From 02704133f47b1dc7a6256ec9a74fc2f70c5f1c31 Mon Sep 17 00:00:00 2001 From: jenstandstad Date: Sat, 11 Apr 2026 09:21:22 +0200 Subject: [PATCH] Initial commit after recreate --- README.md | 100 + content-budget.md | 378 + deploy.sh | 9 + deployment.md | 679 + dist/assets/ChartSingle-B5EnycUf.js | 1 + dist/assets/DefinitionCard-DjuSxCYC.js | 1 + dist/assets/EquationFocus-CZCQ_h0W.js | 1 + dist/assets/FullscreenSplit-Piv2MROz.js | 1 + dist/assets/FullscreenVideo-T7AJva9H.js | 1 + .../FullscreenVideoCenterCaption-Bbw83wap.js | 1 + dist/assets/FullscreenVideoTitle-DvKvZc4X.js | 1 + dist/assets/GlitchComponentFrame-CM7hKmoe.js | 1 + dist/assets/ProcessFlow-B2obDIQa.js | 1 + dist/assets/QuoteImage-C0EQ3Yny.js | 1 + dist/assets/SquareVideo-GgREJSQR.js | 1 + dist/assets/SquareYellow-DRGJP0IQ.js | 1 + dist/assets/index-D2K-duz6.js | 40 + dist/assets/index-DF-iGj8k.css | 1 + .../glitch/glitch_assumption_toggle/.DS_Store | Bin 0 -> 8196 bytes .../glitch_assumption_toggle/Component.d.ts | 2 + 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100644 vite.config.ts create mode 100644 vite.lib.config.ts diff --git a/README.md b/README.md new file mode 100644 index 0000000..16eeb2f --- /dev/null +++ b/README.md @@ -0,0 +1,100 @@ +# Gnommo Player + +This project is a proof of concept for an interactive lecture player. + +## Reusable Player Surface + +The player is now organized so it can be embedded in a larger React app such as GnommoEditor. + +The intended host integration looks like this: + +```tsx +import { + GlitchPlayer, + defaultSlideRegistry, + createSessionId, + type PresentationDefinition, + type VoteRequest +} from "./player"; +import "./player/styles.css"; + +function GnommoEditorPreview({ + presentation, + onVoteCommit +}: { + presentation: PresentationDefinition; + onVoteCommit: (vote: VoteRequest) => Promise | void; +}) { + return ( + + ); +} +``` + +The key boundary is: + +- the host app fetches the presentation +- the host app provides the slide registry +- the host app owns vote/event persistence +- the player owns playback, timing, layout, gestures, and rendering + +## Why This Exists + +The goal is not just to make ordinary videos or ordinary slide decks. + +The goal is to build a pipeline for AI-assisted lecture creation, where a lecture can eventually become a normal YouTube video, but starts as a richer structured presentation format. + +The underlying idea is: + +- A creator writes a lecture script in a web-based presentation editor, similar to Keynote. +- The creator defines a timed slide show and only decides high-level layout behavior, such as whether a slide should be square or fullscreen. +- The creator records talking-head video segments and uploads them. +- Those segments are stitched into a continuous lecture timeline and transcribed. +- The spoken words become the scaffold for when slide events should happen. +- The actual slide contents can then be generated or refined by AI using available templates. + +That slide content does not need to be limited to static slides. A slide may be: + +- a React component +- a chart or visualization +- an image +- a 3D scene +- an interactive explanatory surface + +This creates a new kind of lecture format: + +- the talking head provides narrative continuity +- the slide layer provides rich explanation +- the viewer can inspect, manipulate, and compare alternate variants of the same explanation + +## Product Vision + +The long-term vision is a system for authoring lectures as structured, interactive presentations first, and rendering them into linear video later. + +That means: + +- creators can use AI to help generate visual explanations +- multiple candidate slide variants can compete for the same moment in the lecture +- viewers can browse or interact with those variants +- the format can later crystallize into a fixed canonical video suitable for YouTube + +## Why The Player Matters + +This player is the runtime for that format. + +It proves that a lecture can be represented as: + +- stitched talking-head video segments +- timed slide events on a continuous timeline +- square or fullscreen slide presentation modes +- interactive slide content +- variant selection and future preference learning + +In short: + +This project exists to explore an AI-assisted interactive lecture format that can begin as a live structured presentation and later become a standard video. diff --git a/content-budget.md b/content-budget.md new file mode 100644 index 0000000..c5afe15 --- /dev/null +++ b/content-budget.md @@ -0,0 +1,378 @@ +# GlitchSlide Content Budget + +This document defines content budgets for GlitchPlayer slide templates. + +The goal is not just to keep slides short. The goal is to force clarity. + +A good GlitchSlide should: + +- express one visual idea +- support the spoken script rather than repeat it +- fit the template cleanly +- be short enough to scan instantly +- be specific enough that an AI can generate it reliably + +These limits are for both human authors and AI agents. + +## Core Principle + +Every slide should answer one of these: + +- What is the one thing I want the viewer to notice? +- What is the one comparison I want the viewer to hold? +- What is the one definition I want the viewer to remember? +- What is the one process I want the viewer to understand? + +If a slide tries to do two or three of these at once, it should usually be split. + +## Global Rules + +Across all templates: + +- Prefer one idea per slide. +- Do not restate the exact sentence currently being spoken. +- Assume the narration carries detail; the slide carries structure. +- Keep wording concrete and visual. +- Prefer nouns and verbs over abstract qualifiers. +- Avoid paragraphs unless the template is specifically meant for prose. +- If a slide uses an image, the image should do explanatory work, not decorative work. + +## Character Budgets + +These are hard or near-hard limits. + +- `header`: target 8-28 characters, hard max 36 +- `title`: target 12-36 characters, hard max 48 +- `eyebrow`: target 6-18 characters, hard max 24 +- `body`: target 18-48 characters, hard max 60 +- `quote`: target 18-55 characters, hard max 72 +- `definition`: target 20-55 characters, hard max 70 +- `example`: target 16-45 characters, hard max 60 +- `step label`: target 8-24 characters, hard max 32 +- `chart label`: target 4-12 characters, hard max 14 +- `latexString`: one expression only, hard max 80 characters unless clearly justified + +Important: + +- The hard max exists only for edge cases. +- The target range is the real design intention. + +## Template Budgets + +### 1. `SquareYellow` + +Purpose: + +- one strong image +- one short framing phrase + +Fields: + +- `header` +- `imageSrc` +- `imageAlt` + +Budget: + +- `header`: target 10-24 characters, hard max 32 +- no body text +- image must carry the explanatory weight + +Good: + +- `GROWTH LOOKS FINE` +- `LIFE FEELS TIGHT` +- `OUTPUT IS NOT SECURITY` + +Bad: + +- `This chart suggests that maybe people do not experience economic growth as safety` + +### 2. `FullscreenSplit` + +Purpose: + +- one image +- one short text block +- often used for transitions and seam masking + +Fields: + +- `eyebrow` +- `title` +- `body` +- `imageSrc` +- `imageAlt` +- `imagePosition` + +Budget: + +- `eyebrow`: target 6-14 characters +- `title`: target 16-34 characters, hard max 44 +- `body`: target 18-42 characters, hard max 56 +- title + body together should usually stay under 75 characters + +Good: + +- title: `Fullscreen hides the stitch` +- body: `The talk keeps moving underneath.` + +Bad: + +- title: `A fullscreen explanatory slide can be used to conceal the visible segment transition` + +### 3. `EquationFocus` + +Purpose: + +- one mathematical expression +- one short framing line + +Fields: + +- `eyebrow` +- `title` +- `latexString` +- `annotation` + +Budget: + +- `title`: target 14-32 characters +- `latexString`: one expression only +- `annotation`: target 18-42 characters, hard max 56 + +Rules: + +- no derivations +- no multi-line proofs +- no second equation unless the template changes +- use this slide only when the equation itself is the visual object + +Good: + +- title: `Definition of the mean` +- latex: `\\bar{x} = \\frac{1}{N}\\sum_{i=0}^{N} x_i` +- annotation: `Add values. Divide by count.` + +### 4. `QuoteImage` + +Purpose: + +- a short line worth holding in memory +- reinforced by a meaningful image + +Fields: + +- `eyebrow` +- `quote` +- `attribution` +- `imageSrc` +- `imageAlt` +- `imagePosition` + +Budget: + +- `quote`: target 20-50 characters, hard max 70 +- `attribution`: target 4-18 characters, hard max 24 + +Rules: + +- prefer one sentence +- avoid long punctuation-heavy quotes +- the quote should be memorable enough to stand alone + +### 5. `ChartSingle` + +Purpose: + +- one simple directional comparison + +Fields: + +- `eyebrow` +- `title` +- `body` +- `points[]` + +Budget: + +- `title`: target 14-30 characters +- `body`: target 12-36 characters, hard max 48 +- number of bars: 3-5 preferred, hard max 6 +- each `label`: target 4-10 characters + +Rules: + +- if the story requires 2+ caveats, this is the wrong template +- if the chart needs a legend, it is probably too complex +- if the spoken narration explains the trend, the body can be extremely short + +### 6. `ProcessFlow` + +Purpose: + +- show a sequence +- show a pipeline + +Fields: + +- `eyebrow` +- `title` +- `steps[]` + +Budget: + +- `title`: target 14-34 characters +- steps: 3-5 preferred, hard max 6 +- each step: target 8-22 characters, hard max 30 + +Rules: + +- each step should be a short action phrase +- do not use full sentences +- if the process is too dense, break it into two slides + +Good: + +- `Write the script` +- `Record the talk` +- `Align slide cues` +- `Compare variants` + +### 7. `DefinitionCard` + +Purpose: + +- define one important term + +Fields: + +- `eyebrow` +- `term` +- `definition` +- `example` + +Budget: + +- `term`: target 6-22 characters +- `definition`: target 20-50 characters, hard max 65 +- `example`: target 16-40 characters, hard max 52 + +Rules: + +- the definition should feel like a distilled sentence +- the example should be concrete, not another abstraction + +## AI Authoring Strategy + +An AI agent that knows the full script should not begin by writing slide text. + +It should do this: + +1. Segment the script into beats. +2. Decide whether a beat needs a slide at all. +3. For each beat, decide the job of the slide: + - emphasize + - compare + - define + - quantify + - show process + - frame transition +4. Choose the simplest template that can do that job. +5. Generate the shortest possible text that still makes the visual legible. +6. Generate or choose an image only if the image advances the concept. +7. Reject outputs that exceed the template budget. + +The AI should think: + +- What information is already handled by the narration? +- What should the viewer be able to grasp in under one second? +- What can be implied visually instead of written? + +## AI Success Criteria + +An AI agent is successful when it produces slides that: + +- are shorter than a human expects +- fit the template cleanly +- create contrast with the spoken script instead of duplication +- feel intentional at a glance +- are consistent across many variants + +The AI is not successful when it: + +- fills every available text field +- writes explanatory paragraphs +- repeats what the speaker is already saying +- chooses verbose abstraction over concrete contrast +- generates decorative images unrelated to the spoken idea + +## Content Selection Heuristics + +When an AI has the full script, it should prefer: + +- compression over coverage +- framing over redundancy +- contrast over completeness +- structure over explanation + +Examples: + +- If the script explains a formula, the slide should show the formula and one short gloss. +- If the script gives a long example, the slide should usually show only the key noun, image, or comparison. +- If the speaker is already listing steps verbally, the slide should show only the short step labels. + +## Image Guidance + +For templates with images: + +- images should represent the concept, not merely the topic +- avoid generic “people in office” stock unless the point is collaboration itself +- prefer clear compositional silhouettes and readable subjects +- image prompts should be optimized for one strong central concept + +Bad image prompt: + +- `A professional office environment showing people working together in a modern setting` + +Better image prompt: + +- `Overhead crowd crossing a city square, motion blur, sense of pressure` + +## Validation Rules + +Before accepting a slide, a human or AI validator should check: + +- does each field stay within budget? +- does the text visually fit the template? +- is the slide saying one thing? +- is the slide too close to the spoken line? +- does the image help? +- would removing 20% of the words improve it? + +If the answer to the last question is yes, revise it. + +## Recommended Future Enforcement + +Later, GnommoEditor should encode these budgets in schema or validation rules. + +That would let: + +- human authors get inline warnings +- AI agents get explicit failure signals +- slide generation become more predictable + +Recommended future shape: + +- every template exposes field budgets +- editors validate them live +- AI generators receive the budgets as part of the prompt contract +- ranking systems can penalize overcrowded slides + +## Bottom Line + +The content budget is not an inconvenience. + +It is the mechanism that forces both humans and AI to become visually intelligent. + +Shorter slides are harder to write, but much easier to understand. diff --git a/deploy.sh b/deploy.sh new file mode 100755 index 0000000..a29990a --- /dev/null +++ b/deploy.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +set -euo pipefail + +ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +TARGET="${1:-all}" + +cd "$ROOT_DIR" +node scripts/deploy-vendor.mjs "$TARGET" "${@:2}" diff --git a/deployment.md b/deployment.md new file mode 100644 index 0000000..7212d13 --- /dev/null +++ b/deployment.md @@ -0,0 +1,679 @@ +# Deploying GlitchPlayer Into Another React + Vite App + +This guide explains how to include `GlitchPlayer` inside another user interface that is also built with React and Vite. + +The target mental model is: + +- your host app owns routing, fetching, auth, persistence, and editor UI +- `GlitchPlayer` owns presentation playback, responsive layout, slide rendering, gesture handling, pause/resume behavior, and voting UI + +In other words, `GlitchPlayer` should behave like an embeddable runtime surface inside a larger product such as GnommoEditor. + +For editor integrations, this package also exposes: + +- `GlitchSlideRenderer` +- `GlitchSlideThumbnail` + +For template pickers, prefer the normalized availability exports: + +- `slideTemplateAvailabilityList` +- `slideTemplateAvailabilityByDisplayMode` + +These expand templates by display mode. If a template supports both `square` and `fullscreen`, it appears once for each supported format. + +## 1. What The Host App Must Provide + +To render `GlitchPlayer`, the host app needs to provide: + +- a `presentation` object +- a `slideRegistry` +- an optional player mode +- an optional target slide id +- an optional vote handler +- an optional player event handler +- an optional session id + +Today, the public player surface is exported from: + +- [src/player/index.ts](/Users/jenstandstad/Projects/gnommoplayer/src/player/index.ts) + +The primary component is: + +- `GlitchPlayer` +- `GlitchSlideRenderer` +- `GlitchSlideThumbnail` + +The key types are: + +- `PresentationDefinition` +- `SlideRegistry` +- `VoteRequest` +- `ClientEvent` + +For editor-driven slide forms and template pickers, this package also exports: + +- `slideTemplateDefinitions` +- `slideTemplateDefinitionList` +- `slideTemplateAvailabilityList` +- `slideTemplateAvailabilityByDisplayMode` +- `slideTemplateDrafts` +- `slideTemplateBudgets` + +For hosted interactive Glitch components, the player also supports a base URL convention: + +- `VITE_GLITCH_COMPONENT_BASE_URL` + +If a `GlitchComponentFrame` slide omits `componentUrl`, the player resolves the iframe source as: + +- `${VITE_GLITCH_COMPONENT_BASE_URL || "/glitch"}/glitch_${componentId.replace(/-/g, "_")}/index.html` + +That matches the pattern where built Glitch component assets are copied into `public/glitch/...`. + +## 2. Public API + +Current host usage looks like this: + +```tsx +import { + GlitchPlayer, + GlitchSlideThumbnail, + createSessionId, + defaultSlideRegistry, + type PresentationDefinition, + type Slide, + type VoteRequest, + type ClientEvent +} from "gnommoplayer"; +import "gnommoplayer/player/styles.css"; + +interface PlayerHostProps { + presentation: PresentationDefinition; +} + +export function PlayerHost({ presentation }: PlayerHostProps) { + async function handleVoteCommit(vote: VoteRequest) { + await fetch(`/api/presentations/${presentation.id}/votes`, { + method: "POST", + headers: { + "Content-Type": "application/json" + }, + body: JSON.stringify(vote) + }); + } + + function handlePlayerEvent(event: ClientEvent) { + console.log("[glitch-player-event]", event); + } + + return ( + + ); +} +``` + +## 2.1 Rendering Slide Thumbnails In An Editor + +Use `GlitchSlideThumbnail` for slide lists, cards, and inspector previews. It renders the actual slide component without video playback or player chrome. + +```tsx +function SlideCard({ + presentationId, + slide, +}: { + presentationId: string; + slide: Slide; +}) { + return ( + + ); +} +``` + +Use `GlitchSlideRenderer` when you want a larger slide-only render surface without the surrounding player. + +## 2.1 Previewing A Specific Slide + +For editor workflows, `GlitchPlayer` can start in a slide-targeted preview mode. + +Use: + +- `mode="slide-preview"` +- `targetSlideId="some-slide-id"` + +Example: + +```tsx + +``` + +That mode is useful when: + +- an editor wants to preview one slide in context +- a template author wants to inspect a specific candidate +- GnommoEditor wants to jump directly to the currently selected slide in the timeline + +## 3. Installation Strategy + +There are two practical ways to use `GlitchPlayer` inside another Vite app. + +### Option A: Local workspace dependency + +Use this when the host app and `gnommoplayer` live side-by-side during active development. + +Example: + +```json +{ + "dependencies": { + "gnommoplayer": "file:../gnommoplayer" + } +} +``` + +Then install as usual: + +```bash +npm install +``` + +This is the easiest path while GlitchPlayer is still evolving rapidly. + +### Option B: Internal package + +Use this when the player should be versioned and consumed more formally. + +That usually means: + +- adding a proper package export map +- producing a distributable build +- publishing to a private npm registry or workspace package feed + +This repo is not fully packaged for that yet, but the code is now organized in a way that makes that a straightforward next step. + +### Option C: Built Files Only + +Use this when another agent or deployment process is only allowed to fetch compiled assets from this repo. + +Build the vendor assets with: + +```bash +npm run build:lib +``` + +Or simply run: + +```bash +npm run build +``` + +which now builds both the demo app and the vendor assets in one pass. + +That produces these stable files: + +- `dist/vendor/gnommoplayer.js` +- `dist/vendor/gnommoplayer.css` + +This is the best path for GnommoEditor if the integration process is only allowed to pull built artifacts rather than source files. + +## 3.1 Local Deployment Commands + +This repo includes a deployment helper that copies the latest built vendor bundle into sibling apps. + +Available commands: + +```bash +npm run deploy:editor +npm run deploy:web +npm run deploy:all +./deploy.sh editor +./deploy.sh web +./deploy.sh all +``` + +The shell wrapper is useful when you just want a short deploy command from the repo root: + +```bash +./deploy.sh +``` + +That defaults to: + +```bash +npm run deploy:all +``` + +The npm commands are still available too: + +```bash +npm run deploy:editor +npm run deploy:web +npm run deploy:all +``` + +These commands: + +- run `npm run build:lib` +- ensure the vendor artifacts exist +- copy the latest bundle into the target app + +Current target paths: + +- `../gnommoeditor/src/vendor/gnommoplayer` +- `../gnommoweb/src/vendor/gnommoplayer` + +The underlying script lives at: + +- [scripts/deploy-vendor.mjs](/Users/jenstandstad/Projects/gnommoplayer/scripts/deploy-vendor.mjs) + +You can also call it directly: + +```bash +node scripts/deploy-vendor.mjs editor +node scripts/deploy-vendor.mjs web +node scripts/deploy-vendor.mjs all +node scripts/deploy-vendor.mjs all --skip-build +``` + +Use `--skip-build` only when you know `dist/vendor/` already contains the bundle you want to publish. + +## 4. Styling Requirements + +Import the player stylesheet once in the host app: + +```tsx +import "gnommoplayer/player/styles.css"; +``` + +If the host app is consuming built files directly instead of the source package, import the compiled vendor assets instead: + +```tsx +import "../vendor/gnommoplayer/gnommoplayer.css"; +import { + GlitchPlayer, + GlitchSlideThumbnail, + defaultSlideRegistry +} from "../vendor/gnommoplayer/gnommoplayer.js"; +``` + +Inside this repo, that stylesheet entry currently lives at: + +- [src/player/styles.css](/Users/jenstandstad/Projects/gnommoplayer/src/player/styles.css) + +Important notes: + +- The player expects to own its own visual surface. +- The host should avoid wrapping it in containers that impose additional padding, border radius, or clipping unless that is intentional. +- The player uses viewport-aware layout logic and expects enough room to center its stage within the available host surface. + +Recommended host wrapper: + +```tsx +export function PlayerScreen({ children }: { children: React.ReactNode }) { + return ( +
+ {children} +
+ ); +} +``` + +If the host app has its own page chrome, toolbars, or inspector panels, mount the player inside a dedicated content region rather than inside an arbitrary card component. + +## 4.1 Built-File Vendor Workflow + +For a sibling React + Vite app that is only allowed to fetch built files, the cleanest integration flow is: + +1. Run `npm run build:lib` in `gnommoplayer` +2. Copy: + - `dist/vendor/gnommoplayer.js` + - `dist/vendor/gnommoplayer.css` +3. Place them in a vendor folder inside the host app, for example: + - `src/vendor/gnommoplayer/gnommoplayer.js` + - `src/vendor/gnommoplayer/gnommoplayer.css` +4. Import the CSS once near the app root +5. Import the JS module where the host renders the player or thumbnails + +The built JS bundle already inlines the dynamic slide imports, so the host does not need to manage extra chunk files for the standard slide set. + +## 5. Presentation Data Contract + +`GlitchPlayer` expects a `PresentationDefinition`. + +That type is currently defined in: + +- [src/types/lecture.ts](/Users/jenstandstad/Projects/gnommoplayer/src/types/lecture.ts) + +At the moment, `PresentationDefinition` is an alias for the existing internal `LectureDefinition` shape. + +The important fields are: + +```ts +interface PresentationDefinition { + id: string; + title: string; + version: string; + durationSec: number; + segments: VideoSegment[]; + slides: Slide[]; +} +``` + +Each presentation needs: + +- ordered video segments +- timed slides +- one or more `glitchSlides` per logical slide +- valid `componentKey` values that exist in the registry supplied by the host + +## 6. Loading Presentations In The Host App + +The host app should fetch presentation data before rendering `GlitchPlayer`. + +Example host loader: + +```tsx +import { useEffect, useState } from "react"; +import { GlitchPlayer, type PresentationDefinition } from "gnommoplayer"; + +export function PresentationRoute({ + presentationId +}: { + presentationId: string; +}) { + const [presentation, setPresentation] = + useState(null); + const [error, setError] = useState(null); + + useEffect(() => { + let cancelled = false; + + fetch(`/api/presentations/${presentationId}`) + .then(async (response) => { + if (!response.ok) { + throw new Error(`Failed to load presentation ${presentationId}`); + } + + return (await response.json()) as PresentationDefinition; + }) + .then((data) => { + if (!cancelled) { + setPresentation(data); + } + }) + .catch((caughtError: unknown) => { + if (!cancelled) { + setError( + caughtError instanceof Error + ? caughtError.message + : "Could not load presentation." + ); + } + }); + + return () => { + cancelled = true; + }; + }, [presentationId]); + + if (error) { + return
{error}
; + } + + if (!presentation) { + return
Loading…
; + } + + return ( + + ); +} +``` + +## 7. Slide Registry Integration + +The registry maps `componentKey` strings from presentation data to lazily-loaded React modules. + +It looks like this: + +```ts +type SlideRegistry = Record< + string, + () => Promise<{ default: React.ComponentType }> +>; +``` + +In this repo, the built-in demo registry lives at: + +- [src/lib/slideRegistry.ts](/Users/jenstandstad/Projects/gnommoplayer/src/lib/slideRegistry.ts) + +Example host registry: + +```tsx +import type { SlideRegistry } from "gnommoplayer"; + +export const gnommoEditorSlideRegistry: SlideRegistry = { + SquareYellow: () => import("./slides/SquareYellow"), + FullscreenSplit: () => import("./slides/FullscreenSplit"), + RevenueChart: () => import("./slides/RevenueChart"), + OrbitalModel3D: () => import("./slides/OrbitalModel3D") +}; +``` + +Rules to keep in mind: + +- Every `componentKey` referenced by the presentation must exist in the registry. +- Components should be deterministic and reasonably lightweight. +- Prefer `componentKey + props` over arbitrary runtime code from a database. +- If the host supports custom submitted code, that code should be reviewed or sandboxed before entering the public registry. + +## 8. Vote Handling + +The player can emit vote requests through `onVoteCommit`. + +That callback receives a `VoteRequest`: + +```ts +interface VoteRequest { + lectureId: string; + slideId: string; + previousGlitchSlideId: string; + selectedGlitchSlideId: string; + voteDirection?: "up" | "down"; + sessionId: string; + timestamp: string; + deviceContext: DeviceContext; +} +``` + +Even though the field is still named `lectureId` internally, treat it as the presentation id for integration purposes. + +Recommended host behavior: + +- send the vote request to your own API +- include auth/session context on the server side +- do not block the UI longer than necessary +- log failures, but keep playback usable + +Example: + +```tsx +async function handleVoteCommit(vote: VoteRequest) { + const response = await fetch(`/api/presentations/${vote.lectureId}/votes`, { + method: "POST", + headers: { + "Content-Type": "application/json" + }, + body: JSON.stringify(vote) + }); + + if (!response.ok) { + throw new Error("Vote request failed."); + } +} +``` + +## 9. Player Events + +The host can also listen to runtime events via `onEvent`. + +Current events include things like: + +- `lecture_loaded` +- `segment_changed` +- `slide_activated` +- `soft_pause_started` +- `soft_pause_ended` +- `glitch_slide_changed` +- `vote_committed` + +This is useful for: + +- analytics +- debugging +- editor preview tooling +- QA capture + +Example: + +```tsx +function handlePlayerEvent(event: ClientEvent) { + if (event.type === "slide_activated") { + console.log("Active slide:", event.slideId, event.glitchSlideId); + } +} +``` + +## 10. Recommended Host Layout + +For a host app like GnommoEditor, a strong integration pattern is: + +- app shell owns toolbar, navigation, inspector, and editor panels +- central preview region owns the player mount +- the player fills that preview region + +Example: + +```tsx +export function EditorPreviewPane({ + presentation +}: { + presentation: PresentationDefinition; +}) { + return ( +
+ +
+ ); +} +``` + +Important: + +- make sure the containing region allows height to collapse properly with `min-height: 0` when used inside flex or grid shells +- avoid nesting inside containers with accidental `overflow: hidden` unless intended +- avoid wrapping the player in padded cards, because the player already frames its own stage + +## 11. Vite Considerations + +If the host app is also using Vite: + +- dynamic `import()` for slide components will work well +- CSS import from the player should be straightforward +- local workspace dependency is usually the easiest during development + +Potential issues to watch: + +- duplicated React versions between host and player +- CSS ordering conflicts if the host imports many global styles after the player stylesheet +- path alias assumptions if you later move this from repo-local import to packaged dependency + +Recommended safeguards: + +- keep React and ReactDOM deduped in the workspace +- import player styles at the app shell level +- keep slide modules in the host app, not hidden inside the player package, if GnommoEditor should own template evolution + +## 12. Minimal GnommoEditor Integration Plan + +If the target is GnommoEditor, the simplest inclusion path is: + +1. Add `gnommoplayer` as a workspace or file dependency. +2. Import `GlitchPlayer` and `player/styles.css`. +3. Fetch the current presentation from GnommoEditor’s backend. +4. Build a host-owned slide registry matching the templates GnommoEditor supports. +5. Pass vote commits into a GnommoEditor API endpoint. +6. Optionally use `onEvent` to power preview analytics or editor debugging. + +That gives GnommoEditor responsibility for: + +- data +- registry +- persistence +- product shell + +And leaves GlitchPlayer responsible for: + +- playback +- timeline +- responsive stage layout +- slide rendering +- drag browsing +- voting interaction UI + +## 13. Suggested Next Steps Before Production Embedding + +Before using this as a stable shared dependency, I recommend: + +1. Rename remaining internal `lecture*` event/type fields to `presentation*` where possible. +2. Add a package export map for `src/player/index.ts`. +3. Add a small integration example app or Storybook-like preview host. +4. Add a few host-level visual regression tests for portrait and landscape framing. +5. Decide whether the player package or the host app owns built-in default slide templates. + +## 14. Current Reality Check + +Right now, GlitchPlayer is reusable enough to embed in another React + Vite app, especially in a workspace-style setup. + +It is not yet a polished published library, but it already has the right architectural boundary: + +- host app provides presentation + registry + persistence +- GlitchPlayer provides runtime playback and interaction + +That is the correct seam for moving this into GnommoEditor. diff --git a/dist/assets/ChartSingle-B5EnycUf.js b/dist/assets/ChartSingle-B5EnycUf.js new file mode 100644 index 0000000..3f5bc8d --- /dev/null +++ b/dist/assets/ChartSingle-B5EnycUf.js @@ -0,0 +1 @@ +import{j as a}from"./index-D2K-duz6.js";function h(s){if(!Array.isArray(s)||s.length===0)return[{label:"Security",value:72,color:"#111"},{label:"Trust",value:58,color:"rgba(17, 17, 17, 0.72)"},{label:"Growth",value:44,color:"rgba(17, 17, 17, 0.52)"}];const c=[];return s.forEach((e,n)=>{if(!e||typeof e!="object")return;const l=e,t=Number(l.value);c.push({label:String(l.label??`Series ${n+1}`),value:Number.isFinite(t)?Math.max(0,t):0,color:typeof l.color=="string"?l.color:void 0})}),c.length>0?c:[{label:"Security",value:72,color:"#111"},{label:"Trust",value:58,color:"rgba(17, 17, 17, 0.72)"},{label:"Growth",value:44,color:"rgba(17, 17, 17, 0.52)"}]}function u({props:s,paused:c}){const e=s,n=String(e.header??e.eyebrow??"Chart single"),l=String(e.title??"One chart, one comparison"),t=String(e.body??"Use one chart for one contrast."),o=h(e.points),i=Math.max(...o.map(r=>r.value),1);return a.jsx("article",{className:`chart-single ${c?"chart-single--paused":""}`,children:a.jsxs("div",{className:"chart-single__content",children:[a.jsxs("div",{className:"chart-single__copy",children:[a.jsx("p",{className:"chart-single__eyebrow",children:n}),a.jsx("h2",{className:"chart-single__title",children:l}),a.jsx("p",{className:"chart-single__body",children:t})]}),a.jsx("div",{className:"chart-single__plot",role:"img","aria-label":l,children:o.map(r=>a.jsxs("div",{className:"chart-single__row",children:[a.jsx("span",{className:"chart-single__label",children:r.label}),a.jsx("div",{className:"chart-single__bar-track",children:a.jsx("div",{className:"chart-single__bar-fill",style:{width:`${r.value/i*100}%`,background:r.color??"#111"}})}),a.jsx("span",{className:"chart-single__value",children:r.value})]},r.label))})]})})}export{u as default}; diff --git a/dist/assets/DefinitionCard-DjuSxCYC.js b/dist/assets/DefinitionCard-DjuSxCYC.js new file mode 100644 index 0000000..cd3717f --- /dev/null +++ b/dist/assets/DefinitionCard-DjuSxCYC.js @@ -0,0 +1 @@ +import{j as e}from"./index-D2K-duz6.js";function o({props:n,paused:t}){const i=n,a=String(i.header??i.eyebrow??"Definition"),r=String(i.term??"Crystallization"),d=String(i.definition??"An interactive talk becomes a fixed video."),s=String(i.example??"Same source. Cleaner final cut.");return e.jsx("article",{className:`definition-card ${t?"definition-card--paused":""}`,children:e.jsxs("div",{className:"definition-card__content",children:[e.jsx("p",{className:"definition-card__eyebrow",children:a}),e.jsx("h2",{className:"definition-card__term",children:r}),e.jsx("p",{className:"definition-card__definition",children:d}),e.jsx("p",{className:"definition-card__example",children:s})]})})}export{o as default}; diff --git a/dist/assets/EquationFocus-CZCQ_h0W.js b/dist/assets/EquationFocus-CZCQ_h0W.js new file mode 100644 index 0000000..88da11e --- /dev/null +++ b/dist/assets/EquationFocus-CZCQ_h0W.js @@ -0,0 +1 @@ +import{r as w,j as i}from"./index-D2K-duz6.js";const y="glitch-player-mathjax",E="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js";let x=null;function M(){var d;return typeof window>"u"||typeof document>"u"||(d=window.MathJax)!=null&&d.typesetPromise?Promise.resolve():x||(x=new Promise((s,u)=>{var l;window.MathJax=window.MathJax??{};const n=document.getElementById(y),a=()=>{var e,c;n&&(n.dataset.loaded="true");const f=(c=(e=window.MathJax)==null?void 0:e.startup)==null?void 0:c.promise;if(f){f.then(()=>s()).catch(u);return}s()};if(n){if(n.dataset.loaded==="true"||(l=window.MathJax)!=null&&l.typesetPromise){a();return}n.addEventListener("load",a,{once:!0}),n.addEventListener("error",()=>u(new Error("Failed to load MathJax.")),{once:!0});return}const t=document.createElement("script");t.id=y,t.async=!0,t.src=E,t.addEventListener("load",()=>{t.dataset.loaded="true",a()},{once:!0}),t.addEventListener("error",()=>u(new Error("Failed to load MathJax.")),{once:!0}),document.head.appendChild(t)}),x)}function g({props:d,latexString:s,displayMode:u,paused:n}){const a=d,t=String(a.header??a.eyebrow??"Equation focus"),l=String(a.title??"Definition of the mean"),f=String(a.annotation??"The mean is the total of all observations divided by the number of observations."),e=w.useRef(null),[c,p]=w.useState("loading");return w.useEffect(()=>{const J=e.current,_=s??String.raw`\bar{x} = \frac{1}{N}\sum_{i=0}^{N} x_i`;if(!J)return;let h=!1;return p("loading"),M().then(async()=>{var r,q,m,v;if(h||!e.current)return;const o=e.current;o.textContent=`\\[${_}\\]`,(q=(r=window.MathJax)==null?void 0:r.typesetClear)==null||q.call(r,[o]),await((v=(m=window.MathJax)==null?void 0:m.typesetPromise)==null?void 0:v.call(m,[o])),h||p("ready")}).catch(()=>{!h&&e.current&&(e.current.textContent=_,p("error"))}),()=>{var o,r;h=!0,e.current&&((r=(o=window.MathJax)==null?void 0:o.typesetClear)==null||r.call(o,[e.current]))}},[s]),i.jsx("article",{className:`equation-focus equation-focus--${u} ${n?"equation-focus--paused":""}`,children:i.jsxs("div",{className:"equation-focus__content",children:[i.jsx("p",{className:"equation-focus__eyebrow",children:t}),i.jsx("h2",{className:"equation-focus__title",children:l}),i.jsx("div",{className:"equation-focus__equation-frame",children:i.jsx("div",{ref:e,className:`equation-focus__equation equation-focus__equation--mathjax ${c==="loading"?"equation-focus__equation--loading":""} ${c==="error"?"equation-focus__equation--error":""}`,"aria-live":"polite"})}),i.jsx("p",{className:"equation-focus__annotation",children:f})]})})}export{g as default}; diff --git a/dist/assets/FullscreenSplit-Piv2MROz.js b/dist/assets/FullscreenSplit-Piv2MROz.js new file mode 100644 index 0000000..c0d3754 --- /dev/null +++ b/dist/assets/FullscreenSplit-Piv2MROz.js @@ -0,0 +1 @@ +import{j as e}from"./index-D2K-duz6.js";function m({props:t,paused:i}){const s=t,n=String(s.eyebrow??"Fullscreen split"),l=String(s.title??"One image. One idea."),a=String(s.body??"Fullscreen keeps the seam invisible."),c=String(s.imageSrc??"https://images.unsplash.com/photo-1516321318423-f06f85e504b3?auto=format&fit=crop&w=1200&q=80"),r=String(s.imageAlt??l),p=s.imagePosition==="right"?"right":"left";return e.jsxs("article",{className:`fullscreen-split ${i?"fullscreen-split--paused":""} fullscreen-split--image-${p}`,children:[e.jsx("div",{className:"fullscreen-split__panel fullscreen-split__panel--image",children:e.jsx("img",{className:"fullscreen-split__image",src:c,alt:r})}),e.jsx("div",{className:"fullscreen-split__panel fullscreen-split__panel--text",children:e.jsxs("div",{className:"fullscreen-split__text",children:[e.jsx("p",{className:"fullscreen-split__eyebrow",children:n}),e.jsx("h2",{className:"fullscreen-split__title",children:l}),e.jsx("p",{className:"fullscreen-split__body",children:a})]})})]})}export{m as default}; diff --git a/dist/assets/FullscreenVideo-T7AJva9H.js b/dist/assets/FullscreenVideo-T7AJva9H.js new file mode 100644 index 0000000..b023b2c --- /dev/null +++ b/dist/assets/FullscreenVideo-T7AJva9H.js @@ -0,0 +1 @@ +import{r as m,j as s}from"./index-D2K-duz6.js";function y({props:x,paused:u,onMediaLoadingChange:r}){const l=x,v=String(l.header??"").trim(),S=String(l.caption??"").trim(),c=String(l.videoSrc??"").trim(),_=String(l.posterSrc??"").trim(),f=m.useRef(null);return m.useEffect(()=>{const t=f.current;if(!t)return;if(u){t.pause();return}const p=t.play();p&&typeof p.catch=="function"&&p.catch(()=>{})},[u,c]),m.useEffect(()=>{if(!c){r==null||r(!1);return}return r==null||r(!0),()=>{r==null||r(!1);const t=f.current;t&&(t.pause(),t.currentTime=0)}},[r,c]),s.jsxs("article",{className:`fullscreen-video ${u?"fullscreen-video--paused":""}`,children:[s.jsx("video",{ref:f,className:"fullscreen-video__media",src:c,poster:_||void 0,autoPlay:!0,playsInline:!0,preload:"metadata",controls:!1,onLoadedData:()=>r==null?void 0:r(!1),onCanPlay:()=>r==null?void 0:r(!1),onPlaying:()=>r==null?void 0:r(!1),onLoadStart:()=>r==null?void 0:r(!0),onWaiting:()=>r==null?void 0:r(!0),onStalled:()=>r==null?void 0:r(!0),onSuspend:()=>r==null?void 0:r(!1),onEnded:()=>r==null?void 0:r(!1),onError:()=>r==null?void 0:r(!1)}),v?s.jsx("div",{className:"fullscreen-video__chrome",children:s.jsx("p",{className:"fullscreen-video__header",children:v})}):null,S?s.jsx("p",{className:"fullscreen-video__caption",children:S}):null]})}export{y as default}; diff --git a/dist/assets/FullscreenVideoCenterCaption-Bbw83wap.js b/dist/assets/FullscreenVideoCenterCaption-Bbw83wap.js new file mode 100644 index 0000000..2b8c7e7 --- /dev/null +++ b/dist/assets/FullscreenVideoCenterCaption-Bbw83wap.js @@ -0,0 +1 @@ +import{r as v,j as c}from"./index-D2K-duz6.js";function j({props:S,paused:l,onMediaLoadingChange:t}){const u=S,m=String(u.caption??"").trim(),s=String(u.videoSrc??"").trim(),x=String(u.posterSrc??"").trim(),f=v.useRef(null);return v.useEffect(()=>{const r=f.current;if(!r)return;if(l){r.pause();return}const p=r.play();p&&typeof p.catch=="function"&&p.catch(()=>{})},[l,s]),v.useEffect(()=>{if(!s){t==null||t(!1);return}return t==null||t(!0),()=>{t==null||t(!1);const r=f.current;r&&(r.pause(),r.currentTime=0)}},[t,s]),c.jsxs("article",{className:`fullscreen-video-center-caption ${l?"fullscreen-video-center-caption--paused":""}`,children:[c.jsx("video",{ref:f,className:"fullscreen-video-center-caption__media",src:s,poster:x||void 0,autoPlay:!0,playsInline:!0,preload:"metadata",controls:!1,onLoadedData:()=>t==null?void 0:t(!1),onCanPlay:()=>t==null?void 0:t(!1),onPlaying:()=>t==null?void 0:t(!1),onLoadStart:()=>t==null?void 0:t(!0),onWaiting:()=>t==null?void 0:t(!0),onStalled:()=>t==null?void 0:t(!0),onSuspend:()=>t==null?void 0:t(!1),onEnded:()=>t==null?void 0:t(!1),onError:()=>t==null?void 0:t(!1)}),m?c.jsx("div",{className:"fullscreen-video-center-caption__overlay",children:c.jsx("p",{className:"fullscreen-video-center-caption__caption",children:m})}):null]})}export{j as default}; diff --git a/dist/assets/FullscreenVideoTitle-DvKvZc4X.js b/dist/assets/FullscreenVideoTitle-DvKvZc4X.js new file mode 100644 index 0000000..d5af70b --- /dev/null +++ b/dist/assets/FullscreenVideoTitle-DvKvZc4X.js @@ -0,0 +1 @@ +import{r as p,j as l}from"./index-D2K-duz6.js";const y="No need to be discrete";function _({props:m,paused:c,onMediaLoadingChange:t}){const u=m,S=String(u.title??"").trim()||y,s=String(u.videoSrc??"").trim(),x=String(u.posterSrc??"").trim(),f=p.useRef(null);return p.useEffect(()=>{const r=f.current;if(!r)return;if(c){r.pause();return}const v=r.play();v&&typeof v.catch=="function"&&v.catch(()=>{})},[c,s]),p.useEffect(()=>{if(!s){t==null||t(!1);return}return t==null||t(!0),()=>{t==null||t(!1);const r=f.current;r&&(r.pause(),r.currentTime=0)}},[t,s]),l.jsxs("article",{className:`fullscreen-video-title ${c?"fullscreen-video-title--paused":""}`,children:[l.jsx("video",{ref:f,className:"fullscreen-video-title__media",src:s,poster:x||void 0,autoPlay:!0,playsInline:!0,preload:"metadata",controls:!1,onLoadedData:()=>t==null?void 0:t(!1),onCanPlay:()=>t==null?void 0:t(!1),onPlaying:()=>t==null?void 0:t(!1),onLoadStart:()=>t==null?void 0:t(!0),onWaiting:()=>t==null?void 0:t(!0),onStalled:()=>t==null?void 0:t(!0),onSuspend:()=>t==null?void 0:t(!1),onEnded:()=>t==null?void 0:t(!1),onError:()=>t==null?void 0:t(!1)}),l.jsx("div",{className:"fullscreen-video-title__overlay",children:l.jsx("h2",{className:"fullscreen-video-title__title",children:S})})]})}export{_ as default}; diff --git a/dist/assets/GlitchComponentFrame-CM7hKmoe.js b/dist/assets/GlitchComponentFrame-CM7hKmoe.js new file mode 100644 index 0000000..12a90a6 --- /dev/null +++ b/dist/assets/GlitchComponentFrame-CM7hKmoe.js @@ -0,0 +1 @@ +import{j as t}from"./index-D2K-duz6.js";function s(e){return e.replace(/\/+$/,"")}function m(){return s("/glitch")}function p(e){return`glitch_${e.replace(/-/g,"_")}`}function h(e,o){const c=o==null?void 0:o.trim();if(c)return c;const n=m(),l=p(e);return`${n}/${l}/index.html`}function f({props:e,displayMode:o,paused:c}){const n=e,l=String(n.header??"Interactive component"),r=String(n.componentId??"glitch-component"),i=h(r,String(n.componentUrl??"").trim()),a=String(n.caption??"Explore the model directly inside the slide.");return t.jsxs("article",{className:`glitch-component-frame glitch-component-frame--${o} ${c?"glitch-component-frame--paused":""}`,children:[t.jsxs("div",{className:"glitch-component-frame__chrome",children:[t.jsx("p",{className:"glitch-component-frame__eyebrow",children:l}),t.jsx("p",{className:"glitch-component-frame__id",children:r})]}),t.jsx("div",{className:"glitch-component-frame__viewport",children:t.jsx("iframe",{className:"glitch-component-frame__iframe",src:i,title:l||r,loading:"lazy",allow:"fullscreen; autoplay; xr-spatial-tracking",sandbox:"allow-scripts allow-same-origin allow-pointer-lock allow-popups allow-forms"})}),t.jsx("p",{className:"glitch-component-frame__caption",children:a})]})}export{f as default}; diff --git a/dist/assets/ProcessFlow-B2obDIQa.js b/dist/assets/ProcessFlow-B2obDIQa.js new file mode 100644 index 0000000..3f904fd --- /dev/null +++ b/dist/assets/ProcessFlow-B2obDIQa.js @@ -0,0 +1 @@ +import{j as s}from"./index-D2K-duz6.js";function i(e){return!Array.isArray(e)||e.length===0?["Record talking-head segments","Align transcript to timeline","Generate slide variants","Play, compare, and refine"]:e.map(r=>String(r))}function d({props:e,paused:r}){const o=e,l=String(o.eyebrow??"Process flow"),a=String(o.title??"How it becomes a video"),n=i(o.steps);return s.jsx("article",{className:`process-flow ${r?"process-flow--paused":""}`,children:s.jsxs("div",{className:"process-flow__content",children:[s.jsx("p",{className:"process-flow__eyebrow",children:l}),s.jsx("h2",{className:"process-flow__title",children:a}),s.jsx("div",{className:"process-flow__steps",children:n.map((t,c)=>s.jsxs("div",{className:"process-flow__step",children:[s.jsx("span",{className:"process-flow__index",children:c+1}),s.jsx("p",{className:"process-flow__label",children:t})]},`${c}-${t}`))})]})})}export{d as default}; diff --git a/dist/assets/QuoteImage-C0EQ3Yny.js b/dist/assets/QuoteImage-C0EQ3Yny.js new file mode 100644 index 0000000..8341e3c --- /dev/null +++ b/dist/assets/QuoteImage-C0EQ3Yny.js @@ -0,0 +1 @@ +import{j as e}from"./index-D2K-duz6.js";function l({props:i,paused:o}){const t=i,s=String(t.eyebrow??"Quote image"),a=String(t.quote??"Good explanation makes hard ideas feel graspable."),m=String(t.attribution??"Glitch University"),n=String(t.imageSrc??"https://images.unsplash.com/photo-1516321318423-f06f85e504b3?auto=format&fit=crop&w=1200&q=80"),r=String(t.imageAlt??a),g=t.imagePosition==="right"?"right":"left";return e.jsxs("article",{className:`quote-image ${o?"quote-image--paused":""} quote-image--image-${g}`,children:[e.jsx("div",{className:"quote-image__panel quote-image__panel--image",children:e.jsx("img",{className:"quote-image__image",src:n,alt:r})}),e.jsx("div",{className:"quote-image__panel quote-image__panel--quote",children:e.jsxs("div",{className:"quote-image__content",children:[e.jsx("p",{className:"quote-image__eyebrow",children:s}),e.jsxs("blockquote",{className:"quote-image__quote",children:['"',a,'"']}),e.jsx("p",{className:"quote-image__attribution",children:m})]})})]})}export{l as default}; diff --git a/dist/assets/SquareVideo-GgREJSQR.js b/dist/assets/SquareVideo-GgREJSQR.js new file mode 100644 index 0000000..225c229 --- /dev/null +++ b/dist/assets/SquareVideo-GgREJSQR.js @@ -0,0 +1 @@ +import{r as f,j as p}from"./index-D2K-duz6.js";function y({props:m,paused:c,onMediaLoadingChange:r}){const v=m,s=String(v.videoSrc??"").trim(),S=String(v.posterSrc??"").trim(),u=f.useRef(null);return f.useEffect(()=>{const t=u.current;if(!t)return;if(c){t.pause();return}const l=t.play();l&&typeof l.catch=="function"&&l.catch(()=>{})},[c,s]),f.useEffect(()=>{if(!s){r==null||r(!1);return}return r==null||r(!0),()=>{r==null||r(!1);const t=u.current;t&&(t.pause(),t.currentTime=0)}},[r,s]),p.jsx("article",{className:`square-video ${c?"square-video--paused":""}`,children:p.jsx("div",{className:"square-video__frame",children:p.jsx("video",{ref:u,className:"square-video__media",src:s,poster:S||void 0,autoPlay:!0,preload:"metadata",playsInline:!0,controls:!1,onLoadedData:()=>r==null?void 0:r(!1),onCanPlay:()=>r==null?void 0:r(!1),onPlaying:()=>r==null?void 0:r(!1),onLoadStart:()=>r==null?void 0:r(!0),onWaiting:()=>r==null?void 0:r(!0),onStalled:()=>r==null?void 0:r(!0),onSuspend:()=>r==null?void 0:r(!1),onEnded:()=>r==null?void 0:r(!1),onError:()=>r==null?void 0:r(!1)})})})}export{y as default}; diff --git a/dist/assets/SquareYellow-DRGJP0IQ.js b/dist/assets/SquareYellow-DRGJP0IQ.js new file mode 100644 index 0000000..a9e48de --- /dev/null +++ b/dist/assets/SquareYellow-DRGJP0IQ.js @@ -0,0 +1 @@ +import{j as a}from"./index-D2K-duz6.js";function m({props:s,paused:r}){const e=s,t=String(e.header??"Square yellow"),i=String(e.imageSrc??"https://images.unsplash.com/photo-1516321318423-f06f85e504b3?auto=format&fit=crop&w=1200&q=80"),l=String(e.imageAlt??t);return a.jsx("article",{className:`square-slide square-slide--yellow ${r?"square-slide--paused":""}`,children:a.jsx("div",{className:"square-slide__image-frame",children:a.jsx("img",{className:"square-slide__image",src:i,alt:l})})})}export{m as default}; diff --git a/dist/assets/index-D2K-duz6.js b/dist/assets/index-D2K-duz6.js new file mode 100644 index 0000000..060fae6 --- /dev/null +++ b/dist/assets/index-D2K-duz6.js @@ -0,0 +1,40 @@ +var cd=Object.defineProperty;var dd=(e,t,n)=>t in e?cd(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var _u=(e,t,n)=>dd(e,typeof t!="symbol"?t+"":t,n);(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))r(l);new MutationObserver(l=>{for(const i of 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onProgress, theme, className, host }: GlitchComponentProps): import("react/jsx-runtime").JSX.Element; diff --git a/dist/glitch/glitch_assumption_toggle/assumption-toggle.js b/dist/glitch/glitch_assumption_toggle/assumption-toggle.js new file mode 100644 index 0000000..61be7ec --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/assumption-toggle.js @@ -0,0 +1,560 @@ +(function(){"use strict";try{if(typeof document<"u"){var t=document.createElement("style");t.appendChild(document.createTextNode('.gc-assumption-toggle{--shell-bg: radial-gradient(circle at top, rgba(40, 58, 34, .35), transparent 42%), linear-gradient(180deg, #070a08, #0f160f 58%, #090b09);--screen-bg: #616161;--screen-error: #7f1d1d;--screen-glow: rgba(0, 0, 0, .5);--text-primary: var(--gc-text, #0f172a);--text-secondary: var(--gc-text-muted, #6bff5b);--accent-color: var(--gc-accent, #1c6a00);--panel-green: var(--gc-primary, #248a00);--panel-white: rgba(255, 255, 255, .92);--font-display: "Russo One", 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", cA = "glitch:play-sound", QA = "glitch:stop-sound", FA = "glitch:host:", P = { + click: "ui.button_click", + hover: "ui.button_hover", + computeStart: "machine.compute_start", + computeStep: "machine.compute_step", + computeDone: "machine.compute_done", + verdictStable: "machine.verdict_stable", + verdictAlert: "machine.verdict_alert" +}; +function J(w, C) { + typeof window > "u" || window.dispatchEvent(new CustomEvent(w, { detail: C })); +} +function o(w, C, D) { + try { + if (w != null && w.playSound) { + w.playSound(C, D); + return; + } + } catch { + } + J(cA, { id: C, payload: D }); +} +function Z(w, C, D) { + try { + if (w != null && w.stopSound) { + w.stopSound(C, D); + return; + } + } catch { + } + J(QA, { id: C, payload: D }); +} +function z(w, C, D) { + try { + if (w != null && w.emit) { + w.emit(C, D); + return; + } + } catch { + } + J(`${FA}${C}`, D); +} +const v = { + continuousUniverse: !0, + infinitePrecision: !0, + chunkParticles: !1 +}, E = { + "000": { + outcome: "Paradoxical", + intermediate: "Very very much information.", + description: "Space is supposed to be discrete, but each cell must contain ar arbitrary amount of information.", + visualClass: "paradox-point", + tone: "paradox" + }, + "001": { + outcome: "Digital Physics", + intermediate: "Instruction programs remain finite.", + description: "Stable but requires continuous rotational symmetry to be emergent", + visualClass: "stable-chunk", + tone: "stable" + }, + "010": { + outcome: "#1 Memory Paradox", + intermediate: "Move sets can scale to infinite length", + description: "Infinte memory per cell", + visualClass: "paradox-point", + tone: "paradox" + }, + "011": { + outcome: "#2 Memory Paradox", + intermediate: "Move sets can scale to infinite length", + description: "Chunky particles must grow without bound to hold infinite move set", + visualClass: "paradox-chunk", + tone: "paradox" + }, + 100: { + outcome: "Paradoxical", + intermediate: "Chunky geometry implies discrete space", + description: "A continuous universe with chunky particles spanning fundamental cells is a constadiction.", + visualClass: "non-standard-particle-point", + tone: "warning" + }, + 101: { + outcome: "Paradoxical", + intermediate: "The geometry breaks isotropy.", + description: "Continuous universe plus chunk particles that imply discrete space is a constradiction.", + visualClass: "non-standard-particle-chunk", + tone: "warning" + }, + 110: { + outcome: "Standard Physics", + intermediate: "The model remains isotropic.", + description: "Continuous space with infinite precision preserves the canonical picture.", + visualClass: "standard-particle-point", + tone: "stable" + }, + 111: { + outcome: "Contradictory", + intermediate: "Continuous universe cannot be combined with chunk particles.", + description: "Chunky cannot be not chunky", + visualClass: "standard-particle-chunk", + tone: "uncertain" + } +}, p = { + "000": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Point state exceeds single-cell information budget" }, + { label: "Verdict trace", value: "Single cell must have arbitrary information capacity" } + ], + "001": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "State remains compressible under finite instruction length" }, + { label: "Verdict trace", value: "Digital physics interpretation remains internally stable" } + ], + "010": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Each lattice cell requires unbounded memory" }, + { label: "Verdict trace", value: "Inconsistent with isotropy" } + ], + "011": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Chunk particle" }, + { label: "Consistency check", value: "Particles grow to express information" }, + { label: "Verdict trace", value: "Chunk particles grow to infinite size" } + ], + 100: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Severely demotivated" }, + { label: "Verdict trace", value: "No explanation for rejecting CRS. Smell detected." } + ], + 101: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "Space is quantized but cells infinitely small" }, + { label: "Verdict trace", value: "Non-standard hybrid geometry. Smell detected" } + ], + 110: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Canonical isotropic field picture remains intact" }, + { label: "Verdict trace", value: "Standard physics baseline recovered successfully" } + ], + 111: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "Inconsistent." }, + { label: "Verdict trace", value: "Chunk particle cannot be not chunky" } + ] +}; +function r(w, C) { + return typeof w == "boolean" ? w : C; +} +function f(w) { + return { + continuousUniverse: r(w == null ? void 0 : w.continuousUniverse, v.continuousUniverse), + infinitePrecision: r(w == null ? void 0 : w.infinitePrecision, v.infinitePrecision), + chunkParticles: r(w == null ? void 0 : w.chunkParticles, v.chunkParticles) + }; +} +function t(w) { + return [ + w.continuousUniverse ? "1" : "0", + w.infinitePrecision ? "1" : "0", + w.chunkParticles ? "1" : "0" + ].join(""); +} +function R(w) { + const C = w.continuousUniverse ? "Continuous universe" : "Discrete universe", D = w.infinitePrecision ? "Infinite precision" : "Finite precision", s = w.chunkParticles ? 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[]; + let Y = !1; + V([]), K(""); + const Q = (e, y) => { + if (Y) + return; + if (e >= g.length) { + L(() => { + if (Y) + return; + const F = E[H]; + o(i.current, P.computeDone, { state: H }), I("result", () => { + var m; + (m = W.current) == null || m.call(W, 100), o( + i.current, + F.tone === "stable" ? 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"paradox-errors" : ""}`, children: /* @__PURE__ */ B("div", { className: `slides-wrapper ${T}`, children: [ + x === "splash" && /* @__PURE__ */ A("div", { className: "slide slide-splash", children: /* @__PURE__ */ B("div", { className: "splash-content", children: [ + /* @__PURE__ */ A("h1", { children: "Foundational Assumption Recombinator Tool" }), + /* @__PURE__ */ A("h2", { children: "v1.0" }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button", + onClick: gA, + onMouseEnter: () => M("initialize"), + onFocus: () => M("initialize"), + children: "Initialize" + } + ) + ] }) }), + x === "controls" && /* @__PURE__ */ B("div", { className: "slide slide-controls", children: [ + /* @__PURE__ */ A("div", { className: "widget-header", children: /* @__PURE__ */ A("h1", { children: "Settings" }) }), + /* @__PURE__ */ B("div", { className: "switch-group", children: [ + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-universe`, + className: "switch-input", + type: "checkbox", + checked: G.continuousUniverse, + onChange: (g) => l("continuousUniverse", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-universe`, + onMouseEnter: () => M("toggle-universe"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Discrete Universe" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Continuous Universe" }) + ] + } + ) + ] }), + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-precision`, + className: "switch-input", + type: "checkbox", + checked: G.infinitePrecision, + onChange: (g) => l("infinitePrecision", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-precision`, + onMouseEnter: () => M("toggle-precision"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Finite Precision" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Infinite Precision" }) + ] + } + ) + ] }), + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-particles`, + className: "switch-input", + type: "checkbox", + checked: G.chunkParticles, + onChange: (g) => l("chunkParticles", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-particles`, + onMouseEnter: () => M("toggle-particles"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Point Particles" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Chunk Particles" }) + ] + } + ) + ] }) + ] }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button", + onClick: BA, + onMouseEnter: () => M("simulate"), + onFocus: () => M("simulate"), + children: "Simulate" + } + ) + ] }), + x === "result" && /* @__PURE__ */ B("div", { className: "slide slide-result", children: [ + /* @__PURE__ */ B("div", { className: "bottom-container", children: [ + /* @__PURE__ */ A("div", { className: "visualization-container", children: /* @__PURE__ */ A("div", { className: `art-canvas ${j.visualClass}`, children: /* @__PURE__ */ A(MA, { visualClass: j.visualClass }) }) }), + /* @__PURE__ */ B("div", { className: "result-container", children: [ + /* @__PURE__ */ A("div", { className: "summary-box", children: /* @__PURE__ */ A("span", { className: `result-value result-${j.tone}`, children: j.outcome }) }), + /* @__PURE__ */ A("div", { className: "summary-box", children: /* @__PURE__ */ A("div", { className: "intermediate-result", children: j.intermediate }) }), + /* @__PURE__ */ A("span", { className: "result-description", children: j.description }) + ] }) + ] }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button secondary", + onClick: sA, + onMouseEnter: () => M("back"), + onFocus: () => M("back"), + children: "Back" + } + ) + ] }), + x === "processing" && /* @__PURE__ */ A("div", { className: "slide slide-processing", children: /* @__PURE__ */ B("div", { className: "processing-shell", children: [ + /* @__PURE__ */ B("div", { className: "processing-header", children: [ + /* @__PURE__ */ A("span", { className: "processing-led" }), + /* @__PURE__ */ A("h2", { children: "Computing Assumption Matrix" }) + ] }), + /* @__PURE__ */ A("div", { className: "processing-subtitle", children: "Applying Constructor Theoretic Constraints" }), + /* @__PURE__ */ B("div", { className: "processing-terminal", children: [ + wA.map((g, Y) => /* @__PURE__ */ B("div", { className: "processing-line", children: [ + /* @__PURE__ */ A("span", { className: "processing-prompt", children: ">" }), + /* @__PURE__ */ A("span", { children: g }) + ] }, `${g}-${Y}`)), + /* @__PURE__ */ B("div", { className: "processing-line processing-line-active", children: [ + /* @__PURE__ */ A("span", { className: "processing-prompt", children: ">" }), + /* @__PURE__ */ A("span", { children: DA }), + /* @__PURE__ */ A("span", { className: "processing-cursor" }) + ] }) + ] }) + ] }) }) + ] }) }) }) }) }); +} +const jA = { + name: "assumption-toggle", + displayName: "Assumption Toggle", + version: "1.0.0", + paramSchema: { + continuousUniverse: { + type: "boolean", + label: "Continuous Universe", + description: "Toggle between a discrete and continuous universe model.", + default: !0 + }, + infinitePrecision: { + type: "boolean", + label: "Infinite Precision", + description: "Toggle between finite and infinite precision.", + default: !0 + }, + chunkParticles: { + type: "boolean", + label: "Chunk Particles", + description: "Toggle between point particles and chunk particles.", + default: !1 + } + }, + defaultParams: { + continuousUniverse: !0, + infinitePrecision: !0, + chunkParticles: !1 + } +}; +export { + xA as default, + jA as metadata +}; +//# sourceMappingURL=assumption-toggle.js.map diff --git a/dist/glitch/glitch_assumption_toggle/assumption-toggle.js.map b/dist/glitch/glitch_assumption_toggle/assumption-toggle.js.map new file mode 100644 index 0000000..d52bfd3 --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/assumption-toggle.js.map @@ -0,0 +1 @@ +{"version":3,"file":"assumption-toggle.js","sources":["../technoborder.png","../src/hostBridge.ts","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["export default 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\"","import type { GlitchHostBridge } from './types';\n\nexport const HOST_SOUND_EVENT = 'glitch:play-sound';\nexport const HOST_STOP_SOUND_EVENT = 'glitch:stop-sound';\nexport const HOST_EMIT_PREFIX = 'glitch:host:';\n\nexport const SOUND_IDS = {\n click: 'ui.button_click',\n hover: 'ui.button_hover',\n computeStart: 'machine.compute_start',\n computeStep: 'machine.compute_step',\n computeDone: 'machine.compute_done',\n verdictStable: 'machine.verdict_stable',\n verdictAlert: 'machine.verdict_alert'\n} as const;\n\nexport type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS];\n\nfunction dispatchWindowEvent(type: string, detail: T) {\n if (typeof window === 'undefined') return;\n window.dispatchEvent(new CustomEvent(type, { detail }));\n}\n\nexport function safePlaySound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.playSound) {\n host.playSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_SOUND_EVENT, { id, payload });\n}\n\nexport function safeStopSound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.stopSound) {\n host.stopSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_STOP_SOUND_EVENT, { id, payload });\n}\n\nexport function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown) {\n try {\n if (host?.emit) {\n host.emit(type, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(`${HOST_EMIT_PREFIX}${type}`, payload);\n}\n","import { useEffect, useRef, useState, type CSSProperties } from 'react';\nimport frameImage from '../technoborder.png';\nimport { SOUND_IDS, safeEmit, safePlaySound, safeStopSound } from './hostBridge';\nimport type { GlitchComponentProps } from './types';\n\ntype Screen = 'splash' | 'controls' | 'processing' | 'result';\ntype ProcessingLine = {\n label: string;\n value: string;\n};\ntype TransitionState = '' | 'crt-collapse' | 'crt-expand';\ntype VisualClass =\n | 'paradox-point'\n | 'stable-chunk'\n | 'paradox-chunk'\n | 'non-standard-particle-point'\n | 'non-standard-particle-chunk'\n | 'standard-particle-point'\n | 'standard-particle-chunk';\ntype OutcomeTone = 'stable' | 'warning' | 'paradox' | 'uncertain';\n\ntype ToggleState = {\n continuousUniverse: boolean;\n infinitePrecision: boolean;\n chunkParticles: boolean;\n};\n\ntype OutcomeDefinition = {\n outcome: string;\n description: string;\n intermediate: string;\n visualClass: VisualClass;\n tone: OutcomeTone;\n};\n\nconst DEFAULT_STATE: ToggleState = {\n continuousUniverse: true,\n infinitePrecision: true,\n chunkParticles: false\n};\n\nconst OUTCOMES: Record = {\n '000': {\n outcome: 'Paradoxical',\n intermediate: 'Very very much information.',\n description: 'Space is supposed to be discrete, but each cell must contain ar arbitrary amount of information.',\n visualClass: 'paradox-point',\n tone: 'paradox'\n },\n '001': {\n outcome: 'Digital Physics',\n intermediate: 'Instruction programs remain finite.',\n description: 'Stable but requires continuous rotational symmetry to be emergent',\n visualClass: 'stable-chunk',\n tone: 'stable'\n },\n '010': {\n outcome: '#1 Memory Paradox',\n intermediate: 'Move sets can scale to infinite length',\n description: 'Infinte memory per cell',\n visualClass: 'paradox-point',\n tone: 'paradox'\n },\n '011': {\n outcome: '#2 Memory Paradox',\n intermediate: 'Move sets can scale to infinite length',\n description: 'Chunky particles must grow without bound to hold infinite move set',\n visualClass: 'paradox-chunk',\n tone: 'paradox'\n },\n '100': {\n outcome: 'Paradoxical',\n intermediate: 'Chunky geometry implies discrete space',\n description: 'A continuous universe with chunky particles spanning fundamental cells is a constadiction.',\n visualClass: 'non-standard-particle-point',\n tone: 'warning'\n },\n '101': {\n outcome: 'Paradoxical',\n intermediate: 'The geometry breaks isotropy.',\n description: 'Continuous universe plus chunk particles that imply discrete space is a constradiction.',\n visualClass: 'non-standard-particle-chunk',\n tone: 'warning'\n },\n '110': {\n outcome: 'Standard Physics',\n intermediate: 'The model remains isotropic.',\n description: 'Continuous space with infinite precision preserves the canonical picture.',\n visualClass: 'standard-particle-point',\n tone: 'stable'\n },\n '111': {\n outcome: 'Contradictory',\n intermediate: 'Continuous universe cannot be combined with chunk particles.',\n description: 'Chunky cannot be not chunky',\n visualClass: 'standard-particle-chunk',\n tone: 'uncertain'\n }\n};\n\nconst PROCESSING_LOGS: Record = {\n \"000\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Point state exceeds single-cell information budget\" },\n { label: \"Verdict trace\", value: \"Single cell must have arbitrary information capacity\" }\n ],\n \"001\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"State remains compressible under finite instruction length\" },\n { label: \"Verdict trace\", value: \"Digital physics interpretation remains internally stable\" }\n ],\n \"010\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Each lattice cell requires unbounded memory\" },\n { label: \"Verdict trace\", value: \"Inconsistent with isotropy\" }\n ],\n \"011\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Chunk particle\" },\n { label: \"Consistency check\", value: \"Particles grow to express information\" },\n { label: \"Verdict trace\", value: \"Chunk particles grow to infinite size\" }\n ],\n \"100\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Severely demotivated\" },\n { label: \"Verdict trace\", value: \"No explanation for rejecting CRS. Smell detected.\" }\n ],\n \"101\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"Space is quantized but cells infinitely small\" },\n { label: \"Verdict trace\", value: \"Non-standard hybrid geometry. Smell detected\" }\n ],\n \"110\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Canonical isotropic field picture remains intact\" },\n { label: \"Verdict trace\", value: \"Standard physics baseline recovered successfully\" }\n ],\n \"111\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"Inconsistent.\" },\n { label: \"Verdict trace\", value: \"Chunk particle cannot be not chunky\" }\n ]\n};\n\nfunction coerceBoolean(value: unknown, fallback: boolean) {\n if (typeof value === 'boolean') return value;\n return fallback;\n}\n\nfunction readToggleState(params: Record | undefined): ToggleState {\n return {\n continuousUniverse: coerceBoolean(params?.continuousUniverse, DEFAULT_STATE.continuousUniverse),\n infinitePrecision: coerceBoolean(params?.infinitePrecision, DEFAULT_STATE.infinitePrecision),\n chunkParticles: coerceBoolean(params?.chunkParticles, DEFAULT_STATE.chunkParticles)\n };\n}\n\nfunction buildStateKey(state: ToggleState) {\n return [\n state.continuousUniverse ? '1' : '0',\n state.infinitePrecision ? '1' : '0',\n state.chunkParticles ? '1' : '0'\n ].join('');\n}\n\nfunction buildAssumptionsText(state: ToggleState) {\n const universe = state.continuousUniverse ? 'Continuous universe' : 'Discrete universe';\n const precision = state.infinitePrecision ? 'Infinite precision' : 'Finite precision';\n const particles = state.chunkParticles ? 'Chunk particles' : 'Point particles';\n return `${universe} + ${precision} + ${particles}`;\n}\n\nfunction getScore(outcome: OutcomeDefinition) {\n if (outcome.tone === 'stable') return 100;\n if (outcome.tone === 'uncertain') return 60;\n if (outcome.tone === 'warning') return 40;\n return 20;\n}\n\nfunction Visualization({ visualClass }: { visualClass: VisualClass }) {\n if (visualClass === 'paradox-point') {\n return (\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n ∞\n
\n
\n );\n }\n\n if (visualClass === 'stable-chunk') {\n return (\n
\n
\n {Array.from({ length: 9 }, (_, index) => (\n \n ))}\n
\n
\n \n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'paradox-chunk') {\n return (\n
\n
\n
\n
\n
\n
\n
\n
\n
\n {Array.from({ length: 10 }, (_, index) => (\n
\n
\n
\n
\n
\n
\n
\n
\n ))}\n
\n );\n }\n\n if (visualClass === 'non-standard-particle-point') {\n return (\n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'non-standard-particle-chunk') {\n return (\n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'standard-particle-point') {\n return (\n
\n
\n
\n
\n
\n
\n
\n \n \n \n
\n );\n }\n\n return (\n
\n
\n
\n
\n
\n
\n
\n \n \n \n
\n ?\n
\n
\n );\n}\n\nexport default function AssumptionToggle({\n config,\n onComplete,\n onProgress,\n theme,\n className,\n host\n}: GlitchComponentProps) {\n const [toggleState, setToggleState] = useState(() => readToggleState(config.params));\n const [screen, setScreen] = useState('splash');\n const [transitionState, setTransitionState] = useState('');\n const [result, setResult] = useState(() => OUTCOMES[buildStateKey(readToggleState(config.params))]);\n const [processingKey, setProcessingKey] = useState(() => buildStateKey(readToggleState(config.params)));\n const [processingAssumptions, setProcessingAssumptions] = useState(() =>\n buildAssumptionsText(readToggleState(config.params))\n );\n const [completedLines, setCompletedLines] = useState([]);\n const [activeLine, setActiveLine] = useState('');\n const timeoutsRef = useRef([]);\n const hostRef = useRef(host);\n const onCompleteRef = useRef(onComplete);\n const onProgressRef = useRef(onProgress);\n\n useEffect(() => {\n setToggleState(readToggleState(config.params));\n }, [config.params]);\n\n useEffect(() => {\n hostRef.current = host;\n onCompleteRef.current = onComplete;\n onProgressRef.current = onProgress;\n }, [host, onComplete, onProgress]);\n\n useEffect(() => {\n if (screen !== 'processing') return;\n\n const lines = PROCESSING_LOGS[processingKey] ?? [];\n let cancelled = false;\n\n setCompletedLines([]);\n setActiveLine('');\n\n const typeLine = (lineIndex: number, charIndex: number) => {\n if (cancelled) return;\n\n if (lineIndex >= lines.length) {\n queueTimeout(() => {\n if (cancelled) return;\n const finalResult = OUTCOMES[processingKey];\n safePlaySound(hostRef.current, SOUND_IDS.computeDone, { state: processingKey });\n runTransition('result', () => {\n onProgressRef.current?.(100);\n safePlaySound(\n hostRef.current,\n finalResult.tone === 'stable' ? SOUND_IDS.verdictStable : SOUND_IDS.verdictAlert,\n { state: processingKey, outcome: finalResult.outcome }\n );\n safeEmit(hostRef.current, 'verdict-ready', {\n state: processingKey,\n outcome: finalResult.outcome,\n tone: finalResult.tone\n });\n onCompleteRef.current({\n success: true,\n score: getScore(finalResult),\n data: {\n assumptions: processingAssumptions,\n state: processingKey,\n outcome: finalResult.outcome,\n intermediate: finalResult.intermediate,\n description: finalResult.description,\n processingTrace: PROCESSING_LOGS[processingKey].map((entry) => `${entry.label}: ${entry.value}`)\n }\n });\n });\n }, 520);\n return;\n }\n\n const fullLine = `${lines[lineIndex].label}: ${lines[lineIndex].value}`;\n\n if (charIndex <= fullLine.length) {\n if (charIndex === 0) {\n safePlaySound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey, lineIndex });\n }\n setActiveLine(fullLine.slice(0, charIndex));\n queueTimeout(() => typeLine(lineIndex, charIndex + 1), 24);\n return;\n }\n\n setCompletedLines((current) => [...current, fullLine]);\n setActiveLine('');\n if (lineIndex === lines.length - 1) {\n safeStopSound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey, lineIndex });\n }\n queueTimeout(() => typeLine(lineIndex + 1, 0), 170);\n };\n\n queueTimeout(() => typeLine(0, 0), 180);\n\n return () => {\n cancelled = true;\n safeStopSound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey });\n };\n }, [processingAssumptions, processingKey, screen]);\n\n useEffect(() => {\n return () => {\n clearQueuedTimeouts();\n };\n }, []);\n\n function clearQueuedTimeouts() {\n for (const timeout of timeoutsRef.current) {\n window.clearTimeout(timeout);\n }\n timeoutsRef.current = [];\n }\n\n function queueTimeout(callback: () => void, delay: number) {\n const timeout = window.setTimeout(callback, delay);\n timeoutsRef.current.push(timeout);\n }\n\n function runTransition(nextScreen: Screen, onSwapped?: () => void) {\n clearQueuedTimeouts();\n setTransitionState('crt-collapse');\n queueTimeout(() => {\n setScreen(nextScreen);\n onSwapped?.();\n setTransitionState('crt-expand');\n queueTimeout(() => {\n setTransitionState('');\n }, 110);\n }, 110);\n }\n\n function setToggle(key: K, value: ToggleState[K]) {\n setToggleState(current => ({ ...current, [key]: value }));\n safePlaySound(host, SOUND_IDS.click, { control: key, value });\n }\n\n function handleUiHover(target: string) {\n safePlaySound(host, SOUND_IDS.hover, { target });\n }\n\n function handleInitialize() {\n safeEmit(host, 'session-started', { component: config.name, id: config.id });\n onProgress?.(10);\n runTransition('controls');\n }\n\n function handleSimulate() {\n const nextKey = buildStateKey(toggleState);\n const nextResult = OUTCOMES[nextKey];\n const nextAssumptions = buildAssumptionsText(toggleState);\n setProcessingKey(nextKey);\n setProcessingAssumptions(nextAssumptions);\n setResult(nextResult);\n safePlaySound(host, SOUND_IDS.computeStart, { state: nextKey });\n safeEmit(host, 'processing-started', {\n state: nextKey,\n assumptions: nextAssumptions\n });\n onProgress?.(45);\n runTransition('processing', () => {\n onProgress?.(70);\n });\n }\n\n function handleBack() {\n clearQueuedTimeouts();\n safeStopSound(host, SOUND_IDS.computeStep, { state: processingKey });\n safeEmit(host, 'returned-to-controls', { state: processingKey });\n onProgress?.(20);\n runTransition('controls');\n }\n\n const assumptionsText = buildAssumptionsText(toggleState);\n const showParadoxScreen = screen === 'result' && result.visualClass.includes('paradox');\n const rootStyle = {\n '--gc-primary': theme?.primary || '#248a00',\n '--gc-accent': theme?.accent || '#1c6a00',\n '--gc-bg': theme?.bg || '#ffffff',\n '--gc-bg-secondary': theme?.bgSecondary || '#616161',\n '--gc-text': theme?.text || '#0f172a',\n '--gc-text-muted': theme?.textMuted || '#eaffd8',\n '--gc-border': theme?.border || 'rgba(255,255,255,0.12)',\n '--assumption-frame-image': `url(${frameImage})`\n } as CSSProperties;\n\n return (\n
\n
\n
\n
\n
\n {screen === 'splash' && (\n
\n
\n

Foundational Assumption Recombinator Tool

\n

v1.0

\n handleUiHover('initialize')}\n onFocus={() => handleUiHover('initialize')}\n >\n Initialize\n \n
\n
\n )}\n\n {screen === 'controls' && (\n
\n
\n

Settings

\n
\n\n
\n
\n setToggle('continuousUniverse', event.target.checked)}\n />\n handleUiHover('toggle-universe')}\n >\n Discrete Universe\n Continuous Universe\n \n
\n\n
\n setToggle('infinitePrecision', event.target.checked)}\n />\n handleUiHover('toggle-precision')}\n >\n Finite Precision\n Infinite Precision\n \n
\n\n
\n setToggle('chunkParticles', event.target.checked)}\n />\n handleUiHover('toggle-particles')}\n >\n Point Particles\n Chunk Particles\n \n
\n
\n\n handleUiHover('simulate')}\n onFocus={() => handleUiHover('simulate')}\n >\n Simulate\n \n
\n )}\n\n {screen === 'result' && (\n
\n
\n
\n
\n \n
\n
\n\n
\n \n
\n {result.outcome}\n
\n\n
\n \n
{result.intermediate}
\n
\n {result.description}\n
\n\n \n
\n\n handleUiHover('back')}\n onFocus={() => handleUiHover('back')}\n >\n Back\n \n
\n )}\n\n {screen === 'processing' && (\n
\n
\n
\n \n

Computing Assumption Matrix

\n
\n
Applying Constructor Theoretic Constraints
\n
\n {completedLines.map((line, index) => (\n
\n >\n {line}\n
\n ))}\n
\n >\n {activeLine}\n \n
\n
\n
\n
\n )}\n
\n
\n
\n
\n
\n );\n}\n","import './styles.css';\nimport Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'assumption-toggle',\n displayName: 'Assumption Toggle',\n version: '1.0.0',\n paramSchema: {\n continuousUniverse: {\n type: 'boolean',\n label: 'Continuous Universe',\n description: 'Toggle between a discrete and continuous universe model.',\n default: true\n },\n infinitePrecision: {\n type: 'boolean',\n label: 'Infinite Precision',\n description: 'Toggle between finite and infinite precision.',\n default: true\n },\n chunkParticles: {\n type: 'boolean',\n label: 'Chunk Particles',\n description: 'Toggle between point particles and chunk particles.',\n default: false\n }\n },\n defaultParams: {\n continuousUniverse: true,\n infinitePrecision: true,\n chunkParticles: false\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n 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\ No newline at end of file diff --git a/dist/glitch/glitch_assumption_toggle/dev.d.ts b/dist/glitch/glitch_assumption_toggle/dev.d.ts new file mode 100644 index 0000000..2c068e0 --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/dev.d.ts @@ -0,0 +1 @@ +import './dev-theme.css'; diff --git a/dist/glitch/glitch_assumption_toggle/devHostBridge.d.ts b/dist/glitch/glitch_assumption_toggle/devHostBridge.d.ts new file mode 100644 index 0000000..3fba17e --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/devHostBridge.d.ts @@ -0,0 +1,8 @@ +import type { GlitchHostBridge } from './types'; +export type DevHostBridgeOptions = { + isMuted?: () => boolean; + onSound?: (id: string, payload?: Record) => void; + onEmit?: (type: string, payload?: unknown) => void; +}; +export declare function createDevHostBridge(options?: DevHostBridgeOptions): GlitchHostBridge; +export declare function attachWindowSoundBridge(host: GlitchHostBridge): () => void; diff --git a/dist/glitch/glitch_assumption_toggle/glitch.manifest.json b/dist/glitch/glitch_assumption_toggle/glitch.manifest.json new file mode 100644 index 0000000..15df320 --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "assumption-toggle", + "displayName": "Assumption Toggle", + "version": "1.0.0", + "folderName": "glitch_assumption_toggle", + "packageName": "@nommo/assumption-toggle", + "entry": "dist/assumption-toggle.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "crt", + "logic" + ] +} diff --git a/dist/glitch/glitch_assumption_toggle/hostBridge.d.ts b/dist/glitch/glitch_assumption_toggle/hostBridge.d.ts new file mode 100644 index 0000000..fa85f46 --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/hostBridge.d.ts @@ -0,0 +1,17 @@ +import type { GlitchHostBridge } from './types'; +export declare const HOST_SOUND_EVENT = "glitch:play-sound"; +export declare const HOST_STOP_SOUND_EVENT = "glitch:stop-sound"; +export declare const HOST_EMIT_PREFIX = "glitch:host:"; +export declare const SOUND_IDS: { + readonly click: "ui.button_click"; + readonly hover: "ui.button_hover"; + readonly computeStart: "machine.compute_start"; + readonly computeStep: "machine.compute_step"; + readonly computeDone: "machine.compute_done"; + readonly verdictStable: "machine.verdict_stable"; + readonly verdictAlert: "machine.verdict_alert"; +}; +export type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS]; +export declare function safePlaySound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeStopSound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown): void; diff --git a/dist/glitch/glitch_assumption_toggle/index.d.ts b/dist/glitch/glitch_assumption_toggle/index.d.ts new file mode 100644 index 0000000..40a25ac --- /dev/null +++ b/dist/glitch/glitch_assumption_toggle/index.d.ts @@ -0,0 +1,6 @@ +import './styles.css'; +import Component from './Component'; +import type { GlitchComponentMetadata } from './types'; +export default Component; +export declare const metadata: GlitchComponentMetadata; +export type { GlitchComponentProps, GlitchComponentConfig, GlitchComponentResult } from './types'; diff --git a/dist/glitch/glitch_assumption_toggle/sounds/.DS_Store b/dist/glitch/glitch_assumption_toggle/sounds/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0qxn%n!URkn6(-IdLXz?4p9YLOEGEzN0F2CFOz}@* z7fY^MAXdV-@MOS0o%BAr=o?cYgC-FmsfDb5b#q?epY*>$BQz;NDE9{ALYI%+m{mn0 z^w@}Gp!up@L?w+Z6MYGo9LggCblLo`F%VD~UHIpiXqFXJX!UQn04pCzr34YYByuy_ 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string; + params: Record; +} +export interface GlitchHostBridge { + playSound?: (id: string, payload?: Record) => void; + stopSound?: (id: string, payload?: Record) => void; + emit?: (type: string, payload?: unknown) => void; +} +export interface GlitchComponentProps { + config: GlitchComponentConfig; + onComplete: (result: GlitchComponentResult) => void; + onProgress?: (percent: number) => void; + theme?: GlitchTheme; + className?: string; + host?: GlitchHostBridge; +} +export interface GlitchComponentResult { + success: boolean; + score?: number; + data?: unknown; + error?: string; +} +export interface GlitchTheme { + primary: string; + accent: string; + bg: string; + bgSecondary: string; + text: string; + textMuted: string; + border: string; +} +export interface GlitchComponentMetadata { + name: string; + displayName: string; + version: string; + paramSchema: ParamSchema; + defaultParams: Record; +} +export interface ParamSchema { + [key: string]: { + type: 'number' | 'string' | 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"};function $0({type:v}){if(v==="count-wavelength-time")return f.jsx("div",{className:"ccd-mini-diagram ccd-mini-diagram-grid","aria-hidden":"true",children:Array.from({length:12},(b,o)=>f.jsx("span",{className:"ccd-mini-diagram-grid-cell",style:{opacity:.28+o%4*.14}},o))});const z=v==="count-time"?[.28,.58,.38,.76,.46,.66]:v==="energy-time"?[.22,.5,.42,.88,.56,.72]:[.2,.32,.48,.84,.6,.3];return f.jsx("div",{className:"ccd-mini-diagram","aria-hidden":"true",children:z.map((b,o)=>f.jsx("span",{className:`ccd-mini-diagram-bar${v!=="count-time"?" is-energy":""}`,style:{height:`${b*100}%`}},o))})}function F0({page:v,onSelect:z,showGuide:b,onToggleGuide:o}){const A=v==="receptor",_=v==="photon",C=v==="eventlist";return f.jsxs("section",{className:"ccd-selector","aria-label":"Visualization selector",children:[f.jsxs("div",{className:"ccd-selector-root",children:[f.jsx("span",{className:"ccd-stat-label",children:"These plots are different ways of binning the same event list."}),f.jsx("p",{children:"Everything begins with the CCD receiving photons. 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The energy of all the photons in each frequency bin integrated over some period (here last 12 secs) gives us the shape of the spectrum during that time."},uv={stepLabel:"Step 6",title:"Spectral power",body:"Spectral power reveals the energy distribution, and it´s very important for many applications. It can tell us a lot about how stars work"};function cv({spectrogramBins:v}){const z=Math.max(...v.flat(),1);return f.jsx("div",{className:"ccd-page",children:f.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[f.jsxs("div",{className:"ccd-chart-head",children:[f.jsx("span",{className:"ccd-stat-label",children:"Clicks per 1.0 s time bin"}),f.jsxs("strong",{children:[Ke," time bins x ",$l.length," frequency bins"]})]}),f.jsxs("div",{className:"ccd-spectrogram-shell",children:[f.jsx("div",{className:"ccd-spectrogram-axis",children:$l.map(b=>f.jsx("span",{children:b.label},b.label))}),f.jsx("div",{className:"ccd-spectrogram","aria-label":"Spectrogram heat map",children:$l.map((b,o)=>f.jsx("div",{className:"ccd-spectrogram-row",children:v[o].map((A,_)=>f.jsx("span",{className:"ccd-spectrogram-cell",style:{background:je(o,A/z),boxShadow:A>0?`0 0 0.8rem ${je(o,A/z)}`:"none"}},`${b.label}-${_}`))},b.label))})]}),f.jsxs("div",{className:"ccd-spectrogram-footer",children:[f.jsx("span",{children:"Earlier"}),f.jsx("span",{children:"Now"})]})]})})}const iv={eyebrow:"Frequency X Time",title:"Periodo-spectro-gram!",description:"You can play around with the same data and make many charts! 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Maybe not for a lot of applications, but it looks pretty!"};function sv({fluxBins:v}){const z=v.some(il=>il>0)?v:[1.2,1.8,1.4,2.1,1.7,1.5,2.3,1.6,1.9,1.4,2,1.7],b=z.map((il,El)=>{const V=z.slice(0,El+1);return V.reduce((Rl,Tl)=>Rl+Tl,0)/V.length}),o=z[z.length-1]??0,A=z.reduce((il,El)=>il+El,0)/z.length,_=z.reduce((il,El)=>il+(El-A)**2,0)/z.length,C=Math.sqrt(_),L=Math.min(...z),O=Math.max(...z),E=Math.min(...b),G=Math.max(...b),H={min:Math.min(L,E),max:Math.max(O,G)},J=Sf(z,760,240,H),_l=M0(z,760,240,H),xl=Sf(b,760,240,H);return f.jsx("div",{className:"ccd-page",children:f.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[f.jsxs("div",{className:"ccd-chart-head",children:[f.jsx("span",{className:"ccd-stat-label",children:"Total energy per 1.0 s bin"}),f.jsxs("strong",{children:[o.toFixed(2)," energy units in latest bin"]})]}),f.jsxs("div",{className:"ccd-flux-chart-shell",children:[f.jsxs("svg",{className:"ccd-flux-chart",viewBox:"0 0 760 240","aria-label":"Total flux variability chart",preserveAspectRatio:"none",children:[f.jsxs("defs",{children:[f.jsxs("linearGradient",{id:"fluxArea",x1:"0",x2:"0",y1:"0",y2:"1",children:[f.jsx("stop",{offset:"0%",stopColor:"rgba(255, 113, 74, 0.40)"}),f.jsx("stop",{offset:"100%",stopColor:"rgba(125, 100, 255, 0.03)"})]}),f.jsxs("linearGradient",{id:"fluxLine",x1:"0",x2:"1",y1:"0",y2:"0",children:[f.jsx("stop",{offset:"0%",stopColor:"#ff8d66"}),f.jsx("stop",{offset:"55%",stopColor:"#ffd35d"}),f.jsx("stop",{offset:"100%",stopColor:"#8f7dff"})]})]}),z.map((il,El)=>{const V=760/z.length;return f.jsx("rect",{className:El%2===0?"ccd-flux-bin":"ccd-flux-bin ccd-flux-bin-alt",x:El*V,y:0,width:V,height:240},El)}),f.jsx("path",{className:"ccd-flux-area",d:_l,fill:"url(#fluxArea)"}),f.jsx("path",{className:"ccd-flux-line",d:J,stroke:"url(#fluxLine)"}),f.jsx("path",{className:"ccd-flux-mean-line",d:xl})]}),f.jsxs("div",{className:"ccd-flux-legend",children:[f.jsxs("span",{className:"ccd-flux-legend-item",children:[f.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-raw"}),f.jsx("span",{children:"Raw flux"})]}),f.jsxs("span",{className:"ccd-flux-legend-item",children:[f.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-mean"}),f.jsx("span",{children:"Running mean"})]})]}),f.jsxs("div",{className:"ccd-flux-axis",children:[f.jsx("span",{children:"Earlier"}),f.jsx("span",{children:"Now"})]})]}),f.jsxs("div",{className:"ccd-flux-metrics",children:[f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Mean flux"}),f.jsx("strong",{children:A.toFixed(4)})]}),f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Sigma"}),f.jsx("strong",{children:C.toFixed(4)})]}),f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Range"}),f.jsxs("strong",{children:[L.toFixed(4)," to ",O.toFixed(4)]})]})]})]})})}const ov={eyebrow:"Flux Variability",title:"Total flux periodogram",description:"If we focus on the energy instead of the count, we get the flux - energy per second. 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o), ft = (r, o) => { + const d = Math.abs(o.x - r.x), p = Math.abs(o.y - r.y); + if (d === 0 && p === 0) return 0; + if (d === 0 || p === 0) return d + p; + const _ = ce(d, p); + return d / _ + p / _; +}, wt = (r) => new Promise((o) => { + window.setTimeout(o, r); +}), he = (r) => r === "Enter" || r === "NumpadEnter" || r === " " || r === "Space" || r === "Spacebar", bt = (r) => `${(r.x + 0.5) * G},${(r.y + 0.5) * G}`, z = (r) => Z(r, 0, ge.length - 1), ye = (r) => ge[z(r)], ae = (r) => { + const o = ye(r); + return o.dx + o.dy; +}, se = (r) => { + const o = ye(r), d = []; + for (let _ = 1; _ < C; _ += 1) { + const u = { + x: h.x + o.dx * _, + y: h.y - o.dy * _ + }; + if (!_e(u)) break; + Math.abs(u.x - h.x) + Math.abs(u.y - h.y) > ht && d.push(u); + } + if (d.length === 0) + return { + x: h.x + o.dx, + y: h.y - o.dy + }; + const p = Math.floor(Math.random() * d.length); + return d[p]; +}; +function Nt({ + config: r, + onComplete: o, + onProgress: d, + theme: p, + className: _ +}) { + const u = ne(() => { + const n = r.params.goalCaptures; + return typeof n != "number" ? mt : Z(Math.round(n), 1, 10); + }, [r.params.goalCaptures]), [v, le] = g(0), [N, W] = g(h), [$, ie] = g(() => se(0)), [y, q] = g([]), [B, U] = g([h]), [f, k] = g("idle"), [fe, O] = g(-1), [w, de] = g(0), [pe, L] = g(""), [R, F] = g("yes"), [I, Y] = g("continue"), [b, we] = g(!1), S = me(0), V = me(!1), i = f === "running", m = f === "gameOverPrompt" || f === "successPrompt" || f === "finished", J = ae(v), be = ne(() => p ? { + "--gc-primary": p.primary, + "--gc-accent": p.accent, + "--gc-bg": p.bg, + "--gc-bg-secondary": p.bgSecondary, + "--gc-text": p.text, + "--gc-text-muted": p.textMuted, + "--gc-border": p.border + } : {}, [p]); + oe(() => { + const n = w / u; + d == null || d(Math.round(Z(n * 100, 0, 100))); + }, [w, u, d]); + const j = x((n, t, s = "") => { + S.current += 1, k("idle"), le(z(n)), W(h), ie(se(n)), U([h]), O(-1), de(t), F("yes"), Y("continue"), L(s); + }, []), Q = x(() => { + j(v, 0, `Looking for a ${J}-step move set.`); + }, [v, J, j]), X = x((n = 0) => { + const t = z(v + 1), s = ae(t); + j(t, n, `Looking for a ${s}-step move set.`); + }, [v, j]), ee = x(() => { + V.current || (V.current = !0, S.current += 1, k("finished"), o({ + success: !1, + error: "Player chose no after game over.", + data: { + captures: w, + goalCaptures: u, + configId: r.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + hasEverSucceeded: b + } + })); + }, [w, r.id, u, b, o]), D = x(() => { + V.current || (V.current = !0, S.current += 1, k("finished"), o({ + success: !0, + score: 100, + data: { + captures: w, + goalCaptures: u, + configId: r.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + hasEverSucceeded: b + } + })); + }, [w, r.id, u, b, o]), M = x((n) => { + q((t) => i || m || t.length >= ut ? t : [...t, n]); + }, [m, i]), xe = x(() => { + i || m || q((n) => n.slice(0, -1)); + }, [m, i]), Ce = x(() => { + i || m || q([]); + }, [m, i]), Ne = x(() => { + S.current += 1, k("idle"), O(-1), L("Program stopped."); + }, []), Se = x(async () => { + if (i || m || y.length === 0) return; + const n = S.current + 1; + S.current = n; + let t = N, s = $, c = w, T = 0; + for (k("running"), O(-1), U([N]), L(""); S.current === n; ) + for (let P = 0; P < y.length; P += 1) { + if (await wt(pt), S.current !== n) return; + const H = y[P], K = gt[H], A = { + x: t.x + K.dx, + y: t.y + K.dy + }; + if (!_e(A)) { + k("gameOverPrompt"), F("yes"), O(-1), L(`Game over after ${T} step(s). Try again?`); + return; + } + if (T += 1, t = A, W(A), U((E) => [...E, A]), O(P), yt(A, s)) { + if (c += 1, de(c), we(!0), c >= u) { + k("successPrompt"), Y("continue"), O(-1), L(`Success. ${c} challenge(s) complete.`); + return; + } + const E = z(v + 1), re = se(E), Te = ae(E); + t = h, s = re, k("idle"), le(E), W(h), ie(re), U([h]), O(-1), L( + `Challenge ${c}/${u} complete. Looking for a ${Te}-step move set.` + ); + return; + } + } + }, [w, v, u, m, N, y, i, $]); + oe(() => { + const n = (t) => { + const s = { + ArrowUp: "up", + ArrowDown: "down", + ArrowLeft: "left", + ArrowRight: "right" + }; + if (f === "gameOverPrompt") { + if (t.key === "ArrowLeft" || t.key === "ArrowUp") { + t.preventDefault(), F("yes"); + return; + } + if (t.key === "ArrowRight" || t.key === "ArrowDown") { + t.preventDefault(), F("no"); + return; + } + he(t.key) && (t.preventDefault(), R === "yes" ? Q() : b ? D() : ee()); + return; + } + if (f === "successPrompt") { + if (t.key === "ArrowLeft" || t.key === "ArrowUp") { + t.preventDefault(), Y("continue"); + return; + } + if (t.key === "ArrowRight" || t.key === "ArrowDown") { + t.preventDefault(), Y("done"); + return; + } + he(t.key) && (t.preventDefault(), I === "continue" ? X() : D()); + return; + } + if (f !== "idle") return; + const c = s[t.key]; + c && (t.preventDefault(), M(c)); + }; + return window.addEventListener("keydown", n), () => { + window.removeEventListener("keydown", n); + }; + }, [ + M, + ee, + D, + R, + b, + f, + Q, + X, + I + ]), oe( + () => () => { + S.current += 1; + }, + [] + ); + const Pe = ne(() => { + const n = $.x - N.x, t = N.y - $.y, s = Math.abs(n), c = Math.abs(t), T = ft(N, $); + if (s === 0 && c === 0) + return { + angle: 0, + motifLength: T, + motif: "On target" + }; + if (s === 0 || c === 0) + return { + angle: s === 0 ? 90 : 0, + motifLength: T, + motif: s === 0 ? `${t >= 0 ? "U" : "D"} x ${c}` : `${n >= 0 ? "R" : "L"} x ${s}` + }; + const P = ce(s, c), H = s / P, K = c / P, A = `${n >= 0 ? "R" : "L"} x ${H}`, E = `${t >= 0 ? "U" : "D"} x ${K}`; + return { + angle: Math.atan2(c, s) * (180 / Math.PI), + motifLength: T, + motif: `${A}, ${E}` + }; + }, [N, $]), ve = Math.round(Z(w / u * 100, 0, 100)), $e = _ ? `${e.wrapper} ${_}` : e.wrapper, ue = C * G, ke = B.map(bt).join(" "), te = B[B.length - 1]; + return /* @__PURE__ */ a("div", { className: $e, style: be, children: /* @__PURE__ */ l( + "section", + { + className: `${e.frame} ${b ? e.frameSucceeded : ""}`, + "aria-label": "Chess move set trainer", + children: [ + /* @__PURE__ */ l("header", { className: e.header, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "The Chess Analogy" }), + /* @__PURE__ */ l("p", { className: e.statsLine, children: [ + "Captures ", + w, + "/", + u, + " • Progress ", + ve, + "% • Program ", + y.length, + " • Target ", + J + ] }) + ] }), + /* @__PURE__ */ a("div", { className: e.boardPanel, children: /* @__PURE__ */ l("div", { className: e.board, role: "grid", "aria-label": "8 by 8 checkerboard", children: [ + /* @__PURE__ */ l( + "svg", + { + className: e.trailOverlay, + viewBox: `0 0 ${ue} ${ue}`, + preserveAspectRatio: "none", + "aria-hidden": "true", + children: [ + B.length > 1 && /* @__PURE__ */ a("polyline", { className: e.trailPath, points: ke }), + te && /* @__PURE__ */ a( + "circle", + { + className: e.trailHead, + cx: (te.x + 0.5) * G, + cy: (te.y + 0.5) * G, + r: 6 + } + ) + ] + } + ), + Array.from({ length: C * C }).map((n, t) => { + const s = t % C, c = Math.floor(t / C), T = (s + c) % 2 === 1, P = N.x === s && N.y === c, H = $.x === s && $.y === c; + return /* @__PURE__ */ l( + "div", + { + className: `${e.cell} ${T ? e.darkCell : e.lightCell}`, + role: "gridcell", + "aria-label": `x ${s + 1}, y ${C - c}`, + children: [ + H && /* @__PURE__ */ a("span", { className: e.target, "aria-hidden": "true", children: "●" }), + P && /* @__PURE__ */ a("span", { className: e.knight, "aria-hidden": "true", children: "♞" }) + ] + }, + `${s}-${c}` + ); + }) + ] }) }), + /* @__PURE__ */ l("div", { className: e.readout, children: [ + /* @__PURE__ */ l("p", { className: e.readoutLine, children: [ + "Angle: ", + /* @__PURE__ */ l("strong", { children: [ + Pe.angle.toFixed(1), + "°" + ] }) + ] }), + !1 + ] }), + /* @__PURE__ */ l("div", { className: e.programPanel, children: [ + /* @__PURE__ */ l("div", { className: e.programTrack, "aria-live": "polite", children: [ + y.length === 0 && /* @__PURE__ */ a("span", { className: e.placeholder, children: "Empty move set" }), + y.map((n, t) => /* @__PURE__ */ a( + "span", + { + className: `${e.step} ${i && t === fe ? e.stepExecuted : ""}`, + children: _t[n] + }, + `${n}-${t}` + )) + ] }), + /* @__PURE__ */ l("div", { className: e.programButtons, children: [ + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("up"), disabled: i || m, children: "↑" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("left"), disabled: i || m, children: "←" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("down"), disabled: i || m, children: "↓" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("right"), disabled: i || m, children: "→" }) + ] }), + /* @__PURE__ */ l("div", { className: e.controlRow, children: [ + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: xe, disabled: i || m || y.length === 0, children: "Undo" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: Ce, disabled: i || m || y.length === 0, children: "Clear" }), + /* @__PURE__ */ a("button", { type: "button", className: e.buttonPrimary, onClick: i ? Ne : Se, disabled: m || y.length === 0, children: i ? "Stop" : "Run" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => X(), disabled: i, children: "Reset" }) + ] }), + pe && /* @__PURE__ */ a("p", { className: e.legend, children: pe }) + ] }), + f === "gameOverPrompt" && /* @__PURE__ */ l("div", { className: e.promptOverlay, role: "dialog", "aria-modal": "true", "aria-label": "Game over prompt", children: [ + /* @__PURE__ */ a("p", { className: e.promptTitle, children: "Game over" }), + /* @__PURE__ */ a("p", { className: e.promptText, children: b ? "Try again or stop?" : "Try again?" }), + /* @__PURE__ */ l("div", { className: e.promptOptions, children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${R === "yes" ? e.promptSelected : ""}`, + onClick: Q, + children: [ + R === "yes" ? "▶ " : "", + "Yes" + ] + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${R === "no" ? e.promptSelected : ""}`, + onClick: b ? D : ee, + children: [ + R === "no" ? "▶ " : "", + b ? "I'm done" : "No" + ] + } + ) + ] }), + /* @__PURE__ */ a("p", { className: e.promptHint, children: "Use arrows + Enter." }) + ] }), + f === "successPrompt" && /* @__PURE__ */ l("div", { className: e.promptOverlay, role: "dialog", "aria-modal": "true", "aria-label": "Success prompt", children: [ + /* @__PURE__ */ a("p", { className: e.promptTitle, children: "Success" }), + /* @__PURE__ */ a("p", { className: e.promptText, children: "Continue?" }), + /* @__PURE__ */ l("div", { className: e.promptOptions, children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${I === "continue" ? e.promptSelected : ""}`, + onClick: () => X(), + children: [ + I === "continue" ? "▶ " : "", + "Yes" + ] + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${I === "done" ? e.promptSelected : ""}`, + onClick: D, + children: [ + I === "done" ? "▶ " : "", + "I'm done" + ] + } + ) + ] }), + /* @__PURE__ */ a("p", { className: e.promptHint, children: "Use arrows + Enter." }) + ] }) + ] + } + ) }); +} +const St = { + name: "chess_analogy", + displayName: "Chess Move Set Lab", + version: "1.0.0", + paramSchema: { + goalCaptures: { + type: "range", + label: "Targets To Capture", + description: "How many red targets must be captured before completion.", + default: 3, + min: 1, + max: 10, + step: 1 + } + }, + defaultParams: { + goalCaptures: 3 + } +}; +export { + Nt as default, + St as metadata +}; +//# sourceMappingURL=chess_analogy.js.map diff --git a/dist/glitch/glitch_chess_analogy/chess_analogy.js.map b/dist/glitch/glitch_chess_analogy/chess_analogy.js.map new file mode 100644 index 0000000..b50a25d --- /dev/null +++ b/dist/glitch/glitch_chess_analogy/chess_analogy.js.map @@ -0,0 +1 @@ +{"version":3,"file":"chess_analogy.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useEffect, useMemo, useRef, useState } from 'react'\nimport type { CSSProperties } from 'react'\nimport type { GlitchComponentProps } from './types'\nimport styles from './styles.module.css'\n\nconst BOARD_SIZE = 8\nconst START_POS = { x: 0, y: BOARD_SIZE - 1 }\nconst MOVE_DELAY_MS = 220\nconst MAX_PROGRAM_LENGTH = 64\nconst DEFAULT_GOAL_CAPTURES = 3\nconst SVG_CELL_SIZE = 100\nconst MIN_TARGET_DISTANCE = 5\n\ntype Direction = 'up' | 'down' | 'left' | 'right'\ntype GameMode = 'idle' | 'running' | 'gameOverPrompt' | 'successPrompt' | 'finished'\ntype GameOverChoice = 'yes' | 'no'\ntype SuccessChoice = 'continue' | 'done'\n\ninterface Position {\n x: number\n y: number\n}\n\ninterface StepVector {\n dx: number\n dy: number\n}\n\ninterface ChallengePattern {\n dx: number\n dy: number\n}\n\nconst VECTOR_BY_DIRECTION: Record = {\n up: { dx: 0, dy: -1 },\n down: { dx: 0, dy: 1 },\n left: { dx: -1, dy: 0 },\n right: { dx: 1, dy: 0 }\n}\n\nconst ARROW_BY_DIRECTION: Record = {\n up: '↑',\n down: '↓',\n left: '←',\n right: '→'\n}\n\nconst CHALLENGE_PATTERNS: ChallengePattern[] = [\n { dx: 0, dy: 1 },\n { dx: 1, dy: 1 },\n { dx: 1, dy: 2 },\n { dx: 1, dy: 3 },\n { dx: 2, dy: 3 },\n { dx: 1, dy: 5 },\n { dx: 1, dy: 6 }\n]\n\nconst clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value))\n\nconst isInsideBoard = (position: Position) =>\n position.x >= 0 && position.x < BOARD_SIZE && position.y >= 0 && position.y < BOARD_SIZE\n\nconst samePosition = (a: Position, b: Position) => a.x === b.x && a.y === b.y\n\nconst gcd = (a: number, b: number): number => {\n if (b === 0) return a\n return gcd(b, a % b)\n}\n\nconst getMoveSetLength = (from: Position, to: Position) => {\n const dx = Math.abs(to.x - from.x)\n const dy = Math.abs(to.y - from.y)\n\n if (dx === 0 && dy === 0) return 0\n if (dx === 0 || dy === 0) return dx + dy\n\n const divisor = gcd(dx, dy)\n return dx / divisor + dy / divisor\n}\n\nconst wait = (ms: number) =>\n new Promise((resolve) => {\n window.setTimeout(resolve, ms)\n })\n\nconst isConfirmKey = (key: string) =>\n key === 'Enter' || key === 'NumpadEnter' || key === ' ' || key === 'Space' || key === 'Spacebar'\n\nconst toSvgPoint = (position: Position) =>\n `${(position.x + 0.5) * SVG_CELL_SIZE},${(position.y + 0.5) * SVG_CELL_SIZE}`\n\nconst getChallengeIndex = (index: number) => clamp(index, 0, CHALLENGE_PATTERNS.length - 1)\n\nconst getPatternForChallenge = (challengeIndex: number) => CHALLENGE_PATTERNS[getChallengeIndex(challengeIndex)]\n\nconst getComplexityForChallenge = (challengeIndex: number) => {\n const pattern = getPatternForChallenge(challengeIndex)\n return pattern.dx + pattern.dy\n}\n\nconst getRandomTargetForChallenge = (challengeIndex: number): Position => {\n const pattern = getPatternForChallenge(challengeIndex)\n const candidates: Position[] = []\n\n for (let multiplier = 1; multiplier < BOARD_SIZE; multiplier += 1) {\n const candidate = {\n x: START_POS.x + pattern.dx * multiplier,\n y: START_POS.y - pattern.dy * multiplier\n }\n\n if (!isInsideBoard(candidate)) break\n\n const distance = Math.abs(candidate.x - START_POS.x) + Math.abs(candidate.y - START_POS.y)\n if (distance > MIN_TARGET_DISTANCE) {\n candidates.push(candidate)\n }\n }\n\n if (candidates.length === 0) {\n return {\n x: START_POS.x + pattern.dx,\n y: START_POS.y - pattern.dy\n }\n }\n\n const randomIndex = Math.floor(Math.random() * candidates.length)\n return candidates[randomIndex]\n}\n\nexport default function Component({\n config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const goalCaptures = useMemo(() => {\n const configured = config.params.goalCaptures\n if (typeof configured !== 'number') return DEFAULT_GOAL_CAPTURES\n return clamp(Math.round(configured), 1, 10)\n }, [config.params.goalCaptures])\n\n const [challengeIndex, setChallengeIndex] = useState(0)\n const [piece, setPiece] = useState(START_POS)\n const [target, setTarget] = useState(() => getRandomTargetForChallenge(0))\n const [program, setProgram] = useState([])\n const [trailPoints, setTrailPoints] = useState([START_POS])\n const [mode, setMode] = useState('idle')\n const [stepIndex, setStepIndex] = useState(-1)\n const [captures, setCaptures] = useState(0)\n const [lastRunSummary, setLastRunSummary] = useState('')\n const [gameOverChoice, setGameOverChoice] = useState('yes')\n const [successChoice, setSuccessChoice] = useState('continue')\n const [hasEverSucceeded, setHasEverSucceeded] = useState(false)\n\n const runIdRef = useRef(0)\n const completedRef = useRef(false)\n\n const running = mode === 'running'\n const lockedForPrompt = mode === 'gameOverPrompt' || mode === 'successPrompt' || mode === 'finished'\n const currentComplexityGoal = getComplexityForChallenge(challengeIndex)\n\n const themeStyle = useMemo(() => {\n if (!theme) return {}\n\n return {\n '--gc-primary': theme.primary,\n '--gc-accent': theme.accent,\n '--gc-bg': theme.bg,\n '--gc-bg-secondary': theme.bgSecondary,\n '--gc-text': theme.text,\n '--gc-text-muted': theme.textMuted,\n '--gc-border': theme.border\n } as CSSProperties\n }, [theme])\n\n useEffect(() => {\n const ratio = captures / goalCaptures\n onProgress?.(Math.round(clamp(ratio * 100, 0, 100)))\n }, [captures, goalCaptures, onProgress])\n\n const resetBoard = useCallback((nextChallengeIndex: number, nextCaptures: number, summary = '') => {\n runIdRef.current += 1\n setMode('idle')\n setChallengeIndex(getChallengeIndex(nextChallengeIndex))\n setPiece(START_POS)\n setTarget(getRandomTargetForChallenge(nextChallengeIndex))\n setTrailPoints([START_POS])\n setStepIndex(-1)\n setCaptures(nextCaptures)\n setGameOverChoice('yes')\n setSuccessChoice('continue')\n setLastRunSummary(summary)\n }, [])\n\n const retryChallenge = useCallback(() => {\n resetBoard(challengeIndex, 0, `Looking for a ${currentComplexityGoal}-step move set.`)\n }, [challengeIndex, currentComplexityGoal, resetBoard])\n\n const advanceChallenge = useCallback((nextCaptures = 0) => {\n const nextChallengeIndex = getChallengeIndex(challengeIndex + 1)\n const nextComplexityGoal = getComplexityForChallenge(nextChallengeIndex)\n\n resetBoard(nextChallengeIndex, nextCaptures, `Looking for a ${nextComplexityGoal}-step move set.`)\n }, [challengeIndex, resetBoard])\n\n const finishFailure = useCallback(() => {\n if (completedRef.current) return\n completedRef.current = true\n runIdRef.current += 1\n setMode('finished')\n onComplete({\n success: false,\n error: 'Player chose no after game over.',\n data: {\n captures,\n goalCaptures,\n configId: config.id,\n completedAt: new Date().toISOString(),\n hasEverSucceeded\n }\n })\n }, [captures, config.id, goalCaptures, hasEverSucceeded, onComplete])\n\n const finishSuccess = useCallback(() => {\n if (completedRef.current) return\n completedRef.current = true\n runIdRef.current += 1\n setMode('finished')\n onComplete({\n success: true,\n score: 100,\n data: {\n captures,\n goalCaptures,\n configId: config.id,\n completedAt: new Date().toISOString(),\n hasEverSucceeded\n }\n })\n }, [captures, config.id, goalCaptures, hasEverSucceeded, onComplete])\n\n const addInstruction = useCallback((direction: Direction) => {\n setProgram((previous) => {\n if (running || lockedForPrompt || previous.length >= MAX_PROGRAM_LENGTH) return previous\n return [...previous, direction]\n })\n }, [lockedForPrompt, running])\n\n const undoInstruction = useCallback(() => {\n if (running || lockedForPrompt) return\n setProgram((previous) => previous.slice(0, -1))\n }, [lockedForPrompt, running])\n\n const clearProgram = useCallback(() => {\n if (running || lockedForPrompt) return\n setProgram([])\n }, [lockedForPrompt, running])\n\n const stopProgram = useCallback(() => {\n runIdRef.current += 1\n setMode('idle')\n setStepIndex(-1)\n setLastRunSummary('Program stopped.')\n }, [])\n\n const runProgram = useCallback(async () => {\n if (running || lockedForPrompt || program.length === 0) return\n\n const runId = runIdRef.current + 1\n runIdRef.current = runId\n\n let currentPiece = piece\n let currentTarget = target\n let currentCaptures = captures\n let executedSteps = 0\n\n setMode('running')\n setStepIndex(-1)\n setTrailPoints([piece])\n setLastRunSummary('')\n\n while (runIdRef.current === runId) {\n for (let index = 0; index < program.length; index += 1) {\n await wait(MOVE_DELAY_MS)\n if (runIdRef.current !== runId) return\n\n const direction = program[index]\n const vector = VECTOR_BY_DIRECTION[direction]\n const candidate = {\n x: currentPiece.x + vector.dx,\n y: currentPiece.y + vector.dy\n }\n\n if (!isInsideBoard(candidate)) {\n setMode('gameOverPrompt')\n setGameOverChoice('yes')\n setStepIndex(-1)\n setLastRunSummary(`Game over after ${executedSteps} step(s). Try again?`)\n return\n }\n\n executedSteps += 1\n currentPiece = candidate\n setPiece(candidate)\n setTrailPoints((previous) => [...previous, candidate])\n setStepIndex(index)\n\n if (samePosition(candidate, currentTarget)) {\n currentCaptures += 1\n setCaptures(currentCaptures)\n setHasEverSucceeded(true)\n\n if (currentCaptures >= goalCaptures) {\n setMode('successPrompt')\n setSuccessChoice('continue')\n setStepIndex(-1)\n setLastRunSummary(`Success. ${currentCaptures} challenge(s) complete.`)\n return\n }\n\n const nextChallengeIndex = getChallengeIndex(challengeIndex + 1)\n const nextTarget = getRandomTargetForChallenge(nextChallengeIndex)\n const nextComplexityGoal = getComplexityForChallenge(nextChallengeIndex)\n\n currentPiece = START_POS\n currentTarget = nextTarget\n\n setMode('idle')\n setChallengeIndex(nextChallengeIndex)\n setPiece(START_POS)\n setTarget(nextTarget)\n setTrailPoints([START_POS])\n setStepIndex(-1)\n setLastRunSummary(\n `Challenge ${currentCaptures}/${goalCaptures} complete. 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'U' : 'D'} x ${absY}`\n : `${dx >= 0 ? 'R' : 'L'} x ${absX}`\n }\n }\n\n const divisor = gcd(absX, absY)\n const shortX = absX / divisor\n const shortY = absY / divisor\n const horizontal = `${dx >= 0 ? 'R' : 'L'} x ${shortX}`\n const vertical = `${dy >= 0 ? 'U' : 'D'} x ${shortY}`\n const angle = Math.atan2(absY, absX) * (180 / Math.PI)\n\n return {\n angle,\n motifLength,\n motif: `${horizontal}, ${vertical}`\n }\n }, [piece, target])\n\n const progressPercent = Math.round(clamp((captures / goalCaptures) * 100, 0, 100))\n const rootClassName = className ? `${styles.wrapper} ${className}` : styles.wrapper\n const boardView = BOARD_SIZE * SVG_CELL_SIZE\n const pathValue = trailPoints.map(toSvgPoint).join(' ')\n const trailHead = trailPoints[trailPoints.length - 1]\n\n return (\n
    \n \n
    \n

    The Chess Analogy

    \n

    \n Captures {captures}/{goalCaptures} • Progress {progressPercent}% • Program {program.length} • Target {currentComplexityGoal}\n

    \n
    \n\n
    \n
    \n
    \n )\n })}\n
    \n
    \n\n
    \n

    \n Angle: {aimMath.angle.toFixed(1)}°\n

    \n {false && (\n

    \n Primitive motif: {aimMath.motif} ({aimMath.motifLength})\n

    \n )}\n
    \n\n
    \n
    \n {program.length === 0 && Empty move set}\n {program.map((instruction, index) => (\n \n {ARROW_BY_DIRECTION[instruction]}\n \n ))}\n
    \n\n
    \n \n \n \n \n
    \n\n
    \n \n \n \n \n
    \n \n \n {lastRunSummary &&

    {lastRunSummary}

    }\n
    \n\n {mode === 'gameOverPrompt' && (\n
    \n

    Game over

    \n

    {hasEverSucceeded ? 'Try again or stop?' : 'Try again?'}

    \n
    \n \n {gameOverChoice === 'yes' ? '▶ ' : ''}Yes\n \n \n {gameOverChoice === 'no' ? '▶ ' : ''}{hasEverSucceeded ? \"I'm done\" : 'No'}\n \n
    \n

    Use arrows + Enter.

    \n
    \n )}\n\n {mode === 'successPrompt' && (\n
    \n

    Success

    \n

    Continue?

    \n
    \n advanceChallenge()}\n >\n {successChoice === 'continue' ? '▶ ' : ''}Yes\n \n \n {successChoice === 'done' ? '▶ ' : ''}I'm done\n \n
    \n

    Use arrows + Enter.

    \n
    \n )}\n \n
\n )\n}\n","import Component from './Component'\nimport type { GlitchComponentMetadata } from './types'\n\nexport default Component\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'chess_analogy',\n displayName: 'Chess Move Set Lab',\n version: '1.0.0',\n paramSchema: {\n goalCaptures: {\n type: 'range',\n label: 'Targets To Capture',\n description: 'How many red targets must be captured before completion.',\n default: 3,\n min: 1,\n max: 10,\n step: 1\n }\n },\n defaultParams: {\n goalCaptures: 3\n }\n}\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult,\n GlitchTheme,\n GlitchHostBridge,\n GlitchComponentMetadata\n} from 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n=e._x,s=e._y,u=e._z,f=e._w,h=this.dot(e);h<0&&(n=-n,s=-s,u=-u,f=-f,h=-h);let m=1-t;if(h<.9995){const g=Math.acos(h),_=Math.sin(g);m=Math.sin(m*g)/_,t=Math.sin(t*g)/_,this._x=this._x*m+n*t,this._y=this._y*m+s*t,this._z=this._z*m+u*t,this._w=this._w*m+f*t,this._onChangeCallback()}else this._x=this._x*m+n*t,this._y=this._y*m+s*t,this._z=this._z*m+u*t,this._w=this._w*m+f*t,this.normalize();return this}slerpQuaternions(e,t,n){return this.copy(e).slerp(t,n)}random(){const e=2*Math.PI*Math.random(),t=2*Math.PI*Math.random(),n=Math.random(),s=Math.sqrt(1-n),u=Math.sqrt(n);return this.set(s*Math.sin(e),s*Math.cos(e),u*Math.sin(t),u*Math.cos(t))}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._w===this._w}fromArray(e,t=0){return this._x=e[t],this._y=e[t+1],this._z=e[t+2],this._w=e[t+3],this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._w,e}fromBufferAttribute(e,t){return this._x=e.getX(t),this._y=e.getY(t),this._z=e.getZ(t),this._w=e.getW(t),this._onChangeCallback(),this}toJSON(){return this.toArray()}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._w}}class j{constructor(e=0,t=0,n=0){j.prototype.isVector3=!0,this.x=e,this.y=t,this.z=n}set(e,t,n){return n===void 0&&(n=this.z),this.x=e,this.y=t,this.z=n,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this}multiplyVectors(e,t){return this.x=e.x*t.x,this.y=e.y*t.y,this.z=e.z*t.z,this}applyEuler(e){return this.applyQuaternion(rM.setFromEuler(e))}applyAxisAngle(e,t){return this.applyQuaternion(rM.setFromAxisAngle(e,t))}applyMatrix3(e){const t=this.x,n=this.y,s=this.z,u=e.elements;return this.x=u[0]*t+u[3]*n+u[6]*s,this.y=u[1]*t+u[4]*n+u[7]*s,this.z=u[2]*t+u[5]*n+u[8]*s,this}applyNormalMatrix(e){return this.applyMatrix3(e).normalize()}applyMatrix4(e){const t=this.x,n=this.y,s=this.z,u=e.elements,f=1/(u[3]*t+u[7]*n+u[11]*s+u[15]);return this.x=(u[0]*t+u[4]*n+u[8]*s+u[12])*f,this.y=(u[1]*t+u[5]*n+u[9]*s+u[13])*f,this.z=(u[2]*t+u[6]*n+u[10]*s+u[14])*f,this}applyQuaternion(e){const t=this.x,n=this.y,s=this.z,u=e.x,f=e.y,h=e.z,m=e.w,g=2*(f*s-h*n),_=2*(h*t-u*s),x=2*(u*n-f*t);return this.x=t+m*g+f*x-h*_,this.y=n+m*_+h*g-u*x,this.z=s+m*x+u*_-f*g,this}project(e){return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix)}unproject(e){return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld)}transformDirection(e){const t=this.x,n=this.y,s=this.z,u=e.elements;return this.x=u[0]*t+u[4]*n+u[8]*s,this.y=u[1]*t+u[5]*n+u[9]*s,this.z=u[2]*t+u[6]*n+u[10]*s,this.normalize()}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this}divideScalar(e){return this.multiplyScalar(1/e)}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this}clamp(e,t){return this.x=Ht(this.x,e.x,t.x),this.y=Ht(this.y,e.y,t.y),this.z=Ht(this.z,e.z,t.z),this}clampScalar(e,t){return this.x=Ht(this.x,e,t),this.y=Ht(this.y,e,t),this.z=Ht(this.z,e,t),this}clampLength(e,t){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Ht(n,e,t))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this}cross(e){return this.crossVectors(this,e)}crossVectors(e,t){const n=e.x,s=e.y,u=e.z,f=t.x,h=t.y,m=t.z;return this.x=s*m-u*h,this.y=u*f-n*m,this.z=n*h-s*f,this}projectOnVector(e){const t=e.lengthSq();if(t===0)return this.set(0,0,0);const n=e.dot(this)/t;return this.copy(e).multiplyScalar(n)}projectOnPlane(e){return k_.copy(this).projectOnVector(e),this.sub(k_)}reflect(e){return this.sub(k_.copy(e).multiplyScalar(2*this.dot(e)))}angleTo(e){const t=Math.sqrt(this.lengthSq()*e.lengthSq());if(t===0)return Math.PI/2;const n=this.dot(e)/t;return Math.acos(Ht(n,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){const t=this.x-e.x,n=this.y-e.y,s=this.z-e.z;return t*t+n*n+s*s}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)+Math.abs(this.z-e.z)}setFromSpherical(e){return this.setFromSphericalCoords(e.radius,e.phi,e.theta)}setFromSphericalCoords(e,t,n){const s=Math.sin(t)*e;return this.x=s*Math.sin(n),this.y=Math.cos(t)*e,this.z=s*Math.cos(n),this}setFromCylindrical(e){return this.setFromCylindricalCoords(e.radius,e.theta,e.y)}setFromCylindricalCoords(e,t,n){return this.x=e*Math.sin(t),this.y=n,this.z=e*Math.cos(t),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this}setFromMatrixScale(e){const t=this.setFromMatrixColumn(e,0).length(),n=this.setFromMatrixColumn(e,1).length(),s=this.setFromMatrixColumn(e,2).length();return this.x=t,this.y=n,this.z=s,this}setFromMatrixColumn(e,t){return this.fromArray(e.elements,t*4)}setFromMatrix3Column(e,t){return this.fromArray(e.elements,t*3)}setFromEuler(e){return this.x=e._x,this.y=e._y,this.z=e._z,this}setFromColor(e){return this.x=e.r,this.y=e.g,this.z=e.b,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){const e=Math.random()*Math.PI*2,t=Math.random()*2-1,n=Math.sqrt(1-t*t);return this.x=n*Math.cos(e),this.y=t,this.z=n*Math.sin(e),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}}const k_=new j,rM=new Pa;class en{constructor(e,t,n,s,u,f,h,m,g){en.prototype.isMatrix3=!0,this.elements=[1,0,0,0,1,0,0,0,1],e!==void 0&&this.set(e,t,n,s,u,f,h,m,g)}set(e,t,n,s,u,f,h,m,g){const _=this.elements;return _[0]=e,_[1]=s,_[2]=h,_[3]=t,_[4]=u,_[5]=m,_[6]=n,_[7]=f,_[8]=g,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(e){const t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],this}extractBasis(e,t,n){return e.setFromMatrix3Column(this,0),t.setFromMatrix3Column(this,1),n.setFromMatrix3Column(this,2),this}setFromMatrix4(e){const t=e.elements;return this.set(t[0],t[4],t[8],t[1],t[5],t[9],t[2],t[6],t[10]),this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const n=e.elements,s=t.elements,u=this.elements,f=n[0],h=n[3],m=n[6],g=n[1],_=n[4],x=n[7],b=n[2],M=n[5],A=n[8],R=s[0],w=s[3],E=s[6],N=s[1],D=s[4],U=s[7],B=s[2],z=s[5],H=s[8];return u[0]=f*R+h*N+m*B,u[3]=f*w+h*D+m*z,u[6]=f*E+h*U+m*H,u[1]=g*R+_*N+x*B,u[4]=g*w+_*D+x*z,u[7]=g*E+_*U+x*H,u[2]=b*R+M*N+A*B,u[5]=b*w+M*D+A*z,u[8]=b*E+M*U+A*H,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[3]*=e,t[6]*=e,t[1]*=e,t[4]*=e,t[7]*=e,t[2]*=e,t[5]*=e,t[8]*=e,this}determinant(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8];return t*f*_-t*h*g-n*u*_+n*h*m+s*u*g-s*f*m}invert(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8],x=_*f-h*g,b=h*m-_*u,M=g*u-f*m,A=t*x+n*b+s*M;if(A===0)return this.set(0,0,0,0,0,0,0,0,0);const R=1/A;return e[0]=x*R,e[1]=(s*g-_*n)*R,e[2]=(h*n-s*f)*R,e[3]=b*R,e[4]=(_*t-s*m)*R,e[5]=(s*u-h*t)*R,e[6]=M*R,e[7]=(n*m-g*t)*R,e[8]=(f*t-n*u)*R,this}transpose(){let e;const t=this.elements;return e=t[1],t[1]=t[3],t[3]=e,e=t[2],t[2]=t[6],t[6]=e,e=t[5],t[5]=t[7],t[7]=e,this}getNormalMatrix(e){return this.setFromMatrix4(e).invert().transpose()}transposeIntoArray(e){const t=this.elements;return e[0]=t[0],e[1]=t[3],e[2]=t[6],e[3]=t[1],e[4]=t[4],e[5]=t[7],e[6]=t[2],e[7]=t[5],e[8]=t[8],this}setUvTransform(e,t,n,s,u,f,h){const m=Math.cos(u),g=Math.sin(u);return this.set(n*m,n*g,-n*(m*f+g*h)+f+e,-s*g,s*m,-s*(-g*f+m*h)+h+t,0,0,1),this}scale(e,t){return this.premultiply(V_.makeScale(e,t)),this}rotate(e){return this.premultiply(V_.makeRotation(-e)),this}translate(e,t){return this.premultiply(V_.makeTranslation(e,t)),this}makeTranslation(e,t){return e.isVector2?this.set(1,0,e.x,0,1,e.y,0,0,1):this.set(1,0,e,0,1,t,0,0,1),this}makeRotation(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,n,t,0,0,0,1),this}makeScale(e,t){return this.set(e,0,0,0,t,0,0,0,1),this}equals(e){const t=this.elements,n=e.elements;for(let s=0;s<9;s++)if(t[s]!==n[s])return!1;return!0}fromArray(e,t=0){for(let n=0;n<9;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){const n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e}clone(){return new this.constructor().fromArray(this.elements)}}const V_=new en,oM=new en().set(.4123908,.3575843,.1804808,.212639,.7151687,.0721923,.0193308,.1191948,.9505322),lM=new en().set(3.2409699,-1.5373832,-.4986108,-.9692436,1.8759675,.0415551,.0556301,-.203977,1.0569715);function cR(){const r={enabled:!0,workingColorSpace:zu,spaces:{},convert:function(s,u,f){return this.enabled===!1||u===f||!u||!f||(this.spaces[u].transfer===zn&&(s.r=Nl(s.r),s.g=Nl(s.g),s.b=Nl(s.b)),this.spaces[u].primaries!==this.spaces[f].primaries&&(s.applyMatrix3(this.spaces[u].toXYZ),s.applyMatrix3(this.spaces[f].fromXYZ)),this.spaces[f].transfer===zn&&(s.r=Wh(s.r),s.g=Wh(s.g),s.b=Wh(s.b))),s},workingToColorSpace:function(s,u){return this.convert(s,this.workingColorSpace,u)},colorSpaceToWorking:function(s,u){return this.convert(s,u,this.workingColorSpace)},getPrimaries:function(s){return this.spaces[s].primaries},getTransfer:function(s){return s===Cl?dm:this.spaces[s].transfer},getToneMappingMode:function(s){return this.spaces[s].outputColorSpaceConfig.toneMappingMode||"standard"},getLuminanceCoefficients:function(s,u=this.workingColorSpace){return s.fromArray(this.spaces[u].luminanceCoefficients)},define:function(s){Object.assign(this.spaces,s)},_getMatrix:function(s,u,f){return s.copy(this.spaces[u].toXYZ).multiply(this.spaces[f].fromXYZ)},_getDrawingBufferColorSpace:function(s){return this.spaces[s].outputColorSpaceConfig.drawingBufferColorSpace},_getUnpackColorSpace:function(s=this.workingColorSpace){return this.spaces[s].workingColorSpaceConfig.unpackColorSpace},fromWorkingColorSpace:function(s,u){return Zh("ColorManagement: .fromWorkingColorSpace() has been renamed to .workingToColorSpace()."),r.workingToColorSpace(s,u)},toWorkingColorSpace:function(s,u){return Zh("ColorManagement: .toWorkingColorSpace() has been renamed to .colorSpaceToWorking()."),r.colorSpaceToWorking(s,u)}},e=[.64,.33,.3,.6,.15,.06],t=[.2126,.7152,.0722],n=[.3127,.329];return r.define({[zu]:{primaries:e,whitePoint:n,transfer:dm,toXYZ:oM,fromXYZ:lM,luminanceCoefficients:t,workingColorSpaceConfig:{unpackColorSpace:Ia},outputColorSpaceConfig:{drawingBufferColorSpace:Ia}},[Ia]:{primaries:e,whitePoint:n,transfer:zn,toXYZ:oM,fromXYZ:lM,luminanceCoefficients:t,outputColorSpaceConfig:{drawingBufferColorSpace:Ia}}}),r}const Sn=cR();function Nl(r){return r<.04045?r*.0773993808:Math.pow(r*.9478672986+.0521327014,2.4)}function Wh(r){return r<.0031308?r*12.92:1.055*Math.pow(r,.41666)-.055}let vh;class VE{static getDataURL(e,t="image/png"){if(/^data:/i.test(e.src)||typeof HTMLCanvasElement>"u")return e.src;let n;if(e instanceof HTMLCanvasElement)n=e;else{vh===void 0&&(vh=mm("canvas")),vh.width=e.width,vh.height=e.height;const s=vh.getContext("2d");e instanceof ImageData?s.putImageData(e,0,0):s.drawImage(e,0,0,e.width,e.height),n=vh}return n.toDataURL(t)}static sRGBToLinear(e){if(typeof HTMLImageElement<"u"&&e instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&e instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&e instanceof ImageBitmap){const t=mm("canvas");t.width=e.width,t.height=e.height;const n=t.getContext("2d");n.drawImage(e,0,0,e.width,e.height);const s=n.getImageData(0,0,e.width,e.height),u=s.data;for(let f=0;f1),this.pmremVersion=0}get width(){return this.source.getSize(G_).x}get height(){return this.source.getSize(G_).y}get depth(){return this.source.getSize(G_).z}get image(){return this.source.data}set image(e=null){this.source.data=e}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}clone(){return new this.constructor().copy(this)}copy(e){return this.name=e.name,this.source=e.source,this.mipmaps=e.mipmaps.slice(0),this.mapping=e.mapping,this.channel=e.channel,this.wrapS=e.wrapS,this.wrapT=e.wrapT,this.magFilter=e.magFilter,this.minFilter=e.minFilter,this.anisotropy=e.anisotropy,this.format=e.format,this.internalFormat=e.internalFormat,this.type=e.type,this.offset.copy(e.offset),this.repeat.copy(e.repeat),this.center.copy(e.center),this.rotation=e.rotation,this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrix.copy(e.matrix),this.generateMipmaps=e.generateMipmaps,this.premultiplyAlpha=e.premultiplyAlpha,this.flipY=e.flipY,this.unpackAlignment=e.unpackAlignment,this.colorSpace=e.colorSpace,this.renderTarget=e.renderTarget,this.isRenderTargetTexture=e.isRenderTargetTexture,this.isArrayTexture=e.isArrayTexture,this.userData=JSON.parse(JSON.stringify(e.userData)),this.needsUpdate=!0,this}setValues(e){for(const t in e){const n=e[t];if(n===void 0){ft(`Texture.setValues(): parameter '${t}' has value of undefined.`);continue}const s=this[t];if(s===void 0){ft(`Texture.setValues(): property '${t}' does not exist.`);continue}s&&n&&s.isVector2&&n.isVector2||s&&n&&s.isVector3&&n.isVector3||s&&n&&s.isMatrix3&&n.isMatrix3?s.copy(n):this[t]=n}}toJSON(e){const t=e===void 0||typeof e=="string";if(!t&&e.textures[this.uuid]!==void 0)return e.textures[this.uuid];const n={metadata:{version:4.7,type:"Texture",generator:"Texture.toJSON"},uuid:this.uuid,name:this.name,image:this.source.toJSON(e).uuid,mapping:this.mapping,channel:this.channel,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,internalFormat:this.internalFormat,type:this.type,colorSpace:this.colorSpace,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,generateMipmaps:this.generateMipmaps,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};return Object.keys(this.userData).length>0&&(n.userData=this.userData),t||(e.textures[this.uuid]=n),n}dispose(){this.dispatchEvent({type:"dispose"})}transformUv(e){if(this.mapping!==vy)return e;if(e.applyMatrix3(this.matrix),e.x<0||e.x>1)switch(this.wrapS){case um:e.x=e.x-Math.floor(e.x);break;case Rs:e.x=e.x<0?0:1;break;case cm:Math.abs(Math.floor(e.x)%2)===1?e.x=Math.ceil(e.x)-e.x:e.x=e.x-Math.floor(e.x);break}if(e.y<0||e.y>1)switch(this.wrapT){case um:e.y=e.y-Math.floor(e.y);break;case Rs:e.y=e.y<0?0:1;break;case cm:Math.abs(Math.floor(e.y)%2)===1?e.y=Math.ceil(e.y)-e.y:e.y=e.y-Math.floor(e.y);break}return this.flipY&&(e.y=1-e.y),e}set needsUpdate(e){e===!0&&(this.version++,this.source.needsUpdate=!0)}set needsPMREMUpdate(e){e===!0&&this.pmremVersion++}}wi.DEFAULT_IMAGE=null;wi.DEFAULT_MAPPING=vy;wi.DEFAULT_ANISOTROPY=1;class jn{constructor(e=0,t=0,n=0,s=1){jn.prototype.isVector4=!0,this.x=e,this.y=t,this.z=n,this.w=s}get width(){return this.z}set width(e){this.z=e}get height(){return this.w}set height(e){this.w=e}set(e,t,n,s){return this.x=e,this.y=t,this.z=n,this.w=s,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this.w=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setW(e){return this.w=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;case 3:this.w=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this.w=e.w!==void 0?e.w:1,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this.w+=e.w,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this.w+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this.w=e.w+t.w,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this.w+=e.w*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this.w-=e.w,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this.w-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this.w=e.w-t.w,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this.w*=e.w,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this.w*=e,this}applyMatrix4(e){const t=this.x,n=this.y,s=this.z,u=this.w,f=e.elements;return this.x=f[0]*t+f[4]*n+f[8]*s+f[12]*u,this.y=f[1]*t+f[5]*n+f[9]*s+f[13]*u,this.z=f[2]*t+f[6]*n+f[10]*s+f[14]*u,this.w=f[3]*t+f[7]*n+f[11]*s+f[15]*u,this}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this.w/=e.w,this}divideScalar(e){return this.multiplyScalar(1/e)}setAxisAngleFromQuaternion(e){this.w=2*Math.acos(e.w);const t=Math.sqrt(1-e.w*e.w);return t<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=e.x/t,this.y=e.y/t,this.z=e.z/t),this}setAxisAngleFromRotationMatrix(e){let t,n,s,u;const m=e.elements,g=m[0],_=m[4],x=m[8],b=m[1],M=m[5],A=m[9],R=m[2],w=m[6],E=m[10];if(Math.abs(_-b)<.01&&Math.abs(x-R)<.01&&Math.abs(A-w)<.01){if(Math.abs(_+b)<.1&&Math.abs(x+R)<.1&&Math.abs(A+w)<.1&&Math.abs(g+M+E-3)<.1)return this.set(1,0,0,0),this;t=Math.PI;const D=(g+1)/2,U=(M+1)/2,B=(E+1)/2,z=(_+b)/4,H=(x+R)/4,W=(A+w)/4;return D>U&&D>B?D<.01?(n=0,s=.707106781,u=.707106781):(n=Math.sqrt(D),s=z/n,u=H/n):U>B?U<.01?(n=.707106781,s=0,u=.707106781):(s=Math.sqrt(U),n=z/s,u=W/s):B<.01?(n=.707106781,s=.707106781,u=0):(u=Math.sqrt(B),n=H/u,s=W/u),this.set(n,s,u,t),this}let N=Math.sqrt((w-A)*(w-A)+(x-R)*(x-R)+(b-_)*(b-_));return Math.abs(N)<.001&&(N=1),this.x=(w-A)/N,this.y=(x-R)/N,this.z=(b-_)/N,this.w=Math.acos((g+M+E-1)/2),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this.w=t[15],this}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this.w=Math.min(this.w,e.w),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this.w=Math.max(this.w,e.w),this}clamp(e,t){return this.x=Ht(this.x,e.x,t.x),this.y=Ht(this.y,e.y,t.y),this.z=Ht(this.z,e.z,t.z),this.w=Ht(this.w,e.w,t.w),this}clampScalar(e,t){return this.x=Ht(this.x,e,t),this.y=Ht(this.y,e,t),this.z=Ht(this.z,e,t),this.w=Ht(this.w,e,t),this}clampLength(e,t){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Ht(n,e,t))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this.w=Math.floor(this.w),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this.w=Math.ceil(this.w),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this.w=Math.round(this.w),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this.w=Math.trunc(this.w),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this.w=-this.w,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z+this.w*e.w}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this.w+=(e.w-this.w)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this.w=e.w+(t.w-e.w)*n,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z&&e.w===this.w}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this.w=e[t+3],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e[t+3]=this.w,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this.w=e.getW(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this.w=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z,yield this.w}}class Cb extends ko{constructor(e=1,t=1,n={}){super(),n=Object.assign({generateMipmaps:!1,internalFormat:null,minFilter:oi,depthBuffer:!0,stencilBuffer:!1,resolveDepthBuffer:!0,resolveStencilBuffer:!0,depthTexture:null,samples:0,count:1,depth:1,multiview:!1},n),this.isRenderTarget=!0,this.width=e,this.height=t,this.depth=n.depth,this.scissor=new jn(0,0,e,t),this.scissorTest=!1,this.viewport=new jn(0,0,e,t);const s={width:e,height:t,depth:n.depth},u=new wi(s);this.textures=[];const f=n.count;for(let h=0;h1);this.dispose()}this.viewport.set(0,0,e,t),this.scissor.set(0,0,e,t)}clone(){return new this.constructor().copy(this)}copy(e){this.width=e.width,this.height=e.height,this.depth=e.depth,this.scissor.copy(e.scissor),this.scissorTest=e.scissorTest,this.viewport.copy(e.viewport),this.textures.length=0;for(let t=0,n=e.textures.length;t=this.min.x&&e.x<=this.max.x&&e.y>=this.min.y&&e.y<=this.max.y&&e.z>=this.min.z&&e.z<=this.max.z}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y&&this.min.z<=e.min.z&&e.max.z<=this.max.z}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y),(e.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(e){return e.max.x>=this.min.x&&e.min.x<=this.max.x&&e.max.y>=this.min.y&&e.min.y<=this.max.y&&e.max.z>=this.min.z&&e.min.z<=this.max.z}intersectsSphere(e){return this.clampPoint(e.center,Gr),Gr.distanceToSquared(e.center)<=e.radius*e.radius}intersectsPlane(e){let t,n;return e.normal.x>0?(t=e.normal.x*this.min.x,n=e.normal.x*this.max.x):(t=e.normal.x*this.max.x,n=e.normal.x*this.min.x),e.normal.y>0?(t+=e.normal.y*this.min.y,n+=e.normal.y*this.max.y):(t+=e.normal.y*this.max.y,n+=e.normal.y*this.min.y),e.normal.z>0?(t+=e.normal.z*this.min.z,n+=e.normal.z*this.max.z):(t+=e.normal.z*this.max.z,n+=e.normal.z*this.min.z),t<=-e.constant&&n>=-e.constant}intersectsTriangle(e){if(this.isEmpty())return!1;this.getCenter(Ip),x0.subVectors(this.max,Ip),yh.subVectors(e.a,Ip),_h.subVectors(e.b,Ip),xh.subVectors(e.c,Ip),Mu.subVectors(_h,yh),Eu.subVectors(xh,_h),Rc.subVectors(yh,xh);let t=[0,-Mu.z,Mu.y,0,-Eu.z,Eu.y,0,-Rc.z,Rc.y,Mu.z,0,-Mu.x,Eu.z,0,-Eu.x,Rc.z,0,-Rc.x,-Mu.y,Mu.x,0,-Eu.y,Eu.x,0,-Rc.y,Rc.x,0];return!X_(t,yh,_h,xh,x0)||(t=[1,0,0,0,1,0,0,0,1],!X_(t,yh,_h,xh,x0))?!1:(b0.crossVectors(Mu,Eu),t=[b0.x,b0.y,b0.z],X_(t,yh,_h,xh,x0))}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,Gr).distanceTo(e)}getBoundingSphere(e){return this.isEmpty()?e.makeEmpty():(this.getCenter(e.center),e.radius=this.getSize(Gr).length()*.5),e}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}applyMatrix4(e){return this.isEmpty()?this:(bl[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(e),bl[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(e),bl[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(e),bl[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(e),bl[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(e),bl[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(e),bl[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(e),bl[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(e),this.setFromPoints(bl),this)}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}toJSON(){return{min:this.min.toArray(),max:this.max.toArray()}}fromJSON(e){return this.min.fromArray(e.min),this.max.fromArray(e.max),this}}const bl=[new j,new j,new j,new j,new j,new j,new j,new j],Gr=new j,_0=new za,yh=new j,_h=new j,xh=new j,Mu=new j,Eu=new j,Rc=new j,Ip=new j,x0=new j,b0=new j,Nc=new j;function X_(r,e,t,n,s){for(let u=0,f=r.length-3;u<=f;u+=3){Nc.fromArray(r,u);const h=s.x*Math.abs(Nc.x)+s.y*Math.abs(Nc.y)+s.z*Math.abs(Nc.z),m=e.dot(Nc),g=t.dot(Nc),_=n.dot(Nc);if(Math.max(-Math.max(m,g,_),Math.min(m,g,_))>h)return!1}return!0}const mR=new za,Op=new j,W_=new j;class _a{constructor(e=new j,t=-1){this.isSphere=!0,this.center=e,this.radius=t}set(e,t){return this.center.copy(e),this.radius=t,this}setFromPoints(e,t){const n=this.center;t!==void 0?n.copy(t):mR.setFromPoints(e).getCenter(n);let s=0;for(let u=0,f=e.length;uthis.radius*this.radius&&(t.sub(this.center).normalize(),t.multiplyScalar(this.radius).add(this.center)),t}getBoundingBox(e){return this.isEmpty()?(e.makeEmpty(),e):(e.set(this.center,this.center),e.expandByScalar(this.radius),e)}applyMatrix4(e){return this.center.applyMatrix4(e),this.radius=this.radius*e.getMaxScaleOnAxis(),this}translate(e){return this.center.add(e),this}expandByPoint(e){if(this.isEmpty())return this.center.copy(e),this.radius=0,this;Op.subVectors(e,this.center);const t=Op.lengthSq();if(t>this.radius*this.radius){const n=Math.sqrt(t),s=(n-this.radius)*.5;this.center.addScaledVector(Op,s/n),this.radius+=s}return this}union(e){return e.isEmpty()?this:this.isEmpty()?(this.copy(e),this):(this.center.equals(e.center)===!0?this.radius=Math.max(this.radius,e.radius):(W_.subVectors(e.center,this.center).setLength(e.radius),this.expandByPoint(Op.copy(e.center).add(W_)),this.expandByPoint(Op.copy(e.center).sub(W_))),this)}equals(e){return e.center.equals(this.center)&&e.radius===this.radius}clone(){return new this.constructor().copy(this)}toJSON(){return{radius:this.radius,center:this.center.toArray()}}fromJSON(e){return this.radius=e.radius,this.center.fromArray(e.center),this}}const Sl=new j,q_=new j,S0=new j,Tu=new j,j_=new j,M0=new j,Y_=new j;class of{constructor(e=new j,t=new j(0,0,-1)){this.origin=e,this.direction=t}set(e,t){return this.origin.copy(e),this.direction.copy(t),this}copy(e){return this.origin.copy(e.origin),this.direction.copy(e.direction),this}at(e,t){return t.copy(this.origin).addScaledVector(this.direction,e)}lookAt(e){return this.direction.copy(e).sub(this.origin).normalize(),this}recast(e){return this.origin.copy(this.at(e,Sl)),this}closestPointToPoint(e,t){t.subVectors(e,this.origin);const n=t.dot(this.direction);return n<0?t.copy(this.origin):t.copy(this.origin).addScaledVector(this.direction,n)}distanceToPoint(e){return Math.sqrt(this.distanceSqToPoint(e))}distanceSqToPoint(e){const t=Sl.subVectors(e,this.origin).dot(this.direction);return t<0?this.origin.distanceToSquared(e):(Sl.copy(this.origin).addScaledVector(this.direction,t),Sl.distanceToSquared(e))}distanceSqToSegment(e,t,n,s){q_.copy(e).add(t).multiplyScalar(.5),S0.copy(t).sub(e).normalize(),Tu.copy(this.origin).sub(q_);const u=e.distanceTo(t)*.5,f=-this.direction.dot(S0),h=Tu.dot(this.direction),m=-Tu.dot(S0),g=Tu.lengthSq(),_=Math.abs(1-f*f);let x,b,M,A;if(_>0)if(x=f*m-h,b=f*h-m,A=u*_,x>=0)if(b>=-A)if(b<=A){const R=1/_;x*=R,b*=R,M=x*(x+f*b+2*h)+b*(f*x+b+2*m)+g}else b=u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;else b=-u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;else b<=-A?(x=Math.max(0,-(-f*u+h)),b=x>0?-u:Math.min(Math.max(-u,-m),u),M=-x*x+b*(b+2*m)+g):b<=A?(x=0,b=Math.min(Math.max(-u,-m),u),M=b*(b+2*m)+g):(x=Math.max(0,-(f*u+h)),b=x>0?u:Math.min(Math.max(-u,-m),u),M=-x*x+b*(b+2*m)+g);else b=f>0?-u:u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;return n&&n.copy(this.origin).addScaledVector(this.direction,x),s&&s.copy(q_).addScaledVector(S0,b),M}intersectSphere(e,t){Sl.subVectors(e.center,this.origin);const n=Sl.dot(this.direction),s=Sl.dot(Sl)-n*n,u=e.radius*e.radius;if(s>u)return null;const f=Math.sqrt(u-s),h=n-f,m=n+f;return m<0?null:h<0?this.at(m,t):this.at(h,t)}intersectsSphere(e){return e.radius<0?!1:this.distanceSqToPoint(e.center)<=e.radius*e.radius}distanceToPlane(e){const t=e.normal.dot(this.direction);if(t===0)return e.distanceToPoint(this.origin)===0?0:null;const n=-(this.origin.dot(e.normal)+e.constant)/t;return n>=0?n:null}intersectPlane(e,t){const n=this.distanceToPlane(e);return n===null?null:this.at(n,t)}intersectsPlane(e){const t=e.distanceToPoint(this.origin);return t===0||e.normal.dot(this.direction)*t<0}intersectBox(e,t){let n,s,u,f,h,m;const g=1/this.direction.x,_=1/this.direction.y,x=1/this.direction.z,b=this.origin;return g>=0?(n=(e.min.x-b.x)*g,s=(e.max.x-b.x)*g):(n=(e.max.x-b.x)*g,s=(e.min.x-b.x)*g),_>=0?(u=(e.min.y-b.y)*_,f=(e.max.y-b.y)*_):(u=(e.max.y-b.y)*_,f=(e.min.y-b.y)*_),n>f||u>s||((u>n||isNaN(n))&&(n=u),(f=0?(h=(e.min.z-b.z)*x,m=(e.max.z-b.z)*x):(h=(e.max.z-b.z)*x,m=(e.min.z-b.z)*x),n>m||h>s)||((h>n||n!==n)&&(n=h),(m=0?n:s,t)}intersectsBox(e){return this.intersectBox(e,Sl)!==null}intersectTriangle(e,t,n,s,u){j_.subVectors(t,e),M0.subVectors(n,e),Y_.crossVectors(j_,M0);let f=this.direction.dot(Y_),h;if(f>0){if(s)return null;h=1}else if(f<0)h=-1,f=-f;else return null;Tu.subVectors(this.origin,e);const m=h*this.direction.dot(M0.crossVectors(Tu,M0));if(m<0)return null;const g=h*this.direction.dot(j_.cross(Tu));if(g<0||m+g>f)return null;const _=-h*Tu.dot(Y_);return _<0?null:this.at(_/f,u)}applyMatrix4(e){return this.origin.applyMatrix4(e),this.direction.transformDirection(e),this}equals(e){return e.origin.equals(this.origin)&&e.direction.equals(this.direction)}clone(){return new this.constructor().copy(this)}}class Xt{constructor(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w){Xt.prototype.isMatrix4=!0,this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],e!==void 0&&this.set(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w)}set(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w){const E=this.elements;return E[0]=e,E[4]=t,E[8]=n,E[12]=s,E[1]=u,E[5]=f,E[9]=h,E[13]=m,E[2]=g,E[6]=_,E[10]=x,E[14]=b,E[3]=M,E[7]=A,E[11]=R,E[15]=w,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return new Xt().fromArray(this.elements)}copy(e){const t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],t[9]=n[9],t[10]=n[10],t[11]=n[11],t[12]=n[12],t[13]=n[13],t[14]=n[14],t[15]=n[15],this}copyPosition(e){const t=this.elements,n=e.elements;return t[12]=n[12],t[13]=n[13],t[14]=n[14],this}setFromMatrix3(e){const t=e.elements;return this.set(t[0],t[3],t[6],0,t[1],t[4],t[7],0,t[2],t[5],t[8],0,0,0,0,1),this}extractBasis(e,t,n){return this.determinant()===0?(e.set(1,0,0),t.set(0,1,0),n.set(0,0,1),this):(e.setFromMatrixColumn(this,0),t.setFromMatrixColumn(this,1),n.setFromMatrixColumn(this,2),this)}makeBasis(e,t,n){return this.set(e.x,t.x,n.x,0,e.y,t.y,n.y,0,e.z,t.z,n.z,0,0,0,0,1),this}extractRotation(e){if(e.determinant()===0)return this.identity();const t=this.elements,n=e.elements,s=1/bh.setFromMatrixColumn(e,0).length(),u=1/bh.setFromMatrixColumn(e,1).length(),f=1/bh.setFromMatrixColumn(e,2).length();return t[0]=n[0]*s,t[1]=n[1]*s,t[2]=n[2]*s,t[3]=0,t[4]=n[4]*u,t[5]=n[5]*u,t[6]=n[6]*u,t[7]=0,t[8]=n[8]*f,t[9]=n[9]*f,t[10]=n[10]*f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromEuler(e){const t=this.elements,n=e.x,s=e.y,u=e.z,f=Math.cos(n),h=Math.sin(n),m=Math.cos(s),g=Math.sin(s),_=Math.cos(u),x=Math.sin(u);if(e.order==="XYZ"){const b=f*_,M=f*x,A=h*_,R=h*x;t[0]=m*_,t[4]=-m*x,t[8]=g,t[1]=M+A*g,t[5]=b-R*g,t[9]=-h*m,t[2]=R-b*g,t[6]=A+M*g,t[10]=f*m}else if(e.order==="YXZ"){const b=m*_,M=m*x,A=g*_,R=g*x;t[0]=b+R*h,t[4]=A*h-M,t[8]=f*g,t[1]=f*x,t[5]=f*_,t[9]=-h,t[2]=M*h-A,t[6]=R+b*h,t[10]=f*m}else if(e.order==="ZXY"){const b=m*_,M=m*x,A=g*_,R=g*x;t[0]=b-R*h,t[4]=-f*x,t[8]=A+M*h,t[1]=M+A*h,t[5]=f*_,t[9]=R-b*h,t[2]=-f*g,t[6]=h,t[10]=f*m}else if(e.order==="ZYX"){const b=f*_,M=f*x,A=h*_,R=h*x;t[0]=m*_,t[4]=A*g-M,t[8]=b*g+R,t[1]=m*x,t[5]=R*g+b,t[9]=M*g-A,t[2]=-g,t[6]=h*m,t[10]=f*m}else if(e.order==="YZX"){const b=f*m,M=f*g,A=h*m,R=h*g;t[0]=m*_,t[4]=R-b*x,t[8]=A*x+M,t[1]=x,t[5]=f*_,t[9]=-h*_,t[2]=-g*_,t[6]=M*x+A,t[10]=b-R*x}else if(e.order==="XZY"){const b=f*m,M=f*g,A=h*m,R=h*g;t[0]=m*_,t[4]=-x,t[8]=g*_,t[1]=b*x+R,t[5]=f*_,t[9]=M*x-A,t[2]=A*x-M,t[6]=h*_,t[10]=R*x+b}return t[3]=0,t[7]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromQuaternion(e){return this.compose(gR,e,vR)}lookAt(e,t,n){const s=this.elements;return Bs.subVectors(e,t),Bs.lengthSq()===0&&(Bs.z=1),Bs.normalize(),Au.crossVectors(n,Bs),Au.lengthSq()===0&&(Math.abs(n.z)===1?Bs.x+=1e-4:Bs.z+=1e-4,Bs.normalize(),Au.crossVectors(n,Bs)),Au.normalize(),E0.crossVectors(Bs,Au),s[0]=Au.x,s[4]=E0.x,s[8]=Bs.x,s[1]=Au.y,s[5]=E0.y,s[9]=Bs.y,s[2]=Au.z,s[6]=E0.z,s[10]=Bs.z,this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const n=e.elements,s=t.elements,u=this.elements,f=n[0],h=n[4],m=n[8],g=n[12],_=n[1],x=n[5],b=n[9],M=n[13],A=n[2],R=n[6],w=n[10],E=n[14],N=n[3],D=n[7],U=n[11],B=n[15],z=s[0],H=s[4],W=s[8],I=s[12],P=s[1],Z=s[5],se=s[9],te=s[13],fe=s[2],pe=s[6],Y=s[10],q=s[14],ne=s[3],be=s[7],Ne=s[11],X=s[15];return u[0]=f*z+h*P+m*fe+g*ne,u[4]=f*H+h*Z+m*pe+g*be,u[8]=f*W+h*se+m*Y+g*Ne,u[12]=f*I+h*te+m*q+g*X,u[1]=_*z+x*P+b*fe+M*ne,u[5]=_*H+x*Z+b*pe+M*be,u[9]=_*W+x*se+b*Y+M*Ne,u[13]=_*I+x*te+b*q+M*X,u[2]=A*z+R*P+w*fe+E*ne,u[6]=A*H+R*Z+w*pe+E*be,u[10]=A*W+R*se+w*Y+E*Ne,u[14]=A*I+R*te+w*q+E*X,u[3]=N*z+D*P+U*fe+B*ne,u[7]=N*H+D*Z+U*pe+B*be,u[11]=N*W+D*se+U*Y+B*Ne,u[15]=N*I+D*te+U*q+B*X,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[4]*=e,t[8]*=e,t[12]*=e,t[1]*=e,t[5]*=e,t[9]*=e,t[13]*=e,t[2]*=e,t[6]*=e,t[10]*=e,t[14]*=e,t[3]*=e,t[7]*=e,t[11]*=e,t[15]*=e,this}determinant(){const e=this.elements,t=e[0],n=e[4],s=e[8],u=e[12],f=e[1],h=e[5],m=e[9],g=e[13],_=e[2],x=e[6],b=e[10],M=e[14],A=e[3],R=e[7],w=e[11],E=e[15],N=m*M-g*b,D=h*M-g*x,U=h*b-m*x,B=f*M-g*_,z=f*b-m*_,H=f*x-h*_;return t*(R*N-w*D+E*U)-n*(A*N-w*B+E*z)+s*(A*D-R*B+E*H)-u*(A*U-R*z+w*H)}transpose(){const e=this.elements;let t;return t=e[1],e[1]=e[4],e[4]=t,t=e[2],e[2]=e[8],e[8]=t,t=e[6],e[6]=e[9],e[9]=t,t=e[3],e[3]=e[12],e[12]=t,t=e[7],e[7]=e[13],e[13]=t,t=e[11],e[11]=e[14],e[14]=t,this}setPosition(e,t,n){const s=this.elements;return e.isVector3?(s[12]=e.x,s[13]=e.y,s[14]=e.z):(s[12]=e,s[13]=t,s[14]=n),this}invert(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8],x=e[9],b=e[10],M=e[11],A=e[12],R=e[13],w=e[14],E=e[15],N=x*w*g-R*b*g+R*m*M-h*w*M-x*m*E+h*b*E,D=A*b*g-_*w*g-A*m*M+f*w*M+_*m*E-f*b*E,U=_*R*g-A*x*g+A*h*M-f*R*M-_*h*E+f*x*E,B=A*x*m-_*R*m-A*h*b+f*R*b+_*h*w-f*x*w,z=t*N+n*D+s*U+u*B;if(z===0)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const H=1/z;return e[0]=N*H,e[1]=(R*b*u-x*w*u-R*s*M+n*w*M+x*s*E-n*b*E)*H,e[2]=(h*w*u-R*m*u+R*s*g-n*w*g-h*s*E+n*m*E)*H,e[3]=(x*m*u-h*b*u-x*s*g+n*b*g+h*s*M-n*m*M)*H,e[4]=D*H,e[5]=(_*w*u-A*b*u+A*s*M-t*w*M-_*s*E+t*b*E)*H,e[6]=(A*m*u-f*w*u-A*s*g+t*w*g+f*s*E-t*m*E)*H,e[7]=(f*b*u-_*m*u+_*s*g-t*b*g-f*s*M+t*m*M)*H,e[8]=U*H,e[9]=(A*x*u-_*R*u-A*n*M+t*R*M+_*n*E-t*x*E)*H,e[10]=(f*R*u-A*h*u+A*n*g-t*R*g-f*n*E+t*h*E)*H,e[11]=(_*h*u-f*x*u-_*n*g+t*x*g+f*n*M-t*h*M)*H,e[12]=B*H,e[13]=(_*R*s-A*x*s+A*n*b-t*R*b-_*n*w+t*x*w)*H,e[14]=(A*h*s-f*R*s-A*n*m+t*R*m+f*n*w-t*h*w)*H,e[15]=(f*x*s-_*h*s+_*n*m-t*x*m-f*n*b+t*h*b)*H,this}scale(e){const t=this.elements,n=e.x,s=e.y,u=e.z;return t[0]*=n,t[4]*=s,t[8]*=u,t[1]*=n,t[5]*=s,t[9]*=u,t[2]*=n,t[6]*=s,t[10]*=u,t[3]*=n,t[7]*=s,t[11]*=u,this}getMaxScaleOnAxis(){const e=this.elements,t=e[0]*e[0]+e[1]*e[1]+e[2]*e[2],n=e[4]*e[4]+e[5]*e[5]+e[6]*e[6],s=e[8]*e[8]+e[9]*e[9]+e[10]*e[10];return Math.sqrt(Math.max(t,n,s))}makeTranslation(e,t,n){return e.isVector3?this.set(1,0,0,e.x,0,1,0,e.y,0,0,1,e.z,0,0,0,1):this.set(1,0,0,e,0,1,0,t,0,0,1,n,0,0,0,1),this}makeRotationX(e){const t=Math.cos(e),n=Math.sin(e);return this.set(1,0,0,0,0,t,-n,0,0,n,t,0,0,0,0,1),this}makeRotationY(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,0,n,0,0,1,0,0,-n,0,t,0,0,0,0,1),this}makeRotationZ(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,0,n,t,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(e,t){const n=Math.cos(t),s=Math.sin(t),u=1-n,f=e.x,h=e.y,m=e.z,g=u*f,_=u*h;return this.set(g*f+n,g*h-s*m,g*m+s*h,0,g*h+s*m,_*h+n,_*m-s*f,0,g*m-s*h,_*m+s*f,u*m*m+n,0,0,0,0,1),this}makeScale(e,t,n){return this.set(e,0,0,0,0,t,0,0,0,0,n,0,0,0,0,1),this}makeShear(e,t,n,s,u,f){return this.set(1,n,u,0,e,1,f,0,t,s,1,0,0,0,0,1),this}compose(e,t,n){const s=this.elements,u=t._x,f=t._y,h=t._z,m=t._w,g=u+u,_=f+f,x=h+h,b=u*g,M=u*_,A=u*x,R=f*_,w=f*x,E=h*x,N=m*g,D=m*_,U=m*x,B=n.x,z=n.y,H=n.z;return s[0]=(1-(R+E))*B,s[1]=(M+U)*B,s[2]=(A-D)*B,s[3]=0,s[4]=(M-U)*z,s[5]=(1-(b+E))*z,s[6]=(w+N)*z,s[7]=0,s[8]=(A+D)*H,s[9]=(w-N)*H,s[10]=(1-(b+R))*H,s[11]=0,s[12]=e.x,s[13]=e.y,s[14]=e.z,s[15]=1,this}decompose(e,t,n){const s=this.elements;if(e.x=s[12],e.y=s[13],e.z=s[14],this.determinant()===0)return n.set(1,1,1),t.identity(),this;let u=bh.set(s[0],s[1],s[2]).length();const f=bh.set(s[4],s[5],s[6]).length(),h=bh.set(s[8],s[9],s[10]).length();this.determinant()<0&&(u=-u),Xr.copy(this);const g=1/u,_=1/f,x=1/h;return Xr.elements[0]*=g,Xr.elements[1]*=g,Xr.elements[2]*=g,Xr.elements[4]*=_,Xr.elements[5]*=_,Xr.elements[6]*=_,Xr.elements[8]*=x,Xr.elements[9]*=x,Xr.elements[10]*=x,t.setFromRotationMatrix(Xr),n.x=u,n.y=f,n.z=h,this}makePerspective(e,t,n,s,u,f,h=ks,m=!1){const g=this.elements,_=2*u/(t-e),x=2*u/(n-s),b=(t+e)/(t-e),M=(n+s)/(n-s);let A,R;if(m)A=u/(f-u),R=f*u/(f-u);else if(h===ks)A=-(f+u)/(f-u),R=-2*f*u/(f-u);else if(h===Yh)A=-f/(f-u),R=-f*u/(f-u);else throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: "+h);return g[0]=_,g[4]=0,g[8]=b,g[12]=0,g[1]=0,g[5]=x,g[9]=M,g[13]=0,g[2]=0,g[6]=0,g[10]=A,g[14]=R,g[3]=0,g[7]=0,g[11]=-1,g[15]=0,this}makeOrthographic(e,t,n,s,u,f,h=ks,m=!1){const g=this.elements,_=2/(t-e),x=2/(n-s),b=-(t+e)/(t-e),M=-(n+s)/(n-s);let A,R;if(m)A=1/(f-u),R=f/(f-u);else if(h===ks)A=-2/(f-u),R=-(f+u)/(f-u);else if(h===Yh)A=-1/(f-u),R=-u/(f-u);else throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: "+h);return g[0]=_,g[4]=0,g[8]=0,g[12]=b,g[1]=0,g[5]=x,g[9]=0,g[13]=M,g[2]=0,g[6]=0,g[10]=A,g[14]=R,g[3]=0,g[7]=0,g[11]=0,g[15]=1,this}equals(e){const t=this.elements,n=e.elements;for(let s=0;s<16;s++)if(t[s]!==n[s])return!1;return!0}fromArray(e,t=0){for(let n=0;n<16;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){const n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e[t+9]=n[9],e[t+10]=n[10],e[t+11]=n[11],e[t+12]=n[12],e[t+13]=n[13],e[t+14]=n[14],e[t+15]=n[15],e}}const bh=new j,Xr=new Xt,gR=new j(0,0,0),vR=new j(1,1,1),Au=new j,E0=new j,Bs=new j,uM=new Xt,cM=new Pa;class Gs{constructor(e=0,t=0,n=0,s=Gs.DEFAULT_ORDER){this.isEuler=!0,this._x=e,this._y=t,this._z=n,this._order=s}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get order(){return this._order}set order(e){this._order=e,this._onChangeCallback()}set(e,t,n,s=this._order){return this._x=e,this._y=t,this._z=n,this._order=s,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(e){return this._x=e._x,this._y=e._y,this._z=e._z,this._order=e._order,this._onChangeCallback(),this}setFromRotationMatrix(e,t=this._order,n=!0){const s=e.elements,u=s[0],f=s[4],h=s[8],m=s[1],g=s[5],_=s[9],x=s[2],b=s[6],M=s[10];switch(t){case"XYZ":this._y=Math.asin(Ht(h,-1,1)),Math.abs(h)<.9999999?(this._x=Math.atan2(-_,M),this._z=Math.atan2(-f,u)):(this._x=Math.atan2(b,g),this._z=0);break;case"YXZ":this._x=Math.asin(-Ht(_,-1,1)),Math.abs(_)<.9999999?(this._y=Math.atan2(h,M),this._z=Math.atan2(m,g)):(this._y=Math.atan2(-x,u),this._z=0);break;case"ZXY":this._x=Math.asin(Ht(b,-1,1)),Math.abs(b)<.9999999?(this._y=Math.atan2(-x,M),this._z=Math.atan2(-f,g)):(this._y=0,this._z=Math.atan2(m,u));break;case"ZYX":this._y=Math.asin(-Ht(x,-1,1)),Math.abs(x)<.9999999?(this._x=Math.atan2(b,M),this._z=Math.atan2(m,u)):(this._x=0,this._z=Math.atan2(-f,g));break;case"YZX":this._z=Math.asin(Ht(m,-1,1)),Math.abs(m)<.9999999?(this._x=Math.atan2(-_,g),this._y=Math.atan2(-x,u)):(this._x=0,this._y=Math.atan2(h,M));break;case"XZY":this._z=Math.asin(-Ht(f,-1,1)),Math.abs(f)<.9999999?(this._x=Math.atan2(b,g),this._y=Math.atan2(h,u)):(this._x=Math.atan2(-_,M),this._y=0);break;default:ft("Euler: .setFromRotationMatrix() encountered an unknown order: "+t)}return this._order=t,n===!0&&this._onChangeCallback(),this}setFromQuaternion(e,t,n){return uM.makeRotationFromQuaternion(e),this.setFromRotationMatrix(uM,t,n)}setFromVector3(e,t=this._order){return this.set(e.x,e.y,e.z,t)}reorder(e){return cM.setFromEuler(this),this.setFromQuaternion(cM,e)}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._order===this._order}fromArray(e){return this._x=e[0],this._y=e[1],this._z=e[2],e[3]!==void 0&&(this._order=e[3]),this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._order,e}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._order}}Gs.DEFAULT_ORDER="XYZ";class Kh{constructor(){this.mask=1}set(e){this.mask=(1<>>0}enable(e){this.mask|=1<1){for(let t=0;t1){for(let n=0;n0&&(s.userData=this.userData),s.layers=this.layers.mask,s.matrix=this.matrix.toArray(),s.up=this.up.toArray(),this.matrixAutoUpdate===!1&&(s.matrixAutoUpdate=!1),this.isInstancedMesh&&(s.type="InstancedMesh",s.count=this.count,s.instanceMatrix=this.instanceMatrix.toJSON(),this.instanceColor!==null&&(s.instanceColor=this.instanceColor.toJSON())),this.isBatchedMesh&&(s.type="BatchedMesh",s.perObjectFrustumCulled=this.perObjectFrustumCulled,s.sortObjects=this.sortObjects,s.drawRanges=this._drawRanges,s.reservedRanges=this._reservedRanges,s.geometryInfo=this._geometryInfo.map(h=>({...h,boundingBox:h.boundingBox?h.boundingBox.toJSON():void 0,boundingSphere:h.boundingSphere?h.boundingSphere.toJSON():void 0})),s.instanceInfo=this._instanceInfo.map(h=>({...h})),s.availableInstanceIds=this._availableInstanceIds.slice(),s.availableGeometryIds=this._availableGeometryIds.slice(),s.nextIndexStart=this._nextIndexStart,s.nextVertexStart=this._nextVertexStart,s.geometryCount=this._geometryCount,s.maxInstanceCount=this._maxInstanceCount,s.maxVertexCount=this._maxVertexCount,s.maxIndexCount=this._maxIndexCount,s.geometryInitialized=this._geometryInitialized,s.matricesTexture=this._matricesTexture.toJSON(e),s.indirectTexture=this._indirectTexture.toJSON(e),this._colorsTexture!==null&&(s.colorsTexture=this._colorsTexture.toJSON(e)),this.boundingSphere!==null&&(s.boundingSphere=this.boundingSphere.toJSON()),this.boundingBox!==null&&(s.boundingBox=this.boundingBox.toJSON()));function u(h,m){return h[m.uuid]===void 0&&(h[m.uuid]=m.toJSON(e)),m.uuid}if(this.isScene)this.background&&(this.background.isColor?s.background=this.background.toJSON():this.background.isTexture&&(s.background=this.background.toJSON(e).uuid)),this.environment&&this.environment.isTexture&&this.environment.isRenderTargetTexture!==!0&&(s.environment=this.environment.toJSON(e).uuid);else if(this.isMesh||this.isLine||this.isPoints){s.geometry=u(e.geometries,this.geometry);const h=this.geometry.parameters;if(h!==void 0&&h.shapes!==void 0){const m=h.shapes;if(Array.isArray(m))for(let g=0,_=m.length;g<_;g++){const x=m[g];u(e.shapes,x)}else u(e.shapes,m)}}if(this.isSkinnedMesh&&(s.bindMode=this.bindMode,s.bindMatrix=this.bindMatrix.toArray(),this.skeleton!==void 0&&(u(e.skeletons,this.skeleton),s.skeleton=this.skeleton.uuid)),this.material!==void 0)if(Array.isArray(this.material)){const h=[];for(let m=0,g=this.material.length;m0){s.children=[];for(let h=0;h0){s.animations=[];for(let h=0;h0&&(n.geometries=h),m.length>0&&(n.materials=m),g.length>0&&(n.textures=g),_.length>0&&(n.images=_),x.length>0&&(n.shapes=x),b.length>0&&(n.skeletons=b),M.length>0&&(n.animations=M),A.length>0&&(n.nodes=A)}return n.object=s,n;function f(h){const m=[];for(const g in h){const _=h[g];delete _.metadata,m.push(_)}return m}}clone(e){return new this.constructor().copy(this,e)}copy(e,t=!0){if(this.name=e.name,this.up.copy(e.up),this.position.copy(e.position),this.rotation.order=e.rotation.order,this.quaternion.copy(e.quaternion),this.scale.copy(e.scale),this.matrix.copy(e.matrix),this.matrixWorld.copy(e.matrixWorld),this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrixWorldAutoUpdate=e.matrixWorldAutoUpdate,this.matrixWorldNeedsUpdate=e.matrixWorldNeedsUpdate,this.layers.mask=e.layers.mask,this.visible=e.visible,this.castShadow=e.castShadow,this.receiveShadow=e.receiveShadow,this.frustumCulled=e.frustumCulled,this.renderOrder=e.renderOrder,this.animations=e.animations.slice(),this.userData=JSON.parse(JSON.stringify(e.userData)),t===!0)for(let n=0;n0?s.multiplyScalar(1/Math.sqrt(u)):s.set(0,0,0)}static getBarycoord(e,t,n,s,u){Wr.subVectors(s,t),El.subVectors(n,t),Q_.subVectors(e,t);const f=Wr.dot(Wr),h=Wr.dot(El),m=Wr.dot(Q_),g=El.dot(El),_=El.dot(Q_),x=f*g-h*h;if(x===0)return u.set(0,0,0),null;const b=1/x,M=(g*m-h*_)*b,A=(f*_-h*m)*b;return u.set(1-M-A,A,M)}static containsPoint(e,t,n,s){return this.getBarycoord(e,t,n,s,Tl)===null?!1:Tl.x>=0&&Tl.y>=0&&Tl.x+Tl.y<=1}static getInterpolation(e,t,n,s,u,f,h,m){return this.getBarycoord(e,t,n,s,Tl)===null?(m.x=0,m.y=0,"z"in m&&(m.z=0),"w"in m&&(m.w=0),null):(m.setScalar(0),m.addScaledVector(u,Tl.x),m.addScaledVector(f,Tl.y),m.addScaledVector(h,Tl.z),m)}static getInterpolatedAttribute(e,t,n,s,u,f){return ex.setScalar(0),tx.setScalar(0),nx.setScalar(0),ex.fromBufferAttribute(e,t),tx.fromBufferAttribute(e,n),nx.fromBufferAttribute(e,s),f.setScalar(0),f.addScaledVector(ex,u.x),f.addScaledVector(tx,u.y),f.addScaledVector(nx,u.z),f}static isFrontFacing(e,t,n,s){return Wr.subVectors(n,t),El.subVectors(e,t),Wr.cross(El).dot(s)<0}set(e,t,n){return this.a.copy(e),this.b.copy(t),this.c.copy(n),this}setFromPointsAndIndices(e,t,n,s){return this.a.copy(e[t]),this.b.copy(e[n]),this.c.copy(e[s]),this}setFromAttributeAndIndices(e,t,n,s){return this.a.fromBufferAttribute(e,t),this.b.fromBufferAttribute(e,n),this.c.fromBufferAttribute(e,s),this}clone(){return new this.constructor().copy(this)}copy(e){return this.a.copy(e.a),this.b.copy(e.b),this.c.copy(e.c),this}getArea(){return Wr.subVectors(this.c,this.b),El.subVectors(this.a,this.b),Wr.cross(El).length()*.5}getMidpoint(e){return e.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(e){return Cs.getNormal(this.a,this.b,this.c,e)}getPlane(e){return e.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(e,t){return Cs.getBarycoord(e,this.a,this.b,this.c,t)}getInterpolation(e,t,n,s,u){return Cs.getInterpolation(e,this.a,this.b,this.c,t,n,s,u)}containsPoint(e){return Cs.containsPoint(e,this.a,this.b,this.c)}isFrontFacing(e){return Cs.isFrontFacing(this.a,this.b,this.c,e)}intersectsBox(e){return e.intersectsTriangle(this)}closestPointToPoint(e,t){const n=this.a,s=this.b,u=this.c;let f,h;Eh.subVectors(s,n),Th.subVectors(u,n),K_.subVectors(e,n);const m=Eh.dot(K_),g=Th.dot(K_);if(m<=0&&g<=0)return t.copy(n);J_.subVectors(e,s);const _=Eh.dot(J_),x=Th.dot(J_);if(_>=0&&x<=_)return t.copy(s);const b=m*x-_*g;if(b<=0&&m>=0&&_<=0)return f=m/(m-_),t.copy(n).addScaledVector(Eh,f);$_.subVectors(e,u);const M=Eh.dot($_),A=Th.dot($_);if(A>=0&&M<=A)return t.copy(u);const R=M*g-m*A;if(R<=0&&g>=0&&A<=0)return h=g/(g-A),t.copy(n).addScaledVector(Th,h);const w=_*A-M*x;if(w<=0&&x-_>=0&&M-A>=0)return gM.subVectors(u,s),h=(x-_)/(x-_+(M-A)),t.copy(s).addScaledVector(gM,h);const E=1/(w+R+b);return f=R*E,h=b*E,t.copy(n).addScaledVector(Eh,f).addScaledVector(Th,h)}equals(e){return e.a.equals(this.a)&&e.b.equals(this.b)&&e.c.equals(this.c)}}const HE={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},wu={h:0,s:0,l:0},A0={h:0,s:0,l:0};function ix(r,e,t){return t<0&&(t+=1),t>1&&(t-=1),t<1/6?r+(e-r)*6*t:t<1/2?e:t<2/3?r+(e-r)*6*(2/3-t):r}class yt{constructor(e,t,n){return this.isColor=!0,this.r=1,this.g=1,this.b=1,this.set(e,t,n)}set(e,t,n){if(t===void 0&&n===void 0){const s=e;s&&s.isColor?this.copy(s):typeof s=="number"?this.setHex(s):typeof s=="string"&&this.setStyle(s)}else this.setRGB(e,t,n);return this}setScalar(e){return this.r=e,this.g=e,this.b=e,this}setHex(e,t=Ia){return e=Math.floor(e),this.r=(e>>16&255)/255,this.g=(e>>8&255)/255,this.b=(e&255)/255,Sn.colorSpaceToWorking(this,t),this}setRGB(e,t,n,s=Sn.workingColorSpace){return this.r=e,this.g=t,this.b=n,Sn.colorSpaceToWorking(this,s),this}setHSL(e,t,n,s=Sn.workingColorSpace){if(e=wb(e,1),t=Ht(t,0,1),n=Ht(n,0,1),t===0)this.r=this.g=this.b=n;else{const u=n<=.5?n*(1+t):n+t-n*t,f=2*n-u;this.r=ix(f,u,e+1/3),this.g=ix(f,u,e),this.b=ix(f,u,e-1/3)}return Sn.colorSpaceToWorking(this,s),this}setStyle(e,t=Ia){function n(u){u!==void 0&&parseFloat(u)<1&&ft("Color: Alpha component of "+e+" will be ignored.")}let s;if(s=/^(\w+)\(([^\)]*)\)/.exec(e)){let u;const f=s[1],h=s[2];switch(f){case"rgb":case"rgba":if(u=/^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setRGB(Math.min(255,parseInt(u[1],10))/255,Math.min(255,parseInt(u[2],10))/255,Math.min(255,parseInt(u[3],10))/255,t);if(u=/^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setRGB(Math.min(100,parseInt(u[1],10))/100,Math.min(100,parseInt(u[2],10))/100,Math.min(100,parseInt(u[3],10))/100,t);break;case"hsl":case"hsla":if(u=/^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setHSL(parseFloat(u[1])/360,parseFloat(u[2])/100,parseFloat(u[3])/100,t);break;default:ft("Color: Unknown color model "+e)}}else if(s=/^\#([A-Fa-f\d]+)$/.exec(e)){const u=s[1],f=u.length;if(f===3)return this.setRGB(parseInt(u.charAt(0),16)/15,parseInt(u.charAt(1),16)/15,parseInt(u.charAt(2),16)/15,t);if(f===6)return this.setHex(parseInt(u,16),t);ft("Color: Invalid hex color "+e)}else if(e&&e.length>0)return this.setColorName(e,t);return this}setColorName(e,t=Ia){const n=HE[e.toLowerCase()];return n!==void 0?this.setHex(n,t):ft("Color: Unknown color "+e),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(e){return this.r=e.r,this.g=e.g,this.b=e.b,this}copySRGBToLinear(e){return this.r=Nl(e.r),this.g=Nl(e.g),this.b=Nl(e.b),this}copyLinearToSRGB(e){return this.r=Wh(e.r),this.g=Wh(e.g),this.b=Wh(e.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(e=Ia){return Sn.workingToColorSpace(La.copy(this),e),Math.round(Ht(La.r*255,0,255))*65536+Math.round(Ht(La.g*255,0,255))*256+Math.round(Ht(La.b*255,0,255))}getHexString(e=Ia){return("000000"+this.getHex(e).toString(16)).slice(-6)}getHSL(e,t=Sn.workingColorSpace){Sn.workingToColorSpace(La.copy(this),t);const n=La.r,s=La.g,u=La.b,f=Math.max(n,s,u),h=Math.min(n,s,u);let m,g;const _=(h+f)/2;if(h===f)m=0,g=0;else{const x=f-h;switch(g=_<=.5?x/(f+h):x/(2-f-h),f){case n:m=(s-u)/x+(s0!=e>0&&this.version++,this._alphaTest=e}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(e){if(e!==void 0)for(const t in e){const n=e[t];if(n===void 0){ft(`Material: parameter '${t}' has value of undefined.`);continue}const s=this[t];if(s===void 0){ft(`Material: '${t}' is not a property of THREE.${this.type}.`);continue}s&&s.isColor?s.set(n):s&&s.isVector3&&n&&n.isVector3?s.copy(n):this[t]=n}}toJSON(e){const t=e===void 0||typeof e=="string";t&&(e={textures:{},images:{}});const n={metadata:{version:4.7,type:"Material",generator:"Material.toJSON"}};n.uuid=this.uuid,n.type=this.type,this.name!==""&&(n.name=this.name),this.color&&this.color.isColor&&(n.color=this.color.getHex()),this.roughness!==void 0&&(n.roughness=this.roughness),this.metalness!==void 0&&(n.metalness=this.metalness),this.sheen!==void 0&&(n.sheen=this.sheen),this.sheenColor&&this.sheenColor.isColor&&(n.sheenColor=this.sheenColor.getHex()),this.sheenRoughness!==void 0&&(n.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(n.emissive=this.emissive.getHex()),this.emissiveIntensity!==void 0&&this.emissiveIntensity!==1&&(n.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(n.specular=this.specular.getHex()),this.specularIntensity!==void 0&&(n.specularIntensity=this.specularIntensity),this.specularColor&&this.specularColor.isColor&&(n.specularColor=this.specularColor.getHex()),this.shininess!==void 0&&(n.shininess=this.shininess),this.clearcoat!==void 0&&(n.clearcoat=this.clearcoat),this.clearcoatRoughness!==void 0&&(n.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(n.clearcoatMap=this.clearcoatMap.toJSON(e).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(n.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(e).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(n.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(e).uuid,n.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.sheenColorMap&&this.sheenColorMap.isTexture&&(n.sheenColorMap=this.sheenColorMap.toJSON(e).uuid),this.sheenRoughnessMap&&this.sheenRoughnessMap.isTexture&&(n.sheenRoughnessMap=this.sheenRoughnessMap.toJSON(e).uuid),this.dispersion!==void 0&&(n.dispersion=this.dispersion),this.iridescence!==void 0&&(n.iridescence=this.iridescence),this.iridescenceIOR!==void 0&&(n.iridescenceIOR=this.iridescenceIOR),this.iridescenceThicknessRange!==void 0&&(n.iridescenceThicknessRange=this.iridescenceThicknessRange),this.iridescenceMap&&this.iridescenceMap.isTexture&&(n.iridescenceMap=this.iridescenceMap.toJSON(e).uuid),this.iridescenceThicknessMap&&this.iridescenceThicknessMap.isTexture&&(n.iridescenceThicknessMap=this.iridescenceThicknessMap.toJSON(e).uuid),this.anisotropy!==void 0&&(n.anisotropy=this.anisotropy),this.anisotropyRotation!==void 0&&(n.anisotropyRotation=this.anisotropyRotation),this.anisotropyMap&&this.anisotropyMap.isTexture&&(n.anisotropyMap=this.anisotropyMap.toJSON(e).uuid),this.map&&this.map.isTexture&&(n.map=this.map.toJSON(e).uuid),this.matcap&&this.matcap.isTexture&&(n.matcap=this.matcap.toJSON(e).uuid),this.alphaMap&&this.alphaMap.isTexture&&(n.alphaMap=this.alphaMap.toJSON(e).uuid),this.lightMap&&this.lightMap.isTexture&&(n.lightMap=this.lightMap.toJSON(e).uuid,n.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(n.aoMap=this.aoMap.toJSON(e).uuid,n.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(n.bumpMap=this.bumpMap.toJSON(e).uuid,n.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(n.normalMap=this.normalMap.toJSON(e).uuid,n.normalMapType=this.normalMapType,n.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(n.displacementMap=this.displacementMap.toJSON(e).uuid,n.displacementScale=this.displacementScale,n.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(n.roughnessMap=this.roughnessMap.toJSON(e).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(n.metalnessMap=this.metalnessMap.toJSON(e).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(n.emissiveMap=this.emissiveMap.toJSON(e).uuid),this.specularMap&&this.specularMap.isTexture&&(n.specularMap=this.specularMap.toJSON(e).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(n.specularIntensityMap=this.specularIntensityMap.toJSON(e).uuid),this.specularColorMap&&this.specularColorMap.isTexture&&(n.specularColorMap=this.specularColorMap.toJSON(e).uuid),this.envMap&&this.envMap.isTexture&&(n.envMap=this.envMap.toJSON(e).uuid,this.combine!==void 0&&(n.combine=this.combine)),this.envMapRotation!==void 0&&(n.envMapRotation=this.envMapRotation.toArray()),this.envMapIntensity!==void 0&&(n.envMapIntensity=this.envMapIntensity),this.reflectivity!==void 0&&(n.reflectivity=this.reflectivity),this.refractionRatio!==void 0&&(n.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(n.gradientMap=this.gradientMap.toJSON(e).uuid),this.transmission!==void 0&&(n.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(n.transmissionMap=this.transmissionMap.toJSON(e).uuid),this.thickness!==void 0&&(n.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(n.thicknessMap=this.thicknessMap.toJSON(e).uuid),this.attenuationDistance!==void 0&&this.attenuationDistance!==1/0&&(n.attenuationDistance=this.attenuationDistance),this.attenuationColor!==void 0&&(n.attenuationColor=this.attenuationColor.getHex()),this.size!==void 0&&(n.size=this.size),this.shadowSide!==null&&(n.shadowSide=this.shadowSide),this.sizeAttenuation!==void 0&&(n.sizeAttenuation=this.sizeAttenuation),this.blending!==Kc&&(n.blending=this.blending),this.side!==Ll&&(n.side=this.side),this.vertexColors===!0&&(n.vertexColors=!0),this.opacity<1&&(n.opacity=this.opacity),this.transparent===!0&&(n.transparent=!0),this.blendSrc!==vv&&(n.blendSrc=this.blendSrc),this.blendDst!==yv&&(n.blendDst=this.blendDst),this.blendEquation!==Du&&(n.blendEquation=this.blendEquation),this.blendSrcAlpha!==null&&(n.blendSrcAlpha=this.blendSrcAlpha),this.blendDstAlpha!==null&&(n.blendDstAlpha=this.blendDstAlpha),this.blendEquationAlpha!==null&&(n.blendEquationAlpha=this.blendEquationAlpha),this.blendColor&&this.blendColor.isColor&&(n.blendColor=this.blendColor.getHex()),this.blendAlpha!==0&&(n.blendAlpha=this.blendAlpha),this.depthFunc!==ef&&(n.depthFunc=this.depthFunc),this.depthTest===!1&&(n.depthTest=this.depthTest),this.depthWrite===!1&&(n.depthWrite=this.depthWrite),this.colorWrite===!1&&(n.colorWrite=this.colorWrite),this.stencilWriteMask!==255&&(n.stencilWriteMask=this.stencilWriteMask),this.stencilFunc!==qx&&(n.stencilFunc=this.stencilFunc),this.stencilRef!==0&&(n.stencilRef=this.stencilRef),this.stencilFuncMask!==255&&(n.stencilFuncMask=this.stencilFuncMask),this.stencilFail!==Wc&&(n.stencilFail=this.stencilFail),this.stencilZFail!==Wc&&(n.stencilZFail=this.stencilZFail),this.stencilZPass!==Wc&&(n.stencilZPass=this.stencilZPass),this.stencilWrite===!0&&(n.stencilWrite=this.stencilWrite),this.rotation!==void 0&&this.rotation!==0&&(n.rotation=this.rotation),this.polygonOffset===!0&&(n.polygonOffset=!0),this.polygonOffsetFactor!==0&&(n.polygonOffsetFactor=this.polygonOffsetFactor),this.polygonOffsetUnits!==0&&(n.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth!==void 0&&this.linewidth!==1&&(n.linewidth=this.linewidth),this.dashSize!==void 0&&(n.dashSize=this.dashSize),this.gapSize!==void 0&&(n.gapSize=this.gapSize),this.scale!==void 0&&(n.scale=this.scale),this.dithering===!0&&(n.dithering=!0),this.alphaTest>0&&(n.alphaTest=this.alphaTest),this.alphaHash===!0&&(n.alphaHash=!0),this.alphaToCoverage===!0&&(n.alphaToCoverage=!0),this.premultipliedAlpha===!0&&(n.premultipliedAlpha=!0),this.forceSinglePass===!0&&(n.forceSinglePass=!0),this.allowOverride===!1&&(n.allowOverride=!1),this.wireframe===!0&&(n.wireframe=!0),this.wireframeLinewidth>1&&(n.wireframeLinewidth=this.wireframeLinewidth),this.wireframeLinecap!=="round"&&(n.wireframeLinecap=this.wireframeLinecap),this.wireframeLinejoin!=="round"&&(n.wireframeLinejoin=this.wireframeLinejoin),this.flatShading===!0&&(n.flatShading=!0),this.visible===!1&&(n.visible=!1),this.toneMapped===!1&&(n.toneMapped=!1),this.fog===!1&&(n.fog=!1),Object.keys(this.userData).length>0&&(n.userData=this.userData);function s(u){const f=[];for(const h in u){const m=u[h];delete m.metadata,f.push(m)}return f}if(t){const u=s(e.textures),f=s(e.images);u.length>0&&(n.textures=u),f.length>0&&(n.images=f)}return n}clone(){return new this.constructor().copy(this)}copy(e){this.name=e.name,this.blending=e.blending,this.side=e.side,this.vertexColors=e.vertexColors,this.opacity=e.opacity,this.transparent=e.transparent,this.blendSrc=e.blendSrc,this.blendDst=e.blendDst,this.blendEquation=e.blendEquation,this.blendSrcAlpha=e.blendSrcAlpha,this.blendDstAlpha=e.blendDstAlpha,this.blendEquationAlpha=e.blendEquationAlpha,this.blendColor.copy(e.blendColor),this.blendAlpha=e.blendAlpha,this.depthFunc=e.depthFunc,this.depthTest=e.depthTest,this.depthWrite=e.depthWrite,this.stencilWriteMask=e.stencilWriteMask,this.stencilFunc=e.stencilFunc,this.stencilRef=e.stencilRef,this.stencilFuncMask=e.stencilFuncMask,this.stencilFail=e.stencilFail,this.stencilZFail=e.stencilZFail,this.stencilZPass=e.stencilZPass,this.stencilWrite=e.stencilWrite;const t=e.clippingPlanes;let n=null;if(t!==null){const s=t.length;n=new Array(s);for(let u=0;u!==s;++u)n[u]=t[u].clone()}return this.clippingPlanes=n,this.clipIntersection=e.clipIntersection,this.clipShadows=e.clipShadows,this.shadowSide=e.shadowSide,this.colorWrite=e.colorWrite,this.precision=e.precision,this.polygonOffset=e.polygonOffset,this.polygonOffsetFactor=e.polygonOffsetFactor,this.polygonOffsetUnits=e.polygonOffsetUnits,this.dithering=e.dithering,this.alphaTest=e.alphaTest,this.alphaHash=e.alphaHash,this.alphaToCoverage=e.alphaToCoverage,this.premultipliedAlpha=e.premultipliedAlpha,this.forceSinglePass=e.forceSinglePass,this.allowOverride=e.allowOverride,this.visible=e.visible,this.toneMapped=e.toneMapped,this.userData=JSON.parse(JSON.stringify(e.userData)),this}dispose(){this.dispatchEvent({type:"dispose"})}set needsUpdate(e){e===!0&&this.version++}}class Vu extends Ba{constructor(e){super(),this.isMeshBasicMaterial=!0,this.type="MeshBasicMaterial",this.color=new yt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}const Rl=MR();function MR(){const r=new ArrayBuffer(4),e=new Float32Array(r),t=new Uint32Array(r),n=new Uint32Array(512),s=new Uint32Array(512);for(let m=0;m<256;++m){const g=m-127;g<-27?(n[m]=0,n[m|256]=32768,s[m]=24,s[m|256]=24):g<-14?(n[m]=1024>>-g-14,n[m|256]=1024>>-g-14|32768,s[m]=-g-1,s[m|256]=-g-1):g<=15?(n[m]=g+15<<10,n[m|256]=g+15<<10|32768,s[m]=13,s[m|256]=13):g<128?(n[m]=31744,n[m|256]=64512,s[m]=24,s[m|256]=24):(n[m]=31744,n[m|256]=64512,s[m]=13,s[m|256]=13)}const u=new Uint32Array(2048),f=new Uint32Array(64),h=new Uint32Array(64);for(let m=1;m<1024;++m){let g=m<<13,_=0;for(;(g&8388608)===0;)g<<=1,_-=8388608;g&=-8388609,_+=947912704,u[m]=g|_}for(let m=1024;m<2048;++m)u[m]=939524096+(m-1024<<13);for(let m=1;m<31;++m)f[m]=m<<23;f[31]=1199570944,f[32]=2147483648;for(let m=33;m<63;++m)f[m]=2147483648+(m-32<<23);f[63]=3347054592;for(let m=1;m<64;++m)m!==32&&(h[m]=1024);return{floatView:e,uint32View:t,baseTable:n,shiftTable:s,mantissaTable:u,exponentTable:f,offsetTable:h}}function As(r){Math.abs(r)>65504&&ft("DataUtils.toHalfFloat(): Value out of range."),r=Ht(r,-65504,65504),Rl.floatView[0]=r;const e=Rl.uint32View[0],t=e>>23&511;return Rl.baseTable[t]+((e&8388607)>>Rl.shiftTable[t])}function Yp(r){const e=r>>10;return Rl.uint32View[0]=Rl.mantissaTable[Rl.offsetTable[e]+(r&1023)]+Rl.exponentTable[e],Rl.floatView[0]}class ER{static toHalfFloat(e){return As(e)}static fromHalfFloat(e){return Yp(e)}}const ji=new j,w0=new ze;let TR=0;class Xn{constructor(e,t,n=!1){if(Array.isArray(e))throw new TypeError("THREE.BufferAttribute: array should be a Typed Array.");this.isBufferAttribute=!0,Object.defineProperty(this,"id",{value:TR++}),this.name="",this.array=e,this.itemSize=t,this.count=e!==void 0?e.length/t:0,this.normalized=n,this.usage=pm,this.updateRanges=[],this.gpuType=is,this.version=0}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.name=e.name,this.array=new e.array.constructor(e.array),this.itemSize=e.itemSize,this.count=e.count,this.normalized=e.normalized,this.usage=e.usage,this.gpuType=e.gpuType,this}copyAt(e,t,n){e*=this.itemSize,n*=t.itemSize;for(let s=0,u=this.itemSize;st.count&&ft("BufferGeometry: Buffer size too small for points data. Use .dispose() and create a new geometry."),t.needsUpdate=!0}return this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new za);const e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){Rt("BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box.",this),this.boundingBox.set(new j(-1/0,-1/0,-1/0),new j(1/0,1/0,1/0));return}if(e!==void 0){if(this.boundingBox.setFromBufferAttribute(e),t)for(let n=0,s=t.length;n0&&(e.userData=this.userData),this.parameters!==void 0){const m=this.parameters;for(const g in m)m[g]!==void 0&&(e[g]=m[g]);return e}e.data={attributes:{}};const t=this.index;t!==null&&(e.data.index={type:t.array.constructor.name,array:Array.prototype.slice.call(t.array)});const n=this.attributes;for(const m in n){const g=n[m];e.data.attributes[m]=g.toJSON(e.data)}const s={};let u=!1;for(const m in this.morphAttributes){const g=this.morphAttributes[m],_=[];for(let x=0,b=g.length;x0&&(s[m]=_,u=!0)}u&&(e.data.morphAttributes=s,e.data.morphTargetsRelative=this.morphTargetsRelative);const f=this.groups;f.length>0&&(e.data.groups=JSON.parse(JSON.stringify(f)));const h=this.boundingSphere;return h!==null&&(e.data.boundingSphere=h.toJSON()),e}clone(){return new this.constructor().copy(this)}copy(e){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const t={};this.name=e.name;const n=e.index;n!==null&&this.setIndex(n.clone());const s=e.attributes;for(const g in s){const _=s[g];this.setAttribute(g,_.clone(t))}const u=e.morphAttributes;for(const g in u){const _=[],x=u[g];for(let b=0,M=x.length;b0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;u(e.far-e.near)**2))&&(vM.copy(u).invert(),Dc.copy(e.ray).applyMatrix4(vM),!(n.boundingBox!==null&&Dc.intersectsBox(n.boundingBox)===!1)&&this._computeIntersections(e,t,Dc)))}_computeIntersections(e,t,n){let s;const u=this.geometry,f=this.material,h=u.index,m=u.attributes.position,g=u.attributes.uv,_=u.attributes.uv1,x=u.attributes.normal,b=u.groups,M=u.drawRange;if(h!==null)if(Array.isArray(f))for(let A=0,R=b.length;At.far?null:{distance:g,point:U0.clone(),object:r}}function I0(r,e,t,n,s,u,f,h,m,g){r.getVertexPosition(h,R0),r.getVertexPosition(m,N0),r.getVertexPosition(g,D0);const _=UR(r,e,t,n,R0,N0,D0,_M);if(_){const x=new j;Cs.getBarycoord(_M,R0,N0,D0,x),s&&(_.uv=Cs.getInterpolatedAttribute(s,h,m,g,x,new ze)),u&&(_.uv1=Cs.getInterpolatedAttribute(u,h,m,g,x,new ze)),f&&(_.normal=Cs.getInterpolatedAttribute(f,h,m,g,x,new j),_.normal.dot(n.direction)>0&&_.normal.multiplyScalar(-1));const b={a:h,b:m,c:g,normal:new j,materialIndex:0};Cs.getNormal(R0,N0,D0,b.normal),_.face=b,_.barycoord=x}return _}class lf extends Kt{constructor(e=1,t=1,n=1,s=1,u=1,f=1){super(),this.type="BoxGeometry",this.parameters={width:e,height:t,depth:n,widthSegments:s,heightSegments:u,depthSegments:f};const h=this;s=Math.floor(s),u=Math.floor(u),f=Math.floor(f);const m=[],g=[],_=[],x=[];let b=0,M=0;A("z","y","x",-1,-1,n,t,e,f,u,0),A("z","y","x",1,-1,n,t,-e,f,u,1),A("x","z","y",1,1,e,n,t,s,f,2),A("x","z","y",1,-1,e,n,-t,s,f,3),A("x","y","z",1,-1,e,t,n,s,u,4),A("x","y","z",-1,-1,e,t,-n,s,u,5),this.setIndex(m),this.setAttribute("position",new bt(g,3)),this.setAttribute("normal",new bt(_,3)),this.setAttribute("uv",new bt(x,2));function A(R,w,E,N,D,U,B,z,H,W,I){const P=U/H,Z=B/W,se=U/2,te=B/2,fe=z/2,pe=H+1,Y=W+1;let q=0,ne=0;const be=new j;for(let Ne=0;Ne0?1:-1,_.push(be.x,be.y,be.z),x.push(oe/H),x.push(1-Ne/W),q+=1}}for(let Ne=0;Ne0&&(t.defines=this.defines),t.vertexShader=this.vertexShader,t.fragmentShader=this.fragmentShader,t.lights=this.lights,t.clipping=this.clipping;const n={};for(const s in this.extensions)this.extensions[s]===!0&&(n[s]=!0);return Object.keys(n).length>0&&(t.extensions=n),t}}class Ry extends Cn{constructor(){super(),this.isCamera=!0,this.type="Camera",this.matrixWorldInverse=new Xt,this.projectionMatrix=new Xt,this.projectionMatrixInverse=new Xt,this.coordinateSystem=ks,this._reversedDepth=!1}get reversedDepth(){return this._reversedDepth}copy(e,t){return super.copy(e,t),this.matrixWorldInverse.copy(e.matrixWorldInverse),this.projectionMatrix.copy(e.projectionMatrix),this.projectionMatrixInverse.copy(e.projectionMatrixInverse),this.coordinateSystem=e.coordinateSystem,this}getWorldDirection(e){return super.getWorldDirection(e).negate()}updateMatrixWorld(e){super.updateMatrixWorld(e),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(e,t){super.updateWorldMatrix(e,t),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return new this.constructor().copy(this)}}const Cu=new j,xM=new ze,bM=new ze;class zi extends Ry{constructor(e=50,t=1,n=.1,s=2e3){super(),this.isPerspectiveCamera=!0,this.type="PerspectiveCamera",this.fov=e,this.zoom=1,this.near=n,this.far=s,this.focus=10,this.aspect=t,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.fov=e.fov,this.zoom=e.zoom,this.near=e.near,this.far=e.far,this.focus=e.focus,this.aspect=e.aspect,this.view=e.view===null?null:Object.assign({},e.view),this.filmGauge=e.filmGauge,this.filmOffset=e.filmOffset,this}setFocalLength(e){const t=.5*this.getFilmHeight()/e;this.fov=Qh*2*Math.atan(t),this.updateProjectionMatrix()}getFocalLength(){const e=Math.tan(Jc*.5*this.fov);return .5*this.getFilmHeight()/e}getEffectiveFOV(){return Qh*2*Math.atan(Math.tan(Jc*.5*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}getViewBounds(e,t,n){Cu.set(-1,-1,.5).applyMatrix4(this.projectionMatrixInverse),t.set(Cu.x,Cu.y).multiplyScalar(-e/Cu.z),Cu.set(1,1,.5).applyMatrix4(this.projectionMatrixInverse),n.set(Cu.x,Cu.y).multiplyScalar(-e/Cu.z)}getViewSize(e,t){return this.getViewBounds(e,xM,bM),t.subVectors(bM,xM)}setViewOffset(e,t,n,s,u,f){this.aspect=e/t,this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=n,this.view.offsetY=s,this.view.width=u,this.view.height=f,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const e=this.near;let t=e*Math.tan(Jc*.5*this.fov)/this.zoom,n=2*t,s=this.aspect*n,u=-.5*s;const f=this.view;if(this.view!==null&&this.view.enabled){const m=f.fullWidth,g=f.fullHeight;u+=f.offsetX*s/m,t-=f.offsetY*n/g,s*=f.width/m,n*=f.height/g}const h=this.filmOffset;h!==0&&(u+=e*h/this.getFilmWidth()),this.projectionMatrix.makePerspective(u,u+s,t,t-n,e,this.far,this.coordinateSystem,this.reversedDepth),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){const t=super.toJSON(e);return t.object.fov=this.fov,t.object.zoom=this.zoom,t.object.near=this.near,t.object.far=this.far,t.object.focus=this.focus,t.object.aspect=this.aspect,this.view!==null&&(t.object.view=Object.assign({},this.view)),t.object.filmGauge=this.filmGauge,t.object.filmOffset=this.filmOffset,t}}const wh=-90,Ch=1;class WE extends Cn{constructor(e,t,n){super(),this.type="CubeCamera",this.renderTarget=n,this.coordinateSystem=null,this.activeMipmapLevel=0;const s=new zi(wh,Ch,e,t);s.layers=this.layers,this.add(s);const u=new zi(wh,Ch,e,t);u.layers=this.layers,this.add(u);const f=new zi(wh,Ch,e,t);f.layers=this.layers,this.add(f);const h=new zi(wh,Ch,e,t);h.layers=this.layers,this.add(h);const m=new zi(wh,Ch,e,t);m.layers=this.layers,this.add(m);const g=new zi(wh,Ch,e,t);g.layers=this.layers,this.add(g)}updateCoordinateSystem(){const e=this.coordinateSystem,t=this.children.concat(),[n,s,u,f,h,m]=t;for(const g of t)this.remove(g);if(e===ks)n.up.set(0,1,0),n.lookAt(1,0,0),s.up.set(0,1,0),s.lookAt(-1,0,0),u.up.set(0,0,-1),u.lookAt(0,1,0),f.up.set(0,0,1),f.lookAt(0,-1,0),h.up.set(0,1,0),h.lookAt(0,0,1),m.up.set(0,1,0),m.lookAt(0,0,-1);else if(e===Yh)n.up.set(0,-1,0),n.lookAt(-1,0,0),s.up.set(0,-1,0),s.lookAt(1,0,0),u.up.set(0,0,1),u.lookAt(0,1,0),f.up.set(0,0,-1),f.lookAt(0,-1,0),h.up.set(0,-1,0),h.lookAt(0,0,1),m.up.set(0,-1,0),m.lookAt(0,0,-1);else throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: "+e);for(const g of t)this.add(g),g.updateMatrixWorld()}update(e,t){this.parent===null&&this.updateMatrixWorld();const{renderTarget:n,activeMipmapLevel:s}=this;this.coordinateSystem!==e.coordinateSystem&&(this.coordinateSystem=e.coordinateSystem,this.updateCoordinateSystem());const[u,f,h,m,g,_]=this.children,x=e.getRenderTarget(),b=e.getActiveCubeFace(),M=e.getActiveMipmapLevel(),A=e.xr.enabled;e.xr.enabled=!1;const R=n.texture.generateMipmaps;n.texture.generateMipmaps=!1,e.setRenderTarget(n,0,s),e.render(t,u),e.setRenderTarget(n,1,s),e.render(t,f),e.setRenderTarget(n,2,s),e.render(t,h),e.setRenderTarget(n,3,s),e.render(t,m),e.setRenderTarget(n,4,s),e.render(t,g),n.texture.generateMipmaps=R,e.setRenderTarget(n,5,s),e.render(t,_),e.setRenderTarget(x,b,M),e.xr.enabled=A,n.texture.needsPMREMUpdate=!0}}class Cm extends wi{constructor(e=[],t=zo,n,s,u,f,h,m,g,_){super(e,t,n,s,u,f,h,m,g,_),this.isCubeTexture=!0,this.flipY=!1}get images(){return this.image}set images(e){this.image=e}}class Db extends Hs{constructor(e=1,t={}){super(e,e,t),this.isWebGLCubeRenderTarget=!0;const n={width:e,height:e,depth:1},s=[n,n,n,n,n,n];this.texture=new Cm(s),this._setTextureOptions(t),this.texture.isRenderTargetTexture=!0}fromEquirectangularTexture(e,t){this.texture.type=t.type,this.texture.colorSpace=t.colorSpace,this.texture.generateMipmaps=t.generateMipmaps,this.texture.minFilter=t.minFilter,this.texture.magFilter=t.magFilter;const n={uniforms:{tEquirect:{value:null}},vertexShader:` + + varying vec3 vWorldDirection; + + vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); + + } + + void main() { + + vWorldDirection = transformDirection( position, modelMatrix ); + + #include + #include + + } + `,fragmentShader:` + + uniform sampler2D tEquirect; + + varying vec3 vWorldDirection; + + #include + + void main() { + + vec3 direction = normalize( vWorldDirection ); + + vec2 sampleUV = equirectUv( direction ); + + gl_FragColor = texture2D( tEquirect, sampleUV ); + + } + `},s=new lf(5,5,5),u=new yr({name:"CubemapFromEquirect",uniforms:Jh(n.uniforms),vertexShader:n.vertexShader,fragmentShader:n.fragmentShader,side:as,blending:Po});u.uniforms.tEquirect.value=t;const f=new Yi(s,u),h=t.minFilter;return t.minFilter===Io&&(t.minFilter=oi),new WE(1,10,this).update(e,f),t.minFilter=h,f.geometry.dispose(),f.material.dispose(),this}clear(e,t=!0,n=!0,s=!0){const u=e.getRenderTarget();for(let f=0;f<6;f++)e.setRenderTarget(this,f),e.clear(t,n,s);e.setRenderTarget(u)}}class Gh extends Cn{constructor(){super(),this.isGroup=!0,this.type="Group"}}const zR={type:"move"};class pv{constructor(){this._targetRay=null,this._grip=null,this._hand=null}getHandSpace(){return this._hand===null&&(this._hand=new Gh,this._hand.matrixAutoUpdate=!1,this._hand.visible=!1,this._hand.joints={},this._hand.inputState={pinching:!1}),this._hand}getTargetRaySpace(){return this._targetRay===null&&(this._targetRay=new Gh,this._targetRay.matrixAutoUpdate=!1,this._targetRay.visible=!1,this._targetRay.hasLinearVelocity=!1,this._targetRay.linearVelocity=new j,this._targetRay.hasAngularVelocity=!1,this._targetRay.angularVelocity=new j),this._targetRay}getGripSpace(){return this._grip===null&&(this._grip=new Gh,this._grip.matrixAutoUpdate=!1,this._grip.visible=!1,this._grip.hasLinearVelocity=!1,this._grip.linearVelocity=new j,this._grip.hasAngularVelocity=!1,this._grip.angularVelocity=new j),this._grip}dispatchEvent(e){return this._targetRay!==null&&this._targetRay.dispatchEvent(e),this._grip!==null&&this._grip.dispatchEvent(e),this._hand!==null&&this._hand.dispatchEvent(e),this}connect(e){if(e&&e.hand){const t=this._hand;if(t)for(const n of e.hand.values())this._getHandJoint(t,n)}return this.dispatchEvent({type:"connected",data:e}),this}disconnect(e){return this.dispatchEvent({type:"disconnected",data:e}),this._targetRay!==null&&(this._targetRay.visible=!1),this._grip!==null&&(this._grip.visible=!1),this._hand!==null&&(this._hand.visible=!1),this}update(e,t,n){let s=null,u=null,f=null;const h=this._targetRay,m=this._grip,g=this._hand;if(e&&t.session.visibilityState!=="visible-blurred"){if(g&&e.hand){f=!0;for(const R of e.hand.values()){const w=t.getJointPose(R,n),E=this._getHandJoint(g,R);w!==null&&(E.matrix.fromArray(w.transform.matrix),E.matrix.decompose(E.position,E.rotation,E.scale),E.matrixWorldNeedsUpdate=!0,E.jointRadius=w.radius),E.visible=w!==null}const _=g.joints["index-finger-tip"],x=g.joints["thumb-tip"],b=_.position.distanceTo(x.position),M=.02,A=.005;g.inputState.pinching&&b>M+A?(g.inputState.pinching=!1,this.dispatchEvent({type:"pinchend",handedness:e.handedness,target:this})):!g.inputState.pinching&&b<=M-A&&(g.inputState.pinching=!0,this.dispatchEvent({type:"pinchstart",handedness:e.handedness,target:this}))}else m!==null&&e.gripSpace&&(u=t.getPose(e.gripSpace,n),u!==null&&(m.matrix.fromArray(u.transform.matrix),m.matrix.decompose(m.position,m.rotation,m.scale),m.matrixWorldNeedsUpdate=!0,u.linearVelocity?(m.hasLinearVelocity=!0,m.linearVelocity.copy(u.linearVelocity)):m.hasLinearVelocity=!1,u.angularVelocity?(m.hasAngularVelocity=!0,m.angularVelocity.copy(u.angularVelocity)):m.hasAngularVelocity=!1));h!==null&&(s=t.getPose(e.targetRaySpace,n),s===null&&u!==null&&(s=u),s!==null&&(h.matrix.fromArray(s.transform.matrix),h.matrix.decompose(h.position,h.rotation,h.scale),h.matrixWorldNeedsUpdate=!0,s.linearVelocity?(h.hasLinearVelocity=!0,h.linearVelocity.copy(s.linearVelocity)):h.hasLinearVelocity=!1,s.angularVelocity?(h.hasAngularVelocity=!0,h.angularVelocity.copy(s.angularVelocity)):h.hasAngularVelocity=!1,this.dispatchEvent(zR)))}return h!==null&&(h.visible=s!==null),m!==null&&(m.visible=u!==null),g!==null&&(g.visible=f!==null),this}_getHandJoint(e,t){if(e.joints[t.jointName]===void 0){const n=new Gh;n.matrixAutoUpdate=!1,n.visible=!1,e.joints[t.jointName]=n,e.add(n)}return e.joints[t.jointName]}}class Ny{constructor(e,t=25e-5){this.isFogExp2=!0,this.name="",this.color=new yt(e),this.density=t}clone(){return new Ny(this.color,this.density)}toJSON(){return{type:"FogExp2",name:this.name,color:this.color.getHex(),density:this.density}}}class Dy{constructor(e,t=1,n=1e3){this.isFog=!0,this.name="",this.color=new yt(e),this.near=t,this.far=n}clone(){return new Dy(this.color,this.near,this.far)}toJSON(){return{type:"Fog",name:this.name,color:this.color.getHex(),near:this.near,far:this.far}}}class Lb extends Cn{constructor(){super(),this.isScene=!0,this.type="Scene",this.background=null,this.environment=null,this.fog=null,this.backgroundBlurriness=0,this.backgroundIntensity=1,this.backgroundRotation=new Gs,this.environmentIntensity=1,this.environmentRotation=new Gs,this.overrideMaterial=null,typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}copy(e,t){return super.copy(e,t),e.background!==null&&(this.background=e.background.clone()),e.environment!==null&&(this.environment=e.environment.clone()),e.fog!==null&&(this.fog=e.fog.clone()),this.backgroundBlurriness=e.backgroundBlurriness,this.backgroundIntensity=e.backgroundIntensity,this.backgroundRotation.copy(e.backgroundRotation),this.environmentIntensity=e.environmentIntensity,this.environmentRotation.copy(e.environmentRotation),e.overrideMaterial!==null&&(this.overrideMaterial=e.overrideMaterial.clone()),this.matrixAutoUpdate=e.matrixAutoUpdate,this}toJSON(e){const t=super.toJSON(e);return this.fog!==null&&(t.object.fog=this.fog.toJSON()),this.backgroundBlurriness>0&&(t.object.backgroundBlurriness=this.backgroundBlurriness),this.backgroundIntensity!==1&&(t.object.backgroundIntensity=this.backgroundIntensity),t.object.backgroundRotation=this.backgroundRotation.toArray(),this.environmentIntensity!==1&&(t.object.environmentIntensity=this.environmentIntensity),t.object.environmentRotation=this.environmentRotation.toArray(),t}}class Ly{constructor(e,t){this.isInterleavedBuffer=!0,this.array=e,this.stride=t,this.count=e!==void 0?e.length/t:0,this.usage=pm,this.updateRanges=[],this.version=0,this.uuid=Vs()}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.array=new e.array.constructor(e.array),this.count=e.count,this.stride=e.stride,this.usage=e.usage,this}copyAt(e,t,n){e*=this.stride,n*=t.stride;for(let s=0,u=this.stride;se.far||t.push({distance:m,point:Bp.clone(),uv:Cs.getInterpolation(Bp,O0,kp,P0,SM,rx,MM,new ze),face:null,object:this})}copy(e,t){return super.copy(e,t),e.center!==void 0&&this.center.copy(e.center),this.material=e.material,this}}function z0(r,e,t,n,s,u){Lh.subVectors(r,t).addScalar(.5).multiply(n),s!==void 0?(Fp.x=u*Lh.x-s*Lh.y,Fp.y=s*Lh.x+u*Lh.y):Fp.copy(Lh),r.copy(e),r.x+=Fp.x,r.y+=Fp.y,r.applyMatrix4(qE)}const B0=new j,EM=new j;class YE extends Cn{constructor(){super(),this.isLOD=!0,this._currentLevel=0,this.type="LOD",Object.defineProperties(this,{levels:{enumerable:!0,value:[]}}),this.autoUpdate=!0}copy(e){super.copy(e,!1);const t=e.levels;for(let n=0,s=t.length;n0){let n,s;for(n=1,s=t.length;n0){B0.setFromMatrixPosition(this.matrixWorld);const s=e.ray.origin.distanceTo(B0);this.getObjectForDistance(s).raycast(e,t)}}update(e){const t=this.levels;if(t.length>1){B0.setFromMatrixPosition(e.matrixWorld),EM.setFromMatrixPosition(this.matrixWorld);const n=B0.distanceTo(EM)/e.zoom;t[0].object.visible=!0;let s,u;for(s=1,u=t.length;s=f)t[s-1].object.visible=!1,t[s].object.visible=!0;else break}for(this._currentLevel=s-1;s1?null:t.copy(e.start).addScaledVector(n,u)}intersectsLine(e){const t=this.distanceToPoint(e.start),n=this.distanceToPoint(e.end);return t<0&&n>0||n<0&&t>0}intersectsBox(e){return e.intersectsPlane(this)}intersectsSphere(e){return e.intersectsPlane(this)}coplanarPoint(e){return e.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(e,t){const n=t||HR.getNormalMatrix(e),s=this.coplanarPoint(ux).applyMatrix4(e),u=this.normal.applyMatrix3(n).normalize();return this.constant=-s.dot(u),this}translate(e){return this.constant-=e.dot(this.normal),this}equals(e){return e.normal.equals(this.normal)&&e.constant===this.constant}clone(){return new this.constructor().copy(this)}}const Lc=new _a,GR=new ze(.5,.5),V0=new j;class ad{constructor(e=new wl,t=new wl,n=new wl,s=new wl,u=new wl,f=new wl){this.planes=[e,t,n,s,u,f]}set(e,t,n,s,u,f){const h=this.planes;return h[0].copy(e),h[1].copy(t),h[2].copy(n),h[3].copy(s),h[4].copy(u),h[5].copy(f),this}copy(e){const t=this.planes;for(let n=0;n<6;n++)t[n].copy(e.planes[n]);return this}setFromProjectionMatrix(e,t=ks,n=!1){const s=this.planes,u=e.elements,f=u[0],h=u[1],m=u[2],g=u[3],_=u[4],x=u[5],b=u[6],M=u[7],A=u[8],R=u[9],w=u[10],E=u[11],N=u[12],D=u[13],U=u[14],B=u[15];if(s[0].setComponents(g-f,M-_,E-A,B-N).normalize(),s[1].setComponents(g+f,M+_,E+A,B+N).normalize(),s[2].setComponents(g+h,M+x,E+R,B+D).normalize(),s[3].setComponents(g-h,M-x,E-R,B-D).normalize(),n)s[4].setComponents(m,b,w,U).normalize(),s[5].setComponents(g-m,M-b,E-w,B-U).normalize();else if(s[4].setComponents(g-m,M-b,E-w,B-U).normalize(),t===ks)s[5].setComponents(g+m,M+b,E+w,B+U).normalize();else if(t===Yh)s[5].setComponents(m,b,w,U).normalize();else throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: "+t);return this}intersectsObject(e){if(e.boundingSphere!==void 0)e.boundingSphere===null&&e.computeBoundingSphere(),Lc.copy(e.boundingSphere).applyMatrix4(e.matrixWorld);else{const t=e.geometry;t.boundingSphere===null&&t.computeBoundingSphere(),Lc.copy(t.boundingSphere).applyMatrix4(e.matrixWorld)}return this.intersectsSphere(Lc)}intersectsSprite(e){Lc.center.set(0,0,0);const t=GR.distanceTo(e.center);return Lc.radius=.7071067811865476+t,Lc.applyMatrix4(e.matrixWorld),this.intersectsSphere(Lc)}intersectsSphere(e){const t=this.planes,n=e.center,s=-e.radius;for(let u=0;u<6;u++)if(t[u].distanceToPoint(n)0?e.max.x:e.min.x,V0.y=s.normal.y>0?e.max.y:e.min.y,V0.z=s.normal.z>0?e.max.z:e.min.z,s.distanceToPoint(V0)<0)return!1}return!0}containsPoint(e){const t=this.planes;for(let n=0;n<6;n++)if(t[n].distanceToPoint(e)<0)return!1;return!0}clone(){return new this.constructor().copy(this)}}const No=new Xt,Do=new ad;class Iy{constructor(){this.coordinateSystem=ks}intersectsObject(e,t){if(!t.isArrayCamera||t.cameras.length===0)return!1;for(let n=0;n=u.length&&u.push({start:-1,count:-1,z:-1,index:-1});const h=u[this.index];f.push(h),this.index++,h.start=e,h.count=t,h.z=n,h.index=s}reset(){this.list.length=0,this.index=0}}const Ts=new Xt,jR=new yt(1,1,1),UM=new ad,YR=new Iy,H0=new za,Uc=new _a,Gp=new j,IM=new j,ZR=new j,fx=new qR,Ua=new Yi,G0=[];function QR(r,e,t=0){const n=e.itemSize;if(r.isInterleavedBufferAttribute||r.array.constructor!==e.array.constructor){const s=r.count;for(let u=0;u65535?new Uint32Array(s):new Uint16Array(s);t.setIndex(new Xn(u,1))}this._geometryInitialized=!0}}_validateGeometry(e){const t=this.geometry;if(!!e.getIndex()!=!!t.getIndex())throw new Error('THREE.BatchedMesh: All geometries must consistently have "index".');for(const n in t.attributes){if(!e.hasAttribute(n))throw new Error(`THREE.BatchedMesh: Added geometry missing "${n}". All geometries must have consistent attributes.`);const s=e.getAttribute(n),u=t.getAttribute(n);if(s.itemSize!==u.itemSize||s.normalized!==u.normalized)throw new Error("THREE.BatchedMesh: All attributes must have a consistent itemSize and normalized value.")}}validateInstanceId(e){const t=this._instanceInfo;if(e<0||e>=t.length||t[e].active===!1)throw new Error(`THREE.BatchedMesh: Invalid instanceId ${e}. Instance is either out of range or has been deleted.`)}validateGeometryId(e){const t=this._geometryInfo;if(e<0||e>=t.length||t[e].active===!1)throw new Error(`THREE.BatchedMesh: Invalid geometryId ${e}. Geometry is either out of range or has been deleted.`)}setCustomSort(e){return this.customSort=e,this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new za);const e=this.boundingBox,t=this._instanceInfo;e.makeEmpty();for(let n=0,s=t.length;n=this.maxInstanceCount&&this._availableInstanceIds.length===0)throw new Error("THREE.BatchedMesh: Maximum item count reached.");const n={visible:!0,active:!0,geometryIndex:e};let s=null;this._availableInstanceIds.length>0?(this._availableInstanceIds.sort(cx),s=this._availableInstanceIds.shift(),this._instanceInfo[s]=n):(s=this._instanceInfo.length,this._instanceInfo.push(n));const u=this._matricesTexture;Ts.identity().toArray(u.image.data,s*16),u.needsUpdate=!0;const f=this._colorsTexture;return f&&(jR.toArray(f.image.data,s*4),f.needsUpdate=!0),this._visibilityChanged=!0,s}addGeometry(e,t=-1,n=-1){this._initializeGeometry(e),this._validateGeometry(e);const s={vertexStart:-1,vertexCount:-1,reservedVertexCount:-1,indexStart:-1,indexCount:-1,reservedIndexCount:-1,start:-1,count:-1,boundingBox:null,boundingSphere:null,active:!0},u=this._geometryInfo;s.vertexStart=this._nextVertexStart,s.reservedVertexCount=t===-1?e.getAttribute("position").count:t;const f=e.getIndex();if(f!==null&&(s.indexStart=this._nextIndexStart,s.reservedIndexCount=n===-1?f.count:n),s.indexStart!==-1&&s.indexStart+s.reservedIndexCount>this._maxIndexCount||s.vertexStart+s.reservedVertexCount>this._maxVertexCount)throw new Error("THREE.BatchedMesh: Reserved space request exceeds the maximum buffer size.");let m;return this._availableGeometryIds.length>0?(this._availableGeometryIds.sort(cx),m=this._availableGeometryIds.shift(),u[m]=s):(m=this._geometryCount,this._geometryCount++,u.push(s)),this.setGeometryAt(m,e),this._nextIndexStart=s.indexStart+s.reservedIndexCount,this._nextVertexStart=s.vertexStart+s.reservedVertexCount,m}setGeometryAt(e,t){if(e>=this._geometryCount)throw new Error("THREE.BatchedMesh: Maximum geometry count reached.");this._validateGeometry(t);const n=this.geometry,s=n.getIndex()!==null,u=n.getIndex(),f=t.getIndex(),h=this._geometryInfo[e];if(s&&f.count>h.reservedIndexCount||t.attributes.position.count>h.reservedVertexCount)throw new Error("THREE.BatchedMesh: Reserved space not large enough for provided geometry.");const m=h.vertexStart,g=h.reservedVertexCount;h.vertexCount=t.getAttribute("position").count;for(const _ in n.attributes){const x=t.getAttribute(_),b=n.getAttribute(_);QR(x,b,m);const M=x.itemSize;for(let A=x.count,R=g;A=t.length||t[e].active===!1)return this;const n=this._instanceInfo;for(let s=0,u=n.length;sh).sort((f,h)=>n[f].vertexStart-n[h].vertexStart),u=this.geometry;for(let f=0,h=n.length;f=this._geometryCount)return null;const n=this.geometry,s=this._geometryInfo[e];if(s.boundingBox===null){const u=new za,f=n.index,h=n.attributes.position;for(let m=s.start,g=s.start+s.count;m=this._geometryCount)return null;const n=this.geometry,s=this._geometryInfo[e];if(s.boundingSphere===null){const u=new _a;this.getBoundingBoxAt(e,H0),H0.getCenter(u.center);const f=n.index,h=n.attributes.position;let m=0;for(let g=s.start,_=s.start+s.count;g<_;g++){let x=g;f&&(x=f.getX(x)),Gp.fromBufferAttribute(h,x),m=Math.max(m,u.center.distanceToSquared(Gp))}u.radius=Math.sqrt(m),s.boundingSphere=u}return t.copy(s.boundingSphere),t}setMatrixAt(e,t){this.validateInstanceId(e);const n=this._matricesTexture,s=this._matricesTexture.image.data;return t.toArray(s,e*16),n.needsUpdate=!0,this}getMatrixAt(e,t){return this.validateInstanceId(e),t.fromArray(this._matricesTexture.image.data,e*16)}setColorAt(e,t){return this.validateInstanceId(e),this._colorsTexture===null&&this._initColorsTexture(),t.toArray(this._colorsTexture.image.data,e*4),this._colorsTexture.needsUpdate=!0,this}getColorAt(e,t){return this.validateInstanceId(e),t.fromArray(this._colorsTexture.image.data,e*4)}setVisibleAt(e,t){return this.validateInstanceId(e),this._instanceInfo[e].visible===t?this:(this._instanceInfo[e].visible=t,this._visibilityChanged=!0,this)}getVisibleAt(e){return this.validateInstanceId(e),this._instanceInfo[e].visible}setGeometryIdAt(e,t){return this.validateInstanceId(e),this.validateGeometryId(t),this._instanceInfo[e].geometryIndex=t,this}getGeometryIdAt(e){return this.validateInstanceId(e),this._instanceInfo[e].geometryIndex}getGeometryRangeAt(e,t={}){this.validateGeometryId(e);const n=this._geometryInfo[e];return t.vertexStart=n.vertexStart,t.vertexCount=n.vertexCount,t.reservedVertexCount=n.reservedVertexCount,t.indexStart=n.indexStart,t.indexCount=n.indexCount,t.reservedIndexCount=n.reservedIndexCount,t.start=n.start,t.count=n.count,t}setInstanceCount(e){const t=this._availableInstanceIds,n=this._instanceInfo;for(t.sort(cx);t[t.length-1]===n.length-1;)n.pop(),t.pop();if(eh.active);if(Math.max(...n.map(h=>h.vertexStart+h.reservedVertexCount))>e)throw new Error(`BatchedMesh: Geometry vertex values are being used outside the range ${t}. Cannot shrink further.`);if(this.geometry.index&&Math.max(...n.map(m=>m.indexStart+m.reservedIndexCount))>t)throw new Error(`BatchedMesh: Geometry index values are being used outside the range ${t}. Cannot shrink further.`);const u=this.geometry;u.dispose(),this._maxVertexCount=e,this._maxIndexCount=t,this._geometryInitialized&&(this._geometryInitialized=!1,this.geometry=new Kt,this._initializeGeometry(u));const f=this.geometry;u.index&&Ic(u.index.array,f.index.array);for(const h in u.attributes)Ic(u.attributes[h].array,f.attributes[h].array)}raycast(e,t){const n=this._instanceInfo,s=this._geometryInfo,u=this.matrixWorld,f=this.geometry;Ua.material=this.material,Ua.geometry.index=f.index,Ua.geometry.attributes=f.attributes,Ua.geometry.boundingBox===null&&(Ua.geometry.boundingBox=new za),Ua.geometry.boundingSphere===null&&(Ua.geometry.boundingSphere=new _a);for(let h=0,m=n.length;h({...t,boundingBox:t.boundingBox!==null?t.boundingBox.clone():null,boundingSphere:t.boundingSphere!==null?t.boundingSphere.clone():null})),this._instanceInfo=e._instanceInfo.map(t=>({...t})),this._availableInstanceIds=e._availableInstanceIds.slice(),this._availableGeometryIds=e._availableGeometryIds.slice(),this._nextIndexStart=e._nextIndexStart,this._nextVertexStart=e._nextVertexStart,this._geometryCount=e._geometryCount,this._maxInstanceCount=e._maxInstanceCount,this._maxVertexCount=e._maxVertexCount,this._maxIndexCount=e._maxIndexCount,this._geometryInitialized=e._geometryInitialized,this._multiDrawCounts=e._multiDrawCounts.slice(),this._multiDrawStarts=e._multiDrawStarts.slice(),this._indirectTexture=e._indirectTexture.clone(),this._indirectTexture.image.data=this._indirectTexture.image.data.slice(),this._matricesTexture=e._matricesTexture.clone(),this._matricesTexture.image.data=this._matricesTexture.image.data.slice(),this._colorsTexture!==null&&(this._colorsTexture=e._colorsTexture.clone(),this._colorsTexture.image.data=this._colorsTexture.image.data.slice()),this}dispose(){this.geometry.dispose(),this._matricesTexture.dispose(),this._matricesTexture=null,this._indirectTexture.dispose(),this._indirectTexture=null,this._colorsTexture!==null&&(this._colorsTexture.dispose(),this._colorsTexture=null)}onBeforeRender(e,t,n,s,u){if(!this._visibilityChanged&&!this.perObjectFrustumCulled&&!this.sortObjects)return;const f=s.getIndex(),h=f===null?1:f.array.BYTES_PER_ELEMENT,m=this._instanceInfo,g=this._multiDrawStarts,_=this._multiDrawCounts,x=this._geometryInfo,b=this.perObjectFrustumCulled,M=this._indirectTexture,A=M.image.data,R=n.isArrayCamera?YR:UM;b&&!n.isArrayCamera&&(Ts.multiplyMatrices(n.projectionMatrix,n.matrixWorldInverse).multiply(this.matrixWorld),UM.setFromProjectionMatrix(Ts,n.coordinateSystem,n.reversedDepth));let w=0;if(this.sortObjects){Ts.copy(this.matrixWorld).invert(),Gp.setFromMatrixPosition(n.matrixWorld).applyMatrix4(Ts),IM.set(0,0,-1).transformDirection(n.matrixWorld).transformDirection(Ts);for(let D=0,U=m.length;D0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;un)return;hx.applyMatrix4(r.matrixWorld);const g=e.ray.origin.distanceTo(hx);if(!(ge.far))return{distance:g,point:PM.clone().applyMatrix4(r.matrixWorld),index:f,face:null,faceIndex:null,barycoord:null,object:r}}const zM=new j,BM=new j;class Vo extends Fu{constructor(e,t){super(e,t),this.isLineSegments=!0,this.type="LineSegments"}computeLineDistances(){const e=this.geometry;if(e.index===null){const t=e.attributes.position,n=[];for(let s=0,u=t.count;s0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;us.far)return;u.push({distance:g,distanceToRay:Math.sqrt(h),point:m,index:e,face:null,faceIndex:null,barycoord:null,object:f})}}class eT extends wi{constructor(e,t,n,s,u=oi,f=oi,h,m,g){super(e,t,n,s,u,f,h,m,g),this.isVideoTexture=!0,this.generateMipmaps=!1,this._requestVideoFrameCallbackId=0;const _=this;function x(){_.needsUpdate=!0,_._requestVideoFrameCallbackId=e.requestVideoFrameCallback(x)}"requestVideoFrameCallback"in e&&(this._requestVideoFrameCallbackId=e.requestVideoFrameCallback(x))}clone(){return new this.constructor(this.image).copy(this)}update(){const e=this.image;"requestVideoFrameCallback"in e===!1&&e.readyState>=e.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}dispose(){this._requestVideoFrameCallbackId!==0&&(this.source.data.cancelVideoFrameCallback(this._requestVideoFrameCallbackId),this._requestVideoFrameCallbackId=0),super.dispose()}}class KR extends eT{constructor(e,t,n,s,u,f,h,m){super({},e,t,n,s,u,f,h,m),this.isVideoFrameTexture=!0}update(){}clone(){return new this.constructor().copy(this)}setFrame(e){this.image=e,this.needsUpdate=!0}}class JR extends wi{constructor(e,t){super({width:e,height:t}),this.isFramebufferTexture=!0,this.magFilter=Bi,this.minFilter=Bi,this.generateMipmaps=!1,this.needsUpdate=!0}}class Oy extends wi{constructor(e,t,n,s,u,f,h,m,g,_,x,b){super(null,f,h,m,g,_,s,u,x,b),this.isCompressedTexture=!0,this.image={width:t,height:n},this.mipmaps=e,this.flipY=!1,this.generateMipmaps=!1}}class $R extends Oy{constructor(e,t,n,s,u,f){super(e,t,n,u,f),this.isCompressedArrayTexture=!0,this.image.depth=s,this.wrapR=Rs,this.layerUpdates=new Set}addLayerUpdate(e){this.layerUpdates.add(e)}clearLayerUpdates(){this.layerUpdates.clear()}}class eN extends Oy{constructor(e,t,n){super(void 0,e[0].width,e[0].height,t,n,zo),this.isCompressedCubeTexture=!0,this.isCubeTexture=!0,this.image=e}}class tN extends wi{constructor(e,t,n,s,u,f,h,m,g){super(e,t,n,s,u,f,h,m,g),this.isCanvasTexture=!0,this.needsUpdate=!0}}class ed extends wi{constructor(e,t,n=vr,s,u,f,h=Bi,m=Bi,g,_=Fo,x=1){if(_!==Fo&&_!==Uu)throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat");const b={width:e,height:t,depth:x};super(b,s,u,f,h,m,_,n,g),this.isDepthTexture=!0,this.flipY=!1,this.generateMipmaps=!1,this.compareFunction=null}copy(e){return super.copy(e),this.source=new Iu(Object.assign({},e.image)),this.compareFunction=e.compareFunction,this}toJSON(e){const t=super.toJSON(e);return this.compareFunction!==null&&(t.compareFunction=this.compareFunction),t}}class tT extends ed{constructor(e,t=vr,n=zo,s,u,f=Bi,h=Bi,m,g=Fo){const _={width:e,height:e,depth:1},x=[_,_,_,_,_,_];super(e,e,t,n,s,u,f,h,m,g),this.image=x,this.isCubeDepthTexture=!0,this.isCubeTexture=!0}get images(){return this.image}set images(e){this.image=e}}class Pb extends wi{constructor(e=null){super(),this.sourceTexture=e,this.isExternalTexture=!0}copy(e){return super.copy(e),this.sourceTexture=e.sourceTexture,this}}class Py extends Kt{constructor(e=1,t=1,n=4,s=8,u=1){super(),this.type="CapsuleGeometry",this.parameters={radius:e,height:t,capSegments:n,radialSegments:s,heightSegments:u},t=Math.max(0,t),n=Math.max(1,Math.floor(n)),s=Math.max(3,Math.floor(s)),u=Math.max(1,Math.floor(u));const f=[],h=[],m=[],g=[],_=t/2,x=Math.PI/2*e,b=t,M=2*x+b,A=n*2+u,R=s+1,w=new j,E=new j;for(let N=0;N<=A;N++){let D=0,U=0,B=0,z=0;if(N<=n){const I=N/n,P=I*Math.PI/2;U=-_-e*Math.cos(P),B=e*Math.sin(P),z=-e*Math.cos(P),D=I*x}else if(N<=n+u){const I=(N-n)/u;U=-_+I*t,B=e,z=0,D=x+I*b}else{const I=(N-n-u)/n,P=I*Math.PI/2;U=_+e*Math.sin(P),B=e*Math.cos(P),z=e*Math.sin(P),D=x+b+I*x}const H=Math.max(0,Math.min(1,D/M));let W=0;N===0?W=.5/s:N===A&&(W=-.5/s);for(let I=0;I<=s;I++){const P=I/s,Z=P*Math.PI*2,se=Math.sin(Z),te=Math.cos(Z);E.x=-B*te,E.y=U,E.z=B*se,h.push(E.x,E.y,E.z),w.set(-B*te,z,B*se),w.normalize(),m.push(w.x,w.y,w.z),g.push(P+W,H)}if(N>0){const I=(N-1)*R;for(let P=0;P0&&D(!0),t>0&&D(!1)),this.setIndex(_),this.setAttribute("position",new bt(x,3)),this.setAttribute("normal",new bt(b,3)),this.setAttribute("uv",new bt(M,2));function N(){const U=new j,B=new j;let z=0;const H=(t-e)/n;for(let W=0;W<=u;W++){const I=[],P=W/u,Z=P*(t-e)+e;for(let se=0;se<=s;se++){const te=se/s,fe=te*m+h,pe=Math.sin(fe),Y=Math.cos(fe);B.x=Z*pe,B.y=-P*n+w,B.z=Z*Y,x.push(B.x,B.y,B.z),U.set(pe,H,Y).normalize(),b.push(U.x,U.y,U.z),M.push(te,1-P),I.push(A++)}R.push(I)}for(let W=0;W0||I!==0)&&(_.push(P,Z,te),z+=3),(t>0||I!==u-1)&&(_.push(Z,se,te),z+=3)}g.addGroup(E,z,0),E+=z}function D(U){const B=A,z=new ze,H=new j;let W=0;const I=U===!0?e:t,P=U===!0?1:-1;for(let se=1;se<=s;se++)x.push(0,w*P,0),b.push(0,P,0),M.push(.5,.5),A++;const Z=A;for(let se=0;se<=s;se++){const fe=se/s*m+h,pe=Math.cos(fe),Y=Math.sin(fe);H.x=I*Y,H.y=w*P,H.z=I*pe,x.push(H.x,H.y,H.z),b.push(0,P,0),z.x=pe*.5+.5,z.y=Y*.5*P+.5,M.push(z.x,z.y),A++}for(let se=0;se.9&&H<.1&&(D<.2&&(f[N+0]+=1),U<.2&&(f[N+2]+=1),B<.2&&(f[N+4]+=1))}}function b(N){u.push(N.x,N.y,N.z)}function M(N,D){const U=N*3;D.x=e[U+0],D.y=e[U+1],D.z=e[U+2]}function A(){const N=new j,D=new j,U=new j,B=new j,z=new ze,H=new ze,W=new ze;for(let I=0,P=0;I0)m=s-1;else{m=s;break}if(s=m,n[s]===f)return s/(u-1);const _=n[s],b=n[s+1]-_,M=(f-_)/b;return(s+M)/(u-1)}getTangent(e,t){let s=e-1e-4,u=e+1e-4;s<0&&(s=0),u>1&&(u=1);const f=this.getPoint(s),h=this.getPoint(u),m=t||(f.isVector2?new ze:new j);return m.copy(h).sub(f).normalize(),m}getTangentAt(e,t){const n=this.getUtoTmapping(e);return this.getTangent(n,t)}computeFrenetFrames(e,t=!1){const n=new j,s=[],u=[],f=[],h=new j,m=new Xt;for(let M=0;M<=e;M++){const A=M/e;s[M]=this.getTangentAt(A,new j)}u[0]=new j,f[0]=new j;let g=Number.MAX_VALUE;const _=Math.abs(s[0].x),x=Math.abs(s[0].y),b=Math.abs(s[0].z);_<=g&&(g=_,n.set(1,0,0)),x<=g&&(g=x,n.set(0,1,0)),b<=g&&n.set(0,0,1),h.crossVectors(s[0],n).normalize(),u[0].crossVectors(s[0],h),f[0].crossVectors(s[0],u[0]);for(let M=1;M<=e;M++){if(u[M]=u[M-1].clone(),f[M]=f[M-1].clone(),h.crossVectors(s[M-1],s[M]),h.length()>Number.EPSILON){h.normalize();const A=Math.acos(Ht(s[M-1].dot(s[M]),-1,1));u[M].applyMatrix4(m.makeRotationAxis(h,A))}f[M].crossVectors(s[M],u[M])}if(t===!0){let M=Math.acos(Ht(u[0].dot(u[e]),-1,1));M/=e,s[0].dot(h.crossVectors(u[0],u[e]))>0&&(M=-M);for(let A=1;A<=e;A++)u[A].applyMatrix4(m.makeRotationAxis(s[A],M*A)),f[A].crossVectors(s[A],u[A])}return{tangents:s,normals:u,binormals:f}}clone(){return new this.constructor().copy(this)}copy(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}toJSON(){const e={metadata:{version:4.7,type:"Curve",generator:"Curve.toJSON"}};return e.arcLengthDivisions=this.arcLengthDivisions,e.type=this.type,e}fromJSON(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}}class Fy extends Zr{constructor(e=0,t=0,n=1,s=1,u=0,f=Math.PI*2,h=!1,m=0){super(),this.isEllipseCurve=!0,this.type="EllipseCurve",this.aX=e,this.aY=t,this.xRadius=n,this.yRadius=s,this.aStartAngle=u,this.aEndAngle=f,this.aClockwise=h,this.aRotation=m}getPoint(e,t=new ze){const n=t,s=Math.PI*2;let u=this.aEndAngle-this.aStartAngle;const f=Math.abs(u)s;)u-=s;u0?0:(Math.floor(Math.abs(h)/u)+1)*u:m===0&&h===u-1&&(h=u-2,m=1);let g,_;this.closed||h>0?g=s[(h-1)%u]:(K0.subVectors(s[0],s[1]).add(s[0]),g=K0);const x=s[h%u],b=s[(h+1)%u];if(this.closed||h+2s.length-2?s.length-1:f+1],x=s[f>s.length-3?s.length-1:f+2];return n.set(VM(h,m.x,g.x,_.x,x.x),VM(h,m.y,g.y,_.y,x.y)),n}copy(e){super.copy(e),this.points=[];for(let t=0,n=e.points.length;t=n){const f=s[u]-n,h=this.curves[u],m=h.getLength(),g=m===0?0:1-f/m;return h.getPointAt(g,t)}u++}return null}getLength(){const e=this.getCurveLengths();return e[e.length-1]}updateArcLengths(){this.needsUpdate=!0,this.cacheLengths=null,this.getCurveLengths()}getCurveLengths(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;const e=[];let t=0;for(let n=0,s=this.curves.length;n1&&!t[t.length-1].equals(t[0])&&t.push(t[0]),t}copy(e){super.copy(e),this.curves=[];for(let t=0,n=e.curves.length;t0){const x=g.getPoint(0);x.equals(this.currentPoint)||this.lineTo(x.x,x.y)}this.curves.push(g);const _=g.getPoint(1);return this.currentPoint.copy(_),this}copy(e){return super.copy(e),this.currentPoint.copy(e.currentPoint),this}toJSON(){const e=super.toJSON();return e.currentPoint=this.currentPoint.toArray(),e}fromJSON(e){return super.fromJSON(e),this.currentPoint.fromArray(e.currentPoint),this}}class $c extends ly{constructor(e){super(e),this.uuid=Vs(),this.type="Shape",this.holes=[]}getPointsHoles(e){const t=[];for(let n=0,s=this.holes.length;n80*t){h=r[0],m=r[1];let _=h,x=m;for(let b=t;b_&&(_=M),A>x&&(x=A)}g=Math.max(_-h,x-m),g=g!==0?32767/g:0}return vm(u,f,t,h,m,g,0),f}function lT(r,e,t,n,s){let u;if(s===TN(r,e,t,n)>0)for(let f=e;f=e;f-=n)u=HM(f/n|0,r[f],r[f+1],u);return u&&td(u,u.next)&&(_m(u),u=u.next),u}function af(r,e){if(!r)return r;e||(e=r);let t=r,n;do if(n=!1,!t.steiner&&(td(t,t.next)||_i(t.prev,t,t.next)===0)){if(_m(t),t=e=t.prev,t===t.next)break;n=!0}else t=t.next;while(n||t!==e);return e}function vm(r,e,t,n,s,u,f){if(!r)return;!f&&u&&_N(r,n,s,u);let h=r;for(;r.prev!==r.next;){const m=r.prev,g=r.next;if(u?fN(r,n,s,u):cN(r)){e.push(m.i,r.i,g.i),_m(r),r=g.next,h=g.next;continue}if(r=g,r===h){f?f===1?(r=hN(af(r),e),vm(r,e,t,n,s,u,2)):f===2&&dN(r,e,t,n,s,u):vm(af(r),e,t,n,s,u,1);break}}}function cN(r){const e=r.prev,t=r,n=r.next;if(_i(e,t,n)>=0)return!1;const s=e.x,u=t.x,f=n.x,h=e.y,m=t.y,g=n.y,_=Math.min(s,u,f),x=Math.min(h,m,g),b=Math.max(s,u,f),M=Math.max(h,m,g);let A=n.next;for(;A!==e;){if(A.x>=_&&A.x<=b&&A.y>=x&&A.y<=M&&Zp(s,h,u,m,f,g,A.x,A.y)&&_i(A.prev,A,A.next)>=0)return!1;A=A.next}return!0}function fN(r,e,t,n){const s=r.prev,u=r,f=r.next;if(_i(s,u,f)>=0)return!1;const h=s.x,m=u.x,g=f.x,_=s.y,x=u.y,b=f.y,M=Math.min(h,m,g),A=Math.min(_,x,b),R=Math.max(h,m,g),w=Math.max(_,x,b),E=Zx(M,A,e,t,n),N=Zx(R,w,e,t,n);let D=r.prevZ,U=r.nextZ;for(;D&&D.z>=E&&U&&U.z<=N;){if(D.x>=M&&D.x<=R&&D.y>=A&&D.y<=w&&D!==s&&D!==f&&Zp(h,_,m,x,g,b,D.x,D.y)&&_i(D.prev,D,D.next)>=0||(D=D.prevZ,U.x>=M&&U.x<=R&&U.y>=A&&U.y<=w&&U!==s&&U!==f&&Zp(h,_,m,x,g,b,U.x,U.y)&&_i(U.prev,U,U.next)>=0))return!1;U=U.nextZ}for(;D&&D.z>=E;){if(D.x>=M&&D.x<=R&&D.y>=A&&D.y<=w&&D!==s&&D!==f&&Zp(h,_,m,x,g,b,D.x,D.y)&&_i(D.prev,D,D.next)>=0)return!1;D=D.prevZ}for(;U&&U.z<=N;){if(U.x>=M&&U.x<=R&&U.y>=A&&U.y<=w&&U!==s&&U!==f&&Zp(h,_,m,x,g,b,U.x,U.y)&&_i(U.prev,U,U.next)>=0)return!1;U=U.nextZ}return!0}function hN(r,e){let t=r;do{const n=t.prev,s=t.next.next;!td(n,s)&&cT(n,t,t.next,s)&&ym(n,s)&&ym(s,n)&&(e.push(n.i,t.i,s.i),_m(t),_m(t.next),t=r=s),t=t.next}while(t!==r);return af(t)}function dN(r,e,t,n,s,u){let f=r;do{let h=f.next.next;for(;h!==f.prev;){if(f.i!==h.i&&SN(f,h)){let m=fT(f,h);f=af(f,f.next),m=af(m,m.next),vm(f,e,t,n,s,u,0),vm(m,e,t,n,s,u,0);return}h=h.next}f=f.next}while(f!==r)}function pN(r,e,t,n){const s=[];for(let u=0,f=e.length;u=t.next.y&&t.next.y!==t.y){const x=t.x+(s-t.y)*(t.next.x-t.x)/(t.next.y-t.y);if(x<=n&&x>u&&(u=x,f=t.x=t.x&&t.x>=m&&n!==t.x&&uT(sf.x||t.x===f.x&&yN(f,t)))&&(f=t,_=x)}t=t.next}while(t!==h);return f}function yN(r,e){return _i(r.prev,r,e.prev)<0&&_i(e.next,r,r.next)<0}function _N(r,e,t,n){let s=r;do s.z===0&&(s.z=Zx(s.x,s.y,e,t,n)),s.prevZ=s.prev,s.nextZ=s.next,s=s.next;while(s!==r);s.prevZ.nextZ=null,s.prevZ=null,xN(s)}function xN(r){let e,t=1;do{let n=r,s;r=null;let u=null;for(e=0;n;){e++;let f=n,h=0;for(let g=0;g0||m>0&&f;)h!==0&&(m===0||!f||n.z<=f.z)?(s=n,n=n.nextZ,h--):(s=f,f=f.nextZ,m--),u?u.nextZ=s:r=s,s.prevZ=u,u=s;n=f}u.nextZ=null,t*=2}while(e>1);return r}function Zx(r,e,t,n,s){return r=(r-t)*s|0,e=(e-n)*s|0,r=(r|r<<8)&16711935,r=(r|r<<4)&252645135,r=(r|r<<2)&858993459,r=(r|r<<1)&1431655765,e=(e|e<<8)&16711935,e=(e|e<<4)&252645135,e=(e|e<<2)&858993459,e=(e|e<<1)&1431655765,r|e<<1}function bN(r){let e=r,t=r;do(e.x=(r-f)*(u-h)&&(r-f)*(n-h)>=(t-f)*(e-h)&&(t-f)*(u-h)>=(s-f)*(n-h)}function Zp(r,e,t,n,s,u,f,h){return!(r===f&&e===h)&&uT(r,e,t,n,s,u,f,h)}function SN(r,e){return r.next.i!==e.i&&r.prev.i!==e.i&&!MN(r,e)&&(ym(r,e)&&ym(e,r)&&EN(r,e)&&(_i(r.prev,r,e.prev)||_i(r,e.prev,e))||td(r,e)&&_i(r.prev,r,r.next)>0&&_i(e.prev,e,e.next)>0)}function _i(r,e,t){return(e.y-r.y)*(t.x-e.x)-(e.x-r.x)*(t.y-e.y)}function td(r,e){return r.x===e.x&&r.y===e.y}function cT(r,e,t,n){const s=$0(_i(r,e,t)),u=$0(_i(r,e,n)),f=$0(_i(t,n,r)),h=$0(_i(t,n,e));return!!(s!==u&&f!==h||s===0&&J0(r,t,e)||u===0&&J0(r,n,e)||f===0&&J0(t,r,n)||h===0&&J0(t,e,n))}function J0(r,e,t){return e.x<=Math.max(r.x,t.x)&&e.x>=Math.min(r.x,t.x)&&e.y<=Math.max(r.y,t.y)&&e.y>=Math.min(r.y,t.y)}function $0(r){return r>0?1:r<0?-1:0}function MN(r,e){let t=r;do{if(t.i!==r.i&&t.next.i!==r.i&&t.i!==e.i&&t.next.i!==e.i&&cT(t,t.next,r,e))return!0;t=t.next}while(t!==r);return!1}function ym(r,e){return _i(r.prev,r,r.next)<0?_i(r,e,r.next)>=0&&_i(r,r.prev,e)>=0:_i(r,e,r.prev)<0||_i(r,r.next,e)<0}function EN(r,e){let t=r,n=!1;const s=(r.x+e.x)/2,u=(r.y+e.y)/2;do t.y>u!=t.next.y>u&&t.next.y!==t.y&&s<(t.next.x-t.x)*(u-t.y)/(t.next.y-t.y)+t.x&&(n=!n),t=t.next;while(t!==r);return n}function fT(r,e){const t=Qx(r.i,r.x,r.y),n=Qx(e.i,e.x,e.y),s=r.next,u=e.prev;return r.next=e,e.prev=r,t.next=s,s.prev=t,n.next=t,t.prev=n,u.next=n,n.prev=u,n}function HM(r,e,t,n){const s=Qx(r,e,t);return n?(s.next=n.next,s.prev=n,n.next.prev=s,n.next=s):(s.prev=s,s.next=s),s}function _m(r){r.next.prev=r.prev,r.prev.next=r.next,r.prevZ&&(r.prevZ.nextZ=r.nextZ),r.nextZ&&(r.nextZ.prevZ=r.prevZ)}function Qx(r,e,t){return{i:r,x:e,y:t,prev:null,next:null,z:0,prevZ:null,nextZ:null,steiner:!1}}function TN(r,e,t,n){let s=0;for(let u=e,f=t-n;u2&&r[e-1].equals(r[0])&&r.pop()}function XM(r,e){for(let t=0;tNumber.EPSILON){const Te=Math.sqrt(O),Ie=Math.sqrt(Qe*Qe+G*G),Ee=He.x-Tt/Te,dt=He.y+ot/Te,Ke=Oe.x-G/Ie,vt=Oe.y+Qe/Ie,Dt=((Ke-Ee)*G-(vt-dt)*Qe)/(ot*G-Tt*Qe);nt=Ee+ot*Dt-Le.x,Q=dt+Tt*Dt-Le.y;const Ve=nt*nt+Q*Q;if(Ve<=2)return new ze(nt,Q);Et=Math.sqrt(Ve/2)}else{let Te=!1;ot>Number.EPSILON?Qe>Number.EPSILON&&(Te=!0):ot<-Number.EPSILON?Qe<-Number.EPSILON&&(Te=!0):Math.sign(Tt)===Math.sign(G)&&(Te=!0),Te?(nt=-Tt,Q=ot,Et=Math.sqrt(O)):(nt=ot,Q=Tt,Et=Math.sqrt(O/2))}return new ze(nt/Et,Q/Et)}const be=[];for(let Le=0,He=pe.length,Oe=He-1,nt=Le+1;Le=0;Le--){const He=Le/w,Oe=M*Math.cos(He*Math.PI/2),nt=A*Math.sin(He*Math.PI/2)+R;for(let Q=0,Et=pe.length;Q=0;){const nt=Oe;let Q=Oe-1;Q<0&&(Q=Le.length-1);for(let Et=0,ot=_+w*2;Et0)&&M.push(D,U,z),(E!==n-1||m0!=e>0&&this.version++,this._anisotropy=e}get clearcoat(){return this._clearcoat}set clearcoat(e){this._clearcoat>0!=e>0&&this.version++,this._clearcoat=e}get iridescence(){return this._iridescence}set iridescence(e){this._iridescence>0!=e>0&&this.version++,this._iridescence=e}get dispersion(){return this._dispersion}set dispersion(e){this._dispersion>0!=e>0&&this.version++,this._dispersion=e}get sheen(){return this._sheen}set sheen(e){this._sheen>0!=e>0&&this.version++,this._sheen=e}get transmission(){return this._transmission}set transmission(e){this._transmission>0!=e>0&&this.version++,this._transmission=e}copy(e){return super.copy(e),this.defines={STANDARD:"",PHYSICAL:""},this.anisotropy=e.anisotropy,this.anisotropyRotation=e.anisotropyRotation,this.anisotropyMap=e.anisotropyMap,this.clearcoat=e.clearcoat,this.clearcoatMap=e.clearcoatMap,this.clearcoatRoughness=e.clearcoatRoughness,this.clearcoatRoughnessMap=e.clearcoatRoughnessMap,this.clearcoatNormalMap=e.clearcoatNormalMap,this.clearcoatNormalScale.copy(e.clearcoatNormalScale),this.dispersion=e.dispersion,this.ior=e.ior,this.iridescence=e.iridescence,this.iridescenceMap=e.iridescenceMap,this.iridescenceIOR=e.iridescenceIOR,this.iridescenceThicknessRange=[...e.iridescenceThicknessRange],this.iridescenceThicknessMap=e.iridescenceThicknessMap,this.sheen=e.sheen,this.sheenColor.copy(e.sheenColor),this.sheenColorMap=e.sheenColorMap,this.sheenRoughness=e.sheenRoughness,this.sheenRoughnessMap=e.sheenRoughnessMap,this.transmission=e.transmission,this.transmissionMap=e.transmissionMap,this.thickness=e.thickness,this.thicknessMap=e.thicknessMap,this.attenuationDistance=e.attenuationDistance,this.attenuationColor.copy(e.attenuationColor),this.specularIntensity=e.specularIntensity,this.specularIntensityMap=e.specularIntensityMap,this.specularColor.copy(e.specularColor),this.specularColorMap=e.specularColorMap,this}}class mT extends Ba{constructor(e){super(),this.isMeshPhongMaterial=!0,this.type="MeshPhongMaterial",this.color=new yt(16777215),this.specular=new yt(1118481),this.shininess=30,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.specular.copy(e.specular),this.shininess=e.shininess,this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}}class gT extends Ba{constructor(e){super(),this.isMeshToonMaterial=!0,this.defines={TOON:""},this.type="MeshToonMaterial",this.color=new yt(16777215),this.map=null,this.gradientMap=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.gradientMap=e.gradientMap,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}class vT extends Ba{constructor(e){super(),this.isMeshNormalMaterial=!0,this.type="MeshNormalMaterial",this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.setValues(e)}copy(e){return super.copy(e),this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this}}class yT extends Ba{constructor(e){super(),this.isMeshLambertMaterial=!0,this.type="MeshLambertMaterial",this.color=new yt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}}class Wb extends Ba{constructor(e){super(),this.isMeshDepthMaterial=!0,this.type="MeshDepthMaterial",this.depthPacking=NE,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.setValues(e)}copy(e){return super.copy(e),this.depthPacking=e.depthPacking,this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this}}class qb extends Ba{constructor(e){super(),this.isMeshDistanceMaterial=!0,this.type="MeshDistanceMaterial",this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.setValues(e)}copy(e){return super.copy(e),this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this}}class _T extends Ba{constructor(e){super(),this.isMeshMatcapMaterial=!0,this.defines={MATCAP:""},this.type="MeshMatcapMaterial",this.color=new yt(16777215),this.matcap=null,this.map=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.defines={MATCAP:""},this.color.copy(e.color),this.matcap=e.matcap,this.map=e.map,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this.fog=e.fog,this}}class xT extends ss{constructor(e){super(),this.isLineDashedMaterial=!0,this.type="LineDashedMaterial",this.scale=1,this.dashSize=3,this.gapSize=1,this.setValues(e)}copy(e){return super.copy(e),this.scale=e.scale,this.dashSize=e.dashSize,this.gapSize=e.gapSize,this}}function Qc(r,e){return!r||r.constructor===e?r:typeof e.BYTES_PER_ELEMENT=="number"?new e(r):Array.prototype.slice.call(r)}function bT(r){function e(s,u){return r[s]-r[u]}const t=r.length,n=new Array(t);for(let s=0;s!==t;++s)n[s]=s;return n.sort(e),n}function Kx(r,e,t){const n=r.length,s=new r.constructor(n);for(let u=0,f=0;f!==n;++u){const h=t[u]*e;for(let m=0;m!==e;++m)s[f++]=r[h+m]}return s}function jb(r,e,t,n){let s=1,u=r[0];for(;u!==void 0&&u[n]===void 0;)u=r[s++];if(u===void 0)return;let f=u[n];if(f!==void 0)if(Array.isArray(f))do f=u[n],f!==void 0&&(e.push(u.time),t.push(...f)),u=r[s++];while(u!==void 0);else if(f.toArray!==void 0)do f=u[n],f!==void 0&&(e.push(u.time),f.toArray(t,t.length)),u=r[s++];while(u!==void 0);else do f=u[n],f!==void 0&&(e.push(u.time),t.push(f)),u=r[s++];while(u!==void 0)}function NN(r,e,t,n,s=30){const u=r.clone();u.name=e;const f=[];for(let m=0;m=n)){x.push(g.times[M]);for(let R=0;R<_;++R)b.push(g.values[M*_+R])}}x.length!==0&&(g.times=Qc(x,g.times.constructor),g.values=Qc(b,g.values.constructor),f.push(g))}u.tracks=f;let h=1/0;for(let m=0;mu.tracks[m].times[0]&&(h=u.tracks[m].times[0]);for(let m=0;m=h.times[A]){const E=A*x+_,N=E+x-_;R=h.values.slice(E,N)}else{const E=h.createInterpolant(),N=_,D=x-_;E.evaluate(u),R=E.resultBuffer.slice(N,D)}m==="quaternion"&&new Pa().fromArray(R).normalize().conjugate().toArray(R);const w=g.times.length;for(let E=0;E=u)){const h=t[1];e=u)break t}f=n,n=0;break n}break e}for(;n>>1;et;)--f;if(++f,u!==0||f!==s){u>=f&&(f=Math.max(f,1),u=f-1);const h=this.getValueSize();this.times=n.slice(u,f),this.values=this.values.slice(u*h,f*h)}return this}validate(){let e=!0;const t=this.getValueSize();t-Math.floor(t)!==0&&(Rt("KeyframeTrack: Invalid value size in track.",this),e=!1);const n=this.times,s=this.values,u=n.length;u===0&&(Rt("KeyframeTrack: Track is empty.",this),e=!1);let f=null;for(let h=0;h!==u;h++){const m=n[h];if(typeof m=="number"&&isNaN(m)){Rt("KeyframeTrack: Time is not a valid number.",this,h,m),e=!1;break}if(f!==null&&f>m){Rt("KeyframeTrack: Out of order keys.",this,h,m,f),e=!1;break}f=m}if(s!==void 0&&FE(s))for(let h=0,m=s.length;h!==m;++h){const g=s[h];if(isNaN(g)){Rt("KeyframeTrack: Value is not a valid number.",this,h,g),e=!1;break}}return e}optimize(){const e=this.times.slice(),t=this.values.slice(),n=this.getValueSize(),s=this.getInterpolation()===dv,u=e.length-1;let f=1;for(let h=1;h0){e[f]=e[u];for(let h=u*n,m=f*n,g=0;g!==n;++g)t[m+g]=t[h+g];++f}return f!==e.length?(this.times=e.slice(0,f),this.values=t.slice(0,f*n)):(this.times=e,this.values=t),this}clone(){const e=this.times.slice(),t=this.values.slice(),n=this.constructor,s=new n(this.name,e,t);return s.createInterpolant=this.createInterpolant,s}}_r.prototype.ValueTypeName="";_r.prototype.TimeBufferType=Float32Array;_r.prototype.ValueBufferType=Float32Array;_r.prototype.DefaultInterpolation=ay;class uf extends _r{constructor(e,t,n){super(e,t,n)}}uf.prototype.ValueTypeName="bool";uf.prototype.ValueBufferType=Array;uf.prototype.DefaultInterpolation=fm;uf.prototype.InterpolantFactoryMethodLinear=void 0;uf.prototype.InterpolantFactoryMethodSmooth=void 0;class Zb extends _r{constructor(e,t,n,s){super(e,t,n,s)}}Zb.prototype.ValueTypeName="color";class xm extends _r{constructor(e,t,n,s){super(e,t,n,s)}}xm.prototype.ValueTypeName="number";class ET extends Um{constructor(e,t,n,s){super(e,t,n,s)}interpolate_(e,t,n,s){const u=this.resultBuffer,f=this.sampleValues,h=this.valueSize,m=(n-t)/(s-t);let g=e*h;for(let _=g+h;g!==_;g+=4)Pa.slerpFlat(u,0,f,g-h,f,g,m);return u}}class Im extends _r{constructor(e,t,n,s){super(e,t,n,s)}InterpolantFactoryMethodLinear(e){return new ET(this.times,this.values,this.getValueSize(),e)}}Im.prototype.ValueTypeName="quaternion";Im.prototype.InterpolantFactoryMethodSmooth=void 0;class cf extends _r{constructor(e,t,n){super(e,t,n)}}cf.prototype.ValueTypeName="string";cf.prototype.ValueBufferType=Array;cf.prototype.DefaultInterpolation=fm;cf.prototype.InterpolantFactoryMethodLinear=void 0;cf.prototype.InterpolantFactoryMethodSmooth=void 0;class bm extends _r{constructor(e,t,n,s){super(e,t,n,s)}}bm.prototype.ValueTypeName="vector";class Sm{constructor(e="",t=-1,n=[],s=Ey){this.name=e,this.tracks=n,this.duration=t,this.blendMode=s,this.uuid=Vs(),this.userData={},this.duration<0&&this.resetDuration()}static parse(e){const t=[],n=e.tracks,s=1/(e.fps||1);for(let f=0,h=n.length;f!==h;++f)t.push(IN(n[f]).scale(s));const u=new this(e.name,e.duration,t,e.blendMode);return u.uuid=e.uuid,u.userData=JSON.parse(e.userData||"{}"),u}static toJSON(e){const t=[],n=e.tracks,s={name:e.name,duration:e.duration,tracks:t,uuid:e.uuid,blendMode:e.blendMode,userData:JSON.stringify(e.userData)};for(let u=0,f=n.length;u!==f;++u)t.push(_r.toJSON(n[u]));return s}static CreateFromMorphTargetSequence(e,t,n,s){const u=t.length,f=[];for(let h=0;h1){const x=_[1];let b=s[x];b||(s[x]=b=[]),b.push(g)}}const f=[];for(const h in s)f.push(this.CreateFromMorphTargetSequence(h,s[h],t,n));return f}static parseAnimation(e,t){if(ft("AnimationClip: parseAnimation() is deprecated and will be removed with r185"),!e)return Rt("AnimationClip: No animation in JSONLoader data."),null;const n=function(x,b,M,A,R){if(M.length!==0){const w=[],E=[];jb(M,w,E,A),w.length!==0&&R.push(new x(b,w,E))}},s=[],u=e.name||"default",f=e.fps||30,h=e.blendMode;let m=e.length||-1;const g=e.hierarchy||[];for(let x=0;x{t&&t(u),this.manager.itemEnd(e)},0),u;if(Al[e]!==void 0){Al[e].push({onLoad:t,onProgress:n,onError:s});return}Al[e]=[],Al[e].push({onLoad:t,onProgress:n,onError:s});const f=new Request(e,{headers:new Headers(this.requestHeader),credentials:this.withCredentials?"include":"same-origin",signal:typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal}),h=this.mimeType,m=this.responseType;fetch(f).then(g=>{if(g.status===200||g.status===0){if(g.status===0&&ft("FileLoader: HTTP Status 0 received."),typeof ReadableStream>"u"||g.body===void 0||g.body.getReader===void 0)return g;const _=Al[e],x=g.body.getReader(),b=g.headers.get("X-File-Size")||g.headers.get("Content-Length"),M=b?parseInt(b):0,A=M!==0;let R=0;const w=new ReadableStream({start(E){N();function N(){x.read().then(({done:D,value:U})=>{if(D)E.close();else{R+=U.byteLength;const B=new ProgressEvent("progress",{lengthComputable:A,loaded:R,total:M});for(let z=0,H=_.length;z{E.error(D)})}}});return new Response(w)}else throw new ON(`fetch for "${g.url}" responded with ${g.status}: ${g.statusText}`,g)}).then(g=>{switch(m){case"arraybuffer":return g.arrayBuffer();case"blob":return g.blob();case"document":return g.text().then(_=>new DOMParser().parseFromString(_,h));case"json":return g.json();default:if(h==="")return g.text();{const x=/charset="?([^;"\s]*)"?/i.exec(h),b=x&&x[1]?x[1].toLowerCase():void 0,M=new TextDecoder(b);return g.arrayBuffer().then(A=>M.decode(A))}}}).then(g=>{Oo.add(`file:${e}`,g);const _=Al[e];delete Al[e];for(let x=0,b=_.length;x{const _=Al[e];if(_===void 0)throw this.manager.itemError(e),g;delete Al[e];for(let x=0,b=_.length;x{this.manager.itemEnd(e)}),this.manager.itemStart(e)}setResponseType(e){return this.responseType=e,this}setMimeType(e){return this.mimeType=e,this}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}class PN extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(this.manager);f.setPath(this.path),f.setRequestHeader(this.requestHeader),f.setWithCredentials(this.withCredentials),f.load(e,function(h){try{t(u.parse(JSON.parse(h)))}catch(m){s?s(m):Rt(m),u.manager.itemError(e)}},n,s)}parse(e){const t=[];for(let n=0;n0:s.vertexColors=e.vertexColors),e.uniforms!==void 0)for(const u in e.uniforms){const f=e.uniforms[u];switch(s.uniforms[u]={},f.type){case"t":s.uniforms[u].value=n(f.value);break;case"c":s.uniforms[u].value=new yt().setHex(f.value);break;case"v2":s.uniforms[u].value=new ze().fromArray(f.value);break;case"v3":s.uniforms[u].value=new j().fromArray(f.value);break;case"v4":s.uniforms[u].value=new jn().fromArray(f.value);break;case"m3":s.uniforms[u].value=new en().fromArray(f.value);break;case"m4":s.uniforms[u].value=new Xt().fromArray(f.value);break;default:s.uniforms[u].value=f.value}}if(e.defines!==void 0&&(s.defines=e.defines),e.vertexShader!==void 0&&(s.vertexShader=e.vertexShader),e.fragmentShader!==void 0&&(s.fragmentShader=e.fragmentShader),e.glslVersion!==void 0&&(s.glslVersion=e.glslVersion),e.extensions!==void 0)for(const u in e.extensions)s.extensions[u]=e.extensions[u];if(e.lights!==void 0&&(s.lights=e.lights),e.clipping!==void 0&&(s.clipping=e.clipping),e.size!==void 0&&(s.size=e.size),e.sizeAttenuation!==void 0&&(s.sizeAttenuation=e.sizeAttenuation),e.map!==void 0&&(s.map=n(e.map)),e.matcap!==void 0&&(s.matcap=n(e.matcap)),e.alphaMap!==void 0&&(s.alphaMap=n(e.alphaMap)),e.bumpMap!==void 0&&(s.bumpMap=n(e.bumpMap)),e.bumpScale!==void 0&&(s.bumpScale=e.bumpScale),e.normalMap!==void 0&&(s.normalMap=n(e.normalMap)),e.normalMapType!==void 0&&(s.normalMapType=e.normalMapType),e.normalScale!==void 0){let u=e.normalScale;Array.isArray(u)===!1&&(u=[u,u]),s.normalScale=new ze().fromArray(u)}return e.displacementMap!==void 0&&(s.displacementMap=n(e.displacementMap)),e.displacementScale!==void 0&&(s.displacementScale=e.displacementScale),e.displacementBias!==void 0&&(s.displacementBias=e.displacementBias),e.roughnessMap!==void 0&&(s.roughnessMap=n(e.roughnessMap)),e.metalnessMap!==void 0&&(s.metalnessMap=n(e.metalnessMap)),e.emissiveMap!==void 0&&(s.emissiveMap=n(e.emissiveMap)),e.emissiveIntensity!==void 0&&(s.emissiveIntensity=e.emissiveIntensity),e.specularMap!==void 0&&(s.specularMap=n(e.specularMap)),e.specularIntensityMap!==void 0&&(s.specularIntensityMap=n(e.specularIntensityMap)),e.specularColorMap!==void 0&&(s.specularColorMap=n(e.specularColorMap)),e.envMap!==void 0&&(s.envMap=n(e.envMap)),e.envMapRotation!==void 0&&s.envMapRotation.fromArray(e.envMapRotation),e.envMapIntensity!==void 0&&(s.envMapIntensity=e.envMapIntensity),e.reflectivity!==void 0&&(s.reflectivity=e.reflectivity),e.refractionRatio!==void 0&&(s.refractionRatio=e.refractionRatio),e.lightMap!==void 0&&(s.lightMap=n(e.lightMap)),e.lightMapIntensity!==void 0&&(s.lightMapIntensity=e.lightMapIntensity),e.aoMap!==void 0&&(s.aoMap=n(e.aoMap)),e.aoMapIntensity!==void 0&&(s.aoMapIntensity=e.aoMapIntensity),e.gradientMap!==void 0&&(s.gradientMap=n(e.gradientMap)),e.clearcoatMap!==void 0&&(s.clearcoatMap=n(e.clearcoatMap)),e.clearcoatRoughnessMap!==void 0&&(s.clearcoatRoughnessMap=n(e.clearcoatRoughnessMap)),e.clearcoatNormalMap!==void 0&&(s.clearcoatNormalMap=n(e.clearcoatNormalMap)),e.clearcoatNormalScale!==void 0&&(s.clearcoatNormalScale=new ze().fromArray(e.clearcoatNormalScale)),e.iridescenceMap!==void 0&&(s.iridescenceMap=n(e.iridescenceMap)),e.iridescenceThicknessMap!==void 0&&(s.iridescenceThicknessMap=n(e.iridescenceThicknessMap)),e.transmissionMap!==void 0&&(s.transmissionMap=n(e.transmissionMap)),e.thicknessMap!==void 0&&(s.thicknessMap=n(e.thicknessMap)),e.anisotropyMap!==void 0&&(s.anisotropyMap=n(e.anisotropyMap)),e.sheenColorMap!==void 0&&(s.sheenColorMap=n(e.sheenColorMap)),e.sheenRoughnessMap!==void 0&&(s.sheenRoughnessMap=n(e.sheenRoughnessMap)),s}setTextures(e){return this.textures=e,this}createMaterialFromType(e){return Zy.createMaterialFromType(e)}static createMaterialFromType(e){const t={ShadowMaterial:dT,SpriteMaterial:Ub,RawShaderMaterial:Gb,ShaderMaterial:yr,PointsMaterial:Ob,MeshPhysicalMaterial:pT,MeshStandardMaterial:Xb,MeshPhongMaterial:mT,MeshToonMaterial:gT,MeshNormalMaterial:vT,MeshLambertMaterial:yT,MeshDepthMaterial:Wb,MeshDistanceMaterial:qb,MeshBasicMaterial:Vu,MeshMatcapMaterial:_T,LineDashedMaterial:xT,LineBasicMaterial:ss,Material:Ba};return new t[e]}}class Jx{static extractUrlBase(e){const t=e.lastIndexOf("/");return t===-1?"./":e.slice(0,t+1)}static resolveURL(e,t){return typeof e!="string"||e===""?"":(/^https?:\/\//i.test(t)&&/^\//.test(e)&&(t=t.replace(/(^https?:\/\/[^\/]+).*/i,"$1")),/^(https?:)?\/\//i.test(e)||/^data:.*,.*$/i.test(e)||/^blob:.*$/i.test(e)?e:t+e)}}class UT extends Kt{constructor(){super(),this.isInstancedBufferGeometry=!0,this.type="InstancedBufferGeometry",this.instanceCount=1/0}copy(e){return super.copy(e),this.instanceCount=e.instanceCount,this}toJSON(){const e=super.toJSON();return e.instanceCount=this.instanceCount,e.isInstancedBufferGeometry=!0,e}}class IT extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(u.manager);f.setPath(u.path),f.setRequestHeader(u.requestHeader),f.setWithCredentials(u.withCredentials),f.load(e,function(h){try{t(u.parse(JSON.parse(h)))}catch(m){s?s(m):Rt(m),u.manager.itemError(e)}},n,s)}parse(e){const t={},n={};function s(M,A){if(t[A]!==void 0)return t[A];const w=M.interleavedBuffers[A],E=u(M,w.buffer),N=Hh(w.type,E),D=new Ly(N,w.stride);return D.uuid=w.uuid,t[A]=D,D}function u(M,A){if(n[A]!==void 0)return n[A];const w=M.arrayBuffers[A],E=new Uint32Array(w).buffer;return n[A]=E,E}const f=e.isInstancedBufferGeometry?new UT:new Kt,h=e.data.index;if(h!==void 0){const M=Hh(h.type,h.array);f.setIndex(new Xn(M,1))}const m=e.data.attributes;for(const M in m){const A=m[M];let R;if(A.isInterleavedBufferAttribute){const w=s(e.data,A.data);R=new nf(w,A.itemSize,A.offset,A.normalized)}else{const w=Hh(A.type,A.array),E=A.isInstancedBufferAttribute?$h:Xn;R=new E(w,A.itemSize,A.normalized)}A.name!==void 0&&(R.name=A.name),A.usage!==void 0&&R.setUsage(A.usage),f.setAttribute(M,R)}const g=e.data.morphAttributes;if(g)for(const M in g){const A=g[M],R=[];for(let w=0,E=A.length;w0){const m=new Qb(t);u=new Mm(m),u.setCrossOrigin(this.crossOrigin);for(let g=0,_=e.length;g<_;g++){const x=e[g],b=x.url;if(Array.isArray(b)){const M=[];for(let A=0,R=b.length;A0){s=new Mm(this.manager),s.setCrossOrigin(this.crossOrigin);for(let f=0,h=e.length;f{let E=null,N=null;return w.boundingBox!==void 0&&(E=new za().fromJSON(w.boundingBox)),w.boundingSphere!==void 0&&(N=new _a().fromJSON(w.boundingSphere)),{...w,boundingBox:E,boundingSphere:N}}),f._instanceInfo=e.instanceInfo,f._availableInstanceIds=e._availableInstanceIds,f._availableGeometryIds=e._availableGeometryIds,f._nextIndexStart=e.nextIndexStart,f._nextVertexStart=e.nextVertexStart,f._geometryCount=e.geometryCount,f._maxInstanceCount=e.maxInstanceCount,f._maxVertexCount=e.maxVertexCount,f._maxIndexCount=e.maxIndexCount,f._geometryInitialized=e.geometryInitialized,f._matricesTexture=g(e.matricesTexture.uuid),f._indirectTexture=g(e.indirectTexture.uuid),e.colorsTexture!==void 0&&(f._colorsTexture=g(e.colorsTexture.uuid)),e.boundingSphere!==void 0&&(f.boundingSphere=new _a().fromJSON(e.boundingSphere)),e.boundingBox!==void 0&&(f.boundingBox=new za().fromJSON(e.boundingBox));break;case"LOD":f=new YE;break;case"Line":f=new Fu(h(e.geometry),m(e.material));break;case"LineLoop":f=new JE(h(e.geometry),m(e.material));break;case"LineSegments":f=new Vo(h(e.geometry),m(e.material));break;case"PointCloud":case"Points":f=new $E(h(e.geometry),m(e.material));break;case"Sprite":f=new jE(m(e.material));break;case"Group":f=new Gh;break;case"Bone":f=new Ib;break;default:f=new Cn}if(f.uuid=e.uuid,e.name!==void 0&&(f.name=e.name),e.matrix!==void 0?(f.matrix.fromArray(e.matrix),e.matrixAutoUpdate!==void 0&&(f.matrixAutoUpdate=e.matrixAutoUpdate),f.matrixAutoUpdate&&f.matrix.decompose(f.position,f.quaternion,f.scale)):(e.position!==void 0&&f.position.fromArray(e.position),e.rotation!==void 0&&f.rotation.fromArray(e.rotation),e.quaternion!==void 0&&f.quaternion.fromArray(e.quaternion),e.scale!==void 0&&f.scale.fromArray(e.scale)),e.up!==void 0&&f.up.fromArray(e.up),e.castShadow!==void 0&&(f.castShadow=e.castShadow),e.receiveShadow!==void 0&&(f.receiveShadow=e.receiveShadow),e.shadow&&(e.shadow.intensity!==void 0&&(f.shadow.intensity=e.shadow.intensity),e.shadow.bias!==void 0&&(f.shadow.bias=e.shadow.bias),e.shadow.normalBias!==void 0&&(f.shadow.normalBias=e.shadow.normalBias),e.shadow.radius!==void 0&&(f.shadow.radius=e.shadow.radius),e.shadow.mapSize!==void 0&&f.shadow.mapSize.fromArray(e.shadow.mapSize),e.shadow.camera!==void 0&&(f.shadow.camera=this.parseObject(e.shadow.camera))),e.visible!==void 0&&(f.visible=e.visible),e.frustumCulled!==void 0&&(f.frustumCulled=e.frustumCulled),e.renderOrder!==void 0&&(f.renderOrder=e.renderOrder),e.userData!==void 0&&(f.userData=e.userData),e.layers!==void 0&&(f.layers.mask=e.layers),e.children!==void 0){const b=e.children;for(let M=0;M"u"&&ft("ImageBitmapLoader: createImageBitmap() not supported."),typeof fetch>"u"&&ft("ImageBitmapLoader: fetch() not supported."),this.options={premultiplyAlpha:"none"},this._abortController=new AbortController}setOptions(e){return this.options=e,this}load(e,t,n,s){e===void 0&&(e=""),this.path!==void 0&&(e=this.path+e),e=this.manager.resolveURL(e);const u=this,f=Oo.get(`image-bitmap:${e}`);if(f!==void 0){if(u.manager.itemStart(e),f.then){f.then(g=>{if(yx.has(f)===!0)s&&s(yx.get(f)),u.manager.itemError(e),u.manager.itemEnd(e);else return t&&t(g),u.manager.itemEnd(e),g});return}return setTimeout(function(){t&&t(f),u.manager.itemEnd(e)},0),f}const h={};h.credentials=this.crossOrigin==="anonymous"?"same-origin":"include",h.headers=this.requestHeader,h.signal=typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal;const m=fetch(e,h).then(function(g){return g.blob()}).then(function(g){return createImageBitmap(g,Object.assign(u.options,{colorSpaceConversion:"none"}))}).then(function(g){return Oo.add(`image-bitmap:${e}`,g),t&&t(g),u.manager.itemEnd(e),g}).catch(function(g){s&&s(g),yx.set(m,g),Oo.remove(`image-bitmap:${e}`),u.manager.itemError(e),u.manager.itemEnd(e)});Oo.add(`image-bitmap:${e}`,m),u.manager.itemStart(e)}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}let ev;class $b{static getContext(){return ev===void 0&&(ev=new(window.AudioContext||window.webkitAudioContext)),ev}static setContext(e){ev=e}}class jN extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(this.manager);f.setResponseType("arraybuffer"),f.setPath(this.path),f.setRequestHeader(this.requestHeader),f.setWithCredentials(this.withCredentials),f.load(e,function(m){try{const g=m.slice(0);$b.getContext().decodeAudioData(g,function(x){t(x)}).catch(h)}catch(g){h(g)}},n,s);function h(m){s?s(m):Rt(m),u.manager.itemError(e)}}}const KM=new Xt,JM=new Xt,Oc=new Xt;class YN{constructor(){this.type="StereoCamera",this.aspect=1,this.eyeSep=.064,this.cameraL=new zi,this.cameraL.layers.enable(1),this.cameraL.matrixAutoUpdate=!1,this.cameraR=new zi,this.cameraR.layers.enable(2),this.cameraR.matrixAutoUpdate=!1,this._cache={focus:null,fov:null,aspect:null,near:null,far:null,zoom:null,eyeSep:null}}update(e){const t=this._cache;if(t.focus!==e.focus||t.fov!==e.fov||t.aspect!==e.aspect*this.aspect||t.near!==e.near||t.far!==e.far||t.zoom!==e.zoom||t.eyeSep!==this.eyeSep){t.focus=e.focus,t.fov=e.fov,t.aspect=e.aspect*this.aspect,t.near=e.near,t.far=e.far,t.zoom=e.zoom,t.eyeSep=this.eyeSep,Oc.copy(e.projectionMatrix);const s=t.eyeSep/2,u=s*t.near/t.focus,f=t.near*Math.tan(Jc*t.fov*.5)/t.zoom;let h,m;JM.elements[12]=-s,KM.elements[12]=s,h=-f*t.aspect+u,m=f*t.aspect+u,Oc.elements[0]=2*t.near/(m-h),Oc.elements[8]=(m+h)/(m-h),this.cameraL.projectionMatrix.copy(Oc),h=-f*t.aspect-u,m=f*t.aspect-u,Oc.elements[0]=2*t.near/(m-h),Oc.elements[8]=(m+h)/(m-h),this.cameraR.projectionMatrix.copy(Oc)}this.cameraL.matrixWorld.copy(e.matrixWorld).multiply(JM),this.cameraR.matrixWorld.copy(e.matrixWorld).multiply(KM)}}class OT extends zi{constructor(e=[]){super(),this.isArrayCamera=!0,this.isMultiViewCamera=!1,this.cameras=e}}class eS{constructor(e=!0){this.autoStart=e,this.startTime=0,this.oldTime=0,this.elapsedTime=0,this.running=!1}start(){this.startTime=performance.now(),this.oldTime=this.startTime,this.elapsedTime=0,this.running=!0}stop(){this.getElapsedTime(),this.running=!1,this.autoStart=!1}getElapsedTime(){return this.getDelta(),this.elapsedTime}getDelta(){let e=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){const t=performance.now();e=(t-this.oldTime)/1e3,this.oldTime=t,this.elapsedTime+=e}return e}}const Pc=new j,_x=new Pa,ZN=new j,zc=new j,Bc=new j;class QN extends Cn{constructor(){super(),this.type="AudioListener",this.context=$b.getContext(),this.gain=this.context.createGain(),this.gain.connect(this.context.destination),this.filter=null,this.timeDelta=0,this._clock=new eS}getInput(){return this.gain}removeFilter(){return this.filter!==null&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null),this}getFilter(){return this.filter}setFilter(e){return this.filter!==null?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):this.gain.disconnect(this.context.destination),this.filter=e,this.gain.connect(this.filter),this.filter.connect(this.context.destination),this}getMasterVolume(){return this.gain.gain.value}setMasterVolume(e){return this.gain.gain.setTargetAtTime(e,this.context.currentTime,.01),this}updateMatrixWorld(e){super.updateMatrixWorld(e);const t=this.context.listener;if(this.timeDelta=this._clock.getDelta(),this.matrixWorld.decompose(Pc,_x,ZN),zc.set(0,0,-1).applyQuaternion(_x),Bc.set(0,1,0).applyQuaternion(_x),t.positionX){const n=this.context.currentTime+this.timeDelta;t.positionX.linearRampToValueAtTime(Pc.x,n),t.positionY.linearRampToValueAtTime(Pc.y,n),t.positionZ.linearRampToValueAtTime(Pc.z,n),t.forwardX.linearRampToValueAtTime(zc.x,n),t.forwardY.linearRampToValueAtTime(zc.y,n),t.forwardZ.linearRampToValueAtTime(zc.z,n),t.upX.linearRampToValueAtTime(Bc.x,n),t.upY.linearRampToValueAtTime(Bc.y,n),t.upZ.linearRampToValueAtTime(Bc.z,n)}else t.setPosition(Pc.x,Pc.y,Pc.z),t.setOrientation(zc.x,zc.y,zc.z,Bc.x,Bc.y,Bc.z)}}let PT=class extends Cn{constructor(e){super(),this.type="Audio",this.listener=e,this.context=e.context,this.gain=this.context.createGain(),this.gain.connect(e.getInput()),this.autoplay=!1,this.buffer=null,this.detune=0,this.loop=!1,this.loopStart=0,this.loopEnd=0,this.offset=0,this.duration=void 0,this.playbackRate=1,this.isPlaying=!1,this.hasPlaybackControl=!0,this.source=null,this.sourceType="empty",this._startedAt=0,this._progress=0,this._connected=!1,this.filters=[]}getOutput(){return this.gain}setNodeSource(e){return this.hasPlaybackControl=!1,this.sourceType="audioNode",this.source=e,this.connect(),this}setMediaElementSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaNode",this.source=this.context.createMediaElementSource(e),this.connect(),this}setMediaStreamSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaStreamNode",this.source=this.context.createMediaStreamSource(e),this.connect(),this}setBuffer(e){return this.buffer=e,this.sourceType="buffer",this.autoplay&&this.play(),this}play(e=0){if(this.isPlaying===!0){ft("Audio: Audio is already playing.");return}if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}this._startedAt=this.context.currentTime+e;const t=this.context.createBufferSource();return t.buffer=this.buffer,t.loop=this.loop,t.loopStart=this.loopStart,t.loopEnd=this.loopEnd,t.onended=this.onEnded.bind(this),t.start(this._startedAt,this._progress+this.offset,this.duration),this.isPlaying=!0,this.source=t,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()}pause(){if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}return this.isPlaying===!0&&(this._progress+=Math.max(this.context.currentTime-this._startedAt,0)*this.playbackRate,this.loop===!0&&(this._progress=this._progress%(this.duration||this.buffer.duration)),this.source.stop(),this.source.onended=null,this.isPlaying=!1),this}stop(e=0){if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}return this._progress=0,this.source!==null&&(this.source.stop(this.context.currentTime+e),this.source.onended=null),this.isPlaying=!1,this}connect(){if(this.filters.length>0){this.source.connect(this.filters[0]);for(let e=1,t=this.filters.length;e0){this.source.disconnect(this.filters[0]);for(let e=1,t=this.filters.length;e0&&this._mixBufferRegionAdditive(n,s,this._addIndex*t,1,t);for(let m=t,g=t+t;m!==g;++m)if(n[m]!==n[m+t]){h.setValue(n,s);break}}saveOriginalState(){const e=this.binding,t=this.buffer,n=this.valueSize,s=n*this._origIndex;e.getValue(t,s);for(let u=n,f=s;u!==f;++u)t[u]=t[s+u%n];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){const e=this.valueSize*3;this.binding.setValue(this.buffer,e)}_setAdditiveIdentityNumeric(){const e=this._addIndex*this.valueSize,t=e+this.valueSize;for(let n=e;n=.5)for(let f=0;f!==u;++f)e[t+f]=e[n+f]}_slerp(e,t,n,s){Pa.slerpFlat(e,t,e,t,e,n,s)}_slerpAdditive(e,t,n,s,u){const f=this._workIndex*u;Pa.multiplyQuaternionsFlat(e,f,e,t,e,n),Pa.slerpFlat(e,t,e,t,e,f,s)}_lerp(e,t,n,s,u){const f=1-s;for(let h=0;h!==u;++h){const m=t+h;e[m]=e[m]*f+e[n+h]*s}}_lerpAdditive(e,t,n,s,u){for(let f=0;f!==u;++f){const h=t+f;e[h]=e[h]+e[n+f]*s}}}const tS="\\[\\]\\.:\\/",eD=new RegExp("["+tS+"]","g"),nS="[^"+tS+"]",tD="[^"+tS.replace("\\.","")+"]",nD=/((?:WC+[\/:])*)/.source.replace("WC",nS),iD=/(WCOD+)?/.source.replace("WCOD",tD),aD=/(?:\.(WC+)(?:\[(.+)\])?)?/.source.replace("WC",nS),sD=/\.(WC+)(?:\[(.+)\])?/.source.replace("WC",nS),rD=new RegExp("^"+nD+iD+aD+sD+"$"),oD=["material","materials","bones","map"];class lD{constructor(e,t,n){const s=n||wn.parseTrackName(t);this._targetGroup=e,this._bindings=e.subscribe_(t,s)}getValue(e,t){this.bind();const n=this._targetGroup.nCachedObjects_,s=this._bindings[n];s!==void 0&&s.getValue(e,t)}setValue(e,t){const n=this._bindings;for(let s=this._targetGroup.nCachedObjects_,u=n.length;s!==u;++s)n[s].setValue(e,t)}bind(){const e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].bind()}unbind(){const e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].unbind()}}class wn{constructor(e,t,n){this.path=t,this.parsedPath=n||wn.parseTrackName(t),this.node=wn.findNode(e,this.parsedPath.nodeName),this.rootNode=e,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}static create(e,t,n){return e&&e.isAnimationObjectGroup?new wn.Composite(e,t,n):new wn(e,t,n)}static sanitizeNodeName(e){return e.replace(/\s/g,"_").replace(eD,"")}static parseTrackName(e){const t=rD.exec(e);if(t===null)throw new Error("PropertyBinding: Cannot parse trackName: "+e);const n={nodeName:t[2],objectName:t[3],objectIndex:t[4],propertyName:t[5],propertyIndex:t[6]},s=n.nodeName&&n.nodeName.lastIndexOf(".");if(s!==void 0&&s!==-1){const u=n.nodeName.substring(s+1);oD.indexOf(u)!==-1&&(n.nodeName=n.nodeName.substring(0,s),n.objectName=u)}if(n.propertyName===null||n.propertyName.length===0)throw new Error("PropertyBinding: can not parse propertyName from trackName: "+e);return n}static findNode(e,t){if(t===void 0||t===""||t==="."||t===-1||t===e.name||t===e.uuid)return e;if(e.skeleton){const n=e.skeleton.getBoneByName(t);if(n!==void 0)return n}if(e.children){const n=function(u){for(let f=0;f=u){const x=u++,b=e[x];t[b.uuid]=_,e[_]=b,t[g]=x,e[x]=m;for(let M=0,A=s;M!==A;++M){const R=n[M],w=R[x],E=R[_];R[_]=w,R[x]=E}}}this.nCachedObjects_=u}uncache(){const e=this._objects,t=this._indicesByUUID,n=this._bindings,s=n.length;let u=this.nCachedObjects_,f=e.length;for(let h=0,m=arguments.length;h!==m;++h){const g=arguments[h],_=g.uuid,x=t[_];if(x!==void 0)if(delete t[_],x0&&(t[M.uuid]=x),e[x]=M,e.pop();for(let A=0,R=s;A!==R;++A){const w=n[A];w[x]=w[b],w.pop()}}}this.nCachedObjects_=u}subscribe_(e,t){const n=this._bindingsIndicesByPath;let s=n[e];const u=this._bindings;if(s!==void 0)return u[s];const f=this._paths,h=this._parsedPaths,m=this._objects,g=m.length,_=this.nCachedObjects_,x=new Array(g);s=u.length,n[e]=s,f.push(e),h.push(t),u.push(x);for(let b=_,M=m.length;b!==M;++b){const A=m[b];x[b]=new wn(A,e,t)}return x}unsubscribe_(e){const t=this._bindingsIndicesByPath,n=t[e];if(n!==void 0){const s=this._paths,u=this._parsedPaths,f=this._bindings,h=f.length-1,m=f[h],g=e[h];t[g]=n,f[n]=m,f.pop(),u[n]=u[h],u.pop(),s[n]=s[h],s.pop()}}}class BT{constructor(e,t,n=null,s=t.blendMode){this._mixer=e,this._clip=t,this._localRoot=n,this.blendMode=s;const u=t.tracks,f=u.length,h=new Array(f),m={endingStart:Yc,endingEnd:Yc};for(let g=0;g!==f;++g){const _=u[g].createInterpolant(null);h[g]=_,_.settings=m}this._interpolantSettings=m,this._interpolants=h,this._propertyBindings=new Array(f),this._cacheIndex=null,this._byClipCacheIndex=null,this._timeScaleInterpolant=null,this._weightInterpolant=null,this.loop=CE,this._loopCount=-1,this._startTime=null,this.time=0,this.timeScale=1,this._effectiveTimeScale=1,this.weight=1,this._effectiveWeight=1,this.repetitions=1/0,this.paused=!1,this.enabled=!0,this.clampWhenFinished=!1,this.zeroSlopeAtStart=!0,this.zeroSlopeAtEnd=!0}play(){return this._mixer._activateAction(this),this}stop(){return this._mixer._deactivateAction(this),this.reset()}reset(){return this.paused=!1,this.enabled=!0,this.time=0,this._loopCount=-1,this._startTime=null,this.stopFading().stopWarping()}isRunning(){return this.enabled&&!this.paused&&this.timeScale!==0&&this._startTime===null&&this._mixer._isActiveAction(this)}isScheduled(){return this._mixer._isActiveAction(this)}startAt(e){return this._startTime=e,this}setLoop(e,t){return this.loop=e,this.repetitions=t,this}setEffectiveWeight(e){return this.weight=e,this._effectiveWeight=this.enabled?e:0,this.stopFading()}getEffectiveWeight(){return this._effectiveWeight}fadeIn(e){return this._scheduleFading(e,0,1)}fadeOut(e){return this._scheduleFading(e,1,0)}crossFadeFrom(e,t,n=!1){if(e.fadeOut(t),this.fadeIn(t),n===!0){const s=this._clip.duration,u=e._clip.duration,f=u/s,h=s/u;e.warp(1,f,t),this.warp(h,1,t)}return this}crossFadeTo(e,t,n=!1){return e.crossFadeFrom(this,t,n)}stopFading(){const e=this._weightInterpolant;return e!==null&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}setEffectiveTimeScale(e){return this.timeScale=e,this._effectiveTimeScale=this.paused?0:e,this.stopWarping()}getEffectiveTimeScale(){return this._effectiveTimeScale}setDuration(e){return this.timeScale=this._clip.duration/e,this.stopWarping()}syncWith(e){return this.time=e.time,this.timeScale=e.timeScale,this.stopWarping()}halt(e){return this.warp(this._effectiveTimeScale,0,e)}warp(e,t,n){const s=this._mixer,u=s.time,f=this.timeScale;let h=this._timeScaleInterpolant;h===null&&(h=s._lendControlInterpolant(),this._timeScaleInterpolant=h);const m=h.parameterPositions,g=h.sampleValues;return m[0]=u,m[1]=u+n,g[0]=e/f,g[1]=t/f,this}stopWarping(){const e=this._timeScaleInterpolant;return e!==null&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}getMixer(){return this._mixer}getClip(){return this._clip}getRoot(){return this._localRoot||this._mixer._root}_update(e,t,n,s){if(!this.enabled){this._updateWeight(e);return}const u=this._startTime;if(u!==null){const m=(e-u)*n;m<0||n===0?t=0:(this._startTime=null,t=n*m)}t*=this._updateTimeScale(e);const f=this._updateTime(t),h=this._updateWeight(e);if(h>0){const m=this._interpolants,g=this._propertyBindings;switch(this.blendMode){case Ab:for(let _=0,x=m.length;_!==x;++_)m[_].evaluate(f),g[_].accumulateAdditive(h);break;case Ey:default:for(let _=0,x=m.length;_!==x;++_)m[_].evaluate(f),g[_].accumulate(s,h)}}}_updateWeight(e){let t=0;if(this.enabled){t=this.weight;const n=this._weightInterpolant;if(n!==null){const s=n.evaluate(e)[0];t*=s,e>n.parameterPositions[1]&&(this.stopFading(),s===0&&(this.enabled=!1))}}return this._effectiveWeight=t,t}_updateTimeScale(e){let t=0;if(!this.paused){t=this.timeScale;const n=this._timeScaleInterpolant;if(n!==null){const s=n.evaluate(e)[0];t*=s,e>n.parameterPositions[1]&&(this.stopWarping(),t===0?this.paused=!0:this.timeScale=t)}}return this._effectiveTimeScale=t,t}_updateTime(e){const t=this._clip.duration,n=this.loop;let s=this.time+e,u=this._loopCount;const f=n===RE;if(e===0)return u===-1?s:f&&(u&1)===1?t-s:s;if(n===wE){u===-1&&(this._loopCount=0,this._setEndings(!0,!0,!1));e:{if(s>=t)s=t;else if(s<0)s=0;else{this.time=s;break e}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=s,this._mixer.dispatchEvent({type:"finished",action:this,direction:e<0?-1:1})}}else{if(u===-1&&(e>=0?(u=0,this._setEndings(!0,this.repetitions===0,f)):this._setEndings(this.repetitions===0,!0,f)),s>=t||s<0){const h=Math.floor(s/t);s-=t*h,u+=Math.abs(h);const m=this.repetitions-u;if(m<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,s=e>0?t:0,this.time=s,this._mixer.dispatchEvent({type:"finished",action:this,direction:e>0?1:-1});else{if(m===1){const g=e<0;this._setEndings(g,!g,f)}else this._setEndings(!1,!1,f);this._loopCount=u,this.time=s,this._mixer.dispatchEvent({type:"loop",action:this,loopDelta:h})}}else this.time=s;if(f&&(u&1)===1)return t-s}return s}_setEndings(e,t,n){const s=this._interpolantSettings;n?(s.endingStart=Zc,s.endingEnd=Zc):(e?s.endingStart=this.zeroSlopeAtStart?Zc:Yc:s.endingStart=hm,t?s.endingEnd=this.zeroSlopeAtEnd?Zc:Yc:s.endingEnd=hm)}_scheduleFading(e,t,n){const s=this._mixer,u=s.time;let f=this._weightInterpolant;f===null&&(f=s._lendControlInterpolant(),this._weightInterpolant=f);const h=f.parameterPositions,m=f.sampleValues;return h[0]=u,m[0]=t,h[1]=u+e,m[1]=n,this}}const cD=new Float32Array(1);class fD extends ko{constructor(e){super(),this._root=e,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(e,t){const n=e._localRoot||this._root,s=e._clip.tracks,u=s.length,f=e._propertyBindings,h=e._interpolants,m=n.uuid,g=this._bindingsByRootAndName;let _=g[m];_===void 0&&(_={},g[m]=_);for(let x=0;x!==u;++x){const b=s[x],M=b.name;let A=_[M];if(A!==void 0)++A.referenceCount,f[x]=A;else{if(A=f[x],A!==void 0){A._cacheIndex===null&&(++A.referenceCount,this._addInactiveBinding(A,m,M));continue}const R=t&&t._propertyBindings[x].binding.parsedPath;A=new zT(wn.create(n,M,R),b.ValueTypeName,b.getValueSize()),++A.referenceCount,this._addInactiveBinding(A,m,M),f[x]=A}h[x].resultBuffer=A.buffer}}_activateAction(e){if(!this._isActiveAction(e)){if(e._cacheIndex===null){const n=(e._localRoot||this._root).uuid,s=e._clip.uuid,u=this._actionsByClip[s];this._bindAction(e,u&&u.knownActions[0]),this._addInactiveAction(e,s,n)}const t=e._propertyBindings;for(let n=0,s=t.length;n!==s;++n){const u=t[n];u.useCount++===0&&(this._lendBinding(u),u.saveOriginalState())}this._lendAction(e)}}_deactivateAction(e){if(this._isActiveAction(e)){const t=e._propertyBindings;for(let n=0,s=t.length;n!==s;++n){const u=t[n];--u.useCount===0&&(u.restoreOriginalState(),this._takeBackBinding(u))}this._takeBackAction(e)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;const e=this;this.stats={actions:{get total(){return e._actions.length},get inUse(){return e._nActiveActions}},bindings:{get total(){return e._bindings.length},get inUse(){return e._nActiveBindings}},controlInterpolants:{get total(){return e._controlInterpolants.length},get inUse(){return e._nActiveControlInterpolants}}}}_isActiveAction(e){const t=e._cacheIndex;return t!==null&&t=0;--n)e[n].stop();return this}update(e){e*=this.timeScale;const t=this._actions,n=this._nActiveActions,s=this.time+=e,u=Math.sign(e),f=this._accuIndex^=1;for(let g=0;g!==n;++g)t[g]._update(s,e,u,f);const h=this._bindings,m=this._nActiveBindings;for(let g=0;g!==m;++g)h[g].apply(f);return this}setTime(e){this.time=0;for(let t=0;t=this.min.x&&e.x<=this.max.x&&e.y>=this.min.y&&e.y<=this.max.y}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(e){return e.max.x>=this.min.x&&e.min.x<=this.max.x&&e.max.y>=this.min.y&&e.min.y<=this.max.y}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,n1).distanceTo(e)}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}}const i1=new j,tv=new j,Oh=new j,Ph=new j,xx=new j,bD=new j,SD=new j;class MD{constructor(e=new j,t=new j){this.start=e,this.end=t}set(e,t){return this.start.copy(e),this.end.copy(t),this}copy(e){return this.start.copy(e.start),this.end.copy(e.end),this}getCenter(e){return e.addVectors(this.start,this.end).multiplyScalar(.5)}delta(e){return e.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(e,t){return this.delta(t).multiplyScalar(e).add(this.start)}closestPointToPointParameter(e,t){i1.subVectors(e,this.start),tv.subVectors(this.end,this.start);const n=tv.dot(tv);let u=tv.dot(i1)/n;return t&&(u=Ht(u,0,1)),u}closestPointToPoint(e,t,n){const s=this.closestPointToPointParameter(e,t);return this.delta(n).multiplyScalar(s).add(this.start)}distanceSqToLine3(e,t=bD,n=SD){const s=10000000000000001e-32;let u,f;const h=this.start,m=e.start,g=this.end,_=e.end;Oh.subVectors(g,h),Ph.subVectors(_,m),xx.subVectors(h,m);const x=Oh.dot(Oh),b=Ph.dot(Ph),M=Ph.dot(xx);if(x<=s&&b<=s)return t.copy(h),n.copy(m),t.sub(n),t.dot(t);if(x<=s)u=0,f=M/b,f=Ht(f,0,1);else{const A=Oh.dot(xx);if(b<=s)f=0,u=Ht(-A/x,0,1);else{const R=Oh.dot(Ph),w=x*b-R*R;w!==0?u=Ht((R*M-A*b)/w,0,1):u=0,f=(R*u+M)/b,f<0?(f=0,u=Ht(-A/x,0,1)):f>1&&(f=1,u=Ht((R-A)/x,0,1))}}return t.copy(h).add(Oh.multiplyScalar(u)),n.copy(m).add(Ph.multiplyScalar(f)),t.sub(n),t.dot(t)}applyMatrix4(e){return this.start.applyMatrix4(e),this.end.applyMatrix4(e),this}equals(e){return e.start.equals(this.start)&&e.end.equals(this.end)}clone(){return new this.constructor().copy(this)}}const a1=new j;class ED extends Cn{constructor(e,t){super(),this.light=e,this.matrixAutoUpdate=!1,this.color=t,this.type="SpotLightHelper";const n=new Kt,s=[0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,-1,0,1,0,0,0,0,1,1,0,0,0,0,-1,1];for(let f=0,h=1,m=32;f1)for(let x=0;x.99999)this.quaternion.set(0,0,0,1);else if(e.y<-.99999)this.quaternion.set(1,0,0,0);else{u1.set(e.z,0,-e.x).normalize();const t=Math.acos(e.y);this.quaternion.setFromAxisAngle(u1,t)}}setLength(e,t=e*.2,n=t*.2){this.line.scale.set(1,Math.max(1e-4,e-t),1),this.line.updateMatrix(),this.cone.scale.set(n,t,n),this.cone.position.y=e,this.cone.updateMatrix()}setColor(e){this.line.material.color.set(e),this.cone.material.color.set(e)}copy(e){return super.copy(e,!1),this.line.copy(e.line),this.cone.copy(e.cone),this}dispose(){this.line.geometry.dispose(),this.line.material.dispose(),this.cone.geometry.dispose(),this.cone.material.dispose()}}class zD extends Vo{constructor(e=1){const t=[0,0,0,e,0,0,0,0,0,0,e,0,0,0,0,0,0,e],n=[1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],s=new Kt;s.setAttribute("position",new bt(t,3)),s.setAttribute("color",new bt(n,3));const u=new ss({vertexColors:!0,toneMapped:!1});super(s,u),this.type="AxesHelper"}setColors(e,t,n){const s=new yt,u=this.geometry.attributes.color.array;return s.set(e),s.toArray(u,0),s.toArray(u,3),s.set(t),s.toArray(u,6),s.toArray(u,9),s.set(n),s.toArray(u,12),s.toArray(u,15),this.geometry.attributes.color.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}}class BD{constructor(){this.type="ShapePath",this.color=new yt,this.subPaths=[],this.currentPath=null}moveTo(e,t){return this.currentPath=new ly,this.subPaths.push(this.currentPath),this.currentPath.moveTo(e,t),this}lineTo(e,t){return this.currentPath.lineTo(e,t),this}quadraticCurveTo(e,t,n,s){return this.currentPath.quadraticCurveTo(e,t,n,s),this}bezierCurveTo(e,t,n,s,u,f){return this.currentPath.bezierCurveTo(e,t,n,s,u,f),this}splineThru(e){return this.currentPath.splineThru(e),this}toShapes(e){function t(E){const N=[];for(let D=0,U=E.length;DNumber.EPSILON){if(P<0&&(H=N[z],I=-I,W=N[B],P=-P),E.yW.y)continue;if(E.y===H.y){if(E.x===H.x)return!0}else{const Z=P*(E.x-H.x)-I*(E.y-H.y);if(Z===0)return!0;if(Z<0)continue;U=!U}}else{if(E.y!==H.y)continue;if(W.x<=E.x&&E.x<=H.x||H.x<=E.x&&E.x<=W.x)return!0}}return U}const s=jr.isClockWise,u=this.subPaths;if(u.length===0)return[];let f,h,m;const g=[];if(u.length===1)return h=u[0],m=new $c,m.curves=h.curves,g.push(m),g;let _=!s(u[0].getPoints());_=e?!_:_;const x=[],b=[];let M=[],A=0,R;b[A]=void 0,M[A]=[];for(let E=0,N=u.length;E1){let E=!1,N=0;for(let D=0,U=b.length;D0&&E===!1&&(M=x)}let w;for(let E=0,N=b.length;Ee?(r.repeat.x=1,r.repeat.y=t/e,r.offset.x=0,r.offset.y=(1-r.repeat.y)/2):(r.repeat.x=e/t,r.repeat.y=1,r.offset.x=(1-r.repeat.x)/2,r.offset.y=0),r}function VD(r,e){const t=r.image&&r.image.width?r.image.width/r.image.height:1;return t>e?(r.repeat.x=e/t,r.repeat.y=1,r.offset.x=(1-r.repeat.x)/2,r.offset.y=0):(r.repeat.x=1,r.repeat.y=t/e,r.offset.x=0,r.offset.y=(1-r.repeat.y)/2),r}function HD(r){return r.repeat.x=1,r.repeat.y=1,r.offset.x=0,r.offset.y=0,r}function tb(r,e,t,n){const s=GD(n);switch(t){case Eb:return r*e;case by:return r*e/s.components*s.byteLength;case wm:return r*e/s.components*s.byteLength;case tf:return r*e*2/s.components*s.byteLength;case Sy:return r*e*2/s.components*s.byteLength;case Tb:return r*e*3/s.components*s.byteLength;case Oa:return r*e*4/s.components*s.byteLength;case My:return r*e*4/s.components*s.byteLength;case $p:case em:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*8;case tm:case nm:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case wv:case Rv:return Math.max(r,16)*Math.max(e,8)/4;case Av:case Cv:return Math.max(r,8)*Math.max(e,8)/2;case Nv:case Dv:case Uv:case Iv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*8;case Lv:case Ov:case Pv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case zv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case Bv:return Math.floor((r+4)/5)*Math.floor((e+3)/4)*16;case Fv:return Math.floor((r+4)/5)*Math.floor((e+4)/5)*16;case kv:return Math.floor((r+5)/6)*Math.floor((e+4)/5)*16;case Vv:return Math.floor((r+5)/6)*Math.floor((e+5)/6)*16;case Hv:return Math.floor((r+7)/8)*Math.floor((e+4)/5)*16;case Gv:return Math.floor((r+7)/8)*Math.floor((e+5)/6)*16;case Xv:return Math.floor((r+7)/8)*Math.floor((e+7)/8)*16;case Wv:return Math.floor((r+9)/10)*Math.floor((e+4)/5)*16;case qv:return Math.floor((r+9)/10)*Math.floor((e+5)/6)*16;case jv:return Math.floor((r+9)/10)*Math.floor((e+7)/8)*16;case Yv:return Math.floor((r+9)/10)*Math.floor((e+9)/10)*16;case Zv:return Math.floor((r+11)/12)*Math.floor((e+9)/10)*16;case Qv:return Math.floor((r+11)/12)*Math.floor((e+11)/12)*16;case Kv:case Jv:case $v:return Math.ceil(r/4)*Math.ceil(e/4)*16;case ey:case ty:return Math.ceil(r/4)*Math.ceil(e/4)*8;case ny:case iy:return Math.ceil(r/4)*Math.ceil(e/4)*16}throw new Error(`Unable to determine texture byte length for ${t} format.`)}function GD(r){switch(r){case ts:case xb:return{byteLength:1,components:1};case qh:case bb:case Bo:return{byteLength:2,components:1};case _y:case xy:return{byteLength:2,components:4};case vr:case yy:case is:return{byteLength:4,components:1};case Sb:case Mb:return{byteLength:4,components:3}}throw new Error(`Unknown texture type ${r}.`)}class XD{static contain(e,t){return kD(e,t)}static cover(e,t){return VD(e,t)}static fill(e){return HD(e)}static getByteLength(e,t,n,s){return tb(e,t,n,s)}}typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register",{detail:{revision:my}}));typeof window<"u"&&(window.__THREE__?ft("WARNING: Multiple instances of Three.js being imported."):window.__THREE__=my);function VT(){let r=null,e=!1,t=null,n=null;function s(u,f){t(u,f),n=r.requestAnimationFrame(s)}return{start:function(){e!==!0&&t!==null&&(n=r.requestAnimationFrame(s),e=!0)},stop:function(){r.cancelAnimationFrame(n),e=!1},setAnimationLoop:function(u){t=u},setContext:function(u){r=u}}}function WD(r){const e=new WeakMap;function t(h,m){const g=h.array,_=h.usage,x=g.byteLength,b=r.createBuffer();r.bindBuffer(m,b),r.bufferData(m,g,_),h.onUploadCallback();let M;if(g instanceof Float32Array)M=r.FLOAT;else if(typeof Float16Array<"u"&&g instanceof Float16Array)M=r.HALF_FLOAT;else if(g instanceof Uint16Array)h.isFloat16BufferAttribute?M=r.HALF_FLOAT:M=r.UNSIGNED_SHORT;else if(g instanceof Int16Array)M=r.SHORT;else if(g instanceof Uint32Array)M=r.UNSIGNED_INT;else if(g instanceof Int32Array)M=r.INT;else if(g instanceof Int8Array)M=r.BYTE;else if(g instanceof Uint8Array)M=r.UNSIGNED_BYTE;else if(g instanceof Uint8ClampedArray)M=r.UNSIGNED_BYTE;else throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: "+g);return{buffer:b,type:M,bytesPerElement:g.BYTES_PER_ELEMENT,version:h.version,size:x}}function n(h,m,g){const _=m.array,x=m.updateRanges;if(r.bindBuffer(g,h),x.length===0)r.bufferSubData(g,0,_);else{x.sort((M,A)=>M.start-A.start);let b=0;for(let M=1;M 0 + vec4 plane; + #ifdef ALPHA_TO_COVERAGE + float distanceToPlane, distanceGradient; + float clipOpacity = 1.0; + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w; + distanceGradient = fwidth( distanceToPlane ) / 2.0; + clipOpacity *= smoothstep( - distanceGradient, distanceGradient, distanceToPlane ); + if ( clipOpacity == 0.0 ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + float unionClipOpacity = 1.0; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w; + distanceGradient = fwidth( distanceToPlane ) / 2.0; + unionClipOpacity *= 1.0 - smoothstep( - distanceGradient, distanceGradient, distanceToPlane ); + } + #pragma unroll_loop_end + clipOpacity *= 1.0 - unionClipOpacity; + #endif + diffuseColor.a *= clipOpacity; + if ( diffuseColor.a == 0.0 ) discard; + #else + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + bool clipped = true; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped; + } + #pragma unroll_loop_end + if ( clipped ) discard; + #endif + #endif +#endif`,lL=`#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; + uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ]; +#endif`,uL=`#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; +#endif`,cL=`#if NUM_CLIPPING_PLANES > 0 + vClipPosition = - mvPosition.xyz; +#endif`,fL=`#if defined( USE_COLOR_ALPHA ) + diffuseColor *= vColor; +#elif defined( USE_COLOR ) + diffuseColor.rgb *= vColor; +#endif`,hL=`#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) + varying vec3 vColor; +#endif`,dL=`#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR ) + varying vec3 vColor; +#endif`,pL=`#if defined( USE_COLOR_ALPHA ) + vColor = vec4( 1.0 ); +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR ) + vColor = vec3( 1.0 ); +#endif +#ifdef USE_COLOR + vColor *= color; +#endif +#ifdef USE_INSTANCING_COLOR + vColor.xyz *= instanceColor.xyz; +#endif +#ifdef USE_BATCHING_COLOR + vec3 batchingColor = getBatchingColor( getIndirectIndex( gl_DrawID ) ); + vColor.xyz *= batchingColor.xyz; +#endif`,mL=`#define PI 3.141592653589793 +#define PI2 6.283185307179586 +#define PI_HALF 1.5707963267948966 +#define RECIPROCAL_PI 0.3183098861837907 +#define RECIPROCAL_PI2 0.15915494309189535 +#define EPSILON 1e-6 +#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +#define whiteComplement( a ) ( 1.0 - saturate( a ) ) +float pow2( const in float x ) { return x*x; } +vec3 pow2( const in vec3 x ) { return x*x; } +float pow3( const in float x ) { return x*x*x; } +float pow4( const in float x ) { float x2 = x*x; return x2*x2; } +float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); } +float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); } +highp float rand( const in vec2 uv ) { + const highp float a = 12.9898, b = 78.233, c = 43758.5453; + highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI ); + return fract( sin( sn ) * c ); +} +#ifdef HIGH_PRECISION + float precisionSafeLength( vec3 v ) { return length( v ); } +#else + float precisionSafeLength( vec3 v ) { + float maxComponent = max3( abs( v ) ); + return length( v / maxComponent ) * maxComponent; + } +#endif +struct IncidentLight { + vec3 color; + vec3 direction; + bool visible; +}; +struct ReflectedLight { + vec3 directDiffuse; + vec3 directSpecular; + vec3 indirectDiffuse; + vec3 indirectSpecular; +}; +#ifdef USE_ALPHAHASH + varying vec3 vPosition; +#endif +vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); +} +vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz ); +} +bool isPerspectiveMatrix( mat4 m ) { + return m[ 2 ][ 3 ] == - 1.0; +} +vec2 equirectUv( in vec3 dir ) { + float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5; + float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5; + return vec2( u, v ); +} +vec3 BRDF_Lambert( const in vec3 diffuseColor ) { + return RECIPROCAL_PI * diffuseColor; +} +vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} +float F_Schlick( const in float f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} // validated`,gL=`#ifdef ENVMAP_TYPE_CUBE_UV + #define cubeUV_minMipLevel 4.0 + #define cubeUV_minTileSize 16.0 + float getFace( vec3 direction ) { + vec3 absDirection = abs( direction ); + float face = - 1.0; + if ( absDirection.x > absDirection.z ) { + if ( absDirection.x > absDirection.y ) + face = direction.x > 0.0 ? 0.0 : 3.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } else { + if ( absDirection.z > absDirection.y ) + face = direction.z > 0.0 ? 2.0 : 5.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } + return face; + } + vec2 getUV( vec3 direction, float face ) { + vec2 uv; + if ( face == 0.0 ) { + uv = vec2( direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 1.0 ) { + uv = vec2( - direction.x, - direction.z ) / abs( direction.y ); + } else if ( face == 2.0 ) { + uv = vec2( - direction.x, direction.y ) / abs( direction.z ); + } else if ( face == 3.0 ) { + uv = vec2( - direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 4.0 ) { + uv = vec2( - direction.x, direction.z ) / abs( direction.y ); + } else { + uv = vec2( direction.x, direction.y ) / abs( direction.z ); + } + return 0.5 * ( uv + 1.0 ); + } + vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) { + float face = getFace( direction ); + float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 ); + mipInt = max( mipInt, cubeUV_minMipLevel ); + float faceSize = exp2( mipInt ); + highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0; + if ( face > 2.0 ) { + uv.y += faceSize; + face -= 3.0; + } + uv.x += face * faceSize; + uv.x += filterInt * 3.0 * cubeUV_minTileSize; + uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize ); + uv.x *= CUBEUV_TEXEL_WIDTH; + uv.y *= CUBEUV_TEXEL_HEIGHT; + #ifdef texture2DGradEXT + return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb; + #else + return texture2D( envMap, uv ).rgb; + #endif + } + #define cubeUV_r0 1.0 + #define cubeUV_m0 - 2.0 + #define cubeUV_r1 0.8 + #define cubeUV_m1 - 1.0 + #define cubeUV_r4 0.4 + #define cubeUV_m4 2.0 + #define cubeUV_r5 0.305 + #define cubeUV_m5 3.0 + #define cubeUV_r6 0.21 + #define cubeUV_m6 4.0 + float roughnessToMip( float roughness ) { + float mip = 0.0; + if ( roughness >= cubeUV_r1 ) { + mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0; + } else if ( roughness >= cubeUV_r4 ) { + mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1; + } else if ( roughness >= cubeUV_r5 ) { + mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4; + } else if ( roughness >= cubeUV_r6 ) { + mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5; + } else { + mip = - 2.0 * log2( 1.16 * roughness ); } + return mip; + } + vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) { + float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP ); + float mipF = fract( mip ); + float mipInt = floor( mip ); + vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt ); + if ( mipF == 0.0 ) { + return vec4( color0, 1.0 ); + } else { + vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 ); + return vec4( mix( color0, color1, mipF ), 1.0 ); + } + } +#endif`,vL=`vec3 transformedNormal = objectNormal; +#ifdef USE_TANGENT + vec3 transformedTangent = objectTangent; +#endif +#ifdef USE_BATCHING + mat3 bm = mat3( batchingMatrix ); + transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) ); + transformedNormal = bm * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = bm * transformedTangent; + #endif +#endif +#ifdef USE_INSTANCING + mat3 im = mat3( instanceMatrix ); + transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) ); + transformedNormal = im * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = im * transformedTangent; + #endif +#endif +transformedNormal = normalMatrix * transformedNormal; +#ifdef FLIP_SIDED + transformedNormal = - transformedNormal; +#endif +#ifdef USE_TANGENT + transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz; + #ifdef FLIP_SIDED + transformedTangent = - transformedTangent; + #endif +#endif`,yL=`#ifdef USE_DISPLACEMENTMAP + uniform sampler2D displacementMap; + uniform float displacementScale; + uniform float displacementBias; +#endif`,_L=`#ifdef USE_DISPLACEMENTMAP + transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias ); +#endif`,xL=`#ifdef USE_EMISSIVEMAP + vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv ); + #ifdef DECODE_VIDEO_TEXTURE_EMISSIVE + emissiveColor = sRGBTransferEOTF( emissiveColor ); + #endif + totalEmissiveRadiance *= emissiveColor.rgb; +#endif`,bL=`#ifdef USE_EMISSIVEMAP + uniform sampler2D emissiveMap; +#endif`,SL="gl_FragColor = linearToOutputTexel( gl_FragColor );",ML=`vec4 LinearTransferOETF( in vec4 value ) { + return value; +} +vec4 sRGBTransferEOTF( in vec4 value ) { + return vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a ); +} +vec4 sRGBTransferOETF( in vec4 value ) { + return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a ); +}`,EL=`#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vec3 cameraToFrag; + if ( isOrthographic ) { + cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToFrag = normalize( vWorldPosition - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vec3 reflectVec = reflect( cameraToFrag, worldNormal ); + #else + vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio ); + #endif + #else + vec3 reflectVec = vReflect; + #endif + #ifdef ENVMAP_TYPE_CUBE + vec4 envColor = textureCube( envMap, envMapRotation * vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) ); + #else + vec4 envColor = vec4( 0.0 ); + #endif + #ifdef ENVMAP_BLENDING_MULTIPLY + outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_MIX ) + outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_ADD ) + outgoingLight += envColor.xyz * specularStrength * reflectivity; + #endif +#endif`,TL=`#ifdef USE_ENVMAP + uniform float envMapIntensity; + uniform float flipEnvMap; + uniform mat3 envMapRotation; + #ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; + #else + uniform sampler2D envMap; + #endif +#endif`,AL=`#ifdef USE_ENVMAP + uniform float reflectivity; + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + varying vec3 vWorldPosition; + uniform float refractionRatio; + #else + varying vec3 vReflect; + #endif +#endif`,wL=`#ifdef USE_ENVMAP + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + + varying vec3 vWorldPosition; + #else + varying vec3 vReflect; + uniform float refractionRatio; + #endif +#endif`,CL=`#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vWorldPosition = worldPosition.xyz; + #else + vec3 cameraToVertex; + if ( isOrthographic ) { + cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToVertex = normalize( worldPosition.xyz - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vReflect = reflect( cameraToVertex, worldNormal ); + #else + vReflect = refract( cameraToVertex, worldNormal, refractionRatio ); + #endif + #endif +#endif`,RL=`#ifdef USE_FOG + vFogDepth = - mvPosition.z; +#endif`,NL=`#ifdef USE_FOG + varying float vFogDepth; +#endif`,DL=`#ifdef USE_FOG + #ifdef FOG_EXP2 + float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth ); + #else + float fogFactor = smoothstep( fogNear, fogFar, vFogDepth ); + #endif + gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor ); +#endif`,LL=`#ifdef USE_FOG + uniform vec3 fogColor; + varying float vFogDepth; + #ifdef FOG_EXP2 + uniform float fogDensity; + #else + uniform float fogNear; + uniform float fogFar; + #endif +#endif`,UL=`#ifdef USE_GRADIENTMAP + uniform sampler2D gradientMap; +#endif +vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) { + float dotNL = dot( normal, lightDirection ); + vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 ); + #ifdef USE_GRADIENTMAP + return vec3( texture2D( gradientMap, coord ).r ); + #else + vec2 fw = fwidth( coord ) * 0.5; + return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) ); + #endif +}`,IL=`#ifdef USE_LIGHTMAP + uniform sampler2D lightMap; + uniform float lightMapIntensity; +#endif`,OL=`LambertMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularStrength = specularStrength;`,PL=`varying vec3 vViewPosition; +struct LambertMaterial { + vec3 diffuseColor; + float specularStrength; +}; +void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Lambert +#define RE_IndirectDiffuse RE_IndirectDiffuse_Lambert`,zL=`uniform bool receiveShadow; +uniform vec3 ambientLightColor; +#if defined( USE_LIGHT_PROBES ) + uniform vec3 lightProbe[ 9 ]; +#endif +vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) { + float x = normal.x, y = normal.y, z = normal.z; + vec3 result = shCoefficients[ 0 ] * 0.886227; + result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y; + result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z; + result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x; + result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y; + result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z; + result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 ); + result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z; + result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y ); + return result; +} +vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) { + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe ); + return irradiance; +} +vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) { + vec3 irradiance = ambientLightColor; + return irradiance; +} +float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) { + float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 ); + if ( cutoffDistance > 0.0 ) { + distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) ); + } + return distanceFalloff; +} +float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) { + return smoothstep( coneCosine, penumbraCosine, angleCosine ); +} +#if NUM_DIR_LIGHTS > 0 + struct DirectionalLight { + vec3 direction; + vec3 color; + }; + uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ]; + void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) { + light.color = directionalLight.color; + light.direction = directionalLight.direction; + light.visible = true; + } +#endif +#if NUM_POINT_LIGHTS > 0 + struct PointLight { + vec3 position; + vec3 color; + float distance; + float decay; + }; + uniform PointLight pointLights[ NUM_POINT_LIGHTS ]; + void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = pointLight.position - geometryPosition; + light.direction = normalize( lVector ); + float lightDistance = length( lVector ); + light.color = pointLight.color; + light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } +#endif +#if NUM_SPOT_LIGHTS > 0 + struct SpotLight { + vec3 position; + vec3 direction; + vec3 color; + float distance; + float decay; + float coneCos; + float penumbraCos; + }; + uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ]; + void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = spotLight.position - geometryPosition; + light.direction = normalize( lVector ); + float angleCos = dot( light.direction, spotLight.direction ); + float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos ); + if ( spotAttenuation > 0.0 ) { + float lightDistance = length( lVector ); + light.color = spotLight.color * spotAttenuation; + light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } else { + light.color = vec3( 0.0 ); + light.visible = false; + } + } +#endif +#if NUM_RECT_AREA_LIGHTS > 0 + struct RectAreaLight { + vec3 color; + vec3 position; + vec3 halfWidth; + vec3 halfHeight; + }; + uniform sampler2D ltc_1; uniform sampler2D ltc_2; + uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ]; +#endif +#if NUM_HEMI_LIGHTS > 0 + struct HemisphereLight { + vec3 direction; + vec3 skyColor; + vec3 groundColor; + }; + uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ]; + vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) { + float dotNL = dot( normal, hemiLight.direction ); + float hemiDiffuseWeight = 0.5 * dotNL + 0.5; + vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight ); + return irradiance; + } +#endif`,BL=`#ifdef USE_ENVMAP + vec3 getIBLIrradiance( const in vec3 normal ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, envMapRotation * worldNormal, 1.0 ); + return PI * envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 reflectVec = reflect( - viewDir, normal ); + reflectVec = normalize( mix( reflectVec, normal, pow4( roughness ) ) ); + reflectVec = inverseTransformDirection( reflectVec, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, envMapRotation * reflectVec, roughness ); + return envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + #ifdef USE_ANISOTROPY + vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 bentNormal = cross( bitangent, viewDir ); + bentNormal = normalize( cross( bentNormal, bitangent ) ); + bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) ); + return getIBLRadiance( viewDir, bentNormal, roughness ); + #else + return vec3( 0.0 ); + #endif + } + #endif +#endif`,FL=`ToonMaterial material; +material.diffuseColor = diffuseColor.rgb;`,kL=`varying vec3 vViewPosition; +struct ToonMaterial { + vec3 diffuseColor; +}; +void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Toon +#define RE_IndirectDiffuse RE_IndirectDiffuse_Toon`,VL=`BlinnPhongMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularColor = specular; +material.specularShininess = shininess; +material.specularStrength = specularStrength;`,HL=`varying vec3 vViewPosition; +struct BlinnPhongMaterial { + vec3 diffuseColor; + vec3 specularColor; + float specularShininess; + float specularStrength; +}; +void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); + reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength; +} +void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_BlinnPhong +#define RE_IndirectDiffuse RE_IndirectDiffuse_BlinnPhong`,GL=`PhysicalMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.diffuseContribution = diffuseColor.rgb * ( 1.0 - metalnessFactor ); +material.metalness = metalnessFactor; +vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) ); +float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z ); +material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness; +material.roughness = min( material.roughness, 1.0 ); +#ifdef IOR + material.ior = ior; + #ifdef USE_SPECULAR + float specularIntensityFactor = specularIntensity; + vec3 specularColorFactor = specularColor; + #ifdef USE_SPECULAR_COLORMAP + specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a; + #endif + material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor ); + #else + float specularIntensityFactor = 1.0; + vec3 specularColorFactor = vec3( 1.0 ); + material.specularF90 = 1.0; + #endif + material.specularColor = min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor; + material.specularColorBlended = mix( material.specularColor, diffuseColor.rgb, metalnessFactor ); +#else + material.specularColor = vec3( 0.04 ); + material.specularColorBlended = mix( material.specularColor, diffuseColor.rgb, metalnessFactor ); + material.specularF90 = 1.0; +#endif +#ifdef USE_CLEARCOAT + material.clearcoat = clearcoat; + material.clearcoatRoughness = clearcoatRoughness; + material.clearcoatF0 = vec3( 0.04 ); + material.clearcoatF90 = 1.0; + #ifdef USE_CLEARCOATMAP + material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x; + #endif + #ifdef USE_CLEARCOAT_ROUGHNESSMAP + material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y; + #endif + material.clearcoat = saturate( material.clearcoat ); material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 ); + material.clearcoatRoughness += geometryRoughness; + material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 ); +#endif +#ifdef USE_DISPERSION + material.dispersion = dispersion; +#endif +#ifdef USE_IRIDESCENCE + material.iridescence = iridescence; + material.iridescenceIOR = iridescenceIOR; + #ifdef USE_IRIDESCENCEMAP + material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r; + #endif + #ifdef USE_IRIDESCENCE_THICKNESSMAP + material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum; + #else + material.iridescenceThickness = iridescenceThicknessMaximum; + #endif +#endif +#ifdef USE_SHEEN + material.sheenColor = sheenColor; + #ifdef USE_SHEEN_COLORMAP + material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb; + #endif + material.sheenRoughness = clamp( sheenRoughness, 0.0001, 1.0 ); + #ifdef USE_SHEEN_ROUGHNESSMAP + material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a; + #endif +#endif +#ifdef USE_ANISOTROPY + #ifdef USE_ANISOTROPYMAP + mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x ); + vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb; + vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b; + #else + vec2 anisotropyV = anisotropyVector; + #endif + material.anisotropy = length( anisotropyV ); + if( material.anisotropy == 0.0 ) { + anisotropyV = vec2( 1.0, 0.0 ); + } else { + anisotropyV /= material.anisotropy; + material.anisotropy = saturate( material.anisotropy ); + } + material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) ); + material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y; + material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y; +#endif`,XL=`uniform sampler2D dfgLUT; +struct PhysicalMaterial { + vec3 diffuseColor; + vec3 diffuseContribution; + vec3 specularColor; + vec3 specularColorBlended; + float roughness; + float metalness; + float specularF90; + float dispersion; + #ifdef USE_CLEARCOAT + float clearcoat; + float clearcoatRoughness; + vec3 clearcoatF0; + float clearcoatF90; + #endif + #ifdef USE_IRIDESCENCE + float iridescence; + float iridescenceIOR; + float iridescenceThickness; + vec3 iridescenceFresnel; + vec3 iridescenceF0; + vec3 iridescenceFresnelDielectric; + vec3 iridescenceFresnelMetallic; + #endif + #ifdef USE_SHEEN + vec3 sheenColor; + float sheenRoughness; + #endif + #ifdef IOR + float ior; + #endif + #ifdef USE_TRANSMISSION + float transmission; + float transmissionAlpha; + float thickness; + float attenuationDistance; + vec3 attenuationColor; + #endif + #ifdef USE_ANISOTROPY + float anisotropy; + float alphaT; + vec3 anisotropyT; + vec3 anisotropyB; + #endif +}; +vec3 clearcoatSpecularDirect = vec3( 0.0 ); +vec3 clearcoatSpecularIndirect = vec3( 0.0 ); +vec3 sheenSpecularDirect = vec3( 0.0 ); +vec3 sheenSpecularIndirect = vec3(0.0 ); +vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) { + float x = clamp( 1.0 - dotVH, 0.0, 1.0 ); + float x2 = x * x; + float x5 = clamp( x * x2 * x2, 0.0, 0.9999 ); + return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 ); +} +float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) { + float a2 = pow2( alpha ); + float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) ); + float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) ); + return 0.5 / max( gv + gl, EPSILON ); +} +float D_GGX( const in float alpha, const in float dotNH ) { + float a2 = pow2( alpha ); + float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; + return RECIPROCAL_PI * a2 / pow2( denom ); +} +#ifdef USE_ANISOTROPY + float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) { + float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) ); + float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) ); + float v = 0.5 / ( gv + gl ); + return v; + } + float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) { + float a2 = alphaT * alphaB; + highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH ); + highp float v2 = dot( v, v ); + float w2 = a2 / v2; + return RECIPROCAL_PI * a2 * pow2 ( w2 ); + } +#endif +#ifdef USE_CLEARCOAT + vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) { + vec3 f0 = material.clearcoatF0; + float f90 = material.clearcoatF90; + float roughness = material.clearcoatRoughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + return F * ( V * D ); + } +#endif +vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 f0 = material.specularColorBlended; + float f90 = material.specularF90; + float roughness = material.roughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + #ifdef USE_IRIDESCENCE + F = mix( F, material.iridescenceFresnel, material.iridescence ); + #endif + #ifdef USE_ANISOTROPY + float dotTL = dot( material.anisotropyT, lightDir ); + float dotTV = dot( material.anisotropyT, viewDir ); + float dotTH = dot( material.anisotropyT, halfDir ); + float dotBL = dot( material.anisotropyB, lightDir ); + float dotBV = dot( material.anisotropyB, viewDir ); + float dotBH = dot( material.anisotropyB, halfDir ); + float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL ); + float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH ); + #else + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + #endif + return F * ( V * D ); +} +vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) { + const float LUT_SIZE = 64.0; + const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE; + const float LUT_BIAS = 0.5 / LUT_SIZE; + float dotNV = saturate( dot( N, V ) ); + vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) ); + uv = uv * LUT_SCALE + LUT_BIAS; + return uv; +} +float LTC_ClippedSphereFormFactor( const in vec3 f ) { + float l = length( f ); + return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 ); +} +vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) { + float x = dot( v1, v2 ); + float y = abs( x ); + float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y; + float b = 3.4175940 + ( 4.1616724 + y ) * y; + float v = a / b; + float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v; + return cross( v1, v2 ) * theta_sintheta; +} +vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) { + vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ]; + vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ]; + vec3 lightNormal = cross( v1, v2 ); + if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 ); + vec3 T1, T2; + T1 = normalize( V - N * dot( V, N ) ); + T2 = - cross( N, T1 ); + mat3 mat = mInv * transpose( mat3( T1, T2, N ) ); + vec3 coords[ 4 ]; + coords[ 0 ] = mat * ( rectCoords[ 0 ] - P ); + coords[ 1 ] = mat * ( rectCoords[ 1 ] - P ); + coords[ 2 ] = mat * ( rectCoords[ 2 ] - P ); + coords[ 3 ] = mat * ( rectCoords[ 3 ] - P ); + coords[ 0 ] = normalize( coords[ 0 ] ); + coords[ 1 ] = normalize( coords[ 1 ] ); + coords[ 2 ] = normalize( coords[ 2 ] ); + coords[ 3 ] = normalize( coords[ 3 ] ); + vec3 vectorFormFactor = vec3( 0.0 ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] ); + float result = LTC_ClippedSphereFormFactor( vectorFormFactor ); + return vec3( result ); +} +#if defined( USE_SHEEN ) +float D_Charlie( float roughness, float dotNH ) { + float alpha = pow2( roughness ); + float invAlpha = 1.0 / alpha; + float cos2h = dotNH * dotNH; + float sin2h = max( 1.0 - cos2h, 0.0078125 ); + return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI ); +} +float V_Neubelt( float dotNV, float dotNL ) { + return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) ); +} +vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float D = D_Charlie( sheenRoughness, dotNH ); + float V = V_Neubelt( dotNV, dotNL ); + return sheenColor * ( D * V ); +} +#endif +float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + float r2 = roughness * roughness; + float rInv = 1.0 / ( roughness + 0.1 ); + float a = -1.9362 + 1.0678 * roughness + 0.4573 * r2 - 0.8469 * rInv; + float b = -0.6014 + 0.5538 * roughness - 0.4670 * r2 - 0.1255 * rInv; + float DG = exp( a * dotNV + b ); + return saturate( DG ); +} +vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 fab = texture2D( dfgLUT, vec2( roughness, dotNV ) ).rg; + return specularColor * fab.x + specularF90 * fab.y; +} +#ifdef USE_IRIDESCENCE +void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#else +void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#endif + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 fab = texture2D( dfgLUT, vec2( roughness, dotNV ) ).rg; + #ifdef USE_IRIDESCENCE + vec3 Fr = mix( specularColor, iridescenceF0, iridescence ); + #else + vec3 Fr = specularColor; + #endif + vec3 FssEss = Fr * fab.x + specularF90 * fab.y; + float Ess = fab.x + fab.y; + float Ems = 1.0 - Ess; + vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619; vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg ); + singleScatter += FssEss; + multiScatter += Fms * Ems; +} +vec3 BRDF_GGX_Multiscatter( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 singleScatter = BRDF_GGX( lightDir, viewDir, normal, material ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 dfgV = texture2D( dfgLUT, vec2( material.roughness, dotNV ) ).rg; + vec2 dfgL = texture2D( dfgLUT, vec2( material.roughness, dotNL ) ).rg; + vec3 FssEss_V = material.specularColorBlended * dfgV.x + material.specularF90 * dfgV.y; + vec3 FssEss_L = material.specularColorBlended * dfgL.x + material.specularF90 * dfgL.y; + float Ess_V = dfgV.x + dfgV.y; + float Ess_L = dfgL.x + dfgL.y; + float Ems_V = 1.0 - Ess_V; + float Ems_L = 1.0 - Ess_L; + vec3 Favg = material.specularColorBlended + ( 1.0 - material.specularColorBlended ) * 0.047619; + vec3 Fms = FssEss_V * FssEss_L * Favg / ( 1.0 - Ems_V * Ems_L * Favg + EPSILON ); + float compensationFactor = Ems_V * Ems_L; + vec3 multiScatter = Fms * compensationFactor; + return singleScatter + multiScatter; +} +#if NUM_RECT_AREA_LIGHTS > 0 + void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 normal = geometryNormal; + vec3 viewDir = geometryViewDir; + vec3 position = geometryPosition; + vec3 lightPos = rectAreaLight.position; + vec3 halfWidth = rectAreaLight.halfWidth; + vec3 halfHeight = rectAreaLight.halfHeight; + vec3 lightColor = rectAreaLight.color; + float roughness = material.roughness; + vec3 rectCoords[ 4 ]; + rectCoords[ 0 ] = lightPos + halfWidth - halfHeight; rectCoords[ 1 ] = lightPos - halfWidth - halfHeight; + rectCoords[ 2 ] = lightPos - halfWidth + halfHeight; + rectCoords[ 3 ] = lightPos + halfWidth + halfHeight; + vec2 uv = LTC_Uv( normal, viewDir, roughness ); + vec4 t1 = texture2D( ltc_1, uv ); + vec4 t2 = texture2D( ltc_2, uv ); + mat3 mInv = mat3( + vec3( t1.x, 0, t1.y ), + vec3( 0, 1, 0 ), + vec3( t1.z, 0, t1.w ) + ); + vec3 fresnel = ( material.specularColorBlended * t2.x + ( vec3( 1.0 ) - material.specularColorBlended ) * t2.y ); + reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords ); + reflectedLight.directDiffuse += lightColor * material.diffuseContribution * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords ); + } +#endif +void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + #ifdef USE_CLEARCOAT + float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) ); + vec3 ccIrradiance = dotNLcc * directLight.color; + clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material ); + #endif + #ifdef USE_SHEEN + + sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness ); + + float sheenAlbedoV = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenAlbedoL = IBLSheenBRDF( geometryNormal, directLight.direction, material.sheenRoughness ); + + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * max( sheenAlbedoV, sheenAlbedoL ); + + irradiance *= sheenEnergyComp; + + #endif + reflectedLight.directSpecular += irradiance * BRDF_GGX_Multiscatter( directLight.direction, geometryViewDir, geometryNormal, material ); + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseContribution ); +} +void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 diffuse = irradiance * BRDF_Lambert( material.diffuseContribution ); + #ifdef USE_SHEEN + float sheenAlbedo = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * sheenAlbedo; + diffuse *= sheenEnergyComp; + #endif + reflectedLight.indirectDiffuse += diffuse; +} +void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) { + #ifdef USE_CLEARCOAT + clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness ); + #endif + #ifdef USE_SHEEN + sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ) * RECIPROCAL_PI; + #endif + vec3 singleScatteringDielectric = vec3( 0.0 ); + vec3 multiScatteringDielectric = vec3( 0.0 ); + vec3 singleScatteringMetallic = vec3( 0.0 ); + vec3 multiScatteringMetallic = vec3( 0.0 ); + #ifdef USE_IRIDESCENCE + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnelDielectric, material.roughness, singleScatteringDielectric, multiScatteringDielectric ); + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.diffuseColor, material.specularF90, material.iridescence, material.iridescenceFresnelMetallic, material.roughness, singleScatteringMetallic, multiScatteringMetallic ); + #else + computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScatteringDielectric, multiScatteringDielectric ); + computeMultiscattering( geometryNormal, geometryViewDir, material.diffuseColor, material.specularF90, material.roughness, singleScatteringMetallic, multiScatteringMetallic ); + #endif + vec3 singleScattering = mix( singleScatteringDielectric, singleScatteringMetallic, material.metalness ); + vec3 multiScattering = mix( multiScatteringDielectric, multiScatteringMetallic, material.metalness ); + vec3 totalScatteringDielectric = singleScatteringDielectric + multiScatteringDielectric; + vec3 diffuse = material.diffuseContribution * ( 1.0 - totalScatteringDielectric ); + vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI; + vec3 indirectSpecular = radiance * singleScattering; + indirectSpecular += multiScattering * cosineWeightedIrradiance; + vec3 indirectDiffuse = diffuse * cosineWeightedIrradiance; + #ifdef USE_SHEEN + float sheenAlbedo = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * sheenAlbedo; + indirectSpecular *= sheenEnergyComp; + indirectDiffuse *= sheenEnergyComp; + #endif + reflectedLight.indirectSpecular += indirectSpecular; + reflectedLight.indirectDiffuse += indirectDiffuse; +} +#define RE_Direct RE_Direct_Physical +#define RE_Direct_RectArea RE_Direct_RectArea_Physical +#define RE_IndirectDiffuse RE_IndirectDiffuse_Physical +#define RE_IndirectSpecular RE_IndirectSpecular_Physical +float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) { + return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion ); +}`,WL=` +vec3 geometryPosition = - vViewPosition; +vec3 geometryNormal = normal; +vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition ); +vec3 geometryClearcoatNormal = vec3( 0.0 ); +#ifdef USE_CLEARCOAT + geometryClearcoatNormal = clearcoatNormal; +#endif +#ifdef USE_IRIDESCENCE + float dotNVi = saturate( dot( normal, geometryViewDir ) ); + if ( material.iridescenceThickness == 0.0 ) { + material.iridescence = 0.0; + } else { + material.iridescence = saturate( material.iridescence ); + } + if ( material.iridescence > 0.0 ) { + material.iridescenceFresnelDielectric = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor ); + material.iridescenceFresnelMetallic = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.diffuseColor ); + material.iridescenceFresnel = mix( material.iridescenceFresnelDielectric, material.iridescenceFresnelMetallic, material.metalness ); + material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi ); + } +#endif +IncidentLight directLight; +#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct ) + PointLight pointLight; + #if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) { + pointLight = pointLights[ i ]; + getPointLightInfo( pointLight, geometryPosition, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS ) && ( defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_BASIC ) ) + pointLightShadow = pointLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowIntensity, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct ) + SpotLight spotLight; + vec4 spotColor; + vec3 spotLightCoord; + bool inSpotLightMap; + #if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) { + spotLight = spotLights[ i ]; + getSpotLightInfo( spotLight, geometryPosition, directLight ); + #if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX + #elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + #define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS + #else + #define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #endif + #if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS ) + spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w; + inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) ); + spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy ); + directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color; + #endif + #undef SPOT_LIGHT_MAP_INDEX + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + spotLightShadow = spotLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowIntensity, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct ) + DirectionalLight directionalLight; + #if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) { + directionalLight = directionalLights[ i ]; + getDirectionalLightInfo( directionalLight, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS ) + directionalLightShadow = directionalLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowIntensity, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea ) + RectAreaLight rectAreaLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) { + rectAreaLight = rectAreaLights[ i ]; + RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if defined( RE_IndirectDiffuse ) + vec3 iblIrradiance = vec3( 0.0 ); + vec3 irradiance = getAmbientLightIrradiance( ambientLightColor ); + #if defined( USE_LIGHT_PROBES ) + irradiance += getLightProbeIrradiance( lightProbe, geometryNormal ); + #endif + #if ( NUM_HEMI_LIGHTS > 0 ) + #pragma unroll_loop_start + for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) { + irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal ); + } + #pragma unroll_loop_end + #endif +#endif +#if defined( RE_IndirectSpecular ) + vec3 radiance = vec3( 0.0 ); + vec3 clearcoatRadiance = vec3( 0.0 ); +#endif`,qL=`#if defined( RE_IndirectDiffuse ) + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + irradiance += lightMapIrradiance; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV ) + iblIrradiance += getIBLIrradiance( geometryNormal ); + #endif +#endif +#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular ) + #ifdef USE_ANISOTROPY + radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy ); + #else + radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness ); + #endif + #ifdef USE_CLEARCOAT + clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness ); + #endif +#endif`,jL=`#if defined( RE_IndirectDiffuse ) + RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif +#if defined( RE_IndirectSpecular ) + RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif`,YL=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER ) + gl_FragDepth = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5; +#endif`,ZL=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER ) + uniform float logDepthBufFC; + varying float vFragDepth; + varying float vIsPerspective; +#endif`,QL=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER + varying float vFragDepth; + varying float vIsPerspective; +#endif`,KL=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER + vFragDepth = 1.0 + gl_Position.w; + vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) ); +#endif`,JL=`#ifdef USE_MAP + vec4 sampledDiffuseColor = texture2D( map, vMapUv ); + #ifdef DECODE_VIDEO_TEXTURE + sampledDiffuseColor = sRGBTransferEOTF( sampledDiffuseColor ); + #endif + diffuseColor *= sampledDiffuseColor; +#endif`,$L=`#ifdef USE_MAP + uniform sampler2D map; +#endif`,eU=`#if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + #if defined( USE_POINTS_UV ) + vec2 uv = vUv; + #else + vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy; + #endif +#endif +#ifdef USE_MAP + diffuseColor *= texture2D( map, uv ); +#endif +#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, uv ).g; +#endif`,tU=`#if defined( USE_POINTS_UV ) + varying vec2 vUv; +#else + #if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + uniform mat3 uvTransform; + #endif +#endif +#ifdef USE_MAP + uniform sampler2D map; +#endif +#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`,nU=`float metalnessFactor = metalness; +#ifdef USE_METALNESSMAP + vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv ); + metalnessFactor *= texelMetalness.b; +#endif`,iU=`#ifdef USE_METALNESSMAP + uniform sampler2D metalnessMap; +#endif`,aU=`#ifdef USE_INSTANCING_MORPH + float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + float morphTargetBaseInfluence = texelFetch( morphTexture, ivec2( 0, gl_InstanceID ), 0 ).r; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + morphTargetInfluences[i] = texelFetch( morphTexture, ivec2( i + 1, gl_InstanceID ), 0 ).r; + } +#endif`,sU=`#if defined( USE_MORPHCOLORS ) + vColor *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + #if defined( USE_COLOR_ALPHA ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ]; + #elif defined( USE_COLOR ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ]; + #endif + } +#endif`,rU=`#ifdef USE_MORPHNORMALS + objectNormal *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ]; + } +#endif`,oU=`#ifdef USE_MORPHTARGETS + #ifndef USE_INSTANCING_MORPH + uniform float morphTargetBaseInfluence; + uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + #endif + uniform sampler2DArray morphTargetsTexture; + uniform ivec2 morphTargetsTextureSize; + vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) { + int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset; + int y = texelIndex / morphTargetsTextureSize.x; + int x = texelIndex - y * morphTargetsTextureSize.x; + ivec3 morphUV = ivec3( x, y, morphTargetIndex ); + return texelFetch( morphTargetsTexture, morphUV, 0 ); + } +#endif`,lU=`#ifdef USE_MORPHTARGETS + transformed *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ]; + } +#endif`,uU=`float faceDirection = gl_FrontFacing ? 1.0 : - 1.0; +#ifdef FLAT_SHADED + vec3 fdx = dFdx( vViewPosition ); + vec3 fdy = dFdy( vViewPosition ); + vec3 normal = normalize( cross( fdx, fdy ) ); +#else + vec3 normal = normalize( vNormal ); + #ifdef DOUBLE_SIDED + normal *= faceDirection; + #endif +#endif +#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) + #ifdef USE_TANGENT + mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn = getTangentFrame( - vViewPosition, normal, + #if defined( USE_NORMALMAP ) + vNormalMapUv + #elif defined( USE_CLEARCOAT_NORMALMAP ) + vClearcoatNormalMapUv + #else + vUv + #endif + ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn[0] *= faceDirection; + tbn[1] *= faceDirection; + #endif +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + #ifdef USE_TANGENT + mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn2[0] *= faceDirection; + tbn2[1] *= faceDirection; + #endif +#endif +vec3 nonPerturbedNormal = normal;`,cU=`#ifdef USE_NORMALMAP_OBJECTSPACE + normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + #ifdef FLIP_SIDED + normal = - normal; + #endif + #ifdef DOUBLE_SIDED + normal = normal * faceDirection; + #endif + normal = normalize( normalMatrix * normal ); +#elif defined( USE_NORMALMAP_TANGENTSPACE ) + vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + mapN.xy *= normalScale; + normal = normalize( tbn * mapN ); +#elif defined( USE_BUMPMAP ) + normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection ); +#endif`,fU=`#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`,hU=`#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`,dU=`#ifndef FLAT_SHADED + vNormal = normalize( transformedNormal ); + #ifdef USE_TANGENT + vTangent = normalize( transformedTangent ); + vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w ); + #endif +#endif`,pU=`#ifdef USE_NORMALMAP + uniform sampler2D normalMap; + uniform vec2 normalScale; +#endif +#ifdef USE_NORMALMAP_OBJECTSPACE + uniform mat3 normalMatrix; +#endif +#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) ) + mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) { + vec3 q0 = dFdx( eye_pos.xyz ); + vec3 q1 = dFdy( eye_pos.xyz ); + vec2 st0 = dFdx( uv.st ); + vec2 st1 = dFdy( uv.st ); + vec3 N = surf_norm; + vec3 q1perp = cross( q1, N ); + vec3 q0perp = cross( N, q0 ); + vec3 T = q1perp * st0.x + q0perp * st1.x; + vec3 B = q1perp * st0.y + q0perp * st1.y; + float det = max( dot( T, T ), dot( B, B ) ); + float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det ); + return mat3( T * scale, B * scale, N ); + } +#endif`,mU=`#ifdef USE_CLEARCOAT + vec3 clearcoatNormal = nonPerturbedNormal; +#endif`,gU=`#ifdef USE_CLEARCOAT_NORMALMAP + vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0; + clearcoatMapN.xy *= clearcoatNormalScale; + clearcoatNormal = normalize( tbn2 * clearcoatMapN ); +#endif`,vU=`#ifdef USE_CLEARCOATMAP + uniform sampler2D clearcoatMap; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform sampler2D clearcoatNormalMap; + uniform vec2 clearcoatNormalScale; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform sampler2D clearcoatRoughnessMap; +#endif`,yU=`#ifdef USE_IRIDESCENCEMAP + uniform sampler2D iridescenceMap; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform sampler2D iridescenceThicknessMap; +#endif`,_U=`#ifdef OPAQUE +diffuseColor.a = 1.0; +#endif +#ifdef USE_TRANSMISSION +diffuseColor.a *= material.transmissionAlpha; +#endif +gl_FragColor = vec4( outgoingLight, diffuseColor.a );`,xU=`vec3 packNormalToRGB( const in vec3 normal ) { + return normalize( normal ) * 0.5 + 0.5; +} +vec3 unpackRGBToNormal( const in vec3 rgb ) { + return 2.0 * rgb.xyz - 1.0; +} +const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;const float ShiftRight8 = 1. / 256.; +const float Inv255 = 1. / 255.; +const vec4 PackFactors = vec4( 1.0, 256.0, 256.0 * 256.0, 256.0 * 256.0 * 256.0 ); +const vec2 UnpackFactors2 = vec2( UnpackDownscale, 1.0 / PackFactors.g ); +const vec3 UnpackFactors3 = vec3( UnpackDownscale / PackFactors.rg, 1.0 / PackFactors.b ); +const vec4 UnpackFactors4 = vec4( UnpackDownscale / PackFactors.rgb, 1.0 / PackFactors.a ); +vec4 packDepthToRGBA( const in float v ) { + if( v <= 0.0 ) + return vec4( 0., 0., 0., 0. ); + if( v >= 1.0 ) + return vec4( 1., 1., 1., 1. ); + float vuf; + float af = modf( v * PackFactors.a, vuf ); + float bf = modf( vuf * ShiftRight8, vuf ); + float gf = modf( vuf * ShiftRight8, vuf ); + return vec4( vuf * Inv255, gf * PackUpscale, bf * PackUpscale, af ); +} +vec3 packDepthToRGB( const in float v ) { + if( v <= 0.0 ) + return vec3( 0., 0., 0. ); + if( v >= 1.0 ) + return vec3( 1., 1., 1. ); + float vuf; + float bf = modf( v * PackFactors.b, vuf ); + float gf = modf( vuf * ShiftRight8, vuf ); + return vec3( vuf * Inv255, gf * PackUpscale, bf ); +} +vec2 packDepthToRG( const in float v ) { + if( v <= 0.0 ) + return vec2( 0., 0. ); + if( v >= 1.0 ) + return vec2( 1., 1. ); + float vuf; + float gf = modf( v * 256., vuf ); + return vec2( vuf * Inv255, gf ); +} +float unpackRGBAToDepth( const in vec4 v ) { + return dot( v, UnpackFactors4 ); +} +float unpackRGBToDepth( const in vec3 v ) { + return dot( v, UnpackFactors3 ); +} +float unpackRGToDepth( const in vec2 v ) { + return v.r * UnpackFactors2.r + v.g * UnpackFactors2.g; +} +vec4 pack2HalfToRGBA( const in vec2 v ) { + vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) ); + return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w ); +} +vec2 unpackRGBATo2Half( const in vec4 v ) { + return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) ); +} +float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) { + return ( viewZ + near ) / ( near - far ); +} +float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) { + return depth * ( near - far ) - near; +} +float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) { + return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ ); +} +float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) { + return ( near * far ) / ( ( far - near ) * depth - far ); +}`,bU=`#ifdef PREMULTIPLIED_ALPHA + gl_FragColor.rgb *= gl_FragColor.a; +#endif`,SU=`vec4 mvPosition = vec4( transformed, 1.0 ); +#ifdef USE_BATCHING + mvPosition = batchingMatrix * mvPosition; +#endif +#ifdef USE_INSTANCING + mvPosition = instanceMatrix * mvPosition; +#endif +mvPosition = modelViewMatrix * mvPosition; +gl_Position = projectionMatrix * mvPosition;`,MU=`#ifdef DITHERING + gl_FragColor.rgb = dithering( gl_FragColor.rgb ); +#endif`,EU=`#ifdef DITHERING + vec3 dithering( vec3 color ) { + float grid_position = rand( gl_FragCoord.xy ); + vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 ); + dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position ); + return color + dither_shift_RGB; + } +#endif`,TU=`float roughnessFactor = roughness; +#ifdef USE_ROUGHNESSMAP + vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv ); + roughnessFactor *= texelRoughness.g; +#endif`,AU=`#ifdef USE_ROUGHNESSMAP + uniform sampler2D roughnessMap; +#endif`,wU=`#if NUM_SPOT_LIGHT_COORDS > 0 + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#if NUM_SPOT_LIGHT_MAPS > 0 + uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform sampler2DShadow directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + #else + uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform sampler2DShadow spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + #else + uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + struct SpotLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform samplerCubeShadow pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + #elif defined( SHADOWMAP_TYPE_BASIC ) + uniform samplerCube pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + #if defined( SHADOWMAP_TYPE_PCF ) + float interleavedGradientNoise( vec2 position ) { + return fract( 52.9829189 * fract( dot( position, vec2( 0.06711056, 0.00583715 ) ) ) ); + } + vec2 vogelDiskSample( int sampleIndex, int samplesCount, float phi ) { + const float goldenAngle = 2.399963229728653; + float r = sqrt( ( float( sampleIndex ) + 0.5 ) / float( samplesCount ) ); + float theta = float( sampleIndex ) * goldenAngle + phi; + return vec2( cos( theta ), sin( theta ) ) * r; + } + #endif + #if defined( SHADOWMAP_TYPE_PCF ) + float getShadow( sampler2DShadow shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float radius = shadowRadius * texelSize.x; + float phi = interleavedGradientNoise( gl_FragCoord.xy ) * 6.28318530718; + shadow = ( + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 0, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 1, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 2, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 3, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 4, 5, phi ) * radius, shadowCoord.z ) ) + ) * 0.2; + } + return mix( 1.0, shadow, shadowIntensity ); + } + #elif defined( SHADOWMAP_TYPE_VSM ) + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + vec2 distribution = texture2D( shadowMap, shadowCoord.xy ).rg; + float mean = distribution.x; + float variance = distribution.y * distribution.y; + #ifdef USE_REVERSED_DEPTH_BUFFER + float hard_shadow = step( mean, shadowCoord.z ); + #else + float hard_shadow = step( shadowCoord.z, mean ); + #endif + if ( hard_shadow == 1.0 ) { + shadow = 1.0; + } else { + variance = max( variance, 0.0000001 ); + float d = shadowCoord.z - mean; + float p_max = variance / ( variance + d * d ); + p_max = clamp( ( p_max - 0.3 ) / 0.65, 0.0, 1.0 ); + shadow = max( hard_shadow, p_max ); + } + } + return mix( 1.0, shadow, shadowIntensity ); + } + #else + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + float depth = texture2D( shadowMap, shadowCoord.xy ).r; + #ifdef USE_REVERSED_DEPTH_BUFFER + shadow = step( depth, shadowCoord.z ); + #else + shadow = step( shadowCoord.z, depth ); + #endif + } + return mix( 1.0, shadow, shadowIntensity ); + } + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + float getPointShadow( samplerCubeShadow shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + float shadow = 1.0; + vec3 lightToPosition = shadowCoord.xyz; + vec3 bd3D = normalize( lightToPosition ); + vec3 absVec = abs( lightToPosition ); + float viewSpaceZ = max( max( absVec.x, absVec.y ), absVec.z ); + if ( viewSpaceZ - shadowCameraFar <= 0.0 && viewSpaceZ - shadowCameraNear >= 0.0 ) { + float dp = ( shadowCameraFar * ( viewSpaceZ - shadowCameraNear ) ) / ( viewSpaceZ * ( shadowCameraFar - shadowCameraNear ) ); + dp += shadowBias; + float texelSize = shadowRadius / shadowMapSize.x; + vec3 absDir = abs( bd3D ); + vec3 tangent = absDir.x > absDir.z ? vec3( 0.0, 1.0, 0.0 ) : vec3( 1.0, 0.0, 0.0 ); + tangent = normalize( cross( bd3D, tangent ) ); + vec3 bitangent = cross( bd3D, tangent ); + float phi = interleavedGradientNoise( gl_FragCoord.xy ) * 6.28318530718; + shadow = ( + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 0, 5, phi ).x + bitangent * vogelDiskSample( 0, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 1, 5, phi ).x + bitangent * vogelDiskSample( 1, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 2, 5, phi ).x + bitangent * vogelDiskSample( 2, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 3, 5, phi ).x + bitangent * vogelDiskSample( 3, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 4, 5, phi ).x + bitangent * vogelDiskSample( 4, 5, phi ).y ) * texelSize, dp ) ) + ) * 0.2; + } + return mix( 1.0, shadow, shadowIntensity ); + } + #elif defined( SHADOWMAP_TYPE_BASIC ) + float getPointShadow( samplerCube shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + float shadow = 1.0; + vec3 lightToPosition = shadowCoord.xyz; + vec3 bd3D = normalize( lightToPosition ); + vec3 absVec = abs( lightToPosition ); + float viewSpaceZ = max( max( absVec.x, absVec.y ), absVec.z ); + if ( viewSpaceZ - shadowCameraFar <= 0.0 && viewSpaceZ - shadowCameraNear >= 0.0 ) { + float dp = ( shadowCameraFar * ( viewSpaceZ - shadowCameraNear ) ) / ( viewSpaceZ * ( shadowCameraFar - shadowCameraNear ) ); + dp += shadowBias; + float depth = textureCube( shadowMap, bd3D ).r; + #ifdef USE_REVERSED_DEPTH_BUFFER + shadow = step( depth, dp ); + #else + shadow = step( dp, depth ); + #endif + } + return mix( 1.0, shadow, shadowIntensity ); + } + #endif + #endif +#endif`,CU=`#if NUM_SPOT_LIGHT_COORDS > 0 + uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ]; + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + struct SpotLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif +#endif`,RU=`#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 ) + vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + vec4 shadowWorldPosition; +#endif +#if defined( USE_SHADOWMAP ) + #if NUM_DIR_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 ); + vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 ); + vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif +#endif +#if NUM_SPOT_LIGHT_COORDS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) { + shadowWorldPosition = worldPosition; + #if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias; + #endif + vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end +#endif`,NU=`float getShadowMask() { + float shadow = 1.0; + #ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + directionalLight = directionalLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowIntensity, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) { + spotLight = spotLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowIntensity, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 && ( defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_BASIC ) ) + PointLightShadow pointLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + pointLight = pointLightShadows[ i ]; + shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowIntensity, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0; + } + #pragma unroll_loop_end + #endif + #endif + return shadow; +}`,DU=`#ifdef USE_SKINNING + mat4 boneMatX = getBoneMatrix( skinIndex.x ); + mat4 boneMatY = getBoneMatrix( skinIndex.y ); + mat4 boneMatZ = getBoneMatrix( skinIndex.z ); + mat4 boneMatW = getBoneMatrix( skinIndex.w ); +#endif`,LU=`#ifdef USE_SKINNING + uniform mat4 bindMatrix; + uniform mat4 bindMatrixInverse; + uniform highp sampler2D boneTexture; + mat4 getBoneMatrix( const in float i ) { + int size = textureSize( boneTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`,UU=`#ifdef USE_SKINNING + vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 ); + vec4 skinned = vec4( 0.0 ); + skinned += boneMatX * skinVertex * skinWeight.x; + skinned += boneMatY * skinVertex * skinWeight.y; + skinned += boneMatZ * skinVertex * skinWeight.z; + skinned += boneMatW * skinVertex * skinWeight.w; + transformed = ( bindMatrixInverse * skinned ).xyz; +#endif`,IU=`#ifdef USE_SKINNING + mat4 skinMatrix = mat4( 0.0 ); + skinMatrix += skinWeight.x * boneMatX; + skinMatrix += skinWeight.y * boneMatY; + skinMatrix += skinWeight.z * boneMatZ; + skinMatrix += skinWeight.w * boneMatW; + skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix; + objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz; + #ifdef USE_TANGENT + objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz; + #endif +#endif`,OU=`float specularStrength; +#ifdef USE_SPECULARMAP + vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv ); + specularStrength = texelSpecular.r; +#else + specularStrength = 1.0; +#endif`,PU=`#ifdef USE_SPECULARMAP + uniform sampler2D specularMap; +#endif`,zU=`#if defined( TONE_MAPPING ) + gl_FragColor.rgb = toneMapping( gl_FragColor.rgb ); +#endif`,BU=`#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +uniform float toneMappingExposure; +vec3 LinearToneMapping( vec3 color ) { + return saturate( toneMappingExposure * color ); +} +vec3 ReinhardToneMapping( vec3 color ) { + color *= toneMappingExposure; + return saturate( color / ( vec3( 1.0 ) + color ) ); +} +vec3 CineonToneMapping( vec3 color ) { + color *= toneMappingExposure; + color = max( vec3( 0.0 ), color - 0.004 ); + return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) ); +} +vec3 RRTAndODTFit( vec3 v ) { + vec3 a = v * ( v + 0.0245786 ) - 0.000090537; + vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081; + return a / b; +} +vec3 ACESFilmicToneMapping( vec3 color ) { + const mat3 ACESInputMat = mat3( + vec3( 0.59719, 0.07600, 0.02840 ), vec3( 0.35458, 0.90834, 0.13383 ), + vec3( 0.04823, 0.01566, 0.83777 ) + ); + const mat3 ACESOutputMat = mat3( + vec3( 1.60475, -0.10208, -0.00327 ), vec3( -0.53108, 1.10813, -0.07276 ), + vec3( -0.07367, -0.00605, 1.07602 ) + ); + color *= toneMappingExposure / 0.6; + color = ACESInputMat * color; + color = RRTAndODTFit( color ); + color = ACESOutputMat * color; + return saturate( color ); +} +const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3( + vec3( 1.6605, - 0.1246, - 0.0182 ), + vec3( - 0.5876, 1.1329, - 0.1006 ), + vec3( - 0.0728, - 0.0083, 1.1187 ) +); +const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3( + vec3( 0.6274, 0.0691, 0.0164 ), + vec3( 0.3293, 0.9195, 0.0880 ), + vec3( 0.0433, 0.0113, 0.8956 ) +); +vec3 agxDefaultContrastApprox( vec3 x ) { + vec3 x2 = x * x; + vec3 x4 = x2 * x2; + return + 15.5 * x4 * x2 + - 40.14 * x4 * x + + 31.96 * x4 + - 6.868 * x2 * x + + 0.4298 * x2 + + 0.1191 * x + - 0.00232; +} +vec3 AgXToneMapping( vec3 color ) { + const mat3 AgXInsetMatrix = mat3( + vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ), + vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ), + vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 ) + ); + const mat3 AgXOutsetMatrix = mat3( + vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ), + vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ), + vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 ) + ); + const float AgxMinEv = - 12.47393; const float AgxMaxEv = 4.026069; + color *= toneMappingExposure; + color = LINEAR_SRGB_TO_LINEAR_REC2020 * color; + color = AgXInsetMatrix * color; + color = max( color, 1e-10 ); color = log2( color ); + color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv ); + color = clamp( color, 0.0, 1.0 ); + color = agxDefaultContrastApprox( color ); + color = AgXOutsetMatrix * color; + color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) ); + color = LINEAR_REC2020_TO_LINEAR_SRGB * color; + color = clamp( color, 0.0, 1.0 ); + return color; +} +vec3 NeutralToneMapping( vec3 color ) { + const float StartCompression = 0.8 - 0.04; + const float Desaturation = 0.15; + color *= toneMappingExposure; + float x = min( color.r, min( color.g, color.b ) ); + float offset = x < 0.08 ? x - 6.25 * x * x : 0.04; + color -= offset; + float peak = max( color.r, max( color.g, color.b ) ); + if ( peak < StartCompression ) return color; + float d = 1. - StartCompression; + float newPeak = 1. - d * d / ( peak + d - StartCompression ); + color *= newPeak / peak; + float g = 1. - 1. / ( Desaturation * ( peak - newPeak ) + 1. ); + return mix( color, vec3( newPeak ), g ); +} +vec3 CustomToneMapping( vec3 color ) { return color; }`,FU=`#ifdef USE_TRANSMISSION + material.transmission = transmission; + material.transmissionAlpha = 1.0; + material.thickness = thickness; + material.attenuationDistance = attenuationDistance; + material.attenuationColor = attenuationColor; + #ifdef USE_TRANSMISSIONMAP + material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + #endif + #ifdef USE_THICKNESSMAP + material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + #endif + vec3 pos = vWorldPosition; + vec3 v = normalize( cameraPosition - pos ); + vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec4 transmitted = getIBLVolumeRefraction( + n, v, material.roughness, material.diffuseContribution, material.specularColorBlended, material.specularF90, + pos, modelMatrix, viewMatrix, projectionMatrix, material.dispersion, material.ior, material.thickness, + material.attenuationColor, material.attenuationDistance ); + material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission ); +#endif`,kU=`#ifdef USE_TRANSMISSION + uniform float transmission; + uniform float thickness; + uniform float attenuationDistance; + uniform vec3 attenuationColor; + #ifdef USE_TRANSMISSIONMAP + uniform sampler2D transmissionMap; + #endif + #ifdef USE_THICKNESSMAP + uniform sampler2D thicknessMap; + #endif + uniform vec2 transmissionSamplerSize; + uniform sampler2D transmissionSamplerMap; + uniform mat4 modelMatrix; + uniform mat4 projectionMatrix; + varying vec3 vWorldPosition; + float w0( float a ) { + return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + } + float w1( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); + } + float w2( float a ){ + return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + } + float w3( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * a ); + } + float g0( float a ) { + return w0( a ) + w1( a ); + } + float g1( float a ) { + return w2( a ) + w3( a ); + } + float h0( float a ) { + return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); + } + float h1( float a ) { + return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); + } + vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { + uv = uv * texelSize.zw + 0.5; + vec2 iuv = floor( uv ); + vec2 fuv = fract( uv ); + float g0x = g0( fuv.x ); + float g1x = g1( fuv.x ); + float h0x = h0( fuv.x ); + float h1x = h1( fuv.x ); + float h0y = h0( fuv.y ); + float h1y = h1( fuv.y ); + vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + + g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + } + vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { + vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); + vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); + vec2 fLodSizeInv = 1.0 / fLodSize; + vec2 cLodSizeInv = 1.0 / cLodSize; + vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); + vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); + return mix( fSample, cSample, fract( lod ) ); + } + vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { + vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + vec3 modelScale; + modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); + modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); + modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + return normalize( refractionVector ) * thickness * modelScale; + } + float applyIorToRoughness( const in float roughness, const in float ior ) { + return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); + } + vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); + return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + } + vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + if ( isinf( attenuationDistance ) ) { + return vec3( 1.0 ); + } else { + vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; + vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); return transmittance; + } + } + vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, + const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, + const in mat4 viewMatrix, const in mat4 projMatrix, const in float dispersion, const in float ior, const in float thickness, + const in vec3 attenuationColor, const in float attenuationDistance ) { + vec4 transmittedLight; + vec3 transmittance; + #ifdef USE_DISPERSION + float halfSpread = ( ior - 1.0 ) * 0.025 * dispersion; + vec3 iors = vec3( ior - halfSpread, ior, ior + halfSpread ); + for ( int i = 0; i < 3; i ++ ) { + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, iors[ i ], modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + vec4 transmissionSample = getTransmissionSample( refractionCoords, roughness, iors[ i ] ); + transmittedLight[ i ] = transmissionSample[ i ]; + transmittedLight.a += transmissionSample.a; + transmittance[ i ] = diffuseColor[ i ] * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance )[ i ]; + } + transmittedLight.a /= 3.0; + #else + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); + #endif + vec3 attenuatedColor = transmittance * transmittedLight.rgb; + vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + } +#endif`,VU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + varying vec2 vNormalMapUv; +#endif +#ifdef USE_EMISSIVEMAP + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_SPECULARMAP + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`,HU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + uniform mat3 mapTransform; + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + uniform mat3 alphaMapTransform; + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + uniform mat3 lightMapTransform; + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + uniform mat3 aoMapTransform; + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + uniform mat3 bumpMapTransform; + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + uniform mat3 normalMapTransform; + varying vec2 vNormalMapUv; +#endif +#ifdef USE_DISPLACEMENTMAP + uniform mat3 displacementMapTransform; + varying vec2 vDisplacementMapUv; +#endif +#ifdef USE_EMISSIVEMAP + uniform mat3 emissiveMapTransform; + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + uniform mat3 metalnessMapTransform; + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + uniform mat3 roughnessMapTransform; + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + uniform mat3 anisotropyMapTransform; + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + uniform mat3 clearcoatMapTransform; + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform mat3 clearcoatNormalMapTransform; + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform mat3 clearcoatRoughnessMapTransform; + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + uniform mat3 sheenColorMapTransform; + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + uniform mat3 sheenRoughnessMapTransform; + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + uniform mat3 iridescenceMapTransform; + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform mat3 iridescenceThicknessMapTransform; + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SPECULARMAP + uniform mat3 specularMapTransform; + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + uniform mat3 specularColorMapTransform; + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + uniform mat3 specularIntensityMapTransform; + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`,GU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + vUv = vec3( uv, 1 ).xy; +#endif +#ifdef USE_MAP + vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ALPHAMAP + vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_LIGHTMAP + vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_AOMAP + vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_BUMPMAP + vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_NORMALMAP + vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_DISPLACEMENTMAP + vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_EMISSIVEMAP + vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_METALNESSMAP + vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ROUGHNESSMAP + vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ANISOTROPYMAP + vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOATMAP + vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCEMAP + vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_COLORMAP + vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULARMAP + vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_COLORMAP + vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_TRANSMISSIONMAP + vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_THICKNESSMAP + vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy; +#endif`,XU=`#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0 + vec4 worldPosition = vec4( transformed, 1.0 ); + #ifdef USE_BATCHING + worldPosition = batchingMatrix * worldPosition; + #endif + #ifdef USE_INSTANCING + worldPosition = instanceMatrix * worldPosition; + #endif + worldPosition = modelMatrix * worldPosition; +#endif`;const WU=`varying vec2 vUv; +uniform mat3 uvTransform; +void main() { + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + gl_Position = vec4( position.xy, 1.0, 1.0 ); +}`,qU=`uniform sampler2D t2D; +uniform float backgroundIntensity; +varying vec2 vUv; +void main() { + vec4 texColor = texture2D( t2D, vUv ); + #ifdef DECODE_VIDEO_TEXTURE + texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`,jU=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`,YU=`#ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; +#elif defined( ENVMAP_TYPE_CUBE_UV ) + uniform sampler2D envMap; +#endif +uniform float flipEnvMap; +uniform float backgroundBlurriness; +uniform float backgroundIntensity; +uniform mat3 backgroundRotation; +varying vec3 vWorldDirection; +#include +void main() { + #ifdef ENVMAP_TYPE_CUBE + vec4 texColor = textureCube( envMap, backgroundRotation * vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) ); + #elif defined( ENVMAP_TYPE_CUBE_UV ) + vec4 texColor = textureCubeUV( envMap, backgroundRotation * vWorldDirection, backgroundBlurriness ); + #else + vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`,ZU=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`,QU=`uniform samplerCube tCube; +uniform float tFlip; +uniform float opacity; +varying vec3 vWorldDirection; +void main() { + vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) ); + gl_FragColor = texColor; + gl_FragColor.a *= opacity; + #include + #include +}`,KU=`#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vHighPrecisionZW = gl_Position.zw; +}`,JU=`#if DEPTH_PACKING == 3200 + uniform float opacity; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + vec4 diffuseColor = vec4( 1.0 ); + #include + #if DEPTH_PACKING == 3200 + diffuseColor.a = opacity; + #endif + #include + #include + #include + #include + #include + #ifdef USE_REVERSED_DEPTH_BUFFER + float fragCoordZ = vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ]; + #else + float fragCoordZ = 0.5 * vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ] + 0.5; + #endif + #if DEPTH_PACKING == 3200 + gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity ); + #elif DEPTH_PACKING == 3201 + gl_FragColor = packDepthToRGBA( fragCoordZ ); + #elif DEPTH_PACKING == 3202 + gl_FragColor = vec4( packDepthToRGB( fragCoordZ ), 1.0 ); + #elif DEPTH_PACKING == 3203 + gl_FragColor = vec4( packDepthToRG( fragCoordZ ), 0.0, 1.0 ); + #endif +}`,$U=`#define DISTANCE +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vWorldPosition = worldPosition.xyz; +}`,eI=`#define DISTANCE +uniform vec3 referencePosition; +uniform float nearDistance; +uniform float farDistance; +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main () { + vec4 diffuseColor = vec4( 1.0 ); + #include + #include + #include + #include + #include + float dist = length( vWorldPosition - referencePosition ); + dist = ( dist - nearDistance ) / ( farDistance - nearDistance ); + dist = saturate( dist ); + gl_FragColor = vec4( dist, 0.0, 0.0, 1.0 ); +}`,tI=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include +}`,nI=`uniform sampler2D tEquirect; +varying vec3 vWorldDirection; +#include +void main() { + vec3 direction = normalize( vWorldDirection ); + vec2 sampleUV = equirectUv( direction ); + gl_FragColor = texture2D( tEquirect, sampleUV ); + #include + #include +}`,iI=`uniform float scale; +attribute float lineDistance; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vLineDistance = scale * lineDistance; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,aI=`uniform vec3 diffuse; +uniform float opacity; +uniform float dashSize; +uniform float totalSize; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + if ( mod( vLineDistance, totalSize ) > dashSize ) { + discard; + } + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`,sI=`#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #if defined ( USE_ENVMAP ) || defined ( USE_SKINNING ) + #include + #include + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,rI=`uniform vec3 diffuse; +uniform float opacity; +#ifndef FLAT_SHADED + varying vec3 vNormal; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI; + #else + reflectedLight.indirectDiffuse += vec3( 1.0 ); + #endif + #include + reflectedLight.indirectDiffuse *= diffuseColor.rgb; + vec3 outgoingLight = reflectedLight.indirectDiffuse; + #include + #include + #include + #include + #include + #include + #include +}`,oI=`#define LAMBERT +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`,lI=`#define LAMBERT +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`,uI=`#define MATCAP +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; +}`,cI=`#define MATCAP +uniform vec3 diffuse; +uniform float opacity; +uniform sampler2D matcap; +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 viewDir = normalize( vViewPosition ); + vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) ); + vec3 y = cross( viewDir, x ); + vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; + #ifdef USE_MATCAP + vec4 matcapColor = texture2D( matcap, uv ); + #else + vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 ); + #endif + vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb; + #include + #include + #include + #include + #include + #include +}`,fI=`#define NORMAL +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + vViewPosition = - mvPosition.xyz; +#endif +}`,hI=`#define NORMAL +uniform float opacity; +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( 0.0, 0.0, 0.0, opacity ); + #include + #include + #include + #include + gl_FragColor = vec4( normalize( normal ) * 0.5 + 0.5, diffuseColor.a ); + #ifdef OPAQUE + gl_FragColor.a = 1.0; + #endif +}`,dI=`#define PHONG +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`,pI=`#define PHONG +uniform vec3 diffuse; +uniform vec3 emissive; +uniform vec3 specular; +uniform float shininess; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`,mI=`#define STANDARD +varying vec3 vViewPosition; +#ifdef USE_TRANSMISSION + varying vec3 vWorldPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +#ifdef USE_TRANSMISSION + vWorldPosition = worldPosition.xyz; +#endif +}`,gI=`#define STANDARD +#ifdef PHYSICAL + #define IOR + #define USE_SPECULAR +#endif +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float roughness; +uniform float metalness; +uniform float opacity; +#ifdef IOR + uniform float ior; +#endif +#ifdef USE_SPECULAR + uniform float specularIntensity; + uniform vec3 specularColor; + #ifdef USE_SPECULAR_COLORMAP + uniform sampler2D specularColorMap; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + uniform sampler2D specularIntensityMap; + #endif +#endif +#ifdef USE_CLEARCOAT + uniform float clearcoat; + uniform float clearcoatRoughness; +#endif +#ifdef USE_DISPERSION + uniform float dispersion; +#endif +#ifdef USE_IRIDESCENCE + uniform float iridescence; + uniform float iridescenceIOR; + uniform float iridescenceThicknessMinimum; + uniform float iridescenceThicknessMaximum; +#endif +#ifdef USE_SHEEN + uniform vec3 sheenColor; + uniform float sheenRoughness; + #ifdef USE_SHEEN_COLORMAP + uniform sampler2D sheenColorMap; + #endif + #ifdef USE_SHEEN_ROUGHNESSMAP + uniform sampler2D sheenRoughnessMap; + #endif +#endif +#ifdef USE_ANISOTROPY + uniform vec2 anisotropyVector; + #ifdef USE_ANISOTROPYMAP + uniform sampler2D anisotropyMap; + #endif +#endif +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse; + vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular; + #include + vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance; + #ifdef USE_SHEEN + + outgoingLight = outgoingLight + sheenSpecularDirect + sheenSpecularIndirect; + + #endif + #ifdef USE_CLEARCOAT + float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) ); + vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc ); + outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat; + #endif + #include + #include + #include + #include + #include + #include +}`,vI=`#define TOON +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +}`,yI=`#define TOON +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include +}`,_I=`uniform float size; +uniform float scale; +#include +#include +#include +#include +#include +#include +#ifdef USE_POINTS_UV + varying vec2 vUv; + uniform mat3 uvTransform; +#endif +void main() { + #ifdef USE_POINTS_UV + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + #endif + #include + #include + #include + #include + #include + #include + gl_PointSize = size; + #ifdef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z ); + #endif + #include + #include + #include + #include +}`,xI=`uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`,bI=`#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,SI=`uniform vec3 color; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) ); + #include + #include + #include +}`,MI=`uniform float rotation; +uniform vec2 center; +#include +#include +#include +#include +#include +void main() { + #include + vec4 mvPosition = modelViewMatrix[ 3 ]; + vec2 scale = vec2( length( modelMatrix[ 0 ].xyz ), length( modelMatrix[ 1 ].xyz ) ); + #ifndef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) scale *= - mvPosition.z; + #endif + vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale; + vec2 rotatedPosition; + rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y; + rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y; + mvPosition.xy += rotatedPosition; + gl_Position = projectionMatrix * mvPosition; + #include + #include + #include +}`,EI=`uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include 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n=this._renderer,s=e.mapping===zo||e.mapping===Pu;s?(this._cubemapMaterial===null&&(this._cubemapMaterial=p1()),this._cubemapMaterial.uniforms.flipEnvMap.value=e.isRenderTargetTexture===!1?-1:1):this._equirectMaterial===null&&(this._equirectMaterial=d1());const u=s?this._cubemapMaterial:this._equirectMaterial,f=this._lodMeshes[0];f.material=u;const h=u.uniforms;h.envMap.value=e;const m=this._cubeSize;zh(t,0,0,3*m,2*m),n.setRenderTarget(t),n.render(f,Wp)}_applyPMREM(e){const t=this._renderer,n=t.autoClear;t.autoClear=!1;const s=this._lodMeshes.length;for(let u=1;uA-Ou?n-A+Ou:0),E=4*(this._cubeSize-R);m.envMap.value=e.texture,m.roughness.value=M,m.mipInt.value=A-t,zh(u,w,E,3*R,2*R),s.setRenderTarget(u),s.render(h,Wp),m.envMap.value=u.texture,m.roughness.value=0,m.mipInt.value=A-n,zh(e,w,E,3*R,2*R),s.setRenderTarget(e),s.render(h,Wp)}_blur(e,t,n,s,u){const f=this._pingPongRenderTarget;this._halfBlur(e,f,t,n,s,"latitudinal",u),this._halfBlur(f,e,n,n,s,"longitudinal",u)}_halfBlur(e,t,n,s,u,f,h){const m=this._renderer,g=this._blurMaterial;f!=="latitudinal"&&f!=="longitudinal"&&Rt("blur direction must be either latitudinal or longitudinal!");const _=3,x=this._lodMeshes[s];x.material=g;const b=g.uniforms,M=this._sizeLods[n]-1,A=isFinite(u)?Math.PI/(2*M):2*Math.PI/(2*qc-1),R=u/A,w=isFinite(u)?1+Math.floor(_*R):qc;w>qc&&ft(`sigmaRadians, ${u}, is too large and will clip, as it requested ${w} samples when the maximum is set to ${qc}`);const E=[];let N=0;for(let H=0;HD-Ou?s-D+Ou:0),z=4*(this._cubeSize-U);zh(t,B,z,3*U,2*U),m.setRenderTarget(t),m.render(x,Wp)}}function II(r){const e=[],t=[],n=[];let s=r;const u=r-Ou+1+c1.length;for(let f=0;fr-Ou?m=c1[f-r+Ou-1]:f===0&&(m=0),t.push(m);const g=1/(h-2),_=-g,x=1+g,b=[_,_,x,_,x,x,_,_,x,x,_,x],M=6,A=6,R=3,w=2,E=1,N=new Float32Array(R*A*M),D=new Float32Array(w*A*M),U=new Float32Array(E*A*M);for(let z=0;z2?0:-1,I=[H,W,0,H+2/3,W,0,H+2/3,W+1,0,H,W,0,H+2/3,W+1,0,H,W+1,0];N.set(I,R*A*z),D.set(b,w*A*z);const P=[z,z,z,z,z,z];U.set(P,E*A*z)}const B=new Kt;B.setAttribute("position",new Xn(N,R)),B.setAttribute("uv",new Xn(D,w)),B.setAttribute("faceIndex",new Xn(U,E)),n.push(new Yi(B,null)),s>Ou&&s--}return{lodMeshes:n,sizeLods:e,sigmas:t}}function h1(r,e,t){const n=new Hs(r,e,t);return n.texture.mapping=id,n.texture.name="PMREM.cubeUv",n.scissorTest=!0,n}function zh(r,e,t,n,s){r.viewport.set(e,t,n,s),r.scissor.set(e,t,n,s)}function OI(r,e,t){return new yr({name:"PMREMGGXConvolution",defines:{GGX_SAMPLES:LI,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${r}.0`},uniforms:{envMap:{value:null},roughness:{value:0},mipInt:{value:0}},vertexShader:Qy(),fragmentShader:` + + precision highp float; + precision highp int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform float roughness; + uniform float mipInt; + + #define ENVMAP_TYPE_CUBE_UV + #include + + #define PI 3.14159265359 + + // Van der Corput radical inverse + float radicalInverse_VdC(uint bits) { + bits = (bits << 16u) | (bits >> 16u); + bits = ((bits & 0x55555555u) << 1u) | ((bits & 0xAAAAAAAAu) >> 1u); + bits = ((bits & 0x33333333u) << 2u) | ((bits & 0xCCCCCCCCu) >> 2u); + bits = ((bits & 0x0F0F0F0Fu) << 4u) | ((bits & 0xF0F0F0F0u) >> 4u); + bits = ((bits & 0x00FF00FFu) << 8u) | ((bits & 0xFF00FF00u) >> 8u); + return float(bits) * 2.3283064365386963e-10; // / 0x100000000 + } + + // Hammersley sequence + vec2 hammersley(uint i, uint N) { + return vec2(float(i) / float(N), radicalInverse_VdC(i)); + } + + // GGX VNDF importance sampling (Eric Heitz 2018) + // "Sampling the GGX Distribution of Visible Normals" + // https://jcgt.org/published/0007/04/01/ + vec3 importanceSampleGGX_VNDF(vec2 Xi, vec3 V, float roughness) { + float alpha = roughness * roughness; + + // Section 3.2: Transform view direction to hemisphere configuration + vec3 Vh = normalize(vec3(alpha * V.x, alpha * V.y, V.z)); + + // Section 4.1: Orthonormal basis + float lensq = Vh.x * Vh.x + Vh.y * Vh.y; + vec3 T1 = lensq > 0.0 ? vec3(-Vh.y, Vh.x, 0.0) / sqrt(lensq) : vec3(1.0, 0.0, 0.0); + vec3 T2 = cross(Vh, T1); + + // Section 4.2: Parameterization of projected area + float r = sqrt(Xi.x); + float phi = 2.0 * PI * Xi.y; + float t1 = r * cos(phi); + float t2 = r * sin(phi); + float s = 0.5 * (1.0 + Vh.z); + t2 = (1.0 - s) * sqrt(1.0 - t1 * t1) + s * t2; + + // Section 4.3: Reprojection onto hemisphere + vec3 Nh = t1 * T1 + t2 * T2 + sqrt(max(0.0, 1.0 - t1 * t1 - t2 * t2)) * Vh; + + // Section 3.4: Transform back to ellipsoid configuration + return normalize(vec3(alpha * Nh.x, alpha * Nh.y, max(0.0, Nh.z))); + } + + void main() { + vec3 N = normalize(vOutputDirection); + vec3 V = N; // Assume view direction equals normal for pre-filtering + + vec3 prefilteredColor = vec3(0.0); + float totalWeight = 0.0; + + // For very low roughness, just sample the environment directly + if (roughness < 0.001) { + gl_FragColor = vec4(bilinearCubeUV(envMap, N, mipInt), 1.0); + return; + } + + // Tangent space basis for VNDF sampling + vec3 up = abs(N.z) < 0.999 ? vec3(0.0, 0.0, 1.0) : vec3(1.0, 0.0, 0.0); + vec3 tangent = normalize(cross(up, N)); + vec3 bitangent = cross(N, tangent); + + for(uint i = 0u; i < uint(GGX_SAMPLES); i++) { + vec2 Xi = hammersley(i, uint(GGX_SAMPLES)); + + // For PMREM, V = N, so in tangent space V is always (0, 0, 1) + vec3 H_tangent = importanceSampleGGX_VNDF(Xi, vec3(0.0, 0.0, 1.0), roughness); + + // Transform H back to world space + vec3 H = normalize(tangent * H_tangent.x + bitangent * H_tangent.y + N * H_tangent.z); + vec3 L = normalize(2.0 * dot(V, H) * H - V); + + float NdotL = max(dot(N, L), 0.0); + + if(NdotL > 0.0) { + // Sample environment at fixed mip level + // VNDF importance sampling handles the distribution filtering + vec3 sampleColor = bilinearCubeUV(envMap, L, mipInt); + + // Weight by NdotL for the split-sum approximation + // VNDF PDF naturally accounts for the visible microfacet distribution + prefilteredColor += sampleColor * NdotL; + totalWeight += NdotL; + } + } + + if (totalWeight > 0.0) { + prefilteredColor = prefilteredColor / totalWeight; + } + + gl_FragColor = vec4(prefilteredColor, 1.0); + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function PI(r,e,t){const n=new Float32Array(qc),s=new j(0,1,0);return new yr({name:"SphericalGaussianBlur",defines:{n:qc,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${r}.0`},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:n},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:s}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform int samples; + uniform float weights[ n ]; + uniform bool latitudinal; + uniform float dTheta; + uniform float mipInt; + uniform vec3 poleAxis; + + #define ENVMAP_TYPE_CUBE_UV + #include + + vec3 getSample( float theta, vec3 axis ) { + + float cosTheta = cos( theta ); + // Rodrigues' axis-angle rotation + vec3 sampleDirection = vOutputDirection * cosTheta + + cross( axis, vOutputDirection ) * sin( theta ) + + axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta ); + + return bilinearCubeUV( envMap, sampleDirection, mipInt ); + + } + + void main() { + + vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection ); + + if ( all( equal( axis, vec3( 0.0 ) ) ) ) { + + axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x ); + + } + + axis = normalize( axis ); + + gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis ); + + for ( int i = 1; i < n; i++ ) { + + if ( i >= samples ) { + + break; + + } + + float theta = dTheta * float( i ); + gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis ); + gl_FragColor.rgb += weights[ i ] * getSample( theta, axis ); + + } + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function d1(){return new yr({name:"EquirectangularToCubeUV",uniforms:{envMap:{value:null}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + + #include + + void main() { + + vec3 outputDirection = normalize( vOutputDirection ); + vec2 uv = equirectUv( outputDirection ); + + gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 ); + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function p1(){return new yr({name:"CubemapToCubeUV",uniforms:{envMap:{value:null},flipEnvMap:{value:-1}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + uniform float flipEnvMap; + + varying vec3 vOutputDirection; + + uniform samplerCube envMap; + + void main() { + + gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) ); + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function Qy(){return` + + precision mediump float; + precision mediump int; + + attribute float faceIndex; + + varying vec3 vOutputDirection; + + // RH coordinate system; PMREM face-indexing convention + vec3 getDirection( vec2 uv, float face ) { + + uv = 2.0 * uv - 1.0; + + vec3 direction = vec3( uv, 1.0 ); + + if ( face == 0.0 ) { + + direction = direction.zyx; // ( 1, v, u ) pos x + + } else if ( face == 1.0 ) { + + direction = direction.xzy; + direction.xz *= -1.0; // ( -u, 1, -v ) pos y + + } else if ( face == 2.0 ) { + + direction.x *= -1.0; // ( -u, v, 1 ) pos z + + } else if ( face == 3.0 ) { + + direction = direction.zyx; + direction.xz *= -1.0; // ( -1, v, -u ) neg x + + } else if ( face == 4.0 ) { + + direction = direction.xzy; + direction.xy *= -1.0; // ( -u, -1, v ) neg y + + } else if ( face == 5.0 ) { + + direction.z *= -1.0; // ( u, v, -1 ) neg z + + } + + return direction; + + } + + void main() { + + vOutputDirection = getDirection( uv, faceIndex ); + gl_Position = vec4( position, 1.0 ); + + } + `}function zI(r){let e=new WeakMap,t=null;function n(h){if(h&&h.isTexture){const m=h.mapping,g=m===om||m===lm,_=m===zo||m===Pu;if(g||_){let x=e.get(h);const b=x!==void 0?x.texture.pmremVersion:0;if(h.isRenderTargetTexture&&h.pmremVersion!==b)return t===null&&(t=new nb(r)),x=g?t.fromEquirectangular(h,x):t.fromCubemap(h,x),x.texture.pmremVersion=h.pmremVersion,e.set(h,x),x.texture;if(x!==void 0)return x.texture;{const M=h.image;return g&&M&&M.height>0||_&&M&&s(M)?(t===null&&(t=new nb(r)),x=g?t.fromEquirectangular(h):t.fromCubemap(h),x.texture.pmremVersion=h.pmremVersion,e.set(h,x),h.addEventListener("dispose",u),x.texture):null}}}return h}function s(h){let m=0;const g=6;for(let _=0;_e.maxTextureSize&&(B=Math.ceil(U/e.maxTextureSize),U=e.maxTextureSize);const z=new Float32Array(U*B*4*x),H=new wy(z,U,B,x);H.type=is,H.needsUpdate=!0;const W=D*4;for(let P=0;P + #include + + void main() { + gl_FragColor = texture2D( tDiffuse, vUv ); + + #ifdef LINEAR_TONE_MAPPING + gl_FragColor.rgb = LinearToneMapping( gl_FragColor.rgb ); + #elif defined( REINHARD_TONE_MAPPING ) + gl_FragColor.rgb = ReinhardToneMapping( gl_FragColor.rgb ); + #elif defined( CINEON_TONE_MAPPING ) + gl_FragColor.rgb = CineonToneMapping( gl_FragColor.rgb ); + #elif defined( ACES_FILMIC_TONE_MAPPING ) + gl_FragColor.rgb = ACESFilmicToneMapping( gl_FragColor.rgb ); + #elif defined( AGX_TONE_MAPPING ) + gl_FragColor.rgb = AgXToneMapping( gl_FragColor.rgb ); + #elif defined( NEUTRAL_TONE_MAPPING ) + gl_FragColor.rgb = NeutralToneMapping( gl_FragColor.rgb ); + #elif defined( CUSTOM_TONE_MAPPING ) + gl_FragColor.rgb = CustomToneMapping( gl_FragColor.rgb ); + #endif + + #ifdef SRGB_TRANSFER + gl_FragColor = sRGBTransferOETF( gl_FragColor ); + #endif + }`,depthTest:!1,depthWrite:!1}),g=new Yi(h,m),_=new Dl(-1,1,1,-1,0,1);let x=null,b=null,M=!1,A,R=null,w=[],E=!1;this.setSize=function(N,D){u.setSize(N,D),f.setSize(N,D);for(let 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USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.mapUv?"#define MAP_UV "+t.mapUv:"",t.alphaMapUv?"#define ALPHAMAP_UV "+t.alphaMapUv:"",t.lightMapUv?"#define LIGHTMAP_UV "+t.lightMapUv:"",t.aoMapUv?"#define AOMAP_UV "+t.aoMapUv:"",t.emissiveMapUv?"#define EMISSIVEMAP_UV "+t.emissiveMapUv:"",t.bumpMapUv?"#define BUMPMAP_UV "+t.bumpMapUv:"",t.normalMapUv?"#define NORMALMAP_UV "+t.normalMapUv:"",t.displacementMapUv?"#define DISPLACEMENTMAP_UV "+t.displacementMapUv:"",t.metalnessMapUv?"#define METALNESSMAP_UV "+t.metalnessMapUv:"",t.roughnessMapUv?"#define ROUGHNESSMAP_UV "+t.roughnessMapUv:"",t.anisotropyMapUv?"#define ANISOTROPYMAP_UV "+t.anisotropyMapUv:"",t.clearcoatMapUv?"#define CLEARCOATMAP_UV "+t.clearcoatMapUv:"",t.clearcoatNormalMapUv?"#define CLEARCOAT_NORMALMAP_UV "+t.clearcoatNormalMapUv:"",t.clearcoatRoughnessMapUv?"#define CLEARCOAT_ROUGHNESSMAP_UV "+t.clearcoatRoughnessMapUv:"",t.iridescenceMapUv?"#define IRIDESCENCEMAP_UV "+t.iridescenceMapUv:"",t.iridescenceThicknessMapUv?"#define IRIDESCENCE_THICKNESSMAP_UV "+t.iridescenceThicknessMapUv:"",t.sheenColorMapUv?"#define SHEEN_COLORMAP_UV "+t.sheenColorMapUv:"",t.sheenRoughnessMapUv?"#define SHEEN_ROUGHNESSMAP_UV "+t.sheenRoughnessMapUv:"",t.specularMapUv?"#define SPECULARMAP_UV "+t.specularMapUv:"",t.specularColorMapUv?"#define SPECULAR_COLORMAP_UV "+t.specularColorMapUv:"",t.specularIntensityMapUv?"#define SPECULAR_INTENSITYMAP_UV "+t.specularIntensityMapUv:"",t.transmissionMapUv?"#define TRANSMISSIONMAP_UV "+t.transmissionMapUv:"",t.thicknessMapUv?"#define THICKNESSMAP_UV "+t.thicknessMapUv:"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.flatShading?"#define FLAT_SHADED":"",t.skinning?"#define USE_SKINNING":"",t.morphTargets?"#define USE_MORPHTARGETS":"",t.morphNormals&&t.flatShading===!1?"#define USE_MORPHNORMALS":"",t.morphColors?"#define USE_MORPHCOLORS":"",t.morphTargetsCount>0?"#define MORPHTARGETS_TEXTURE_STRIDE "+t.morphTextureStride:"",t.morphTargetsCount>0?"#define MORPHTARGETS_COUNT "+t.morphTargetsCount:"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+m:"",t.sizeAttenuation?"#define USE_SIZEATTENUATION":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.logarithmicDepthBuffer?"#define USE_LOGARITHMIC_DEPTH_BUFFER":"",t.reversedDepthBuffer?"#define USE_REVERSED_DEPTH_BUFFER":"","uniform mat4 modelMatrix;","uniform mat4 modelViewMatrix;","uniform mat4 projectionMatrix;","uniform mat4 viewMatrix;","uniform mat3 normalMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;","#ifdef USE_INSTANCING"," attribute mat4 instanceMatrix;","#endif","#ifdef USE_INSTANCING_COLOR"," attribute vec3 instanceColor;","#endif","#ifdef USE_INSTANCING_MORPH"," uniform sampler2D morphTexture;","#endif","attribute vec3 position;","attribute vec3 normal;","attribute vec2 uv;","#ifdef USE_UV1"," attribute vec2 uv1;","#endif","#ifdef USE_UV2"," attribute vec2 uv2;","#endif","#ifdef USE_UV3"," attribute vec2 uv3;","#endif","#ifdef USE_TANGENT"," attribute vec4 tangent;","#endif","#if defined( USE_COLOR_ALPHA )"," attribute vec4 color;","#elif defined( USE_COLOR )"," attribute vec3 color;","#endif","#ifdef USE_SKINNING"," attribute vec4 skinIndex;"," attribute vec4 skinWeight;","#endif",` +`].filter(Qp).join(` +`),E=[w1(t),"#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,A,t.useFog&&t.fog?"#define USE_FOG":"",t.useFog&&t.fogExp2?"#define FOG_EXP2":"",t.alphaToCoverage?"#define ALPHA_TO_COVERAGE":"",t.map?"#define USE_MAP":"",t.matcap?"#define USE_MATCAP":"",t.envMap?"#define USE_ENVMAP":"",t.envMap?"#define "+g:"",t.envMap?"#define "+_:"",t.envMap?"#define "+x:"",b?"#define CUBEUV_TEXEL_WIDTH "+b.texelWidth:"",b?"#define CUBEUV_TEXEL_HEIGHT "+b.texelHeight:"",b?"#define CUBEUV_MAX_MIP "+b.maxMip+".0":"",t.lightMap?"#define USE_LIGHTMAP":"",t.aoMap?"#define USE_AOMAP":"",t.bumpMap?"#define USE_BUMPMAP":"",t.normalMap?"#define USE_NORMALMAP":"",t.normalMapObjectSpace?"#define USE_NORMALMAP_OBJECTSPACE":"",t.normalMapTangentSpace?"#define USE_NORMALMAP_TANGENTSPACE":"",t.emissiveMap?"#define USE_EMISSIVEMAP":"",t.anisotropy?"#define USE_ANISOTROPY":"",t.anisotropyMap?"#define USE_ANISOTROPYMAP":"",t.clearcoat?"#define USE_CLEARCOAT":"",t.clearcoatMap?"#define USE_CLEARCOATMAP":"",t.clearcoatRoughnessMap?"#define USE_CLEARCOAT_ROUGHNESSMAP":"",t.clearcoatNormalMap?"#define USE_CLEARCOAT_NORMALMAP":"",t.dispersion?"#define USE_DISPERSION":"",t.iridescence?"#define USE_IRIDESCENCE":"",t.iridescenceMap?"#define USE_IRIDESCENCEMAP":"",t.iridescenceThicknessMap?"#define USE_IRIDESCENCE_THICKNESSMAP":"",t.specularMap?"#define USE_SPECULARMAP":"",t.specularColorMap?"#define USE_SPECULAR_COLORMAP":"",t.specularIntensityMap?"#define USE_SPECULAR_INTENSITYMAP":"",t.roughnessMap?"#define USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaTest?"#define USE_ALPHATEST":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.sheen?"#define USE_SHEEN":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors||t.instancingColor||t.batchingColor?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.gradientMap?"#define USE_GRADIENTMAP":"",t.flatShading?"#define FLAT_SHADED":"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+m:"",t.premultipliedAlpha?"#define PREMULTIPLIED_ALPHA":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.decodeVideoTexture?"#define DECODE_VIDEO_TEXTURE":"",t.decodeVideoTextureEmissive?"#define DECODE_VIDEO_TEXTURE_EMISSIVE":"",t.logarithmicDepthBuffer?"#define USE_LOGARITHMIC_DEPTH_BUFFER":"",t.reversedDepthBuffer?"#define USE_REVERSED_DEPTH_BUFFER":"","uniform mat4 viewMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;",t.toneMapping!==gr?"#define TONE_MAPPING":"",t.toneMapping!==gr?un.tonemapping_pars_fragment:"",t.toneMapping!==gr?HO("toneMapping",t.toneMapping):"",t.dithering?"#define DITHERING":"",t.opaque?"#define OPAQUE":"",un.colorspace_pars_fragment,kO("linearToOutputTexel",t.outputColorSpace),GO(),t.useDepthPacking?"#define DEPTH_PACKING "+t.depthPacking:"",` +`].filter(Qp).join(` +`)),f=ab(f),f=E1(f,t),f=T1(f,t),h=ab(h),h=E1(h,t),h=T1(h,t),f=A1(f),h=A1(h),t.isRawShaderMaterial!==!0&&(N=`#version 300 es +`,w=[M,"#define attribute in","#define varying out","#define texture2D texture"].join(` +`)+` +`+w,E=["#define varying in",t.glslVersion===jx?"":"layout(location = 0) out highp vec4 pc_fragColor;",t.glslVersion===jx?"":"#define gl_FragColor pc_fragColor","#define gl_FragDepthEXT gl_FragDepth","#define texture2D texture","#define textureCube texture","#define texture2DProj textureProj","#define texture2DLodEXT textureLod","#define texture2DProjLodEXT textureProjLod","#define textureCubeLodEXT textureLod","#define texture2DGradEXT textureGrad","#define texture2DProjGradEXT textureProjGrad","#define textureCubeGradEXT textureGrad"].join(` +`)+` +`+E);const D=N+w+f,U=N+E+h,B=b1(s,s.VERTEX_SHADER,D),z=b1(s,s.FRAGMENT_SHADER,U);s.attachShader(R,B),s.attachShader(R,z),t.index0AttributeName!==void 0?s.bindAttribLocation(R,0,t.index0AttributeName):t.morphTargets===!0&&s.bindAttribLocation(R,0,"position"),s.linkProgram(R);function H(Z){if(r.debug.checkShaderErrors){const se=s.getProgramInfoLog(R)||"",te=s.getShaderInfoLog(B)||"",fe=s.getShaderInfoLog(z)||"",pe=se.trim(),Y=te.trim(),q=fe.trim();let ne=!0,be=!0;if(s.getProgramParameter(R,s.LINK_STATUS)===!1)if(ne=!1,typeof r.debug.onShaderError=="function")r.debug.onShaderError(s,R,B,z);else{const Ne=M1(s,B,"vertex"),X=M1(s,z,"fragment");Rt("THREE.WebGLProgram: Shader Error "+s.getError()+" - VALIDATE_STATUS "+s.getProgramParameter(R,s.VALIDATE_STATUS)+` + +Material Name: `+Z.name+` +Material Type: `+Z.type+` + +Program Info Log: `+pe+` +`+Ne+` +`+X)}else pe!==""?ft("WebGLProgram: Program Info Log:",pe):(Y===""||q==="")&&(be=!1);be&&(Z.diagnostics={runnable:ne,programLog:pe,vertexShader:{log:Y,prefix:w},fragmentShader:{log:q,prefix:E}})}s.deleteShader(B),s.deleteShader(z),W=new mv(s,R),I=qO(s,R)}let W;this.getUniforms=function(){return W===void 0&&H(this),W};let I;this.getAttributes=function(){return I===void 0&&H(this),I};let P=t.rendererExtensionParallelShaderCompile===!1;return this.isReady=function(){return P===!1&&(P=s.getProgramParameter(R,PO)),P},this.destroy=function(){n.releaseStatesOfProgram(this),s.deleteProgram(R),this.program=void 0},this.type=t.shaderType,this.name=t.shaderName,this.id=zO++,this.cacheKey=e,this.usedTimes=1,this.program=R,this.vertexShader=B,this.fragmentShader=z,this}let lP=0;class uP{constructor(){this.shaderCache=new Map,this.materialCache=new Map}update(e){const t=e.vertexShader,n=e.fragmentShader,s=this._getShaderStage(t),u=this._getShaderStage(n),f=this._getShaderCacheForMaterial(e);return f.has(s)===!1&&(f.add(s),s.usedTimes++),f.has(u)===!1&&(f.add(u),u.usedTimes++),this}remove(e){const t=this.materialCache.get(e);for(const n of t)n.usedTimes--,n.usedTimes===0&&this.shaderCache.delete(n.code);return this.materialCache.delete(e),this}getVertexShaderID(e){return this._getShaderStage(e.vertexShader).id}getFragmentShaderID(e){return this._getShaderStage(e.fragmentShader).id}dispose(){this.shaderCache.clear(),this.materialCache.clear()}_getShaderCacheForMaterial(e){const t=this.materialCache;let n=t.get(e);return n===void 0&&(n=new Set,t.set(e,n)),n}_getShaderStage(e){const t=this.shaderCache;let n=t.get(e);return n===void 0&&(n=new cP(e),t.set(e,n)),n}}class cP{constructor(e){this.id=lP++,this.code=e,this.usedTimes=0}}function fP(r,e,t,n,s,u,f){const h=new Kh,m=new uP,g=new Set,_=[],x=new Map,b=s.logarithmicDepthBuffer;let M=s.precision;const A={MeshDepthMaterial:"depth",MeshDistanceMaterial:"distance",MeshNormalMaterial:"normal",MeshBasicMaterial:"basic",MeshLambertMaterial:"lambert",MeshPhongMaterial:"phong",MeshToonMaterial:"toon",MeshStandardMaterial:"physical",MeshPhysicalMaterial:"physical",MeshMatcapMaterial:"matcap",LineBasicMaterial:"basic",LineDashedMaterial:"dashed",PointsMaterial:"points",ShadowMaterial:"shadow",SpriteMaterial:"sprite"};function R(I){return g.add(I),I===0?"uv":`uv${I}`}function w(I,P,Z,se,te){const fe=se.fog,pe=te.geometry,Y=I.isMeshStandardMaterial?se.environment:null,q=(I.isMeshStandardMaterial?t:e).get(I.envMap||Y),ne=q&&q.mapping===id?q.image.height:null,be=A[I.type];I.precision!==null&&(M=s.getMaxPrecision(I.precision),M!==I.precision&&ft("WebGLProgram.getParameters:",I.precision,"not supported, using",M,"instead."));const Ne=pe.morphAttributes.position||pe.morphAttributes.normal||pe.morphAttributes.color,X=Ne!==void 0?Ne.length:0;let oe=0;pe.morphAttributes.position!==void 0&&(oe=1),pe.morphAttributes.normal!==void 0&&(oe=2),pe.morphAttributes.color!==void 0&&(oe=3);let Ae,Fe,lt,de;if(be){const nn=qr[be];Ae=nn.vertexShader,Fe=nn.fragmentShader}else Ae=I.vertexShader,Fe=I.fragmentShader,m.update(I),lt=m.getVertexShaderID(I),de=m.getFragmentShaderID(I);const Re=r.getRenderTarget(),tt=r.state.buffers.depth.getReversed(),st=te.isInstancedMesh===!0,ht=te.isBatchedMesh===!0,jt=!!I.map,tn=!!I.matcap,Nt=!!q,Le=!!I.aoMap,He=!!I.lightMap,Oe=!!I.bumpMap,nt=!!I.normalMap,Q=!!I.displacementMap,Et=!!I.emissiveMap,ot=!!I.metalnessMap,Tt=!!I.roughnessMap,Qe=I.anisotropy>0,G=I.clearcoat>0,O=I.dispersion>0,ae=I.iridescence>0,Te=I.sheen>0,Ie=I.transmission>0,Ee=Qe&&!!I.anisotropyMap,dt=G&&!!I.clearcoatMap,Ke=G&&!!I.clearcoatNormalMap,vt=G&&!!I.clearcoatRoughnessMap,Dt=ae&&!!I.iridescenceMap,Ve=ae&&!!I.iridescenceThicknessMap,Ze=Te&&!!I.sheenColorMap,ct=Te&&!!I.sheenRoughnessMap,K=!!I.specularMap,me=!!I.specularColorMap,et=!!I.specularIntensityMap,J=Ie&&!!I.transmissionMap,je=Ie&&!!I.thicknessMap,Ge=!!I.gradientMap,at=!!I.alphaMap,Xe=I.alphaTest>0,Ue=!!I.alphaHash,Ye=!!I.extensions;let Ct=gr;I.toneMapped&&(Re===null||Re.isXRRenderTarget===!0)&&(Ct=r.toneMapping);const Jt={shaderID:be,shaderType:I.type,shaderName:I.name,vertexShader:Ae,fragmentShader:Fe,defines:I.defines,customVertexShaderID:lt,customFragmentShaderID:de,isRawShaderMaterial:I.isRawShaderMaterial===!0,glslVersion:I.glslVersion,precision:M,batching:ht,batchingColor:ht&&te._colorsTexture!==null,instancing:st,instancingColor:st&&te.instanceColor!==null,instancingMorph:st&&te.morphTexture!==null,outputColorSpace:Re===null?r.outputColorSpace:Re.isXRRenderTarget===!0?Re.texture.colorSpace:zu,alphaToCoverage:!!I.alphaToCoverage,map:jt,matcap:tn,envMap:Nt,envMapMode:Nt&&q.mapping,envMapCubeUVHeight:ne,aoMap:Le,lightMap:He,bumpMap:Oe,normalMap:nt,displacementMap:Q,emissiveMap:Et,normalMapObjectSpace:nt&&I.normalMapType===DE,normalMapTangentSpace:nt&&I.normalMapType===ku,metalnessMap:ot,roughnessMap:Tt,anisotropy:Qe,anisotropyMap:Ee,clearcoat:G,clearcoatMap:dt,clearcoatNormalMap:Ke,clearcoatRoughnessMap:vt,dispersion:O,iridescence:ae,iridescenceMap:Dt,iridescenceThicknessMap:Ve,sheen:Te,sheenColorMap:Ze,sheenRoughnessMap:ct,specularMap:K,specularColorMap:me,specularIntensityMap:et,transmission:Ie,transmissionMap:J,thicknessMap:je,gradientMap:Ge,opaque:I.transparent===!1&&I.blending===Kc&&I.alphaToCoverage===!1,alphaMap:at,alphaTest:Xe,alphaHash:Ue,combine:I.combine,mapUv:jt&&R(I.map.channel),aoMapUv:Le&&R(I.aoMap.channel),lightMapUv:He&&R(I.lightMap.channel),bumpMapUv:Oe&&R(I.bumpMap.channel),normalMapUv:nt&&R(I.normalMap.channel),displacementMapUv:Q&&R(I.displacementMap.channel),emissiveMapUv:Et&&R(I.emissiveMap.channel),metalnessMapUv:ot&&R(I.metalnessMap.channel),roughnessMapUv:Tt&&R(I.roughnessMap.channel),anisotropyMapUv:Ee&&R(I.anisotropyMap.channel),clearcoatMapUv:dt&&R(I.clearcoatMap.channel),clearcoatNormalMapUv:Ke&&R(I.clearcoatNormalMap.channel),clearcoatRoughnessMapUv:vt&&R(I.clearcoatRoughnessMap.channel),iridescenceMapUv:Dt&&R(I.iridescenceMap.channel),iridescenceThicknessMapUv:Ve&&R(I.iridescenceThicknessMap.channel),sheenColorMapUv:Ze&&R(I.sheenColorMap.channel),sheenRoughnessMapUv:ct&&R(I.sheenRoughnessMap.channel),specularMapUv:K&&R(I.specularMap.channel),specularColorMapUv:me&&R(I.specularColorMap.channel),specularIntensityMapUv:et&&R(I.specularIntensityMap.channel),transmissionMapUv:J&&R(I.transmissionMap.channel),thicknessMapUv:je&&R(I.thicknessMap.channel),alphaMapUv:at&&R(I.alphaMap.channel),vertexTangents:!!pe.attributes.tangent&&(nt||Qe),vertexColors:I.vertexColors,vertexAlphas:I.vertexColors===!0&&!!pe.attributes.color&&pe.attributes.color.itemSize===4,pointsUvs:te.isPoints===!0&&!!pe.attributes.uv&&(jt||at),fog:!!fe,useFog:I.fog===!0,fogExp2:!!fe&&fe.isFogExp2,flatShading:I.flatShading===!0&&I.wireframe===!1,sizeAttenuation:I.sizeAttenuation===!0,logarithmicDepthBuffer:b,reversedDepthBuffer:tt,skinning:te.isSkinnedMesh===!0,morphTargets:pe.morphAttributes.position!==void 0,morphNormals:pe.morphAttributes.normal!==void 0,morphColors:pe.morphAttributes.color!==void 0,morphTargetsCount:X,morphTextureStride:oe,numDirLights:P.directional.length,numPointLights:P.point.length,numSpotLights:P.spot.length,numSpotLightMaps:P.spotLightMap.length,numRectAreaLights:P.rectArea.length,numHemiLights:P.hemi.length,numDirLightShadows:P.directionalShadowMap.length,numPointLightShadows:P.pointShadowMap.length,numSpotLightShadows:P.spotShadowMap.length,numSpotLightShadowsWithMaps:P.numSpotLightShadowsWithMaps,numLightProbes:P.numLightProbes,numClippingPlanes:f.numPlanes,numClipIntersection:f.numIntersection,dithering:I.dithering,shadowMapEnabled:r.shadowMap.enabled&&Z.length>0,shadowMapType:r.shadowMap.type,toneMapping:Ct,decodeVideoTexture:jt&&I.map.isVideoTexture===!0&&Sn.getTransfer(I.map.colorSpace)===zn,decodeVideoTextureEmissive:Et&&I.emissiveMap.isVideoTexture===!0&&Sn.getTransfer(I.emissiveMap.colorSpace)===zn,premultipliedAlpha:I.premultipliedAlpha,doubleSided:I.side===Uo,flipSided:I.side===as,useDepthPacking:I.depthPacking>=0,depthPacking:I.depthPacking||0,index0AttributeName:I.index0AttributeName,extensionClipCullDistance:Ye&&I.extensions.clipCullDistance===!0&&n.has("WEBGL_clip_cull_distance"),extensionMultiDraw:(Ye&&I.extensions.multiDraw===!0||ht)&&n.has("WEBGL_multi_draw"),rendererExtensionParallelShaderCompile:n.has("KHR_parallel_shader_compile"),customProgramCacheKey:I.customProgramCacheKey()};return Jt.vertexUv1s=g.has(1),Jt.vertexUv2s=g.has(2),Jt.vertexUv3s=g.has(3),g.clear(),Jt}function E(I){const P=[];if(I.shaderID?P.push(I.shaderID):(P.push(I.customVertexShaderID),P.push(I.customFragmentShaderID)),I.defines!==void 0)for(const Z in I.defines)P.push(Z),P.push(I.defines[Z]);return I.isRawShaderMaterial===!1&&(N(P,I),D(P,I),P.push(r.outputColorSpace)),P.push(I.customProgramCacheKey),P.join()}function N(I,P){I.push(P.precision),I.push(P.outputColorSpace),I.push(P.envMapMode),I.push(P.envMapCubeUVHeight),I.push(P.mapUv),I.push(P.alphaMapUv),I.push(P.lightMapUv),I.push(P.aoMapUv),I.push(P.bumpMapUv),I.push(P.normalMapUv),I.push(P.displacementMapUv),I.push(P.emissiveMapUv),I.push(P.metalnessMapUv),I.push(P.roughnessMapUv),I.push(P.anisotropyMapUv),I.push(P.clearcoatMapUv),I.push(P.clearcoatNormalMapUv),I.push(P.clearcoatRoughnessMapUv),I.push(P.iridescenceMapUv),I.push(P.iridescenceThicknessMapUv),I.push(P.sheenColorMapUv),I.push(P.sheenRoughnessMapUv),I.push(P.specularMapUv),I.push(P.specularColorMapUv),I.push(P.specularIntensityMapUv),I.push(P.transmissionMapUv),I.push(P.thicknessMapUv),I.push(P.combine),I.push(P.fogExp2),I.push(P.sizeAttenuation),I.push(P.morphTargetsCount),I.push(P.morphAttributeCount),I.push(P.numDirLights),I.push(P.numPointLights),I.push(P.numSpotLights),I.push(P.numSpotLightMaps),I.push(P.numHemiLights),I.push(P.numRectAreaLights),I.push(P.numDirLightShadows),I.push(P.numPointLightShadows),I.push(P.numSpotLightShadows),I.push(P.numSpotLightShadowsWithMaps),I.push(P.numLightProbes),I.push(P.shadowMapType),I.push(P.toneMapping),I.push(P.numClippingPlanes),I.push(P.numClipIntersection),I.push(P.depthPacking)}function D(I,P){h.disableAll(),P.instancing&&h.enable(0),P.instancingColor&&h.enable(1),P.instancingMorph&&h.enable(2),P.matcap&&h.enable(3),P.envMap&&h.enable(4),P.normalMapObjectSpace&&h.enable(5),P.normalMapTangentSpace&&h.enable(6),P.clearcoat&&h.enable(7),P.iridescence&&h.enable(8),P.alphaTest&&h.enable(9),P.vertexColors&&h.enable(10),P.vertexAlphas&&h.enable(11),P.vertexUv1s&&h.enable(12),P.vertexUv2s&&h.enable(13),P.vertexUv3s&&h.enable(14),P.vertexTangents&&h.enable(15),P.anisotropy&&h.enable(16),P.alphaHash&&h.enable(17),P.batching&&h.enable(18),P.dispersion&&h.enable(19),P.batchingColor&&h.enable(20),P.gradientMap&&h.enable(21),I.push(h.mask),h.disableAll(),P.fog&&h.enable(0),P.useFog&&h.enable(1),P.flatShading&&h.enable(2),P.logarithmicDepthBuffer&&h.enable(3),P.reversedDepthBuffer&&h.enable(4),P.skinning&&h.enable(5),P.morphTargets&&h.enable(6),P.morphNormals&&h.enable(7),P.morphColors&&h.enable(8),P.premultipliedAlpha&&h.enable(9),P.shadowMapEnabled&&h.enable(10),P.doubleSided&&h.enable(11),P.flipSided&&h.enable(12),P.useDepthPacking&&h.enable(13),P.dithering&&h.enable(14),P.transmission&&h.enable(15),P.sheen&&h.enable(16),P.opaque&&h.enable(17),P.pointsUvs&&h.enable(18),P.decodeVideoTexture&&h.enable(19),P.decodeVideoTextureEmissive&&h.enable(20),P.alphaToCoverage&&h.enable(21),I.push(h.mask)}function 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dt=Ie?dm:Sn.getTransfer(Te);ae===r.FLOAT&&(Ee=r.RGBA32F),ae===r.HALF_FLOAT&&(Ee=r.RGBA16F),ae===r.UNSIGNED_BYTE&&(Ee=dt===zn?r.SRGB8_ALPHA8:r.RGBA8),ae===r.UNSIGNED_SHORT_4_4_4_4&&(Ee=r.RGBA4),ae===r.UNSIGNED_SHORT_5_5_5_1&&(Ee=r.RGB5_A1)}return(Ee===r.R16F||Ee===r.R32F||Ee===r.RG16F||Ee===r.RG32F||Ee===r.RGBA16F||Ee===r.RGBA32F)&&e.get("EXT_color_buffer_float"),Ee}function U(G,O){let ae;return G?O===null||O===vr||O===jh?ae=r.DEPTH24_STENCIL8:O===is?ae=r.DEPTH32F_STENCIL8:O===qh&&(ae=r.DEPTH24_STENCIL8,ft("DepthTexture: 16 bit depth attachment is not supported with stencil. 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0&&(G.__webglInit=!0,O.addEventListener("dispose",z));const Te=O.source;let Ie=b.get(Te);Ie===void 0&&(Ie={},b.set(Te,Ie));const Ee=fe(O);if(Ee!==G.__cacheKey){Ie[Ee]===void 0&&(Ie[Ee]={texture:r.createTexture(),usedTimes:0},f.memory.textures++,ae=!0),Ie[Ee].usedTimes++;const dt=Ie[G.__cacheKey];dt!==void 0&&(Ie[G.__cacheKey].usedTimes--,dt.usedTimes===0&&I(O)),G.__cacheKey=Ee,G.__webglTexture=Ie[Ee].texture}return ae}function Fe(G,O,ae){return Math.floor(Math.floor(G/ae)/O)}function lt(G,O,ae,Te){const Ee=G.updateRanges;if(Ee.length===0)t.texSubImage2D(r.TEXTURE_2D,0,0,0,O.width,O.height,ae,Te,O.data);else{Ee.sort((Ve,Ze)=>Ve.start-Ze.start);let dt=0;for(let Ve=1;Ve0){J&&je&&t.texStorage2D(r.TEXTURE_2D,at,K,et[0].width,et[0].height);for(let Xe=0,Ue=et.length;Xe0){const Ye=tb(me.width,me.height,O.format,O.type);for(const Ct of O.layerUpdates){const Jt=me.data.subarray(Ct*Ye/me.data.BYTES_PER_ELEMENT,(Ct+1)*Ye/me.data.BYTES_PER_ELEMENT);t.compressedTexSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,Ct,me.width,me.height,1,Ze,Jt)}O.clearLayerUpdates()}else t.compressedTexSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,0,me.width,me.height,Ve.depth,Ze,me.data)}else t.compressedTexImage3D(r.TEXTURE_2D_ARRAY,Xe,K,me.width,me.height,Ve.depth,0,me.data,0,0);else ft("WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()");else J?Ge&&t.texSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,0,me.width,me.height,Ve.depth,Ze,ct,me.data):t.texImage3D(r.TEXTURE_2D_ARRAY,Xe,K,me.width,me.height,Ve.depth,0,Ze,ct,me.data)}else{J&&je&&t.texStorage2D(r.TEXTURE_2D,at,K,et[0].width,et[0].height);for(let Xe=0,Ue=et.length;Xe0){const Xe=tb(Ve.width,Ve.height,O.format,O.type);for(const Ue of O.layerUpdates){const 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null;return n===jh?r.UNSIGNED_INT_24_8:r[n]!==void 0?r[n]:null}return{convert:t}}const RP=` +void main() { + + gl_Position = vec4( position, 1.0 ); + +}`,NP=` +uniform sampler2DArray depthColor; +uniform float depthWidth; +uniform float depthHeight; + +void main() { + + vec2 coord = vec2( gl_FragCoord.x / depthWidth, gl_FragCoord.y / depthHeight ); + + if ( coord.x >= 1.0 ) { + + gl_FragDepth = texture( depthColor, vec3( coord.x - 1.0, coord.y, 1 ) ).r; + + } else { + + gl_FragDepth = texture( depthColor, vec3( coord.x, coord.y, 0 ) ).r; + + } + +}`;class DP{constructor(){this.texture=null,this.mesh=null,this.depthNear=0,this.depthFar=0}init(e,t){if(this.texture===null){const n=new Pb(e.texture);(e.depthNear!==t.depthNear||e.depthFar!==t.depthFar)&&(this.depthNear=e.depthNear,this.depthFar=e.depthFar),this.texture=n}}getMesh(e){if(this.texture!==null&&this.mesh===null){const t=e.cameras[0].viewport,n=new 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Lo=null;function zP(){return Lo===null&&(Lo=new Yr(PP,16,16,tf,Bo),Lo.name="DFG_LUT",Lo.minFilter=oi,Lo.magFilter=oi,Lo.wrapS=Rs,Lo.wrapT=Rs,Lo.generateMipmaps=!1,Lo.needsUpdate=!0),Lo}class jT{constructor(e={}){const{canvas:t=kE(),context:n=null,depth:s=!0,stencil:u=!1,alpha:f=!1,antialias:h=!1,premultipliedAlpha:m=!0,preserveDrawingBuffer:g=!1,powerPreference:_="default",failIfMajorPerformanceCaveat:x=!1,reversedDepthBuffer:b=!1,outputBufferType:M=ts}=e;this.isWebGLRenderer=!0;let A;if(n!==null){if(typeof WebGLRenderingContext<"u"&&n instanceof WebGLRenderingContext)throw new Error("THREE.WebGLRenderer: WebGL 1 is not supported since r163.");A=n.getContextAttributes().alpha}else A=f;const R=M,w=new Set([My,Sy,wm]),E=new Set([ts,vr,qh,jh,_y,xy]),N=new Uint32Array(4),D=new Int32Array(4);let U=null,B=null;const z=[],H=[];let W=null;this.domElement=t,this.debug={checkShaderErrors:!0,onShaderError:null},this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.sortObjects=!0,this.clippingPlanes=[],this.localClippingEnabled=!1,this.toneMapping=gr,this.toneMappingExposure=1,this.transmissionResolutionScale=1;const I=this;let P=!1;this._outputColorSpace=Ia;let Z=0,se=0,te=null,fe=-1,pe=null;const Y=new jn,q=new jn;let ne=null;const be=new yt(0);let Ne=0,X=t.width,oe=t.height,Ae=1,Fe=null,lt=null;const de=new jn(0,0,X,oe),Re=new jn(0,0,X,oe);let tt=!1;const st=new ad;let ht=!1,jt=!1;const tn=new Xt,Nt=new j,Le=new jn,He={background:null,fog:null,environment:null,overrideMaterial:null,isScene:!0};let Oe=!1;function nt(){return te===null?Ae:1}let Q=n;function Et(k,re){return t.getContext(k,re)}try{const k={alpha:!0,depth:s,stencil:u,antialias:h,premultipliedAlpha:m,preserveDrawingBuffer:g,powerPreference:_,failIfMajorPerformanceCaveat:x};if("setAttribute"in t&&t.setAttribute("data-engine",`three.js r${my}`),t.addEventListener("webglcontextlost",Ct,!1),t.addEventListener("webglcontextrestored",Jt,!1),t.addEventListener("webglcontextcreationerror",nn,!1),Q===null){const re="webgl2";if(Q=Et(re,k),Q===null)throw Et(re)?new Error("Error creating WebGL context with your selected attributes."):new Error("Error creating WebGL context.")}}catch(k){throw Rt("WebGLRenderer: "+k.message),k}let ot,Tt,Qe,G,O,ae,Te,Ie,Ee,dt,Ke,vt,Dt,Ve,Ze,ct,K,me,et,J,je,Ge,at,Xe;function Ue(){ot=new BI(Q),ot.init(),Ge=new qT(Q,ot),Tt=new RI(Q,ot,e,Ge),Qe=new wP(Q,ot),Tt.reversedDepthBuffer&&b&&Qe.buffers.depth.setReversed(!0),G=new VI(Q),O=new hP,ae=new CP(Q,ot,Qe,O,Tt,Ge,G),Te=new DI(I),Ie=new zI(I),Ee=new WD(Q),at=new wI(Q,Ee),dt=new FI(Q,Ee,G,at),Ke=new GI(Q,dt,Ee,G),et=new HI(Q,Tt,ae),ct=new NI(O),vt=new fP(I,Te,Ie,ot,Tt,at,ct),Dt=new IP(I,O),Ve=new pP,Ze=new xP(ot),me=new AI(I,Te,Ie,Qe,Ke,A,m),K=new TP(I,Ke,Tt),Xe=new OP(Q,G,Tt,Qe),J=new CI(Q,ot,G),je=new kI(Q,ot,G),G.programs=vt.programs,I.capabilities=Tt,I.extensions=ot,I.properties=O,I.renderLists=Ve,I.shadowMap=K,I.state=Qe,I.info=G}Ue(),R!==ts&&(W=new WI(R,t.width,t.height,s,u));const Ye=new LP(I,Q);this.xr=Ye,this.getContext=function(){return Q},this.getContextAttributes=function(){return Q.getContextAttributes()},this.forceContextLoss=function(){const k=ot.get("WEBGL_lose_context");k&&k.loseContext()},this.forceContextRestore=function(){const k=ot.get("WEBGL_lose_context");k&&k.restoreContext()},this.getPixelRatio=function(){return Ae},this.setPixelRatio=function(k){k!==void 0&&(Ae=k,this.setSize(X,oe,!1))},this.getSize=function(k){return k.set(X,oe)},this.setSize=function(k,re,Se=!0){if(Ye.isPresenting){ft("WebGLRenderer: Can't change size while VR device is presenting.");return}X=k,oe=re,t.width=Math.floor(k*Ae),t.height=Math.floor(re*Ae),Se===!0&&(t.style.width=k+"px",t.style.height=re+"px"),W!==null&&W.setSize(t.width,t.height),this.setViewport(0,0,k,re)},this.getDrawingBufferSize=function(k){return k.set(X*Ae,oe*Ae).floor()},this.setDrawingBufferSize=function(k,re,Se){X=k,oe=re,Ae=Se,t.width=Math.floor(k*Se),t.height=Math.floor(re*Se),this.setViewport(0,0,k,re)},this.setEffects=function(k){if(R===ts){console.error("THREE.WebGLRenderer: setEffects() requires outputBufferType set to HalfFloatType or FloatType.");return}if(k){for(let re=0;re{function Je(){if(ye.forEach(function(mt){O.get(mt).currentProgram.isReady()&&ye.delete(mt)}),ye.size===0){ue(k);return}setTimeout(Je,10)}ot.get("KHR_parallel_shader_compile")!==null?Je():setTimeout(Je,10)})};let Ho=null;function Jr(k){Ho&&Ho(k)}function xr(){na.stop()}function Go(){na.start()}const na=new VT;na.setAnimationLoop(Jr),typeof self<"u"&&na.setContext(self),this.setAnimationLoop=function(k){Ho=k,Ye.setAnimationLoop(k),k===null?na.stop():na.start()},Ye.addEventListener("sessionstart",xr),Ye.addEventListener("sessionend",Go),this.render=function(k,re){if(re!==void 0&&re.isCamera!==!0){Rt("WebGLRenderer.render: camera is not an instance of THREE.Camera.");return}if(P===!0)return;const Se=Ye.enabled===!0&&Ye.isPresenting===!0,ye=W!==null&&(te===null||Se)&&W.begin(I,te);if(k.matrixWorldAutoUpdate===!0&&k.updateMatrixWorld(),re.parent===null&&re.matrixWorldAutoUpdate===!0&&re.updateMatrixWorld(),Ye.enabled===!0&&Ye.isPresenting===!0&&(W===null||W.isCompositing()===!1)&&(Ye.cameraAutoUpdate===!0&&Ye.updateCamera(re),re=Ye.getCamera()),k.isScene===!0&&k.onBeforeRender(I,k,re,te),B=Ze.get(k,H.length),B.init(re),H.push(B),tn.multiplyMatrices(re.projectionMatrix,re.matrixWorldInverse),st.setFromProjectionMatrix(tn,ks,re.reversedDepth),jt=this.localClippingEnabled,ht=ct.init(this.clippingPlanes,jt),U=Ve.get(k,z.length),U.init(),z.push(U),Ye.enabled===!0&&Ye.isPresenting===!0){const mt=I.xr.getDepthSensingMesh();mt!==null&&Fa(mt,re,-1/0,I.sortObjects)}Fa(k,re,0,I.sortObjects),U.finish(),I.sortObjects===!0&&U.sort(Fe,lt),Oe=Ye.enabled===!1||Ye.isPresenting===!1||Ye.hasDepthSensing()===!1,Oe&&me.addToRenderList(U,k),this.info.render.frame++,ht===!0&&ct.beginShadows();const ue=B.state.shadowsArray;if(K.render(ue,k,re),ht===!0&&ct.endShadows(),this.info.autoReset===!0&&this.info.reset(),(ye&&W.hasRenderPass())===!1){const mt=U.opaque,qe=U.transmissive;if(B.setupLights(),re.isArrayCamera){const _t=re.cameras;if(qe.length>0)for(let xt=0,Lt=_t.length;xt0&&Ri(mt,qe,k,re),Oe&&me.render(k),$n(U,k,re)}te!==null&&se===0&&(ae.updateMultisampleRenderTarget(te),ae.updateRenderTargetMipmap(te)),ye&&W.end(I),k.isScene===!0&&k.onAfterRender(I,k,re),at.resetDefaultState(),fe=-1,pe=null,H.pop(),H.length>0?(B=H[H.length-1],ht===!0&&ct.setGlobalState(I.clippingPlanes,B.state.camera)):B=null,z.pop(),z.length>0?U=z[z.length-1]:U=null};function Fa(k,re,Se,ye){if(k.visible===!1)return;if(k.layers.test(re.layers)){if(k.isGroup)Se=k.renderOrder;else if(k.isLOD)k.autoUpdate===!0&&k.update(re);else if(k.isLight)B.pushLight(k),k.castShadow&&B.pushShadow(k);else if(k.isSprite){if(!k.frustumCulled||st.intersectsSprite(k)){ye&&Le.setFromMatrixPosition(k.matrixWorld).applyMatrix4(tn);const mt=Ke.update(k),qe=k.material;qe.visible&&U.push(k,mt,qe,Se,Le.z,null)}}else if((k.isMesh||k.isLine||k.isPoints)&&(!k.frustumCulled||st.intersectsObject(k))){const mt=Ke.update(k),qe=k.material;if(ye&&(k.boundingSphere!==void 0?(k.boundingSphere===null&&k.computeBoundingSphere(),Le.copy(k.boundingSphere.center)):(mt.boundingSphere===null&&mt.computeBoundingSphere(),Le.copy(mt.boundingSphere.center)),Le.applyMatrix4(k.matrixWorld).applyMatrix4(tn)),Array.isArray(qe)){const _t=mt.groups;for(let xt=0,Lt=_t.length;xt0&&ka(ue,re,Se),Je.length>0&&ka(Je,re,Se),mt.length>0&&ka(mt,re,Se),Qe.buffers.depth.setTest(!0),Qe.buffers.depth.setMask(!0),Qe.buffers.color.setMask(!0),Qe.setPolygonOffset(!1)}function Ri(k,re,Se,ye){if((Se.isScene===!0?Se.overrideMaterial:null)!==null)return;if(B.state.transmissionRenderTarget[ye.id]===void 0){const Pt=ot.has("EXT_color_buffer_half_float")||ot.has("EXT_color_buffer_float");B.state.transmissionRenderTarget[ye.id]=new Hs(1,1,{generateMipmaps:!0,type:Pt?Bo:ts,minFilter:Io,samples:Tt.samples,stencilBuffer:u,resolveDepthBuffer:!1,resolveStencilBuffer:!1,colorSpace:Sn.workingColorSpace})}const Je=B.state.transmissionRenderTarget[ye.id],mt=ye.viewport||Y;Je.setSize(mt.z*I.transmissionResolutionScale,mt.w*I.transmissionResolutionScale);const qe=I.getRenderTarget(),_t=I.getActiveCubeFace(),xt=I.getActiveMipmapLevel();I.setRenderTarget(Je),I.getClearColor(be),Ne=I.getClearAlpha(),Ne<1&&I.setClearColor(16777215,.5),I.clear(),Oe&&me.render(Se);const Lt=I.toneMapping;I.toneMapping=gr;const St=ye.viewport;if(ye.viewport!==void 0&&(ye.viewport=void 0),B.setupLightsView(ye),ht===!0&&ct.setGlobalState(I.clippingPlanes,ye),ka(k,Se,ye),ae.updateMultisampleRenderTarget(Je),ae.updateRenderTargetMipmap(Je),ot.has("WEBGL_multisampled_render_to_texture")===!1){let Pt=!1;for(let Mn=0,Bn=re.length;Mn0),St=!!Se.morphAttributes.position,Pt=!!Se.morphAttributes.normal,Mn=!!Se.morphAttributes.color;let Bn=gr;ye.toneMapped&&(te===null||te.isXRRenderTarget===!0)&&(Bn=I.toneMapping);const In=Se.morphAttributes.position||Se.morphAttributes.normal||Se.morphAttributes.color,Wt=In!==void 0?In.length:0,ut=O.get(ye),_n=B.state.lights;if(ht===!0&&(jt===!0||k!==pe)){const Fi=k===pe&&ye.id===fe;ct.setState(ye,k,Fi)}let Ft=!1;ye.version===ut.__version?(ut.needsLights&&ut.lightsStateVersion!==_n.state.version||ut.outputColorSpace!==qe||ue.isBatchedMesh&&ut.batching===!1||!ue.isBatchedMesh&&ut.batching===!0||ue.isBatchedMesh&&ut.batchingColor===!0&&ue.colorTexture===null||ue.isBatchedMesh&&ut.batchingColor===!1&&ue.colorTexture!==null||ue.isInstancedMesh&&ut.instancing===!1||!ue.isInstancedMesh&&ut.instancing===!0||ue.isSkinnedMesh&&ut.skinning===!1||!ue.isSkinnedMesh&&ut.skinning===!0||ue.isInstancedMesh&&ut.instancingColor===!0&&ue.instanceColor===null||ue.isInstancedMesh&&ut.instancingColor===!1&&ue.instanceColor!==null||ue.isInstancedMesh&&ut.instancingMorph===!0&&ue.morphTexture===null||ue.isInstancedMesh&&ut.instancingMorph===!1&&ue.morphTexture!==null||ut.envMap!==_t||ye.fog===!0&&ut.fog!==Je||ut.numClippingPlanes!==void 0&&(ut.numClippingPlanes!==ct.numPlanes||ut.numIntersection!==ct.numIntersection)||ut.vertexAlphas!==xt||ut.vertexTangents!==Lt||ut.morphTargets!==St||ut.morphNormals!==Pt||ut.morphColors!==Mn||ut.toneMapping!==Bn||ut.morphTargetsCount!==Wt)&&(Ft=!0):(Ft=!0,ut.__version=ye.version);let xi=ut.currentProgram;Ft===!0&&(xi=Ha(ye,re,ue));let Ls=!1,Wn=!1,la=!1;const An=xi.getUniforms(),Ni=ut.uniforms;if(Qe.useProgram(xi.program)&&(Ls=!0,Wn=!0,la=!0),ye.id!==fe&&(fe=ye.id,Wn=!0),Ls||pe!==k){Qe.buffers.depth.getReversed()&&k.reversedDepth!==!0&&(k._reversedDepth=!0,k.updateProjectionMatrix()),An.setValue(Q,"projectionMatrix",k.projectionMatrix),An.setValue(Q,"viewMatrix",k.matrixWorldInverse);const ki=An.map.cameraPosition;ki!==void 0&&ki.setValue(Q,Nt.setFromMatrixPosition(k.matrixWorld)),Tt.logarithmicDepthBuffer&&An.setValue(Q,"logDepthBufFC",2/(Math.log(k.far+1)/Math.LN2)),(ye.isMeshPhongMaterial||ye.isMeshToonMaterial||ye.isMeshLambertMaterial||ye.isMeshBasicMaterial||ye.isMeshStandardMaterial||ye.isShaderMaterial)&&An.setValue(Q,"isOrthographic",k.isOrthographicCamera===!0),pe!==k&&(pe=k,Wn=!0,la=!0)}if(ut.needsLights&&(_n.state.directionalShadowMap.length>0&&An.setValue(Q,"directionalShadowMap",_n.state.directionalShadowMap,ae),_n.state.spotShadowMap.length>0&&An.setValue(Q,"spotShadowMap",_n.state.spotShadowMap,ae),_n.state.pointShadowMap.length>0&&An.setValue(Q,"pointShadowMap",_n.state.pointShadowMap,ae)),ue.isSkinnedMesh){An.setOptional(Q,ue,"bindMatrix"),An.setOptional(Q,ue,"bindMatrixInverse");const Fi=ue.skeleton;Fi&&(Fi.boneTexture===null&&Fi.computeBoneTexture(),An.setValue(Q,"boneTexture",Fi.boneTexture,ae))}ue.isBatchedMesh&&(An.setOptional(Q,ue,"batchingTexture"),An.setValue(Q,"batchingTexture",ue._matricesTexture,ae),An.setOptional(Q,ue,"batchingIdTexture"),An.setValue(Q,"batchingIdTexture",ue._indirectTexture,ae),An.setOptional(Q,ue,"batchingColorTexture"),ue._colorsTexture!==null&&An.setValue(Q,"batchingColorTexture",ue._colorsTexture,ae));const bi=Se.morphAttributes;if((bi.position!==void 0||bi.normal!==void 0||bi.color!==void 0)&&et.update(ue,Se,xi),(Wn||ut.receiveShadow!==ue.receiveShadow)&&(ut.receiveShadow=ue.receiveShadow,An.setValue(Q,"receiveShadow",ue.receiveShadow)),ye.isMeshGouraudMaterial&&ye.envMap!==null&&(Ni.envMap.value=_t,Ni.flipEnvMap.value=_t.isCubeTexture&&_t.isRenderTargetTexture===!1?-1:1),ye.isMeshStandardMaterial&&ye.envMap===null&&re.environment!==null&&(Ni.envMapIntensity.value=re.environmentIntensity),Ni.dfgLUT!==void 0&&(Ni.dfgLUT.value=zP()),Wn&&(An.setValue(Q,"toneMappingExposure",I.toneMappingExposure),ut.needsLights&&br(Ni,la),Je&&ye.fog===!0&&Dt.refreshFogUniforms(Ni,Je),Dt.refreshMaterialUniforms(Ni,ye,Ae,oe,B.state.transmissionRenderTarget[k.id]),mv.upload(Q,$r(ut),Ni,ae)),ye.isShaderMaterial&&ye.uniformsNeedUpdate===!0&&(mv.upload(Q,$r(ut),Ni,ae),ye.uniformsNeedUpdate=!1),ye.isSpriteMaterial&&An.setValue(Q,"center",ue.center),An.setValue(Q,"modelViewMatrix",ue.modelViewMatrix),An.setValue(Q,"normalMatrix",ue.normalMatrix),An.setValue(Q,"modelMatrix",ue.matrixWorld),ye.isShaderMaterial||ye.isRawShaderMaterial){const Fi=ye.uniformsGroups;for(let ki=0,Wo=Fi.length;ki0&&ae.useMultisampledRTT(k)===!1?ye=O.get(k).__webglMultisampledFramebuffer:Array.isArray(xt)?ye=xt[Se]:ye=xt,Y.copy(k.viewport),q.copy(k.scissor),ne=k.scissorTest}else Y.copy(de).multiplyScalar(Ae).floor(),q.copy(Re).multiplyScalar(Ae).floor(),ne=tt;if(Se!==0&&(ye=Mr),Qe.bindFramebuffer(Q.FRAMEBUFFER,ye)&&Qe.drawBuffers(k,ye),Qe.viewport(Y),Qe.scissor(q),Qe.setScissorTest(ne),ue){const qe=O.get(k.texture);Q.framebufferTexture2D(Q.FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_CUBE_MAP_POSITIVE_X+re,qe.__webglTexture,Se)}else if(Je){const qe=re;for(let _t=0;_t=0&&re<=k.width-ye&&Se>=0&&Se<=k.height-ue&&(k.textures.length>1&&Q.readBuffer(Q.COLOR_ATTACHMENT0+qe),Q.readPixels(re,Se,ye,ue,Ge.convert(Lt),Ge.convert(St),Je))}finally{const xt=te!==null?O.get(te).__webglFramebuffer:null;Qe.bindFramebuffer(Q.FRAMEBUFFER,xt)}}},this.readRenderTargetPixelsAsync=async function(k,re,Se,ye,ue,Je,mt,qe=0){if(!(k&&k.isWebGLRenderTarget))throw new Error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");let _t=O.get(k).__webglFramebuffer;if(k.isWebGLCubeRenderTarget&&mt!==void 0&&(_t=_t[mt]),_t)if(re>=0&&re<=k.width-ye&&Se>=0&&Se<=k.height-ue){Qe.bindFramebuffer(Q.FRAMEBUFFER,_t);const xt=k.textures[qe],Lt=xt.format,St=xt.type;if(!Tt.textureFormatReadable(Lt))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in RGBA or implementation defined format.");if(!Tt.textureTypeReadable(St))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in UnsignedByteType or implementation defined type.");const Pt=Q.createBuffer();Q.bindBuffer(Q.PIXEL_PACK_BUFFER,Pt),Q.bufferData(Q.PIXEL_PACK_BUFFER,Je.byteLength,Q.STREAM_READ),k.textures.length>1&&Q.readBuffer(Q.COLOR_ATTACHMENT0+qe),Q.readPixels(re,Se,ye,ue,Ge.convert(Lt),Ge.convert(St),0);const Mn=te!==null?O.get(te).__webglFramebuffer:null;Qe.bindFramebuffer(Q.FRAMEBUFFER,Mn);const Bn=Q.fenceSync(Q.SYNC_GPU_COMMANDS_COMPLETE,0);return Q.flush(),await q3(Q,Bn,4),Q.bindBuffer(Q.PIXEL_PACK_BUFFER,Pt),Q.getBufferSubData(Q.PIXEL_PACK_BUFFER,0,Je),Q.deleteBuffer(Pt),Q.deleteSync(Bn),Je}else throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: requested read bounds are out of range.")},this.copyFramebufferToTexture=function(k,re=null,Se=0){const ye=Math.pow(2,-Se),ue=Math.floor(k.image.width*ye),Je=Math.floor(k.image.height*ye),mt=re!==null?re.x:0,qe=re!==null?re.y:0;ae.setTexture2D(k,0),Q.copyTexSubImage2D(Q.TEXTURE_2D,Se,0,0,mt,qe,ue,Je),Qe.unbindTexture()};const eo=Q.createFramebuffer(),Xs=Q.createFramebuffer();this.copyTextureToTexture=function(k,re,Se=null,ye=null,ue=0,Je=null){Je===null&&(ue!==0?(Zh("WebGLRenderer: copyTextureToTexture function signature has changed to support src and dst mipmap levels."),Je=ue,ue=0):Je=0);let mt,qe,_t,xt,Lt,St,Pt,Mn,Bn;const In=k.isCompressedTexture?k.mipmaps[Je]:k.image;if(Se!==null)mt=Se.max.x-Se.min.x,qe=Se.max.y-Se.min.y,_t=Se.isBox3?Se.max.z-Se.min.z:1,xt=Se.min.x,Lt=Se.min.y,St=Se.isBox3?Se.min.z:0;else{const bi=Math.pow(2,-ue);mt=Math.floor(In.width*bi),qe=Math.floor(In.height*bi),k.isDataArrayTexture?_t=In.depth:k.isData3DTexture?_t=Math.floor(In.depth*bi):_t=1,xt=0,Lt=0,St=0}ye!==null?(Pt=ye.x,Mn=ye.y,Bn=ye.z):(Pt=0,Mn=0,Bn=0);const Wt=Ge.convert(re.format),ut=Ge.convert(re.type);let _n;re.isData3DTexture?(ae.setTexture3D(re,0),_n=Q.TEXTURE_3D):re.isDataArrayTexture||re.isCompressedArrayTexture?(ae.setTexture2DArray(re,0),_n=Q.TEXTURE_2D_ARRAY):(ae.setTexture2D(re,0),_n=Q.TEXTURE_2D),Q.pixelStorei(Q.UNPACK_FLIP_Y_WEBGL,re.flipY),Q.pixelStorei(Q.UNPACK_PREMULTIPLY_ALPHA_WEBGL,re.premultiplyAlpha),Q.pixelStorei(Q.UNPACK_ALIGNMENT,re.unpackAlignment);const Ft=Q.getParameter(Q.UNPACK_ROW_LENGTH),xi=Q.getParameter(Q.UNPACK_IMAGE_HEIGHT),Ls=Q.getParameter(Q.UNPACK_SKIP_PIXELS),Wn=Q.getParameter(Q.UNPACK_SKIP_ROWS),la=Q.getParameter(Q.UNPACK_SKIP_IMAGES);Q.pixelStorei(Q.UNPACK_ROW_LENGTH,In.width),Q.pixelStorei(Q.UNPACK_IMAGE_HEIGHT,In.height),Q.pixelStorei(Q.UNPACK_SKIP_PIXELS,xt),Q.pixelStorei(Q.UNPACK_SKIP_ROWS,Lt),Q.pixelStorei(Q.UNPACK_SKIP_IMAGES,St);const An=k.isDataArrayTexture||k.isData3DTexture,Ni=re.isDataArrayTexture||re.isData3DTexture;if(k.isDepthTexture){const bi=O.get(k),Fi=O.get(re),ki=O.get(bi.__renderTarget),Wo=O.get(Fi.__renderTarget);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,ki.__webglFramebuffer),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,Wo.__webglFramebuffer);for(let rs=0;rs<_t;rs++)An&&(Q.framebufferTextureLayer(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,O.get(k).__webglTexture,ue,St+rs),Q.framebufferTextureLayer(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,O.get(re).__webglTexture,Je,Bn+rs)),Q.blitFramebuffer(xt,Lt,mt,qe,Pt,Mn,mt,qe,Q.DEPTH_BUFFER_BIT,Q.NEAREST);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,null),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,null)}else if(ue!==0||k.isRenderTargetTexture||O.has(k)){const bi=O.get(k),Fi=O.get(re);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,eo),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,Xs);for(let ki=0;ki<_t;ki++)An?Q.framebufferTextureLayer(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,bi.__webglTexture,ue,St+ki):Q.framebufferTexture2D(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_2D,bi.__webglTexture,ue),Ni?Q.framebufferTextureLayer(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Fi.__webglTexture,Je,Bn+ki):Q.framebufferTexture2D(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_2D,Fi.__webglTexture,Je),ue!==0?Q.blitFramebuffer(xt,Lt,mt,qe,Pt,Mn,mt,qe,Q.COLOR_BUFFER_BIT,Q.NEAREST):Ni?Q.copyTexSubImage3D(_n,Je,Pt,Mn,Bn+ki,xt,Lt,mt,qe):Q.copyTexSubImage2D(_n,Je,Pt,Mn,xt,Lt,mt,qe);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,null),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,null)}else 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Error(s(387));var C=l.pendingProps;T=l.memoizedState,v=T.element,ka(o,l),br(l,C,null,p);var F=l.memoizedState;if(C=F.cache,Oe(l,Kn,C),C!==T.cache&&Et(l,[Kn],p,!0),Ds(),C=F.element,Zn&&T.isDehydrated)if(T={element:C,isDehydrated:!1,cache:F.cache},l.updateQueue.baseState=T,l.memoizedState=T,l.flags&256){l=$m(o,l,C,p);break e}else if(C!==v){v=be(Error(s(424)),l),He(v),l=$m(o,l,C,p);break e}else for(Zn&&(Qn=Ig(l.stateNode.containerInfo),Ui=l,dn=!0,or=null,pa=!0),p=xp(l,null,C,p),l.child=p;p;)p.flags=p.flags&-3|4096,p=p.sibling;else{if(Nt(),C===v){l=qs(o,l,p);break e}Zi(o,l,C,p)}l=l.child}return l;case 26:if(ms)return Qu(o,l),o===null?(p=up(l.type,null,l.pendingProps,null))?l.memoizedState=p:dn||(l.stateNode=Kf(l.type,l.pendingProps,Ki.current,l)):l.memoizedState=up(l.type,o.memoizedProps,l.pendingProps,o.memoizedState),null;case 27:if(Li)return Re(l),o===null&&Li&&dn&&(v=l.stateNode=Jf(l.type,l.pendingProps,Ki.current,Xi.current,!1),Ui=l,pa=!0,Qn=ip(l.type,v,Qn)),Zi(o,l,l.pendingProps.children,p),Qu(o,l),o===null&&(l.flags|=4194304),l.child;case 5:return o===null&&dn&&(Yg(l.type,l.pendingProps,Xi.current),(T=v=Qn)&&(v=zg(v,l.type,l.pendingProps,pa),v!==null?(l.stateNode=v,Ui=l,Qn=Ug(v),pa=!1,T=!0):T=!1),T||st(l)),Re(l),T=l.type,C=l.pendingProps,F=o!==null?o.memoizedProps:null,v=C.children,da(T,C)?v=null:F!==null&&da(T,F)&&(l.flags|=32),l.memoizedState!==null&&(T=xt(o,l,Pt,null,null,p),hi?ll._currentValue=T:ll._currentValue2=T),Qu(o,l),Zi(o,l,v,p),l.child;case 6:return o===null&&dn&&(lp(l.pendingProps,Xi.current),(o=p=Qn)&&(p=Bg(p,l.pendingProps,pa),p!==null?(l.stateNode=p,Ui=l,Qn=null,o=!0):o=!1),o||st(l)),null;case 13:return bd(o,l,p);case 4:return lt(l,l.stateNode.containerInfo),v=l.pendingProps,o===null?l.child=Ji(l,null,v,p):Zi(o,l,v,p),l.child;case 11:return Ym(o,l,l.type,l.pendingProps,p);case 7:return Zi(o,l,l.pendingProps,p),l.child;case 8:return Zi(o,l,l.pendingProps.children,p),l.child;case 12:return Zi(o,l,l.pendingProps.children,p),l.child;case 10:return v=l.pendingProps,Oe(l,l.type,v.value),Zi(o,l,v.children,p),l.child;case 9:return T=l.type._context,v=l.pendingProps.children,Qe(l),T=G(T),v=v(T),l.flags|=1,Zi(o,l,v,p),l.child;case 14:return Zm(o,l,l.type,l.pendingProps,p);case 15:return Qm(o,l,l.type,l.pendingProps,p);case 19:return Sd(o,l,p);case 31:return Jm(o,l,p);case 22:return Km(o,l,p,l.pendingProps);case 24:return Qe(l),v=G(Kn),o===null?(T=Ge(),T===null&&(T=rn,C=Te(),T.pooledCache=C,C.refCount++,C!==null&&(T.pooledCacheLanes|=p),T=C),l.memoizedState={parent:v,cache:T},Ri(l),Oe(l,Kn,T)):((o.lanes&p)!==0&&(ka(o,l),br(l,null,null,p),Ds()),T=o.memoizedState,C=l.memoizedState,T.parent!==v?(T={parent:v,cache:v},l.memoizedState=T,l.lanes===0&&(l.memoizedState=l.updateQueue.baseState=T),Oe(l,Kn,v)):(v=C.cache,Oe(l,Kn,v),v!==T.cache&&Et(l,[Kn],p,!0))),Zi(o,l,l.pendingProps.children,p),l.child;case 29:throw l.pendingProps}throw Error(s(156,l.tag))}function os(o){o.flags|=4}function Ju(o){ja&&(o.flags|=8)}function tg(o,l){if(o!==null&&o.child===l.child)return!1;if((l.flags&16)!==0)return!0;for(o=l.child;o!==null;){if((o.flags&8218)!==0||(o.subtreeFlags&8218)!==0)return!0;o=o.sibling}return!1}function Td(o,l,p,v){if(gn)for(p=l.child;p!==null;){if(p.tag===5||p.tag===6)hc(o,p.stateNode);else 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if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)T=C.child,T!==null&&(T.return=C),ng(o,C,!0,!0),T=!0;else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===l)break;for(;C.sibling===null;){if(C.return===null||C.return===l)return T;C=C.return}C.sibling.return=C.return,C=C.sibling}return T}function ig(o,l){if(ja&&tg(o,l)){o=l.stateNode;var p=o.containerInfo,v=Jd();ng(v,l,!1,!1),o.pendingChildren=v,os(l),Cg(p,v)}}function Ad(o,l,p,v){if(gn)o.memoizedProps!==v&&os(l);else if(ja){var T=o.stateNode,C=o.memoizedProps;if((o=tg(o,l))||C!==v){var F=Xi.current;C=wg(T,p,C,v,!o,null),C===T?l.stateNode=T:(Ju(l),Ma(C,p,v,F)&&os(l),l.stateNode=C,o&&Td(C,l,!1,!1))}else l.stateNode=T}}function ca(o,l,p,v,T){if((o.mode&32)!==0&&(p===null?dc(l,v):su(l,p,v))){if(o.flags|=16777216,(T&335544128)===T||Vd(l,v))if(ni(o.stateNode,l,v))o.flags|=8192;else if(mn())o.flags|=8192;else throw ma=lr,uh}else o.flags&=-16777217}function Hl(o,l){if(dp(l)){if(o.flags|=16777216,!pp(l))if(mn())o.flags|=8192;else throw ma=lr,uh}else o.flags&=-16777217}function $u(o,l){l!==null&&(o.flags|=4),o.flags&16384&&(l=o.tag!==22?U():536870912,o.lanes|=l,pu|=l)}function Gl(o,l){if(!dn)switch(o.tailMode){case"hidden":l=o.tail;for(var p=null;l!==null;)l.alternate!==null&&(p=l),l=l.sibling;p===null?o.tail=null:p.sibling=null;break;case"collapsed":p=o.tail;for(var v=null;p!==null;)p.alternate!==null&&(v=p),p=p.sibling;v===null?l||o.tail===null?o.tail=null:o.tail.sibling=null:v.sibling=null}}function Fn(o){var l=o.alternate!==null&&o.alternate.child===o.child,p=0,v=0;if(l)for(var T=o.child;T!==null;)p|=T.lanes|T.childLanes,v|=T.subtreeFlags&65011712,v|=T.flags&65011712,T.return=o,T=T.sibling;else for(T=o.child;T!==null;)p|=T.lanes|T.childLanes,v|=T.subtreeFlags,v|=T.flags,T.return=o,T=T.sibling;return o.subtreeFlags|=v,o.childLanes=p,l}function ag(o,l,p){var v=l.pendingProps;switch(Ae(l),l.tag){case 16:case 15:case 0:case 11:case 7:case 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Photons - light from distant galaxies - strike the CCD and light up specific pixels. This is the raw material for the everything a telescope does."},fe={stepLabel:"Step 1",title:"Photons are hitting the detector",body:"Notice how some pixels are bigger than others? They have more energy."};function ve(){return e.jsx("div",{className:"ccd-intro-screen",children:e.jsxs("div",{className:"ccd-intro-panel",children:[e.jsx("div",{className:"ccd-intro-logo-frame","aria-hidden":"true",children:e.jsx("img",{alt:"",className:"ccd-intro-logo",src:"/glitchhunterlogo.png"})}),e.jsx("div",{className:"ccd-intro-brand",children:e.jsx("span",{className:"ccd-intro-brand-mark",children:"Glitch Hunter's"})}),e.jsxs("div",{className:"ccd-intro-copy",children:[e.jsx("h2",{children:"Guide to Telescopes"}),e.jsx("p",{children:"How do they work? 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Violet means short wavelength and high energy."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Periodogram"}),e.jsx("p",{children:"How the brightness goes up and down over time."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Spectrogram"}),e.jsx("p",{children:"How much there is of each colour."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Periodo-spectrogram"}),e.jsx("p",{children:"Binning by both time and wavelength / frequency."})]})]}),e.jsx("p",{className:"ccd-closing-message",children:"You're on your way to becoming a Cosmotologist!"}),e.jsxs("div",{className:"ccd-closing-actions",children:[e.jsx("a",{className:"ccd-experience-button ccd-experience-button-secondary",href:"#orbit",children:"Start Over"}),e.jsx("button",{className:"ccd-experience-button",onClick:()=>{t?.({success:!0,score:100,data:{completedExperience:"ccd-photon-explorer",finalPage:"closing"}})},type:"button",children:"Take the Glitch Gate"})]})]})})}function Ne({page:t}){const n=U[t];return e.jsx("div",{className:"ccd-transition-screen",children:e.jsxs("div",{className:"ccd-transition-card",children:[e.jsx("span",{className:"ccd-stat-label emojilarge",children:n.emoji}),e.jsx("h2",{children:n.title}),e.jsx("p",{children:n.body}),e.jsx("div",{className:"ccd-transition-actions",children:e.jsx("a",{className:"ccd-experience-button",href:`#${n.nextPage}`,children:"Next"})})]})})}const D={eyebrow:"",title:"Space telescope 101",description:"In this interactive tutorial, you will see how photons hit eye of the telescope, and how that is turned into turned into different scientific charts. We`ll cover:"};function we(){const[t,n]=o.useState(.5),s=ie(t),a=B(s.hue,s.saturation,s.lightness,.98);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-energy-panel",children:[e.jsxs("div",{className:"ccd-energy-scale",children:[e.jsx("div",{className:"ccd-energy-spectrum","aria-hidden":"true",style:{"--ccd-spectrum-position":`${t*100}%`,"--ccd-spectrum-color":a}}),e.jsx("div",{className:"ccd-energy-slider-wrap",children:e.jsx("input",{"aria-label":"Photon wavelength and energy slider",className:"ccd-energy-slider",max:1,min:0,onChange:c=>n(Number(c.target.value)),step:.001,type:"range",value:t})}),e.jsxs("div",{className:"ccd-energy-scale-labels",children:[e.jsx("span",{children:"Longer wavelength"}),e.jsx("span",{children:"Shorter wavelength"})]}),e.jsxs("div",{className:"ccd-energy-scale-labels ccd-energy-scale-labels-strong",children:[e.jsx("span",{children:"Red, lower energy"}),e.jsx("span",{children:"Violet, higher energy"})]})]}),e.jsxs("div",{className:"ccd-energy-readout",children:[e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Selected colour"}),e.jsx("strong",{style:{color:a},children:s.label})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Wavelength"}),e.jsxs("strong",{children:[s.wavelength.toFixed(0)," nm"]})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Energy"}),e.jsxs("strong",{children:[s.energy.toFixed(2)," units"]})]})]})]})})}const Ee={eyebrow:"Photon Energy And Wavelength",title:"Photon colour maps to wavelength",description:"Each hit has energy and wavelength. Red means longer wavelength and lower energy, while violet means shorter wavelength and higher energy. Wavelength is mesaured in nano-meters (nm). One nanometer is one billionth of a meter - about the size of a virus. The visible spectrum ranges from around 380 nm (violet) to 750 nm (red). But telescopes can see beyond that, into high-energy ultraviolet and infrared wavelengths that our eyes can´t detect."},Se={stepLabel:"Colour has meaning",title:"One photon, one observation",body:"In this demo, whenever you see the 🟣 colour, it indicates high energy - short wavelength. 🔴 is lower energy, but longer wavelength. "};function Pe({type:t}){if(t==="count-wavelength-time")return e.jsx("div",{className:"ccd-mini-diagram ccd-mini-diagram-grid","aria-hidden":"true",children:Array.from({length:12},(s,a)=>e.jsx("span",{className:"ccd-mini-diagram-grid-cell",style:{opacity:.28+a%4*.14}},a))});const n=t==="count-time"?[.28,.58,.38,.76,.46,.66]:t==="energy-time"?[.22,.5,.42,.88,.56,.72]:[.2,.32,.48,.84,.6,.3];return e.jsx("div",{className:"ccd-mini-diagram","aria-hidden":"true",children:n.map((s,a)=>e.jsx("span",{className:`ccd-mini-diagram-bar${t!=="count-time"?" is-energy":""}`,style:{height:`${s*100}%`}},a))})}function Ce({page:t,onSelect:n,showGuide:s,onToggleGuide:a}){const c=t==="receptor",r=t==="photon",i=t==="eventlist";return e.jsxs("section",{className:"ccd-selector","aria-label":"Visualization selector",children:[e.jsxs("div",{className:"ccd-selector-root",children:[e.jsx("span",{className:"ccd-stat-label",children:"These plots are different ways of binning the same event list."}),e.jsx("p",{children:"Everything begins with the CCD receiving photons. Those hits become rows in an event list. After that, different binning rules produce different plots."})]}),e.jsxs("div",{className:"ccd-selector-raw",children:[e.jsxs("a",{className:`ccd-selector-link${c?" is-active":""}`,href:"#receptor",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Raw data"}),e.jsx("strong",{children:"1. Photons hit CCD pixels"}),e.jsx("span",{children:"This is the detector plane: the spatial pattern of hits on the telescope CCD."})]}),e.jsxs("a",{className:`ccd-selector-link${r?" is-active":""}`,href:"#photon",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Photon properties"}),e.jsx("strong",{children:"2. Colour indicates wavelength and energy"}),e.jsx("span",{children:"Red means lower energy and violet means higher energy, which is why later plots can bin by wavelength."})]}),e.jsxs("a",{className:`ccd-selector-link${i?" is-active":""}`,href:"#eventlist",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Recorded data"}),e.jsx("strong",{children:"3. Each hit becomes a row: time, energy, x, y"}),e.jsx("span",{children:"This is the FITS-style event table. Every later diagram is derived from these same rows."})]})]}),e.jsx("div",{className:"ccd-selector-section",children:e.jsxs("div",{className:"ccd-selector-axis",children:[e.jsx("span",{className:"ccd-stat-label",children:"4. Choose a binning rule"}),e.jsx("strong",{children:"Derived view: binned visualization"}),e.jsx("p",{children:"These plots are different ways of grouping the same event rows."})]})}),e.jsx("div",{className:"ccd-selector-results",children:ee.map(d=>e.jsxs("a",{className:`ccd-selector-leaf${d.page===t?" is-active":""}`,href:`#${d.page}`,onClick:n,children:[e.jsx("span",{className:"ccd-selector-leaf-dim",children:"Input: same event list"}),e.jsx(Pe,{type:d.diagram}),e.jsx("strong",{children:d.title}),e.jsxs("span",{children:["Rule: ",d.rule]}),e.jsxs("span",{children:["Output: ",d.output]})]},d.page))}),e.jsxs("div",{className:"ccd-selector-current",children:[e.jsx("span",{className:"ccd-stat-label",children:"Recording"}),e.jsx("button",{className:`ccd-selector-option${s?" is-active":""}`,onClick:a,type:"button",children:s?"Guide overlay on":"Guide overlay off"})]})]})}function Te(t){switch(t){case"intro":return D;case"receptor":return je;case"photon":return Ee;case"eventlist":return ke;case"binning":return We;case"flux":return De;case"periodogram":return Le;case"spectrogram":return $e;case"closing":return D;default:return D}}function Ae(t){switch(t){case"intro":return null;case"receptor":return fe;case"photon":return Se;case"eventlist":return Ge;case"binning":return Ye;case"flux":return Be;case"periodogram":return _e;case"spectrogram":return He}}function Me({page:t}){const n=I.indexOf(t),s=n>0?I[n-1]:null,a=n>=0&&n{const r=ue(a.cellIndex),i=(a.time-n)/1e3;return j[a.photonIndex],e.jsxs("div",{className:"ccd-event-table",children:[e.jsx("span",{children:i.toFixed(3)}),e.jsx("span",{style:{color:k(a.photonIndex,.92)},children:a.energy.toFixed(2)}),e.jsx("span",{children:String(r.x).padStart(2,"0")}),e.jsx("span",{children:String(r.y).padStart(2,"0")})]},`${a.time}-${a.cellIndex}-${c}`)}),s.length===0?e.jsxs("div",{className:"ccd-event-table ccd-event-table-empty",children:[e.jsx("span",{children:"No rows yet"}),e.jsx("span",{children:"Waiting"}),e.jsx("span",{children:"--"}),e.jsx("span",{children:"--"})]}):null]})]}),e.jsx("div",{className:"ccd-flux-legend",children:j.map((a,c)=>e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-legend-dot",style:{background:k(c,.92),boxShadow:`0 0 0.8rem ${k(c,.56)}`}}),e.jsx("span",{children:a.label})]},a.label))})]})})}const ke={eyebrow:"FITS Event Table",title:"Photon event list view",description:"The clicks are recorded in a table, called the event list, with the time, energy, and CCD pixel position."},Ge={stepLabel:"Step 3",title:"Each hit becomes a row in the event list",body:"Astronomy pipelines often save these events as FITS tables. This is the raw data you can download from Telescopes like Chandra!"};function Ie({spectralEnergy:t}){const n=Math.max(...t,.01),s=t.reduce((a,c)=>a+c,0)||1;return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Integrated over last 12 completed 1.0 s bins"}),e.jsxs("strong",{children:[s.toFixed(2)," total energy units"]})]}),e.jsx("div",{className:"ccd-periodogram","aria-label":"Periodogram chart",children:j.map((a,c)=>{const r=G(t[c]/n,0,1),i=t[c]/s;return e.jsxs("div",{className:"ccd-periodogram-band",children:[e.jsx("div",{className:"ccd-bar-shell",children:e.jsx("div",{className:"ccd-bar-fill",style:{height:`${18+r*82}%`,background:`linear-gradient(180deg, ${k(c,.55)}, ${k(c,1)})`,boxShadow:`0 0 1.4rem ${k(c,.72)}`}})}),e.jsxs("div",{className:"ccd-band-meta",children:[e.jsx("strong",{children:a.shortLabel}),e.jsxs("span",{children:[a.wavelength," nm"]}),e.jsxs("span",{children:[t[c].toFixed(2)," E"]}),e.jsxs("span",{children:[(i*100).toFixed(1),"%"]})]})]},a.label)})})]})})}const Le={eyebrow:"Spectral power",title:"Spectrogram of energy",description:"We put low-energy on the left, and high energy on the right. The energy of all the photons in each frequency bin integrated over some period (here last 12 secs) gives us the shape of the spectrum during that time."},_e={stepLabel:"Step 6",title:"Spectral power",body:"Spectral power reveals the energy distribution, and it´s very important for many applications. It can tell us a lot about how stars work"};function Oe({spectrogramBins:t}){const n=Math.max(...t.flat(),1);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Clicks per 1.0 s time bin"}),e.jsxs("strong",{children:[L," time bins x ",j.length," frequency bins"]})]}),e.jsxs("div",{className:"ccd-spectrogram-shell",children:[e.jsx("div",{className:"ccd-spectrogram-axis",children:j.map(s=>e.jsx("span",{children:s.label},s.label))}),e.jsx("div",{className:"ccd-spectrogram","aria-label":"Spectrogram heat map",children:j.map((s,a)=>e.jsx("div",{className:"ccd-spectrogram-row",children:t[a].map((c,r)=>e.jsx("span",{className:"ccd-spectrogram-cell",style:{background:k(a,c/n),boxShadow:c>0?`0 0 0.8rem ${k(a,c/n)}`:"none"}},`${s.label}-${r}`))},s.label))})]}),e.jsxs("div",{className:"ccd-spectrogram-footer",children:[e.jsx("span",{children:"Earlier"}),e.jsx("span",{children:"Now"})]})]})})}const $e={eyebrow:"Frequency X Time",title:"Periodo-spectro-gram!",description:"You can play around with the same data and make many charts! This shows the energy arriving during each time bin for each frequency bin!"},He={stepLabel:"Step 7",title:"Binned by time and frequency",body:"Is it useful? Maybe not for a lot of applications, but it looks pretty!"};function Fe({fluxBins:t}){const n=t.some(y=>y>0)?t:[1.2,1.8,1.4,2.1,1.7,1.5,2.3,1.6,1.9,1.4,2,1.7],s=n.map((y,v)=>{const h=n.slice(0,v+1);return h.reduce((T,R)=>T+R,0)/h.length}),a=n[n.length-1]??0,c=n.reduce((y,v)=>y+v,0)/n.length,r=n.reduce((y,v)=>y+(v-c)**2,0)/n.length,i=Math.sqrt(r),d=Math.min(...n),p=Math.max(...n),u=Math.min(...s),m=Math.max(...s),N={min:Math.min(d,u),max:Math.max(p,m)},f=V(n,760,240,N),M=re(n,760,240,N),C=V(s,760,240,N);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Total energy per 1.0 s bin"}),e.jsxs("strong",{children:[a.toFixed(2)," energy units in latest bin"]})]}),e.jsxs("div",{className:"ccd-flux-chart-shell",children:[e.jsxs("svg",{className:"ccd-flux-chart",viewBox:"0 0 760 240","aria-label":"Total flux variability chart",preserveAspectRatio:"none",children:[e.jsxs("defs",{children:[e.jsxs("linearGradient",{id:"fluxArea",x1:"0",x2:"0",y1:"0",y2:"1",children:[e.jsx("stop",{offset:"0%",stopColor:"rgba(255, 113, 74, 0.40)"}),e.jsx("stop",{offset:"100%",stopColor:"rgba(125, 100, 255, 0.03)"})]}),e.jsxs("linearGradient",{id:"fluxLine",x1:"0",x2:"1",y1:"0",y2:"0",children:[e.jsx("stop",{offset:"0%",stopColor:"#ff8d66"}),e.jsx("stop",{offset:"55%",stopColor:"#ffd35d"}),e.jsx("stop",{offset:"100%",stopColor:"#8f7dff"})]})]}),n.map((y,v)=>{const h=760/n.length;return e.jsx("rect",{className:v%2===0?"ccd-flux-bin":"ccd-flux-bin ccd-flux-bin-alt",x:v*h,y:0,width:h,height:240},v)}),e.jsx("path",{className:"ccd-flux-area",d:M,fill:"url(#fluxArea)"}),e.jsx("path",{className:"ccd-flux-line",d:f,stroke:"url(#fluxLine)"}),e.jsx("path",{className:"ccd-flux-mean-line",d:C})]}),e.jsxs("div",{className:"ccd-flux-legend",children:[e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-raw"}),e.jsx("span",{children:"Raw flux"})]}),e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-mean"}),e.jsx("span",{children:"Running mean"})]})]}),e.jsxs("div",{className:"ccd-flux-axis",children:[e.jsx("span",{children:"Earlier"}),e.jsx("span",{children:"Now"})]})]}),e.jsxs("div",{className:"ccd-flux-metrics",children:[e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Mean flux"}),e.jsx("strong",{children:c.toFixed(4)})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Sigma"}),e.jsx("strong",{children:i.toFixed(4)})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Range"}),e.jsxs("strong",{children:[d.toFixed(4)," to ",p.toFixed(4)]})]})]})]})})}const De={eyebrow:"Flux Variability",title:"Total flux periodogram",description:"If we focus on the energy instead of the count, we get the flux - energy per second. It tells us how the total energy varies over time (1 sec bins)."},Be={stepLabel:"Step 5",title:"Periodogram of flux",body:"This tells you how much the flux varies over time . 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dd{margin:0;color:var(--terminal-green-soft)}.gallery-log-list{display:flex;flex-direction:column;gap:12px;max-height:360px;overflow:auto}.gallery-log-item{padding:12px;border-radius:14px;background:#070c09eb;border:1px solid rgba(125,255,155,.1)}.gallery-pre{margin:0;white-space:pre-wrap;word-break:break-word;color:#d8f9df;font-family:SFMono-Regular,Menlo,monospace;font-size:.78rem;line-height:1.45}@media(max-width:1200px){.gallery-grid{grid-template-columns:minmax(0,1fr) 320px}}@media(max-width:960px){body{overflow:auto}body[data-gallery-mode=shell] #root{height:auto;min-height:100%}.gallery-shell{grid-template-columns:1fr;height:auto}.gallery-sidebar{border-right:0;border-bottom:1px solid rgba(125,255,155,.14)}.gallery-grid{grid-template-columns:1fr}.gallery-viewport-switcher,.gallery-toolbar-actions{justify-content:flex-start}.gallery-stage{min-height:70vh}} diff --git a/dist/glitch/glitch_gallery/assets/index-DnqmHVBx.js b/dist/glitch/glitch_gallery/assets/index-DnqmHVBx.js new file mode 100644 index 0000000..10c4a01 --- /dev/null +++ b/dist/glitch/glitch_gallery/assets/index-DnqmHVBx.js @@ -0,0 +1 @@ +import{k as Zt,V as g,l as U,T as Y,Q as yt,m as bt,b as E,n as Ht,f as Kt,M as Ft,r as b,o as gt,C as Et,F as wt,P as Xt,W as Vt,p as Wt,q as qt,s as Pt,t as Gt,v as Bt,w as Qt,I as Mt,i as $t,j as w,x as Jt,y as te,z as Dt}from"./index-CEeZxcxj.js";const St={type:"change"},et={type:"start"},Ct={type:"end"},V=new Ht,Tt=new Kt,ee=Math.cos(70*Ft.DEG2RAD),h=new g,f=2*Math.PI,a={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6},$=1e-6;class se extends Zt{constructor(t,e=null){super(t,e),this.state=a.NONE,this.target=new g,this.cursor=new g,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minTargetRadius=0,this.maxTargetRadius=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.keyRotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.zoomToCursor=!1,this.autoRotate=!1,this.autoRotateSpeed=2,this.keys={LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"},this.mouseButtons={LEFT:U.ROTATE,MIDDLE:U.DOLLY,RIGHT:U.PAN},this.touches={ONE:Y.ROTATE,TWO:Y.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this._lastPosition=new g,this._lastQuaternion=new yt,this._lastTargetPosition=new g,this._quat=new yt().setFromUnitVectors(t.up,new g(0,1,0)),this._quatInverse=this._quat.clone().invert(),this._spherical=new bt,this._sphericalDelta=new bt,this._scale=1,this._panOffset=new g,this._rotateStart=new E,this._rotateEnd=new E,this._rotateDelta=new E,this._panStart=new E,this._panEnd=new E,this._panDelta=new E,this._dollyStart=new E,this._dollyEnd=new E,this._dollyDelta=new E,this._dollyDirection=new g,this._mouse=new E,this._performCursorZoom=!1,this._pointers=[],this._pointerPositions={},this._controlActive=!1,this._onPointerMove=oe.bind(this),this._onPointerDown=ie.bind(this),this._onPointerUp=ae.bind(this),this._onContextMenu=pe.bind(this),this._onMouseWheel=he.bind(this),this._onKeyDown=le.bind(this),this._onTouchStart=ce.bind(this),this._onTouchMove=de.bind(this),this._onMouseDown=ne.bind(this),this._onMouseMove=re.bind(this),this._interceptControlDown=ue.bind(this),this._interceptControlUp=me.bind(this),this.domElement!==null&&this.connect(this.domElement),this.update()}connect(t){super.connect(t),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointercancel",this._onPointerUp),this.domElement.addEventListener("contextmenu",this._onContextMenu),this.domElement.addEventListener("wheel",this._onMouseWheel,{passive:!1}),this.domElement.getRootNode().addEventListener("keydown",this._interceptControlDown,{passive:!0,capture:!0}),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.ownerDocument.removeEventListener("pointermove",this._onPointerMove),this.domElement.ownerDocument.removeEventListener("pointerup",this._onPointerUp),this.domElement.removeEventListener("pointercancel",this._onPointerUp),this.domElement.removeEventListener("wheel",this._onMouseWheel),this.domElement.removeEventListener("contextmenu",this._onContextMenu),this.stopListenToKeyEvents(),this.domElement.getRootNode().removeEventListener("keydown",this._interceptControlDown,{capture:!0}),this.domElement.style.touchAction="auto"}dispose(){this.disconnect()}getPolarAngle(){return this._spherical.phi}getAzimuthalAngle(){return this._spherical.theta}getDistance(){return this.object.position.distanceTo(this.target)}listenToKeyEvents(t){t.addEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=t}stopListenToKeyEvents(){this._domElementKeyEvents!==null&&(this._domElementKeyEvents.removeEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=null)}saveState(){this.target0.copy(this.target),this.position0.copy(this.object.position),this.zoom0=this.object.zoom}reset(){this.target.copy(this.target0),this.object.position.copy(this.position0),this.object.zoom=this.zoom0,this.object.updateProjectionMatrix(),this.dispatchEvent(St),this.update(),this.state=a.NONE}update(t=null){const e=this.object.position;h.copy(e).sub(this.target),h.applyQuaternion(this._quat),this._spherical.setFromVector3(h),this.autoRotate&&this.state===a.NONE&&this._rotateLeft(this._getAutoRotationAngle(t)),this.enableDamping?(this._spherical.theta+=this._sphericalDelta.theta*this.dampingFactor,this._spherical.phi+=this._sphericalDelta.phi*this.dampingFactor):(this._spherical.theta+=this._sphericalDelta.theta,this._spherical.phi+=this._sphericalDelta.phi);let i=this.minAzimuthAngle,o=this.maxAzimuthAngle;isFinite(i)&&isFinite(o)&&(i<-Math.PI?i+=f:i>Math.PI&&(i-=f),o<-Math.PI?o+=f:o>Math.PI&&(o-=f),i<=o?this._spherical.theta=Math.max(i,Math.min(o,this._spherical.theta)):this._spherical.theta=this._spherical.theta>(i+o)/2?Math.max(i,this._spherical.theta):Math.min(o,this._spherical.theta)),this._spherical.phi=Math.max(this.minPolarAngle,Math.min(this.maxPolarAngle,this._spherical.phi)),this._spherical.makeSafe(),this.enableDamping===!0?this.target.addScaledVector(this._panOffset,this.dampingFactor):this.target.add(this._panOffset),this.target.sub(this.cursor),this.target.clampLength(this.minTargetRadius,this.maxTargetRadius),this.target.add(this.cursor);let n=!1;if(this.zoomToCursor&&this._performCursorZoom||this.object.isOrthographicCamera)this._spherical.radius=this._clampDistance(this._spherical.radius);else{const r=this._spherical.radius;this._spherical.radius=this._clampDistance(this._spherical.radius*this._scale),n=r!=this._spherical.radius}if(h.setFromSpherical(this._spherical),h.applyQuaternion(this._quatInverse),e.copy(this.target).add(h),this.object.lookAt(this.target),this.enableDamping===!0?(this._sphericalDelta.theta*=1-this.dampingFactor,this._sphericalDelta.phi*=1-this.dampingFactor,this._panOffset.multiplyScalar(1-this.dampingFactor)):(this._sphericalDelta.set(0,0,0),this._panOffset.set(0,0,0)),this.zoomToCursor&&this._performCursorZoom){let r=null;if(this.object.isPerspectiveCamera){const l=h.length();r=this._clampDistance(l*this._scale);const m=l-r;this.object.position.addScaledVector(this._dollyDirection,m),this.object.updateMatrixWorld(),n=!!m}else if(this.object.isOrthographicCamera){const l=new g(this._mouse.x,this._mouse.y,0);l.unproject(this.object);const m=this.object.zoom;this.object.zoom=Math.max(this.minZoom,Math.min(this.maxZoom,this.object.zoom/this._scale)),this.object.updateProjectionMatrix(),n=m!==this.object.zoom;const c=new g(this._mouse.x,this._mouse.y,0);c.unproject(this.object),this.object.position.sub(c).add(l),this.object.updateMatrixWorld(),r=h.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),this.zoomToCursor=!1;r!==null&&(this.screenSpacePanning?this.target.set(0,0,-1).transformDirection(this.object.matrix).multiplyScalar(r).add(this.object.position):(V.origin.copy(this.object.position),V.direction.set(0,0,-1).transformDirection(this.object.matrix),Math.abs(this.object.up.dot(V.direction))$||8*(1-this._lastQuaternion.dot(this.object.quaternion))>$||this._lastTargetPosition.distanceToSquared(this.target)>$?(this.dispatchEvent(St),this._lastPosition.copy(this.object.position),this._lastQuaternion.copy(this.object.quaternion),this._lastTargetPosition.copy(this.target),!0):!1}_getAutoRotationAngle(t){return t!==null?f/60*this.autoRotateSpeed*t:f/60/60*this.autoRotateSpeed}_getZoomScale(t){const e=Math.abs(t*.01);return Math.pow(.95,this.zoomSpeed*e)}_rotateLeft(t){this._sphericalDelta.theta-=t}_rotateUp(t){this._sphericalDelta.phi-=t}_panLeft(t,e){h.setFromMatrixColumn(e,0),h.multiplyScalar(-t),this._panOffset.add(h)}_panUp(t,e){this.screenSpacePanning===!0?h.setFromMatrixColumn(e,1):(h.setFromMatrixColumn(e,0),h.crossVectors(this.object.up,h)),h.multiplyScalar(t),this._panOffset.add(h)}_pan(t,e){const i=this.domElement;if(this.object.isPerspectiveCamera){const o=this.object.position;h.copy(o).sub(this.target);let n=h.length();n*=Math.tan(this.object.fov/2*Math.PI/180),this._panLeft(2*t*n/i.clientHeight,this.object.matrix),this._panUp(2*e*n/i.clientHeight,this.object.matrix)}else this.object.isOrthographicCamera?(this._panLeft(t*(this.object.right-this.object.left)/this.object.zoom/i.clientWidth,this.object.matrix),this._panUp(e*(this.object.top-this.object.bottom)/this.object.zoom/i.clientHeight,this.object.matrix)):(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."),this.enablePan=!1)}_dollyOut(t){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale/=t:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_dollyIn(t){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale*=t:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_updateZoomParameters(t,e){if(!this.zoomToCursor)return;this._performCursorZoom=!0;const i=this.domElement.getBoundingClientRect(),o=t-i.left,n=e-i.top,r=i.width,l=i.height;this._mouse.x=o/r*2-1,this._mouse.y=-(n/l)*2+1,this._dollyDirection.set(this._mouse.x,this._mouse.y,1).unproject(this.object).sub(this.object.position).normalize()}_clampDistance(t){return Math.max(this.minDistance,Math.min(this.maxDistance,t))}_handleMouseDownRotate(t){this._rotateStart.set(t.clientX,t.clientY)}_handleMouseDownDolly(t){this._updateZoomParameters(t.clientX,t.clientX),this._dollyStart.set(t.clientX,t.clientY)}_handleMouseDownPan(t){this._panStart.set(t.clientX,t.clientY)}_handleMouseMoveRotate(t){this._rotateEnd.set(t.clientX,t.clientY),this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const e=this.domElement;this._rotateLeft(f*this._rotateDelta.x/e.clientHeight),this._rotateUp(f*this._rotateDelta.y/e.clientHeight),this._rotateStart.copy(this._rotateEnd),this.update()}_handleMouseMoveDolly(t){this._dollyEnd.set(t.clientX,t.clientY),this._dollyDelta.subVectors(this._dollyEnd,this._dollyStart),this._dollyDelta.y>0?this._dollyOut(this._getZoomScale(this._dollyDelta.y)):this._dollyDelta.y<0&&this._dollyIn(this._getZoomScale(this._dollyDelta.y)),this._dollyStart.copy(this._dollyEnd),this.update()}_handleMouseMovePan(t){this._panEnd.set(t.clientX,t.clientY),this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd),this.update()}_handleMouseWheel(t){this._updateZoomParameters(t.clientX,t.clientY),t.deltaY<0?this._dollyIn(this._getZoomScale(t.deltaY)):t.deltaY>0&&this._dollyOut(this._getZoomScale(t.deltaY)),this.update()}_handleKeyDown(t){let e=!1;switch(t.code){case this.keys.UP:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateUp(f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,this.keyPanSpeed),e=!0;break;case this.keys.BOTTOM:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateUp(-f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,-this.keyPanSpeed),e=!0;break;case this.keys.LEFT:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateLeft(f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(this.keyPanSpeed,0),e=!0;break;case this.keys.RIGHT:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateLeft(-f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(-this.keyPanSpeed,0),e=!0;break}e&&(t.preventDefault(),this.update())}_handleTouchStartRotate(t){if(this._pointers.length===1)this._rotateStart.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._rotateStart.set(i,o)}}_handleTouchStartPan(t){if(this._pointers.length===1)this._panStart.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._panStart.set(i,o)}}_handleTouchStartDolly(t){const e=this._getSecondPointerPosition(t),i=t.pageX-e.x,o=t.pageY-e.y,n=Math.sqrt(i*i+o*o);this._dollyStart.set(0,n)}_handleTouchStartDollyPan(t){this.enableZoom&&this._handleTouchStartDolly(t),this.enablePan&&this._handleTouchStartPan(t)}_handleTouchStartDollyRotate(t){this.enableZoom&&this._handleTouchStartDolly(t),this.enableRotate&&this._handleTouchStartRotate(t)}_handleTouchMoveRotate(t){if(this._pointers.length==1)this._rotateEnd.set(t.pageX,t.pageY);else{const i=this._getSecondPointerPosition(t),o=.5*(t.pageX+i.x),n=.5*(t.pageY+i.y);this._rotateEnd.set(o,n)}this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const e=this.domElement;this._rotateLeft(f*this._rotateDelta.x/e.clientHeight),this._rotateUp(f*this._rotateDelta.y/e.clientHeight),this._rotateStart.copy(this._rotateEnd)}_handleTouchMovePan(t){if(this._pointers.length===1)this._panEnd.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._panEnd.set(i,o)}this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd)}_handleTouchMoveDolly(t){const e=this._getSecondPointerPosition(t),i=t.pageX-e.x,o=t.pageY-e.y,n=Math.sqrt(i*i+o*o);this._dollyEnd.set(0,n),this._dollyDelta.set(0,Math.pow(this._dollyEnd.y/this._dollyStart.y,this.zoomSpeed)),this._dollyOut(this._dollyDelta.y),this._dollyStart.copy(this._dollyEnd);const r=(t.pageX+e.x)*.5,l=(t.pageY+e.y)*.5;this._updateZoomParameters(r,l)}_handleTouchMoveDollyPan(t){this.enableZoom&&this._handleTouchMoveDolly(t),this.enablePan&&this._handleTouchMovePan(t)}_handleTouchMoveDollyRotate(t){this.enableZoom&&this._handleTouchMoveDolly(t),this.enableRotate&&this._handleTouchMoveRotate(t)}_addPointer(t){this._pointers.push(t.pointerId)}_removePointer(t){delete this._pointerPositions[t.pointerId];for(let e=0;eMath.min(e,Math.max(t,s)),tt=(s,t,e,i,o=1)=>{if(typeof s!="number"||Number.isNaN(s))return t;const n=Math.round(s/o)*o;return xe(n,e,i)};function Ot(s){const t=new Jt(16777215,.65);s.add(t);const e=new te(16777215,1.1);e.position.set(20,50,20),e.castShadow=!0,e.shadow.mapSize.width=2048,e.shadow.mapSize.height=2048,s.add(e);const i=new Dt(3900150,1.1,50);i.position.set(-10,10,-10),s.add(i);const o=new Dt(16743001,.9,50);o.position.set(10,-10,10),s.add(o)}function Re(s){if(Array.isArray(s)){s.forEach(t=>t.dispose());return}s.dispose()}function Lt(s){s.traverse(t=>{const e=t;e.geometry&&e.geometry.dispose(),e.material&&Re(e.material)})}function Le({config:s,onComplete:t,onProgress:e,theme:i,className:o}){const n=s.params??{},r=tt(n.gridSize,24,12,80,1),l=tt(n.majorRadius,8,4,10,.5),m=tt(n.minorRadius,3,1,5,.25),[c,st]=b.useState(r),[v,jt]=b.useState({layout:"landscape",width:0,height:0}),it=b.useRef(null),ot=b.useRef(null),W=b.useRef(!1);b.useEffect(()=>{const y=it.current;if(!y)return;const T=()=>{const L=y.clientWidth,_=y.clientHeight;if(!L||!_)return;const d=L>=_?"landscape":"portrait";let p=L,N=_;d==="landscape"?(N=Math.min(_,L*(9/16)),p=N*(16/9)):(p=Math.min(L,_/2),N=p*2),jt({layout:d,width:p,height:N})},M=new ResizeObserver(T);return M.observe(y),T(),()=>{M.disconnect()}},[]),b.useEffect(()=>{st(r),W.current=!1},[s.id,r,l,m]);const 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\ No newline at end of file diff --git a/dist/glitch/glitch_lightlane/Component.d.ts b/dist/glitch/glitch_lightlane/Component.d.ts new file mode 100644 index 0000000..b416453 --- /dev/null +++ b/dist/glitch/glitch_lightlane/Component.d.ts @@ -0,0 +1,14 @@ +import { type GlitchComponentProps } from './types'; +type ComponentDevUiOverrides = { + showNumericDiagnostics?: boolean; + compactNumericDiagnostics?: boolean; + onOpenHarness?: () => void; + onSetParam?: (name: 'complexity' | 'speedup', value: number) => void; + maxComplexity?: number; + maxSpeedup?: number; +}; +type ComponentProps = GlitchComponentProps & { + devUi?: ComponentDevUiOverrides; +}; +export default function Component(props: ComponentProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/DiophantineVectors.d.ts b/dist/glitch/glitch_lightlane/components/DiophantineVectors.d.ts new file mode 100644 index 0000000..c58efa8 --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/DiophantineVectors.d.ts @@ -0,0 +1,10 @@ +interface DiophantineVectorsProps { + complexity: number; + lightlanes?: boolean; + radius?: number; + distance?: number; + allSectors?: boolean; + cumulative?: boolean; +} +export declare function DiophantineVectors({ complexity, lightlanes, radius, distance, allSectors, cumulative }: DiophantineVectorsProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts b/dist/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts new file mode 100644 index 0000000..b2a1b67 --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts @@ -0,0 +1,22 @@ +import type { GlitchHostBridge } from '../types'; +interface FanoSweepPanelProps { + radius: number; + distance: number; + chandraDistance: number; + allSectors: boolean; + cumulative: boolean; + theta: number; + phi: number; + orbitSpeed: number; + thetaDrift: number; + thetaJitter: number; + phiJitter: number; + K: number; + speedup: number; + usePoisson: boolean; + bottomInset?: number; + onBack?: () => void; + host?: GlitchHostBridge; +} +export declare function FanoSweepPanel(props: FanoSweepPanelProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/OrbitingObject.d.ts b/dist/glitch/glitch_lightlane/components/OrbitingObject.d.ts new file mode 100644 index 0000000..8190e96 --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/OrbitingObject.d.ts @@ -0,0 +1,12 @@ +import { type MutableRefObject } from 'react'; +interface OrbitingObjectProps { + radius: number; + theta: number; + phi: number; + orbitTime: MutableRefObject; + simTime?: MutableRefObject; + thetaDrift?: number; + paused?: boolean; +} +export declare function OrbitingObject({ radius, theta, phi, orbitTime, simTime, thetaDrift, paused }: OrbitingObjectProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/PoissonShell.d.ts b/dist/glitch/glitch_lightlane/components/PoissonShell.d.ts new file mode 100644 index 0000000..002434d --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/PoissonShell.d.ts @@ -0,0 +1,3 @@ +export declare function PoissonShell({ radius }: { + radius: number; +}): import("react/jsx-runtime").JSX.Element; diff --git a/dist/glitch/glitch_lightlane/components/PulsingSphere.d.ts b/dist/glitch/glitch_lightlane/components/PulsingSphere.d.ts new file mode 100644 index 0000000..6673eb6 --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/PulsingSphere.d.ts @@ -0,0 +1,6 @@ +interface PulsingSphereProps { + radius: number; + paused?: boolean; +} +export declare function PulsingSphere({ radius, paused }: PulsingSphereProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/SamplingSystem.d.ts b/dist/glitch/glitch_lightlane/components/SamplingSystem.d.ts new file mode 100644 index 0000000..ea738ce --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/SamplingSystem.d.ts @@ -0,0 +1,29 @@ +import type { GlitchHostBridge, SceneViewMode } from '../types'; +interface SamplingSystemProps { + complexity: number; + radius: number; + distance: number; + theta: number; + phi: number; + observationMode: 'orbit' | 'randomSphere'; + allSectors: boolean; + cumulative: boolean; + K: number; + orbitRadius: number; + orbitVelocity: number; + thetaDrift: number; + thetaJitter: number; + phiJitter: number; + usePoisson: boolean; + speedup: number; + paused: boolean; + sceneView: SceneViewMode; + bottomInset?: number; + showNumericDiagnostics?: boolean; + compactNumericDiagnostics?: boolean; + host?: GlitchHostBridge; + centerDistribution?: boolean; + hideFlyingBars?: boolean; +} +export declare function SamplingSystem({ complexity, radius, distance, theta, phi, observationMode, allSectors, cumulative, K, orbitRadius, orbitVelocity, thetaDrift, thetaJitter, phiJitter, usePoisson, speedup, paused, sceneView, bottomInset, showNumericDiagnostics, compactNumericDiagnostics, host, centerDistribution, hideFlyingBars }: SamplingSystemProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/TargetDisc.d.ts b/dist/glitch/glitch_lightlane/components/TargetDisc.d.ts new file mode 100644 index 0000000..4a95429 --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/TargetDisc.d.ts @@ -0,0 +1,6 @@ +interface TargetDiscProps { + radius: number; + distance: number; +} +export declare function TargetDisc({ radius, distance }: TargetDiscProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/components/VectorArrow.d.ts b/dist/glitch/glitch_lightlane/components/VectorArrow.d.ts new file mode 100644 index 0000000..349ed2a --- /dev/null +++ b/dist/glitch/glitch_lightlane/components/VectorArrow.d.ts @@ -0,0 +1,7 @@ +interface VectorArrowProps { + vector: [number, number, number]; + origin?: [number, number, number]; + color?: string; +} +export declare function VectorArrow({ vector, origin, color }: VectorArrowProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/glitch/glitch_lightlane/dev.d.ts b/dist/glitch/glitch_lightlane/dev.d.ts new file mode 100644 index 0000000..2c068e0 --- /dev/null +++ b/dist/glitch/glitch_lightlane/dev.d.ts @@ -0,0 +1 @@ +import './dev-theme.css'; diff --git a/dist/glitch/glitch_lightlane/devHostBridge.d.ts b/dist/glitch/glitch_lightlane/devHostBridge.d.ts new file mode 100644 index 0000000..3fba17e --- /dev/null +++ b/dist/glitch/glitch_lightlane/devHostBridge.d.ts @@ -0,0 +1,8 @@ +import type { GlitchHostBridge } from './types'; +export type DevHostBridgeOptions = { + isMuted?: () => boolean; + onSound?: (id: string, payload?: Record) => void; + onEmit?: (type: string, payload?: unknown) => void; +}; +export declare function createDevHostBridge(options?: DevHostBridgeOptions): GlitchHostBridge; +export declare function attachWindowSoundBridge(host: GlitchHostBridge): () => void; diff --git a/dist/glitch/glitch_lightlane/glitch.manifest.json b/dist/glitch/glitch_lightlane/glitch.manifest.json new file mode 100644 index 0000000..c4fb622 --- /dev/null +++ b/dist/glitch/glitch_lightlane/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "lightlane", + "displayName": "Lightlane Challenge", + "version": "0.1.0", + "folderName": "glitch_lightlane", + "packageName": "@nommo/lightlane", + "entry": "dist/lightlane.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "reference", + "3d" + ] +} diff --git a/dist/glitch/glitch_lightlane/hostBridge.d.ts b/dist/glitch/glitch_lightlane/hostBridge.d.ts new file mode 100644 index 0000000..fa85f46 --- /dev/null +++ b/dist/glitch/glitch_lightlane/hostBridge.d.ts @@ -0,0 +1,17 @@ +import type { GlitchHostBridge } from './types'; +export declare const HOST_SOUND_EVENT = "glitch:play-sound"; +export declare const HOST_STOP_SOUND_EVENT = "glitch:stop-sound"; +export declare const HOST_EMIT_PREFIX = "glitch:host:"; +export declare const SOUND_IDS: { + readonly click: "ui.button_click"; + readonly hover: "ui.button_hover"; + readonly computeStart: "machine.compute_start"; + readonly computeStep: "machine.compute_step"; + readonly computeDone: "machine.compute_done"; + readonly verdictStable: "machine.verdict_stable"; + readonly verdictAlert: "machine.verdict_alert"; +}; +export type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS]; +export declare function safePlaySound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeStopSound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown): void; diff --git a/dist/glitch/glitch_lightlane/index.d.ts b/dist/glitch/glitch_lightlane/index.d.ts new file mode 100644 index 0000000..50f28d5 --- /dev/null +++ b/dist/glitch/glitch_lightlane/index.d.ts @@ -0,0 +1,5 @@ +import Component from './Component'; +import { type GlitchComponentMetadata } from './types'; +export default Component; +export declare const metadata: GlitchComponentMetadata; +export type { GlitchComponentProps, GlitchComponentConfig, GlitchComponentResult, GlitchHostBridge } from './types'; diff --git a/dist/glitch/glitch_lightlane/lightlane.js b/dist/glitch/glitch_lightlane/lightlane.js new file mode 100644 index 0000000..030f745 --- /dev/null +++ b/dist/glitch/glitch_lightlane/lightlane.js @@ -0,0 +1,2805 @@ +import { jsx as n, jsxs as i, Fragment as Fe } from "react/jsx-runtime"; +import { useMemo as he, useState as $, useRef as Z, useEffect as de } from "react"; +import { useFrame as Qe } from "@react-three/fiber"; +import { Html as De, Grid as At } from "@react-three/drei"; +import * as Ye from "three"; +import { Color as Dt } from "three"; +function Nt({ vector: e, origin: t = [0, 0, 0], color: o = "#facc15" }) { + const { dir: r, len: l, position: a } = he(() => { + const c = new Ye.Vector3(...t), s = new Ye.Vector3(...e), d = c.distanceTo(s); + return { dir: s.clone().sub(c).normalize(), len: d, position: c }; + }, [e, t]), h = he(() => new Ye.ArrowHelper(r, a, l, o, 0.2 * Math.min(l, 1) + 0.1, 0.1 * Math.min(l, 1) + 0.05), [r, l, a, o]); + return /* @__PURE__ */ n("primitive", { object: h }); +} +function _t(e, t = !1) { + const o = []; + for (let r = 0; r <= e; r++) + for (let l = 0; l <= e - r; l++) { + const a = e - r - l; + if (a >= 0) + if (!t) + o.push([r, l, a]); + else { + const h = r === 0 ? [1] : [1, -1], c = l === 0 ? [1] : [1, -1], s = a === 0 ? [1] : [1, -1]; + for (const d of h) + for (const m of c) + for (const u of s) + o.push([r * d, l * m, a * u]); + } + } + return o; +} +function Ht({ vector: e, radius: t, distance: o, color: r }) { + const { position: l, quaternion: a } = he(() => { + const h = new Ye.Vector3(...e).normalize(), c = new Ye.Vector3(0, 1, 0), s = new Ye.Quaternion().setFromUnitVectors(c, h); + return { position: h.clone().multiplyScalar(o / 2), quaternion: s }; + }, [e, o]); + return /* @__PURE__ */ i("mesh", { position: l, quaternion: a, children: [ + /* @__PURE__ */ n("cylinderGeometry", { args: [t, t, o, 32] }), + /* @__PURE__ */ n("meshStandardMaterial", { color: r, opacity: 0.5, transparent: !0 }) + ] }); +} +function Wt({ complexity: e, lightlanes: t = !1, radius: o = 0.5, distance: r = 5, allSectors: l = !1, cumulative: a = !1 }) { + const h = he(() => { + const s = [], d = a ? 1 : e, m = e; + for (let u = d; u <= m; u++) { + const x = _t(u, l); + for (const y of x) + s.push({ vec: y, c: u }); + } + return s; + }, [e, l, a]), c = (s) => { + const d = a ? Math.max(e, 1) : e; + return `hsl(${270 * (1 - (d > 1 ? (s - 1) / (d - 1) : 1))}, 100%, 50%)`; + }; + return /* @__PURE__ */ n("group", { children: h.map((s, d) => { + const m = a ? c(s.c) : t ? "#ff33c5" : "#4ade80"; + return t ? /* @__PURE__ */ n( + Ht, + { + vector: s.vec, + radius: o, + distance: r, + color: m + }, + `cyl-${d}-${s.vec.join(",")}-${s.c}` + ) : /* @__PURE__ */ n( + Nt, + { + vector: s.vec, + color: m + }, + `vec-${d}-${s.vec.join(",")}-${s.c}` + ); + }) }); +} +const Vt = "glitch:play-sound", jt = "glitch:stop-sound", we = { + click: "ui.button_click", + hover: "ui.button_hover", + computeStart: "machine.compute_start", + computeStep: "machine.compute_step", + computeDone: "machine.compute_done" +}; +function Ct(e, t) { + typeof window > "u" || window.dispatchEvent(new CustomEvent(e, { detail: t })); +} +function Ce(e, t, o) { + try { + if (e?.playSound) { + e.playSound(t, o); + return; + } + } catch { + } + Ct(Vt, { id: t, payload: o }); +} +function Yt(e, t, o) { + try { + if (e?.stopSound) { + e.stopSound(t, o); + return; + } + } catch { + } + Ct(jt, { id: t, payload: o }); +} +const Ue = 1e-12; +function ut(e = 123456789) { + let t = e >>> 0; + return function() { + t |= 0, t = t + 1831565813 | 0; + let r = Math.imul(t ^ t >>> 15, 1 | t); + return r = r + Math.imul(r ^ r >>> 7, 61 | r) ^ r, ((r ^ r >>> 14) >>> 0) / 4294967296; + }; +} +function Ut(e, t = Math.random) { + if (!Number.isFinite(e) || e <= 0) return 0; + if (e < 30) { + const h = Math.exp(-e); + let c = 0, s = 1; + do + c++, s *= t(); + while (s > h); + return c - 1; + } + const o = Math.max(1e-12, t()), r = t(), l = Math.sqrt(-2 * Math.log(o)) * Math.cos(2 * Math.PI * r), a = e + Math.sqrt(e) * l; + return Math.max(0, Math.round(a)); +} +function st(e) { + return [e[0] ?? e.x, e[1] ?? e.y, e[2] ?? e.z]; +} +function Gt(e, t, o) { + return Math.sqrt(e * e + t * t + o * o); +} +function kt(e) { + const t = 2 * Math.PI; + let o = e % t; + return o < 0 && (o += t), o; +} +function Jt(e) { + const t = 2 * e() - 1, o = 2 * Math.PI * e(); + return { + theta: Math.acos(Math.max(-1, Math.min(1, t))), + phi: o + }; +} +function mt(e) { + const t = 2 * Math.PI; + let o = e % t; + return o < 0 && (o += t), o > Math.PI && (o = t - o), o; +} +function Mt(e = Math.random) { + const t = Math.max(1e-12, e()), o = e(); + return Math.sqrt(-2 * Math.log(t)) * Math.cos(2 * Math.PI * o); +} +function qt(e, t, o) { + const r = Math.sin(t); + return [ + e * r * Math.cos(o), + e * Math.cos(t), + e * r * Math.sin(o) + ]; +} +function Xt(e, t = !1, o = !1) { + const r = [], l = o ? 1 : e, a = e; + for (let h = l; h <= a; h++) + for (let c = 0; c <= h; c++) + for (let s = 0; s <= h - c; s++) { + const d = h - c - s; + if (!t) { + r.push([c, s, d]); + continue; + } + const m = c === 0 ? [1] : [1, -1], u = s === 0 ? [1] : [1, -1], x = d === 0 ? [1] : [1, -1]; + for (const y of m) + for (const B of u) + for (const F of x) + r.push([c * y, s * B, d * F]); + } + return r; +} +function wt({ + D: e, + complexity: t, + allSectors: o = !1, + cumulative: r = !1 +}) { + if (!Number.isFinite(e) || e <= 0) return []; + if (!Number.isInteger(t) || t < 1) return []; + const l = Xt(t, o, r), a = []; + for (let h = 0; h < l.length; h++) { + const [c, s, d] = l[h], m = Gt(c, s, d); + m <= Ue || a.push([e * c / m, e * s / m, e * d / m]); + } + return a; +} +function Kt(e, t, o) { + if (!e || e.length === 0 || !Number.isFinite(o) || o <= 0) return 0; + const [r, l, a] = st(t), h = o * o; + let c = 0; + for (let s = 0; s < e.length; s++) { + const [d, m, u] = st(e[s]), x = d * d + m * m + u * u; + if (x <= Ue) continue; + let y = (r * d + l * m + a * u) / x; + y < 0 && (y = 0), y > 1 && (y = 1); + const B = y * d, F = y * m, R = y * u, C = r - B, j = l - F, v = a - R; + C * C + j * j + v * v < h && c++; + } + return c; +} +function Qt(e, t, o, r) { + if (!e || e.length === 0 || !Number.isFinite(t) || t <= 0 || !Number.isFinite(r) || r <= 0) return 0; + const [l, a, h] = st(o), s = t * t - 0.5 * r * r; + let d = 0; + for (let m = 0; m < e.length; m++) { + const [u, x, y] = st(e[m]); + l * u + a * x + h * y > s && d++; + } + return d; +} +function Bt({ D: e, lane_radius: t }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(t) || t <= 0) return 0; + const o = t * t / (4 * e * e); + return o <= 0 ? 0 : o > 1 ? 1 : o; +} +function Zt({ D: e, lane_radius: t, lane_length: o }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(t) || t <= 0 || !Number.isFinite(o) || o <= 0) return 0; + if (o >= e - Ue) + return Bt({ D: e, lane_radius: t }); + const r = t, l = o, a = e - l; + if (r <= a) return 0; + if (r >= e + l) return 1; + const h = Math.sqrt(Math.max(0, e * e - l * l)); + let c; + return r < h ? c = (e * e + l * l - r * r) / (2 * e * l) : r < e ? c = Math.sqrt(Math.max(0, 1 - r * r / (e * e))) : c = -1, Number.isFinite(c) ? (c < -1 && (c = -1), c > 1 && (c = 1), (1 - c) / 2) : 0; +} +function en({ flux: e, D: t, lane_radius: o, dt: r }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(r) || r <= 0) return 0; + const l = Bt({ D: t, lane_radius: o }); + return e * l * r; +} +function tn({ flux: e, D: t, lane_radius: o, lane_length: r, dt: l }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(l) || l <= 0) return 0; + const a = Zt({ D: t, lane_radius: o, lane_length: r }); + return e * a * l; +} +function Et({ + flux: e, + D: t, + lane_radius: o, + dt: r, + hitTestModel: l = "shell", + lane_length: a +}) { + return l === "segment" ? tn({ flux: e, D: t, lane_radius: o, lane_length: a, dt: r }) : en({ flux: e, D: t, lane_radius: o, dt: r }); +} +function nn(e) { + if (!e || typeof e != "object") + throw new Error("createSamplingSimulation: config object is required."); + const t = e.lane_radius ?? e.radius, o = e.D, r = e.complexity, l = e.flux, a = e.bin_size ?? 1, h = e.sub_bin_sampling ?? 4, c = e.thetaDrift ?? e.theta_drift ?? 0, s = e.thetaJitter ?? e.theta_jitter ?? 0, d = e.phiJitter ?? e.phi_jitter ?? 0, m = e.laneLength ?? e.lane_length ?? e.distance ?? o, u = e.hitTestModel ?? e.hit_test_model ?? "shell", x = e.observationMode ?? e.observation_mode ?? "orbit"; + if (!Number.isFinite(o) || o <= 0) + throw new Error("createSamplingSimulation: D must be a positive number."); + if (!Number.isFinite(t) || t <= 0) + throw new Error("createSamplingSimulation: lane_radius (or radius) must be a positive number."); + if (!Number.isInteger(r) || r < 1) + throw new Error("createSamplingSimulation: complexity must be an integer >= 1."); + if (!Number.isFinite(l) || l < 0) + throw new Error("createSamplingSimulation: flux must be a finite number >= 0."); + if (!Number.isFinite(a) || a <= 0) + throw new Error("createSamplingSimulation: bin_size must be a positive number."); + if (!Number.isInteger(h) || h < 1) + throw new Error("createSamplingSimulation: sub_bin_sampling must be an integer >= 1."); + if (!Number.isFinite(c)) + throw new Error("createSamplingSimulation: thetaDrift must be finite."); + if (!Number.isFinite(s) || s < 0) + throw new Error("createSamplingSimulation: thetaJitter must be a finite number >= 0."); + if (!Number.isFinite(d) || d < 0) + throw new Error("createSamplingSimulation: phiJitter must be a finite number >= 0."); + if (!Number.isFinite(m) || m <= 0) + throw new Error("createSamplingSimulation: laneLength/lane_length/distance must be a positive number."); + if (u !== "shell" && u !== "segment") + throw new Error('createSamplingSimulation: hitTestModel must be "shell" or "segment".'); + if (x !== "orbit" && x !== "randomSphere") + throw new Error('createSamplingSimulation: observationMode must be "orbit" or "randomSphere".'); + return { + D: o, + lane_radius: t, + complexity: r, + flux: l, + bin_size: a, + sub_bin_sampling: h, + theta: mt(e.theta ?? Math.PI / 2), + phi: kt(e.phi ?? 0), + velocity: e.velocity ?? 0, + thetaDrift: c, + thetaJitter: s, + phiJitter: d, + lane_length: m, + hitTestModel: u, + observationMode: x, + allSectors: !!e.allSectors, + cumulative: !!e.cumulative, + usePoisson: e.usePoisson !== !1, + seed: Number.isFinite(e.seed) ? e.seed : 1 + }; +} +function It(e) { + const t = nn(e), o = wt(t), r = t.hitTestModel === "segment" ? wt({ ...t, D: t.lane_length }) : o, l = ut(t.seed), a = ut(t.seed + 1), h = ut(t.seed + 2), c = t.bin_size / t.sub_bin_sampling, s = Et({ + flux: t.flux, + D: t.D, + lane_radius: t.lane_radius, + dt: c, + hitTestModel: t.hitTestModel, + lane_length: t.lane_length + }); + let d = 0, m = 0, u = t.phi, x = t.theta, y = 0, B = 0, F = 0, R = 0, C = 0, j = 0, v = 0; + function L(k, A) { + return t.usePoisson ? Ut(k, A) : k; + } + function O(k = x, A = u) { + return qt(t.D, k, A); + } + function J() { + let k, A; + if (t.observationMode === "randomSphere") { + const P = Jt(h); + k = P.theta, A = P.phi; + } else + k = mt( + x + (t.thetaJitter > 0 ? t.thetaJitter * Mt(h) : 0) + ), A = kt( + u + (t.phiJitter > 0 ? t.phiJitter * Mt(h) : 0) + ); + const ee = O(k, A), z = t.hitTestModel === "segment" ? Kt(r, ee, t.lane_radius) : Qt(o, t.D, ee, t.lane_radius); + j = z; + const D = o.length, N = D > 0 ? z * t.flux * c / D : 0; + return B += L(N, l), F += L(s, a), R += N, v += z, C++, { + laneCount: z, + satPos: ee, + lambdaLightlaneSubBin: N, + phase: A, + theta: k + }; + } + function _() { + const k = C > 0 ? C * c : t.bin_size, A = s * t.sub_bin_sampling, D = { + time: y, + bin_size: k, + lightlane: B, + isotropic: F, + lambdaIsotropic: C > 0 ? s * C : A, + overlaps: j, + overlapsMean: C > 0 ? v / C : 0, + subBins: C, + phase: u, + theta: x, + lambdaLightlaneExpected: R + }; + return B = 0, F = 0, R = 0, v = 0, C = 0, D; + } + return { + config: { ...t }, + getLaneCount() { + return o.length; + }, + getState() { + return { + elapsed: y, + phase: u, + theta: x, + timeInBin: d, + timeInSubBin: m, + accumulatedLightlane: B, + accumulatedIsotropic: F, + expectedLightlaneThisBin: R, + processedSubBinsInCurrentBin: C, + lastLaneCount: j, + laneCount: o.length + }; + }, + reset() { + d = 0, m = 0, u = t.phi, x = t.theta, y = 0, B = 0, F = 0, R = 0, C = 0, j = 0, v = 0; + }, + flushPartialBin() { + if (C <= 0) return null; + const k = _(); + return d = 0, m = 0, k; + }, + simulate(k) { + if (!Number.isFinite(k) || k <= 0) + return { + bins: [], + lastLaneCount: j, + subBinEvents: 0, + elapsed: y + }; + let A = k, ee = 0; + const z = []; + for (; A > Ue; ) { + const D = c - m, N = t.bin_size - d, P = Math.min(A, D, N); + u += t.velocity * P, x = mt(x + t.thetaDrift * P), y += P, m += P, d += P, A -= P, m >= c - Ue && (m = 0, J(), ee++), d >= t.bin_size - Ue && (d = 0, z.push(_())); + } + return { + bins: z, + lastLaneCount: j, + subBinEvents: ee, + elapsed: y + }; + } + }; +} +function Ft(e, t) { + const o = e.n + 1, r = t - e.mean, l = e.mean + r / o, a = e.m2 + r * (t - l); + return { n: o, mean: l, m2: a }; +} +function Pt() { + return { n: 0, mean: 0, m2: 0 }; +} +function on({ + complexity: e, + samplesPerPoint: t, + runsPerPoint: o, + binSize: r, + subBinSampling: l, + props: a, + observationMode: h, + seed: c +}) { + let s = Pt(), d = Pt(), m = 0; + for (let F = 0; F < o; F++) { + const R = It({ + D: a.chandraDistance, + theta: a.theta, + phi: a.phi, + observationMode: h, + velocity: a.orbitSpeed, + thetaDrift: a.thetaDrift, + thetaJitter: a.thetaJitter, + phiJitter: a.phiJitter, + bin_size: r, + complexity: e, + sub_bin_sampling: l, + flux: a.K, + lane_radius: a.radius, + distance: a.distance, + hitTestModel: "segment", + allSectors: a.allSectors, + cumulative: a.cumulative, + usePoisson: a.usePoisson, + seed: c + F * 7919 + }); + F === 0 && (m = R.getLaneCount()); + for (let C = 0; C < t; C++) { + const { bins: j } = R.simulate(r), v = j[0]; + v && (s = Ft(s, v.lightlane), d = Ft(d, v.isotropic)); + } + } + const u = s.n > 1 ? s.m2 / (s.n - 1) : 0, x = d.n > 1 ? d.m2 / (d.n - 1) : 0, y = s.mean > 0 ? u / s.mean : 0, B = d.mean > 0 ? x / d.mean : 0; + return { + complexity: e, + laneCount: m, + meanBlue: s.mean, + meanYellow: d.mean, + fanoBlue: y, + fanoYellow: B, + fanoExcess: Math.max(0, y - B) + }; +} +function rn(e, t = 1) { + const o = e.filter((u) => u.complexity >= t && u.complexity > 1 && u.fanoExcess > 1e-6); + if (o.length < 3) return null; + let r = 0, l = 0, a = 0, h = 0; + const c = o.length; + for (const u of o) { + const x = Math.log(u.laneCount), y = Math.log(u.fanoExcess); + r += x, l += y, a += x * x, h += x * y; + } + const s = c * a - r * r; + if (Math.abs(s) < 1e-12) return null; + const d = (c * h - r * l) / s, m = (l - d * r) / c; + return { + A: Math.exp(m), + alpha: -d, + predictFanoExcessFromLaneCount(u) { + return Math.exp(m + d * Math.log(Math.max(1, u))); + } + }; +} +function an(e, t = 1) { + const o = e.filter((c) => c.complexity >= t && c.complexity > 1 && c.fanoExcess > 1e-6); + if (o.length < 4) return null; + const r = Math.min(...o.map((c) => c.fanoExcess)), l = Math.max(0, r * 0.98); + let a = null; + const h = 80; + for (let c = 0; c <= h; c++) { + const s = c / h * l, d = o.map((O) => ({ x: O.laneCount, y: O.fanoExcess - s })).filter((O) => O.y > 1e-9); + if (d.length < 3) continue; + let m = 0, u = 0, x = 0, y = 0; + const B = d.length; + for (const O of d) { + const J = Math.log(O.x), _ = Math.log(O.y); + m += J, u += _, x += J * J, y += J * _; + } + const F = B * x - m * m; + if (Math.abs(F) < 1e-12) continue; + const R = (B * y - m * u) / F, C = (u - R * m) / B, j = Math.exp(C), v = -R; + if (!(j > 0) || !(v > 0)) continue; + let L = 0; + for (const O of o) { + const J = s + j * Math.pow(Math.max(1, O.laneCount), -v), _ = Math.log(Math.max(1e-9, O.fanoExcess)) - Math.log(Math.max(1e-9, J)); + L += _ * _; + } + (!a || L < a.score) && (a = { A: j, alpha: v, B: s, score: L }); + } + return a ? { + A: a.A, + alpha: a.alpha, + B: a.B, + score: a.score, + predictFanoExcessFromLaneCount(c) { + return a.B + a.A * Math.pow(Math.max(1, c), -a.alpha); + } + } : null; +} +function sn(e) { + const t = e.filter((u) => u.x > 0 && u.y > 0); + if (t.length < 3) return null; + let o = 0, r = 0, l = 0, a = 0; + const h = t.length; + for (const u of t) { + const x = Math.log(u.x), y = Math.log(u.y); + o += x, r += y, l += x * x, a += x * y; + } + const c = h * l - o * o; + if (Math.abs(c) < 1e-12) return null; + const s = (h * a - o * r) / c, d = (r - s * o) / h, m = Math.exp(d); + return { + A: m, + beta: s, + predict(u) { + return m * Math.pow(Math.max(1e-9, u), s); + }, + invert(u) { + return m <= 0 || Math.abs(s) < 1e-12 || u <= 0 ? null : Math.pow(u / m, 1 / s); + } + }; +} +function ln(e, t) { + if (!Number.isFinite(t) || t <= 0 || e.length === 0) return null; + const o = [...e].sort((s, d) => s.complexity - d.complexity), r = [...o].sort((s, d) => s.laneCount - d.laneCount), l = r[0], a = r[r.length - 1]; + if (t <= l.laneCount) + return { complexity: l.complexity, mode: "observed-range" }; + for (let s = 1; s < r.length; s++) { + const d = r[s - 1], m = r[s]; + if (t <= m.laneCount) { + const u = Math.max(1e-9, m.laneCount - d.laneCount), x = (t - d.laneCount) / u; + return { + complexity: d.complexity + x * (m.complexity - d.complexity), + mode: "observed-range" + }; + } + } + const c = sn(o.map((s) => ({ x: s.complexity, y: s.laneCount })))?.invert(t) ?? null; + return c && Number.isFinite(c) ? { complexity: c, mode: "extrapolated" } : { complexity: a.complexity, mode: "observed-max" }; +} +function Tt(e, t, o, r) { + return e.map((l, a) => `${a === 0 ? "M" : "L"} ${o(l.complexity)} ${r(t(l))}`).join(" "); +} +function cn(e) { + return e >= 10 ? e.toFixed(0) : e >= 2 ? e.toFixed(1) : e.toFixed(2); +} +function dn(e, t) { + const r = [ + 0.5, + 0.6, + 0.7, + 0.8, + 0.9, + 1, + 1.1, + 1.2, + 1.4, + 1.6, + 1.8, + 2, + 2.5, + 3, + 4, + 5, + 7.5, + 10 + ].filter((c) => c >= e && c <= t); + if (r.length >= 3) return r; + const l = 5, a = Math.log(e), h = Math.log(t); + return Array.from({ length: l }, (c, s) => { + const d = s / (l - 1); + return Math.exp(a + (h - a) * d); + }); +} +function pn(e) { + const [t, o] = $(40), [r, l] = $(1e3), [a, h] = $(3), [c, s] = $(1), [d, m] = $(4), [u, x] = $("randomSphere"), [y, B] = $(0.05), [F, R] = $(10), [C, j] = $(0), [v, L] = $([]), [O, J] = $(0), [_, k] = $(!1), A = Z(!1), ee = Z(-1), z = () => { + Ce(e.host, we.hover, { page: "fano" }); + }, D = (b, T) => { + Ce(e.host, we.click, { page: "fano", target: b, ...T }); + }; + de(() => { + let b = !1; + return L([]), J(0), k(!0), (async () => { + const T = []; + for (let E = 1; E <= t; E++) { + if (b) return; + const I = on({ + complexity: E, + samplesPerPoint: r, + runsPerPoint: a, + binSize: c, + subBinSampling: d, + props: e, + observationMode: u, + seed: 1e4 + E * 97 + C * 100003 + }); + T.push(I), L([...T]), J(E / t), await new Promise((ne) => setTimeout(ne, 0)); + } + b || k(!1); + })(), () => { + b = !0; + }; + }, [ + t, + r, + a, + c, + d, + u, + C, + e.radius, + e.distance, + e.chandraDistance, + e.allSectors, + e.cumulative, + e.theta, + e.phi, + e.orbitSpeed, + e.thetaDrift, + e.thetaJitter, + e.phiJitter, + e.K, + e.speedup, + e.usePoisson + ]), de(() => { + const b = A.current; + if (A.current = _, _ && !b) { + ee.current = -1, Ce(e.host, we.computeStart, { page: "fano" }); + return; + } + !_ && b && (Yt(e.host, we.computeStep, { page: "fano" }), Ce(e.host, we.computeDone, { page: "fano", points: v.length })); + }, [_, e.host, v.length]), de(() => { + if (!_) return; + const b = Math.floor(O * 10); + b <= ee.current || (ee.current = b, Ce(e.host, we.computeStep, { page: "fano", progress: O })); + }, [O, _, e.host]); + const N = he(() => rn(v, F), [v, F]), P = he(() => an(v, F), [v, F]), H = he(() => { + if (!N || N.alpha <= 0 || y <= 0) return null; + if (P && P.B >= y) + return { + targetExcess: y, + requiredLaneCount: Number.POSITIVE_INFINITY, + measuredCrossing: v.find((se) => se.fanoExcess <= y) ?? null, + complexityEstimate: null, + blockedByFloor: !0, + floorExcess: P.B + }; + const b = P ? Math.max(1e-9, y - P.B) : y, T = P ? P.A : N.A, E = P ? P.alpha : N.alpha, I = Math.pow(T / b, 1 / E); + if (!Number.isFinite(I) || I <= 0) return null; + const ne = v.find((se) => se.fanoExcess <= y) ?? null, G = ln(v, I); + return { + targetExcess: y, + requiredLaneCount: I, + measuredCrossing: ne, + complexityEstimate: G, + blockedByFloor: !1, + floorExcess: P?.B ?? 0 + }; + }, [N, P, v, y]), g = he(() => { + const E = { top: 20, right: 20, bottom: 42, left: 48 }, I = 860 - E.left - E.right, ne = 360 - E.top - E.bottom, G = Math.max(2, t), se = [ + 1, + ...v.map((Y) => Y.fanoBlue), + ...v.map((Y) => Y.fanoYellow), + ...v.map((Y) => 1 + Y.fanoExcess) + ].filter((Y) => Number.isFinite(Y) && Y > 0), ve = Math.min(...se), Re = Math.max(...se), X = Math.max(1e-3, Math.min(0.95, ve * 0.95)), Pe = Math.max(1.05, Re * 1.05), Be = Math.log(X), Je = Math.log(Pe), me = (Y) => E.left + (Y - 1) / (G - 1) * I, Ee = (Y) => { + const Ie = Math.min(Pe, Math.max(X, Y)), le = Math.log(Ie); + return E.top + ne - (le - Be) / Math.max(1e-9, Je - Be) * ne; + }, Se = dn(X, Pe); + return { width: 860, height: 360, margin: E, innerW: I, innerH: ne, xToPx: me, yToPx: Ee, yMax: Pe, yMin: X, yTicks: Se }; + }, [v, t]), ue = he( + () => v.length > 1 ? Tt(v, (b) => b.fanoBlue, g.xToPx, g.yToPx) : "", + [v, g] + ), ke = he( + () => v.length > 1 ? Tt(v, (b) => b.fanoYellow, g.xToPx, g.yToPx) : "", + [v, g] + ), q = v.at(-1) ?? null; + return /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "auto" }, children: /* @__PURE__ */ i( + "div", + { + style: { + width: "100%", + height: "100%", + display: "flex", + flexDirection: "column", + background: "radial-gradient(circle at 20% 10%, rgba(30,41,59,0.9), rgba(2,6,23,0.96))", + color: "var(--terminal-green-soft)", + padding: "16px", + paddingBottom: `${16 + (e.bottomInset ?? 0)}px`, + boxSizing: "border-box", + gap: "12px", + fontFamily: "var(--font-ui)" + }, + children: [ + /* @__PURE__ */ i("div", { style: { display: "flex", justifyContent: "space-between", alignItems: "center", gap: "12px", flexWrap: "wrap" }, children: [ + /* @__PURE__ */ i("div", { children: [ + /* @__PURE__ */ n("div", { style: { fontSize: "14px", fontWeight: 400, letterSpacing: "0.12em", textTransform: "uppercase", fontFamily: "var(--font-headline)", color: "var(--terminal-green-soft)" }, children: "Fano Sweep" }), + /* @__PURE__ */ i("div", { style: { fontSize: "11px", color: "var(--terminal-green)", marginTop: "4px" }, children: [ + "Goal: show ", + "Fano(Blue)", + " trending toward 1.0 (or toward Yellow) as complexity increases." + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", gap: "8px", flexWrap: "wrap" }, children: [ + e.onBack && /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("back-to-simulator"), e.onBack?.(); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "8px 12px", + borderRadius: "8px", + cursor: "pointer", + fontSize: "12px", + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.08em", + textTransform: "uppercase" + }, + children: "Back To Simulator" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("rerun-sweep"), j((b) => b + 1); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: _ ? "rgba(125, 255, 155, 0.14)" : "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "8px 12px", + borderRadius: "8px", + cursor: "pointer", + fontSize: "12px", + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.08em", + textTransform: "uppercase" + }, + children: _ ? "Rerun (queued)" : "Rerun Sweep" + } + ) + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", gap: "8px", flexWrap: "wrap" }, children: [ + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("preset-video-demo"), x("randomSphere"), o(60), l(1200), h(2), s(1), m(4), R(12); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "6px 10px", + borderRadius: 8, + cursor: "pointer", + fontSize: 11, + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.06em" + }, + children: "Preset: Video Demo" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("preset-robust-sweep"), x("randomSphere"), o(200), l(3e3), h(5), s(1), m(16), R(40); + }, + onPointerEnter: z, + style: { + border: "1px solid rgba(125, 255, 155, 0.32)", + background: "rgba(2,6,23,0.8)", + color: 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var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Bin Size (s)", + /* @__PURE__ */ n( + "input", + { + type: "number", + min: 0.1, + max: 20, + step: 0.1, + value: c, + onChange: (b) => s(Math.max(0.1, Math.min(20, Number(b.target.value) || 0.1))), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Sub-Bin Sampling", + /* @__PURE__ */ n( + "input", + { + type: "number", + min: 1, + max: 256, + step: 1, + value: d, + onChange: (b) => m(Math.max(1, Math.min(256, Math.round(Number(b.target.value) || 1)))), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Observation Mode", + /* @__PURE__ */ i( + "select", + { + value: u, + onChange: (b) => x(b.target.value), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" }, + children: [ + /* @__PURE__ */ n("option", { value: "randomSphere", children: "Random Sphere (recommended)" }), + /* @__PURE__ */ n("option", { value: "orbit", children: "Orbit (path-biased)" }) + ] + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: 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var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("div", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "6px" }, children: [ + "Progress", + /* @__PURE__ */ n("div", { style: { background: "rgba(7,19,11,0.9)", border: "1px solid var(--terminal-panel-border)", borderRadius: "999px", padding: "3px" }, children: /* @__PURE__ */ n( + "div", + { + style: { + height: "8px", + width: `${Math.round(O * 100)}%`, + background: "linear-gradient(90deg, var(--terminal-green-dim), var(--terminal-green-soft))", + borderRadius: "999px", + transition: "width 0.15s ease" + } + } + ) }), + /* @__PURE__ */ n("div", { style: { color: "var(--terminal-green)" }, children: _ ? `Running ${Math.round(O * 100)}%` : "Complete" }) + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", flexDirection: "column", gap: "12px", minHeight: 0, flex: 1 }, children: [ + /* @__PURE__ */ n( + "div", + { + style: { + background: "rgba(7,19,11,0.72)", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "10px", + padding: "10px", + width: "100%", + minWidth: 0, + minHeight: "min(58vh, 520px)" + }, + children: /* @__PURE__ */ i("svg", { viewBox: `0 0 ${g.width} ${g.height}`, style: { width: "100%", height: "100%" }, children: [ + /* @__PURE__ */ n("rect", { x: 0, y: 0, width: g.width, height: g.height, fill: "transparent" }), + g.yTicks.map((b, T) => { + const E = g.yToPx(b); + return /* @__PURE__ */ i("g", { children: [ + /* @__PURE__ */ n("line", { x1: g.margin.left, y1: E, x2: g.margin.left + g.innerW, y2: E, stroke: "rgba(125, 255, 155, 0.12)" }), + /* @__PURE__ */ n("text", { x: 8, y: E + 4, fill: "var(--terminal-green)", fontSize: "10", fontFamily: "var(--font-ui)", children: cn(b) }) + ] }, `ygrid-${T}`); + }), + /* @__PURE__ */ n( + "line", + { + x1: g.margin.left, + y1: g.yToPx(1), + x2: g.margin.left + g.innerW, + y2: g.yToPx(1), + stroke: 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textAnchor: "middle", children: Math.round(E) }) + ] }, `xtick-${T}`); + }), + ke && /* @__PURE__ */ n("path", { d: ke, fill: "none", stroke: "#fbbf24", strokeWidth: "2", opacity: 0.95 }), + ue && /* @__PURE__ */ n("path", { d: ue, fill: "none", stroke: "#60a5fa", strokeWidth: "2.25", opacity: 0.95 }), + N && v.length > 2 && (() => { + const b = v.filter((T) => T.complexity >= F).map((T, E) => { + const I = 1 + N.predictFanoExcessFromLaneCount(T.laneCount); + return `${E === 0 ? 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Re - ve + 1 : E, Pe = se ? 1 : Math.max(1e-9, (G - ne) / E), Be = (f) => { + if (se) { + const S = Math.round(f); + return S <= ve ? 0 : S >= Re ? X - 1 : S - ve; + } + return f < ne ? 0 : f >= G ? X - 1 : Math.floor((f - ne) / Pe); + }, Je = (f) => se ? ve + f : ne + (f + 0.5) * Pe, [me, Ee] = $(new Array(X).fill(0)), [Se, Y] = $(new Array(X).fill(0)), [Ie, le] = $(/* @__PURE__ */ new Set()), [qe, Le] = $(/* @__PURE__ */ new Set()), [Ne, ze] = $([]), $e = Z(0), _e = Z(at()), [U, Ze] = $(at()), et = Z(R), tt = Z(0); + de(() => { + Ee(new Array(X).fill(0)), Y(new Array(X).fill(0)), N.current.fill(-1), P.current.fill(-1), H.current = 0, ue(new Array(D).fill(-1)), q(new Array(D).fill(-1)), le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set()), ze([]), _e.current = at(), Ze(at()), A({ + current: 0, + total: 0, + lastCheck: 0, + overlaps: 0, + currentTheory: 0, + binOverlapsMean: 0, + currentExpectedLightlane: 0 + }); + }, [e, s, t, o, d, r, l, a, m, u, x, y, h, c, B, X]); + const nt = (f, S) => { + if (f.length === 0) return; + let w = 0, oe = 0, te = 0, fe = k.binOverlapsMean, V = k.currentExpectedLightlane, re = _e.current; + for (const ie of f) { + const ge = ie.lightlane, xe = ie.isotropic; + if (w += ge, oe = ge, te = xe, fe = ie.overlapsMean, V = ie.lambdaLightlaneExpected, re = yn(re, ge, xe), N.current[H.current] = ge, P.current[H.current] = xe, H.current++, H.current >= D) { + const Me = Math.max(10, ...N.current.filter((Q) => Q >= 0), ...P.current.filter((Q) => Q >= 0)); + K([...N.current], [...P.current], Me), N.current.fill(-1), P.current.fill(-1), H.current = 0, le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set()); + } + } + _e.current = re, A((ie) => ({ + current: oe, + total: ie.total + w, + lastCheck: Date.now(), + overlaps: S, + currentTheory: te, + binOverlapsMean: fe, + currentExpectedLightlane: V + })), Ze(re), ue([...N.current]), q([...P.current]); + }, He = Z(!1), We = Z(null), ot = (f, S) => { + f.stopPropagation(), He.current = !0, We.current = S, f.target.setPointerCapture(f.pointerId), Ce(O, we.click, { target: `${S}-periodogram`, action: "pointer-down" }); + }, rt = (f, S, w, oe) => { + if (!He.current || We.current !== S) return; + f.stopPropagation(); + const te = f.currentTarget.getBoundingClientRect(), fe = f.clientX - te.left, V = Math.floor(fe / te.width * D); + if (V >= 0 && V < D) { + const re = w[V], ie = S === "observed" ? Ie.has(V) : qe.has(V); + re >= 0 && !ie && W(V, re, S, oe); + } + }, p = (f) => { + f.stopPropagation(), He.current = !1, We.current = null; + }, M = (f, S, w, oe) => { + const te = window.innerWidth, fe = f / D * te, V = te / D, re = Math.max(2, S / oe * 80), xe = w === "observed" ? 25 : 110, Me = Be(S), Q = 20, be = te - 2 * Q, Te = Q + (Me + 0.5) / X * be; + return { startLeft: fe, startBottom: xe, barHeight: re, barWidth: V, targetLeft: Te, targetTop: 150, binIndex: Me }; + }, W = (f, S, w, oe) => { + if (S < 0) return; + const te = Date.now(); + te - tt.current >= 45 && (tt.current = te, Ce(O, we.computeStep, { target: `${w}-periodogram`, value: S })); + const { startLeft: fe, startBottom: V, barHeight: re, barWidth: ie, targetLeft: ge, targetTop: xe } = M(f, S, w, oe), Me = { + id: $e.current++, + value: S, + startLeft: fe, + startBottom: V, + barHeight: re, + barWidth: ie, + targetLeft: ge, + targetTop: xe, + color: w === "observed" ? ae.solid : ce.solid, + type: w + }; + ze((Q) => [...Q, Me]), w === "observed" ? (le((Q) => new Set(Q).add(f)), Ee((Q) => { + const be = [...Q], Te = Be(S); + return be[Te]++, be; + })) : (Le((Q) => new Set(Q).add(f)), Y((Q) => { + const be = [...Q], Te = Be(S); + return be[Te]++, be; + })); + }, K = (f, S, w) => { + const oe = [], te = [...me], fe = [...Se]; + f.forEach((V, re) => { + if (V >= 0) { + const { startLeft: ie, startBottom: ge, barHeight: xe, barWidth: Me, targetLeft: Q, targetTop: be, binIndex: Te } = M(re, V, "observed", w); + oe.push({ + id: $e.current++, + value: V, + startLeft: ie, + startBottom: ge, + barHeight: xe, + barWidth: Me, + targetLeft: Q, + targetTop: be, + color: ae.solid, + type: "observed" + }), te[Te]++; + } + }), S.forEach((V, re) => { + if (V >= 0) { + const { startLeft: ie, startBottom: ge, barHeight: xe, barWidth: Me, targetLeft: Q, targetTop: be, binIndex: Te } = M(re, V, "theory", w); + oe.push({ + id: $e.current++, + value: V, + startLeft: ie, + startBottom: ge, + barHeight: xe, + barWidth: Me, + targetLeft: Q, + targetTop: be, + color: ce.solid, + type: "theory" + }), fe[Te]++; + } + }), ze((V) => [...V, ...oe]), Ee(te), Y(fe); + }; + de(() => { + if (Ne.length > 0) { + const f = setTimeout(() => { + ze([]); + }, 1300); + return () => clearTimeout(f); + } + }, [Ne.length]); + const Ve = Z(0); + de(() => { + H.current < Ve.current && (le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set())), Ve.current = H.current; + }), de(() => { + const f = et.current; + if (et.current = R, !R || f) return; + const S = z.flushPartialBin(); + S && nt([S], S.overlaps); + }, [R, z]), Qe((f, S) => { + if (R) return; + const w = z.simulate(S * F); + w.subBinEvents > 0 && A((oe) => ({ ...oe, overlaps: w.lastLaneCount })), nt(w.bins, w.lastLaneCount); + }); + const zt = g.filter((f) => f >= 0), Rt = ke.filter((f) => f >= 0), lt = Math.max(10, Math.max(0, ...zt)), ct = Math.max(10, Math.max(0, ...Rt)), ft = Math.max(1, ...me, ...Se), gt = U.n > 1 ? U.m2Obs / (U.n - 1) : 0, dt = U.n > 1 ? U.m2Iso / (U.n - 1) : 0, Lt = U.meanIso > 0 ? U.meanObs / U.meanIso : 0, xt = dt > 0 ? gt / dt : 0, pt = U.meanObs > 0 ? gt / U.meanObs : 0, Xe = U.meanIso > 0 ? dt / U.meanIso : 0, ht = z.getLaneCount(), bt = ht > 0 && s > 0 ? ht * b / s : 0, yt = v && !L, Ke = C !== "lightlane", Oe = C !== "poisson", $t = Ne.filter((f) => f.type === "theory" && Ke || f.type === "observed" && Oe), Ot = C === "poisson" ? "Shot Noise Distribution" : C === "lightlane" ? "Shot Noise + Lightlane" : "Head to Head", je = { + background: "rgba(255,255,255,0.04)", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "6px", + padding: "6px 8px", + fontFamily: pe + }, vt = /* @__PURE__ */ i("div", { style: { + marginTop: L ? "0" : "12px", + display: "grid", + gridTemplateColumns: L ? "1fr" : "repeat(3, minmax(0, 1fr))", + gap: L ? "6px" : "8px", + fontSize: "10px", + color: Ae, + fontFamily: pe + }, children: [ + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Samples" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace" }, children: U.n }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Mean Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: Ae }, children: U.n > 0 ? Lt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Var Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: xt > 1.1 ? ae.light : ce.light }, children: U.n > 1 ? xt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Lightlane" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: ae.light }, children: U.n > 1 ? pt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Poisson" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: ce.light }, children: U.n > 1 ? Xe.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: Xe > 0 && pt / Xe > 1.05 ? ae.light : Ae }, children: U.n > 1 && Xe > 0 ? (pt / Xe).toFixed(3) : "n/a" }) + ] }) + ] }), St = /* @__PURE__ */ i("div", { style: { + marginTop: L ? "6px" : "8px", + display: L ? "grid" : "flex", + gridTemplateColumns: L ? "1fr" : void 0, + justifyContent: L ? void 0 : "center", + gap: L ? "4px" : "12px", + flexWrap: L ? void 0 : "wrap", + fontSize: "10px", + color: ye, + fontFamily: pe + }, children: [ + /* @__PURE__ */ i("span", { children: [ + "LC(now): ", + k.overlaps + ] }), + /* @__PURE__ */ i("span", { children: [ + "LC(bin avg): ", + k.binOverlapsMean.toFixed(2) + ] }), + /* @__PURE__ */ i("span", { children: [ + "LC iso target: ", + Number.isFinite(bt) ? bt.toFixed(2) : "n/a" + ] }), + /* @__PURE__ */ i("span", { children: [ + "E[Lightlane|bin]: ", + k.currentExpectedLightlane.toFixed(2) + ] }), + /* @__PURE__ */ i("span", { children: [ + "Lightlane(last): ", + typeof k.current == "number" ? Number(k.current).toFixed(2) : k.current + ] }), + /* @__PURE__ */ i("span", { children: [ + "Lanes: ", + ht + ] }), + /* @__PURE__ */ i("span", { children: [ + "Mode: ", + a === "randomSphere" ? "Random Sphere" : "Orbit" + ] }), + /* @__PURE__ */ i("span", { children: [ + "theta drift: ", + u.toFixed(3) + ] }), + /* @__PURE__ */ i("span", { children: [ + "theta jitter: ", + x.toFixed(3) + ] }), + /* @__PURE__ */ i("span", { children: [ + "phi jitter: ", + y.toFixed(3) + ] }) + ] }); + return /* @__PURE__ */ i(Fe, { children: [ + !_ && /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none" }, children: /* @__PURE__ */ n(bn, { bars: $t }) }), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", display: "flex", flexDirection: "column", justifyContent: J ? "center" : "flex-start" }, children: [ + /* @__PURE__ */ i("div", { style: { + position: "absolute", + top: "18px", + left: "20px", + right: "20px", + color: Ae, + fontSize: "12px", + fontWeight: 400, + textAlign: "center", + textTransform: "uppercase", + letterSpacing: "0.16em", + fontFamily: it + }, children: [ + Ot, + /* @__PURE__ */ i("span", { style: { fontSize: "10px", fontWeight: "normal", marginLeft: "10px", opacity: 0.8, fontFamily: pe, color: xn }, children: [ + "(λ = ", + b.toFixed(1), + ", σ = ", + T.toFixed(1), + ")" + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { + width: "100%", + padding: J ? "20px" : "60px 20px 20px 20px", + background: J ? "transparent" : "linear-gradient(to bottom, rgba(0,0,0,0.9), transparent)", + fontFamily: pe, + alignSelf: "center" + }, children: [ + /* @__PURE__ */ n("div", { style: { + position: "absolute", + left: "5px", + top: J ? "130px" : "170px", + transform: "rotate(-90deg)", + transformOrigin: "left top", + fontSize: "10px", + color: ye, + fontStyle: "italic", + whiteSpace: "nowrap", + fontFamily: pe + }, children: "← Frequency (how many)" }), + /* @__PURE__ */ n("div", { style: { + display: "flex", + height: "100px", + gap: "2px", + alignItems: "flex-end", + padding: "0 20px" + }, children: me.map((f, S) => { + const w = Se[S], oe = f / ft * 100, te = w / ft * 100; + return /* @__PURE__ */ i("div", { style: { + flex: 1, + display: "flex", + flexDirection: "column", + alignItems: "center", + position: "relative", + height: "100%", + justifyContent: "flex-end" + }, children: [ + /* @__PURE__ */ i("div", { style: { + width: "100%", + display: "flex", + justifyContent: "center", + gap: "1px", + alignItems: "flex-end", + height: "100%", + position: "relative" + }, children: [ + Ke && /* @__PURE__ */ n("div", { style: { + width: Oe ? "45%" : "92%", + height: `${te}%`, + background: `linear-gradient(to top, ${ce.solid}, ${ce.dark})`, + borderRadius: "2px 2px 0 0", + minHeight: w > 0 ? "2px" : "0", + transition: "height 0.3s ease", + boxShadow: w > 0 ? `0 0 5px ${ce.glow}` : "none", + position: "relative" + }, children: w > 0 && /* @__PURE__ */ n("div", { style: { + position: "absolute", + top: "-16px", + left: "50%", + transform: "translateX(-50%)", + fontSize: "9px", + fontWeight: "bold", + color: ce.solid, + textShadow: "0 0 3px rgba(0,0,0,0.8)" + }, children: w }) }), + Oe && /* @__PURE__ */ n("div", { style: { + width: Ke ? "45%" : "92%", + height: `${oe}%`, + background: `linear-gradient(to top, ${ae.solid}, ${ae.dark})`, + borderRadius: "2px 2px 0 0", + minHeight: f > 0 ? "2px" : "0", + transition: "height 0.3s ease", + boxShadow: f > 0 ? `0 0 5px ${ae.glow}` : "none", + position: "relative" + }, children: f > 0 && /* @__PURE__ */ n("div", { style: { + position: "absolute", + top: "-16px", + left: "50%", + transform: "translateX(-50%)", + fontSize: "9px", + fontWeight: "bold", + color: ae.solid, + textShadow: "0 0 3px rgba(0,0,0,0.8)" + }, children: f }) }) + ] }), + /* @__PURE__ */ n("div", { style: { + position: "absolute", + bottom: "-18px", + fontSize: "9px", + color: ye, + fontWeight: "bold", + fontFamily: pe + }, children: Je(S).toFixed(0) }) + ] }, S); + }) }), + /* @__PURE__ */ n("div", { style: { + textAlign: "center", + marginTop: "25px", + fontSize: "10px", + color: ye, + fontStyle: "italic", + fontFamily: pe + }, children: "Photon Count Value →" }), + /* @__PURE__ */ i("div", { style: { + display: "flex", + justifyContent: "center", + gap: "20px", + marginTop: "25px", + fontSize: "10px" + }, children: [ + Ke && /* @__PURE__ */ i("div", { style: { display: "flex", alignItems: "center", gap: "5px" }, children: [ + /* @__PURE__ */ n("div", { style: { width: "12px", height: "12px", background: ce.solid, borderRadius: "2px" } }), + /* @__PURE__ */ n("span", { style: { color: ce.solid }, children: "Theory (Poisson)" }) + ] }), + Oe && /* @__PURE__ */ i("div", { style: { display: "flex", alignItems: "center", gap: "5px" }, children: [ + /* @__PURE__ */ n("div", { style: { width: "12px", height: "12px", background: ae.solid, borderRadius: "2px" } }), + /* @__PURE__ */ n("span", { style: { color: ae.solid }, children: "Observed (Lightlanes)" }) + ] }) + ] }), + yt && vt, + yt && St + ] }) + ] }), + v && L && /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none" }, children: /* @__PURE__ */ i("div", { style: { + position: "absolute", + top: "88px", + left: "12px", + width: "min(300px, calc(100vw - 24px))", + background: "linear-gradient(to bottom, rgba(0,0,0,0.88), rgba(0,0,0,0.55))", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "10px", + padding: "10px", + boxShadow: "0 8px 24px rgba(0,0,0,0.35)", + fontFamily: pe + }, children: [ + /* @__PURE__ */ n("div", { style: { + color: Ae, + fontSize: "10px", + textTransform: "uppercase", + letterSpacing: "0.08em", + marginBottom: "8px", + fontWeight: 400, + fontFamily: it + }, children: "Diagnostics" }), + vt, + St + ] }) }), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", display: "flex", flexDirection: "column", justifyContent: "flex-end", paddingBottom: `${j}px`, boxSizing: "border-box" }, children: [ + Ke && /* @__PURE__ */ i( + "div", + { + onPointerDown: (f) => ot(f, "theory"), + onPointerMove: (f) => rt(f, "theory", ke, ct), + onPointerUp: p, + onPointerLeave: p, + style: { + width: "100%", + height: "100px", + background: `linear-gradient(to top, ${ce.panel}, transparent)`, + display: "flex", + alignItems: "flex-end", + padding: Oe ? "0 20px 5px 20px" : "0 20px 20px 20px", + gap: "2px", + position: "relative", + borderBottom: Oe ? "1px solid #555" : "none", + pointerEvents: "auto", + touchAction: "none", + cursor: "crosshair" + }, + children: [ + /* @__PURE__ */ n("div", { style: { position: "absolute", top: "10px", left: "20px", color: ce.solid, fontSize: "10px", fontWeight: 400, pointerEvents: "none", fontFamily: it, letterSpacing: "0.08em" }, children: "THEORY (Poisson) - Swipe or click to count" }), + ke.map((f, S) => { + const w = qe.has(S); + return /* @__PURE__ */ n( + "div", + { + className: f >= 0 && !w ? "clickable-bar" : "", + style: { + flex: 1, + height: f >= 0 && !w ? `${f / ct * 100}%` : "0", + background: f === 0 ? "rgba(255,255,255,0.1)" : ce.solid, + color: ce.solid, + minHeight: f >= 0 && !w ? "1px" : "0", + transition: "all 0.3s ease", + opacity: w ? 0 : 0.8, + borderRadius: "2px 2px 0 0", + transform: w ? "scale(0)" : "scale(1)", + pointerEvents: "none" + } + }, + S + ); + }), + /* @__PURE__ */ i("div", { style: { position: "absolute", bottom: "10px", right: "80px", color: Ae, fontFamily: pe, fontSize: "10px", pointerEvents: "none" }, children: [ + "Max: ", + ct + ] }) + ] + } + ), + Oe && /* @__PURE__ */ i( + "div", + { + onPointerDown: (f) => ot(f, "observed"), + onPointerMove: (f) => rt(f, "observed", g, lt), + onPointerUp: p, + onPointerLeave: p, + style: { + width: "100%", + height: "100px", + background: "linear-gradient(to top, rgba(0,0,0,0.8), transparent)", + display: "flex", + alignItems: "flex-end", + padding: "0 20px 20px 20px", + gap: "2px", + position: "relative", + pointerEvents: "auto", + touchAction: "none", + cursor: "crosshair" + }, + children: [ + /* @__PURE__ */ n("div", { style: { position: "absolute", top: "10px", left: "20px", color: ae.solid, fontSize: "10px", fontWeight: 400, pointerEvents: "none", fontFamily: it, letterSpacing: "0.08em" }, children: "OBSERVED (Lightlanes) - Swipe or click to count" }), + g.map((f, S) => { + const w = Ie.has(S); + return /* @__PURE__ */ n( + "div", + { + className: f >= 0 && !w ? "clickable-bar" : "", + style: { + flex: 1, + height: f >= 0 && !w ? `${f / lt * 100}%` : "0", + background: f === 0 ? "rgba(255,255,255,0.1)" : f > 0 ? ae.solid : "transparent", + color: ae.solid, + minHeight: f >= 0 && !w ? "2px" : "0", + transition: "all 0.3s ease", + borderTop: f >= 0 && !w ? `2px solid ${ae.light}` : "none", + opacity: w ? 0 : 0.8, + position: "relative", + borderRadius: "2px 2px 0 0", + transform: w ? "scale(0)" : "scale(1)", + pointerEvents: "none" + }, + children: (S + 1) % 5 === 0 && !w && /* @__PURE__ */ n("div", { style: { + position: "absolute", + bottom: "-20px", + left: "50%", + transform: "translateX(-50%)", + width: "1px", + height: "5px", + background: "#fff", + opacity: 0.5, + pointerEvents: "none" + }, children: /* @__PURE__ */ n("span", { style: { position: "absolute", top: "5px", left: "-50%", fontSize: "10px", color: ye, fontFamily: pe }, children: S + 1 }) }) + }, + S + ); + }), + /* @__PURE__ */ i("div", { style: { position: "absolute", bottom: "10px", right: "80px", color: Ae, fontFamily: pe, fontSize: "10px" }, children: [ + "Max: ", + lt + ] }) + ] + } + ) + ] }) + ] }); +} +const Sn = { + complexity: 1, + radius: 2, + distance: 5, + chandraDistance: 6, + showAxes: !1, + // Cleaner look for challenge + lightlanes: !0, + // Always show lightlanes + allSectors: !0, + cumulative: !1, + phi: 0, + theta: Math.PI / 2, + observationMode: "orbit", + orbitSpeed: 0.2, + thetaDrift: 0, + thetaJitter: 0, + phiJitter: 0, + speedup: 1, + K: 1e3, + usePoisson: !0, + sceneView: "both", + hideScenePresentation: !1, + hideFlyingBars: !1, + hideDataBoxes: !1 +}; +function kn(e) { + const t = e.host, o = e.devUi?.compactNumericDiagnostics ?? !1, r = e.devUi?.maxComplexity ?? 20, l = e.devUi?.maxSpeedup ?? 240, a = 74, h = 20, c = e.config?.params || {}, { + complexity: s, + radius: d, + distance: m, + chandraDistance: u, + showAxes: x, + lightlanes: y, + allSectors: B, + cumulative: F, + phi: R, + theta: C, + observationMode: j, + orbitSpeed: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + speedup: _, + K: k, + usePoisson: A, + sceneView: ee, + hideScenePresentation: z, + hideFlyingBars: D, + hideDataBoxes: N + } = { ...Sn, ...c }, P = !N, H = Z(0), g = Z(0), [ue, ke] = $(!1), [q, b] = $("scene"), [T, E] = $(ee), [I, ne] = $(s), [G, se] = $(_), [ve, Re] = $(null), X = Z(null); + de(() => { + E(ee); + }, [ee]), de(() => { + ne(s); + }, [s]), de(() => { + se(_); + }, [_]); + const Pe = G > 20, Be = T !== "lightlane", Je = T !== "poisson", me = q === "scene" && T !== "poisson", Ee = (p) => p === "poisson" ? "Poisson" : p === "lightlane" ? "Lightlane" : "Both", Se = () => { + Ce(t, we.hover, { page: q, sceneView: T }); + }, Y = (p, M) => { + Ce(t, we.click, { page: q, sceneView: T, target: p, ...M }); + }, Ie = (p) => { + Re(p), X.current && clearTimeout(X.current), X.current = setTimeout(() => { + Re(null), X.current = null; + }, 1500); + }, le = (p) => { + const M = Array.from({ length: h }, (W, K) => K === 0 ? 1 : K === h - 1 ? p : Math.round(1 + (p - 1) * K / (h - 1))); + return Array.from(new Set(M)).sort((W, K) => W - K); + }, qe = (p, M) => { + const W = le(M); + return W.find((K) => p < K) ?? W[W.length - 1]; + }, Le = (p, M) => { + const W = le(M); + for (let K = W.length - 1; K >= 0; K -= 1) + if (p > W[K]) return W[K]; + return W[0]; + }, Ne = (p, M) => { + const W = le(M), K = W.findIndex((Ve) => p <= Ve); + return K >= 0 ? K : W.length - 1; + }, ze = Ne(I, r), $e = Ne(G, l), _e = `${(ze + 1) / h * 100}%`, U = `${($e + 1) / h * 100}%`, Ze = me && I > le(r)[0], et = me && I < le(r).at(-1), tt = G > le(l)[0], nt = G < le(l).at(-1), He = (p) => { + if (!me) return; + const M = p === "up" ? qe(I, r) : Le(I, r); + M !== I && (Y("complexity", { direction: p, value: M }), ne(M), e.devUi?.onSetParam?.("complexity", M), Ie(`Complexity ${M}`)); + }, We = (p) => { + const M = p === "up" ? qe(G, l) : Le(G, l); + M !== G && (Y("turbo", { direction: p, value: M }), se(M), e.devUi?.onSetParam?.("speedup", M), Ie(`Turbo ${M}x`)); + }, ot = () => { + const p = ["poisson", "lightlane", "both"], M = p.indexOf(T), W = p[(M + 1) % p.length]; + Y("mode", { value: W }), E(W), Ie(`Mode ${Ee(W)}`); + }, rt = () => { + Y("fano-page", { value: q === "scene" ? "fano" : "scene" }), b((p) => p === "scene" ? "fano" : "scene"); + }; + return de(() => { + const p = (M) => { + if (M.code !== "Space" || M.repeat) return; + const W = M.target, K = W?.tagName; + K === "INPUT" || K === "TEXTAREA" || W?.isContentEditable || (M.preventDefault(), ke((Ve) => !Ve)); + }; + return window.addEventListener("keydown", p), () => window.removeEventListener("keydown", p); + }, []), de(() => () => { + X.current && clearTimeout(X.current); + }, []), Qe((p, M) => { + ue || q === "fano" || (H.current += M * v * G, g.current += M * G); + }), de(() => { + H.current = 0, g.current = 0; + }, [ + I, + d, + m, + u, + R, + C, + j, + v, + L, + O, + J, + G, + k, + B, + F, + A + ]), /* @__PURE__ */ i(Fe, { children: [ + /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none", zIndex: 3e3 }, children: /* @__PURE__ */ n("div", { style: { position: "absolute", top: 12, right: 12, display: "flex", gap: 8, pointerEvents: "auto" }, children: /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + Y("advanced"), e.devUi?.onOpenHarness?.(); + }, + onPointerEnter: Se, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "10px 12px", + fontSize: 12, + fontWeight: 400, + letterSpacing: "0.08em", + fontFamily: "var(--font-headline)", + textTransform: "uppercase", + cursor: "pointer", + boxShadow: "0 8px 24px rgba(0,0,0,0.25)" + }, + children: "Advanced" + } + ) }) }), + /* @__PURE__ */ n("ambientLight", { intensity: 0.4 }), + /* @__PURE__ */ n("directionalLight", { position: [10, 10, 5], intensity: 1, castShadow: !0 }), + /* @__PURE__ */ n("pointLight", { position: [-10, -10, -10], intensity: 0.5, color: "blue" }), + q === "scene" ? /* @__PURE__ */ i(Fe, { children: [ + !z && Be && /* @__PURE__ */ n(un, { radius: u }), + !z && Je && /* @__PURE__ */ n( + Wt, + { + complexity: I, + lightlanes: y, + radius: d, + distance: m, + allSectors: B, + cumulative: F + } + ), + !z && /* @__PURE__ */ n(mn, { radius: d, paused: ue }), + /* @__PURE__ */ n( + gn, + { + radius: u, + theta: C, + phi: R, + orbitTime: H, + simTime: g, + thetaDrift: L, + paused: ue + } + ), + /* @__PURE__ */ n( + vn, + { + complexity: I, + radius: d, + distance: m, + theta: C, + phi: R, + observationMode: j, + allSectors: B, + cumulative: F, + K: k, + orbitRadius: u, + orbitVelocity: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + usePoisson: A, + speedup: G, + paused: ue, + sceneView: T, + bottomInset: a, + showNumericDiagnostics: P, + compactNumericDiagnostics: o, + host: t, + centerDistribution: z, + hideFlyingBars: D || Pe + } + ), + ue && /* @__PURE__ */ n("group", { position: [0, u + 1.5, 0], children: /* @__PURE__ */ i("mesh", { children: [ + /* @__PURE__ */ n("sphereGeometry", { args: [0.12, 16, 16] }), + /* @__PURE__ */ n("meshBasicMaterial", { color: "#ef4444", toneMapped: !1 }) + ] }) }), + x && /* @__PURE__ */ n("axesHelper", { args: [Math.max(5, I)] }), + /* @__PURE__ */ n( + At, + { + infiniteGrid: !0, + fadeDistance: 50, + sectionColor: "#333", + cellColor: "#111", + position: [0, -0.01, 0] + } + ) + ] }) : /* @__PURE__ */ n( + pn, + { + radius: d, + distance: m, + chandraDistance: u, + allSectors: B, + cumulative: F, + theta: C, + phi: R, + orbitSpeed: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + K: k, + speedup: G, + usePoisson: A, + bottomInset: a, + onBack: () => b("scene"), + host: t + } + ), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", zIndex: 3200 }, children: [ + ve && /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + top: "50%", + left: "50%", + transform: "translate(-50%, -50%) skewX(-12deg)", + padding: "16px 28px", + color: "var(--terminal-green-soft)", + fontFamily: "var(--font-headline)", + fontStyle: "italic", + fontSize: 42, + letterSpacing: "0.16em", + textTransform: "uppercase", + textShadow: "0 0 20px rgba(125,255,155,0.38), 0 0 42px rgba(125,255,155,0.18)" + }, + children: /* @__PURE__ */ n("span", { style: { display: "inline-block", transform: "skewX(12deg)" }, children: ve }) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 10, + bottom: a + 16, + width: 26, + height: "min(44vh, 320px)", + display: "flex", + alignItems: "flex-end" + }, + children: /* @__PURE__ */ i( + "div", + { + style: { + position: "relative", + width: "100%", + height: "100%", + borderRadius: 14, + border: "1px solid rgba(251,191,36,0.35)", + background: "linear-gradient(to top, rgba(30,18,0,0.92), rgba(7,19,11,0.15))", + boxShadow: "0 0 22px rgba(251,191,36,0.12)", + overflow: "hidden", + opacity: me ? 1 : 0.35, + transition: "opacity 0.2s ease" + }, + children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "6px", + borderRadius: 10, + border: "1px solid rgba(251,191,36,0.14)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 5, + right: 5, + bottom: 5, + height: _e, + borderRadius: 9, + background: "linear-gradient(to top, rgba(245,158,11,0.96), rgba(253,224,71,0.96))", + boxShadow: "0 0 18px rgba(251,191,36,0.5)", + transition: "height 0.25s ease" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "8px 7px", + display: "grid", + gridTemplateRows: `repeat(${h}, 1fr)`, + pointerEvents: "none" + }, + children: Array.from({ length: h }).map((p, M) => /* @__PURE__ */ n( + "div", + { + style: { + borderTop: M === 0 ? "none" : "1px solid rgba(251,191,36,0.15)" + } + }, + `complexity-tick-${M}` + )) + } + ), + /* @__PURE__ */ i( + "div", + { + style: { + position: "absolute", + left: 34, + bottom: 0, + color: "#fcd34d", + fontFamily: "var(--font-headline)", + fontSize: 10, + letterSpacing: "0.08em", + textTransform: "uppercase", + writingMode: "vertical-rl", + transform: "rotate(180deg)", + textShadow: "0 0 12px rgba(251,191,36,0.25)" + }, + children: [ + "Complexity ", + ze + 1, + "/", + h + ] + } + ) + ] + } + ) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + right: 10, + bottom: a + 16, + width: 26, + height: "min(44vh, 320px)", + display: "flex", + alignItems: "flex-end" + }, + children: /* @__PURE__ */ i( + "div", + { + style: { + position: "relative", + width: "100%", + height: "100%", + borderRadius: 14, + border: "1px solid rgba(244,114,182,0.35)", + background: "linear-gradient(to top, rgba(42,7,23,0.94), rgba(7,19,11,0.15))", + boxShadow: "0 0 22px rgba(244,114,182,0.14)", + overflow: "hidden" + }, + children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "6px", + borderRadius: 10, + border: "1px solid rgba(244,114,182,0.14)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 5, + right: 5, + bottom: 5, + height: U, + borderRadius: 9, + background: "linear-gradient(to top, rgba(236,72,153,0.96), rgba(244,114,182,0.98))", + boxShadow: "0 0 18px rgba(244,114,182,0.5)", + transition: "height 0.25s ease" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "8px 7px", + display: "grid", + gridTemplateRows: `repeat(${h}, 1fr)`, + pointerEvents: "none" + }, + children: Array.from({ length: h }).map((p, M) => /* @__PURE__ */ n( + "div", + { + style: { + borderTop: M === 0 ? "none" : "1px solid rgba(244,114,182,0.15)" + } + }, + `turbo-tick-${M}` + )) + } + ), + /* @__PURE__ */ i( + "div", + { + style: { + position: "absolute", + right: 34, + bottom: 0, + color: "#f9a8d4", + fontFamily: "var(--font-headline)", + fontSize: 10, + letterSpacing: "0.08em", + textTransform: "uppercase", + writingMode: "vertical-rl", + textShadow: "0 0 12px rgba(244,114,182,0.25)" + }, + children: [ + "Turbo ", + $e + 1, + "/", + h + ] + } + ) + ] + } + ) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 12, + right: 12, + bottom: 10, + display: "grid", + gridTemplateColumns: "repeat(4, minmax(0, 1fr))", + gap: 8, + pointerEvents: "auto" + }, + children: [ + { + label: "Complexity", + kind: "adjust", + active: !1, + disabled: !me, + accent: "rgba(245,158,11,0.2)", + sublabel: `${I} • ${ze + 1}/${h}`, + meterColor: "linear-gradient(to top, rgba(245,158,11,0.95), rgba(253,224,71,0.95))", + meterSide: "left", + meterFill: _e, + onDecrease: () => He("down"), + onIncrease: () => He("up"), + canDecrease: Ze, + canIncrease: et + }, + { + label: "Mode", + kind: "action", + onClick: ot, + active: !1, + accent: "rgba(59,130,246,0.18)", + sublabel: Ee(T) + }, + { + label: "Fano Sweep", + kind: "action", + onClick: rt, + active: q === "fano", + accent: "rgba(59,130,246,0.22)", + sublabel: q === "fano" ? "Open" : "Scene" + }, + { + label: "Turbo", + kind: "adjust", + active: !1, + accent: "rgba(34,197,94,0.2)", + sublabel: `${G}x • ${$e + 1}/${h}`, + meterColor: "linear-gradient(to top, rgba(236,72,153,0.95), rgba(244,114,182,0.95))", + meterSide: "right", + meterFill: U, + onDecrease: () => We("down"), + onIncrease: () => We("up"), + canDecrease: tt, + canIncrease: nt + } + ].map((p) => p.kind === "adjust" ? /* @__PURE__ */ i( + "div", + { + style: { + minHeight: 54, + border: "1px solid var(--terminal-panel-border)", + background: p.active ? p.accent : "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "8px 10px", + display: "flex", + flexDirection: "column", + alignItems: "center", + justifyContent: "center", + gap: 6, + boxShadow: p.active ? "0 0 18px rgba(125,255,155,0.12)" : "0 8px 24px rgba(0,0,0,0.25)", + position: "relative", + overflow: "hidden", + opacity: p.disabled ? 0.38 : 1 + }, + children: [ + "meterColor" in p && /* @__PURE__ */ i(Fe, { children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + top: 6, + bottom: 6, + left: p.meterSide === "left" ? 6 : void 0, + right: p.meterSide === "right" ? 6 : void 0, + width: 6, + borderRadius: 999, + background: "rgba(255,255,255,0.07)", + border: "1px solid rgba(255,255,255,0.08)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + bottom: 7, + left: p.meterSide === "left" ? 7 : void 0, + right: p.meterSide === "right" ? 7 : void 0, + width: 4, + height: p.meterFill, + borderRadius: 999, + background: p.meterColor, + boxShadow: p.meterSide === "left" ? "0 0 10px rgba(251,191,36,0.45)" : "0 0 10px rgba(244,114,182,0.45)", + transition: "height 0.25s ease" + } + } + ) + ] }), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-headline)", + fontSize: 11, + fontWeight: 400, + letterSpacing: "0.08em", + textTransform: "uppercase", + lineHeight: 1.1 + }, + children: p.label + } + ), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-ui)", + fontSize: 10, + color: "var(--terminal-green)", + letterSpacing: "0.08em", + lineHeight: 1 + }, + children: p.sublabel + } + ), + /* @__PURE__ */ i("div", { style: { display: "grid", gridTemplateColumns: "repeat(2, minmax(0, 1fr))", gap: 6, width: "100%", marginTop: "auto" }, children: [ + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: p.onDecrease, + onPointerEnter: Se, + disabled: p.disabled || !p.canDecrease, + style: { + border: "1px solid rgba(255,255,255,0.12)", + background: "rgba(255,255,255,0.04)", + color: "var(--terminal-green-soft)", + borderRadius: 8, + minHeight: 24, + cursor: p.disabled || !p.canDecrease ? "not-allowed" : "pointer", + fontFamily: "var(--font-headline)", + fontSize: 12, + letterSpacing: "0.08em", + opacity: p.disabled || !p.canDecrease ? 0.35 : 1, + position: "relative", + zIndex: 1 + }, + children: "-" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: p.onIncrease, + onPointerEnter: Se, + disabled: p.disabled || !p.canIncrease, + style: { + border: "1px solid rgba(255,255,255,0.12)", + background: "rgba(255,255,255,0.04)", + color: "var(--terminal-green-soft)", + borderRadius: 8, + minHeight: 24, + cursor: p.disabled || !p.canIncrease ? "not-allowed" : "pointer", + fontFamily: "var(--font-headline)", + fontSize: 12, + letterSpacing: "0.08em", + opacity: p.disabled || !p.canIncrease ? 0.35 : 1, + position: "relative", + zIndex: 1 + }, + children: "+" + } + ) + ] }) + ] + }, + p.label + ) : /* @__PURE__ */ i( + "button", + { + type: "button", + onClick: p.onClick, + onPointerEnter: Se, + disabled: "disabled" in p ? p.disabled : !1, + style: { + minHeight: 54, + border: "1px solid var(--terminal-panel-border)", + background: p.active ? p.accent : "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "8px 10px", + cursor: "disabled" in p && p.disabled ? "not-allowed" : "pointer", + display: "flex", + flexDirection: "column", + alignItems: "center", + justifyContent: "center", + gap: 2, + boxShadow: p.active ? "0 0 18px rgba(125,255,155,0.12)" : "0 8px 24px rgba(0,0,0,0.25)", + position: "relative", + overflow: "hidden", + opacity: "disabled" in p && p.disabled ? 0.38 : 1 + }, + children: [ + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-headline)", + fontSize: 11, + fontWeight: 400, + letterSpacing: "0.08em", + textTransform: "uppercase", + lineHeight: 1.1 + }, + children: p.label + } + ), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-ui)", + fontSize: 10, + color: "var(--terminal-green)", + letterSpacing: "0.08em", + lineHeight: 1 + }, + children: p.sublabel + } + ) + ] + }, + p.label + )) + } + ) + ] }), + /* @__PURE__ */ n("color", { attach: "background", args: ["#050505"] }) + ] }); +} +const Bn = { + name: "lightlane", + displayName: "Lightlane Challenge", + version: "1.1.0", + paramSchema: { + hideScenePresentation: { type: "boolean", label: "Hide Sphere + Lightlanes", default: !1 }, + hideFlyingBars: { type: "boolean", label: "Hide Flying Bars", default: !1 }, + hideDataBoxes: { type: "boolean", label: "Hide Data Boxes", default: !1 }, + complexity: { type: "range", label: "Complexity", default: 5, min: 1, max: 20, step: 1 }, + radius: { type: "range", label: "Distance to star", default: 2, min: 0.1, max: 5, step: 0.1 }, + chandraDistance: { type: "range", label: "Chandra Camera Distance", default: 6, min: 5, max: 30, step: 0.5 }, + observationMode: { + type: "select", + label: "Observation Mode", + default: "randomSphere", + options: [ + { value: "orbit", label: "Orbit" }, + { value: "randomSphere", label: "Random Sphere" } + ] + }, + sceneView: { + type: "select", + label: "Scene View", + default: "both", + options: [ + { value: "both", label: "Both" }, + { value: "poisson", label: "Poisson" }, + { value: "lightlane", label: "Lightlane" } + ] + }, + orbitSpeed: { type: "range", label: "Orbit Speed", default: 0.2, min: 0, max: 2, step: 0.01 }, + thetaDrift: { type: "range", label: "Theta Drift", default: 0, min: -1, max: 1, step: 0.01 }, + thetaJitter: { type: "range", label: "Theta Jitter", default: 0, min: 0, max: 0.25, step: 5e-3 }, + phiJitter: { type: "range", label: "Phi Jitter", default: 0, min: 0, max: 0.5, step: 0.01 }, + speedup: { type: "range", label: "Speedup", default: 1, min: 1, max: 240, step: 1 } + }, + defaultParams: { + complexity: 5, + radius: 2, + orbitSpeed: 0.2, + thetaDrift: 0, + thetaJitter: 0, + phiJitter: 0, + chandraDistance: 6, + observationMode: "randomSphere", + sceneView: "both", + speedup: 1, + // Internal defaults will handle the rest + distance: 5, + showAxes: !1, + lightlanes: !0, + allSectors: !0, + cumulative: !1, + phi: 0, + theta: Math.PI / 2, + K: 1e3, + usePoisson: !0, + hideScenePresentation: !1, + hideFlyingBars: !1, + hideDataBoxes: !1 + } +}; +export { + kn as default, + Bn as metadata +}; +//# sourceMappingURL=lightlane.js.map diff --git a/dist/glitch/glitch_lightlane/lightlane.js.map b/dist/glitch/glitch_lightlane/lightlane.js.map new file mode 100644 index 0000000..6b3be1e --- /dev/null +++ b/dist/glitch/glitch_lightlane/lightlane.js.map @@ -0,0 +1 @@ +{"version":3,"file":"lightlane.js","sources":["../src/components/VectorArrow.tsx","../src/vectors.ts","../src/components/DiophantineVectors.tsx","../src/hostBridge.ts","../src/components/lightlane-engine.js","../src/components/FanoSweepPanel.tsx","../src/components/PoissonShell.tsx","../src/components/PulsingSphere.tsx","../src/components/OrbitingObject.tsx","../src/components/SamplingSystem.tsx","../src/types.ts","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useMemo } from 'react';\nimport * as THREE from 'three';\n\ninterface VectorArrowProps {\n vector: [number, number, number];\n origin?: [number, number, number];\n color?: string;\n}\n\nexport function VectorArrow({ vector, origin = [0, 0, 0], color = '#facc15' }: VectorArrowProps) {\n const { dir, len, position } = useMemo(() => {\n const start = new THREE.Vector3(...origin);\n const end = new THREE.Vector3(...vector);\n\n const len = start.distanceTo(end);\n const dir = end.clone().sub(start).normalize();\n\n // ArrowHelper takes direction, origin, length.\n return { dir, len, position: start };\n }, [vector, origin]);\n\n // Using primitive ArrowHelper for geometrical correctness and simplicity\n // We can wrap it in a primitive. \n // However, ArrowHelper manages its own geometry updates which can be tricky in React.\n // Re-creating the helper when props change is a safe pattern for simple props.\n const arrowHelper = useMemo(() => {\n return new THREE.ArrowHelper(dir, position, len, color, 0.2 * Math.min(len, 1) + 0.1, 0.1 * Math.min(len, 1) + 0.05);\n }, [dir, len, position, color]);\n\n return ;\n}\n","export type Vector3Tuple = [number, number, number];\n\nexport function getVectors(complexity: number, allSectors: boolean = false): Vector3Tuple[] {\n const vectors: Vector3Tuple[] = [];\n\n // Complexity N corresponds to integer solutions for x + y + z = N\n // where x, y, z >= 0\n\n for (let x = 0; x <= complexity; x++) {\n for (let y = 0; y <= complexity - x; y++) {\n const z = complexity - x - y;\n\n if (z >= 0) {\n if (!allSectors) {\n vectors.push([x, y, z]);\n } else {\n // Generate permutations for all octants\n // For each component, if it's non-zero, it can be + or -\n const xSigns = x === 0 ? [1] : [1, -1];\n const ySigns = y === 0 ? [1] : [1, -1];\n const zSigns = z === 0 ? [1] : [1, -1];\n\n for (const sx of xSigns) {\n for (const sy of ySigns) {\n for (const sz of zSigns) {\n vectors.push([x * sx, y * sy, z * sz]);\n }\n }\n }\n }\n }\n }\n }\n\n return vectors;\n}\n","import { useMemo } from 'react';\nimport { VectorArrow } from './VectorArrow';\nimport { getVectors } from '../vectors';\nimport * as THREE from 'three';\n\ninterface DiophantineVectorsProps {\n complexity: number;\n lightlanes?: boolean;\n radius?: number;\n distance?: number;\n allSectors?: boolean;\n cumulative?: boolean;\n}\n\nfunction LightlaneCylinder({ vector, radius, distance, color }: { vector: [number, number, number], radius: number, distance: number, color: string }) {\n const { position, quaternion } = useMemo(() => {\n const v = new THREE.Vector3(...vector).normalize();\n const up = new THREE.Vector3(0, 1, 0);\n const quaternion = new THREE.Quaternion().setFromUnitVectors(up, v);\n const position = v.clone().multiplyScalar(distance / 2);\n return { position, quaternion };\n }, [vector, distance]);\n\n return (\n \n \n \n \n );\n}\n\nexport function DiophantineVectors({ complexity, lightlanes = false, radius = 0.5, distance = 5, allSectors = false, cumulative = false }: DiophantineVectorsProps) {\n const vectorData = useMemo(() => {\n const data: { vec: [number, number, number], c: number }[] = [];\n\n const start = cumulative ? 1 : complexity;\n const end = complexity;\n\n for (let c = start; c <= end; c++) {\n const result = getVectors(c, allSectors);\n for (const v of result) {\n data.push({ vec: v, c });\n }\n }\n return data;\n }, [complexity, allSectors, cumulative]);\n\n // Helper to get color based on complexity\n // Low (1) -> Purple (~270)\n // High (max) -> Red (~0 or 360, but let's go down to 0)\n // But wait, standard HSL: Red=0/360, Purple=270.\n // User wants: Higher = Red, Lower = Purple.\n // So mapping: c=1 -> 270, c=max -> 0.\n const getColor = (c: number) => {\n const maxC = cumulative ? Math.max(complexity, 1) : complexity;\n const ratio = maxC > 1 ? (c - 1) / (maxC - 1) : 1;\n // inverse ratio for hue: 1 -> 0, 0 -> 1 ?\n // We want ratio 0 (c=1) -> 270\n // We want ratio 1 (c=max) -> 0\n const hue = 270 * (1 - ratio);\n return `hsl(${hue}, 100%, 50%)`;\n };\n\n return (\n \n {vectorData.map((item, i) => {\n const color = cumulative ? getColor(item.c) : (lightlanes ? \"#ff33c5\" : \"#4ade80\");\n\n return lightlanes ? (\n \n ) : (\n \n );\n })}\n \n );\n}\n","import type { GlitchHostBridge } from './types';\n\nexport const HOST_SOUND_EVENT = 'glitch:play-sound';\nexport const HOST_STOP_SOUND_EVENT = 'glitch:stop-sound';\nexport const HOST_EMIT_PREFIX = 'glitch:host:';\n\nexport const SOUND_IDS = {\n click: 'ui.button_click',\n hover: 'ui.button_hover',\n computeStart: 'machine.compute_start',\n computeStep: 'machine.compute_step',\n computeDone: 'machine.compute_done',\n verdictStable: 'machine.verdict_stable',\n verdictAlert: 'machine.verdict_alert'\n} as const;\n\nexport type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS];\n\nfunction dispatchWindowEvent(type: string, detail: T) {\n if (typeof window === 'undefined') return;\n window.dispatchEvent(new CustomEvent(type, { detail }));\n}\n\nexport function safePlaySound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.playSound) {\n host.playSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_SOUND_EVENT, { id, payload });\n}\n\nexport function safeStopSound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.stopSound) {\n host.stopSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_STOP_SOUND_EVENT, { id, payload });\n}\n\nexport function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown) {\n try {\n if (host?.emit) {\n host.emit(type, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(`${HOST_EMIT_PREFIX}${type}`, payload);\n}\n","// Pure JS sampling/simulation engine used by the React visualization.\n// The module owns the sampling state and exposes simulate(dt).\n\nconst EPS = 1e-12;\n\nexport function createRng(seed = 123456789) {\n let a = seed >>> 0;\n return function rand() {\n a |= 0;\n a = (a + 0x6d2b79f5) | 0;\n let t = Math.imul(a ^ (a >>> 15), 1 | a);\n t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t;\n return ((t ^ (t >>> 14)) >>> 0) / 4294967296;\n };\n}\n\nexport function samplePoisson(lambda, rand = Math.random) {\n if (!Number.isFinite(lambda) || lambda <= 0) return 0;\n\n if (lambda < 30) {\n const L = Math.exp(-lambda);\n let k = 0;\n let p = 1;\n do {\n k++;\n p *= rand();\n } while (p > L);\n return k - 1;\n }\n\n const u1 = Math.max(1e-12, rand());\n const u2 = rand();\n const z = Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n const x = lambda + Math.sqrt(lambda) * z;\n return Math.max(0, Math.round(x));\n}\n\nfunction toXYZ(v) {\n return [v[0] ?? v.x, v[1] ?? v.y, v[2] ?? v.z];\n}\n\nfunction norm3(x, y, z) {\n return Math.sqrt(x * x + y * y + z * z);\n}\n\nfunction wrapAngle(angle) {\n const twoPi = 2 * Math.PI;\n let a = angle % twoPi;\n if (a < 0) a += twoPi;\n return a;\n}\n\nfunction randomSphereAngles(rand) {\n const u = 2 * rand() - 1; // cos(theta) uniform\n const phi = 2 * Math.PI * rand();\n return {\n theta: Math.acos(Math.max(-1, Math.min(1, u))),\n phi,\n };\n}\n\n// Reflect polar angle back into [0, pi] so continuous drift can pass poles\n// without creating invalid spherical coordinates.\nexport function reflectPolarTheta(theta) {\n const twoPi = 2 * Math.PI;\n let t = theta % twoPi;\n if (t < 0) t += twoPi;\n if (t > Math.PI) t = twoPi - t;\n return t;\n}\n\nexport function sampleNormal(rand = Math.random) {\n const u1 = Math.max(1e-12, rand());\n const u2 = rand();\n return Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n}\n\nexport function vecOnSphereFromAngles(D, theta, phi) {\n const sinT = Math.sin(theta);\n return [\n D * sinT * Math.cos(phi),\n D * Math.cos(theta),\n D * sinT * Math.sin(phi),\n ];\n}\n\nexport function getDiophantineVectors(complexity, allSectors = false, cumulative = false) {\n const vectors = [];\n const start = cumulative ? 1 : complexity;\n const end = complexity;\n\n for (let c = start; c <= end; c++) {\n for (let x = 0; x <= c; x++) {\n for (let y = 0; y <= c - x; y++) {\n const z = c - x - y;\n if (!allSectors) {\n vectors.push([x, y, z]);\n continue;\n }\n\n const xSigns = x === 0 ? [1] : [1, -1];\n const ySigns = y === 0 ? [1] : [1, -1];\n const zSigns = z === 0 ? [1] : [1, -1];\n for (const sx of xSigns) {\n for (const sy of ySigns) {\n for (const sz of zSigns) {\n vectors.push([x * sx, y * sy, z * sz]);\n }\n }\n }\n }\n }\n }\n\n return vectors;\n}\n\nexport function buildLaneEndpointsOnShell({\n D,\n complexity,\n allSectors = false,\n cumulative = false,\n}) {\n if (!Number.isFinite(D) || D <= 0) return [];\n if (!Number.isInteger(complexity) || complexity < 1) return [];\n\n const raw = getDiophantineVectors(complexity, allSectors, cumulative);\n const out = [];\n for (let i = 0; i < raw.length; i++) {\n const [x, y, z] = raw[i];\n const n = norm3(x, y, z);\n if (n <= EPS) continue;\n out.push([(D * x) / n, (D * y) / n, (D * z) / n]);\n }\n return out;\n}\n\nexport function countLaneOverlapsOnSegments(lanes, satPos, laneRadius) {\n if (!lanes || lanes.length === 0) return 0;\n if (!Number.isFinite(laneRadius) || laneRadius <= 0) return 0;\n\n const [Px, Py, Pz] = toXYZ(satPos);\n const r2 = laneRadius * laneRadius;\n let count = 0;\n\n for (let i = 0; i < lanes.length; i++) {\n const [Bx, By, Bz] = toXYZ(lanes[i]);\n const b2 = Bx * Bx + By * By + Bz * Bz;\n if (b2 <= EPS) continue;\n\n let t = (Px * Bx + Py * By + Pz * Bz) / b2;\n if (t < 0) t = 0;\n if (t > 1) t = 1;\n\n const Cx = t * Bx;\n const Cy = t * By;\n const Cz = t * Bz;\n const dx = Px - Cx;\n const dy = Py - Cy;\n const dz = Pz - Cz;\n\n if (dx * dx + dy * dy + dz * dz < r2) count++;\n }\n\n return count;\n}\n\nexport function countLaneOverlapsOnShell(lanes, D, satPos, laneRadius) {\n if (!lanes || lanes.length === 0) return 0;\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(laneRadius) || laneRadius <= 0) return 0;\n\n const [Px, Py, Pz] = toXYZ(satPos);\n const R2 = D * D;\n const dotThreshold = R2 - 0.5 * laneRadius * laneRadius;\n\n let count = 0;\n for (let i = 0; i < lanes.length; i++) {\n const [Bx, By, Bz] = toXYZ(lanes[i]);\n if (Px * Bx + Py * By + Pz * Bz > dotThreshold) count++;\n }\n return count;\n}\n\nexport function isotropicCoverageProbability({ D, lane_radius }) {\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) return 0;\n const p = (lane_radius * lane_radius) / (4 * D * D);\n if (p <= 0) return 0;\n return p > 1 ? 1 : p;\n}\n\nexport function isotropicCoverageProbabilitySegment({ D, lane_radius, lane_length }) {\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) return 0;\n if (!Number.isFinite(lane_length) || lane_length <= 0) return 0;\n\n // If the visual segment reaches the observation shell, the shell-cap model is exact.\n if (lane_length >= D - EPS) {\n return isotropicCoverageProbability({ D, lane_radius });\n }\n\n const r = lane_radius;\n const L = lane_length;\n\n // No possible hit if the aperture is smaller than the endpoint gap.\n const dMin = D - L;\n if (r <= dMin) return 0;\n\n // For unrealistic very large apertures, clamp to full coverage.\n if (r >= D + L) return 1;\n\n // Minimum distance to the segment is a monotone function of c = cos(alpha) on c in [0,1].\n // The hit set is a spherical cap c > c0.\n const dJoin = Math.sqrt(Math.max(0, D * D - L * L)); // distance at projection hitting the endpoint boundary\n let c0;\n\n if (r < dJoin) {\n // Endpoint-limited branch (nearest point is the segment endpoint)\n c0 = (D * D + L * L - r * r) / (2 * D * L);\n } else if (r < D) {\n // Interior cylinder branch\n c0 = Math.sqrt(Math.max(0, 1 - (r * r) / (D * D)));\n } else {\n // r >= D covers the whole front hemisphere and may extend beyond; clamp conservatively.\n c0 = -1;\n }\n\n if (!Number.isFinite(c0)) return 0;\n if (c0 < -1) c0 = -1;\n if (c0 > 1) c0 = 1;\n return (1 - c0) / 2;\n}\n\nexport function lambdaIsotropic({ flux, D, lane_radius, dt }) {\n if (!Number.isFinite(flux) || flux <= 0) return 0;\n if (!Number.isFinite(dt) || dt <= 0) return 0;\n const p = isotropicCoverageProbability({ D, lane_radius });\n return flux * p * dt;\n}\n\nexport function lambdaIsotropicSegment({ flux, D, lane_radius, lane_length, dt }) {\n if (!Number.isFinite(flux) || flux <= 0) return 0;\n if (!Number.isFinite(dt) || dt <= 0) return 0;\n const p = isotropicCoverageProbabilitySegment({ D, lane_radius, lane_length });\n return flux * p * dt;\n}\n\nexport function lambdaIsotropicForGeometry({\n flux,\n D,\n lane_radius,\n dt,\n hitTestModel = \"shell\",\n lane_length,\n}) {\n if (hitTestModel === \"segment\") {\n return lambdaIsotropicSegment({ flux, D, lane_radius, lane_length, dt });\n }\n return lambdaIsotropic({ flux, D, lane_radius, dt });\n}\n\nfunction validateConfig(config) {\n if (!config || typeof config !== \"object\") {\n throw new Error(\"createSamplingSimulation: config object is required.\");\n }\n\n const lane_radius = config.lane_radius ?? config.radius;\n const D = config.D;\n const complexity = config.complexity;\n const flux = config.flux;\n const bin_size = config.bin_size ?? 1;\n const sub_bin_sampling = config.sub_bin_sampling ?? 4;\n const thetaDrift = config.thetaDrift ?? config.theta_drift ?? 0;\n const thetaJitter = config.thetaJitter ?? config.theta_jitter ?? 0;\n const phiJitter = config.phiJitter ?? config.phi_jitter ?? 0;\n const lane_length = config.laneLength ?? config.lane_length ?? config.distance ?? D;\n const hitTestModel = config.hitTestModel ?? config.hit_test_model ?? \"shell\";\n const observationMode = config.observationMode ?? config.observation_mode ?? \"orbit\";\n\n if (!Number.isFinite(D) || D <= 0) {\n throw new Error(\"createSamplingSimulation: D must be a positive number.\");\n }\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) {\n throw new Error(\"createSamplingSimulation: lane_radius (or radius) must be a positive number.\");\n }\n if (!Number.isInteger(complexity) || complexity < 1) {\n throw new Error(\"createSamplingSimulation: complexity must be an integer >= 1.\");\n }\n if (!Number.isFinite(flux) || flux < 0) {\n throw new Error(\"createSamplingSimulation: flux must be a finite number >= 0.\");\n }\n if (!Number.isFinite(bin_size) || bin_size <= 0) {\n throw new Error(\"createSamplingSimulation: bin_size must be a positive number.\");\n }\n if (!Number.isInteger(sub_bin_sampling) || sub_bin_sampling < 1) {\n throw new Error(\"createSamplingSimulation: sub_bin_sampling must be an integer >= 1.\");\n }\n if (!Number.isFinite(thetaDrift)) {\n throw new Error(\"createSamplingSimulation: thetaDrift must be finite.\");\n }\n if (!Number.isFinite(thetaJitter) || thetaJitter < 0) {\n throw new Error(\"createSamplingSimulation: thetaJitter must be a finite number >= 0.\");\n }\n if (!Number.isFinite(phiJitter) || phiJitter < 0) {\n throw new Error(\"createSamplingSimulation: phiJitter must be a finite number >= 0.\");\n }\n if (!Number.isFinite(lane_length) || lane_length <= 0) {\n throw new Error(\"createSamplingSimulation: laneLength/lane_length/distance must be a positive number.\");\n }\n if (hitTestModel !== \"shell\" && hitTestModel !== \"segment\") {\n throw new Error('createSamplingSimulation: hitTestModel must be \"shell\" or \"segment\".');\n }\n if (observationMode !== \"orbit\" && observationMode !== \"randomSphere\") {\n throw new Error('createSamplingSimulation: observationMode must be \"orbit\" or \"randomSphere\".');\n }\n\n return {\n D,\n lane_radius,\n complexity,\n flux,\n bin_size,\n sub_bin_sampling,\n theta: reflectPolarTheta(config.theta ?? Math.PI / 2),\n phi: wrapAngle(config.phi ?? 0),\n velocity: config.velocity ?? 0,\n thetaDrift,\n thetaJitter,\n phiJitter,\n lane_length,\n hitTestModel,\n observationMode,\n allSectors: Boolean(config.allSectors),\n cumulative: Boolean(config.cumulative),\n usePoisson: config.usePoisson !== false,\n seed: Number.isFinite(config.seed) ? config.seed : 1,\n };\n}\n\nexport function createSamplingSimulation(config) {\n const cfg = validateConfig(config);\n const lanes = buildLaneEndpointsOnShell(cfg);\n const laneSegments =\n cfg.hitTestModel === \"segment\"\n ? buildLaneEndpointsOnShell({ ...cfg, D: cfg.lane_length })\n : lanes;\n const lightlaneRand = createRng(cfg.seed);\n const isotropicRand = createRng(cfg.seed + 1);\n const pathRand = createRng(cfg.seed + 2);\n\n const subBinSize = cfg.bin_size / cfg.sub_bin_sampling;\n const lambdaIsoSubBin = lambdaIsotropicForGeometry({\n flux: cfg.flux,\n D: cfg.D,\n lane_radius: cfg.lane_radius,\n dt: subBinSize,\n hitTestModel: cfg.hitTestModel,\n lane_length: cfg.lane_length,\n });\n let timeInBin = 0;\n let timeInSubBin = 0;\n let phase = cfg.phi;\n let thetaNow = cfg.theta;\n let elapsed = 0;\n let accumulatedLightlane = 0;\n let accumulatedIsotropic = 0;\n let expectedLightlaneThisBin = 0;\n let processedSubBinsInCurrentBin = 0;\n let lastLaneCount = 0;\n let overlapSumThisBin = 0;\n\n function sampleCount(lambda, rand) {\n return cfg.usePoisson ? samplePoisson(lambda, rand) : lambda;\n }\n\n function currentSatPos(sampleTheta = thetaNow, samplePhi = phase) {\n return vecOnSphereFromAngles(cfg.D, sampleTheta, samplePhi);\n }\n\n function processSubBin() {\n let sampleTheta;\n let samplePhi;\n if (cfg.observationMode === \"randomSphere\") {\n const ang = randomSphereAngles(pathRand);\n sampleTheta = ang.theta;\n samplePhi = ang.phi;\n } else {\n sampleTheta = reflectPolarTheta(\n thetaNow + (cfg.thetaJitter > 0 ? cfg.thetaJitter * sampleNormal(pathRand) : 0)\n );\n samplePhi = wrapAngle(\n phase + (cfg.phiJitter > 0 ? cfg.phiJitter * sampleNormal(pathRand) : 0)\n );\n }\n const satPos = currentSatPos(sampleTheta, samplePhi);\n const laneCount =\n cfg.hitTestModel === \"segment\"\n ? countLaneOverlapsOnSegments(laneSegments, satPos, cfg.lane_radius)\n : countLaneOverlapsOnShell(lanes, cfg.D, satPos, cfg.lane_radius);\n lastLaneCount = laneCount;\n\n const N = lanes.length;\n const lam = N > 0 ? (laneCount * cfg.flux * subBinSize) / N : 0;\n accumulatedLightlane += sampleCount(lam, lightlaneRand);\n accumulatedIsotropic += sampleCount(lambdaIsoSubBin, isotropicRand);\n expectedLightlaneThisBin += lam;\n overlapSumThisBin += laneCount;\n processedSubBinsInCurrentBin++;\n\n return {\n laneCount,\n satPos,\n lambdaLightlaneSubBin: lam,\n phase: samplePhi,\n theta: sampleTheta,\n };\n }\n\n function finalizeBin() {\n const effectiveBinSize =\n processedSubBinsInCurrentBin > 0 ? processedSubBinsInCurrentBin * subBinSize : cfg.bin_size;\n const lamIso = lambdaIsoSubBin * cfg.sub_bin_sampling;\n const isotropic = accumulatedIsotropic;\n const lightlane = accumulatedLightlane;\n\n const bin = {\n time: elapsed,\n bin_size: effectiveBinSize,\n lightlane,\n isotropic,\n lambdaIsotropic: processedSubBinsInCurrentBin > 0 ? lambdaIsoSubBin * processedSubBinsInCurrentBin : lamIso,\n overlaps: lastLaneCount,\n overlapsMean:\n processedSubBinsInCurrentBin > 0\n ? overlapSumThisBin / processedSubBinsInCurrentBin\n : 0,\n subBins: processedSubBinsInCurrentBin,\n phase,\n theta: thetaNow,\n lambdaLightlaneExpected: expectedLightlaneThisBin,\n };\n\n accumulatedLightlane = 0;\n accumulatedIsotropic = 0;\n expectedLightlaneThisBin = 0;\n overlapSumThisBin = 0;\n processedSubBinsInCurrentBin = 0;\n return bin;\n }\n\n return {\n config: { ...cfg },\n getLaneCount() {\n return lanes.length;\n },\n getState() {\n return {\n elapsed,\n phase,\n theta: thetaNow,\n timeInBin,\n timeInSubBin,\n accumulatedLightlane,\n accumulatedIsotropic,\n expectedLightlaneThisBin,\n processedSubBinsInCurrentBin,\n lastLaneCount,\n laneCount: lanes.length,\n };\n },\n reset() {\n timeInBin = 0;\n timeInSubBin = 0;\n phase = cfg.phi;\n thetaNow = cfg.theta;\n elapsed = 0;\n accumulatedLightlane = 0;\n accumulatedIsotropic = 0;\n expectedLightlaneThisBin = 0;\n processedSubBinsInCurrentBin = 0;\n lastLaneCount = 0;\n overlapSumThisBin = 0;\n },\n flushPartialBin() {\n if (processedSubBinsInCurrentBin <= 0) return null;\n const bin = finalizeBin();\n // Drop any partial sub-bin time so the visual pause appears immediate.\n timeInBin = 0;\n timeInSubBin = 0;\n return bin;\n },\n simulate(dt) {\n if (!Number.isFinite(dt) || dt <= 0) {\n return {\n bins: [],\n lastLaneCount,\n subBinEvents: 0,\n elapsed,\n };\n }\n\n let remaining = dt;\n let subBinEvents = 0;\n const bins = [];\n\n while (remaining > EPS) {\n const untilSub = subBinSize - timeInSubBin;\n const untilBin = cfg.bin_size - timeInBin;\n const step = Math.min(remaining, untilSub, untilBin);\n\n phase += cfg.velocity * step;\n thetaNow = reflectPolarTheta(thetaNow + cfg.thetaDrift * step);\n elapsed += step;\n timeInSubBin += step;\n timeInBin += step;\n remaining -= step;\n\n if (timeInSubBin >= subBinSize - EPS) {\n timeInSubBin = 0;\n processSubBin();\n subBinEvents++;\n }\n\n if (timeInBin >= cfg.bin_size - EPS) {\n timeInBin = 0;\n bins.push(finalizeBin());\n }\n }\n\n return {\n bins,\n lastLaneCount,\n subBinEvents,\n elapsed,\n };\n },\n };\n}\n\n// Backwards-compatible aliases while transitioning callers.\nexport const createDualRegimeSimulation = createSamplingSimulation;\n","import { Html } from '@react-three/drei';\nimport { useEffect, useMemo, useRef, useState } from 'react';\n\nimport { SOUND_IDS, safePlaySound, safeStopSound } from '../hostBridge';\nimport type { GlitchHostBridge } from '../types';\nimport { createSamplingSimulation } from './lightlane-engine.js';\n\ninterface FanoSweepPanelProps {\n radius: number;\n distance: number;\n chandraDistance: number;\n allSectors: boolean;\n cumulative: boolean;\n theta: number;\n phi: number;\n orbitSpeed: number;\n thetaDrift: number;\n thetaJitter: number;\n phiJitter: number;\n K: number;\n speedup: number;\n usePoisson: boolean;\n bottomInset?: number;\n onBack?: () => void;\n host?: GlitchHostBridge;\n}\n\ninterface SweepPoint {\n complexity: number;\n laneCount: number;\n meanBlue: number;\n meanYellow: number;\n fanoBlue: number;\n fanoYellow: number;\n fanoExcess: number;\n}\n\ninterface RunningMoments {\n n: number;\n mean: number;\n m2: number;\n}\n\nfunction updateMoments(m: RunningMoments, x: number): RunningMoments {\n const n = m.n + 1;\n const delta = x - m.mean;\n const mean = m.mean + delta / n;\n const m2 = m.m2 + delta * (x - mean);\n return { n, mean, m2 };\n}\n\nfunction emptyMoments(): RunningMoments {\n return { n: 0, mean: 0, m2: 0 };\n}\n\nfunction sampleFanoPoint({\n complexity,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n props,\n observationMode,\n seed,\n}: {\n complexity: number;\n samplesPerPoint: number;\n runsPerPoint: number;\n binSize: number;\n subBinSampling: number;\n props: FanoSweepPanelProps;\n observationMode: 'orbit' | 'randomSphere';\n seed: number;\n}): SweepPoint {\n let blue = emptyMoments();\n let yellow = emptyMoments();\n let laneCount = 0;\n\n for (let run = 0; run < runsPerPoint; run++) {\n const sim = createSamplingSimulation({\n D: props.chandraDistance,\n theta: props.theta,\n phi: props.phi,\n observationMode,\n velocity: props.orbitSpeed,\n thetaDrift: props.thetaDrift,\n thetaJitter: props.thetaJitter,\n phiJitter: props.phiJitter,\n bin_size: binSize,\n complexity,\n sub_bin_sampling: subBinSampling,\n flux: props.K,\n lane_radius: props.radius,\n distance: props.distance,\n hitTestModel: 'segment',\n allSectors: props.allSectors,\n cumulative: props.cumulative,\n usePoisson: props.usePoisson,\n seed: seed + run * 7_919,\n });\n if (run === 0) laneCount = sim.getLaneCount();\n\n for (let i = 0; i < samplesPerPoint; i++) {\n const { bins } = sim.simulate(binSize);\n const bin = bins[0];\n if (!bin) continue;\n blue = updateMoments(blue, bin.lightlane);\n yellow = updateMoments(yellow, bin.isotropic);\n }\n }\n\n const varBlue = blue.n > 1 ? blue.m2 / (blue.n - 1) : 0;\n const varYellow = yellow.n > 1 ? yellow.m2 / (yellow.n - 1) : 0;\n const fanoBlue = blue.mean > 0 ? varBlue / blue.mean : 0;\n const fanoYellow = yellow.mean > 0 ? varYellow / yellow.mean : 0;\n\n return {\n complexity,\n laneCount,\n meanBlue: blue.mean,\n meanYellow: yellow.mean,\n fanoBlue,\n fanoYellow,\n fanoExcess: Math.max(0, fanoBlue - fanoYellow),\n };\n}\n\nfunction fitPowerLaw(points: SweepPoint[], minComplexity = 1) {\n const usable = points.filter(p => p.complexity >= minComplexity && p.complexity > 1 && p.fanoExcess > 1e-6);\n if (usable.length < 3) return null;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = usable.length;\n\n for (const p of usable) {\n const x = Math.log(p.laneCount);\n const y = Math.log(p.fanoExcess);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) return null;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n\n return {\n A: Math.exp(intercept),\n alpha: -slope,\n predictFanoExcessFromLaneCount(laneCount: number) {\n return Math.exp(intercept + slope * Math.log(Math.max(1, laneCount)));\n },\n };\n}\n\nfunction fitPowerLawWithFloor(points: SweepPoint[], minComplexity = 1) {\n const usable = points.filter(p => p.complexity >= minComplexity && p.complexity > 1 && p.fanoExcess > 1e-6);\n if (usable.length < 4) return null;\n\n const minY = Math.min(...usable.map((p) => p.fanoExcess));\n const maxB = Math.max(0, minY * 0.98);\n let best: null | {\n A: number;\n alpha: number;\n B: number;\n score: number;\n } = null;\n\n const steps = 80;\n for (let i = 0; i <= steps; i++) {\n const B = (i / steps) * maxB;\n const shifted = usable\n .map((p) => ({ x: p.laneCount, y: p.fanoExcess - B }))\n .filter((p) => p.y > 1e-9);\n if (shifted.length < 3) continue;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = shifted.length;\n\n for (const p of shifted) {\n const x = Math.log(p.x);\n const y = Math.log(p.y);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) continue;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n const A = Math.exp(intercept);\n const alpha = -slope;\n if (!(A > 0) || !(alpha > 0)) continue;\n\n let score = 0;\n for (const p of usable) {\n const pred = B + A * Math.pow(Math.max(1, p.laneCount), -alpha);\n const err = Math.log(Math.max(1e-9, p.fanoExcess)) - Math.log(Math.max(1e-9, pred));\n score += err * err;\n }\n\n if (!best || score < best.score) {\n best = { A, alpha, B, score };\n }\n }\n\n if (!best) return null;\n\n return {\n A: best.A,\n alpha: best.alpha,\n B: best.B,\n score: best.score,\n predictFanoExcessFromLaneCount(laneCount: number) {\n return best.B + best.A * Math.pow(Math.max(1, laneCount), -best.alpha);\n },\n };\n}\n\nfunction fitPowerXY(samples: Array<{ x: number; y: number }>) {\n const usable = samples.filter((s) => s.x > 0 && s.y > 0);\n if (usable.length < 3) return null;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = usable.length;\n\n for (const s of usable) {\n const x = Math.log(s.x);\n const y = Math.log(s.y);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) return null;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n const A = Math.exp(intercept);\n\n return {\n A,\n beta: slope,\n predict(x: number) {\n return A * Math.pow(Math.max(1e-9, x), slope);\n },\n invert(y: number) {\n if (A <= 0 || Math.abs(slope) < 1e-12 || y <= 0) return null;\n return Math.pow(y / A, 1 / slope);\n },\n };\n}\n\nfunction estimateComplexityFromLaneCount(points: SweepPoint[], targetLaneCount: number) {\n if (!Number.isFinite(targetLaneCount) || targetLaneCount <= 0 || points.length === 0) return null;\n\n const sorted = [...points].sort((a, b) => a.complexity - b.complexity);\n const byLane = [...sorted].sort((a, b) => a.laneCount - b.laneCount);\n const first = byLane[0];\n const last = byLane[byLane.length - 1];\n\n if (targetLaneCount <= first.laneCount) {\n return { complexity: first.complexity, mode: 'observed-range' as const };\n }\n\n for (let i = 1; i < byLane.length; i++) {\n const a = byLane[i - 1];\n const b = byLane[i];\n if (targetLaneCount <= b.laneCount) {\n const denom = Math.max(1e-9, b.laneCount - a.laneCount);\n const t = (targetLaneCount - a.laneCount) / denom;\n return {\n complexity: a.complexity + t * (b.complexity - a.complexity),\n mode: 'observed-range' as const,\n };\n }\n }\n\n const growthFit = fitPowerXY(sorted.map((p) => ({ x: p.complexity, y: p.laneCount })));\n const extrapolated = growthFit?.invert(targetLaneCount) ?? null;\n if (extrapolated && Number.isFinite(extrapolated)) {\n return { complexity: extrapolated, mode: 'extrapolated' as const };\n }\n\n return { complexity: last.complexity, mode: 'observed-max' as const };\n}\n\nfunction linePath(points: SweepPoint[], getY: (p: SweepPoint) => number, xToPx: (x: number) => number, yToPx: (y: number) => number) {\n return points\n .map((p, i) => `${i === 0 ? 'M' : 'L'} ${xToPx(p.complexity)} ${yToPx(getY(p))}`)\n .join(' ');\n}\n\nfunction formatYAxisTick(value: number) {\n if (value >= 10) return value.toFixed(0);\n if (value >= 2) return value.toFixed(1);\n return value.toFixed(2);\n}\n\nfunction buildLogTicks(min: number, max: number) {\n const candidates = [\n 0.5, 0.6, 0.7, 0.8, 0.9,\n 1.0, 1.1, 1.2, 1.4, 1.6, 1.8,\n 2.0, 2.5, 3.0, 4.0, 5.0, 7.5, 10.0,\n ];\n\n const ticks = candidates.filter(v => v >= min && v <= max);\n if (ticks.length >= 3) return ticks;\n\n // Fallback for unusual ranges.\n const steps = 5;\n const logMin = Math.log(min);\n const logMax = Math.log(max);\n return Array.from({ length: steps }, (_, i) => {\n const t = i / (steps - 1);\n return Math.exp(logMin + (logMax - logMin) * t);\n });\n}\n\nexport function FanoSweepPanel(props: FanoSweepPanelProps) {\n const [maxComplexity, setMaxComplexity] = useState(40);\n const [samplesPerPoint, setSamplesPerPoint] = useState(1000);\n const [runsPerPoint, setRunsPerPoint] = useState(3);\n const [binSize, setBinSize] = useState(1);\n const [subBinSampling, setSubBinSampling] = useState(4);\n const [observationMode, setObservationMode] = useState<'orbit' | 'randomSphere'>('randomSphere');\n const [targetExcess, setTargetExcess] = useState(0.05);\n const [fitStartComplexity, setFitStartComplexity] = useState(10);\n const [runId, setRunId] = useState(0);\n const [points, setPoints] = useState([]);\n const [progress, setProgress] = useState(0);\n const [running, setRunning] = useState(false);\n const wasRunningRef = useRef(false);\n const progressStepRef = useRef(-1);\n\n const playUiHover = () => {\n safePlaySound(props.host, SOUND_IDS.hover, { page: 'fano' });\n };\n\n const playUiClick = (target: string, payload?: Record) => {\n safePlaySound(props.host, SOUND_IDS.click, { page: 'fano', target, ...payload });\n };\n\n useEffect(() => {\n let cancelled = false;\n setPoints([]);\n setProgress(0);\n setRunning(true);\n\n (async () => {\n const nextPoints: SweepPoint[] = [];\n\n for (let c = 1; c <= maxComplexity; c++) {\n if (cancelled) return;\n const point = sampleFanoPoint({\n complexity: c,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n props,\n observationMode,\n seed: 10_000 + c * 97 + runId * 100_003,\n });\n nextPoints.push(point);\n setPoints([...nextPoints]);\n setProgress(c / maxComplexity);\n await new Promise(resolve => setTimeout(resolve, 0));\n }\n\n if (!cancelled) setRunning(false);\n })();\n\n return () => {\n cancelled = true;\n };\n }, [\n maxComplexity,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n observationMode,\n runId,\n props.radius,\n props.distance,\n props.chandraDistance,\n props.allSectors,\n props.cumulative,\n props.theta,\n props.phi,\n props.orbitSpeed,\n props.thetaDrift,\n props.thetaJitter,\n props.phiJitter,\n props.K,\n props.speedup,\n props.usePoisson,\n ]);\n\n useEffect(() => {\n const wasRunning = wasRunningRef.current;\n wasRunningRef.current = running;\n\n if (running && !wasRunning) {\n progressStepRef.current = -1;\n safePlaySound(props.host, SOUND_IDS.computeStart, { page: 'fano' });\n return;\n }\n\n if (!running && wasRunning) {\n safeStopSound(props.host, SOUND_IDS.computeStep, { page: 'fano' });\n safePlaySound(props.host, SOUND_IDS.computeDone, { page: 'fano', points: points.length });\n }\n }, [running, props.host, points.length]);\n\n useEffect(() => {\n if (!running) return;\n const nextProgressStep = Math.floor(progress * 10);\n if (nextProgressStep <= progressStepRef.current) return;\n progressStepRef.current = nextProgressStep;\n safePlaySound(props.host, SOUND_IDS.computeStep, { page: 'fano', progress });\n }, [progress, running, props.host]);\n\n const fit = useMemo(() => fitPowerLaw(points, fitStartComplexity), [points, fitStartComplexity]);\n const floorFit = useMemo(() => fitPowerLawWithFloor(points, fitStartComplexity), [points, fitStartComplexity]);\n const indistinguishableEstimate = useMemo(() => {\n if (!fit || fit.alpha <= 0 || targetExcess <= 0) return null;\n\n if (floorFit && floorFit.B >= targetExcess) {\n return {\n targetExcess,\n requiredLaneCount: Number.POSITIVE_INFINITY,\n measuredCrossing: points.find((p) => p.fanoExcess <= targetExcess) ?? null,\n complexityEstimate: null,\n blockedByFloor: true as const,\n floorExcess: floorFit.B,\n };\n }\n\n const effectiveTarget = floorFit ? Math.max(1e-9, targetExcess - floorFit.B) : targetExcess;\n const effectiveA = floorFit ? floorFit.A : fit.A;\n const effectiveAlpha = floorFit ? floorFit.alpha : fit.alpha;\n const requiredLaneCount = Math.pow(effectiveA / effectiveTarget, 1 / effectiveAlpha);\n if (!Number.isFinite(requiredLaneCount) || requiredLaneCount <= 0) return null;\n\n const measuredCrossing = points.find((p) => p.fanoExcess <= targetExcess) ?? null;\n const complexityEstimate = estimateComplexityFromLaneCount(points, requiredLaneCount);\n\n return {\n targetExcess,\n requiredLaneCount,\n measuredCrossing,\n complexityEstimate,\n blockedByFloor: false as const,\n floorExcess: floorFit?.B ?? 0,\n };\n }, [fit, floorFit, points, targetExcess]);\n\n const plot = useMemo(() => {\n const width = 860;\n const height = 360;\n const margin = { top: 20, right: 20, bottom: 42, left: 48 };\n const innerW = width - margin.left - margin.right;\n const innerH = height - margin.top - margin.bottom;\n const maxX = Math.max(2, maxComplexity);\n const positiveYs = [\n 1,\n ...points.map(p => p.fanoBlue),\n ...points.map(p => p.fanoYellow),\n ...points.map(p => 1 + p.fanoExcess),\n ].filter((v) => Number.isFinite(v) && v > 0);\n const rawYMin = Math.min(...positiveYs);\n const rawYMax = Math.max(...positiveYs);\n const yMin = Math.max(1e-3, Math.min(0.95, rawYMin * 0.95));\n const yMax = Math.max(1.05, rawYMax * 1.05);\n const logMin = Math.log(yMin);\n const logMax = Math.log(yMax);\n\n const xToPx = (x: number) => margin.left + ((x - 1) / (maxX - 1)) * innerW;\n const yToPx = (y: number) => {\n const safeY = Math.min(yMax, Math.max(yMin, y));\n const ly = Math.log(safeY);\n return margin.top + innerH - ((ly - logMin) / Math.max(1e-9, (logMax - logMin))) * innerH;\n };\n const yTicks = buildLogTicks(yMin, yMax);\n\n return { width, height, margin, innerW, innerH, xToPx, yToPx, yMax, yMin, yTicks };\n }, [points, maxComplexity]);\n\n const bluePath = useMemo(\n () => (points.length > 1 ? linePath(points, p => p.fanoBlue, plot.xToPx, plot.yToPx) : ''),\n [points, plot]\n );\n const yellowPath = useMemo(\n () => (points.length > 1 ? linePath(points, p => p.fanoYellow, plot.xToPx, plot.yToPx) : ''),\n [points, plot]\n );\n\n const latest = points.at(-1) ?? null;\n\n return (\n \n \n
\n
\n
\n Fano Sweep\n
\n
\n Goal: show {`Fano(Blue)`} trending toward 1.0 (or toward Yellow) as complexity increases.\n
\n
\n
\n {props.onBack && (\n {\n playUiClick('back-to-simulator');\n props.onBack?.();\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '8px 12px',\n borderRadius: '8px',\n cursor: 'pointer',\n fontSize: '12px',\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.08em',\n textTransform: 'uppercase',\n }}\n >\n Back To Simulator\n \n )}\n {\n playUiClick('rerun-sweep');\n setRunId(prev => prev + 1);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: running ? 'rgba(125, 255, 155, 0.14)' : 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '8px 12px',\n borderRadius: '8px',\n cursor: 'pointer',\n fontSize: '12px',\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.08em',\n textTransform: 'uppercase',\n }}\n >\n {running ? 'Rerun (queued)' : 'Rerun Sweep'}\n \n
\n
\n\n
\n {\n playUiClick('preset-video-demo');\n setObservationMode('randomSphere');\n setMaxComplexity(60);\n setSamplesPerPoint(1200);\n setRunsPerPoint(2);\n setBinSize(1);\n setSubBinSampling(4);\n setFitStartComplexity(12);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '6px 10px',\n borderRadius: 8,\n cursor: 'pointer',\n fontSize: 11,\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.06em',\n }}\n >\n Preset: Video Demo\n \n {\n playUiClick('preset-robust-sweep');\n setObservationMode('randomSphere');\n setMaxComplexity(200);\n setSamplesPerPoint(3000);\n setRunsPerPoint(5);\n setBinSize(1);\n setSubBinSampling(16);\n setFitStartComplexity(40);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid rgba(125, 255, 155, 0.32)',\n background: 'rgba(2,6,23,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '6px 10px',\n borderRadius: 8,\n cursor: 'pointer',\n fontSize: 11,\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.06em',\n }}\n >\n Preset: Robust Sweep\n \n
\n\n
\n \n \n \n \n \n \n \n \n
\n Progress\n
\n \n
\n
{running ? `Running ${Math.round(progress * 100)}%` : 'Complete'}
\n
\n
\n \n
\n \n \n \n\n {plot.yTicks.map((y, i) => {\n const py = plot.yToPx(y);\n return (\n \n \n {formatYAxisTick(y)}\n \n );\n })}\n\n \n Fano = 1\n\n \n \n\n {Array.from({ length: Math.min(maxComplexity, 10) }, (_, i) => {\n const x = 1 + ((maxComplexity - 1) * i) / Math.max(1, Math.min(maxComplexity - 1, 9));\n const px = plot.xToPx(x);\n return (\n \n \n \n {Math.round(x)}\n \n \n );\n })}\n\n {yellowPath && }\n {bluePath && }\n\n {fit && points.length > 2 && (() => {\n const fitPath = points\n .filter((p) => p.complexity >= fitStartComplexity)\n .map((p, i) => {\n const y = 1 + fit.predictFanoExcessFromLaneCount(p.laneCount);\n return `${i === 0 ? 'M' : 'L'} ${plot.xToPx(p.complexity)} ${plot.yToPx(y)}`;\n })\n .join(' ');\n return ;\n })()}\n\n {floorFit && points.length > 2 && (() => {\n const fitPath = points\n .filter((p) => p.complexity >= fitStartComplexity)\n .map((p, i) => {\n const y = 1 + floorFit.predictFanoExcessFromLaneCount(p.laneCount);\n return `${i === 0 ? 'M' : 'L'} ${plot.xToPx(p.complexity)} ${plot.yToPx(y)}`;\n })\n .join(' ');\n return ;\n })()}\n\n {points.map((p) => (\n \n \n \n \n ))}\n\n \n Complexity\n \n \n Fano Factor (Var / Mean, log scale)\n \n \n
\n\n \n
\n
Legend
\n
Blue: Lightlane Fano
\n
Yellow: Isotropic Fano
\n
Dashed orange: Fano = 1
\n
Dashed blue: power-fit extrapolation (blue excess over yellow)
\n
Dashed cyan: floor-aware fit (B + A×N^-α)
\n
\n\n
\n
Latest Point
\n {latest ? (\n <>\n
Complexity: {latest.complexity}
\n
Lanes: {latest.laneCount}
\n
Mean Ratio (B/Y): {(latest.meanBlue / Math.max(1e-9, latest.meanYellow)).toFixed(3)}
\n
Fano Blue: {latest.fanoBlue.toFixed(3)}
\n
Fano Yellow: {latest.fanoYellow.toFixed(3)}
\n
Excess (B-Y): {latest.fanoExcess.toFixed(3)}
\n
\n Aggregated over {samplesPerPoint.toLocaleString()} bins × {runsPerPoint} seeds\n
\n \n ) : (\n
No points yet.
\n )}\n
\n\n
\n
Power Fit
\n {fit ? (\n <>\n
\n Excess ≈ {fit.A.toExponential(2)} × N-{fit.alpha.toFixed(2)}\n
\n
\n Fit is on blue excess over yellow using lane count N, starting at complexity {fitStartComplexity}.\n
\n \n ) : (\n
Need more points with nonzero excess.
\n )}\n {floorFit && (\n
\n Floor fit: excess ≈ {floorFit.B.toFixed(3)} + {floorFit.A.toExponential(2)} × N-{floorFit.alpha.toFixed(2)}\n
\n )}\n
\n\n
\n
Indistinguishable Target
\n
\n Criterion: Fano Blue - Fano Yellow ≤ {targetExcess.toFixed(3)}\n
\n {indistinguishableEstimate ? (\n <>\n {indistinguishableEstimate.blockedByFloor ? (\n <>\n
\n Floor-aware fit predicts no finite crossing for this threshold.\n
\n
\n Fitted excess floor:{' '}\n \n {indistinguishableEstimate.floorExcess.toFixed(3)}\n \n
\n
\n Increase `Max Complexity` / `Samples`, or raise fit start to test whether the floor is a transient or a genuine plateau.\n
\n \n ) : (\n <>\n
\n Required lane count N (fit):{' '}\n \n {Math.round(indistinguishableEstimate.requiredLaneCount).toLocaleString()}\n \n
\n
\n Estimated complexity:{' '}\n \n {indistinguishableEstimate.complexityEstimate\n ? Math.ceil(indistinguishableEstimate.complexityEstimate.complexity).toLocaleString()\n : 'n/a'}\n \n {indistinguishableEstimate.complexityEstimate && (\n \n {' '}\n ({indistinguishableEstimate.complexityEstimate.mode === 'observed-range'\n ? 'interpolated from current sweep'\n : indistinguishableEstimate.complexityEstimate.mode === 'extrapolated'\n ? 'extrapolated'\n : 'bounded by current sweep'})\n \n )}\n
\n \n )}\n
\n {indistinguishableEstimate.measuredCrossing\n ? `Observed crossing already reached at complexity ${indistinguishableEstimate.measuredCrossing.complexity}.`\n : 'No observed crossing yet in current sweep; estimate uses fit.'}\n
\n \n ) : (\n
\n Need a stable excess fit (nonzero blue excess across multiple points).\n
\n )}\n
\n\n
\n Use Random Sphere to isolate discretization convergence from path bias.\n Orbit mode is still useful to show persistent anisotropy on specific trajectories.\n
\n For a stronger/cleaner claim in the video: report the threshold estimate together with bin size, sub-bin sampling, and runs/point.\n
\n
\n If the floor-aware fit stays above zero as you increase complexity and samples, frame it as an open question for viewers.\n
\n
\n
\n
\n
\n \n );\n}\n","import { useMemo, useRef } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { Color } from 'three';\nimport type { BufferGeometry, Points as ThreePoints, PointsMaterial } from 'three';\n\ntype SparklePoint = {\n speed: number;\n phase: number;\n minBrightness: number;\n maxBoost: number;\n};\n\nconst sparkleColor = new Color('#dbeafe');\n\nfunction createSparkleField(radius: number, count: number) {\n const positions = new Float32Array(count * 3);\n const colors = new Float32Array(count * 3);\n const sparklePoints: SparklePoint[] = [];\n const shellRadius = radius + 0.01;\n\n for (let index = 0; index < count; index += 1) {\n const u = Math.random();\n const v = Math.random();\n const theta = 2 * Math.PI * u;\n const z = 1 - 2 * v;\n const radial = Math.sqrt(Math.max(0, 1 - z * z));\n const offset = index * 3;\n\n positions[offset] = shellRadius * radial * Math.cos(theta);\n positions[offset + 1] = shellRadius * radial * Math.sin(theta);\n positions[offset + 2] = shellRadius * z;\n\n colors[offset] = sparkleColor.r * 0.15;\n colors[offset + 1] = sparkleColor.g * 0.15;\n colors[offset + 2] = sparkleColor.b * 0.15;\n\n sparklePoints.push({\n speed: 0.8 + Math.random() * 2.6,\n phase: Math.random() * Math.PI * 2,\n minBrightness: 0.03 + Math.random() * 0.06,\n maxBoost: 0.35 + Math.random() * 0.85,\n });\n }\n\n return { positions, colors, sparklePoints };\n}\n\nexport function PoissonShell({ radius }: { radius: number }) {\n const sparkleRef = useRef>(null);\n const sparkleCount = 16000;\n const { positions, colors, sparklePoints } = useMemo(\n () => createSparkleField(radius, sparkleCount),\n [radius]\n );\n\n useFrame(({ clock }) => {\n const sparkleCloud = sparkleRef.current;\n if (!sparkleCloud) return;\n\n const colorAttribute = sparkleCloud.geometry.getAttribute('color');\n if (!colorAttribute) return;\n\n const time = clock.getElapsedTime();\n const colorArray = colorAttribute.array as Float32Array;\n\n for (let index = 0; index < sparklePoints.length; index += 1) {\n const point = sparklePoints[index];\n const pulse = Math.pow(Math.max(0, Math.sin(time * point.speed + point.phase)), 24);\n const intensity = point.minBrightness + pulse * point.maxBoost;\n const offset = index * 3;\n\n colorArray[offset] = sparkleColor.r * intensity;\n colorArray[offset + 1] = sparkleColor.g * intensity;\n colorArray[offset + 2] = sparkleColor.b * intensity;\n }\n\n colorAttribute.needsUpdate = true;\n });\n\n return (\n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n \n );\n}\n","import { useRef } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { MeshStandardMaterial } from 'three';\n\ninterface PulsingSphereProps {\n radius: number;\n paused?: boolean;\n}\n\nexport function PulsingSphere({ radius, paused = false }: PulsingSphereProps) {\n const materialRef = useRef(null);\n\n useFrame((state) => {\n if (paused) return;\n if (materialRef.current) {\n // Pulse emissive intensity between 0.5 and 2.0\n // Sine wave from -1 to 1 -> mapped to 0.5 to 2.0\n // (sin + 1) / 2 is 0 to 1.\n // 0.5 + (0 -> 1) * 1.5 = 0.5 to 2.0\n const t = state.clock.elapsedTime * 3; // Speed\n const intensity = 0.5 + ((Math.sin(t) + 1) / 2) * 1.5;\n materialRef.current.emissiveIntensity = intensity;\n }\n });\n\n return (\n \n \n \n \n );\n}\n","import { useRef, type MutableRefObject } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport * as THREE from 'three';\n\nfunction reflectPolarTheta(theta: number): number {\n const twoPi = 2 * Math.PI;\n let t = theta % twoPi;\n if (t < 0) t += twoPi;\n if (t > Math.PI) t = twoPi - t;\n return t;\n}\n\ninterface OrbitingObjectProps {\n radius: number; // This corresponds to 'distance' from center\n theta: number; // Polar angle (0 to PI)\n phi: number; // Azimuthal angle (0 to 2PI)\n orbitTime: MutableRefObject; // Accumulated orbit time ref\n simTime?: MutableRefObject;\n thetaDrift?: number;\n paused?: boolean;\n}\n\nexport function OrbitingObject({ radius, theta, phi, orbitTime, simTime, thetaDrift = 0, paused = false }: OrbitingObjectProps) {\n const groupRef = useRef(null);\n\n useFrame(() => {\n if (paused) return;\n if (groupRef.current) {\n // Calculate position using spherical coordinates\n // Three.js uses Y-up, so usually:\n // Use passed accumulated time from ref\n const currentPhi = phi + orbitTime.current;\n const currentTheta = reflectPolarTheta(theta + (simTime?.current ?? 0) * thetaDrift);\n\n const x = radius * Math.sin(currentTheta) * Math.cos(currentPhi);\n const y = radius * Math.cos(currentTheta);\n const z = radius * Math.sin(currentTheta) * Math.sin(currentPhi);\n\n groupRef.current.position.set(x, y, z);\n\n // Orient towards center\n groupRef.current.lookAt(0, 0, 0);\n }\n });\n\n return (\n \n {/* Sampling point cue (engine uses the group origin as the camera/sample position) */}\n \n \n \n \n \n \n \n \n\n {/* Main Body - Cylindrical Telescope - Aligned to Z axis */}\n \n \n \n \n\n {/* Short forward octagonal gold collar */}\n \n \n \n \n\n {/* Front Aperture - Wider - At +Z end */}\n \n \n \n \n {/* Aperture center cue for visual alignment checks */}\n \n \n \n \n {/* Local +Z axis cue (helps spot orientation / offset issues) */}\n \n \n \n \n\n {/* Solar Panels - shifted forward toward the star-facing end */}\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n );\n}\n","/* eslint-disable @typescript-eslint/no-unused-vars */\n\nimport { useState, useMemo, useRef, useEffect } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { Html } from '@react-three/drei';\n\nimport { createSamplingSimulation, lambdaIsotropicForGeometry } from './lightlane-engine.js';\nimport { SOUND_IDS, safePlaySound } from '../hostBridge';\nimport type { GlitchHostBridge, SceneViewMode } from '../types';\n\n// Flying bar animation component\ninterface FlyingBar {\n id: number;\n value: number;\n startBottom: number; // Distance from bottom of viewport\n startLeft: number; // Distance from left of viewport\n barHeight: number;\n barWidth: number;\n targetLeft: number; // Target X position in distribution\n targetTop: number; // Target Y position (from top of viewport)\n color: string;\n type: 'observed' | 'theory';\n}\n\nconst poissonPalette = {\n solid: '#60a5fa',\n dark: '#3b82f6',\n light: '#93c5fd',\n glow: 'rgba(96,165,250,0.5)',\n panel: 'rgba(0,20,40,0.8)',\n};\n\nconst lightlanePalette = {\n solid: '#fbbf24',\n dark: '#f59e0b',\n light: '#fef3c7',\n glow: 'rgba(251,191,36,0.5)',\n panel: 'rgba(40,20,0,0.8)',\n};\n\nconst headlineFont = 'var(--font-headline)';\nconst uiFont = 'var(--font-ui)';\nconst terminalGreen = 'var(--terminal-green)';\nconst terminalGreenSoft = 'var(--terminal-green-soft)';\nconst terminalGreenMuted = 'var(--terminal-green-muted)';\n\nfunction FlyingBars({ bars }: { bars: FlyingBar[] }) {\n const screenHeight = window.innerHeight;\n // const screenWidth = window.innerWidth;\n\n return (\n <>\n {bars.map((bar) => {\n // Convert bottom to top positioning\n // startBottom is distance from bottom, so top = screenHeight - startBottom - barHeight\n const startTop = screenHeight - bar.startBottom - bar.barHeight;\n\n const deltaX = bar.targetLeft - bar.startLeft;\n const deltaY = bar.targetTop - startTop; // negative = move up\n\n return (\n \n );\n })}\n \n \n );\n}\n\ninterface RunningMoments {\n n: number;\n meanObs: number;\n m2Obs: number;\n meanIso: number;\n m2Iso: number;\n}\n\nfunction createEmptyMoments(): RunningMoments {\n return { n: 0, meanObs: 0, m2Obs: 0, meanIso: 0, m2Iso: 0 };\n}\n\nfunction updateMoments(m: RunningMoments, observed: number, isotropic: number): RunningMoments {\n const nextN = m.n + 1;\n\n const deltaObs = observed - m.meanObs;\n const meanObs = m.meanObs + deltaObs / nextN;\n const m2Obs = m.m2Obs + deltaObs * (observed - meanObs);\n\n const deltaIso = isotropic - m.meanIso;\n const meanIso = m.meanIso + deltaIso / nextN;\n const m2Iso = m.m2Iso + deltaIso * (isotropic - meanIso);\n\n return { n: nextN, meanObs, m2Obs, meanIso, m2Iso };\n}\n\ninterface SamplingSystemProps {\n complexity: number;\n radius: number; // Lightlane radius (collision threshold)\n distance: number; // Visual lightlane cylinder length\n theta: number;\n phi: number;\n observationMode: 'orbit' | 'randomSphere';\n allSectors: boolean;\n cumulative: boolean;\n K: number; // Poisson constant\n orbitRadius: number; // Satellite orbit radius\n orbitVelocity: number;\n thetaDrift: number;\n thetaJitter: number;\n phiJitter: number;\n usePoisson: boolean;\n speedup: number; // Time speedup factor\n paused: boolean;\n sceneView: SceneViewMode;\n bottomInset?: number;\n showNumericDiagnostics?: boolean;\n compactNumericDiagnostics?: boolean;\n host?: GlitchHostBridge;\n centerDistribution?: boolean;\n hideFlyingBars?: boolean;\n}\n\nexport function SamplingSystem({\n complexity,\n radius,\n distance,\n theta,\n phi,\n observationMode,\n allSectors,\n cumulative,\n K,\n orbitRadius,\n orbitVelocity,\n thetaDrift,\n thetaJitter,\n phiJitter,\n usePoisson,\n speedup,\n paused,\n sceneView,\n bottomInset = 0,\n showNumericDiagnostics = true,\n compactNumericDiagnostics = false,\n host,\n centerDistribution = false,\n hideFlyingBars = false\n}: SamplingSystemProps) {\n const [stats, setStats] = useState({\n current: 0,\n total: 0,\n lastCheck: 0,\n overlaps: 0,\n currentTheory: 0,\n binOverlapsMean: 0,\n currentExpectedLightlane: 0\n });\n const subBinSamples = 4;\n const simulator = useMemo(() => createSamplingSimulation({\n D: orbitRadius,\n theta,\n phi,\n observationMode,\n velocity: orbitVelocity,\n thetaDrift,\n thetaJitter,\n phiJitter,\n distance,\n hitTestModel: 'segment',\n bin_size: 1,\n complexity,\n sub_bin_sampling: subBinSamples,\n flux: K,\n lane_radius: radius,\n allSectors,\n cumulative,\n usePoisson\n }), [orbitRadius, theta, phi, observationMode, orbitVelocity, thetaDrift, thetaJitter, phiJitter, complexity, K, radius, distance, allSectors, cumulative, usePoisson]);\n\n // Fixed size buffer for display\n const bufferSize = 60;\n const historyRef = useRef(new Array(bufferSize).fill(-1));\n const historyTheoryRef = useRef(new Array(bufferSize).fill(-1));\n const currentIndexRef = useRef(0);\n const [history, setHistory] = useState(new Array(bufferSize).fill(-1));\n const [historyTheory, setHistoryTheory] = useState(new Array(bufferSize).fill(-1));\n\n // Calculate expected lambda (mean) from theory: K * r² / (4 * d²)\n const lambdaMean = lambdaIsotropicForGeometry({\n flux: K,\n D: orbitRadius,\n lane_radius: radius,\n dt: 1,\n hitTestModel: 'segment',\n lane_length: distance\n });\n const lambdaStdDev = Math.sqrt(lambdaMean);\n\n // Distribution binning:\n // - Poisson mode: integer-aligned bins (one photon count per bin) to avoid quantization artifacts\n // - Deterministic mode: coarse continuous bins for readability\n const distributionBinsContinuous = 15;\n const binRangeHalf = 4 * lambdaStdDev;\n const binMin = Math.max(0, lambdaMean - binRangeHalf);\n const binMax = lambdaMean + binRangeHalf;\n const useDiscreteCountBins = usePoisson;\n const discreteBinMin = Math.max(0, Math.floor(binMin));\n const discreteBinMax = Math.max(discreteBinMin, Math.ceil(binMax));\n const distributionBins = useDiscreteCountBins\n ? (discreteBinMax - discreteBinMin + 1)\n : distributionBinsContinuous;\n const binWidth = useDiscreteCountBins\n ? 1\n : Math.max(1e-9, (binMax - binMin) / distributionBinsContinuous);\n\n // Helper to convert a count value to a bin index\n const valueToBinIndex = (value: number): number => {\n if (useDiscreteCountBins) {\n const k = Math.round(value);\n if (k <= discreteBinMin) return 0;\n if (k >= discreteBinMax) return distributionBins - 1;\n return k - discreteBinMin;\n }\n\n if (value < binMin) return 0;\n if (value >= binMax) return distributionBins - 1;\n return Math.floor((value - binMin) / binWidth);\n };\n\n // Helper to get the center value of a bin (for display)\n const binIndexToValue = (index: number): number => {\n if (useDiscreteCountBins) return discreteBinMin + index;\n return binMin + (index + 0.5) * binWidth;\n };\n\n const [distributionObserved, setDistributionObserved] = useState(new Array(distributionBins).fill(0));\n const [distributionTheory, setDistributionTheory] = useState(new Array(distributionBins).fill(0));\n\n // Track which bars have been unfastened (clicked)\n const [unfastenedObserved, setUnfastenedObserved] = useState>(new Set());\n const [unfastenedTheory, setUnfastenedTheory] = useState>(new Set());\n\n // Flying bars state\n const [flyingBars, setFlyingBars] = useState([]);\n const flyingBarIdRef = useRef(0);\n const summaryRef = useRef(createEmptyMoments());\n const [summary, setSummary] = useState(createEmptyMoments());\n const pausedRef = useRef(paused);\n const lastBarSoundAtRef = useRef(0);\n\n // Reset all counting when complexity or mean-affecting parameters change\n // (K, radius, orbitRadius affect lambdaMean which determines bin ranges)\n useEffect(() => {\n // Reset distribution histograms\n setDistributionObserved(new Array(distributionBins).fill(0));\n setDistributionTheory(new Array(distributionBins).fill(0));\n\n // Reset periodogram buffers\n historyRef.current.fill(-1);\n historyTheoryRef.current.fill(-1);\n currentIndexRef.current = 0;\n setHistory(new Array(bufferSize).fill(-1));\n setHistoryTheory(new Array(bufferSize).fill(-1));\n\n // Reset unfastened tracking\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n\n // Clear flying bars\n setFlyingBars([]);\n summaryRef.current = createEmptyMoments();\n setSummary(createEmptyMoments());\n setStats({\n current: 0,\n total: 0,\n lastCheck: 0,\n overlaps: 0,\n currentTheory: 0,\n binOverlapsMean: 0,\n currentExpectedLightlane: 0\n });\n }, [complexity, K, radius, distance, orbitRadius, theta, phi, observationMode, orbitVelocity, thetaDrift, thetaJitter, phiJitter, allSectors, cumulative, usePoisson, distributionBins]);\n\n const ingestBins = (bins: Array<{\n lightlane: number;\n isotropic: number;\n overlapsMean: number;\n lambdaLightlaneExpected: number;\n }>, lastLaneCount: number) => {\n if (bins.length === 0) return;\n\n let totalObservedAdded = 0;\n let lastObserved = 0;\n let lastTheory = 0;\n let lastBinOverlapsMean = stats.binOverlapsMean;\n let lastExpectedLightlane = stats.currentExpectedLightlane;\n let nextSummary = summaryRef.current;\n\n for (const bin of bins) {\n const observed = bin.lightlane;\n const observedTheory = bin.isotropic;\n totalObservedAdded += observed;\n lastObserved = observed;\n lastTheory = observedTheory;\n lastBinOverlapsMean = bin.overlapsMean;\n lastExpectedLightlane = bin.lambdaLightlaneExpected;\n nextSummary = updateMoments(nextSummary, observed, observedTheory);\n\n historyRef.current[currentIndexRef.current] = observed;\n historyTheoryRef.current[currentIndexRef.current] = observedTheory;\n currentIndexRef.current++;\n\n if (currentIndexRef.current >= bufferSize) {\n const currentMaxVal = Math.max(10, ...historyRef.current.filter(v => v >= 0), ...historyTheoryRef.current.filter(v => v >= 0));\n autoAccumulateRow([...historyRef.current], [...historyTheoryRef.current], currentMaxVal);\n\n historyRef.current.fill(-1);\n historyTheoryRef.current.fill(-1);\n currentIndexRef.current = 0;\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n }\n }\n summaryRef.current = nextSummary;\n\n setStats(prev => ({\n current: lastObserved,\n total: prev.total + totalObservedAdded,\n lastCheck: Date.now(),\n overlaps: lastLaneCount,\n currentTheory: lastTheory,\n binOverlapsMean: lastBinOverlapsMean,\n currentExpectedLightlane: lastExpectedLightlane\n }));\n setSummary(nextSummary);\n setHistory([...historyRef.current]);\n setHistoryTheory([...historyTheoryRef.current]);\n };\n\n // Swipe state for unfastening multiple bars\n const isDraggingRef = useRef(false);\n const dragTypeRef = useRef<'observed' | 'theory' | null>(null);\n\n // Handle swipe/drag to unfasten multiple bars\n const handlePointerDown = (e: React.PointerEvent, type: 'observed' | 'theory') => {\n e.stopPropagation();\n isDraggingRef.current = true;\n dragTypeRef.current = type;\n (e.target as HTMLElement).setPointerCapture(e.pointerId);\n safePlaySound(host, SOUND_IDS.click, { target: `${type}-periodogram`, action: 'pointer-down' });\n };\n\n const handlePointerMove = (e: React.PointerEvent, type: 'observed' | 'theory', historyData: number[], maxValue: number) => {\n if (!isDraggingRef.current || dragTypeRef.current !== type) return;\n e.stopPropagation();\n\n // Calculate which bar index we're over\n const rect = (e.currentTarget as HTMLElement).getBoundingClientRect();\n const x = e.clientX - rect.left;\n const barIndex = Math.floor((x / rect.width) * bufferSize);\n\n if (barIndex >= 0 && barIndex < bufferSize) {\n const val = historyData[barIndex];\n const isUnfastened = type === 'observed' ? unfastenedObserved.has(barIndex) : unfastenedTheory.has(barIndex);\n if (val >= 0 && !isUnfastened) {\n handleBarClick(barIndex, val, type, maxValue);\n }\n }\n };\n\n const handlePointerUp = (e: React.PointerEvent) => {\n e.stopPropagation();\n isDraggingRef.current = false;\n dragTypeRef.current = null;\n };\n\n // Calculate bar dimensions for flying animation\n const getBarDimensions = (index: number, value: number, type: 'observed' | 'theory', maxValue: number) => {\n const screenWidth = window.innerWidth;\n // const screenHeight = window.innerHeight;\n\n // Starting X position: (index / bufferSize) * screenWidth\n const startLeft = (index / bufferSize) * screenWidth;\n\n // Bar width\n const barWidth = screenWidth / bufferSize;\n\n // Bar height based on value\n const barHeight = Math.max(2, (value / maxValue) * 80);\n\n // Starting position from BOTTOM of viewport\n // Observed histogram: 100px container at very bottom with 20px padding\n // Theory histogram: 100px container above observed with 5px padding\n // Bars are aligned to bottom of their containers\n const observedBottom = 25; // within observed container\n const theoryBottom = 110; // within theory container (100px + some padding)\n const startBottom = type === 'observed' ? observedBottom : theoryBottom;\n\n // Bin index using the centered distribution mapping\n const binIndex = valueToBinIndex(value);\n\n // Target X position: place at the bin's visual position in the distribution histogram\n // The histogram spans the full width with distributionBins bins\n // Account for padding (20px on each side)\n const histogramPadding = 20;\n const histogramWidth = screenWidth - (2 * histogramPadding);\n const targetLeft = histogramPadding + ((binIndex + 0.5) / distributionBins) * histogramWidth;\n\n // Target Y position (from TOP of viewport) - aim for distribution area\n const targetTop = 150;\n\n return { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex };\n };\n\n // Handle clicking on a bar to unfasten it\n const handleBarClick = (index: number, value: number, type: 'observed' | 'theory', maxValue: number) => {\n if (value < 0) return; // Don't unfasten empty slots\n\n const now = Date.now();\n if (now - lastBarSoundAtRef.current >= 45) {\n lastBarSoundAtRef.current = now;\n safePlaySound(host, SOUND_IDS.computeStep, { target: `${type}-periodogram`, value });\n }\n\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop } = getBarDimensions(index, value, type, maxValue);\n\n // Create flying bar\n const newBar: FlyingBar = {\n id: flyingBarIdRef.current++,\n value,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: type === 'observed' ? lightlanePalette.solid : poissonPalette.solid,\n type\n };\n\n setFlyingBars(prev => [...prev, newBar]);\n\n // Mark bar as unfastened\n if (type === 'observed') {\n setUnfastenedObserved(prev => new Set(prev).add(index));\n // Update distribution using centered binning\n setDistributionObserved(prev => {\n const newDist = [...prev];\n const binIdx = valueToBinIndex(value);\n newDist[binIdx]++;\n return newDist;\n });\n } else {\n setUnfastenedTheory(prev => new Set(prev).add(index));\n // Update distribution using centered binning\n setDistributionTheory(prev => {\n const newDist = [...prev];\n const binIdx = valueToBinIndex(value);\n newDist[binIdx]++;\n return newDist;\n });\n }\n };\n\n // Auto-accumulate entire row when buffer fills\n const autoAccumulateRow = (historyData: number[], theoryData: number[], maxValue: number) => {\n const newFlyingBars: FlyingBar[] = [];\n const newDistObserved = [...distributionObserved];\n const newDistTheory = [...distributionTheory];\n\n // Process observed bars\n historyData.forEach((val, i) => {\n if (val >= 0) {\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex } = getBarDimensions(i, val, 'observed', maxValue);\n newFlyingBars.push({\n id: flyingBarIdRef.current++,\n value: val,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: lightlanePalette.solid,\n type: 'observed'\n });\n newDistObserved[binIndex]++;\n }\n });\n\n // Process theory bars\n theoryData.forEach((val, i) => {\n if (val >= 0) {\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex } = getBarDimensions(i, val, 'theory', maxValue);\n newFlyingBars.push({\n id: flyingBarIdRef.current++,\n value: val,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: poissonPalette.solid,\n type: 'theory'\n });\n newDistTheory[binIndex]++;\n }\n });\n\n setFlyingBars(prev => [...prev, ...newFlyingBars]);\n setDistributionObserved(newDistObserved);\n setDistributionTheory(newDistTheory);\n };\n\n // Clean up flying bars after animation completes\n useEffect(() => {\n if (flyingBars.length > 0) {\n const timer = setTimeout(() => {\n setFlyingBars([]);\n }, 1300); // Clear after animation duration (1.2s) + buffer\n return () => clearTimeout(timer);\n }\n }, [flyingBars.length]); // Only trigger on length change to avoid infinite loops\n\n // Reset unfastened state when buffer resets\n const prevIndexRef = useRef(0);\n useEffect(() => {\n if (currentIndexRef.current < prevIndexRef.current) {\n // Buffer was reset\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n }\n prevIndexRef.current = currentIndexRef.current;\n });\n useEffect(() => {\n const wasPaused = pausedRef.current;\n pausedRef.current = paused;\n if (!paused || wasPaused) return;\n\n const flushed = simulator.flushPartialBin();\n if (flushed) {\n ingestBins([flushed], flushed.overlaps);\n }\n }, [paused, simulator]);\n\n useFrame((_, delta) => {\n if (paused) return;\n const step = simulator.simulate(delta * speedup);\n\n if (step.subBinEvents > 0) {\n setStats(prev => ({ ...prev, overlaps: step.lastLaneCount }));\n }\n\n ingestBins(step.bins, step.lastLaneCount);\n });\n\n // Calculate max ignoring -1 placeholders\n const validValues = history.filter(v => v >= 0);\n const validValuesTheory = historyTheory.filter(v => v >= 0);\n const maxValLightlane = Math.max(10, Math.max(0, ...validValues));\n const maxValPoisson = Math.max(10, Math.max(0, ...validValuesTheory));\n // Distribution max for scaling\n const maxDistribution = Math.max(1, ...distributionObserved, ...distributionTheory);\n const observedVariance = summary.n > 1 ? summary.m2Obs / (summary.n - 1) : 0;\n const isotropicVariance = summary.n > 1 ? summary.m2Iso / (summary.n - 1) : 0;\n const meanRatio = summary.meanIso > 0 ? summary.meanObs / summary.meanIso : 0;\n const varianceRatio = isotropicVariance > 0 ? observedVariance / isotropicVariance : 0;\n const fanoObserved = summary.meanObs > 0 ? observedVariance / summary.meanObs : 0;\n const fanoIsotropic = summary.meanIso > 0 ? isotropicVariance / summary.meanIso : 0;\n const laneCount = simulator.getLaneCount();\n const lcIsoTarget = laneCount > 0 && K > 0 ? (laneCount * lambdaMean) / K : 0;\n const renderNumericInline = showNumericDiagnostics && !compactNumericDiagnostics;\n const showPoissonView = sceneView !== 'lightlane';\n const showLightlaneView = sceneView !== 'poisson';\n const visibleFlyingBars = flyingBars.filter((bar) => (\n (bar.type === 'theory' && showPoissonView) || (bar.type === 'observed' && showLightlaneView)\n ));\n const distributionTitle = sceneView === 'poisson'\n ? 'Shot Noise Distribution'\n : sceneView === 'lightlane'\n ? 'Shot Noise + Lightlane'\n : 'Head to Head';\n\n const metricCardBase: React.CSSProperties = {\n background: 'rgba(255,255,255,0.04)',\n border: '1px solid var(--terminal-panel-border)',\n borderRadius: '6px',\n padding: '6px 8px',\n fontFamily: uiFont\n };\n\n const numericCards = (\n
\n
\n
Samples
\n
{summary.n}
\n
\n
\n
Mean Ratio (Lightlane/Poisson)
\n
{summary.n > 0 ? meanRatio.toFixed(3) : 'n/a'}
\n
\n
\n
Var Ratio (Lightlane/Poisson)
\n
1.1 ? lightlanePalette.light : poissonPalette.light }}>\n {summary.n > 1 ? varianceRatio.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Lightlane
\n
\n {summary.n > 1 ? fanoObserved.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Poisson
\n
\n {summary.n > 1 ? fanoIsotropic.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Ratio (Lightlane/Poisson)
\n
0 && fanoObserved / fanoIsotropic > 1.05 ? lightlanePalette.light : terminalGreenSoft }}>\n {summary.n > 1 && fanoIsotropic > 0 ? (fanoObserved / fanoIsotropic).toFixed(3) : 'n/a'}\n
\n
\n
\n );\n\n const numericContext = (\n
\n LC(now): {stats.overlaps}\n LC(bin avg): {stats.binOverlapsMean.toFixed(2)}\n LC iso target: {Number.isFinite(lcIsoTarget) ? lcIsoTarget.toFixed(2) : 'n/a'}\n E[Lightlane|bin]: {stats.currentExpectedLightlane.toFixed(2)}\n Lightlane(last): {typeof stats.current === 'number' ? Number(stats.current).toFixed(2) : stats.current}\n Lanes: {laneCount}\n Mode: {observationMode === 'randomSphere' ? 'Random Sphere' : 'Orbit'}\n theta drift: {thetaDrift.toFixed(3)}\n theta jitter: {thetaJitter.toFixed(3)}\n phi jitter: {phiJitter.toFixed(3)}\n
\n );\n\n return (\n <>\n {/* Flying bars animation */}\n {!hideFlyingBars && (\n \n \n \n )}\n\n {/* Distribution Histogram at Top */}\n \n
\n {distributionTitle}\n \n (λ = {lambdaMean.toFixed(1)}, σ = {lambdaStdDev.toFixed(1)})\n \n
\n
\n {/* Y-axis label */}\n
\n ← Frequency (how many)\n
\n
\n {distributionObserved.map((count, i) => {\n const theoryCount = distributionTheory[i];\n const obsHeight = (count / maxDistribution) * 100;\n const theoryHeight = (theoryCount / maxDistribution) * 100;\n\n return (\n
\n
\n {showPoissonView && (\n
0 ? '2px' : '0',\n transition: 'height 0.3s ease',\n boxShadow: theoryCount > 0 ? `0 0 5px ${poissonPalette.glow}` : 'none',\n position: 'relative'\n }}>\n {theoryCount > 0 && (\n
\n {theoryCount}\n
\n )}\n
\n )}\n {showLightlaneView && (\n
0 ? '2px' : '0',\n transition: 'height 0.3s ease',\n boxShadow: count > 0 ? `0 0 5px ${lightlanePalette.glow}` : 'none',\n position: 'relative'\n }}>\n {count > 0 && (\n
\n {count}\n
\n )}\n
\n )}\n
\n {/* Bin label (photon count value - center of bin) */}\n
\n {binIndexToValue(i).toFixed(0)}\n
\n
\n );\n })}\n
\n {/* X-axis label */}\n
\n Photon Count Value →\n
\n
\n {showPoissonView && (\n
\n
\n Theory (Poisson)\n
\n )}\n {showLightlaneView && (\n
\n
\n Observed (Lightlanes)\n
\n )}\n
\n {renderNumericInline && numericCards}\n {renderNumericInline && numericContext}\n
\n \n\n {showNumericDiagnostics && compactNumericDiagnostics && (\n \n
\n
\n Diagnostics\n
\n {numericCards}\n {numericContext}\n
\n \n )}\n\n {/* Periodogram Histograms at Bottom of Screen */}\n \n {showPoissonView && (\n handlePointerDown(e, 'theory')}\n onPointerMove={(e) => handlePointerMove(e, 'theory', historyTheory, maxValPoisson)}\n onPointerUp={handlePointerUp}\n onPointerLeave={handlePointerUp}\n style={{\n width: '100%',\n height: '100px',\n background: `linear-gradient(to top, ${poissonPalette.panel}, transparent)`,\n display: 'flex',\n alignItems: 'flex-end',\n padding: showLightlaneView ? '0 20px 5px 20px' : '0 20px 20px 20px',\n gap: '2px',\n position: 'relative',\n borderBottom: showLightlaneView ? '1px solid #555' : 'none',\n pointerEvents: 'auto',\n touchAction: 'none',\n cursor: 'crosshair'\n }}\n >\n
\n THEORY (Poisson) - Swipe or click to count\n
\n {historyTheory.map((val, i) => {\n const isUnfastened = unfastenedTheory.has(i);\n return (\n = 0 && !isUnfastened ? 'clickable-bar' : ''}\n style={{\n flex: 1,\n height: val >= 0 && !isUnfastened ? `${(val / maxValPoisson) * 100}%` : '0',\n background: val === 0 ? 'rgba(255,255,255,0.1)' : poissonPalette.solid,\n color: poissonPalette.solid,\n minHeight: val >= 0 && !isUnfastened ? '1px' : '0',\n transition: 'all 0.3s ease',\n opacity: isUnfastened ? 0 : 0.8,\n borderRadius: '2px 2px 0 0',\n transform: isUnfastened ? 'scale(0)' : 'scale(1)',\n pointerEvents: 'none',\n }}\n />\n );\n })}\n
\n Max: {maxValPoisson}\n
\n
\n )}\n\n {showLightlaneView && (\n handlePointerDown(e, 'observed')}\n onPointerMove={(e) => handlePointerMove(e, 'observed', history, maxValLightlane)}\n onPointerUp={handlePointerUp}\n onPointerLeave={handlePointerUp}\n style={{\n width: '100%',\n height: '100px',\n background: 'linear-gradient(to top, rgba(0,0,0,0.8), transparent)',\n display: 'flex',\n alignItems: 'flex-end',\n padding: '0 20px 20px 20px',\n gap: '2px',\n position: 'relative',\n pointerEvents: 'auto',\n touchAction: 'none',\n cursor: 'crosshair'\n }}\n >\n
\n OBSERVED (Lightlanes) - Swipe or click to count\n
\n {history.map((val, i) => {\n const isUnfastened = unfastenedObserved.has(i);\n return (\n = 0 && !isUnfastened ? 'clickable-bar' : ''}\n style={{\n flex: 1,\n height: val >= 0 && !isUnfastened ? `${(val / maxValLightlane) * 100}%` : '0',\n background: val === 0 ? 'rgba(255,255,255,0.1)' : (val > 0 ? lightlanePalette.solid : 'transparent'),\n color: lightlanePalette.solid,\n minHeight: val >= 0 && !isUnfastened ? '2px' : '0',\n transition: 'all 0.3s ease',\n borderTop: val >= 0 && !isUnfastened ? `2px solid ${lightlanePalette.light}` : 'none',\n opacity: isUnfastened ? 0 : 0.8,\n position: 'relative',\n borderRadius: '2px 2px 0 0',\n transform: isUnfastened ? 'scale(0)' : 'scale(1)',\n pointerEvents: 'none',\n }}\n >\n {(i + 1) % 5 === 0 && !isUnfastened && (\n
\n {i + 1}\n
\n )}\n
\n );\n })}\n
\n Max: {maxValLightlane}\n
\n
\n )}\n \n \n );\n}\n","\nexport type SceneViewMode = 'both' | 'poisson' | 'lightlane';\n\nexport interface LightlaneProps {\n complexity?: number;\n radius?: number;\n distance?: number;\n chandraDistance?: number;\n showAxes?: boolean;\n lightlanes?: boolean;\n allSectors?: boolean;\n cumulative?: boolean;\n phi?: number;\n theta?: number;\n observationMode?: 'orbit' | 'randomSphere';\n orbitSpeed?: number;\n thetaDrift?: number;\n thetaJitter?: number;\n phiJitter?: number;\n speedup?: number;\n K?: number;\n usePoisson?: boolean;\n sceneView?: SceneViewMode;\n hideScenePresentation?: boolean;\n hideFlyingBars?: boolean;\n hideDataBoxes?: boolean;\n}\n\nexport const defaultProps: Required = {\n complexity: 1,\n radius: 2,\n distance: 5,\n chandraDistance: 6,\n showAxes: false, // Cleaner look for challenge\n lightlanes: true, // Always show lightlanes\n allSectors: true,\n cumulative: false,\n phi: 0,\n theta: Math.PI / 2,\n observationMode: 'orbit',\n orbitSpeed: 0.2,\n thetaDrift: 0,\n thetaJitter: 0,\n phiJitter: 0,\n speedup: 1,\n K: 1000,\n usePoisson: true,\n sceneView: 'both',\n hideScenePresentation: false,\n hideFlyingBars: false,\n hideDataBoxes: false\n};\n\nexport interface GlitchComponentConfig {\n id: string;\n name: string;\n version: string;\n params: Record;\n}\n\nexport interface GlitchHostBridge {\n playSound?: (id: string, payload?: Record) => void;\n stopSound?: (id: string, payload?: Record) => void;\n emit?: (type: string, payload?: unknown) => void;\n}\n\nexport interface GlitchTheme {\n primary: string; // #6366f1\n accent: string; // #22d3ee\n bg: string; // #0a0a0f\n bgSecondary: string; // #12121a\n text: string; // #e8e8ec\n textMuted: string; // #9999a8\n border: string; // #2a2a3a\n}\n\nexport interface GlitchComponentResult {\n success: boolean;\n score?: number;\n data?: unknown;\n error?: string;\n}\n\nexport interface GlitchComponentProps {\n config: GlitchComponentConfig;\n onComplete: (result: GlitchComponentResult) => void;\n onProgress?: (percent: number) => void;\n theme?: GlitchTheme;\n className?: string;\n host?: GlitchHostBridge;\n}\n\nexport interface ParamSchema {\n [key: string]: {\n type: 'number' | 'string' | 'boolean' | 'color' | 'select' | 'range';\n label?: string;\n description?: string;\n default: unknown;\n options?: { value: string | number; label: string }[];\n min?: number;\n max?: number;\n step?: number;\n };\n}\n\nexport interface GlitchComponentMetadata {\n name: string;\n displayName: string;\n version: string;\n paramSchema: ParamSchema;\n defaultParams: Record;\n}\n","import { useEffect, useRef, useState } from 'react'\nimport { useFrame } from '@react-three/fiber'\nimport { Grid, Html } from '@react-three/drei'\nimport { DiophantineVectors } from './components/DiophantineVectors'\nimport { FanoSweepPanel } from './components/FanoSweepPanel'\nimport { PoissonShell } from './components/PoissonShell'\nimport { PulsingSphere } from './components/PulsingSphere'\nimport { OrbitingObject } from './components/OrbitingObject'\nimport { SamplingSystem } from './components/SamplingSystem'\nimport { SOUND_IDS, safePlaySound } from './hostBridge'\nimport { type GlitchComponentProps, type LightlaneProps, type SceneViewMode, defaultProps as internalDefaults } from './types'\n\ntype ComponentDevUiOverrides = {\n showNumericDiagnostics?: boolean;\n compactNumericDiagnostics?: boolean;\n onOpenHarness?: () => void;\n onSetParam?: (name: 'complexity' | 'speedup', value: number) => void;\n maxComplexity?: number;\n maxSpeedup?: number;\n};\n\ntype ComponentProps = GlitchComponentProps & {\n devUi?: ComponentDevUiOverrides;\n};\n\nexport default function Component(props: ComponentProps) {\n const host = props.host;\n const compactNumericDiagnostics = props.devUi?.compactNumericDiagnostics ?? false;\n const maxComplexity = props.devUi?.maxComplexity ?? 20;\n const maxSpeedup = props.devUi?.maxSpeedup ?? 240;\n const bottomMenuHeight = 74;\n const cycleLevelCount = 20;\n\n // Extract params from config\n const params = props.config?.params || {};\n\n // Merge props with defaults, casting params to LightlaneProps\n const {\n complexity,\n radius,\n distance,\n chandraDistance,\n showAxes,\n lightlanes,\n allSectors,\n cumulative,\n phi,\n theta,\n observationMode,\n orbitSpeed,\n thetaDrift,\n thetaJitter,\n phiJitter,\n speedup,\n K,\n usePoisson,\n sceneView: configuredSceneView,\n hideScenePresentation,\n hideFlyingBars,\n hideDataBoxes\n } = { ...internalDefaults, ...params } as Required;\n const showNumericDiagnostics = !hideDataBoxes;\n\n // Track global orbit time to ensure continuity\n const orbitTimeRef = useRef(0);\n const simTimeRef = useRef(0);\n const [paused, setPaused] = useState(false);\n const [page, setPage] = useState<'scene' | 'fano'>('scene');\n const [sceneView, setSceneView] = useState(configuredSceneView);\n const [effectiveComplexity, setEffectiveComplexity] = useState(complexity);\n const [effectiveSpeedup, setEffectiveSpeedup] = useState(speedup);\n const [settingFlash, setSettingFlash] = useState(null);\n const settingFlashTimerRef = useRef | null>(null);\n\n useEffect(() => {\n setSceneView(configuredSceneView);\n }, [configuredSceneView]);\n\n useEffect(() => {\n setEffectiveComplexity(complexity);\n }, [complexity]);\n\n useEffect(() => {\n setEffectiveSpeedup(speedup);\n }, [speedup]);\n\n const hideFlyingBarsAtHighSpeed = effectiveSpeedup > 20;\n const showPoissonView = sceneView !== 'lightlane';\n const showLightlaneView = sceneView !== 'poisson';\n const isComplexityEnabled = page === 'scene' && sceneView !== 'poisson';\n\n const getModeLabel = (mode: SceneViewMode) => {\n if (mode === 'poisson') return 'Poisson';\n if (mode === 'lightlane') return 'Lightlane';\n return 'Both';\n };\n\n const playUiHover = () => {\n safePlaySound(host, SOUND_IDS.hover, { page, sceneView });\n };\n\n const playUiClick = (target: string, payload?: Record) => {\n safePlaySound(host, SOUND_IDS.click, { page, sceneView, target, ...payload });\n };\n\n const flashSetting = (message: string) => {\n setSettingFlash(message);\n if (settingFlashTimerRef.current) clearTimeout(settingFlashTimerRef.current);\n settingFlashTimerRef.current = setTimeout(() => {\n setSettingFlash(null);\n settingFlashTimerRef.current = null;\n }, 1500);\n };\n\n const getCycleLevels = (maxValue: number) => {\n if (cycleLevelCount <= 1) return [maxValue];\n\n const interpolatedLevels = Array.from({ length: cycleLevelCount }, (_, index) => {\n if (index === 0) return 1;\n if (index === cycleLevelCount - 1) return maxValue;\n return Math.round(1 + ((maxValue - 1) * index) / (cycleLevelCount - 1));\n });\n\n return Array.from(new Set(interpolatedLevels)).sort((a, b) => a - b);\n };\n\n const getNextCycledValue = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n return levels.find((level) => current < level) ?? levels[levels.length - 1];\n };\n\n const getPreviousCycledValue = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n for (let index = levels.length - 1; index >= 0; index -= 1) {\n if (current > levels[index]) return levels[index];\n }\n return levels[0];\n };\n\n const getCycleLevelIndex = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n const index = levels.findIndex((level) => current <= level);\n return index >= 0 ? index : levels.length - 1;\n };\n\n const complexityLevel = getCycleLevelIndex(effectiveComplexity, maxComplexity);\n const turboLevel = getCycleLevelIndex(effectiveSpeedup, maxSpeedup);\n const complexityFill = `${((complexityLevel + 1) / cycleLevelCount) * 100}%`;\n const turboFill = `${((turboLevel + 1) / cycleLevelCount) * 100}%`;\n const canDecreaseComplexity = isComplexityEnabled && effectiveComplexity > getCycleLevels(maxComplexity)[0];\n const canIncreaseComplexity = isComplexityEnabled && effectiveComplexity < getCycleLevels(maxComplexity).at(-1)!;\n const canDecreaseSpeedup = effectiveSpeedup > getCycleLevels(maxSpeedup)[0];\n const canIncreaseSpeedup = effectiveSpeedup < getCycleLevels(maxSpeedup).at(-1)!;\n\n const stepComplexity = (direction: 'down' | 'up') => {\n if (!isComplexityEnabled) return;\n const next = direction === 'up'\n ? getNextCycledValue(effectiveComplexity, maxComplexity)\n : getPreviousCycledValue(effectiveComplexity, maxComplexity);\n if (next === effectiveComplexity) return;\n playUiClick('complexity', { direction, value: next });\n setEffectiveComplexity(next);\n props.devUi?.onSetParam?.('complexity', next);\n flashSetting(`Complexity ${next}`);\n };\n\n const stepSpeedup = (direction: 'down' | 'up') => {\n const next = direction === 'up'\n ? getNextCycledValue(effectiveSpeedup, maxSpeedup)\n : getPreviousCycledValue(effectiveSpeedup, maxSpeedup);\n if (next === effectiveSpeedup) return;\n playUiClick('turbo', { direction, value: next });\n setEffectiveSpeedup(next);\n props.devUi?.onSetParam?.('speedup', next);\n flashSetting(`Turbo ${next}x`);\n };\n\n const cycleMode = () => {\n const modes: SceneViewMode[] = ['poisson', 'lightlane', 'both'];\n const currentIndex = modes.indexOf(sceneView);\n const nextMode = modes[(currentIndex + 1) % modes.length];\n playUiClick('mode', { value: nextMode });\n setSceneView(nextMode);\n flashSetting(`Mode ${getModeLabel(nextMode)}`);\n };\n\n const toggleFanoPage = () => {\n playUiClick('fano-page', { value: page === 'scene' ? 'fano' : 'scene' });\n setPage((prev) => (prev === 'scene' ? 'fano' : 'scene'));\n };\n\n useEffect(() => {\n const onKeyDown = (event: KeyboardEvent) => {\n if (event.code !== 'Space' || event.repeat) return;\n\n const target = event.target as HTMLElement | null;\n const tag = target?.tagName;\n if (tag === 'INPUT' || tag === 'TEXTAREA' || target?.isContentEditable) return;\n\n event.preventDefault();\n setPaused(prev => !prev);\n };\n\n window.addEventListener('keydown', onKeyDown);\n return () => window.removeEventListener('keydown', onKeyDown);\n }, []);\n\n useEffect(() => () => {\n if (settingFlashTimerRef.current) clearTimeout(settingFlashTimerRef.current);\n }, []);\n\n useFrame((_, delta) => {\n if (paused || page === 'fano') return;\n // Accumulate orbit time continuously based on current speed and speedup\n orbitTimeRef.current += delta * orbitSpeed * effectiveSpeedup;\n simTimeRef.current += delta * effectiveSpeedup;\n });\n\n // Keep the visual camera model aligned with the sampling engine when the\n // simulator is recreated/reset by configuration changes (e.g. complexity).\n useEffect(() => {\n orbitTimeRef.current = 0;\n simTimeRef.current = 0;\n }, [\n effectiveComplexity,\n radius,\n distance,\n chandraDistance,\n phi,\n theta,\n observationMode,\n orbitSpeed,\n thetaDrift,\n thetaJitter,\n phiJitter,\n effectiveSpeedup,\n K,\n allSectors,\n cumulative,\n usePoisson,\n ]);\n\n return (\n <>\n \n
\n {\n playUiClick('advanced');\n props.devUi?.onOpenHarness?.();\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.86)',\n color: 'var(--terminal-green-soft)',\n borderRadius: 10,\n padding: '10px 12px',\n fontSize: 12,\n fontWeight: 400,\n letterSpacing: '0.08em',\n fontFamily: 'var(--font-headline)',\n textTransform: 'uppercase',\n cursor: 'pointer',\n boxShadow: '0 8px 24px rgba(0,0,0,0.25)',\n }}\n >\n Advanced\n \n
\n \n\n {/* Lighting */}\n \n \n \n\n {page === 'scene' ? (\n <>\n {/* Main content */}\n {!hideScenePresentation && showPoissonView && }\n\n {!hideScenePresentation && showLightlaneView && (\n \n )}\n\n {!hideScenePresentation && }\n\n \n\n \n\n {paused && (\n \n \n \n \n \n \n )}\n\n {/* Helpers */}\n {showAxes && }\n \n \n ) : (\n setPage('scene')}\n host={host}\n />\n )}\n\n \n {settingFlash && (\n \n {settingFlash}\n
\n )}\n \n \n \n \n \n {Array.from({ length: cycleLevelCount }).map((_, index) => (\n \n ))}\n
\n \n Complexity {complexityLevel + 1}/{cycleLevelCount}\n
\n
\n
\n \n \n \n \n \n {Array.from({ length: cycleLevelCount }).map((_, index) => (\n \n ))}\n
\n \n Turbo {turboLevel + 1}/{cycleLevelCount}\n
\n
\n
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\n
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\n \n\n \n \n )\n}\n","import Component from './Component';\nimport { type GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'lightlane',\n displayName: 'Lightlane Challenge',\n version: '1.1.0',\n paramSchema: {\n hideScenePresentation: { type: 'boolean', label: 'Hide Sphere + Lightlanes', default: false },\n hideFlyingBars: { type: 'boolean', label: 'Hide Flying Bars', default: false },\n hideDataBoxes: { type: 'boolean', label: 'Hide Data Boxes', default: false },\n complexity: { type: 'range', label: 'Complexity', default: 5, min: 1, max: 20, step: 1 },\n radius: { type: 'range', label: 'Distance to star', default: 2, min: 0.1, max: 5, step: 0.1 },\n chandraDistance: { type: 'range', label: 'Chandra Camera Distance', default: 6, min: 5, max: 30, step: 0.5 },\n observationMode: {\n type: 'select',\n label: 'Observation Mode',\n default: 'randomSphere',\n options: [\n { value: 'orbit', label: 'Orbit' 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\ No newline at end of file diff --git a/dist/glitch/glitch_lightlane/presets.d.ts b/dist/glitch/glitch_lightlane/presets.d.ts new file mode 100644 index 0000000..5e71c13 --- /dev/null +++ b/dist/glitch/glitch_lightlane/presets.d.ts @@ -0,0 +1,94 @@ +export interface Config { + complexity: number; + radius: number; + distance: number; + lightlanes: boolean; + allSectors: boolean; + cumulative: boolean; + phi: number; + theta: number; + orbitSpeed?: number; + usePoisson?: boolean; +} +export interface Preset { + name: string; + description: string; + duration: number; + start: Config; + end: Config; +} +export declare const presets: Preset[]; +export declare const namedPresets: { + "Iso: High Complexity": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Iso: Fast Orbit": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Iso: Optimal": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: Low Complexity": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: Slow Speed": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: High Distance": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; +}; diff --git a/dist/glitch/glitch_lightlane/types.d.ts b/dist/glitch/glitch_lightlane/types.d.ts new file mode 100644 index 0000000..114197e --- /dev/null +++ b/dist/glitch/glitch_lightlane/types.d.ts @@ -0,0 +1,82 @@ +export type SceneViewMode = 'both' | 'poisson' | 'lightlane'; +export interface LightlaneProps { + complexity?: number; + radius?: number; + distance?: number; + chandraDistance?: number; + showAxes?: boolean; + lightlanes?: boolean; + allSectors?: boolean; + cumulative?: boolean; + phi?: number; + theta?: number; + observationMode?: 'orbit' | 'randomSphere'; + orbitSpeed?: number; + thetaDrift?: number; + thetaJitter?: number; + phiJitter?: number; + speedup?: number; + K?: number; + usePoisson?: boolean; + sceneView?: SceneViewMode; + hideScenePresentation?: boolean; + hideFlyingBars?: boolean; + hideDataBoxes?: boolean; +} +export declare const defaultProps: Required; +export interface GlitchComponentConfig { + id: string; + name: string; + version: string; + params: Record; +} +export interface GlitchHostBridge { + playSound?: (id: string, payload?: Record) => void; + stopSound?: (id: string, payload?: Record) => void; + emit?: (type: string, payload?: unknown) => void; +} +export interface GlitchTheme { + primary: string; + accent: string; + bg: string; + bgSecondary: string; + text: string; + textMuted: string; + border: string; +} +export interface GlitchComponentResult { + success: boolean; + score?: number; + data?: unknown; + error?: string; +} +export interface GlitchComponentProps { + config: GlitchComponentConfig; + onComplete: (result: GlitchComponentResult) => void; + onProgress?: (percent: number) => void; + theme?: GlitchTheme; + className?: string; + host?: GlitchHostBridge; +} +export interface ParamSchema { + [key: string]: { + type: 'number' | 'string' | 'boolean' | 'color' | 'select' | 'range'; + label?: string; + description?: string; + default: unknown; + options?: { + value: string | number; + label: string; + }[]; + min?: number; + max?: number; + step?: number; + }; +} +export interface GlitchComponentMetadata { + name: string; + displayName: string; + version: string; + paramSchema: ParamSchema; + defaultParams: Record; +} diff --git a/dist/glitch/glitch_lightlane/vectors.d.ts b/dist/glitch/glitch_lightlane/vectors.d.ts new file mode 100644 index 0000000..15013f8 --- /dev/null +++ b/dist/glitch/glitch_lightlane/vectors.d.ts @@ -0,0 +1,2 @@ +export type Vector3Tuple = [number, number, number]; +export declare function getVectors(complexity: number, allSectors?: boolean): Vector3Tuple[]; diff --git a/dist/glitch/glitch_lightlane/vite.svg b/dist/glitch/glitch_lightlane/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/dist/glitch/glitch_lightlane/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/dist/glitch/glitch_migration_paradox/glitch.manifest.json b/dist/glitch/glitch_migration_paradox/glitch.manifest.json new file mode 100644 index 0000000..755f96e --- /dev/null +++ b/dist/glitch/glitch_migration_paradox/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "migration-paradox", + "displayName": "The Migration Paradox", + "version": "1.0.0", + "folderName": "glitch_migration_paradox", + "packageName": "migration-paradox", + "entry": "dist/migration-paradox.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "paradox", + "narrative" + ] +} diff --git a/dist/glitch/glitch_migration_paradox/migration-paradox.js b/dist/glitch/glitch_migration_paradox/migration-paradox.js new file mode 100644 index 0000000..e8de3a7 --- /dev/null +++ b/dist/glitch/glitch_migration_paradox/migration-paradox.js @@ -0,0 +1,422 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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xe, + insightButton: ye, + glowPulse: Be, + insight: ve, + insightTitle: qe, + paradoxDiagram: Ce, + paradoxNode: Te, + paradoxArrow: Fe, + paradoxLoop: fe, + spin: we, + insightText: Ae, + completeButton: Ie, + successBox: Ee, + successTitle: Se, + stats: je, + scoreDisplay: De, + scoreLabel: Me, + scoreValue: Le +}, E = "/glitch/migration-paradox", Re = 2, He = 1, _ = { + presenting: { + badge: "Migration Briefing", + title: "Stakeholders Await Your Plan", + copy: "Frame the migration as progress without triggering fear.", + detail: "You need a strategy that creates momentum before the paradox closes in.", + tone: "primary" + }, + "rejection-value": { + badge: "Stakeholder Response", + title: "Too Much Change", + copy: "Your pitch sounded valuable, but it also sounded dangerous.", + detail: "They want new capability only if nothing important feels different.", + tone: "danger" + }, + "rejection-same": { + badge: "Stakeholder Response", + title: "Too Little Value", + copy: "Your pitch sounded safe, but it also sounded pointless.", + detail: "They want risk contained, but they still expect the migration to matter.", + tone: "danger" + }, + awareness: { + badge: "Pattern Detected", + title: "Expose The Contradiction", + copy: "Show how value and continuity need different phases, not one impossible promise.", + detail: "Explore, preserve, and then innovate.", + tone: "accent" + }, + complete: { + badge: "Challenge Complete", + title: "Paradox Resolved", + copy: "You reframed the migration into a sequence stakeholders can accept.", + detail: "Value and stability can coexist when delivery is phased.", + tone: "success" + } +}; +function Ue(o) { + if (typeof o != "string") + return E; + const i = o.trim(); + return i ? i.replace(/\/+$/, "") : E; +} +function y(o, i) { + return `${o}/${i}`; +} +function S(o, i) { + const n = o === "A" ? Re : He, s = Math.floor(Math.random() * n) + 1; + return y(i, `rejection${o}_${s}.png`); +} +function N({ + src: o, + alt: i, + fallback: n, + onImageError: s +}) { + return /* @__PURE__ */ a("div", { className: e.imageFrame, children: o ? /* @__PURE__ */ a( + "img", + { + src: o, + alt: i, + className: e.sceneImage, + onError: () => s(o) + } + ) : /* @__PURE__ */ t( + "div", + { + className: e.sceneFallback, + "data-tone": n.tone, + role: "img", + "aria-label": i, + children: [ + /* @__PURE__ */ a("div", { className: e.sceneFallbackGlow }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackHud, children: [ + /* @__PURE__ */ a("span", { className: e.sceneFallbackBadge, children: n.badge }), + /* @__PURE__ */ a("span", { className: e.sceneFallbackSignal, children: "GLITCH SIM" }) + ] }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackCopy, children: [ + /* @__PURE__ */ a("p", { className: e.sceneFallbackKicker, children: n.copy }), + /* @__PURE__ */ a("h3", { className: e.sceneFallbackTitle, children: n.title }), + /* @__PURE__ */ a("p", { className: e.sceneFallbackDetail, children: n.detail }) + ] }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackBars, "aria-hidden": "true", children: [ + /* @__PURE__ */ a("span", {}), + /* @__PURE__ */ a("span", {}), + /* @__PURE__ */ a("span", {}) + ] }) + ] + } + ) }); +} +function Oe({ + config: o, + onComplete: i, + onProgress: n, + theme: s, + className: j +}) { + const k = (o == null ? void 0 : o.params) ?? {}, [h, p] = b("intro"), [l, T] = b({ + loopCount: 0, + valueAttempts: 0, + sameAttempts: 0 + }), [B, D] = b(!1), [F, f] = b(""), [w, M] = b({}), r = I( + () => Ue(k.assetBaseUrl ?? k.imageBaseUrl), + [k.assetBaseUrl, k.imageBaseUrl] + ), x = I(() => ({ + presenting: y(r, "presenting.png"), + insight: y(r, "insight.png"), + complete: y(r, "complete.png") + }), [r]), L = { + "--gc-primary": (s == null ? void 0 : s.primary) || "#6366f1", + "--gc-accent": (s == null ? void 0 : s.accent) || "#22d3ee", + "--gc-bg": (s == null ? void 0 : s.bg) || "#0a0a0f", + "--gc-bg-secondary": (s == null ? void 0 : s.bgSecondary) || "#12121a", + "--gc-text": (s == null ? void 0 : s.text) || "#e8e8ec", + "--gc-text-muted": (s == null ? void 0 : s.textMuted) || "#9999a8", + "--gc-border": (s == null ? void 0 : s.border) || "#2a2a3a" + }, m = l.valueAttempts + l.sameAttempts, v = m >= 4, u = d((c) => w[c] ? void 0 : c, [w]), g = d((c) => { + M((C) => C[c] ? C : { ...C, [c]: !0 }); + }, []), R = d(() => { + p("choice"), n == null || n(10); + }, [n]), H = d(() => { + f(S("A", r)), T((c) => ({ + ...c, + valueAttempts: c.valueAttempts + 1, + loopCount: c.loopCount + (c.sameAttempts > c.valueAttempts ? 0.5 : 0) + })), p("rejection-value"), n == null || n(Math.min(30 + m * 10, 80)); + }, [r, m, n]), U = d(() => { + f(S("B", r)), T((c) => ({ + ...c, + sameAttempts: c.sameAttempts + 1, + loopCount: c.loopCount + (c.valueAttempts > c.sameAttempts ? 0.5 : 0) + })), p("rejection-same"), n == null || n(Math.min(30 + m * 10, 80)); + }, [r, m, n]), A = d(() => { + p("choice"); + }, []), q = d(() => { + D(!0), p("awareness"), n == null || n(90); + }, [n]), Y = d(() => { + p("complete"), n == null || n(100), i({ + success: !0, + score: 100, + data: { + loopsBeforeInsight: Math.floor(l.loopCount), + totalAttempts: m, + valueAttempts: l.valueAttempts, + sameAttempts: l.sameAttempts + }, + rewards: { + paradoxes: [{ + id: "migration-paradox", + name: "The Migration Paradox", + description: "Stakeholders simultaneously demand that a migration adds value AND changes nothing.", + rarity: "uncommon" + }] + } + }); + }, [i, n, l, m]); + return /* @__PURE__ */ t("div", { className: `${e.container} ${j || ""}`, style: L, children: [ + h === "intro" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.presenting), + alt: "Presenting to stakeholders", + fallback: _.presenting, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "The Migration Paradox" }), + /* @__PURE__ */ a("p", { className: e.description, children: "You've been tasked with migrating the core system. Your stakeholders are waiting for your strategy." }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: R, children: "▶ Present Your Strategy" }) + ] }) + ] }), + h === "choice" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.presenting), + alt: "Presenting options", + fallback: _.presenting, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.dialogueHeader, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "Choose Your Approach" }), + l.loopCount > 0 && /* @__PURE__ */ t("span", { className: e.loopBadge, children: [ + "LOOP ", + Math.floor(l.loopCount) + 1 + ] }) + ] }), + /* @__PURE__ */ a("p", { className: e.description, children: "How will you pitch the migration project?" }), + /* @__PURE__ */ t("div", { className: e.choices, children: [ + /* @__PURE__ */ t( + "button", + { + className: e.choiceButton, + onClick: H, + children: [ + /* @__PURE__ */ a("span", { className: e.choiceKey, children: "A" }), + /* @__PURE__ */ t("span", { className: e.choiceContent, children: [ + /* @__PURE__ */ a("span", { className: e.choiceTitle, children: "Emphasize Change" }), + /* @__PURE__ */ a("span", { className: e.choiceDesc, children: '"The new system will add value and enable new capabilities"' }) + ] }) + ] + } + ), + /* @__PURE__ */ t( + "button", + { + className: e.choiceButton, + onClick: U, + children: [ + /* @__PURE__ */ a("span", { className: e.choiceKey, children: "B" }), + /* @__PURE__ */ t("span", { className: e.choiceContent, children: [ + /* @__PURE__ */ a("span", { className: e.choiceTitle, children: "Emphasize No Change" }), + /* @__PURE__ */ a("span", { className: e.choiceDesc, children: '"Everything will work exactly the same as before"' }) + ] }) + ] + } + ) + ] }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "rejection-value" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(F), + alt: "Stakeholder rejection", + fallback: _["rejection-value"], + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.rejection, children: [ + /* @__PURE__ */ a("span", { className: e.rejectionBadge, children: "✗ REJECTED" }), + /* @__PURE__ */ a("p", { className: e.quote, children: '"Are you insane? This will break everything!"' }), + /* @__PURE__ */ a("p", { className: e.explanation, children: `"If you want to change the core system, you need to make absolutely sure that everything works exactly the same. We can't risk any disruption."` }) + ] }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: A, children: "▶ Try a Different Approach" }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "rejection-same" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(F), + alt: "Stakeholder rejection", + fallback: _["rejection-same"], + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.rejection, children: [ + /* @__PURE__ */ a("span", { className: e.rejectionBadge, children: "✗ REJECTED" }), + /* @__PURE__ */ a("p", { className: e.quote, children: '"This is insane. Why would we do this?"' }), + /* @__PURE__ */ a("p", { className: e.explanation, children: `"If everything is going to stay exactly the same, why would we spend all this time and money replacing the core system? What's the point?"` }) + ] }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: A, children: "▶ Try a Different Approach" }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "awareness" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.insight), + alt: "Insight moment", + fallback: _.awareness, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.insight, children: [ + /* @__PURE__ */ a("h2", { className: e.insightTitle, children: "★ The Paradox Revealed ★" }), + /* @__PURE__ */ t("p", { className: e.insightText, children: [ + "You've discovered the ", + /* @__PURE__ */ a("strong", { children: "Migration Paradox" }), + ": stakeholders demand that you change things - to give value. But also that nothing changes, to contain risk." + ] }), + /* @__PURE__ */ t("p", { className: e.insightText, children: [ + "The solution is ", + /* @__PURE__ */ a("strong", { children: "phased delivery" }), + ". First, prove business case. Then prove you can preserve existing functionality. Then introduce new capabilities." + ] }), + /* @__PURE__ */ t("div", { className: e.paradoxDiagram, children: [ + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Explore"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }), + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Preserve"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }), + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Innovate"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }) + ] }) + ] }), + /* @__PURE__ */ a("button", { className: e.completeButton, onClick: Y, children: "▶ Complete Challenge" }) + ] }) + ] }), + h === "complete" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.complete), + alt: "Challenge complete", + fallback: _.complete, + onImageError: g + } + ), + /* @__PURE__ */ a("div", { className: e.dialogueBox, children: /* @__PURE__ */ t("div", { className: e.successBox, children: [ + /* @__PURE__ */ a("h2", { className: e.successTitle, children: "★ CHALLENGE COMPLETE ★" }), + /* @__PURE__ */ t("p", { className: e.stats, children: [ + "You experienced ", + Math.floor(l.loopCount), + " loop(s) before seeing the pattern." + ] }), + /* @__PURE__ */ t("div", { className: e.scoreDisplay, children: [ + /* @__PURE__ */ a("span", { className: e.scoreLabel, children: "SCORE" }), + /* @__PURE__ */ a("span", { className: e.scoreValue, children: "100" }) + ] }) + ] }) }) + ] }) + ] }); +} +const Ve = { + name: "migration-paradox", + displayName: "The Migration Paradox", + version: "1.0.0", + paramSchema: { + assetBaseUrl: { + type: "string", + label: "Asset Base URL", + description: "Shared CDN or public folder containing presenting.png, insight.png, complete.png, rejectionA_1.png, rejectionA_2.png, and rejectionB_1.png.", + default: "/glitch/migration-paradox" + } + }, + defaultParams: { + assetBaseUrl: "/glitch/migration-paradox" + } +}; +export { + Oe as default, + Ve as metadata +}; +//# sourceMappingURL=migration-paradox.js.map diff --git a/dist/glitch/glitch_migration_paradox/migration-paradox.js.map b/dist/glitch/glitch_migration_paradox/migration-paradox.js.map new file mode 100644 index 0000000..9a7c8da --- /dev/null +++ b/dist/glitch/glitch_migration_paradox/migration-paradox.js.map @@ -0,0 +1 @@ +{"version":3,"file":"migration-paradox.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useMemo, useState } from 'react';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\ntype Phase = 'intro' | 'choice' | 'rejection-value' | 'rejection-same' | 'awareness' | 'complete';\ntype SceneTone = 'primary' | 'danger' | 'accent' | 'success';\n\ninterface LoopState {\n loopCount: number;\n valueAttempts: number;\n sameAttempts: number;\n}\n\ninterface SceneFallback {\n badge: string;\n title: string;\n copy: string;\n detail: string;\n tone: SceneTone;\n}\n\nconst DEFAULT_ASSET_BASE = '/glitch/migration-paradox';\nconst REJECTION_A_COUNT = 2; // Number of rejectionA_X.png variants (1 to X)\nconst REJECTION_B_COUNT = 1; // Number of rejectionB_X.png variants (1 to X)\nconst SCENE_FALLBACKS: Record<'presenting' | 'rejection-value' | 'rejection-same' | 'awareness' | 'complete', SceneFallback> = {\n presenting: {\n badge: 'Migration Briefing',\n title: 'Stakeholders Await Your Plan',\n copy: 'Frame the migration as progress without triggering fear.',\n detail: 'You need a strategy that creates momentum before the paradox closes in.',\n tone: 'primary'\n },\n 'rejection-value': {\n badge: 'Stakeholder Response',\n title: 'Too Much Change',\n copy: 'Your pitch sounded valuable, but it also sounded dangerous.',\n detail: 'They want new capability only if nothing important feels different.',\n tone: 'danger'\n },\n 'rejection-same': {\n badge: 'Stakeholder Response',\n title: 'Too Little Value',\n copy: 'Your pitch sounded safe, but it also sounded pointless.',\n detail: 'They want risk contained, but they still expect the migration to matter.',\n tone: 'danger'\n },\n awareness: {\n badge: 'Pattern Detected',\n title: 'Expose The Contradiction',\n copy: 'Show how value and continuity need different phases, not one impossible promise.',\n detail: 'Explore, preserve, and then innovate.',\n tone: 'accent'\n },\n complete: {\n badge: 'Challenge Complete',\n title: 'Paradox Resolved',\n copy: 'You reframed the migration into a sequence stakeholders can accept.',\n detail: 'Value and stability can coexist when delivery is phased.',\n tone: 'success'\n }\n};\n\nfunction normalizeAssetBase(candidate: unknown): string {\n if (typeof candidate !== 'string') {\n return DEFAULT_ASSET_BASE;\n }\n\n const trimmed = candidate.trim();\n if (!trimmed) {\n return DEFAULT_ASSET_BASE;\n }\n\n return trimmed.replace(/\\/+$/, '');\n}\n\nfunction buildAssetUrl(base: string, assetName: string): string {\n return `${base}/${assetName}`;\n}\n\nfunction getRandomRejectionImage(choice: 'A' | 'B', assetBase: string): string {\n const count = choice === 'A' ? REJECTION_A_COUNT : REJECTION_B_COUNT;\n const index = Math.floor(Math.random() * count) + 1;\n return buildAssetUrl(assetBase, `rejection${choice}_${index}.png`);\n}\n\nfunction SceneMedia({\n src,\n alt,\n fallback,\n onImageError\n}: {\n src?: string;\n alt: string;\n fallback: SceneFallback;\n onImageError: (src: string) => void;\n}) {\n return (\n
\n {src ? (\n onImageError(src)}\n />\n ) : (\n \n
\n
\n {fallback.badge}\n GLITCH SIM\n
\n
\n

{fallback.copy}

\n

{fallback.title}

\n

{fallback.detail}

\n
\n
\n \n \n \n
\n
\n )}\n
\n );\n}\n\nexport default function MigrationParadox({\n config: _config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const params = _config?.params ?? {};\n const [phase, setPhase] = useState('intro');\n const [loopState, setLoopState] = useState({\n loopCount: 0,\n valueAttempts: 0,\n sameAttempts: 0\n });\n const [showInsight, setShowInsight] = useState(false);\n const [currentRejectionImage, setCurrentRejectionImage] = useState('');\n const [failedImages, setFailedImages] = useState>({});\n\n const assetBase = useMemo(\n () => normalizeAssetBase(params.assetBaseUrl ?? params.imageBaseUrl),\n [params.assetBaseUrl, params.imageBaseUrl]\n );\n\n const images = useMemo(() => ({\n presenting: buildAssetUrl(assetBase, 'presenting.png'),\n insight: buildAssetUrl(assetBase, 'insight.png'),\n complete: buildAssetUrl(assetBase, 'complete.png')\n }), [assetBase]);\n\n const cssVars = {\n '--gc-primary': theme?.primary || '#6366f1',\n '--gc-accent': theme?.accent || '#22d3ee',\n '--gc-bg': theme?.bg || '#0a0a0f',\n '--gc-bg-secondary': theme?.bgSecondary || '#12121a',\n '--gc-text': theme?.text || '#e8e8ec',\n '--gc-text-muted': theme?.textMuted || '#9999a8',\n '--gc-border': theme?.border || '#2a2a3a',\n } as React.CSSProperties;\n\n const totalAttempts = loopState.valueAttempts + loopState.sameAttempts;\n const canSeeInsight = totalAttempts >= 4;\n const getSceneImage = useCallback((src: string) => (\n failedImages[src] ? undefined : src\n ), [failedImages]);\n const handleImageError = useCallback((src: string) => {\n setFailedImages(prev => (\n prev[src] ? prev : { ...prev, [src]: true }\n ));\n }, []);\n\n const handleStart = useCallback(() => {\n setPhase('choice');\n onProgress?.(10);\n }, [onProgress]);\n\n const handleChooseValue = useCallback(() => {\n setCurrentRejectionImage(getRandomRejectionImage('A', assetBase));\n setLoopState(prev => ({\n ...prev,\n valueAttempts: prev.valueAttempts + 1,\n loopCount: prev.loopCount + (prev.sameAttempts > prev.valueAttempts ? 0.5 : 0)\n }));\n setPhase('rejection-value');\n onProgress?.(Math.min(30 + totalAttempts * 10, 80));\n }, [assetBase, totalAttempts, onProgress]);\n\n const handleChooseSame = useCallback(() => {\n setCurrentRejectionImage(getRandomRejectionImage('B', assetBase));\n setLoopState(prev => ({\n ...prev,\n sameAttempts: prev.sameAttempts + 1,\n loopCount: prev.loopCount + (prev.valueAttempts > prev.sameAttempts ? 0.5 : 0)\n }));\n setPhase('rejection-same');\n onProgress?.(Math.min(30 + totalAttempts * 10, 80));\n }, [assetBase, totalAttempts, onProgress]);\n\n const handleTryAgain = useCallback(() => {\n setPhase('choice');\n }, []);\n\n const handleSeeInsight = useCallback(() => {\n setShowInsight(true);\n setPhase('awareness');\n onProgress?.(90);\n }, [onProgress]);\n\n const handleComplete = useCallback(() => {\n setPhase('complete');\n onProgress?.(100);\n onComplete({\n success: true,\n score: 100,\n data: {\n loopsBeforeInsight: Math.floor(loopState.loopCount),\n totalAttempts,\n valueAttempts: loopState.valueAttempts,\n sameAttempts: loopState.sameAttempts\n },\n rewards: {\n paradoxes: [{\n id: 'migration-paradox',\n name: 'The Migration Paradox',\n description: 'Stakeholders simultaneously demand that a migration adds value AND changes nothing.',\n rarity: 'uncommon'\n }]\n }\n });\n }, [onComplete, onProgress, loopState, totalAttempts]);\n\n return (\n
\n {phase === 'intro' && (\n
\n \n
\n

The Migration Paradox

\n

\n You've been tasked with migrating the core system.\n Your stakeholders are waiting for your strategy.\n

\n \n
\n
\n )}\n\n {phase === 'choice' && (\n
\n \n
\n
\n

Choose Your Approach

\n {loopState.loopCount > 0 && (\n \n LOOP {Math.floor(loopState.loopCount) + 1}\n \n )}\n
\n

\n How will you pitch the migration project?\n

\n
\n \n A\n \n Emphasize Change\n \n \"The new system will add value and enable new capabilities\"\n \n \n \n \n B\n \n Emphasize No Change\n \n \"Everything will work exactly the same as before\"\n \n \n \n
\n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'rejection-value' && (\n
\n \n
\n
\n ✗ REJECTED\n

\n \"Are you insane? This will break everything!\"\n

\n

\n \"If you want to change the core system, you need to make absolutely\n sure that everything works exactly the same. We can't risk any disruption.\"\n

\n
\n \n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'rejection-same' && (\n
\n \n
\n
\n ✗ REJECTED\n

\n \"This is insane. Why would we do this?\"\n

\n

\n \"If everything is going to stay exactly the same, why would we spend\n all this time and money replacing the core system? What's the point?\"\n

\n
\n \n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'awareness' && (\n
\n \n
\n
\n

★ The Paradox Revealed ★

\n \n

\n You've discovered the Migration Paradox: stakeholders\n demand that you change things - to give value. But also that nothing changes, to contain risk.\n

\n

\n The solution is phased delivery. First, prove business case. Then \n prove you can preserve existing functionality. Then introduce new\n capabilities.\n

\n
\n
\"Explore\"
\n
→
\n
\"Preserve\"
\n
→
\n
\"Innovate\"
\n
→
\n
\n
\n \n
\n
\n )}\n\n {phase === 'complete' && (\n
\n \n
\n
\n

★ CHALLENGE COMPLETE ★

\n

\n You experienced {Math.floor(loopState.loopCount)} loop(s) before seeing the pattern.\n

\n
\n SCORE\n 100\n
\n
\n
\n
\n )}\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'migration-paradox',\n displayName: 'The Migration Paradox',\n version: '1.0.0',\n paramSchema: {\n assetBaseUrl: {\n type: 'string',\n label: 'Asset Base URL',\n description: 'Shared CDN or public folder containing presenting.png, insight.png, complete.png, rejectionA_1.png, rejectionA_2.png, and rejectionB_1.png.',\n default: '/glitch/migration-paradox'\n }\n },\n defaultParams: {\n assetBaseUrl: '/glitch/migration-paradox'\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult\n} from 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\ No newline at end of file diff --git a/dist/glitch/glitch_onboarding/glitch.manifest.json b/dist/glitch/glitch_onboarding/glitch.manifest.json new file mode 100644 index 0000000..7685d65 --- /dev/null +++ b/dist/glitch/glitch_onboarding/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "onboarding", + "displayName": "Glitch University Onboarding", + "version": "1.0.0", + "folderName": "glitch_onboarding", + "packageName": "@glitch-components/onboarding", + "entry": "dist/onboarding.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "onboarding", + "narrative" + ] +} diff --git a/dist/glitch/glitch_onboarding/onboarding.js b/dist/glitch/glitch_onboarding/onboarding.js new file mode 100644 index 0000000..9c3499a --- /dev/null +++ b/dist/glitch/glitch_onboarding/onboarding.js @@ -0,0 +1,847 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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+var De; +function _r() { + if (De) return Y; + De = 1; + var A = Be, y = Symbol.for("react.element"), m = Symbol.for("react.fragment"), R = Object.prototype.hasOwnProperty, b = A.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner, C = { key: !0, ref: !0, __self: !0, __source: !0 }; + function O(T, d, S) { + var v, j = {}, p = null, I = null; + S !== void 0 && (p = "" + S), d.key !== void 0 && (p = "" + d.key), d.ref !== void 0 && (I = d.ref); + for (v in d) R.call(d, v) && !C.hasOwnProperty(v) && (j[v] = d[v]); + if (T && T.defaultProps) for (v in d = T.defaultProps, d) j[v] === void 0 && (j[v] = d[v]); + return { $$typeof: y, type: T, key: p, ref: I, props: j, _owner: b.current }; + } + return Y.Fragment = m, Y.jsx = O, Y.jsxs = O, Y; +} +var L = {}; +/** + * @license React + * react-jsx-runtime.development.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ +var Fe; +function gr() { + return Fe || (Fe = 1, process.env.NODE_ENV !== "production" && function() { + var A = Be, y = Symbol.for("react.element"), m = Symbol.for("react.portal"), R = Symbol.for("react.fragment"), b = Symbol.for("react.strict_mode"), C = Symbol.for("react.profiler"), O = Symbol.for("react.provider"), T = Symbol.for("react.context"), d = Symbol.for("react.forward_ref"), S = Symbol.for("react.suspense"), v = Symbol.for("react.suspense_list"), j = Symbol.for("react.memo"), p = Symbol.for("react.lazy"), I = Symbol.for("react.offscreen"), B = Symbol.iterator, oe = "@@iterator"; + function se(e) { + if (e === null || typeof e != "object") + return null; + var r = B && e[B] || e[oe]; + return typeof r == "function" ? r : null; + } + var k = A.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED; + function _(e) { + { + for (var r = arguments.length, t = new Array(r > 1 ? r - 1 : 0), i = 1; i < r; i++) + t[i - 1] = arguments[i]; + K("error", e, t); + } + } + function K(e, r, t) { + { + var i = k.ReactDebugCurrentFrame, c = i.getStackAddendum(); + c !== "" && (r += "%s", t = t.concat([c])); + var l = t.map(function(s) { + return String(s); + }); + l.unshift("Warning: " + r), Function.prototype.apply.call(console[e], console, l); + } + } + var E = !1, $ = !1, z = !1, X = !1, $e = !1, ce; + ce = Symbol.for("react.module.reference"); + function Me(e) { + return !!(typeof e == "string" || typeof e == "function" || e === R || e === C || $e || e === b || e === S || e === v || X || e === I || E || $ || z || typeof e == "object" && e !== null && (e.$$typeof === p || e.$$typeof === j || e.$$typeof === O || e.$$typeof === T || e.$$typeof === d || // This needs to include all possible module reference object + // types supported by any Flight configuration anywhere since + // we don't know which Flight build this will end up being used + // with. + e.$$typeof === ce || e.getModuleId !== void 0)); + } + function We(e, r, t) { + var i = e.displayName; + if (i) + return i; + var c = r.displayName || r.name || ""; + return c !== "" ? t + "(" + c + ")" : t; + } + function le(e) { + return e.displayName || "Context"; + } + function w(e) { + if (e == null) + return null; + if (typeof e.tag == "number" && _("Received an unexpected object in getComponentNameFromType(). This is likely a bug in React. Please file an issue."), typeof e == "function") + return e.displayName || e.name || null; + if (typeof e == "string") + return e; + switch (e) { + case R: + return "Fragment"; + case m: + return "Portal"; + case C: + return "Profiler"; + case b: + return "StrictMode"; + case S: + return "Suspense"; + case v: + return "SuspenseList"; + } + if (typeof e == "object") + switch (e.$$typeof) { + case T: + var r = e; + return le(r) + ".Consumer"; + case O: + var t = e; + return le(t._context) + ".Provider"; + case d: + return We(e, e.render, "ForwardRef"); + case j: + var i = e.displayName || null; + return i !== null ? i : w(e.type) || "Memo"; + case p: { + var c = e, l = c._payload, s = c._init; + try { + return w(s(l)); + } catch { + return null; + } + } + } + return null; + } + var N = Object.assign, M = 0, ue, fe, de, ve, _e, ge, he; + function me() { + } + me.__reactDisabledLog = !0; + function Ye() { + { + if (M === 0) { + ue = console.log, fe = console.info, de = console.warn, ve = console.error, _e = console.group, ge = console.groupCollapsed, he = console.groupEnd; + var e = { + configurable: !0, + enumerable: !0, + value: me, + writable: !0 + }; + Object.defineProperties(console, { + info: e, + log: e, + warn: e, + error: e, + group: e, + groupCollapsed: e, + groupEnd: e + }); + } + M++; + } + } + function Le() { + { + if (M--, M === 0) { + var e = { + configurable: !0, + enumerable: !0, + writable: !0 + }; + Object.defineProperties(console, { + log: N({}, e, { + value: ue + }), + info: N({}, e, { + value: fe + }), + warn: N({}, e, { + value: de + }), + error: N({}, e, { + value: ve + }), + group: N({}, e, { + value: _e + }), + groupCollapsed: N({}, e, { + value: ge + }), + groupEnd: N({}, e, { + value: he + }) + }); + } + M < 0 && _("disabledDepth fell below zero. 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WeakMap : Map; + V = new Ue(); + } + function pe(e, r) { + if (!e || Q) + return ""; + { + var t = V.get(e); + if (t !== void 0) + return t; + } + var i; + Q = !0; + var c = Error.prepareStackTrace; + Error.prepareStackTrace = void 0; + var l; + l = H.current, H.current = null, Ye(); + try { + if (r) { + var s = function() { + throw Error(); + }; + if (Object.defineProperty(s.prototype, "props", { + set: function() { + throw Error(); + } + }), typeof Reflect == "object" && Reflect.construct) { + try { + Reflect.construct(s, []); + } catch (h) { + i = h; + } + Reflect.construct(e, [], s); + } else { + try { + s.call(); + } catch (h) { + i = h; + } + e.call(s.prototype); + } + } else { + try { + throw Error(); + } catch (h) { + i = h; + } + e(); + } + } catch (h) { + if (h && i && typeof h.stack == "string") { + for (var o = h.stack.split(` +`), g = i.stack.split(` +`), u = o.length - 1, f = g.length - 1; u >= 1 && f >= 0 && o[u] !== g[f]; ) + f--; + for (; u >= 1 && f >= 0; u--, f--) + if (o[u] !== g[f]) { + if (u !== 1 || f !== 1) + do + if (u--, f--, f < 0 || o[u] !== g[f]) { + var x = ` +` + o[u].replace(" at new ", " at "); + return e.displayName && x.includes("") && (x = x.replace("", e.displayName)), typeof e == "function" && V.set(e, x), x; + } + while (u >= 1 && f >= 0); + break; + } + } + } finally { + Q = !1, H.current = l, Le(), Error.prepareStackTrace = c; + } + var F = e ? e.displayName || e.name : "", P = F ? U(F) : ""; + return typeof e == "function" && V.set(e, P), P; + } + function Ve(e, r, t) { + return pe(e, !1); + } + function Ge(e) { + var r = e.prototype; + return !!(r && r.isReactComponent); + } + function G(e, r, t) { + if (e == null) + return ""; + if (typeof e == "function") + return pe(e, Ge(e)); + if (typeof e == "string") + return U(e); + switch (e) { + case S: + return U("Suspense"); + case v: + return U("SuspenseList"); + } + if (typeof e == "object") + switch (e.$$typeof) { + case d: + return Ve(e.render); + case j: + return G(e.type, r, t); + case p: { + var i = e, c = i._payload, l = i._init; + try { + return G(l(c), r, t); + } catch { + } + } + } + return ""; + } + var W = Object.prototype.hasOwnProperty, xe = {}, je = k.ReactDebugCurrentFrame; + function J(e) { + if (e) { + var r = e._owner, t = G(e.type, e._source, r ? r.type : null); + je.setExtraStackFrame(t); + } else + je.setExtraStackFrame(null); + } + function Je(e, r, t, i, c) { + { + var l = Function.call.bind(W); + for (var s in e) + if (l(e, s)) { + var o = void 0; + try { + if (typeof e[s] != "function") { + var g = Error((i || "React class") + ": " + t + " type `" + s + "` is invalid; it must be a function, usually from the `prop-types` package, but received `" + typeof e[s] + "`.This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`."); + throw g.name = "Invariant Violation", g; + } + o = e[s](r, s, i, t, null, "SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED"); + } catch (u) { + o = u; + } + o && !(o instanceof Error) && (J(c), _("%s: type specification of %s `%s` is invalid; the type checker function must return `null` or an `Error` but returned a %s. 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This value must be coerced to a string before before using it here.", Ke(e)), ye(e); + } + var Te = k.ReactCurrentOwner, Xe = { + key: !0, + ref: !0, + __self: !0, + __source: !0 + }, Ee, Re; + function He(e) { + if (W.call(e, "ref")) { + var r = Object.getOwnPropertyDescriptor(e, "ref").get; + if (r && r.isReactWarning) + return !1; + } + return e.ref !== void 0; + } + function Ze(e) { + if (W.call(e, "key")) { + var r = Object.getOwnPropertyDescriptor(e, "key").get; + if (r && r.isReactWarning) + return !1; + } + return e.key !== void 0; + } + function Qe(e, r) { + typeof e.ref == "string" && Te.current; + } + function er(e, r) { + { + var t = function() { + Ee || (Ee = !0, _("%s: `key` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)", r)); + }; + t.isReactWarning = !0, Object.defineProperty(e, "key", { + get: t, + configurable: !0 + }); + } + } + function rr(e, r) { + { + var t = function() { + Re || (Re = !0, _("%s: `ref` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)", r)); + }; + t.isReactWarning = !0, Object.defineProperty(e, "ref", { + get: t, + configurable: !0 + }); + } + } + var tr = function(e, r, t, i, c, l, s) { + var o = { + // This tag allows us to uniquely identify this as a React Element + $$typeof: y, + // Built-in properties that belong on the element + type: e, + key: r, + ref: t, + props: s, + // Record the component responsible for creating this element. + _owner: l + }; + return o._store = {}, Object.defineProperty(o._store, "validated", { + configurable: !1, + enumerable: !1, + writable: !0, + value: !1 + }), Object.defineProperty(o, "_self", { + configurable: !1, + enumerable: !1, + writable: !1, + value: i + }), Object.defineProperty(o, "_source", { + configurable: !1, + enumerable: !1, + writable: !1, + value: c + }), Object.freeze && (Object.freeze(o.props), Object.freeze(o)), o; + }; + function nr(e, r, t, i, c) { + { + var l, s = {}, o = null, g = null; + t !== void 0 && (be(t), o = "" + t), Ze(r) && (be(r.key), o = "" + r.key), He(r) && (g = r.ref, Qe(r, c)); + for (l in r) + W.call(r, l) && !Xe.hasOwnProperty(l) && (s[l] = r[l]); + if (e && e.defaultProps) { + var u = e.defaultProps; + for (l in u) + s[l] === void 0 && (s[l] = u[l]); + } + if (o || g) { + var f = typeof e == "function" ? e.displayName || e.name || "Unknown" : e; + o && er(s, f), g && rr(s, f); + } + return tr(e, o, g, c, i, Te.current, s); + } + } + var re = k.ReactCurrentOwner, Ce = k.ReactDebugCurrentFrame; + function D(e) { + if (e) { + var r = e._owner, t = G(e.type, e._source, r ? r.type : null); + Ce.setExtraStackFrame(t); + } else + Ce.setExtraStackFrame(null); + } + var te; + te = !1; + function ne(e) { + return typeof e == "object" && e !== null && e.$$typeof === y; + } + function Oe() { + { + if (re.current) { + var e = w(re.current.type); + if (e) + return ` + +Check the render method of \`` + e + "`."; + } + return ""; + } + } + function ar(e) { + return ""; + } + var Se = {}; + function ir(e) { + { + var r = Oe(); + if (!r) { + var t = typeof e == "string" ? e : e.displayName || e.name; + t && (r = ` + +Check the top-level render call using <` + t + ">."); + } + return r; + } + } + function we(e, r) { + { + if (!e._store || e._store.validated || e.key != null) + return; + e._store.validated = !0; + var t = ir(r); + if (Se[t]) + return; + Se[t] = !0; + var i = ""; + e && e._owner && e._owner !== re.current && (i = " It was passed a child from " + w(e._owner.type) + "."), D(e), _('Each child in a list should have a unique "key" prop.%s%s See https://reactjs.org/link/warning-keys for more information.', t, i), D(null); + } + } + function ke(e, r) { + { + if (typeof e != "object") + return; + if (ee(e)) + for (var t = 0; t < e.length; t++) { + var i = e[t]; + ne(i) && we(i, r); + } + else if (ne(e)) + e._store && (e._store.validated = !0); + else if (e) { + var c = se(e); + if (typeof c == "function" && c !== e.entries) + for (var l = c.call(e), s; !(s = l.next()).done; ) + ne(s.value) && we(s.value, r); + } + } + } + function or(e) { + { + var r = e.type; + if (r == null || typeof r == "string") + return; + var t; + if (typeof r == "function") + t = r.propTypes; + else if (typeof r == "object" && (r.$$typeof === d || // Note: Memo only checks outer props here. + // Inner props are checked in the reconciler. + r.$$typeof === j)) + t = r.propTypes; + else + return; + if (t) { + var i = w(r); + Je(t, e.props, "prop", i, e); + } else if (r.PropTypes !== void 0 && !te) { + te = !0; + var c = w(r); + _("Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?", c || "Unknown"); + } + typeof r.getDefaultProps == "function" && !r.getDefaultProps.isReactClassApproved && _("getDefaultProps is only used on classic React.createClass definitions. Use a static property named `defaultProps` instead."); + } + } + function sr(e) { + { + for (var r = Object.keys(e.props), t = 0; t < r.length; t++) { + var i = r[t]; + if (i !== "children" && i !== "key") { + D(e), _("Invalid prop `%s` supplied to `React.Fragment`. React.Fragment can only have `key` and `children` props.", i), D(null); + break; + } + } + e.ref !== null && (D(e), _("Invalid attribute `ref` supplied to `React.Fragment`."), D(null)); + } + } + var Ne = {}; + function Pe(e, r, t, i, c, l) { + { + var s = Me(e); + if (!s) { + var o = ""; + (e === void 0 || typeof e == "object" && e !== null && Object.keys(e).length === 0) && (o += " You likely forgot to export your component from the file it's defined in, or you might have mixed up default and named imports."); + var g = ar(); + g ? o += g : o += Oe(); + var u; + e === null ? u = "null" : ee(e) ? u = "array" : e !== void 0 && e.$$typeof === y ? (u = "<" + (w(e.type) || "Unknown") + " />", o = " Did you accidentally export a JSX literal instead of a component?") : u = typeof e, _("React.jsx: type is invalid -- expected a string (for built-in components) or a class/function (for composite components) but got: %s.%s", u, o); + } + var f = nr(e, r, t, c, l); + if (f == null) + return f; + if (s) { + var x = r.children; + if (x !== void 0) + if (i) + if (ee(x)) { + for (var F = 0; F < x.length; F++) + ke(x[F], e); + Object.freeze && Object.freeze(x); + } else + _("React.jsx: Static children should always be an array. You are likely explicitly calling React.jsxs or React.jsxDEV. Use the Babel transform instead."); + else + ke(x, e); + } + if (W.call(r, "key")) { + var P = w(e), h = Object.keys(r).filter(function(vr) { + return vr !== "key"; + }), ae = h.length > 0 ? "{key: someKey, " + h.join(": ..., ") + ": ...}" : "{key: someKey}"; + if (!Ne[P + ae]) { + var dr = h.length > 0 ? "{" + h.join(": ..., ") + ": ...}" : "{}"; + _(`A props object containing a "key" prop is being spread into JSX: + let props = %s; + <%s {...props} /> +React keys must be passed directly to JSX without using spread: + let props = %s; + <%s key={someKey} {...props} />`, ae, P, dr, P), Ne[P + ae] = !0; + } + } + return e === R ? sr(f) : or(f), f; + } + } + function cr(e, r, t) { + return Pe(e, r, t, !0); + } + function lr(e, r, t) { + return Pe(e, r, t, !1); + } + var ur = lr, fr = cr; + L.Fragment = R, L.jsx = ur, L.jsxs = fr; + }()), L; +} +process.env.NODE_ENV === "production" ? ie.exports = _r() : ie.exports = gr(); +var a = ie.exports; +const hr = "_container_18jex_3", mr = "_grid_18jex_18", pr = "_textBlock_18jex_34", xr = "_mainText_18jex_41", jr = "_delayed_18jex_50", yr = "_sphere_18jex_63", br = "_glitching_18jex_82", Tr = "_voxelOverlay_18jex_113", Er = "_visible_18jex_122", Rr = "_voxel_18jex_113", Cr = "_rebelText_18jex_137", Or = "_enterButton_18jex_146", Sr = "_migrationContent_18jex_168", wr = "_tagline_18jex_175", kr = "_notList_18jex_183", Nr = "_notItem_18jex_190", Pr = "_isText_18jex_212", Ar = "_ruleBox_18jex_221", Ir = "_ruleTitle_18jex_231", Dr = "_ruleContent_18jex_238", Fr = "_continueButton_18jex_244", Br = "_agreementContent_18jex_265", $r = "_agreementTitle_18jex_272", Mr = "_pledgeText_18jex_280", Wr = "_signatureArea_18jex_293", Yr = "_paper_18jex_302", Lr = "_signatureMark_18jex_313", Ur = "_pencil_18jex_339", Vr = "_animating_18jex_346", Gr = "_signButton_18jex_365", Jr = "_navigationContent_18jex_390", qr = "_welcomeText_18jex_397", Kr = "_choiceButtons_18jex_405", zr = "_choiceButton_18jex_405", Xr = "_choiceTitle_18jex_434", Hr = "_choiceDesc_18jex_440", Zr = "_arrow_18jex_445", Qr = "_screenFadeIn_18jex_463", n = { + container: hr, + grid: mr, + textBlock: pr, + mainText: xr, + delayed: jr, + sphere: yr, + glitching: br, + voxelOverlay: Tr, + visible: Er, + voxel: Rr, + rebelText: Cr, + enterButton: Or, + migrationContent: Sr, + tagline: wr, + notList: kr, + notItem: Nr, + isText: Pr, + ruleBox: Ar, + ruleTitle: Ir, + ruleContent: Dr, + continueButton: Fr, + agreementContent: Br, + agreementTitle: $r, + pledgeText: Mr, + signatureArea: Wr, + paper: Yr, + signatureMark: Lr, + pencil: Ur, + animating: Vr, + signButton: Gr, + navigationContent: Jr, + welcomeText: qr, + choiceButtons: Kr, + choiceButton: zr, + choiceTitle: Xr, + choiceDesc: Hr, + arrow: Zr, + screenFadeIn: Qr +}; +function rt({ + onComplete: A, + onProgress: y, + theme: m, + className: R +}) { + const [b, C] = q("disorientation"), [O, T] = q(!1), [d, S] = q(!1), [v, j] = q(!1), p = m ? { + "--gc-primary": m.primary, + "--gc-accent": m.accent, + "--gc-bg": m.bg, + "--gc-bgSecondary": m.bgSecondary, + "--gc-text": m.text, + "--gc-textMuted": m.textMuted, + "--gc-border": m.border + } : {}; + Ae(() => { + const E = { + disorientation: 25, + migration: 50, + agreement: 75, + navigation: 100 + }; + y == null || y(E[b]); + }, [b, y]), Ae(() => { + if (b !== "disorientation") return; + const E = () => { + T(!0), setTimeout(() => T(!1), 150); + }, $ = setTimeout(E, 4e3), z = setInterval(() => { + const X = Math.random() * 3e3 + 3e3; + setTimeout(E, X); + }, 6e3); + return () => { + clearTimeout($), clearInterval(z); + }; + }, [b]); + const I = Ie(() => { + S(!0), setTimeout(() => { + j(!0), setTimeout(() => { + C("navigation"); + }, 1e3); + }, 800); + }, []), B = Ie((E) => { + A({ + success: !0, + data: { + choice: E, + agreedToTerms: !0 + }, + rewards: { + achievements: ["onboarding_complete"], + unlocks: E === "lesson" ? ["tech_tree"] : ["character_builder"] + } + }); + }, [A]), K = { + disorientation: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.textBlock, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.mainText, children: "You are standing on a smooth sphere. It looks continuous. It feels continuous." }), + /* @__PURE__ */ a.jsx("div", { className: n.sphere + (O ? ` ${n.glitching}` : ""), children: /* @__PURE__ */ a.jsx("div", { className: n.voxelOverlay + (O ? ` ${n.visible}` : ""), children: Array.from({ length: 36 }).map((E, $) => /* @__PURE__ */ a.jsx("div", { className: n.voxel, style: { + opacity: Math.random() > 0.5 ? 0.8 : 0 + } }, $)) }) }), + /* @__PURE__ */ a.jsx("p", { className: `${n.mainText} ${n.delayed}`, children: "But what if it isn't?" }), + /* @__PURE__ */ a.jsxs("p", { className: n.rebelText, children: [ + "Most people assume the universe is continuous.", + /* @__PURE__ */ a.jsx("br", {}), + "We're not most people." + ] }), + /* @__PURE__ */ a.jsx( + "button", + { + className: n.enterButton, + onClick: () => C("migration"), + children: "Enter the Glitch" + } + ) + ] }) + ] }), + migration: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.migrationContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.tagline, children: "A migration project for physics. That might fail. Or not." }), + /* @__PURE__ */ a.jsxs("ul", { className: n.notList, children: [ + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not a fringe physics forum." }), + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not an online RPG." }), + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not a lecture series in philosophy, physics and computer science." }) + ] }), + /* @__PURE__ */ a.jsx("p", { className: n.isText, children: "It's all of those things." }), + /* @__PURE__ */ a.jsxs("div", { className: n.ruleBox, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.ruleTitle, children: "RULE 1" }), + /* @__PURE__ */ a.jsxs("div", { className: n.ruleContent, children: [ + "Nothing is obvious. Show it.", + /* @__PURE__ */ a.jsx("br", {}), + "Predictions matter more than opinions." + ] }) + ] }), + /* @__PURE__ */ a.jsx( + "button", + { + className: n.continueButton, + onClick: () => C("agreement"), + children: "Continue →" + } + ) + ] }) + ] }), + agreement: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.agreementContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.agreementTitle, children: "Make your mark and sign here" }), + /* @__PURE__ */ a.jsx("div", { className: n.pledgeText, children: '"I agree to test ideas against reality"' }), + /* @__PURE__ */ a.jsxs("div", { className: n.signatureArea, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.paper, children: /* @__PURE__ */ a.jsx("span", { className: n.signatureMark + (v ? ` ${n.visible}` : ""), children: "✕" }) }), + /* @__PURE__ */ a.jsx("span", { className: n.pencil + (d ? ` ${n.animating}` : ""), children: "✏️" }) + ] }), + !v && /* @__PURE__ */ a.jsx( + "button", + { + className: n.signButton, + onClick: I, + disabled: d, + children: "Sign" + } + ) + ] }) + ] }), + navigation: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.navigationContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.welcomeText, children: "Welcome to the Glitch. What would you like to do?" }), + /* @__PURE__ */ a.jsxs("div", { className: n.choiceButtons, children: [ + /* @__PURE__ */ a.jsxs( + "button", + { + className: n.choiceButton, + onClick: () => B("lesson"), + children: [ + /* @__PURE__ */ a.jsxs("div", { className: n.choiceTitle, children: [ + "Take me to the first lesson ", + /* @__PURE__ */ a.jsx("span", { className: n.arrow, children: "→" }) + ] }), + /* @__PURE__ */ a.jsx("div", { className: n.choiceDesc, children: "Opens the tech tree and begins your journey" }) + ] + } + ), + /* @__PURE__ */ a.jsxs( + "button", + { + className: n.choiceButton, + onClick: () => B("character"), + children: [ + /* @__PURE__ */ a.jsxs("div", { className: n.choiceTitle, children: [ + "Build my character first ", + /* @__PURE__ */ a.jsx("span", { className: n.arrow, children: "→" }) + ] }), + /* @__PURE__ */ a.jsx("div", { className: n.choiceDesc, children: "Customize your presence in the Glitch" }) + ] + } + ) + ] }) + ] }) + ] }) + }; + return /* @__PURE__ */ a.jsx("div", { className: R, children: K[b]() }); +} +const tt = { + name: "onboarding", + version: "1.0.0", + displayName: "Glitch University Onboarding", + description: "Multi-screen onboarding experience introducing users to the Glitch universe", + author: "Glitch.university", + paramSchema: {}, + tags: ["onboarding", "intro", "welcome"] +}; +export { + rt as OnboardingComponent, + rt as default, + tt as metadata +}; +//# sourceMappingURL=onboarding.js.map diff --git a/dist/glitch/glitch_onboarding/onboarding.js.map b/dist/glitch/glitch_onboarding/onboarding.js.map new file mode 100644 index 0000000..b9d5e06 --- /dev/null +++ b/dist/glitch/glitch_onboarding/onboarding.js.map @@ -0,0 +1 @@ +{"version":3,"file":"onboarding.js","sources":["../node_modules/react/cjs/react-jsx-runtime.production.min.js","../node_modules/react/cjs/react-jsx-runtime.development.js","../node_modules/react/jsx-runtime.js","../src/OnboardingComponent.tsx","../src/index.tsx"],"sourcesContent":["/**\n * @license React\n * react-jsx-runtime.production.min.js\n *\n * Copyright (c) Facebook, Inc. and its affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n'use strict';var f=require(\"react\"),k=Symbol.for(\"react.element\"),l=Symbol.for(\"react.fragment\"),m=Object.prototype.hasOwnProperty,n=f.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,p={key:!0,ref:!0,__self:!0,__source:!0};\nfunction q(c,a,g){var b,d={},e=null,h=null;void 0!==g&&(e=\"\"+g);void 0!==a.key&&(e=\"\"+a.key);void 0!==a.ref&&(h=a.ref);for(b in a)m.call(a,b)&&!p.hasOwnProperty(b)&&(d[b]=a[b]);if(c&&c.defaultProps)for(b in a=c.defaultProps,a)void 0===d[b]&&(d[b]=a[b]);return{$$typeof:k,type:c,key:e,ref:h,props:d,_owner:n.current}}exports.Fragment=l;exports.jsx=q;exports.jsxs=q;\n","/**\n * @license React\n * react-jsx-runtime.development.js\n *\n * Copyright (c) Facebook, Inc. and its affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n'use strict';\n\nif (process.env.NODE_ENV !== \"production\") {\n (function() {\n'use strict';\n\nvar React = require('react');\n\n// ATTENTION\n// When adding new symbols to this file,\n// Please consider also adding to 'react-devtools-shared/src/backend/ReactSymbols'\n// The Symbol used to tag the ReactElement-like types.\nvar REACT_ELEMENT_TYPE = Symbol.for('react.element');\nvar REACT_PORTAL_TYPE = Symbol.for('react.portal');\nvar REACT_FRAGMENT_TYPE = Symbol.for('react.fragment');\nvar REACT_STRICT_MODE_TYPE = Symbol.for('react.strict_mode');\nvar REACT_PROFILER_TYPE = Symbol.for('react.profiler');\nvar REACT_PROVIDER_TYPE = Symbol.for('react.provider');\nvar REACT_CONTEXT_TYPE = Symbol.for('react.context');\nvar REACT_FORWARD_REF_TYPE = Symbol.for('react.forward_ref');\nvar REACT_SUSPENSE_TYPE = Symbol.for('react.suspense');\nvar REACT_SUSPENSE_LIST_TYPE = Symbol.for('react.suspense_list');\nvar REACT_MEMO_TYPE = Symbol.for('react.memo');\nvar REACT_LAZY_TYPE = Symbol.for('react.lazy');\nvar REACT_OFFSCREEN_TYPE = Symbol.for('react.offscreen');\nvar MAYBE_ITERATOR_SYMBOL = Symbol.iterator;\nvar FAUX_ITERATOR_SYMBOL = '@@iterator';\nfunction getIteratorFn(maybeIterable) {\n if (maybeIterable === null || typeof maybeIterable !== 'object') {\n return null;\n }\n\n var maybeIterator = MAYBE_ITERATOR_SYMBOL && maybeIterable[MAYBE_ITERATOR_SYMBOL] || maybeIterable[FAUX_ITERATOR_SYMBOL];\n\n if (typeof maybeIterator === 'function') {\n return maybeIterator;\n }\n\n return null;\n}\n\nvar ReactSharedInternals = React.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;\n\nfunction error(format) {\n {\n {\n for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {\n args[_key2 - 1] = arguments[_key2];\n }\n\n printWarning('error', format, args);\n }\n }\n}\n\nfunction printWarning(level, format, args) {\n // When changing this logic, you might want to also\n // update consoleWithStackDev.www.js as well.\n {\n var ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame;\n var stack = ReactDebugCurrentFrame.getStackAddendum();\n\n if (stack !== '') {\n format += '%s';\n args = args.concat([stack]);\n } // eslint-disable-next-line react-internal/safe-string-coercion\n\n\n var argsWithFormat = args.map(function (item) {\n return String(item);\n }); // Careful: RN currently depends on this prefix\n\n argsWithFormat.unshift('Warning: ' + format); // We intentionally don't use spread (or .apply) directly because it\n // breaks IE9: https://github.com/facebook/react/issues/13610\n // eslint-disable-next-line react-internal/no-production-logging\n\n Function.prototype.apply.call(console[level], console, argsWithFormat);\n }\n}\n\n// -----------------------------------------------------------------------------\n\nvar enableScopeAPI = false; // Experimental Create Event Handle API.\nvar enableCacheElement = false;\nvar enableTransitionTracing = false; // No known bugs, but needs performance testing\n\nvar enableLegacyHidden = false; // Enables unstable_avoidThisFallback feature in Fiber\n// stuff. Intended to enable React core members to more easily debug scheduling\n// issues in DEV builds.\n\nvar enableDebugTracing = false; // Track which Fiber(s) schedule render work.\n\nvar REACT_MODULE_REFERENCE;\n\n{\n REACT_MODULE_REFERENCE = Symbol.for('react.module.reference');\n}\n\nfunction isValidElementType(type) {\n if (typeof type === 'string' || typeof type === 'function') {\n return true;\n } // Note: typeof might be other than 'symbol' or 'number' (e.g. if it's a polyfill).\n\n\n if (type === REACT_FRAGMENT_TYPE || type === REACT_PROFILER_TYPE || enableDebugTracing || type === REACT_STRICT_MODE_TYPE || type === REACT_SUSPENSE_TYPE || type === REACT_SUSPENSE_LIST_TYPE || enableLegacyHidden || type === REACT_OFFSCREEN_TYPE || enableScopeAPI || enableCacheElement || enableTransitionTracing ) {\n return true;\n }\n\n if (typeof type === 'object' && type !== null) {\n if (type.$$typeof === REACT_LAZY_TYPE || type.$$typeof === REACT_MEMO_TYPE || type.$$typeof === REACT_PROVIDER_TYPE || type.$$typeof === REACT_CONTEXT_TYPE || type.$$typeof === REACT_FORWARD_REF_TYPE || // This needs to include all possible module reference object\n // types supported by any Flight configuration anywhere since\n // we don't know which Flight build this will end up being used\n // with.\n type.$$typeof === REACT_MODULE_REFERENCE || type.getModuleId !== undefined) {\n return true;\n }\n }\n\n return false;\n}\n\nfunction getWrappedName(outerType, innerType, wrapperName) {\n var displayName = outerType.displayName;\n\n if (displayName) {\n return displayName;\n }\n\n var functionName = innerType.displayName || innerType.name || '';\n return functionName !== '' ? wrapperName + \"(\" + functionName + \")\" : wrapperName;\n} // Keep in sync with react-reconciler/getComponentNameFromFiber\n\n\nfunction getContextName(type) {\n return type.displayName || 'Context';\n} // Note that the reconciler package should generally prefer to use getComponentNameFromFiber() instead.\n\n\nfunction getComponentNameFromType(type) {\n if (type == null) {\n // Host root, text node or just invalid type.\n return null;\n }\n\n {\n if (typeof type.tag === 'number') {\n error('Received an unexpected object in getComponentNameFromType(). ' + 'This is likely a bug in React. Please file an issue.');\n }\n }\n\n if (typeof type === 'function') {\n return type.displayName || type.name || null;\n }\n\n if (typeof type === 'string') {\n return type;\n }\n\n switch (type) {\n case REACT_FRAGMENT_TYPE:\n return 'Fragment';\n\n case REACT_PORTAL_TYPE:\n return 'Portal';\n\n case REACT_PROFILER_TYPE:\n return 'Profiler';\n\n case REACT_STRICT_MODE_TYPE:\n return 'StrictMode';\n\n case REACT_SUSPENSE_TYPE:\n return 'Suspense';\n\n case REACT_SUSPENSE_LIST_TYPE:\n return 'SuspenseList';\n\n }\n\n if (typeof type === 'object') {\n switch (type.$$typeof) {\n case REACT_CONTEXT_TYPE:\n var context = type;\n return getContextName(context) + '.Consumer';\n\n case REACT_PROVIDER_TYPE:\n var provider = type;\n return getContextName(provider._context) + '.Provider';\n\n case REACT_FORWARD_REF_TYPE:\n return getWrappedName(type, type.render, 'ForwardRef');\n\n case REACT_MEMO_TYPE:\n var outerName = type.displayName || null;\n\n if (outerName !== null) {\n return outerName;\n }\n\n return getComponentNameFromType(type.type) || 'Memo';\n\n case REACT_LAZY_TYPE:\n {\n var lazyComponent = type;\n var payload = lazyComponent._payload;\n var init = lazyComponent._init;\n\n try {\n return getComponentNameFromType(init(payload));\n } catch (x) {\n return null;\n }\n }\n\n // eslint-disable-next-line no-fallthrough\n }\n }\n\n return null;\n}\n\nvar assign = Object.assign;\n\n// Helpers to patch console.logs to avoid logging during side-effect free\n// replaying on render function. This currently only patches the object\n// lazily which won't cover if the log function was extracted eagerly.\n// We could also eagerly patch the method.\nvar disabledDepth = 0;\nvar prevLog;\nvar prevInfo;\nvar prevWarn;\nvar prevError;\nvar prevGroup;\nvar prevGroupCollapsed;\nvar prevGroupEnd;\n\nfunction disabledLog() {}\n\ndisabledLog.__reactDisabledLog = true;\nfunction disableLogs() {\n {\n if (disabledDepth === 0) {\n /* eslint-disable react-internal/no-production-logging */\n prevLog = console.log;\n prevInfo = console.info;\n prevWarn = console.warn;\n prevError = console.error;\n prevGroup = console.group;\n prevGroupCollapsed = console.groupCollapsed;\n prevGroupEnd = console.groupEnd; // https://github.com/facebook/react/issues/19099\n\n var props = {\n configurable: true,\n enumerable: true,\n value: disabledLog,\n writable: true\n }; // $FlowFixMe Flow thinks console is immutable.\n\n Object.defineProperties(console, {\n info: props,\n log: props,\n warn: props,\n error: props,\n group: props,\n groupCollapsed: props,\n groupEnd: props\n });\n /* eslint-enable react-internal/no-production-logging */\n }\n\n disabledDepth++;\n }\n}\nfunction reenableLogs() {\n {\n disabledDepth--;\n\n if (disabledDepth === 0) {\n /* eslint-disable react-internal/no-production-logging */\n var props = {\n configurable: true,\n enumerable: true,\n writable: true\n }; // $FlowFixMe Flow thinks console is immutable.\n\n Object.defineProperties(console, {\n log: assign({}, props, {\n value: prevLog\n }),\n info: assign({}, props, {\n value: prevInfo\n }),\n warn: assign({}, props, {\n value: prevWarn\n }),\n error: assign({}, props, {\n value: prevError\n }),\n group: assign({}, props, {\n value: prevGroup\n }),\n groupCollapsed: assign({}, props, {\n value: prevGroupCollapsed\n }),\n groupEnd: assign({}, props, {\n value: prevGroupEnd\n })\n });\n /* eslint-enable react-internal/no-production-logging */\n }\n\n if (disabledDepth < 0) {\n error('disabledDepth fell below zero. ' + 'This is a bug in React. Please file an issue.');\n }\n }\n}\n\nvar ReactCurrentDispatcher = ReactSharedInternals.ReactCurrentDispatcher;\nvar prefix;\nfunction describeBuiltInComponentFrame(name, source, ownerFn) {\n {\n if (prefix === undefined) {\n // Extract the VM specific prefix used by each line.\n try {\n throw Error();\n } catch (x) {\n var match = x.stack.trim().match(/\\n( *(at )?)/);\n prefix = match && match[1] || '';\n }\n } // We use the prefix to ensure our stacks line up with native stack frames.\n\n\n return '\\n' + prefix + name;\n }\n}\nvar reentry = false;\nvar componentFrameCache;\n\n{\n var PossiblyWeakMap = typeof WeakMap === 'function' ? WeakMap : Map;\n componentFrameCache = new PossiblyWeakMap();\n}\n\nfunction describeNativeComponentFrame(fn, construct) {\n // If something asked for a stack inside a fake render, it should get ignored.\n if ( !fn || reentry) {\n return '';\n }\n\n {\n var frame = componentFrameCache.get(fn);\n\n if (frame !== undefined) {\n return frame;\n }\n }\n\n var control;\n reentry = true;\n var previousPrepareStackTrace = Error.prepareStackTrace; // $FlowFixMe It does accept undefined.\n\n Error.prepareStackTrace = undefined;\n var previousDispatcher;\n\n {\n previousDispatcher = ReactCurrentDispatcher.current; // Set the dispatcher in DEV because this might be call in the render function\n // for warnings.\n\n ReactCurrentDispatcher.current = null;\n disableLogs();\n }\n\n try {\n // This should throw.\n if (construct) {\n // Something should be setting the props in the constructor.\n var Fake = function () {\n throw Error();\n }; // $FlowFixMe\n\n\n Object.defineProperty(Fake.prototype, 'props', {\n set: function () {\n // We use a throwing setter instead of frozen or non-writable props\n // because that won't throw in a non-strict mode function.\n throw Error();\n }\n });\n\n if (typeof Reflect === 'object' && Reflect.construct) {\n // We construct a different control for this case to include any extra\n // frames added by the construct call.\n try {\n Reflect.construct(Fake, []);\n } catch (x) {\n control = x;\n }\n\n Reflect.construct(fn, [], Fake);\n } else {\n try {\n Fake.call();\n } catch (x) {\n control = x;\n }\n\n fn.call(Fake.prototype);\n }\n } else {\n try {\n throw Error();\n } catch (x) {\n control = x;\n }\n\n fn();\n }\n } catch (sample) {\n // This is inlined manually because closure doesn't do it for us.\n if (sample && control && typeof sample.stack === 'string') {\n // This extracts the first frame from the sample that isn't also in the control.\n // Skipping one frame that we assume is the frame that calls the two.\n var sampleLines = sample.stack.split('\\n');\n var controlLines = control.stack.split('\\n');\n var s = sampleLines.length - 1;\n var c = controlLines.length - 1;\n\n while (s >= 1 && c >= 0 && sampleLines[s] !== controlLines[c]) {\n // We expect at least one stack frame to be shared.\n // Typically this will be the root most one. However, stack frames may be\n // cut off due to maximum stack limits. In this case, one maybe cut off\n // earlier than the other. We assume that the sample is longer or the same\n // and there for cut off earlier. So we should find the root most frame in\n // the sample somewhere in the control.\n c--;\n }\n\n for (; s >= 1 && c >= 0; s--, c--) {\n // Next we find the first one that isn't the same which should be the\n // frame that called our sample function and the control.\n if (sampleLines[s] !== controlLines[c]) {\n // In V8, the first line is describing the message but other VMs don't.\n // If we're about to return the first line, and the control is also on the same\n // line, that's a pretty good indicator that our sample threw at same line as\n // the control. I.e. before we entered the sample frame. So we ignore this result.\n // This can happen if you passed a class to function component, or non-function.\n if (s !== 1 || c !== 1) {\n do {\n s--;\n c--; // We may still have similar intermediate frames from the construct call.\n // The next one that isn't the same should be our match though.\n\n if (c < 0 || sampleLines[s] !== controlLines[c]) {\n // V8 adds a \"new\" prefix for native classes. Let's remove it to make it prettier.\n var _frame = '\\n' + sampleLines[s].replace(' at new ', ' at '); // If our component frame is labeled \"\"\n // but we have a user-provided \"displayName\"\n // splice it in to make the stack more readable.\n\n\n if (fn.displayName && _frame.includes('')) {\n _frame = _frame.replace('', fn.displayName);\n }\n\n {\n if (typeof fn === 'function') {\n componentFrameCache.set(fn, _frame);\n }\n } // Return the line we found.\n\n\n return _frame;\n }\n } while (s >= 1 && c >= 0);\n }\n\n break;\n }\n }\n }\n } finally {\n reentry = false;\n\n {\n ReactCurrentDispatcher.current = previousDispatcher;\n reenableLogs();\n }\n\n Error.prepareStackTrace = previousPrepareStackTrace;\n } // Fallback to just using the name if we couldn't make it throw.\n\n\n var name = fn ? fn.displayName || fn.name : '';\n var syntheticFrame = name ? describeBuiltInComponentFrame(name) : '';\n\n {\n if (typeof fn === 'function') {\n componentFrameCache.set(fn, syntheticFrame);\n }\n }\n\n return syntheticFrame;\n}\nfunction describeFunctionComponentFrame(fn, source, ownerFn) {\n {\n return describeNativeComponentFrame(fn, false);\n }\n}\n\nfunction shouldConstruct(Component) {\n var prototype = Component.prototype;\n return !!(prototype && prototype.isReactComponent);\n}\n\nfunction describeUnknownElementTypeFrameInDEV(type, source, ownerFn) {\n\n if (type == null) {\n return '';\n }\n\n if (typeof type === 'function') {\n {\n return describeNativeComponentFrame(type, shouldConstruct(type));\n }\n }\n\n if (typeof type === 'string') {\n return describeBuiltInComponentFrame(type);\n }\n\n switch (type) {\n case REACT_SUSPENSE_TYPE:\n return describeBuiltInComponentFrame('Suspense');\n\n case REACT_SUSPENSE_LIST_TYPE:\n return describeBuiltInComponentFrame('SuspenseList');\n }\n\n if (typeof type === 'object') {\n switch (type.$$typeof) {\n case REACT_FORWARD_REF_TYPE:\n return describeFunctionComponentFrame(type.render);\n\n case REACT_MEMO_TYPE:\n // Memo may contain any component type so we recursively resolve it.\n return describeUnknownElementTypeFrameInDEV(type.type, source, ownerFn);\n\n case REACT_LAZY_TYPE:\n {\n var lazyComponent = type;\n var payload = lazyComponent._payload;\n var init = lazyComponent._init;\n\n try {\n // Lazy may contain any component type so we recursively resolve it.\n return describeUnknownElementTypeFrameInDEV(init(payload), source, ownerFn);\n } catch (x) {}\n }\n }\n }\n\n return '';\n}\n\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\n\nvar loggedTypeFailures = {};\nvar ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame;\n\nfunction setCurrentlyValidatingElement(element) {\n {\n if (element) {\n var owner = element._owner;\n var stack = describeUnknownElementTypeFrameInDEV(element.type, element._source, owner ? owner.type : null);\n ReactDebugCurrentFrame.setExtraStackFrame(stack);\n } else {\n ReactDebugCurrentFrame.setExtraStackFrame(null);\n }\n }\n}\n\nfunction checkPropTypes(typeSpecs, values, location, componentName, element) {\n {\n // $FlowFixMe This is okay but Flow doesn't know it.\n var has = Function.call.bind(hasOwnProperty);\n\n for (var typeSpecName in typeSpecs) {\n if (has(typeSpecs, typeSpecName)) {\n var error$1 = void 0; // Prop type validation may throw. In case they do, we don't want to\n // fail the render phase where it didn't fail before. So we log it.\n // After these have been cleaned up, we'll let them throw.\n\n try {\n // This is intentionally an invariant that gets caught. It's the same\n // behavior as without this statement except with a better message.\n if (typeof typeSpecs[typeSpecName] !== 'function') {\n // eslint-disable-next-line react-internal/prod-error-codes\n var err = Error((componentName || 'React class') + ': ' + location + ' type `' + typeSpecName + '` is invalid; ' + 'it must be a function, usually from the `prop-types` package, but received `' + typeof typeSpecs[typeSpecName] + '`.' + 'This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`.');\n err.name = 'Invariant Violation';\n throw err;\n }\n\n error$1 = typeSpecs[typeSpecName](values, typeSpecName, componentName, location, null, 'SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED');\n } catch (ex) {\n error$1 = ex;\n }\n\n if (error$1 && !(error$1 instanceof Error)) {\n setCurrentlyValidatingElement(element);\n\n error('%s: type specification of %s' + ' `%s` is invalid; the type checker ' + 'function must return `null` or an `Error` but returned a %s. ' + 'You may have forgotten to pass an argument to the type checker ' + 'creator (arrayOf, instanceOf, objectOf, oneOf, oneOfType, and ' + 'shape all require an argument).', componentName || 'React class', location, typeSpecName, typeof error$1);\n\n setCurrentlyValidatingElement(null);\n }\n\n if (error$1 instanceof Error && !(error$1.message in loggedTypeFailures)) {\n // Only monitor this failure once because there tends to be a lot of the\n // same error.\n loggedTypeFailures[error$1.message] = true;\n setCurrentlyValidatingElement(element);\n\n error('Failed %s type: %s', location, error$1.message);\n\n setCurrentlyValidatingElement(null);\n }\n }\n }\n }\n}\n\nvar isArrayImpl = Array.isArray; // eslint-disable-next-line no-redeclare\n\nfunction isArray(a) {\n return isArrayImpl(a);\n}\n\n/*\n * The `'' + value` pattern (used in in perf-sensitive code) throws for Symbol\n * and Temporal.* types. See https://github.com/facebook/react/pull/22064.\n *\n * The functions in this module will throw an easier-to-understand,\n * easier-to-debug exception with a clear errors message message explaining the\n * problem. (Instead of a confusing exception thrown inside the implementation\n * of the `value` object).\n */\n// $FlowFixMe only called in DEV, so void return is not possible.\nfunction typeName(value) {\n {\n // toStringTag is needed for namespaced types like Temporal.Instant\n var hasToStringTag = typeof Symbol === 'function' && Symbol.toStringTag;\n var type = hasToStringTag && value[Symbol.toStringTag] || value.constructor.name || 'Object';\n return type;\n }\n} // $FlowFixMe only called in DEV, so void return is not possible.\n\n\nfunction willCoercionThrow(value) {\n {\n try {\n testStringCoercion(value);\n return false;\n } catch (e) {\n return true;\n }\n }\n}\n\nfunction testStringCoercion(value) {\n // If you ended up here by following an exception call stack, here's what's\n // happened: you supplied an object or symbol value to React (as a prop, key,\n // DOM attribute, CSS property, string ref, etc.) and when React tried to\n // coerce it to a string using `'' + value`, an exception was thrown.\n //\n // The most common types that will cause this exception are `Symbol` instances\n // and Temporal objects like `Temporal.Instant`. But any object that has a\n // `valueOf` or `[Symbol.toPrimitive]` method that throws will also cause this\n // exception. (Library authors do this to prevent users from using built-in\n // numeric operators like `+` or comparison operators like `>=` because custom\n // methods are needed to perform accurate arithmetic or comparison.)\n //\n // To fix the problem, coerce this object or symbol value to a string before\n // passing it to React. The most reliable way is usually `String(value)`.\n //\n // To find which value is throwing, check the browser or debugger console.\n // Before this exception was thrown, there should be `console.error` output\n // that shows the type (Symbol, Temporal.PlainDate, etc.) that caused the\n // problem and how that type was used: key, atrribute, input value prop, etc.\n // In most cases, this console output also shows the component and its\n // ancestor components where the exception happened.\n //\n // eslint-disable-next-line react-internal/safe-string-coercion\n return '' + value;\n}\nfunction checkKeyStringCoercion(value) {\n {\n if (willCoercionThrow(value)) {\n error('The provided key is an unsupported type %s.' + ' This value must be coerced to a string before before using it here.', typeName(value));\n\n return testStringCoercion(value); // throw (to help callers find troubleshooting comments)\n }\n }\n}\n\nvar ReactCurrentOwner = ReactSharedInternals.ReactCurrentOwner;\nvar RESERVED_PROPS = {\n key: true,\n ref: true,\n __self: true,\n __source: true\n};\nvar specialPropKeyWarningShown;\nvar specialPropRefWarningShown;\nvar didWarnAboutStringRefs;\n\n{\n didWarnAboutStringRefs = {};\n}\n\nfunction hasValidRef(config) {\n {\n if (hasOwnProperty.call(config, 'ref')) {\n var getter = Object.getOwnPropertyDescriptor(config, 'ref').get;\n\n if (getter && getter.isReactWarning) {\n return false;\n }\n }\n }\n\n return config.ref !== undefined;\n}\n\nfunction hasValidKey(config) {\n {\n if (hasOwnProperty.call(config, 'key')) {\n var getter = Object.getOwnPropertyDescriptor(config, 'key').get;\n\n if (getter && getter.isReactWarning) {\n return false;\n }\n }\n }\n\n return config.key !== undefined;\n}\n\nfunction warnIfStringRefCannotBeAutoConverted(config, self) {\n {\n if (typeof config.ref === 'string' && ReactCurrentOwner.current && self && ReactCurrentOwner.current.stateNode !== self) {\n var componentName = getComponentNameFromType(ReactCurrentOwner.current.type);\n\n if (!didWarnAboutStringRefs[componentName]) {\n error('Component \"%s\" contains the string ref \"%s\". ' + 'Support for string refs will be removed in a future major release. ' + 'This case cannot be automatically converted to an arrow function. ' + 'We ask you to manually fix this case by using useRef() or createRef() instead. ' + 'Learn more about using refs safely here: ' + 'https://reactjs.org/link/strict-mode-string-ref', getComponentNameFromType(ReactCurrentOwner.current.type), config.ref);\n\n didWarnAboutStringRefs[componentName] = true;\n }\n }\n }\n}\n\nfunction defineKeyPropWarningGetter(props, displayName) {\n {\n var warnAboutAccessingKey = function () {\n if (!specialPropKeyWarningShown) {\n specialPropKeyWarningShown = true;\n\n error('%s: `key` is not a prop. Trying to access it will result ' + 'in `undefined` being returned. If you need to access the same ' + 'value within the child component, you should pass it as a different ' + 'prop. (https://reactjs.org/link/special-props)', displayName);\n }\n };\n\n warnAboutAccessingKey.isReactWarning = true;\n Object.defineProperty(props, 'key', {\n get: warnAboutAccessingKey,\n configurable: true\n });\n }\n}\n\nfunction defineRefPropWarningGetter(props, displayName) {\n {\n var warnAboutAccessingRef = function () {\n if (!specialPropRefWarningShown) {\n specialPropRefWarningShown = true;\n\n error('%s: `ref` is not a prop. Trying to access it will result ' + 'in `undefined` being returned. If you need to access the same ' + 'value within the child component, you should pass it as a different ' + 'prop. (https://reactjs.org/link/special-props)', displayName);\n }\n };\n\n warnAboutAccessingRef.isReactWarning = true;\n Object.defineProperty(props, 'ref', {\n get: warnAboutAccessingRef,\n configurable: true\n });\n }\n}\n/**\n * Factory method to create a new React element. This no longer adheres to\n * the class pattern, so do not use new to call it. Also, instanceof check\n * will not work. Instead test $$typeof field against Symbol.for('react.element') to check\n * if something is a React Element.\n *\n * @param {*} type\n * @param {*} props\n * @param {*} key\n * @param {string|object} ref\n * @param {*} owner\n * @param {*} self A *temporary* helper to detect places where `this` is\n * different from the `owner` when React.createElement is called, so that we\n * can warn. We want to get rid of owner and replace string `ref`s with arrow\n * functions, and as long as `this` and owner are the same, there will be no\n * change in behavior.\n * @param {*} source An annotation object (added by a transpiler or otherwise)\n * indicating filename, line number, and/or other information.\n * @internal\n */\n\n\nvar ReactElement = function (type, key, ref, self, source, owner, props) {\n var element = {\n // This tag allows us to uniquely identify this as a React Element\n $$typeof: REACT_ELEMENT_TYPE,\n // Built-in properties that belong on the element\n type: type,\n key: key,\n ref: ref,\n props: props,\n // Record the component responsible for creating this element.\n _owner: owner\n };\n\n {\n // The validation flag is currently mutative. We put it on\n // an external backing store so that we can freeze the whole object.\n // This can be replaced with a WeakMap once they are implemented in\n // commonly used development environments.\n element._store = {}; // To make comparing ReactElements easier for testing purposes, we make\n // the validation flag non-enumerable (where possible, which should\n // include every environment we run tests in), so the test framework\n // ignores it.\n\n Object.defineProperty(element._store, 'validated', {\n configurable: false,\n enumerable: false,\n writable: true,\n value: false\n }); // self and source are DEV only properties.\n\n Object.defineProperty(element, '_self', {\n configurable: false,\n enumerable: false,\n writable: false,\n value: self\n }); // Two elements created in two different places should be considered\n // equal for testing purposes and therefore we hide it from enumeration.\n\n Object.defineProperty(element, '_source', {\n configurable: false,\n enumerable: false,\n writable: false,\n value: source\n });\n\n if (Object.freeze) {\n Object.freeze(element.props);\n Object.freeze(element);\n }\n }\n\n return element;\n};\n/**\n * https://github.com/reactjs/rfcs/pull/107\n * @param {*} type\n * @param {object} props\n * @param {string} key\n */\n\nfunction jsxDEV(type, config, maybeKey, source, self) {\n {\n var propName; // Reserved names are extracted\n\n var props = {};\n var key = null;\n var ref = null; // Currently, key can be spread in as a prop. This causes a potential\n // issue if key is also explicitly declared (ie.
\n // or
). We want to deprecate key spread,\n // but as an intermediary step, we will use jsxDEV for everything except\n //
, because we aren't currently able to tell if\n // key is explicitly declared to be undefined or not.\n\n if (maybeKey !== undefined) {\n {\n checkKeyStringCoercion(maybeKey);\n }\n\n key = '' + maybeKey;\n }\n\n if (hasValidKey(config)) {\n {\n checkKeyStringCoercion(config.key);\n }\n\n key = '' + config.key;\n }\n\n if (hasValidRef(config)) {\n ref = config.ref;\n warnIfStringRefCannotBeAutoConverted(config, self);\n } // Remaining properties are added to a new props object\n\n\n for (propName in config) {\n if (hasOwnProperty.call(config, propName) && !RESERVED_PROPS.hasOwnProperty(propName)) {\n props[propName] = config[propName];\n }\n } // Resolve default props\n\n\n if (type && type.defaultProps) {\n var defaultProps = type.defaultProps;\n\n for (propName in defaultProps) {\n if (props[propName] === undefined) {\n props[propName] = defaultProps[propName];\n }\n }\n }\n\n if (key || ref) {\n var displayName = typeof type === 'function' ? type.displayName || type.name || 'Unknown' : type;\n\n if (key) {\n defineKeyPropWarningGetter(props, displayName);\n }\n\n if (ref) {\n defineRefPropWarningGetter(props, displayName);\n }\n }\n\n return ReactElement(type, key, ref, self, source, ReactCurrentOwner.current, props);\n }\n}\n\nvar ReactCurrentOwner$1 = ReactSharedInternals.ReactCurrentOwner;\nvar ReactDebugCurrentFrame$1 = ReactSharedInternals.ReactDebugCurrentFrame;\n\nfunction setCurrentlyValidatingElement$1(element) {\n {\n if (element) {\n var owner = element._owner;\n var stack = describeUnknownElementTypeFrameInDEV(element.type, element._source, owner ? owner.type : null);\n ReactDebugCurrentFrame$1.setExtraStackFrame(stack);\n } else {\n ReactDebugCurrentFrame$1.setExtraStackFrame(null);\n }\n }\n}\n\nvar propTypesMisspellWarningShown;\n\n{\n propTypesMisspellWarningShown = false;\n}\n/**\n * Verifies the object is a ReactElement.\n * See https://reactjs.org/docs/react-api.html#isvalidelement\n * @param {?object} object\n * @return {boolean} True if `object` is a ReactElement.\n * @final\n */\n\n\nfunction isValidElement(object) {\n {\n return typeof object === 'object' && object !== null && object.$$typeof === REACT_ELEMENT_TYPE;\n }\n}\n\nfunction getDeclarationErrorAddendum() {\n {\n if (ReactCurrentOwner$1.current) {\n var name = getComponentNameFromType(ReactCurrentOwner$1.current.type);\n\n if (name) {\n return '\\n\\nCheck the render method of `' + name + '`.';\n }\n }\n\n return '';\n }\n}\n\nfunction getSourceInfoErrorAddendum(source) {\n {\n if (source !== undefined) {\n var fileName = source.fileName.replace(/^.*[\\\\\\/]/, '');\n var lineNumber = source.lineNumber;\n return '\\n\\nCheck your code at ' + fileName + ':' + lineNumber + '.';\n }\n\n return '';\n }\n}\n/**\n * Warn if there's no key explicitly set on dynamic arrays of children or\n * object keys are not valid. This allows us to keep track of children between\n * updates.\n */\n\n\nvar ownerHasKeyUseWarning = {};\n\nfunction getCurrentComponentErrorInfo(parentType) {\n {\n var info = getDeclarationErrorAddendum();\n\n if (!info) {\n var parentName = typeof parentType === 'string' ? parentType : parentType.displayName || parentType.name;\n\n if (parentName) {\n info = \"\\n\\nCheck the top-level render call using <\" + parentName + \">.\";\n }\n }\n\n return info;\n }\n}\n/**\n * Warn if the element doesn't have an explicit key assigned to it.\n * This element is in an array. The array could grow and shrink or be\n * reordered. All children that haven't already been validated are required to\n * have a \"key\" property assigned to it. Error statuses are cached so a warning\n * will only be shown once.\n *\n * @internal\n * @param {ReactElement} element Element that requires a key.\n * @param {*} parentType element's parent's type.\n */\n\n\nfunction validateExplicitKey(element, parentType) {\n {\n if (!element._store || element._store.validated || element.key != null) {\n return;\n }\n\n element._store.validated = true;\n var currentComponentErrorInfo = getCurrentComponentErrorInfo(parentType);\n\n if (ownerHasKeyUseWarning[currentComponentErrorInfo]) {\n return;\n }\n\n ownerHasKeyUseWarning[currentComponentErrorInfo] = true; // Usually the current owner is the offender, but if it accepts children as a\n // property, it may be the creator of the child that's responsible for\n // assigning it a key.\n\n var childOwner = '';\n\n if (element && element._owner && element._owner !== ReactCurrentOwner$1.current) {\n // Give the component that originally created this child.\n childOwner = \" It was passed a child from \" + getComponentNameFromType(element._owner.type) + \".\";\n }\n\n setCurrentlyValidatingElement$1(element);\n\n error('Each child in a list should have a unique \"key\" prop.' + '%s%s See https://reactjs.org/link/warning-keys for more information.', currentComponentErrorInfo, childOwner);\n\n setCurrentlyValidatingElement$1(null);\n }\n}\n/**\n * Ensure that every element either is passed in a static location, in an\n * array with an explicit keys property defined, or in an object literal\n * with valid key property.\n *\n * @internal\n * @param {ReactNode} node Statically passed child of any type.\n * @param {*} parentType node's parent's type.\n */\n\n\nfunction validateChildKeys(node, parentType) {\n {\n if (typeof node !== 'object') {\n return;\n }\n\n if (isArray(node)) {\n for (var i = 0; i < node.length; i++) {\n var child = node[i];\n\n if (isValidElement(child)) {\n validateExplicitKey(child, parentType);\n }\n }\n } else if (isValidElement(node)) {\n // This element was passed in a valid location.\n if (node._store) {\n node._store.validated = true;\n }\n } else if (node) {\n var iteratorFn = getIteratorFn(node);\n\n if (typeof iteratorFn === 'function') {\n // Entry iterators used to provide implicit keys,\n // but now we print a separate warning for them later.\n if (iteratorFn !== node.entries) {\n var iterator = iteratorFn.call(node);\n var step;\n\n while (!(step = iterator.next()).done) {\n if (isValidElement(step.value)) {\n validateExplicitKey(step.value, parentType);\n }\n }\n }\n }\n }\n }\n}\n/**\n * Given an element, validate that its props follow the propTypes definition,\n * provided by the type.\n *\n * @param {ReactElement} element\n */\n\n\nfunction validatePropTypes(element) {\n {\n var type = element.type;\n\n if (type === null || type === undefined || typeof type === 'string') {\n return;\n }\n\n var propTypes;\n\n if (typeof type === 'function') {\n propTypes = type.propTypes;\n } else if (typeof type === 'object' && (type.$$typeof === REACT_FORWARD_REF_TYPE || // Note: Memo only checks outer props here.\n // Inner props are checked in the reconciler.\n type.$$typeof === REACT_MEMO_TYPE)) {\n propTypes = type.propTypes;\n } else {\n return;\n }\n\n if (propTypes) {\n // Intentionally inside to avoid triggering lazy initializers:\n var name = getComponentNameFromType(type);\n checkPropTypes(propTypes, element.props, 'prop', name, element);\n } else if (type.PropTypes !== undefined && !propTypesMisspellWarningShown) {\n propTypesMisspellWarningShown = true; // Intentionally inside to avoid triggering lazy initializers:\n\n var _name = getComponentNameFromType(type);\n\n error('Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?', _name || 'Unknown');\n }\n\n if (typeof type.getDefaultProps === 'function' && !type.getDefaultProps.isReactClassApproved) {\n error('getDefaultProps is only used on classic React.createClass ' + 'definitions. Use a static property named `defaultProps` instead.');\n }\n }\n}\n/**\n * Given a fragment, validate that it can only be provided with fragment props\n * @param {ReactElement} fragment\n */\n\n\nfunction validateFragmentProps(fragment) {\n {\n var keys = Object.keys(fragment.props);\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i];\n\n if (key !== 'children' && key !== 'key') {\n setCurrentlyValidatingElement$1(fragment);\n\n error('Invalid prop `%s` supplied to `React.Fragment`. ' + 'React.Fragment can only have `key` and `children` props.', key);\n\n setCurrentlyValidatingElement$1(null);\n break;\n }\n }\n\n if (fragment.ref !== null) {\n setCurrentlyValidatingElement$1(fragment);\n\n error('Invalid attribute `ref` supplied to `React.Fragment`.');\n\n setCurrentlyValidatingElement$1(null);\n }\n }\n}\n\nvar didWarnAboutKeySpread = {};\nfunction jsxWithValidation(type, props, key, isStaticChildren, source, self) {\n {\n var validType = isValidElementType(type); // We warn in this case but don't throw. We expect the element creation to\n // succeed and there will likely be errors in render.\n\n if (!validType) {\n var info = '';\n\n if (type === undefined || typeof type === 'object' && type !== null && Object.keys(type).length === 0) {\n info += ' You likely forgot to export your component from the file ' + \"it's defined in, or you might have mixed up default and named imports.\";\n }\n\n var sourceInfo = getSourceInfoErrorAddendum(source);\n\n if (sourceInfo) {\n info += sourceInfo;\n } else {\n info += getDeclarationErrorAddendum();\n }\n\n var typeString;\n\n if (type === null) {\n typeString = 'null';\n } else if (isArray(type)) {\n typeString = 'array';\n } else if (type !== undefined && type.$$typeof === REACT_ELEMENT_TYPE) {\n typeString = \"<\" + (getComponentNameFromType(type.type) || 'Unknown') + \" />\";\n info = ' Did you accidentally export a JSX literal instead of a component?';\n } else {\n typeString = typeof type;\n }\n\n error('React.jsx: type is invalid -- expected a string (for ' + 'built-in components) or a class/function (for composite ' + 'components) but got: %s.%s', typeString, info);\n }\n\n var element = jsxDEV(type, props, key, source, self); // The result can be nullish if a mock or a custom function is used.\n // TODO: Drop this when these are no longer allowed as the type argument.\n\n if (element == null) {\n return element;\n } // Skip key warning if the type isn't valid since our key validation logic\n // doesn't expect a non-string/function type and can throw confusing errors.\n // We don't want exception behavior to differ between dev and prod.\n // (Rendering will throw with a helpful message and as soon as the type is\n // fixed, the key warnings will appear.)\n\n\n if (validType) {\n var children = props.children;\n\n if (children !== undefined) {\n if (isStaticChildren) {\n if (isArray(children)) {\n for (var i = 0; i < children.length; i++) {\n validateChildKeys(children[i], type);\n }\n\n if (Object.freeze) {\n Object.freeze(children);\n }\n } else {\n error('React.jsx: Static children should always be an array. ' + 'You are likely explicitly calling React.jsxs or React.jsxDEV. ' + 'Use the Babel transform instead.');\n }\n } else {\n validateChildKeys(children, type);\n }\n }\n }\n\n {\n if (hasOwnProperty.call(props, 'key')) {\n var componentName = getComponentNameFromType(type);\n var keys = Object.keys(props).filter(function (k) {\n return k !== 'key';\n });\n var beforeExample = keys.length > 0 ? '{key: someKey, ' + keys.join(': ..., ') + ': ...}' : '{key: someKey}';\n\n if (!didWarnAboutKeySpread[componentName + beforeExample]) {\n var afterExample = keys.length > 0 ? '{' + keys.join(': ..., ') + ': ...}' : '{}';\n\n error('A props object containing a \"key\" prop is being spread into JSX:\\n' + ' let props = %s;\\n' + ' <%s {...props} />\\n' + 'React keys must be passed directly to JSX without using spread:\\n' + ' let props = %s;\\n' + ' <%s key={someKey} {...props} />', beforeExample, componentName, afterExample, componentName);\n\n didWarnAboutKeySpread[componentName + beforeExample] = true;\n }\n }\n }\n\n if (type === REACT_FRAGMENT_TYPE) {\n validateFragmentProps(element);\n } else {\n validatePropTypes(element);\n }\n\n return element;\n }\n} // These two functions exist to still get child warnings in dev\n// even with the prod transform. This means that jsxDEV is purely\n// opt-in behavior for better messages but that we won't stop\n// giving you warnings if you use production apis.\n\nfunction jsxWithValidationStatic(type, props, key) {\n {\n return jsxWithValidation(type, props, key, true);\n }\n}\nfunction jsxWithValidationDynamic(type, props, key) {\n {\n return jsxWithValidation(type, props, key, false);\n }\n}\n\nvar jsx = jsxWithValidationDynamic ; // we may want to special case jsxs internally to take advantage of static children.\n// for now we can ship identical prod functions\n\nvar jsxs = jsxWithValidationStatic ;\n\nexports.Fragment = REACT_FRAGMENT_TYPE;\nexports.jsx = jsx;\nexports.jsxs = jsxs;\n })();\n}\n","'use strict';\n\nif (process.env.NODE_ENV === 'production') {\n module.exports = require('./cjs/react-jsx-runtime.production.min.js');\n} else {\n module.exports = require('./cjs/react-jsx-runtime.development.js');\n}\n","import { useState, useEffect, useCallback } from 'react'\nimport type { GlitchComponentProps, OnboardingScreen } from './types'\nimport styles from './styles.module.css'\n\nexport function OnboardingComponent({\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const [currentScreen, setCurrentScreen] = useState('disorientation')\n const [sphereGlitching, setSphereGlitching] = useState(false)\n const [signatureAnimating, setSignatureAnimating] = useState(false)\n const [hasAgreed, setHasAgreed] = useState(false)\n\n // Apply theme as CSS variables\n const themeStyle = theme ? {\n '--gc-primary': theme.primary,\n '--gc-accent': theme.accent,\n '--gc-bg': theme.bg,\n '--gc-bgSecondary': theme.bgSecondary,\n '--gc-text': theme.text,\n '--gc-textMuted': theme.textMuted,\n '--gc-border': theme.border,\n } as React.CSSProperties : {}\n\n // Progress tracking\n useEffect(() => {\n const progressMap: Record = {\n disorientation: 25,\n migration: 50,\n agreement: 75,\n navigation: 100\n }\n onProgress?.(progressMap[currentScreen])\n }, [currentScreen, onProgress])\n\n // Sphere glitch effect on Screen 1\n useEffect(() => {\n if (currentScreen !== 'disorientation') return\n\n const triggerGlitch = () => {\n setSphereGlitching(true)\n setTimeout(() => setSphereGlitching(false), 150)\n }\n\n // First glitch after 4 seconds\n const initialTimeout = setTimeout(triggerGlitch, 4000)\n\n // Random glitches every 3-6 seconds\n const interval = setInterval(() => {\n const delay = Math.random() * 3000 + 3000\n setTimeout(triggerGlitch, delay)\n }, 6000)\n\n return () => {\n clearTimeout(initialTimeout)\n clearInterval(interval)\n }\n }, [currentScreen])\n\n const handleSign = useCallback(() => {\n setSignatureAnimating(true)\n setTimeout(() => {\n setHasAgreed(true)\n setTimeout(() => {\n setCurrentScreen('navigation')\n }, 1000)\n }, 800)\n }, [])\n\n const handleComplete = useCallback((choice: 'lesson' | 'character') => {\n onComplete({\n success: true,\n data: {\n choice,\n agreedToTerms: true\n },\n rewards: {\n achievements: ['onboarding_complete'],\n unlocks: choice === 'lesson' ? ['tech_tree'] : ['character_builder']\n }\n })\n }, [onComplete])\n\n // Screen 1: The Disorientation\n const renderDisorientation = () => (\n
\n
\n\n
\n

\n You are standing on a smooth sphere. It looks continuous. It feels continuous.\n

\n\n
\n
\n {Array.from({ length: 36 }).map((_, i) => (\n
0.5 ? 0.8 : 0\n }} />\n ))}\n
\n
\n\n

\n But what if it isn't?\n

\n\n

\n Most people assume the universe is continuous.
\n We're not most people.\n

\n\n setCurrentScreen('migration')}\n >\n Enter the Glitch\n \n
\n
\n )\n\n // Screen 2: Migration Description\n const renderMigration = () => (\n
\n
\n\n
\n

\n A migration project for physics. That might fail. Or not.\n

\n\n
    \n
  • This is not a fringe physics forum.
    • \n
  • This is not an online RPG.
    • \n
  • This is not a lecture series in philosophy, physics and computer science.
    • \n
\n\n

\n It's all of those things.\n

\n\n
\n
RULE 1
\n
\n Nothing is obvious. Show it.
\n Predictions matter more than opinions.\n
\n
\n\n setCurrentScreen('agreement')}\n >\n Continue →\n \n
\n
\n )\n\n // Screen 3: Agreement\n const renderAgreement = () => (\n
\n
\n\n
\n

\n Make your mark and sign here\n

\n\n
\n \"I agree to test ideas against reality\"\n
\n\n
\n
\n \n ✕\n \n
\n \n ✏️\n \n
\n\n {!hasAgreed && (\n \n Sign\n \n )}\n
\n
\n )\n\n // Screen 4: Navigation\n const renderNavigation = () => (\n
\n
\n\n
\n

\n Welcome to the Glitch. What would you like to do?\n

\n\n
\n handleComplete('lesson')}\n >\n
\n Take me to the first lesson →\n
\n
\n Opens the tech tree and begins your journey\n
\n \n\n handleComplete('character')}\n >\n
\n Build my character first →\n
\n
\n Customize your presence in the Glitch\n
\n \n
\n
\n
\n )\n\n // Render current screen\n const screenRenderers: Record JSX.Element> = {\n disorientation: renderDisorientation,\n migration: renderMigration,\n agreement: renderAgreement,\n navigation: renderNavigation\n }\n\n return (\n
\n {screenRenderers[currentScreen]()}\n
\n )\n}\n","import { OnboardingComponent } from './OnboardingComponent'\nimport type { GlitchComponentProps, GlitchComponentResult } from './types'\n\nexport { OnboardingComponent }\nexport type { GlitchComponentProps, GlitchComponentResult }\n\nexport const metadata = {\n name: 'onboarding',\n version: '1.0.0',\n displayName: 'Glitch University Onboarding',\n description: 'Multi-screen onboarding experience introducing users to the Glitch universe',\n author: 'Glitch.university',\n paramSchema: {},\n tags: ['onboarding', 'intro', 'welcome']\n}\n\nexport default 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This is not for everyone." + }, + { + title: "How This Works", + lines: [ + "Watch a short module", + "Pass the glitch gate", + "Unlock the next tech", + "That's it. 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"Restart" : "Next" + } + ) + ] }) + ] }) + ] + } + ) }); +} +const se = { + name: "onboarding2", + displayName: "Facility Slideshow", + version: "1.0.0", + paramSchema: {}, + defaultParams: {} +}; +export { + ae as default, + se as metadata +}; +//# sourceMappingURL=onboarding2.js.map diff --git a/dist/glitch/glitch_onboarding2/onboarding2.js.map b/dist/glitch/glitch_onboarding2/onboarding2.js.map new file mode 100644 index 0000000..e9f29bc --- /dev/null +++ b/dist/glitch/glitch_onboarding2/onboarding2.js.map @@ -0,0 +1 @@ +{"version":3,"file":"onboarding2.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useEffect, useMemo, useRef, useState } from 'react'\nimport type { CSSProperties, TouchEvent } from 'react'\nimport type { GlitchComponentProps, SlideData } from './types'\nimport styles from './styles.module.css'\n\nconst SWIPE_THRESHOLD = 40\n\nconst SLIDES: SlideData[] = [\n {\n title: 'The Premise',\n lines: [\n 'This facility tests foundational assumptions.',\n '',\n 'Not interpretations.',\n 'Assumptions.'\n ]\n },\n {\n title: 'The method',\n lines: [\n 'This is math and philosophy.',\n 'Make assumption.',\n \"Pretend it's true.\",\n 'Where does that lead?'\n ]\n },\n {\n title: 'The law',\n lines: [\n 'We make predictions.',\n 'If they fail, the idea fails.'\n ]\n },\n {\n title: 'The way',\n lines: ['You will:'],\n bullets: [\n 'Pass challenges',\n 'Collect paradoxes',\n 'Examine anomalies',\n 'Learn to think sharply'\n ]\n },\n {\n title: 'Warning',\n lines: ['You may feel:'],\n bullets: [\n 'This is not a game!',\n 'Temporary confusion',\n 'The urge to defend existing physics!'\n ],\n bulletStyle: 'warning',\n after: 'Good. This is not for everyone.'\n },\n {\n title: 'How This Works',\n lines: [\n 'Watch a short module',\n 'Pass the glitch gate',\n 'Unlock the next tech',\n \"That's it. 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j(d) { + const r = [], n = d, f = 2 / n; + for (let u = 0; u < n; u++) + for (let m = 0; m < n; m++) + for (let o = 0; o < n; o++) { + const g = -1 + f * (u + 0.5), i = -1 + f * (m + 0.5), x = -1 + f * (o + 0.5), p = Math.sqrt(g * g + i * i + x * x), $ = f * 1.2; + p <= 1 && p > 1 - $ && r.push(g, i, x); + } + return { positions: r, count: r.length / 3 }; +} +function Te({ resolution: d, isInfinity: r }) { + const s = F(null), n = q(() => new te.Object3D(), []), { positions: f, count: u, cubeSize: m } = q(() => { + const i = Math.min(d, y), x = j(i), p = 2 / i * 0.85; + return { + positions: x.positions, + count: x.count, + cubeSize: p + }; + }, [d]); + z(() => { + if (!(!s.current || u === 0)) { + for (let i = 0; i < u; i++) + n.position.set( + f[i * 3], + f[i * 3 + 1], + f[i * 3 + 2] + ), n.scale.setScalar(m), n.updateMatrix(), s.current.setMatrixAt(i, n.matrix); + s.current.instanceMatrix.needsUpdate = !0, s.current.count = u; + } + }, [f, u, m, n]), Q((i) => { + s.current && 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"#ef4444" : "#818cf8"; + return /* @__PURE__ */ a("instancedMesh", { ref: s, args: [void 0, void 0, 1e4], frustumCulled: !1, children: [ + /* @__PURE__ */ e("boxGeometry", { args: [1, 1, 1] }), + /* @__PURE__ */ e( + "meshStandardMaterial", + { + color: o, + emissive: o, + emissiveIntensity: 0.05, + roughness: 0.4, + metalness: 0.3 + } + ) + ] }); +} +function k({ resolution: d, isInfinity: r }) { + return /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("ambientLight", { intensity: 0.3 }), + /* @__PURE__ */ e("directionalLight", { position: [5, 8, 5], intensity: 1.2, castShadow: !0 }), + /* @__PURE__ */ e("directionalLight", { position: [-3, -2, -4], intensity: 0.4, color: "#22d3ee" }), + /* @__PURE__ */ e("pointLight", { position: [0, 5, 0], intensity: 0.5 }), + /* @__PURE__ */ e(Te, { resolution: d, isInfinity: r }), + /* @__PURE__ */ e( + W, + { + enableZoom: !0, + enablePan: !1, + autoRotate: !1, + minDistance: 2, + maxDistance: 6 + } + ) + ] }); +} +function De() { + const d = F(null); + return Q((r) => { + d.current && (d.current.rotation.y = r.clock.elapsedTime * 0.3); + }), /* @__PURE__ */ a("mesh", { ref: d, children: [ + /* @__PURE__ */ e("sphereGeometry", { args: [1, 128, 128] }), + /* @__PURE__ */ e( + "meshStandardMaterial", + { + color: "#22d3ee", + emissive: "#22d3ee", + emissiveIntensity: 0.08, + roughness: 0.15, + metalness: 0.9, + envMapIntensity: 1 + } + ) + ] }); +} +function Ee() { + return /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("ambientLight", { intensity: 0.3 }), + /* @__PURE__ */ e("directionalLight", { position: [5, 8, 5], intensity: 1.5 }), + /* @__PURE__ */ e("directionalLight", { position: [-4, -2, -3], intensity: 0.5, color: "#6366f1" }), + /* @__PURE__ */ e("pointLight", { position: [0, 3, 3], intensity: 0.8, color: "#ffffff" }), + /* @__PURE__ */ e(De, {}), + /* @__PURE__ */ e( + W, + { + enableZoom: !1, + enablePan: !1, + autoRotate: !0, + autoRotateSpeed: 1.5 + } + ) + ] }); +} +function Pe({ + config: d, + onComplete: r, + onProgress: s, + theme: n, + className: f +}) { + const [u, m] = N("exploring"), [o, g] = N(A), [i, x] = N(null), [p, $] = N(!1), H = F(null), [v, K] = N({ + stacked: !1, + panelSize: 320, + gap: 16, + padding: 16 + }), M = o >= y, O = q(() => j(Math.min(o, y)).count, [o]); + z(() => { + const c = H.current; + if (!c || typeof ResizeObserver > "u") + return; + const l = () => { + const { width: h, height: S } = c.getBoundingClientRect(); + if (!h || !S) + return; + const C = S > h, E = Math.min(h, S), w = Math.round(Math.max(12, Math.min(28, E * 0.04))), B = Math.round(Math.max(12, Math.min(22, E * 0.03))), X = C ? h - w * 2 : (h - w * 2 - B) / 2, ee = C ? (S - w * 2 - B) / 2 : S - w * 2; + K({ + stacked: C, + panelSize: Math.max(0, Math.floor(Math.min(X, ee))), + gap: B, + padding: w + }); + }; + l(); + const b = new ResizeObserver(l); + return b.observe(c), () => b.disconnect(); + }, []); + const P = { + "--gc-primary": (n == null ? void 0 : n.primary) || "#6366f1", + "--gc-accent": (n == null ? void 0 : n.accent) || "#22d3ee", + "--gc-bg": (n == null ? void 0 : n.bg) || "#0a0a0f", + "--gc-bg-secondary": (n == null ? void 0 : n.bgSecondary) || "#12121a", + "--gc-text": (n == null ? void 0 : n.text) || "#e8e8ec", + "--gc-text-muted": (n == null ? void 0 : n.textMuted) || "#9999a8", + "--gc-border": (n == null ? void 0 : n.border) || "#2a2a3a", + "--panel-gap": `${v.gap}px`, + "--frame-pad": `${v.padding}px` + }, T = { + width: `${v.panelSize}px`, + height: `${v.panelSize}px` + }; + z(() => { + s == null || s(10); + }, [s]); + const G = V((c) => { + const l = Oe(parseInt(c.target.value, 10)); + g(l); + const b = 10 + l / y * 40; + s == null || s(Math.min(b, 50)), l >= y && !p && (m("warning"), $(!0), s == null || s(70)); + }, [p, s, y]), D = V((c) => { + x(c), m("result"), s == null || s(100); + }, [s]), Z = V(() => { + r({ + success: !0, + score: 100, + data: { + choice: i, + finalResolution: o, + exploredInfinity: p, + completedAt: (/* @__PURE__ */ new Date()).toISOString() + } + }); + }, [i, o, p, r]), U = (c) => c >= y ? "∞" : c.toString(), Y = (c, l) => l ? "∞" : c.toLocaleString(), J = (c, l) => { + if (l) + return "∞"; + const h = c * 80; + return h < 1024 ? `${h} B` : h < 1024 * 1024 ? `${(h / 1024).toFixed(1)} KB` : `${(h / (1024 * 1024)).toFixed(2)} MB`; + }, R = (c, l) => /* @__PURE__ */ a("div", { className: `${t.squarePanel} ${t.viewportPanel}`, style: T, children: [ + c, + /* @__PURE__ */ a("div", { className: t.statsOverlay, children: [ + /* @__PURE__ */ a("div", { className: t.stat, children: [ + /* @__PURE__ */ e("span", { className: t.statLabel, children: "Blocks" }), + /* @__PURE__ */ e("span", { className: `${t.statValue} ${l ? t.statInfinity : ""}`, children: Y(O, l) }) + ] }), + /* @__PURE__ */ a("div", { className: t.stat, children: [ + /* @__PURE__ */ e("span", { className: t.statLabel, children: "Memory" }), + /* @__PURE__ */ e("span", { className: `${t.statValue} ${l ? t.statInfinity : ""}`, children: J(O, l) }) + ] }) + ] }) + ] }), L = (c) => /* @__PURE__ */ e("div", { className: `${t.squarePanel} ${t.contentPanel}`, style: T, children: /* @__PURE__ */ e("div", { className: t.panelBody, children: c }) }); + return /* @__PURE__ */ e("div", { className: `${t.container} ${f || ""}`, style: P, children: /* @__PURE__ */ e("div", { ref: H, className: t.frame, children: /* @__PURE__ */ a( + "div", + { + className: t.squareLayout, + style: { flexDirection: v.stacked ? "column" : "row" }, + children: [ + u === "exploring" && /* @__PURE__ */ a(_, { children: [ + R( + /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: M }) }), + M + ), + L( + /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: "Resolution" }), + /* @__PURE__ */ e("p", { className: `${t.copy} ${t.muted}`, children: "Every step adds more cubes to the shell. Keep sliding until the approximation breaks open." }), + /* @__PURE__ */ a("div", { className: t.sliderSection, children: [ + /* @__PURE__ */ a("div", { className: t.sliderHeader, children: [ + /* @__PURE__ */ e("span", { className: t.sliderLabel, children: "Current Level" }), + /* @__PURE__ */ e("span", { className: `${t.sliderValue} ${M ? t.valueInfinity : ""}`, children: U(o) }) + ] }), + /* @__PURE__ */ e( + "input", + { + type: "range", + min: A, + max: y, + step: "2", + value: o, + onChange: G, + className: `${t.slider} ${M ? t.sliderInfinity : ""}` + } + ), + /* @__PURE__ */ e("div", { className: t.sliderHint, children: "Drag right to approach a perfectly smooth sphere." }) + ] }) + ] }) + ) + ] }), + u === "warning" && /* @__PURE__ */ a(_, { children: [ + R( + /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: !0 }) }), + !0 + ), + L( + /* @__PURE__ */ a("div", { className: t.warning, children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: "Limit Reached" }), + /* @__PURE__ */ e("p", { className: t.warningText, children: "At infinite resolution, the sphere needs infinitely many blocks." }), + /* @__PURE__ */ e("p", { className: t.warningText, children: "Infinitely many blocks means infinite information and unbounded memory." }), + /* @__PURE__ */ e("p", { className: t.warningQuestion, children: "Do you want the perfect sphere anyway?" }), + /* @__PURE__ */ a("div", { className: t.warningChoices, children: [ + /* @__PURE__ */ e( + "button", + { + className: `${t.choiceButton} ${t.choiceInfinity}`, + onClick: () => D("infinity"), + children: "Embrace Infinity" + } + ), + /* @__PURE__ */ e( + "button", + { + className: `${t.choiceButton} ${t.choiceFinite}`, + onClick: () => D("finite"), + children: "Keep It Finite" + } + ) + ] }) + ] }) + ) + ] }), + u === "result" && /* @__PURE__ */ a(_, { children: [ + R( + i === "infinity" ? /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3], fov: 50 }, children: /* @__PURE__ */ e(Ee, {}) }) : /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: !1 }) }), + i === "infinity" + ), + L( + /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: i === "finite" ? "Finite Wins" : "Infinity Chosen" }), + /* @__PURE__ */ a("div", { className: t.resultStats, children: [ + /* @__PURE__ */ a("div", { className: t.resultRow, children: [ + /* @__PURE__ */ e("span", { children: "Memory Required" }), + /* @__PURE__ */ e("span", { className: i === "finite" ? t.resultSuccess : t.resultAccent, children: i === "finite" ? "Finite" : "∞" }) + ] }), + /* @__PURE__ */ a("div", { className: t.resultRow, children: [ + /* @__PURE__ */ e("span", { children: "Simulation Possible" }), + /* @__PURE__ */ e("span", { className: i === "finite" ? t.resultSuccess : t.resultAccent, children: i === "finite" ? "Yes" : "Only in theory" }) + ] }) + ] }), + /* @__PURE__ */ e("p", { className: t.resultMessage, children: i === "finite" ? /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("strong", { children: "Discreteness can be enough." }), + " A finite model never becomes perfect, but it can get close enough to feel continuous." + ] }) : /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("strong", { children: "Perfect smoothness costs infinity." }), + " A mathematically exact sphere cannot be simulated without infinite information." + ] }) }), + /* @__PURE__ */ e("button", { className: t.completeButton, onClick: Z, children: "Complete Challenge" }) + ] }) + ) + ] }) + ] + } + ) }) }); +} +const Ge = { + name: "sphere-paradox", + displayName: "Create a Perfect Sphere", + version: "1.0.0", + paramSchema: {}, + defaultParams: {} +}; +export { + Pe as default, + Ge as metadata +}; +//# sourceMappingURL=sphere-paradox.js.map diff --git a/dist/glitch/glitch_sphere_paradox/sphere-paradox.js.map b/dist/glitch/glitch_sphere_paradox/sphere-paradox.js.map new file mode 100644 index 0000000..159cadb --- /dev/null +++ b/dist/glitch/glitch_sphere_paradox/sphere-paradox.js.map @@ -0,0 +1 @@ +{"version":3,"file":"sphere-paradox.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import {\n useCallback,\n useMemo,\n useState,\n useRef,\n useEffect,\n type CSSProperties,\n type ChangeEvent,\n type ReactNode\n} from 'react';\nimport { Canvas, useFrame } from '@react-three/fiber';\nimport { OrbitControls } from '@react-three/drei';\nimport * as THREE from 'three';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\ninterface VoxelSphereProps {\n resolution: number;\n isInfinity: boolean;\n}\n\nconst minResolution = 5;\nconst maxResolution = 41;\n\nfunction normalizeOddResolution(value: number): number {\n const clamped = Math.min(Math.max(value, minResolution), maxResolution);\n return clamped % 2 === 0 ? clamped + 1 : clamped;\n}\n\n// Generate voxel positions for a solid sphere (filled, not just shell)\nfunction generateVoxelSphere(resolution: number): { positions: number[], count: number } {\n const positions: number[] = [];\n const radius = 1.0;\n\n // Number of voxels along each axis\n const gridSize = resolution;\n const voxelSize = 2 / gridSize;\n\n for (let ix = 0; ix < gridSize; ix++) {\n for (let iy = 0; iy < gridSize; iy++) {\n for (let iz = 0; iz < gridSize; iz++) {\n // Center of this voxel\n const x = -1 + voxelSize * (ix + 0.5);\n const y = -1 + voxelSize * (iy + 0.5);\n const z = -1 + voxelSize * (iz + 0.5);\n\n const dist = Math.sqrt(x * x + y * y + z * z);\n\n // Include voxels on the surface (shell)\n // Shell thickness scales with voxel size\n const shellThickness = voxelSize * 1.2;\n if (dist <= radius && dist > radius - shellThickness) {\n positions.push(x, y, z);\n }\n }\n }\n }\n\n return { positions, count: positions.length / 3 };\n}\n\nfunction VoxelSphere({ resolution, isInfinity }: VoxelSphereProps) {\n const meshRef = useRef(null);\n const dummy = useMemo(() => new THREE.Object3D(), []);\n\n // Generate voxel data\n const { positions, count, cubeSize } = useMemo(() => {\n const effectiveRes = Math.min(resolution, maxResolution);\n const data = generateVoxelSphere(effectiveRes);\n const size = (2 / effectiveRes) * 0.85; // Slightly smaller to show gaps\n return {\n positions: data.positions,\n count: data.count,\n cubeSize: size\n };\n }, [resolution]);\n\n // Update instance matrices when positions change\n useEffect(() => {\n if (!meshRef.current || count === 0) return;\n\n for (let i = 0; i < count; i++) {\n dummy.position.set(\n positions[i * 3],\n positions[i * 3 + 1],\n positions[i * 3 + 2]\n );\n dummy.scale.setScalar(cubeSize);\n dummy.updateMatrix();\n meshRef.current.setMatrixAt(i, dummy.matrix);\n }\n meshRef.current.instanceMatrix.needsUpdate = true;\n meshRef.current.count = count;\n }, [positions, count, cubeSize, dummy]);\n\n // Rotate the sphere\n useFrame((state) => {\n if (meshRef.current) {\n meshRef.current.rotation.y = state.clock.elapsedTime * 0.2;\n }\n });\n\n const color = isInfinity ? '#ef4444' : '#818cf8';\n\n // Use a large initial count to avoid recreating the mesh\n const maxInstances = 10000;\n\n return (\n \n \n \n \n );\n}\n\nfunction Scene({ resolution, isInfinity }: VoxelSphereProps) {\n return (\n <>\n \n \n \n \n \n \n \n );\n}\n\n// Smooth parametric sphere for the \"infinity\" result\nfunction SmoothSphere() {\n const meshRef = useRef(null);\n\n useFrame((state) => {\n if (meshRef.current) {\n meshRef.current.rotation.y = state.clock.elapsedTime * 0.3;\n }\n });\n\n return (\n \n \n \n \n );\n}\n\nfunction SmoothSphereScene() {\n return (\n <>\n \n \n \n \n \n \n \n );\n}\n\ntype Phase = 'exploring' | 'warning' | 'result';\ntype Choice = 'infinity' | 'finite' | null;\n\ninterface LayoutState {\n stacked: boolean;\n panelSize: number;\n gap: number;\n padding: number;\n}\n\nexport default function SphereParadox({\n config: _config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n void _config;\n const [phase, setPhase] = useState('exploring');\n const [resolution, setResolution] = useState(minResolution);\n const [choice, setChoice] = useState(null);\n const [hasSeenWarning, setHasSeenWarning] = useState(false);\n const frameRef = useRef(null);\n const [layout, setLayout] = useState({\n stacked: false,\n panelSize: 320,\n gap: 16,\n padding: 16\n });\n const isAtInfinity = resolution >= maxResolution;\n\n // Calculate actual voxel count\n const voxelCount = useMemo(() => {\n const data = generateVoxelSphere(Math.min(resolution, maxResolution));\n return data.count;\n }, [resolution]);\n\n useEffect(() => {\n const frame = frameRef.current;\n if (!frame || typeof ResizeObserver === 'undefined') return;\n\n const measure = () => {\n const { width, height } = frame.getBoundingClientRect();\n if (!width || !height) return;\n\n const stacked = height > width;\n const minEdge = Math.min(width, height);\n const padding = Math.round(Math.max(12, Math.min(28, minEdge * 0.04)));\n const gap = Math.round(Math.max(12, Math.min(22, minEdge * 0.03)));\n const maxSquareWidth = stacked\n ? width - padding * 2\n : (width - padding * 2 - gap) / 2;\n const maxSquareHeight = stacked\n ? (height - padding * 2 - gap) / 2\n : height - padding * 2;\n\n setLayout({\n stacked,\n panelSize: Math.max(0, Math.floor(Math.min(maxSquareWidth, maxSquareHeight))),\n gap,\n padding\n });\n };\n\n measure();\n\n const observer = new ResizeObserver(measure);\n observer.observe(frame);\n\n return () => observer.disconnect();\n }, []);\n\n const cssVars = {\n '--gc-primary': theme?.primary || '#6366f1',\n '--gc-accent': theme?.accent || '#22d3ee',\n '--gc-bg': theme?.bg || '#0a0a0f',\n '--gc-bg-secondary': theme?.bgSecondary || '#12121a',\n '--gc-text': theme?.text || '#e8e8ec',\n '--gc-text-muted': theme?.textMuted || '#9999a8',\n '--gc-border': theme?.border || '#2a2a3a',\n '--panel-gap': `${layout.gap}px`,\n '--frame-pad': `${layout.padding}px`\n } as CSSProperties;\n\n const squareStyle = {\n width: `${layout.panelSize}px`,\n height: `${layout.panelSize}px`\n } as CSSProperties;\n\n useEffect(() => {\n onProgress?.(10);\n }, [onProgress]);\n\n const handleSliderChange = useCallback((e: ChangeEvent) => {\n const val = normalizeOddResolution(parseInt(e.target.value, 10));\n setResolution(val);\n\n const progress = 10 + (val / maxResolution) * 40;\n onProgress?.(Math.min(progress, 50));\n\n if (val >= maxResolution && !hasSeenWarning) {\n setPhase('warning');\n setHasSeenWarning(true);\n onProgress?.(70);\n }\n }, [hasSeenWarning, onProgress, maxResolution]);\n\n const handleChoice = useCallback((selectedChoice: 'infinity' | 'finite') => {\n setChoice(selectedChoice);\n setPhase('result');\n onProgress?.(100);\n }, [onProgress]);\n\n const handleComplete = useCallback(() => {\n // Both choices succeed - this is an educational step, not a gate\n onComplete({\n success: true,\n score: 100,\n data: {\n choice,\n finalResolution: resolution,\n exploredInfinity: hasSeenWarning,\n completedAt: new Date().toISOString()\n }\n });\n }, [choice, resolution, hasSeenWarning, onComplete]);\n\n const formatResolution = (res: number) => {\n if (res >= maxResolution) return '∞';\n return res.toString();\n };\n\n const formatVoxelCount = (count: number, isInf: boolean) => {\n if (isInf) return '∞';\n return count.toLocaleString();\n };\n\n const formatMemory = (count: number, isInf: boolean) => {\n if (isInf) return '∞';\n const bytesPerVoxel = 80;\n const bytes = count * bytesPerVoxel;\n if (bytes < 1024) return `${bytes} B`;\n if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;\n return `${(bytes / (1024 * 1024)).toFixed(2)} MB`;\n };\n\n const renderViewportPanel = (scene: ReactNode, isInf: boolean) => (\n
\n {scene}\n
\n
\n Blocks\n \n {formatVoxelCount(voxelCount, isInf)}\n \n
\n
\n Memory\n \n {formatMemory(voxelCount, isInf)}\n \n
\n
\n
\n );\n\n const renderContentPanel = (content: ReactNode) => (\n
\n
{content}
\n
\n );\n\n return (\n
\n
\n \n {phase === 'exploring' && (\n <>\n {renderViewportPanel(\n \n \n ,\n isAtInfinity\n )}\n {renderContentPanel(\n <>\n
Resolution
\n

\n Every step adds more cubes to the shell. Keep sliding until the approximation breaks open.\n

\n\n
\n
\n Current Level\n \n {formatResolution(resolution)}\n \n
\n \n
\n Drag right to approach a perfectly smooth sphere.\n
\n
\n \n )}\n \n )}\n\n {phase === 'warning' && (\n <>\n {renderViewportPanel(\n \n \n ,\n true\n )}\n {renderContentPanel(\n
\n
Limit Reached
\n

\n At infinite resolution, the sphere needs infinitely many blocks.\n

\n

\n Infinitely many blocks means infinite information and unbounded memory.\n

\n

\n Do you want the perfect sphere anyway?\n

\n
\n handleChoice('infinity')}\n >\n Embrace Infinity\n \n handleChoice('finite')}\n >\n Keep It Finite\n \n
\n
\n )}\n \n )}\n\n {phase === 'result' && (\n <>\n {renderViewportPanel(\n choice === 'infinity' ? (\n \n \n \n ) : (\n \n \n \n ),\n choice === 'infinity'\n )}\n {renderContentPanel(\n <>\n
\n {choice === 'finite' ? 'Finite Wins' : 'Infinity Chosen'}\n
\n
\n
\n Memory Required\n \n {choice === 'finite' ? 'Finite' : '∞'}\n \n
\n
\n Simulation Possible\n \n {choice === 'finite' ? 'Yes' : 'Only in theory'}\n \n
\n
\n\n

\n {choice === 'finite' ? (\n <>\n Discreteness can be enough. A finite model never becomes perfect, but it can get close enough to feel continuous.\n \n ) : (\n <>\n Perfect smoothness costs infinity. A mathematically exact sphere cannot be simulated without infinite information.\n \n )}\n

\n\n \n \n )}\n \n )}\n
\n
\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'sphere-paradox',\n displayName: 'Create a Perfect Sphere',\n version: '1.0.0',\n paramSchema: {},\n defaultParams: {}\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult\n} from 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\ No newline at end of file diff --git a/dist/glitch/glitch_voxel_universe/glitch.manifest.json b/dist/glitch/glitch_voxel_universe/glitch.manifest.json new file mode 100644 index 0000000..978bde3 --- /dev/null +++ b/dist/glitch/glitch_voxel_universe/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "voxel-universe", + "displayName": "Voxel Universe", + "version": "1.0.0", + "folderName": "glitch_voxel_universe", + "packageName": "@glitch-components/voxel-universe", + "entry": "dist/voxel_universe.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "voxel", + "geometry" + ] +} diff --git a/dist/glitch/glitch_voxel_universe/host.js b/dist/glitch/glitch_voxel_universe/host.js new file mode 100644 index 0000000..434595e --- /dev/null +++ b/dist/glitch/glitch_voxel_universe/host.js @@ -0,0 +1,29 @@ +import React from "react"; +import { createRoot } from "react-dom/client"; +import VoxelUniverse, { metadata } from "./voxel_universe.js"; + +const rootElement = document.getElementById("root"); + +if (rootElement) { + createRoot(rootElement).render( + React.createElement(VoxelUniverse, { + config: { + id: "voxel-universe-hosted", + name: metadata?.name ?? "voxel_universe", + version: metadata?.version ?? "1.0.0", + params: metadata?.defaultParams ?? {} + }, + theme: { + primary: "#45c4b0", + accent: "#ff7a59", + bg: "#0d1117", + bgSecondary: "#182237", + text: "#f1f4ef", + textMuted: "#b6c0d4", + border: "#34516f" + }, + onProgress: () => {}, + onComplete: () => {} + }) + ); +} diff --git a/dist/glitch/glitch_voxel_universe/index.html b/dist/glitch/glitch_voxel_universe/index.html new file mode 100644 index 0000000..0db95d2 --- /dev/null +++ b/dist/glitch/glitch_voxel_universe/index.html @@ -0,0 +1,34 @@ + + + + + + Voxel Universe + + + + +
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+import { jsx as pn, jsxs as yi } from "react/jsx-runtime"; +import { useState as Ms, useRef as dr, useEffect as ai, useMemo as fr } from "react"; +/** + * @license + * Copyright 2010-2023 Three.js Authors + * SPDX-License-Identifier: MIT + */ +const ss = "160", Ln = { ROTATE: 0, DOLLY: 1, PAN: 2 }, Pn = { ROTATE: 0, PAN: 1, DOLLY_PAN: 2, DOLLY_ROTATE: 3 }, Yo = 0, Ss = 1, jo = 2, so = 1, ao = 2, jt = 3, un = 0, Mt = 1, Kt = 2, on = 0, $n = 1, Es = 2, ys = 3, Ts = 4, Ko = 5, Mn = 100, Zo = 101, $o = 102, bs = 103, As = 104, Jo = 200, Qo = 201, el = 202, tl = 203, Kr = 204, Zr = 205, nl = 206, il = 207, rl = 208, sl = 209, al = 210, ol = 211, ll = 212, cl = 213, ul = 214, hl = 0, dl = 1, fl = 2, $i = 3, pl = 4, ml = 5, _l = 6, gl = 7, oo = 0, vl = 1, xl = 2, ln = 0, Ml = 1, Sl = 2, El = 3, yl = 4, Tl = 5, bl = 6, lo = 300, Qn = 301, ei = 302, $r = 303, Jr = 304, rr = 306, Qr = 1e3, Nt = 1001, es = 1002, gt = 1003, ws = 1004, pr = 1005, Rt = 1006, Al = 1007, _i = 1008, cn = 1009, wl = 1010, Rl = 1011, as = 1012, co = 1013, sn = 1014, an = 1015, gi = 1016, uo = 1017, ho = 1018, En = 1020, Cl = 1021, Ft = 1023, Ll = 1024, Pl = 1025, yn = 1026, ti = 1027, Dl = 1028, fo = 1029, Ul = 1030, po = 1031, mo = 1033, mr = 33776, _r = 33777, gr = 33778, vr = 33779, Rs = 35840, Cs = 35841, Ls = 35842, Ps = 35843, _o = 36196, Ds = 37492, Us = 37496, Is = 37808, Ns = 37809, Fs = 37810, Os = 37811, Bs = 37812, zs = 37813, Gs = 37814, Hs = 37815, Vs = 37816, ks = 37817, Ws = 37818, Xs = 37819, qs = 37820, Ys = 37821, xr = 36492, js = 36494, Ks = 36495, Il = 36283, Zs = 36284, $s = 36285, Js = 36286, go = 3e3, Tn = 3001, Nl = 3200, Fl = 3201, vo = 0, Ol = 1, Ct = "", ht = "srgb", $t = "srgb-linear", os = "display-p3", sr = "display-p3-linear", Ji = "linear", Ze = "srgb", Qi = "rec709", er = "p3", Dn = 7680, Qs = 519, Bl = 512, zl = 513, Gl = 514, xo = 515, Hl = 516, Vl = 517, kl = 518, Wl = 519, ea = 35044, ta = "300 es", ts = 1035, Zt = 2e3, tr = 2001; +class Rn { + addEventListener(e, t) { + this._listeners === void 0 && (this._listeners = {}); + const n = this._listeners; + n[e] === void 0 && (n[e] = []), n[e].indexOf(t) === -1 && n[e].push(t); + } + hasEventListener(e, t) { + if (this._listeners === void 0) return !1; + const n = this._listeners; + return n[e] !== void 0 && n[e].indexOf(t) !== -1; + } + removeEventListener(e, t) { + if (this._listeners === void 0) return; + const r = this._listeners[e]; + if (r !== void 0) { + const s = r.indexOf(t); + s !== -1 && r.splice(s, 1); + } + } + dispatchEvent(e) { + if (this._listeners === void 0) return; + const n = this._listeners[e.type]; + if (n !== void 0) { + e.target = this; + const r = n.slice(0); + for (let s = 0, o = r.length; s < o; s++) + r[s].call(this, e); + e.target = null; + } + } +} +const pt = ["00", "01", "02", "03", "04", "05", "06", "07", "08", "09", "0a", "0b", "0c", "0d", "0e", "0f", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "1a", "1b", "1c", "1d", "1e", "1f", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "2a", "2b", "2c", "2d", "2e", "2f", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "3a", "3b", "3c", "3d", "3e", "3f", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "4a", "4b", "4c", "4d", "4e", "4f", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "5a", "5b", "5c", "5d", "5e", "5f", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "6a", "6b", "6c", "6d", "6e", "6f", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "7a", "7b", "7c", "7d", "7e", "7f", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "8a", "8b", "8c", "8d", "8e", "8f", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "9a", "9b", "9c", "9d", "9e", "9f", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "aa", "ab", "ac", "ad", "ae", "af", "b0", "b1", "b2", "b3", "b4", "b5", "b6", "b7", "b8", "b9", "ba", "bb", "bc", "bd", "be", "bf", "c0", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "ca", "cb", "cc", "cd", "ce", "cf", "d0", "d1", "d2", "d3", "d4", "d5", "d6", "d7", "d8", "d9", "da", "db", "dc", "dd", "de", "df", "e0", "e1", "e2", "e3", "e4", "e5", "e6", "e7", "e8", "e9", "ea", "eb", "ec", "ed", "ee", "ef", "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7", "f8", "f9", "fa", "fb", "fc", "fd", "fe", "ff"], Ki = Math.PI / 180, ns = 180 / Math.PI; +function vi() { + const i = Math.random() * 4294967295 | 0, e = Math.random() * 4294967295 | 0, t = Math.random() * 4294967295 | 0, n = Math.random() * 4294967295 | 0; + return (pt[i & 255] + pt[i >> 8 & 255] + pt[i >> 16 & 255] + pt[i >> 24 & 255] + "-" + pt[e & 255] + pt[e >> 8 & 255] + "-" + pt[e >> 16 & 15 | 64] + pt[e >> 24 & 255] + "-" + pt[t & 63 | 128] + pt[t >> 8 & 255] + "-" + pt[t >> 16 & 255] + pt[t >> 24 & 255] + pt[n & 255] + pt[n >> 8 & 255] + pt[n >> 16 & 255] + pt[n >> 24 & 255]).toLowerCase(); +} +function vt(i, e, t) { + return Math.max(e, Math.min(t, i)); +} +function Xl(i, e) { + return (i % e + e) % e; +} +function Mr(i, e, t) { + return (1 - t) * i + t * e; +} +function na(i) { + return (i & i - 1) === 0 && i !== 0; +} +function is(i) { + return Math.pow(2, Math.floor(Math.log(i) / Math.LN2)); +} +function oi(i, e) { + switch (e.constructor) { + case Float32Array: + return i; + case Uint32Array: + return i / 4294967295; + case Uint16Array: + return i / 65535; + case Uint8Array: + return i / 255; + case Int32Array: + return Math.max(i / 2147483647, -1); + case Int16Array: + return Math.max(i / 32767, -1); + case Int8Array: + return Math.max(i / 127, -1); + default: + throw new Error("Invalid component type."); + } +} +function xt(i, e) { + switch (e.constructor) { + case Float32Array: + return i; + case Uint32Array: + return Math.round(i * 4294967295); + case Uint16Array: + return Math.round(i * 65535); + case Uint8Array: + return Math.round(i * 255); + case Int32Array: + return Math.round(i * 2147483647); + case Int16Array: + return Math.round(i * 32767); + case Int8Array: + return Math.round(i * 127); + default: + throw new Error("Invalid component type."); + } +} +const ql = { + DEG2RAD: Ki +}; +class Ie { + constructor(e = 0, t = 0) { + Ie.prototype.isVector2 = !0, this.x = e, this.y = t; + } + get width() { + return this.x; + } + set width(e) { + this.x = e; + } + get height() { + return this.y; + } + set height(e) { + this.y = e; + } + set(e, t) { + return this.x = e, this.y = t, this; + } + setScalar(e) { + return this.x = e, this.y = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y); + } + copy(e) { + return this.x = e.x, this.y = e.y, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this; + } + addScalar(e) { + return this.x += e, this.y += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this; + } + divide(e) { + return this.x /= e.x, this.y /= e.y, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + applyMatrix3(e) { + const t = this.x, n = this.y, r = e.elements; + return this.x = r[0] * t + r[3] * n + r[6], this.y = r[1] * t + r[4] * n + r[7], this; + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this; + } + dot(e) { + return this.x * e.x + this.y * e.y; + } + cross(e) { + return this.x * e.y - this.y * e.x; + } + lengthSq() { + return this.x * this.x + this.y * this.y; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + angle() { + return Math.atan2(-this.y, -this.x) + Math.PI; + } + angleTo(e) { + const t = Math.sqrt(this.lengthSq() * e.lengthSq()); + if (t === 0) return Math.PI / 2; + const n = this.dot(e) / t; + return Math.acos(vt(n, -1, 1)); + } + distanceTo(e) { + return Math.sqrt(this.distanceToSquared(e)); + } + distanceToSquared(e) { + const t = this.x - e.x, n = this.y - e.y; + return t * t + n * n; + } + manhattanDistanceTo(e) { + return Math.abs(this.x - e.x) + Math.abs(this.y - e.y); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this; + } + equals(e) { + return e.x === this.x && e.y === this.y; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this; + } + rotateAround(e, t) { + const n = Math.cos(t), r = Math.sin(t), s = this.x - e.x, o = this.y - e.y; + return this.x = s * n - o * r + e.x, this.y = s * r + o * n + e.y, this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y; + } +} +class Ve { + constructor(e, t, n, r, s, o, a, l, c) { + Ve.prototype.isMatrix3 = !0, this.elements = [ + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1 + ], e !== void 0 && this.set(e, t, n, r, s, o, a, l, c); + } + set(e, t, n, r, s, o, a, l, c) { + const h = this.elements; + return h[0] = e, h[1] = r, h[2] = a, h[3] = t, h[4] = s, h[5] = l, h[6] = n, h[7] = o, h[8] = c, this; + } + identity() { + return this.set( + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1 + ), this; + } + copy(e) { + const t = this.elements, n = e.elements; + return t[0] = n[0], t[1] = n[1], t[2] = n[2], t[3] = n[3], t[4] = n[4], t[5] = n[5], t[6] = n[6], t[7] = n[7], t[8] = n[8], this; + } + extractBasis(e, t, n) { + return e.setFromMatrix3Column(this, 0), t.setFromMatrix3Column(this, 1), n.setFromMatrix3Column(this, 2), this; + } + setFromMatrix4(e) { + const t = e.elements; + return this.set( + t[0], + t[4], + t[8], + t[1], + t[5], + t[9], + t[2], + t[6], + t[10] + ), this; + } + multiply(e) { + return this.multiplyMatrices(this, e); + } + premultiply(e) { + return this.multiplyMatrices(e, this); + } + multiplyMatrices(e, t) { + const n = e.elements, r = t.elements, s = this.elements, o = n[0], a = n[3], l = n[6], c = n[1], h = n[4], d = n[7], p = n[2], m = n[5], g = n[8], v = r[0], f = r[3], u = r[6], b = r[1], S = r[4], R = r[7], D = r[2], C = r[5], A = r[8]; + return s[0] = o * v + a * b + l * D, s[3] = o * f + a * S + l * C, s[6] = o * u + a * R + l * A, s[1] = c * v + h * b + d * D, s[4] = c * f + h * S + d * C, s[7] = c * u + h * R + d * A, s[2] = p * v + m * b + g * D, s[5] = p * f + m * S + g * C, s[8] = p * u + m * R + g * A, this; + } + multiplyScalar(e) { + const t = this.elements; + return t[0] *= e, t[3] *= e, t[6] *= e, t[1] *= e, t[4] *= e, t[7] *= e, t[2] *= e, t[5] *= e, t[8] *= e, this; + } + determinant() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8]; + return t * o * h - t * a * c - n * s * h + n * a * l + r * s * c - r * o * l; + } + invert() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8], d = h * o - a * c, p = a * l - h * s, m = c * s - o * l, g = t * d + n * p + r * m; + if (g === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0); + const v = 1 / g; + return e[0] = d * v, e[1] = (r * c - h * n) * v, e[2] = (a * n - r * o) * v, e[3] = p * v, e[4] = (h * t - r * l) * v, e[5] = (r * s - a * t) * v, e[6] = m * v, e[7] = (n * l - c * t) * v, e[8] = (o * t - n * s) * v, this; + } + transpose() { + let e; + const t = this.elements; + return e = t[1], t[1] = t[3], t[3] = e, e = t[2], t[2] = t[6], t[6] = e, e = t[5], t[5] = t[7], t[7] = e, this; + } + getNormalMatrix(e) { + return this.setFromMatrix4(e).invert().transpose(); + } + transposeIntoArray(e) { + const t = this.elements; + return e[0] = t[0], e[1] = t[3], e[2] = t[6], e[3] = t[1], e[4] = t[4], e[5] = t[7], e[6] = t[2], e[7] = t[5], e[8] = t[8], this; + } + setUvTransform(e, t, n, r, s, o, a) { + const l = Math.cos(s), c = Math.sin(s); + return this.set( + n * l, + n * c, + -n * (l * o + c * a) + o + e, + -r * c, + r * l, + -r * (-c * o + l * a) + a + t, + 0, + 0, + 1 + ), this; + } + // + scale(e, t) { + return this.premultiply(Sr.makeScale(e, t)), this; + } + rotate(e) { + return this.premultiply(Sr.makeRotation(-e)), this; + } + translate(e, t) { + return this.premultiply(Sr.makeTranslation(e, t)), this; + } + // for 2D Transforms + makeTranslation(e, t) { + return e.isVector2 ? this.set( + 1, + 0, + e.x, + 0, + 1, + e.y, + 0, + 0, + 1 + ) : this.set( + 1, + 0, + e, + 0, + 1, + t, + 0, + 0, + 1 + ), this; + } + makeRotation(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + -n, + 0, + n, + t, + 0, + 0, + 0, + 1 + ), this; + } + makeScale(e, t) { + return this.set( + e, + 0, + 0, + 0, + t, + 0, + 0, + 0, + 1 + ), this; + } + // + equals(e) { + const t = this.elements, n = e.elements; + for (let r = 0; r < 9; r++) + if (t[r] !== n[r]) return !1; + return !0; + } + fromArray(e, t = 0) { + for (let n = 0; n < 9; n++) + this.elements[n] = e[n + t]; + return this; + } + toArray(e = [], t = 0) { + const n = this.elements; + return e[t] = n[0], e[t + 1] = n[1], e[t + 2] = n[2], e[t + 3] = n[3], e[t + 4] = n[4], e[t + 5] = n[5], e[t + 6] = n[6], e[t + 7] = n[7], e[t + 8] = n[8], e; + } + clone() { + return new this.constructor().fromArray(this.elements); + } +} +const Sr = /* @__PURE__ */ new Ve(); +function Mo(i) { + for (let e = i.length - 1; e >= 0; --e) + if (i[e] >= 65535) return !0; + return !1; +} +function nr(i) { + return document.createElementNS("http://www.w3.org/1999/xhtml", i); +} +function Yl() { + const i = nr("canvas"); + return i.style.display = "block", i; +} +const ia = {}; +function mi(i) { + i in ia || (ia[i] = !0, console.warn(i)); +} +const ra = /* @__PURE__ */ new Ve().set( + 0.8224621, + 0.177538, + 0, + 0.0331941, + 0.9668058, + 0, + 0.0170827, + 0.0723974, + 0.9105199 +), sa = /* @__PURE__ */ new Ve().set( + 1.2249401, + -0.2249404, + 0, + -0.0420569, + 1.0420571, + 0, + -0.0196376, + -0.0786361, + 1.0982735 +), Ti = { + [$t]: { + transfer: Ji, + primaries: Qi, + toReference: (i) => i, + fromReference: (i) => i + }, + [ht]: { + transfer: Ze, + primaries: Qi, + toReference: (i) => i.convertSRGBToLinear(), + fromReference: (i) => i.convertLinearToSRGB() + }, + [sr]: { + transfer: Ji, + primaries: er, + toReference: (i) => i.applyMatrix3(sa), + fromReference: (i) => i.applyMatrix3(ra) + }, + [os]: { + transfer: Ze, + primaries: er, + toReference: (i) => i.convertSRGBToLinear().applyMatrix3(sa), + fromReference: (i) => i.applyMatrix3(ra).convertLinearToSRGB() + } +}, jl = /* @__PURE__ */ new Set([$t, sr]), Ke = { + enabled: !0, + _workingColorSpace: $t, + get workingColorSpace() { + return this._workingColorSpace; + }, + set workingColorSpace(i) { + if (!jl.has(i)) + throw new Error(`Unsupported working color space, "${i}".`); + this._workingColorSpace = i; + }, + convert: function(i, e, t) { + if (this.enabled === !1 || e === t || !e || !t) + return i; + const n = Ti[e].toReference, r = Ti[t].fromReference; + return r(n(i)); + }, + fromWorkingColorSpace: function(i, e) { + return this.convert(i, this._workingColorSpace, e); + }, + toWorkingColorSpace: function(i, e) { + return this.convert(i, e, this._workingColorSpace); + }, + getPrimaries: function(i) { + return Ti[i].primaries; + }, + getTransfer: function(i) { + return i === Ct ? Ji : Ti[i].transfer; + } +}; +function Jn(i) { + return i < 0.04045 ? i * 0.0773993808 : Math.pow(i * 0.9478672986 + 0.0521327014, 2.4); +} +function Er(i) { + return i < 31308e-7 ? i * 12.92 : 1.055 * Math.pow(i, 0.41666) - 0.055; +} +let Un; +class So { + static getDataURL(e) { + if (/^data:/i.test(e.src) || typeof HTMLCanvasElement > "u") + return e.src; + let t; + if (e instanceof HTMLCanvasElement) + t = e; + else { + Un === void 0 && (Un = nr("canvas")), Un.width = e.width, Un.height = e.height; + const n = Un.getContext("2d"); + e instanceof ImageData ? n.putImageData(e, 0, 0) : n.drawImage(e, 0, 0, e.width, e.height), t = Un; + } + return t.width > 2048 || t.height > 2048 ? (console.warn("THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons", e), t.toDataURL("image/jpeg", 0.6)) : t.toDataURL("image/png"); + } + static sRGBToLinear(e) { + if (typeof HTMLImageElement < "u" && e instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && e instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && e instanceof ImageBitmap) { + const t = nr("canvas"); + t.width = e.width, t.height = e.height; + const n = t.getContext("2d"); + n.drawImage(e, 0, 0, e.width, e.height); + const r = n.getImageData(0, 0, e.width, e.height), s = r.data; + for (let o = 0; o < s.length; o++) + s[o] = Jn(s[o] / 255) * 255; + return n.putImageData(r, 0, 0), t; + } else if (e.data) { + const t = e.data.slice(0); + for (let n = 0; n < t.length; n++) + t instanceof Uint8Array || t instanceof Uint8ClampedArray ? t[n] = Math.floor(Jn(t[n] / 255) * 255) : t[n] = Jn(t[n]); + return { + data: t, + width: e.width, + height: e.height + }; + } else + return console.warn("THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied."), e; + } +} +let Kl = 0; +class Eo { + constructor(e = null) { + this.isSource = !0, Object.defineProperty(this, "id", { value: Kl++ }), this.uuid = vi(), this.data = e, this.version = 0; + } + set needsUpdate(e) { + e === !0 && this.version++; + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + if (!t && e.images[this.uuid] !== void 0) + return e.images[this.uuid]; + const n = { + uuid: this.uuid, + url: "" + }, r = this.data; + if (r !== null) { + let s; + if (Array.isArray(r)) { + s = []; + for (let o = 0, a = r.length; o < a; o++) + r[o].isDataTexture ? s.push(yr(r[o].image)) : s.push(yr(r[o])); + } else + s = yr(r); + n.url = s; + } + return t || (e.images[this.uuid] = n), n; + } +} +function yr(i) { + return typeof HTMLImageElement < "u" && i instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && i instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && i instanceof ImageBitmap ? So.getDataURL(i) : i.data ? { + data: Array.from(i.data), + width: i.width, + height: i.height, + type: i.data.constructor.name + } : (console.warn("THREE.Texture: Unable to serialize Texture."), {}); +} +let Zl = 0; +class bt extends Rn { + constructor(e = bt.DEFAULT_IMAGE, t = bt.DEFAULT_MAPPING, n = Nt, r = Nt, s = Rt, o = _i, a = Ft, l = cn, c = bt.DEFAULT_ANISOTROPY, h = Ct) { + super(), this.isTexture = !0, Object.defineProperty(this, "id", { value: Zl++ }), this.uuid = vi(), this.name = "", this.source = new Eo(e), this.mipmaps = [], this.mapping = t, this.channel = 0, this.wrapS = n, this.wrapT = r, this.magFilter = s, this.minFilter = o, this.anisotropy = c, this.format = a, this.internalFormat = null, this.type = l, this.offset = new Ie(0, 0), this.repeat = new Ie(1, 1), this.center = new Ie(0, 0), this.rotation = 0, this.matrixAutoUpdate = !0, this.matrix = new Ve(), this.generateMipmaps = !0, this.premultiplyAlpha = !1, this.flipY = !0, this.unpackAlignment = 4, typeof h == "string" ? this.colorSpace = h : (mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace = h === Tn ? ht : Ct), this.userData = {}, this.version = 0, this.onUpdate = null, this.isRenderTargetTexture = !1, this.needsPMREMUpdate = !1; + } + get image() { + return this.source.data; + } + set image(e = null) { + this.source.data = e; + } + updateMatrix() { + this.matrix.setUvTransform(this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.name = e.name, this.source = e.source, this.mipmaps = e.mipmaps.slice(0), this.mapping = e.mapping, this.channel = e.channel, this.wrapS = e.wrapS, this.wrapT = e.wrapT, this.magFilter = e.magFilter, this.minFilter = e.minFilter, this.anisotropy = e.anisotropy, this.format = e.format, this.internalFormat = e.internalFormat, this.type = e.type, this.offset.copy(e.offset), this.repeat.copy(e.repeat), this.center.copy(e.center), this.rotation = e.rotation, this.matrixAutoUpdate = e.matrixAutoUpdate, this.matrix.copy(e.matrix), this.generateMipmaps = e.generateMipmaps, this.premultiplyAlpha = e.premultiplyAlpha, this.flipY = e.flipY, this.unpackAlignment = e.unpackAlignment, this.colorSpace = e.colorSpace, this.userData = JSON.parse(JSON.stringify(e.userData)), this.needsUpdate = !0, this; + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + if (!t && e.textures[this.uuid] !== void 0) + return e.textures[this.uuid]; + const n = { + metadata: { + version: 4.6, + type: "Texture", + generator: "Texture.toJSON" + }, + uuid: this.uuid, + name: this.name, + image: this.source.toJSON(e).uuid, + mapping: this.mapping, + channel: this.channel, + repeat: [this.repeat.x, this.repeat.y], + offset: [this.offset.x, this.offset.y], + center: [this.center.x, this.center.y], + rotation: this.rotation, + wrap: [this.wrapS, this.wrapT], + format: this.format, + internalFormat: this.internalFormat, + type: this.type, + colorSpace: this.colorSpace, + minFilter: this.minFilter, + magFilter: this.magFilter, + anisotropy: this.anisotropy, + flipY: this.flipY, + generateMipmaps: this.generateMipmaps, + premultiplyAlpha: this.premultiplyAlpha, + unpackAlignment: this.unpackAlignment + }; + return Object.keys(this.userData).length > 0 && (n.userData = this.userData), t || (e.textures[this.uuid] = n), n; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } + transformUv(e) { + if (this.mapping !== lo) return e; + if (e.applyMatrix3(this.matrix), e.x < 0 || e.x > 1) + switch (this.wrapS) { + case Qr: + e.x = e.x - Math.floor(e.x); + break; + case Nt: + e.x = e.x < 0 ? 0 : 1; + break; + case es: + Math.abs(Math.floor(e.x) % 2) === 1 ? e.x = Math.ceil(e.x) - e.x : e.x = e.x - Math.floor(e.x); + break; + } + if (e.y < 0 || e.y > 1) + switch (this.wrapT) { + case Qr: + e.y = e.y - Math.floor(e.y); + break; + case Nt: + e.y = e.y < 0 ? 0 : 1; + break; + case es: + Math.abs(Math.floor(e.y) % 2) === 1 ? e.y = Math.ceil(e.y) - e.y : e.y = e.y - Math.floor(e.y); + break; + } + return this.flipY && (e.y = 1 - e.y), e; + } + set needsUpdate(e) { + e === !0 && (this.version++, this.source.needsUpdate = !0); + } + get encoding() { + return mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace === ht ? Tn : go; + } + set encoding(e) { + mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace = e === Tn ? ht : Ct; + } +} +bt.DEFAULT_IMAGE = null; +bt.DEFAULT_MAPPING = lo; +bt.DEFAULT_ANISOTROPY = 1; +class $e { + constructor(e = 0, t = 0, n = 0, r = 1) { + $e.prototype.isVector4 = !0, this.x = e, this.y = t, this.z = n, this.w = r; + } + get width() { + return this.z; + } + set width(e) { + this.z = e; + } + get height() { + return this.w; + } + set height(e) { + this.w = e; + } + set(e, t, n, r) { + return this.x = e, this.y = t, this.z = n, this.w = r, this; + } + setScalar(e) { + return this.x = e, this.y = e, this.z = e, this.w = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setZ(e) { + return this.z = e, this; + } + setW(e) { + return this.w = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + case 2: + this.z = t; + break; + case 3: + this.w = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + case 2: + return this.z; + case 3: + return this.w; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y, this.z, this.w); + } + copy(e) { + return this.x = e.x, this.y = e.y, this.z = e.z, this.w = e.w !== void 0 ? e.w : 1, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this.z += e.z, this.w += e.w, this; + } + addScalar(e) { + return this.x += e, this.y += e, this.z += e, this.w += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this.z = e.z + t.z, this.w = e.w + t.w, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this.z += e.z * t, this.w += e.w * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this.z -= e.z, this.w -= e.w, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this.z -= e, this.w -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this.z = e.z - t.z, this.w = e.w - t.w, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this.z *= e.z, this.w *= e.w, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this.z *= e, this.w *= e, this; + } + applyMatrix4(e) { + const t = this.x, n = this.y, r = this.z, s = this.w, o = e.elements; + return this.x = o[0] * t + o[4] * n + o[8] * r + o[12] * s, this.y = o[1] * t + o[5] * n + o[9] * r + o[13] * s, this.z = o[2] * t + o[6] * n + o[10] * r + o[14] * s, this.w = o[3] * t + o[7] * n + o[11] * r + o[15] * s, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + setAxisAngleFromQuaternion(e) { + this.w = 2 * Math.acos(e.w); + const t = Math.sqrt(1 - e.w * e.w); + return t < 1e-4 ? (this.x = 1, this.y = 0, this.z = 0) : (this.x = e.x / t, this.y = e.y / t, this.z = e.z / t), this; + } + setAxisAngleFromRotationMatrix(e) { + let t, n, r, s; + const l = e.elements, c = l[0], h = l[4], d = l[8], p = l[1], m = l[5], g = l[9], v = l[2], f = l[6], u = l[10]; + if (Math.abs(h - p) < 0.01 && Math.abs(d - v) < 0.01 && Math.abs(g - f) < 0.01) { + if (Math.abs(h + p) < 0.1 && Math.abs(d + v) < 0.1 && Math.abs(g + f) < 0.1 && Math.abs(c + m + u - 3) < 0.1) + return this.set(1, 0, 0, 0), this; + t = Math.PI; + const S = (c + 1) / 2, R = (m + 1) / 2, D = (u + 1) / 2, C = (h + p) / 4, A = (d + v) / 4, W = (g + f) / 4; + return S > R && S > D ? S < 0.01 ? (n = 0, r = 0.707106781, s = 0.707106781) : (n = Math.sqrt(S), r = C / n, s = A / n) : R > D ? R < 0.01 ? (n = 0.707106781, r = 0, s = 0.707106781) : (r = Math.sqrt(R), n = C / r, s = W / r) : D < 0.01 ? (n = 0.707106781, r = 0.707106781, s = 0) : (s = Math.sqrt(D), n = A / s, r = W / s), this.set(n, r, s, t), this; + } + let b = Math.sqrt((f - g) * (f - g) + (d - v) * (d - v) + (p - h) * (p - h)); + return Math.abs(b) < 1e-3 && (b = 1), this.x = (f - g) / b, this.y = (d - v) / b, this.z = (p - h) / b, this.w = Math.acos((c + m + u - 1) / 2), this; + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this.z = Math.min(this.z, e.z), this.w = Math.min(this.w, e.w), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this.z = Math.max(this.z, e.z), this.w = Math.max(this.w, e.w), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this.z = Math.max(e.z, Math.min(t.z, this.z)), this.w = Math.max(e.w, Math.min(t.w, this.w)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this.z = Math.max(e, Math.min(t, this.z)), this.w = Math.max(e, Math.min(t, this.w)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this.z = Math.floor(this.z), this.w = Math.floor(this.w), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this.z = Math.ceil(this.z), this.w = Math.ceil(this.w), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this.z = Math.round(this.z), this.w = Math.round(this.w), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this.z = Math.trunc(this.z), this.w = Math.trunc(this.w), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this.z = -this.z, this.w = -this.w, this; + } + dot(e) { + return this.x * e.x + this.y * e.y + this.z * e.z + this.w * e.w; + } + lengthSq() { + return this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z) + Math.abs(this.w); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this.z += (e.z - this.z) * t, this.w += (e.w - this.w) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this.z = e.z + (t.z - e.z) * n, this.w = e.w + (t.w - e.w) * n, this; + } + equals(e) { + return e.x === this.x && e.y === this.y && e.z === this.z && e.w === this.w; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this.z = e[t + 2], this.w = e[t + 3], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e[t + 2] = this.z, e[t + 3] = this.w, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this.z = e.getZ(t), this.w = e.getW(t), this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this.z = Math.random(), this.w = Math.random(), this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y, yield this.z, yield this.w; + } +} +class $l extends Rn { + constructor(e = 1, t = 1, n = {}) { + super(), this.isRenderTarget = !0, this.width = e, this.height = t, this.depth = 1, this.scissor = new $e(0, 0, e, t), this.scissorTest = !1, this.viewport = new $e(0, 0, e, t); + const r = { width: e, height: t, depth: 1 }; + n.encoding !== void 0 && (mi("THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace."), n.colorSpace = n.encoding === Tn ? ht : Ct), n = Object.assign({ + generateMipmaps: !1, + internalFormat: null, + minFilter: Rt, + depthBuffer: !0, + stencilBuffer: !1, + depthTexture: null, + samples: 0 + }, n), this.texture = new bt(r, n.mapping, n.wrapS, n.wrapT, n.magFilter, n.minFilter, n.format, n.type, n.anisotropy, n.colorSpace), this.texture.isRenderTargetTexture = !0, this.texture.flipY = !1, this.texture.generateMipmaps = n.generateMipmaps, this.texture.internalFormat = n.internalFormat, this.depthBuffer = n.depthBuffer, this.stencilBuffer = n.stencilBuffer, this.depthTexture = n.depthTexture, this.samples = n.samples; + } + setSize(e, t, n = 1) { + (this.width !== e || this.height !== t || this.depth !== n) && (this.width = e, this.height = t, this.depth = n, this.texture.image.width = e, this.texture.image.height = t, this.texture.image.depth = n, this.dispose()), this.viewport.set(0, 0, e, t), this.scissor.set(0, 0, e, t); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.width = e.width, this.height = e.height, this.depth = e.depth, this.scissor.copy(e.scissor), this.scissorTest = e.scissorTest, this.viewport.copy(e.viewport), this.texture = e.texture.clone(), this.texture.isRenderTargetTexture = !0; + const t = Object.assign({}, e.texture.image); + return this.texture.source = new Eo(t), this.depthBuffer = e.depthBuffer, this.stencilBuffer = e.stencilBuffer, e.depthTexture !== null && (this.depthTexture = e.depthTexture.clone()), this.samples = e.samples, this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +class bn extends $l { + constructor(e = 1, t = 1, n = {}) { + super(e, t, n), this.isWebGLRenderTarget = !0; + } +} +class yo extends bt { + constructor(e = null, t = 1, n = 1, r = 1) { + super(null), this.isDataArrayTexture = !0, this.image = { data: e, width: t, height: n, depth: r }, this.magFilter = gt, this.minFilter = gt, this.wrapR = Nt, this.generateMipmaps = !1, this.flipY = !1, this.unpackAlignment = 1; + } +} +class Jl extends bt { + constructor(e = null, t = 1, n = 1, r = 1) { + super(null), this.isData3DTexture = !0, this.image = { data: e, width: t, height: n, depth: r }, this.magFilter = gt, this.minFilter = gt, this.wrapR = Nt, this.generateMipmaps = !1, this.flipY = !1, this.unpackAlignment = 1; + } +} +class An { + constructor(e = 0, t = 0, n = 0, r = 1) { + this.isQuaternion = !0, this._x = e, this._y = t, this._z = n, this._w = r; + } + static slerpFlat(e, t, n, r, s, o, a) { + let l = n[r + 0], c = n[r + 1], h = n[r + 2], d = n[r + 3]; + const p = s[o + 0], m = s[o + 1], g = s[o + 2], v = s[o + 3]; + if (a === 0) { + e[t + 0] = l, e[t + 1] = c, e[t + 2] = h, e[t + 3] = d; + return; + } + if (a === 1) { + e[t + 0] = p, e[t + 1] = m, e[t + 2] = g, e[t + 3] = v; + return; + } + if (d !== v || l !== p || c !== m || h !== g) { + let f = 1 - a; + const u = l * p + c * m + h * g + d * v, b = u >= 0 ? 1 : -1, S = 1 - u * u; + if (S > Number.EPSILON) { + const D = Math.sqrt(S), C = Math.atan2(D, u * b); + f = Math.sin(f * C) / D, a = Math.sin(a * C) / D; + } + const R = a * b; + if (l = l * f + p * R, c = c * f + m * R, h = h * f + g * R, d = d * f + v * R, f === 1 - a) { + const D = 1 / Math.sqrt(l * l + c * c + h * h + d * d); + l *= D, c *= D, h *= D, d *= D; + } + } + e[t] = l, e[t + 1] = c, e[t + 2] = h, e[t + 3] = d; + } + static multiplyQuaternionsFlat(e, t, n, r, s, o) { + const a = n[r], l = n[r + 1], c = n[r + 2], h = n[r + 3], d = s[o], p = s[o + 1], m = s[o + 2], g = s[o + 3]; + return e[t] = a * g + h * d + l * m - c * p, e[t + 1] = l * g + h * p + c * d - a * m, e[t + 2] = c * g + h * m + a * p - l * d, e[t + 3] = h * g - a * d - l * p - c * m, e; + } + get x() { + return this._x; + } + set x(e) { + this._x = e, this._onChangeCallback(); + } + get y() { + return this._y; + } + set y(e) { + this._y = e, this._onChangeCallback(); + } + get z() { + return this._z; + } + set z(e) { + this._z = e, this._onChangeCallback(); + } + get w() { + return this._w; + } + set w(e) { + this._w = e, this._onChangeCallback(); + } + set(e, t, n, r) { + return this._x = e, this._y = t, this._z = n, this._w = r, this._onChangeCallback(), this; + } + clone() { + return new this.constructor(this._x, this._y, this._z, this._w); + } + copy(e) { + return this._x = e.x, this._y = e.y, this._z = e.z, this._w = e.w, this._onChangeCallback(), this; + } + setFromEuler(e, t = !0) { + const n = e._x, r = e._y, s = e._z, o = e._order, a = Math.cos, l = Math.sin, c = a(n / 2), h = a(r / 2), d = a(s / 2), p = l(n / 2), m = l(r / 2), g = l(s / 2); + switch (o) { + case "XYZ": + this._x = p * h * d + c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d - p * m * g; + break; + case "YXZ": + this._x = p * h * d + c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d + p * m * g; + break; + case "ZXY": + this._x = p * h * d - c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d - p * m * g; + break; + case "ZYX": + this._x = p * h * d - c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d + p * m * g; + break; + case "YZX": + this._x = p * h * d + c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d - p * m * g; + break; + case "XZY": + this._x = p * h * d - c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d + p * m * g; + break; + default: + console.warn("THREE.Quaternion: .setFromEuler() encountered an unknown order: " + o); + } + return t === !0 && this._onChangeCallback(), this; + } + setFromAxisAngle(e, t) { + const n = t / 2, r = Math.sin(n); + return this._x = e.x * r, this._y = e.y * r, this._z = e.z * r, this._w = Math.cos(n), this._onChangeCallback(), this; + } + setFromRotationMatrix(e) { + const t = e.elements, n = t[0], r = t[4], s = t[8], o = t[1], a = t[5], l = t[9], c = t[2], h = t[6], d = t[10], p = n + a + d; + if (p > 0) { + const m = 0.5 / Math.sqrt(p + 1); + this._w = 0.25 / m, this._x = (h - l) * m, this._y = (s - c) * m, this._z = (o - r) * m; + } else if (n > a && n > d) { + const m = 2 * Math.sqrt(1 + n - a - d); + this._w = (h - l) / m, this._x = 0.25 * m, this._y = (r + o) / m, this._z = (s + c) / m; + } else if (a > d) { + const m = 2 * Math.sqrt(1 + a - n - d); + this._w = (s - c) / m, this._x = (r + o) / m, this._y = 0.25 * m, this._z = (l + h) / m; + } else { + const m = 2 * Math.sqrt(1 + d - n - a); + this._w = (o - r) / m, this._x = (s + c) / m, this._y = (l + h) / m, this._z = 0.25 * m; + } + return this._onChangeCallback(), this; + } + setFromUnitVectors(e, t) { + let n = e.dot(t) + 1; + return n < Number.EPSILON ? (n = 0, Math.abs(e.x) > Math.abs(e.z) ? (this._x = -e.y, this._y = e.x, this._z = 0, this._w = n) : (this._x = 0, this._y = -e.z, this._z = e.y, this._w = n)) : (this._x = e.y * t.z - e.z * t.y, this._y = e.z * t.x - e.x * t.z, this._z = e.x * t.y - e.y * t.x, this._w = n), this.normalize(); + } + angleTo(e) { + return 2 * Math.acos(Math.abs(vt(this.dot(e), -1, 1))); + } + rotateTowards(e, t) { + const n = this.angleTo(e); + if (n === 0) return this; + const r = Math.min(1, t / n); + return this.slerp(e, r), this; + } + identity() { + return this.set(0, 0, 0, 1); + } + invert() { + return this.conjugate(); + } + conjugate() { + return this._x *= -1, this._y *= -1, this._z *= -1, this._onChangeCallback(), this; + } + dot(e) { + return this._x * e._x + this._y * e._y + this._z * e._z + this._w * e._w; + } + lengthSq() { + return this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w; + } + length() { + return Math.sqrt(this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w); + } + normalize() { + let e = this.length(); + return e === 0 ? (this._x = 0, this._y = 0, this._z = 0, this._w = 1) : (e = 1 / e, this._x = this._x * e, this._y = this._y * e, this._z = this._z * e, this._w = this._w * e), this._onChangeCallback(), this; + } + multiply(e) { + return this.multiplyQuaternions(this, e); + } + premultiply(e) { + return this.multiplyQuaternions(e, this); + } + multiplyQuaternions(e, t) { + const n = e._x, r = e._y, s = e._z, o = e._w, a = t._x, l = t._y, c = t._z, h = t._w; + return this._x = n * h + o * a + r * c - s * l, this._y = r * h + o * l + s * a - n * c, this._z = s * h + o * c + n * l - r * a, this._w = o * h - n * a - r * l - s * c, this._onChangeCallback(), this; + } + slerp(e, t) { + if (t === 0) return this; + if (t === 1) return this.copy(e); + const n = this._x, r = this._y, s = this._z, o = this._w; + let a = o * e._w + n * e._x + r * e._y + s * e._z; + if (a < 0 ? (this._w = -e._w, this._x = -e._x, this._y = -e._y, this._z = -e._z, a = -a) : this.copy(e), a >= 1) + return this._w = o, this._x = n, this._y = r, this._z = s, this; + const l = 1 - a * a; + if (l <= Number.EPSILON) { + const m = 1 - t; + return this._w = m * o + t * this._w, this._x = m * n + t * this._x, this._y = m * r + t * this._y, this._z = m * s + t * this._z, this.normalize(), this; + } + const c = Math.sqrt(l), h = Math.atan2(c, a), d = Math.sin((1 - t) * h) / c, p = Math.sin(t * h) / c; + return this._w = o * d + this._w * p, this._x = n * d + this._x * p, this._y = r * d + this._y * p, this._z = s * d + this._z * p, this._onChangeCallback(), this; + } + slerpQuaternions(e, t, n) { + return this.copy(e).slerp(t, n); + } + random() { + const e = Math.random(), t = Math.sqrt(1 - e), n = Math.sqrt(e), r = 2 * Math.PI * Math.random(), s = 2 * Math.PI * Math.random(); + return this.set( + t * Math.cos(r), + n * Math.sin(s), + n * Math.cos(s), + t * Math.sin(r) + ); + } + equals(e) { + return e._x === this._x && e._y === this._y && e._z === this._z && e._w === this._w; + } + fromArray(e, t = 0) { + return this._x = e[t], this._y = e[t + 1], this._z = e[t + 2], this._w = e[t + 3], this._onChangeCallback(), this; + } + toArray(e = [], t = 0) { + return e[t] = this._x, e[t + 1] = this._y, e[t + 2] = this._z, e[t + 3] = this._w, e; + } + fromBufferAttribute(e, t) { + return this._x = e.getX(t), this._y = e.getY(t), this._z = e.getZ(t), this._w = e.getW(t), this._onChangeCallback(), this; + } + toJSON() { + return this.toArray(); + } + _onChange(e) { + return this._onChangeCallback = e, this; + } + _onChangeCallback() { + } + *[Symbol.iterator]() { + yield this._x, yield this._y, yield this._z, yield this._w; + } +} +class P { + constructor(e = 0, t = 0, n = 0) { + P.prototype.isVector3 = !0, this.x = e, this.y = t, this.z = n; + } + set(e, t, n) { + return n === void 0 && (n = this.z), this.x = e, this.y = t, this.z = n, this; + } + setScalar(e) { + return this.x = e, this.y = e, this.z = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setZ(e) { + return this.z = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + case 2: + this.z = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + case 2: + return this.z; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y, this.z); + } + copy(e) { + return this.x = e.x, this.y = e.y, this.z = e.z, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this.z += e.z, this; + } + addScalar(e) { + return this.x += e, this.y += e, this.z += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this.z = e.z + t.z, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this.z += e.z * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this.z -= e.z, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this.z -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this.z = e.z - t.z, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this.z *= e.z, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this.z *= e, this; + } + multiplyVectors(e, t) { + return this.x = e.x * t.x, this.y = e.y * t.y, this.z = e.z * t.z, this; + } + applyEuler(e) { + return this.applyQuaternion(aa.setFromEuler(e)); + } + applyAxisAngle(e, t) { + return this.applyQuaternion(aa.setFromAxisAngle(e, t)); + } + applyMatrix3(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements; + return this.x = s[0] * t + s[3] * n + s[6] * r, this.y = s[1] * t + s[4] * n + s[7] * r, this.z = s[2] * t + s[5] * n + s[8] * r, this; + } + applyNormalMatrix(e) { + return this.applyMatrix3(e).normalize(); + } + applyMatrix4(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements, o = 1 / (s[3] * t + s[7] * n + s[11] * r + s[15]); + return this.x = (s[0] * t + s[4] * n + s[8] * r + s[12]) * o, this.y = (s[1] * t + s[5] * n + s[9] * r + s[13]) * o, this.z = (s[2] * t + s[6] * n + s[10] * r + s[14]) * o, this; + } + applyQuaternion(e) { + const t = this.x, n = this.y, r = this.z, s = e.x, o = e.y, a = e.z, l = e.w, c = 2 * (o * r - a * n), h = 2 * (a * t - s * r), d = 2 * (s * n - o * t); + return this.x = t + l * c + o * d - a * h, this.y = n + l * h + a * c - s * d, this.z = r + l * d + s * h - o * c, this; + } + project(e) { + return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix); + } + unproject(e) { + return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld); + } + transformDirection(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements; + return this.x = s[0] * t + s[4] * n + s[8] * r, this.y = s[1] * t + s[5] * n + s[9] * r, this.z = s[2] * t + s[6] * n + s[10] * r, this.normalize(); + } + divide(e) { + return this.x /= e.x, this.y /= e.y, this.z /= e.z, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this.z = Math.min(this.z, e.z), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this.z = Math.max(this.z, e.z), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this.z = Math.max(e.z, Math.min(t.z, this.z)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this.z = Math.max(e, Math.min(t, this.z)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this.z = Math.floor(this.z), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this.z = Math.ceil(this.z), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this.z = Math.round(this.z), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this.z = Math.trunc(this.z), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this.z = -this.z, this; + } + dot(e) { + return this.x * e.x + this.y * e.y + this.z * e.z; + } + // TODO lengthSquared? + lengthSq() { + return this.x * this.x + this.y * this.y + this.z * this.z; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this.z += (e.z - this.z) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this.z = e.z + (t.z - e.z) * n, this; + } + cross(e) { + return this.crossVectors(this, e); + } + crossVectors(e, t) { + const n = e.x, r = e.y, s = e.z, o = t.x, a = t.y, l = t.z; + return this.x = r * l - s * a, this.y = s * o - n * l, this.z = n * a - r * o, this; + } + projectOnVector(e) { + const t = e.lengthSq(); + if (t === 0) return this.set(0, 0, 0); + const n = e.dot(this) / t; + return this.copy(e).multiplyScalar(n); + } + projectOnPlane(e) { + return Tr.copy(this).projectOnVector(e), this.sub(Tr); + } + reflect(e) { + return this.sub(Tr.copy(e).multiplyScalar(2 * this.dot(e))); + } + angleTo(e) { + const t = Math.sqrt(this.lengthSq() * e.lengthSq()); + if (t === 0) return Math.PI / 2; + const n = this.dot(e) / t; + return Math.acos(vt(n, -1, 1)); + } + distanceTo(e) { + return Math.sqrt(this.distanceToSquared(e)); + } + distanceToSquared(e) { + const t = this.x - e.x, n = this.y - e.y, r = this.z - e.z; + return t * t + n * n + r * r; + } + manhattanDistanceTo(e) { + return Math.abs(this.x - e.x) + Math.abs(this.y - e.y) + Math.abs(this.z - e.z); + } + setFromSpherical(e) { + return this.setFromSphericalCoords(e.radius, e.phi, e.theta); + } + setFromSphericalCoords(e, t, n) { + const r = Math.sin(t) * e; + return this.x = r * Math.sin(n), this.y = Math.cos(t) * e, this.z = r * Math.cos(n), this; + } + setFromCylindrical(e) { + return this.setFromCylindricalCoords(e.radius, e.theta, e.y); + } + setFromCylindricalCoords(e, t, n) { + return this.x = e * Math.sin(t), this.y = n, this.z = e * Math.cos(t), this; + } + setFromMatrixPosition(e) { + const t = e.elements; + return this.x = t[12], this.y = t[13], this.z = t[14], this; + } + setFromMatrixScale(e) { + const t = this.setFromMatrixColumn(e, 0).length(), n = this.setFromMatrixColumn(e, 1).length(), r = this.setFromMatrixColumn(e, 2).length(); + return this.x = t, this.y = n, this.z = r, this; + } + setFromMatrixColumn(e, t) { + return this.fromArray(e.elements, t * 4); + } + setFromMatrix3Column(e, t) { + return this.fromArray(e.elements, t * 3); + } + setFromEuler(e) { + return this.x = e._x, this.y = e._y, this.z = e._z, this; + } + setFromColor(e) { + return this.x = e.r, this.y = e.g, this.z = e.b, this; + } + equals(e) { + return e.x === this.x && e.y === this.y && e.z === this.z; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this.z = e[t + 2], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e[t + 2] = this.z, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this.z = e.getZ(t), this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this.z = Math.random(), this; + } + randomDirection() { + const e = (Math.random() - 0.5) * 2, t = Math.random() * Math.PI * 2, n = Math.sqrt(1 - e ** 2); + return this.x = n * Math.cos(t), this.y = n * Math.sin(t), this.z = e, this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y, yield this.z; + } +} +const Tr = /* @__PURE__ */ new P(), aa = /* @__PURE__ */ new An(); +class Cn { + constructor(e = new P(1 / 0, 1 / 0, 1 / 0), t = new P(-1 / 0, -1 / 0, -1 / 0)) { + this.isBox3 = !0, this.min = e, this.max = t; + } + set(e, t) { + return this.min.copy(e), this.max.copy(t), this; + } + setFromArray(e) { + this.makeEmpty(); + for (let t = 0, n = e.length; t < n; t += 3) + this.expandByPoint(Lt.fromArray(e, t)); + return this; + } + setFromBufferAttribute(e) { + this.makeEmpty(); + for (let t = 0, n = e.count; t < n; t++) + this.expandByPoint(Lt.fromBufferAttribute(e, t)); + return this; + } + setFromPoints(e) { + this.makeEmpty(); + for (let t = 0, n = e.length; t < n; t++) + this.expandByPoint(e[t]); + return this; + } + setFromCenterAndSize(e, t) { + const n = Lt.copy(t).multiplyScalar(0.5); + return this.min.copy(e).sub(n), this.max.copy(e).add(n), this; + } + setFromObject(e, t = !1) { + return this.makeEmpty(), this.expandByObject(e, t); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.min.copy(e.min), this.max.copy(e.max), this; + } + makeEmpty() { + return this.min.x = this.min.y = this.min.z = 1 / 0, this.max.x = this.max.y = this.max.z = -1 / 0, this; + } + isEmpty() { + return this.max.x < this.min.x || this.max.y < this.min.y || this.max.z < this.min.z; + } + getCenter(e) { + return this.isEmpty() ? e.set(0, 0, 0) : e.addVectors(this.min, this.max).multiplyScalar(0.5); + } + getSize(e) { + return this.isEmpty() ? e.set(0, 0, 0) : e.subVectors(this.max, this.min); + } + expandByPoint(e) { + return this.min.min(e), this.max.max(e), this; + } + expandByVector(e) { + return this.min.sub(e), this.max.add(e), this; + } + expandByScalar(e) { + return this.min.addScalar(-e), this.max.addScalar(e), this; + } + expandByObject(e, t = !1) { + e.updateWorldMatrix(!1, !1); + const n = e.geometry; + if (n !== void 0) { + const s = n.getAttribute("position"); + if (t === !0 && s !== void 0 && e.isInstancedMesh !== !0) + for (let o = 0, a = s.count; o < a; o++) + e.isMesh === !0 ? e.getVertexPosition(o, Lt) : Lt.fromBufferAttribute(s, o), Lt.applyMatrix4(e.matrixWorld), this.expandByPoint(Lt); + else + e.boundingBox !== void 0 ? (e.boundingBox === null && e.computeBoundingBox(), bi.copy(e.boundingBox)) : (n.boundingBox === null && n.computeBoundingBox(), bi.copy(n.boundingBox)), bi.applyMatrix4(e.matrixWorld), this.union(bi); + } + const r = e.children; + for (let s = 0, o = r.length; s < o; s++) + this.expandByObject(r[s], t); + return this; + } + containsPoint(e) { + return !(e.x < this.min.x || e.x > this.max.x || e.y < this.min.y || e.y > this.max.y || e.z < this.min.z || e.z > this.max.z); + } + containsBox(e) { + return this.min.x <= e.min.x && e.max.x <= this.max.x && this.min.y <= e.min.y && e.max.y <= this.max.y && this.min.z <= e.min.z && e.max.z <= this.max.z; + } + getParameter(e, t) { + return t.set( + (e.x - this.min.x) / (this.max.x - this.min.x), + (e.y - this.min.y) / (this.max.y - this.min.y), + (e.z - this.min.z) / (this.max.z - this.min.z) + ); + } + intersectsBox(e) { + return !(e.max.x < this.min.x || e.min.x > this.max.x || e.max.y < this.min.y || e.min.y > this.max.y || e.max.z < this.min.z || e.min.z > this.max.z); + } + intersectsSphere(e) { + return this.clampPoint(e.center, Lt), Lt.distanceToSquared(e.center) <= e.radius * e.radius; + } + intersectsPlane(e) { + let t, n; + return e.normal.x > 0 ? (t = e.normal.x * this.min.x, n = e.normal.x * this.max.x) : (t = e.normal.x * this.max.x, n = e.normal.x * this.min.x), e.normal.y > 0 ? (t += e.normal.y * this.min.y, n += e.normal.y * this.max.y) : (t += e.normal.y * this.max.y, n += e.normal.y * this.min.y), e.normal.z > 0 ? (t += e.normal.z * this.min.z, n += e.normal.z * this.max.z) : (t += e.normal.z * this.max.z, n += e.normal.z * this.min.z), t <= -e.constant && n >= -e.constant; + } + intersectsTriangle(e) { + if (this.isEmpty()) + return !1; + this.getCenter(li), Ai.subVectors(this.max, li), In.subVectors(e.a, li), Nn.subVectors(e.b, li), Fn.subVectors(e.c, li), Jt.subVectors(Nn, In), Qt.subVectors(Fn, Nn), mn.subVectors(In, Fn); + let t = [ + 0, + -Jt.z, + Jt.y, + 0, + -Qt.z, + Qt.y, + 0, + -mn.z, + mn.y, + Jt.z, + 0, + -Jt.x, + Qt.z, + 0, + -Qt.x, + mn.z, + 0, + -mn.x, + -Jt.y, + Jt.x, + 0, + -Qt.y, + Qt.x, + 0, + -mn.y, + mn.x, + 0 + ]; + return !br(t, In, Nn, Fn, Ai) || (t = [1, 0, 0, 0, 1, 0, 0, 0, 1], !br(t, In, Nn, Fn, Ai)) ? !1 : (wi.crossVectors(Jt, Qt), t = [wi.x, wi.y, wi.z], br(t, In, Nn, Fn, Ai)); + } + clampPoint(e, t) { + return t.copy(e).clamp(this.min, this.max); + } + distanceToPoint(e) { + return this.clampPoint(e, Lt).distanceTo(e); + } + getBoundingSphere(e) { + return this.isEmpty() ? e.makeEmpty() : (this.getCenter(e.center), e.radius = this.getSize(Lt).length() * 0.5), e; + } + intersect(e) { + return this.min.max(e.min), this.max.min(e.max), this.isEmpty() && this.makeEmpty(), this; + } + union(e) { + return this.min.min(e.min), this.max.max(e.max), this; + } + applyMatrix4(e) { + return this.isEmpty() ? this : (kt[0].set(this.min.x, this.min.y, this.min.z).applyMatrix4(e), kt[1].set(this.min.x, this.min.y, this.max.z).applyMatrix4(e), kt[2].set(this.min.x, this.max.y, this.min.z).applyMatrix4(e), kt[3].set(this.min.x, this.max.y, this.max.z).applyMatrix4(e), kt[4].set(this.max.x, this.min.y, this.min.z).applyMatrix4(e), kt[5].set(this.max.x, this.min.y, this.max.z).applyMatrix4(e), kt[6].set(this.max.x, this.max.y, this.min.z).applyMatrix4(e), kt[7].set(this.max.x, this.max.y, this.max.z).applyMatrix4(e), this.setFromPoints(kt), this); + } + translate(e) { + return this.min.add(e), this.max.add(e), this; + } + equals(e) { + return e.min.equals(this.min) && e.max.equals(this.max); + } +} +const kt = [ + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P() +], Lt = /* @__PURE__ */ new P(), bi = /* @__PURE__ */ new Cn(), In = /* @__PURE__ */ new P(), Nn = /* @__PURE__ */ new P(), Fn = /* @__PURE__ */ new P(), Jt = /* @__PURE__ */ new P(), Qt = /* @__PURE__ */ new P(), mn = /* @__PURE__ */ new P(), li = /* @__PURE__ */ new P(), Ai = /* @__PURE__ */ new P(), wi = /* @__PURE__ */ new P(), _n = /* @__PURE__ */ new P(); +function br(i, e, t, n, r) { + for (let s = 0, o = i.length - 3; s <= o; s += 3) { + _n.fromArray(i, s); + const a = r.x * Math.abs(_n.x) + r.y * Math.abs(_n.y) + r.z * Math.abs(_n.z), l = e.dot(_n), c = t.dot(_n), h = n.dot(_n); + if (Math.max(-Math.max(l, c, h), Math.min(l, c, h)) > a) + return !1; + } + return !0; +} +const Ql = /* @__PURE__ */ new Cn(), ci = /* @__PURE__ */ new P(), Ar = /* @__PURE__ */ new P(); +class xi { + constructor(e = new P(), t = -1) { + this.isSphere = !0, this.center = e, this.radius = t; + } + set(e, t) { + return this.center.copy(e), this.radius = t, this; + } + setFromPoints(e, t) { + const n = this.center; + t !== void 0 ? n.copy(t) : Ql.setFromPoints(e).getCenter(n); + let r = 0; + for (let s = 0, o = e.length; s < o; s++) + r = Math.max(r, n.distanceToSquared(e[s])); + return this.radius = Math.sqrt(r), this; + } + copy(e) { + return this.center.copy(e.center), this.radius = e.radius, this; + } + isEmpty() { + return this.radius < 0; + } + makeEmpty() { + return this.center.set(0, 0, 0), this.radius = -1, this; + } + containsPoint(e) { + return e.distanceToSquared(this.center) <= this.radius * this.radius; + } + distanceToPoint(e) { + return e.distanceTo(this.center) - this.radius; + } + intersectsSphere(e) { + const t = this.radius + e.radius; + return e.center.distanceToSquared(this.center) <= t * t; + } + intersectsBox(e) { + return e.intersectsSphere(this); + } + intersectsPlane(e) { + return Math.abs(e.distanceToPoint(this.center)) <= this.radius; + } + clampPoint(e, t) { + const n = this.center.distanceToSquared(e); + return t.copy(e), n > this.radius * this.radius && (t.sub(this.center).normalize(), t.multiplyScalar(this.radius).add(this.center)), t; + } + getBoundingBox(e) { + return this.isEmpty() ? (e.makeEmpty(), e) : (e.set(this.center, this.center), e.expandByScalar(this.radius), e); + } + applyMatrix4(e) { + return this.center.applyMatrix4(e), this.radius = this.radius * e.getMaxScaleOnAxis(), this; + } + translate(e) { + return this.center.add(e), this; + } + expandByPoint(e) { + if (this.isEmpty()) + return this.center.copy(e), this.radius = 0, this; + ci.subVectors(e, this.center); + const t = ci.lengthSq(); + if (t > this.radius * this.radius) { + const n = Math.sqrt(t), r = (n - this.radius) * 0.5; + this.center.addScaledVector(ci, r / n), this.radius += r; + } + return this; + } + union(e) { + return e.isEmpty() ? this : this.isEmpty() ? (this.copy(e), this) : (this.center.equals(e.center) === !0 ? this.radius = Math.max(this.radius, e.radius) : (Ar.subVectors(e.center, this.center).setLength(e.radius), this.expandByPoint(ci.copy(e.center).add(Ar)), this.expandByPoint(ci.copy(e.center).sub(Ar))), this); + } + equals(e) { + return e.center.equals(this.center) && e.radius === this.radius; + } + clone() { + return new this.constructor().copy(this); + } +} +const Wt = /* @__PURE__ */ new P(), wr = /* @__PURE__ */ new P(), Ri = /* @__PURE__ */ new P(), en = /* @__PURE__ */ new P(), Rr = /* @__PURE__ */ new P(), Ci = /* @__PURE__ */ new P(), Cr = /* @__PURE__ */ new P(); +class To { + constructor(e = new P(), t = new P(0, 0, -1)) { + this.origin = e, this.direction = t; + } + set(e, t) { + return this.origin.copy(e), this.direction.copy(t), this; + } + copy(e) { + return this.origin.copy(e.origin), this.direction.copy(e.direction), this; + } + at(e, t) { + return t.copy(this.origin).addScaledVector(this.direction, e); + } + lookAt(e) { + return this.direction.copy(e).sub(this.origin).normalize(), this; + } + recast(e) { + return this.origin.copy(this.at(e, Wt)), this; + } + closestPointToPoint(e, t) { + t.subVectors(e, this.origin); + const n = t.dot(this.direction); + return n < 0 ? t.copy(this.origin) : t.copy(this.origin).addScaledVector(this.direction, n); + } + distanceToPoint(e) { + return Math.sqrt(this.distanceSqToPoint(e)); + } + distanceSqToPoint(e) { + const t = Wt.subVectors(e, this.origin).dot(this.direction); + return t < 0 ? this.origin.distanceToSquared(e) : (Wt.copy(this.origin).addScaledVector(this.direction, t), Wt.distanceToSquared(e)); + } + distanceSqToSegment(e, t, n, r) { + wr.copy(e).add(t).multiplyScalar(0.5), Ri.copy(t).sub(e).normalize(), en.copy(this.origin).sub(wr); + const s = e.distanceTo(t) * 0.5, o = -this.direction.dot(Ri), a = en.dot(this.direction), l = -en.dot(Ri), c = en.lengthSq(), h = Math.abs(1 - o * o); + let d, p, m, g; + if (h > 0) + if (d = o * l - a, p = o * a - l, g = s * h, d >= 0) + if (p >= -g) + if (p <= g) { + const v = 1 / h; + d *= v, p *= v, m = d * (d + o * p + 2 * a) + p * (o * d + p + 2 * l) + c; + } else + p = s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + else + p = -s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + else + p <= -g ? (d = Math.max(0, -(-o * s + a)), p = d > 0 ? -s : Math.min(Math.max(-s, -l), s), m = -d * d + p * (p + 2 * l) + c) : p <= g ? (d = 0, p = Math.min(Math.max(-s, -l), s), m = p * (p + 2 * l) + c) : (d = Math.max(0, -(o * s + a)), p = d > 0 ? s : Math.min(Math.max(-s, -l), s), m = -d * d + p * (p + 2 * l) + c); + else + p = o > 0 ? -s : s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + return n && n.copy(this.origin).addScaledVector(this.direction, d), r && r.copy(wr).addScaledVector(Ri, p), m; + } + intersectSphere(e, t) { + Wt.subVectors(e.center, this.origin); + const n = Wt.dot(this.direction), r = Wt.dot(Wt) - n * n, s = e.radius * e.radius; + if (r > s) return null; + const o = Math.sqrt(s - r), a = n - o, l = n + o; + return l < 0 ? null : a < 0 ? this.at(l, t) : this.at(a, t); + } + intersectsSphere(e) { + return this.distanceSqToPoint(e.center) <= e.radius * e.radius; + } + distanceToPlane(e) { + const t = e.normal.dot(this.direction); + if (t === 0) + return e.distanceToPoint(this.origin) === 0 ? 0 : null; + const n = -(this.origin.dot(e.normal) + e.constant) / t; + return n >= 0 ? n : null; + } + intersectPlane(e, t) { + const n = this.distanceToPlane(e); + return n === null ? null : this.at(n, t); + } + intersectsPlane(e) { + const t = e.distanceToPoint(this.origin); + return t === 0 || e.normal.dot(this.direction) * t < 0; + } + intersectBox(e, t) { + let n, r, s, o, a, l; + const c = 1 / this.direction.x, h = 1 / this.direction.y, d = 1 / this.direction.z, p = this.origin; + return c >= 0 ? (n = (e.min.x - p.x) * c, r = (e.max.x - p.x) * c) : (n = (e.max.x - p.x) * c, r = (e.min.x - p.x) * c), h >= 0 ? (s = (e.min.y - p.y) * h, o = (e.max.y - p.y) * h) : (s = (e.max.y - p.y) * h, o = (e.min.y - p.y) * h), n > o || s > r || ((s > n || isNaN(n)) && (n = s), (o < r || isNaN(r)) && (r = o), d >= 0 ? (a = (e.min.z - p.z) * d, l = (e.max.z - p.z) * d) : (a = (e.max.z - p.z) * d, l = (e.min.z - p.z) * d), n > l || a > r) || ((a > n || n !== n) && (n = a), (l < r || r !== r) && (r = l), r < 0) ? null : this.at(n >= 0 ? n : r, t); + } + intersectsBox(e) { + return this.intersectBox(e, Wt) !== null; + } + intersectTriangle(e, t, n, r, s) { + Rr.subVectors(t, e), Ci.subVectors(n, e), Cr.crossVectors(Rr, Ci); + let o = this.direction.dot(Cr), a; + if (o > 0) { + if (r) return null; + a = 1; + } else if (o < 0) + a = -1, o = -o; + else + return null; + en.subVectors(this.origin, e); + const l = a * this.direction.dot(Ci.crossVectors(en, Ci)); + if (l < 0) + return null; + const c = a * this.direction.dot(Rr.cross(en)); + if (c < 0 || l + c > o) + return null; + const h = -a * en.dot(Cr); + return h < 0 ? null : this.at(h / o, s); + } + applyMatrix4(e) { + return this.origin.applyMatrix4(e), this.direction.transformDirection(e), this; + } + equals(e) { + return e.origin.equals(this.origin) && e.direction.equals(this.direction); + } + clone() { + return new this.constructor().copy(this); + } +} +class Qe { + constructor(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f) { + Qe.prototype.isMatrix4 = !0, this.elements = [ + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ], e !== void 0 && this.set(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f); + } + set(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f) { + const u = this.elements; + return u[0] = e, u[4] = t, u[8] = n, u[12] = r, u[1] = s, u[5] = o, u[9] = a, u[13] = l, u[2] = c, u[6] = h, u[10] = d, u[14] = p, u[3] = m, u[7] = g, u[11] = v, u[15] = f, this; + } + identity() { + return this.set( + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + clone() { + return new Qe().fromArray(this.elements); + } + copy(e) { + const t = this.elements, n = e.elements; + return t[0] = n[0], t[1] = n[1], t[2] = n[2], t[3] = n[3], t[4] = n[4], t[5] = n[5], t[6] = n[6], t[7] = n[7], t[8] = n[8], t[9] = n[9], t[10] = n[10], t[11] = n[11], t[12] = n[12], t[13] = n[13], t[14] = n[14], t[15] = n[15], this; + } + copyPosition(e) { + const t = this.elements, n = e.elements; + return t[12] = n[12], t[13] = n[13], t[14] = n[14], this; + } + setFromMatrix3(e) { + const t = e.elements; + return this.set( + t[0], + t[3], + t[6], + 0, + t[1], + t[4], + t[7], + 0, + t[2], + t[5], + t[8], + 0, + 0, + 0, + 0, + 1 + ), this; + } + extractBasis(e, t, n) { + return e.setFromMatrixColumn(this, 0), t.setFromMatrixColumn(this, 1), n.setFromMatrixColumn(this, 2), this; + } + makeBasis(e, t, n) { + return this.set( + e.x, + t.x, + n.x, + 0, + e.y, + t.y, + n.y, + 0, + e.z, + t.z, + n.z, + 0, + 0, + 0, + 0, + 1 + ), this; + } + extractRotation(e) { + const t = this.elements, n = e.elements, r = 1 / On.setFromMatrixColumn(e, 0).length(), s = 1 / On.setFromMatrixColumn(e, 1).length(), o = 1 / On.setFromMatrixColumn(e, 2).length(); + return t[0] = n[0] * r, t[1] = n[1] * r, t[2] = n[2] * r, t[3] = 0, t[4] = n[4] * s, t[5] = n[5] * s, t[6] = n[6] * s, t[7] = 0, t[8] = n[8] * o, t[9] = n[9] * o, t[10] = n[10] * o, t[11] = 0, t[12] = 0, t[13] = 0, t[14] = 0, t[15] = 1, this; + } + makeRotationFromEuler(e) { + const t = this.elements, n = e.x, r = e.y, s = e.z, o = Math.cos(n), a = Math.sin(n), l = Math.cos(r), c = Math.sin(r), h = Math.cos(s), d = Math.sin(s); + if (e.order === "XYZ") { + const p = o * h, m = o * d, g = a * h, v = a * d; + t[0] = l * h, t[4] = -l * d, t[8] = c, t[1] = m + g * c, t[5] = p - v * c, t[9] = -a * l, t[2] = v - p * c, t[6] = g + m * c, t[10] = o * l; + } else if (e.order === "YXZ") { + const p = l * h, m = l * d, g = c * h, v = c * d; + t[0] = p + v * a, t[4] = g * a - m, t[8] = o * c, t[1] = o * d, t[5] = o * h, t[9] = -a, t[2] = m * a - g, t[6] = v + p * a, t[10] = o * l; + } else if (e.order === "ZXY") { + const p = l * h, m = l * d, g = c * h, v = c * d; + t[0] = p - v * a, t[4] = -o * d, t[8] = g + m * a, t[1] = m + g * a, t[5] = o * h, t[9] = v - p * a, t[2] = -o * c, t[6] = a, t[10] = o * l; + } else if (e.order === "ZYX") { + const p = o * h, m = o * d, g = a * h, v = a * d; + t[0] = l * h, t[4] = g * c - m, t[8] = p * c + v, t[1] = l * d, t[5] = v * c + p, t[9] = m * c - g, t[2] = -c, t[6] = a * l, t[10] = o * l; + } else if (e.order === "YZX") { + const p = o * l, m = o * c, g = a * l, v = a * c; + t[0] = l * h, t[4] = v - p * d, t[8] = g * d + m, t[1] = d, t[5] = o * h, t[9] = -a * h, t[2] = -c * h, t[6] = m * d + g, t[10] = p - v * d; + } else if (e.order === "XZY") { + const p = o * l, m = o * c, g = a * l, v = a * c; + t[0] = l * h, t[4] = -d, t[8] = c * h, t[1] = p * d + v, t[5] = o * h, t[9] = m * d - g, t[2] = g * d - m, t[6] = a * h, t[10] = v * d + p; + } + return t[3] = 0, t[7] = 0, t[11] = 0, t[12] = 0, t[13] = 0, t[14] = 0, t[15] = 1, this; + } + makeRotationFromQuaternion(e) { + return this.compose(ec, e, tc); + } + lookAt(e, t, n) { + const r = this.elements; + return Et.subVectors(e, t), Et.lengthSq() === 0 && (Et.z = 1), Et.normalize(), tn.crossVectors(n, Et), tn.lengthSq() === 0 && (Math.abs(n.z) === 1 ? Et.x += 1e-4 : Et.z += 1e-4, Et.normalize(), tn.crossVectors(n, Et)), tn.normalize(), Li.crossVectors(Et, tn), r[0] = tn.x, r[4] = Li.x, r[8] = Et.x, r[1] = tn.y, r[5] = Li.y, r[9] = Et.y, r[2] = tn.z, r[6] = Li.z, r[10] = Et.z, this; + } + multiply(e) { + return this.multiplyMatrices(this, e); + } + premultiply(e) { + return this.multiplyMatrices(e, this); + } + multiplyMatrices(e, t) { + const n = e.elements, r = t.elements, s = this.elements, o = n[0], a = n[4], l = n[8], c = n[12], h = n[1], d = n[5], p = n[9], m = n[13], g = n[2], v = n[6], f = n[10], u = n[14], b = n[3], S = n[7], R = n[11], D = n[15], C = r[0], A = r[4], W = r[8], x = r[12], y = r[1], z = r[5], Z = r[9], re = r[13], L = r[2], F = r[6], V = r[10], Y = r[14], X = r[3], k = r[7], q = r[11], Q = r[15]; + return s[0] = o * C + a * y + l * L + c * X, s[4] = o * A + a * z + l * F + c * k, s[8] = o * W + a * Z + l * V + c * q, s[12] = o * x + a * re + l * Y + c * Q, s[1] = h * C + d * y + p * L + m * X, s[5] = h * A + d * z + p * F + m * k, s[9] = h * W + d * Z + p * V + m * q, s[13] = h * x + d * re + p * Y + m * Q, s[2] = g * C + v * y + f * L + u * X, s[6] = g * A + v * z + f * F + u * k, s[10] = g * W + v * Z + f * V + u * q, s[14] = g * x + v * re + f * Y + u * Q, s[3] = b * C + S * y + R * L + D * X, s[7] = b * A + S * z + R * F + D * k, s[11] = b * W + S * Z + R * V + D * q, s[15] = b * x + S * re + R * Y + D * Q, this; + } + multiplyScalar(e) { + const t = this.elements; + return t[0] *= e, t[4] *= e, t[8] *= e, t[12] *= e, t[1] *= e, t[5] *= e, t[9] *= e, t[13] *= e, t[2] *= e, t[6] *= e, t[10] *= e, t[14] *= e, t[3] *= e, t[7] *= e, t[11] *= e, t[15] *= e, this; + } + determinant() { + const e = this.elements, t = e[0], n = e[4], r = e[8], s = e[12], o = e[1], a = e[5], l = e[9], c = e[13], h = e[2], d = e[6], p = e[10], m = e[14], g = e[3], v = e[7], f = e[11], u = e[15]; + return g * (+s * l * d - r * c * d - s * a * p + n * c * p + r * a * m - n * l * m) + v * (+t * l * m - t * c * p + s * o * p - r * o * m + r * c * h - s * l * h) + f * (+t * c * d - t * a * m - s * o * d + n * o * m + s * a * h - n * c * h) + u * (-r * a * h - t * l * d + t * a * p + r * o * d - n * o * p + n * l * h); + } + transpose() { + const e = this.elements; + let t; + return t = e[1], e[1] = e[4], e[4] = t, t = e[2], e[2] = e[8], e[8] = t, t = e[6], e[6] = e[9], e[9] = t, t = e[3], e[3] = e[12], e[12] = t, t = e[7], e[7] = e[13], e[13] = t, t = e[11], e[11] = e[14], e[14] = t, this; + } + setPosition(e, t, n) { + const r = this.elements; + return e.isVector3 ? (r[12] = e.x, r[13] = e.y, r[14] = e.z) : (r[12] = e, r[13] = t, r[14] = n), this; + } + invert() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8], d = e[9], p = e[10], m = e[11], g = e[12], v = e[13], f = e[14], u = e[15], b = d * f * c - v * p * c + v * l * m - a * f * m - d * l * u + a * p * u, S = g * p * c - h * f * c - g * l * m + o * f * m + h * l * u - o * p * u, R = h * v * c - g * d * c + g * a * m - o * v * m - h * a * u + o * d * u, D = g * d * l - h * v * l - g * a * p + o * v * p + h * a * f - o * d * f, C = t * b + n * S + r * R + s * D; + if (C === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + const A = 1 / C; + return e[0] = b * A, e[1] = (v * p * s - d * f * s - v * r * m + n * f * m + d * r * u - n * p * u) * A, e[2] = (a * f * s - v * l * s + v * r * c - n * f * c - a * r * u + n * l * u) * A, e[3] = (d * l * s - a * p * s - d * r * c + n * p * c + a * r * m - n * l * m) * A, e[4] = S * A, e[5] = (h * f * s - g * p * s + g * r * m - t * f * m - h * r * u + t * p * u) * A, e[6] = (g * l * s - o * f * s - g * r * c + t * f * c + o * r * u - t * l * u) * A, e[7] = (o * p * s - h * l * s + h * r * c - t * p * c - o * r * m + t * l * m) * A, e[8] = R * A, e[9] = (g * d * s - h * v * s - g * n * m + t * v * m + h * n * u - t * d * u) * A, e[10] = (o * v * s - g * a * s + g * n * c - t * v * c - o * n * u + t * a * u) * A, e[11] = (h * a * s - o * d * s - h * n * c + t * d * c + o * n * m - t * a * m) * A, e[12] = D * A, e[13] = (h * v * r - g * d * r + g * n * p - t * v * p - h * n * f + t * d * f) * A, e[14] = (g * a * r - o * v * r - g * n * l + t * v * l + o * n * f - t * a * f) * A, e[15] = (o * d * r - h * a * r + h * n * l - t * d * l - o * n * p + t * a * p) * A, this; + } + scale(e) { + const t = this.elements, n = e.x, r = e.y, s = e.z; + return t[0] *= n, t[4] *= r, t[8] *= s, t[1] *= n, t[5] *= r, t[9] *= s, t[2] *= n, t[6] *= r, t[10] *= s, t[3] *= n, t[7] *= r, t[11] *= s, this; + } + getMaxScaleOnAxis() { + const e = this.elements, t = e[0] * e[0] + e[1] * e[1] + e[2] * e[2], n = e[4] * e[4] + e[5] * e[5] + e[6] * e[6], r = e[8] * e[8] + e[9] * e[9] + e[10] * e[10]; + return Math.sqrt(Math.max(t, n, r)); + } + makeTranslation(e, t, n) { + return e.isVector3 ? this.set( + 1, + 0, + 0, + e.x, + 0, + 1, + 0, + e.y, + 0, + 0, + 1, + e.z, + 0, + 0, + 0, + 1 + ) : this.set( + 1, + 0, + 0, + e, + 0, + 1, + 0, + t, + 0, + 0, + 1, + n, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationX(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + 1, + 0, + 0, + 0, + 0, + t, + -n, + 0, + 0, + n, + t, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationY(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + 0, + n, + 0, + 0, + 1, + 0, + 0, + -n, + 0, + t, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationZ(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + -n, + 0, + 0, + n, + t, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationAxis(e, t) { + const n = Math.cos(t), r = Math.sin(t), s = 1 - n, o = e.x, a = e.y, l = e.z, c = s * o, h = s * a; + return this.set( + c * o + n, + c * a - r * l, + c * l + r * a, + 0, + c * a + r * l, + h * a + n, + h * l - r * o, + 0, + c * l - r * a, + h * l + r * o, + s * l * l + n, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeScale(e, t, n) { + return this.set( + e, + 0, + 0, + 0, + 0, + t, + 0, + 0, + 0, + 0, + n, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeShear(e, t, n, r, s, o) { + return this.set( + 1, + n, + s, + 0, + e, + 1, + o, + 0, + t, + r, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + compose(e, t, n) { + const r = this.elements, s = t._x, o = t._y, a = t._z, l = t._w, c = s + s, h = o + o, d = a + a, p = s * c, m = s * h, g = s * d, v = o * h, f = o * d, u = a * d, b = l * c, S = l * h, R = l * d, D = n.x, C = n.y, A = n.z; + return r[0] = (1 - (v + u)) * D, r[1] = (m + R) * D, r[2] = (g - S) * D, r[3] = 0, r[4] = (m - R) * C, r[5] = (1 - (p + u)) * C, r[6] = (f + b) * C, r[7] = 0, r[8] = (g + S) * A, r[9] = (f - b) * A, r[10] = (1 - (p + v)) * A, r[11] = 0, r[12] = e.x, r[13] = e.y, r[14] = e.z, r[15] = 1, this; + } + decompose(e, t, n) { + const r = this.elements; + let s = On.set(r[0], r[1], r[2]).length(); + const o = On.set(r[4], r[5], r[6]).length(), a = On.set(r[8], r[9], r[10]).length(); + this.determinant() < 0 && (s = -s), e.x = r[12], e.y = r[13], e.z = r[14], Pt.copy(this); + const c = 1 / s, h = 1 / o, d = 1 / a; + return Pt.elements[0] *= c, Pt.elements[1] *= c, Pt.elements[2] *= c, Pt.elements[4] *= h, Pt.elements[5] *= h, Pt.elements[6] *= h, Pt.elements[8] *= d, Pt.elements[9] *= d, Pt.elements[10] *= d, t.setFromRotationMatrix(Pt), n.x = s, n.y = o, n.z = a, this; + } + makePerspective(e, t, n, r, s, o, a = Zt) { + const l = this.elements, c = 2 * s / (t - e), h = 2 * s / (n - r), d = (t + e) / (t - e), p = (n + r) / (n - r); + let m, g; + if (a === Zt) + m = -(o + s) / (o - s), g = -2 * o * s / (o - s); + else if (a === tr) + m = -o / (o - s), g = -o * s / (o - s); + else + throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: " + a); + return l[0] = c, l[4] = 0, l[8] = d, l[12] = 0, l[1] = 0, l[5] = h, l[9] = p, l[13] = 0, l[2] = 0, l[6] = 0, l[10] = m, l[14] = g, l[3] = 0, l[7] = 0, l[11] = -1, l[15] = 0, this; + } + makeOrthographic(e, t, n, r, s, o, a = Zt) { + const l = this.elements, c = 1 / (t - e), h = 1 / (n - r), d = 1 / (o - s), p = (t + e) * c, m = (n + r) * h; + let g, v; + if (a === Zt) + g = (o + s) * d, v = -2 * d; + else if (a === tr) + g = s * d, v = -1 * d; + else + throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: " + a); + return l[0] = 2 * c, l[4] = 0, l[8] = 0, l[12] = -p, l[1] = 0, l[5] = 2 * h, l[9] = 0, l[13] = -m, l[2] = 0, l[6] = 0, l[10] = v, l[14] = -g, l[3] = 0, l[7] = 0, l[11] = 0, l[15] = 1, this; + } + equals(e) { + const t = this.elements, n = e.elements; + for (let r = 0; r < 16; r++) + if (t[r] !== n[r]) return !1; + return !0; + } + fromArray(e, t = 0) { + for (let n = 0; n < 16; n++) + this.elements[n] = e[n + t]; + return this; + } + toArray(e = [], t = 0) { + const n = this.elements; + return e[t] = n[0], e[t + 1] = n[1], e[t + 2] = n[2], e[t + 3] = n[3], e[t + 4] = n[4], e[t + 5] = n[5], e[t + 6] = n[6], e[t + 7] = n[7], e[t + 8] = n[8], e[t + 9] = n[9], e[t + 10] = n[10], e[t + 11] = n[11], e[t + 12] = n[12], e[t + 13] = n[13], e[t + 14] = n[14], e[t + 15] = n[15], e; + } +} +const On = /* @__PURE__ */ new P(), Pt = /* @__PURE__ */ new Qe(), ec = /* @__PURE__ */ new P(0, 0, 0), tc = /* @__PURE__ */ new P(1, 1, 1), tn = /* @__PURE__ */ new P(), Li = /* @__PURE__ */ new P(), Et = /* @__PURE__ */ new P(), oa = /* @__PURE__ */ new Qe(), la = /* @__PURE__ */ new An(); +class ar { + constructor(e = 0, t = 0, n = 0, r = ar.DEFAULT_ORDER) { + this.isEuler = !0, this._x = e, this._y = t, this._z = n, this._order = r; + } + get x() { + return this._x; + } + set x(e) { + this._x = e, this._onChangeCallback(); + } + get y() { + return this._y; + } + set y(e) { + this._y = e, this._onChangeCallback(); + } + get z() { + return this._z; + } + set z(e) { + this._z = e, this._onChangeCallback(); + } + get order() { + return this._order; + } + set order(e) { + this._order = e, this._onChangeCallback(); + } + set(e, t, n, r = this._order) { + return this._x = e, this._y = t, this._z = n, this._order = r, this._onChangeCallback(), this; + } + clone() { + return new this.constructor(this._x, this._y, this._z, this._order); + } + copy(e) { + return this._x = e._x, this._y = e._y, this._z = e._z, this._order = e._order, this._onChangeCallback(), this; + } + setFromRotationMatrix(e, t = this._order, n = !0) { + const r = e.elements, s = r[0], o = r[4], a = r[8], l = r[1], c = r[5], h = r[9], d = r[2], p = r[6], m = r[10]; + switch (t) { + case "XYZ": + this._y = Math.asin(vt(a, -1, 1)), Math.abs(a) < 0.9999999 ? (this._x = Math.atan2(-h, m), this._z = Math.atan2(-o, s)) : (this._x = Math.atan2(p, c), this._z = 0); + break; + case "YXZ": + this._x = Math.asin(-vt(h, -1, 1)), Math.abs(h) < 0.9999999 ? (this._y = Math.atan2(a, m), this._z = Math.atan2(l, c)) : (this._y = Math.atan2(-d, s), this._z = 0); + break; + case "ZXY": + this._x = Math.asin(vt(p, -1, 1)), Math.abs(p) < 0.9999999 ? (this._y = Math.atan2(-d, m), this._z = Math.atan2(-o, c)) : (this._y = 0, this._z = Math.atan2(l, s)); + break; + case "ZYX": + this._y = Math.asin(-vt(d, -1, 1)), Math.abs(d) < 0.9999999 ? (this._x = Math.atan2(p, m), this._z = Math.atan2(l, s)) : (this._x = 0, this._z = Math.atan2(-o, c)); + break; + case "YZX": + this._z = Math.asin(vt(l, -1, 1)), Math.abs(l) < 0.9999999 ? (this._x = Math.atan2(-h, c), this._y = Math.atan2(-d, s)) : (this._x = 0, this._y = Math.atan2(a, m)); + break; + case "XZY": + this._z = Math.asin(-vt(o, -1, 1)), Math.abs(o) < 0.9999999 ? (this._x = Math.atan2(p, c), this._y = Math.atan2(a, s)) : (this._x = Math.atan2(-h, m), this._y = 0); + break; + default: + console.warn("THREE.Euler: .setFromRotationMatrix() encountered an unknown order: " + t); + } + return this._order = t, n === !0 && this._onChangeCallback(), this; + } + setFromQuaternion(e, t, n) { + return oa.makeRotationFromQuaternion(e), this.setFromRotationMatrix(oa, t, n); + } + setFromVector3(e, t = this._order) { + return this.set(e.x, e.y, e.z, t); + } + reorder(e) { + return la.setFromEuler(this), this.setFromQuaternion(la, e); + } + equals(e) { + return e._x === this._x && e._y === this._y && e._z === this._z && e._order === this._order; + } + fromArray(e) { + return this._x = e[0], this._y = e[1], this._z = e[2], e[3] !== void 0 && (this._order = e[3]), this._onChangeCallback(), this; + } + toArray(e = [], t = 0) { + return e[t] = this._x, e[t + 1] = this._y, e[t + 2] = this._z, e[t + 3] = this._order, e; + } + _onChange(e) { + return this._onChangeCallback = e, this; + } + _onChangeCallback() { + } + *[Symbol.iterator]() { + yield this._x, yield this._y, yield this._z, yield this._order; + } +} +ar.DEFAULT_ORDER = "XYZ"; +class bo { + constructor() { + this.mask = 1; + } + set(e) { + this.mask = (1 << e | 0) >>> 0; + } + enable(e) { + this.mask |= 1 << e | 0; + } + enableAll() { + this.mask = -1; + } + toggle(e) { + this.mask ^= 1 << e | 0; + } + disable(e) { + this.mask &= ~(1 << e | 0); + } + disableAll() { + this.mask = 0; + } + test(e) { + return (this.mask & e.mask) !== 0; + } + isEnabled(e) { + return (this.mask & (1 << e | 0)) !== 0; + } +} +let nc = 0; +const ca = /* @__PURE__ */ new P(), Bn = /* @__PURE__ */ new An(), Xt = /* @__PURE__ */ new Qe(), Pi = /* @__PURE__ */ new P(), ui = /* @__PURE__ */ new P(), ic = /* @__PURE__ */ new P(), rc = /* @__PURE__ */ new An(), ua = /* @__PURE__ */ new P(1, 0, 0), ha = /* @__PURE__ */ new P(0, 1, 0), da = /* @__PURE__ */ new P(0, 0, 1), sc = { type: "added" }, ac = { type: "removed" }; +class dt extends Rn { + constructor() { + super(), this.isObject3D = !0, Object.defineProperty(this, "id", { value: nc++ }), this.uuid = vi(), this.name = "", this.type = "Object3D", this.parent = null, this.children = [], this.up = dt.DEFAULT_UP.clone(); + const e = new P(), t = new ar(), n = new An(), r = new P(1, 1, 1); + function s() { + n.setFromEuler(t, !1); + } + function o() { + t.setFromQuaternion(n, void 0, !1); + } + t._onChange(s), n._onChange(o), Object.defineProperties(this, { + position: { + configurable: !0, + enumerable: !0, + value: e + }, + rotation: { + configurable: !0, + enumerable: !0, + value: t + }, + quaternion: { + configurable: !0, + enumerable: !0, + value: n + }, + scale: { + configurable: !0, + enumerable: !0, + value: r + }, + modelViewMatrix: { + value: new Qe() + }, + normalMatrix: { + value: new Ve() + } + }), this.matrix = new Qe(), this.matrixWorld = new Qe(), this.matrixAutoUpdate = dt.DEFAULT_MATRIX_AUTO_UPDATE, this.matrixWorldAutoUpdate = dt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE, this.matrixWorldNeedsUpdate = !1, this.layers = new bo(), this.visible = !0, this.castShadow = !1, this.receiveShadow = !1, this.frustumCulled = !0, this.renderOrder = 0, this.animations = [], this.userData = {}; + } + onBeforeShadow() { + } + onAfterShadow() { + } + onBeforeRender() { + } + onAfterRender() { + } + applyMatrix4(e) { + this.matrixAutoUpdate && this.updateMatrix(), this.matrix.premultiply(e), this.matrix.decompose(this.position, this.quaternion, this.scale); + } + applyQuaternion(e) { + return this.quaternion.premultiply(e), this; + } + setRotationFromAxisAngle(e, t) { + this.quaternion.setFromAxisAngle(e, t); + } + setRotationFromEuler(e) { + this.quaternion.setFromEuler(e, !0); + } + setRotationFromMatrix(e) { + this.quaternion.setFromRotationMatrix(e); + } + setRotationFromQuaternion(e) { + this.quaternion.copy(e); + } + rotateOnAxis(e, t) { + return Bn.setFromAxisAngle(e, t), this.quaternion.multiply(Bn), this; + } + rotateOnWorldAxis(e, t) { + return Bn.setFromAxisAngle(e, t), this.quaternion.premultiply(Bn), this; + } + rotateX(e) { + return this.rotateOnAxis(ua, e); + } + rotateY(e) { + return this.rotateOnAxis(ha, e); + } + rotateZ(e) { + return this.rotateOnAxis(da, e); + } + translateOnAxis(e, t) { + return ca.copy(e).applyQuaternion(this.quaternion), this.position.add(ca.multiplyScalar(t)), this; + } + translateX(e) { + return this.translateOnAxis(ua, e); + } + translateY(e) { + return this.translateOnAxis(ha, e); + } + translateZ(e) { + return this.translateOnAxis(da, e); + } + localToWorld(e) { + return this.updateWorldMatrix(!0, !1), e.applyMatrix4(this.matrixWorld); + } + worldToLocal(e) { + return this.updateWorldMatrix(!0, !1), e.applyMatrix4(Xt.copy(this.matrixWorld).invert()); + } + lookAt(e, t, n) { + e.isVector3 ? Pi.copy(e) : Pi.set(e, t, n); + const r = this.parent; + this.updateWorldMatrix(!0, !1), ui.setFromMatrixPosition(this.matrixWorld), this.isCamera || this.isLight ? Xt.lookAt(ui, Pi, this.up) : Xt.lookAt(Pi, ui, this.up), this.quaternion.setFromRotationMatrix(Xt), r && (Xt.extractRotation(r.matrixWorld), Bn.setFromRotationMatrix(Xt), this.quaternion.premultiply(Bn.invert())); + } + add(e) { + if (arguments.length > 1) { + for (let t = 0; t < arguments.length; t++) + this.add(arguments[t]); + return this; + } + return e === this ? (console.error("THREE.Object3D.add: object can't be added as a child of itself.", e), this) : (e && e.isObject3D ? (e.parent !== null && e.parent.remove(e), e.parent = this, this.children.push(e), e.dispatchEvent(sc)) : console.error("THREE.Object3D.add: object not an instance of THREE.Object3D.", e), this); + } + remove(e) { + if (arguments.length > 1) { + for (let n = 0; n < arguments.length; n++) + this.remove(arguments[n]); + return this; + } + const t = this.children.indexOf(e); + return t !== -1 && (e.parent = null, this.children.splice(t, 1), e.dispatchEvent(ac)), this; + } + removeFromParent() { + const e = this.parent; + return e !== null && e.remove(this), this; + } + clear() { + return this.remove(...this.children); + } + attach(e) { + return this.updateWorldMatrix(!0, !1), Xt.copy(this.matrixWorld).invert(), e.parent !== null && (e.parent.updateWorldMatrix(!0, !1), Xt.multiply(e.parent.matrixWorld)), e.applyMatrix4(Xt), this.add(e), e.updateWorldMatrix(!1, !0), this; + } + getObjectById(e) { + return this.getObjectByProperty("id", e); + } + getObjectByName(e) { + return this.getObjectByProperty("name", e); + } + getObjectByProperty(e, t) { + if (this[e] === t) return this; + for (let n = 0, r = this.children.length; n < r; n++) { + const o = this.children[n].getObjectByProperty(e, t); + if (o !== void 0) + return o; + } + } + getObjectsByProperty(e, t, n = []) { + this[e] === t && n.push(this); + const r = this.children; + for (let s = 0, o = r.length; s < o; s++) + r[s].getObjectsByProperty(e, t, n); + return n; + } + getWorldPosition(e) { + return this.updateWorldMatrix(!0, !1), e.setFromMatrixPosition(this.matrixWorld); + } + getWorldQuaternion(e) { + return this.updateWorldMatrix(!0, !1), this.matrixWorld.decompose(ui, e, ic), e; + } + getWorldScale(e) { + return this.updateWorldMatrix(!0, !1), this.matrixWorld.decompose(ui, rc, e), e; + } + getWorldDirection(e) { + this.updateWorldMatrix(!0, !1); + const t = this.matrixWorld.elements; + return e.set(t[8], t[9], t[10]).normalize(); + } + raycast() { + } + traverse(e) { + e(this); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) + t[n].traverse(e); + } + traverseVisible(e) { + if (this.visible === !1) return; + e(this); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) + t[n].traverseVisible(e); + } + traverseAncestors(e) { + const t = this.parent; + t !== null && (e(t), t.traverseAncestors(e)); + } + updateMatrix() { + this.matrix.compose(this.position, this.quaternion, this.scale), this.matrixWorldNeedsUpdate = !0; + } + updateMatrixWorld(e) { + this.matrixAutoUpdate && this.updateMatrix(), (this.matrixWorldNeedsUpdate || e) && (this.parent === null ? this.matrixWorld.copy(this.matrix) : this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix), this.matrixWorldNeedsUpdate = !1, e = !0); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) { + const s = t[n]; + (s.matrixWorldAutoUpdate === !0 || e === !0) && s.updateMatrixWorld(e); + } + } + updateWorldMatrix(e, t) { + const n = this.parent; + if (e === !0 && n !== null && n.matrixWorldAutoUpdate === !0 && n.updateWorldMatrix(!0, !1), this.matrixAutoUpdate && this.updateMatrix(), this.parent === null ? this.matrixWorld.copy(this.matrix) : this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix), t === !0) { + const r = this.children; + for (let s = 0, o = r.length; s < o; s++) { + const a = r[s]; + a.matrixWorldAutoUpdate === !0 && a.updateWorldMatrix(!1, !0); + } + } + } + toJSON(e) { + const t = e === void 0 || typeof e == "string", n = {}; + t && (e = { + geometries: {}, + materials: {}, + textures: {}, + images: {}, + shapes: {}, + skeletons: {}, + animations: {}, + nodes: {} + }, n.metadata = { + version: 4.6, + type: "Object", + generator: "Object3D.toJSON" + }); + const r = {}; + r.uuid = this.uuid, r.type = this.type, this.name !== "" && (r.name = this.name), this.castShadow === !0 && (r.castShadow = !0), this.receiveShadow === !0 && (r.receiveShadow = !0), this.visible === !1 && (r.visible = !1), this.frustumCulled === !1 && (r.frustumCulled = !1), this.renderOrder !== 0 && (r.renderOrder = this.renderOrder), Object.keys(this.userData).length > 0 && (r.userData = this.userData), r.layers = this.layers.mask, r.matrix = this.matrix.toArray(), r.up = this.up.toArray(), this.matrixAutoUpdate === !1 && (r.matrixAutoUpdate = !1), this.isInstancedMesh && (r.type = "InstancedMesh", r.count = this.count, r.instanceMatrix = this.instanceMatrix.toJSON(), this.instanceColor !== null && (r.instanceColor = this.instanceColor.toJSON())), this.isBatchedMesh && (r.type = "BatchedMesh", r.perObjectFrustumCulled = this.perObjectFrustumCulled, r.sortObjects = this.sortObjects, r.drawRanges = this._drawRanges, r.reservedRanges = this._reservedRanges, r.visibility = this._visibility, r.active = this._active, r.bounds = this._bounds.map((a) => ({ + boxInitialized: a.boxInitialized, + boxMin: a.box.min.toArray(), + boxMax: a.box.max.toArray(), + sphereInitialized: a.sphereInitialized, + sphereRadius: a.sphere.radius, + sphereCenter: a.sphere.center.toArray() + })), r.maxGeometryCount = this._maxGeometryCount, r.maxVertexCount = this._maxVertexCount, r.maxIndexCount = this._maxIndexCount, r.geometryInitialized = this._geometryInitialized, r.geometryCount = this._geometryCount, r.matricesTexture = this._matricesTexture.toJSON(e), this.boundingSphere !== null && (r.boundingSphere = { + center: r.boundingSphere.center.toArray(), + radius: r.boundingSphere.radius + }), this.boundingBox !== null && (r.boundingBox = { + min: r.boundingBox.min.toArray(), + max: r.boundingBox.max.toArray() + })); + function s(a, l) { + return a[l.uuid] === void 0 && (a[l.uuid] = l.toJSON(e)), l.uuid; + } + if (this.isScene) + this.background && (this.background.isColor ? r.background = this.background.toJSON() : this.background.isTexture && (r.background = this.background.toJSON(e).uuid)), this.environment && this.environment.isTexture && this.environment.isRenderTargetTexture !== !0 && (r.environment = this.environment.toJSON(e).uuid); + else if (this.isMesh || this.isLine || this.isPoints) { + r.geometry = s(e.geometries, this.geometry); + const a = this.geometry.parameters; + if (a !== void 0 && a.shapes !== void 0) { + const l = a.shapes; + if (Array.isArray(l)) + for (let c = 0, h = l.length; c < h; c++) { + const d = l[c]; + s(e.shapes, d); + } + else + s(e.shapes, l); + } + } + if (this.isSkinnedMesh && (r.bindMode = this.bindMode, r.bindMatrix = this.bindMatrix.toArray(), this.skeleton !== void 0 && (s(e.skeletons, this.skeleton), r.skeleton = this.skeleton.uuid)), this.material !== void 0) + if (Array.isArray(this.material)) { + const a = []; + for (let l = 0, c = this.material.length; l < c; l++) + a.push(s(e.materials, this.material[l])); + r.material = a; + } else + r.material = s(e.materials, this.material); + if (this.children.length > 0) { + r.children = []; + for (let a = 0; a < this.children.length; a++) + r.children.push(this.children[a].toJSON(e).object); + } + if (this.animations.length > 0) { + r.animations = []; + for (let a = 0; a < this.animations.length; a++) { + const l = this.animations[a]; + r.animations.push(s(e.animations, l)); + } + } + if (t) { + const a = o(e.geometries), l = o(e.materials), c = o(e.textures), h = o(e.images), d = o(e.shapes), p = o(e.skeletons), m = o(e.animations), g = o(e.nodes); + a.length > 0 && (n.geometries = a), l.length > 0 && (n.materials = l), c.length > 0 && (n.textures = c), h.length > 0 && (n.images = h), d.length > 0 && (n.shapes = d), p.length > 0 && (n.skeletons = p), m.length > 0 && (n.animations = m), g.length > 0 && (n.nodes = g); + } + return n.object = r, n; + function o(a) { + const l = []; + for (const c in a) { + const h = a[c]; + delete h.metadata, l.push(h); + } + return l; + } + } + clone(e) { + return new this.constructor().copy(this, e); + } + copy(e, t = !0) { + if (this.name = e.name, this.up.copy(e.up), this.position.copy(e.position), this.rotation.order = e.rotation.order, this.quaternion.copy(e.quaternion), this.scale.copy(e.scale), this.matrix.copy(e.matrix), this.matrixWorld.copy(e.matrixWorld), this.matrixAutoUpdate = e.matrixAutoUpdate, this.matrixWorldAutoUpdate = e.matrixWorldAutoUpdate, this.matrixWorldNeedsUpdate = e.matrixWorldNeedsUpdate, this.layers.mask = e.layers.mask, this.visible = e.visible, this.castShadow = e.castShadow, this.receiveShadow = e.receiveShadow, this.frustumCulled = e.frustumCulled, this.renderOrder = e.renderOrder, this.animations = e.animations.slice(), this.userData = JSON.parse(JSON.stringify(e.userData)), t === !0) + for (let n = 0; n < e.children.length; n++) { + const r = e.children[n]; + this.add(r.clone()); + } + return this; + } +} +dt.DEFAULT_UP = /* @__PURE__ */ new P(0, 1, 0); +dt.DEFAULT_MATRIX_AUTO_UPDATE = !0; +dt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE = !0; +const Dt = /* @__PURE__ */ new P(), qt = /* @__PURE__ */ new P(), Lr = /* @__PURE__ */ new P(), Yt = /* @__PURE__ */ new P(), zn = /* @__PURE__ */ new P(), Gn = /* @__PURE__ */ new P(), fa = /* @__PURE__ */ new P(), Pr = /* @__PURE__ */ new P(), Dr = /* @__PURE__ */ new P(), Ur = /* @__PURE__ */ new P(); +let Di = !1; +class It { + constructor(e = new P(), t = new P(), n = new P()) { + this.a = e, this.b = t, this.c = n; + } + static getNormal(e, t, n, r) { + r.subVectors(n, t), Dt.subVectors(e, t), r.cross(Dt); + const s = r.lengthSq(); + return s > 0 ? r.multiplyScalar(1 / Math.sqrt(s)) : r.set(0, 0, 0); + } + // static/instance method to calculate barycentric coordinates + // based on: http://www.blackpawn.com/texts/pointinpoly/default.html + static getBarycoord(e, t, n, r, s) { + Dt.subVectors(r, t), qt.subVectors(n, t), Lr.subVectors(e, t); + const o = Dt.dot(Dt), a = Dt.dot(qt), l = Dt.dot(Lr), c = qt.dot(qt), h = qt.dot(Lr), d = o * c - a * a; + if (d === 0) + return s.set(0, 0, 0), null; + const p = 1 / d, m = (c * l - a * h) * p, g = (o * h - a * l) * p; + return s.set(1 - m - g, g, m); + } + static containsPoint(e, t, n, r) { + return this.getBarycoord(e, t, n, r, Yt) === null ? !1 : Yt.x >= 0 && Yt.y >= 0 && Yt.x + Yt.y <= 1; + } + static getUV(e, t, n, r, s, o, a, l) { + return Di === !1 && (console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."), Di = !0), this.getInterpolation(e, t, n, r, s, o, a, l); + } + static getInterpolation(e, t, n, r, s, o, a, l) { + return this.getBarycoord(e, t, n, r, Yt) === null ? (l.x = 0, l.y = 0, "z" in l && (l.z = 0), "w" in l && (l.w = 0), null) : (l.setScalar(0), l.addScaledVector(s, Yt.x), l.addScaledVector(o, Yt.y), l.addScaledVector(a, Yt.z), l); + } + static isFrontFacing(e, t, n, r) { + return Dt.subVectors(n, t), qt.subVectors(e, t), Dt.cross(qt).dot(r) < 0; + } + set(e, t, n) { + return this.a.copy(e), this.b.copy(t), this.c.copy(n), this; + } + setFromPointsAndIndices(e, t, n, r) { + return this.a.copy(e[t]), this.b.copy(e[n]), this.c.copy(e[r]), this; + } + setFromAttributeAndIndices(e, t, n, r) { + return this.a.fromBufferAttribute(e, t), this.b.fromBufferAttribute(e, n), this.c.fromBufferAttribute(e, r), this; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.a.copy(e.a), this.b.copy(e.b), this.c.copy(e.c), this; + } + getArea() { + return Dt.subVectors(this.c, this.b), qt.subVectors(this.a, this.b), Dt.cross(qt).length() * 0.5; + } + getMidpoint(e) { + return e.addVectors(this.a, this.b).add(this.c).multiplyScalar(1 / 3); + } + getNormal(e) { + return It.getNormal(this.a, this.b, this.c, e); + } + getPlane(e) { + return e.setFromCoplanarPoints(this.a, this.b, this.c); + } + getBarycoord(e, t) { + return It.getBarycoord(e, this.a, this.b, this.c, t); + } + getUV(e, t, n, r, s) { + return Di === !1 && (console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."), Di = !0), It.getInterpolation(e, this.a, this.b, this.c, t, n, r, s); + } + getInterpolation(e, t, n, r, s) { + return It.getInterpolation(e, this.a, this.b, this.c, t, n, r, s); + } + containsPoint(e) { + return It.containsPoint(e, this.a, this.b, this.c); + } + isFrontFacing(e) { + return It.isFrontFacing(this.a, this.b, this.c, e); + } + intersectsBox(e) { + return e.intersectsTriangle(this); + } + closestPointToPoint(e, t) { + const n = this.a, r = this.b, s = this.c; + let o, a; + zn.subVectors(r, n), Gn.subVectors(s, n), Pr.subVectors(e, n); + const l = zn.dot(Pr), c = Gn.dot(Pr); + if (l <= 0 && c <= 0) + return t.copy(n); + Dr.subVectors(e, r); + const h = zn.dot(Dr), d = Gn.dot(Dr); + if (h >= 0 && d <= h) + return t.copy(r); + const p = l * d - h * c; + if (p <= 0 && l >= 0 && h <= 0) + return o = l / (l - h), t.copy(n).addScaledVector(zn, o); + Ur.subVectors(e, s); + const m = zn.dot(Ur), g = Gn.dot(Ur); + if (g >= 0 && m <= g) + return t.copy(s); + const v = m * c - l * g; + if (v <= 0 && c >= 0 && g <= 0) + return a = c / (c - g), t.copy(n).addScaledVector(Gn, a); + const f = h * g - m * d; + if (f <= 0 && d - h >= 0 && m - g >= 0) + return fa.subVectors(s, r), a = (d - h) / (d - h + (m - g)), t.copy(r).addScaledVector(fa, a); + const u = 1 / (f + v + p); + return o = v * u, a = p * u, t.copy(n).addScaledVector(zn, o).addScaledVector(Gn, a); + } + equals(e) { + return e.a.equals(this.a) && e.b.equals(this.b) && e.c.equals(this.c); + } +} +const Ao = { + aliceblue: 15792383, + antiquewhite: 16444375, + aqua: 65535, + aquamarine: 8388564, + azure: 15794175, + beige: 16119260, + bisque: 16770244, + black: 0, + blanchedalmond: 16772045, + blue: 255, + blueviolet: 9055202, + brown: 10824234, + burlywood: 14596231, + cadetblue: 6266528, + chartreuse: 8388352, + chocolate: 13789470, + coral: 16744272, + cornflowerblue: 6591981, + cornsilk: 16775388, + crimson: 14423100, + cyan: 65535, + darkblue: 139, + darkcyan: 35723, + darkgoldenrod: 12092939, + darkgray: 11119017, + darkgreen: 25600, + darkgrey: 11119017, + darkkhaki: 12433259, + darkmagenta: 9109643, + darkolivegreen: 5597999, + darkorange: 16747520, + darkorchid: 10040012, + darkred: 9109504, + darksalmon: 15308410, + darkseagreen: 9419919, + darkslateblue: 4734347, + darkslategray: 3100495, + darkslategrey: 3100495, + darkturquoise: 52945, + darkviolet: 9699539, + deeppink: 16716947, + deepskyblue: 49151, + dimgray: 6908265, + dimgrey: 6908265, + dodgerblue: 2003199, + firebrick: 11674146, + floralwhite: 16775920, + forestgreen: 2263842, + fuchsia: 16711935, + gainsboro: 14474460, + ghostwhite: 16316671, + gold: 16766720, + goldenrod: 14329120, + gray: 8421504, + green: 32768, + greenyellow: 11403055, + grey: 8421504, + honeydew: 15794160, + hotpink: 16738740, + indianred: 13458524, + indigo: 4915330, + ivory: 16777200, + khaki: 15787660, + lavender: 15132410, + lavenderblush: 16773365, + lawngreen: 8190976, + lemonchiffon: 16775885, + lightblue: 11393254, + lightcoral: 15761536, + lightcyan: 14745599, + lightgoldenrodyellow: 16448210, + lightgray: 13882323, + lightgreen: 9498256, + lightgrey: 13882323, + lightpink: 16758465, + lightsalmon: 16752762, + lightseagreen: 2142890, + lightskyblue: 8900346, + lightslategray: 7833753, + lightslategrey: 7833753, + lightsteelblue: 11584734, + lightyellow: 16777184, + lime: 65280, + limegreen: 3329330, + linen: 16445670, + magenta: 16711935, + maroon: 8388608, + mediumaquamarine: 6737322, + mediumblue: 205, + mediumorchid: 12211667, + mediumpurple: 9662683, + mediumseagreen: 3978097, + mediumslateblue: 8087790, + mediumspringgreen: 64154, + mediumturquoise: 4772300, + mediumvioletred: 13047173, + midnightblue: 1644912, + mintcream: 16121850, + mistyrose: 16770273, + moccasin: 16770229, + navajowhite: 16768685, + navy: 128, + oldlace: 16643558, + olive: 8421376, + olivedrab: 7048739, + orange: 16753920, + orangered: 16729344, + orchid: 14315734, + palegoldenrod: 15657130, + palegreen: 10025880, + paleturquoise: 11529966, + palevioletred: 14381203, + papayawhip: 16773077, + peachpuff: 16767673, + peru: 13468991, + pink: 16761035, + plum: 14524637, + powderblue: 11591910, + purple: 8388736, + rebeccapurple: 6697881, + red: 16711680, + rosybrown: 12357519, + royalblue: 4286945, + saddlebrown: 9127187, + salmon: 16416882, + sandybrown: 16032864, + seagreen: 3050327, + seashell: 16774638, + sienna: 10506797, + silver: 12632256, + skyblue: 8900331, + slateblue: 6970061, + slategray: 7372944, + slategrey: 7372944, + snow: 16775930, + springgreen: 65407, + steelblue: 4620980, + tan: 13808780, + teal: 32896, + thistle: 14204888, + tomato: 16737095, + turquoise: 4251856, + violet: 15631086, + wheat: 16113331, + white: 16777215, + whitesmoke: 16119285, + yellow: 16776960, + yellowgreen: 10145074 +}, nn = { h: 0, s: 0, l: 0 }, Ui = { h: 0, s: 0, l: 0 }; +function Ir(i, e, t) { + return t < 0 && (t += 1), t > 1 && (t -= 1), t < 1 / 6 ? i + (e - i) * 6 * t : t < 1 / 2 ? e : t < 2 / 3 ? i + (e - i) * 6 * (2 / 3 - t) : i; +} +class Xe { + constructor(e, t, n) { + return this.isColor = !0, this.r = 1, this.g = 1, this.b = 1, this.set(e, t, n); + } + set(e, t, n) { + if (t === void 0 && n === void 0) { + const r = e; + r && r.isColor ? this.copy(r) : typeof r == "number" ? this.setHex(r) : typeof r == "string" && this.setStyle(r); + } else + this.setRGB(e, t, n); + return this; + } + setScalar(e) { + return this.r = e, this.g = e, this.b = e, this; + } + setHex(e, t = ht) { + return e = Math.floor(e), this.r = (e >> 16 & 255) / 255, this.g = (e >> 8 & 255) / 255, this.b = (e & 255) / 255, Ke.toWorkingColorSpace(this, t), this; + } + setRGB(e, t, n, r = Ke.workingColorSpace) { + return this.r = e, this.g = t, this.b = n, Ke.toWorkingColorSpace(this, r), this; + } + setHSL(e, t, n, r = Ke.workingColorSpace) { + if (e = Xl(e, 1), t = vt(t, 0, 1), n = vt(n, 0, 1), t === 0) + this.r = this.g = this.b = n; + else { + const s = n <= 0.5 ? n * (1 + t) : n + t - n * t, o = 2 * n - s; + this.r = Ir(o, s, e + 1 / 3), this.g = Ir(o, s, e), this.b = Ir(o, s, e - 1 / 3); + } + return Ke.toWorkingColorSpace(this, r), this; + } + setStyle(e, t = ht) { + function n(s) { + s !== void 0 && parseFloat(s) < 1 && console.warn("THREE.Color: Alpha component of " + e + " will be ignored."); + } + let r; + if (r = /^(\w+)\(([^\)]*)\)/.exec(e)) { + let s; + const o = r[1], a = r[2]; + switch (o) { + case "rgb": + case "rgba": + if (s = /^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setRGB( + Math.min(255, parseInt(s[1], 10)) / 255, + Math.min(255, parseInt(s[2], 10)) / 255, + Math.min(255, parseInt(s[3], 10)) / 255, + t + ); + if (s = /^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setRGB( + Math.min(100, parseInt(s[1], 10)) / 100, + Math.min(100, parseInt(s[2], 10)) / 100, + Math.min(100, parseInt(s[3], 10)) / 100, + t + ); + break; + case "hsl": + case "hsla": + if (s = /^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setHSL( + parseFloat(s[1]) / 360, + parseFloat(s[2]) / 100, + parseFloat(s[3]) / 100, + t + ); + break; + default: + console.warn("THREE.Color: Unknown color model " + e); + } + } else if (r = /^\#([A-Fa-f\d]+)$/.exec(e)) { + const s = r[1], o = s.length; + if (o === 3) + return this.setRGB( + parseInt(s.charAt(0), 16) / 15, + parseInt(s.charAt(1), 16) / 15, + parseInt(s.charAt(2), 16) / 15, + t + ); + if (o === 6) + return this.setHex(parseInt(s, 16), t); + console.warn("THREE.Color: Invalid hex color " + e); + } else if (e && e.length > 0) + return this.setColorName(e, t); + return this; + } + setColorName(e, t = ht) { + const n = Ao[e.toLowerCase()]; + return n !== void 0 ? this.setHex(n, t) : console.warn("THREE.Color: Unknown color " + e), this; + } + clone() { + return new this.constructor(this.r, this.g, this.b); + } + copy(e) { + return this.r = e.r, this.g = e.g, this.b = e.b, this; + } + copySRGBToLinear(e) { + return this.r = Jn(e.r), this.g = Jn(e.g), this.b = Jn(e.b), this; + } + copyLinearToSRGB(e) { + return this.r = Er(e.r), this.g = Er(e.g), this.b = Er(e.b), this; + } + convertSRGBToLinear() { + return this.copySRGBToLinear(this), this; + } + convertLinearToSRGB() { + return this.copyLinearToSRGB(this), this; + } + getHex(e = ht) { + return Ke.fromWorkingColorSpace(mt.copy(this), e), Math.round(vt(mt.r * 255, 0, 255)) * 65536 + Math.round(vt(mt.g * 255, 0, 255)) * 256 + Math.round(vt(mt.b * 255, 0, 255)); + } + getHexString(e = ht) { + return ("000000" + this.getHex(e).toString(16)).slice(-6); + } + getHSL(e, t = Ke.workingColorSpace) { + Ke.fromWorkingColorSpace(mt.copy(this), t); + const n = mt.r, r = mt.g, s = mt.b, o = Math.max(n, r, s), a = Math.min(n, r, s); + let l, c; + const h = (a + o) / 2; + if (a === o) + l = 0, c = 0; + else { + const d = o - a; + switch (c = h <= 0.5 ? d / (o + a) : d / (2 - o - a), o) { + case n: + l = (r - s) / d + (r < s ? 6 : 0); + break; + case r: + l = (s - n) / d + 2; + break; + case s: + l = (n - r) / d + 4; + break; + } + l /= 6; + } + return e.h = l, e.s = c, e.l = h, e; + } + getRGB(e, t = Ke.workingColorSpace) { + return Ke.fromWorkingColorSpace(mt.copy(this), t), e.r = mt.r, e.g = mt.g, e.b = mt.b, e; + } + getStyle(e = ht) { + Ke.fromWorkingColorSpace(mt.copy(this), e); + const t = mt.r, n = mt.g, r = mt.b; + return e !== ht ? `color(${e} ${t.toFixed(3)} ${n.toFixed(3)} ${r.toFixed(3)})` : `rgb(${Math.round(t * 255)},${Math.round(n * 255)},${Math.round(r * 255)})`; + } + offsetHSL(e, t, n) { + return this.getHSL(nn), this.setHSL(nn.h + e, nn.s + t, nn.l + n); + } + add(e) { + return this.r += e.r, this.g += e.g, this.b += e.b, this; + } + addColors(e, t) { + return this.r = e.r + t.r, this.g = e.g + t.g, this.b = e.b + t.b, this; + } + addScalar(e) { + return this.r += e, this.g += e, this.b += e, this; + } + sub(e) { + return this.r = Math.max(0, this.r - e.r), this.g = Math.max(0, this.g - e.g), this.b = Math.max(0, this.b - e.b), this; + } + multiply(e) { + return this.r *= e.r, this.g *= e.g, this.b *= e.b, this; + } + multiplyScalar(e) { + return this.r *= e, this.g *= e, this.b *= e, this; + } + lerp(e, t) { + return this.r += (e.r - this.r) * t, this.g += (e.g - this.g) * t, this.b += (e.b - this.b) * t, this; + } + lerpColors(e, t, n) { + return this.r = e.r + (t.r - e.r) * n, this.g = e.g + (t.g - e.g) * n, this.b = e.b + (t.b - e.b) * n, this; + } + lerpHSL(e, t) { + this.getHSL(nn), e.getHSL(Ui); + const n = Mr(nn.h, Ui.h, t), r = Mr(nn.s, Ui.s, t), s = Mr(nn.l, Ui.l, t); + return this.setHSL(n, r, s), this; + } + setFromVector3(e) { + return this.r = e.x, this.g = e.y, this.b = e.z, this; + } + applyMatrix3(e) { + const t = this.r, n = this.g, r = this.b, s = e.elements; + return this.r = s[0] * t + s[3] * n + s[6] * r, this.g = s[1] * t + s[4] * n + s[7] * r, this.b = s[2] * t + s[5] * n + s[8] * r, this; + } + equals(e) { + return e.r === this.r && e.g === this.g && e.b === this.b; + } + fromArray(e, t = 0) { + return this.r = e[t], this.g = e[t + 1], this.b = e[t + 2], this; + } + toArray(e = [], t = 0) { + return e[t] = this.r, e[t + 1] = this.g, e[t + 2] = this.b, e; + } + fromBufferAttribute(e, t) { + return this.r = e.getX(t), this.g = e.getY(t), this.b = e.getZ(t), this; + } + toJSON() { + return this.getHex(); + } + *[Symbol.iterator]() { + yield this.r, yield this.g, yield this.b; + } +} +const mt = /* @__PURE__ */ new Xe(); +Xe.NAMES = Ao; +let oc = 0; +class Mi extends Rn { + constructor() { + super(), this.isMaterial = !0, Object.defineProperty(this, "id", { value: oc++ }), this.uuid = vi(), this.name = "", this.type = "Material", this.blending = $n, this.side = un, this.vertexColors = !1, this.opacity = 1, this.transparent = !1, this.alphaHash = !1, this.blendSrc = Kr, this.blendDst = Zr, this.blendEquation = Mn, this.blendSrcAlpha = null, this.blendDstAlpha = null, this.blendEquationAlpha = null, this.blendColor = new Xe(0, 0, 0), this.blendAlpha = 0, this.depthFunc = $i, this.depthTest = !0, this.depthWrite = !0, this.stencilWriteMask = 255, this.stencilFunc = Qs, this.stencilRef = 0, this.stencilFuncMask = 255, this.stencilFail = Dn, this.stencilZFail = Dn, this.stencilZPass = Dn, this.stencilWrite = !1, this.clippingPlanes = null, this.clipIntersection = !1, this.clipShadows = !1, this.shadowSide = null, this.colorWrite = !0, this.precision = null, this.polygonOffset = !1, this.polygonOffsetFactor = 0, this.polygonOffsetUnits = 0, this.dithering = !1, this.alphaToCoverage = !1, this.premultipliedAlpha = !1, this.forceSinglePass = !1, this.visible = !0, this.toneMapped = !0, this.userData = {}, this.version = 0, this._alphaTest = 0; + } + get alphaTest() { + return this._alphaTest; + } + set alphaTest(e) { + this._alphaTest > 0 != e > 0 && this.version++, this._alphaTest = e; + } + onBuild() { + } + onBeforeRender() { + } + onBeforeCompile() { + } + customProgramCacheKey() { + return this.onBeforeCompile.toString(); + } + setValues(e) { + if (e !== void 0) + for (const t in e) { + const n = e[t]; + if (n === void 0) { + console.warn(`THREE.Material: parameter '${t}' has value of undefined.`); + continue; + } + const r = this[t]; + if (r === void 0) { + console.warn(`THREE.Material: '${t}' is not a property of THREE.${this.type}.`); + continue; + } + r && r.isColor ? r.set(n) : r && r.isVector3 && n && n.isVector3 ? r.copy(n) : this[t] = n; + } + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + t && (e = { + textures: {}, + images: {} + }); + const n = { + metadata: { + version: 4.6, + type: "Material", + generator: "Material.toJSON" + } + }; + n.uuid = this.uuid, n.type = this.type, this.name !== "" && (n.name = this.name), this.color && this.color.isColor && (n.color = this.color.getHex()), this.roughness !== void 0 && (n.roughness = this.roughness), this.metalness !== void 0 && (n.metalness = this.metalness), this.sheen !== void 0 && (n.sheen = this.sheen), this.sheenColor && this.sheenColor.isColor && (n.sheenColor = this.sheenColor.getHex()), this.sheenRoughness !== void 0 && (n.sheenRoughness = this.sheenRoughness), this.emissive && this.emissive.isColor && (n.emissive = this.emissive.getHex()), this.emissiveIntensity && this.emissiveIntensity !== 1 && (n.emissiveIntensity = this.emissiveIntensity), this.specular && this.specular.isColor && (n.specular = this.specular.getHex()), this.specularIntensity !== void 0 && (n.specularIntensity = this.specularIntensity), this.specularColor && this.specularColor.isColor && (n.specularColor = this.specularColor.getHex()), this.shininess !== void 0 && (n.shininess = this.shininess), this.clearcoat !== void 0 && (n.clearcoat = this.clearcoat), this.clearcoatRoughness !== void 0 && (n.clearcoatRoughness = this.clearcoatRoughness), this.clearcoatMap && this.clearcoatMap.isTexture && (n.clearcoatMap = this.clearcoatMap.toJSON(e).uuid), this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture && (n.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON(e).uuid), this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture && (n.clearcoatNormalMap = this.clearcoatNormalMap.toJSON(e).uuid, n.clearcoatNormalScale = this.clearcoatNormalScale.toArray()), this.iridescence !== void 0 && (n.iridescence = this.iridescence), this.iridescenceIOR !== void 0 && (n.iridescenceIOR = this.iridescenceIOR), this.iridescenceThicknessRange !== void 0 && (n.iridescenceThicknessRange = this.iridescenceThicknessRange), this.iridescenceMap && this.iridescenceMap.isTexture && (n.iridescenceMap = this.iridescenceMap.toJSON(e).uuid), this.iridescenceThicknessMap && this.iridescenceThicknessMap.isTexture && (n.iridescenceThicknessMap = this.iridescenceThicknessMap.toJSON(e).uuid), this.anisotropy !== void 0 && (n.anisotropy = this.anisotropy), this.anisotropyRotation !== void 0 && (n.anisotropyRotation = this.anisotropyRotation), this.anisotropyMap && this.anisotropyMap.isTexture && (n.anisotropyMap = this.anisotropyMap.toJSON(e).uuid), this.map && this.map.isTexture && (n.map = this.map.toJSON(e).uuid), this.matcap && this.matcap.isTexture && (n.matcap = this.matcap.toJSON(e).uuid), this.alphaMap && this.alphaMap.isTexture && (n.alphaMap = this.alphaMap.toJSON(e).uuid), this.lightMap && this.lightMap.isTexture && (n.lightMap = this.lightMap.toJSON(e).uuid, n.lightMapIntensity = this.lightMapIntensity), this.aoMap && this.aoMap.isTexture && (n.aoMap = this.aoMap.toJSON(e).uuid, n.aoMapIntensity = this.aoMapIntensity), this.bumpMap && this.bumpMap.isTexture && (n.bumpMap = this.bumpMap.toJSON(e).uuid, n.bumpScale = this.bumpScale), this.normalMap && this.normalMap.isTexture && (n.normalMap = this.normalMap.toJSON(e).uuid, n.normalMapType = this.normalMapType, n.normalScale = this.normalScale.toArray()), this.displacementMap && this.displacementMap.isTexture && (n.displacementMap = this.displacementMap.toJSON(e).uuid, n.displacementScale = this.displacementScale, n.displacementBias = this.displacementBias), this.roughnessMap && this.roughnessMap.isTexture && (n.roughnessMap = this.roughnessMap.toJSON(e).uuid), this.metalnessMap && this.metalnessMap.isTexture && (n.metalnessMap = this.metalnessMap.toJSON(e).uuid), this.emissiveMap && this.emissiveMap.isTexture && (n.emissiveMap = this.emissiveMap.toJSON(e).uuid), this.specularMap && this.specularMap.isTexture && (n.specularMap = this.specularMap.toJSON(e).uuid), this.specularIntensityMap && this.specularIntensityMap.isTexture && (n.specularIntensityMap = this.specularIntensityMap.toJSON(e).uuid), this.specularColorMap && this.specularColorMap.isTexture && (n.specularColorMap = this.specularColorMap.toJSON(e).uuid), this.envMap && this.envMap.isTexture && (n.envMap = this.envMap.toJSON(e).uuid, this.combine !== void 0 && (n.combine = this.combine)), this.envMapIntensity !== void 0 && (n.envMapIntensity = this.envMapIntensity), this.reflectivity !== void 0 && (n.reflectivity = this.reflectivity), this.refractionRatio !== void 0 && (n.refractionRatio = this.refractionRatio), this.gradientMap && this.gradientMap.isTexture && (n.gradientMap = this.gradientMap.toJSON(e).uuid), this.transmission !== void 0 && (n.transmission = this.transmission), this.transmissionMap && this.transmissionMap.isTexture && (n.transmissionMap = this.transmissionMap.toJSON(e).uuid), this.thickness !== void 0 && (n.thickness = this.thickness), this.thicknessMap && this.thicknessMap.isTexture && (n.thicknessMap = this.thicknessMap.toJSON(e).uuid), this.attenuationDistance !== void 0 && this.attenuationDistance !== 1 / 0 && (n.attenuationDistance = this.attenuationDistance), this.attenuationColor !== void 0 && (n.attenuationColor = this.attenuationColor.getHex()), this.size !== void 0 && (n.size = this.size), this.shadowSide !== null && (n.shadowSide = this.shadowSide), this.sizeAttenuation !== void 0 && (n.sizeAttenuation = this.sizeAttenuation), this.blending !== $n && (n.blending = this.blending), this.side !== un && (n.side = this.side), this.vertexColors === !0 && (n.vertexColors = !0), this.opacity < 1 && (n.opacity = this.opacity), this.transparent === !0 && (n.transparent = !0), this.blendSrc !== Kr && (n.blendSrc = this.blendSrc), this.blendDst !== Zr && (n.blendDst = this.blendDst), this.blendEquation !== Mn && (n.blendEquation = this.blendEquation), this.blendSrcAlpha !== null && (n.blendSrcAlpha = this.blendSrcAlpha), this.blendDstAlpha !== null && (n.blendDstAlpha = this.blendDstAlpha), this.blendEquationAlpha !== null && (n.blendEquationAlpha = this.blendEquationAlpha), this.blendColor && this.blendColor.isColor && (n.blendColor = this.blendColor.getHex()), this.blendAlpha !== 0 && (n.blendAlpha = this.blendAlpha), this.depthFunc !== $i && (n.depthFunc = this.depthFunc), this.depthTest === !1 && (n.depthTest = this.depthTest), this.depthWrite === !1 && (n.depthWrite = this.depthWrite), this.colorWrite === !1 && (n.colorWrite = this.colorWrite), this.stencilWriteMask !== 255 && (n.stencilWriteMask = this.stencilWriteMask), this.stencilFunc !== Qs && (n.stencilFunc = this.stencilFunc), this.stencilRef !== 0 && (n.stencilRef = this.stencilRef), this.stencilFuncMask !== 255 && (n.stencilFuncMask = this.stencilFuncMask), this.stencilFail !== Dn && (n.stencilFail = this.stencilFail), this.stencilZFail !== Dn && (n.stencilZFail = this.stencilZFail), this.stencilZPass !== Dn && (n.stencilZPass = this.stencilZPass), this.stencilWrite === !0 && (n.stencilWrite = this.stencilWrite), this.rotation !== void 0 && this.rotation !== 0 && (n.rotation = this.rotation), this.polygonOffset === !0 && (n.polygonOffset = !0), this.polygonOffsetFactor !== 0 && (n.polygonOffsetFactor = this.polygonOffsetFactor), this.polygonOffsetUnits !== 0 && (n.polygonOffsetUnits = this.polygonOffsetUnits), this.linewidth !== void 0 && this.linewidth !== 1 && (n.linewidth = this.linewidth), this.dashSize !== void 0 && (n.dashSize = this.dashSize), this.gapSize !== void 0 && (n.gapSize = this.gapSize), this.scale !== void 0 && (n.scale = this.scale), this.dithering === !0 && (n.dithering = !0), this.alphaTest > 0 && (n.alphaTest = this.alphaTest), this.alphaHash === !0 && (n.alphaHash = !0), this.alphaToCoverage === !0 && (n.alphaToCoverage = !0), this.premultipliedAlpha === !0 && (n.premultipliedAlpha = !0), this.forceSinglePass === !0 && (n.forceSinglePass = !0), this.wireframe === !0 && (n.wireframe = !0), this.wireframeLinewidth > 1 && (n.wireframeLinewidth = this.wireframeLinewidth), this.wireframeLinecap !== "round" && (n.wireframeLinecap = this.wireframeLinecap), this.wireframeLinejoin !== "round" && (n.wireframeLinejoin = this.wireframeLinejoin), this.flatShading === !0 && (n.flatShading = !0), this.visible === !1 && (n.visible = !1), this.toneMapped === !1 && (n.toneMapped = !1), this.fog === !1 && (n.fog = !1), Object.keys(this.userData).length > 0 && (n.userData = this.userData); + function r(s) { + const o = []; + for (const a in s) { + const l = s[a]; + delete l.metadata, o.push(l); + } + return o; + } + if (t) { + const s = r(e.textures), o = r(e.images); + s.length > 0 && (n.textures = s), o.length > 0 && (n.images = o); + } + return n; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.name = e.name, this.blending = e.blending, this.side = e.side, this.vertexColors = e.vertexColors, this.opacity = e.opacity, this.transparent = e.transparent, this.blendSrc = e.blendSrc, this.blendDst = e.blendDst, this.blendEquation = e.blendEquation, this.blendSrcAlpha = e.blendSrcAlpha, this.blendDstAlpha = e.blendDstAlpha, this.blendEquationAlpha = e.blendEquationAlpha, this.blendColor.copy(e.blendColor), this.blendAlpha = e.blendAlpha, this.depthFunc = e.depthFunc, this.depthTest = e.depthTest, this.depthWrite = e.depthWrite, this.stencilWriteMask = e.stencilWriteMask, this.stencilFunc = e.stencilFunc, this.stencilRef = e.stencilRef, this.stencilFuncMask = e.stencilFuncMask, this.stencilFail = e.stencilFail, this.stencilZFail = e.stencilZFail, this.stencilZPass = e.stencilZPass, this.stencilWrite = e.stencilWrite; + const t = e.clippingPlanes; + let n = null; + if (t !== null) { + const r = t.length; + n = new Array(r); + for (let s = 0; s !== r; ++s) + n[s] = t[s].clone(); + } + return this.clippingPlanes = n, this.clipIntersection = e.clipIntersection, this.clipShadows = e.clipShadows, this.shadowSide = e.shadowSide, this.colorWrite = e.colorWrite, this.precision = e.precision, this.polygonOffset = e.polygonOffset, this.polygonOffsetFactor = e.polygonOffsetFactor, this.polygonOffsetUnits = e.polygonOffsetUnits, this.dithering = e.dithering, this.alphaTest = e.alphaTest, this.alphaHash = e.alphaHash, this.alphaToCoverage = e.alphaToCoverage, this.premultipliedAlpha = e.premultipliedAlpha, this.forceSinglePass = e.forceSinglePass, this.visible = e.visible, this.toneMapped = e.toneMapped, this.userData = JSON.parse(JSON.stringify(e.userData)), this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } + set needsUpdate(e) { + e === !0 && this.version++; + } +} +class ls extends Mi { + constructor(e) { + super(), this.isMeshBasicMaterial = !0, this.type = "MeshBasicMaterial", this.color = new Xe(16777215), this.map = null, this.lightMap = null, this.lightMapIntensity = 1, this.aoMap = null, this.aoMapIntensity = 1, this.specularMap = null, this.alphaMap = null, this.envMap = null, this.combine = oo, this.reflectivity = 1, this.refractionRatio = 0.98, this.wireframe = !1, this.wireframeLinewidth = 1, this.wireframeLinecap = "round", this.wireframeLinejoin = "round", this.fog = !0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.color.copy(e.color), this.map = e.map, this.lightMap = e.lightMap, this.lightMapIntensity = e.lightMapIntensity, this.aoMap = e.aoMap, this.aoMapIntensity = e.aoMapIntensity, this.specularMap = e.specularMap, this.alphaMap = e.alphaMap, this.envMap = e.envMap, this.combine = e.combine, this.reflectivity = e.reflectivity, this.refractionRatio = e.refractionRatio, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.wireframeLinecap = e.wireframeLinecap, this.wireframeLinejoin = e.wireframeLinejoin, this.fog = e.fog, this; + } +} +const at = /* @__PURE__ */ new P(), Ii = /* @__PURE__ */ new Ie(); +class Bt { + constructor(e, t, n = !1) { + if (Array.isArray(e)) + throw new TypeError("THREE.BufferAttribute: array should be a Typed Array."); + this.isBufferAttribute = !0, this.name = "", this.array = e, this.itemSize = t, this.count = e !== void 0 ? e.length / t : 0, this.normalized = n, this.usage = ea, this._updateRange = { offset: 0, count: -1 }, this.updateRanges = [], this.gpuType = an, this.version = 0; + } + onUploadCallback() { + } + set needsUpdate(e) { + e === !0 && this.version++; + } + get updateRange() { + return console.warn("THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead."), this._updateRange; + } + setUsage(e) { + return this.usage = e, this; + } + addUpdateRange(e, t) { + this.updateRanges.push({ start: e, count: t }); + } + clearUpdateRanges() { + this.updateRanges.length = 0; + } + copy(e) { + return this.name = e.name, this.array = new e.array.constructor(e.array), this.itemSize = e.itemSize, this.count = e.count, this.normalized = e.normalized, this.usage = e.usage, this.gpuType = e.gpuType, this; + } + copyAt(e, t, n) { + e *= this.itemSize, n *= t.itemSize; + for (let r = 0, s = this.itemSize; r < s; r++) + this.array[e + r] = t.array[n + r]; + return this; + } + copyArray(e) { + return this.array.set(e), this; + } + applyMatrix3(e) { + if (this.itemSize === 2) + for (let t = 0, n = this.count; t < n; t++) + Ii.fromBufferAttribute(this, t), Ii.applyMatrix3(e), this.setXY(t, Ii.x, Ii.y); + else if (this.itemSize === 3) + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyMatrix3(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + applyMatrix4(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyMatrix4(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + applyNormalMatrix(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyNormalMatrix(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + transformDirection(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.transformDirection(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + set(e, t = 0) { + return this.array.set(e, t), this; + } + getComponent(e, t) { + let n = this.array[e * this.itemSize + t]; + return this.normalized && (n = oi(n, this.array)), n; + } + setComponent(e, t, n) { + return this.normalized && (n = xt(n, this.array)), this.array[e * this.itemSize + t] = n, this; + } + getX(e) { + let t = this.array[e * this.itemSize]; + return this.normalized && (t = oi(t, this.array)), t; + } + setX(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize] = t, this; + } + getY(e) { + let t = this.array[e * this.itemSize + 1]; + return this.normalized && (t = oi(t, this.array)), t; + } + setY(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 1] = t, this; + } + getZ(e) { + let t = this.array[e * this.itemSize + 2]; + return this.normalized && (t = oi(t, this.array)), t; + } + setZ(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 2] = t, this; + } + getW(e) { + let t = this.array[e * this.itemSize + 3]; + return this.normalized && (t = oi(t, this.array)), t; + } + setW(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 3] = t, this; + } + setXY(e, t, n) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this; + } + setXYZ(e, t, n, r) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array), r = xt(r, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this.array[e + 2] = r, this; + } + setXYZW(e, t, n, r, s) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array), r = xt(r, this.array), s = xt(s, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this.array[e + 2] = r, this.array[e + 3] = s, this; + } + onUpload(e) { + return this.onUploadCallback = e, this; + } + clone() { + return new this.constructor(this.array, this.itemSize).copy(this); + } + toJSON() { + const e = { + itemSize: this.itemSize, + type: this.array.constructor.name, + array: Array.from(this.array), + normalized: this.normalized + }; + return this.name !== "" && (e.name = this.name), this.usage !== ea && (e.usage = this.usage), e; + } +} +class wo extends Bt { + constructor(e, t, n) { + super(new Uint16Array(e), t, n); + } +} +class Ro extends Bt { + constructor(e, t, n) { + super(new Uint32Array(e), t, n); + } +} +class Ht extends Bt { + constructor(e, t, n) { + super(new Float32Array(e), t, n); + } +} +let lc = 0; +const wt = /* @__PURE__ */ new Qe(), Nr = /* @__PURE__ */ new dt(), Hn = /* @__PURE__ */ new P(), yt = /* @__PURE__ */ new Cn(), hi = /* @__PURE__ */ new Cn(), ut = /* @__PURE__ */ new P(); +class hn extends Rn { + constructor() { + super(), this.isBufferGeometry = !0, Object.defineProperty(this, "id", { value: lc++ }), this.uuid = vi(), this.name = "", this.type = "BufferGeometry", this.index = null, this.attributes = {}, this.morphAttributes = {}, this.morphTargetsRelative = !1, this.groups = [], this.boundingBox = null, this.boundingSphere = null, this.drawRange = { start: 0, count: 1 / 0 }, this.userData = {}; + } + getIndex() { + return this.index; + } + setIndex(e) { + return Array.isArray(e) ? this.index = new (Mo(e) ? Ro : wo)(e, 1) : this.index = e, this; + } + getAttribute(e) { + return this.attributes[e]; + } + setAttribute(e, t) { + return this.attributes[e] = t, this; + } + deleteAttribute(e) { + return delete this.attributes[e], this; + } + hasAttribute(e) { + return this.attributes[e] !== void 0; + } + addGroup(e, t, n = 0) { + this.groups.push({ + start: e, + count: t, + materialIndex: n + }); + } + clearGroups() { + this.groups = []; + } + setDrawRange(e, t) { + this.drawRange.start = e, this.drawRange.count = t; + } + applyMatrix4(e) { + const t = this.attributes.position; + t !== void 0 && (t.applyMatrix4(e), t.needsUpdate = !0); + const n = this.attributes.normal; + if (n !== void 0) { + const s = new Ve().getNormalMatrix(e); + n.applyNormalMatrix(s), n.needsUpdate = !0; + } + const r = this.attributes.tangent; + return r !== void 0 && (r.transformDirection(e), r.needsUpdate = !0), this.boundingBox !== null && this.computeBoundingBox(), this.boundingSphere !== null && this.computeBoundingSphere(), this; + } + applyQuaternion(e) { + return wt.makeRotationFromQuaternion(e), this.applyMatrix4(wt), this; + } + rotateX(e) { + return wt.makeRotationX(e), this.applyMatrix4(wt), this; + } + rotateY(e) { + return wt.makeRotationY(e), this.applyMatrix4(wt), this; + } + rotateZ(e) { + return wt.makeRotationZ(e), this.applyMatrix4(wt), this; + } + translate(e, t, n) { + return wt.makeTranslation(e, t, n), this.applyMatrix4(wt), this; + } + scale(e, t, n) { + return wt.makeScale(e, t, n), this.applyMatrix4(wt), this; + } + lookAt(e) { + return Nr.lookAt(e), Nr.updateMatrix(), this.applyMatrix4(Nr.matrix), this; + } + center() { + return this.computeBoundingBox(), this.boundingBox.getCenter(Hn).negate(), this.translate(Hn.x, Hn.y, Hn.z), this; + } + setFromPoints(e) { + const t = []; + for (let n = 0, r = e.length; n < r; n++) { + const s = e[n]; + t.push(s.x, s.y, s.z || 0); + } + return this.setAttribute("position", new Ht(t, 3)), this; + } + computeBoundingBox() { + this.boundingBox === null && (this.boundingBox = new Cn()); + const e = this.attributes.position, t = this.morphAttributes.position; + if (e && e.isGLBufferAttribute) { + console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set "mesh.frustumCulled" to "false".', this), this.boundingBox.set( + new P(-1 / 0, -1 / 0, -1 / 0), + new P(1 / 0, 1 / 0, 1 / 0) + ); + return; + } + if (e !== void 0) { + if (this.boundingBox.setFromBufferAttribute(e), t) + for (let n = 0, r = t.length; n < r; n++) { + const s = t[n]; + yt.setFromBufferAttribute(s), this.morphTargetsRelative ? (ut.addVectors(this.boundingBox.min, yt.min), this.boundingBox.expandByPoint(ut), ut.addVectors(this.boundingBox.max, yt.max), this.boundingBox.expandByPoint(ut)) : (this.boundingBox.expandByPoint(yt.min), this.boundingBox.expandByPoint(yt.max)); + } + } else + this.boundingBox.makeEmpty(); + (isNaN(this.boundingBox.min.x) || isNaN(this.boundingBox.min.y) || isNaN(this.boundingBox.min.z)) && console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.', this); + } + computeBoundingSphere() { + this.boundingSphere === null && (this.boundingSphere = new xi()); + const e = this.attributes.position, t = this.morphAttributes.position; + if (e && e.isGLBufferAttribute) { + console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set "mesh.frustumCulled" to "false".', this), this.boundingSphere.set(new P(), 1 / 0); + return; + } + if (e) { + const n = this.boundingSphere.center; + if (yt.setFromBufferAttribute(e), t) + for (let s = 0, o = t.length; s < o; s++) { + const a = t[s]; + hi.setFromBufferAttribute(a), this.morphTargetsRelative ? (ut.addVectors(yt.min, hi.min), yt.expandByPoint(ut), ut.addVectors(yt.max, hi.max), yt.expandByPoint(ut)) : (yt.expandByPoint(hi.min), yt.expandByPoint(hi.max)); + } + yt.getCenter(n); + let r = 0; + for (let s = 0, o = e.count; s < o; s++) + ut.fromBufferAttribute(e, s), r = Math.max(r, n.distanceToSquared(ut)); + if (t) + for (let s = 0, o = t.length; s < o; s++) { + const a = t[s], l = this.morphTargetsRelative; + for (let c = 0, h = a.count; c < h; c++) + ut.fromBufferAttribute(a, c), l && (Hn.fromBufferAttribute(e, c), ut.add(Hn)), r = Math.max(r, n.distanceToSquared(ut)); + } + this.boundingSphere.radius = Math.sqrt(r), isNaN(this.boundingSphere.radius) && console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.', this); + } + } + computeTangents() { + const e = this.index, t = this.attributes; + if (e === null || t.position === void 0 || t.normal === void 0 || t.uv === void 0) { + console.error("THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)"); + return; + } + const n = e.array, r = t.position.array, s = t.normal.array, o = t.uv.array, a = r.length / 3; + this.hasAttribute("tangent") === !1 && this.setAttribute("tangent", new Bt(new Float32Array(4 * a), 4)); + const l = this.getAttribute("tangent").array, c = [], h = []; + for (let y = 0; y < a; y++) + c[y] = new P(), h[y] = new P(); + const d = new P(), p = new P(), m = new P(), g = new Ie(), v = new Ie(), f = new Ie(), u = new P(), b = new P(); + function S(y, z, Z) { + d.fromArray(r, y * 3), p.fromArray(r, z * 3), m.fromArray(r, Z * 3), g.fromArray(o, y * 2), v.fromArray(o, z * 2), f.fromArray(o, Z * 2), p.sub(d), m.sub(d), v.sub(g), f.sub(g); + const re = 1 / (v.x * f.y - f.x * v.y); + isFinite(re) && (u.copy(p).multiplyScalar(f.y).addScaledVector(m, -v.y).multiplyScalar(re), b.copy(m).multiplyScalar(v.x).addScaledVector(p, -f.x).multiplyScalar(re), c[y].add(u), c[z].add(u), c[Z].add(u), h[y].add(b), h[z].add(b), h[Z].add(b)); + } + let R = this.groups; + R.length === 0 && (R = [{ + start: 0, + count: n.length + }]); + for (let y = 0, z = R.length; y < z; ++y) { + const Z = R[y], re = Z.start, L = Z.count; + for (let F = re, V = re + L; F < V; F += 3) + S( + n[F + 0], + n[F + 1], + n[F + 2] + ); + } + const D = new P(), C = new P(), A = new P(), W = new P(); + function x(y) { + A.fromArray(s, y * 3), W.copy(A); + const z = c[y]; + D.copy(z), D.sub(A.multiplyScalar(A.dot(z))).normalize(), C.crossVectors(W, z); + const re = C.dot(h[y]) < 0 ? -1 : 1; + l[y * 4] = D.x, l[y * 4 + 1] = D.y, l[y * 4 + 2] = D.z, l[y * 4 + 3] = re; + } + for (let y = 0, z = R.length; y < z; ++y) { + const Z = R[y], re = Z.start, L = Z.count; + for (let F = re, V = re + L; F < V; F += 3) + x(n[F + 0]), x(n[F + 1]), x(n[F + 2]); + } + } + computeVertexNormals() { + const e = this.index, t = this.getAttribute("position"); + if (t !== void 0) { + let n = this.getAttribute("normal"); + if (n === void 0) + n = new Bt(new Float32Array(t.count * 3), 3), this.setAttribute("normal", n); + else + for (let p = 0, m = n.count; p < m; p++) + n.setXYZ(p, 0, 0, 0); + const r = new P(), s = new P(), o = new P(), a = new P(), l = new P(), c = new P(), h = new P(), d = new P(); + if (e) + for (let p = 0, m = e.count; p < m; p += 3) { + const g = e.getX(p + 0), v = e.getX(p + 1), f = e.getX(p + 2); + r.fromBufferAttribute(t, g), s.fromBufferAttribute(t, v), o.fromBufferAttribute(t, f), h.subVectors(o, s), d.subVectors(r, s), h.cross(d), a.fromBufferAttribute(n, g), l.fromBufferAttribute(n, v), c.fromBufferAttribute(n, f), a.add(h), l.add(h), c.add(h), n.setXYZ(g, a.x, a.y, a.z), n.setXYZ(v, l.x, l.y, l.z), n.setXYZ(f, c.x, c.y, c.z); + } + else + for (let p = 0, m = t.count; p < m; p += 3) + r.fromBufferAttribute(t, p + 0), s.fromBufferAttribute(t, p + 1), o.fromBufferAttribute(t, p + 2), h.subVectors(o, s), d.subVectors(r, s), h.cross(d), n.setXYZ(p + 0, h.x, h.y, h.z), n.setXYZ(p + 1, h.x, h.y, h.z), n.setXYZ(p + 2, h.x, h.y, h.z); + this.normalizeNormals(), n.needsUpdate = !0; + } + } + normalizeNormals() { + const e = this.attributes.normal; + for (let t = 0, n = e.count; t < n; t++) + ut.fromBufferAttribute(e, t), ut.normalize(), e.setXYZ(t, ut.x, ut.y, ut.z); + } + toNonIndexed() { + function e(a, l) { + const c = a.array, h = a.itemSize, d = a.normalized, p = new c.constructor(l.length * h); + let m = 0, g = 0; + for (let v = 0, f = l.length; v < f; v++) { + a.isInterleavedBufferAttribute ? m = l[v] * a.data.stride + a.offset : m = l[v] * h; + for (let u = 0; u < h; u++) + p[g++] = c[m++]; + } + return new Bt(p, h, d); + } + if (this.index === null) + return console.warn("THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed."), this; + const t = new hn(), n = this.index.array, r = this.attributes; + for (const a in r) { + const l = r[a], c = e(l, n); + t.setAttribute(a, c); + } + const s = this.morphAttributes; + for (const a in s) { + const l = [], c = s[a]; + for (let h = 0, d = c.length; h < d; h++) { + const p = c[h], m = e(p, n); + l.push(m); + } + t.morphAttributes[a] = l; + } + t.morphTargetsRelative = this.morphTargetsRelative; + const o = this.groups; + for (let a = 0, l = o.length; a < l; a++) { + const c = o[a]; + t.addGroup(c.start, c.count, c.materialIndex); + } + return t; + } + toJSON() { + const e = { + metadata: { + version: 4.6, + type: "BufferGeometry", + generator: "BufferGeometry.toJSON" + } + }; + if (e.uuid = this.uuid, e.type = this.type, this.name !== "" && (e.name = this.name), Object.keys(this.userData).length > 0 && (e.userData = this.userData), this.parameters !== void 0) { + const l = this.parameters; + for (const c in l) + l[c] !== void 0 && (e[c] = l[c]); + return e; + } + e.data = { attributes: {} }; + const t = this.index; + t !== null && (e.data.index = { + type: t.array.constructor.name, + array: Array.prototype.slice.call(t.array) + }); + const n = this.attributes; + for (const l in n) { + const c = n[l]; + e.data.attributes[l] = c.toJSON(e.data); + } + const r = {}; + let s = !1; + for (const l in this.morphAttributes) { + const c = this.morphAttributes[l], h = []; + for (let d = 0, p = c.length; d < p; d++) { + const m = c[d]; + h.push(m.toJSON(e.data)); + } + h.length > 0 && (r[l] = h, s = !0); + } + s && (e.data.morphAttributes = r, e.data.morphTargetsRelative = this.morphTargetsRelative); + const o = this.groups; + o.length > 0 && (e.data.groups = JSON.parse(JSON.stringify(o))); + const a = this.boundingSphere; + return a !== null && (e.data.boundingSphere = { + center: a.center.toArray(), + radius: a.radius + }), e; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.index = null, this.attributes = {}, this.morphAttributes = {}, this.groups = [], this.boundingBox = null, this.boundingSphere = null; + const t = {}; + this.name = e.name; + const n = e.index; + n !== null && this.setIndex(n.clone(t)); + const r = e.attributes; + for (const c in r) { + const h = r[c]; + this.setAttribute(c, h.clone(t)); + } + const s = e.morphAttributes; + for (const c in s) { + const h = [], d = s[c]; + for (let p = 0, m = d.length; p < m; p++) + h.push(d[p].clone(t)); + this.morphAttributes[c] = h; + } + this.morphTargetsRelative = e.morphTargetsRelative; + const o = e.groups; + for (let c = 0, h = o.length; c < h; c++) { + const d = o[c]; + this.addGroup(d.start, d.count, d.materialIndex); + } + const a = e.boundingBox; + a !== null && (this.boundingBox = a.clone()); + const l = e.boundingSphere; + return l !== null && (this.boundingSphere = l.clone()), this.drawRange.start = e.drawRange.start, this.drawRange.count = e.drawRange.count, this.userData = e.userData, this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +const pa = /* @__PURE__ */ new Qe(), gn = /* @__PURE__ */ new To(), Ni = /* @__PURE__ */ new xi(), ma = /* @__PURE__ */ new P(), Vn = /* @__PURE__ */ new P(), kn = /* @__PURE__ */ new P(), Wn = /* @__PURE__ */ new P(), Fr = /* @__PURE__ */ new P(), Fi = /* @__PURE__ */ new P(), Oi = /* @__PURE__ */ new Ie(), Bi = /* @__PURE__ */ new Ie(), zi = /* @__PURE__ */ new Ie(), _a = /* @__PURE__ */ new P(), ga = /* @__PURE__ */ new P(), va = /* @__PURE__ */ new P(), Gi = /* @__PURE__ */ new P(), Hi = /* @__PURE__ */ new P(); +class Ot extends dt { + constructor(e = new hn(), t = new ls()) { + super(), this.isMesh = !0, this.type = "Mesh", this.geometry = e, this.material = t, this.updateMorphTargets(); + } + copy(e, t) { + return super.copy(e, t), e.morphTargetInfluences !== void 0 && (this.morphTargetInfluences = e.morphTargetInfluences.slice()), e.morphTargetDictionary !== void 0 && (this.morphTargetDictionary = Object.assign({}, e.morphTargetDictionary)), this.material = Array.isArray(e.material) ? e.material.slice() : e.material, this.geometry = e.geometry, this; + } + updateMorphTargets() { + const t = this.geometry.morphAttributes, n = Object.keys(t); + if (n.length > 0) { + const r = t[n[0]]; + if (r !== void 0) { + this.morphTargetInfluences = [], this.morphTargetDictionary = {}; + for (let s = 0, o = r.length; s < o; s++) { + const a = r[s].name || String(s); + this.morphTargetInfluences.push(0), this.morphTargetDictionary[a] = s; + } + } + } + } + getVertexPosition(e, t) { + const n = this.geometry, r = n.attributes.position, s = n.morphAttributes.position, o = n.morphTargetsRelative; + t.fromBufferAttribute(r, e); + const a = this.morphTargetInfluences; + if (s && a) { + Fi.set(0, 0, 0); + for (let l = 0, c = s.length; l < c; l++) { + const h = a[l], d = s[l]; + h !== 0 && (Fr.fromBufferAttribute(d, e), o ? Fi.addScaledVector(Fr, h) : Fi.addScaledVector(Fr.sub(t), h)); + } + t.add(Fi); + } + return t; + } + raycast(e, t) { + const n = this.geometry, r = this.material, s = this.matrixWorld; + r !== void 0 && (n.boundingSphere === null && n.computeBoundingSphere(), Ni.copy(n.boundingSphere), Ni.applyMatrix4(s), gn.copy(e.ray).recast(e.near), !(Ni.containsPoint(gn.origin) === !1 && (gn.intersectSphere(Ni, ma) === null || gn.origin.distanceToSquared(ma) > (e.far - e.near) ** 2)) && (pa.copy(s).invert(), gn.copy(e.ray).applyMatrix4(pa), !(n.boundingBox !== null && gn.intersectsBox(n.boundingBox) === !1) && this._computeIntersections(e, t, gn))); + } + _computeIntersections(e, t, n) { + let r; + const s = this.geometry, o = this.material, a = s.index, l = s.attributes.position, c = s.attributes.uv, h = s.attributes.uv1, d = s.attributes.normal, p = s.groups, m = s.drawRange; + if (a !== null) + if (Array.isArray(o)) + for (let g = 0, v = p.length; g < v; g++) { + const f = p[g], u = o[f.materialIndex], b = Math.max(f.start, m.start), S = Math.min(a.count, Math.min(f.start + f.count, m.start + m.count)); + for (let R = b, D = S; R < D; R += 3) { + const C = a.getX(R), A = a.getX(R + 1), W = a.getX(R + 2); + r = Vi(this, u, e, n, c, h, d, C, A, W), r && (r.faceIndex = Math.floor(R / 3), r.face.materialIndex = f.materialIndex, t.push(r)); + } + } + else { + const g = Math.max(0, m.start), v = Math.min(a.count, m.start + m.count); + for (let f = g, u = v; f < u; f += 3) { + const b = a.getX(f), S = a.getX(f + 1), R = a.getX(f + 2); + r = Vi(this, o, e, n, c, h, d, b, S, R), r && (r.faceIndex = Math.floor(f / 3), t.push(r)); + } + } + else if (l !== void 0) + if (Array.isArray(o)) + for (let g = 0, v = p.length; g < v; g++) { + const f = p[g], u = o[f.materialIndex], b = Math.max(f.start, m.start), S = Math.min(l.count, Math.min(f.start + f.count, m.start + m.count)); + for (let R = b, D = S; R < D; R += 3) { + const C = R, A = R + 1, W = R + 2; + r = Vi(this, u, e, n, c, h, d, C, A, W), r && (r.faceIndex = Math.floor(R / 3), r.face.materialIndex = f.materialIndex, t.push(r)); + } + } + else { + const g = Math.max(0, m.start), v = Math.min(l.count, m.start + m.count); + for (let f = g, u = v; f < u; f += 3) { + const b = f, S = f + 1, R = f + 2; + r = Vi(this, o, e, n, c, h, d, b, S, R), r && (r.faceIndex = Math.floor(f / 3), t.push(r)); + } + } + } +} +function cc(i, e, t, n, r, s, o, a) { + let l; + if (e.side === Mt ? l = n.intersectTriangle(o, s, r, !0, a) : l = n.intersectTriangle(r, s, o, e.side === un, a), l === null) return null; + Hi.copy(a), Hi.applyMatrix4(i.matrixWorld); + const c = t.ray.origin.distanceTo(Hi); + return c < t.near || c > t.far ? null : { + distance: c, + point: Hi.clone(), + object: i + }; +} +function Vi(i, e, t, n, r, s, o, a, l, c) { + i.getVertexPosition(a, Vn), i.getVertexPosition(l, kn), i.getVertexPosition(c, Wn); + const h = cc(i, e, t, n, Vn, kn, Wn, Gi); + if (h) { + r && (Oi.fromBufferAttribute(r, a), Bi.fromBufferAttribute(r, l), zi.fromBufferAttribute(r, c), h.uv = It.getInterpolation(Gi, Vn, kn, Wn, Oi, Bi, zi, new Ie())), s && (Oi.fromBufferAttribute(s, a), Bi.fromBufferAttribute(s, l), zi.fromBufferAttribute(s, c), h.uv1 = It.getInterpolation(Gi, Vn, kn, Wn, Oi, Bi, zi, new Ie()), h.uv2 = h.uv1), o && (_a.fromBufferAttribute(o, a), ga.fromBufferAttribute(o, l), va.fromBufferAttribute(o, c), h.normal = It.getInterpolation(Gi, Vn, kn, Wn, _a, ga, va, new P()), h.normal.dot(n.direction) > 0 && h.normal.multiplyScalar(-1)); + const d = { + a, + b: l, + c, + normal: new P(), + materialIndex: 0 + }; + It.getNormal(Vn, kn, Wn, d.normal), h.face = d; + } + return h; +} +class ii extends hn { + constructor(e = 1, t = 1, n = 1, r = 1, s = 1, o = 1) { + super(), this.type = "BoxGeometry", this.parameters = { + width: e, + height: t, + depth: n, + widthSegments: r, + heightSegments: s, + depthSegments: o + }; + const a = this; + r = Math.floor(r), s = Math.floor(s), o = Math.floor(o); + const l = [], c = [], h = [], d = []; + let p = 0, m = 0; + g("z", "y", "x", -1, -1, n, t, e, o, s, 0), g("z", "y", "x", 1, -1, n, t, -e, o, s, 1), g("x", "z", "y", 1, 1, e, n, t, r, o, 2), g("x", "z", "y", 1, -1, e, n, -t, r, o, 3), g("x", "y", "z", 1, -1, e, t, n, r, s, 4), g("x", "y", "z", -1, -1, e, t, -n, r, s, 5), this.setIndex(l), this.setAttribute("position", new Ht(c, 3)), this.setAttribute("normal", new Ht(h, 3)), this.setAttribute("uv", new Ht(d, 2)); + function g(v, f, u, b, S, R, D, C, A, W, x) { + const y = R / A, z = D / W, Z = R / 2, re = D / 2, L = C / 2, F = A + 1, V = W + 1; + let Y = 0, X = 0; + const k = new P(); + for (let q = 0; q < V; q++) { + const Q = q * z - re; + for (let ce = 0; ce < F; ce++) { + const H = ce * y - Z; + k[v] = H * b, k[f] = Q * S, k[u] = L, c.push(k.x, k.y, k.z), k[v] = 0, k[f] = 0, k[u] = C > 0 ? 1 : -1, h.push(k.x, k.y, k.z), d.push(ce / A), d.push(1 - q / W), Y += 1; + } + } + for (let q = 0; q < W; q++) + for (let Q = 0; Q < A; Q++) { + const ce = p + Q + F * q, H = p + Q + F * (q + 1), j = p + (Q + 1) + F * (q + 1), oe = p + (Q + 1) + F * q; + l.push(ce, H, oe), l.push(H, j, oe), X += 6; + } + a.addGroup(m, X, x), m += X, p += Y; + } + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new ii(e.width, e.height, e.depth, e.widthSegments, e.heightSegments, e.depthSegments); + } +} +function ni(i) { + const e = {}; + for (const t in i) { + e[t] = {}; + for (const n in i[t]) { + const r = i[t][n]; + r && (r.isColor || r.isMatrix3 || r.isMatrix4 || r.isVector2 || r.isVector3 || r.isVector4 || r.isTexture || r.isQuaternion) ? r.isRenderTargetTexture ? (console.warn("UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms()."), e[t][n] = null) : e[t][n] = r.clone() : Array.isArray(r) ? e[t][n] = r.slice() : e[t][n] = r; + } + } + return e; +} +function _t(i) { + const e = {}; + for (let t = 0; t < i.length; t++) { + const n = ni(i[t]); + for (const r in n) + e[r] = n[r]; + } + return e; +} +function uc(i) { + const e = []; + for (let t = 0; t < i.length; t++) + e.push(i[t].clone()); + return e; +} +function Co(i) { + return i.getRenderTarget() === null ? i.outputColorSpace : Ke.workingColorSpace; +} +const hc = { clone: ni, merge: _t }; +var dc = `void main() { + gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 ); +}`, fc = `void main() { + gl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 ); +}`; +class wn extends Mi { + constructor(e) { + super(), this.isShaderMaterial = !0, this.type = "ShaderMaterial", this.defines = {}, this.uniforms = {}, this.uniformsGroups = [], this.vertexShader = dc, this.fragmentShader = fc, this.linewidth = 1, this.wireframe = !1, this.wireframeLinewidth = 1, this.fog = !1, this.lights = !1, this.clipping = !1, this.forceSinglePass = !0, this.extensions = { + derivatives: !1, + // set to use derivatives + fragDepth: !1, + // set to use fragment depth values + drawBuffers: !1, + // set to use draw buffers + shaderTextureLOD: !1, + // set to use shader texture LOD + clipCullDistance: !1 + // set to use vertex shader clipping + }, this.defaultAttributeValues = { + color: [1, 1, 1], + uv: [0, 0], + uv1: [0, 0] + }, this.index0AttributeName = void 0, this.uniformsNeedUpdate = !1, this.glslVersion = null, e !== void 0 && this.setValues(e); + } + copy(e) { + return super.copy(e), this.fragmentShader = e.fragmentShader, this.vertexShader = e.vertexShader, this.uniforms = ni(e.uniforms), this.uniformsGroups = uc(e.uniformsGroups), this.defines = Object.assign({}, e.defines), this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.fog = e.fog, this.lights = e.lights, this.clipping = e.clipping, this.extensions = Object.assign({}, e.extensions), this.glslVersion = e.glslVersion, this; + } + toJSON(e) { + const t = super.toJSON(e); + t.glslVersion = this.glslVersion, t.uniforms = {}; + for (const r in this.uniforms) { + const o = this.uniforms[r].value; + o && o.isTexture ? t.uniforms[r] = { + type: "t", + value: o.toJSON(e).uuid + } : o && o.isColor ? t.uniforms[r] = { + type: "c", + value: o.getHex() + } : o && o.isVector2 ? t.uniforms[r] = { + type: "v2", + value: o.toArray() + } : o && o.isVector3 ? t.uniforms[r] = { + type: "v3", + value: o.toArray() + } : o && o.isVector4 ? t.uniforms[r] = { + type: "v4", + value: o.toArray() + } : o && o.isMatrix3 ? t.uniforms[r] = { + type: "m3", + value: o.toArray() + } : o && o.isMatrix4 ? t.uniforms[r] = { + type: "m4", + value: o.toArray() + } : t.uniforms[r] = { + value: o + }; + } + Object.keys(this.defines).length > 0 && (t.defines = this.defines), t.vertexShader = this.vertexShader, t.fragmentShader = this.fragmentShader, t.lights = this.lights, t.clipping = this.clipping; + const n = {}; + for (const r in this.extensions) + this.extensions[r] === !0 && (n[r] = !0); + return Object.keys(n).length > 0 && (t.extensions = n), t; + } +} +class Lo extends dt { + constructor() { + super(), this.isCamera = !0, this.type = "Camera", this.matrixWorldInverse = new Qe(), this.projectionMatrix = new Qe(), this.projectionMatrixInverse = new Qe(), this.coordinateSystem = Zt; + } + copy(e, t) { + return super.copy(e, t), this.matrixWorldInverse.copy(e.matrixWorldInverse), this.projectionMatrix.copy(e.projectionMatrix), this.projectionMatrixInverse.copy(e.projectionMatrixInverse), this.coordinateSystem = e.coordinateSystem, this; + } + getWorldDirection(e) { + return super.getWorldDirection(e).negate(); + } + updateMatrixWorld(e) { + super.updateMatrixWorld(e), this.matrixWorldInverse.copy(this.matrixWorld).invert(); + } + updateWorldMatrix(e, t) { + super.updateWorldMatrix(e, t), this.matrixWorldInverse.copy(this.matrixWorld).invert(); + } + clone() { + return new this.constructor().copy(this); + } +} +class Tt extends Lo { + constructor(e = 50, t = 1, n = 0.1, r = 2e3) { + super(), this.isPerspectiveCamera = !0, this.type = "PerspectiveCamera", this.fov = e, this.zoom = 1, this.near = n, this.far = r, this.focus = 10, this.aspect = t, this.view = null, this.filmGauge = 35, this.filmOffset = 0, this.updateProjectionMatrix(); + } + copy(e, t) { + return super.copy(e, t), this.fov = e.fov, this.zoom = e.zoom, this.near = e.near, this.far = e.far, this.focus = e.focus, this.aspect = e.aspect, this.view = e.view === null ? null : Object.assign({}, e.view), this.filmGauge = e.filmGauge, this.filmOffset = e.filmOffset, this; + } + /** + * Sets the FOV by focal length in respect to the current .filmGauge. + * + * The default film gauge is 35, so that the focal length can be specified for + * a 35mm (full frame) camera. + * + * Values for focal length and film gauge must have the same unit. + */ + setFocalLength(e) { + const t = 0.5 * this.getFilmHeight() / e; + this.fov = ns * 2 * Math.atan(t), this.updateProjectionMatrix(); + } + /** + * Calculates the focal length from the current .fov and .filmGauge. + */ + getFocalLength() { + const e = Math.tan(Ki * 0.5 * this.fov); + return 0.5 * this.getFilmHeight() / e; + } + getEffectiveFOV() { + return ns * 2 * Math.atan( + Math.tan(Ki * 0.5 * this.fov) / this.zoom + ); + } + getFilmWidth() { + return this.filmGauge * Math.min(this.aspect, 1); + } + getFilmHeight() { + return this.filmGauge / Math.max(this.aspect, 1); + } + /** + * Sets an offset in a larger frustum. This is useful for multi-window or + * multi-monitor/multi-machine setups. + * + * For example, if you have 3x2 monitors and each monitor is 1920x1080 and + * the monitors are in grid like this + * + * +---+---+---+ + * | A | B | C | + * +---+---+---+ + * | D | E | F | + * +---+---+---+ + * + * then for each monitor you would call it like this + * + * const w = 1920; + * const h = 1080; + * const fullWidth = w * 3; + * const fullHeight = h * 2; + * + * --A-- + * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h ); + * --B-- + * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h ); + * --C-- + * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h ); + * --D-- + * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h ); + * --E-- + * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h ); + * --F-- + * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h ); + * + * Note there is no reason monitors have to be the same size or in a grid. + */ + setViewOffset(e, t, n, r, s, o) { + this.aspect = e / t, this.view === null && (this.view = { + enabled: !0, + fullWidth: 1, + fullHeight: 1, + offsetX: 0, + offsetY: 0, + width: 1, + height: 1 + }), this.view.enabled = !0, this.view.fullWidth = e, this.view.fullHeight = t, this.view.offsetX = n, this.view.offsetY = r, this.view.width = s, this.view.height = o, this.updateProjectionMatrix(); + } + clearViewOffset() { + this.view !== null && (this.view.enabled = !1), this.updateProjectionMatrix(); + } + updateProjectionMatrix() { + const e = this.near; + let t = e * Math.tan(Ki * 0.5 * this.fov) / this.zoom, n = 2 * t, r = this.aspect * n, s = -0.5 * r; + const o = this.view; + if (this.view !== null && this.view.enabled) { + const l = o.fullWidth, c = o.fullHeight; + s += o.offsetX * r / l, t -= o.offsetY * n / c, r *= o.width / l, n *= o.height / c; + } + const a = this.filmOffset; + a !== 0 && (s += e * a / this.getFilmWidth()), this.projectionMatrix.makePerspective(s, s + r, t, t - n, e, this.far, this.coordinateSystem), this.projectionMatrixInverse.copy(this.projectionMatrix).invert(); + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.fov = this.fov, t.object.zoom = this.zoom, t.object.near = this.near, t.object.far = this.far, t.object.focus = this.focus, t.object.aspect = this.aspect, this.view !== null && (t.object.view = Object.assign({}, this.view)), t.object.filmGauge = this.filmGauge, t.object.filmOffset = this.filmOffset, t; + } +} +const Xn = -90, qn = 1; +class pc extends dt { + constructor(e, t, n) { + super(), this.type = "CubeCamera", this.renderTarget = n, this.coordinateSystem = null, this.activeMipmapLevel = 0; + const r = new Tt(Xn, qn, e, t); + r.layers = this.layers, this.add(r); + const s = new Tt(Xn, qn, e, t); + s.layers = this.layers, this.add(s); + const o = new Tt(Xn, qn, e, t); + o.layers = this.layers, this.add(o); + const a = new Tt(Xn, qn, e, t); + a.layers = this.layers, this.add(a); + const l = new Tt(Xn, qn, e, t); + l.layers = this.layers, this.add(l); + const c = new Tt(Xn, qn, e, t); + c.layers = this.layers, this.add(c); + } + updateCoordinateSystem() { + const e = this.coordinateSystem, t = this.children.concat(), [n, r, s, o, a, l] = t; + for (const c of t) this.remove(c); + if (e === Zt) + n.up.set(0, 1, 0), n.lookAt(1, 0, 0), r.up.set(0, 1, 0), r.lookAt(-1, 0, 0), s.up.set(0, 0, -1), s.lookAt(0, 1, 0), o.up.set(0, 0, 1), o.lookAt(0, -1, 0), a.up.set(0, 1, 0), a.lookAt(0, 0, 1), l.up.set(0, 1, 0), l.lookAt(0, 0, -1); + else if (e === tr) + n.up.set(0, -1, 0), n.lookAt(-1, 0, 0), r.up.set(0, -1, 0), r.lookAt(1, 0, 0), s.up.set(0, 0, 1), s.lookAt(0, 1, 0), o.up.set(0, 0, -1), o.lookAt(0, -1, 0), a.up.set(0, -1, 0), a.lookAt(0, 0, 1), l.up.set(0, -1, 0), l.lookAt(0, 0, -1); + else + throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: " + e); + for (const c of t) + this.add(c), c.updateMatrixWorld(); + } + update(e, t) { + this.parent === null && this.updateMatrixWorld(); + const { renderTarget: n, activeMipmapLevel: r } = this; + this.coordinateSystem !== e.coordinateSystem && (this.coordinateSystem = e.coordinateSystem, this.updateCoordinateSystem()); + const [s, o, a, l, c, h] = this.children, d = e.getRenderTarget(), p = e.getActiveCubeFace(), m = e.getActiveMipmapLevel(), g = e.xr.enabled; + e.xr.enabled = !1; + const v = n.texture.generateMipmaps; + n.texture.generateMipmaps = !1, e.setRenderTarget(n, 0, r), e.render(t, s), e.setRenderTarget(n, 1, r), e.render(t, o), e.setRenderTarget(n, 2, r), e.render(t, a), e.setRenderTarget(n, 3, r), e.render(t, l), e.setRenderTarget(n, 4, r), e.render(t, c), n.texture.generateMipmaps = v, e.setRenderTarget(n, 5, r), e.render(t, h), e.setRenderTarget(d, p, m), e.xr.enabled = g, n.texture.needsPMREMUpdate = !0; + } +} +class Po extends bt { + constructor(e, t, n, r, s, o, a, l, c, h) { + e = e !== void 0 ? e : [], t = t !== void 0 ? t : Qn, super(e, t, n, r, s, o, a, l, c, h), this.isCubeTexture = !0, this.flipY = !1; + } + get images() { + return this.image; + } + set images(e) { + this.image = e; + } +} +class mc extends bn { + constructor(e = 1, t = {}) { + super(e, e, t), this.isWebGLCubeRenderTarget = !0; + const n = { width: e, height: e, depth: 1 }, r = [n, n, n, n, n, n]; + t.encoding !== void 0 && (mi("THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace."), t.colorSpace = t.encoding === Tn ? ht : Ct), this.texture = new Po(r, t.mapping, t.wrapS, t.wrapT, t.magFilter, t.minFilter, t.format, t.type, t.anisotropy, t.colorSpace), this.texture.isRenderTargetTexture = !0, this.texture.generateMipmaps = t.generateMipmaps !== void 0 ? t.generateMipmaps : !1, this.texture.minFilter = t.minFilter !== void 0 ? t.minFilter : Rt; + } + fromEquirectangularTexture(e, t) { + this.texture.type = t.type, this.texture.colorSpace = t.colorSpace, this.texture.generateMipmaps = t.generateMipmaps, this.texture.minFilter = t.minFilter, this.texture.magFilter = t.magFilter; + const n = { + uniforms: { + tEquirect: { value: null } + }, + vertexShader: ( + /* glsl */ + ` + + varying vec3 vWorldDirection; + + vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); + + } + + void main() { + + vWorldDirection = transformDirection( position, modelMatrix ); + + #include + #include + + } + ` + ), + fragmentShader: ( + /* glsl */ + ` + + uniform sampler2D tEquirect; + + varying vec3 vWorldDirection; + + #include + + void main() { + + vec3 direction = normalize( vWorldDirection ); + + vec2 sampleUV = equirectUv( direction ); + + gl_FragColor = texture2D( tEquirect, sampleUV ); + + } + ` + ) + }, r = new ii(5, 5, 5), s = new wn({ + name: "CubemapFromEquirect", + uniforms: ni(n.uniforms), + vertexShader: n.vertexShader, + fragmentShader: n.fragmentShader, + side: Mt, + blending: on + }); + s.uniforms.tEquirect.value = t; + const o = new Ot(r, s), a = t.minFilter; + return t.minFilter === _i && (t.minFilter = Rt), new pc(1, 10, this).update(e, o), t.minFilter = a, o.geometry.dispose(), o.material.dispose(), this; + } + clear(e, t, n, r) { + const s = e.getRenderTarget(); + for (let o = 0; o < 6; o++) + e.setRenderTarget(this, o), e.clear(t, n, r); + e.setRenderTarget(s); + } +} +const Or = /* @__PURE__ */ new P(), _c = /* @__PURE__ */ new P(), gc = /* @__PURE__ */ new Ve(); +class rn { + constructor(e = new P(1, 0, 0), t = 0) { + this.isPlane = !0, this.normal = e, this.constant = t; + } + set(e, t) { + return this.normal.copy(e), this.constant = t, this; + } + setComponents(e, t, n, r) { + return this.normal.set(e, t, n), this.constant = r, this; + } + setFromNormalAndCoplanarPoint(e, t) { + return this.normal.copy(e), this.constant = -t.dot(this.normal), this; + } + setFromCoplanarPoints(e, t, n) { + const r = Or.subVectors(n, t).cross(_c.subVectors(e, t)).normalize(); + return this.setFromNormalAndCoplanarPoint(r, e), this; + } + copy(e) { + return this.normal.copy(e.normal), this.constant = e.constant, this; + } + normalize() { + const e = 1 / this.normal.length(); + return this.normal.multiplyScalar(e), this.constant *= e, this; + } + negate() { + return this.constant *= -1, this.normal.negate(), this; + } + distanceToPoint(e) { + return this.normal.dot(e) + this.constant; + } + distanceToSphere(e) { + return this.distanceToPoint(e.center) - e.radius; + } + projectPoint(e, t) { + return t.copy(e).addScaledVector(this.normal, -this.distanceToPoint(e)); + } + intersectLine(e, t) { + const n = e.delta(Or), r = this.normal.dot(n); + if (r === 0) + return this.distanceToPoint(e.start) === 0 ? t.copy(e.start) : null; + const s = -(e.start.dot(this.normal) + this.constant) / r; + return s < 0 || s > 1 ? null : t.copy(e.start).addScaledVector(n, s); + } + intersectsLine(e) { + const t = this.distanceToPoint(e.start), n = this.distanceToPoint(e.end); + return t < 0 && n > 0 || n < 0 && t > 0; + } + intersectsBox(e) { + return e.intersectsPlane(this); + } + intersectsSphere(e) { + return e.intersectsPlane(this); + } + coplanarPoint(e) { + return e.copy(this.normal).multiplyScalar(-this.constant); + } + applyMatrix4(e, t) { + const n = t || gc.getNormalMatrix(e), r = this.coplanarPoint(Or).applyMatrix4(e), s = this.normal.applyMatrix3(n).normalize(); + return this.constant = -r.dot(s), this; + } + translate(e) { + return this.constant -= e.dot(this.normal), this; + } + equals(e) { + return e.normal.equals(this.normal) && e.constant === this.constant; + } + clone() { + return new this.constructor().copy(this); + } +} +const vn = /* @__PURE__ */ new xi(), ki = /* @__PURE__ */ new P(); +class cs { + constructor(e = new rn(), t = new rn(), n = new rn(), r = new rn(), s = new rn(), o = new rn()) { + this.planes = [e, t, n, r, s, o]; + } + set(e, t, n, r, s, o) { + const a = this.planes; + return a[0].copy(e), a[1].copy(t), a[2].copy(n), a[3].copy(r), a[4].copy(s), a[5].copy(o), this; + } + copy(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) + t[n].copy(e.planes[n]); + return this; + } + setFromProjectionMatrix(e, t = Zt) { + const n = this.planes, r = e.elements, s = r[0], o = r[1], a = r[2], l = r[3], c = r[4], h = r[5], d = r[6], p = r[7], m = r[8], g = r[9], v = r[10], f = r[11], u = r[12], b = r[13], S = r[14], R = r[15]; + if (n[0].setComponents(l - s, p - c, f - m, R - u).normalize(), n[1].setComponents(l + s, p + c, f + m, R + u).normalize(), n[2].setComponents(l + o, p + h, f + g, R + b).normalize(), n[3].setComponents(l - o, p - h, f - g, R - b).normalize(), n[4].setComponents(l - a, p - d, f - v, R - S).normalize(), t === Zt) + n[5].setComponents(l + a, p + d, f + v, R + S).normalize(); + else if (t === tr) + n[5].setComponents(a, d, v, S).normalize(); + else + throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: " + t); + return this; + } + intersectsObject(e) { + if (e.boundingSphere !== void 0) + e.boundingSphere === null && e.computeBoundingSphere(), vn.copy(e.boundingSphere).applyMatrix4(e.matrixWorld); + else { + const t = e.geometry; + t.boundingSphere === null && t.computeBoundingSphere(), vn.copy(t.boundingSphere).applyMatrix4(e.matrixWorld); + } + return this.intersectsSphere(vn); + } + intersectsSprite(e) { + return vn.center.set(0, 0, 0), vn.radius = 0.7071067811865476, vn.applyMatrix4(e.matrixWorld), this.intersectsSphere(vn); + } + intersectsSphere(e) { + const t = this.planes, n = e.center, r = -e.radius; + for (let s = 0; s < 6; s++) + if (t[s].distanceToPoint(n) < r) + return !1; + return !0; + } + intersectsBox(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) { + const r = t[n]; + if (ki.x = r.normal.x > 0 ? e.max.x : e.min.x, ki.y = r.normal.y > 0 ? e.max.y : e.min.y, ki.z = r.normal.z > 0 ? e.max.z : e.min.z, r.distanceToPoint(ki) < 0) + return !1; + } + return !0; + } + containsPoint(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) + if (t[n].distanceToPoint(e) < 0) + return !1; + return !0; + } + clone() { + return new this.constructor().copy(this); + } +} +function Do() { + let i = null, e = !1, t = null, n = null; + function r(s, o) { + t(s, o), n = i.requestAnimationFrame(r); + } + return { + start: function() { + e !== !0 && t !== null && (n = i.requestAnimationFrame(r), e = !0); + }, + stop: function() { + i.cancelAnimationFrame(n), e = !1; + }, + setAnimationLoop: function(s) { + t = s; + }, + setContext: function(s) { + i = s; + } + }; +} +function vc(i, e) { + const t = e.isWebGL2, n = /* @__PURE__ */ new WeakMap(); + function r(c, h) { + const d = c.array, p = c.usage, m = d.byteLength, g = i.createBuffer(); + i.bindBuffer(h, g), i.bufferData(h, d, p), c.onUploadCallback(); + let v; + if (d instanceof Float32Array) + v = i.FLOAT; + else if (d instanceof Uint16Array) + if (c.isFloat16BufferAttribute) + if (t) + v = i.HALF_FLOAT; + else + throw new Error("THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2."); + else + v = i.UNSIGNED_SHORT; + else if (d instanceof Int16Array) + v = i.SHORT; + else if (d instanceof Uint32Array) + v = i.UNSIGNED_INT; + else if (d instanceof Int32Array) + v = i.INT; + else if (d instanceof Int8Array) + v = i.BYTE; + else if (d instanceof Uint8Array) + v = i.UNSIGNED_BYTE; + else if (d instanceof Uint8ClampedArray) + v = i.UNSIGNED_BYTE; + else + throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: " + d); + return { + buffer: g, + type: v, + bytesPerElement: d.BYTES_PER_ELEMENT, + version: c.version, + size: m + }; + } + function s(c, h, d) { + const p = h.array, m = h._updateRange, g = h.updateRanges; + if (i.bindBuffer(d, c), m.count === -1 && g.length === 0 && i.bufferSubData(d, 0, p), g.length !== 0) { + for (let v = 0, f = g.length; v < f; v++) { + const u = g[v]; + t ? i.bufferSubData( + d, + u.start * p.BYTES_PER_ELEMENT, + p, + u.start, + u.count + ) : i.bufferSubData( + d, + u.start * p.BYTES_PER_ELEMENT, + p.subarray(u.start, u.start + u.count) + ); + } + h.clearUpdateRanges(); + } + m.count !== -1 && (t ? i.bufferSubData( + d, + m.offset * p.BYTES_PER_ELEMENT, + p, + m.offset, + m.count + ) : i.bufferSubData( + d, + m.offset * p.BYTES_PER_ELEMENT, + p.subarray(m.offset, m.offset + m.count) + ), m.count = -1), h.onUploadCallback(); + } + function o(c) { + return c.isInterleavedBufferAttribute && (c = c.data), n.get(c); + } + function a(c) { + c.isInterleavedBufferAttribute && (c = c.data); + const h = n.get(c); + h && (i.deleteBuffer(h.buffer), n.delete(c)); + } + function l(c, h) { + if (c.isGLBufferAttribute) { + const p = n.get(c); + (!p || p.version < c.version) && n.set(c, { + buffer: c.buffer, + type: c.type, + bytesPerElement: c.elementSize, + version: c.version + }); + return; + } + c.isInterleavedBufferAttribute && (c = c.data); + const d = n.get(c); + if (d === void 0) + n.set(c, r(c, h)); + else if (d.version < c.version) { + if (d.size !== c.array.byteLength) + throw new Error("THREE.WebGLAttributes: The size of the buffer attribute's array buffer does not match the original size. Resizing buffer attributes is not supported."); + s(d.buffer, c, h), d.version = c.version; + } + } + return { + get: o, + remove: a, + update: l + }; +} +class us extends hn { + constructor(e = 1, t = 1, n = 1, r = 1) { + super(), this.type = "PlaneGeometry", this.parameters = { + width: e, + height: t, + widthSegments: n, + heightSegments: r + }; + const s = e / 2, o = t / 2, a = Math.floor(n), l = Math.floor(r), c = a + 1, h = l + 1, d = e / a, p = t / l, m = [], g = [], v = [], f = []; + for (let u = 0; u < h; u++) { + const b = u * p - o; + for (let S = 0; S < c; S++) { + const R = S * d - s; + g.push(R, -b, 0), v.push(0, 0, 1), f.push(S / a), f.push(1 - u / l); + } + } + for (let u = 0; u < l; u++) + for (let b = 0; b < a; b++) { + const S = b + c * u, R = b + c * (u + 1), D = b + 1 + c * (u + 1), C = b + 1 + c * u; + m.push(S, R, C), m.push(R, D, C); + } + this.setIndex(m), this.setAttribute("position", new Ht(g, 3)), this.setAttribute("normal", new Ht(v, 3)), this.setAttribute("uv", new Ht(f, 2)); + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new us(e.width, e.height, e.widthSegments, e.heightSegments); + } +} +var xc = `#ifdef USE_ALPHAHASH + if ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard; +#endif`, Mc = `#ifdef USE_ALPHAHASH + const float ALPHA_HASH_SCALE = 0.05; + float hash2D( vec2 value ) { + return fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) ); + } + float hash3D( vec3 value ) { + return hash2D( vec2( hash2D( value.xy ), value.z ) ); + } + float getAlphaHashThreshold( vec3 position ) { + float maxDeriv = max( + length( dFdx( position.xyz ) ), + length( dFdy( position.xyz ) ) + ); + float pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv ); + vec2 pixScales = vec2( + exp2( floor( log2( pixScale ) ) ), + exp2( ceil( log2( pixScale ) ) ) + ); + vec2 alpha = vec2( + hash3D( floor( pixScales.x * position.xyz ) ), + hash3D( floor( pixScales.y * position.xyz ) ) + ); + float lerpFactor = fract( log2( pixScale ) ); + float x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y; + float a = min( lerpFactor, 1.0 - lerpFactor ); + vec3 cases = vec3( + x * x / ( 2.0 * a * ( 1.0 - a ) ), + ( x - 0.5 * a ) / ( 1.0 - a ), + 1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) ) + ); + float threshold = ( x < ( 1.0 - a ) ) + ? ( ( x < a ) ? cases.x : cases.y ) + : cases.z; + return clamp( threshold , 1.0e-6, 1.0 ); + } +#endif`, Sc = `#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g; +#endif`, Ec = `#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`, yc = `#ifdef USE_ALPHATEST + if ( diffuseColor.a < alphaTest ) discard; +#endif`, Tc = `#ifdef USE_ALPHATEST + uniform float alphaTest; +#endif`, bc = `#ifdef USE_AOMAP + float ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0; + reflectedLight.indirectDiffuse *= ambientOcclusion; + #if defined( USE_CLEARCOAT ) + clearcoatSpecularIndirect *= ambientOcclusion; + #endif + #if defined( USE_SHEEN ) + sheenSpecularIndirect *= ambientOcclusion; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) + float dotNV = saturate( dot( geometryNormal, geometryViewDir ) ); + reflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness ); + #endif +#endif`, Ac = `#ifdef USE_AOMAP + uniform sampler2D aoMap; + uniform float aoMapIntensity; +#endif`, wc = `#ifdef USE_BATCHING + attribute float batchId; + uniform highp sampler2D batchingTexture; + mat4 getBatchingMatrix( const in float i ) { + int size = textureSize( batchingTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`, Rc = `#ifdef USE_BATCHING + mat4 batchingMatrix = getBatchingMatrix( batchId ); +#endif`, Cc = `vec3 transformed = vec3( position ); +#ifdef USE_ALPHAHASH + vPosition = vec3( position ); +#endif`, Lc = `vec3 objectNormal = vec3( normal ); +#ifdef USE_TANGENT + vec3 objectTangent = vec3( tangent.xyz ); +#endif`, Pc = `float G_BlinnPhong_Implicit( ) { + return 0.25; +} +float D_BlinnPhong( const in float shininess, const in float dotNH ) { + return RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess ); +} +vec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( specularColor, 1.0, dotVH ); + float G = G_BlinnPhong_Implicit( ); + float D = D_BlinnPhong( shininess, dotNH ); + return F * ( G * D ); +} // validated`, Dc = `#ifdef USE_IRIDESCENCE + const mat3 XYZ_TO_REC709 = mat3( + 3.2404542, -0.9692660, 0.0556434, + -1.5371385, 1.8760108, -0.2040259, + -0.4985314, 0.0415560, 1.0572252 + ); + vec3 Fresnel0ToIor( vec3 fresnel0 ) { + vec3 sqrtF0 = sqrt( fresnel0 ); + return ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 ); + } + vec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) { + return pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) ); + } + float IorToFresnel0( float transmittedIor, float incidentIor ) { + return pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor )); + } + vec3 evalSensitivity( float OPD, vec3 shift ) { + float phase = 2.0 * PI * OPD * 1.0e-9; + vec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 ); + vec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 ); + vec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 ); + vec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var ); + xyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) ); + xyz /= 1.0685e-7; + vec3 rgb = XYZ_TO_REC709 * xyz; + return rgb; + } + vec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) { + vec3 I; + float iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) ); + float sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) ); + float cosTheta2Sq = 1.0 - sinTheta2Sq; + if ( cosTheta2Sq < 0.0 ) { + return vec3( 1.0 ); + } + float cosTheta2 = sqrt( cosTheta2Sq ); + float R0 = IorToFresnel0( iridescenceIOR, outsideIOR ); + float R12 = F_Schlick( R0, 1.0, cosTheta1 ); + float T121 = 1.0 - R12; + float phi12 = 0.0; + if ( iridescenceIOR < outsideIOR ) phi12 = PI; + float phi21 = PI - phi12; + vec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) ); vec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR ); + vec3 R23 = F_Schlick( R1, 1.0, cosTheta2 ); + vec3 phi23 = vec3( 0.0 ); + if ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI; + if ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI; + if ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI; + float OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2; + vec3 phi = vec3( phi21 ) + phi23; + vec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 ); + vec3 r123 = sqrt( R123 ); + vec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 ); + vec3 C0 = R12 + Rs; + I = C0; + vec3 Cm = Rs - T121; + for ( int m = 1; m <= 2; ++ m ) { + Cm *= r123; + vec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi ); + I += Cm * Sm; + } + return max( I, vec3( 0.0 ) ); + } +#endif`, Uc = `#ifdef USE_BUMPMAP + uniform sampler2D bumpMap; + uniform float bumpScale; + vec2 dHdxy_fwd() { + vec2 dSTdx = dFdx( vBumpMapUv ); + vec2 dSTdy = dFdy( vBumpMapUv ); + float Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x; + float dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll; + float dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll; + return vec2( dBx, dBy ); + } + vec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) { + vec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) ); + vec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) ); + vec3 vN = surf_norm; + vec3 R1 = cross( vSigmaY, vN ); + vec3 R2 = cross( vN, vSigmaX ); + float fDet = dot( vSigmaX, R1 ) * faceDirection; + vec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 ); + return normalize( abs( fDet ) * surf_norm - vGrad ); + } +#endif`, Ic = `#if NUM_CLIPPING_PLANES > 0 + vec4 plane; + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + bool clipped = true; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped; + } + #pragma unroll_loop_end + if ( clipped ) discard; + #endif +#endif`, Nc = `#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; + uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ]; +#endif`, Fc = `#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; +#endif`, Oc = `#if NUM_CLIPPING_PLANES > 0 + vClipPosition = - mvPosition.xyz; +#endif`, Bc = `#if defined( USE_COLOR_ALPHA ) + diffuseColor *= vColor; +#elif defined( USE_COLOR ) + diffuseColor.rgb *= vColor; +#endif`, zc = `#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) + varying vec3 vColor; +#endif`, Gc = `#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) + varying vec3 vColor; +#endif`, Hc = `#if defined( USE_COLOR_ALPHA ) + vColor = vec4( 1.0 ); +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) + vColor = vec3( 1.0 ); +#endif +#ifdef USE_COLOR + vColor *= color; +#endif +#ifdef USE_INSTANCING_COLOR + vColor.xyz *= instanceColor.xyz; +#endif`, Vc = `#define PI 3.141592653589793 +#define PI2 6.283185307179586 +#define PI_HALF 1.5707963267948966 +#define RECIPROCAL_PI 0.3183098861837907 +#define RECIPROCAL_PI2 0.15915494309189535 +#define EPSILON 1e-6 +#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +#define whiteComplement( a ) ( 1.0 - saturate( a ) ) +float pow2( const in float x ) { return x*x; } +vec3 pow2( const in vec3 x ) { return x*x; } +float pow3( const in float x ) { return x*x*x; } +float pow4( const in float x ) { float x2 = x*x; return x2*x2; } +float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); } +float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); } +highp float rand( const in vec2 uv ) { + const highp float a = 12.9898, b = 78.233, c = 43758.5453; + highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI ); + return fract( sin( sn ) * c ); +} +#ifdef HIGH_PRECISION + float precisionSafeLength( vec3 v ) { return length( v ); } +#else + float precisionSafeLength( vec3 v ) { + float maxComponent = max3( abs( v ) ); + return length( v / maxComponent ) * maxComponent; + } +#endif +struct IncidentLight { + vec3 color; + vec3 direction; + bool visible; +}; +struct ReflectedLight { + vec3 directDiffuse; + vec3 directSpecular; + vec3 indirectDiffuse; + vec3 indirectSpecular; +}; +#ifdef USE_ALPHAHASH + varying vec3 vPosition; +#endif +vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); +} +vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz ); +} +mat3 transposeMat3( const in mat3 m ) { + mat3 tmp; + tmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x ); + tmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y ); + tmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z ); + return tmp; +} +float luminance( const in vec3 rgb ) { + const vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 ); + return dot( weights, rgb ); +} +bool isPerspectiveMatrix( mat4 m ) { + return m[ 2 ][ 3 ] == - 1.0; +} +vec2 equirectUv( in vec3 dir ) { + float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5; + float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5; + return vec2( u, v ); +} +vec3 BRDF_Lambert( const in vec3 diffuseColor ) { + return RECIPROCAL_PI * diffuseColor; +} +vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} +float F_Schlick( const in float f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} // validated`, kc = `#ifdef ENVMAP_TYPE_CUBE_UV + #define cubeUV_minMipLevel 4.0 + #define cubeUV_minTileSize 16.0 + float getFace( vec3 direction ) { + vec3 absDirection = abs( direction ); + float face = - 1.0; + if ( absDirection.x > absDirection.z ) { + if ( absDirection.x > absDirection.y ) + face = direction.x > 0.0 ? 0.0 : 3.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } else { + if ( absDirection.z > absDirection.y ) + face = direction.z > 0.0 ? 2.0 : 5.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } + return face; + } + vec2 getUV( vec3 direction, float face ) { + vec2 uv; + if ( face == 0.0 ) { + uv = vec2( direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 1.0 ) { + uv = vec2( - direction.x, - direction.z ) / abs( direction.y ); + } else if ( face == 2.0 ) { + uv = vec2( - direction.x, direction.y ) / abs( direction.z ); + } else if ( face == 3.0 ) { + uv = vec2( - direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 4.0 ) { + uv = vec2( - direction.x, direction.z ) / abs( direction.y ); + } else { + uv = vec2( direction.x, direction.y ) / abs( direction.z ); + } + return 0.5 * ( uv + 1.0 ); + } + vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) { + float face = getFace( direction ); + float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 ); + mipInt = max( mipInt, cubeUV_minMipLevel ); + float faceSize = exp2( mipInt ); + highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0; + if ( face > 2.0 ) { + uv.y += faceSize; + face -= 3.0; + } + uv.x += face * faceSize; + uv.x += filterInt * 3.0 * cubeUV_minTileSize; + uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize ); + uv.x *= CUBEUV_TEXEL_WIDTH; + uv.y *= CUBEUV_TEXEL_HEIGHT; + #ifdef texture2DGradEXT + return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb; + #else + return texture2D( envMap, uv ).rgb; + #endif + } + #define cubeUV_r0 1.0 + #define cubeUV_m0 - 2.0 + #define cubeUV_r1 0.8 + #define cubeUV_m1 - 1.0 + #define cubeUV_r4 0.4 + #define cubeUV_m4 2.0 + #define cubeUV_r5 0.305 + #define cubeUV_m5 3.0 + #define cubeUV_r6 0.21 + #define cubeUV_m6 4.0 + float roughnessToMip( float roughness ) { + float mip = 0.0; + if ( roughness >= cubeUV_r1 ) { + mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0; + } else if ( roughness >= cubeUV_r4 ) { + mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1; + } else if ( roughness >= cubeUV_r5 ) { + mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4; + } else if ( roughness >= cubeUV_r6 ) { + mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5; + } else { + mip = - 2.0 * log2( 1.16 * roughness ); } + return mip; + } + vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) { + float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP ); + float mipF = fract( mip ); + float mipInt = floor( mip ); + vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt ); + if ( mipF == 0.0 ) { + return vec4( color0, 1.0 ); + } else { + vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 ); + return vec4( mix( color0, color1, mipF ), 1.0 ); + } + } +#endif`, Wc = `vec3 transformedNormal = objectNormal; +#ifdef USE_TANGENT + vec3 transformedTangent = objectTangent; +#endif +#ifdef USE_BATCHING + mat3 bm = mat3( batchingMatrix ); + transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) ); + transformedNormal = bm * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = bm * transformedTangent; + #endif +#endif +#ifdef USE_INSTANCING + mat3 im = mat3( instanceMatrix ); + transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) ); + transformedNormal = im * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = im * transformedTangent; + #endif +#endif +transformedNormal = normalMatrix * transformedNormal; +#ifdef FLIP_SIDED + transformedNormal = - transformedNormal; +#endif +#ifdef USE_TANGENT + transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz; + #ifdef FLIP_SIDED + transformedTangent = - transformedTangent; + #endif +#endif`, Xc = `#ifdef USE_DISPLACEMENTMAP + uniform sampler2D displacementMap; + uniform float displacementScale; + uniform float displacementBias; +#endif`, qc = `#ifdef USE_DISPLACEMENTMAP + transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias ); +#endif`, Yc = `#ifdef USE_EMISSIVEMAP + vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv ); + totalEmissiveRadiance *= emissiveColor.rgb; +#endif`, jc = `#ifdef USE_EMISSIVEMAP + uniform sampler2D emissiveMap; +#endif`, Kc = "gl_FragColor = linearToOutputTexel( gl_FragColor );", Zc = ` +const mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3( + vec3( 0.8224621, 0.177538, 0.0 ), + vec3( 0.0331941, 0.9668058, 0.0 ), + vec3( 0.0170827, 0.0723974, 0.9105199 ) +); +const mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3( + vec3( 1.2249401, - 0.2249404, 0.0 ), + vec3( - 0.0420569, 1.0420571, 0.0 ), + vec3( - 0.0196376, - 0.0786361, 1.0982735 ) +); +vec4 LinearSRGBToLinearDisplayP3( in vec4 value ) { + return vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a ); +} +vec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) { + return vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a ); +} +vec4 LinearTransferOETF( in vec4 value ) { + return value; +} +vec4 sRGBTransferOETF( in vec4 value ) { + return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a ); +} +vec4 LinearToLinear( in vec4 value ) { + return value; +} +vec4 LinearTosRGB( in vec4 value ) { + return sRGBTransferOETF( value ); +}`, $c = `#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vec3 cameraToFrag; + if ( isOrthographic ) { + cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToFrag = normalize( vWorldPosition - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vec3 reflectVec = reflect( cameraToFrag, worldNormal ); + #else + vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio ); + #endif + #else + vec3 reflectVec = vReflect; + #endif + #ifdef ENVMAP_TYPE_CUBE + vec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) ); + #else + vec4 envColor = vec4( 0.0 ); + #endif + #ifdef ENVMAP_BLENDING_MULTIPLY + outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_MIX ) + outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_ADD ) + outgoingLight += envColor.xyz * specularStrength * reflectivity; + #endif +#endif`, Jc = `#ifdef USE_ENVMAP + uniform float envMapIntensity; + uniform float flipEnvMap; + #ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; + #else + uniform sampler2D envMap; + #endif + +#endif`, Qc = `#ifdef USE_ENVMAP + uniform float reflectivity; + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + varying vec3 vWorldPosition; + uniform float refractionRatio; + #else + varying vec3 vReflect; + #endif +#endif`, eu = `#ifdef USE_ENVMAP + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + + varying vec3 vWorldPosition; + #else + varying vec3 vReflect; + uniform float refractionRatio; + #endif +#endif`, tu = `#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vWorldPosition = worldPosition.xyz; + #else + vec3 cameraToVertex; + if ( isOrthographic ) { + cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToVertex = normalize( worldPosition.xyz - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vReflect = reflect( cameraToVertex, worldNormal ); + #else + vReflect = refract( cameraToVertex, worldNormal, refractionRatio ); + #endif + #endif +#endif`, nu = `#ifdef USE_FOG + vFogDepth = - mvPosition.z; +#endif`, iu = `#ifdef USE_FOG + varying float vFogDepth; +#endif`, ru = `#ifdef USE_FOG + #ifdef FOG_EXP2 + float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth ); + #else + float fogFactor = smoothstep( fogNear, fogFar, vFogDepth ); + #endif + gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor ); +#endif`, su = `#ifdef USE_FOG + uniform vec3 fogColor; + varying float vFogDepth; + #ifdef FOG_EXP2 + uniform float fogDensity; + #else + uniform float fogNear; + uniform float fogFar; + #endif +#endif`, au = `#ifdef USE_GRADIENTMAP + uniform sampler2D gradientMap; +#endif +vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) { + float dotNL = dot( normal, lightDirection ); + vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 ); + #ifdef USE_GRADIENTMAP + return vec3( texture2D( gradientMap, coord ).r ); + #else + vec2 fw = fwidth( coord ) * 0.5; + return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) ); + #endif +}`, ou = `#ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + reflectedLight.indirectDiffuse += lightMapIrradiance; +#endif`, lu = `#ifdef USE_LIGHTMAP + uniform sampler2D lightMap; + uniform float lightMapIntensity; +#endif`, cu = `LambertMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularStrength = specularStrength;`, uu = `varying vec3 vViewPosition; +struct LambertMaterial { + vec3 diffuseColor; + float specularStrength; +}; +void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Lambert +#define RE_IndirectDiffuse RE_IndirectDiffuse_Lambert`, hu = `uniform bool receiveShadow; +uniform vec3 ambientLightColor; +#if defined( USE_LIGHT_PROBES ) + uniform vec3 lightProbe[ 9 ]; +#endif +vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) { + float x = normal.x, y = normal.y, z = normal.z; + vec3 result = shCoefficients[ 0 ] * 0.886227; + result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y; + result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z; + result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x; + result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y; + result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z; + result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 ); + result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z; + result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y ); + return result; +} +vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) { + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe ); + return irradiance; +} +vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) { + vec3 irradiance = ambientLightColor; + return irradiance; +} +float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) { + #if defined ( LEGACY_LIGHTS ) + if ( cutoffDistance > 0.0 && decayExponent > 0.0 ) { + return pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent ); + } + return 1.0; + #else + float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 ); + if ( cutoffDistance > 0.0 ) { + distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) ); + } + return distanceFalloff; + #endif +} +float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) { + return smoothstep( coneCosine, penumbraCosine, angleCosine ); +} +#if NUM_DIR_LIGHTS > 0 + struct DirectionalLight { + vec3 direction; + vec3 color; + }; + uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ]; + void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) { + light.color = directionalLight.color; + light.direction = directionalLight.direction; + light.visible = true; + } +#endif +#if NUM_POINT_LIGHTS > 0 + struct PointLight { + vec3 position; + vec3 color; + float distance; + float decay; + }; + uniform PointLight pointLights[ NUM_POINT_LIGHTS ]; + void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = pointLight.position - geometryPosition; + light.direction = normalize( lVector ); + float lightDistance = length( lVector ); + light.color = pointLight.color; + light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } +#endif +#if NUM_SPOT_LIGHTS > 0 + struct SpotLight { + vec3 position; + vec3 direction; + vec3 color; + float distance; + float decay; + float coneCos; + float penumbraCos; + }; + uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ]; + void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = spotLight.position - geometryPosition; + light.direction = normalize( lVector ); + float angleCos = dot( light.direction, spotLight.direction ); + float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos ); + if ( spotAttenuation > 0.0 ) { + float lightDistance = length( lVector ); + light.color = spotLight.color * spotAttenuation; + light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } else { + light.color = vec3( 0.0 ); + light.visible = false; + } + } +#endif +#if NUM_RECT_AREA_LIGHTS > 0 + struct RectAreaLight { + vec3 color; + vec3 position; + vec3 halfWidth; + vec3 halfHeight; + }; + uniform sampler2D ltc_1; uniform sampler2D ltc_2; + uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ]; +#endif +#if NUM_HEMI_LIGHTS > 0 + struct HemisphereLight { + vec3 direction; + vec3 skyColor; + vec3 groundColor; + }; + uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ]; + vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) { + float dotNL = dot( normal, hemiLight.direction ); + float hemiDiffuseWeight = 0.5 * dotNL + 0.5; + vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight ); + return irradiance; + } +#endif`, du = `#ifdef USE_ENVMAP + vec3 getIBLIrradiance( const in vec3 normal ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 ); + return PI * envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 reflectVec = reflect( - viewDir, normal ); + reflectVec = normalize( mix( reflectVec, normal, roughness * roughness) ); + reflectVec = inverseTransformDirection( reflectVec, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness ); + return envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + #ifdef USE_ANISOTROPY + vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 bentNormal = cross( bitangent, viewDir ); + bentNormal = normalize( cross( bentNormal, bitangent ) ); + bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) ); + return getIBLRadiance( viewDir, bentNormal, roughness ); + #else + return vec3( 0.0 ); + #endif + } + #endif +#endif`, fu = `ToonMaterial material; +material.diffuseColor = diffuseColor.rgb;`, pu = `varying vec3 vViewPosition; +struct ToonMaterial { + vec3 diffuseColor; +}; +void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Toon +#define RE_IndirectDiffuse RE_IndirectDiffuse_Toon`, mu = `BlinnPhongMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularColor = specular; +material.specularShininess = shininess; +material.specularStrength = specularStrength;`, _u = `varying vec3 vViewPosition; +struct BlinnPhongMaterial { + vec3 diffuseColor; + vec3 specularColor; + float specularShininess; + float specularStrength; +}; +void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); + reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength; +} +void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_BlinnPhong +#define RE_IndirectDiffuse RE_IndirectDiffuse_BlinnPhong`, gu = `PhysicalMaterial material; +material.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor ); +vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) ); +float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z ); +material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness; +material.roughness = min( material.roughness, 1.0 ); +#ifdef IOR + material.ior = ior; + #ifdef USE_SPECULAR + float specularIntensityFactor = specularIntensity; + vec3 specularColorFactor = specularColor; + #ifdef USE_SPECULAR_COLORMAP + specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a; + #endif + material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor ); + #else + float specularIntensityFactor = 1.0; + vec3 specularColorFactor = vec3( 1.0 ); + material.specularF90 = 1.0; + #endif + material.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor ); +#else + material.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor ); + material.specularF90 = 1.0; +#endif +#ifdef USE_CLEARCOAT + material.clearcoat = clearcoat; + material.clearcoatRoughness = clearcoatRoughness; + material.clearcoatF0 = vec3( 0.04 ); + material.clearcoatF90 = 1.0; + #ifdef USE_CLEARCOATMAP + material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x; + #endif + #ifdef USE_CLEARCOAT_ROUGHNESSMAP + material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y; + #endif + material.clearcoat = saturate( material.clearcoat ); material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 ); + material.clearcoatRoughness += geometryRoughness; + material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 ); +#endif +#ifdef USE_IRIDESCENCE + material.iridescence = iridescence; + material.iridescenceIOR = iridescenceIOR; + #ifdef USE_IRIDESCENCEMAP + material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r; + #endif + #ifdef USE_IRIDESCENCE_THICKNESSMAP + material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum; + #else + material.iridescenceThickness = iridescenceThicknessMaximum; + #endif +#endif +#ifdef USE_SHEEN + material.sheenColor = sheenColor; + #ifdef USE_SHEEN_COLORMAP + material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb; + #endif + material.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 ); + #ifdef USE_SHEEN_ROUGHNESSMAP + material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a; + #endif +#endif +#ifdef USE_ANISOTROPY + #ifdef USE_ANISOTROPYMAP + mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x ); + vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb; + vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b; + #else + vec2 anisotropyV = anisotropyVector; + #endif + material.anisotropy = length( anisotropyV ); + if( material.anisotropy == 0.0 ) { + anisotropyV = vec2( 1.0, 0.0 ); + } else { + anisotropyV /= material.anisotropy; + material.anisotropy = saturate( material.anisotropy ); + } + material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) ); + material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y; + material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y; +#endif`, vu = `struct PhysicalMaterial { + vec3 diffuseColor; + float roughness; + vec3 specularColor; + float specularF90; + #ifdef USE_CLEARCOAT + float clearcoat; + float clearcoatRoughness; + vec3 clearcoatF0; + float clearcoatF90; + #endif + #ifdef USE_IRIDESCENCE + float iridescence; + float iridescenceIOR; + float iridescenceThickness; + vec3 iridescenceFresnel; + vec3 iridescenceF0; + #endif + #ifdef USE_SHEEN + vec3 sheenColor; + float sheenRoughness; + #endif + #ifdef IOR + float ior; + #endif + #ifdef USE_TRANSMISSION + float transmission; + float transmissionAlpha; + float thickness; + float attenuationDistance; + vec3 attenuationColor; + #endif + #ifdef USE_ANISOTROPY + float anisotropy; + float alphaT; + vec3 anisotropyT; + vec3 anisotropyB; + #endif +}; +vec3 clearcoatSpecularDirect = vec3( 0.0 ); +vec3 clearcoatSpecularIndirect = vec3( 0.0 ); +vec3 sheenSpecularDirect = vec3( 0.0 ); +vec3 sheenSpecularIndirect = vec3(0.0 ); +vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) { + float x = clamp( 1.0 - dotVH, 0.0, 1.0 ); + float x2 = x * x; + float x5 = clamp( x * x2 * x2, 0.0, 0.9999 ); + return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 ); +} +float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) { + float a2 = pow2( alpha ); + float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) ); + float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) ); + return 0.5 / max( gv + gl, EPSILON ); +} +float D_GGX( const in float alpha, const in float dotNH ) { + float a2 = pow2( alpha ); + float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; + return RECIPROCAL_PI * a2 / pow2( denom ); +} +#ifdef USE_ANISOTROPY + float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) { + float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) ); + float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) ); + float v = 0.5 / ( gv + gl ); + return saturate(v); + } + float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) { + float a2 = alphaT * alphaB; + highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH ); + highp float v2 = dot( v, v ); + float w2 = a2 / v2; + return RECIPROCAL_PI * a2 * pow2 ( w2 ); + } +#endif +#ifdef USE_CLEARCOAT + vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) { + vec3 f0 = material.clearcoatF0; + float f90 = material.clearcoatF90; + float roughness = material.clearcoatRoughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + return F * ( V * D ); + } +#endif +vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 f0 = material.specularColor; + float f90 = material.specularF90; + float roughness = material.roughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + #ifdef USE_IRIDESCENCE + F = mix( F, material.iridescenceFresnel, material.iridescence ); + #endif + #ifdef USE_ANISOTROPY + float dotTL = dot( material.anisotropyT, lightDir ); + float dotTV = dot( material.anisotropyT, viewDir ); + float dotTH = dot( material.anisotropyT, halfDir ); + float dotBL = dot( material.anisotropyB, lightDir ); + float dotBV = dot( material.anisotropyB, viewDir ); + float dotBH = dot( material.anisotropyB, halfDir ); + float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL ); + float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH ); + #else + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + #endif + return F * ( V * D ); +} +vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) { + const float LUT_SIZE = 64.0; + const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE; + const float LUT_BIAS = 0.5 / LUT_SIZE; + float dotNV = saturate( dot( N, V ) ); + vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) ); + uv = uv * LUT_SCALE + LUT_BIAS; + return uv; +} +float LTC_ClippedSphereFormFactor( const in vec3 f ) { + float l = length( f ); + return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 ); +} +vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) { + float x = dot( v1, v2 ); + float y = abs( x ); + float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y; + float b = 3.4175940 + ( 4.1616724 + y ) * y; + float v = a / b; + float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v; + return cross( v1, v2 ) * theta_sintheta; +} +vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) { + vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ]; + vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ]; + vec3 lightNormal = cross( v1, v2 ); + if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 ); + vec3 T1, T2; + T1 = normalize( V - N * dot( V, N ) ); + T2 = - cross( N, T1 ); + mat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) ); + vec3 coords[ 4 ]; + coords[ 0 ] = mat * ( rectCoords[ 0 ] - P ); + coords[ 1 ] = mat * ( rectCoords[ 1 ] - P ); + coords[ 2 ] = mat * ( rectCoords[ 2 ] - P ); + coords[ 3 ] = mat * ( rectCoords[ 3 ] - P ); + coords[ 0 ] = normalize( coords[ 0 ] ); + coords[ 1 ] = normalize( coords[ 1 ] ); + coords[ 2 ] = normalize( coords[ 2 ] ); + coords[ 3 ] = normalize( coords[ 3 ] ); + vec3 vectorFormFactor = vec3( 0.0 ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] ); + float result = LTC_ClippedSphereFormFactor( vectorFormFactor ); + return vec3( result ); +} +#if defined( USE_SHEEN ) +float D_Charlie( float roughness, float dotNH ) { + float alpha = pow2( roughness ); + float invAlpha = 1.0 / alpha; + float cos2h = dotNH * dotNH; + float sin2h = max( 1.0 - cos2h, 0.0078125 ); + return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI ); +} +float V_Neubelt( float dotNV, float dotNL ) { + return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) ); +} +vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float D = D_Charlie( sheenRoughness, dotNH ); + float V = V_Neubelt( dotNV, dotNL ); + return sheenColor * ( D * V ); +} +#endif +float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + float r2 = roughness * roughness; + float a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95; + float b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72; + float DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) ); + return saturate( DG * RECIPROCAL_PI ); +} +vec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + const vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 ); + const vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 ); + vec4 r = roughness * c0 + c1; + float a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y; + vec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw; + return fab; +} +vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) { + vec2 fab = DFGApprox( normal, viewDir, roughness ); + return specularColor * fab.x + specularF90 * fab.y; +} +#ifdef USE_IRIDESCENCE +void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#else +void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#endif + vec2 fab = DFGApprox( normal, viewDir, roughness ); + #ifdef USE_IRIDESCENCE + vec3 Fr = mix( specularColor, iridescenceF0, iridescence ); + #else + vec3 Fr = specularColor; + #endif + vec3 FssEss = Fr * fab.x + specularF90 * fab.y; + float Ess = fab.x + fab.y; + float Ems = 1.0 - Ess; + vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619; vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg ); + singleScatter += FssEss; + multiScatter += Fms * Ems; +} +#if NUM_RECT_AREA_LIGHTS > 0 + void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 normal = geometryNormal; + vec3 viewDir = geometryViewDir; + vec3 position = geometryPosition; + vec3 lightPos = rectAreaLight.position; + vec3 halfWidth = rectAreaLight.halfWidth; + vec3 halfHeight = rectAreaLight.halfHeight; + vec3 lightColor = rectAreaLight.color; + float roughness = material.roughness; + vec3 rectCoords[ 4 ]; + rectCoords[ 0 ] = lightPos + halfWidth - halfHeight; rectCoords[ 1 ] = lightPos - halfWidth - halfHeight; + rectCoords[ 2 ] = lightPos - halfWidth + halfHeight; + rectCoords[ 3 ] = lightPos + halfWidth + halfHeight; + vec2 uv = LTC_Uv( normal, viewDir, roughness ); + vec4 t1 = texture2D( ltc_1, uv ); + vec4 t2 = texture2D( ltc_2, uv ); + mat3 mInv = mat3( + vec3( t1.x, 0, t1.y ), + vec3( 0, 1, 0 ), + vec3( t1.z, 0, t1.w ) + ); + vec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y ); + reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords ); + reflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords ); + } +#endif +void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + #ifdef USE_CLEARCOAT + float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) ); + vec3 ccIrradiance = dotNLcc * directLight.color; + clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material ); + #endif + #ifdef USE_SHEEN + sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness ); + #endif + reflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material ); + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) { + #ifdef USE_CLEARCOAT + clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness ); + #endif + #ifdef USE_SHEEN + sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + #endif + vec3 singleScattering = vec3( 0.0 ); + vec3 multiScattering = vec3( 0.0 ); + vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI; + #ifdef USE_IRIDESCENCE + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering ); + #else + computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering ); + #endif + vec3 totalScattering = singleScattering + multiScattering; + vec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) ); + reflectedLight.indirectSpecular += radiance * singleScattering; + reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance; + reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance; +} +#define RE_Direct RE_Direct_Physical +#define RE_Direct_RectArea RE_Direct_RectArea_Physical +#define RE_IndirectDiffuse RE_IndirectDiffuse_Physical +#define RE_IndirectSpecular RE_IndirectSpecular_Physical +float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) { + return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion ); +}`, xu = ` +vec3 geometryPosition = - vViewPosition; +vec3 geometryNormal = normal; +vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition ); +vec3 geometryClearcoatNormal = vec3( 0.0 ); +#ifdef USE_CLEARCOAT + geometryClearcoatNormal = clearcoatNormal; +#endif +#ifdef USE_IRIDESCENCE + float dotNVi = saturate( dot( normal, geometryViewDir ) ); + if ( material.iridescenceThickness == 0.0 ) { + material.iridescence = 0.0; + } else { + material.iridescence = saturate( material.iridescence ); + } + if ( material.iridescence > 0.0 ) { + material.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor ); + material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi ); + } +#endif +IncidentLight directLight; +#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct ) + PointLight pointLight; + #if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) { + pointLight = pointLights[ i ]; + getPointLightInfo( pointLight, geometryPosition, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS ) + pointLightShadow = pointLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct ) + SpotLight spotLight; + vec4 spotColor; + vec3 spotLightCoord; + bool inSpotLightMap; + #if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) { + spotLight = spotLights[ i ]; + getSpotLightInfo( spotLight, geometryPosition, directLight ); + #if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX + #elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + #define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS + #else + #define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #endif + #if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS ) + spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w; + inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) ); + spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy ); + directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color; + #endif + #undef SPOT_LIGHT_MAP_INDEX + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + spotLightShadow = spotLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct ) + DirectionalLight directionalLight; + #if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) { + directionalLight = directionalLights[ i ]; + getDirectionalLightInfo( directionalLight, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS ) + directionalLightShadow = directionalLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea ) + RectAreaLight rectAreaLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) { + rectAreaLight = rectAreaLights[ i ]; + RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if defined( RE_IndirectDiffuse ) + vec3 iblIrradiance = vec3( 0.0 ); + vec3 irradiance = getAmbientLightIrradiance( ambientLightColor ); + #if defined( USE_LIGHT_PROBES ) + irradiance += getLightProbeIrradiance( lightProbe, geometryNormal ); + #endif + #if ( NUM_HEMI_LIGHTS > 0 ) + #pragma unroll_loop_start + for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) { + irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal ); + } + #pragma unroll_loop_end + #endif +#endif +#if defined( RE_IndirectSpecular ) + vec3 radiance = vec3( 0.0 ); + vec3 clearcoatRadiance = vec3( 0.0 ); +#endif`, Mu = `#if defined( RE_IndirectDiffuse ) + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + irradiance += lightMapIrradiance; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV ) + iblIrradiance += getIBLIrradiance( geometryNormal ); + #endif +#endif +#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular ) + #ifdef USE_ANISOTROPY + radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy ); + #else + radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness ); + #endif + #ifdef USE_CLEARCOAT + clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness ); + #endif +#endif`, Su = `#if defined( RE_IndirectDiffuse ) + RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif +#if defined( RE_IndirectSpecular ) + RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif`, Eu = `#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT ) + gl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5; +#endif`, yu = `#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT ) + uniform float logDepthBufFC; + varying float vFragDepth; + varying float vIsPerspective; +#endif`, Tu = `#ifdef USE_LOGDEPTHBUF + #ifdef USE_LOGDEPTHBUF_EXT + varying float vFragDepth; + varying float vIsPerspective; + #else + uniform float logDepthBufFC; + #endif +#endif`, bu = `#ifdef USE_LOGDEPTHBUF + #ifdef USE_LOGDEPTHBUF_EXT + vFragDepth = 1.0 + gl_Position.w; + vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) ); + #else + if ( isPerspectiveMatrix( projectionMatrix ) ) { + gl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0; + gl_Position.z *= gl_Position.w; + } + #endif +#endif`, Au = `#ifdef USE_MAP + vec4 sampledDiffuseColor = texture2D( map, vMapUv ); + #ifdef DECODE_VIDEO_TEXTURE + sampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w ); + + #endif + diffuseColor *= sampledDiffuseColor; +#endif`, wu = `#ifdef USE_MAP + uniform sampler2D map; +#endif`, Ru = `#if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + #if defined( USE_POINTS_UV ) + vec2 uv = vUv; + #else + vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy; + #endif +#endif +#ifdef USE_MAP + diffuseColor *= texture2D( map, uv ); +#endif +#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, uv ).g; +#endif`, Cu = `#if defined( USE_POINTS_UV ) + varying vec2 vUv; +#else + #if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + uniform mat3 uvTransform; + #endif +#endif +#ifdef USE_MAP + uniform sampler2D map; +#endif +#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`, Lu = `float metalnessFactor = metalness; +#ifdef USE_METALNESSMAP + vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv ); + metalnessFactor *= texelMetalness.b; +#endif`, Pu = `#ifdef USE_METALNESSMAP + uniform sampler2D metalnessMap; +#endif`, Du = `#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE ) + vColor *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + #if defined( USE_COLOR_ALPHA ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ]; + #elif defined( USE_COLOR ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ]; + #endif + } +#endif`, Uu = `#ifdef USE_MORPHNORMALS + objectNormal *= morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ]; + } + #else + objectNormal += morphNormal0 * morphTargetInfluences[ 0 ]; + objectNormal += morphNormal1 * morphTargetInfluences[ 1 ]; + objectNormal += morphNormal2 * morphTargetInfluences[ 2 ]; + objectNormal += morphNormal3 * morphTargetInfluences[ 3 ]; + #endif +#endif`, Iu = `#ifdef USE_MORPHTARGETS + uniform float morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + uniform sampler2DArray morphTargetsTexture; + uniform ivec2 morphTargetsTextureSize; + vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) { + int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset; + int y = texelIndex / morphTargetsTextureSize.x; + int x = texelIndex - y * morphTargetsTextureSize.x; + ivec3 morphUV = ivec3( x, y, morphTargetIndex ); + return texelFetch( morphTargetsTexture, morphUV, 0 ); + } + #else + #ifndef USE_MORPHNORMALS + uniform float morphTargetInfluences[ 8 ]; + #else + uniform float morphTargetInfluences[ 4 ]; + #endif + #endif +#endif`, Nu = `#ifdef USE_MORPHTARGETS + transformed *= morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ]; + } + #else + transformed += morphTarget0 * morphTargetInfluences[ 0 ]; + transformed += morphTarget1 * morphTargetInfluences[ 1 ]; + transformed += morphTarget2 * morphTargetInfluences[ 2 ]; + transformed += morphTarget3 * morphTargetInfluences[ 3 ]; + #ifndef USE_MORPHNORMALS + transformed += morphTarget4 * morphTargetInfluences[ 4 ]; + transformed += morphTarget5 * morphTargetInfluences[ 5 ]; + transformed += morphTarget6 * morphTargetInfluences[ 6 ]; + transformed += morphTarget7 * morphTargetInfluences[ 7 ]; + #endif + #endif +#endif`, Fu = `float faceDirection = gl_FrontFacing ? 1.0 : - 1.0; +#ifdef FLAT_SHADED + vec3 fdx = dFdx( vViewPosition ); + vec3 fdy = dFdy( vViewPosition ); + vec3 normal = normalize( cross( fdx, fdy ) ); +#else + vec3 normal = normalize( vNormal ); + #ifdef DOUBLE_SIDED + normal *= faceDirection; + #endif +#endif +#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) + #ifdef USE_TANGENT + mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn = getTangentFrame( - vViewPosition, normal, + #if defined( USE_NORMALMAP ) + vNormalMapUv + #elif defined( USE_CLEARCOAT_NORMALMAP ) + vClearcoatNormalMapUv + #else + vUv + #endif + ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn[0] *= faceDirection; + tbn[1] *= faceDirection; + #endif +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + #ifdef USE_TANGENT + mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn2[0] *= faceDirection; + tbn2[1] *= faceDirection; + #endif +#endif +vec3 nonPerturbedNormal = normal;`, Ou = `#ifdef USE_NORMALMAP_OBJECTSPACE + normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + #ifdef FLIP_SIDED + normal = - normal; + #endif + #ifdef DOUBLE_SIDED + normal = normal * faceDirection; + #endif + normal = normalize( normalMatrix * normal ); +#elif defined( USE_NORMALMAP_TANGENTSPACE ) + vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + mapN.xy *= normalScale; + normal = normalize( tbn * mapN ); +#elif defined( USE_BUMPMAP ) + normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection ); +#endif`, Bu = `#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`, zu = `#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`, Gu = `#ifndef FLAT_SHADED + vNormal = normalize( transformedNormal ); + #ifdef USE_TANGENT + vTangent = normalize( transformedTangent ); + vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w ); + #endif +#endif`, Hu = `#ifdef USE_NORMALMAP + uniform sampler2D normalMap; + uniform vec2 normalScale; +#endif +#ifdef USE_NORMALMAP_OBJECTSPACE + uniform mat3 normalMatrix; +#endif +#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) ) + mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) { + vec3 q0 = dFdx( eye_pos.xyz ); + vec3 q1 = dFdy( eye_pos.xyz ); + vec2 st0 = dFdx( uv.st ); + vec2 st1 = dFdy( uv.st ); + vec3 N = surf_norm; + vec3 q1perp = cross( q1, N ); + vec3 q0perp = cross( N, q0 ); + vec3 T = q1perp * st0.x + q0perp * st1.x; + vec3 B = q1perp * st0.y + q0perp * st1.y; + float det = max( dot( T, T ), dot( B, B ) ); + float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det ); + return mat3( T * scale, B * scale, N ); + } +#endif`, Vu = `#ifdef USE_CLEARCOAT + vec3 clearcoatNormal = nonPerturbedNormal; +#endif`, ku = `#ifdef USE_CLEARCOAT_NORMALMAP + vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0; + clearcoatMapN.xy *= clearcoatNormalScale; + clearcoatNormal = normalize( tbn2 * clearcoatMapN ); +#endif`, Wu = `#ifdef USE_CLEARCOATMAP + uniform sampler2D clearcoatMap; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform sampler2D clearcoatNormalMap; + uniform vec2 clearcoatNormalScale; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform sampler2D clearcoatRoughnessMap; +#endif`, Xu = `#ifdef USE_IRIDESCENCEMAP + uniform sampler2D iridescenceMap; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform sampler2D iridescenceThicknessMap; +#endif`, qu = `#ifdef OPAQUE +diffuseColor.a = 1.0; +#endif +#ifdef USE_TRANSMISSION +diffuseColor.a *= material.transmissionAlpha; +#endif +gl_FragColor = vec4( outgoingLight, diffuseColor.a );`, Yu = `vec3 packNormalToRGB( const in vec3 normal ) { + return normalize( normal ) * 0.5 + 0.5; +} +vec3 unpackRGBToNormal( const in vec3 rgb ) { + return 2.0 * rgb.xyz - 1.0; +} +const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.; +const vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. ); +const vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. ); +const float ShiftRight8 = 1. / 256.; +vec4 packDepthToRGBA( const in float v ) { + vec4 r = vec4( fract( v * PackFactors ), v ); + r.yzw -= r.xyz * ShiftRight8; return r * PackUpscale; +} +float unpackRGBAToDepth( const in vec4 v ) { + return dot( v, UnpackFactors ); +} +vec2 packDepthToRG( in highp float v ) { + return packDepthToRGBA( v ).yx; +} +float unpackRGToDepth( const in highp vec2 v ) { + return unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) ); +} +vec4 pack2HalfToRGBA( vec2 v ) { + vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) ); + return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w ); +} +vec2 unpackRGBATo2Half( vec4 v ) { + return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) ); +} +float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) { + return ( viewZ + near ) / ( near - far ); +} +float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) { + return depth * ( near - far ) - near; +} +float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) { + return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ ); +} +float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) { + return ( near * far ) / ( ( far - near ) * depth - far ); +}`, ju = `#ifdef PREMULTIPLIED_ALPHA + gl_FragColor.rgb *= gl_FragColor.a; +#endif`, Ku = `vec4 mvPosition = vec4( transformed, 1.0 ); +#ifdef USE_BATCHING + mvPosition = batchingMatrix * mvPosition; +#endif +#ifdef USE_INSTANCING + mvPosition = instanceMatrix * mvPosition; +#endif +mvPosition = modelViewMatrix * mvPosition; +gl_Position = projectionMatrix * mvPosition;`, Zu = `#ifdef DITHERING + gl_FragColor.rgb = dithering( gl_FragColor.rgb ); +#endif`, $u = `#ifdef DITHERING + vec3 dithering( vec3 color ) { + float grid_position = rand( gl_FragCoord.xy ); + vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 ); + dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position ); + return color + dither_shift_RGB; + } +#endif`, Ju = `float roughnessFactor = roughness; +#ifdef USE_ROUGHNESSMAP + vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv ); + roughnessFactor *= texelRoughness.g; +#endif`, Qu = `#ifdef USE_ROUGHNESSMAP + uniform sampler2D roughnessMap; +#endif`, eh = `#if NUM_SPOT_LIGHT_COORDS > 0 + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#if NUM_SPOT_LIGHT_MAPS > 0 + uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + struct SpotLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + float texture2DCompare( sampler2D depths, vec2 uv, float compare ) { + return step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) ); + } + vec2 texture2DDistribution( sampler2D shadow, vec2 uv ) { + return unpackRGBATo2Half( texture2D( shadow, uv ) ); + } + float VSMShadow (sampler2D shadow, vec2 uv, float compare ){ + float occlusion = 1.0; + vec2 distribution = texture2DDistribution( shadow, uv ); + float hard_shadow = step( compare , distribution.x ); + if (hard_shadow != 1.0 ) { + float distance = compare - distribution.x ; + float variance = max( 0.00000, distribution.y * distribution.y ); + float softness_probability = variance / (variance + distance * distance ); softness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 ); occlusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 ); + } + return occlusion; + } + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + #if defined( SHADOWMAP_TYPE_PCF ) + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float dx0 = - texelSize.x * shadowRadius; + float dy0 = - texelSize.y * shadowRadius; + float dx1 = + texelSize.x * shadowRadius; + float dy1 = + texelSize.y * shadowRadius; + float dx2 = dx0 / 2.0; + float dy2 = dy0 / 2.0; + float dx3 = dx1 / 2.0; + float dy3 = dy1 / 2.0; + shadow = ( + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z ) + ) * ( 1.0 / 17.0 ); + #elif defined( SHADOWMAP_TYPE_PCF_SOFT ) + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float dx = texelSize.x; + float dy = texelSize.y; + vec2 uv = shadowCoord.xy; + vec2 f = fract( uv * shadowMapSize + 0.5 ); + uv -= f * texelSize; + shadow = ( + texture2DCompare( shadowMap, uv, shadowCoord.z ) + + texture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) + + texture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) + + mix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ), + f.x ) + + mix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ), + f.x ) + + mix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ), + f.y ) + + mix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ), + f.y ) + + mix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ), + f.x ), + mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ), + f.x ), + f.y ) + ) * ( 1.0 / 9.0 ); + #elif defined( SHADOWMAP_TYPE_VSM ) + shadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z ); + #else + shadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ); + #endif + } + return shadow; + } + vec2 cubeToUV( vec3 v, float texelSizeY ) { + vec3 absV = abs( v ); + float scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) ); + absV *= scaleToCube; + v *= scaleToCube * ( 1.0 - 2.0 * texelSizeY ); + vec2 planar = v.xy; + float almostATexel = 1.5 * texelSizeY; + float almostOne = 1.0 - almostATexel; + if ( absV.z >= almostOne ) { + if ( v.z > 0.0 ) + planar.x = 4.0 - v.x; + } else if ( absV.x >= almostOne ) { + float signX = sign( v.x ); + planar.x = v.z * signX + 2.0 * signX; + } else if ( absV.y >= almostOne ) { + float signY = sign( v.y ); + planar.x = v.x + 2.0 * signY + 2.0; + planar.y = v.z * signY - 2.0; + } + return vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 ); + } + float getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + vec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) ); + vec3 lightToPosition = shadowCoord.xyz; + float dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear ); dp += shadowBias; + vec3 bd3D = normalize( lightToPosition ); + #if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM ) + vec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y; + return ( + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp ) + ) * ( 1.0 / 9.0 ); + #else + return texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ); + #endif + } +#endif`, th = `#if NUM_SPOT_LIGHT_COORDS > 0 + uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ]; + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + struct SpotLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif +#endif`, nh = `#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 ) + vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + vec4 shadowWorldPosition; +#endif +#if defined( USE_SHADOWMAP ) + #if NUM_DIR_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 ); + vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 ); + vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif +#endif +#if NUM_SPOT_LIGHT_COORDS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) { + shadowWorldPosition = worldPosition; + #if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias; + #endif + vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end +#endif`, ih = `float getShadowMask() { + float shadow = 1.0; + #ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + directionalLight = directionalLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) { + spotLight = spotLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + pointLight = pointLightShadows[ i ]; + shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0; + } + #pragma unroll_loop_end + #endif + #endif + return shadow; +}`, rh = `#ifdef USE_SKINNING + mat4 boneMatX = getBoneMatrix( skinIndex.x ); + mat4 boneMatY = getBoneMatrix( skinIndex.y ); + mat4 boneMatZ = getBoneMatrix( skinIndex.z ); + mat4 boneMatW = getBoneMatrix( skinIndex.w ); +#endif`, sh = `#ifdef USE_SKINNING + uniform mat4 bindMatrix; + uniform mat4 bindMatrixInverse; + uniform highp sampler2D boneTexture; + mat4 getBoneMatrix( const in float i ) { + int size = textureSize( boneTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`, ah = `#ifdef USE_SKINNING + vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 ); + vec4 skinned = vec4( 0.0 ); + skinned += boneMatX * skinVertex * skinWeight.x; + skinned += boneMatY * skinVertex * skinWeight.y; + skinned += boneMatZ * skinVertex * skinWeight.z; + skinned += boneMatW * skinVertex * skinWeight.w; + transformed = ( bindMatrixInverse * skinned ).xyz; +#endif`, oh = `#ifdef USE_SKINNING + mat4 skinMatrix = mat4( 0.0 ); + skinMatrix += skinWeight.x * boneMatX; + skinMatrix += skinWeight.y * boneMatY; + skinMatrix += skinWeight.z * boneMatZ; + skinMatrix += skinWeight.w * boneMatW; + skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix; + objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz; + #ifdef USE_TANGENT + objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz; + #endif +#endif`, lh = `float specularStrength; +#ifdef USE_SPECULARMAP + vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv ); + specularStrength = texelSpecular.r; +#else + specularStrength = 1.0; +#endif`, ch = `#ifdef USE_SPECULARMAP + uniform sampler2D specularMap; +#endif`, uh = `#if defined( TONE_MAPPING ) + gl_FragColor.rgb = toneMapping( gl_FragColor.rgb ); +#endif`, hh = `#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +uniform float toneMappingExposure; +vec3 LinearToneMapping( vec3 color ) { + return saturate( toneMappingExposure * color ); +} +vec3 ReinhardToneMapping( vec3 color ) { + color *= toneMappingExposure; + return saturate( color / ( vec3( 1.0 ) + color ) ); +} +vec3 OptimizedCineonToneMapping( vec3 color ) { + color *= toneMappingExposure; + color = max( vec3( 0.0 ), color - 0.004 ); + return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) ); +} +vec3 RRTAndODTFit( vec3 v ) { + vec3 a = v * ( v + 0.0245786 ) - 0.000090537; + vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081; + return a / b; +} +vec3 ACESFilmicToneMapping( vec3 color ) { + const mat3 ACESInputMat = mat3( + vec3( 0.59719, 0.07600, 0.02840 ), vec3( 0.35458, 0.90834, 0.13383 ), + vec3( 0.04823, 0.01566, 0.83777 ) + ); + const mat3 ACESOutputMat = mat3( + vec3( 1.60475, -0.10208, -0.00327 ), vec3( -0.53108, 1.10813, -0.07276 ), + vec3( -0.07367, -0.00605, 1.07602 ) + ); + color *= toneMappingExposure / 0.6; + color = ACESInputMat * color; + color = RRTAndODTFit( color ); + color = ACESOutputMat * color; + return saturate( color ); +} +const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3( + vec3( 1.6605, - 0.1246, - 0.0182 ), + vec3( - 0.5876, 1.1329, - 0.1006 ), + vec3( - 0.0728, - 0.0083, 1.1187 ) +); +const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3( + vec3( 0.6274, 0.0691, 0.0164 ), + vec3( 0.3293, 0.9195, 0.0880 ), + vec3( 0.0433, 0.0113, 0.8956 ) +); +vec3 agxDefaultContrastApprox( vec3 x ) { + vec3 x2 = x * x; + vec3 x4 = x2 * x2; + return + 15.5 * x4 * x2 + - 40.14 * x4 * x + + 31.96 * x4 + - 6.868 * x2 * x + + 0.4298 * x2 + + 0.1191 * x + - 0.00232; +} +vec3 AgXToneMapping( vec3 color ) { + const mat3 AgXInsetMatrix = mat3( + vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ), + vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ), + vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 ) + ); + const mat3 AgXOutsetMatrix = mat3( + vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ), + vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ), + vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 ) + ); + const float AgxMinEv = - 12.47393; const float AgxMaxEv = 4.026069; + color = LINEAR_SRGB_TO_LINEAR_REC2020 * color; + color *= toneMappingExposure; + color = AgXInsetMatrix * color; + color = max( color, 1e-10 ); color = log2( color ); + color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv ); + color = clamp( color, 0.0, 1.0 ); + color = agxDefaultContrastApprox( color ); + color = AgXOutsetMatrix * color; + color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) ); + color = LINEAR_REC2020_TO_LINEAR_SRGB * color; + return color; +} +vec3 CustomToneMapping( vec3 color ) { return color; }`, dh = `#ifdef USE_TRANSMISSION + material.transmission = transmission; + material.transmissionAlpha = 1.0; + material.thickness = thickness; + material.attenuationDistance = attenuationDistance; + material.attenuationColor = attenuationColor; + #ifdef USE_TRANSMISSIONMAP + material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + #endif + #ifdef USE_THICKNESSMAP + material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + #endif + vec3 pos = vWorldPosition; + vec3 v = normalize( cameraPosition - pos ); + vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec4 transmitted = getIBLVolumeRefraction( + n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, + pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness, + material.attenuationColor, material.attenuationDistance ); + material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission ); +#endif`, fh = `#ifdef USE_TRANSMISSION + uniform float transmission; + uniform float thickness; + uniform float attenuationDistance; + uniform vec3 attenuationColor; + #ifdef USE_TRANSMISSIONMAP + uniform sampler2D transmissionMap; + #endif + #ifdef USE_THICKNESSMAP + uniform sampler2D thicknessMap; + #endif + uniform vec2 transmissionSamplerSize; + uniform sampler2D transmissionSamplerMap; + uniform mat4 modelMatrix; + uniform mat4 projectionMatrix; + varying vec3 vWorldPosition; + float w0( float a ) { + return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + } + float w1( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); + } + float w2( float a ){ + return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + } + float w3( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * a ); + } + float g0( float a ) { + return w0( a ) + w1( a ); + } + float g1( float a ) { + return w2( a ) + w3( a ); + } + float h0( float a ) { + return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); + } + float h1( float a ) { + return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); + } + vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { + uv = uv * texelSize.zw + 0.5; + vec2 iuv = floor( uv ); + vec2 fuv = fract( uv ); + float g0x = g0( fuv.x ); + float g1x = g1( fuv.x ); + float h0x = h0( fuv.x ); + float h1x = h1( fuv.x ); + float h0y = h0( fuv.y ); + float h1y = h1( fuv.y ); + vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + + g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + } + vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { + vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); + vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); + vec2 fLodSizeInv = 1.0 / fLodSize; + vec2 cLodSizeInv = 1.0 / cLodSize; + vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); + vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); + return mix( fSample, cSample, fract( lod ) ); + } + vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { + vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + vec3 modelScale; + modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); + modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); + modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + return normalize( refractionVector ) * thickness * modelScale; + } + float applyIorToRoughness( const in float roughness, const in float ior ) { + return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); + } + vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); + return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + } + vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + if ( isinf( attenuationDistance ) ) { + return vec3( 1.0 ); + } else { + vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; + vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); return transmittance; + } + } + vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, + const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, + const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness, + const in vec3 attenuationColor, const in float attenuationDistance ) { + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); + vec3 attenuatedColor = transmittance * transmittedLight.rgb; + vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + } +#endif`, ph = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + varying vec2 vNormalMapUv; +#endif +#ifdef USE_EMISSIVEMAP + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_SPECULARMAP + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`, mh = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + uniform mat3 mapTransform; + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + uniform mat3 alphaMapTransform; + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + uniform mat3 lightMapTransform; + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + uniform mat3 aoMapTransform; + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + uniform mat3 bumpMapTransform; + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + uniform mat3 normalMapTransform; + varying vec2 vNormalMapUv; +#endif +#ifdef USE_DISPLACEMENTMAP + uniform mat3 displacementMapTransform; + varying vec2 vDisplacementMapUv; +#endif +#ifdef USE_EMISSIVEMAP + uniform mat3 emissiveMapTransform; + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + uniform mat3 metalnessMapTransform; + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + uniform mat3 roughnessMapTransform; + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + uniform mat3 anisotropyMapTransform; + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + uniform mat3 clearcoatMapTransform; + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform mat3 clearcoatNormalMapTransform; + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform mat3 clearcoatRoughnessMapTransform; + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + uniform mat3 sheenColorMapTransform; + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + uniform mat3 sheenRoughnessMapTransform; + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + uniform mat3 iridescenceMapTransform; + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform mat3 iridescenceThicknessMapTransform; + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SPECULARMAP + uniform mat3 specularMapTransform; + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + uniform mat3 specularColorMapTransform; + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + uniform mat3 specularIntensityMapTransform; + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`, _h = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + vUv = vec3( uv, 1 ).xy; +#endif +#ifdef USE_MAP + vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ALPHAMAP + vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_LIGHTMAP + vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_AOMAP + vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_BUMPMAP + vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_NORMALMAP + vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_DISPLACEMENTMAP + vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_EMISSIVEMAP + vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_METALNESSMAP + vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ROUGHNESSMAP + vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ANISOTROPYMAP + vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOATMAP + vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCEMAP + vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_COLORMAP + vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULARMAP + vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_COLORMAP + vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_TRANSMISSIONMAP + vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_THICKNESSMAP + vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy; +#endif`, gh = `#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0 + vec4 worldPosition = vec4( transformed, 1.0 ); + #ifdef USE_BATCHING + worldPosition = batchingMatrix * worldPosition; + #endif + #ifdef USE_INSTANCING + worldPosition = instanceMatrix * worldPosition; + #endif + worldPosition = modelMatrix * worldPosition; +#endif`; +const vh = `varying vec2 vUv; +uniform mat3 uvTransform; +void main() { + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + gl_Position = vec4( position.xy, 1.0, 1.0 ); +}`, xh = `uniform sampler2D t2D; +uniform float backgroundIntensity; +varying vec2 vUv; +void main() { + vec4 texColor = texture2D( t2D, vUv ); + #ifdef DECODE_VIDEO_TEXTURE + texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`, Mh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`, Sh = `#ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; +#elif defined( ENVMAP_TYPE_CUBE_UV ) + uniform sampler2D envMap; +#endif +uniform float flipEnvMap; +uniform float backgroundBlurriness; +uniform float backgroundIntensity; +varying vec3 vWorldDirection; +#include +void main() { + #ifdef ENVMAP_TYPE_CUBE + vec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) ); + #elif defined( ENVMAP_TYPE_CUBE_UV ) + vec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness ); + #else + vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`, Eh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`, yh = `uniform samplerCube tCube; +uniform float tFlip; +uniform float opacity; +varying vec3 vWorldDirection; +void main() { + vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) ); + gl_FragColor = texColor; + gl_FragColor.a *= opacity; + #include + #include +}`, Th = `#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vHighPrecisionZW = gl_Position.zw; +}`, bh = `#if DEPTH_PACKING == 3200 + uniform float opacity; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + vec4 diffuseColor = vec4( 1.0 ); + #if DEPTH_PACKING == 3200 + diffuseColor.a = opacity; + #endif + #include + #include + #include + #include + #include + float fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5; + #if DEPTH_PACKING == 3200 + gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity ); + #elif DEPTH_PACKING == 3201 + gl_FragColor = packDepthToRGBA( fragCoordZ ); + #endif +}`, Ah = `#define DISTANCE +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vWorldPosition = worldPosition.xyz; +}`, wh = `#define DISTANCE +uniform vec3 referencePosition; +uniform float nearDistance; +uniform float farDistance; +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +#include +void main () { + #include + vec4 diffuseColor = vec4( 1.0 ); + #include + #include + #include + #include + float dist = length( vWorldPosition - referencePosition ); + dist = ( dist - nearDistance ) / ( farDistance - nearDistance ); + dist = saturate( dist ); + gl_FragColor = packDepthToRGBA( dist ); +}`, Rh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include +}`, Ch = `uniform sampler2D tEquirect; +varying vec3 vWorldDirection; +#include +void main() { + vec3 direction = normalize( vWorldDirection ); + vec2 sampleUV = equirectUv( direction ); + gl_FragColor = texture2D( tEquirect, sampleUV ); + #include + #include +}`, Lh = `uniform float scale; +attribute float lineDistance; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vLineDistance = scale * lineDistance; + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Ph = `uniform vec3 diffuse; +uniform float opacity; +uniform float dashSize; +uniform float totalSize; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + if ( mod( vLineDistance, totalSize ) > dashSize ) { + discard; + } + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`, Dh = `#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #if defined ( USE_ENVMAP ) || defined ( USE_SKINNING ) + #include + #include + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Uh = `uniform vec3 diffuse; +uniform float opacity; +#ifndef FLAT_SHADED + varying vec3 vNormal; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI; + #else + reflectedLight.indirectDiffuse += vec3( 1.0 ); + #endif + #include + reflectedLight.indirectDiffuse *= diffuseColor.rgb; + vec3 outgoingLight = reflectedLight.indirectDiffuse; + #include + #include + #include + #include + #include + #include + #include +}`, Ih = `#define LAMBERT +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`, Nh = `#define LAMBERT +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`, Fh = `#define MATCAP +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; +}`, Oh = `#define MATCAP +uniform vec3 diffuse; +uniform float opacity; +uniform sampler2D matcap; +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + vec3 viewDir = normalize( vViewPosition ); + vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) ); + vec3 y = cross( viewDir, x ); + vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; + #ifdef USE_MATCAP + vec4 matcapColor = texture2D( matcap, uv ); + #else + vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 ); + #endif + vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb; + #include + #include + #include + #include + #include + #include +}`, Bh = `#define NORMAL +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + vViewPosition = - mvPosition.xyz; +#endif +}`, zh = `#define NORMAL +uniform float opacity; +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + gl_FragColor = vec4( packNormalToRGB( normal ), opacity ); + #ifdef OPAQUE + gl_FragColor.a = 1.0; + #endif +}`, Gh = `#define PHONG +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`, Hh = `#define PHONG +uniform vec3 diffuse; +uniform vec3 emissive; +uniform vec3 specular; +uniform float shininess; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`, Vh = `#define STANDARD +varying vec3 vViewPosition; +#ifdef USE_TRANSMISSION + varying vec3 vWorldPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +#ifdef USE_TRANSMISSION + vWorldPosition = worldPosition.xyz; +#endif +}`, kh = `#define STANDARD +#ifdef PHYSICAL + #define IOR + #define USE_SPECULAR +#endif +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float roughness; +uniform float metalness; +uniform float opacity; +#ifdef IOR + uniform float ior; +#endif +#ifdef USE_SPECULAR + uniform float specularIntensity; + uniform vec3 specularColor; + #ifdef USE_SPECULAR_COLORMAP + uniform sampler2D specularColorMap; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + uniform sampler2D specularIntensityMap; + #endif +#endif +#ifdef USE_CLEARCOAT + uniform float clearcoat; + uniform float clearcoatRoughness; +#endif +#ifdef USE_IRIDESCENCE + uniform float iridescence; + uniform float iridescenceIOR; + uniform float iridescenceThicknessMinimum; + uniform float iridescenceThicknessMaximum; +#endif +#ifdef USE_SHEEN + uniform vec3 sheenColor; + uniform float sheenRoughness; + #ifdef USE_SHEEN_COLORMAP + uniform sampler2D sheenColorMap; + #endif + #ifdef USE_SHEEN_ROUGHNESSMAP + uniform sampler2D sheenRoughnessMap; + #endif +#endif +#ifdef USE_ANISOTROPY + uniform vec2 anisotropyVector; + #ifdef USE_ANISOTROPYMAP + uniform sampler2D anisotropyMap; + #endif +#endif +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse; + vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular; + #include + vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance; + #ifdef USE_SHEEN + float sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor ); + outgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect; + #endif + #ifdef USE_CLEARCOAT + float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) ); + vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc ); + outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat; + #endif + #include + #include + #include + #include + #include + #include +}`, Wh = `#define TOON +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +}`, Xh = `#define TOON +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include +}`, qh = `uniform float size; +uniform float scale; +#include +#include +#include +#include +#include +#include +#ifdef USE_POINTS_UV + varying vec2 vUv; + uniform mat3 uvTransform; +#endif +void main() { + #ifdef USE_POINTS_UV + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + #endif + #include + #include + #include + #include + #include + gl_PointSize = size; + #ifdef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z ); + #endif + #include + #include + #include + #include +}`, Yh = `uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`, jh = `#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Kh = `uniform vec3 color; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) ); + #include + #include + #include +}`, Zh = `uniform float rotation; +uniform vec2 center; +#include +#include +#include +#include +#include +void main() { + #include + vec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 ); + vec2 scale; + scale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) ); + scale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) ); + #ifndef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) scale *= - mvPosition.z; + #endif + vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale; + vec2 rotatedPosition; + rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y; + rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y; + mvPosition.xy += rotatedPosition; + gl_Position = projectionMatrix * mvPosition; + #include + #include + #include +}`, $h = `uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include +}`, Be = { + alphahash_fragment: xc, + alphahash_pars_fragment: Mc, + alphamap_fragment: Sc, + alphamap_pars_fragment: Ec, + alphatest_fragment: yc, + alphatest_pars_fragment: Tc, + aomap_fragment: bc, + aomap_pars_fragment: Ac, + batching_pars_vertex: wc, + batching_vertex: Rc, + begin_vertex: Cc, + beginnormal_vertex: Lc, + bsdfs: Pc, + iridescence_fragment: Dc, + bumpmap_pars_fragment: Uc, + clipping_planes_fragment: Ic, + clipping_planes_pars_fragment: Nc, + clipping_planes_pars_vertex: Fc, + clipping_planes_vertex: Oc, + color_fragment: Bc, + color_pars_fragment: zc, + color_pars_vertex: Gc, + color_vertex: Hc, + common: Vc, + cube_uv_reflection_fragment: kc, + defaultnormal_vertex: Wc, + displacementmap_pars_vertex: Xc, + displacementmap_vertex: qc, + emissivemap_fragment: Yc, + emissivemap_pars_fragment: jc, + colorspace_fragment: Kc, + colorspace_pars_fragment: Zc, + envmap_fragment: $c, + envmap_common_pars_fragment: Jc, + envmap_pars_fragment: Qc, + envmap_pars_vertex: eu, + envmap_physical_pars_fragment: du, + envmap_vertex: tu, + fog_vertex: nu, + fog_pars_vertex: iu, + fog_fragment: ru, + fog_pars_fragment: su, + gradientmap_pars_fragment: au, + lightmap_fragment: ou, + lightmap_pars_fragment: lu, + lights_lambert_fragment: cu, + lights_lambert_pars_fragment: uu, + lights_pars_begin: hu, + lights_toon_fragment: fu, + lights_toon_pars_fragment: pu, + lights_phong_fragment: mu, + lights_phong_pars_fragment: _u, + lights_physical_fragment: gu, + lights_physical_pars_fragment: vu, + lights_fragment_begin: xu, + lights_fragment_maps: Mu, + lights_fragment_end: Su, + logdepthbuf_fragment: Eu, + logdepthbuf_pars_fragment: yu, + logdepthbuf_pars_vertex: Tu, + logdepthbuf_vertex: bu, + map_fragment: Au, + map_pars_fragment: wu, + map_particle_fragment: Ru, + map_particle_pars_fragment: Cu, + metalnessmap_fragment: Lu, + metalnessmap_pars_fragment: Pu, + morphcolor_vertex: Du, + morphnormal_vertex: Uu, + morphtarget_pars_vertex: Iu, + morphtarget_vertex: Nu, + normal_fragment_begin: Fu, + normal_fragment_maps: Ou, + normal_pars_fragment: Bu, + normal_pars_vertex: zu, + normal_vertex: Gu, + normalmap_pars_fragment: Hu, + clearcoat_normal_fragment_begin: Vu, + clearcoat_normal_fragment_maps: ku, + clearcoat_pars_fragment: Wu, + iridescence_pars_fragment: Xu, + opaque_fragment: qu, + packing: Yu, + premultiplied_alpha_fragment: ju, + project_vertex: Ku, + dithering_fragment: Zu, + dithering_pars_fragment: $u, + roughnessmap_fragment: Ju, + roughnessmap_pars_fragment: Qu, + shadowmap_pars_fragment: eh, + shadowmap_pars_vertex: th, + shadowmap_vertex: nh, + shadowmask_pars_fragment: ih, + skinbase_vertex: rh, + skinning_pars_vertex: sh, + skinning_vertex: ah, + skinnormal_vertex: oh, + specularmap_fragment: lh, + specularmap_pars_fragment: ch, + tonemapping_fragment: uh, + tonemapping_pars_fragment: hh, + transmission_fragment: dh, + transmission_pars_fragment: fh, + uv_pars_fragment: ph, + uv_pars_vertex: mh, + uv_vertex: _h, + worldpos_vertex: gh, + background_vert: vh, + background_frag: xh, + backgroundCube_vert: Mh, + backgroundCube_frag: Sh, + cube_vert: Eh, + cube_frag: yh, + depth_vert: Th, + depth_frag: bh, + distanceRGBA_vert: Ah, + distanceRGBA_frag: wh, + equirect_vert: Rh, + equirect_frag: Ch, + linedashed_vert: Lh, + linedashed_frag: Ph, + meshbasic_vert: Dh, + meshbasic_frag: Uh, + meshlambert_vert: Ih, + meshlambert_frag: Nh, + meshmatcap_vert: Fh, + meshmatcap_frag: Oh, + meshnormal_vert: Bh, + meshnormal_frag: zh, + meshphong_vert: Gh, + meshphong_frag: Hh, + meshphysical_vert: Vh, + meshphysical_frag: kh, + meshtoon_vert: Wh, + meshtoon_frag: Xh, + points_vert: qh, + points_frag: Yh, + shadow_vert: jh, + shadow_frag: Kh, + sprite_vert: Zh, + sprite_frag: $h +}, se = { + common: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + map: { value: null }, + mapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 } + }, + specularmap: { + specularMap: { value: null }, + specularMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + envmap: { + envMap: { value: null }, + flipEnvMap: { value: -1 }, + reflectivity: { value: 1 }, + // basic, lambert, phong + ior: { value: 1.5 }, + // physical + refractionRatio: { value: 0.98 } + // basic, lambert, phong + }, + aomap: { + aoMap: { value: null }, + aoMapIntensity: { value: 1 }, + aoMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + lightmap: { + lightMap: { value: null }, + lightMapIntensity: { value: 1 }, + lightMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + bumpmap: { + bumpMap: { value: null }, + bumpMapTransform: { value: /* @__PURE__ */ new Ve() }, + bumpScale: { value: 1 } + }, + normalmap: { + normalMap: { value: null }, + normalMapTransform: { value: /* @__PURE__ */ new Ve() }, + normalScale: { value: /* @__PURE__ */ new Ie(1, 1) } + }, + displacementmap: { + displacementMap: { value: null }, + displacementMapTransform: { value: /* @__PURE__ */ new Ve() }, + displacementScale: { value: 1 }, + displacementBias: { value: 0 } + }, + emissivemap: { + emissiveMap: { value: null }, + emissiveMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + metalnessmap: { + metalnessMap: { value: null }, + metalnessMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + roughnessmap: { + roughnessMap: { value: null }, + roughnessMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + gradientmap: { + gradientMap: { value: null } + }, + fog: { + fogDensity: { value: 25e-5 }, + fogNear: { value: 1 }, + fogFar: { value: 2e3 }, + fogColor: { value: /* @__PURE__ */ new Xe(16777215) } + }, + lights: { + ambientLightColor: { value: [] }, + lightProbe: { value: [] }, + directionalLights: { value: [], properties: { + direction: {}, + color: {} + } }, + directionalLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {} + } }, + directionalShadowMap: { value: [] }, + directionalShadowMatrix: { value: [] }, + spotLights: { value: [], properties: { + color: {}, + position: {}, + direction: {}, + distance: {}, + coneCos: {}, + penumbraCos: {}, + decay: {} + } }, + spotLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {} + } }, + spotLightMap: { value: [] }, + spotShadowMap: { value: [] }, + spotLightMatrix: { value: [] }, + pointLights: { value: [], properties: { + color: {}, + position: {}, + decay: {}, + distance: {} + } }, + pointLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {}, + shadowCameraNear: {}, + shadowCameraFar: {} + } }, + pointShadowMap: { value: [] }, + pointShadowMatrix: { value: [] }, + hemisphereLights: { value: [], properties: { + direction: {}, + skyColor: {}, + groundColor: {} + } }, + // TODO (abelnation): RectAreaLight BRDF data needs to be moved from example to main src + rectAreaLights: { value: [], properties: { + color: {}, + position: {}, + width: {}, + height: {} + } }, + ltc_1: { value: null }, + ltc_2: { value: null } + }, + points: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + size: { value: 1 }, + scale: { value: 1 }, + map: { value: null }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 }, + uvTransform: { value: /* @__PURE__ */ new Ve() } + }, + sprite: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + center: { value: /* @__PURE__ */ new Ie(0.5, 0.5) }, + rotation: { value: 0 }, + map: { value: null }, + mapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 } + } +}, Gt = { + basic: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.specularmap, + se.envmap, + se.aomap, + se.lightmap, + se.fog + ]), + vertexShader: Be.meshbasic_vert, + fragmentShader: Be.meshbasic_frag + }, + lambert: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.specularmap, + 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dashSize: { value: 1 }, + totalSize: { value: 2 } + } + ]), + vertexShader: Be.linedashed_vert, + fragmentShader: Be.linedashed_frag + }, + depth: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.displacementmap + ]), + vertexShader: Be.depth_vert, + fragmentShader: Be.depth_frag + }, + normal: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.bumpmap, + se.normalmap, + se.displacementmap, + { + opacity: { value: 1 } + } + ]), + vertexShader: Be.meshnormal_vert, + fragmentShader: Be.meshnormal_frag + }, + sprite: { + uniforms: /* @__PURE__ */ _t([ + se.sprite, + se.fog + ]), + vertexShader: Be.sprite_vert, + fragmentShader: Be.sprite_frag + }, + background: { + uniforms: { + uvTransform: { value: /* @__PURE__ */ new Ve() }, + t2D: { value: null }, + backgroundIntensity: { value: 1 } + }, + vertexShader: Be.background_vert, + fragmentShader: Be.background_frag + }, + backgroundCube: { + uniforms: { + envMap: { value: null }, + flipEnvMap: { value: -1 }, + backgroundBlurriness: { value: 0 }, + backgroundIntensity: { value: 1 } + }, + vertexShader: Be.backgroundCube_vert, + fragmentShader: Be.backgroundCube_frag + }, + cube: { + uniforms: { + tCube: { value: null }, + tFlip: { value: -1 }, + opacity: { value: 1 } + }, + vertexShader: Be.cube_vert, + fragmentShader: Be.cube_frag + }, + equirect: { + uniforms: { + tEquirect: { value: null } + }, + vertexShader: Be.equirect_vert, + fragmentShader: Be.equirect_frag + }, + distanceRGBA: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.displacementmap, + { + referencePosition: { value: /* @__PURE__ */ new P() }, + nearDistance: { value: 1 }, + farDistance: { value: 1e3 } + } + ]), + vertexShader: Be.distanceRGBA_vert, + fragmentShader: Be.distanceRGBA_frag + }, + shadow: { + uniforms: /* @__PURE__ */ _t([ + se.lights, + se.fog, + { + color: { value: /* @__PURE__ */ new Xe(0) }, + opacity: { value: 1 } + } + ]), + vertexShader: Be.shadow_vert, + fragmentShader: Be.shadow_frag + } +}; +Gt.physical = { + uniforms: /* @__PURE__ */ _t([ + Gt.standard.uniforms, + { + clearcoat: { value: 0 }, + clearcoatMap: { value: null }, + clearcoatMapTransform: { value: /* @__PURE__ */ new Ve() }, + clearcoatNormalMap: { value: null }, + clearcoatNormalMapTransform: { value: /* @__PURE__ */ new Ve() }, + clearcoatNormalScale: { value: /* @__PURE__ */ new Ie(1, 1) }, + clearcoatRoughness: { value: 0 }, + clearcoatRoughnessMap: { value: null }, + clearcoatRoughnessMapTransform: { value: /* @__PURE__ */ new Ve() }, + iridescence: { value: 0 }, + iridescenceMap: { value: null }, + iridescenceMapTransform: { value: /* @__PURE__ */ new Ve() }, + iridescenceIOR: { value: 1.3 }, + iridescenceThicknessMinimum: { value: 100 }, + iridescenceThicknessMaximum: { value: 400 }, + iridescenceThicknessMap: { value: null }, + iridescenceThicknessMapTransform: { value: /* @__PURE__ */ new Ve() }, + sheen: { value: 0 }, + sheenColor: { value: /* @__PURE__ */ new Xe(0) }, + sheenColorMap: { value: null }, + sheenColorMapTransform: { value: /* @__PURE__ */ new Ve() }, + sheenRoughness: { value: 1 }, + sheenRoughnessMap: { value: null }, + sheenRoughnessMapTransform: { value: /* @__PURE__ */ new Ve() }, + transmission: { value: 0 }, + transmissionMap: { value: null }, + transmissionMapTransform: { value: /* @__PURE__ */ new Ve() }, + transmissionSamplerSize: { value: /* @__PURE__ */ new Ie() }, + transmissionSamplerMap: { value: null }, + thickness: { value: 0 }, + thicknessMap: { value: null }, + thicknessMapTransform: { value: /* @__PURE__ */ new Ve() }, + attenuationDistance: { value: 0 }, + attenuationColor: { value: /* @__PURE__ */ new Xe(0) }, + specularColor: { value: /* @__PURE__ */ new Xe(1, 1, 1) }, + specularColorMap: { value: null }, + specularColorMapTransform: { value: /* @__PURE__ */ new Ve() }, + specularIntensity: { value: 1 }, + specularIntensityMap: { value: null }, + specularIntensityMapTransform: { value: /* @__PURE__ */ new Ve() }, + anisotropyVector: { value: /* @__PURE__ */ new Ie() }, + anisotropyMap: { value: null }, + anisotropyMapTransform: { value: /* @__PURE__ */ new Ve() } + } + ]), + vertexShader: Be.meshphysical_vert, + fragmentShader: Be.meshphysical_frag +}; +const Wi = { r: 0, b: 0, g: 0 }; +function Jh(i, e, t, n, r, s, o) { + const a = new Xe(0); + let l = s === !0 ? 0 : 1, c, h, d = null, p = 0, m = null; + function g(f, u) { + let b = !1, S = u.isScene === !0 ? u.background : null; + S && S.isTexture && (S = (u.backgroundBlurriness > 0 ? t : e).get(S)), S === null ? v(a, l) : S && S.isColor && (v(S, 1), b = !0); + const R = i.xr.getEnvironmentBlendMode(); + R === "additive" ? n.buffers.color.setClear(0, 0, 0, 1, o) : R === "alpha-blend" && n.buffers.color.setClear(0, 0, 0, 0, o), (i.autoClear || b) && i.clear(i.autoClearColor, i.autoClearDepth, i.autoClearStencil), S && (S.isCubeTexture || S.mapping === rr) ? (h === void 0 && (h = new Ot( + new ii(1, 1, 1), + new wn({ + name: "BackgroundCubeMaterial", + uniforms: ni(Gt.backgroundCube.uniforms), + vertexShader: Gt.backgroundCube.vertexShader, + fragmentShader: Gt.backgroundCube.fragmentShader, + side: Mt, + depthTest: !1, + depthWrite: !1, + fog: !1 + }) + ), h.geometry.deleteAttribute("normal"), h.geometry.deleteAttribute("uv"), h.onBeforeRender = function(D, C, A) { + this.matrixWorld.copyPosition(A.matrixWorld); + }, Object.defineProperty(h.material, "envMap", { + get: function() { + return this.uniforms.envMap.value; + } + }), r.update(h)), h.material.uniforms.envMap.value = S, h.material.uniforms.flipEnvMap.value = S.isCubeTexture && S.isRenderTargetTexture === !1 ? -1 : 1, h.material.uniforms.backgroundBlurriness.value = u.backgroundBlurriness, h.material.uniforms.backgroundIntensity.value = u.backgroundIntensity, h.material.toneMapped = Ke.getTransfer(S.colorSpace) !== Ze, (d !== S || p !== S.version || m !== i.toneMapping) && (h.material.needsUpdate = !0, d = S, p = S.version, m = i.toneMapping), h.layers.enableAll(), f.unshift(h, h.geometry, h.material, 0, 0, null)) : S && S.isTexture && (c === void 0 && (c = new Ot( + new us(2, 2), + new wn({ + name: "BackgroundMaterial", + uniforms: ni(Gt.background.uniforms), + vertexShader: Gt.background.vertexShader, + fragmentShader: Gt.background.fragmentShader, + side: un, + depthTest: !1, + depthWrite: !1, + fog: !1 + }) + ), c.geometry.deleteAttribute("normal"), Object.defineProperty(c.material, "map", { + get: function() { + return this.uniforms.t2D.value; + } + }), r.update(c)), c.material.uniforms.t2D.value = S, c.material.uniforms.backgroundIntensity.value = u.backgroundIntensity, c.material.toneMapped = Ke.getTransfer(S.colorSpace) !== Ze, S.matrixAutoUpdate === !0 && S.updateMatrix(), c.material.uniforms.uvTransform.value.copy(S.matrix), (d !== S || p !== S.version || m !== i.toneMapping) && (c.material.needsUpdate = !0, d = S, p = S.version, m = i.toneMapping), c.layers.enableAll(), f.unshift(c, c.geometry, c.material, 0, 0, null)); + } + function v(f, u) { + f.getRGB(Wi, Co(i)), n.buffers.color.setClear(Wi.r, Wi.g, Wi.b, u, o); + } + return { + getClearColor: function() { + return a; + }, + setClearColor: function(f, u = 1) { + a.set(f), l = u, v(a, l); + }, + getClearAlpha: function() { + return l; + }, + setClearAlpha: function(f) { + l = f, v(a, l); + }, + render: g + }; +} +function Qh(i, e, t, n) { + const r = i.getParameter(i.MAX_VERTEX_ATTRIBS), s = n.isWebGL2 ? null : e.get("OES_vertex_array_object"), o = n.isWebGL2 || s !== null, a = {}, l = f(null); + let c = l, h = !1; + function d(L, F, V, Y, X) { + let k = !1; + if (o) { + const q = v(Y, V, F); + c !== q && (c = q, m(c.object)), k = u(L, Y, V, X), k && b(L, Y, V, X); + } else { + const q = F.wireframe === !0; + (c.geometry !== Y.id || c.program !== V.id || c.wireframe !== q) && (c.geometry = Y.id, c.program = V.id, c.wireframe = q, k = !0); + } + X !== null && t.update(X, i.ELEMENT_ARRAY_BUFFER), (k || h) && (h = !1, W(L, F, V, Y), X !== null && i.bindBuffer(i.ELEMENT_ARRAY_BUFFER, t.get(X).buffer)); + } + function p() { + return n.isWebGL2 ? i.createVertexArray() : s.createVertexArrayOES(); + } + function m(L) { + return n.isWebGL2 ? i.bindVertexArray(L) : s.bindVertexArrayOES(L); + } + function g(L) { + return n.isWebGL2 ? i.deleteVertexArray(L) : s.deleteVertexArrayOES(L); + } + function v(L, F, V) { + const Y = V.wireframe === !0; + let X = a[L.id]; + X === void 0 && (X = {}, a[L.id] = X); + let k = X[F.id]; + k === void 0 && (k = {}, X[F.id] = k); + let q = k[Y]; + return q === void 0 && (q = f(p()), k[Y] = q), q; + } + function f(L) { + const F = [], V = [], Y = []; + for (let X = 0; X < r; X++) + F[X] = 0, V[X] = 0, Y[X] = 0; + return { + // for backward compatibility on non-VAO support browser + geometry: null, + program: null, + wireframe: !1, + newAttributes: F, + enabledAttributes: V, + attributeDivisors: Y, + object: L, + attributes: {}, + index: null + }; + } + function u(L, F, V, Y) { + const X = c.attributes, k = F.attributes; + let q = 0; + const Q = V.getAttributes(); + for (const ce in Q) + if (Q[ce].location >= 0) { + const j = X[ce]; + let oe = k[ce]; + if (oe === void 0 && (ce === "instanceMatrix" && L.instanceMatrix && (oe = L.instanceMatrix), ce === "instanceColor" && L.instanceColor && (oe = L.instanceColor)), j === void 0 || j.attribute !== oe || oe && j.data !== oe.data) return !0; + q++; + } + return c.attributesNum !== q || c.index !== Y; + } + function b(L, F, V, Y) { + const X = {}, k = F.attributes; + let q = 0; + const Q = V.getAttributes(); + for (const ce in Q) + if (Q[ce].location >= 0) { + let j = k[ce]; + j === void 0 && (ce === "instanceMatrix" && L.instanceMatrix && (j = L.instanceMatrix), ce === "instanceColor" && L.instanceColor && (j = L.instanceColor)); + const oe = {}; + oe.attribute = j, j && j.data && (oe.data = j.data), X[ce] = oe, q++; + } + c.attributes = X, c.attributesNum = q, c.index = Y; + } + function S() { + const L = c.newAttributes; + for (let F = 0, V = L.length; F < V; F++) + L[F] = 0; + } + function R(L) { + D(L, 0); + } + function D(L, F) { + const V = c.newAttributes, Y = c.enabledAttributes, X = c.attributeDivisors; + V[L] = 1, Y[L] === 0 && (i.enableVertexAttribArray(L), Y[L] = 1), X[L] !== F && ((n.isWebGL2 ? i : e.get("ANGLE_instanced_arrays"))[n.isWebGL2 ? "vertexAttribDivisor" : "vertexAttribDivisorANGLE"](L, F), X[L] = F); + } + function C() { + const L = c.newAttributes, F = c.enabledAttributes; + for (let V = 0, Y = F.length; V < Y; V++) + F[V] !== L[V] && (i.disableVertexAttribArray(V), F[V] = 0); + } + function A(L, F, V, Y, X, k, q) { + q === !0 ? i.vertexAttribIPointer(L, F, V, X, k) : i.vertexAttribPointer(L, F, V, Y, X, k); + } + function W(L, F, V, Y) { + if (n.isWebGL2 === !1 && (L.isInstancedMesh || Y.isInstancedBufferGeometry) && e.get("ANGLE_instanced_arrays") === null) + return; + S(); + const X = Y.attributes, k = V.getAttributes(), q = F.defaultAttributeValues; + for (const Q in k) { + const ce = k[Q]; + if (ce.location >= 0) { + let H = X[Q]; + if (H === void 0 && (Q === "instanceMatrix" && L.instanceMatrix && (H = L.instanceMatrix), Q === "instanceColor" && L.instanceColor && (H = L.instanceColor)), H !== void 0) { + const j = H.normalized, oe = H.itemSize, ve = t.get(H); + if (ve === void 0) continue; + const _e = ve.buffer, we = ve.type, Ae = ve.bytesPerElement, ge = n.isWebGL2 === !0 && (we === i.INT || we === i.UNSIGNED_INT || H.gpuType === co); + if (H.isInterleavedBufferAttribute) { + const Pe = H.data, N = Pe.stride, rt = H.offset; + if (Pe.isInstancedInterleavedBuffer) { + for (let Me = 0; Me < ce.locationSize; Me++) + D(ce.location + Me, Pe.meshPerAttribute); + L.isInstancedMesh !== !0 && Y._maxInstanceCount === void 0 && (Y._maxInstanceCount = Pe.meshPerAttribute * Pe.count); + } else + for (let Me = 0; Me < ce.locationSize; Me++) + R(ce.location + Me); + i.bindBuffer(i.ARRAY_BUFFER, _e); + for (let Me = 0; Me < ce.locationSize; Me++) + A( + ce.location + Me, + oe / ce.locationSize, + we, + j, + N * Ae, + (rt + oe / ce.locationSize * Me) * Ae, + ge + ); + } else { + if (H.isInstancedBufferAttribute) { + for (let Pe = 0; Pe < ce.locationSize; Pe++) + D(ce.location + Pe, H.meshPerAttribute); + L.isInstancedMesh !== !0 && Y._maxInstanceCount === void 0 && (Y._maxInstanceCount = H.meshPerAttribute * H.count); + } else + for (let Pe = 0; Pe < ce.locationSize; Pe++) + R(ce.location + Pe); + i.bindBuffer(i.ARRAY_BUFFER, _e); + for (let Pe = 0; Pe < ce.locationSize; Pe++) + A( + ce.location + Pe, + oe / ce.locationSize, + we, + j, + oe * Ae, + oe / ce.locationSize * Pe * Ae, + ge + ); + } + } else if (q !== void 0) { + const j = q[Q]; + if (j !== void 0) + switch (j.length) { + case 2: + i.vertexAttrib2fv(ce.location, j); + break; + case 3: + i.vertexAttrib3fv(ce.location, j); + break; + case 4: + i.vertexAttrib4fv(ce.location, j); + break; + default: + i.vertexAttrib1fv(ce.location, j); + } + } + } + } + C(); + } + function x() { + Z(); + for (const L in a) { + const F = a[L]; + for (const V in F) { + const Y = F[V]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete F[V]; + } + delete a[L]; + } + } + function y(L) { + if (a[L.id] === void 0) return; + const F = a[L.id]; + for (const V in F) { + const Y = F[V]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete F[V]; + } + delete a[L.id]; + } + function z(L) { + for (const F in a) { + const V = a[F]; + if (V[L.id] === void 0) continue; + const Y = V[L.id]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete V[L.id]; + } + } + function Z() { + re(), h = !0, c !== l && (c = l, m(c.object)); + } + function re() { + l.geometry = null, l.program = null, l.wireframe = !1; + } + return { + setup: d, + reset: Z, + resetDefaultState: re, + dispose: x, + releaseStatesOfGeometry: y, + releaseStatesOfProgram: z, + initAttributes: S, + enableAttribute: R, + disableUnusedAttributes: C + }; +} +function ed(i, e, t, n) { + const r = n.isWebGL2; + let s; + function o(h) { + s = h; + } + function a(h, d) { + i.drawArrays(s, h, d), t.update(d, s, 1); + } + function l(h, d, p) { + if (p === 0) return; + let m, g; + if (r) + m = i, g = "drawArraysInstanced"; + else if (m = e.get("ANGLE_instanced_arrays"), g = "drawArraysInstancedANGLE", m === null) { + console.error("THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); + return; + } + m[g](s, h, d, p), t.update(d, s, p); + } + function c(h, d, p) { + if (p === 0) return; + const m = e.get("WEBGL_multi_draw"); + if (m === null) + for (let g = 0; g < p; g++) + this.render(h[g], d[g]); + else { + m.multiDrawArraysWEBGL(s, h, 0, d, 0, p); + let g = 0; + for (let v = 0; v < p; v++) + g += d[v]; + t.update(g, s, 1); + } + } + this.setMode = o, this.render = a, this.renderInstances = l, this.renderMultiDraw = c; +} +function td(i, e, t) { + let n; + function r() { + if (n !== void 0) return n; + if (e.has("EXT_texture_filter_anisotropic") === !0) { + const A = e.get("EXT_texture_filter_anisotropic"); + n = i.getParameter(A.MAX_TEXTURE_MAX_ANISOTROPY_EXT); + } else + n = 0; + return n; + } + function s(A) { + if (A === "highp") { + if (i.getShaderPrecisionFormat(i.VERTEX_SHADER, i.HIGH_FLOAT).precision > 0 && i.getShaderPrecisionFormat(i.FRAGMENT_SHADER, i.HIGH_FLOAT).precision > 0) + return "highp"; + A = "mediump"; + } + return A === "mediump" && i.getShaderPrecisionFormat(i.VERTEX_SHADER, i.MEDIUM_FLOAT).precision > 0 && i.getShaderPrecisionFormat(i.FRAGMENT_SHADER, i.MEDIUM_FLOAT).precision > 0 ? "mediump" : "lowp"; + } + const o = typeof WebGL2RenderingContext < "u" && i.constructor.name === "WebGL2RenderingContext"; + let a = t.precision !== void 0 ? t.precision : "highp"; + const l = s(a); + l !== a && (console.warn("THREE.WebGLRenderer:", a, "not supported, using", l, "instead."), a = l); + const c = o || e.has("WEBGL_draw_buffers"), h = t.logarithmicDepthBuffer === !0, d = i.getParameter(i.MAX_TEXTURE_IMAGE_UNITS), p = i.getParameter(i.MAX_VERTEX_TEXTURE_IMAGE_UNITS), m = i.getParameter(i.MAX_TEXTURE_SIZE), g = i.getParameter(i.MAX_CUBE_MAP_TEXTURE_SIZE), v = i.getParameter(i.MAX_VERTEX_ATTRIBS), f = i.getParameter(i.MAX_VERTEX_UNIFORM_VECTORS), u = i.getParameter(i.MAX_VARYING_VECTORS), b = i.getParameter(i.MAX_FRAGMENT_UNIFORM_VECTORS), S = p > 0, R = o || e.has("OES_texture_float"), D = S && R, C = o ? i.getParameter(i.MAX_SAMPLES) : 0; + return { + isWebGL2: o, + drawBuffers: c, + getMaxAnisotropy: r, + getMaxPrecision: s, + precision: a, + logarithmicDepthBuffer: h, + maxTextures: d, + maxVertexTextures: p, + maxTextureSize: m, + maxCubemapSize: g, + maxAttributes: v, + maxVertexUniforms: f, + maxVaryings: u, + maxFragmentUniforms: b, + vertexTextures: S, + floatFragmentTextures: R, + floatVertexTextures: D, + maxSamples: C + }; +} +function nd(i) { + const e = this; + let t = null, n = 0, r = !1, s = !1; + const o = new rn(), a = new Ve(), l = { value: null, needsUpdate: !1 }; + this.uniform = l, this.numPlanes = 0, this.numIntersection = 0, this.init = function(d, p) { + const m = d.length !== 0 || p || // enable state of previous frame - the clipping code has to + // run another frame in order to reset the state: + n !== 0 || r; + return r = p, n = d.length, m; + }, this.beginShadows = function() { + s = !0, h(null); + }, this.endShadows = function() { + s = !1; + }, this.setGlobalState = function(d, p) { + t = h(d, p, 0); + }, this.setState = function(d, p, m) { + const g = d.clippingPlanes, v = d.clipIntersection, f = d.clipShadows, u = i.get(d); + if (!r || g === null || g.length === 0 || s && !f) + s ? h(null) : c(); + else { + const b = s ? 0 : n, S = b * 4; + let R = u.clippingState || null; + l.value = R, R = h(g, p, S, m); + for (let D = 0; D !== S; ++D) + R[D] = t[D]; + u.clippingState = R, this.numIntersection = v ? this.numPlanes : 0, this.numPlanes += b; + } + }; + function c() { + l.value !== t && (l.value = t, l.needsUpdate = n > 0), e.numPlanes = n, e.numIntersection = 0; + } + function h(d, p, m, g) { + const v = d !== null ? d.length : 0; + let f = null; + if (v !== 0) { + if (f = l.value, g !== !0 || f === null) { + const u = m + v * 4, b = p.matrixWorldInverse; + a.getNormalMatrix(b), (f === null || f.length < u) && (f = new Float32Array(u)); + for (let S = 0, R = m; S !== v; ++S, R += 4) + o.copy(d[S]).applyMatrix4(b, a), o.normal.toArray(f, R), f[R + 3] = o.constant; + } + l.value = f, l.needsUpdate = !0; + } + return e.numPlanes = v, e.numIntersection = 0, f; + } +} +function id(i) { + let e = /* @__PURE__ */ new WeakMap(); + function t(o, a) { + return a === $r ? o.mapping = Qn : a === Jr && (o.mapping = ei), o; + } + function n(o) { + if (o && o.isTexture) { + const a = o.mapping; + if (a === $r || a === Jr) + if (e.has(o)) { + const l = e.get(o).texture; + return t(l, o.mapping); + } else { + const l = o.image; + if (l && l.height > 0) { + const c = new mc(l.height / 2); + return c.fromEquirectangularTexture(i, o), e.set(o, c), o.addEventListener("dispose", r), t(c.texture, o.mapping); + } else + return null; + } + } + return o; + } + function r(o) { + const a = o.target; + a.removeEventListener("dispose", r); + const l = e.get(a); + l !== void 0 && (e.delete(a), l.dispose()); + } + function s() { + e = /* @__PURE__ */ new WeakMap(); + } + return { + get: n, + dispose: s + }; +} +class Uo extends Lo { + constructor(e = -1, t = 1, n = 1, r = -1, s = 0.1, o = 2e3) { + super(), this.isOrthographicCamera = !0, this.type = "OrthographicCamera", this.zoom = 1, this.view = null, this.left = e, this.right = t, this.top = n, this.bottom = r, this.near = s, this.far = o, this.updateProjectionMatrix(); + } + copy(e, t) { + return super.copy(e, t), this.left = e.left, this.right = e.right, this.top = e.top, this.bottom = e.bottom, this.near = e.near, this.far = e.far, this.zoom = e.zoom, this.view = e.view === null ? null : Object.assign({}, e.view), this; + } + setViewOffset(e, t, n, r, s, o) { + this.view === null && (this.view = { + enabled: !0, + fullWidth: 1, + fullHeight: 1, + offsetX: 0, + offsetY: 0, + width: 1, + height: 1 + }), this.view.enabled = !0, this.view.fullWidth = e, this.view.fullHeight = t, this.view.offsetX = n, this.view.offsetY = r, this.view.width = s, this.view.height = o, this.updateProjectionMatrix(); + } + clearViewOffset() { + this.view !== null && (this.view.enabled = !1), this.updateProjectionMatrix(); + } + updateProjectionMatrix() { + const e = (this.right - this.left) / (2 * this.zoom), t = (this.top - this.bottom) / (2 * this.zoom), n = (this.right + this.left) / 2, r = (this.top + this.bottom) / 2; + let s = n - e, o = n + e, a = r + t, l = r - t; + if (this.view !== null && this.view.enabled) { + const c = (this.right - this.left) / this.view.fullWidth / this.zoom, h = (this.top - this.bottom) / this.view.fullHeight / this.zoom; + s += c * this.view.offsetX, o = s + c * this.view.width, a -= h * this.view.offsetY, l = a - h * this.view.height; + } + this.projectionMatrix.makeOrthographic(s, o, a, l, this.near, this.far, this.coordinateSystem), this.projectionMatrixInverse.copy(this.projectionMatrix).invert(); + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.zoom = this.zoom, t.object.left = this.left, t.object.right = this.right, t.object.top = this.top, t.object.bottom = this.bottom, t.object.near = this.near, t.object.far = this.far, this.view !== null && (t.object.view = Object.assign({}, this.view)), t; + } +} +const Kn = 4, xa = [0.125, 0.215, 0.35, 0.446, 0.526, 0.582], Sn = 20, Br = /* @__PURE__ */ new Uo(), Ma = /* @__PURE__ */ new Xe(); +let zr = null, Gr = 0, Hr = 0; +const xn = (1 + Math.sqrt(5)) / 2, Yn = 1 / xn, Sa = [ + /* @__PURE__ */ new P(1, 1, 1), + /* @__PURE__ */ new P(-1, 1, 1), + /* @__PURE__ */ new P(1, 1, -1), + /* @__PURE__ */ new P(-1, 1, -1), + /* @__PURE__ */ new P(0, xn, Yn), + /* @__PURE__ */ new P(0, xn, -Yn), + /* @__PURE__ */ new P(Yn, 0, xn), + /* @__PURE__ */ new P(-Yn, 0, xn), + /* @__PURE__ */ new P(xn, Yn, 0), + /* @__PURE__ */ new P(-xn, Yn, 0) +]; +class Ea { + constructor(e) { + this._renderer = e, this._pingPongRenderTarget = null, this._lodMax = 0, this._cubeSize = 0, this._lodPlanes = [], this._sizeLods = [], this._sigmas = [], this._blurMaterial = null, this._cubemapMaterial = null, this._equirectMaterial = null, this._compileMaterial(this._blurMaterial); + } + /** + * Generates a PMREM from a supplied Scene, which can be faster than using an + * image if networking bandwidth is low. Optional sigma specifies a blur radius + * in radians to be applied to the scene before PMREM generation. Optional near + * and far planes ensure the scene is rendered in its entirety (the cubeCamera + * is placed at the origin). + */ + fromScene(e, t = 0, n = 0.1, r = 100) { + zr = this._renderer.getRenderTarget(), Gr = this._renderer.getActiveCubeFace(), Hr = this._renderer.getActiveMipmapLevel(), this._setSize(256); + const s = this._allocateTargets(); + return s.depthBuffer = !0, this._sceneToCubeUV(e, n, r, s), t > 0 && this._blur(s, 0, 0, t), this._applyPMREM(s), this._cleanup(s), s; + } + /** + * Generates a PMREM from an equirectangular texture, which can be either LDR + * or HDR. The ideal input image size is 1k (1024 x 512), + * as this matches best with the 256 x 256 cubemap output. + */ + fromEquirectangular(e, t = null) { + return this._fromTexture(e, t); + } + /** + * Generates a PMREM from an cubemap texture, which can be either LDR + * or HDR. The ideal input cube size is 256 x 256, + * as this matches best with the 256 x 256 cubemap output. + */ + fromCubemap(e, t = null) { + return this._fromTexture(e, t); + } + /** + * Pre-compiles the cubemap shader. You can get faster start-up by invoking this method during + * your texture's network fetch for increased concurrency. + */ + compileCubemapShader() { + this._cubemapMaterial === null && (this._cubemapMaterial = ba(), this._compileMaterial(this._cubemapMaterial)); + } + /** + * Pre-compiles the equirectangular shader. You can get faster start-up by invoking this method during + * your texture's network fetch for increased concurrency. + */ + compileEquirectangularShader() { + this._equirectMaterial === null && (this._equirectMaterial = Ta(), this._compileMaterial(this._equirectMaterial)); + } + /** + * Disposes of the PMREMGenerator's internal memory. Note that PMREMGenerator is a static class, + * so you should not need more than one PMREMGenerator object. If you do, calling dispose() on + * one of them will cause any others to also become unusable. + */ + dispose() { + this._dispose(), this._cubemapMaterial !== null && this._cubemapMaterial.dispose(), this._equirectMaterial !== null && this._equirectMaterial.dispose(); + } + // private interface + _setSize(e) { + this._lodMax = Math.floor(Math.log2(e)), this._cubeSize = Math.pow(2, this._lodMax); + } + _dispose() { + this._blurMaterial !== null && this._blurMaterial.dispose(), this._pingPongRenderTarget !== null && this._pingPongRenderTarget.dispose(); + for (let e = 0; e < this._lodPlanes.length; e++) + this._lodPlanes[e].dispose(); + } + _cleanup(e) { + this._renderer.setRenderTarget(zr, Gr, Hr), e.scissorTest = !1, Xi(e, 0, 0, e.width, e.height); + } + _fromTexture(e, t) { + e.mapping === Qn || e.mapping === ei ? this._setSize(e.image.length === 0 ? 16 : e.image[0].width || e.image[0].image.width) : this._setSize(e.image.width / 4), zr = this._renderer.getRenderTarget(), Gr = this._renderer.getActiveCubeFace(), Hr = this._renderer.getActiveMipmapLevel(); + const n = t || this._allocateTargets(); + return this._textureToCubeUV(e, n), this._applyPMREM(n), this._cleanup(n), n; + } + _allocateTargets() { + const e = 3 * Math.max(this._cubeSize, 112), t = 4 * this._cubeSize, n = { + magFilter: Rt, + minFilter: Rt, + generateMipmaps: !1, + type: gi, + format: Ft, + colorSpace: $t, + depthBuffer: !1 + }, r = ya(e, t, n); + if (this._pingPongRenderTarget === null || this._pingPongRenderTarget.width !== e || this._pingPongRenderTarget.height !== t) { + this._pingPongRenderTarget !== null && this._dispose(), this._pingPongRenderTarget = ya(e, t, n); + const { _lodMax: s } = this; + ({ sizeLods: this._sizeLods, lodPlanes: this._lodPlanes, sigmas: this._sigmas } = rd(s)), this._blurMaterial = sd(s, e, t); + } + return r; + } + _compileMaterial(e) { + const t = new Ot(this._lodPlanes[0], e); + this._renderer.compile(t, Br); + } + _sceneToCubeUV(e, t, n, r) { + const a = new Tt(90, 1, t, n), l = [1, -1, 1, 1, 1, 1], c = [1, 1, 1, -1, -1, -1], h = this._renderer, d = h.autoClear, p = h.toneMapping; + h.getClearColor(Ma), h.toneMapping = ln, h.autoClear = !1; + const m = new ls({ + name: "PMREM.Background", + side: Mt, + depthWrite: !1, + depthTest: !1 + }), g = new Ot(new ii(), m); + let v = !1; + const f = e.background; + f ? f.isColor && (m.color.copy(f), e.background = null, v = !0) : (m.color.copy(Ma), v = !0); + for (let u = 0; u < 6; u++) { + const b = u % 3; + b === 0 ? (a.up.set(0, l[u], 0), a.lookAt(c[u], 0, 0)) : b === 1 ? (a.up.set(0, 0, l[u]), a.lookAt(0, c[u], 0)) : (a.up.set(0, l[u], 0), a.lookAt(0, 0, c[u])); + const S = this._cubeSize; + Xi(r, b * S, u > 2 ? S : 0, S, S), h.setRenderTarget(r), v && h.render(g, a), h.render(e, a); + } + g.geometry.dispose(), g.material.dispose(), h.toneMapping = p, h.autoClear = d, e.background = f; + } + _textureToCubeUV(e, t) { + const n = this._renderer, r = e.mapping === Qn || e.mapping === ei; + r ? (this._cubemapMaterial === null && (this._cubemapMaterial = ba()), this._cubemapMaterial.uniforms.flipEnvMap.value = e.isRenderTargetTexture === !1 ? -1 : 1) : this._equirectMaterial === null && (this._equirectMaterial = Ta()); + const s = r ? this._cubemapMaterial : this._equirectMaterial, o = new Ot(this._lodPlanes[0], s), a = s.uniforms; + a.envMap.value = e; + const l = this._cubeSize; + Xi(t, 0, 0, 3 * l, 2 * l), n.setRenderTarget(t), n.render(o, Br); + } + _applyPMREM(e) { + const t = this._renderer, n = t.autoClear; + t.autoClear = !1; + for (let r = 1; r < this._lodPlanes.length; r++) { + const s = Math.sqrt(this._sigmas[r] * this._sigmas[r] - this._sigmas[r - 1] * this._sigmas[r - 1]), o = Sa[(r - 1) % Sa.length]; + this._blur(e, r - 1, r, s, o); + } + t.autoClear = n; + } + /** + * This is a two-pass Gaussian blur for a cubemap. Normally this is done + * vertically and horizontally, but this breaks down on a cube. Here we apply + * the blur latitudinally (around the poles), and then longitudinally (towards + * the poles) to approximate the orthogonally-separable blur. It is least + * accurate at the poles, but still does a decent job. + */ + _blur(e, t, n, r, s) { + const o = this._pingPongRenderTarget; + this._halfBlur( + e, + o, + t, + n, + r, + "latitudinal", + s + ), this._halfBlur( + o, + e, + n, + n, + r, + "longitudinal", + s + ); + } + _halfBlur(e, t, n, r, s, o, a) { + const l = this._renderer, c = this._blurMaterial; + o !== "latitudinal" && o !== "longitudinal" && console.error( + "blur direction must be either latitudinal or longitudinal!" + ); + const h = 3, d = new Ot(this._lodPlanes[r], c), p = c.uniforms, m = this._sizeLods[n] - 1, g = isFinite(s) ? Math.PI / (2 * m) : 2 * Math.PI / (2 * Sn - 1), v = s / g, f = isFinite(s) ? 1 + Math.floor(h * v) : Sn; + f > Sn && console.warn(`sigmaRadians, ${s}, is too large and will clip, as it requested ${f} samples when the maximum is set to ${Sn}`); + const u = []; + let b = 0; + for (let A = 0; A < Sn; ++A) { + const W = A / v, x = Math.exp(-W * W / 2); + u.push(x), A === 0 ? b += x : A < f && (b += 2 * x); + } + for (let A = 0; A < u.length; A++) + u[A] = u[A] / b; + p.envMap.value = e.texture, p.samples.value = f, p.weights.value = u, p.latitudinal.value = o === "latitudinal", a && (p.poleAxis.value = a); + const { _lodMax: S } = this; + p.dTheta.value = g, p.mipInt.value = S - n; + const R = this._sizeLods[r], D = 3 * R * (r > S - Kn ? r - S + Kn : 0), C = 4 * (this._cubeSize - R); + Xi(t, D, C, 3 * R, 2 * R), l.setRenderTarget(t), l.render(d, Br); + } +} +function rd(i) { + const e = [], t = [], n = []; + let r = i; + const s = i - Kn + 1 + xa.length; + for (let o = 0; o < s; o++) { + const a = Math.pow(2, r); + t.push(a); + let l = 1 / a; + o > i - Kn ? l = xa[o - i + Kn - 1] : o === 0 && (l = 0), n.push(l); + const c = 1 / (a - 2), h = -c, d = 1 + c, p = [h, h, d, h, d, d, h, h, d, d, h, d], m = 6, g = 6, v = 3, f = 2, u = 1, b = new Float32Array(v * g * m), S = new Float32Array(f * g * m), R = new Float32Array(u * g * m); + for (let C = 0; C < m; C++) { + const A = C % 3 * 2 / 3 - 1, W = C > 2 ? 0 : -1, x = [ + A, + W, + 0, + A + 2 / 3, + W, + 0, + A + 2 / 3, + W + 1, + 0, + A, + W, + 0, + A + 2 / 3, + W + 1, + 0, + A, + W + 1, + 0 + ]; + b.set(x, v * g * C), S.set(p, f * g * C); + const y = [C, C, C, C, C, C]; + R.set(y, u * g * C); + } + const D = new hn(); + D.setAttribute("position", new Bt(b, v)), D.setAttribute("uv", new Bt(S, f)), D.setAttribute("faceIndex", new Bt(R, u)), e.push(D), r > Kn && r--; + } + return { lodPlanes: e, sizeLods: t, sigmas: n }; +} +function ya(i, e, t) { + const n = new bn(i, e, t); + return n.texture.mapping = rr, n.texture.name = "PMREM.cubeUv", n.scissorTest = !0, n; +} +function Xi(i, e, t, n, r) { + i.viewport.set(e, t, n, r), i.scissor.set(e, t, n, r); +} +function sd(i, e, t) { + const n = new Float32Array(Sn), r = new P(0, 1, 0); + return new wn({ + name: "SphericalGaussianBlur", + defines: { + n: Sn, + CUBEUV_TEXEL_WIDTH: 1 / e, + CUBEUV_TEXEL_HEIGHT: 1 / t, + CUBEUV_MAX_MIP: `${i}.0` + }, + uniforms: { + envMap: { value: null }, + samples: { value: 1 }, + weights: { value: n }, + latitudinal: { value: !1 }, + dTheta: { value: 0 }, + mipInt: { value: 0 }, + poleAxis: { value: r } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform int samples; + uniform float weights[ n ]; + uniform bool latitudinal; + uniform float dTheta; + uniform float mipInt; + uniform vec3 poleAxis; + + #define ENVMAP_TYPE_CUBE_UV + #include + + vec3 getSample( float theta, vec3 axis ) { + + float cosTheta = cos( theta ); + // Rodrigues' axis-angle rotation + vec3 sampleDirection = vOutputDirection * cosTheta + + cross( axis, vOutputDirection ) * sin( theta ) + + axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta ); + + return bilinearCubeUV( envMap, sampleDirection, mipInt ); + + } + + void main() { + + vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection ); + + if ( all( equal( axis, vec3( 0.0 ) ) ) ) { + + axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x ); + + } + + axis = normalize( axis ); + + gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis ); + + for ( int i = 1; i < n; i++ ) { + + if ( i >= samples ) { + + break; + + } + + float theta = dTheta * float( i ); + gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis ); + gl_FragColor.rgb += weights[ i ] * getSample( theta, axis ); + + } + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function Ta() { + return new wn({ + name: "EquirectangularToCubeUV", + uniforms: { + envMap: { value: null } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + + #include + + void main() { + + vec3 outputDirection = normalize( vOutputDirection ); + vec2 uv = equirectUv( outputDirection ); + + gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 ); + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function ba() { + return new wn({ + name: "CubemapToCubeUV", + uniforms: { + envMap: { value: null }, + flipEnvMap: { value: -1 } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + uniform float flipEnvMap; + + varying vec3 vOutputDirection; + + uniform samplerCube envMap; + + void main() { + + gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) ); + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function hs() { + return ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + attribute float faceIndex; + + varying vec3 vOutputDirection; + + // RH coordinate system; PMREM face-indexing convention + vec3 getDirection( vec2 uv, float face ) { + + uv = 2.0 * uv - 1.0; + + vec3 direction = vec3( uv, 1.0 ); + + if ( face == 0.0 ) { + + direction = direction.zyx; // ( 1, v, u ) pos x + + } else if ( face == 1.0 ) { + + direction = direction.xzy; + direction.xz *= -1.0; // ( -u, 1, -v ) pos y + + } else if ( face == 2.0 ) { + + direction.x *= -1.0; // ( -u, v, 1 ) pos z + + } else if ( face == 3.0 ) { + + direction = direction.zyx; + direction.xz *= -1.0; // ( -1, v, -u ) neg x + + } else if ( face == 4.0 ) { + + direction = direction.xzy; + direction.xy *= -1.0; // ( -u, -1, v ) neg y + + } else if ( face == 5.0 ) { + + direction.z *= -1.0; // ( u, v, -1 ) neg z + + } + + return direction; + + } + + void main() { + + vOutputDirection = getDirection( uv, faceIndex ); + gl_Position = vec4( position, 1.0 ); + + } + ` + ); +} +function ad(i) { + let e = /* @__PURE__ */ new WeakMap(), t = null; + function n(a) { + if (a && a.isTexture) { + const l = a.mapping, c = l === $r || l === Jr, h = l === Qn || l === ei; + if (c || h) + if (a.isRenderTargetTexture && a.needsPMREMUpdate === !0) { + a.needsPMREMUpdate = !1; + let d = e.get(a); + return t === null && (t = new Ea(i)), d = c ? t.fromEquirectangular(a, d) : t.fromCubemap(a, d), e.set(a, d), d.texture; + } else { + if (e.has(a)) + return e.get(a).texture; + { + const d = a.image; + if (c && d && d.height > 0 || h && d && r(d)) { + t === null && (t = new Ea(i)); + const p = c ? t.fromEquirectangular(a) : t.fromCubemap(a); + return e.set(a, p), a.addEventListener("dispose", s), p.texture; + } else + return null; + } + } + } + return a; + } + function r(a) { + let l = 0; + const c = 6; + for (let h = 0; h < c; h++) + a[h] !== void 0 && l++; + return l === c; + } + function s(a) { + const l = a.target; + l.removeEventListener("dispose", s); + const c = e.get(l); + c !== void 0 && (e.delete(l), c.dispose()); + } + function o() { + e = /* @__PURE__ */ new WeakMap(), t !== null && (t.dispose(), t = null); + } + return { + get: n, + dispose: o + }; +} +function od(i) { + const e = {}; + function t(n) { + if (e[n] !== void 0) + return e[n]; + let r; + switch (n) { + case "WEBGL_depth_texture": + r = i.getExtension("WEBGL_depth_texture") || i.getExtension("MOZ_WEBGL_depth_texture") || i.getExtension("WEBKIT_WEBGL_depth_texture"); + break; + case "EXT_texture_filter_anisotropic": + r = i.getExtension("EXT_texture_filter_anisotropic") || i.getExtension("MOZ_EXT_texture_filter_anisotropic") || i.getExtension("WEBKIT_EXT_texture_filter_anisotropic"); + break; + case "WEBGL_compressed_texture_s3tc": + r = i.getExtension("WEBGL_compressed_texture_s3tc") || i.getExtension("MOZ_WEBGL_compressed_texture_s3tc") || i.getExtension("WEBKIT_WEBGL_compressed_texture_s3tc"); + break; + case "WEBGL_compressed_texture_pvrtc": + r = i.getExtension("WEBGL_compressed_texture_pvrtc") || i.getExtension("WEBKIT_WEBGL_compressed_texture_pvrtc"); + break; + default: + r = i.getExtension(n); + } + return e[n] = r, r; + } + return { + has: function(n) { + return t(n) !== null; + }, + init: function(n) { + n.isWebGL2 ? (t("EXT_color_buffer_float"), t("WEBGL_clip_cull_distance")) : (t("WEBGL_depth_texture"), t("OES_texture_float"), t("OES_texture_half_float"), t("OES_texture_half_float_linear"), t("OES_standard_derivatives"), t("OES_element_index_uint"), t("OES_vertex_array_object"), t("ANGLE_instanced_arrays")), t("OES_texture_float_linear"), t("EXT_color_buffer_half_float"), t("WEBGL_multisampled_render_to_texture"); + }, + get: function(n) { + const r = t(n); + return r === null && console.warn("THREE.WebGLRenderer: " + n + " extension not supported."), r; + } + }; +} +function ld(i, e, t, n) { + const r = {}, s = /* @__PURE__ */ new WeakMap(); + function o(d) { + const p = d.target; + p.index !== null && e.remove(p.index); + for (const g in p.attributes) + e.remove(p.attributes[g]); + for (const g in p.morphAttributes) { + const v = p.morphAttributes[g]; + for (let f = 0, u = v.length; f < u; f++) + e.remove(v[f]); + } + p.removeEventListener("dispose", o), delete r[p.id]; + const m = s.get(p); + m && (e.remove(m), s.delete(p)), n.releaseStatesOfGeometry(p), p.isInstancedBufferGeometry === !0 && delete p._maxInstanceCount, t.memory.geometries--; + } + function a(d, p) { + return r[p.id] === !0 || (p.addEventListener("dispose", o), r[p.id] = !0, t.memory.geometries++), p; + } + function l(d) { + const p = d.attributes; + for (const g in p) + e.update(p[g], i.ARRAY_BUFFER); + const m = d.morphAttributes; + for (const g in m) { + const v = m[g]; + for (let f = 0, u = v.length; f < u; f++) + e.update(v[f], i.ARRAY_BUFFER); + } + } + function c(d) { + const p = [], m = d.index, g = d.attributes.position; + let v = 0; + if (m !== null) { + const b = m.array; + v = m.version; + for (let S = 0, R = b.length; S < R; S += 3) { + const D = b[S + 0], C = b[S + 1], A = b[S + 2]; + p.push(D, C, C, A, A, D); + } + } else if (g !== void 0) { + const b = g.array; + v = g.version; + for (let S = 0, R = b.length / 3 - 1; S < R; S += 3) { + const D = S + 0, C = S + 1, A = S + 2; + p.push(D, C, C, A, A, D); + } + } else + return; + const f = new (Mo(p) ? Ro : wo)(p, 1); + f.version = v; + const u = s.get(d); + u && e.remove(u), s.set(d, f); + } + function h(d) { + const p = s.get(d); + if (p) { + const m = d.index; + m !== null && p.version < m.version && c(d); + } else + c(d); + return s.get(d); + } + return { + get: a, + update: l, + getWireframeAttribute: h + }; +} +function cd(i, e, t, n) { + const r = n.isWebGL2; + let s; + function o(m) { + s = m; + } + let a, l; + function c(m) { + a = m.type, l = m.bytesPerElement; + } + function h(m, g) { + i.drawElements(s, g, a, m * l), t.update(g, s, 1); + } + function d(m, g, v) { + if (v === 0) return; + let f, u; + if (r) + f = i, u = "drawElementsInstanced"; + else if (f = e.get("ANGLE_instanced_arrays"), u = "drawElementsInstancedANGLE", f === null) { + console.error("THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); + return; + } + f[u](s, g, a, m * l, v), t.update(g, s, v); + } + function p(m, g, v) { + if (v === 0) return; + const f = e.get("WEBGL_multi_draw"); + if (f === null) + for (let u = 0; u < v; u++) + this.render(m[u] / l, g[u]); + else { + f.multiDrawElementsWEBGL(s, g, 0, a, m, 0, v); + let u = 0; + for (let b = 0; b < v; b++) + u += g[b]; + t.update(u, s, 1); + } + } + this.setMode = o, this.setIndex = c, this.render = h, this.renderInstances = d, this.renderMultiDraw = p; +} +function ud(i) { + const e = { + geometries: 0, + textures: 0 + }, t = { + frame: 0, + calls: 0, + triangles: 0, + points: 0, + lines: 0 + }; + function n(s, o, a) { + switch (t.calls++, o) { + case i.TRIANGLES: + t.triangles += a * (s / 3); + break; + case i.LINES: + t.lines += a * (s / 2); + break; + case i.LINE_STRIP: + t.lines += a * (s - 1); + break; + case i.LINE_LOOP: + t.lines += a * s; + break; + case i.POINTS: + t.points += a * s; + break; + default: + console.error("THREE.WebGLInfo: Unknown draw mode:", o); + break; + } + } + function r() { + t.calls = 0, t.triangles = 0, t.points = 0, t.lines = 0; + } + return { + memory: e, + render: t, + programs: null, + autoReset: !0, + reset: r, + update: n + }; +} +function hd(i, e) { + return i[0] - e[0]; +} +function dd(i, e) { + return Math.abs(e[1]) - Math.abs(i[1]); +} +function fd(i, e, t) { + const n = {}, r = new Float32Array(8), s = /* @__PURE__ */ new WeakMap(), o = new $e(), a = []; + for (let c = 0; c < 8; c++) + a[c] = [c, 0]; + function l(c, h, d) { + const p = c.morphTargetInfluences; + if (e.isWebGL2 === !0) { + const m = h.morphAttributes.position || h.morphAttributes.normal || h.morphAttributes.color, g = m !== void 0 ? m.length : 0; + let v = s.get(h); + if (v === void 0 || v.count !== g) { + let L = function() { + Z.dispose(), s.delete(h), h.removeEventListener("dispose", L); + }; + v !== void 0 && v.texture.dispose(); + const b = h.morphAttributes.position !== void 0, S = h.morphAttributes.normal !== void 0, R = h.morphAttributes.color !== void 0, D = h.morphAttributes.position || [], C = h.morphAttributes.normal || [], A = h.morphAttributes.color || []; + let W = 0; + b === !0 && (W = 1), S === !0 && (W = 2), R === !0 && (W = 3); + let x = h.attributes.position.count * W, y = 1; + x > e.maxTextureSize && (y = Math.ceil(x / e.maxTextureSize), x = e.maxTextureSize); + const z = new Float32Array(x * y * 4 * g), Z = new yo(z, x, y, g); + Z.type = an, Z.needsUpdate = !0; + const re = W * 4; + for (let F = 0; F < g; F++) { + const V = D[F], Y = C[F], X = A[F], k = x * y * 4 * F; + for (let q = 0; q < V.count; q++) { + const Q = q * re; + b === !0 && (o.fromBufferAttribute(V, q), z[k + Q + 0] = o.x, z[k + Q + 1] = o.y, z[k + Q + 2] = o.z, z[k + Q + 3] = 0), S === !0 && (o.fromBufferAttribute(Y, q), z[k + Q + 4] = o.x, z[k + Q + 5] = o.y, z[k + Q + 6] = o.z, z[k + Q + 7] = 0), R === !0 && (o.fromBufferAttribute(X, q), z[k + Q + 8] = o.x, z[k + Q + 9] = o.y, z[k + Q + 10] = o.z, z[k + Q + 11] = X.itemSize === 4 ? o.w : 1); + } + } + v = { + count: g, + texture: Z, + size: new Ie(x, y) + }, s.set(h, v), h.addEventListener("dispose", L); + } + let f = 0; + for (let b = 0; b < p.length; b++) + f += p[b]; + const u = h.morphTargetsRelative ? 1 : 1 - f; + d.getUniforms().setValue(i, "morphTargetBaseInfluence", u), d.getUniforms().setValue(i, "morphTargetInfluences", p), d.getUniforms().setValue(i, "morphTargetsTexture", v.texture, t), d.getUniforms().setValue(i, "morphTargetsTextureSize", v.size); + } else { + const m = p === void 0 ? 0 : p.length; + let g = n[h.id]; + if (g === void 0 || g.length !== m) { + g = []; + for (let S = 0; S < m; S++) + g[S] = [S, 0]; + n[h.id] = g; + } + for (let S = 0; S < m; S++) { + const R = g[S]; + R[0] = S, R[1] = p[S]; + } + g.sort(dd); + for (let S = 0; S < 8; S++) + S < m && g[S][1] ? (a[S][0] = g[S][0], a[S][1] = g[S][1]) : (a[S][0] = Number.MAX_SAFE_INTEGER, a[S][1] = 0); + a.sort(hd); + const v = h.morphAttributes.position, f = h.morphAttributes.normal; + let u = 0; + for (let S = 0; S < 8; S++) { + const R = a[S], D = R[0], C = R[1]; + D !== Number.MAX_SAFE_INTEGER && C ? (v && h.getAttribute("morphTarget" + S) !== v[D] && h.setAttribute("morphTarget" + S, v[D]), f && h.getAttribute("morphNormal" + S) !== f[D] && h.setAttribute("morphNormal" + S, f[D]), r[S] = C, u += C) : (v && h.hasAttribute("morphTarget" + S) === !0 && h.deleteAttribute("morphTarget" + S), f && h.hasAttribute("morphNormal" + S) === !0 && h.deleteAttribute("morphNormal" + S), r[S] = 0); + } + const b = h.morphTargetsRelative ? 1 : 1 - u; + d.getUniforms().setValue(i, "morphTargetBaseInfluence", b), d.getUniforms().setValue(i, "morphTargetInfluences", r); + } + } + return { + update: l + }; +} +function pd(i, e, t, n) { + let r = /* @__PURE__ */ new WeakMap(); + function s(l) { + const c = n.render.frame, h = l.geometry, d = e.get(l, h); + if (r.get(d) !== c && (e.update(d), r.set(d, c)), l.isInstancedMesh && (l.hasEventListener("dispose", a) === !1 && l.addEventListener("dispose", a), r.get(l) !== c && (t.update(l.instanceMatrix, i.ARRAY_BUFFER), l.instanceColor !== null && t.update(l.instanceColor, i.ARRAY_BUFFER), r.set(l, c))), l.isSkinnedMesh) { + const p = l.skeleton; + r.get(p) !== c && (p.update(), r.set(p, c)); + } + return d; + } + function o() { + r = /* @__PURE__ */ new WeakMap(); + } + function a(l) { + const c = l.target; + c.removeEventListener("dispose", a), t.remove(c.instanceMatrix), c.instanceColor !== null && t.remove(c.instanceColor); + } + return { + update: s, + dispose: o + }; +} +class Io extends bt { + constructor(e, t, n, r, s, o, a, l, c, h) { + if (h = h !== void 0 ? h : yn, h !== yn && h !== ti) + throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat"); + n === void 0 && h === yn && (n = sn), n === void 0 && h === ti && (n = En), super(null, r, s, o, a, l, h, n, c), this.isDepthTexture = !0, this.image = { width: e, height: t }, this.magFilter = a !== void 0 ? a : gt, this.minFilter = l !== void 0 ? l : gt, this.flipY = !1, this.generateMipmaps = !1, this.compareFunction = null; + } + copy(e) { + return super.copy(e), this.compareFunction = e.compareFunction, this; + } + toJSON(e) { + const t = super.toJSON(e); + return this.compareFunction !== null && (t.compareFunction = this.compareFunction), t; + } +} +const No = /* @__PURE__ */ new bt(), Fo = /* @__PURE__ */ new Io(1, 1); +Fo.compareFunction = xo; +const Oo = /* @__PURE__ */ new yo(), Bo = /* @__PURE__ */ new Jl(), zo = /* @__PURE__ */ new Po(), Aa = [], wa = [], Ra = new Float32Array(16), Ca = new Float32Array(9), La = new Float32Array(4); +function ri(i, e, t) { + const n = i[0]; + if (n <= 0 || n > 0) return i; + const r = e * t; + let s = Aa[r]; + if (s === void 0 && (s = new Float32Array(r), Aa[r] = s), e !== 0) { + n.toArray(s, 0); + for (let o = 1, a = 0; o !== e; ++o) + a += t, i[o].toArray(s, a); + } + return s; +} +function ot(i, e) { + if (i.length !== e.length) return !1; + for (let t = 0, n = i.length; t < n; t++) + if (i[t] !== e[t]) return !1; + return !0; +} +function lt(i, e) { + for (let t = 0, n = e.length; t < n; t++) + i[t] = e[t]; +} +function or(i, e) { + let t = wa[e]; + t === void 0 && (t = new Int32Array(e), wa[e] = t); + for (let n = 0; n !== e; ++n) + t[n] = i.allocateTextureUnit(); + return t; +} +function md(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1f(this.addr, e), t[0] = e); +} +function _d(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2f(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2fv(this.addr, e), lt(t, e); + } +} +function gd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3f(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else if (e.r !== void 0) + (t[0] !== e.r || t[1] !== e.g || t[2] !== e.b) && (i.uniform3f(this.addr, e.r, e.g, e.b), t[0] = e.r, t[1] = e.g, t[2] = e.b); + else { + if (ot(t, e)) return; + i.uniform3fv(this.addr, e), lt(t, e); + } +} +function vd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4f(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4fv(this.addr, e), lt(t, e); + } +} +function xd(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix2fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + La.set(n), i.uniformMatrix2fv(this.addr, !1, La), lt(t, n); + } +} +function Md(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix3fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + Ca.set(n), i.uniformMatrix3fv(this.addr, !1, Ca), lt(t, n); + } +} +function Sd(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix4fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + Ra.set(n), i.uniformMatrix4fv(this.addr, !1, Ra), lt(t, n); + } +} +function Ed(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1i(this.addr, e), t[0] = e); +} +function yd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2i(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2iv(this.addr, e), lt(t, e); + } +} +function Td(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3i(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else { + if (ot(t, e)) return; + i.uniform3iv(this.addr, e), lt(t, e); + } +} +function bd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4i(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4iv(this.addr, e), lt(t, e); + } +} +function Ad(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1ui(this.addr, e), t[0] = e); +} +function wd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2ui(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2uiv(this.addr, e), lt(t, e); + } +} +function Rd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3ui(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else { + if (ot(t, e)) return; + i.uniform3uiv(this.addr, e), lt(t, e); + } +} +function Cd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4ui(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4uiv(this.addr, e), lt(t, e); + } +} +function Ld(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r); + const s = this.type === i.SAMPLER_2D_SHADOW ? Fo : No; + t.setTexture2D(e || s, r); +} +function Pd(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTexture3D(e || Bo, r); +} +function Dd(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTextureCube(e || zo, r); +} +function Ud(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTexture2DArray(e || Oo, r); +} +function Id(i) { + switch (i) { + case 5126: + return md; + case 35664: + return _d; + case 35665: + return gd; + case 35666: + return vd; + case 35674: + return xd; + case 35675: + return Md; + case 35676: + return Sd; + case 5124: + case 35670: + return Ed; + case 35667: + case 35671: + return yd; + case 35668: + case 35672: + return Td; + case 35669: + case 35673: + return bd; + case 5125: + return Ad; + case 36294: + return wd; + case 36295: + return Rd; + case 36296: + return Cd; + case 35678: + case 36198: + case 36298: + case 36306: + case 35682: + return Ld; + case 35679: + case 36299: + case 36307: + return Pd; + case 35680: + case 36300: + case 36308: + case 36293: + return Dd; + case 36289: + case 36303: + case 36311: + case 36292: + return Ud; + } +} +function Nd(i, e) { + i.uniform1fv(this.addr, e); +} +function Fd(i, e) { + const t = ri(e, this.size, 2); + i.uniform2fv(this.addr, t); +} +function Od(i, e) { + const t = ri(e, this.size, 3); + i.uniform3fv(this.addr, t); +} +function Bd(i, e) { + const t = ri(e, this.size, 4); + i.uniform4fv(this.addr, t); +} +function zd(i, e) { + const t = ri(e, this.size, 4); + i.uniformMatrix2fv(this.addr, !1, t); +} +function Gd(i, e) { + const t = ri(e, this.size, 9); + i.uniformMatrix3fv(this.addr, !1, t); +} +function Hd(i, e) { + const t = ri(e, this.size, 16); + i.uniformMatrix4fv(this.addr, !1, t); +} +function Vd(i, e) { + i.uniform1iv(this.addr, e); +} +function kd(i, e) { + i.uniform2iv(this.addr, e); +} +function Wd(i, e) { + i.uniform3iv(this.addr, e); +} +function Xd(i, e) { + i.uniform4iv(this.addr, e); +} +function qd(i, e) { + i.uniform1uiv(this.addr, e); +} +function Yd(i, e) { + i.uniform2uiv(this.addr, e); +} +function jd(i, e) { + i.uniform3uiv(this.addr, e); +} +function Kd(i, e) { + i.uniform4uiv(this.addr, e); +} +function Zd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture2D(e[o] || No, s[o]); +} +function $d(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture3D(e[o] || Bo, s[o]); +} +function Jd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTextureCube(e[o] || zo, s[o]); +} +function Qd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture2DArray(e[o] || Oo, s[o]); +} +function ef(i) { + switch (i) { + case 5126: + return Nd; + case 35664: + return Fd; + case 35665: + return Od; + case 35666: + return Bd; + case 35674: + return zd; + case 35675: + return Gd; + case 35676: + return Hd; + case 5124: + case 35670: + return Vd; + case 35667: + case 35671: + return kd; + case 35668: + case 35672: + return Wd; + case 35669: + case 35673: + return Xd; + case 5125: + return qd; + case 36294: + return Yd; + case 36295: + return jd; + case 36296: + return Kd; + case 35678: + case 36198: + case 36298: + case 36306: + case 35682: + return Zd; + case 35679: + case 36299: + case 36307: + return $d; + case 35680: + case 36300: + case 36308: + case 36293: + return Jd; + case 36289: + case 36303: + case 36311: + case 36292: + return Qd; + } +} +class tf { + constructor(e, t, n) { + this.id = e, this.addr = n, this.cache = [], this.type = t.type, this.setValue = Id(t.type); + } +} +class nf { + constructor(e, t, n) { + this.id = e, this.addr = n, this.cache = [], this.type = t.type, this.size = t.size, this.setValue = ef(t.type); + } +} +class rf { + constructor(e) { + this.id = e, this.seq = [], this.map = {}; + } + setValue(e, t, n) { + const r = this.seq; + for (let s = 0, o = r.length; s !== o; ++s) { + const a = r[s]; + a.setValue(e, t[a.id], n); + } + } +} +const Vr = /(\w+)(\])?(\[|\.)?/g; +function Pa(i, e) { + i.seq.push(e), i.map[e.id] = e; +} +function sf(i, e, t) { + const n = i.name, r = n.length; + for (Vr.lastIndex = 0; ; ) { + const s = Vr.exec(n), o = Vr.lastIndex; + let a = s[1]; + const l = s[2] === "]", c = s[3]; + if (l && (a = a | 0), c === void 0 || c === "[" && o + 2 === r) { + Pa(t, c === void 0 ? new tf(a, i, e) : new nf(a, i, e)); + break; + } else { + let d = t.map[a]; + d === void 0 && (d = new rf(a), Pa(t, d)), t = d; + } + } +} +class Zi { + constructor(e, t) { + this.seq = [], this.map = {}; + const n = e.getProgramParameter(t, e.ACTIVE_UNIFORMS); + for (let r = 0; r < n; ++r) { + const s = e.getActiveUniform(t, r), o = e.getUniformLocation(t, s.name); + sf(s, o, this); + } + } + setValue(e, t, n, r) { + const s = this.map[t]; + s !== void 0 && s.setValue(e, n, r); + } + setOptional(e, t, n) { + const r = t[n]; + r !== void 0 && this.setValue(e, n, r); + } + static upload(e, t, n, r) { + for (let s = 0, o = t.length; s !== o; ++s) { + const a = t[s], l = n[a.id]; + l.needsUpdate !== !1 && a.setValue(e, l.value, r); + } + } + static seqWithValue(e, t) { + const n = []; + for (let r = 0, s = e.length; r !== s; ++r) { + const o = e[r]; + o.id in t && n.push(o); + } + return n; + } +} +function Da(i, e, t) { + const n = i.createShader(e); + return i.shaderSource(n, t), i.compileShader(n), n; +} +const af = 37297; +let of = 0; +function lf(i, e) { + const t = i.split(` +`), n = [], r = Math.max(e - 6, 0), s = Math.min(e + 6, t.length); + for (let o = r; o < s; o++) { + const a = o + 1; + n.push(`${a === e ? ">" : " "} ${a}: ${t[o]}`); + } + return n.join(` +`); +} +function cf(i) { + const e = Ke.getPrimaries(Ke.workingColorSpace), t = Ke.getPrimaries(i); + let n; + switch (e === t ? n = "" : e === er && t === Qi ? n = "LinearDisplayP3ToLinearSRGB" : e === Qi && t === er && (n = "LinearSRGBToLinearDisplayP3"), i) { + case $t: + case sr: + return [n, "LinearTransferOETF"]; + case ht: + case os: + return [n, "sRGBTransferOETF"]; + default: + return console.warn("THREE.WebGLProgram: Unsupported color space:", i), [n, "LinearTransferOETF"]; + } +} +function Ua(i, e, t) { + const n = i.getShaderParameter(e, i.COMPILE_STATUS), r = i.getShaderInfoLog(e).trim(); + if (n && r === "") return ""; + const s = /ERROR: 0:(\d+)/.exec(r); + if (s) { + const o = parseInt(s[1]); + return t.toUpperCase() + ` + +` + r + ` + +` + lf(i.getShaderSource(e), o); + } else + return r; +} +function uf(i, e) { + const t = cf(e); + return `vec4 ${i}( vec4 value ) { return ${t[0]}( ${t[1]}( value ) ); }`; +} +function hf(i, e) { + let t; + switch (e) { + case Ml: + t = "Linear"; + break; + case Sl: + t = "Reinhard"; + break; + case El: + t = "OptimizedCineon"; + break; + case yl: + t = "ACESFilmic"; + break; + case bl: + t = "AgX"; + break; + case Tl: + t = "Custom"; + break; + default: + console.warn("THREE.WebGLProgram: Unsupported toneMapping:", e), t = "Linear"; + } + return "vec3 " + i + "( vec3 color ) { return " + t + "ToneMapping( color ); }"; +} +function df(i) { + return [ + i.extensionDerivatives || i.envMapCubeUVHeight || i.bumpMap || i.normalMapTangentSpace || i.clearcoatNormalMap || i.flatShading || i.shaderID === "physical" ? "#extension GL_OES_standard_derivatives : enable" : "", + (i.extensionFragDepth || i.logarithmicDepthBuffer) && i.rendererExtensionFragDepth ? "#extension GL_EXT_frag_depth : enable" : "", + i.extensionDrawBuffers && i.rendererExtensionDrawBuffers ? "#extension GL_EXT_draw_buffers : require" : "", + (i.extensionShaderTextureLOD || i.envMap || i.transmission) && i.rendererExtensionShaderTextureLod ? "#extension GL_EXT_shader_texture_lod : enable" : "" + ].filter(Zn).join(` +`); +} +function ff(i) { + return [ + i.extensionClipCullDistance ? "#extension GL_ANGLE_clip_cull_distance : require" : "" + ].filter(Zn).join(` +`); +} +function pf(i) { + const e = []; + for (const t in i) { + const n = i[t]; + n !== !1 && e.push("#define " + t + " " + n); + } + return e.join(` +`); +} +function mf(i, e) { + const t = {}, n = i.getProgramParameter(e, i.ACTIVE_ATTRIBUTES); + for (let r = 0; r < n; r++) { + const s = i.getActiveAttrib(e, r), o = s.name; + let a = 1; + s.type === i.FLOAT_MAT2 && (a = 2), s.type === i.FLOAT_MAT3 && (a = 3), s.type === i.FLOAT_MAT4 && (a = 4), t[o] = { + type: s.type, + location: i.getAttribLocation(e, o), + locationSize: a + }; + } + return t; +} +function Zn(i) { + return i !== ""; +} +function Ia(i, e) { + const t = e.numSpotLightShadows + e.numSpotLightMaps - e.numSpotLightShadowsWithMaps; + return i.replace(/NUM_DIR_LIGHTS/g, e.numDirLights).replace(/NUM_SPOT_LIGHTS/g, e.numSpotLights).replace(/NUM_SPOT_LIGHT_MAPS/g, e.numSpotLightMaps).replace(/NUM_SPOT_LIGHT_COORDS/g, t).replace(/NUM_RECT_AREA_LIGHTS/g, e.numRectAreaLights).replace(/NUM_POINT_LIGHTS/g, e.numPointLights).replace(/NUM_HEMI_LIGHTS/g, e.numHemiLights).replace(/NUM_DIR_LIGHT_SHADOWS/g, e.numDirLightShadows).replace(/NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g, e.numSpotLightShadowsWithMaps).replace(/NUM_SPOT_LIGHT_SHADOWS/g, e.numSpotLightShadows).replace(/NUM_POINT_LIGHT_SHADOWS/g, e.numPointLightShadows); +} +function Na(i, e) { + return i.replace(/NUM_CLIPPING_PLANES/g, e.numClippingPlanes).replace(/UNION_CLIPPING_PLANES/g, e.numClippingPlanes - e.numClipIntersection); +} +const _f = /^[ \t]*#include +<([\w\d./]+)>/gm; +function rs(i) { + return i.replace(_f, vf); +} +const gf = /* @__PURE__ */ new Map([ + ["encodings_fragment", "colorspace_fragment"], + // @deprecated, r154 + ["encodings_pars_fragment", "colorspace_pars_fragment"], + // @deprecated, r154 + ["output_fragment", "opaque_fragment"] + // @deprecated, r154 +]); +function vf(i, e) { + let t = Be[e]; + if (t === void 0) { + const n = gf.get(e); + if (n !== void 0) + t = Be[n], console.warn('THREE.WebGLRenderer: Shader chunk "%s" has been deprecated. Use "%s" instead.', e, n); + else + throw new Error("Can not resolve #include <" + e + ">"); + } + return rs(t); +} +const xf = /#pragma unroll_loop_start\s+for\s*\(\s*int\s+i\s*=\s*(\d+)\s*;\s*i\s*<\s*(\d+)\s*;\s*i\s*\+\+\s*\)\s*{([\s\S]+?)}\s+#pragma unroll_loop_end/g; +function Fa(i) { + return i.replace(xf, Mf); +} +function Mf(i, e, t, n) { + let r = ""; + for (let s = parseInt(e); s < parseInt(t); s++) + r += n.replace(/\[\s*i\s*\]/g, "[ " + s + " ]").replace(/UNROLLED_LOOP_INDEX/g, s); + return r; +} +function Oa(i) { + let e = "precision " + i.precision + ` float; +precision ` + i.precision + " int;"; + return i.precision === "highp" ? e += ` +#define HIGH_PRECISION` : i.precision === "mediump" ? e += ` +#define MEDIUM_PRECISION` : i.precision === "lowp" && (e += ` +#define LOW_PRECISION`), e; +} +function Sf(i) { + let e = "SHADOWMAP_TYPE_BASIC"; + return i.shadowMapType === so ? e = "SHADOWMAP_TYPE_PCF" : i.shadowMapType === ao ? e = "SHADOWMAP_TYPE_PCF_SOFT" : i.shadowMapType === jt && (e = "SHADOWMAP_TYPE_VSM"), e; +} +function Ef(i) { + let e = "ENVMAP_TYPE_CUBE"; + if (i.envMap) + switch (i.envMapMode) { + case Qn: + case ei: + e = "ENVMAP_TYPE_CUBE"; + break; + case rr: + e = "ENVMAP_TYPE_CUBE_UV"; + break; + } + return e; +} +function yf(i) { + let e = "ENVMAP_MODE_REFLECTION"; + if (i.envMap) + switch (i.envMapMode) { + case ei: + e = "ENVMAP_MODE_REFRACTION"; + break; + } + return e; +} +function Tf(i) { + let e = "ENVMAP_BLENDING_NONE"; + if (i.envMap) + switch (i.combine) { + case oo: + e = "ENVMAP_BLENDING_MULTIPLY"; + break; + case vl: + e = "ENVMAP_BLENDING_MIX"; + break; + case xl: + e = "ENVMAP_BLENDING_ADD"; + break; + } + return e; +} +function bf(i) { + const e = i.envMapCubeUVHeight; + if (e === null) return null; + const t = Math.log2(e) - 2, n = 1 / e; + return { texelWidth: 1 / (3 * Math.max(Math.pow(2, t), 7 * 16)), texelHeight: n, maxMip: t }; +} +function Af(i, e, t, n) { + const r = i.getContext(), s = t.defines; + let o = t.vertexShader, a = t.fragmentShader; + const l = Sf(t), c = Ef(t), h = yf(t), d = Tf(t), p = bf(t), m = t.isWebGL2 ? "" : df(t), g = ff(t), v = pf(s), f = r.createProgram(); + let u, b, S = t.glslVersion ? "#version " + t.glslVersion + ` +` : ""; + t.isRawShaderMaterial ? (u = [ + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v + ].filter(Zn).join(` +`), u.length > 0 && (u += ` +`), b = [ + m, + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v + ].filter(Zn).join(` +`), b.length > 0 && (b += ` +`)) : (u = [ + Oa(t), + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v, + t.extensionClipCullDistance ? "#define USE_CLIP_DISTANCE" : "", + t.batching ? "#define USE_BATCHING" : "", + t.instancing ? "#define USE_INSTANCING" : "", + t.instancingColor ? "#define USE_INSTANCING_COLOR" : "", + t.useFog && t.fog ? "#define USE_FOG" : "", + t.useFog && t.fogExp2 ? "#define FOG_EXP2" : "", + t.map ? "#define USE_MAP" : "", + t.envMap ? "#define USE_ENVMAP" : "", + t.envMap ? "#define " + h : "", + t.lightMap ? "#define USE_LIGHTMAP" : "", + t.aoMap ? "#define USE_AOMAP" : "", + t.bumpMap ? "#define USE_BUMPMAP" : "", + t.normalMap ? "#define USE_NORMALMAP" : "", + t.normalMapObjectSpace ? "#define USE_NORMALMAP_OBJECTSPACE" : "", + t.normalMapTangentSpace ? "#define USE_NORMALMAP_TANGENTSPACE" : "", + t.displacementMap ? "#define USE_DISPLACEMENTMAP" : "", + t.emissiveMap ? "#define USE_EMISSIVEMAP" : "", + t.anisotropy ? "#define USE_ANISOTROPY" : "", + t.anisotropyMap ? "#define USE_ANISOTROPYMAP" : "", + t.clearcoatMap ? "#define USE_CLEARCOATMAP" : "", + t.clearcoatRoughnessMap ? "#define USE_CLEARCOAT_ROUGHNESSMAP" : "", + t.clearcoatNormalMap ? "#define USE_CLEARCOAT_NORMALMAP" : "", + t.iridescenceMap ? "#define USE_IRIDESCENCEMAP" : "", + t.iridescenceThicknessMap ? "#define USE_IRIDESCENCE_THICKNESSMAP" : "", + t.specularMap ? "#define USE_SPECULARMAP" : "", + t.specularColorMap ? "#define USE_SPECULAR_COLORMAP" : "", + t.specularIntensityMap ? "#define USE_SPECULAR_INTENSITYMAP" : "", + t.roughnessMap ? "#define USE_ROUGHNESSMAP" : "", + t.metalnessMap ? "#define USE_METALNESSMAP" : "", + t.alphaMap ? "#define USE_ALPHAMAP" : "", + t.alphaHash ? "#define USE_ALPHAHASH" : "", + t.transmission ? "#define USE_TRANSMISSION" : "", + t.transmissionMap ? "#define USE_TRANSMISSIONMAP" : "", + t.thicknessMap ? "#define USE_THICKNESSMAP" : "", + t.sheenColorMap ? "#define USE_SHEEN_COLORMAP" : "", + t.sheenRoughnessMap ? "#define USE_SHEEN_ROUGHNESSMAP" : "", + // + t.mapUv ? "#define MAP_UV " + t.mapUv : "", + t.alphaMapUv ? "#define ALPHAMAP_UV " + t.alphaMapUv : "", + t.lightMapUv ? "#define LIGHTMAP_UV " + t.lightMapUv : "", + t.aoMapUv ? "#define AOMAP_UV " + t.aoMapUv : "", + t.emissiveMapUv ? "#define EMISSIVEMAP_UV " + t.emissiveMapUv : "", + t.bumpMapUv ? "#define BUMPMAP_UV " + t.bumpMapUv : "", + t.normalMapUv ? "#define NORMALMAP_UV " + t.normalMapUv : "", + t.displacementMapUv ? "#define DISPLACEMENTMAP_UV " + t.displacementMapUv : "", + t.metalnessMapUv ? "#define METALNESSMAP_UV " + t.metalnessMapUv : "", + t.roughnessMapUv ? "#define ROUGHNESSMAP_UV " + t.roughnessMapUv : "", + t.anisotropyMapUv ? "#define ANISOTROPYMAP_UV " + t.anisotropyMapUv : "", + t.clearcoatMapUv ? "#define CLEARCOATMAP_UV " + t.clearcoatMapUv : "", + t.clearcoatNormalMapUv ? "#define CLEARCOAT_NORMALMAP_UV " + t.clearcoatNormalMapUv : "", + t.clearcoatRoughnessMapUv ? "#define CLEARCOAT_ROUGHNESSMAP_UV " + t.clearcoatRoughnessMapUv : "", + t.iridescenceMapUv ? "#define IRIDESCENCEMAP_UV " + t.iridescenceMapUv : "", + t.iridescenceThicknessMapUv ? "#define IRIDESCENCE_THICKNESSMAP_UV " + t.iridescenceThicknessMapUv : "", + t.sheenColorMapUv ? "#define SHEEN_COLORMAP_UV " + t.sheenColorMapUv : "", + t.sheenRoughnessMapUv ? "#define SHEEN_ROUGHNESSMAP_UV " + t.sheenRoughnessMapUv : "", + t.specularMapUv ? "#define SPECULARMAP_UV " + t.specularMapUv : "", + t.specularColorMapUv ? "#define SPECULAR_COLORMAP_UV " + t.specularColorMapUv : "", + t.specularIntensityMapUv ? "#define SPECULAR_INTENSITYMAP_UV " + t.specularIntensityMapUv : "", + t.transmissionMapUv ? "#define TRANSMISSIONMAP_UV " + t.transmissionMapUv : "", + t.thicknessMapUv ? "#define THICKNESSMAP_UV " + t.thicknessMapUv : "", + // + t.vertexTangents && t.flatShading === !1 ? "#define USE_TANGENT" : "", + t.vertexColors ? "#define USE_COLOR" : "", + t.vertexAlphas ? "#define USE_COLOR_ALPHA" : "", + t.vertexUv1s ? "#define USE_UV1" : "", + t.vertexUv2s ? "#define USE_UV2" : "", + t.vertexUv3s ? "#define USE_UV3" : "", + t.pointsUvs ? "#define USE_POINTS_UV" : "", + t.flatShading ? "#define FLAT_SHADED" : "", + t.skinning ? "#define USE_SKINNING" : "", + t.morphTargets ? "#define USE_MORPHTARGETS" : "", + t.morphNormals && t.flatShading === !1 ? "#define USE_MORPHNORMALS" : "", + t.morphColors && t.isWebGL2 ? "#define USE_MORPHCOLORS" : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_TEXTURE" : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_TEXTURE_STRIDE " + t.morphTextureStride : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_COUNT " + t.morphTargetsCount : "", + t.doubleSided ? "#define DOUBLE_SIDED" : "", + t.flipSided ? "#define FLIP_SIDED" : "", + t.shadowMapEnabled ? "#define USE_SHADOWMAP" : "", + t.shadowMapEnabled ? "#define " + l : "", + t.sizeAttenuation ? "#define USE_SIZEATTENUATION" : "", + t.numLightProbes > 0 ? "#define USE_LIGHT_PROBES" : "", + t.useLegacyLights ? "#define LEGACY_LIGHTS" : "", + t.logarithmicDepthBuffer ? "#define USE_LOGDEPTHBUF" : "", + t.logarithmicDepthBuffer && t.rendererExtensionFragDepth ? "#define USE_LOGDEPTHBUF_EXT" : "", + "uniform mat4 modelMatrix;", + "uniform mat4 modelViewMatrix;", + "uniform mat4 projectionMatrix;", + "uniform mat4 viewMatrix;", + "uniform mat3 normalMatrix;", + "uniform vec3 cameraPosition;", + "uniform bool isOrthographic;", + "#ifdef USE_INSTANCING", + " attribute mat4 instanceMatrix;", + "#endif", + "#ifdef USE_INSTANCING_COLOR", + " attribute vec3 instanceColor;", + "#endif", + "attribute vec3 position;", + "attribute vec3 normal;", + "attribute vec2 uv;", + "#ifdef USE_UV1", + " attribute vec2 uv1;", + "#endif", + "#ifdef USE_UV2", + " attribute vec2 uv2;", + "#endif", + "#ifdef USE_UV3", + " attribute vec2 uv3;", + "#endif", + "#ifdef USE_TANGENT", + " attribute vec4 tangent;", + "#endif", + "#if defined( USE_COLOR_ALPHA )", + " attribute vec4 color;", + "#elif defined( USE_COLOR )", + " attribute vec3 color;", + "#endif", + "#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )", + " attribute vec3 morphTarget0;", + " attribute vec3 morphTarget1;", + " attribute vec3 morphTarget2;", + " attribute vec3 morphTarget3;", + " #ifdef USE_MORPHNORMALS", + " attribute vec3 morphNormal0;", + " attribute vec3 morphNormal1;", + " attribute vec3 morphNormal2;", + " attribute vec3 morphNormal3;", + " #else", + " attribute vec3 morphTarget4;", + " attribute vec3 morphTarget5;", + " attribute vec3 morphTarget6;", + " attribute vec3 morphTarget7;", + " #endif", + "#endif", + "#ifdef USE_SKINNING", + " attribute vec4 skinIndex;", + " attribute vec4 skinWeight;", + "#endif", + ` +` + ].filter(Zn).join(` +`), b = [ + m, + Oa(t), + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v, + t.useFog && t.fog ? "#define USE_FOG" : "", + t.useFog && t.fogExp2 ? "#define FOG_EXP2" : "", + t.map ? "#define USE_MAP" : "", + t.matcap ? "#define USE_MATCAP" : "", + t.envMap ? "#define USE_ENVMAP" : "", + t.envMap ? "#define " + c : "", + t.envMap ? "#define " + h : "", + t.envMap ? "#define " + d : "", + p ? "#define CUBEUV_TEXEL_WIDTH " + p.texelWidth : "", + p ? "#define CUBEUV_TEXEL_HEIGHT " + p.texelHeight : "", + p ? "#define CUBEUV_MAX_MIP " + p.maxMip + ".0" : "", + t.lightMap ? "#define USE_LIGHTMAP" : "", + t.aoMap ? "#define USE_AOMAP" : "", + t.bumpMap ? "#define USE_BUMPMAP" : "", + t.normalMap ? "#define USE_NORMALMAP" : "", + t.normalMapObjectSpace ? "#define USE_NORMALMAP_OBJECTSPACE" : "", + t.normalMapTangentSpace ? "#define USE_NORMALMAP_TANGENTSPACE" : "", + t.emissiveMap ? "#define USE_EMISSIVEMAP" : "", + t.anisotropy ? "#define USE_ANISOTROPY" : "", + t.anisotropyMap ? "#define USE_ANISOTROPYMAP" : "", + t.clearcoat ? "#define USE_CLEARCOAT" : "", + t.clearcoatMap ? "#define USE_CLEARCOATMAP" : "", + t.clearcoatRoughnessMap ? "#define USE_CLEARCOAT_ROUGHNESSMAP" : "", + t.clearcoatNormalMap ? "#define USE_CLEARCOAT_NORMALMAP" : "", + t.iridescence ? "#define USE_IRIDESCENCE" : "", + t.iridescenceMap ? "#define USE_IRIDESCENCEMAP" : "", + t.iridescenceThicknessMap ? "#define USE_IRIDESCENCE_THICKNESSMAP" : "", + t.specularMap ? "#define USE_SPECULARMAP" : "", + t.specularColorMap ? "#define USE_SPECULAR_COLORMAP" : "", + t.specularIntensityMap ? "#define USE_SPECULAR_INTENSITYMAP" : "", + t.roughnessMap ? "#define USE_ROUGHNESSMAP" : "", + t.metalnessMap ? "#define USE_METALNESSMAP" : "", + t.alphaMap ? "#define USE_ALPHAMAP" : "", + t.alphaTest ? "#define USE_ALPHATEST" : "", + t.alphaHash ? "#define USE_ALPHAHASH" : "", + t.sheen ? "#define USE_SHEEN" : "", + t.sheenColorMap ? "#define USE_SHEEN_COLORMAP" : "", + t.sheenRoughnessMap ? "#define USE_SHEEN_ROUGHNESSMAP" : "", + t.transmission ? "#define USE_TRANSMISSION" : "", + t.transmissionMap ? "#define USE_TRANSMISSIONMAP" : "", + t.thicknessMap ? "#define USE_THICKNESSMAP" : "", + t.vertexTangents && t.flatShading === !1 ? "#define USE_TANGENT" : "", + t.vertexColors || t.instancingColor ? "#define USE_COLOR" : "", + t.vertexAlphas ? "#define USE_COLOR_ALPHA" : "", + t.vertexUv1s ? "#define USE_UV1" : "", + t.vertexUv2s ? "#define USE_UV2" : "", + t.vertexUv3s ? "#define USE_UV3" : "", + t.pointsUvs ? "#define USE_POINTS_UV" : "", + t.gradientMap ? "#define USE_GRADIENTMAP" : "", + t.flatShading ? "#define FLAT_SHADED" : "", + t.doubleSided ? "#define DOUBLE_SIDED" : "", + t.flipSided ? "#define FLIP_SIDED" : "", + t.shadowMapEnabled ? "#define USE_SHADOWMAP" : "", + t.shadowMapEnabled ? "#define " + l : "", + t.premultipliedAlpha ? "#define PREMULTIPLIED_ALPHA" : "", + t.numLightProbes > 0 ? "#define USE_LIGHT_PROBES" : "", + t.useLegacyLights ? "#define LEGACY_LIGHTS" : "", + t.decodeVideoTexture ? "#define DECODE_VIDEO_TEXTURE" : "", + t.logarithmicDepthBuffer ? "#define USE_LOGDEPTHBUF" : "", + t.logarithmicDepthBuffer && t.rendererExtensionFragDepth ? "#define USE_LOGDEPTHBUF_EXT" : "", + "uniform mat4 viewMatrix;", + "uniform vec3 cameraPosition;", + "uniform bool isOrthographic;", + t.toneMapping !== ln ? "#define TONE_MAPPING" : "", + t.toneMapping !== ln ? Be.tonemapping_pars_fragment : "", + // this code is required here because it is used by the toneMapping() function defined below + t.toneMapping !== ln ? hf("toneMapping", t.toneMapping) : "", + t.dithering ? "#define DITHERING" : "", + t.opaque ? "#define OPAQUE" : "", + Be.colorspace_pars_fragment, + // this code is required here because it is used by the various encoding/decoding function defined below + uf("linearToOutputTexel", t.outputColorSpace), + t.useDepthPacking ? "#define DEPTH_PACKING " + t.depthPacking : "", + ` +` + ].filter(Zn).join(` +`)), o = rs(o), o = Ia(o, t), o = Na(o, t), a = rs(a), a = Ia(a, t), a = Na(a, t), o = Fa(o), a = Fa(a), t.isWebGL2 && t.isRawShaderMaterial !== !0 && (S = `#version 300 es +`, u = [ + g, + "precision mediump sampler2DArray;", + "#define attribute in", + "#define varying out", + "#define texture2D texture" + ].join(` +`) + ` +` + u, b = [ + "precision mediump sampler2DArray;", + "#define varying in", + t.glslVersion === ta ? "" : "layout(location = 0) out highp vec4 pc_fragColor;", + t.glslVersion === ta ? "" : "#define gl_FragColor pc_fragColor", + "#define gl_FragDepthEXT gl_FragDepth", + "#define texture2D texture", + "#define textureCube texture", + "#define texture2DProj textureProj", + "#define texture2DLodEXT textureLod", + "#define texture2DProjLodEXT textureProjLod", + "#define textureCubeLodEXT textureLod", + "#define texture2DGradEXT textureGrad", + "#define texture2DProjGradEXT textureProjGrad", + "#define textureCubeGradEXT textureGrad" + ].join(` +`) + ` +` + b); + const R = S + u + o, D = S + b + a, C = Da(r, r.VERTEX_SHADER, R), A = Da(r, r.FRAGMENT_SHADER, D); + r.attachShader(f, C), r.attachShader(f, A), t.index0AttributeName !== void 0 ? r.bindAttribLocation(f, 0, t.index0AttributeName) : t.morphTargets === !0 && r.bindAttribLocation(f, 0, "position"), r.linkProgram(f); + function W(Z) { + if (i.debug.checkShaderErrors) { + const re = r.getProgramInfoLog(f).trim(), L = r.getShaderInfoLog(C).trim(), F = r.getShaderInfoLog(A).trim(); + let V = !0, Y = !0; + if (r.getProgramParameter(f, r.LINK_STATUS) === !1) + if (V = !1, typeof i.debug.onShaderError == "function") + i.debug.onShaderError(r, f, C, A); + else { + const X = Ua(r, C, "vertex"), k = Ua(r, A, "fragment"); + console.error( + "THREE.WebGLProgram: Shader Error " + r.getError() + " - VALIDATE_STATUS " + r.getProgramParameter(f, r.VALIDATE_STATUS) + ` + +Program Info Log: ` + re + ` +` + X + ` +` + k + ); + } + else re !== "" ? console.warn("THREE.WebGLProgram: Program Info Log:", re) : (L === "" || F === "") && (Y = !1); + Y && (Z.diagnostics = { + runnable: V, + programLog: re, + vertexShader: { + log: L, + prefix: u + }, + fragmentShader: { + log: F, + prefix: b + } + }); + } + r.deleteShader(C), r.deleteShader(A), x = new Zi(r, f), y = mf(r, f); + } + let x; + this.getUniforms = function() { + return x === void 0 && W(this), x; + }; + let y; + this.getAttributes = function() { + return y === void 0 && W(this), y; + }; + let z = t.rendererExtensionParallelShaderCompile === !1; + return this.isReady = function() { + return z === !1 && (z = r.getProgramParameter(f, af)), z; + }, this.destroy = function() { + n.releaseStatesOfProgram(this), r.deleteProgram(f), this.program = void 0; + }, this.type = t.shaderType, this.name = t.shaderName, this.id = of++, this.cacheKey = e, this.usedTimes = 1, this.program = f, this.vertexShader = C, this.fragmentShader = A, this; +} +let wf = 0; +class Rf { + constructor() { + this.shaderCache = /* @__PURE__ */ new Map(), this.materialCache = /* @__PURE__ */ new Map(); + } + update(e) { + const t = e.vertexShader, n = e.fragmentShader, r = this._getShaderStage(t), s = this._getShaderStage(n), o = this._getShaderCacheForMaterial(e); + return o.has(r) === !1 && (o.add(r), r.usedTimes++), o.has(s) === !1 && (o.add(s), s.usedTimes++), this; + } + remove(e) { + const t = this.materialCache.get(e); + for (const n of t) + n.usedTimes--, n.usedTimes === 0 && this.shaderCache.delete(n.code); + return this.materialCache.delete(e), this; + } + getVertexShaderID(e) { + return this._getShaderStage(e.vertexShader).id; + } + getFragmentShaderID(e) { + return this._getShaderStage(e.fragmentShader).id; + } + dispose() { + this.shaderCache.clear(), this.materialCache.clear(); + } + _getShaderCacheForMaterial(e) { + const t = this.materialCache; + let n = t.get(e); + return n === void 0 && (n = /* @__PURE__ */ new Set(), t.set(e, n)), n; + } + _getShaderStage(e) { + const t = this.shaderCache; + let n = t.get(e); + return n === void 0 && (n = new Cf(e), t.set(e, n)), n; + } +} +class Cf { + constructor(e) { + this.id = wf++, this.code = e, this.usedTimes = 0; + } +} +function Lf(i, e, t, n, r, s, o) { + const a = new bo(), l = new Rf(), c = [], h = r.isWebGL2, d = r.logarithmicDepthBuffer, p = r.vertexTextures; + let m = r.precision; + const g = { + MeshDepthMaterial: "depth", + MeshDistanceMaterial: "distanceRGBA", + MeshNormalMaterial: "normal", + MeshBasicMaterial: "basic", + MeshLambertMaterial: "lambert", + MeshPhongMaterial: "phong", + MeshToonMaterial: "toon", + MeshStandardMaterial: "physical", + MeshPhysicalMaterial: "physical", + MeshMatcapMaterial: "matcap", + LineBasicMaterial: "basic", + LineDashedMaterial: "dashed", + PointsMaterial: "points", + ShadowMaterial: "shadow", + SpriteMaterial: "sprite" + }; + function v(x) { + return x === 0 ? "uv" : `uv${x}`; + } + function f(x, y, z, Z, re) { + const L = Z.fog, F = re.geometry, V = x.isMeshStandardMaterial ? Z.environment : null, Y = (x.isMeshStandardMaterial ? t : e).get(x.envMap || V), X = Y && Y.mapping === rr ? Y.image.height : null, k = g[x.type]; + x.precision !== null && (m = r.getMaxPrecision(x.precision), m !== x.precision && console.warn("THREE.WebGLProgram.getParameters:", x.precision, "not supported, using", m, "instead.")); + const q = F.morphAttributes.position || F.morphAttributes.normal || F.morphAttributes.color, Q = q !== void 0 ? q.length : 0; + let ce = 0; + F.morphAttributes.position !== void 0 && (ce = 1), F.morphAttributes.normal !== void 0 && (ce = 2), F.morphAttributes.color !== void 0 && (ce = 3); + let H, j, oe, ve; + if (k) { + const nt = Gt[k]; + H = nt.vertexShader, j = nt.fragmentShader; + } else + H = x.vertexShader, j = x.fragmentShader, l.update(x), oe = l.getVertexShaderID(x), ve = l.getFragmentShaderID(x); + const _e = i.getRenderTarget(), we = re.isInstancedMesh === !0, Ae = re.isBatchedMesh === !0, ge = !!x.map, Pe = !!x.matcap, N = !!Y, rt = !!x.aoMap, Me = !!x.lightMap, Re = !!x.bumpMap, pe = !!x.normalMap, je = !!x.displacementMap, be = !!x.emissiveMap, M = !!x.metalnessMap, _ = !!x.roughnessMap, I = x.anisotropy > 0, $ = x.clearcoat > 0, K = x.iridescence > 0, J = x.sheen > 0, me = x.transmission > 0, ae = I && !!x.anisotropyMap, he = $ && !!x.clearcoatMap, ye = $ && !!x.clearcoatNormalMap, Fe = $ && !!x.clearcoatRoughnessMap, ee = K && !!x.iridescenceMap, Ye = K && !!x.iridescenceThicknessMap, ze = J && !!x.sheenColorMap, De = J && !!x.sheenRoughnessMap, Ee = !!x.specularMap, ue = !!x.specularColorMap, T = !!x.specularIntensityMap, ne = me && !!x.transmissionMap, xe = me && !!x.thicknessMap, fe = !!x.gradientMap, te = !!x.alphaMap, w = x.alphaTest > 0, ie = !!x.alphaHash, le = !!x.extensions, Ce = !!F.attributes.uv1, Te = !!F.attributes.uv2, ke = !!F.attributes.uv3; + let We = ln; + return x.toneMapped && (_e === null || _e.isXRRenderTarget === !0) && (We = i.toneMapping), { + isWebGL2: h, + shaderID: k, + shaderType: x.type, + shaderName: x.name, + vertexShader: H, + fragmentShader: j, + defines: x.defines, + customVertexShaderID: oe, + customFragmentShaderID: ve, + isRawShaderMaterial: x.isRawShaderMaterial === !0, + glslVersion: x.glslVersion, + precision: m, + batching: Ae, + instancing: we, + instancingColor: we && re.instanceColor !== null, + supportsVertexTextures: p, + outputColorSpace: _e === null ? i.outputColorSpace : _e.isXRRenderTarget === !0 ? _e.texture.colorSpace : $t, + map: ge, + matcap: Pe, + envMap: N, + envMapMode: N && Y.mapping, + envMapCubeUVHeight: X, + aoMap: rt, + lightMap: Me, + bumpMap: Re, + normalMap: pe, + displacementMap: p && je, + emissiveMap: be, + normalMapObjectSpace: pe && x.normalMapType === Ol, + normalMapTangentSpace: pe && x.normalMapType === vo, + metalnessMap: M, + roughnessMap: _, + anisotropy: I, + anisotropyMap: ae, + clearcoat: $, + clearcoatMap: he, + clearcoatNormalMap: ye, + clearcoatRoughnessMap: Fe, + iridescence: K, + iridescenceMap: ee, + iridescenceThicknessMap: Ye, + sheen: J, + sheenColorMap: ze, + sheenRoughnessMap: De, + specularMap: Ee, + specularColorMap: ue, + specularIntensityMap: T, + transmission: me, + transmissionMap: ne, + thicknessMap: xe, + gradientMap: fe, + opaque: x.transparent === !1 && x.blending === $n, + alphaMap: te, + alphaTest: w, + alphaHash: ie, + combine: x.combine, + // + mapUv: ge && v(x.map.channel), + aoMapUv: rt && v(x.aoMap.channel), + lightMapUv: Me && v(x.lightMap.channel), + bumpMapUv: Re && v(x.bumpMap.channel), + normalMapUv: pe && v(x.normalMap.channel), + displacementMapUv: je && v(x.displacementMap.channel), + emissiveMapUv: be && v(x.emissiveMap.channel), + metalnessMapUv: M && v(x.metalnessMap.channel), + roughnessMapUv: _ && v(x.roughnessMap.channel), + anisotropyMapUv: ae && v(x.anisotropyMap.channel), + clearcoatMapUv: he && v(x.clearcoatMap.channel), + clearcoatNormalMapUv: ye && v(x.clearcoatNormalMap.channel), + clearcoatRoughnessMapUv: Fe && v(x.clearcoatRoughnessMap.channel), + iridescenceMapUv: ee && v(x.iridescenceMap.channel), + iridescenceThicknessMapUv: Ye && v(x.iridescenceThicknessMap.channel), + sheenColorMapUv: ze && v(x.sheenColorMap.channel), + sheenRoughnessMapUv: De && v(x.sheenRoughnessMap.channel), + specularMapUv: Ee && v(x.specularMap.channel), + specularColorMapUv: ue && v(x.specularColorMap.channel), + specularIntensityMapUv: T && v(x.specularIntensityMap.channel), + transmissionMapUv: ne && v(x.transmissionMap.channel), + thicknessMapUv: xe && v(x.thicknessMap.channel), + alphaMapUv: te && v(x.alphaMap.channel), + // + vertexTangents: !!F.attributes.tangent && (pe || I), + vertexColors: x.vertexColors, + vertexAlphas: x.vertexColors === !0 && !!F.attributes.color && F.attributes.color.itemSize === 4, + vertexUv1s: Ce, + vertexUv2s: Te, + vertexUv3s: ke, + pointsUvs: re.isPoints === !0 && !!F.attributes.uv && (ge || te), + fog: !!L, + useFog: x.fog === !0, + fogExp2: L && L.isFogExp2, + flatShading: x.flatShading === !0, + sizeAttenuation: x.sizeAttenuation === !0, + logarithmicDepthBuffer: d, + skinning: re.isSkinnedMesh === !0, + morphTargets: F.morphAttributes.position !== void 0, + morphNormals: F.morphAttributes.normal !== void 0, + morphColors: F.morphAttributes.color !== void 0, + morphTargetsCount: Q, + morphTextureStride: ce, + numDirLights: y.directional.length, + numPointLights: y.point.length, + numSpotLights: y.spot.length, + numSpotLightMaps: y.spotLightMap.length, + numRectAreaLights: y.rectArea.length, + numHemiLights: y.hemi.length, + numDirLightShadows: y.directionalShadowMap.length, + numPointLightShadows: y.pointShadowMap.length, + numSpotLightShadows: y.spotShadowMap.length, + numSpotLightShadowsWithMaps: y.numSpotLightShadowsWithMaps, + numLightProbes: y.numLightProbes, + numClippingPlanes: o.numPlanes, + numClipIntersection: o.numIntersection, + dithering: x.dithering, + shadowMapEnabled: i.shadowMap.enabled && z.length > 0, + shadowMapType: i.shadowMap.type, + toneMapping: We, + useLegacyLights: i._useLegacyLights, + decodeVideoTexture: ge && x.map.isVideoTexture === !0 && Ke.getTransfer(x.map.colorSpace) === Ze, + premultipliedAlpha: x.premultipliedAlpha, + doubleSided: x.side === Kt, + flipSided: x.side === Mt, + useDepthPacking: x.depthPacking >= 0, + depthPacking: x.depthPacking || 0, + index0AttributeName: x.index0AttributeName, + extensionDerivatives: le && x.extensions.derivatives === !0, + extensionFragDepth: le && x.extensions.fragDepth === !0, + extensionDrawBuffers: le && x.extensions.drawBuffers === !0, + extensionShaderTextureLOD: le && x.extensions.shaderTextureLOD === !0, + extensionClipCullDistance: le && x.extensions.clipCullDistance && n.has("WEBGL_clip_cull_distance"), + rendererExtensionFragDepth: h || n.has("EXT_frag_depth"), + rendererExtensionDrawBuffers: h || n.has("WEBGL_draw_buffers"), + rendererExtensionShaderTextureLod: h || n.has("EXT_shader_texture_lod"), + rendererExtensionParallelShaderCompile: n.has("KHR_parallel_shader_compile"), + customProgramCacheKey: x.customProgramCacheKey() + }; + } + function u(x) { + const y = []; + if (x.shaderID ? y.push(x.shaderID) : (y.push(x.customVertexShaderID), y.push(x.customFragmentShaderID)), x.defines !== void 0) + for (const z in x.defines) + y.push(z), y.push(x.defines[z]); + return x.isRawShaderMaterial === !1 && (b(y, x), S(y, x), y.push(i.outputColorSpace)), y.push(x.customProgramCacheKey), y.join(); + } + function b(x, y) { + x.push(y.precision), x.push(y.outputColorSpace), x.push(y.envMapMode), x.push(y.envMapCubeUVHeight), x.push(y.mapUv), x.push(y.alphaMapUv), x.push(y.lightMapUv), x.push(y.aoMapUv), x.push(y.bumpMapUv), x.push(y.normalMapUv), x.push(y.displacementMapUv), x.push(y.emissiveMapUv), x.push(y.metalnessMapUv), x.push(y.roughnessMapUv), x.push(y.anisotropyMapUv), x.push(y.clearcoatMapUv), x.push(y.clearcoatNormalMapUv), x.push(y.clearcoatRoughnessMapUv), x.push(y.iridescenceMapUv), x.push(y.iridescenceThicknessMapUv), x.push(y.sheenColorMapUv), x.push(y.sheenRoughnessMapUv), x.push(y.specularMapUv), x.push(y.specularColorMapUv), x.push(y.specularIntensityMapUv), x.push(y.transmissionMapUv), x.push(y.thicknessMapUv), x.push(y.combine), x.push(y.fogExp2), x.push(y.sizeAttenuation), x.push(y.morphTargetsCount), x.push(y.morphAttributeCount), x.push(y.numDirLights), x.push(y.numPointLights), x.push(y.numSpotLights), x.push(y.numSpotLightMaps), x.push(y.numHemiLights), x.push(y.numRectAreaLights), x.push(y.numDirLightShadows), x.push(y.numPointLightShadows), x.push(y.numSpotLightShadows), x.push(y.numSpotLightShadowsWithMaps), x.push(y.numLightProbes), x.push(y.shadowMapType), x.push(y.toneMapping), x.push(y.numClippingPlanes), x.push(y.numClipIntersection), x.push(y.depthPacking); + } + function S(x, y) { + a.disableAll(), y.isWebGL2 && a.enable(0), y.supportsVertexTextures && a.enable(1), y.instancing && a.enable(2), y.instancingColor && a.enable(3), y.matcap && a.enable(4), y.envMap && a.enable(5), y.normalMapObjectSpace && a.enable(6), y.normalMapTangentSpace && a.enable(7), y.clearcoat && a.enable(8), y.iridescence && a.enable(9), y.alphaTest && a.enable(10), y.vertexColors && a.enable(11), y.vertexAlphas && a.enable(12), y.vertexUv1s && a.enable(13), y.vertexUv2s && a.enable(14), y.vertexUv3s && a.enable(15), y.vertexTangents && a.enable(16), y.anisotropy && a.enable(17), y.alphaHash && a.enable(18), y.batching && a.enable(19), x.push(a.mask), a.disableAll(), y.fog && a.enable(0), y.useFog && a.enable(1), y.flatShading && a.enable(2), y.logarithmicDepthBuffer && a.enable(3), y.skinning && a.enable(4), y.morphTargets && a.enable(5), y.morphNormals && a.enable(6), y.morphColors && a.enable(7), y.premultipliedAlpha && a.enable(8), y.shadowMapEnabled && a.enable(9), y.useLegacyLights && a.enable(10), y.doubleSided && a.enable(11), y.flipSided && a.enable(12), y.useDepthPacking && a.enable(13), y.dithering && a.enable(14), y.transmission && a.enable(15), y.sheen && a.enable(16), y.opaque && a.enable(17), y.pointsUvs && a.enable(18), y.decodeVideoTexture && a.enable(19), x.push(a.mask); + } + function R(x) { + const y = g[x.type]; + let z; + if (y) { + const Z = Gt[y]; + z = hc.clone(Z.uniforms); + } else + z = x.uniforms; + return z; + } + function D(x, y) { + let z; + for (let Z = 0, re = c.length; Z < re; Z++) { + const L = c[Z]; + if (L.cacheKey === y) { + z = L, ++z.usedTimes; + break; + } + } + return z === void 0 && (z = new Af(i, y, x, s), c.push(z)), z; + } + function C(x) { + if (--x.usedTimes === 0) { + const y = c.indexOf(x); + c[y] = c[c.length - 1], c.pop(), x.destroy(); + } + } + function A(x) { + l.remove(x); + } + function W() { + l.dispose(); + } + return { + getParameters: f, + getProgramCacheKey: u, + getUniforms: R, + acquireProgram: D, + releaseProgram: C, + releaseShaderCache: A, + // Exposed for resource monitoring & error feedback via renderer.info: + programs: c, + dispose: W + }; +} +function Pf() { + let i = /* @__PURE__ */ new WeakMap(); + function e(s) { + let o = i.get(s); + return o === void 0 && (o = {}, i.set(s, o)), o; + } + function t(s) { + i.delete(s); + } + function n(s, o, a) { + i.get(s)[o] = a; + } + function r() { + i = /* @__PURE__ */ new WeakMap(); + } + return { + get: e, + remove: t, + update: n, + dispose: r + }; +} +function Df(i, e) { + return i.groupOrder !== e.groupOrder ? i.groupOrder - e.groupOrder : i.renderOrder !== e.renderOrder ? i.renderOrder - e.renderOrder : i.material.id !== e.material.id ? i.material.id - e.material.id : i.z !== e.z ? i.z - e.z : i.id - e.id; +} +function Ba(i, e) { + return i.groupOrder !== e.groupOrder ? i.groupOrder - e.groupOrder : i.renderOrder !== e.renderOrder ? i.renderOrder - e.renderOrder : i.z !== e.z ? e.z - i.z : i.id - e.id; +} +function za() { + const i = []; + let e = 0; + const t = [], n = [], r = []; + function s() { + e = 0, t.length = 0, n.length = 0, r.length = 0; + } + function o(d, p, m, g, v, f) { + let u = i[e]; + return u === void 0 ? (u = { + id: d.id, + object: d, + geometry: p, + material: m, + groupOrder: g, + renderOrder: d.renderOrder, + z: v, + group: f + }, i[e] = u) : (u.id = d.id, u.object = d, u.geometry = p, u.material = m, u.groupOrder = g, u.renderOrder = d.renderOrder, u.z = v, u.group = f), e++, u; + } + function a(d, p, m, g, v, f) { + const u = o(d, p, m, g, v, f); + m.transmission > 0 ? n.push(u) : m.transparent === !0 ? r.push(u) : t.push(u); + } + function l(d, p, m, g, v, f) { + const u = o(d, p, m, g, v, f); + m.transmission > 0 ? n.unshift(u) : m.transparent === !0 ? r.unshift(u) : t.unshift(u); + } + function c(d, p) { + t.length > 1 && t.sort(d || Df), n.length > 1 && n.sort(p || Ba), r.length > 1 && r.sort(p || Ba); + } + function h() { + for (let d = e, p = i.length; d < p; d++) { + const m = i[d]; + if (m.id === null) break; + m.id = null, m.object = null, m.geometry = null, m.material = null, m.group = null; + } + } + return { + opaque: t, + transmissive: n, + transparent: r, + init: s, + push: a, + unshift: l, + finish: h, + sort: c + }; +} +function Uf() { + let i = /* @__PURE__ */ new WeakMap(); + function e(n, r) { + const s = i.get(n); + let o; + return s === void 0 ? (o = new za(), i.set(n, [o])) : r >= s.length ? (o = new za(), s.push(o)) : o = s[r], o; + } + function t() { + i = /* @__PURE__ */ new WeakMap(); + } + return { + get: e, + dispose: t + }; +} +function If() { + const i = {}; + return { + get: function(e) { + if (i[e.id] !== void 0) + return i[e.id]; + let t; + switch (e.type) { + case "DirectionalLight": + t = { + direction: new P(), + color: new Xe() + }; + break; + case "SpotLight": + t = { + position: new P(), + direction: new P(), + color: new Xe(), + distance: 0, + coneCos: 0, + penumbraCos: 0, + decay: 0 + }; + break; + case "PointLight": + t = { + position: new P(), + color: new Xe(), + distance: 0, + decay: 0 + }; + break; + case "HemisphereLight": + t = { + direction: new P(), + skyColor: new Xe(), + groundColor: new Xe() + }; + break; + case "RectAreaLight": + t = { + color: new Xe(), + position: new P(), + halfWidth: new P(), + halfHeight: new P() + }; + break; + } + return i[e.id] = t, t; + } + }; +} +function Nf() { + const i = {}; + return { + get: function(e) { + if (i[e.id] !== void 0) + return i[e.id]; + let t; + switch (e.type) { + case "DirectionalLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie() + }; + break; + case "SpotLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie() + }; + break; + case "PointLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie(), + shadowCameraNear: 1, + shadowCameraFar: 1e3 + }; + break; + } + return i[e.id] = t, t; + } + }; +} +let Ff = 0; +function Of(i, e) { + return (e.castShadow ? 2 : 0) - (i.castShadow ? 2 : 0) + (e.map ? 1 : 0) - (i.map ? 1 : 0); +} +function Bf(i, e) { + const t = new If(), n = Nf(), r = { + version: 0, + hash: { + directionalLength: -1, + pointLength: -1, + spotLength: -1, + rectAreaLength: -1, + hemiLength: -1, + numDirectionalShadows: -1, + numPointShadows: -1, + numSpotShadows: -1, + numSpotMaps: -1, + numLightProbes: -1 + }, + ambient: [0, 0, 0], + probe: [], + directional: [], + directionalShadow: [], + directionalShadowMap: [], + directionalShadowMatrix: [], + spot: [], + spotLightMap: [], + spotShadow: [], + spotShadowMap: [], + spotLightMatrix: [], + rectArea: [], + rectAreaLTC1: null, + rectAreaLTC2: null, + point: [], + pointShadow: [], + pointShadowMap: [], + pointShadowMatrix: [], + hemi: [], + numSpotLightShadowsWithMaps: 0, + numLightProbes: 0 + }; + for (let h = 0; h < 9; h++) r.probe.push(new P()); + const s = new P(), o = new Qe(), a = new Qe(); + function l(h, d) { + let p = 0, m = 0, g = 0; + for (let Z = 0; Z < 9; Z++) r.probe[Z].set(0, 0, 0); + let v = 0, f = 0, u = 0, b = 0, S = 0, R = 0, D = 0, C = 0, A = 0, W = 0, x = 0; + h.sort(Of); + const y = d === !0 ? Math.PI : 1; + for (let Z = 0, re = h.length; Z < re; Z++) { + const L = h[Z], F = L.color, V = L.intensity, Y = L.distance, X = L.shadow && L.shadow.map ? L.shadow.map.texture : null; + if (L.isAmbientLight) + p += F.r * V * y, m += F.g * V * y, g += F.b * V * y; + else if (L.isLightProbe) { + for (let k = 0; k < 9; k++) + r.probe[k].addScaledVector(L.sh.coefficients[k], V); + x++; + } else if (L.isDirectionalLight) { + const k = t.get(L); + if (k.color.copy(L.color).multiplyScalar(L.intensity * y), L.castShadow) { + const q = L.shadow, Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, r.directionalShadow[v] = Q, r.directionalShadowMap[v] = X, r.directionalShadowMatrix[v] = L.shadow.matrix, R++; + } + r.directional[v] = k, v++; + } else if (L.isSpotLight) { + const k = t.get(L); + k.position.setFromMatrixPosition(L.matrixWorld), k.color.copy(F).multiplyScalar(V * y), k.distance = Y, k.coneCos = Math.cos(L.angle), k.penumbraCos = Math.cos(L.angle * (1 - L.penumbra)), k.decay = L.decay, r.spot[u] = k; + const q = L.shadow; + if (L.map && (r.spotLightMap[A] = L.map, A++, q.updateMatrices(L), L.castShadow && W++), r.spotLightMatrix[u] = q.matrix, L.castShadow) { + const Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, r.spotShadow[u] = Q, r.spotShadowMap[u] = X, C++; + } + u++; + } else if (L.isRectAreaLight) { + const k = t.get(L); + k.color.copy(F).multiplyScalar(V), k.halfWidth.set(L.width * 0.5, 0, 0), k.halfHeight.set(0, L.height * 0.5, 0), r.rectArea[b] = k, b++; + } else if (L.isPointLight) { + const k = t.get(L); + if (k.color.copy(L.color).multiplyScalar(L.intensity * y), k.distance = L.distance, k.decay = L.decay, L.castShadow) { + const q = L.shadow, Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, Q.shadowCameraNear = q.camera.near, Q.shadowCameraFar = q.camera.far, r.pointShadow[f] = Q, r.pointShadowMap[f] = X, r.pointShadowMatrix[f] = L.shadow.matrix, D++; + } + r.point[f] = k, f++; + } else if (L.isHemisphereLight) { + const k = t.get(L); + k.skyColor.copy(L.color).multiplyScalar(V * y), k.groundColor.copy(L.groundColor).multiplyScalar(V * y), r.hemi[S] = k, S++; + } + } + b > 0 && (e.isWebGL2 ? i.has("OES_texture_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_FLOAT_1, r.rectAreaLTC2 = se.LTC_FLOAT_2) : (r.rectAreaLTC1 = se.LTC_HALF_1, r.rectAreaLTC2 = se.LTC_HALF_2) : i.has("OES_texture_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_FLOAT_1, r.rectAreaLTC2 = se.LTC_FLOAT_2) : i.has("OES_texture_half_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_HALF_1, r.rectAreaLTC2 = se.LTC_HALF_2) : console.error("THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.")), r.ambient[0] = p, r.ambient[1] = m, r.ambient[2] = g; + const z = r.hash; + (z.directionalLength !== v || z.pointLength !== f || z.spotLength !== u || z.rectAreaLength !== b || z.hemiLength !== S || z.numDirectionalShadows !== R || z.numPointShadows !== D || z.numSpotShadows !== C || z.numSpotMaps !== A || z.numLightProbes !== x) && (r.directional.length = v, r.spot.length = u, r.rectArea.length = b, r.point.length = f, r.hemi.length = S, r.directionalShadow.length = R, r.directionalShadowMap.length = R, r.pointShadow.length = D, r.pointShadowMap.length = D, r.spotShadow.length = C, r.spotShadowMap.length = C, r.directionalShadowMatrix.length = R, r.pointShadowMatrix.length = D, r.spotLightMatrix.length = C + A - W, r.spotLightMap.length = A, r.numSpotLightShadowsWithMaps = W, r.numLightProbes = x, z.directionalLength = v, z.pointLength = f, z.spotLength = u, z.rectAreaLength = b, z.hemiLength = S, z.numDirectionalShadows = R, z.numPointShadows = D, z.numSpotShadows = C, z.numSpotMaps = A, z.numLightProbes = x, r.version = Ff++); + } + function c(h, d) { + let p = 0, m = 0, g = 0, v = 0, f = 0; + const u = d.matrixWorldInverse; + for (let b = 0, S = h.length; b < S; b++) { + const R = h[b]; + if (R.isDirectionalLight) { + const D = r.directional[p]; + D.direction.setFromMatrixPosition(R.matrixWorld), s.setFromMatrixPosition(R.target.matrixWorld), D.direction.sub(s), D.direction.transformDirection(u), p++; + } else if (R.isSpotLight) { + const D = r.spot[g]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), D.direction.setFromMatrixPosition(R.matrixWorld), s.setFromMatrixPosition(R.target.matrixWorld), D.direction.sub(s), D.direction.transformDirection(u), g++; + } else if (R.isRectAreaLight) { + const D = r.rectArea[v]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), a.identity(), o.copy(R.matrixWorld), o.premultiply(u), a.extractRotation(o), D.halfWidth.set(R.width * 0.5, 0, 0), D.halfHeight.set(0, R.height * 0.5, 0), D.halfWidth.applyMatrix4(a), D.halfHeight.applyMatrix4(a), v++; + } else if (R.isPointLight) { + const D = r.point[m]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), m++; + } else if (R.isHemisphereLight) { + const D = r.hemi[f]; + D.direction.setFromMatrixPosition(R.matrixWorld), D.direction.transformDirection(u), f++; + } + } + } + return { + setup: l, + setupView: c, + state: r + }; +} +function Ga(i, e) { + const t = new Bf(i, e), n = [], r = []; + function s() { + n.length = 0, r.length = 0; + } + function o(d) { + n.push(d); + } + function a(d) { + r.push(d); + } + function l(d) { + t.setup(n, d); + } + function c(d) { + t.setupView(n, d); + } + return { + init: s, + state: { + lightsArray: n, + shadowsArray: r, + lights: t + }, + setupLights: l, + setupLightsView: c, + pushLight: o, + pushShadow: a + }; +} +function zf(i, e) { + let t = /* @__PURE__ */ new WeakMap(); + function n(s, o = 0) { + const a = t.get(s); + let l; + return a === void 0 ? (l = new Ga(i, e), t.set(s, [l])) : o >= a.length ? (l = new Ga(i, e), a.push(l)) : l = a[o], l; + } + function r() { + t = /* @__PURE__ */ new WeakMap(); + } + return { + get: n, + dispose: r + }; +} +class Gf extends Mi { + constructor(e) { + super(), this.isMeshDepthMaterial = !0, this.type = "MeshDepthMaterial", this.depthPacking = Nl, this.map = null, this.alphaMap = null, this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.wireframe = !1, this.wireframeLinewidth = 1, this.setValues(e); + } + copy(e) { + return super.copy(e), this.depthPacking = e.depthPacking, this.map = e.map, this.alphaMap = e.alphaMap, this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this; + } +} +class Hf extends Mi { + constructor(e) { + super(), this.isMeshDistanceMaterial = !0, this.type = "MeshDistanceMaterial", this.map = null, this.alphaMap = null, this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.map = e.map, this.alphaMap = e.alphaMap, this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this; + } +} +const Vf = `void main() { + gl_Position = vec4( position, 1.0 ); +}`, kf = `uniform sampler2D shadow_pass; +uniform vec2 resolution; +uniform float radius; +#include +void main() { + const float samples = float( VSM_SAMPLES ); + float mean = 0.0; + float squared_mean = 0.0; + float uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 ); + float uvStart = samples <= 1.0 ? 0.0 : - 1.0; + for ( float i = 0.0; i < samples; i ++ ) { + float uvOffset = uvStart + i * uvStride; + #ifdef HORIZONTAL_PASS + vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) ); + mean += distribution.x; + squared_mean += distribution.y * distribution.y + distribution.x * distribution.x; + #else + float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) ); + mean += depth; + squared_mean += depth * depth; + #endif + } + mean = mean / samples; + squared_mean = squared_mean / samples; + float std_dev = sqrt( squared_mean - mean * mean ); + gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) ); +}`; +function Wf(i, e, t) { + let n = new cs(); + const r = new Ie(), s = new Ie(), o = new $e(), a = new Gf({ depthPacking: Fl }), l = new Hf(), c = {}, h = t.maxTextureSize, d = { [un]: Mt, [Mt]: un, [Kt]: Kt }, p = new wn({ + defines: { + VSM_SAMPLES: 8 + }, + uniforms: { + shadow_pass: { value: null }, + resolution: { value: new Ie() }, + radius: { value: 4 } + }, + vertexShader: Vf, + fragmentShader: kf + }), m = p.clone(); + m.defines.HORIZONTAL_PASS = 1; + const g = new hn(); + g.setAttribute( + "position", + new Bt( + new Float32Array([-1, -1, 0.5, 3, -1, 0.5, -1, 3, 0.5]), + 3 + ) + ); + const v = new Ot(g, p), f = this; + this.enabled = !1, this.autoUpdate = !0, this.needsUpdate = !1, this.type = so; + let u = this.type; + this.render = function(C, A, W) { + if (f.enabled === !1 || f.autoUpdate === !1 && f.needsUpdate === !1 || C.length === 0) return; + const x = i.getRenderTarget(), y = i.getActiveCubeFace(), z = i.getActiveMipmapLevel(), Z = i.state; + Z.setBlending(on), Z.buffers.color.setClear(1, 1, 1, 1), Z.buffers.depth.setTest(!0), Z.setScissorTest(!1); + const re = u !== jt && this.type === jt, L = u === jt && this.type !== jt; + for (let F = 0, V = C.length; F < V; F++) { + const Y = C[F], X = Y.shadow; + if (X === void 0) { + console.warn("THREE.WebGLShadowMap:", Y, "has no shadow."); + continue; + } + if (X.autoUpdate === !1 && X.needsUpdate === !1) continue; + r.copy(X.mapSize); + const k = X.getFrameExtents(); + if (r.multiply(k), s.copy(X.mapSize), (r.x > h || r.y > h) && (r.x > h && (s.x = Math.floor(h / k.x), r.x = s.x * k.x, X.mapSize.x = s.x), r.y > h && (s.y = Math.floor(h / k.y), r.y = s.y * k.y, X.mapSize.y = s.y)), X.map === null || re === !0 || L === !0) { + const Q = this.type !== jt ? { minFilter: gt, magFilter: gt } : {}; + X.map !== null && X.map.dispose(), X.map = new bn(r.x, r.y, Q), X.map.texture.name = Y.name + ".shadowMap", X.camera.updateProjectionMatrix(); + } + i.setRenderTarget(X.map), i.clear(); + const q = X.getViewportCount(); + for (let Q = 0; Q < q; Q++) { + const ce = X.getViewport(Q); + o.set( + s.x * ce.x, + s.y * ce.y, + s.x * ce.z, + s.y * ce.w + ), Z.viewport(o), X.updateMatrices(Y, Q), n = X.getFrustum(), R(A, W, X.camera, Y, this.type); + } + X.isPointLightShadow !== !0 && this.type === jt && b(X, W), X.needsUpdate = !1; + } + u = this.type, f.needsUpdate = !1, i.setRenderTarget(x, y, z); + }; + function b(C, A) { + const W = e.update(v); + p.defines.VSM_SAMPLES !== C.blurSamples && (p.defines.VSM_SAMPLES = C.blurSamples, m.defines.VSM_SAMPLES = C.blurSamples, p.needsUpdate = !0, m.needsUpdate = !0), C.mapPass === null && (C.mapPass = new bn(r.x, r.y)), p.uniforms.shadow_pass.value = C.map.texture, p.uniforms.resolution.value = C.mapSize, p.uniforms.radius.value = C.radius, i.setRenderTarget(C.mapPass), i.clear(), i.renderBufferDirect(A, null, W, p, v, null), m.uniforms.shadow_pass.value = C.mapPass.texture, m.uniforms.resolution.value = C.mapSize, m.uniforms.radius.value = C.radius, i.setRenderTarget(C.map), i.clear(), i.renderBufferDirect(A, null, W, m, v, null); + } + function S(C, A, W, x) { + let y = null; + const z = W.isPointLight === !0 ? C.customDistanceMaterial : C.customDepthMaterial; + if (z !== void 0) + y = z; + else if (y = W.isPointLight === !0 ? l : a, i.localClippingEnabled && A.clipShadows === !0 && Array.isArray(A.clippingPlanes) && A.clippingPlanes.length !== 0 || A.displacementMap && A.displacementScale !== 0 || A.alphaMap && A.alphaTest > 0 || A.map && A.alphaTest > 0) { + const Z = y.uuid, re = A.uuid; + let L = c[Z]; + L === void 0 && (L = {}, c[Z] = L); + let F = L[re]; + F === void 0 && (F = y.clone(), L[re] = F, A.addEventListener("dispose", D)), y = F; + } + if (y.visible = A.visible, y.wireframe = A.wireframe, x === jt ? y.side = A.shadowSide !== null ? A.shadowSide : A.side : y.side = A.shadowSide !== null ? A.shadowSide : d[A.side], y.alphaMap = A.alphaMap, y.alphaTest = A.alphaTest, y.map = A.map, y.clipShadows = A.clipShadows, y.clippingPlanes = A.clippingPlanes, y.clipIntersection = A.clipIntersection, y.displacementMap = A.displacementMap, y.displacementScale = A.displacementScale, y.displacementBias = A.displacementBias, y.wireframeLinewidth = A.wireframeLinewidth, y.linewidth = A.linewidth, W.isPointLight === !0 && y.isMeshDistanceMaterial === !0) { + const Z = i.properties.get(y); + Z.light = W; + } + return y; + } + function R(C, A, W, x, y) { + if (C.visible === !1) return; + if (C.layers.test(A.layers) && (C.isMesh || C.isLine || C.isPoints) && (C.castShadow || C.receiveShadow && y === jt) && (!C.frustumCulled || n.intersectsObject(C))) { + C.modelViewMatrix.multiplyMatrices(W.matrixWorldInverse, C.matrixWorld); + const re = e.update(C), L = C.material; + if (Array.isArray(L)) { + const F = re.groups; + for (let V = 0, Y = F.length; V < Y; V++) { + const X = F[V], k = L[X.materialIndex]; + if (k && k.visible) { + const q = S(C, k, x, y); + C.onBeforeShadow(i, C, A, W, re, q, X), i.renderBufferDirect(W, null, re, q, C, X), C.onAfterShadow(i, C, A, W, re, q, X); + } + } + } else if (L.visible) { + const F = S(C, L, x, y); + C.onBeforeShadow(i, C, A, W, re, F, null), i.renderBufferDirect(W, null, re, F, C, null), C.onAfterShadow(i, C, A, W, re, F, null); + } + } + const Z = C.children; + for (let re = 0, L = Z.length; re < L; re++) + R(Z[re], A, W, x, y); + } + function D(C) { + C.target.removeEventListener("dispose", D); + for (const W in c) { + const x = c[W], y = C.target.uuid; + y in x && (x[y].dispose(), delete x[y]); + } + } +} +function Xf(i, e, t) { + const n = t.isWebGL2; + function r() { + let w = !1; + const ie = new $e(); + let le = null; + const Ce = new $e(0, 0, 0, 0); + return { + setMask: function(Te) { + le !== Te && !w && (i.colorMask(Te, Te, Te, Te), le = Te); + }, + setLocked: function(Te) { + w = Te; + }, + setClear: function(Te, ke, We, et, nt) { + nt === !0 && (Te *= et, ke *= et, We *= et), ie.set(Te, ke, We, et), Ce.equals(ie) === !1 && (i.clearColor(Te, ke, We, et), Ce.copy(ie)); + }, + reset: function() { + w = !1, le = null, Ce.set(-1, 0, 0, 0); + } + }; + } + function s() { + let w = !1, ie = null, le = null, Ce = null; + return { + setTest: function(Te) { + Te ? Ae(i.DEPTH_TEST) : ge(i.DEPTH_TEST); + }, + setMask: function(Te) { + ie !== Te && !w && (i.depthMask(Te), ie = Te); + }, + setFunc: function(Te) { + if (le !== Te) { + switch (Te) { + case hl: + i.depthFunc(i.NEVER); + break; + case dl: + i.depthFunc(i.ALWAYS); + break; + case fl: + i.depthFunc(i.LESS); + break; + case $i: + i.depthFunc(i.LEQUAL); + break; + case pl: + i.depthFunc(i.EQUAL); + break; + case ml: + i.depthFunc(i.GEQUAL); + break; + case _l: + i.depthFunc(i.GREATER); + break; + case gl: + i.depthFunc(i.NOTEQUAL); + break; + default: + i.depthFunc(i.LEQUAL); + } + le = Te; + } + }, + setLocked: function(Te) { + w = Te; + }, + setClear: function(Te) { + Ce !== Te && (i.clearDepth(Te), Ce = Te); + }, + reset: function() { + w = !1, ie = null, le = null, Ce = null; + } + }; + } + function o() { + let w = !1, ie = null, le = null, Ce = null, Te = null, ke = null, We = null, et = null, nt = null; + return { + setTest: function(qe) { + w || (qe ? Ae(i.STENCIL_TEST) : ge(i.STENCIL_TEST)); + }, + setMask: function(qe) { + ie !== qe && !w && (i.stencilMask(qe), ie = qe); + }, + setFunc: function(qe, st, zt) { + (le !== qe || Ce !== st || Te !== zt) && (i.stencilFunc(qe, st, zt), le = qe, Ce = st, Te = zt); + }, + setOp: function(qe, st, zt) { + (ke !== qe || We !== st || et !== zt) && (i.stencilOp(qe, st, zt), ke = qe, We = st, et = zt); + }, + setLocked: function(qe) { + w = qe; + }, + setClear: function(qe) { + nt !== qe && (i.clearStencil(qe), nt = qe); + }, + reset: function() { + w = !1, ie = null, le = null, Ce = null, Te = null, ke = null, We = null, et = null, nt = null; + } + }; + } + const a = new r(), l = new s(), c = new o(), h = /* @__PURE__ */ new WeakMap(), d = /* @__PURE__ */ new WeakMap(); + let p = {}, m = {}, g = /* @__PURE__ */ new WeakMap(), v = [], f = null, u = !1, b = null, S = null, R = null, D = null, C = null, A = null, W = null, x = new Xe(0, 0, 0), y = 0, z = !1, Z = null, re = null, L = null, F = null, V = null; + const Y = i.getParameter(i.MAX_COMBINED_TEXTURE_IMAGE_UNITS); + let X = !1, k = 0; + const q = i.getParameter(i.VERSION); + q.indexOf("WebGL") !== -1 ? (k = parseFloat(/^WebGL (\d)/.exec(q)[1]), X = k >= 1) : q.indexOf("OpenGL ES") !== -1 && (k = parseFloat(/^OpenGL ES (\d)/.exec(q)[1]), X = k >= 2); + let Q = null, ce = {}; + const H = i.getParameter(i.SCISSOR_BOX), j = i.getParameter(i.VIEWPORT), oe = new $e().fromArray(H), ve = new $e().fromArray(j); + function _e(w, ie, le, Ce) { + const Te = new Uint8Array(4), ke = i.createTexture(); + i.bindTexture(w, ke), i.texParameteri(w, i.TEXTURE_MIN_FILTER, i.NEAREST), i.texParameteri(w, i.TEXTURE_MAG_FILTER, i.NEAREST); + for (let We = 0; We < le; We++) + n && (w === i.TEXTURE_3D || w === i.TEXTURE_2D_ARRAY) ? i.texImage3D(ie, 0, i.RGBA, 1, 1, Ce, 0, i.RGBA, i.UNSIGNED_BYTE, Te) : i.texImage2D(ie + We, 0, i.RGBA, 1, 1, 0, i.RGBA, i.UNSIGNED_BYTE, Te); + return ke; + } + const we = {}; + we[i.TEXTURE_2D] = _e(i.TEXTURE_2D, i.TEXTURE_2D, 1), we[i.TEXTURE_CUBE_MAP] = _e(i.TEXTURE_CUBE_MAP, i.TEXTURE_CUBE_MAP_POSITIVE_X, 6), n && (we[i.TEXTURE_2D_ARRAY] = _e(i.TEXTURE_2D_ARRAY, i.TEXTURE_2D_ARRAY, 1, 1), we[i.TEXTURE_3D] = _e(i.TEXTURE_3D, i.TEXTURE_3D, 1, 1)), a.setClear(0, 0, 0, 1), l.setClear(1), c.setClear(0), Ae(i.DEPTH_TEST), l.setFunc($i), be(!1), M(Ss), Ae(i.CULL_FACE), pe(on); + function Ae(w) { + p[w] !== !0 && (i.enable(w), p[w] = !0); + } + function ge(w) { + p[w] !== !1 && (i.disable(w), p[w] = !1); + } + function Pe(w, ie) { + return m[w] !== ie ? (i.bindFramebuffer(w, ie), m[w] = ie, n && (w === i.DRAW_FRAMEBUFFER && (m[i.FRAMEBUFFER] = ie), w === i.FRAMEBUFFER && (m[i.DRAW_FRAMEBUFFER] = ie)), !0) : !1; + } + function N(w, ie) { + let le = v, Ce = !1; + if (w) + if (le = g.get(ie), le === void 0 && (le = [], g.set(ie, le)), w.isWebGLMultipleRenderTargets) { + const Te = w.texture; + if (le.length !== Te.length || le[0] !== i.COLOR_ATTACHMENT0) { + for (let ke = 0, We = Te.length; ke < We; ke++) + le[ke] = i.COLOR_ATTACHMENT0 + ke; + le.length = Te.length, Ce = !0; + } + } else + le[0] !== i.COLOR_ATTACHMENT0 && (le[0] = i.COLOR_ATTACHMENT0, Ce = !0); + else + le[0] !== i.BACK && (le[0] = i.BACK, Ce = !0); + Ce && (t.isWebGL2 ? i.drawBuffers(le) : e.get("WEBGL_draw_buffers").drawBuffersWEBGL(le)); + } + function rt(w) { + return f !== w ? (i.useProgram(w), f = w, !0) : !1; + } + const Me = { + [Mn]: i.FUNC_ADD, + [Zo]: i.FUNC_SUBTRACT, + [$o]: i.FUNC_REVERSE_SUBTRACT + }; + if (n) + Me[bs] = i.MIN, Me[As] = i.MAX; + else { + const w = e.get("EXT_blend_minmax"); + w !== null && (Me[bs] = w.MIN_EXT, Me[As] = w.MAX_EXT); + } + const Re = { + [Jo]: i.ZERO, + [Qo]: i.ONE, + [el]: i.SRC_COLOR, + [Kr]: i.SRC_ALPHA, + [al]: i.SRC_ALPHA_SATURATE, + [rl]: i.DST_COLOR, + [nl]: i.DST_ALPHA, + [tl]: i.ONE_MINUS_SRC_COLOR, + [Zr]: i.ONE_MINUS_SRC_ALPHA, + [sl]: i.ONE_MINUS_DST_COLOR, + [il]: i.ONE_MINUS_DST_ALPHA, + [ol]: i.CONSTANT_COLOR, + [ll]: i.ONE_MINUS_CONSTANT_COLOR, + [cl]: i.CONSTANT_ALPHA, + [ul]: i.ONE_MINUS_CONSTANT_ALPHA + }; + function pe(w, ie, le, Ce, Te, ke, We, et, nt, qe) { + if (w === on) { + u === !0 && (ge(i.BLEND), u = !1); + return; + } + if (u === !1 && (Ae(i.BLEND), u = !0), w !== Ko) { + if (w !== b || qe !== z) { + if ((S !== Mn || C !== Mn) && (i.blendEquation(i.FUNC_ADD), S = Mn, C = Mn), qe) + switch (w) { + case $n: + i.blendFuncSeparate(i.ONE, i.ONE_MINUS_SRC_ALPHA, i.ONE, i.ONE_MINUS_SRC_ALPHA); + break; + case Es: + i.blendFunc(i.ONE, i.ONE); + break; + case ys: + i.blendFuncSeparate(i.ZERO, i.ONE_MINUS_SRC_COLOR, i.ZERO, i.ONE); + break; + case Ts: + i.blendFuncSeparate(i.ZERO, i.SRC_COLOR, i.ZERO, i.SRC_ALPHA); + break; + default: + console.error("THREE.WebGLState: Invalid blending: ", w); + break; + } + else + switch (w) { + case $n: + i.blendFuncSeparate(i.SRC_ALPHA, i.ONE_MINUS_SRC_ALPHA, i.ONE, i.ONE_MINUS_SRC_ALPHA); + break; + case Es: + i.blendFunc(i.SRC_ALPHA, i.ONE); + break; + case ys: + i.blendFuncSeparate(i.ZERO, i.ONE_MINUS_SRC_COLOR, i.ZERO, i.ONE); + break; + case Ts: + i.blendFunc(i.ZERO, i.SRC_COLOR); + break; + default: + console.error("THREE.WebGLState: Invalid blending: ", w); + break; + } + R = null, D = null, A = null, W = null, x.set(0, 0, 0), y = 0, b = w, z = qe; + } + return; + } + Te = Te || ie, ke = ke || le, We = We || Ce, (ie !== S || Te !== C) && (i.blendEquationSeparate(Me[ie], Me[Te]), S = ie, C = Te), (le !== R || Ce !== D || ke !== A || We !== W) && (i.blendFuncSeparate(Re[le], Re[Ce], Re[ke], Re[We]), R = le, D = Ce, A = ke, W = We), (et.equals(x) === !1 || nt !== y) && (i.blendColor(et.r, et.g, et.b, nt), x.copy(et), y = nt), b = w, z = !1; + } + function je(w, ie) { + w.side === Kt ? ge(i.CULL_FACE) : Ae(i.CULL_FACE); + let le = w.side === Mt; + ie && (le = !le), be(le), w.blending === $n && w.transparent === !1 ? pe(on) : pe(w.blending, w.blendEquation, w.blendSrc, w.blendDst, w.blendEquationAlpha, w.blendSrcAlpha, w.blendDstAlpha, w.blendColor, w.blendAlpha, w.premultipliedAlpha), l.setFunc(w.depthFunc), l.setTest(w.depthTest), l.setMask(w.depthWrite), a.setMask(w.colorWrite); + const Ce = w.stencilWrite; + c.setTest(Ce), Ce && (c.setMask(w.stencilWriteMask), c.setFunc(w.stencilFunc, w.stencilRef, w.stencilFuncMask), c.setOp(w.stencilFail, w.stencilZFail, w.stencilZPass)), I(w.polygonOffset, w.polygonOffsetFactor, w.polygonOffsetUnits), w.alphaToCoverage === !0 ? Ae(i.SAMPLE_ALPHA_TO_COVERAGE) : ge(i.SAMPLE_ALPHA_TO_COVERAGE); + } + function be(w) { + Z !== w && (w ? i.frontFace(i.CW) : i.frontFace(i.CCW), Z = w); + } + function M(w) { + w !== Yo ? (Ae(i.CULL_FACE), w !== re && (w === Ss ? i.cullFace(i.BACK) : w === jo ? i.cullFace(i.FRONT) : i.cullFace(i.FRONT_AND_BACK))) : ge(i.CULL_FACE), re = w; + } + function _(w) { + w !== L && (X && i.lineWidth(w), L = w); + } + function I(w, ie, le) { + w ? (Ae(i.POLYGON_OFFSET_FILL), (F !== ie || V !== le) && (i.polygonOffset(ie, le), F = ie, V = le)) : ge(i.POLYGON_OFFSET_FILL); + } + function $(w) { + w ? Ae(i.SCISSOR_TEST) : ge(i.SCISSOR_TEST); + } + function K(w) { + w === void 0 && (w = i.TEXTURE0 + Y - 1), Q !== w && (i.activeTexture(w), Q = w); + } + function J(w, ie, le) { + le === void 0 && (Q === null ? le = i.TEXTURE0 + Y - 1 : le = Q); + let Ce = ce[le]; + Ce === void 0 && (Ce = { type: void 0, texture: void 0 }, ce[le] = Ce), (Ce.type !== w || Ce.texture !== ie) && (Q !== le && (i.activeTexture(le), Q = le), i.bindTexture(w, ie || we[w]), Ce.type = w, Ce.texture = ie); + } + function me() { + const w = ce[Q]; + w !== void 0 && w.type !== void 0 && (i.bindTexture(w.type, null), w.type = void 0, w.texture = void 0); + } + function ae() { + try { + i.compressedTexImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function he() { + try { + i.compressedTexImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ye() { + try { + i.texSubImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Fe() { + try { + i.texSubImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ee() { + try { + i.compressedTexSubImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Ye() { + try { + i.compressedTexSubImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ze() { + try { + i.texStorage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function De() { + try { + i.texStorage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Ee() { + try { + i.texImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ue() { + try { + i.texImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function T(w) { + oe.equals(w) === !1 && (i.scissor(w.x, w.y, w.z, w.w), oe.copy(w)); + } + function ne(w) { + ve.equals(w) === !1 && (i.viewport(w.x, w.y, w.z, w.w), ve.copy(w)); + } + function xe(w, ie) { + let le = d.get(ie); + le === void 0 && (le = /* @__PURE__ */ new WeakMap(), d.set(ie, le)); + let Ce = le.get(w); + Ce === void 0 && (Ce = i.getUniformBlockIndex(ie, w.name), le.set(w, Ce)); + } + function fe(w, ie) { + const Ce = d.get(ie).get(w); + h.get(ie) !== Ce && (i.uniformBlockBinding(ie, Ce, w.__bindingPointIndex), h.set(ie, Ce)); + } + function te() { + i.disable(i.BLEND), i.disable(i.CULL_FACE), i.disable(i.DEPTH_TEST), i.disable(i.POLYGON_OFFSET_FILL), i.disable(i.SCISSOR_TEST), i.disable(i.STENCIL_TEST), i.disable(i.SAMPLE_ALPHA_TO_COVERAGE), i.blendEquation(i.FUNC_ADD), i.blendFunc(i.ONE, i.ZERO), i.blendFuncSeparate(i.ONE, i.ZERO, i.ONE, i.ZERO), i.blendColor(0, 0, 0, 0), i.colorMask(!0, !0, !0, !0), i.clearColor(0, 0, 0, 0), i.depthMask(!0), i.depthFunc(i.LESS), i.clearDepth(1), i.stencilMask(4294967295), i.stencilFunc(i.ALWAYS, 0, 4294967295), i.stencilOp(i.KEEP, i.KEEP, i.KEEP), i.clearStencil(0), i.cullFace(i.BACK), i.frontFace(i.CCW), i.polygonOffset(0, 0), i.activeTexture(i.TEXTURE0), i.bindFramebuffer(i.FRAMEBUFFER, null), n === !0 && (i.bindFramebuffer(i.DRAW_FRAMEBUFFER, null), i.bindFramebuffer(i.READ_FRAMEBUFFER, null)), i.useProgram(null), i.lineWidth(1), i.scissor(0, 0, i.canvas.width, i.canvas.height), i.viewport(0, 0, i.canvas.width, i.canvas.height), p = {}, Q = null, ce = {}, m = {}, g = /* @__PURE__ */ new WeakMap(), v = [], f = null, u = !1, b = null, S = null, R = null, D = null, C = null, A = null, W = null, x = new Xe(0, 0, 0), y = 0, z = !1, Z = null, re = null, L = null, F = null, V = null, oe.set(0, 0, i.canvas.width, i.canvas.height), ve.set(0, 0, i.canvas.width, i.canvas.height), a.reset(), l.reset(), c.reset(); + } + return { + buffers: { + color: a, + depth: l, + stencil: c + }, + enable: Ae, + disable: ge, + bindFramebuffer: Pe, + drawBuffers: N, + useProgram: rt, + setBlending: pe, + setMaterial: je, + setFlipSided: be, + setCullFace: M, + setLineWidth: _, + setPolygonOffset: I, + setScissorTest: $, + activeTexture: K, + bindTexture: J, + unbindTexture: me, + compressedTexImage2D: ae, + compressedTexImage3D: he, + texImage2D: Ee, + texImage3D: ue, + updateUBOMapping: xe, + uniformBlockBinding: fe, + texStorage2D: ze, + texStorage3D: De, + texSubImage2D: ye, + texSubImage3D: Fe, + compressedTexSubImage2D: ee, + compressedTexSubImage3D: Ye, + scissor: T, + viewport: ne, + reset: te + }; +} +function qf(i, e, t, n, r, s, o) { + const a = r.isWebGL2, l = e.has("WEBGL_multisampled_render_to_texture") ? e.get("WEBGL_multisampled_render_to_texture") : null, c = typeof navigator > "u" ? !1 : /OculusBrowser/g.test(navigator.userAgent), h = /* @__PURE__ */ new WeakMap(); + let d; + const p = /* @__PURE__ */ new WeakMap(); + let m = !1; + try { + m = typeof OffscreenCanvas < "u" && new OffscreenCanvas(1, 1).getContext("2d") !== null; + } catch { + } + function g(M, _) { + return m ? ( + // eslint-disable-next-line compat/compat + new OffscreenCanvas(M, _) + ) : nr("canvas"); + } + function v(M, _, I, $) { + let K = 1; + if ((M.width > $ || M.height > $) && (K = $ / Math.max(M.width, M.height)), K < 1 || _ === !0) + if (typeof HTMLImageElement < "u" && M instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && M instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && M instanceof ImageBitmap) { + const J = _ ? is : Math.floor, me = J(K * M.width), ae = J(K * M.height); + d === void 0 && (d = g(me, ae)); + const he = I ? g(me, ae) : d; + return he.width = me, he.height = ae, he.getContext("2d").drawImage(M, 0, 0, me, ae), console.warn("THREE.WebGLRenderer: Texture has been resized from (" + M.width + "x" + M.height + ") to (" + me + "x" + ae + ")."), he; + } else + return "data" in M && console.warn("THREE.WebGLRenderer: Image in DataTexture is too big (" + M.width + "x" + M.height + ")."), M; + return M; + } + function f(M) { + return na(M.width) && na(M.height); + } + function u(M) { + return a ? !1 : M.wrapS !== Nt || M.wrapT !== Nt || M.minFilter !== gt && M.minFilter !== Rt; + } + function b(M, _) { + return M.generateMipmaps && _ && M.minFilter !== gt && M.minFilter !== Rt; + } + function S(M) { + i.generateMipmap(M); + } + function R(M, _, I, $, K = !1) { + if (a === !1) return _; + if (M !== null) { + if (i[M] !== void 0) return i[M]; + console.warn("THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '" + M + "'"); + } + let J = _; + if (_ === i.RED && (I === i.FLOAT && (J = i.R32F), I === i.HALF_FLOAT && (J = i.R16F), I === i.UNSIGNED_BYTE && (J = i.R8)), _ === i.RED_INTEGER && (I === i.UNSIGNED_BYTE && (J = i.R8UI), I === i.UNSIGNED_SHORT && (J = i.R16UI), I === i.UNSIGNED_INT && (J = i.R32UI), I === i.BYTE && (J = i.R8I), I === i.SHORT && (J = i.R16I), I === i.INT && (J = i.R32I)), _ === i.RG && (I === i.FLOAT && (J = i.RG32F), I === i.HALF_FLOAT && (J = i.RG16F), I === i.UNSIGNED_BYTE && (J = i.RG8)), _ === i.RGBA) { + const me = K ? Ji : Ke.getTransfer($); + I === i.FLOAT && (J = i.RGBA32F), I === i.HALF_FLOAT && (J = i.RGBA16F), I === i.UNSIGNED_BYTE && (J = me === Ze ? i.SRGB8_ALPHA8 : i.RGBA8), I === i.UNSIGNED_SHORT_4_4_4_4 && (J = i.RGBA4), I === i.UNSIGNED_SHORT_5_5_5_1 && (J = i.RGB5_A1); + } + return (J === i.R16F || J === i.R32F || J === i.RG16F || J === i.RG32F || J === i.RGBA16F || J === i.RGBA32F) && e.get("EXT_color_buffer_float"), J; + } + function D(M, _, I) { + return b(M, I) === !0 || M.isFramebufferTexture && M.minFilter !== gt && M.minFilter !== Rt ? Math.log2(Math.max(_.width, _.height)) + 1 : M.mipmaps !== void 0 && M.mipmaps.length > 0 ? M.mipmaps.length : M.isCompressedTexture && Array.isArray(M.image) ? _.mipmaps.length : 1; + } + function C(M) { + return M === gt || M === ws || M === pr ? i.NEAREST : i.LINEAR; + } + function A(M) { + const _ = M.target; + _.removeEventListener("dispose", A), x(_), _.isVideoTexture && h.delete(_); + } + function W(M) { + const _ = M.target; + _.removeEventListener("dispose", W), z(_); + } + function x(M) { + const _ = n.get(M); + if (_.__webglInit === void 0) return; + const I = M.source, $ = p.get(I); + if ($) { + const K = $[_.__cacheKey]; + K.usedTimes--, K.usedTimes === 0 && y(M), Object.keys($).length === 0 && p.delete(I); + } + n.remove(M); + } + function y(M) { + const _ = n.get(M); + i.deleteTexture(_.__webglTexture); + const I = M.source, $ = p.get(I); + delete $[_.__cacheKey], o.memory.textures--; + } + function z(M) { + const _ = M.texture, I = n.get(M), $ = n.get(_); + if ($.__webglTexture !== void 0 && (i.deleteTexture($.__webglTexture), o.memory.textures--), M.depthTexture && M.depthTexture.dispose(), M.isWebGLCubeRenderTarget) + for (let K = 0; K < 6; K++) { + if (Array.isArray(I.__webglFramebuffer[K])) + for (let J = 0; J < I.__webglFramebuffer[K].length; J++) i.deleteFramebuffer(I.__webglFramebuffer[K][J]); + else + i.deleteFramebuffer(I.__webglFramebuffer[K]); + I.__webglDepthbuffer && i.deleteRenderbuffer(I.__webglDepthbuffer[K]); + } + else { + if (Array.isArray(I.__webglFramebuffer)) + for (let K = 0; K < I.__webglFramebuffer.length; K++) i.deleteFramebuffer(I.__webglFramebuffer[K]); + else + i.deleteFramebuffer(I.__webglFramebuffer); + if (I.__webglDepthbuffer && i.deleteRenderbuffer(I.__webglDepthbuffer), I.__webglMultisampledFramebuffer && i.deleteFramebuffer(I.__webglMultisampledFramebuffer), I.__webglColorRenderbuffer) + for (let K = 0; K < I.__webglColorRenderbuffer.length; K++) + I.__webglColorRenderbuffer[K] && i.deleteRenderbuffer(I.__webglColorRenderbuffer[K]); + I.__webglDepthRenderbuffer && i.deleteRenderbuffer(I.__webglDepthRenderbuffer); + } + if (M.isWebGLMultipleRenderTargets) + for (let K = 0, J = _.length; K < J; K++) { + const me = n.get(_[K]); + me.__webglTexture && (i.deleteTexture(me.__webglTexture), o.memory.textures--), n.remove(_[K]); + } + n.remove(_), n.remove(M); + } + let Z = 0; + function re() { + Z = 0; + } + function L() { + const M = Z; + return M >= r.maxTextures && console.warn("THREE.WebGLTextures: Trying to use " + M + " texture units while this GPU supports only " + r.maxTextures), Z += 1, M; + } + function F(M) { + const _ = []; + return _.push(M.wrapS), _.push(M.wrapT), _.push(M.wrapR || 0), _.push(M.magFilter), _.push(M.minFilter), _.push(M.anisotropy), _.push(M.internalFormat), _.push(M.format), _.push(M.type), _.push(M.generateMipmaps), _.push(M.premultiplyAlpha), _.push(M.flipY), _.push(M.unpackAlignment), _.push(M.colorSpace), _.join(); + } + function V(M, _) { + const I = n.get(M); + if (M.isVideoTexture && je(M), M.isRenderTargetTexture === !1 && M.version > 0 && I.__version !== M.version) { + const $ = M.image; + if ($ === null) + console.warn("THREE.WebGLRenderer: Texture marked for update but no image data found."); + else if ($.complete === !1) + console.warn("THREE.WebGLRenderer: Texture marked for update but image is incomplete"); + else { + oe(I, M, _); + return; + } + } + t.bindTexture(i.TEXTURE_2D, I.__webglTexture, i.TEXTURE0 + _); + } + function Y(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + oe(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_2D_ARRAY, I.__webglTexture, i.TEXTURE0 + _); + } + function X(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + oe(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_3D, I.__webglTexture, i.TEXTURE0 + _); + } + function k(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + ve(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_CUBE_MAP, I.__webglTexture, i.TEXTURE0 + _); + } + const q = { + [Qr]: i.REPEAT, + [Nt]: i.CLAMP_TO_EDGE, + [es]: i.MIRRORED_REPEAT + }, Q = { + [gt]: i.NEAREST, + [ws]: i.NEAREST_MIPMAP_NEAREST, + [pr]: i.NEAREST_MIPMAP_LINEAR, + [Rt]: i.LINEAR, + [Al]: i.LINEAR_MIPMAP_NEAREST, + [_i]: i.LINEAR_MIPMAP_LINEAR + }, ce = { + [Bl]: i.NEVER, + [Wl]: i.ALWAYS, + [zl]: i.LESS, + [xo]: i.LEQUAL, + [Gl]: i.EQUAL, + [kl]: i.GEQUAL, + [Hl]: i.GREATER, + [Vl]: i.NOTEQUAL + }; + function H(M, _, I) { + if (I ? (i.texParameteri(M, i.TEXTURE_WRAP_S, q[_.wrapS]), i.texParameteri(M, i.TEXTURE_WRAP_T, q[_.wrapT]), (M === i.TEXTURE_3D || M === i.TEXTURE_2D_ARRAY) && i.texParameteri(M, i.TEXTURE_WRAP_R, q[_.wrapR]), i.texParameteri(M, i.TEXTURE_MAG_FILTER, Q[_.magFilter]), i.texParameteri(M, i.TEXTURE_MIN_FILTER, Q[_.minFilter])) : (i.texParameteri(M, i.TEXTURE_WRAP_S, i.CLAMP_TO_EDGE), i.texParameteri(M, i.TEXTURE_WRAP_T, i.CLAMP_TO_EDGE), (M === i.TEXTURE_3D || M === i.TEXTURE_2D_ARRAY) && i.texParameteri(M, i.TEXTURE_WRAP_R, i.CLAMP_TO_EDGE), (_.wrapS !== Nt || _.wrapT !== Nt) && console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping."), i.texParameteri(M, i.TEXTURE_MAG_FILTER, C(_.magFilter)), i.texParameteri(M, i.TEXTURE_MIN_FILTER, C(_.minFilter)), _.minFilter !== gt && _.minFilter !== Rt && console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.")), _.compareFunction && (i.texParameteri(M, i.TEXTURE_COMPARE_MODE, i.COMPARE_REF_TO_TEXTURE), i.texParameteri(M, i.TEXTURE_COMPARE_FUNC, ce[_.compareFunction])), e.has("EXT_texture_filter_anisotropic") === !0) { + const $ = e.get("EXT_texture_filter_anisotropic"); + if (_.magFilter === gt || _.minFilter !== pr && _.minFilter !== _i || _.type === an && e.has("OES_texture_float_linear") === !1 || a === !1 && _.type === gi && e.has("OES_texture_half_float_linear") === !1) return; + (_.anisotropy > 1 || n.get(_).__currentAnisotropy) && (i.texParameterf(M, $.TEXTURE_MAX_ANISOTROPY_EXT, Math.min(_.anisotropy, r.getMaxAnisotropy())), n.get(_).__currentAnisotropy = _.anisotropy); + } + } + function j(M, _) { + let I = !1; + M.__webglInit === void 0 && (M.__webglInit = !0, _.addEventListener("dispose", A)); + const $ = _.source; + let K = p.get($); + K === void 0 && (K = {}, p.set($, K)); + const J = F(_); + if (J !== M.__cacheKey) { + K[J] === void 0 && (K[J] = { + texture: i.createTexture(), + usedTimes: 0 + }, o.memory.textures++, I = !0), K[J].usedTimes++; + const me = K[M.__cacheKey]; + me !== void 0 && (K[M.__cacheKey].usedTimes--, me.usedTimes === 0 && y(_)), M.__cacheKey = J, M.__webglTexture = K[J].texture; + } + return I; + } + function oe(M, _, I) { + let $ = i.TEXTURE_2D; + (_.isDataArrayTexture || _.isCompressedArrayTexture) && ($ = i.TEXTURE_2D_ARRAY), _.isData3DTexture && ($ = i.TEXTURE_3D); + const K = j(M, _), J = _.source; + t.bindTexture($, M.__webglTexture, i.TEXTURE0 + I); + const me = n.get(J); + if (J.version !== me.__version || K === !0) { + t.activeTexture(i.TEXTURE0 + I); + const ae = Ke.getPrimaries(Ke.workingColorSpace), he = _.colorSpace === Ct ? null : Ke.getPrimaries(_.colorSpace), ye = _.colorSpace === Ct || ae === he ? i.NONE : i.BROWSER_DEFAULT_WEBGL; + i.pixelStorei(i.UNPACK_FLIP_Y_WEBGL, _.flipY), i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL, _.premultiplyAlpha), i.pixelStorei(i.UNPACK_ALIGNMENT, _.unpackAlignment), i.pixelStorei(i.UNPACK_COLORSPACE_CONVERSION_WEBGL, ye); + const Fe = u(_) && f(_.image) === !1; + let ee = v(_.image, Fe, !1, r.maxTextureSize); + ee = be(_, ee); + const Ye = f(ee) || a, ze = s.convert(_.format, _.colorSpace); + let De = s.convert(_.type), Ee = R(_.internalFormat, ze, De, _.colorSpace, _.isVideoTexture); + H($, _, Ye); + let ue; + const T = _.mipmaps, ne = a && _.isVideoTexture !== !0 && Ee !== _o, xe = me.__version === void 0 || K === !0, fe = D(_, ee, Ye); + if (_.isDepthTexture) + Ee = i.DEPTH_COMPONENT, a ? _.type === an ? Ee = i.DEPTH_COMPONENT32F : _.type === sn ? Ee = i.DEPTH_COMPONENT24 : _.type === En ? Ee = i.DEPTH24_STENCIL8 : Ee = i.DEPTH_COMPONENT16 : _.type === an && console.error("WebGLRenderer: Floating point depth texture requires WebGL2."), _.format === yn && Ee === i.DEPTH_COMPONENT && _.type !== as && _.type !== sn && (console.warn("THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture."), _.type = sn, De = s.convert(_.type)), _.format === ti && Ee === i.DEPTH_COMPONENT && (Ee = i.DEPTH_STENCIL, _.type !== En && (console.warn("THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture."), _.type = En, De = s.convert(_.type))), xe && (ne ? t.texStorage2D(i.TEXTURE_2D, 1, Ee, ee.width, ee.height) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ee.width, ee.height, 0, ze, De, null)); + else if (_.isDataTexture) + if (T.length > 0 && Ye) { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, De, ue.data) : t.texImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ze, De, ue.data); + _.generateMipmaps = !1; + } else + ne ? (xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height), t.texSubImage2D(i.TEXTURE_2D, 0, 0, 0, ee.width, ee.height, ze, De, ee.data)) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ee.width, ee.height, 0, ze, De, ee.data); + else if (_.isCompressedTexture) + if (_.isCompressedArrayTexture) { + ne && xe && t.texStorage3D(i.TEXTURE_2D_ARRAY, fe, Ee, T[0].width, T[0].height, ee.depth); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], _.format !== Ft ? ze !== null ? ne ? t.compressedTexSubImage3D(i.TEXTURE_2D_ARRAY, te, 0, 0, 0, ue.width, ue.height, ee.depth, ze, ue.data, 0, 0) : t.compressedTexImage3D(i.TEXTURE_2D_ARRAY, te, Ee, ue.width, ue.height, ee.depth, 0, ue.data, 0, 0) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()") : ne ? t.texSubImage3D(i.TEXTURE_2D_ARRAY, te, 0, 0, 0, ue.width, ue.height, ee.depth, ze, De, ue.data) : t.texImage3D(i.TEXTURE_2D_ARRAY, te, Ee, ue.width, ue.height, ee.depth, 0, ze, De, ue.data); + } else { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], _.format !== Ft ? ze !== null ? ne ? t.compressedTexSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, ue.data) : t.compressedTexImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ue.data) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()") : ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, De, ue.data) : t.texImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ze, De, ue.data); + } + else if (_.isDataArrayTexture) + ne ? (xe && t.texStorage3D(i.TEXTURE_2D_ARRAY, fe, Ee, ee.width, ee.height, ee.depth), t.texSubImage3D(i.TEXTURE_2D_ARRAY, 0, 0, 0, 0, ee.width, ee.height, ee.depth, ze, De, ee.data)) : t.texImage3D(i.TEXTURE_2D_ARRAY, 0, Ee, ee.width, ee.height, ee.depth, 0, ze, De, ee.data); + else if (_.isData3DTexture) + ne ? (xe && t.texStorage3D(i.TEXTURE_3D, fe, Ee, ee.width, ee.height, ee.depth), t.texSubImage3D(i.TEXTURE_3D, 0, 0, 0, 0, ee.width, ee.height, ee.depth, ze, De, ee.data)) : t.texImage3D(i.TEXTURE_3D, 0, Ee, ee.width, ee.height, ee.depth, 0, ze, De, ee.data); + else if (_.isFramebufferTexture) { + if (xe) + if (ne) + t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height); + else { + let te = ee.width, w = ee.height; + for (let ie = 0; ie < fe; ie++) + t.texImage2D(i.TEXTURE_2D, ie, Ee, te, w, 0, ze, De, null), te >>= 1, w >>= 1; + } + } else if (T.length > 0 && Ye) { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ze, De, ue) : t.texImage2D(i.TEXTURE_2D, te, Ee, ze, De, ue); + _.generateMipmaps = !1; + } else + ne ? (xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height), t.texSubImage2D(i.TEXTURE_2D, 0, 0, 0, ze, De, ee)) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ze, De, ee); + b(_, Ye) && S($), me.__version = J.version, _.onUpdate && _.onUpdate(_); + } + M.__version = _.version; + } + function ve(M, _, I) { + if (_.image.length !== 6) return; + const $ = j(M, _), K = _.source; + t.bindTexture(i.TEXTURE_CUBE_MAP, M.__webglTexture, i.TEXTURE0 + I); + const J = n.get(K); + if (K.version !== J.__version || $ === !0) { + t.activeTexture(i.TEXTURE0 + I); + const me = Ke.getPrimaries(Ke.workingColorSpace), ae = _.colorSpace === Ct ? null : Ke.getPrimaries(_.colorSpace), he = _.colorSpace === Ct || me === ae ? i.NONE : i.BROWSER_DEFAULT_WEBGL; + i.pixelStorei(i.UNPACK_FLIP_Y_WEBGL, _.flipY), i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL, _.premultiplyAlpha), i.pixelStorei(i.UNPACK_ALIGNMENT, _.unpackAlignment), i.pixelStorei(i.UNPACK_COLORSPACE_CONVERSION_WEBGL, he); + const ye = _.isCompressedTexture || _.image[0].isCompressedTexture, Fe = _.image[0] && _.image[0].isDataTexture, ee = []; + for (let te = 0; te < 6; te++) + !ye && !Fe ? ee[te] = v(_.image[te], !1, !0, r.maxCubemapSize) : ee[te] = Fe ? _.image[te].image : _.image[te], ee[te] = be(_, ee[te]); + const Ye = ee[0], ze = f(Ye) || a, De = s.convert(_.format, _.colorSpace), Ee = s.convert(_.type), ue = R(_.internalFormat, De, Ee, _.colorSpace), T = a && _.isVideoTexture !== !0, ne = J.__version === void 0 || $ === !0; + let xe = D(_, Ye, ze); + H(i.TEXTURE_CUBE_MAP, _, ze); + let fe; + if (ye) { + T && ne && t.texStorage2D(i.TEXTURE_CUBE_MAP, xe, ue, Ye.width, Ye.height); + for (let te = 0; te < 6; te++) { + fe = ee[te].mipmaps; + for (let w = 0; w < fe.length; w++) { + const ie = fe[w]; + _.format !== Ft ? De !== null ? T ? t.compressedTexSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, 0, 0, ie.width, ie.height, De, ie.data) : t.compressedTexImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, ue, ie.width, ie.height, 0, ie.data) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()") : T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, 0, 0, ie.width, ie.height, De, Ee, ie.data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, ue, ie.width, ie.height, 0, De, Ee, ie.data); + } + } + } else { + fe = _.mipmaps, T && ne && (fe.length > 0 && xe++, t.texStorage2D(i.TEXTURE_CUBE_MAP, xe, ue, ee[0].width, ee[0].height)); + for (let te = 0; te < 6; te++) + if (Fe) { + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, 0, 0, ee[te].width, ee[te].height, De, Ee, ee[te].data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, ue, ee[te].width, ee[te].height, 0, De, Ee, ee[te].data); + for (let w = 0; w < fe.length; w++) { + const le = fe[w].image[te].image; + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, 0, 0, le.width, le.height, De, Ee, le.data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, ue, le.width, le.height, 0, De, Ee, le.data); + } + } else { + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, 0, 0, De, Ee, ee[te]) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, ue, De, Ee, ee[te]); + for (let w = 0; w < fe.length; w++) { + const ie = fe[w]; + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, 0, 0, De, Ee, ie.image[te]) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, ue, De, Ee, ie.image[te]); + } + } + } + b(_, ze) && S(i.TEXTURE_CUBE_MAP), J.__version = K.version, _.onUpdate && _.onUpdate(_); + } + M.__version = _.version; + } + function _e(M, _, I, $, K, J) { + const me = s.convert(I.format, I.colorSpace), ae = s.convert(I.type), he = R(I.internalFormat, me, ae, I.colorSpace); + if (!n.get(_).__hasExternalTextures) { + const Fe = Math.max(1, _.width >> J), ee = Math.max(1, _.height >> J); + K === i.TEXTURE_3D || K === i.TEXTURE_2D_ARRAY ? t.texImage3D(K, J, he, Fe, ee, _.depth, 0, me, ae, null) : t.texImage2D(K, J, he, Fe, ee, 0, me, ae, null); + } + t.bindFramebuffer(i.FRAMEBUFFER, M), pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, $, K, n.get(I).__webglTexture, 0, Re(_)) : (K === i.TEXTURE_2D || K >= i.TEXTURE_CUBE_MAP_POSITIVE_X && K <= i.TEXTURE_CUBE_MAP_NEGATIVE_Z) && i.framebufferTexture2D(i.FRAMEBUFFER, $, K, n.get(I).__webglTexture, J), t.bindFramebuffer(i.FRAMEBUFFER, null); + } + function we(M, _, I) { + if (i.bindRenderbuffer(i.RENDERBUFFER, M), _.depthBuffer && !_.stencilBuffer) { + let $ = a === !0 ? i.DEPTH_COMPONENT24 : i.DEPTH_COMPONENT16; + if (I || pe(_)) { + const K = _.depthTexture; + K && K.isDepthTexture && (K.type === an ? $ = i.DEPTH_COMPONENT32F : K.type === sn && ($ = i.DEPTH_COMPONENT24)); + const J = Re(_); + pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, J, $, _.width, _.height) : i.renderbufferStorageMultisample(i.RENDERBUFFER, J, $, _.width, _.height); + } else + i.renderbufferStorage(i.RENDERBUFFER, $, _.width, _.height); + i.framebufferRenderbuffer(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.RENDERBUFFER, M); + } else if (_.depthBuffer && _.stencilBuffer) { + const $ = Re(_); + I && pe(_) === !1 ? i.renderbufferStorageMultisample(i.RENDERBUFFER, $, i.DEPTH24_STENCIL8, _.width, _.height) : pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, $, i.DEPTH24_STENCIL8, _.width, _.height) : i.renderbufferStorage(i.RENDERBUFFER, i.DEPTH_STENCIL, _.width, _.height), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.RENDERBUFFER, M); + } else { + const $ = _.isWebGLMultipleRenderTargets === !0 ? _.texture : [_.texture]; + for (let K = 0; K < $.length; K++) { + const J = $[K], me = s.convert(J.format, J.colorSpace), ae = s.convert(J.type), he = R(J.internalFormat, me, ae, J.colorSpace), ye = Re(_); + I && pe(_) === !1 ? i.renderbufferStorageMultisample(i.RENDERBUFFER, ye, he, _.width, _.height) : pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, ye, he, _.width, _.height) : i.renderbufferStorage(i.RENDERBUFFER, he, _.width, _.height); + } + } + i.bindRenderbuffer(i.RENDERBUFFER, null); + } + function Ae(M, _) { + if (_ && _.isWebGLCubeRenderTarget) throw new Error("Depth Texture with cube render targets is not supported"); + if (t.bindFramebuffer(i.FRAMEBUFFER, M), !(_.depthTexture && _.depthTexture.isDepthTexture)) + throw new Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture"); + (!n.get(_.depthTexture).__webglTexture || _.depthTexture.image.width !== _.width || _.depthTexture.image.height !== _.height) && (_.depthTexture.image.width = _.width, _.depthTexture.image.height = _.height, _.depthTexture.needsUpdate = !0), V(_.depthTexture, 0); + const $ = n.get(_.depthTexture).__webglTexture, K = Re(_); + if (_.depthTexture.format === yn) + pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.TEXTURE_2D, $, 0, K) : i.framebufferTexture2D(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.TEXTURE_2D, $, 0); + else if (_.depthTexture.format === ti) + pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.TEXTURE_2D, $, 0, K) : i.framebufferTexture2D(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.TEXTURE_2D, $, 0); + else + throw new Error("Unknown depthTexture format"); + } + function ge(M) { + const _ = n.get(M), I = M.isWebGLCubeRenderTarget === !0; + if (M.depthTexture && !_.__autoAllocateDepthBuffer) { + if (I) throw new Error("target.depthTexture not supported in Cube render targets"); + Ae(_.__webglFramebuffer, M); + } else if (I) { + _.__webglDepthbuffer = []; + for (let $ = 0; $ < 6; $++) + t.bindFramebuffer(i.FRAMEBUFFER, _.__webglFramebuffer[$]), _.__webglDepthbuffer[$] = i.createRenderbuffer(), we(_.__webglDepthbuffer[$], M, !1); + } else + t.bindFramebuffer(i.FRAMEBUFFER, _.__webglFramebuffer), _.__webglDepthbuffer = i.createRenderbuffer(), we(_.__webglDepthbuffer, M, !1); + t.bindFramebuffer(i.FRAMEBUFFER, null); + } + function Pe(M, _, I) { + const $ = n.get(M); + _ !== void 0 && _e($.__webglFramebuffer, M, M.texture, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, 0), I !== void 0 && ge(M); + } + function N(M) { + const _ = M.texture, I = n.get(M), $ = n.get(_); + M.addEventListener("dispose", W), M.isWebGLMultipleRenderTargets !== !0 && ($.__webglTexture === void 0 && ($.__webglTexture = i.createTexture()), $.__version = _.version, o.memory.textures++); + const K = M.isWebGLCubeRenderTarget === !0, J = M.isWebGLMultipleRenderTargets === !0, me = f(M) || a; + if (K) { + I.__webglFramebuffer = []; + for (let ae = 0; ae < 6; ae++) + if (a && _.mipmaps && _.mipmaps.length > 0) { + I.__webglFramebuffer[ae] = []; + for (let he = 0; he < _.mipmaps.length; he++) + I.__webglFramebuffer[ae][he] = i.createFramebuffer(); + } else + I.__webglFramebuffer[ae] = i.createFramebuffer(); + } else { + if (a && _.mipmaps && _.mipmaps.length > 0) { + I.__webglFramebuffer = []; + for (let ae = 0; ae < _.mipmaps.length; ae++) + I.__webglFramebuffer[ae] = i.createFramebuffer(); + } else + I.__webglFramebuffer = i.createFramebuffer(); + if (J) + if (r.drawBuffers) { + const ae = M.texture; + for (let he = 0, ye = ae.length; he < ye; he++) { + const Fe = n.get(ae[he]); + Fe.__webglTexture === void 0 && (Fe.__webglTexture = i.createTexture(), o.memory.textures++); + } + } else + console.warn("THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension."); + if (a && M.samples > 0 && pe(M) === !1) { + const ae = J ? _ : [_]; + I.__webglMultisampledFramebuffer = i.createFramebuffer(), I.__webglColorRenderbuffer = [], t.bindFramebuffer(i.FRAMEBUFFER, I.__webglMultisampledFramebuffer); + for (let he = 0; he < ae.length; he++) { + const ye = ae[he]; + I.__webglColorRenderbuffer[he] = i.createRenderbuffer(), i.bindRenderbuffer(i.RENDERBUFFER, I.__webglColorRenderbuffer[he]); + const Fe = s.convert(ye.format, ye.colorSpace), ee = s.convert(ye.type), Ye = R(ye.internalFormat, Fe, ee, ye.colorSpace, M.isXRRenderTarget === !0), ze = Re(M); + i.renderbufferStorageMultisample(i.RENDERBUFFER, ze, Ye, M.width, M.height), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + he, i.RENDERBUFFER, I.__webglColorRenderbuffer[he]); + } + i.bindRenderbuffer(i.RENDERBUFFER, null), M.depthBuffer && (I.__webglDepthRenderbuffer = i.createRenderbuffer(), we(I.__webglDepthRenderbuffer, M, !0)), t.bindFramebuffer(i.FRAMEBUFFER, null); + } + } + if (K) { + t.bindTexture(i.TEXTURE_CUBE_MAP, $.__webglTexture), H(i.TEXTURE_CUBE_MAP, _, me); + for (let ae = 0; ae < 6; ae++) + if (a && _.mipmaps && _.mipmaps.length > 0) + for (let he = 0; he < _.mipmaps.length; he++) + _e(I.__webglFramebuffer[ae][he], M, _, i.COLOR_ATTACHMENT0, i.TEXTURE_CUBE_MAP_POSITIVE_X + ae, he); + else + _e(I.__webglFramebuffer[ae], M, _, i.COLOR_ATTACHMENT0, i.TEXTURE_CUBE_MAP_POSITIVE_X + ae, 0); + b(_, me) && S(i.TEXTURE_CUBE_MAP), t.unbindTexture(); + } else if (J) { + const ae = M.texture; + for (let he = 0, ye = ae.length; he < ye; he++) { + const Fe = ae[he], ee = n.get(Fe); + t.bindTexture(i.TEXTURE_2D, ee.__webglTexture), H(i.TEXTURE_2D, Fe, me), _e(I.__webglFramebuffer, M, Fe, i.COLOR_ATTACHMENT0 + he, i.TEXTURE_2D, 0), b(Fe, me) && S(i.TEXTURE_2D); + } + t.unbindTexture(); + } else { + let ae = i.TEXTURE_2D; + if ((M.isWebGL3DRenderTarget || M.isWebGLArrayRenderTarget) && (a ? ae = M.isWebGL3DRenderTarget ? i.TEXTURE_3D : i.TEXTURE_2D_ARRAY : console.error("THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.")), t.bindTexture(ae, $.__webglTexture), H(ae, _, me), a && _.mipmaps && _.mipmaps.length > 0) + for (let he = 0; he < _.mipmaps.length; he++) + _e(I.__webglFramebuffer[he], M, _, i.COLOR_ATTACHMENT0, ae, he); + else + _e(I.__webglFramebuffer, M, _, i.COLOR_ATTACHMENT0, ae, 0); + b(_, me) && S(ae), t.unbindTexture(); + } + M.depthBuffer && ge(M); + } + function rt(M) { + const _ = f(M) || a, I = M.isWebGLMultipleRenderTargets === !0 ? M.texture : [M.texture]; + for (let $ = 0, K = I.length; $ < K; $++) { + const J = I[$]; + if (b(J, _)) { + const me = M.isWebGLCubeRenderTarget ? i.TEXTURE_CUBE_MAP : i.TEXTURE_2D, ae = n.get(J).__webglTexture; + t.bindTexture(me, ae), S(me), t.unbindTexture(); + } + } + } + function Me(M) { + if (a && M.samples > 0 && pe(M) === !1) { + const _ = M.isWebGLMultipleRenderTargets ? M.texture : [M.texture], I = M.width, $ = M.height; + let K = i.COLOR_BUFFER_BIT; + const J = [], me = M.stencilBuffer ? i.DEPTH_STENCIL_ATTACHMENT : i.DEPTH_ATTACHMENT, ae = n.get(M), he = M.isWebGLMultipleRenderTargets === !0; + if (he) + for (let ye = 0; ye < _.length; ye++) + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglMultisampledFramebuffer), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.RENDERBUFFER, null), t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglFramebuffer), i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.TEXTURE_2D, null, 0); + t.bindFramebuffer(i.READ_FRAMEBUFFER, ae.__webglMultisampledFramebuffer), t.bindFramebuffer(i.DRAW_FRAMEBUFFER, ae.__webglFramebuffer); + for (let ye = 0; ye < _.length; ye++) { + J.push(i.COLOR_ATTACHMENT0 + ye), M.depthBuffer && J.push(me); + const Fe = ae.__ignoreDepthValues !== void 0 ? ae.__ignoreDepthValues : !1; + if (Fe === !1 && (M.depthBuffer && (K |= i.DEPTH_BUFFER_BIT), M.stencilBuffer && (K |= i.STENCIL_BUFFER_BIT)), he && i.framebufferRenderbuffer(i.READ_FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.RENDERBUFFER, ae.__webglColorRenderbuffer[ye]), Fe === !0 && (i.invalidateFramebuffer(i.READ_FRAMEBUFFER, [me]), i.invalidateFramebuffer(i.DRAW_FRAMEBUFFER, [me])), he) { + const ee = n.get(_[ye]).__webglTexture; + i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, ee, 0); + } + i.blitFramebuffer(0, 0, I, $, 0, 0, I, $, K, i.NEAREST), c && i.invalidateFramebuffer(i.READ_FRAMEBUFFER, J); + } + if (t.bindFramebuffer(i.READ_FRAMEBUFFER, null), t.bindFramebuffer(i.DRAW_FRAMEBUFFER, null), he) + for (let ye = 0; ye < _.length; ye++) { + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglMultisampledFramebuffer), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.RENDERBUFFER, ae.__webglColorRenderbuffer[ye]); + const Fe = n.get(_[ye]).__webglTexture; + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglFramebuffer), i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.TEXTURE_2D, Fe, 0); + } + t.bindFramebuffer(i.DRAW_FRAMEBUFFER, ae.__webglMultisampledFramebuffer); + } + } + function Re(M) { + return Math.min(r.maxSamples, M.samples); + } + function pe(M) { + const _ = n.get(M); + return a && M.samples > 0 && e.has("WEBGL_multisampled_render_to_texture") === !0 && _.__useRenderToTexture !== !1; + } + function je(M) { + const _ = o.render.frame; + h.get(M) !== _ && (h.set(M, _), M.update()); + } + function be(M, _) { + const I = M.colorSpace, $ = M.format, K = M.type; + return M.isCompressedTexture === !0 || M.isVideoTexture === !0 || M.format === ts || I !== $t && I !== Ct && (Ke.getTransfer(I) === Ze ? a === !1 ? e.has("EXT_sRGB") === !0 && $ === Ft ? (M.format = ts, M.minFilter = Rt, M.generateMipmaps = !1) : _ = So.sRGBToLinear(_) : ($ !== Ft || K !== cn) && console.warn("THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType.") : console.error("THREE.WebGLTextures: Unsupported texture color space:", I)), _; + } + this.allocateTextureUnit = L, this.resetTextureUnits = re, this.setTexture2D = V, this.setTexture2DArray = Y, this.setTexture3D = X, this.setTextureCube = k, this.rebindTextures = Pe, this.setupRenderTarget = N, this.updateRenderTargetMipmap = rt, this.updateMultisampleRenderTarget = Me, this.setupDepthRenderbuffer = ge, this.setupFrameBufferTexture = _e, this.useMultisampledRTT = pe; +} +function Yf(i, e, t) { + const n = t.isWebGL2; + function r(s, o = Ct) { + let a; + const l = Ke.getTransfer(o); + if (s === cn) return i.UNSIGNED_BYTE; + if (s === uo) return i.UNSIGNED_SHORT_4_4_4_4; + if (s === ho) return i.UNSIGNED_SHORT_5_5_5_1; + if (s === wl) return i.BYTE; + if (s === Rl) return i.SHORT; + if (s === as) return i.UNSIGNED_SHORT; + if (s === co) return i.INT; + if (s === sn) return i.UNSIGNED_INT; + if (s === an) return i.FLOAT; + if (s === gi) + return n ? i.HALF_FLOAT : (a = e.get("OES_texture_half_float"), a !== null ? a.HALF_FLOAT_OES : null); + if (s === Cl) return i.ALPHA; + if (s === Ft) return i.RGBA; + if (s === Ll) return i.LUMINANCE; + if (s === Pl) return i.LUMINANCE_ALPHA; + if (s === yn) return i.DEPTH_COMPONENT; + if (s === ti) return i.DEPTH_STENCIL; + if (s === ts) + return a = e.get("EXT_sRGB"), a !== null ? a.SRGB_ALPHA_EXT : null; + if (s === Dl) return i.RED; + if (s === fo) return i.RED_INTEGER; + if (s === Ul) return i.RG; + if (s === po) return i.RG_INTEGER; + if (s === mo) return i.RGBA_INTEGER; + if (s === mr || s === _r || s === gr || s === vr) + if (l === Ze) + if (a = e.get("WEBGL_compressed_texture_s3tc_srgb"), a !== null) { + if (s === mr) return a.COMPRESSED_SRGB_S3TC_DXT1_EXT; + if (s === _r) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT; + if (s === gr) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT; + if (s === vr) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT; + } else + return null; + else if (a = e.get("WEBGL_compressed_texture_s3tc"), a !== null) { + if (s === mr) return a.COMPRESSED_RGB_S3TC_DXT1_EXT; + if (s === _r) return a.COMPRESSED_RGBA_S3TC_DXT1_EXT; + if (s === gr) return a.COMPRESSED_RGBA_S3TC_DXT3_EXT; + if (s === vr) return a.COMPRESSED_RGBA_S3TC_DXT5_EXT; + } else + return null; + if (s === Rs || s === Cs || s === Ls || s === Ps) + if (a = e.get("WEBGL_compressed_texture_pvrtc"), a !== null) { + if (s === Rs) return a.COMPRESSED_RGB_PVRTC_4BPPV1_IMG; + if (s === Cs) return a.COMPRESSED_RGB_PVRTC_2BPPV1_IMG; + if (s === Ls) return a.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG; + if (s === Ps) return a.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG; + } else + return null; + if (s === _o) + return a = e.get("WEBGL_compressed_texture_etc1"), a !== null ? a.COMPRESSED_RGB_ETC1_WEBGL : null; + if (s === Ds || s === Us) + if (a = e.get("WEBGL_compressed_texture_etc"), a !== null) { + if (s === Ds) return l === Ze ? a.COMPRESSED_SRGB8_ETC2 : a.COMPRESSED_RGB8_ETC2; + if (s === Us) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC : a.COMPRESSED_RGBA8_ETC2_EAC; + } else + return null; + if (s === Is || s === Ns || s === Fs || s === Os || s === Bs || s === zs || s === Gs || s === Hs || s === Vs || s === ks || s === Ws || s === Xs || s === qs || s === Ys) + if (a = e.get("WEBGL_compressed_texture_astc"), a !== null) { + if (s === Is) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR : a.COMPRESSED_RGBA_ASTC_4x4_KHR; + if (s === Ns) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR : a.COMPRESSED_RGBA_ASTC_5x4_KHR; + if (s === Fs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR : a.COMPRESSED_RGBA_ASTC_5x5_KHR; + if (s === Os) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR : a.COMPRESSED_RGBA_ASTC_6x5_KHR; + if (s === Bs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR : a.COMPRESSED_RGBA_ASTC_6x6_KHR; + if (s === zs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR : a.COMPRESSED_RGBA_ASTC_8x5_KHR; + if (s === Gs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR : a.COMPRESSED_RGBA_ASTC_8x6_KHR; + if (s === Hs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR : a.COMPRESSED_RGBA_ASTC_8x8_KHR; + if (s === Vs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR : a.COMPRESSED_RGBA_ASTC_10x5_KHR; + if (s === ks) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR : a.COMPRESSED_RGBA_ASTC_10x6_KHR; + if (s === Ws) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR : a.COMPRESSED_RGBA_ASTC_10x8_KHR; + if (s === Xs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR : a.COMPRESSED_RGBA_ASTC_10x10_KHR; + if (s === qs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR : a.COMPRESSED_RGBA_ASTC_12x10_KHR; + if (s === Ys) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR : a.COMPRESSED_RGBA_ASTC_12x12_KHR; + } else + return null; + if (s === xr || s === js || s === Ks) + if (a = e.get("EXT_texture_compression_bptc"), a !== null) { + if (s === xr) return l === Ze ? a.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT : a.COMPRESSED_RGBA_BPTC_UNORM_EXT; + if (s === js) return a.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT; + if (s === Ks) return a.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT; + } else + return null; + if (s === Il || s === Zs || s === $s || s === Js) + if (a = e.get("EXT_texture_compression_rgtc"), a !== null) { + if (s === xr) return a.COMPRESSED_RED_RGTC1_EXT; + if (s === Zs) return a.COMPRESSED_SIGNED_RED_RGTC1_EXT; + if (s === $s) return a.COMPRESSED_RED_GREEN_RGTC2_EXT; + if (s === Js) return a.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT; + } else + return null; + return s === En ? n ? i.UNSIGNED_INT_24_8 : (a = e.get("WEBGL_depth_texture"), a !== null ? a.UNSIGNED_INT_24_8_WEBGL : null) : i[s] !== void 0 ? i[s] : null; + } + return { convert: r }; +} +class jf extends Tt { + constructor(e = []) { + super(), this.isArrayCamera = !0, this.cameras = e; + } +} +class qi extends dt { + constructor() { + super(), this.isGroup = !0, this.type = "Group"; + } +} +const Kf = { type: "move" }; +class kr { + constructor() { + this._targetRay = null, this._grip = null, this._hand = null; + } + getHandSpace() { + return this._hand === null && (this._hand = new qi(), this._hand.matrixAutoUpdate = !1, this._hand.visible = !1, this._hand.joints = {}, this._hand.inputState = { pinching: !1 }), this._hand; + } + getTargetRaySpace() { + return this._targetRay === null && (this._targetRay = new qi(), this._targetRay.matrixAutoUpdate = !1, this._targetRay.visible = !1, this._targetRay.hasLinearVelocity = !1, this._targetRay.linearVelocity = new P(), this._targetRay.hasAngularVelocity = !1, this._targetRay.angularVelocity = new P()), this._targetRay; + } + getGripSpace() { + return this._grip === null && (this._grip = new qi(), this._grip.matrixAutoUpdate = !1, this._grip.visible = !1, this._grip.hasLinearVelocity = !1, this._grip.linearVelocity = new P(), this._grip.hasAngularVelocity = !1, this._grip.angularVelocity = new P()), this._grip; + } + dispatchEvent(e) { + return this._targetRay !== null && this._targetRay.dispatchEvent(e), this._grip !== null && this._grip.dispatchEvent(e), this._hand !== null && this._hand.dispatchEvent(e), this; + } + connect(e) { + if (e && e.hand) { + const t = this._hand; + if (t) + for (const n of e.hand.values()) + this._getHandJoint(t, n); + } + return this.dispatchEvent({ type: "connected", data: e }), this; + } + disconnect(e) { + return this.dispatchEvent({ type: "disconnected", data: e }), this._targetRay !== null && (this._targetRay.visible = !1), this._grip !== null && (this._grip.visible = !1), this._hand !== null && (this._hand.visible = !1), this; + } + update(e, t, n) { + let r = null, s = null, o = null; + const a = this._targetRay, l = this._grip, c = this._hand; + if (e && t.session.visibilityState !== "visible-blurred") { + if (c && e.hand) { + o = !0; + for (const v of e.hand.values()) { + const f = t.getJointPose(v, n), u = this._getHandJoint(c, v); + f !== null && (u.matrix.fromArray(f.transform.matrix), u.matrix.decompose(u.position, u.rotation, u.scale), u.matrixWorldNeedsUpdate = !0, u.jointRadius = f.radius), u.visible = f !== null; + } + const h = c.joints["index-finger-tip"], d = c.joints["thumb-tip"], p = h.position.distanceTo(d.position), m = 0.02, g = 5e-3; + c.inputState.pinching && p > m + g ? (c.inputState.pinching = !1, this.dispatchEvent({ + type: "pinchend", + handedness: e.handedness, + target: this + })) : !c.inputState.pinching && p <= m - g && (c.inputState.pinching = !0, this.dispatchEvent({ + type: "pinchstart", + handedness: e.handedness, + target: this + })); + } else + l !== null && e.gripSpace && (s = t.getPose(e.gripSpace, n), s !== null && (l.matrix.fromArray(s.transform.matrix), l.matrix.decompose(l.position, l.rotation, l.scale), l.matrixWorldNeedsUpdate = !0, s.linearVelocity ? (l.hasLinearVelocity = !0, l.linearVelocity.copy(s.linearVelocity)) : l.hasLinearVelocity = !1, s.angularVelocity ? (l.hasAngularVelocity = !0, l.angularVelocity.copy(s.angularVelocity)) : l.hasAngularVelocity = !1)); + a !== null && (r = t.getPose(e.targetRaySpace, n), r === null && s !== null && (r = s), r !== null && (a.matrix.fromArray(r.transform.matrix), a.matrix.decompose(a.position, a.rotation, a.scale), a.matrixWorldNeedsUpdate = !0, r.linearVelocity ? (a.hasLinearVelocity = !0, a.linearVelocity.copy(r.linearVelocity)) : a.hasLinearVelocity = !1, r.angularVelocity ? (a.hasAngularVelocity = !0, a.angularVelocity.copy(r.angularVelocity)) : a.hasAngularVelocity = !1, this.dispatchEvent(Kf))); + } + return a !== null && (a.visible = r !== null), l !== null && (l.visible = s !== null), c !== null && (c.visible = o !== null), this; + } + // private method + _getHandJoint(e, t) { + if (e.joints[t.jointName] === void 0) { + const n = new qi(); + n.matrixAutoUpdate = !1, n.visible = !1, e.joints[t.jointName] = n, e.add(n); + } + return e.joints[t.jointName]; + } +} +class Zf extends Rn { + constructor(e, t) { + super(); + const n = this; + let r = null, s = 1, o = null, a = "local-floor", l = 1, c = null, h = null, d = null, p = null, m = null, g = null; + const v = t.getContextAttributes(); + let f = null, u = null; + const b = [], S = [], R = new Ie(); + let D = null; + const C = new Tt(); + C.layers.enable(1), C.viewport = new $e(); + const A = new Tt(); + A.layers.enable(2), A.viewport = new $e(); + const W = [C, A], x = new jf(); + x.layers.enable(1), x.layers.enable(2); + let y = null, z = null; + this.cameraAutoUpdate = !0, this.enabled = !1, this.isPresenting = !1, this.getController = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getTargetRaySpace(); + }, this.getControllerGrip = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getGripSpace(); + }, this.getHand = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getHandSpace(); + }; + function Z(H) { + const j = S.indexOf(H.inputSource); + if (j === -1) + return; + const oe = b[j]; + oe !== void 0 && (oe.update(H.inputSource, H.frame, c || o), oe.dispatchEvent({ type: H.type, data: H.inputSource })); + } + function re() { + r.removeEventListener("select", Z), r.removeEventListener("selectstart", Z), r.removeEventListener("selectend", Z), r.removeEventListener("squeeze", Z), r.removeEventListener("squeezestart", Z), r.removeEventListener("squeezeend", Z), r.removeEventListener("end", re), r.removeEventListener("inputsourceschange", L); + for (let H = 0; H < b.length; H++) { + const j = S[H]; + j !== null && (S[H] = null, b[H].disconnect(j)); + } + y = null, z = null, e.setRenderTarget(f), m = null, p = null, d = null, r = null, u = null, ce.stop(), n.isPresenting = !1, e.setPixelRatio(D), e.setSize(R.width, R.height, !1), n.dispatchEvent({ type: "sessionend" }); + } + this.setFramebufferScaleFactor = function(H) { + s = H, n.isPresenting === !0 && console.warn("THREE.WebXRManager: Cannot change framebuffer scale while presenting."); + }, this.setReferenceSpaceType = function(H) { + a = H, n.isPresenting === !0 && console.warn("THREE.WebXRManager: Cannot change reference space type while presenting."); + }, this.getReferenceSpace = function() { + return c || o; + }, this.setReferenceSpace = function(H) { + c = H; + }, this.getBaseLayer = function() { + return p !== null ? p : m; + }, this.getBinding = function() { + return d; + }, this.getFrame = function() { + return g; + }, this.getSession = function() { + return r; + }, this.setSession = async function(H) { + if (r = H, r !== null) { + if (f = e.getRenderTarget(), r.addEventListener("select", Z), r.addEventListener("selectstart", Z), r.addEventListener("selectend", Z), r.addEventListener("squeeze", Z), r.addEventListener("squeezestart", Z), r.addEventListener("squeezeend", Z), r.addEventListener("end", re), r.addEventListener("inputsourceschange", L), v.xrCompatible !== !0 && await t.makeXRCompatible(), D = e.getPixelRatio(), e.getSize(R), r.renderState.layers === void 0 || e.capabilities.isWebGL2 === !1) { + const j = { + antialias: r.renderState.layers === void 0 ? v.antialias : !0, + alpha: !0, + depth: v.depth, + stencil: v.stencil, + framebufferScaleFactor: s + }; + m = new XRWebGLLayer(r, t, j), r.updateRenderState({ baseLayer: m }), e.setPixelRatio(1), e.setSize(m.framebufferWidth, m.framebufferHeight, !1), u = new bn( + m.framebufferWidth, + m.framebufferHeight, + { + format: Ft, + type: cn, + colorSpace: e.outputColorSpace, + stencilBuffer: v.stencil + } + ); + } else { + let j = null, oe = null, ve = null; + v.depth && (ve = v.stencil ? t.DEPTH24_STENCIL8 : t.DEPTH_COMPONENT24, j = v.stencil ? ti : yn, oe = v.stencil ? En : sn); + const _e = { + colorFormat: t.RGBA8, + depthFormat: ve, + scaleFactor: s + }; + d = new XRWebGLBinding(r, t), p = d.createProjectionLayer(_e), r.updateRenderState({ layers: [p] }), e.setPixelRatio(1), e.setSize(p.textureWidth, p.textureHeight, !1), u = new bn( + p.textureWidth, + p.textureHeight, + { + format: Ft, + type: cn, + depthTexture: new Io(p.textureWidth, p.textureHeight, oe, void 0, void 0, void 0, void 0, void 0, void 0, j), + stencilBuffer: v.stencil, + colorSpace: e.outputColorSpace, + samples: v.antialias ? 4 : 0 + } + ); + const we = e.properties.get(u); + we.__ignoreDepthValues = p.ignoreDepthValues; + } + u.isXRRenderTarget = !0, this.setFoveation(l), c = null, o = await r.requestReferenceSpace(a), ce.setContext(r), ce.start(), n.isPresenting = !0, n.dispatchEvent({ type: "sessionstart" }); + } + }, this.getEnvironmentBlendMode = function() { + if (r !== null) + return r.environmentBlendMode; + }; + function L(H) { + for (let j = 0; j < H.removed.length; j++) { + const oe = H.removed[j], ve = S.indexOf(oe); + ve >= 0 && (S[ve] = null, b[ve].disconnect(oe)); + } + for (let j = 0; j < H.added.length; j++) { + const oe = H.added[j]; + let ve = S.indexOf(oe); + if (ve === -1) { + for (let we = 0; we < b.length; we++) + if (we >= S.length) { + S.push(oe), ve = we; + break; + } else if (S[we] === null) { + S[we] = oe, ve = we; + break; + } + if (ve === -1) break; + } + const _e = b[ve]; + _e && _e.connect(oe); + } + } + const F = new P(), V = new P(); + function Y(H, j, oe) { + F.setFromMatrixPosition(j.matrixWorld), V.setFromMatrixPosition(oe.matrixWorld); + const ve = F.distanceTo(V), _e = j.projectionMatrix.elements, we = oe.projectionMatrix.elements, Ae = _e[14] / (_e[10] - 1), ge = _e[14] / (_e[10] + 1), Pe = (_e[9] + 1) / _e[5], N = (_e[9] - 1) / _e[5], rt = (_e[8] - 1) / _e[0], Me = (we[8] + 1) / we[0], Re = Ae * rt, pe = Ae * Me, je = ve / (-rt + Me), be = je * -rt; + j.matrixWorld.decompose(H.position, H.quaternion, H.scale), H.translateX(be), H.translateZ(je), H.matrixWorld.compose(H.position, H.quaternion, H.scale), H.matrixWorldInverse.copy(H.matrixWorld).invert(); + const M = Ae + je, _ = ge + je, I = Re - be, $ = pe + (ve - be), K = Pe * ge / _ * M, J = N * ge / _ * M; + H.projectionMatrix.makePerspective(I, $, K, J, M, _), H.projectionMatrixInverse.copy(H.projectionMatrix).invert(); + } + function X(H, j) { + j === null ? H.matrixWorld.copy(H.matrix) : H.matrixWorld.multiplyMatrices(j.matrixWorld, H.matrix), H.matrixWorldInverse.copy(H.matrixWorld).invert(); + } + this.updateCamera = function(H) { + if (r === null) return; + x.near = A.near = C.near = H.near, x.far = A.far = C.far = H.far, (y !== x.near || z !== x.far) && (r.updateRenderState({ + depthNear: x.near, + depthFar: x.far + }), y = x.near, z = x.far); + const j = H.parent, oe = x.cameras; + X(x, j); + for (let ve = 0; ve < oe.length; ve++) + X(oe[ve], j); + oe.length === 2 ? Y(x, C, A) : x.projectionMatrix.copy(C.projectionMatrix), k(H, x, j); + }; + function k(H, j, oe) { + oe === null ? H.matrix.copy(j.matrixWorld) : (H.matrix.copy(oe.matrixWorld), H.matrix.invert(), H.matrix.multiply(j.matrixWorld)), H.matrix.decompose(H.position, H.quaternion, H.scale), H.updateMatrixWorld(!0), H.projectionMatrix.copy(j.projectionMatrix), H.projectionMatrixInverse.copy(j.projectionMatrixInverse), H.isPerspectiveCamera && (H.fov = ns * 2 * Math.atan(1 / H.projectionMatrix.elements[5]), H.zoom = 1); + } + this.getCamera = function() { + return x; + }, this.getFoveation = function() { + if (!(p === null && m === null)) + return l; + }, this.setFoveation = function(H) { + l = H, p !== null && (p.fixedFoveation = H), m !== null && m.fixedFoveation !== void 0 && (m.fixedFoveation = H); + }; + let q = null; + function Q(H, j) { + if (h = j.getViewerPose(c || o), g = j, h !== null) { + const oe = h.views; + m !== null && (e.setRenderTargetFramebuffer(u, m.framebuffer), e.setRenderTarget(u)); + let ve = !1; + oe.length !== x.cameras.length && (x.cameras.length = 0, ve = !0); + for (let _e = 0; _e < oe.length; _e++) { + const we = oe[_e]; + let Ae = null; + if (m !== null) + Ae = m.getViewport(we); + else { + const Pe = d.getViewSubImage(p, we); + Ae = Pe.viewport, _e === 0 && (e.setRenderTargetTextures( + u, + Pe.colorTexture, + p.ignoreDepthValues ? void 0 : Pe.depthStencilTexture + ), e.setRenderTarget(u)); + } + let ge = W[_e]; + ge === void 0 && (ge = new Tt(), ge.layers.enable(_e), ge.viewport = new $e(), W[_e] = ge), ge.matrix.fromArray(we.transform.matrix), ge.matrix.decompose(ge.position, ge.quaternion, ge.scale), ge.projectionMatrix.fromArray(we.projectionMatrix), ge.projectionMatrixInverse.copy(ge.projectionMatrix).invert(), ge.viewport.set(Ae.x, Ae.y, Ae.width, Ae.height), _e === 0 && (x.matrix.copy(ge.matrix), x.matrix.decompose(x.position, x.quaternion, x.scale)), ve === !0 && x.cameras.push(ge); + } + } + for (let oe = 0; oe < b.length; oe++) { + const ve = S[oe], _e = b[oe]; + ve !== null && _e !== void 0 && _e.update(ve, j, c || o); + } + q && q(H, j), j.detectedPlanes && n.dispatchEvent({ type: "planesdetected", data: j }), g = null; + } + const ce = new Do(); + ce.setAnimationLoop(Q), this.setAnimationLoop = function(H) { + q = H; + }, this.dispose = function() { + }; + } +} +function $f(i, e) { + function t(f, u) { + f.matrixAutoUpdate === !0 && f.updateMatrix(), u.value.copy(f.matrix); + } + function n(f, u) { + u.color.getRGB(f.fogColor.value, Co(i)), u.isFog ? (f.fogNear.value = u.near, f.fogFar.value = u.far) : u.isFogExp2 && (f.fogDensity.value = u.density); + } + function r(f, u, b, S, R) { + u.isMeshBasicMaterial || u.isMeshLambertMaterial ? s(f, u) : u.isMeshToonMaterial ? (s(f, u), d(f, u)) : u.isMeshPhongMaterial ? (s(f, u), h(f, u)) : u.isMeshStandardMaterial ? (s(f, u), p(f, u), u.isMeshPhysicalMaterial && m(f, u, R)) : u.isMeshMatcapMaterial ? (s(f, u), g(f, u)) : u.isMeshDepthMaterial ? s(f, u) : u.isMeshDistanceMaterial ? (s(f, u), v(f, u)) : u.isMeshNormalMaterial ? s(f, u) : u.isLineBasicMaterial ? (o(f, u), u.isLineDashedMaterial && a(f, u)) : u.isPointsMaterial ? l(f, u, b, S) : u.isSpriteMaterial ? c(f, u) : u.isShadowMaterial ? (f.color.value.copy(u.color), f.opacity.value = u.opacity) : u.isShaderMaterial && (u.uniformsNeedUpdate = !1); + } + function s(f, u) { + f.opacity.value = u.opacity, u.color && f.diffuse.value.copy(u.color), u.emissive && f.emissive.value.copy(u.emissive).multiplyScalar(u.emissiveIntensity), u.map && (f.map.value = u.map, t(u.map, f.mapTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.bumpMap && (f.bumpMap.value = u.bumpMap, t(u.bumpMap, f.bumpMapTransform), f.bumpScale.value = u.bumpScale, u.side === Mt && (f.bumpScale.value *= -1)), u.normalMap && (f.normalMap.value = u.normalMap, t(u.normalMap, f.normalMapTransform), f.normalScale.value.copy(u.normalScale), u.side === Mt && f.normalScale.value.negate()), u.displacementMap && (f.displacementMap.value = u.displacementMap, t(u.displacementMap, f.displacementMapTransform), f.displacementScale.value = u.displacementScale, f.displacementBias.value = u.displacementBias), u.emissiveMap && (f.emissiveMap.value = u.emissiveMap, t(u.emissiveMap, f.emissiveMapTransform)), u.specularMap && (f.specularMap.value = u.specularMap, t(u.specularMap, f.specularMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + const b = e.get(u).envMap; + if (b && (f.envMap.value = b, f.flipEnvMap.value = b.isCubeTexture && b.isRenderTargetTexture === !1 ? -1 : 1, f.reflectivity.value = u.reflectivity, f.ior.value = u.ior, f.refractionRatio.value = u.refractionRatio), u.lightMap) { + f.lightMap.value = u.lightMap; + const S = i._useLegacyLights === !0 ? Math.PI : 1; + f.lightMapIntensity.value = u.lightMapIntensity * S, t(u.lightMap, f.lightMapTransform); + } + u.aoMap && (f.aoMap.value = u.aoMap, f.aoMapIntensity.value = u.aoMapIntensity, t(u.aoMap, f.aoMapTransform)); + } + function o(f, u) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, u.map && (f.map.value = u.map, t(u.map, f.mapTransform)); + } + function a(f, u) { + f.dashSize.value = u.dashSize, f.totalSize.value = u.dashSize + u.gapSize, f.scale.value = u.scale; + } + function l(f, u, b, S) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, f.size.value = u.size * b, f.scale.value = S * 0.5, u.map && (f.map.value = u.map, t(u.map, f.uvTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + } + function c(f, u) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, f.rotation.value = u.rotation, u.map && (f.map.value = u.map, t(u.map, f.mapTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + } + function h(f, u) { + f.specular.value.copy(u.specular), f.shininess.value = Math.max(u.shininess, 1e-4); + } + function d(f, u) { + u.gradientMap && (f.gradientMap.value = u.gradientMap); + } + function p(f, u) { + f.metalness.value = u.metalness, u.metalnessMap && (f.metalnessMap.value = u.metalnessMap, t(u.metalnessMap, f.metalnessMapTransform)), f.roughness.value = u.roughness, u.roughnessMap && (f.roughnessMap.value = u.roughnessMap, t(u.roughnessMap, f.roughnessMapTransform)), e.get(u).envMap && (f.envMapIntensity.value = u.envMapIntensity); + } + function m(f, u, b) { + f.ior.value = u.ior, u.sheen > 0 && (f.sheenColor.value.copy(u.sheenColor).multiplyScalar(u.sheen), f.sheenRoughness.value = u.sheenRoughness, u.sheenColorMap && (f.sheenColorMap.value = u.sheenColorMap, t(u.sheenColorMap, f.sheenColorMapTransform)), u.sheenRoughnessMap && (f.sheenRoughnessMap.value = u.sheenRoughnessMap, t(u.sheenRoughnessMap, f.sheenRoughnessMapTransform))), u.clearcoat > 0 && (f.clearcoat.value = u.clearcoat, f.clearcoatRoughness.value = u.clearcoatRoughness, u.clearcoatMap && (f.clearcoatMap.value = u.clearcoatMap, t(u.clearcoatMap, f.clearcoatMapTransform)), u.clearcoatRoughnessMap && (f.clearcoatRoughnessMap.value = u.clearcoatRoughnessMap, t(u.clearcoatRoughnessMap, f.clearcoatRoughnessMapTransform)), u.clearcoatNormalMap && (f.clearcoatNormalMap.value = u.clearcoatNormalMap, t(u.clearcoatNormalMap, f.clearcoatNormalMapTransform), f.clearcoatNormalScale.value.copy(u.clearcoatNormalScale), u.side === Mt && f.clearcoatNormalScale.value.negate())), u.iridescence > 0 && (f.iridescence.value = u.iridescence, f.iridescenceIOR.value = u.iridescenceIOR, f.iridescenceThicknessMinimum.value = u.iridescenceThicknessRange[0], f.iridescenceThicknessMaximum.value = u.iridescenceThicknessRange[1], u.iridescenceMap && (f.iridescenceMap.value = u.iridescenceMap, t(u.iridescenceMap, f.iridescenceMapTransform)), u.iridescenceThicknessMap && (f.iridescenceThicknessMap.value = u.iridescenceThicknessMap, t(u.iridescenceThicknessMap, f.iridescenceThicknessMapTransform))), u.transmission > 0 && (f.transmission.value = u.transmission, f.transmissionSamplerMap.value = b.texture, f.transmissionSamplerSize.value.set(b.width, b.height), u.transmissionMap && (f.transmissionMap.value = u.transmissionMap, t(u.transmissionMap, f.transmissionMapTransform)), f.thickness.value = u.thickness, u.thicknessMap && (f.thicknessMap.value = u.thicknessMap, t(u.thicknessMap, f.thicknessMapTransform)), f.attenuationDistance.value = u.attenuationDistance, f.attenuationColor.value.copy(u.attenuationColor)), u.anisotropy > 0 && (f.anisotropyVector.value.set(u.anisotropy * Math.cos(u.anisotropyRotation), u.anisotropy * Math.sin(u.anisotropyRotation)), u.anisotropyMap && (f.anisotropyMap.value = u.anisotropyMap, t(u.anisotropyMap, f.anisotropyMapTransform))), f.specularIntensity.value = u.specularIntensity, f.specularColor.value.copy(u.specularColor), u.specularColorMap && (f.specularColorMap.value = u.specularColorMap, t(u.specularColorMap, f.specularColorMapTransform)), u.specularIntensityMap && (f.specularIntensityMap.value = u.specularIntensityMap, t(u.specularIntensityMap, f.specularIntensityMapTransform)); + } + function g(f, u) { + u.matcap && (f.matcap.value = u.matcap); + } + function v(f, u) { + const b = e.get(u).light; + f.referencePosition.value.setFromMatrixPosition(b.matrixWorld), f.nearDistance.value = b.shadow.camera.near, f.farDistance.value = b.shadow.camera.far; + } + return { + refreshFogUniforms: n, + refreshMaterialUniforms: r + }; +} +function Jf(i, e, t, n) { + let r = {}, s = {}, o = []; + const a = t.isWebGL2 ? i.getParameter(i.MAX_UNIFORM_BUFFER_BINDINGS) : 0; + function l(b, S) { + const R = S.program; + n.uniformBlockBinding(b, R); + } + function c(b, S) { + let R = r[b.id]; + R === void 0 && (g(b), R = h(b), r[b.id] = R, b.addEventListener("dispose", f)); + const D = S.program; + n.updateUBOMapping(b, D); + const C = e.render.frame; + s[b.id] !== C && (p(b), s[b.id] = C); + } + function h(b) { + const S = d(); + b.__bindingPointIndex = S; + const R = i.createBuffer(), D = b.__size, C = b.usage; + return i.bindBuffer(i.UNIFORM_BUFFER, R), i.bufferData(i.UNIFORM_BUFFER, D, C), i.bindBuffer(i.UNIFORM_BUFFER, null), i.bindBufferBase(i.UNIFORM_BUFFER, S, R), R; + } + function d() { + for (let b = 0; b < a; b++) + if (o.indexOf(b) === -1) + return o.push(b), b; + return console.error("THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached."), 0; + } + function p(b) { + const S = r[b.id], R = b.uniforms, D = b.__cache; + i.bindBuffer(i.UNIFORM_BUFFER, S); + for (let C = 0, A = R.length; C < A; C++) { + const W = Array.isArray(R[C]) ? R[C] : [R[C]]; + for (let x = 0, y = W.length; x < y; x++) { + const z = W[x]; + if (m(z, C, x, D) === !0) { + const Z = z.__offset, re = Array.isArray(z.value) ? z.value : [z.value]; + let L = 0; + for (let F = 0; F < re.length; F++) { + const V = re[F], Y = v(V); + typeof V == "number" || typeof V == "boolean" ? (z.__data[0] = V, i.bufferSubData(i.UNIFORM_BUFFER, Z + L, z.__data)) : V.isMatrix3 ? (z.__data[0] = V.elements[0], z.__data[1] = V.elements[1], z.__data[2] = V.elements[2], z.__data[3] = 0, z.__data[4] = V.elements[3], z.__data[5] = V.elements[4], z.__data[6] = V.elements[5], z.__data[7] = 0, z.__data[8] = V.elements[6], z.__data[9] = V.elements[7], z.__data[10] = V.elements[8], z.__data[11] = 0) : (V.toArray(z.__data, L), L += Y.storage / Float32Array.BYTES_PER_ELEMENT); + } + i.bufferSubData(i.UNIFORM_BUFFER, Z, z.__data); + } + } + } + i.bindBuffer(i.UNIFORM_BUFFER, null); + } + function m(b, S, R, D) { + const C = b.value, A = S + "_" + R; + if (D[A] === void 0) + return typeof C == "number" || typeof C == "boolean" ? D[A] = C : D[A] = C.clone(), !0; + { + const W = D[A]; + if (typeof C == "number" || typeof C == "boolean") { + if (W !== C) + return D[A] = C, !0; + } else if (W.equals(C) === !1) + return W.copy(C), !0; + } + return !1; + } + function g(b) { + const S = b.uniforms; + let R = 0; + const D = 16; + for (let A = 0, W = S.length; A < W; A++) { + const x = Array.isArray(S[A]) ? S[A] : [S[A]]; + for (let y = 0, z = x.length; y < z; y++) { + const Z = x[y], re = Array.isArray(Z.value) ? Z.value : [Z.value]; + for (let L = 0, F = re.length; L < F; L++) { + const V = re[L], Y = v(V), X = R % D; + X !== 0 && D - X < Y.boundary && (R += D - X), Z.__data = new Float32Array(Y.storage / Float32Array.BYTES_PER_ELEMENT), Z.__offset = R, R += Y.storage; + } + } + } + const C = R % D; + return C > 0 && (R += D - C), b.__size = R, b.__cache = {}, this; + } + function v(b) { + const S = { + boundary: 0, + // bytes + storage: 0 + // bytes + }; + return typeof b == "number" || typeof b == "boolean" ? (S.boundary = 4, S.storage = 4) : b.isVector2 ? (S.boundary = 8, S.storage = 8) : b.isVector3 || b.isColor ? (S.boundary = 16, S.storage = 12) : b.isVector4 ? (S.boundary = 16, S.storage = 16) : b.isMatrix3 ? (S.boundary = 48, S.storage = 48) : b.isMatrix4 ? (S.boundary = 64, S.storage = 64) : b.isTexture ? console.warn("THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group.") : console.warn("THREE.WebGLRenderer: Unsupported uniform value type.", b), S; + } + function f(b) { + const S = b.target; + S.removeEventListener("dispose", f); + const R = o.indexOf(S.__bindingPointIndex); + o.splice(R, 1), i.deleteBuffer(r[S.id]), delete r[S.id], delete s[S.id]; + } + function u() { + for (const b in r) + i.deleteBuffer(r[b]); + o = [], r = {}, s = {}; + } + return { + bind: l, + update: c, + dispose: u + }; +} +class Go { + constructor(e = {}) { + const { + canvas: t = Yl(), + context: n = null, + depth: r = !0, + stencil: s = !0, + alpha: o = !1, + antialias: a = !1, + premultipliedAlpha: l = !0, + preserveDrawingBuffer: c = !1, + powerPreference: h = "default", + failIfMajorPerformanceCaveat: d = !1 + } = e; + this.isWebGLRenderer = !0; + let p; + n !== null ? p = n.getContextAttributes().alpha : p = o; + const m = new Uint32Array(4), g = new Int32Array(4); + let v = null, f = null; + const u = [], b = []; + this.domElement = t, this.debug = { + /** + * Enables error checking and reporting when shader programs are being compiled + * @type {boolean} + */ + checkShaderErrors: !0, + /** + * Callback for custom error reporting. + * @type {?Function} + */ + onShaderError: null + }, this.autoClear = !0, this.autoClearColor = !0, this.autoClearDepth = !0, this.autoClearStencil = !0, this.sortObjects = !0, this.clippingPlanes = [], this.localClippingEnabled = !1, this._outputColorSpace = ht, this._useLegacyLights = !1, this.toneMapping = ln, this.toneMappingExposure = 1; + const S = this; + let R = !1, D = 0, C = 0, A = null, W = -1, x = null; + const y = new $e(), z = new $e(); + let Z = null; + const re = new Xe(0); + let L = 0, F = t.width, V = t.height, Y = 1, X = null, k = null; + const q = new $e(0, 0, F, V), Q = new $e(0, 0, F, V); + let ce = !1; + const H = new cs(); + let j = !1, oe = !1, ve = null; + const _e = new Qe(), we = new Ie(), Ae = new P(), ge = { background: null, fog: null, environment: null, overrideMaterial: null, isScene: !0 }; + function Pe() { + return A === null ? Y : 1; + } + let N = n; + function rt(E, U) { + for (let B = 0; B < E.length; B++) { + const G = E[B], O = t.getContext(G, U); + if (O !== null) return O; + } + return null; + } + try { + const E = { + alpha: !0, + depth: r, + stencil: s, + antialias: a, + premultipliedAlpha: l, + preserveDrawingBuffer: c, + powerPreference: h, + failIfMajorPerformanceCaveat: d + }; + if ("setAttribute" in t && t.setAttribute("data-engine", `three.js r${ss}`), t.addEventListener("webglcontextlost", te, !1), t.addEventListener("webglcontextrestored", w, !1), t.addEventListener("webglcontextcreationerror", ie, !1), N === null) { + const U = ["webgl2", "webgl", "experimental-webgl"]; + if (S.isWebGL1Renderer === !0 && U.shift(), N = rt(U, E), N === null) + throw rt(U) ? new Error("Error creating WebGL context with your selected attributes.") : new Error("Error creating WebGL context."); + } + typeof WebGLRenderingContext < "u" && N instanceof WebGLRenderingContext && console.warn("THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163."), N.getShaderPrecisionFormat === void 0 && (N.getShaderPrecisionFormat = function() { + return { rangeMin: 1, rangeMax: 1, precision: 1 }; + }); + } catch (E) { + throw console.error("THREE.WebGLRenderer: " + E.message), E; + } + let Me, Re, pe, je, be, M, _, I, $, K, J, me, ae, he, ye, Fe, ee, Ye, ze, De, Ee, ue, T, ne; + function xe() { + Me = new od(N), Re = new td(N, Me, e), Me.init(Re), ue = new Yf(N, Me, Re), pe = new Xf(N, Me, Re), je = new ud(N), be = new Pf(), M = new qf(N, Me, pe, be, Re, ue, je), _ = new id(S), I = new ad(S), $ = new vc(N, Re), T = new Qh(N, Me, $, Re), K = new ld(N, $, je, T), J = new pd(N, K, $, je), ze = new fd(N, Re, M), Fe = new nd(be), me = new Lf(S, _, I, Me, Re, T, Fe), ae = new $f(S, be), he = new Uf(), ye = new zf(Me, Re), Ye = new Jh(S, _, I, pe, J, p, l), ee = new Wf(S, J, Re), ne = new Jf(N, je, Re, pe), De = new ed(N, Me, je, Re), Ee = new cd(N, Me, je, Re), je.programs = me.programs, S.capabilities = Re, S.extensions = Me, S.properties = be, S.renderLists = he, S.shadowMap = ee, S.state = pe, S.info = je; + } + xe(); + const fe = new Zf(S, N); + this.xr = fe, this.getContext = function() { + return N; + }, this.getContextAttributes = function() { + return N.getContextAttributes(); + }, this.forceContextLoss = function() { + const E = Me.get("WEBGL_lose_context"); + E && E.loseContext(); + }, this.forceContextRestore = function() { + const E = Me.get("WEBGL_lose_context"); + E && E.restoreContext(); + }, this.getPixelRatio = function() { + return Y; + }, this.setPixelRatio = function(E) { + E !== void 0 && (Y = E, this.setSize(F, V, !1)); + }, this.getSize = function(E) { + return E.set(F, V); + }, this.setSize = function(E, U, B = !0) { + if (fe.isPresenting) { + console.warn("THREE.WebGLRenderer: Can't change size while VR device is presenting."); + return; + } + F = E, V = U, t.width = Math.floor(E * Y), t.height = Math.floor(U * Y), B === !0 && (t.style.width = E + "px", t.style.height = U + "px"), this.setViewport(0, 0, E, U); + }, this.getDrawingBufferSize = function(E) { + return E.set(F * Y, V * Y).floor(); + }, this.setDrawingBufferSize = function(E, U, B) { + F = E, V = U, Y = B, t.width = Math.floor(E * B), t.height = Math.floor(U * B), this.setViewport(0, 0, E, U); + }, this.getCurrentViewport = function(E) { + return E.copy(y); + }, this.getViewport = function(E) { + return E.copy(q); + }, this.setViewport = function(E, U, B, G) { + E.isVector4 ? q.set(E.x, E.y, E.z, E.w) : q.set(E, U, B, G), pe.viewport(y.copy(q).multiplyScalar(Y).floor()); + }, this.getScissor = function(E) { + return E.copy(Q); + }, this.setScissor = function(E, U, B, G) { + E.isVector4 ? Q.set(E.x, E.y, E.z, E.w) : Q.set(E, U, B, G), pe.scissor(z.copy(Q).multiplyScalar(Y).floor()); + }, this.getScissorTest = function() { + return ce; + }, this.setScissorTest = function(E) { + pe.setScissorTest(ce = E); + }, this.setOpaqueSort = function(E) { + X = E; + }, this.setTransparentSort = function(E) { + k = E; + }, this.getClearColor = function(E) { + return E.copy(Ye.getClearColor()); + }, this.setClearColor = function() { + Ye.setClearColor.apply(Ye, arguments); + }, this.getClearAlpha = function() { + return Ye.getClearAlpha(); + }, this.setClearAlpha = function() { + Ye.setClearAlpha.apply(Ye, arguments); + }, this.clear = function(E = !0, U = !0, B = !0) { + let G = 0; + if (E) { + let O = !1; + if (A !== null) { + const de = A.texture.format; + O = de === mo || de === po || de === fo; + } + if (O) { + const de = A.texture.type, Se = de === cn || de === sn || de === as || de === En || de === uo || de === ho, Le = Ye.getClearColor(), Ue = Ye.getClearAlpha(), Ge = Le.r, Ne = Le.g, Oe = Le.b; + Se ? (m[0] = Ge, m[1] = Ne, m[2] = Oe, m[3] = Ue, N.clearBufferuiv(N.COLOR, 0, m)) : (g[0] = Ge, g[1] = Ne, g[2] = Oe, g[3] = Ue, N.clearBufferiv(N.COLOR, 0, g)); + } else + G |= N.COLOR_BUFFER_BIT; + } + U && (G |= N.DEPTH_BUFFER_BIT), B && (G |= N.STENCIL_BUFFER_BIT, this.state.buffers.stencil.setMask(4294967295)), N.clear(G); + }, this.clearColor = function() { + this.clear(!0, !1, !1); + }, this.clearDepth = function() { + this.clear(!1, !0, !1); + }, this.clearStencil = function() { + this.clear(!1, !1, !0); + }, this.dispose = function() { + t.removeEventListener("webglcontextlost", te, !1), t.removeEventListener("webglcontextrestored", w, !1), t.removeEventListener("webglcontextcreationerror", ie, !1), he.dispose(), ye.dispose(), be.dispose(), _.dispose(), I.dispose(), J.dispose(), T.dispose(), ne.dispose(), me.dispose(), fe.dispose(), fe.removeEventListener("sessionstart", nt), fe.removeEventListener("sessionend", qe), ve && (ve.dispose(), ve = null), st.stop(); + }; + function te(E) { + E.preventDefault(), console.log("THREE.WebGLRenderer: Context Lost."), R = !0; + } + function w() { + console.log("THREE.WebGLRenderer: Context Restored."), R = !1; + const E = je.autoReset, U = ee.enabled, B = ee.autoUpdate, G = ee.needsUpdate, O = ee.type; + xe(), je.autoReset = E, ee.enabled = U, ee.autoUpdate = B, ee.needsUpdate = G, ee.type = O; + } + function ie(E) { + console.error("THREE.WebGLRenderer: A WebGL context could not be created. Reason: ", E.statusMessage); + } + function le(E) { + const U = E.target; + U.removeEventListener("dispose", le), Ce(U); + } + function Ce(E) { + Te(E), be.remove(E); + } + function Te(E) { + const U = be.get(E).programs; + U !== void 0 && (U.forEach(function(B) { + me.releaseProgram(B); + }), E.isShaderMaterial && me.releaseShaderCache(E)); + } + this.renderBufferDirect = function(E, U, B, G, O, de) { + U === null && (U = ge); + const Se = O.isMesh && O.matrixWorld.determinant() < 0, Le = ko(E, U, B, G, O); + pe.setMaterial(G, Se); + let Ue = B.index, Ge = 1; + if (G.wireframe === !0) { + if (Ue = K.getWireframeAttribute(B), Ue === void 0) return; + Ge = 2; + } + const Ne = B.drawRange, Oe = B.attributes.position; + let it = Ne.start * Ge, St = (Ne.start + Ne.count) * Ge; + de !== null && (it = Math.max(it, de.start * Ge), St = Math.min(St, (de.start + de.count) * Ge)), Ue !== null ? (it = Math.max(it, 0), St = Math.min(St, Ue.count)) : Oe != null && (it = Math.max(it, 0), St = Math.min(St, Oe.count)); + const ct = St - it; + if (ct < 0 || ct === 1 / 0) return; + T.setup(O, G, Le, B, Ue); + let Vt, Je = De; + if (Ue !== null && (Vt = $.get(Ue), Je = Ee, Je.setIndex(Vt)), O.isMesh) + G.wireframe === !0 ? (pe.setLineWidth(G.wireframeLinewidth * Pe()), Je.setMode(N.LINES)) : Je.setMode(N.TRIANGLES); + else if (O.isLine) { + let He = G.linewidth; + He === void 0 && (He = 1), pe.setLineWidth(He * Pe()), O.isLineSegments ? Je.setMode(N.LINES) : O.isLineLoop ? Je.setMode(N.LINE_LOOP) : Je.setMode(N.LINE_STRIP); + } else O.isPoints ? Je.setMode(N.POINTS) : O.isSprite && Je.setMode(N.TRIANGLES); + if (O.isBatchedMesh) + Je.renderMultiDraw(O._multiDrawStarts, O._multiDrawCounts, O._multiDrawCount); + else if (O.isInstancedMesh) + Je.renderInstances(it, ct, O.count); + else if (B.isInstancedBufferGeometry) { + const He = B._maxInstanceCount !== void 0 ? B._maxInstanceCount : 1 / 0, lr = Math.min(B.instanceCount, He); + Je.renderInstances(it, ct, lr); + } else + Je.render(it, ct); + }; + function ke(E, U, B) { + E.transparent === !0 && E.side === Kt && E.forceSinglePass === !1 ? (E.side = Mt, E.needsUpdate = !0, Ei(E, U, B), E.side = un, E.needsUpdate = !0, Ei(E, U, B), E.side = Kt) : Ei(E, U, B); + } + this.compile = function(E, U, B = null) { + B === null && (B = E), f = ye.get(B), f.init(), b.push(f), B.traverseVisible(function(O) { + O.isLight && O.layers.test(U.layers) && (f.pushLight(O), O.castShadow && f.pushShadow(O)); + }), E !== B && E.traverseVisible(function(O) { + O.isLight && O.layers.test(U.layers) && (f.pushLight(O), O.castShadow && f.pushShadow(O)); + }), f.setupLights(S._useLegacyLights); + const G = /* @__PURE__ */ new Set(); + return E.traverse(function(O) { + const de = O.material; + if (de) + if (Array.isArray(de)) + for (let Se = 0; Se < de.length; Se++) { + const Le = de[Se]; + ke(Le, B, O), G.add(Le); + } + else + ke(de, B, O), G.add(de); + }), b.pop(), f = null, G; + }, this.compileAsync = function(E, U, B = null) { + const G = this.compile(E, U, B); + return new Promise((O) => { + function de() { + if (G.forEach(function(Se) { + be.get(Se).currentProgram.isReady() && G.delete(Se); + }), G.size === 0) { + O(E); + return; + } + setTimeout(de, 10); + } + Me.get("KHR_parallel_shader_compile") !== null ? de() : setTimeout(de, 10); + }); + }; + let We = null; + function et(E) { + We && We(E); + } + function nt() { + st.stop(); + } + function qe() { + st.start(); + } + const st = new Do(); + st.setAnimationLoop(et), typeof self < "u" && st.setContext(self), this.setAnimationLoop = function(E) { + We = E, fe.setAnimationLoop(E), E === null ? st.stop() : st.start(); + }, fe.addEventListener("sessionstart", nt), fe.addEventListener("sessionend", qe), this.render = function(E, U) { + if (U !== void 0 && U.isCamera !== !0) { + console.error("THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera."); + return; + } + if (R === !0) return; + E.matrixWorldAutoUpdate === !0 && E.updateMatrixWorld(), U.parent === null && U.matrixWorldAutoUpdate === !0 && U.updateMatrixWorld(), fe.enabled === !0 && fe.isPresenting === !0 && (fe.cameraAutoUpdate === !0 && fe.updateCamera(U), U = fe.getCamera()), E.isScene === !0 && E.onBeforeRender(S, E, U, A), f = ye.get(E, b.length), f.init(), b.push(f), _e.multiplyMatrices(U.projectionMatrix, U.matrixWorldInverse), H.setFromProjectionMatrix(_e), oe = this.localClippingEnabled, j = Fe.init(this.clippingPlanes, oe), v = he.get(E, u.length), v.init(), u.push(v), zt(E, U, 0, S.sortObjects), v.finish(), S.sortObjects === !0 && v.sort(X, k), this.info.render.frame++, j === !0 && Fe.beginShadows(); + const B = f.state.shadowsArray; + if (ee.render(B, E, U), j === !0 && Fe.endShadows(), this.info.autoReset === !0 && this.info.reset(), Ye.render(v, E), f.setupLights(S._useLegacyLights), U.isArrayCamera) { + const G = U.cameras; + for (let O = 0, de = G.length; O < de; O++) { + const Se = G[O]; + ps(v, E, Se, Se.viewport); + } + } else + ps(v, E, U); + A !== null && (M.updateMultisampleRenderTarget(A), M.updateRenderTargetMipmap(A)), E.isScene === !0 && E.onAfterRender(S, E, U), T.resetDefaultState(), W = -1, x = null, b.pop(), b.length > 0 ? f = b[b.length - 1] : f = null, u.pop(), u.length > 0 ? v = u[u.length - 1] : v = null; + }; + function zt(E, U, B, G) { + if (E.visible === !1) return; + if (E.layers.test(U.layers)) { + if (E.isGroup) + B = E.renderOrder; + else if (E.isLOD) + E.autoUpdate === !0 && E.update(U); + else if (E.isLight) + f.pushLight(E), E.castShadow && f.pushShadow(E); + else if (E.isSprite) { + if (!E.frustumCulled || H.intersectsSprite(E)) { + G && Ae.setFromMatrixPosition(E.matrixWorld).applyMatrix4(_e); + const Se = J.update(E), Le = E.material; + Le.visible && v.push(E, Se, Le, B, Ae.z, null); + } + } else if ((E.isMesh || E.isLine || E.isPoints) && (!E.frustumCulled || H.intersectsObject(E))) { + const Se = J.update(E), Le = E.material; + if (G && (E.boundingSphere !== void 0 ? (E.boundingSphere === null && E.computeBoundingSphere(), Ae.copy(E.boundingSphere.center)) : (Se.boundingSphere === null && Se.computeBoundingSphere(), Ae.copy(Se.boundingSphere.center)), Ae.applyMatrix4(E.matrixWorld).applyMatrix4(_e)), Array.isArray(Le)) { + const Ue = Se.groups; + for (let Ge = 0, Ne = Ue.length; Ge < Ne; Ge++) { + const Oe = Ue[Ge], it = Le[Oe.materialIndex]; + it && it.visible && v.push(E, Se, it, B, Ae.z, Oe); + } + } else Le.visible && v.push(E, Se, Le, B, Ae.z, null); + } + } + const de = E.children; + for (let Se = 0, Le = de.length; Se < Le; Se++) + zt(de[Se], U, B, G); + } + function ps(E, U, B, G) { + const O = E.opaque, de = E.transmissive, Se = E.transparent; + f.setupLightsView(B), j === !0 && Fe.setGlobalState(S.clippingPlanes, B), de.length > 0 && Vo(O, de, U, B), G && pe.viewport(y.copy(G)), O.length > 0 && Si(O, U, B), de.length > 0 && Si(de, U, B), Se.length > 0 && Si(Se, U, B), pe.buffers.depth.setTest(!0), pe.buffers.depth.setMask(!0), pe.buffers.color.setMask(!0), pe.setPolygonOffset(!1); + } + function Vo(E, U, B, G) { + if ((B.isScene === !0 ? B.overrideMaterial : null) !== null) + return; + const de = Re.isWebGL2; + ve === null && (ve = new bn(1, 1, { + generateMipmaps: !0, + type: Me.has("EXT_color_buffer_half_float") ? gi : cn, + minFilter: _i, + samples: de ? 4 : 0 + })), S.getDrawingBufferSize(we), de ? ve.setSize(we.x, we.y) : ve.setSize(is(we.x), is(we.y)); + const Se = S.getRenderTarget(); + S.setRenderTarget(ve), S.getClearColor(re), L = S.getClearAlpha(), L < 1 && S.setClearColor(16777215, 0.5), S.clear(); + const Le = S.toneMapping; + S.toneMapping = ln, Si(E, B, G), M.updateMultisampleRenderTarget(ve), M.updateRenderTargetMipmap(ve); + let Ue = !1; + for (let Ge = 0, Ne = U.length; Ge < Ne; Ge++) { + const Oe = U[Ge], it = Oe.object, St = Oe.geometry, ct = Oe.material, Vt = Oe.group; + if (ct.side === Kt && it.layers.test(G.layers)) { + const Je = ct.side; + ct.side = Mt, ct.needsUpdate = !0, ms(it, B, G, St, ct, Vt), ct.side = Je, ct.needsUpdate = !0, Ue = !0; + } + } + Ue === !0 && (M.updateMultisampleRenderTarget(ve), M.updateRenderTargetMipmap(ve)), S.setRenderTarget(Se), S.setClearColor(re, L), S.toneMapping = Le; + } + function Si(E, U, B) { + const G = U.isScene === !0 ? U.overrideMaterial : null; + for (let O = 0, de = E.length; O < de; O++) { + const Se = E[O], Le = Se.object, Ue = Se.geometry, Ge = G === null ? Se.material : G, Ne = Se.group; + Le.layers.test(B.layers) && ms(Le, U, B, Ue, Ge, Ne); + } + } + function ms(E, U, B, G, O, de) { + E.onBeforeRender(S, U, B, G, O, de), E.modelViewMatrix.multiplyMatrices(B.matrixWorldInverse, E.matrixWorld), E.normalMatrix.getNormalMatrix(E.modelViewMatrix), O.onBeforeRender(S, U, B, G, E, de), O.transparent === !0 && O.side === Kt && O.forceSinglePass === !1 ? (O.side = Mt, O.needsUpdate = !0, S.renderBufferDirect(B, U, G, O, E, de), O.side = un, O.needsUpdate = !0, S.renderBufferDirect(B, U, G, O, E, de), O.side = Kt) : S.renderBufferDirect(B, U, G, O, E, de), E.onAfterRender(S, U, B, G, O, de); + } + function Ei(E, U, B) { + U.isScene !== !0 && (U = ge); + const G = be.get(E), O = f.state.lights, de = f.state.shadowsArray, Se = O.state.version, Le = me.getParameters(E, O.state, de, U, B), Ue = me.getProgramCacheKey(Le); + let Ge = G.programs; + G.environment = E.isMeshStandardMaterial ? U.environment : null, G.fog = U.fog, G.envMap = (E.isMeshStandardMaterial ? I : _).get(E.envMap || G.environment), Ge === void 0 && (E.addEventListener("dispose", le), Ge = /* @__PURE__ */ new Map(), G.programs = Ge); + let Ne = Ge.get(Ue); + if (Ne !== void 0) { + if (G.currentProgram === Ne && G.lightsStateVersion === Se) + return gs(E, Le), Ne; + } else + Le.uniforms = me.getUniforms(E), E.onBuild(B, Le, S), E.onBeforeCompile(Le, S), Ne = me.acquireProgram(Le, Ue), Ge.set(Ue, Ne), G.uniforms = Le.uniforms; + const Oe = G.uniforms; + return (!E.isShaderMaterial && !E.isRawShaderMaterial || E.clipping === !0) && (Oe.clippingPlanes = Fe.uniform), gs(E, Le), G.needsLights = Xo(E), G.lightsStateVersion = Se, G.needsLights && (Oe.ambientLightColor.value = O.state.ambient, Oe.lightProbe.value = O.state.probe, Oe.directionalLights.value = O.state.directional, Oe.directionalLightShadows.value = O.state.directionalShadow, Oe.spotLights.value = O.state.spot, Oe.spotLightShadows.value = O.state.spotShadow, Oe.rectAreaLights.value = O.state.rectArea, Oe.ltc_1.value = O.state.rectAreaLTC1, Oe.ltc_2.value = O.state.rectAreaLTC2, Oe.pointLights.value = O.state.point, Oe.pointLightShadows.value = O.state.pointShadow, Oe.hemisphereLights.value = O.state.hemi, Oe.directionalShadowMap.value = O.state.directionalShadowMap, Oe.directionalShadowMatrix.value = O.state.directionalShadowMatrix, Oe.spotShadowMap.value = O.state.spotShadowMap, Oe.spotLightMatrix.value = O.state.spotLightMatrix, Oe.spotLightMap.value = O.state.spotLightMap, Oe.pointShadowMap.value = O.state.pointShadowMap, Oe.pointShadowMatrix.value = O.state.pointShadowMatrix), G.currentProgram = Ne, G.uniformsList = null, Ne; + } + function _s(E) { + if (E.uniformsList === null) { + const U = E.currentProgram.getUniforms(); + E.uniformsList = Zi.seqWithValue(U.seq, E.uniforms); + } + return E.uniformsList; + } + function gs(E, U) { + const B = be.get(E); + B.outputColorSpace = U.outputColorSpace, B.batching = U.batching, B.instancing = U.instancing, B.instancingColor = U.instancingColor, B.skinning = U.skinning, B.morphTargets = U.morphTargets, B.morphNormals = U.morphNormals, B.morphColors = U.morphColors, B.morphTargetsCount = U.morphTargetsCount, B.numClippingPlanes = U.numClippingPlanes, B.numIntersection = U.numClipIntersection, B.vertexAlphas = U.vertexAlphas, B.vertexTangents = U.vertexTangents, B.toneMapping = U.toneMapping; + } + function ko(E, U, B, G, O) { + U.isScene !== !0 && (U = ge), M.resetTextureUnits(); + const de = U.fog, Se = G.isMeshStandardMaterial ? U.environment : null, Le = A === null ? S.outputColorSpace : A.isXRRenderTarget === !0 ? A.texture.colorSpace : $t, Ue = (G.isMeshStandardMaterial ? I : _).get(G.envMap || Se), Ge = G.vertexColors === !0 && !!B.attributes.color && B.attributes.color.itemSize === 4, Ne = !!B.attributes.tangent && (!!G.normalMap || G.anisotropy > 0), Oe = !!B.morphAttributes.position, it = !!B.morphAttributes.normal, St = !!B.morphAttributes.color; + let ct = ln; + G.toneMapped && (A === null || A.isXRRenderTarget === !0) && (ct = S.toneMapping); + const Vt = B.morphAttributes.position || B.morphAttributes.normal || B.morphAttributes.color, Je = Vt !== void 0 ? Vt.length : 0, He = be.get(G), lr = f.state.lights; + if (j === !0 && (oe === !0 || E !== x)) { + const At = E === x && G.id === W; + Fe.setState(G, E, At); + } + let tt = !1; + G.version === He.__version ? (He.needsLights && He.lightsStateVersion !== lr.state.version || He.outputColorSpace !== Le || O.isBatchedMesh && He.batching === !1 || !O.isBatchedMesh && He.batching === !0 || O.isInstancedMesh && He.instancing === !1 || !O.isInstancedMesh && He.instancing === !0 || O.isSkinnedMesh && He.skinning === !1 || !O.isSkinnedMesh && He.skinning === !0 || O.isInstancedMesh && He.instancingColor === !0 && O.instanceColor === null || O.isInstancedMesh && He.instancingColor === !1 && O.instanceColor !== null || He.envMap !== Ue || G.fog === !0 && He.fog !== de || He.numClippingPlanes !== void 0 && (He.numClippingPlanes !== Fe.numPlanes || He.numIntersection !== Fe.numIntersection) || He.vertexAlphas !== Ge || He.vertexTangents !== Ne || He.morphTargets !== Oe || He.morphNormals !== it || He.morphColors !== St || He.toneMapping !== ct || Re.isWebGL2 === !0 && He.morphTargetsCount !== Je) && (tt = !0) : (tt = !0, He.__version = G.version); + let dn = He.currentProgram; + tt === !0 && (dn = Ei(G, U, O)); + let vs = !1, si = !1, cr = !1; + const ft = dn.getUniforms(), fn = He.uniforms; + if (pe.useProgram(dn.program) && (vs = !0, si = !0, cr = !0), G.id !== W && (W = G.id, si = !0), vs || x !== E) { + ft.setValue(N, "projectionMatrix", E.projectionMatrix), ft.setValue(N, "viewMatrix", E.matrixWorldInverse); + const At = ft.map.cameraPosition; + At !== void 0 && At.setValue(N, Ae.setFromMatrixPosition(E.matrixWorld)), Re.logarithmicDepthBuffer && ft.setValue( + N, + "logDepthBufFC", + 2 / (Math.log(E.far + 1) / Math.LN2) + ), (G.isMeshPhongMaterial || G.isMeshToonMaterial || G.isMeshLambertMaterial || G.isMeshBasicMaterial || G.isMeshStandardMaterial || G.isShaderMaterial) && ft.setValue(N, "isOrthographic", E.isOrthographicCamera === !0), x !== E && (x = E, si = !0, cr = !0); + } + if (O.isSkinnedMesh) { + ft.setOptional(N, O, "bindMatrix"), ft.setOptional(N, O, "bindMatrixInverse"); + const At = O.skeleton; + At && (Re.floatVertexTextures ? (At.boneTexture === null && At.computeBoneTexture(), ft.setValue(N, "boneTexture", At.boneTexture, M)) : console.warn("THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required.")); + } + O.isBatchedMesh && (ft.setOptional(N, O, "batchingTexture"), ft.setValue(N, "batchingTexture", O._matricesTexture, M)); + const ur = B.morphAttributes; + if ((ur.position !== void 0 || ur.normal !== void 0 || ur.color !== void 0 && Re.isWebGL2 === !0) && ze.update(O, B, dn), (si || He.receiveShadow !== O.receiveShadow) && (He.receiveShadow = O.receiveShadow, ft.setValue(N, "receiveShadow", O.receiveShadow)), G.isMeshGouraudMaterial && G.envMap !== null && (fn.envMap.value = Ue, fn.flipEnvMap.value = Ue.isCubeTexture && Ue.isRenderTargetTexture === !1 ? -1 : 1), si && (ft.setValue(N, "toneMappingExposure", S.toneMappingExposure), He.needsLights && Wo(fn, cr), de && G.fog === !0 && ae.refreshFogUniforms(fn, de), ae.refreshMaterialUniforms(fn, G, Y, V, ve), Zi.upload(N, _s(He), fn, M)), G.isShaderMaterial && G.uniformsNeedUpdate === !0 && (Zi.upload(N, _s(He), fn, M), G.uniformsNeedUpdate = !1), G.isSpriteMaterial && ft.setValue(N, "center", O.center), ft.setValue(N, "modelViewMatrix", O.modelViewMatrix), ft.setValue(N, "normalMatrix", O.normalMatrix), ft.setValue(N, "modelMatrix", O.matrixWorld), G.isShaderMaterial || G.isRawShaderMaterial) { + const At = G.uniformsGroups; + for (let hr = 0, qo = At.length; hr < qo; hr++) + if (Re.isWebGL2) { + const xs = At[hr]; + ne.update(xs, dn), ne.bind(xs, dn); + } else + console.warn("THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2."); + } + return dn; + } + function Wo(E, U) { + E.ambientLightColor.needsUpdate = U, E.lightProbe.needsUpdate = U, E.directionalLights.needsUpdate = U, E.directionalLightShadows.needsUpdate = U, E.pointLights.needsUpdate = U, E.pointLightShadows.needsUpdate = U, E.spotLights.needsUpdate = U, E.spotLightShadows.needsUpdate = U, E.rectAreaLights.needsUpdate = U, E.hemisphereLights.needsUpdate = U; + } + function Xo(E) { + return E.isMeshLambertMaterial || E.isMeshToonMaterial || E.isMeshPhongMaterial || E.isMeshStandardMaterial || E.isShadowMaterial || E.isShaderMaterial && E.lights === !0; + } + this.getActiveCubeFace = function() { + return D; + }, this.getActiveMipmapLevel = function() { + return C; + }, this.getRenderTarget = function() { + return A; + }, this.setRenderTargetTextures = function(E, U, B) { + be.get(E.texture).__webglTexture = U, be.get(E.depthTexture).__webglTexture = B; + const G = be.get(E); + G.__hasExternalTextures = !0, G.__hasExternalTextures && (G.__autoAllocateDepthBuffer = B === void 0, G.__autoAllocateDepthBuffer || Me.has("WEBGL_multisampled_render_to_texture") === !0 && (console.warn("THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided"), G.__useRenderToTexture = !1)); + }, this.setRenderTargetFramebuffer = function(E, U) { + const B = be.get(E); + B.__webglFramebuffer = U, B.__useDefaultFramebuffer = U === void 0; + }, this.setRenderTarget = function(E, U = 0, B = 0) { + A = E, D = U, C = B; + let G = !0, O = null, de = !1, Se = !1; + if (E) { + const Ue = be.get(E); + Ue.__useDefaultFramebuffer !== void 0 ? (pe.bindFramebuffer(N.FRAMEBUFFER, null), G = !1) : Ue.__webglFramebuffer === void 0 ? M.setupRenderTarget(E) : Ue.__hasExternalTextures && M.rebindTextures(E, be.get(E.texture).__webglTexture, be.get(E.depthTexture).__webglTexture); + const Ge = E.texture; + (Ge.isData3DTexture || Ge.isDataArrayTexture || Ge.isCompressedArrayTexture) && (Se = !0); + const Ne = be.get(E).__webglFramebuffer; + E.isWebGLCubeRenderTarget ? (Array.isArray(Ne[U]) ? O = Ne[U][B] : O = Ne[U], de = !0) : Re.isWebGL2 && E.samples > 0 && M.useMultisampledRTT(E) === !1 ? O = be.get(E).__webglMultisampledFramebuffer : Array.isArray(Ne) ? O = Ne[B] : O = Ne, y.copy(E.viewport), z.copy(E.scissor), Z = E.scissorTest; + } else + y.copy(q).multiplyScalar(Y).floor(), z.copy(Q).multiplyScalar(Y).floor(), Z = ce; + if (pe.bindFramebuffer(N.FRAMEBUFFER, O) && Re.drawBuffers && G && pe.drawBuffers(E, O), pe.viewport(y), pe.scissor(z), pe.setScissorTest(Z), de) { + const Ue = be.get(E.texture); + N.framebufferTexture2D(N.FRAMEBUFFER, N.COLOR_ATTACHMENT0, N.TEXTURE_CUBE_MAP_POSITIVE_X + U, Ue.__webglTexture, B); + } else if (Se) { + const Ue = be.get(E.texture), Ge = U || 0; + N.framebufferTextureLayer(N.FRAMEBUFFER, N.COLOR_ATTACHMENT0, Ue.__webglTexture, B || 0, Ge); + } + W = -1; + }, this.readRenderTargetPixels = function(E, U, B, G, O, de, Se) { + if (!(E && E.isWebGLRenderTarget)) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget."); + return; + } + let Le = be.get(E).__webglFramebuffer; + if (E.isWebGLCubeRenderTarget && Se !== void 0 && (Le = Le[Se]), Le) { + pe.bindFramebuffer(N.FRAMEBUFFER, Le); + try { + const Ue = E.texture, Ge = Ue.format, Ne = Ue.type; + if (Ge !== Ft && ue.convert(Ge) !== N.getParameter(N.IMPLEMENTATION_COLOR_READ_FORMAT)) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format."); + return; + } + const Oe = Ne === gi && (Me.has("EXT_color_buffer_half_float") || Re.isWebGL2 && Me.has("EXT_color_buffer_float")); + if (Ne !== cn && ue.convert(Ne) !== N.getParameter(N.IMPLEMENTATION_COLOR_READ_TYPE) && // Edge and Chrome Mac < 52 (#9513) + !(Ne === an && (Re.isWebGL2 || Me.has("OES_texture_float") || Me.has("WEBGL_color_buffer_float"))) && // Chrome Mac >= 52 and Firefox + !Oe) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type."); + return; + } + U >= 0 && U <= E.width - G && B >= 0 && B <= E.height - O && N.readPixels(U, B, G, O, ue.convert(Ge), ue.convert(Ne), de); + } finally { + const Ue = A !== null ? be.get(A).__webglFramebuffer : null; + pe.bindFramebuffer(N.FRAMEBUFFER, Ue); + } + } + }, this.copyFramebufferToTexture = function(E, U, B = 0) { + const G = Math.pow(2, -B), O = Math.floor(U.image.width * G), de = Math.floor(U.image.height * G); + M.setTexture2D(U, 0), N.copyTexSubImage2D(N.TEXTURE_2D, B, 0, 0, E.x, E.y, O, de), pe.unbindTexture(); + }, this.copyTextureToTexture = function(E, U, B, G = 0) { + const O = U.image.width, de = U.image.height, Se = ue.convert(B.format), Le = ue.convert(B.type); + M.setTexture2D(B, 0), N.pixelStorei(N.UNPACK_FLIP_Y_WEBGL, B.flipY), N.pixelStorei(N.UNPACK_PREMULTIPLY_ALPHA_WEBGL, B.premultiplyAlpha), N.pixelStorei(N.UNPACK_ALIGNMENT, B.unpackAlignment), U.isDataTexture ? N.texSubImage2D(N.TEXTURE_2D, G, E.x, E.y, O, de, Se, Le, U.image.data) : U.isCompressedTexture ? N.compressedTexSubImage2D(N.TEXTURE_2D, G, E.x, E.y, U.mipmaps[0].width, U.mipmaps[0].height, Se, U.mipmaps[0].data) : N.texSubImage2D(N.TEXTURE_2D, G, E.x, E.y, Se, Le, U.image), G === 0 && B.generateMipmaps && N.generateMipmap(N.TEXTURE_2D), pe.unbindTexture(); + }, this.copyTextureToTexture3D = function(E, U, B, G, O = 0) { + if (S.isWebGL1Renderer) { + console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2."); + return; + } + const de = E.max.x - E.min.x + 1, Se = E.max.y - E.min.y + 1, Le = E.max.z - E.min.z + 1, Ue = ue.convert(G.format), Ge = ue.convert(G.type); + let Ne; + if (G.isData3DTexture) + M.setTexture3D(G, 0), Ne = N.TEXTURE_3D; + else if (G.isDataArrayTexture || G.isCompressedArrayTexture) + M.setTexture2DArray(G, 0), Ne = N.TEXTURE_2D_ARRAY; + else { + console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray."); + return; + } + N.pixelStorei(N.UNPACK_FLIP_Y_WEBGL, G.flipY), N.pixelStorei(N.UNPACK_PREMULTIPLY_ALPHA_WEBGL, G.premultiplyAlpha), N.pixelStorei(N.UNPACK_ALIGNMENT, G.unpackAlignment); + const Oe = N.getParameter(N.UNPACK_ROW_LENGTH), it = N.getParameter(N.UNPACK_IMAGE_HEIGHT), St = N.getParameter(N.UNPACK_SKIP_PIXELS), ct = N.getParameter(N.UNPACK_SKIP_ROWS), Vt = N.getParameter(N.UNPACK_SKIP_IMAGES), Je = B.isCompressedTexture ? B.mipmaps[O] : B.image; + N.pixelStorei(N.UNPACK_ROW_LENGTH, Je.width), N.pixelStorei(N.UNPACK_IMAGE_HEIGHT, Je.height), N.pixelStorei(N.UNPACK_SKIP_PIXELS, E.min.x), N.pixelStorei(N.UNPACK_SKIP_ROWS, E.min.y), N.pixelStorei(N.UNPACK_SKIP_IMAGES, E.min.z), B.isDataTexture || B.isData3DTexture ? N.texSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Ge, Je.data) : B.isCompressedArrayTexture ? (console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture."), N.compressedTexSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Je.data)) : N.texSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Ge, Je), N.pixelStorei(N.UNPACK_ROW_LENGTH, Oe), N.pixelStorei(N.UNPACK_IMAGE_HEIGHT, it), N.pixelStorei(N.UNPACK_SKIP_PIXELS, St), N.pixelStorei(N.UNPACK_SKIP_ROWS, ct), N.pixelStorei(N.UNPACK_SKIP_IMAGES, Vt), O === 0 && G.generateMipmaps && N.generateMipmap(Ne), pe.unbindTexture(); + }, this.initTexture = function(E) { + E.isCubeTexture ? M.setTextureCube(E, 0) : E.isData3DTexture ? M.setTexture3D(E, 0) : E.isDataArrayTexture || E.isCompressedArrayTexture ? M.setTexture2DArray(E, 0) : M.setTexture2D(E, 0), pe.unbindTexture(); + }, this.resetState = function() { + D = 0, C = 0, A = null, pe.reset(), T.reset(); + }, typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe", { detail: this })); + } + get coordinateSystem() { + return Zt; + } + get outputColorSpace() { + return this._outputColorSpace; + } + set outputColorSpace(e) { + this._outputColorSpace = e; + const t = this.getContext(); + t.drawingBufferColorSpace = e === os ? "display-p3" : "srgb", t.unpackColorSpace = Ke.workingColorSpace === sr ? "display-p3" : "srgb"; + } + get outputEncoding() { + return console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."), this.outputColorSpace === ht ? Tn : go; + } + set outputEncoding(e) { + console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."), this.outputColorSpace = e === Tn ? ht : $t; + } + get useLegacyLights() { + return console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."), this._useLegacyLights; + } + set useLegacyLights(e) { + console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."), this._useLegacyLights = e; + } +} +class Qf extends Go { +} +Qf.prototype.isWebGL1Renderer = !0; +class ir { + constructor(e, t = 25e-5) { + this.isFogExp2 = !0, this.name = "", this.color = new Xe(e), this.density = t; + } + clone() { + return new ir(this.color, this.density); + } + toJSON() { + return { + type: "FogExp2", + name: this.name, + color: this.color.getHex(), + density: this.density + }; + } +} +class Ha extends dt { + constructor() { + super(), this.isScene = !0, this.type = "Scene", this.background = null, this.environment = null, this.fog = null, this.backgroundBlurriness = 0, this.backgroundIntensity = 1, this.overrideMaterial = null, typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe", { detail: this })); + } + copy(e, t) { + return super.copy(e, t), e.background !== null && (this.background = e.background.clone()), e.environment !== null && (this.environment = e.environment.clone()), e.fog !== null && (this.fog = e.fog.clone()), this.backgroundBlurriness = e.backgroundBlurriness, this.backgroundIntensity = e.backgroundIntensity, e.overrideMaterial !== null && (this.overrideMaterial = e.overrideMaterial.clone()), this.matrixAutoUpdate = e.matrixAutoUpdate, this; + } + toJSON(e) { + const t = super.toJSON(e); + return this.fog !== null && (t.object.fog = this.fog.toJSON()), this.backgroundBlurriness > 0 && (t.object.backgroundBlurriness = this.backgroundBlurriness), this.backgroundIntensity !== 1 && (t.object.backgroundIntensity = this.backgroundIntensity), t; + } +} +class Va extends Bt { + constructor(e, t, n, r = 1) { + super(e, t, n), this.isInstancedBufferAttribute = !0, this.meshPerAttribute = r; + } + copy(e) { + return super.copy(e), this.meshPerAttribute = e.meshPerAttribute, this; + } + toJSON() { + const e = super.toJSON(); + return e.meshPerAttribute = this.meshPerAttribute, e.isInstancedBufferAttribute = !0, e; + } +} +const jn = /* @__PURE__ */ new Qe(), ka = /* @__PURE__ */ new Qe(), Yi = [], Wa = /* @__PURE__ */ new Cn(), ep = /* @__PURE__ */ new Qe(), di = /* @__PURE__ */ new Ot(), fi = /* @__PURE__ */ new xi(); +class Xa extends Ot { + constructor(e, t, n) { + super(e, t), this.isInstancedMesh = !0, this.instanceMatrix = new Va(new Float32Array(n * 16), 16), this.instanceColor = null, this.count = n, this.boundingBox = null, this.boundingSphere = null; + for (let r = 0; r < n; r++) + this.setMatrixAt(r, ep); + } + computeBoundingBox() { + const e = this.geometry, t = this.count; + this.boundingBox === null && (this.boundingBox = new Cn()), e.boundingBox === null && e.computeBoundingBox(), this.boundingBox.makeEmpty(); + for (let n = 0; n < t; n++) + this.getMatrixAt(n, jn), Wa.copy(e.boundingBox).applyMatrix4(jn), this.boundingBox.union(Wa); + } + computeBoundingSphere() { + const e = this.geometry, t = this.count; + this.boundingSphere === null && (this.boundingSphere = new xi()), e.boundingSphere === null && e.computeBoundingSphere(), this.boundingSphere.makeEmpty(); + for (let n = 0; n < t; n++) + this.getMatrixAt(n, jn), fi.copy(e.boundingSphere).applyMatrix4(jn), this.boundingSphere.union(fi); + } + copy(e, t) { + return super.copy(e, t), this.instanceMatrix.copy(e.instanceMatrix), e.instanceColor !== null && (this.instanceColor = e.instanceColor.clone()), this.count = e.count, e.boundingBox !== null && (this.boundingBox = e.boundingBox.clone()), e.boundingSphere !== null && (this.boundingSphere = e.boundingSphere.clone()), this; + } + getColorAt(e, t) { + t.fromArray(this.instanceColor.array, e * 3); + } + getMatrixAt(e, t) { + t.fromArray(this.instanceMatrix.array, e * 16); + } + raycast(e, t) { + const n = this.matrixWorld, r = this.count; + if (di.geometry = this.geometry, di.material = this.material, di.material !== void 0 && (this.boundingSphere === null && this.computeBoundingSphere(), fi.copy(this.boundingSphere), fi.applyMatrix4(n), e.ray.intersectsSphere(fi) !== !1)) + for (let s = 0; s < r; s++) { + this.getMatrixAt(s, jn), ka.multiplyMatrices(n, jn), di.matrixWorld = ka, di.raycast(e, Yi); + for (let o = 0, a = Yi.length; o < a; o++) { + const l = Yi[o]; + l.instanceId = s, l.object = this, t.push(l); + } + Yi.length = 0; + } + } + setColorAt(e, t) { + this.instanceColor === null && (this.instanceColor = new Va(new Float32Array(this.instanceMatrix.count * 3), 3)), t.toArray(this.instanceColor.array, e * 3); + } + setMatrixAt(e, t) { + t.toArray(this.instanceMatrix.array, e * 16); + } + updateMorphTargets() { + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +class ds extends hn { + constructor(e = 1, t = 0.4, n = 12, r = 48, s = Math.PI * 2) { + super(), this.type = "TorusGeometry", this.parameters = { + radius: e, + tube: t, + radialSegments: n, + tubularSegments: r, + arc: s + }, n = Math.floor(n), r = Math.floor(r); + const o = [], a = [], l = [], c = [], h = new P(), d = new P(), p = new P(); + for (let m = 0; m <= n; m++) + for (let g = 0; g <= r; g++) { + const v = g / r * s, f = m / n * Math.PI * 2; + d.x = (e + t * Math.cos(f)) * Math.cos(v), d.y = (e + t * Math.cos(f)) * Math.sin(v), d.z = t * Math.sin(f), a.push(d.x, d.y, d.z), h.x = e * Math.cos(v), h.y = e * Math.sin(v), p.subVectors(d, h).normalize(), l.push(p.x, p.y, p.z), c.push(g / r), c.push(m / n); + } + for (let m = 1; m <= n; m++) + for (let g = 1; g <= r; g++) { + const v = (r + 1) * m + g - 1, f = (r + 1) * (m - 1) + g - 1, u = (r + 1) * (m - 1) + g, b = (r + 1) * m + g; + o.push(v, f, b), o.push(f, u, b); + } + this.setIndex(o), this.setAttribute("position", new Ht(a, 3)), this.setAttribute("normal", new Ht(l, 3)), this.setAttribute("uv", new Ht(c, 2)); + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new ds(e.radius, e.tube, e.radialSegments, e.tubularSegments, e.arc); + } +} +class qa extends Mi { + constructor(e) { + super(), this.isMeshStandardMaterial = !0, this.defines = { STANDARD: "" }, this.type = "MeshStandardMaterial", this.color = new Xe(16777215), this.roughness = 1, this.metalness = 0, this.map = null, this.lightMap = null, this.lightMapIntensity = 1, this.aoMap = null, this.aoMapIntensity = 1, this.emissive = new Xe(0), this.emissiveIntensity = 1, this.emissiveMap = null, this.bumpMap = null, this.bumpScale = 1, this.normalMap = null, this.normalMapType = vo, this.normalScale = new Ie(1, 1), this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.roughnessMap = null, this.metalnessMap = null, this.alphaMap = null, this.envMap = null, this.envMapIntensity = 1, this.wireframe = !1, this.wireframeLinewidth = 1, this.wireframeLinecap = "round", this.wireframeLinejoin = "round", this.flatShading = !1, this.fog = !0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.defines = { STANDARD: "" }, this.color.copy(e.color), this.roughness = e.roughness, this.metalness = e.metalness, this.map = e.map, this.lightMap = e.lightMap, this.lightMapIntensity = e.lightMapIntensity, this.aoMap = e.aoMap, this.aoMapIntensity = e.aoMapIntensity, this.emissive.copy(e.emissive), this.emissiveMap = e.emissiveMap, this.emissiveIntensity = e.emissiveIntensity, this.bumpMap = e.bumpMap, this.bumpScale = e.bumpScale, this.normalMap = e.normalMap, this.normalMapType = e.normalMapType, this.normalScale.copy(e.normalScale), this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this.roughnessMap = e.roughnessMap, this.metalnessMap = e.metalnessMap, this.alphaMap = e.alphaMap, this.envMap = e.envMap, this.envMapIntensity = e.envMapIntensity, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.wireframeLinecap = e.wireframeLinecap, this.wireframeLinejoin = e.wireframeLinejoin, this.flatShading = e.flatShading, this.fog = e.fog, this; + } +} +class fs extends dt { + constructor(e, t = 1) { + super(), this.isLight = !0, this.type = "Light", this.color = new Xe(e), this.intensity = t; + } + dispose() { + } + copy(e, t) { + return super.copy(e, t), this.color.copy(e.color), this.intensity = e.intensity, this; + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.color = this.color.getHex(), t.object.intensity = this.intensity, this.groundColor !== void 0 && (t.object.groundColor = this.groundColor.getHex()), this.distance !== void 0 && (t.object.distance = this.distance), this.angle !== void 0 && (t.object.angle = this.angle), this.decay !== void 0 && (t.object.decay = this.decay), this.penumbra !== void 0 && (t.object.penumbra = this.penumbra), this.shadow !== void 0 && (t.object.shadow = this.shadow.toJSON()), t; + } +} +const Wr = /* @__PURE__ */ new Qe(), Ya = /* @__PURE__ */ new P(), ja = /* @__PURE__ */ new P(); +class Ho { + constructor(e) { + this.camera = e, this.bias = 0, this.normalBias = 0, this.radius = 1, this.blurSamples = 8, this.mapSize = new Ie(512, 512), this.map = null, this.mapPass = null, this.matrix = new Qe(), this.autoUpdate = !0, this.needsUpdate = !1, this._frustum = new cs(), this._frameExtents = new Ie(1, 1), this._viewportCount = 1, this._viewports = [ + new $e(0, 0, 1, 1) + ]; + } + getViewportCount() { + return this._viewportCount; + } + getFrustum() { + return this._frustum; + } + updateMatrices(e) { + const t = this.camera, n = this.matrix; + Ya.setFromMatrixPosition(e.matrixWorld), t.position.copy(Ya), ja.setFromMatrixPosition(e.target.matrixWorld), t.lookAt(ja), t.updateMatrixWorld(), Wr.multiplyMatrices(t.projectionMatrix, t.matrixWorldInverse), this._frustum.setFromProjectionMatrix(Wr), n.set( + 0.5, + 0, + 0, + 0.5, + 0, + 0.5, + 0, + 0.5, + 0, + 0, + 0.5, + 0.5, + 0, + 0, + 0, + 1 + ), n.multiply(Wr); + } + getViewport(e) { + return this._viewports[e]; + } + getFrameExtents() { + return this._frameExtents; + } + dispose() { + this.map && this.map.dispose(), this.mapPass && this.mapPass.dispose(); + } + copy(e) { + return this.camera = e.camera.clone(), this.bias = e.bias, this.radius = e.radius, this.mapSize.copy(e.mapSize), this; + } + clone() { + return new this.constructor().copy(this); + } + toJSON() { + const e = {}; + return this.bias !== 0 && (e.bias = this.bias), this.normalBias !== 0 && (e.normalBias = this.normalBias), this.radius !== 1 && (e.radius = this.radius), (this.mapSize.x !== 512 || this.mapSize.y !== 512) && (e.mapSize = this.mapSize.toArray()), e.camera = this.camera.toJSON(!1).object, delete e.camera.matrix, e; + } +} +const Ka = /* @__PURE__ */ new Qe(), pi = /* @__PURE__ */ new P(), Xr = /* @__PURE__ */ new P(); +class tp extends Ho { + constructor() { + super(new Tt(90, 1, 0.5, 500)), this.isPointLightShadow = !0, this._frameExtents = new Ie(4, 2), this._viewportCount = 6, this._viewports = [ + // These viewports map a cube-map onto a 2D texture with the + // following orientation: + // + // xzXZ + // y Y + // + // X - Positive x direction + // x - Negative x direction + // Y - Positive y direction + // y - Negative y direction + // Z - Positive z direction + // z - Negative z direction + // positive X + new $e(2, 1, 1, 1), + // negative X + new $e(0, 1, 1, 1), + // positive Z + new $e(3, 1, 1, 1), + // negative Z + new $e(1, 1, 1, 1), + // positive Y + new $e(3, 0, 1, 1), + // negative Y + new $e(1, 0, 1, 1) + ], this._cubeDirections = [ + new P(1, 0, 0), + new P(-1, 0, 0), + new P(0, 0, 1), + new P(0, 0, -1), + new P(0, 1, 0), + new P(0, -1, 0) + ], this._cubeUps = [ + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 0, 1), + new P(0, 0, -1) + ]; + } + updateMatrices(e, t = 0) { + const n = this.camera, r = this.matrix, s = e.distance || n.far; + s !== n.far && (n.far = s, n.updateProjectionMatrix()), pi.setFromMatrixPosition(e.matrixWorld), n.position.copy(pi), Xr.copy(n.position), Xr.add(this._cubeDirections[t]), n.up.copy(this._cubeUps[t]), n.lookAt(Xr), n.updateMatrixWorld(), r.makeTranslation(-pi.x, -pi.y, -pi.z), Ka.multiplyMatrices(n.projectionMatrix, n.matrixWorldInverse), this._frustum.setFromProjectionMatrix(Ka); + } +} +class Za extends fs { + constructor(e, t, n = 0, r = 2) { + super(e, t), this.isPointLight = !0, this.type = "PointLight", this.distance = n, this.decay = r, this.shadow = new tp(); + } + get power() { + return this.intensity * 4 * Math.PI; + } + set power(e) { + this.intensity = e / (4 * Math.PI); + } + dispose() { + this.shadow.dispose(); + } + copy(e, t) { + return super.copy(e, t), this.distance = e.distance, this.decay = e.decay, this.shadow = e.shadow.clone(), this; + } +} +class np extends Ho { + constructor() { + super(new Uo(-5, 5, 5, -5, 0.5, 500)), this.isDirectionalLightShadow = !0; + } +} +class ip extends fs { + constructor(e, t) { + super(e, t), this.isDirectionalLight = !0, this.type = "DirectionalLight", this.position.copy(dt.DEFAULT_UP), this.updateMatrix(), this.target = new dt(), this.shadow = new np(); + } + dispose() { + this.shadow.dispose(); + } + copy(e) { + return super.copy(e), this.target = e.target.clone(), this.shadow = e.shadow.clone(), this; + } +} +class rp extends fs { + constructor(e, t) { + super(e, t), this.isAmbientLight = !0, this.type = "AmbientLight"; + } +} +class $a { + constructor(e = 1, t = 0, n = 0) { + return this.radius = e, this.phi = t, this.theta = n, this; + } + set(e, t, n) { + return this.radius = e, this.phi = t, this.theta = n, this; + } + copy(e) { + return this.radius = e.radius, this.phi = e.phi, this.theta = e.theta, this; + } + // restrict phi to be between EPS and PI-EPS + makeSafe() { + return this.phi = Math.max(1e-6, Math.min(Math.PI - 1e-6, this.phi)), this; + } + setFromVector3(e) { + return this.setFromCartesianCoords(e.x, e.y, e.z); + } + setFromCartesianCoords(e, t, n) { + return this.radius = Math.sqrt(e * e + t * t + n * n), this.radius === 0 ? (this.theta = 0, this.phi = 0) : (this.theta = Math.atan2(e, n), this.phi = Math.acos(vt(t / this.radius, -1, 1))), this; + } + clone() { + return new this.constructor().copy(this); + } +} +typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register", { detail: { + revision: ss +} })); +typeof window < "u" && (window.__THREE__ ? console.warn("WARNING: Multiple instances of Three.js being imported.") : window.__THREE__ = ss); +const Ja = { type: "change" }, qr = { type: "start" }, Qa = { type: "end" }, ji = new To(), eo = new rn(), sp = Math.cos(70 * ql.DEG2RAD); +class ap extends Rn { + constructor(e, t) { + super(), this.object = e, this.domElement = t, this.domElement.style.touchAction = "none", this.enabled = !0, this.target = new P(), this.cursor = new P(), this.minDistance = 0, this.maxDistance = 1 / 0, this.minZoom = 0, this.maxZoom = 1 / 0, this.minTargetRadius = 0, this.maxTargetRadius = 1 / 0, this.minPolarAngle = 0, this.maxPolarAngle = Math.PI, this.minAzimuthAngle = -1 / 0, this.maxAzimuthAngle = 1 / 0, this.enableDamping = !1, this.dampingFactor = 0.05, this.enableZoom = !0, this.zoomSpeed = 1, this.enableRotate = !0, this.rotateSpeed = 1, this.enablePan = !0, this.panSpeed = 1, this.screenSpacePanning = !0, this.keyPanSpeed = 7, this.zoomToCursor = !1, this.autoRotate = !1, this.autoRotateSpeed = 2, this.keys = { LEFT: "ArrowLeft", UP: "ArrowUp", RIGHT: "ArrowRight", BOTTOM: "ArrowDown" }, this.mouseButtons = { LEFT: Ln.ROTATE, MIDDLE: Ln.DOLLY, RIGHT: Ln.PAN }, this.touches = { ONE: Pn.ROTATE, TWO: Pn.DOLLY_PAN }, this.target0 = this.target.clone(), this.position0 = this.object.position.clone(), this.zoom0 = this.object.zoom, this._domElementKeyEvents = null, this.getPolarAngle = function() { + return a.phi; + }, this.getAzimuthalAngle = function() { + return a.theta; + }, this.getDistance = function() { + return this.object.position.distanceTo(this.target); + }, this.listenToKeyEvents = function(T) { + T.addEventListener("keydown", ye), this._domElementKeyEvents = T; + }, this.stopListenToKeyEvents = function() { + this._domElementKeyEvents.removeEventListener("keydown", ye), this._domElementKeyEvents = null; + }, this.saveState = function() { + n.target0.copy(n.target), n.position0.copy(n.object.position), n.zoom0 = n.object.zoom; + }, this.reset = function() { + n.target.copy(n.target0), n.object.position.copy(n.position0), n.object.zoom = n.zoom0, n.object.updateProjectionMatrix(), n.dispatchEvent(Ja), n.update(), s = r.NONE; + }, this.update = function() { + const T = new P(), ne = new An().setFromUnitVectors(e.up, new P(0, 1, 0)), xe = ne.clone().invert(), fe = new P(), te = new An(), w = new P(), ie = 2 * Math.PI; + return function(Ce = null) { + const Te = n.object.position; + T.copy(Te).sub(n.target), T.applyQuaternion(ne), a.setFromVector3(T), n.autoRotate && s === r.NONE && Z(y(Ce)), n.enableDamping ? (a.theta += l.theta * n.dampingFactor, a.phi += l.phi * n.dampingFactor) : (a.theta += l.theta, a.phi += l.phi); + let ke = n.minAzimuthAngle, We = n.maxAzimuthAngle; + isFinite(ke) && isFinite(We) && (ke < -Math.PI ? ke += ie : ke > Math.PI && (ke -= ie), We < -Math.PI ? We += ie : We > Math.PI && (We -= ie), ke <= We ? a.theta = Math.max(ke, Math.min(We, a.theta)) : a.theta = a.theta > (ke + We) / 2 ? Math.max(ke, a.theta) : Math.min(We, a.theta)), a.phi = Math.max(n.minPolarAngle, Math.min(n.maxPolarAngle, a.phi)), a.makeSafe(), n.enableDamping === !0 ? n.target.addScaledVector(h, n.dampingFactor) : n.target.add(h), n.target.sub(n.cursor), n.target.clampLength(n.minTargetRadius, n.maxTargetRadius), n.target.add(n.cursor), n.zoomToCursor && C || n.object.isOrthographicCamera ? a.radius = q(a.radius) : a.radius = q(a.radius * c), T.setFromSpherical(a), T.applyQuaternion(xe), Te.copy(n.target).add(T), n.object.lookAt(n.target), n.enableDamping === !0 ? (l.theta *= 1 - n.dampingFactor, l.phi *= 1 - n.dampingFactor, h.multiplyScalar(1 - n.dampingFactor)) : (l.set(0, 0, 0), h.set(0, 0, 0)); + let et = !1; + if (n.zoomToCursor && C) { + let nt = null; + if (n.object.isPerspectiveCamera) { + const qe = T.length(); + nt = q(qe * c); + const st = qe - nt; + n.object.position.addScaledVector(R, st), n.object.updateMatrixWorld(); + } else if (n.object.isOrthographicCamera) { + const qe = new P(D.x, D.y, 0); + qe.unproject(n.object), n.object.zoom = Math.max(n.minZoom, Math.min(n.maxZoom, n.object.zoom / c)), n.object.updateProjectionMatrix(), et = !0; + const st = new P(D.x, D.y, 0); + st.unproject(n.object), n.object.position.sub(st).add(qe), n.object.updateMatrixWorld(), nt = T.length(); + } else + console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."), n.zoomToCursor = !1; + nt !== null && (this.screenSpacePanning ? n.target.set(0, 0, -1).transformDirection(n.object.matrix).multiplyScalar(nt).add(n.object.position) : (ji.origin.copy(n.object.position), ji.direction.set(0, 0, -1).transformDirection(n.object.matrix), Math.abs(n.object.up.dot(ji.direction)) < sp ? e.lookAt(n.target) : (eo.setFromNormalAndCoplanarPoint(n.object.up, n.target), ji.intersectPlane(eo, n.target)))); + } else n.object.isOrthographicCamera && (n.object.zoom = Math.max(n.minZoom, Math.min(n.maxZoom, n.object.zoom / c)), n.object.updateProjectionMatrix(), et = !0); + return c = 1, C = !1, et || fe.distanceToSquared(n.object.position) > o || 8 * (1 - te.dot(n.object.quaternion)) > o || w.distanceToSquared(n.target) > 0 ? (n.dispatchEvent(Ja), fe.copy(n.object.position), te.copy(n.object.quaternion), w.copy(n.target), !0) : !1; + }; + }(), this.dispose = function() { + n.domElement.removeEventListener("contextmenu", Ye), n.domElement.removeEventListener("pointerdown", M), n.domElement.removeEventListener("pointercancel", I), n.domElement.removeEventListener("wheel", J), n.domElement.removeEventListener("pointermove", _), n.domElement.removeEventListener("pointerup", I), n._domElementKeyEvents !== null && (n._domElementKeyEvents.removeEventListener("keydown", ye), n._domElementKeyEvents = null); + }; + const n = this, r = { + NONE: -1, + ROTATE: 0, + DOLLY: 1, + PAN: 2, + TOUCH_ROTATE: 3, + TOUCH_PAN: 4, + TOUCH_DOLLY_PAN: 5, + TOUCH_DOLLY_ROTATE: 6 + }; + let s = r.NONE; + const o = 1e-6, a = new $a(), l = new $a(); + let c = 1; + const h = new P(), d = new Ie(), p = new Ie(), m = new Ie(), g = new Ie(), v = new Ie(), f = new Ie(), u = new Ie(), b = new Ie(), S = new Ie(), R = new P(), D = new Ie(); + let C = !1; + const A = [], W = {}; + let x = !1; + function y(T) { + return T !== null ? 2 * Math.PI / 60 * n.autoRotateSpeed * T : 2 * Math.PI / 60 / 60 * n.autoRotateSpeed; + } + function z(T) { + const ne = Math.abs(T * 0.01); + return Math.pow(0.95, n.zoomSpeed * ne); + } + function Z(T) { + l.theta -= T; + } + function re(T) { + l.phi -= T; + } + const L = function() { + const T = new P(); + return function(xe, fe) { + T.setFromMatrixColumn(fe, 0), T.multiplyScalar(-xe), h.add(T); + }; + }(), F = function() { + const T = new P(); + return function(xe, fe) { + n.screenSpacePanning === !0 ? T.setFromMatrixColumn(fe, 1) : (T.setFromMatrixColumn(fe, 0), T.crossVectors(n.object.up, T)), T.multiplyScalar(xe), h.add(T); + }; + }(), V = function() { + const T = new P(); + return function(xe, fe) { + const te = n.domElement; + if (n.object.isPerspectiveCamera) { + const w = n.object.position; + T.copy(w).sub(n.target); + let ie = T.length(); + ie *= Math.tan(n.object.fov / 2 * Math.PI / 180), L(2 * xe * ie / te.clientHeight, n.object.matrix), F(2 * fe * ie / te.clientHeight, n.object.matrix); + } else n.object.isOrthographicCamera ? (L(xe * (n.object.right - n.object.left) / n.object.zoom / te.clientWidth, n.object.matrix), F(fe * (n.object.top - n.object.bottom) / n.object.zoom / te.clientHeight, n.object.matrix)) : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."), n.enablePan = !1); + }; + }(); + function Y(T) { + n.object.isPerspectiveCamera || n.object.isOrthographicCamera ? c /= T : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."), n.enableZoom = !1); + } + function X(T) { + n.object.isPerspectiveCamera || n.object.isOrthographicCamera ? c *= T : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."), n.enableZoom = !1); + } + function k(T, ne) { + if (!n.zoomToCursor) + return; + C = !0; + const xe = n.domElement.getBoundingClientRect(), fe = T - xe.left, te = ne - xe.top, w = xe.width, ie = xe.height; + D.x = fe / w * 2 - 1, D.y = -(te / ie) * 2 + 1, R.set(D.x, D.y, 1).unproject(n.object).sub(n.object.position).normalize(); + } + function q(T) { + return Math.max(n.minDistance, Math.min(n.maxDistance, T)); + } + function Q(T) { + d.set(T.clientX, T.clientY); + } + function ce(T) { + k(T.clientX, T.clientX), u.set(T.clientX, T.clientY); + } + function H(T) { + g.set(T.clientX, T.clientY); + } + function j(T) { + p.set(T.clientX, T.clientY), m.subVectors(p, d).multiplyScalar(n.rotateSpeed); + const ne = n.domElement; + Z(2 * Math.PI * m.x / ne.clientHeight), re(2 * Math.PI * m.y / ne.clientHeight), d.copy(p), n.update(); + } + function oe(T) { + b.set(T.clientX, T.clientY), S.subVectors(b, u), S.y > 0 ? Y(z(S.y)) : S.y < 0 && X(z(S.y)), u.copy(b), n.update(); + } + function ve(T) { + v.set(T.clientX, T.clientY), f.subVectors(v, g).multiplyScalar(n.panSpeed), V(f.x, f.y), g.copy(v), n.update(); + } + function _e(T) { + k(T.clientX, T.clientY), T.deltaY < 0 ? X(z(T.deltaY)) : T.deltaY > 0 && Y(z(T.deltaY)), n.update(); + } + function we(T) { + let ne = !1; + switch (T.code) { + case n.keys.UP: + T.ctrlKey || T.metaKey || T.shiftKey ? re(2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(0, n.keyPanSpeed), ne = !0; + break; + case n.keys.BOTTOM: + T.ctrlKey || T.metaKey || T.shiftKey ? re(-2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(0, -n.keyPanSpeed), ne = !0; + break; + case n.keys.LEFT: + T.ctrlKey || T.metaKey || T.shiftKey ? Z(2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(n.keyPanSpeed, 0), ne = !0; + break; + case n.keys.RIGHT: + T.ctrlKey || T.metaKey || T.shiftKey ? Z(-2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(-n.keyPanSpeed, 0), ne = !0; + break; + } + ne && (T.preventDefault(), n.update()); + } + function Ae(T) { + if (A.length === 1) + d.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + d.set(xe, fe); + } + } + function ge(T) { + if (A.length === 1) + g.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + g.set(xe, fe); + } + } + function Pe(T) { + const ne = ue(T), xe = T.pageX - ne.x, fe = T.pageY - ne.y, te = Math.sqrt(xe * xe + fe * fe); + u.set(0, te); + } + function N(T) { + n.enableZoom && Pe(T), n.enablePan && ge(T); + } + function rt(T) { + n.enableZoom && Pe(T), n.enableRotate && Ae(T); + } + function Me(T) { + if (A.length == 1) + p.set(T.pageX, T.pageY); + else { + const xe = ue(T), fe = 0.5 * (T.pageX + xe.x), te = 0.5 * (T.pageY + xe.y); + p.set(fe, te); + } + m.subVectors(p, d).multiplyScalar(n.rotateSpeed); + const ne = n.domElement; + Z(2 * Math.PI * m.x / ne.clientHeight), re(2 * Math.PI * m.y / ne.clientHeight), d.copy(p); + } + function Re(T) { + if (A.length === 1) + v.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + v.set(xe, fe); + } + f.subVectors(v, g).multiplyScalar(n.panSpeed), V(f.x, f.y), g.copy(v); + } + function pe(T) { + const ne = ue(T), xe = T.pageX - ne.x, fe = T.pageY - ne.y, te = Math.sqrt(xe * xe + fe * fe); + b.set(0, te), S.set(0, Math.pow(b.y / u.y, n.zoomSpeed)), Y(S.y), u.copy(b); + const w = (T.pageX + ne.x) * 0.5, ie = (T.pageY + ne.y) * 0.5; + k(w, ie); + } + function je(T) { + n.enableZoom && pe(T), n.enablePan && Re(T); + } + function be(T) { + n.enableZoom && pe(T), n.enableRotate && Me(T); + } + function M(T) { + n.enabled !== !1 && (A.length === 0 && (n.domElement.setPointerCapture(T.pointerId), n.domElement.addEventListener("pointermove", _), n.domElement.addEventListener("pointerup", I)), ze(T), T.pointerType === "touch" ? Fe(T) : $(T)); + } + function _(T) { + n.enabled !== !1 && (T.pointerType === "touch" ? ee(T) : K(T)); + } + function I(T) { + De(T), A.length === 0 && (n.domElement.releasePointerCapture(T.pointerId), n.domElement.removeEventListener("pointermove", _), n.domElement.removeEventListener("pointerup", I)), n.dispatchEvent(Qa), s = r.NONE; + } + function $(T) { + let ne; + switch (T.button) { + case 0: + ne = n.mouseButtons.LEFT; + break; + case 1: + ne = n.mouseButtons.MIDDLE; + break; + case 2: + ne = n.mouseButtons.RIGHT; + break; + default: + ne = -1; + } + switch (ne) { + case Ln.DOLLY: + if (n.enableZoom === !1) return; + ce(T), s = r.DOLLY; + break; + case Ln.ROTATE: + if (T.ctrlKey || T.metaKey || T.shiftKey) { + if (n.enablePan === !1) return; + H(T), s = r.PAN; + } else { + if (n.enableRotate === !1) return; + Q(T), s = r.ROTATE; + } + break; + case Ln.PAN: + if (T.ctrlKey || T.metaKey || T.shiftKey) { + if (n.enableRotate === !1) return; + Q(T), s = r.ROTATE; + } else { + if (n.enablePan === !1) return; + H(T), s = r.PAN; + } + break; + default: + s = r.NONE; + } + s !== r.NONE && n.dispatchEvent(qr); + } + function K(T) { + switch (s) { + case r.ROTATE: + if (n.enableRotate === !1) return; + j(T); + break; + case r.DOLLY: + if (n.enableZoom === !1) return; + oe(T); + break; + case r.PAN: + if (n.enablePan === !1) return; + ve(T); + break; + } + } + function J(T) { + n.enabled === !1 || n.enableZoom === !1 || s !== r.NONE || (T.preventDefault(), n.dispatchEvent(qr), _e(me(T)), n.dispatchEvent(Qa)); + } + function me(T) { + const ne = T.deltaMode, xe = { + clientX: T.clientX, + clientY: T.clientY, + deltaY: T.deltaY + }; + switch (ne) { + case 1: + xe.deltaY *= 16; + break; + case 2: + xe.deltaY *= 100; + break; + } + return T.ctrlKey && !x && (xe.deltaY *= 10), xe; + } + function ae(T) { + T.key === "Control" && (x = !0, document.addEventListener("keyup", he, { passive: !0, capture: !0 })); + } + function he(T) { + T.key === "Control" && (x = !1, document.removeEventListener("keyup", he, { passive: !0, capture: !0 })); + } + function ye(T) { + n.enabled === !1 || n.enablePan === !1 || we(T); + } + function Fe(T) { + switch (Ee(T), A.length) { + case 1: + switch (n.touches.ONE) { + case Pn.ROTATE: + if (n.enableRotate === !1) return; + Ae(T), s = r.TOUCH_ROTATE; + break; + case Pn.PAN: + if (n.enablePan === !1) return; + ge(T), s = r.TOUCH_PAN; + break; + default: + s = r.NONE; + } + break; + case 2: + switch (n.touches.TWO) { + case Pn.DOLLY_PAN: + if (n.enableZoom === !1 && n.enablePan === !1) return; + N(T), s = r.TOUCH_DOLLY_PAN; + break; + case Pn.DOLLY_ROTATE: + if (n.enableZoom === !1 && n.enableRotate === !1) return; + rt(T), s = r.TOUCH_DOLLY_ROTATE; + break; + default: + s = r.NONE; + } + break; + default: + s = r.NONE; + } + s !== r.NONE && n.dispatchEvent(qr); + } + function ee(T) { + switch (Ee(T), s) { + case r.TOUCH_ROTATE: + if (n.enableRotate === !1) return; + Me(T), n.update(); + break; + case r.TOUCH_PAN: + if (n.enablePan === !1) return; + Re(T), n.update(); + break; + case r.TOUCH_DOLLY_PAN: + if (n.enableZoom === !1 && n.enablePan === !1) return; + je(T), n.update(); + break; + case r.TOUCH_DOLLY_ROTATE: + if (n.enableZoom === !1 && n.enableRotate === !1) return; + be(T), n.update(); + break; + default: + s = r.NONE; + } + } + function Ye(T) { + n.enabled !== !1 && T.preventDefault(); + } + function ze(T) { + A.push(T.pointerId); + } + function De(T) { + delete W[T.pointerId]; + for (let ne = 0; ne < A.length; ne++) + if (A[ne] == T.pointerId) { + A.splice(ne, 1); + return; + } + } + function Ee(T) { + let ne = W[T.pointerId]; + ne === void 0 && (ne = new Ie(), W[T.pointerId] = ne), ne.set(T.pageX, T.pageY); + } + function ue(T) { + const ne = T.pointerId === A[0] ? A[1] : A[0]; + return W[ne]; + } + n.domElement.addEventListener("contextmenu", Ye), n.domElement.addEventListener("pointerdown", M), n.domElement.addEventListener("pointercancel", I), n.domElement.addEventListener("wheel", J, { passive: !1 }), document.addEventListener("keydown", ae, { passive: !0, capture: !0 }), this.update(); + } +} +const op = "_wrapper_1xs2z_1", lp = "_canvasShell_1xs2z_28", cp = "_canvas_1xs2z_28", up = "_viewportLabels_1xs2z_48", hp = "_splitLabel_1xs2z_61", dp = "_controlOverlay_1xs2z_73", fp = "_resolutionCard_1xs2z_83", pp = "_resolutionControl_1xs2z_97", mp = "_slider_1xs2z_105", _p = "_sliderValue_1xs2z_111", Ut = { + wrapper: op, + canvasShell: lp, + canvas: cp, + viewportLabels: up, + splitLabel: hp, + controlOverlay: dp, + resolutionCard: fp, + resolutionControl: pp, + slider: mp, + sliderValue: _p +}, gp = 24, to = new P(20, 20, 20), no = new P(0, 0, 0), vp = 5e3, Yr = "#f2f0ea", xp = (i, e, t) => Math.min(t, Math.max(e, i)), jr = (i, e, t, n, r = 1) => { + if (typeof i != "number" || Number.isNaN(i)) return e; + const s = Math.round(i / r) * r; + return xp(s, t, n); +}; +function io(i) { + const e = new rp(16777215, 0.65); + i.add(e); + const t = new ip(16777215, 1.1); + t.position.set(20, 50, 20), t.castShadow = !0, t.shadow.mapSize.width = 2048, t.shadow.mapSize.height = 2048, i.add(t); + const n = new Za(3900150, 1.1, 50); + n.position.set(-10, 10, -10), i.add(n); + const r = new Za(16743001, 0.9, 50); + r.position.set(10, -10, 10), i.add(r); +} +function Mp(i) { + if (Array.isArray(i)) { + i.forEach((e) => e.dispose()); + return; + } + i.dispose(); +} +function ro(i) { + i.traverse((e) => { + const t = e; + t.geometry && t.geometry.dispose(), t.material && Mp(t.material); + }); +} +function yp({ + config: i, + onComplete: e, + onProgress: t, + theme: n, + className: r +}) { + const s = i.params ?? {}, o = jr(s.gridSize, 24, 12, 80, 1), a = jr(s.majorRadius, 8, 4, 10, 0.5), l = jr(s.minorRadius, 3, 1, 5, 0.25), [c, h] = Ms(o), [d, p] = Ms({ + layout: "landscape", + width: 0, + height: 0 + }), m = dr(null), g = dr(null), v = dr(!1); + ai(() => { + const R = m.current; + if (!R) return; + const D = () => { + const A = R.clientWidth, W = R.clientHeight; + if (!A || !W) return; + const x = A >= W ? "landscape" : "portrait"; + let y = A, z = W; + x === "landscape" ? (z = Math.min(W, A * (9 / 16)), y = z * (16 / 9)) : (y = Math.min(A, W / 2), z = y * 2), p({ + layout: x, + width: y, + height: z + }); + }, C = new ResizeObserver(D); + return C.observe(R), D(), () => { + C.disconnect(); + }; + }, []), ai(() => { + h(o), v.current = !1; + }, [i.id, o, a, l]); + const f = fr( + () => Math.max(gp, (a + l + 1.5) * 2), + [a, l] + ), u = fr(() => f / c, [f, c]); + ai(() => { + t == null || t(c === o ? 0 : 100); + }, [o, t, c]), ai(() => { + c === o || v.current || (v.current = !0, e({ + success: !0, + score: 100, + data: { + configId: i.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + params: { + gridSize: c, + majorRadius: a, + minorRadius: l + } + } + })); + }, [i.id, o, a, l, e, c]), ai(() => { + const R = g.current; + if (!R) return; + const D = new Ha(), C = new Ha(), A = new Xe(Yr); + D.background = A, D.fog = new ir(Yr, 0.02), C.background = A, C.fog = new ir(Yr, 0.02), io(D), io(C); + const W = new Tt(45, 1, 0.1, 1e3); + W.position.copy(to); + const x = new Go({ antialias: !0, alpha: !0 }); + x.shadowMap.enabled = !0, x.shadowMap.type = ao, x.setPixelRatio(Math.min(window.devicePixelRatio, 2)), x.setScissorTest(!0), R.appendChild(x.domElement); + const y = new ap(W, x.domElement); + y.enableDamping = !0, y.dampingFactor = 0.05, y.minDistance = 5, y.maxDistance = 100, y.target.copy(no); + const z = new ds(a, l, 64, 128), Z = new qa({ + color: 3900150, + roughness: 0.22, + metalness: 0.1 + }), re = new Ot(z, Z); + re.castShadow = !0, re.receiveShadow = !0, re.rotation.x = -Math.PI / 2, D.add(re); + const L = u * 0.12, F = Math.max(u - L, u * 0.2), V = new ii(F, F, F), Y = new qa({ + color: 3900150, + roughness: 0.22, + metalness: 0.1 + }), X = new ls({ + color: 0, + transparent: !0, + opacity: 0.08, + wireframe: !0 + }), k = Math.pow(c, 3), q = new Xa(V, Y, k), Q = new Xa(V, X, k), ce = (c - 1) * u / 2, H = new dt(); + q.castShadow = !0, q.receiveShadow = !0, C.add(q), C.add(Q); + let j = 0, oe = 0; + for (let be = 0; be < c; be += 1) + for (let M = 0; M < c; M += 1) + for (let _ = 0; _ < c; _ += 1) { + const I = be * u - ce, $ = M * u - ce, K = _ * u - ce, J = Math.sqrt(I * I + K * K) - a, ae = J * J + $ * $ < l * l; + if (H.position.set(I, $, K), H.updateMatrix(), ae) { + q.setMatrixAt(j, H.matrix); + const he = new Xe(), ye = 0.52 + $ / Math.max(c, 1) * 0.18; + he.setHSL(ye, 0.78, 0.52), q.setColorAt(j, he), j += 1; + continue; + } + Q.setMatrixAt(oe, H.matrix), oe += 1; + } + q.count = j, Q.count = oe, q.instanceMatrix.needsUpdate = !0, Q.instanceMatrix.needsUpdate = !0, q.instanceColor && (q.instanceColor.needsUpdate = !0); + const ve = to.clone(), _e = no.clone(); + let we = !1, Ae = null, ge = 0, Pe = 0; + const N = () => { + ge = R.clientWidth, Pe = R.clientHeight, !(!ge || !Pe) && (W.aspect = 1, W.updateProjectionMatrix(), x.setSize(ge, Pe, !1)); + }, rt = new ResizeObserver(N); + rt.observe(R), N(); + const Me = () => { + we = !1, Ae !== null && (window.clearTimeout(Ae), Ae = null); + }, Re = () => { + Ae = window.setTimeout(() => { + we = !0; + }, vp); + }; + y.addEventListener("start", Me), y.addEventListener("end", Re); + let pe = 0; + const je = () => { + if (pe = window.requestAnimationFrame(je), we && (W.position.lerp(ve, 0.05), y.target.lerp(_e, 0.05), W.position.distanceTo(ve) < 0.1 && y.target.distanceTo(_e) < 0.1 && (we = !1)), re.rotation.z += 2e-3, q.rotation.y += 2e-3, Q.rotation.y += 2e-3, Q.visible = !1, y.update(), !ge || !Pe) return; + const be = ge >= Pe, M = be ? Math.min(ge / 2, Pe) : Math.min(ge, Pe / 2), _ = be ? (ge - M * 2) / 2 : (ge - M) / 2, I = be ? (Pe - M) / 2 : (Pe - M * 2) / 2, $ = _, K = be ? I : I + M, J = be ? _ + M : _, me = I; + x.setScissor($, K, M, M), x.setViewport($, K, M, M), x.render(D, W), x.setScissor(J, me, M, M), x.setViewport(J, me, M, M), x.render(C, W); + }; + return je(), () => { + window.cancelAnimationFrame(pe), Ae !== null && window.clearTimeout(Ae), rt.disconnect(), y.removeEventListener("start", Me), y.removeEventListener("end", Re), y.dispose(), x.dispose(), ro(D), ro(C), R.removeChild(x.domElement); + }; + }, [a, l, c, u]); + const b = fr( + () => ({ + "--gc-primary": (n == null ? void 0 : n.primary) ?? "var(--color-primary, #45c4b0)", + "--gc-accent": (n == null ? void 0 : n.accent) ?? "var(--color-accent, #ff7a59)", + "--gc-bg": (n == null ? void 0 : n.bg) ?? "var(--color-bg, #0d1117)", + "--gc-bg-secondary": (n == null ? void 0 : n.bgSecondary) ?? "var(--color-bg-secondary, #182237)", + "--gc-text": (n == null ? void 0 : n.text) ?? "var(--color-text, #f1f4ef)", + "--gc-text-muted": (n == null ? void 0 : n.textMuted) ?? "var(--color-text-muted, #b6c0d4)", + "--gc-border": (n == null ? void 0 : n.border) ?? "var(--color-border, #34516f)" + }), + [n] + ), S = (R) => { + h(Number(R.target.value)); + }; + return /* @__PURE__ */ pn("div", { className: [Ut.wrapper, r].filter(Boolean).join(" "), style: b, ref: m, children: /* @__PURE__ */ yi( + "div", + { + className: Ut.canvasShell, + "data-layout": d.layout, + style: { + width: d.width ? `${d.width}px` : void 0, + height: d.height ? `${d.height}px` : void 0 + }, + children: [ + /* @__PURE__ */ pn("div", { className: Ut.canvas, ref: g }), + /* @__PURE__ */ yi("div", { className: Ut.viewportLabels, "data-layout": d.layout, children: [ + /* @__PURE__ */ pn("div", { className: Ut.splitLabel, children: "Continuous" }), + /* @__PURE__ */ pn("div", { className: Ut.splitLabel, children: "Discrete" }) + ] }), + /* @__PURE__ */ pn("div", { className: Ut.controlOverlay, children: /* @__PURE__ */ pn("label", { className: Ut.resolutionCard, children: /* @__PURE__ */ yi("span", { className: Ut.resolutionControl, children: [ + /* @__PURE__ */ pn( + "input", + { + className: Ut.slider, + type: "range", + min: "12", + max: "80", + step: "1", + value: c, + onChange: S + } + ), + /* @__PURE__ */ yi("span", { className: Ut.sliderValue, children: [ + u.toFixed(2), + "u" + ] }) + ] }) }) }) + ] + } + ) }); +} +const Tp = { + name: "voxel_universe", + displayName: "Voxel Universe", + version: "1.0.0", + paramSchema: { + gridSize: { + type: "range", + label: "Voxel Resolution", + description: "How many voxels are used per axis. Higher values make each voxel smaller.", + default: 24, + min: 12, + max: 80, + step: 1 + }, + majorRadius: { + type: "range", + label: "Major Radius", + description: "Overall radius of the torus shape.", + default: 8, + min: 4, + max: 10, + step: 0.5 + }, + minorRadius: { + type: "range", + label: "Minor Radius", + description: "Thickness of the torus ring.", + default: 3, + min: 1, + max: 5, + step: 0.25 + } + }, + defaultParams: { + gridSize: 24, + majorRadius: 8, + minorRadius: 3 + } +}; +export { + yp as default, + Tp as metadata +}; +//# sourceMappingURL=voxel_universe.js.map diff --git a/dist/glitch/glitch_voxel_universe/voxel_universe.js.map b/dist/glitch/glitch_voxel_universe/voxel_universe.js.map new file mode 100644 index 0000000..ad72beb --- /dev/null +++ b/dist/glitch/glitch_voxel_universe/voxel_universe.js.map @@ -0,0 +1 @@ +{"version":3,"file":"voxel_universe.js","sources":["../node_modules/three/build/three.module.js","../node_modules/three/examples/jsm/controls/OrbitControls.js","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["/**\n * @license\n * Copyright 2010-2023 Three.js Authors\n * SPDX-License-Identifier: MIT\n */\nconst REVISION = '160';\n\nconst MOUSE = { LEFT: 0, MIDDLE: 1, RIGHT: 2, ROTATE: 0, DOLLY: 1, PAN: 2 };\nconst TOUCH = { ROTATE: 0, PAN: 1, DOLLY_PAN: 2, DOLLY_ROTATE: 3 };\nconst CullFaceNone = 0;\nconst CullFaceBack = 1;\nconst CullFaceFront = 2;\nconst CullFaceFrontBack = 3;\nconst BasicShadowMap = 0;\nconst PCFShadowMap = 1;\nconst PCFSoftShadowMap = 2;\nconst VSMShadowMap = 3;\nconst FrontSide = 0;\nconst BackSide = 1;\nconst DoubleSide = 2;\nconst TwoPassDoubleSide = 2; // r149\nconst NoBlending = 0;\nconst NormalBlending = 1;\nconst AdditiveBlending = 2;\nconst SubtractiveBlending = 3;\nconst MultiplyBlending = 4;\nconst CustomBlending = 5;\nconst AddEquation = 100;\nconst SubtractEquation = 101;\nconst ReverseSubtractEquation = 102;\nconst MinEquation = 103;\nconst MaxEquation = 104;\nconst ZeroFactor = 200;\nconst OneFactor = 201;\nconst SrcColorFactor = 202;\nconst OneMinusSrcColorFactor = 203;\nconst SrcAlphaFactor = 204;\nconst OneMinusSrcAlphaFactor = 205;\nconst DstAlphaFactor = 206;\nconst OneMinusDstAlphaFactor = 207;\nconst DstColorFactor = 208;\nconst OneMinusDstColorFactor = 209;\nconst SrcAlphaSaturateFactor = 210;\nconst ConstantColorFactor = 211;\nconst OneMinusConstantColorFactor = 212;\nconst ConstantAlphaFactor = 213;\nconst OneMinusConstantAlphaFactor = 214;\nconst NeverDepth = 0;\nconst AlwaysDepth = 1;\nconst LessDepth = 2;\nconst LessEqualDepth = 3;\nconst EqualDepth = 4;\nconst GreaterEqualDepth = 5;\nconst GreaterDepth = 6;\nconst NotEqualDepth = 7;\nconst MultiplyOperation = 0;\nconst MixOperation = 1;\nconst AddOperation = 2;\nconst NoToneMapping = 0;\nconst LinearToneMapping = 1;\nconst ReinhardToneMapping = 2;\nconst CineonToneMapping = 3;\nconst ACESFilmicToneMapping = 4;\nconst CustomToneMapping = 5;\nconst AgXToneMapping = 6;\nconst AttachedBindMode = 'attached';\nconst DetachedBindMode = 'detached';\n\nconst UVMapping = 300;\nconst CubeReflectionMapping = 301;\nconst CubeRefractionMapping = 302;\nconst EquirectangularReflectionMapping = 303;\nconst EquirectangularRefractionMapping = 304;\nconst CubeUVReflectionMapping = 306;\nconst RepeatWrapping = 1000;\nconst ClampToEdgeWrapping = 1001;\nconst MirroredRepeatWrapping = 1002;\nconst NearestFilter = 1003;\nconst NearestMipmapNearestFilter = 1004;\nconst NearestMipMapNearestFilter = 1004;\nconst NearestMipmapLinearFilter = 1005;\nconst NearestMipMapLinearFilter = 1005;\nconst LinearFilter = 1006;\nconst LinearMipmapNearestFilter = 1007;\nconst LinearMipMapNearestFilter = 1007;\nconst LinearMipmapLinearFilter = 1008;\nconst LinearMipMapLinearFilter = 1008;\nconst UnsignedByteType = 1009;\nconst ByteType = 1010;\nconst ShortType = 1011;\nconst UnsignedShortType = 1012;\nconst IntType = 1013;\nconst UnsignedIntType = 1014;\nconst FloatType = 1015;\nconst HalfFloatType = 1016;\nconst UnsignedShort4444Type = 1017;\nconst UnsignedShort5551Type = 1018;\nconst UnsignedInt248Type = 1020;\nconst AlphaFormat = 1021;\nconst RGBAFormat = 1023;\nconst LuminanceFormat = 1024;\nconst LuminanceAlphaFormat = 1025;\nconst DepthFormat = 1026;\nconst DepthStencilFormat = 1027;\nconst RedFormat = 1028;\nconst RedIntegerFormat = 1029;\nconst RGFormat = 1030;\nconst RGIntegerFormat = 1031;\nconst RGBAIntegerFormat = 1033;\n\nconst RGB_S3TC_DXT1_Format = 33776;\nconst RGBA_S3TC_DXT1_Format = 33777;\nconst RGBA_S3TC_DXT3_Format = 33778;\nconst RGBA_S3TC_DXT5_Format = 33779;\nconst RGB_PVRTC_4BPPV1_Format = 35840;\nconst RGB_PVRTC_2BPPV1_Format = 35841;\nconst RGBA_PVRTC_4BPPV1_Format = 35842;\nconst RGBA_PVRTC_2BPPV1_Format = 35843;\nconst RGB_ETC1_Format = 36196;\nconst RGB_ETC2_Format = 37492;\nconst RGBA_ETC2_EAC_Format = 37496;\nconst RGBA_ASTC_4x4_Format = 37808;\nconst RGBA_ASTC_5x4_Format = 37809;\nconst RGBA_ASTC_5x5_Format = 37810;\nconst RGBA_ASTC_6x5_Format = 37811;\nconst RGBA_ASTC_6x6_Format = 37812;\nconst RGBA_ASTC_8x5_Format = 37813;\nconst RGBA_ASTC_8x6_Format = 37814;\nconst RGBA_ASTC_8x8_Format = 37815;\nconst RGBA_ASTC_10x5_Format = 37816;\nconst RGBA_ASTC_10x6_Format = 37817;\nconst RGBA_ASTC_10x8_Format = 37818;\nconst RGBA_ASTC_10x10_Format = 37819;\nconst RGBA_ASTC_12x10_Format = 37820;\nconst RGBA_ASTC_12x12_Format = 37821;\nconst RGBA_BPTC_Format = 36492;\nconst RGB_BPTC_SIGNED_Format = 36494;\nconst RGB_BPTC_UNSIGNED_Format = 36495;\nconst RED_RGTC1_Format = 36283;\nconst SIGNED_RED_RGTC1_Format = 36284;\nconst RED_GREEN_RGTC2_Format = 36285;\nconst SIGNED_RED_GREEN_RGTC2_Format = 36286;\nconst LoopOnce = 2200;\nconst LoopRepeat = 2201;\nconst LoopPingPong = 2202;\nconst InterpolateDiscrete = 2300;\nconst InterpolateLinear = 2301;\nconst InterpolateSmooth = 2302;\nconst ZeroCurvatureEnding = 2400;\nconst ZeroSlopeEnding = 2401;\nconst WrapAroundEnding = 2402;\nconst NormalAnimationBlendMode = 2500;\nconst AdditiveAnimationBlendMode = 2501;\nconst TrianglesDrawMode = 0;\nconst TriangleStripDrawMode = 1;\nconst TriangleFanDrawMode = 2;\n/** @deprecated Use LinearSRGBColorSpace or NoColorSpace in three.js r152+. */\nconst LinearEncoding = 3000;\n/** @deprecated Use SRGBColorSpace in three.js r152+. */\nconst sRGBEncoding = 3001;\nconst BasicDepthPacking = 3200;\nconst RGBADepthPacking = 3201;\nconst TangentSpaceNormalMap = 0;\nconst ObjectSpaceNormalMap = 1;\n\n// Color space string identifiers, matching CSS Color Module Level 4 and WebGPU names where available.\nconst NoColorSpace = '';\nconst SRGBColorSpace = 'srgb';\nconst LinearSRGBColorSpace = 'srgb-linear';\nconst DisplayP3ColorSpace = 'display-p3';\nconst LinearDisplayP3ColorSpace = 'display-p3-linear';\n\nconst LinearTransfer = 'linear';\nconst SRGBTransfer = 'srgb';\n\nconst Rec709Primaries = 'rec709';\nconst P3Primaries = 'p3';\n\nconst ZeroStencilOp = 0;\nconst KeepStencilOp = 7680;\nconst ReplaceStencilOp = 7681;\nconst IncrementStencilOp = 7682;\nconst DecrementStencilOp = 7683;\nconst IncrementWrapStencilOp = 34055;\nconst DecrementWrapStencilOp = 34056;\nconst InvertStencilOp = 5386;\n\nconst NeverStencilFunc = 512;\nconst LessStencilFunc = 513;\nconst EqualStencilFunc = 514;\nconst LessEqualStencilFunc = 515;\nconst GreaterStencilFunc = 516;\nconst NotEqualStencilFunc = 517;\nconst GreaterEqualStencilFunc = 518;\nconst AlwaysStencilFunc = 519;\n\nconst NeverCompare = 512;\nconst LessCompare = 513;\nconst EqualCompare = 514;\nconst LessEqualCompare = 515;\nconst GreaterCompare = 516;\nconst NotEqualCompare = 517;\nconst GreaterEqualCompare = 518;\nconst AlwaysCompare = 519;\n\nconst StaticDrawUsage = 35044;\nconst DynamicDrawUsage = 35048;\nconst StreamDrawUsage = 35040;\nconst StaticReadUsage = 35045;\nconst DynamicReadUsage = 35049;\nconst StreamReadUsage = 35041;\nconst StaticCopyUsage = 35046;\nconst DynamicCopyUsage = 35050;\nconst StreamCopyUsage = 35042;\n\nconst GLSL1 = '100';\nconst GLSL3 = '300 es';\n\nconst _SRGBAFormat = 1035; // fallback for WebGL 1\n\nconst WebGLCoordinateSystem = 2000;\nconst WebGPUCoordinateSystem = 2001;\n\n/**\n * https://github.com/mrdoob/eventdispatcher.js/\n */\n\nclass EventDispatcher {\n\n\taddEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) this._listeners = {};\n\n\t\tconst listeners = this._listeners;\n\n\t\tif ( listeners[ type ] === undefined ) {\n\n\t\t\tlisteners[ type ] = [];\n\n\t\t}\n\n\t\tif ( listeners[ type ].indexOf( listener ) === - 1 ) {\n\n\t\t\tlisteners[ type ].push( listener );\n\n\t\t}\n\n\t}\n\n\thasEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) return false;\n\n\t\tconst listeners = this._listeners;\n\n\t\treturn listeners[ type ] !== undefined && listeners[ type ].indexOf( listener ) !== - 1;\n\n\t}\n\n\tremoveEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) return;\n\n\t\tconst listeners = this._listeners;\n\t\tconst listenerArray = listeners[ type ];\n\n\t\tif ( listenerArray !== undefined ) {\n\n\t\t\tconst index = listenerArray.indexOf( listener );\n\n\t\t\tif ( index !== - 1 ) {\n\n\t\t\t\tlistenerArray.splice( index, 1 );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tdispatchEvent( event ) {\n\n\t\tif ( this._listeners === undefined ) return;\n\n\t\tconst listeners = this._listeners;\n\t\tconst listenerArray = listeners[ event.type ];\n\n\t\tif ( listenerArray !== undefined ) {\n\n\t\t\tevent.target = this;\n\n\t\t\t// Make a copy, in case listeners are removed while iterating.\n\t\t\tconst array = listenerArray.slice( 0 );\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tarray[ i ].call( this, event );\n\n\t\t\t}\n\n\t\t\tevent.target = null;\n\n\t\t}\n\n\t}\n\n}\n\nconst _lut = [ '00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '0a', '0b', '0c', '0d', '0e', '0f', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '1a', '1b', '1c', '1d', '1e', '1f', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '2a', '2b', '2c', '2d', '2e', '2f', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '3a', '3b', '3c', '3d', '3e', '3f', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '4a', '4b', '4c', '4d', '4e', '4f', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '5a', '5b', '5c', '5d', '5e', '5f', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '6a', '6b', '6c', '6d', '6e', '6f', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '7a', '7b', '7c', '7d', '7e', '7f', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '8a', '8b', '8c', '8d', '8e', '8f', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '9a', '9b', '9c', '9d', '9e', '9f', 'a0', 'a1', 'a2', 'a3', 'a4', 'a5', 'a6', 'a7', 'a8', 'a9', 'aa', 'ab', 'ac', 'ad', 'ae', 'af', 'b0', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'b7', 'b8', 'b9', 'ba', 'bb', 'bc', 'bd', 'be', 'bf', 'c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9', 'ca', 'cb', 'cc', 'cd', 'ce', 'cf', 'd0', 'd1', 'd2', 'd3', 'd4', 'd5', 'd6', 'd7', 'd8', 'd9', 'da', 'db', 'dc', 'dd', 'de', 'df', 'e0', 'e1', 'e2', 'e3', 'e4', 'e5', 'e6', 'e7', 'e8', 'e9', 'ea', 'eb', 'ec', 'ed', 'ee', 'ef', 'f0', 'f1', 'f2', 'f3', 'f4', 'f5', 'f6', 'f7', 'f8', 'f9', 'fa', 'fb', 'fc', 'fd', 'fe', 'ff' ];\n\nlet _seed = 1234567;\n\n\nconst DEG2RAD = Math.PI / 180;\nconst RAD2DEG = 180 / Math.PI;\n\n// http://stackoverflow.com/questions/105034/how-to-create-a-guid-uuid-in-javascript/21963136#21963136\nfunction generateUUID() {\n\n\tconst d0 = Math.random() * 0xffffffff | 0;\n\tconst d1 = Math.random() * 0xffffffff | 0;\n\tconst d2 = Math.random() * 0xffffffff | 0;\n\tconst d3 = Math.random() * 0xffffffff | 0;\n\tconst uuid = _lut[ d0 & 0xff ] + _lut[ d0 >> 8 & 0xff ] + _lut[ d0 >> 16 & 0xff ] + _lut[ d0 >> 24 & 0xff ] + '-' +\n\t\t\t_lut[ d1 & 0xff ] + _lut[ d1 >> 8 & 0xff ] + '-' + _lut[ d1 >> 16 & 0x0f | 0x40 ] + _lut[ d1 >> 24 & 0xff ] + '-' +\n\t\t\t_lut[ d2 & 0x3f | 0x80 ] + _lut[ d2 >> 8 & 0xff ] + '-' + _lut[ d2 >> 16 & 0xff ] + _lut[ d2 >> 24 & 0xff ] +\n\t\t\t_lut[ d3 & 0xff ] + _lut[ d3 >> 8 & 0xff ] + _lut[ d3 >> 16 & 0xff ] + _lut[ d3 >> 24 & 0xff ];\n\n\t// .toLowerCase() here flattens concatenated strings to save heap memory space.\n\treturn uuid.toLowerCase();\n\n}\n\nfunction clamp( value, min, max ) {\n\n\treturn Math.max( min, Math.min( max, value ) );\n\n}\n\n// compute euclidean modulo of m % n\n// https://en.wikipedia.org/wiki/Modulo_operation\nfunction euclideanModulo( n, m ) {\n\n\treturn ( ( n % m ) + m ) % m;\n\n}\n\n// Linear mapping from range to range \nfunction mapLinear( x, a1, a2, b1, b2 ) {\n\n\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\n\n}\n\n// https://www.gamedev.net/tutorials/programming/general-and-gameplay-programming/inverse-lerp-a-super-useful-yet-often-overlooked-function-r5230/\nfunction inverseLerp( x, y, value ) {\n\n\tif ( x !== y ) {\n\n\t\treturn ( value - x ) / ( y - x );\n\n\t} else {\n\n\t\treturn 0;\n\n\t}\n\n}\n\n// https://en.wikipedia.org/wiki/Linear_interpolation\nfunction lerp( x, y, t ) {\n\n\treturn ( 1 - t ) * x + t * y;\n\n}\n\n// http://www.rorydriscoll.com/2016/03/07/frame-rate-independent-damping-using-lerp/\nfunction damp( x, y, lambda, dt ) {\n\n\treturn lerp( x, y, 1 - Math.exp( - lambda * dt ) );\n\n}\n\n// https://www.desmos.com/calculator/vcsjnyz7x4\nfunction pingpong( x, length = 1 ) {\n\n\treturn length - Math.abs( euclideanModulo( x, length * 2 ) - length );\n\n}\n\n// http://en.wikipedia.org/wiki/Smoothstep\nfunction smoothstep( x, min, max ) {\n\n\tif ( x <= min ) return 0;\n\tif ( x >= max ) return 1;\n\n\tx = ( x - min ) / ( max - min );\n\n\treturn x * x * ( 3 - 2 * x );\n\n}\n\nfunction smootherstep( x, min, max ) {\n\n\tif ( x <= min ) return 0;\n\tif ( x >= max ) return 1;\n\n\tx = ( x - min ) / ( max - min );\n\n\treturn x * x * x * ( x * ( x * 6 - 15 ) + 10 );\n\n}\n\n// Random integer from interval\nfunction randInt( low, high ) {\n\n\treturn low + Math.floor( Math.random() * ( high - low + 1 ) );\n\n}\n\n// Random float from interval\nfunction randFloat( low, high ) {\n\n\treturn low + Math.random() * ( high - low );\n\n}\n\n// Random float from <-range/2, range/2> interval\nfunction randFloatSpread( range ) {\n\n\treturn range * ( 0.5 - Math.random() );\n\n}\n\n// Deterministic pseudo-random float in the interval [ 0, 1 ]\nfunction seededRandom( s ) {\n\n\tif ( s !== undefined ) _seed = s;\n\n\t// Mulberry32 generator\n\n\tlet t = _seed += 0x6D2B79F5;\n\n\tt = Math.imul( t ^ t >>> 15, t | 1 );\n\n\tt ^= t + Math.imul( t ^ t >>> 7, t | 61 );\n\n\treturn ( ( t ^ t >>> 14 ) >>> 0 ) / 4294967296;\n\n}\n\nfunction degToRad( degrees ) {\n\n\treturn degrees * DEG2RAD;\n\n}\n\nfunction radToDeg( radians ) {\n\n\treturn radians * RAD2DEG;\n\n}\n\nfunction isPowerOfTwo( value ) {\n\n\treturn ( value & ( value - 1 ) ) === 0 && value !== 0;\n\n}\n\nfunction ceilPowerOfTwo( value ) {\n\n\treturn Math.pow( 2, Math.ceil( Math.log( value ) / Math.LN2 ) );\n\n}\n\nfunction floorPowerOfTwo( value ) {\n\n\treturn Math.pow( 2, Math.floor( Math.log( value ) / Math.LN2 ) );\n\n}\n\nfunction setQuaternionFromProperEuler( q, a, b, c, order ) {\n\n\t// Intrinsic Proper Euler Angles - see https://en.wikipedia.org/wiki/Euler_angles\n\n\t// rotations are applied to the axes in the order specified by 'order'\n\t// rotation by angle 'a' is applied first, then by angle 'b', then by angle 'c'\n\t// angles are in radians\n\n\tconst cos = Math.cos;\n\tconst sin = Math.sin;\n\n\tconst c2 = cos( b / 2 );\n\tconst s2 = sin( b / 2 );\n\n\tconst c13 = cos( ( a + c ) / 2 );\n\tconst s13 = sin( ( a + c ) / 2 );\n\n\tconst c1_3 = cos( ( a - c ) / 2 );\n\tconst s1_3 = sin( ( a - c ) / 2 );\n\n\tconst c3_1 = cos( ( c - a ) / 2 );\n\tconst s3_1 = sin( ( c - a ) / 2 );\n\n\tswitch ( order ) {\n\n\t\tcase 'XYX':\n\t\t\tq.set( c2 * s13, s2 * c1_3, s2 * s1_3, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'YZY':\n\t\t\tq.set( s2 * s1_3, c2 * s13, s2 * c1_3, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'ZXZ':\n\t\t\tq.set( s2 * c1_3, s2 * s1_3, c2 * s13, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'XZX':\n\t\t\tq.set( c2 * s13, s2 * s3_1, s2 * c3_1, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'YXY':\n\t\t\tq.set( s2 * c3_1, c2 * s13, s2 * s3_1, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'ZYZ':\n\t\t\tq.set( s2 * s3_1, s2 * c3_1, c2 * s13, c2 * c13 );\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order: ' + order );\n\n\t}\n\n}\n\nfunction denormalize( value, array ) {\n\n\tswitch ( array.constructor ) {\n\n\t\tcase Float32Array:\n\n\t\t\treturn value;\n\n\t\tcase Uint32Array:\n\n\t\t\treturn value / 4294967295.0;\n\n\t\tcase Uint16Array:\n\n\t\t\treturn value / 65535.0;\n\n\t\tcase Uint8Array:\n\n\t\t\treturn value / 255.0;\n\n\t\tcase Int32Array:\n\n\t\t\treturn Math.max( value / 2147483647.0, - 1.0 );\n\n\t\tcase Int16Array:\n\n\t\t\treturn Math.max( value / 32767.0, - 1.0 );\n\n\t\tcase Int8Array:\n\n\t\t\treturn Math.max( value / 127.0, - 1.0 );\n\n\t\tdefault:\n\n\t\t\tthrow new Error( 'Invalid component type.' );\n\n\t}\n\n}\n\nfunction normalize( value, array ) {\n\n\tswitch ( array.constructor ) {\n\n\t\tcase Float32Array:\n\n\t\t\treturn value;\n\n\t\tcase Uint32Array:\n\n\t\t\treturn Math.round( value * 4294967295.0 );\n\n\t\tcase Uint16Array:\n\n\t\t\treturn Math.round( value * 65535.0 );\n\n\t\tcase Uint8Array:\n\n\t\t\treturn Math.round( value * 255.0 );\n\n\t\tcase Int32Array:\n\n\t\t\treturn Math.round( value * 2147483647.0 );\n\n\t\tcase Int16Array:\n\n\t\t\treturn Math.round( value * 32767.0 );\n\n\t\tcase Int8Array:\n\n\t\t\treturn Math.round( value * 127.0 );\n\n\t\tdefault:\n\n\t\t\tthrow new Error( 'Invalid component type.' );\n\n\t}\n\n}\n\nconst MathUtils = {\n\tDEG2RAD: DEG2RAD,\n\tRAD2DEG: RAD2DEG,\n\tgenerateUUID: generateUUID,\n\tclamp: clamp,\n\teuclideanModulo: euclideanModulo,\n\tmapLinear: mapLinear,\n\tinverseLerp: inverseLerp,\n\tlerp: lerp,\n\tdamp: damp,\n\tpingpong: pingpong,\n\tsmoothstep: smoothstep,\n\tsmootherstep: smootherstep,\n\trandInt: randInt,\n\trandFloat: randFloat,\n\trandFloatSpread: randFloatSpread,\n\tseededRandom: seededRandom,\n\tdegToRad: degToRad,\n\tradToDeg: radToDeg,\n\tisPowerOfTwo: isPowerOfTwo,\n\tceilPowerOfTwo: ceilPowerOfTwo,\n\tfloorPowerOfTwo: floorPowerOfTwo,\n\tsetQuaternionFromProperEuler: setQuaternionFromProperEuler,\n\tnormalize: normalize,\n\tdenormalize: denormalize\n};\n\nclass Vector2 {\n\n\tconstructor( x = 0, y = 0 ) {\n\n\t\tVector2.prototype.isVector2 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\n\t}\n\n\tget width() {\n\n\t\treturn this.x;\n\n\t}\n\n\tset width( value ) {\n\n\t\tthis.x = value;\n\n\t}\n\n\tget height() {\n\n\t\treturn this.y;\n\n\t}\n\n\tset height( value ) {\n\n\t\tthis.y = value;\n\n\t}\n\n\tset( x, y ) {\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tdivide( v ) {\n\n\t\tthis.x /= v.x;\n\t\tthis.y /= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst x = this.x, y = this.y;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 3 ] * y + e[ 6 ];\n\t\tthis.y = e[ 1 ] * x + e[ 4 ] * y + e[ 7 ];\n\n\t\treturn this;\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y;\n\n\t}\n\n\tcross( v ) {\n\n\t\treturn this.x * v.y - this.y * v.x;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tangle() {\n\n\t\t// computes the angle in radians with respect to the positive x-axis\n\n\t\tconst angle = Math.atan2( - this.y, - this.x ) + Math.PI;\n\n\t\treturn angle;\n\n\t}\n\n\tangleTo( v ) {\n\n\t\tconst denominator = Math.sqrt( this.lengthSq() * v.lengthSq() );\n\n\t\tif ( denominator === 0 ) return Math.PI / 2;\n\n\t\tconst theta = this.dot( v ) / denominator;\n\n\t\t// clamp, to handle numerical problems\n\n\t\treturn Math.acos( clamp( theta, - 1, 1 ) );\n\n\t}\n\n\tdistanceTo( v ) {\n\n\t\treturn Math.sqrt( this.distanceToSquared( v ) );\n\n\t}\n\n\tdistanceToSquared( v ) {\n\n\t\tconst dx = this.x - v.x, dy = this.y - v.y;\n\t\treturn dx * dx + dy * dy;\n\n\t}\n\n\tmanhattanDistanceTo( v ) {\n\n\t\treturn Math.abs( this.x - v.x ) + Math.abs( this.y - v.y );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\n\t\treturn this;\n\n\t}\n\n\trotateAround( center, angle ) {\n\n\t\tconst c = Math.cos( angle ), s = Math.sin( angle );\n\n\t\tconst x = this.x - center.x;\n\t\tconst y = this.y - center.y;\n\n\t\tthis.x = x * c - y * s + center.x;\n\t\tthis.y = x * s + y * c + center.y;\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\n\t}\n\n}\n\nclass Matrix3 {\n\n\tconstructor( n11, n12, n13, n21, n22, n23, n31, n32, n33 ) {\n\n\t\tMatrix3.prototype.isMatrix3 = true;\n\n\t\tthis.elements = [\n\n\t\t\t1, 0, 0,\n\t\t\t0, 1, 0,\n\t\t\t0, 0, 1\n\n\t\t];\n\n\t\tif ( n11 !== undefined ) {\n\n\t\t\tthis.set( n11, n12, n13, n21, n22, n23, n31, n32, n33 );\n\n\t\t}\n\n\t}\n\n\tset( n11, n12, n13, n21, n22, n23, n31, n32, n33 ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] = n11; te[ 1 ] = n21; te[ 2 ] = n31;\n\t\tte[ 3 ] = n12; te[ 4 ] = n22; te[ 5 ] = n32;\n\t\tte[ 6 ] = n13; te[ 7 ] = n23; te[ 8 ] = n33;\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0,\n\t\t\t0, 1, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tcopy( m ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tte[ 0 ] = me[ 0 ]; te[ 1 ] = me[ 1 ]; te[ 2 ] = me[ 2 ];\n\t\tte[ 3 ] = me[ 3 ]; te[ 4 ] = me[ 4 ]; te[ 5 ] = me[ 5 ];\n\t\tte[ 6 ] = me[ 6 ]; te[ 7 ] = me[ 7 ]; te[ 8 ] = me[ 8 ];\n\n\t\treturn this;\n\n\t}\n\n\textractBasis( xAxis, yAxis, zAxis ) {\n\n\t\txAxis.setFromMatrix3Column( this, 0 );\n\t\tyAxis.setFromMatrix3Column( this, 1 );\n\t\tzAxis.setFromMatrix3Column( this, 2 );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrix4( m ) {\n\n\t\tconst me = m.elements;\n\n\t\tthis.set(\n\n\t\t\tme[ 0 ], me[ 4 ], me[ 8 ],\n\t\t\tme[ 1 ], me[ 5 ], me[ 9 ],\n\t\t\tme[ 2 ], me[ 6 ], me[ 10 ]\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( m ) {\n\n\t\treturn this.multiplyMatrices( this, m );\n\n\t}\n\n\tpremultiply( m ) {\n\n\t\treturn this.multiplyMatrices( m, this );\n\n\t}\n\n\tmultiplyMatrices( a, b ) {\n\n\t\tconst ae = a.elements;\n\t\tconst be = b.elements;\n\t\tconst te = this.elements;\n\n\t\tconst a11 = ae[ 0 ], a12 = ae[ 3 ], a13 = ae[ 6 ];\n\t\tconst a21 = ae[ 1 ], a22 = ae[ 4 ], a23 = ae[ 7 ];\n\t\tconst a31 = ae[ 2 ], a32 = ae[ 5 ], a33 = ae[ 8 ];\n\n\t\tconst b11 = be[ 0 ], b12 = be[ 3 ], b13 = be[ 6 ];\n\t\tconst b21 = be[ 1 ], b22 = be[ 4 ], b23 = be[ 7 ];\n\t\tconst b31 = be[ 2 ], b32 = be[ 5 ], b33 = be[ 8 ];\n\n\t\tte[ 0 ] = a11 * b11 + a12 * b21 + a13 * b31;\n\t\tte[ 3 ] = a11 * b12 + a12 * b22 + a13 * b32;\n\t\tte[ 6 ] = a11 * b13 + a12 * b23 + a13 * b33;\n\n\t\tte[ 1 ] = a21 * b11 + a22 * b21 + a23 * b31;\n\t\tte[ 4 ] = a21 * b12 + a22 * b22 + a23 * b32;\n\t\tte[ 7 ] = a21 * b13 + a22 * b23 + a23 * b33;\n\n\t\tte[ 2 ] = a31 * b11 + a32 * b21 + a33 * b31;\n\t\tte[ 5 ] = a31 * b12 + a32 * b22 + a33 * b32;\n\t\tte[ 8 ] = a31 * b13 + a32 * b23 + a33 * b33;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] *= s; te[ 3 ] *= s; te[ 6 ] *= s;\n\t\tte[ 1 ] *= s; te[ 4 ] *= s; te[ 7 ] *= s;\n\t\tte[ 2 ] *= s; te[ 5 ] *= s; te[ 8 ] *= s;\n\n\t\treturn this;\n\n\t}\n\n\tdeterminant() {\n\n\t\tconst te = this.elements;\n\n\t\tconst a = te[ 0 ], b = te[ 1 ], c = te[ 2 ],\n\t\t\td = te[ 3 ], e = te[ 4 ], f = te[ 5 ],\n\t\t\tg = te[ 6 ], h = te[ 7 ], i = te[ 8 ];\n\n\t\treturn a * e * i - a * f * h - b * d * i + b * f * g + c * d * h - c * e * g;\n\n\t}\n\n\tinvert() {\n\n\t\tconst te = this.elements,\n\n\t\t\tn11 = te[ 0 ], n21 = te[ 1 ], n31 = te[ 2 ],\n\t\t\tn12 = te[ 3 ], n22 = te[ 4 ], n32 = te[ 5 ],\n\t\t\tn13 = te[ 6 ], n23 = te[ 7 ], n33 = te[ 8 ],\n\n\t\t\tt11 = n33 * n22 - n32 * n23,\n\t\t\tt12 = n32 * n13 - n33 * n12,\n\t\t\tt13 = n23 * n12 - n22 * n13,\n\n\t\t\tdet = n11 * t11 + n21 * t12 + n31 * t13;\n\n\t\tif ( det === 0 ) return this.set( 0, 0, 0, 0, 0, 0, 0, 0, 0 );\n\n\t\tconst detInv = 1 / det;\n\n\t\tte[ 0 ] = t11 * detInv;\n\t\tte[ 1 ] = ( n31 * n23 - n33 * n21 ) * detInv;\n\t\tte[ 2 ] = ( n32 * n21 - n31 * n22 ) * detInv;\n\n\t\tte[ 3 ] = t12 * detInv;\n\t\tte[ 4 ] = ( n33 * n11 - n31 * n13 ) * detInv;\n\t\tte[ 5 ] = ( n31 * n12 - n32 * n11 ) * detInv;\n\n\t\tte[ 6 ] = t13 * detInv;\n\t\tte[ 7 ] = ( n21 * n13 - n23 * n11 ) * detInv;\n\t\tte[ 8 ] = ( n22 * n11 - n21 * n12 ) * detInv;\n\n\t\treturn this;\n\n\t}\n\n\ttranspose() {\n\n\t\tlet tmp;\n\t\tconst m = this.elements;\n\n\t\ttmp = m[ 1 ]; m[ 1 ] = m[ 3 ]; m[ 3 ] = tmp;\n\t\ttmp = m[ 2 ]; m[ 2 ] = m[ 6 ]; m[ 6 ] = tmp;\n\t\ttmp = m[ 5 ]; m[ 5 ] = m[ 7 ]; m[ 7 ] = tmp;\n\n\t\treturn this;\n\n\t}\n\n\tgetNormalMatrix( matrix4 ) {\n\n\t\treturn this.setFromMatrix4( matrix4 ).invert().transpose();\n\n\t}\n\n\ttransposeIntoArray( r ) {\n\n\t\tconst m = this.elements;\n\n\t\tr[ 0 ] = m[ 0 ];\n\t\tr[ 1 ] = m[ 3 ];\n\t\tr[ 2 ] = m[ 6 ];\n\t\tr[ 3 ] = m[ 1 ];\n\t\tr[ 4 ] = m[ 4 ];\n\t\tr[ 5 ] = m[ 7 ];\n\t\tr[ 6 ] = m[ 2 ];\n\t\tr[ 7 ] = m[ 5 ];\n\t\tr[ 8 ] = m[ 8 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetUvTransform( tx, ty, sx, sy, rotation, cx, cy ) {\n\n\t\tconst c = Math.cos( rotation );\n\t\tconst s = Math.sin( rotation );\n\n\t\tthis.set(\n\t\t\tsx * c, sx * s, - sx * ( c * cx + s * cy ) + cx + tx,\n\t\t\t- sy * s, sy * c, - sy * ( - s * cx + c * cy ) + cy + ty,\n\t\t\t0, 0, 1\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\t//\n\n\tscale( sx, sy ) {\n\n\t\tthis.premultiply( _m3.makeScale( sx, sy ) );\n\n\t\treturn this;\n\n\t}\n\n\trotate( theta ) {\n\n\t\tthis.premultiply( _m3.makeRotation( - theta ) );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( tx, ty ) {\n\n\t\tthis.premultiply( _m3.makeTranslation( tx, ty ) );\n\n\t\treturn this;\n\n\t}\n\n\t// for 2D Transforms\n\n\tmakeTranslation( x, y ) {\n\n\t\tif ( x.isVector2 ) {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, x.x,\n\t\t\t\t0, 1, x.y,\n\t\t\t\t0, 0, 1\n\n\t\t\t);\n\n\t\t} else {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, x,\n\t\t\t\t0, 1, y,\n\t\t\t\t0, 0, 1\n\n\t\t\t);\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotation( theta ) {\n\n\t\t// counterclockwise\n\n\t\tconst c = Math.cos( theta );\n\t\tconst s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\tc, - s, 0,\n\t\t\ts, c, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeScale( x, y ) {\n\n\t\tthis.set(\n\n\t\t\tx, 0, 0,\n\t\t\t0, y, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\t//\n\n\tequals( matrix ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = matrix.elements;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tif ( te[ i ] !== me[ i ] ) return false;\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.elements[ i ] = array[ i + offset ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst te = this.elements;\n\n\t\tarray[ offset ] = te[ 0 ];\n\t\tarray[ offset + 1 ] = te[ 1 ];\n\t\tarray[ offset + 2 ] = te[ 2 ];\n\n\t\tarray[ offset + 3 ] = te[ 3 ];\n\t\tarray[ offset + 4 ] = te[ 4 ];\n\t\tarray[ offset + 5 ] = te[ 5 ];\n\n\t\tarray[ offset + 6 ] = te[ 6 ];\n\t\tarray[ offset + 7 ] = te[ 7 ];\n\t\tarray[ offset + 8 ] = te[ 8 ];\n\n\t\treturn array;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().fromArray( this.elements );\n\n\t}\n\n}\n\nconst _m3 = /*@__PURE__*/ new Matrix3();\n\nfunction arrayNeedsUint32( array ) {\n\n\t// assumes larger values usually on last\n\n\tfor ( let i = array.length - 1; i >= 0; -- i ) {\n\n\t\tif ( array[ i ] >= 65535 ) return true; // account for PRIMITIVE_RESTART_FIXED_INDEX, #24565\n\n\t}\n\n\treturn false;\n\n}\n\nconst TYPED_ARRAYS = {\n\tInt8Array: Int8Array,\n\tUint8Array: Uint8Array,\n\tUint8ClampedArray: Uint8ClampedArray,\n\tInt16Array: Int16Array,\n\tUint16Array: Uint16Array,\n\tInt32Array: Int32Array,\n\tUint32Array: Uint32Array,\n\tFloat32Array: Float32Array,\n\tFloat64Array: Float64Array\n};\n\nfunction getTypedArray( type, buffer ) {\n\n\treturn new TYPED_ARRAYS[ type ]( buffer );\n\n}\n\nfunction createElementNS( name ) {\n\n\treturn document.createElementNS( 'http://www.w3.org/1999/xhtml', name );\n\n}\n\nfunction createCanvasElement() {\n\n\tconst canvas = createElementNS( 'canvas' );\n\tcanvas.style.display = 'block';\n\treturn canvas;\n\n}\n\nconst _cache = {};\n\nfunction warnOnce( message ) {\n\n\tif ( message in _cache ) return;\n\n\t_cache[ message ] = true;\n\n\tconsole.warn( message );\n\n}\n\n/**\n * Matrices converting P3 <-> Rec. 709 primaries, without gamut mapping\n * or clipping. Based on W3C specifications for sRGB and Display P3,\n * and ICC specifications for the D50 connection space. Values in/out\n * are _linear_ sRGB and _linear_ Display P3.\n *\n * Note that both sRGB and Display P3 use the sRGB transfer functions.\n *\n * Reference:\n * - http://www.russellcottrell.com/photo/matrixCalculator.htm\n */\n\nconst LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = /*@__PURE__*/ new Matrix3().set(\n\t0.8224621, 0.177538, 0.0,\n\t0.0331941, 0.9668058, 0.0,\n\t0.0170827, 0.0723974, 0.9105199,\n);\n\nconst LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = /*@__PURE__*/ new Matrix3().set(\n\t1.2249401, - 0.2249404, 0.0,\n\t- 0.0420569, 1.0420571, 0.0,\n\t- 0.0196376, - 0.0786361, 1.0982735\n);\n\n/**\n * Defines supported color spaces by transfer function and primaries,\n * and provides conversions to/from the Linear-sRGB reference space.\n */\nconst COLOR_SPACES = {\n\t[ LinearSRGBColorSpace ]: {\n\t\ttransfer: LinearTransfer,\n\t\tprimaries: Rec709Primaries,\n\t\ttoReference: ( color ) => color,\n\t\tfromReference: ( color ) => color,\n\t},\n\t[ SRGBColorSpace ]: {\n\t\ttransfer: SRGBTransfer,\n\t\tprimaries: Rec709Primaries,\n\t\ttoReference: ( color ) => color.convertSRGBToLinear(),\n\t\tfromReference: ( color ) => color.convertLinearToSRGB(),\n\t},\n\t[ LinearDisplayP3ColorSpace ]: {\n\t\ttransfer: LinearTransfer,\n\t\tprimaries: P3Primaries,\n\t\ttoReference: ( color ) => color.applyMatrix3( LINEAR_DISPLAY_P3_TO_LINEAR_SRGB ),\n\t\tfromReference: ( color ) => color.applyMatrix3( LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 ),\n\t},\n\t[ DisplayP3ColorSpace ]: {\n\t\ttransfer: SRGBTransfer,\n\t\tprimaries: P3Primaries,\n\t\ttoReference: ( color ) => color.convertSRGBToLinear().applyMatrix3( LINEAR_DISPLAY_P3_TO_LINEAR_SRGB ),\n\t\tfromReference: ( color ) => color.applyMatrix3( LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 ).convertLinearToSRGB(),\n\t},\n};\n\nconst SUPPORTED_WORKING_COLOR_SPACES = new Set( [ LinearSRGBColorSpace, LinearDisplayP3ColorSpace ] );\n\nconst ColorManagement = {\n\n\tenabled: true,\n\n\t_workingColorSpace: LinearSRGBColorSpace,\n\n\tget workingColorSpace() {\n\n\t\treturn this._workingColorSpace;\n\n\t},\n\n\tset workingColorSpace( colorSpace ) {\n\n\t\tif ( ! SUPPORTED_WORKING_COLOR_SPACES.has( colorSpace ) ) {\n\n\t\t\tthrow new Error( `Unsupported working color space, \"${ colorSpace }\".` );\n\n\t\t}\n\n\t\tthis._workingColorSpace = colorSpace;\n\n\t},\n\n\tconvert: function ( color, sourceColorSpace, targetColorSpace ) {\n\n\t\tif ( this.enabled === false || sourceColorSpace === targetColorSpace || ! sourceColorSpace || ! targetColorSpace ) {\n\n\t\t\treturn color;\n\n\t\t}\n\n\t\tconst sourceToReference = COLOR_SPACES[ sourceColorSpace ].toReference;\n\t\tconst targetFromReference = COLOR_SPACES[ targetColorSpace ].fromReference;\n\n\t\treturn targetFromReference( sourceToReference( color ) );\n\n\t},\n\n\tfromWorkingColorSpace: function ( color, targetColorSpace ) {\n\n\t\treturn this.convert( color, this._workingColorSpace, targetColorSpace );\n\n\t},\n\n\ttoWorkingColorSpace: function ( color, sourceColorSpace ) {\n\n\t\treturn this.convert( color, sourceColorSpace, this._workingColorSpace );\n\n\t},\n\n\tgetPrimaries: function ( colorSpace ) {\n\n\t\treturn COLOR_SPACES[ colorSpace ].primaries;\n\n\t},\n\n\tgetTransfer: function ( colorSpace ) {\n\n\t\tif ( colorSpace === NoColorSpace ) return LinearTransfer;\n\n\t\treturn COLOR_SPACES[ colorSpace ].transfer;\n\n\t},\n\n};\n\n\nfunction SRGBToLinear( c ) {\n\n\treturn ( c < 0.04045 ) ? c * 0.0773993808 : Math.pow( c * 0.9478672986 + 0.0521327014, 2.4 );\n\n}\n\nfunction LinearToSRGB( c ) {\n\n\treturn ( c < 0.0031308 ) ? c * 12.92 : 1.055 * ( Math.pow( c, 0.41666 ) ) - 0.055;\n\n}\n\nlet _canvas;\n\nclass ImageUtils {\n\n\tstatic getDataURL( image ) {\n\n\t\tif ( /^data:/i.test( image.src ) ) {\n\n\t\t\treturn image.src;\n\n\t\t}\n\n\t\tif ( typeof HTMLCanvasElement === 'undefined' ) {\n\n\t\t\treturn image.src;\n\n\t\t}\n\n\t\tlet canvas;\n\n\t\tif ( image instanceof HTMLCanvasElement ) {\n\n\t\t\tcanvas = image;\n\n\t\t} else {\n\n\t\t\tif ( _canvas === undefined ) _canvas = createElementNS( 'canvas' );\n\n\t\t\t_canvas.width = image.width;\n\t\t\t_canvas.height = image.height;\n\n\t\t\tconst context = _canvas.getContext( '2d' );\n\n\t\t\tif ( image instanceof ImageData ) {\n\n\t\t\t\tcontext.putImageData( image, 0, 0 );\n\n\t\t\t} else {\n\n\t\t\t\tcontext.drawImage( image, 0, 0, image.width, image.height );\n\n\t\t\t}\n\n\t\t\tcanvas = _canvas;\n\n\t\t}\n\n\t\tif ( canvas.width > 2048 || canvas.height > 2048 ) {\n\n\t\t\tconsole.warn( 'THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons', image );\n\n\t\t\treturn canvas.toDataURL( 'image/jpeg', 0.6 );\n\n\t\t} else {\n\n\t\t\treturn canvas.toDataURL( 'image/png' );\n\n\t\t}\n\n\t}\n\n\tstatic sRGBToLinear( image ) {\n\n\t\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t\tconst canvas = createElementNS( 'canvas' );\n\n\t\t\tcanvas.width = image.width;\n\t\t\tcanvas.height = image.height;\n\n\t\t\tconst context = canvas.getContext( '2d' );\n\t\t\tcontext.drawImage( image, 0, 0, image.width, image.height );\n\n\t\t\tconst imageData = context.getImageData( 0, 0, image.width, image.height );\n\t\t\tconst data = imageData.data;\n\n\t\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\t\tdata[ i ] = SRGBToLinear( data[ i ] / 255 ) * 255;\n\n\t\t\t}\n\n\t\t\tcontext.putImageData( imageData, 0, 0 );\n\n\t\t\treturn canvas;\n\n\t\t} else if ( image.data ) {\n\n\t\t\tconst data = image.data.slice( 0 );\n\n\t\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\t\tif ( data instanceof Uint8Array || data instanceof Uint8ClampedArray ) {\n\n\t\t\t\t\tdata[ i ] = Math.floor( SRGBToLinear( data[ i ] / 255 ) * 255 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// assuming float\n\n\t\t\t\t\tdata[ i ] = SRGBToLinear( data[ i ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tdata: data,\n\t\t\t\twidth: image.width,\n\t\t\t\theight: image.height\n\t\t\t};\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied.' );\n\t\t\treturn image;\n\n\t\t}\n\n\t}\n\n}\n\nlet _sourceId = 0;\n\nclass Source {\n\n\tconstructor( data = null ) {\n\n\t\tthis.isSource = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _sourceId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.data = data;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( ! isRootObject && meta.images[ this.uuid ] !== undefined ) {\n\n\t\t\treturn meta.images[ this.uuid ];\n\n\t\t}\n\n\t\tconst output = {\n\t\t\tuuid: this.uuid,\n\t\t\turl: ''\n\t\t};\n\n\t\tconst data = this.data;\n\n\t\tif ( data !== null ) {\n\n\t\t\tlet url;\n\n\t\t\tif ( Array.isArray( data ) ) {\n\n\t\t\t\t// cube texture\n\n\t\t\t\turl = [];\n\n\t\t\t\tfor ( let i = 0, l = data.length; i < l; i ++ ) {\n\n\t\t\t\t\tif ( data[ i ].isDataTexture ) {\n\n\t\t\t\t\t\turl.push( serializeImage( data[ i ].image ) );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\turl.push( serializeImage( data[ i ] ) );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// texture\n\n\t\t\t\turl = serializeImage( data );\n\n\t\t\t}\n\n\t\t\toutput.url = url;\n\n\t\t}\n\n\t\tif ( ! isRootObject ) {\n\n\t\t\tmeta.images[ this.uuid ] = output;\n\n\t\t}\n\n\t\treturn output;\n\n\t}\n\n}\n\nfunction serializeImage( image ) {\n\n\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t// default images\n\n\t\treturn ImageUtils.getDataURL( image );\n\n\t} else {\n\n\t\tif ( image.data ) {\n\n\t\t\t// images of DataTexture\n\n\t\t\treturn {\n\t\t\t\tdata: Array.from( image.data ),\n\t\t\t\twidth: image.width,\n\t\t\t\theight: image.height,\n\t\t\t\ttype: image.data.constructor.name\n\t\t\t};\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.Texture: Unable to serialize Texture.' );\n\t\t\treturn {};\n\n\t\t}\n\n\t}\n\n}\n\nlet _textureId = 0;\n\nclass Texture extends EventDispatcher {\n\n\tconstructor( image = Texture.DEFAULT_IMAGE, mapping = Texture.DEFAULT_MAPPING, wrapS = ClampToEdgeWrapping, wrapT = ClampToEdgeWrapping, magFilter = LinearFilter, minFilter = LinearMipmapLinearFilter, format = RGBAFormat, type = UnsignedByteType, anisotropy = Texture.DEFAULT_ANISOTROPY, colorSpace = NoColorSpace ) {\n\n\t\tsuper();\n\n\t\tthis.isTexture = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _textureId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\n\t\tthis.source = new Source( image );\n\t\tthis.mipmaps = [];\n\n\t\tthis.mapping = mapping;\n\t\tthis.channel = 0;\n\n\t\tthis.wrapS = wrapS;\n\t\tthis.wrapT = wrapT;\n\n\t\tthis.magFilter = magFilter;\n\t\tthis.minFilter = minFilter;\n\n\t\tthis.anisotropy = anisotropy;\n\n\t\tthis.format = format;\n\t\tthis.internalFormat = null;\n\t\tthis.type = type;\n\n\t\tthis.offset = new Vector2( 0, 0 );\n\t\tthis.repeat = new Vector2( 1, 1 );\n\t\tthis.center = new Vector2( 0, 0 );\n\t\tthis.rotation = 0;\n\n\t\tthis.matrixAutoUpdate = true;\n\t\tthis.matrix = new Matrix3();\n\n\t\tthis.generateMipmaps = true;\n\t\tthis.premultiplyAlpha = false;\n\t\tthis.flipY = true;\n\t\tthis.unpackAlignment = 4;\t// valid values: 1, 2, 4, 8 (see http://www.khronos.org/opengles/sdk/docs/man/xhtml/glPixelStorei.xml)\n\n\t\tif ( typeof colorSpace === 'string' ) {\n\n\t\t\tthis.colorSpace = colorSpace;\n\n\t\t} else { // @deprecated, r152\n\n\t\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\t\tthis.colorSpace = colorSpace === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\n\t\tthis.userData = {};\n\n\t\tthis.version = 0;\n\t\tthis.onUpdate = null;\n\n\t\tthis.isRenderTargetTexture = false; // indicates whether a texture belongs to a render target or not\n\t\tthis.needsPMREMUpdate = false; // indicates whether this texture should be processed by PMREMGenerator or not (only relevant for render target textures)\n\n\t}\n\n\tget image() {\n\n\t\treturn this.source.data;\n\n\t}\n\n\tset image( value = null ) {\n\n\t\tthis.source.data = value;\n\n\t}\n\n\tupdateMatrix() {\n\n\t\tthis.matrix.setUvTransform( this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.source = source.source;\n\t\tthis.mipmaps = source.mipmaps.slice( 0 );\n\n\t\tthis.mapping = source.mapping;\n\t\tthis.channel = source.channel;\n\n\t\tthis.wrapS = source.wrapS;\n\t\tthis.wrapT = source.wrapT;\n\n\t\tthis.magFilter = source.magFilter;\n\t\tthis.minFilter = source.minFilter;\n\n\t\tthis.anisotropy = source.anisotropy;\n\n\t\tthis.format = source.format;\n\t\tthis.internalFormat = source.internalFormat;\n\t\tthis.type = source.type;\n\n\t\tthis.offset.copy( source.offset );\n\t\tthis.repeat.copy( source.repeat );\n\t\tthis.center.copy( source.center );\n\t\tthis.rotation = source.rotation;\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\t\tthis.matrix.copy( source.matrix );\n\n\t\tthis.generateMipmaps = source.generateMipmaps;\n\t\tthis.premultiplyAlpha = source.premultiplyAlpha;\n\t\tthis.flipY = source.flipY;\n\t\tthis.unpackAlignment = source.unpackAlignment;\n\t\tthis.colorSpace = source.colorSpace;\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\tthis.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( ! isRootObject && meta.textures[ this.uuid ] !== undefined ) {\n\n\t\t\treturn meta.textures[ this.uuid ];\n\n\t\t}\n\n\t\tconst output = {\n\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Texture',\n\t\t\t\tgenerator: 'Texture.toJSON'\n\t\t\t},\n\n\t\t\tuuid: this.uuid,\n\t\t\tname: this.name,\n\n\t\t\timage: this.source.toJSON( meta ).uuid,\n\n\t\t\tmapping: this.mapping,\n\t\t\tchannel: this.channel,\n\n\t\t\trepeat: [ this.repeat.x, this.repeat.y ],\n\t\t\toffset: [ this.offset.x, this.offset.y ],\n\t\t\tcenter: [ this.center.x, this.center.y ],\n\t\t\trotation: this.rotation,\n\n\t\t\twrap: [ this.wrapS, this.wrapT ],\n\n\t\t\tformat: this.format,\n\t\t\tinternalFormat: this.internalFormat,\n\t\t\ttype: this.type,\n\t\t\tcolorSpace: this.colorSpace,\n\n\t\t\tminFilter: this.minFilter,\n\t\t\tmagFilter: this.magFilter,\n\t\t\tanisotropy: this.anisotropy,\n\n\t\t\tflipY: this.flipY,\n\n\t\t\tgenerateMipmaps: this.generateMipmaps,\n\t\t\tpremultiplyAlpha: this.premultiplyAlpha,\n\t\t\tunpackAlignment: this.unpackAlignment\n\n\t\t};\n\n\t\tif ( Object.keys( this.userData ).length > 0 ) output.userData = this.userData;\n\n\t\tif ( ! isRootObject ) {\n\n\t\t\tmeta.textures[ this.uuid ] = output;\n\n\t\t}\n\n\t\treturn output;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n\ttransformUv( uv ) {\n\n\t\tif ( this.mapping !== UVMapping ) return uv;\n\n\t\tuv.applyMatrix3( this.matrix );\n\n\t\tif ( uv.x < 0 || uv.x > 1 ) {\n\n\t\t\tswitch ( this.wrapS ) {\n\n\t\t\t\tcase RepeatWrapping:\n\n\t\t\t\t\tuv.x = uv.x - Math.floor( uv.x );\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ClampToEdgeWrapping:\n\n\t\t\t\t\tuv.x = uv.x < 0 ? 0 : 1;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MirroredRepeatWrapping:\n\n\t\t\t\t\tif ( Math.abs( Math.floor( uv.x ) % 2 ) === 1 ) {\n\n\t\t\t\t\t\tuv.x = Math.ceil( uv.x ) - uv.x;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tuv.x = uv.x - Math.floor( uv.x );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( uv.y < 0 || uv.y > 1 ) {\n\n\t\t\tswitch ( this.wrapT ) {\n\n\t\t\t\tcase RepeatWrapping:\n\n\t\t\t\t\tuv.y = uv.y - Math.floor( uv.y );\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ClampToEdgeWrapping:\n\n\t\t\t\t\tuv.y = uv.y < 0 ? 0 : 1;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MirroredRepeatWrapping:\n\n\t\t\t\t\tif ( Math.abs( Math.floor( uv.y ) % 2 ) === 1 ) {\n\n\t\t\t\t\t\tuv.y = Math.ceil( uv.y ) - uv.y;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tuv.y = uv.y - Math.floor( uv.y );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.flipY ) {\n\n\t\t\tuv.y = 1 - uv.y;\n\n\t\t}\n\n\t\treturn uv;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) {\n\n\t\t\tthis.version ++;\n\t\t\tthis.source.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tget encoding() { // @deprecated, r152\n\n\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\treturn this.colorSpace === SRGBColorSpace ? sRGBEncoding : LinearEncoding;\n\n\t}\n\n\tset encoding( encoding ) { // @deprecated, r152\n\n\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\tthis.colorSpace = encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t}\n\n}\n\nTexture.DEFAULT_IMAGE = null;\nTexture.DEFAULT_MAPPING = UVMapping;\nTexture.DEFAULT_ANISOTROPY = 1;\n\nclass Vector4 {\n\n\tconstructor( x = 0, y = 0, z = 0, w = 1 ) {\n\n\t\tVector4.prototype.isVector4 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\t\tthis.w = w;\n\n\t}\n\n\tget width() {\n\n\t\treturn this.z;\n\n\t}\n\n\tset width( value ) {\n\n\t\tthis.z = value;\n\n\t}\n\n\tget height() {\n\n\t\treturn this.w;\n\n\t}\n\n\tset height( value ) {\n\n\t\tthis.w = value;\n\n\t}\n\n\tset( x, y, z, w ) {\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\t\tthis.w = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\t\tthis.z = scalar;\n\t\tthis.w = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( z ) {\n\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetW( w ) {\n\n\t\tthis.w = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tcase 2: this.z = value; break;\n\t\t\tcase 3: this.w = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tcase 2: return this.z;\n\t\t\tcase 3: return this.w;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y, this.z, this.w );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\t\tthis.z = v.z;\n\t\tthis.w = ( v.w !== undefined ) ? v.w : 1;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\t\tthis.z += v.z;\n\t\tthis.w += v.w;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\t\tthis.z += s;\n\t\tthis.w += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\t\tthis.z = a.z + b.z;\n\t\tthis.w = a.w + b.w;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\t\tthis.z += v.z * s;\n\t\tthis.w += v.w * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\t\tthis.z -= v.z;\n\t\tthis.w -= v.w;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\t\tthis.z -= s;\n\t\tthis.w -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\t\tthis.z = a.z - b.z;\n\t\tthis.w = a.w - b.w;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\t\tthis.z *= v.z;\n\t\tthis.w *= v.w;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\t\tthis.z *= scalar;\n\t\tthis.w *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z, w = this.w;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z + e[ 12 ] * w;\n\t\tthis.y = e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z + e[ 13 ] * w;\n\t\tthis.z = e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z + e[ 14 ] * w;\n\t\tthis.w = e[ 3 ] * x + e[ 7 ] * y + e[ 11 ] * z + e[ 15 ] * w;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tsetAxisAngleFromQuaternion( q ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/quaternionToAngle/index.htm\n\n\t\t// q is assumed to be normalized\n\n\t\tthis.w = 2 * Math.acos( q.w );\n\n\t\tconst s = Math.sqrt( 1 - q.w * q.w );\n\n\t\tif ( s < 0.0001 ) {\n\n\t\t\tthis.x = 1;\n\t\t\tthis.y = 0;\n\t\t\tthis.z = 0;\n\n\t\t} else {\n\n\t\t\tthis.x = q.x / s;\n\t\t\tthis.y = q.y / s;\n\t\t\tthis.z = q.z / s;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetAxisAngleFromRotationMatrix( m ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToAngle/index.htm\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tlet angle, x, y, z; // variables for result\n\t\tconst epsilon = 0.01,\t\t// margin to allow for rounding errors\n\t\t\tepsilon2 = 0.1,\t\t// margin to distinguish between 0 and 180 degrees\n\n\t\t\tte = m.elements,\n\n\t\t\tm11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ],\n\t\t\tm21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ],\n\t\t\tm31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ];\n\n\t\tif ( ( Math.abs( m12 - m21 ) < epsilon ) &&\n\t\t ( Math.abs( m13 - m31 ) < epsilon ) &&\n\t\t ( Math.abs( m23 - m32 ) < epsilon ) ) {\n\n\t\t\t// singularity found\n\t\t\t// first check for identity matrix which must have +1 for all terms\n\t\t\t// in leading diagonal and zero in other terms\n\n\t\t\tif ( ( Math.abs( m12 + m21 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m13 + m31 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m23 + m32 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m11 + m22 + m33 - 3 ) < epsilon2 ) ) {\n\n\t\t\t\t// this singularity is identity matrix so angle = 0\n\n\t\t\t\tthis.set( 1, 0, 0, 0 );\n\n\t\t\t\treturn this; // zero angle, arbitrary axis\n\n\t\t\t}\n\n\t\t\t// otherwise this singularity is angle = 180\n\n\t\t\tangle = Math.PI;\n\n\t\t\tconst xx = ( m11 + 1 ) / 2;\n\t\t\tconst yy = ( m22 + 1 ) / 2;\n\t\t\tconst zz = ( m33 + 1 ) / 2;\n\t\t\tconst xy = ( m12 + m21 ) / 4;\n\t\t\tconst xz = ( m13 + m31 ) / 4;\n\t\t\tconst yz = ( m23 + m32 ) / 4;\n\n\t\t\tif ( ( xx > yy ) && ( xx > zz ) ) {\n\n\t\t\t\t// m11 is the largest diagonal term\n\n\t\t\t\tif ( xx < epsilon ) {\n\n\t\t\t\t\tx = 0;\n\t\t\t\t\ty = 0.707106781;\n\t\t\t\t\tz = 0.707106781;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tx = Math.sqrt( xx );\n\t\t\t\t\ty = xy / x;\n\t\t\t\t\tz = xz / x;\n\n\t\t\t\t}\n\n\t\t\t} else if ( yy > zz ) {\n\n\t\t\t\t// m22 is the largest diagonal term\n\n\t\t\t\tif ( yy < epsilon ) {\n\n\t\t\t\t\tx = 0.707106781;\n\t\t\t\t\ty = 0;\n\t\t\t\t\tz = 0.707106781;\n\n\t\t\t\t} else {\n\n\t\t\t\t\ty = Math.sqrt( yy );\n\t\t\t\t\tx = xy / y;\n\t\t\t\t\tz = yz / y;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// m33 is the largest diagonal term so base result on this\n\n\t\t\t\tif ( zz < epsilon ) {\n\n\t\t\t\t\tx = 0.707106781;\n\t\t\t\t\ty = 0.707106781;\n\t\t\t\t\tz = 0;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tz = Math.sqrt( zz );\n\t\t\t\t\tx = xz / z;\n\t\t\t\t\ty = yz / z;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.set( x, y, z, angle );\n\n\t\t\treturn this; // return 180 deg rotation\n\n\t\t}\n\n\t\t// as we have reached here there are no singularities so we can handle normally\n\n\t\tlet s = Math.sqrt( ( m32 - m23 ) * ( m32 - m23 ) +\n\t\t\t( m13 - m31 ) * ( m13 - m31 ) +\n\t\t\t( m21 - m12 ) * ( m21 - m12 ) ); // used to normalize\n\n\t\tif ( Math.abs( s ) < 0.001 ) s = 1;\n\n\t\t// prevent divide by zero, should not happen if matrix is orthogonal and should be\n\t\t// caught by singularity test above, but I've left it in just in case\n\n\t\tthis.x = ( m32 - m23 ) / s;\n\t\tthis.y = ( m13 - m31 ) / s;\n\t\tthis.z = ( m21 - m12 ) / s;\n\t\tthis.w = Math.acos( ( m11 + m22 + m33 - 1 ) / 2 );\n\n\t\treturn this;\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\t\tthis.z = Math.min( this.z, v.z );\n\t\tthis.w = Math.min( this.w, v.w );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\t\tthis.z = Math.max( this.z, v.z );\n\t\tthis.w = Math.max( this.w, v.w );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\t\tthis.z = Math.max( min.z, Math.min( max.z, this.z ) );\n\t\tthis.w = Math.max( min.w, Math.min( max.w, this.w ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\t\tthis.z = Math.max( minVal, Math.min( maxVal, this.z ) );\n\t\tthis.w = Math.max( minVal, Math.min( maxVal, this.w ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\t\tthis.z = Math.floor( this.z );\n\t\tthis.w = Math.floor( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\t\tthis.z = Math.ceil( this.z );\n\t\tthis.w = Math.ceil( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\t\tthis.z = Math.round( this.z );\n\t\tthis.w = Math.round( this.w );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\t\tthis.z = Math.trunc( this.z );\n\t\tthis.w = Math.trunc( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\t\tthis.z = - this.z;\n\t\tthis.w = - this.w;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y + this.z * v.z + this.w * v.w;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y ) + Math.abs( this.z ) + Math.abs( this.w );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\t\tthis.z += ( v.z - this.z ) * alpha;\n\t\tthis.w += ( v.w - this.w ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\t\tthis.z = v1.z + ( v2.z - v1.z ) * alpha;\n\t\tthis.w = v1.w + ( v2.w - v1.w ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) && ( v.z === this.z ) && ( v.w === this.w ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\t\tthis.z = array[ offset + 2 ];\n\t\tthis.w = array[ offset + 3 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\t\tarray[ offset + 2 ] = this.z;\n\t\tarray[ offset + 3 ] = this.w;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\t\tthis.z = attribute.getZ( index );\n\t\tthis.w = attribute.getW( index );\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\t\tthis.z = Math.random();\n\t\tthis.w = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\t\tyield this.z;\n\t\tyield this.w;\n\n\t}\n\n}\n\n/*\n In options, we can specify:\n * Texture parameters for an auto-generated target texture\n * depthBuffer/stencilBuffer: Booleans to indicate if we should generate these buffers\n*/\nclass RenderTarget extends EventDispatcher {\n\n\tconstructor( width = 1, height = 1, options = {} ) {\n\n\t\tsuper();\n\n\t\tthis.isRenderTarget = true;\n\n\t\tthis.width = width;\n\t\tthis.height = height;\n\t\tthis.depth = 1;\n\n\t\tthis.scissor = new Vector4( 0, 0, width, height );\n\t\tthis.scissorTest = false;\n\n\t\tthis.viewport = new Vector4( 0, 0, width, height );\n\n\t\tconst image = { width: width, height: height, depth: 1 };\n\n\t\tif ( options.encoding !== undefined ) {\n\n\t\t\t// @deprecated, r152\n\t\t\twarnOnce( 'THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace.' );\n\t\t\toptions.colorSpace = options.encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\t\toptions = Object.assign( {\n\t\t\tgenerateMipmaps: false,\n\t\t\tinternalFormat: null,\n\t\t\tminFilter: LinearFilter,\n\t\t\tdepthBuffer: true,\n\t\t\tstencilBuffer: false,\n\t\t\tdepthTexture: null,\n\t\t\tsamples: 0\n\t\t}, options );\n\n\t\tthis.texture = new Texture( image, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.colorSpace );\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\tthis.texture.flipY = false;\n\t\tthis.texture.generateMipmaps = options.generateMipmaps;\n\t\tthis.texture.internalFormat = options.internalFormat;\n\n\t\tthis.depthBuffer = options.depthBuffer;\n\t\tthis.stencilBuffer = options.stencilBuffer;\n\n\t\tthis.depthTexture = options.depthTexture;\n\n\t\tthis.samples = options.samples;\n\n\t}\n\n\tsetSize( width, height, depth = 1 ) {\n\n\t\tif ( this.width !== width || this.height !== height || this.depth !== depth ) {\n\n\t\t\tthis.width = width;\n\t\t\tthis.height = height;\n\t\t\tthis.depth = depth;\n\n\t\t\tthis.texture.image.width = width;\n\t\t\tthis.texture.image.height = height;\n\t\t\tthis.texture.image.depth = depth;\n\n\t\t\tthis.dispose();\n\n\t\t}\n\n\t\tthis.viewport.set( 0, 0, width, height );\n\t\tthis.scissor.set( 0, 0, width, height );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\t\tthis.depth = source.depth;\n\n\t\tthis.scissor.copy( source.scissor );\n\t\tthis.scissorTest = source.scissorTest;\n\n\t\tthis.viewport.copy( source.viewport );\n\n\t\tthis.texture = source.texture.clone();\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\t// ensure image object is not shared, see #20328\n\n\t\tconst image = Object.assign( {}, source.texture.image );\n\t\tthis.texture.source = new Source( image );\n\n\t\tthis.depthBuffer = source.depthBuffer;\n\t\tthis.stencilBuffer = source.stencilBuffer;\n\n\t\tif ( source.depthTexture !== null ) this.depthTexture = source.depthTexture.clone();\n\n\t\tthis.samples = source.samples;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nclass WebGLRenderTarget extends RenderTarget {\n\n\tconstructor( width = 1, height = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLRenderTarget = true;\n\n\t}\n\n}\n\nclass DataArrayTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, depth = 1 ) {\n\n\t\tsuper( null );\n\n\t\tthis.isDataArrayTexture = true;\n\n\t\tthis.image = { data, width, height, depth };\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nclass WebGLArrayRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, depth = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLArrayRenderTarget = true;\n\n\t\tthis.depth = depth;\n\n\t\tthis.texture = new DataArrayTexture( null, width, height, depth );\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t}\n\n}\n\nclass Data3DTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, depth = 1 ) {\n\n\t\t// We're going to add .setXXX() methods for setting properties later.\n\t\t// Users can still set in DataTexture3D directly.\n\t\t//\n\t\t//\tconst texture = new THREE.DataTexture3D( data, width, height, depth );\n\t\t// \ttexture.anisotropy = 16;\n\t\t//\n\t\t// See #14839\n\n\t\tsuper( null );\n\n\t\tthis.isData3DTexture = true;\n\n\t\tthis.image = { data, width, height, depth };\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nclass WebGL3DRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, depth = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGL3DRenderTarget = true;\n\n\t\tthis.depth = depth;\n\n\t\tthis.texture = new Data3DTexture( null, width, height, depth );\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t}\n\n}\n\nclass WebGLMultipleRenderTargets extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, count = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLMultipleRenderTargets = true;\n\n\t\tconst texture = this.texture;\n\n\t\tthis.texture = [];\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.texture[ i ] = texture.clone();\n\t\t\tthis.texture[ i ].isRenderTargetTexture = true;\n\n\t\t}\n\n\t}\n\n\tsetSize( width, height, depth = 1 ) {\n\n\t\tif ( this.width !== width || this.height !== height || this.depth !== depth ) {\n\n\t\t\tthis.width = width;\n\t\t\tthis.height = height;\n\t\t\tthis.depth = depth;\n\n\t\t\tfor ( let i = 0, il = this.texture.length; i < il; i ++ ) {\n\n\t\t\t\tthis.texture[ i ].image.width = width;\n\t\t\t\tthis.texture[ i ].image.height = height;\n\t\t\t\tthis.texture[ i ].image.depth = depth;\n\n\t\t\t}\n\n\t\t\tthis.dispose();\n\n\t\t}\n\n\t\tthis.viewport.set( 0, 0, width, height );\n\t\tthis.scissor.set( 0, 0, width, height );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.dispose();\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\t\tthis.depth = source.depth;\n\n\t\tthis.scissor.copy( source.scissor );\n\t\tthis.scissorTest = source.scissorTest;\n\n\t\tthis.viewport.copy( source.viewport );\n\n\t\tthis.depthBuffer = source.depthBuffer;\n\t\tthis.stencilBuffer = source.stencilBuffer;\n\n\t\tif ( source.depthTexture !== null ) this.depthTexture = source.depthTexture.clone();\n\n\t\tthis.texture.length = 0;\n\n\t\tfor ( let i = 0, il = source.texture.length; i < il; i ++ ) {\n\n\t\t\tthis.texture[ i ] = source.texture[ i ].clone();\n\t\t\tthis.texture[ i ].isRenderTargetTexture = true;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Quaternion {\n\n\tconstructor( x = 0, y = 0, z = 0, w = 1 ) {\n\n\t\tthis.isQuaternion = true;\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._w = w;\n\n\t}\n\n\tstatic slerpFlat( dst, dstOffset, src0, srcOffset0, src1, srcOffset1, t ) {\n\n\t\t// fuzz-free, array-based Quaternion SLERP operation\n\n\t\tlet x0 = src0[ srcOffset0 + 0 ],\n\t\t\ty0 = src0[ srcOffset0 + 1 ],\n\t\t\tz0 = src0[ srcOffset0 + 2 ],\n\t\t\tw0 = src0[ srcOffset0 + 3 ];\n\n\t\tconst x1 = src1[ srcOffset1 + 0 ],\n\t\t\ty1 = src1[ srcOffset1 + 1 ],\n\t\t\tz1 = src1[ srcOffset1 + 2 ],\n\t\t\tw1 = src1[ srcOffset1 + 3 ];\n\n\t\tif ( t === 0 ) {\n\n\t\t\tdst[ dstOffset + 0 ] = x0;\n\t\t\tdst[ dstOffset + 1 ] = y0;\n\t\t\tdst[ dstOffset + 2 ] = z0;\n\t\t\tdst[ dstOffset + 3 ] = w0;\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( t === 1 ) {\n\n\t\t\tdst[ dstOffset + 0 ] = x1;\n\t\t\tdst[ dstOffset + 1 ] = y1;\n\t\t\tdst[ dstOffset + 2 ] = z1;\n\t\t\tdst[ dstOffset + 3 ] = w1;\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( w0 !== w1 || x0 !== x1 || y0 !== y1 || z0 !== z1 ) {\n\n\t\t\tlet s = 1 - t;\n\t\t\tconst cos = x0 * x1 + y0 * y1 + z0 * z1 + w0 * w1,\n\t\t\t\tdir = ( cos >= 0 ? 1 : - 1 ),\n\t\t\t\tsqrSin = 1 - cos * cos;\n\n\t\t\t// Skip the Slerp for tiny steps to avoid numeric problems:\n\t\t\tif ( sqrSin > Number.EPSILON ) {\n\n\t\t\t\tconst sin = Math.sqrt( sqrSin ),\n\t\t\t\t\tlen = Math.atan2( sin, cos * dir );\n\n\t\t\t\ts = Math.sin( s * len ) / sin;\n\t\t\t\tt = Math.sin( t * len ) / sin;\n\n\t\t\t}\n\n\t\t\tconst tDir = t * dir;\n\n\t\t\tx0 = x0 * s + x1 * tDir;\n\t\t\ty0 = y0 * s + y1 * tDir;\n\t\t\tz0 = z0 * s + z1 * tDir;\n\t\t\tw0 = w0 * s + w1 * tDir;\n\n\t\t\t// Normalize in case we just did a lerp:\n\t\t\tif ( s === 1 - t ) {\n\n\t\t\t\tconst f = 1 / Math.sqrt( x0 * x0 + y0 * y0 + z0 * z0 + w0 * w0 );\n\n\t\t\t\tx0 *= f;\n\t\t\t\ty0 *= f;\n\t\t\t\tz0 *= f;\n\t\t\t\tw0 *= f;\n\n\t\t\t}\n\n\t\t}\n\n\t\tdst[ dstOffset ] = x0;\n\t\tdst[ dstOffset + 1 ] = y0;\n\t\tdst[ dstOffset + 2 ] = z0;\n\t\tdst[ dstOffset + 3 ] = w0;\n\n\t}\n\n\tstatic multiplyQuaternionsFlat( dst, dstOffset, src0, srcOffset0, src1, srcOffset1 ) {\n\n\t\tconst x0 = src0[ srcOffset0 ];\n\t\tconst y0 = src0[ srcOffset0 + 1 ];\n\t\tconst z0 = src0[ srcOffset0 + 2 ];\n\t\tconst w0 = src0[ srcOffset0 + 3 ];\n\n\t\tconst x1 = src1[ srcOffset1 ];\n\t\tconst y1 = src1[ srcOffset1 + 1 ];\n\t\tconst z1 = src1[ srcOffset1 + 2 ];\n\t\tconst w1 = src1[ srcOffset1 + 3 ];\n\n\t\tdst[ dstOffset ] = x0 * w1 + w0 * x1 + y0 * z1 - z0 * y1;\n\t\tdst[ dstOffset + 1 ] = y0 * w1 + w0 * y1 + z0 * x1 - x0 * z1;\n\t\tdst[ dstOffset + 2 ] = z0 * w1 + w0 * z1 + x0 * y1 - y0 * x1;\n\t\tdst[ dstOffset + 3 ] = w0 * w1 - x0 * x1 - y0 * y1 - z0 * z1;\n\n\t\treturn dst;\n\n\t}\n\n\tget x() {\n\n\t\treturn this._x;\n\n\t}\n\n\tset x( value ) {\n\n\t\tthis._x = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget y() {\n\n\t\treturn this._y;\n\n\t}\n\n\tset y( value ) {\n\n\t\tthis._y = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget z() {\n\n\t\treturn this._z;\n\n\t}\n\n\tset z( value ) {\n\n\t\tthis._z = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget w() {\n\n\t\treturn this._w;\n\n\t}\n\n\tset w( value ) {\n\n\t\tthis._w = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tset( x, y, z, w ) {\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._w = w;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this._x, this._y, this._z, this._w );\n\n\t}\n\n\tcopy( quaternion ) {\n\n\t\tthis._x = quaternion.x;\n\t\tthis._y = quaternion.y;\n\t\tthis._z = quaternion.z;\n\t\tthis._w = quaternion.w;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromEuler( euler, update = true ) {\n\n\t\tconst x = euler._x, y = euler._y, z = euler._z, order = euler._order;\n\n\t\t// http://www.mathworks.com/matlabcentral/fileexchange/\n\t\t// \t20696-function-to-convert-between-dcm-euler-angles-quaternions-and-euler-vectors/\n\t\t//\tcontent/SpinCalc.m\n\n\t\tconst cos = Math.cos;\n\t\tconst sin = Math.sin;\n\n\t\tconst c1 = cos( x / 2 );\n\t\tconst c2 = cos( y / 2 );\n\t\tconst c3 = cos( z / 2 );\n\n\t\tconst s1 = sin( x / 2 );\n\t\tconst s2 = sin( y / 2 );\n\t\tconst s3 = sin( z / 2 );\n\n\t\tswitch ( order ) {\n\n\t\t\tcase 'XYZ':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'YXZ':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZXY':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZYX':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'YZX':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'XZY':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tconsole.warn( 'THREE.Quaternion: .setFromEuler() encountered an unknown order: ' + order );\n\n\t\t}\n\n\t\tif ( update === true ) this._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromAxisAngle( axis, angle ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/angleToQuaternion/index.htm\n\n\t\t// assumes axis is normalized\n\n\t\tconst halfAngle = angle / 2, s = Math.sin( halfAngle );\n\n\t\tthis._x = axis.x * s;\n\t\tthis._y = axis.y * s;\n\t\tthis._z = axis.z * s;\n\t\tthis._w = Math.cos( halfAngle );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromRotationMatrix( m ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion/index.htm\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tconst te = m.elements,\n\n\t\t\tm11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ],\n\t\t\tm21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ],\n\t\t\tm31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ],\n\n\t\t\ttrace = m11 + m22 + m33;\n\n\t\tif ( trace > 0 ) {\n\n\t\t\tconst s = 0.5 / Math.sqrt( trace + 1.0 );\n\n\t\t\tthis._w = 0.25 / s;\n\t\t\tthis._x = ( m32 - m23 ) * s;\n\t\t\tthis._y = ( m13 - m31 ) * s;\n\t\t\tthis._z = ( m21 - m12 ) * s;\n\n\t\t} else if ( m11 > m22 && m11 > m33 ) {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m11 - m22 - m33 );\n\n\t\t\tthis._w = ( m32 - m23 ) / s;\n\t\t\tthis._x = 0.25 * s;\n\t\t\tthis._y = ( m12 + m21 ) / s;\n\t\t\tthis._z = ( m13 + m31 ) / s;\n\n\t\t} else if ( m22 > m33 ) {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m22 - m11 - m33 );\n\n\t\t\tthis._w = ( m13 - m31 ) / s;\n\t\t\tthis._x = ( m12 + m21 ) / s;\n\t\t\tthis._y = 0.25 * s;\n\t\t\tthis._z = ( m23 + m32 ) / s;\n\n\t\t} else {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m33 - m11 - m22 );\n\n\t\t\tthis._w = ( m21 - m12 ) / s;\n\t\t\tthis._x = ( m13 + m31 ) / s;\n\t\t\tthis._y = ( m23 + m32 ) / s;\n\t\t\tthis._z = 0.25 * s;\n\n\t\t}\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromUnitVectors( vFrom, vTo ) {\n\n\t\t// assumes direction vectors vFrom and vTo are normalized\n\n\t\tlet r = vFrom.dot( vTo ) + 1;\n\n\t\tif ( r < Number.EPSILON ) {\n\n\t\t\t// vFrom and vTo point in opposite directions\n\n\t\t\tr = 0;\n\n\t\t\tif ( Math.abs( vFrom.x ) > Math.abs( vFrom.z ) ) {\n\n\t\t\t\tthis._x = - vFrom.y;\n\t\t\t\tthis._y = vFrom.x;\n\t\t\t\tthis._z = 0;\n\t\t\t\tthis._w = r;\n\n\t\t\t} else {\n\n\t\t\t\tthis._x = 0;\n\t\t\t\tthis._y = - vFrom.z;\n\t\t\t\tthis._z = vFrom.y;\n\t\t\t\tthis._w = r;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// crossVectors( vFrom, vTo ); // inlined to avoid cyclic dependency on Vector3\n\n\t\t\tthis._x = vFrom.y * vTo.z - vFrom.z * vTo.y;\n\t\t\tthis._y = vFrom.z * vTo.x - vFrom.x * vTo.z;\n\t\t\tthis._z = vFrom.x * vTo.y - vFrom.y * vTo.x;\n\t\t\tthis._w = r;\n\n\t\t}\n\n\t\treturn this.normalize();\n\n\t}\n\n\tangleTo( q ) {\n\n\t\treturn 2 * Math.acos( Math.abs( clamp( this.dot( q ), - 1, 1 ) ) );\n\n\t}\n\n\trotateTowards( q, step ) {\n\n\t\tconst angle = this.angleTo( q );\n\n\t\tif ( angle === 0 ) return this;\n\n\t\tconst t = Math.min( 1, step / angle );\n\n\t\tthis.slerp( q, t );\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\treturn this.set( 0, 0, 0, 1 );\n\n\t}\n\n\tinvert() {\n\n\t\t// quaternion is assumed to have unit length\n\n\t\treturn this.conjugate();\n\n\t}\n\n\tconjugate() {\n\n\t\tthis._x *= - 1;\n\t\tthis._y *= - 1;\n\t\tthis._z *= - 1;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this._x * v._x + this._y * v._y + this._z * v._z + this._w * v._w;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w );\n\n\t}\n\n\tnormalize() {\n\n\t\tlet l = this.length();\n\n\t\tif ( l === 0 ) {\n\n\t\t\tthis._x = 0;\n\t\t\tthis._y = 0;\n\t\t\tthis._z = 0;\n\t\t\tthis._w = 1;\n\n\t\t} else {\n\n\t\t\tl = 1 / l;\n\n\t\t\tthis._x = this._x * l;\n\t\t\tthis._y = this._y * l;\n\t\t\tthis._z = this._z * l;\n\t\t\tthis._w = this._w * l;\n\n\t\t}\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( q ) {\n\n\t\treturn this.multiplyQuaternions( this, q );\n\n\t}\n\n\tpremultiply( q ) {\n\n\t\treturn this.multiplyQuaternions( q, this );\n\n\t}\n\n\tmultiplyQuaternions( a, b ) {\n\n\t\t// from http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions/code/index.htm\n\n\t\tconst qax = a._x, qay = a._y, qaz = a._z, qaw = a._w;\n\t\tconst qbx = b._x, qby = b._y, qbz = b._z, qbw = b._w;\n\n\t\tthis._x = qax * qbw + qaw * qbx + qay * qbz - qaz * qby;\n\t\tthis._y = qay * qbw + qaw * qby + qaz * qbx - qax * qbz;\n\t\tthis._z = qaz * qbw + qaw * qbz + qax * qby - qay * qbx;\n\t\tthis._w = qaw * qbw - qax * qbx - qay * qby - qaz * qbz;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tslerp( qb, t ) {\n\n\t\tif ( t === 0 ) return this;\n\t\tif ( t === 1 ) return this.copy( qb );\n\n\t\tconst x = this._x, y = this._y, z = this._z, w = this._w;\n\n\t\t// http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions/slerp/\n\n\t\tlet cosHalfTheta = w * qb._w + x * qb._x + y * qb._y + z * qb._z;\n\n\t\tif ( cosHalfTheta < 0 ) {\n\n\t\t\tthis._w = - qb._w;\n\t\t\tthis._x = - qb._x;\n\t\t\tthis._y = - qb._y;\n\t\t\tthis._z = - qb._z;\n\n\t\t\tcosHalfTheta = - cosHalfTheta;\n\n\t\t} else {\n\n\t\t\tthis.copy( qb );\n\n\t\t}\n\n\t\tif ( cosHalfTheta >= 1.0 ) {\n\n\t\t\tthis._w = w;\n\t\t\tthis._x = x;\n\t\t\tthis._y = y;\n\t\t\tthis._z = z;\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst sqrSinHalfTheta = 1.0 - cosHalfTheta * cosHalfTheta;\n\n\t\tif ( sqrSinHalfTheta <= Number.EPSILON ) {\n\n\t\t\tconst s = 1 - t;\n\t\t\tthis._w = s * w + t * this._w;\n\t\t\tthis._x = s * x + t * this._x;\n\t\t\tthis._y = s * y + t * this._y;\n\t\t\tthis._z = s * z + t * this._z;\n\n\t\t\tthis.normalize(); // normalize calls _onChangeCallback()\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst sinHalfTheta = Math.sqrt( sqrSinHalfTheta );\n\t\tconst halfTheta = Math.atan2( sinHalfTheta, cosHalfTheta );\n\t\tconst ratioA = Math.sin( ( 1 - t ) * halfTheta ) / sinHalfTheta,\n\t\t\tratioB = Math.sin( t * halfTheta ) / sinHalfTheta;\n\n\t\tthis._w = ( w * ratioA + this._w * ratioB );\n\t\tthis._x = ( x * ratioA + this._x * ratioB );\n\t\tthis._y = ( y * ratioA + this._y * ratioB );\n\t\tthis._z = ( z * ratioA + this._z * ratioB );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tslerpQuaternions( qa, qb, t ) {\n\n\t\treturn this.copy( qa ).slerp( qb, t );\n\n\t}\n\n\trandom() {\n\n\t\t// Derived from http://planning.cs.uiuc.edu/node198.html\n\t\t// Note, this source uses w, x, y, z ordering,\n\t\t// so we swap the order below.\n\n\t\tconst u1 = Math.random();\n\t\tconst sqrt1u1 = Math.sqrt( 1 - u1 );\n\t\tconst sqrtu1 = Math.sqrt( u1 );\n\n\t\tconst u2 = 2 * Math.PI * Math.random();\n\n\t\tconst u3 = 2 * Math.PI * Math.random();\n\n\t\treturn this.set(\n\t\t\tsqrt1u1 * Math.cos( u2 ),\n\t\t\tsqrtu1 * Math.sin( u3 ),\n\t\t\tsqrtu1 * Math.cos( u3 ),\n\t\t\tsqrt1u1 * Math.sin( u2 ),\n\t\t);\n\n\t}\n\n\tequals( quaternion ) {\n\n\t\treturn ( quaternion._x === this._x ) && ( quaternion._y === this._y ) && ( quaternion._z === this._z ) && ( quaternion._w === this._w );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis._x = array[ offset ];\n\t\tthis._y = array[ offset + 1 ];\n\t\tthis._z = array[ offset + 2 ];\n\t\tthis._w = array[ offset + 3 ];\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this._x;\n\t\tarray[ offset + 1 ] = this._y;\n\t\tarray[ offset + 2 ] = this._z;\n\t\tarray[ offset + 3 ] = this._w;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis._x = attribute.getX( index );\n\t\tthis._y = attribute.getY( index );\n\t\tthis._z = attribute.getZ( index );\n\t\tthis._w = attribute.getW( index );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.toArray();\n\n\t}\n\n\t_onChange( callback ) {\n\n\t\tthis._onChangeCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\t_onChangeCallback() {}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this._x;\n\t\tyield this._y;\n\t\tyield this._z;\n\t\tyield this._w;\n\n\t}\n\n}\n\nclass Vector3 {\n\n\tconstructor( x = 0, y = 0, z = 0 ) {\n\n\t\tVector3.prototype.isVector3 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\n\t}\n\n\tset( x, y, z ) {\n\n\t\tif ( z === undefined ) z = this.z; // sprite.scale.set(x,y)\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\t\tthis.z = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( z ) {\n\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tcase 2: this.z = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tcase 2: return this.z;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y, this.z );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\t\tthis.z = v.z;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\t\tthis.z += v.z;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\t\tthis.z += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\t\tthis.z = a.z + b.z;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\t\tthis.z += v.z * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\t\tthis.z -= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\t\tthis.z -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\t\tthis.z = a.z - b.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\t\tthis.z *= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\t\tthis.z *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyVectors( a, b ) {\n\n\t\tthis.x = a.x * b.x;\n\t\tthis.y = a.y * b.y;\n\t\tthis.z = a.z * b.z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyEuler( euler ) {\n\n\t\treturn this.applyQuaternion( _quaternion$4.setFromEuler( euler ) );\n\n\t}\n\n\tapplyAxisAngle( axis, angle ) {\n\n\t\treturn this.applyQuaternion( _quaternion$4.setFromAxisAngle( axis, angle ) );\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 3 ] * y + e[ 6 ] * z;\n\t\tthis.y = e[ 1 ] * x + e[ 4 ] * y + e[ 7 ] * z;\n\t\tthis.z = e[ 2 ] * x + e[ 5 ] * y + e[ 8 ] * z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\treturn this.applyMatrix3( m ).normalize();\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tconst w = 1 / ( e[ 3 ] * x + e[ 7 ] * y + e[ 11 ] * z + e[ 15 ] );\n\n\t\tthis.x = ( e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z + e[ 12 ] ) * w;\n\t\tthis.y = ( e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z + e[ 13 ] ) * w;\n\t\tthis.z = ( e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z + e[ 14 ] ) * w;\n\n\t\treturn this;\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\t// quaternion q is assumed to have unit length\n\n\t\tconst vx = this.x, vy = this.y, vz = this.z;\n\t\tconst qx = q.x, qy = q.y, qz = q.z, qw = q.w;\n\n\t\t// t = 2 * cross( q.xyz, v );\n\t\tconst tx = 2 * ( qy * vz - qz * vy );\n\t\tconst ty = 2 * ( qz * vx - qx * vz );\n\t\tconst tz = 2 * ( qx * vy - qy * vx );\n\n\t\t// v + q.w * t + cross( q.xyz, t );\n\t\tthis.x = vx + qw * tx + qy * tz - qz * ty;\n\t\tthis.y = vy + qw * ty + qz * tx - qx * tz;\n\t\tthis.z = vz + qw * tz + qx * ty - qy * tx;\n\n\t\treturn this;\n\n\t}\n\n\tproject( camera ) {\n\n\t\treturn this.applyMatrix4( camera.matrixWorldInverse ).applyMatrix4( camera.projectionMatrix );\n\n\t}\n\n\tunproject( camera ) {\n\n\t\treturn this.applyMatrix4( camera.projectionMatrixInverse ).applyMatrix4( camera.matrixWorld );\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\t// input: THREE.Matrix4 affine matrix\n\t\t// vector interpreted as a direction\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z;\n\t\tthis.y = e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z;\n\t\tthis.z = e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z;\n\n\t\treturn this.normalize();\n\n\t}\n\n\tdivide( v ) {\n\n\t\tthis.x /= v.x;\n\t\tthis.y /= v.y;\n\t\tthis.z /= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\t\tthis.z = Math.min( this.z, v.z );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\t\tthis.z = Math.max( this.z, v.z );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\t\tthis.z = Math.max( min.z, Math.min( max.z, this.z ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\t\tthis.z = Math.max( minVal, Math.min( maxVal, this.z ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\t\tthis.z = Math.floor( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\t\tthis.z = Math.ceil( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\t\tthis.z = Math.round( this.z );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\t\tthis.z = Math.trunc( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\t\tthis.z = - this.z;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y + this.z * v.z;\n\n\t}\n\n\t// TODO lengthSquared?\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y + this.z * this.z;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y + this.z * this.z );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y ) + Math.abs( this.z );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\t\tthis.z += ( v.z - this.z ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\t\tthis.z = v1.z + ( v2.z - v1.z ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tcross( v ) {\n\n\t\treturn this.crossVectors( this, v );\n\n\t}\n\n\tcrossVectors( a, b ) {\n\n\t\tconst ax = a.x, ay = a.y, az = a.z;\n\t\tconst bx = b.x, by = b.y, bz = b.z;\n\n\t\tthis.x = ay * bz - az * by;\n\t\tthis.y = az * bx - ax * bz;\n\t\tthis.z = ax * by - ay * bx;\n\n\t\treturn this;\n\n\t}\n\n\tprojectOnVector( v ) {\n\n\t\tconst denominator = v.lengthSq();\n\n\t\tif ( denominator === 0 ) return this.set( 0, 0, 0 );\n\n\t\tconst scalar = v.dot( this ) / denominator;\n\n\t\treturn this.copy( v ).multiplyScalar( scalar );\n\n\t}\n\n\tprojectOnPlane( planeNormal ) {\n\n\t\t_vector$c.copy( this ).projectOnVector( planeNormal );\n\n\t\treturn this.sub( _vector$c );\n\n\t}\n\n\treflect( normal ) {\n\n\t\t// reflect incident vector off plane orthogonal to normal\n\t\t// normal is assumed to have unit length\n\n\t\treturn this.sub( _vector$c.copy( normal ).multiplyScalar( 2 * this.dot( normal ) ) );\n\n\t}\n\n\tangleTo( v ) {\n\n\t\tconst denominator = Math.sqrt( this.lengthSq() * v.lengthSq() );\n\n\t\tif ( denominator === 0 ) return Math.PI / 2;\n\n\t\tconst theta = this.dot( v ) / denominator;\n\n\t\t// clamp, to handle numerical problems\n\n\t\treturn Math.acos( clamp( theta, - 1, 1 ) );\n\n\t}\n\n\tdistanceTo( v ) {\n\n\t\treturn Math.sqrt( this.distanceToSquared( v ) );\n\n\t}\n\n\tdistanceToSquared( v ) {\n\n\t\tconst dx = this.x - v.x, dy = this.y - v.y, dz = this.z - v.z;\n\n\t\treturn dx * dx + dy * dy + dz * dz;\n\n\t}\n\n\tmanhattanDistanceTo( v ) {\n\n\t\treturn Math.abs( this.x - v.x ) + Math.abs( this.y - v.y ) + Math.abs( this.z - v.z );\n\n\t}\n\n\tsetFromSpherical( s ) {\n\n\t\treturn this.setFromSphericalCoords( s.radius, s.phi, s.theta );\n\n\t}\n\n\tsetFromSphericalCoords( radius, phi, theta ) {\n\n\t\tconst sinPhiRadius = Math.sin( phi ) * radius;\n\n\t\tthis.x = sinPhiRadius * Math.sin( theta );\n\t\tthis.y = Math.cos( phi ) * radius;\n\t\tthis.z = sinPhiRadius * Math.cos( theta );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCylindrical( c ) {\n\n\t\treturn this.setFromCylindricalCoords( c.radius, c.theta, c.y );\n\n\t}\n\n\tsetFromCylindricalCoords( radius, theta, y ) {\n\n\t\tthis.x = radius * Math.sin( theta );\n\t\tthis.y = y;\n\t\tthis.z = radius * Math.cos( theta );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixPosition( m ) {\n\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 12 ];\n\t\tthis.y = e[ 13 ];\n\t\tthis.z = e[ 14 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixScale( m ) {\n\n\t\tconst sx = this.setFromMatrixColumn( m, 0 ).length();\n\t\tconst sy = this.setFromMatrixColumn( m, 1 ).length();\n\t\tconst sz = this.setFromMatrixColumn( m, 2 ).length();\n\n\t\tthis.x = sx;\n\t\tthis.y = sy;\n\t\tthis.z = sz;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixColumn( m, index ) {\n\n\t\treturn this.fromArray( m.elements, index * 4 );\n\n\t}\n\n\tsetFromMatrix3Column( m, index ) {\n\n\t\treturn this.fromArray( m.elements, index * 3 );\n\n\t}\n\n\tsetFromEuler( e ) {\n\n\t\tthis.x = e._x;\n\t\tthis.y = e._y;\n\t\tthis.z = e._z;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromColor( c ) {\n\n\t\tthis.x = c.r;\n\t\tthis.y = c.g;\n\t\tthis.z = c.b;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) && ( v.z === this.z ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\t\tthis.z = array[ offset + 2 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\t\tarray[ offset + 2 ] = this.z;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\t\tthis.z = attribute.getZ( index );\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\t\tthis.z = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\trandomDirection() {\n\n\t\t// Derived from https://mathworld.wolfram.com/SpherePointPicking.html\n\n\t\tconst u = ( Math.random() - 0.5 ) * 2;\n\t\tconst t = Math.random() * Math.PI * 2;\n\t\tconst f = Math.sqrt( 1 - u ** 2 );\n\n\t\tthis.x = f * Math.cos( t );\n\t\tthis.y = f * Math.sin( t );\n\t\tthis.z = u;\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\t\tyield this.z;\n\n\t}\n\n}\n\nconst _vector$c = /*@__PURE__*/ new Vector3();\nconst _quaternion$4 = /*@__PURE__*/ new Quaternion();\n\nclass Box3 {\n\n\tconstructor( min = new Vector3( + Infinity, + Infinity, + Infinity ), max = new Vector3( - Infinity, - Infinity, - Infinity ) ) {\n\n\t\tthis.isBox3 = true;\n\n\t\tthis.min = min;\n\t\tthis.max = max;\n\n\t}\n\n\tset( min, max ) {\n\n\t\tthis.min.copy( min );\n\t\tthis.max.copy( max );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromArray( array ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = array.length; i < il; i += 3 ) {\n\n\t\t\tthis.expandByPoint( _vector$b.fromArray( array, i ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromBufferAttribute( attribute ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = attribute.count; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( _vector$b.fromBufferAttribute( attribute, i ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( points[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCenterAndSize( center, size ) {\n\n\t\tconst halfSize = _vector$b.copy( size ).multiplyScalar( 0.5 );\n\n\t\tthis.min.copy( center ).sub( halfSize );\n\t\tthis.max.copy( center ).add( halfSize );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromObject( object, precise = false ) {\n\n\t\tthis.makeEmpty();\n\n\t\treturn this.expandByObject( object, precise );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( box ) {\n\n\t\tthis.min.copy( box.min );\n\t\tthis.max.copy( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.min.x = this.min.y = this.min.z = + Infinity;\n\t\tthis.max.x = this.max.y = this.max.z = - Infinity;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\t// this is a more robust check for empty than ( volume <= 0 ) because volume can get positive with two negative axes\n\n\t\treturn ( this.max.x < this.min.x ) || ( this.max.y < this.min.y ) || ( this.max.z < this.min.z );\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0, 0 ) : target.addVectors( this.min, this.max ).multiplyScalar( 0.5 );\n\n\t}\n\n\tgetSize( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0, 0 ) : target.subVectors( this.max, this.min );\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tthis.min.min( point );\n\t\tthis.max.max( point );\n\n\t\treturn this;\n\n\t}\n\n\texpandByVector( vector ) {\n\n\t\tthis.min.sub( vector );\n\t\tthis.max.add( vector );\n\n\t\treturn this;\n\n\t}\n\n\texpandByScalar( scalar ) {\n\n\t\tthis.min.addScalar( - scalar );\n\t\tthis.max.addScalar( scalar );\n\n\t\treturn this;\n\n\t}\n\n\texpandByObject( object, precise = false ) {\n\n\t\t// Computes the world-axis-aligned bounding box of an object (including its children),\n\t\t// accounting for both the object's, and children's, world transforms\n\n\t\tobject.updateWorldMatrix( false, false );\n\n\t\tconst geometry = object.geometry;\n\n\t\tif ( geometry !== undefined ) {\n\n\t\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\t\t// precise AABB computation based on vertex data requires at least a position attribute.\n\t\t\t// instancing isn't supported so far and uses the normal (conservative) code path.\n\n\t\t\tif ( precise === true && positionAttribute !== undefined && object.isInstancedMesh !== true ) {\n\n\t\t\t\tfor ( let i = 0, l = positionAttribute.count; i < l; i ++ ) {\n\n\t\t\t\t\tif ( object.isMesh === true ) {\n\n\t\t\t\t\t\tobject.getVertexPosition( i, _vector$b );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t_vector$b.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_vector$b.applyMatrix4( object.matrixWorld );\n\t\t\t\t\tthis.expandByPoint( _vector$b );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( object.boundingBox !== undefined ) {\n\n\t\t\t\t\t// object-level bounding box\n\n\t\t\t\t\tif ( object.boundingBox === null ) {\n\n\t\t\t\t\t\tobject.computeBoundingBox();\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_box$4.copy( object.boundingBox );\n\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// geometry-level bounding box\n\n\t\t\t\t\tif ( geometry.boundingBox === null ) {\n\n\t\t\t\t\t\tgeometry.computeBoundingBox();\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_box$4.copy( geometry.boundingBox );\n\n\t\t\t\t}\n\n\t\t\t\t_box$4.applyMatrix4( object.matrixWorld );\n\n\t\t\t\tthis.union( _box$4 );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tthis.expandByObject( children[ i ], precise );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn point.x < this.min.x || point.x > this.max.x ||\n\t\t\tpoint.y < this.min.y || point.y > this.max.y ||\n\t\t\tpoint.z < this.min.z || point.z > this.max.z ? false : true;\n\n\t}\n\n\tcontainsBox( box ) {\n\n\t\treturn this.min.x <= box.min.x && box.max.x <= this.max.x &&\n\t\t\tthis.min.y <= box.min.y && box.max.y <= this.max.y &&\n\t\t\tthis.min.z <= box.min.z && box.max.z <= this.max.z;\n\n\t}\n\n\tgetParameter( point, target ) {\n\n\t\t// This can potentially have a divide by zero if the box\n\t\t// has a size dimension of 0.\n\n\t\treturn target.set(\n\t\t\t( point.x - this.min.x ) / ( this.max.x - this.min.x ),\n\t\t\t( point.y - this.min.y ) / ( this.max.y - this.min.y ),\n\t\t\t( point.z - this.min.z ) / ( this.max.z - this.min.z )\n\t\t);\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\t// using 6 splitting planes to rule out intersections.\n\t\treturn box.max.x < this.min.x || box.min.x > this.max.x ||\n\t\t\tbox.max.y < this.min.y || box.min.y > this.max.y ||\n\t\t\tbox.max.z < this.min.z || box.min.z > this.max.z ? false : true;\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\t// Find the point on the AABB closest to the sphere center.\n\t\tthis.clampPoint( sphere.center, _vector$b );\n\n\t\t// If that point is inside the sphere, the AABB and sphere intersect.\n\t\treturn _vector$b.distanceToSquared( sphere.center ) <= ( sphere.radius * sphere.radius );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\t// We compute the minimum and maximum dot product values. If those values\n\t\t// are on the same side (back or front) of the plane, then there is no intersection.\n\n\t\tlet min, max;\n\n\t\tif ( plane.normal.x > 0 ) {\n\n\t\t\tmin = plane.normal.x * this.min.x;\n\t\t\tmax = plane.normal.x * this.max.x;\n\n\t\t} else {\n\n\t\t\tmin = plane.normal.x * this.max.x;\n\t\t\tmax = plane.normal.x * this.min.x;\n\n\t\t}\n\n\t\tif ( plane.normal.y > 0 ) {\n\n\t\t\tmin += plane.normal.y * this.min.y;\n\t\t\tmax += plane.normal.y * this.max.y;\n\n\t\t} else {\n\n\t\t\tmin += plane.normal.y * this.max.y;\n\t\t\tmax += plane.normal.y * this.min.y;\n\n\t\t}\n\n\t\tif ( plane.normal.z > 0 ) {\n\n\t\t\tmin += plane.normal.z * this.min.z;\n\t\t\tmax += plane.normal.z * this.max.z;\n\n\t\t} else {\n\n\t\t\tmin += plane.normal.z * this.max.z;\n\t\t\tmax += plane.normal.z * this.min.z;\n\n\t\t}\n\n\t\treturn ( min <= - plane.constant && max >= - plane.constant );\n\n\t}\n\n\tintersectsTriangle( triangle ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// compute box center and extents\n\t\tthis.getCenter( _center );\n\t\t_extents.subVectors( this.max, _center );\n\n\t\t// translate triangle to aabb origin\n\t\t_v0$2.subVectors( triangle.a, _center );\n\t\t_v1$7.subVectors( triangle.b, _center );\n\t\t_v2$4.subVectors( triangle.c, _center );\n\n\t\t// compute edge vectors for triangle\n\t\t_f0.subVectors( _v1$7, _v0$2 );\n\t\t_f1.subVectors( _v2$4, _v1$7 );\n\t\t_f2.subVectors( _v0$2, _v2$4 );\n\n\t\t// test against axes that are given by cross product combinations of the edges of the triangle and the edges of the aabb\n\t\t// make an axis testing of each of the 3 sides of the aabb against each of the 3 sides of the triangle = 9 axis of separation\n\t\t// axis_ij = u_i x f_j (u0, u1, u2 = face normals of aabb = x,y,z axes vectors since aabb is axis aligned)\n\t\tlet axes = [\n\t\t\t0, - _f0.z, _f0.y, 0, - _f1.z, _f1.y, 0, - _f2.z, _f2.y,\n\t\t\t_f0.z, 0, - _f0.x, _f1.z, 0, - _f1.x, _f2.z, 0, - _f2.x,\n\t\t\t- _f0.y, _f0.x, 0, - _f1.y, _f1.x, 0, - _f2.y, _f2.x, 0\n\t\t];\n\t\tif ( ! satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents ) ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// test 3 face normals from the aabb\n\t\taxes = [ 1, 0, 0, 0, 1, 0, 0, 0, 1 ];\n\t\tif ( ! satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents ) ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// finally testing the face normal of the triangle\n\t\t// use already existing triangle edge vectors here\n\t\t_triangleNormal.crossVectors( _f0, _f1 );\n\t\taxes = [ _triangleNormal.x, _triangleNormal.y, _triangleNormal.z ];\n\n\t\treturn satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents );\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\treturn target.copy( point ).clamp( this.min, this.max );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.clampPoint( point, _vector$b ).distanceTo( point );\n\n\t}\n\n\tgetBoundingSphere( target ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\ttarget.makeEmpty();\n\n\t\t} else {\n\n\t\t\tthis.getCenter( target.center );\n\n\t\t\ttarget.radius = this.getSize( _vector$b ).length() * 0.5;\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\tintersect( box ) {\n\n\t\tthis.min.max( box.min );\n\t\tthis.max.min( box.max );\n\n\t\t// ensure that if there is no overlap, the result is fully empty, not slightly empty with non-inf/+inf values that will cause subsequence intersects to erroneously return valid values.\n\t\tif ( this.isEmpty() ) this.makeEmpty();\n\n\t\treturn this;\n\n\t}\n\n\tunion( box ) {\n\n\t\tthis.min.min( box.min );\n\t\tthis.max.max( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\t// transform of empty box is an empty box.\n\t\tif ( this.isEmpty() ) return this;\n\n\t\t// NOTE: I am using a binary pattern to specify all 2^3 combinations below\n\t\t_points[ 0 ].set( this.min.x, this.min.y, this.min.z ).applyMatrix4( matrix ); // 000\n\t\t_points[ 1 ].set( this.min.x, this.min.y, this.max.z ).applyMatrix4( matrix ); // 001\n\t\t_points[ 2 ].set( this.min.x, this.max.y, this.min.z ).applyMatrix4( matrix ); // 010\n\t\t_points[ 3 ].set( this.min.x, this.max.y, this.max.z ).applyMatrix4( matrix ); // 011\n\t\t_points[ 4 ].set( this.max.x, this.min.y, this.min.z ).applyMatrix4( matrix ); // 100\n\t\t_points[ 5 ].set( this.max.x, this.min.y, this.max.z ).applyMatrix4( matrix ); // 101\n\t\t_points[ 6 ].set( this.max.x, this.max.y, this.min.z ).applyMatrix4( matrix ); // 110\n\t\t_points[ 7 ].set( this.max.x, this.max.y, this.max.z ).applyMatrix4( matrix ); // 111\n\n\t\tthis.setFromPoints( _points );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.min.add( offset );\n\t\tthis.max.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\tequals( box ) {\n\n\t\treturn box.min.equals( this.min ) && box.max.equals( this.max );\n\n\t}\n\n}\n\nconst _points = [\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3()\n];\n\nconst _vector$b = /*@__PURE__*/ new Vector3();\n\nconst _box$4 = /*@__PURE__*/ new Box3();\n\n// triangle centered vertices\n\nconst _v0$2 = /*@__PURE__*/ new Vector3();\nconst _v1$7 = /*@__PURE__*/ new Vector3();\nconst _v2$4 = /*@__PURE__*/ new Vector3();\n\n// triangle edge vectors\n\nconst _f0 = /*@__PURE__*/ new Vector3();\nconst _f1 = /*@__PURE__*/ new Vector3();\nconst _f2 = /*@__PURE__*/ new Vector3();\n\nconst _center = /*@__PURE__*/ new Vector3();\nconst _extents = /*@__PURE__*/ new Vector3();\nconst _triangleNormal = /*@__PURE__*/ new Vector3();\nconst _testAxis = /*@__PURE__*/ new Vector3();\n\nfunction satForAxes( axes, v0, v1, v2, extents ) {\n\n\tfor ( let i = 0, j = axes.length - 3; i <= j; i += 3 ) {\n\n\t\t_testAxis.fromArray( axes, i );\n\t\t// project the aabb onto the separating axis\n\t\tconst r = extents.x * Math.abs( _testAxis.x ) + extents.y * Math.abs( _testAxis.y ) + extents.z * Math.abs( _testAxis.z );\n\t\t// project all 3 vertices of the triangle onto the separating axis\n\t\tconst p0 = v0.dot( _testAxis );\n\t\tconst p1 = v1.dot( _testAxis );\n\t\tconst p2 = v2.dot( _testAxis );\n\t\t// actual test, basically see if either of the most extreme of the triangle points intersects r\n\t\tif ( Math.max( - Math.max( p0, p1, p2 ), Math.min( p0, p1, p2 ) ) > r ) {\n\n\t\t\t// points of the projected triangle are outside the projected half-length of the aabb\n\t\t\t// the axis is separating and we can exit\n\t\t\treturn false;\n\n\t\t}\n\n\t}\n\n\treturn true;\n\n}\n\nconst _box$3 = /*@__PURE__*/ new Box3();\nconst _v1$6 = /*@__PURE__*/ new Vector3();\nconst _v2$3 = /*@__PURE__*/ new Vector3();\n\nclass Sphere {\n\n\tconstructor( center = new Vector3(), radius = - 1 ) {\n\n\t\tthis.isSphere = true;\n\n\t\tthis.center = center;\n\t\tthis.radius = radius;\n\n\t}\n\n\tset( center, radius ) {\n\n\t\tthis.center.copy( center );\n\t\tthis.radius = radius;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points, optionalCenter ) {\n\n\t\tconst center = this.center;\n\n\t\tif ( optionalCenter !== undefined ) {\n\n\t\t\tcenter.copy( optionalCenter );\n\n\t\t} else {\n\n\t\t\t_box$3.setFromPoints( points ).getCenter( center );\n\n\t\t}\n\n\t\tlet maxRadiusSq = 0;\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( points[ i ] ) );\n\n\t\t}\n\n\t\tthis.radius = Math.sqrt( maxRadiusSq );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( sphere ) {\n\n\t\tthis.center.copy( sphere.center );\n\t\tthis.radius = sphere.radius;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\treturn ( this.radius < 0 );\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.center.set( 0, 0, 0 );\n\t\tthis.radius = - 1;\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn ( point.distanceToSquared( this.center ) <= ( this.radius * this.radius ) );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn ( point.distanceTo( this.center ) - this.radius );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\tconst radiusSum = this.radius + sphere.radius;\n\n\t\treturn sphere.center.distanceToSquared( this.center ) <= ( radiusSum * radiusSum );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsSphere( this );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\treturn Math.abs( plane.distanceToPoint( this.center ) ) <= this.radius;\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\tconst deltaLengthSq = this.center.distanceToSquared( point );\n\n\t\ttarget.copy( point );\n\n\t\tif ( deltaLengthSq > ( this.radius * this.radius ) ) {\n\n\t\t\ttarget.sub( this.center ).normalize();\n\t\t\ttarget.multiplyScalar( this.radius ).add( this.center );\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\tgetBoundingBox( target ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\t// Empty sphere produces empty bounding box\n\t\t\ttarget.makeEmpty();\n\t\t\treturn target;\n\n\t\t}\n\n\t\ttarget.set( this.center, this.center );\n\t\ttarget.expandByScalar( this.radius );\n\n\t\treturn target;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tthis.center.applyMatrix4( matrix );\n\t\tthis.radius = this.radius * matrix.getMaxScaleOnAxis();\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.center.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\tthis.center.copy( point );\n\n\t\t\tthis.radius = 0;\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t_v1$6.subVectors( point, this.center );\n\n\t\tconst lengthSq = _v1$6.lengthSq();\n\n\t\tif ( lengthSq > ( this.radius * this.radius ) ) {\n\n\t\t\t// calculate the minimal sphere\n\n\t\t\tconst length = Math.sqrt( lengthSq );\n\n\t\t\tconst delta = ( length - this.radius ) * 0.5;\n\n\t\t\tthis.center.addScaledVector( _v1$6, delta / length );\n\n\t\t\tthis.radius += delta;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tunion( sphere ) {\n\n\t\tif ( sphere.isEmpty() ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\tthis.copy( sphere );\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( this.center.equals( sphere.center ) === true ) {\n\n\t\t\t this.radius = Math.max( this.radius, sphere.radius );\n\n\t\t} else {\n\n\t\t\t_v2$3.subVectors( sphere.center, this.center ).setLength( sphere.radius );\n\n\t\t\tthis.expandByPoint( _v1$6.copy( sphere.center ).add( _v2$3 ) );\n\n\t\t\tthis.expandByPoint( _v1$6.copy( sphere.center ).sub( _v2$3 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tequals( sphere ) {\n\n\t\treturn sphere.center.equals( this.center ) && ( sphere.radius === this.radius );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$a = /*@__PURE__*/ new Vector3();\nconst _segCenter = /*@__PURE__*/ new Vector3();\nconst _segDir = /*@__PURE__*/ new Vector3();\nconst _diff = /*@__PURE__*/ new Vector3();\n\nconst _edge1 = /*@__PURE__*/ new Vector3();\nconst _edge2 = /*@__PURE__*/ new Vector3();\nconst _normal$1 = /*@__PURE__*/ new Vector3();\n\nclass Ray {\n\n\tconstructor( origin = new Vector3(), direction = new Vector3( 0, 0, - 1 ) ) {\n\n\t\tthis.origin = origin;\n\t\tthis.direction = direction;\n\n\t}\n\n\tset( origin, direction ) {\n\n\t\tthis.origin.copy( origin );\n\t\tthis.direction.copy( direction );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( ray ) {\n\n\t\tthis.origin.copy( ray.origin );\n\t\tthis.direction.copy( ray.direction );\n\n\t\treturn this;\n\n\t}\n\n\tat( t, target ) {\n\n\t\treturn target.copy( this.origin ).addScaledVector( this.direction, t );\n\n\t}\n\n\tlookAt( v ) {\n\n\t\tthis.direction.copy( v ).sub( this.origin ).normalize();\n\n\t\treturn this;\n\n\t}\n\n\trecast( t ) {\n\n\t\tthis.origin.copy( this.at( t, _vector$a ) );\n\n\t\treturn this;\n\n\t}\n\n\tclosestPointToPoint( point, target ) {\n\n\t\ttarget.subVectors( point, this.origin );\n\n\t\tconst directionDistance = target.dot( this.direction );\n\n\t\tif ( directionDistance < 0 ) {\n\n\t\t\treturn target.copy( this.origin );\n\n\t\t}\n\n\t\treturn target.copy( this.origin ).addScaledVector( this.direction, directionDistance );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn Math.sqrt( this.distanceSqToPoint( point ) );\n\n\t}\n\n\tdistanceSqToPoint( point ) {\n\n\t\tconst directionDistance = _vector$a.subVectors( point, this.origin ).dot( this.direction );\n\n\t\t// point behind the ray\n\n\t\tif ( directionDistance < 0 ) {\n\n\t\t\treturn this.origin.distanceToSquared( point );\n\n\t\t}\n\n\t\t_vector$a.copy( this.origin ).addScaledVector( this.direction, directionDistance );\n\n\t\treturn _vector$a.distanceToSquared( point );\n\n\t}\n\n\tdistanceSqToSegment( v0, v1, optionalPointOnRay, optionalPointOnSegment ) {\n\n\t\t// from https://github.com/pmjoniak/GeometricTools/blob/master/GTEngine/Include/Mathematics/GteDistRaySegment.h\n\t\t// It returns the min distance between the ray and the segment\n\t\t// defined by v0 and v1\n\t\t// It can also set two optional targets :\n\t\t// - The closest point on the ray\n\t\t// - The closest point on the segment\n\n\t\t_segCenter.copy( v0 ).add( v1 ).multiplyScalar( 0.5 );\n\t\t_segDir.copy( v1 ).sub( v0 ).normalize();\n\t\t_diff.copy( this.origin ).sub( _segCenter );\n\n\t\tconst segExtent = v0.distanceTo( v1 ) * 0.5;\n\t\tconst a01 = - this.direction.dot( _segDir );\n\t\tconst b0 = _diff.dot( this.direction );\n\t\tconst b1 = - _diff.dot( _segDir );\n\t\tconst c = _diff.lengthSq();\n\t\tconst det = Math.abs( 1 - a01 * a01 );\n\t\tlet s0, s1, sqrDist, extDet;\n\n\t\tif ( det > 0 ) {\n\n\t\t\t// The ray and segment are not parallel.\n\n\t\t\ts0 = a01 * b1 - b0;\n\t\t\ts1 = a01 * b0 - b1;\n\t\t\textDet = segExtent * det;\n\n\t\t\tif ( s0 >= 0 ) {\n\n\t\t\t\tif ( s1 >= - extDet ) {\n\n\t\t\t\t\tif ( s1 <= extDet ) {\n\n\t\t\t\t\t\t// region 0\n\t\t\t\t\t\t// Minimum at interior points of ray and segment.\n\n\t\t\t\t\t\tconst invDet = 1 / det;\n\t\t\t\t\t\ts0 *= invDet;\n\t\t\t\t\t\ts1 *= invDet;\n\t\t\t\t\t\tsqrDist = s0 * ( s0 + a01 * s1 + 2 * b0 ) + s1 * ( a01 * s0 + s1 + 2 * b1 ) + c;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// region 1\n\n\t\t\t\t\t\ts1 = segExtent;\n\t\t\t\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// region 5\n\n\t\t\t\t\ts1 = - segExtent;\n\t\t\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( s1 <= - extDet ) {\n\n\t\t\t\t\t// region 4\n\n\t\t\t\t\ts0 = Math.max( 0, - ( - a01 * segExtent + b0 ) );\n\t\t\t\t\ts1 = ( s0 > 0 ) ? - segExtent : Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t} else if ( s1 <= extDet ) {\n\n\t\t\t\t\t// region 3\n\n\t\t\t\t\ts0 = 0;\n\t\t\t\t\ts1 = Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// region 2\n\n\t\t\t\t\ts0 = Math.max( 0, - ( a01 * segExtent + b0 ) );\n\t\t\t\t\ts1 = ( s0 > 0 ) ? segExtent : Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// Ray and segment are parallel.\n\n\t\t\ts1 = ( a01 > 0 ) ? - segExtent : segExtent;\n\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t}\n\n\t\tif ( optionalPointOnRay ) {\n\n\t\t\toptionalPointOnRay.copy( this.origin ).addScaledVector( this.direction, s0 );\n\n\t\t}\n\n\t\tif ( optionalPointOnSegment ) {\n\n\t\t\toptionalPointOnSegment.copy( _segCenter ).addScaledVector( _segDir, s1 );\n\n\t\t}\n\n\t\treturn sqrDist;\n\n\t}\n\n\tintersectSphere( sphere, target ) {\n\n\t\t_vector$a.subVectors( sphere.center, this.origin );\n\t\tconst tca = _vector$a.dot( this.direction );\n\t\tconst d2 = _vector$a.dot( _vector$a ) - tca * tca;\n\t\tconst radius2 = sphere.radius * sphere.radius;\n\n\t\tif ( d2 > radius2 ) return null;\n\n\t\tconst thc = Math.sqrt( radius2 - d2 );\n\n\t\t// t0 = first intersect point - entrance on front of sphere\n\t\tconst t0 = tca - thc;\n\n\t\t// t1 = second intersect point - exit point on back of sphere\n\t\tconst t1 = tca + thc;\n\n\t\t// test to see if t1 is behind the ray - if so, return null\n\t\tif ( t1 < 0 ) return null;\n\n\t\t// test to see if t0 is behind the ray:\n\t\t// if it is, the ray is inside the sphere, so return the second exit point scaled by t1,\n\t\t// in order to always return an intersect point that is in front of the ray.\n\t\tif ( t0 < 0 ) return this.at( t1, target );\n\n\t\t// else t0 is in front of the ray, so return the first collision point scaled by t0\n\t\treturn this.at( t0, target );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\treturn this.distanceSqToPoint( sphere.center ) <= ( sphere.radius * sphere.radius );\n\n\t}\n\n\tdistanceToPlane( plane ) {\n\n\t\tconst denominator = plane.normal.dot( this.direction );\n\n\t\tif ( denominator === 0 ) {\n\n\t\t\t// line is coplanar, return origin\n\t\t\tif ( plane.distanceToPoint( this.origin ) === 0 ) {\n\n\t\t\t\treturn 0;\n\n\t\t\t}\n\n\t\t\t// Null is preferable to undefined since undefined means.... it is undefined\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst t = - ( this.origin.dot( plane.normal ) + plane.constant ) / denominator;\n\n\t\t// Return if the ray never intersects the plane\n\n\t\treturn t >= 0 ? t : null;\n\n\t}\n\n\tintersectPlane( plane, target ) {\n\n\t\tconst t = this.distanceToPlane( plane );\n\n\t\tif ( t === null ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn this.at( t, target );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\t// check if the ray lies on the plane first\n\n\t\tconst distToPoint = plane.distanceToPoint( this.origin );\n\n\t\tif ( distToPoint === 0 ) {\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\tconst denominator = plane.normal.dot( this.direction );\n\n\t\tif ( denominator * distToPoint < 0 ) {\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\t// ray origin is behind the plane (and is pointing behind it)\n\n\t\treturn false;\n\n\t}\n\n\tintersectBox( box, target ) {\n\n\t\tlet tmin, tmax, tymin, tymax, tzmin, tzmax;\n\n\t\tconst invdirx = 1 / this.direction.x,\n\t\t\tinvdiry = 1 / this.direction.y,\n\t\t\tinvdirz = 1 / this.direction.z;\n\n\t\tconst origin = this.origin;\n\n\t\tif ( invdirx >= 0 ) {\n\n\t\t\ttmin = ( box.min.x - origin.x ) * invdirx;\n\t\t\ttmax = ( box.max.x - origin.x ) * invdirx;\n\n\t\t} else {\n\n\t\t\ttmin = ( box.max.x - origin.x ) * invdirx;\n\t\t\ttmax = ( box.min.x - origin.x ) * invdirx;\n\n\t\t}\n\n\t\tif ( invdiry >= 0 ) {\n\n\t\t\ttymin = ( box.min.y - origin.y ) * invdiry;\n\t\t\ttymax = ( box.max.y - origin.y ) * invdiry;\n\n\t\t} else {\n\n\t\t\ttymin = ( box.max.y - origin.y ) * invdiry;\n\t\t\ttymax = ( box.min.y - origin.y ) * invdiry;\n\n\t\t}\n\n\t\tif ( ( tmin > tymax ) || ( tymin > tmax ) ) return null;\n\n\t\tif ( tymin > tmin || isNaN( tmin ) ) tmin = tymin;\n\n\t\tif ( tymax < tmax || isNaN( tmax ) ) tmax = tymax;\n\n\t\tif ( invdirz >= 0 ) {\n\n\t\t\ttzmin = ( box.min.z - origin.z ) * invdirz;\n\t\t\ttzmax = ( box.max.z - origin.z ) * invdirz;\n\n\t\t} else {\n\n\t\t\ttzmin = ( box.max.z - origin.z ) * invdirz;\n\t\t\ttzmax = ( box.min.z - origin.z ) * invdirz;\n\n\t\t}\n\n\t\tif ( ( tmin > tzmax ) || ( tzmin > tmax ) ) return null;\n\n\t\tif ( tzmin > tmin || tmin !== tmin ) tmin = tzmin;\n\n\t\tif ( tzmax < tmax || tmax !== tmax ) tmax = tzmax;\n\n\t\t//return point closest to the ray (positive side)\n\n\t\tif ( tmax < 0 ) return null;\n\n\t\treturn this.at( tmin >= 0 ? tmin : tmax, target );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn this.intersectBox( box, _vector$a ) !== null;\n\n\t}\n\n\tintersectTriangle( a, b, c, backfaceCulling, target ) {\n\n\t\t// Compute the offset origin, edges, and normal.\n\n\t\t// from https://github.com/pmjoniak/GeometricTools/blob/master/GTEngine/Include/Mathematics/GteIntrRay3Triangle3.h\n\n\t\t_edge1.subVectors( b, a );\n\t\t_edge2.subVectors( c, a );\n\t\t_normal$1.crossVectors( _edge1, _edge2 );\n\n\t\t// Solve Q + t*D = b1*E1 + b2*E2 (Q = kDiff, D = ray direction,\n\t\t// E1 = kEdge1, E2 = kEdge2, N = Cross(E1,E2)) by\n\t\t// |Dot(D,N)|*b1 = sign(Dot(D,N))*Dot(D,Cross(Q,E2))\n\t\t// |Dot(D,N)|*b2 = sign(Dot(D,N))*Dot(D,Cross(E1,Q))\n\t\t// |Dot(D,N)|*t = -sign(Dot(D,N))*Dot(Q,N)\n\t\tlet DdN = this.direction.dot( _normal$1 );\n\t\tlet sign;\n\n\t\tif ( DdN > 0 ) {\n\n\t\t\tif ( backfaceCulling ) return null;\n\t\t\tsign = 1;\n\n\t\t} else if ( DdN < 0 ) {\n\n\t\t\tsign = - 1;\n\t\t\tDdN = - DdN;\n\n\t\t} else {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t_diff.subVectors( this.origin, a );\n\t\tconst DdQxE2 = sign * this.direction.dot( _edge2.crossVectors( _diff, _edge2 ) );\n\n\t\t// b1 < 0, no intersection\n\t\tif ( DdQxE2 < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst DdE1xQ = sign * this.direction.dot( _edge1.cross( _diff ) );\n\n\t\t// b2 < 0, no intersection\n\t\tif ( DdE1xQ < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// b1+b2 > 1, no intersection\n\t\tif ( DdQxE2 + DdE1xQ > DdN ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// Line intersects triangle, check if ray does.\n\t\tconst QdN = - sign * _diff.dot( _normal$1 );\n\n\t\t// t < 0, no intersection\n\t\tif ( QdN < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// Ray intersects triangle.\n\t\treturn this.at( QdN / DdN, target );\n\n\t}\n\n\tapplyMatrix4( matrix4 ) {\n\n\t\tthis.origin.applyMatrix4( matrix4 );\n\t\tthis.direction.transformDirection( matrix4 );\n\n\t\treturn this;\n\n\t}\n\n\tequals( ray ) {\n\n\t\treturn ray.origin.equals( this.origin ) && ray.direction.equals( this.direction );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass Matrix4 {\n\n\tconstructor( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 ) {\n\n\t\tMatrix4.prototype.isMatrix4 = true;\n\n\t\tthis.elements = [\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, 1, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t];\n\n\t\tif ( n11 !== undefined ) {\n\n\t\t\tthis.set( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 );\n\n\t\t}\n\n\t}\n\n\tset( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] = n11; te[ 4 ] = n12; te[ 8 ] = n13; te[ 12 ] = n14;\n\t\tte[ 1 ] = n21; te[ 5 ] = n22; te[ 9 ] = n23; te[ 13 ] = n24;\n\t\tte[ 2 ] = n31; te[ 6 ] = n32; te[ 10 ] = n33; te[ 14 ] = n34;\n\t\tte[ 3 ] = n41; te[ 7 ] = n42; te[ 11 ] = n43; te[ 15 ] = n44;\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, 1, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Matrix4().fromArray( this.elements );\n\n\t}\n\n\tcopy( m ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tte[ 0 ] = me[ 0 ]; te[ 1 ] = me[ 1 ]; te[ 2 ] = me[ 2 ]; te[ 3 ] = me[ 3 ];\n\t\tte[ 4 ] = me[ 4 ]; te[ 5 ] = me[ 5 ]; te[ 6 ] = me[ 6 ]; te[ 7 ] = me[ 7 ];\n\t\tte[ 8 ] = me[ 8 ]; te[ 9 ] = me[ 9 ]; te[ 10 ] = me[ 10 ]; te[ 11 ] = me[ 11 ];\n\t\tte[ 12 ] = me[ 12 ]; te[ 13 ] = me[ 13 ]; te[ 14 ] = me[ 14 ]; te[ 15 ] = me[ 15 ];\n\n\t\treturn this;\n\n\t}\n\n\tcopyPosition( m ) {\n\n\t\tconst te = this.elements, me = m.elements;\n\n\t\tte[ 12 ] = me[ 12 ];\n\t\tte[ 13 ] = me[ 13 ];\n\t\tte[ 14 ] = me[ 14 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrix3( m ) {\n\n\t\tconst me = m.elements;\n\n\t\tthis.set(\n\n\t\t\tme[ 0 ], me[ 3 ], me[ 6 ], 0,\n\t\t\tme[ 1 ], me[ 4 ], me[ 7 ], 0,\n\t\t\tme[ 2 ], me[ 5 ], me[ 8 ], 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\textractBasis( xAxis, yAxis, zAxis ) {\n\n\t\txAxis.setFromMatrixColumn( this, 0 );\n\t\tyAxis.setFromMatrixColumn( this, 1 );\n\t\tzAxis.setFromMatrixColumn( this, 2 );\n\n\t\treturn this;\n\n\t}\n\n\tmakeBasis( xAxis, yAxis, zAxis ) {\n\n\t\tthis.set(\n\t\t\txAxis.x, yAxis.x, zAxis.x, 0,\n\t\t\txAxis.y, yAxis.y, zAxis.y, 0,\n\t\t\txAxis.z, yAxis.z, zAxis.z, 0,\n\t\t\t0, 0, 0, 1\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\textractRotation( m ) {\n\n\t\t// this method does not support reflection matrices\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tconst scaleX = 1 / _v1$5.setFromMatrixColumn( m, 0 ).length();\n\t\tconst scaleY = 1 / _v1$5.setFromMatrixColumn( m, 1 ).length();\n\t\tconst scaleZ = 1 / _v1$5.setFromMatrixColumn( m, 2 ).length();\n\n\t\tte[ 0 ] = me[ 0 ] * scaleX;\n\t\tte[ 1 ] = me[ 1 ] * scaleX;\n\t\tte[ 2 ] = me[ 2 ] * scaleX;\n\t\tte[ 3 ] = 0;\n\n\t\tte[ 4 ] = me[ 4 ] * scaleY;\n\t\tte[ 5 ] = me[ 5 ] * scaleY;\n\t\tte[ 6 ] = me[ 6 ] * scaleY;\n\t\tte[ 7 ] = 0;\n\n\t\tte[ 8 ] = me[ 8 ] * scaleZ;\n\t\tte[ 9 ] = me[ 9 ] * scaleZ;\n\t\tte[ 10 ] = me[ 10 ] * scaleZ;\n\t\tte[ 11 ] = 0;\n\n\t\tte[ 12 ] = 0;\n\t\tte[ 13 ] = 0;\n\t\tte[ 14 ] = 0;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationFromEuler( euler ) {\n\n\t\tconst te = this.elements;\n\n\t\tconst x = euler.x, y = euler.y, z = euler.z;\n\t\tconst a = Math.cos( x ), b = Math.sin( x );\n\t\tconst c = Math.cos( y ), d = Math.sin( y );\n\t\tconst e = Math.cos( z ), f = Math.sin( z );\n\n\t\tif ( euler.order === 'XYZ' ) {\n\n\t\t\tconst ae = a * e, af = a * f, be = b * e, bf = b * f;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = - c * f;\n\t\t\tte[ 8 ] = d;\n\n\t\t\tte[ 1 ] = af + be * d;\n\t\t\tte[ 5 ] = ae - bf * d;\n\t\t\tte[ 9 ] = - b * c;\n\n\t\t\tte[ 2 ] = bf - ae * d;\n\t\t\tte[ 6 ] = be + af * d;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'YXZ' ) {\n\n\t\t\tconst ce = c * e, cf = c * f, de = d * e, df = d * f;\n\n\t\t\tte[ 0 ] = ce + df * b;\n\t\t\tte[ 4 ] = de * b - cf;\n\t\t\tte[ 8 ] = a * d;\n\n\t\t\tte[ 1 ] = a * f;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = - b;\n\n\t\t\tte[ 2 ] = cf * b - de;\n\t\t\tte[ 6 ] = df + ce * b;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'ZXY' ) {\n\n\t\t\tconst ce = c * e, cf = c * f, de = d * e, df = d * f;\n\n\t\t\tte[ 0 ] = ce - df * b;\n\t\t\tte[ 4 ] = - a * f;\n\t\t\tte[ 8 ] = de + cf * b;\n\n\t\t\tte[ 1 ] = cf + de * b;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = df - ce * b;\n\n\t\t\tte[ 2 ] = - a * d;\n\t\t\tte[ 6 ] = b;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'ZYX' ) {\n\n\t\t\tconst ae = a * e, af = a * f, be = b * e, bf = b * f;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = be * d - af;\n\t\t\tte[ 8 ] = ae * d + bf;\n\n\t\t\tte[ 1 ] = c * f;\n\t\t\tte[ 5 ] = bf * d + ae;\n\t\t\tte[ 9 ] = af * d - be;\n\n\t\t\tte[ 2 ] = - d;\n\t\t\tte[ 6 ] = b * c;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'YZX' ) {\n\n\t\t\tconst ac = a * c, ad = a * d, bc = b * c, bd = b * d;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = bd - ac * f;\n\t\t\tte[ 8 ] = bc * f + ad;\n\n\t\t\tte[ 1 ] = f;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = - b * e;\n\n\t\t\tte[ 2 ] = - d * e;\n\t\t\tte[ 6 ] = ad * f + bc;\n\t\t\tte[ 10 ] = ac - bd * f;\n\n\t\t} else if ( euler.order === 'XZY' ) {\n\n\t\t\tconst ac = a * c, ad = a * d, bc = b * c, bd = b * d;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = - f;\n\t\t\tte[ 8 ] = d * e;\n\n\t\t\tte[ 1 ] = ac * f + bd;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = ad * f - bc;\n\n\t\t\tte[ 2 ] = bc * f - ad;\n\t\t\tte[ 6 ] = b * e;\n\t\t\tte[ 10 ] = bd * f + ac;\n\n\t\t}\n\n\t\t// bottom row\n\t\tte[ 3 ] = 0;\n\t\tte[ 7 ] = 0;\n\t\tte[ 11 ] = 0;\n\n\t\t// last column\n\t\tte[ 12 ] = 0;\n\t\tte[ 13 ] = 0;\n\t\tte[ 14 ] = 0;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationFromQuaternion( q ) {\n\n\t\treturn this.compose( _zero, q, _one );\n\n\t}\n\n\tlookAt( eye, target, up ) {\n\n\t\tconst te = this.elements;\n\n\t\t_z.subVectors( eye, target );\n\n\t\tif ( _z.lengthSq() === 0 ) {\n\n\t\t\t// eye and target are in the same position\n\n\t\t\t_z.z = 1;\n\n\t\t}\n\n\t\t_z.normalize();\n\t\t_x.crossVectors( up, _z );\n\n\t\tif ( _x.lengthSq() === 0 ) {\n\n\t\t\t// up and z are parallel\n\n\t\t\tif ( Math.abs( up.z ) === 1 ) {\n\n\t\t\t\t_z.x += 0.0001;\n\n\t\t\t} else {\n\n\t\t\t\t_z.z += 0.0001;\n\n\t\t\t}\n\n\t\t\t_z.normalize();\n\t\t\t_x.crossVectors( up, _z );\n\n\t\t}\n\n\t\t_x.normalize();\n\t\t_y.crossVectors( _z, _x );\n\n\t\tte[ 0 ] = _x.x; te[ 4 ] = _y.x; te[ 8 ] = _z.x;\n\t\tte[ 1 ] = _x.y; te[ 5 ] = _y.y; te[ 9 ] = _z.y;\n\t\tte[ 2 ] = _x.z; te[ 6 ] = _y.z; te[ 10 ] = _z.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( m ) {\n\n\t\treturn this.multiplyMatrices( this, m );\n\n\t}\n\n\tpremultiply( m ) {\n\n\t\treturn this.multiplyMatrices( m, this );\n\n\t}\n\n\tmultiplyMatrices( a, b ) {\n\n\t\tconst ae = a.elements;\n\t\tconst be = b.elements;\n\t\tconst te = this.elements;\n\n\t\tconst a11 = ae[ 0 ], a12 = ae[ 4 ], a13 = ae[ 8 ], a14 = ae[ 12 ];\n\t\tconst a21 = ae[ 1 ], a22 = ae[ 5 ], a23 = ae[ 9 ], a24 = ae[ 13 ];\n\t\tconst a31 = ae[ 2 ], a32 = ae[ 6 ], a33 = ae[ 10 ], a34 = ae[ 14 ];\n\t\tconst a41 = ae[ 3 ], a42 = ae[ 7 ], a43 = ae[ 11 ], a44 = ae[ 15 ];\n\n\t\tconst b11 = be[ 0 ], b12 = be[ 4 ], b13 = be[ 8 ], b14 = be[ 12 ];\n\t\tconst b21 = be[ 1 ], b22 = be[ 5 ], b23 = be[ 9 ], b24 = be[ 13 ];\n\t\tconst b31 = be[ 2 ], b32 = be[ 6 ], b33 = be[ 10 ], b34 = be[ 14 ];\n\t\tconst b41 = be[ 3 ], b42 = be[ 7 ], b43 = be[ 11 ], b44 = be[ 15 ];\n\n\t\tte[ 0 ] = a11 * b11 + a12 * b21 + a13 * b31 + a14 * b41;\n\t\tte[ 4 ] = a11 * b12 + a12 * b22 + a13 * b32 + a14 * b42;\n\t\tte[ 8 ] = a11 * b13 + a12 * b23 + a13 * b33 + a14 * b43;\n\t\tte[ 12 ] = a11 * b14 + a12 * b24 + a13 * b34 + a14 * b44;\n\n\t\tte[ 1 ] = a21 * b11 + a22 * b21 + a23 * b31 + a24 * b41;\n\t\tte[ 5 ] = a21 * b12 + a22 * b22 + a23 * b32 + a24 * b42;\n\t\tte[ 9 ] = a21 * b13 + a22 * b23 + a23 * b33 + a24 * b43;\n\t\tte[ 13 ] = a21 * b14 + a22 * b24 + a23 * b34 + a24 * b44;\n\n\t\tte[ 2 ] = a31 * b11 + a32 * b21 + a33 * b31 + a34 * b41;\n\t\tte[ 6 ] = a31 * b12 + a32 * b22 + a33 * b32 + a34 * b42;\n\t\tte[ 10 ] = a31 * b13 + a32 * b23 + a33 * b33 + a34 * b43;\n\t\tte[ 14 ] = a31 * b14 + a32 * b24 + a33 * b34 + a34 * b44;\n\n\t\tte[ 3 ] = a41 * b11 + a42 * b21 + a43 * b31 + a44 * b41;\n\t\tte[ 7 ] = a41 * b12 + a42 * b22 + a43 * b32 + a44 * b42;\n\t\tte[ 11 ] = a41 * b13 + a42 * b23 + a43 * b33 + a44 * b43;\n\t\tte[ 15 ] = a41 * b14 + a42 * b24 + a43 * b34 + a44 * b44;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] *= s; te[ 4 ] *= s; te[ 8 ] *= s; te[ 12 ] *= s;\n\t\tte[ 1 ] *= s; te[ 5 ] *= s; te[ 9 ] *= s; te[ 13 ] *= s;\n\t\tte[ 2 ] *= s; te[ 6 ] *= s; te[ 10 ] *= s; te[ 14 ] *= s;\n\t\tte[ 3 ] *= s; te[ 7 ] *= s; te[ 11 ] *= s; te[ 15 ] *= s;\n\n\t\treturn this;\n\n\t}\n\n\tdeterminant() {\n\n\t\tconst te = this.elements;\n\n\t\tconst n11 = te[ 0 ], n12 = te[ 4 ], n13 = te[ 8 ], n14 = te[ 12 ];\n\t\tconst n21 = te[ 1 ], n22 = te[ 5 ], n23 = te[ 9 ], n24 = te[ 13 ];\n\t\tconst n31 = te[ 2 ], n32 = te[ 6 ], n33 = te[ 10 ], n34 = te[ 14 ];\n\t\tconst n41 = te[ 3 ], n42 = te[ 7 ], n43 = te[ 11 ], n44 = te[ 15 ];\n\n\t\t//TODO: make this more efficient\n\t\t//( based on http://www.euclideanspace.com/maths/algebra/matrix/functions/inverse/fourD/index.htm )\n\n\t\treturn (\n\t\t\tn41 * (\n\t\t\t\t+ n14 * n23 * n32\n\t\t\t\t - n13 * n24 * n32\n\t\t\t\t - n14 * n22 * n33\n\t\t\t\t + n12 * n24 * n33\n\t\t\t\t + n13 * n22 * n34\n\t\t\t\t - n12 * n23 * n34\n\t\t\t) +\n\t\t\tn42 * (\n\t\t\t\t+ n11 * n23 * n34\n\t\t\t\t - n11 * n24 * n33\n\t\t\t\t + n14 * n21 * n33\n\t\t\t\t - n13 * n21 * n34\n\t\t\t\t + n13 * n24 * n31\n\t\t\t\t - n14 * n23 * n31\n\t\t\t) +\n\t\t\tn43 * (\n\t\t\t\t+ n11 * n24 * n32\n\t\t\t\t - n11 * n22 * n34\n\t\t\t\t - n14 * n21 * n32\n\t\t\t\t + n12 * n21 * n34\n\t\t\t\t + n14 * n22 * n31\n\t\t\t\t - n12 * n24 * n31\n\t\t\t) +\n\t\t\tn44 * (\n\t\t\t\t- n13 * n22 * n31\n\t\t\t\t - n11 * n23 * n32\n\t\t\t\t + n11 * n22 * n33\n\t\t\t\t + n13 * n21 * n32\n\t\t\t\t - n12 * n21 * n33\n\t\t\t\t + n12 * n23 * n31\n\t\t\t)\n\n\t\t);\n\n\t}\n\n\ttranspose() {\n\n\t\tconst te = this.elements;\n\t\tlet tmp;\n\n\t\ttmp = te[ 1 ]; te[ 1 ] = te[ 4 ]; te[ 4 ] = tmp;\n\t\ttmp = te[ 2 ]; te[ 2 ] = te[ 8 ]; te[ 8 ] = tmp;\n\t\ttmp = te[ 6 ]; te[ 6 ] = te[ 9 ]; te[ 9 ] = tmp;\n\n\t\ttmp = te[ 3 ]; te[ 3 ] = te[ 12 ]; te[ 12 ] = tmp;\n\t\ttmp = te[ 7 ]; te[ 7 ] = te[ 13 ]; te[ 13 ] = tmp;\n\t\ttmp = te[ 11 ]; te[ 11 ] = te[ 14 ]; te[ 14 ] = tmp;\n\n\t\treturn this;\n\n\t}\n\n\tsetPosition( x, y, z ) {\n\n\t\tconst te = this.elements;\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\tte[ 12 ] = x.x;\n\t\t\tte[ 13 ] = x.y;\n\t\t\tte[ 14 ] = x.z;\n\n\t\t} else {\n\n\t\t\tte[ 12 ] = x;\n\t\t\tte[ 13 ] = y;\n\t\t\tte[ 14 ] = z;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tinvert() {\n\n\t\t// based on http://www.euclideanspace.com/maths/algebra/matrix/functions/inverse/fourD/index.htm\n\t\tconst te = this.elements,\n\n\t\t\tn11 = te[ 0 ], n21 = te[ 1 ], n31 = te[ 2 ], n41 = te[ 3 ],\n\t\t\tn12 = te[ 4 ], n22 = te[ 5 ], n32 = te[ 6 ], n42 = te[ 7 ],\n\t\t\tn13 = te[ 8 ], n23 = te[ 9 ], n33 = te[ 10 ], n43 = te[ 11 ],\n\t\t\tn14 = te[ 12 ], n24 = te[ 13 ], n34 = te[ 14 ], n44 = te[ 15 ],\n\n\t\t\tt11 = n23 * n34 * n42 - n24 * n33 * n42 + n24 * n32 * n43 - n22 * n34 * n43 - n23 * n32 * n44 + n22 * n33 * n44,\n\t\t\tt12 = n14 * n33 * n42 - n13 * n34 * n42 - n14 * n32 * n43 + n12 * n34 * n43 + n13 * n32 * n44 - n12 * n33 * n44,\n\t\t\tt13 = n13 * n24 * n42 - n14 * n23 * n42 + n14 * n22 * n43 - n12 * n24 * n43 - n13 * n22 * n44 + n12 * n23 * n44,\n\t\t\tt14 = n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34;\n\n\t\tconst det = n11 * t11 + n21 * t12 + n31 * t13 + n41 * t14;\n\n\t\tif ( det === 0 ) return this.set( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 );\n\n\t\tconst detInv = 1 / det;\n\n\t\tte[ 0 ] = t11 * detInv;\n\t\tte[ 1 ] = ( n24 * n33 * n41 - n23 * n34 * n41 - n24 * n31 * n43 + n21 * n34 * n43 + n23 * n31 * n44 - n21 * n33 * n44 ) * detInv;\n\t\tte[ 2 ] = ( n22 * n34 * n41 - n24 * n32 * n41 + n24 * n31 * n42 - n21 * n34 * n42 - n22 * n31 * n44 + n21 * n32 * n44 ) * detInv;\n\t\tte[ 3 ] = ( n23 * n32 * n41 - n22 * n33 * n41 - n23 * n31 * n42 + n21 * n33 * n42 + n22 * n31 * n43 - n21 * n32 * n43 ) * detInv;\n\n\t\tte[ 4 ] = t12 * detInv;\n\t\tte[ 5 ] = ( n13 * n34 * n41 - n14 * n33 * n41 + n14 * n31 * n43 - n11 * n34 * n43 - n13 * n31 * n44 + n11 * n33 * n44 ) * detInv;\n\t\tte[ 6 ] = ( n14 * n32 * n41 - n12 * n34 * n41 - n14 * n31 * n42 + n11 * n34 * n42 + n12 * n31 * n44 - n11 * n32 * n44 ) * detInv;\n\t\tte[ 7 ] = ( n12 * n33 * n41 - n13 * n32 * n41 + n13 * n31 * n42 - n11 * n33 * n42 - n12 * n31 * n43 + n11 * n32 * n43 ) * detInv;\n\n\t\tte[ 8 ] = t13 * detInv;\n\t\tte[ 9 ] = ( n14 * n23 * n41 - n13 * n24 * n41 - n14 * n21 * n43 + n11 * n24 * n43 + n13 * n21 * n44 - n11 * n23 * n44 ) * detInv;\n\t\tte[ 10 ] = ( n12 * n24 * n41 - n14 * n22 * n41 + n14 * n21 * n42 - n11 * n24 * n42 - n12 * n21 * n44 + n11 * n22 * n44 ) * detInv;\n\t\tte[ 11 ] = ( n13 * n22 * n41 - n12 * n23 * n41 - n13 * n21 * n42 + n11 * n23 * n42 + n12 * n21 * n43 - n11 * n22 * n43 ) * detInv;\n\n\t\tte[ 12 ] = t14 * detInv;\n\t\tte[ 13 ] = ( n13 * n24 * n31 - n14 * n23 * n31 + n14 * n21 * n33 - n11 * n24 * n33 - n13 * n21 * n34 + n11 * n23 * n34 ) * detInv;\n\t\tte[ 14 ] = ( n14 * n22 * n31 - n12 * n24 * n31 - n14 * n21 * n32 + n11 * n24 * n32 + n12 * n21 * n34 - n11 * n22 * n34 ) * detInv;\n\t\tte[ 15 ] = ( n12 * n23 * n31 - n13 * n22 * n31 + n13 * n21 * n32 - n11 * n23 * n32 - n12 * n21 * n33 + n11 * n22 * n33 ) * detInv;\n\n\t\treturn this;\n\n\t}\n\n\tscale( v ) {\n\n\t\tconst te = this.elements;\n\t\tconst x = v.x, y = v.y, z = v.z;\n\n\t\tte[ 0 ] *= x; te[ 4 ] *= y; te[ 8 ] *= z;\n\t\tte[ 1 ] *= x; te[ 5 ] *= y; te[ 9 ] *= z;\n\t\tte[ 2 ] *= x; te[ 6 ] *= y; te[ 10 ] *= z;\n\t\tte[ 3 ] *= x; te[ 7 ] *= y; te[ 11 ] *= z;\n\n\t\treturn this;\n\n\t}\n\n\tgetMaxScaleOnAxis() {\n\n\t\tconst te = this.elements;\n\n\t\tconst scaleXSq = te[ 0 ] * te[ 0 ] + te[ 1 ] * te[ 1 ] + te[ 2 ] * te[ 2 ];\n\t\tconst scaleYSq = te[ 4 ] * te[ 4 ] + te[ 5 ] * te[ 5 ] + te[ 6 ] * te[ 6 ];\n\t\tconst scaleZSq = te[ 8 ] * te[ 8 ] + te[ 9 ] * te[ 9 ] + te[ 10 ] * te[ 10 ];\n\n\t\treturn Math.sqrt( Math.max( scaleXSq, scaleYSq, scaleZSq ) );\n\n\t}\n\n\tmakeTranslation( x, y, z ) {\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, 0, x.x,\n\t\t\t\t0, 1, 0, x.y,\n\t\t\t\t0, 0, 1, x.z,\n\t\t\t\t0, 0, 0, 1\n\n\t\t\t);\n\n\t\t} else {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, 0, x,\n\t\t\t\t0, 1, 0, y,\n\t\t\t\t0, 0, 1, z,\n\t\t\t\t0, 0, 0, 1\n\n\t\t\t);\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationX( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, c, - s, 0,\n\t\t\t0, s, c, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationY( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\t c, 0, s, 0,\n\t\t\t 0, 1, 0, 0,\n\t\t\t- s, 0, c, 0,\n\t\t\t 0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationZ( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\tc, - s, 0, 0,\n\t\t\ts, c, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationAxis( axis, angle ) {\n\n\t\t// Based on http://www.gamedev.net/reference/articles/article1199.asp\n\n\t\tconst c = Math.cos( angle );\n\t\tconst s = Math.sin( angle );\n\t\tconst t = 1 - c;\n\t\tconst x = axis.x, y = axis.y, z = axis.z;\n\t\tconst tx = t * x, ty = t * y;\n\n\t\tthis.set(\n\n\t\t\ttx * x + c, tx * y - s * z, tx * z + s * y, 0,\n\t\t\ttx * y + s * z, ty * y + c, ty * z - s * x, 0,\n\t\t\ttx * z - s * y, ty * z + s * x, t * z * z + c, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeScale( x, y, z ) {\n\n\t\tthis.set(\n\n\t\t\tx, 0, 0, 0,\n\t\t\t0, y, 0, 0,\n\t\t\t0, 0, z, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeShear( xy, xz, yx, yz, zx, zy ) {\n\n\t\tthis.set(\n\n\t\t\t1, yx, zx, 0,\n\t\t\txy, 1, zy, 0,\n\t\t\txz, yz, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tcompose( position, quaternion, scale ) {\n\n\t\tconst te = this.elements;\n\n\t\tconst x = quaternion._x, y = quaternion._y, z = quaternion._z, w = quaternion._w;\n\t\tconst x2 = x + x,\ty2 = y + y, z2 = z + z;\n\t\tconst xx = x * x2, xy = x * y2, xz = x * z2;\n\t\tconst yy = y * y2, yz = y * z2, zz = z * z2;\n\t\tconst wx = w * x2, wy = w * y2, wz = w * z2;\n\n\t\tconst sx = scale.x, sy = scale.y, sz = scale.z;\n\n\t\tte[ 0 ] = ( 1 - ( yy + zz ) ) * sx;\n\t\tte[ 1 ] = ( xy + wz ) * sx;\n\t\tte[ 2 ] = ( xz - wy ) * sx;\n\t\tte[ 3 ] = 0;\n\n\t\tte[ 4 ] = ( xy - wz ) * sy;\n\t\tte[ 5 ] = ( 1 - ( xx + zz ) ) * sy;\n\t\tte[ 6 ] = ( yz + wx ) * sy;\n\t\tte[ 7 ] = 0;\n\n\t\tte[ 8 ] = ( xz + wy ) * sz;\n\t\tte[ 9 ] = ( yz - wx ) * sz;\n\t\tte[ 10 ] = ( 1 - ( xx + yy ) ) * sz;\n\t\tte[ 11 ] = 0;\n\n\t\tte[ 12 ] = position.x;\n\t\tte[ 13 ] = position.y;\n\t\tte[ 14 ] = position.z;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tdecompose( position, quaternion, scale ) {\n\n\t\tconst te = this.elements;\n\n\t\tlet sx = _v1$5.set( te[ 0 ], te[ 1 ], te[ 2 ] ).length();\n\t\tconst sy = _v1$5.set( te[ 4 ], te[ 5 ], te[ 6 ] ).length();\n\t\tconst sz = _v1$5.set( te[ 8 ], te[ 9 ], te[ 10 ] ).length();\n\n\t\t// if determine is negative, we need to invert one scale\n\t\tconst det = this.determinant();\n\t\tif ( det < 0 ) sx = - sx;\n\n\t\tposition.x = te[ 12 ];\n\t\tposition.y = te[ 13 ];\n\t\tposition.z = te[ 14 ];\n\n\t\t// scale the rotation part\n\t\t_m1$2.copy( this );\n\n\t\tconst invSX = 1 / sx;\n\t\tconst invSY = 1 / sy;\n\t\tconst invSZ = 1 / sz;\n\n\t\t_m1$2.elements[ 0 ] *= invSX;\n\t\t_m1$2.elements[ 1 ] *= invSX;\n\t\t_m1$2.elements[ 2 ] *= invSX;\n\n\t\t_m1$2.elements[ 4 ] *= invSY;\n\t\t_m1$2.elements[ 5 ] *= invSY;\n\t\t_m1$2.elements[ 6 ] *= invSY;\n\n\t\t_m1$2.elements[ 8 ] *= invSZ;\n\t\t_m1$2.elements[ 9 ] *= invSZ;\n\t\t_m1$2.elements[ 10 ] *= invSZ;\n\n\t\tquaternion.setFromRotationMatrix( _m1$2 );\n\n\t\tscale.x = sx;\n\t\tscale.y = sy;\n\t\tscale.z = sz;\n\n\t\treturn this;\n\n\t}\n\n\tmakePerspective( left, right, top, bottom, near, far, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst te = this.elements;\n\t\tconst x = 2 * near / ( right - left );\n\t\tconst y = 2 * near / ( top - bottom );\n\n\t\tconst a = ( right + left ) / ( right - left );\n\t\tconst b = ( top + bottom ) / ( top - bottom );\n\n\t\tlet c, d;\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tc = - ( far + near ) / ( far - near );\n\t\t\td = ( - 2 * far * near ) / ( far - near );\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tc = - far / ( far - near );\n\t\t\td = ( - far * near ) / ( far - near );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Matrix4.makePerspective(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tte[ 0 ] = x;\tte[ 4 ] = 0;\tte[ 8 ] = a; \tte[ 12 ] = 0;\n\t\tte[ 1 ] = 0;\tte[ 5 ] = y;\tte[ 9 ] = b; \tte[ 13 ] = 0;\n\t\tte[ 2 ] = 0;\tte[ 6 ] = 0;\tte[ 10 ] = c; \tte[ 14 ] = d;\n\t\tte[ 3 ] = 0;\tte[ 7 ] = 0;\tte[ 11 ] = - 1;\tte[ 15 ] = 0;\n\n\t\treturn this;\n\n\t}\n\n\tmakeOrthographic( left, right, top, bottom, near, far, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst te = this.elements;\n\t\tconst w = 1.0 / ( right - left );\n\t\tconst h = 1.0 / ( top - bottom );\n\t\tconst p = 1.0 / ( far - near );\n\n\t\tconst x = ( right + left ) * w;\n\t\tconst y = ( top + bottom ) * h;\n\n\t\tlet z, zInv;\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tz = ( far + near ) * p;\n\t\t\tzInv = - 2 * p;\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tz = near * p;\n\t\t\tzInv = - 1 * p;\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Matrix4.makeOrthographic(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tte[ 0 ] = 2 * w;\tte[ 4 ] = 0;\t\tte[ 8 ] = 0; \t\tte[ 12 ] = - x;\n\t\tte[ 1 ] = 0; \t\tte[ 5 ] = 2 * h;\tte[ 9 ] = 0; \t\tte[ 13 ] = - y;\n\t\tte[ 2 ] = 0; \t\tte[ 6 ] = 0;\t\tte[ 10 ] = zInv;\tte[ 14 ] = - z;\n\t\tte[ 3 ] = 0; \t\tte[ 7 ] = 0;\t\tte[ 11 ] = 0;\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tequals( matrix ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = matrix.elements;\n\n\t\tfor ( let i = 0; i < 16; i ++ ) {\n\n\t\t\tif ( te[ i ] !== me[ i ] ) return false;\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tfor ( let i = 0; i < 16; i ++ ) {\n\n\t\t\tthis.elements[ i ] = array[ i + offset ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst te = this.elements;\n\n\t\tarray[ offset ] = te[ 0 ];\n\t\tarray[ offset + 1 ] = te[ 1 ];\n\t\tarray[ offset + 2 ] = te[ 2 ];\n\t\tarray[ offset + 3 ] = te[ 3 ];\n\n\t\tarray[ offset + 4 ] = te[ 4 ];\n\t\tarray[ offset + 5 ] = te[ 5 ];\n\t\tarray[ offset + 6 ] = te[ 6 ];\n\t\tarray[ offset + 7 ] = te[ 7 ];\n\n\t\tarray[ offset + 8 ] = te[ 8 ];\n\t\tarray[ offset + 9 ] = te[ 9 ];\n\t\tarray[ offset + 10 ] = te[ 10 ];\n\t\tarray[ offset + 11 ] = te[ 11 ];\n\n\t\tarray[ offset + 12 ] = te[ 12 ];\n\t\tarray[ offset + 13 ] = te[ 13 ];\n\t\tarray[ offset + 14 ] = te[ 14 ];\n\t\tarray[ offset + 15 ] = te[ 15 ];\n\n\t\treturn array;\n\n\t}\n\n}\n\nconst _v1$5 = /*@__PURE__*/ new Vector3();\nconst _m1$2 = /*@__PURE__*/ new Matrix4();\nconst _zero = /*@__PURE__*/ new Vector3( 0, 0, 0 );\nconst _one = /*@__PURE__*/ new Vector3( 1, 1, 1 );\nconst _x = /*@__PURE__*/ new Vector3();\nconst _y = /*@__PURE__*/ new Vector3();\nconst _z = /*@__PURE__*/ new Vector3();\n\nconst _matrix$1 = /*@__PURE__*/ new Matrix4();\nconst _quaternion$3 = /*@__PURE__*/ new Quaternion();\n\nclass Euler {\n\n\tconstructor( x = 0, y = 0, z = 0, order = Euler.DEFAULT_ORDER ) {\n\n\t\tthis.isEuler = true;\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._order = order;\n\n\t}\n\n\tget x() {\n\n\t\treturn this._x;\n\n\t}\n\n\tset x( value ) {\n\n\t\tthis._x = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget y() {\n\n\t\treturn this._y;\n\n\t}\n\n\tset y( value ) {\n\n\t\tthis._y = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget z() {\n\n\t\treturn this._z;\n\n\t}\n\n\tset z( value ) {\n\n\t\tthis._z = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget order() {\n\n\t\treturn this._order;\n\n\t}\n\n\tset order( value ) {\n\n\t\tthis._order = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tset( x, y, z, order = this._order ) {\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._order = order;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this._x, this._y, this._z, this._order );\n\n\t}\n\n\tcopy( euler ) {\n\n\t\tthis._x = euler._x;\n\t\tthis._y = euler._y;\n\t\tthis._z = euler._z;\n\t\tthis._order = euler._order;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromRotationMatrix( m, order = this._order, update = true ) {\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tconst te = m.elements;\n\t\tconst m11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ];\n\t\tconst m21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ];\n\t\tconst m31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ];\n\n\t\tswitch ( order ) {\n\n\t\t\tcase 'XYZ':\n\n\t\t\t\tthis._y = Math.asin( clamp( m13, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m13 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m33 );\n\t\t\t\t\tthis._z = Math.atan2( - m12, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m22 );\n\t\t\t\t\tthis._z = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'YXZ':\n\n\t\t\t\tthis._x = Math.asin( - clamp( m23, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m23 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._y = Math.atan2( m13, m33 );\n\t\t\t\t\tthis._z = Math.atan2( m21, m22 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._y = Math.atan2( - m31, m11 );\n\t\t\t\t\tthis._z = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZXY':\n\n\t\t\t\tthis._x = Math.asin( clamp( m32, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m32 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._y = Math.atan2( - m31, m33 );\n\t\t\t\t\tthis._z = Math.atan2( - m12, m22 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._y = 0;\n\t\t\t\t\tthis._z = Math.atan2( m21, m11 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZYX':\n\n\t\t\t\tthis._y = Math.asin( - clamp( m31, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m31 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m33 );\n\t\t\t\t\tthis._z = Math.atan2( m21, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = 0;\n\t\t\t\t\tthis._z = Math.atan2( - m12, m22 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'YZX':\n\n\t\t\t\tthis._z = Math.asin( clamp( m21, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m21 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m22 );\n\t\t\t\t\tthis._y = Math.atan2( - m31, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = 0;\n\t\t\t\t\tthis._y = Math.atan2( m13, m33 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'XZY':\n\n\t\t\t\tthis._z = Math.asin( - clamp( m12, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m12 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m22 );\n\t\t\t\t\tthis._y = Math.atan2( m13, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m33 );\n\t\t\t\t\tthis._y = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\n\t\t\t\tconsole.warn( 'THREE.Euler: .setFromRotationMatrix() encountered an unknown order: ' + order );\n\n\t\t}\n\n\t\tthis._order = order;\n\n\t\tif ( update === true ) this._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromQuaternion( q, order, update ) {\n\n\t\t_matrix$1.makeRotationFromQuaternion( q );\n\n\t\treturn this.setFromRotationMatrix( _matrix$1, order, update );\n\n\t}\n\n\tsetFromVector3( v, order = this._order ) {\n\n\t\treturn this.set( v.x, v.y, v.z, order );\n\n\t}\n\n\treorder( newOrder ) {\n\n\t\t// WARNING: this discards revolution information -bhouston\n\n\t\t_quaternion$3.setFromEuler( this );\n\n\t\treturn this.setFromQuaternion( _quaternion$3, newOrder );\n\n\t}\n\n\tequals( euler ) {\n\n\t\treturn ( euler._x === this._x ) && ( euler._y === this._y ) && ( euler._z === this._z ) && ( euler._order === this._order );\n\n\t}\n\n\tfromArray( array ) {\n\n\t\tthis._x = array[ 0 ];\n\t\tthis._y = array[ 1 ];\n\t\tthis._z = array[ 2 ];\n\t\tif ( array[ 3 ] !== undefined ) this._order = array[ 3 ];\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this._x;\n\t\tarray[ offset + 1 ] = this._y;\n\t\tarray[ offset + 2 ] = this._z;\n\t\tarray[ offset + 3 ] = this._order;\n\n\t\treturn array;\n\n\t}\n\n\t_onChange( callback ) {\n\n\t\tthis._onChangeCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\t_onChangeCallback() {}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this._x;\n\t\tyield this._y;\n\t\tyield this._z;\n\t\tyield this._order;\n\n\t}\n\n}\n\nEuler.DEFAULT_ORDER = 'XYZ';\n\nclass Layers {\n\n\tconstructor() {\n\n\t\tthis.mask = 1 | 0;\n\n\t}\n\n\tset( channel ) {\n\n\t\tthis.mask = ( 1 << channel | 0 ) >>> 0;\n\n\t}\n\n\tenable( channel ) {\n\n\t\tthis.mask |= 1 << channel | 0;\n\n\t}\n\n\tenableAll() {\n\n\t\tthis.mask = 0xffffffff | 0;\n\n\t}\n\n\ttoggle( channel ) {\n\n\t\tthis.mask ^= 1 << channel | 0;\n\n\t}\n\n\tdisable( channel ) {\n\n\t\tthis.mask &= ~ ( 1 << channel | 0 );\n\n\t}\n\n\tdisableAll() {\n\n\t\tthis.mask = 0;\n\n\t}\n\n\ttest( layers ) {\n\n\t\treturn ( this.mask & layers.mask ) !== 0;\n\n\t}\n\n\tisEnabled( channel ) {\n\n\t\treturn ( this.mask & ( 1 << channel | 0 ) ) !== 0;\n\n\t}\n\n}\n\nlet _object3DId = 0;\n\nconst _v1$4 = /*@__PURE__*/ new Vector3();\nconst _q1 = /*@__PURE__*/ new Quaternion();\nconst _m1$1 = /*@__PURE__*/ new Matrix4();\nconst _target = /*@__PURE__*/ new Vector3();\n\nconst _position$3 = /*@__PURE__*/ new Vector3();\nconst _scale$2 = /*@__PURE__*/ new Vector3();\nconst _quaternion$2 = /*@__PURE__*/ new Quaternion();\n\nconst _xAxis = /*@__PURE__*/ new Vector3( 1, 0, 0 );\nconst _yAxis = /*@__PURE__*/ new Vector3( 0, 1, 0 );\nconst _zAxis = /*@__PURE__*/ new Vector3( 0, 0, 1 );\n\nconst _addedEvent = { type: 'added' };\nconst _removedEvent = { type: 'removed' };\n\nclass Object3D extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isObject3D = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _object3DId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'Object3D';\n\n\t\tthis.parent = null;\n\t\tthis.children = [];\n\n\t\tthis.up = Object3D.DEFAULT_UP.clone();\n\n\t\tconst position = new Vector3();\n\t\tconst rotation = new Euler();\n\t\tconst quaternion = new Quaternion();\n\t\tconst scale = new Vector3( 1, 1, 1 );\n\n\t\tfunction onRotationChange() {\n\n\t\t\tquaternion.setFromEuler( rotation, false );\n\n\t\t}\n\n\t\tfunction onQuaternionChange() {\n\n\t\t\trotation.setFromQuaternion( quaternion, undefined, false );\n\n\t\t}\n\n\t\trotation._onChange( onRotationChange );\n\t\tquaternion._onChange( onQuaternionChange );\n\n\t\tObject.defineProperties( this, {\n\t\t\tposition: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: position\n\t\t\t},\n\t\t\trotation: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: rotation\n\t\t\t},\n\t\t\tquaternion: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: quaternion\n\t\t\t},\n\t\t\tscale: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: scale\n\t\t\t},\n\t\t\tmodelViewMatrix: {\n\t\t\t\tvalue: new Matrix4()\n\t\t\t},\n\t\t\tnormalMatrix: {\n\t\t\t\tvalue: new Matrix3()\n\t\t\t}\n\t\t} );\n\n\t\tthis.matrix = new Matrix4();\n\t\tthis.matrixWorld = new Matrix4();\n\n\t\tthis.matrixAutoUpdate = Object3D.DEFAULT_MATRIX_AUTO_UPDATE;\n\n\t\tthis.matrixWorldAutoUpdate = Object3D.DEFAULT_MATRIX_WORLD_AUTO_UPDATE; // checked by the renderer\n\t\tthis.matrixWorldNeedsUpdate = false;\n\n\t\tthis.layers = new Layers();\n\t\tthis.visible = true;\n\n\t\tthis.castShadow = false;\n\t\tthis.receiveShadow = false;\n\n\t\tthis.frustumCulled = true;\n\t\tthis.renderOrder = 0;\n\n\t\tthis.animations = [];\n\n\t\tthis.userData = {};\n\n\t}\n\n\tonBeforeShadow( /* renderer, object, camera, shadowCamera, geometry, depthMaterial, group */ ) {}\n\n\tonAfterShadow( /* renderer, object, camera, shadowCamera, geometry, depthMaterial, group */ ) {}\n\n\tonBeforeRender( /* renderer, scene, camera, geometry, material, group */ ) {}\n\n\tonAfterRender( /* renderer, scene, camera, geometry, material, group */ ) {}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tthis.matrix.premultiply( matrix );\n\n\t\tthis.matrix.decompose( this.position, this.quaternion, this.scale );\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\tthis.quaternion.premultiply( q );\n\n\t\treturn this;\n\n\t}\n\n\tsetRotationFromAxisAngle( axis, angle ) {\n\n\t\t// assumes axis is normalized\n\n\t\tthis.quaternion.setFromAxisAngle( axis, angle );\n\n\t}\n\n\tsetRotationFromEuler( euler ) {\n\n\t\tthis.quaternion.setFromEuler( euler, true );\n\n\t}\n\n\tsetRotationFromMatrix( m ) {\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tthis.quaternion.setFromRotationMatrix( m );\n\n\t}\n\n\tsetRotationFromQuaternion( q ) {\n\n\t\t// assumes q is normalized\n\n\t\tthis.quaternion.copy( q );\n\n\t}\n\n\trotateOnAxis( axis, angle ) {\n\n\t\t// rotate object on axis in object space\n\t\t// axis is assumed to be normalized\n\n\t\t_q1.setFromAxisAngle( axis, angle );\n\n\t\tthis.quaternion.multiply( _q1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateOnWorldAxis( axis, angle ) {\n\n\t\t// rotate object on axis in world space\n\t\t// axis is assumed to be normalized\n\t\t// method assumes no rotated parent\n\n\t\t_q1.setFromAxisAngle( axis, angle );\n\n\t\tthis.quaternion.premultiply( _q1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateX( angle ) {\n\n\t\treturn this.rotateOnAxis( _xAxis, angle );\n\n\t}\n\n\trotateY( angle ) {\n\n\t\treturn this.rotateOnAxis( _yAxis, angle );\n\n\t}\n\n\trotateZ( angle ) {\n\n\t\treturn this.rotateOnAxis( _zAxis, angle );\n\n\t}\n\n\ttranslateOnAxis( axis, distance ) {\n\n\t\t// translate object by distance along axis in object space\n\t\t// axis is assumed to be normalized\n\n\t\t_v1$4.copy( axis ).applyQuaternion( this.quaternion );\n\n\t\tthis.position.add( _v1$4.multiplyScalar( distance ) );\n\n\t\treturn this;\n\n\t}\n\n\ttranslateX( distance ) {\n\n\t\treturn this.translateOnAxis( _xAxis, distance );\n\n\t}\n\n\ttranslateY( distance ) {\n\n\t\treturn this.translateOnAxis( _yAxis, distance );\n\n\t}\n\n\ttranslateZ( distance ) {\n\n\t\treturn this.translateOnAxis( _zAxis, distance );\n\n\t}\n\n\tlocalToWorld( vector ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn vector.applyMatrix4( this.matrixWorld );\n\n\t}\n\n\tworldToLocal( vector ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn vector.applyMatrix4( _m1$1.copy( this.matrixWorld ).invert() );\n\n\t}\n\n\tlookAt( x, y, z ) {\n\n\t\t// This method does not support objects having non-uniformly-scaled parent(s)\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\t_target.copy( x );\n\n\t\t} else {\n\n\t\t\t_target.set( x, y, z );\n\n\t\t}\n\n\t\tconst parent = this.parent;\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\t_position$3.setFromMatrixPosition( this.matrixWorld );\n\n\t\tif ( this.isCamera || this.isLight ) {\n\n\t\t\t_m1$1.lookAt( _position$3, _target, this.up );\n\n\t\t} else {\n\n\t\t\t_m1$1.lookAt( _target, _position$3, this.up );\n\n\t\t}\n\n\t\tthis.quaternion.setFromRotationMatrix( _m1$1 );\n\n\t\tif ( parent ) {\n\n\t\t\t_m1$1.extractRotation( parent.matrixWorld );\n\t\t\t_q1.setFromRotationMatrix( _m1$1 );\n\t\t\tthis.quaternion.premultiply( _q1.invert() );\n\n\t\t}\n\n\t}\n\n\tadd( object ) {\n\n\t\tif ( arguments.length > 1 ) {\n\n\t\t\tfor ( let i = 0; i < arguments.length; i ++ ) {\n\n\t\t\t\tthis.add( arguments[ i ] );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( object === this ) {\n\n\t\t\tconsole.error( 'THREE.Object3D.add: object can\\'t be added as a child of itself.', object );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( object && object.isObject3D ) {\n\n\t\t\tif ( object.parent !== null ) {\n\n\t\t\t\tobject.parent.remove( object );\n\n\t\t\t}\n\n\t\t\tobject.parent = this;\n\t\t\tthis.children.push( object );\n\n\t\t\tobject.dispatchEvent( _addedEvent );\n\n\t\t} else {\n\n\t\t\tconsole.error( 'THREE.Object3D.add: object not an instance of THREE.Object3D.', object );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremove( object ) {\n\n\t\tif ( arguments.length > 1 ) {\n\n\t\t\tfor ( let i = 0; i < arguments.length; i ++ ) {\n\n\t\t\t\tthis.remove( arguments[ i ] );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst index = this.children.indexOf( object );\n\n\t\tif ( index !== - 1 ) {\n\n\t\t\tobject.parent = null;\n\t\t\tthis.children.splice( index, 1 );\n\n\t\t\tobject.dispatchEvent( _removedEvent );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremoveFromParent() {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( parent !== null ) {\n\n\t\t\tparent.remove( this );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclear() {\n\n\t\treturn this.remove( ... this.children );\n\n\t}\n\n\tattach( object ) {\n\n\t\t// adds object as a child of this, while maintaining the object's world transform\n\n\t\t// Note: This method does not support scene graphs having non-uniformly-scaled nodes(s)\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\t_m1$1.copy( this.matrixWorld ).invert();\n\n\t\tif ( object.parent !== null ) {\n\n\t\t\tobject.parent.updateWorldMatrix( true, false );\n\n\t\t\t_m1$1.multiply( object.parent.matrixWorld );\n\n\t\t}\n\n\t\tobject.applyMatrix4( _m1$1 );\n\n\t\tthis.add( object );\n\n\t\tobject.updateWorldMatrix( false, true );\n\n\t\treturn this;\n\n\t}\n\n\tgetObjectById( id ) {\n\n\t\treturn this.getObjectByProperty( 'id', id );\n\n\t}\n\n\tgetObjectByName( name ) {\n\n\t\treturn this.getObjectByProperty( 'name', name );\n\n\t}\n\n\tgetObjectByProperty( name, value ) {\n\n\t\tif ( this[ name ] === value ) return this;\n\n\t\tfor ( let i = 0, l = this.children.length; i < l; i ++ ) {\n\n\t\t\tconst child = this.children[ i ];\n\t\t\tconst object = child.getObjectByProperty( name, value );\n\n\t\t\tif ( object !== undefined ) {\n\n\t\t\t\treturn object;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn undefined;\n\n\t}\n\n\tgetObjectsByProperty( name, value, result = [] ) {\n\n\t\tif ( this[ name ] === value ) result.push( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].getObjectsByProperty( name, value, result );\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\tgetWorldPosition( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn target.setFromMatrixPosition( this.matrixWorld );\n\n\t}\n\n\tgetWorldQuaternion( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tthis.matrixWorld.decompose( _position$3, target, _scale$2 );\n\n\t\treturn target;\n\n\t}\n\n\tgetWorldScale( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tthis.matrixWorld.decompose( _position$3, _quaternion$2, target );\n\n\t\treturn target;\n\n\t}\n\n\tgetWorldDirection( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tconst e = this.matrixWorld.elements;\n\n\t\treturn target.set( e[ 8 ], e[ 9 ], e[ 10 ] ).normalize();\n\n\t}\n\n\traycast( /* raycaster, intersects */ ) {}\n\n\ttraverse( callback ) {\n\n\t\tcallback( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].traverse( callback );\n\n\t\t}\n\n\t}\n\n\ttraverseVisible( callback ) {\n\n\t\tif ( this.visible === false ) return;\n\n\t\tcallback( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].traverseVisible( callback );\n\n\t\t}\n\n\t}\n\n\ttraverseAncestors( callback ) {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( parent !== null ) {\n\n\t\t\tcallback( parent );\n\n\t\t\tparent.traverseAncestors( callback );\n\n\t\t}\n\n\t}\n\n\tupdateMatrix() {\n\n\t\tthis.matrix.compose( this.position, this.quaternion, this.scale );\n\n\t\tthis.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tif ( this.matrixWorldNeedsUpdate || force ) {\n\n\t\t\tif ( this.parent === null ) {\n\n\t\t\t\tthis.matrixWorld.copy( this.matrix );\n\n\t\t\t} else {\n\n\t\t\t\tthis.matrixWorld.multiplyMatrices( this.parent.matrixWorld, this.matrix );\n\n\t\t\t}\n\n\t\t\tthis.matrixWorldNeedsUpdate = false;\n\n\t\t\tforce = true;\n\n\t\t}\n\n\t\t// update children\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tconst child = children[ i ];\n\n\t\t\tif ( child.matrixWorldAutoUpdate === true || force === true ) {\n\n\t\t\t\tchild.updateMatrixWorld( force );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateWorldMatrix( updateParents, updateChildren ) {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( updateParents === true && parent !== null && parent.matrixWorldAutoUpdate === true ) {\n\n\t\t\tparent.updateWorldMatrix( true, false );\n\n\t\t}\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tif ( this.parent === null ) {\n\n\t\t\tthis.matrixWorld.copy( this.matrix );\n\n\t\t} else {\n\n\t\t\tthis.matrixWorld.multiplyMatrices( this.parent.matrixWorld, this.matrix );\n\n\t\t}\n\n\t\t// update children\n\n\t\tif ( updateChildren === true ) {\n\n\t\t\tconst children = this.children;\n\n\t\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\t\tconst child = children[ i ];\n\n\t\t\t\tif ( child.matrixWorldAutoUpdate === true ) {\n\n\t\t\t\t\tchild.updateWorldMatrix( false, true );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\t// meta is a string when called from JSON.stringify\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tconst output = {};\n\n\t\t// meta is a hash used to collect geometries, materials.\n\t\t// not providing it implies that this is the root object\n\t\t// being serialized.\n\t\tif ( isRootObject ) {\n\n\t\t\t// initialize meta obj\n\t\t\tmeta = {\n\t\t\t\tgeometries: {},\n\t\t\t\tmaterials: {},\n\t\t\t\ttextures: {},\n\t\t\t\timages: {},\n\t\t\t\tshapes: {},\n\t\t\t\tskeletons: {},\n\t\t\t\tanimations: {},\n\t\t\t\tnodes: {}\n\t\t\t};\n\n\t\t\toutput.metadata = {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Object',\n\t\t\t\tgenerator: 'Object3D.toJSON'\n\t\t\t};\n\n\t\t}\n\n\t\t// standard Object3D serialization\n\n\t\tconst object = {};\n\n\t\tobject.uuid = this.uuid;\n\t\tobject.type = this.type;\n\n\t\tif ( this.name !== '' ) object.name = this.name;\n\t\tif ( this.castShadow === true ) object.castShadow = true;\n\t\tif ( this.receiveShadow === true ) object.receiveShadow = true;\n\t\tif ( this.visible === false ) object.visible = false;\n\t\tif ( this.frustumCulled === false ) object.frustumCulled = false;\n\t\tif ( this.renderOrder !== 0 ) object.renderOrder = this.renderOrder;\n\t\tif ( Object.keys( this.userData ).length > 0 ) object.userData = this.userData;\n\n\t\tobject.layers = this.layers.mask;\n\t\tobject.matrix = this.matrix.toArray();\n\t\tobject.up = this.up.toArray();\n\n\t\tif ( this.matrixAutoUpdate === false ) object.matrixAutoUpdate = false;\n\n\t\t// object specific properties\n\n\t\tif ( this.isInstancedMesh ) {\n\n\t\t\tobject.type = 'InstancedMesh';\n\t\t\tobject.count = this.count;\n\t\t\tobject.instanceMatrix = this.instanceMatrix.toJSON();\n\t\t\tif ( this.instanceColor !== null ) object.instanceColor = this.instanceColor.toJSON();\n\n\t\t}\n\n\t\tif ( this.isBatchedMesh ) {\n\n\t\t\tobject.type = 'BatchedMesh';\n\t\t\tobject.perObjectFrustumCulled = this.perObjectFrustumCulled;\n\t\t\tobject.sortObjects = this.sortObjects;\n\n\t\t\tobject.drawRanges = this._drawRanges;\n\t\t\tobject.reservedRanges = this._reservedRanges;\n\n\t\t\tobject.visibility = this._visibility;\n\t\t\tobject.active = this._active;\n\t\t\tobject.bounds = this._bounds.map( bound => ( {\n\t\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\t\tboxMin: bound.box.min.toArray(),\n\t\t\t\tboxMax: bound.box.max.toArray(),\n\n\t\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\t\tsphereRadius: bound.sphere.radius,\n\t\t\t\tsphereCenter: bound.sphere.center.toArray()\n\t\t\t} ) );\n\n\t\t\tobject.maxGeometryCount = this._maxGeometryCount;\n\t\t\tobject.maxVertexCount = this._maxVertexCount;\n\t\t\tobject.maxIndexCount = this._maxIndexCount;\n\n\t\t\tobject.geometryInitialized = this._geometryInitialized;\n\t\t\tobject.geometryCount = this._geometryCount;\n\n\t\t\tobject.matricesTexture = this._matricesTexture.toJSON( meta );\n\n\t\t\tif ( this.boundingSphere !== null ) {\n\n\t\t\t\tobject.boundingSphere = {\n\t\t\t\t\tcenter: object.boundingSphere.center.toArray(),\n\t\t\t\t\tradius: object.boundingSphere.radius\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t\tif ( this.boundingBox !== null ) {\n\n\t\t\t\tobject.boundingBox = {\n\t\t\t\t\tmin: object.boundingBox.min.toArray(),\n\t\t\t\t\tmax: object.boundingBox.max.toArray()\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tfunction serialize( library, element ) {\n\n\t\t\tif ( library[ element.uuid ] === undefined ) {\n\n\t\t\t\tlibrary[ element.uuid ] = element.toJSON( meta );\n\n\t\t\t}\n\n\t\t\treturn element.uuid;\n\n\t\t}\n\n\t\tif ( this.isScene ) {\n\n\t\t\tif ( this.background ) {\n\n\t\t\t\tif ( this.background.isColor ) {\n\n\t\t\t\t\tobject.background = this.background.toJSON();\n\n\t\t\t\t} else if ( this.background.isTexture ) {\n\n\t\t\t\t\tobject.background = this.background.toJSON( meta ).uuid;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( this.environment && this.environment.isTexture && this.environment.isRenderTargetTexture !== true ) {\n\n\t\t\t\tobject.environment = this.environment.toJSON( meta ).uuid;\n\n\t\t\t}\n\n\t\t} else if ( this.isMesh || this.isLine || this.isPoints ) {\n\n\t\t\tobject.geometry = serialize( meta.geometries, this.geometry );\n\n\t\t\tconst parameters = this.geometry.parameters;\n\n\t\t\tif ( parameters !== undefined && parameters.shapes !== undefined ) {\n\n\t\t\t\tconst shapes = parameters.shapes;\n\n\t\t\t\tif ( Array.isArray( shapes ) ) {\n\n\t\t\t\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\t\t\t\tconst shape = shapes[ i ];\n\n\t\t\t\t\t\tserialize( meta.shapes, shape );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tserialize( meta.shapes, shapes );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.isSkinnedMesh ) {\n\n\t\t\tobject.bindMode = this.bindMode;\n\t\t\tobject.bindMatrix = this.bindMatrix.toArray();\n\n\t\t\tif ( this.skeleton !== undefined ) {\n\n\t\t\t\tserialize( meta.skeletons, this.skeleton );\n\n\t\t\t\tobject.skeleton = this.skeleton.uuid;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.material !== undefined ) {\n\n\t\t\tif ( Array.isArray( this.material ) ) {\n\n\t\t\t\tconst uuids = [];\n\n\t\t\t\tfor ( let i = 0, l = this.material.length; i < l; i ++ ) {\n\n\t\t\t\t\tuuids.push( serialize( meta.materials, this.material[ i ] ) );\n\n\t\t\t\t}\n\n\t\t\t\tobject.material = uuids;\n\n\t\t\t} else {\n\n\t\t\t\tobject.material = serialize( meta.materials, this.material );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.children.length > 0 ) {\n\n\t\t\tobject.children = [];\n\n\t\t\tfor ( let i = 0; i < this.children.length; i ++ ) {\n\n\t\t\t\tobject.children.push( this.children[ i ].toJSON( meta ).object );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.animations.length > 0 ) {\n\n\t\t\tobject.animations = [];\n\n\t\t\tfor ( let i = 0; i < this.animations.length; i ++ ) {\n\n\t\t\t\tconst animation = this.animations[ i ];\n\n\t\t\t\tobject.animations.push( serialize( meta.animations, animation ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( isRootObject ) {\n\n\t\t\tconst geometries = extractFromCache( meta.geometries );\n\t\t\tconst materials = extractFromCache( meta.materials );\n\t\t\tconst textures = extractFromCache( meta.textures );\n\t\t\tconst images = extractFromCache( meta.images );\n\t\t\tconst shapes = extractFromCache( meta.shapes );\n\t\t\tconst skeletons = extractFromCache( meta.skeletons );\n\t\t\tconst animations = extractFromCache( meta.animations );\n\t\t\tconst nodes = extractFromCache( meta.nodes );\n\n\t\t\tif ( geometries.length > 0 ) output.geometries = geometries;\n\t\t\tif ( materials.length > 0 ) output.materials = materials;\n\t\t\tif ( textures.length > 0 ) output.textures = textures;\n\t\t\tif ( images.length > 0 ) output.images = images;\n\t\t\tif ( shapes.length > 0 ) output.shapes = shapes;\n\t\t\tif ( skeletons.length > 0 ) output.skeletons = skeletons;\n\t\t\tif ( animations.length > 0 ) output.animations = animations;\n\t\t\tif ( nodes.length > 0 ) output.nodes = nodes;\n\n\t\t}\n\n\t\toutput.object = object;\n\n\t\treturn output;\n\n\t\t// extract data from the cache hash\n\t\t// remove metadata on each item\n\t\t// and return as array\n\t\tfunction extractFromCache( cache ) {\n\n\t\t\tconst values = [];\n\t\t\tfor ( const key in cache ) {\n\n\t\t\t\tconst data = cache[ key ];\n\t\t\t\tdelete data.metadata;\n\t\t\t\tvalues.push( data );\n\n\t\t\t}\n\n\t\t\treturn values;\n\n\t\t}\n\n\t}\n\n\tclone( recursive ) {\n\n\t\treturn new this.constructor().copy( this, recursive );\n\n\t}\n\n\tcopy( source, recursive = true ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.up.copy( source.up );\n\n\t\tthis.position.copy( source.position );\n\t\tthis.rotation.order = source.rotation.order;\n\t\tthis.quaternion.copy( source.quaternion );\n\t\tthis.scale.copy( source.scale );\n\n\t\tthis.matrix.copy( source.matrix );\n\t\tthis.matrixWorld.copy( source.matrixWorld );\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\n\t\tthis.matrixWorldAutoUpdate = source.matrixWorldAutoUpdate;\n\t\tthis.matrixWorldNeedsUpdate = source.matrixWorldNeedsUpdate;\n\n\t\tthis.layers.mask = source.layers.mask;\n\t\tthis.visible = source.visible;\n\n\t\tthis.castShadow = source.castShadow;\n\t\tthis.receiveShadow = source.receiveShadow;\n\n\t\tthis.frustumCulled = source.frustumCulled;\n\t\tthis.renderOrder = source.renderOrder;\n\n\t\tthis.animations = source.animations.slice();\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\tif ( recursive === true ) {\n\n\t\t\tfor ( let i = 0; i < source.children.length; i ++ ) {\n\n\t\t\t\tconst child = source.children[ i ];\n\t\t\t\tthis.add( child.clone() );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nObject3D.DEFAULT_UP = /*@__PURE__*/ new Vector3( 0, 1, 0 );\nObject3D.DEFAULT_MATRIX_AUTO_UPDATE = true;\nObject3D.DEFAULT_MATRIX_WORLD_AUTO_UPDATE = true;\n\nconst _v0$1 = /*@__PURE__*/ new Vector3();\nconst _v1$3 = /*@__PURE__*/ new Vector3();\nconst _v2$2 = /*@__PURE__*/ new Vector3();\nconst _v3$1 = /*@__PURE__*/ new Vector3();\n\nconst _vab = /*@__PURE__*/ new Vector3();\nconst _vac = /*@__PURE__*/ new Vector3();\nconst _vbc = /*@__PURE__*/ new Vector3();\nconst _vap = /*@__PURE__*/ new Vector3();\nconst _vbp = /*@__PURE__*/ new Vector3();\nconst _vcp = /*@__PURE__*/ new Vector3();\n\nlet warnedGetUV = false;\n\nclass Triangle {\n\n\tconstructor( a = new Vector3(), b = new Vector3(), c = new Vector3() ) {\n\n\t\tthis.a = a;\n\t\tthis.b = b;\n\t\tthis.c = c;\n\n\t}\n\n\tstatic getNormal( a, b, c, target ) {\n\n\t\ttarget.subVectors( c, b );\n\t\t_v0$1.subVectors( a, b );\n\t\ttarget.cross( _v0$1 );\n\n\t\tconst targetLengthSq = target.lengthSq();\n\t\tif ( targetLengthSq > 0 ) {\n\n\t\t\treturn target.multiplyScalar( 1 / Math.sqrt( targetLengthSq ) );\n\n\t\t}\n\n\t\treturn target.set( 0, 0, 0 );\n\n\t}\n\n\t// static/instance method to calculate barycentric coordinates\n\t// based on: http://www.blackpawn.com/texts/pointinpoly/default.html\n\tstatic getBarycoord( point, a, b, c, target ) {\n\n\t\t_v0$1.subVectors( c, a );\n\t\t_v1$3.subVectors( b, a );\n\t\t_v2$2.subVectors( point, a );\n\n\t\tconst dot00 = _v0$1.dot( _v0$1 );\n\t\tconst dot01 = _v0$1.dot( _v1$3 );\n\t\tconst dot02 = _v0$1.dot( _v2$2 );\n\t\tconst dot11 = _v1$3.dot( _v1$3 );\n\t\tconst dot12 = _v1$3.dot( _v2$2 );\n\n\t\tconst denom = ( dot00 * dot11 - dot01 * dot01 );\n\n\t\t// collinear or singular triangle\n\t\tif ( denom === 0 ) {\n\n\t\t\ttarget.set( 0, 0, 0 );\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst invDenom = 1 / denom;\n\t\tconst u = ( dot11 * dot02 - dot01 * dot12 ) * invDenom;\n\t\tconst v = ( dot00 * dot12 - dot01 * dot02 ) * invDenom;\n\n\t\t// barycentric coordinates must always sum to 1\n\t\treturn target.set( 1 - u - v, v, u );\n\n\t}\n\n\tstatic containsPoint( point, a, b, c ) {\n\n\t\t// if the triangle is degenerate then we can't contain a point\n\t\tif ( this.getBarycoord( point, a, b, c, _v3$1 ) === null ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn ( _v3$1.x >= 0 ) && ( _v3$1.y >= 0 ) && ( ( _v3$1.x + _v3$1.y ) <= 1 );\n\n\t}\n\n\tstatic getUV( point, p1, p2, p3, uv1, uv2, uv3, target ) { // @deprecated, r151\n\n\t\tif ( warnedGetUV === false ) {\n\n\t\t\tconsole.warn( 'THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation().' );\n\n\t\t\twarnedGetUV = true;\n\n\t\t}\n\n\t\treturn this.getInterpolation( point, p1, p2, p3, uv1, uv2, uv3, target );\n\n\t}\n\n\tstatic getInterpolation( point, p1, p2, p3, v1, v2, v3, target ) {\n\n\t\tif ( this.getBarycoord( point, p1, p2, p3, _v3$1 ) === null ) {\n\n\t\t\ttarget.x = 0;\n\t\t\ttarget.y = 0;\n\t\t\tif ( 'z' in target ) target.z = 0;\n\t\t\tif ( 'w' in target ) target.w = 0;\n\t\t\treturn null;\n\n\t\t}\n\n\t\ttarget.setScalar( 0 );\n\t\ttarget.addScaledVector( v1, _v3$1.x );\n\t\ttarget.addScaledVector( v2, _v3$1.y );\n\t\ttarget.addScaledVector( v3, _v3$1.z );\n\n\t\treturn target;\n\n\t}\n\n\tstatic isFrontFacing( a, b, c, direction ) {\n\n\t\t_v0$1.subVectors( c, b );\n\t\t_v1$3.subVectors( a, b );\n\n\t\t// strictly front facing\n\t\treturn ( _v0$1.cross( _v1$3 ).dot( direction ) < 0 ) ? true : false;\n\n\t}\n\n\tset( a, b, c ) {\n\n\t\tthis.a.copy( a );\n\t\tthis.b.copy( b );\n\t\tthis.c.copy( c );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPointsAndIndices( points, i0, i1, i2 ) {\n\n\t\tthis.a.copy( points[ i0 ] );\n\t\tthis.b.copy( points[ i1 ] );\n\t\tthis.c.copy( points[ i2 ] );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromAttributeAndIndices( attribute, i0, i1, i2 ) {\n\n\t\tthis.a.fromBufferAttribute( attribute, i0 );\n\t\tthis.b.fromBufferAttribute( attribute, i1 );\n\t\tthis.c.fromBufferAttribute( attribute, i2 );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( triangle ) {\n\n\t\tthis.a.copy( triangle.a );\n\t\tthis.b.copy( triangle.b );\n\t\tthis.c.copy( triangle.c );\n\n\t\treturn this;\n\n\t}\n\n\tgetArea() {\n\n\t\t_v0$1.subVectors( this.c, this.b );\n\t\t_v1$3.subVectors( this.a, this.b );\n\n\t\treturn _v0$1.cross( _v1$3 ).length() * 0.5;\n\n\t}\n\n\tgetMidpoint( target ) {\n\n\t\treturn target.addVectors( this.a, this.b ).add( this.c ).multiplyScalar( 1 / 3 );\n\n\t}\n\n\tgetNormal( target ) {\n\n\t\treturn Triangle.getNormal( this.a, this.b, this.c, target );\n\n\t}\n\n\tgetPlane( target ) {\n\n\t\treturn target.setFromCoplanarPoints( this.a, this.b, this.c );\n\n\t}\n\n\tgetBarycoord( point, target ) {\n\n\t\treturn Triangle.getBarycoord( point, this.a, this.b, this.c, target );\n\n\t}\n\n\tgetUV( point, uv1, uv2, uv3, target ) { // @deprecated, r151\n\n\t\tif ( warnedGetUV === false ) {\n\n\t\t\tconsole.warn( 'THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation().' );\n\n\t\t\twarnedGetUV = true;\n\n\t\t}\n\n\t\treturn Triangle.getInterpolation( point, this.a, this.b, this.c, uv1, uv2, uv3, target );\n\n\t}\n\n\tgetInterpolation( point, v1, v2, v3, target ) {\n\n\t\treturn Triangle.getInterpolation( point, this.a, this.b, this.c, v1, v2, v3, target );\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn Triangle.containsPoint( point, this.a, this.b, this.c );\n\n\t}\n\n\tisFrontFacing( direction ) {\n\n\t\treturn Triangle.isFrontFacing( this.a, this.b, this.c, direction );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsTriangle( this );\n\n\t}\n\n\tclosestPointToPoint( p, target ) {\n\n\t\tconst a = this.a, b = this.b, c = this.c;\n\t\tlet v, w;\n\n\t\t// algorithm thanks to Real-Time Collision Detection by Christer Ericson,\n\t\t// published by Morgan Kaufmann Publishers, (c) 2005 Elsevier Inc.,\n\t\t// under the accompanying license; see chapter 5.1.5 for detailed explanation.\n\t\t// basically, we're distinguishing which of the voronoi regions of the triangle\n\t\t// the point lies in with the minimum amount of redundant computation.\n\n\t\t_vab.subVectors( b, a );\n\t\t_vac.subVectors( c, a );\n\t\t_vap.subVectors( p, a );\n\t\tconst d1 = _vab.dot( _vap );\n\t\tconst d2 = _vac.dot( _vap );\n\t\tif ( d1 <= 0 && d2 <= 0 ) {\n\n\t\t\t// vertex region of A; barycentric coords (1, 0, 0)\n\t\t\treturn target.copy( a );\n\n\t\t}\n\n\t\t_vbp.subVectors( p, b );\n\t\tconst d3 = _vab.dot( _vbp );\n\t\tconst d4 = _vac.dot( _vbp );\n\t\tif ( d3 >= 0 && d4 <= d3 ) {\n\n\t\t\t// vertex region of B; barycentric coords (0, 1, 0)\n\t\t\treturn target.copy( b );\n\n\t\t}\n\n\t\tconst vc = d1 * d4 - d3 * d2;\n\t\tif ( vc <= 0 && d1 >= 0 && d3 <= 0 ) {\n\n\t\t\tv = d1 / ( d1 - d3 );\n\t\t\t// edge region of AB; barycentric coords (1-v, v, 0)\n\t\t\treturn target.copy( a ).addScaledVector( _vab, v );\n\n\t\t}\n\n\t\t_vcp.subVectors( p, c );\n\t\tconst d5 = _vab.dot( _vcp );\n\t\tconst d6 = _vac.dot( _vcp );\n\t\tif ( d6 >= 0 && d5 <= d6 ) {\n\n\t\t\t// vertex region of C; barycentric coords (0, 0, 1)\n\t\t\treturn target.copy( c );\n\n\t\t}\n\n\t\tconst vb = d5 * d2 - d1 * d6;\n\t\tif ( vb <= 0 && d2 >= 0 && d6 <= 0 ) {\n\n\t\t\tw = d2 / ( d2 - d6 );\n\t\t\t// edge region of AC; barycentric coords (1-w, 0, w)\n\t\t\treturn target.copy( a ).addScaledVector( _vac, w );\n\n\t\t}\n\n\t\tconst va = d3 * d6 - d5 * d4;\n\t\tif ( va <= 0 && ( d4 - d3 ) >= 0 && ( d5 - d6 ) >= 0 ) {\n\n\t\t\t_vbc.subVectors( c, b );\n\t\t\tw = ( d4 - d3 ) / ( ( d4 - d3 ) + ( d5 - d6 ) );\n\t\t\t// edge region of BC; barycentric coords (0, 1-w, w)\n\t\t\treturn target.copy( b ).addScaledVector( _vbc, w ); // edge region of BC\n\n\t\t}\n\n\t\t// face region\n\t\tconst denom = 1 / ( va + vb + vc );\n\t\t// u = va * denom\n\t\tv = vb * denom;\n\t\tw = vc * denom;\n\n\t\treturn target.copy( a ).addScaledVector( _vab, v ).addScaledVector( _vac, w );\n\n\t}\n\n\tequals( triangle ) {\n\n\t\treturn triangle.a.equals( this.a ) && triangle.b.equals( this.b ) && triangle.c.equals( this.c );\n\n\t}\n\n}\n\nconst _colorKeywords = { 'aliceblue': 0xF0F8FF, 'antiquewhite': 0xFAEBD7, 'aqua': 0x00FFFF, 'aquamarine': 0x7FFFD4, 'azure': 0xF0FFFF,\n\t'beige': 0xF5F5DC, 'bisque': 0xFFE4C4, 'black': 0x000000, 'blanchedalmond': 0xFFEBCD, 'blue': 0x0000FF, 'blueviolet': 0x8A2BE2,\n\t'brown': 0xA52A2A, 'burlywood': 0xDEB887, 'cadetblue': 0x5F9EA0, 'chartreuse': 0x7FFF00, 'chocolate': 0xD2691E, 'coral': 0xFF7F50,\n\t'cornflowerblue': 0x6495ED, 'cornsilk': 0xFFF8DC, 'crimson': 0xDC143C, 'cyan': 0x00FFFF, 'darkblue': 0x00008B, 'darkcyan': 0x008B8B,\n\t'darkgoldenrod': 0xB8860B, 'darkgray': 0xA9A9A9, 'darkgreen': 0x006400, 'darkgrey': 0xA9A9A9, 'darkkhaki': 0xBDB76B, 'darkmagenta': 0x8B008B,\n\t'darkolivegreen': 0x556B2F, 'darkorange': 0xFF8C00, 'darkorchid': 0x9932CC, 'darkred': 0x8B0000, 'darksalmon': 0xE9967A, 'darkseagreen': 0x8FBC8F,\n\t'darkslateblue': 0x483D8B, 'darkslategray': 0x2F4F4F, 'darkslategrey': 0x2F4F4F, 'darkturquoise': 0x00CED1, 'darkviolet': 0x9400D3,\n\t'deeppink': 0xFF1493, 'deepskyblue': 0x00BFFF, 'dimgray': 0x696969, 'dimgrey': 0x696969, 'dodgerblue': 0x1E90FF, 'firebrick': 0xB22222,\n\t'floralwhite': 0xFFFAF0, 'forestgreen': 0x228B22, 'fuchsia': 0xFF00FF, 'gainsboro': 0xDCDCDC, 'ghostwhite': 0xF8F8FF, 'gold': 0xFFD700,\n\t'goldenrod': 0xDAA520, 'gray': 0x808080, 'green': 0x008000, 'greenyellow': 0xADFF2F, 'grey': 0x808080, 'honeydew': 0xF0FFF0, 'hotpink': 0xFF69B4,\n\t'indianred': 0xCD5C5C, 'indigo': 0x4B0082, 'ivory': 0xFFFFF0, 'khaki': 0xF0E68C, 'lavender': 0xE6E6FA, 'lavenderblush': 0xFFF0F5, 'lawngreen': 0x7CFC00,\n\t'lemonchiffon': 0xFFFACD, 'lightblue': 0xADD8E6, 'lightcoral': 0xF08080, 'lightcyan': 0xE0FFFF, 'lightgoldenrodyellow': 0xFAFAD2, 'lightgray': 0xD3D3D3,\n\t'lightgreen': 0x90EE90, 'lightgrey': 0xD3D3D3, 'lightpink': 0xFFB6C1, 'lightsalmon': 0xFFA07A, 'lightseagreen': 0x20B2AA, 'lightskyblue': 0x87CEFA,\n\t'lightslategray': 0x778899, 'lightslategrey': 0x778899, 'lightsteelblue': 0xB0C4DE, 'lightyellow': 0xFFFFE0, 'lime': 0x00FF00, 'limegreen': 0x32CD32,\n\t'linen': 0xFAF0E6, 'magenta': 0xFF00FF, 'maroon': 0x800000, 'mediumaquamarine': 0x66CDAA, 'mediumblue': 0x0000CD, 'mediumorchid': 0xBA55D3,\n\t'mediumpurple': 0x9370DB, 'mediumseagreen': 0x3CB371, 'mediumslateblue': 0x7B68EE, 'mediumspringgreen': 0x00FA9A, 'mediumturquoise': 0x48D1CC,\n\t'mediumvioletred': 0xC71585, 'midnightblue': 0x191970, 'mintcream': 0xF5FFFA, 'mistyrose': 0xFFE4E1, 'moccasin': 0xFFE4B5, 'navajowhite': 0xFFDEAD,\n\t'navy': 0x000080, 'oldlace': 0xFDF5E6, 'olive': 0x808000, 'olivedrab': 0x6B8E23, 'orange': 0xFFA500, 'orangered': 0xFF4500, 'orchid': 0xDA70D6,\n\t'palegoldenrod': 0xEEE8AA, 'palegreen': 0x98FB98, 'paleturquoise': 0xAFEEEE, 'palevioletred': 0xDB7093, 'papayawhip': 0xFFEFD5, 'peachpuff': 0xFFDAB9,\n\t'peru': 0xCD853F, 'pink': 0xFFC0CB, 'plum': 0xDDA0DD, 'powderblue': 0xB0E0E6, 'purple': 0x800080, 'rebeccapurple': 0x663399, 'red': 0xFF0000, 'rosybrown': 0xBC8F8F,\n\t'royalblue': 0x4169E1, 'saddlebrown': 0x8B4513, 'salmon': 0xFA8072, 'sandybrown': 0xF4A460, 'seagreen': 0x2E8B57, 'seashell': 0xFFF5EE,\n\t'sienna': 0xA0522D, 'silver': 0xC0C0C0, 'skyblue': 0x87CEEB, 'slateblue': 0x6A5ACD, 'slategray': 0x708090, 'slategrey': 0x708090, 'snow': 0xFFFAFA,\n\t'springgreen': 0x00FF7F, 'steelblue': 0x4682B4, 'tan': 0xD2B48C, 'teal': 0x008080, 'thistle': 0xD8BFD8, 'tomato': 0xFF6347, 'turquoise': 0x40E0D0,\n\t'violet': 0xEE82EE, 'wheat': 0xF5DEB3, 'white': 0xFFFFFF, 'whitesmoke': 0xF5F5F5, 'yellow': 0xFFFF00, 'yellowgreen': 0x9ACD32 };\n\nconst _hslA = { h: 0, s: 0, l: 0 };\nconst _hslB = { h: 0, s: 0, l: 0 };\n\nfunction hue2rgb( p, q, t ) {\n\n\tif ( t < 0 ) t += 1;\n\tif ( t > 1 ) t -= 1;\n\tif ( t < 1 / 6 ) return p + ( q - p ) * 6 * t;\n\tif ( t < 1 / 2 ) return q;\n\tif ( t < 2 / 3 ) return p + ( q - p ) * 6 * ( 2 / 3 - t );\n\treturn p;\n\n}\n\nclass Color {\n\n\tconstructor( r, g, b ) {\n\n\t\tthis.isColor = true;\n\n\t\tthis.r = 1;\n\t\tthis.g = 1;\n\t\tthis.b = 1;\n\n\t\treturn this.set( r, g, b );\n\n\t}\n\n\tset( r, g, b ) {\n\n\t\tif ( g === undefined && b === undefined ) {\n\n\t\t\t// r is THREE.Color, hex or string\n\n\t\t\tconst value = r;\n\n\t\t\tif ( value && value.isColor ) {\n\n\t\t\t\tthis.copy( value );\n\n\t\t\t} else if ( typeof value === 'number' ) {\n\n\t\t\t\tthis.setHex( value );\n\n\t\t\t} else if ( typeof value === 'string' ) {\n\n\t\t\t\tthis.setStyle( value );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthis.setRGB( r, g, b );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.r = scalar;\n\t\tthis.g = scalar;\n\t\tthis.b = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetHex( hex, colorSpace = SRGBColorSpace ) {\n\n\t\thex = Math.floor( hex );\n\n\t\tthis.r = ( hex >> 16 & 255 ) / 255;\n\t\tthis.g = ( hex >> 8 & 255 ) / 255;\n\t\tthis.b = ( hex & 255 ) / 255;\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetRGB( r, g, b, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\tthis.r = r;\n\t\tthis.g = g;\n\t\tthis.b = b;\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetHSL( h, s, l, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\t// h,s,l ranges are in 0.0 - 1.0\n\t\th = euclideanModulo( h, 1 );\n\t\ts = clamp( s, 0, 1 );\n\t\tl = clamp( l, 0, 1 );\n\n\t\tif ( s === 0 ) {\n\n\t\t\tthis.r = this.g = this.b = l;\n\n\t\t} else {\n\n\t\t\tconst p = l <= 0.5 ? l * ( 1 + s ) : l + s - ( l * s );\n\t\t\tconst q = ( 2 * l ) - p;\n\n\t\t\tthis.r = hue2rgb( q, p, h + 1 / 3 );\n\t\t\tthis.g = hue2rgb( q, p, h );\n\t\t\tthis.b = hue2rgb( q, p, h - 1 / 3 );\n\n\t\t}\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetStyle( style, colorSpace = SRGBColorSpace ) {\n\n\t\tfunction handleAlpha( string ) {\n\n\t\t\tif ( string === undefined ) return;\n\n\t\t\tif ( parseFloat( string ) < 1 ) {\n\n\t\t\t\tconsole.warn( 'THREE.Color: Alpha component of ' + style + ' will be ignored.' );\n\n\t\t\t}\n\n\t\t}\n\n\n\t\tlet m;\n\n\t\tif ( m = /^(\\w+)\\(([^\\)]*)\\)/.exec( style ) ) {\n\n\t\t\t// rgb / hsl\n\n\t\t\tlet color;\n\t\t\tconst name = m[ 1 ];\n\t\t\tconst components = m[ 2 ];\n\n\t\t\tswitch ( name ) {\n\n\t\t\t\tcase 'rgb':\n\t\t\t\tcase 'rgba':\n\n\t\t\t\t\tif ( color = /^\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// rgb(255,0,0) rgba(255,0,0,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setRGB(\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 1 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 2 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 3 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( color = /^\\s*(\\d+)\\%\\s*,\\s*(\\d+)\\%\\s*,\\s*(\\d+)\\%\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// rgb(100%,0%,0%) rgba(100%,0%,0%,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setRGB(\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 1 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 2 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 3 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'hsl':\n\t\t\t\tcase 'hsla':\n\n\t\t\t\t\tif ( color = /^\\s*(\\d*\\.?\\d+)\\s*,\\s*(\\d*\\.?\\d+)\\%\\s*,\\s*(\\d*\\.?\\d+)\\%\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// hsl(120,50%,50%) hsla(120,50%,50%,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setHSL(\n\t\t\t\t\t\t\tparseFloat( color[ 1 ] ) / 360,\n\t\t\t\t\t\t\tparseFloat( color[ 2 ] ) / 100,\n\t\t\t\t\t\t\tparseFloat( color[ 3 ] ) / 100,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tconsole.warn( 'THREE.Color: Unknown color model ' + style );\n\n\t\t\t}\n\n\t\t} else if ( m = /^\\#([A-Fa-f\\d]+)$/.exec( style ) ) {\n\n\t\t\t// hex color\n\n\t\t\tconst hex = m[ 1 ];\n\t\t\tconst size = hex.length;\n\n\t\t\tif ( size === 3 ) {\n\n\t\t\t\t// #ff0\n\t\t\t\treturn this.setRGB(\n\t\t\t\t\tparseInt( hex.charAt( 0 ), 16 ) / 15,\n\t\t\t\t\tparseInt( hex.charAt( 1 ), 16 ) / 15,\n\t\t\t\t\tparseInt( hex.charAt( 2 ), 16 ) / 15,\n\t\t\t\t\tcolorSpace\n\t\t\t\t);\n\n\t\t\t} else if ( size === 6 ) {\n\n\t\t\t\t// #ff0000\n\t\t\t\treturn this.setHex( parseInt( hex, 16 ), colorSpace );\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'THREE.Color: Invalid hex color ' + style );\n\n\t\t\t}\n\n\t\t} else if ( style && style.length > 0 ) {\n\n\t\t\treturn this.setColorName( style, colorSpace );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetColorName( style, colorSpace = SRGBColorSpace ) {\n\n\t\t// color keywords\n\t\tconst hex = _colorKeywords[ style.toLowerCase() ];\n\n\t\tif ( hex !== undefined ) {\n\n\t\t\t// red\n\t\t\tthis.setHex( hex, colorSpace );\n\n\t\t} else {\n\n\t\t\t// unknown color\n\t\t\tconsole.warn( 'THREE.Color: Unknown color ' + style );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.r, this.g, this.b );\n\n\t}\n\n\tcopy( color ) {\n\n\t\tthis.r = color.r;\n\t\tthis.g = color.g;\n\t\tthis.b = color.b;\n\n\t\treturn this;\n\n\t}\n\n\tcopySRGBToLinear( color ) {\n\n\t\tthis.r = SRGBToLinear( color.r );\n\t\tthis.g = SRGBToLinear( color.g );\n\t\tthis.b = SRGBToLinear( color.b );\n\n\t\treturn this;\n\n\t}\n\n\tcopyLinearToSRGB( color ) {\n\n\t\tthis.r = LinearToSRGB( color.r );\n\t\tthis.g = LinearToSRGB( color.g );\n\t\tthis.b = LinearToSRGB( color.b );\n\n\t\treturn this;\n\n\t}\n\n\tconvertSRGBToLinear() {\n\n\t\tthis.copySRGBToLinear( this );\n\n\t\treturn this;\n\n\t}\n\n\tconvertLinearToSRGB() {\n\n\t\tthis.copyLinearToSRGB( this );\n\n\t\treturn this;\n\n\t}\n\n\tgetHex( colorSpace = SRGBColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\treturn Math.round( clamp( _color.r * 255, 0, 255 ) ) * 65536 + Math.round( clamp( _color.g * 255, 0, 255 ) ) * 256 + Math.round( clamp( _color.b * 255, 0, 255 ) );\n\n\t}\n\n\tgetHexString( colorSpace = SRGBColorSpace ) {\n\n\t\treturn ( '000000' + this.getHex( colorSpace ).toString( 16 ) ).slice( - 6 );\n\n\t}\n\n\tgetHSL( target, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\t// h,s,l ranges are in 0.0 - 1.0\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\tconst r = _color.r, g = _color.g, b = _color.b;\n\n\t\tconst max = Math.max( r, g, b );\n\t\tconst min = Math.min( r, g, b );\n\n\t\tlet hue, saturation;\n\t\tconst lightness = ( min + max ) / 2.0;\n\n\t\tif ( min === max ) {\n\n\t\t\thue = 0;\n\t\t\tsaturation = 0;\n\n\t\t} else {\n\n\t\t\tconst delta = max - min;\n\n\t\t\tsaturation = lightness <= 0.5 ? delta / ( max + min ) : delta / ( 2 - max - min );\n\n\t\t\tswitch ( max ) {\n\n\t\t\t\tcase r: hue = ( g - b ) / delta + ( g < b ? 6 : 0 ); break;\n\t\t\t\tcase g: hue = ( b - r ) / delta + 2; break;\n\t\t\t\tcase b: hue = ( r - g ) / delta + 4; break;\n\n\t\t\t}\n\n\t\t\thue /= 6;\n\n\t\t}\n\n\t\ttarget.h = hue;\n\t\ttarget.s = saturation;\n\t\ttarget.l = lightness;\n\n\t\treturn target;\n\n\t}\n\n\tgetRGB( target, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\ttarget.r = _color.r;\n\t\ttarget.g = _color.g;\n\t\ttarget.b = _color.b;\n\n\t\treturn target;\n\n\t}\n\n\tgetStyle( colorSpace = SRGBColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\tconst r = _color.r, g = _color.g, b = _color.b;\n\n\t\tif ( colorSpace !== SRGBColorSpace ) {\n\n\t\t\t// Requires CSS Color Module Level 4 (https://www.w3.org/TR/css-color-4/).\n\t\t\treturn `color(${ colorSpace } ${ r.toFixed( 3 ) } ${ g.toFixed( 3 ) } ${ b.toFixed( 3 ) })`;\n\n\t\t}\n\n\t\treturn `rgb(${ Math.round( r * 255 ) },${ Math.round( g * 255 ) },${ Math.round( b * 255 ) })`;\n\n\t}\n\n\toffsetHSL( h, s, l ) {\n\n\t\tthis.getHSL( _hslA );\n\n\t\treturn this.setHSL( _hslA.h + h, _hslA.s + s, _hslA.l + l );\n\n\t}\n\n\tadd( color ) {\n\n\t\tthis.r += color.r;\n\t\tthis.g += color.g;\n\t\tthis.b += color.b;\n\n\t\treturn this;\n\n\t}\n\n\taddColors( color1, color2 ) {\n\n\t\tthis.r = color1.r + color2.r;\n\t\tthis.g = color1.g + color2.g;\n\t\tthis.b = color1.b + color2.b;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.r += s;\n\t\tthis.g += s;\n\t\tthis.b += s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( color ) {\n\n\t\tthis.r = Math.max( 0, this.r - color.r );\n\t\tthis.g = Math.max( 0, this.g - color.g );\n\t\tthis.b = Math.max( 0, this.b - color.b );\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( color ) {\n\n\t\tthis.r *= color.r;\n\t\tthis.g *= color.g;\n\t\tthis.b *= color.b;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tthis.r *= s;\n\t\tthis.g *= s;\n\t\tthis.b *= s;\n\n\t\treturn this;\n\n\t}\n\n\tlerp( color, alpha ) {\n\n\t\tthis.r += ( color.r - this.r ) * alpha;\n\t\tthis.g += ( color.g - this.g ) * alpha;\n\t\tthis.b += ( color.b - this.b ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpColors( color1, color2, alpha ) {\n\n\t\tthis.r = color1.r + ( color2.r - color1.r ) * alpha;\n\t\tthis.g = color1.g + ( color2.g - color1.g ) * alpha;\n\t\tthis.b = color1.b + ( color2.b - color1.b ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpHSL( color, alpha ) {\n\n\t\tthis.getHSL( _hslA );\n\t\tcolor.getHSL( _hslB );\n\n\t\tconst h = lerp( _hslA.h, _hslB.h, alpha );\n\t\tconst s = lerp( _hslA.s, _hslB.s, alpha );\n\t\tconst l = lerp( _hslA.l, _hslB.l, alpha );\n\n\t\tthis.setHSL( h, s, l );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\tthis.r = v.x;\n\t\tthis.g = v.y;\n\t\tthis.b = v.z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst r = this.r, g = this.g, b = this.b;\n\t\tconst e = m.elements;\n\n\t\tthis.r = e[ 0 ] * r + e[ 3 ] * g + e[ 6 ] * b;\n\t\tthis.g = e[ 1 ] * r + e[ 4 ] * g + e[ 7 ] * b;\n\t\tthis.b = e[ 2 ] * r + e[ 5 ] * g + e[ 8 ] * b;\n\n\t\treturn this;\n\n\t}\n\n\tequals( c ) {\n\n\t\treturn ( c.r === this.r ) && ( c.g === this.g ) && ( c.b === this.b );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.r = array[ offset ];\n\t\tthis.g = array[ offset + 1 ];\n\t\tthis.b = array[ offset + 2 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.r;\n\t\tarray[ offset + 1 ] = this.g;\n\t\tarray[ offset + 2 ] = this.b;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.r = attribute.getX( index );\n\t\tthis.g = attribute.getY( index );\n\t\tthis.b = attribute.getZ( index );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.getHex();\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.r;\n\t\tyield this.g;\n\t\tyield this.b;\n\n\t}\n\n}\n\nconst _color = /*@__PURE__*/ new Color();\n\nColor.NAMES = _colorKeywords;\n\nlet _materialId = 0;\n\nclass Material extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isMaterial = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _materialId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'Material';\n\n\t\tthis.blending = NormalBlending;\n\t\tthis.side = FrontSide;\n\t\tthis.vertexColors = false;\n\n\t\tthis.opacity = 1;\n\t\tthis.transparent = false;\n\t\tthis.alphaHash = false;\n\n\t\tthis.blendSrc = SrcAlphaFactor;\n\t\tthis.blendDst = OneMinusSrcAlphaFactor;\n\t\tthis.blendEquation = AddEquation;\n\t\tthis.blendSrcAlpha = null;\n\t\tthis.blendDstAlpha = null;\n\t\tthis.blendEquationAlpha = null;\n\t\tthis.blendColor = new Color( 0, 0, 0 );\n\t\tthis.blendAlpha = 0;\n\n\t\tthis.depthFunc = LessEqualDepth;\n\t\tthis.depthTest = true;\n\t\tthis.depthWrite = true;\n\n\t\tthis.stencilWriteMask = 0xff;\n\t\tthis.stencilFunc = AlwaysStencilFunc;\n\t\tthis.stencilRef = 0;\n\t\tthis.stencilFuncMask = 0xff;\n\t\tthis.stencilFail = KeepStencilOp;\n\t\tthis.stencilZFail = KeepStencilOp;\n\t\tthis.stencilZPass = KeepStencilOp;\n\t\tthis.stencilWrite = false;\n\n\t\tthis.clippingPlanes = null;\n\t\tthis.clipIntersection = false;\n\t\tthis.clipShadows = false;\n\n\t\tthis.shadowSide = null;\n\n\t\tthis.colorWrite = true;\n\n\t\tthis.precision = null; // override the renderer's default precision for this material\n\n\t\tthis.polygonOffset = false;\n\t\tthis.polygonOffsetFactor = 0;\n\t\tthis.polygonOffsetUnits = 0;\n\n\t\tthis.dithering = false;\n\n\t\tthis.alphaToCoverage = false;\n\t\tthis.premultipliedAlpha = false;\n\t\tthis.forceSinglePass = false;\n\n\t\tthis.visible = true;\n\n\t\tthis.toneMapped = true;\n\n\t\tthis.userData = {};\n\n\t\tthis.version = 0;\n\n\t\tthis._alphaTest = 0;\n\n\t}\n\n\tget alphaTest() {\n\n\t\treturn this._alphaTest;\n\n\t}\n\n\tset alphaTest( value ) {\n\n\t\tif ( this._alphaTest > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._alphaTest = value;\n\n\t}\n\n\tonBuild( /* shaderobject, renderer */ ) {}\n\n\tonBeforeRender( /* renderer, scene, camera, geometry, object, group */ ) {}\n\n\tonBeforeCompile( /* shaderobject, renderer */ ) {}\n\n\tcustomProgramCacheKey() {\n\n\t\treturn this.onBeforeCompile.toString();\n\n\t}\n\n\tsetValues( values ) {\n\n\t\tif ( values === undefined ) return;\n\n\t\tfor ( const key in values ) {\n\n\t\t\tconst newValue = values[ key ];\n\n\t\t\tif ( newValue === undefined ) {\n\n\t\t\t\tconsole.warn( `THREE.Material: parameter '${ key }' has value of undefined.` );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tconst currentValue = this[ key ];\n\n\t\t\tif ( currentValue === undefined ) {\n\n\t\t\t\tconsole.warn( `THREE.Material: '${ key }' is not a property of THREE.${ this.type }.` );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( currentValue && currentValue.isColor ) {\n\n\t\t\t\tcurrentValue.set( newValue );\n\n\t\t\t} else if ( ( currentValue && currentValue.isVector3 ) && ( newValue && newValue.isVector3 ) ) {\n\n\t\t\t\tcurrentValue.copy( newValue );\n\n\t\t\t} else {\n\n\t\t\t\tthis[ key ] = newValue;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( isRootObject ) {\n\n\t\t\tmeta = {\n\t\t\t\ttextures: {},\n\t\t\t\timages: {}\n\t\t\t};\n\n\t\t}\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Material',\n\t\t\t\tgenerator: 'Material.toJSON'\n\t\t\t}\n\t\t};\n\n\t\t// standard Material serialization\n\t\tdata.uuid = this.uuid;\n\t\tdata.type = this.type;\n\n\t\tif ( this.name !== '' ) data.name = this.name;\n\n\t\tif ( this.color && this.color.isColor ) data.color = this.color.getHex();\n\n\t\tif ( this.roughness !== undefined ) data.roughness = this.roughness;\n\t\tif ( this.metalness !== undefined ) data.metalness = this.metalness;\n\n\t\tif ( this.sheen !== undefined ) data.sheen = this.sheen;\n\t\tif ( this.sheenColor && this.sheenColor.isColor ) data.sheenColor = this.sheenColor.getHex();\n\t\tif ( this.sheenRoughness !== undefined ) data.sheenRoughness = this.sheenRoughness;\n\t\tif ( this.emissive && this.emissive.isColor ) data.emissive = this.emissive.getHex();\n\t\tif ( this.emissiveIntensity && this.emissiveIntensity !== 1 ) data.emissiveIntensity = this.emissiveIntensity;\n\n\t\tif ( this.specular && this.specular.isColor ) data.specular = this.specular.getHex();\n\t\tif ( this.specularIntensity !== undefined ) data.specularIntensity = this.specularIntensity;\n\t\tif ( this.specularColor && this.specularColor.isColor ) data.specularColor = this.specularColor.getHex();\n\t\tif ( this.shininess !== undefined ) data.shininess = this.shininess;\n\t\tif ( this.clearcoat !== undefined ) data.clearcoat = this.clearcoat;\n\t\tif ( this.clearcoatRoughness !== undefined ) data.clearcoatRoughness = this.clearcoatRoughness;\n\n\t\tif ( this.clearcoatMap && this.clearcoatMap.isTexture ) {\n\n\t\t\tdata.clearcoatMap = this.clearcoatMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture ) {\n\n\t\t\tdata.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture ) {\n\n\t\t\tdata.clearcoatNormalMap = this.clearcoatNormalMap.toJSON( meta ).uuid;\n\t\t\tdata.clearcoatNormalScale = this.clearcoatNormalScale.toArray();\n\n\t\t}\n\n\t\tif ( this.iridescence !== undefined ) data.iridescence = this.iridescence;\n\t\tif ( this.iridescenceIOR !== undefined ) data.iridescenceIOR = this.iridescenceIOR;\n\t\tif ( this.iridescenceThicknessRange !== undefined ) data.iridescenceThicknessRange = this.iridescenceThicknessRange;\n\n\t\tif ( this.iridescenceMap && this.iridescenceMap.isTexture ) {\n\n\t\t\tdata.iridescenceMap = this.iridescenceMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.iridescenceThicknessMap && this.iridescenceThicknessMap.isTexture ) {\n\n\t\t\tdata.iridescenceThicknessMap = this.iridescenceThicknessMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.anisotropy !== undefined ) data.anisotropy = this.anisotropy;\n\t\tif ( this.anisotropyRotation !== undefined ) data.anisotropyRotation = this.anisotropyRotation;\n\n\t\tif ( this.anisotropyMap && this.anisotropyMap.isTexture ) {\n\n\t\t\tdata.anisotropyMap = this.anisotropyMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.map && this.map.isTexture ) data.map = this.map.toJSON( meta ).uuid;\n\t\tif ( this.matcap && this.matcap.isTexture ) data.matcap = this.matcap.toJSON( meta ).uuid;\n\t\tif ( this.alphaMap && this.alphaMap.isTexture ) data.alphaMap = this.alphaMap.toJSON( meta ).uuid;\n\n\t\tif ( this.lightMap && this.lightMap.isTexture ) {\n\n\t\t\tdata.lightMap = this.lightMap.toJSON( meta ).uuid;\n\t\t\tdata.lightMapIntensity = this.lightMapIntensity;\n\n\t\t}\n\n\t\tif ( this.aoMap && this.aoMap.isTexture ) {\n\n\t\t\tdata.aoMap = this.aoMap.toJSON( meta ).uuid;\n\t\t\tdata.aoMapIntensity = this.aoMapIntensity;\n\n\t\t}\n\n\t\tif ( this.bumpMap && this.bumpMap.isTexture ) {\n\n\t\t\tdata.bumpMap = this.bumpMap.toJSON( meta ).uuid;\n\t\t\tdata.bumpScale = this.bumpScale;\n\n\t\t}\n\n\t\tif ( this.normalMap && this.normalMap.isTexture ) {\n\n\t\t\tdata.normalMap = this.normalMap.toJSON( meta ).uuid;\n\t\t\tdata.normalMapType = this.normalMapType;\n\t\t\tdata.normalScale = this.normalScale.toArray();\n\n\t\t}\n\n\t\tif ( this.displacementMap && this.displacementMap.isTexture ) {\n\n\t\t\tdata.displacementMap = this.displacementMap.toJSON( meta ).uuid;\n\t\t\tdata.displacementScale = this.displacementScale;\n\t\t\tdata.displacementBias = this.displacementBias;\n\n\t\t}\n\n\t\tif ( this.roughnessMap && this.roughnessMap.isTexture ) data.roughnessMap = this.roughnessMap.toJSON( meta ).uuid;\n\t\tif ( this.metalnessMap && this.metalnessMap.isTexture ) data.metalnessMap = this.metalnessMap.toJSON( meta ).uuid;\n\n\t\tif ( this.emissiveMap && this.emissiveMap.isTexture ) data.emissiveMap = this.emissiveMap.toJSON( meta ).uuid;\n\t\tif ( this.specularMap && this.specularMap.isTexture ) data.specularMap = this.specularMap.toJSON( meta ).uuid;\n\t\tif ( this.specularIntensityMap && this.specularIntensityMap.isTexture ) data.specularIntensityMap = this.specularIntensityMap.toJSON( meta ).uuid;\n\t\tif ( this.specularColorMap && this.specularColorMap.isTexture ) data.specularColorMap = this.specularColorMap.toJSON( meta ).uuid;\n\n\t\tif ( this.envMap && this.envMap.isTexture ) {\n\n\t\t\tdata.envMap = this.envMap.toJSON( meta ).uuid;\n\n\t\t\tif ( this.combine !== undefined ) data.combine = this.combine;\n\n\t\t}\n\n\t\tif ( this.envMapIntensity !== undefined ) data.envMapIntensity = this.envMapIntensity;\n\t\tif ( this.reflectivity !== undefined ) data.reflectivity = this.reflectivity;\n\t\tif ( this.refractionRatio !== undefined ) data.refractionRatio = this.refractionRatio;\n\n\t\tif ( this.gradientMap && this.gradientMap.isTexture ) {\n\n\t\t\tdata.gradientMap = this.gradientMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.transmission !== undefined ) data.transmission = this.transmission;\n\t\tif ( this.transmissionMap && this.transmissionMap.isTexture ) data.transmissionMap = this.transmissionMap.toJSON( meta ).uuid;\n\t\tif ( this.thickness !== undefined ) data.thickness = this.thickness;\n\t\tif ( this.thicknessMap && this.thicknessMap.isTexture ) data.thicknessMap = this.thicknessMap.toJSON( meta ).uuid;\n\t\tif ( this.attenuationDistance !== undefined && this.attenuationDistance !== Infinity ) data.attenuationDistance = this.attenuationDistance;\n\t\tif ( this.attenuationColor !== undefined ) data.attenuationColor = this.attenuationColor.getHex();\n\n\t\tif ( this.size !== undefined ) data.size = this.size;\n\t\tif ( this.shadowSide !== null ) data.shadowSide = this.shadowSide;\n\t\tif ( this.sizeAttenuation !== undefined ) data.sizeAttenuation = this.sizeAttenuation;\n\n\t\tif ( this.blending !== NormalBlending ) data.blending = this.blending;\n\t\tif ( this.side !== FrontSide ) data.side = this.side;\n\t\tif ( this.vertexColors === true ) data.vertexColors = true;\n\n\t\tif ( this.opacity < 1 ) data.opacity = this.opacity;\n\t\tif ( this.transparent === true ) data.transparent = true;\n\n\t\tif ( this.blendSrc !== SrcAlphaFactor ) data.blendSrc = this.blendSrc;\n\t\tif ( this.blendDst !== OneMinusSrcAlphaFactor ) data.blendDst = this.blendDst;\n\t\tif ( this.blendEquation !== AddEquation ) data.blendEquation = this.blendEquation;\n\t\tif ( this.blendSrcAlpha !== null ) data.blendSrcAlpha = this.blendSrcAlpha;\n\t\tif ( this.blendDstAlpha !== null ) data.blendDstAlpha = this.blendDstAlpha;\n\t\tif ( this.blendEquationAlpha !== null ) data.blendEquationAlpha = this.blendEquationAlpha;\n\t\tif ( this.blendColor && this.blendColor.isColor ) data.blendColor = this.blendColor.getHex();\n\t\tif ( this.blendAlpha !== 0 ) data.blendAlpha = this.blendAlpha;\n\n\t\tif ( this.depthFunc !== LessEqualDepth ) data.depthFunc = this.depthFunc;\n\t\tif ( this.depthTest === false ) data.depthTest = this.depthTest;\n\t\tif ( this.depthWrite === false ) data.depthWrite = this.depthWrite;\n\t\tif ( this.colorWrite === false ) data.colorWrite = this.colorWrite;\n\n\t\tif ( this.stencilWriteMask !== 0xff ) data.stencilWriteMask = this.stencilWriteMask;\n\t\tif ( this.stencilFunc !== AlwaysStencilFunc ) data.stencilFunc = this.stencilFunc;\n\t\tif ( this.stencilRef !== 0 ) data.stencilRef = this.stencilRef;\n\t\tif ( this.stencilFuncMask !== 0xff ) data.stencilFuncMask = this.stencilFuncMask;\n\t\tif ( this.stencilFail !== KeepStencilOp ) data.stencilFail = this.stencilFail;\n\t\tif ( this.stencilZFail !== KeepStencilOp ) data.stencilZFail = this.stencilZFail;\n\t\tif ( this.stencilZPass !== KeepStencilOp ) data.stencilZPass = this.stencilZPass;\n\t\tif ( this.stencilWrite === true ) data.stencilWrite = this.stencilWrite;\n\n\t\t// rotation (SpriteMaterial)\n\t\tif ( this.rotation !== undefined && this.rotation !== 0 ) data.rotation = this.rotation;\n\n\t\tif ( this.polygonOffset === true ) data.polygonOffset = true;\n\t\tif ( this.polygonOffsetFactor !== 0 ) data.polygonOffsetFactor = this.polygonOffsetFactor;\n\t\tif ( this.polygonOffsetUnits !== 0 ) data.polygonOffsetUnits = this.polygonOffsetUnits;\n\n\t\tif ( this.linewidth !== undefined && this.linewidth !== 1 ) data.linewidth = this.linewidth;\n\t\tif ( this.dashSize !== undefined ) data.dashSize = this.dashSize;\n\t\tif ( this.gapSize !== undefined ) data.gapSize = this.gapSize;\n\t\tif ( this.scale !== undefined ) data.scale = this.scale;\n\n\t\tif ( this.dithering === true ) data.dithering = true;\n\n\t\tif ( this.alphaTest > 0 ) data.alphaTest = this.alphaTest;\n\t\tif ( this.alphaHash === true ) data.alphaHash = true;\n\t\tif ( this.alphaToCoverage === true ) data.alphaToCoverage = true;\n\t\tif ( this.premultipliedAlpha === true ) data.premultipliedAlpha = true;\n\t\tif ( this.forceSinglePass === true ) data.forceSinglePass = true;\n\n\t\tif ( this.wireframe === true ) data.wireframe = true;\n\t\tif ( this.wireframeLinewidth > 1 ) data.wireframeLinewidth = this.wireframeLinewidth;\n\t\tif ( this.wireframeLinecap !== 'round' ) data.wireframeLinecap = this.wireframeLinecap;\n\t\tif ( this.wireframeLinejoin !== 'round' ) data.wireframeLinejoin = this.wireframeLinejoin;\n\n\t\tif ( this.flatShading === true ) data.flatShading = true;\n\n\t\tif ( this.visible === false ) data.visible = false;\n\n\t\tif ( this.toneMapped === false ) data.toneMapped = false;\n\n\t\tif ( this.fog === false ) data.fog = false;\n\n\t\tif ( Object.keys( this.userData ).length > 0 ) data.userData = this.userData;\n\n\t\t// TODO: Copied from Object3D.toJSON\n\n\t\tfunction extractFromCache( cache ) {\n\n\t\t\tconst values = [];\n\n\t\t\tfor ( const key in cache ) {\n\n\t\t\t\tconst data = cache[ key ];\n\t\t\t\tdelete data.metadata;\n\t\t\t\tvalues.push( data );\n\n\t\t\t}\n\n\t\t\treturn values;\n\n\t\t}\n\n\t\tif ( isRootObject ) {\n\n\t\t\tconst textures = extractFromCache( meta.textures );\n\t\t\tconst images = extractFromCache( meta.images );\n\n\t\t\tif ( textures.length > 0 ) data.textures = textures;\n\t\t\tif ( images.length > 0 ) data.images = images;\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.blending = source.blending;\n\t\tthis.side = source.side;\n\t\tthis.vertexColors = source.vertexColors;\n\n\t\tthis.opacity = source.opacity;\n\t\tthis.transparent = source.transparent;\n\n\t\tthis.blendSrc = source.blendSrc;\n\t\tthis.blendDst = source.blendDst;\n\t\tthis.blendEquation = source.blendEquation;\n\t\tthis.blendSrcAlpha = source.blendSrcAlpha;\n\t\tthis.blendDstAlpha = source.blendDstAlpha;\n\t\tthis.blendEquationAlpha = source.blendEquationAlpha;\n\t\tthis.blendColor.copy( source.blendColor );\n\t\tthis.blendAlpha = source.blendAlpha;\n\n\t\tthis.depthFunc = source.depthFunc;\n\t\tthis.depthTest = source.depthTest;\n\t\tthis.depthWrite = source.depthWrite;\n\n\t\tthis.stencilWriteMask = source.stencilWriteMask;\n\t\tthis.stencilFunc = source.stencilFunc;\n\t\tthis.stencilRef = source.stencilRef;\n\t\tthis.stencilFuncMask = source.stencilFuncMask;\n\t\tthis.stencilFail = source.stencilFail;\n\t\tthis.stencilZFail = source.stencilZFail;\n\t\tthis.stencilZPass = source.stencilZPass;\n\t\tthis.stencilWrite = source.stencilWrite;\n\n\t\tconst srcPlanes = source.clippingPlanes;\n\t\tlet dstPlanes = null;\n\n\t\tif ( srcPlanes !== null ) {\n\n\t\t\tconst n = srcPlanes.length;\n\t\t\tdstPlanes = new Array( n );\n\n\t\t\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\t\t\tdstPlanes[ i ] = srcPlanes[ i ].clone();\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.clippingPlanes = dstPlanes;\n\t\tthis.clipIntersection = source.clipIntersection;\n\t\tthis.clipShadows = source.clipShadows;\n\n\t\tthis.shadowSide = source.shadowSide;\n\n\t\tthis.colorWrite = source.colorWrite;\n\n\t\tthis.precision = source.precision;\n\n\t\tthis.polygonOffset = source.polygonOffset;\n\t\tthis.polygonOffsetFactor = source.polygonOffsetFactor;\n\t\tthis.polygonOffsetUnits = source.polygonOffsetUnits;\n\n\t\tthis.dithering = source.dithering;\n\n\t\tthis.alphaTest = source.alphaTest;\n\t\tthis.alphaHash = source.alphaHash;\n\t\tthis.alphaToCoverage = source.alphaToCoverage;\n\t\tthis.premultipliedAlpha = source.premultipliedAlpha;\n\t\tthis.forceSinglePass = source.forceSinglePass;\n\n\t\tthis.visible = source.visible;\n\n\t\tthis.toneMapped = source.toneMapped;\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n}\n\nclass MeshBasicMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshBasicMaterial = true;\n\n\t\tthis.type = 'MeshBasicMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // emissive\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\n// Fast Half Float Conversions, http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n\nconst _tables = /*@__PURE__*/ _generateTables();\n\nfunction _generateTables() {\n\n\t// float32 to float16 helpers\n\n\tconst buffer = new ArrayBuffer( 4 );\n\tconst floatView = new Float32Array( buffer );\n\tconst uint32View = new Uint32Array( buffer );\n\n\tconst baseTable = new Uint32Array( 512 );\n\tconst shiftTable = new Uint32Array( 512 );\n\n\tfor ( let i = 0; i < 256; ++ i ) {\n\n\t\tconst e = i - 127;\n\n\t\t// very small number (0, -0)\n\n\t\tif ( e < - 27 ) {\n\n\t\t\tbaseTable[ i ] = 0x0000;\n\t\t\tbaseTable[ i | 0x100 ] = 0x8000;\n\t\t\tshiftTable[ i ] = 24;\n\t\t\tshiftTable[ i | 0x100 ] = 24;\n\n\t\t\t// small number (denorm)\n\n\t\t} else if ( e < - 14 ) {\n\n\t\t\tbaseTable[ i ] = 0x0400 >> ( - e - 14 );\n\t\t\tbaseTable[ i | 0x100 ] = ( 0x0400 >> ( - e - 14 ) ) | 0x8000;\n\t\t\tshiftTable[ i ] = - e - 1;\n\t\t\tshiftTable[ i | 0x100 ] = - e - 1;\n\n\t\t\t// normal number\n\n\t\t} else if ( e <= 15 ) {\n\n\t\t\tbaseTable[ i ] = ( e + 15 ) << 10;\n\t\t\tbaseTable[ i | 0x100 ] = ( ( e + 15 ) << 10 ) | 0x8000;\n\t\t\tshiftTable[ i ] = 13;\n\t\t\tshiftTable[ i | 0x100 ] = 13;\n\n\t\t\t// large number (Infinity, -Infinity)\n\n\t\t} else if ( e < 128 ) {\n\n\t\t\tbaseTable[ i ] = 0x7c00;\n\t\t\tbaseTable[ i | 0x100 ] = 0xfc00;\n\t\t\tshiftTable[ i ] = 24;\n\t\t\tshiftTable[ i | 0x100 ] = 24;\n\n\t\t\t// stay (NaN, Infinity, -Infinity)\n\n\t\t} else {\n\n\t\t\tbaseTable[ i ] = 0x7c00;\n\t\t\tbaseTable[ i | 0x100 ] = 0xfc00;\n\t\t\tshiftTable[ i ] = 13;\n\t\t\tshiftTable[ i | 0x100 ] = 13;\n\n\t\t}\n\n\t}\n\n\t// float16 to float32 helpers\n\n\tconst mantissaTable = new Uint32Array( 2048 );\n\tconst exponentTable = new Uint32Array( 64 );\n\tconst offsetTable = new Uint32Array( 64 );\n\n\tfor ( let i = 1; i < 1024; ++ i ) {\n\n\t\tlet m = i << 13; // zero pad mantissa bits\n\t\tlet e = 0; // zero exponent\n\n\t\t// normalized\n\t\twhile ( ( m & 0x00800000 ) === 0 ) {\n\n\t\t\tm <<= 1;\n\t\t\te -= 0x00800000; // decrement exponent\n\n\t\t}\n\n\t\tm &= ~ 0x00800000; // clear leading 1 bit\n\t\te += 0x38800000; // adjust bias\n\n\t\tmantissaTable[ i ] = m | e;\n\n\t}\n\n\tfor ( let i = 1024; i < 2048; ++ i ) {\n\n\t\tmantissaTable[ i ] = 0x38000000 + ( ( i - 1024 ) << 13 );\n\n\t}\n\n\tfor ( let i = 1; i < 31; ++ i ) {\n\n\t\texponentTable[ i ] = i << 23;\n\n\t}\n\n\texponentTable[ 31 ] = 0x47800000;\n\texponentTable[ 32 ] = 0x80000000;\n\n\tfor ( let i = 33; i < 63; ++ i ) {\n\n\t\texponentTable[ i ] = 0x80000000 + ( ( i - 32 ) << 23 );\n\n\t}\n\n\texponentTable[ 63 ] = 0xc7800000;\n\n\tfor ( let i = 1; i < 64; ++ i ) {\n\n\t\tif ( i !== 32 ) {\n\n\t\t\toffsetTable[ i ] = 1024;\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tfloatView: floatView,\n\t\tuint32View: uint32View,\n\t\tbaseTable: baseTable,\n\t\tshiftTable: shiftTable,\n\t\tmantissaTable: mantissaTable,\n\t\texponentTable: exponentTable,\n\t\toffsetTable: offsetTable\n\t};\n\n}\n\n// float32 to float16\n\nfunction toHalfFloat( val ) {\n\n\tif ( Math.abs( val ) > 65504 ) console.warn( 'THREE.DataUtils.toHalfFloat(): Value out of range.' );\n\n\tval = clamp( val, - 65504, 65504 );\n\n\t_tables.floatView[ 0 ] = val;\n\tconst f = _tables.uint32View[ 0 ];\n\tconst e = ( f >> 23 ) & 0x1ff;\n\treturn _tables.baseTable[ e ] + ( ( f & 0x007fffff ) >> _tables.shiftTable[ e ] );\n\n}\n\n// float16 to float32\n\nfunction fromHalfFloat( val ) {\n\n\tconst m = val >> 10;\n\t_tables.uint32View[ 0 ] = _tables.mantissaTable[ _tables.offsetTable[ m ] + ( val & 0x3ff ) ] + _tables.exponentTable[ m ];\n\treturn _tables.floatView[ 0 ];\n\n}\n\nconst DataUtils = {\n\ttoHalfFloat: toHalfFloat,\n\tfromHalfFloat: fromHalfFloat,\n};\n\nconst _vector$9 = /*@__PURE__*/ new Vector3();\nconst _vector2$1 = /*@__PURE__*/ new Vector2();\n\nclass BufferAttribute {\n\n\tconstructor( array, itemSize, normalized = false ) {\n\n\t\tif ( Array.isArray( array ) ) {\n\n\t\t\tthrow new TypeError( 'THREE.BufferAttribute: array should be a Typed Array.' );\n\n\t\t}\n\n\t\tthis.isBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.array = array;\n\t\tthis.itemSize = itemSize;\n\t\tthis.count = array !== undefined ? array.length / itemSize : 0;\n\t\tthis.normalized = normalized;\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis._updateRange = { offset: 0, count: - 1 };\n\t\tthis.updateRanges = [];\n\t\tthis.gpuType = FloatType;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tonUploadCallback() {}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tget updateRange() {\n\n\t\tconsole.warn( 'THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead.' ); // @deprecated, r159\n\t\treturn this._updateRange;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\taddUpdateRange( start, count ) {\n\n\t\tthis.updateRanges.push( { start, count } );\n\n\t}\n\n\tclearUpdateRanges() {\n\n\t\tthis.updateRanges.length = 0;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\t\tthis.array = new source.array.constructor( source.array );\n\t\tthis.itemSize = source.itemSize;\n\t\tthis.count = source.count;\n\t\tthis.normalized = source.normalized;\n\n\t\tthis.usage = source.usage;\n\t\tthis.gpuType = source.gpuType;\n\n\t\treturn this;\n\n\t}\n\n\tcopyAt( index1, attribute, index2 ) {\n\n\t\tindex1 *= this.itemSize;\n\t\tindex2 *= attribute.itemSize;\n\n\t\tfor ( let i = 0, l = this.itemSize; i < l; i ++ ) {\n\n\t\t\tthis.array[ index1 + i ] = attribute.array[ index2 + i ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcopyArray( array ) {\n\n\t\tthis.array.set( array );\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tif ( this.itemSize === 2 ) {\n\n\t\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t\t_vector2$1.fromBufferAttribute( this, i );\n\t\t\t\t_vector2$1.applyMatrix3( m );\n\n\t\t\t\tthis.setXY( i, _vector2$1.x, _vector2$1.y );\n\n\t\t\t}\n\n\t\t} else if ( this.itemSize === 3 ) {\n\n\t\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t\t_vector$9.fromBufferAttribute( this, i );\n\t\t\t\t_vector$9.applyMatrix3( m );\n\n\t\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.applyMatrix4( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.applyNormalMatrix( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.transformDirection( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tset( value, offset = 0 ) {\n\n\t\t// Matching BufferAttribute constructor, do not normalize the array.\n\t\tthis.array.set( value, offset );\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index, component ) {\n\n\t\tlet value = this.array[ index * this.itemSize + component ];\n\n\t\tif ( this.normalized ) value = denormalize( value, this.array );\n\n\t\treturn value;\n\n\t}\n\n\tsetComponent( index, component, value ) {\n\n\t\tif ( this.normalized ) value = normalize( value, this.array );\n\n\t\tthis.array[ index * this.itemSize + component ] = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = this.array[ index * this.itemSize ];\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.array[ index * this.itemSize ] = x;\n\n\t\treturn this;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = this.array[ index * this.itemSize + 1 ];\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.array[ index * this.itemSize + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = this.array[ index * this.itemSize + 2 ];\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.array[ index * this.itemSize + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = this.array[ index * this.itemSize + 3 ];\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.array[ index * this.itemSize + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\t\tthis.array[ index + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\t\tthis.array[ index + 2 ] = z;\n\t\tthis.array[ index + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tonUpload( callback ) {\n\n\t\tthis.onUploadCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.array, this.itemSize ).copy( this );\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\titemSize: this.itemSize,\n\t\t\ttype: this.array.constructor.name,\n\t\t\tarray: Array.from( this.array ),\n\t\t\tnormalized: this.normalized\n\t\t};\n\n\t\tif ( this.name !== '' ) data.name = this.name;\n\t\tif ( this.usage !== StaticDrawUsage ) data.usage = this.usage;\n\n\t\treturn data;\n\n\t}\n\n}\n\n//\n\nclass Int8BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int8Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint8BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint8Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint8ClampedBufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint8ClampedArray( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Int16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int16Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint16Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Int32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Float16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint16Array( array ), itemSize, normalized );\n\n\t\tthis.isFloat16BufferAttribute = true;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = fromHalfFloat( this.array[ index * this.itemSize ] );\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.array[ index * this.itemSize ] = toHalfFloat( x );\n\n\t\treturn this;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = fromHalfFloat( this.array[ index * this.itemSize + 1 ] );\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.array[ index * this.itemSize + 1 ] = toHalfFloat( y );\n\n\t\treturn this;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = fromHalfFloat( this.array[ index * this.itemSize + 2 ] );\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.array[ index * this.itemSize + 2 ] = toHalfFloat( z );\n\n\t\treturn this;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = fromHalfFloat( this.array[ index * this.itemSize + 3 ] );\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.array[ index * this.itemSize + 3 ] = toHalfFloat( w );\n\n\t\treturn this;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\t\tthis.array[ index + 2 ] = toHalfFloat( z );\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\t\tthis.array[ index + 2 ] = toHalfFloat( z );\n\t\tthis.array[ index + 3 ] = toHalfFloat( w );\n\n\t\treturn this;\n\n\t}\n\n}\n\n\nclass Float32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Float32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Float64BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Float64Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nlet _id$2 = 0;\n\nconst _m1 = /*@__PURE__*/ new Matrix4();\nconst _obj = /*@__PURE__*/ new Object3D();\nconst _offset = /*@__PURE__*/ new Vector3();\nconst _box$2 = /*@__PURE__*/ new Box3();\nconst _boxMorphTargets = /*@__PURE__*/ new Box3();\nconst _vector$8 = /*@__PURE__*/ new Vector3();\n\nclass BufferGeometry extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isBufferGeometry = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _id$2 ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'BufferGeometry';\n\n\t\tthis.index = null;\n\t\tthis.attributes = {};\n\n\t\tthis.morphAttributes = {};\n\t\tthis.morphTargetsRelative = false;\n\n\t\tthis.groups = [];\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\tthis.drawRange = { start: 0, count: Infinity };\n\n\t\tthis.userData = {};\n\n\t}\n\n\tgetIndex() {\n\n\t\treturn this.index;\n\n\t}\n\n\tsetIndex( index ) {\n\n\t\tif ( Array.isArray( index ) ) {\n\n\t\t\tthis.index = new ( arrayNeedsUint32( index ) ? Uint32BufferAttribute : Uint16BufferAttribute )( index, 1 );\n\n\t\t} else {\n\n\t\t\tthis.index = index;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetAttribute( name ) {\n\n\t\treturn this.attributes[ name ];\n\n\t}\n\n\tsetAttribute( name, attribute ) {\n\n\t\tthis.attributes[ name ] = attribute;\n\n\t\treturn this;\n\n\t}\n\n\tdeleteAttribute( name ) {\n\n\t\tdelete this.attributes[ name ];\n\n\t\treturn this;\n\n\t}\n\n\thasAttribute( name ) {\n\n\t\treturn this.attributes[ name ] !== undefined;\n\n\t}\n\n\taddGroup( start, count, materialIndex = 0 ) {\n\n\t\tthis.groups.push( {\n\n\t\t\tstart: start,\n\t\t\tcount: count,\n\t\t\tmaterialIndex: materialIndex\n\n\t\t} );\n\n\t}\n\n\tclearGroups() {\n\n\t\tthis.groups = [];\n\n\t}\n\n\tsetDrawRange( start, count ) {\n\n\t\tthis.drawRange.start = start;\n\t\tthis.drawRange.count = count;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tconst position = this.attributes.position;\n\n\t\tif ( position !== undefined ) {\n\n\t\t\tposition.applyMatrix4( matrix );\n\n\t\t\tposition.needsUpdate = true;\n\n\t\t}\n\n\t\tconst normal = this.attributes.normal;\n\n\t\tif ( normal !== undefined ) {\n\n\t\t\tconst normalMatrix = new Matrix3().getNormalMatrix( matrix );\n\n\t\t\tnormal.applyNormalMatrix( normalMatrix );\n\n\t\t\tnormal.needsUpdate = true;\n\n\t\t}\n\n\t\tconst tangent = this.attributes.tangent;\n\n\t\tif ( tangent !== undefined ) {\n\n\t\t\ttangent.transformDirection( matrix );\n\n\t\t\ttangent.needsUpdate = true;\n\n\t\t}\n\n\t\tif ( this.boundingBox !== null ) {\n\n\t\t\tthis.computeBoundingBox();\n\n\t\t}\n\n\t\tif ( this.boundingSphere !== null ) {\n\n\t\t\tthis.computeBoundingSphere();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\t_m1.makeRotationFromQuaternion( q );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateX( angle ) {\n\n\t\t// rotate geometry around world x-axis\n\n\t\t_m1.makeRotationX( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateY( angle ) {\n\n\t\t// rotate geometry around world y-axis\n\n\t\t_m1.makeRotationY( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateZ( angle ) {\n\n\t\t// rotate geometry around world z-axis\n\n\t\t_m1.makeRotationZ( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( x, y, z ) {\n\n\t\t// translate geometry\n\n\t\t_m1.makeTranslation( x, y, z );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\tscale( x, y, z ) {\n\n\t\t// scale geometry\n\n\t\t_m1.makeScale( x, y, z );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\tlookAt( vector ) {\n\n\t\t_obj.lookAt( vector );\n\n\t\t_obj.updateMatrix();\n\n\t\tthis.applyMatrix4( _obj.matrix );\n\n\t\treturn this;\n\n\t}\n\n\tcenter() {\n\n\t\tthis.computeBoundingBox();\n\n\t\tthis.boundingBox.getCenter( _offset ).negate();\n\n\t\tthis.translate( _offset.x, _offset.y, _offset.z );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tconst position = [];\n\n\t\tfor ( let i = 0, l = points.length; i < l; i ++ ) {\n\n\t\t\tconst point = points[ i ];\n\t\t\tposition.push( point.x, point.y, point.z || 0 );\n\n\t\t}\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( position, 3 ) );\n\n\t\treturn this;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tconst position = this.attributes.position;\n\t\tconst morphAttributesPosition = this.morphAttributes.position;\n\n\t\tif ( position && position.isGLBufferAttribute ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set \"mesh.frustumCulled\" to \"false\".', this );\n\n\t\t\tthis.boundingBox.set(\n\t\t\t\tnew Vector3( - Infinity, - Infinity, - Infinity ),\n\t\t\t\tnew Vector3( + Infinity, + Infinity, + Infinity )\n\t\t\t);\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( position !== undefined ) {\n\n\t\t\tthis.boundingBox.setFromBufferAttribute( position );\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\t_box$2.setFromBufferAttribute( morphAttribute );\n\n\t\t\t\t\tif ( this.morphTargetsRelative ) {\n\n\t\t\t\t\t\t_vector$8.addVectors( this.boundingBox.min, _box$2.min );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _vector$8 );\n\n\t\t\t\t\t\t_vector$8.addVectors( this.boundingBox.max, _box$2.max );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _vector$8 );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _box$2.min );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _box$2.max );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthis.boundingBox.makeEmpty();\n\n\t\t}\n\n\t\tif ( isNaN( this.boundingBox.min.x ) || isNaN( this.boundingBox.min.y ) || isNaN( this.boundingBox.min.z ) ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The \"position\" attribute is likely to have NaN values.', this );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tconst position = this.attributes.position;\n\t\tconst morphAttributesPosition = this.morphAttributes.position;\n\n\t\tif ( position && position.isGLBufferAttribute ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set \"mesh.frustumCulled\" to \"false\".', this );\n\n\t\t\tthis.boundingSphere.set( new Vector3(), Infinity );\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( position ) {\n\n\t\t\t// first, find the center of the bounding sphere\n\n\t\t\tconst center = this.boundingSphere.center;\n\n\t\t\t_box$2.setFromBufferAttribute( position );\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\t_boxMorphTargets.setFromBufferAttribute( morphAttribute );\n\n\t\t\t\t\tif ( this.morphTargetsRelative ) {\n\n\t\t\t\t\t\t_vector$8.addVectors( _box$2.min, _boxMorphTargets.min );\n\t\t\t\t\t\t_box$2.expandByPoint( _vector$8 );\n\n\t\t\t\t\t\t_vector$8.addVectors( _box$2.max, _boxMorphTargets.max );\n\t\t\t\t\t\t_box$2.expandByPoint( _vector$8 );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t_box$2.expandByPoint( _boxMorphTargets.min );\n\t\t\t\t\t\t_box$2.expandByPoint( _boxMorphTargets.max );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t_box$2.getCenter( center );\n\n\t\t\t// second, try to find a boundingSphere with a radius smaller than the\n\t\t\t// boundingSphere of the boundingBox: sqrt(3) smaller in the best case\n\n\t\t\tlet maxRadiusSq = 0;\n\n\t\t\tfor ( let i = 0, il = position.count; i < il; i ++ ) {\n\n\t\t\t\t_vector$8.fromBufferAttribute( position, i );\n\n\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( _vector$8 ) );\n\n\t\t\t}\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\tconst morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t\t\t\tfor ( let j = 0, jl = morphAttribute.count; j < jl; j ++ ) {\n\n\t\t\t\t\t\t_vector$8.fromBufferAttribute( morphAttribute, j );\n\n\t\t\t\t\t\tif ( morphTargetsRelative ) {\n\n\t\t\t\t\t\t\t_offset.fromBufferAttribute( position, j );\n\t\t\t\t\t\t\t_vector$8.add( _offset );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( _vector$8 ) );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.boundingSphere.radius = Math.sqrt( maxRadiusSq );\n\n\t\t\tif ( isNaN( this.boundingSphere.radius ) ) {\n\n\t\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The \"position\" attribute is likely to have NaN values.', this );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcomputeTangents() {\n\n\t\tconst index = this.index;\n\t\tconst attributes = this.attributes;\n\n\t\t// based on http://www.terathon.com/code/tangent.html\n\t\t// (per vertex tangents)\n\n\t\tif ( index === null ||\n\t\t\t attributes.position === undefined ||\n\t\t\t attributes.normal === undefined ||\n\t\t\t attributes.uv === undefined ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst indices = index.array;\n\t\tconst positions = attributes.position.array;\n\t\tconst normals = attributes.normal.array;\n\t\tconst uvs = attributes.uv.array;\n\n\t\tconst nVertices = positions.length / 3;\n\n\t\tif ( this.hasAttribute( 'tangent' ) === false ) {\n\n\t\t\tthis.setAttribute( 'tangent', new BufferAttribute( new Float32Array( 4 * nVertices ), 4 ) );\n\n\t\t}\n\n\t\tconst tangents = this.getAttribute( 'tangent' ).array;\n\n\t\tconst tan1 = [], tan2 = [];\n\n\t\tfor ( let i = 0; i < nVertices; i ++ ) {\n\n\t\t\ttan1[ i ] = new Vector3();\n\t\t\ttan2[ i ] = new Vector3();\n\n\t\t}\n\n\t\tconst vA = new Vector3(),\n\t\t\tvB = new Vector3(),\n\t\t\tvC = new Vector3(),\n\n\t\t\tuvA = new Vector2(),\n\t\t\tuvB = new Vector2(),\n\t\t\tuvC = new Vector2(),\n\n\t\t\tsdir = new Vector3(),\n\t\t\ttdir = new Vector3();\n\n\t\tfunction handleTriangle( a, b, c ) {\n\n\t\t\tvA.fromArray( positions, a * 3 );\n\t\t\tvB.fromArray( positions, b * 3 );\n\t\t\tvC.fromArray( positions, c * 3 );\n\n\t\t\tuvA.fromArray( uvs, a * 2 );\n\t\t\tuvB.fromArray( uvs, b * 2 );\n\t\t\tuvC.fromArray( uvs, c * 2 );\n\n\t\t\tvB.sub( vA );\n\t\t\tvC.sub( vA );\n\n\t\t\tuvB.sub( uvA );\n\t\t\tuvC.sub( uvA );\n\n\t\t\tconst r = 1.0 / ( uvB.x * uvC.y - uvC.x * uvB.y );\n\n\t\t\t// silently ignore degenerate uv triangles having coincident or colinear vertices\n\n\t\t\tif ( ! isFinite( r ) ) return;\n\n\t\t\tsdir.copy( vB ).multiplyScalar( uvC.y ).addScaledVector( vC, - uvB.y ).multiplyScalar( r );\n\t\t\ttdir.copy( vC ).multiplyScalar( uvB.x ).addScaledVector( vB, - uvC.x ).multiplyScalar( r );\n\n\t\t\ttan1[ a ].add( sdir );\n\t\t\ttan1[ b ].add( sdir );\n\t\t\ttan1[ c ].add( sdir );\n\n\t\t\ttan2[ a ].add( tdir );\n\t\t\ttan2[ b ].add( tdir );\n\t\t\ttan2[ c ].add( tdir );\n\n\t\t}\n\n\t\tlet groups = this.groups;\n\n\t\tif ( groups.length === 0 ) {\n\n\t\t\tgroups = [ {\n\t\t\t\tstart: 0,\n\t\t\t\tcount: indices.length\n\t\t\t} ];\n\n\t\t}\n\n\t\tfor ( let i = 0, il = groups.length; i < il; ++ i ) {\n\n\t\t\tconst group = groups[ i ];\n\n\t\t\tconst start = group.start;\n\t\t\tconst count = group.count;\n\n\t\t\tfor ( let j = start, jl = start + count; j < jl; j += 3 ) {\n\n\t\t\t\thandleTriangle(\n\t\t\t\t\tindices[ j + 0 ],\n\t\t\t\t\tindices[ j + 1 ],\n\t\t\t\t\tindices[ j + 2 ]\n\t\t\t\t);\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst tmp = new Vector3(), tmp2 = new Vector3();\n\t\tconst n = new Vector3(), n2 = new Vector3();\n\n\t\tfunction handleVertex( v ) {\n\n\t\t\tn.fromArray( normals, v * 3 );\n\t\t\tn2.copy( n );\n\n\t\t\tconst t = tan1[ v ];\n\n\t\t\t// Gram-Schmidt orthogonalize\n\n\t\t\ttmp.copy( t );\n\t\t\ttmp.sub( n.multiplyScalar( n.dot( t ) ) ).normalize();\n\n\t\t\t// Calculate handedness\n\n\t\t\ttmp2.crossVectors( n2, t );\n\t\t\tconst test = tmp2.dot( tan2[ v ] );\n\t\t\tconst w = ( test < 0.0 ) ? - 1.0 : 1.0;\n\n\t\t\ttangents[ v * 4 ] = tmp.x;\n\t\t\ttangents[ v * 4 + 1 ] = tmp.y;\n\t\t\ttangents[ v * 4 + 2 ] = tmp.z;\n\t\t\ttangents[ v * 4 + 3 ] = w;\n\n\t\t}\n\n\t\tfor ( let i = 0, il = groups.length; i < il; ++ i ) {\n\n\t\t\tconst group = groups[ i ];\n\n\t\t\tconst start = group.start;\n\t\t\tconst count = group.count;\n\n\t\t\tfor ( let j = start, jl = start + count; j < jl; j += 3 ) {\n\n\t\t\t\thandleVertex( indices[ j + 0 ] );\n\t\t\t\thandleVertex( indices[ j + 1 ] );\n\t\t\t\thandleVertex( indices[ j + 2 ] );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcomputeVertexNormals() {\n\n\t\tconst index = this.index;\n\t\tconst positionAttribute = this.getAttribute( 'position' );\n\n\t\tif ( positionAttribute !== undefined ) {\n\n\t\t\tlet normalAttribute = this.getAttribute( 'normal' );\n\n\t\t\tif ( normalAttribute === undefined ) {\n\n\t\t\t\tnormalAttribute = new BufferAttribute( new Float32Array( positionAttribute.count * 3 ), 3 );\n\t\t\t\tthis.setAttribute( 'normal', normalAttribute );\n\n\t\t\t} else {\n\n\t\t\t\t// reset existing normals to zero\n\n\t\t\t\tfor ( let i = 0, il = normalAttribute.count; i < il; i ++ ) {\n\n\t\t\t\t\tnormalAttribute.setXYZ( i, 0, 0, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst pA = new Vector3(), pB = new Vector3(), pC = new Vector3();\n\t\t\tconst nA = new Vector3(), nB = new Vector3(), nC = new Vector3();\n\t\t\tconst cb = new Vector3(), ab = new Vector3();\n\n\t\t\t// indexed elements\n\n\t\t\tif ( index ) {\n\n\t\t\t\tfor ( let i = 0, il = index.count; i < il; i += 3 ) {\n\n\t\t\t\t\tconst vA = index.getX( i + 0 );\n\t\t\t\t\tconst vB = index.getX( i + 1 );\n\t\t\t\t\tconst vC = index.getX( i + 2 );\n\n\t\t\t\t\tpA.fromBufferAttribute( positionAttribute, vA );\n\t\t\t\t\tpB.fromBufferAttribute( positionAttribute, vB );\n\t\t\t\t\tpC.fromBufferAttribute( positionAttribute, vC );\n\n\t\t\t\t\tcb.subVectors( pC, pB );\n\t\t\t\t\tab.subVectors( pA, pB );\n\t\t\t\t\tcb.cross( ab );\n\n\t\t\t\t\tnA.fromBufferAttribute( normalAttribute, vA );\n\t\t\t\t\tnB.fromBufferAttribute( normalAttribute, vB );\n\t\t\t\t\tnC.fromBufferAttribute( normalAttribute, vC );\n\n\t\t\t\t\tnA.add( cb );\n\t\t\t\t\tnB.add( cb );\n\t\t\t\t\tnC.add( cb );\n\n\t\t\t\t\tnormalAttribute.setXYZ( vA, nA.x, nA.y, nA.z );\n\t\t\t\t\tnormalAttribute.setXYZ( vB, nB.x, nB.y, nB.z );\n\t\t\t\t\tnormalAttribute.setXYZ( vC, nC.x, nC.y, nC.z );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// non-indexed elements (unconnected triangle soup)\n\n\t\t\t\tfor ( let i = 0, il = positionAttribute.count; i < il; i += 3 ) {\n\n\t\t\t\t\tpA.fromBufferAttribute( positionAttribute, i + 0 );\n\t\t\t\t\tpB.fromBufferAttribute( positionAttribute, i + 1 );\n\t\t\t\t\tpC.fromBufferAttribute( positionAttribute, i + 2 );\n\n\t\t\t\t\tcb.subVectors( pC, pB );\n\t\t\t\t\tab.subVectors( pA, pB );\n\t\t\t\t\tcb.cross( ab );\n\n\t\t\t\t\tnormalAttribute.setXYZ( i + 0, cb.x, cb.y, cb.z );\n\t\t\t\t\tnormalAttribute.setXYZ( i + 1, cb.x, cb.y, cb.z );\n\t\t\t\t\tnormalAttribute.setXYZ( i + 2, cb.x, cb.y, cb.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.normalizeNormals();\n\n\t\t\tnormalAttribute.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tnormalizeNormals() {\n\n\t\tconst normals = this.attributes.normal;\n\n\t\tfor ( let i = 0, il = normals.count; i < il; i ++ ) {\n\n\t\t\t_vector$8.fromBufferAttribute( normals, i );\n\n\t\t\t_vector$8.normalize();\n\n\t\t\tnormals.setXYZ( i, _vector$8.x, _vector$8.y, _vector$8.z );\n\n\t\t}\n\n\t}\n\n\ttoNonIndexed() {\n\n\t\tfunction convertBufferAttribute( attribute, indices ) {\n\n\t\t\tconst array = attribute.array;\n\t\t\tconst itemSize = attribute.itemSize;\n\t\t\tconst normalized = attribute.normalized;\n\n\t\t\tconst array2 = new array.constructor( indices.length * itemSize );\n\n\t\t\tlet index = 0, index2 = 0;\n\n\t\t\tfor ( let i = 0, l = indices.length; i < l; i ++ ) {\n\n\t\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\tindex = indices[ i ] * attribute.data.stride + attribute.offset;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tindex = indices[ i ] * itemSize;\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let j = 0; j < itemSize; j ++ ) {\n\n\t\t\t\t\tarray2[ index2 ++ ] = array[ index ++ ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn new BufferAttribute( array2, itemSize, normalized );\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.index === null ) {\n\n\t\t\tconsole.warn( 'THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed.' );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst geometry2 = new BufferGeometry();\n\n\t\tconst indices = this.index.array;\n\t\tconst attributes = this.attributes;\n\n\t\t// attributes\n\n\t\tfor ( const name in attributes ) {\n\n\t\t\tconst attribute = attributes[ name ];\n\n\t\t\tconst newAttribute = convertBufferAttribute( attribute, indices );\n\n\t\t\tgeometry2.setAttribute( name, newAttribute );\n\n\t\t}\n\n\t\t// morph attributes\n\n\t\tconst morphAttributes = this.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst morphArray = [];\n\t\t\tconst morphAttribute = morphAttributes[ name ]; // morphAttribute: array of Float32BufferAttributes\n\n\t\t\tfor ( let i = 0, il = morphAttribute.length; i < il; i ++ ) {\n\n\t\t\t\tconst attribute = morphAttribute[ i ];\n\n\t\t\t\tconst newAttribute = convertBufferAttribute( attribute, indices );\n\n\t\t\t\tmorphArray.push( newAttribute );\n\n\t\t\t}\n\n\t\t\tgeometry2.morphAttributes[ name ] = morphArray;\n\n\t\t}\n\n\t\tgeometry2.morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t// groups\n\n\t\tconst groups = this.groups;\n\n\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\tconst group = groups[ i ];\n\t\t\tgeometry2.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t}\n\n\t\treturn geometry2;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'BufferGeometry',\n\t\t\t\tgenerator: 'BufferGeometry.toJSON'\n\t\t\t}\n\t\t};\n\n\t\t// standard BufferGeometry serialization\n\n\t\tdata.uuid = this.uuid;\n\t\tdata.type = this.type;\n\t\tif ( this.name !== '' ) data.name = this.name;\n\t\tif ( Object.keys( this.userData ).length > 0 ) data.userData = this.userData;\n\n\t\tif ( this.parameters !== undefined ) {\n\n\t\t\tconst parameters = this.parameters;\n\n\t\t\tfor ( const key in parameters ) {\n\n\t\t\t\tif ( parameters[ key ] !== undefined ) data[ key ] = parameters[ key ];\n\n\t\t\t}\n\n\t\t\treturn data;\n\n\t\t}\n\n\t\t// for simplicity the code assumes attributes are not shared across geometries, see #15811\n\n\t\tdata.data = { attributes: {} };\n\n\t\tconst index = this.index;\n\n\t\tif ( index !== null ) {\n\n\t\t\tdata.data.index = {\n\t\t\t\ttype: index.array.constructor.name,\n\t\t\t\tarray: Array.prototype.slice.call( index.array )\n\t\t\t};\n\n\t\t}\n\n\t\tconst attributes = this.attributes;\n\n\t\tfor ( const key in attributes ) {\n\n\t\t\tconst attribute = attributes[ key ];\n\n\t\t\tdata.data.attributes[ key ] = attribute.toJSON( data.data );\n\n\t\t}\n\n\t\tconst morphAttributes = {};\n\t\tlet hasMorphAttributes = false;\n\n\t\tfor ( const key in this.morphAttributes ) {\n\n\t\t\tconst attributeArray = this.morphAttributes[ key ];\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0, il = attributeArray.length; i < il; i ++ ) {\n\n\t\t\t\tconst attribute = attributeArray[ i ];\n\n\t\t\t\tarray.push( attribute.toJSON( data.data ) );\n\n\t\t\t}\n\n\t\t\tif ( array.length > 0 ) {\n\n\t\t\t\tmorphAttributes[ key ] = array;\n\n\t\t\t\thasMorphAttributes = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( hasMorphAttributes ) {\n\n\t\t\tdata.data.morphAttributes = morphAttributes;\n\t\t\tdata.data.morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t}\n\n\t\tconst groups = this.groups;\n\n\t\tif ( groups.length > 0 ) {\n\n\t\t\tdata.data.groups = JSON.parse( JSON.stringify( groups ) );\n\n\t\t}\n\n\t\tconst boundingSphere = this.boundingSphere;\n\n\t\tif ( boundingSphere !== null ) {\n\n\t\t\tdata.data.boundingSphere = {\n\t\t\t\tcenter: boundingSphere.center.toArray(),\n\t\t\t\tradius: boundingSphere.radius\n\t\t\t};\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\t// reset\n\n\t\tthis.index = null;\n\t\tthis.attributes = {};\n\t\tthis.morphAttributes = {};\n\t\tthis.groups = [];\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\t// used for storing cloned, shared data\n\n\t\tconst data = {};\n\n\t\t// name\n\n\t\tthis.name = source.name;\n\n\t\t// index\n\n\t\tconst index = source.index;\n\n\t\tif ( index !== null ) {\n\n\t\t\tthis.setIndex( index.clone( data ) );\n\n\t\t}\n\n\t\t// attributes\n\n\t\tconst attributes = source.attributes;\n\n\t\tfor ( const name in attributes ) {\n\n\t\t\tconst attribute = attributes[ name ];\n\t\t\tthis.setAttribute( name, attribute.clone( data ) );\n\n\t\t}\n\n\t\t// morph attributes\n\n\t\tconst morphAttributes = source.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst array = [];\n\t\t\tconst morphAttribute = morphAttributes[ name ]; // morphAttribute: array of Float32BufferAttributes\n\n\t\t\tfor ( let i = 0, l = morphAttribute.length; i < l; i ++ ) {\n\n\t\t\t\tarray.push( morphAttribute[ i ].clone( data ) );\n\n\t\t\t}\n\n\t\t\tthis.morphAttributes[ name ] = array;\n\n\t\t}\n\n\t\tthis.morphTargetsRelative = source.morphTargetsRelative;\n\n\t\t// groups\n\n\t\tconst groups = source.groups;\n\n\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\tconst group = groups[ i ];\n\t\t\tthis.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t}\n\n\t\t// bounding box\n\n\t\tconst boundingBox = source.boundingBox;\n\n\t\tif ( boundingBox !== null ) {\n\n\t\t\tthis.boundingBox = boundingBox.clone();\n\n\t\t}\n\n\t\t// bounding sphere\n\n\t\tconst boundingSphere = source.boundingSphere;\n\n\t\tif ( boundingSphere !== null ) {\n\n\t\t\tthis.boundingSphere = boundingSphere.clone();\n\n\t\t}\n\n\t\t// draw range\n\n\t\tthis.drawRange.start = source.drawRange.start;\n\t\tthis.drawRange.count = source.drawRange.count;\n\n\t\t// user data\n\n\t\tthis.userData = source.userData;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nconst _inverseMatrix$3 = /*@__PURE__*/ new Matrix4();\nconst _ray$3 = /*@__PURE__*/ new Ray();\nconst _sphere$6 = /*@__PURE__*/ new Sphere();\nconst _sphereHitAt = /*@__PURE__*/ new Vector3();\n\nconst _vA$1 = /*@__PURE__*/ new Vector3();\nconst _vB$1 = /*@__PURE__*/ new Vector3();\nconst _vC$1 = /*@__PURE__*/ new Vector3();\n\nconst _tempA = /*@__PURE__*/ new Vector3();\nconst _morphA = /*@__PURE__*/ new Vector3();\n\nconst _uvA$1 = /*@__PURE__*/ new Vector2();\nconst _uvB$1 = /*@__PURE__*/ new Vector2();\nconst _uvC$1 = /*@__PURE__*/ new Vector2();\n\nconst _normalA = /*@__PURE__*/ new Vector3();\nconst _normalB = /*@__PURE__*/ new Vector3();\nconst _normalC = /*@__PURE__*/ new Vector3();\n\nconst _intersectionPoint = /*@__PURE__*/ new Vector3();\nconst _intersectionPointWorld = /*@__PURE__*/ new Vector3();\n\nclass Mesh extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new MeshBasicMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isMesh = true;\n\n\t\tthis.type = 'Mesh';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.morphTargetInfluences !== undefined ) {\n\n\t\t\tthis.morphTargetInfluences = source.morphTargetInfluences.slice();\n\n\t\t}\n\n\t\tif ( source.morphTargetDictionary !== undefined ) {\n\n\t\t\tthis.morphTargetDictionary = Object.assign( {}, source.morphTargetDictionary );\n\n\t\t}\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tgetVertexPosition( index, target ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst position = geometry.attributes.position;\n\t\tconst morphPosition = geometry.morphAttributes.position;\n\t\tconst morphTargetsRelative = geometry.morphTargetsRelative;\n\n\t\ttarget.fromBufferAttribute( position, index );\n\n\t\tconst morphInfluences = this.morphTargetInfluences;\n\n\t\tif ( morphPosition && morphInfluences ) {\n\n\t\t\t_morphA.set( 0, 0, 0 );\n\n\t\t\tfor ( let i = 0, il = morphPosition.length; i < il; i ++ ) {\n\n\t\t\t\tconst influence = morphInfluences[ i ];\n\t\t\t\tconst morphAttribute = morphPosition[ i ];\n\n\t\t\t\tif ( influence === 0 ) continue;\n\n\t\t\t\t_tempA.fromBufferAttribute( morphAttribute, index );\n\n\t\t\t\tif ( morphTargetsRelative ) {\n\n\t\t\t\t\t_morphA.addScaledVector( _tempA, influence );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_morphA.addScaledVector( _tempA.sub( target ), influence );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\ttarget.add( _morphA );\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst material = this.material;\n\t\tconst matrixWorld = this.matrixWorld;\n\n\t\tif ( material === undefined ) return;\n\n\t\t// test with bounding sphere in world space\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere$6.copy( geometry.boundingSphere );\n\t\t_sphere$6.applyMatrix4( matrixWorld );\n\n\t\t// check distance from ray origin to bounding sphere\n\n\t\t_ray$3.copy( raycaster.ray ).recast( raycaster.near );\n\n\t\tif ( _sphere$6.containsPoint( _ray$3.origin ) === false ) {\n\n\t\t\tif ( _ray$3.intersectSphere( _sphere$6, _sphereHitAt ) === null ) return;\n\n\t\t\tif ( _ray$3.origin.distanceToSquared( _sphereHitAt ) > ( raycaster.far - raycaster.near ) ** 2 ) return;\n\n\t\t}\n\n\t\t// convert ray to local space of mesh\n\n\t\t_inverseMatrix$3.copy( matrixWorld ).invert();\n\t\t_ray$3.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$3 );\n\n\t\t// test with bounding box in local space\n\n\t\tif ( geometry.boundingBox !== null ) {\n\n\t\t\tif ( _ray$3.intersectsBox( geometry.boundingBox ) === false ) return;\n\n\t\t}\n\n\t\t// test for intersections with geometry\n\n\t\tthis._computeIntersections( raycaster, intersects, _ray$3 );\n\n\t}\n\n\t_computeIntersections( raycaster, intersects, rayLocalSpace ) {\n\n\t\tlet intersection;\n\n\t\tconst geometry = this.geometry;\n\t\tconst material = this.material;\n\n\t\tconst index = geometry.index;\n\t\tconst position = geometry.attributes.position;\n\t\tconst uv = geometry.attributes.uv;\n\t\tconst uv1 = geometry.attributes.uv1;\n\t\tconst normal = geometry.attributes.normal;\n\t\tconst groups = geometry.groups;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\tif ( index !== null ) {\n\n\t\t\t// indexed buffer geometry\n\n\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\tfor ( let i = 0, il = groups.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\tconst start = Math.max( group.start, drawRange.start );\n\t\t\t\t\tconst end = Math.min( index.count, Math.min( ( group.start + group.count ), ( drawRange.start + drawRange.count ) ) );\n\n\t\t\t\t\tfor ( let j = start, jl = end; j < jl; j += 3 ) {\n\n\t\t\t\t\t\tconst a = index.getX( j );\n\t\t\t\t\t\tconst b = index.getX( j + 1 );\n\t\t\t\t\t\tconst c = index.getX( j + 2 );\n\n\t\t\t\t\t\tintersection = checkGeometryIntersection( this, groupMaterial, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\t\tintersection.faceIndex = Math.floor( j / 3 ); // triangle number in indexed buffer semantics\n\t\t\t\t\t\t\tintersection.face.materialIndex = group.materialIndex;\n\t\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\t\tfor ( let i = start, il = end; i < il; i += 3 ) {\n\n\t\t\t\t\tconst a = index.getX( i );\n\t\t\t\t\tconst b = index.getX( i + 1 );\n\t\t\t\t\tconst c = index.getX( i + 2 );\n\n\t\t\t\t\tintersection = checkGeometryIntersection( this, material, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\tintersection.faceIndex = Math.floor( i / 3 ); // triangle number in indexed buffer semantics\n\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else if ( position !== undefined ) {\n\n\t\t\t// non-indexed buffer geometry\n\n\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\tfor ( let i = 0, il = groups.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\tconst start = Math.max( group.start, drawRange.start );\n\t\t\t\t\tconst end = Math.min( position.count, Math.min( ( group.start + group.count ), ( drawRange.start + drawRange.count ) ) );\n\n\t\t\t\t\tfor ( let j = start, jl = end; j < jl; j += 3 ) {\n\n\t\t\t\t\t\tconst a = j;\n\t\t\t\t\t\tconst b = j + 1;\n\t\t\t\t\t\tconst c = j + 2;\n\n\t\t\t\t\t\tintersection = checkGeometryIntersection( this, groupMaterial, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\t\tintersection.faceIndex = Math.floor( j / 3 ); // triangle number in non-indexed buffer semantics\n\t\t\t\t\t\t\tintersection.face.materialIndex = group.materialIndex;\n\t\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\t\tconst end = Math.min( position.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\t\tfor ( let i = start, il = end; i < il; i += 3 ) {\n\n\t\t\t\t\tconst a = i;\n\t\t\t\t\tconst b = i + 1;\n\t\t\t\t\tconst c = i + 2;\n\n\t\t\t\t\tintersection = checkGeometryIntersection( this, material, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\tintersection.faceIndex = Math.floor( i / 3 ); // triangle number in non-indexed buffer semantics\n\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction checkIntersection( object, material, raycaster, ray, pA, pB, pC, point ) {\n\n\tlet intersect;\n\n\tif ( material.side === BackSide ) {\n\n\t\tintersect = ray.intersectTriangle( pC, pB, pA, true, point );\n\n\t} else {\n\n\t\tintersect = ray.intersectTriangle( pA, pB, pC, ( material.side === FrontSide ), point );\n\n\t}\n\n\tif ( intersect === null ) return null;\n\n\t_intersectionPointWorld.copy( point );\n\t_intersectionPointWorld.applyMatrix4( object.matrixWorld );\n\n\tconst distance = raycaster.ray.origin.distanceTo( _intersectionPointWorld );\n\n\tif ( distance < raycaster.near || distance > raycaster.far ) return null;\n\n\treturn {\n\t\tdistance: distance,\n\t\tpoint: _intersectionPointWorld.clone(),\n\t\tobject: object\n\t};\n\n}\n\nfunction checkGeometryIntersection( object, material, raycaster, ray, uv, uv1, normal, a, b, c ) {\n\n\tobject.getVertexPosition( a, _vA$1 );\n\tobject.getVertexPosition( b, _vB$1 );\n\tobject.getVertexPosition( c, _vC$1 );\n\n\tconst intersection = checkIntersection( object, material, raycaster, ray, _vA$1, _vB$1, _vC$1, _intersectionPoint );\n\n\tif ( intersection ) {\n\n\t\tif ( uv ) {\n\n\t\t\t_uvA$1.fromBufferAttribute( uv, a );\n\t\t\t_uvB$1.fromBufferAttribute( uv, b );\n\t\t\t_uvC$1.fromBufferAttribute( uv, c );\n\n\t\t\tintersection.uv = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _uvA$1, _uvB$1, _uvC$1, new Vector2() );\n\n\t\t}\n\n\t\tif ( uv1 ) {\n\n\t\t\t_uvA$1.fromBufferAttribute( uv1, a );\n\t\t\t_uvB$1.fromBufferAttribute( uv1, b );\n\t\t\t_uvC$1.fromBufferAttribute( uv1, c );\n\n\t\t\tintersection.uv1 = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _uvA$1, _uvB$1, _uvC$1, new Vector2() );\n\t\t\tintersection.uv2 = intersection.uv1; // @deprecated, r152\n\n\t\t}\n\n\t\tif ( normal ) {\n\n\t\t\t_normalA.fromBufferAttribute( normal, a );\n\t\t\t_normalB.fromBufferAttribute( normal, b );\n\t\t\t_normalC.fromBufferAttribute( normal, c );\n\n\t\t\tintersection.normal = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _normalA, _normalB, _normalC, new Vector3() );\n\n\t\t\tif ( intersection.normal.dot( ray.direction ) > 0 ) {\n\n\t\t\t\tintersection.normal.multiplyScalar( - 1 );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst face = {\n\t\t\ta: a,\n\t\t\tb: b,\n\t\t\tc: c,\n\t\t\tnormal: new Vector3(),\n\t\t\tmaterialIndex: 0\n\t\t};\n\n\t\tTriangle.getNormal( _vA$1, _vB$1, _vC$1, face.normal );\n\n\t\tintersection.face = face;\n\n\t}\n\n\treturn intersection;\n\n}\n\nclass BoxGeometry extends BufferGeometry {\n\n\tconstructor( width = 1, height = 1, depth = 1, widthSegments = 1, heightSegments = 1, depthSegments = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'BoxGeometry';\n\n\t\tthis.parameters = {\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t\tdepth: depth,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\tdepthSegments: depthSegments\n\t\t};\n\n\t\tconst scope = this;\n\n\t\t// segments\n\n\t\twidthSegments = Math.floor( widthSegments );\n\t\theightSegments = Math.floor( heightSegments );\n\t\tdepthSegments = Math.floor( depthSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet numberOfVertices = 0;\n\t\tlet groupStart = 0;\n\n\t\t// build each side of the box geometry\n\n\t\tbuildPlane( 'z', 'y', 'x', - 1, - 1, depth, height, width, depthSegments, heightSegments, 0 ); // px\n\t\tbuildPlane( 'z', 'y', 'x', 1, - 1, depth, height, - width, depthSegments, heightSegments, 1 ); // nx\n\t\tbuildPlane( 'x', 'z', 'y', 1, 1, width, depth, height, widthSegments, depthSegments, 2 ); // py\n\t\tbuildPlane( 'x', 'z', 'y', 1, - 1, width, depth, - height, widthSegments, depthSegments, 3 ); // ny\n\t\tbuildPlane( 'x', 'y', 'z', 1, - 1, width, height, depth, widthSegments, heightSegments, 4 ); // pz\n\t\tbuildPlane( 'x', 'y', 'z', - 1, - 1, width, height, - depth, widthSegments, heightSegments, 5 ); // nz\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\tfunction buildPlane( u, v, w, udir, vdir, width, height, depth, gridX, gridY, materialIndex ) {\n\n\t\t\tconst segmentWidth = width / gridX;\n\t\t\tconst segmentHeight = height / gridY;\n\n\t\t\tconst widthHalf = width / 2;\n\t\t\tconst heightHalf = height / 2;\n\t\t\tconst depthHalf = depth / 2;\n\n\t\t\tconst gridX1 = gridX + 1;\n\t\t\tconst gridY1 = gridY + 1;\n\n\t\t\tlet vertexCounter = 0;\n\t\t\tlet groupCount = 0;\n\n\t\t\tconst vector = new Vector3();\n\n\t\t\t// generate vertices, normals and uvs\n\n\t\t\tfor ( let iy = 0; iy < gridY1; iy ++ ) {\n\n\t\t\t\tconst y = iy * segmentHeight - heightHalf;\n\n\t\t\t\tfor ( let ix = 0; ix < gridX1; ix ++ ) {\n\n\t\t\t\t\tconst x = ix * segmentWidth - widthHalf;\n\n\t\t\t\t\t// set values to correct vector component\n\n\t\t\t\t\tvector[ u ] = x * udir;\n\t\t\t\t\tvector[ v ] = y * vdir;\n\t\t\t\t\tvector[ w ] = depthHalf;\n\n\t\t\t\t\t// now apply vector to vertex buffer\n\n\t\t\t\t\tvertices.push( vector.x, vector.y, vector.z );\n\n\t\t\t\t\t// set values to correct vector component\n\n\t\t\t\t\tvector[ u ] = 0;\n\t\t\t\t\tvector[ v ] = 0;\n\t\t\t\t\tvector[ w ] = depth > 0 ? 1 : - 1;\n\n\t\t\t\t\t// now apply vector to normal buffer\n\n\t\t\t\t\tnormals.push( vector.x, vector.y, vector.z );\n\n\t\t\t\t\t// uvs\n\n\t\t\t\t\tuvs.push( ix / gridX );\n\t\t\t\t\tuvs.push( 1 - ( iy / gridY ) );\n\n\t\t\t\t\t// counters\n\n\t\t\t\t\tvertexCounter += 1;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// indices\n\n\t\t\t// 1. you need three indices to draw a single face\n\t\t\t// 2. a single segment consists of two faces\n\t\t\t// 3. so we need to generate six (2*3) indices per segment\n\n\t\t\tfor ( let iy = 0; iy < gridY; iy ++ ) {\n\n\t\t\t\tfor ( let ix = 0; ix < gridX; ix ++ ) {\n\n\t\t\t\t\tconst a = numberOfVertices + ix + gridX1 * iy;\n\t\t\t\t\tconst b = numberOfVertices + ix + gridX1 * ( iy + 1 );\n\t\t\t\t\tconst c = numberOfVertices + ( ix + 1 ) + gridX1 * ( iy + 1 );\n\t\t\t\t\tconst d = numberOfVertices + ( ix + 1 ) + gridX1 * iy;\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t\t// increase counter\n\n\t\t\t\t\tgroupCount += 6;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, materialIndex );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t\t// update total number of vertices\n\n\t\t\tnumberOfVertices += vertexCounter;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new BoxGeometry( data.width, data.height, data.depth, data.widthSegments, data.heightSegments, data.depthSegments );\n\n\t}\n\n}\n\n/**\n * Uniform Utilities\n */\n\nfunction cloneUniforms( src ) {\n\n\tconst dst = {};\n\n\tfor ( const u in src ) {\n\n\t\tdst[ u ] = {};\n\n\t\tfor ( const p in src[ u ] ) {\n\n\t\t\tconst property = src[ u ][ p ];\n\n\t\t\tif ( property && ( property.isColor ||\n\t\t\t\tproperty.isMatrix3 || property.isMatrix4 ||\n\t\t\t\tproperty.isVector2 || property.isVector3 || property.isVector4 ||\n\t\t\t\tproperty.isTexture || property.isQuaternion ) ) {\n\n\t\t\t\tif ( property.isRenderTargetTexture ) {\n\n\t\t\t\t\tconsole.warn( 'UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms().' );\n\t\t\t\t\tdst[ u ][ p ] = null;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tdst[ u ][ p ] = property.clone();\n\n\t\t\t\t}\n\n\t\t\t} else if ( Array.isArray( property ) ) {\n\n\t\t\t\tdst[ u ][ p ] = property.slice();\n\n\t\t\t} else {\n\n\t\t\t\tdst[ u ][ p ] = property;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\treturn dst;\n\n}\n\nfunction mergeUniforms( uniforms ) {\n\n\tconst merged = {};\n\n\tfor ( let u = 0; u < uniforms.length; u ++ ) {\n\n\t\tconst tmp = cloneUniforms( uniforms[ u ] );\n\n\t\tfor ( const p in tmp ) {\n\n\t\t\tmerged[ p ] = tmp[ p ];\n\n\t\t}\n\n\t}\n\n\treturn merged;\n\n}\n\nfunction cloneUniformsGroups( src ) {\n\n\tconst dst = [];\n\n\tfor ( let u = 0; u < src.length; u ++ ) {\n\n\t\tdst.push( src[ u ].clone() );\n\n\t}\n\n\treturn dst;\n\n}\n\nfunction getUnlitUniformColorSpace( renderer ) {\n\n\tif ( renderer.getRenderTarget() === null ) {\n\n\t\t// https://github.com/mrdoob/three.js/pull/23937#issuecomment-1111067398\n\t\treturn renderer.outputColorSpace;\n\n\t}\n\n\treturn ColorManagement.workingColorSpace;\n\n}\n\n// Legacy\n\nconst UniformsUtils = { clone: cloneUniforms, merge: mergeUniforms };\n\nvar default_vertex = \"void main() {\\n\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\n}\";\n\nvar default_fragment = \"void main() {\\n\\tgl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );\\n}\";\n\nclass ShaderMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isShaderMaterial = true;\n\n\t\tthis.type = 'ShaderMaterial';\n\n\t\tthis.defines = {};\n\t\tthis.uniforms = {};\n\t\tthis.uniformsGroups = [];\n\n\t\tthis.vertexShader = default_vertex;\n\t\tthis.fragmentShader = default_fragment;\n\n\t\tthis.linewidth = 1;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.fog = false; // set to use scene fog\n\t\tthis.lights = false; // set to use scene lights\n\t\tthis.clipping = false; // set to use user-defined clipping planes\n\n\t\tthis.forceSinglePass = true;\n\n\t\tthis.extensions = {\n\t\t\tderivatives: false, // set to use derivatives\n\t\t\tfragDepth: false, // set to use fragment depth values\n\t\t\tdrawBuffers: false, // set to use draw buffers\n\t\t\tshaderTextureLOD: false, // set to use shader texture LOD\n\t\t\tclipCullDistance: false // set to use vertex shader clipping\n\t\t};\n\n\t\t// When rendered geometry doesn't include these attributes but the material does,\n\t\t// use these default values in WebGL. This avoids errors when buffer data is missing.\n\t\tthis.defaultAttributeValues = {\n\t\t\t'color': [ 1, 1, 1 ],\n\t\t\t'uv': [ 0, 0 ],\n\t\t\t'uv1': [ 0, 0 ]\n\t\t};\n\n\t\tthis.index0AttributeName = undefined;\n\t\tthis.uniformsNeedUpdate = false;\n\n\t\tthis.glslVersion = null;\n\n\t\tif ( parameters !== undefined ) {\n\n\t\t\tthis.setValues( parameters );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.fragmentShader = source.fragmentShader;\n\t\tthis.vertexShader = source.vertexShader;\n\n\t\tthis.uniforms = cloneUniforms( source.uniforms );\n\t\tthis.uniformsGroups = cloneUniformsGroups( source.uniformsGroups );\n\n\t\tthis.defines = Object.assign( {}, source.defines );\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\tthis.fog = source.fog;\n\t\tthis.lights = source.lights;\n\t\tthis.clipping = source.clipping;\n\n\t\tthis.extensions = Object.assign( {}, source.extensions );\n\n\t\tthis.glslVersion = source.glslVersion;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.glslVersion = this.glslVersion;\n\t\tdata.uniforms = {};\n\n\t\tfor ( const name in this.uniforms ) {\n\n\t\t\tconst uniform = this.uniforms[ name ];\n\t\t\tconst value = uniform.value;\n\n\t\t\tif ( value && value.isTexture ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 't',\n\t\t\t\t\tvalue: value.toJSON( meta ).uuid\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isColor ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'c',\n\t\t\t\t\tvalue: value.getHex()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector2 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v2',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector3 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v3',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector4 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v4',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isMatrix3 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'm3',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isMatrix4 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'm4',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\tvalue: value\n\t\t\t\t};\n\n\t\t\t\t// note: the array variants v2v, v3v, v4v, m4v and tv are not supported so far\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( Object.keys( this.defines ).length > 0 ) data.defines = this.defines;\n\n\t\tdata.vertexShader = this.vertexShader;\n\t\tdata.fragmentShader = this.fragmentShader;\n\n\t\tdata.lights = this.lights;\n\t\tdata.clipping = this.clipping;\n\n\t\tconst extensions = {};\n\n\t\tfor ( const key in this.extensions ) {\n\n\t\t\tif ( this.extensions[ key ] === true ) extensions[ key ] = true;\n\n\t\t}\n\n\t\tif ( Object.keys( extensions ).length > 0 ) data.extensions = extensions;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass Camera extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isCamera = true;\n\n\t\tthis.type = 'Camera';\n\n\t\tthis.matrixWorldInverse = new Matrix4();\n\n\t\tthis.projectionMatrix = new Matrix4();\n\t\tthis.projectionMatrixInverse = new Matrix4();\n\n\t\tthis.coordinateSystem = WebGLCoordinateSystem;\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.matrixWorldInverse.copy( source.matrixWorldInverse );\n\n\t\tthis.projectionMatrix.copy( source.projectionMatrix );\n\t\tthis.projectionMatrixInverse.copy( source.projectionMatrixInverse );\n\n\t\tthis.coordinateSystem = source.coordinateSystem;\n\n\t\treturn this;\n\n\t}\n\n\tgetWorldDirection( target ) {\n\n\t\treturn super.getWorldDirection( target ).negate();\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tthis.matrixWorldInverse.copy( this.matrixWorld ).invert();\n\n\t}\n\n\tupdateWorldMatrix( updateParents, updateChildren ) {\n\n\t\tsuper.updateWorldMatrix( updateParents, updateChildren );\n\n\t\tthis.matrixWorldInverse.copy( this.matrixWorld ).invert();\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass PerspectiveCamera extends Camera {\n\n\tconstructor( fov = 50, aspect = 1, near = 0.1, far = 2000 ) {\n\n\t\tsuper();\n\n\t\tthis.isPerspectiveCamera = true;\n\n\t\tthis.type = 'PerspectiveCamera';\n\n\t\tthis.fov = fov;\n\t\tthis.zoom = 1;\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\t\tthis.focus = 10;\n\n\t\tthis.aspect = aspect;\n\t\tthis.view = null;\n\n\t\tthis.filmGauge = 35;\t// width of the film (default in millimeters)\n\t\tthis.filmOffset = 0;\t// horizontal film offset (same unit as gauge)\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.fov = source.fov;\n\t\tthis.zoom = source.zoom;\n\n\t\tthis.near = source.near;\n\t\tthis.far = source.far;\n\t\tthis.focus = source.focus;\n\n\t\tthis.aspect = source.aspect;\n\t\tthis.view = source.view === null ? null : Object.assign( {}, source.view );\n\n\t\tthis.filmGauge = source.filmGauge;\n\t\tthis.filmOffset = source.filmOffset;\n\n\t\treturn this;\n\n\t}\n\n\t/**\n\t * Sets the FOV by focal length in respect to the current .filmGauge.\n\t *\n\t * The default film gauge is 35, so that the focal length can be specified for\n\t * a 35mm (full frame) camera.\n\t *\n\t * Values for focal length and film gauge must have the same unit.\n\t */\n\tsetFocalLength( focalLength ) {\n\n\t\t/** see {@link http://www.bobatkins.com/photography/technical/field_of_view.html} */\n\t\tconst vExtentSlope = 0.5 * this.getFilmHeight() / focalLength;\n\n\t\tthis.fov = RAD2DEG * 2 * Math.atan( vExtentSlope );\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\t/**\n\t * Calculates the focal length from the current .fov and .filmGauge.\n\t */\n\tgetFocalLength() {\n\n\t\tconst vExtentSlope = Math.tan( DEG2RAD * 0.5 * this.fov );\n\n\t\treturn 0.5 * this.getFilmHeight() / vExtentSlope;\n\n\t}\n\n\tgetEffectiveFOV() {\n\n\t\treturn RAD2DEG * 2 * Math.atan(\n\t\t\tMath.tan( DEG2RAD * 0.5 * this.fov ) / this.zoom );\n\n\t}\n\n\tgetFilmWidth() {\n\n\t\t// film not completely covered in portrait format (aspect < 1)\n\t\treturn this.filmGauge * Math.min( this.aspect, 1 );\n\n\t}\n\n\tgetFilmHeight() {\n\n\t\t// film not completely covered in landscape format (aspect > 1)\n\t\treturn this.filmGauge / Math.max( this.aspect, 1 );\n\n\t}\n\n\t/**\n\t * Sets an offset in a larger frustum. This is useful for multi-window or\n\t * multi-monitor/multi-machine setups.\n\t *\n\t * For example, if you have 3x2 monitors and each monitor is 1920x1080 and\n\t * the monitors are in grid like this\n\t *\n\t * +---+---+---+\n\t * | A | B | C |\n\t * +---+---+---+\n\t * | D | E | F |\n\t * +---+---+---+\n\t *\n\t * then for each monitor you would call it like this\n\t *\n\t * const w = 1920;\n\t * const h = 1080;\n\t * const fullWidth = w * 3;\n\t * const fullHeight = h * 2;\n\t *\n\t * --A--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h );\n\t * --B--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h );\n\t * --C--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h );\n\t * --D--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h );\n\t * --E--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h );\n\t * --F--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h );\n\t *\n\t * Note there is no reason monitors have to be the same size or in a grid.\n\t */\n\tsetViewOffset( fullWidth, fullHeight, x, y, width, height ) {\n\n\t\tthis.aspect = fullWidth / fullHeight;\n\n\t\tif ( this.view === null ) {\n\n\t\t\tthis.view = {\n\t\t\t\tenabled: true,\n\t\t\t\tfullWidth: 1,\n\t\t\t\tfullHeight: 1,\n\t\t\t\toffsetX: 0,\n\t\t\t\toffsetY: 0,\n\t\t\t\twidth: 1,\n\t\t\t\theight: 1\n\t\t\t};\n\n\t\t}\n\n\t\tthis.view.enabled = true;\n\t\tthis.view.fullWidth = fullWidth;\n\t\tthis.view.fullHeight = fullHeight;\n\t\tthis.view.offsetX = x;\n\t\tthis.view.offsetY = y;\n\t\tthis.view.width = width;\n\t\tthis.view.height = height;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tclearViewOffset() {\n\n\t\tif ( this.view !== null ) {\n\n\t\t\tthis.view.enabled = false;\n\n\t\t}\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tupdateProjectionMatrix() {\n\n\t\tconst near = this.near;\n\t\tlet top = near * Math.tan( DEG2RAD * 0.5 * this.fov ) / this.zoom;\n\t\tlet height = 2 * top;\n\t\tlet width = this.aspect * height;\n\t\tlet left = - 0.5 * width;\n\t\tconst view = this.view;\n\n\t\tif ( this.view !== null && this.view.enabled ) {\n\n\t\t\tconst fullWidth = view.fullWidth,\n\t\t\t\tfullHeight = view.fullHeight;\n\n\t\t\tleft += view.offsetX * width / fullWidth;\n\t\t\ttop -= view.offsetY * height / fullHeight;\n\t\t\twidth *= view.width / fullWidth;\n\t\t\theight *= view.height / fullHeight;\n\n\t\t}\n\n\t\tconst skew = this.filmOffset;\n\t\tif ( skew !== 0 ) left += near * skew / this.getFilmWidth();\n\n\t\tthis.projectionMatrix.makePerspective( left, left + width, top, top - height, near, this.far, this.coordinateSystem );\n\n\t\tthis.projectionMatrixInverse.copy( this.projectionMatrix ).invert();\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.fov = this.fov;\n\t\tdata.object.zoom = this.zoom;\n\n\t\tdata.object.near = this.near;\n\t\tdata.object.far = this.far;\n\t\tdata.object.focus = this.focus;\n\n\t\tdata.object.aspect = this.aspect;\n\n\t\tif ( this.view !== null ) data.object.view = Object.assign( {}, this.view );\n\n\t\tdata.object.filmGauge = this.filmGauge;\n\t\tdata.object.filmOffset = this.filmOffset;\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst fov = - 90; // negative fov is not an error\nconst aspect = 1;\n\nclass CubeCamera extends Object3D {\n\n\tconstructor( near, far, renderTarget ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CubeCamera';\n\n\t\tthis.renderTarget = renderTarget;\n\t\tthis.coordinateSystem = null;\n\t\tthis.activeMipmapLevel = 0;\n\n\t\tconst cameraPX = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPX.layers = this.layers;\n\t\tthis.add( cameraPX );\n\n\t\tconst cameraNX = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNX.layers = this.layers;\n\t\tthis.add( cameraNX );\n\n\t\tconst cameraPY = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPY.layers = this.layers;\n\t\tthis.add( cameraPY );\n\n\t\tconst cameraNY = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNY.layers = this.layers;\n\t\tthis.add( cameraNY );\n\n\t\tconst cameraPZ = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPZ.layers = this.layers;\n\t\tthis.add( cameraPZ );\n\n\t\tconst cameraNZ = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNZ.layers = this.layers;\n\t\tthis.add( cameraNZ );\n\n\t}\n\n\tupdateCoordinateSystem() {\n\n\t\tconst coordinateSystem = this.coordinateSystem;\n\n\t\tconst cameras = this.children.concat();\n\n\t\tconst [ cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ ] = cameras;\n\n\t\tfor ( const camera of cameras ) this.remove( camera );\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tcameraPX.up.set( 0, 1, 0 );\n\t\t\tcameraPX.lookAt( 1, 0, 0 );\n\n\t\t\tcameraNX.up.set( 0, 1, 0 );\n\t\t\tcameraNX.lookAt( - 1, 0, 0 );\n\n\t\t\tcameraPY.up.set( 0, 0, - 1 );\n\t\t\tcameraPY.lookAt( 0, 1, 0 );\n\n\t\t\tcameraNY.up.set( 0, 0, 1 );\n\t\t\tcameraNY.lookAt( 0, - 1, 0 );\n\n\t\t\tcameraPZ.up.set( 0, 1, 0 );\n\t\t\tcameraPZ.lookAt( 0, 0, 1 );\n\n\t\t\tcameraNZ.up.set( 0, 1, 0 );\n\t\t\tcameraNZ.lookAt( 0, 0, - 1 );\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tcameraPX.up.set( 0, - 1, 0 );\n\t\t\tcameraPX.lookAt( - 1, 0, 0 );\n\n\t\t\tcameraNX.up.set( 0, - 1, 0 );\n\t\t\tcameraNX.lookAt( 1, 0, 0 );\n\n\t\t\tcameraPY.up.set( 0, 0, 1 );\n\t\t\tcameraPY.lookAt( 0, 1, 0 );\n\n\t\t\tcameraNY.up.set( 0, 0, - 1 );\n\t\t\tcameraNY.lookAt( 0, - 1, 0 );\n\n\t\t\tcameraPZ.up.set( 0, - 1, 0 );\n\t\t\tcameraPZ.lookAt( 0, 0, 1 );\n\n\t\t\tcameraNZ.up.set( 0, - 1, 0 );\n\t\t\tcameraNZ.lookAt( 0, 0, - 1 );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tfor ( const camera of cameras ) {\n\n\t\t\tthis.add( camera );\n\n\t\t\tcamera.updateMatrixWorld();\n\n\t\t}\n\n\t}\n\n\tupdate( renderer, scene ) {\n\n\t\tif ( this.parent === null ) this.updateMatrixWorld();\n\n\t\tconst { renderTarget, activeMipmapLevel } = this;\n\n\t\tif ( this.coordinateSystem !== renderer.coordinateSystem ) {\n\n\t\t\tthis.coordinateSystem = renderer.coordinateSystem;\n\n\t\t\tthis.updateCoordinateSystem();\n\n\t\t}\n\n\t\tconst [ cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ ] = this.children;\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\t\tconst currentActiveCubeFace = renderer.getActiveCubeFace();\n\t\tconst currentActiveMipmapLevel = renderer.getActiveMipmapLevel();\n\n\t\tconst currentXrEnabled = renderer.xr.enabled;\n\n\t\trenderer.xr.enabled = false;\n\n\t\tconst generateMipmaps = renderTarget.texture.generateMipmaps;\n\n\t\trenderTarget.texture.generateMipmaps = false;\n\n\t\trenderer.setRenderTarget( renderTarget, 0, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPX );\n\n\t\trenderer.setRenderTarget( renderTarget, 1, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNX );\n\n\t\trenderer.setRenderTarget( renderTarget, 2, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPY );\n\n\t\trenderer.setRenderTarget( renderTarget, 3, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNY );\n\n\t\trenderer.setRenderTarget( renderTarget, 4, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPZ );\n\n\t\t// mipmaps are generated during the last call of render()\n\t\t// at this point, all sides of the cube render target are defined\n\n\t\trenderTarget.texture.generateMipmaps = generateMipmaps;\n\n\t\trenderer.setRenderTarget( renderTarget, 5, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNZ );\n\n\t\trenderer.setRenderTarget( currentRenderTarget, currentActiveCubeFace, currentActiveMipmapLevel );\n\n\t\trenderer.xr.enabled = currentXrEnabled;\n\n\t\trenderTarget.texture.needsPMREMUpdate = true;\n\n\t}\n\n}\n\nclass CubeTexture extends Texture {\n\n\tconstructor( images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace ) {\n\n\t\timages = images !== undefined ? images : [];\n\t\tmapping = mapping !== undefined ? mapping : CubeReflectionMapping;\n\n\t\tsuper( images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isCubeTexture = true;\n\n\t\tthis.flipY = false;\n\n\t}\n\n\tget images() {\n\n\t\treturn this.image;\n\n\t}\n\n\tset images( value ) {\n\n\t\tthis.image = value;\n\n\t}\n\n}\n\nclass WebGLCubeRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( size = 1, options = {} ) {\n\n\t\tsuper( size, size, options );\n\n\t\tthis.isWebGLCubeRenderTarget = true;\n\n\t\tconst image = { width: size, height: size, depth: 1 };\n\t\tconst images = [ image, image, image, image, image, image ];\n\n\t\tif ( options.encoding !== undefined ) {\n\n\t\t\t// @deprecated, r152\n\t\t\twarnOnce( 'THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace.' );\n\t\t\toptions.colorSpace = options.encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\t\tthis.texture = new CubeTexture( images, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.colorSpace );\n\n\t\t// By convention -- likely based on the RenderMan spec from the 1990's -- cube maps are specified by WebGL (and three.js)\n\t\t// in a coordinate system in which positive-x is to the right when looking up the positive-z axis -- in other words,\n\t\t// in a left-handed coordinate system. By continuing this convention, preexisting cube maps continued to render correctly.\n\n\t\t// three.js uses a right-handed coordinate system. So environment maps used in three.js appear to have px and nx swapped\n\t\t// and the flag isRenderTargetTexture controls this conversion. The flip is not required when using WebGLCubeRenderTarget.texture\n\t\t// as a cube texture (this is detected when isRenderTargetTexture is set to true for cube textures).\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\tthis.texture.generateMipmaps = options.generateMipmaps !== undefined ? options.generateMipmaps : false;\n\t\tthis.texture.minFilter = options.minFilter !== undefined ? options.minFilter : LinearFilter;\n\n\t}\n\n\tfromEquirectangularTexture( renderer, texture ) {\n\n\t\tthis.texture.type = texture.type;\n\t\tthis.texture.colorSpace = texture.colorSpace;\n\n\t\tthis.texture.generateMipmaps = texture.generateMipmaps;\n\t\tthis.texture.minFilter = texture.minFilter;\n\t\tthis.texture.magFilter = texture.magFilter;\n\n\t\tconst shader = {\n\n\t\t\tuniforms: {\n\t\t\t\ttEquirect: { value: null },\n\t\t\t},\n\n\t\t\tvertexShader: /* glsl */`\n\n\t\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t\tvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\n\t\t\t\t\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvWorldDirection = transformDirection( position, modelMatrix );\n\n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\n\t\t\t\t}\n\t\t\t`,\n\n\t\t\tfragmentShader: /* glsl */`\n\n\t\t\t\tuniform sampler2D tEquirect;\n\n\t\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t\t#include \n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvec3 direction = normalize( vWorldDirection );\n\n\t\t\t\t\tvec2 sampleUV = equirectUv( direction );\n\n\t\t\t\t\tgl_FragColor = texture2D( tEquirect, sampleUV );\n\n\t\t\t\t}\n\t\t\t`\n\t\t};\n\n\t\tconst geometry = new BoxGeometry( 5, 5, 5 );\n\n\t\tconst material = new ShaderMaterial( {\n\n\t\t\tname: 'CubemapFromEquirect',\n\n\t\t\tuniforms: cloneUniforms( shader.uniforms ),\n\t\t\tvertexShader: shader.vertexShader,\n\t\t\tfragmentShader: shader.fragmentShader,\n\t\t\tside: BackSide,\n\t\t\tblending: NoBlending\n\n\t\t} );\n\n\t\tmaterial.uniforms.tEquirect.value = texture;\n\n\t\tconst mesh = new Mesh( geometry, material );\n\n\t\tconst currentMinFilter = texture.minFilter;\n\n\t\t// Avoid blurred poles\n\t\tif ( texture.minFilter === LinearMipmapLinearFilter ) texture.minFilter = LinearFilter;\n\n\t\tconst camera = new CubeCamera( 1, 10, this );\n\t\tcamera.update( renderer, mesh );\n\n\t\ttexture.minFilter = currentMinFilter;\n\n\t\tmesh.geometry.dispose();\n\t\tmesh.material.dispose();\n\n\t\treturn this;\n\n\t}\n\n\tclear( renderer, color, depth, stencil ) {\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\trenderer.setRenderTarget( this, i );\n\n\t\t\trenderer.clear( color, depth, stencil );\n\n\t\t}\n\n\t\trenderer.setRenderTarget( currentRenderTarget );\n\n\t}\n\n}\n\nconst _vector1 = /*@__PURE__*/ new Vector3();\nconst _vector2 = /*@__PURE__*/ new Vector3();\nconst _normalMatrix = /*@__PURE__*/ new Matrix3();\n\nclass Plane {\n\n\tconstructor( normal = new Vector3( 1, 0, 0 ), constant = 0 ) {\n\n\t\tthis.isPlane = true;\n\n\t\t// normal is assumed to be normalized\n\n\t\tthis.normal = normal;\n\t\tthis.constant = constant;\n\n\t}\n\n\tset( normal, constant ) {\n\n\t\tthis.normal.copy( normal );\n\t\tthis.constant = constant;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponents( x, y, z, w ) {\n\n\t\tthis.normal.set( x, y, z );\n\t\tthis.constant = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromNormalAndCoplanarPoint( normal, point ) {\n\n\t\tthis.normal.copy( normal );\n\t\tthis.constant = - point.dot( this.normal );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCoplanarPoints( a, b, c ) {\n\n\t\tconst normal = _vector1.subVectors( c, b ).cross( _vector2.subVectors( a, b ) ).normalize();\n\n\t\t// Q: should an error be thrown if normal is zero (e.g. degenerate plane)?\n\n\t\tthis.setFromNormalAndCoplanarPoint( normal, a );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( plane ) {\n\n\t\tthis.normal.copy( plane.normal );\n\t\tthis.constant = plane.constant;\n\n\t\treturn this;\n\n\t}\n\n\tnormalize() {\n\n\t\t// Note: will lead to a divide by zero if the plane is invalid.\n\n\t\tconst inverseNormalLength = 1.0 / this.normal.length();\n\t\tthis.normal.multiplyScalar( inverseNormalLength );\n\t\tthis.constant *= inverseNormalLength;\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.constant *= - 1;\n\t\tthis.normal.negate();\n\n\t\treturn this;\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.normal.dot( point ) + this.constant;\n\n\t}\n\n\tdistanceToSphere( sphere ) {\n\n\t\treturn this.distanceToPoint( sphere.center ) - sphere.radius;\n\n\t}\n\n\tprojectPoint( point, target ) {\n\n\t\treturn target.copy( point ).addScaledVector( this.normal, - this.distanceToPoint( point ) );\n\n\t}\n\n\tintersectLine( line, target ) {\n\n\t\tconst direction = line.delta( _vector1 );\n\n\t\tconst denominator = this.normal.dot( direction );\n\n\t\tif ( denominator === 0 ) {\n\n\t\t\t// line is coplanar, return origin\n\t\t\tif ( this.distanceToPoint( line.start ) === 0 ) {\n\n\t\t\t\treturn target.copy( line.start );\n\n\t\t\t}\n\n\t\t\t// Unsure if this is the correct method to handle this case.\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst t = - ( line.start.dot( this.normal ) + this.constant ) / denominator;\n\n\t\tif ( t < 0 || t > 1 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn target.copy( line.start ).addScaledVector( direction, t );\n\n\t}\n\n\tintersectsLine( line ) {\n\n\t\t// Note: this tests if a line intersects the plane, not whether it (or its end-points) are coplanar with it.\n\n\t\tconst startSign = this.distanceToPoint( line.start );\n\t\tconst endSign = this.distanceToPoint( line.end );\n\n\t\treturn ( startSign < 0 && endSign > 0 ) || ( endSign < 0 && startSign > 0 );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsPlane( this );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\treturn sphere.intersectsPlane( this );\n\n\t}\n\n\tcoplanarPoint( target ) {\n\n\t\treturn target.copy( this.normal ).multiplyScalar( - this.constant );\n\n\t}\n\n\tapplyMatrix4( matrix, optionalNormalMatrix ) {\n\n\t\tconst normalMatrix = optionalNormalMatrix || _normalMatrix.getNormalMatrix( matrix );\n\n\t\tconst referencePoint = this.coplanarPoint( _vector1 ).applyMatrix4( matrix );\n\n\t\tconst normal = this.normal.applyMatrix3( normalMatrix ).normalize();\n\n\t\tthis.constant = - referencePoint.dot( normal );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.constant -= offset.dot( this.normal );\n\n\t\treturn this;\n\n\t}\n\n\tequals( plane ) {\n\n\t\treturn plane.normal.equals( this.normal ) && ( plane.constant === this.constant );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _sphere$5 = /*@__PURE__*/ new Sphere();\nconst _vector$7 = /*@__PURE__*/ new Vector3();\n\nclass Frustum {\n\n\tconstructor( p0 = new Plane(), p1 = new Plane(), p2 = new Plane(), p3 = new Plane(), p4 = new Plane(), p5 = new Plane() ) {\n\n\t\tthis.planes = [ p0, p1, p2, p3, p4, p5 ];\n\n\t}\n\n\tset( p0, p1, p2, p3, p4, p5 ) {\n\n\t\tconst planes = this.planes;\n\n\t\tplanes[ 0 ].copy( p0 );\n\t\tplanes[ 1 ].copy( p1 );\n\t\tplanes[ 2 ].copy( p2 );\n\t\tplanes[ 3 ].copy( p3 );\n\t\tplanes[ 4 ].copy( p4 );\n\t\tplanes[ 5 ].copy( p5 );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( frustum ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tplanes[ i ].copy( frustum.planes[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromProjectionMatrix( m, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst planes = this.planes;\n\t\tconst me = m.elements;\n\t\tconst me0 = me[ 0 ], me1 = me[ 1 ], me2 = me[ 2 ], me3 = me[ 3 ];\n\t\tconst me4 = me[ 4 ], me5 = me[ 5 ], me6 = me[ 6 ], me7 = me[ 7 ];\n\t\tconst me8 = me[ 8 ], me9 = me[ 9 ], me10 = me[ 10 ], me11 = me[ 11 ];\n\t\tconst me12 = me[ 12 ], me13 = me[ 13 ], me14 = me[ 14 ], me15 = me[ 15 ];\n\n\t\tplanes[ 0 ].setComponents( me3 - me0, me7 - me4, me11 - me8, me15 - me12 ).normalize();\n\t\tplanes[ 1 ].setComponents( me3 + me0, me7 + me4, me11 + me8, me15 + me12 ).normalize();\n\t\tplanes[ 2 ].setComponents( me3 + me1, me7 + me5, me11 + me9, me15 + me13 ).normalize();\n\t\tplanes[ 3 ].setComponents( me3 - me1, me7 - me5, me11 - me9, me15 - me13 ).normalize();\n\t\tplanes[ 4 ].setComponents( me3 - me2, me7 - me6, me11 - me10, me15 - me14 ).normalize();\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tplanes[ 5 ].setComponents( me3 + me2, me7 + me6, me11 + me10, me15 + me14 ).normalize();\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tplanes[ 5 ].setComponents( me2, me6, me10, me14 ).normalize();\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tintersectsObject( object ) {\n\n\t\tif ( object.boundingSphere !== undefined ) {\n\n\t\t\tif ( object.boundingSphere === null ) object.computeBoundingSphere();\n\n\t\t\t_sphere$5.copy( object.boundingSphere ).applyMatrix4( object.matrixWorld );\n\n\t\t} else {\n\n\t\t\tconst geometry = object.geometry;\n\n\t\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t\t_sphere$5.copy( geometry.boundingSphere ).applyMatrix4( object.matrixWorld );\n\n\t\t}\n\n\t\treturn this.intersectsSphere( _sphere$5 );\n\n\t}\n\n\tintersectsSprite( sprite ) {\n\n\t\t_sphere$5.center.set( 0, 0, 0 );\n\t\t_sphere$5.radius = 0.7071067811865476;\n\t\t_sphere$5.applyMatrix4( sprite.matrixWorld );\n\n\t\treturn this.intersectsSphere( _sphere$5 );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\tconst planes = this.planes;\n\t\tconst center = sphere.center;\n\t\tconst negRadius = - sphere.radius;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst distance = planes[ i ].distanceToPoint( center );\n\n\t\t\tif ( distance < negRadius ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst plane = planes[ i ];\n\n\t\t\t// corner at max distance\n\n\t\t\t_vector$7.x = plane.normal.x > 0 ? box.max.x : box.min.x;\n\t\t\t_vector$7.y = plane.normal.y > 0 ? box.max.y : box.min.y;\n\t\t\t_vector$7.z = plane.normal.z > 0 ? box.max.z : box.min.z;\n\n\t\t\tif ( plane.distanceToPoint( _vector$7 ) < 0 ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tif ( planes[ i ].distanceToPoint( point ) < 0 ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nfunction WebGLAnimation() {\n\n\tlet context = null;\n\tlet isAnimating = false;\n\tlet animationLoop = null;\n\tlet requestId = null;\n\n\tfunction onAnimationFrame( time, frame ) {\n\n\t\tanimationLoop( time, frame );\n\n\t\trequestId = context.requestAnimationFrame( onAnimationFrame );\n\n\t}\n\n\treturn {\n\n\t\tstart: function () {\n\n\t\t\tif ( isAnimating === true ) return;\n\t\t\tif ( animationLoop === null ) return;\n\n\t\t\trequestId = context.requestAnimationFrame( onAnimationFrame );\n\n\t\t\tisAnimating = true;\n\n\t\t},\n\n\t\tstop: function () {\n\n\t\t\tcontext.cancelAnimationFrame( requestId );\n\n\t\t\tisAnimating = false;\n\n\t\t},\n\n\t\tsetAnimationLoop: function ( callback ) {\n\n\t\t\tanimationLoop = callback;\n\n\t\t},\n\n\t\tsetContext: function ( value ) {\n\n\t\t\tcontext = value;\n\n\t\t}\n\n\t};\n\n}\n\nfunction WebGLAttributes( gl, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tconst buffers = new WeakMap();\n\n\tfunction createBuffer( attribute, bufferType ) {\n\n\t\tconst array = attribute.array;\n\t\tconst usage = attribute.usage;\n\t\tconst size = array.byteLength;\n\n\t\tconst buffer = gl.createBuffer();\n\n\t\tgl.bindBuffer( bufferType, buffer );\n\t\tgl.bufferData( bufferType, array, usage );\n\n\t\tattribute.onUploadCallback();\n\n\t\tlet type;\n\n\t\tif ( array instanceof Float32Array ) {\n\n\t\t\ttype = gl.FLOAT;\n\n\t\t} else if ( array instanceof Uint16Array ) {\n\n\t\t\tif ( attribute.isFloat16BufferAttribute ) {\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\ttype = gl.HALF_FLOAT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new Error( 'THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.' );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\ttype = gl.UNSIGNED_SHORT;\n\n\t\t\t}\n\n\t\t} else if ( array instanceof Int16Array ) {\n\n\t\t\ttype = gl.SHORT;\n\n\t\t} else if ( array instanceof Uint32Array ) {\n\n\t\t\ttype = gl.UNSIGNED_INT;\n\n\t\t} else if ( array instanceof Int32Array ) {\n\n\t\t\ttype = gl.INT;\n\n\t\t} else if ( array instanceof Int8Array ) {\n\n\t\t\ttype = gl.BYTE;\n\n\t\t} else if ( array instanceof Uint8Array ) {\n\n\t\t\ttype = gl.UNSIGNED_BYTE;\n\n\t\t} else if ( array instanceof Uint8ClampedArray ) {\n\n\t\t\ttype = gl.UNSIGNED_BYTE;\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.WebGLAttributes: Unsupported buffer data format: ' + array );\n\n\t\t}\n\n\t\treturn {\n\t\t\tbuffer: buffer,\n\t\t\ttype: type,\n\t\t\tbytesPerElement: array.BYTES_PER_ELEMENT,\n\t\t\tversion: attribute.version,\n\t\t\tsize: size\n\t\t};\n\n\t}\n\n\tfunction updateBuffer( buffer, attribute, bufferType ) {\n\n\t\tconst array = attribute.array;\n\t\tconst updateRange = attribute._updateRange; // deprecated\n\t\tconst updateRanges = attribute.updateRanges;\n\n\t\tgl.bindBuffer( bufferType, buffer );\n\n\t\tif ( updateRange.count === - 1 && updateRanges.length === 0 ) {\n\n\t\t\t// Not using update ranges\n\t\t\tgl.bufferSubData( bufferType, 0, array );\n\n\t\t}\n\n\t\tif ( updateRanges.length !== 0 ) {\n\n\t\t\tfor ( let i = 0, l = updateRanges.length; i < l; i ++ ) {\n\n\t\t\t\tconst range = updateRanges[ i ];\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tgl.bufferSubData( bufferType, range.start * array.BYTES_PER_ELEMENT,\n\t\t\t\t\t\tarray, range.start, range.count );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tgl.bufferSubData( bufferType, range.start * array.BYTES_PER_ELEMENT,\n\t\t\t\t\t\tarray.subarray( range.start, range.start + range.count ) );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tattribute.clearUpdateRanges();\n\n\t\t}\n\n\t\t// deprecated\n\t\tif ( updateRange.count !== - 1 ) {\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\tgl.bufferSubData( bufferType, updateRange.offset * array.BYTES_PER_ELEMENT,\n\t\t\t\t\tarray, updateRange.offset, updateRange.count );\n\n\t\t\t} else {\n\n\t\t\t\tgl.bufferSubData( bufferType, updateRange.offset * array.BYTES_PER_ELEMENT,\n\t\t\t\t\tarray.subarray( updateRange.offset, updateRange.offset + updateRange.count ) );\n\n\t\t\t}\n\n\t\t\tupdateRange.count = - 1; // reset range\n\n\t\t}\n\n\t\tattribute.onUploadCallback();\n\n\t}\n\n\t//\n\n\tfunction get( attribute ) {\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\treturn buffers.get( attribute );\n\n\t}\n\n\tfunction remove( attribute ) {\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\tconst data = buffers.get( attribute );\n\n\t\tif ( data ) {\n\n\t\t\tgl.deleteBuffer( data.buffer );\n\n\t\t\tbuffers.delete( attribute );\n\n\t\t}\n\n\t}\n\n\tfunction update( attribute, bufferType ) {\n\n\t\tif ( attribute.isGLBufferAttribute ) {\n\n\t\t\tconst cached = buffers.get( attribute );\n\n\t\t\tif ( ! cached || cached.version < attribute.version ) {\n\n\t\t\t\tbuffers.set( attribute, {\n\t\t\t\t\tbuffer: attribute.buffer,\n\t\t\t\t\ttype: attribute.type,\n\t\t\t\t\tbytesPerElement: attribute.elementSize,\n\t\t\t\t\tversion: attribute.version\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\tconst data = buffers.get( attribute );\n\n\t\tif ( data === undefined ) {\n\n\t\t\tbuffers.set( attribute, createBuffer( attribute, bufferType ) );\n\n\t\t} else if ( data.version < attribute.version ) {\n\n\t\t\tif ( data.size !== attribute.array.byteLength ) {\n\n\t\t\t\tthrow new Error( 'THREE.WebGLAttributes: The size of the buffer attribute\\'s array buffer does not match the original size. Resizing buffer attributes is not supported.' );\n\n\t\t\t}\n\n\t\t\tupdateBuffer( data.buffer, attribute, bufferType );\n\n\t\t\tdata.version = attribute.version;\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\tget: get,\n\t\tremove: remove,\n\t\tupdate: update\n\n\t};\n\n}\n\nclass PlaneGeometry extends BufferGeometry {\n\n\tconstructor( width = 1, height = 1, widthSegments = 1, heightSegments = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'PlaneGeometry';\n\n\t\tthis.parameters = {\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments\n\t\t};\n\n\t\tconst width_half = width / 2;\n\t\tconst height_half = height / 2;\n\n\t\tconst gridX = Math.floor( widthSegments );\n\t\tconst gridY = Math.floor( heightSegments );\n\n\t\tconst gridX1 = gridX + 1;\n\t\tconst gridY1 = gridY + 1;\n\n\t\tconst segment_width = width / gridX;\n\t\tconst segment_height = height / gridY;\n\n\t\t//\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\tfor ( let iy = 0; iy < gridY1; iy ++ ) {\n\n\t\t\tconst y = iy * segment_height - height_half;\n\n\t\t\tfor ( let ix = 0; ix < gridX1; ix ++ ) {\n\n\t\t\t\tconst x = ix * segment_width - width_half;\n\n\t\t\t\tvertices.push( x, - y, 0 );\n\n\t\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t\tuvs.push( ix / gridX );\n\t\t\t\tuvs.push( 1 - ( iy / gridY ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfor ( let iy = 0; iy < gridY; iy ++ ) {\n\n\t\t\tfor ( let ix = 0; ix < gridX; ix ++ ) {\n\n\t\t\t\tconst a = ix + gridX1 * iy;\n\t\t\t\tconst b = ix + gridX1 * ( iy + 1 );\n\t\t\t\tconst c = ( ix + 1 ) + gridX1 * ( iy + 1 );\n\t\t\t\tconst d = ( ix + 1 ) + gridX1 * iy;\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new PlaneGeometry( data.width, data.height, data.widthSegments, data.heightSegments );\n\n\t}\n\n}\n\nvar alphahash_fragment = \"#ifdef USE_ALPHAHASH\\n\\tif ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard;\\n#endif\";\n\nvar alphahash_pars_fragment = \"#ifdef USE_ALPHAHASH\\n\\tconst float ALPHA_HASH_SCALE = 0.05;\\n\\tfloat hash2D( vec2 value ) {\\n\\t\\treturn fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) );\\n\\t}\\n\\tfloat hash3D( vec3 value ) {\\n\\t\\treturn hash2D( vec2( hash2D( value.xy ), value.z ) );\\n\\t}\\n\\tfloat getAlphaHashThreshold( vec3 position ) {\\n\\t\\tfloat maxDeriv = max(\\n\\t\\t\\tlength( dFdx( position.xyz ) ),\\n\\t\\t\\tlength( dFdy( position.xyz ) )\\n\\t\\t);\\n\\t\\tfloat pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv );\\n\\t\\tvec2 pixScales = vec2(\\n\\t\\t\\texp2( floor( log2( pixScale ) ) ),\\n\\t\\t\\texp2( ceil( log2( pixScale ) ) )\\n\\t\\t);\\n\\t\\tvec2 alpha = vec2(\\n\\t\\t\\thash3D( floor( pixScales.x * position.xyz ) ),\\n\\t\\t\\thash3D( floor( pixScales.y * position.xyz ) )\\n\\t\\t);\\n\\t\\tfloat lerpFactor = fract( log2( pixScale ) );\\n\\t\\tfloat x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y;\\n\\t\\tfloat a = min( lerpFactor, 1.0 - lerpFactor );\\n\\t\\tvec3 cases = vec3(\\n\\t\\t\\tx * x / ( 2.0 * a * ( 1.0 - a ) ),\\n\\t\\t\\t( x - 0.5 * a ) / ( 1.0 - a ),\\n\\t\\t\\t1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) )\\n\\t\\t);\\n\\t\\tfloat threshold = ( x < ( 1.0 - a ) )\\n\\t\\t\\t? ( ( x < a ) ? cases.x : cases.y )\\n\\t\\t\\t: cases.z;\\n\\t\\treturn clamp( threshold , 1.0e-6, 1.0 );\\n\\t}\\n#endif\";\n\nvar alphamap_fragment = \"#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g;\\n#endif\";\n\nvar alphamap_pars_fragment = \"#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif\";\n\nvar alphatest_fragment = \"#ifdef USE_ALPHATEST\\n\\tif ( diffuseColor.a < alphaTest ) discard;\\n#endif\";\n\nvar alphatest_pars_fragment = \"#ifdef USE_ALPHATEST\\n\\tuniform float alphaTest;\\n#endif\";\n\nvar aomap_fragment = \"#ifdef USE_AOMAP\\n\\tfloat ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0;\\n\\treflectedLight.indirectDiffuse *= ambientOcclusion;\\n\\t#if defined( USE_CLEARCOAT ) \\n\\t\\tclearcoatSpecularIndirect *= ambientOcclusion;\\n\\t#endif\\n\\t#if defined( USE_SHEEN ) \\n\\t\\tsheenSpecularIndirect *= ambientOcclusion;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD )\\n\\t\\tfloat dotNV = saturate( dot( geometryNormal, geometryViewDir ) );\\n\\t\\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );\\n\\t#endif\\n#endif\";\n\nvar aomap_pars_fragment = \"#ifdef USE_AOMAP\\n\\tuniform sampler2D aoMap;\\n\\tuniform float aoMapIntensity;\\n#endif\";\n\nvar batching_pars_vertex = \"#ifdef USE_BATCHING\\n\\tattribute float batchId;\\n\\tuniform highp sampler2D batchingTexture;\\n\\tmat4 getBatchingMatrix( const in float i ) {\\n\\t\\tint size = textureSize( batchingTexture, 0 ).x;\\n\\t\\tint j = int( i ) * 4;\\n\\t\\tint x = j % size;\\n\\t\\tint y = j / size;\\n\\t\\tvec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 );\\n\\t\\tvec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 );\\n\\t\\tvec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 );\\n\\t\\tvec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 );\\n\\t\\treturn mat4( v1, v2, v3, v4 );\\n\\t}\\n#endif\";\n\nvar batching_vertex = \"#ifdef USE_BATCHING\\n\\tmat4 batchingMatrix = getBatchingMatrix( batchId );\\n#endif\";\n\nvar begin_vertex = \"vec3 transformed = vec3( position );\\n#ifdef USE_ALPHAHASH\\n\\tvPosition = vec3( position );\\n#endif\";\n\nvar beginnormal_vertex = \"vec3 objectNormal = vec3( normal );\\n#ifdef USE_TANGENT\\n\\tvec3 objectTangent = vec3( tangent.xyz );\\n#endif\";\n\nvar bsdfs = \"float G_BlinnPhong_Implicit( ) {\\n\\treturn 0.25;\\n}\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\n\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\n}\\nvec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\tvec3 F = F_Schlick( specularColor, 1.0, dotVH );\\n\\tfloat G = G_BlinnPhong_Implicit( );\\n\\tfloat D = D_BlinnPhong( shininess, dotNH );\\n\\treturn F * ( G * D );\\n} // validated\";\n\nvar iridescence_fragment = \"#ifdef USE_IRIDESCENCE\\n\\tconst mat3 XYZ_TO_REC709 = mat3(\\n\\t\\t 3.2404542, -0.9692660, 0.0556434,\\n\\t\\t-1.5371385, 1.8760108, -0.2040259,\\n\\t\\t-0.4985314, 0.0415560, 1.0572252\\n\\t);\\n\\tvec3 Fresnel0ToIor( vec3 fresnel0 ) {\\n\\t\\tvec3 sqrtF0 = sqrt( fresnel0 );\\n\\t\\treturn ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 );\\n\\t}\\n\\tvec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) {\\n\\t\\treturn pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) );\\n\\t}\\n\\tfloat IorToFresnel0( float transmittedIor, float incidentIor ) {\\n\\t\\treturn pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor ));\\n\\t}\\n\\tvec3 evalSensitivity( float OPD, vec3 shift ) {\\n\\t\\tfloat phase = 2.0 * PI * OPD * 1.0e-9;\\n\\t\\tvec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 );\\n\\t\\tvec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 );\\n\\t\\tvec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 );\\n\\t\\tvec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var );\\n\\t\\txyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) );\\n\\t\\txyz /= 1.0685e-7;\\n\\t\\tvec3 rgb = XYZ_TO_REC709 * xyz;\\n\\t\\treturn rgb;\\n\\t}\\n\\tvec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) {\\n\\t\\tvec3 I;\\n\\t\\tfloat iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) );\\n\\t\\tfloat sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) );\\n\\t\\tfloat cosTheta2Sq = 1.0 - sinTheta2Sq;\\n\\t\\tif ( cosTheta2Sq < 0.0 ) {\\n\\t\\t\\treturn vec3( 1.0 );\\n\\t\\t}\\n\\t\\tfloat cosTheta2 = sqrt( cosTheta2Sq );\\n\\t\\tfloat R0 = IorToFresnel0( iridescenceIOR, outsideIOR );\\n\\t\\tfloat R12 = F_Schlick( R0, 1.0, cosTheta1 );\\n\\t\\tfloat T121 = 1.0 - R12;\\n\\t\\tfloat phi12 = 0.0;\\n\\t\\tif ( iridescenceIOR < outsideIOR ) phi12 = PI;\\n\\t\\tfloat phi21 = PI - phi12;\\n\\t\\tvec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) );\\t\\tvec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR );\\n\\t\\tvec3 R23 = F_Schlick( R1, 1.0, cosTheta2 );\\n\\t\\tvec3 phi23 = vec3( 0.0 );\\n\\t\\tif ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI;\\n\\t\\tif ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI;\\n\\t\\tif ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI;\\n\\t\\tfloat OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2;\\n\\t\\tvec3 phi = vec3( phi21 ) + phi23;\\n\\t\\tvec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 );\\n\\t\\tvec3 r123 = sqrt( R123 );\\n\\t\\tvec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 );\\n\\t\\tvec3 C0 = R12 + Rs;\\n\\t\\tI = C0;\\n\\t\\tvec3 Cm = Rs - T121;\\n\\t\\tfor ( int m = 1; m <= 2; ++ m ) {\\n\\t\\t\\tCm *= r123;\\n\\t\\t\\tvec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi );\\n\\t\\t\\tI += Cm * Sm;\\n\\t\\t}\\n\\t\\treturn max( I, vec3( 0.0 ) );\\n\\t}\\n#endif\";\n\nvar bumpmap_pars_fragment = \"#ifdef USE_BUMPMAP\\n\\tuniform sampler2D bumpMap;\\n\\tuniform float bumpScale;\\n\\tvec2 dHdxy_fwd() {\\n\\t\\tvec2 dSTdx = dFdx( vBumpMapUv );\\n\\t\\tvec2 dSTdy = dFdy( vBumpMapUv );\\n\\t\\tfloat Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x;\\n\\t\\tfloat dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll;\\n\\t\\tfloat dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll;\\n\\t\\treturn vec2( dBx, dBy );\\n\\t}\\n\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {\\n\\t\\tvec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) );\\n\\t\\tvec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) );\\n\\t\\tvec3 vN = surf_norm;\\n\\t\\tvec3 R1 = cross( vSigmaY, vN );\\n\\t\\tvec3 R2 = cross( vN, vSigmaX );\\n\\t\\tfloat fDet = dot( vSigmaX, R1 ) * faceDirection;\\n\\t\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\n\\t\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\n\\t}\\n#endif\";\n\nvar clipping_planes_fragment = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvec4 plane;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\n\\t\\tplane = clippingPlanes[ i ];\\n\\t\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\n\\t\\tbool clipped = true;\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\n\\t\\t\\tplane = clippingPlanes[ i ];\\n\\t\\t\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t\\tif ( clipped ) discard;\\n\\t#endif\\n#endif\";\n\nvar clipping_planes_pars_fragment = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\n#endif\";\n\nvar clipping_planes_pars_vertex = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n#endif\";\n\nvar clipping_planes_vertex = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvClipPosition = - mvPosition.xyz;\\n#endif\";\n\nvar color_fragment = \"#if defined( USE_COLOR_ALPHA )\\n\\tdiffuseColor *= vColor;\\n#elif defined( USE_COLOR )\\n\\tdiffuseColor.rgb *= vColor;\\n#endif\";\n\nvar color_pars_fragment = \"#if defined( USE_COLOR_ALPHA )\\n\\tvarying vec4 vColor;\\n#elif defined( USE_COLOR )\\n\\tvarying vec3 vColor;\\n#endif\";\n\nvar color_pars_vertex = \"#if defined( USE_COLOR_ALPHA )\\n\\tvarying vec4 vColor;\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\tvarying vec3 vColor;\\n#endif\";\n\nvar color_vertex = \"#if defined( USE_COLOR_ALPHA )\\n\\tvColor = vec4( 1.0 );\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\tvColor = vec3( 1.0 );\\n#endif\\n#ifdef USE_COLOR\\n\\tvColor *= color;\\n#endif\\n#ifdef USE_INSTANCING_COLOR\\n\\tvColor.xyz *= instanceColor.xyz;\\n#endif\";\n\nvar common = \"#define PI 3.141592653589793\\n#define PI2 6.283185307179586\\n#define PI_HALF 1.5707963267948966\\n#define RECIPROCAL_PI 0.3183098861837907\\n#define RECIPROCAL_PI2 0.15915494309189535\\n#define EPSILON 1e-6\\n#ifndef saturate\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\n#define whiteComplement( a ) ( 1.0 - saturate( a ) )\\nfloat pow2( const in float x ) { return x*x; }\\nvec3 pow2( const in vec3 x ) { return x*x; }\\nfloat pow3( const in float x ) { return x*x*x; }\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\nfloat max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\nfloat average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); }\\nhighp float rand( const in vec2 uv ) {\\n\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\n\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\n\\treturn fract( sin( sn ) * c );\\n}\\n#ifdef HIGH_PRECISION\\n\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\n#else\\n\\tfloat precisionSafeLength( vec3 v ) {\\n\\t\\tfloat maxComponent = max3( abs( v ) );\\n\\t\\treturn length( v / maxComponent ) * maxComponent;\\n\\t}\\n#endif\\nstruct IncidentLight {\\n\\tvec3 color;\\n\\tvec3 direction;\\n\\tbool visible;\\n};\\nstruct ReflectedLight {\\n\\tvec3 directDiffuse;\\n\\tvec3 directSpecular;\\n\\tvec3 indirectDiffuse;\\n\\tvec3 indirectSpecular;\\n};\\n#ifdef USE_ALPHAHASH\\n\\tvarying vec3 vPosition;\\n#endif\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n}\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\n}\\nmat3 transposeMat3( const in mat3 m ) {\\n\\tmat3 tmp;\\n\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\n\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\n\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\n\\treturn tmp;\\n}\\nfloat luminance( const in vec3 rgb ) {\\n\\tconst vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 );\\n\\treturn dot( weights, rgb );\\n}\\nbool isPerspectiveMatrix( mat4 m ) {\\n\\treturn m[ 2 ][ 3 ] == - 1.0;\\n}\\nvec2 equirectUv( in vec3 dir ) {\\n\\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\\n\\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\treturn vec2( u, v );\\n}\\nvec3 BRDF_Lambert( const in vec3 diffuseColor ) {\\n\\treturn RECIPROCAL_PI * diffuseColor;\\n}\\nvec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n}\\nfloat F_Schlick( const in float f0, const in float f90, const in float dotVH ) {\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n} // validated\";\n\nvar cube_uv_reflection_fragment = \"#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t#define cubeUV_minMipLevel 4.0\\n\\t#define cubeUV_minTileSize 16.0\\n\\tfloat getFace( vec3 direction ) {\\n\\t\\tvec3 absDirection = abs( direction );\\n\\t\\tfloat face = - 1.0;\\n\\t\\tif ( absDirection.x > absDirection.z ) {\\n\\t\\t\\tif ( absDirection.x > absDirection.y )\\n\\t\\t\\t\\tface = direction.x > 0.0 ? 0.0 : 3.0;\\n\\t\\t\\telse\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\t\\t} else {\\n\\t\\t\\tif ( absDirection.z > absDirection.y )\\n\\t\\t\\t\\tface = direction.z > 0.0 ? 2.0 : 5.0;\\n\\t\\t\\telse\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\t\\t}\\n\\t\\treturn face;\\n\\t}\\n\\tvec2 getUV( vec3 direction, float face ) {\\n\\t\\tvec2 uv;\\n\\t\\tif ( face == 0.0 ) {\\n\\t\\t\\tuv = vec2( direction.z, direction.y ) / abs( direction.x );\\n\\t\\t} else if ( face == 1.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y );\\n\\t\\t} else if ( face == 2.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, direction.y ) / abs( direction.z );\\n\\t\\t} else if ( face == 3.0 ) {\\n\\t\\t\\tuv = vec2( - direction.z, direction.y ) / abs( direction.x );\\n\\t\\t} else if ( face == 4.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, direction.z ) / abs( direction.y );\\n\\t\\t} else {\\n\\t\\t\\tuv = vec2( direction.x, direction.y ) / abs( direction.z );\\n\\t\\t}\\n\\t\\treturn 0.5 * ( uv + 1.0 );\\n\\t}\\n\\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\\n\\t\\tfloat face = getFace( direction );\\n\\t\\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\\n\\t\\tmipInt = max( mipInt, cubeUV_minMipLevel );\\n\\t\\tfloat faceSize = exp2( mipInt );\\n\\t\\thighp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0;\\n\\t\\tif ( face > 2.0 ) {\\n\\t\\t\\tuv.y += faceSize;\\n\\t\\t\\tface -= 3.0;\\n\\t\\t}\\n\\t\\tuv.x += face * faceSize;\\n\\t\\tuv.x += filterInt * 3.0 * cubeUV_minTileSize;\\n\\t\\tuv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize );\\n\\t\\tuv.x *= CUBEUV_TEXEL_WIDTH;\\n\\t\\tuv.y *= CUBEUV_TEXEL_HEIGHT;\\n\\t\\t#ifdef texture2DGradEXT\\n\\t\\t\\treturn texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb;\\n\\t\\t#else\\n\\t\\t\\treturn texture2D( envMap, uv ).rgb;\\n\\t\\t#endif\\n\\t}\\n\\t#define cubeUV_r0 1.0\\n\\t#define cubeUV_m0 - 2.0\\n\\t#define cubeUV_r1 0.8\\n\\t#define cubeUV_m1 - 1.0\\n\\t#define cubeUV_r4 0.4\\n\\t#define cubeUV_m4 2.0\\n\\t#define cubeUV_r5 0.305\\n\\t#define cubeUV_m5 3.0\\n\\t#define cubeUV_r6 0.21\\n\\t#define cubeUV_m6 4.0\\n\\tfloat roughnessToMip( float roughness ) {\\n\\t\\tfloat mip = 0.0;\\n\\t\\tif ( roughness >= cubeUV_r1 ) {\\n\\t\\t\\tmip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0;\\n\\t\\t} else if ( roughness >= cubeUV_r4 ) {\\n\\t\\t\\tmip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1;\\n\\t\\t} else if ( roughness >= cubeUV_r5 ) {\\n\\t\\t\\tmip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4;\\n\\t\\t} else if ( roughness >= cubeUV_r6 ) {\\n\\t\\t\\tmip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5;\\n\\t\\t} else {\\n\\t\\t\\tmip = - 2.0 * log2( 1.16 * roughness );\\t\\t}\\n\\t\\treturn mip;\\n\\t}\\n\\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\\n\\t\\tfloat mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP );\\n\\t\\tfloat mipF = fract( mip );\\n\\t\\tfloat mipInt = floor( mip );\\n\\t\\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\\n\\t\\tif ( mipF == 0.0 ) {\\n\\t\\t\\treturn vec4( color0, 1.0 );\\n\\t\\t} else {\\n\\t\\t\\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\\n\\t\\t\\treturn vec4( mix( color0, color1, mipF ), 1.0 );\\n\\t\\t}\\n\\t}\\n#endif\";\n\nvar defaultnormal_vertex = \"vec3 transformedNormal = objectNormal;\\n#ifdef USE_TANGENT\\n\\tvec3 transformedTangent = objectTangent;\\n#endif\\n#ifdef USE_BATCHING\\n\\tmat3 bm = mat3( batchingMatrix );\\n\\ttransformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) );\\n\\ttransformedNormal = bm * transformedNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\ttransformedTangent = bm * transformedTangent;\\n\\t#endif\\n#endif\\n#ifdef USE_INSTANCING\\n\\tmat3 im = mat3( instanceMatrix );\\n\\ttransformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) );\\n\\ttransformedNormal = im * transformedNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\ttransformedTangent = im * transformedTangent;\\n\\t#endif\\n#endif\\ntransformedNormal = normalMatrix * transformedNormal;\\n#ifdef FLIP_SIDED\\n\\ttransformedNormal = - transformedNormal;\\n#endif\\n#ifdef USE_TANGENT\\n\\ttransformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz;\\n\\t#ifdef FLIP_SIDED\\n\\t\\ttransformedTangent = - transformedTangent;\\n\\t#endif\\n#endif\";\n\nvar displacementmap_pars_vertex = \"#ifdef USE_DISPLACEMENTMAP\\n\\tuniform sampler2D displacementMap;\\n\\tuniform float displacementScale;\\n\\tuniform float displacementBias;\\n#endif\";\n\nvar displacementmap_vertex = \"#ifdef USE_DISPLACEMENTMAP\\n\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias );\\n#endif\";\n\nvar emissivemap_fragment = \"#ifdef USE_EMISSIVEMAP\\n\\tvec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv );\\n\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\n#endif\";\n\nvar emissivemap_pars_fragment = \"#ifdef USE_EMISSIVEMAP\\n\\tuniform sampler2D emissiveMap;\\n#endif\";\n\nvar colorspace_fragment = \"gl_FragColor = linearToOutputTexel( gl_FragColor );\";\n\nvar colorspace_pars_fragment = \"\\nconst mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3(\\n\\tvec3( 0.8224621, 0.177538, 0.0 ),\\n\\tvec3( 0.0331941, 0.9668058, 0.0 ),\\n\\tvec3( 0.0170827, 0.0723974, 0.9105199 )\\n);\\nconst mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3(\\n\\tvec3( 1.2249401, - 0.2249404, 0.0 ),\\n\\tvec3( - 0.0420569, 1.0420571, 0.0 ),\\n\\tvec3( - 0.0196376, - 0.0786361, 1.0982735 )\\n);\\nvec4 LinearSRGBToLinearDisplayP3( in vec4 value ) {\\n\\treturn vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a );\\n}\\nvec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) {\\n\\treturn vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a );\\n}\\nvec4 LinearTransferOETF( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 sRGBTransferOETF( in vec4 value ) {\\n\\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\\n}\\nvec4 LinearToLinear( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 LinearTosRGB( in vec4 value ) {\\n\\treturn sRGBTransferOETF( value );\\n}\";\n\nvar envmap_fragment = \"#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvec3 cameraToFrag;\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#else\\n\\t\\tvec3 reflectVec = vReflect;\\n\\t#endif\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\n\\t#else\\n\\t\\tvec4 envColor = vec4( 0.0 );\\n\\t#endif\\n\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\n\\t\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_MIX )\\n\\t\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_ADD )\\n\\t\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\n\\t#endif\\n#endif\";\n\nvar envmap_common_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tuniform float envMapIntensity;\\n\\tuniform float flipEnvMap;\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tuniform samplerCube envMap;\\n\\t#else\\n\\t\\tuniform sampler2D envMap;\\n\\t#endif\\n\\t\\n#endif\";\n\nvar envmap_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tuniform float reflectivity;\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t\\tuniform float refractionRatio;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t#endif\\n#endif\";\n\nvar envmap_pars_vertex = \"#ifdef USE_ENVMAP\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\t\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t\\tuniform float refractionRatio;\\n\\t#endif\\n#endif\";\n\nvar envmap_vertex = \"#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvWorldPosition = worldPosition.xyz;\\n\\t#else\\n\\t\\tvec3 cameraToVertex;\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvReflect = reflect( cameraToVertex, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar fog_vertex = \"#ifdef USE_FOG\\n\\tvFogDepth = - mvPosition.z;\\n#endif\";\n\nvar fog_pars_vertex = \"#ifdef USE_FOG\\n\\tvarying float vFogDepth;\\n#endif\";\n\nvar fog_fragment = \"#ifdef USE_FOG\\n\\t#ifdef FOG_EXP2\\n\\t\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );\\n\\t#else\\n\\t\\tfloat fogFactor = smoothstep( fogNear, fogFar, vFogDepth );\\n\\t#endif\\n\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\n#endif\";\n\nvar fog_pars_fragment = \"#ifdef USE_FOG\\n\\tuniform vec3 fogColor;\\n\\tvarying float vFogDepth;\\n\\t#ifdef FOG_EXP2\\n\\t\\tuniform float fogDensity;\\n\\t#else\\n\\t\\tuniform float fogNear;\\n\\t\\tuniform float fogFar;\\n\\t#endif\\n#endif\";\n\nvar gradientmap_pars_fragment = \"#ifdef USE_GRADIENTMAP\\n\\tuniform sampler2D gradientMap;\\n#endif\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\n\\tfloat dotNL = dot( normal, lightDirection );\\n\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\n\\t#ifdef USE_GRADIENTMAP\\n\\t\\treturn vec3( texture2D( gradientMap, coord ).r );\\n\\t#else\\n\\t\\tvec2 fw = fwidth( coord ) * 0.5;\\n\\t\\treturn mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) );\\n\\t#endif\\n}\";\n\nvar lightmap_fragment = \"#ifdef USE_LIGHTMAP\\n\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\tvec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;\\n\\treflectedLight.indirectDiffuse += lightMapIrradiance;\\n#endif\";\n\nvar lightmap_pars_fragment = \"#ifdef USE_LIGHTMAP\\n\\tuniform sampler2D lightMap;\\n\\tuniform float lightMapIntensity;\\n#endif\";\n\nvar lights_lambert_fragment = \"LambertMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularStrength = specularStrength;\";\n\nvar lights_lambert_pars_fragment = \"varying vec3 vViewPosition;\\nstruct LambertMaterial {\\n\\tvec3 diffuseColor;\\n\\tfloat specularStrength;\\n};\\nvoid RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Lambert\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Lambert\";\n\nvar lights_pars_begin = \"uniform bool receiveShadow;\\nuniform vec3 ambientLightColor;\\n#if defined( USE_LIGHT_PROBES )\\n\\tuniform vec3 lightProbe[ 9 ];\\n#endif\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\n\\tfloat x = normal.x, y = normal.y, z = normal.z;\\n\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\n\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\n\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\n\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\n\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\n\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\n\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\n\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\n\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\n\\treturn result;\\n}\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {\\n\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\n\\treturn irradiance;\\n}\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\n\\tvec3 irradiance = ambientLightColor;\\n\\treturn irradiance;\\n}\\nfloat getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\n\\t#if defined ( LEGACY_LIGHTS )\\n\\t\\tif ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\n\\t\\t\\treturn pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );\\n\\t\\t}\\n\\t\\treturn 1.0;\\n\\t#else\\n\\t\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\n\\t\\tif ( cutoffDistance > 0.0 ) {\\n\\t\\t\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\n\\t\\t}\\n\\t\\treturn distanceFalloff;\\n\\t#endif\\n}\\nfloat getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {\\n\\treturn smoothstep( coneCosine, penumbraCosine, angleCosine );\\n}\\n#if NUM_DIR_LIGHTS > 0\\n\\tstruct DirectionalLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t};\\n\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\n\\tvoid getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) {\\n\\t\\tlight.color = directionalLight.color;\\n\\t\\tlight.direction = directionalLight.direction;\\n\\t\\tlight.visible = true;\\n\\t}\\n#endif\\n#if NUM_POINT_LIGHTS > 0\\n\\tstruct PointLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t};\\n\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\n\\tvoid getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) {\\n\\t\\tvec3 lVector = pointLight.position - geometryPosition;\\n\\t\\tlight.direction = normalize( lVector );\\n\\t\\tfloat lightDistance = length( lVector );\\n\\t\\tlight.color = pointLight.color;\\n\\t\\tlight.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );\\n\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\t}\\n#endif\\n#if NUM_SPOT_LIGHTS > 0\\n\\tstruct SpotLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t\\tfloat coneCos;\\n\\t\\tfloat penumbraCos;\\n\\t};\\n\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\n\\tvoid getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) {\\n\\t\\tvec3 lVector = spotLight.position - geometryPosition;\\n\\t\\tlight.direction = normalize( lVector );\\n\\t\\tfloat angleCos = dot( light.direction, spotLight.direction );\\n\\t\\tfloat spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\n\\t\\tif ( spotAttenuation > 0.0 ) {\\n\\t\\t\\tfloat lightDistance = length( lVector );\\n\\t\\t\\tlight.color = spotLight.color * spotAttenuation;\\n\\t\\t\\tlight.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );\\n\\t\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\t\\t} else {\\n\\t\\t\\tlight.color = vec3( 0.0 );\\n\\t\\t\\tlight.visible = false;\\n\\t\\t}\\n\\t}\\n#endif\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tstruct RectAreaLight {\\n\\t\\tvec3 color;\\n\\t\\tvec3 position;\\n\\t\\tvec3 halfWidth;\\n\\t\\tvec3 halfHeight;\\n\\t};\\n\\tuniform sampler2D ltc_1;\\tuniform sampler2D ltc_2;\\n\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\n#endif\\n#if NUM_HEMI_LIGHTS > 0\\n\\tstruct HemisphereLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 skyColor;\\n\\t\\tvec3 groundColor;\\n\\t};\\n\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\n\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {\\n\\t\\tfloat dotNL = dot( normal, hemiLight.direction );\\n\\t\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\n\\t\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\n\\t\\treturn irradiance;\\n\\t}\\n#endif\";\n\nvar envmap_physical_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tvec3 getIBLIrradiance( const in vec3 normal ) {\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\n\\t\\t\\treturn PI * envMapColor.rgb * envMapIntensity;\\n\\t\\t#else\\n\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t#endif\\n\\t}\\n\\tvec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\tvec3 reflectVec = reflect( - viewDir, normal );\\n\\t\\t\\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\n\\t\\t\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\n\\t\\t\\treturn envMapColor.rgb * envMapIntensity;\\n\\t\\t#else\\n\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t#endif\\n\\t}\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tvec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) {\\n\\t\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\t\\tvec3 bentNormal = cross( bitangent, viewDir );\\n\\t\\t\\t\\tbentNormal = normalize( cross( bentNormal, bitangent ) );\\n\\t\\t\\t\\tbentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) );\\n\\t\\t\\t\\treturn getIBLRadiance( viewDir, bentNormal, roughness );\\n\\t\\t\\t#else\\n\\t\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t\\t#endif\\n\\t\\t}\\n\\t#endif\\n#endif\";\n\nvar lights_toon_fragment = \"ToonMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\";\n\nvar lights_toon_pars_fragment = \"varying vec3 vViewPosition;\\nstruct ToonMaterial {\\n\\tvec3 diffuseColor;\\n};\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tvec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Toon\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Toon\";\n\nvar lights_phong_fragment = \"BlinnPhongMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularColor = specular;\\nmaterial.specularShininess = shininess;\\nmaterial.specularStrength = specularStrength;\";\n\nvar lights_phong_pars_fragment = \"varying vec3 vViewPosition;\\nstruct BlinnPhongMaterial {\\n\\tvec3 diffuseColor;\\n\\tvec3 specularColor;\\n\\tfloat specularShininess;\\n\\tfloat specularStrength;\\n};\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\treflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength;\\n}\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_BlinnPhong\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_BlinnPhong\";\n\nvar lights_physical_fragment = \"PhysicalMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\nvec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) );\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\nmaterial.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;\\nmaterial.roughness = min( material.roughness, 1.0 );\\n#ifdef IOR\\n\\tmaterial.ior = ior;\\n\\t#ifdef USE_SPECULAR\\n\\t\\tfloat specularIntensityFactor = specularIntensity;\\n\\t\\tvec3 specularColorFactor = specularColor;\\n\\t\\t#ifdef USE_SPECULAR_COLORMAP\\n\\t\\t\\tspecularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb;\\n\\t\\t#endif\\n\\t\\t#ifdef USE_SPECULAR_INTENSITYMAP\\n\\t\\t\\tspecularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a;\\n\\t\\t#endif\\n\\t\\tmaterial.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );\\n\\t#else\\n\\t\\tfloat specularIntensityFactor = 1.0;\\n\\t\\tvec3 specularColorFactor = vec3( 1.0 );\\n\\t\\tmaterial.specularF90 = 1.0;\\n\\t#endif\\n\\tmaterial.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );\\n#else\\n\\tmaterial.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );\\n\\tmaterial.specularF90 = 1.0;\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tmaterial.clearcoat = clearcoat;\\n\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\n\\tmaterial.clearcoatF0 = vec3( 0.04 );\\n\\tmaterial.clearcoatF90 = 1.0;\\n\\t#ifdef USE_CLEARCOATMAP\\n\\t\\tmaterial.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\t\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y;\\n\\t#endif\\n\\tmaterial.clearcoat = saturate( material.clearcoat );\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\n\\tmaterial.clearcoatRoughness += geometryRoughness;\\n\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tmaterial.iridescence = iridescence;\\n\\tmaterial.iridescenceIOR = iridescenceIOR;\\n\\t#ifdef USE_IRIDESCENCEMAP\\n\\t\\tmaterial.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r;\\n\\t#endif\\n\\t#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\t\\tmaterial.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum;\\n\\t#else\\n\\t\\tmaterial.iridescenceThickness = iridescenceThicknessMaximum;\\n\\t#endif\\n#endif\\n#ifdef USE_SHEEN\\n\\tmaterial.sheenColor = sheenColor;\\n\\t#ifdef USE_SHEEN_COLORMAP\\n\\t\\tmaterial.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb;\\n\\t#endif\\n\\tmaterial.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );\\n\\t#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\t\\tmaterial.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a;\\n\\t#endif\\n#endif\\n#ifdef USE_ANISOTROPY\\n\\t#ifdef USE_ANISOTROPYMAP\\n\\t\\tmat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x );\\n\\t\\tvec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb;\\n\\t\\tvec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b;\\n\\t#else\\n\\t\\tvec2 anisotropyV = anisotropyVector;\\n\\t#endif\\n\\tmaterial.anisotropy = length( anisotropyV );\\n\\tif( material.anisotropy == 0.0 ) {\\n\\t\\tanisotropyV = vec2( 1.0, 0.0 );\\n\\t} else {\\n\\t\\tanisotropyV /= material.anisotropy;\\n\\t\\tmaterial.anisotropy = saturate( material.anisotropy );\\n\\t}\\n\\tmaterial.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) );\\n\\tmaterial.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y;\\n\\tmaterial.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y;\\n#endif\";\n\nvar lights_physical_pars_fragment = \"struct PhysicalMaterial {\\n\\tvec3 diffuseColor;\\n\\tfloat roughness;\\n\\tvec3 specularColor;\\n\\tfloat specularF90;\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat clearcoat;\\n\\t\\tfloat clearcoatRoughness;\\n\\t\\tvec3 clearcoatF0;\\n\\t\\tfloat clearcoatF90;\\n\\t#endif\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tfloat iridescence;\\n\\t\\tfloat iridescenceIOR;\\n\\t\\tfloat iridescenceThickness;\\n\\t\\tvec3 iridescenceFresnel;\\n\\t\\tvec3 iridescenceF0;\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tvec3 sheenColor;\\n\\t\\tfloat sheenRoughness;\\n\\t#endif\\n\\t#ifdef IOR\\n\\t\\tfloat ior;\\n\\t#endif\\n\\t#ifdef USE_TRANSMISSION\\n\\t\\tfloat transmission;\\n\\t\\tfloat transmissionAlpha;\\n\\t\\tfloat thickness;\\n\\t\\tfloat attenuationDistance;\\n\\t\\tvec3 attenuationColor;\\n\\t#endif\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tfloat anisotropy;\\n\\t\\tfloat alphaT;\\n\\t\\tvec3 anisotropyT;\\n\\t\\tvec3 anisotropyB;\\n\\t#endif\\n};\\nvec3 clearcoatSpecularDirect = vec3( 0.0 );\\nvec3 clearcoatSpecularIndirect = vec3( 0.0 );\\nvec3 sheenSpecularDirect = vec3( 0.0 );\\nvec3 sheenSpecularIndirect = vec3(0.0 );\\nvec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) {\\n float x = clamp( 1.0 - dotVH, 0.0, 1.0 );\\n float x2 = x * x;\\n float x5 = clamp( x * x2 * x2, 0.0, 0.9999 );\\n return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 );\\n}\\nfloat V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\n\\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\n\\treturn 0.5 / max( gv + gl, EPSILON );\\n}\\nfloat D_GGX( const in float alpha, const in float dotNH ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;\\n\\treturn RECIPROCAL_PI * a2 / pow2( denom );\\n}\\n#ifdef USE_ANISOTROPY\\n\\tfloat V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) {\\n\\t\\tfloat gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) );\\n\\t\\tfloat gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) );\\n\\t\\tfloat v = 0.5 / ( gv + gl );\\n\\t\\treturn saturate(v);\\n\\t}\\n\\tfloat D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) {\\n\\t\\tfloat a2 = alphaT * alphaB;\\n\\t\\thighp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH );\\n\\t\\thighp float v2 = dot( v, v );\\n\\t\\tfloat w2 = a2 / v2;\\n\\t\\treturn RECIPROCAL_PI * a2 * pow2 ( w2 );\\n\\t}\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tvec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) {\\n\\t\\tvec3 f0 = material.clearcoatF0;\\n\\t\\tfloat f90 = material.clearcoatF90;\\n\\t\\tfloat roughness = material.clearcoatRoughness;\\n\\t\\tfloat alpha = pow2( roughness );\\n\\t\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\t\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\t\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\t\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\t\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\t\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\t\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\t\\tfloat D = D_GGX( alpha, dotNH );\\n\\t\\treturn F * ( V * D );\\n\\t}\\n#endif\\nvec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {\\n\\tvec3 f0 = material.specularColor;\\n\\tfloat f90 = material.specularF90;\\n\\tfloat roughness = material.roughness;\\n\\tfloat alpha = pow2( roughness );\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tF = mix( F, material.iridescenceFresnel, material.iridescence );\\n\\t#endif\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tfloat dotTL = dot( material.anisotropyT, lightDir );\\n\\t\\tfloat dotTV = dot( material.anisotropyT, viewDir );\\n\\t\\tfloat dotTH = dot( material.anisotropyT, halfDir );\\n\\t\\tfloat dotBL = dot( material.anisotropyB, lightDir );\\n\\t\\tfloat dotBV = dot( material.anisotropyB, viewDir );\\n\\t\\tfloat dotBH = dot( material.anisotropyB, halfDir );\\n\\t\\tfloat V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL );\\n\\t\\tfloat D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH );\\n\\t#else\\n\\t\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\t\\tfloat D = D_GGX( alpha, dotNH );\\n\\t#endif\\n\\treturn F * ( V * D );\\n}\\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\\n\\tconst float LUT_SIZE = 64.0;\\n\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\n\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\n\\tfloat dotNV = saturate( dot( N, V ) );\\n\\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\\n\\tuv = uv * LUT_SCALE + LUT_BIAS;\\n\\treturn uv;\\n}\\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\\n\\tfloat l = length( f );\\n\\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\\n}\\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\\n\\tfloat x = dot( v1, v2 );\\n\\tfloat y = abs( x );\\n\\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\\n\\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\\n\\tfloat v = a / b;\\n\\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\n\\treturn cross( v1, v2 ) * theta_sintheta;\\n}\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\n\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\n\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\n\\tvec3 lightNormal = cross( v1, v2 );\\n\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\n\\tvec3 T1, T2;\\n\\tT1 = normalize( V - N * dot( V, N ) );\\n\\tT2 = - cross( N, T1 );\\n\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\n\\tvec3 coords[ 4 ];\\n\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\n\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\n\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\n\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\n\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\n\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\n\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\n\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\n\\tvec3 vectorFormFactor = vec3( 0.0 );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\n\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\n\\treturn vec3( result );\\n}\\n#if defined( USE_SHEEN )\\nfloat D_Charlie( float roughness, float dotNH ) {\\n\\tfloat alpha = pow2( roughness );\\n\\tfloat invAlpha = 1.0 / alpha;\\n\\tfloat cos2h = dotNH * dotNH;\\n\\tfloat sin2h = max( 1.0 - cos2h, 0.0078125 );\\n\\treturn ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );\\n}\\nfloat V_Neubelt( float dotNV, float dotNL ) {\\n\\treturn saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );\\n}\\nvec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) {\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat D = D_Charlie( sheenRoughness, dotNH );\\n\\tfloat V = V_Neubelt( dotNV, dotNL );\\n\\treturn sheenColor * ( D * V );\\n}\\n#endif\\nfloat IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat r2 = roughness * roughness;\\n\\tfloat a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95;\\n\\tfloat b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72;\\n\\tfloat DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) );\\n\\treturn saturate( DG * RECIPROCAL_PI );\\n}\\nvec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\n\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\n\\tvec4 r = roughness * c0 + c1;\\n\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\n\\tvec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;\\n\\treturn fab;\\n}\\nvec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\treturn specularColor * fab.x + specularF90 * fab.y;\\n}\\n#ifdef USE_IRIDESCENCE\\nvoid computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n#else\\nvoid computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n#endif\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tvec3 Fr = mix( specularColor, iridescenceF0, iridescence );\\n\\t#else\\n\\t\\tvec3 Fr = specularColor;\\n\\t#endif\\n\\tvec3 FssEss = Fr * fab.x + specularF90 * fab.y;\\n\\tfloat Ess = fab.x + fab.y;\\n\\tfloat Ems = 1.0 - Ess;\\n\\tvec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619;\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\n\\tsingleScatter += FssEss;\\n\\tmultiScatter += Fms * Ems;\\n}\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\t\\tvec3 normal = geometryNormal;\\n\\t\\tvec3 viewDir = geometryViewDir;\\n\\t\\tvec3 position = geometryPosition;\\n\\t\\tvec3 lightPos = rectAreaLight.position;\\n\\t\\tvec3 halfWidth = rectAreaLight.halfWidth;\\n\\t\\tvec3 halfHeight = rectAreaLight.halfHeight;\\n\\t\\tvec3 lightColor = rectAreaLight.color;\\n\\t\\tfloat roughness = material.roughness;\\n\\t\\tvec3 rectCoords[ 4 ];\\n\\t\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight;\\t\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\n\\t\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\n\\t\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\n\\t\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\n\\t\\tvec4 t1 = texture2D( ltc_1, uv );\\n\\t\\tvec4 t2 = texture2D( ltc_2, uv );\\n\\t\\tmat3 mInv = mat3(\\n\\t\\t\\tvec3( t1.x, 0, t1.y ),\\n\\t\\t\\tvec3( 0, 1, 0 ),\\n\\t\\t\\tvec3( t1.z, 0, t1.w )\\n\\t\\t);\\n\\t\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\n\\t\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\n\\t\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\n\\t}\\n#endif\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) );\\n\\t\\tvec3 ccIrradiance = dotNLcc * directLight.color;\\n\\t\\tclearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material );\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tsheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness );\\n\\t#endif\\n\\treflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material );\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tclearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tsheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness );\\n\\t#endif\\n\\tvec3 singleScattering = vec3( 0.0 );\\n\\tvec3 multiScattering = vec3( 0.0 );\\n\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tcomputeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering );\\n\\t#else\\n\\t\\tcomputeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );\\n\\t#endif\\n\\tvec3 totalScattering = singleScattering + multiScattering;\\n\\tvec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) );\\n\\treflectedLight.indirectSpecular += radiance * singleScattering;\\n\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\n\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Physical\\n#define RE_Direct_RectArea\\t\\tRE_Direct_RectArea_Physical\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Physical\\n#define RE_IndirectSpecular\\t\\tRE_IndirectSpecular_Physical\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\n\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\n}\";\n\nvar lights_fragment_begin = \"\\nvec3 geometryPosition = - vViewPosition;\\nvec3 geometryNormal = normal;\\nvec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\nvec3 geometryClearcoatNormal = vec3( 0.0 );\\n#ifdef USE_CLEARCOAT\\n\\tgeometryClearcoatNormal = clearcoatNormal;\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tfloat dotNVi = saturate( dot( normal, geometryViewDir ) );\\n\\tif ( material.iridescenceThickness == 0.0 ) {\\n\\t\\tmaterial.iridescence = 0.0;\\n\\t} else {\\n\\t\\tmaterial.iridescence = saturate( material.iridescence );\\n\\t}\\n\\tif ( material.iridescence > 0.0 ) {\\n\\t\\tmaterial.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor );\\n\\t\\tmaterial.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi );\\n\\t}\\n#endif\\nIncidentLight directLight;\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tPointLight pointLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\t\\tpointLight = pointLights[ i ];\\n\\t\\tgetPointLightInfo( pointLight, geometryPosition, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\n\\t\\tpointLightShadow = pointLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tSpotLight spotLight;\\n\\tvec4 spotColor;\\n\\tvec3 spotLightCoord;\\n\\tbool inSpotLightMap;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\t\\tspotLight = spotLights[ i ];\\n\\t\\tgetSpotLightInfo( spotLight, geometryPosition, directLight );\\n\\t\\t#if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX\\n\\t\\t#elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS\\n\\t\\t#else\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )\\n\\t\\t#endif\\n\\t\\t#if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS )\\n\\t\\t\\tspotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w;\\n\\t\\t\\tinSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) );\\n\\t\\t\\tspotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy );\\n\\t\\t\\tdirectLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color;\\n\\t\\t#endif\\n\\t\\t#undef SPOT_LIGHT_MAP_INDEX\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\tspotLightShadow = spotLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tDirectionalLight directionalLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLights[ i ];\\n\\t\\tgetDirectionalLightInfo( directionalLight, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\n\\t\\tdirectionalLightShadow = directionalLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\n\\tRectAreaLight rectAreaLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\n\\t\\trectAreaLight = rectAreaLights[ i ];\\n\\t\\tRE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if defined( RE_IndirectDiffuse )\\n\\tvec3 iblIrradiance = vec3( 0.0 );\\n\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\n\\t#if defined( USE_LIGHT_PROBES )\\n\\t\\tirradiance += getLightProbeIrradiance( lightProbe, geometryNormal );\\n\\t#endif\\n\\t#if ( NUM_HEMI_LIGHTS > 0 )\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\t\\t\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal );\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tvec3 radiance = vec3( 0.0 );\\n\\tvec3 clearcoatRadiance = vec3( 0.0 );\\n#endif\";\n\nvar lights_fragment_maps = \"#if defined( RE_IndirectDiffuse )\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\t\\tvec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;\\n\\t\\tirradiance += lightMapIrradiance;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tiblIrradiance += getIBLIrradiance( geometryNormal );\\n\\t#endif\\n#endif\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tradiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy );\\n\\t#else\\n\\t\\tradiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness );\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tclearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness );\\n\\t#endif\\n#endif\";\n\nvar lights_fragment_end = \"#if defined( RE_IndirectDiffuse )\\n\\tRE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n#endif\";\n\nvar logdepthbuf_fragment = \"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\n#endif\";\n\nvar logdepthbuf_pars_fragment = \"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tuniform float logDepthBufFC;\\n\\tvarying float vFragDepth;\\n\\tvarying float vIsPerspective;\\n#endif\";\n\nvar logdepthbuf_pars_vertex = \"#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvarying float vFragDepth;\\n\\t\\tvarying float vIsPerspective;\\n\\t#else\\n\\t\\tuniform float logDepthBufFC;\\n\\t#endif\\n#endif\";\n\nvar logdepthbuf_vertex = \"#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvFragDepth = 1.0 + gl_Position.w;\\n\\t\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\n\\t#else\\n\\t\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\n\\t\\t\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\n\\t\\t\\tgl_Position.z *= gl_Position.w;\\n\\t\\t}\\n\\t#endif\\n#endif\";\n\nvar map_fragment = \"#ifdef USE_MAP\\n\\tvec4 sampledDiffuseColor = texture2D( map, vMapUv );\\n\\t#ifdef DECODE_VIDEO_TEXTURE\\n\\t\\tsampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w );\\n\\t\\n\\t#endif\\n\\tdiffuseColor *= sampledDiffuseColor;\\n#endif\";\n\nvar map_pars_fragment = \"#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\";\n\nvar map_particle_fragment = \"#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\t#if defined( USE_POINTS_UV )\\n\\t\\tvec2 uv = vUv;\\n\\t#else\\n\\t\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\n\\t#endif\\n#endif\\n#ifdef USE_MAP\\n\\tdiffuseColor *= texture2D( map, uv );\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\n#endif\";\n\nvar map_particle_pars_fragment = \"#if defined( USE_POINTS_UV )\\n\\tvarying vec2 vUv;\\n#else\\n\\t#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\t\\tuniform mat3 uvTransform;\\n\\t#endif\\n#endif\\n#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif\";\n\nvar metalnessmap_fragment = \"float metalnessFactor = metalness;\\n#ifdef USE_METALNESSMAP\\n\\tvec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv );\\n\\tmetalnessFactor *= texelMetalness.b;\\n#endif\";\n\nvar metalnessmap_pars_fragment = \"#ifdef USE_METALNESSMAP\\n\\tuniform sampler2D metalnessMap;\\n#endif\";\n\nvar morphcolor_vertex = \"#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE )\\n\\tvColor *= morphTargetBaseInfluence;\\n\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t#if defined( USE_COLOR_ALPHA )\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ];\\n\\t\\t#elif defined( USE_COLOR )\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ];\\n\\t\\t#endif\\n\\t}\\n#endif\";\n\nvar morphnormal_vertex = \"#ifdef USE_MORPHNORMALS\\n\\tobjectNormal *= morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ];\\n\\t\\t}\\n\\t#else\\n\\t\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\n\\t\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\n\\t\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\n\\t\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\n\\t#endif\\n#endif\";\n\nvar morphtarget_pars_vertex = \"#ifdef USE_MORPHTARGETS\\n\\tuniform float morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tuniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];\\n\\t\\tuniform sampler2DArray morphTargetsTexture;\\n\\t\\tuniform ivec2 morphTargetsTextureSize;\\n\\t\\tvec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) {\\n\\t\\t\\tint texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset;\\n\\t\\t\\tint y = texelIndex / morphTargetsTextureSize.x;\\n\\t\\t\\tint x = texelIndex - y * morphTargetsTextureSize.x;\\n\\t\\t\\tivec3 morphUV = ivec3( x, y, morphTargetIndex );\\n\\t\\t\\treturn texelFetch( morphTargetsTexture, morphUV, 0 );\\n\\t\\t}\\n\\t#else\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\t\\t\\tuniform float morphTargetInfluences[ 8 ];\\n\\t\\t#else\\n\\t\\t\\tuniform float morphTargetInfluences[ 4 ];\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar morphtarget_vertex = \"#ifdef USE_MORPHTARGETS\\n\\ttransformed *= morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ];\\n\\t\\t}\\n\\t#else\\n\\t\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\n\\t\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\n\\t\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\n\\t\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\t\\t\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\n\\t\\t\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\n\\t\\t\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\n\\t\\t\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar normal_fragment_begin = \"float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;\\n#ifdef FLAT_SHADED\\n\\tvec3 fdx = dFdx( vViewPosition );\\n\\tvec3 fdy = dFdy( vViewPosition );\\n\\tvec3 normal = normalize( cross( fdx, fdy ) );\\n#else\\n\\tvec3 normal = normalize( vNormal );\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal *= faceDirection;\\n\\t#endif\\n#endif\\n#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY )\\n\\t#ifdef USE_TANGENT\\n\\t\\tmat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal );\\n\\t#else\\n\\t\\tmat3 tbn = getTangentFrame( - vViewPosition, normal,\\n\\t\\t#if defined( USE_NORMALMAP )\\n\\t\\t\\tvNormalMapUv\\n\\t\\t#elif defined( USE_CLEARCOAT_NORMALMAP )\\n\\t\\t\\tvClearcoatNormalMapUv\\n\\t\\t#else\\n\\t\\t\\tvUv\\n\\t\\t#endif\\n\\t\\t);\\n\\t#endif\\n\\t#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )\\n\\t\\ttbn[0] *= faceDirection;\\n\\t\\ttbn[1] *= faceDirection;\\n\\t#endif\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\t#ifdef USE_TANGENT\\n\\t\\tmat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal );\\n\\t#else\\n\\t\\tmat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv );\\n\\t#endif\\n\\t#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )\\n\\t\\ttbn2[0] *= faceDirection;\\n\\t\\ttbn2[1] *= faceDirection;\\n\\t#endif\\n#endif\\nvec3 nonPerturbedNormal = normal;\";\n\nvar normal_fragment_maps = \"#ifdef USE_NORMALMAP_OBJECTSPACE\\n\\tnormal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;\\n\\t#ifdef FLIP_SIDED\\n\\t\\tnormal = - normal;\\n\\t#endif\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal = normal * faceDirection;\\n\\t#endif\\n\\tnormal = normalize( normalMatrix * normal );\\n#elif defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;\\n\\tmapN.xy *= normalScale;\\n\\tnormal = normalize( tbn * mapN );\\n#elif defined( USE_BUMPMAP )\\n\\tnormal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );\\n#endif\";\n\nvar normal_pars_fragment = \"#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\";\n\nvar normal_pars_vertex = \"#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\";\n\nvar normal_vertex = \"#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n\\t#ifdef USE_TANGENT\\n\\t\\tvTangent = normalize( transformedTangent );\\n\\t\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\n\\t#endif\\n#endif\";\n\nvar normalmap_pars_fragment = \"#ifdef USE_NORMALMAP\\n\\tuniform sampler2D normalMap;\\n\\tuniform vec2 normalScale;\\n#endif\\n#ifdef USE_NORMALMAP_OBJECTSPACE\\n\\tuniform mat3 normalMatrix;\\n#endif\\n#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) )\\n\\tmat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) {\\n\\t\\tvec3 q0 = dFdx( eye_pos.xyz );\\n\\t\\tvec3 q1 = dFdy( eye_pos.xyz );\\n\\t\\tvec2 st0 = dFdx( uv.st );\\n\\t\\tvec2 st1 = dFdy( uv.st );\\n\\t\\tvec3 N = surf_norm;\\n\\t\\tvec3 q1perp = cross( q1, N );\\n\\t\\tvec3 q0perp = cross( N, q0 );\\n\\t\\tvec3 T = q1perp * st0.x + q0perp * st1.x;\\n\\t\\tvec3 B = q1perp * st0.y + q0perp * st1.y;\\n\\t\\tfloat det = max( dot( T, T ), dot( B, B ) );\\n\\t\\tfloat scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det );\\n\\t\\treturn mat3( T * scale, B * scale, N );\\n\\t}\\n#endif\";\n\nvar clearcoat_normal_fragment_begin = \"#ifdef USE_CLEARCOAT\\n\\tvec3 clearcoatNormal = nonPerturbedNormal;\\n#endif\";\n\nvar clearcoat_normal_fragment_maps = \"#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0;\\n\\tclearcoatMapN.xy *= clearcoatNormalScale;\\n\\tclearcoatNormal = normalize( tbn2 * clearcoatMapN );\\n#endif\";\n\nvar clearcoat_pars_fragment = \"#ifdef USE_CLEARCOATMAP\\n\\tuniform sampler2D clearcoatMap;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform sampler2D clearcoatNormalMap;\\n\\tuniform vec2 clearcoatNormalScale;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform sampler2D clearcoatRoughnessMap;\\n#endif\";\n\nvar iridescence_pars_fragment = \"#ifdef USE_IRIDESCENCEMAP\\n\\tuniform sampler2D iridescenceMap;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tuniform sampler2D iridescenceThicknessMap;\\n#endif\";\n\nvar opaque_fragment = \"#ifdef OPAQUE\\ndiffuseColor.a = 1.0;\\n#endif\\n#ifdef USE_TRANSMISSION\\ndiffuseColor.a *= material.transmissionAlpha;\\n#endif\\ngl_FragColor = vec4( outgoingLight, diffuseColor.a );\";\n\nvar packing = \"vec3 packNormalToRGB( const in vec3 normal ) {\\n\\treturn normalize( normal ) * 0.5 + 0.5;\\n}\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\n\\treturn 2.0 * rgb.xyz - 1.0;\\n}\\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\nconst float ShiftRight8 = 1. / 256.;\\nvec4 packDepthToRGBA( const in float v ) {\\n\\tvec4 r = vec4( fract( v * PackFactors ), v );\\n\\tr.yzw -= r.xyz * ShiftRight8;\\treturn r * PackUpscale;\\n}\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\n\\treturn dot( v, UnpackFactors );\\n}\\nvec2 packDepthToRG( in highp float v ) {\\n\\treturn packDepthToRGBA( v ).yx;\\n}\\nfloat unpackRGToDepth( const in highp vec2 v ) {\\n\\treturn unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) );\\n}\\nvec4 pack2HalfToRGBA( vec2 v ) {\\n\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );\\n\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );\\n}\\nvec2 unpackRGBATo2Half( vec4 v ) {\\n\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\n}\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( viewZ + near ) / ( near - far );\\n}\\nfloat orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) {\\n\\treturn depth * ( near - far ) - near;\\n}\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );\\n}\\nfloat perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) {\\n\\treturn ( near * far ) / ( ( far - near ) * depth - far );\\n}\";\n\nvar premultiplied_alpha_fragment = \"#ifdef PREMULTIPLIED_ALPHA\\n\\tgl_FragColor.rgb *= gl_FragColor.a;\\n#endif\";\n\nvar project_vertex = \"vec4 mvPosition = vec4( transformed, 1.0 );\\n#ifdef USE_BATCHING\\n\\tmvPosition = batchingMatrix * mvPosition;\\n#endif\\n#ifdef USE_INSTANCING\\n\\tmvPosition = instanceMatrix * mvPosition;\\n#endif\\nmvPosition = modelViewMatrix * mvPosition;\\ngl_Position = projectionMatrix * mvPosition;\";\n\nvar dithering_fragment = \"#ifdef DITHERING\\n\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\n#endif\";\n\nvar dithering_pars_fragment = \"#ifdef DITHERING\\n\\tvec3 dithering( vec3 color ) {\\n\\t\\tfloat grid_position = rand( gl_FragCoord.xy );\\n\\t\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\n\\t\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\n\\t\\treturn color + dither_shift_RGB;\\n\\t}\\n#endif\";\n\nvar roughnessmap_fragment = \"float roughnessFactor = roughness;\\n#ifdef USE_ROUGHNESSMAP\\n\\tvec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv );\\n\\troughnessFactor *= texelRoughness.g;\\n#endif\";\n\nvar roughnessmap_pars_fragment = \"#ifdef USE_ROUGHNESSMAP\\n\\tuniform sampler2D roughnessMap;\\n#endif\";\n\nvar shadowmap_pars_fragment = \"#if NUM_SPOT_LIGHT_COORDS > 0\\n\\tvarying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];\\n#endif\\n#if NUM_SPOT_LIGHT_MAPS > 0\\n\\tuniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ];\\n#endif\\n#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\n\\t\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\n\\t}\\n\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\n\\t\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\n\\t}\\n\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\n\\t\\tfloat occlusion = 1.0;\\n\\t\\tvec2 distribution = texture2DDistribution( shadow, uv );\\n\\t\\tfloat hard_shadow = step( compare , distribution.x );\\n\\t\\tif (hard_shadow != 1.0 ) {\\n\\t\\t\\tfloat distance = compare - distribution.x ;\\n\\t\\t\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\n\\t\\t\\tfloat softness_probability = variance / (variance + distance * distance );\\t\\t\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );\\t\\t\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\n\\t\\t}\\n\\t\\treturn occlusion;\\n\\t}\\n\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\n\\t\\tfloat shadow = 1.0;\\n\\t\\tshadowCoord.xyz /= shadowCoord.w;\\n\\t\\tshadowCoord.z += shadowBias;\\n\\t\\tbool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0;\\n\\t\\tbool frustumTest = inFrustum && shadowCoord.z <= 1.0;\\n\\t\\tif ( frustumTest ) {\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx0 = - texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy0 = - texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx1 = + texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy1 = + texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx2 = dx0 / 2.0;\\n\\t\\t\\tfloat dy2 = dy0 / 2.0;\\n\\t\\t\\tfloat dx3 = dx1 / 2.0;\\n\\t\\t\\tfloat dy3 = dy1 / 2.0;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\n\\t\\t\\t) * ( 1.0 / 17.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx = texelSize.x;\\n\\t\\t\\tfloat dy = texelSize.y;\\n\\t\\t\\tvec2 uv = shadowCoord.xy;\\n\\t\\t\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\n\\t\\t\\tuv -= f * texelSize;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t f.y )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#else\\n\\t\\t\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#endif\\n\\t\\t}\\n\\t\\treturn shadow;\\n\\t}\\n\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\n\\t\\tvec3 absV = abs( v );\\n\\t\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\n\\t\\tabsV *= scaleToCube;\\n\\t\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\n\\t\\tvec2 planar = v.xy;\\n\\t\\tfloat almostATexel = 1.5 * texelSizeY;\\n\\t\\tfloat almostOne = 1.0 - almostATexel;\\n\\t\\tif ( absV.z >= almostOne ) {\\n\\t\\t\\tif ( v.z > 0.0 )\\n\\t\\t\\t\\tplanar.x = 4.0 - v.x;\\n\\t\\t} else if ( absV.x >= almostOne ) {\\n\\t\\t\\tfloat signX = sign( v.x );\\n\\t\\t\\tplanar.x = v.z * signX + 2.0 * signX;\\n\\t\\t} else if ( absV.y >= almostOne ) {\\n\\t\\t\\tfloat signY = sign( v.y );\\n\\t\\t\\tplanar.x = v.x + 2.0 * signY + 2.0;\\n\\t\\t\\tplanar.y = v.z * signY - 2.0;\\n\\t\\t}\\n\\t\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\n\\t}\\n\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\n\\t\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\n\\t\\tvec3 lightToPosition = shadowCoord.xyz;\\n\\t\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\\t\\tdp += shadowBias;\\n\\t\\tvec3 bd3D = normalize( lightToPosition );\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\n\\t\\t\\treturn (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#else\\n\\t\\t\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\n\\t\\t#endif\\n\\t}\\n#endif\";\n\nvar shadowmap_pars_vertex = \"#if NUM_SPOT_LIGHT_COORDS > 0\\n\\tuniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ];\\n\\tvarying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];\\n#endif\\n#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n#endif\";\n\nvar shadowmap_vertex = \"#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 )\\n\\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\tvec4 shadowWorldPosition;\\n#endif\\n#if defined( USE_SHADOWMAP )\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\t\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\t\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if NUM_SPOT_LIGHT_COORDS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) {\\n\\t\\tshadowWorldPosition = worldPosition;\\n\\t\\t#if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\t\\tshadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias;\\n\\t\\t#endif\\n\\t\\tvSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition;\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\";\n\nvar shadowmask_pars_fragment = \"float getShadowMask() {\\n\\tfloat shadow = 1.0;\\n\\t#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tspotLight = spotLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tpointLight = pointLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#endif\\n\\treturn shadow;\\n}\";\n\nvar skinbase_vertex = \"#ifdef USE_SKINNING\\n\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\n\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\n\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\n\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\n#endif\";\n\nvar skinning_pars_vertex = \"#ifdef USE_SKINNING\\n\\tuniform mat4 bindMatrix;\\n\\tuniform mat4 bindMatrixInverse;\\n\\tuniform highp sampler2D boneTexture;\\n\\tmat4 getBoneMatrix( const in float i ) {\\n\\t\\tint size = textureSize( boneTexture, 0 ).x;\\n\\t\\tint j = int( i ) * 4;\\n\\t\\tint x = j % size;\\n\\t\\tint y = j / size;\\n\\t\\tvec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 );\\n\\t\\tvec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 );\\n\\t\\tvec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 );\\n\\t\\tvec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 );\\n\\t\\treturn mat4( v1, v2, v3, v4 );\\n\\t}\\n#endif\";\n\nvar skinning_vertex = \"#ifdef USE_SKINNING\\n\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\n\\tvec4 skinned = vec4( 0.0 );\\n\\tskinned += boneMatX * skinVertex * skinWeight.x;\\n\\tskinned += boneMatY * skinVertex * skinWeight.y;\\n\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\n\\tskinned += boneMatW * skinVertex * skinWeight.w;\\n\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\n#endif\";\n\nvar skinnormal_vertex = \"#ifdef USE_SKINNING\\n\\tmat4 skinMatrix = mat4( 0.0 );\\n\\tskinMatrix += skinWeight.x * boneMatX;\\n\\tskinMatrix += skinWeight.y * boneMatY;\\n\\tskinMatrix += skinWeight.z * boneMatZ;\\n\\tskinMatrix += skinWeight.w * boneMatW;\\n\\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\\n\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\n\\t#ifdef USE_TANGENT\\n\\t\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\t#endif\\n#endif\";\n\nvar specularmap_fragment = \"float specularStrength;\\n#ifdef USE_SPECULARMAP\\n\\tvec4 texelSpecular = texture2D( specularMap, vSpecularMapUv );\\n\\tspecularStrength = texelSpecular.r;\\n#else\\n\\tspecularStrength = 1.0;\\n#endif\";\n\nvar specularmap_pars_fragment = \"#ifdef USE_SPECULARMAP\\n\\tuniform sampler2D specularMap;\\n#endif\";\n\nvar tonemapping_fragment = \"#if defined( TONE_MAPPING )\\n\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\n#endif\";\n\nvar tonemapping_pars_fragment = \"#ifndef saturate\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\nuniform float toneMappingExposure;\\nvec3 LinearToneMapping( vec3 color ) {\\n\\treturn saturate( toneMappingExposure * color );\\n}\\nvec3 ReinhardToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\n}\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\n\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\n}\\nvec3 RRTAndODTFit( vec3 v ) {\\n\\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\\n\\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\\n\\treturn a / b;\\n}\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\n\\tconst mat3 ACESInputMat = mat3(\\n\\t\\tvec3( 0.59719, 0.07600, 0.02840 ),\\t\\tvec3( 0.35458, 0.90834, 0.13383 ),\\n\\t\\tvec3( 0.04823, 0.01566, 0.83777 )\\n\\t);\\n\\tconst mat3 ACESOutputMat = mat3(\\n\\t\\tvec3( 1.60475, -0.10208, -0.00327 ),\\t\\tvec3( -0.53108, 1.10813, -0.07276 ),\\n\\t\\tvec3( -0.07367, -0.00605, 1.07602 )\\n\\t);\\n\\tcolor *= toneMappingExposure / 0.6;\\n\\tcolor = ACESInputMat * color;\\n\\tcolor = RRTAndODTFit( color );\\n\\tcolor = ACESOutputMat * color;\\n\\treturn saturate( color );\\n}\\nconst mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3(\\n\\tvec3( 1.6605, - 0.1246, - 0.0182 ),\\n\\tvec3( - 0.5876, 1.1329, - 0.1006 ),\\n\\tvec3( - 0.0728, - 0.0083, 1.1187 )\\n);\\nconst mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3(\\n\\tvec3( 0.6274, 0.0691, 0.0164 ),\\n\\tvec3( 0.3293, 0.9195, 0.0880 ),\\n\\tvec3( 0.0433, 0.0113, 0.8956 )\\n);\\nvec3 agxDefaultContrastApprox( vec3 x ) {\\n\\tvec3 x2 = x * x;\\n\\tvec3 x4 = x2 * x2;\\n\\treturn + 15.5 * x4 * x2\\n\\t\\t- 40.14 * x4 * x\\n\\t\\t+ 31.96 * x4\\n\\t\\t- 6.868 * x2 * x\\n\\t\\t+ 0.4298 * x2\\n\\t\\t+ 0.1191 * x\\n\\t\\t- 0.00232;\\n}\\nvec3 AgXToneMapping( vec3 color ) {\\n\\tconst mat3 AgXInsetMatrix = mat3(\\n\\t\\tvec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ),\\n\\t\\tvec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ),\\n\\t\\tvec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 )\\n\\t);\\n\\tconst mat3 AgXOutsetMatrix = mat3(\\n\\t\\tvec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ),\\n\\t\\tvec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ),\\n\\t\\tvec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 )\\n\\t);\\n\\tconst float AgxMinEv = - 12.47393;\\tconst float AgxMaxEv = 4.026069;\\n\\tcolor = LINEAR_SRGB_TO_LINEAR_REC2020 * color;\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = AgXInsetMatrix * color;\\n\\tcolor = max( color, 1e-10 );\\tcolor = log2( color );\\n\\tcolor = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv );\\n\\tcolor = clamp( color, 0.0, 1.0 );\\n\\tcolor = agxDefaultContrastApprox( color );\\n\\tcolor = AgXOutsetMatrix * color;\\n\\tcolor = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) );\\n\\tcolor = LINEAR_REC2020_TO_LINEAR_SRGB * color;\\n\\treturn color;\\n}\\nvec3 CustomToneMapping( vec3 color ) { return color; }\";\n\nvar transmission_fragment = \"#ifdef USE_TRANSMISSION\\n\\tmaterial.transmission = transmission;\\n\\tmaterial.transmissionAlpha = 1.0;\\n\\tmaterial.thickness = thickness;\\n\\tmaterial.attenuationDistance = attenuationDistance;\\n\\tmaterial.attenuationColor = attenuationColor;\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\t\\tmaterial.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;\\n\\t#endif\\n\\t#ifdef USE_THICKNESSMAP\\n\\t\\tmaterial.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;\\n\\t#endif\\n\\tvec3 pos = vWorldPosition;\\n\\tvec3 v = normalize( cameraPosition - pos );\\n\\tvec3 n = inverseTransformDirection( normal, viewMatrix );\\n\\tvec4 transmitted = getIBLVolumeRefraction(\\n\\t\\tn, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\\n\\t\\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,\\n\\t\\tmaterial.attenuationColor, material.attenuationDistance );\\n\\tmaterial.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );\\n\\ttotalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission );\\n#endif\";\n\nvar transmission_pars_fragment = \"#ifdef USE_TRANSMISSION\\n\\tuniform float transmission;\\n\\tuniform float thickness;\\n\\tuniform float attenuationDistance;\\n\\tuniform vec3 attenuationColor;\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\t\\tuniform sampler2D transmissionMap;\\n\\t#endif\\n\\t#ifdef USE_THICKNESSMAP\\n\\t\\tuniform sampler2D thicknessMap;\\n\\t#endif\\n\\tuniform vec2 transmissionSamplerSize;\\n\\tuniform sampler2D transmissionSamplerMap;\\n\\tuniform mat4 modelMatrix;\\n\\tuniform mat4 projectionMatrix;\\n\\tvarying vec3 vWorldPosition;\\n\\tfloat w0( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );\\n\\t}\\n\\tfloat w1( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 );\\n\\t}\\n\\tfloat w2( float a ){\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );\\n\\t}\\n\\tfloat w3( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * a * a );\\n\\t}\\n\\tfloat g0( float a ) {\\n\\t\\treturn w0( a ) + w1( a );\\n\\t}\\n\\tfloat g1( float a ) {\\n\\t\\treturn w2( a ) + w3( a );\\n\\t}\\n\\tfloat h0( float a ) {\\n\\t\\treturn - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );\\n\\t}\\n\\tfloat h1( float a ) {\\n\\t\\treturn 1.0 + w3( a ) / ( w2( a ) + w3( a ) );\\n\\t}\\n\\tvec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {\\n\\t\\tuv = uv * texelSize.zw + 0.5;\\n\\t\\tvec2 iuv = floor( uv );\\n\\t\\tvec2 fuv = fract( uv );\\n\\t\\tfloat g0x = g0( fuv.x );\\n\\t\\tfloat g1x = g1( fuv.x );\\n\\t\\tfloat h0x = h0( fuv.x );\\n\\t\\tfloat h1x = h1( fuv.x );\\n\\t\\tfloat h0y = h0( fuv.y );\\n\\t\\tfloat h1y = h1( fuv.y );\\n\\t\\tvec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\\n\\t\\treturn g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +\\n\\t\\t\\tg1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );\\n\\t}\\n\\tvec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {\\n\\t\\tvec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );\\n\\t\\tvec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );\\n\\t\\tvec2 fLodSizeInv = 1.0 / fLodSize;\\n\\t\\tvec2 cLodSizeInv = 1.0 / cLodSize;\\n\\t\\tvec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );\\n\\t\\tvec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );\\n\\t\\treturn mix( fSample, cSample, fract( lod ) );\\n\\t}\\n\\tvec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {\\n\\t\\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\\n\\t\\tvec3 modelScale;\\n\\t\\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\\n\\t\\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\\n\\t\\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\\n\\t\\treturn normalize( refractionVector ) * thickness * modelScale;\\n\\t}\\n\\tfloat applyIorToRoughness( const in float roughness, const in float ior ) {\\n\\t\\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\\n\\t}\\n\\tvec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {\\n\\t\\tfloat lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\\n\\t\\treturn textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );\\n\\t}\\n\\tvec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {\\n\\t\\tif ( isinf( attenuationDistance ) ) {\\n\\t\\t\\treturn vec3( 1.0 );\\n\\t\\t} else {\\n\\t\\t\\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\\n\\t\\t\\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );\\t\\t\\treturn transmittance;\\n\\t\\t}\\n\\t}\\n\\tvec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,\\n\\t\\tconst in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,\\n\\t\\tconst in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,\\n\\t\\tconst in vec3 attenuationColor, const in float attenuationDistance ) {\\n\\t\\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\\n\\t\\tvec3 refractedRayExit = position + transmissionRay;\\n\\t\\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\\n\\t\\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\\n\\t\\trefractionCoords += 1.0;\\n\\t\\trefractionCoords /= 2.0;\\n\\t\\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\\n\\t\\tvec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );\\n\\t\\tvec3 attenuatedColor = transmittance * transmittedLight.rgb;\\n\\t\\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\\n\\t\\tfloat transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;\\n\\t\\treturn vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );\\n\\t}\\n#endif\";\n\nvar uv_pars_fragment = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvarying vec2 vUv;\\n#endif\\n#ifdef USE_MAP\\n\\tvarying vec2 vMapUv;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tvarying vec2 vAlphaMapUv;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tvarying vec2 vLightMapUv;\\n#endif\\n#ifdef USE_AOMAP\\n\\tvarying vec2 vAoMapUv;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tvarying vec2 vBumpMapUv;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tvarying vec2 vNormalMapUv;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tvarying vec2 vEmissiveMapUv;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tvarying vec2 vMetalnessMapUv;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tvarying vec2 vRoughnessMapUv;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tvarying vec2 vAnisotropyMapUv;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tvarying vec2 vClearcoatMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvarying vec2 vClearcoatNormalMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tvarying vec2 vClearcoatRoughnessMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tvarying vec2 vIridescenceMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tvarying vec2 vIridescenceThicknessMapUv;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tvarying vec2 vSheenColorMapUv;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tvarying vec2 vSheenRoughnessMapUv;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tvarying vec2 vSpecularMapUv;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tvarying vec2 vSpecularColorMapUv;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tvarying vec2 vSpecularIntensityMapUv;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tuniform mat3 transmissionMapTransform;\\n\\tvarying vec2 vTransmissionMapUv;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tuniform mat3 thicknessMapTransform;\\n\\tvarying vec2 vThicknessMapUv;\\n#endif\";\n\nvar uv_pars_vertex = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvarying vec2 vUv;\\n#endif\\n#ifdef USE_MAP\\n\\tuniform mat3 mapTransform;\\n\\tvarying vec2 vMapUv;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform mat3 alphaMapTransform;\\n\\tvarying vec2 vAlphaMapUv;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tuniform mat3 lightMapTransform;\\n\\tvarying vec2 vLightMapUv;\\n#endif\\n#ifdef USE_AOMAP\\n\\tuniform mat3 aoMapTransform;\\n\\tvarying vec2 vAoMapUv;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tuniform mat3 bumpMapTransform;\\n\\tvarying vec2 vBumpMapUv;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tuniform mat3 normalMapTransform;\\n\\tvarying vec2 vNormalMapUv;\\n#endif\\n#ifdef USE_DISPLACEMENTMAP\\n\\tuniform mat3 displacementMapTransform;\\n\\tvarying vec2 vDisplacementMapUv;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tuniform mat3 emissiveMapTransform;\\n\\tvarying vec2 vEmissiveMapUv;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tuniform mat3 metalnessMapTransform;\\n\\tvarying vec2 vMetalnessMapUv;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tuniform mat3 roughnessMapTransform;\\n\\tvarying vec2 vRoughnessMapUv;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tuniform mat3 anisotropyMapTransform;\\n\\tvarying vec2 vAnisotropyMapUv;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tuniform mat3 clearcoatMapTransform;\\n\\tvarying vec2 vClearcoatMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform mat3 clearcoatNormalMapTransform;\\n\\tvarying vec2 vClearcoatNormalMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform mat3 clearcoatRoughnessMapTransform;\\n\\tvarying vec2 vClearcoatRoughnessMapUv;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tuniform mat3 sheenColorMapTransform;\\n\\tvarying vec2 vSheenColorMapUv;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tuniform mat3 sheenRoughnessMapTransform;\\n\\tvarying vec2 vSheenRoughnessMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tuniform mat3 iridescenceMapTransform;\\n\\tvarying vec2 vIridescenceMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tuniform mat3 iridescenceThicknessMapTransform;\\n\\tvarying vec2 vIridescenceThicknessMapUv;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tuniform mat3 specularMapTransform;\\n\\tvarying vec2 vSpecularMapUv;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tuniform mat3 specularColorMapTransform;\\n\\tvarying vec2 vSpecularColorMapUv;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tuniform mat3 specularIntensityMapTransform;\\n\\tvarying vec2 vSpecularIntensityMapUv;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tuniform mat3 transmissionMapTransform;\\n\\tvarying vec2 vTransmissionMapUv;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tuniform mat3 thicknessMapTransform;\\n\\tvarying vec2 vThicknessMapUv;\\n#endif\";\n\nvar uv_vertex = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvUv = vec3( uv, 1 ).xy;\\n#endif\\n#ifdef USE_MAP\\n\\tvMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tvAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tvLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_AOMAP\\n\\tvAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tvBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tvNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_DISPLACEMENTMAP\\n\\tvDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tvEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tvMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tvRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tvAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tvClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tvClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tvIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tvIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tvSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tvSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tvSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tvSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tvSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tvTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tvThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy;\\n#endif\";\n\nvar worldpos_vertex = \"#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0\\n\\tvec4 worldPosition = vec4( transformed, 1.0 );\\n\\t#ifdef USE_BATCHING\\n\\t\\tworldPosition = batchingMatrix * worldPosition;\\n\\t#endif\\n\\t#ifdef USE_INSTANCING\\n\\t\\tworldPosition = instanceMatrix * worldPosition;\\n\\t#endif\\n\\tworldPosition = modelMatrix * worldPosition;\\n#endif\";\n\nconst vertex$h = \"varying vec2 vUv;\\nuniform mat3 uvTransform;\\nvoid main() {\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\n}\";\n\nconst fragment$h = \"uniform sampler2D t2D;\\nuniform float backgroundIntensity;\\nvarying vec2 vUv;\\nvoid main() {\\n\\tvec4 texColor = texture2D( t2D, vUv );\\n\\t#ifdef DECODE_VIDEO_TEXTURE\\n\\t\\ttexColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w );\\n\\t#endif\\n\\ttexColor.rgb *= backgroundIntensity;\\n\\tgl_FragColor = texColor;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$g = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n\\tgl_Position.z = gl_Position.w;\\n}\";\n\nconst fragment$g = \"#ifdef ENVMAP_TYPE_CUBE\\n\\tuniform samplerCube envMap;\\n#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\tuniform sampler2D envMap;\\n#endif\\nuniform float flipEnvMap;\\nuniform float backgroundBlurriness;\\nuniform float backgroundIntensity;\\nvarying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) );\\n\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tvec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness );\\n\\t#else\\n\\t\\tvec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\t#endif\\n\\ttexColor.rgb *= backgroundIntensity;\\n\\tgl_FragColor = texColor;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$f = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n\\tgl_Position.z = gl_Position.w;\\n}\";\n\nconst fragment$f = \"uniform samplerCube tCube;\\nuniform float tFlip;\\nuniform float opacity;\\nvarying vec3 vWorldDirection;\\nvoid main() {\\n\\tvec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );\\n\\tgl_FragColor = texColor;\\n\\tgl_FragColor.a *= opacity;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$e = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvHighPrecisionZW = gl_Position.zw;\\n}\";\n\nconst fragment$e = \"#if DEPTH_PACKING == 3200\\n\\tuniform float opacity;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tdiffuseColor.a = opacity;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\n\\t#elif DEPTH_PACKING == 3201\\n\\t\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\n\\t#endif\\n}\";\n\nconst vertex$d = \"#define DISTANCE\\nvarying vec3 vWorldPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvWorldPosition = worldPosition.xyz;\\n}\";\n\nconst fragment$d = \"#define DISTANCE\\nuniform vec3 referencePosition;\\nuniform float nearDistance;\\nuniform float farDistance;\\nvarying vec3 vWorldPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main () {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tfloat dist = length( vWorldPosition - referencePosition );\\n\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\n\\tdist = saturate( dist );\\n\\tgl_FragColor = packDepthToRGBA( dist );\\n}\";\n\nconst vertex$c = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$c = \"uniform sampler2D tEquirect;\\nvarying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvec3 direction = normalize( vWorldDirection );\\n\\tvec2 sampleUV = equirectUv( direction );\\n\\tgl_FragColor = texture2D( tEquirect, sampleUV );\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$b = \"uniform float scale;\\nattribute float lineDistance;\\nvarying float vLineDistance;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\tvLineDistance = scale * lineDistance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$b = \"uniform vec3 diffuse;\\nuniform float opacity;\\nuniform float dashSize;\\nuniform float totalSize;\\nvarying float vLineDistance;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\n\\t\\tdiscard;\\n\\t}\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$a = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$a = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\t\\treflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI;\\n\\t#else\\n\\t\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\n\\t#endif\\n\\t#include \\n\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\n\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$9 = \"#define LAMBERT\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$9 = \"#define LAMBERT\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$8 = \"#define MATCAP\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n}\";\n\nconst fragment$8 = \"#define MATCAP\\nuniform vec3 diffuse;\\nuniform float opacity;\\nuniform sampler2D matcap;\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 viewDir = normalize( vViewPosition );\\n\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\n\\tvec3 y = cross( viewDir, x );\\n\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;\\n\\t#ifdef USE_MATCAP\\n\\t\\tvec4 matcapColor = texture2D( matcap, uv );\\n\\t#else\\n\\t\\tvec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 );\\n\\t#endif\\n\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$7 = \"#define NORMAL\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvViewPosition = - mvPosition.xyz;\\n#endif\\n}\";\n\nconst fragment$7 = \"#define NORMAL\\nuniform float opacity;\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\n\\t#ifdef OPAQUE\\n\\t\\tgl_FragColor.a = 1.0;\\n\\t#endif\\n}\";\n\nconst vertex$6 = \"#define PHONG\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$6 = \"#define PHONG\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform vec3 specular;\\nuniform float shininess;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$5 = \"#define STANDARD\\nvarying vec3 vViewPosition;\\n#ifdef USE_TRANSMISSION\\n\\tvarying vec3 vWorldPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n#ifdef USE_TRANSMISSION\\n\\tvWorldPosition = worldPosition.xyz;\\n#endif\\n}\";\n\nconst fragment$5 = \"#define STANDARD\\n#ifdef PHYSICAL\\n\\t#define IOR\\n\\t#define USE_SPECULAR\\n#endif\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float roughness;\\nuniform float metalness;\\nuniform float opacity;\\n#ifdef IOR\\n\\tuniform float ior;\\n#endif\\n#ifdef USE_SPECULAR\\n\\tuniform float specularIntensity;\\n\\tuniform vec3 specularColor;\\n\\t#ifdef USE_SPECULAR_COLORMAP\\n\\t\\tuniform sampler2D specularColorMap;\\n\\t#endif\\n\\t#ifdef USE_SPECULAR_INTENSITYMAP\\n\\t\\tuniform sampler2D specularIntensityMap;\\n\\t#endif\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tuniform float clearcoat;\\n\\tuniform float clearcoatRoughness;\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tuniform float iridescence;\\n\\tuniform float iridescenceIOR;\\n\\tuniform float iridescenceThicknessMinimum;\\n\\tuniform float iridescenceThicknessMaximum;\\n#endif\\n#ifdef USE_SHEEN\\n\\tuniform vec3 sheenColor;\\n\\tuniform float sheenRoughness;\\n\\t#ifdef USE_SHEEN_COLORMAP\\n\\t\\tuniform sampler2D sheenColorMap;\\n\\t#endif\\n\\t#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\t\\tuniform sampler2D sheenRoughnessMap;\\n\\t#endif\\n#endif\\n#ifdef USE_ANISOTROPY\\n\\tuniform vec2 anisotropyVector;\\n\\t#ifdef USE_ANISOTROPYMAP\\n\\t\\tuniform sampler2D anisotropyMap;\\n\\t#endif\\n#endif\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;\\n\\tvec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;\\n\\t#include \\n\\tvec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;\\n\\t#ifdef USE_SHEEN\\n\\t\\tfloat sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor );\\n\\t\\toutgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) );\\n\\t\\tvec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );\\n\\t\\toutgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$4 = \"#define TOON\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$4 = \"#define TOON\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$3 = \"uniform float size;\\nuniform float scale;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#ifdef USE_POINTS_UV\\n\\tvarying vec2 vUv;\\n\\tuniform mat3 uvTransform;\\n#endif\\nvoid main() {\\n\\t#ifdef USE_POINTS_UV\\n\\t\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tgl_PointSize = size;\\n\\t#ifdef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$3 = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$2 = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$2 = \"uniform vec3 color;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$1 = \"uniform float rotation;\\nuniform vec2 center;\\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\tvec2 scale;\\n\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\n\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\n\\t#ifndef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) scale *= - mvPosition.z;\\n\\t#endif\\n\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\n\\tvec2 rotatedPosition;\\n\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\n\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\n\\tmvPosition.xy += rotatedPosition;\\n\\tgl_Position = projectionMatrix * mvPosition;\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$1 = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst ShaderChunk = {\n\talphahash_fragment: alphahash_fragment,\n\talphahash_pars_fragment: alphahash_pars_fragment,\n\talphamap_fragment: alphamap_fragment,\n\talphamap_pars_fragment: alphamap_pars_fragment,\n\talphatest_fragment: alphatest_fragment,\n\talphatest_pars_fragment: alphatest_pars_fragment,\n\taomap_fragment: aomap_fragment,\n\taomap_pars_fragment: aomap_pars_fragment,\n\tbatching_pars_vertex: batching_pars_vertex,\n\tbatching_vertex: batching_vertex,\n\tbegin_vertex: begin_vertex,\n\tbeginnormal_vertex: beginnormal_vertex,\n\tbsdfs: bsdfs,\n\tiridescence_fragment: iridescence_fragment,\n\tbumpmap_pars_fragment: bumpmap_pars_fragment,\n\tclipping_planes_fragment: clipping_planes_fragment,\n\tclipping_planes_pars_fragment: clipping_planes_pars_fragment,\n\tclipping_planes_pars_vertex: clipping_planes_pars_vertex,\n\tclipping_planes_vertex: clipping_planes_vertex,\n\tcolor_fragment: color_fragment,\n\tcolor_pars_fragment: color_pars_fragment,\n\tcolor_pars_vertex: color_pars_vertex,\n\tcolor_vertex: color_vertex,\n\tcommon: common,\n\tcube_uv_reflection_fragment: cube_uv_reflection_fragment,\n\tdefaultnormal_vertex: defaultnormal_vertex,\n\tdisplacementmap_pars_vertex: displacementmap_pars_vertex,\n\tdisplacementmap_vertex: displacementmap_vertex,\n\temissivemap_fragment: emissivemap_fragment,\n\temissivemap_pars_fragment: emissivemap_pars_fragment,\n\tcolorspace_fragment: colorspace_fragment,\n\tcolorspace_pars_fragment: colorspace_pars_fragment,\n\tenvmap_fragment: envmap_fragment,\n\tenvmap_common_pars_fragment: envmap_common_pars_fragment,\n\tenvmap_pars_fragment: envmap_pars_fragment,\n\tenvmap_pars_vertex: envmap_pars_vertex,\n\tenvmap_physical_pars_fragment: envmap_physical_pars_fragment,\n\tenvmap_vertex: envmap_vertex,\n\tfog_vertex: fog_vertex,\n\tfog_pars_vertex: fog_pars_vertex,\n\tfog_fragment: fog_fragment,\n\tfog_pars_fragment: fog_pars_fragment,\n\tgradientmap_pars_fragment: gradientmap_pars_fragment,\n\tlightmap_fragment: lightmap_fragment,\n\tlightmap_pars_fragment: lightmap_pars_fragment,\n\tlights_lambert_fragment: lights_lambert_fragment,\n\tlights_lambert_pars_fragment: lights_lambert_pars_fragment,\n\tlights_pars_begin: lights_pars_begin,\n\tlights_toon_fragment: lights_toon_fragment,\n\tlights_toon_pars_fragment: lights_toon_pars_fragment,\n\tlights_phong_fragment: lights_phong_fragment,\n\tlights_phong_pars_fragment: lights_phong_pars_fragment,\n\tlights_physical_fragment: lights_physical_fragment,\n\tlights_physical_pars_fragment: lights_physical_pars_fragment,\n\tlights_fragment_begin: lights_fragment_begin,\n\tlights_fragment_maps: lights_fragment_maps,\n\tlights_fragment_end: lights_fragment_end,\n\tlogdepthbuf_fragment: logdepthbuf_fragment,\n\tlogdepthbuf_pars_fragment: logdepthbuf_pars_fragment,\n\tlogdepthbuf_pars_vertex: logdepthbuf_pars_vertex,\n\tlogdepthbuf_vertex: logdepthbuf_vertex,\n\tmap_fragment: map_fragment,\n\tmap_pars_fragment: map_pars_fragment,\n\tmap_particle_fragment: map_particle_fragment,\n\tmap_particle_pars_fragment: map_particle_pars_fragment,\n\tmetalnessmap_fragment: metalnessmap_fragment,\n\tmetalnessmap_pars_fragment: metalnessmap_pars_fragment,\n\tmorphcolor_vertex: morphcolor_vertex,\n\tmorphnormal_vertex: morphnormal_vertex,\n\tmorphtarget_pars_vertex: morphtarget_pars_vertex,\n\tmorphtarget_vertex: morphtarget_vertex,\n\tnormal_fragment_begin: normal_fragment_begin,\n\tnormal_fragment_maps: normal_fragment_maps,\n\tnormal_pars_fragment: normal_pars_fragment,\n\tnormal_pars_vertex: normal_pars_vertex,\n\tnormal_vertex: normal_vertex,\n\tnormalmap_pars_fragment: normalmap_pars_fragment,\n\tclearcoat_normal_fragment_begin: clearcoat_normal_fragment_begin,\n\tclearcoat_normal_fragment_maps: clearcoat_normal_fragment_maps,\n\tclearcoat_pars_fragment: clearcoat_pars_fragment,\n\tiridescence_pars_fragment: iridescence_pars_fragment,\n\topaque_fragment: opaque_fragment,\n\tpacking: packing,\n\tpremultiplied_alpha_fragment: premultiplied_alpha_fragment,\n\tproject_vertex: project_vertex,\n\tdithering_fragment: dithering_fragment,\n\tdithering_pars_fragment: dithering_pars_fragment,\n\troughnessmap_fragment: roughnessmap_fragment,\n\troughnessmap_pars_fragment: roughnessmap_pars_fragment,\n\tshadowmap_pars_fragment: shadowmap_pars_fragment,\n\tshadowmap_pars_vertex: shadowmap_pars_vertex,\n\tshadowmap_vertex: shadowmap_vertex,\n\tshadowmask_pars_fragment: shadowmask_pars_fragment,\n\tskinbase_vertex: skinbase_vertex,\n\tskinning_pars_vertex: skinning_pars_vertex,\n\tskinning_vertex: skinning_vertex,\n\tskinnormal_vertex: skinnormal_vertex,\n\tspecularmap_fragment: specularmap_fragment,\n\tspecularmap_pars_fragment: specularmap_pars_fragment,\n\ttonemapping_fragment: tonemapping_fragment,\n\ttonemapping_pars_fragment: tonemapping_pars_fragment,\n\ttransmission_fragment: transmission_fragment,\n\ttransmission_pars_fragment: transmission_pars_fragment,\n\tuv_pars_fragment: uv_pars_fragment,\n\tuv_pars_vertex: uv_pars_vertex,\n\tuv_vertex: uv_vertex,\n\tworldpos_vertex: worldpos_vertex,\n\n\tbackground_vert: vertex$h,\n\tbackground_frag: fragment$h,\n\tbackgroundCube_vert: vertex$g,\n\tbackgroundCube_frag: fragment$g,\n\tcube_vert: vertex$f,\n\tcube_frag: fragment$f,\n\tdepth_vert: vertex$e,\n\tdepth_frag: fragment$e,\n\tdistanceRGBA_vert: vertex$d,\n\tdistanceRGBA_frag: fragment$d,\n\tequirect_vert: vertex$c,\n\tequirect_frag: fragment$c,\n\tlinedashed_vert: vertex$b,\n\tlinedashed_frag: fragment$b,\n\tmeshbasic_vert: vertex$a,\n\tmeshbasic_frag: fragment$a,\n\tmeshlambert_vert: vertex$9,\n\tmeshlambert_frag: fragment$9,\n\tmeshmatcap_vert: vertex$8,\n\tmeshmatcap_frag: fragment$8,\n\tmeshnormal_vert: vertex$7,\n\tmeshnormal_frag: fragment$7,\n\tmeshphong_vert: vertex$6,\n\tmeshphong_frag: fragment$6,\n\tmeshphysical_vert: vertex$5,\n\tmeshphysical_frag: fragment$5,\n\tmeshtoon_vert: vertex$4,\n\tmeshtoon_frag: fragment$4,\n\tpoints_vert: vertex$3,\n\tpoints_frag: fragment$3,\n\tshadow_vert: vertex$2,\n\tshadow_frag: fragment$2,\n\tsprite_vert: vertex$1,\n\tsprite_frag: fragment$1\n};\n\n/**\n * Uniforms library for shared webgl shaders\n */\n\nconst UniformsLib = {\n\n\tcommon: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\n\t\tmap: { value: null },\n\t\tmapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\n\t\talphaTest: { value: 0 }\n\n\t},\n\n\tspecularmap: {\n\n\t\tspecularMap: { value: null },\n\t\tspecularMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tenvmap: {\n\n\t\tenvMap: { value: null },\n\t\tflipEnvMap: { value: - 1 },\n\t\treflectivity: { value: 1.0 }, // basic, lambert, phong\n\t\tior: { value: 1.5 }, // physical\n\t\trefractionRatio: { value: 0.98 }, // basic, lambert, phong\n\n\t},\n\n\taomap: {\n\n\t\taoMap: { value: null },\n\t\taoMapIntensity: { value: 1 },\n\t\taoMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tlightmap: {\n\n\t\tlightMap: { value: null },\n\t\tlightMapIntensity: { value: 1 },\n\t\tlightMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tbumpmap: {\n\n\t\tbumpMap: { value: null },\n\t\tbumpMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tbumpScale: { value: 1 }\n\n\t},\n\n\tnormalmap: {\n\n\t\tnormalMap: { value: null },\n\t\tnormalMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tnormalScale: { value: /*@__PURE__*/ new Vector2( 1, 1 ) }\n\n\t},\n\n\tdisplacementmap: {\n\n\t\tdisplacementMap: { value: null },\n\t\tdisplacementMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tdisplacementScale: { value: 1 },\n\t\tdisplacementBias: { value: 0 }\n\n\t},\n\n\temissivemap: {\n\n\t\temissiveMap: { value: null },\n\t\temissiveMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tmetalnessmap: {\n\n\t\tmetalnessMap: { value: null },\n\t\tmetalnessMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\troughnessmap: {\n\n\t\troughnessMap: { value: null },\n\t\troughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tgradientmap: {\n\n\t\tgradientMap: { value: null }\n\n\t},\n\n\tfog: {\n\n\t\tfogDensity: { value: 0.00025 },\n\t\tfogNear: { value: 1 },\n\t\tfogFar: { value: 2000 },\n\t\tfogColor: { value: /*@__PURE__*/ new Color( 0xffffff ) }\n\n\t},\n\n\tlights: {\n\n\t\tambientLightColor: { value: [] },\n\n\t\tlightProbe: { value: [] },\n\n\t\tdirectionalLights: { value: [], properties: {\n\t\t\tdirection: {},\n\t\t\tcolor: {}\n\t\t} },\n\n\t\tdirectionalLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {}\n\t\t} },\n\n\t\tdirectionalShadowMap: { value: [] },\n\t\tdirectionalShadowMatrix: { value: [] },\n\n\t\tspotLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\tdirection: {},\n\t\t\tdistance: {},\n\t\t\tconeCos: {},\n\t\t\tpenumbraCos: {},\n\t\t\tdecay: {}\n\t\t} },\n\n\t\tspotLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {}\n\t\t} },\n\n\t\tspotLightMap: { value: [] },\n\t\tspotShadowMap: { value: [] },\n\t\tspotLightMatrix: { value: [] },\n\n\t\tpointLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\tdecay: {},\n\t\t\tdistance: {}\n\t\t} },\n\n\t\tpointLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {},\n\t\t\tshadowCameraNear: {},\n\t\t\tshadowCameraFar: {}\n\t\t} },\n\n\t\tpointShadowMap: { value: [] },\n\t\tpointShadowMatrix: { value: [] },\n\n\t\themisphereLights: { value: [], properties: {\n\t\t\tdirection: {},\n\t\t\tskyColor: {},\n\t\t\tgroundColor: {}\n\t\t} },\n\n\t\t// TODO (abelnation): RectAreaLight BRDF data needs to be moved from example to main src\n\t\trectAreaLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\twidth: {},\n\t\t\theight: {}\n\t\t} },\n\n\t\tltc_1: { value: null },\n\t\tltc_2: { value: null }\n\n\t},\n\n\tpoints: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\t\tsize: { value: 1.0 },\n\t\tscale: { value: 1.0 },\n\t\tmap: { value: null },\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaTest: { value: 0 },\n\t\tuvTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tsprite: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\t\tcenter: { value: /*@__PURE__*/ new Vector2( 0.5, 0.5 ) },\n\t\trotation: { value: 0.0 },\n\t\tmap: { value: null },\n\t\tmapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaTest: { value: 0 }\n\n\t}\n\n};\n\nconst ShaderLib = {\n\n\tbasic: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshbasic_vert,\n\t\tfragmentShader: ShaderChunk.meshbasic_frag\n\n\t},\n\n\tlambert: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshlambert_vert,\n\t\tfragmentShader: ShaderChunk.meshlambert_frag\n\n\t},\n\n\tphong: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\t\tspecular: { value: /*@__PURE__*/ new Color( 0x111111 ) },\n\t\t\t\tshininess: { value: 30 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshphong_vert,\n\t\tfragmentShader: ShaderChunk.meshphong_frag\n\n\t},\n\n\tstandard: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.roughnessmap,\n\t\t\tUniformsLib.metalnessmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\t\troughness: { value: 1.0 },\n\t\t\t\tmetalness: { value: 0.0 },\n\t\t\t\tenvMapIntensity: { value: 1 } // temporary\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshphysical_vert,\n\t\tfragmentShader: ShaderChunk.meshphysical_frag\n\n\t},\n\n\ttoon: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.gradientmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshtoon_vert,\n\t\tfragmentShader: ShaderChunk.meshtoon_frag\n\n\t},\n\n\tmatcap: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tmatcap: { value: null }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshmatcap_vert,\n\t\tfragmentShader: ShaderChunk.meshmatcap_frag\n\n\t},\n\n\tpoints: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.points,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.points_vert,\n\t\tfragmentShader: ShaderChunk.points_frag\n\n\t},\n\n\tdashed: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tscale: { value: 1 },\n\t\t\t\tdashSize: { value: 1 },\n\t\t\t\ttotalSize: { value: 2 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.linedashed_vert,\n\t\tfragmentShader: ShaderChunk.linedashed_frag\n\n\t},\n\n\tdepth: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.displacementmap\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.depth_vert,\n\t\tfragmentShader: ShaderChunk.depth_frag\n\n\t},\n\n\tnormal: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\t{\n\t\t\t\topacity: { value: 1.0 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshnormal_vert,\n\t\tfragmentShader: ShaderChunk.meshnormal_frag\n\n\t},\n\n\tsprite: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.sprite,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.sprite_vert,\n\t\tfragmentShader: ShaderChunk.sprite_frag\n\n\t},\n\n\tbackground: {\n\n\t\tuniforms: {\n\t\t\tuvTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tt2D: { value: null },\n\t\t\tbackgroundIntensity: { value: 1 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.background_vert,\n\t\tfragmentShader: ShaderChunk.background_frag\n\n\t},\n\n\tbackgroundCube: {\n\n\t\tuniforms: {\n\t\t\tenvMap: { value: null },\n\t\t\tflipEnvMap: { value: - 1 },\n\t\t\tbackgroundBlurriness: { value: 0 },\n\t\t\tbackgroundIntensity: { value: 1 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.backgroundCube_vert,\n\t\tfragmentShader: ShaderChunk.backgroundCube_frag\n\n\t},\n\n\tcube: {\n\n\t\tuniforms: {\n\t\t\ttCube: { value: null },\n\t\t\ttFlip: { value: - 1 },\n\t\t\topacity: { value: 1.0 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.cube_vert,\n\t\tfragmentShader: ShaderChunk.cube_frag\n\n\t},\n\n\tequirect: {\n\n\t\tuniforms: {\n\t\t\ttEquirect: { value: null },\n\t\t},\n\n\t\tvertexShader: ShaderChunk.equirect_vert,\n\t\tfragmentShader: ShaderChunk.equirect_frag\n\n\t},\n\n\tdistanceRGBA: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.displacementmap,\n\t\t\t{\n\t\t\t\treferencePosition: { value: /*@__PURE__*/ new Vector3() },\n\t\t\t\tnearDistance: { value: 1 },\n\t\t\t\tfarDistance: { value: 1000 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.distanceRGBA_vert,\n\t\tfragmentShader: ShaderChunk.distanceRGBA_frag\n\n\t},\n\n\tshadow: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.lights,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tcolor: { value: /*@__PURE__*/ new Color( 0x00000 ) },\n\t\t\t\topacity: { value: 1.0 }\n\t\t\t},\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.shadow_vert,\n\t\tfragmentShader: ShaderChunk.shadow_frag\n\n\t}\n\n};\n\nShaderLib.physical = {\n\n\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\tShaderLib.standard.uniforms,\n\t\t{\n\t\t\tclearcoat: { value: 0 },\n\t\t\tclearcoatMap: { value: null },\n\t\t\tclearcoatMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tclearcoatNormalMap: { value: null },\n\t\t\tclearcoatNormalMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tclearcoatNormalScale: { value: /*@__PURE__*/ new Vector2( 1, 1 ) },\n\t\t\tclearcoatRoughness: { value: 0 },\n\t\t\tclearcoatRoughnessMap: { value: null },\n\t\t\tclearcoatRoughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tiridescence: { value: 0 },\n\t\t\tiridescenceMap: { value: null },\n\t\t\tiridescenceMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tiridescenceIOR: { value: 1.3 },\n\t\t\tiridescenceThicknessMinimum: { value: 100 },\n\t\t\tiridescenceThicknessMaximum: { value: 400 },\n\t\t\tiridescenceThicknessMap: { value: null },\n\t\t\tiridescenceThicknessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tsheen: { value: 0 },\n\t\t\tsheenColor: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\tsheenColorMap: { value: null },\n\t\t\tsheenColorMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tsheenRoughness: { value: 1 },\n\t\t\tsheenRoughnessMap: { value: null },\n\t\t\tsheenRoughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\ttransmission: { value: 0 },\n\t\t\ttransmissionMap: { value: null },\n\t\t\ttransmissionMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\ttransmissionSamplerSize: { value: /*@__PURE__*/ new Vector2() },\n\t\t\ttransmissionSamplerMap: { value: null },\n\t\t\tthickness: { value: 0 },\n\t\t\tthicknessMap: { value: null },\n\t\t\tthicknessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tattenuationDistance: { value: 0 },\n\t\t\tattenuationColor: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\tspecularColor: { value: /*@__PURE__*/ new Color( 1, 1, 1 ) },\n\t\t\tspecularColorMap: { value: null },\n\t\t\tspecularColorMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tspecularIntensity: { value: 1 },\n\t\t\tspecularIntensityMap: { value: null },\n\t\t\tspecularIntensityMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tanisotropyVector: { value: /*@__PURE__*/ new Vector2() },\n\t\t\tanisotropyMap: { value: null },\n\t\t\tanisotropyMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t}\n\t] ),\n\n\tvertexShader: ShaderChunk.meshphysical_vert,\n\tfragmentShader: ShaderChunk.meshphysical_frag\n\n};\n\nconst _rgb = { r: 0, b: 0, g: 0 };\n\nfunction WebGLBackground( renderer, cubemaps, cubeuvmaps, state, objects, alpha, premultipliedAlpha ) {\n\n\tconst clearColor = new Color( 0x000000 );\n\tlet clearAlpha = alpha === true ? 0 : 1;\n\n\tlet planeMesh;\n\tlet boxMesh;\n\n\tlet currentBackground = null;\n\tlet currentBackgroundVersion = 0;\n\tlet currentTonemapping = null;\n\n\tfunction render( renderList, scene ) {\n\n\t\tlet forceClear = false;\n\t\tlet background = scene.isScene === true ? scene.background : null;\n\n\t\tif ( background && background.isTexture ) {\n\n\t\t\tconst usePMREM = scene.backgroundBlurriness > 0; // use PMREM if the user wants to blur the background\n\t\t\tbackground = ( usePMREM ? cubeuvmaps : cubemaps ).get( background );\n\n\t\t}\n\n\t\tif ( background === null ) {\n\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t} else if ( background && background.isColor ) {\n\n\t\t\tsetClear( background, 1 );\n\t\t\tforceClear = true;\n\n\t\t}\n\n\t\tconst environmentBlendMode = renderer.xr.getEnvironmentBlendMode();\n\n\t\tif ( environmentBlendMode === 'additive' ) {\n\n\t\t\tstate.buffers.color.setClear( 0, 0, 0, 1, premultipliedAlpha );\n\n\t\t} else if ( environmentBlendMode === 'alpha-blend' ) {\n\n\t\t\tstate.buffers.color.setClear( 0, 0, 0, 0, premultipliedAlpha );\n\n\t\t}\n\n\t\tif ( renderer.autoClear || forceClear ) {\n\n\t\t\trenderer.clear( renderer.autoClearColor, renderer.autoClearDepth, renderer.autoClearStencil );\n\n\t\t}\n\n\t\tif ( background && ( background.isCubeTexture || background.mapping === CubeUVReflectionMapping ) ) {\n\n\t\t\tif ( boxMesh === undefined ) {\n\n\t\t\t\tboxMesh = new Mesh(\n\t\t\t\t\tnew BoxGeometry( 1, 1, 1 ),\n\t\t\t\t\tnew ShaderMaterial( {\n\t\t\t\t\t\tname: 'BackgroundCubeMaterial',\n\t\t\t\t\t\tuniforms: cloneUniforms( ShaderLib.backgroundCube.uniforms ),\n\t\t\t\t\t\tvertexShader: ShaderLib.backgroundCube.vertexShader,\n\t\t\t\t\t\tfragmentShader: ShaderLib.backgroundCube.fragmentShader,\n\t\t\t\t\t\tside: BackSide,\n\t\t\t\t\t\tdepthTest: false,\n\t\t\t\t\t\tdepthWrite: false,\n\t\t\t\t\t\tfog: false\n\t\t\t\t\t} )\n\t\t\t\t);\n\n\t\t\t\tboxMesh.geometry.deleteAttribute( 'normal' );\n\t\t\t\tboxMesh.geometry.deleteAttribute( 'uv' );\n\n\t\t\t\tboxMesh.onBeforeRender = function ( renderer, scene, camera ) {\n\n\t\t\t\t\tthis.matrixWorld.copyPosition( camera.matrixWorld );\n\n\t\t\t\t};\n\n\t\t\t\t// add \"envMap\" material property so the renderer can evaluate it like for built-in materials\n\t\t\t\tObject.defineProperty( boxMesh.material, 'envMap', {\n\n\t\t\t\t\tget: function () {\n\n\t\t\t\t\t\treturn this.uniforms.envMap.value;\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\tobjects.update( boxMesh );\n\n\t\t\t}\n\n\t\t\tboxMesh.material.uniforms.envMap.value = background;\n\t\t\tboxMesh.material.uniforms.flipEnvMap.value = ( background.isCubeTexture && background.isRenderTargetTexture === false ) ? - 1 : 1;\n\t\t\tboxMesh.material.uniforms.backgroundBlurriness.value = scene.backgroundBlurriness;\n\t\t\tboxMesh.material.uniforms.backgroundIntensity.value = scene.backgroundIntensity;\n\t\t\tboxMesh.material.toneMapped = ColorManagement.getTransfer( background.colorSpace ) !== SRGBTransfer;\n\n\t\t\tif ( currentBackground !== background ||\n\t\t\t\tcurrentBackgroundVersion !== background.version ||\n\t\t\t\tcurrentTonemapping !== renderer.toneMapping ) {\n\n\t\t\t\tboxMesh.material.needsUpdate = true;\n\n\t\t\t\tcurrentBackground = background;\n\t\t\t\tcurrentBackgroundVersion = background.version;\n\t\t\t\tcurrentTonemapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t\tboxMesh.layers.enableAll();\n\n\t\t\t// push to the pre-sorted opaque render list\n\t\t\trenderList.unshift( boxMesh, boxMesh.geometry, boxMesh.material, 0, 0, null );\n\n\t\t} else if ( background && background.isTexture ) {\n\n\t\t\tif ( planeMesh === undefined ) {\n\n\t\t\t\tplaneMesh = new Mesh(\n\t\t\t\t\tnew PlaneGeometry( 2, 2 ),\n\t\t\t\t\tnew ShaderMaterial( {\n\t\t\t\t\t\tname: 'BackgroundMaterial',\n\t\t\t\t\t\tuniforms: cloneUniforms( ShaderLib.background.uniforms ),\n\t\t\t\t\t\tvertexShader: ShaderLib.background.vertexShader,\n\t\t\t\t\t\tfragmentShader: ShaderLib.background.fragmentShader,\n\t\t\t\t\t\tside: FrontSide,\n\t\t\t\t\t\tdepthTest: false,\n\t\t\t\t\t\tdepthWrite: false,\n\t\t\t\t\t\tfog: false\n\t\t\t\t\t} )\n\t\t\t\t);\n\n\t\t\t\tplaneMesh.geometry.deleteAttribute( 'normal' );\n\n\t\t\t\t// add \"map\" material property so the renderer can evaluate it like for built-in materials\n\t\t\t\tObject.defineProperty( planeMesh.material, 'map', {\n\n\t\t\t\t\tget: function () {\n\n\t\t\t\t\t\treturn this.uniforms.t2D.value;\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\tobjects.update( planeMesh );\n\n\t\t\t}\n\n\t\t\tplaneMesh.material.uniforms.t2D.value = background;\n\t\t\tplaneMesh.material.uniforms.backgroundIntensity.value = scene.backgroundIntensity;\n\t\t\tplaneMesh.material.toneMapped = ColorManagement.getTransfer( background.colorSpace ) !== SRGBTransfer;\n\n\t\t\tif ( background.matrixAutoUpdate === true ) {\n\n\t\t\t\tbackground.updateMatrix();\n\n\t\t\t}\n\n\t\t\tplaneMesh.material.uniforms.uvTransform.value.copy( background.matrix );\n\n\t\t\tif ( currentBackground !== background ||\n\t\t\t\tcurrentBackgroundVersion !== background.version ||\n\t\t\t\tcurrentTonemapping !== renderer.toneMapping ) {\n\n\t\t\t\tplaneMesh.material.needsUpdate = true;\n\n\t\t\t\tcurrentBackground = background;\n\t\t\t\tcurrentBackgroundVersion = background.version;\n\t\t\t\tcurrentTonemapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t\tplaneMesh.layers.enableAll();\n\n\t\t\t// push to the pre-sorted opaque render list\n\t\t\trenderList.unshift( planeMesh, planeMesh.geometry, planeMesh.material, 0, 0, null );\n\n\t\t}\n\n\t}\n\n\tfunction setClear( color, alpha ) {\n\n\t\tcolor.getRGB( _rgb, getUnlitUniformColorSpace( renderer ) );\n\n\t\tstate.buffers.color.setClear( _rgb.r, _rgb.g, _rgb.b, alpha, premultipliedAlpha );\n\n\t}\n\n\treturn {\n\n\t\tgetClearColor: function () {\n\n\t\t\treturn clearColor;\n\n\t\t},\n\t\tsetClearColor: function ( color, alpha = 1 ) {\n\n\t\t\tclearColor.set( color );\n\t\t\tclearAlpha = alpha;\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t},\n\t\tgetClearAlpha: function () {\n\n\t\t\treturn clearAlpha;\n\n\t\t},\n\t\tsetClearAlpha: function ( alpha ) {\n\n\t\t\tclearAlpha = alpha;\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t},\n\t\trender: render\n\n\t};\n\n}\n\nfunction WebGLBindingStates( gl, extensions, attributes, capabilities ) {\n\n\tconst maxVertexAttributes = gl.getParameter( gl.MAX_VERTEX_ATTRIBS );\n\n\tconst extension = capabilities.isWebGL2 ? null : extensions.get( 'OES_vertex_array_object' );\n\tconst vaoAvailable = capabilities.isWebGL2 || extension !== null;\n\n\tconst bindingStates = {};\n\n\tconst defaultState = createBindingState( null );\n\tlet currentState = defaultState;\n\tlet forceUpdate = false;\n\n\tfunction setup( object, material, program, geometry, index ) {\n\n\t\tlet updateBuffers = false;\n\n\t\tif ( vaoAvailable ) {\n\n\t\t\tconst state = getBindingState( geometry, program, material );\n\n\t\t\tif ( currentState !== state ) {\n\n\t\t\t\tcurrentState = state;\n\t\t\t\tbindVertexArrayObject( currentState.object );\n\n\t\t\t}\n\n\t\t\tupdateBuffers = needsUpdate( object, geometry, program, index );\n\n\t\t\tif ( updateBuffers ) saveCache( object, geometry, program, index );\n\n\t\t} else {\n\n\t\t\tconst wireframe = ( material.wireframe === true );\n\n\t\t\tif ( currentState.geometry !== geometry.id ||\n\t\t\t\tcurrentState.program !== program.id ||\n\t\t\t\tcurrentState.wireframe !== wireframe ) {\n\n\t\t\t\tcurrentState.geometry = geometry.id;\n\t\t\t\tcurrentState.program = program.id;\n\t\t\t\tcurrentState.wireframe = wireframe;\n\n\t\t\t\tupdateBuffers = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( index !== null ) {\n\n\t\t\tattributes.update( index, gl.ELEMENT_ARRAY_BUFFER );\n\n\t\t}\n\n\t\tif ( updateBuffers || forceUpdate ) {\n\n\t\t\tforceUpdate = false;\n\n\t\t\tsetupVertexAttributes( object, material, program, geometry );\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tgl.bindBuffer( gl.ELEMENT_ARRAY_BUFFER, attributes.get( index ).buffer );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction createVertexArrayObject() {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.createVertexArray();\n\n\t\treturn extension.createVertexArrayOES();\n\n\t}\n\n\tfunction bindVertexArrayObject( vao ) {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.bindVertexArray( vao );\n\n\t\treturn extension.bindVertexArrayOES( vao );\n\n\t}\n\n\tfunction deleteVertexArrayObject( vao ) {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.deleteVertexArray( vao );\n\n\t\treturn extension.deleteVertexArrayOES( vao );\n\n\t}\n\n\tfunction getBindingState( geometry, program, material ) {\n\n\t\tconst wireframe = ( material.wireframe === true );\n\n\t\tlet programMap = bindingStates[ geometry.id ];\n\n\t\tif ( programMap === undefined ) {\n\n\t\t\tprogramMap = {};\n\t\t\tbindingStates[ geometry.id ] = programMap;\n\n\t\t}\n\n\t\tlet stateMap = programMap[ program.id ];\n\n\t\tif ( stateMap === undefined ) {\n\n\t\t\tstateMap = {};\n\t\t\tprogramMap[ program.id ] = stateMap;\n\n\t\t}\n\n\t\tlet state = stateMap[ wireframe ];\n\n\t\tif ( state === undefined ) {\n\n\t\t\tstate = createBindingState( createVertexArrayObject() );\n\t\t\tstateMap[ wireframe ] = state;\n\n\t\t}\n\n\t\treturn state;\n\n\t}\n\n\tfunction createBindingState( vao ) {\n\n\t\tconst newAttributes = [];\n\t\tconst enabledAttributes = [];\n\t\tconst attributeDivisors = [];\n\n\t\tfor ( let i = 0; i < maxVertexAttributes; i ++ ) {\n\n\t\t\tnewAttributes[ i ] = 0;\n\t\t\tenabledAttributes[ i ] = 0;\n\t\t\tattributeDivisors[ i ] = 0;\n\n\t\t}\n\n\t\treturn {\n\n\t\t\t// for backward compatibility on non-VAO support browser\n\t\t\tgeometry: null,\n\t\t\tprogram: null,\n\t\t\twireframe: false,\n\n\t\t\tnewAttributes: newAttributes,\n\t\t\tenabledAttributes: enabledAttributes,\n\t\t\tattributeDivisors: attributeDivisors,\n\t\t\tobject: vao,\n\t\t\tattributes: {},\n\t\t\tindex: null\n\n\t\t};\n\n\t}\n\n\tfunction needsUpdate( object, geometry, program, index ) {\n\n\t\tconst cachedAttributes = currentState.attributes;\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\tlet attributesNum = 0;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tconst cachedAttribute = cachedAttributes[ name ];\n\t\t\t\tlet geometryAttribute = geometryAttributes[ name ];\n\n\t\t\t\tif ( geometryAttribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) geometryAttribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) geometryAttribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tif ( cachedAttribute === undefined ) return true;\n\n\t\t\t\tif ( cachedAttribute.attribute !== geometryAttribute ) return true;\n\n\t\t\t\tif ( geometryAttribute && cachedAttribute.data !== geometryAttribute.data ) return true;\n\n\t\t\t\tattributesNum ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( currentState.attributesNum !== attributesNum ) return true;\n\n\t\tif ( currentState.index !== index ) return true;\n\n\t\treturn false;\n\n\t}\n\n\tfunction saveCache( object, geometry, program, index ) {\n\n\t\tconst cache = {};\n\t\tconst attributes = geometry.attributes;\n\t\tlet attributesNum = 0;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tlet attribute = attributes[ name ];\n\n\t\t\t\tif ( attribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) attribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) attribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tconst data = {};\n\t\t\t\tdata.attribute = attribute;\n\n\t\t\t\tif ( attribute && attribute.data ) {\n\n\t\t\t\t\tdata.data = attribute.data;\n\n\t\t\t\t}\n\n\t\t\t\tcache[ name ] = data;\n\n\t\t\t\tattributesNum ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tcurrentState.attributes = cache;\n\t\tcurrentState.attributesNum = attributesNum;\n\n\t\tcurrentState.index = index;\n\n\t}\n\n\tfunction initAttributes() {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\n\t\tfor ( let i = 0, il = newAttributes.length; i < il; i ++ ) {\n\n\t\t\tnewAttributes[ i ] = 0;\n\n\t\t}\n\n\t}\n\n\tfunction enableAttribute( attribute ) {\n\n\t\tenableAttributeAndDivisor( attribute, 0 );\n\n\t}\n\n\tfunction enableAttributeAndDivisor( attribute, meshPerAttribute ) {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\t\tconst enabledAttributes = currentState.enabledAttributes;\n\t\tconst attributeDivisors = currentState.attributeDivisors;\n\n\t\tnewAttributes[ attribute ] = 1;\n\n\t\tif ( enabledAttributes[ attribute ] === 0 ) {\n\n\t\t\tgl.enableVertexAttribArray( attribute );\n\t\t\tenabledAttributes[ attribute ] = 1;\n\n\t\t}\n\n\t\tif ( attributeDivisors[ attribute ] !== meshPerAttribute ) {\n\n\t\t\tconst extension = capabilities.isWebGL2 ? gl : extensions.get( 'ANGLE_instanced_arrays' );\n\n\t\t\textension[ capabilities.isWebGL2 ? 'vertexAttribDivisor' : 'vertexAttribDivisorANGLE' ]( attribute, meshPerAttribute );\n\t\t\tattributeDivisors[ attribute ] = meshPerAttribute;\n\n\t\t}\n\n\t}\n\n\tfunction disableUnusedAttributes() {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\t\tconst enabledAttributes = currentState.enabledAttributes;\n\n\t\tfor ( let i = 0, il = enabledAttributes.length; i < il; i ++ ) {\n\n\t\t\tif ( enabledAttributes[ i ] !== newAttributes[ i ] ) {\n\n\t\t\t\tgl.disableVertexAttribArray( i );\n\t\t\t\tenabledAttributes[ i ] = 0;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction vertexAttribPointer( index, size, type, normalized, stride, offset, integer ) {\n\n\t\tif ( integer === true ) {\n\n\t\t\tgl.vertexAttribIPointer( index, size, type, stride, offset );\n\n\t\t} else {\n\n\t\t\tgl.vertexAttribPointer( index, size, type, normalized, stride, offset );\n\n\t\t}\n\n\t}\n\n\tfunction setupVertexAttributes( object, material, program, geometry ) {\n\n\t\tif ( capabilities.isWebGL2 === false && ( object.isInstancedMesh || geometry.isInstancedBufferGeometry ) ) {\n\n\t\t\tif ( extensions.get( 'ANGLE_instanced_arrays' ) === null ) return;\n\n\t\t}\n\n\t\tinitAttributes();\n\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tconst materialDefaultAttributeValues = material.defaultAttributeValues;\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tlet geometryAttribute = geometryAttributes[ name ];\n\n\t\t\t\tif ( geometryAttribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) geometryAttribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) geometryAttribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tif ( geometryAttribute !== undefined ) {\n\n\t\t\t\t\tconst normalized = geometryAttribute.normalized;\n\t\t\t\t\tconst size = geometryAttribute.itemSize;\n\n\t\t\t\t\tconst attribute = attributes.get( geometryAttribute );\n\n\t\t\t\t\t// TODO Attribute may not be available on context restore\n\n\t\t\t\t\tif ( attribute === undefined ) continue;\n\n\t\t\t\t\tconst buffer = attribute.buffer;\n\t\t\t\t\tconst type = attribute.type;\n\t\t\t\t\tconst bytesPerElement = attribute.bytesPerElement;\n\n\t\t\t\t\t// check for integer attributes (WebGL 2 only)\n\n\t\t\t\t\tconst integer = ( capabilities.isWebGL2 === true && ( type === gl.INT || type === gl.UNSIGNED_INT || geometryAttribute.gpuType === IntType ) );\n\n\t\t\t\t\tif ( geometryAttribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\t\tconst data = geometryAttribute.data;\n\t\t\t\t\t\tconst stride = data.stride;\n\t\t\t\t\t\tconst offset = geometryAttribute.offset;\n\n\t\t\t\t\t\tif ( data.isInstancedInterleavedBuffer ) {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttributeAndDivisor( programAttribute.location + i, data.meshPerAttribute );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( object.isInstancedMesh !== true && geometry._maxInstanceCount === undefined ) {\n\n\t\t\t\t\t\t\t\tgeometry._maxInstanceCount = data.meshPerAttribute * data.count;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttribute( programAttribute.location + i );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tgl.bindBuffer( gl.ARRAY_BUFFER, buffer );\n\n\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\tvertexAttribPointer(\n\t\t\t\t\t\t\t\tprogramAttribute.location + i,\n\t\t\t\t\t\t\t\tsize / programAttribute.locationSize,\n\t\t\t\t\t\t\t\ttype,\n\t\t\t\t\t\t\t\tnormalized,\n\t\t\t\t\t\t\t\tstride * bytesPerElement,\n\t\t\t\t\t\t\t\t( offset + ( size / programAttribute.locationSize ) * i ) * bytesPerElement,\n\t\t\t\t\t\t\t\tinteger\n\t\t\t\t\t\t\t);\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( geometryAttribute.isInstancedBufferAttribute ) {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttributeAndDivisor( programAttribute.location + i, geometryAttribute.meshPerAttribute );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( object.isInstancedMesh !== true && geometry._maxInstanceCount === undefined ) {\n\n\t\t\t\t\t\t\t\tgeometry._maxInstanceCount = geometryAttribute.meshPerAttribute * geometryAttribute.count;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttribute( programAttribute.location + i );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tgl.bindBuffer( gl.ARRAY_BUFFER, buffer );\n\n\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\tvertexAttribPointer(\n\t\t\t\t\t\t\t\tprogramAttribute.location + i,\n\t\t\t\t\t\t\t\tsize / programAttribute.locationSize,\n\t\t\t\t\t\t\t\ttype,\n\t\t\t\t\t\t\t\tnormalized,\n\t\t\t\t\t\t\t\tsize * bytesPerElement,\n\t\t\t\t\t\t\t\t( size / programAttribute.locationSize ) * i * bytesPerElement,\n\t\t\t\t\t\t\t\tinteger\n\t\t\t\t\t\t\t);\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( materialDefaultAttributeValues !== undefined ) {\n\n\t\t\t\t\tconst value = materialDefaultAttributeValues[ name ];\n\n\t\t\t\t\tif ( value !== undefined ) {\n\n\t\t\t\t\t\tswitch ( value.length ) {\n\n\t\t\t\t\t\t\tcase 2:\n\t\t\t\t\t\t\t\tgl.vertexAttrib2fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tcase 3:\n\t\t\t\t\t\t\t\tgl.vertexAttrib3fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tcase 4:\n\t\t\t\t\t\t\t\tgl.vertexAttrib4fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t\tgl.vertexAttrib1fv( programAttribute.location, value );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tdisableUnusedAttributes();\n\n\t}\n\n\tfunction dispose() {\n\n\t\treset();\n\n\t\tfor ( const geometryId in bindingStates ) {\n\n\t\t\tconst programMap = bindingStates[ geometryId ];\n\n\t\t\tfor ( const programId in programMap ) {\n\n\t\t\t\tconst stateMap = programMap[ programId ];\n\n\t\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t\t}\n\n\t\t\t\tdelete programMap[ programId ];\n\n\t\t\t}\n\n\t\t\tdelete bindingStates[ geometryId ];\n\n\t\t}\n\n\t}\n\n\tfunction releaseStatesOfGeometry( geometry ) {\n\n\t\tif ( bindingStates[ geometry.id ] === undefined ) return;\n\n\t\tconst programMap = bindingStates[ geometry.id ];\n\n\t\tfor ( const programId in programMap ) {\n\n\t\t\tconst stateMap = programMap[ programId ];\n\n\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t}\n\n\t\t\tdelete programMap[ programId ];\n\n\t\t}\n\n\t\tdelete bindingStates[ geometry.id ];\n\n\t}\n\n\tfunction releaseStatesOfProgram( program ) {\n\n\t\tfor ( const geometryId in bindingStates ) {\n\n\t\t\tconst programMap = bindingStates[ geometryId ];\n\n\t\t\tif ( programMap[ program.id ] === undefined ) continue;\n\n\t\t\tconst stateMap = programMap[ program.id ];\n\n\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t}\n\n\t\t\tdelete programMap[ program.id ];\n\n\t\t}\n\n\t}\n\n\tfunction reset() {\n\n\t\tresetDefaultState();\n\t\tforceUpdate = true;\n\n\t\tif ( currentState === defaultState ) return;\n\n\t\tcurrentState = defaultState;\n\t\tbindVertexArrayObject( currentState.object );\n\n\t}\n\n\t// for backward-compatibility\n\n\tfunction resetDefaultState() {\n\n\t\tdefaultState.geometry = null;\n\t\tdefaultState.program = null;\n\t\tdefaultState.wireframe = false;\n\n\t}\n\n\treturn {\n\n\t\tsetup: setup,\n\t\treset: reset,\n\t\tresetDefaultState: resetDefaultState,\n\t\tdispose: dispose,\n\t\treleaseStatesOfGeometry: releaseStatesOfGeometry,\n\t\treleaseStatesOfProgram: releaseStatesOfProgram,\n\n\t\tinitAttributes: initAttributes,\n\t\tenableAttribute: enableAttribute,\n\t\tdisableUnusedAttributes: disableUnusedAttributes\n\n\t};\n\n}\n\nfunction WebGLBufferRenderer( gl, extensions, info, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tlet mode;\n\n\tfunction setMode( value ) {\n\n\t\tmode = value;\n\n\t}\n\n\tfunction render( start, count ) {\n\n\t\tgl.drawArrays( mode, start, count );\n\n\t\tinfo.update( count, mode, 1 );\n\n\t}\n\n\tfunction renderInstances( start, count, primcount ) {\n\n\t\tif ( primcount === 0 ) return;\n\n\t\tlet extension, methodName;\n\n\t\tif ( isWebGL2 ) {\n\n\t\t\textension = gl;\n\t\t\tmethodName = 'drawArraysInstanced';\n\n\t\t} else {\n\n\t\t\textension = extensions.get( 'ANGLE_instanced_arrays' );\n\t\t\tmethodName = 'drawArraysInstancedANGLE';\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\textension[ methodName ]( mode, start, count, primcount );\n\n\t\tinfo.update( count, mode, primcount );\n\n\t}\n\n\tfunction renderMultiDraw( starts, counts, drawCount ) {\n\n\t\tif ( drawCount === 0 ) return;\n\n\t\tconst extension = extensions.get( 'WEBGL_multi_draw' );\n\t\tif ( extension === null ) {\n\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\tthis.render( starts[ i ], counts[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\textension.multiDrawArraysWEBGL( mode, starts, 0, counts, 0, drawCount );\n\n\t\t\tlet elementCount = 0;\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\telementCount += counts[ i ];\n\n\t\t\t}\n\n\t\t\tinfo.update( elementCount, mode, 1 );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tthis.setMode = setMode;\n\tthis.render = render;\n\tthis.renderInstances = renderInstances;\n\tthis.renderMultiDraw = renderMultiDraw;\n\n}\n\nfunction WebGLCapabilities( gl, extensions, parameters ) {\n\n\tlet maxAnisotropy;\n\n\tfunction getMaxAnisotropy() {\n\n\t\tif ( maxAnisotropy !== undefined ) return maxAnisotropy;\n\n\t\tif ( extensions.has( 'EXT_texture_filter_anisotropic' ) === true ) {\n\n\t\t\tconst extension = extensions.get( 'EXT_texture_filter_anisotropic' );\n\n\t\t\tmaxAnisotropy = gl.getParameter( extension.MAX_TEXTURE_MAX_ANISOTROPY_EXT );\n\n\t\t} else {\n\n\t\t\tmaxAnisotropy = 0;\n\n\t\t}\n\n\t\treturn maxAnisotropy;\n\n\t}\n\n\tfunction getMaxPrecision( precision ) {\n\n\t\tif ( precision === 'highp' ) {\n\n\t\t\tif ( gl.getShaderPrecisionFormat( gl.VERTEX_SHADER, gl.HIGH_FLOAT ).precision > 0 &&\n\t\t\t\tgl.getShaderPrecisionFormat( gl.FRAGMENT_SHADER, gl.HIGH_FLOAT ).precision > 0 ) {\n\n\t\t\t\treturn 'highp';\n\n\t\t\t}\n\n\t\t\tprecision = 'mediump';\n\n\t\t}\n\n\t\tif ( precision === 'mediump' ) {\n\n\t\t\tif ( gl.getShaderPrecisionFormat( gl.VERTEX_SHADER, gl.MEDIUM_FLOAT ).precision > 0 &&\n\t\t\t\tgl.getShaderPrecisionFormat( gl.FRAGMENT_SHADER, gl.MEDIUM_FLOAT ).precision > 0 ) {\n\n\t\t\t\treturn 'mediump';\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn 'lowp';\n\n\t}\n\n\tconst isWebGL2 = typeof WebGL2RenderingContext !== 'undefined' && gl.constructor.name === 'WebGL2RenderingContext';\n\n\tlet precision = parameters.precision !== undefined ? parameters.precision : 'highp';\n\tconst maxPrecision = getMaxPrecision( precision );\n\n\tif ( maxPrecision !== precision ) {\n\n\t\tconsole.warn( 'THREE.WebGLRenderer:', precision, 'not supported, using', maxPrecision, 'instead.' );\n\t\tprecision = maxPrecision;\n\n\t}\n\n\tconst drawBuffers = isWebGL2 || extensions.has( 'WEBGL_draw_buffers' );\n\n\tconst logarithmicDepthBuffer = parameters.logarithmicDepthBuffer === true;\n\n\tconst maxTextures = gl.getParameter( gl.MAX_TEXTURE_IMAGE_UNITS );\n\tconst maxVertexTextures = gl.getParameter( gl.MAX_VERTEX_TEXTURE_IMAGE_UNITS );\n\tconst maxTextureSize = gl.getParameter( gl.MAX_TEXTURE_SIZE );\n\tconst maxCubemapSize = gl.getParameter( gl.MAX_CUBE_MAP_TEXTURE_SIZE );\n\n\tconst maxAttributes = gl.getParameter( gl.MAX_VERTEX_ATTRIBS );\n\tconst maxVertexUniforms = gl.getParameter( gl.MAX_VERTEX_UNIFORM_VECTORS );\n\tconst maxVaryings = gl.getParameter( gl.MAX_VARYING_VECTORS );\n\tconst maxFragmentUniforms = gl.getParameter( gl.MAX_FRAGMENT_UNIFORM_VECTORS );\n\n\tconst vertexTextures = maxVertexTextures > 0;\n\tconst floatFragmentTextures = isWebGL2 || extensions.has( 'OES_texture_float' );\n\tconst floatVertexTextures = vertexTextures && floatFragmentTextures;\n\n\tconst maxSamples = isWebGL2 ? gl.getParameter( gl.MAX_SAMPLES ) : 0;\n\n\treturn {\n\n\t\tisWebGL2: isWebGL2,\n\n\t\tdrawBuffers: drawBuffers,\n\n\t\tgetMaxAnisotropy: getMaxAnisotropy,\n\t\tgetMaxPrecision: getMaxPrecision,\n\n\t\tprecision: precision,\n\t\tlogarithmicDepthBuffer: logarithmicDepthBuffer,\n\n\t\tmaxTextures: maxTextures,\n\t\tmaxVertexTextures: maxVertexTextures,\n\t\tmaxTextureSize: maxTextureSize,\n\t\tmaxCubemapSize: maxCubemapSize,\n\n\t\tmaxAttributes: maxAttributes,\n\t\tmaxVertexUniforms: maxVertexUniforms,\n\t\tmaxVaryings: maxVaryings,\n\t\tmaxFragmentUniforms: maxFragmentUniforms,\n\n\t\tvertexTextures: vertexTextures,\n\t\tfloatFragmentTextures: floatFragmentTextures,\n\t\tfloatVertexTextures: floatVertexTextures,\n\n\t\tmaxSamples: maxSamples\n\n\t};\n\n}\n\nfunction WebGLClipping( properties ) {\n\n\tconst scope = this;\n\n\tlet globalState = null,\n\t\tnumGlobalPlanes = 0,\n\t\tlocalClippingEnabled = false,\n\t\trenderingShadows = false;\n\n\tconst plane = new Plane(),\n\t\tviewNormalMatrix = new Matrix3(),\n\n\t\tuniform = { value: null, needsUpdate: false };\n\n\tthis.uniform = uniform;\n\tthis.numPlanes = 0;\n\tthis.numIntersection = 0;\n\n\tthis.init = function ( planes, enableLocalClipping ) {\n\n\t\tconst enabled =\n\t\t\tplanes.length !== 0 ||\n\t\t\tenableLocalClipping ||\n\t\t\t// enable state of previous frame - the clipping code has to\n\t\t\t// run another frame in order to reset the state:\n\t\t\tnumGlobalPlanes !== 0 ||\n\t\t\tlocalClippingEnabled;\n\n\t\tlocalClippingEnabled = enableLocalClipping;\n\n\t\tnumGlobalPlanes = planes.length;\n\n\t\treturn enabled;\n\n\t};\n\n\tthis.beginShadows = function () {\n\n\t\trenderingShadows = true;\n\t\tprojectPlanes( null );\n\n\t};\n\n\tthis.endShadows = function () {\n\n\t\trenderingShadows = false;\n\n\t};\n\n\tthis.setGlobalState = function ( planes, camera ) {\n\n\t\tglobalState = projectPlanes( planes, camera, 0 );\n\n\t};\n\n\tthis.setState = function ( material, camera, useCache ) {\n\n\t\tconst planes = material.clippingPlanes,\n\t\t\tclipIntersection = material.clipIntersection,\n\t\t\tclipShadows = material.clipShadows;\n\n\t\tconst materialProperties = properties.get( material );\n\n\t\tif ( ! localClippingEnabled || planes === null || planes.length === 0 || renderingShadows && ! clipShadows ) {\n\n\t\t\t// there's no local clipping\n\n\t\t\tif ( renderingShadows ) {\n\n\t\t\t\t// there's no global clipping\n\n\t\t\t\tprojectPlanes( null );\n\n\t\t\t} else {\n\n\t\t\t\tresetGlobalState();\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst nGlobal = renderingShadows ? 0 : numGlobalPlanes,\n\t\t\t\tlGlobal = nGlobal * 4;\n\n\t\t\tlet dstArray = materialProperties.clippingState || null;\n\n\t\t\tuniform.value = dstArray; // ensure unique state\n\n\t\t\tdstArray = projectPlanes( planes, camera, lGlobal, useCache );\n\n\t\t\tfor ( let i = 0; i !== lGlobal; ++ i ) {\n\n\t\t\t\tdstArray[ i ] = globalState[ i ];\n\n\t\t\t}\n\n\t\t\tmaterialProperties.clippingState = dstArray;\n\t\t\tthis.numIntersection = clipIntersection ? this.numPlanes : 0;\n\t\t\tthis.numPlanes += nGlobal;\n\n\t\t}\n\n\n\t};\n\n\tfunction resetGlobalState() {\n\n\t\tif ( uniform.value !== globalState ) {\n\n\t\t\tuniform.value = globalState;\n\t\t\tuniform.needsUpdate = numGlobalPlanes > 0;\n\n\t\t}\n\n\t\tscope.numPlanes = numGlobalPlanes;\n\t\tscope.numIntersection = 0;\n\n\t}\n\n\tfunction projectPlanes( planes, camera, dstOffset, skipTransform ) {\n\n\t\tconst nPlanes = planes !== null ? planes.length : 0;\n\t\tlet dstArray = null;\n\n\t\tif ( nPlanes !== 0 ) {\n\n\t\t\tdstArray = uniform.value;\n\n\t\t\tif ( skipTransform !== true || dstArray === null ) {\n\n\t\t\t\tconst flatSize = dstOffset + nPlanes * 4,\n\t\t\t\t\tviewMatrix = camera.matrixWorldInverse;\n\n\t\t\t\tviewNormalMatrix.getNormalMatrix( viewMatrix );\n\n\t\t\t\tif ( dstArray === null || dstArray.length < flatSize ) {\n\n\t\t\t\t\tdstArray = new Float32Array( flatSize );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0, i4 = dstOffset; i !== nPlanes; ++ i, i4 += 4 ) {\n\n\t\t\t\t\tplane.copy( planes[ i ] ).applyMatrix4( viewMatrix, viewNormalMatrix );\n\n\t\t\t\t\tplane.normal.toArray( dstArray, i4 );\n\t\t\t\t\tdstArray[ i4 + 3 ] = plane.constant;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tuniform.value = dstArray;\n\t\t\tuniform.needsUpdate = true;\n\n\t\t}\n\n\t\tscope.numPlanes = nPlanes;\n\t\tscope.numIntersection = 0;\n\n\t\treturn dstArray;\n\n\t}\n\n}\n\nfunction WebGLCubeMaps( renderer ) {\n\n\tlet cubemaps = new WeakMap();\n\n\tfunction mapTextureMapping( texture, mapping ) {\n\n\t\tif ( mapping === EquirectangularReflectionMapping ) {\n\n\t\t\ttexture.mapping = CubeReflectionMapping;\n\n\t\t} else if ( mapping === EquirectangularRefractionMapping ) {\n\n\t\t\ttexture.mapping = CubeRefractionMapping;\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction get( texture ) {\n\n\t\tif ( texture && texture.isTexture ) {\n\n\t\t\tconst mapping = texture.mapping;\n\n\t\t\tif ( mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping ) {\n\n\t\t\t\tif ( cubemaps.has( texture ) ) {\n\n\t\t\t\t\tconst cubemap = cubemaps.get( texture ).texture;\n\t\t\t\t\treturn mapTextureMapping( cubemap, texture.mapping );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconst image = texture.image;\n\n\t\t\t\t\tif ( image && image.height > 0 ) {\n\n\t\t\t\t\t\tconst renderTarget = new WebGLCubeRenderTarget( image.height / 2 );\n\t\t\t\t\t\trenderTarget.fromEquirectangularTexture( renderer, texture );\n\t\t\t\t\t\tcubemaps.set( texture, renderTarget );\n\n\t\t\t\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t\t\t\t\treturn mapTextureMapping( renderTarget.texture, texture.mapping );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// image not yet ready. try the conversion next frame\n\n\t\t\t\t\t\treturn null;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tconst cubemap = cubemaps.get( texture );\n\n\t\tif ( cubemap !== undefined ) {\n\n\t\t\tcubemaps.delete( texture );\n\t\t\tcubemap.dispose();\n\n\t\t}\n\n\t}\n\n\tfunction dispose() {\n\n\t\tcubemaps = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nclass OrthographicCamera extends Camera {\n\n\tconstructor( left = - 1, right = 1, top = 1, bottom = - 1, near = 0.1, far = 2000 ) {\n\n\t\tsuper();\n\n\t\tthis.isOrthographicCamera = true;\n\n\t\tthis.type = 'OrthographicCamera';\n\n\t\tthis.zoom = 1;\n\t\tthis.view = null;\n\n\t\tthis.left = left;\n\t\tthis.right = right;\n\t\tthis.top = top;\n\t\tthis.bottom = bottom;\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.left = source.left;\n\t\tthis.right = source.right;\n\t\tthis.top = source.top;\n\t\tthis.bottom = source.bottom;\n\t\tthis.near = source.near;\n\t\tthis.far = source.far;\n\n\t\tthis.zoom = source.zoom;\n\t\tthis.view = source.view === null ? null : Object.assign( {}, source.view );\n\n\t\treturn this;\n\n\t}\n\n\tsetViewOffset( fullWidth, fullHeight, x, y, width, height ) {\n\n\t\tif ( this.view === null ) {\n\n\t\t\tthis.view = {\n\t\t\t\tenabled: true,\n\t\t\t\tfullWidth: 1,\n\t\t\t\tfullHeight: 1,\n\t\t\t\toffsetX: 0,\n\t\t\t\toffsetY: 0,\n\t\t\t\twidth: 1,\n\t\t\t\theight: 1\n\t\t\t};\n\n\t\t}\n\n\t\tthis.view.enabled = true;\n\t\tthis.view.fullWidth = fullWidth;\n\t\tthis.view.fullHeight = fullHeight;\n\t\tthis.view.offsetX = x;\n\t\tthis.view.offsetY = y;\n\t\tthis.view.width = width;\n\t\tthis.view.height = height;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tclearViewOffset() {\n\n\t\tif ( this.view !== null ) {\n\n\t\t\tthis.view.enabled = false;\n\n\t\t}\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tupdateProjectionMatrix() {\n\n\t\tconst dx = ( this.right - this.left ) / ( 2 * this.zoom );\n\t\tconst dy = ( this.top - this.bottom ) / ( 2 * this.zoom );\n\t\tconst cx = ( this.right + this.left ) / 2;\n\t\tconst cy = ( this.top + this.bottom ) / 2;\n\n\t\tlet left = cx - dx;\n\t\tlet right = cx + dx;\n\t\tlet top = cy + dy;\n\t\tlet bottom = cy - dy;\n\n\t\tif ( this.view !== null && this.view.enabled ) {\n\n\t\t\tconst scaleW = ( this.right - this.left ) / this.view.fullWidth / this.zoom;\n\t\t\tconst scaleH = ( this.top - this.bottom ) / this.view.fullHeight / this.zoom;\n\n\t\t\tleft += scaleW * this.view.offsetX;\n\t\t\tright = left + scaleW * this.view.width;\n\t\t\ttop -= scaleH * this.view.offsetY;\n\t\t\tbottom = top - scaleH * this.view.height;\n\n\t\t}\n\n\t\tthis.projectionMatrix.makeOrthographic( left, right, top, bottom, this.near, this.far, this.coordinateSystem );\n\n\t\tthis.projectionMatrixInverse.copy( this.projectionMatrix ).invert();\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.zoom = this.zoom;\n\t\tdata.object.left = this.left;\n\t\tdata.object.right = this.right;\n\t\tdata.object.top = this.top;\n\t\tdata.object.bottom = this.bottom;\n\t\tdata.object.near = this.near;\n\t\tdata.object.far = this.far;\n\n\t\tif ( this.view !== null ) data.object.view = Object.assign( {}, this.view );\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst LOD_MIN = 4;\n\n// The standard deviations (radians) associated with the extra mips. These are\n// chosen to approximate a Trowbridge-Reitz distribution function times the\n// geometric shadowing function. These sigma values squared must match the\n// variance #defines in cube_uv_reflection_fragment.glsl.js.\nconst EXTRA_LOD_SIGMA = [ 0.125, 0.215, 0.35, 0.446, 0.526, 0.582 ];\n\n// The maximum length of the blur for loop. Smaller sigmas will use fewer\n// samples and exit early, but not recompile the shader.\nconst MAX_SAMPLES = 20;\n\nconst _flatCamera = /*@__PURE__*/ new OrthographicCamera();\nconst _clearColor = /*@__PURE__*/ new Color();\nlet _oldTarget = null;\nlet _oldActiveCubeFace = 0;\nlet _oldActiveMipmapLevel = 0;\n\n// Golden Ratio\nconst PHI = ( 1 + Math.sqrt( 5 ) ) / 2;\nconst INV_PHI = 1 / PHI;\n\n// Vertices of a dodecahedron (except the opposites, which represent the\n// same axis), used as axis directions evenly spread on a sphere.\nconst _axisDirections = [\n\t/*@__PURE__*/ new Vector3( 1, 1, 1 ),\n\t/*@__PURE__*/ new Vector3( - 1, 1, 1 ),\n\t/*@__PURE__*/ new Vector3( 1, 1, - 1 ),\n\t/*@__PURE__*/ new Vector3( - 1, 1, - 1 ),\n\t/*@__PURE__*/ new Vector3( 0, PHI, INV_PHI ),\n\t/*@__PURE__*/ new Vector3( 0, PHI, - INV_PHI ),\n\t/*@__PURE__*/ new Vector3( INV_PHI, 0, PHI ),\n\t/*@__PURE__*/ new Vector3( - INV_PHI, 0, PHI ),\n\t/*@__PURE__*/ new Vector3( PHI, INV_PHI, 0 ),\n\t/*@__PURE__*/ new Vector3( - PHI, INV_PHI, 0 ) ];\n\n/**\n * This class generates a Prefiltered, Mipmapped Radiance Environment Map\n * (PMREM) from a cubeMap environment texture. This allows different levels of\n * blur to be quickly accessed based on material roughness. It is packed into a\n * special CubeUV format that allows us to perform custom interpolation so that\n * we can support nonlinear formats such as RGBE. Unlike a traditional mipmap\n * chain, it only goes down to the LOD_MIN level (above), and then creates extra\n * even more filtered 'mips' at the same LOD_MIN resolution, associated with\n * higher roughness levels. In this way we maintain resolution to smoothly\n * interpolate diffuse lighting while limiting sampling computation.\n *\n * Paper: Fast, Accurate Image-Based Lighting\n * https://drive.google.com/file/d/15y8r_UpKlU9SvV4ILb0C3qCPecS8pvLz/view\n*/\n\nclass PMREMGenerator {\n\n\tconstructor( renderer ) {\n\n\t\tthis._renderer = renderer;\n\t\tthis._pingPongRenderTarget = null;\n\n\t\tthis._lodMax = 0;\n\t\tthis._cubeSize = 0;\n\t\tthis._lodPlanes = [];\n\t\tthis._sizeLods = [];\n\t\tthis._sigmas = [];\n\n\t\tthis._blurMaterial = null;\n\t\tthis._cubemapMaterial = null;\n\t\tthis._equirectMaterial = null;\n\n\t\tthis._compileMaterial( this._blurMaterial );\n\n\t}\n\n\t/**\n\t * Generates a PMREM from a supplied Scene, which can be faster than using an\n\t * image if networking bandwidth is low. Optional sigma specifies a blur radius\n\t * in radians to be applied to the scene before PMREM generation. Optional near\n\t * and far planes ensure the scene is rendered in its entirety (the cubeCamera\n\t * is placed at the origin).\n\t */\n\tfromScene( scene, sigma = 0, near = 0.1, far = 100 ) {\n\n\t\t_oldTarget = this._renderer.getRenderTarget();\n\t\t_oldActiveCubeFace = this._renderer.getActiveCubeFace();\n\t\t_oldActiveMipmapLevel = this._renderer.getActiveMipmapLevel();\n\n\t\tthis._setSize( 256 );\n\n\t\tconst cubeUVRenderTarget = this._allocateTargets();\n\t\tcubeUVRenderTarget.depthBuffer = true;\n\n\t\tthis._sceneToCubeUV( scene, near, far, cubeUVRenderTarget );\n\n\t\tif ( sigma > 0 ) {\n\n\t\t\tthis._blur( cubeUVRenderTarget, 0, 0, sigma );\n\n\t\t}\n\n\t\tthis._applyPMREM( cubeUVRenderTarget );\n\t\tthis._cleanup( cubeUVRenderTarget );\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t/**\n\t * Generates a PMREM from an equirectangular texture, which can be either LDR\n\t * or HDR. The ideal input image size is 1k (1024 x 512),\n\t * as this matches best with the 256 x 256 cubemap output.\n\t */\n\tfromEquirectangular( equirectangular, renderTarget = null ) {\n\n\t\treturn this._fromTexture( equirectangular, renderTarget );\n\n\t}\n\n\t/**\n\t * Generates a PMREM from an cubemap texture, which can be either LDR\n\t * or HDR. The ideal input cube size is 256 x 256,\n\t * as this matches best with the 256 x 256 cubemap output.\n\t */\n\tfromCubemap( cubemap, renderTarget = null ) {\n\n\t\treturn this._fromTexture( cubemap, renderTarget );\n\n\t}\n\n\t/**\n\t * Pre-compiles the cubemap shader. You can get faster start-up by invoking this method during\n\t * your texture's network fetch for increased concurrency.\n\t */\n\tcompileCubemapShader() {\n\n\t\tif ( this._cubemapMaterial === null ) {\n\n\t\t\tthis._cubemapMaterial = _getCubemapMaterial();\n\t\t\tthis._compileMaterial( this._cubemapMaterial );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Pre-compiles the equirectangular shader. You can get faster start-up by invoking this method during\n\t * your texture's network fetch for increased concurrency.\n\t */\n\tcompileEquirectangularShader() {\n\n\t\tif ( this._equirectMaterial === null ) {\n\n\t\t\tthis._equirectMaterial = _getEquirectMaterial();\n\t\t\tthis._compileMaterial( this._equirectMaterial );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Disposes of the PMREMGenerator's internal memory. Note that PMREMGenerator is a static class,\n\t * so you should not need more than one PMREMGenerator object. If you do, calling dispose() on\n\t * one of them will cause any others to also become unusable.\n\t */\n\tdispose() {\n\n\t\tthis._dispose();\n\n\t\tif ( this._cubemapMaterial !== null ) this._cubemapMaterial.dispose();\n\t\tif ( this._equirectMaterial !== null ) this._equirectMaterial.dispose();\n\n\t}\n\n\t// private interface\n\n\t_setSize( cubeSize ) {\n\n\t\tthis._lodMax = Math.floor( Math.log2( cubeSize ) );\n\t\tthis._cubeSize = Math.pow( 2, this._lodMax );\n\n\t}\n\n\t_dispose() {\n\n\t\tif ( this._blurMaterial !== null ) this._blurMaterial.dispose();\n\n\t\tif ( this._pingPongRenderTarget !== null ) this._pingPongRenderTarget.dispose();\n\n\t\tfor ( let i = 0; i < this._lodPlanes.length; i ++ ) {\n\n\t\t\tthis._lodPlanes[ i ].dispose();\n\n\t\t}\n\n\t}\n\n\t_cleanup( outputTarget ) {\n\n\t\tthis._renderer.setRenderTarget( _oldTarget, _oldActiveCubeFace, _oldActiveMipmapLevel );\n\t\toutputTarget.scissorTest = false;\n\t\t_setViewport( outputTarget, 0, 0, outputTarget.width, outputTarget.height );\n\n\t}\n\n\t_fromTexture( texture, renderTarget ) {\n\n\t\tif ( texture.mapping === CubeReflectionMapping || texture.mapping === CubeRefractionMapping ) {\n\n\t\t\tthis._setSize( texture.image.length === 0 ? 16 : ( texture.image[ 0 ].width || texture.image[ 0 ].image.width ) );\n\n\t\t} else { // Equirectangular\n\n\t\t\tthis._setSize( texture.image.width / 4 );\n\n\t\t}\n\n\t\t_oldTarget = this._renderer.getRenderTarget();\n\t\t_oldActiveCubeFace = this._renderer.getActiveCubeFace();\n\t\t_oldActiveMipmapLevel = this._renderer.getActiveMipmapLevel();\n\n\t\tconst cubeUVRenderTarget = renderTarget || this._allocateTargets();\n\t\tthis._textureToCubeUV( texture, cubeUVRenderTarget );\n\t\tthis._applyPMREM( cubeUVRenderTarget );\n\t\tthis._cleanup( cubeUVRenderTarget );\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t_allocateTargets() {\n\n\t\tconst width = 3 * Math.max( this._cubeSize, 16 * 7 );\n\t\tconst height = 4 * this._cubeSize;\n\n\t\tconst params = {\n\t\t\tmagFilter: LinearFilter,\n\t\t\tminFilter: LinearFilter,\n\t\t\tgenerateMipmaps: false,\n\t\t\ttype: HalfFloatType,\n\t\t\tformat: RGBAFormat,\n\t\t\tcolorSpace: LinearSRGBColorSpace,\n\t\t\tdepthBuffer: false\n\t\t};\n\n\t\tconst cubeUVRenderTarget = _createRenderTarget( width, height, params );\n\n\t\tif ( this._pingPongRenderTarget === null || this._pingPongRenderTarget.width !== width || this._pingPongRenderTarget.height !== height ) {\n\n\t\t\tif ( this._pingPongRenderTarget !== null ) {\n\n\t\t\t\tthis._dispose();\n\n\t\t\t}\n\n\t\t\tthis._pingPongRenderTarget = _createRenderTarget( width, height, params );\n\n\t\t\tconst { _lodMax } = this;\n\t\t\t( { sizeLods: this._sizeLods, lodPlanes: this._lodPlanes, sigmas: this._sigmas } = _createPlanes( _lodMax ) );\n\n\t\t\tthis._blurMaterial = _getBlurShader( _lodMax, width, height );\n\n\t\t}\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t_compileMaterial( material ) {\n\n\t\tconst tmpMesh = new Mesh( this._lodPlanes[ 0 ], material );\n\t\tthis._renderer.compile( tmpMesh, _flatCamera );\n\n\t}\n\n\t_sceneToCubeUV( scene, near, far, cubeUVRenderTarget ) {\n\n\t\tconst fov = 90;\n\t\tconst aspect = 1;\n\t\tconst cubeCamera = new PerspectiveCamera( fov, aspect, near, far );\n\t\tconst upSign = [ 1, - 1, 1, 1, 1, 1 ];\n\t\tconst forwardSign = [ 1, 1, 1, - 1, - 1, - 1 ];\n\t\tconst renderer = this._renderer;\n\n\t\tconst originalAutoClear = renderer.autoClear;\n\t\tconst toneMapping = renderer.toneMapping;\n\t\trenderer.getClearColor( _clearColor );\n\n\t\trenderer.toneMapping = NoToneMapping;\n\t\trenderer.autoClear = false;\n\n\t\tconst backgroundMaterial = new MeshBasicMaterial( {\n\t\t\tname: 'PMREM.Background',\n\t\t\tside: BackSide,\n\t\t\tdepthWrite: false,\n\t\t\tdepthTest: false,\n\t\t} );\n\n\t\tconst backgroundBox = new Mesh( new BoxGeometry(), backgroundMaterial );\n\n\t\tlet useSolidColor = false;\n\t\tconst background = scene.background;\n\n\t\tif ( background ) {\n\n\t\t\tif ( background.isColor ) {\n\n\t\t\t\tbackgroundMaterial.color.copy( background );\n\t\t\t\tscene.background = null;\n\t\t\t\tuseSolidColor = true;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tbackgroundMaterial.color.copy( _clearColor );\n\t\t\tuseSolidColor = true;\n\n\t\t}\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst col = i % 3;\n\n\t\t\tif ( col === 0 ) {\n\n\t\t\t\tcubeCamera.up.set( 0, upSign[ i ], 0 );\n\t\t\t\tcubeCamera.lookAt( forwardSign[ i ], 0, 0 );\n\n\t\t\t} else if ( col === 1 ) {\n\n\t\t\t\tcubeCamera.up.set( 0, 0, upSign[ i ] );\n\t\t\t\tcubeCamera.lookAt( 0, forwardSign[ i ], 0 );\n\n\t\t\t} else {\n\n\t\t\t\tcubeCamera.up.set( 0, upSign[ i ], 0 );\n\t\t\t\tcubeCamera.lookAt( 0, 0, forwardSign[ i ] );\n\n\t\t\t}\n\n\t\t\tconst size = this._cubeSize;\n\n\t\t\t_setViewport( cubeUVRenderTarget, col * size, i > 2 ? size : 0, size, size );\n\n\t\t\trenderer.setRenderTarget( cubeUVRenderTarget );\n\n\t\t\tif ( useSolidColor ) {\n\n\t\t\t\trenderer.render( backgroundBox, cubeCamera );\n\n\t\t\t}\n\n\t\t\trenderer.render( scene, cubeCamera );\n\n\t\t}\n\n\t\tbackgroundBox.geometry.dispose();\n\t\tbackgroundBox.material.dispose();\n\n\t\trenderer.toneMapping = toneMapping;\n\t\trenderer.autoClear = originalAutoClear;\n\t\tscene.background = background;\n\n\t}\n\n\t_textureToCubeUV( texture, cubeUVRenderTarget ) {\n\n\t\tconst renderer = this._renderer;\n\n\t\tconst isCubeTexture = ( texture.mapping === CubeReflectionMapping || texture.mapping === CubeRefractionMapping );\n\n\t\tif ( isCubeTexture ) {\n\n\t\t\tif ( this._cubemapMaterial === null ) {\n\n\t\t\t\tthis._cubemapMaterial = _getCubemapMaterial();\n\n\t\t\t}\n\n\t\t\tthis._cubemapMaterial.uniforms.flipEnvMap.value = ( texture.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t} else {\n\n\t\t\tif ( this._equirectMaterial === null ) {\n\n\t\t\t\tthis._equirectMaterial = _getEquirectMaterial();\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst material = isCubeTexture ? this._cubemapMaterial : this._equirectMaterial;\n\t\tconst mesh = new Mesh( this._lodPlanes[ 0 ], material );\n\n\t\tconst uniforms = material.uniforms;\n\n\t\tuniforms[ 'envMap' ].value = texture;\n\n\t\tconst size = this._cubeSize;\n\n\t\t_setViewport( cubeUVRenderTarget, 0, 0, 3 * size, 2 * size );\n\n\t\trenderer.setRenderTarget( cubeUVRenderTarget );\n\t\trenderer.render( mesh, _flatCamera );\n\n\t}\n\n\t_applyPMREM( cubeUVRenderTarget ) {\n\n\t\tconst renderer = this._renderer;\n\t\tconst autoClear = renderer.autoClear;\n\t\trenderer.autoClear = false;\n\n\t\tfor ( let i = 1; i < this._lodPlanes.length; i ++ ) {\n\n\t\t\tconst sigma = Math.sqrt( this._sigmas[ i ] * this._sigmas[ i ] - this._sigmas[ i - 1 ] * this._sigmas[ i - 1 ] );\n\n\t\t\tconst poleAxis = _axisDirections[ ( i - 1 ) % _axisDirections.length ];\n\n\t\t\tthis._blur( cubeUVRenderTarget, i - 1, i, sigma, poleAxis );\n\n\t\t}\n\n\t\trenderer.autoClear = autoClear;\n\n\t}\n\n\t/**\n\t * This is a two-pass Gaussian blur for a cubemap. Normally this is done\n\t * vertically and horizontally, but this breaks down on a cube. Here we apply\n\t * the blur latitudinally (around the poles), and then longitudinally (towards\n\t * the poles) to approximate the orthogonally-separable blur. It is least\n\t * accurate at the poles, but still does a decent job.\n\t */\n\t_blur( cubeUVRenderTarget, lodIn, lodOut, sigma, poleAxis ) {\n\n\t\tconst pingPongRenderTarget = this._pingPongRenderTarget;\n\n\t\tthis._halfBlur(\n\t\t\tcubeUVRenderTarget,\n\t\t\tpingPongRenderTarget,\n\t\t\tlodIn,\n\t\t\tlodOut,\n\t\t\tsigma,\n\t\t\t'latitudinal',\n\t\t\tpoleAxis );\n\n\t\tthis._halfBlur(\n\t\t\tpingPongRenderTarget,\n\t\t\tcubeUVRenderTarget,\n\t\t\tlodOut,\n\t\t\tlodOut,\n\t\t\tsigma,\n\t\t\t'longitudinal',\n\t\t\tpoleAxis );\n\n\t}\n\n\t_halfBlur( targetIn, targetOut, lodIn, lodOut, sigmaRadians, direction, poleAxis ) {\n\n\t\tconst renderer = this._renderer;\n\t\tconst blurMaterial = this._blurMaterial;\n\n\t\tif ( direction !== 'latitudinal' && direction !== 'longitudinal' ) {\n\n\t\t\tconsole.error(\n\t\t\t\t'blur direction must be either latitudinal or longitudinal!' );\n\n\t\t}\n\n\t\t// Number of standard deviations at which to cut off the discrete approximation.\n\t\tconst STANDARD_DEVIATIONS = 3;\n\n\t\tconst blurMesh = new Mesh( this._lodPlanes[ lodOut ], blurMaterial );\n\t\tconst blurUniforms = blurMaterial.uniforms;\n\n\t\tconst pixels = this._sizeLods[ lodIn ] - 1;\n\t\tconst radiansPerPixel = isFinite( sigmaRadians ) ? Math.PI / ( 2 * pixels ) : 2 * Math.PI / ( 2 * MAX_SAMPLES - 1 );\n\t\tconst sigmaPixels = sigmaRadians / radiansPerPixel;\n\t\tconst samples = isFinite( sigmaRadians ) ? 1 + Math.floor( STANDARD_DEVIATIONS * sigmaPixels ) : MAX_SAMPLES;\n\n\t\tif ( samples > MAX_SAMPLES ) {\n\n\t\t\tconsole.warn( `sigmaRadians, ${\n\t\t\t\tsigmaRadians}, is too large and will clip, as it requested ${\n\t\t\t\tsamples} samples when the maximum is set to ${MAX_SAMPLES}` );\n\n\t\t}\n\n\t\tconst weights = [];\n\t\tlet sum = 0;\n\n\t\tfor ( let i = 0; i < MAX_SAMPLES; ++ i ) {\n\n\t\t\tconst x = i / sigmaPixels;\n\t\t\tconst weight = Math.exp( - x * x / 2 );\n\t\t\tweights.push( weight );\n\n\t\t\tif ( i === 0 ) {\n\n\t\t\t\tsum += weight;\n\n\t\t\t} else if ( i < samples ) {\n\n\t\t\t\tsum += 2 * weight;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfor ( let i = 0; i < weights.length; i ++ ) {\n\n\t\t\tweights[ i ] = weights[ i ] / sum;\n\n\t\t}\n\n\t\tblurUniforms[ 'envMap' ].value = targetIn.texture;\n\t\tblurUniforms[ 'samples' ].value = samples;\n\t\tblurUniforms[ 'weights' ].value = weights;\n\t\tblurUniforms[ 'latitudinal' ].value = direction === 'latitudinal';\n\n\t\tif ( poleAxis ) {\n\n\t\t\tblurUniforms[ 'poleAxis' ].value = poleAxis;\n\n\t\t}\n\n\t\tconst { _lodMax } = this;\n\t\tblurUniforms[ 'dTheta' ].value = radiansPerPixel;\n\t\tblurUniforms[ 'mipInt' ].value = _lodMax - lodIn;\n\n\t\tconst outputSize = this._sizeLods[ lodOut ];\n\t\tconst x = 3 * outputSize * ( lodOut > _lodMax - LOD_MIN ? lodOut - _lodMax + LOD_MIN : 0 );\n\t\tconst y = 4 * ( this._cubeSize - outputSize );\n\n\t\t_setViewport( targetOut, x, y, 3 * outputSize, 2 * outputSize );\n\t\trenderer.setRenderTarget( targetOut );\n\t\trenderer.render( blurMesh, _flatCamera );\n\n\t}\n\n}\n\n\n\nfunction _createPlanes( lodMax ) {\n\n\tconst lodPlanes = [];\n\tconst sizeLods = [];\n\tconst sigmas = [];\n\n\tlet lod = lodMax;\n\n\tconst totalLods = lodMax - LOD_MIN + 1 + EXTRA_LOD_SIGMA.length;\n\n\tfor ( let i = 0; i < totalLods; i ++ ) {\n\n\t\tconst sizeLod = Math.pow( 2, lod );\n\t\tsizeLods.push( sizeLod );\n\t\tlet sigma = 1.0 / sizeLod;\n\n\t\tif ( i > lodMax - LOD_MIN ) {\n\n\t\t\tsigma = EXTRA_LOD_SIGMA[ i - lodMax + LOD_MIN - 1 ];\n\n\t\t} else if ( i === 0 ) {\n\n\t\t\tsigma = 0;\n\n\t\t}\n\n\t\tsigmas.push( sigma );\n\n\t\tconst texelSize = 1.0 / ( sizeLod - 2 );\n\t\tconst min = - texelSize;\n\t\tconst max = 1 + texelSize;\n\t\tconst uv1 = [ min, min, max, min, max, max, min, min, max, max, min, max ];\n\n\t\tconst cubeFaces = 6;\n\t\tconst vertices = 6;\n\t\tconst positionSize = 3;\n\t\tconst uvSize = 2;\n\t\tconst faceIndexSize = 1;\n\n\t\tconst position = new Float32Array( positionSize * vertices * cubeFaces );\n\t\tconst uv = new Float32Array( uvSize * vertices * cubeFaces );\n\t\tconst faceIndex = new Float32Array( faceIndexSize * vertices * cubeFaces );\n\n\t\tfor ( let face = 0; face < cubeFaces; face ++ ) {\n\n\t\t\tconst x = ( face % 3 ) * 2 / 3 - 1;\n\t\t\tconst y = face > 2 ? 0 : - 1;\n\t\t\tconst coordinates = [\n\t\t\t\tx, y, 0,\n\t\t\t\tx + 2 / 3, y, 0,\n\t\t\t\tx + 2 / 3, y + 1, 0,\n\t\t\t\tx, y, 0,\n\t\t\t\tx + 2 / 3, y + 1, 0,\n\t\t\t\tx, y + 1, 0\n\t\t\t];\n\t\t\tposition.set( coordinates, positionSize * vertices * face );\n\t\t\tuv.set( uv1, uvSize * vertices * face );\n\t\t\tconst fill = [ face, face, face, face, face, face ];\n\t\t\tfaceIndex.set( fill, faceIndexSize * vertices * face );\n\n\t\t}\n\n\t\tconst planes = new BufferGeometry();\n\t\tplanes.setAttribute( 'position', new BufferAttribute( position, positionSize ) );\n\t\tplanes.setAttribute( 'uv', new BufferAttribute( uv, uvSize ) );\n\t\tplanes.setAttribute( 'faceIndex', new BufferAttribute( faceIndex, faceIndexSize ) );\n\t\tlodPlanes.push( planes );\n\n\t\tif ( lod > LOD_MIN ) {\n\n\t\t\tlod --;\n\n\t\t}\n\n\t}\n\n\treturn { lodPlanes, sizeLods, sigmas };\n\n}\n\nfunction _createRenderTarget( width, height, params ) {\n\n\tconst cubeUVRenderTarget = new WebGLRenderTarget( width, height, params );\n\tcubeUVRenderTarget.texture.mapping = CubeUVReflectionMapping;\n\tcubeUVRenderTarget.texture.name = 'PMREM.cubeUv';\n\tcubeUVRenderTarget.scissorTest = true;\n\treturn cubeUVRenderTarget;\n\n}\n\nfunction _setViewport( target, x, y, width, height ) {\n\n\ttarget.viewport.set( x, y, width, height );\n\ttarget.scissor.set( x, y, width, height );\n\n}\n\nfunction _getBlurShader( lodMax, width, height ) {\n\n\tconst weights = new Float32Array( MAX_SAMPLES );\n\tconst poleAxis = new Vector3( 0, 1, 0 );\n\tconst shaderMaterial = new ShaderMaterial( {\n\n\t\tname: 'SphericalGaussianBlur',\n\n\t\tdefines: {\n\t\t\t'n': MAX_SAMPLES,\n\t\t\t'CUBEUV_TEXEL_WIDTH': 1.0 / width,\n\t\t\t'CUBEUV_TEXEL_HEIGHT': 1.0 / height,\n\t\t\t'CUBEUV_MAX_MIP': `${lodMax}.0`,\n\t\t},\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null },\n\t\t\t'samples': { value: 1 },\n\t\t\t'weights': { value: weights },\n\t\t\t'latitudinal': { value: false },\n\t\t\t'dTheta': { value: 0 },\n\t\t\t'mipInt': { value: 0 },\n\t\t\t'poleAxis': { value: poleAxis }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform sampler2D envMap;\n\t\t\tuniform int samples;\n\t\t\tuniform float weights[ n ];\n\t\t\tuniform bool latitudinal;\n\t\t\tuniform float dTheta;\n\t\t\tuniform float mipInt;\n\t\t\tuniform vec3 poleAxis;\n\n\t\t\t#define ENVMAP_TYPE_CUBE_UV\n\t\t\t#include \n\n\t\t\tvec3 getSample( float theta, vec3 axis ) {\n\n\t\t\t\tfloat cosTheta = cos( theta );\n\t\t\t\t// Rodrigues' axis-angle rotation\n\t\t\t\tvec3 sampleDirection = vOutputDirection * cosTheta\n\t\t\t\t\t+ cross( axis, vOutputDirection ) * sin( theta )\n\t\t\t\t\t+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );\n\n\t\t\t\treturn bilinearCubeUV( envMap, sampleDirection, mipInt );\n\n\t\t\t}\n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );\n\n\t\t\t\tif ( all( equal( axis, vec3( 0.0 ) ) ) ) {\n\n\t\t\t\t\taxis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );\n\n\t\t\t\t}\n\n\t\t\t\taxis = normalize( axis );\n\n\t\t\t\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\n\t\t\t\tgl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );\n\n\t\t\t\tfor ( int i = 1; i < n; i++ ) {\n\n\t\t\t\t\tif ( i >= samples ) {\n\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfloat theta = dTheta * float( i );\n\t\t\t\t\tgl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );\n\t\t\t\t\tgl_FragColor.rgb += weights[ i ] * getSample( theta, axis );\n\n\t\t\t\t}\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n\treturn shaderMaterial;\n\n}\n\nfunction _getEquirectMaterial() {\n\n\treturn new ShaderMaterial( {\n\n\t\tname: 'EquirectangularToCubeUV',\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform sampler2D envMap;\n\n\t\t\t#include \n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 outputDirection = normalize( vOutputDirection );\n\t\t\t\tvec2 uv = equirectUv( outputDirection );\n\n\t\t\t\tgl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 );\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n}\n\nfunction _getCubemapMaterial() {\n\n\treturn new ShaderMaterial( {\n\n\t\tname: 'CubemapToCubeUV',\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null },\n\t\t\t'flipEnvMap': { value: - 1 }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tuniform float flipEnvMap;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform samplerCube envMap;\n\n\t\t\tvoid main() {\n\n\t\t\t\tgl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) );\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n}\n\nfunction _getCommonVertexShader() {\n\n\treturn /* glsl */`\n\n\t\tprecision mediump float;\n\t\tprecision mediump int;\n\n\t\tattribute float faceIndex;\n\n\t\tvarying vec3 vOutputDirection;\n\n\t\t// RH coordinate system; PMREM face-indexing convention\n\t\tvec3 getDirection( vec2 uv, float face ) {\n\n\t\t\tuv = 2.0 * uv - 1.0;\n\n\t\t\tvec3 direction = vec3( uv, 1.0 );\n\n\t\t\tif ( face == 0.0 ) {\n\n\t\t\t\tdirection = direction.zyx; // ( 1, v, u ) pos x\n\n\t\t\t} else if ( face == 1.0 ) {\n\n\t\t\t\tdirection = direction.xzy;\n\t\t\t\tdirection.xz *= -1.0; // ( -u, 1, -v ) pos y\n\n\t\t\t} else if ( face == 2.0 ) {\n\n\t\t\t\tdirection.x *= -1.0; // ( -u, v, 1 ) pos z\n\n\t\t\t} else if ( face == 3.0 ) {\n\n\t\t\t\tdirection = direction.zyx;\n\t\t\t\tdirection.xz *= -1.0; // ( -1, v, -u ) neg x\n\n\t\t\t} else if ( face == 4.0 ) {\n\n\t\t\t\tdirection = direction.xzy;\n\t\t\t\tdirection.xy *= -1.0; // ( -u, -1, v ) neg y\n\n\t\t\t} else if ( face == 5.0 ) {\n\n\t\t\t\tdirection.z *= -1.0; // ( u, v, -1 ) neg z\n\n\t\t\t}\n\n\t\t\treturn direction;\n\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvOutputDirection = getDirection( uv, faceIndex );\n\t\t\tgl_Position = vec4( position, 1.0 );\n\n\t\t}\n\t`;\n\n}\n\nfunction WebGLCubeUVMaps( renderer ) {\n\n\tlet cubeUVmaps = new WeakMap();\n\n\tlet pmremGenerator = null;\n\n\tfunction get( texture ) {\n\n\t\tif ( texture && texture.isTexture ) {\n\n\t\t\tconst mapping = texture.mapping;\n\n\t\t\tconst isEquirectMap = ( mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping );\n\t\t\tconst isCubeMap = ( mapping === CubeReflectionMapping || mapping === CubeRefractionMapping );\n\n\t\t\t// equirect/cube map to cubeUV conversion\n\n\t\t\tif ( isEquirectMap || isCubeMap ) {\n\n\t\t\t\tif ( texture.isRenderTargetTexture && texture.needsPMREMUpdate === true ) {\n\n\t\t\t\t\ttexture.needsPMREMUpdate = false;\n\n\t\t\t\t\tlet renderTarget = cubeUVmaps.get( texture );\n\n\t\t\t\t\tif ( pmremGenerator === null ) pmremGenerator = new PMREMGenerator( renderer );\n\n\t\t\t\t\trenderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular( texture, renderTarget ) : pmremGenerator.fromCubemap( texture, renderTarget );\n\t\t\t\t\tcubeUVmaps.set( texture, renderTarget );\n\n\t\t\t\t\treturn renderTarget.texture;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( cubeUVmaps.has( texture ) ) {\n\n\t\t\t\t\t\treturn cubeUVmaps.get( texture ).texture;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst image = texture.image;\n\n\t\t\t\t\t\tif ( ( isEquirectMap && image && image.height > 0 ) || ( isCubeMap && image && isCubeTextureComplete( image ) ) ) {\n\n\t\t\t\t\t\t\tif ( pmremGenerator === null ) pmremGenerator = new PMREMGenerator( renderer );\n\n\t\t\t\t\t\t\tconst renderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular( texture ) : pmremGenerator.fromCubemap( texture );\n\t\t\t\t\t\t\tcubeUVmaps.set( texture, renderTarget );\n\n\t\t\t\t\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t\t\t\t\t\treturn renderTarget.texture;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// image not yet ready. try the conversion next frame\n\n\t\t\t\t\t\t\treturn null;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction isCubeTextureComplete( image ) {\n\n\t\tlet count = 0;\n\t\tconst length = 6;\n\n\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\tif ( image[ i ] !== undefined ) count ++;\n\n\t\t}\n\n\t\treturn count === length;\n\n\n\t}\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tconst cubemapUV = cubeUVmaps.get( texture );\n\n\t\tif ( cubemapUV !== undefined ) {\n\n\t\t\tcubeUVmaps.delete( texture );\n\t\t\tcubemapUV.dispose();\n\n\t\t}\n\n\t}\n\n\tfunction dispose() {\n\n\t\tcubeUVmaps = new WeakMap();\n\n\t\tif ( pmremGenerator !== null ) {\n\n\t\t\tpmremGenerator.dispose();\n\t\t\tpmremGenerator = null;\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction WebGLExtensions( gl ) {\n\n\tconst extensions = {};\n\n\tfunction getExtension( name ) {\n\n\t\tif ( extensions[ name ] !== undefined ) {\n\n\t\t\treturn extensions[ name ];\n\n\t\t}\n\n\t\tlet extension;\n\n\t\tswitch ( name ) {\n\n\t\t\tcase 'WEBGL_depth_texture':\n\t\t\t\textension = gl.getExtension( 'WEBGL_depth_texture' ) || gl.getExtension( 'MOZ_WEBGL_depth_texture' ) || gl.getExtension( 'WEBKIT_WEBGL_depth_texture' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'EXT_texture_filter_anisotropic':\n\t\t\t\textension = gl.getExtension( 'EXT_texture_filter_anisotropic' ) || gl.getExtension( 'MOZ_EXT_texture_filter_anisotropic' ) || gl.getExtension( 'WEBKIT_EXT_texture_filter_anisotropic' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'WEBGL_compressed_texture_s3tc':\n\t\t\t\textension = gl.getExtension( 'WEBGL_compressed_texture_s3tc' ) || gl.getExtension( 'MOZ_WEBGL_compressed_texture_s3tc' ) || gl.getExtension( 'WEBKIT_WEBGL_compressed_texture_s3tc' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'WEBGL_compressed_texture_pvrtc':\n\t\t\t\textension = gl.getExtension( 'WEBGL_compressed_texture_pvrtc' ) || gl.getExtension( 'WEBKIT_WEBGL_compressed_texture_pvrtc' );\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\textension = gl.getExtension( name );\n\n\t\t}\n\n\t\textensions[ name ] = extension;\n\n\t\treturn extension;\n\n\t}\n\n\treturn {\n\n\t\thas: function ( name ) {\n\n\t\t\treturn getExtension( name ) !== null;\n\n\t\t},\n\n\t\tinit: function ( capabilities ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\tgetExtension( 'EXT_color_buffer_float' );\n\t\t\t\tgetExtension( 'WEBGL_clip_cull_distance' );\n\n\t\t\t} else {\n\n\t\t\t\tgetExtension( 'WEBGL_depth_texture' );\n\t\t\t\tgetExtension( 'OES_texture_float' );\n\t\t\t\tgetExtension( 'OES_texture_half_float' );\n\t\t\t\tgetExtension( 'OES_texture_half_float_linear' );\n\t\t\t\tgetExtension( 'OES_standard_derivatives' );\n\t\t\t\tgetExtension( 'OES_element_index_uint' );\n\t\t\t\tgetExtension( 'OES_vertex_array_object' );\n\t\t\t\tgetExtension( 'ANGLE_instanced_arrays' );\n\n\t\t\t}\n\n\t\t\tgetExtension( 'OES_texture_float_linear' );\n\t\t\tgetExtension( 'EXT_color_buffer_half_float' );\n\t\t\tgetExtension( 'WEBGL_multisampled_render_to_texture' );\n\n\t\t},\n\n\t\tget: function ( name ) {\n\n\t\t\tconst extension = getExtension( name );\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: ' + name + ' extension not supported.' );\n\n\t\t\t}\n\n\t\t\treturn extension;\n\n\t\t}\n\n\t};\n\n}\n\nfunction WebGLGeometries( gl, attributes, info, bindingStates ) {\n\n\tconst geometries = {};\n\tconst wireframeAttributes = new WeakMap();\n\n\tfunction onGeometryDispose( event ) {\n\n\t\tconst geometry = event.target;\n\n\t\tif ( geometry.index !== null ) {\n\n\t\t\tattributes.remove( geometry.index );\n\n\t\t}\n\n\t\tfor ( const name in geometry.attributes ) {\n\n\t\t\tattributes.remove( geometry.attributes[ name ] );\n\n\t\t}\n\n\t\tfor ( const name in geometry.morphAttributes ) {\n\n\t\t\tconst array = geometry.morphAttributes[ name ];\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tattributes.remove( array[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.removeEventListener( 'dispose', onGeometryDispose );\n\n\t\tdelete geometries[ geometry.id ];\n\n\t\tconst attribute = wireframeAttributes.get( geometry );\n\n\t\tif ( attribute ) {\n\n\t\t\tattributes.remove( attribute );\n\t\t\twireframeAttributes.delete( geometry );\n\n\t\t}\n\n\t\tbindingStates.releaseStatesOfGeometry( geometry );\n\n\t\tif ( geometry.isInstancedBufferGeometry === true ) {\n\n\t\t\tdelete geometry._maxInstanceCount;\n\n\t\t}\n\n\t\t//\n\n\t\tinfo.memory.geometries --;\n\n\t}\n\n\tfunction get( object, geometry ) {\n\n\t\tif ( geometries[ geometry.id ] === true ) return geometry;\n\n\t\tgeometry.addEventListener( 'dispose', onGeometryDispose );\n\n\t\tgeometries[ geometry.id ] = true;\n\n\t\tinfo.memory.geometries ++;\n\n\t\treturn geometry;\n\n\t}\n\n\tfunction update( geometry ) {\n\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\t// Updating index buffer in VAO now. See WebGLBindingStates.\n\n\t\tfor ( const name in geometryAttributes ) {\n\n\t\t\tattributes.update( geometryAttributes[ name ], gl.ARRAY_BUFFER );\n\n\t\t}\n\n\t\t// morph targets\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst array = morphAttributes[ name ];\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tattributes.update( array[ i ], gl.ARRAY_BUFFER );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction updateWireframeAttribute( geometry ) {\n\n\t\tconst indices = [];\n\n\t\tconst geometryIndex = geometry.index;\n\t\tconst geometryPosition = geometry.attributes.position;\n\t\tlet version = 0;\n\n\t\tif ( geometryIndex !== null ) {\n\n\t\t\tconst array = geometryIndex.array;\n\t\t\tversion = geometryIndex.version;\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i += 3 ) {\n\n\t\t\t\tconst a = array[ i + 0 ];\n\t\t\t\tconst b = array[ i + 1 ];\n\t\t\t\tconst c = array[ i + 2 ];\n\n\t\t\t\tindices.push( a, b, b, c, c, a );\n\n\t\t\t}\n\n\t\t} else if ( geometryPosition !== undefined ) {\n\n\t\t\tconst array = geometryPosition.array;\n\t\t\tversion = geometryPosition.version;\n\n\t\t\tfor ( let i = 0, l = ( array.length / 3 ) - 1; i < l; i += 3 ) {\n\n\t\t\t\tconst a = i + 0;\n\t\t\t\tconst b = i + 1;\n\t\t\t\tconst c = i + 2;\n\n\t\t\t\tindices.push( a, b, b, c, c, a );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst attribute = new ( arrayNeedsUint32( indices ) ? Uint32BufferAttribute : Uint16BufferAttribute )( indices, 1 );\n\t\tattribute.version = version;\n\n\t\t// Updating index buffer in VAO now. See WebGLBindingStates\n\n\t\t//\n\n\t\tconst previousAttribute = wireframeAttributes.get( geometry );\n\n\t\tif ( previousAttribute ) attributes.remove( previousAttribute );\n\n\t\t//\n\n\t\twireframeAttributes.set( geometry, attribute );\n\n\t}\n\n\tfunction getWireframeAttribute( geometry ) {\n\n\t\tconst currentAttribute = wireframeAttributes.get( geometry );\n\n\t\tif ( currentAttribute ) {\n\n\t\t\tconst geometryIndex = geometry.index;\n\n\t\t\tif ( geometryIndex !== null ) {\n\n\t\t\t\t// if the attribute is obsolete, create a new one\n\n\t\t\t\tif ( currentAttribute.version < geometryIndex.version ) {\n\n\t\t\t\t\tupdateWireframeAttribute( geometry );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tupdateWireframeAttribute( geometry );\n\n\t\t}\n\n\t\treturn wireframeAttributes.get( geometry );\n\n\t}\n\n\treturn {\n\n\t\tget: get,\n\t\tupdate: update,\n\n\t\tgetWireframeAttribute: getWireframeAttribute\n\n\t};\n\n}\n\nfunction WebGLIndexedBufferRenderer( gl, extensions, info, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tlet mode;\n\n\tfunction setMode( value ) {\n\n\t\tmode = value;\n\n\t}\n\n\tlet type, bytesPerElement;\n\n\tfunction setIndex( value ) {\n\n\t\ttype = value.type;\n\t\tbytesPerElement = value.bytesPerElement;\n\n\t}\n\n\tfunction render( start, count ) {\n\n\t\tgl.drawElements( mode, count, type, start * bytesPerElement );\n\n\t\tinfo.update( count, mode, 1 );\n\n\t}\n\n\tfunction renderInstances( start, count, primcount ) {\n\n\t\tif ( primcount === 0 ) return;\n\n\t\tlet extension, methodName;\n\n\t\tif ( isWebGL2 ) {\n\n\t\t\textension = gl;\n\t\t\tmethodName = 'drawElementsInstanced';\n\n\t\t} else {\n\n\t\t\textension = extensions.get( 'ANGLE_instanced_arrays' );\n\t\t\tmethodName = 'drawElementsInstancedANGLE';\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\textension[ methodName ]( mode, count, type, start * bytesPerElement, primcount );\n\n\t\tinfo.update( count, mode, primcount );\n\n\t}\n\n\tfunction renderMultiDraw( starts, counts, drawCount ) {\n\n\t\tif ( drawCount === 0 ) return;\n\n\t\tconst extension = extensions.get( 'WEBGL_multi_draw' );\n\t\tif ( extension === null ) {\n\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\tthis.render( starts[ i ] / bytesPerElement, counts[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\textension.multiDrawElementsWEBGL( mode, counts, 0, type, starts, 0, drawCount );\n\n\t\t\tlet elementCount = 0;\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\telementCount += counts[ i ];\n\n\t\t\t}\n\n\t\t\tinfo.update( elementCount, mode, 1 );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tthis.setMode = setMode;\n\tthis.setIndex = setIndex;\n\tthis.render = render;\n\tthis.renderInstances = renderInstances;\n\tthis.renderMultiDraw = renderMultiDraw;\n\n}\n\nfunction WebGLInfo( gl ) {\n\n\tconst memory = {\n\t\tgeometries: 0,\n\t\ttextures: 0\n\t};\n\n\tconst render = {\n\t\tframe: 0,\n\t\tcalls: 0,\n\t\ttriangles: 0,\n\t\tpoints: 0,\n\t\tlines: 0\n\t};\n\n\tfunction update( count, mode, instanceCount ) {\n\n\t\trender.calls ++;\n\n\t\tswitch ( mode ) {\n\n\t\t\tcase gl.TRIANGLES:\n\t\t\t\trender.triangles += instanceCount * ( count / 3 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINES:\n\t\t\t\trender.lines += instanceCount * ( count / 2 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINE_STRIP:\n\t\t\t\trender.lines += instanceCount * ( count - 1 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINE_LOOP:\n\t\t\t\trender.lines += instanceCount * count;\n\t\t\t\tbreak;\n\n\t\t\tcase gl.POINTS:\n\t\t\t\trender.points += instanceCount * count;\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tconsole.error( 'THREE.WebGLInfo: Unknown draw mode:', mode );\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\tfunction reset() {\n\n\t\trender.calls = 0;\n\t\trender.triangles = 0;\n\t\trender.points = 0;\n\t\trender.lines = 0;\n\n\t}\n\n\treturn {\n\t\tmemory: memory,\n\t\trender: render,\n\t\tprograms: null,\n\t\tautoReset: true,\n\t\treset: reset,\n\t\tupdate: update\n\t};\n\n}\n\nfunction numericalSort( a, b ) {\n\n\treturn a[ 0 ] - b[ 0 ];\n\n}\n\nfunction absNumericalSort( a, b ) {\n\n\treturn Math.abs( b[ 1 ] ) - Math.abs( a[ 1 ] );\n\n}\n\nfunction WebGLMorphtargets( gl, capabilities, textures ) {\n\n\tconst influencesList = {};\n\tconst morphInfluences = new Float32Array( 8 );\n\tconst morphTextures = new WeakMap();\n\tconst morph = new Vector4();\n\n\tconst workInfluences = [];\n\n\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\tworkInfluences[ i ] = [ i, 0 ];\n\n\t}\n\n\tfunction update( object, geometry, program ) {\n\n\t\tconst objectInfluences = object.morphTargetInfluences;\n\n\t\tif ( capabilities.isWebGL2 === true ) {\n\n\t\t\t// instead of using attributes, the WebGL 2 code path encodes morph targets\n\t\t\t// into an array of data textures. Each layer represents a single morph target.\n\n\t\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\t\tlet entry = morphTextures.get( geometry );\n\n\t\t\tif ( entry === undefined || entry.count !== morphTargetsCount ) {\n\n\t\t\t\tif ( entry !== undefined ) entry.texture.dispose();\n\n\t\t\t\tconst hasMorphPosition = geometry.morphAttributes.position !== undefined;\n\t\t\t\tconst hasMorphNormals = geometry.morphAttributes.normal !== undefined;\n\t\t\t\tconst hasMorphColors = geometry.morphAttributes.color !== undefined;\n\n\t\t\t\tconst morphTargets = geometry.morphAttributes.position || [];\n\t\t\t\tconst morphNormals = geometry.morphAttributes.normal || [];\n\t\t\t\tconst morphColors = geometry.morphAttributes.color || [];\n\n\t\t\t\tlet vertexDataCount = 0;\n\n\t\t\t\tif ( hasMorphPosition === true ) vertexDataCount = 1;\n\t\t\t\tif ( hasMorphNormals === true ) vertexDataCount = 2;\n\t\t\t\tif ( hasMorphColors === true ) vertexDataCount = 3;\n\n\t\t\t\tlet width = geometry.attributes.position.count * vertexDataCount;\n\t\t\t\tlet height = 1;\n\n\t\t\t\tif ( width > capabilities.maxTextureSize ) {\n\n\t\t\t\t\theight = Math.ceil( width / capabilities.maxTextureSize );\n\t\t\t\t\twidth = capabilities.maxTextureSize;\n\n\t\t\t\t}\n\n\t\t\t\tconst buffer = new Float32Array( width * height * 4 * morphTargetsCount );\n\n\t\t\t\tconst texture = new DataArrayTexture( buffer, width, height, morphTargetsCount );\n\t\t\t\ttexture.type = FloatType;\n\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t// fill buffer\n\n\t\t\t\tconst vertexDataStride = vertexDataCount * 4;\n\n\t\t\t\tfor ( let i = 0; i < morphTargetsCount; i ++ ) {\n\n\t\t\t\t\tconst morphTarget = morphTargets[ i ];\n\t\t\t\t\tconst morphNormal = morphNormals[ i ];\n\t\t\t\t\tconst morphColor = morphColors[ i ];\n\n\t\t\t\t\tconst offset = width * height * 4 * i;\n\n\t\t\t\t\tfor ( let j = 0; j < morphTarget.count; j ++ ) {\n\n\t\t\t\t\t\tconst stride = j * vertexDataStride;\n\n\t\t\t\t\t\tif ( hasMorphPosition === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphTarget, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 0 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 1 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 2 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 3 ] = 0;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( hasMorphNormals === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphNormal, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 4 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 5 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 6 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 7 ] = 0;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( hasMorphColors === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphColor, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 8 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 9 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 10 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 11 ] = ( morphColor.itemSize === 4 ) ? morph.w : 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tentry = {\n\t\t\t\t\tcount: morphTargetsCount,\n\t\t\t\t\ttexture: texture,\n\t\t\t\t\tsize: new Vector2( width, height )\n\t\t\t\t};\n\n\t\t\t\tmorphTextures.set( geometry, entry );\n\n\t\t\t\tfunction disposeTexture() {\n\n\t\t\t\t\ttexture.dispose();\n\n\t\t\t\t\tmorphTextures.delete( geometry );\n\n\t\t\t\t\tgeometry.removeEventListener( 'dispose', disposeTexture );\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.addEventListener( 'dispose', disposeTexture );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet morphInfluencesSum = 0;\n\n\t\t\tfor ( let i = 0; i < objectInfluences.length; i ++ ) {\n\n\t\t\t\tmorphInfluencesSum += objectInfluences[ i ];\n\n\t\t\t}\n\n\t\t\tconst morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetBaseInfluence', morphBaseInfluence );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetInfluences', objectInfluences );\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetsTexture', entry.texture, textures );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetsTextureSize', entry.size );\n\n\n\t\t} else {\n\n\t\t\t// When object doesn't have morph target influences defined, we treat it as a 0-length array\n\t\t\t// This is important to make sure we set up morphTargetBaseInfluence / morphTargetInfluences\n\n\t\t\tconst length = objectInfluences === undefined ? 0 : objectInfluences.length;\n\n\t\t\tlet influences = influencesList[ geometry.id ];\n\n\t\t\tif ( influences === undefined || influences.length !== length ) {\n\n\t\t\t\t// initialise list\n\n\t\t\t\tinfluences = [];\n\n\t\t\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\t\t\tinfluences[ i ] = [ i, 0 ];\n\n\t\t\t\t}\n\n\t\t\t\tinfluencesList[ geometry.id ] = influences;\n\n\t\t\t}\n\n\t\t\t// Collect influences\n\n\t\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\t\tconst influence = influences[ i ];\n\n\t\t\t\tinfluence[ 0 ] = i;\n\t\t\t\tinfluence[ 1 ] = objectInfluences[ i ];\n\n\t\t\t}\n\n\t\t\tinfluences.sort( absNumericalSort );\n\n\t\t\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\t\t\tif ( i < length && influences[ i ][ 1 ] ) {\n\n\t\t\t\t\tworkInfluences[ i ][ 0 ] = influences[ i ][ 0 ];\n\t\t\t\t\tworkInfluences[ i ][ 1 ] = influences[ i ][ 1 ];\n\n\t\t\t\t} else {\n\n\t\t\t\t\tworkInfluences[ i ][ 0 ] = Number.MAX_SAFE_INTEGER;\n\t\t\t\t\tworkInfluences[ i ][ 1 ] = 0;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tworkInfluences.sort( numericalSort );\n\n\t\t\tconst morphTargets = geometry.morphAttributes.position;\n\t\t\tconst morphNormals = geometry.morphAttributes.normal;\n\n\t\t\tlet morphInfluencesSum = 0;\n\n\t\t\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\t\t\tconst influence = workInfluences[ i ];\n\t\t\t\tconst index = influence[ 0 ];\n\t\t\t\tconst value = influence[ 1 ];\n\n\t\t\t\tif ( index !== Number.MAX_SAFE_INTEGER && value ) {\n\n\t\t\t\t\tif ( morphTargets && geometry.getAttribute( 'morphTarget' + i ) !== morphTargets[ index ] ) {\n\n\t\t\t\t\t\tgeometry.setAttribute( 'morphTarget' + i, morphTargets[ index ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( morphNormals && geometry.getAttribute( 'morphNormal' + i ) !== morphNormals[ index ] ) {\n\n\t\t\t\t\t\tgeometry.setAttribute( 'morphNormal' + i, morphNormals[ index ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tmorphInfluences[ i ] = value;\n\t\t\t\t\tmorphInfluencesSum += value;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( morphTargets && geometry.hasAttribute( 'morphTarget' + i ) === true ) {\n\n\t\t\t\t\t\tgeometry.deleteAttribute( 'morphTarget' + i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( morphNormals && geometry.hasAttribute( 'morphNormal' + i ) === true ) {\n\n\t\t\t\t\t\tgeometry.deleteAttribute( 'morphNormal' + i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tmorphInfluences[ i ] = 0;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// GLSL shader uses formula baseinfluence * base + sum(target * influence)\n\t\t\t// This allows us to switch between absolute morphs and relative morphs without changing shader code\n\t\t\t// When baseinfluence = 1 - sum(influence), the above is equivalent to sum((target - base) * influence)\n\t\t\tconst morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetBaseInfluence', morphBaseInfluence );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetInfluences', morphInfluences );\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\tupdate: update\n\n\t};\n\n}\n\nfunction WebGLObjects( gl, geometries, attributes, info ) {\n\n\tlet updateMap = new WeakMap();\n\n\tfunction update( object ) {\n\n\t\tconst frame = info.render.frame;\n\n\t\tconst geometry = object.geometry;\n\t\tconst buffergeometry = geometries.get( object, geometry );\n\n\t\t// Update once per frame\n\n\t\tif ( updateMap.get( buffergeometry ) !== frame ) {\n\n\t\t\tgeometries.update( buffergeometry );\n\n\t\t\tupdateMap.set( buffergeometry, frame );\n\n\t\t}\n\n\t\tif ( object.isInstancedMesh ) {\n\n\t\t\tif ( object.hasEventListener( 'dispose', onInstancedMeshDispose ) === false ) {\n\n\t\t\t\tobject.addEventListener( 'dispose', onInstancedMeshDispose );\n\n\t\t\t}\n\n\t\t\tif ( updateMap.get( object ) !== frame ) {\n\n\t\t\t\tattributes.update( object.instanceMatrix, gl.ARRAY_BUFFER );\n\n\t\t\t\tif ( object.instanceColor !== null ) {\n\n\t\t\t\t\tattributes.update( object.instanceColor, gl.ARRAY_BUFFER );\n\n\t\t\t\t}\n\n\t\t\t\tupdateMap.set( object, frame );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( object.isSkinnedMesh ) {\n\n\t\t\tconst skeleton = object.skeleton;\n\n\t\t\tif ( updateMap.get( skeleton ) !== frame ) {\n\n\t\t\t\tskeleton.update();\n\n\t\t\t\tupdateMap.set( skeleton, frame );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn buffergeometry;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tupdateMap = new WeakMap();\n\n\t}\n\n\tfunction onInstancedMeshDispose( event ) {\n\n\t\tconst instancedMesh = event.target;\n\n\t\tinstancedMesh.removeEventListener( 'dispose', onInstancedMeshDispose );\n\n\t\tattributes.remove( instancedMesh.instanceMatrix );\n\n\t\tif ( instancedMesh.instanceColor !== null ) attributes.remove( instancedMesh.instanceColor );\n\n\t}\n\n\treturn {\n\n\t\tupdate: update,\n\t\tdispose: dispose\n\n\t};\n\n}\n\nclass DepthTexture extends Texture {\n\n\tconstructor( width, height, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, format ) {\n\n\t\tformat = format !== undefined ? format : DepthFormat;\n\n\t\tif ( format !== DepthFormat && format !== DepthStencilFormat ) {\n\n\t\t\tthrow new Error( 'DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat' );\n\n\t\t}\n\n\t\tif ( type === undefined && format === DepthFormat ) type = UnsignedIntType;\n\t\tif ( type === undefined && format === DepthStencilFormat ) type = UnsignedInt248Type;\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isDepthTexture = true;\n\n\t\tthis.image = { width: width, height: height };\n\n\t\tthis.magFilter = magFilter !== undefined ? magFilter : NearestFilter;\n\t\tthis.minFilter = minFilter !== undefined ? minFilter : NearestFilter;\n\n\t\tthis.flipY = false;\n\t\tthis.generateMipmaps = false;\n\n\t\tthis.compareFunction = null;\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.compareFunction = source.compareFunction;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.compareFunction !== null ) data.compareFunction = this.compareFunction;\n\n\t\treturn data;\n\n\t}\n\n}\n\n/**\n * Uniforms of a program.\n * Those form a tree structure with a special top-level container for the root,\n * which you get by calling 'new WebGLUniforms( gl, program )'.\n *\n *\n * Properties of inner nodes including the top-level container:\n *\n * .seq - array of nested uniforms\n * .map - nested uniforms by name\n *\n *\n * Methods of all nodes except the top-level container:\n *\n * .setValue( gl, value, [textures] )\n *\n * \t\tuploads a uniform value(s)\n * \tthe 'textures' parameter is needed for sampler uniforms\n *\n *\n * Static methods of the top-level container (textures factorizations):\n *\n * .upload( gl, seq, values, textures )\n *\n * \t\tsets uniforms in 'seq' to 'values[id].value'\n *\n * .seqWithValue( seq, values ) : filteredSeq\n *\n * \t\tfilters 'seq' entries with corresponding entry in values\n *\n *\n * Methods of the top-level container (textures factorizations):\n *\n * .setValue( gl, name, value, textures )\n *\n * \t\tsets uniform with name 'name' to 'value'\n *\n * .setOptional( gl, obj, prop )\n *\n * \t\tlike .set for an optional property of the object\n *\n */\n\n\nconst emptyTexture = /*@__PURE__*/ new Texture();\n\nconst emptyShadowTexture = /*@__PURE__*/ new DepthTexture( 1, 1 );\nemptyShadowTexture.compareFunction = LessEqualCompare;\n\nconst emptyArrayTexture = /*@__PURE__*/ new DataArrayTexture();\nconst empty3dTexture = /*@__PURE__*/ new Data3DTexture();\nconst emptyCubeTexture = /*@__PURE__*/ new CubeTexture();\n\n// --- Utilities ---\n\n// Array Caches (provide typed arrays for temporary by size)\n\nconst arrayCacheF32 = [];\nconst arrayCacheI32 = [];\n\n// Float32Array caches used for uploading Matrix uniforms\n\nconst mat4array = new Float32Array( 16 );\nconst mat3array = new Float32Array( 9 );\nconst mat2array = new Float32Array( 4 );\n\n// Flattening for arrays of vectors and matrices\n\nfunction flatten( array, nBlocks, blockSize ) {\n\n\tconst firstElem = array[ 0 ];\n\n\tif ( firstElem <= 0 || firstElem > 0 ) return array;\n\t// unoptimized: ! isNaN( firstElem )\n\t// see http://jacksondunstan.com/articles/983\n\n\tconst n = nBlocks * blockSize;\n\tlet r = arrayCacheF32[ n ];\n\n\tif ( r === undefined ) {\n\n\t\tr = new Float32Array( n );\n\t\tarrayCacheF32[ n ] = r;\n\n\t}\n\n\tif ( nBlocks !== 0 ) {\n\n\t\tfirstElem.toArray( r, 0 );\n\n\t\tfor ( let i = 1, offset = 0; i !== nBlocks; ++ i ) {\n\n\t\t\toffset += blockSize;\n\t\t\tarray[ i ].toArray( r, offset );\n\n\t\t}\n\n\t}\n\n\treturn r;\n\n}\n\nfunction arraysEqual( a, b ) {\n\n\tif ( a.length !== b.length ) return false;\n\n\tfor ( let i = 0, l = a.length; i < l; i ++ ) {\n\n\t\tif ( a[ i ] !== b[ i ] ) return false;\n\n\t}\n\n\treturn true;\n\n}\n\nfunction copyArray( a, b ) {\n\n\tfor ( let i = 0, l = b.length; i < l; i ++ ) {\n\n\t\ta[ i ] = b[ i ];\n\n\t}\n\n}\n\n// Texture unit allocation\n\nfunction allocTexUnits( textures, n ) {\n\n\tlet r = arrayCacheI32[ n ];\n\n\tif ( r === undefined ) {\n\n\t\tr = new Int32Array( n );\n\t\tarrayCacheI32[ n ] = r;\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\tr[ i ] = textures.allocateTextureUnit();\n\n\t}\n\n\treturn r;\n\n}\n\n// --- Setters ---\n\n// Note: Defining these methods externally, because they come in a bunch\n// and this way their names minify.\n\n// Single scalar\n\nfunction setValueV1f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1f( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single float vector (from flat array or THREE.VectorN)\n\nfunction setValueV2f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2f( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3f( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else if ( v.r !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.r || cache[ 1 ] !== v.g || cache[ 2 ] !== v.b ) {\n\n\t\t\tgl.uniform3f( this.addr, v.r, v.g, v.b );\n\n\t\t\tcache[ 0 ] = v.r;\n\t\t\tcache[ 1 ] = v.g;\n\t\t\tcache[ 2 ] = v.b;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4f( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n// Single matrix (from flat array or THREE.MatrixN)\n\nfunction setValueM2( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix2fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat2array.set( elements );\n\n\t\tgl.uniformMatrix2fv( this.addr, false, mat2array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\nfunction setValueM3( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix3fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat3array.set( elements );\n\n\t\tgl.uniformMatrix3fv( this.addr, false, mat3array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\nfunction setValueM4( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix4fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat4array.set( elements );\n\n\t\tgl.uniformMatrix4fv( this.addr, false, mat4array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\n// Single integer / boolean\n\nfunction setValueV1i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1i( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single integer / boolean vector (from flat array or THREE.VectorN)\n\nfunction setValueV2i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2i( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3i( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4i( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n// Single unsigned integer\n\nfunction setValueV1ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1ui( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single unsigned integer vector (from flat array or THREE.VectorN)\n\nfunction setValueV2ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2ui( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3ui( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4ui( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n\n// Single texture (2D / Cube)\n\nfunction setValueT1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\tconst emptyTexture2D = ( this.type === gl.SAMPLER_2D_SHADOW ) ? emptyShadowTexture : emptyTexture;\n\n\ttextures.setTexture2D( v || emptyTexture2D, unit );\n\n}\n\nfunction setValueT3D1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTexture3D( v || empty3dTexture, unit );\n\n}\n\nfunction setValueT6( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTextureCube( v || emptyCubeTexture, unit );\n\n}\n\nfunction setValueT2DArray1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTexture2DArray( v || emptyArrayTexture, unit );\n\n}\n\n// Helper to pick the right setter for the singular case\n\nfunction getSingularSetter( type ) {\n\n\tswitch ( type ) {\n\n\t\tcase 0x1406: return setValueV1f; // FLOAT\n\t\tcase 0x8b50: return setValueV2f; // _VEC2\n\t\tcase 0x8b51: return setValueV3f; // _VEC3\n\t\tcase 0x8b52: return setValueV4f; // _VEC4\n\n\t\tcase 0x8b5a: return setValueM2; // _MAT2\n\t\tcase 0x8b5b: return setValueM3; // _MAT3\n\t\tcase 0x8b5c: return setValueM4; // _MAT4\n\n\t\tcase 0x1404: case 0x8b56: return setValueV1i; // INT, BOOL\n\t\tcase 0x8b53: case 0x8b57: return setValueV2i; // _VEC2\n\t\tcase 0x8b54: case 0x8b58: return setValueV3i; // _VEC3\n\t\tcase 0x8b55: case 0x8b59: return setValueV4i; // _VEC4\n\n\t\tcase 0x1405: return setValueV1ui; // UINT\n\t\tcase 0x8dc6: return setValueV2ui; // _VEC2\n\t\tcase 0x8dc7: return setValueV3ui; // _VEC3\n\t\tcase 0x8dc8: return setValueV4ui; // _VEC4\n\n\t\tcase 0x8b5e: // SAMPLER_2D\n\t\tcase 0x8d66: // SAMPLER_EXTERNAL_OES\n\t\tcase 0x8dca: // INT_SAMPLER_2D\n\t\tcase 0x8dd2: // UNSIGNED_INT_SAMPLER_2D\n\t\tcase 0x8b62: // SAMPLER_2D_SHADOW\n\t\t\treturn setValueT1;\n\n\t\tcase 0x8b5f: // SAMPLER_3D\n\t\tcase 0x8dcb: // INT_SAMPLER_3D\n\t\tcase 0x8dd3: // UNSIGNED_INT_SAMPLER_3D\n\t\t\treturn setValueT3D1;\n\n\t\tcase 0x8b60: // SAMPLER_CUBE\n\t\tcase 0x8dcc: // INT_SAMPLER_CUBE\n\t\tcase 0x8dd4: // UNSIGNED_INT_SAMPLER_CUBE\n\t\tcase 0x8dc5: // SAMPLER_CUBE_SHADOW\n\t\t\treturn setValueT6;\n\n\t\tcase 0x8dc1: // SAMPLER_2D_ARRAY\n\t\tcase 0x8dcf: // INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dd7: // UNSIGNED_INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dc4: // SAMPLER_2D_ARRAY_SHADOW\n\t\t\treturn setValueT2DArray1;\n\n\t}\n\n}\n\n\n// Array of scalars\n\nfunction setValueV1fArray( gl, v ) {\n\n\tgl.uniform1fv( this.addr, v );\n\n}\n\n// Array of vectors (from flat array or array of THREE.VectorN)\n\nfunction setValueV2fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 2 );\n\n\tgl.uniform2fv( this.addr, data );\n\n}\n\nfunction setValueV3fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 3 );\n\n\tgl.uniform3fv( this.addr, data );\n\n}\n\nfunction setValueV4fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 4 );\n\n\tgl.uniform4fv( this.addr, data );\n\n}\n\n// Array of matrices (from flat array or array of THREE.MatrixN)\n\nfunction setValueM2Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 4 );\n\n\tgl.uniformMatrix2fv( this.addr, false, data );\n\n}\n\nfunction setValueM3Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 9 );\n\n\tgl.uniformMatrix3fv( this.addr, false, data );\n\n}\n\nfunction setValueM4Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 16 );\n\n\tgl.uniformMatrix4fv( this.addr, false, data );\n\n}\n\n// Array of integer / boolean\n\nfunction setValueV1iArray( gl, v ) {\n\n\tgl.uniform1iv( this.addr, v );\n\n}\n\n// Array of integer / boolean vectors (from flat array)\n\nfunction setValueV2iArray( gl, v ) {\n\n\tgl.uniform2iv( this.addr, v );\n\n}\n\nfunction setValueV3iArray( gl, v ) {\n\n\tgl.uniform3iv( this.addr, v );\n\n}\n\nfunction setValueV4iArray( gl, v ) {\n\n\tgl.uniform4iv( this.addr, v );\n\n}\n\n// Array of unsigned integer\n\nfunction setValueV1uiArray( gl, v ) {\n\n\tgl.uniform1uiv( this.addr, v );\n\n}\n\n// Array of unsigned integer vectors (from flat array)\n\nfunction setValueV2uiArray( gl, v ) {\n\n\tgl.uniform2uiv( this.addr, v );\n\n}\n\nfunction setValueV3uiArray( gl, v ) {\n\n\tgl.uniform3uiv( this.addr, v );\n\n}\n\nfunction setValueV4uiArray( gl, v ) {\n\n\tgl.uniform4uiv( this.addr, v );\n\n}\n\n\n// Array of textures (2D / 3D / Cube / 2DArray)\n\nfunction setValueT1Array( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture2D( v[ i ] || emptyTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT3DArray( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture3D( v[ i ] || empty3dTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT6Array( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTextureCube( v[ i ] || emptyCubeTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT2DArrayArray( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture2DArray( v[ i ] || emptyArrayTexture, units[ i ] );\n\n\t}\n\n}\n\n\n// Helper to pick the right setter for a pure (bottom-level) array\n\nfunction getPureArraySetter( type ) {\n\n\tswitch ( type ) {\n\n\t\tcase 0x1406: return setValueV1fArray; // FLOAT\n\t\tcase 0x8b50: return setValueV2fArray; // _VEC2\n\t\tcase 0x8b51: return setValueV3fArray; // _VEC3\n\t\tcase 0x8b52: return setValueV4fArray; // _VEC4\n\n\t\tcase 0x8b5a: return setValueM2Array; // _MAT2\n\t\tcase 0x8b5b: return setValueM3Array; // _MAT3\n\t\tcase 0x8b5c: return setValueM4Array; // _MAT4\n\n\t\tcase 0x1404: case 0x8b56: return setValueV1iArray; // INT, BOOL\n\t\tcase 0x8b53: case 0x8b57: return setValueV2iArray; // _VEC2\n\t\tcase 0x8b54: case 0x8b58: return setValueV3iArray; // _VEC3\n\t\tcase 0x8b55: case 0x8b59: return setValueV4iArray; // _VEC4\n\n\t\tcase 0x1405: return setValueV1uiArray; // UINT\n\t\tcase 0x8dc6: return setValueV2uiArray; // _VEC2\n\t\tcase 0x8dc7: return setValueV3uiArray; // _VEC3\n\t\tcase 0x8dc8: return setValueV4uiArray; // _VEC4\n\n\t\tcase 0x8b5e: // SAMPLER_2D\n\t\tcase 0x8d66: // SAMPLER_EXTERNAL_OES\n\t\tcase 0x8dca: // INT_SAMPLER_2D\n\t\tcase 0x8dd2: // UNSIGNED_INT_SAMPLER_2D\n\t\tcase 0x8b62: // SAMPLER_2D_SHADOW\n\t\t\treturn setValueT1Array;\n\n\t\tcase 0x8b5f: // SAMPLER_3D\n\t\tcase 0x8dcb: // INT_SAMPLER_3D\n\t\tcase 0x8dd3: // UNSIGNED_INT_SAMPLER_3D\n\t\t\treturn setValueT3DArray;\n\n\t\tcase 0x8b60: // SAMPLER_CUBE\n\t\tcase 0x8dcc: // INT_SAMPLER_CUBE\n\t\tcase 0x8dd4: // UNSIGNED_INT_SAMPLER_CUBE\n\t\tcase 0x8dc5: // SAMPLER_CUBE_SHADOW\n\t\t\treturn setValueT6Array;\n\n\t\tcase 0x8dc1: // SAMPLER_2D_ARRAY\n\t\tcase 0x8dcf: // INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dd7: // UNSIGNED_INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dc4: // SAMPLER_2D_ARRAY_SHADOW\n\t\t\treturn setValueT2DArrayArray;\n\n\t}\n\n}\n\n// --- Uniform Classes ---\n\nclass SingleUniform {\n\n\tconstructor( id, activeInfo, addr ) {\n\n\t\tthis.id = id;\n\t\tthis.addr = addr;\n\t\tthis.cache = [];\n\t\tthis.type = activeInfo.type;\n\t\tthis.setValue = getSingularSetter( activeInfo.type );\n\n\t\t// this.path = activeInfo.name; // DEBUG\n\n\t}\n\n}\n\nclass PureArrayUniform {\n\n\tconstructor( id, activeInfo, addr ) {\n\n\t\tthis.id = id;\n\t\tthis.addr = addr;\n\t\tthis.cache = [];\n\t\tthis.type = activeInfo.type;\n\t\tthis.size = activeInfo.size;\n\t\tthis.setValue = getPureArraySetter( activeInfo.type );\n\n\t\t// this.path = activeInfo.name; // DEBUG\n\n\t}\n\n}\n\nclass StructuredUniform {\n\n\tconstructor( id ) {\n\n\t\tthis.id = id;\n\n\t\tthis.seq = [];\n\t\tthis.map = {};\n\n\t}\n\n\tsetValue( gl, value, textures ) {\n\n\t\tconst seq = this.seq;\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ];\n\t\t\tu.setValue( gl, value[ u.id ], textures );\n\n\t\t}\n\n\t}\n\n}\n\n// --- Top-level ---\n\n// Parser - builds up the property tree from the path strings\n\nconst RePathPart = /(\\w+)(\\])?(\\[|\\.)?/g;\n\n// extracts\n// \t- the identifier (member name or array index)\n// - followed by an optional right bracket (found when array index)\n// - followed by an optional left bracket or dot (type of subscript)\n//\n// Note: These portions can be read in a non-overlapping fashion and\n// allow straightforward parsing of the hierarchy that WebGL encodes\n// in the uniform names.\n\nfunction addUniform( container, uniformObject ) {\n\n\tcontainer.seq.push( uniformObject );\n\tcontainer.map[ uniformObject.id ] = uniformObject;\n\n}\n\nfunction parseUniform( activeInfo, addr, container ) {\n\n\tconst path = activeInfo.name,\n\t\tpathLength = path.length;\n\n\t// reset RegExp object, because of the early exit of a previous run\n\tRePathPart.lastIndex = 0;\n\n\twhile ( true ) {\n\n\t\tconst match = RePathPart.exec( path ),\n\t\t\tmatchEnd = RePathPart.lastIndex;\n\n\t\tlet id = match[ 1 ];\n\t\tconst idIsIndex = match[ 2 ] === ']',\n\t\t\tsubscript = match[ 3 ];\n\n\t\tif ( idIsIndex ) id = id | 0; // convert to integer\n\n\t\tif ( subscript === undefined || subscript === '[' && matchEnd + 2 === pathLength ) {\n\n\t\t\t// bare name or \"pure\" bottom-level array \"[0]\" suffix\n\n\t\t\taddUniform( container, subscript === undefined ?\n\t\t\t\tnew SingleUniform( id, activeInfo, addr ) :\n\t\t\t\tnew PureArrayUniform( id, activeInfo, addr ) );\n\n\t\t\tbreak;\n\n\t\t} else {\n\n\t\t\t// step into inner node / create it in case it doesn't exist\n\n\t\t\tconst map = container.map;\n\t\t\tlet next = map[ id ];\n\n\t\t\tif ( next === undefined ) {\n\n\t\t\t\tnext = new StructuredUniform( id );\n\t\t\t\taddUniform( container, next );\n\n\t\t\t}\n\n\t\t\tcontainer = next;\n\n\t\t}\n\n\t}\n\n}\n\n// Root Container\n\nclass WebGLUniforms {\n\n\tconstructor( gl, program ) {\n\n\t\tthis.seq = [];\n\t\tthis.map = {};\n\n\t\tconst n = gl.getProgramParameter( program, gl.ACTIVE_UNIFORMS );\n\n\t\tfor ( let i = 0; i < n; ++ i ) {\n\n\t\t\tconst info = gl.getActiveUniform( program, i ),\n\t\t\t\taddr = gl.getUniformLocation( program, info.name );\n\n\t\t\tparseUniform( info, addr, this );\n\n\t\t}\n\n\t}\n\n\tsetValue( gl, name, value, textures ) {\n\n\t\tconst u = this.map[ name ];\n\n\t\tif ( u !== undefined ) u.setValue( gl, value, textures );\n\n\t}\n\n\tsetOptional( gl, object, name ) {\n\n\t\tconst v = object[ name ];\n\n\t\tif ( v !== undefined ) this.setValue( gl, name, v );\n\n\t}\n\n\tstatic upload( gl, seq, values, textures ) {\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ],\n\t\t\t\tv = values[ u.id ];\n\n\t\t\tif ( v.needsUpdate !== false ) {\n\n\t\t\t\t// note: always updating when .needsUpdate is undefined\n\t\t\t\tu.setValue( gl, v.value, textures );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tstatic seqWithValue( seq, values ) {\n\n\t\tconst r = [];\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ];\n\t\t\tif ( u.id in values ) r.push( u );\n\n\t\t}\n\n\t\treturn r;\n\n\t}\n\n}\n\nfunction WebGLShader( gl, type, string ) {\n\n\tconst shader = gl.createShader( type );\n\n\tgl.shaderSource( shader, string );\n\tgl.compileShader( shader );\n\n\treturn shader;\n\n}\n\n// From https://www.khronos.org/registry/webgl/extensions/KHR_parallel_shader_compile/\nconst COMPLETION_STATUS_KHR = 0x91B1;\n\nlet programIdCount = 0;\n\nfunction handleSource( string, errorLine ) {\n\n\tconst lines = string.split( '\\n' );\n\tconst lines2 = [];\n\n\tconst from = Math.max( errorLine - 6, 0 );\n\tconst to = Math.min( errorLine + 6, lines.length );\n\n\tfor ( let i = from; i < to; i ++ ) {\n\n\t\tconst line = i + 1;\n\t\tlines2.push( `${line === errorLine ? '>' : ' '} ${line}: ${lines[ i ]}` );\n\n\t}\n\n\treturn lines2.join( '\\n' );\n\n}\n\nfunction getEncodingComponents( colorSpace ) {\n\n\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\tconst encodingPrimaries = ColorManagement.getPrimaries( colorSpace );\n\n\tlet gamutMapping;\n\n\tif ( workingPrimaries === encodingPrimaries ) {\n\n\t\tgamutMapping = '';\n\n\t} else if ( workingPrimaries === P3Primaries && encodingPrimaries === Rec709Primaries ) {\n\n\t\tgamutMapping = 'LinearDisplayP3ToLinearSRGB';\n\n\t} else if ( workingPrimaries === Rec709Primaries && encodingPrimaries === P3Primaries ) {\n\n\t\tgamutMapping = 'LinearSRGBToLinearDisplayP3';\n\n\t}\n\n\tswitch ( colorSpace ) {\n\n\t\tcase LinearSRGBColorSpace:\n\t\tcase LinearDisplayP3ColorSpace:\n\t\t\treturn [ gamutMapping, 'LinearTransferOETF' ];\n\n\t\tcase SRGBColorSpace:\n\t\tcase DisplayP3ColorSpace:\n\t\t\treturn [ gamutMapping, 'sRGBTransferOETF' ];\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.WebGLProgram: Unsupported color space:', colorSpace );\n\t\t\treturn [ gamutMapping, 'LinearTransferOETF' ];\n\n\t}\n\n}\n\nfunction getShaderErrors( gl, shader, type ) {\n\n\tconst status = gl.getShaderParameter( shader, gl.COMPILE_STATUS );\n\tconst errors = gl.getShaderInfoLog( shader ).trim();\n\n\tif ( status && errors === '' ) return '';\n\n\tconst errorMatches = /ERROR: 0:(\\d+)/.exec( errors );\n\tif ( errorMatches ) {\n\n\t\t// --enable-privileged-webgl-extension\n\t\t// console.log( '**' + type + '**', gl.getExtension( 'WEBGL_debug_shaders' ).getTranslatedShaderSource( shader ) );\n\n\t\tconst errorLine = parseInt( errorMatches[ 1 ] );\n\t\treturn type.toUpperCase() + '\\n\\n' + errors + '\\n\\n' + handleSource( gl.getShaderSource( shader ), errorLine );\n\n\t} else {\n\n\t\treturn errors;\n\n\t}\n\n}\n\nfunction getTexelEncodingFunction( functionName, colorSpace ) {\n\n\tconst components = getEncodingComponents( colorSpace );\n\treturn `vec4 ${functionName}( vec4 value ) { return ${components[ 0 ]}( ${components[ 1 ]}( value ) ); }`;\n\n}\n\nfunction getToneMappingFunction( functionName, toneMapping ) {\n\n\tlet toneMappingName;\n\n\tswitch ( toneMapping ) {\n\n\t\tcase LinearToneMapping:\n\t\t\ttoneMappingName = 'Linear';\n\t\t\tbreak;\n\n\t\tcase ReinhardToneMapping:\n\t\t\ttoneMappingName = 'Reinhard';\n\t\t\tbreak;\n\n\t\tcase CineonToneMapping:\n\t\t\ttoneMappingName = 'OptimizedCineon';\n\t\t\tbreak;\n\n\t\tcase ACESFilmicToneMapping:\n\t\t\ttoneMappingName = 'ACESFilmic';\n\t\t\tbreak;\n\n\t\tcase AgXToneMapping:\n\t\t\ttoneMappingName = 'AgX';\n\t\t\tbreak;\n\n\t\tcase CustomToneMapping:\n\t\t\ttoneMappingName = 'Custom';\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.WebGLProgram: Unsupported toneMapping:', toneMapping );\n\t\t\ttoneMappingName = 'Linear';\n\n\t}\n\n\treturn 'vec3 ' + functionName + '( vec3 color ) { return ' + toneMappingName + 'ToneMapping( color ); }';\n\n}\n\nfunction generateExtensions( parameters ) {\n\n\tconst chunks = [\n\t\t( parameters.extensionDerivatives || !! parameters.envMapCubeUVHeight || parameters.bumpMap || parameters.normalMapTangentSpace || parameters.clearcoatNormalMap || parameters.flatShading || parameters.shaderID === 'physical' ) ? '#extension GL_OES_standard_derivatives : enable' : '',\n\t\t( parameters.extensionFragDepth || parameters.logarithmicDepthBuffer ) && parameters.rendererExtensionFragDepth ? '#extension GL_EXT_frag_depth : enable' : '',\n\t\t( parameters.extensionDrawBuffers && parameters.rendererExtensionDrawBuffers ) ? '#extension GL_EXT_draw_buffers : require' : '',\n\t\t( parameters.extensionShaderTextureLOD || parameters.envMap || parameters.transmission ) && parameters.rendererExtensionShaderTextureLod ? '#extension GL_EXT_shader_texture_lod : enable' : ''\n\t];\n\n\treturn chunks.filter( filterEmptyLine ).join( '\\n' );\n\n}\n\nfunction generateVertexExtensions( parameters ) {\n\n\tconst chunks = [\n\t\tparameters.extensionClipCullDistance ? '#extension GL_ANGLE_clip_cull_distance : require' : ''\n\t];\n\n\treturn chunks.filter( filterEmptyLine ).join( '\\n' );\n\n}\n\nfunction generateDefines( defines ) {\n\n\tconst chunks = [];\n\n\tfor ( const name in defines ) {\n\n\t\tconst value = defines[ name ];\n\n\t\tif ( value === false ) continue;\n\n\t\tchunks.push( '#define ' + name + ' ' + value );\n\n\t}\n\n\treturn chunks.join( '\\n' );\n\n}\n\nfunction fetchAttributeLocations( gl, program ) {\n\n\tconst attributes = {};\n\n\tconst n = gl.getProgramParameter( program, gl.ACTIVE_ATTRIBUTES );\n\n\tfor ( let i = 0; i < n; i ++ ) {\n\n\t\tconst info = gl.getActiveAttrib( program, i );\n\t\tconst name = info.name;\n\n\t\tlet locationSize = 1;\n\t\tif ( info.type === gl.FLOAT_MAT2 ) locationSize = 2;\n\t\tif ( info.type === gl.FLOAT_MAT3 ) locationSize = 3;\n\t\tif ( info.type === gl.FLOAT_MAT4 ) locationSize = 4;\n\n\t\t// console.log( 'THREE.WebGLProgram: ACTIVE VERTEX ATTRIBUTE:', name, i );\n\n\t\tattributes[ name ] = {\n\t\t\ttype: info.type,\n\t\t\tlocation: gl.getAttribLocation( program, name ),\n\t\t\tlocationSize: locationSize\n\t\t};\n\n\t}\n\n\treturn attributes;\n\n}\n\nfunction filterEmptyLine( string ) {\n\n\treturn string !== '';\n\n}\n\nfunction replaceLightNums( string, parameters ) {\n\n\tconst numSpotLightCoords = parameters.numSpotLightShadows + parameters.numSpotLightMaps - parameters.numSpotLightShadowsWithMaps;\n\n\treturn string\n\t\t.replace( /NUM_DIR_LIGHTS/g, parameters.numDirLights )\n\t\t.replace( /NUM_SPOT_LIGHTS/g, parameters.numSpotLights )\n\t\t.replace( /NUM_SPOT_LIGHT_MAPS/g, parameters.numSpotLightMaps )\n\t\t.replace( /NUM_SPOT_LIGHT_COORDS/g, numSpotLightCoords )\n\t\t.replace( /NUM_RECT_AREA_LIGHTS/g, parameters.numRectAreaLights )\n\t\t.replace( /NUM_POINT_LIGHTS/g, parameters.numPointLights )\n\t\t.replace( /NUM_HEMI_LIGHTS/g, parameters.numHemiLights )\n\t\t.replace( /NUM_DIR_LIGHT_SHADOWS/g, parameters.numDirLightShadows )\n\t\t.replace( /NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g, parameters.numSpotLightShadowsWithMaps )\n\t\t.replace( /NUM_SPOT_LIGHT_SHADOWS/g, parameters.numSpotLightShadows )\n\t\t.replace( /NUM_POINT_LIGHT_SHADOWS/g, parameters.numPointLightShadows );\n\n}\n\nfunction replaceClippingPlaneNums( string, parameters ) {\n\n\treturn string\n\t\t.replace( /NUM_CLIPPING_PLANES/g, parameters.numClippingPlanes )\n\t\t.replace( /UNION_CLIPPING_PLANES/g, ( parameters.numClippingPlanes - parameters.numClipIntersection ) );\n\n}\n\n// Resolve Includes\n\nconst includePattern = /^[ \\t]*#include +<([\\w\\d./]+)>/gm;\n\nfunction resolveIncludes( string ) {\n\n\treturn string.replace( includePattern, includeReplacer );\n\n}\n\nconst shaderChunkMap = new Map( [\n\t[ 'encodings_fragment', 'colorspace_fragment' ], // @deprecated, r154\n\t[ 'encodings_pars_fragment', 'colorspace_pars_fragment' ], // @deprecated, r154\n\t[ 'output_fragment', 'opaque_fragment' ], // @deprecated, r154\n] );\n\nfunction includeReplacer( match, include ) {\n\n\tlet string = ShaderChunk[ include ];\n\n\tif ( string === undefined ) {\n\n\t\tconst newInclude = shaderChunkMap.get( include );\n\n\t\tif ( newInclude !== undefined ) {\n\n\t\t\tstring = ShaderChunk[ newInclude ];\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Shader chunk \"%s\" has been deprecated. Use \"%s\" instead.', include, newInclude );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'Can not resolve #include <' + include + '>' );\n\n\t\t}\n\n\t}\n\n\treturn resolveIncludes( string );\n\n}\n\n// Unroll Loops\n\nconst unrollLoopPattern = /#pragma unroll_loop_start\\s+for\\s*\\(\\s*int\\s+i\\s*=\\s*(\\d+)\\s*;\\s*i\\s*<\\s*(\\d+)\\s*;\\s*i\\s*\\+\\+\\s*\\)\\s*{([\\s\\S]+?)}\\s+#pragma unroll_loop_end/g;\n\nfunction unrollLoops( string ) {\n\n\treturn string.replace( unrollLoopPattern, loopReplacer );\n\n}\n\nfunction loopReplacer( match, start, end, snippet ) {\n\n\tlet string = '';\n\n\tfor ( let i = parseInt( start ); i < parseInt( end ); i ++ ) {\n\n\t\tstring += snippet\n\t\t\t.replace( /\\[\\s*i\\s*\\]/g, '[ ' + i + ' ]' )\n\t\t\t.replace( /UNROLLED_LOOP_INDEX/g, i );\n\n\t}\n\n\treturn string;\n\n}\n\n//\n\nfunction generatePrecision( parameters ) {\n\n\tlet precisionstring = 'precision ' + parameters.precision + ' float;\\nprecision ' + parameters.precision + ' int;';\n\n\tif ( parameters.precision === 'highp' ) {\n\n\t\tprecisionstring += '\\n#define HIGH_PRECISION';\n\n\t} else if ( parameters.precision === 'mediump' ) {\n\n\t\tprecisionstring += '\\n#define MEDIUM_PRECISION';\n\n\t} else if ( parameters.precision === 'lowp' ) {\n\n\t\tprecisionstring += '\\n#define LOW_PRECISION';\n\n\t}\n\n\treturn precisionstring;\n\n}\n\nfunction generateShadowMapTypeDefine( parameters ) {\n\n\tlet shadowMapTypeDefine = 'SHADOWMAP_TYPE_BASIC';\n\n\tif ( parameters.shadowMapType === PCFShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_PCF';\n\n\t} else if ( parameters.shadowMapType === PCFSoftShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_PCF_SOFT';\n\n\t} else if ( parameters.shadowMapType === VSMShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_VSM';\n\n\t}\n\n\treturn shadowMapTypeDefine;\n\n}\n\nfunction generateEnvMapTypeDefine( parameters ) {\n\n\tlet envMapTypeDefine = 'ENVMAP_TYPE_CUBE';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.envMapMode ) {\n\n\t\t\tcase CubeReflectionMapping:\n\t\t\tcase CubeRefractionMapping:\n\t\t\t\tenvMapTypeDefine = 'ENVMAP_TYPE_CUBE';\n\t\t\t\tbreak;\n\n\t\t\tcase CubeUVReflectionMapping:\n\t\t\t\tenvMapTypeDefine = 'ENVMAP_TYPE_CUBE_UV';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapTypeDefine;\n\n}\n\nfunction generateEnvMapModeDefine( parameters ) {\n\n\tlet envMapModeDefine = 'ENVMAP_MODE_REFLECTION';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.envMapMode ) {\n\n\t\t\tcase CubeRefractionMapping:\n\n\t\t\t\tenvMapModeDefine = 'ENVMAP_MODE_REFRACTION';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapModeDefine;\n\n}\n\nfunction generateEnvMapBlendingDefine( parameters ) {\n\n\tlet envMapBlendingDefine = 'ENVMAP_BLENDING_NONE';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.combine ) {\n\n\t\t\tcase MultiplyOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_MULTIPLY';\n\t\t\t\tbreak;\n\n\t\t\tcase MixOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_MIX';\n\t\t\t\tbreak;\n\n\t\t\tcase AddOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_ADD';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapBlendingDefine;\n\n}\n\nfunction generateCubeUVSize( parameters ) {\n\n\tconst imageHeight = parameters.envMapCubeUVHeight;\n\n\tif ( imageHeight === null ) return null;\n\n\tconst maxMip = Math.log2( imageHeight ) - 2;\n\n\tconst texelHeight = 1.0 / imageHeight;\n\n\tconst texelWidth = 1.0 / ( 3 * Math.max( Math.pow( 2, maxMip ), 7 * 16 ) );\n\n\treturn { texelWidth, texelHeight, maxMip };\n\n}\n\nfunction WebGLProgram( renderer, cacheKey, parameters, bindingStates ) {\n\n\t// TODO Send this event to Three.js DevTools\n\t// console.log( 'WebGLProgram', cacheKey );\n\n\tconst gl = renderer.getContext();\n\n\tconst defines = parameters.defines;\n\n\tlet vertexShader = parameters.vertexShader;\n\tlet fragmentShader = parameters.fragmentShader;\n\n\tconst shadowMapTypeDefine = generateShadowMapTypeDefine( parameters );\n\tconst envMapTypeDefine = generateEnvMapTypeDefine( parameters );\n\tconst envMapModeDefine = generateEnvMapModeDefine( parameters );\n\tconst envMapBlendingDefine = generateEnvMapBlendingDefine( parameters );\n\tconst envMapCubeUVSize = generateCubeUVSize( parameters );\n\n\tconst customExtensions = parameters.isWebGL2 ? '' : generateExtensions( parameters );\n\n\tconst customVertexExtensions = generateVertexExtensions( parameters );\n\n\tconst customDefines = generateDefines( defines );\n\n\tconst program = gl.createProgram();\n\n\tlet prefixVertex, prefixFragment;\n\tlet versionString = parameters.glslVersion ? '#version ' + parameters.glslVersion + '\\n' : '';\n\n\tif ( parameters.isRawShaderMaterial ) {\n\n\t\tprefixVertex = [\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tif ( prefixVertex.length > 0 ) {\n\n\t\t\tprefixVertex += '\\n';\n\n\t\t}\n\n\t\tprefixFragment = [\n\n\t\t\tcustomExtensions,\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tif ( prefixFragment.length > 0 ) {\n\n\t\t\tprefixFragment += '\\n';\n\n\t\t}\n\n\t} else {\n\n\t\tprefixVertex = [\n\n\t\t\tgeneratePrecision( parameters ),\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines,\n\n\t\t\tparameters.extensionClipCullDistance ? '#define USE_CLIP_DISTANCE' : '',\n\t\t\tparameters.batching ? '#define USE_BATCHING' : '',\n\t\t\tparameters.instancing ? '#define USE_INSTANCING' : '',\n\t\t\tparameters.instancingColor ? '#define USE_INSTANCING_COLOR' : '',\n\n\t\t\tparameters.useFog && parameters.fog ? '#define USE_FOG' : '',\n\t\t\tparameters.useFog && parameters.fogExp2 ? '#define FOG_EXP2' : '',\n\n\t\t\tparameters.map ? '#define USE_MAP' : '',\n\t\t\tparameters.envMap ? '#define USE_ENVMAP' : '',\n\t\t\tparameters.envMap ? '#define ' + envMapModeDefine : '',\n\t\t\tparameters.lightMap ? '#define USE_LIGHTMAP' : '',\n\t\t\tparameters.aoMap ? '#define USE_AOMAP' : '',\n\t\t\tparameters.bumpMap ? '#define USE_BUMPMAP' : '',\n\t\t\tparameters.normalMap ? '#define USE_NORMALMAP' : '',\n\t\t\tparameters.normalMapObjectSpace ? '#define USE_NORMALMAP_OBJECTSPACE' : '',\n\t\t\tparameters.normalMapTangentSpace ? '#define USE_NORMALMAP_TANGENTSPACE' : '',\n\t\t\tparameters.displacementMap ? '#define USE_DISPLACEMENTMAP' : '',\n\t\t\tparameters.emissiveMap ? '#define USE_EMISSIVEMAP' : '',\n\n\t\t\tparameters.anisotropy ? '#define USE_ANISOTROPY' : '',\n\t\t\tparameters.anisotropyMap ? '#define USE_ANISOTROPYMAP' : '',\n\n\t\t\tparameters.clearcoatMap ? '#define USE_CLEARCOATMAP' : '',\n\t\t\tparameters.clearcoatRoughnessMap ? '#define USE_CLEARCOAT_ROUGHNESSMAP' : '',\n\t\t\tparameters.clearcoatNormalMap ? '#define USE_CLEARCOAT_NORMALMAP' : '',\n\n\t\t\tparameters.iridescenceMap ? '#define USE_IRIDESCENCEMAP' : '',\n\t\t\tparameters.iridescenceThicknessMap ? '#define USE_IRIDESCENCE_THICKNESSMAP' : '',\n\n\t\t\tparameters.specularMap ? '#define USE_SPECULARMAP' : '',\n\t\t\tparameters.specularColorMap ? '#define USE_SPECULAR_COLORMAP' : '',\n\t\t\tparameters.specularIntensityMap ? '#define USE_SPECULAR_INTENSITYMAP' : '',\n\n\t\t\tparameters.roughnessMap ? '#define USE_ROUGHNESSMAP' : '',\n\t\t\tparameters.metalnessMap ? '#define USE_METALNESSMAP' : '',\n\t\t\tparameters.alphaMap ? '#define USE_ALPHAMAP' : '',\n\t\t\tparameters.alphaHash ? '#define USE_ALPHAHASH' : '',\n\n\t\t\tparameters.transmission ? '#define USE_TRANSMISSION' : '',\n\t\t\tparameters.transmissionMap ? '#define USE_TRANSMISSIONMAP' : '',\n\t\t\tparameters.thicknessMap ? '#define USE_THICKNESSMAP' : '',\n\n\t\t\tparameters.sheenColorMap ? '#define USE_SHEEN_COLORMAP' : '',\n\t\t\tparameters.sheenRoughnessMap ? '#define USE_SHEEN_ROUGHNESSMAP' : '',\n\n\t\t\t//\n\n\t\t\tparameters.mapUv ? '#define MAP_UV ' + parameters.mapUv : '',\n\t\t\tparameters.alphaMapUv ? '#define ALPHAMAP_UV ' + parameters.alphaMapUv : '',\n\t\t\tparameters.lightMapUv ? '#define LIGHTMAP_UV ' + parameters.lightMapUv : '',\n\t\t\tparameters.aoMapUv ? '#define AOMAP_UV ' + parameters.aoMapUv : '',\n\t\t\tparameters.emissiveMapUv ? '#define EMISSIVEMAP_UV ' + parameters.emissiveMapUv : '',\n\t\t\tparameters.bumpMapUv ? '#define BUMPMAP_UV ' + parameters.bumpMapUv : '',\n\t\t\tparameters.normalMapUv ? '#define NORMALMAP_UV ' + parameters.normalMapUv : '',\n\t\t\tparameters.displacementMapUv ? '#define DISPLACEMENTMAP_UV ' + parameters.displacementMapUv : '',\n\n\t\t\tparameters.metalnessMapUv ? '#define METALNESSMAP_UV ' + parameters.metalnessMapUv : '',\n\t\t\tparameters.roughnessMapUv ? '#define ROUGHNESSMAP_UV ' + parameters.roughnessMapUv : '',\n\n\t\t\tparameters.anisotropyMapUv ? '#define ANISOTROPYMAP_UV ' + parameters.anisotropyMapUv : '',\n\n\t\t\tparameters.clearcoatMapUv ? '#define CLEARCOATMAP_UV ' + parameters.clearcoatMapUv : '',\n\t\t\tparameters.clearcoatNormalMapUv ? '#define CLEARCOAT_NORMALMAP_UV ' + parameters.clearcoatNormalMapUv : '',\n\t\t\tparameters.clearcoatRoughnessMapUv ? '#define CLEARCOAT_ROUGHNESSMAP_UV ' + parameters.clearcoatRoughnessMapUv : '',\n\n\t\t\tparameters.iridescenceMapUv ? '#define IRIDESCENCEMAP_UV ' + parameters.iridescenceMapUv : '',\n\t\t\tparameters.iridescenceThicknessMapUv ? '#define IRIDESCENCE_THICKNESSMAP_UV ' + parameters.iridescenceThicknessMapUv : '',\n\n\t\t\tparameters.sheenColorMapUv ? '#define SHEEN_COLORMAP_UV ' + parameters.sheenColorMapUv : '',\n\t\t\tparameters.sheenRoughnessMapUv ? '#define SHEEN_ROUGHNESSMAP_UV ' + parameters.sheenRoughnessMapUv : '',\n\n\t\t\tparameters.specularMapUv ? '#define SPECULARMAP_UV ' + parameters.specularMapUv : '',\n\t\t\tparameters.specularColorMapUv ? '#define SPECULAR_COLORMAP_UV ' + parameters.specularColorMapUv : '',\n\t\t\tparameters.specularIntensityMapUv ? '#define SPECULAR_INTENSITYMAP_UV ' + parameters.specularIntensityMapUv : '',\n\n\t\t\tparameters.transmissionMapUv ? '#define TRANSMISSIONMAP_UV ' + parameters.transmissionMapUv : '',\n\t\t\tparameters.thicknessMapUv ? '#define THICKNESSMAP_UV ' + parameters.thicknessMapUv : '',\n\n\t\t\t//\n\n\t\t\tparameters.vertexTangents && parameters.flatShading === false ? '#define USE_TANGENT' : '',\n\t\t\tparameters.vertexColors ? '#define USE_COLOR' : '',\n\t\t\tparameters.vertexAlphas ? '#define USE_COLOR_ALPHA' : '',\n\t\t\tparameters.vertexUv1s ? '#define USE_UV1' : '',\n\t\t\tparameters.vertexUv2s ? '#define USE_UV2' : '',\n\t\t\tparameters.vertexUv3s ? '#define USE_UV3' : '',\n\n\t\t\tparameters.pointsUvs ? '#define USE_POINTS_UV' : '',\n\n\t\t\tparameters.flatShading ? '#define FLAT_SHADED' : '',\n\n\t\t\tparameters.skinning ? '#define USE_SKINNING' : '',\n\n\t\t\tparameters.morphTargets ? '#define USE_MORPHTARGETS' : '',\n\t\t\tparameters.morphNormals && parameters.flatShading === false ? '#define USE_MORPHNORMALS' : '',\n\t\t\t( parameters.morphColors && parameters.isWebGL2 ) ? '#define USE_MORPHCOLORS' : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_TEXTURE' : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_TEXTURE_STRIDE ' + parameters.morphTextureStride : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_COUNT ' + parameters.morphTargetsCount : '',\n\t\t\tparameters.doubleSided ? '#define DOUBLE_SIDED' : '',\n\t\t\tparameters.flipSided ? '#define FLIP_SIDED' : '',\n\n\t\t\tparameters.shadowMapEnabled ? '#define USE_SHADOWMAP' : '',\n\t\t\tparameters.shadowMapEnabled ? '#define ' + shadowMapTypeDefine : '',\n\n\t\t\tparameters.sizeAttenuation ? '#define USE_SIZEATTENUATION' : '',\n\n\t\t\tparameters.numLightProbes > 0 ? '#define USE_LIGHT_PROBES' : '',\n\n\t\t\tparameters.useLegacyLights ? '#define LEGACY_LIGHTS' : '',\n\n\t\t\tparameters.logarithmicDepthBuffer ? '#define USE_LOGDEPTHBUF' : '',\n\t\t\t( parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ) ? '#define USE_LOGDEPTHBUF_EXT' : '',\n\n\t\t\t'uniform mat4 modelMatrix;',\n\t\t\t'uniform mat4 modelViewMatrix;',\n\t\t\t'uniform mat4 projectionMatrix;',\n\t\t\t'uniform mat4 viewMatrix;',\n\t\t\t'uniform mat3 normalMatrix;',\n\t\t\t'uniform vec3 cameraPosition;',\n\t\t\t'uniform bool isOrthographic;',\n\n\t\t\t'#ifdef USE_INSTANCING',\n\n\t\t\t'\tattribute mat4 instanceMatrix;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_INSTANCING_COLOR',\n\n\t\t\t'\tattribute vec3 instanceColor;',\n\n\t\t\t'#endif',\n\n\t\t\t'attribute vec3 position;',\n\t\t\t'attribute vec3 normal;',\n\t\t\t'attribute vec2 uv;',\n\n\t\t\t'#ifdef USE_UV1',\n\n\t\t\t'\tattribute vec2 uv1;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_UV2',\n\n\t\t\t'\tattribute vec2 uv2;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_UV3',\n\n\t\t\t'\tattribute vec2 uv3;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_TANGENT',\n\n\t\t\t'\tattribute vec4 tangent;',\n\n\t\t\t'#endif',\n\n\t\t\t'#if defined( USE_COLOR_ALPHA )',\n\n\t\t\t'\tattribute vec4 color;',\n\n\t\t\t'#elif defined( USE_COLOR )',\n\n\t\t\t'\tattribute vec3 color;',\n\n\t\t\t'#endif',\n\n\t\t\t'#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )',\n\n\t\t\t'\tattribute vec3 morphTarget0;',\n\t\t\t'\tattribute vec3 morphTarget1;',\n\t\t\t'\tattribute vec3 morphTarget2;',\n\t\t\t'\tattribute vec3 morphTarget3;',\n\n\t\t\t'\t#ifdef USE_MORPHNORMALS',\n\n\t\t\t'\t\tattribute vec3 morphNormal0;',\n\t\t\t'\t\tattribute vec3 morphNormal1;',\n\t\t\t'\t\tattribute vec3 morphNormal2;',\n\t\t\t'\t\tattribute vec3 morphNormal3;',\n\n\t\t\t'\t#else',\n\n\t\t\t'\t\tattribute vec3 morphTarget4;',\n\t\t\t'\t\tattribute vec3 morphTarget5;',\n\t\t\t'\t\tattribute vec3 morphTarget6;',\n\t\t\t'\t\tattribute vec3 morphTarget7;',\n\n\t\t\t'\t#endif',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_SKINNING',\n\n\t\t\t'\tattribute vec4 skinIndex;',\n\t\t\t'\tattribute vec4 skinWeight;',\n\n\t\t\t'#endif',\n\n\t\t\t'\\n'\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tprefixFragment = [\n\n\t\t\tcustomExtensions,\n\n\t\t\tgeneratePrecision( parameters ),\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines,\n\n\t\t\tparameters.useFog && parameters.fog ? '#define USE_FOG' : '',\n\t\t\tparameters.useFog && parameters.fogExp2 ? '#define FOG_EXP2' : '',\n\n\t\t\tparameters.map ? '#define USE_MAP' : '',\n\t\t\tparameters.matcap ? '#define USE_MATCAP' : '',\n\t\t\tparameters.envMap ? '#define USE_ENVMAP' : '',\n\t\t\tparameters.envMap ? '#define ' + envMapTypeDefine : '',\n\t\t\tparameters.envMap ? '#define ' + envMapModeDefine : '',\n\t\t\tparameters.envMap ? '#define ' + envMapBlendingDefine : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_TEXEL_WIDTH ' + envMapCubeUVSize.texelWidth : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_TEXEL_HEIGHT ' + envMapCubeUVSize.texelHeight : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_MAX_MIP ' + envMapCubeUVSize.maxMip + '.0' : '',\n\t\t\tparameters.lightMap ? '#define USE_LIGHTMAP' : '',\n\t\t\tparameters.aoMap ? '#define USE_AOMAP' : '',\n\t\t\tparameters.bumpMap ? '#define USE_BUMPMAP' : '',\n\t\t\tparameters.normalMap ? '#define USE_NORMALMAP' : '',\n\t\t\tparameters.normalMapObjectSpace ? '#define USE_NORMALMAP_OBJECTSPACE' : '',\n\t\t\tparameters.normalMapTangentSpace ? '#define USE_NORMALMAP_TANGENTSPACE' : '',\n\t\t\tparameters.emissiveMap ? '#define USE_EMISSIVEMAP' : '',\n\n\t\t\tparameters.anisotropy ? '#define USE_ANISOTROPY' : '',\n\t\t\tparameters.anisotropyMap ? '#define USE_ANISOTROPYMAP' : '',\n\n\t\t\tparameters.clearcoat ? '#define USE_CLEARCOAT' : '',\n\t\t\tparameters.clearcoatMap ? '#define USE_CLEARCOATMAP' : '',\n\t\t\tparameters.clearcoatRoughnessMap ? '#define USE_CLEARCOAT_ROUGHNESSMAP' : '',\n\t\t\tparameters.clearcoatNormalMap ? '#define USE_CLEARCOAT_NORMALMAP' : '',\n\n\t\t\tparameters.iridescence ? '#define USE_IRIDESCENCE' : '',\n\t\t\tparameters.iridescenceMap ? '#define USE_IRIDESCENCEMAP' : '',\n\t\t\tparameters.iridescenceThicknessMap ? '#define USE_IRIDESCENCE_THICKNESSMAP' : '',\n\n\t\t\tparameters.specularMap ? '#define USE_SPECULARMAP' : '',\n\t\t\tparameters.specularColorMap ? '#define USE_SPECULAR_COLORMAP' : '',\n\t\t\tparameters.specularIntensityMap ? '#define USE_SPECULAR_INTENSITYMAP' : '',\n\n\t\t\tparameters.roughnessMap ? '#define USE_ROUGHNESSMAP' : '',\n\t\t\tparameters.metalnessMap ? '#define USE_METALNESSMAP' : '',\n\n\t\t\tparameters.alphaMap ? '#define USE_ALPHAMAP' : '',\n\t\t\tparameters.alphaTest ? '#define USE_ALPHATEST' : '',\n\t\t\tparameters.alphaHash ? '#define USE_ALPHAHASH' : '',\n\n\t\t\tparameters.sheen ? '#define USE_SHEEN' : '',\n\t\t\tparameters.sheenColorMap ? '#define USE_SHEEN_COLORMAP' : '',\n\t\t\tparameters.sheenRoughnessMap ? '#define USE_SHEEN_ROUGHNESSMAP' : '',\n\n\t\t\tparameters.transmission ? '#define USE_TRANSMISSION' : '',\n\t\t\tparameters.transmissionMap ? '#define USE_TRANSMISSIONMAP' : '',\n\t\t\tparameters.thicknessMap ? '#define USE_THICKNESSMAP' : '',\n\n\t\t\tparameters.vertexTangents && parameters.flatShading === false ? '#define USE_TANGENT' : '',\n\t\t\tparameters.vertexColors || parameters.instancingColor ? '#define USE_COLOR' : '',\n\t\t\tparameters.vertexAlphas ? '#define USE_COLOR_ALPHA' : '',\n\t\t\tparameters.vertexUv1s ? '#define USE_UV1' : '',\n\t\t\tparameters.vertexUv2s ? '#define USE_UV2' : '',\n\t\t\tparameters.vertexUv3s ? '#define USE_UV3' : '',\n\n\t\t\tparameters.pointsUvs ? '#define USE_POINTS_UV' : '',\n\n\t\t\tparameters.gradientMap ? '#define USE_GRADIENTMAP' : '',\n\n\t\t\tparameters.flatShading ? '#define FLAT_SHADED' : '',\n\n\t\t\tparameters.doubleSided ? '#define DOUBLE_SIDED' : '',\n\t\t\tparameters.flipSided ? '#define FLIP_SIDED' : '',\n\n\t\t\tparameters.shadowMapEnabled ? '#define USE_SHADOWMAP' : '',\n\t\t\tparameters.shadowMapEnabled ? '#define ' + shadowMapTypeDefine : '',\n\n\t\t\tparameters.premultipliedAlpha ? '#define PREMULTIPLIED_ALPHA' : '',\n\n\t\t\tparameters.numLightProbes > 0 ? '#define USE_LIGHT_PROBES' : '',\n\n\t\t\tparameters.useLegacyLights ? '#define LEGACY_LIGHTS' : '',\n\n\t\t\tparameters.decodeVideoTexture ? '#define DECODE_VIDEO_TEXTURE' : '',\n\n\t\t\tparameters.logarithmicDepthBuffer ? '#define USE_LOGDEPTHBUF' : '',\n\t\t\t( parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ) ? '#define USE_LOGDEPTHBUF_EXT' : '',\n\n\t\t\t'uniform mat4 viewMatrix;',\n\t\t\t'uniform vec3 cameraPosition;',\n\t\t\t'uniform bool isOrthographic;',\n\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? '#define TONE_MAPPING' : '',\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? ShaderChunk[ 'tonemapping_pars_fragment' ] : '', // this code is required here because it is used by the toneMapping() function defined below\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? getToneMappingFunction( 'toneMapping', parameters.toneMapping ) : '',\n\n\t\t\tparameters.dithering ? '#define DITHERING' : '',\n\t\t\tparameters.opaque ? '#define OPAQUE' : '',\n\n\t\t\tShaderChunk[ 'colorspace_pars_fragment' ], // this code is required here because it is used by the various encoding/decoding function defined below\n\t\t\tgetTexelEncodingFunction( 'linearToOutputTexel', parameters.outputColorSpace ),\n\n\t\t\tparameters.useDepthPacking ? '#define DEPTH_PACKING ' + parameters.depthPacking : '',\n\n\t\t\t'\\n'\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t}\n\n\tvertexShader = resolveIncludes( vertexShader );\n\tvertexShader = replaceLightNums( vertexShader, parameters );\n\tvertexShader = replaceClippingPlaneNums( vertexShader, parameters );\n\n\tfragmentShader = resolveIncludes( fragmentShader );\n\tfragmentShader = replaceLightNums( fragmentShader, parameters );\n\tfragmentShader = replaceClippingPlaneNums( fragmentShader, parameters );\n\n\tvertexShader = unrollLoops( vertexShader );\n\tfragmentShader = unrollLoops( fragmentShader );\n\n\tif ( parameters.isWebGL2 && parameters.isRawShaderMaterial !== true ) {\n\n\t\t// GLSL 3.0 conversion for built-in materials and ShaderMaterial\n\n\t\tversionString = '#version 300 es\\n';\n\n\t\tprefixVertex = [\n\t\t\tcustomVertexExtensions,\n\t\t\t'precision mediump sampler2DArray;',\n\t\t\t'#define attribute in',\n\t\t\t'#define varying out',\n\t\t\t'#define texture2D texture'\n\t\t].join( '\\n' ) + '\\n' + prefixVertex;\n\n\t\tprefixFragment = [\n\t\t\t'precision mediump sampler2DArray;',\n\t\t\t'#define varying in',\n\t\t\t( parameters.glslVersion === GLSL3 ) ? '' : 'layout(location = 0) out highp vec4 pc_fragColor;',\n\t\t\t( parameters.glslVersion === GLSL3 ) ? '' : '#define gl_FragColor pc_fragColor',\n\t\t\t'#define gl_FragDepthEXT gl_FragDepth',\n\t\t\t'#define texture2D texture',\n\t\t\t'#define textureCube texture',\n\t\t\t'#define texture2DProj textureProj',\n\t\t\t'#define texture2DLodEXT textureLod',\n\t\t\t'#define texture2DProjLodEXT textureProjLod',\n\t\t\t'#define textureCubeLodEXT textureLod',\n\t\t\t'#define texture2DGradEXT textureGrad',\n\t\t\t'#define texture2DProjGradEXT textureProjGrad',\n\t\t\t'#define textureCubeGradEXT textureGrad'\n\t\t].join( '\\n' ) + '\\n' + prefixFragment;\n\n\t}\n\n\tconst vertexGlsl = versionString + prefixVertex + vertexShader;\n\tconst fragmentGlsl = versionString + prefixFragment + fragmentShader;\n\n\t// console.log( '*VERTEX*', vertexGlsl );\n\t// console.log( '*FRAGMENT*', fragmentGlsl );\n\n\tconst glVertexShader = WebGLShader( gl, gl.VERTEX_SHADER, vertexGlsl );\n\tconst glFragmentShader = WebGLShader( gl, gl.FRAGMENT_SHADER, fragmentGlsl );\n\n\tgl.attachShader( program, glVertexShader );\n\tgl.attachShader( program, glFragmentShader );\n\n\t// Force a particular attribute to index 0.\n\n\tif ( parameters.index0AttributeName !== undefined ) {\n\n\t\tgl.bindAttribLocation( program, 0, parameters.index0AttributeName );\n\n\t} else if ( parameters.morphTargets === true ) {\n\n\t\t// programs with morphTargets displace position out of attribute 0\n\t\tgl.bindAttribLocation( program, 0, 'position' );\n\n\t}\n\n\tgl.linkProgram( program );\n\n\tfunction onFirstUse( self ) {\n\n\t\t// check for link errors\n\t\tif ( renderer.debug.checkShaderErrors ) {\n\n\t\t\tconst programLog = gl.getProgramInfoLog( program ).trim();\n\t\t\tconst vertexLog = gl.getShaderInfoLog( glVertexShader ).trim();\n\t\t\tconst fragmentLog = gl.getShaderInfoLog( glFragmentShader ).trim();\n\n\t\t\tlet runnable = true;\n\t\t\tlet haveDiagnostics = true;\n\n\t\t\tif ( gl.getProgramParameter( program, gl.LINK_STATUS ) === false ) {\n\n\t\t\t\trunnable = false;\n\n\t\t\t\tif ( typeof renderer.debug.onShaderError === 'function' ) {\n\n\t\t\t\t\trenderer.debug.onShaderError( gl, program, glVertexShader, glFragmentShader );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// default error reporting\n\n\t\t\t\t\tconst vertexErrors = getShaderErrors( gl, glVertexShader, 'vertex' );\n\t\t\t\t\tconst fragmentErrors = getShaderErrors( gl, glFragmentShader, 'fragment' );\n\n\t\t\t\t\tconsole.error(\n\t\t\t\t\t\t'THREE.WebGLProgram: Shader Error ' + gl.getError() + ' - ' +\n\t\t\t\t\t\t'VALIDATE_STATUS ' + gl.getProgramParameter( program, gl.VALIDATE_STATUS ) + '\\n\\n' +\n\t\t\t\t\t\t'Program Info Log: ' + programLog + '\\n' +\n\t\t\t\t\t\tvertexErrors + '\\n' +\n\t\t\t\t\t\tfragmentErrors\n\t\t\t\t\t);\n\n\t\t\t\t}\n\n\t\t\t} else if ( programLog !== '' ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLProgram: Program Info Log:', programLog );\n\n\t\t\t} else if ( vertexLog === '' || fragmentLog === '' ) {\n\n\t\t\t\thaveDiagnostics = false;\n\n\t\t\t}\n\n\t\t\tif ( haveDiagnostics ) {\n\n\t\t\t\tself.diagnostics = {\n\n\t\t\t\t\trunnable: runnable,\n\n\t\t\t\t\tprogramLog: programLog,\n\n\t\t\t\t\tvertexShader: {\n\n\t\t\t\t\t\tlog: vertexLog,\n\t\t\t\t\t\tprefix: prefixVertex\n\n\t\t\t\t\t},\n\n\t\t\t\t\tfragmentShader: {\n\n\t\t\t\t\t\tlog: fragmentLog,\n\t\t\t\t\t\tprefix: prefixFragment\n\n\t\t\t\t\t}\n\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Clean up\n\n\t\t// Crashes in iOS9 and iOS10. #18402\n\t\t// gl.detachShader( program, glVertexShader );\n\t\t// gl.detachShader( program, glFragmentShader );\n\n\t\tgl.deleteShader( glVertexShader );\n\t\tgl.deleteShader( glFragmentShader );\n\n\t\tcachedUniforms = new WebGLUniforms( gl, program );\n\t\tcachedAttributes = fetchAttributeLocations( gl, program );\n\n\t}\n\n\t// set up caching for uniform locations\n\n\tlet cachedUniforms;\n\n\tthis.getUniforms = function () {\n\n\t\tif ( cachedUniforms === undefined ) {\n\n\t\t\t// Populates cachedUniforms and cachedAttributes\n\t\t\tonFirstUse( this );\n\n\t\t}\n\n\t\treturn cachedUniforms;\n\n\t};\n\n\t// set up caching for attribute locations\n\n\tlet cachedAttributes;\n\n\tthis.getAttributes = function () {\n\n\t\tif ( cachedAttributes === undefined ) {\n\n\t\t\t// Populates cachedAttributes and cachedUniforms\n\t\t\tonFirstUse( this );\n\n\t\t}\n\n\t\treturn cachedAttributes;\n\n\t};\n\n\t// indicate when the program is ready to be used. if the KHR_parallel_shader_compile extension isn't supported,\n\t// flag the program as ready immediately. It may cause a stall when it's first used.\n\n\tlet programReady = ( parameters.rendererExtensionParallelShaderCompile === false );\n\n\tthis.isReady = function () {\n\n\t\tif ( programReady === false ) {\n\n\t\t\tprogramReady = gl.getProgramParameter( program, COMPLETION_STATUS_KHR );\n\n\t\t}\n\n\t\treturn programReady;\n\n\t};\n\n\t// free resource\n\n\tthis.destroy = function () {\n\n\t\tbindingStates.releaseStatesOfProgram( this );\n\n\t\tgl.deleteProgram( program );\n\t\tthis.program = undefined;\n\n\t};\n\n\t//\n\n\tthis.type = parameters.shaderType;\n\tthis.name = parameters.shaderName;\n\tthis.id = programIdCount ++;\n\tthis.cacheKey = cacheKey;\n\tthis.usedTimes = 1;\n\tthis.program = program;\n\tthis.vertexShader = glVertexShader;\n\tthis.fragmentShader = glFragmentShader;\n\n\treturn this;\n\n}\n\nlet _id$1 = 0;\n\nclass WebGLShaderCache {\n\n\tconstructor() {\n\n\t\tthis.shaderCache = new Map();\n\t\tthis.materialCache = new Map();\n\n\t}\n\n\tupdate( material ) {\n\n\t\tconst vertexShader = material.vertexShader;\n\t\tconst fragmentShader = material.fragmentShader;\n\n\t\tconst vertexShaderStage = this._getShaderStage( vertexShader );\n\t\tconst fragmentShaderStage = this._getShaderStage( fragmentShader );\n\n\t\tconst materialShaders = this._getShaderCacheForMaterial( material );\n\n\t\tif ( materialShaders.has( vertexShaderStage ) === false ) {\n\n\t\t\tmaterialShaders.add( vertexShaderStage );\n\t\t\tvertexShaderStage.usedTimes ++;\n\n\t\t}\n\n\t\tif ( materialShaders.has( fragmentShaderStage ) === false ) {\n\n\t\t\tmaterialShaders.add( fragmentShaderStage );\n\t\t\tfragmentShaderStage.usedTimes ++;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremove( material ) {\n\n\t\tconst materialShaders = this.materialCache.get( material );\n\n\t\tfor ( const shaderStage of materialShaders ) {\n\n\t\t\tshaderStage.usedTimes --;\n\n\t\t\tif ( shaderStage.usedTimes === 0 ) this.shaderCache.delete( shaderStage.code );\n\n\t\t}\n\n\t\tthis.materialCache.delete( material );\n\n\t\treturn this;\n\n\t}\n\n\tgetVertexShaderID( material ) {\n\n\t\treturn this._getShaderStage( material.vertexShader ).id;\n\n\t}\n\n\tgetFragmentShaderID( material ) {\n\n\t\treturn this._getShaderStage( material.fragmentShader ).id;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shaderCache.clear();\n\t\tthis.materialCache.clear();\n\n\t}\n\n\t_getShaderCacheForMaterial( material ) {\n\n\t\tconst cache = this.materialCache;\n\t\tlet set = cache.get( material );\n\n\t\tif ( set === undefined ) {\n\n\t\t\tset = new Set();\n\t\t\tcache.set( material, set );\n\n\t\t}\n\n\t\treturn set;\n\n\t}\n\n\t_getShaderStage( code ) {\n\n\t\tconst cache = this.shaderCache;\n\t\tlet stage = cache.get( code );\n\n\t\tif ( stage === undefined ) {\n\n\t\t\tstage = new WebGLShaderStage( code );\n\t\t\tcache.set( code, stage );\n\n\t\t}\n\n\t\treturn stage;\n\n\t}\n\n}\n\nclass WebGLShaderStage {\n\n\tconstructor( code ) {\n\n\t\tthis.id = _id$1 ++;\n\n\t\tthis.code = code;\n\t\tthis.usedTimes = 0;\n\n\t}\n\n}\n\nfunction WebGLPrograms( renderer, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping ) {\n\n\tconst _programLayers = new Layers();\n\tconst _customShaders = new WebGLShaderCache();\n\tconst programs = [];\n\n\tconst IS_WEBGL2 = capabilities.isWebGL2;\n\tconst logarithmicDepthBuffer = capabilities.logarithmicDepthBuffer;\n\tconst SUPPORTS_VERTEX_TEXTURES = capabilities.vertexTextures;\n\n\tlet precision = capabilities.precision;\n\n\tconst shaderIDs = {\n\t\tMeshDepthMaterial: 'depth',\n\t\tMeshDistanceMaterial: 'distanceRGBA',\n\t\tMeshNormalMaterial: 'normal',\n\t\tMeshBasicMaterial: 'basic',\n\t\tMeshLambertMaterial: 'lambert',\n\t\tMeshPhongMaterial: 'phong',\n\t\tMeshToonMaterial: 'toon',\n\t\tMeshStandardMaterial: 'physical',\n\t\tMeshPhysicalMaterial: 'physical',\n\t\tMeshMatcapMaterial: 'matcap',\n\t\tLineBasicMaterial: 'basic',\n\t\tLineDashedMaterial: 'dashed',\n\t\tPointsMaterial: 'points',\n\t\tShadowMaterial: 'shadow',\n\t\tSpriteMaterial: 'sprite'\n\t};\n\n\tfunction getChannel( value ) {\n\n\t\tif ( value === 0 ) return 'uv';\n\n\t\treturn `uv${ value }`;\n\n\t}\n\n\tfunction getParameters( material, lights, shadows, scene, object ) {\n\n\t\tconst fog = scene.fog;\n\t\tconst geometry = object.geometry;\n\t\tconst environment = material.isMeshStandardMaterial ? scene.environment : null;\n\n\t\tconst envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || environment );\n\t\tconst envMapCubeUVHeight = ( !! envMap ) && ( envMap.mapping === CubeUVReflectionMapping ) ? envMap.image.height : null;\n\n\t\tconst shaderID = shaderIDs[ material.type ];\n\n\t\t// heuristics to create shader parameters according to lights in the scene\n\t\t// (not to blow over maxLights budget)\n\n\t\tif ( material.precision !== null ) {\n\n\t\t\tprecision = capabilities.getMaxPrecision( material.precision );\n\n\t\t\tif ( precision !== material.precision ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLProgram.getParameters:', material.precision, 'not supported, using', precision, 'instead.' );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\tlet morphTextureStride = 0;\n\n\t\tif ( geometry.morphAttributes.position !== undefined ) morphTextureStride = 1;\n\t\tif ( geometry.morphAttributes.normal !== undefined ) morphTextureStride = 2;\n\t\tif ( geometry.morphAttributes.color !== undefined ) morphTextureStride = 3;\n\n\t\t//\n\n\t\tlet vertexShader, fragmentShader;\n\t\tlet customVertexShaderID, customFragmentShaderID;\n\n\t\tif ( shaderID ) {\n\n\t\t\tconst shader = ShaderLib[ shaderID ];\n\n\t\t\tvertexShader = shader.vertexShader;\n\t\t\tfragmentShader = shader.fragmentShader;\n\n\t\t} else {\n\n\t\t\tvertexShader = material.vertexShader;\n\t\t\tfragmentShader = material.fragmentShader;\n\n\t\t\t_customShaders.update( material );\n\n\t\t\tcustomVertexShaderID = _customShaders.getVertexShaderID( material );\n\t\t\tcustomFragmentShaderID = _customShaders.getFragmentShaderID( material );\n\n\t\t}\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\n\t\tconst IS_INSTANCEDMESH = object.isInstancedMesh === true;\n\t\tconst IS_BATCHEDMESH = object.isBatchedMesh === true;\n\n\t\tconst HAS_MAP = !! material.map;\n\t\tconst HAS_MATCAP = !! material.matcap;\n\t\tconst HAS_ENVMAP = !! envMap;\n\t\tconst HAS_AOMAP = !! material.aoMap;\n\t\tconst HAS_LIGHTMAP = !! material.lightMap;\n\t\tconst HAS_BUMPMAP = !! material.bumpMap;\n\t\tconst HAS_NORMALMAP = !! material.normalMap;\n\t\tconst HAS_DISPLACEMENTMAP = !! material.displacementMap;\n\t\tconst HAS_EMISSIVEMAP = !! material.emissiveMap;\n\n\t\tconst HAS_METALNESSMAP = !! material.metalnessMap;\n\t\tconst HAS_ROUGHNESSMAP = !! material.roughnessMap;\n\n\t\tconst HAS_ANISOTROPY = material.anisotropy > 0;\n\t\tconst HAS_CLEARCOAT = material.clearcoat > 0;\n\t\tconst HAS_IRIDESCENCE = material.iridescence > 0;\n\t\tconst HAS_SHEEN = material.sheen > 0;\n\t\tconst HAS_TRANSMISSION = material.transmission > 0;\n\n\t\tconst HAS_ANISOTROPYMAP = HAS_ANISOTROPY && !! material.anisotropyMap;\n\n\t\tconst HAS_CLEARCOATMAP = HAS_CLEARCOAT && !! material.clearcoatMap;\n\t\tconst HAS_CLEARCOAT_NORMALMAP = HAS_CLEARCOAT && !! material.clearcoatNormalMap;\n\t\tconst HAS_CLEARCOAT_ROUGHNESSMAP = HAS_CLEARCOAT && !! material.clearcoatRoughnessMap;\n\n\t\tconst HAS_IRIDESCENCEMAP = HAS_IRIDESCENCE && !! material.iridescenceMap;\n\t\tconst HAS_IRIDESCENCE_THICKNESSMAP = HAS_IRIDESCENCE && !! material.iridescenceThicknessMap;\n\n\t\tconst HAS_SHEEN_COLORMAP = HAS_SHEEN && !! material.sheenColorMap;\n\t\tconst HAS_SHEEN_ROUGHNESSMAP = HAS_SHEEN && !! material.sheenRoughnessMap;\n\n\t\tconst HAS_SPECULARMAP = !! material.specularMap;\n\t\tconst HAS_SPECULAR_COLORMAP = !! material.specularColorMap;\n\t\tconst HAS_SPECULAR_INTENSITYMAP = !! material.specularIntensityMap;\n\n\t\tconst HAS_TRANSMISSIONMAP = HAS_TRANSMISSION && !! material.transmissionMap;\n\t\tconst HAS_THICKNESSMAP = HAS_TRANSMISSION && !! material.thicknessMap;\n\n\t\tconst HAS_GRADIENTMAP = !! material.gradientMap;\n\n\t\tconst HAS_ALPHAMAP = !! material.alphaMap;\n\n\t\tconst HAS_ALPHATEST = material.alphaTest > 0;\n\n\t\tconst HAS_ALPHAHASH = !! material.alphaHash;\n\n\t\tconst HAS_EXTENSIONS = !! material.extensions;\n\n\t\tconst HAS_ATTRIBUTE_UV1 = !! geometry.attributes.uv1;\n\t\tconst HAS_ATTRIBUTE_UV2 = !! geometry.attributes.uv2;\n\t\tconst HAS_ATTRIBUTE_UV3 = !! geometry.attributes.uv3;\n\n\t\tlet toneMapping = NoToneMapping;\n\n\t\tif ( material.toneMapped ) {\n\n\t\t\tif ( currentRenderTarget === null || currentRenderTarget.isXRRenderTarget === true ) {\n\n\t\t\t\ttoneMapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst parameters = {\n\n\t\t\tisWebGL2: IS_WEBGL2,\n\n\t\t\tshaderID: shaderID,\n\t\t\tshaderType: material.type,\n\t\t\tshaderName: material.name,\n\n\t\t\tvertexShader: vertexShader,\n\t\t\tfragmentShader: fragmentShader,\n\t\t\tdefines: material.defines,\n\n\t\t\tcustomVertexShaderID: customVertexShaderID,\n\t\t\tcustomFragmentShaderID: customFragmentShaderID,\n\n\t\t\tisRawShaderMaterial: material.isRawShaderMaterial === true,\n\t\t\tglslVersion: material.glslVersion,\n\n\t\t\tprecision: precision,\n\n\t\t\tbatching: IS_BATCHEDMESH,\n\t\t\tinstancing: IS_INSTANCEDMESH,\n\t\t\tinstancingColor: IS_INSTANCEDMESH && object.instanceColor !== null,\n\n\t\t\tsupportsVertexTextures: SUPPORTS_VERTEX_TEXTURES,\n\t\t\toutputColorSpace: ( currentRenderTarget === null ) ? renderer.outputColorSpace : ( currentRenderTarget.isXRRenderTarget === true ? currentRenderTarget.texture.colorSpace : LinearSRGBColorSpace ),\n\n\t\t\tmap: HAS_MAP,\n\t\t\tmatcap: HAS_MATCAP,\n\t\t\tenvMap: HAS_ENVMAP,\n\t\t\tenvMapMode: HAS_ENVMAP && envMap.mapping,\n\t\t\tenvMapCubeUVHeight: envMapCubeUVHeight,\n\t\t\taoMap: HAS_AOMAP,\n\t\t\tlightMap: HAS_LIGHTMAP,\n\t\t\tbumpMap: HAS_BUMPMAP,\n\t\t\tnormalMap: HAS_NORMALMAP,\n\t\t\tdisplacementMap: SUPPORTS_VERTEX_TEXTURES && HAS_DISPLACEMENTMAP,\n\t\t\temissiveMap: HAS_EMISSIVEMAP,\n\n\t\t\tnormalMapObjectSpace: HAS_NORMALMAP && material.normalMapType === ObjectSpaceNormalMap,\n\t\t\tnormalMapTangentSpace: HAS_NORMALMAP && material.normalMapType === TangentSpaceNormalMap,\n\n\t\t\tmetalnessMap: HAS_METALNESSMAP,\n\t\t\troughnessMap: HAS_ROUGHNESSMAP,\n\n\t\t\tanisotropy: HAS_ANISOTROPY,\n\t\t\tanisotropyMap: HAS_ANISOTROPYMAP,\n\n\t\t\tclearcoat: HAS_CLEARCOAT,\n\t\t\tclearcoatMap: HAS_CLEARCOATMAP,\n\t\t\tclearcoatNormalMap: HAS_CLEARCOAT_NORMALMAP,\n\t\t\tclearcoatRoughnessMap: HAS_CLEARCOAT_ROUGHNESSMAP,\n\n\t\t\tiridescence: HAS_IRIDESCENCE,\n\t\t\tiridescenceMap: HAS_IRIDESCENCEMAP,\n\t\t\tiridescenceThicknessMap: HAS_IRIDESCENCE_THICKNESSMAP,\n\n\t\t\tsheen: HAS_SHEEN,\n\t\t\tsheenColorMap: HAS_SHEEN_COLORMAP,\n\t\t\tsheenRoughnessMap: HAS_SHEEN_ROUGHNESSMAP,\n\n\t\t\tspecularMap: HAS_SPECULARMAP,\n\t\t\tspecularColorMap: HAS_SPECULAR_COLORMAP,\n\t\t\tspecularIntensityMap: HAS_SPECULAR_INTENSITYMAP,\n\n\t\t\ttransmission: HAS_TRANSMISSION,\n\t\t\ttransmissionMap: HAS_TRANSMISSIONMAP,\n\t\t\tthicknessMap: HAS_THICKNESSMAP,\n\n\t\t\tgradientMap: HAS_GRADIENTMAP,\n\n\t\t\topaque: material.transparent === false && material.blending === NormalBlending,\n\n\t\t\talphaMap: HAS_ALPHAMAP,\n\t\t\talphaTest: HAS_ALPHATEST,\n\t\t\talphaHash: HAS_ALPHAHASH,\n\n\t\t\tcombine: material.combine,\n\n\t\t\t//\n\n\t\t\tmapUv: HAS_MAP && getChannel( material.map.channel ),\n\t\t\taoMapUv: HAS_AOMAP && getChannel( material.aoMap.channel ),\n\t\t\tlightMapUv: HAS_LIGHTMAP && getChannel( material.lightMap.channel ),\n\t\t\tbumpMapUv: HAS_BUMPMAP && getChannel( material.bumpMap.channel ),\n\t\t\tnormalMapUv: HAS_NORMALMAP && getChannel( material.normalMap.channel ),\n\t\t\tdisplacementMapUv: HAS_DISPLACEMENTMAP && getChannel( material.displacementMap.channel ),\n\t\t\temissiveMapUv: HAS_EMISSIVEMAP && getChannel( material.emissiveMap.channel ),\n\n\t\t\tmetalnessMapUv: HAS_METALNESSMAP && getChannel( material.metalnessMap.channel ),\n\t\t\troughnessMapUv: HAS_ROUGHNESSMAP && getChannel( material.roughnessMap.channel ),\n\n\t\t\tanisotropyMapUv: HAS_ANISOTROPYMAP && getChannel( material.anisotropyMap.channel ),\n\n\t\t\tclearcoatMapUv: HAS_CLEARCOATMAP && getChannel( material.clearcoatMap.channel ),\n\t\t\tclearcoatNormalMapUv: HAS_CLEARCOAT_NORMALMAP && getChannel( material.clearcoatNormalMap.channel ),\n\t\t\tclearcoatRoughnessMapUv: HAS_CLEARCOAT_ROUGHNESSMAP && getChannel( material.clearcoatRoughnessMap.channel ),\n\n\t\t\tiridescenceMapUv: HAS_IRIDESCENCEMAP && getChannel( material.iridescenceMap.channel ),\n\t\t\tiridescenceThicknessMapUv: HAS_IRIDESCENCE_THICKNESSMAP && getChannel( material.iridescenceThicknessMap.channel ),\n\n\t\t\tsheenColorMapUv: HAS_SHEEN_COLORMAP && getChannel( material.sheenColorMap.channel ),\n\t\t\tsheenRoughnessMapUv: HAS_SHEEN_ROUGHNESSMAP && getChannel( material.sheenRoughnessMap.channel ),\n\n\t\t\tspecularMapUv: HAS_SPECULARMAP && getChannel( material.specularMap.channel ),\n\t\t\tspecularColorMapUv: HAS_SPECULAR_COLORMAP && getChannel( material.specularColorMap.channel ),\n\t\t\tspecularIntensityMapUv: HAS_SPECULAR_INTENSITYMAP && getChannel( material.specularIntensityMap.channel ),\n\n\t\t\ttransmissionMapUv: HAS_TRANSMISSIONMAP && getChannel( material.transmissionMap.channel ),\n\t\t\tthicknessMapUv: HAS_THICKNESSMAP && getChannel( material.thicknessMap.channel ),\n\n\t\t\talphaMapUv: HAS_ALPHAMAP && getChannel( material.alphaMap.channel ),\n\n\t\t\t//\n\n\t\t\tvertexTangents: !! geometry.attributes.tangent && ( HAS_NORMALMAP || HAS_ANISOTROPY ),\n\t\t\tvertexColors: material.vertexColors,\n\t\t\tvertexAlphas: material.vertexColors === true && !! geometry.attributes.color && geometry.attributes.color.itemSize === 4,\n\t\t\tvertexUv1s: HAS_ATTRIBUTE_UV1,\n\t\t\tvertexUv2s: HAS_ATTRIBUTE_UV2,\n\t\t\tvertexUv3s: HAS_ATTRIBUTE_UV3,\n\n\t\t\tpointsUvs: object.isPoints === true && !! geometry.attributes.uv && ( HAS_MAP || HAS_ALPHAMAP ),\n\n\t\t\tfog: !! fog,\n\t\t\tuseFog: material.fog === true,\n\t\t\tfogExp2: ( fog && fog.isFogExp2 ),\n\n\t\t\tflatShading: material.flatShading === true,\n\n\t\t\tsizeAttenuation: material.sizeAttenuation === true,\n\t\t\tlogarithmicDepthBuffer: logarithmicDepthBuffer,\n\n\t\t\tskinning: object.isSkinnedMesh === true,\n\n\t\t\tmorphTargets: geometry.morphAttributes.position !== undefined,\n\t\t\tmorphNormals: geometry.morphAttributes.normal !== undefined,\n\t\t\tmorphColors: geometry.morphAttributes.color !== undefined,\n\t\t\tmorphTargetsCount: morphTargetsCount,\n\t\t\tmorphTextureStride: morphTextureStride,\n\n\t\t\tnumDirLights: lights.directional.length,\n\t\t\tnumPointLights: lights.point.length,\n\t\t\tnumSpotLights: lights.spot.length,\n\t\t\tnumSpotLightMaps: lights.spotLightMap.length,\n\t\t\tnumRectAreaLights: lights.rectArea.length,\n\t\t\tnumHemiLights: lights.hemi.length,\n\n\t\t\tnumDirLightShadows: lights.directionalShadowMap.length,\n\t\t\tnumPointLightShadows: lights.pointShadowMap.length,\n\t\t\tnumSpotLightShadows: lights.spotShadowMap.length,\n\t\t\tnumSpotLightShadowsWithMaps: lights.numSpotLightShadowsWithMaps,\n\n\t\t\tnumLightProbes: lights.numLightProbes,\n\n\t\t\tnumClippingPlanes: clipping.numPlanes,\n\t\t\tnumClipIntersection: clipping.numIntersection,\n\n\t\t\tdithering: material.dithering,\n\n\t\t\tshadowMapEnabled: renderer.shadowMap.enabled && shadows.length > 0,\n\t\t\tshadowMapType: renderer.shadowMap.type,\n\n\t\t\ttoneMapping: toneMapping,\n\t\t\tuseLegacyLights: renderer._useLegacyLights,\n\n\t\t\tdecodeVideoTexture: HAS_MAP && ( material.map.isVideoTexture === true ) && ( ColorManagement.getTransfer( material.map.colorSpace ) === SRGBTransfer ),\n\n\t\t\tpremultipliedAlpha: material.premultipliedAlpha,\n\n\t\t\tdoubleSided: material.side === DoubleSide,\n\t\t\tflipSided: material.side === BackSide,\n\n\t\t\tuseDepthPacking: material.depthPacking >= 0,\n\t\t\tdepthPacking: material.depthPacking || 0,\n\n\t\t\tindex0AttributeName: material.index0AttributeName,\n\n\t\t\textensionDerivatives: HAS_EXTENSIONS && material.extensions.derivatives === true,\n\t\t\textensionFragDepth: HAS_EXTENSIONS && material.extensions.fragDepth === true,\n\t\t\textensionDrawBuffers: HAS_EXTENSIONS && material.extensions.drawBuffers === true,\n\t\t\textensionShaderTextureLOD: HAS_EXTENSIONS && material.extensions.shaderTextureLOD === true,\n\t\t\textensionClipCullDistance: HAS_EXTENSIONS && material.extensions.clipCullDistance && extensions.has( 'WEBGL_clip_cull_distance' ),\n\n\t\t\trendererExtensionFragDepth: IS_WEBGL2 || extensions.has( 'EXT_frag_depth' ),\n\t\t\trendererExtensionDrawBuffers: IS_WEBGL2 || extensions.has( 'WEBGL_draw_buffers' ),\n\t\t\trendererExtensionShaderTextureLod: IS_WEBGL2 || extensions.has( 'EXT_shader_texture_lod' ),\n\t\t\trendererExtensionParallelShaderCompile: extensions.has( 'KHR_parallel_shader_compile' ),\n\n\t\t\tcustomProgramCacheKey: material.customProgramCacheKey()\n\n\t\t};\n\n\t\treturn parameters;\n\n\t}\n\n\tfunction getProgramCacheKey( parameters ) {\n\n\t\tconst array = [];\n\n\t\tif ( parameters.shaderID ) {\n\n\t\t\tarray.push( parameters.shaderID );\n\n\t\t} else {\n\n\t\t\tarray.push( parameters.customVertexShaderID );\n\t\t\tarray.push( parameters.customFragmentShaderID );\n\n\t\t}\n\n\t\tif ( parameters.defines !== undefined ) {\n\n\t\t\tfor ( const name in parameters.defines ) {\n\n\t\t\t\tarray.push( name );\n\t\t\t\tarray.push( parameters.defines[ name ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( parameters.isRawShaderMaterial === false ) {\n\n\t\t\tgetProgramCacheKeyParameters( array, parameters );\n\t\t\tgetProgramCacheKeyBooleans( array, parameters );\n\t\t\tarray.push( renderer.outputColorSpace );\n\n\t\t}\n\n\t\tarray.push( parameters.customProgramCacheKey );\n\n\t\treturn array.join();\n\n\t}\n\n\tfunction getProgramCacheKeyParameters( array, parameters ) {\n\n\t\tarray.push( parameters.precision );\n\t\tarray.push( parameters.outputColorSpace );\n\t\tarray.push( parameters.envMapMode );\n\t\tarray.push( parameters.envMapCubeUVHeight );\n\t\tarray.push( parameters.mapUv );\n\t\tarray.push( parameters.alphaMapUv );\n\t\tarray.push( parameters.lightMapUv );\n\t\tarray.push( parameters.aoMapUv );\n\t\tarray.push( parameters.bumpMapUv );\n\t\tarray.push( parameters.normalMapUv );\n\t\tarray.push( parameters.displacementMapUv );\n\t\tarray.push( parameters.emissiveMapUv );\n\t\tarray.push( parameters.metalnessMapUv );\n\t\tarray.push( parameters.roughnessMapUv );\n\t\tarray.push( parameters.anisotropyMapUv );\n\t\tarray.push( parameters.clearcoatMapUv );\n\t\tarray.push( parameters.clearcoatNormalMapUv );\n\t\tarray.push( parameters.clearcoatRoughnessMapUv );\n\t\tarray.push( parameters.iridescenceMapUv );\n\t\tarray.push( parameters.iridescenceThicknessMapUv );\n\t\tarray.push( parameters.sheenColorMapUv );\n\t\tarray.push( parameters.sheenRoughnessMapUv );\n\t\tarray.push( parameters.specularMapUv );\n\t\tarray.push( parameters.specularColorMapUv );\n\t\tarray.push( parameters.specularIntensityMapUv );\n\t\tarray.push( parameters.transmissionMapUv );\n\t\tarray.push( parameters.thicknessMapUv );\n\t\tarray.push( parameters.combine );\n\t\tarray.push( parameters.fogExp2 );\n\t\tarray.push( parameters.sizeAttenuation );\n\t\tarray.push( parameters.morphTargetsCount );\n\t\tarray.push( parameters.morphAttributeCount );\n\t\tarray.push( parameters.numDirLights );\n\t\tarray.push( parameters.numPointLights );\n\t\tarray.push( parameters.numSpotLights );\n\t\tarray.push( parameters.numSpotLightMaps );\n\t\tarray.push( parameters.numHemiLights );\n\t\tarray.push( parameters.numRectAreaLights );\n\t\tarray.push( parameters.numDirLightShadows );\n\t\tarray.push( parameters.numPointLightShadows );\n\t\tarray.push( parameters.numSpotLightShadows );\n\t\tarray.push( parameters.numSpotLightShadowsWithMaps );\n\t\tarray.push( parameters.numLightProbes );\n\t\tarray.push( parameters.shadowMapType );\n\t\tarray.push( parameters.toneMapping );\n\t\tarray.push( parameters.numClippingPlanes );\n\t\tarray.push( parameters.numClipIntersection );\n\t\tarray.push( parameters.depthPacking );\n\n\t}\n\n\tfunction getProgramCacheKeyBooleans( array, parameters ) {\n\n\t\t_programLayers.disableAll();\n\n\t\tif ( parameters.isWebGL2 )\n\t\t\t_programLayers.enable( 0 );\n\t\tif ( parameters.supportsVertexTextures )\n\t\t\t_programLayers.enable( 1 );\n\t\tif ( parameters.instancing )\n\t\t\t_programLayers.enable( 2 );\n\t\tif ( parameters.instancingColor )\n\t\t\t_programLayers.enable( 3 );\n\t\tif ( parameters.matcap )\n\t\t\t_programLayers.enable( 4 );\n\t\tif ( parameters.envMap )\n\t\t\t_programLayers.enable( 5 );\n\t\tif ( parameters.normalMapObjectSpace )\n\t\t\t_programLayers.enable( 6 );\n\t\tif ( parameters.normalMapTangentSpace )\n\t\t\t_programLayers.enable( 7 );\n\t\tif ( parameters.clearcoat )\n\t\t\t_programLayers.enable( 8 );\n\t\tif ( parameters.iridescence )\n\t\t\t_programLayers.enable( 9 );\n\t\tif ( parameters.alphaTest )\n\t\t\t_programLayers.enable( 10 );\n\t\tif ( parameters.vertexColors )\n\t\t\t_programLayers.enable( 11 );\n\t\tif ( parameters.vertexAlphas )\n\t\t\t_programLayers.enable( 12 );\n\t\tif ( parameters.vertexUv1s )\n\t\t\t_programLayers.enable( 13 );\n\t\tif ( parameters.vertexUv2s )\n\t\t\t_programLayers.enable( 14 );\n\t\tif ( parameters.vertexUv3s )\n\t\t\t_programLayers.enable( 15 );\n\t\tif ( parameters.vertexTangents )\n\t\t\t_programLayers.enable( 16 );\n\t\tif ( parameters.anisotropy )\n\t\t\t_programLayers.enable( 17 );\n\t\tif ( parameters.alphaHash )\n\t\t\t_programLayers.enable( 18 );\n\t\tif ( parameters.batching )\n\t\t\t_programLayers.enable( 19 );\n\n\t\tarray.push( _programLayers.mask );\n\t\t_programLayers.disableAll();\n\n\t\tif ( parameters.fog )\n\t\t\t_programLayers.enable( 0 );\n\t\tif ( parameters.useFog )\n\t\t\t_programLayers.enable( 1 );\n\t\tif ( parameters.flatShading )\n\t\t\t_programLayers.enable( 2 );\n\t\tif ( parameters.logarithmicDepthBuffer )\n\t\t\t_programLayers.enable( 3 );\n\t\tif ( parameters.skinning )\n\t\t\t_programLayers.enable( 4 );\n\t\tif ( parameters.morphTargets )\n\t\t\t_programLayers.enable( 5 );\n\t\tif ( parameters.morphNormals )\n\t\t\t_programLayers.enable( 6 );\n\t\tif ( parameters.morphColors )\n\t\t\t_programLayers.enable( 7 );\n\t\tif ( parameters.premultipliedAlpha )\n\t\t\t_programLayers.enable( 8 );\n\t\tif ( parameters.shadowMapEnabled )\n\t\t\t_programLayers.enable( 9 );\n\t\tif ( parameters.useLegacyLights )\n\t\t\t_programLayers.enable( 10 );\n\t\tif ( parameters.doubleSided )\n\t\t\t_programLayers.enable( 11 );\n\t\tif ( parameters.flipSided )\n\t\t\t_programLayers.enable( 12 );\n\t\tif ( parameters.useDepthPacking )\n\t\t\t_programLayers.enable( 13 );\n\t\tif ( parameters.dithering )\n\t\t\t_programLayers.enable( 14 );\n\t\tif ( parameters.transmission )\n\t\t\t_programLayers.enable( 15 );\n\t\tif ( parameters.sheen )\n\t\t\t_programLayers.enable( 16 );\n\t\tif ( parameters.opaque )\n\t\t\t_programLayers.enable( 17 );\n\t\tif ( parameters.pointsUvs )\n\t\t\t_programLayers.enable( 18 );\n\t\tif ( parameters.decodeVideoTexture )\n\t\t\t_programLayers.enable( 19 );\n\n\t\tarray.push( _programLayers.mask );\n\n\t}\n\n\tfunction getUniforms( material ) {\n\n\t\tconst shaderID = shaderIDs[ material.type ];\n\t\tlet uniforms;\n\n\t\tif ( shaderID ) {\n\n\t\t\tconst shader = ShaderLib[ shaderID ];\n\t\t\tuniforms = UniformsUtils.clone( shader.uniforms );\n\n\t\t} else {\n\n\t\t\tuniforms = material.uniforms;\n\n\t\t}\n\n\t\treturn uniforms;\n\n\t}\n\n\tfunction acquireProgram( parameters, cacheKey ) {\n\n\t\tlet program;\n\n\t\t// Check if code has been already compiled\n\t\tfor ( let p = 0, pl = programs.length; p < pl; p ++ ) {\n\n\t\t\tconst preexistingProgram = programs[ p ];\n\n\t\t\tif ( preexistingProgram.cacheKey === cacheKey ) {\n\n\t\t\t\tprogram = preexistingProgram;\n\t\t\t\t++ program.usedTimes;\n\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( program === undefined ) {\n\n\t\t\tprogram = new WebGLProgram( renderer, cacheKey, parameters, bindingStates );\n\t\t\tprograms.push( program );\n\n\t\t}\n\n\t\treturn program;\n\n\t}\n\n\tfunction releaseProgram( program ) {\n\n\t\tif ( -- program.usedTimes === 0 ) {\n\n\t\t\t// Remove from unordered set\n\t\t\tconst i = programs.indexOf( program );\n\t\t\tprograms[ i ] = programs[ programs.length - 1 ];\n\t\t\tprograms.pop();\n\n\t\t\t// Free WebGL resources\n\t\t\tprogram.destroy();\n\n\t\t}\n\n\t}\n\n\tfunction releaseShaderCache( material ) {\n\n\t\t_customShaders.remove( material );\n\n\t}\n\n\tfunction dispose() {\n\n\t\t_customShaders.dispose();\n\n\t}\n\n\treturn {\n\t\tgetParameters: getParameters,\n\t\tgetProgramCacheKey: getProgramCacheKey,\n\t\tgetUniforms: getUniforms,\n\t\tacquireProgram: acquireProgram,\n\t\treleaseProgram: releaseProgram,\n\t\treleaseShaderCache: releaseShaderCache,\n\t\t// Exposed for resource monitoring & error feedback via renderer.info:\n\t\tprograms: programs,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction WebGLProperties() {\n\n\tlet properties = new WeakMap();\n\n\tfunction get( object ) {\n\n\t\tlet map = properties.get( object );\n\n\t\tif ( map === undefined ) {\n\n\t\t\tmap = {};\n\t\t\tproperties.set( object, map );\n\n\t\t}\n\n\t\treturn map;\n\n\t}\n\n\tfunction remove( object ) {\n\n\t\tproperties.delete( object );\n\n\t}\n\n\tfunction update( object, key, value ) {\n\n\t\tproperties.get( object )[ key ] = value;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tproperties = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tremove: remove,\n\t\tupdate: update,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction painterSortStable( a, b ) {\n\n\tif ( a.groupOrder !== b.groupOrder ) {\n\n\t\treturn a.groupOrder - b.groupOrder;\n\n\t} else if ( a.renderOrder !== b.renderOrder ) {\n\n\t\treturn a.renderOrder - b.renderOrder;\n\n\t} else if ( a.material.id !== b.material.id ) {\n\n\t\treturn a.material.id - b.material.id;\n\n\t} else if ( a.z !== b.z ) {\n\n\t\treturn a.z - b.z;\n\n\t} else {\n\n\t\treturn a.id - b.id;\n\n\t}\n\n}\n\nfunction reversePainterSortStable( a, b ) {\n\n\tif ( a.groupOrder !== b.groupOrder ) {\n\n\t\treturn a.groupOrder - b.groupOrder;\n\n\t} else if ( a.renderOrder !== b.renderOrder ) {\n\n\t\treturn a.renderOrder - b.renderOrder;\n\n\t} else if ( a.z !== b.z ) {\n\n\t\treturn b.z - a.z;\n\n\t} else {\n\n\t\treturn a.id - b.id;\n\n\t}\n\n}\n\n\nfunction WebGLRenderList() {\n\n\tconst renderItems = [];\n\tlet renderItemsIndex = 0;\n\n\tconst opaque = [];\n\tconst transmissive = [];\n\tconst transparent = [];\n\n\tfunction init() {\n\n\t\trenderItemsIndex = 0;\n\n\t\topaque.length = 0;\n\t\ttransmissive.length = 0;\n\t\ttransparent.length = 0;\n\n\t}\n\n\tfunction getNextRenderItem( object, geometry, material, groupOrder, z, group ) {\n\n\t\tlet renderItem = renderItems[ renderItemsIndex ];\n\n\t\tif ( renderItem === undefined ) {\n\n\t\t\trenderItem = {\n\t\t\t\tid: object.id,\n\t\t\t\tobject: object,\n\t\t\t\tgeometry: geometry,\n\t\t\t\tmaterial: material,\n\t\t\t\tgroupOrder: groupOrder,\n\t\t\t\trenderOrder: object.renderOrder,\n\t\t\t\tz: z,\n\t\t\t\tgroup: group\n\t\t\t};\n\n\t\t\trenderItems[ renderItemsIndex ] = renderItem;\n\n\t\t} else {\n\n\t\t\trenderItem.id = object.id;\n\t\t\trenderItem.object = object;\n\t\t\trenderItem.geometry = geometry;\n\t\t\trenderItem.material = material;\n\t\t\trenderItem.groupOrder = groupOrder;\n\t\t\trenderItem.renderOrder = object.renderOrder;\n\t\t\trenderItem.z = z;\n\t\t\trenderItem.group = group;\n\n\t\t}\n\n\t\trenderItemsIndex ++;\n\n\t\treturn renderItem;\n\n\t}\n\n\tfunction push( object, geometry, material, groupOrder, z, group ) {\n\n\t\tconst renderItem = getNextRenderItem( object, geometry, material, groupOrder, z, group );\n\n\t\tif ( material.transmission > 0.0 ) {\n\n\t\t\ttransmissive.push( renderItem );\n\n\t\t} else if ( material.transparent === true ) {\n\n\t\t\ttransparent.push( renderItem );\n\n\t\t} else {\n\n\t\t\topaque.push( renderItem );\n\n\t\t}\n\n\t}\n\n\tfunction unshift( object, geometry, material, groupOrder, z, group ) {\n\n\t\tconst renderItem = getNextRenderItem( object, geometry, material, groupOrder, z, group );\n\n\t\tif ( material.transmission > 0.0 ) {\n\n\t\t\ttransmissive.unshift( renderItem );\n\n\t\t} else if ( material.transparent === true ) {\n\n\t\t\ttransparent.unshift( renderItem );\n\n\t\t} else {\n\n\t\t\topaque.unshift( renderItem );\n\n\t\t}\n\n\t}\n\n\tfunction sort( customOpaqueSort, customTransparentSort ) {\n\n\t\tif ( opaque.length > 1 ) opaque.sort( customOpaqueSort || painterSortStable );\n\t\tif ( transmissive.length > 1 ) transmissive.sort( customTransparentSort || reversePainterSortStable );\n\t\tif ( transparent.length > 1 ) transparent.sort( customTransparentSort || reversePainterSortStable );\n\n\t}\n\n\tfunction finish() {\n\n\t\t// Clear references from inactive renderItems in the list\n\n\t\tfor ( let i = renderItemsIndex, il = renderItems.length; i < il; i ++ ) {\n\n\t\t\tconst renderItem = renderItems[ i ];\n\n\t\t\tif ( renderItem.id === null ) break;\n\n\t\t\trenderItem.id = null;\n\t\t\trenderItem.object = null;\n\t\t\trenderItem.geometry = null;\n\t\t\trenderItem.material = null;\n\t\t\trenderItem.group = null;\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\topaque: opaque,\n\t\ttransmissive: transmissive,\n\t\ttransparent: transparent,\n\n\t\tinit: init,\n\t\tpush: push,\n\t\tunshift: unshift,\n\t\tfinish: finish,\n\n\t\tsort: sort\n\t};\n\n}\n\nfunction WebGLRenderLists() {\n\n\tlet lists = new WeakMap();\n\n\tfunction get( scene, renderCallDepth ) {\n\n\t\tconst listArray = lists.get( scene );\n\t\tlet list;\n\n\t\tif ( listArray === undefined ) {\n\n\t\t\tlist = new WebGLRenderList();\n\t\t\tlists.set( scene, [ list ] );\n\n\t\t} else {\n\n\t\t\tif ( renderCallDepth >= listArray.length ) {\n\n\t\t\t\tlist = new WebGLRenderList();\n\t\t\t\tlistArray.push( list );\n\n\t\t\t} else {\n\n\t\t\t\tlist = listArray[ renderCallDepth ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn list;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tlists = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction UniformsCache() {\n\n\tconst lights = {};\n\n\treturn {\n\n\t\tget: function ( light ) {\n\n\t\t\tif ( lights[ light.id ] !== undefined ) {\n\n\t\t\t\treturn lights[ light.id ];\n\n\t\t\t}\n\n\t\t\tlet uniforms;\n\n\t\t\tswitch ( light.type ) {\n\n\t\t\t\tcase 'DirectionalLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tcolor: new Color()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'SpotLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tdistance: 0,\n\t\t\t\t\t\tconeCos: 0,\n\t\t\t\t\t\tpenumbraCos: 0,\n\t\t\t\t\t\tdecay: 0\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'PointLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tdistance: 0,\n\t\t\t\t\t\tdecay: 0\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'HemisphereLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tskyColor: new Color(),\n\t\t\t\t\t\tgroundColor: new Color()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'RectAreaLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\thalfWidth: new Vector3(),\n\t\t\t\t\t\thalfHeight: new Vector3()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tlights[ light.id ] = uniforms;\n\n\t\t\treturn uniforms;\n\n\t\t}\n\n\t};\n\n}\n\nfunction ShadowUniformsCache() {\n\n\tconst lights = {};\n\n\treturn {\n\n\t\tget: function ( light ) {\n\n\t\t\tif ( lights[ light.id ] !== undefined ) {\n\n\t\t\t\treturn lights[ light.id ];\n\n\t\t\t}\n\n\t\t\tlet uniforms;\n\n\t\t\tswitch ( light.type ) {\n\n\t\t\t\tcase 'DirectionalLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'SpotLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'PointLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2(),\n\t\t\t\t\t\tshadowCameraNear: 1,\n\t\t\t\t\t\tshadowCameraFar: 1000\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\t// TODO (abelnation): set RectAreaLight shadow uniforms\n\n\t\t\t}\n\n\t\t\tlights[ light.id ] = uniforms;\n\n\t\t\treturn uniforms;\n\n\t\t}\n\n\t};\n\n}\n\n\n\nlet nextVersion = 0;\n\nfunction shadowCastingAndTexturingLightsFirst( lightA, lightB ) {\n\n\treturn ( lightB.castShadow ? 2 : 0 ) - ( lightA.castShadow ? 2 : 0 ) + ( lightB.map ? 1 : 0 ) - ( lightA.map ? 1 : 0 );\n\n}\n\nfunction WebGLLights( extensions, capabilities ) {\n\n\tconst cache = new UniformsCache();\n\n\tconst shadowCache = ShadowUniformsCache();\n\n\tconst state = {\n\n\t\tversion: 0,\n\n\t\thash: {\n\t\t\tdirectionalLength: - 1,\n\t\t\tpointLength: - 1,\n\t\t\tspotLength: - 1,\n\t\t\trectAreaLength: - 1,\n\t\t\themiLength: - 1,\n\n\t\t\tnumDirectionalShadows: - 1,\n\t\t\tnumPointShadows: - 1,\n\t\t\tnumSpotShadows: - 1,\n\t\t\tnumSpotMaps: - 1,\n\n\t\t\tnumLightProbes: - 1\n\t\t},\n\n\t\tambient: [ 0, 0, 0 ],\n\t\tprobe: [],\n\t\tdirectional: [],\n\t\tdirectionalShadow: [],\n\t\tdirectionalShadowMap: [],\n\t\tdirectionalShadowMatrix: [],\n\t\tspot: [],\n\t\tspotLightMap: [],\n\t\tspotShadow: [],\n\t\tspotShadowMap: [],\n\t\tspotLightMatrix: [],\n\t\trectArea: [],\n\t\trectAreaLTC1: null,\n\t\trectAreaLTC2: null,\n\t\tpoint: [],\n\t\tpointShadow: [],\n\t\tpointShadowMap: [],\n\t\tpointShadowMatrix: [],\n\t\themi: [],\n\t\tnumSpotLightShadowsWithMaps: 0,\n\t\tnumLightProbes: 0\n\n\t};\n\n\tfor ( let i = 0; i < 9; i ++ ) state.probe.push( new Vector3() );\n\n\tconst vector3 = new Vector3();\n\tconst matrix4 = new Matrix4();\n\tconst matrix42 = new Matrix4();\n\n\tfunction setup( lights, useLegacyLights ) {\n\n\t\tlet r = 0, g = 0, b = 0;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) state.probe[ i ].set( 0, 0, 0 );\n\n\t\tlet directionalLength = 0;\n\t\tlet pointLength = 0;\n\t\tlet spotLength = 0;\n\t\tlet rectAreaLength = 0;\n\t\tlet hemiLength = 0;\n\n\t\tlet numDirectionalShadows = 0;\n\t\tlet numPointShadows = 0;\n\t\tlet numSpotShadows = 0;\n\t\tlet numSpotMaps = 0;\n\t\tlet numSpotShadowsWithMaps = 0;\n\n\t\tlet numLightProbes = 0;\n\n\t\t// ordering : [shadow casting + map texturing, map texturing, shadow casting, none ]\n\t\tlights.sort( shadowCastingAndTexturingLightsFirst );\n\n\t\t// artist-friendly light intensity scaling factor\n\t\tconst scaleFactor = ( useLegacyLights === true ) ? Math.PI : 1;\n\n\t\tfor ( let i = 0, l = lights.length; i < l; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\n\t\t\tconst color = light.color;\n\t\t\tconst intensity = light.intensity;\n\t\t\tconst distance = light.distance;\n\n\t\t\tconst shadowMap = ( light.shadow && light.shadow.map ) ? light.shadow.map.texture : null;\n\n\t\t\tif ( light.isAmbientLight ) {\n\n\t\t\t\tr += color.r * intensity * scaleFactor;\n\t\t\t\tg += color.g * intensity * scaleFactor;\n\t\t\t\tb += color.b * intensity * scaleFactor;\n\n\t\t\t} else if ( light.isLightProbe ) {\n\n\t\t\t\tfor ( let j = 0; j < 9; j ++ ) {\n\n\t\t\t\t\tstate.probe[ j ].addScaledVector( light.sh.coefficients[ j ], intensity );\n\n\t\t\t\t}\n\n\t\t\t\tnumLightProbes ++;\n\n\t\t\t} else if ( light.isDirectionalLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( light.color ).multiplyScalar( light.intensity * scaleFactor );\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\n\t\t\t\t\tstate.directionalShadow[ directionalLength ] = shadowUniforms;\n\t\t\t\t\tstate.directionalShadowMap[ directionalLength ] = shadowMap;\n\t\t\t\t\tstate.directionalShadowMatrix[ directionalLength ] = light.shadow.matrix;\n\n\t\t\t\t\tnumDirectionalShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.directional[ directionalLength ] = uniforms;\n\n\t\t\t\tdirectionalLength ++;\n\n\t\t\t} else if ( light.isSpotLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\n\t\t\t\tuniforms.color.copy( color ).multiplyScalar( intensity * scaleFactor );\n\t\t\t\tuniforms.distance = distance;\n\n\t\t\t\tuniforms.coneCos = Math.cos( light.angle );\n\t\t\t\tuniforms.penumbraCos = Math.cos( light.angle * ( 1 - light.penumbra ) );\n\t\t\t\tuniforms.decay = light.decay;\n\n\t\t\t\tstate.spot[ spotLength ] = uniforms;\n\n\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\tif ( light.map ) {\n\n\t\t\t\t\tstate.spotLightMap[ numSpotMaps ] = light.map;\n\t\t\t\t\tnumSpotMaps ++;\n\n\t\t\t\t\t// make sure the lightMatrix is up to date\n\t\t\t\t\t// TODO : do it if required only\n\t\t\t\t\tshadow.updateMatrices( light );\n\n\t\t\t\t\tif ( light.castShadow ) numSpotShadowsWithMaps ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.spotLightMatrix[ spotLength ] = shadow.matrix;\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\n\t\t\t\t\tstate.spotShadow[ spotLength ] = shadowUniforms;\n\t\t\t\t\tstate.spotShadowMap[ spotLength ] = shadowMap;\n\n\t\t\t\t\tnumSpotShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tspotLength ++;\n\n\t\t\t} else if ( light.isRectAreaLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( color ).multiplyScalar( intensity );\n\n\t\t\t\tuniforms.halfWidth.set( light.width * 0.5, 0.0, 0.0 );\n\t\t\t\tuniforms.halfHeight.set( 0.0, light.height * 0.5, 0.0 );\n\n\t\t\t\tstate.rectArea[ rectAreaLength ] = uniforms;\n\n\t\t\t\trectAreaLength ++;\n\n\t\t\t} else if ( light.isPointLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( light.color ).multiplyScalar( light.intensity * scaleFactor );\n\t\t\t\tuniforms.distance = light.distance;\n\t\t\t\tuniforms.decay = light.decay;\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\t\t\t\t\tshadowUniforms.shadowCameraNear = shadow.camera.near;\n\t\t\t\t\tshadowUniforms.shadowCameraFar = shadow.camera.far;\n\n\t\t\t\t\tstate.pointShadow[ pointLength ] = shadowUniforms;\n\t\t\t\t\tstate.pointShadowMap[ pointLength ] = shadowMap;\n\t\t\t\t\tstate.pointShadowMatrix[ pointLength ] = light.shadow.matrix;\n\n\t\t\t\t\tnumPointShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.point[ pointLength ] = uniforms;\n\n\t\t\t\tpointLength ++;\n\n\t\t\t} else if ( light.isHemisphereLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.skyColor.copy( light.color ).multiplyScalar( intensity * scaleFactor );\n\t\t\t\tuniforms.groundColor.copy( light.groundColor ).multiplyScalar( intensity * scaleFactor );\n\n\t\t\t\tstate.hemi[ hemiLength ] = uniforms;\n\n\t\t\t\themiLength ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( rectAreaLength > 0 ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\t// WebGL 2\n\n\t\t\t\tif ( extensions.has( 'OES_texture_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// WebGL 1\n\n\t\t\t\tif ( extensions.has( 'OES_texture_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\n\n\t\t\t\t} else if ( extensions.has( 'OES_texture_half_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.ambient[ 0 ] = r;\n\t\tstate.ambient[ 1 ] = g;\n\t\tstate.ambient[ 2 ] = b;\n\n\t\tconst hash = state.hash;\n\n\t\tif ( hash.directionalLength !== directionalLength ||\n\t\t\thash.pointLength !== pointLength ||\n\t\t\thash.spotLength !== spotLength ||\n\t\t\thash.rectAreaLength !== rectAreaLength ||\n\t\t\thash.hemiLength !== hemiLength ||\n\t\t\thash.numDirectionalShadows !== numDirectionalShadows ||\n\t\t\thash.numPointShadows !== numPointShadows ||\n\t\t\thash.numSpotShadows !== numSpotShadows ||\n\t\t\thash.numSpotMaps !== numSpotMaps ||\n\t\t\thash.numLightProbes !== numLightProbes ) {\n\n\t\t\tstate.directional.length = directionalLength;\n\t\t\tstate.spot.length = spotLength;\n\t\t\tstate.rectArea.length = rectAreaLength;\n\t\t\tstate.point.length = pointLength;\n\t\t\tstate.hemi.length = hemiLength;\n\n\t\t\tstate.directionalShadow.length = numDirectionalShadows;\n\t\t\tstate.directionalShadowMap.length = numDirectionalShadows;\n\t\t\tstate.pointShadow.length = numPointShadows;\n\t\t\tstate.pointShadowMap.length = numPointShadows;\n\t\t\tstate.spotShadow.length = numSpotShadows;\n\t\t\tstate.spotShadowMap.length = numSpotShadows;\n\t\t\tstate.directionalShadowMatrix.length = numDirectionalShadows;\n\t\t\tstate.pointShadowMatrix.length = numPointShadows;\n\t\t\tstate.spotLightMatrix.length = numSpotShadows + numSpotMaps - numSpotShadowsWithMaps;\n\t\t\tstate.spotLightMap.length = numSpotMaps;\n\t\t\tstate.numSpotLightShadowsWithMaps = numSpotShadowsWithMaps;\n\t\t\tstate.numLightProbes = numLightProbes;\n\n\t\t\thash.directionalLength = directionalLength;\n\t\t\thash.pointLength = pointLength;\n\t\t\thash.spotLength = spotLength;\n\t\t\thash.rectAreaLength = rectAreaLength;\n\t\t\thash.hemiLength = hemiLength;\n\n\t\t\thash.numDirectionalShadows = numDirectionalShadows;\n\t\t\thash.numPointShadows = numPointShadows;\n\t\t\thash.numSpotShadows = numSpotShadows;\n\t\t\thash.numSpotMaps = numSpotMaps;\n\n\t\t\thash.numLightProbes = numLightProbes;\n\n\t\t\tstate.version = nextVersion ++;\n\n\t\t}\n\n\t}\n\n\tfunction setupView( lights, camera ) {\n\n\t\tlet directionalLength = 0;\n\t\tlet pointLength = 0;\n\t\tlet spotLength = 0;\n\t\tlet rectAreaLength = 0;\n\t\tlet hemiLength = 0;\n\n\t\tconst viewMatrix = camera.matrixWorldInverse;\n\n\t\tfor ( let i = 0, l = lights.length; i < l; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\n\t\t\tif ( light.isDirectionalLight ) {\n\n\t\t\t\tconst uniforms = state.directional[ directionalLength ];\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tvector3.setFromMatrixPosition( light.target.matrixWorld );\n\t\t\t\tuniforms.direction.sub( vector3 );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\tdirectionalLength ++;\n\n\t\t\t} else if ( light.isSpotLight ) {\n\n\t\t\t\tconst uniforms = state.spot[ spotLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tvector3.setFromMatrixPosition( light.target.matrixWorld );\n\t\t\t\tuniforms.direction.sub( vector3 );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\tspotLength ++;\n\n\t\t\t} else if ( light.isRectAreaLight ) {\n\n\t\t\t\tconst uniforms = state.rectArea[ rectAreaLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\t// extract local rotation of light to derive width/height half vectors\n\t\t\t\tmatrix42.identity();\n\t\t\t\tmatrix4.copy( light.matrixWorld );\n\t\t\t\tmatrix4.premultiply( viewMatrix );\n\t\t\t\tmatrix42.extractRotation( matrix4 );\n\n\t\t\t\tuniforms.halfWidth.set( light.width * 0.5, 0.0, 0.0 );\n\t\t\t\tuniforms.halfHeight.set( 0.0, light.height * 0.5, 0.0 );\n\n\t\t\t\tuniforms.halfWidth.applyMatrix4( matrix42 );\n\t\t\t\tuniforms.halfHeight.applyMatrix4( matrix42 );\n\n\t\t\t\trectAreaLength ++;\n\n\t\t\t} else if ( light.isPointLight ) {\n\n\t\t\t\tconst uniforms = state.point[ pointLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\tpointLength ++;\n\n\t\t\t} else if ( light.isHemisphereLight ) {\n\n\t\t\t\tconst uniforms = state.hemi[ hemiLength ];\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\themiLength ++;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tsetup: setup,\n\t\tsetupView: setupView,\n\t\tstate: state\n\t};\n\n}\n\nfunction WebGLRenderState( extensions, capabilities ) {\n\n\tconst lights = new WebGLLights( extensions, capabilities );\n\n\tconst lightsArray = [];\n\tconst shadowsArray = [];\n\n\tfunction init() {\n\n\t\tlightsArray.length = 0;\n\t\tshadowsArray.length = 0;\n\n\t}\n\n\tfunction pushLight( light ) {\n\n\t\tlightsArray.push( light );\n\n\t}\n\n\tfunction pushShadow( shadowLight ) {\n\n\t\tshadowsArray.push( shadowLight );\n\n\t}\n\n\tfunction setupLights( useLegacyLights ) {\n\n\t\tlights.setup( lightsArray, useLegacyLights );\n\n\t}\n\n\tfunction setupLightsView( camera ) {\n\n\t\tlights.setupView( lightsArray, camera );\n\n\t}\n\n\tconst state = {\n\t\tlightsArray: lightsArray,\n\t\tshadowsArray: shadowsArray,\n\n\t\tlights: lights\n\t};\n\n\treturn {\n\t\tinit: init,\n\t\tstate: state,\n\t\tsetupLights: setupLights,\n\t\tsetupLightsView: setupLightsView,\n\n\t\tpushLight: pushLight,\n\t\tpushShadow: pushShadow\n\t};\n\n}\n\nfunction WebGLRenderStates( extensions, capabilities ) {\n\n\tlet renderStates = new WeakMap();\n\n\tfunction get( scene, renderCallDepth = 0 ) {\n\n\t\tconst renderStateArray = renderStates.get( scene );\n\t\tlet renderState;\n\n\t\tif ( renderStateArray === undefined ) {\n\n\t\t\trenderState = new WebGLRenderState( extensions, capabilities );\n\t\t\trenderStates.set( scene, [ renderState ] );\n\n\t\t} else {\n\n\t\t\tif ( renderCallDepth >= renderStateArray.length ) {\n\n\t\t\t\trenderState = new WebGLRenderState( extensions, capabilities );\n\t\t\t\trenderStateArray.push( renderState );\n\n\t\t\t} else {\n\n\t\t\t\trenderState = renderStateArray[ renderCallDepth ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn renderState;\n\n\t}\n\n\tfunction dispose() {\n\n\t\trenderStates = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nclass MeshDepthMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshDepthMaterial = true;\n\n\t\tthis.type = 'MeshDepthMaterial';\n\n\t\tthis.depthPacking = BasicDepthPacking;\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.depthPacking = source.depthPacking;\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshDistanceMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshDistanceMaterial = true;\n\n\t\tthis.type = 'MeshDistanceMaterial';\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst vertex = \"void main() {\\n\\tgl_Position = vec4( position, 1.0 );\\n}\";\n\nconst fragment = \"uniform sampler2D shadow_pass;\\nuniform vec2 resolution;\\nuniform float radius;\\n#include \\nvoid main() {\\n\\tconst float samples = float( VSM_SAMPLES );\\n\\tfloat mean = 0.0;\\n\\tfloat squared_mean = 0.0;\\n\\tfloat uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );\\n\\tfloat uvStart = samples <= 1.0 ? 0.0 : - 1.0;\\n\\tfor ( float i = 0.0; i < samples; i ++ ) {\\n\\t\\tfloat uvOffset = uvStart + i * uvStride;\\n\\t\\t#ifdef HORIZONTAL_PASS\\n\\t\\t\\tvec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );\\n\\t\\t\\tmean += distribution.x;\\n\\t\\t\\tsquared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\n\\t\\t#else\\n\\t\\t\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );\\n\\t\\t\\tmean += depth;\\n\\t\\t\\tsquared_mean += depth * depth;\\n\\t\\t#endif\\n\\t}\\n\\tmean = mean / samples;\\n\\tsquared_mean = squared_mean / samples;\\n\\tfloat std_dev = sqrt( squared_mean - mean * mean );\\n\\tgl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\n}\";\n\nfunction WebGLShadowMap( _renderer, _objects, _capabilities ) {\n\n\tlet _frustum = new Frustum();\n\n\tconst _shadowMapSize = new Vector2(),\n\t\t_viewportSize = new Vector2(),\n\n\t\t_viewport = new Vector4(),\n\n\t\t_depthMaterial = new MeshDepthMaterial( { depthPacking: RGBADepthPacking } ),\n\t\t_distanceMaterial = new MeshDistanceMaterial(),\n\n\t\t_materialCache = {},\n\n\t\t_maxTextureSize = _capabilities.maxTextureSize;\n\n\tconst shadowSide = { [ FrontSide ]: BackSide, [ BackSide ]: FrontSide, [ DoubleSide ]: DoubleSide };\n\n\tconst shadowMaterialVertical = new ShaderMaterial( {\n\t\tdefines: {\n\t\t\tVSM_SAMPLES: 8\n\t\t},\n\t\tuniforms: {\n\t\t\tshadow_pass: { value: null },\n\t\t\tresolution: { value: new Vector2() },\n\t\t\tradius: { value: 4.0 }\n\t\t},\n\n\t\tvertexShader: vertex,\n\t\tfragmentShader: fragment\n\n\t} );\n\n\tconst shadowMaterialHorizontal = shadowMaterialVertical.clone();\n\tshadowMaterialHorizontal.defines.HORIZONTAL_PASS = 1;\n\n\tconst fullScreenTri = new BufferGeometry();\n\tfullScreenTri.setAttribute(\n\t\t'position',\n\t\tnew BufferAttribute(\n\t\t\tnew Float32Array( [ - 1, - 1, 0.5, 3, - 1, 0.5, - 1, 3, 0.5 ] ),\n\t\t\t3\n\t\t)\n\t);\n\n\tconst fullScreenMesh = new Mesh( fullScreenTri, shadowMaterialVertical );\n\n\tconst scope = this;\n\n\tthis.enabled = false;\n\n\tthis.autoUpdate = true;\n\tthis.needsUpdate = false;\n\n\tthis.type = PCFShadowMap;\n\tlet _previousType = this.type;\n\n\tthis.render = function ( lights, scene, camera ) {\n\n\t\tif ( scope.enabled === false ) return;\n\t\tif ( scope.autoUpdate === false && scope.needsUpdate === false ) return;\n\n\t\tif ( lights.length === 0 ) return;\n\n\t\tconst currentRenderTarget = _renderer.getRenderTarget();\n\t\tconst activeCubeFace = _renderer.getActiveCubeFace();\n\t\tconst activeMipmapLevel = _renderer.getActiveMipmapLevel();\n\n\t\tconst _state = _renderer.state;\n\n\t\t// Set GL state for depth map.\n\t\t_state.setBlending( NoBlending );\n\t\t_state.buffers.color.setClear( 1, 1, 1, 1 );\n\t\t_state.buffers.depth.setTest( true );\n\t\t_state.setScissorTest( false );\n\n\t\t// check for shadow map type changes\n\n\t\tconst toVSM = ( _previousType !== VSMShadowMap && this.type === VSMShadowMap );\n\t\tconst fromVSM = ( _previousType === VSMShadowMap && this.type !== VSMShadowMap );\n\n\t\t// render depth map\n\n\t\tfor ( let i = 0, il = lights.length; i < il; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\t\t\tconst shadow = light.shadow;\n\n\t\t\tif ( shadow === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLShadowMap:', light, 'has no shadow.' );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( shadow.autoUpdate === false && shadow.needsUpdate === false ) continue;\n\n\t\t\t_shadowMapSize.copy( shadow.mapSize );\n\n\t\t\tconst shadowFrameExtents = shadow.getFrameExtents();\n\n\t\t\t_shadowMapSize.multiply( shadowFrameExtents );\n\n\t\t\t_viewportSize.copy( shadow.mapSize );\n\n\t\t\tif ( _shadowMapSize.x > _maxTextureSize || _shadowMapSize.y > _maxTextureSize ) {\n\n\t\t\t\tif ( _shadowMapSize.x > _maxTextureSize ) {\n\n\t\t\t\t\t_viewportSize.x = Math.floor( _maxTextureSize / shadowFrameExtents.x );\n\t\t\t\t\t_shadowMapSize.x = _viewportSize.x * shadowFrameExtents.x;\n\t\t\t\t\tshadow.mapSize.x = _viewportSize.x;\n\n\t\t\t\t}\n\n\t\t\t\tif ( _shadowMapSize.y > _maxTextureSize ) {\n\n\t\t\t\t\t_viewportSize.y = Math.floor( _maxTextureSize / shadowFrameExtents.y );\n\t\t\t\t\t_shadowMapSize.y = _viewportSize.y * shadowFrameExtents.y;\n\t\t\t\t\tshadow.mapSize.y = _viewportSize.y;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( shadow.map === null || toVSM === true || fromVSM === true ) {\n\n\t\t\t\tconst pars = ( this.type !== VSMShadowMap ) ? { minFilter: NearestFilter, magFilter: NearestFilter } : {};\n\n\t\t\t\tif ( shadow.map !== null ) {\n\n\t\t\t\t\tshadow.map.dispose();\n\n\t\t\t\t}\n\n\t\t\t\tshadow.map = new WebGLRenderTarget( _shadowMapSize.x, _shadowMapSize.y, pars );\n\t\t\t\tshadow.map.texture.name = light.name + '.shadowMap';\n\n\t\t\t\tshadow.camera.updateProjectionMatrix();\n\n\t\t\t}\n\n\t\t\t_renderer.setRenderTarget( shadow.map );\n\t\t\t_renderer.clear();\n\n\t\t\tconst viewportCount = shadow.getViewportCount();\n\n\t\t\tfor ( let vp = 0; vp < viewportCount; vp ++ ) {\n\n\t\t\t\tconst viewport = shadow.getViewport( vp );\n\n\t\t\t\t_viewport.set(\n\t\t\t\t\t_viewportSize.x * viewport.x,\n\t\t\t\t\t_viewportSize.y * viewport.y,\n\t\t\t\t\t_viewportSize.x * viewport.z,\n\t\t\t\t\t_viewportSize.y * viewport.w\n\t\t\t\t);\n\n\t\t\t\t_state.viewport( _viewport );\n\n\t\t\t\tshadow.updateMatrices( light, vp );\n\n\t\t\t\t_frustum = shadow.getFrustum();\n\n\t\t\t\trenderObject( scene, camera, shadow.camera, light, this.type );\n\n\t\t\t}\n\n\t\t\t// do blur pass for VSM\n\n\t\t\tif ( shadow.isPointLightShadow !== true && this.type === VSMShadowMap ) {\n\n\t\t\t\tVSMPass( shadow, camera );\n\n\t\t\t}\n\n\t\t\tshadow.needsUpdate = false;\n\n\t\t}\n\n\t\t_previousType = this.type;\n\n\t\tscope.needsUpdate = false;\n\n\t\t_renderer.setRenderTarget( currentRenderTarget, activeCubeFace, activeMipmapLevel );\n\n\t};\n\n\tfunction VSMPass( shadow, camera ) {\n\n\t\tconst geometry = _objects.update( fullScreenMesh );\n\n\t\tif ( shadowMaterialVertical.defines.VSM_SAMPLES !== shadow.blurSamples ) {\n\n\t\t\tshadowMaterialVertical.defines.VSM_SAMPLES = shadow.blurSamples;\n\t\t\tshadowMaterialHorizontal.defines.VSM_SAMPLES = shadow.blurSamples;\n\n\t\t\tshadowMaterialVertical.needsUpdate = true;\n\t\t\tshadowMaterialHorizontal.needsUpdate = true;\n\n\t\t}\n\n\t\tif ( shadow.mapPass === null ) {\n\n\t\t\tshadow.mapPass = new WebGLRenderTarget( _shadowMapSize.x, _shadowMapSize.y );\n\n\t\t}\n\n\t\t// vertical pass\n\n\t\tshadowMaterialVertical.uniforms.shadow_pass.value = shadow.map.texture;\n\t\tshadowMaterialVertical.uniforms.resolution.value = shadow.mapSize;\n\t\tshadowMaterialVertical.uniforms.radius.value = shadow.radius;\n\t\t_renderer.setRenderTarget( shadow.mapPass );\n\t\t_renderer.clear();\n\t\t_renderer.renderBufferDirect( camera, null, geometry, shadowMaterialVertical, fullScreenMesh, null );\n\n\t\t// horizontal pass\n\n\t\tshadowMaterialHorizontal.uniforms.shadow_pass.value = shadow.mapPass.texture;\n\t\tshadowMaterialHorizontal.uniforms.resolution.value = shadow.mapSize;\n\t\tshadowMaterialHorizontal.uniforms.radius.value = shadow.radius;\n\t\t_renderer.setRenderTarget( shadow.map );\n\t\t_renderer.clear();\n\t\t_renderer.renderBufferDirect( camera, null, geometry, shadowMaterialHorizontal, fullScreenMesh, null );\n\n\t}\n\n\tfunction getDepthMaterial( object, material, light, type ) {\n\n\t\tlet result = null;\n\n\t\tconst customMaterial = ( light.isPointLight === true ) ? object.customDistanceMaterial : object.customDepthMaterial;\n\n\t\tif ( customMaterial !== undefined ) {\n\n\t\t\tresult = customMaterial;\n\n\t\t} else {\n\n\t\t\tresult = ( light.isPointLight === true ) ? _distanceMaterial : _depthMaterial;\n\n\t\t\tif ( ( _renderer.localClippingEnabled && material.clipShadows === true && Array.isArray( material.clippingPlanes ) && material.clippingPlanes.length !== 0 ) ||\n\t\t\t\t( material.displacementMap && material.displacementScale !== 0 ) ||\n\t\t\t\t( material.alphaMap && material.alphaTest > 0 ) ||\n\t\t\t\t( material.map && material.alphaTest > 0 ) ) {\n\n\t\t\t\t// in this case we need a unique material instance reflecting the\n\t\t\t\t// appropriate state\n\n\t\t\t\tconst keyA = result.uuid, keyB = material.uuid;\n\n\t\t\t\tlet materialsForVariant = _materialCache[ keyA ];\n\n\t\t\t\tif ( materialsForVariant === undefined ) {\n\n\t\t\t\t\tmaterialsForVariant = {};\n\t\t\t\t\t_materialCache[ keyA ] = materialsForVariant;\n\n\t\t\t\t}\n\n\t\t\t\tlet cachedMaterial = materialsForVariant[ keyB ];\n\n\t\t\t\tif ( cachedMaterial === undefined ) {\n\n\t\t\t\t\tcachedMaterial = result.clone();\n\t\t\t\t\tmaterialsForVariant[ keyB ] = cachedMaterial;\n\t\t\t\t\tmaterial.addEventListener( 'dispose', onMaterialDispose );\n\n\t\t\t\t}\n\n\t\t\t\tresult = cachedMaterial;\n\n\t\t\t}\n\n\t\t}\n\n\t\tresult.visible = material.visible;\n\t\tresult.wireframe = material.wireframe;\n\n\t\tif ( type === VSMShadowMap ) {\n\n\t\t\tresult.side = ( material.shadowSide !== null ) ? material.shadowSide : material.side;\n\n\t\t} else {\n\n\t\t\tresult.side = ( material.shadowSide !== null ) ? material.shadowSide : shadowSide[ material.side ];\n\n\t\t}\n\n\t\tresult.alphaMap = material.alphaMap;\n\t\tresult.alphaTest = material.alphaTest;\n\t\tresult.map = material.map;\n\n\t\tresult.clipShadows = material.clipShadows;\n\t\tresult.clippingPlanes = material.clippingPlanes;\n\t\tresult.clipIntersection = material.clipIntersection;\n\n\t\tresult.displacementMap = material.displacementMap;\n\t\tresult.displacementScale = material.displacementScale;\n\t\tresult.displacementBias = material.displacementBias;\n\n\t\tresult.wireframeLinewidth = material.wireframeLinewidth;\n\t\tresult.linewidth = material.linewidth;\n\n\t\tif ( light.isPointLight === true && result.isMeshDistanceMaterial === true ) {\n\n\t\t\tconst materialProperties = _renderer.properties.get( result );\n\t\t\tmaterialProperties.light = light;\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\tfunction renderObject( object, camera, shadowCamera, light, type ) {\n\n\t\tif ( object.visible === false ) return;\n\n\t\tconst visible = object.layers.test( camera.layers );\n\n\t\tif ( visible && ( object.isMesh || object.isLine || object.isPoints ) ) {\n\n\t\t\tif ( ( object.castShadow || ( object.receiveShadow && type === VSMShadowMap ) ) && ( ! object.frustumCulled || _frustum.intersectsObject( object ) ) ) {\n\n\t\t\t\tobject.modelViewMatrix.multiplyMatrices( shadowCamera.matrixWorldInverse, object.matrixWorld );\n\n\t\t\t\tconst geometry = _objects.update( object );\n\t\t\t\tconst material = object.material;\n\n\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\tconst groups = geometry.groups;\n\n\t\t\t\t\tfor ( let k = 0, kl = groups.length; k < kl; k ++ ) {\n\n\t\t\t\t\t\tconst group = groups[ k ];\n\t\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\t\tif ( groupMaterial && groupMaterial.visible ) {\n\n\t\t\t\t\t\t\tconst depthMaterial = getDepthMaterial( object, groupMaterial, light, type );\n\n\t\t\t\t\t\t\tobject.onBeforeShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, group );\n\n\t\t\t\t\t\t\t_renderer.renderBufferDirect( shadowCamera, null, geometry, depthMaterial, object, group );\n\n\t\t\t\t\t\t\tobject.onAfterShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, group );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( material.visible ) {\n\n\t\t\t\t\tconst depthMaterial = getDepthMaterial( object, material, light, type );\n\n\t\t\t\t\tobject.onBeforeShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, null );\n\n\t\t\t\t\t_renderer.renderBufferDirect( shadowCamera, null, geometry, depthMaterial, object, null );\n\n\t\t\t\t\tobject.onAfterShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, null );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\trenderObject( children[ i ], camera, shadowCamera, light, type );\n\n\t\t}\n\n\t}\n\n\tfunction onMaterialDispose( event ) {\n\n\t\tconst material = event.target;\n\n\t\tmaterial.removeEventListener( 'dispose', onMaterialDispose );\n\n\t\t// make sure to remove the unique distance/depth materials used for shadow map rendering\n\n\t\tfor ( const id in _materialCache ) {\n\n\t\t\tconst cache = _materialCache[ id ];\n\n\t\t\tconst uuid = event.target.uuid;\n\n\t\t\tif ( uuid in cache ) {\n\n\t\t\t\tconst shadowMaterial = cache[ uuid ];\n\t\t\t\tshadowMaterial.dispose();\n\t\t\t\tdelete cache[ uuid ];\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction WebGLState( gl, extensions, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tfunction ColorBuffer() {\n\n\t\tlet locked = false;\n\n\t\tconst color = new Vector4();\n\t\tlet currentColorMask = null;\n\t\tconst currentColorClear = new Vector4( 0, 0, 0, 0 );\n\n\t\treturn {\n\n\t\t\tsetMask: function ( colorMask ) {\n\n\t\t\t\tif ( currentColorMask !== colorMask && ! locked ) {\n\n\t\t\t\t\tgl.colorMask( colorMask, colorMask, colorMask, colorMask );\n\t\t\t\t\tcurrentColorMask = colorMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( r, g, b, a, premultipliedAlpha ) {\n\n\t\t\t\tif ( premultipliedAlpha === true ) {\n\n\t\t\t\t\tr *= a; g *= a; b *= a;\n\n\t\t\t\t}\n\n\t\t\t\tcolor.set( r, g, b, a );\n\n\t\t\t\tif ( currentColorClear.equals( color ) === false ) {\n\n\t\t\t\t\tgl.clearColor( r, g, b, a );\n\t\t\t\t\tcurrentColorClear.copy( color );\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentColorMask = null;\n\t\t\t\tcurrentColorClear.set( - 1, 0, 0, 0 ); // set to invalid state\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tfunction DepthBuffer() {\n\n\t\tlet locked = false;\n\n\t\tlet currentDepthMask = null;\n\t\tlet currentDepthFunc = null;\n\t\tlet currentDepthClear = null;\n\n\t\treturn {\n\n\t\t\tsetTest: function ( depthTest ) {\n\n\t\t\t\tif ( depthTest ) {\n\n\t\t\t\t\tenable( gl.DEPTH_TEST );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tdisable( gl.DEPTH_TEST );\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetMask: function ( depthMask ) {\n\n\t\t\t\tif ( currentDepthMask !== depthMask && ! locked ) {\n\n\t\t\t\t\tgl.depthMask( depthMask );\n\t\t\t\t\tcurrentDepthMask = depthMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetFunc: function ( depthFunc ) {\n\n\t\t\t\tif ( currentDepthFunc !== depthFunc ) {\n\n\t\t\t\t\tswitch ( depthFunc ) {\n\n\t\t\t\t\t\tcase NeverDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.NEVER );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AlwaysDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.ALWAYS );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase LessDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LESS );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase LessEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase EqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.EQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase GreaterEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.GEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase GreaterDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.GREATER );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase NotEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.NOTEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LEQUAL );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcurrentDepthFunc = depthFunc;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( depth ) {\n\n\t\t\t\tif ( currentDepthClear !== depth ) {\n\n\t\t\t\t\tgl.clearDepth( depth );\n\t\t\t\t\tcurrentDepthClear = depth;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentDepthMask = null;\n\t\t\t\tcurrentDepthFunc = null;\n\t\t\t\tcurrentDepthClear = null;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tfunction StencilBuffer() {\n\n\t\tlet locked = false;\n\n\t\tlet currentStencilMask = null;\n\t\tlet currentStencilFunc = null;\n\t\tlet currentStencilRef = null;\n\t\tlet currentStencilFuncMask = null;\n\t\tlet currentStencilFail = null;\n\t\tlet currentStencilZFail = null;\n\t\tlet currentStencilZPass = null;\n\t\tlet currentStencilClear = null;\n\n\t\treturn {\n\n\t\t\tsetTest: function ( stencilTest ) {\n\n\t\t\t\tif ( ! locked ) {\n\n\t\t\t\t\tif ( stencilTest ) {\n\n\t\t\t\t\t\tenable( gl.STENCIL_TEST );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tdisable( gl.STENCIL_TEST );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetMask: function ( stencilMask ) {\n\n\t\t\t\tif ( currentStencilMask !== stencilMask && ! locked ) {\n\n\t\t\t\t\tgl.stencilMask( stencilMask );\n\t\t\t\t\tcurrentStencilMask = stencilMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetFunc: function ( stencilFunc, stencilRef, stencilMask ) {\n\n\t\t\t\tif ( currentStencilFunc !== stencilFunc ||\n\t\t\t\t currentStencilRef !== stencilRef ||\n\t\t\t\t currentStencilFuncMask !== stencilMask ) {\n\n\t\t\t\t\tgl.stencilFunc( stencilFunc, stencilRef, stencilMask );\n\n\t\t\t\t\tcurrentStencilFunc = stencilFunc;\n\t\t\t\t\tcurrentStencilRef = stencilRef;\n\t\t\t\t\tcurrentStencilFuncMask = stencilMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetOp: function ( stencilFail, stencilZFail, stencilZPass ) {\n\n\t\t\t\tif ( currentStencilFail !== stencilFail ||\n\t\t\t\t currentStencilZFail !== stencilZFail ||\n\t\t\t\t currentStencilZPass !== stencilZPass ) {\n\n\t\t\t\t\tgl.stencilOp( stencilFail, stencilZFail, stencilZPass );\n\n\t\t\t\t\tcurrentStencilFail = stencilFail;\n\t\t\t\t\tcurrentStencilZFail = stencilZFail;\n\t\t\t\t\tcurrentStencilZPass = stencilZPass;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( stencil ) {\n\n\t\t\t\tif ( currentStencilClear !== stencil ) {\n\n\t\t\t\t\tgl.clearStencil( stencil );\n\t\t\t\t\tcurrentStencilClear = stencil;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentStencilMask = null;\n\t\t\t\tcurrentStencilFunc = null;\n\t\t\t\tcurrentStencilRef = null;\n\t\t\t\tcurrentStencilFuncMask = null;\n\t\t\t\tcurrentStencilFail = null;\n\t\t\t\tcurrentStencilZFail = null;\n\t\t\t\tcurrentStencilZPass = null;\n\t\t\t\tcurrentStencilClear = null;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\t//\n\n\tconst colorBuffer = new ColorBuffer();\n\tconst depthBuffer = new DepthBuffer();\n\tconst stencilBuffer = new StencilBuffer();\n\n\tconst uboBindings = new WeakMap();\n\tconst uboProgramMap = new WeakMap();\n\n\tlet enabledCapabilities = {};\n\n\tlet currentBoundFramebuffers = {};\n\tlet currentDrawbuffers = new WeakMap();\n\tlet defaultDrawbuffers = [];\n\n\tlet currentProgram = null;\n\n\tlet currentBlendingEnabled = false;\n\tlet currentBlending = null;\n\tlet currentBlendEquation = null;\n\tlet currentBlendSrc = null;\n\tlet currentBlendDst = null;\n\tlet currentBlendEquationAlpha = null;\n\tlet currentBlendSrcAlpha = null;\n\tlet currentBlendDstAlpha = null;\n\tlet currentBlendColor = new Color( 0, 0, 0 );\n\tlet currentBlendAlpha = 0;\n\tlet currentPremultipledAlpha = false;\n\n\tlet currentFlipSided = null;\n\tlet currentCullFace = null;\n\n\tlet currentLineWidth = null;\n\n\tlet currentPolygonOffsetFactor = null;\n\tlet currentPolygonOffsetUnits = null;\n\n\tconst maxTextures = gl.getParameter( gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS );\n\n\tlet lineWidthAvailable = false;\n\tlet version = 0;\n\tconst glVersion = gl.getParameter( gl.VERSION );\n\n\tif ( glVersion.indexOf( 'WebGL' ) !== - 1 ) {\n\n\t\tversion = parseFloat( /^WebGL (\\d)/.exec( glVersion )[ 1 ] );\n\t\tlineWidthAvailable = ( version >= 1.0 );\n\n\t} else if ( glVersion.indexOf( 'OpenGL ES' ) !== - 1 ) {\n\n\t\tversion = parseFloat( /^OpenGL ES (\\d)/.exec( glVersion )[ 1 ] );\n\t\tlineWidthAvailable = ( version >= 2.0 );\n\n\t}\n\n\tlet currentTextureSlot = null;\n\tlet currentBoundTextures = {};\n\n\tconst scissorParam = gl.getParameter( gl.SCISSOR_BOX );\n\tconst viewportParam = gl.getParameter( gl.VIEWPORT );\n\n\tconst currentScissor = new Vector4().fromArray( scissorParam );\n\tconst currentViewport = new Vector4().fromArray( viewportParam );\n\n\tfunction createTexture( type, target, count, dimensions ) {\n\n\t\tconst data = new Uint8Array( 4 ); // 4 is required to match default unpack alignment of 4.\n\t\tconst texture = gl.createTexture();\n\n\t\tgl.bindTexture( type, texture );\n\t\tgl.texParameteri( type, gl.TEXTURE_MIN_FILTER, gl.NEAREST );\n\t\tgl.texParameteri( type, gl.TEXTURE_MAG_FILTER, gl.NEAREST );\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tif ( isWebGL2 && ( type === gl.TEXTURE_3D || type === gl.TEXTURE_2D_ARRAY ) ) {\n\n\t\t\t\tgl.texImage3D( target, 0, gl.RGBA, 1, 1, dimensions, 0, gl.RGBA, gl.UNSIGNED_BYTE, data );\n\n\t\t\t} else {\n\n\t\t\t\tgl.texImage2D( target + i, 0, gl.RGBA, 1, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE, data );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tconst emptyTextures = {};\n\temptyTextures[ gl.TEXTURE_2D ] = createTexture( gl.TEXTURE_2D, gl.TEXTURE_2D, 1 );\n\temptyTextures[ gl.TEXTURE_CUBE_MAP ] = createTexture( gl.TEXTURE_CUBE_MAP, gl.TEXTURE_CUBE_MAP_POSITIVE_X, 6 );\n\n\tif ( isWebGL2 ) {\n\n\t\temptyTextures[ gl.TEXTURE_2D_ARRAY ] = createTexture( gl.TEXTURE_2D_ARRAY, gl.TEXTURE_2D_ARRAY, 1, 1 );\n\t\temptyTextures[ gl.TEXTURE_3D ] = createTexture( gl.TEXTURE_3D, gl.TEXTURE_3D, 1, 1 );\n\n\t}\n\n\t// init\n\n\tcolorBuffer.setClear( 0, 0, 0, 1 );\n\tdepthBuffer.setClear( 1 );\n\tstencilBuffer.setClear( 0 );\n\n\tenable( gl.DEPTH_TEST );\n\tdepthBuffer.setFunc( LessEqualDepth );\n\n\tsetFlipSided( false );\n\tsetCullFace( CullFaceBack );\n\tenable( gl.CULL_FACE );\n\n\tsetBlending( NoBlending );\n\n\t//\n\n\tfunction enable( id ) {\n\n\t\tif ( enabledCapabilities[ id ] !== true ) {\n\n\t\t\tgl.enable( id );\n\t\t\tenabledCapabilities[ id ] = true;\n\n\t\t}\n\n\t}\n\n\tfunction disable( id ) {\n\n\t\tif ( enabledCapabilities[ id ] !== false ) {\n\n\t\t\tgl.disable( id );\n\t\t\tenabledCapabilities[ id ] = false;\n\n\t\t}\n\n\t}\n\n\tfunction bindFramebuffer( target, framebuffer ) {\n\n\t\tif ( currentBoundFramebuffers[ target ] !== framebuffer ) {\n\n\t\t\tgl.bindFramebuffer( target, framebuffer );\n\n\t\t\tcurrentBoundFramebuffers[ target ] = framebuffer;\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t// gl.DRAW_FRAMEBUFFER is equivalent to gl.FRAMEBUFFER\n\n\t\t\t\tif ( target === gl.DRAW_FRAMEBUFFER ) {\n\n\t\t\t\t\tcurrentBoundFramebuffers[ gl.FRAMEBUFFER ] = framebuffer;\n\n\t\t\t\t}\n\n\t\t\t\tif ( target === gl.FRAMEBUFFER ) {\n\n\t\t\t\t\tcurrentBoundFramebuffers[ gl.DRAW_FRAMEBUFFER ] = framebuffer;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tfunction drawBuffers( renderTarget, framebuffer ) {\n\n\t\tlet drawBuffers = defaultDrawbuffers;\n\n\t\tlet needsUpdate = false;\n\n\t\tif ( renderTarget ) {\n\n\t\t\tdrawBuffers = currentDrawbuffers.get( framebuffer );\n\n\t\t\tif ( drawBuffers === undefined ) {\n\n\t\t\t\tdrawBuffers = [];\n\t\t\t\tcurrentDrawbuffers.set( framebuffer, drawBuffers );\n\n\t\t\t}\n\n\t\t\tif ( renderTarget.isWebGLMultipleRenderTargets ) {\n\n\t\t\t\tconst textures = renderTarget.texture;\n\n\t\t\t\tif ( drawBuffers.length !== textures.length || drawBuffers[ 0 ] !== gl.COLOR_ATTACHMENT0 ) {\n\n\t\t\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tdrawBuffers[ i ] = gl.COLOR_ATTACHMENT0 + i;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tdrawBuffers.length = textures.length;\n\n\t\t\t\t\tneedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( drawBuffers[ 0 ] !== gl.COLOR_ATTACHMENT0 ) {\n\n\t\t\t\t\tdrawBuffers[ 0 ] = gl.COLOR_ATTACHMENT0;\n\n\t\t\t\t\tneedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( drawBuffers[ 0 ] !== gl.BACK ) {\n\n\t\t\t\tdrawBuffers[ 0 ] = gl.BACK;\n\n\t\t\t\tneedsUpdate = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( needsUpdate ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\tgl.drawBuffers( drawBuffers );\n\n\t\t\t} else {\n\n\t\t\t\textensions.get( 'WEBGL_draw_buffers' ).drawBuffersWEBGL( drawBuffers );\n\n\t\t\t}\n\n\t\t}\n\n\n\t}\n\n\tfunction useProgram( program ) {\n\n\t\tif ( currentProgram !== program ) {\n\n\t\t\tgl.useProgram( program );\n\n\t\t\tcurrentProgram = program;\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tconst equationToGL = {\n\t\t[ AddEquation ]: gl.FUNC_ADD,\n\t\t[ SubtractEquation ]: gl.FUNC_SUBTRACT,\n\t\t[ ReverseSubtractEquation ]: gl.FUNC_REVERSE_SUBTRACT\n\t};\n\n\tif ( isWebGL2 ) {\n\n\t\tequationToGL[ MinEquation ] = gl.MIN;\n\t\tequationToGL[ MaxEquation ] = gl.MAX;\n\n\t} else {\n\n\t\tconst extension = extensions.get( 'EXT_blend_minmax' );\n\n\t\tif ( extension !== null ) {\n\n\t\t\tequationToGL[ MinEquation ] = extension.MIN_EXT;\n\t\t\tequationToGL[ MaxEquation ] = extension.MAX_EXT;\n\n\t\t}\n\n\t}\n\n\tconst factorToGL = {\n\t\t[ ZeroFactor ]: gl.ZERO,\n\t\t[ OneFactor ]: gl.ONE,\n\t\t[ SrcColorFactor ]: gl.SRC_COLOR,\n\t\t[ SrcAlphaFactor ]: gl.SRC_ALPHA,\n\t\t[ SrcAlphaSaturateFactor ]: gl.SRC_ALPHA_SATURATE,\n\t\t[ DstColorFactor ]: gl.DST_COLOR,\n\t\t[ DstAlphaFactor ]: gl.DST_ALPHA,\n\t\t[ OneMinusSrcColorFactor ]: gl.ONE_MINUS_SRC_COLOR,\n\t\t[ OneMinusSrcAlphaFactor ]: gl.ONE_MINUS_SRC_ALPHA,\n\t\t[ OneMinusDstColorFactor ]: gl.ONE_MINUS_DST_COLOR,\n\t\t[ OneMinusDstAlphaFactor ]: gl.ONE_MINUS_DST_ALPHA,\n\t\t[ ConstantColorFactor ]: gl.CONSTANT_COLOR,\n\t\t[ OneMinusConstantColorFactor ]: gl.ONE_MINUS_CONSTANT_COLOR,\n\t\t[ ConstantAlphaFactor ]: gl.CONSTANT_ALPHA,\n\t\t[ OneMinusConstantAlphaFactor ]: gl.ONE_MINUS_CONSTANT_ALPHA\n\t};\n\n\tfunction setBlending( blending, blendEquation, blendSrc, blendDst, blendEquationAlpha, blendSrcAlpha, blendDstAlpha, blendColor, blendAlpha, premultipliedAlpha ) {\n\n\t\tif ( blending === NoBlending ) {\n\n\t\t\tif ( currentBlendingEnabled === true ) {\n\n\t\t\t\tdisable( gl.BLEND );\n\t\t\t\tcurrentBlendingEnabled = false;\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( currentBlendingEnabled === false ) {\n\n\t\t\tenable( gl.BLEND );\n\t\t\tcurrentBlendingEnabled = true;\n\n\t\t}\n\n\t\tif ( blending !== CustomBlending ) {\n\n\t\t\tif ( blending !== currentBlending || premultipliedAlpha !== currentPremultipledAlpha ) {\n\n\t\t\t\tif ( currentBlendEquation !== AddEquation || currentBlendEquationAlpha !== AddEquation ) {\n\n\t\t\t\t\tgl.blendEquation( gl.FUNC_ADD );\n\n\t\t\t\t\tcurrentBlendEquation = AddEquation;\n\t\t\t\t\tcurrentBlendEquationAlpha = AddEquation;\n\n\t\t\t\t}\n\n\t\t\t\tif ( premultipliedAlpha ) {\n\n\t\t\t\t\tswitch ( blending ) {\n\n\t\t\t\t\t\tcase NormalBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ONE, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AdditiveBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.ONE, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase SubtractiveBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ZERO, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase MultiplyBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.SRC_COLOR, gl.ZERO, gl.SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tconsole.error( 'THREE.WebGLState: Invalid blending: ', blending );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tswitch ( blending ) {\n\n\t\t\t\t\t\tcase NormalBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.SRC_ALPHA, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AdditiveBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.SRC_ALPHA, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase SubtractiveBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ZERO, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase MultiplyBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.ZERO, gl.SRC_COLOR );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tconsole.error( 'THREE.WebGLState: Invalid blending: ', blending );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tcurrentBlendSrc = null;\n\t\t\t\tcurrentBlendDst = null;\n\t\t\t\tcurrentBlendSrcAlpha = null;\n\t\t\t\tcurrentBlendDstAlpha = null;\n\t\t\t\tcurrentBlendColor.set( 0, 0, 0 );\n\t\t\t\tcurrentBlendAlpha = 0;\n\n\t\t\t\tcurrentBlending = blending;\n\t\t\t\tcurrentPremultipledAlpha = premultipliedAlpha;\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// custom blending\n\n\t\tblendEquationAlpha = blendEquationAlpha || blendEquation;\n\t\tblendSrcAlpha = blendSrcAlpha || blendSrc;\n\t\tblendDstAlpha = blendDstAlpha || blendDst;\n\n\t\tif ( blendEquation !== currentBlendEquation || blendEquationAlpha !== currentBlendEquationAlpha ) {\n\n\t\t\tgl.blendEquationSeparate( equationToGL[ blendEquation ], equationToGL[ blendEquationAlpha ] );\n\n\t\t\tcurrentBlendEquation = blendEquation;\n\t\t\tcurrentBlendEquationAlpha = blendEquationAlpha;\n\n\t\t}\n\n\t\tif ( blendSrc !== currentBlendSrc || blendDst !== currentBlendDst || blendSrcAlpha !== currentBlendSrcAlpha || blendDstAlpha !== currentBlendDstAlpha ) {\n\n\t\t\tgl.blendFuncSeparate( factorToGL[ blendSrc ], factorToGL[ blendDst ], factorToGL[ blendSrcAlpha ], factorToGL[ blendDstAlpha ] );\n\n\t\t\tcurrentBlendSrc = blendSrc;\n\t\t\tcurrentBlendDst = blendDst;\n\t\t\tcurrentBlendSrcAlpha = blendSrcAlpha;\n\t\t\tcurrentBlendDstAlpha = blendDstAlpha;\n\n\t\t}\n\n\t\tif ( blendColor.equals( currentBlendColor ) === false || blendAlpha !== currentBlendAlpha ) {\n\n\t\t\tgl.blendColor( blendColor.r, blendColor.g, blendColor.b, blendAlpha );\n\n\t\t\tcurrentBlendColor.copy( blendColor );\n\t\t\tcurrentBlendAlpha = blendAlpha;\n\n\t\t}\n\n\t\tcurrentBlending = blending;\n\t\tcurrentPremultipledAlpha = false;\n\n\t}\n\n\tfunction setMaterial( material, frontFaceCW ) {\n\n\t\tmaterial.side === DoubleSide\n\t\t\t? disable( gl.CULL_FACE )\n\t\t\t: enable( gl.CULL_FACE );\n\n\t\tlet flipSided = ( material.side === BackSide );\n\t\tif ( frontFaceCW ) flipSided = ! flipSided;\n\n\t\tsetFlipSided( flipSided );\n\n\t\t( material.blending === NormalBlending && material.transparent === false )\n\t\t\t? setBlending( NoBlending )\n\t\t\t: setBlending( material.blending, material.blendEquation, material.blendSrc, material.blendDst, material.blendEquationAlpha, material.blendSrcAlpha, material.blendDstAlpha, material.blendColor, material.blendAlpha, material.premultipliedAlpha );\n\n\t\tdepthBuffer.setFunc( material.depthFunc );\n\t\tdepthBuffer.setTest( material.depthTest );\n\t\tdepthBuffer.setMask( material.depthWrite );\n\t\tcolorBuffer.setMask( material.colorWrite );\n\n\t\tconst stencilWrite = material.stencilWrite;\n\t\tstencilBuffer.setTest( stencilWrite );\n\t\tif ( stencilWrite ) {\n\n\t\t\tstencilBuffer.setMask( material.stencilWriteMask );\n\t\t\tstencilBuffer.setFunc( material.stencilFunc, material.stencilRef, material.stencilFuncMask );\n\t\t\tstencilBuffer.setOp( material.stencilFail, material.stencilZFail, material.stencilZPass );\n\n\t\t}\n\n\t\tsetPolygonOffset( material.polygonOffset, material.polygonOffsetFactor, material.polygonOffsetUnits );\n\n\t\tmaterial.alphaToCoverage === true\n\t\t\t? enable( gl.SAMPLE_ALPHA_TO_COVERAGE )\n\t\t\t: disable( gl.SAMPLE_ALPHA_TO_COVERAGE );\n\n\t}\n\n\t//\n\n\tfunction setFlipSided( flipSided ) {\n\n\t\tif ( currentFlipSided !== flipSided ) {\n\n\t\t\tif ( flipSided ) {\n\n\t\t\t\tgl.frontFace( gl.CW );\n\n\t\t\t} else {\n\n\t\t\t\tgl.frontFace( gl.CCW );\n\n\t\t\t}\n\n\t\t\tcurrentFlipSided = flipSided;\n\n\t\t}\n\n\t}\n\n\tfunction setCullFace( cullFace ) {\n\n\t\tif ( cullFace !== CullFaceNone ) {\n\n\t\t\tenable( gl.CULL_FACE );\n\n\t\t\tif ( cullFace !== currentCullFace ) {\n\n\t\t\t\tif ( cullFace === CullFaceBack ) {\n\n\t\t\t\t\tgl.cullFace( gl.BACK );\n\n\t\t\t\t} else if ( cullFace === CullFaceFront ) {\n\n\t\t\t\t\tgl.cullFace( gl.FRONT );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tgl.cullFace( gl.FRONT_AND_BACK );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tdisable( gl.CULL_FACE );\n\n\t\t}\n\n\t\tcurrentCullFace = cullFace;\n\n\t}\n\n\tfunction setLineWidth( width ) {\n\n\t\tif ( width !== currentLineWidth ) {\n\n\t\t\tif ( lineWidthAvailable ) gl.lineWidth( width );\n\n\t\t\tcurrentLineWidth = width;\n\n\t\t}\n\n\t}\n\n\tfunction setPolygonOffset( polygonOffset, factor, units ) {\n\n\t\tif ( polygonOffset ) {\n\n\t\t\tenable( gl.POLYGON_OFFSET_FILL );\n\n\t\t\tif ( currentPolygonOffsetFactor !== factor || currentPolygonOffsetUnits !== units ) {\n\n\t\t\t\tgl.polygonOffset( factor, units );\n\n\t\t\t\tcurrentPolygonOffsetFactor = factor;\n\t\t\t\tcurrentPolygonOffsetUnits = units;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tdisable( gl.POLYGON_OFFSET_FILL );\n\n\t\t}\n\n\t}\n\n\tfunction setScissorTest( scissorTest ) {\n\n\t\tif ( scissorTest ) {\n\n\t\t\tenable( gl.SCISSOR_TEST );\n\n\t\t} else {\n\n\t\t\tdisable( gl.SCISSOR_TEST );\n\n\t\t}\n\n\t}\n\n\t// texture\n\n\tfunction activeTexture( webglSlot ) {\n\n\t\tif ( webglSlot === undefined ) webglSlot = gl.TEXTURE0 + maxTextures - 1;\n\n\t\tif ( currentTextureSlot !== webglSlot ) {\n\n\t\t\tgl.activeTexture( webglSlot );\n\t\t\tcurrentTextureSlot = webglSlot;\n\n\t\t}\n\n\t}\n\n\tfunction bindTexture( webglType, webglTexture, webglSlot ) {\n\n\t\tif ( webglSlot === undefined ) {\n\n\t\t\tif ( currentTextureSlot === null ) {\n\n\t\t\t\twebglSlot = gl.TEXTURE0 + maxTextures - 1;\n\n\t\t\t} else {\n\n\t\t\t\twebglSlot = currentTextureSlot;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlet boundTexture = currentBoundTextures[ webglSlot ];\n\n\t\tif ( boundTexture === undefined ) {\n\n\t\t\tboundTexture = { type: undefined, texture: undefined };\n\t\t\tcurrentBoundTextures[ webglSlot ] = boundTexture;\n\n\t\t}\n\n\t\tif ( boundTexture.type !== webglType || boundTexture.texture !== webglTexture ) {\n\n\t\t\tif ( currentTextureSlot !== webglSlot ) {\n\n\t\t\t\tgl.activeTexture( webglSlot );\n\t\t\t\tcurrentTextureSlot = webglSlot;\n\n\t\t\t}\n\n\t\t\tgl.bindTexture( webglType, webglTexture || emptyTextures[ webglType ] );\n\n\t\t\tboundTexture.type = webglType;\n\t\t\tboundTexture.texture = webglTexture;\n\n\t\t}\n\n\t}\n\n\tfunction unbindTexture() {\n\n\t\tconst boundTexture = currentBoundTextures[ currentTextureSlot ];\n\n\t\tif ( boundTexture !== undefined && boundTexture.type !== undefined ) {\n\n\t\t\tgl.bindTexture( boundTexture.type, null );\n\n\t\t\tboundTexture.type = undefined;\n\t\t\tboundTexture.texture = undefined;\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texSubImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texSubImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texSubImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texSubImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexSubImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexSubImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexSubImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexSubImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texStorage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texStorage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texStorage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texStorage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tfunction scissor( scissor ) {\n\n\t\tif ( currentScissor.equals( scissor ) === false ) {\n\n\t\t\tgl.scissor( scissor.x, scissor.y, scissor.z, scissor.w );\n\t\t\tcurrentScissor.copy( scissor );\n\n\t\t}\n\n\t}\n\n\tfunction viewport( viewport ) {\n\n\t\tif ( currentViewport.equals( viewport ) === false ) {\n\n\t\t\tgl.viewport( viewport.x, viewport.y, viewport.z, viewport.w );\n\t\t\tcurrentViewport.copy( viewport );\n\n\t\t}\n\n\t}\n\n\tfunction updateUBOMapping( uniformsGroup, program ) {\n\n\t\tlet mapping = uboProgramMap.get( program );\n\n\t\tif ( mapping === undefined ) {\n\n\t\t\tmapping = new WeakMap();\n\n\t\t\tuboProgramMap.set( program, mapping );\n\n\t\t}\n\n\t\tlet blockIndex = mapping.get( uniformsGroup );\n\n\t\tif ( blockIndex === undefined ) {\n\n\t\t\tblockIndex = gl.getUniformBlockIndex( program, uniformsGroup.name );\n\n\t\t\tmapping.set( uniformsGroup, blockIndex );\n\n\t\t}\n\n\t}\n\n\tfunction uniformBlockBinding( uniformsGroup, program ) {\n\n\t\tconst mapping = uboProgramMap.get( program );\n\t\tconst blockIndex = mapping.get( uniformsGroup );\n\n\t\tif ( uboBindings.get( program ) !== blockIndex ) {\n\n\t\t\t// bind shader specific block index to global block point\n\t\t\tgl.uniformBlockBinding( program, blockIndex, uniformsGroup.__bindingPointIndex );\n\n\t\t\tuboBindings.set( program, blockIndex );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tfunction reset() {\n\n\t\t// reset state\n\n\t\tgl.disable( gl.BLEND );\n\t\tgl.disable( gl.CULL_FACE );\n\t\tgl.disable( gl.DEPTH_TEST );\n\t\tgl.disable( gl.POLYGON_OFFSET_FILL );\n\t\tgl.disable( gl.SCISSOR_TEST );\n\t\tgl.disable( gl.STENCIL_TEST );\n\t\tgl.disable( gl.SAMPLE_ALPHA_TO_COVERAGE );\n\n\t\tgl.blendEquation( gl.FUNC_ADD );\n\t\tgl.blendFunc( gl.ONE, gl.ZERO );\n\t\tgl.blendFuncSeparate( gl.ONE, gl.ZERO, gl.ONE, gl.ZERO );\n\t\tgl.blendColor( 0, 0, 0, 0 );\n\n\t\tgl.colorMask( true, true, true, true );\n\t\tgl.clearColor( 0, 0, 0, 0 );\n\n\t\tgl.depthMask( true );\n\t\tgl.depthFunc( gl.LESS );\n\t\tgl.clearDepth( 1 );\n\n\t\tgl.stencilMask( 0xffffffff );\n\t\tgl.stencilFunc( gl.ALWAYS, 0, 0xffffffff );\n\t\tgl.stencilOp( gl.KEEP, gl.KEEP, gl.KEEP );\n\t\tgl.clearStencil( 0 );\n\n\t\tgl.cullFace( gl.BACK );\n\t\tgl.frontFace( gl.CCW );\n\n\t\tgl.polygonOffset( 0, 0 );\n\n\t\tgl.activeTexture( gl.TEXTURE0 );\n\n\t\tgl.bindFramebuffer( gl.FRAMEBUFFER, null );\n\n\t\tif ( isWebGL2 === true ) {\n\n\t\t\tgl.bindFramebuffer( gl.DRAW_FRAMEBUFFER, null );\n\t\t\tgl.bindFramebuffer( gl.READ_FRAMEBUFFER, null );\n\n\t\t}\n\n\t\tgl.useProgram( null );\n\n\t\tgl.lineWidth( 1 );\n\n\t\tgl.scissor( 0, 0, gl.canvas.width, gl.canvas.height );\n\t\tgl.viewport( 0, 0, gl.canvas.width, gl.canvas.height );\n\n\t\t// reset internals\n\n\t\tenabledCapabilities = {};\n\n\t\tcurrentTextureSlot = null;\n\t\tcurrentBoundTextures = {};\n\n\t\tcurrentBoundFramebuffers = {};\n\t\tcurrentDrawbuffers = new WeakMap();\n\t\tdefaultDrawbuffers = [];\n\n\t\tcurrentProgram = null;\n\n\t\tcurrentBlendingEnabled = false;\n\t\tcurrentBlending = null;\n\t\tcurrentBlendEquation = null;\n\t\tcurrentBlendSrc = null;\n\t\tcurrentBlendDst = null;\n\t\tcurrentBlendEquationAlpha = null;\n\t\tcurrentBlendSrcAlpha = null;\n\t\tcurrentBlendDstAlpha = null;\n\t\tcurrentBlendColor = new Color( 0, 0, 0 );\n\t\tcurrentBlendAlpha = 0;\n\t\tcurrentPremultipledAlpha = false;\n\n\t\tcurrentFlipSided = null;\n\t\tcurrentCullFace = null;\n\n\t\tcurrentLineWidth = null;\n\n\t\tcurrentPolygonOffsetFactor = null;\n\t\tcurrentPolygonOffsetUnits = null;\n\n\t\tcurrentScissor.set( 0, 0, gl.canvas.width, gl.canvas.height );\n\t\tcurrentViewport.set( 0, 0, gl.canvas.width, gl.canvas.height );\n\n\t\tcolorBuffer.reset();\n\t\tdepthBuffer.reset();\n\t\tstencilBuffer.reset();\n\n\t}\n\n\treturn {\n\n\t\tbuffers: {\n\t\t\tcolor: colorBuffer,\n\t\t\tdepth: depthBuffer,\n\t\t\tstencil: stencilBuffer\n\t\t},\n\n\t\tenable: enable,\n\t\tdisable: disable,\n\n\t\tbindFramebuffer: bindFramebuffer,\n\t\tdrawBuffers: drawBuffers,\n\n\t\tuseProgram: useProgram,\n\n\t\tsetBlending: setBlending,\n\t\tsetMaterial: setMaterial,\n\n\t\tsetFlipSided: setFlipSided,\n\t\tsetCullFace: setCullFace,\n\n\t\tsetLineWidth: setLineWidth,\n\t\tsetPolygonOffset: setPolygonOffset,\n\n\t\tsetScissorTest: setScissorTest,\n\n\t\tactiveTexture: activeTexture,\n\t\tbindTexture: bindTexture,\n\t\tunbindTexture: unbindTexture,\n\t\tcompressedTexImage2D: compressedTexImage2D,\n\t\tcompressedTexImage3D: compressedTexImage3D,\n\t\ttexImage2D: texImage2D,\n\t\ttexImage3D: texImage3D,\n\n\t\tupdateUBOMapping: updateUBOMapping,\n\t\tuniformBlockBinding: uniformBlockBinding,\n\n\t\ttexStorage2D: texStorage2D,\n\t\ttexStorage3D: texStorage3D,\n\t\ttexSubImage2D: texSubImage2D,\n\t\ttexSubImage3D: texSubImage3D,\n\t\tcompressedTexSubImage2D: compressedTexSubImage2D,\n\t\tcompressedTexSubImage3D: compressedTexSubImage3D,\n\n\t\tscissor: scissor,\n\t\tviewport: viewport,\n\n\t\treset: reset\n\n\t};\n\n}\n\nfunction WebGLTextures( _gl, extensions, state, properties, capabilities, utils, info ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\tconst multisampledRTTExt = extensions.has( 'WEBGL_multisampled_render_to_texture' ) ? extensions.get( 'WEBGL_multisampled_render_to_texture' ) : null;\n\tconst supportsInvalidateFramebuffer = typeof navigator === 'undefined' ? false : /OculusBrowser/g.test( navigator.userAgent );\n\n\tconst _videoTextures = new WeakMap();\n\tlet _canvas;\n\n\tconst _sources = new WeakMap(); // maps WebglTexture objects to instances of Source\n\n\t// cordova iOS (as of 5.0) still uses UIWebView, which provides OffscreenCanvas,\n\t// also OffscreenCanvas.getContext(\"webgl\"), but not OffscreenCanvas.getContext(\"2d\")!\n\t// Some implementations may only implement OffscreenCanvas partially (e.g. lacking 2d).\n\n\tlet useOffscreenCanvas = false;\n\n\ttry {\n\n\t\tuseOffscreenCanvas = typeof OffscreenCanvas !== 'undefined'\n\t\t\t// eslint-disable-next-line compat/compat\n\t\t\t&& ( new OffscreenCanvas( 1, 1 ).getContext( '2d' ) ) !== null;\n\n\t} catch ( err ) {\n\n\t\t// Ignore any errors\n\n\t}\n\n\tfunction createCanvas( width, height ) {\n\n\t\t// Use OffscreenCanvas when available. Specially needed in web workers\n\n\t\treturn useOffscreenCanvas ?\n\t\t\t// eslint-disable-next-line compat/compat\n\t\t\tnew OffscreenCanvas( width, height ) : createElementNS( 'canvas' );\n\n\t}\n\n\tfunction resizeImage( image, needsPowerOfTwo, needsNewCanvas, maxSize ) {\n\n\t\tlet scale = 1;\n\n\t\t// handle case if texture exceeds max size\n\n\t\tif ( image.width > maxSize || image.height > maxSize ) {\n\n\t\t\tscale = maxSize / Math.max( image.width, image.height );\n\n\t\t}\n\n\t\t// only perform resize if necessary\n\n\t\tif ( scale < 1 || needsPowerOfTwo === true ) {\n\n\t\t\t// only perform resize for certain image types\n\n\t\t\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t\t\tconst floor = needsPowerOfTwo ? floorPowerOfTwo : Math.floor;\n\n\t\t\t\tconst width = floor( scale * image.width );\n\t\t\t\tconst height = floor( scale * image.height );\n\n\t\t\t\tif ( _canvas === undefined ) _canvas = createCanvas( width, height );\n\n\t\t\t\t// cube textures can't reuse the same canvas\n\n\t\t\t\tconst canvas = needsNewCanvas ? createCanvas( width, height ) : _canvas;\n\n\t\t\t\tcanvas.width = width;\n\t\t\t\tcanvas.height = height;\n\n\t\t\t\tconst context = canvas.getContext( '2d' );\n\t\t\t\tcontext.drawImage( image, 0, 0, width, height );\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture has been resized from (' + image.width + 'x' + image.height + ') to (' + width + 'x' + height + ').' );\n\n\t\t\t\treturn canvas;\n\n\t\t\t} else {\n\n\t\t\t\tif ( 'data' in image ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Image in DataTexture is too big (' + image.width + 'x' + image.height + ').' );\n\n\t\t\t\t}\n\n\t\t\t\treturn image;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn image;\n\n\t}\n\n\tfunction isPowerOfTwo$1( image ) {\n\n\t\treturn isPowerOfTwo( image.width ) && isPowerOfTwo( image.height );\n\n\t}\n\n\tfunction textureNeedsPowerOfTwo( texture ) {\n\n\t\tif ( isWebGL2 ) return false;\n\n\t\treturn ( texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping ) ||\n\t\t\t( texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter );\n\n\t}\n\n\tfunction textureNeedsGenerateMipmaps( texture, supportsMips ) {\n\n\t\treturn texture.generateMipmaps && supportsMips &&\n\t\t\ttexture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter;\n\n\t}\n\n\tfunction generateMipmap( target ) {\n\n\t\t_gl.generateMipmap( target );\n\n\t}\n\n\tfunction getInternalFormat( internalFormatName, glFormat, glType, colorSpace, forceLinearTransfer = false ) {\n\n\t\tif ( isWebGL2 === false ) return glFormat;\n\n\t\tif ( internalFormatName !== null ) {\n\n\t\t\tif ( _gl[ internalFormatName ] !== undefined ) return _gl[ internalFormatName ];\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format \\'' + internalFormatName + '\\'' );\n\n\t\t}\n\n\t\tlet internalFormat = glFormat;\n\n\t\tif ( glFormat === _gl.RED ) {\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.R32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.R16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.R8;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RED_INTEGER ) {\n\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.R8UI;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT ) internalFormat = _gl.R16UI;\n\t\t\tif ( glType === _gl.UNSIGNED_INT ) internalFormat = _gl.R32UI;\n\t\t\tif ( glType === _gl.BYTE ) internalFormat = _gl.R8I;\n\t\t\tif ( glType === _gl.SHORT ) internalFormat = _gl.R16I;\n\t\t\tif ( glType === _gl.INT ) internalFormat = _gl.R32I;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RG ) {\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.RG32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.RG16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.RG8;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RGBA ) {\n\n\t\t\tconst transfer = forceLinearTransfer ? LinearTransfer : ColorManagement.getTransfer( colorSpace );\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.RGBA32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.RGBA16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = ( transfer === SRGBTransfer ) ? _gl.SRGB8_ALPHA8 : _gl.RGBA8;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT_4_4_4_4 ) internalFormat = _gl.RGBA4;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT_5_5_5_1 ) internalFormat = _gl.RGB5_A1;\n\n\t\t}\n\n\t\tif ( internalFormat === _gl.R16F || internalFormat === _gl.R32F ||\n\t\t\tinternalFormat === _gl.RG16F || internalFormat === _gl.RG32F ||\n\t\t\tinternalFormat === _gl.RGBA16F || internalFormat === _gl.RGBA32F ) {\n\n\t\t\textensions.get( 'EXT_color_buffer_float' );\n\n\t\t}\n\n\t\treturn internalFormat;\n\n\t}\n\n\tfunction getMipLevels( texture, image, supportsMips ) {\n\n\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) === true || ( texture.isFramebufferTexture && texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter ) ) {\n\n\t\t\treturn Math.log2( Math.max( image.width, image.height ) ) + 1;\n\n\t\t} else if ( texture.mipmaps !== undefined && texture.mipmaps.length > 0 ) {\n\n\t\t\t// user-defined mipmaps\n\n\t\t\treturn texture.mipmaps.length;\n\n\t\t} else if ( texture.isCompressedTexture && Array.isArray( texture.image ) ) {\n\n\t\t\treturn image.mipmaps.length;\n\n\t\t} else {\n\n\t\t\t// texture without mipmaps (only base level)\n\n\t\t\treturn 1;\n\n\t\t}\n\n\t}\n\n\t// Fallback filters for non-power-of-2 textures\n\n\tfunction filterFallback( f ) {\n\n\t\tif ( f === NearestFilter || f === NearestMipmapNearestFilter || f === NearestMipmapLinearFilter ) {\n\n\t\t\treturn _gl.NEAREST;\n\n\t\t}\n\n\t\treturn _gl.LINEAR;\n\n\t}\n\n\t//\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tdeallocateTexture( texture );\n\n\t\tif ( texture.isVideoTexture ) {\n\n\t\t\t_videoTextures.delete( texture );\n\n\t\t}\n\n\t}\n\n\tfunction onRenderTargetDispose( event ) {\n\n\t\tconst renderTarget = event.target;\n\n\t\trenderTarget.removeEventListener( 'dispose', onRenderTargetDispose );\n\n\t\tdeallocateRenderTarget( renderTarget );\n\n\t}\n\n\t//\n\n\tfunction deallocateTexture( texture ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( textureProperties.__webglInit === undefined ) return;\n\n\t\t// check if it's necessary to remove the WebGLTexture object\n\n\t\tconst source = texture.source;\n\t\tconst webglTextures = _sources.get( source );\n\n\t\tif ( webglTextures ) {\n\n\t\t\tconst webglTexture = webglTextures[ textureProperties.__cacheKey ];\n\t\t\twebglTexture.usedTimes --;\n\n\t\t\t// the WebGLTexture object is not used anymore, remove it\n\n\t\t\tif ( webglTexture.usedTimes === 0 ) {\n\n\t\t\t\tdeleteTexture( texture );\n\n\t\t\t}\n\n\t\t\t// remove the weak map entry if no WebGLTexture uses the source anymore\n\n\t\t\tif ( Object.keys( webglTextures ).length === 0 ) {\n\n\t\t\t\t_sources.delete( source );\n\n\t\t\t}\n\n\t\t}\n\n\t\tproperties.remove( texture );\n\n\t}\n\n\tfunction deleteTexture( texture ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\t\t_gl.deleteTexture( textureProperties.__webglTexture );\n\n\t\tconst source = texture.source;\n\t\tconst webglTextures = _sources.get( source );\n\t\tdelete webglTextures[ textureProperties.__cacheKey ];\n\n\t\tinfo.memory.textures --;\n\n\t}\n\n\tfunction deallocateRenderTarget( renderTarget ) {\n\n\t\tconst texture = renderTarget.texture;\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( textureProperties.__webglTexture !== undefined ) {\n\n\t\t\t_gl.deleteTexture( textureProperties.__webglTexture );\n\n\t\t\tinfo.memory.textures --;\n\n\t\t}\n\n\t\tif ( renderTarget.depthTexture ) {\n\n\t\t\trenderTarget.depthTexture.dispose();\n\n\t\t}\n\n\t\tif ( renderTarget.isWebGLCubeRenderTarget ) {\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( Array.isArray( renderTargetProperties.__webglFramebuffer[ i ] ) ) {\n\n\t\t\t\t\tfor ( let level = 0; level < renderTargetProperties.__webglFramebuffer[ i ].length; level ++ ) _gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ i ][ level ] );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( renderTargetProperties.__webglDepthbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthbuffer[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( Array.isArray( renderTargetProperties.__webglFramebuffer ) ) {\n\n\t\t\t\tfor ( let level = 0; level < renderTargetProperties.__webglFramebuffer.length; level ++ ) _gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ level ] );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer );\n\n\t\t\t}\n\n\t\t\tif ( renderTargetProperties.__webglDepthbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthbuffer );\n\t\t\tif ( renderTargetProperties.__webglMultisampledFramebuffer ) _gl.deleteFramebuffer( renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t\tif ( renderTargetProperties.__webglColorRenderbuffer ) {\n\n\t\t\t\tfor ( let i = 0; i < renderTargetProperties.__webglColorRenderbuffer.length; i ++ ) {\n\n\t\t\t\t\tif ( renderTargetProperties.__webglColorRenderbuffer[ i ] ) _gl.deleteRenderbuffer( renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( renderTargetProperties.__webglDepthRenderbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthRenderbuffer );\n\n\t\t}\n\n\t\tif ( renderTarget.isWebGLMultipleRenderTargets ) {\n\n\t\t\tfor ( let i = 0, il = texture.length; i < il; i ++ ) {\n\n\t\t\t\tconst attachmentProperties = properties.get( texture[ i ] );\n\n\t\t\t\tif ( attachmentProperties.__webglTexture ) {\n\n\t\t\t\t\t_gl.deleteTexture( attachmentProperties.__webglTexture );\n\n\t\t\t\t\tinfo.memory.textures --;\n\n\t\t\t\t}\n\n\t\t\t\tproperties.remove( texture[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tproperties.remove( texture );\n\t\tproperties.remove( renderTarget );\n\n\t}\n\n\t//\n\n\tlet textureUnits = 0;\n\n\tfunction resetTextureUnits() {\n\n\t\ttextureUnits = 0;\n\n\t}\n\n\tfunction allocateTextureUnit() {\n\n\t\tconst textureUnit = textureUnits;\n\n\t\tif ( textureUnit >= capabilities.maxTextures ) {\n\n\t\t\tconsole.warn( 'THREE.WebGLTextures: Trying to use ' + textureUnit + ' texture units while this GPU supports only ' + capabilities.maxTextures );\n\n\t\t}\n\n\t\ttextureUnits += 1;\n\n\t\treturn textureUnit;\n\n\t}\n\n\tfunction getTextureCacheKey( texture ) {\n\n\t\tconst array = [];\n\n\t\tarray.push( texture.wrapS );\n\t\tarray.push( texture.wrapT );\n\t\tarray.push( texture.wrapR || 0 );\n\t\tarray.push( texture.magFilter );\n\t\tarray.push( texture.minFilter );\n\t\tarray.push( texture.anisotropy );\n\t\tarray.push( texture.internalFormat );\n\t\tarray.push( texture.format );\n\t\tarray.push( texture.type );\n\t\tarray.push( texture.generateMipmaps );\n\t\tarray.push( texture.premultiplyAlpha );\n\t\tarray.push( texture.flipY );\n\t\tarray.push( texture.unpackAlignment );\n\t\tarray.push( texture.colorSpace );\n\n\t\treturn array.join();\n\n\t}\n\n\t//\n\n\tfunction setTexture2D( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.isVideoTexture ) updateVideoTexture( texture );\n\n\t\tif ( texture.isRenderTargetTexture === false && texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tconst image = texture.image;\n\n\t\t\tif ( image === null ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture marked for update but no image data found.' );\n\n\t\t\t} else if ( image.complete === false ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture marked for update but image is incomplete' );\n\n\t\t\t} else {\n\n\t\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_2D, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTexture2DArray( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_2D_ARRAY, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTexture3D( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_3D, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTextureCube( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadCubeTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tconst wrappingToGL = {\n\t\t[ RepeatWrapping ]: _gl.REPEAT,\n\t\t[ ClampToEdgeWrapping ]: _gl.CLAMP_TO_EDGE,\n\t\t[ MirroredRepeatWrapping ]: _gl.MIRRORED_REPEAT\n\t};\n\n\tconst filterToGL = {\n\t\t[ NearestFilter ]: _gl.NEAREST,\n\t\t[ NearestMipmapNearestFilter ]: _gl.NEAREST_MIPMAP_NEAREST,\n\t\t[ NearestMipmapLinearFilter ]: _gl.NEAREST_MIPMAP_LINEAR,\n\n\t\t[ LinearFilter ]: _gl.LINEAR,\n\t\t[ LinearMipmapNearestFilter ]: _gl.LINEAR_MIPMAP_NEAREST,\n\t\t[ LinearMipmapLinearFilter ]: _gl.LINEAR_MIPMAP_LINEAR\n\t};\n\n\tconst compareToGL = {\n\t\t[ NeverCompare ]: _gl.NEVER,\n\t\t[ AlwaysCompare ]: _gl.ALWAYS,\n\t\t[ LessCompare ]: _gl.LESS,\n\t\t[ LessEqualCompare ]: _gl.LEQUAL,\n\t\t[ EqualCompare ]: _gl.EQUAL,\n\t\t[ GreaterEqualCompare ]: _gl.GEQUAL,\n\t\t[ GreaterCompare ]: _gl.GREATER,\n\t\t[ NotEqualCompare ]: _gl.NOTEQUAL\n\t};\n\n\tfunction setTextureParameters( textureType, texture, supportsMips ) {\n\n\t\tif ( supportsMips ) {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_S, wrappingToGL[ texture.wrapS ] );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_T, wrappingToGL[ texture.wrapT ] );\n\n\t\t\tif ( textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_R, wrappingToGL[ texture.wrapR ] );\n\n\t\t\t}\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MAG_FILTER, filterToGL[ texture.magFilter ] );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MIN_FILTER, filterToGL[ texture.minFilter ] );\n\n\t\t} else {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_S, _gl.CLAMP_TO_EDGE );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_T, _gl.CLAMP_TO_EDGE );\n\n\t\t\tif ( textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_R, _gl.CLAMP_TO_EDGE );\n\n\t\t\t}\n\n\t\t\tif ( texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping.' );\n\n\t\t\t}\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MAG_FILTER, filterFallback( texture.magFilter ) );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MIN_FILTER, filterFallback( texture.minFilter ) );\n\n\t\t\tif ( texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.' );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( texture.compareFunction ) {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_COMPARE_MODE, _gl.COMPARE_REF_TO_TEXTURE );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_COMPARE_FUNC, compareToGL[ texture.compareFunction ] );\n\n\t\t}\n\n\t\tif ( extensions.has( 'EXT_texture_filter_anisotropic' ) === true ) {\n\n\t\t\tconst extension = extensions.get( 'EXT_texture_filter_anisotropic' );\n\n\t\t\tif ( texture.magFilter === NearestFilter ) return;\n\t\t\tif ( texture.minFilter !== NearestMipmapLinearFilter && texture.minFilter !== LinearMipmapLinearFilter ) return;\n\t\t\tif ( texture.type === FloatType && extensions.has( 'OES_texture_float_linear' ) === false ) return; // verify extension for WebGL 1 and WebGL 2\n\t\t\tif ( isWebGL2 === false && ( texture.type === HalfFloatType && extensions.has( 'OES_texture_half_float_linear' ) === false ) ) return; // verify extension for WebGL 1 only\n\n\t\t\tif ( texture.anisotropy > 1 || properties.get( texture ).__currentAnisotropy ) {\n\n\t\t\t\t_gl.texParameterf( textureType, extension.TEXTURE_MAX_ANISOTROPY_EXT, Math.min( texture.anisotropy, capabilities.getMaxAnisotropy() ) );\n\t\t\t\tproperties.get( texture ).__currentAnisotropy = texture.anisotropy;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction initTexture( textureProperties, texture ) {\n\n\t\tlet forceUpload = false;\n\n\t\tif ( textureProperties.__webglInit === undefined ) {\n\n\t\t\ttextureProperties.__webglInit = true;\n\n\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t}\n\n\t\t// create Source <-> WebGLTextures mapping if necessary\n\n\t\tconst source = texture.source;\n\t\tlet webglTextures = _sources.get( source );\n\n\t\tif ( webglTextures === undefined ) {\n\n\t\t\twebglTextures = {};\n\t\t\t_sources.set( source, webglTextures );\n\n\t\t}\n\n\t\t// check if there is already a WebGLTexture object for the given texture parameters\n\n\t\tconst textureCacheKey = getTextureCacheKey( texture );\n\n\t\tif ( textureCacheKey !== textureProperties.__cacheKey ) {\n\n\t\t\t// if not, create a new instance of WebGLTexture\n\n\t\t\tif ( webglTextures[ textureCacheKey ] === undefined ) {\n\n\t\t\t\t// create new entry\n\n\t\t\t\twebglTextures[ textureCacheKey ] = {\n\t\t\t\t\ttexture: _gl.createTexture(),\n\t\t\t\t\tusedTimes: 0\n\t\t\t\t};\n\n\t\t\t\tinfo.memory.textures ++;\n\n\t\t\t\t// when a new instance of WebGLTexture was created, a texture upload is required\n\t\t\t\t// even if the image contents are identical\n\n\t\t\t\tforceUpload = true;\n\n\t\t\t}\n\n\t\t\twebglTextures[ textureCacheKey ].usedTimes ++;\n\n\t\t\t// every time the texture cache key changes, it's necessary to check if an instance of\n\t\t\t// WebGLTexture can be deleted in order to avoid a memory leak.\n\n\t\t\tconst webglTexture = webglTextures[ textureProperties.__cacheKey ];\n\n\t\t\tif ( webglTexture !== undefined ) {\n\n\t\t\t\twebglTextures[ textureProperties.__cacheKey ].usedTimes --;\n\n\t\t\t\tif ( webglTexture.usedTimes === 0 ) {\n\n\t\t\t\t\tdeleteTexture( texture );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// store references to cache key and WebGLTexture object\n\n\t\t\ttextureProperties.__cacheKey = textureCacheKey;\n\t\t\ttextureProperties.__webglTexture = webglTextures[ textureCacheKey ].texture;\n\n\t\t}\n\n\t\treturn forceUpload;\n\n\t}\n\n\tfunction uploadTexture( textureProperties, texture, slot ) {\n\n\t\tlet textureType = _gl.TEXTURE_2D;\n\n\t\tif ( texture.isDataArrayTexture || texture.isCompressedArrayTexture ) textureType = _gl.TEXTURE_2D_ARRAY;\n\t\tif ( texture.isData3DTexture ) textureType = _gl.TEXTURE_3D;\n\n\t\tconst forceUpload = initTexture( textureProperties, texture );\n\t\tconst source = texture.source;\n\n\t\tstate.bindTexture( textureType, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t\tconst sourceProperties = properties.get( source );\n\n\t\tif ( source.version !== sourceProperties.__version || forceUpload === true ) {\n\n\t\t\tstate.activeTexture( _gl.TEXTURE0 + slot );\n\n\t\t\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\t\t\tconst texturePrimaries = texture.colorSpace === NoColorSpace ? null : ColorManagement.getPrimaries( texture.colorSpace );\n\t\t\tconst unpackConversion = texture.colorSpace === NoColorSpace || workingPrimaries === texturePrimaries ? _gl.NONE : _gl.BROWSER_DEFAULT_WEBGL;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, texture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, texture.unpackAlignment );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, unpackConversion );\n\n\t\t\tconst needsPowerOfTwo = textureNeedsPowerOfTwo( texture ) && isPowerOfTwo$1( texture.image ) === false;\n\t\t\tlet image = resizeImage( texture.image, needsPowerOfTwo, false, capabilities.maxTextureSize );\n\t\t\timage = verifyColorSpace( texture, image );\n\n\t\t\tconst supportsMips = isPowerOfTwo$1( image ) || isWebGL2,\n\t\t\t\tglFormat = utils.convert( texture.format, texture.colorSpace );\n\n\t\t\tlet glType = utils.convert( texture.type ),\n\t\t\t\tglInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace, texture.isVideoTexture );\n\n\t\t\tsetTextureParameters( textureType, texture, supportsMips );\n\n\t\t\tlet mipmap;\n\t\t\tconst mipmaps = texture.mipmaps;\n\n\t\t\tconst useTexStorage = ( isWebGL2 && texture.isVideoTexture !== true && glInternalFormat !== RGB_ETC1_Format );\n\t\t\tconst allocateMemory = ( sourceProperties.__version === undefined ) || ( forceUpload === true );\n\t\t\tconst levels = getMipLevels( texture, image, supportsMips );\n\n\t\t\tif ( texture.isDepthTexture ) {\n\n\t\t\t\t// populate depth texture with dummy data\n\n\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT;\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tif ( texture.type === FloatType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT32F;\n\n\t\t\t\t\t} else if ( texture.type === UnsignedIntType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT24;\n\n\t\t\t\t\t} else if ( texture.type === UnsignedInt248Type ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH24_STENCIL8;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT16; // WebGL2 requires sized internalformat for glTexImage2D\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( texture.type === FloatType ) {\n\n\t\t\t\t\t\tconsole.error( 'WebGLRenderer: Floating point depth texture requires WebGL2.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// validation checks for WebGL 1\n\n\t\t\t\tif ( texture.format === DepthFormat && glInternalFormat === _gl.DEPTH_COMPONENT ) {\n\n\t\t\t\t\t// The error INVALID_OPERATION is generated by texImage2D if format and internalformat are\n\t\t\t\t\t// DEPTH_COMPONENT and type is not UNSIGNED_SHORT or UNSIGNED_INT\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tif ( texture.type !== UnsignedShortType && texture.type !== UnsignedIntType ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture.' );\n\n\t\t\t\t\t\ttexture.type = UnsignedIntType;\n\t\t\t\t\t\tglType = utils.convert( texture.type );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( texture.format === DepthStencilFormat && glInternalFormat === _gl.DEPTH_COMPONENT ) {\n\n\t\t\t\t\t// Depth stencil textures need the DEPTH_STENCIL internal format\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tglInternalFormat = _gl.DEPTH_STENCIL;\n\n\t\t\t\t\t// The error INVALID_OPERATION is generated by texImage2D if format and internalformat are\n\t\t\t\t\t// DEPTH_STENCIL and type is not UNSIGNED_INT_24_8_WEBGL.\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tif ( texture.type !== UnsignedInt248Type ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture.' );\n\n\t\t\t\t\t\ttexture.type = UnsignedInt248Type;\n\t\t\t\t\t\tglType = utils.convert( texture.type );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t//\n\n\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, 1, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, null );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isDataTexture ) {\n\n\t\t\t\t// use manually created mipmaps if available\n\t\t\t\t// if there are no manual mipmaps\n\t\t\t\t// set 0 level mipmap and then use GL to generate other mipmap levels\n\n\t\t\t\tif ( mipmaps.length > 0 && supportsMips ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, 0, 0, 0, image.width, image.height, glFormat, glType, image.data );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, image.data );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isCompressedTexture ) {\n\n\t\t\t\tif ( texture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_2D_ARRAY, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage3D( _gl.TEXTURE_2D_ARRAY, i, 0, 0, 0, mipmap.width, mipmap.height, image.depth, glFormat, mipmap.data, 0, 0 );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage3D( _gl.TEXTURE_2D_ARRAY, i, glInternalFormat, mipmap.width, mipmap.height, image.depth, 0, mipmap.data, 0, 0 );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_2D_ARRAY, i, 0, 0, 0, mipmap.width, mipmap.height, image.depth, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_2D_ARRAY, i, glInternalFormat, mipmap.width, mipmap.height, image.depth, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, mipmap.data );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isDataArrayTexture ) {\n\n\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_2D_ARRAY, levels, glInternalFormat, image.width, image.height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_2D_ARRAY, 0, 0, 0, 0, image.width, image.height, image.depth, glFormat, glType, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_2D_ARRAY, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data );\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isData3DTexture ) {\n\n\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_3D, levels, glInternalFormat, image.width, image.height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_3D, 0, 0, 0, 0, image.width, image.height, image.depth, glFormat, glType, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_3D, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data );\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isFramebufferTexture ) {\n\n\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tlet width = image.width, height = image.height;\n\n\t\t\t\t\t\tfor ( let i = 0; i < levels; i ++ ) {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, width, height, 0, glFormat, glType, null );\n\n\t\t\t\t\t\t\twidth >>= 1;\n\t\t\t\t\t\t\theight >>= 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// regular Texture (image, video, canvas)\n\n\t\t\t\t// use manually created mipmaps if available\n\t\t\t\t// if there are no manual mipmaps\n\t\t\t\t// set 0 level mipmap and then use GL to generate other mipmap levels\n\n\t\t\t\tif ( mipmaps.length > 0 && supportsMips ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, glFormat, glType, mipmap );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, glFormat, glType, mipmap );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, 0, 0, 0, glFormat, glType, image );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, glFormat, glType, image );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( textureType );\n\n\t\t\t}\n\n\t\t\tsourceProperties.__version = source.version;\n\n\t\t\tif ( texture.onUpdate ) texture.onUpdate( texture );\n\n\t\t}\n\n\t\ttextureProperties.__version = texture.version;\n\n\t}\n\n\tfunction uploadCubeTexture( textureProperties, texture, slot ) {\n\n\t\tif ( texture.image.length !== 6 ) return;\n\n\t\tconst forceUpload = initTexture( textureProperties, texture );\n\t\tconst source = texture.source;\n\n\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t\tconst sourceProperties = properties.get( source );\n\n\t\tif ( source.version !== sourceProperties.__version || forceUpload === true ) {\n\n\t\t\tstate.activeTexture( _gl.TEXTURE0 + slot );\n\n\t\t\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\t\t\tconst texturePrimaries = texture.colorSpace === NoColorSpace ? null : ColorManagement.getPrimaries( texture.colorSpace );\n\t\t\tconst unpackConversion = texture.colorSpace === NoColorSpace || workingPrimaries === texturePrimaries ? _gl.NONE : _gl.BROWSER_DEFAULT_WEBGL;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, texture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, texture.unpackAlignment );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, unpackConversion );\n\n\t\t\tconst isCompressed = ( texture.isCompressedTexture || texture.image[ 0 ].isCompressedTexture );\n\t\t\tconst isDataTexture = ( texture.image[ 0 ] && texture.image[ 0 ].isDataTexture );\n\n\t\t\tconst cubeImage = [];\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( ! isCompressed && ! isDataTexture ) {\n\n\t\t\t\t\tcubeImage[ i ] = resizeImage( texture.image[ i ], false, true, capabilities.maxCubemapSize );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tcubeImage[ i ] = isDataTexture ? texture.image[ i ].image : texture.image[ i ];\n\n\t\t\t\t}\n\n\t\t\t\tcubeImage[ i ] = verifyColorSpace( texture, cubeImage[ i ] );\n\n\t\t\t}\n\n\t\t\tconst image = cubeImage[ 0 ],\n\t\t\t\tsupportsMips = isPowerOfTwo$1( image ) || isWebGL2,\n\t\t\t\tglFormat = utils.convert( texture.format, texture.colorSpace ),\n\t\t\t\tglType = utils.convert( texture.type ),\n\t\t\t\tglInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\n\t\t\tconst useTexStorage = ( isWebGL2 && texture.isVideoTexture !== true );\n\t\t\tconst allocateMemory = ( sourceProperties.__version === undefined ) || ( forceUpload === true );\n\t\t\tlet levels = getMipLevels( texture, image, supportsMips );\n\n\t\t\tsetTextureParameters( _gl.TEXTURE_CUBE_MAP, texture, supportsMips );\n\n\t\t\tlet mipmaps;\n\n\t\t\tif ( isCompressed ) {\n\n\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_CUBE_MAP, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tmipmaps = cubeImage[ i ].mipmaps;\n\n\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, 0, 0, mipmap.width, mipmap.height, glFormat, mipmap.data );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tmipmaps = texture.mipmaps;\n\n\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t// TODO: Uniformly handle mipmap definitions\n\t\t\t\t\t// Normal textures and compressed cube textures define base level + mips with their mipmap array\n\t\t\t\t\t// Uncompressed cube textures use their mipmap array only for mips (no base level)\n\n\t\t\t\t\tif ( mipmaps.length > 0 ) levels ++;\n\n\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_CUBE_MAP, levels, glInternalFormat, cubeImage[ 0 ].width, cubeImage[ 0 ].height );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tif ( isDataTexture ) {\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, 0, 0, cubeImage[ i ].width, cubeImage[ i ].height, glFormat, glType, cubeImage[ i ].data );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, cubeImage[ i ].width, cubeImage[ i ].height, 0, glFormat, glType, cubeImage[ i ].data );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\t\t\t\t\t\t\tconst mipmapImage = mipmap.image[ i ].image;\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, 0, 0, mipmapImage.width, mipmapImage.height, glFormat, glType, mipmapImage.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, mipmapImage.width, mipmapImage.height, 0, glFormat, glType, mipmapImage.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, 0, 0, glFormat, glType, cubeImage[ i ] );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, glFormat, glType, cubeImage[ i ] );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, 0, 0, glFormat, glType, mipmap.image[ i ] );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, glFormat, glType, mipmap.image[ i ] );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\t// We assume images for cube map have the same size.\n\t\t\t\tgenerateMipmap( _gl.TEXTURE_CUBE_MAP );\n\n\t\t\t}\n\n\t\t\tsourceProperties.__version = source.version;\n\n\t\t\tif ( texture.onUpdate ) texture.onUpdate( texture );\n\n\t\t}\n\n\t\ttextureProperties.__version = texture.version;\n\n\t}\n\n\t// Render targets\n\n\t// Setup storage for target texture and bind it to correct framebuffer\n\tfunction setupFrameBufferTexture( framebuffer, renderTarget, texture, attachment, textureTarget, level ) {\n\n\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\tconst glType = utils.convert( texture.type );\n\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\tif ( ! renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\tconst width = Math.max( 1, renderTarget.width >> level );\n\t\t\tconst height = Math.max( 1, renderTarget.height >> level );\n\n\t\t\tif ( textureTarget === _gl.TEXTURE_3D || textureTarget === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\tstate.texImage3D( textureTarget, level, glInternalFormat, width, height, renderTarget.depth, 0, glFormat, glType, null );\n\n\t\t\t} else {\n\n\t\t\t\tstate.texImage2D( textureTarget, level, glInternalFormat, width, height, 0, glFormat, glType, null );\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, attachment, textureTarget, properties.get( texture ).__webglTexture, 0, getRenderTargetSamples( renderTarget ) );\n\n\t\t} else if ( textureTarget === _gl.TEXTURE_2D || ( textureTarget >= _gl.TEXTURE_CUBE_MAP_POSITIVE_X && textureTarget <= _gl.TEXTURE_CUBE_MAP_NEGATIVE_Z ) ) { // see #24753\n\n\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, attachment, textureTarget, properties.get( texture ).__webglTexture, level );\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t}\n\n\n\t// Setup storage for internal depth/stencil buffers and bind to correct framebuffer\n\tfunction setupRenderBufferStorage( renderbuffer, renderTarget, isMultisample ) {\n\n\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, renderbuffer );\n\n\t\tif ( renderTarget.depthBuffer && ! renderTarget.stencilBuffer ) {\n\n\t\t\tlet glInternalFormat = ( isWebGL2 === true ) ? _gl.DEPTH_COMPONENT24 : _gl.DEPTH_COMPONENT16;\n\n\t\t\tif ( isMultisample || useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tconst depthTexture = renderTarget.depthTexture;\n\n\t\t\t\tif ( depthTexture && depthTexture.isDepthTexture ) {\n\n\t\t\t\t\tif ( depthTexture.type === FloatType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT32F;\n\n\t\t\t\t\t} else if ( depthTexture.type === UnsignedIntType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT24;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t}\n\n\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer );\n\n\t\t} else if ( renderTarget.depthBuffer && renderTarget.stencilBuffer ) {\n\n\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\tif ( isMultisample && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height );\n\n\t\t\t} else if ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, _gl.DEPTH_STENCIL, renderTarget.width, renderTarget.height );\n\n\t\t\t}\n\n\n\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer );\n\n\t\t} else {\n\n\t\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [ renderTarget.texture ];\n\n\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\tconst texture = textures[ i ];\n\n\t\t\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\t\t\tconst glType = utils.convert( texture.type );\n\t\t\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\t\tif ( isMultisample && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else if ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, null );\n\n\t}\n\n\t// Setup resources for a Depth Texture for a FBO (needs an extension)\n\tfunction setupDepthTexture( framebuffer, renderTarget ) {\n\n\t\tconst isCube = ( renderTarget && renderTarget.isWebGLCubeRenderTarget );\n\t\tif ( isCube ) throw new Error( 'Depth Texture with cube render targets is not supported' );\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\tif ( ! ( renderTarget.depthTexture && renderTarget.depthTexture.isDepthTexture ) ) {\n\n\t\t\tthrow new Error( 'renderTarget.depthTexture must be an instance of THREE.DepthTexture' );\n\n\t\t}\n\n\t\t// upload an empty depth texture with framebuffer size\n\t\tif ( ! properties.get( renderTarget.depthTexture ).__webglTexture ||\n\t\t\t\trenderTarget.depthTexture.image.width !== renderTarget.width ||\n\t\t\t\trenderTarget.depthTexture.image.height !== renderTarget.height ) {\n\n\t\t\trenderTarget.depthTexture.image.width = renderTarget.width;\n\t\t\trenderTarget.depthTexture.image.height = renderTarget.height;\n\t\t\trenderTarget.depthTexture.needsUpdate = true;\n\n\t\t}\n\n\t\tsetTexture2D( renderTarget.depthTexture, 0 );\n\n\t\tconst webglDepthTexture = properties.get( renderTarget.depthTexture ).__webglTexture;\n\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\tif ( renderTarget.depthTexture.format === DepthFormat ) {\n\n\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0, samples );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0 );\n\n\t\t\t}\n\n\t\t} else if ( renderTarget.depthTexture.format === DepthStencilFormat ) {\n\n\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0, samples );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0 );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'Unknown depthTexture format' );\n\n\t\t}\n\n\t}\n\n\t// Setup GL resources for a non-texture depth buffer\n\tfunction setupDepthRenderbuffer( renderTarget ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst isCube = ( renderTarget.isWebGLCubeRenderTarget === true );\n\n\t\tif ( renderTarget.depthTexture && ! renderTargetProperties.__autoAllocateDepthBuffer ) {\n\n\t\t\tif ( isCube ) throw new Error( 'target.depthTexture not supported in Cube render targets' );\n\n\t\t\tsetupDepthTexture( renderTargetProperties.__webglFramebuffer, renderTarget );\n\n\t\t} else {\n\n\t\t\tif ( isCube ) {\n\n\t\t\t\trenderTargetProperties.__webglDepthbuffer = [];\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer[ i ] );\n\t\t\t\t\trenderTargetProperties.__webglDepthbuffer[ i ] = _gl.createRenderbuffer();\n\t\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthbuffer[ i ], renderTarget, false );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\trenderTargetProperties.__webglDepthbuffer = _gl.createRenderbuffer();\n\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthbuffer, renderTarget, false );\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t}\n\n\t// rebind framebuffer with external textures\n\tfunction rebindTextures( renderTarget, colorTexture, depthTexture ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\tif ( colorTexture !== undefined ) {\n\n\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, renderTarget.texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_2D, 0 );\n\n\t\t}\n\n\t\tif ( depthTexture !== undefined ) {\n\n\t\t\tsetupDepthRenderbuffer( renderTarget );\n\n\t\t}\n\n\t}\n\n\t// Set up GL resources for the render target\n\tfunction setupRenderTarget( renderTarget ) {\n\n\t\tconst texture = renderTarget.texture;\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst textureProperties = properties.get( texture );\n\n\t\trenderTarget.addEventListener( 'dispose', onRenderTargetDispose );\n\n\t\tif ( renderTarget.isWebGLMultipleRenderTargets !== true ) {\n\n\t\t\tif ( textureProperties.__webglTexture === undefined ) {\n\n\t\t\t\ttextureProperties.__webglTexture = _gl.createTexture();\n\n\t\t\t}\n\n\t\t\ttextureProperties.__version = texture.version;\n\t\t\tinfo.memory.textures ++;\n\n\t\t}\n\n\t\tconst isCube = ( renderTarget.isWebGLCubeRenderTarget === true );\n\t\tconst isMultipleRenderTargets = ( renderTarget.isWebGLMultipleRenderTargets === true );\n\t\tconst supportsMips = isPowerOfTwo$1( renderTarget ) || isWebGL2;\n\n\t\t// Setup framebuffer\n\n\t\tif ( isCube ) {\n\n\t\t\trenderTargetProperties.__webglFramebuffer = [];\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ] = [];\n\n\t\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ][ level ] = _gl.createFramebuffer();\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ] = _gl.createFramebuffer();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\trenderTargetProperties.__webglFramebuffer = [];\n\n\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ level ] = _gl.createFramebuffer();\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\trenderTargetProperties.__webglFramebuffer = _gl.createFramebuffer();\n\n\t\t\t}\n\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tif ( capabilities.drawBuffers ) {\n\n\t\t\t\t\tconst textures = renderTarget.texture;\n\n\t\t\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst attachmentProperties = properties.get( textures[ i ] );\n\n\t\t\t\t\t\tif ( attachmentProperties.__webglTexture === undefined ) {\n\n\t\t\t\t\t\t\tattachmentProperties.__webglTexture = _gl.createTexture();\n\n\t\t\t\t\t\t\tinfo.memory.textures ++;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( ( isWebGL2 && renderTarget.samples > 0 ) && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\tconst textures = isMultipleRenderTargets ? texture : [ texture ];\n\n\t\t\t\trenderTargetProperties.__webglMultisampledFramebuffer = _gl.createFramebuffer();\n\t\t\t\trenderTargetProperties.__webglColorRenderbuffer = [];\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tconst texture = textures[ i ];\n\t\t\t\t\trenderTargetProperties.__webglColorRenderbuffer[ i ] = _gl.createRenderbuffer();\n\n\t\t\t\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\t\t\t\tconst glType = utils.convert( texture.type );\n\t\t\t\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace, renderTarget.isXRRenderTarget === true );\n\t\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, null );\n\n\t\t\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\t\t\trenderTargetProperties.__webglDepthRenderbuffer = _gl.createRenderbuffer();\n\t\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthRenderbuffer, renderTarget, true );\n\n\t\t\t\t}\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Setup color buffer\n\n\t\tif ( isCube ) {\n\n\t\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture );\n\t\t\tsetTextureParameters( _gl.TEXTURE_CUBE_MAP, texture, supportsMips );\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ i ][ level ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, level );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ i ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( _gl.TEXTURE_CUBE_MAP );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t} else if ( isMultipleRenderTargets ) {\n\n\t\t\tconst textures = renderTarget.texture;\n\n\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\tconst attachment = textures[ i ];\n\t\t\t\tconst attachmentProperties = properties.get( attachment );\n\n\t\t\t\tstate.bindTexture( _gl.TEXTURE_2D, attachmentProperties.__webglTexture );\n\t\t\t\tsetTextureParameters( _gl.TEXTURE_2D, attachment, supportsMips );\n\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, attachment, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, 0 );\n\n\t\t\t\tif ( textureNeedsGenerateMipmaps( attachment, supportsMips ) ) {\n\n\t\t\t\t\tgenerateMipmap( _gl.TEXTURE_2D );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t} else {\n\n\t\t\tlet glTextureType = _gl.TEXTURE_2D;\n\n\t\t\tif ( renderTarget.isWebGL3DRenderTarget || renderTarget.isWebGLArrayRenderTarget ) {\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tglTextureType = renderTarget.isWebGL3DRenderTarget ? _gl.TEXTURE_3D : _gl.TEXTURE_2D_ARRAY;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( 'THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindTexture( glTextureType, textureProperties.__webglTexture );\n\t\t\tsetTextureParameters( glTextureType, texture, supportsMips );\n\n\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ level ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType, level );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType, 0 );\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( glTextureType );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t}\n\n\t\t// Setup depth and stencil buffers\n\n\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\tsetupDepthRenderbuffer( renderTarget );\n\n\t\t}\n\n\t}\n\n\tfunction updateRenderTargetMipmap( renderTarget ) {\n\n\t\tconst supportsMips = isPowerOfTwo$1( renderTarget ) || isWebGL2;\n\n\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [ renderTarget.texture ];\n\n\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\tconst texture = textures[ i ];\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tconst target = renderTarget.isWebGLCubeRenderTarget ? _gl.TEXTURE_CUBE_MAP : _gl.TEXTURE_2D;\n\t\t\t\tconst webglTexture = properties.get( texture ).__webglTexture;\n\n\t\t\t\tstate.bindTexture( target, webglTexture );\n\t\t\t\tgenerateMipmap( target );\n\t\t\t\tstate.unbindTexture();\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction updateMultisampleRenderTarget( renderTarget ) {\n\n\t\tif ( ( isWebGL2 && renderTarget.samples > 0 ) && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets ? renderTarget.texture : [ renderTarget.texture ];\n\t\t\tconst width = renderTarget.width;\n\t\t\tconst height = renderTarget.height;\n\t\t\tlet mask = _gl.COLOR_BUFFER_BIT;\n\t\t\tconst invalidationArray = [];\n\t\t\tconst depthStyle = renderTarget.stencilBuffer ? _gl.DEPTH_STENCIL_ATTACHMENT : _gl.DEPTH_ATTACHMENT;\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\tconst isMultipleRenderTargets = ( renderTarget.isWebGLMultipleRenderTargets === true );\n\n\t\t\t// If MRT we need to remove FBO attachments\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, null );\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, null, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.READ_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\n\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\tinvalidationArray.push( _gl.COLOR_ATTACHMENT0 + i );\n\n\t\t\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\t\t\tinvalidationArray.push( depthStyle );\n\n\t\t\t\t}\n\n\t\t\t\tconst ignoreDepthValues = ( renderTargetProperties.__ignoreDepthValues !== undefined ) ? renderTargetProperties.__ignoreDepthValues : false;\n\n\t\t\t\tif ( ignoreDepthValues === false ) {\n\n\t\t\t\t\tif ( renderTarget.depthBuffer ) mask |= _gl.DEPTH_BUFFER_BIT;\n\t\t\t\t\tif ( renderTarget.stencilBuffer ) mask |= _gl.STENCIL_BUFFER_BIT;\n\n\t\t\t\t}\n\n\t\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.READ_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( ignoreDepthValues === true ) {\n\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.READ_FRAMEBUFFER, [ depthStyle ] );\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.DRAW_FRAMEBUFFER, [ depthStyle ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\t\tconst webglTexture = properties.get( textures[ i ] ).__webglTexture;\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_2D, webglTexture, 0 );\n\n\t\t\t\t}\n\n\t\t\t\t_gl.blitFramebuffer( 0, 0, width, height, 0, 0, width, height, mask, _gl.NEAREST );\n\n\t\t\t\tif ( supportsInvalidateFramebuffer ) {\n\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.READ_FRAMEBUFFER, invalidationArray );\n\n\t\t\t\t}\n\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.READ_FRAMEBUFFER, null );\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, null );\n\n\t\t\t// If MRT since pre-blit we removed the FBO we need to reconstruct the attachments\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t\tconst webglTexture = properties.get( textures[ i ] ).__webglTexture;\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, webglTexture, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t}\n\n\t}\n\n\tfunction getRenderTargetSamples( renderTarget ) {\n\n\t\treturn Math.min( capabilities.maxSamples, renderTarget.samples );\n\n\t}\n\n\tfunction useMultisampledRTT( renderTarget ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\treturn isWebGL2 && renderTarget.samples > 0 && extensions.has( 'WEBGL_multisampled_render_to_texture' ) === true && renderTargetProperties.__useRenderToTexture !== false;\n\n\t}\n\n\tfunction updateVideoTexture( texture ) {\n\n\t\tconst frame = info.render.frame;\n\n\t\t// Check the last frame we updated the VideoTexture\n\n\t\tif ( _videoTextures.get( texture ) !== frame ) {\n\n\t\t\t_videoTextures.set( texture, frame );\n\t\t\ttexture.update();\n\n\t\t}\n\n\t}\n\n\tfunction verifyColorSpace( texture, image ) {\n\n\t\tconst colorSpace = texture.colorSpace;\n\t\tconst format = texture.format;\n\t\tconst type = texture.type;\n\n\t\tif ( texture.isCompressedTexture === true || texture.isVideoTexture === true || texture.format === _SRGBAFormat ) return image;\n\n\t\tif ( colorSpace !== LinearSRGBColorSpace && colorSpace !== NoColorSpace ) {\n\n\t\t\t// sRGB\n\n\t\t\tif ( ColorManagement.getTransfer( colorSpace ) === SRGBTransfer ) {\n\n\t\t\t\tif ( isWebGL2 === false ) {\n\n\t\t\t\t\t// in WebGL 1, try to use EXT_sRGB extension and unsized formats\n\n\t\t\t\t\tif ( extensions.has( 'EXT_sRGB' ) === true && format === RGBAFormat ) {\n\n\t\t\t\t\t\ttexture.format = _SRGBAFormat;\n\n\t\t\t\t\t\t// it's not possible to generate mips in WebGL 1 with this extension\n\n\t\t\t\t\t\ttexture.minFilter = LinearFilter;\n\t\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// slow fallback (CPU decode)\n\n\t\t\t\t\t\timage = ImageUtils.sRGBToLinear( image );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// in WebGL 2 uncompressed textures can only be sRGB encoded if they have the RGBA8 format\n\n\t\t\t\t\tif ( format !== RGBAFormat || type !== UnsignedByteType ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconsole.error( 'THREE.WebGLTextures: Unsupported texture color space:', colorSpace );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn image;\n\n\t}\n\n\t//\n\n\tthis.allocateTextureUnit = allocateTextureUnit;\n\tthis.resetTextureUnits = resetTextureUnits;\n\n\tthis.setTexture2D = setTexture2D;\n\tthis.setTexture2DArray = setTexture2DArray;\n\tthis.setTexture3D = setTexture3D;\n\tthis.setTextureCube = setTextureCube;\n\tthis.rebindTextures = rebindTextures;\n\tthis.setupRenderTarget = setupRenderTarget;\n\tthis.updateRenderTargetMipmap = updateRenderTargetMipmap;\n\tthis.updateMultisampleRenderTarget = updateMultisampleRenderTarget;\n\tthis.setupDepthRenderbuffer = setupDepthRenderbuffer;\n\tthis.setupFrameBufferTexture = setupFrameBufferTexture;\n\tthis.useMultisampledRTT = useMultisampledRTT;\n\n}\n\nfunction WebGLUtils( gl, extensions, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tfunction convert( p, colorSpace = NoColorSpace ) {\n\n\t\tlet extension;\n\n\t\tconst transfer = ColorManagement.getTransfer( colorSpace );\n\n\t\tif ( p === UnsignedByteType ) return gl.UNSIGNED_BYTE;\n\t\tif ( p === UnsignedShort4444Type ) return gl.UNSIGNED_SHORT_4_4_4_4;\n\t\tif ( p === UnsignedShort5551Type ) return gl.UNSIGNED_SHORT_5_5_5_1;\n\n\t\tif ( p === ByteType ) return gl.BYTE;\n\t\tif ( p === ShortType ) return gl.SHORT;\n\t\tif ( p === UnsignedShortType ) return gl.UNSIGNED_SHORT;\n\t\tif ( p === IntType ) return gl.INT;\n\t\tif ( p === UnsignedIntType ) return gl.UNSIGNED_INT;\n\t\tif ( p === FloatType ) return gl.FLOAT;\n\n\t\tif ( p === HalfFloatType ) {\n\n\t\t\tif ( isWebGL2 ) return gl.HALF_FLOAT;\n\n\t\t\textension = extensions.get( 'OES_texture_half_float' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.HALF_FLOAT_OES;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( p === AlphaFormat ) return gl.ALPHA;\n\t\tif ( p === RGBAFormat ) return gl.RGBA;\n\t\tif ( p === LuminanceFormat ) return gl.LUMINANCE;\n\t\tif ( p === LuminanceAlphaFormat ) return gl.LUMINANCE_ALPHA;\n\t\tif ( p === DepthFormat ) return gl.DEPTH_COMPONENT;\n\t\tif ( p === DepthStencilFormat ) return gl.DEPTH_STENCIL;\n\n\t\t// WebGL 1 sRGB fallback\n\n\t\tif ( p === _SRGBAFormat ) {\n\n\t\t\textension = extensions.get( 'EXT_sRGB' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.SRGB_ALPHA_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// WebGL2 formats.\n\n\t\tif ( p === RedFormat ) return gl.RED;\n\t\tif ( p === RedIntegerFormat ) return gl.RED_INTEGER;\n\t\tif ( p === RGFormat ) return gl.RG;\n\t\tif ( p === RGIntegerFormat ) return gl.RG_INTEGER;\n\t\tif ( p === RGBAIntegerFormat ) return gl.RGBA_INTEGER;\n\n\t\t// S3TC\n\n\t\tif ( p === RGB_S3TC_DXT1_Format || p === RGBA_S3TC_DXT1_Format || p === RGBA_S3TC_DXT3_Format || p === RGBA_S3TC_DXT5_Format ) {\n\n\t\t\tif ( transfer === SRGBTransfer ) {\n\n\t\t\t\textension = extensions.get( 'WEBGL_compressed_texture_s3tc_srgb' );\n\n\t\t\t\tif ( extension !== null ) {\n\n\t\t\t\t\tif ( p === RGB_S3TC_DXT1_Format ) return extension.COMPRESSED_SRGB_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT1_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT3_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT5_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\textension = extensions.get( 'WEBGL_compressed_texture_s3tc' );\n\n\t\t\t\tif ( extension !== null ) {\n\n\t\t\t\t\tif ( p === RGB_S3TC_DXT1_Format ) return extension.COMPRESSED_RGB_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT1_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT3_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT3_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT5_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT5_EXT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// PVRTC\n\n\t\tif ( p === RGB_PVRTC_4BPPV1_Format || p === RGB_PVRTC_2BPPV1_Format || p === RGBA_PVRTC_4BPPV1_Format || p === RGBA_PVRTC_2BPPV1_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_pvrtc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGB_PVRTC_4BPPV1_Format ) return extension.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;\n\t\t\t\tif ( p === RGB_PVRTC_2BPPV1_Format ) return extension.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;\n\t\t\t\tif ( p === RGBA_PVRTC_4BPPV1_Format ) return extension.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;\n\t\t\t\tif ( p === RGBA_PVRTC_2BPPV1_Format ) return extension.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ETC1\n\n\t\tif ( p === RGB_ETC1_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_etc1' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.COMPRESSED_RGB_ETC1_WEBGL;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ETC2\n\n\t\tif ( p === RGB_ETC2_Format || p === RGBA_ETC2_EAC_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_etc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGB_ETC2_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ETC2 : extension.COMPRESSED_RGB8_ETC2;\n\t\t\t\tif ( p === RGBA_ETC2_EAC_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC : extension.COMPRESSED_RGBA8_ETC2_EAC;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ASTC\n\n\t\tif ( p === RGBA_ASTC_4x4_Format || p === RGBA_ASTC_5x4_Format || p === RGBA_ASTC_5x5_Format ||\n\t\t\tp === RGBA_ASTC_6x5_Format || p === RGBA_ASTC_6x6_Format || p === RGBA_ASTC_8x5_Format ||\n\t\t\tp === RGBA_ASTC_8x6_Format || p === RGBA_ASTC_8x8_Format || p === RGBA_ASTC_10x5_Format ||\n\t\t\tp === RGBA_ASTC_10x6_Format || p === RGBA_ASTC_10x8_Format || p === RGBA_ASTC_10x10_Format ||\n\t\t\tp === RGBA_ASTC_12x10_Format || p === RGBA_ASTC_12x12_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_astc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_ASTC_4x4_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR : extension.COMPRESSED_RGBA_ASTC_4x4_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_5x4_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR : extension.COMPRESSED_RGBA_ASTC_5x4_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_5x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR : extension.COMPRESSED_RGBA_ASTC_5x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_6x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR : extension.COMPRESSED_RGBA_ASTC_6x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_6x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR : extension.COMPRESSED_RGBA_ASTC_6x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR : extension.COMPRESSED_RGBA_ASTC_8x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR : extension.COMPRESSED_RGBA_ASTC_8x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x8_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR : extension.COMPRESSED_RGBA_ASTC_8x8_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR : extension.COMPRESSED_RGBA_ASTC_10x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR : extension.COMPRESSED_RGBA_ASTC_10x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x8_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR : extension.COMPRESSED_RGBA_ASTC_10x8_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x10_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR : extension.COMPRESSED_RGBA_ASTC_10x10_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_12x10_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR : extension.COMPRESSED_RGBA_ASTC_12x10_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_12x12_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR : extension.COMPRESSED_RGBA_ASTC_12x12_KHR;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// BPTC\n\n\t\tif ( p === RGBA_BPTC_Format || p === RGB_BPTC_SIGNED_Format || p === RGB_BPTC_UNSIGNED_Format ) {\n\n\t\t\textension = extensions.get( 'EXT_texture_compression_bptc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_BPTC_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT : extension.COMPRESSED_RGBA_BPTC_UNORM_EXT;\n\t\t\t\tif ( p === RGB_BPTC_SIGNED_Format ) return extension.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT;\n\t\t\t\tif ( p === RGB_BPTC_UNSIGNED_Format ) return extension.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// RGTC\n\n\t\tif ( p === RED_RGTC1_Format || p === SIGNED_RED_RGTC1_Format || p === RED_GREEN_RGTC2_Format || p === SIGNED_RED_GREEN_RGTC2_Format ) {\n\n\t\t\textension = extensions.get( 'EXT_texture_compression_rgtc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_BPTC_Format ) return extension.COMPRESSED_RED_RGTC1_EXT;\n\t\t\t\tif ( p === SIGNED_RED_RGTC1_Format ) return extension.COMPRESSED_SIGNED_RED_RGTC1_EXT;\n\t\t\t\tif ( p === RED_GREEN_RGTC2_Format ) return extension.COMPRESSED_RED_GREEN_RGTC2_EXT;\n\t\t\t\tif ( p === SIGNED_RED_GREEN_RGTC2_Format ) return extension.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( p === UnsignedInt248Type ) {\n\n\t\t\tif ( isWebGL2 ) return gl.UNSIGNED_INT_24_8;\n\n\t\t\textension = extensions.get( 'WEBGL_depth_texture' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.UNSIGNED_INT_24_8_WEBGL;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// if \"p\" can't be resolved, assume the user defines a WebGL constant as a string (fallback/workaround for packed RGB formats)\n\n\t\treturn ( gl[ p ] !== undefined ) ? gl[ p ] : null;\n\n\t}\n\n\treturn { convert: convert };\n\n}\n\nclass ArrayCamera extends PerspectiveCamera {\n\n\tconstructor( array = [] ) {\n\n\t\tsuper();\n\n\t\tthis.isArrayCamera = true;\n\n\t\tthis.cameras = array;\n\n\t}\n\n}\n\nclass Group extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isGroup = true;\n\n\t\tthis.type = 'Group';\n\n\t}\n\n}\n\nconst _moveEvent = { type: 'move' };\n\nclass WebXRController {\n\n\tconstructor() {\n\n\t\tthis._targetRay = null;\n\t\tthis._grip = null;\n\t\tthis._hand = null;\n\n\t}\n\n\tgetHandSpace() {\n\n\t\tif ( this._hand === null ) {\n\n\t\t\tthis._hand = new Group();\n\t\t\tthis._hand.matrixAutoUpdate = false;\n\t\t\tthis._hand.visible = false;\n\n\t\t\tthis._hand.joints = {};\n\t\t\tthis._hand.inputState = { pinching: false };\n\n\t\t}\n\n\t\treturn this._hand;\n\n\t}\n\n\tgetTargetRaySpace() {\n\n\t\tif ( this._targetRay === null ) {\n\n\t\t\tthis._targetRay = new Group();\n\t\t\tthis._targetRay.matrixAutoUpdate = false;\n\t\t\tthis._targetRay.visible = false;\n\t\t\tthis._targetRay.hasLinearVelocity = false;\n\t\t\tthis._targetRay.linearVelocity = new Vector3();\n\t\t\tthis._targetRay.hasAngularVelocity = false;\n\t\t\tthis._targetRay.angularVelocity = new Vector3();\n\n\t\t}\n\n\t\treturn this._targetRay;\n\n\t}\n\n\tgetGripSpace() {\n\n\t\tif ( this._grip === null ) {\n\n\t\t\tthis._grip = new Group();\n\t\t\tthis._grip.matrixAutoUpdate = false;\n\t\t\tthis._grip.visible = false;\n\t\t\tthis._grip.hasLinearVelocity = false;\n\t\t\tthis._grip.linearVelocity = new Vector3();\n\t\t\tthis._grip.hasAngularVelocity = false;\n\t\t\tthis._grip.angularVelocity = new Vector3();\n\n\t\t}\n\n\t\treturn this._grip;\n\n\t}\n\n\tdispatchEvent( event ) {\n\n\t\tif ( this._targetRay !== null ) {\n\n\t\t\tthis._targetRay.dispatchEvent( event );\n\n\t\t}\n\n\t\tif ( this._grip !== null ) {\n\n\t\t\tthis._grip.dispatchEvent( event );\n\n\t\t}\n\n\t\tif ( this._hand !== null ) {\n\n\t\t\tthis._hand.dispatchEvent( event );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tconnect( inputSource ) {\n\n\t\tif ( inputSource && inputSource.hand ) {\n\n\t\t\tconst hand = this._hand;\n\n\t\t\tif ( hand ) {\n\n\t\t\t\tfor ( const inputjoint of inputSource.hand.values() ) {\n\n\t\t\t\t\t// Initialize hand with joints when connected\n\t\t\t\t\tthis._getHandJoint( hand, inputjoint );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.dispatchEvent( { type: 'connected', data: inputSource } );\n\n\t\treturn this;\n\n\t}\n\n\tdisconnect( inputSource ) {\n\n\t\tthis.dispatchEvent( { type: 'disconnected', data: inputSource } );\n\n\t\tif ( this._targetRay !== null ) {\n\n\t\t\tthis._targetRay.visible = false;\n\n\t\t}\n\n\t\tif ( this._grip !== null ) {\n\n\t\t\tthis._grip.visible = false;\n\n\t\t}\n\n\t\tif ( this._hand !== null ) {\n\n\t\t\tthis._hand.visible = false;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tupdate( inputSource, frame, referenceSpace ) {\n\n\t\tlet inputPose = null;\n\t\tlet gripPose = null;\n\t\tlet handPose = null;\n\n\t\tconst targetRay = this._targetRay;\n\t\tconst grip = this._grip;\n\t\tconst hand = this._hand;\n\n\t\tif ( inputSource && frame.session.visibilityState !== 'visible-blurred' ) {\n\n\t\t\tif ( hand && inputSource.hand ) {\n\n\t\t\t\thandPose = true;\n\n\t\t\t\tfor ( const inputjoint of inputSource.hand.values() ) {\n\n\t\t\t\t\t// Update the joints groups with the XRJoint poses\n\t\t\t\t\tconst jointPose = frame.getJointPose( inputjoint, referenceSpace );\n\n\t\t\t\t\t// The transform of this joint will be updated with the joint pose on each frame\n\t\t\t\t\tconst joint = this._getHandJoint( hand, inputjoint );\n\n\t\t\t\t\tif ( jointPose !== null ) {\n\n\t\t\t\t\t\tjoint.matrix.fromArray( jointPose.transform.matrix );\n\t\t\t\t\t\tjoint.matrix.decompose( joint.position, joint.rotation, joint.scale );\n\t\t\t\t\t\tjoint.matrixWorldNeedsUpdate = true;\n\t\t\t\t\t\tjoint.jointRadius = jointPose.radius;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tjoint.visible = jointPose !== null;\n\n\t\t\t\t}\n\n\t\t\t\t// Custom events\n\n\t\t\t\t// Check pinchz\n\t\t\t\tconst indexTip = hand.joints[ 'index-finger-tip' ];\n\t\t\t\tconst thumbTip = hand.joints[ 'thumb-tip' ];\n\t\t\t\tconst distance = indexTip.position.distanceTo( thumbTip.position );\n\n\t\t\t\tconst distanceToPinch = 0.02;\n\t\t\t\tconst threshold = 0.005;\n\n\t\t\t\tif ( hand.inputState.pinching && distance > distanceToPinch + threshold ) {\n\n\t\t\t\t\thand.inputState.pinching = false;\n\t\t\t\t\tthis.dispatchEvent( {\n\t\t\t\t\t\ttype: 'pinchend',\n\t\t\t\t\t\thandedness: inputSource.handedness,\n\t\t\t\t\t\ttarget: this\n\t\t\t\t\t} );\n\n\t\t\t\t} else if ( ! hand.inputState.pinching && distance <= distanceToPinch - threshold ) {\n\n\t\t\t\t\thand.inputState.pinching = true;\n\t\t\t\t\tthis.dispatchEvent( {\n\t\t\t\t\t\ttype: 'pinchstart',\n\t\t\t\t\t\thandedness: inputSource.handedness,\n\t\t\t\t\t\ttarget: this\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( grip !== null && inputSource.gripSpace ) {\n\n\t\t\t\t\tgripPose = frame.getPose( inputSource.gripSpace, referenceSpace );\n\n\t\t\t\t\tif ( gripPose !== null ) {\n\n\t\t\t\t\t\tgrip.matrix.fromArray( gripPose.transform.matrix );\n\t\t\t\t\t\tgrip.matrix.decompose( grip.position, grip.rotation, grip.scale );\n\t\t\t\t\t\tgrip.matrixWorldNeedsUpdate = true;\n\n\t\t\t\t\t\tif ( gripPose.linearVelocity ) {\n\n\t\t\t\t\t\t\tgrip.hasLinearVelocity = true;\n\t\t\t\t\t\t\tgrip.linearVelocity.copy( gripPose.linearVelocity );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tgrip.hasLinearVelocity = false;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( gripPose.angularVelocity ) {\n\n\t\t\t\t\t\t\tgrip.hasAngularVelocity = true;\n\t\t\t\t\t\t\tgrip.angularVelocity.copy( gripPose.angularVelocity );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tgrip.hasAngularVelocity = false;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( targetRay !== null ) {\n\n\t\t\t\tinputPose = frame.getPose( inputSource.targetRaySpace, referenceSpace );\n\n\t\t\t\t// Some runtimes (namely Vive Cosmos with Vive OpenXR Runtime) have only grip space and ray space is equal to it\n\t\t\t\tif ( inputPose === null && gripPose !== null ) {\n\n\t\t\t\t\tinputPose = gripPose;\n\n\t\t\t\t}\n\n\t\t\t\tif ( inputPose !== null ) {\n\n\t\t\t\t\ttargetRay.matrix.fromArray( inputPose.transform.matrix );\n\t\t\t\t\ttargetRay.matrix.decompose( targetRay.position, targetRay.rotation, targetRay.scale );\n\t\t\t\t\ttargetRay.matrixWorldNeedsUpdate = true;\n\n\t\t\t\t\tif ( inputPose.linearVelocity ) {\n\n\t\t\t\t\t\ttargetRay.hasLinearVelocity = true;\n\t\t\t\t\t\ttargetRay.linearVelocity.copy( inputPose.linearVelocity );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttargetRay.hasLinearVelocity = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( inputPose.angularVelocity ) {\n\n\t\t\t\t\t\ttargetRay.hasAngularVelocity = true;\n\t\t\t\t\t\ttargetRay.angularVelocity.copy( inputPose.angularVelocity );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttargetRay.hasAngularVelocity = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tthis.dispatchEvent( _moveEvent );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t}\n\n\t\tif ( targetRay !== null ) {\n\n\t\t\ttargetRay.visible = ( inputPose !== null );\n\n\t\t}\n\n\t\tif ( grip !== null ) {\n\n\t\t\tgrip.visible = ( gripPose !== null );\n\n\t\t}\n\n\t\tif ( hand !== null ) {\n\n\t\t\thand.visible = ( handPose !== null );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// private method\n\n\t_getHandJoint( hand, inputjoint ) {\n\n\t\tif ( hand.joints[ inputjoint.jointName ] === undefined ) {\n\n\t\t\tconst joint = new Group();\n\t\t\tjoint.matrixAutoUpdate = false;\n\t\t\tjoint.visible = false;\n\t\t\thand.joints[ inputjoint.jointName ] = joint;\n\n\t\t\thand.add( joint );\n\n\t\t}\n\n\t\treturn hand.joints[ inputjoint.jointName ];\n\n\t}\n\n}\n\nclass WebXRManager extends EventDispatcher {\n\n\tconstructor( renderer, gl ) {\n\n\t\tsuper();\n\n\t\tconst scope = this;\n\n\t\tlet session = null;\n\n\t\tlet framebufferScaleFactor = 1.0;\n\n\t\tlet referenceSpace = null;\n\t\tlet referenceSpaceType = 'local-floor';\n\t\t// Set default foveation to maximum.\n\t\tlet foveation = 1.0;\n\t\tlet customReferenceSpace = null;\n\n\t\tlet pose = null;\n\t\tlet glBinding = null;\n\t\tlet glProjLayer = null;\n\t\tlet glBaseLayer = null;\n\t\tlet xrFrame = null;\n\t\tconst attributes = gl.getContextAttributes();\n\t\tlet initialRenderTarget = null;\n\t\tlet newRenderTarget = null;\n\n\t\tconst controllers = [];\n\t\tconst controllerInputSources = [];\n\n\t\tconst currentSize = new Vector2();\n\t\tlet currentPixelRatio = null;\n\n\t\t//\n\n\t\tconst cameraL = new PerspectiveCamera();\n\t\tcameraL.layers.enable( 1 );\n\t\tcameraL.viewport = new Vector4();\n\n\t\tconst cameraR = new PerspectiveCamera();\n\t\tcameraR.layers.enable( 2 );\n\t\tcameraR.viewport = new Vector4();\n\n\t\tconst cameras = [ cameraL, cameraR ];\n\n\t\tconst cameraXR = new ArrayCamera();\n\t\tcameraXR.layers.enable( 1 );\n\t\tcameraXR.layers.enable( 2 );\n\n\t\tlet _currentDepthNear = null;\n\t\tlet _currentDepthFar = null;\n\n\t\t//\n\n\t\tthis.cameraAutoUpdate = true;\n\t\tthis.enabled = false;\n\n\t\tthis.isPresenting = false;\n\n\t\tthis.getController = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getTargetRaySpace();\n\n\t\t};\n\n\t\tthis.getControllerGrip = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getGripSpace();\n\n\t\t};\n\n\t\tthis.getHand = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getHandSpace();\n\n\t\t};\n\n\t\t//\n\n\t\tfunction onSessionEvent( event ) {\n\n\t\t\tconst controllerIndex = controllerInputSources.indexOf( event.inputSource );\n\n\t\t\tif ( controllerIndex === - 1 ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst controller = controllers[ controllerIndex ];\n\n\t\t\tif ( controller !== undefined ) {\n\n\t\t\t\tcontroller.update( event.inputSource, event.frame, customReferenceSpace || referenceSpace );\n\t\t\t\tcontroller.dispatchEvent( { type: event.type, data: event.inputSource } );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onSessionEnd() {\n\n\t\t\tsession.removeEventListener( 'select', onSessionEvent );\n\t\t\tsession.removeEventListener( 'selectstart', onSessionEvent );\n\t\t\tsession.removeEventListener( 'selectend', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeeze', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeezestart', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeezeend', onSessionEvent );\n\t\t\tsession.removeEventListener( 'end', onSessionEnd );\n\t\t\tsession.removeEventListener( 'inputsourceschange', onInputSourcesChange );\n\n\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\tconst inputSource = controllerInputSources[ i ];\n\n\t\t\t\tif ( inputSource === null ) continue;\n\n\t\t\t\tcontrollerInputSources[ i ] = null;\n\n\t\t\t\tcontrollers[ i ].disconnect( inputSource );\n\n\t\t\t}\n\n\t\t\t_currentDepthNear = null;\n\t\t\t_currentDepthFar = null;\n\n\t\t\t// restore framebuffer/rendering state\n\n\t\t\trenderer.setRenderTarget( initialRenderTarget );\n\n\t\t\tglBaseLayer = null;\n\t\t\tglProjLayer = null;\n\t\t\tglBinding = null;\n\t\t\tsession = null;\n\t\t\tnewRenderTarget = null;\n\n\t\t\t//\n\n\t\t\tanimation.stop();\n\n\t\t\tscope.isPresenting = false;\n\n\t\t\trenderer.setPixelRatio( currentPixelRatio );\n\t\t\trenderer.setSize( currentSize.width, currentSize.height, false );\n\n\t\t\tscope.dispatchEvent( { type: 'sessionend' } );\n\n\t\t}\n\n\t\tthis.setFramebufferScaleFactor = function ( value ) {\n\n\t\t\tframebufferScaleFactor = value;\n\n\t\t\tif ( scope.isPresenting === true ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebXRManager: Cannot change framebuffer scale while presenting.' );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.setReferenceSpaceType = function ( value ) {\n\n\t\t\treferenceSpaceType = value;\n\n\t\t\tif ( scope.isPresenting === true ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebXRManager: Cannot change reference space type while presenting.' );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.getReferenceSpace = function () {\n\n\t\t\treturn customReferenceSpace || referenceSpace;\n\n\t\t};\n\n\t\tthis.setReferenceSpace = function ( space ) {\n\n\t\t\tcustomReferenceSpace = space;\n\n\t\t};\n\n\t\tthis.getBaseLayer = function () {\n\n\t\t\treturn glProjLayer !== null ? glProjLayer : glBaseLayer;\n\n\t\t};\n\n\t\tthis.getBinding = function () {\n\n\t\t\treturn glBinding;\n\n\t\t};\n\n\t\tthis.getFrame = function () {\n\n\t\t\treturn xrFrame;\n\n\t\t};\n\n\t\tthis.getSession = function () {\n\n\t\t\treturn session;\n\n\t\t};\n\n\t\tthis.setSession = async function ( value ) {\n\n\t\t\tsession = value;\n\n\t\t\tif ( session !== null ) {\n\n\t\t\t\tinitialRenderTarget = renderer.getRenderTarget();\n\n\t\t\t\tsession.addEventListener( 'select', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'selectstart', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'selectend', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeeze', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeezestart', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeezeend', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'end', onSessionEnd );\n\t\t\t\tsession.addEventListener( 'inputsourceschange', onInputSourcesChange );\n\n\t\t\t\tif ( attributes.xrCompatible !== true ) {\n\n\t\t\t\t\tawait gl.makeXRCompatible();\n\n\t\t\t\t}\n\n\t\t\t\tcurrentPixelRatio = renderer.getPixelRatio();\n\t\t\t\trenderer.getSize( currentSize );\n\n\t\t\t\tif ( ( session.renderState.layers === undefined ) || ( renderer.capabilities.isWebGL2 === false ) ) {\n\n\t\t\t\t\tconst layerInit = {\n\t\t\t\t\t\tantialias: ( session.renderState.layers === undefined ) ? attributes.antialias : true,\n\t\t\t\t\t\talpha: true,\n\t\t\t\t\t\tdepth: attributes.depth,\n\t\t\t\t\t\tstencil: attributes.stencil,\n\t\t\t\t\t\tframebufferScaleFactor: framebufferScaleFactor\n\t\t\t\t\t};\n\n\t\t\t\t\tglBaseLayer = new XRWebGLLayer( session, gl, layerInit );\n\n\t\t\t\t\tsession.updateRenderState( { baseLayer: glBaseLayer } );\n\n\t\t\t\t\trenderer.setPixelRatio( 1 );\n\t\t\t\t\trenderer.setSize( glBaseLayer.framebufferWidth, glBaseLayer.framebufferHeight, false );\n\n\t\t\t\t\tnewRenderTarget = new WebGLRenderTarget(\n\t\t\t\t\t\tglBaseLayer.framebufferWidth,\n\t\t\t\t\t\tglBaseLayer.framebufferHeight,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tformat: RGBAFormat,\n\t\t\t\t\t\t\ttype: UnsignedByteType,\n\t\t\t\t\t\t\tcolorSpace: renderer.outputColorSpace,\n\t\t\t\t\t\t\tstencilBuffer: attributes.stencil\n\t\t\t\t\t\t}\n\t\t\t\t\t);\n\n\t\t\t\t} else {\n\n\t\t\t\t\tlet depthFormat = null;\n\t\t\t\t\tlet depthType = null;\n\t\t\t\t\tlet glDepthFormat = null;\n\n\t\t\t\t\tif ( attributes.depth ) {\n\n\t\t\t\t\t\tglDepthFormat = attributes.stencil ? gl.DEPTH24_STENCIL8 : gl.DEPTH_COMPONENT24;\n\t\t\t\t\t\tdepthFormat = attributes.stencil ? DepthStencilFormat : DepthFormat;\n\t\t\t\t\t\tdepthType = attributes.stencil ? UnsignedInt248Type : UnsignedIntType;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst projectionlayerInit = {\n\t\t\t\t\t\tcolorFormat: gl.RGBA8,\n\t\t\t\t\t\tdepthFormat: glDepthFormat,\n\t\t\t\t\t\tscaleFactor: framebufferScaleFactor\n\t\t\t\t\t};\n\n\t\t\t\t\tglBinding = new XRWebGLBinding( session, gl );\n\n\t\t\t\t\tglProjLayer = glBinding.createProjectionLayer( projectionlayerInit );\n\n\t\t\t\t\tsession.updateRenderState( { layers: [ glProjLayer ] } );\n\n\t\t\t\t\trenderer.setPixelRatio( 1 );\n\t\t\t\t\trenderer.setSize( glProjLayer.textureWidth, glProjLayer.textureHeight, false );\n\n\t\t\t\t\tnewRenderTarget = new WebGLRenderTarget(\n\t\t\t\t\t\tglProjLayer.textureWidth,\n\t\t\t\t\t\tglProjLayer.textureHeight,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tformat: RGBAFormat,\n\t\t\t\t\t\t\ttype: UnsignedByteType,\n\t\t\t\t\t\t\tdepthTexture: new DepthTexture( glProjLayer.textureWidth, glProjLayer.textureHeight, depthType, undefined, undefined, undefined, undefined, undefined, undefined, depthFormat ),\n\t\t\t\t\t\t\tstencilBuffer: attributes.stencil,\n\t\t\t\t\t\t\tcolorSpace: renderer.outputColorSpace,\n\t\t\t\t\t\t\tsamples: attributes.antialias ? 4 : 0\n\t\t\t\t\t\t} );\n\n\t\t\t\t\tconst renderTargetProperties = renderer.properties.get( newRenderTarget );\n\t\t\t\t\trenderTargetProperties.__ignoreDepthValues = glProjLayer.ignoreDepthValues;\n\n\t\t\t\t}\n\n\t\t\t\tnewRenderTarget.isXRRenderTarget = true; // TODO Remove this when possible, see #23278\n\n\t\t\t\tthis.setFoveation( foveation );\n\n\t\t\t\tcustomReferenceSpace = null;\n\t\t\t\treferenceSpace = await session.requestReferenceSpace( referenceSpaceType );\n\n\t\t\t\tanimation.setContext( session );\n\t\t\t\tanimation.start();\n\n\t\t\t\tscope.isPresenting = true;\n\n\t\t\t\tscope.dispatchEvent( { type: 'sessionstart' } );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.getEnvironmentBlendMode = function () {\n\n\t\t\tif ( session !== null ) {\n\n\t\t\t\treturn session.environmentBlendMode;\n\n\t\t\t}\n\n\t\t};\n\n\t\tfunction onInputSourcesChange( event ) {\n\n\t\t\t// Notify disconnected\n\n\t\t\tfor ( let i = 0; i < event.removed.length; i ++ ) {\n\n\t\t\t\tconst inputSource = event.removed[ i ];\n\t\t\t\tconst index = controllerInputSources.indexOf( inputSource );\n\n\t\t\t\tif ( index >= 0 ) {\n\n\t\t\t\t\tcontrollerInputSources[ index ] = null;\n\t\t\t\t\tcontrollers[ index ].disconnect( inputSource );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Notify connected\n\n\t\t\tfor ( let i = 0; i < event.added.length; i ++ ) {\n\n\t\t\t\tconst inputSource = event.added[ i ];\n\n\t\t\t\tlet controllerIndex = controllerInputSources.indexOf( inputSource );\n\n\t\t\t\tif ( controllerIndex === - 1 ) {\n\n\t\t\t\t\t// Assign input source a controller that currently has no input source\n\n\t\t\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\t\t\tif ( i >= controllerInputSources.length ) {\n\n\t\t\t\t\t\t\tcontrollerInputSources.push( inputSource );\n\t\t\t\t\t\t\tcontrollerIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t} else if ( controllerInputSources[ i ] === null ) {\n\n\t\t\t\t\t\t\tcontrollerInputSources[ i ] = inputSource;\n\t\t\t\t\t\t\tcontrollerIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// If all controllers do currently receive input we ignore new ones\n\n\t\t\t\t\tif ( controllerIndex === - 1 ) break;\n\n\t\t\t\t}\n\n\t\t\t\tconst controller = controllers[ controllerIndex ];\n\n\t\t\t\tif ( controller ) {\n\n\t\t\t\t\tcontroller.connect( inputSource );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tconst cameraLPos = new Vector3();\n\t\tconst cameraRPos = new Vector3();\n\n\t\t/**\n\t\t * Assumes 2 cameras that are parallel and share an X-axis, and that\n\t\t * the cameras' projection and world matrices have already been set.\n\t\t * And that near and far planes are identical for both cameras.\n\t\t * Visualization of this technique: https://computergraphics.stackexchange.com/a/4765\n\t\t */\n\t\tfunction setProjectionFromUnion( camera, cameraL, cameraR ) {\n\n\t\t\tcameraLPos.setFromMatrixPosition( cameraL.matrixWorld );\n\t\t\tcameraRPos.setFromMatrixPosition( cameraR.matrixWorld );\n\n\t\t\tconst ipd = cameraLPos.distanceTo( cameraRPos );\n\n\t\t\tconst projL = cameraL.projectionMatrix.elements;\n\t\t\tconst projR = cameraR.projectionMatrix.elements;\n\n\t\t\t// VR systems will have identical far and near planes, and\n\t\t\t// most likely identical top and bottom frustum extents.\n\t\t\t// Use the left camera for these values.\n\t\t\tconst near = projL[ 14 ] / ( projL[ 10 ] - 1 );\n\t\t\tconst far = projL[ 14 ] / ( projL[ 10 ] + 1 );\n\t\t\tconst topFov = ( projL[ 9 ] + 1 ) / projL[ 5 ];\n\t\t\tconst bottomFov = ( projL[ 9 ] - 1 ) / projL[ 5 ];\n\n\t\t\tconst leftFov = ( projL[ 8 ] - 1 ) / projL[ 0 ];\n\t\t\tconst rightFov = ( projR[ 8 ] + 1 ) / projR[ 0 ];\n\t\t\tconst left = near * leftFov;\n\t\t\tconst right = near * rightFov;\n\n\t\t\t// Calculate the new camera's position offset from the\n\t\t\t// left camera. xOffset should be roughly half `ipd`.\n\t\t\tconst zOffset = ipd / ( - leftFov + rightFov );\n\t\t\tconst xOffset = zOffset * - leftFov;\n\n\t\t\t// TODO: Better way to apply this offset?\n\t\t\tcameraL.matrixWorld.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.translateX( xOffset );\n\t\t\tcamera.translateZ( zOffset );\n\t\t\tcamera.matrixWorld.compose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.matrixWorldInverse.copy( camera.matrixWorld ).invert();\n\n\t\t\t// Find the union of the frustum values of the cameras and scale\n\t\t\t// the values so that the near plane's position does not change in world space,\n\t\t\t// although must now be relative to the new union camera.\n\t\t\tconst near2 = near + zOffset;\n\t\t\tconst far2 = far + zOffset;\n\t\t\tconst left2 = left - xOffset;\n\t\t\tconst right2 = right + ( ipd - xOffset );\n\t\t\tconst top2 = topFov * far / far2 * near2;\n\t\t\tconst bottom2 = bottomFov * far / far2 * near2;\n\n\t\t\tcamera.projectionMatrix.makePerspective( left2, right2, top2, bottom2, near2, far2 );\n\t\t\tcamera.projectionMatrixInverse.copy( camera.projectionMatrix ).invert();\n\n\t\t}\n\n\t\tfunction updateCamera( camera, parent ) {\n\n\t\t\tif ( parent === null ) {\n\n\t\t\t\tcamera.matrixWorld.copy( camera.matrix );\n\n\t\t\t} else {\n\n\t\t\t\tcamera.matrixWorld.multiplyMatrices( parent.matrixWorld, camera.matrix );\n\n\t\t\t}\n\n\t\t\tcamera.matrixWorldInverse.copy( camera.matrixWorld ).invert();\n\n\t\t}\n\n\t\tthis.updateCamera = function ( camera ) {\n\n\t\t\tif ( session === null ) return;\n\n\t\t\tcameraXR.near = cameraR.near = cameraL.near = camera.near;\n\t\t\tcameraXR.far = cameraR.far = cameraL.far = camera.far;\n\n\t\t\tif ( _currentDepthNear !== cameraXR.near || _currentDepthFar !== cameraXR.far ) {\n\n\t\t\t\t// Note that the new renderState won't apply until the next frame. See #18320\n\n\t\t\t\tsession.updateRenderState( {\n\t\t\t\t\tdepthNear: cameraXR.near,\n\t\t\t\t\tdepthFar: cameraXR.far\n\t\t\t\t} );\n\n\t\t\t\t_currentDepthNear = cameraXR.near;\n\t\t\t\t_currentDepthFar = cameraXR.far;\n\n\t\t\t}\n\n\t\t\tconst parent = camera.parent;\n\t\t\tconst cameras = cameraXR.cameras;\n\n\t\t\tupdateCamera( cameraXR, parent );\n\n\t\t\tfor ( let i = 0; i < cameras.length; i ++ ) {\n\n\t\t\t\tupdateCamera( cameras[ i ], parent );\n\n\t\t\t}\n\n\t\t\t// update projection matrix for proper view frustum culling\n\n\t\t\tif ( cameras.length === 2 ) {\n\n\t\t\t\tsetProjectionFromUnion( cameraXR, cameraL, cameraR );\n\n\t\t\t} else {\n\n\t\t\t\t// assume single camera setup (AR)\n\n\t\t\t\tcameraXR.projectionMatrix.copy( cameraL.projectionMatrix );\n\n\t\t\t}\n\n\t\t\t// update user camera and its children\n\n\t\t\tupdateUserCamera( camera, cameraXR, parent );\n\n\t\t};\n\n\t\tfunction updateUserCamera( camera, cameraXR, parent ) {\n\n\t\t\tif ( parent === null ) {\n\n\t\t\t\tcamera.matrix.copy( cameraXR.matrixWorld );\n\n\t\t\t} else {\n\n\t\t\t\tcamera.matrix.copy( parent.matrixWorld );\n\t\t\t\tcamera.matrix.invert();\n\t\t\t\tcamera.matrix.multiply( cameraXR.matrixWorld );\n\n\t\t\t}\n\n\t\t\tcamera.matrix.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.updateMatrixWorld( true );\n\n\t\t\tcamera.projectionMatrix.copy( cameraXR.projectionMatrix );\n\t\t\tcamera.projectionMatrixInverse.copy( cameraXR.projectionMatrixInverse );\n\n\t\t\tif ( camera.isPerspectiveCamera ) {\n\n\t\t\t\tcamera.fov = RAD2DEG * 2 * Math.atan( 1 / camera.projectionMatrix.elements[ 5 ] );\n\t\t\t\tcamera.zoom = 1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.getCamera = function () {\n\n\t\t\treturn cameraXR;\n\n\t\t};\n\n\t\tthis.getFoveation = function () {\n\n\t\t\tif ( glProjLayer === null && glBaseLayer === null ) {\n\n\t\t\t\treturn undefined;\n\n\t\t\t}\n\n\t\t\treturn foveation;\n\n\t\t};\n\n\t\tthis.setFoveation = function ( value ) {\n\n\t\t\t// 0 = no foveation = full resolution\n\t\t\t// 1 = maximum foveation = the edges render at lower resolution\n\n\t\t\tfoveation = value;\n\n\t\t\tif ( glProjLayer !== null ) {\n\n\t\t\t\tglProjLayer.fixedFoveation = value;\n\n\t\t\t}\n\n\t\t\tif ( glBaseLayer !== null && glBaseLayer.fixedFoveation !== undefined ) {\n\n\t\t\t\tglBaseLayer.fixedFoveation = value;\n\n\t\t\t}\n\n\t\t};\n\n\t\t// Animation Loop\n\n\t\tlet onAnimationFrameCallback = null;\n\n\t\tfunction onAnimationFrame( time, frame ) {\n\n\t\t\tpose = frame.getViewerPose( customReferenceSpace || referenceSpace );\n\t\t\txrFrame = frame;\n\n\t\t\tif ( pose !== null ) {\n\n\t\t\t\tconst views = pose.views;\n\n\t\t\t\tif ( glBaseLayer !== null ) {\n\n\t\t\t\t\trenderer.setRenderTargetFramebuffer( newRenderTarget, glBaseLayer.framebuffer );\n\t\t\t\t\trenderer.setRenderTarget( newRenderTarget );\n\n\t\t\t\t}\n\n\t\t\t\tlet cameraXRNeedsUpdate = false;\n\n\t\t\t\t// check if it's necessary to rebuild cameraXR's camera list\n\n\t\t\t\tif ( views.length !== cameraXR.cameras.length ) {\n\n\t\t\t\t\tcameraXR.cameras.length = 0;\n\t\t\t\t\tcameraXRNeedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < views.length; i ++ ) {\n\n\t\t\t\t\tconst view = views[ i ];\n\n\t\t\t\t\tlet viewport = null;\n\n\t\t\t\t\tif ( glBaseLayer !== null ) {\n\n\t\t\t\t\t\tviewport = glBaseLayer.getViewport( view );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst glSubImage = glBinding.getViewSubImage( glProjLayer, view );\n\t\t\t\t\t\tviewport = glSubImage.viewport;\n\n\t\t\t\t\t\t// For side-by-side projection, we only produce a single texture for both eyes.\n\t\t\t\t\t\tif ( i === 0 ) {\n\n\t\t\t\t\t\t\trenderer.setRenderTargetTextures(\n\t\t\t\t\t\t\t\tnewRenderTarget,\n\t\t\t\t\t\t\t\tglSubImage.colorTexture,\n\t\t\t\t\t\t\t\tglProjLayer.ignoreDepthValues ? undefined : glSubImage.depthStencilTexture );\n\n\t\t\t\t\t\t\trenderer.setRenderTarget( newRenderTarget );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tlet camera = cameras[ i ];\n\n\t\t\t\t\tif ( camera === undefined ) {\n\n\t\t\t\t\t\tcamera = new PerspectiveCamera();\n\t\t\t\t\t\tcamera.layers.enable( i );\n\t\t\t\t\t\tcamera.viewport = new Vector4();\n\t\t\t\t\t\tcameras[ i ] = camera;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcamera.matrix.fromArray( view.transform.matrix );\n\t\t\t\t\tcamera.matrix.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\t\t\tcamera.projectionMatrix.fromArray( view.projectionMatrix );\n\t\t\t\t\tcamera.projectionMatrixInverse.copy( camera.projectionMatrix ).invert();\n\t\t\t\t\tcamera.viewport.set( viewport.x, viewport.y, viewport.width, viewport.height );\n\n\t\t\t\t\tif ( i === 0 ) {\n\n\t\t\t\t\t\tcameraXR.matrix.copy( camera.matrix );\n\t\t\t\t\t\tcameraXR.matrix.decompose( cameraXR.position, cameraXR.quaternion, cameraXR.scale );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( cameraXRNeedsUpdate === true ) {\n\n\t\t\t\t\t\tcameraXR.cameras.push( camera );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\tconst inputSource = controllerInputSources[ i ];\n\t\t\t\tconst controller = controllers[ i ];\n\n\t\t\t\tif ( inputSource !== null && controller !== undefined ) {\n\n\t\t\t\t\tcontroller.update( inputSource, frame, customReferenceSpace || referenceSpace );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( onAnimationFrameCallback ) onAnimationFrameCallback( time, frame );\n\n\t\t\tif ( frame.detectedPlanes ) {\n\n\t\t\t\tscope.dispatchEvent( { type: 'planesdetected', data: frame } );\n\n\t\t\t}\n\n\t\t\txrFrame = null;\n\n\t\t}\n\n\t\tconst animation = new WebGLAnimation();\n\n\t\tanimation.setAnimationLoop( onAnimationFrame );\n\n\t\tthis.setAnimationLoop = function ( callback ) {\n\n\t\t\tonAnimationFrameCallback = callback;\n\n\t\t};\n\n\t\tthis.dispose = function () {};\n\n\t}\n\n}\n\nfunction WebGLMaterials( renderer, properties ) {\n\n\tfunction refreshTransformUniform( map, uniform ) {\n\n\t\tif ( map.matrixAutoUpdate === true ) {\n\n\t\t\tmap.updateMatrix();\n\n\t\t}\n\n\t\tuniform.value.copy( map.matrix );\n\n\t}\n\n\tfunction refreshFogUniforms( uniforms, fog ) {\n\n\t\tfog.color.getRGB( uniforms.fogColor.value, getUnlitUniformColorSpace( renderer ) );\n\n\t\tif ( fog.isFog ) {\n\n\t\t\tuniforms.fogNear.value = fog.near;\n\t\t\tuniforms.fogFar.value = fog.far;\n\n\t\t} else if ( fog.isFogExp2 ) {\n\n\t\t\tuniforms.fogDensity.value = fog.density;\n\n\t\t}\n\n\t}\n\n\tfunction refreshMaterialUniforms( uniforms, material, pixelRatio, height, transmissionRenderTarget ) {\n\n\t\tif ( material.isMeshBasicMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshLambertMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshToonMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsToon( uniforms, material );\n\n\t\t} else if ( material.isMeshPhongMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsPhong( uniforms, material );\n\n\t\t} else if ( material.isMeshStandardMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsStandard( uniforms, material );\n\n\t\t\tif ( material.isMeshPhysicalMaterial ) {\n\n\t\t\t\trefreshUniformsPhysical( uniforms, material, transmissionRenderTarget );\n\n\t\t\t}\n\n\t\t} else if ( material.isMeshMatcapMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsMatcap( uniforms, material );\n\n\t\t} else if ( material.isMeshDepthMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshDistanceMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsDistance( uniforms, material );\n\n\t\t} else if ( material.isMeshNormalMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isLineBasicMaterial ) {\n\n\t\t\trefreshUniformsLine( uniforms, material );\n\n\t\t\tif ( material.isLineDashedMaterial ) {\n\n\t\t\t\trefreshUniformsDash( uniforms, material );\n\n\t\t\t}\n\n\t\t} else if ( material.isPointsMaterial ) {\n\n\t\t\trefreshUniformsPoints( uniforms, material, pixelRatio, height );\n\n\t\t} else if ( material.isSpriteMaterial ) {\n\n\t\t\trefreshUniformsSprites( uniforms, material );\n\n\t\t} else if ( material.isShadowMaterial ) {\n\n\t\t\tuniforms.color.value.copy( material.color );\n\t\t\tuniforms.opacity.value = material.opacity;\n\n\t\t} else if ( material.isShaderMaterial ) {\n\n\t\t\tmaterial.uniformsNeedUpdate = false; // #15581\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsCommon( uniforms, material ) {\n\n\t\tuniforms.opacity.value = material.opacity;\n\n\t\tif ( material.color ) {\n\n\t\t\tuniforms.diffuse.value.copy( material.color );\n\n\t\t}\n\n\t\tif ( material.emissive ) {\n\n\t\t\tuniforms.emissive.value.copy( material.emissive ).multiplyScalar( material.emissiveIntensity );\n\n\t\t}\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.bumpMap ) {\n\n\t\t\tuniforms.bumpMap.value = material.bumpMap;\n\n\t\t\trefreshTransformUniform( material.bumpMap, uniforms.bumpMapTransform );\n\n\t\t\tuniforms.bumpScale.value = material.bumpScale;\n\n\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\tuniforms.bumpScale.value *= - 1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.normalMap ) {\n\n\t\t\tuniforms.normalMap.value = material.normalMap;\n\n\t\t\trefreshTransformUniform( material.normalMap, uniforms.normalMapTransform );\n\n\t\t\tuniforms.normalScale.value.copy( material.normalScale );\n\n\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\tuniforms.normalScale.value.negate();\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.displacementMap ) {\n\n\t\t\tuniforms.displacementMap.value = material.displacementMap;\n\n\t\t\trefreshTransformUniform( material.displacementMap, uniforms.displacementMapTransform );\n\n\t\t\tuniforms.displacementScale.value = material.displacementScale;\n\t\t\tuniforms.displacementBias.value = material.displacementBias;\n\n\t\t}\n\n\t\tif ( material.emissiveMap ) {\n\n\t\t\tuniforms.emissiveMap.value = material.emissiveMap;\n\n\t\t\trefreshTransformUniform( material.emissiveMap, uniforms.emissiveMapTransform );\n\n\t\t}\n\n\t\tif ( material.specularMap ) {\n\n\t\t\tuniforms.specularMap.value = material.specularMap;\n\n\t\t\trefreshTransformUniform( material.specularMap, uniforms.specularMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t\tconst envMap = properties.get( material ).envMap;\n\n\t\tif ( envMap ) {\n\n\t\t\tuniforms.envMap.value = envMap;\n\n\t\t\tuniforms.flipEnvMap.value = ( envMap.isCubeTexture && envMap.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t\tuniforms.reflectivity.value = material.reflectivity;\n\t\t\tuniforms.ior.value = material.ior;\n\t\t\tuniforms.refractionRatio.value = material.refractionRatio;\n\n\t\t}\n\n\t\tif ( material.lightMap ) {\n\n\t\t\tuniforms.lightMap.value = material.lightMap;\n\n\t\t\t// artist-friendly light intensity scaling factor\n\t\t\tconst scaleFactor = ( renderer._useLegacyLights === true ) ? Math.PI : 1;\n\n\t\t\tuniforms.lightMapIntensity.value = material.lightMapIntensity * scaleFactor;\n\n\t\t\trefreshTransformUniform( material.lightMap, uniforms.lightMapTransform );\n\n\t\t}\n\n\t\tif ( material.aoMap ) {\n\n\t\t\tuniforms.aoMap.value = material.aoMap;\n\t\t\tuniforms.aoMapIntensity.value = material.aoMapIntensity;\n\n\t\t\trefreshTransformUniform( material.aoMap, uniforms.aoMapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsLine( uniforms, material ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsDash( uniforms, material ) {\n\n\t\tuniforms.dashSize.value = material.dashSize;\n\t\tuniforms.totalSize.value = material.dashSize + material.gapSize;\n\t\tuniforms.scale.value = material.scale;\n\n\t}\n\n\tfunction refreshUniformsPoints( uniforms, material, pixelRatio, height ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\t\tuniforms.size.value = material.size * pixelRatio;\n\t\tuniforms.scale.value = height * 0.5;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.uvTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsSprites( uniforms, material ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\t\tuniforms.rotation.value = material.rotation;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsPhong( uniforms, material ) {\n\n\t\tuniforms.specular.value.copy( material.specular );\n\t\tuniforms.shininess.value = Math.max( material.shininess, 1e-4 ); // to prevent pow( 0.0, 0.0 )\n\n\t}\n\n\tfunction refreshUniformsToon( uniforms, material ) {\n\n\t\tif ( material.gradientMap ) {\n\n\t\t\tuniforms.gradientMap.value = material.gradientMap;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsStandard( uniforms, material ) {\n\n\t\tuniforms.metalness.value = material.metalness;\n\n\t\tif ( material.metalnessMap ) {\n\n\t\t\tuniforms.metalnessMap.value = material.metalnessMap;\n\n\t\t\trefreshTransformUniform( material.metalnessMap, uniforms.metalnessMapTransform );\n\n\t\t}\n\n\t\tuniforms.roughness.value = material.roughness;\n\n\t\tif ( material.roughnessMap ) {\n\n\t\t\tuniforms.roughnessMap.value = material.roughnessMap;\n\n\t\t\trefreshTransformUniform( material.roughnessMap, uniforms.roughnessMapTransform );\n\n\t\t}\n\n\t\tconst envMap = properties.get( material ).envMap;\n\n\t\tif ( envMap ) {\n\n\t\t\t//uniforms.envMap.value = material.envMap; // part of uniforms common\n\t\t\tuniforms.envMapIntensity.value = material.envMapIntensity;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsPhysical( uniforms, material, transmissionRenderTarget ) {\n\n\t\tuniforms.ior.value = material.ior; // also part of uniforms common\n\n\t\tif ( material.sheen > 0 ) {\n\n\t\t\tuniforms.sheenColor.value.copy( material.sheenColor ).multiplyScalar( material.sheen );\n\n\t\t\tuniforms.sheenRoughness.value = material.sheenRoughness;\n\n\t\t\tif ( material.sheenColorMap ) {\n\n\t\t\t\tuniforms.sheenColorMap.value = material.sheenColorMap;\n\n\t\t\t\trefreshTransformUniform( material.sheenColorMap, uniforms.sheenColorMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.sheenRoughnessMap ) {\n\n\t\t\t\tuniforms.sheenRoughnessMap.value = material.sheenRoughnessMap;\n\n\t\t\t\trefreshTransformUniform( material.sheenRoughnessMap, uniforms.sheenRoughnessMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.clearcoat > 0 ) {\n\n\t\t\tuniforms.clearcoat.value = material.clearcoat;\n\t\t\tuniforms.clearcoatRoughness.value = material.clearcoatRoughness;\n\n\t\t\tif ( material.clearcoatMap ) {\n\n\t\t\t\tuniforms.clearcoatMap.value = material.clearcoatMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatMap, uniforms.clearcoatMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.clearcoatRoughnessMap ) {\n\n\t\t\t\tuniforms.clearcoatRoughnessMap.value = material.clearcoatRoughnessMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatRoughnessMap, uniforms.clearcoatRoughnessMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.clearcoatNormalMap ) {\n\n\t\t\t\tuniforms.clearcoatNormalMap.value = material.clearcoatNormalMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatNormalMap, uniforms.clearcoatNormalMapTransform );\n\n\t\t\t\tuniforms.clearcoatNormalScale.value.copy( material.clearcoatNormalScale );\n\n\t\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\t\tuniforms.clearcoatNormalScale.value.negate();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.iridescence > 0 ) {\n\n\t\t\tuniforms.iridescence.value = material.iridescence;\n\t\t\tuniforms.iridescenceIOR.value = material.iridescenceIOR;\n\t\t\tuniforms.iridescenceThicknessMinimum.value = material.iridescenceThicknessRange[ 0 ];\n\t\t\tuniforms.iridescenceThicknessMaximum.value = material.iridescenceThicknessRange[ 1 ];\n\n\t\t\tif ( material.iridescenceMap ) {\n\n\t\t\t\tuniforms.iridescenceMap.value = material.iridescenceMap;\n\n\t\t\t\trefreshTransformUniform( material.iridescenceMap, uniforms.iridescenceMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.iridescenceThicknessMap ) {\n\n\t\t\t\tuniforms.iridescenceThicknessMap.value = material.iridescenceThicknessMap;\n\n\t\t\t\trefreshTransformUniform( material.iridescenceThicknessMap, uniforms.iridescenceThicknessMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.transmission > 0 ) {\n\n\t\t\tuniforms.transmission.value = material.transmission;\n\t\t\tuniforms.transmissionSamplerMap.value = transmissionRenderTarget.texture;\n\t\t\tuniforms.transmissionSamplerSize.value.set( transmissionRenderTarget.width, transmissionRenderTarget.height );\n\n\t\t\tif ( material.transmissionMap ) {\n\n\t\t\t\tuniforms.transmissionMap.value = material.transmissionMap;\n\n\t\t\t\trefreshTransformUniform( material.transmissionMap, uniforms.transmissionMapTransform );\n\n\t\t\t}\n\n\t\t\tuniforms.thickness.value = material.thickness;\n\n\t\t\tif ( material.thicknessMap ) {\n\n\t\t\t\tuniforms.thicknessMap.value = material.thicknessMap;\n\n\t\t\t\trefreshTransformUniform( material.thicknessMap, uniforms.thicknessMapTransform );\n\n\t\t\t}\n\n\t\t\tuniforms.attenuationDistance.value = material.attenuationDistance;\n\t\t\tuniforms.attenuationColor.value.copy( material.attenuationColor );\n\n\t\t}\n\n\t\tif ( material.anisotropy > 0 ) {\n\n\t\t\tuniforms.anisotropyVector.value.set( material.anisotropy * Math.cos( material.anisotropyRotation ), material.anisotropy * Math.sin( material.anisotropyRotation ) );\n\n\t\t\tif ( material.anisotropyMap ) {\n\n\t\t\t\tuniforms.anisotropyMap.value = material.anisotropyMap;\n\n\t\t\t\trefreshTransformUniform( material.anisotropyMap, uniforms.anisotropyMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tuniforms.specularIntensity.value = material.specularIntensity;\n\t\tuniforms.specularColor.value.copy( material.specularColor );\n\n\t\tif ( material.specularColorMap ) {\n\n\t\t\tuniforms.specularColorMap.value = material.specularColorMap;\n\n\t\t\trefreshTransformUniform( material.specularColorMap, uniforms.specularColorMapTransform );\n\n\t\t}\n\n\t\tif ( material.specularIntensityMap ) {\n\n\t\t\tuniforms.specularIntensityMap.value = material.specularIntensityMap;\n\n\t\t\trefreshTransformUniform( material.specularIntensityMap, uniforms.specularIntensityMapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsMatcap( uniforms, material ) {\n\n\t\tif ( material.matcap ) {\n\n\t\t\tuniforms.matcap.value = material.matcap;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsDistance( uniforms, material ) {\n\n\t\tconst light = properties.get( material ).light;\n\n\t\tuniforms.referencePosition.value.setFromMatrixPosition( light.matrixWorld );\n\t\tuniforms.nearDistance.value = light.shadow.camera.near;\n\t\tuniforms.farDistance.value = light.shadow.camera.far;\n\n\t}\n\n\treturn {\n\t\trefreshFogUniforms: refreshFogUniforms,\n\t\trefreshMaterialUniforms: refreshMaterialUniforms\n\t};\n\n}\n\nfunction WebGLUniformsGroups( gl, info, capabilities, state ) {\n\n\tlet buffers = {};\n\tlet updateList = {};\n\tlet allocatedBindingPoints = [];\n\n\tconst maxBindingPoints = ( capabilities.isWebGL2 ) ? gl.getParameter( gl.MAX_UNIFORM_BUFFER_BINDINGS ) : 0; // binding points are global whereas block indices are per shader program\n\n\tfunction bind( uniformsGroup, program ) {\n\n\t\tconst webglProgram = program.program;\n\t\tstate.uniformBlockBinding( uniformsGroup, webglProgram );\n\n\t}\n\n\tfunction update( uniformsGroup, program ) {\n\n\t\tlet buffer = buffers[ uniformsGroup.id ];\n\n\t\tif ( buffer === undefined ) {\n\n\t\t\tprepareUniformsGroup( uniformsGroup );\n\n\t\t\tbuffer = createBuffer( uniformsGroup );\n\t\t\tbuffers[ uniformsGroup.id ] = buffer;\n\n\t\t\tuniformsGroup.addEventListener( 'dispose', onUniformsGroupsDispose );\n\n\t\t}\n\n\t\t// ensure to update the binding points/block indices mapping for this program\n\n\t\tconst webglProgram = program.program;\n\t\tstate.updateUBOMapping( uniformsGroup, webglProgram );\n\n\t\t// update UBO once per frame\n\n\t\tconst frame = info.render.frame;\n\n\t\tif ( updateList[ uniformsGroup.id ] !== frame ) {\n\n\t\t\tupdateBufferData( uniformsGroup );\n\n\t\t\tupdateList[ uniformsGroup.id ] = frame;\n\n\t\t}\n\n\t}\n\n\tfunction createBuffer( uniformsGroup ) {\n\n\t\t// the setup of an UBO is independent of a particular shader program but global\n\n\t\tconst bindingPointIndex = allocateBindingPointIndex();\n\t\tuniformsGroup.__bindingPointIndex = bindingPointIndex;\n\n\t\tconst buffer = gl.createBuffer();\n\t\tconst size = uniformsGroup.__size;\n\t\tconst usage = uniformsGroup.usage;\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, buffer );\n\t\tgl.bufferData( gl.UNIFORM_BUFFER, size, usage );\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, null );\n\t\tgl.bindBufferBase( gl.UNIFORM_BUFFER, bindingPointIndex, buffer );\n\n\t\treturn buffer;\n\n\t}\n\n\tfunction allocateBindingPointIndex() {\n\n\t\tfor ( let i = 0; i < maxBindingPoints; i ++ ) {\n\n\t\t\tif ( allocatedBindingPoints.indexOf( i ) === - 1 ) {\n\n\t\t\t\tallocatedBindingPoints.push( i );\n\t\t\t\treturn i;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconsole.error( 'THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached.' );\n\n\t\treturn 0;\n\n\t}\n\n\tfunction updateBufferData( uniformsGroup ) {\n\n\t\tconst buffer = buffers[ uniformsGroup.id ];\n\t\tconst uniforms = uniformsGroup.uniforms;\n\t\tconst cache = uniformsGroup.__cache;\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, buffer );\n\n\t\tfor ( let i = 0, il = uniforms.length; i < il; i ++ ) {\n\n\t\t\tconst uniformArray = Array.isArray( uniforms[ i ] ) ? uniforms[ i ] : [ uniforms[ i ] ];\n\n\t\t\tfor ( let j = 0, jl = uniformArray.length; j < jl; j ++ ) {\n\n\t\t\t\tconst uniform = uniformArray[ j ];\n\n\t\t\t\tif ( hasUniformChanged( uniform, i, j, cache ) === true ) {\n\n\t\t\t\t\tconst offset = uniform.__offset;\n\n\t\t\t\t\tconst values = Array.isArray( uniform.value ) ? uniform.value : [ uniform.value ];\n\n\t\t\t\t\tlet arrayOffset = 0;\n\n\t\t\t\t\tfor ( let k = 0; k < values.length; k ++ ) {\n\n\t\t\t\t\t\tconst value = values[ k ];\n\n\t\t\t\t\t\tconst info = getUniformSize( value );\n\n\t\t\t\t\t\t// TODO add integer and struct support\n\t\t\t\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\t\t\t\tuniform.__data[ 0 ] = value;\n\t\t\t\t\t\t\tgl.bufferSubData( gl.UNIFORM_BUFFER, offset + arrayOffset, uniform.__data );\n\n\t\t\t\t\t\t} else if ( value.isMatrix3 ) {\n\n\t\t\t\t\t\t\t// manually converting 3x3 to 3x4\n\n\t\t\t\t\t\t\tuniform.__data[ 0 ] = value.elements[ 0 ];\n\t\t\t\t\t\t\tuniform.__data[ 1 ] = value.elements[ 1 ];\n\t\t\t\t\t\t\tuniform.__data[ 2 ] = value.elements[ 2 ];\n\t\t\t\t\t\t\tuniform.__data[ 3 ] = 0;\n\t\t\t\t\t\t\tuniform.__data[ 4 ] = value.elements[ 3 ];\n\t\t\t\t\t\t\tuniform.__data[ 5 ] = value.elements[ 4 ];\n\t\t\t\t\t\t\tuniform.__data[ 6 ] = value.elements[ 5 ];\n\t\t\t\t\t\t\tuniform.__data[ 7 ] = 0;\n\t\t\t\t\t\t\tuniform.__data[ 8 ] = value.elements[ 6 ];\n\t\t\t\t\t\t\tuniform.__data[ 9 ] = value.elements[ 7 ];\n\t\t\t\t\t\t\tuniform.__data[ 10 ] = value.elements[ 8 ];\n\t\t\t\t\t\t\tuniform.__data[ 11 ] = 0;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tvalue.toArray( uniform.__data, arrayOffset );\n\n\t\t\t\t\t\t\tarrayOffset += info.storage / Float32Array.BYTES_PER_ELEMENT;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tgl.bufferSubData( gl.UNIFORM_BUFFER, offset, uniform.__data );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, null );\n\n\t}\n\n\tfunction hasUniformChanged( uniform, index, indexArray, cache ) {\n\n\t\tconst value = uniform.value;\n\t\tconst indexString = index + '_' + indexArray;\n\n\t\tif ( cache[ indexString ] === undefined ) {\n\n\t\t\t// cache entry does not exist so far\n\n\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\tcache[ indexString ] = value;\n\n\t\t\t} else {\n\n\t\t\t\tcache[ indexString ] = value.clone();\n\n\t\t\t}\n\n\t\t\treturn true;\n\n\t\t} else {\n\n\t\t\tconst cachedObject = cache[ indexString ];\n\n\t\t\t// compare current value with cached entry\n\n\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\tif ( cachedObject !== value ) {\n\n\t\t\t\t\tcache[ indexString ] = value;\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( cachedObject.equals( value ) === false ) {\n\n\t\t\t\t\tcachedObject.copy( value );\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tfunction prepareUniformsGroup( uniformsGroup ) {\n\n\t\t// determine total buffer size according to the STD140 layout\n\t\t// Hint: STD140 is the only supported layout in WebGL 2\n\n\t\tconst uniforms = uniformsGroup.uniforms;\n\n\t\tlet offset = 0; // global buffer offset in bytes\n\t\tconst chunkSize = 16; // size of a chunk in bytes\n\n\t\tfor ( let i = 0, l = uniforms.length; i < l; i ++ ) {\n\n\t\t\tconst uniformArray = Array.isArray( uniforms[ i ] ) ? uniforms[ i ] : [ uniforms[ i ] ];\n\n\t\t\tfor ( let j = 0, jl = uniformArray.length; j < jl; j ++ ) {\n\n\t\t\t\tconst uniform = uniformArray[ j ];\n\n\t\t\t\tconst values = Array.isArray( uniform.value ) ? uniform.value : [ uniform.value ];\n\n\t\t\t\tfor ( let k = 0, kl = values.length; k < kl; k ++ ) {\n\n\t\t\t\t\tconst value = values[ k ];\n\n\t\t\t\t\tconst info = getUniformSize( value );\n\n\t\t\t\t\t// Calculate the chunk offset\n\t\t\t\t\tconst chunkOffsetUniform = offset % chunkSize;\n\n\t\t\t\t\t// Check for chunk overflow\n\t\t\t\t\tif ( chunkOffsetUniform !== 0 && ( chunkSize - chunkOffsetUniform ) < info.boundary ) {\n\n\t\t\t\t\t\t// Add padding and adjust offset\n\t\t\t\t\t\toffset += ( chunkSize - chunkOffsetUniform );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the following two properties will be used for partial buffer updates\n\n\t\t\t\t\tuniform.__data = new Float32Array( info.storage / Float32Array.BYTES_PER_ELEMENT );\n\t\t\t\t\tuniform.__offset = offset;\n\n\n\t\t\t\t\t// Update the global offset\n\t\t\t\t\toffset += info.storage;\n\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ensure correct final padding\n\n\t\tconst chunkOffset = offset % chunkSize;\n\n\t\tif ( chunkOffset > 0 ) offset += ( chunkSize - chunkOffset );\n\n\t\t//\n\n\t\tuniformsGroup.__size = offset;\n\t\tuniformsGroup.__cache = {};\n\n\t\treturn this;\n\n\t}\n\n\tfunction getUniformSize( value ) {\n\n\t\tconst info = {\n\t\t\tboundary: 0, // bytes\n\t\t\tstorage: 0 // bytes\n\t\t};\n\n\t\t// determine sizes according to STD140\n\n\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t// float/int/bool\n\n\t\t\tinfo.boundary = 4;\n\t\t\tinfo.storage = 4;\n\n\t\t} else if ( value.isVector2 ) {\n\n\t\t\t// vec2\n\n\t\t\tinfo.boundary = 8;\n\t\t\tinfo.storage = 8;\n\n\t\t} else if ( value.isVector3 || value.isColor ) {\n\n\t\t\t// vec3\n\n\t\t\tinfo.boundary = 16;\n\t\t\tinfo.storage = 12; // evil: vec3 must start on a 16-byte boundary but it only consumes 12 bytes\n\n\t\t} else if ( value.isVector4 ) {\n\n\t\t\t// vec4\n\n\t\t\tinfo.boundary = 16;\n\t\t\tinfo.storage = 16;\n\n\t\t} else if ( value.isMatrix3 ) {\n\n\t\t\t// mat3 (in STD140 a 3x3 matrix is represented as 3x4)\n\n\t\t\tinfo.boundary = 48;\n\t\t\tinfo.storage = 48;\n\n\t\t} else if ( value.isMatrix4 ) {\n\n\t\t\t// mat4\n\n\t\t\tinfo.boundary = 64;\n\t\t\tinfo.storage = 64;\n\n\t\t} else if ( value.isTexture ) {\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group.' );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Unsupported uniform value type.', value );\n\n\t\t}\n\n\t\treturn info;\n\n\t}\n\n\tfunction onUniformsGroupsDispose( event ) {\n\n\t\tconst uniformsGroup = event.target;\n\n\t\tuniformsGroup.removeEventListener( 'dispose', onUniformsGroupsDispose );\n\n\t\tconst index = allocatedBindingPoints.indexOf( uniformsGroup.__bindingPointIndex );\n\t\tallocatedBindingPoints.splice( index, 1 );\n\n\t\tgl.deleteBuffer( buffers[ uniformsGroup.id ] );\n\n\t\tdelete buffers[ uniformsGroup.id ];\n\t\tdelete updateList[ uniformsGroup.id ];\n\n\t}\n\n\tfunction dispose() {\n\n\t\tfor ( const id in buffers ) {\n\n\t\t\tgl.deleteBuffer( buffers[ id ] );\n\n\t\t}\n\n\t\tallocatedBindingPoints = [];\n\t\tbuffers = {};\n\t\tupdateList = {};\n\n\t}\n\n\treturn {\n\n\t\tbind: bind,\n\t\tupdate: update,\n\n\t\tdispose: dispose\n\n\t};\n\n}\n\nclass WebGLRenderer {\n\n\tconstructor( parameters = {} ) {\n\n\t\tconst {\n\t\t\tcanvas = createCanvasElement(),\n\t\t\tcontext = null,\n\t\t\tdepth = true,\n\t\t\tstencil = true,\n\t\t\talpha = false,\n\t\t\tantialias = false,\n\t\t\tpremultipliedAlpha = true,\n\t\t\tpreserveDrawingBuffer = false,\n\t\t\tpowerPreference = 'default',\n\t\t\tfailIfMajorPerformanceCaveat = false,\n\t\t} = parameters;\n\n\t\tthis.isWebGLRenderer = true;\n\n\t\tlet _alpha;\n\n\t\tif ( context !== null ) {\n\n\t\t\t_alpha = context.getContextAttributes().alpha;\n\n\t\t} else {\n\n\t\t\t_alpha = alpha;\n\n\t\t}\n\n\t\tconst uintClearColor = new Uint32Array( 4 );\n\t\tconst intClearColor = new Int32Array( 4 );\n\n\t\tlet currentRenderList = null;\n\t\tlet currentRenderState = null;\n\n\t\t// render() can be called from within a callback triggered by another render.\n\t\t// We track this so that the nested render call gets its list and state isolated from the parent render call.\n\n\t\tconst renderListStack = [];\n\t\tconst renderStateStack = [];\n\n\t\t// public properties\n\n\t\tthis.domElement = canvas;\n\n\t\t// Debug configuration container\n\t\tthis.debug = {\n\n\t\t\t/**\n\t\t\t * Enables error checking and reporting when shader programs are being compiled\n\t\t\t * @type {boolean}\n\t\t\t */\n\t\t\tcheckShaderErrors: true,\n\t\t\t/**\n\t\t\t * Callback for custom error reporting.\n\t\t\t * @type {?Function}\n\t\t\t */\n\t\t\tonShaderError: null\n\t\t};\n\n\t\t// clearing\n\n\t\tthis.autoClear = true;\n\t\tthis.autoClearColor = true;\n\t\tthis.autoClearDepth = true;\n\t\tthis.autoClearStencil = true;\n\n\t\t// scene graph\n\n\t\tthis.sortObjects = true;\n\n\t\t// user-defined clipping\n\n\t\tthis.clippingPlanes = [];\n\t\tthis.localClippingEnabled = false;\n\n\t\t// physically based shading\n\n\t\tthis._outputColorSpace = SRGBColorSpace;\n\n\t\t// physical lights\n\n\t\tthis._useLegacyLights = false;\n\n\t\t// tone mapping\n\n\t\tthis.toneMapping = NoToneMapping;\n\t\tthis.toneMappingExposure = 1.0;\n\n\t\t// internal properties\n\n\t\tconst _this = this;\n\n\t\tlet _isContextLost = false;\n\n\t\t// internal state cache\n\n\t\tlet _currentActiveCubeFace = 0;\n\t\tlet _currentActiveMipmapLevel = 0;\n\t\tlet _currentRenderTarget = null;\n\t\tlet _currentMaterialId = - 1;\n\n\t\tlet _currentCamera = null;\n\n\t\tconst _currentViewport = new Vector4();\n\t\tconst _currentScissor = new Vector4();\n\t\tlet _currentScissorTest = null;\n\n\t\tconst _currentClearColor = new Color( 0x000000 );\n\t\tlet _currentClearAlpha = 0;\n\n\t\t//\n\n\t\tlet _width = canvas.width;\n\t\tlet _height = canvas.height;\n\n\t\tlet _pixelRatio = 1;\n\t\tlet _opaqueSort = null;\n\t\tlet _transparentSort = null;\n\n\t\tconst _viewport = new Vector4( 0, 0, _width, _height );\n\t\tconst _scissor = new Vector4( 0, 0, _width, _height );\n\t\tlet _scissorTest = false;\n\n\t\t// frustum\n\n\t\tconst _frustum = new Frustum();\n\n\t\t// clipping\n\n\t\tlet _clippingEnabled = false;\n\t\tlet _localClippingEnabled = false;\n\n\t\t// transmission\n\n\t\tlet _transmissionRenderTarget = null;\n\n\t\t// camera matrices cache\n\n\t\tconst _projScreenMatrix = new Matrix4();\n\n\t\tconst _vector2 = new Vector2();\n\t\tconst _vector3 = new Vector3();\n\n\t\tconst _emptyScene = { background: null, fog: null, environment: null, overrideMaterial: null, isScene: true };\n\n\t\tfunction getTargetPixelRatio() {\n\n\t\t\treturn _currentRenderTarget === null ? _pixelRatio : 1;\n\n\t\t}\n\n\t\t// initialize\n\n\t\tlet _gl = context;\n\n\t\tfunction getContext( contextNames, contextAttributes ) {\n\n\t\t\tfor ( let i = 0; i < contextNames.length; i ++ ) {\n\n\t\t\t\tconst contextName = contextNames[ i ];\n\t\t\t\tconst context = canvas.getContext( contextName, contextAttributes );\n\t\t\t\tif ( context !== null ) return context;\n\n\t\t\t}\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\ttry {\n\n\t\t\tconst contextAttributes = {\n\t\t\t\talpha: true,\n\t\t\t\tdepth,\n\t\t\t\tstencil,\n\t\t\t\tantialias,\n\t\t\t\tpremultipliedAlpha,\n\t\t\t\tpreserveDrawingBuffer,\n\t\t\t\tpowerPreference,\n\t\t\t\tfailIfMajorPerformanceCaveat,\n\t\t\t};\n\n\t\t\t// OffscreenCanvas does not have setAttribute, see #22811\n\t\t\tif ( 'setAttribute' in canvas ) canvas.setAttribute( 'data-engine', `three.js r${REVISION}` );\n\n\t\t\t// event listeners must be registered before WebGL context is created, see #12753\n\t\t\tcanvas.addEventListener( 'webglcontextlost', onContextLost, false );\n\t\t\tcanvas.addEventListener( 'webglcontextrestored', onContextRestore, false );\n\t\t\tcanvas.addEventListener( 'webglcontextcreationerror', onContextCreationError, false );\n\n\t\t\tif ( _gl === null ) {\n\n\t\t\t\tconst contextNames = [ 'webgl2', 'webgl', 'experimental-webgl' ];\n\n\t\t\t\tif ( _this.isWebGL1Renderer === true ) {\n\n\t\t\t\t\tcontextNames.shift();\n\n\t\t\t\t}\n\n\t\t\t\t_gl = getContext( contextNames, contextAttributes );\n\n\t\t\t\tif ( _gl === null ) {\n\n\t\t\t\t\tif ( getContext( contextNames ) ) {\n\n\t\t\t\t\t\tthrow new Error( 'Error creating WebGL context with your selected attributes.' );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthrow new Error( 'Error creating WebGL context.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( typeof WebGLRenderingContext !== 'undefined' && _gl instanceof WebGLRenderingContext ) { // @deprecated, r153\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163.' );\n\n\t\t\t}\n\n\t\t\t// Some experimental-webgl implementations do not have getShaderPrecisionFormat\n\n\t\t\tif ( _gl.getShaderPrecisionFormat === undefined ) {\n\n\t\t\t\t_gl.getShaderPrecisionFormat = function () {\n\n\t\t\t\t\treturn { 'rangeMin': 1, 'rangeMax': 1, 'precision': 1 };\n\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLRenderer: ' + error.message );\n\t\t\tthrow error;\n\n\t\t}\n\n\t\tlet extensions, capabilities, state, info;\n\t\tlet properties, textures, cubemaps, cubeuvmaps, attributes, geometries, objects;\n\t\tlet programCache, materials, renderLists, renderStates, clipping, shadowMap;\n\n\t\tlet background, morphtargets, bufferRenderer, indexedBufferRenderer;\n\n\t\tlet utils, bindingStates, uniformsGroups;\n\n\t\tfunction initGLContext() {\n\n\t\t\textensions = new WebGLExtensions( _gl );\n\n\t\t\tcapabilities = new WebGLCapabilities( _gl, extensions, parameters );\n\n\t\t\textensions.init( capabilities );\n\n\t\t\tutils = new WebGLUtils( _gl, extensions, capabilities );\n\n\t\t\tstate = new WebGLState( _gl, extensions, capabilities );\n\n\t\t\tinfo = new WebGLInfo( _gl );\n\t\t\tproperties = new WebGLProperties();\n\t\t\ttextures = new WebGLTextures( _gl, extensions, state, properties, capabilities, utils, info );\n\t\t\tcubemaps = new WebGLCubeMaps( _this );\n\t\t\tcubeuvmaps = new WebGLCubeUVMaps( _this );\n\t\t\tattributes = new WebGLAttributes( _gl, capabilities );\n\t\t\tbindingStates = new WebGLBindingStates( _gl, extensions, attributes, capabilities );\n\t\t\tgeometries = new WebGLGeometries( _gl, attributes, info, bindingStates );\n\t\t\tobjects = new WebGLObjects( _gl, geometries, attributes, info );\n\t\t\tmorphtargets = new WebGLMorphtargets( _gl, capabilities, textures );\n\t\t\tclipping = new WebGLClipping( properties );\n\t\t\tprogramCache = new WebGLPrograms( _this, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping );\n\t\t\tmaterials = new WebGLMaterials( _this, properties );\n\t\t\trenderLists = new WebGLRenderLists();\n\t\t\trenderStates = new WebGLRenderStates( extensions, capabilities );\n\t\t\tbackground = new WebGLBackground( _this, cubemaps, cubeuvmaps, state, objects, _alpha, premultipliedAlpha );\n\t\t\tshadowMap = new WebGLShadowMap( _this, objects, capabilities );\n\t\t\tuniformsGroups = new WebGLUniformsGroups( _gl, info, capabilities, state );\n\n\t\t\tbufferRenderer = new WebGLBufferRenderer( _gl, extensions, info, capabilities );\n\t\t\tindexedBufferRenderer = new WebGLIndexedBufferRenderer( _gl, extensions, info, capabilities );\n\n\t\t\tinfo.programs = programCache.programs;\n\n\t\t\t_this.capabilities = capabilities;\n\t\t\t_this.extensions = extensions;\n\t\t\t_this.properties = properties;\n\t\t\t_this.renderLists = renderLists;\n\t\t\t_this.shadowMap = shadowMap;\n\t\t\t_this.state = state;\n\t\t\t_this.info = info;\n\n\t\t}\n\n\t\tinitGLContext();\n\n\t\t// xr\n\n\t\tconst xr = new WebXRManager( _this, _gl );\n\n\t\tthis.xr = xr;\n\n\t\t// API\n\n\t\tthis.getContext = function () {\n\n\t\t\treturn _gl;\n\n\t\t};\n\n\t\tthis.getContextAttributes = function () {\n\n\t\t\treturn _gl.getContextAttributes();\n\n\t\t};\n\n\t\tthis.forceContextLoss = function () {\n\n\t\t\tconst extension = extensions.get( 'WEBGL_lose_context' );\n\t\t\tif ( extension ) extension.loseContext();\n\n\t\t};\n\n\t\tthis.forceContextRestore = function () {\n\n\t\t\tconst extension = extensions.get( 'WEBGL_lose_context' );\n\t\t\tif ( extension ) extension.restoreContext();\n\n\t\t};\n\n\t\tthis.getPixelRatio = function () {\n\n\t\t\treturn _pixelRatio;\n\n\t\t};\n\n\t\tthis.setPixelRatio = function ( value ) {\n\n\t\t\tif ( value === undefined ) return;\n\n\t\t\t_pixelRatio = value;\n\n\t\t\tthis.setSize( _width, _height, false );\n\n\t\t};\n\n\t\tthis.getSize = function ( target ) {\n\n\t\t\treturn target.set( _width, _height );\n\n\t\t};\n\n\t\tthis.setSize = function ( width, height, updateStyle = true ) {\n\n\t\t\tif ( xr.isPresenting ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Can\\'t change size while VR device is presenting.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t_width = width;\n\t\t\t_height = height;\n\n\t\t\tcanvas.width = Math.floor( width * _pixelRatio );\n\t\t\tcanvas.height = Math.floor( height * _pixelRatio );\n\n\t\t\tif ( updateStyle === true ) {\n\n\t\t\t\tcanvas.style.width = width + 'px';\n\t\t\t\tcanvas.style.height = height + 'px';\n\n\t\t\t}\n\n\t\t\tthis.setViewport( 0, 0, width, height );\n\n\t\t};\n\n\t\tthis.getDrawingBufferSize = function ( target ) {\n\n\t\t\treturn target.set( _width * _pixelRatio, _height * _pixelRatio ).floor();\n\n\t\t};\n\n\t\tthis.setDrawingBufferSize = function ( width, height, pixelRatio ) {\n\n\t\t\t_width = width;\n\t\t\t_height = height;\n\n\t\t\t_pixelRatio = pixelRatio;\n\n\t\t\tcanvas.width = Math.floor( width * pixelRatio );\n\t\t\tcanvas.height = Math.floor( height * pixelRatio );\n\n\t\t\tthis.setViewport( 0, 0, width, height );\n\n\t\t};\n\n\t\tthis.getCurrentViewport = function ( target ) {\n\n\t\t\treturn target.copy( _currentViewport );\n\n\t\t};\n\n\t\tthis.getViewport = function ( target ) {\n\n\t\t\treturn target.copy( _viewport );\n\n\t\t};\n\n\t\tthis.setViewport = function ( x, y, width, height ) {\n\n\t\t\tif ( x.isVector4 ) {\n\n\t\t\t\t_viewport.set( x.x, x.y, x.z, x.w );\n\n\t\t\t} else {\n\n\t\t\t\t_viewport.set( x, y, width, height );\n\n\t\t\t}\n\n\t\t\tstate.viewport( _currentViewport.copy( _viewport ).multiplyScalar( _pixelRatio ).floor() );\n\n\t\t};\n\n\t\tthis.getScissor = function ( target ) {\n\n\t\t\treturn target.copy( _scissor );\n\n\t\t};\n\n\t\tthis.setScissor = function ( x, y, width, height ) {\n\n\t\t\tif ( x.isVector4 ) {\n\n\t\t\t\t_scissor.set( x.x, x.y, x.z, x.w );\n\n\t\t\t} else {\n\n\t\t\t\t_scissor.set( x, y, width, height );\n\n\t\t\t}\n\n\t\t\tstate.scissor( _currentScissor.copy( _scissor ).multiplyScalar( _pixelRatio ).floor() );\n\n\t\t};\n\n\t\tthis.getScissorTest = function () {\n\n\t\t\treturn _scissorTest;\n\n\t\t};\n\n\t\tthis.setScissorTest = function ( boolean ) {\n\n\t\t\tstate.setScissorTest( _scissorTest = boolean );\n\n\t\t};\n\n\t\tthis.setOpaqueSort = function ( method ) {\n\n\t\t\t_opaqueSort = method;\n\n\t\t};\n\n\t\tthis.setTransparentSort = function ( method ) {\n\n\t\t\t_transparentSort = method;\n\n\t\t};\n\n\t\t// Clearing\n\n\t\tthis.getClearColor = function ( target ) {\n\n\t\t\treturn target.copy( background.getClearColor() );\n\n\t\t};\n\n\t\tthis.setClearColor = function () {\n\n\t\t\tbackground.setClearColor.apply( background, arguments );\n\n\t\t};\n\n\t\tthis.getClearAlpha = function () {\n\n\t\t\treturn background.getClearAlpha();\n\n\t\t};\n\n\t\tthis.setClearAlpha = function () {\n\n\t\t\tbackground.setClearAlpha.apply( background, arguments );\n\n\t\t};\n\n\t\tthis.clear = function ( color = true, depth = true, stencil = true ) {\n\n\t\t\tlet bits = 0;\n\n\t\t\tif ( color ) {\n\n\t\t\t\t// check if we're trying to clear an integer target\n\t\t\t\tlet isIntegerFormat = false;\n\t\t\t\tif ( _currentRenderTarget !== null ) {\n\n\t\t\t\t\tconst targetFormat = _currentRenderTarget.texture.format;\n\t\t\t\t\tisIntegerFormat = targetFormat === RGBAIntegerFormat ||\n\t\t\t\t\t\ttargetFormat === RGIntegerFormat ||\n\t\t\t\t\t\ttargetFormat === RedIntegerFormat;\n\n\t\t\t\t}\n\n\t\t\t\t// use the appropriate clear functions to clear the target if it's a signed\n\t\t\t\t// or unsigned integer target\n\t\t\t\tif ( isIntegerFormat ) {\n\n\t\t\t\t\tconst targetType = _currentRenderTarget.texture.type;\n\t\t\t\t\tconst isUnsignedType = targetType === UnsignedByteType ||\n\t\t\t\t\t\ttargetType === UnsignedIntType ||\n\t\t\t\t\t\ttargetType === UnsignedShortType ||\n\t\t\t\t\t\ttargetType === UnsignedInt248Type ||\n\t\t\t\t\t\ttargetType === UnsignedShort4444Type ||\n\t\t\t\t\t\ttargetType === UnsignedShort5551Type;\n\n\t\t\t\t\tconst clearColor = background.getClearColor();\n\t\t\t\t\tconst a = background.getClearAlpha();\n\t\t\t\t\tconst r = clearColor.r;\n\t\t\t\t\tconst g = clearColor.g;\n\t\t\t\t\tconst b = clearColor.b;\n\n\t\t\t\t\tif ( isUnsignedType ) {\n\n\t\t\t\t\t\tuintClearColor[ 0 ] = r;\n\t\t\t\t\t\tuintClearColor[ 1 ] = g;\n\t\t\t\t\t\tuintClearColor[ 2 ] = b;\n\t\t\t\t\t\tuintClearColor[ 3 ] = a;\n\t\t\t\t\t\t_gl.clearBufferuiv( _gl.COLOR, 0, uintClearColor );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tintClearColor[ 0 ] = r;\n\t\t\t\t\t\tintClearColor[ 1 ] = g;\n\t\t\t\t\t\tintClearColor[ 2 ] = b;\n\t\t\t\t\t\tintClearColor[ 3 ] = a;\n\t\t\t\t\t\t_gl.clearBufferiv( _gl.COLOR, 0, intClearColor );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbits |= _gl.COLOR_BUFFER_BIT;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( depth ) bits |= _gl.DEPTH_BUFFER_BIT;\n\t\t\tif ( stencil ) {\n\n\t\t\t\tbits |= _gl.STENCIL_BUFFER_BIT;\n\t\t\t\tthis.state.buffers.stencil.setMask( 0xffffffff );\n\n\t\t\t}\n\n\t\t\t_gl.clear( bits );\n\n\t\t};\n\n\t\tthis.clearColor = function () {\n\n\t\t\tthis.clear( true, false, false );\n\n\t\t};\n\n\t\tthis.clearDepth = function () {\n\n\t\t\tthis.clear( false, true, false );\n\n\t\t};\n\n\t\tthis.clearStencil = function () {\n\n\t\t\tthis.clear( false, false, true );\n\n\t\t};\n\n\t\t//\n\n\t\tthis.dispose = function () {\n\n\t\t\tcanvas.removeEventListener( 'webglcontextlost', onContextLost, false );\n\t\t\tcanvas.removeEventListener( 'webglcontextrestored', onContextRestore, false );\n\t\t\tcanvas.removeEventListener( 'webglcontextcreationerror', onContextCreationError, false );\n\n\t\t\trenderLists.dispose();\n\t\t\trenderStates.dispose();\n\t\t\tproperties.dispose();\n\t\t\tcubemaps.dispose();\n\t\t\tcubeuvmaps.dispose();\n\t\t\tobjects.dispose();\n\t\t\tbindingStates.dispose();\n\t\t\tuniformsGroups.dispose();\n\t\t\tprogramCache.dispose();\n\n\t\t\txr.dispose();\n\n\t\t\txr.removeEventListener( 'sessionstart', onXRSessionStart );\n\t\t\txr.removeEventListener( 'sessionend', onXRSessionEnd );\n\n\t\t\tif ( _transmissionRenderTarget ) {\n\n\t\t\t\t_transmissionRenderTarget.dispose();\n\t\t\t\t_transmissionRenderTarget = null;\n\n\t\t\t}\n\n\t\t\tanimation.stop();\n\n\t\t};\n\n\t\t// Events\n\n\t\tfunction onContextLost( event ) {\n\n\t\t\tevent.preventDefault();\n\n\t\t\tconsole.log( 'THREE.WebGLRenderer: Context Lost.' );\n\n\t\t\t_isContextLost = true;\n\n\t\t}\n\n\t\tfunction onContextRestore( /* event */ ) {\n\n\t\t\tconsole.log( 'THREE.WebGLRenderer: Context Restored.' );\n\n\t\t\t_isContextLost = false;\n\n\t\t\tconst infoAutoReset = info.autoReset;\n\t\t\tconst shadowMapEnabled = shadowMap.enabled;\n\t\t\tconst shadowMapAutoUpdate = shadowMap.autoUpdate;\n\t\t\tconst shadowMapNeedsUpdate = shadowMap.needsUpdate;\n\t\t\tconst shadowMapType = shadowMap.type;\n\n\t\t\tinitGLContext();\n\n\t\t\tinfo.autoReset = infoAutoReset;\n\t\t\tshadowMap.enabled = shadowMapEnabled;\n\t\t\tshadowMap.autoUpdate = shadowMapAutoUpdate;\n\t\t\tshadowMap.needsUpdate = shadowMapNeedsUpdate;\n\t\t\tshadowMap.type = shadowMapType;\n\n\t\t}\n\n\t\tfunction onContextCreationError( event ) {\n\n\t\t\tconsole.error( 'THREE.WebGLRenderer: A WebGL context could not be created. Reason: ', event.statusMessage );\n\n\t\t}\n\n\t\tfunction onMaterialDispose( event ) {\n\n\t\t\tconst material = event.target;\n\n\t\t\tmaterial.removeEventListener( 'dispose', onMaterialDispose );\n\n\t\t\tdeallocateMaterial( material );\n\n\t\t}\n\n\t\t// Buffer deallocation\n\n\t\tfunction deallocateMaterial( material ) {\n\n\t\t\treleaseMaterialProgramReferences( material );\n\n\t\t\tproperties.remove( material );\n\n\t\t}\n\n\n\t\tfunction releaseMaterialProgramReferences( material ) {\n\n\t\t\tconst programs = properties.get( material ).programs;\n\n\t\t\tif ( programs !== undefined ) {\n\n\t\t\t\tprograms.forEach( function ( program ) {\n\n\t\t\t\t\tprogramCache.releaseProgram( program );\n\n\t\t\t\t} );\n\n\t\t\t\tif ( material.isShaderMaterial ) {\n\n\t\t\t\t\tprogramCache.releaseShaderCache( material );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Buffer rendering\n\n\t\tthis.renderBufferDirect = function ( camera, scene, geometry, material, object, group ) {\n\n\t\t\tif ( scene === null ) scene = _emptyScene; // renderBufferDirect second parameter used to be fog (could be null)\n\n\t\t\tconst frontFaceCW = ( object.isMesh && object.matrixWorld.determinant() < 0 );\n\n\t\t\tconst program = setProgram( camera, scene, geometry, material, object );\n\n\t\t\tstate.setMaterial( material, frontFaceCW );\n\n\t\t\t//\n\n\t\t\tlet index = geometry.index;\n\t\t\tlet rangeFactor = 1;\n\n\t\t\tif ( material.wireframe === true ) {\n\n\t\t\t\tindex = geometries.getWireframeAttribute( geometry );\n\n\t\t\t\tif ( index === undefined ) return;\n\n\t\t\t\trangeFactor = 2;\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tconst drawRange = geometry.drawRange;\n\t\t\tconst position = geometry.attributes.position;\n\n\t\t\tlet drawStart = drawRange.start * rangeFactor;\n\t\t\tlet drawEnd = ( drawRange.start + drawRange.count ) * rangeFactor;\n\n\t\t\tif ( group !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, group.start * rangeFactor );\n\t\t\t\tdrawEnd = Math.min( drawEnd, ( group.start + group.count ) * rangeFactor );\n\n\t\t\t}\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, 0 );\n\t\t\t\tdrawEnd = Math.min( drawEnd, index.count );\n\n\t\t\t} else if ( position !== undefined && position !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, 0 );\n\t\t\t\tdrawEnd = Math.min( drawEnd, position.count );\n\n\t\t\t}\n\n\t\t\tconst drawCount = drawEnd - drawStart;\n\n\t\t\tif ( drawCount < 0 || drawCount === Infinity ) return;\n\n\t\t\t//\n\n\t\t\tbindingStates.setup( object, material, program, geometry, index );\n\n\t\t\tlet attribute;\n\t\t\tlet renderer = bufferRenderer;\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tattribute = attributes.get( index );\n\n\t\t\t\trenderer = indexedBufferRenderer;\n\t\t\t\trenderer.setIndex( attribute );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( object.isMesh ) {\n\n\t\t\t\tif ( material.wireframe === true ) {\n\n\t\t\t\t\tstate.setLineWidth( material.wireframeLinewidth * getTargetPixelRatio() );\n\t\t\t\t\trenderer.setMode( _gl.LINES );\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderer.setMode( _gl.TRIANGLES );\n\n\t\t\t\t}\n\n\t\t\t} else if ( object.isLine ) {\n\n\t\t\t\tlet lineWidth = material.linewidth;\n\n\t\t\t\tif ( lineWidth === undefined ) lineWidth = 1; // Not using Line*Material\n\n\t\t\t\tstate.setLineWidth( lineWidth * getTargetPixelRatio() );\n\n\t\t\t\tif ( object.isLineSegments ) {\n\n\t\t\t\t\trenderer.setMode( _gl.LINES );\n\n\t\t\t\t} else if ( object.isLineLoop ) {\n\n\t\t\t\t\trenderer.setMode( _gl.LINE_LOOP );\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderer.setMode( _gl.LINE_STRIP );\n\n\t\t\t\t}\n\n\t\t\t} else if ( object.isPoints ) {\n\n\t\t\t\trenderer.setMode( _gl.POINTS );\n\n\t\t\t} else if ( object.isSprite ) {\n\n\t\t\t\trenderer.setMode( _gl.TRIANGLES );\n\n\t\t\t}\n\n\t\t\tif ( object.isBatchedMesh ) {\n\n\t\t\t\trenderer.renderMultiDraw( object._multiDrawStarts, object._multiDrawCounts, object._multiDrawCount );\n\n\t\t\t} else if ( object.isInstancedMesh ) {\n\n\t\t\t\trenderer.renderInstances( drawStart, drawCount, object.count );\n\n\t\t\t} else if ( geometry.isInstancedBufferGeometry ) {\n\n\t\t\t\tconst maxInstanceCount = geometry._maxInstanceCount !== undefined ? geometry._maxInstanceCount : Infinity;\n\t\t\t\tconst instanceCount = Math.min( geometry.instanceCount, maxInstanceCount );\n\n\t\t\t\trenderer.renderInstances( drawStart, drawCount, instanceCount );\n\n\t\t\t} else {\n\n\t\t\t\trenderer.render( drawStart, drawCount );\n\n\t\t\t}\n\n\t\t};\n\n\t\t// Compile\n\n\t\tfunction prepareMaterial( material, scene, object ) {\n\n\t\t\tif ( material.transparent === true && material.side === DoubleSide && material.forceSinglePass === false ) {\n\n\t\t\t\tmaterial.side = BackSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t\tmaterial.side = FrontSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t\tmaterial.side = DoubleSide;\n\n\t\t\t} else {\n\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.compile = function ( scene, camera, targetScene = null ) {\n\n\t\t\tif ( targetScene === null ) targetScene = scene;\n\n\t\t\tcurrentRenderState = renderStates.get( targetScene );\n\t\t\tcurrentRenderState.init();\n\n\t\t\trenderStateStack.push( currentRenderState );\n\n\t\t\t// gather lights from both the target scene and the new object that will be added to the scene.\n\n\t\t\ttargetScene.traverseVisible( function ( object ) {\n\n\t\t\t\tif ( object.isLight && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t\tif ( scene !== targetScene ) {\n\n\t\t\t\tscene.traverseVisible( function ( object ) {\n\n\t\t\t\t\tif ( object.isLight && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t\tcurrentRenderState.setupLights( _this._useLegacyLights );\n\n\t\t\t// Only initialize materials in the new scene, not the targetScene.\n\n\t\t\tconst materials = new Set();\n\n\t\t\tscene.traverse( function ( object ) {\n\n\t\t\t\tconst material = object.material;\n\n\t\t\t\tif ( material ) {\n\n\t\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\t\tfor ( let i = 0; i < material.length; i ++ ) {\n\n\t\t\t\t\t\t\tconst material2 = material[ i ];\n\n\t\t\t\t\t\t\tprepareMaterial( material2, targetScene, object );\n\t\t\t\t\t\t\tmaterials.add( material2 );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tprepareMaterial( material, targetScene, object );\n\t\t\t\t\t\tmaterials.add( material );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t\trenderStateStack.pop();\n\t\t\tcurrentRenderState = null;\n\n\t\t\treturn materials;\n\n\t\t};\n\n\t\t// compileAsync\n\n\t\tthis.compileAsync = function ( scene, camera, targetScene = null ) {\n\n\t\t\tconst materials = this.compile( scene, camera, targetScene );\n\n\t\t\t// Wait for all the materials in the new object to indicate that they're\n\t\t\t// ready to be used before resolving the promise.\n\n\t\t\treturn new Promise( ( resolve ) => {\n\n\t\t\t\tfunction checkMaterialsReady() {\n\n\t\t\t\t\tmaterials.forEach( function ( material ) {\n\n\t\t\t\t\t\tconst materialProperties = properties.get( material );\n\t\t\t\t\t\tconst program = materialProperties.currentProgram;\n\n\t\t\t\t\t\tif ( program.isReady() ) {\n\n\t\t\t\t\t\t\t// remove any programs that report they're ready to use from the list\n\t\t\t\t\t\t\tmaterials.delete( material );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} );\n\n\t\t\t\t\t// once the list of compiling materials is empty, call the callback\n\n\t\t\t\t\tif ( materials.size === 0 ) {\n\n\t\t\t\t\t\tresolve( scene );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// if some materials are still not ready, wait a bit and check again\n\n\t\t\t\t\tsetTimeout( checkMaterialsReady, 10 );\n\n\t\t\t\t}\n\n\t\t\t\tif ( extensions.get( 'KHR_parallel_shader_compile' ) !== null ) {\n\n\t\t\t\t\t// If we can check the compilation status of the materials without\n\t\t\t\t\t// blocking then do so right away.\n\n\t\t\t\t\tcheckMaterialsReady();\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// Otherwise start by waiting a bit to give the materials we just\n\t\t\t\t\t// initialized a chance to finish.\n\n\t\t\t\t\tsetTimeout( checkMaterialsReady, 10 );\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t};\n\n\t\t// Animation Loop\n\n\t\tlet onAnimationFrameCallback = null;\n\n\t\tfunction onAnimationFrame( time ) {\n\n\t\t\tif ( onAnimationFrameCallback ) onAnimationFrameCallback( time );\n\n\t\t}\n\n\t\tfunction onXRSessionStart() {\n\n\t\t\tanimation.stop();\n\n\t\t}\n\n\t\tfunction onXRSessionEnd() {\n\n\t\t\tanimation.start();\n\n\t\t}\n\n\t\tconst animation = new WebGLAnimation();\n\t\tanimation.setAnimationLoop( onAnimationFrame );\n\n\t\tif ( typeof self !== 'undefined' ) animation.setContext( self );\n\n\t\tthis.setAnimationLoop = function ( callback ) {\n\n\t\t\tonAnimationFrameCallback = callback;\n\t\t\txr.setAnimationLoop( callback );\n\n\t\t\t( callback === null ) ? animation.stop() : animation.start();\n\n\t\t};\n\n\t\txr.addEventListener( 'sessionstart', onXRSessionStart );\n\t\txr.addEventListener( 'sessionend', onXRSessionEnd );\n\n\t\t// Rendering\n\n\t\tthis.render = function ( scene, camera ) {\n\n\t\t\tif ( camera !== undefined && camera.isCamera !== true ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tif ( _isContextLost === true ) return;\n\n\t\t\t// update scene graph\n\n\t\t\tif ( scene.matrixWorldAutoUpdate === true ) scene.updateMatrixWorld();\n\n\t\t\t// update camera matrices and frustum\n\n\t\t\tif ( camera.parent === null && camera.matrixWorldAutoUpdate === true ) camera.updateMatrixWorld();\n\n\t\t\tif ( xr.enabled === true && xr.isPresenting === true ) {\n\n\t\t\t\tif ( xr.cameraAutoUpdate === true ) xr.updateCamera( camera );\n\n\t\t\t\tcamera = xr.getCamera(); // use XR camera for rendering\n\n\t\t\t}\n\n\t\t\t//\n\t\t\tif ( scene.isScene === true ) scene.onBeforeRender( _this, scene, camera, _currentRenderTarget );\n\n\t\t\tcurrentRenderState = renderStates.get( scene, renderStateStack.length );\n\t\t\tcurrentRenderState.init();\n\n\t\t\trenderStateStack.push( currentRenderState );\n\n\t\t\t_projScreenMatrix.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse );\n\t\t\t_frustum.setFromProjectionMatrix( _projScreenMatrix );\n\n\t\t\t_localClippingEnabled = this.localClippingEnabled;\n\t\t\t_clippingEnabled = clipping.init( this.clippingPlanes, _localClippingEnabled );\n\n\t\t\tcurrentRenderList = renderLists.get( scene, renderListStack.length );\n\t\t\tcurrentRenderList.init();\n\n\t\t\trenderListStack.push( currentRenderList );\n\n\t\t\tprojectObject( scene, camera, 0, _this.sortObjects );\n\n\t\t\tcurrentRenderList.finish();\n\n\t\t\tif ( _this.sortObjects === true ) {\n\n\t\t\t\tcurrentRenderList.sort( _opaqueSort, _transparentSort );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tthis.info.render.frame ++;\n\n\t\t\tif ( _clippingEnabled === true ) clipping.beginShadows();\n\n\t\t\tconst shadowsArray = currentRenderState.state.shadowsArray;\n\n\t\t\tshadowMap.render( shadowsArray, scene, camera );\n\n\t\t\tif ( _clippingEnabled === true ) clipping.endShadows();\n\n\t\t\t//\n\n\t\t\tif ( this.info.autoReset === true ) this.info.reset();\n\n\n\t\t\t//\n\n\t\t\tbackground.render( currentRenderList, scene );\n\n\t\t\t// render scene\n\n\t\t\tcurrentRenderState.setupLights( _this._useLegacyLights );\n\n\t\t\tif ( camera.isArrayCamera ) {\n\n\t\t\t\tconst cameras = camera.cameras;\n\n\t\t\t\tfor ( let i = 0, l = cameras.length; i < l; i ++ ) {\n\n\t\t\t\t\tconst camera2 = cameras[ i ];\n\n\t\t\t\t\trenderScene( currentRenderList, scene, camera2, camera2.viewport );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\trenderScene( currentRenderList, scene, camera );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( _currentRenderTarget !== null ) {\n\n\t\t\t\t// resolve multisample renderbuffers to a single-sample texture if necessary\n\n\t\t\t\ttextures.updateMultisampleRenderTarget( _currentRenderTarget );\n\n\t\t\t\t// Generate mipmap if we're using any kind of mipmap filtering\n\n\t\t\t\ttextures.updateRenderTargetMipmap( _currentRenderTarget );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( scene.isScene === true ) scene.onAfterRender( _this, scene, camera );\n\n\t\t\t// _gl.finish();\n\n\t\t\tbindingStates.resetDefaultState();\n\t\t\t_currentMaterialId = - 1;\n\t\t\t_currentCamera = null;\n\n\t\t\trenderStateStack.pop();\n\n\t\t\tif ( renderStateStack.length > 0 ) {\n\n\t\t\t\tcurrentRenderState = renderStateStack[ renderStateStack.length - 1 ];\n\n\t\t\t} else {\n\n\t\t\t\tcurrentRenderState = null;\n\n\t\t\t}\n\n\t\t\trenderListStack.pop();\n\n\t\t\tif ( renderListStack.length > 0 ) {\n\n\t\t\t\tcurrentRenderList = renderListStack[ renderListStack.length - 1 ];\n\n\t\t\t} else {\n\n\t\t\t\tcurrentRenderList = null;\n\n\t\t\t}\n\n\t\t};\n\n\t\tfunction projectObject( object, camera, groupOrder, sortObjects ) {\n\n\t\t\tif ( object.visible === false ) return;\n\n\t\t\tconst visible = object.layers.test( camera.layers );\n\n\t\t\tif ( visible ) {\n\n\t\t\t\tif ( object.isGroup ) {\n\n\t\t\t\t\tgroupOrder = object.renderOrder;\n\n\t\t\t\t} else if ( object.isLOD ) {\n\n\t\t\t\t\tif ( object.autoUpdate === true ) object.update( camera );\n\n\t\t\t\t} else if ( object.isLight ) {\n\n\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( object.isSprite ) {\n\n\t\t\t\t\tif ( ! object.frustumCulled || _frustum.intersectsSprite( object ) ) {\n\n\t\t\t\t\t\tif ( sortObjects ) {\n\n\t\t\t\t\t\t\t_vector3.setFromMatrixPosition( object.matrixWorld )\n\t\t\t\t\t\t\t\t.applyMatrix4( _projScreenMatrix );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tconst geometry = objects.update( object );\n\t\t\t\t\t\tconst material = object.material;\n\n\t\t\t\t\t\tif ( material.visible ) {\n\n\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, material, groupOrder, _vector3.z, null );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( object.isMesh || object.isLine || object.isPoints ) {\n\n\t\t\t\t\tif ( ! object.frustumCulled || _frustum.intersectsObject( object ) ) {\n\n\t\t\t\t\t\tconst geometry = objects.update( object );\n\t\t\t\t\t\tconst material = object.material;\n\n\t\t\t\t\t\tif ( sortObjects ) {\n\n\t\t\t\t\t\t\tif ( object.boundingSphere !== undefined ) {\n\n\t\t\t\t\t\t\t\tif ( object.boundingSphere === null ) object.computeBoundingSphere();\n\t\t\t\t\t\t\t\t_vector3.copy( object.boundingSphere.center );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\t\t\t\t\t\t\t\t_vector3.copy( geometry.boundingSphere.center );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t_vector3\n\t\t\t\t\t\t\t\t.applyMatrix4( object.matrixWorld )\n\t\t\t\t\t\t\t\t.applyMatrix4( _projScreenMatrix );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\t\t\tconst groups = geometry.groups;\n\n\t\t\t\t\t\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\t\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\t\t\t\tif ( groupMaterial && groupMaterial.visible ) {\n\n\t\t\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, groupMaterial, groupOrder, _vector3.z, group );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else if ( material.visible ) {\n\n\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, material, groupOrder, _vector3.z, null );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst children = object.children;\n\n\t\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\t\tprojectObject( children[ i ], camera, groupOrder, sortObjects );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction renderScene( currentRenderList, scene, camera, viewport ) {\n\n\t\t\tconst opaqueObjects = currentRenderList.opaque;\n\t\t\tconst transmissiveObjects = currentRenderList.transmissive;\n\t\t\tconst transparentObjects = currentRenderList.transparent;\n\n\t\t\tcurrentRenderState.setupLightsView( camera );\n\n\t\t\tif ( _clippingEnabled === true ) clipping.setGlobalState( _this.clippingPlanes, camera );\n\n\t\t\tif ( transmissiveObjects.length > 0 ) renderTransmissionPass( opaqueObjects, transmissiveObjects, scene, camera );\n\n\t\t\tif ( viewport ) state.viewport( _currentViewport.copy( viewport ) );\n\n\t\t\tif ( opaqueObjects.length > 0 ) renderObjects( opaqueObjects, scene, camera );\n\t\t\tif ( transmissiveObjects.length > 0 ) renderObjects( transmissiveObjects, scene, camera );\n\t\t\tif ( transparentObjects.length > 0 ) renderObjects( transparentObjects, scene, camera );\n\n\t\t\t// Ensure depth buffer writing is enabled so it can be cleared on next render\n\n\t\t\tstate.buffers.depth.setTest( true );\n\t\t\tstate.buffers.depth.setMask( true );\n\t\t\tstate.buffers.color.setMask( true );\n\n\t\t\tstate.setPolygonOffset( false );\n\n\t\t}\n\n\t\tfunction renderTransmissionPass( opaqueObjects, transmissiveObjects, scene, camera ) {\n\n\t\t\tconst overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\n\n\t\t\tif ( overrideMaterial !== null ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst isWebGL2 = capabilities.isWebGL2;\n\n\t\t\tif ( _transmissionRenderTarget === null ) {\n\n\t\t\t\t_transmissionRenderTarget = new WebGLRenderTarget( 1, 1, {\n\t\t\t\t\tgenerateMipmaps: true,\n\t\t\t\t\ttype: extensions.has( 'EXT_color_buffer_half_float' ) ? HalfFloatType : UnsignedByteType,\n\t\t\t\t\tminFilter: LinearMipmapLinearFilter,\n\t\t\t\t\tsamples: ( isWebGL2 ) ? 4 : 0\n\t\t\t\t} );\n\n\t\t\t\t// debug\n\n\t\t\t\t/*\n\t\t\t\tconst geometry = new PlaneGeometry();\n\t\t\t\tconst material = new MeshBasicMaterial( { map: _transmissionRenderTarget.texture } );\n\n\t\t\t\tconst mesh = new Mesh( geometry, material );\n\t\t\t\tscene.add( mesh );\n\t\t\t\t*/\n\n\t\t\t}\n\n\t\t\t_this.getDrawingBufferSize( _vector2 );\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t_transmissionRenderTarget.setSize( _vector2.x, _vector2.y );\n\n\t\t\t} else {\n\n\t\t\t\t_transmissionRenderTarget.setSize( floorPowerOfTwo( _vector2.x ), floorPowerOfTwo( _vector2.y ) );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tconst currentRenderTarget = _this.getRenderTarget();\n\t\t\t_this.setRenderTarget( _transmissionRenderTarget );\n\n\t\t\t_this.getClearColor( _currentClearColor );\n\t\t\t_currentClearAlpha = _this.getClearAlpha();\n\t\t\tif ( _currentClearAlpha < 1 ) _this.setClearColor( 0xffffff, 0.5 );\n\n\t\t\t_this.clear();\n\n\t\t\t// Turn off the features which can affect the frag color for opaque objects pass.\n\t\t\t// Otherwise they are applied twice in opaque objects pass and transmission objects pass.\n\t\t\tconst currentToneMapping = _this.toneMapping;\n\t\t\t_this.toneMapping = NoToneMapping;\n\n\t\t\trenderObjects( opaqueObjects, scene, camera );\n\n\t\t\ttextures.updateMultisampleRenderTarget( _transmissionRenderTarget );\n\t\t\ttextures.updateRenderTargetMipmap( _transmissionRenderTarget );\n\n\t\t\tlet renderTargetNeedsUpdate = false;\n\n\t\t\tfor ( let i = 0, l = transmissiveObjects.length; i < l; i ++ ) {\n\n\t\t\t\tconst renderItem = transmissiveObjects[ i ];\n\n\t\t\t\tconst object = renderItem.object;\n\t\t\t\tconst geometry = renderItem.geometry;\n\t\t\t\tconst material = renderItem.material;\n\t\t\t\tconst group = renderItem.group;\n\n\t\t\t\tif ( material.side === DoubleSide && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\tconst currentSide = material.side;\n\n\t\t\t\t\tmaterial.side = BackSide;\n\t\t\t\t\tmaterial.needsUpdate = true;\n\n\t\t\t\t\trenderObject( object, scene, camera, geometry, material, group );\n\n\t\t\t\t\tmaterial.side = currentSide;\n\t\t\t\t\tmaterial.needsUpdate = true;\n\n\t\t\t\t\trenderTargetNeedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( renderTargetNeedsUpdate === true ) {\n\n\t\t\t\ttextures.updateMultisampleRenderTarget( _transmissionRenderTarget );\n\t\t\t\ttextures.updateRenderTargetMipmap( _transmissionRenderTarget );\n\n\t\t\t}\n\n\t\t\t_this.setRenderTarget( currentRenderTarget );\n\n\t\t\t_this.setClearColor( _currentClearColor, _currentClearAlpha );\n\n\t\t\t_this.toneMapping = currentToneMapping;\n\n\t\t}\n\n\t\tfunction renderObjects( renderList, scene, camera ) {\n\n\t\t\tconst overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\n\n\t\t\tfor ( let i = 0, l = renderList.length; i < l; i ++ ) {\n\n\t\t\t\tconst renderItem = renderList[ i ];\n\n\t\t\t\tconst object = renderItem.object;\n\t\t\t\tconst geometry = renderItem.geometry;\n\t\t\t\tconst material = overrideMaterial === null ? renderItem.material : overrideMaterial;\n\t\t\t\tconst group = renderItem.group;\n\n\t\t\t\tif ( object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\trenderObject( object, scene, camera, geometry, material, group );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction renderObject( object, scene, camera, geometry, material, group ) {\n\n\t\t\tobject.onBeforeRender( _this, scene, camera, geometry, material, group );\n\n\t\t\tobject.modelViewMatrix.multiplyMatrices( camera.matrixWorldInverse, object.matrixWorld );\n\t\t\tobject.normalMatrix.getNormalMatrix( object.modelViewMatrix );\n\n\t\t\tmaterial.onBeforeRender( _this, scene, camera, geometry, object, group );\n\n\t\t\tif ( material.transparent === true && material.side === DoubleSide && material.forceSinglePass === false ) {\n\n\t\t\t\tmaterial.side = BackSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t\tmaterial.side = FrontSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t\tmaterial.side = DoubleSide;\n\n\t\t\t} else {\n\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t}\n\n\t\t\tobject.onAfterRender( _this, scene, camera, geometry, material, group );\n\n\t\t}\n\n\t\tfunction getProgram( material, scene, object ) {\n\n\t\t\tif ( scene.isScene !== true ) scene = _emptyScene; // scene could be a Mesh, Line, Points, ...\n\n\t\t\tconst materialProperties = properties.get( material );\n\n\t\t\tconst lights = currentRenderState.state.lights;\n\t\t\tconst shadowsArray = currentRenderState.state.shadowsArray;\n\n\t\t\tconst lightsStateVersion = lights.state.version;\n\n\t\t\tconst parameters = programCache.getParameters( material, lights.state, shadowsArray, scene, object );\n\t\t\tconst programCacheKey = programCache.getProgramCacheKey( parameters );\n\n\t\t\tlet programs = materialProperties.programs;\n\n\t\t\t// always update environment and fog - changing these trigger an getProgram call, but it's possible that the program doesn't change\n\n\t\t\tmaterialProperties.environment = material.isMeshStandardMaterial ? scene.environment : null;\n\t\t\tmaterialProperties.fog = scene.fog;\n\t\t\tmaterialProperties.envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || materialProperties.environment );\n\n\t\t\tif ( programs === undefined ) {\n\n\t\t\t\t// new material\n\n\t\t\t\tmaterial.addEventListener( 'dispose', onMaterialDispose );\n\n\t\t\t\tprograms = new Map();\n\t\t\t\tmaterialProperties.programs = programs;\n\n\t\t\t}\n\n\t\t\tlet program = programs.get( programCacheKey );\n\n\t\t\tif ( program !== undefined ) {\n\n\t\t\t\t// early out if program and light state is identical\n\n\t\t\t\tif ( materialProperties.currentProgram === program && materialProperties.lightsStateVersion === lightsStateVersion ) {\n\n\t\t\t\t\tupdateCommonMaterialProperties( material, parameters );\n\n\t\t\t\t\treturn program;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tparameters.uniforms = programCache.getUniforms( material );\n\n\t\t\t\tmaterial.onBuild( object, parameters, _this );\n\n\t\t\t\tmaterial.onBeforeCompile( parameters, _this );\n\n\t\t\t\tprogram = programCache.acquireProgram( parameters, programCacheKey );\n\t\t\t\tprograms.set( programCacheKey, program );\n\n\t\t\t\tmaterialProperties.uniforms = parameters.uniforms;\n\n\t\t\t}\n\n\t\t\tconst uniforms = materialProperties.uniforms;\n\n\t\t\tif ( ( ! material.isShaderMaterial && ! material.isRawShaderMaterial ) || material.clipping === true ) {\n\n\t\t\t\tuniforms.clippingPlanes = clipping.uniform;\n\n\t\t\t}\n\n\t\t\tupdateCommonMaterialProperties( material, parameters );\n\n\t\t\t// store the light setup it was created for\n\n\t\t\tmaterialProperties.needsLights = materialNeedsLights( material );\n\t\t\tmaterialProperties.lightsStateVersion = lightsStateVersion;\n\n\t\t\tif ( materialProperties.needsLights ) {\n\n\t\t\t\t// wire up the material to this renderer's lighting state\n\n\t\t\t\tuniforms.ambientLightColor.value = lights.state.ambient;\n\t\t\t\tuniforms.lightProbe.value = lights.state.probe;\n\t\t\t\tuniforms.directionalLights.value = lights.state.directional;\n\t\t\t\tuniforms.directionalLightShadows.value = lights.state.directionalShadow;\n\t\t\t\tuniforms.spotLights.value = lights.state.spot;\n\t\t\t\tuniforms.spotLightShadows.value = lights.state.spotShadow;\n\t\t\t\tuniforms.rectAreaLights.value = lights.state.rectArea;\n\t\t\t\tuniforms.ltc_1.value = lights.state.rectAreaLTC1;\n\t\t\t\tuniforms.ltc_2.value = lights.state.rectAreaLTC2;\n\t\t\t\tuniforms.pointLights.value = lights.state.point;\n\t\t\t\tuniforms.pointLightShadows.value = lights.state.pointShadow;\n\t\t\t\tuniforms.hemisphereLights.value = lights.state.hemi;\n\n\t\t\t\tuniforms.directionalShadowMap.value = lights.state.directionalShadowMap;\n\t\t\t\tuniforms.directionalShadowMatrix.value = lights.state.directionalShadowMatrix;\n\t\t\t\tuniforms.spotShadowMap.value = lights.state.spotShadowMap;\n\t\t\t\tuniforms.spotLightMatrix.value = lights.state.spotLightMatrix;\n\t\t\t\tuniforms.spotLightMap.value = lights.state.spotLightMap;\n\t\t\t\tuniforms.pointShadowMap.value = lights.state.pointShadowMap;\n\t\t\t\tuniforms.pointShadowMatrix.value = lights.state.pointShadowMatrix;\n\t\t\t\t// TODO (abelnation): add area lights shadow info to uniforms\n\n\t\t\t}\n\n\t\t\tmaterialProperties.currentProgram = program;\n\t\t\tmaterialProperties.uniformsList = null;\n\n\t\t\treturn program;\n\n\t\t}\n\n\t\tfunction getUniformList( materialProperties ) {\n\n\t\t\tif ( materialProperties.uniformsList === null ) {\n\n\t\t\t\tconst progUniforms = materialProperties.currentProgram.getUniforms();\n\t\t\t\tmaterialProperties.uniformsList = WebGLUniforms.seqWithValue( progUniforms.seq, materialProperties.uniforms );\n\n\t\t\t}\n\n\t\t\treturn materialProperties.uniformsList;\n\n\t\t}\n\n\t\tfunction updateCommonMaterialProperties( material, parameters ) {\n\n\t\t\tconst materialProperties = properties.get( material );\n\n\t\t\tmaterialProperties.outputColorSpace = parameters.outputColorSpace;\n\t\t\tmaterialProperties.batching = parameters.batching;\n\t\t\tmaterialProperties.instancing = parameters.instancing;\n\t\t\tmaterialProperties.instancingColor = parameters.instancingColor;\n\t\t\tmaterialProperties.skinning = parameters.skinning;\n\t\t\tmaterialProperties.morphTargets = parameters.morphTargets;\n\t\t\tmaterialProperties.morphNormals = parameters.morphNormals;\n\t\t\tmaterialProperties.morphColors = parameters.morphColors;\n\t\t\tmaterialProperties.morphTargetsCount = parameters.morphTargetsCount;\n\t\t\tmaterialProperties.numClippingPlanes = parameters.numClippingPlanes;\n\t\t\tmaterialProperties.numIntersection = parameters.numClipIntersection;\n\t\t\tmaterialProperties.vertexAlphas = parameters.vertexAlphas;\n\t\t\tmaterialProperties.vertexTangents = parameters.vertexTangents;\n\t\t\tmaterialProperties.toneMapping = parameters.toneMapping;\n\n\t\t}\n\n\t\tfunction setProgram( camera, scene, geometry, material, object ) {\n\n\t\t\tif ( scene.isScene !== true ) scene = _emptyScene; // scene could be a Mesh, Line, Points, ...\n\n\t\t\ttextures.resetTextureUnits();\n\n\t\t\tconst fog = scene.fog;\n\t\t\tconst environment = material.isMeshStandardMaterial ? scene.environment : null;\n\t\t\tconst colorSpace = ( _currentRenderTarget === null ) ? _this.outputColorSpace : ( _currentRenderTarget.isXRRenderTarget === true ? _currentRenderTarget.texture.colorSpace : LinearSRGBColorSpace );\n\t\t\tconst envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || environment );\n\t\t\tconst vertexAlphas = material.vertexColors === true && !! geometry.attributes.color && geometry.attributes.color.itemSize === 4;\n\t\t\tconst vertexTangents = !! geometry.attributes.tangent && ( !! material.normalMap || material.anisotropy > 0 );\n\t\t\tconst morphTargets = !! geometry.morphAttributes.position;\n\t\t\tconst morphNormals = !! geometry.morphAttributes.normal;\n\t\t\tconst morphColors = !! geometry.morphAttributes.color;\n\n\t\t\tlet toneMapping = NoToneMapping;\n\n\t\t\tif ( material.toneMapped ) {\n\n\t\t\t\tif ( _currentRenderTarget === null || _currentRenderTarget.isXRRenderTarget === true ) {\n\n\t\t\t\t\ttoneMapping = _this.toneMapping;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\t\tconst materialProperties = properties.get( material );\n\t\t\tconst lights = currentRenderState.state.lights;\n\n\t\t\tif ( _clippingEnabled === true ) {\n\n\t\t\t\tif ( _localClippingEnabled === true || camera !== _currentCamera ) {\n\n\t\t\t\t\tconst useCache =\n\t\t\t\t\t\tcamera === _currentCamera &&\n\t\t\t\t\t\tmaterial.id === _currentMaterialId;\n\n\t\t\t\t\t// we might want to call this function with some ClippingGroup\n\t\t\t\t\t// object instead of the material, once it becomes feasible\n\t\t\t\t\t// (#8465, #8379)\n\t\t\t\t\tclipping.setState( material, camera, useCache );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet needsProgramChange = false;\n\n\t\t\tif ( material.version === materialProperties.__version ) {\n\n\t\t\t\tif ( materialProperties.needsLights && ( materialProperties.lightsStateVersion !== lights.state.version ) ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.outputColorSpace !== colorSpace ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isBatchedMesh && materialProperties.batching === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isBatchedMesh && materialProperties.batching === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancing === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isInstancedMesh && materialProperties.instancing === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isSkinnedMesh && materialProperties.skinning === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isSkinnedMesh && materialProperties.skinning === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancingColor === true && object.instanceColor === null ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancingColor === false && object.instanceColor !== null ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.envMap !== envMap ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( material.fog === true && materialProperties.fog !== fog ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.numClippingPlanes !== undefined &&\n\t\t\t\t\t( materialProperties.numClippingPlanes !== clipping.numPlanes ||\n\t\t\t\t\tmaterialProperties.numIntersection !== clipping.numIntersection ) ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.vertexAlphas !== vertexAlphas ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.vertexTangents !== vertexTangents ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphTargets !== morphTargets ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphNormals !== morphNormals ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphColors !== morphColors ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.toneMapping !== toneMapping ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( capabilities.isWebGL2 === true && materialProperties.morphTargetsCount !== morphTargetsCount ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tneedsProgramChange = true;\n\t\t\t\tmaterialProperties.__version = material.version;\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet program = materialProperties.currentProgram;\n\n\t\t\tif ( needsProgramChange === true ) {\n\n\t\t\t\tprogram = getProgram( material, scene, object );\n\n\t\t\t}\n\n\t\t\tlet refreshProgram = false;\n\t\t\tlet refreshMaterial = false;\n\t\t\tlet refreshLights = false;\n\n\t\t\tconst p_uniforms = program.getUniforms(),\n\t\t\t\tm_uniforms = materialProperties.uniforms;\n\n\t\t\tif ( state.useProgram( program.program ) ) {\n\n\t\t\t\trefreshProgram = true;\n\t\t\t\trefreshMaterial = true;\n\t\t\t\trefreshLights = true;\n\n\t\t\t}\n\n\t\t\tif ( material.id !== _currentMaterialId ) {\n\n\t\t\t\t_currentMaterialId = material.id;\n\n\t\t\t\trefreshMaterial = true;\n\n\t\t\t}\n\n\t\t\tif ( refreshProgram || _currentCamera !== camera ) {\n\n\t\t\t\t// common camera uniforms\n\n\t\t\t\tp_uniforms.setValue( _gl, 'projectionMatrix', camera.projectionMatrix );\n\t\t\t\tp_uniforms.setValue( _gl, 'viewMatrix', camera.matrixWorldInverse );\n\n\t\t\t\tconst uCamPos = p_uniforms.map.cameraPosition;\n\n\t\t\t\tif ( uCamPos !== undefined ) {\n\n\t\t\t\t\tuCamPos.setValue( _gl, _vector3.setFromMatrixPosition( camera.matrixWorld ) );\n\n\t\t\t\t}\n\n\t\t\t\tif ( capabilities.logarithmicDepthBuffer ) {\n\n\t\t\t\t\tp_uniforms.setValue( _gl, 'logDepthBufFC',\n\t\t\t\t\t\t2.0 / ( Math.log( camera.far + 1.0 ) / Math.LN2 ) );\n\n\t\t\t\t}\n\n\t\t\t\t// consider moving isOrthographic to UniformLib and WebGLMaterials, see https://github.com/mrdoob/three.js/pull/26467#issuecomment-1645185067\n\n\t\t\t\tif ( material.isMeshPhongMaterial ||\n\t\t\t\t\tmaterial.isMeshToonMaterial ||\n\t\t\t\t\tmaterial.isMeshLambertMaterial ||\n\t\t\t\t\tmaterial.isMeshBasicMaterial ||\n\t\t\t\t\tmaterial.isMeshStandardMaterial ||\n\t\t\t\t\tmaterial.isShaderMaterial ) {\n\n\t\t\t\t\tp_uniforms.setValue( _gl, 'isOrthographic', camera.isOrthographicCamera === true );\n\n\t\t\t\t}\n\n\t\t\t\tif ( _currentCamera !== camera ) {\n\n\t\t\t\t\t_currentCamera = camera;\n\n\t\t\t\t\t// lighting uniforms depend on the camera so enforce an update\n\t\t\t\t\t// now, in case this material supports lights - or later, when\n\t\t\t\t\t// the next material that does gets activated:\n\n\t\t\t\t\trefreshMaterial = true;\t\t// set to true on material change\n\t\t\t\t\trefreshLights = true;\t\t// remains set until update done\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// skinning and morph target uniforms must be set even if material didn't change\n\t\t\t// auto-setting of texture unit for bone and morph texture must go before other textures\n\t\t\t// otherwise textures used for skinning and morphing can take over texture units reserved for other material textures\n\n\t\t\tif ( object.isSkinnedMesh ) {\n\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'bindMatrix' );\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'bindMatrixInverse' );\n\n\t\t\t\tconst skeleton = object.skeleton;\n\n\t\t\t\tif ( skeleton ) {\n\n\t\t\t\t\tif ( capabilities.floatVertexTextures ) {\n\n\t\t\t\t\t\tif ( skeleton.boneTexture === null ) skeleton.computeBoneTexture();\n\n\t\t\t\t\t\tp_uniforms.setValue( _gl, 'boneTexture', skeleton.boneTexture, textures );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( object.isBatchedMesh ) {\n\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'batchingTexture' );\n\t\t\t\tp_uniforms.setValue( _gl, 'batchingTexture', object._matricesTexture, textures );\n\n\t\t\t}\n\n\t\t\tconst morphAttributes = geometry.morphAttributes;\n\n\t\t\tif ( morphAttributes.position !== undefined || morphAttributes.normal !== undefined || ( morphAttributes.color !== undefined && capabilities.isWebGL2 === true ) ) {\n\n\t\t\t\tmorphtargets.update( object, geometry, program );\n\n\t\t\t}\n\n\t\t\tif ( refreshMaterial || materialProperties.receiveShadow !== object.receiveShadow ) {\n\n\t\t\t\tmaterialProperties.receiveShadow = object.receiveShadow;\n\t\t\t\tp_uniforms.setValue( _gl, 'receiveShadow', object.receiveShadow );\n\n\t\t\t}\n\n\t\t\t// https://github.com/mrdoob/three.js/pull/24467#issuecomment-1209031512\n\n\t\t\tif ( material.isMeshGouraudMaterial && material.envMap !== null ) {\n\n\t\t\t\tm_uniforms.envMap.value = envMap;\n\n\t\t\t\tm_uniforms.flipEnvMap.value = ( envMap.isCubeTexture && envMap.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t\t}\n\n\t\t\tif ( refreshMaterial ) {\n\n\t\t\t\tp_uniforms.setValue( _gl, 'toneMappingExposure', _this.toneMappingExposure );\n\n\t\t\t\tif ( materialProperties.needsLights ) {\n\n\t\t\t\t\t// the current material requires lighting info\n\n\t\t\t\t\t// note: all lighting uniforms are always set correctly\n\t\t\t\t\t// they simply reference the renderer's state for their\n\t\t\t\t\t// values\n\t\t\t\t\t//\n\t\t\t\t\t// use the current material's .needsUpdate flags to set\n\t\t\t\t\t// the GL state when required\n\n\t\t\t\t\tmarkUniformsLightsNeedsUpdate( m_uniforms, refreshLights );\n\n\t\t\t\t}\n\n\t\t\t\t// refresh uniforms common to several materials\n\n\t\t\t\tif ( fog && material.fog === true ) {\n\n\t\t\t\t\tmaterials.refreshFogUniforms( m_uniforms, fog );\n\n\t\t\t\t}\n\n\t\t\t\tmaterials.refreshMaterialUniforms( m_uniforms, material, _pixelRatio, _height, _transmissionRenderTarget );\n\n\t\t\t\tWebGLUniforms.upload( _gl, getUniformList( materialProperties ), m_uniforms, textures );\n\n\t\t\t}\n\n\t\t\tif ( material.isShaderMaterial && material.uniformsNeedUpdate === true ) {\n\n\t\t\t\tWebGLUniforms.upload( _gl, getUniformList( materialProperties ), m_uniforms, textures );\n\t\t\t\tmaterial.uniformsNeedUpdate = false;\n\n\t\t\t}\n\n\t\t\tif ( material.isSpriteMaterial ) {\n\n\t\t\t\tp_uniforms.setValue( _gl, 'center', object.center );\n\n\t\t\t}\n\n\t\t\t// common matrices\n\n\t\t\tp_uniforms.setValue( _gl, 'modelViewMatrix', object.modelViewMatrix );\n\t\t\tp_uniforms.setValue( _gl, 'normalMatrix', object.normalMatrix );\n\t\t\tp_uniforms.setValue( _gl, 'modelMatrix', object.matrixWorld );\n\n\t\t\t// UBOs\n\n\t\t\tif ( material.isShaderMaterial || material.isRawShaderMaterial ) {\n\n\t\t\t\tconst groups = material.uniformsGroups;\n\n\t\t\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\t\t\tconst group = groups[ i ];\n\n\t\t\t\t\t\tuniformsGroups.update( group, program );\n\t\t\t\t\t\tuniformsGroups.bind( group, program );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn program;\n\n\t\t}\n\n\t\t// If uniforms are marked as clean, they don't need to be loaded to the GPU.\n\n\t\tfunction markUniformsLightsNeedsUpdate( uniforms, value ) {\n\n\t\t\tuniforms.ambientLightColor.needsUpdate = value;\n\t\t\tuniforms.lightProbe.needsUpdate = value;\n\n\t\t\tuniforms.directionalLights.needsUpdate = value;\n\t\t\tuniforms.directionalLightShadows.needsUpdate = value;\n\t\t\tuniforms.pointLights.needsUpdate = value;\n\t\t\tuniforms.pointLightShadows.needsUpdate = value;\n\t\t\tuniforms.spotLights.needsUpdate = value;\n\t\t\tuniforms.spotLightShadows.needsUpdate = value;\n\t\t\tuniforms.rectAreaLights.needsUpdate = value;\n\t\t\tuniforms.hemisphereLights.needsUpdate = value;\n\n\t\t}\n\n\t\tfunction materialNeedsLights( material ) {\n\n\t\t\treturn material.isMeshLambertMaterial || material.isMeshToonMaterial || material.isMeshPhongMaterial ||\n\t\t\t\tmaterial.isMeshStandardMaterial || material.isShadowMaterial ||\n\t\t\t\t( material.isShaderMaterial && material.lights === true );\n\n\t\t}\n\n\t\tthis.getActiveCubeFace = function () {\n\n\t\t\treturn _currentActiveCubeFace;\n\n\t\t};\n\n\t\tthis.getActiveMipmapLevel = function () {\n\n\t\t\treturn _currentActiveMipmapLevel;\n\n\t\t};\n\n\t\tthis.getRenderTarget = function () {\n\n\t\t\treturn _currentRenderTarget;\n\n\t\t};\n\n\t\tthis.setRenderTargetTextures = function ( renderTarget, colorTexture, depthTexture ) {\n\n\t\t\tproperties.get( renderTarget.texture ).__webglTexture = colorTexture;\n\t\t\tproperties.get( renderTarget.depthTexture ).__webglTexture = depthTexture;\n\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\trenderTargetProperties.__hasExternalTextures = true;\n\n\t\t\tif ( renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\t\trenderTargetProperties.__autoAllocateDepthBuffer = depthTexture === undefined;\n\n\t\t\t\tif ( ! renderTargetProperties.__autoAllocateDepthBuffer ) {\n\n\t\t\t\t\t// The multisample_render_to_texture extension doesn't work properly if there\n\t\t\t\t\t// are midframe flushes and an external depth buffer. Disable use of the extension.\n\t\t\t\t\tif ( extensions.has( 'WEBGL_multisampled_render_to_texture' ) === true ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided' );\n\t\t\t\t\t\trenderTargetProperties.__useRenderToTexture = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.setRenderTargetFramebuffer = function ( renderTarget, defaultFramebuffer ) {\n\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\trenderTargetProperties.__webglFramebuffer = defaultFramebuffer;\n\t\t\trenderTargetProperties.__useDefaultFramebuffer = defaultFramebuffer === undefined;\n\n\t\t};\n\n\t\tthis.setRenderTarget = function ( renderTarget, activeCubeFace = 0, activeMipmapLevel = 0 ) {\n\n\t\t\t_currentRenderTarget = renderTarget;\n\t\t\t_currentActiveCubeFace = activeCubeFace;\n\t\t\t_currentActiveMipmapLevel = activeMipmapLevel;\n\n\t\t\tlet useDefaultFramebuffer = true;\n\t\t\tlet framebuffer = null;\n\t\t\tlet isCube = false;\n\t\t\tlet isRenderTarget3D = false;\n\n\t\t\tif ( renderTarget ) {\n\n\t\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\t\t\tif ( renderTargetProperties.__useDefaultFramebuffer !== undefined ) {\n\n\t\t\t\t\t// We need to make sure to rebind the framebuffer.\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\t\t\t\t\tuseDefaultFramebuffer = false;\n\n\t\t\t\t} else if ( renderTargetProperties.__webglFramebuffer === undefined ) {\n\n\t\t\t\t\ttextures.setupRenderTarget( renderTarget );\n\n\t\t\t\t} else if ( renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\t\t\t// Color and depth texture must be rebound in order for the swapchain to update.\n\t\t\t\t\ttextures.rebindTextures( renderTarget, properties.get( renderTarget.texture ).__webglTexture, properties.get( renderTarget.depthTexture ).__webglTexture );\n\n\t\t\t\t}\n\n\t\t\t\tconst texture = renderTarget.texture;\n\n\t\t\t\tif ( texture.isData3DTexture || texture.isDataArrayTexture || texture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tisRenderTarget3D = true;\n\n\t\t\t\t}\n\n\t\t\t\tconst __webglFramebuffer = properties.get( renderTarget ).__webglFramebuffer;\n\n\t\t\t\tif ( renderTarget.isWebGLCubeRenderTarget ) {\n\n\t\t\t\t\tif ( Array.isArray( __webglFramebuffer[ activeCubeFace ] ) ) {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeCubeFace ][ activeMipmapLevel ];\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeCubeFace ];\n\n\t\t\t\t\t}\n\n\t\t\t\t\tisCube = true;\n\n\t\t\t\t} else if ( ( capabilities.isWebGL2 && renderTarget.samples > 0 ) && textures.useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t\tframebuffer = properties.get( renderTarget ).__webglMultisampledFramebuffer;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( Array.isArray( __webglFramebuffer ) ) {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeMipmapLevel ];\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t_currentViewport.copy( renderTarget.viewport );\n\t\t\t\t_currentScissor.copy( renderTarget.scissor );\n\t\t\t\t_currentScissorTest = renderTarget.scissorTest;\n\n\t\t\t} else {\n\n\t\t\t\t_currentViewport.copy( _viewport ).multiplyScalar( _pixelRatio ).floor();\n\t\t\t\t_currentScissor.copy( _scissor ).multiplyScalar( _pixelRatio ).floor();\n\t\t\t\t_currentScissorTest = _scissorTest;\n\n\t\t\t}\n\n\t\t\tconst framebufferBound = state.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\tif ( framebufferBound && capabilities.drawBuffers && useDefaultFramebuffer ) {\n\n\t\t\t\tstate.drawBuffers( renderTarget, framebuffer );\n\n\t\t\t}\n\n\t\t\tstate.viewport( _currentViewport );\n\t\t\tstate.scissor( _currentScissor );\n\t\t\tstate.setScissorTest( _currentScissorTest );\n\n\t\t\tif ( isCube ) {\n\n\t\t\t\tconst textureProperties = properties.get( renderTarget.texture );\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + activeCubeFace, textureProperties.__webglTexture, activeMipmapLevel );\n\n\t\t\t} else if ( isRenderTarget3D ) {\n\n\t\t\t\tconst textureProperties = properties.get( renderTarget.texture );\n\t\t\t\tconst layer = activeCubeFace || 0;\n\t\t\t\t_gl.framebufferTextureLayer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, textureProperties.__webglTexture, activeMipmapLevel || 0, layer );\n\n\t\t\t}\n\n\t\t\t_currentMaterialId = - 1; // reset current material to ensure correct uniform bindings\n\n\t\t};\n\n\t\tthis.readRenderTargetPixels = function ( renderTarget, x, y, width, height, buffer, activeCubeFaceIndex ) {\n\n\t\t\tif ( ! ( renderTarget && renderTarget.isWebGLRenderTarget ) ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tlet framebuffer = properties.get( renderTarget ).__webglFramebuffer;\n\n\t\t\tif ( renderTarget.isWebGLCubeRenderTarget && activeCubeFaceIndex !== undefined ) {\n\n\t\t\t\tframebuffer = framebuffer[ activeCubeFaceIndex ];\n\n\t\t\t}\n\n\t\t\tif ( framebuffer ) {\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\t\ttry {\n\n\t\t\t\t\tconst texture = renderTarget.texture;\n\t\t\t\t\tconst textureFormat = texture.format;\n\t\t\t\t\tconst textureType = texture.type;\n\n\t\t\t\t\tif ( textureFormat !== RGBAFormat && utils.convert( textureFormat ) !== _gl.getParameter( _gl.IMPLEMENTATION_COLOR_READ_FORMAT ) ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.' );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst halfFloatSupportedByExt = ( textureType === HalfFloatType ) && ( extensions.has( 'EXT_color_buffer_half_float' ) || ( capabilities.isWebGL2 && extensions.has( 'EXT_color_buffer_float' ) ) );\n\n\t\t\t\t\tif ( textureType !== UnsignedByteType && utils.convert( textureType ) !== _gl.getParameter( _gl.IMPLEMENTATION_COLOR_READ_TYPE ) && // Edge and Chrome Mac < 52 (#9513)\n\t\t\t\t\t\t! ( textureType === FloatType && ( capabilities.isWebGL2 || extensions.has( 'OES_texture_float' ) || extensions.has( 'WEBGL_color_buffer_float' ) ) ) && // Chrome Mac >= 52 and Firefox\n\t\t\t\t\t\t! halfFloatSupportedByExt ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.' );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the following if statement ensures valid read requests (no out-of-bounds pixels, see #8604)\n\n\t\t\t\t\tif ( ( x >= 0 && x <= ( renderTarget.width - width ) ) && ( y >= 0 && y <= ( renderTarget.height - height ) ) ) {\n\n\t\t\t\t\t\t_gl.readPixels( x, y, width, height, utils.convert( textureFormat ), utils.convert( textureType ), buffer );\n\n\t\t\t\t\t}\n\n\t\t\t\t} finally {\n\n\t\t\t\t\t// restore framebuffer of current render target if necessary\n\n\t\t\t\t\tconst framebuffer = ( _currentRenderTarget !== null ) ? properties.get( _currentRenderTarget ).__webglFramebuffer : null;\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.copyFramebufferToTexture = function ( position, texture, level = 0 ) {\n\n\t\t\tconst levelScale = Math.pow( 2, - level );\n\t\t\tconst width = Math.floor( texture.image.width * levelScale );\n\t\t\tconst height = Math.floor( texture.image.height * levelScale );\n\n\t\t\ttextures.setTexture2D( texture, 0 );\n\n\t\t\t_gl.copyTexSubImage2D( _gl.TEXTURE_2D, level, 0, 0, position.x, position.y, width, height );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.copyTextureToTexture = function ( position, srcTexture, dstTexture, level = 0 ) {\n\n\t\t\tconst width = srcTexture.image.width;\n\t\t\tconst height = srcTexture.image.height;\n\t\t\tconst glFormat = utils.convert( dstTexture.format );\n\t\t\tconst glType = utils.convert( dstTexture.type );\n\n\t\t\ttextures.setTexture2D( dstTexture, 0 );\n\n\t\t\t// As another texture upload may have changed pixelStorei\n\t\t\t// parameters, make sure they are correct for the dstTexture\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment );\n\n\t\t\tif ( srcTexture.isDataTexture ) {\n\n\t\t\t\t_gl.texSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, width, height, glFormat, glType, srcTexture.image.data );\n\n\t\t\t} else {\n\n\t\t\t\tif ( srcTexture.isCompressedTexture ) {\n\n\t\t\t\t\t_gl.compressedTexSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, srcTexture.mipmaps[ 0 ].width, srcTexture.mipmaps[ 0 ].height, glFormat, srcTexture.mipmaps[ 0 ].data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.texSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, glFormat, glType, srcTexture.image );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Generate mipmaps only when copying level 0\n\t\t\tif ( level === 0 && dstTexture.generateMipmaps ) _gl.generateMipmap( _gl.TEXTURE_2D );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.copyTextureToTexture3D = function ( sourceBox, position, srcTexture, dstTexture, level = 0 ) {\n\n\t\t\tif ( _this.isWebGL1Renderer ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst width = sourceBox.max.x - sourceBox.min.x + 1;\n\t\t\tconst height = sourceBox.max.y - sourceBox.min.y + 1;\n\t\t\tconst depth = sourceBox.max.z - sourceBox.min.z + 1;\n\t\t\tconst glFormat = utils.convert( dstTexture.format );\n\t\t\tconst glType = utils.convert( dstTexture.type );\n\t\t\tlet glTarget;\n\n\t\t\tif ( dstTexture.isData3DTexture ) {\n\n\t\t\t\ttextures.setTexture3D( dstTexture, 0 );\n\t\t\t\tglTarget = _gl.TEXTURE_3D;\n\n\t\t\t} else if ( dstTexture.isDataArrayTexture || dstTexture.isCompressedArrayTexture ) {\n\n\t\t\t\ttextures.setTexture2DArray( dstTexture, 0 );\n\t\t\t\tglTarget = _gl.TEXTURE_2D_ARRAY;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment );\n\n\t\t\tconst unpackRowLen = _gl.getParameter( _gl.UNPACK_ROW_LENGTH );\n\t\t\tconst unpackImageHeight = _gl.getParameter( _gl.UNPACK_IMAGE_HEIGHT );\n\t\t\tconst unpackSkipPixels = _gl.getParameter( _gl.UNPACK_SKIP_PIXELS );\n\t\t\tconst unpackSkipRows = _gl.getParameter( _gl.UNPACK_SKIP_ROWS );\n\t\t\tconst unpackSkipImages = _gl.getParameter( _gl.UNPACK_SKIP_IMAGES );\n\n\t\t\tconst image = srcTexture.isCompressedTexture ? srcTexture.mipmaps[ level ] : srcTexture.image;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ROW_LENGTH, image.width );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_IMAGE_HEIGHT, image.height );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_PIXELS, sourceBox.min.x );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_ROWS, sourceBox.min.y );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_IMAGES, sourceBox.min.z );\n\n\t\t\tif ( srcTexture.isDataTexture || srcTexture.isData3DTexture ) {\n\n\t\t\t\t_gl.texSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, glType, image.data );\n\n\t\t\t} else {\n\n\t\t\t\tif ( srcTexture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture.' );\n\t\t\t\t\t_gl.compressedTexSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.texSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, glType, image );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ROW_LENGTH, unpackRowLen );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_IMAGE_HEIGHT, unpackImageHeight );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_PIXELS, unpackSkipPixels );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_ROWS, unpackSkipRows );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_IMAGES, unpackSkipImages );\n\n\t\t\t// Generate mipmaps only when copying level 0\n\t\t\tif ( level === 0 && dstTexture.generateMipmaps ) _gl.generateMipmap( glTarget );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.initTexture = function ( texture ) {\n\n\t\t\tif ( texture.isCubeTexture ) {\n\n\t\t\t\ttextures.setTextureCube( texture, 0 );\n\n\t\t\t} else if ( texture.isData3DTexture ) {\n\n\t\t\t\ttextures.setTexture3D( texture, 0 );\n\n\t\t\t} else if ( texture.isDataArrayTexture || texture.isCompressedArrayTexture ) {\n\n\t\t\t\ttextures.setTexture2DArray( texture, 0 );\n\n\t\t\t} else {\n\n\t\t\t\ttextures.setTexture2D( texture, 0 );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.resetState = function () {\n\n\t\t\t_currentActiveCubeFace = 0;\n\t\t\t_currentActiveMipmapLevel = 0;\n\t\t\t_currentRenderTarget = null;\n\n\t\t\tstate.reset();\n\t\t\tbindingStates.reset();\n\n\t\t};\n\n\t\tif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t\t\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'observe', { detail: this } ) );\n\n\t\t}\n\n\t}\n\n\tget coordinateSystem() {\n\n\t\treturn WebGLCoordinateSystem;\n\n\t}\n\n\tget outputColorSpace() {\n\n\t\treturn this._outputColorSpace;\n\n\t}\n\n\tset outputColorSpace( colorSpace ) {\n\n\t\tthis._outputColorSpace = colorSpace;\n\n\t\tconst gl = this.getContext();\n\t\tgl.drawingBufferColorSpace = colorSpace === DisplayP3ColorSpace ? 'display-p3' : 'srgb';\n\t\tgl.unpackColorSpace = ColorManagement.workingColorSpace === LinearDisplayP3ColorSpace ? 'display-p3' : 'srgb';\n\n\t}\n\n\tget outputEncoding() { // @deprecated, r152\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead.' );\n\t\treturn this.outputColorSpace === SRGBColorSpace ? sRGBEncoding : LinearEncoding;\n\n\t}\n\n\tset outputEncoding( encoding ) { // @deprecated, r152\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead.' );\n\t\tthis.outputColorSpace = encoding === sRGBEncoding ? SRGBColorSpace : LinearSRGBColorSpace;\n\n\t}\n\n\tget useLegacyLights() { // @deprecated, r155\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733.' );\n\t\treturn this._useLegacyLights;\n\n\t}\n\n\tset useLegacyLights( value ) { // @deprecated, r155\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733.' );\n\t\tthis._useLegacyLights = value;\n\n\t}\n\n}\n\nclass WebGL1Renderer extends WebGLRenderer {}\n\nWebGL1Renderer.prototype.isWebGL1Renderer = true;\n\nclass FogExp2 {\n\n\tconstructor( color, density = 0.00025 ) {\n\n\t\tthis.isFogExp2 = true;\n\n\t\tthis.name = '';\n\n\t\tthis.color = new Color( color );\n\t\tthis.density = density;\n\n\t}\n\n\tclone() {\n\n\t\treturn new FogExp2( this.color, this.density );\n\n\t}\n\n\ttoJSON( /* meta */ ) {\n\n\t\treturn {\n\t\t\ttype: 'FogExp2',\n\t\t\tname: this.name,\n\t\t\tcolor: this.color.getHex(),\n\t\t\tdensity: this.density\n\t\t};\n\n\t}\n\n}\n\nclass Fog {\n\n\tconstructor( color, near = 1, far = 1000 ) {\n\n\t\tthis.isFog = true;\n\n\t\tthis.name = '';\n\n\t\tthis.color = new Color( color );\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Fog( this.color, this.near, this.far );\n\n\t}\n\n\ttoJSON( /* meta */ ) {\n\n\t\treturn {\n\t\t\ttype: 'Fog',\n\t\t\tname: this.name,\n\t\t\tcolor: this.color.getHex(),\n\t\t\tnear: this.near,\n\t\t\tfar: this.far\n\t\t};\n\n\t}\n\n}\n\nclass Scene extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isScene = true;\n\n\t\tthis.type = 'Scene';\n\n\t\tthis.background = null;\n\t\tthis.environment = null;\n\t\tthis.fog = null;\n\n\t\tthis.backgroundBlurriness = 0;\n\t\tthis.backgroundIntensity = 1;\n\n\t\tthis.overrideMaterial = null;\n\n\t\tif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t\t\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'observe', { detail: this } ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.background !== null ) this.background = source.background.clone();\n\t\tif ( source.environment !== null ) this.environment = source.environment.clone();\n\t\tif ( source.fog !== null ) this.fog = source.fog.clone();\n\n\t\tthis.backgroundBlurriness = source.backgroundBlurriness;\n\t\tthis.backgroundIntensity = source.backgroundIntensity;\n\n\t\tif ( source.overrideMaterial !== null ) this.overrideMaterial = source.overrideMaterial.clone();\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.fog !== null ) data.object.fog = this.fog.toJSON();\n\t\tif ( this.backgroundBlurriness > 0 ) data.object.backgroundBlurriness = this.backgroundBlurriness;\n\t\tif ( this.backgroundIntensity !== 1 ) data.object.backgroundIntensity = this.backgroundIntensity;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass InterleavedBuffer {\n\n\tconstructor( array, stride ) {\n\n\t\tthis.isInterleavedBuffer = true;\n\n\t\tthis.array = array;\n\t\tthis.stride = stride;\n\t\tthis.count = array !== undefined ? array.length / stride : 0;\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis._updateRange = { offset: 0, count: - 1 };\n\t\tthis.updateRanges = [];\n\n\t\tthis.version = 0;\n\n\t\tthis.uuid = generateUUID();\n\n\t}\n\n\tonUploadCallback() {}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tget updateRange() {\n\n\t\tconsole.warn( 'THREE.InterleavedBuffer: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead.' ); // @deprecated, r159\n\t\treturn this._updateRange;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\taddUpdateRange( start, count ) {\n\n\t\tthis.updateRanges.push( { start, count } );\n\n\t}\n\n\tclearUpdateRanges() {\n\n\t\tthis.updateRanges.length = 0;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.array = new source.array.constructor( source.array );\n\t\tthis.count = source.count;\n\t\tthis.stride = source.stride;\n\t\tthis.usage = source.usage;\n\n\t\treturn this;\n\n\t}\n\n\tcopyAt( index1, attribute, index2 ) {\n\n\t\tindex1 *= this.stride;\n\t\tindex2 *= attribute.stride;\n\n\t\tfor ( let i = 0, l = this.stride; i < l; i ++ ) {\n\n\t\t\tthis.array[ index1 + i ] = attribute.array[ index2 + i ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tset( value, offset = 0 ) {\n\n\t\tthis.array.set( value, offset );\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tif ( data.arrayBuffers === undefined ) {\n\n\t\t\tdata.arrayBuffers = {};\n\n\t\t}\n\n\t\tif ( this.array.buffer._uuid === undefined ) {\n\n\t\t\tthis.array.buffer._uuid = generateUUID();\n\n\t\t}\n\n\t\tif ( data.arrayBuffers[ this.array.buffer._uuid ] === undefined ) {\n\n\t\t\tdata.arrayBuffers[ this.array.buffer._uuid ] = this.array.slice( 0 ).buffer;\n\n\t\t}\n\n\t\tconst array = new this.array.constructor( data.arrayBuffers[ this.array.buffer._uuid ] );\n\n\t\tconst ib = new this.constructor( array, this.stride );\n\t\tib.setUsage( this.usage );\n\n\t\treturn ib;\n\n\t}\n\n\tonUpload( callback ) {\n\n\t\tthis.onUploadCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tif ( data.arrayBuffers === undefined ) {\n\n\t\t\tdata.arrayBuffers = {};\n\n\t\t}\n\n\t\t// generate UUID for array buffer if necessary\n\n\t\tif ( this.array.buffer._uuid === undefined ) {\n\n\t\t\tthis.array.buffer._uuid = generateUUID();\n\n\t\t}\n\n\t\tif ( data.arrayBuffers[ this.array.buffer._uuid ] === undefined ) {\n\n\t\t\tdata.arrayBuffers[ this.array.buffer._uuid ] = Array.from( new Uint32Array( this.array.buffer ) );\n\n\t\t}\n\n\t\t//\n\n\t\treturn {\n\t\t\tuuid: this.uuid,\n\t\t\tbuffer: this.array.buffer._uuid,\n\t\t\ttype: this.array.constructor.name,\n\t\t\tstride: this.stride\n\t\t};\n\n\t}\n\n}\n\nconst _vector$6 = /*@__PURE__*/ new Vector3();\n\nclass InterleavedBufferAttribute {\n\n\tconstructor( interleavedBuffer, itemSize, offset, normalized = false ) {\n\n\t\tthis.isInterleavedBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.data = interleavedBuffer;\n\t\tthis.itemSize = itemSize;\n\t\tthis.offset = offset;\n\n\t\tthis.normalized = normalized;\n\n\t}\n\n\tget count() {\n\n\t\treturn this.data.count;\n\n\t}\n\n\tget array() {\n\n\t\treturn this.data.array;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tthis.data.needsUpdate = value;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tfor ( let i = 0, l = this.data.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.applyMatrix4( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.applyNormalMatrix( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.transformDirection( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset ] = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = this.data.array[ index * this.data.stride + this.offset ];\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = this.data.array[ index * this.data.stride + this.offset + 1 ];\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = this.data.array[ index * this.data.stride + this.offset + 2 ];\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = this.data.array[ index * this.data.stride + this.offset + 3 ];\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\t\tthis.data.array[ index + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\t\tthis.data.array[ index + 2 ] = z;\n\t\tthis.data.array[ index + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tif ( data === undefined ) {\n\n\t\t\tconsole.log( 'THREE.InterleavedBufferAttribute.clone(): Cloning an interleaved buffer attribute will de-interleave buffer data.' );\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0; i < this.count; i ++ ) {\n\n\t\t\t\tconst index = i * this.data.stride + this.offset;\n\n\t\t\t\tfor ( let j = 0; j < this.itemSize; j ++ ) {\n\n\t\t\t\t\tarray.push( this.data.array[ index + j ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn new BufferAttribute( new this.array.constructor( array ), this.itemSize, this.normalized );\n\n\t\t} else {\n\n\t\t\tif ( data.interleavedBuffers === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers = {};\n\n\t\t\t}\n\n\t\t\tif ( data.interleavedBuffers[ this.data.uuid ] === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers[ this.data.uuid ] = this.data.clone( data );\n\n\t\t\t}\n\n\t\t\treturn new InterleavedBufferAttribute( data.interleavedBuffers[ this.data.uuid ], this.itemSize, this.offset, this.normalized );\n\n\t\t}\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tif ( data === undefined ) {\n\n\t\t\tconsole.log( 'THREE.InterleavedBufferAttribute.toJSON(): Serializing an interleaved buffer attribute will de-interleave buffer data.' );\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0; i < this.count; i ++ ) {\n\n\t\t\t\tconst index = i * this.data.stride + this.offset;\n\n\t\t\t\tfor ( let j = 0; j < this.itemSize; j ++ ) {\n\n\t\t\t\t\tarray.push( this.data.array[ index + j ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// de-interleave data and save it as an ordinary buffer attribute for now\n\n\t\t\treturn {\n\t\t\t\titemSize: this.itemSize,\n\t\t\t\ttype: this.array.constructor.name,\n\t\t\t\tarray: array,\n\t\t\t\tnormalized: this.normalized\n\t\t\t};\n\n\t\t} else {\n\n\t\t\t// save as true interleaved attribute\n\n\t\t\tif ( data.interleavedBuffers === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers = {};\n\n\t\t\t}\n\n\t\t\tif ( data.interleavedBuffers[ this.data.uuid ] === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers[ this.data.uuid ] = this.data.toJSON( data );\n\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tisInterleavedBufferAttribute: true,\n\t\t\t\titemSize: this.itemSize,\n\t\t\t\tdata: this.data.uuid,\n\t\t\t\toffset: this.offset,\n\t\t\t\tnormalized: this.normalized\n\t\t\t};\n\n\t\t}\n\n\t}\n\n}\n\nclass SpriteMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isSpriteMaterial = true;\n\n\t\tthis.type = 'SpriteMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.rotation = 0;\n\n\t\tthis.sizeAttenuation = true;\n\n\t\tthis.transparent = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.rotation = source.rotation;\n\n\t\tthis.sizeAttenuation = source.sizeAttenuation;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nlet _geometry;\n\nconst _intersectPoint = /*@__PURE__*/ new Vector3();\nconst _worldScale = /*@__PURE__*/ new Vector3();\nconst _mvPosition = /*@__PURE__*/ new Vector3();\n\nconst _alignedPosition = /*@__PURE__*/ new Vector2();\nconst _rotatedPosition = /*@__PURE__*/ new Vector2();\nconst _viewWorldMatrix = /*@__PURE__*/ new Matrix4();\n\nconst _vA = /*@__PURE__*/ new Vector3();\nconst _vB = /*@__PURE__*/ new Vector3();\nconst _vC = /*@__PURE__*/ new Vector3();\n\nconst _uvA = /*@__PURE__*/ new Vector2();\nconst _uvB = /*@__PURE__*/ new Vector2();\nconst _uvC = /*@__PURE__*/ new Vector2();\n\nclass Sprite extends Object3D {\n\n\tconstructor( material = new SpriteMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isSprite = true;\n\n\t\tthis.type = 'Sprite';\n\n\t\tif ( _geometry === undefined ) {\n\n\t\t\t_geometry = new BufferGeometry();\n\n\t\t\tconst float32Array = new Float32Array( [\n\t\t\t\t- 0.5, - 0.5, 0, 0, 0,\n\t\t\t\t0.5, - 0.5, 0, 1, 0,\n\t\t\t\t0.5, 0.5, 0, 1, 1,\n\t\t\t\t- 0.5, 0.5, 0, 0, 1\n\t\t\t] );\n\n\t\t\tconst interleavedBuffer = new InterleavedBuffer( float32Array, 5 );\n\n\t\t\t_geometry.setIndex( [ 0, 1, 2,\t0, 2, 3 ] );\n\t\t\t_geometry.setAttribute( 'position', new InterleavedBufferAttribute( interleavedBuffer, 3, 0, false ) );\n\t\t\t_geometry.setAttribute( 'uv', new InterleavedBufferAttribute( interleavedBuffer, 2, 3, false ) );\n\n\t\t}\n\n\t\tthis.geometry = _geometry;\n\t\tthis.material = material;\n\n\t\tthis.center = new Vector2( 0.5, 0.5 );\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tif ( raycaster.camera === null ) {\n\n\t\t\tconsole.error( 'THREE.Sprite: \"Raycaster.camera\" needs to be set in order to raycast against sprites.' );\n\n\t\t}\n\n\t\t_worldScale.setFromMatrixScale( this.matrixWorld );\n\n\t\t_viewWorldMatrix.copy( raycaster.camera.matrixWorld );\n\t\tthis.modelViewMatrix.multiplyMatrices( raycaster.camera.matrixWorldInverse, this.matrixWorld );\n\n\t\t_mvPosition.setFromMatrixPosition( this.modelViewMatrix );\n\n\t\tif ( raycaster.camera.isPerspectiveCamera && this.material.sizeAttenuation === false ) {\n\n\t\t\t_worldScale.multiplyScalar( - _mvPosition.z );\n\n\t\t}\n\n\t\tconst rotation = this.material.rotation;\n\t\tlet sin, cos;\n\n\t\tif ( rotation !== 0 ) {\n\n\t\t\tcos = Math.cos( rotation );\n\t\t\tsin = Math.sin( rotation );\n\n\t\t}\n\n\t\tconst center = this.center;\n\n\t\ttransformVertex( _vA.set( - 0.5, - 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\ttransformVertex( _vB.set( 0.5, - 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\ttransformVertex( _vC.set( 0.5, 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\n\t\t_uvA.set( 0, 0 );\n\t\t_uvB.set( 1, 0 );\n\t\t_uvC.set( 1, 1 );\n\n\t\t// check first triangle\n\t\tlet intersect = raycaster.ray.intersectTriangle( _vA, _vB, _vC, false, _intersectPoint );\n\n\t\tif ( intersect === null ) {\n\n\t\t\t// check second triangle\n\t\t\ttransformVertex( _vB.set( - 0.5, 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\t\t_uvB.set( 0, 1 );\n\n\t\t\tintersect = raycaster.ray.intersectTriangle( _vA, _vC, _vB, false, _intersectPoint );\n\t\t\tif ( intersect === null ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst distance = raycaster.ray.origin.distanceTo( _intersectPoint );\n\n\t\tif ( distance < raycaster.near || distance > raycaster.far ) return;\n\n\t\tintersects.push( {\n\n\t\t\tdistance: distance,\n\t\t\tpoint: _intersectPoint.clone(),\n\t\t\tuv: Triangle.getInterpolation( _intersectPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2() ),\n\t\t\tface: null,\n\t\t\tobject: this\n\n\t\t} );\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.center !== undefined ) this.center.copy( source.center );\n\n\t\tthis.material = source.material;\n\n\t\treturn this;\n\n\t}\n\n}\n\nfunction transformVertex( vertexPosition, mvPosition, center, scale, sin, cos ) {\n\n\t// compute position in camera space\n\t_alignedPosition.subVectors( vertexPosition, center ).addScalar( 0.5 ).multiply( scale );\n\n\t// to check if rotation is not zero\n\tif ( sin !== undefined ) {\n\n\t\t_rotatedPosition.x = ( cos * _alignedPosition.x ) - ( sin * _alignedPosition.y );\n\t\t_rotatedPosition.y = ( sin * _alignedPosition.x ) + ( cos * _alignedPosition.y );\n\n\t} else {\n\n\t\t_rotatedPosition.copy( _alignedPosition );\n\n\t}\n\n\n\tvertexPosition.copy( mvPosition );\n\tvertexPosition.x += _rotatedPosition.x;\n\tvertexPosition.y += _rotatedPosition.y;\n\n\t// transform to world space\n\tvertexPosition.applyMatrix4( _viewWorldMatrix );\n\n}\n\nconst _v1$2 = /*@__PURE__*/ new Vector3();\nconst _v2$1 = /*@__PURE__*/ new Vector3();\n\nclass LOD extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis._currentLevel = 0;\n\n\t\tthis.type = 'LOD';\n\n\t\tObject.defineProperties( this, {\n\t\t\tlevels: {\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: []\n\t\t\t},\n\t\t\tisLOD: {\n\t\t\t\tvalue: true,\n\t\t\t}\n\t\t} );\n\n\t\tthis.autoUpdate = true;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source, false );\n\n\t\tconst levels = source.levels;\n\n\t\tfor ( let i = 0, l = levels.length; i < l; i ++ ) {\n\n\t\t\tconst level = levels[ i ];\n\n\t\t\tthis.addLevel( level.object.clone(), level.distance, level.hysteresis );\n\n\t\t}\n\n\t\tthis.autoUpdate = source.autoUpdate;\n\n\t\treturn this;\n\n\t}\n\n\taddLevel( object, distance = 0, hysteresis = 0 ) {\n\n\t\tdistance = Math.abs( distance );\n\n\t\tconst levels = this.levels;\n\n\t\tlet l;\n\n\t\tfor ( l = 0; l < levels.length; l ++ ) {\n\n\t\t\tif ( distance < levels[ l ].distance ) {\n\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlevels.splice( l, 0, { distance: distance, hysteresis: hysteresis, object: object } );\n\n\t\tthis.add( object );\n\n\t\treturn this;\n\n\t}\n\n\tgetCurrentLevel() {\n\n\t\treturn this._currentLevel;\n\n\t}\n\n\n\n\tgetObjectForDistance( distance ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 0 ) {\n\n\t\t\tlet i, l;\n\n\t\t\tfor ( i = 1, l = levels.length; i < l; i ++ ) {\n\n\t\t\t\tlet levelDistance = levels[ i ].distance;\n\n\t\t\t\tif ( levels[ i ].object.visible ) {\n\n\t\t\t\t\tlevelDistance -= levelDistance * levels[ i ].hysteresis;\n\n\t\t\t\t}\n\n\t\t\t\tif ( distance < levelDistance ) {\n\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn levels[ i - 1 ].object;\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 0 ) {\n\n\t\t\t_v1$2.setFromMatrixPosition( this.matrixWorld );\n\n\t\t\tconst distance = raycaster.ray.origin.distanceTo( _v1$2 );\n\n\t\t\tthis.getObjectForDistance( distance ).raycast( raycaster, intersects );\n\n\t\t}\n\n\t}\n\n\tupdate( camera ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 1 ) {\n\n\t\t\t_v1$2.setFromMatrixPosition( camera.matrixWorld );\n\t\t\t_v2$1.setFromMatrixPosition( this.matrixWorld );\n\n\t\t\tconst distance = _v1$2.distanceTo( _v2$1 ) / camera.zoom;\n\n\t\t\tlevels[ 0 ].object.visible = true;\n\n\t\t\tlet i, l;\n\n\t\t\tfor ( i = 1, l = levels.length; i < l; i ++ ) {\n\n\t\t\t\tlet levelDistance = levels[ i ].distance;\n\n\t\t\t\tif ( levels[ i ].object.visible ) {\n\n\t\t\t\t\tlevelDistance -= levelDistance * levels[ i ].hysteresis;\n\n\t\t\t\t}\n\n\t\t\t\tif ( distance >= levelDistance ) {\n\n\t\t\t\t\tlevels[ i - 1 ].object.visible = false;\n\t\t\t\t\tlevels[ i ].object.visible = true;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._currentLevel = i - 1;\n\n\t\t\tfor ( ; i < l; i ++ ) {\n\n\t\t\t\tlevels[ i ].object.visible = false;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.autoUpdate === false ) data.object.autoUpdate = false;\n\n\t\tdata.object.levels = [];\n\n\t\tconst levels = this.levels;\n\n\t\tfor ( let i = 0, l = levels.length; i < l; i ++ ) {\n\n\t\t\tconst level = levels[ i ];\n\n\t\t\tdata.object.levels.push( {\n\t\t\t\tobject: level.object.uuid,\n\t\t\t\tdistance: level.distance,\n\t\t\t\thysteresis: level.hysteresis\n\t\t\t} );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst _basePosition = /*@__PURE__*/ new Vector3();\n\nconst _skinIndex = /*@__PURE__*/ new Vector4();\nconst _skinWeight = /*@__PURE__*/ new Vector4();\n\nconst _vector3 = /*@__PURE__*/ new Vector3();\nconst _matrix4 = /*@__PURE__*/ new Matrix4();\nconst _vertex = /*@__PURE__*/ new Vector3();\n\nconst _sphere$4 = /*@__PURE__*/ new Sphere();\nconst _inverseMatrix$2 = /*@__PURE__*/ new Matrix4();\nconst _ray$2 = /*@__PURE__*/ new Ray();\n\nclass SkinnedMesh extends Mesh {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isSkinnedMesh = true;\n\n\t\tthis.type = 'SkinnedMesh';\n\n\t\tthis.bindMode = AttachedBindMode;\n\t\tthis.bindMatrix = new Matrix4();\n\t\tthis.bindMatrixInverse = new Matrix4();\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tthis.boundingBox.makeEmpty();\n\n\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0; i < positionAttribute.count; i ++ ) {\n\n\t\t\tthis.getVertexPosition( i, _vertex );\n\t\t\tthis.boundingBox.expandByPoint( _vertex );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tthis.boundingSphere.makeEmpty();\n\n\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0; i < positionAttribute.count; i ++ ) {\n\n\t\t\tthis.getVertexPosition( i, _vertex );\n\t\t\tthis.boundingSphere.expandByPoint( _vertex );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.bindMode = source.bindMode;\n\t\tthis.bindMatrix.copy( source.bindMatrix );\n\t\tthis.bindMatrixInverse.copy( source.bindMatrixInverse );\n\n\t\tthis.skeleton = source.skeleton;\n\n\t\tif ( source.boundingBox !== null ) this.boundingBox = source.boundingBox.clone();\n\t\tif ( source.boundingSphere !== null ) this.boundingSphere = source.boundingSphere.clone();\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst material = this.material;\n\t\tconst matrixWorld = this.matrixWorld;\n\n\t\tif ( material === undefined ) return;\n\n\t\t// test with bounding sphere in world space\n\n\t\tif ( this.boundingSphere === null ) this.computeBoundingSphere();\n\n\t\t_sphere$4.copy( this.boundingSphere );\n\t\t_sphere$4.applyMatrix4( matrixWorld );\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$4 ) === false ) return;\n\n\t\t// convert ray to local space of skinned mesh\n\n\t\t_inverseMatrix$2.copy( matrixWorld ).invert();\n\t\t_ray$2.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$2 );\n\n\t\t// test with bounding box in local space\n\n\t\tif ( this.boundingBox !== null ) {\n\n\t\t\tif ( _ray$2.intersectsBox( this.boundingBox ) === false ) return;\n\n\t\t}\n\n\t\t// test for intersections with geometry\n\n\t\tthis._computeIntersections( raycaster, intersects, _ray$2 );\n\n\t}\n\n\tgetVertexPosition( index, target ) {\n\n\t\tsuper.getVertexPosition( index, target );\n\n\t\tthis.applyBoneTransform( index, target );\n\n\t\treturn target;\n\n\t}\n\n\tbind( skeleton, bindMatrix ) {\n\n\t\tthis.skeleton = skeleton;\n\n\t\tif ( bindMatrix === undefined ) {\n\n\t\t\tthis.updateMatrixWorld( true );\n\n\t\t\tthis.skeleton.calculateInverses();\n\n\t\t\tbindMatrix = this.matrixWorld;\n\n\t\t}\n\n\t\tthis.bindMatrix.copy( bindMatrix );\n\t\tthis.bindMatrixInverse.copy( bindMatrix ).invert();\n\n\t}\n\n\tpose() {\n\n\t\tthis.skeleton.pose();\n\n\t}\n\n\tnormalizeSkinWeights() {\n\n\t\tconst vector = new Vector4();\n\n\t\tconst skinWeight = this.geometry.attributes.skinWeight;\n\n\t\tfor ( let i = 0, l = skinWeight.count; i < l; i ++ ) {\n\n\t\t\tvector.fromBufferAttribute( skinWeight, i );\n\n\t\t\tconst scale = 1.0 / vector.manhattanLength();\n\n\t\t\tif ( scale !== Infinity ) {\n\n\t\t\t\tvector.multiplyScalar( scale );\n\n\t\t\t} else {\n\n\t\t\t\tvector.set( 1, 0, 0, 0 ); // do something reasonable\n\n\t\t\t}\n\n\t\t\tskinWeight.setXYZW( i, vector.x, vector.y, vector.z, vector.w );\n\n\t\t}\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tif ( this.bindMode === AttachedBindMode ) {\n\n\t\t\tthis.bindMatrixInverse.copy( this.matrixWorld ).invert();\n\n\t\t} else if ( this.bindMode === DetachedBindMode ) {\n\n\t\t\tthis.bindMatrixInverse.copy( this.bindMatrix ).invert();\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.SkinnedMesh: Unrecognized bindMode: ' + this.bindMode );\n\n\t\t}\n\n\t}\n\n\tapplyBoneTransform( index, vector ) {\n\n\t\tconst skeleton = this.skeleton;\n\t\tconst geometry = this.geometry;\n\n\t\t_skinIndex.fromBufferAttribute( geometry.attributes.skinIndex, index );\n\t\t_skinWeight.fromBufferAttribute( geometry.attributes.skinWeight, index );\n\n\t\t_basePosition.copy( vector ).applyMatrix4( this.bindMatrix );\n\n\t\tvector.set( 0, 0, 0 );\n\n\t\tfor ( let i = 0; i < 4; i ++ ) {\n\n\t\t\tconst weight = _skinWeight.getComponent( i );\n\n\t\t\tif ( weight !== 0 ) {\n\n\t\t\t\tconst boneIndex = _skinIndex.getComponent( i );\n\n\t\t\t\t_matrix4.multiplyMatrices( skeleton.bones[ boneIndex ].matrixWorld, skeleton.boneInverses[ boneIndex ] );\n\n\t\t\t\tvector.addScaledVector( _vector3.copy( _basePosition ).applyMatrix4( _matrix4 ), weight );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn vector.applyMatrix4( this.bindMatrixInverse );\n\n\t}\n\n\tboneTransform( index, vector ) { // @deprecated, r151\n\n\t\tconsole.warn( 'THREE.SkinnedMesh: .boneTransform() was renamed to .applyBoneTransform() in r151.' );\n\t\treturn this.applyBoneTransform( index, vector );\n\n\t}\n\n\n}\n\nclass Bone extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isBone = true;\n\n\t\tthis.type = 'Bone';\n\n\t}\n\n}\n\nclass DataTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, format, type, mapping, wrapS, wrapT, magFilter = NearestFilter, minFilter = NearestFilter, anisotropy, colorSpace ) {\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isDataTexture = true;\n\n\t\tthis.image = { data: data, width: width, height: height };\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nconst _offsetMatrix = /*@__PURE__*/ new Matrix4();\nconst _identityMatrix$1 = /*@__PURE__*/ new Matrix4();\n\nclass Skeleton {\n\n\tconstructor( bones = [], boneInverses = [] ) {\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.bones = bones.slice( 0 );\n\t\tthis.boneInverses = boneInverses;\n\t\tthis.boneMatrices = null;\n\n\t\tthis.boneTexture = null;\n\n\t\tthis.init();\n\n\t}\n\n\tinit() {\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\n\t\tthis.boneMatrices = new Float32Array( bones.length * 16 );\n\n\t\t// calculate inverse bone matrices if necessary\n\n\t\tif ( boneInverses.length === 0 ) {\n\n\t\t\tthis.calculateInverses();\n\n\t\t} else {\n\n\t\t\t// handle special case\n\n\t\t\tif ( bones.length !== boneInverses.length ) {\n\n\t\t\t\tconsole.warn( 'THREE.Skeleton: Number of inverse bone matrices does not match amount of bones.' );\n\n\t\t\t\tthis.boneInverses = [];\n\n\t\t\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\t\t\tthis.boneInverses.push( new Matrix4() );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcalculateInverses() {\n\n\t\tthis.boneInverses.length = 0;\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst inverse = new Matrix4();\n\n\t\t\tif ( this.bones[ i ] ) {\n\n\t\t\t\tinverse.copy( this.bones[ i ].matrixWorld ).invert();\n\n\t\t\t}\n\n\t\t\tthis.boneInverses.push( inverse );\n\n\t\t}\n\n\t}\n\n\tpose() {\n\n\t\t// recover the bind-time world matrices\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone ) {\n\n\t\t\t\tbone.matrixWorld.copy( this.boneInverses[ i ] ).invert();\n\n\t\t\t}\n\n\t\t}\n\n\t\t// compute the local matrices, positions, rotations and scales\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone ) {\n\n\t\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\t\tbone.matrix.copy( bone.parent.matrixWorld ).invert();\n\t\t\t\t\tbone.matrix.multiply( bone.matrixWorld );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbone.matrix.copy( bone.matrixWorld );\n\n\t\t\t\t}\n\n\t\t\t\tbone.matrix.decompose( bone.position, bone.quaternion, bone.scale );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdate() {\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\t\tconst boneMatrices = this.boneMatrices;\n\t\tconst boneTexture = this.boneTexture;\n\n\t\t// flatten bone matrices to array\n\n\t\tfor ( let i = 0, il = bones.length; i < il; i ++ ) {\n\n\t\t\t// compute the offset between the current and the original transform\n\n\t\t\tconst matrix = bones[ i ] ? bones[ i ].matrixWorld : _identityMatrix$1;\n\n\t\t\t_offsetMatrix.multiplyMatrices( matrix, boneInverses[ i ] );\n\t\t\t_offsetMatrix.toArray( boneMatrices, i * 16 );\n\n\t\t}\n\n\t\tif ( boneTexture !== null ) {\n\n\t\t\tboneTexture.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new Skeleton( this.bones, this.boneInverses );\n\n\t}\n\n\tcomputeBoneTexture() {\n\n\t\t// layout (1 matrix = 4 pixels)\n\t\t// RGBA RGBA RGBA RGBA (=> column1, column2, column3, column4)\n\t\t// with 8x8 pixel texture max 16 bones * 4 pixels = (8 * 8)\n\t\t// 16x16 pixel texture max 64 bones * 4 pixels = (16 * 16)\n\t\t// 32x32 pixel texture max 256 bones * 4 pixels = (32 * 32)\n\t\t// 64x64 pixel texture max 1024 bones * 4 pixels = (64 * 64)\n\n\t\tlet size = Math.sqrt( this.bones.length * 4 ); // 4 pixels needed for 1 matrix\n\t\tsize = Math.ceil( size / 4 ) * 4;\n\t\tsize = Math.max( size, 4 );\n\n\t\tconst boneMatrices = new Float32Array( size * size * 4 ); // 4 floats per RGBA pixel\n\t\tboneMatrices.set( this.boneMatrices ); // copy current values\n\n\t\tconst boneTexture = new DataTexture( boneMatrices, size, size, RGBAFormat, FloatType );\n\t\tboneTexture.needsUpdate = true;\n\n\t\tthis.boneMatrices = boneMatrices;\n\t\tthis.boneTexture = boneTexture;\n\n\t\treturn this;\n\n\t}\n\n\tgetBoneByName( name ) {\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone.name === name ) {\n\n\t\t\t\treturn bone;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn undefined;\n\n\t}\n\n\tdispose( ) {\n\n\t\tif ( this.boneTexture !== null ) {\n\n\t\t\tthis.boneTexture.dispose();\n\n\t\t\tthis.boneTexture = null;\n\n\t\t}\n\n\t}\n\n\tfromJSON( json, bones ) {\n\n\t\tthis.uuid = json.uuid;\n\n\t\tfor ( let i = 0, l = json.bones.length; i < l; i ++ ) {\n\n\t\t\tconst uuid = json.bones[ i ];\n\t\t\tlet bone = bones[ uuid ];\n\n\t\t\tif ( bone === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.Skeleton: No bone found with UUID:', uuid );\n\t\t\t\tbone = new Bone();\n\n\t\t\t}\n\n\t\t\tthis.bones.push( bone );\n\t\t\tthis.boneInverses.push( new Matrix4().fromArray( json.boneInverses[ i ] ) );\n\n\t\t}\n\n\t\tthis.init();\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Skeleton',\n\t\t\t\tgenerator: 'Skeleton.toJSON'\n\t\t\t},\n\t\t\tbones: [],\n\t\t\tboneInverses: []\n\t\t};\n\n\t\tdata.uuid = this.uuid;\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\n\t\tfor ( let i = 0, l = bones.length; i < l; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\t\t\tdata.bones.push( bone.uuid );\n\n\t\t\tconst boneInverse = boneInverses[ i ];\n\t\t\tdata.boneInverses.push( boneInverse.toArray() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass InstancedBufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized, meshPerAttribute = 1 ) {\n\n\t\tsuper( array, itemSize, normalized );\n\n\t\tthis.isInstancedBufferAttribute = true;\n\n\t\tthis.meshPerAttribute = meshPerAttribute;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.meshPerAttribute = source.meshPerAttribute;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.meshPerAttribute = this.meshPerAttribute;\n\n\t\tdata.isInstancedBufferAttribute = true;\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst _instanceLocalMatrix = /*@__PURE__*/ new Matrix4();\nconst _instanceWorldMatrix = /*@__PURE__*/ new Matrix4();\n\nconst _instanceIntersects = [];\n\nconst _box3 = /*@__PURE__*/ new Box3();\nconst _identity = /*@__PURE__*/ new Matrix4();\nconst _mesh$1 = /*@__PURE__*/ new Mesh();\nconst _sphere$3 = /*@__PURE__*/ new Sphere();\n\nclass InstancedMesh extends Mesh {\n\n\tconstructor( geometry, material, count ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isInstancedMesh = true;\n\n\t\tthis.instanceMatrix = new InstancedBufferAttribute( new Float32Array( count * 16 ), 16 );\n\t\tthis.instanceColor = null;\n\n\t\tthis.count = count;\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.setMatrixAt( i, _identity );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst count = this.count;\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tif ( geometry.boundingBox === null ) {\n\n\t\t\tgeometry.computeBoundingBox();\n\n\t\t}\n\n\t\tthis.boundingBox.makeEmpty();\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.getMatrixAt( i, _instanceLocalMatrix );\n\n\t\t\t_box3.copy( geometry.boundingBox ).applyMatrix4( _instanceLocalMatrix );\n\n\t\t\tthis.boundingBox.union( _box3 );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst count = this.count;\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tif ( geometry.boundingSphere === null ) {\n\n\t\t\tgeometry.computeBoundingSphere();\n\n\t\t}\n\n\t\tthis.boundingSphere.makeEmpty();\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.getMatrixAt( i, _instanceLocalMatrix );\n\n\t\t\t_sphere$3.copy( geometry.boundingSphere ).applyMatrix4( _instanceLocalMatrix );\n\n\t\t\tthis.boundingSphere.union( _sphere$3 );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.instanceMatrix.copy( source.instanceMatrix );\n\n\t\tif ( source.instanceColor !== null ) this.instanceColor = source.instanceColor.clone();\n\n\t\tthis.count = source.count;\n\n\t\tif ( source.boundingBox !== null ) this.boundingBox = source.boundingBox.clone();\n\t\tif ( source.boundingSphere !== null ) this.boundingSphere = source.boundingSphere.clone();\n\n\t\treturn this;\n\n\t}\n\n\tgetColorAt( index, color ) {\n\n\t\tcolor.fromArray( this.instanceColor.array, index * 3 );\n\n\t}\n\n\tgetMatrixAt( index, matrix ) {\n\n\t\tmatrix.fromArray( this.instanceMatrix.array, index * 16 );\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst raycastTimes = this.count;\n\n\t\t_mesh$1.geometry = this.geometry;\n\t\t_mesh$1.material = this.material;\n\n\t\tif ( _mesh$1.material === undefined ) return;\n\n\t\t// test with bounding sphere first\n\n\t\tif ( this.boundingSphere === null ) this.computeBoundingSphere();\n\n\t\t_sphere$3.copy( this.boundingSphere );\n\t\t_sphere$3.applyMatrix4( matrixWorld );\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$3 ) === false ) return;\n\n\t\t// now test each instance\n\n\t\tfor ( let instanceId = 0; instanceId < raycastTimes; instanceId ++ ) {\n\n\t\t\t// calculate the world matrix for each instance\n\n\t\t\tthis.getMatrixAt( instanceId, _instanceLocalMatrix );\n\n\t\t\t_instanceWorldMatrix.multiplyMatrices( matrixWorld, _instanceLocalMatrix );\n\n\t\t\t// the mesh represents this single instance\n\n\t\t\t_mesh$1.matrixWorld = _instanceWorldMatrix;\n\n\t\t\t_mesh$1.raycast( raycaster, _instanceIntersects );\n\n\t\t\t// process the result of raycast\n\n\t\t\tfor ( let i = 0, l = _instanceIntersects.length; i < l; i ++ ) {\n\n\t\t\t\tconst intersect = _instanceIntersects[ i ];\n\t\t\t\tintersect.instanceId = instanceId;\n\t\t\t\tintersect.object = this;\n\t\t\t\tintersects.push( intersect );\n\n\t\t\t}\n\n\t\t\t_instanceIntersects.length = 0;\n\n\t\t}\n\n\t}\n\n\tsetColorAt( index, color ) {\n\n\t\tif ( this.instanceColor === null ) {\n\n\t\t\tthis.instanceColor = new InstancedBufferAttribute( new Float32Array( this.instanceMatrix.count * 3 ), 3 );\n\n\t\t}\n\n\t\tcolor.toArray( this.instanceColor.array, index * 3 );\n\n\t}\n\n\tsetMatrixAt( index, matrix ) {\n\n\t\tmatrix.toArray( this.instanceMatrix.array, index * 16 );\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nfunction sortOpaque( a, b ) {\n\n\treturn a.z - b.z;\n\n}\n\nfunction sortTransparent( a, b ) {\n\n\treturn b.z - a.z;\n\n}\n\nclass MultiDrawRenderList {\n\n\tconstructor() {\n\n\t\tthis.index = 0;\n\t\tthis.pool = [];\n\t\tthis.list = [];\n\n\t}\n\n\tpush( drawRange, z ) {\n\n\t\tconst pool = this.pool;\n\t\tconst list = this.list;\n\t\tif ( this.index >= pool.length ) {\n\n\t\t\tpool.push( {\n\n\t\t\t\tstart: - 1,\n\t\t\t\tcount: - 1,\n\t\t\t\tz: - 1,\n\n\t\t\t} );\n\n\t\t}\n\n\t\tconst item = pool[ this.index ];\n\t\tlist.push( item );\n\t\tthis.index ++;\n\n\t\titem.start = drawRange.start;\n\t\titem.count = drawRange.count;\n\t\titem.z = z;\n\n\t}\n\n\treset() {\n\n\t\tthis.list.length = 0;\n\t\tthis.index = 0;\n\n\t}\n\n}\n\nconst ID_ATTR_NAME = 'batchId';\nconst _matrix = /*@__PURE__*/ new Matrix4();\nconst _invMatrixWorld = /*@__PURE__*/ new Matrix4();\nconst _identityMatrix = /*@__PURE__*/ new Matrix4();\nconst _projScreenMatrix$2 = /*@__PURE__*/ new Matrix4();\nconst _frustum = /*@__PURE__*/ new Frustum();\nconst _box$1 = /*@__PURE__*/ new Box3();\nconst _sphere$2 = /*@__PURE__*/ new Sphere();\nconst _vector$5 = /*@__PURE__*/ new Vector3();\nconst _renderList = /*@__PURE__*/ new MultiDrawRenderList();\nconst _mesh = /*@__PURE__*/ new Mesh();\nconst _batchIntersects = [];\n\n// @TODO: SkinnedMesh support?\n// @TODO: geometry.groups support?\n// @TODO: geometry.drawRange support?\n// @TODO: geometry.morphAttributes support?\n// @TODO: Support uniform parameter per geometry\n// @TODO: Add an \"optimize\" function to pack geometry and remove data gaps\n\n// copies data from attribute \"src\" into \"target\" starting at \"targetOffset\"\nfunction copyAttributeData( src, target, targetOffset = 0 ) {\n\n\tconst itemSize = target.itemSize;\n\tif ( src.isInterleavedBufferAttribute || src.array.constructor !== target.array.constructor ) {\n\n\t\t// use the component getters and setters if the array data cannot\n\t\t// be copied directly\n\t\tconst vertexCount = src.count;\n\t\tfor ( let i = 0; i < vertexCount; i ++ ) {\n\n\t\t\tfor ( let c = 0; c < itemSize; c ++ ) {\n\n\t\t\t\ttarget.setComponent( i + targetOffset, c, src.getComponent( i, c ) );\n\n\t\t\t}\n\n\t\t}\n\n\t} else {\n\n\t\t// faster copy approach using typed array set function\n\t\ttarget.array.set( src.array, targetOffset * itemSize );\n\n\t}\n\n\ttarget.needsUpdate = true;\n\n}\n\nclass BatchedMesh extends Mesh {\n\n\tget maxGeometryCount() {\n\n\t\treturn this._maxGeometryCount;\n\n\t}\n\n\tconstructor( maxGeometryCount, maxVertexCount, maxIndexCount = maxVertexCount * 2, material ) {\n\n\t\tsuper( new BufferGeometry(), material );\n\n\t\tthis.isBatchedMesh = true;\n\t\tthis.perObjectFrustumCulled = true;\n\t\tthis.sortObjects = true;\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\t\tthis.customSort = null;\n\n\t\tthis._drawRanges = [];\n\t\tthis._reservedRanges = [];\n\n\t\tthis._visibility = [];\n\t\tthis._active = [];\n\t\tthis._bounds = [];\n\n\t\tthis._maxGeometryCount = maxGeometryCount;\n\t\tthis._maxVertexCount = maxVertexCount;\n\t\tthis._maxIndexCount = maxIndexCount;\n\n\t\tthis._geometryInitialized = false;\n\t\tthis._geometryCount = 0;\n\t\tthis._multiDrawCounts = new Int32Array( maxGeometryCount );\n\t\tthis._multiDrawStarts = new Int32Array( maxGeometryCount );\n\t\tthis._multiDrawCount = 0;\n\t\tthis._visibilityChanged = true;\n\n\t\t// Local matrix per geometry by using data texture\n\t\tthis._matricesTexture = null;\n\n\t\tthis._initMatricesTexture();\n\n\t}\n\n\t_initMatricesTexture() {\n\n\t\t// layout (1 matrix = 4 pixels)\n\t\t// RGBA RGBA RGBA RGBA (=> column1, column2, column3, column4)\n\t\t// with 8x8 pixel texture max 16 matrices * 4 pixels = (8 * 8)\n\t\t// 16x16 pixel texture max 64 matrices * 4 pixels = (16 * 16)\n\t\t// 32x32 pixel texture max 256 matrices * 4 pixels = (32 * 32)\n\t\t// 64x64 pixel texture max 1024 matrices * 4 pixels = (64 * 64)\n\n\t\tlet size = Math.sqrt( this._maxGeometryCount * 4 ); // 4 pixels needed for 1 matrix\n\t\tsize = Math.ceil( size / 4 ) * 4;\n\t\tsize = Math.max( size, 4 );\n\n\t\tconst matricesArray = new Float32Array( size * size * 4 ); // 4 floats per RGBA pixel\n\t\tconst matricesTexture = new DataTexture( matricesArray, size, size, RGBAFormat, FloatType );\n\n\t\tthis._matricesTexture = matricesTexture;\n\n\t}\n\n\t_initializeGeometry( reference ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst maxVertexCount = this._maxVertexCount;\n\t\tconst maxGeometryCount = this._maxGeometryCount;\n\t\tconst maxIndexCount = this._maxIndexCount;\n\t\tif ( this._geometryInitialized === false ) {\n\n\t\t\tfor ( const attributeName in reference.attributes ) {\n\n\t\t\t\tconst srcAttribute = reference.getAttribute( attributeName );\n\t\t\t\tconst { array, itemSize, normalized } = srcAttribute;\n\n\t\t\t\tconst dstArray = new array.constructor( maxVertexCount * itemSize );\n\t\t\t\tconst dstAttribute = new srcAttribute.constructor( dstArray, itemSize, normalized );\n\t\t\t\tdstAttribute.setUsage( srcAttribute.usage );\n\n\t\t\t\tgeometry.setAttribute( attributeName, dstAttribute );\n\n\t\t\t}\n\n\t\t\tif ( reference.getIndex() !== null ) {\n\n\t\t\t\tconst indexArray = maxVertexCount > 65536\n\t\t\t\t\t? new Uint32Array( maxIndexCount )\n\t\t\t\t\t: new Uint16Array( maxIndexCount );\n\n\t\t\t\tgeometry.setIndex( new BufferAttribute( indexArray, 1 ) );\n\n\t\t\t}\n\n\t\t\tconst idArray = maxGeometryCount > 65536\n\t\t\t\t? new Uint32Array( maxVertexCount )\n\t\t\t\t: new Uint16Array( maxVertexCount );\n\t\t\tgeometry.setAttribute( ID_ATTR_NAME, new BufferAttribute( idArray, 1 ) );\n\n\t\t\tthis._geometryInitialized = true;\n\n\t\t}\n\n\t}\n\n\t// Make sure the geometry is compatible with the existing combined geometry atributes\n\t_validateGeometry( geometry ) {\n\n\t\t// check that the geometry doesn't have a version of our reserved id attribute\n\t\tif ( geometry.getAttribute( ID_ATTR_NAME ) ) {\n\n\t\t\tthrow new Error( `BatchedMesh: Geometry cannot use attribute \"${ ID_ATTR_NAME }\"` );\n\n\t\t}\n\n\t\t// check to ensure the geometries are using consistent attributes and indices\n\t\tconst batchGeometry = this.geometry;\n\t\tif ( Boolean( geometry.getIndex() ) !== Boolean( batchGeometry.getIndex() ) ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: All geometries must consistently have \"index\".' );\n\n\t\t}\n\n\t\tfor ( const attributeName in batchGeometry.attributes ) {\n\n\t\t\tif ( attributeName === ID_ATTR_NAME ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( ! geometry.hasAttribute( attributeName ) ) {\n\n\t\t\t\tthrow new Error( `BatchedMesh: Added geometry missing \"${ attributeName }\". All geometries must have consistent attributes.` );\n\n\t\t\t}\n\n\t\t\tconst srcAttribute = geometry.getAttribute( attributeName );\n\t\t\tconst dstAttribute = batchGeometry.getAttribute( attributeName );\n\t\t\tif ( srcAttribute.itemSize !== dstAttribute.itemSize || srcAttribute.normalized !== dstAttribute.normalized ) {\n\n\t\t\t\tthrow new Error( 'BatchedMesh: All attributes must have a consistent itemSize and normalized value.' );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tsetCustomSort( func ) {\n\n\t\tthis.customSort = func;\n\t\treturn this;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst boundingBox = this.boundingBox;\n\t\tconst active = this._active;\n\n\t\tboundingBox.makeEmpty();\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( active[ i ] === false ) continue;\n\n\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\tthis.getBoundingBoxAt( i, _box$1 ).applyMatrix4( _matrix );\n\t\t\tboundingBox.union( _box$1 );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst boundingSphere = this.boundingSphere;\n\t\tconst active = this._active;\n\n\t\tboundingSphere.makeEmpty();\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( active[ i ] === false ) continue;\n\n\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\t\t\tboundingSphere.union( _sphere$2 );\n\n\t\t}\n\n\t}\n\n\taddGeometry( geometry, vertexCount = - 1, indexCount = - 1 ) {\n\n\t\tthis._initializeGeometry( geometry );\n\n\t\tthis._validateGeometry( geometry );\n\n\t\t// ensure we're not over geometry\n\t\tif ( this._geometryCount >= this._maxGeometryCount ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Maximum geometry count reached.' );\n\n\t\t}\n\n\t\t// get the necessary range fo the geometry\n\t\tconst reservedRange = {\n\t\t\tvertexStart: - 1,\n\t\t\tvertexCount: - 1,\n\t\t\tindexStart: - 1,\n\t\t\tindexCount: - 1,\n\t\t};\n\n\t\tlet lastRange = null;\n\t\tconst reservedRanges = this._reservedRanges;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst bounds = this._bounds;\n\t\tif ( this._geometryCount !== 0 ) {\n\n\t\t\tlastRange = reservedRanges[ reservedRanges.length - 1 ];\n\n\t\t}\n\n\t\tif ( vertexCount === - 1 ) {\n\n\t\t\treservedRange.vertexCount = geometry.getAttribute( 'position' ).count;\n\n\t\t} else {\n\n\t\t\treservedRange.vertexCount = vertexCount;\n\n\t\t}\n\n\t\tif ( lastRange === null ) {\n\n\t\t\treservedRange.vertexStart = 0;\n\n\t\t} else {\n\n\t\t\treservedRange.vertexStart = lastRange.vertexStart + lastRange.vertexCount;\n\n\t\t}\n\n\t\tconst index = geometry.getIndex();\n\t\tconst hasIndex = index !== null;\n\t\tif ( hasIndex ) {\n\n\t\t\tif ( indexCount\t=== - 1 ) {\n\n\t\t\t\treservedRange.indexCount = index.count;\n\n\t\t\t} else {\n\n\t\t\t\treservedRange.indexCount = indexCount;\n\n\t\t\t}\n\n\t\t\tif ( lastRange === null ) {\n\n\t\t\t\treservedRange.indexStart = 0;\n\n\t\t\t} else {\n\n\t\t\t\treservedRange.indexStart = lastRange.indexStart + lastRange.indexCount;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif (\n\t\t\treservedRange.indexStart !== - 1 &&\n\t\t\treservedRange.indexStart + reservedRange.indexCount > this._maxIndexCount ||\n\t\t\treservedRange.vertexStart + reservedRange.vertexCount > this._maxVertexCount\n\t\t) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Reserved space request exceeds the maximum buffer size.' );\n\n\t\t}\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst matricesTexture = this._matricesTexture;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\n\t\t// push new visibility states\n\t\tvisibility.push( true );\n\t\tactive.push( true );\n\n\t\t// update id\n\t\tconst geometryId = this._geometryCount;\n\t\tthis._geometryCount ++;\n\n\t\t// initialize matrix information\n\t\t_identityMatrix.toArray( matricesArray, geometryId * 16 );\n\t\tmatricesTexture.needsUpdate = true;\n\n\t\t// add the reserved range and draw range objects\n\t\treservedRanges.push( reservedRange );\n\t\tdrawRanges.push( {\n\t\t\tstart: hasIndex ? reservedRange.indexStart : reservedRange.vertexStart,\n\t\t\tcount: - 1\n\t\t} );\n\t\tbounds.push( {\n\t\t\tboxInitialized: false,\n\t\t\tbox: new Box3(),\n\n\t\t\tsphereInitialized: false,\n\t\t\tsphere: new Sphere()\n\t\t} );\n\n\t\t// set the id for the geometry\n\t\tconst idAttribute = this.geometry.getAttribute( ID_ATTR_NAME );\n\t\tfor ( let i = 0; i < reservedRange.vertexCount; i ++ ) {\n\n\t\t\tidAttribute.setX( reservedRange.vertexStart + i, geometryId );\n\n\t\t}\n\n\t\tidAttribute.needsUpdate = true;\n\n\t\t// update the geometry\n\t\tthis.setGeometryAt( geometryId, geometry );\n\n\t\treturn geometryId;\n\n\t}\n\n\tsetGeometryAt( id, geometry ) {\n\n\t\tif ( id >= this._geometryCount ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Maximum geometry count reached.' );\n\n\t\t}\n\n\t\tthis._validateGeometry( geometry );\n\n\t\tconst batchGeometry = this.geometry;\n\t\tconst hasIndex = batchGeometry.getIndex() !== null;\n\t\tconst dstIndex = batchGeometry.getIndex();\n\t\tconst srcIndex = geometry.getIndex();\n\t\tconst reservedRange = this._reservedRanges[ id ];\n\t\tif (\n\t\t\thasIndex &&\n\t\t\tsrcIndex.count > reservedRange.indexCount ||\n\t\t\tgeometry.attributes.position.count > reservedRange.vertexCount\n\t\t) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Reserved space not large enough for provided geometry.' );\n\n\t\t}\n\n\t\t// copy geometry over\n\t\tconst vertexStart = reservedRange.vertexStart;\n\t\tconst vertexCount = reservedRange.vertexCount;\n\t\tfor ( const attributeName in batchGeometry.attributes ) {\n\n\t\t\tif ( attributeName === ID_ATTR_NAME ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\t// copy attribute data\n\t\t\tconst srcAttribute = geometry.getAttribute( attributeName );\n\t\t\tconst dstAttribute = batchGeometry.getAttribute( attributeName );\n\t\t\tcopyAttributeData( srcAttribute, dstAttribute, vertexStart );\n\n\t\t\t// fill the rest in with zeroes\n\t\t\tconst itemSize = srcAttribute.itemSize;\n\t\t\tfor ( let i = srcAttribute.count, l = vertexCount; i < l; i ++ ) {\n\n\t\t\t\tconst index = vertexStart + i;\n\t\t\t\tfor ( let c = 0; c < itemSize; c ++ ) {\n\n\t\t\t\t\tdstAttribute.setComponent( index, c, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tdstAttribute.needsUpdate = true;\n\n\t\t}\n\n\t\t// copy index\n\t\tif ( hasIndex ) {\n\n\t\t\tconst indexStart = reservedRange.indexStart;\n\n\t\t\t// copy index data over\n\t\t\tfor ( let i = 0; i < srcIndex.count; i ++ ) {\n\n\t\t\t\tdstIndex.setX( indexStart + i, vertexStart + srcIndex.getX( i ) );\n\n\t\t\t}\n\n\t\t\t// fill the rest in with zeroes\n\t\t\tfor ( let i = srcIndex.count, l = reservedRange.indexCount; i < l; i ++ ) {\n\n\t\t\t\tdstIndex.setX( indexStart + i, vertexStart );\n\n\t\t\t}\n\n\t\t\tdstIndex.needsUpdate = true;\n\n\t\t}\n\n\t\t// store the bounding boxes\n\t\tconst bound = this._bounds[ id ];\n\t\tif ( geometry.boundingBox !== null ) {\n\n\t\t\tbound.box.copy( geometry.boundingBox );\n\t\t\tbound.boxInitialized = true;\n\n\t\t} else {\n\n\t\t\tbound.boxInitialized = false;\n\n\t\t}\n\n\t\tif ( geometry.boundingSphere !== null ) {\n\n\t\t\tbound.sphere.copy( geometry.boundingSphere );\n\t\t\tbound.sphereInitialized = true;\n\n\t\t} else {\n\n\t\t\tbound.sphereInitialized = false;\n\n\t\t}\n\n\t\t// set drawRange count\n\t\tconst drawRange = this._drawRanges[ id ];\n\t\tconst posAttr = geometry.getAttribute( 'position' );\n\t\tdrawRange.count = hasIndex ? srcIndex.count : posAttr.count;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn id;\n\n\t}\n\n\tdeleteGeometry( geometryId ) {\n\n\t\t// Note: User needs to call optimize() afterward to pack the data.\n\n\t\tconst active = this._active;\n\t\tif ( geometryId >= active.length || active[ geometryId ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tactive[ geometryId ] = false;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn this;\n\n\t}\n\n\t// get bounding box and compute it if it doesn't exist\n\tgetBoundingBoxAt( id, target ) {\n\n\t\tconst active = this._active;\n\t\tif ( active[ id ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t// compute bounding box\n\t\tconst bound = this._bounds[ id ];\n\t\tconst box = bound.box;\n\t\tconst geometry = this.geometry;\n\t\tif ( bound.boxInitialized === false ) {\n\n\t\t\tbox.makeEmpty();\n\n\t\t\tconst index = geometry.index;\n\t\t\tconst position = geometry.attributes.position;\n\t\t\tconst drawRange = this._drawRanges[ id ];\n\t\t\tfor ( let i = drawRange.start, l = drawRange.start + drawRange.count; i < l; i ++ ) {\n\n\t\t\t\tlet iv = i;\n\t\t\t\tif ( index ) {\n\n\t\t\t\t\tiv = index.getX( iv );\n\n\t\t\t\t}\n\n\t\t\t\tbox.expandByPoint( _vector$5.fromBufferAttribute( position, iv ) );\n\n\t\t\t}\n\n\t\t\tbound.boxInitialized = true;\n\n\t\t}\n\n\t\ttarget.copy( box );\n\t\treturn target;\n\n\t}\n\n\t// get bounding sphere and compute it if it doesn't exist\n\tgetBoundingSphereAt( id, target ) {\n\n\t\tconst active = this._active;\n\t\tif ( active[ id ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t// compute bounding sphere\n\t\tconst bound = this._bounds[ id ];\n\t\tconst sphere = bound.sphere;\n\t\tconst geometry = this.geometry;\n\t\tif ( bound.sphereInitialized === false ) {\n\n\t\t\tsphere.makeEmpty();\n\n\t\t\tthis.getBoundingBoxAt( id, _box$1 );\n\t\t\t_box$1.getCenter( sphere.center );\n\n\t\t\tconst index = geometry.index;\n\t\t\tconst position = geometry.attributes.position;\n\t\t\tconst drawRange = this._drawRanges[ id ];\n\n\t\t\tlet maxRadiusSq = 0;\n\t\t\tfor ( let i = drawRange.start, l = drawRange.start + drawRange.count; i < l; i ++ ) {\n\n\t\t\t\tlet iv = i;\n\t\t\t\tif ( index ) {\n\n\t\t\t\t\tiv = index.getX( iv );\n\n\t\t\t\t}\n\n\t\t\t\t_vector$5.fromBufferAttribute( position, iv );\n\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, sphere.center.distanceToSquared( _vector$5 ) );\n\n\t\t\t}\n\n\t\t\tsphere.radius = Math.sqrt( maxRadiusSq );\n\t\t\tbound.sphereInitialized = true;\n\n\t\t}\n\n\t\ttarget.copy( sphere );\n\t\treturn target;\n\n\t}\n\n\tsetMatrixAt( geometryId, matrix ) {\n\n\t\t// @TODO: Map geometryId to index of the arrays because\n\t\t// optimize() can make geometryId mismatch the index\n\n\t\tconst active = this._active;\n\t\tconst matricesTexture = this._matricesTexture;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\t\tconst geometryCount = this._geometryCount;\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tmatrix.toArray( matricesArray, geometryId * 16 );\n\t\tmatricesTexture.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\tgetMatrixAt( geometryId, matrix ) {\n\n\t\tconst active = this._active;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\t\tconst geometryCount = this._geometryCount;\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn matrix.fromArray( matricesArray, geometryId * 16 );\n\n\t}\n\n\tsetVisibleAt( geometryId, value ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst geometryCount = this._geometryCount;\n\n\t\t// if the geometry is out of range, not active, or visibility state\n\t\t// does not change then return early\n\t\tif (\n\t\t\tgeometryId >= geometryCount ||\n\t\t\tactive[ geometryId ] === false ||\n\t\t\tvisibility[ geometryId ] === value\n\t\t) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tvisibility[ geometryId ] = value;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn this;\n\n\t}\n\n\tgetVisibleAt( geometryId ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst geometryCount = this._geometryCount;\n\n\t\t// return early if the geometry is out of range or not active\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn visibility[ geometryId ];\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst batchGeometry = this.geometry;\n\n\t\t// iterate over each geometry\n\t\t_mesh.material = this.material;\n\t\t_mesh.geometry.index = batchGeometry.index;\n\t\t_mesh.geometry.attributes = batchGeometry.attributes;\n\t\tif ( _mesh.geometry.boundingBox === null ) {\n\n\t\t\t_mesh.geometry.boundingBox = new Box3();\n\n\t\t}\n\n\t\tif ( _mesh.geometry.boundingSphere === null ) {\n\n\t\t\t_mesh.geometry.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( ! visibility[ i ] || ! active[ i ] ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tconst drawRange = drawRanges[ i ];\n\t\t\t_mesh.geometry.setDrawRange( drawRange.start, drawRange.count );\n\n\t\t\t// ge the intersects\n\t\t\tthis.getMatrixAt( i, _mesh.matrixWorld ).premultiply( matrixWorld );\n\t\t\tthis.getBoundingBoxAt( i, _mesh.geometry.boundingBox );\n\t\t\tthis.getBoundingSphereAt( i, _mesh.geometry.boundingSphere );\n\t\t\t_mesh.raycast( raycaster, _batchIntersects );\n\n\t\t\t// add batch id to the intersects\n\t\t\tfor ( let j = 0, l = _batchIntersects.length; j < l; j ++ ) {\n\n\t\t\t\tconst intersect = _batchIntersects[ j ];\n\t\t\t\tintersect.object = this;\n\t\t\t\tintersect.batchId = i;\n\t\t\t\tintersects.push( intersect );\n\n\t\t\t}\n\n\t\t\t_batchIntersects.length = 0;\n\n\t\t}\n\n\t\t_mesh.material = null;\n\t\t_mesh.geometry.index = null;\n\t\t_mesh.geometry.attributes = {};\n\t\t_mesh.geometry.setDrawRange( 0, Infinity );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.geometry = source.geometry.clone();\n\t\tthis.perObjectFrustumCulled = source.perObjectFrustumCulled;\n\t\tthis.sortObjects = source.sortObjects;\n\t\tthis.boundingBox = source.boundingBox !== null ? source.boundingBox.clone() : null;\n\t\tthis.boundingSphere = source.boundingSphere !== null ? source.boundingSphere.clone() : null;\n\n\t\tthis._drawRanges = source._drawRanges.map( range => ( { ...range } ) );\n\t\tthis._reservedRanges = source._reservedRanges.map( range => ( { ...range } ) );\n\n\t\tthis._visibility = source._visibility.slice();\n\t\tthis._active = source._active.slice();\n\t\tthis._bounds = source._bounds.map( bound => ( {\n\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\tbox: bound.box.clone(),\n\n\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\tsphere: bound.sphere.clone()\n\t\t} ) );\n\n\t\tthis._maxGeometryCount = source._maxGeometryCount;\n\t\tthis._maxVertexCount = source._maxVertexCount;\n\t\tthis._maxIndexCount = source._maxIndexCount;\n\n\t\tthis._geometryInitialized = source._geometryInitialized;\n\t\tthis._geometryCount = source._geometryCount;\n\t\tthis._multiDrawCounts = source._multiDrawCounts.slice();\n\t\tthis._multiDrawStarts = source._multiDrawStarts.slice();\n\n\t\tthis._matricesTexture = source._matricesTexture.clone();\n\t\tthis._matricesTexture.image.data = this._matricesTexture.image.slice();\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\t// Assuming the geometry is not shared with other meshes\n\t\tthis.geometry.dispose();\n\n\t\tthis._matricesTexture.dispose();\n\t\tthis._matricesTexture = null;\n\t\treturn this;\n\n\t}\n\n\tonBeforeRender( renderer, scene, camera, geometry, material/*, _group*/ ) {\n\n\t\t// if visibility has not changed and frustum culling and object sorting is not required\n\t\t// then skip iterating over all items\n\t\tif ( ! this._visibilityChanged && ! this.perObjectFrustumCulled && ! this.sortObjects ) {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// the indexed version of the multi draw function requires specifying the start\n\t\t// offset in bytes.\n\t\tconst index = geometry.getIndex();\n\t\tconst bytesPerElement = index === null ? 1 : index.array.BYTES_PER_ELEMENT;\n\n\t\tconst visibility = this._visibility;\n\t\tconst multiDrawStarts = this._multiDrawStarts;\n\t\tconst multiDrawCounts = this._multiDrawCounts;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst perObjectFrustumCulled = this.perObjectFrustumCulled;\n\n\t\t// prepare the frustum in the local frame\n\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t_projScreenMatrix$2\n\t\t\t\t.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse )\n\t\t\t\t.multiply( this.matrixWorld );\n\t\t\t_frustum.setFromProjectionMatrix(\n\t\t\t\t_projScreenMatrix$2,\n\t\t\t\trenderer.isWebGPURenderer ? WebGPUCoordinateSystem : WebGLCoordinateSystem\n\t\t\t);\n\n\t\t}\n\n\t\tlet count = 0;\n\t\tif ( this.sortObjects ) {\n\n\t\t\t// get the camera position in the local frame\n\t\t\t_invMatrixWorld.copy( this.matrixWorld ).invert();\n\t\t\t_vector$5.setFromMatrixPosition( camera.matrixWorld ).applyMatrix4( _invMatrixWorld );\n\n\t\t\tfor ( let i = 0, l = visibility.length; i < l; i ++ ) {\n\n\t\t\t\tif ( visibility[ i ] ) {\n\n\t\t\t\t\t// get the bounds in world space\n\t\t\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\n\t\t\t\t\t// determine whether the batched geometry is within the frustum\n\t\t\t\t\tlet culled = false;\n\t\t\t\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t\t\t\tculled = ! _frustum.intersectsSphere( _sphere$2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! culled ) {\n\n\t\t\t\t\t\t// get the distance from camera used for sorting\n\t\t\t\t\t\tconst z = _vector$5.distanceTo( _sphere$2.center );\n\t\t\t\t\t\t_renderList.push( drawRanges[ i ], z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Sort the draw ranges and prep for rendering\n\t\t\tconst list = _renderList.list;\n\t\t\tconst customSort = this.customSort;\n\t\t\tif ( customSort === null ) {\n\n\t\t\t\tlist.sort( material.transparent ? sortTransparent : sortOpaque );\n\n\t\t\t} else {\n\n\t\t\t\tcustomSort.call( this, list, camera );\n\n\t\t\t}\n\n\t\t\tfor ( let i = 0, l = list.length; i < l; i ++ ) {\n\n\t\t\t\tconst item = list[ i ];\n\t\t\t\tmultiDrawStarts[ count ] = item.start * bytesPerElement;\n\t\t\t\tmultiDrawCounts[ count ] = item.count;\n\t\t\t\tcount ++;\n\n\t\t\t}\n\n\t\t\t_renderList.reset();\n\n\t\t} else {\n\n\t\t\tfor ( let i = 0, l = visibility.length; i < l; i ++ ) {\n\n\t\t\t\tif ( visibility[ i ] ) {\n\n\t\t\t\t\t// determine whether the batched geometry is within the frustum\n\t\t\t\t\tlet culled = false;\n\t\t\t\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t\t\t\t// get the bounds in world space\n\t\t\t\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\t\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\t\t\t\t\t\tculled = ! _frustum.intersectsSphere( _sphere$2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! culled ) {\n\n\t\t\t\t\t\tconst range = drawRanges[ i ];\n\t\t\t\t\t\tmultiDrawStarts[ count ] = range.start * bytesPerElement;\n\t\t\t\t\t\tmultiDrawCounts[ count ] = range.count;\n\t\t\t\t\t\tcount ++;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._multiDrawCount = count;\n\t\tthis._visibilityChanged = false;\n\n\t}\n\n\tonBeforeShadow( renderer, object, camera, shadowCamera, geometry, depthMaterial/* , group */ ) {\n\n\t\tthis.onBeforeRender( renderer, null, shadowCamera, geometry, depthMaterial );\n\n\t}\n\n}\n\nclass LineBasicMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isLineBasicMaterial = true;\n\n\t\tthis.type = 'LineBasicMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.linewidth = 1;\n\t\tthis.linecap = 'round';\n\t\tthis.linejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.linewidth = source.linewidth;\n\t\tthis.linecap = source.linecap;\n\t\tthis.linejoin = source.linejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _start$1 = /*@__PURE__*/ new Vector3();\nconst _end$1 = /*@__PURE__*/ new Vector3();\nconst _inverseMatrix$1 = /*@__PURE__*/ new Matrix4();\nconst _ray$1 = /*@__PURE__*/ new Ray();\nconst _sphere$1 = /*@__PURE__*/ new Sphere();\n\nclass Line extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new LineBasicMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isLine = true;\n\n\t\tthis.type = 'Line';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\tcomputeLineDistances() {\n\n\t\tconst geometry = this.geometry;\n\n\t\t// we assume non-indexed geometry\n\n\t\tif ( geometry.index === null ) {\n\n\t\t\tconst positionAttribute = geometry.attributes.position;\n\t\t\tconst lineDistances = [ 0 ];\n\n\t\t\tfor ( let i = 1, l = positionAttribute.count; i < l; i ++ ) {\n\n\t\t\t\t_start$1.fromBufferAttribute( positionAttribute, i - 1 );\n\t\t\t\t_end$1.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\tlineDistances[ i ] = lineDistances[ i - 1 ];\n\t\t\t\tlineDistances[ i ] += _start$1.distanceTo( _end$1 );\n\n\t\t\t}\n\n\t\t\tgeometry.setAttribute( 'lineDistance', new Float32BufferAttribute( lineDistances, 1 ) );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.' );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst threshold = raycaster.params.Line.threshold;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\t// Checking boundingSphere distance to ray\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere$1.copy( geometry.boundingSphere );\n\t\t_sphere$1.applyMatrix4( matrixWorld );\n\t\t_sphere$1.radius += threshold;\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$1 ) === false ) return;\n\n\t\t//\n\n\t\t_inverseMatrix$1.copy( matrixWorld ).invert();\n\t\t_ray$1.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$1 );\n\n\t\tconst localThreshold = threshold / ( ( this.scale.x + this.scale.y + this.scale.z ) / 3 );\n\t\tconst localThresholdSq = localThreshold * localThreshold;\n\n\t\tconst vStart = new Vector3();\n\t\tconst vEnd = new Vector3();\n\t\tconst interSegment = new Vector3();\n\t\tconst interRay = new Vector3();\n\t\tconst step = this.isLineSegments ? 2 : 1;\n\n\t\tconst index = geometry.index;\n\t\tconst attributes = geometry.attributes;\n\t\tconst positionAttribute = attributes.position;\n\n\t\tif ( index !== null ) {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end - 1; i < l; i += step ) {\n\n\t\t\t\tconst a = index.getX( i );\n\t\t\t\tconst b = index.getX( i + 1 );\n\n\t\t\t\tvStart.fromBufferAttribute( positionAttribute, a );\n\t\t\t\tvEnd.fromBufferAttribute( positionAttribute, b );\n\n\t\t\t\tconst distSq = _ray$1.distanceSqToSegment( vStart, vEnd, interRay, interSegment );\n\n\t\t\t\tif ( distSq > localThresholdSq ) continue;\n\n\t\t\t\tinterRay.applyMatrix4( this.matrixWorld ); //Move back to world space for distance calculation\n\n\t\t\t\tconst distance = raycaster.ray.origin.distanceTo( interRay );\n\n\t\t\t\tif ( distance < raycaster.near || distance > raycaster.far ) continue;\n\n\t\t\t\tintersects.push( {\n\n\t\t\t\t\tdistance: distance,\n\t\t\t\t\t// What do we want? intersection point on the ray or on the segment??\n\t\t\t\t\t// point: raycaster.ray.at( distance ),\n\t\t\t\t\tpoint: interSegment.clone().applyMatrix4( this.matrixWorld ),\n\t\t\t\t\tindex: i,\n\t\t\t\t\tface: null,\n\t\t\t\t\tfaceIndex: null,\n\t\t\t\t\tobject: this\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( positionAttribute.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end - 1; i < l; i += step ) {\n\n\t\t\t\tvStart.fromBufferAttribute( positionAttribute, i );\n\t\t\t\tvEnd.fromBufferAttribute( positionAttribute, i + 1 );\n\n\t\t\t\tconst distSq = _ray$1.distanceSqToSegment( vStart, vEnd, interRay, interSegment );\n\n\t\t\t\tif ( distSq > localThresholdSq ) continue;\n\n\t\t\t\tinterRay.applyMatrix4( this.matrixWorld ); //Move back to world space for distance calculation\n\n\t\t\t\tconst distance = raycaster.ray.origin.distanceTo( interRay );\n\n\t\t\t\tif ( distance < raycaster.near || distance > raycaster.far ) continue;\n\n\t\t\t\tintersects.push( {\n\n\t\t\t\t\tdistance: distance,\n\t\t\t\t\t// What do we want? intersection point on the ray or on the segment??\n\t\t\t\t\t// point: raycaster.ray.at( distance ),\n\t\t\t\t\tpoint: interSegment.clone().applyMatrix4( this.matrixWorld ),\n\t\t\t\t\tindex: i,\n\t\t\t\t\tface: null,\n\t\t\t\t\tfaceIndex: null,\n\t\t\t\t\tobject: this\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nconst _start = /*@__PURE__*/ new Vector3();\nconst _end = /*@__PURE__*/ new Vector3();\n\nclass LineSegments extends Line {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isLineSegments = true;\n\n\t\tthis.type = 'LineSegments';\n\n\t}\n\n\tcomputeLineDistances() {\n\n\t\tconst geometry = this.geometry;\n\n\t\t// we assume non-indexed geometry\n\n\t\tif ( geometry.index === null ) {\n\n\t\t\tconst positionAttribute = geometry.attributes.position;\n\t\t\tconst lineDistances = [];\n\n\t\t\tfor ( let i = 0, l = positionAttribute.count; i < l; i += 2 ) {\n\n\t\t\t\t_start.fromBufferAttribute( positionAttribute, i );\n\t\t\t\t_end.fromBufferAttribute( positionAttribute, i + 1 );\n\n\t\t\t\tlineDistances[ i ] = ( i === 0 ) ? 0 : lineDistances[ i - 1 ];\n\t\t\t\tlineDistances[ i + 1 ] = lineDistances[ i ] + _start.distanceTo( _end );\n\n\t\t\t}\n\n\t\t\tgeometry.setAttribute( 'lineDistance', new Float32BufferAttribute( lineDistances, 1 ) );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.' );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineLoop extends Line {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isLineLoop = true;\n\n\t\tthis.type = 'LineLoop';\n\n\t}\n\n}\n\nclass PointsMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isPointsMaterial = true;\n\n\t\tthis.type = 'PointsMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.size = 1;\n\t\tthis.sizeAttenuation = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.size = source.size;\n\t\tthis.sizeAttenuation = source.sizeAttenuation;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _inverseMatrix = /*@__PURE__*/ new Matrix4();\nconst _ray = /*@__PURE__*/ new Ray();\nconst _sphere = /*@__PURE__*/ new Sphere();\nconst _position$2 = /*@__PURE__*/ new Vector3();\n\nclass Points extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new PointsMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isPoints = true;\n\n\t\tthis.type = 'Points';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst threshold = raycaster.params.Points.threshold;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\t// Checking boundingSphere distance to ray\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere.copy( geometry.boundingSphere );\n\t\t_sphere.applyMatrix4( matrixWorld );\n\t\t_sphere.radius += threshold;\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere ) === false ) return;\n\n\t\t//\n\n\t\t_inverseMatrix.copy( matrixWorld ).invert();\n\t\t_ray.copy( raycaster.ray ).applyMatrix4( _inverseMatrix );\n\n\t\tconst localThreshold = threshold / ( ( this.scale.x + this.scale.y + this.scale.z ) / 3 );\n\t\tconst localThresholdSq = localThreshold * localThreshold;\n\n\t\tconst index = geometry.index;\n\t\tconst attributes = geometry.attributes;\n\t\tconst positionAttribute = attributes.position;\n\n\t\tif ( index !== null ) {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, il = end; i < il; i ++ ) {\n\n\t\t\t\tconst a = index.getX( i );\n\n\t\t\t\t_position$2.fromBufferAttribute( positionAttribute, a );\n\n\t\t\t\ttestPoint( _position$2, a, localThresholdSq, matrixWorld, raycaster, intersects, this );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( positionAttribute.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end; i < l; i ++ ) {\n\n\t\t\t\t_position$2.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\ttestPoint( _position$2, i, localThresholdSq, matrixWorld, raycaster, intersects, this );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction testPoint( point, index, localThresholdSq, matrixWorld, raycaster, intersects, object ) {\n\n\tconst rayPointDistanceSq = _ray.distanceSqToPoint( point );\n\n\tif ( rayPointDistanceSq < localThresholdSq ) {\n\n\t\tconst intersectPoint = new Vector3();\n\n\t\t_ray.closestPointToPoint( point, intersectPoint );\n\t\tintersectPoint.applyMatrix4( matrixWorld );\n\n\t\tconst distance = raycaster.ray.origin.distanceTo( intersectPoint );\n\n\t\tif ( distance < raycaster.near || distance > raycaster.far ) return;\n\n\t\tintersects.push( {\n\n\t\t\tdistance: distance,\n\t\t\tdistanceToRay: Math.sqrt( rayPointDistanceSq ),\n\t\t\tpoint: intersectPoint,\n\t\t\tindex: index,\n\t\t\tface: null,\n\t\t\tobject: object\n\n\t\t} );\n\n\t}\n\n}\n\nclass VideoTexture extends Texture {\n\n\tconstructor( video, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy ) {\n\n\t\tsuper( video, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isVideoTexture = true;\n\n\t\tthis.minFilter = minFilter !== undefined ? minFilter : LinearFilter;\n\t\tthis.magFilter = magFilter !== undefined ? magFilter : LinearFilter;\n\n\t\tthis.generateMipmaps = false;\n\n\t\tconst scope = this;\n\n\t\tfunction updateVideo() {\n\n\t\t\tscope.needsUpdate = true;\n\t\t\tvideo.requestVideoFrameCallback( updateVideo );\n\n\t\t}\n\n\t\tif ( 'requestVideoFrameCallback' in video ) {\n\n\t\t\tvideo.requestVideoFrameCallback( updateVideo );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.image ).copy( this );\n\n\t}\n\n\tupdate() {\n\n\t\tconst video = this.image;\n\t\tconst hasVideoFrameCallback = 'requestVideoFrameCallback' in video;\n\n\t\tif ( hasVideoFrameCallback === false && video.readyState >= video.HAVE_CURRENT_DATA ) {\n\n\t\t\tthis.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n}\n\nclass FramebufferTexture extends Texture {\n\n\tconstructor( width, height ) {\n\n\t\tsuper( { width, height } );\n\n\t\tthis.isFramebufferTexture = true;\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.generateMipmaps = false;\n\n\t\tthis.needsUpdate = true;\n\n\t}\n\n}\n\nclass CompressedTexture extends Texture {\n\n\tconstructor( mipmaps, width, height, format, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, colorSpace ) {\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isCompressedTexture = true;\n\n\t\tthis.image = { width: width, height: height };\n\t\tthis.mipmaps = mipmaps;\n\n\t\t// no flipping for cube textures\n\t\t// (also flipping doesn't work for compressed textures )\n\n\t\tthis.flipY = false;\n\n\t\t// can't generate mipmaps for compressed textures\n\t\t// mips must be embedded in DDS files\n\n\t\tthis.generateMipmaps = false;\n\n\t}\n\n}\n\nclass CompressedArrayTexture extends CompressedTexture {\n\n\tconstructor( mipmaps, width, height, depth, format, type ) {\n\n\t\tsuper( mipmaps, width, height, format, type );\n\n\t\tthis.isCompressedArrayTexture = true;\n\t\tthis.image.depth = depth;\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t}\n\n}\n\nclass CompressedCubeTexture extends CompressedTexture {\n\n\tconstructor( images, format, type ) {\n\n\t\tsuper( undefined, images[ 0 ].width, images[ 0 ].height, format, type, CubeReflectionMapping );\n\n\t\tthis.isCompressedCubeTexture = true;\n\t\tthis.isCubeTexture = true;\n\n\t\tthis.image = images;\n\n\t}\n\n}\n\nclass CanvasTexture extends Texture {\n\n\tconstructor( canvas, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy ) {\n\n\t\tsuper( canvas, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isCanvasTexture = true;\n\n\t\tthis.needsUpdate = true;\n\n\t}\n\n}\n\n/**\n * Extensible curve object.\n *\n * Some common of curve methods:\n * .getPoint( t, optionalTarget ), .getTangent( t, optionalTarget )\n * .getPointAt( u, optionalTarget ), .getTangentAt( u, optionalTarget )\n * .getPoints(), .getSpacedPoints()\n * .getLength()\n * .updateArcLengths()\n *\n * This following curves inherit from THREE.Curve:\n *\n * -- 2D curves --\n * THREE.ArcCurve\n * THREE.CubicBezierCurve\n * THREE.EllipseCurve\n * THREE.LineCurve\n * THREE.QuadraticBezierCurve\n * THREE.SplineCurve\n *\n * -- 3D curves --\n * THREE.CatmullRomCurve3\n * THREE.CubicBezierCurve3\n * THREE.LineCurve3\n * THREE.QuadraticBezierCurve3\n *\n * A series of curves can be represented as a THREE.CurvePath.\n *\n **/\n\nclass Curve {\n\n\tconstructor() {\n\n\t\tthis.type = 'Curve';\n\n\t\tthis.arcLengthDivisions = 200;\n\n\t}\n\n\t// Virtual base class method to overwrite and implement in subclasses\n\t//\t- t [0 .. 1]\n\n\tgetPoint( /* t, optionalTarget */ ) {\n\n\t\tconsole.warn( 'THREE.Curve: .getPoint() not implemented.' );\n\t\treturn null;\n\n\t}\n\n\t// Get point at relative position in curve according to arc length\n\t// - u [0 .. 1]\n\n\tgetPointAt( u, optionalTarget ) {\n\n\t\tconst t = this.getUtoTmapping( u );\n\t\treturn this.getPoint( t, optionalTarget );\n\n\t}\n\n\t// Get sequence of points using getPoint( t )\n\n\tgetPoints( divisions = 5 ) {\n\n\t\tconst points = [];\n\n\t\tfor ( let d = 0; d <= divisions; d ++ ) {\n\n\t\t\tpoints.push( this.getPoint( d / divisions ) );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\t// Get sequence of points using getPointAt( u )\n\n\tgetSpacedPoints( divisions = 5 ) {\n\n\t\tconst points = [];\n\n\t\tfor ( let d = 0; d <= divisions; d ++ ) {\n\n\t\t\tpoints.push( this.getPointAt( d / divisions ) );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\t// Get total curve arc length\n\n\tgetLength() {\n\n\t\tconst lengths = this.getLengths();\n\t\treturn lengths[ lengths.length - 1 ];\n\n\t}\n\n\t// Get list of cumulative segment lengths\n\n\tgetLengths( divisions = this.arcLengthDivisions ) {\n\n\t\tif ( this.cacheArcLengths &&\n\t\t\t( this.cacheArcLengths.length === divisions + 1 ) &&\n\t\t\t! this.needsUpdate ) {\n\n\t\t\treturn this.cacheArcLengths;\n\n\t\t}\n\n\t\tthis.needsUpdate = false;\n\n\t\tconst cache = [];\n\t\tlet current, last = this.getPoint( 0 );\n\t\tlet sum = 0;\n\n\t\tcache.push( 0 );\n\n\t\tfor ( let p = 1; p <= divisions; p ++ ) {\n\n\t\t\tcurrent = this.getPoint( p / divisions );\n\t\t\tsum += current.distanceTo( last );\n\t\t\tcache.push( sum );\n\t\t\tlast = current;\n\n\t\t}\n\n\t\tthis.cacheArcLengths = cache;\n\n\t\treturn cache; // { sums: cache, sum: sum }; Sum is in the last element.\n\n\t}\n\n\tupdateArcLengths() {\n\n\t\tthis.needsUpdate = true;\n\t\tthis.getLengths();\n\n\t}\n\n\t// Given u ( 0 .. 1 ), get a t to find p. This gives you points which are equidistant\n\n\tgetUtoTmapping( u, distance ) {\n\n\t\tconst arcLengths = this.getLengths();\n\n\t\tlet i = 0;\n\t\tconst il = arcLengths.length;\n\n\t\tlet targetArcLength; // The targeted u distance value to get\n\n\t\tif ( distance ) {\n\n\t\t\ttargetArcLength = distance;\n\n\t\t} else {\n\n\t\t\ttargetArcLength = u * arcLengths[ il - 1 ];\n\n\t\t}\n\n\t\t// binary search for the index with largest value smaller than target u distance\n\n\t\tlet low = 0, high = il - 1, comparison;\n\n\t\twhile ( low <= high ) {\n\n\t\t\ti = Math.floor( low + ( high - low ) / 2 ); // less likely to overflow, though probably not issue here, JS doesn't really have integers, all numbers are floats\n\n\t\t\tcomparison = arcLengths[ i ] - targetArcLength;\n\n\t\t\tif ( comparison < 0 ) {\n\n\t\t\t\tlow = i + 1;\n\n\t\t\t} else if ( comparison > 0 ) {\n\n\t\t\t\thigh = i - 1;\n\n\t\t\t} else {\n\n\t\t\t\thigh = i;\n\t\t\t\tbreak;\n\n\t\t\t\t// DONE\n\n\t\t\t}\n\n\t\t}\n\n\t\ti = high;\n\n\t\tif ( arcLengths[ i ] === targetArcLength ) {\n\n\t\t\treturn i / ( il - 1 );\n\n\t\t}\n\n\t\t// we could get finer grain at lengths, or use simple interpolation between two points\n\n\t\tconst lengthBefore = arcLengths[ i ];\n\t\tconst lengthAfter = arcLengths[ i + 1 ];\n\n\t\tconst segmentLength = lengthAfter - lengthBefore;\n\n\t\t// determine where we are between the 'before' and 'after' points\n\n\t\tconst segmentFraction = ( targetArcLength - lengthBefore ) / segmentLength;\n\n\t\t// add that fractional amount to t\n\n\t\tconst t = ( i + segmentFraction ) / ( il - 1 );\n\n\t\treturn t;\n\n\t}\n\n\t// Returns a unit vector tangent at t\n\t// In case any sub curve does not implement its tangent derivation,\n\t// 2 points a small delta apart will be used to find its gradient\n\t// which seems to give a reasonable approximation\n\n\tgetTangent( t, optionalTarget ) {\n\n\t\tconst delta = 0.0001;\n\t\tlet t1 = t - delta;\n\t\tlet t2 = t + delta;\n\n\t\t// Capping in case of danger\n\n\t\tif ( t1 < 0 ) t1 = 0;\n\t\tif ( t2 > 1 ) t2 = 1;\n\n\t\tconst pt1 = this.getPoint( t1 );\n\t\tconst pt2 = this.getPoint( t2 );\n\n\t\tconst tangent = optionalTarget || ( ( pt1.isVector2 ) ? new Vector2() : new Vector3() );\n\n\t\ttangent.copy( pt2 ).sub( pt1 ).normalize();\n\n\t\treturn tangent;\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\tconst t = this.getUtoTmapping( u );\n\t\treturn this.getTangent( t, optionalTarget );\n\n\t}\n\n\tcomputeFrenetFrames( segments, closed ) {\n\n\t\t// see http://www.cs.indiana.edu/pub/techreports/TR425.pdf\n\n\t\tconst normal = new Vector3();\n\n\t\tconst tangents = [];\n\t\tconst normals = [];\n\t\tconst binormals = [];\n\n\t\tconst vec = new Vector3();\n\t\tconst mat = new Matrix4();\n\n\t\t// compute the tangent vectors for each segment on the curve\n\n\t\tfor ( let i = 0; i <= segments; i ++ ) {\n\n\t\t\tconst u = i / segments;\n\n\t\t\ttangents[ i ] = this.getTangentAt( u, new Vector3() );\n\n\t\t}\n\n\t\t// select an initial normal vector perpendicular to the first tangent vector,\n\t\t// and in the direction of the minimum tangent xyz component\n\n\t\tnormals[ 0 ] = new Vector3();\n\t\tbinormals[ 0 ] = new Vector3();\n\t\tlet min = Number.MAX_VALUE;\n\t\tconst tx = Math.abs( tangents[ 0 ].x );\n\t\tconst ty = Math.abs( tangents[ 0 ].y );\n\t\tconst tz = Math.abs( tangents[ 0 ].z );\n\n\t\tif ( tx <= min ) {\n\n\t\t\tmin = tx;\n\t\t\tnormal.set( 1, 0, 0 );\n\n\t\t}\n\n\t\tif ( ty <= min ) {\n\n\t\t\tmin = ty;\n\t\t\tnormal.set( 0, 1, 0 );\n\n\t\t}\n\n\t\tif ( tz <= min ) {\n\n\t\t\tnormal.set( 0, 0, 1 );\n\n\t\t}\n\n\t\tvec.crossVectors( tangents[ 0 ], normal ).normalize();\n\n\t\tnormals[ 0 ].crossVectors( tangents[ 0 ], vec );\n\t\tbinormals[ 0 ].crossVectors( tangents[ 0 ], normals[ 0 ] );\n\n\n\t\t// compute the slowly-varying normal and binormal vectors for each segment on the curve\n\n\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\tnormals[ i ] = normals[ i - 1 ].clone();\n\n\t\t\tbinormals[ i ] = binormals[ i - 1 ].clone();\n\n\t\t\tvec.crossVectors( tangents[ i - 1 ], tangents[ i ] );\n\n\t\t\tif ( vec.length() > Number.EPSILON ) {\n\n\t\t\t\tvec.normalize();\n\n\t\t\t\tconst theta = Math.acos( clamp( tangents[ i - 1 ].dot( tangents[ i ] ), - 1, 1 ) ); // clamp for floating pt errors\n\n\t\t\t\tnormals[ i ].applyMatrix4( mat.makeRotationAxis( vec, theta ) );\n\n\t\t\t}\n\n\t\t\tbinormals[ i ].crossVectors( tangents[ i ], normals[ i ] );\n\n\t\t}\n\n\t\t// if the curve is closed, postprocess the vectors so the first and last normal vectors are the same\n\n\t\tif ( closed === true ) {\n\n\t\t\tlet theta = Math.acos( clamp( normals[ 0 ].dot( normals[ segments ] ), - 1, 1 ) );\n\t\t\ttheta /= segments;\n\n\t\t\tif ( tangents[ 0 ].dot( vec.crossVectors( normals[ 0 ], normals[ segments ] ) ) > 0 ) {\n\n\t\t\t\ttheta = - theta;\n\n\t\t\t}\n\n\t\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\t\t// twist a little...\n\t\t\t\tnormals[ i ].applyMatrix4( mat.makeRotationAxis( tangents[ i ], theta * i ) );\n\t\t\t\tbinormals[ i ].crossVectors( tangents[ i ], normals[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn {\n\t\t\ttangents: tangents,\n\t\t\tnormals: normals,\n\t\t\tbinormals: binormals\n\t\t};\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.arcLengthDivisions = source.arcLengthDivisions;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Curve',\n\t\t\t\tgenerator: 'Curve.toJSON'\n\t\t\t}\n\t\t};\n\n\t\tdata.arcLengthDivisions = this.arcLengthDivisions;\n\t\tdata.type = this.type;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tthis.arcLengthDivisions = json.arcLengthDivisions;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass EllipseCurve extends Curve {\n\n\tconstructor( aX = 0, aY = 0, xRadius = 1, yRadius = 1, aStartAngle = 0, aEndAngle = Math.PI * 2, aClockwise = false, aRotation = 0 ) {\n\n\t\tsuper();\n\n\t\tthis.isEllipseCurve = true;\n\n\t\tthis.type = 'EllipseCurve';\n\n\t\tthis.aX = aX;\n\t\tthis.aY = aY;\n\n\t\tthis.xRadius = xRadius;\n\t\tthis.yRadius = yRadius;\n\n\t\tthis.aStartAngle = aStartAngle;\n\t\tthis.aEndAngle = aEndAngle;\n\n\t\tthis.aClockwise = aClockwise;\n\n\t\tthis.aRotation = aRotation;\n\n\t}\n\n\tgetPoint( t, optionalTarget ) {\n\n\t\tconst point = optionalTarget || new Vector2();\n\n\t\tconst twoPi = Math.PI * 2;\n\t\tlet deltaAngle = this.aEndAngle - this.aStartAngle;\n\t\tconst samePoints = Math.abs( deltaAngle ) < Number.EPSILON;\n\n\t\t// ensures that deltaAngle is 0 .. 2 PI\n\t\twhile ( deltaAngle < 0 ) deltaAngle += twoPi;\n\t\twhile ( deltaAngle > twoPi ) deltaAngle -= twoPi;\n\n\t\tif ( deltaAngle < Number.EPSILON ) {\n\n\t\t\tif ( samePoints ) {\n\n\t\t\t\tdeltaAngle = 0;\n\n\t\t\t} else {\n\n\t\t\t\tdeltaAngle = twoPi;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.aClockwise === true && ! samePoints ) {\n\n\t\t\tif ( deltaAngle === twoPi ) {\n\n\t\t\t\tdeltaAngle = - twoPi;\n\n\t\t\t} else {\n\n\t\t\t\tdeltaAngle = deltaAngle - twoPi;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst angle = this.aStartAngle + t * deltaAngle;\n\t\tlet x = this.aX + this.xRadius * Math.cos( angle );\n\t\tlet y = this.aY + this.yRadius * Math.sin( angle );\n\n\t\tif ( this.aRotation !== 0 ) {\n\n\t\t\tconst cos = Math.cos( this.aRotation );\n\t\t\tconst sin = Math.sin( this.aRotation );\n\n\t\t\tconst tx = x - this.aX;\n\t\t\tconst ty = y - this.aY;\n\n\t\t\t// Rotate the point about the center of the ellipse.\n\t\t\tx = tx * cos - ty * sin + this.aX;\n\t\t\ty = tx * sin + ty * cos + this.aY;\n\n\t\t}\n\n\t\treturn point.set( x, y );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.aX = source.aX;\n\t\tthis.aY = source.aY;\n\n\t\tthis.xRadius = source.xRadius;\n\t\tthis.yRadius = source.yRadius;\n\n\t\tthis.aStartAngle = source.aStartAngle;\n\t\tthis.aEndAngle = source.aEndAngle;\n\n\t\tthis.aClockwise = source.aClockwise;\n\n\t\tthis.aRotation = source.aRotation;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.aX = this.aX;\n\t\tdata.aY = this.aY;\n\n\t\tdata.xRadius = this.xRadius;\n\t\tdata.yRadius = this.yRadius;\n\n\t\tdata.aStartAngle = this.aStartAngle;\n\t\tdata.aEndAngle = this.aEndAngle;\n\n\t\tdata.aClockwise = this.aClockwise;\n\n\t\tdata.aRotation = this.aRotation;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.aX = json.aX;\n\t\tthis.aY = json.aY;\n\n\t\tthis.xRadius = json.xRadius;\n\t\tthis.yRadius = json.yRadius;\n\n\t\tthis.aStartAngle = json.aStartAngle;\n\t\tthis.aEndAngle = json.aEndAngle;\n\n\t\tthis.aClockwise = json.aClockwise;\n\n\t\tthis.aRotation = json.aRotation;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass ArcCurve extends EllipseCurve {\n\n\tconstructor( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tsuper( aX, aY, aRadius, aRadius, aStartAngle, aEndAngle, aClockwise );\n\n\t\tthis.isArcCurve = true;\n\n\t\tthis.type = 'ArcCurve';\n\n\t}\n\n}\n\n/**\n * Centripetal CatmullRom Curve - which is useful for avoiding\n * cusps and self-intersections in non-uniform catmull rom curves.\n * http://www.cemyuksel.com/research/catmullrom_param/catmullrom.pdf\n *\n * curve.type accepts centripetal(default), chordal and catmullrom\n * curve.tension is used for catmullrom which defaults to 0.5\n */\n\n\n/*\nBased on an optimized c++ solution in\n - http://stackoverflow.com/questions/9489736/catmull-rom-curve-with-no-cusps-and-no-self-intersections/\n - http://ideone.com/NoEbVM\n\nThis CubicPoly class could be used for reusing some variables and calculations,\nbut for three.js curve use, it could be possible inlined and flatten into a single function call\nwhich can be placed in CurveUtils.\n*/\n\nfunction CubicPoly() {\n\n\tlet c0 = 0, c1 = 0, c2 = 0, c3 = 0;\n\n\t/*\n\t * Compute coefficients for a cubic polynomial\n\t * p(s) = c0 + c1*s + c2*s^2 + c3*s^3\n\t * such that\n\t * p(0) = x0, p(1) = x1\n\t * and\n\t * p'(0) = t0, p'(1) = t1.\n\t */\n\tfunction init( x0, x1, t0, t1 ) {\n\n\t\tc0 = x0;\n\t\tc1 = t0;\n\t\tc2 = - 3 * x0 + 3 * x1 - 2 * t0 - t1;\n\t\tc3 = 2 * x0 - 2 * x1 + t0 + t1;\n\n\t}\n\n\treturn {\n\n\t\tinitCatmullRom: function ( x0, x1, x2, x3, tension ) {\n\n\t\t\tinit( x1, x2, tension * ( x2 - x0 ), tension * ( x3 - x1 ) );\n\n\t\t},\n\n\t\tinitNonuniformCatmullRom: function ( x0, x1, x2, x3, dt0, dt1, dt2 ) {\n\n\t\t\t// compute tangents when parameterized in [t1,t2]\n\t\t\tlet t1 = ( x1 - x0 ) / dt0 - ( x2 - x0 ) / ( dt0 + dt1 ) + ( x2 - x1 ) / dt1;\n\t\t\tlet t2 = ( x2 - x1 ) / dt1 - ( x3 - x1 ) / ( dt1 + dt2 ) + ( x3 - x2 ) / dt2;\n\n\t\t\t// rescale tangents for parametrization in [0,1]\n\t\t\tt1 *= dt1;\n\t\t\tt2 *= dt1;\n\n\t\t\tinit( x1, x2, t1, t2 );\n\n\t\t},\n\n\t\tcalc: function ( t ) {\n\n\t\t\tconst t2 = t * t;\n\t\t\tconst t3 = t2 * t;\n\t\t\treturn c0 + c1 * t + c2 * t2 + c3 * t3;\n\n\t\t}\n\n\t};\n\n}\n\n//\n\nconst tmp = /*@__PURE__*/ new Vector3();\nconst px = /*@__PURE__*/ new CubicPoly();\nconst py = /*@__PURE__*/ new CubicPoly();\nconst pz = /*@__PURE__*/ new CubicPoly();\n\nclass CatmullRomCurve3 extends Curve {\n\n\tconstructor( points = [], closed = false, curveType = 'centripetal', tension = 0.5 ) {\n\n\t\tsuper();\n\n\t\tthis.isCatmullRomCurve3 = true;\n\n\t\tthis.type = 'CatmullRomCurve3';\n\n\t\tthis.points = points;\n\t\tthis.closed = closed;\n\t\tthis.curveType = curveType;\n\t\tthis.tension = tension;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst points = this.points;\n\t\tconst l = points.length;\n\n\t\tconst p = ( l - ( this.closed ? 0 : 1 ) ) * t;\n\t\tlet intPoint = Math.floor( p );\n\t\tlet weight = p - intPoint;\n\n\t\tif ( this.closed ) {\n\n\t\t\tintPoint += intPoint > 0 ? 0 : ( Math.floor( Math.abs( intPoint ) / l ) + 1 ) * l;\n\n\t\t} else if ( weight === 0 && intPoint === l - 1 ) {\n\n\t\t\tintPoint = l - 2;\n\t\t\tweight = 1;\n\n\t\t}\n\n\t\tlet p0, p3; // 4 points (p1 & p2 defined below)\n\n\t\tif ( this.closed || intPoint > 0 ) {\n\n\t\t\tp0 = points[ ( intPoint - 1 ) % l ];\n\n\t\t} else {\n\n\t\t\t// extrapolate first point\n\t\t\ttmp.subVectors( points[ 0 ], points[ 1 ] ).add( points[ 0 ] );\n\t\t\tp0 = tmp;\n\n\t\t}\n\n\t\tconst p1 = points[ intPoint % l ];\n\t\tconst p2 = points[ ( intPoint + 1 ) % l ];\n\n\t\tif ( this.closed || intPoint + 2 < l ) {\n\n\t\t\tp3 = points[ ( intPoint + 2 ) % l ];\n\n\t\t} else {\n\n\t\t\t// extrapolate last point\n\t\t\ttmp.subVectors( points[ l - 1 ], points[ l - 2 ] ).add( points[ l - 1 ] );\n\t\t\tp3 = tmp;\n\n\t\t}\n\n\t\tif ( this.curveType === 'centripetal' || this.curveType === 'chordal' ) {\n\n\t\t\t// init Centripetal / Chordal Catmull-Rom\n\t\t\tconst pow = this.curveType === 'chordal' ? 0.5 : 0.25;\n\t\t\tlet dt0 = Math.pow( p0.distanceToSquared( p1 ), pow );\n\t\t\tlet dt1 = Math.pow( p1.distanceToSquared( p2 ), pow );\n\t\t\tlet dt2 = Math.pow( p2.distanceToSquared( p3 ), pow );\n\n\t\t\t// safety check for repeated points\n\t\t\tif ( dt1 < 1e-4 ) dt1 = 1.0;\n\t\t\tif ( dt0 < 1e-4 ) dt0 = dt1;\n\t\t\tif ( dt2 < 1e-4 ) dt2 = dt1;\n\n\t\t\tpx.initNonuniformCatmullRom( p0.x, p1.x, p2.x, p3.x, dt0, dt1, dt2 );\n\t\t\tpy.initNonuniformCatmullRom( p0.y, p1.y, p2.y, p3.y, dt0, dt1, dt2 );\n\t\t\tpz.initNonuniformCatmullRom( p0.z, p1.z, p2.z, p3.z, dt0, dt1, dt2 );\n\n\t\t} else if ( this.curveType === 'catmullrom' ) {\n\n\t\t\tpx.initCatmullRom( p0.x, p1.x, p2.x, p3.x, this.tension );\n\t\t\tpy.initCatmullRom( p0.y, p1.y, p2.y, p3.y, this.tension );\n\t\t\tpz.initCatmullRom( p0.z, p1.z, p2.z, p3.z, this.tension );\n\n\t\t}\n\n\t\tpoint.set(\n\t\t\tpx.calc( weight ),\n\t\t\tpy.calc( weight ),\n\t\t\tpz.calc( weight )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = source.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = source.points[ i ];\n\n\t\t\tthis.points.push( point.clone() );\n\n\t\t}\n\n\t\tthis.closed = source.closed;\n\t\tthis.curveType = source.curveType;\n\t\tthis.tension = source.tension;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.points = [];\n\n\t\tfor ( let i = 0, l = this.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = this.points[ i ];\n\t\t\tdata.points.push( point.toArray() );\n\n\t\t}\n\n\t\tdata.closed = this.closed;\n\t\tdata.curveType = this.curveType;\n\t\tdata.tension = this.tension;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = json.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = json.points[ i ];\n\t\t\tthis.points.push( new Vector3().fromArray( point ) );\n\n\t\t}\n\n\t\tthis.closed = json.closed;\n\t\tthis.curveType = json.curveType;\n\t\tthis.tension = json.tension;\n\n\t\treturn this;\n\n\t}\n\n}\n\n/**\n * Bezier Curves formulas obtained from\n * https://en.wikipedia.org/wiki/B%C3%A9zier_curve\n */\n\nfunction CatmullRom( t, p0, p1, p2, p3 ) {\n\n\tconst v0 = ( p2 - p0 ) * 0.5;\n\tconst v1 = ( p3 - p1 ) * 0.5;\n\tconst t2 = t * t;\n\tconst t3 = t * t2;\n\treturn ( 2 * p1 - 2 * p2 + v0 + v1 ) * t3 + ( - 3 * p1 + 3 * p2 - 2 * v0 - v1 ) * t2 + v0 * t + p1;\n\n}\n\n//\n\nfunction QuadraticBezierP0( t, p ) {\n\n\tconst k = 1 - t;\n\treturn k * k * p;\n\n}\n\nfunction QuadraticBezierP1( t, p ) {\n\n\treturn 2 * ( 1 - t ) * t * p;\n\n}\n\nfunction QuadraticBezierP2( t, p ) {\n\n\treturn t * t * p;\n\n}\n\nfunction QuadraticBezier( t, p0, p1, p2 ) {\n\n\treturn QuadraticBezierP0( t, p0 ) + QuadraticBezierP1( t, p1 ) +\n\t\tQuadraticBezierP2( t, p2 );\n\n}\n\n//\n\nfunction CubicBezierP0( t, p ) {\n\n\tconst k = 1 - t;\n\treturn k * k * k * p;\n\n}\n\nfunction CubicBezierP1( t, p ) {\n\n\tconst k = 1 - t;\n\treturn 3 * k * k * t * p;\n\n}\n\nfunction CubicBezierP2( t, p ) {\n\n\treturn 3 * ( 1 - t ) * t * t * p;\n\n}\n\nfunction CubicBezierP3( t, p ) {\n\n\treturn t * t * t * p;\n\n}\n\nfunction CubicBezier( t, p0, p1, p2, p3 ) {\n\n\treturn CubicBezierP0( t, p0 ) + CubicBezierP1( t, p1 ) + CubicBezierP2( t, p2 ) +\n\t\tCubicBezierP3( t, p3 );\n\n}\n\nclass CubicBezierCurve extends Curve {\n\n\tconstructor( v0 = new Vector2(), v1 = new Vector2(), v2 = new Vector2(), v3 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isCubicBezierCurve = true;\n\n\t\tthis.type = 'CubicBezierCurve';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\t\tthis.v3 = v3;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2, v3 = this.v3;\n\n\t\tpoint.set(\n\t\t\tCubicBezier( t, v0.x, v1.x, v2.x, v3.x ),\n\t\t\tCubicBezier( t, v0.y, v1.y, v2.y, v3.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\t\tthis.v3.copy( source.v3 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\t\tdata.v3 = this.v3.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\t\tthis.v3.fromArray( json.v3 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass CubicBezierCurve3 extends Curve {\n\n\tconstructor( v0 = new Vector3(), v1 = new Vector3(), v2 = new Vector3(), v3 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isCubicBezierCurve3 = true;\n\n\t\tthis.type = 'CubicBezierCurve3';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\t\tthis.v3 = v3;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2, v3 = this.v3;\n\n\t\tpoint.set(\n\t\t\tCubicBezier( t, v0.x, v1.x, v2.x, v3.x ),\n\t\t\tCubicBezier( t, v0.y, v1.y, v2.y, v3.y ),\n\t\t\tCubicBezier( t, v0.z, v1.z, v2.z, v3.z )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\t\tthis.v3.copy( source.v3 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\t\tdata.v3 = this.v3.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\t\tthis.v3.fromArray( json.v3 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineCurve extends Curve {\n\n\tconstructor( v1 = new Vector2(), v2 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isLineCurve = true;\n\n\t\tthis.type = 'LineCurve';\n\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tif ( t === 1 ) {\n\n\t\t\tpoint.copy( this.v2 );\n\n\t\t} else {\n\n\t\t\tpoint.copy( this.v2 ).sub( this.v1 );\n\t\t\tpoint.multiplyScalar( t ).add( this.v1 );\n\n\t\t}\n\n\t\treturn point;\n\n\t}\n\n\t// Line curve is linear, so we can overwrite default getPointAt\n\tgetPointAt( u, optionalTarget ) {\n\n\t\treturn this.getPoint( u, optionalTarget );\n\n\t}\n\n\tgetTangent( t, optionalTarget = new Vector2() ) {\n\n\t\treturn optionalTarget.subVectors( this.v2, this.v1 ).normalize();\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\treturn this.getTangent( u, optionalTarget );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineCurve3 extends Curve {\n\n\tconstructor( v1 = new Vector3(), v2 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isLineCurve3 = true;\n\n\t\tthis.type = 'LineCurve3';\n\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tif ( t === 1 ) {\n\n\t\t\tpoint.copy( this.v2 );\n\n\t\t} else {\n\n\t\t\tpoint.copy( this.v2 ).sub( this.v1 );\n\t\t\tpoint.multiplyScalar( t ).add( this.v1 );\n\n\t\t}\n\n\t\treturn point;\n\n\t}\n\n\t// Line curve is linear, so we can overwrite default getPointAt\n\tgetPointAt( u, optionalTarget ) {\n\n\t\treturn this.getPoint( u, optionalTarget );\n\n\t}\n\n\tgetTangent( t, optionalTarget = new Vector3() ) {\n\n\t\treturn optionalTarget.subVectors( this.v2, this.v1 ).normalize();\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\treturn this.getTangent( u, optionalTarget );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass QuadraticBezierCurve extends Curve {\n\n\tconstructor( v0 = new Vector2(), v1 = new Vector2(), v2 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isQuadraticBezierCurve = true;\n\n\t\tthis.type = 'QuadraticBezierCurve';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2;\n\n\t\tpoint.set(\n\t\t\tQuadraticBezier( t, v0.x, v1.x, v2.x ),\n\t\t\tQuadraticBezier( t, v0.y, v1.y, v2.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass QuadraticBezierCurve3 extends Curve {\n\n\tconstructor( v0 = new Vector3(), v1 = new Vector3(), v2 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isQuadraticBezierCurve3 = true;\n\n\t\tthis.type = 'QuadraticBezierCurve3';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2;\n\n\t\tpoint.set(\n\t\t\tQuadraticBezier( t, v0.x, v1.x, v2.x ),\n\t\t\tQuadraticBezier( t, v0.y, v1.y, v2.y ),\n\t\t\tQuadraticBezier( t, v0.z, v1.z, v2.z )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass SplineCurve extends Curve {\n\n\tconstructor( points = [] ) {\n\n\t\tsuper();\n\n\t\tthis.isSplineCurve = true;\n\n\t\tthis.type = 'SplineCurve';\n\n\t\tthis.points = points;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst points = this.points;\n\t\tconst p = ( points.length - 1 ) * t;\n\n\t\tconst intPoint = Math.floor( p );\n\t\tconst weight = p - intPoint;\n\n\t\tconst p0 = points[ intPoint === 0 ? intPoint : intPoint - 1 ];\n\t\tconst p1 = points[ intPoint ];\n\t\tconst p2 = points[ intPoint > points.length - 2 ? points.length - 1 : intPoint + 1 ];\n\t\tconst p3 = points[ intPoint > points.length - 3 ? points.length - 1 : intPoint + 2 ];\n\n\t\tpoint.set(\n\t\t\tCatmullRom( weight, p0.x, p1.x, p2.x, p3.x ),\n\t\t\tCatmullRom( weight, p0.y, p1.y, p2.y, p3.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = source.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = source.points[ i ];\n\n\t\t\tthis.points.push( point.clone() );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.points = [];\n\n\t\tfor ( let i = 0, l = this.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = this.points[ i ];\n\t\t\tdata.points.push( point.toArray() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = json.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = json.points[ i ];\n\t\t\tthis.points.push( new Vector2().fromArray( point ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nvar Curves = /*#__PURE__*/Object.freeze({\n\t__proto__: null,\n\tArcCurve: ArcCurve,\n\tCatmullRomCurve3: CatmullRomCurve3,\n\tCubicBezierCurve: CubicBezierCurve,\n\tCubicBezierCurve3: CubicBezierCurve3,\n\tEllipseCurve: EllipseCurve,\n\tLineCurve: LineCurve,\n\tLineCurve3: LineCurve3,\n\tQuadraticBezierCurve: QuadraticBezierCurve,\n\tQuadraticBezierCurve3: QuadraticBezierCurve3,\n\tSplineCurve: SplineCurve\n});\n\n/**************************************************************\n *\tCurved Path - a curve path is simply a array of connected\n * curves, but retains the api of a curve\n **************************************************************/\n\nclass CurvePath extends Curve {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.type = 'CurvePath';\n\n\t\tthis.curves = [];\n\t\tthis.autoClose = false; // Automatically closes the path\n\n\t}\n\n\tadd( curve ) {\n\n\t\tthis.curves.push( curve );\n\n\t}\n\n\tclosePath() {\n\n\t\t// Add a line curve if start and end of lines are not connected\n\t\tconst startPoint = this.curves[ 0 ].getPoint( 0 );\n\t\tconst endPoint = this.curves[ this.curves.length - 1 ].getPoint( 1 );\n\n\t\tif ( ! startPoint.equals( endPoint ) ) {\n\n\t\t\tconst lineType = ( startPoint.isVector2 === true ) ? 'LineCurve' : 'LineCurve3';\n\t\t\tthis.curves.push( new Curves[ lineType ]( endPoint, startPoint ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// To get accurate point with reference to\n\t// entire path distance at time t,\n\t// following has to be done:\n\n\t// 1. Length of each sub path have to be known\n\t// 2. Locate and identify type of curve\n\t// 3. Get t for the curve\n\t// 4. Return curve.getPointAt(t')\n\n\tgetPoint( t, optionalTarget ) {\n\n\t\tconst d = t * this.getLength();\n\t\tconst curveLengths = this.getCurveLengths();\n\t\tlet i = 0;\n\n\t\t// To think about boundaries points.\n\n\t\twhile ( i < curveLengths.length ) {\n\n\t\t\tif ( curveLengths[ i ] >= d ) {\n\n\t\t\t\tconst diff = curveLengths[ i ] - d;\n\t\t\t\tconst curve = this.curves[ i ];\n\n\t\t\t\tconst segmentLength = curve.getLength();\n\t\t\t\tconst u = segmentLength === 0 ? 0 : 1 - diff / segmentLength;\n\n\t\t\t\treturn curve.getPointAt( u, optionalTarget );\n\n\t\t\t}\n\n\t\t\ti ++;\n\n\t\t}\n\n\t\treturn null;\n\n\t\t// loop where sum != 0, sum > d , sum+1 1 && ! points[ points.length - 1 ].equals( points[ 0 ] ) ) {\n\n\t\t\tpoints.push( points[ 0 ] );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.curves = [];\n\n\t\tfor ( let i = 0, l = source.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = source.curves[ i ];\n\n\t\t\tthis.curves.push( curve.clone() );\n\n\t\t}\n\n\t\tthis.autoClose = source.autoClose;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.autoClose = this.autoClose;\n\t\tdata.curves = [];\n\n\t\tfor ( let i = 0, l = this.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = this.curves[ i ];\n\t\t\tdata.curves.push( curve.toJSON() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.autoClose = json.autoClose;\n\t\tthis.curves = [];\n\n\t\tfor ( let i = 0, l = json.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = json.curves[ i ];\n\t\t\tthis.curves.push( new Curves[ curve.type ]().fromJSON( curve ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Path extends CurvePath {\n\n\tconstructor( points ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'Path';\n\n\t\tthis.currentPoint = new Vector2();\n\n\t\tif ( points ) {\n\n\t\t\tthis.setFromPoints( points );\n\n\t\t}\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.moveTo( points[ 0 ].x, points[ 0 ].y );\n\n\t\tfor ( let i = 1, l = points.length; i < l; i ++ ) {\n\n\t\t\tthis.lineTo( points[ i ].x, points[ i ].y );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmoveTo( x, y ) {\n\n\t\tthis.currentPoint.set( x, y ); // TODO consider referencing vectors instead of copying?\n\n\t\treturn this;\n\n\t}\n\n\tlineTo( x, y ) {\n\n\t\tconst curve = new LineCurve( this.currentPoint.clone(), new Vector2( x, y ) );\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tquadraticCurveTo( aCPx, aCPy, aX, aY ) {\n\n\t\tconst curve = new QuadraticBezierCurve(\n\t\t\tthis.currentPoint.clone(),\n\t\t\tnew Vector2( aCPx, aCPy ),\n\t\t\tnew Vector2( aX, aY )\n\t\t);\n\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tbezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY ) {\n\n\t\tconst curve = new CubicBezierCurve(\n\t\t\tthis.currentPoint.clone(),\n\t\t\tnew Vector2( aCP1x, aCP1y ),\n\t\t\tnew Vector2( aCP2x, aCP2y ),\n\t\t\tnew Vector2( aX, aY )\n\t\t);\n\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tsplineThru( pts /*Array of Vector*/ ) {\n\n\t\tconst npts = [ this.currentPoint.clone() ].concat( pts );\n\n\t\tconst curve = new SplineCurve( npts );\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.copy( pts[ pts.length - 1 ] );\n\n\t\treturn this;\n\n\t}\n\n\tarc( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tconst x0 = this.currentPoint.x;\n\t\tconst y0 = this.currentPoint.y;\n\n\t\tthis.absarc( aX + x0, aY + y0, aRadius,\n\t\t\taStartAngle, aEndAngle, aClockwise );\n\n\t\treturn this;\n\n\t}\n\n\tabsarc( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tthis.absellipse( aX, aY, aRadius, aRadius, aStartAngle, aEndAngle, aClockwise );\n\n\t\treturn this;\n\n\t}\n\n\tellipse( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation ) {\n\n\t\tconst x0 = this.currentPoint.x;\n\t\tconst y0 = this.currentPoint.y;\n\n\t\tthis.absellipse( aX + x0, aY + y0, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation );\n\n\t\treturn this;\n\n\t}\n\n\tabsellipse( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation ) {\n\n\t\tconst curve = new EllipseCurve( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation );\n\n\t\tif ( this.curves.length > 0 ) {\n\n\t\t\t// if a previous curve is present, attempt to join\n\t\t\tconst firstPoint = curve.getPoint( 0 );\n\n\t\t\tif ( ! firstPoint.equals( this.currentPoint ) ) {\n\n\t\t\t\tthis.lineTo( firstPoint.x, firstPoint.y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.curves.push( curve );\n\n\t\tconst lastPoint = curve.getPoint( 1 );\n\t\tthis.currentPoint.copy( lastPoint );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.currentPoint.copy( source.currentPoint );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.currentPoint = this.currentPoint.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.currentPoint.fromArray( json.currentPoint );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LatheGeometry extends BufferGeometry {\n\n\tconstructor( points = [ new Vector2( 0, - 0.5 ), new Vector2( 0.5, 0 ), new Vector2( 0, 0.5 ) ], segments = 12, phiStart = 0, phiLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'LatheGeometry';\n\n\t\tthis.parameters = {\n\t\t\tpoints: points,\n\t\t\tsegments: segments,\n\t\t\tphiStart: phiStart,\n\t\t\tphiLength: phiLength\n\t\t};\n\n\t\tsegments = Math.floor( segments );\n\n\t\t// clamp phiLength so it's in range of [ 0, 2PI ]\n\n\t\tphiLength = clamp( phiLength, 0, Math.PI * 2 );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst uvs = [];\n\t\tconst initNormals = [];\n\t\tconst normals = [];\n\n\t\t// helper variables\n\n\t\tconst inverseSegments = 1.0 / segments;\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\t\tconst normal = new Vector3();\n\t\tconst curNormal = new Vector3();\n\t\tconst prevNormal = new Vector3();\n\t\tlet dx = 0;\n\t\tlet dy = 0;\n\n\t\t// pre-compute normals for initial \"meridian\"\n\n\t\tfor ( let j = 0; j <= ( points.length - 1 ); j ++ ) {\n\n\t\t\tswitch ( j ) {\n\n\t\t\t\tcase 0:\t\t\t\t// special handling for 1st vertex on path\n\n\t\t\t\t\tdx = points[ j + 1 ].x - points[ j ].x;\n\t\t\t\t\tdy = points[ j + 1 ].y - points[ j ].y;\n\n\t\t\t\t\tnormal.x = dy * 1.0;\n\t\t\t\t\tnormal.y = - dx;\n\t\t\t\t\tnormal.z = dy * 0.0;\n\n\t\t\t\t\tprevNormal.copy( normal );\n\n\t\t\t\t\tnormal.normalize();\n\n\t\t\t\t\tinitNormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ( points.length - 1 ):\t// special handling for last Vertex on path\n\n\t\t\t\t\tinitNormals.push( prevNormal.x, prevNormal.y, prevNormal.z );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\t\t\t// default handling for all vertices in between\n\n\t\t\t\t\tdx = points[ j + 1 ].x - points[ j ].x;\n\t\t\t\t\tdy = points[ j + 1 ].y - points[ j ].y;\n\n\t\t\t\t\tnormal.x = dy * 1.0;\n\t\t\t\t\tnormal.y = - dx;\n\t\t\t\t\tnormal.z = dy * 0.0;\n\n\t\t\t\t\tcurNormal.copy( normal );\n\n\t\t\t\t\tnormal.x += prevNormal.x;\n\t\t\t\t\tnormal.y += prevNormal.y;\n\t\t\t\t\tnormal.z += prevNormal.z;\n\n\t\t\t\t\tnormal.normalize();\n\n\t\t\t\t\tinitNormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\tprevNormal.copy( curNormal );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate vertices, uvs and normals\n\n\t\tfor ( let i = 0; i <= segments; i ++ ) {\n\n\t\t\tconst phi = phiStart + i * inverseSegments * phiLength;\n\n\t\t\tconst sin = Math.sin( phi );\n\t\t\tconst cos = Math.cos( phi );\n\n\t\t\tfor ( let j = 0; j <= ( points.length - 1 ); j ++ ) {\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = points[ j ].x * sin;\n\t\t\t\tvertex.y = points[ j ].y;\n\t\t\t\tvertex.z = points[ j ].x * cos;\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = i / segments;\n\t\t\t\tuv.y = j / ( points.length - 1 );\n\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t// normal\n\n\t\t\t\tconst x = initNormals[ 3 * j + 0 ] * sin;\n\t\t\t\tconst y = initNormals[ 3 * j + 1 ];\n\t\t\t\tconst z = initNormals[ 3 * j + 0 ] * cos;\n\n\t\t\t\tnormals.push( x, y, z );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let i = 0; i < segments; i ++ ) {\n\n\t\t\tfor ( let j = 0; j < ( points.length - 1 ); j ++ ) {\n\n\t\t\t\tconst base = j + i * points.length;\n\n\t\t\t\tconst a = base;\n\t\t\t\tconst b = base + points.length;\n\t\t\t\tconst c = base + points.length + 1;\n\t\t\t\tconst d = base + 1;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( c, d, b );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new LatheGeometry( data.points, data.segments, data.phiStart, data.phiLength );\n\n\t}\n\n}\n\nclass CapsuleGeometry extends LatheGeometry {\n\n\tconstructor( radius = 1, length = 1, capSegments = 4, radialSegments = 8 ) {\n\n\t\tconst path = new Path();\n\t\tpath.absarc( 0, - length / 2, radius, Math.PI * 1.5, 0 );\n\t\tpath.absarc( 0, length / 2, radius, 0, Math.PI * 0.5 );\n\n\t\tsuper( path.getPoints( capSegments ), radialSegments );\n\n\t\tthis.type = 'CapsuleGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tlength: length,\n\t\t\tcapSegments: capSegments,\n\t\t\tradialSegments: radialSegments,\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CapsuleGeometry( data.radius, data.length, data.capSegments, data.radialSegments );\n\n\t}\n\n}\n\nclass CircleGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, segments = 32, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CircleGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tsegments: segments,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tsegments = Math.max( 3, segments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\n\t\t// center point\n\n\t\tvertices.push( 0, 0, 0 );\n\t\tnormals.push( 0, 0, 1 );\n\t\tuvs.push( 0.5, 0.5 );\n\n\t\tfor ( let s = 0, i = 3; s <= segments; s ++, i += 3 ) {\n\n\t\t\tconst segment = thetaStart + s / segments * thetaLength;\n\n\t\t\t// vertex\n\n\t\t\tvertex.x = radius * Math.cos( segment );\n\t\t\tvertex.y = radius * Math.sin( segment );\n\n\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t// normal\n\n\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t// uvs\n\n\t\t\tuv.x = ( vertices[ i ] / radius + 1 ) / 2;\n\t\t\tuv.y = ( vertices[ i + 1 ] / radius + 1 ) / 2;\n\n\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\tindices.push( i, i + 1, 0 );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CircleGeometry( data.radius, data.segments, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass CylinderGeometry extends BufferGeometry {\n\n\tconstructor( radiusTop = 1, radiusBottom = 1, height = 1, radialSegments = 32, heightSegments = 1, openEnded = false, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CylinderGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradiusTop: radiusTop,\n\t\t\tradiusBottom: radiusBottom,\n\t\t\theight: height,\n\t\t\tradialSegments: radialSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\topenEnded: openEnded,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tconst scope = this;\n\n\t\tradialSegments = Math.floor( radialSegments );\n\t\theightSegments = Math.floor( heightSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet index = 0;\n\t\tconst indexArray = [];\n\t\tconst halfHeight = height / 2;\n\t\tlet groupStart = 0;\n\n\t\t// generate geometry\n\n\t\tgenerateTorso();\n\n\t\tif ( openEnded === false ) {\n\n\t\t\tif ( radiusTop > 0 ) generateCap( true );\n\t\t\tif ( radiusBottom > 0 ) generateCap( false );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\tfunction generateTorso() {\n\n\t\t\tconst normal = new Vector3();\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tlet groupCount = 0;\n\n\t\t\t// this will be used to calculate the normal\n\t\t\tconst slope = ( radiusBottom - radiusTop ) / height;\n\n\t\t\t// generate vertices, normals and uvs\n\n\t\t\tfor ( let y = 0; y <= heightSegments; y ++ ) {\n\n\t\t\t\tconst indexRow = [];\n\n\t\t\t\tconst v = y / heightSegments;\n\n\t\t\t\t// calculate the radius of the current row\n\n\t\t\t\tconst radius = v * ( radiusBottom - radiusTop ) + radiusTop;\n\n\t\t\t\tfor ( let x = 0; x <= radialSegments; x ++ ) {\n\n\t\t\t\t\tconst u = x / radialSegments;\n\n\t\t\t\t\tconst theta = u * thetaLength + thetaStart;\n\n\t\t\t\t\tconst sinTheta = Math.sin( theta );\n\t\t\t\t\tconst cosTheta = Math.cos( theta );\n\n\t\t\t\t\t// vertex\n\n\t\t\t\t\tvertex.x = radius * sinTheta;\n\t\t\t\t\tvertex.y = - v * height + halfHeight;\n\t\t\t\t\tvertex.z = radius * cosTheta;\n\t\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t\t// normal\n\n\t\t\t\t\tnormal.set( sinTheta, slope, cosTheta ).normalize();\n\t\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\t// uv\n\n\t\t\t\t\tuvs.push( u, 1 - v );\n\n\t\t\t\t\t// save index of vertex in respective row\n\n\t\t\t\t\tindexRow.push( index ++ );\n\n\t\t\t\t}\n\n\t\t\t\t// now save vertices of the row in our index array\n\n\t\t\t\tindexArray.push( indexRow );\n\n\t\t\t}\n\n\t\t\t// generate indices\n\n\t\t\tfor ( let x = 0; x < radialSegments; x ++ ) {\n\n\t\t\t\tfor ( let y = 0; y < heightSegments; y ++ ) {\n\n\t\t\t\t\t// we use the index array to access the correct indices\n\n\t\t\t\t\tconst a = indexArray[ y ][ x ];\n\t\t\t\t\tconst b = indexArray[ y + 1 ][ x ];\n\t\t\t\t\tconst c = indexArray[ y + 1 ][ x + 1 ];\n\t\t\t\t\tconst d = indexArray[ y ][ x + 1 ];\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t\t// update group counter\n\n\t\t\t\t\tgroupCount += 6;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, 0 );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t}\n\n\t\tfunction generateCap( top ) {\n\n\t\t\t// save the index of the first center vertex\n\t\t\tconst centerIndexStart = index;\n\n\t\t\tconst uv = new Vector2();\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tlet groupCount = 0;\n\n\t\t\tconst radius = ( top === true ) ? radiusTop : radiusBottom;\n\t\t\tconst sign = ( top === true ) ? 1 : - 1;\n\n\t\t\t// first we generate the center vertex data of the cap.\n\t\t\t// because the geometry needs one set of uvs per face,\n\t\t\t// we must generate a center vertex per face/segment\n\n\t\t\tfor ( let x = 1; x <= radialSegments; x ++ ) {\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertices.push( 0, halfHeight * sign, 0 );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, sign, 0 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( 0.5, 0.5 );\n\n\t\t\t\t// increase index\n\n\t\t\t\tindex ++;\n\n\t\t\t}\n\n\t\t\t// save the index of the last center vertex\n\t\t\tconst centerIndexEnd = index;\n\n\t\t\t// now we generate the surrounding vertices, normals and uvs\n\n\t\t\tfor ( let x = 0; x <= radialSegments; x ++ ) {\n\n\t\t\t\tconst u = x / radialSegments;\n\t\t\t\tconst theta = u * thetaLength + thetaStart;\n\n\t\t\t\tconst cosTheta = Math.cos( theta );\n\t\t\t\tconst sinTheta = Math.sin( theta );\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = radius * sinTheta;\n\t\t\t\tvertex.y = halfHeight * sign;\n\t\t\t\tvertex.z = radius * cosTheta;\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, sign, 0 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = ( cosTheta * 0.5 ) + 0.5;\n\t\t\t\tuv.y = ( sinTheta * 0.5 * sign ) + 0.5;\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t// increase index\n\n\t\t\t\tindex ++;\n\n\t\t\t}\n\n\t\t\t// generate indices\n\n\t\t\tfor ( let x = 0; x < radialSegments; x ++ ) {\n\n\t\t\t\tconst c = centerIndexStart + x;\n\t\t\t\tconst i = centerIndexEnd + x;\n\n\t\t\t\tif ( top === true ) {\n\n\t\t\t\t\t// face top\n\n\t\t\t\t\tindices.push( i, i + 1, c );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// face bottom\n\n\t\t\t\t\tindices.push( i + 1, i, c );\n\n\t\t\t\t}\n\n\t\t\t\tgroupCount += 3;\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, top === true ? 1 : 2 );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CylinderGeometry( data.radiusTop, data.radiusBottom, data.height, data.radialSegments, data.heightSegments, data.openEnded, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass ConeGeometry extends CylinderGeometry {\n\n\tconstructor( radius = 1, height = 1, radialSegments = 32, heightSegments = 1, openEnded = false, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper( 0, radius, height, radialSegments, heightSegments, openEnded, thetaStart, thetaLength );\n\n\t\tthis.type = 'ConeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\theight: height,\n\t\t\tradialSegments: radialSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\topenEnded: openEnded,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new ConeGeometry( data.radius, data.height, data.radialSegments, data.heightSegments, data.openEnded, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass PolyhedronGeometry extends BufferGeometry {\n\n\tconstructor( vertices = [], indices = [], radius = 1, detail = 0 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'PolyhedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tvertices: vertices,\n\t\t\tindices: indices,\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t\t// default buffer data\n\n\t\tconst vertexBuffer = [];\n\t\tconst uvBuffer = [];\n\n\t\t// the subdivision creates the vertex buffer data\n\n\t\tsubdivide( detail );\n\n\t\t// all vertices should lie on a conceptual sphere with a given radius\n\n\t\tapplyRadius( radius );\n\n\t\t// finally, create the uv data\n\n\t\tgenerateUVs();\n\n\t\t// build non-indexed geometry\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertexBuffer, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( vertexBuffer.slice(), 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvBuffer, 2 ) );\n\n\t\tif ( detail === 0 ) {\n\n\t\t\tthis.computeVertexNormals(); // flat normals\n\n\t\t} else {\n\n\t\t\tthis.normalizeNormals(); // smooth normals\n\n\t\t}\n\n\t\t// helper functions\n\n\t\tfunction subdivide( detail ) {\n\n\t\t\tconst a = new Vector3();\n\t\t\tconst b = new Vector3();\n\t\t\tconst c = new Vector3();\n\n\t\t\t// iterate over all faces and apply a subdivision with the given detail value\n\n\t\t\tfor ( let i = 0; i < indices.length; i += 3 ) {\n\n\t\t\t\t// get the vertices of the face\n\n\t\t\t\tgetVertexByIndex( indices[ i + 0 ], a );\n\t\t\t\tgetVertexByIndex( indices[ i + 1 ], b );\n\t\t\t\tgetVertexByIndex( indices[ i + 2 ], c );\n\n\t\t\t\t// perform subdivision\n\n\t\t\t\tsubdivideFace( a, b, c, detail );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction subdivideFace( a, b, c, detail ) {\n\n\t\t\tconst cols = detail + 1;\n\n\t\t\t// we use this multidimensional array as a data structure for creating the subdivision\n\n\t\t\tconst v = [];\n\n\t\t\t// construct all of the vertices for this subdivision\n\n\t\t\tfor ( let i = 0; i <= cols; i ++ ) {\n\n\t\t\t\tv[ i ] = [];\n\n\t\t\t\tconst aj = a.clone().lerp( c, i / cols );\n\t\t\t\tconst bj = b.clone().lerp( c, i / cols );\n\n\t\t\t\tconst rows = cols - i;\n\n\t\t\t\tfor ( let j = 0; j <= rows; j ++ ) {\n\n\t\t\t\t\tif ( j === 0 && i === cols ) {\n\n\t\t\t\t\t\tv[ i ][ j ] = aj;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tv[ i ][ j ] = aj.clone().lerp( bj, j / rows );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// construct all of the faces\n\n\t\t\tfor ( let i = 0; i < cols; i ++ ) {\n\n\t\t\t\tfor ( let j = 0; j < 2 * ( cols - i ) - 1; j ++ ) {\n\n\t\t\t\t\tconst k = Math.floor( j / 2 );\n\n\t\t\t\t\tif ( j % 2 === 0 ) {\n\n\t\t\t\t\t\tpushVertex( v[ i ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k ] );\n\t\t\t\t\t\tpushVertex( v[ i ][ k ] );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpushVertex( v[ i ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction applyRadius( radius ) {\n\n\t\t\tconst vertex = new Vector3();\n\n\t\t\t// iterate over the entire buffer and apply the radius to each vertex\n\n\t\t\tfor ( let i = 0; i < vertexBuffer.length; i += 3 ) {\n\n\t\t\t\tvertex.x = vertexBuffer[ i + 0 ];\n\t\t\t\tvertex.y = vertexBuffer[ i + 1 ];\n\t\t\t\tvertex.z = vertexBuffer[ i + 2 ];\n\n\t\t\t\tvertex.normalize().multiplyScalar( radius );\n\n\t\t\t\tvertexBuffer[ i + 0 ] = vertex.x;\n\t\t\t\tvertexBuffer[ i + 1 ] = vertex.y;\n\t\t\t\tvertexBuffer[ i + 2 ] = vertex.z;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateUVs() {\n\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tfor ( let i = 0; i < vertexBuffer.length; i += 3 ) {\n\n\t\t\t\tvertex.x = vertexBuffer[ i + 0 ];\n\t\t\t\tvertex.y = vertexBuffer[ i + 1 ];\n\t\t\t\tvertex.z = vertexBuffer[ i + 2 ];\n\n\t\t\t\tconst u = azimuth( vertex ) / 2 / Math.PI + 0.5;\n\t\t\t\tconst v = inclination( vertex ) / Math.PI + 0.5;\n\t\t\t\tuvBuffer.push( u, 1 - v );\n\n\t\t\t}\n\n\t\t\tcorrectUVs();\n\n\t\t\tcorrectSeam();\n\n\t\t}\n\n\t\tfunction correctSeam() {\n\n\t\t\t// handle case when face straddles the seam, see #3269\n\n\t\t\tfor ( let i = 0; i < uvBuffer.length; i += 6 ) {\n\n\t\t\t\t// uv data of a single face\n\n\t\t\t\tconst x0 = uvBuffer[ i + 0 ];\n\t\t\t\tconst x1 = uvBuffer[ i + 2 ];\n\t\t\t\tconst x2 = uvBuffer[ i + 4 ];\n\n\t\t\t\tconst max = Math.max( x0, x1, x2 );\n\t\t\t\tconst min = Math.min( x0, x1, x2 );\n\n\t\t\t\t// 0.9 is somewhat arbitrary\n\n\t\t\t\tif ( max > 0.9 && min < 0.1 ) {\n\n\t\t\t\t\tif ( x0 < 0.2 ) uvBuffer[ i + 0 ] += 1;\n\t\t\t\t\tif ( x1 < 0.2 ) uvBuffer[ i + 2 ] += 1;\n\t\t\t\t\tif ( x2 < 0.2 ) uvBuffer[ i + 4 ] += 1;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction pushVertex( vertex ) {\n\n\t\t\tvertexBuffer.push( vertex.x, vertex.y, vertex.z );\n\n\t\t}\n\n\t\tfunction getVertexByIndex( index, vertex ) {\n\n\t\t\tconst stride = index * 3;\n\n\t\t\tvertex.x = vertices[ stride + 0 ];\n\t\t\tvertex.y = vertices[ stride + 1 ];\n\t\t\tvertex.z = vertices[ stride + 2 ];\n\n\t\t}\n\n\t\tfunction correctUVs() {\n\n\t\t\tconst a = new Vector3();\n\t\t\tconst b = new Vector3();\n\t\t\tconst c = new Vector3();\n\n\t\t\tconst centroid = new Vector3();\n\n\t\t\tconst uvA = new Vector2();\n\t\t\tconst uvB = new Vector2();\n\t\t\tconst uvC = new Vector2();\n\n\t\t\tfor ( let i = 0, j = 0; i < vertexBuffer.length; i += 9, j += 6 ) {\n\n\t\t\t\ta.set( vertexBuffer[ i + 0 ], vertexBuffer[ i + 1 ], vertexBuffer[ i + 2 ] );\n\t\t\t\tb.set( vertexBuffer[ i + 3 ], vertexBuffer[ i + 4 ], vertexBuffer[ i + 5 ] );\n\t\t\t\tc.set( vertexBuffer[ i + 6 ], vertexBuffer[ i + 7 ], vertexBuffer[ i + 8 ] );\n\n\t\t\t\tuvA.set( uvBuffer[ j + 0 ], uvBuffer[ j + 1 ] );\n\t\t\t\tuvB.set( uvBuffer[ j + 2 ], uvBuffer[ j + 3 ] );\n\t\t\t\tuvC.set( uvBuffer[ j + 4 ], uvBuffer[ j + 5 ] );\n\n\t\t\t\tcentroid.copy( a ).add( b ).add( c ).divideScalar( 3 );\n\n\t\t\t\tconst azi = azimuth( centroid );\n\n\t\t\t\tcorrectUV( uvA, j + 0, a, azi );\n\t\t\t\tcorrectUV( uvB, j + 2, b, azi );\n\t\t\t\tcorrectUV( uvC, j + 4, c, azi );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction correctUV( uv, stride, vector, azimuth ) {\n\n\t\t\tif ( ( azimuth < 0 ) && ( uv.x === 1 ) ) {\n\n\t\t\t\tuvBuffer[ stride ] = uv.x - 1;\n\n\t\t\t}\n\n\t\t\tif ( ( vector.x === 0 ) && ( vector.z === 0 ) ) {\n\n\t\t\t\tuvBuffer[ stride ] = azimuth / 2 / Math.PI + 0.5;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Angle around the Y axis, counter-clockwise when looking from above.\n\n\t\tfunction azimuth( vector ) {\n\n\t\t\treturn Math.atan2( vector.z, - vector.x );\n\n\t\t}\n\n\n\t\t// Angle above the XZ plane.\n\n\t\tfunction inclination( vector ) {\n\n\t\t\treturn Math.atan2( - vector.y, Math.sqrt( ( vector.x * vector.x ) + ( vector.z * vector.z ) ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new PolyhedronGeometry( data.vertices, data.indices, data.radius, data.details );\n\n\t}\n\n}\n\nclass DodecahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst t = ( 1 + Math.sqrt( 5 ) ) / 2;\n\t\tconst r = 1 / t;\n\n\t\tconst vertices = [\n\n\t\t\t// (±1, ±1, ±1)\n\t\t\t- 1, - 1, - 1,\t- 1, - 1, 1,\n\t\t\t- 1, 1, - 1, - 1, 1, 1,\n\t\t\t1, - 1, - 1, 1, - 1, 1,\n\t\t\t1, 1, - 1, 1, 1, 1,\n\n\t\t\t// (0, ±1/φ, ±φ)\n\t\t\t0, - r, - t, 0, - r, t,\n\t\t\t0, r, - t, 0, r, t,\n\n\t\t\t// (±1/φ, ±φ, 0)\n\t\t\t- r, - t, 0, - r, t, 0,\n\t\t\tr, - t, 0, r, t, 0,\n\n\t\t\t// (±φ, 0, ±1/φ)\n\t\t\t- t, 0, - r, t, 0, - r,\n\t\t\t- t, 0, r, t, 0, r\n\t\t];\n\n\t\tconst indices = [\n\t\t\t3, 11, 7, \t3, 7, 15, \t3, 15, 13,\n\t\t\t7, 19, 17, \t7, 17, 6, \t7, 6, 15,\n\t\t\t17, 4, 8, \t17, 8, 10, \t17, 10, 6,\n\t\t\t8, 0, 16, \t8, 16, 2, \t8, 2, 10,\n\t\t\t0, 12, 1, \t0, 1, 18, \t0, 18, 16,\n\t\t\t6, 10, 2, \t6, 2, 13, \t6, 13, 15,\n\t\t\t2, 16, 18, \t2, 18, 3, \t2, 3, 13,\n\t\t\t18, 1, 9, \t18, 9, 11, \t18, 11, 3,\n\t\t\t4, 14, 12, \t4, 12, 0, \t4, 0, 8,\n\t\t\t11, 9, 5, \t11, 5, 19, \t11, 19, 7,\n\t\t\t19, 5, 14, \t19, 14, 4, \t19, 4, 17,\n\t\t\t1, 12, 14, \t1, 14, 5, \t1, 5, 9\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'DodecahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new DodecahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nconst _v0 = /*@__PURE__*/ new Vector3();\nconst _v1$1 = /*@__PURE__*/ new Vector3();\nconst _normal = /*@__PURE__*/ new Vector3();\nconst _triangle = /*@__PURE__*/ new Triangle();\n\nclass EdgesGeometry extends BufferGeometry {\n\n\tconstructor( geometry = null, thresholdAngle = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'EdgesGeometry';\n\n\t\tthis.parameters = {\n\t\t\tgeometry: geometry,\n\t\t\tthresholdAngle: thresholdAngle\n\t\t};\n\n\t\tif ( geometry !== null ) {\n\n\t\t\tconst precisionPoints = 4;\n\t\t\tconst precision = Math.pow( 10, precisionPoints );\n\t\t\tconst thresholdDot = Math.cos( DEG2RAD * thresholdAngle );\n\n\t\t\tconst indexAttr = geometry.getIndex();\n\t\t\tconst positionAttr = geometry.getAttribute( 'position' );\n\t\t\tconst indexCount = indexAttr ? indexAttr.count : positionAttr.count;\n\n\t\t\tconst indexArr = [ 0, 0, 0 ];\n\t\t\tconst vertKeys = [ 'a', 'b', 'c' ];\n\t\t\tconst hashes = new Array( 3 );\n\n\t\t\tconst edgeData = {};\n\t\t\tconst vertices = [];\n\t\t\tfor ( let i = 0; i < indexCount; i += 3 ) {\n\n\t\t\t\tif ( indexAttr ) {\n\n\t\t\t\t\tindexArr[ 0 ] = indexAttr.getX( i );\n\t\t\t\t\tindexArr[ 1 ] = indexAttr.getX( i + 1 );\n\t\t\t\t\tindexArr[ 2 ] = indexAttr.getX( i + 2 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tindexArr[ 0 ] = i;\n\t\t\t\t\tindexArr[ 1 ] = i + 1;\n\t\t\t\t\tindexArr[ 2 ] = i + 2;\n\n\t\t\t\t}\n\n\t\t\t\tconst { a, b, c } = _triangle;\n\t\t\t\ta.fromBufferAttribute( positionAttr, indexArr[ 0 ] );\n\t\t\t\tb.fromBufferAttribute( positionAttr, indexArr[ 1 ] );\n\t\t\t\tc.fromBufferAttribute( positionAttr, indexArr[ 2 ] );\n\t\t\t\t_triangle.getNormal( _normal );\n\n\t\t\t\t// create hashes for the edge from the vertices\n\t\t\t\thashes[ 0 ] = `${ Math.round( a.x * precision ) },${ Math.round( a.y * precision ) },${ Math.round( a.z * precision ) }`;\n\t\t\t\thashes[ 1 ] = `${ Math.round( b.x * precision ) },${ Math.round( b.y * precision ) },${ Math.round( b.z * precision ) }`;\n\t\t\t\thashes[ 2 ] = `${ Math.round( c.x * precision ) },${ Math.round( c.y * precision ) },${ Math.round( c.z * precision ) }`;\n\n\t\t\t\t// skip degenerate triangles\n\t\t\t\tif ( hashes[ 0 ] === hashes[ 1 ] || hashes[ 1 ] === hashes[ 2 ] || hashes[ 2 ] === hashes[ 0 ] ) {\n\n\t\t\t\t\tcontinue;\n\n\t\t\t\t}\n\n\t\t\t\t// iterate over every edge\n\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t// get the first and next vertex making up the edge\n\t\t\t\t\tconst jNext = ( j + 1 ) % 3;\n\t\t\t\t\tconst vecHash0 = hashes[ j ];\n\t\t\t\t\tconst vecHash1 = hashes[ jNext ];\n\t\t\t\t\tconst v0 = _triangle[ vertKeys[ j ] ];\n\t\t\t\t\tconst v1 = _triangle[ vertKeys[ jNext ] ];\n\n\t\t\t\t\tconst hash = `${ vecHash0 }_${ vecHash1 }`;\n\t\t\t\t\tconst reverseHash = `${ vecHash1 }_${ vecHash0 }`;\n\n\t\t\t\t\tif ( reverseHash in edgeData && edgeData[ reverseHash ] ) {\n\n\t\t\t\t\t\t// if we found a sibling edge add it into the vertex array if\n\t\t\t\t\t\t// it meets the angle threshold and delete the edge from the map.\n\t\t\t\t\t\tif ( _normal.dot( edgeData[ reverseHash ].normal ) <= thresholdDot ) {\n\n\t\t\t\t\t\t\tvertices.push( v0.x, v0.y, v0.z );\n\t\t\t\t\t\t\tvertices.push( v1.x, v1.y, v1.z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tedgeData[ reverseHash ] = null;\n\n\t\t\t\t\t} else if ( ! ( hash in edgeData ) ) {\n\n\t\t\t\t\t\t// if we've already got an edge here then skip adding a new one\n\t\t\t\t\t\tedgeData[ hash ] = {\n\n\t\t\t\t\t\t\tindex0: indexArr[ j ],\n\t\t\t\t\t\t\tindex1: indexArr[ jNext ],\n\t\t\t\t\t\t\tnormal: _normal.clone(),\n\n\t\t\t\t\t\t};\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// iterate over all remaining, unmatched edges and add them to the vertex array\n\t\t\tfor ( const key in edgeData ) {\n\n\t\t\t\tif ( edgeData[ key ] ) {\n\n\t\t\t\t\tconst { index0, index1 } = edgeData[ key ];\n\t\t\t\t\t_v0.fromBufferAttribute( positionAttr, index0 );\n\t\t\t\t\t_v1$1.fromBufferAttribute( positionAttr, index1 );\n\n\t\t\t\t\tvertices.push( _v0.x, _v0.y, _v0.z );\n\t\t\t\t\tvertices.push( _v1$1.x, _v1$1.y, _v1$1.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Shape extends Path {\n\n\tconstructor( points ) {\n\n\t\tsuper( points );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.type = 'Shape';\n\n\t\tthis.holes = [];\n\n\t}\n\n\tgetPointsHoles( divisions ) {\n\n\t\tconst holesPts = [];\n\n\t\tfor ( let i = 0, l = this.holes.length; i < l; i ++ ) {\n\n\t\t\tholesPts[ i ] = this.holes[ i ].getPoints( divisions );\n\n\t\t}\n\n\t\treturn holesPts;\n\n\t}\n\n\t// get points of shape and holes (keypoints based on segments parameter)\n\n\textractPoints( divisions ) {\n\n\t\treturn {\n\n\t\t\tshape: this.getPoints( divisions ),\n\t\t\tholes: this.getPointsHoles( divisions )\n\n\t\t};\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.holes = [];\n\n\t\tfor ( let i = 0, l = source.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = source.holes[ i ];\n\n\t\t\tthis.holes.push( hole.clone() );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.uuid = this.uuid;\n\t\tdata.holes = [];\n\n\t\tfor ( let i = 0, l = this.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = this.holes[ i ];\n\t\t\tdata.holes.push( hole.toJSON() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.uuid = json.uuid;\n\t\tthis.holes = [];\n\n\t\tfor ( let i = 0, l = json.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = json.holes[ i ];\n\t\t\tthis.holes.push( new Path().fromJSON( hole ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\n/**\n * Port from https://github.com/mapbox/earcut (v2.2.4)\n */\n\nconst Earcut = {\n\n\ttriangulate: function ( data, holeIndices, dim = 2 ) {\n\n\t\tconst hasHoles = holeIndices && holeIndices.length;\n\t\tconst outerLen = hasHoles ? holeIndices[ 0 ] * dim : data.length;\n\t\tlet outerNode = linkedList( data, 0, outerLen, dim, true );\n\t\tconst triangles = [];\n\n\t\tif ( ! outerNode || outerNode.next === outerNode.prev ) return triangles;\n\n\t\tlet minX, minY, maxX, maxY, x, y, invSize;\n\n\t\tif ( hasHoles ) outerNode = eliminateHoles( data, holeIndices, outerNode, dim );\n\n\t\t// if the shape is not too simple, we'll use z-order curve hash later; calculate polygon bbox\n\t\tif ( data.length > 80 * dim ) {\n\n\t\t\tminX = maxX = data[ 0 ];\n\t\t\tminY = maxY = data[ 1 ];\n\n\t\t\tfor ( let i = dim; i < outerLen; i += dim ) {\n\n\t\t\t\tx = data[ i ];\n\t\t\t\ty = data[ i + 1 ];\n\t\t\t\tif ( x < minX ) minX = x;\n\t\t\t\tif ( y < minY ) minY = y;\n\t\t\t\tif ( x > maxX ) maxX = x;\n\t\t\t\tif ( y > maxY ) maxY = y;\n\n\t\t\t}\n\n\t\t\t// minX, minY and invSize are later used to transform coords into integers for z-order calculation\n\t\t\tinvSize = Math.max( maxX - minX, maxY - minY );\n\t\t\tinvSize = invSize !== 0 ? 32767 / invSize : 0;\n\n\t\t}\n\n\t\tearcutLinked( outerNode, triangles, dim, minX, minY, invSize, 0 );\n\n\t\treturn triangles;\n\n\t}\n\n};\n\n// create a circular doubly linked list from polygon points in the specified winding order\nfunction linkedList( data, start, end, dim, clockwise ) {\n\n\tlet i, last;\n\n\tif ( clockwise === ( signedArea( data, start, end, dim ) > 0 ) ) {\n\n\t\tfor ( i = start; i < end; i += dim ) last = insertNode( i, data[ i ], data[ i + 1 ], last );\n\n\t} else {\n\n\t\tfor ( i = end - dim; i >= start; i -= dim ) last = insertNode( i, data[ i ], data[ i + 1 ], last );\n\n\t}\n\n\tif ( last && equals( last, last.next ) ) {\n\n\t\tremoveNode( last );\n\t\tlast = last.next;\n\n\t}\n\n\treturn last;\n\n}\n\n// eliminate colinear or duplicate points\nfunction filterPoints( start, end ) {\n\n\tif ( ! start ) return start;\n\tif ( ! end ) end = start;\n\n\tlet p = start,\n\t\tagain;\n\tdo {\n\n\t\tagain = false;\n\n\t\tif ( ! p.steiner && ( equals( p, p.next ) || area( p.prev, p, p.next ) === 0 ) ) {\n\n\t\t\tremoveNode( p );\n\t\t\tp = end = p.prev;\n\t\t\tif ( p === p.next ) break;\n\t\t\tagain = true;\n\n\t\t} else {\n\n\t\t\tp = p.next;\n\n\t\t}\n\n\t} while ( again || p !== end );\n\n\treturn end;\n\n}\n\n// main ear slicing loop which triangulates a polygon (given as a linked list)\nfunction earcutLinked( ear, triangles, dim, minX, minY, invSize, pass ) {\n\n\tif ( ! ear ) return;\n\n\t// interlink polygon nodes in z-order\n\tif ( ! pass && invSize ) indexCurve( ear, minX, minY, invSize );\n\n\tlet stop = ear,\n\t\tprev, next;\n\n\t// iterate through ears, slicing them one by one\n\twhile ( ear.prev !== ear.next ) {\n\n\t\tprev = ear.prev;\n\t\tnext = ear.next;\n\n\t\tif ( invSize ? isEarHashed( ear, minX, minY, invSize ) : isEar( ear ) ) {\n\n\t\t\t// cut off the triangle\n\t\t\ttriangles.push( prev.i / dim | 0 );\n\t\t\ttriangles.push( ear.i / dim | 0 );\n\t\t\ttriangles.push( next.i / dim | 0 );\n\n\t\t\tremoveNode( ear );\n\n\t\t\t// skipping the next vertex leads to less sliver triangles\n\t\t\tear = next.next;\n\t\t\tstop = next.next;\n\n\t\t\tcontinue;\n\n\t\t}\n\n\t\tear = next;\n\n\t\t// if we looped through the whole remaining polygon and can't find any more ears\n\t\tif ( ear === stop ) {\n\n\t\t\t// try filtering points and slicing again\n\t\t\tif ( ! pass ) {\n\n\t\t\t\tearcutLinked( filterPoints( ear ), triangles, dim, minX, minY, invSize, 1 );\n\n\t\t\t\t// if this didn't work, try curing all small self-intersections locally\n\n\t\t\t} else if ( pass === 1 ) {\n\n\t\t\t\tear = cureLocalIntersections( filterPoints( ear ), triangles, dim );\n\t\t\t\tearcutLinked( ear, triangles, dim, minX, minY, invSize, 2 );\n\n\t\t\t\t// as a last resort, try splitting the remaining polygon into two\n\n\t\t\t} else if ( pass === 2 ) {\n\n\t\t\t\tsplitEarcut( ear, triangles, dim, minX, minY, invSize );\n\n\t\t\t}\n\n\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n}\n\n// check whether a polygon node forms a valid ear with adjacent nodes\nfunction isEar( ear ) {\n\n\tconst a = ear.prev,\n\t\tb = ear,\n\t\tc = ear.next;\n\n\tif ( area( a, b, c ) >= 0 ) return false; // reflex, can't be an ear\n\n\t// now make sure we don't have other points inside the potential ear\n\tconst ax = a.x, bx = b.x, cx = c.x, ay = a.y, by = b.y, cy = c.y;\n\n\t// triangle bbox; min & max are calculated like this for speed\n\tconst x0 = ax < bx ? ( ax < cx ? ax : cx ) : ( bx < cx ? bx : cx ),\n\t\ty0 = ay < by ? ( ay < cy ? ay : cy ) : ( by < cy ? by : cy ),\n\t\tx1 = ax > bx ? ( ax > cx ? ax : cx ) : ( bx > cx ? bx : cx ),\n\t\ty1 = ay > by ? ( ay > cy ? ay : cy ) : ( by > cy ? by : cy );\n\n\tlet p = c.next;\n\twhile ( p !== a ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) &&\n\t\t\tarea( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.next;\n\n\t}\n\n\treturn true;\n\n}\n\nfunction isEarHashed( ear, minX, minY, invSize ) {\n\n\tconst a = ear.prev,\n\t\tb = ear,\n\t\tc = ear.next;\n\n\tif ( area( a, b, c ) >= 0 ) return false; // reflex, can't be an ear\n\n\tconst ax = a.x, bx = b.x, cx = c.x, ay = a.y, by = b.y, cy = c.y;\n\n\t// triangle bbox; min & max are calculated like this for speed\n\tconst x0 = ax < bx ? ( ax < cx ? ax : cx ) : ( bx < cx ? bx : cx ),\n\t\ty0 = ay < by ? ( ay < cy ? ay : cy ) : ( by < cy ? by : cy ),\n\t\tx1 = ax > bx ? ( ax > cx ? ax : cx ) : ( bx > cx ? bx : cx ),\n\t\ty1 = ay > by ? ( ay > cy ? ay : cy ) : ( by > cy ? by : cy );\n\n\t// z-order range for the current triangle bbox;\n\tconst minZ = zOrder( x0, y0, minX, minY, invSize ),\n\t\tmaxZ = zOrder( x1, y1, minX, minY, invSize );\n\n\tlet p = ear.prevZ,\n\t\tn = ear.nextZ;\n\n\t// look for points inside the triangle in both directions\n\twhile ( p && p.z >= minZ && n && n.z <= maxZ ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 && p !== a && p !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) && area( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.prevZ;\n\n\t\tif ( n.x >= x0 && n.x <= x1 && n.y >= y0 && n.y <= y1 && n !== a && n !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, n.x, n.y ) && area( n.prev, n, n.next ) >= 0 ) return false;\n\t\tn = n.nextZ;\n\n\t}\n\n\t// look for remaining points in decreasing z-order\n\twhile ( p && p.z >= minZ ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 && p !== a && p !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) && area( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.prevZ;\n\n\t}\n\n\t// look for remaining points in increasing z-order\n\twhile ( n && n.z <= maxZ ) {\n\n\t\tif ( n.x >= x0 && n.x <= x1 && n.y >= y0 && n.y <= y1 && n !== a && n !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, n.x, n.y ) && area( n.prev, n, n.next ) >= 0 ) return false;\n\t\tn = n.nextZ;\n\n\t}\n\n\treturn true;\n\n}\n\n// go through all polygon nodes and cure small local self-intersections\nfunction cureLocalIntersections( start, triangles, dim ) {\n\n\tlet p = start;\n\tdo {\n\n\t\tconst a = p.prev,\n\t\t\tb = p.next.next;\n\n\t\tif ( ! equals( a, b ) && intersects( a, p, p.next, b ) && locallyInside( a, b ) && locallyInside( b, a ) ) {\n\n\t\t\ttriangles.push( a.i / dim | 0 );\n\t\t\ttriangles.push( p.i / dim | 0 );\n\t\t\ttriangles.push( b.i / dim | 0 );\n\n\t\t\t// remove two nodes involved\n\t\t\tremoveNode( p );\n\t\t\tremoveNode( p.next );\n\n\t\t\tp = start = b;\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\treturn filterPoints( p );\n\n}\n\n// try splitting polygon into two and triangulate them independently\nfunction splitEarcut( start, triangles, dim, minX, minY, invSize ) {\n\n\t// look for a valid diagonal that divides the polygon into two\n\tlet a = start;\n\tdo {\n\n\t\tlet b = a.next.next;\n\t\twhile ( b !== a.prev ) {\n\n\t\t\tif ( a.i !== b.i && isValidDiagonal( a, b ) ) {\n\n\t\t\t\t// split the polygon in two by the diagonal\n\t\t\t\tlet c = splitPolygon( a, b );\n\n\t\t\t\t// filter colinear points around the cuts\n\t\t\t\ta = filterPoints( a, a.next );\n\t\t\t\tc = filterPoints( c, c.next );\n\n\t\t\t\t// run earcut on each half\n\t\t\t\tearcutLinked( a, triangles, dim, minX, minY, invSize, 0 );\n\t\t\t\tearcutLinked( c, triangles, dim, minX, minY, invSize, 0 );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tb = b.next;\n\n\t\t}\n\n\t\ta = a.next;\n\n\t} while ( a !== start );\n\n}\n\n// link every hole into the outer loop, producing a single-ring polygon without holes\nfunction eliminateHoles( data, holeIndices, outerNode, dim ) {\n\n\tconst queue = [];\n\tlet i, len, start, end, list;\n\n\tfor ( i = 0, len = holeIndices.length; i < len; i ++ ) {\n\n\t\tstart = holeIndices[ i ] * dim;\n\t\tend = i < len - 1 ? holeIndices[ i + 1 ] * dim : data.length;\n\t\tlist = linkedList( data, start, end, dim, false );\n\t\tif ( list === list.next ) list.steiner = true;\n\t\tqueue.push( getLeftmost( list ) );\n\n\t}\n\n\tqueue.sort( compareX );\n\n\t// process holes from left to right\n\tfor ( i = 0; i < queue.length; i ++ ) {\n\n\t\touterNode = eliminateHole( queue[ i ], outerNode );\n\n\t}\n\n\treturn outerNode;\n\n}\n\nfunction compareX( a, b ) {\n\n\treturn a.x - b.x;\n\n}\n\n// find a bridge between vertices that connects hole with an outer ring and link it\nfunction eliminateHole( hole, outerNode ) {\n\n\tconst bridge = findHoleBridge( hole, outerNode );\n\tif ( ! bridge ) {\n\n\t\treturn outerNode;\n\n\t}\n\n\tconst bridgeReverse = splitPolygon( bridge, hole );\n\n\t// filter collinear points around the cuts\n\tfilterPoints( bridgeReverse, bridgeReverse.next );\n\treturn filterPoints( bridge, bridge.next );\n\n}\n\n// David Eberly's algorithm for finding a bridge between hole and outer polygon\nfunction findHoleBridge( hole, outerNode ) {\n\n\tlet p = outerNode,\n\t\tqx = - Infinity,\n\t\tm;\n\n\tconst hx = hole.x, hy = hole.y;\n\n\t// find a segment intersected by a ray from the hole's leftmost point to the left;\n\t// segment's endpoint with lesser x will be potential connection point\n\tdo {\n\n\t\tif ( hy <= p.y && hy >= p.next.y && p.next.y !== p.y ) {\n\n\t\t\tconst x = p.x + ( hy - p.y ) * ( p.next.x - p.x ) / ( p.next.y - p.y );\n\t\t\tif ( x <= hx && x > qx ) {\n\n\t\t\t\tqx = x;\n\t\t\t\tm = p.x < p.next.x ? p : p.next;\n\t\t\t\tif ( x === hx ) return m; // hole touches outer segment; pick leftmost endpoint\n\n\t\t\t}\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== outerNode );\n\n\tif ( ! m ) return null;\n\n\t// look for points inside the triangle of hole point, segment intersection and endpoint;\n\t// if there are no points found, we have a valid connection;\n\t// otherwise choose the point of the minimum angle with the ray as connection point\n\n\tconst stop = m,\n\t\tmx = m.x,\n\t\tmy = m.y;\n\tlet tanMin = Infinity, tan;\n\n\tp = m;\n\n\tdo {\n\n\t\tif ( hx >= p.x && p.x >= mx && hx !== p.x &&\n\t\t\t\tpointInTriangle( hy < my ? hx : qx, hy, mx, my, hy < my ? qx : hx, hy, p.x, p.y ) ) {\n\n\t\t\ttan = Math.abs( hy - p.y ) / ( hx - p.x ); // tangential\n\n\t\t\tif ( locallyInside( p, hole ) && ( tan < tanMin || ( tan === tanMin && ( p.x > m.x || ( p.x === m.x && sectorContainsSector( m, p ) ) ) ) ) ) {\n\n\t\t\t\tm = p;\n\t\t\t\ttanMin = tan;\n\n\t\t\t}\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== stop );\n\n\treturn m;\n\n}\n\n// whether sector in vertex m contains sector in vertex p in the same coordinates\nfunction sectorContainsSector( m, p ) {\n\n\treturn area( m.prev, m, p.prev ) < 0 && area( p.next, m, m.next ) < 0;\n\n}\n\n// interlink polygon nodes in z-order\nfunction indexCurve( start, minX, minY, invSize ) {\n\n\tlet p = start;\n\tdo {\n\n\t\tif ( p.z === 0 ) p.z = zOrder( p.x, p.y, minX, minY, invSize );\n\t\tp.prevZ = p.prev;\n\t\tp.nextZ = p.next;\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\tp.prevZ.nextZ = null;\n\tp.prevZ = null;\n\n\tsortLinked( p );\n\n}\n\n// Simon Tatham's linked list merge sort algorithm\n// http://www.chiark.greenend.org.uk/~sgtatham/algorithms/listsort.html\nfunction sortLinked( list ) {\n\n\tlet i, p, q, e, tail, numMerges, pSize, qSize,\n\t\tinSize = 1;\n\n\tdo {\n\n\t\tp = list;\n\t\tlist = null;\n\t\ttail = null;\n\t\tnumMerges = 0;\n\n\t\twhile ( p ) {\n\n\t\t\tnumMerges ++;\n\t\t\tq = p;\n\t\t\tpSize = 0;\n\t\t\tfor ( i = 0; i < inSize; i ++ ) {\n\n\t\t\t\tpSize ++;\n\t\t\t\tq = q.nextZ;\n\t\t\t\tif ( ! q ) break;\n\n\t\t\t}\n\n\t\t\tqSize = inSize;\n\n\t\t\twhile ( pSize > 0 || ( qSize > 0 && q ) ) {\n\n\t\t\t\tif ( pSize !== 0 && ( qSize === 0 || ! q || p.z <= q.z ) ) {\n\n\t\t\t\t\te = p;\n\t\t\t\t\tp = p.nextZ;\n\t\t\t\t\tpSize --;\n\n\t\t\t\t} else {\n\n\t\t\t\t\te = q;\n\t\t\t\t\tq = q.nextZ;\n\t\t\t\t\tqSize --;\n\n\t\t\t\t}\n\n\t\t\t\tif ( tail ) tail.nextZ = e;\n\t\t\t\telse list = e;\n\n\t\t\t\te.prevZ = tail;\n\t\t\t\ttail = e;\n\n\t\t\t}\n\n\t\t\tp = q;\n\n\t\t}\n\n\t\ttail.nextZ = null;\n\t\tinSize *= 2;\n\n\t} while ( numMerges > 1 );\n\n\treturn list;\n\n}\n\n// z-order of a point given coords and inverse of the longer side of data bbox\nfunction zOrder( x, y, minX, minY, invSize ) {\n\n\t// coords are transformed into non-negative 15-bit integer range\n\tx = ( x - minX ) * invSize | 0;\n\ty = ( y - minY ) * invSize | 0;\n\n\tx = ( x | ( x << 8 ) ) & 0x00FF00FF;\n\tx = ( x | ( x << 4 ) ) & 0x0F0F0F0F;\n\tx = ( x | ( x << 2 ) ) & 0x33333333;\n\tx = ( x | ( x << 1 ) ) & 0x55555555;\n\n\ty = ( y | ( y << 8 ) ) & 0x00FF00FF;\n\ty = ( y | ( y << 4 ) ) & 0x0F0F0F0F;\n\ty = ( y | ( y << 2 ) ) & 0x33333333;\n\ty = ( y | ( y << 1 ) ) & 0x55555555;\n\n\treturn x | ( y << 1 );\n\n}\n\n// find the leftmost node of a polygon ring\nfunction getLeftmost( start ) {\n\n\tlet p = start,\n\t\tleftmost = start;\n\tdo {\n\n\t\tif ( p.x < leftmost.x || ( p.x === leftmost.x && p.y < leftmost.y ) ) leftmost = p;\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\treturn leftmost;\n\n}\n\n// check if a point lies within a convex triangle\nfunction pointInTriangle( ax, ay, bx, by, cx, cy, px, py ) {\n\n\treturn ( cx - px ) * ( ay - py ) >= ( ax - px ) * ( cy - py ) &&\n ( ax - px ) * ( by - py ) >= ( bx - px ) * ( ay - py ) &&\n ( bx - px ) * ( cy - py ) >= ( cx - px ) * ( by - py );\n\n}\n\n// check if a diagonal between two polygon nodes is valid (lies in polygon interior)\nfunction isValidDiagonal( a, b ) {\n\n\treturn a.next.i !== b.i && a.prev.i !== b.i && ! intersectsPolygon( a, b ) && // dones't intersect other edges\n ( locallyInside( a, b ) && locallyInside( b, a ) && middleInside( a, b ) && // locally visible\n ( area( a.prev, a, b.prev ) || area( a, b.prev, b ) ) || // does not create opposite-facing sectors\n equals( a, b ) && area( a.prev, a, a.next ) > 0 && area( b.prev, b, b.next ) > 0 ); // special zero-length case\n\n}\n\n// signed area of a triangle\nfunction area( p, q, r ) {\n\n\treturn ( q.y - p.y ) * ( r.x - q.x ) - ( q.x - p.x ) * ( r.y - q.y );\n\n}\n\n// check if two points are equal\nfunction equals( p1, p2 ) {\n\n\treturn p1.x === p2.x && p1.y === p2.y;\n\n}\n\n// check if two segments intersect\nfunction intersects( p1, q1, p2, q2 ) {\n\n\tconst o1 = sign( area( p1, q1, p2 ) );\n\tconst o2 = sign( area( p1, q1, q2 ) );\n\tconst o3 = sign( area( p2, q2, p1 ) );\n\tconst o4 = sign( area( p2, q2, q1 ) );\n\n\tif ( o1 !== o2 && o3 !== o4 ) return true; // general case\n\n\tif ( o1 === 0 && onSegment( p1, p2, q1 ) ) return true; // p1, q1 and p2 are collinear and p2 lies on p1q1\n\tif ( o2 === 0 && onSegment( p1, q2, q1 ) ) return true; // p1, q1 and q2 are collinear and q2 lies on p1q1\n\tif ( o3 === 0 && onSegment( p2, p1, q2 ) ) return true; // p2, q2 and p1 are collinear and p1 lies on p2q2\n\tif ( o4 === 0 && onSegment( p2, q1, q2 ) ) return true; // p2, q2 and q1 are collinear and q1 lies on p2q2\n\n\treturn false;\n\n}\n\n// for collinear points p, q, r, check if point q lies on segment pr\nfunction onSegment( p, q, r ) {\n\n\treturn q.x <= Math.max( p.x, r.x ) && q.x >= Math.min( p.x, r.x ) && q.y <= Math.max( p.y, r.y ) && q.y >= Math.min( p.y, r.y );\n\n}\n\nfunction sign( num ) {\n\n\treturn num > 0 ? 1 : num < 0 ? - 1 : 0;\n\n}\n\n// check if a polygon diagonal intersects any polygon segments\nfunction intersectsPolygon( a, b ) {\n\n\tlet p = a;\n\tdo {\n\n\t\tif ( p.i !== a.i && p.next.i !== a.i && p.i !== b.i && p.next.i !== b.i &&\n\t\t\tintersects( p, p.next, a, b ) ) return true;\n\t\tp = p.next;\n\n\t} while ( p !== a );\n\n\treturn false;\n\n}\n\n// check if a polygon diagonal is locally inside the polygon\nfunction locallyInside( a, b ) {\n\n\treturn area( a.prev, a, a.next ) < 0 ?\n\t\tarea( a, b, a.next ) >= 0 && area( a, a.prev, b ) >= 0 :\n\t\tarea( a, b, a.prev ) < 0 || area( a, a.next, b ) < 0;\n\n}\n\n// check if the middle point of a polygon diagonal is inside the polygon\nfunction middleInside( a, b ) {\n\n\tlet p = a,\n\t\tinside = false;\n\tconst px = ( a.x + b.x ) / 2,\n\t\tpy = ( a.y + b.y ) / 2;\n\tdo {\n\n\t\tif ( ( ( p.y > py ) !== ( p.next.y > py ) ) && p.next.y !== p.y &&\n\t\t\t( px < ( p.next.x - p.x ) * ( py - p.y ) / ( p.next.y - p.y ) + p.x ) )\n\t\t\tinside = ! inside;\n\t\tp = p.next;\n\n\t} while ( p !== a );\n\n\treturn inside;\n\n}\n\n// link two polygon vertices with a bridge; if the vertices belong to the same ring, it splits polygon into two;\n// if one belongs to the outer ring and another to a hole, it merges it into a single ring\nfunction splitPolygon( a, b ) {\n\n\tconst a2 = new Node( a.i, a.x, a.y ),\n\t\tb2 = new Node( b.i, b.x, b.y ),\n\t\tan = a.next,\n\t\tbp = b.prev;\n\n\ta.next = b;\n\tb.prev = a;\n\n\ta2.next = an;\n\tan.prev = a2;\n\n\tb2.next = a2;\n\ta2.prev = b2;\n\n\tbp.next = b2;\n\tb2.prev = bp;\n\n\treturn b2;\n\n}\n\n// create a node and optionally link it with previous one (in a circular doubly linked list)\nfunction insertNode( i, x, y, last ) {\n\n\tconst p = new Node( i, x, y );\n\n\tif ( ! last ) {\n\n\t\tp.prev = p;\n\t\tp.next = p;\n\n\t} else {\n\n\t\tp.next = last.next;\n\t\tp.prev = last;\n\t\tlast.next.prev = p;\n\t\tlast.next = p;\n\n\t}\n\n\treturn p;\n\n}\n\nfunction removeNode( p ) {\n\n\tp.next.prev = p.prev;\n\tp.prev.next = p.next;\n\n\tif ( p.prevZ ) p.prevZ.nextZ = p.nextZ;\n\tif ( p.nextZ ) p.nextZ.prevZ = p.prevZ;\n\n}\n\nfunction Node( i, x, y ) {\n\n\t// vertex index in coordinates array\n\tthis.i = i;\n\n\t// vertex coordinates\n\tthis.x = x;\n\tthis.y = y;\n\n\t// previous and next vertex nodes in a polygon ring\n\tthis.prev = null;\n\tthis.next = null;\n\n\t// z-order curve value\n\tthis.z = 0;\n\n\t// previous and next nodes in z-order\n\tthis.prevZ = null;\n\tthis.nextZ = null;\n\n\t// indicates whether this is a steiner point\n\tthis.steiner = false;\n\n}\n\nfunction signedArea( data, start, end, dim ) {\n\n\tlet sum = 0;\n\tfor ( let i = start, j = end - dim; i < end; i += dim ) {\n\n\t\tsum += ( data[ j ] - data[ i ] ) * ( data[ i + 1 ] + data[ j + 1 ] );\n\t\tj = i;\n\n\t}\n\n\treturn sum;\n\n}\n\nclass ShapeUtils {\n\n\t// calculate area of the contour polygon\n\n\tstatic area( contour ) {\n\n\t\tconst n = contour.length;\n\t\tlet a = 0.0;\n\n\t\tfor ( let p = n - 1, q = 0; q < n; p = q ++ ) {\n\n\t\t\ta += contour[ p ].x * contour[ q ].y - contour[ q ].x * contour[ p ].y;\n\n\t\t}\n\n\t\treturn a * 0.5;\n\n\t}\n\n\tstatic isClockWise( pts ) {\n\n\t\treturn ShapeUtils.area( pts ) < 0;\n\n\t}\n\n\tstatic triangulateShape( contour, holes ) {\n\n\t\tconst vertices = []; // flat array of vertices like [ x0,y0, x1,y1, x2,y2, ... ]\n\t\tconst holeIndices = []; // array of hole indices\n\t\tconst faces = []; // final array of vertex indices like [ [ a,b,d ], [ b,c,d ] ]\n\n\t\tremoveDupEndPts( contour );\n\t\taddContour( vertices, contour );\n\n\t\t//\n\n\t\tlet holeIndex = contour.length;\n\n\t\tholes.forEach( removeDupEndPts );\n\n\t\tfor ( let i = 0; i < holes.length; i ++ ) {\n\n\t\t\tholeIndices.push( holeIndex );\n\t\t\tholeIndex += holes[ i ].length;\n\t\t\taddContour( vertices, holes[ i ] );\n\n\t\t}\n\n\t\t//\n\n\t\tconst triangles = Earcut.triangulate( vertices, holeIndices );\n\n\t\t//\n\n\t\tfor ( let i = 0; i < triangles.length; i += 3 ) {\n\n\t\t\tfaces.push( triangles.slice( i, i + 3 ) );\n\n\t\t}\n\n\t\treturn faces;\n\n\t}\n\n}\n\nfunction removeDupEndPts( points ) {\n\n\tconst l = points.length;\n\n\tif ( l > 2 && points[ l - 1 ].equals( points[ 0 ] ) ) {\n\n\t\tpoints.pop();\n\n\t}\n\n}\n\nfunction addContour( vertices, contour ) {\n\n\tfor ( let i = 0; i < contour.length; i ++ ) {\n\n\t\tvertices.push( contour[ i ].x );\n\t\tvertices.push( contour[ i ].y );\n\n\t}\n\n}\n\n/**\n * Creates extruded geometry from a path shape.\n *\n * parameters = {\n *\n * curveSegments: , // number of points on the curves\n * steps: , // number of points for z-side extrusions / used for subdividing segments of extrude spline too\n * depth: , // Depth to extrude the shape\n *\n * bevelEnabled: , // turn on bevel\n * bevelThickness: , // how deep into the original shape bevel goes\n * bevelSize: , // how far from shape outline (including bevelOffset) is bevel\n * bevelOffset: , // how far from shape outline does bevel start\n * bevelSegments: , // number of bevel layers\n *\n * extrudePath: // curve to extrude shape along\n *\n * UVGenerator: // object that provides UV generator functions\n *\n * }\n */\n\n\nclass ExtrudeGeometry extends BufferGeometry {\n\n\tconstructor( shapes = new Shape( [ new Vector2( 0.5, 0.5 ), new Vector2( - 0.5, 0.5 ), new Vector2( - 0.5, - 0.5 ), new Vector2( 0.5, - 0.5 ) ] ), options = {} ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ExtrudeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tshapes: shapes,\n\t\t\toptions: options\n\t\t};\n\n\t\tshapes = Array.isArray( shapes ) ? shapes : [ shapes ];\n\n\t\tconst scope = this;\n\n\t\tconst verticesArray = [];\n\t\tconst uvArray = [];\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\t\t\taddShape( shape );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( verticesArray, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvArray, 2 ) );\n\n\t\tthis.computeVertexNormals();\n\n\t\t// functions\n\n\t\tfunction addShape( shape ) {\n\n\t\t\tconst placeholder = [];\n\n\t\t\t// options\n\n\t\t\tconst curveSegments = options.curveSegments !== undefined ? options.curveSegments : 12;\n\t\t\tconst steps = options.steps !== undefined ? options.steps : 1;\n\t\t\tconst depth = options.depth !== undefined ? options.depth : 1;\n\n\t\t\tlet bevelEnabled = options.bevelEnabled !== undefined ? options.bevelEnabled : true;\n\t\t\tlet bevelThickness = options.bevelThickness !== undefined ? options.bevelThickness : 0.2;\n\t\t\tlet bevelSize = options.bevelSize !== undefined ? options.bevelSize : bevelThickness - 0.1;\n\t\t\tlet bevelOffset = options.bevelOffset !== undefined ? options.bevelOffset : 0;\n\t\t\tlet bevelSegments = options.bevelSegments !== undefined ? options.bevelSegments : 3;\n\n\t\t\tconst extrudePath = options.extrudePath;\n\n\t\t\tconst uvgen = options.UVGenerator !== undefined ? options.UVGenerator : WorldUVGenerator;\n\n\t\t\t//\n\n\t\t\tlet extrudePts, extrudeByPath = false;\n\t\t\tlet splineTube, binormal, normal, position2;\n\n\t\t\tif ( extrudePath ) {\n\n\t\t\t\textrudePts = extrudePath.getSpacedPoints( steps );\n\n\t\t\t\textrudeByPath = true;\n\t\t\t\tbevelEnabled = false; // bevels not supported for path extrusion\n\n\t\t\t\t// SETUP TNB variables\n\n\t\t\t\t// TODO1 - have a .isClosed in spline?\n\n\t\t\t\tsplineTube = extrudePath.computeFrenetFrames( steps, false );\n\n\t\t\t\t// console.log(splineTube, 'splineTube', splineTube.normals.length, 'steps', steps, 'extrudePts', extrudePts.length);\n\n\t\t\t\tbinormal = new Vector3();\n\t\t\t\tnormal = new Vector3();\n\t\t\t\tposition2 = new Vector3();\n\n\t\t\t}\n\n\t\t\t// Safeguards if bevels are not enabled\n\n\t\t\tif ( ! bevelEnabled ) {\n\n\t\t\t\tbevelSegments = 0;\n\t\t\t\tbevelThickness = 0;\n\t\t\t\tbevelSize = 0;\n\t\t\t\tbevelOffset = 0;\n\n\t\t\t}\n\n\t\t\t// Variables initialization\n\n\t\t\tconst shapePoints = shape.extractPoints( curveSegments );\n\n\t\t\tlet vertices = shapePoints.shape;\n\t\t\tconst holes = shapePoints.holes;\n\n\t\t\tconst reverse = ! ShapeUtils.isClockWise( vertices );\n\n\t\t\tif ( reverse ) {\n\n\t\t\t\tvertices = vertices.reverse();\n\n\t\t\t\t// Maybe we should also check if holes are in the opposite direction, just to be safe ...\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\t\tif ( ShapeUtils.isClockWise( ahole ) ) {\n\n\t\t\t\t\t\tholes[ h ] = ahole.reverse();\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\tconst faces = ShapeUtils.triangulateShape( vertices, holes );\n\n\t\t\t/* Vertices */\n\n\t\t\tconst contour = vertices; // vertices has all points but contour has only points of circumference\n\n\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\tvertices = vertices.concat( ahole );\n\n\t\t\t}\n\n\n\t\t\tfunction scalePt2( pt, vec, size ) {\n\n\t\t\t\tif ( ! vec ) console.error( 'THREE.ExtrudeGeometry: vec does not exist' );\n\n\t\t\t\treturn pt.clone().addScaledVector( vec, size );\n\n\t\t\t}\n\n\t\t\tconst vlen = vertices.length, flen = faces.length;\n\n\n\t\t\t// Find directions for point movement\n\n\n\t\t\tfunction getBevelVec( inPt, inPrev, inNext ) {\n\n\t\t\t\t// computes for inPt the corresponding point inPt' on a new contour\n\t\t\t\t// shifted by 1 unit (length of normalized vector) to the left\n\t\t\t\t// if we walk along contour clockwise, this new contour is outside the old one\n\t\t\t\t//\n\t\t\t\t// inPt' is the intersection of the two lines parallel to the two\n\t\t\t\t// adjacent edges of inPt at a distance of 1 unit on the left side.\n\n\t\t\t\tlet v_trans_x, v_trans_y, shrink_by; // resulting translation vector for inPt\n\n\t\t\t\t// good reading for geometry algorithms (here: line-line intersection)\n\t\t\t\t// http://geomalgorithms.com/a05-_intersect-1.html\n\n\t\t\t\tconst v_prev_x = inPt.x - inPrev.x,\n\t\t\t\t\tv_prev_y = inPt.y - inPrev.y;\n\t\t\t\tconst v_next_x = inNext.x - inPt.x,\n\t\t\t\t\tv_next_y = inNext.y - inPt.y;\n\n\t\t\t\tconst v_prev_lensq = ( v_prev_x * v_prev_x + v_prev_y * v_prev_y );\n\n\t\t\t\t// check for collinear edges\n\t\t\t\tconst collinear0 = ( v_prev_x * v_next_y - v_prev_y * v_next_x );\n\n\t\t\t\tif ( Math.abs( collinear0 ) > Number.EPSILON ) {\n\n\t\t\t\t\t// not collinear\n\n\t\t\t\t\t// length of vectors for normalizing\n\n\t\t\t\t\tconst v_prev_len = Math.sqrt( v_prev_lensq );\n\t\t\t\t\tconst v_next_len = Math.sqrt( v_next_x * v_next_x + v_next_y * v_next_y );\n\n\t\t\t\t\t// shift adjacent points by unit vectors to the left\n\n\t\t\t\t\tconst ptPrevShift_x = ( inPrev.x - v_prev_y / v_prev_len );\n\t\t\t\t\tconst ptPrevShift_y = ( inPrev.y + v_prev_x / v_prev_len );\n\n\t\t\t\t\tconst ptNextShift_x = ( inNext.x - v_next_y / v_next_len );\n\t\t\t\t\tconst ptNextShift_y = ( inNext.y + v_next_x / v_next_len );\n\n\t\t\t\t\t// scaling factor for v_prev to intersection point\n\n\t\t\t\t\tconst sf = ( ( ptNextShift_x - ptPrevShift_x ) * v_next_y -\n\t\t\t\t\t\t\t( ptNextShift_y - ptPrevShift_y ) * v_next_x ) /\n\t\t\t\t\t\t( v_prev_x * v_next_y - v_prev_y * v_next_x );\n\n\t\t\t\t\t// vector from inPt to intersection point\n\n\t\t\t\t\tv_trans_x = ( ptPrevShift_x + v_prev_x * sf - inPt.x );\n\t\t\t\t\tv_trans_y = ( ptPrevShift_y + v_prev_y * sf - inPt.y );\n\n\t\t\t\t\t// Don't normalize!, otherwise sharp corners become ugly\n\t\t\t\t\t// but prevent crazy spikes\n\t\t\t\t\tconst v_trans_lensq = ( v_trans_x * v_trans_x + v_trans_y * v_trans_y );\n\t\t\t\t\tif ( v_trans_lensq <= 2 ) {\n\n\t\t\t\t\t\treturn new Vector2( v_trans_x, v_trans_y );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_trans_lensq / 2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// handle special case of collinear edges\n\n\t\t\t\t\tlet direction_eq = false; // assumes: opposite\n\n\t\t\t\t\tif ( v_prev_x > Number.EPSILON ) {\n\n\t\t\t\t\t\tif ( v_next_x > Number.EPSILON ) {\n\n\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( v_prev_x < - Number.EPSILON ) {\n\n\t\t\t\t\t\t\tif ( v_next_x < - Number.EPSILON ) {\n\n\t\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( Math.sign( v_prev_y ) === Math.sign( v_next_y ) ) {\n\n\t\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( direction_eq ) {\n\n\t\t\t\t\t\t// console.log(\"Warning: lines are a straight sequence\");\n\t\t\t\t\t\tv_trans_x = - v_prev_y;\n\t\t\t\t\t\tv_trans_y = v_prev_x;\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_prev_lensq );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// console.log(\"Warning: lines are a straight spike\");\n\t\t\t\t\t\tv_trans_x = v_prev_x;\n\t\t\t\t\t\tv_trans_y = v_prev_y;\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_prev_lensq / 2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\treturn new Vector2( v_trans_x / shrink_by, v_trans_y / shrink_by );\n\n\t\t\t}\n\n\n\t\t\tconst contourMovements = [];\n\n\t\t\tfor ( let i = 0, il = contour.length, j = il - 1, k = i + 1; i < il; i ++, j ++, k ++ ) {\n\n\t\t\t\tif ( j === il ) j = 0;\n\t\t\t\tif ( k === il ) k = 0;\n\n\t\t\t\t// (j)---(i)---(k)\n\t\t\t\t// console.log('i,j,k', i, j , k)\n\n\t\t\t\tcontourMovements[ i ] = getBevelVec( contour[ i ], contour[ j ], contour[ k ] );\n\n\t\t\t}\n\n\t\t\tconst holesMovements = [];\n\t\t\tlet oneHoleMovements, verticesMovements = contourMovements.concat();\n\n\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\toneHoleMovements = [];\n\n\t\t\t\tfor ( let i = 0, il = ahole.length, j = il - 1, k = i + 1; i < il; i ++, j ++, k ++ ) {\n\n\t\t\t\t\tif ( j === il ) j = 0;\n\t\t\t\t\tif ( k === il ) k = 0;\n\n\t\t\t\t\t// (j)---(i)---(k)\n\t\t\t\t\toneHoleMovements[ i ] = getBevelVec( ahole[ i ], ahole[ j ], ahole[ k ] );\n\n\t\t\t\t}\n\n\t\t\t\tholesMovements.push( oneHoleMovements );\n\t\t\t\tverticesMovements = verticesMovements.concat( oneHoleMovements );\n\n\t\t\t}\n\n\n\t\t\t// Loop bevelSegments, 1 for the front, 1 for the back\n\n\t\t\tfor ( let b = 0; b < bevelSegments; b ++ ) {\n\n\t\t\t\t//for ( b = bevelSegments; b > 0; b -- ) {\n\n\t\t\t\tconst t = b / bevelSegments;\n\t\t\t\tconst z = bevelThickness * Math.cos( t * Math.PI / 2 );\n\t\t\t\tconst bs = bevelSize * Math.sin( t * Math.PI / 2 ) + bevelOffset;\n\n\t\t\t\t// contract shape\n\n\t\t\t\tfor ( let i = 0, il = contour.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst vert = scalePt2( contour[ i ], contourMovements[ i ], bs );\n\n\t\t\t\t\tv( vert.x, vert.y, - z );\n\n\t\t\t\t}\n\n\t\t\t\t// expand holes\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\toneHoleMovements = holesMovements[ h ];\n\n\t\t\t\t\tfor ( let i = 0, il = ahole.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst vert = scalePt2( ahole[ i ], oneHoleMovements[ i ], bs );\n\n\t\t\t\t\t\tv( vert.x, vert.y, - z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst bs = bevelSize + bevelOffset;\n\n\t\t\t// Back facing vertices\n\n\t\t\tfor ( let i = 0; i < vlen; i ++ ) {\n\n\t\t\t\tconst vert = bevelEnabled ? scalePt2( vertices[ i ], verticesMovements[ i ], bs ) : vertices[ i ];\n\n\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\tv( vert.x, vert.y, 0 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// v( vert.x, vert.y + extrudePts[ 0 ].y, extrudePts[ 0 ].x );\n\n\t\t\t\t\tnormal.copy( splineTube.normals[ 0 ] ).multiplyScalar( vert.x );\n\t\t\t\t\tbinormal.copy( splineTube.binormals[ 0 ] ).multiplyScalar( vert.y );\n\n\t\t\t\t\tposition2.copy( extrudePts[ 0 ] ).add( normal ).add( binormal );\n\n\t\t\t\t\tv( position2.x, position2.y, position2.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Add stepped vertices...\n\t\t\t// Including front facing vertices\n\n\t\t\tfor ( let s = 1; s <= steps; s ++ ) {\n\n\t\t\t\tfor ( let i = 0; i < vlen; i ++ ) {\n\n\t\t\t\t\tconst vert = bevelEnabled ? scalePt2( vertices[ i ], verticesMovements[ i ], bs ) : vertices[ i ];\n\n\t\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\t\tv( vert.x, vert.y, depth / steps * s );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// v( vert.x, vert.y + extrudePts[ s - 1 ].y, extrudePts[ s - 1 ].x );\n\n\t\t\t\t\t\tnormal.copy( splineTube.normals[ s ] ).multiplyScalar( vert.x );\n\t\t\t\t\t\tbinormal.copy( splineTube.binormals[ s ] ).multiplyScalar( vert.y );\n\n\t\t\t\t\t\tposition2.copy( extrudePts[ s ] ).add( normal ).add( binormal );\n\n\t\t\t\t\t\tv( position2.x, position2.y, position2.z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\t// Add bevel segments planes\n\n\t\t\t//for ( b = 1; b <= bevelSegments; b ++ ) {\n\t\t\tfor ( let b = bevelSegments - 1; b >= 0; b -- ) {\n\n\t\t\t\tconst t = b / bevelSegments;\n\t\t\t\tconst z = bevelThickness * Math.cos( t * Math.PI / 2 );\n\t\t\t\tconst bs = bevelSize * Math.sin( t * Math.PI / 2 ) + bevelOffset;\n\n\t\t\t\t// contract shape\n\n\t\t\t\tfor ( let i = 0, il = contour.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst vert = scalePt2( contour[ i ], contourMovements[ i ], bs );\n\t\t\t\t\tv( vert.x, vert.y, depth + z );\n\n\t\t\t\t}\n\n\t\t\t\t// expand holes\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\toneHoleMovements = holesMovements[ h ];\n\n\t\t\t\t\tfor ( let i = 0, il = ahole.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst vert = scalePt2( ahole[ i ], oneHoleMovements[ i ], bs );\n\n\t\t\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\t\t\tv( vert.x, vert.y, depth + z );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tv( vert.x, vert.y + extrudePts[ steps - 1 ].y, extrudePts[ steps - 1 ].x + z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t/* Faces */\n\n\t\t\t// Top and bottom faces\n\n\t\t\tbuildLidFaces();\n\n\t\t\t// Sides faces\n\n\t\t\tbuildSideFaces();\n\n\n\t\t\t///// Internal functions\n\n\t\t\tfunction buildLidFaces() {\n\n\t\t\t\tconst start = verticesArray.length / 3;\n\n\t\t\t\tif ( bevelEnabled ) {\n\n\t\t\t\t\tlet layer = 0; // steps + 1\n\t\t\t\t\tlet offset = vlen * layer;\n\n\t\t\t\t\t// Bottom faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 2 ] + offset, face[ 1 ] + offset, face[ 0 ] + offset );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tlayer = steps + bevelSegments * 2;\n\t\t\t\t\toffset = vlen * layer;\n\n\t\t\t\t\t// Top faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 0 ] + offset, face[ 1 ] + offset, face[ 2 ] + offset );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// Bottom faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 2 ], face[ 1 ], face[ 0 ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// Top faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 0 ] + vlen * steps, face[ 1 ] + vlen * steps, face[ 2 ] + vlen * steps );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tscope.addGroup( start, verticesArray.length / 3 - start, 0 );\n\n\t\t\t}\n\n\t\t\t// Create faces for the z-sides of the shape\n\n\t\t\tfunction buildSideFaces() {\n\n\t\t\t\tconst start = verticesArray.length / 3;\n\t\t\t\tlet layeroffset = 0;\n\t\t\t\tsidewalls( contour, layeroffset );\n\t\t\t\tlayeroffset += contour.length;\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\tsidewalls( ahole, layeroffset );\n\n\t\t\t\t\t//, true\n\t\t\t\t\tlayeroffset += ahole.length;\n\n\t\t\t\t}\n\n\n\t\t\t\tscope.addGroup( start, verticesArray.length / 3 - start, 1 );\n\n\n\t\t\t}\n\n\t\t\tfunction sidewalls( contour, layeroffset ) {\n\n\t\t\t\tlet i = contour.length;\n\n\t\t\t\twhile ( -- i >= 0 ) {\n\n\t\t\t\t\tconst j = i;\n\t\t\t\t\tlet k = i - 1;\n\t\t\t\t\tif ( k < 0 ) k = contour.length - 1;\n\n\t\t\t\t\t//console.log('b', i,j, i-1, k,vertices.length);\n\n\t\t\t\t\tfor ( let s = 0, sl = ( steps + bevelSegments * 2 ); s < sl; s ++ ) {\n\n\t\t\t\t\t\tconst slen1 = vlen * s;\n\t\t\t\t\t\tconst slen2 = vlen * ( s + 1 );\n\n\t\t\t\t\t\tconst a = layeroffset + j + slen1,\n\t\t\t\t\t\t\tb = layeroffset + k + slen1,\n\t\t\t\t\t\t\tc = layeroffset + k + slen2,\n\t\t\t\t\t\t\td = layeroffset + j + slen2;\n\n\t\t\t\t\t\tf4( a, b, c, d );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tfunction v( x, y, z ) {\n\n\t\t\t\tplaceholder.push( x );\n\t\t\t\tplaceholder.push( y );\n\t\t\t\tplaceholder.push( z );\n\n\t\t\t}\n\n\n\t\t\tfunction f3( a, b, c ) {\n\n\t\t\t\taddVertex( a );\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( c );\n\n\t\t\t\tconst nextIndex = verticesArray.length / 3;\n\t\t\t\tconst uvs = uvgen.generateTopUV( scope, verticesArray, nextIndex - 3, nextIndex - 2, nextIndex - 1 );\n\n\t\t\t\taddUV( uvs[ 0 ] );\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 2 ] );\n\n\t\t\t}\n\n\t\t\tfunction f4( a, b, c, d ) {\n\n\t\t\t\taddVertex( a );\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( d );\n\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( c );\n\t\t\t\taddVertex( d );\n\n\n\t\t\t\tconst nextIndex = verticesArray.length / 3;\n\t\t\t\tconst uvs = uvgen.generateSideWallUV( scope, verticesArray, nextIndex - 6, nextIndex - 3, nextIndex - 2, nextIndex - 1 );\n\n\t\t\t\taddUV( uvs[ 0 ] );\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 3 ] );\n\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 2 ] );\n\t\t\t\taddUV( uvs[ 3 ] );\n\n\t\t\t}\n\n\t\t\tfunction addVertex( index ) {\n\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 0 ] );\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 1 ] );\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 2 ] );\n\n\t\t\t}\n\n\n\t\t\tfunction addUV( vector2 ) {\n\n\t\t\t\tuvArray.push( vector2.x );\n\t\t\t\tuvArray.push( vector2.y );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tconst shapes = this.parameters.shapes;\n\t\tconst options = this.parameters.options;\n\n\t\treturn toJSON$1( shapes, options, data );\n\n\t}\n\n\tstatic fromJSON( data, shapes ) {\n\n\t\tconst geometryShapes = [];\n\n\t\tfor ( let j = 0, jl = data.shapes.length; j < jl; j ++ ) {\n\n\t\t\tconst shape = shapes[ data.shapes[ j ] ];\n\n\t\t\tgeometryShapes.push( shape );\n\n\t\t}\n\n\t\tconst extrudePath = data.options.extrudePath;\n\n\t\tif ( extrudePath !== undefined ) {\n\n\t\t\tdata.options.extrudePath = new Curves[ extrudePath.type ]().fromJSON( extrudePath );\n\n\t\t}\n\n\t\treturn new ExtrudeGeometry( geometryShapes, data.options );\n\n\t}\n\n}\n\nconst WorldUVGenerator = {\n\n\tgenerateTopUV: function ( geometry, vertices, indexA, indexB, indexC ) {\n\n\t\tconst a_x = vertices[ indexA * 3 ];\n\t\tconst a_y = vertices[ indexA * 3 + 1 ];\n\t\tconst b_x = vertices[ indexB * 3 ];\n\t\tconst b_y = vertices[ indexB * 3 + 1 ];\n\t\tconst c_x = vertices[ indexC * 3 ];\n\t\tconst c_y = vertices[ indexC * 3 + 1 ];\n\n\t\treturn [\n\t\t\tnew Vector2( a_x, a_y ),\n\t\t\tnew Vector2( b_x, b_y ),\n\t\t\tnew Vector2( c_x, c_y )\n\t\t];\n\n\t},\n\n\tgenerateSideWallUV: function ( geometry, vertices, indexA, indexB, indexC, indexD ) {\n\n\t\tconst a_x = vertices[ indexA * 3 ];\n\t\tconst a_y = vertices[ indexA * 3 + 1 ];\n\t\tconst a_z = vertices[ indexA * 3 + 2 ];\n\t\tconst b_x = vertices[ indexB * 3 ];\n\t\tconst b_y = vertices[ indexB * 3 + 1 ];\n\t\tconst b_z = vertices[ indexB * 3 + 2 ];\n\t\tconst c_x = vertices[ indexC * 3 ];\n\t\tconst c_y = vertices[ indexC * 3 + 1 ];\n\t\tconst c_z = vertices[ indexC * 3 + 2 ];\n\t\tconst d_x = vertices[ indexD * 3 ];\n\t\tconst d_y = vertices[ indexD * 3 + 1 ];\n\t\tconst d_z = vertices[ indexD * 3 + 2 ];\n\n\t\tif ( Math.abs( a_y - b_y ) < Math.abs( a_x - b_x ) ) {\n\n\t\t\treturn [\n\t\t\t\tnew Vector2( a_x, 1 - a_z ),\n\t\t\t\tnew Vector2( b_x, 1 - b_z ),\n\t\t\t\tnew Vector2( c_x, 1 - c_z ),\n\t\t\t\tnew Vector2( d_x, 1 - d_z )\n\t\t\t];\n\n\t\t} else {\n\n\t\t\treturn [\n\t\t\t\tnew Vector2( a_y, 1 - a_z ),\n\t\t\t\tnew Vector2( b_y, 1 - b_z ),\n\t\t\t\tnew Vector2( c_y, 1 - c_z ),\n\t\t\t\tnew Vector2( d_y, 1 - d_z )\n\t\t\t];\n\n\t\t}\n\n\t}\n\n};\n\nfunction toJSON$1( shapes, options, data ) {\n\n\tdata.shapes = [];\n\n\tif ( Array.isArray( shapes ) ) {\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\n\t\t\tdata.shapes.push( shape.uuid );\n\n\t\t}\n\n\t} else {\n\n\t\tdata.shapes.push( shapes.uuid );\n\n\t}\n\n\tdata.options = Object.assign( {}, options );\n\n\tif ( options.extrudePath !== undefined ) data.options.extrudePath = options.extrudePath.toJSON();\n\n\treturn data;\n\n}\n\nclass IcosahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst t = ( 1 + Math.sqrt( 5 ) ) / 2;\n\n\t\tconst vertices = [\n\t\t\t- 1, t, 0, \t1, t, 0, \t- 1, - t, 0, \t1, - t, 0,\n\t\t\t0, - 1, t, \t0, 1, t,\t0, - 1, - t, \t0, 1, - t,\n\t\t\tt, 0, - 1, \tt, 0, 1, \t- t, 0, - 1, \t- t, 0, 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t0, 11, 5, \t0, 5, 1, \t0, 1, 7, \t0, 7, 10, \t0, 10, 11,\n\t\t\t1, 5, 9, \t5, 11, 4,\t11, 10, 2,\t10, 7, 6,\t7, 1, 8,\n\t\t\t3, 9, 4, \t3, 4, 2,\t3, 2, 6,\t3, 6, 8,\t3, 8, 9,\n\t\t\t4, 9, 5, \t2, 4, 11,\t6, 2, 10,\t8, 6, 7,\t9, 8, 1\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'IcosahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new IcosahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass OctahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst vertices = [\n\t\t\t1, 0, 0, \t- 1, 0, 0,\t0, 1, 0,\n\t\t\t0, - 1, 0, \t0, 0, 1,\t0, 0, - 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t0, 2, 4,\t0, 4, 3,\t0, 3, 5,\n\t\t\t0, 5, 2,\t1, 2, 5,\t1, 5, 3,\n\t\t\t1, 3, 4,\t1, 4, 2\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'OctahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new OctahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass RingGeometry extends BufferGeometry {\n\n\tconstructor( innerRadius = 0.5, outerRadius = 1, thetaSegments = 32, phiSegments = 1, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'RingGeometry';\n\n\t\tthis.parameters = {\n\t\t\tinnerRadius: innerRadius,\n\t\t\touterRadius: outerRadius,\n\t\t\tthetaSegments: thetaSegments,\n\t\t\tphiSegments: phiSegments,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tthetaSegments = Math.max( 3, thetaSegments );\n\t\tphiSegments = Math.max( 1, phiSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// some helper variables\n\n\t\tlet radius = innerRadius;\n\t\tconst radiusStep = ( ( outerRadius - innerRadius ) / phiSegments );\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let j = 0; j <= phiSegments; j ++ ) {\n\n\t\t\tfor ( let i = 0; i <= thetaSegments; i ++ ) {\n\n\t\t\t\t// values are generate from the inside of the ring to the outside\n\n\t\t\t\tconst segment = thetaStart + i / thetaSegments * thetaLength;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = radius * Math.cos( segment );\n\t\t\t\tvertex.y = radius * Math.sin( segment );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = ( vertex.x / outerRadius + 1 ) / 2;\n\t\t\t\tuv.y = ( vertex.y / outerRadius + 1 ) / 2;\n\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t}\n\n\t\t\t// increase the radius for next row of vertices\n\n\t\t\tradius += radiusStep;\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let j = 0; j < phiSegments; j ++ ) {\n\n\t\t\tconst thetaSegmentLevel = j * ( thetaSegments + 1 );\n\n\t\t\tfor ( let i = 0; i < thetaSegments; i ++ ) {\n\n\t\t\t\tconst segment = i + thetaSegmentLevel;\n\n\t\t\t\tconst a = segment;\n\t\t\t\tconst b = segment + thetaSegments + 1;\n\t\t\t\tconst c = segment + thetaSegments + 2;\n\t\t\t\tconst d = segment + 1;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new RingGeometry( data.innerRadius, data.outerRadius, data.thetaSegments, data.phiSegments, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass ShapeGeometry extends BufferGeometry {\n\n\tconstructor( shapes = new Shape( [ new Vector2( 0, 0.5 ), new Vector2( - 0.5, - 0.5 ), new Vector2( 0.5, - 0.5 ) ] ), curveSegments = 12 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ShapeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tshapes: shapes,\n\t\t\tcurveSegments: curveSegments\n\t\t};\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet groupStart = 0;\n\t\tlet groupCount = 0;\n\n\t\t// allow single and array values for \"shapes\" parameter\n\n\t\tif ( Array.isArray( shapes ) === false ) {\n\n\t\t\taddShape( shapes );\n\n\t\t} else {\n\n\t\t\tfor ( let i = 0; i < shapes.length; i ++ ) {\n\n\t\t\t\taddShape( shapes[ i ] );\n\n\t\t\t\tthis.addGroup( groupStart, groupCount, i ); // enables MultiMaterial support\n\n\t\t\t\tgroupStart += groupCount;\n\t\t\t\tgroupCount = 0;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\n\t\t// helper functions\n\n\t\tfunction addShape( shape ) {\n\n\t\t\tconst indexOffset = vertices.length / 3;\n\t\t\tconst points = shape.extractPoints( curveSegments );\n\n\t\t\tlet shapeVertices = points.shape;\n\t\t\tconst shapeHoles = points.holes;\n\n\t\t\t// check direction of vertices\n\n\t\t\tif ( ShapeUtils.isClockWise( shapeVertices ) === false ) {\n\n\t\t\t\tshapeVertices = shapeVertices.reverse();\n\n\t\t\t}\n\n\t\t\tfor ( let i = 0, l = shapeHoles.length; i < l; i ++ ) {\n\n\t\t\t\tconst shapeHole = shapeHoles[ i ];\n\n\t\t\t\tif ( ShapeUtils.isClockWise( shapeHole ) === true ) {\n\n\t\t\t\t\tshapeHoles[ i ] = shapeHole.reverse();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst faces = ShapeUtils.triangulateShape( shapeVertices, shapeHoles );\n\n\t\t\t// join vertices of inner and outer paths to a single array\n\n\t\t\tfor ( let i = 0, l = shapeHoles.length; i < l; i ++ ) {\n\n\t\t\t\tconst shapeHole = shapeHoles[ i ];\n\t\t\t\tshapeVertices = shapeVertices.concat( shapeHole );\n\n\t\t\t}\n\n\t\t\t// vertices, normals, uvs\n\n\t\t\tfor ( let i = 0, l = shapeVertices.length; i < l; i ++ ) {\n\n\t\t\t\tconst vertex = shapeVertices[ i ];\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, 0 );\n\t\t\t\tnormals.push( 0, 0, 1 );\n\t\t\t\tuvs.push( vertex.x, vertex.y ); // world uvs\n\n\t\t\t}\n\n\t\t\t// indices\n\n\t\t\tfor ( let i = 0, l = faces.length; i < l; i ++ ) {\n\n\t\t\t\tconst face = faces[ i ];\n\n\t\t\t\tconst a = face[ 0 ] + indexOffset;\n\t\t\t\tconst b = face[ 1 ] + indexOffset;\n\t\t\t\tconst c = face[ 2 ] + indexOffset;\n\n\t\t\t\tindices.push( a, b, c );\n\t\t\t\tgroupCount += 3;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tconst shapes = this.parameters.shapes;\n\n\t\treturn toJSON( shapes, data );\n\n\t}\n\n\tstatic fromJSON( data, shapes ) {\n\n\t\tconst geometryShapes = [];\n\n\t\tfor ( let j = 0, jl = data.shapes.length; j < jl; j ++ ) {\n\n\t\t\tconst shape = shapes[ data.shapes[ j ] ];\n\n\t\t\tgeometryShapes.push( shape );\n\n\t\t}\n\n\t\treturn new ShapeGeometry( geometryShapes, data.curveSegments );\n\n\t}\n\n}\n\nfunction toJSON( shapes, data ) {\n\n\tdata.shapes = [];\n\n\tif ( Array.isArray( shapes ) ) {\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\n\t\t\tdata.shapes.push( shape.uuid );\n\n\t\t}\n\n\t} else {\n\n\t\tdata.shapes.push( shapes.uuid );\n\n\t}\n\n\treturn data;\n\n}\n\nclass SphereGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, widthSegments = 32, heightSegments = 16, phiStart = 0, phiLength = Math.PI * 2, thetaStart = 0, thetaLength = Math.PI ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'SphereGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\tphiStart: phiStart,\n\t\t\tphiLength: phiLength,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\twidthSegments = Math.max( 3, Math.floor( widthSegments ) );\n\t\theightSegments = Math.max( 2, Math.floor( heightSegments ) );\n\n\t\tconst thetaEnd = Math.min( thetaStart + thetaLength, Math.PI );\n\n\t\tlet index = 0;\n\t\tconst grid = [];\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let iy = 0; iy <= heightSegments; iy ++ ) {\n\n\t\t\tconst verticesRow = [];\n\n\t\t\tconst v = iy / heightSegments;\n\n\t\t\t// special case for the poles\n\n\t\t\tlet uOffset = 0;\n\n\t\t\tif ( iy === 0 && thetaStart === 0 ) {\n\n\t\t\t\tuOffset = 0.5 / widthSegments;\n\n\t\t\t} else if ( iy === heightSegments && thetaEnd === Math.PI ) {\n\n\t\t\t\tuOffset = - 0.5 / widthSegments;\n\n\t\t\t}\n\n\t\t\tfor ( let ix = 0; ix <= widthSegments; ix ++ ) {\n\n\t\t\t\tconst u = ix / widthSegments;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = - radius * Math.cos( phiStart + u * phiLength ) * Math.sin( thetaStart + v * thetaLength );\n\t\t\t\tvertex.y = radius * Math.cos( thetaStart + v * thetaLength );\n\t\t\t\tvertex.z = radius * Math.sin( phiStart + u * phiLength ) * Math.sin( thetaStart + v * thetaLength );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormal.copy( vertex ).normalize();\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( u + uOffset, 1 - v );\n\n\t\t\t\tverticesRow.push( index ++ );\n\n\t\t\t}\n\n\t\t\tgrid.push( verticesRow );\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let iy = 0; iy < heightSegments; iy ++ ) {\n\n\t\t\tfor ( let ix = 0; ix < widthSegments; ix ++ ) {\n\n\t\t\t\tconst a = grid[ iy ][ ix + 1 ];\n\t\t\t\tconst b = grid[ iy ][ ix ];\n\t\t\t\tconst c = grid[ iy + 1 ][ ix ];\n\t\t\t\tconst d = grid[ iy + 1 ][ ix + 1 ];\n\n\t\t\t\tif ( iy !== 0 || thetaStart > 0 ) indices.push( a, b, d );\n\t\t\t\tif ( iy !== heightSegments - 1 || thetaEnd < Math.PI ) indices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new SphereGeometry( data.radius, data.widthSegments, data.heightSegments, data.phiStart, data.phiLength, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass TetrahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst vertices = [\n\t\t\t1, 1, 1, \t- 1, - 1, 1, \t- 1, 1, - 1, \t1, - 1, - 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t2, 1, 0, \t0, 3, 2,\t1, 3, 0,\t2, 3, 1\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'TetrahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TetrahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass TorusGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, tube = 0.4, radialSegments = 12, tubularSegments = 48, arc = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TorusGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\ttube: tube,\n\t\t\tradialSegments: radialSegments,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tarc: arc\n\t\t};\n\n\t\tradialSegments = Math.floor( radialSegments );\n\t\ttubularSegments = Math.floor( tubularSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst center = new Vector3();\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\tfor ( let i = 0; i <= tubularSegments; i ++ ) {\n\n\t\t\t\tconst u = i / tubularSegments * arc;\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = ( radius + tube * Math.cos( v ) ) * Math.cos( u );\n\t\t\t\tvertex.y = ( radius + tube * Math.cos( v ) ) * Math.sin( u );\n\t\t\t\tvertex.z = tube * Math.sin( v );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tcenter.x = radius * Math.cos( u );\n\t\t\t\tcenter.y = radius * Math.sin( u );\n\t\t\t\tnormal.subVectors( vertex, center ).normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( i / tubularSegments );\n\t\t\t\tuvs.push( j / radialSegments );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate indices\n\n\t\tfor ( let j = 1; j <= radialSegments; j ++ ) {\n\n\t\t\tfor ( let i = 1; i <= tubularSegments; i ++ ) {\n\n\t\t\t\t// indices\n\n\t\t\t\tconst a = ( tubularSegments + 1 ) * j + i - 1;\n\t\t\t\tconst b = ( tubularSegments + 1 ) * ( j - 1 ) + i - 1;\n\t\t\t\tconst c = ( tubularSegments + 1 ) * ( j - 1 ) + i;\n\t\t\t\tconst d = ( tubularSegments + 1 ) * j + i;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TorusGeometry( data.radius, data.tube, data.radialSegments, data.tubularSegments, data.arc );\n\n\t}\n\n}\n\nclass TorusKnotGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, tube = 0.4, tubularSegments = 64, radialSegments = 8, p = 2, q = 3 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TorusKnotGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\ttube: tube,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tradialSegments: radialSegments,\n\t\t\tp: p,\n\t\t\tq: q\n\t\t};\n\n\t\ttubularSegments = Math.floor( tubularSegments );\n\t\tradialSegments = Math.floor( radialSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\tconst P1 = new Vector3();\n\t\tconst P2 = new Vector3();\n\n\t\tconst B = new Vector3();\n\t\tconst T = new Vector3();\n\t\tconst N = new Vector3();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let i = 0; i <= tubularSegments; ++ i ) {\n\n\t\t\t// the radian \"u\" is used to calculate the position on the torus curve of the current tubular segment\n\n\t\t\tconst u = i / tubularSegments * p * Math.PI * 2;\n\n\t\t\t// now we calculate two points. P1 is our current position on the curve, P2 is a little farther ahead.\n\t\t\t// these points are used to create a special \"coordinate space\", which is necessary to calculate the correct vertex positions\n\n\t\t\tcalculatePositionOnCurve( u, p, q, radius, P1 );\n\t\t\tcalculatePositionOnCurve( u + 0.01, p, q, radius, P2 );\n\n\t\t\t// calculate orthonormal basis\n\n\t\t\tT.subVectors( P2, P1 );\n\t\t\tN.addVectors( P2, P1 );\n\t\t\tB.crossVectors( T, N );\n\t\t\tN.crossVectors( B, T );\n\n\t\t\t// normalize B, N. T can be ignored, we don't use it\n\n\t\t\tB.normalize();\n\t\t\tN.normalize();\n\n\t\t\tfor ( let j = 0; j <= radialSegments; ++ j ) {\n\n\t\t\t\t// now calculate the vertices. they are nothing more than an extrusion of the torus curve.\n\t\t\t\t// because we extrude a shape in the xy-plane, there is no need to calculate a z-value.\n\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\t\t\t\tconst cx = - tube * Math.cos( v );\n\t\t\t\tconst cy = tube * Math.sin( v );\n\n\t\t\t\t// now calculate the final vertex position.\n\t\t\t\t// first we orient the extrusion with our basis vectors, then we add it to the current position on the curve\n\n\t\t\t\tvertex.x = P1.x + ( cx * N.x + cy * B.x );\n\t\t\t\tvertex.y = P1.y + ( cx * N.y + cy * B.y );\n\t\t\t\tvertex.z = P1.z + ( cx * N.z + cy * B.z );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal (P1 is always the center/origin of the extrusion, thus we can use it to calculate the normal)\n\n\t\t\t\tnormal.subVectors( vertex, P1 ).normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( i / tubularSegments );\n\t\t\t\tuvs.push( j / radialSegments );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate indices\n\n\t\tfor ( let j = 1; j <= tubularSegments; j ++ ) {\n\n\t\t\tfor ( let i = 1; i <= radialSegments; i ++ ) {\n\n\t\t\t\t// indices\n\n\t\t\t\tconst a = ( radialSegments + 1 ) * ( j - 1 ) + ( i - 1 );\n\t\t\t\tconst b = ( radialSegments + 1 ) * j + ( i - 1 );\n\t\t\t\tconst c = ( radialSegments + 1 ) * j + i;\n\t\t\t\tconst d = ( radialSegments + 1 ) * ( j - 1 ) + i;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\t// this function calculates the current position on the torus curve\n\n\t\tfunction calculatePositionOnCurve( u, p, q, radius, position ) {\n\n\t\t\tconst cu = Math.cos( u );\n\t\t\tconst su = Math.sin( u );\n\t\t\tconst quOverP = q / p * u;\n\t\t\tconst cs = Math.cos( quOverP );\n\n\t\t\tposition.x = radius * ( 2 + cs ) * 0.5 * cu;\n\t\t\tposition.y = radius * ( 2 + cs ) * su * 0.5;\n\t\t\tposition.z = radius * Math.sin( quOverP ) * 0.5;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TorusKnotGeometry( data.radius, data.tube, data.tubularSegments, data.radialSegments, data.p, data.q );\n\n\t}\n\n}\n\nclass TubeGeometry extends BufferGeometry {\n\n\tconstructor( path = new QuadraticBezierCurve3( new Vector3( - 1, - 1, 0 ), new Vector3( - 1, 1, 0 ), new Vector3( 1, 1, 0 ) ), tubularSegments = 64, radius = 1, radialSegments = 8, closed = false ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TubeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tpath: path,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tradius: radius,\n\t\t\tradialSegments: radialSegments,\n\t\t\tclosed: closed\n\t\t};\n\n\t\tconst frames = path.computeFrenetFrames( tubularSegments, closed );\n\n\t\t// expose internals\n\n\t\tthis.tangents = frames.tangents;\n\t\tthis.normals = frames.normals;\n\t\tthis.binormals = frames.binormals;\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\t\tconst uv = new Vector2();\n\t\tlet P = new Vector3();\n\n\t\t// buffer\n\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\t\tconst indices = [];\n\n\t\t// create buffer data\n\n\t\tgenerateBufferData();\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\t// functions\n\n\t\tfunction generateBufferData() {\n\n\t\t\tfor ( let i = 0; i < tubularSegments; i ++ ) {\n\n\t\t\t\tgenerateSegment( i );\n\n\t\t\t}\n\n\t\t\t// if the geometry is not closed, generate the last row of vertices and normals\n\t\t\t// at the regular position on the given path\n\t\t\t//\n\t\t\t// if the geometry is closed, duplicate the first row of vertices and normals (uvs will differ)\n\n\t\t\tgenerateSegment( ( closed === false ) ? tubularSegments : 0 );\n\n\t\t\t// uvs are generated in a separate function.\n\t\t\t// this makes it easy compute correct values for closed geometries\n\n\t\t\tgenerateUVs();\n\n\t\t\t// finally create faces\n\n\t\t\tgenerateIndices();\n\n\t\t}\n\n\t\tfunction generateSegment( i ) {\n\n\t\t\t// we use getPointAt to sample evenly distributed points from the given path\n\n\t\t\tP = path.getPointAt( i / tubularSegments, P );\n\n\t\t\t// retrieve corresponding normal and binormal\n\n\t\t\tconst N = frames.normals[ i ];\n\t\t\tconst B = frames.binormals[ i ];\n\n\t\t\t// generate normals and vertices for the current segment\n\n\t\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\n\t\t\t\tconst sin = Math.sin( v );\n\t\t\t\tconst cos = - Math.cos( v );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormal.x = ( cos * N.x + sin * B.x );\n\t\t\t\tnormal.y = ( cos * N.y + sin * B.y );\n\t\t\t\tnormal.z = ( cos * N.z + sin * B.z );\n\t\t\t\tnormal.normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = P.x + radius * normal.x;\n\t\t\t\tvertex.y = P.y + radius * normal.y;\n\t\t\t\tvertex.z = P.z + radius * normal.z;\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateIndices() {\n\n\t\t\tfor ( let j = 1; j <= tubularSegments; j ++ ) {\n\n\t\t\t\tfor ( let i = 1; i <= radialSegments; i ++ ) {\n\n\t\t\t\t\tconst a = ( radialSegments + 1 ) * ( j - 1 ) + ( i - 1 );\n\t\t\t\t\tconst b = ( radialSegments + 1 ) * j + ( i - 1 );\n\t\t\t\t\tconst c = ( radialSegments + 1 ) * j + i;\n\t\t\t\t\tconst d = ( radialSegments + 1 ) * ( j - 1 ) + i;\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateUVs() {\n\n\t\t\tfor ( let i = 0; i <= tubularSegments; i ++ ) {\n\n\t\t\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\t\t\tuv.x = i / tubularSegments;\n\t\t\t\t\tuv.y = j / radialSegments;\n\n\t\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.path = this.parameters.path.toJSON();\n\n\t\treturn data;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\t// This only works for built-in curves (e.g. CatmullRomCurve3).\n\t\t// User defined curves or instances of CurvePath will not be deserialized.\n\t\treturn new TubeGeometry(\n\t\t\tnew Curves[ data.path.type ]().fromJSON( data.path ),\n\t\t\tdata.tubularSegments,\n\t\t\tdata.radius,\n\t\t\tdata.radialSegments,\n\t\t\tdata.closed\n\t\t);\n\n\t}\n\n}\n\nclass WireframeGeometry extends BufferGeometry {\n\n\tconstructor( geometry = null ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'WireframeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tgeometry: geometry\n\t\t};\n\n\t\tif ( geometry !== null ) {\n\n\t\t\t// buffer\n\n\t\t\tconst vertices = [];\n\t\t\tconst edges = new Set();\n\n\t\t\t// helper variables\n\n\t\t\tconst start = new Vector3();\n\t\t\tconst end = new Vector3();\n\n\t\t\tif ( geometry.index !== null ) {\n\n\t\t\t\t// indexed BufferGeometry\n\n\t\t\t\tconst position = geometry.attributes.position;\n\t\t\t\tconst indices = geometry.index;\n\t\t\t\tlet groups = geometry.groups;\n\n\t\t\t\tif ( groups.length === 0 ) {\n\n\t\t\t\t\tgroups = [ { start: 0, count: indices.count, materialIndex: 0 } ];\n\n\t\t\t\t}\n\n\t\t\t\t// create a data structure that contains all edges without duplicates\n\n\t\t\t\tfor ( let o = 0, ol = groups.length; o < ol; ++ o ) {\n\n\t\t\t\t\tconst group = groups[ o ];\n\n\t\t\t\t\tconst groupStart = group.start;\n\t\t\t\t\tconst groupCount = group.count;\n\n\t\t\t\t\tfor ( let i = groupStart, l = ( groupStart + groupCount ); i < l; i += 3 ) {\n\n\t\t\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t\t\tconst index1 = indices.getX( i + j );\n\t\t\t\t\t\t\tconst index2 = indices.getX( i + ( j + 1 ) % 3 );\n\n\t\t\t\t\t\t\tstart.fromBufferAttribute( position, index1 );\n\t\t\t\t\t\t\tend.fromBufferAttribute( position, index2 );\n\n\t\t\t\t\t\t\tif ( isUniqueEdge( start, end, edges ) === true ) {\n\n\t\t\t\t\t\t\t\tvertices.push( start.x, start.y, start.z );\n\t\t\t\t\t\t\t\tvertices.push( end.x, end.y, end.z );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// non-indexed BufferGeometry\n\n\t\t\t\tconst position = geometry.attributes.position;\n\n\t\t\t\tfor ( let i = 0, l = ( position.count / 3 ); i < l; i ++ ) {\n\n\t\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t\t// three edges per triangle, an edge is represented as (index1, index2)\n\t\t\t\t\t\t// e.g. the first triangle has the following edges: (0,1),(1,2),(2,0)\n\n\t\t\t\t\t\tconst index1 = 3 * i + j;\n\t\t\t\t\t\tconst index2 = 3 * i + ( ( j + 1 ) % 3 );\n\n\t\t\t\t\t\tstart.fromBufferAttribute( position, index1 );\n\t\t\t\t\t\tend.fromBufferAttribute( position, index2 );\n\n\t\t\t\t\t\tif ( isUniqueEdge( start, end, edges ) === true ) {\n\n\t\t\t\t\t\t\tvertices.push( start.x, start.y, start.z );\n\t\t\t\t\t\t\tvertices.push( end.x, end.y, end.z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// build geometry\n\n\t\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n}\n\nfunction isUniqueEdge( start, end, edges ) {\n\n\tconst hash1 = `${start.x},${start.y},${start.z}-${end.x},${end.y},${end.z}`;\n\tconst hash2 = `${end.x},${end.y},${end.z}-${start.x},${start.y},${start.z}`; // coincident edge\n\n\tif ( edges.has( hash1 ) === true || edges.has( hash2 ) === true ) {\n\n\t\treturn false;\n\n\t} else {\n\n\t\tedges.add( hash1 );\n\t\tedges.add( hash2 );\n\t\treturn true;\n\n\t}\n\n}\n\nvar Geometries = /*#__PURE__*/Object.freeze({\n\t__proto__: null,\n\tBoxGeometry: BoxGeometry,\n\tCapsuleGeometry: CapsuleGeometry,\n\tCircleGeometry: CircleGeometry,\n\tConeGeometry: ConeGeometry,\n\tCylinderGeometry: CylinderGeometry,\n\tDodecahedronGeometry: DodecahedronGeometry,\n\tEdgesGeometry: EdgesGeometry,\n\tExtrudeGeometry: ExtrudeGeometry,\n\tIcosahedronGeometry: IcosahedronGeometry,\n\tLatheGeometry: LatheGeometry,\n\tOctahedronGeometry: OctahedronGeometry,\n\tPlaneGeometry: PlaneGeometry,\n\tPolyhedronGeometry: PolyhedronGeometry,\n\tRingGeometry: RingGeometry,\n\tShapeGeometry: ShapeGeometry,\n\tSphereGeometry: SphereGeometry,\n\tTetrahedronGeometry: TetrahedronGeometry,\n\tTorusGeometry: TorusGeometry,\n\tTorusKnotGeometry: TorusKnotGeometry,\n\tTubeGeometry: TubeGeometry,\n\tWireframeGeometry: WireframeGeometry\n});\n\nclass ShadowMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isShadowMaterial = true;\n\n\t\tthis.type = 'ShadowMaterial';\n\n\t\tthis.color = new Color( 0x000000 );\n\t\tthis.transparent = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass RawShaderMaterial extends ShaderMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper( parameters );\n\n\t\tthis.isRawShaderMaterial = true;\n\n\t\tthis.type = 'RawShaderMaterial';\n\n\t}\n\n}\n\nclass MeshStandardMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshStandardMaterial = true;\n\n\t\tthis.defines = { 'STANDARD': '' };\n\n\t\tthis.type = 'MeshStandardMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\t\tthis.roughness = 1.0;\n\t\tthis.metalness = 0.0;\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.roughnessMap = null;\n\n\t\tthis.metalnessMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.envMapIntensity = 1.0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = { 'STANDARD': '' };\n\n\t\tthis.color.copy( source.color );\n\t\tthis.roughness = source.roughness;\n\t\tthis.metalness = source.metalness;\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.roughnessMap = source.roughnessMap;\n\n\t\tthis.metalnessMap = source.metalnessMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.envMapIntensity = source.envMapIntensity;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshPhysicalMaterial extends MeshStandardMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshPhysicalMaterial = true;\n\n\t\tthis.defines = {\n\n\t\t\t'STANDARD': '',\n\t\t\t'PHYSICAL': ''\n\n\t\t};\n\n\t\tthis.type = 'MeshPhysicalMaterial';\n\n\t\tthis.anisotropyRotation = 0;\n\t\tthis.anisotropyMap = null;\n\n\t\tthis.clearcoatMap = null;\n\t\tthis.clearcoatRoughness = 0.0;\n\t\tthis.clearcoatRoughnessMap = null;\n\t\tthis.clearcoatNormalScale = new Vector2( 1, 1 );\n\t\tthis.clearcoatNormalMap = null;\n\n\t\tthis.ior = 1.5;\n\n\t\tObject.defineProperty( this, 'reflectivity', {\n\t\t\tget: function () {\n\n\t\t\t\treturn ( clamp( 2.5 * ( this.ior - 1 ) / ( this.ior + 1 ), 0, 1 ) );\n\n\t\t\t},\n\t\t\tset: function ( reflectivity ) {\n\n\t\t\t\tthis.ior = ( 1 + 0.4 * reflectivity ) / ( 1 - 0.4 * reflectivity );\n\n\t\t\t}\n\t\t} );\n\n\t\tthis.iridescenceMap = null;\n\t\tthis.iridescenceIOR = 1.3;\n\t\tthis.iridescenceThicknessRange = [ 100, 400 ];\n\t\tthis.iridescenceThicknessMap = null;\n\n\t\tthis.sheenColor = new Color( 0x000000 );\n\t\tthis.sheenColorMap = null;\n\t\tthis.sheenRoughness = 1.0;\n\t\tthis.sheenRoughnessMap = null;\n\n\t\tthis.transmissionMap = null;\n\n\t\tthis.thickness = 0;\n\t\tthis.thicknessMap = null;\n\t\tthis.attenuationDistance = Infinity;\n\t\tthis.attenuationColor = new Color( 1, 1, 1 );\n\n\t\tthis.specularIntensity = 1.0;\n\t\tthis.specularIntensityMap = null;\n\t\tthis.specularColor = new Color( 1, 1, 1 );\n\t\tthis.specularColorMap = null;\n\n\t\tthis._anisotropy = 0;\n\t\tthis._clearcoat = 0;\n\t\tthis._iridescence = 0;\n\t\tthis._sheen = 0.0;\n\t\tthis._transmission = 0;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tget anisotropy() {\n\n\t\treturn this._anisotropy;\n\n\t}\n\n\tset anisotropy( value ) {\n\n\t\tif ( this._anisotropy > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._anisotropy = value;\n\n\t}\n\n\tget clearcoat() {\n\n\t\treturn this._clearcoat;\n\n\t}\n\n\tset clearcoat( value ) {\n\n\t\tif ( this._clearcoat > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._clearcoat = value;\n\n\t}\n\n\tget iridescence() {\n\n\t\treturn this._iridescence;\n\n\t}\n\n\tset iridescence( value ) {\n\n\t\tif ( this._iridescence > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._iridescence = value;\n\n\t}\n\n\tget sheen() {\n\n\t\treturn this._sheen;\n\n\t}\n\n\tset sheen( value ) {\n\n\t\tif ( this._sheen > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._sheen = value;\n\n\t}\n\n\tget transmission() {\n\n\t\treturn this._transmission;\n\n\t}\n\n\tset transmission( value ) {\n\n\t\tif ( this._transmission > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._transmission = value;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = {\n\n\t\t\t'STANDARD': '',\n\t\t\t'PHYSICAL': ''\n\n\t\t};\n\n\t\tthis.anisotropy = source.anisotropy;\n\t\tthis.anisotropyRotation = source.anisotropyRotation;\n\t\tthis.anisotropyMap = source.anisotropyMap;\n\n\t\tthis.clearcoat = source.clearcoat;\n\t\tthis.clearcoatMap = source.clearcoatMap;\n\t\tthis.clearcoatRoughness = source.clearcoatRoughness;\n\t\tthis.clearcoatRoughnessMap = source.clearcoatRoughnessMap;\n\t\tthis.clearcoatNormalMap = source.clearcoatNormalMap;\n\t\tthis.clearcoatNormalScale.copy( source.clearcoatNormalScale );\n\n\t\tthis.ior = source.ior;\n\n\t\tthis.iridescence = source.iridescence;\n\t\tthis.iridescenceMap = source.iridescenceMap;\n\t\tthis.iridescenceIOR = source.iridescenceIOR;\n\t\tthis.iridescenceThicknessRange = [ ...source.iridescenceThicknessRange ];\n\t\tthis.iridescenceThicknessMap = source.iridescenceThicknessMap;\n\n\t\tthis.sheen = source.sheen;\n\t\tthis.sheenColor.copy( source.sheenColor );\n\t\tthis.sheenColorMap = source.sheenColorMap;\n\t\tthis.sheenRoughness = source.sheenRoughness;\n\t\tthis.sheenRoughnessMap = source.sheenRoughnessMap;\n\n\t\tthis.transmission = source.transmission;\n\t\tthis.transmissionMap = source.transmissionMap;\n\n\t\tthis.thickness = source.thickness;\n\t\tthis.thicknessMap = source.thicknessMap;\n\t\tthis.attenuationDistance = source.attenuationDistance;\n\t\tthis.attenuationColor.copy( source.attenuationColor );\n\n\t\tthis.specularIntensity = source.specularIntensity;\n\t\tthis.specularIntensityMap = source.specularIntensityMap;\n\t\tthis.specularColor.copy( source.specularColor );\n\t\tthis.specularColorMap = source.specularColorMap;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshPhongMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshPhongMaterial = true;\n\n\t\tthis.type = 'MeshPhongMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\t\tthis.specular = new Color( 0x111111 );\n\t\tthis.shininess = 30;\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\t\tthis.specular.copy( source.specular );\n\t\tthis.shininess = source.shininess;\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshToonMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshToonMaterial = true;\n\n\t\tthis.defines = { 'TOON': '' };\n\n\t\tthis.type = 'MeshToonMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\t\tthis.gradientMap = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\t\tthis.gradientMap = source.gradientMap;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshNormalMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshNormalMaterial = true;\n\n\t\tthis.type = 'MeshNormalMaterial';\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.flatShading = false;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshLambertMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshLambertMaterial = true;\n\n\t\tthis.type = 'MeshLambertMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshMatcapMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshMatcapMaterial = true;\n\n\t\tthis.defines = { 'MATCAP': '' };\n\n\t\tthis.type = 'MeshMatcapMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\n\t\tthis.matcap = null;\n\n\t\tthis.map = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = { 'MATCAP': '' };\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.matcap = source.matcap;\n\n\t\tthis.map = source.map;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineDashedMaterial extends LineBasicMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isLineDashedMaterial = true;\n\n\t\tthis.type = 'LineDashedMaterial';\n\n\t\tthis.scale = 1;\n\t\tthis.dashSize = 3;\n\t\tthis.gapSize = 1;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.scale = source.scale;\n\t\tthis.dashSize = source.dashSize;\n\t\tthis.gapSize = source.gapSize;\n\n\t\treturn this;\n\n\t}\n\n}\n\n// converts an array to a specific type\nfunction convertArray( array, type, forceClone ) {\n\n\tif ( ! array || // let 'undefined' and 'null' pass\n\t\t! forceClone && array.constructor === type ) return array;\n\n\tif ( typeof type.BYTES_PER_ELEMENT === 'number' ) {\n\n\t\treturn new type( array ); // create typed array\n\n\t}\n\n\treturn Array.prototype.slice.call( array ); // create Array\n\n}\n\nfunction isTypedArray( object ) {\n\n\treturn ArrayBuffer.isView( object ) &&\n\t\t! ( object instanceof DataView );\n\n}\n\n// returns an array by which times and values can be sorted\nfunction getKeyframeOrder( times ) {\n\n\tfunction compareTime( i, j ) {\n\n\t\treturn times[ i ] - times[ j ];\n\n\t}\n\n\tconst n = times.length;\n\tconst result = new Array( n );\n\tfor ( let i = 0; i !== n; ++ i ) result[ i ] = i;\n\n\tresult.sort( compareTime );\n\n\treturn result;\n\n}\n\n// uses the array previously returned by 'getKeyframeOrder' to sort data\nfunction sortedArray( values, stride, order ) {\n\n\tconst nValues = values.length;\n\tconst result = new values.constructor( nValues );\n\n\tfor ( let i = 0, dstOffset = 0; dstOffset !== nValues; ++ i ) {\n\n\t\tconst srcOffset = order[ i ] * stride;\n\n\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\tresult[ dstOffset ++ ] = values[ srcOffset + j ];\n\n\t\t}\n\n\t}\n\n\treturn result;\n\n}\n\n// function for parsing AOS keyframe formats\nfunction flattenJSON( jsonKeys, times, values, valuePropertyName ) {\n\n\tlet i = 1, key = jsonKeys[ 0 ];\n\n\twhile ( key !== undefined && key[ valuePropertyName ] === undefined ) {\n\n\t\tkey = jsonKeys[ i ++ ];\n\n\t}\n\n\tif ( key === undefined ) return; // no data\n\n\tlet value = key[ valuePropertyName ];\n\tif ( value === undefined ) return; // no data\n\n\tif ( Array.isArray( value ) ) {\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalues.push.apply( values, value ); // push all elements\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t} else if ( value.toArray !== undefined ) {\n\n\t\t// ...assume THREE.Math-ish\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalue.toArray( values, values.length );\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t} else {\n\n\t\t// otherwise push as-is\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalues.push( value );\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t}\n\n}\n\nfunction subclip( sourceClip, name, startFrame, endFrame, fps = 30 ) {\n\n\tconst clip = sourceClip.clone();\n\n\tclip.name = name;\n\n\tconst tracks = [];\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tconst track = clip.tracks[ i ];\n\t\tconst valueSize = track.getValueSize();\n\n\t\tconst times = [];\n\t\tconst values = [];\n\n\t\tfor ( let j = 0; j < track.times.length; ++ j ) {\n\n\t\t\tconst frame = track.times[ j ] * fps;\n\n\t\t\tif ( frame < startFrame || frame >= endFrame ) continue;\n\n\t\t\ttimes.push( track.times[ j ] );\n\n\t\t\tfor ( let k = 0; k < valueSize; ++ k ) {\n\n\t\t\t\tvalues.push( track.values[ j * valueSize + k ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( times.length === 0 ) continue;\n\n\t\ttrack.times = convertArray( times, track.times.constructor );\n\t\ttrack.values = convertArray( values, track.values.constructor );\n\n\t\ttracks.push( track );\n\n\t}\n\n\tclip.tracks = tracks;\n\n\t// find minimum .times value across all tracks in the trimmed clip\n\n\tlet minStartTime = Infinity;\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tif ( minStartTime > clip.tracks[ i ].times[ 0 ] ) {\n\n\t\t\tminStartTime = clip.tracks[ i ].times[ 0 ];\n\n\t\t}\n\n\t}\n\n\t// shift all tracks such that clip begins at t=0\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tclip.tracks[ i ].shift( - 1 * minStartTime );\n\n\t}\n\n\tclip.resetDuration();\n\n\treturn clip;\n\n}\n\nfunction makeClipAdditive( targetClip, referenceFrame = 0, referenceClip = targetClip, fps = 30 ) {\n\n\tif ( fps <= 0 ) fps = 30;\n\n\tconst numTracks = referenceClip.tracks.length;\n\tconst referenceTime = referenceFrame / fps;\n\n\t// Make each track's values relative to the values at the reference frame\n\tfor ( let i = 0; i < numTracks; ++ i ) {\n\n\t\tconst referenceTrack = referenceClip.tracks[ i ];\n\t\tconst referenceTrackType = referenceTrack.ValueTypeName;\n\n\t\t// Skip this track if it's non-numeric\n\t\tif ( referenceTrackType === 'bool' || referenceTrackType === 'string' ) continue;\n\n\t\t// Find the track in the target clip whose name and type matches the reference track\n\t\tconst targetTrack = targetClip.tracks.find( function ( track ) {\n\n\t\t\treturn track.name === referenceTrack.name\n\t\t\t\t&& track.ValueTypeName === referenceTrackType;\n\n\t\t} );\n\n\t\tif ( targetTrack === undefined ) continue;\n\n\t\tlet referenceOffset = 0;\n\t\tconst referenceValueSize = referenceTrack.getValueSize();\n\n\t\tif ( referenceTrack.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline ) {\n\n\t\t\treferenceOffset = referenceValueSize / 3;\n\n\t\t}\n\n\t\tlet targetOffset = 0;\n\t\tconst targetValueSize = targetTrack.getValueSize();\n\n\t\tif ( targetTrack.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline ) {\n\n\t\t\ttargetOffset = targetValueSize / 3;\n\n\t\t}\n\n\t\tconst lastIndex = referenceTrack.times.length - 1;\n\t\tlet referenceValue;\n\n\t\t// Find the value to subtract out of the track\n\t\tif ( referenceTime <= referenceTrack.times[ 0 ] ) {\n\n\t\t\t// Reference frame is earlier than the first keyframe, so just use the first keyframe\n\t\t\tconst startIndex = referenceOffset;\n\t\t\tconst endIndex = referenceValueSize - referenceOffset;\n\t\t\treferenceValue = referenceTrack.values.slice( startIndex, endIndex );\n\n\t\t} else if ( referenceTime >= referenceTrack.times[ lastIndex ] ) {\n\n\t\t\t// Reference frame is after the last keyframe, so just use the last keyframe\n\t\t\tconst startIndex = lastIndex * referenceValueSize + referenceOffset;\n\t\t\tconst endIndex = startIndex + referenceValueSize - referenceOffset;\n\t\t\treferenceValue = referenceTrack.values.slice( startIndex, endIndex );\n\n\t\t} else {\n\n\t\t\t// Interpolate to the reference value\n\t\t\tconst interpolant = referenceTrack.createInterpolant();\n\t\t\tconst startIndex = referenceOffset;\n\t\t\tconst endIndex = referenceValueSize - referenceOffset;\n\t\t\tinterpolant.evaluate( referenceTime );\n\t\t\treferenceValue = interpolant.resultBuffer.slice( startIndex, endIndex );\n\n\t\t}\n\n\t\t// Conjugate the quaternion\n\t\tif ( referenceTrackType === 'quaternion' ) {\n\n\t\t\tconst referenceQuat = new Quaternion().fromArray( referenceValue ).normalize().conjugate();\n\t\t\treferenceQuat.toArray( referenceValue );\n\n\t\t}\n\n\t\t// Subtract the reference value from all of the track values\n\n\t\tconst numTimes = targetTrack.times.length;\n\t\tfor ( let j = 0; j < numTimes; ++ j ) {\n\n\t\t\tconst valueStart = j * targetValueSize + targetOffset;\n\n\t\t\tif ( referenceTrackType === 'quaternion' ) {\n\n\t\t\t\t// Multiply the conjugate for quaternion track types\n\t\t\t\tQuaternion.multiplyQuaternionsFlat(\n\t\t\t\t\ttargetTrack.values,\n\t\t\t\t\tvalueStart,\n\t\t\t\t\treferenceValue,\n\t\t\t\t\t0,\n\t\t\t\t\ttargetTrack.values,\n\t\t\t\t\tvalueStart\n\t\t\t\t);\n\n\t\t\t} else {\n\n\t\t\t\tconst valueEnd = targetValueSize - targetOffset * 2;\n\n\t\t\t\t// Subtract each value for all other numeric track types\n\t\t\t\tfor ( let k = 0; k < valueEnd; ++ k ) {\n\n\t\t\t\t\ttargetTrack.values[ valueStart + k ] -= referenceValue[ k ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttargetClip.blendMode = AdditiveAnimationBlendMode;\n\n\treturn targetClip;\n\n}\n\nconst AnimationUtils = {\n\tconvertArray: convertArray,\n\tisTypedArray: isTypedArray,\n\tgetKeyframeOrder: getKeyframeOrder,\n\tsortedArray: sortedArray,\n\tflattenJSON: flattenJSON,\n\tsubclip: subclip,\n\tmakeClipAdditive: makeClipAdditive\n};\n\n/**\n * Abstract base class of interpolants over parametric samples.\n *\n * The parameter domain is one dimensional, typically the time or a path\n * along a curve defined by the data.\n *\n * The sample values can have any dimensionality and derived classes may\n * apply special interpretations to the data.\n *\n * This class provides the interval seek in a Template Method, deferring\n * the actual interpolation to derived classes.\n *\n * Time complexity is O(1) for linear access crossing at most two points\n * and O(log N) for random access, where N is the number of positions.\n *\n * References:\n *\n * \t\thttp://www.oodesign.com/template-method-pattern.html\n *\n */\n\nclass Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tthis.parameterPositions = parameterPositions;\n\t\tthis._cachedIndex = 0;\n\n\t\tthis.resultBuffer = resultBuffer !== undefined ?\n\t\t\tresultBuffer : new sampleValues.constructor( sampleSize );\n\t\tthis.sampleValues = sampleValues;\n\t\tthis.valueSize = sampleSize;\n\n\t\tthis.settings = null;\n\t\tthis.DefaultSettings_ = {};\n\n\t}\n\n\tevaluate( t ) {\n\n\t\tconst pp = this.parameterPositions;\n\t\tlet i1 = this._cachedIndex,\n\t\t\tt1 = pp[ i1 ],\n\t\t\tt0 = pp[ i1 - 1 ];\n\n\t\tvalidate_interval: {\n\n\t\t\tseek: {\n\n\t\t\t\tlet right;\n\n\t\t\t\tlinear_scan: {\n\n\t\t\t\t\t//- See http://jsperf.com/comparison-to-undefined/3\n\t\t\t\t\t//- slower code:\n\t\t\t\t\t//-\n\t\t\t\t\t//- \t\t\t\tif ( t >= t1 || t1 === undefined ) {\n\t\t\t\t\tforward_scan: if ( ! ( t < t1 ) ) {\n\n\t\t\t\t\t\tfor ( let giveUpAt = i1 + 2; ; ) {\n\n\t\t\t\t\t\t\tif ( t1 === undefined ) {\n\n\t\t\t\t\t\t\t\tif ( t < t0 ) break forward_scan;\n\n\t\t\t\t\t\t\t\t// after end\n\n\t\t\t\t\t\t\t\ti1 = pp.length;\n\t\t\t\t\t\t\t\tthis._cachedIndex = i1;\n\t\t\t\t\t\t\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( i1 === giveUpAt ) break; // this loop\n\n\t\t\t\t\t\t\tt0 = t1;\n\t\t\t\t\t\t\tt1 = pp[ ++ i1 ];\n\n\t\t\t\t\t\t\tif ( t < t1 ) {\n\n\t\t\t\t\t\t\t\t// we have arrived at the sought interval\n\t\t\t\t\t\t\t\tbreak seek;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// prepare binary search on the right side of the index\n\t\t\t\t\t\tright = pp.length;\n\t\t\t\t\t\tbreak linear_scan;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t//- slower code:\n\t\t\t\t\t//-\t\t\t\t\tif ( t < t0 || t0 === undefined ) {\n\t\t\t\t\tif ( ! ( t >= t0 ) ) {\n\n\t\t\t\t\t\t// looping?\n\n\t\t\t\t\t\tconst t1global = pp[ 1 ];\n\n\t\t\t\t\t\tif ( t < t1global ) {\n\n\t\t\t\t\t\t\ti1 = 2; // + 1, using the scan for the details\n\t\t\t\t\t\t\tt0 = t1global;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// linear reverse scan\n\n\t\t\t\t\t\tfor ( let giveUpAt = i1 - 2; ; ) {\n\n\t\t\t\t\t\t\tif ( t0 === undefined ) {\n\n\t\t\t\t\t\t\t\t// before start\n\n\t\t\t\t\t\t\t\tthis._cachedIndex = 0;\n\t\t\t\t\t\t\t\treturn this.copySampleValue_( 0 );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( i1 === giveUpAt ) break; // this loop\n\n\t\t\t\t\t\t\tt1 = t0;\n\t\t\t\t\t\t\tt0 = pp[ -- i1 - 1 ];\n\n\t\t\t\t\t\t\tif ( t >= t0 ) {\n\n\t\t\t\t\t\t\t\t// we have arrived at the sought interval\n\t\t\t\t\t\t\t\tbreak seek;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// prepare binary search on the left side of the index\n\t\t\t\t\t\tright = i1;\n\t\t\t\t\t\ti1 = 0;\n\t\t\t\t\t\tbreak linear_scan;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the interval is valid\n\n\t\t\t\t\tbreak validate_interval;\n\n\t\t\t\t} // linear scan\n\n\t\t\t\t// binary search\n\n\t\t\t\twhile ( i1 < right ) {\n\n\t\t\t\t\tconst mid = ( i1 + right ) >>> 1;\n\n\t\t\t\t\tif ( t < pp[ mid ] ) {\n\n\t\t\t\t\t\tright = mid;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ti1 = mid + 1;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tt1 = pp[ i1 ];\n\t\t\t\tt0 = pp[ i1 - 1 ];\n\n\t\t\t\t// check boundary cases, again\n\n\t\t\t\tif ( t0 === undefined ) {\n\n\t\t\t\t\tthis._cachedIndex = 0;\n\t\t\t\t\treturn this.copySampleValue_( 0 );\n\n\t\t\t\t}\n\n\t\t\t\tif ( t1 === undefined ) {\n\n\t\t\t\t\ti1 = pp.length;\n\t\t\t\t\tthis._cachedIndex = i1;\n\t\t\t\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t\t\t\t}\n\n\t\t\t} // seek\n\n\t\t\tthis._cachedIndex = i1;\n\n\t\t\tthis.intervalChanged_( i1, t0, t1 );\n\n\t\t} // validate_interval\n\n\t\treturn this.interpolate_( i1, t0, t, t1 );\n\n\t}\n\n\tgetSettings_() {\n\n\t\treturn this.settings || this.DefaultSettings_;\n\n\t}\n\n\tcopySampleValue_( index ) {\n\n\t\t// copies a sample value to the result buffer\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = index * stride;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] = values[ offset + i ];\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\t// Template methods for derived classes:\n\n\tinterpolate_( /* i1, t0, t, t1 */ ) {\n\n\t\tthrow new Error( 'call to abstract method' );\n\t\t// implementations shall return this.resultBuffer\n\n\t}\n\n\tintervalChanged_( /* i1, t0, t1 */ ) {\n\n\t\t// empty\n\n\t}\n\n}\n\n/**\n * Fast and simple cubic spline interpolant.\n *\n * It was derived from a Hermitian construction setting the first derivative\n * at each sample position to the linear slope between neighboring positions\n * over their parameter interval.\n */\n\nclass CubicInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t\tthis._weightPrev = - 0;\n\t\tthis._offsetPrev = - 0;\n\t\tthis._weightNext = - 0;\n\t\tthis._offsetNext = - 0;\n\n\t\tthis.DefaultSettings_ = {\n\n\t\t\tendingStart: ZeroCurvatureEnding,\n\t\t\tendingEnd: ZeroCurvatureEnding\n\n\t\t};\n\n\t}\n\n\tintervalChanged_( i1, t0, t1 ) {\n\n\t\tconst pp = this.parameterPositions;\n\t\tlet iPrev = i1 - 2,\n\t\t\tiNext = i1 + 1,\n\n\t\t\ttPrev = pp[ iPrev ],\n\t\t\ttNext = pp[ iNext ];\n\n\t\tif ( tPrev === undefined ) {\n\n\t\t\tswitch ( this.getSettings_().endingStart ) {\n\n\t\t\t\tcase ZeroSlopeEnding:\n\n\t\t\t\t\t// f'(t0) = 0\n\t\t\t\t\tiPrev = i1;\n\t\t\t\t\ttPrev = 2 * t0 - t1;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase WrapAroundEnding:\n\n\t\t\t\t\t// use the other end of the curve\n\t\t\t\t\tiPrev = pp.length - 2;\n\t\t\t\t\ttPrev = t0 + pp[ iPrev ] - pp[ iPrev + 1 ];\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault: // ZeroCurvatureEnding\n\n\t\t\t\t\t// f''(t0) = 0 a.k.a. Natural Spline\n\t\t\t\t\tiPrev = i1;\n\t\t\t\t\ttPrev = t1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( tNext === undefined ) {\n\n\t\t\tswitch ( this.getSettings_().endingEnd ) {\n\n\t\t\t\tcase ZeroSlopeEnding:\n\n\t\t\t\t\t// f'(tN) = 0\n\t\t\t\t\tiNext = i1;\n\t\t\t\t\ttNext = 2 * t1 - t0;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase WrapAroundEnding:\n\n\t\t\t\t\t// use the other end of the curve\n\t\t\t\t\tiNext = 1;\n\t\t\t\t\ttNext = t1 + pp[ 1 ] - pp[ 0 ];\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault: // ZeroCurvatureEnding\n\n\t\t\t\t\t// f''(tN) = 0, a.k.a. Natural Spline\n\t\t\t\t\tiNext = i1 - 1;\n\t\t\t\t\ttNext = t0;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst halfDt = ( t1 - t0 ) * 0.5,\n\t\t\tstride = this.valueSize;\n\n\t\tthis._weightPrev = halfDt / ( t0 - tPrev );\n\t\tthis._weightNext = halfDt / ( tNext - t1 );\n\t\tthis._offsetPrev = iPrev * stride;\n\t\tthis._offsetNext = iNext * stride;\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\to1 = i1 * stride,\t\to0 = o1 - stride,\n\t\t\toP = this._offsetPrev, \toN = this._offsetNext,\n\t\t\twP = this._weightPrev,\twN = this._weightNext,\n\n\t\t\tp = ( t - t0 ) / ( t1 - t0 ),\n\t\t\tpp = p * p,\n\t\t\tppp = pp * p;\n\n\t\t// evaluate polynomials\n\n\t\tconst sP = - wP * ppp + 2 * wP * pp - wP * p;\n\t\tconst s0 = ( 1 + wP ) * ppp + ( - 1.5 - 2 * wP ) * pp + ( - 0.5 + wP ) * p + 1;\n\t\tconst s1 = ( - 1 - wN ) * ppp + ( 1.5 + wN ) * pp + 0.5 * p;\n\t\tconst sN = wN * ppp - wN * pp;\n\n\t\t// combine data linearly\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] =\n\t\t\t\t\tsP * values[ oP + i ] +\n\t\t\t\t\ts0 * values[ o0 + i ] +\n\t\t\t\t\ts1 * values[ o1 + i ] +\n\t\t\t\t\tsN * values[ oN + i ];\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\nclass LinearInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\toffset1 = i1 * stride,\n\t\t\toffset0 = offset1 - stride,\n\n\t\t\tweight1 = ( t - t0 ) / ( t1 - t0 ),\n\t\t\tweight0 = 1 - weight1;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] =\n\t\t\t\t\tvalues[ offset0 + i ] * weight0 +\n\t\t\t\t\tvalues[ offset1 + i ] * weight1;\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\n/**\n *\n * Interpolant that evaluates to the sample value at the position preceding\n * the parameter.\n */\n\nclass DiscreteInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1 /*, t0, t, t1 */ ) {\n\n\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t}\n\n}\n\nclass KeyframeTrack {\n\n\tconstructor( name, times, values, interpolation ) {\n\n\t\tif ( name === undefined ) throw new Error( 'THREE.KeyframeTrack: track name is undefined' );\n\t\tif ( times === undefined || times.length === 0 ) throw new Error( 'THREE.KeyframeTrack: no keyframes in track named ' + name );\n\n\t\tthis.name = name;\n\n\t\tthis.times = convertArray( times, this.TimeBufferType );\n\t\tthis.values = convertArray( values, this.ValueBufferType );\n\n\t\tthis.setInterpolation( interpolation || this.DefaultInterpolation );\n\n\t}\n\n\t// Serialization (in static context, because of constructor invocation\n\t// and automatic invocation of .toJSON):\n\n\tstatic toJSON( track ) {\n\n\t\tconst trackType = track.constructor;\n\n\t\tlet json;\n\n\t\t// derived classes can define a static toJSON method\n\t\tif ( trackType.toJSON !== this.toJSON ) {\n\n\t\t\tjson = trackType.toJSON( track );\n\n\t\t} else {\n\n\t\t\t// by default, we assume the data can be serialized as-is\n\t\t\tjson = {\n\n\t\t\t\t'name': track.name,\n\t\t\t\t'times': convertArray( track.times, Array ),\n\t\t\t\t'values': convertArray( track.values, Array )\n\n\t\t\t};\n\n\t\t\tconst interpolation = track.getInterpolation();\n\n\t\t\tif ( interpolation !== track.DefaultInterpolation ) {\n\n\t\t\t\tjson.interpolation = interpolation;\n\n\t\t\t}\n\n\t\t}\n\n\t\tjson.type = track.ValueTypeName; // mandatory\n\n\t\treturn json;\n\n\t}\n\n\tInterpolantFactoryMethodDiscrete( result ) {\n\n\t\treturn new DiscreteInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tInterpolantFactoryMethodLinear( result ) {\n\n\t\treturn new LinearInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tInterpolantFactoryMethodSmooth( result ) {\n\n\t\treturn new CubicInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tsetInterpolation( interpolation ) {\n\n\t\tlet factoryMethod;\n\n\t\tswitch ( interpolation ) {\n\n\t\t\tcase InterpolateDiscrete:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodDiscrete;\n\n\t\t\t\tbreak;\n\n\t\t\tcase InterpolateLinear:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodLinear;\n\n\t\t\t\tbreak;\n\n\t\t\tcase InterpolateSmooth:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodSmooth;\n\n\t\t\t\tbreak;\n\n\t\t}\n\n\t\tif ( factoryMethod === undefined ) {\n\n\t\t\tconst message = 'unsupported interpolation for ' +\n\t\t\t\tthis.ValueTypeName + ' keyframe track named ' + this.name;\n\n\t\t\tif ( this.createInterpolant === undefined ) {\n\n\t\t\t\t// fall back to default, unless the default itself is messed up\n\t\t\t\tif ( interpolation !== this.DefaultInterpolation ) {\n\n\t\t\t\t\tthis.setInterpolation( this.DefaultInterpolation );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new Error( message ); // fatal, in this case\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconsole.warn( 'THREE.KeyframeTrack:', message );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tthis.createInterpolant = factoryMethod;\n\n\t\treturn this;\n\n\t}\n\n\tgetInterpolation() {\n\n\t\tswitch ( this.createInterpolant ) {\n\n\t\t\tcase this.InterpolantFactoryMethodDiscrete:\n\n\t\t\t\treturn InterpolateDiscrete;\n\n\t\t\tcase this.InterpolantFactoryMethodLinear:\n\n\t\t\t\treturn InterpolateLinear;\n\n\t\t\tcase this.InterpolantFactoryMethodSmooth:\n\n\t\t\t\treturn InterpolateSmooth;\n\n\t\t}\n\n\t}\n\n\tgetValueSize() {\n\n\t\treturn this.values.length / this.times.length;\n\n\t}\n\n\t// move all keyframes either forwards or backwards in time\n\tshift( timeOffset ) {\n\n\t\tif ( timeOffset !== 0.0 ) {\n\n\t\t\tconst times = this.times;\n\n\t\t\tfor ( let i = 0, n = times.length; i !== n; ++ i ) {\n\n\t\t\t\ttimes[ i ] += timeOffset;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// scale all keyframe times by a factor (useful for frame <-> seconds conversions)\n\tscale( timeScale ) {\n\n\t\tif ( timeScale !== 1.0 ) {\n\n\t\t\tconst times = this.times;\n\n\t\t\tfor ( let i = 0, n = times.length; i !== n; ++ i ) {\n\n\t\t\t\ttimes[ i ] *= timeScale;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// removes keyframes before and after animation without changing any values within the range [startTime, endTime].\n\t// IMPORTANT: We do not shift around keys to the start of the track time, because for interpolated keys this will change their values\n\ttrim( startTime, endTime ) {\n\n\t\tconst times = this.times,\n\t\t\tnKeys = times.length;\n\n\t\tlet from = 0,\n\t\t\tto = nKeys - 1;\n\n\t\twhile ( from !== nKeys && times[ from ] < startTime ) {\n\n\t\t\t++ from;\n\n\t\t}\n\n\t\twhile ( to !== - 1 && times[ to ] > endTime ) {\n\n\t\t\t-- to;\n\n\t\t}\n\n\t\t++ to; // inclusive -> exclusive bound\n\n\t\tif ( from !== 0 || to !== nKeys ) {\n\n\t\t\t// empty tracks are forbidden, so keep at least one keyframe\n\t\t\tif ( from >= to ) {\n\n\t\t\t\tto = Math.max( to, 1 );\n\t\t\t\tfrom = to - 1;\n\n\t\t\t}\n\n\t\t\tconst stride = this.getValueSize();\n\t\t\tthis.times = times.slice( from, to );\n\t\t\tthis.values = this.values.slice( from * stride, to * stride );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// ensure we do not get a GarbageInGarbageOut situation, make sure tracks are at least minimally viable\n\tvalidate() {\n\n\t\tlet valid = true;\n\n\t\tconst valueSize = this.getValueSize();\n\t\tif ( valueSize - Math.floor( valueSize ) !== 0 ) {\n\n\t\t\tconsole.error( 'THREE.KeyframeTrack: Invalid value size in track.', this );\n\t\t\tvalid = false;\n\n\t\t}\n\n\t\tconst times = this.times,\n\t\t\tvalues = this.values,\n\n\t\t\tnKeys = times.length;\n\n\t\tif ( nKeys === 0 ) {\n\n\t\t\tconsole.error( 'THREE.KeyframeTrack: Track is empty.', this );\n\t\t\tvalid = false;\n\n\t\t}\n\n\t\tlet prevTime = null;\n\n\t\tfor ( let i = 0; i !== nKeys; i ++ ) {\n\n\t\t\tconst currTime = times[ i ];\n\n\t\t\tif ( typeof currTime === 'number' && isNaN( currTime ) ) {\n\n\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Time is not a valid number.', this, i, currTime );\n\t\t\t\tvalid = false;\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tif ( prevTime !== null && prevTime > currTime ) {\n\n\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Out of order keys.', this, i, currTime, prevTime );\n\t\t\t\tvalid = false;\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tprevTime = currTime;\n\n\t\t}\n\n\t\tif ( values !== undefined ) {\n\n\t\t\tif ( isTypedArray( values ) ) {\n\n\t\t\t\tfor ( let i = 0, n = values.length; i !== n; ++ i ) {\n\n\t\t\t\t\tconst value = values[ i ];\n\n\t\t\t\t\tif ( isNaN( value ) ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Value is not a valid number.', this, i, value );\n\t\t\t\t\t\tvalid = false;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn valid;\n\n\t}\n\n\t// removes equivalent sequential keys as common in morph target sequences\n\t// (0,0,0,0,1,1,1,0,0,0,0,0,0,0) --> (0,0,1,1,0,0)\n\toptimize() {\n\n\t\t// times or values may be shared with other tracks, so overwriting is unsafe\n\t\tconst times = this.times.slice(),\n\t\t\tvalues = this.values.slice(),\n\t\t\tstride = this.getValueSize(),\n\n\t\t\tsmoothInterpolation = this.getInterpolation() === InterpolateSmooth,\n\n\t\t\tlastIndex = times.length - 1;\n\n\t\tlet writeIndex = 1;\n\n\t\tfor ( let i = 1; i < lastIndex; ++ i ) {\n\n\t\t\tlet keep = false;\n\n\t\t\tconst time = times[ i ];\n\t\t\tconst timeNext = times[ i + 1 ];\n\n\t\t\t// remove adjacent keyframes scheduled at the same time\n\n\t\t\tif ( time !== timeNext && ( i !== 1 || time !== times[ 0 ] ) ) {\n\n\t\t\t\tif ( ! smoothInterpolation ) {\n\n\t\t\t\t\t// remove unnecessary keyframes same as their neighbors\n\n\t\t\t\t\tconst offset = i * stride,\n\t\t\t\t\t\toffsetP = offset - stride,\n\t\t\t\t\t\toffsetN = offset + stride;\n\n\t\t\t\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\t\t\t\tconst value = values[ offset + j ];\n\n\t\t\t\t\t\tif ( value !== values[ offsetP + j ] ||\n\t\t\t\t\t\t\tvalue !== values[ offsetN + j ] ) {\n\n\t\t\t\t\t\t\tkeep = true;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tkeep = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// in-place compaction\n\n\t\t\tif ( keep ) {\n\n\t\t\t\tif ( i !== writeIndex ) {\n\n\t\t\t\t\ttimes[ writeIndex ] = times[ i ];\n\n\t\t\t\t\tconst readOffset = i * stride,\n\t\t\t\t\t\twriteOffset = writeIndex * stride;\n\n\t\t\t\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\t\t\t\tvalues[ writeOffset + j ] = values[ readOffset + j ];\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t++ writeIndex;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// flush last keyframe (compaction looks ahead)\n\n\t\tif ( lastIndex > 0 ) {\n\n\t\t\ttimes[ writeIndex ] = times[ lastIndex ];\n\n\t\t\tfor ( let readOffset = lastIndex * stride, writeOffset = writeIndex * stride, j = 0; j !== stride; ++ j ) {\n\n\t\t\t\tvalues[ writeOffset + j ] = values[ readOffset + j ];\n\n\t\t\t}\n\n\t\t\t++ writeIndex;\n\n\t\t}\n\n\t\tif ( writeIndex !== times.length ) {\n\n\t\t\tthis.times = times.slice( 0, writeIndex );\n\t\t\tthis.values = values.slice( 0, writeIndex * stride );\n\n\t\t} else {\n\n\t\t\tthis.times = times;\n\t\t\tthis.values = values;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\tconst times = this.times.slice();\n\t\tconst values = this.values.slice();\n\n\t\tconst TypedKeyframeTrack = this.constructor;\n\t\tconst track = new TypedKeyframeTrack( this.name, times, values );\n\n\t\t// Interpolant argument to constructor is not saved, so copy the factory method directly.\n\t\ttrack.createInterpolant = this.createInterpolant;\n\n\t\treturn track;\n\n\t}\n\n}\n\nKeyframeTrack.prototype.TimeBufferType = Float32Array;\nKeyframeTrack.prototype.ValueBufferType = Float32Array;\nKeyframeTrack.prototype.DefaultInterpolation = InterpolateLinear;\n\n/**\n * A Track of Boolean keyframe values.\n */\nclass BooleanKeyframeTrack extends KeyframeTrack {}\n\nBooleanKeyframeTrack.prototype.ValueTypeName = 'bool';\nBooleanKeyframeTrack.prototype.ValueBufferType = Array;\nBooleanKeyframeTrack.prototype.DefaultInterpolation = InterpolateDiscrete;\nBooleanKeyframeTrack.prototype.InterpolantFactoryMethodLinear = undefined;\nBooleanKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track of keyframe values that represent color.\n */\nclass ColorKeyframeTrack extends KeyframeTrack {}\n\nColorKeyframeTrack.prototype.ValueTypeName = 'color';\n\n/**\n * A Track of numeric keyframe values.\n */\nclass NumberKeyframeTrack extends KeyframeTrack {}\n\nNumberKeyframeTrack.prototype.ValueTypeName = 'number';\n\n/**\n * Spherical linear unit quaternion interpolant.\n */\n\nclass QuaternionLinearInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\talpha = ( t - t0 ) / ( t1 - t0 );\n\n\t\tlet offset = i1 * stride;\n\n\t\tfor ( let end = offset + stride; offset !== end; offset += 4 ) {\n\n\t\t\tQuaternion.slerpFlat( result, 0, values, offset - stride, values, offset, alpha );\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\n/**\n * A Track of quaternion keyframe values.\n */\nclass QuaternionKeyframeTrack extends KeyframeTrack {\n\n\tInterpolantFactoryMethodLinear( result ) {\n\n\t\treturn new QuaternionLinearInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n}\n\nQuaternionKeyframeTrack.prototype.ValueTypeName = 'quaternion';\n// ValueBufferType is inherited\nQuaternionKeyframeTrack.prototype.DefaultInterpolation = InterpolateLinear;\nQuaternionKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track that interpolates Strings\n */\nclass StringKeyframeTrack extends KeyframeTrack {}\n\nStringKeyframeTrack.prototype.ValueTypeName = 'string';\nStringKeyframeTrack.prototype.ValueBufferType = Array;\nStringKeyframeTrack.prototype.DefaultInterpolation = InterpolateDiscrete;\nStringKeyframeTrack.prototype.InterpolantFactoryMethodLinear = undefined;\nStringKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track of vectored keyframe values.\n */\nclass VectorKeyframeTrack extends KeyframeTrack {}\n\nVectorKeyframeTrack.prototype.ValueTypeName = 'vector';\n\nclass AnimationClip {\n\n\tconstructor( name, duration = - 1, tracks, blendMode = NormalAnimationBlendMode ) {\n\n\t\tthis.name = name;\n\t\tthis.tracks = tracks;\n\t\tthis.duration = duration;\n\t\tthis.blendMode = blendMode;\n\n\t\tthis.uuid = generateUUID();\n\n\t\t// this means it should figure out its duration by scanning the tracks\n\t\tif ( this.duration < 0 ) {\n\n\t\t\tthis.resetDuration();\n\n\t\t}\n\n\t}\n\n\n\tstatic parse( json ) {\n\n\t\tconst tracks = [],\n\t\t\tjsonTracks = json.tracks,\n\t\t\tframeTime = 1.0 / ( json.fps || 1.0 );\n\n\t\tfor ( let i = 0, n = jsonTracks.length; i !== n; ++ i ) {\n\n\t\t\ttracks.push( parseKeyframeTrack( jsonTracks[ i ] ).scale( frameTime ) );\n\n\t\t}\n\n\t\tconst clip = new this( json.name, json.duration, tracks, json.blendMode );\n\t\tclip.uuid = json.uuid;\n\n\t\treturn clip;\n\n\t}\n\n\tstatic toJSON( clip ) {\n\n\t\tconst tracks = [],\n\t\t\tclipTracks = clip.tracks;\n\n\t\tconst json = {\n\n\t\t\t'name': clip.name,\n\t\t\t'duration': clip.duration,\n\t\t\t'tracks': tracks,\n\t\t\t'uuid': clip.uuid,\n\t\t\t'blendMode': clip.blendMode\n\n\t\t};\n\n\t\tfor ( let i = 0, n = clipTracks.length; i !== n; ++ i ) {\n\n\t\t\ttracks.push( KeyframeTrack.toJSON( clipTracks[ i ] ) );\n\n\t\t}\n\n\t\treturn json;\n\n\t}\n\n\tstatic CreateFromMorphTargetSequence( name, morphTargetSequence, fps, noLoop ) {\n\n\t\tconst numMorphTargets = morphTargetSequence.length;\n\t\tconst tracks = [];\n\n\t\tfor ( let i = 0; i < numMorphTargets; i ++ ) {\n\n\t\t\tlet times = [];\n\t\t\tlet values = [];\n\n\t\t\ttimes.push(\n\t\t\t\t( i + numMorphTargets - 1 ) % numMorphTargets,\n\t\t\t\ti,\n\t\t\t\t( i + 1 ) % numMorphTargets );\n\n\t\t\tvalues.push( 0, 1, 0 );\n\n\t\t\tconst order = getKeyframeOrder( times );\n\t\t\ttimes = sortedArray( times, 1, order );\n\t\t\tvalues = sortedArray( values, 1, order );\n\n\t\t\t// if there is a key at the first frame, duplicate it as the\n\t\t\t// last frame as well for perfect loop.\n\t\t\tif ( ! noLoop && times[ 0 ] === 0 ) {\n\n\t\t\t\ttimes.push( numMorphTargets );\n\t\t\t\tvalues.push( values[ 0 ] );\n\n\t\t\t}\n\n\t\t\ttracks.push(\n\t\t\t\tnew NumberKeyframeTrack(\n\t\t\t\t\t'.morphTargetInfluences[' + morphTargetSequence[ i ].name + ']',\n\t\t\t\t\ttimes, values\n\t\t\t\t).scale( 1.0 / fps ) );\n\n\t\t}\n\n\t\treturn new this( name, - 1, tracks );\n\n\t}\n\n\tstatic findByName( objectOrClipArray, name ) {\n\n\t\tlet clipArray = objectOrClipArray;\n\n\t\tif ( ! Array.isArray( objectOrClipArray ) ) {\n\n\t\t\tconst o = objectOrClipArray;\n\t\t\tclipArray = o.geometry && o.geometry.animations || o.animations;\n\n\t\t}\n\n\t\tfor ( let i = 0; i < clipArray.length; i ++ ) {\n\n\t\t\tif ( clipArray[ i ].name === name ) {\n\n\t\t\t\treturn clipArray[ i ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\tstatic CreateClipsFromMorphTargetSequences( morphTargets, fps, noLoop ) {\n\n\t\tconst animationToMorphTargets = {};\n\n\t\t// tested with https://regex101.com/ on trick sequences\n\t\t// such flamingo_flyA_003, flamingo_run1_003, crdeath0059\n\t\tconst pattern = /^([\\w-]*?)([\\d]+)$/;\n\n\t\t// sort morph target names into animation groups based\n\t\t// patterns like Walk_001, Walk_002, Run_001, Run_002\n\t\tfor ( let i = 0, il = morphTargets.length; i < il; i ++ ) {\n\n\t\t\tconst morphTarget = morphTargets[ i ];\n\t\t\tconst parts = morphTarget.name.match( pattern );\n\n\t\t\tif ( parts && parts.length > 1 ) {\n\n\t\t\t\tconst name = parts[ 1 ];\n\n\t\t\t\tlet animationMorphTargets = animationToMorphTargets[ name ];\n\n\t\t\t\tif ( ! animationMorphTargets ) {\n\n\t\t\t\t\tanimationToMorphTargets[ name ] = animationMorphTargets = [];\n\n\t\t\t\t}\n\n\t\t\t\tanimationMorphTargets.push( morphTarget );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst clips = [];\n\n\t\tfor ( const name in animationToMorphTargets ) {\n\n\t\t\tclips.push( this.CreateFromMorphTargetSequence( name, animationToMorphTargets[ name ], fps, noLoop ) );\n\n\t\t}\n\n\t\treturn clips;\n\n\t}\n\n\t// parse the animation.hierarchy format\n\tstatic parseAnimation( animation, bones ) {\n\n\t\tif ( ! animation ) {\n\n\t\t\tconsole.error( 'THREE.AnimationClip: No animation in JSONLoader data.' );\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst addNonemptyTrack = function ( trackType, trackName, animationKeys, propertyName, destTracks ) {\n\n\t\t\t// only return track if there are actually keys.\n\t\t\tif ( animationKeys.length !== 0 ) {\n\n\t\t\t\tconst times = [];\n\t\t\t\tconst values = [];\n\n\t\t\t\tflattenJSON( animationKeys, times, values, propertyName );\n\n\t\t\t\t// empty keys are filtered out, so check again\n\t\t\t\tif ( times.length !== 0 ) {\n\n\t\t\t\t\tdestTracks.push( new trackType( trackName, times, values ) );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tconst tracks = [];\n\n\t\tconst clipName = animation.name || 'default';\n\t\tconst fps = animation.fps || 30;\n\t\tconst blendMode = animation.blendMode;\n\n\t\t// automatic length determination in AnimationClip.\n\t\tlet duration = animation.length || - 1;\n\n\t\tconst hierarchyTracks = animation.hierarchy || [];\n\n\t\tfor ( let h = 0; h < hierarchyTracks.length; h ++ ) {\n\n\t\t\tconst animationKeys = hierarchyTracks[ h ].keys;\n\n\t\t\t// skip empty tracks\n\t\t\tif ( ! animationKeys || animationKeys.length === 0 ) continue;\n\n\t\t\t// process morph targets\n\t\t\tif ( animationKeys[ 0 ].morphTargets ) {\n\n\t\t\t\t// figure out all morph targets used in this track\n\t\t\t\tconst morphTargetNames = {};\n\n\t\t\t\tlet k;\n\n\t\t\t\tfor ( k = 0; k < animationKeys.length; k ++ ) {\n\n\t\t\t\t\tif ( animationKeys[ k ].morphTargets ) {\n\n\t\t\t\t\t\tfor ( let m = 0; m < animationKeys[ k ].morphTargets.length; m ++ ) {\n\n\t\t\t\t\t\t\tmorphTargetNames[ animationKeys[ k ].morphTargets[ m ] ] = - 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// create a track for each morph target with all zero\n\t\t\t\t// morphTargetInfluences except for the keys in which\n\t\t\t\t// the morphTarget is named.\n\t\t\t\tfor ( const morphTargetName in morphTargetNames ) {\n\n\t\t\t\t\tconst times = [];\n\t\t\t\t\tconst values = [];\n\n\t\t\t\t\tfor ( let m = 0; m !== animationKeys[ k ].morphTargets.length; ++ m ) {\n\n\t\t\t\t\t\tconst animationKey = animationKeys[ k ];\n\n\t\t\t\t\t\ttimes.push( animationKey.time );\n\t\t\t\t\t\tvalues.push( ( animationKey.morphTarget === morphTargetName ) ? 1 : 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttracks.push( new NumberKeyframeTrack( '.morphTargetInfluence[' + morphTargetName + ']', times, values ) );\n\n\t\t\t\t}\n\n\t\t\t\tduration = morphTargetNames.length * fps;\n\n\t\t\t} else {\n\n\t\t\t\t// ...assume skeletal animation\n\n\t\t\t\tconst boneName = '.bones[' + bones[ h ].name + ']';\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tVectorKeyframeTrack, boneName + '.position',\n\t\t\t\t\tanimationKeys, 'pos', tracks );\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tQuaternionKeyframeTrack, boneName + '.quaternion',\n\t\t\t\t\tanimationKeys, 'rot', tracks );\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tVectorKeyframeTrack, boneName + '.scale',\n\t\t\t\t\tanimationKeys, 'scl', tracks );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( tracks.length === 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst clip = new this( clipName, duration, tracks, blendMode );\n\n\t\treturn clip;\n\n\t}\n\n\tresetDuration() {\n\n\t\tconst tracks = this.tracks;\n\t\tlet duration = 0;\n\n\t\tfor ( let i = 0, n = tracks.length; i !== n; ++ i ) {\n\n\t\t\tconst track = this.tracks[ i ];\n\n\t\t\tduration = Math.max( duration, track.times[ track.times.length - 1 ] );\n\n\t\t}\n\n\t\tthis.duration = duration;\n\n\t\treturn this;\n\n\t}\n\n\ttrim() {\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tthis.tracks[ i ].trim( 0, this.duration );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tvalidate() {\n\n\t\tlet valid = true;\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tvalid = valid && this.tracks[ i ].validate();\n\n\t\t}\n\n\t\treturn valid;\n\n\t}\n\n\toptimize() {\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tthis.tracks[ i ].optimize();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\tconst tracks = [];\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\ttracks.push( this.tracks[ i ].clone() );\n\n\t\t}\n\n\t\treturn new this.constructor( this.name, this.duration, tracks, this.blendMode );\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.constructor.toJSON( this );\n\n\t}\n\n}\n\nfunction getTrackTypeForValueTypeName( typeName ) {\n\n\tswitch ( typeName.toLowerCase() ) {\n\n\t\tcase 'scalar':\n\t\tcase 'double':\n\t\tcase 'float':\n\t\tcase 'number':\n\t\tcase 'integer':\n\n\t\t\treturn NumberKeyframeTrack;\n\n\t\tcase 'vector':\n\t\tcase 'vector2':\n\t\tcase 'vector3':\n\t\tcase 'vector4':\n\n\t\t\treturn VectorKeyframeTrack;\n\n\t\tcase 'color':\n\n\t\t\treturn ColorKeyframeTrack;\n\n\t\tcase 'quaternion':\n\n\t\t\treturn QuaternionKeyframeTrack;\n\n\t\tcase 'bool':\n\t\tcase 'boolean':\n\n\t\t\treturn BooleanKeyframeTrack;\n\n\t\tcase 'string':\n\n\t\t\treturn StringKeyframeTrack;\n\n\t}\n\n\tthrow new Error( 'THREE.KeyframeTrack: Unsupported typeName: ' + typeName );\n\n}\n\nfunction parseKeyframeTrack( json ) {\n\n\tif ( json.type === undefined ) {\n\n\t\tthrow new Error( 'THREE.KeyframeTrack: track type undefined, can not parse' );\n\n\t}\n\n\tconst trackType = getTrackTypeForValueTypeName( json.type );\n\n\tif ( json.times === undefined ) {\n\n\t\tconst times = [], values = [];\n\n\t\tflattenJSON( json.keys, times, values, 'value' );\n\n\t\tjson.times = times;\n\t\tjson.values = values;\n\n\t}\n\n\t// derived classes can define a static parse method\n\tif ( trackType.parse !== undefined ) {\n\n\t\treturn trackType.parse( json );\n\n\t} else {\n\n\t\t// by default, we assume a constructor compatible with the base\n\t\treturn new trackType( json.name, json.times, json.values, json.interpolation );\n\n\t}\n\n}\n\nconst Cache = {\n\n\tenabled: false,\n\n\tfiles: {},\n\n\tadd: function ( key, file ) {\n\n\t\tif ( this.enabled === false ) return;\n\n\t\t// console.log( 'THREE.Cache', 'Adding key:', key );\n\n\t\tthis.files[ key ] = file;\n\n\t},\n\n\tget: function ( key ) {\n\n\t\tif ( this.enabled === false ) return;\n\n\t\t// console.log( 'THREE.Cache', 'Checking key:', key );\n\n\t\treturn this.files[ key ];\n\n\t},\n\n\tremove: function ( key ) {\n\n\t\tdelete this.files[ key ];\n\n\t},\n\n\tclear: function () {\n\n\t\tthis.files = {};\n\n\t}\n\n};\n\nclass LoadingManager {\n\n\tconstructor( onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tlet isLoading = false;\n\t\tlet itemsLoaded = 0;\n\t\tlet itemsTotal = 0;\n\t\tlet urlModifier = undefined;\n\t\tconst handlers = [];\n\n\t\t// Refer to #5689 for the reason why we don't set .onStart\n\t\t// in the constructor\n\n\t\tthis.onStart = undefined;\n\t\tthis.onLoad = onLoad;\n\t\tthis.onProgress = onProgress;\n\t\tthis.onError = onError;\n\n\t\tthis.itemStart = function ( url ) {\n\n\t\t\titemsTotal ++;\n\n\t\t\tif ( isLoading === false ) {\n\n\t\t\t\tif ( scope.onStart !== undefined ) {\n\n\t\t\t\t\tscope.onStart( url, itemsLoaded, itemsTotal );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tisLoading = true;\n\n\t\t};\n\n\t\tthis.itemEnd = function ( url ) {\n\n\t\t\titemsLoaded ++;\n\n\t\t\tif ( scope.onProgress !== undefined ) {\n\n\t\t\t\tscope.onProgress( url, itemsLoaded, itemsTotal );\n\n\t\t\t}\n\n\t\t\tif ( itemsLoaded === itemsTotal ) {\n\n\t\t\t\tisLoading = false;\n\n\t\t\t\tif ( scope.onLoad !== undefined ) {\n\n\t\t\t\t\tscope.onLoad();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.itemError = function ( url ) {\n\n\t\t\tif ( scope.onError !== undefined ) {\n\n\t\t\t\tscope.onError( url );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.resolveURL = function ( url ) {\n\n\t\t\tif ( urlModifier ) {\n\n\t\t\t\treturn urlModifier( url );\n\n\t\t\t}\n\n\t\t\treturn url;\n\n\t\t};\n\n\t\tthis.setURLModifier = function ( transform ) {\n\n\t\t\turlModifier = transform;\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.addHandler = function ( regex, loader ) {\n\n\t\t\thandlers.push( regex, loader );\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.removeHandler = function ( regex ) {\n\n\t\t\tconst index = handlers.indexOf( regex );\n\n\t\t\tif ( index !== - 1 ) {\n\n\t\t\t\thandlers.splice( index, 2 );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.getHandler = function ( file ) {\n\n\t\t\tfor ( let i = 0, l = handlers.length; i < l; i += 2 ) {\n\n\t\t\t\tconst regex = handlers[ i ];\n\t\t\t\tconst loader = handlers[ i + 1 ];\n\n\t\t\t\tif ( regex.global ) regex.lastIndex = 0; // see #17920\n\n\t\t\t\tif ( regex.test( file ) ) {\n\n\t\t\t\t\treturn loader;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn null;\n\n\t\t};\n\n\t}\n\n}\n\nconst DefaultLoadingManager = /*@__PURE__*/ new LoadingManager();\n\nclass Loader {\n\n\tconstructor( manager ) {\n\n\t\tthis.manager = ( manager !== undefined ) ? manager : DefaultLoadingManager;\n\n\t\tthis.crossOrigin = 'anonymous';\n\t\tthis.withCredentials = false;\n\t\tthis.path = '';\n\t\tthis.resourcePath = '';\n\t\tthis.requestHeader = {};\n\n\t}\n\n\tload( /* url, onLoad, onProgress, onError */ ) {}\n\n\tloadAsync( url, onProgress ) {\n\n\t\tconst scope = this;\n\n\t\treturn new Promise( function ( resolve, reject ) {\n\n\t\t\tscope.load( url, resolve, onProgress, reject );\n\n\t\t} );\n\n\t}\n\n\tparse( /* data */ ) {}\n\n\tsetCrossOrigin( crossOrigin ) {\n\n\t\tthis.crossOrigin = crossOrigin;\n\t\treturn this;\n\n\t}\n\n\tsetWithCredentials( value ) {\n\n\t\tthis.withCredentials = value;\n\t\treturn this;\n\n\t}\n\n\tsetPath( path ) {\n\n\t\tthis.path = path;\n\t\treturn this;\n\n\t}\n\n\tsetResourcePath( resourcePath ) {\n\n\t\tthis.resourcePath = resourcePath;\n\t\treturn this;\n\n\t}\n\n\tsetRequestHeader( requestHeader ) {\n\n\t\tthis.requestHeader = requestHeader;\n\t\treturn this;\n\n\t}\n\n}\n\nLoader.DEFAULT_MATERIAL_NAME = '__DEFAULT';\n\nconst loading = {};\n\nclass HttpError extends Error {\n\n\tconstructor( message, response ) {\n\n\t\tsuper( message );\n\t\tthis.response = response;\n\n\t}\n\n}\n\nclass FileLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( url === undefined ) url = '';\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tthis.manager.itemStart( url );\n\n\t\t\tsetTimeout( () => {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tthis.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\t// Check if request is duplicate\n\n\t\tif ( loading[ url ] !== undefined ) {\n\n\t\t\tloading[ url ].push( {\n\n\t\t\t\tonLoad: onLoad,\n\t\t\t\tonProgress: onProgress,\n\t\t\t\tonError: onError\n\n\t\t\t} );\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// Initialise array for duplicate requests\n\t\tloading[ url ] = [];\n\n\t\tloading[ url ].push( {\n\t\t\tonLoad: onLoad,\n\t\t\tonProgress: onProgress,\n\t\t\tonError: onError,\n\t\t} );\n\n\t\t// create request\n\t\tconst req = new Request( url, {\n\t\t\theaders: new Headers( this.requestHeader ),\n\t\t\tcredentials: this.withCredentials ? 'include' : 'same-origin',\n\t\t\t// An abort controller could be added within a future PR\n\t\t} );\n\n\t\t// record states ( avoid data race )\n\t\tconst mimeType = this.mimeType;\n\t\tconst responseType = this.responseType;\n\n\t\t// start the fetch\n\t\tfetch( req )\n\t\t\t.then( response => {\n\n\t\t\t\tif ( response.status === 200 || response.status === 0 ) {\n\n\t\t\t\t\t// Some browsers return HTTP Status 0 when using non-http protocol\n\t\t\t\t\t// e.g. 'file://' or 'data://'. Handle as success.\n\n\t\t\t\t\tif ( response.status === 0 ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.FileLoader: HTTP Status 0 received.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// Workaround: Checking if response.body === undefined for Alipay browser #23548\n\n\t\t\t\t\tif ( typeof ReadableStream === 'undefined' || response.body === undefined || response.body.getReader === undefined ) {\n\n\t\t\t\t\t\treturn response;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst callbacks = loading[ url ];\n\t\t\t\t\tconst reader = response.body.getReader();\n\n\t\t\t\t\t// Nginx needs X-File-Size check\n\t\t\t\t\t// https://serverfault.com/questions/482875/why-does-nginx-remove-content-length-header-for-chunked-content\n\t\t\t\t\tconst contentLength = response.headers.get( 'Content-Length' ) || response.headers.get( 'X-File-Size' );\n\t\t\t\t\tconst total = contentLength ? parseInt( contentLength ) : 0;\n\t\t\t\t\tconst lengthComputable = total !== 0;\n\t\t\t\t\tlet loaded = 0;\n\n\t\t\t\t\t// periodically read data into the new stream tracking while download progress\n\t\t\t\t\tconst stream = new ReadableStream( {\n\t\t\t\t\t\tstart( controller ) {\n\n\t\t\t\t\t\t\treadData();\n\n\t\t\t\t\t\t\tfunction readData() {\n\n\t\t\t\t\t\t\t\treader.read().then( ( { done, value } ) => {\n\n\t\t\t\t\t\t\t\t\tif ( done ) {\n\n\t\t\t\t\t\t\t\t\t\tcontroller.close();\n\n\t\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\t\tloaded += value.byteLength;\n\n\t\t\t\t\t\t\t\t\t\tconst event = new ProgressEvent( 'progress', { lengthComputable, loaded, total } );\n\t\t\t\t\t\t\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\t\t\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\t\t\t\t\t\t\tif ( callback.onProgress ) callback.onProgress( event );\n\n\t\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t\t\tcontroller.enqueue( value );\n\t\t\t\t\t\t\t\t\t\treadData();\n\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t} );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} );\n\n\t\t\t\t\treturn new Response( stream );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new HttpError( `fetch for \"${response.url}\" responded with ${response.status}: ${response.statusText}`, response );\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.then( response => {\n\n\t\t\t\tswitch ( responseType ) {\n\n\t\t\t\t\tcase 'arraybuffer':\n\n\t\t\t\t\t\treturn response.arrayBuffer();\n\n\t\t\t\t\tcase 'blob':\n\n\t\t\t\t\t\treturn response.blob();\n\n\t\t\t\t\tcase 'document':\n\n\t\t\t\t\t\treturn response.text()\n\t\t\t\t\t\t\t.then( text => {\n\n\t\t\t\t\t\t\t\tconst parser = new DOMParser();\n\t\t\t\t\t\t\t\treturn parser.parseFromString( text, mimeType );\n\n\t\t\t\t\t\t\t} );\n\n\t\t\t\t\tcase 'json':\n\n\t\t\t\t\t\treturn response.json();\n\n\t\t\t\t\tdefault:\n\n\t\t\t\t\t\tif ( mimeType === undefined ) {\n\n\t\t\t\t\t\t\treturn response.text();\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// sniff encoding\n\t\t\t\t\t\t\tconst re = /charset=\"?([^;\"\\s]*)\"?/i;\n\t\t\t\t\t\t\tconst exec = re.exec( mimeType );\n\t\t\t\t\t\t\tconst label = exec && exec[ 1 ] ? exec[ 1 ].toLowerCase() : undefined;\n\t\t\t\t\t\t\tconst decoder = new TextDecoder( label );\n\t\t\t\t\t\t\treturn response.arrayBuffer().then( ab => decoder.decode( ab ) );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.then( data => {\n\n\t\t\t\t// Add to cache only on HTTP success, so that we do not cache\n\t\t\t\t// error response bodies as proper responses to requests.\n\t\t\t\tCache.add( url, data );\n\n\t\t\t\tconst callbacks = loading[ url ];\n\t\t\t\tdelete loading[ url ];\n\n\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\tif ( callback.onLoad ) callback.onLoad( data );\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.catch( err => {\n\n\t\t\t\t// Abort errors and other errors are handled the same\n\n\t\t\t\tconst callbacks = loading[ url ];\n\n\t\t\t\tif ( callbacks === undefined ) {\n\n\t\t\t\t\t// When onLoad was called and url was deleted in `loading`\n\t\t\t\t\tthis.manager.itemError( url );\n\t\t\t\t\tthrow err;\n\n\t\t\t\t}\n\n\t\t\t\tdelete loading[ url ];\n\n\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\tif ( callback.onError ) callback.onError( err );\n\n\t\t\t\t}\n\n\t\t\t\tthis.manager.itemError( url );\n\n\t\t\t} )\n\t\t\t.finally( () => {\n\n\t\t\t\tthis.manager.itemEnd( url );\n\n\t\t\t} );\n\n\t\tthis.manager.itemStart( url );\n\n\t}\n\n\tsetResponseType( value ) {\n\n\t\tthis.responseType = value;\n\t\treturn this;\n\n\t}\n\n\tsetMimeType( value ) {\n\n\t\tthis.mimeType = value;\n\t\treturn this;\n\n\t}\n\n}\n\nclass AnimationLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst animations = [];\n\n\t\tfor ( let i = 0; i < json.length; i ++ ) {\n\n\t\t\tconst clip = AnimationClip.parse( json[ i ] );\n\n\t\t\tanimations.push( clip );\n\n\t\t}\n\n\t\treturn animations;\n\n\t}\n\n}\n\n/**\n * Abstract Base class to block based textures loader (dds, pvr, ...)\n *\n * Sub classes have to implement the parse() method which will be used in load().\n */\n\nclass CompressedTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst images = [];\n\n\t\tconst texture = new CompressedTexture();\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\n\t\tlet loaded = 0;\n\n\t\tfunction loadTexture( i ) {\n\n\t\t\tloader.load( url[ i ], function ( buffer ) {\n\n\t\t\t\tconst texDatas = scope.parse( buffer, true );\n\n\t\t\t\timages[ i ] = {\n\t\t\t\t\twidth: texDatas.width,\n\t\t\t\t\theight: texDatas.height,\n\t\t\t\t\tformat: texDatas.format,\n\t\t\t\t\tmipmaps: texDatas.mipmaps\n\t\t\t\t};\n\n\t\t\t\tloaded += 1;\n\n\t\t\t\tif ( loaded === 6 ) {\n\n\t\t\t\t\tif ( texDatas.mipmapCount === 1 ) texture.minFilter = LinearFilter;\n\n\t\t\t\t\ttexture.image = images;\n\t\t\t\t\ttexture.format = texDatas.format;\n\t\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t\t}\n\n\t\t\t}, onProgress, onError );\n\n\t\t}\n\n\t\tif ( Array.isArray( url ) ) {\n\n\t\t\tfor ( let i = 0, il = url.length; i < il; ++ i ) {\n\n\t\t\t\tloadTexture( i );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// compressed cubemap texture stored in a single DDS file\n\n\t\t\tloader.load( url, function ( buffer ) {\n\n\t\t\t\tconst texDatas = scope.parse( buffer, true );\n\n\t\t\t\tif ( texDatas.isCubemap ) {\n\n\t\t\t\t\tconst faces = texDatas.mipmaps.length / texDatas.mipmapCount;\n\n\t\t\t\t\tfor ( let f = 0; f < faces; f ++ ) {\n\n\t\t\t\t\t\timages[ f ] = { mipmaps: [] };\n\n\t\t\t\t\t\tfor ( let i = 0; i < texDatas.mipmapCount; i ++ ) {\n\n\t\t\t\t\t\t\timages[ f ].mipmaps.push( texDatas.mipmaps[ f * texDatas.mipmapCount + i ] );\n\t\t\t\t\t\t\timages[ f ].format = texDatas.format;\n\t\t\t\t\t\t\timages[ f ].width = texDatas.width;\n\t\t\t\t\t\t\timages[ f ].height = texDatas.height;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.image = images;\n\n\t\t\t\t} else {\n\n\t\t\t\t\ttexture.image.width = texDatas.width;\n\t\t\t\t\ttexture.image.height = texDatas.height;\n\t\t\t\t\ttexture.mipmaps = texDatas.mipmaps;\n\n\t\t\t\t}\n\n\t\t\t\tif ( texDatas.mipmapCount === 1 ) {\n\n\t\t\t\t\ttexture.minFilter = LinearFilter;\n\n\t\t\t\t}\n\n\t\t\t\ttexture.format = texDatas.format;\n\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t}, onProgress, onError );\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass ImageLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst scope = this;\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\tsetTimeout( function () {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\tconst image = createElementNS( 'img' );\n\n\t\tfunction onImageLoad() {\n\n\t\t\tremoveEventListeners();\n\n\t\t\tCache.add( url, this );\n\n\t\t\tif ( onLoad ) onLoad( this );\n\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t}\n\n\t\tfunction onImageError( event ) {\n\n\t\t\tremoveEventListeners();\n\n\t\t\tif ( onError ) onError( event );\n\n\t\t\tscope.manager.itemError( url );\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t}\n\n\t\tfunction removeEventListeners() {\n\n\t\t\timage.removeEventListener( 'load', onImageLoad, false );\n\t\t\timage.removeEventListener( 'error', onImageError, false );\n\n\t\t}\n\n\t\timage.addEventListener( 'load', onImageLoad, false );\n\t\timage.addEventListener( 'error', onImageError, false );\n\n\t\tif ( url.slice( 0, 5 ) !== 'data:' ) {\n\n\t\t\tif ( this.crossOrigin !== undefined ) image.crossOrigin = this.crossOrigin;\n\n\t\t}\n\n\t\tscope.manager.itemStart( url );\n\n\t\timage.src = url;\n\n\t\treturn image;\n\n\t}\n\n}\n\nclass CubeTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( urls, onLoad, onProgress, onError ) {\n\n\t\tconst texture = new CubeTexture();\n\t\ttexture.colorSpace = SRGBColorSpace;\n\n\t\tconst loader = new ImageLoader( this.manager );\n\t\tloader.setCrossOrigin( this.crossOrigin );\n\t\tloader.setPath( this.path );\n\n\t\tlet loaded = 0;\n\n\t\tfunction loadTexture( i ) {\n\n\t\t\tloader.load( urls[ i ], function ( image ) {\n\n\t\t\t\ttexture.images[ i ] = image;\n\n\t\t\t\tloaded ++;\n\n\t\t\t\tif ( loaded === 6 ) {\n\n\t\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t\t}\n\n\t\t\t}, undefined, onError );\n\n\t\t}\n\n\t\tfor ( let i = 0; i < urls.length; ++ i ) {\n\n\t\t\tloadTexture( i );\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n}\n\n/**\n * Abstract Base class to load generic binary textures formats (rgbe, hdr, ...)\n *\n * Sub classes have to implement the parse() method which will be used in load().\n */\n\nclass DataTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst texture = new DataTexture();\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setPath( this.path );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( buffer ) {\n\n\t\t\tlet texData;\n\n\t\t\ttry {\n\n\t\t\t\ttexData = scope.parse( buffer );\n\n\t\t\t} catch ( error ) {\n\n\t\t\t\tif ( onError !== undefined ) {\n\n\t\t\t\t\tonError( error );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( error );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( texData.image !== undefined ) {\n\n\t\t\t\ttexture.image = texData.image;\n\n\t\t\t} else if ( texData.data !== undefined ) {\n\n\t\t\t\ttexture.image.width = texData.width;\n\t\t\t\ttexture.image.height = texData.height;\n\t\t\t\ttexture.image.data = texData.data;\n\n\t\t\t}\n\n\t\t\ttexture.wrapS = texData.wrapS !== undefined ? texData.wrapS : ClampToEdgeWrapping;\n\t\t\ttexture.wrapT = texData.wrapT !== undefined ? texData.wrapT : ClampToEdgeWrapping;\n\n\t\t\ttexture.magFilter = texData.magFilter !== undefined ? texData.magFilter : LinearFilter;\n\t\t\ttexture.minFilter = texData.minFilter !== undefined ? texData.minFilter : LinearFilter;\n\n\t\t\ttexture.anisotropy = texData.anisotropy !== undefined ? texData.anisotropy : 1;\n\n\t\t\tif ( texData.colorSpace !== undefined ) {\n\n\t\t\t\ttexture.colorSpace = texData.colorSpace;\n\n\t\t\t} else if ( texData.encoding !== undefined ) { // @deprecated, r152\n\n\t\t\t\ttexture.encoding = texData.encoding;\n\n\t\t\t}\n\n\t\t\tif ( texData.flipY !== undefined ) {\n\n\t\t\t\ttexture.flipY = texData.flipY;\n\n\t\t\t}\n\n\t\t\tif ( texData.format !== undefined ) {\n\n\t\t\t\ttexture.format = texData.format;\n\n\t\t\t}\n\n\t\t\tif ( texData.type !== undefined ) {\n\n\t\t\t\ttexture.type = texData.type;\n\n\t\t\t}\n\n\t\t\tif ( texData.mipmaps !== undefined ) {\n\n\t\t\t\ttexture.mipmaps = texData.mipmaps;\n\t\t\t\ttexture.minFilter = LinearMipmapLinearFilter; // presumably...\n\n\t\t\t}\n\n\t\t\tif ( texData.mipmapCount === 1 ) {\n\n\t\t\t\ttexture.minFilter = LinearFilter;\n\n\t\t\t}\n\n\t\t\tif ( texData.generateMipmaps !== undefined ) {\n\n\t\t\t\ttexture.generateMipmaps = texData.generateMipmaps;\n\n\t\t\t}\n\n\t\t\ttexture.needsUpdate = true;\n\n\t\t\tif ( onLoad ) onLoad( texture, texData );\n\n\t\t}, onProgress, onError );\n\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass TextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst texture = new Texture();\n\n\t\tconst loader = new ImageLoader( this.manager );\n\t\tloader.setCrossOrigin( this.crossOrigin );\n\t\tloader.setPath( this.path );\n\n\t\tloader.load( url, function ( image ) {\n\n\t\t\ttexture.image = image;\n\t\t\ttexture.needsUpdate = true;\n\n\t\t\tif ( onLoad !== undefined ) {\n\n\t\t\t\tonLoad( texture );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass Light extends Object3D {\n\n\tconstructor( color, intensity = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.isLight = true;\n\n\t\tthis.type = 'Light';\n\n\t\tthis.color = new Color( color );\n\t\tthis.intensity = intensity;\n\n\t}\n\n\tdispose() {\n\n\t\t// Empty here in base class; some subclasses override.\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.color.copy( source.color );\n\t\tthis.intensity = source.intensity;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.color = this.color.getHex();\n\t\tdata.object.intensity = this.intensity;\n\n\t\tif ( this.groundColor !== undefined ) data.object.groundColor = this.groundColor.getHex();\n\n\t\tif ( this.distance !== undefined ) data.object.distance = this.distance;\n\t\tif ( this.angle !== undefined ) data.object.angle = this.angle;\n\t\tif ( this.decay !== undefined ) data.object.decay = this.decay;\n\t\tif ( this.penumbra !== undefined ) data.object.penumbra = this.penumbra;\n\n\t\tif ( this.shadow !== undefined ) data.object.shadow = this.shadow.toJSON();\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass HemisphereLight extends Light {\n\n\tconstructor( skyColor, groundColor, intensity ) {\n\n\t\tsuper( skyColor, intensity );\n\n\t\tthis.isHemisphereLight = true;\n\n\t\tthis.type = 'HemisphereLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.groundColor = new Color( groundColor );\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.groundColor.copy( source.groundColor );\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _projScreenMatrix$1 = /*@__PURE__*/ new Matrix4();\nconst _lightPositionWorld$1 = /*@__PURE__*/ new Vector3();\nconst _lookTarget$1 = /*@__PURE__*/ new Vector3();\n\nclass LightShadow {\n\n\tconstructor( camera ) {\n\n\t\tthis.camera = camera;\n\n\t\tthis.bias = 0;\n\t\tthis.normalBias = 0;\n\t\tthis.radius = 1;\n\t\tthis.blurSamples = 8;\n\n\t\tthis.mapSize = new Vector2( 512, 512 );\n\n\t\tthis.map = null;\n\t\tthis.mapPass = null;\n\t\tthis.matrix = new Matrix4();\n\n\t\tthis.autoUpdate = true;\n\t\tthis.needsUpdate = false;\n\n\t\tthis._frustum = new Frustum();\n\t\tthis._frameExtents = new Vector2( 1, 1 );\n\n\t\tthis._viewportCount = 1;\n\n\t\tthis._viewports = [\n\n\t\t\tnew Vector4( 0, 0, 1, 1 )\n\n\t\t];\n\n\t}\n\n\tgetViewportCount() {\n\n\t\treturn this._viewportCount;\n\n\t}\n\n\tgetFrustum() {\n\n\t\treturn this._frustum;\n\n\t}\n\n\tupdateMatrices( light ) {\n\n\t\tconst shadowCamera = this.camera;\n\t\tconst shadowMatrix = this.matrix;\n\n\t\t_lightPositionWorld$1.setFromMatrixPosition( light.matrixWorld );\n\t\tshadowCamera.position.copy( _lightPositionWorld$1 );\n\n\t\t_lookTarget$1.setFromMatrixPosition( light.target.matrixWorld );\n\t\tshadowCamera.lookAt( _lookTarget$1 );\n\t\tshadowCamera.updateMatrixWorld();\n\n\t\t_projScreenMatrix$1.multiplyMatrices( shadowCamera.projectionMatrix, shadowCamera.matrixWorldInverse );\n\t\tthis._frustum.setFromProjectionMatrix( _projScreenMatrix$1 );\n\n\t\tshadowMatrix.set(\n\t\t\t0.5, 0.0, 0.0, 0.5,\n\t\t\t0.0, 0.5, 0.0, 0.5,\n\t\t\t0.0, 0.0, 0.5, 0.5,\n\t\t\t0.0, 0.0, 0.0, 1.0\n\t\t);\n\n\t\tshadowMatrix.multiply( _projScreenMatrix$1 );\n\n\t}\n\n\tgetViewport( viewportIndex ) {\n\n\t\treturn this._viewports[ viewportIndex ];\n\n\t}\n\n\tgetFrameExtents() {\n\n\t\treturn this._frameExtents;\n\n\t}\n\n\tdispose() {\n\n\t\tif ( this.map ) {\n\n\t\t\tthis.map.dispose();\n\n\t\t}\n\n\t\tif ( this.mapPass ) {\n\n\t\t\tthis.mapPass.dispose();\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.camera = source.camera.clone();\n\n\t\tthis.bias = source.bias;\n\t\tthis.radius = source.radius;\n\n\t\tthis.mapSize.copy( source.mapSize );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst object = {};\n\n\t\tif ( this.bias !== 0 ) object.bias = this.bias;\n\t\tif ( this.normalBias !== 0 ) object.normalBias = this.normalBias;\n\t\tif ( this.radius !== 1 ) object.radius = this.radius;\n\t\tif ( this.mapSize.x !== 512 || this.mapSize.y !== 512 ) object.mapSize = this.mapSize.toArray();\n\n\t\tobject.camera = this.camera.toJSON( false ).object;\n\t\tdelete object.camera.matrix;\n\n\t\treturn object;\n\n\t}\n\n}\n\nclass SpotLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new PerspectiveCamera( 50, 1, 0.5, 500 ) );\n\n\t\tthis.isSpotLightShadow = true;\n\n\t\tthis.focus = 1;\n\n\t}\n\n\tupdateMatrices( light ) {\n\n\t\tconst camera = this.camera;\n\n\t\tconst fov = RAD2DEG * 2 * light.angle * this.focus;\n\t\tconst aspect = this.mapSize.width / this.mapSize.height;\n\t\tconst far = light.distance || camera.far;\n\n\t\tif ( fov !== camera.fov || aspect !== camera.aspect || far !== camera.far ) {\n\n\t\t\tcamera.fov = fov;\n\t\t\tcamera.aspect = aspect;\n\t\t\tcamera.far = far;\n\t\t\tcamera.updateProjectionMatrix();\n\n\t\t}\n\n\t\tsuper.updateMatrices( light );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.focus = source.focus;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass SpotLight extends Light {\n\n\tconstructor( color, intensity, distance = 0, angle = Math.PI / 3, penumbra = 0, decay = 2 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isSpotLight = true;\n\n\t\tthis.type = 'SpotLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.target = new Object3D();\n\n\t\tthis.distance = distance;\n\t\tthis.angle = angle;\n\t\tthis.penumbra = penumbra;\n\t\tthis.decay = decay;\n\n\t\tthis.map = null;\n\n\t\tthis.shadow = new SpotLightShadow();\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in candela)\n\t\t// by convention for a spotlight, luminous power (lm) = π * luminous intensity (cd)\n\t\treturn this.intensity * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in candela) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / Math.PI;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.distance = source.distance;\n\t\tthis.angle = source.angle;\n\t\tthis.penumbra = source.penumbra;\n\t\tthis.decay = source.decay;\n\n\t\tthis.target = source.target.clone();\n\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _projScreenMatrix = /*@__PURE__*/ new Matrix4();\nconst _lightPositionWorld = /*@__PURE__*/ new Vector3();\nconst _lookTarget = /*@__PURE__*/ new Vector3();\n\nclass PointLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new PerspectiveCamera( 90, 1, 0.5, 500 ) );\n\n\t\tthis.isPointLightShadow = true;\n\n\t\tthis._frameExtents = new Vector2( 4, 2 );\n\n\t\tthis._viewportCount = 6;\n\n\t\tthis._viewports = [\n\t\t\t// These viewports map a cube-map onto a 2D texture with the\n\t\t\t// following orientation:\n\t\t\t//\n\t\t\t// xzXZ\n\t\t\t// y Y\n\t\t\t//\n\t\t\t// X - Positive x direction\n\t\t\t// x - Negative x direction\n\t\t\t// Y - Positive y direction\n\t\t\t// y - Negative y direction\n\t\t\t// Z - Positive z direction\n\t\t\t// z - Negative z direction\n\n\t\t\t// positive X\n\t\t\tnew Vector4( 2, 1, 1, 1 ),\n\t\t\t// negative X\n\t\t\tnew Vector4( 0, 1, 1, 1 ),\n\t\t\t// positive Z\n\t\t\tnew Vector4( 3, 1, 1, 1 ),\n\t\t\t// negative Z\n\t\t\tnew Vector4( 1, 1, 1, 1 ),\n\t\t\t// positive Y\n\t\t\tnew Vector4( 3, 0, 1, 1 ),\n\t\t\t// negative Y\n\t\t\tnew Vector4( 1, 0, 1, 1 )\n\t\t];\n\n\t\tthis._cubeDirections = [\n\t\t\tnew Vector3( 1, 0, 0 ), new Vector3( - 1, 0, 0 ), new Vector3( 0, 0, 1 ),\n\t\t\tnew Vector3( 0, 0, - 1 ), new Vector3( 0, 1, 0 ), new Vector3( 0, - 1, 0 )\n\t\t];\n\n\t\tthis._cubeUps = [\n\t\t\tnew Vector3( 0, 1, 0 ), new Vector3( 0, 1, 0 ), new Vector3( 0, 1, 0 ),\n\t\t\tnew Vector3( 0, 1, 0 ), new Vector3( 0, 0, 1 ),\tnew Vector3( 0, 0, - 1 )\n\t\t];\n\n\t}\n\n\tupdateMatrices( light, viewportIndex = 0 ) {\n\n\t\tconst camera = this.camera;\n\t\tconst shadowMatrix = this.matrix;\n\n\t\tconst far = light.distance || camera.far;\n\n\t\tif ( far !== camera.far ) {\n\n\t\t\tcamera.far = far;\n\t\t\tcamera.updateProjectionMatrix();\n\n\t\t}\n\n\t\t_lightPositionWorld.setFromMatrixPosition( light.matrixWorld );\n\t\tcamera.position.copy( _lightPositionWorld );\n\n\t\t_lookTarget.copy( camera.position );\n\t\t_lookTarget.add( this._cubeDirections[ viewportIndex ] );\n\t\tcamera.up.copy( this._cubeUps[ viewportIndex ] );\n\t\tcamera.lookAt( _lookTarget );\n\t\tcamera.updateMatrixWorld();\n\n\t\tshadowMatrix.makeTranslation( - _lightPositionWorld.x, - _lightPositionWorld.y, - _lightPositionWorld.z );\n\n\t\t_projScreenMatrix.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse );\n\t\tthis._frustum.setFromProjectionMatrix( _projScreenMatrix );\n\n\t}\n\n}\n\nclass PointLight extends Light {\n\n\tconstructor( color, intensity, distance = 0, decay = 2 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isPointLight = true;\n\n\t\tthis.type = 'PointLight';\n\n\t\tthis.distance = distance;\n\t\tthis.decay = decay;\n\n\t\tthis.shadow = new PointLightShadow();\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in candela)\n\t\t// for an isotropic light source, luminous power (lm) = 4 π luminous intensity (cd)\n\t\treturn this.intensity * 4 * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in candela) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / ( 4 * Math.PI );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.distance = source.distance;\n\t\tthis.decay = source.decay;\n\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass DirectionalLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new OrthographicCamera( - 5, 5, 5, - 5, 0.5, 500 ) );\n\n\t\tthis.isDirectionalLightShadow = true;\n\n\t}\n\n}\n\nclass DirectionalLight extends Light {\n\n\tconstructor( color, intensity ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isDirectionalLight = true;\n\n\t\tthis.type = 'DirectionalLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.target = new Object3D();\n\n\t\tthis.shadow = new DirectionalLightShadow();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.target = source.target.clone();\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass AmbientLight extends Light {\n\n\tconstructor( color, intensity ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isAmbientLight = true;\n\n\t\tthis.type = 'AmbientLight';\n\n\t}\n\n}\n\nclass RectAreaLight extends Light {\n\n\tconstructor( color, intensity, width = 10, height = 10 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isRectAreaLight = true;\n\n\t\tthis.type = 'RectAreaLight';\n\n\t\tthis.width = width;\n\t\tthis.height = height;\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in nits)\n\t\treturn this.intensity * this.width * this.height * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in nits) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / ( this.width * this.height * Math.PI );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.width = this.width;\n\t\tdata.object.height = this.height;\n\n\t\treturn data;\n\n\t}\n\n}\n\n/**\n * Primary reference:\n * https://graphics.stanford.edu/papers/envmap/envmap.pdf\n *\n * Secondary reference:\n * https://www.ppsloan.org/publications/StupidSH36.pdf\n */\n\n// 3-band SH defined by 9 coefficients\n\nclass SphericalHarmonics3 {\n\n\tconstructor() {\n\n\t\tthis.isSphericalHarmonics3 = true;\n\n\t\tthis.coefficients = [];\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients.push( new Vector3() );\n\n\t\t}\n\n\t}\n\n\tset( coefficients ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].copy( coefficients[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tzero() {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].set( 0, 0, 0 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// get the radiance in the direction of the normal\n\t// target is a Vector3\n\tgetAt( normal, target ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\tconst coeff = this.coefficients;\n\n\t\t// band 0\n\t\ttarget.copy( coeff[ 0 ] ).multiplyScalar( 0.282095 );\n\n\t\t// band 1\n\t\ttarget.addScaledVector( coeff[ 1 ], 0.488603 * y );\n\t\ttarget.addScaledVector( coeff[ 2 ], 0.488603 * z );\n\t\ttarget.addScaledVector( coeff[ 3 ], 0.488603 * x );\n\n\t\t// band 2\n\t\ttarget.addScaledVector( coeff[ 4 ], 1.092548 * ( x * y ) );\n\t\ttarget.addScaledVector( coeff[ 5 ], 1.092548 * ( y * z ) );\n\t\ttarget.addScaledVector( coeff[ 6 ], 0.315392 * ( 3.0 * z * z - 1.0 ) );\n\t\ttarget.addScaledVector( coeff[ 7 ], 1.092548 * ( x * z ) );\n\t\ttarget.addScaledVector( coeff[ 8 ], 0.546274 * ( x * x - y * y ) );\n\n\t\treturn target;\n\n\t}\n\n\t// get the irradiance (radiance convolved with cosine lobe) in the direction of the normal\n\t// target is a Vector3\n\t// https://graphics.stanford.edu/papers/envmap/envmap.pdf\n\tgetIrradianceAt( normal, target ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\tconst coeff = this.coefficients;\n\n\t\t// band 0\n\t\ttarget.copy( coeff[ 0 ] ).multiplyScalar( 0.886227 ); // π * 0.282095\n\n\t\t// band 1\n\t\ttarget.addScaledVector( coeff[ 1 ], 2.0 * 0.511664 * y ); // ( 2 * π / 3 ) * 0.488603\n\t\ttarget.addScaledVector( coeff[ 2 ], 2.0 * 0.511664 * z );\n\t\ttarget.addScaledVector( coeff[ 3 ], 2.0 * 0.511664 * x );\n\n\t\t// band 2\n\t\ttarget.addScaledVector( coeff[ 4 ], 2.0 * 0.429043 * x * y ); // ( π / 4 ) * 1.092548\n\t\ttarget.addScaledVector( coeff[ 5 ], 2.0 * 0.429043 * y * z );\n\t\ttarget.addScaledVector( coeff[ 6 ], 0.743125 * z * z - 0.247708 ); // ( π / 4 ) * 0.315392 * 3\n\t\ttarget.addScaledVector( coeff[ 7 ], 2.0 * 0.429043 * x * z );\n\t\ttarget.addScaledVector( coeff[ 8 ], 0.429043 * ( x * x - y * y ) ); // ( π / 4 ) * 0.546274\n\n\t\treturn target;\n\n\t}\n\n\tadd( sh ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].add( sh.coefficients[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\taddScaledSH( sh, s ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].addScaledVector( sh.coefficients[ i ], s );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tscale( s ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].multiplyScalar( s );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tlerp( sh, alpha ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].lerp( sh.coefficients[ i ], alpha );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tequals( sh ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tif ( ! this.coefficients[ i ].equals( sh.coefficients[ i ] ) ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tcopy( sh ) {\n\n\t\treturn this.set( sh.coefficients );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tconst coefficients = this.coefficients;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tcoefficients[ i ].fromArray( array, offset + ( i * 3 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst coefficients = this.coefficients;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tcoefficients[ i ].toArray( array, offset + ( i * 3 ) );\n\n\t\t}\n\n\t\treturn array;\n\n\t}\n\n\t// evaluate the basis functions\n\t// shBasis is an Array[ 9 ]\n\tstatic getBasisAt( normal, shBasis ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\t// band 0\n\t\tshBasis[ 0 ] = 0.282095;\n\n\t\t// band 1\n\t\tshBasis[ 1 ] = 0.488603 * y;\n\t\tshBasis[ 2 ] = 0.488603 * z;\n\t\tshBasis[ 3 ] = 0.488603 * x;\n\n\t\t// band 2\n\t\tshBasis[ 4 ] = 1.092548 * x * y;\n\t\tshBasis[ 5 ] = 1.092548 * y * z;\n\t\tshBasis[ 6 ] = 0.315392 * ( 3 * z * z - 1 );\n\t\tshBasis[ 7 ] = 1.092548 * x * z;\n\t\tshBasis[ 8 ] = 0.546274 * ( x * x - y * y );\n\n\t}\n\n}\n\nclass LightProbe extends Light {\n\n\tconstructor( sh = new SphericalHarmonics3(), intensity = 1 ) {\n\n\t\tsuper( undefined, intensity );\n\n\t\tthis.isLightProbe = true;\n\n\t\tthis.sh = sh;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.sh.copy( source.sh );\n\n\t\treturn this;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tthis.intensity = json.intensity; // TODO: Move this bit to Light.fromJSON();\n\t\tthis.sh.fromArray( json.sh );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.sh = this.sh.toArray();\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass MaterialLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\t\tthis.textures = {};\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( scope.manager );\n\t\tloader.setPath( scope.path );\n\t\tloader.setRequestHeader( scope.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst textures = this.textures;\n\n\t\tfunction getTexture( name ) {\n\n\t\t\tif ( textures[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.MaterialLoader: Undefined texture', name );\n\n\t\t\t}\n\n\t\t\treturn textures[ name ];\n\n\t\t}\n\n\t\tconst material = MaterialLoader.createMaterialFromType( json.type );\n\n\t\tif ( json.uuid !== undefined ) material.uuid = json.uuid;\n\t\tif ( json.name !== undefined ) material.name = json.name;\n\t\tif ( json.color !== undefined && material.color !== undefined ) material.color.setHex( json.color );\n\t\tif ( json.roughness !== undefined ) material.roughness = json.roughness;\n\t\tif ( json.metalness !== undefined ) material.metalness = json.metalness;\n\t\tif ( json.sheen !== undefined ) material.sheen = json.sheen;\n\t\tif ( json.sheenColor !== undefined ) material.sheenColor = new Color().setHex( json.sheenColor );\n\t\tif ( json.sheenRoughness !== undefined ) material.sheenRoughness = json.sheenRoughness;\n\t\tif ( json.emissive !== undefined && material.emissive !== undefined ) material.emissive.setHex( json.emissive );\n\t\tif ( json.specular !== undefined && material.specular !== undefined ) material.specular.setHex( json.specular );\n\t\tif ( json.specularIntensity !== undefined ) material.specularIntensity = json.specularIntensity;\n\t\tif ( json.specularColor !== undefined && material.specularColor !== undefined ) material.specularColor.setHex( json.specularColor );\n\t\tif ( json.shininess !== undefined ) material.shininess = json.shininess;\n\t\tif ( json.clearcoat !== undefined ) material.clearcoat = json.clearcoat;\n\t\tif ( json.clearcoatRoughness !== undefined ) material.clearcoatRoughness = json.clearcoatRoughness;\n\t\tif ( json.iridescence !== undefined ) material.iridescence = json.iridescence;\n\t\tif ( json.iridescenceIOR !== undefined ) material.iridescenceIOR = json.iridescenceIOR;\n\t\tif ( json.iridescenceThicknessRange !== undefined ) material.iridescenceThicknessRange = json.iridescenceThicknessRange;\n\t\tif ( json.transmission !== undefined ) material.transmission = json.transmission;\n\t\tif ( json.thickness !== undefined ) material.thickness = json.thickness;\n\t\tif ( json.attenuationDistance !== undefined ) material.attenuationDistance = json.attenuationDistance;\n\t\tif ( json.attenuationColor !== undefined && material.attenuationColor !== undefined ) material.attenuationColor.setHex( json.attenuationColor );\n\t\tif ( json.anisotropy !== undefined ) material.anisotropy = json.anisotropy;\n\t\tif ( json.anisotropyRotation !== undefined ) material.anisotropyRotation = json.anisotropyRotation;\n\t\tif ( json.fog !== undefined ) material.fog = json.fog;\n\t\tif ( json.flatShading !== undefined ) material.flatShading = json.flatShading;\n\t\tif ( json.blending !== undefined ) material.blending = json.blending;\n\t\tif ( json.combine !== undefined ) material.combine = json.combine;\n\t\tif ( json.side !== undefined ) material.side = json.side;\n\t\tif ( json.shadowSide !== undefined ) material.shadowSide = json.shadowSide;\n\t\tif ( json.opacity !== undefined ) material.opacity = json.opacity;\n\t\tif ( json.transparent !== undefined ) material.transparent = json.transparent;\n\t\tif ( json.alphaTest !== undefined ) material.alphaTest = json.alphaTest;\n\t\tif ( json.alphaHash !== undefined ) material.alphaHash = json.alphaHash;\n\t\tif ( json.depthFunc !== undefined ) material.depthFunc = json.depthFunc;\n\t\tif ( json.depthTest !== undefined ) material.depthTest = json.depthTest;\n\t\tif ( json.depthWrite !== undefined ) material.depthWrite = json.depthWrite;\n\t\tif ( json.colorWrite !== undefined ) material.colorWrite = json.colorWrite;\n\t\tif ( json.blendSrc !== undefined ) material.blendSrc = json.blendSrc;\n\t\tif ( json.blendDst !== undefined ) material.blendDst = json.blendDst;\n\t\tif ( json.blendEquation !== undefined ) material.blendEquation = json.blendEquation;\n\t\tif ( json.blendSrcAlpha !== undefined ) material.blendSrcAlpha = json.blendSrcAlpha;\n\t\tif ( json.blendDstAlpha !== undefined ) material.blendDstAlpha = json.blendDstAlpha;\n\t\tif ( json.blendEquationAlpha !== undefined ) material.blendEquationAlpha = json.blendEquationAlpha;\n\t\tif ( json.blendColor !== undefined && material.blendColor !== undefined ) material.blendColor.setHex( json.blendColor );\n\t\tif ( json.blendAlpha !== undefined ) material.blendAlpha = json.blendAlpha;\n\t\tif ( json.stencilWriteMask !== undefined ) material.stencilWriteMask = json.stencilWriteMask;\n\t\tif ( json.stencilFunc !== undefined ) material.stencilFunc = json.stencilFunc;\n\t\tif ( json.stencilRef !== undefined ) material.stencilRef = json.stencilRef;\n\t\tif ( json.stencilFuncMask !== undefined ) material.stencilFuncMask = json.stencilFuncMask;\n\t\tif ( json.stencilFail !== undefined ) material.stencilFail = json.stencilFail;\n\t\tif ( json.stencilZFail !== undefined ) material.stencilZFail = json.stencilZFail;\n\t\tif ( json.stencilZPass !== undefined ) material.stencilZPass = json.stencilZPass;\n\t\tif ( json.stencilWrite !== undefined ) material.stencilWrite = json.stencilWrite;\n\n\t\tif ( json.wireframe !== undefined ) material.wireframe = json.wireframe;\n\t\tif ( json.wireframeLinewidth !== undefined ) material.wireframeLinewidth = json.wireframeLinewidth;\n\t\tif ( json.wireframeLinecap !== undefined ) material.wireframeLinecap = json.wireframeLinecap;\n\t\tif ( json.wireframeLinejoin !== undefined ) material.wireframeLinejoin = json.wireframeLinejoin;\n\n\t\tif ( json.rotation !== undefined ) material.rotation = json.rotation;\n\n\t\tif ( json.linewidth !== undefined ) material.linewidth = json.linewidth;\n\t\tif ( json.dashSize !== undefined ) material.dashSize = json.dashSize;\n\t\tif ( json.gapSize !== undefined ) material.gapSize = json.gapSize;\n\t\tif ( json.scale !== undefined ) material.scale = json.scale;\n\n\t\tif ( json.polygonOffset !== undefined ) material.polygonOffset = json.polygonOffset;\n\t\tif ( json.polygonOffsetFactor !== undefined ) material.polygonOffsetFactor = json.polygonOffsetFactor;\n\t\tif ( json.polygonOffsetUnits !== undefined ) material.polygonOffsetUnits = json.polygonOffsetUnits;\n\n\t\tif ( json.dithering !== undefined ) material.dithering = json.dithering;\n\n\t\tif ( json.alphaToCoverage !== undefined ) material.alphaToCoverage = json.alphaToCoverage;\n\t\tif ( json.premultipliedAlpha !== undefined ) material.premultipliedAlpha = json.premultipliedAlpha;\n\t\tif ( json.forceSinglePass !== undefined ) material.forceSinglePass = json.forceSinglePass;\n\n\t\tif ( json.visible !== undefined ) material.visible = json.visible;\n\n\t\tif ( json.toneMapped !== undefined ) material.toneMapped = json.toneMapped;\n\n\t\tif ( json.userData !== undefined ) material.userData = json.userData;\n\n\t\tif ( json.vertexColors !== undefined ) {\n\n\t\t\tif ( typeof json.vertexColors === 'number' ) {\n\n\t\t\t\tmaterial.vertexColors = ( json.vertexColors > 0 ) ? true : false;\n\n\t\t\t} else {\n\n\t\t\t\tmaterial.vertexColors = json.vertexColors;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Shader Material\n\n\t\tif ( json.uniforms !== undefined ) {\n\n\t\t\tfor ( const name in json.uniforms ) {\n\n\t\t\t\tconst uniform = json.uniforms[ name ];\n\n\t\t\t\tmaterial.uniforms[ name ] = {};\n\n\t\t\t\tswitch ( uniform.type ) {\n\n\t\t\t\t\tcase 't':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = getTexture( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'c':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Color().setHex( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v2':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector2().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v3':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector3().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v4':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector4().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'm3':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Matrix3().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'm4':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Matrix4().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = uniform.value;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json.defines !== undefined ) material.defines = json.defines;\n\t\tif ( json.vertexShader !== undefined ) material.vertexShader = json.vertexShader;\n\t\tif ( json.fragmentShader !== undefined ) material.fragmentShader = json.fragmentShader;\n\t\tif ( json.glslVersion !== undefined ) material.glslVersion = json.glslVersion;\n\n\t\tif ( json.extensions !== undefined ) {\n\n\t\t\tfor ( const key in json.extensions ) {\n\n\t\t\t\tmaterial.extensions[ key ] = json.extensions[ key ];\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json.lights !== undefined ) material.lights = json.lights;\n\t\tif ( json.clipping !== undefined ) material.clipping = json.clipping;\n\n\t\t// for PointsMaterial\n\n\t\tif ( json.size !== undefined ) material.size = json.size;\n\t\tif ( json.sizeAttenuation !== undefined ) material.sizeAttenuation = json.sizeAttenuation;\n\n\t\t// maps\n\n\t\tif ( json.map !== undefined ) material.map = getTexture( json.map );\n\t\tif ( json.matcap !== undefined ) material.matcap = getTexture( json.matcap );\n\n\t\tif ( json.alphaMap !== undefined ) material.alphaMap = getTexture( json.alphaMap );\n\n\t\tif ( json.bumpMap !== undefined ) material.bumpMap = getTexture( json.bumpMap );\n\t\tif ( json.bumpScale !== undefined ) material.bumpScale = json.bumpScale;\n\n\t\tif ( json.normalMap !== undefined ) material.normalMap = getTexture( json.normalMap );\n\t\tif ( json.normalMapType !== undefined ) material.normalMapType = json.normalMapType;\n\t\tif ( json.normalScale !== undefined ) {\n\n\t\t\tlet normalScale = json.normalScale;\n\n\t\t\tif ( Array.isArray( normalScale ) === false ) {\n\n\t\t\t\t// Blender exporter used to export a scalar. See #7459\n\n\t\t\t\tnormalScale = [ normalScale, normalScale ];\n\n\t\t\t}\n\n\t\t\tmaterial.normalScale = new Vector2().fromArray( normalScale );\n\n\t\t}\n\n\t\tif ( json.displacementMap !== undefined ) material.displacementMap = getTexture( json.displacementMap );\n\t\tif ( json.displacementScale !== undefined ) material.displacementScale = json.displacementScale;\n\t\tif ( json.displacementBias !== undefined ) material.displacementBias = json.displacementBias;\n\n\t\tif ( json.roughnessMap !== undefined ) material.roughnessMap = getTexture( json.roughnessMap );\n\t\tif ( json.metalnessMap !== undefined ) material.metalnessMap = getTexture( json.metalnessMap );\n\n\t\tif ( json.emissiveMap !== undefined ) material.emissiveMap = getTexture( json.emissiveMap );\n\t\tif ( json.emissiveIntensity !== undefined ) material.emissiveIntensity = json.emissiveIntensity;\n\n\t\tif ( json.specularMap !== undefined ) material.specularMap = getTexture( json.specularMap );\n\t\tif ( json.specularIntensityMap !== undefined ) material.specularIntensityMap = getTexture( json.specularIntensityMap );\n\t\tif ( json.specularColorMap !== undefined ) material.specularColorMap = getTexture( json.specularColorMap );\n\n\t\tif ( json.envMap !== undefined ) material.envMap = getTexture( json.envMap );\n\t\tif ( json.envMapIntensity !== undefined ) material.envMapIntensity = json.envMapIntensity;\n\n\t\tif ( json.reflectivity !== undefined ) material.reflectivity = json.reflectivity;\n\t\tif ( json.refractionRatio !== undefined ) material.refractionRatio = json.refractionRatio;\n\n\t\tif ( json.lightMap !== undefined ) material.lightMap = getTexture( json.lightMap );\n\t\tif ( json.lightMapIntensity !== undefined ) material.lightMapIntensity = json.lightMapIntensity;\n\n\t\tif ( json.aoMap !== undefined ) material.aoMap = getTexture( json.aoMap );\n\t\tif ( json.aoMapIntensity !== undefined ) material.aoMapIntensity = json.aoMapIntensity;\n\n\t\tif ( json.gradientMap !== undefined ) material.gradientMap = getTexture( json.gradientMap );\n\n\t\tif ( json.clearcoatMap !== undefined ) material.clearcoatMap = getTexture( json.clearcoatMap );\n\t\tif ( json.clearcoatRoughnessMap !== undefined ) material.clearcoatRoughnessMap = getTexture( json.clearcoatRoughnessMap );\n\t\tif ( json.clearcoatNormalMap !== undefined ) material.clearcoatNormalMap = getTexture( json.clearcoatNormalMap );\n\t\tif ( json.clearcoatNormalScale !== undefined ) material.clearcoatNormalScale = new Vector2().fromArray( json.clearcoatNormalScale );\n\n\t\tif ( json.iridescenceMap !== undefined ) material.iridescenceMap = getTexture( json.iridescenceMap );\n\t\tif ( json.iridescenceThicknessMap !== undefined ) material.iridescenceThicknessMap = getTexture( json.iridescenceThicknessMap );\n\n\t\tif ( json.transmissionMap !== undefined ) material.transmissionMap = getTexture( json.transmissionMap );\n\t\tif ( json.thicknessMap !== undefined ) material.thicknessMap = getTexture( json.thicknessMap );\n\n\t\tif ( json.anisotropyMap !== undefined ) material.anisotropyMap = getTexture( json.anisotropyMap );\n\n\t\tif ( json.sheenColorMap !== undefined ) material.sheenColorMap = getTexture( json.sheenColorMap );\n\t\tif ( json.sheenRoughnessMap !== undefined ) material.sheenRoughnessMap = getTexture( json.sheenRoughnessMap );\n\n\t\treturn material;\n\n\t}\n\n\tsetTextures( value ) {\n\n\t\tthis.textures = value;\n\t\treturn this;\n\n\t}\n\n\tstatic createMaterialFromType( type ) {\n\n\t\tconst materialLib = {\n\t\t\tShadowMaterial,\n\t\t\tSpriteMaterial,\n\t\t\tRawShaderMaterial,\n\t\t\tShaderMaterial,\n\t\t\tPointsMaterial,\n\t\t\tMeshPhysicalMaterial,\n\t\t\tMeshStandardMaterial,\n\t\t\tMeshPhongMaterial,\n\t\t\tMeshToonMaterial,\n\t\t\tMeshNormalMaterial,\n\t\t\tMeshLambertMaterial,\n\t\t\tMeshDepthMaterial,\n\t\t\tMeshDistanceMaterial,\n\t\t\tMeshBasicMaterial,\n\t\t\tMeshMatcapMaterial,\n\t\t\tLineDashedMaterial,\n\t\t\tLineBasicMaterial,\n\t\t\tMaterial\n\t\t};\n\n\t\treturn new materialLib[ type ]();\n\n\t}\n\n}\n\nclass LoaderUtils {\n\n\tstatic decodeText( array ) {\n\n\t\tif ( typeof TextDecoder !== 'undefined' ) {\n\n\t\t\treturn new TextDecoder().decode( array );\n\n\t\t}\n\n\t\t// Avoid the String.fromCharCode.apply(null, array) shortcut, which\n\t\t// throws a \"maximum call stack size exceeded\" error for large arrays.\n\n\t\tlet s = '';\n\n\t\tfor ( let i = 0, il = array.length; i < il; i ++ ) {\n\n\t\t\t// Implicitly assumes little-endian.\n\t\t\ts += String.fromCharCode( array[ i ] );\n\n\t\t}\n\n\t\ttry {\n\n\t\t\t// merges multi-byte utf-8 characters.\n\n\t\t\treturn decodeURIComponent( escape( s ) );\n\n\t\t} catch ( e ) { // see #16358\n\n\t\t\treturn s;\n\n\t\t}\n\n\t}\n\n\tstatic extractUrlBase( url ) {\n\n\t\tconst index = url.lastIndexOf( '/' );\n\n\t\tif ( index === - 1 ) return './';\n\n\t\treturn url.slice( 0, index + 1 );\n\n\t}\n\n\tstatic resolveURL( url, path ) {\n\n\t\t// Invalid URL\n\t\tif ( typeof url !== 'string' || url === '' ) return '';\n\n\t\t// Host Relative URL\n\t\tif ( /^https?:\\/\\//i.test( path ) && /^\\//.test( url ) ) {\n\n\t\t\tpath = path.replace( /(^https?:\\/\\/[^\\/]+).*/i, '$1' );\n\n\t\t}\n\n\t\t// Absolute URL http://,https://,//\n\t\tif ( /^(https?:)?\\/\\//i.test( url ) ) return url;\n\n\t\t// Data URI\n\t\tif ( /^data:.*,.*$/i.test( url ) ) return url;\n\n\t\t// Blob URL\n\t\tif ( /^blob:.*$/i.test( url ) ) return url;\n\n\t\t// Relative URL\n\t\treturn path + url;\n\n\t}\n\n}\n\nclass InstancedBufferGeometry extends BufferGeometry {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isInstancedBufferGeometry = true;\n\n\t\tthis.type = 'InstancedBufferGeometry';\n\t\tthis.instanceCount = Infinity;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.instanceCount = source.instanceCount;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.instanceCount = this.instanceCount;\n\n\t\tdata.isInstancedBufferGeometry = true;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass BufferGeometryLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( scope.manager );\n\t\tloader.setPath( scope.path );\n\t\tloader.setRequestHeader( scope.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst interleavedBufferMap = {};\n\t\tconst arrayBufferMap = {};\n\n\t\tfunction getInterleavedBuffer( json, uuid ) {\n\n\t\t\tif ( interleavedBufferMap[ uuid ] !== undefined ) return interleavedBufferMap[ uuid ];\n\n\t\t\tconst interleavedBuffers = json.interleavedBuffers;\n\t\t\tconst interleavedBuffer = interleavedBuffers[ uuid ];\n\n\t\t\tconst buffer = getArrayBuffer( json, interleavedBuffer.buffer );\n\n\t\t\tconst array = getTypedArray( interleavedBuffer.type, buffer );\n\t\t\tconst ib = new InterleavedBuffer( array, interleavedBuffer.stride );\n\t\t\tib.uuid = interleavedBuffer.uuid;\n\n\t\t\tinterleavedBufferMap[ uuid ] = ib;\n\n\t\t\treturn ib;\n\n\t\t}\n\n\t\tfunction getArrayBuffer( json, uuid ) {\n\n\t\t\tif ( arrayBufferMap[ uuid ] !== undefined ) return arrayBufferMap[ uuid ];\n\n\t\t\tconst arrayBuffers = json.arrayBuffers;\n\t\t\tconst arrayBuffer = arrayBuffers[ uuid ];\n\n\t\t\tconst ab = new Uint32Array( arrayBuffer ).buffer;\n\n\t\t\tarrayBufferMap[ uuid ] = ab;\n\n\t\t\treturn ab;\n\n\t\t}\n\n\t\tconst geometry = json.isInstancedBufferGeometry ? new InstancedBufferGeometry() : new BufferGeometry();\n\n\t\tconst index = json.data.index;\n\n\t\tif ( index !== undefined ) {\n\n\t\t\tconst typedArray = getTypedArray( index.type, index.array );\n\t\t\tgeometry.setIndex( new BufferAttribute( typedArray, 1 ) );\n\n\t\t}\n\n\t\tconst attributes = json.data.attributes;\n\n\t\tfor ( const key in attributes ) {\n\n\t\t\tconst attribute = attributes[ key ];\n\t\t\tlet bufferAttribute;\n\n\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\tconst interleavedBuffer = getInterleavedBuffer( json.data, attribute.data );\n\t\t\t\tbufferAttribute = new InterleavedBufferAttribute( interleavedBuffer, attribute.itemSize, attribute.offset, attribute.normalized );\n\n\t\t\t} else {\n\n\t\t\t\tconst typedArray = getTypedArray( attribute.type, attribute.array );\n\t\t\t\tconst bufferAttributeConstr = attribute.isInstancedBufferAttribute ? InstancedBufferAttribute : BufferAttribute;\n\t\t\t\tbufferAttribute = new bufferAttributeConstr( typedArray, attribute.itemSize, attribute.normalized );\n\n\t\t\t}\n\n\t\t\tif ( attribute.name !== undefined ) bufferAttribute.name = attribute.name;\n\t\t\tif ( attribute.usage !== undefined ) bufferAttribute.setUsage( attribute.usage );\n\n\t\t\tgeometry.setAttribute( key, bufferAttribute );\n\n\t\t}\n\n\t\tconst morphAttributes = json.data.morphAttributes;\n\n\t\tif ( morphAttributes ) {\n\n\t\t\tfor ( const key in morphAttributes ) {\n\n\t\t\t\tconst attributeArray = morphAttributes[ key ];\n\n\t\t\t\tconst array = [];\n\n\t\t\t\tfor ( let i = 0, il = attributeArray.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst attribute = attributeArray[ i ];\n\t\t\t\t\tlet bufferAttribute;\n\n\t\t\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\t\tconst interleavedBuffer = getInterleavedBuffer( json.data, attribute.data );\n\t\t\t\t\t\tbufferAttribute = new InterleavedBufferAttribute( interleavedBuffer, attribute.itemSize, attribute.offset, attribute.normalized );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst typedArray = getTypedArray( attribute.type, attribute.array );\n\t\t\t\t\t\tbufferAttribute = new BufferAttribute( typedArray, attribute.itemSize, attribute.normalized );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( attribute.name !== undefined ) bufferAttribute.name = attribute.name;\n\t\t\t\t\tarray.push( bufferAttribute );\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.morphAttributes[ key ] = array;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst morphTargetsRelative = json.data.morphTargetsRelative;\n\n\t\tif ( morphTargetsRelative ) {\n\n\t\t\tgeometry.morphTargetsRelative = true;\n\n\t\t}\n\n\t\tconst groups = json.data.groups || json.data.drawcalls || json.data.offsets;\n\n\t\tif ( groups !== undefined ) {\n\n\t\t\tfor ( let i = 0, n = groups.length; i !== n; ++ i ) {\n\n\t\t\t\tconst group = groups[ i ];\n\n\t\t\t\tgeometry.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst boundingSphere = json.data.boundingSphere;\n\n\t\tif ( boundingSphere !== undefined ) {\n\n\t\t\tconst center = new Vector3();\n\n\t\t\tif ( boundingSphere.center !== undefined ) {\n\n\t\t\t\tcenter.fromArray( boundingSphere.center );\n\n\t\t\t}\n\n\t\t\tgeometry.boundingSphere = new Sphere( center, boundingSphere.radius );\n\n\t\t}\n\n\t\tif ( json.name ) geometry.name = json.name;\n\t\tif ( json.userData ) geometry.userData = json.userData;\n\n\t\treturn geometry;\n\n\t}\n\n}\n\nclass ObjectLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst path = ( this.path === '' ) ? LoaderUtils.extractUrlBase( url ) : this.path;\n\t\tthis.resourcePath = this.resourcePath || path;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\tlet json = null;\n\n\t\t\ttry {\n\n\t\t\t\tjson = JSON.parse( text );\n\n\t\t\t} catch ( error ) {\n\n\t\t\t\tif ( onError !== undefined ) onError( error );\n\n\t\t\t\tconsole.error( 'THREE:ObjectLoader: Can\\'t parse ' + url + '.', error.message );\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst metadata = json.metadata;\n\n\t\t\tif ( metadata === undefined || metadata.type === undefined || metadata.type.toLowerCase() === 'geometry' ) {\n\n\t\t\t\tif ( onError !== undefined ) onError( new Error( 'THREE.ObjectLoader: Can\\'t load ' + url ) );\n\n\t\t\t\tconsole.error( 'THREE.ObjectLoader: Can\\'t load ' + url );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tscope.parse( json, onLoad );\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tasync loadAsync( url, onProgress ) {\n\n\t\tconst scope = this;\n\n\t\tconst path = ( this.path === '' ) ? LoaderUtils.extractUrlBase( url ) : this.path;\n\t\tthis.resourcePath = this.resourcePath || path;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\n\t\tconst text = await loader.loadAsync( url, onProgress );\n\n\t\tconst json = JSON.parse( text );\n\n\t\tconst metadata = json.metadata;\n\n\t\tif ( metadata === undefined || metadata.type === undefined || metadata.type.toLowerCase() === 'geometry' ) {\n\n\t\t\tthrow new Error( 'THREE.ObjectLoader: Can\\'t load ' + url );\n\n\t\t}\n\n\t\treturn await scope.parseAsync( json );\n\n\t}\n\n\tparse( json, onLoad ) {\n\n\t\tconst animations = this.parseAnimations( json.animations );\n\t\tconst shapes = this.parseShapes( json.shapes );\n\t\tconst geometries = this.parseGeometries( json.geometries, shapes );\n\n\t\tconst images = this.parseImages( json.images, function () {\n\n\t\t\tif ( onLoad !== undefined ) onLoad( object );\n\n\t\t} );\n\n\t\tconst textures = this.parseTextures( json.textures, images );\n\t\tconst materials = this.parseMaterials( json.materials, textures );\n\n\t\tconst object = this.parseObject( json.object, geometries, materials, textures, animations );\n\t\tconst skeletons = this.parseSkeletons( json.skeletons, object );\n\n\t\tthis.bindSkeletons( object, skeletons );\n\n\t\t//\n\n\t\tif ( onLoad !== undefined ) {\n\n\t\t\tlet hasImages = false;\n\n\t\t\tfor ( const uuid in images ) {\n\n\t\t\t\tif ( images[ uuid ].data instanceof HTMLImageElement ) {\n\n\t\t\t\t\thasImages = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( hasImages === false ) onLoad( object );\n\n\t\t}\n\n\t\treturn object;\n\n\t}\n\n\tasync parseAsync( json ) {\n\n\t\tconst animations = this.parseAnimations( json.animations );\n\t\tconst shapes = this.parseShapes( json.shapes );\n\t\tconst geometries = this.parseGeometries( json.geometries, shapes );\n\n\t\tconst images = await this.parseImagesAsync( json.images );\n\n\t\tconst textures = this.parseTextures( json.textures, images );\n\t\tconst materials = this.parseMaterials( json.materials, textures );\n\n\t\tconst object = this.parseObject( json.object, geometries, materials, textures, animations );\n\t\tconst skeletons = this.parseSkeletons( json.skeletons, object );\n\n\t\tthis.bindSkeletons( object, skeletons );\n\n\t\treturn object;\n\n\t}\n\n\tparseShapes( json ) {\n\n\t\tconst shapes = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst shape = new Shape().fromJSON( json[ i ] );\n\n\t\t\t\tshapes[ shape.uuid ] = shape;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn shapes;\n\n\t}\n\n\tparseSkeletons( json, object ) {\n\n\t\tconst skeletons = {};\n\t\tconst bones = {};\n\n\t\t// generate bone lookup table\n\n\t\tobject.traverse( function ( child ) {\n\n\t\t\tif ( child.isBone ) bones[ child.uuid ] = child;\n\n\t\t} );\n\n\t\t// create skeletons\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst skeleton = new Skeleton().fromJSON( json[ i ], bones );\n\n\t\t\t\tskeletons[ skeleton.uuid ] = skeleton;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn skeletons;\n\n\t}\n\n\tparseGeometries( json, shapes ) {\n\n\t\tconst geometries = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tconst bufferGeometryLoader = new BufferGeometryLoader();\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tlet geometry;\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tswitch ( data.type ) {\n\n\t\t\t\t\tcase 'BufferGeometry':\n\t\t\t\t\tcase 'InstancedBufferGeometry':\n\n\t\t\t\t\t\tgeometry = bufferGeometryLoader.parse( data );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tdefault:\n\n\t\t\t\t\t\tif ( data.type in Geometries ) {\n\n\t\t\t\t\t\t\tgeometry = Geometries[ data.type ].fromJSON( data, shapes );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tconsole.warn( `THREE.ObjectLoader: Unsupported geometry type \"${ data.type }\"` );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.uuid = data.uuid;\n\n\t\t\t\tif ( data.name !== undefined ) geometry.name = data.name;\n\t\t\t\tif ( data.userData !== undefined ) geometry.userData = data.userData;\n\n\t\t\t\tgeometries[ data.uuid ] = geometry;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn geometries;\n\n\t}\n\n\tparseMaterials( json, textures ) {\n\n\t\tconst cache = {}; // MultiMaterial\n\t\tconst materials = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tconst loader = new MaterialLoader();\n\t\t\tloader.setTextures( textures );\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tif ( cache[ data.uuid ] === undefined ) {\n\n\t\t\t\t\tcache[ data.uuid ] = loader.parse( data );\n\n\t\t\t\t}\n\n\t\t\t\tmaterials[ data.uuid ] = cache[ data.uuid ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn materials;\n\n\t}\n\n\tparseAnimations( json ) {\n\n\t\tconst animations = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0; i < json.length; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tconst clip = AnimationClip.parse( data );\n\n\t\t\t\tanimations[ clip.uuid ] = clip;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn animations;\n\n\t}\n\n\tparseImages( json, onLoad ) {\n\n\t\tconst scope = this;\n\t\tconst images = {};\n\n\t\tlet loader;\n\n\t\tfunction loadImage( url ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\treturn loader.load( url, function () {\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, undefined, function () {\n\n\t\t\t\tscope.manager.itemError( url );\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t} );\n\n\t\t}\n\n\t\tfunction deserializeImage( image ) {\n\n\t\t\tif ( typeof image === 'string' ) {\n\n\t\t\t\tconst url = image;\n\n\t\t\t\tconst path = /^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test( url ) ? url : scope.resourcePath + url;\n\n\t\t\t\treturn loadImage( path );\n\n\t\t\t} else {\n\n\t\t\t\tif ( image.data ) {\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: getTypedArray( image.type, image.data ),\n\t\t\t\t\t\twidth: image.width,\n\t\t\t\t\t\theight: image.height\n\t\t\t\t\t};\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json !== undefined && json.length > 0 ) {\n\n\t\t\tconst manager = new LoadingManager( onLoad );\n\n\t\t\tloader = new ImageLoader( manager );\n\t\t\tloader.setCrossOrigin( this.crossOrigin );\n\n\t\t\tfor ( let i = 0, il = json.length; i < il; i ++ ) {\n\n\t\t\t\tconst image = json[ i ];\n\t\t\t\tconst url = image.url;\n\n\t\t\t\tif ( Array.isArray( url ) ) {\n\n\t\t\t\t\t// load array of images e.g CubeTexture\n\n\t\t\t\t\tconst imageArray = [];\n\n\t\t\t\t\tfor ( let j = 0, jl = url.length; j < jl; j ++ ) {\n\n\t\t\t\t\t\tconst currentUrl = url[ j ];\n\n\t\t\t\t\t\tconst deserializedImage = deserializeImage( currentUrl );\n\n\t\t\t\t\t\tif ( deserializedImage !== null ) {\n\n\t\t\t\t\t\t\tif ( deserializedImage instanceof HTMLImageElement ) {\n\n\t\t\t\t\t\t\t\timageArray.push( deserializedImage );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t// special case: handle array of data textures for cube textures\n\n\t\t\t\t\t\t\t\timageArray.push( new DataTexture( deserializedImage.data, deserializedImage.width, deserializedImage.height ) );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\timages[ image.uuid ] = new Source( imageArray );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// load single image\n\n\t\t\t\t\tconst deserializedImage = deserializeImage( image.url );\n\t\t\t\t\timages[ image.uuid ] = new Source( deserializedImage );\n\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn images;\n\n\t}\n\n\tasync parseImagesAsync( json ) {\n\n\t\tconst scope = this;\n\t\tconst images = {};\n\n\t\tlet loader;\n\n\t\tasync function deserializeImage( image ) {\n\n\t\t\tif ( typeof image === 'string' ) {\n\n\t\t\t\tconst url = image;\n\n\t\t\t\tconst path = /^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test( url ) ? url : scope.resourcePath + url;\n\n\t\t\t\treturn await loader.loadAsync( path );\n\n\t\t\t} else {\n\n\t\t\t\tif ( image.data ) {\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: getTypedArray( image.type, image.data ),\n\t\t\t\t\t\twidth: image.width,\n\t\t\t\t\t\theight: image.height\n\t\t\t\t\t};\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json !== undefined && json.length > 0 ) {\n\n\t\t\tloader = new ImageLoader( this.manager );\n\t\t\tloader.setCrossOrigin( this.crossOrigin );\n\n\t\t\tfor ( let i = 0, il = json.length; i < il; i ++ ) {\n\n\t\t\t\tconst image = json[ i ];\n\t\t\t\tconst url = image.url;\n\n\t\t\t\tif ( Array.isArray( url ) ) {\n\n\t\t\t\t\t// load array of images e.g CubeTexture\n\n\t\t\t\t\tconst imageArray = [];\n\n\t\t\t\t\tfor ( let j = 0, jl = url.length; j < jl; j ++ ) {\n\n\t\t\t\t\t\tconst currentUrl = url[ j ];\n\n\t\t\t\t\t\tconst deserializedImage = await deserializeImage( currentUrl );\n\n\t\t\t\t\t\tif ( deserializedImage !== null ) {\n\n\t\t\t\t\t\t\tif ( deserializedImage instanceof HTMLImageElement ) {\n\n\t\t\t\t\t\t\t\timageArray.push( deserializedImage );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t// special case: handle array of data textures for cube textures\n\n\t\t\t\t\t\t\t\timageArray.push( new DataTexture( deserializedImage.data, deserializedImage.width, deserializedImage.height ) );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\timages[ image.uuid ] = new Source( imageArray );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// load single image\n\n\t\t\t\t\tconst deserializedImage = await deserializeImage( image.url );\n\t\t\t\t\timages[ image.uuid ] = new Source( deserializedImage );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn images;\n\n\t}\n\n\tparseTextures( json, images ) {\n\n\t\tfunction parseConstant( value, type ) {\n\n\t\t\tif ( typeof value === 'number' ) return value;\n\n\t\t\tconsole.warn( 'THREE.ObjectLoader.parseTexture: Constant should be in numeric form.', value );\n\n\t\t\treturn type[ value ];\n\n\t\t}\n\n\t\tconst textures = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tif ( data.image === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: No \"image\" specified for', data.uuid );\n\n\t\t\t\t}\n\n\t\t\t\tif ( images[ data.image ] === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined image', data.image );\n\n\t\t\t\t}\n\n\t\t\t\tconst source = images[ data.image ];\n\t\t\t\tconst image = source.data;\n\n\t\t\t\tlet texture;\n\n\t\t\t\tif ( Array.isArray( image ) ) {\n\n\t\t\t\t\ttexture = new CubeTexture();\n\n\t\t\t\t\tif ( image.length === 6 ) texture.needsUpdate = true;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( image && image.data ) {\n\n\t\t\t\t\t\ttexture = new DataTexture();\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttexture = new Texture();\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( image ) texture.needsUpdate = true; // textures can have undefined image data\n\n\t\t\t\t}\n\n\t\t\t\ttexture.source = source;\n\n\t\t\t\ttexture.uuid = data.uuid;\n\n\t\t\t\tif ( data.name !== undefined ) texture.name = data.name;\n\n\t\t\t\tif ( data.mapping !== undefined ) texture.mapping = parseConstant( data.mapping, TEXTURE_MAPPING );\n\t\t\t\tif ( data.channel !== undefined ) texture.channel = data.channel;\n\n\t\t\t\tif ( data.offset !== undefined ) texture.offset.fromArray( data.offset );\n\t\t\t\tif ( data.repeat !== undefined ) texture.repeat.fromArray( data.repeat );\n\t\t\t\tif ( data.center !== undefined ) texture.center.fromArray( data.center );\n\t\t\t\tif ( data.rotation !== undefined ) texture.rotation = data.rotation;\n\n\t\t\t\tif ( data.wrap !== undefined ) {\n\n\t\t\t\t\ttexture.wrapS = parseConstant( data.wrap[ 0 ], TEXTURE_WRAPPING );\n\t\t\t\t\ttexture.wrapT = parseConstant( data.wrap[ 1 ], TEXTURE_WRAPPING );\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.format !== undefined ) texture.format = data.format;\n\t\t\t\tif ( data.internalFormat !== undefined ) texture.internalFormat = data.internalFormat;\n\t\t\t\tif ( data.type !== undefined ) texture.type = data.type;\n\t\t\t\tif ( data.colorSpace !== undefined ) texture.colorSpace = data.colorSpace;\n\t\t\t\tif ( data.encoding !== undefined ) texture.encoding = data.encoding; // @deprecated, r152\n\n\t\t\t\tif ( data.minFilter !== undefined ) texture.minFilter = parseConstant( data.minFilter, TEXTURE_FILTER );\n\t\t\t\tif ( data.magFilter !== undefined ) texture.magFilter = parseConstant( data.magFilter, TEXTURE_FILTER );\n\t\t\t\tif ( data.anisotropy !== undefined ) texture.anisotropy = data.anisotropy;\n\n\t\t\t\tif ( data.flipY !== undefined ) texture.flipY = data.flipY;\n\n\t\t\t\tif ( data.generateMipmaps !== undefined ) texture.generateMipmaps = data.generateMipmaps;\n\t\t\t\tif ( data.premultiplyAlpha !== undefined ) texture.premultiplyAlpha = data.premultiplyAlpha;\n\t\t\t\tif ( data.unpackAlignment !== undefined ) texture.unpackAlignment = data.unpackAlignment;\n\t\t\t\tif ( data.compareFunction !== undefined ) texture.compareFunction = data.compareFunction;\n\n\t\t\t\tif ( data.userData !== undefined ) texture.userData = data.userData;\n\n\t\t\t\ttextures[ data.uuid ] = texture;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn textures;\n\n\t}\n\n\tparseObject( data, geometries, materials, textures, animations ) {\n\n\t\tlet object;\n\n\t\tfunction getGeometry( name ) {\n\n\t\t\tif ( geometries[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined geometry', name );\n\n\t\t\t}\n\n\t\t\treturn geometries[ name ];\n\n\t\t}\n\n\t\tfunction getMaterial( name ) {\n\n\t\t\tif ( name === undefined ) return undefined;\n\n\t\t\tif ( Array.isArray( name ) ) {\n\n\t\t\t\tconst array = [];\n\n\t\t\t\tfor ( let i = 0, l = name.length; i < l; i ++ ) {\n\n\t\t\t\t\tconst uuid = name[ i ];\n\n\t\t\t\t\tif ( materials[ uuid ] === undefined ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined material', uuid );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tarray.push( materials[ uuid ] );\n\n\t\t\t\t}\n\n\t\t\t\treturn array;\n\n\t\t\t}\n\n\t\t\tif ( materials[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined material', name );\n\n\t\t\t}\n\n\t\t\treturn materials[ name ];\n\n\t\t}\n\n\t\tfunction getTexture( uuid ) {\n\n\t\t\tif ( textures[ uuid ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined texture', uuid );\n\n\t\t\t}\n\n\t\t\treturn textures[ uuid ];\n\n\t\t}\n\n\t\tlet geometry, material;\n\n\t\tswitch ( data.type ) {\n\n\t\t\tcase 'Scene':\n\n\t\t\t\tobject = new Scene();\n\n\t\t\t\tif ( data.background !== undefined ) {\n\n\t\t\t\t\tif ( Number.isInteger( data.background ) ) {\n\n\t\t\t\t\t\tobject.background = new Color( data.background );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tobject.background = getTexture( data.background );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.environment !== undefined ) {\n\n\t\t\t\t\tobject.environment = getTexture( data.environment );\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.fog !== undefined ) {\n\n\t\t\t\t\tif ( data.fog.type === 'Fog' ) {\n\n\t\t\t\t\t\tobject.fog = new Fog( data.fog.color, data.fog.near, data.fog.far );\n\n\t\t\t\t\t} else if ( data.fog.type === 'FogExp2' ) {\n\n\t\t\t\t\t\tobject.fog = new FogExp2( data.fog.color, data.fog.density );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( data.fog.name !== '' ) {\n\n\t\t\t\t\t\tobject.fog.name = data.fog.name;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.backgroundBlurriness !== undefined ) object.backgroundBlurriness = data.backgroundBlurriness;\n\t\t\t\tif ( data.backgroundIntensity !== undefined ) object.backgroundIntensity = data.backgroundIntensity;\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PerspectiveCamera':\n\n\t\t\t\tobject = new PerspectiveCamera( data.fov, data.aspect, data.near, data.far );\n\n\t\t\t\tif ( data.focus !== undefined ) object.focus = data.focus;\n\t\t\t\tif ( data.zoom !== undefined ) object.zoom = data.zoom;\n\t\t\t\tif ( data.filmGauge !== undefined ) object.filmGauge = data.filmGauge;\n\t\t\t\tif ( data.filmOffset !== undefined ) object.filmOffset = data.filmOffset;\n\t\t\t\tif ( data.view !== undefined ) object.view = Object.assign( {}, data.view );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'OrthographicCamera':\n\n\t\t\t\tobject = new OrthographicCamera( data.left, data.right, data.top, data.bottom, data.near, data.far );\n\n\t\t\t\tif ( data.zoom !== undefined ) object.zoom = data.zoom;\n\t\t\t\tif ( data.view !== undefined ) object.view = Object.assign( {}, data.view );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'AmbientLight':\n\n\t\t\t\tobject = new AmbientLight( data.color, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'DirectionalLight':\n\n\t\t\t\tobject = new DirectionalLight( data.color, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PointLight':\n\n\t\t\t\tobject = new PointLight( data.color, data.intensity, data.distance, data.decay );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'RectAreaLight':\n\n\t\t\t\tobject = new RectAreaLight( data.color, data.intensity, data.width, data.height );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'SpotLight':\n\n\t\t\t\tobject = new SpotLight( data.color, data.intensity, data.distance, data.angle, data.penumbra, data.decay );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'HemisphereLight':\n\n\t\t\t\tobject = new HemisphereLight( data.color, data.groundColor, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LightProbe':\n\n\t\t\t\tobject = new LightProbe().fromJSON( data );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'SkinnedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t \tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new SkinnedMesh( geometry, material );\n\n\t\t\t\tif ( data.bindMode !== undefined ) object.bindMode = data.bindMode;\n\t\t\t\tif ( data.bindMatrix !== undefined ) object.bindMatrix.fromArray( data.bindMatrix );\n\t\t\t\tif ( data.skeleton !== undefined ) object.skeleton = data.skeleton;\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Mesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new Mesh( geometry, material );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'InstancedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\t\t\t\tconst count = data.count;\n\t\t\t\tconst instanceMatrix = data.instanceMatrix;\n\t\t\t\tconst instanceColor = data.instanceColor;\n\n\t\t\t\tobject = new InstancedMesh( geometry, material, count );\n\t\t\t\tobject.instanceMatrix = new InstancedBufferAttribute( new Float32Array( instanceMatrix.array ), 16 );\n\t\t\t\tif ( instanceColor !== undefined ) object.instanceColor = new InstancedBufferAttribute( new Float32Array( instanceColor.array ), instanceColor.itemSize );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'BatchedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new BatchedMesh( data.maxGeometryCount, data.maxVertexCount, data.maxIndexCount, material );\n\t\t\t\tobject.geometry = geometry;\n\t\t\t\tobject.perObjectFrustumCulled = data.perObjectFrustumCulled;\n\t\t\t\tobject.sortObjects = data.sortObjects;\n\n\t\t\t\tobject._drawRanges = data.drawRanges;\n\t\t\t\tobject._reservedRanges = data.reservedRanges;\n\n\t\t\t\tobject._visibility = data.visibility;\n\t\t\t\tobject._active = data.active;\n\t\t\t\tobject._bounds = data.bounds.map( bound => {\n\n\t\t\t\t\tconst box = new Box3();\n\t\t\t\t\tbox.min.fromArray( bound.boxMin );\n\t\t\t\t\tbox.max.fromArray( bound.boxMax );\n\n\t\t\t\t\tconst sphere = new Sphere();\n\t\t\t\t\tsphere.radius = bound.sphereRadius;\n\t\t\t\t\tsphere.center.fromArray( bound.sphereCenter );\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\t\t\t\tbox: box,\n\n\t\t\t\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\t\t\t\tsphere: sphere\n\t\t\t\t\t};\n\n\t\t\t\t} );\n\n\t\t\t\tobject._maxGeometryCount = data.maxGeometryCount;\n\t\t\t\tobject._maxVertexCount = data.maxVertexCount;\n\t\t\t\tobject._maxIndexCount = data.maxIndexCount;\n\n\t\t\t\tobject._geometryInitialized = data.geometryInitialized;\n\t\t\t\tobject._geometryCount = data.geometryCount;\n\n\t\t\t\tobject._matricesTexture = getTexture( data.matricesTexture.uuid );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LOD':\n\n\t\t\t\tobject = new LOD();\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Line':\n\n\t\t\t\tobject = new Line( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LineLoop':\n\n\t\t\t\tobject = new LineLoop( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LineSegments':\n\n\t\t\t\tobject = new LineSegments( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PointCloud':\n\t\t\tcase 'Points':\n\n\t\t\t\tobject = new Points( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Sprite':\n\n\t\t\t\tobject = new Sprite( getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Group':\n\n\t\t\t\tobject = new Group();\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Bone':\n\n\t\t\t\tobject = new Bone();\n\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\n\t\t\t\tobject = new Object3D();\n\n\t\t}\n\n\t\tobject.uuid = data.uuid;\n\n\t\tif ( data.name !== undefined ) object.name = data.name;\n\n\t\tif ( data.matrix !== undefined ) {\n\n\t\t\tobject.matrix.fromArray( data.matrix );\n\n\t\t\tif ( data.matrixAutoUpdate !== undefined ) object.matrixAutoUpdate = data.matrixAutoUpdate;\n\t\t\tif ( object.matrixAutoUpdate ) object.matrix.decompose( object.position, object.quaternion, object.scale );\n\n\t\t} else {\n\n\t\t\tif ( data.position !== undefined ) object.position.fromArray( data.position );\n\t\t\tif ( data.rotation !== undefined ) object.rotation.fromArray( data.rotation );\n\t\t\tif ( data.quaternion !== undefined ) object.quaternion.fromArray( data.quaternion );\n\t\t\tif ( data.scale !== undefined ) object.scale.fromArray( data.scale );\n\n\t\t}\n\n\t\tif ( data.up !== undefined ) object.up.fromArray( data.up );\n\n\t\tif ( data.castShadow !== undefined ) object.castShadow = data.castShadow;\n\t\tif ( data.receiveShadow !== undefined ) object.receiveShadow = data.receiveShadow;\n\n\t\tif ( data.shadow ) {\n\n\t\t\tif ( data.shadow.bias !== undefined ) object.shadow.bias = data.shadow.bias;\n\t\t\tif ( data.shadow.normalBias !== undefined ) object.shadow.normalBias = data.shadow.normalBias;\n\t\t\tif ( data.shadow.radius !== undefined ) object.shadow.radius = data.shadow.radius;\n\t\t\tif ( data.shadow.mapSize !== undefined ) object.shadow.mapSize.fromArray( data.shadow.mapSize );\n\t\t\tif ( data.shadow.camera !== undefined ) object.shadow.camera = this.parseObject( data.shadow.camera );\n\n\t\t}\n\n\t\tif ( data.visible !== undefined ) object.visible = data.visible;\n\t\tif ( data.frustumCulled !== undefined ) object.frustumCulled = data.frustumCulled;\n\t\tif ( data.renderOrder !== undefined ) object.renderOrder = data.renderOrder;\n\t\tif ( data.userData !== undefined ) object.userData = data.userData;\n\t\tif ( data.layers !== undefined ) object.layers.mask = data.layers;\n\n\t\tif ( data.children !== undefined ) {\n\n\t\t\tconst children = data.children;\n\n\t\t\tfor ( let i = 0; i < children.length; i ++ ) {\n\n\t\t\t\tobject.add( this.parseObject( children[ i ], geometries, materials, textures, animations ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( data.animations !== undefined ) {\n\n\t\t\tconst objectAnimations = data.animations;\n\n\t\t\tfor ( let i = 0; i < objectAnimations.length; i ++ ) {\n\n\t\t\t\tconst uuid = objectAnimations[ i ];\n\n\t\t\t\tobject.animations.push( animations[ uuid ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( data.type === 'LOD' ) {\n\n\t\t\tif ( data.autoUpdate !== undefined ) object.autoUpdate = data.autoUpdate;\n\n\t\t\tconst levels = data.levels;\n\n\t\t\tfor ( let l = 0; l < levels.length; l ++ ) {\n\n\t\t\t\tconst level = levels[ l ];\n\t\t\t\tconst child = object.getObjectByProperty( 'uuid', level.object );\n\n\t\t\t\tif ( child !== undefined ) {\n\n\t\t\t\t\tobject.addLevel( child, level.distance, level.hysteresis );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn object;\n\n\t}\n\n\tbindSkeletons( object, skeletons ) {\n\n\t\tif ( Object.keys( skeletons ).length === 0 ) return;\n\n\t\tobject.traverse( function ( child ) {\n\n\t\t\tif ( child.isSkinnedMesh === true && child.skeleton !== undefined ) {\n\n\t\t\t\tconst skeleton = skeletons[ child.skeleton ];\n\n\t\t\t\tif ( skeleton === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: No skeleton found with UUID:', child.skeleton );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tchild.bind( skeleton, child.bindMatrix );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} );\n\n\t}\n\n}\n\nconst TEXTURE_MAPPING = {\n\tUVMapping: UVMapping,\n\tCubeReflectionMapping: CubeReflectionMapping,\n\tCubeRefractionMapping: CubeRefractionMapping,\n\tEquirectangularReflectionMapping: EquirectangularReflectionMapping,\n\tEquirectangularRefractionMapping: EquirectangularRefractionMapping,\n\tCubeUVReflectionMapping: CubeUVReflectionMapping\n};\n\nconst TEXTURE_WRAPPING = {\n\tRepeatWrapping: RepeatWrapping,\n\tClampToEdgeWrapping: ClampToEdgeWrapping,\n\tMirroredRepeatWrapping: MirroredRepeatWrapping\n};\n\nconst TEXTURE_FILTER = {\n\tNearestFilter: NearestFilter,\n\tNearestMipmapNearestFilter: NearestMipmapNearestFilter,\n\tNearestMipmapLinearFilter: NearestMipmapLinearFilter,\n\tLinearFilter: LinearFilter,\n\tLinearMipmapNearestFilter: LinearMipmapNearestFilter,\n\tLinearMipmapLinearFilter: LinearMipmapLinearFilter\n};\n\nclass ImageBitmapLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t\tthis.isImageBitmapLoader = true;\n\n\t\tif ( typeof createImageBitmap === 'undefined' ) {\n\n\t\t\tconsole.warn( 'THREE.ImageBitmapLoader: createImageBitmap() not supported.' );\n\n\t\t}\n\n\t\tif ( typeof fetch === 'undefined' ) {\n\n\t\t\tconsole.warn( 'THREE.ImageBitmapLoader: fetch() not supported.' );\n\n\t\t}\n\n\t\tthis.options = { premultiplyAlpha: 'none' };\n\n\t}\n\n\tsetOptions( options ) {\n\n\t\tthis.options = options;\n\n\t\treturn this;\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( url === undefined ) url = '';\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst scope = this;\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\t// If cached is a promise, wait for it to resolve\n\t\t\tif ( cached.then ) {\n\n\t\t\t\tcached.then( imageBitmap => {\n\n\t\t\t\t\tif ( onLoad ) onLoad( imageBitmap );\n\n\t\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t\t} ).catch( e => {\n\n\t\t\t\t\tif ( onError ) onError( e );\n\n\t\t\t\t} );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t// If cached is not a promise (i.e., it's already an imageBitmap)\n\t\t\tsetTimeout( function () {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\tconst fetchOptions = {};\n\t\tfetchOptions.credentials = ( this.crossOrigin === 'anonymous' ) ? 'same-origin' : 'include';\n\t\tfetchOptions.headers = this.requestHeader;\n\n\t\tconst promise = fetch( url, fetchOptions ).then( function ( res ) {\n\n\t\t\treturn res.blob();\n\n\t\t} ).then( function ( blob ) {\n\n\t\t\treturn createImageBitmap( blob, Object.assign( scope.options, { colorSpaceConversion: 'none' } ) );\n\n\t\t} ).then( function ( imageBitmap ) {\n\n\t\t\tCache.add( url, imageBitmap );\n\n\t\t\tif ( onLoad ) onLoad( imageBitmap );\n\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t\treturn imageBitmap;\n\n\t\t} ).catch( function ( e ) {\n\n\t\t\tif ( onError ) onError( e );\n\n\t\t\tCache.remove( url );\n\n\t\t\tscope.manager.itemError( url );\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t} );\n\n\t\tCache.add( url, promise );\n\t\tscope.manager.itemStart( url );\n\n\t}\n\n}\n\nlet _context;\n\nclass AudioContext {\n\n\tstatic getContext() {\n\n\t\tif ( _context === undefined ) {\n\n\t\t\t_context = new ( window.AudioContext || window.webkitAudioContext )();\n\n\t\t}\n\n\t\treturn _context;\n\n\t}\n\n\tstatic setContext( value ) {\n\n\t\t_context = value;\n\n\t}\n\n}\n\nclass AudioLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( buffer ) {\n\n\t\t\ttry {\n\n\t\t\t\t// Create a copy of the buffer. The `decodeAudioData` method\n\t\t\t\t// detaches the buffer when complete, preventing reuse.\n\t\t\t\tconst bufferCopy = buffer.slice( 0 );\n\n\t\t\t\tconst context = AudioContext.getContext();\n\t\t\t\tcontext.decodeAudioData( bufferCopy, function ( audioBuffer ) {\n\n\t\t\t\t\tonLoad( audioBuffer );\n\n\t\t\t\t} ).catch( handleError );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\thandleError( e );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t\tfunction handleError( e ) {\n\n\t\t\tif ( onError ) {\n\n\t\t\t\tonError( e );\n\n\t\t\t} else {\n\n\t\t\t\tconsole.error( e );\n\n\t\t\t}\n\n\t\t\tscope.manager.itemError( url );\n\n\t\t}\n\n\t}\n\n}\n\nconst _eyeRight = /*@__PURE__*/ new Matrix4();\nconst _eyeLeft = /*@__PURE__*/ new Matrix4();\nconst _projectionMatrix = /*@__PURE__*/ new Matrix4();\n\nclass StereoCamera {\n\n\tconstructor() {\n\n\t\tthis.type = 'StereoCamera';\n\n\t\tthis.aspect = 1;\n\n\t\tthis.eyeSep = 0.064;\n\n\t\tthis.cameraL = new PerspectiveCamera();\n\t\tthis.cameraL.layers.enable( 1 );\n\t\tthis.cameraL.matrixAutoUpdate = false;\n\n\t\tthis.cameraR = new PerspectiveCamera();\n\t\tthis.cameraR.layers.enable( 2 );\n\t\tthis.cameraR.matrixAutoUpdate = false;\n\n\t\tthis._cache = {\n\t\t\tfocus: null,\n\t\t\tfov: null,\n\t\t\taspect: null,\n\t\t\tnear: null,\n\t\t\tfar: null,\n\t\t\tzoom: null,\n\t\t\teyeSep: null\n\t\t};\n\n\t}\n\n\tupdate( camera ) {\n\n\t\tconst cache = this._cache;\n\n\t\tconst needsUpdate = cache.focus !== camera.focus || cache.fov !== camera.fov ||\n\t\t\tcache.aspect !== camera.aspect * this.aspect || cache.near !== camera.near ||\n\t\t\tcache.far !== camera.far || cache.zoom !== camera.zoom || cache.eyeSep !== this.eyeSep;\n\n\t\tif ( needsUpdate ) {\n\n\t\t\tcache.focus = camera.focus;\n\t\t\tcache.fov = camera.fov;\n\t\t\tcache.aspect = camera.aspect * this.aspect;\n\t\t\tcache.near = camera.near;\n\t\t\tcache.far = camera.far;\n\t\t\tcache.zoom = camera.zoom;\n\t\t\tcache.eyeSep = this.eyeSep;\n\n\t\t\t// Off-axis stereoscopic effect based on\n\t\t\t// http://paulbourke.net/stereographics/stereorender/\n\n\t\t\t_projectionMatrix.copy( camera.projectionMatrix );\n\t\t\tconst eyeSepHalf = cache.eyeSep / 2;\n\t\t\tconst eyeSepOnProjection = eyeSepHalf * cache.near / cache.focus;\n\t\t\tconst ymax = ( cache.near * Math.tan( DEG2RAD * cache.fov * 0.5 ) ) / cache.zoom;\n\t\t\tlet xmin, xmax;\n\n\t\t\t// translate xOffset\n\n\t\t\t_eyeLeft.elements[ 12 ] = - eyeSepHalf;\n\t\t\t_eyeRight.elements[ 12 ] = eyeSepHalf;\n\n\t\t\t// for left eye\n\n\t\t\txmin = - ymax * cache.aspect + eyeSepOnProjection;\n\t\t\txmax = ymax * cache.aspect + eyeSepOnProjection;\n\n\t\t\t_projectionMatrix.elements[ 0 ] = 2 * cache.near / ( xmax - xmin );\n\t\t\t_projectionMatrix.elements[ 8 ] = ( xmax + xmin ) / ( xmax - xmin );\n\n\t\t\tthis.cameraL.projectionMatrix.copy( _projectionMatrix );\n\n\t\t\t// for right eye\n\n\t\t\txmin = - ymax * cache.aspect - eyeSepOnProjection;\n\t\t\txmax = ymax * cache.aspect - eyeSepOnProjection;\n\n\t\t\t_projectionMatrix.elements[ 0 ] = 2 * cache.near / ( xmax - xmin );\n\t\t\t_projectionMatrix.elements[ 8 ] = ( xmax + xmin ) / ( xmax - xmin );\n\n\t\t\tthis.cameraR.projectionMatrix.copy( _projectionMatrix );\n\n\t\t}\n\n\t\tthis.cameraL.matrixWorld.copy( camera.matrixWorld ).multiply( _eyeLeft );\n\t\tthis.cameraR.matrixWorld.copy( camera.matrixWorld ).multiply( _eyeRight );\n\n\t}\n\n}\n\nclass Clock {\n\n\tconstructor( autoStart = true ) {\n\n\t\tthis.autoStart = autoStart;\n\n\t\tthis.startTime = 0;\n\t\tthis.oldTime = 0;\n\t\tthis.elapsedTime = 0;\n\n\t\tthis.running = false;\n\n\t}\n\n\tstart() {\n\n\t\tthis.startTime = now();\n\n\t\tthis.oldTime = this.startTime;\n\t\tthis.elapsedTime = 0;\n\t\tthis.running = true;\n\n\t}\n\n\tstop() {\n\n\t\tthis.getElapsedTime();\n\t\tthis.running = false;\n\t\tthis.autoStart = false;\n\n\t}\n\n\tgetElapsedTime() {\n\n\t\tthis.getDelta();\n\t\treturn this.elapsedTime;\n\n\t}\n\n\tgetDelta() {\n\n\t\tlet diff = 0;\n\n\t\tif ( this.autoStart && ! this.running ) {\n\n\t\t\tthis.start();\n\t\t\treturn 0;\n\n\t\t}\n\n\t\tif ( this.running ) {\n\n\t\t\tconst newTime = now();\n\n\t\t\tdiff = ( newTime - this.oldTime ) / 1000;\n\t\t\tthis.oldTime = newTime;\n\n\t\t\tthis.elapsedTime += diff;\n\n\t\t}\n\n\t\treturn diff;\n\n\t}\n\n}\n\nfunction now() {\n\n\treturn ( typeof performance === 'undefined' ? Date : performance ).now(); // see #10732\n\n}\n\nconst _position$1 = /*@__PURE__*/ new Vector3();\nconst _quaternion$1 = /*@__PURE__*/ new Quaternion();\nconst _scale$1 = /*@__PURE__*/ new Vector3();\nconst _orientation$1 = /*@__PURE__*/ new Vector3();\n\nclass AudioListener extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.type = 'AudioListener';\n\n\t\tthis.context = AudioContext.getContext();\n\n\t\tthis.gain = this.context.createGain();\n\t\tthis.gain.connect( this.context.destination );\n\n\t\tthis.filter = null;\n\n\t\tthis.timeDelta = 0;\n\n\t\t// private\n\n\t\tthis._clock = new Clock();\n\n\t}\n\n\tgetInput() {\n\n\t\treturn this.gain;\n\n\t}\n\n\tremoveFilter() {\n\n\t\tif ( this.filter !== null ) {\n\n\t\t\tthis.gain.disconnect( this.filter );\n\t\t\tthis.filter.disconnect( this.context.destination );\n\t\t\tthis.gain.connect( this.context.destination );\n\t\t\tthis.filter = null;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetFilter() {\n\n\t\treturn this.filter;\n\n\t}\n\n\tsetFilter( value ) {\n\n\t\tif ( this.filter !== null ) {\n\n\t\t\tthis.gain.disconnect( this.filter );\n\t\t\tthis.filter.disconnect( this.context.destination );\n\n\t\t} else {\n\n\t\t\tthis.gain.disconnect( this.context.destination );\n\n\t\t}\n\n\t\tthis.filter = value;\n\t\tthis.gain.connect( this.filter );\n\t\tthis.filter.connect( this.context.destination );\n\n\t\treturn this;\n\n\t}\n\n\tgetMasterVolume() {\n\n\t\treturn this.gain.gain.value;\n\n\t}\n\n\tsetMasterVolume( value ) {\n\n\t\tthis.gain.gain.setTargetAtTime( value, this.context.currentTime, 0.01 );\n\n\t\treturn this;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tconst listener = this.context.listener;\n\t\tconst up = this.up;\n\n\t\tthis.timeDelta = this._clock.getDelta();\n\n\t\tthis.matrixWorld.decompose( _position$1, _quaternion$1, _scale$1 );\n\n\t\t_orientation$1.set( 0, 0, - 1 ).applyQuaternion( _quaternion$1 );\n\n\t\tif ( listener.positionX ) {\n\n\t\t\t// code path for Chrome (see #14393)\n\n\t\t\tconst endTime = this.context.currentTime + this.timeDelta;\n\n\t\t\tlistener.positionX.linearRampToValueAtTime( _position$1.x, endTime );\n\t\t\tlistener.positionY.linearRampToValueAtTime( _position$1.y, endTime );\n\t\t\tlistener.positionZ.linearRampToValueAtTime( _position$1.z, endTime );\n\t\t\tlistener.forwardX.linearRampToValueAtTime( _orientation$1.x, endTime );\n\t\t\tlistener.forwardY.linearRampToValueAtTime( _orientation$1.y, endTime );\n\t\t\tlistener.forwardZ.linearRampToValueAtTime( _orientation$1.z, endTime );\n\t\t\tlistener.upX.linearRampToValueAtTime( up.x, endTime );\n\t\t\tlistener.upY.linearRampToValueAtTime( up.y, endTime );\n\t\t\tlistener.upZ.linearRampToValueAtTime( up.z, endTime );\n\n\t\t} else {\n\n\t\t\tlistener.setPosition( _position$1.x, _position$1.y, _position$1.z );\n\t\t\tlistener.setOrientation( _orientation$1.x, _orientation$1.y, _orientation$1.z, up.x, up.y, up.z );\n\n\t\t}\n\n\t}\n\n}\n\nclass Audio extends Object3D {\n\n\tconstructor( listener ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'Audio';\n\n\t\tthis.listener = listener;\n\t\tthis.context = listener.context;\n\n\t\tthis.gain = this.context.createGain();\n\t\tthis.gain.connect( listener.getInput() );\n\n\t\tthis.autoplay = false;\n\n\t\tthis.buffer = null;\n\t\tthis.detune = 0;\n\t\tthis.loop = false;\n\t\tthis.loopStart = 0;\n\t\tthis.loopEnd = 0;\n\t\tthis.offset = 0;\n\t\tthis.duration = undefined;\n\t\tthis.playbackRate = 1;\n\t\tthis.isPlaying = false;\n\t\tthis.hasPlaybackControl = true;\n\t\tthis.source = null;\n\t\tthis.sourceType = 'empty';\n\n\t\tthis._startedAt = 0;\n\t\tthis._progress = 0;\n\t\tthis._connected = false;\n\n\t\tthis.filters = [];\n\n\t}\n\n\tgetOutput() {\n\n\t\treturn this.gain;\n\n\t}\n\n\tsetNodeSource( audioNode ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'audioNode';\n\t\tthis.source = audioNode;\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetMediaElementSource( mediaElement ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'mediaNode';\n\t\tthis.source = this.context.createMediaElementSource( mediaElement );\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetMediaStreamSource( mediaStream ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'mediaStreamNode';\n\t\tthis.source = this.context.createMediaStreamSource( mediaStream );\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetBuffer( audioBuffer ) {\n\n\t\tthis.buffer = audioBuffer;\n\t\tthis.sourceType = 'buffer';\n\n\t\tif ( this.autoplay ) this.play();\n\n\t\treturn this;\n\n\t}\n\n\tplay( delay = 0 ) {\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: Audio is already playing.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis._startedAt = this.context.currentTime + delay;\n\n\t\tconst source = this.context.createBufferSource();\n\t\tsource.buffer = this.buffer;\n\t\tsource.loop = this.loop;\n\t\tsource.loopStart = this.loopStart;\n\t\tsource.loopEnd = this.loopEnd;\n\t\tsource.onended = this.onEnded.bind( this );\n\t\tsource.start( this._startedAt, this._progress + this.offset, this.duration );\n\n\t\tthis.isPlaying = true;\n\n\t\tthis.source = source;\n\n\t\tthis.setDetune( this.detune );\n\t\tthis.setPlaybackRate( this.playbackRate );\n\n\t\treturn this.connect();\n\n\t}\n\n\tpause() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\t// update current progress\n\n\t\t\tthis._progress += Math.max( this.context.currentTime - this._startedAt, 0 ) * this.playbackRate;\n\n\t\t\tif ( this.loop === true ) {\n\n\t\t\t\t// ensure _progress does not exceed duration with looped audios\n\n\t\t\t\tthis._progress = this._progress % ( this.duration || this.buffer.duration );\n\n\t\t\t}\n\n\t\t\tthis.source.stop();\n\t\t\tthis.source.onended = null;\n\n\t\t\tthis.isPlaying = false;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tstop() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis._progress = 0;\n\n\t\tif ( this.source !== null ) {\n\n\t\t\tthis.source.stop();\n\t\t\tthis.source.onended = null;\n\n\t\t}\n\n\t\tthis.isPlaying = false;\n\n\t\treturn this;\n\n\t}\n\n\tconnect() {\n\n\t\tif ( this.filters.length > 0 ) {\n\n\t\t\tthis.source.connect( this.filters[ 0 ] );\n\n\t\t\tfor ( let i = 1, l = this.filters.length; i < l; i ++ ) {\n\n\t\t\t\tthis.filters[ i - 1 ].connect( this.filters[ i ] );\n\n\t\t\t}\n\n\t\t\tthis.filters[ this.filters.length - 1 ].connect( this.getOutput() );\n\n\t\t} else {\n\n\t\t\tthis.source.connect( this.getOutput() );\n\n\t\t}\n\n\t\tthis._connected = true;\n\n\t\treturn this;\n\n\t}\n\n\tdisconnect() {\n\n\t\tif ( this._connected === false ) {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.filters.length > 0 ) {\n\n\t\t\tthis.source.disconnect( this.filters[ 0 ] );\n\n\t\t\tfor ( let i = 1, l = this.filters.length; i < l; i ++ ) {\n\n\t\t\t\tthis.filters[ i - 1 ].disconnect( this.filters[ i ] );\n\n\t\t\t}\n\n\t\t\tthis.filters[ this.filters.length - 1 ].disconnect( this.getOutput() );\n\n\t\t} else {\n\n\t\t\tthis.source.disconnect( this.getOutput() );\n\n\t\t}\n\n\t\tthis._connected = false;\n\n\t\treturn this;\n\n\t}\n\n\tgetFilters() {\n\n\t\treturn this.filters;\n\n\t}\n\n\tsetFilters( value ) {\n\n\t\tif ( ! value ) value = [];\n\n\t\tif ( this._connected === true ) {\n\n\t\t\tthis.disconnect();\n\t\t\tthis.filters = value.slice();\n\t\t\tthis.connect();\n\n\t\t} else {\n\n\t\t\tthis.filters = value.slice();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetDetune( value ) {\n\n\t\tthis.detune = value;\n\n\t\tif ( this.source.detune === undefined ) return; // only set detune when available\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.detune.setTargetAtTime( this.detune, this.context.currentTime, 0.01 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetDetune() {\n\n\t\treturn this.detune;\n\n\t}\n\n\tgetFilter() {\n\n\t\treturn this.getFilters()[ 0 ];\n\n\t}\n\n\tsetFilter( filter ) {\n\n\t\treturn this.setFilters( filter ? [ filter ] : [] );\n\n\t}\n\n\tsetPlaybackRate( value ) {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis.playbackRate = value;\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.playbackRate.setTargetAtTime( this.playbackRate, this.context.currentTime, 0.01 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetPlaybackRate() {\n\n\t\treturn this.playbackRate;\n\n\t}\n\n\tonEnded() {\n\n\t\tthis.isPlaying = false;\n\n\t}\n\n\tgetLoop() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn this.loop;\n\n\t}\n\n\tsetLoop( value ) {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis.loop = value;\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.loop = this.loop;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetLoopStart( value ) {\n\n\t\tthis.loopStart = value;\n\n\t\treturn this;\n\n\t}\n\n\tsetLoopEnd( value ) {\n\n\t\tthis.loopEnd = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetVolume() {\n\n\t\treturn this.gain.gain.value;\n\n\t}\n\n\tsetVolume( value ) {\n\n\t\tthis.gain.gain.setTargetAtTime( value, this.context.currentTime, 0.01 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _position = /*@__PURE__*/ new Vector3();\nconst _quaternion = /*@__PURE__*/ new Quaternion();\nconst _scale = /*@__PURE__*/ new Vector3();\nconst _orientation = /*@__PURE__*/ new Vector3();\n\nclass PositionalAudio extends Audio {\n\n\tconstructor( listener ) {\n\n\t\tsuper( listener );\n\n\t\tthis.panner = this.context.createPanner();\n\t\tthis.panner.panningModel = 'HRTF';\n\t\tthis.panner.connect( this.gain );\n\n\t}\n\n\tconnect() {\n\n\t\tsuper.connect();\n\n\t\tthis.panner.connect( this.gain );\n\n\t}\n\n\tdisconnect() {\n\n\t\tsuper.disconnect();\n\n\t\tthis.panner.disconnect( this.gain );\n\n\t}\n\n\tgetOutput() {\n\n\t\treturn this.panner;\n\n\t}\n\n\tgetRefDistance() {\n\n\t\treturn this.panner.refDistance;\n\n\t}\n\n\tsetRefDistance( value ) {\n\n\t\tthis.panner.refDistance = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetRolloffFactor() {\n\n\t\treturn this.panner.rolloffFactor;\n\n\t}\n\n\tsetRolloffFactor( value ) {\n\n\t\tthis.panner.rolloffFactor = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetDistanceModel() {\n\n\t\treturn this.panner.distanceModel;\n\n\t}\n\n\tsetDistanceModel( value ) {\n\n\t\tthis.panner.distanceModel = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetMaxDistance() {\n\n\t\treturn this.panner.maxDistance;\n\n\t}\n\n\tsetMaxDistance( value ) {\n\n\t\tthis.panner.maxDistance = value;\n\n\t\treturn this;\n\n\t}\n\n\tsetDirectionalCone( coneInnerAngle, coneOuterAngle, coneOuterGain ) {\n\n\t\tthis.panner.coneInnerAngle = coneInnerAngle;\n\t\tthis.panner.coneOuterAngle = coneOuterAngle;\n\t\tthis.panner.coneOuterGain = coneOuterGain;\n\n\t\treturn this;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tif ( this.hasPlaybackControl === true && this.isPlaying === false ) return;\n\n\t\tthis.matrixWorld.decompose( _position, _quaternion, _scale );\n\n\t\t_orientation.set( 0, 0, 1 ).applyQuaternion( _quaternion );\n\n\t\tconst panner = this.panner;\n\n\t\tif ( panner.positionX ) {\n\n\t\t\t// code path for Chrome and Firefox (see #14393)\n\n\t\t\tconst endTime = this.context.currentTime + this.listener.timeDelta;\n\n\t\t\tpanner.positionX.linearRampToValueAtTime( _position.x, endTime );\n\t\t\tpanner.positionY.linearRampToValueAtTime( _position.y, endTime );\n\t\t\tpanner.positionZ.linearRampToValueAtTime( _position.z, endTime );\n\t\t\tpanner.orientationX.linearRampToValueAtTime( _orientation.x, endTime );\n\t\t\tpanner.orientationY.linearRampToValueAtTime( _orientation.y, endTime );\n\t\t\tpanner.orientationZ.linearRampToValueAtTime( _orientation.z, endTime );\n\n\t\t} else {\n\n\t\t\tpanner.setPosition( _position.x, _position.y, _position.z );\n\t\t\tpanner.setOrientation( _orientation.x, _orientation.y, _orientation.z );\n\n\t\t}\n\n\t}\n\n}\n\nclass AudioAnalyser {\n\n\tconstructor( audio, fftSize = 2048 ) {\n\n\t\tthis.analyser = audio.context.createAnalyser();\n\t\tthis.analyser.fftSize = fftSize;\n\n\t\tthis.data = new Uint8Array( this.analyser.frequencyBinCount );\n\n\t\taudio.getOutput().connect( this.analyser );\n\n\t}\n\n\n\tgetFrequencyData() {\n\n\t\tthis.analyser.getByteFrequencyData( this.data );\n\n\t\treturn this.data;\n\n\t}\n\n\tgetAverageFrequency() {\n\n\t\tlet value = 0;\n\t\tconst data = this.getFrequencyData();\n\n\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\tvalue += data[ i ];\n\n\t\t}\n\n\t\treturn value / data.length;\n\n\t}\n\n}\n\nclass PropertyMixer {\n\n\tconstructor( binding, typeName, valueSize ) {\n\n\t\tthis.binding = binding;\n\t\tthis.valueSize = valueSize;\n\n\t\tlet mixFunction,\n\t\t\tmixFunctionAdditive,\n\t\t\tsetIdentity;\n\n\t\t// buffer layout: [ incoming | accu0 | accu1 | orig | addAccu | (optional work) ]\n\t\t//\n\t\t// interpolators can use .buffer as their .result\n\t\t// the data then goes to 'incoming'\n\t\t//\n\t\t// 'accu0' and 'accu1' are used frame-interleaved for\n\t\t// the cumulative result and are compared to detect\n\t\t// changes\n\t\t//\n\t\t// 'orig' stores the original state of the property\n\t\t//\n\t\t// 'add' is used for additive cumulative results\n\t\t//\n\t\t// 'work' is optional and is only present for quaternion types. It is used\n\t\t// to store intermediate quaternion multiplication results\n\n\t\tswitch ( typeName ) {\n\n\t\t\tcase 'quaternion':\n\t\t\t\tmixFunction = this._slerp;\n\t\t\t\tmixFunctionAdditive = this._slerpAdditive;\n\t\t\t\tsetIdentity = this._setAdditiveIdentityQuaternion;\n\n\t\t\t\tthis.buffer = new Float64Array( valueSize * 6 );\n\t\t\t\tthis._workIndex = 5;\n\t\t\t\tbreak;\n\n\t\t\tcase 'string':\n\t\t\tcase 'bool':\n\t\t\t\tmixFunction = this._select;\n\n\t\t\t\t// Use the regular mix function and for additive on these types,\n\t\t\t\t// additive is not relevant for non-numeric types\n\t\t\t\tmixFunctionAdditive = this._select;\n\n\t\t\t\tsetIdentity = this._setAdditiveIdentityOther;\n\n\t\t\t\tthis.buffer = new Array( valueSize * 5 );\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tmixFunction = this._lerp;\n\t\t\t\tmixFunctionAdditive = this._lerpAdditive;\n\t\t\t\tsetIdentity = this._setAdditiveIdentityNumeric;\n\n\t\t\t\tthis.buffer = new Float64Array( valueSize * 5 );\n\n\t\t}\n\n\t\tthis._mixBufferRegion = mixFunction;\n\t\tthis._mixBufferRegionAdditive = mixFunctionAdditive;\n\t\tthis._setIdentity = setIdentity;\n\t\tthis._origIndex = 3;\n\t\tthis._addIndex = 4;\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t\tthis.useCount = 0;\n\t\tthis.referenceCount = 0;\n\n\t}\n\n\t// accumulate data in the 'incoming' region into 'accu'\n\taccumulate( accuIndex, weight ) {\n\n\t\t// note: happily accumulating nothing when weight = 0, the caller knows\n\t\t// the weight and shouldn't have made the call in the first place\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = accuIndex * stride + stride;\n\n\t\tlet currentWeight = this.cumulativeWeight;\n\n\t\tif ( currentWeight === 0 ) {\n\n\t\t\t// accuN := incoming * weight\n\n\t\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\t\tbuffer[ offset + i ] = buffer[ i ];\n\n\t\t\t}\n\n\t\t\tcurrentWeight = weight;\n\n\t\t} else {\n\n\t\t\t// accuN := accuN + incoming * weight\n\n\t\t\tcurrentWeight += weight;\n\t\t\tconst mix = weight / currentWeight;\n\t\t\tthis._mixBufferRegion( buffer, offset, 0, mix, stride );\n\n\t\t}\n\n\t\tthis.cumulativeWeight = currentWeight;\n\n\t}\n\n\t// accumulate data in the 'incoming' region into 'add'\n\taccumulateAdditive( weight ) {\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = stride * this._addIndex;\n\n\t\tif ( this.cumulativeWeightAdditive === 0 ) {\n\n\t\t\t// add = identity\n\n\t\t\tthis._setIdentity();\n\n\t\t}\n\n\t\t// add := add + incoming * weight\n\n\t\tthis._mixBufferRegionAdditive( buffer, offset, 0, weight, stride );\n\t\tthis.cumulativeWeightAdditive += weight;\n\n\t}\n\n\t// apply the state of 'accu' to the binding when accus differ\n\tapply( accuIndex ) {\n\n\t\tconst stride = this.valueSize,\n\t\t\tbuffer = this.buffer,\n\t\t\toffset = accuIndex * stride + stride,\n\n\t\t\tweight = this.cumulativeWeight,\n\t\t\tweightAdditive = this.cumulativeWeightAdditive,\n\n\t\t\tbinding = this.binding;\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t\tif ( weight < 1 ) {\n\n\t\t\t// accuN := accuN + original * ( 1 - cumulativeWeight )\n\n\t\t\tconst originalValueOffset = stride * this._origIndex;\n\n\t\t\tthis._mixBufferRegion(\n\t\t\t\tbuffer, offset, originalValueOffset, 1 - weight, stride );\n\n\t\t}\n\n\t\tif ( weightAdditive > 0 ) {\n\n\t\t\t// accuN := accuN + additive accuN\n\n\t\t\tthis._mixBufferRegionAdditive( buffer, offset, this._addIndex * stride, 1, stride );\n\n\t\t}\n\n\t\tfor ( let i = stride, e = stride + stride; i !== e; ++ i ) {\n\n\t\t\tif ( buffer[ i ] !== buffer[ i + stride ] ) {\n\n\t\t\t\t// value has changed -> update scene graph\n\n\t\t\t\tbinding.setValue( buffer, offset );\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t// remember the state of the bound property and copy it to both accus\n\tsaveOriginalState() {\n\n\t\tconst binding = this.binding;\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\n\t\t\toriginalValueOffset = stride * this._origIndex;\n\n\t\tbinding.getValue( buffer, originalValueOffset );\n\n\t\t// accu[0..1] := orig -- initially detect changes against the original\n\t\tfor ( let i = stride, e = originalValueOffset; i !== e; ++ i ) {\n\n\t\t\tbuffer[ i ] = buffer[ originalValueOffset + ( i % stride ) ];\n\n\t\t}\n\n\t\t// Add to identity for additive\n\t\tthis._setIdentity();\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t}\n\n\t// apply the state previously taken via 'saveOriginalState' to the binding\n\trestoreOriginalState() {\n\n\t\tconst originalValueOffset = this.valueSize * 3;\n\t\tthis.binding.setValue( this.buffer, originalValueOffset );\n\n\t}\n\n\t_setAdditiveIdentityNumeric() {\n\n\t\tconst startIndex = this._addIndex * this.valueSize;\n\t\tconst endIndex = startIndex + this.valueSize;\n\n\t\tfor ( let i = startIndex; i < endIndex; i ++ ) {\n\n\t\t\tthis.buffer[ i ] = 0;\n\n\t\t}\n\n\t}\n\n\t_setAdditiveIdentityQuaternion() {\n\n\t\tthis._setAdditiveIdentityNumeric();\n\t\tthis.buffer[ this._addIndex * this.valueSize + 3 ] = 1;\n\n\t}\n\n\t_setAdditiveIdentityOther() {\n\n\t\tconst startIndex = this._origIndex * this.valueSize;\n\t\tconst targetIndex = this._addIndex * this.valueSize;\n\n\t\tfor ( let i = 0; i < this.valueSize; i ++ ) {\n\n\t\t\tthis.buffer[ targetIndex + i ] = this.buffer[ startIndex + i ];\n\n\t\t}\n\n\t}\n\n\n\t// mix functions\n\n\t_select( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tif ( t >= 0.5 ) {\n\n\t\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\t\tbuffer[ dstOffset + i ] = buffer[ srcOffset + i ];\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_slerp( buffer, dstOffset, srcOffset, t ) {\n\n\t\tQuaternion.slerpFlat( buffer, dstOffset, buffer, dstOffset, buffer, srcOffset, t );\n\n\t}\n\n\t_slerpAdditive( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tconst workOffset = this._workIndex * stride;\n\n\t\t// Store result in intermediate buffer offset\n\t\tQuaternion.multiplyQuaternionsFlat( buffer, workOffset, buffer, dstOffset, buffer, srcOffset );\n\n\t\t// Slerp to the intermediate result\n\t\tQuaternion.slerpFlat( buffer, dstOffset, buffer, dstOffset, buffer, workOffset, t );\n\n\t}\n\n\t_lerp( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tconst s = 1 - t;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tconst j = dstOffset + i;\n\n\t\t\tbuffer[ j ] = buffer[ j ] * s + buffer[ srcOffset + i ] * t;\n\n\t\t}\n\n\t}\n\n\t_lerpAdditive( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tconst j = dstOffset + i;\n\n\t\t\tbuffer[ j ] = buffer[ j ] + buffer[ srcOffset + i ] * t;\n\n\t\t}\n\n\t}\n\n}\n\n// Characters [].:/ are reserved for track binding syntax.\nconst _RESERVED_CHARS_RE = '\\\\[\\\\]\\\\.:\\\\/';\nconst _reservedRe = new RegExp( '[' + _RESERVED_CHARS_RE + ']', 'g' );\n\n// Attempts to allow node names from any language. ES5's `\\w` regexp matches\n// only latin characters, and the unicode \\p{L} is not yet supported. So\n// instead, we exclude reserved characters and match everything else.\nconst _wordChar = '[^' + _RESERVED_CHARS_RE + ']';\nconst _wordCharOrDot = '[^' + _RESERVED_CHARS_RE.replace( '\\\\.', '' ) + ']';\n\n// Parent directories, delimited by '/' or ':'. Currently unused, but must\n// be matched to parse the rest of the track name.\nconst _directoryRe = /*@__PURE__*/ /((?:WC+[\\/:])*)/.source.replace( 'WC', _wordChar );\n\n// Target node. May contain word characters (a-zA-Z0-9_) and '.' or '-'.\nconst _nodeRe = /*@__PURE__*/ /(WCOD+)?/.source.replace( 'WCOD', _wordCharOrDot );\n\n// Object on target node, and accessor. May not contain reserved\n// characters. Accessor may contain any character except closing bracket.\nconst _objectRe = /*@__PURE__*/ /(?:\\.(WC+)(?:\\[(.+)\\])?)?/.source.replace( 'WC', _wordChar );\n\n// Property and accessor. May not contain reserved characters. Accessor may\n// contain any non-bracket characters.\nconst _propertyRe = /*@__PURE__*/ /\\.(WC+)(?:\\[(.+)\\])?/.source.replace( 'WC', _wordChar );\n\nconst _trackRe = new RegExp( ''\n\t+ '^'\n\t+ _directoryRe\n\t+ _nodeRe\n\t+ _objectRe\n\t+ _propertyRe\n\t+ '$'\n);\n\nconst _supportedObjectNames = [ 'material', 'materials', 'bones', 'map' ];\n\nclass Composite {\n\n\tconstructor( targetGroup, path, optionalParsedPath ) {\n\n\t\tconst parsedPath = optionalParsedPath || PropertyBinding.parseTrackName( path );\n\n\t\tthis._targetGroup = targetGroup;\n\t\tthis._bindings = targetGroup.subscribe_( path, parsedPath );\n\n\t}\n\n\tgetValue( array, offset ) {\n\n\t\tthis.bind(); // bind all binding\n\n\t\tconst firstValidIndex = this._targetGroup.nCachedObjects_,\n\t\t\tbinding = this._bindings[ firstValidIndex ];\n\n\t\t// and only call .getValue on the first\n\t\tif ( binding !== undefined ) binding.getValue( array, offset );\n\n\t}\n\n\tsetValue( array, offset ) {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].setValue( array, offset );\n\n\t\t}\n\n\t}\n\n\tbind() {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].bind();\n\n\t\t}\n\n\t}\n\n\tunbind() {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].unbind();\n\n\t\t}\n\n\t}\n\n}\n\n// Note: This class uses a State pattern on a per-method basis:\n// 'bind' sets 'this.getValue' / 'setValue' and shadows the\n// prototype version of these methods with one that represents\n// the bound state. When the property is not found, the methods\n// become no-ops.\nclass PropertyBinding {\n\n\tconstructor( rootNode, path, parsedPath ) {\n\n\t\tthis.path = path;\n\t\tthis.parsedPath = parsedPath || PropertyBinding.parseTrackName( path );\n\n\t\tthis.node = PropertyBinding.findNode( rootNode, this.parsedPath.nodeName );\n\n\t\tthis.rootNode = rootNode;\n\n\t\t// initial state of these methods that calls 'bind'\n\t\tthis.getValue = this._getValue_unbound;\n\t\tthis.setValue = this._setValue_unbound;\n\n\t}\n\n\n\tstatic create( root, path, parsedPath ) {\n\n\t\tif ( ! ( root && root.isAnimationObjectGroup ) ) {\n\n\t\t\treturn new PropertyBinding( root, path, parsedPath );\n\n\t\t} else {\n\n\t\t\treturn new PropertyBinding.Composite( root, path, parsedPath );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Replaces spaces with underscores and removes unsupported characters from\n\t * node names, to ensure compatibility with parseTrackName().\n\t *\n\t * @param {string} name Node name to be sanitized.\n\t * @return {string}\n\t */\n\tstatic sanitizeNodeName( name ) {\n\n\t\treturn name.replace( /\\s/g, '_' ).replace( _reservedRe, '' );\n\n\t}\n\n\tstatic parseTrackName( trackName ) {\n\n\t\tconst matches = _trackRe.exec( trackName );\n\n\t\tif ( matches === null ) {\n\n\t\t\tthrow new Error( 'PropertyBinding: Cannot parse trackName: ' + trackName );\n\n\t\t}\n\n\t\tconst results = {\n\t\t\t// directoryName: matches[ 1 ], // (tschw) currently unused\n\t\t\tnodeName: matches[ 2 ],\n\t\t\tobjectName: matches[ 3 ],\n\t\t\tobjectIndex: matches[ 4 ],\n\t\t\tpropertyName: matches[ 5 ], // required\n\t\t\tpropertyIndex: matches[ 6 ]\n\t\t};\n\n\t\tconst lastDot = results.nodeName && results.nodeName.lastIndexOf( '.' );\n\n\t\tif ( lastDot !== undefined && lastDot !== - 1 ) {\n\n\t\t\tconst objectName = results.nodeName.substring( lastDot + 1 );\n\n\t\t\t// Object names must be checked against an allowlist. Otherwise, there\n\t\t\t// is no way to parse 'foo.bar.baz': 'baz' must be a property, but\n\t\t\t// 'bar' could be the objectName, or part of a nodeName (which can\n\t\t\t// include '.' characters).\n\t\t\tif ( _supportedObjectNames.indexOf( objectName ) !== - 1 ) {\n\n\t\t\t\tresults.nodeName = results.nodeName.substring( 0, lastDot );\n\t\t\t\tresults.objectName = objectName;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( results.propertyName === null || results.propertyName.length === 0 ) {\n\n\t\t\tthrow new Error( 'PropertyBinding: can not parse propertyName from trackName: ' + trackName );\n\n\t\t}\n\n\t\treturn results;\n\n\t}\n\n\tstatic findNode( root, nodeName ) {\n\n\t\tif ( nodeName === undefined || nodeName === '' || nodeName === '.' || nodeName === - 1 || nodeName === root.name || nodeName === root.uuid ) {\n\n\t\t\treturn root;\n\n\t\t}\n\n\t\t// search into skeleton bones.\n\t\tif ( root.skeleton ) {\n\n\t\t\tconst bone = root.skeleton.getBoneByName( nodeName );\n\n\t\t\tif ( bone !== undefined ) {\n\n\t\t\t\treturn bone;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// search into node subtree.\n\t\tif ( root.children ) {\n\n\t\t\tconst searchNodeSubtree = function ( children ) {\n\n\t\t\t\tfor ( let i = 0; i < children.length; i ++ ) {\n\n\t\t\t\t\tconst childNode = children[ i ];\n\n\t\t\t\t\tif ( childNode.name === nodeName || childNode.uuid === nodeName ) {\n\n\t\t\t\t\t\treturn childNode;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst result = searchNodeSubtree( childNode.children );\n\n\t\t\t\t\tif ( result ) return result;\n\n\t\t\t\t}\n\n\t\t\t\treturn null;\n\n\t\t\t};\n\n\t\t\tconst subTreeNode = searchNodeSubtree( root.children );\n\n\t\t\tif ( subTreeNode ) {\n\n\t\t\t\treturn subTreeNode;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\t// these are used to \"bind\" a nonexistent property\n\t_getValue_unavailable() {}\n\t_setValue_unavailable() {}\n\n\t// Getters\n\n\t_getValue_direct( buffer, offset ) {\n\n\t\tbuffer[ offset ] = this.targetObject[ this.propertyName ];\n\n\t}\n\n\t_getValue_array( buffer, offset ) {\n\n\t\tconst source = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = source.length; i !== n; ++ i ) {\n\n\t\t\tbuffer[ offset ++ ] = source[ i ];\n\n\t\t}\n\n\t}\n\n\t_getValue_arrayElement( buffer, offset ) {\n\n\t\tbuffer[ offset ] = this.resolvedProperty[ this.propertyIndex ];\n\n\t}\n\n\t_getValue_toArray( buffer, offset ) {\n\n\t\tthis.resolvedProperty.toArray( buffer, offset );\n\n\t}\n\n\t// Direct\n\n\t_setValue_direct( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\n\t}\n\n\t_setValue_direct_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_direct_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// EntireArray\n\n\t_setValue_array( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t}\n\n\t_setValue_array_setNeedsUpdate( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_array_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// ArrayElement\n\n\t_setValue_arrayElement( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\n\t}\n\n\t_setValue_arrayElement_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_arrayElement_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// HasToFromArray\n\n\t_setValue_fromArray( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\n\t}\n\n\t_setValue_fromArray_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_fromArray_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t_getValue_unbound( targetArray, offset ) {\n\n\t\tthis.bind();\n\t\tthis.getValue( targetArray, offset );\n\n\t}\n\n\t_setValue_unbound( sourceArray, offset ) {\n\n\t\tthis.bind();\n\t\tthis.setValue( sourceArray, offset );\n\n\t}\n\n\t// create getter / setter pair for a property in the scene graph\n\tbind() {\n\n\t\tlet targetObject = this.node;\n\t\tconst parsedPath = this.parsedPath;\n\n\t\tconst objectName = parsedPath.objectName;\n\t\tconst propertyName = parsedPath.propertyName;\n\t\tlet propertyIndex = parsedPath.propertyIndex;\n\n\t\tif ( ! targetObject ) {\n\n\t\t\ttargetObject = PropertyBinding.findNode( this.rootNode, parsedPath.nodeName );\n\n\t\t\tthis.node = targetObject;\n\n\t\t}\n\n\t\t// set fail state so we can just 'return' on error\n\t\tthis.getValue = this._getValue_unavailable;\n\t\tthis.setValue = this._setValue_unavailable;\n\n\t\t// ensure there is a value node\n\t\tif ( ! targetObject ) {\n\n\t\t\tconsole.warn( 'THREE.PropertyBinding: No target node found for track: ' + this.path + '.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( objectName ) {\n\n\t\t\tlet objectIndex = parsedPath.objectIndex;\n\n\t\t\t// special cases were we need to reach deeper into the hierarchy to get the face materials....\n\t\t\tswitch ( objectName ) {\n\n\t\t\t\tcase 'materials':\n\n\t\t\t\t\tif ( ! targetObject.material ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material as node does not have a material.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material.materials ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material.materials as node.material does not have a materials array.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject.material.materials;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'bones':\n\n\t\t\t\t\tif ( ! targetObject.skeleton ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to bones as node does not have a skeleton.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// potential future optimization: skip this if propertyIndex is already an integer\n\t\t\t\t\t// and convert the integer string to a true integer.\n\n\t\t\t\t\ttargetObject = targetObject.skeleton.bones;\n\n\t\t\t\t\t// support resolving morphTarget names into indices.\n\t\t\t\t\tfor ( let i = 0; i < targetObject.length; i ++ ) {\n\n\t\t\t\t\t\tif ( targetObject[ i ].name === objectIndex ) {\n\n\t\t\t\t\t\t\tobjectIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'map':\n\n\t\t\t\t\tif ( 'map' in targetObject ) {\n\n\t\t\t\t\t\ttargetObject = targetObject.map;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material as node does not have a material.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material.map ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material.map as node.material does not have a map.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject.material.map;\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tif ( targetObject[ objectName ] === undefined ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to objectName of node undefined.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject[ objectName ];\n\n\t\t\t}\n\n\n\t\t\tif ( objectIndex !== undefined ) {\n\n\t\t\t\tif ( targetObject[ objectIndex ] === undefined ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Trying to bind to objectIndex of objectName, but is undefined.', this, targetObject );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\ttargetObject = targetObject[ objectIndex ];\n\n\t\t\t}\n\n\t\t}\n\n\t\t// resolve property\n\t\tconst nodeProperty = targetObject[ propertyName ];\n\n\t\tif ( nodeProperty === undefined ) {\n\n\t\t\tconst nodeName = parsedPath.nodeName;\n\n\t\t\tconsole.error( 'THREE.PropertyBinding: Trying to update property for track: ' + nodeName +\n\t\t\t\t'.' + propertyName + ' but it wasn\\'t found.', targetObject );\n\t\t\treturn;\n\n\t\t}\n\n\t\t// determine versioning scheme\n\t\tlet versioning = this.Versioning.None;\n\n\t\tthis.targetObject = targetObject;\n\n\t\tif ( targetObject.needsUpdate !== undefined ) { // material\n\n\t\t\tversioning = this.Versioning.NeedsUpdate;\n\n\t\t} else if ( targetObject.matrixWorldNeedsUpdate !== undefined ) { // node transform\n\n\t\t\tversioning = this.Versioning.MatrixWorldNeedsUpdate;\n\n\t\t}\n\n\t\t// determine how the property gets bound\n\t\tlet bindingType = this.BindingType.Direct;\n\n\t\tif ( propertyIndex !== undefined ) {\n\n\t\t\t// access a sub element of the property array (only primitives are supported right now)\n\n\t\t\tif ( propertyName === 'morphTargetInfluences' ) {\n\n\t\t\t\t// potential optimization, skip this if propertyIndex is already an integer, and convert the integer string to a true integer.\n\n\t\t\t\t// support resolving morphTarget names into indices.\n\t\t\t\tif ( ! targetObject.geometry ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.', this );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\tif ( ! targetObject.geometry.morphAttributes ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphAttributes.', this );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\tif ( targetObject.morphTargetDictionary[ propertyIndex ] !== undefined ) {\n\n\t\t\t\t\tpropertyIndex = targetObject.morphTargetDictionary[ propertyIndex ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tbindingType = this.BindingType.ArrayElement;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\t\t\tthis.propertyIndex = propertyIndex;\n\n\t\t} else if ( nodeProperty.fromArray !== undefined && nodeProperty.toArray !== undefined ) {\n\n\t\t\t// must use copy for Object3D.Euler/Quaternion\n\n\t\t\tbindingType = this.BindingType.HasFromToArray;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\n\t\t} else if ( Array.isArray( nodeProperty ) ) {\n\n\t\t\tbindingType = this.BindingType.EntireArray;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\n\t\t} else {\n\n\t\t\tthis.propertyName = propertyName;\n\n\t\t}\n\n\t\t// select getter / setter\n\t\tthis.getValue = this.GetterByBindingType[ bindingType ];\n\t\tthis.setValue = this.SetterByBindingTypeAndVersioning[ bindingType ][ versioning ];\n\n\t}\n\n\tunbind() {\n\n\t\tthis.node = null;\n\n\t\t// back to the prototype version of getValue / setValue\n\t\t// note: avoiding to mutate the shape of 'this' via 'delete'\n\t\tthis.getValue = this._getValue_unbound;\n\t\tthis.setValue = this._setValue_unbound;\n\n\t}\n\n}\n\nPropertyBinding.Composite = Composite;\n\nPropertyBinding.prototype.BindingType = {\n\tDirect: 0,\n\tEntireArray: 1,\n\tArrayElement: 2,\n\tHasFromToArray: 3\n};\n\nPropertyBinding.prototype.Versioning = {\n\tNone: 0,\n\tNeedsUpdate: 1,\n\tMatrixWorldNeedsUpdate: 2\n};\n\nPropertyBinding.prototype.GetterByBindingType = [\n\n\tPropertyBinding.prototype._getValue_direct,\n\tPropertyBinding.prototype._getValue_array,\n\tPropertyBinding.prototype._getValue_arrayElement,\n\tPropertyBinding.prototype._getValue_toArray,\n\n];\n\nPropertyBinding.prototype.SetterByBindingTypeAndVersioning = [\n\n\t[\n\t\t// Direct\n\t\tPropertyBinding.prototype._setValue_direct,\n\t\tPropertyBinding.prototype._setValue_direct_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_direct_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// EntireArray\n\n\t\tPropertyBinding.prototype._setValue_array,\n\t\tPropertyBinding.prototype._setValue_array_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_array_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// ArrayElement\n\t\tPropertyBinding.prototype._setValue_arrayElement,\n\t\tPropertyBinding.prototype._setValue_arrayElement_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_arrayElement_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// HasToFromArray\n\t\tPropertyBinding.prototype._setValue_fromArray,\n\t\tPropertyBinding.prototype._setValue_fromArray_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_fromArray_setMatrixWorldNeedsUpdate,\n\n\t]\n\n];\n\n/**\n *\n * A group of objects that receives a shared animation state.\n *\n * Usage:\n *\n * - Add objects you would otherwise pass as 'root' to the\n * constructor or the .clipAction method of AnimationMixer.\n *\n * - Instead pass this object as 'root'.\n *\n * - You can also add and remove objects later when the mixer\n * is running.\n *\n * Note:\n *\n * Objects of this class appear as one object to the mixer,\n * so cache control of the individual objects must be done\n * on the group.\n *\n * Limitation:\n *\n * - The animated properties must be compatible among the\n * all objects in the group.\n *\n * - A single property can either be controlled through a\n * target group or directly, but not both.\n */\n\nclass AnimationObjectGroup {\n\n\tconstructor() {\n\n\t\tthis.isAnimationObjectGroup = true;\n\n\t\tthis.uuid = generateUUID();\n\n\t\t// cached objects followed by the active ones\n\t\tthis._objects = Array.prototype.slice.call( arguments );\n\n\t\tthis.nCachedObjects_ = 0; // threshold\n\t\t// note: read by PropertyBinding.Composite\n\n\t\tconst indices = {};\n\t\tthis._indicesByUUID = indices; // for bookkeeping\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tindices[ arguments[ i ].uuid ] = i;\n\n\t\t}\n\n\t\tthis._paths = []; // inside: string\n\t\tthis._parsedPaths = []; // inside: { we don't care, here }\n\t\tthis._bindings = []; // inside: Array< PropertyBinding >\n\t\tthis._bindingsIndicesByPath = {}; // inside: indices in these arrays\n\n\t\tconst scope = this;\n\n\t\tthis.stats = {\n\n\t\t\tobjects: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._objects.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn this.total - scope.nCachedObjects_;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tget bindingsPerObject() {\n\n\t\t\t\treturn scope._bindings.length;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tadd() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tpaths = this._paths,\n\t\t\tparsedPaths = this._parsedPaths,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet knownObject = undefined,\n\t\t\tnObjects = objects.length,\n\t\t\tnCachedObjects = this.nCachedObjects_;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid;\n\t\t\tlet index = indicesByUUID[ uuid ];\n\n\t\t\tif ( index === undefined ) {\n\n\t\t\t\t// unknown object -> add it to the ACTIVE region\n\n\t\t\t\tindex = nObjects ++;\n\t\t\t\tindicesByUUID[ uuid ] = index;\n\t\t\t\tobjects.push( object );\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tbindings[ j ].push( new PropertyBinding( object, paths[ j ], parsedPaths[ j ] ) );\n\n\t\t\t\t}\n\n\t\t\t} else if ( index < nCachedObjects ) {\n\n\t\t\t\tknownObject = objects[ index ];\n\n\t\t\t\t// move existing object to the ACTIVE region\n\n\t\t\t\tconst firstActiveIndex = -- nCachedObjects,\n\t\t\t\t\tlastCachedObject = objects[ firstActiveIndex ];\n\n\t\t\t\tindicesByUUID[ lastCachedObject.uuid ] = index;\n\t\t\t\tobjects[ index ] = lastCachedObject;\n\n\t\t\t\tindicesByUUID[ uuid ] = firstActiveIndex;\n\t\t\t\tobjects[ firstActiveIndex ] = object;\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\tlastCached = bindingsForPath[ firstActiveIndex ];\n\n\t\t\t\t\tlet binding = bindingsForPath[ index ];\n\n\t\t\t\t\tbindingsForPath[ index ] = lastCached;\n\n\t\t\t\t\tif ( binding === undefined ) {\n\n\t\t\t\t\t\t// since we do not bother to create new bindings\n\t\t\t\t\t\t// for objects that are cached, the binding may\n\t\t\t\t\t\t// or may not exist\n\n\t\t\t\t\t\tbinding = new PropertyBinding( object, paths[ j ], parsedPaths[ j ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbindingsForPath[ firstActiveIndex ] = binding;\n\n\t\t\t\t}\n\n\t\t\t} else if ( objects[ index ] !== knownObject ) {\n\n\t\t\t\tconsole.error( 'THREE.AnimationObjectGroup: Different objects with the same UUID ' +\n\t\t\t\t\t'detected. Clean the caches or recreate your infrastructure when reloading scenes.' );\n\n\t\t\t} // else the object is already where we want it to be\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\tremove() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet nCachedObjects = this.nCachedObjects_;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid,\n\t\t\t\tindex = indicesByUUID[ uuid ];\n\n\t\t\tif ( index !== undefined && index >= nCachedObjects ) {\n\n\t\t\t\t// move existing object into the CACHED region\n\n\t\t\t\tconst lastCachedIndex = nCachedObjects ++,\n\t\t\t\t\tfirstActiveObject = objects[ lastCachedIndex ];\n\n\t\t\t\tindicesByUUID[ firstActiveObject.uuid ] = index;\n\t\t\t\tobjects[ index ] = firstActiveObject;\n\n\t\t\t\tindicesByUUID[ uuid ] = lastCachedIndex;\n\t\t\t\tobjects[ lastCachedIndex ] = object;\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\tfirstActive = bindingsForPath[ lastCachedIndex ],\n\t\t\t\t\t\tbinding = bindingsForPath[ index ];\n\n\t\t\t\t\tbindingsForPath[ index ] = firstActive;\n\t\t\t\t\tbindingsForPath[ lastCachedIndex ] = binding;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\t// remove & forget\n\tuncache() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet nCachedObjects = this.nCachedObjects_,\n\t\t\tnObjects = objects.length;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid,\n\t\t\t\tindex = indicesByUUID[ uuid ];\n\n\t\t\tif ( index !== undefined ) {\n\n\t\t\t\tdelete indicesByUUID[ uuid ];\n\n\t\t\t\tif ( index < nCachedObjects ) {\n\n\t\t\t\t\t// object is cached, shrink the CACHED region\n\n\t\t\t\t\tconst firstActiveIndex = -- nCachedObjects,\n\t\t\t\t\t\tlastCachedObject = objects[ firstActiveIndex ],\n\t\t\t\t\t\tlastIndex = -- nObjects,\n\t\t\t\t\t\tlastObject = objects[ lastIndex ];\n\n\t\t\t\t\t// last cached object takes this object's place\n\t\t\t\t\tindicesByUUID[ lastCachedObject.uuid ] = index;\n\t\t\t\t\tobjects[ index ] = lastCachedObject;\n\n\t\t\t\t\t// last object goes to the activated slot and pop\n\t\t\t\t\tindicesByUUID[ lastObject.uuid ] = firstActiveIndex;\n\t\t\t\t\tobjects[ firstActiveIndex ] = lastObject;\n\t\t\t\t\tobjects.pop();\n\n\t\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\t\tlastCached = bindingsForPath[ firstActiveIndex ],\n\t\t\t\t\t\t\tlast = bindingsForPath[ lastIndex ];\n\n\t\t\t\t\t\tbindingsForPath[ index ] = lastCached;\n\t\t\t\t\t\tbindingsForPath[ firstActiveIndex ] = last;\n\t\t\t\t\t\tbindingsForPath.pop();\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// object is active, just swap with the last and pop\n\n\t\t\t\t\tconst lastIndex = -- nObjects,\n\t\t\t\t\t\tlastObject = objects[ lastIndex ];\n\n\t\t\t\t\tif ( lastIndex > 0 ) {\n\n\t\t\t\t\t\tindicesByUUID[ lastObject.uuid ] = index;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tobjects[ index ] = lastObject;\n\t\t\t\t\tobjects.pop();\n\n\t\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\t\tconst bindingsForPath = bindings[ j ];\n\n\t\t\t\t\t\tbindingsForPath[ index ] = bindingsForPath[ lastIndex ];\n\t\t\t\t\t\tbindingsForPath.pop();\n\n\t\t\t\t\t}\n\n\t\t\t\t} // cached or active\n\n\t\t\t} // if object is known\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\t// Internal interface used by befriended PropertyBinding.Composite:\n\n\tsubscribe_( path, parsedPath ) {\n\n\t\t// returns an array of bindings for the given path that is changed\n\t\t// according to the contained objects in the group\n\n\t\tconst indicesByPath = this._bindingsIndicesByPath;\n\t\tlet index = indicesByPath[ path ];\n\t\tconst bindings = this._bindings;\n\n\t\tif ( index !== undefined ) return bindings[ index ];\n\n\t\tconst paths = this._paths,\n\t\t\tparsedPaths = this._parsedPaths,\n\t\t\tobjects = this._objects,\n\t\t\tnObjects = objects.length,\n\t\t\tnCachedObjects = this.nCachedObjects_,\n\t\t\tbindingsForPath = new Array( nObjects );\n\n\t\tindex = bindings.length;\n\n\t\tindicesByPath[ path ] = index;\n\n\t\tpaths.push( path );\n\t\tparsedPaths.push( parsedPath );\n\t\tbindings.push( bindingsForPath );\n\n\t\tfor ( let i = nCachedObjects, n = objects.length; i !== n; ++ i ) {\n\n\t\t\tconst object = objects[ i ];\n\t\t\tbindingsForPath[ i ] = new PropertyBinding( object, path, parsedPath );\n\n\t\t}\n\n\t\treturn bindingsForPath;\n\n\t}\n\n\tunsubscribe_( path ) {\n\n\t\t// tells the group to forget about a property path and no longer\n\t\t// update the array previously obtained with 'subscribe_'\n\n\t\tconst indicesByPath = this._bindingsIndicesByPath,\n\t\t\tindex = indicesByPath[ path ];\n\n\t\tif ( index !== undefined ) {\n\n\t\t\tconst paths = this._paths,\n\t\t\t\tparsedPaths = this._parsedPaths,\n\t\t\t\tbindings = this._bindings,\n\t\t\t\tlastBindingsIndex = bindings.length - 1,\n\t\t\t\tlastBindings = bindings[ lastBindingsIndex ],\n\t\t\t\tlastBindingsPath = path[ lastBindingsIndex ];\n\n\t\t\tindicesByPath[ lastBindingsPath ] = index;\n\n\t\t\tbindings[ index ] = lastBindings;\n\t\t\tbindings.pop();\n\n\t\t\tparsedPaths[ index ] = parsedPaths[ lastBindingsIndex ];\n\t\t\tparsedPaths.pop();\n\n\t\t\tpaths[ index ] = paths[ lastBindingsIndex ];\n\t\t\tpaths.pop();\n\n\t\t}\n\n\t}\n\n}\n\nclass AnimationAction {\n\n\tconstructor( mixer, clip, localRoot = null, blendMode = clip.blendMode ) {\n\n\t\tthis._mixer = mixer;\n\t\tthis._clip = clip;\n\t\tthis._localRoot = localRoot;\n\t\tthis.blendMode = blendMode;\n\n\t\tconst tracks = clip.tracks,\n\t\t\tnTracks = tracks.length,\n\t\t\tinterpolants = new Array( nTracks );\n\n\t\tconst interpolantSettings = {\n\t\t\tendingStart: ZeroCurvatureEnding,\n\t\t\tendingEnd: ZeroCurvatureEnding\n\t\t};\n\n\t\tfor ( let i = 0; i !== nTracks; ++ i ) {\n\n\t\t\tconst interpolant = tracks[ i ].createInterpolant( null );\n\t\t\tinterpolants[ i ] = interpolant;\n\t\t\tinterpolant.settings = interpolantSettings;\n\n\t\t}\n\n\t\tthis._interpolantSettings = interpolantSettings;\n\n\t\tthis._interpolants = interpolants; // bound by the mixer\n\n\t\t// inside: PropertyMixer (managed by the mixer)\n\t\tthis._propertyBindings = new Array( nTracks );\n\n\t\tthis._cacheIndex = null; // for the memory manager\n\t\tthis._byClipCacheIndex = null; // for the memory manager\n\n\t\tthis._timeScaleInterpolant = null;\n\t\tthis._weightInterpolant = null;\n\n\t\tthis.loop = LoopRepeat;\n\t\tthis._loopCount = - 1;\n\n\t\t// global mixer time when the action is to be started\n\t\t// it's set back to 'null' upon start of the action\n\t\tthis._startTime = null;\n\n\t\t// scaled local time of the action\n\t\t// gets clamped or wrapped to 0..clip.duration according to loop\n\t\tthis.time = 0;\n\n\t\tthis.timeScale = 1;\n\t\tthis._effectiveTimeScale = 1;\n\n\t\tthis.weight = 1;\n\t\tthis._effectiveWeight = 1;\n\n\t\tthis.repetitions = Infinity; // no. of repetitions when looping\n\n\t\tthis.paused = false; // true -> zero effective time scale\n\t\tthis.enabled = true; // false -> zero effective weight\n\n\t\tthis.clampWhenFinished = false;// keep feeding the last frame?\n\n\t\tthis.zeroSlopeAtStart = true;// for smooth interpolation w/o separate\n\t\tthis.zeroSlopeAtEnd = true;// clips for start, loop and end\n\n\t}\n\n\t// State & Scheduling\n\n\tplay() {\n\n\t\tthis._mixer._activateAction( this );\n\n\t\treturn this;\n\n\t}\n\n\tstop() {\n\n\t\tthis._mixer._deactivateAction( this );\n\n\t\treturn this.reset();\n\n\t}\n\n\treset() {\n\n\t\tthis.paused = false;\n\t\tthis.enabled = true;\n\n\t\tthis.time = 0; // restart clip\n\t\tthis._loopCount = - 1;// forget previous loops\n\t\tthis._startTime = null;// forget scheduling\n\n\t\treturn this.stopFading().stopWarping();\n\n\t}\n\n\tisRunning() {\n\n\t\treturn this.enabled && ! this.paused && this.timeScale !== 0 &&\n\t\t\tthis._startTime === null && this._mixer._isActiveAction( this );\n\n\t}\n\n\t// return true when play has been called\n\tisScheduled() {\n\n\t\treturn this._mixer._isActiveAction( this );\n\n\t}\n\n\tstartAt( time ) {\n\n\t\tthis._startTime = time;\n\n\t\treturn this;\n\n\t}\n\n\tsetLoop( mode, repetitions ) {\n\n\t\tthis.loop = mode;\n\t\tthis.repetitions = repetitions;\n\n\t\treturn this;\n\n\t}\n\n\t// Weight\n\n\t// set the weight stopping any scheduled fading\n\t// although .enabled = false yields an effective weight of zero, this\n\t// method does *not* change .enabled, because it would be confusing\n\tsetEffectiveWeight( weight ) {\n\n\t\tthis.weight = weight;\n\n\t\t// note: same logic as when updated at runtime\n\t\tthis._effectiveWeight = this.enabled ? weight : 0;\n\n\t\treturn this.stopFading();\n\n\t}\n\n\t// return the weight considering fading and .enabled\n\tgetEffectiveWeight() {\n\n\t\treturn this._effectiveWeight;\n\n\t}\n\n\tfadeIn( duration ) {\n\n\t\treturn this._scheduleFading( duration, 0, 1 );\n\n\t}\n\n\tfadeOut( duration ) {\n\n\t\treturn this._scheduleFading( duration, 1, 0 );\n\n\t}\n\n\tcrossFadeFrom( fadeOutAction, duration, warp ) {\n\n\t\tfadeOutAction.fadeOut( duration );\n\t\tthis.fadeIn( duration );\n\n\t\tif ( warp ) {\n\n\t\t\tconst fadeInDuration = this._clip.duration,\n\t\t\t\tfadeOutDuration = fadeOutAction._clip.duration,\n\n\t\t\t\tstartEndRatio = fadeOutDuration / fadeInDuration,\n\t\t\t\tendStartRatio = fadeInDuration / fadeOutDuration;\n\n\t\t\tfadeOutAction.warp( 1.0, startEndRatio, duration );\n\t\t\tthis.warp( endStartRatio, 1.0, duration );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcrossFadeTo( fadeInAction, duration, warp ) {\n\n\t\treturn fadeInAction.crossFadeFrom( this, duration, warp );\n\n\t}\n\n\tstopFading() {\n\n\t\tconst weightInterpolant = this._weightInterpolant;\n\n\t\tif ( weightInterpolant !== null ) {\n\n\t\t\tthis._weightInterpolant = null;\n\t\t\tthis._mixer._takeBackControlInterpolant( weightInterpolant );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Time Scale Control\n\n\t// set the time scale stopping any scheduled warping\n\t// although .paused = true yields an effective time scale of zero, this\n\t// method does *not* change .paused, because it would be confusing\n\tsetEffectiveTimeScale( timeScale ) {\n\n\t\tthis.timeScale = timeScale;\n\t\tthis._effectiveTimeScale = this.paused ? 0 : timeScale;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\t// return the time scale considering warping and .paused\n\tgetEffectiveTimeScale() {\n\n\t\treturn this._effectiveTimeScale;\n\n\t}\n\n\tsetDuration( duration ) {\n\n\t\tthis.timeScale = this._clip.duration / duration;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\tsyncWith( action ) {\n\n\t\tthis.time = action.time;\n\t\tthis.timeScale = action.timeScale;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\thalt( duration ) {\n\n\t\treturn this.warp( this._effectiveTimeScale, 0, duration );\n\n\t}\n\n\twarp( startTimeScale, endTimeScale, duration ) {\n\n\t\tconst mixer = this._mixer,\n\t\t\tnow = mixer.time,\n\t\t\ttimeScale = this.timeScale;\n\n\t\tlet interpolant = this._timeScaleInterpolant;\n\n\t\tif ( interpolant === null ) {\n\n\t\t\tinterpolant = mixer._lendControlInterpolant();\n\t\t\tthis._timeScaleInterpolant = interpolant;\n\n\t\t}\n\n\t\tconst times = interpolant.parameterPositions,\n\t\t\tvalues = interpolant.sampleValues;\n\n\t\ttimes[ 0 ] = now;\n\t\ttimes[ 1 ] = now + duration;\n\n\t\tvalues[ 0 ] = startTimeScale / timeScale;\n\t\tvalues[ 1 ] = endTimeScale / timeScale;\n\n\t\treturn this;\n\n\t}\n\n\tstopWarping() {\n\n\t\tconst timeScaleInterpolant = this._timeScaleInterpolant;\n\n\t\tif ( timeScaleInterpolant !== null ) {\n\n\t\t\tthis._timeScaleInterpolant = null;\n\t\t\tthis._mixer._takeBackControlInterpolant( timeScaleInterpolant );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Object Accessors\n\n\tgetMixer() {\n\n\t\treturn this._mixer;\n\n\t}\n\n\tgetClip() {\n\n\t\treturn this._clip;\n\n\t}\n\n\tgetRoot() {\n\n\t\treturn this._localRoot || this._mixer._root;\n\n\t}\n\n\t// Interna\n\n\t_update( time, deltaTime, timeDirection, accuIndex ) {\n\n\t\t// called by the mixer\n\n\t\tif ( ! this.enabled ) {\n\n\t\t\t// call ._updateWeight() to update ._effectiveWeight\n\n\t\t\tthis._updateWeight( time );\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst startTime = this._startTime;\n\n\t\tif ( startTime !== null ) {\n\n\t\t\t// check for scheduled start of action\n\n\t\t\tconst timeRunning = ( time - startTime ) * timeDirection;\n\t\t\tif ( timeRunning < 0 || timeDirection === 0 ) {\n\n\t\t\t\tdeltaTime = 0;\n\n\t\t\t} else {\n\n\n\t\t\t\tthis._startTime = null; // unschedule\n\t\t\t\tdeltaTime = timeDirection * timeRunning;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// apply time scale and advance time\n\n\t\tdeltaTime *= this._updateTimeScale( time );\n\t\tconst clipTime = this._updateTime( deltaTime );\n\n\t\t// note: _updateTime may disable the action resulting in\n\t\t// an effective weight of 0\n\n\t\tconst weight = this._updateWeight( time );\n\n\t\tif ( weight > 0 ) {\n\n\t\t\tconst interpolants = this._interpolants;\n\t\t\tconst propertyMixers = this._propertyBindings;\n\n\t\t\tswitch ( this.blendMode ) {\n\n\t\t\t\tcase AdditiveAnimationBlendMode:\n\n\t\t\t\t\tfor ( let j = 0, m = interpolants.length; j !== m; ++ j ) {\n\n\t\t\t\t\t\tinterpolants[ j ].evaluate( clipTime );\n\t\t\t\t\t\tpropertyMixers[ j ].accumulateAdditive( weight );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase NormalAnimationBlendMode:\n\t\t\t\tdefault:\n\n\t\t\t\t\tfor ( let j = 0, m = interpolants.length; j !== m; ++ j ) {\n\n\t\t\t\t\t\tinterpolants[ j ].evaluate( clipTime );\n\t\t\t\t\t\tpropertyMixers[ j ].accumulate( accuIndex, weight );\n\n\t\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_updateWeight( time ) {\n\n\t\tlet weight = 0;\n\n\t\tif ( this.enabled ) {\n\n\t\t\tweight = this.weight;\n\t\t\tconst interpolant = this._weightInterpolant;\n\n\t\t\tif ( interpolant !== null ) {\n\n\t\t\t\tconst interpolantValue = interpolant.evaluate( time )[ 0 ];\n\n\t\t\t\tweight *= interpolantValue;\n\n\t\t\t\tif ( time > interpolant.parameterPositions[ 1 ] ) {\n\n\t\t\t\t\tthis.stopFading();\n\n\t\t\t\t\tif ( interpolantValue === 0 ) {\n\n\t\t\t\t\t\t// faded out, disable\n\t\t\t\t\t\tthis.enabled = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._effectiveWeight = weight;\n\t\treturn weight;\n\n\t}\n\n\t_updateTimeScale( time ) {\n\n\t\tlet timeScale = 0;\n\n\t\tif ( ! this.paused ) {\n\n\t\t\ttimeScale = this.timeScale;\n\n\t\t\tconst interpolant = this._timeScaleInterpolant;\n\n\t\t\tif ( interpolant !== null ) {\n\n\t\t\t\tconst interpolantValue = interpolant.evaluate( time )[ 0 ];\n\n\t\t\t\ttimeScale *= interpolantValue;\n\n\t\t\t\tif ( time > interpolant.parameterPositions[ 1 ] ) {\n\n\t\t\t\t\tthis.stopWarping();\n\n\t\t\t\t\tif ( timeScale === 0 ) {\n\n\t\t\t\t\t\t// motion has halted, pause\n\t\t\t\t\t\tthis.paused = true;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// warp done - apply final time scale\n\t\t\t\t\t\tthis.timeScale = timeScale;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._effectiveTimeScale = timeScale;\n\t\treturn timeScale;\n\n\t}\n\n\t_updateTime( deltaTime ) {\n\n\t\tconst duration = this._clip.duration;\n\t\tconst loop = this.loop;\n\n\t\tlet time = this.time + deltaTime;\n\t\tlet loopCount = this._loopCount;\n\n\t\tconst pingPong = ( loop === LoopPingPong );\n\n\t\tif ( deltaTime === 0 ) {\n\n\t\t\tif ( loopCount === - 1 ) return time;\n\n\t\t\treturn ( pingPong && ( loopCount & 1 ) === 1 ) ? duration - time : time;\n\n\t\t}\n\n\t\tif ( loop === LoopOnce ) {\n\n\t\t\tif ( loopCount === - 1 ) {\n\n\t\t\t\t// just started\n\n\t\t\t\tthis._loopCount = 0;\n\t\t\t\tthis._setEndings( true, true, false );\n\n\t\t\t}\n\n\t\t\thandle_stop: {\n\n\t\t\t\tif ( time >= duration ) {\n\n\t\t\t\t\ttime = duration;\n\n\t\t\t\t} else if ( time < 0 ) {\n\n\t\t\t\t\ttime = 0;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tbreak handle_stop;\n\n\t\t\t\t}\n\n\t\t\t\tif ( this.clampWhenFinished ) this.paused = true;\n\t\t\t\telse this.enabled = false;\n\n\t\t\t\tthis.time = time;\n\n\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\ttype: 'finished', action: this,\n\t\t\t\t\tdirection: deltaTime < 0 ? - 1 : 1\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t} else { // repetitive Repeat or PingPong\n\n\t\t\tif ( loopCount === - 1 ) {\n\n\t\t\t\t// just started\n\n\t\t\t\tif ( deltaTime >= 0 ) {\n\n\t\t\t\t\tloopCount = 0;\n\n\t\t\t\t\tthis._setEndings( true, this.repetitions === 0, pingPong );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// when looping in reverse direction, the initial\n\t\t\t\t\t// transition through zero counts as a repetition,\n\t\t\t\t\t// so leave loopCount at -1\n\n\t\t\t\t\tthis._setEndings( this.repetitions === 0, true, pingPong );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( time >= duration || time < 0 ) {\n\n\t\t\t\t// wrap around\n\n\t\t\t\tconst loopDelta = Math.floor( time / duration ); // signed\n\t\t\t\ttime -= duration * loopDelta;\n\n\t\t\t\tloopCount += Math.abs( loopDelta );\n\n\t\t\t\tconst pending = this.repetitions - loopCount;\n\n\t\t\t\tif ( pending <= 0 ) {\n\n\t\t\t\t\t// have to stop (switch state, clamp time, fire event)\n\n\t\t\t\t\tif ( this.clampWhenFinished ) this.paused = true;\n\t\t\t\t\telse this.enabled = false;\n\n\t\t\t\t\ttime = deltaTime > 0 ? duration : 0;\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\t\ttype: 'finished', action: this,\n\t\t\t\t\t\tdirection: deltaTime > 0 ? 1 : - 1\n\t\t\t\t\t} );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// keep running\n\n\t\t\t\t\tif ( pending === 1 ) {\n\n\t\t\t\t\t\t// entering the last round\n\n\t\t\t\t\t\tconst atStart = deltaTime < 0;\n\t\t\t\t\t\tthis._setEndings( atStart, ! atStart, pingPong );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthis._setEndings( false, false, pingPong );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tthis._loopCount = loopCount;\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\t\ttype: 'loop', action: this, loopDelta: loopDelta\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tthis.time = time;\n\n\t\t\t}\n\n\t\t\tif ( pingPong && ( loopCount & 1 ) === 1 ) {\n\n\t\t\t\t// invert time for the \"pong round\"\n\n\t\t\t\treturn duration - time;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn time;\n\n\t}\n\n\t_setEndings( atStart, atEnd, pingPong ) {\n\n\t\tconst settings = this._interpolantSettings;\n\n\t\tif ( pingPong ) {\n\n\t\t\tsettings.endingStart = ZeroSlopeEnding;\n\t\t\tsettings.endingEnd = ZeroSlopeEnding;\n\n\t\t} else {\n\n\t\t\t// assuming for LoopOnce atStart == atEnd == true\n\n\t\t\tif ( atStart ) {\n\n\t\t\t\tsettings.endingStart = this.zeroSlopeAtStart ? ZeroSlopeEnding : ZeroCurvatureEnding;\n\n\t\t\t} else {\n\n\t\t\t\tsettings.endingStart = WrapAroundEnding;\n\n\t\t\t}\n\n\t\t\tif ( atEnd ) {\n\n\t\t\t\tsettings.endingEnd = this.zeroSlopeAtEnd ? ZeroSlopeEnding : ZeroCurvatureEnding;\n\n\t\t\t} else {\n\n\t\t\t\tsettings.endingEnd \t = WrapAroundEnding;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_scheduleFading( duration, weightNow, weightThen ) {\n\n\t\tconst mixer = this._mixer, now = mixer.time;\n\t\tlet interpolant = this._weightInterpolant;\n\n\t\tif ( interpolant === null ) {\n\n\t\t\tinterpolant = mixer._lendControlInterpolant();\n\t\t\tthis._weightInterpolant = interpolant;\n\n\t\t}\n\n\t\tconst times = interpolant.parameterPositions,\n\t\t\tvalues = interpolant.sampleValues;\n\n\t\ttimes[ 0 ] = now;\n\t\tvalues[ 0 ] = weightNow;\n\t\ttimes[ 1 ] = now + duration;\n\t\tvalues[ 1 ] = weightThen;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _controlInterpolantsResultBuffer = new Float32Array( 1 );\n\n\nclass AnimationMixer extends EventDispatcher {\n\n\tconstructor( root ) {\n\n\t\tsuper();\n\n\t\tthis._root = root;\n\t\tthis._initMemoryManager();\n\t\tthis._accuIndex = 0;\n\t\tthis.time = 0;\n\t\tthis.timeScale = 1.0;\n\n\t}\n\n\t_bindAction( action, prototypeAction ) {\n\n\t\tconst root = action._localRoot || this._root,\n\t\t\ttracks = action._clip.tracks,\n\t\t\tnTracks = tracks.length,\n\t\t\tbindings = action._propertyBindings,\n\t\t\tinterpolants = action._interpolants,\n\t\t\trootUuid = root.uuid,\n\t\t\tbindingsByRoot = this._bindingsByRootAndName;\n\n\t\tlet bindingsByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingsByName === undefined ) {\n\n\t\t\tbindingsByName = {};\n\t\t\tbindingsByRoot[ rootUuid ] = bindingsByName;\n\n\t\t}\n\n\t\tfor ( let i = 0; i !== nTracks; ++ i ) {\n\n\t\t\tconst track = tracks[ i ],\n\t\t\t\ttrackName = track.name;\n\n\t\t\tlet binding = bindingsByName[ trackName ];\n\n\t\t\tif ( binding !== undefined ) {\n\n\t\t\t\t++ binding.referenceCount;\n\t\t\t\tbindings[ i ] = binding;\n\n\t\t\t} else {\n\n\t\t\t\tbinding = bindings[ i ];\n\n\t\t\t\tif ( binding !== undefined ) {\n\n\t\t\t\t\t// existing binding, make sure the cache knows\n\n\t\t\t\t\tif ( binding._cacheIndex === null ) {\n\n\t\t\t\t\t\t++ binding.referenceCount;\n\t\t\t\t\t\tthis._addInactiveBinding( binding, rootUuid, trackName );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcontinue;\n\n\t\t\t\t}\n\n\t\t\t\tconst path = prototypeAction && prototypeAction.\n\t\t\t\t\t_propertyBindings[ i ].binding.parsedPath;\n\n\t\t\t\tbinding = new PropertyMixer(\n\t\t\t\t\tPropertyBinding.create( root, trackName, path ),\n\t\t\t\t\ttrack.ValueTypeName, track.getValueSize() );\n\n\t\t\t\t++ binding.referenceCount;\n\t\t\t\tthis._addInactiveBinding( binding, rootUuid, trackName );\n\n\t\t\t\tbindings[ i ] = binding;\n\n\t\t\t}\n\n\t\t\tinterpolants[ i ].resultBuffer = binding.buffer;\n\n\t\t}\n\n\t}\n\n\t_activateAction( action ) {\n\n\t\tif ( ! this._isActiveAction( action ) ) {\n\n\t\t\tif ( action._cacheIndex === null ) {\n\n\t\t\t\t// this action has been forgotten by the cache, but the user\n\t\t\t\t// appears to be still using it -> rebind\n\n\t\t\t\tconst rootUuid = ( action._localRoot || this._root ).uuid,\n\t\t\t\t\tclipUuid = action._clip.uuid,\n\t\t\t\t\tactionsForClip = this._actionsByClip[ clipUuid ];\n\n\t\t\t\tthis._bindAction( action,\n\t\t\t\t\tactionsForClip && actionsForClip.knownActions[ 0 ] );\n\n\t\t\t\tthis._addInactiveAction( action, clipUuid, rootUuid );\n\n\t\t\t}\n\n\t\t\tconst bindings = action._propertyBindings;\n\n\t\t\t// increment reference counts / sort out state\n\t\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\t\tconst binding = bindings[ i ];\n\n\t\t\t\tif ( binding.useCount ++ === 0 ) {\n\n\t\t\t\t\tthis._lendBinding( binding );\n\t\t\t\t\tbinding.saveOriginalState();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._lendAction( action );\n\n\t\t}\n\n\t}\n\n\t_deactivateAction( action ) {\n\n\t\tif ( this._isActiveAction( action ) ) {\n\n\t\t\tconst bindings = action._propertyBindings;\n\n\t\t\t// decrement reference counts / sort out state\n\t\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\t\tconst binding = bindings[ i ];\n\n\t\t\t\tif ( -- binding.useCount === 0 ) {\n\n\t\t\t\t\tbinding.restoreOriginalState();\n\t\t\t\t\tthis._takeBackBinding( binding );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._takeBackAction( action );\n\n\t\t}\n\n\t}\n\n\t// Memory manager\n\n\t_initMemoryManager() {\n\n\t\tthis._actions = []; // 'nActiveActions' followed by inactive ones\n\t\tthis._nActiveActions = 0;\n\n\t\tthis._actionsByClip = {};\n\t\t// inside:\n\t\t// {\n\t\t// \tknownActions: Array< AnimationAction > - used as prototypes\n\t\t// \tactionByRoot: AnimationAction - lookup\n\t\t// }\n\n\n\t\tthis._bindings = []; // 'nActiveBindings' followed by inactive ones\n\t\tthis._nActiveBindings = 0;\n\n\t\tthis._bindingsByRootAndName = {}; // inside: Map< name, PropertyMixer >\n\n\n\t\tthis._controlInterpolants = []; // same game as above\n\t\tthis._nActiveControlInterpolants = 0;\n\n\t\tconst scope = this;\n\n\t\tthis.stats = {\n\n\t\t\tactions: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._actions.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveActions;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tbindings: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._bindings.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveBindings;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tcontrolInterpolants: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._controlInterpolants.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveControlInterpolants;\n\n\t\t\t\t}\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\t// Memory management for AnimationAction objects\n\n\t_isActiveAction( action ) {\n\n\t\tconst index = action._cacheIndex;\n\t\treturn index !== null && index < this._nActiveActions;\n\n\t}\n\n\t_addInactiveAction( action, clipUuid, rootUuid ) {\n\n\t\tconst actions = this._actions,\n\t\t\tactionsByClip = this._actionsByClip;\n\n\t\tlet actionsForClip = actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip === undefined ) {\n\n\t\t\tactionsForClip = {\n\n\t\t\t\tknownActions: [ action ],\n\t\t\t\tactionByRoot: {}\n\n\t\t\t};\n\n\t\t\taction._byClipCacheIndex = 0;\n\n\t\t\tactionsByClip[ clipUuid ] = actionsForClip;\n\n\t\t} else {\n\n\t\t\tconst knownActions = actionsForClip.knownActions;\n\n\t\t\taction._byClipCacheIndex = knownActions.length;\n\t\t\tknownActions.push( action );\n\n\t\t}\n\n\t\taction._cacheIndex = actions.length;\n\t\tactions.push( action );\n\n\t\tactionsForClip.actionByRoot[ rootUuid ] = action;\n\n\t}\n\n\t_removeInactiveAction( action ) {\n\n\t\tconst actions = this._actions,\n\t\t\tlastInactiveAction = actions[ actions.length - 1 ],\n\t\t\tcacheIndex = action._cacheIndex;\n\n\t\tlastInactiveAction._cacheIndex = cacheIndex;\n\t\tactions[ cacheIndex ] = lastInactiveAction;\n\t\tactions.pop();\n\n\t\taction._cacheIndex = null;\n\n\n\t\tconst clipUuid = action._clip.uuid,\n\t\t\tactionsByClip = this._actionsByClip,\n\t\t\tactionsForClip = actionsByClip[ clipUuid ],\n\t\t\tknownActionsForClip = actionsForClip.knownActions,\n\n\t\t\tlastKnownAction =\n\t\t\t\tknownActionsForClip[ knownActionsForClip.length - 1 ],\n\n\t\t\tbyClipCacheIndex = action._byClipCacheIndex;\n\n\t\tlastKnownAction._byClipCacheIndex = byClipCacheIndex;\n\t\tknownActionsForClip[ byClipCacheIndex ] = lastKnownAction;\n\t\tknownActionsForClip.pop();\n\n\t\taction._byClipCacheIndex = null;\n\n\n\t\tconst actionByRoot = actionsForClip.actionByRoot,\n\t\t\trootUuid = ( action._localRoot || this._root ).uuid;\n\n\t\tdelete actionByRoot[ rootUuid ];\n\n\t\tif ( knownActionsForClip.length === 0 ) {\n\n\t\t\tdelete actionsByClip[ clipUuid ];\n\n\t\t}\n\n\t\tthis._removeInactiveBindingsForAction( action );\n\n\t}\n\n\t_removeInactiveBindingsForAction( action ) {\n\n\t\tconst bindings = action._propertyBindings;\n\n\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tconst binding = bindings[ i ];\n\n\t\t\tif ( -- binding.referenceCount === 0 ) {\n\n\t\t\t\tthis._removeInactiveBinding( binding );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_lendAction( action ) {\n\n\t\t// [ active actions | inactive actions ]\n\t\t// [ active actions >| inactive actions ]\n\t\t// s a\n\t\t// <-swap->\n\t\t// a s\n\n\t\tconst actions = this._actions,\n\t\t\tprevIndex = action._cacheIndex,\n\n\t\t\tlastActiveIndex = this._nActiveActions ++,\n\n\t\t\tfirstInactiveAction = actions[ lastActiveIndex ];\n\n\t\taction._cacheIndex = lastActiveIndex;\n\t\tactions[ lastActiveIndex ] = action;\n\n\t\tfirstInactiveAction._cacheIndex = prevIndex;\n\t\tactions[ prevIndex ] = firstInactiveAction;\n\n\t}\n\n\t_takeBackAction( action ) {\n\n\t\t// [ active actions | inactive actions ]\n\t\t// [ active actions |< inactive actions ]\n\t\t// a s\n\t\t// <-swap->\n\t\t// s a\n\n\t\tconst actions = this._actions,\n\t\t\tprevIndex = action._cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveActions,\n\n\t\t\tlastActiveAction = actions[ firstInactiveIndex ];\n\n\t\taction._cacheIndex = firstInactiveIndex;\n\t\tactions[ firstInactiveIndex ] = action;\n\n\t\tlastActiveAction._cacheIndex = prevIndex;\n\t\tactions[ prevIndex ] = lastActiveAction;\n\n\t}\n\n\t// Memory management for PropertyMixer objects\n\n\t_addInactiveBinding( binding, rootUuid, trackName ) {\n\n\t\tconst bindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindings = this._bindings;\n\n\t\tlet bindingByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingByName === undefined ) {\n\n\t\t\tbindingByName = {};\n\t\t\tbindingsByRoot[ rootUuid ] = bindingByName;\n\n\t\t}\n\n\t\tbindingByName[ trackName ] = binding;\n\n\t\tbinding._cacheIndex = bindings.length;\n\t\tbindings.push( binding );\n\n\t}\n\n\t_removeInactiveBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tpropBinding = binding.binding,\n\t\t\trootUuid = propBinding.rootNode.uuid,\n\t\t\ttrackName = propBinding.path,\n\t\t\tbindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindingByName = bindingsByRoot[ rootUuid ],\n\n\t\t\tlastInactiveBinding = bindings[ bindings.length - 1 ],\n\t\t\tcacheIndex = binding._cacheIndex;\n\n\t\tlastInactiveBinding._cacheIndex = cacheIndex;\n\t\tbindings[ cacheIndex ] = lastInactiveBinding;\n\t\tbindings.pop();\n\n\t\tdelete bindingByName[ trackName ];\n\n\t\tif ( Object.keys( bindingByName ).length === 0 ) {\n\n\t\t\tdelete bindingsByRoot[ rootUuid ];\n\n\t\t}\n\n\t}\n\n\t_lendBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tprevIndex = binding._cacheIndex,\n\n\t\t\tlastActiveIndex = this._nActiveBindings ++,\n\n\t\t\tfirstInactiveBinding = bindings[ lastActiveIndex ];\n\n\t\tbinding._cacheIndex = lastActiveIndex;\n\t\tbindings[ lastActiveIndex ] = binding;\n\n\t\tfirstInactiveBinding._cacheIndex = prevIndex;\n\t\tbindings[ prevIndex ] = firstInactiveBinding;\n\n\t}\n\n\t_takeBackBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tprevIndex = binding._cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveBindings,\n\n\t\t\tlastActiveBinding = bindings[ firstInactiveIndex ];\n\n\t\tbinding._cacheIndex = firstInactiveIndex;\n\t\tbindings[ firstInactiveIndex ] = binding;\n\n\t\tlastActiveBinding._cacheIndex = prevIndex;\n\t\tbindings[ prevIndex ] = lastActiveBinding;\n\n\t}\n\n\n\t// Memory management of Interpolants for weight and time scale\n\n\t_lendControlInterpolant() {\n\n\t\tconst interpolants = this._controlInterpolants,\n\t\t\tlastActiveIndex = this._nActiveControlInterpolants ++;\n\n\t\tlet interpolant = interpolants[ lastActiveIndex ];\n\n\t\tif ( interpolant === undefined ) {\n\n\t\t\tinterpolant = new LinearInterpolant(\n\t\t\t\tnew Float32Array( 2 ), new Float32Array( 2 ),\n\t\t\t\t1, _controlInterpolantsResultBuffer );\n\n\t\t\tinterpolant.__cacheIndex = lastActiveIndex;\n\t\t\tinterpolants[ lastActiveIndex ] = interpolant;\n\n\t\t}\n\n\t\treturn interpolant;\n\n\t}\n\n\t_takeBackControlInterpolant( interpolant ) {\n\n\t\tconst interpolants = this._controlInterpolants,\n\t\t\tprevIndex = interpolant.__cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveControlInterpolants,\n\n\t\t\tlastActiveInterpolant = interpolants[ firstInactiveIndex ];\n\n\t\tinterpolant.__cacheIndex = firstInactiveIndex;\n\t\tinterpolants[ firstInactiveIndex ] = interpolant;\n\n\t\tlastActiveInterpolant.__cacheIndex = prevIndex;\n\t\tinterpolants[ prevIndex ] = lastActiveInterpolant;\n\n\t}\n\n\t// return an action for a clip optionally using a custom root target\n\t// object (this method allocates a lot of dynamic memory in case a\n\t// previously unknown clip/root combination is specified)\n\tclipAction( clip, optionalRoot, blendMode ) {\n\n\t\tconst root = optionalRoot || this._root,\n\t\t\trootUuid = root.uuid;\n\n\t\tlet clipObject = typeof clip === 'string' ? AnimationClip.findByName( root, clip ) : clip;\n\n\t\tconst clipUuid = clipObject !== null ? clipObject.uuid : clip;\n\n\t\tconst actionsForClip = this._actionsByClip[ clipUuid ];\n\t\tlet prototypeAction = null;\n\n\t\tif ( blendMode === undefined ) {\n\n\t\t\tif ( clipObject !== null ) {\n\n\t\t\t\tblendMode = clipObject.blendMode;\n\n\t\t\t} else {\n\n\t\t\t\tblendMode = NormalAnimationBlendMode;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\tconst existingAction = actionsForClip.actionByRoot[ rootUuid ];\n\n\t\t\tif ( existingAction !== undefined && existingAction.blendMode === blendMode ) {\n\n\t\t\t\treturn existingAction;\n\n\t\t\t}\n\n\t\t\t// we know the clip, so we don't have to parse all\n\t\t\t// the bindings again but can just copy\n\t\t\tprototypeAction = actionsForClip.knownActions[ 0 ];\n\n\t\t\t// also, take the clip from the prototype action\n\t\t\tif ( clipObject === null )\n\t\t\t\tclipObject = prototypeAction._clip;\n\n\t\t}\n\n\t\t// clip must be known when specified via string\n\t\tif ( clipObject === null ) return null;\n\n\t\t// allocate all resources required to run it\n\t\tconst newAction = new AnimationAction( this, clipObject, optionalRoot, blendMode );\n\n\t\tthis._bindAction( newAction, prototypeAction );\n\n\t\t// and make the action known to the memory manager\n\t\tthis._addInactiveAction( newAction, clipUuid, rootUuid );\n\n\t\treturn newAction;\n\n\t}\n\n\t// get an existing action\n\texistingAction( clip, optionalRoot ) {\n\n\t\tconst root = optionalRoot || this._root,\n\t\t\trootUuid = root.uuid,\n\n\t\t\tclipObject = typeof clip === 'string' ?\n\t\t\t\tAnimationClip.findByName( root, clip ) : clip,\n\n\t\t\tclipUuid = clipObject ? clipObject.uuid : clip,\n\n\t\t\tactionsForClip = this._actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\treturn actionsForClip.actionByRoot[ rootUuid ] || null;\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\t// deactivates all previously scheduled actions\n\tstopAllAction() {\n\n\t\tconst actions = this._actions,\n\t\t\tnActions = this._nActiveActions;\n\n\t\tfor ( let i = nActions - 1; i >= 0; -- i ) {\n\n\t\t\tactions[ i ].stop();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// advance the time and update apply the animation\n\tupdate( deltaTime ) {\n\n\t\tdeltaTime *= this.timeScale;\n\n\t\tconst actions = this._actions,\n\t\t\tnActions = this._nActiveActions,\n\n\t\t\ttime = this.time += deltaTime,\n\t\t\ttimeDirection = Math.sign( deltaTime ),\n\n\t\t\taccuIndex = this._accuIndex ^= 1;\n\n\t\t// run active actions\n\n\t\tfor ( let i = 0; i !== nActions; ++ i ) {\n\n\t\t\tconst action = actions[ i ];\n\n\t\t\taction._update( time, deltaTime, timeDirection, accuIndex );\n\n\t\t}\n\n\t\t// update scene graph\n\n\t\tconst bindings = this._bindings,\n\t\t\tnBindings = this._nActiveBindings;\n\n\t\tfor ( let i = 0; i !== nBindings; ++ i ) {\n\n\t\t\tbindings[ i ].apply( accuIndex );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Allows you to seek to a specific time in an animation.\n\tsetTime( timeInSeconds ) {\n\n\t\tthis.time = 0; // Zero out time attribute for AnimationMixer object;\n\t\tfor ( let i = 0; i < this._actions.length; i ++ ) {\n\n\t\t\tthis._actions[ i ].time = 0; // Zero out time attribute for all associated AnimationAction objects.\n\n\t\t}\n\n\t\treturn this.update( timeInSeconds ); // Update used to set exact time. Returns \"this\" AnimationMixer object.\n\n\t}\n\n\t// return this mixer's root target object\n\tgetRoot() {\n\n\t\treturn this._root;\n\n\t}\n\n\t// free all resources specific to a particular clip\n\tuncacheClip( clip ) {\n\n\t\tconst actions = this._actions,\n\t\t\tclipUuid = clip.uuid,\n\t\t\tactionsByClip = this._actionsByClip,\n\t\t\tactionsForClip = actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\t// note: just calling _removeInactiveAction would mess up the\n\t\t\t// iteration state and also require updating the state we can\n\t\t\t// just throw away\n\n\t\t\tconst actionsToRemove = actionsForClip.knownActions;\n\n\t\t\tfor ( let i = 0, n = actionsToRemove.length; i !== n; ++ i ) {\n\n\t\t\t\tconst action = actionsToRemove[ i ];\n\n\t\t\t\tthis._deactivateAction( action );\n\n\t\t\t\tconst cacheIndex = action._cacheIndex,\n\t\t\t\t\tlastInactiveAction = actions[ actions.length - 1 ];\n\n\t\t\t\taction._cacheIndex = null;\n\t\t\t\taction._byClipCacheIndex = null;\n\n\t\t\t\tlastInactiveAction._cacheIndex = cacheIndex;\n\t\t\t\tactions[ cacheIndex ] = lastInactiveAction;\n\t\t\t\tactions.pop();\n\n\t\t\t\tthis._removeInactiveBindingsForAction( action );\n\n\t\t\t}\n\n\t\t\tdelete actionsByClip[ clipUuid ];\n\n\t\t}\n\n\t}\n\n\t// free all resources specific to a particular root target object\n\tuncacheRoot( root ) {\n\n\t\tconst rootUuid = root.uuid,\n\t\t\tactionsByClip = this._actionsByClip;\n\n\t\tfor ( const clipUuid in actionsByClip ) {\n\n\t\t\tconst actionByRoot = actionsByClip[ clipUuid ].actionByRoot,\n\t\t\t\taction = actionByRoot[ rootUuid ];\n\n\t\t\tif ( action !== undefined ) {\n\n\t\t\t\tthis._deactivateAction( action );\n\t\t\t\tthis._removeInactiveAction( action );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst bindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindingByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingByName !== undefined ) {\n\n\t\t\tfor ( const trackName in bindingByName ) {\n\n\t\t\t\tconst binding = bindingByName[ trackName ];\n\t\t\t\tbinding.restoreOriginalState();\n\t\t\t\tthis._removeInactiveBinding( binding );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t// remove a targeted clip from the cache\n\tuncacheAction( clip, optionalRoot ) {\n\n\t\tconst action = this.existingAction( clip, optionalRoot );\n\n\t\tif ( action !== null ) {\n\n\t\t\tthis._deactivateAction( action );\n\t\t\tthis._removeInactiveAction( action );\n\n\t\t}\n\n\t}\n\n}\n\nclass Uniform {\n\n\tconstructor( value ) {\n\n\t\tthis.value = value;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Uniform( this.value.clone === undefined ? this.value : this.value.clone() );\n\n\t}\n\n}\n\nlet _id = 0;\n\nclass UniformsGroup extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isUniformsGroup = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _id ++ } );\n\n\t\tthis.name = '';\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis.uniforms = [];\n\n\t}\n\n\tadd( uniform ) {\n\n\t\tthis.uniforms.push( uniform );\n\n\t\treturn this;\n\n\t}\n\n\tremove( uniform ) {\n\n\t\tconst index = this.uniforms.indexOf( uniform );\n\n\t\tif ( index !== - 1 ) this.uniforms.splice( index, 1 );\n\n\t\treturn this;\n\n\t}\n\n\tsetName( name ) {\n\n\t\tthis.name = name;\n\n\t\treturn this;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\t\tthis.usage = source.usage;\n\n\t\tconst uniformsSource = source.uniforms;\n\n\t\tthis.uniforms.length = 0;\n\n\t\tfor ( let i = 0, l = uniformsSource.length; i < l; i ++ ) {\n\n\t\t\tconst uniforms = Array.isArray( uniformsSource[ i ] ) ? uniformsSource[ i ] : [ uniformsSource[ i ] ];\n\n\t\t\tfor ( let j = 0; j < uniforms.length; j ++ ) {\n\n\t\t\t\tthis.uniforms.push( uniforms[ j ].clone() );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass InstancedInterleavedBuffer extends InterleavedBuffer {\n\n\tconstructor( array, stride, meshPerAttribute = 1 ) {\n\n\t\tsuper( array, stride );\n\n\t\tthis.isInstancedInterleavedBuffer = true;\n\n\t\tthis.meshPerAttribute = meshPerAttribute;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.meshPerAttribute = source.meshPerAttribute;\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tconst ib = super.clone( data );\n\n\t\tib.meshPerAttribute = this.meshPerAttribute;\n\n\t\treturn ib;\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tconst json = super.toJSON( data );\n\n\t\tjson.isInstancedInterleavedBuffer = true;\n\t\tjson.meshPerAttribute = this.meshPerAttribute;\n\n\t\treturn json;\n\n\t}\n\n}\n\nclass GLBufferAttribute {\n\n\tconstructor( buffer, type, itemSize, elementSize, count ) {\n\n\t\tthis.isGLBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.buffer = buffer;\n\t\tthis.type = type;\n\t\tthis.itemSize = itemSize;\n\t\tthis.elementSize = elementSize;\n\t\tthis.count = count;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tsetBuffer( buffer ) {\n\n\t\tthis.buffer = buffer;\n\n\t\treturn this;\n\n\t}\n\n\tsetType( type, elementSize ) {\n\n\t\tthis.type = type;\n\t\tthis.elementSize = elementSize;\n\n\t\treturn this;\n\n\t}\n\n\tsetItemSize( itemSize ) {\n\n\t\tthis.itemSize = itemSize;\n\n\t\treturn this;\n\n\t}\n\n\tsetCount( count ) {\n\n\t\tthis.count = count;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Raycaster {\n\n\tconstructor( origin, direction, near = 0, far = Infinity ) {\n\n\t\tthis.ray = new Ray( origin, direction );\n\t\t// direction is assumed to be normalized (for accurate distance calculations)\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\t\tthis.camera = null;\n\t\tthis.layers = new Layers();\n\n\t\tthis.params = {\n\t\t\tMesh: {},\n\t\t\tLine: { threshold: 1 },\n\t\t\tLOD: {},\n\t\t\tPoints: { threshold: 1 },\n\t\t\tSprite: {}\n\t\t};\n\n\t}\n\n\tset( origin, direction ) {\n\n\t\t// direction is assumed to be normalized (for accurate distance calculations)\n\n\t\tthis.ray.set( origin, direction );\n\n\t}\n\n\tsetFromCamera( coords, camera ) {\n\n\t\tif ( camera.isPerspectiveCamera ) {\n\n\t\t\tthis.ray.origin.setFromMatrixPosition( camera.matrixWorld );\n\t\t\tthis.ray.direction.set( coords.x, coords.y, 0.5 ).unproject( camera ).sub( this.ray.origin ).normalize();\n\t\t\tthis.camera = camera;\n\n\t\t} else if ( camera.isOrthographicCamera ) {\n\n\t\t\tthis.ray.origin.set( coords.x, coords.y, ( camera.near + camera.far ) / ( camera.near - camera.far ) ).unproject( camera ); // set origin in plane of camera\n\t\t\tthis.ray.direction.set( 0, 0, - 1 ).transformDirection( camera.matrixWorld );\n\t\t\tthis.camera = camera;\n\n\t\t} else {\n\n\t\t\tconsole.error( 'THREE.Raycaster: Unsupported camera type: ' + camera.type );\n\n\t\t}\n\n\t}\n\n\tintersectObject( object, recursive = true, intersects = [] ) {\n\n\t\tintersectObject( object, this, intersects, recursive );\n\n\t\tintersects.sort( ascSort );\n\n\t\treturn intersects;\n\n\t}\n\n\tintersectObjects( objects, recursive = true, intersects = [] ) {\n\n\t\tfor ( let i = 0, l = objects.length; i < l; i ++ ) {\n\n\t\t\tintersectObject( objects[ i ], this, intersects, recursive );\n\n\t\t}\n\n\t\tintersects.sort( ascSort );\n\n\t\treturn intersects;\n\n\t}\n\n}\n\nfunction ascSort( a, b ) {\n\n\treturn a.distance - b.distance;\n\n}\n\nfunction intersectObject( object, raycaster, intersects, recursive ) {\n\n\tif ( object.layers.test( raycaster.layers ) ) {\n\n\t\tobject.raycast( raycaster, intersects );\n\n\t}\n\n\tif ( recursive === true ) {\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tintersectObject( children[ i ], raycaster, intersects, true );\n\n\t\t}\n\n\t}\n\n}\n\n/**\n * Ref: https://en.wikipedia.org/wiki/Spherical_coordinate_system\n *\n * The polar angle (phi) is measured from the positive y-axis. The positive y-axis is up.\n * The azimuthal angle (theta) is measured from the positive z-axis.\n */\n\n\nclass Spherical {\n\n\tconstructor( radius = 1, phi = 0, theta = 0 ) {\n\n\t\tthis.radius = radius;\n\t\tthis.phi = phi; // polar angle\n\t\tthis.theta = theta; // azimuthal angle\n\n\t\treturn this;\n\n\t}\n\n\tset( radius, phi, theta ) {\n\n\t\tthis.radius = radius;\n\t\tthis.phi = phi;\n\t\tthis.theta = theta;\n\n\t\treturn this;\n\n\t}\n\n\tcopy( other ) {\n\n\t\tthis.radius = other.radius;\n\t\tthis.phi = other.phi;\n\t\tthis.theta = other.theta;\n\n\t\treturn this;\n\n\t}\n\n\t// restrict phi to be between EPS and PI-EPS\n\tmakeSafe() {\n\n\t\tconst EPS = 0.000001;\n\t\tthis.phi = Math.max( EPS, Math.min( Math.PI - EPS, this.phi ) );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\treturn this.setFromCartesianCoords( v.x, v.y, v.z );\n\n\t}\n\n\tsetFromCartesianCoords( x, y, z ) {\n\n\t\tthis.radius = Math.sqrt( x * x + y * y + z * z );\n\n\t\tif ( this.radius === 0 ) {\n\n\t\t\tthis.theta = 0;\n\t\t\tthis.phi = 0;\n\n\t\t} else {\n\n\t\t\tthis.theta = Math.atan2( x, z );\n\t\t\tthis.phi = Math.acos( clamp( y / this.radius, - 1, 1 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\n/**\n * Ref: https://en.wikipedia.org/wiki/Cylindrical_coordinate_system\n */\n\nclass Cylindrical {\n\n\tconstructor( radius = 1, theta = 0, y = 0 ) {\n\n\t\tthis.radius = radius; // distance from the origin to a point in the x-z plane\n\t\tthis.theta = theta; // counterclockwise angle in the x-z plane measured in radians from the positive z-axis\n\t\tthis.y = y; // height above the x-z plane\n\n\t\treturn this;\n\n\t}\n\n\tset( radius, theta, y ) {\n\n\t\tthis.radius = radius;\n\t\tthis.theta = theta;\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tcopy( other ) {\n\n\t\tthis.radius = other.radius;\n\t\tthis.theta = other.theta;\n\t\tthis.y = other.y;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\treturn this.setFromCartesianCoords( v.x, v.y, v.z );\n\n\t}\n\n\tsetFromCartesianCoords( x, y, z ) {\n\n\t\tthis.radius = Math.sqrt( x * x + z * z );\n\t\tthis.theta = Math.atan2( x, z );\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$4 = /*@__PURE__*/ new Vector2();\n\nclass Box2 {\n\n\tconstructor( min = new Vector2( + Infinity, + Infinity ), max = new Vector2( - Infinity, - Infinity ) ) {\n\n\t\tthis.isBox2 = true;\n\n\t\tthis.min = min;\n\t\tthis.max = max;\n\n\t}\n\n\tset( min, max ) {\n\n\t\tthis.min.copy( min );\n\t\tthis.max.copy( max );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( points[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCenterAndSize( center, size ) {\n\n\t\tconst halfSize = _vector$4.copy( size ).multiplyScalar( 0.5 );\n\t\tthis.min.copy( center ).sub( halfSize );\n\t\tthis.max.copy( center ).add( halfSize );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( box ) {\n\n\t\tthis.min.copy( box.min );\n\t\tthis.max.copy( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.min.x = this.min.y = + Infinity;\n\t\tthis.max.x = this.max.y = - Infinity;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\t// this is a more robust check for empty than ( volume <= 0 ) because volume can get positive with two negative axes\n\n\t\treturn ( this.max.x < this.min.x ) || ( this.max.y < this.min.y );\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0 ) : target.addVectors( this.min, this.max ).multiplyScalar( 0.5 );\n\n\t}\n\n\tgetSize( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0 ) : target.subVectors( this.max, this.min );\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tthis.min.min( point );\n\t\tthis.max.max( point );\n\n\t\treturn this;\n\n\t}\n\n\texpandByVector( vector ) {\n\n\t\tthis.min.sub( vector );\n\t\tthis.max.add( vector );\n\n\t\treturn this;\n\n\t}\n\n\texpandByScalar( scalar ) {\n\n\t\tthis.min.addScalar( - scalar );\n\t\tthis.max.addScalar( scalar );\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn point.x < this.min.x || point.x > this.max.x ||\n\t\t\tpoint.y < this.min.y || point.y > this.max.y ? false : true;\n\n\t}\n\n\tcontainsBox( box ) {\n\n\t\treturn this.min.x <= box.min.x && box.max.x <= this.max.x &&\n\t\t\tthis.min.y <= box.min.y && box.max.y <= this.max.y;\n\n\t}\n\n\tgetParameter( point, target ) {\n\n\t\t// This can potentially have a divide by zero if the box\n\t\t// has a size dimension of 0.\n\n\t\treturn target.set(\n\t\t\t( point.x - this.min.x ) / ( this.max.x - this.min.x ),\n\t\t\t( point.y - this.min.y ) / ( this.max.y - this.min.y )\n\t\t);\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\t// using 4 splitting planes to rule out intersections\n\n\t\treturn box.max.x < this.min.x || box.min.x > this.max.x ||\n\t\t\tbox.max.y < this.min.y || box.min.y > this.max.y ? false : true;\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\treturn target.copy( point ).clamp( this.min, this.max );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.clampPoint( point, _vector$4 ).distanceTo( point );\n\n\t}\n\n\tintersect( box ) {\n\n\t\tthis.min.max( box.min );\n\t\tthis.max.min( box.max );\n\n\t\tif ( this.isEmpty() ) this.makeEmpty();\n\n\t\treturn this;\n\n\t}\n\n\tunion( box ) {\n\n\t\tthis.min.min( box.min );\n\t\tthis.max.max( box.max );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.min.add( offset );\n\t\tthis.max.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\tequals( box ) {\n\n\t\treturn box.min.equals( this.min ) && box.max.equals( this.max );\n\n\t}\n\n}\n\nconst _startP = /*@__PURE__*/ new Vector3();\nconst _startEnd = /*@__PURE__*/ new Vector3();\n\nclass Line3 {\n\n\tconstructor( start = new Vector3(), end = new Vector3() ) {\n\n\t\tthis.start = start;\n\t\tthis.end = end;\n\n\t}\n\n\tset( start, end ) {\n\n\t\tthis.start.copy( start );\n\t\tthis.end.copy( end );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( line ) {\n\n\t\tthis.start.copy( line.start );\n\t\tthis.end.copy( line.end );\n\n\t\treturn this;\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn target.addVectors( this.start, this.end ).multiplyScalar( 0.5 );\n\n\t}\n\n\tdelta( target ) {\n\n\t\treturn target.subVectors( this.end, this.start );\n\n\t}\n\n\tdistanceSq() {\n\n\t\treturn this.start.distanceToSquared( this.end );\n\n\t}\n\n\tdistance() {\n\n\t\treturn this.start.distanceTo( this.end );\n\n\t}\n\n\tat( t, target ) {\n\n\t\treturn this.delta( target ).multiplyScalar( t ).add( this.start );\n\n\t}\n\n\tclosestPointToPointParameter( point, clampToLine ) {\n\n\t\t_startP.subVectors( point, this.start );\n\t\t_startEnd.subVectors( this.end, this.start );\n\n\t\tconst startEnd2 = _startEnd.dot( _startEnd );\n\t\tconst startEnd_startP = _startEnd.dot( _startP );\n\n\t\tlet t = startEnd_startP / startEnd2;\n\n\t\tif ( clampToLine ) {\n\n\t\t\tt = clamp( t, 0, 1 );\n\n\t\t}\n\n\t\treturn t;\n\n\t}\n\n\tclosestPointToPoint( point, clampToLine, target ) {\n\n\t\tconst t = this.closestPointToPointParameter( point, clampToLine );\n\n\t\treturn this.delta( target ).multiplyScalar( t ).add( this.start );\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tthis.start.applyMatrix4( matrix );\n\t\tthis.end.applyMatrix4( matrix );\n\n\t\treturn this;\n\n\t}\n\n\tequals( line ) {\n\n\t\treturn line.start.equals( this.start ) && line.end.equals( this.end );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$3 = /*@__PURE__*/ new Vector3();\n\nclass SpotLightHelper extends Object3D {\n\n\tconstructor( light, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'SpotLightHelper';\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tconst positions = [\n\t\t\t0, 0, 0, \t0, 0, 1,\n\t\t\t0, 0, 0, \t1, 0, 1,\n\t\t\t0, 0, 0,\t- 1, 0, 1,\n\t\t\t0, 0, 0, \t0, 1, 1,\n\t\t\t0, 0, 0, \t0, - 1, 1\n\t\t];\n\n\t\tfor ( let i = 0, j = 1, l = 32; i < l; i ++, j ++ ) {\n\n\t\t\tconst p1 = ( i / l ) * Math.PI * 2;\n\t\t\tconst p2 = ( j / l ) * Math.PI * 2;\n\n\t\t\tpositions.push(\n\t\t\t\tMath.cos( p1 ), Math.sin( p1 ), 1,\n\t\t\t\tMath.cos( p2 ), Math.sin( p2 ), 1\n\t\t\t);\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { fog: false, toneMapped: false } );\n\n\t\tthis.cone = new LineSegments( geometry, material );\n\t\tthis.add( this.cone );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.cone.geometry.dispose();\n\t\tthis.cone.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\t\tthis.light.target.updateWorldMatrix( true, false );\n\n\t\tconst coneLength = this.light.distance ? this.light.distance : 1000;\n\t\tconst coneWidth = coneLength * Math.tan( this.light.angle );\n\n\t\tthis.cone.scale.set( coneWidth, coneWidth, coneLength );\n\n\t\t_vector$3.setFromMatrixPosition( this.light.target.matrixWorld );\n\n\t\tthis.cone.lookAt( _vector$3 );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.cone.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.cone.material.color.copy( this.light.color );\n\n\t\t}\n\n\t}\n\n}\n\nconst _vector$2 = /*@__PURE__*/ new Vector3();\nconst _boneMatrix = /*@__PURE__*/ new Matrix4();\nconst _matrixWorldInv = /*@__PURE__*/ new Matrix4();\n\n\nclass SkeletonHelper extends LineSegments {\n\n\tconstructor( object ) {\n\n\t\tconst bones = getBoneList( object );\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\tconst color1 = new Color( 0, 0, 1 );\n\t\tconst color2 = new Color( 0, 1, 0 );\n\n\t\tfor ( let i = 0; i < bones.length; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\n\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tcolors.push( color1.r, color1.g, color1.b );\n\t\t\t\tcolors.push( color2.r, color2.g, color2.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, depthTest: false, depthWrite: false, toneMapped: false, transparent: true } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isSkeletonHelper = true;\n\n\t\tthis.type = 'SkeletonHelper';\n\n\t\tthis.root = object;\n\t\tthis.bones = bones;\n\n\t\tthis.matrix = object.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tconst bones = this.bones;\n\n\t\tconst geometry = this.geometry;\n\t\tconst position = geometry.getAttribute( 'position' );\n\n\t\t_matrixWorldInv.copy( this.root.matrixWorld ).invert();\n\n\t\tfor ( let i = 0, j = 0; i < bones.length; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\n\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\t_boneMatrix.multiplyMatrices( _matrixWorldInv, bone.matrixWorld );\n\t\t\t\t_vector$2.setFromMatrixPosition( _boneMatrix );\n\t\t\t\tposition.setXYZ( j, _vector$2.x, _vector$2.y, _vector$2.z );\n\n\t\t\t\t_boneMatrix.multiplyMatrices( _matrixWorldInv, bone.parent.matrixWorld );\n\t\t\t\t_vector$2.setFromMatrixPosition( _boneMatrix );\n\t\t\t\tposition.setXYZ( j + 1, _vector$2.x, _vector$2.y, _vector$2.z );\n\n\t\t\t\tj += 2;\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.getAttribute( 'position' ).needsUpdate = true;\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\n\nfunction getBoneList( object ) {\n\n\tconst boneList = [];\n\n\tif ( object.isBone === true ) {\n\n\t\tboneList.push( object );\n\n\t}\n\n\tfor ( let i = 0; i < object.children.length; i ++ ) {\n\n\t\tboneList.push.apply( boneList, getBoneList( object.children[ i ] ) );\n\n\t}\n\n\treturn boneList;\n\n}\n\nclass PointLightHelper extends Mesh {\n\n\tconstructor( light, sphereSize, color ) {\n\n\t\tconst geometry = new SphereGeometry( sphereSize, 4, 2 );\n\t\tconst material = new MeshBasicMaterial( { wireframe: true, fog: false, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.light = light;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'PointLightHelper';\n\n\t\tthis.matrix = this.light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.update();\n\n\n\t\t/*\n\t// TODO: delete this comment?\n\tconst distanceGeometry = new THREE.IcosahedronGeometry( 1, 2 );\n\tconst distanceMaterial = new THREE.MeshBasicMaterial( { color: hexColor, fog: false, wireframe: true, opacity: 0.1, transparent: true } );\n\n\tthis.lightSphere = new THREE.Mesh( bulbGeometry, bulbMaterial );\n\tthis.lightDistance = new THREE.Mesh( distanceGeometry, distanceMaterial );\n\n\tconst d = light.distance;\n\n\tif ( d === 0.0 ) {\n\n\t\tthis.lightDistance.visible = false;\n\n\t} else {\n\n\t\tthis.lightDistance.scale.set( d, d, d );\n\n\t}\n\n\tthis.add( this.lightDistance );\n\t*/\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.material.color.copy( this.light.color );\n\n\t\t}\n\n\t\t/*\n\t\tconst d = this.light.distance;\n\n\t\tif ( d === 0.0 ) {\n\n\t\t\tthis.lightDistance.visible = false;\n\n\t\t} else {\n\n\t\t\tthis.lightDistance.visible = true;\n\t\t\tthis.lightDistance.scale.set( d, d, d );\n\n\t\t}\n\t\t*/\n\n\t}\n\n}\n\nconst _vector$1 = /*@__PURE__*/ new Vector3();\nconst _color1 = /*@__PURE__*/ new Color();\nconst _color2 = /*@__PURE__*/ new Color();\n\nclass HemisphereLightHelper extends Object3D {\n\n\tconstructor( light, size, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'HemisphereLightHelper';\n\n\t\tconst geometry = new OctahedronGeometry( size );\n\t\tgeometry.rotateY( Math.PI * 0.5 );\n\n\t\tthis.material = new MeshBasicMaterial( { wireframe: true, fog: false, toneMapped: false } );\n\t\tif ( this.color === undefined ) this.material.vertexColors = true;\n\n\t\tconst position = geometry.getAttribute( 'position' );\n\t\tconst colors = new Float32Array( position.count * 3 );\n\n\t\tgeometry.setAttribute( 'color', new BufferAttribute( colors, 3 ) );\n\n\t\tthis.add( new Mesh( geometry, this.material ) );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.children[ 0 ].geometry.dispose();\n\t\tthis.children[ 0 ].material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tconst mesh = this.children[ 0 ];\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tconst colors = mesh.geometry.getAttribute( 'color' );\n\n\t\t\t_color1.copy( this.light.color );\n\t\t\t_color2.copy( this.light.groundColor );\n\n\t\t\tfor ( let i = 0, l = colors.count; i < l; i ++ ) {\n\n\t\t\t\tconst color = ( i < ( l / 2 ) ) ? _color1 : _color2;\n\n\t\t\t\tcolors.setXYZ( i, color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t\tcolors.needsUpdate = true;\n\n\t\t}\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\n\t\tmesh.lookAt( _vector$1.setFromMatrixPosition( this.light.matrixWorld ).negate() );\n\n\t}\n\n}\n\nclass GridHelper extends LineSegments {\n\n\tconstructor( size = 10, divisions = 10, color1 = 0x444444, color2 = 0x888888 ) {\n\n\t\tcolor1 = new Color( color1 );\n\t\tcolor2 = new Color( color2 );\n\n\t\tconst center = divisions / 2;\n\t\tconst step = size / divisions;\n\t\tconst halfSize = size / 2;\n\n\t\tconst vertices = [], colors = [];\n\n\t\tfor ( let i = 0, j = 0, k = - halfSize; i <= divisions; i ++, k += step ) {\n\n\t\t\tvertices.push( - halfSize, 0, k, halfSize, 0, k );\n\t\t\tvertices.push( k, 0, - halfSize, k, 0, halfSize );\n\n\t\t\tconst color = i === center ? color1 : color2;\n\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\n\t\t}\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'GridHelper';\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass PolarGridHelper extends LineSegments {\n\n\tconstructor( radius = 10, sectors = 16, rings = 8, divisions = 64, color1 = 0x444444, color2 = 0x888888 ) {\n\n\t\tcolor1 = new Color( color1 );\n\t\tcolor2 = new Color( color2 );\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\t// create the sectors\n\n\t\tif ( sectors > 1 ) {\n\n\t\t\tfor ( let i = 0; i < sectors; i ++ ) {\n\n\t\t\t\tconst v = ( i / sectors ) * ( Math.PI * 2 );\n\n\t\t\t\tconst x = Math.sin( v ) * radius;\n\t\t\t\tconst z = Math.cos( v ) * radius;\n\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tvertices.push( x, 0, z );\n\n\t\t\t\tconst color = ( i & 1 ) ? color1 : color2;\n\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// create the rings\n\n\t\tfor ( let i = 0; i < rings; i ++ ) {\n\n\t\t\tconst color = ( i & 1 ) ? color1 : color2;\n\n\t\t\tconst r = radius - ( radius / rings * i );\n\n\t\t\tfor ( let j = 0; j < divisions; j ++ ) {\n\n\t\t\t\t// first vertex\n\n\t\t\t\tlet v = ( j / divisions ) * ( Math.PI * 2 );\n\n\t\t\t\tlet x = Math.sin( v ) * r;\n\t\t\t\tlet z = Math.cos( v ) * r;\n\n\t\t\t\tvertices.push( x, 0, z );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t\t// second vertex\n\n\t\t\t\tv = ( ( j + 1 ) / divisions ) * ( Math.PI * 2 );\n\n\t\t\t\tx = Math.sin( v ) * r;\n\t\t\t\tz = Math.cos( v ) * r;\n\n\t\t\t\tvertices.push( x, 0, z );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'PolarGridHelper';\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nconst _v1 = /*@__PURE__*/ new Vector3();\nconst _v2 = /*@__PURE__*/ new Vector3();\nconst _v3 = /*@__PURE__*/ new Vector3();\n\nclass DirectionalLightHelper extends Object3D {\n\n\tconstructor( light, size, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'DirectionalLightHelper';\n\n\t\tif ( size === undefined ) size = 1;\n\n\t\tlet geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( [\n\t\t\t- size, size, 0,\n\t\t\tsize, size, 0,\n\t\t\tsize, - size, 0,\n\t\t\t- size, - size, 0,\n\t\t\t- size, size, 0\n\t\t], 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { fog: false, toneMapped: false } );\n\n\t\tthis.lightPlane = new Line( geometry, material );\n\t\tthis.add( this.lightPlane );\n\n\t\tgeometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( [ 0, 0, 0, 0, 0, 1 ], 3 ) );\n\n\t\tthis.targetLine = new Line( geometry, material );\n\t\tthis.add( this.targetLine );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.lightPlane.geometry.dispose();\n\t\tthis.lightPlane.material.dispose();\n\t\tthis.targetLine.geometry.dispose();\n\t\tthis.targetLine.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\t\tthis.light.target.updateWorldMatrix( true, false );\n\n\t\t_v1.setFromMatrixPosition( this.light.matrixWorld );\n\t\t_v2.setFromMatrixPosition( this.light.target.matrixWorld );\n\t\t_v3.subVectors( _v2, _v1 );\n\n\t\tthis.lightPlane.lookAt( _v2 );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.lightPlane.material.color.set( this.color );\n\t\t\tthis.targetLine.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.lightPlane.material.color.copy( this.light.color );\n\t\t\tthis.targetLine.material.color.copy( this.light.color );\n\n\t\t}\n\n\t\tthis.targetLine.lookAt( _v2 );\n\t\tthis.targetLine.scale.z = _v3.length();\n\n\t}\n\n}\n\nconst _vector = /*@__PURE__*/ new Vector3();\nconst _camera = /*@__PURE__*/ new Camera();\n\n/**\n *\t- shows frustum, line of sight and up of the camera\n *\t- suitable for fast updates\n * \t- based on frustum visualization in lightgl.js shadowmap example\n *\t\thttps://github.com/evanw/lightgl.js/blob/master/tests/shadowmap.html\n */\n\nclass CameraHelper extends LineSegments {\n\n\tconstructor( camera ) {\n\n\t\tconst geometry = new BufferGeometry();\n\t\tconst material = new LineBasicMaterial( { color: 0xffffff, vertexColors: true, toneMapped: false } );\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\tconst pointMap = {};\n\n\t\t// near\n\n\t\taddLine( 'n1', 'n2' );\n\t\taddLine( 'n2', 'n4' );\n\t\taddLine( 'n4', 'n3' );\n\t\taddLine( 'n3', 'n1' );\n\n\t\t// far\n\n\t\taddLine( 'f1', 'f2' );\n\t\taddLine( 'f2', 'f4' );\n\t\taddLine( 'f4', 'f3' );\n\t\taddLine( 'f3', 'f1' );\n\n\t\t// sides\n\n\t\taddLine( 'n1', 'f1' );\n\t\taddLine( 'n2', 'f2' );\n\t\taddLine( 'n3', 'f3' );\n\t\taddLine( 'n4', 'f4' );\n\n\t\t// cone\n\n\t\taddLine( 'p', 'n1' );\n\t\taddLine( 'p', 'n2' );\n\t\taddLine( 'p', 'n3' );\n\t\taddLine( 'p', 'n4' );\n\n\t\t// up\n\n\t\taddLine( 'u1', 'u2' );\n\t\taddLine( 'u2', 'u3' );\n\t\taddLine( 'u3', 'u1' );\n\n\t\t// target\n\n\t\taddLine( 'c', 't' );\n\t\taddLine( 'p', 'c' );\n\n\t\t// cross\n\n\t\taddLine( 'cn1', 'cn2' );\n\t\taddLine( 'cn3', 'cn4' );\n\n\t\taddLine( 'cf1', 'cf2' );\n\t\taddLine( 'cf3', 'cf4' );\n\n\t\tfunction addLine( a, b ) {\n\n\t\t\taddPoint( a );\n\t\t\taddPoint( b );\n\n\t\t}\n\n\t\tfunction addPoint( id ) {\n\n\t\t\tvertices.push( 0, 0, 0 );\n\t\t\tcolors.push( 0, 0, 0 );\n\n\t\t\tif ( pointMap[ id ] === undefined ) {\n\n\t\t\t\tpointMap[ id ] = [];\n\n\t\t\t}\n\n\t\t\tpointMap[ id ].push( ( vertices.length / 3 ) - 1 );\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'CameraHelper';\n\n\t\tthis.camera = camera;\n\t\tif ( this.camera.updateProjectionMatrix ) this.camera.updateProjectionMatrix();\n\n\t\tthis.matrix = camera.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.pointMap = pointMap;\n\n\t\tthis.update();\n\n\t\t// colors\n\n\t\tconst colorFrustum = new Color( 0xffaa00 );\n\t\tconst colorCone = new Color( 0xff0000 );\n\t\tconst colorUp = new Color( 0x00aaff );\n\t\tconst colorTarget = new Color( 0xffffff );\n\t\tconst colorCross = new Color( 0x333333 );\n\n\t\tthis.setColors( colorFrustum, colorCone, colorUp, colorTarget, colorCross );\n\n\t}\n\n\tsetColors( frustum, cone, up, target, cross ) {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst colorAttribute = geometry.getAttribute( 'color' );\n\n\t\t// near\n\n\t\tcolorAttribute.setXYZ( 0, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 1, frustum.r, frustum.g, frustum.b ); // n1, n2\n\t\tcolorAttribute.setXYZ( 2, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 3, frustum.r, frustum.g, frustum.b ); // n2, n4\n\t\tcolorAttribute.setXYZ( 4, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 5, frustum.r, frustum.g, frustum.b ); // n4, n3\n\t\tcolorAttribute.setXYZ( 6, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 7, frustum.r, frustum.g, frustum.b ); // n3, n1\n\n\t\t// far\n\n\t\tcolorAttribute.setXYZ( 8, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 9, frustum.r, frustum.g, frustum.b ); // f1, f2\n\t\tcolorAttribute.setXYZ( 10, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 11, frustum.r, frustum.g, frustum.b ); // f2, f4\n\t\tcolorAttribute.setXYZ( 12, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 13, frustum.r, frustum.g, frustum.b ); // f4, f3\n\t\tcolorAttribute.setXYZ( 14, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 15, frustum.r, frustum.g, frustum.b ); // f3, f1\n\n\t\t// sides\n\n\t\tcolorAttribute.setXYZ( 16, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 17, frustum.r, frustum.g, frustum.b ); // n1, f1\n\t\tcolorAttribute.setXYZ( 18, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 19, frustum.r, frustum.g, frustum.b ); // n2, f2\n\t\tcolorAttribute.setXYZ( 20, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 21, frustum.r, frustum.g, frustum.b ); // n3, f3\n\t\tcolorAttribute.setXYZ( 22, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 23, frustum.r, frustum.g, frustum.b ); // n4, f4\n\n\t\t// cone\n\n\t\tcolorAttribute.setXYZ( 24, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 25, cone.r, cone.g, cone.b ); // p, n1\n\t\tcolorAttribute.setXYZ( 26, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 27, cone.r, cone.g, cone.b ); // p, n2\n\t\tcolorAttribute.setXYZ( 28, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 29, cone.r, cone.g, cone.b ); // p, n3\n\t\tcolorAttribute.setXYZ( 30, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 31, cone.r, cone.g, cone.b ); // p, n4\n\n\t\t// up\n\n\t\tcolorAttribute.setXYZ( 32, up.r, up.g, up.b ); colorAttribute.setXYZ( 33, up.r, up.g, up.b ); // u1, u2\n\t\tcolorAttribute.setXYZ( 34, up.r, up.g, up.b ); colorAttribute.setXYZ( 35, up.r, up.g, up.b ); // u2, u3\n\t\tcolorAttribute.setXYZ( 36, up.r, up.g, up.b ); colorAttribute.setXYZ( 37, up.r, up.g, up.b ); // u3, u1\n\n\t\t// target\n\n\t\tcolorAttribute.setXYZ( 38, target.r, target.g, target.b ); colorAttribute.setXYZ( 39, target.r, target.g, target.b ); // c, t\n\t\tcolorAttribute.setXYZ( 40, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 41, cross.r, cross.g, cross.b ); // p, c\n\n\t\t// cross\n\n\t\tcolorAttribute.setXYZ( 42, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 43, cross.r, cross.g, cross.b ); // cn1, cn2\n\t\tcolorAttribute.setXYZ( 44, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 45, cross.r, cross.g, cross.b ); // cn3, cn4\n\n\t\tcolorAttribute.setXYZ( 46, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 47, cross.r, cross.g, cross.b ); // cf1, cf2\n\t\tcolorAttribute.setXYZ( 48, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 49, cross.r, cross.g, cross.b ); // cf3, cf4\n\n\t\tcolorAttribute.needsUpdate = true;\n\n\t}\n\n\tupdate() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst pointMap = this.pointMap;\n\n\t\tconst w = 1, h = 1;\n\n\t\t// we need just camera projection matrix inverse\n\t\t// world matrix must be identity\n\n\t\t_camera.projectionMatrixInverse.copy( this.camera.projectionMatrixInverse );\n\n\t\t// center / target\n\n\t\tsetPoint( 'c', pointMap, geometry, _camera, 0, 0, - 1 );\n\t\tsetPoint( 't', pointMap, geometry, _camera, 0, 0, 1 );\n\n\t\t// near\n\n\t\tsetPoint( 'n1', pointMap, geometry, _camera, - w, - h, - 1 );\n\t\tsetPoint( 'n2', pointMap, geometry, _camera, w, - h, - 1 );\n\t\tsetPoint( 'n3', pointMap, geometry, _camera, - w, h, - 1 );\n\t\tsetPoint( 'n4', pointMap, geometry, _camera, w, h, - 1 );\n\n\t\t// far\n\n\t\tsetPoint( 'f1', pointMap, geometry, _camera, - w, - h, 1 );\n\t\tsetPoint( 'f2', pointMap, geometry, _camera, w, - h, 1 );\n\t\tsetPoint( 'f3', pointMap, geometry, _camera, - w, h, 1 );\n\t\tsetPoint( 'f4', pointMap, geometry, _camera, w, h, 1 );\n\n\t\t// up\n\n\t\tsetPoint( 'u1', pointMap, geometry, _camera, w * 0.7, h * 1.1, - 1 );\n\t\tsetPoint( 'u2', pointMap, geometry, _camera, - w * 0.7, h * 1.1, - 1 );\n\t\tsetPoint( 'u3', pointMap, geometry, _camera, 0, h * 2, - 1 );\n\n\t\t// cross\n\n\t\tsetPoint( 'cf1', pointMap, geometry, _camera, - w, 0, 1 );\n\t\tsetPoint( 'cf2', pointMap, geometry, _camera, w, 0, 1 );\n\t\tsetPoint( 'cf3', pointMap, geometry, _camera, 0, - h, 1 );\n\t\tsetPoint( 'cf4', pointMap, geometry, _camera, 0, h, 1 );\n\n\t\tsetPoint( 'cn1', pointMap, geometry, _camera, - w, 0, - 1 );\n\t\tsetPoint( 'cn2', pointMap, geometry, _camera, w, 0, - 1 );\n\t\tsetPoint( 'cn3', pointMap, geometry, _camera, 0, - h, - 1 );\n\t\tsetPoint( 'cn4', pointMap, geometry, _camera, 0, h, - 1 );\n\n\t\tgeometry.getAttribute( 'position' ).needsUpdate = true;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\n\nfunction setPoint( point, pointMap, geometry, camera, x, y, z ) {\n\n\t_vector.set( x, y, z ).unproject( camera );\n\n\tconst points = pointMap[ point ];\n\n\tif ( points !== undefined ) {\n\n\t\tconst position = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0, l = points.length; i < l; i ++ ) {\n\n\t\t\tposition.setXYZ( points[ i ], _vector.x, _vector.y, _vector.z );\n\n\t\t}\n\n\t}\n\n}\n\nconst _box = /*@__PURE__*/ new Box3();\n\nclass BoxHelper extends LineSegments {\n\n\tconstructor( object, color = 0xffff00 ) {\n\n\t\tconst indices = new Uint16Array( [ 0, 1, 1, 2, 2, 3, 3, 0, 4, 5, 5, 6, 6, 7, 7, 4, 0, 4, 1, 5, 2, 6, 3, 7 ] );\n\t\tconst positions = new Float32Array( 8 * 3 );\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setIndex( new BufferAttribute( indices, 1 ) );\n\t\tgeometry.setAttribute( 'position', new BufferAttribute( positions, 3 ) );\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.object = object;\n\t\tthis.type = 'BoxHelper';\n\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.update();\n\n\t}\n\n\tupdate( object ) {\n\n\t\tif ( object !== undefined ) {\n\n\t\t\tconsole.warn( 'THREE.BoxHelper: .update() has no longer arguments.' );\n\n\t\t}\n\n\t\tif ( this.object !== undefined ) {\n\n\t\t\t_box.setFromObject( this.object );\n\n\t\t}\n\n\t\tif ( _box.isEmpty() ) return;\n\n\t\tconst min = _box.min;\n\t\tconst max = _box.max;\n\n\t\t/*\n\t\t\t5____4\n\t\t1/___0/|\n\t\t| 6__|_7\n\t\t2/___3/\n\n\t\t0: max.x, max.y, max.z\n\t\t1: min.x, max.y, max.z\n\t\t2: min.x, min.y, max.z\n\t\t3: max.x, min.y, max.z\n\t\t4: max.x, max.y, min.z\n\t\t5: min.x, max.y, min.z\n\t\t6: min.x, min.y, min.z\n\t\t7: max.x, min.y, min.z\n\t\t*/\n\n\t\tconst position = this.geometry.attributes.position;\n\t\tconst array = position.array;\n\n\t\tarray[ 0 ] = max.x; array[ 1 ] = max.y; array[ 2 ] = max.z;\n\t\tarray[ 3 ] = min.x; array[ 4 ] = max.y; array[ 5 ] = max.z;\n\t\tarray[ 6 ] = min.x; array[ 7 ] = min.y; array[ 8 ] = max.z;\n\t\tarray[ 9 ] = max.x; array[ 10 ] = min.y; array[ 11 ] = max.z;\n\t\tarray[ 12 ] = max.x; array[ 13 ] = max.y; array[ 14 ] = min.z;\n\t\tarray[ 15 ] = min.x; array[ 16 ] = max.y; array[ 17 ] = min.z;\n\t\tarray[ 18 ] = min.x; array[ 19 ] = min.y; array[ 20 ] = min.z;\n\t\tarray[ 21 ] = max.x; array[ 22 ] = min.y; array[ 23 ] = min.z;\n\n\t\tposition.needsUpdate = true;\n\n\t\tthis.geometry.computeBoundingSphere();\n\n\t}\n\n\tsetFromObject( object ) {\n\n\t\tthis.object = object;\n\t\tthis.update();\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.object = source.object;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass Box3Helper extends LineSegments {\n\n\tconstructor( box, color = 0xffff00 ) {\n\n\t\tconst indices = new Uint16Array( [ 0, 1, 1, 2, 2, 3, 3, 0, 4, 5, 5, 6, 6, 7, 7, 4, 0, 4, 1, 5, 2, 6, 3, 7 ] );\n\n\t\tconst positions = [ 1, 1, 1, - 1, 1, 1, - 1, - 1, 1, 1, - 1, 1, 1, 1, - 1, - 1, 1, - 1, - 1, - 1, - 1, 1, - 1, - 1 ];\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tgeometry.setIndex( new BufferAttribute( indices, 1 ) );\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.box = box;\n\n\t\tthis.type = 'Box3Helper';\n\n\t\tthis.geometry.computeBoundingSphere();\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tconst box = this.box;\n\n\t\tif ( box.isEmpty() ) return;\n\n\t\tbox.getCenter( this.position );\n\n\t\tbox.getSize( this.scale );\n\n\t\tthis.scale.multiplyScalar( 0.5 );\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass PlaneHelper extends Line {\n\n\tconstructor( plane, size = 1, hex = 0xffff00 ) {\n\n\t\tconst color = hex;\n\n\t\tconst positions = [ 1, - 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, - 1, 0, 1, 1, 0 ];\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\t\tgeometry.computeBoundingSphere();\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.type = 'PlaneHelper';\n\n\t\tthis.plane = plane;\n\n\t\tthis.size = size;\n\n\t\tconst positions2 = [ 1, 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, 1, 0, - 1, - 1, 0, 1, - 1, 0 ];\n\n\t\tconst geometry2 = new BufferGeometry();\n\t\tgeometry2.setAttribute( 'position', new Float32BufferAttribute( positions2, 3 ) );\n\t\tgeometry2.computeBoundingSphere();\n\n\t\tthis.add( new Mesh( geometry2, new MeshBasicMaterial( { color: color, opacity: 0.2, transparent: true, depthWrite: false, toneMapped: false } ) ) );\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tthis.position.set( 0, 0, 0 );\n\n\t\tthis.scale.set( 0.5 * this.size, 0.5 * this.size, 1 );\n\n\t\tthis.lookAt( this.plane.normal );\n\n\t\tthis.translateZ( - this.plane.constant );\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\t\tthis.children[ 0 ].geometry.dispose();\n\t\tthis.children[ 0 ].material.dispose();\n\n\t}\n\n}\n\nconst _axis = /*@__PURE__*/ new Vector3();\nlet _lineGeometry, _coneGeometry;\n\nclass ArrowHelper extends Object3D {\n\n\t// dir is assumed to be normalized\n\n\tconstructor( dir = new Vector3( 0, 0, 1 ), origin = new Vector3( 0, 0, 0 ), length = 1, color = 0xffff00, headLength = length * 0.2, headWidth = headLength * 0.2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ArrowHelper';\n\n\t\tif ( _lineGeometry === undefined ) {\n\n\t\t\t_lineGeometry = new BufferGeometry();\n\t\t\t_lineGeometry.setAttribute( 'position', new Float32BufferAttribute( [ 0, 0, 0, 0, 1, 0 ], 3 ) );\n\n\t\t\t_coneGeometry = new CylinderGeometry( 0, 0.5, 1, 5, 1 );\n\t\t\t_coneGeometry.translate( 0, - 0.5, 0 );\n\n\t\t}\n\n\t\tthis.position.copy( origin );\n\n\t\tthis.line = new Line( _lineGeometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\t\tthis.line.matrixAutoUpdate = false;\n\t\tthis.add( this.line );\n\n\t\tthis.cone = new Mesh( _coneGeometry, new MeshBasicMaterial( { color: color, toneMapped: false } ) );\n\t\tthis.cone.matrixAutoUpdate = false;\n\t\tthis.add( this.cone );\n\n\t\tthis.setDirection( dir );\n\t\tthis.setLength( length, headLength, headWidth );\n\n\t}\n\n\tsetDirection( dir ) {\n\n\t\t// dir is assumed to be normalized\n\n\t\tif ( dir.y > 0.99999 ) {\n\n\t\t\tthis.quaternion.set( 0, 0, 0, 1 );\n\n\t\t} else if ( dir.y < - 0.99999 ) {\n\n\t\t\tthis.quaternion.set( 1, 0, 0, 0 );\n\n\t\t} else {\n\n\t\t\t_axis.set( dir.z, 0, - dir.x ).normalize();\n\n\t\t\tconst radians = Math.acos( dir.y );\n\n\t\t\tthis.quaternion.setFromAxisAngle( _axis, radians );\n\n\t\t}\n\n\t}\n\n\tsetLength( length, headLength = length * 0.2, headWidth = headLength * 0.2 ) {\n\n\t\tthis.line.scale.set( 1, Math.max( 0.0001, length - headLength ), 1 ); // see #17458\n\t\tthis.line.updateMatrix();\n\n\t\tthis.cone.scale.set( headWidth, headLength, headWidth );\n\t\tthis.cone.position.y = length;\n\t\tthis.cone.updateMatrix();\n\n\t}\n\n\tsetColor( color ) {\n\n\t\tthis.line.material.color.set( color );\n\t\tthis.cone.material.color.set( color );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source, false );\n\n\t\tthis.line.copy( source.line );\n\t\tthis.cone.copy( source.cone );\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.line.geometry.dispose();\n\t\tthis.line.material.dispose();\n\t\tthis.cone.geometry.dispose();\n\t\tthis.cone.material.dispose();\n\n\t}\n\n}\n\nclass AxesHelper extends LineSegments {\n\n\tconstructor( size = 1 ) {\n\n\t\tconst vertices = [\n\t\t\t0, 0, 0,\tsize, 0, 0,\n\t\t\t0, 0, 0,\t0, size, 0,\n\t\t\t0, 0, 0,\t0, 0, size\n\t\t];\n\n\t\tconst colors = [\n\t\t\t1, 0, 0,\t1, 0.6, 0,\n\t\t\t0, 1, 0,\t0.6, 1, 0,\n\t\t\t0, 0, 1,\t0, 0.6, 1\n\t\t];\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'AxesHelper';\n\n\t}\n\n\tsetColors( xAxisColor, yAxisColor, zAxisColor ) {\n\n\t\tconst color = new Color();\n\t\tconst array = this.geometry.attributes.color.array;\n\n\t\tcolor.set( xAxisColor );\n\t\tcolor.toArray( array, 0 );\n\t\tcolor.toArray( array, 3 );\n\n\t\tcolor.set( yAxisColor );\n\t\tcolor.toArray( array, 6 );\n\t\tcolor.toArray( array, 9 );\n\n\t\tcolor.set( zAxisColor );\n\t\tcolor.toArray( array, 12 );\n\t\tcolor.toArray( array, 15 );\n\n\t\tthis.geometry.attributes.color.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass ShapePath {\n\n\tconstructor() {\n\n\t\tthis.type = 'ShapePath';\n\n\t\tthis.color = new Color();\n\n\t\tthis.subPaths = [];\n\t\tthis.currentPath = null;\n\n\t}\n\n\tmoveTo( x, y ) {\n\n\t\tthis.currentPath = new Path();\n\t\tthis.subPaths.push( this.currentPath );\n\t\tthis.currentPath.moveTo( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tlineTo( x, y ) {\n\n\t\tthis.currentPath.lineTo( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tquadraticCurveTo( aCPx, aCPy, aX, aY ) {\n\n\t\tthis.currentPath.quadraticCurveTo( aCPx, aCPy, aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tbezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY ) {\n\n\t\tthis.currentPath.bezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tsplineThru( pts ) {\n\n\t\tthis.currentPath.splineThru( pts );\n\n\t\treturn this;\n\n\t}\n\n\ttoShapes( isCCW ) {\n\n\t\tfunction toShapesNoHoles( inSubpaths ) {\n\n\t\t\tconst shapes = [];\n\n\t\t\tfor ( let i = 0, l = inSubpaths.length; i < l; i ++ ) {\n\n\t\t\t\tconst tmpPath = inSubpaths[ i ];\n\n\t\t\t\tconst tmpShape = new Shape();\n\t\t\t\ttmpShape.curves = tmpPath.curves;\n\n\t\t\t\tshapes.push( tmpShape );\n\n\t\t\t}\n\n\t\t\treturn shapes;\n\n\t\t}\n\n\t\tfunction isPointInsidePolygon( inPt, inPolygon ) {\n\n\t\t\tconst polyLen = inPolygon.length;\n\n\t\t\t// inPt on polygon contour => immediate success or\n\t\t\t// toggling of inside/outside at every single! intersection point of an edge\n\t\t\t// with the horizontal line through inPt, left of inPt\n\t\t\t// not counting lowerY endpoints of edges and whole edges on that line\n\t\t\tlet inside = false;\n\t\t\tfor ( let p = polyLen - 1, q = 0; q < polyLen; p = q ++ ) {\n\n\t\t\t\tlet edgeLowPt = inPolygon[ p ];\n\t\t\t\tlet edgeHighPt = inPolygon[ q ];\n\n\t\t\t\tlet edgeDx = edgeHighPt.x - edgeLowPt.x;\n\t\t\t\tlet edgeDy = edgeHighPt.y - edgeLowPt.y;\n\n\t\t\t\tif ( Math.abs( edgeDy ) > Number.EPSILON ) {\n\n\t\t\t\t\t// not parallel\n\t\t\t\t\tif ( edgeDy < 0 ) {\n\n\t\t\t\t\t\tedgeLowPt = inPolygon[ q ]; edgeDx = - edgeDx;\n\t\t\t\t\t\tedgeHighPt = inPolygon[ p ]; edgeDy = - edgeDy;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ( inPt.y < edgeLowPt.y ) || ( inPt.y > edgeHighPt.y ) ) \t\tcontinue;\n\n\t\t\t\t\tif ( inPt.y === edgeLowPt.y ) {\n\n\t\t\t\t\t\tif ( inPt.x === edgeLowPt.x )\t\treturn\ttrue;\t\t// inPt is on contour ?\n\t\t\t\t\t\t// continue;\t\t\t\t// no intersection or edgeLowPt => doesn't count !!!\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst perpEdge = edgeDy * ( inPt.x - edgeLowPt.x ) - edgeDx * ( inPt.y - edgeLowPt.y );\n\t\t\t\t\t\tif ( perpEdge === 0 )\t\t\t\treturn\ttrue;\t\t// inPt is on contour ?\n\t\t\t\t\t\tif ( perpEdge < 0 ) \t\t\t\tcontinue;\n\t\t\t\t\t\tinside = ! inside;\t\t// true intersection left of inPt\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// parallel or collinear\n\t\t\t\t\tif ( inPt.y !== edgeLowPt.y ) \t\tcontinue;\t\t\t// parallel\n\t\t\t\t\t// edge lies on the same horizontal line as inPt\n\t\t\t\t\tif ( ( ( edgeHighPt.x <= inPt.x ) && ( inPt.x <= edgeLowPt.x ) ) ||\n\t\t\t\t\t\t ( ( edgeLowPt.x <= inPt.x ) && ( inPt.x <= edgeHighPt.x ) ) )\t\treturn\ttrue;\t// inPt: Point on contour !\n\t\t\t\t\t// continue;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn\tinside;\n\n\t\t}\n\n\t\tconst isClockWise = ShapeUtils.isClockWise;\n\n\t\tconst subPaths = this.subPaths;\n\t\tif ( subPaths.length === 0 ) return [];\n\n\t\tlet solid, tmpPath, tmpShape;\n\t\tconst shapes = [];\n\n\t\tif ( subPaths.length === 1 ) {\n\n\t\t\ttmpPath = subPaths[ 0 ];\n\t\t\ttmpShape = new Shape();\n\t\t\ttmpShape.curves = tmpPath.curves;\n\t\t\tshapes.push( tmpShape );\n\t\t\treturn shapes;\n\n\t\t}\n\n\t\tlet holesFirst = ! isClockWise( subPaths[ 0 ].getPoints() );\n\t\tholesFirst = isCCW ? ! holesFirst : holesFirst;\n\n\t\t// console.log(\"Holes first\", holesFirst);\n\n\t\tconst betterShapeHoles = [];\n\t\tconst newShapes = [];\n\t\tlet newShapeHoles = [];\n\t\tlet mainIdx = 0;\n\t\tlet tmpPoints;\n\n\t\tnewShapes[ mainIdx ] = undefined;\n\t\tnewShapeHoles[ mainIdx ] = [];\n\n\t\tfor ( let i = 0, l = subPaths.length; i < l; i ++ ) {\n\n\t\t\ttmpPath = subPaths[ i ];\n\t\t\ttmpPoints = tmpPath.getPoints();\n\t\t\tsolid = isClockWise( tmpPoints );\n\t\t\tsolid = isCCW ? ! solid : solid;\n\n\t\t\tif ( solid ) {\n\n\t\t\t\tif ( ( ! holesFirst ) && ( newShapes[ mainIdx ] ) )\tmainIdx ++;\n\n\t\t\t\tnewShapes[ mainIdx ] = { s: new Shape(), p: tmpPoints };\n\t\t\t\tnewShapes[ mainIdx ].s.curves = tmpPath.curves;\n\n\t\t\t\tif ( holesFirst )\tmainIdx ++;\n\t\t\t\tnewShapeHoles[ mainIdx ] = [];\n\n\t\t\t\t//console.log('cw', i);\n\n\t\t\t} else {\n\n\t\t\t\tnewShapeHoles[ mainIdx ].push( { h: tmpPath, p: tmpPoints[ 0 ] } );\n\n\t\t\t\t//console.log('ccw', i);\n\n\t\t\t}\n\n\t\t}\n\n\t\t// only Holes? -> probably all Shapes with wrong orientation\n\t\tif ( ! newShapes[ 0 ] )\treturn\ttoShapesNoHoles( subPaths );\n\n\n\t\tif ( newShapes.length > 1 ) {\n\n\t\t\tlet ambiguous = false;\n\t\t\tlet toChange = 0;\n\n\t\t\tfor ( let sIdx = 0, sLen = newShapes.length; sIdx < sLen; sIdx ++ ) {\n\n\t\t\t\tbetterShapeHoles[ sIdx ] = [];\n\n\t\t\t}\n\n\t\t\tfor ( let sIdx = 0, sLen = newShapes.length; sIdx < sLen; sIdx ++ ) {\n\n\t\t\t\tconst sho = newShapeHoles[ sIdx ];\n\n\t\t\t\tfor ( let hIdx = 0; hIdx < sho.length; hIdx ++ ) {\n\n\t\t\t\t\tconst ho = sho[ hIdx ];\n\t\t\t\t\tlet hole_unassigned = true;\n\n\t\t\t\t\tfor ( let s2Idx = 0; s2Idx < newShapes.length; s2Idx ++ ) {\n\n\t\t\t\t\t\tif ( isPointInsidePolygon( ho.p, newShapes[ s2Idx ].p ) ) {\n\n\t\t\t\t\t\t\tif ( sIdx !== s2Idx )\ttoChange ++;\n\n\t\t\t\t\t\t\tif ( hole_unassigned ) {\n\n\t\t\t\t\t\t\t\thole_unassigned = false;\n\t\t\t\t\t\t\t\tbetterShapeHoles[ s2Idx ].push( ho );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tambiguous = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( hole_unassigned ) {\n\n\t\t\t\t\t\tbetterShapeHoles[ sIdx ].push( ho );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( toChange > 0 && ambiguous === false ) {\n\n\t\t\t\tnewShapeHoles = betterShapeHoles;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlet tmpHoles;\n\n\t\tfor ( let i = 0, il = newShapes.length; i < il; i ++ ) {\n\n\t\t\ttmpShape = newShapes[ i ].s;\n\t\t\tshapes.push( tmpShape );\n\t\t\ttmpHoles = newShapeHoles[ i ];\n\n\t\t\tfor ( let j = 0, jl = tmpHoles.length; j < jl; j ++ ) {\n\n\t\t\t\ttmpShape.holes.push( tmpHoles[ j ].h );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//console.log(\"shape\", shapes);\n\n\t\treturn shapes;\n\n\t}\n\n}\n\nif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'register', { detail: {\n\t\trevision: REVISION,\n\t} } ) );\n\n}\n\nif ( typeof window !== 'undefined' ) {\n\n\tif ( window.__THREE__ ) {\n\n\t\tconsole.warn( 'WARNING: Multiple instances of Three.js being imported.' );\n\n\t} else {\n\n\t\twindow.__THREE__ = REVISION;\n\n\t}\n\n}\n\nexport { ACESFilmicToneMapping, AddEquation, AddOperation, AdditiveAnimationBlendMode, AdditiveBlending, AgXToneMapping, AlphaFormat, AlwaysCompare, AlwaysDepth, AlwaysStencilFunc, AmbientLight, AnimationAction, AnimationClip, AnimationLoader, AnimationMixer, AnimationObjectGroup, AnimationUtils, ArcCurve, ArrayCamera, ArrowHelper, AttachedBindMode, Audio, AudioAnalyser, AudioContext, AudioListener, AudioLoader, AxesHelper, BackSide, BasicDepthPacking, BasicShadowMap, BatchedMesh, Bone, BooleanKeyframeTrack, Box2, Box3, Box3Helper, BoxGeometry, BoxHelper, BufferAttribute, BufferGeometry, BufferGeometryLoader, ByteType, Cache, Camera, CameraHelper, CanvasTexture, CapsuleGeometry, CatmullRomCurve3, CineonToneMapping, CircleGeometry, ClampToEdgeWrapping, Clock, Color, ColorKeyframeTrack, ColorManagement, CompressedArrayTexture, CompressedCubeTexture, CompressedTexture, CompressedTextureLoader, ConeGeometry, ConstantAlphaFactor, ConstantColorFactor, CubeCamera, CubeReflectionMapping, CubeRefractionMapping, CubeTexture, CubeTextureLoader, CubeUVReflectionMapping, CubicBezierCurve, CubicBezierCurve3, CubicInterpolant, CullFaceBack, CullFaceFront, CullFaceFrontBack, CullFaceNone, Curve, CurvePath, CustomBlending, CustomToneMapping, CylinderGeometry, Cylindrical, Data3DTexture, DataArrayTexture, DataTexture, DataTextureLoader, DataUtils, DecrementStencilOp, DecrementWrapStencilOp, DefaultLoadingManager, DepthFormat, DepthStencilFormat, DepthTexture, DetachedBindMode, DirectionalLight, DirectionalLightHelper, DiscreteInterpolant, DisplayP3ColorSpace, DodecahedronGeometry, DoubleSide, DstAlphaFactor, DstColorFactor, DynamicCopyUsage, DynamicDrawUsage, DynamicReadUsage, EdgesGeometry, EllipseCurve, EqualCompare, EqualDepth, EqualStencilFunc, EquirectangularReflectionMapping, EquirectangularRefractionMapping, Euler, EventDispatcher, ExtrudeGeometry, FileLoader, Float16BufferAttribute, Float32BufferAttribute, Float64BufferAttribute, FloatType, Fog, FogExp2, FramebufferTexture, FrontSide, Frustum, GLBufferAttribute, GLSL1, GLSL3, GreaterCompare, GreaterDepth, GreaterEqualCompare, GreaterEqualDepth, GreaterEqualStencilFunc, GreaterStencilFunc, GridHelper, Group, HalfFloatType, HemisphereLight, HemisphereLightHelper, IcosahedronGeometry, ImageBitmapLoader, ImageLoader, ImageUtils, IncrementStencilOp, IncrementWrapStencilOp, InstancedBufferAttribute, InstancedBufferGeometry, InstancedInterleavedBuffer, InstancedMesh, Int16BufferAttribute, Int32BufferAttribute, Int8BufferAttribute, IntType, InterleavedBuffer, InterleavedBufferAttribute, Interpolant, InterpolateDiscrete, InterpolateLinear, InterpolateSmooth, InvertStencilOp, KeepStencilOp, KeyframeTrack, LOD, LatheGeometry, Layers, LessCompare, LessDepth, LessEqualCompare, LessEqualDepth, LessEqualStencilFunc, LessStencilFunc, Light, LightProbe, Line, Line3, LineBasicMaterial, LineCurve, LineCurve3, LineDashedMaterial, LineLoop, LineSegments, LinearDisplayP3ColorSpace, LinearEncoding, LinearFilter, LinearInterpolant, LinearMipMapLinearFilter, LinearMipMapNearestFilter, LinearMipmapLinearFilter, LinearMipmapNearestFilter, LinearSRGBColorSpace, LinearToneMapping, LinearTransfer, Loader, LoaderUtils, LoadingManager, LoopOnce, LoopPingPong, LoopRepeat, LuminanceAlphaFormat, LuminanceFormat, MOUSE, Material, MaterialLoader, MathUtils, Matrix3, Matrix4, MaxEquation, Mesh, MeshBasicMaterial, MeshDepthMaterial, MeshDistanceMaterial, MeshLambertMaterial, MeshMatcapMaterial, MeshNormalMaterial, MeshPhongMaterial, MeshPhysicalMaterial, MeshStandardMaterial, MeshToonMaterial, MinEquation, MirroredRepeatWrapping, MixOperation, MultiplyBlending, MultiplyOperation, NearestFilter, NearestMipMapLinearFilter, NearestMipMapNearestFilter, NearestMipmapLinearFilter, NearestMipmapNearestFilter, NeverCompare, NeverDepth, NeverStencilFunc, NoBlending, NoColorSpace, NoToneMapping, NormalAnimationBlendMode, NormalBlending, NotEqualCompare, NotEqualDepth, NotEqualStencilFunc, NumberKeyframeTrack, Object3D, ObjectLoader, ObjectSpaceNormalMap, OctahedronGeometry, OneFactor, OneMinusConstantAlphaFactor, OneMinusConstantColorFactor, OneMinusDstAlphaFactor, OneMinusDstColorFactor, OneMinusSrcAlphaFactor, OneMinusSrcColorFactor, OrthographicCamera, P3Primaries, PCFShadowMap, PCFSoftShadowMap, PMREMGenerator, Path, PerspectiveCamera, Plane, PlaneGeometry, PlaneHelper, PointLight, PointLightHelper, Points, PointsMaterial, PolarGridHelper, PolyhedronGeometry, PositionalAudio, PropertyBinding, PropertyMixer, QuadraticBezierCurve, QuadraticBezierCurve3, Quaternion, QuaternionKeyframeTrack, QuaternionLinearInterpolant, RED_GREEN_RGTC2_Format, RED_RGTC1_Format, REVISION, RGBADepthPacking, RGBAFormat, RGBAIntegerFormat, RGBA_ASTC_10x10_Format, RGBA_ASTC_10x5_Format, RGBA_ASTC_10x6_Format, RGBA_ASTC_10x8_Format, RGBA_ASTC_12x10_Format, RGBA_ASTC_12x12_Format, RGBA_ASTC_4x4_Format, RGBA_ASTC_5x4_Format, RGBA_ASTC_5x5_Format, RGBA_ASTC_6x5_Format, RGBA_ASTC_6x6_Format, RGBA_ASTC_8x5_Format, RGBA_ASTC_8x6_Format, RGBA_ASTC_8x8_Format, RGBA_BPTC_Format, RGBA_ETC2_EAC_Format, RGBA_PVRTC_2BPPV1_Format, RGBA_PVRTC_4BPPV1_Format, RGBA_S3TC_DXT1_Format, RGBA_S3TC_DXT3_Format, RGBA_S3TC_DXT5_Format, RGB_BPTC_SIGNED_Format, RGB_BPTC_UNSIGNED_Format, RGB_ETC1_Format, RGB_ETC2_Format, RGB_PVRTC_2BPPV1_Format, RGB_PVRTC_4BPPV1_Format, RGB_S3TC_DXT1_Format, RGFormat, RGIntegerFormat, RawShaderMaterial, Ray, Raycaster, Rec709Primaries, RectAreaLight, RedFormat, RedIntegerFormat, ReinhardToneMapping, RenderTarget, RepeatWrapping, ReplaceStencilOp, ReverseSubtractEquation, RingGeometry, SIGNED_RED_GREEN_RGTC2_Format, SIGNED_RED_RGTC1_Format, SRGBColorSpace, SRGBTransfer, Scene, ShaderChunk, ShaderLib, ShaderMaterial, ShadowMaterial, Shape, ShapeGeometry, ShapePath, ShapeUtils, ShortType, Skeleton, SkeletonHelper, SkinnedMesh, Source, Sphere, SphereGeometry, Spherical, SphericalHarmonics3, SplineCurve, SpotLight, SpotLightHelper, Sprite, SpriteMaterial, SrcAlphaFactor, SrcAlphaSaturateFactor, SrcColorFactor, StaticCopyUsage, StaticDrawUsage, StaticReadUsage, StereoCamera, StreamCopyUsage, StreamDrawUsage, StreamReadUsage, StringKeyframeTrack, SubtractEquation, SubtractiveBlending, TOUCH, TangentSpaceNormalMap, TetrahedronGeometry, Texture, TextureLoader, TorusGeometry, TorusKnotGeometry, Triangle, TriangleFanDrawMode, TriangleStripDrawMode, TrianglesDrawMode, TubeGeometry, TwoPassDoubleSide, UVMapping, Uint16BufferAttribute, Uint32BufferAttribute, Uint8BufferAttribute, Uint8ClampedBufferAttribute, Uniform, UniformsGroup, UniformsLib, UniformsUtils, UnsignedByteType, UnsignedInt248Type, UnsignedIntType, UnsignedShort4444Type, UnsignedShort5551Type, UnsignedShortType, VSMShadowMap, Vector2, Vector3, Vector4, VectorKeyframeTrack, VideoTexture, WebGL1Renderer, WebGL3DRenderTarget, WebGLArrayRenderTarget, WebGLCoordinateSystem, WebGLCubeRenderTarget, WebGLMultipleRenderTargets, WebGLRenderTarget, WebGLRenderer, WebGLUtils, WebGPUCoordinateSystem, WireframeGeometry, WrapAroundEnding, ZeroCurvatureEnding, ZeroFactor, ZeroSlopeEnding, ZeroStencilOp, _SRGBAFormat, createCanvasElement, sRGBEncoding };\n","import {\n\tEventDispatcher,\n\tMOUSE,\n\tQuaternion,\n\tSpherical,\n\tTOUCH,\n\tVector2,\n\tVector3,\n\tPlane,\n\tRay,\n\tMathUtils\n} from 'three';\n\n// OrbitControls performs orbiting, dollying (zooming), and panning.\n// Unlike TrackballControls, it maintains the \"up\" direction object.up (+Y by default).\n//\n// Orbit - left mouse / touch: one-finger move\n// Zoom - middle mouse, or mousewheel / touch: two-finger spread or squish\n// Pan - right mouse, or left mouse + ctrl/meta/shiftKey, or arrow keys / touch: two-finger move\n\nconst _changeEvent = { type: 'change' };\nconst _startEvent = { type: 'start' };\nconst _endEvent = { type: 'end' };\nconst _ray = new Ray();\nconst _plane = new Plane();\nconst TILT_LIMIT = Math.cos( 70 * MathUtils.DEG2RAD );\n\nclass OrbitControls extends EventDispatcher {\n\n\tconstructor( object, domElement ) {\n\n\t\tsuper();\n\n\t\tthis.object = object;\n\t\tthis.domElement = domElement;\n\t\tthis.domElement.style.touchAction = 'none'; // disable touch scroll\n\n\t\t// Set to false to disable this control\n\t\tthis.enabled = true;\n\n\t\t// \"target\" sets the location of focus, where the object orbits around\n\t\tthis.target = new Vector3();\n\n\t\t// Sets the 3D cursor (similar to Blender), from which the maxTargetRadius takes effect\n\t\tthis.cursor = new Vector3();\n\n\t\t// How far you can dolly in and out ( PerspectiveCamera only )\n\t\tthis.minDistance = 0;\n\t\tthis.maxDistance = Infinity;\n\n\t\t// How far you can zoom in and out ( OrthographicCamera only )\n\t\tthis.minZoom = 0;\n\t\tthis.maxZoom = Infinity;\n\n\t\t// Limit camera target within a spherical area around the cursor\n\t\tthis.minTargetRadius = 0;\n\t\tthis.maxTargetRadius = Infinity;\n\n\t\t// How far you can orbit vertically, upper and lower limits.\n\t\t// Range is 0 to Math.PI radians.\n\t\tthis.minPolarAngle = 0; // radians\n\t\tthis.maxPolarAngle = Math.PI; // radians\n\n\t\t// How far you can orbit horizontally, upper and lower limits.\n\t\t// If set, the interval [ min, max ] must be a sub-interval of [ - 2 PI, 2 PI ], with ( max - min < 2 PI )\n\t\tthis.minAzimuthAngle = - Infinity; // radians\n\t\tthis.maxAzimuthAngle = Infinity; // radians\n\n\t\t// Set to true to enable damping (inertia)\n\t\t// If damping is enabled, you must call controls.update() in your animation loop\n\t\tthis.enableDamping = false;\n\t\tthis.dampingFactor = 0.05;\n\n\t\t// This option actually enables dollying in and out; left as \"zoom\" for backwards compatibility.\n\t\t// Set to false to disable zooming\n\t\tthis.enableZoom = true;\n\t\tthis.zoomSpeed = 1.0;\n\n\t\t// Set to false to disable rotating\n\t\tthis.enableRotate = true;\n\t\tthis.rotateSpeed = 1.0;\n\n\t\t// Set to false to disable panning\n\t\tthis.enablePan = true;\n\t\tthis.panSpeed = 1.0;\n\t\tthis.screenSpacePanning = true; // if false, pan orthogonal to world-space direction camera.up\n\t\tthis.keyPanSpeed = 7.0;\t// pixels moved per arrow key push\n\t\tthis.zoomToCursor = false;\n\n\t\t// Set to true to automatically rotate around the target\n\t\t// If auto-rotate is enabled, you must call controls.update() in your animation loop\n\t\tthis.autoRotate = false;\n\t\tthis.autoRotateSpeed = 2.0; // 30 seconds per orbit when fps is 60\n\n\t\t// The four arrow keys\n\t\tthis.keys = { LEFT: 'ArrowLeft', UP: 'ArrowUp', RIGHT: 'ArrowRight', BOTTOM: 'ArrowDown' };\n\n\t\t// Mouse buttons\n\t\tthis.mouseButtons = { LEFT: MOUSE.ROTATE, MIDDLE: MOUSE.DOLLY, RIGHT: MOUSE.PAN };\n\n\t\t// Touch fingers\n\t\tthis.touches = { ONE: TOUCH.ROTATE, TWO: TOUCH.DOLLY_PAN };\n\n\t\t// for reset\n\t\tthis.target0 = this.target.clone();\n\t\tthis.position0 = this.object.position.clone();\n\t\tthis.zoom0 = this.object.zoom;\n\n\t\t// the target DOM element for key events\n\t\tthis._domElementKeyEvents = null;\n\n\t\t//\n\t\t// public methods\n\t\t//\n\n\t\tthis.getPolarAngle = function () {\n\n\t\t\treturn spherical.phi;\n\n\t\t};\n\n\t\tthis.getAzimuthalAngle = function () {\n\n\t\t\treturn spherical.theta;\n\n\t\t};\n\n\t\tthis.getDistance = function () {\n\n\t\t\treturn this.object.position.distanceTo( this.target );\n\n\t\t};\n\n\t\tthis.listenToKeyEvents = function ( domElement ) {\n\n\t\t\tdomElement.addEventListener( 'keydown', onKeyDown );\n\t\t\tthis._domElementKeyEvents = domElement;\n\n\t\t};\n\n\t\tthis.stopListenToKeyEvents = function () {\n\n\t\t\tthis._domElementKeyEvents.removeEventListener( 'keydown', onKeyDown );\n\t\t\tthis._domElementKeyEvents = null;\n\n\t\t};\n\n\t\tthis.saveState = function () {\n\n\t\t\tscope.target0.copy( scope.target );\n\t\t\tscope.position0.copy( scope.object.position );\n\t\t\tscope.zoom0 = scope.object.zoom;\n\n\t\t};\n\n\t\tthis.reset = function () {\n\n\t\t\tscope.target.copy( scope.target0 );\n\t\t\tscope.object.position.copy( scope.position0 );\n\t\t\tscope.object.zoom = scope.zoom0;\n\n\t\t\tscope.object.updateProjectionMatrix();\n\t\t\tscope.dispatchEvent( _changeEvent );\n\n\t\t\tscope.update();\n\n\t\t\tstate = STATE.NONE;\n\n\t\t};\n\n\t\t// this method is exposed, but perhaps it would be better if we can make it private...\n\t\tthis.update = function () {\n\n\t\t\tconst offset = new Vector3();\n\n\t\t\t// so camera.up is the orbit axis\n\t\t\tconst quat = new Quaternion().setFromUnitVectors( object.up, new Vector3( 0, 1, 0 ) );\n\t\t\tconst quatInverse = quat.clone().invert();\n\n\t\t\tconst lastPosition = new Vector3();\n\t\t\tconst lastQuaternion = new Quaternion();\n\t\t\tconst lastTargetPosition = new Vector3();\n\n\t\t\tconst twoPI = 2 * Math.PI;\n\n\t\t\treturn function update( deltaTime = null ) {\n\n\t\t\t\tconst position = scope.object.position;\n\n\t\t\t\toffset.copy( position ).sub( scope.target );\n\n\t\t\t\t// rotate offset to \"y-axis-is-up\" space\n\t\t\t\toffset.applyQuaternion( quat );\n\n\t\t\t\t// angle from z-axis around y-axis\n\t\t\t\tspherical.setFromVector3( offset );\n\n\t\t\t\tif ( scope.autoRotate && state === STATE.NONE ) {\n\n\t\t\t\t\trotateLeft( getAutoRotationAngle( deltaTime ) );\n\n\t\t\t\t}\n\n\t\t\t\tif ( scope.enableDamping ) {\n\n\t\t\t\t\tspherical.theta += sphericalDelta.theta * scope.dampingFactor;\n\t\t\t\t\tspherical.phi += sphericalDelta.phi * scope.dampingFactor;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tspherical.theta += sphericalDelta.theta;\n\t\t\t\t\tspherical.phi += sphericalDelta.phi;\n\n\t\t\t\t}\n\n\t\t\t\t// restrict theta to be between desired limits\n\n\t\t\t\tlet min = scope.minAzimuthAngle;\n\t\t\t\tlet max = scope.maxAzimuthAngle;\n\n\t\t\t\tif ( isFinite( min ) && isFinite( max ) ) {\n\n\t\t\t\t\tif ( min < - Math.PI ) min += twoPI; else if ( min > Math.PI ) min -= twoPI;\n\n\t\t\t\t\tif ( max < - Math.PI ) max += twoPI; else if ( max > Math.PI ) max -= twoPI;\n\n\t\t\t\t\tif ( min <= max ) {\n\n\t\t\t\t\t\tspherical.theta = Math.max( min, Math.min( max, spherical.theta ) );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tspherical.theta = ( spherical.theta > ( min + max ) / 2 ) ?\n\t\t\t\t\t\t\tMath.max( min, spherical.theta ) :\n\t\t\t\t\t\t\tMath.min( max, spherical.theta );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// restrict phi to be between desired limits\n\t\t\t\tspherical.phi = Math.max( scope.minPolarAngle, Math.min( scope.maxPolarAngle, spherical.phi ) );\n\n\t\t\t\tspherical.makeSafe();\n\n\n\t\t\t\t// move target to panned location\n\n\t\t\t\tif ( scope.enableDamping === true ) {\n\n\t\t\t\t\tscope.target.addScaledVector( panOffset, scope.dampingFactor );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tscope.target.add( panOffset );\n\n\t\t\t\t}\n\n\t\t\t\t// Limit the target distance from the cursor to create a sphere around the center of interest\n\t\t\t\tscope.target.sub( scope.cursor );\n\t\t\t\tscope.target.clampLength( scope.minTargetRadius, scope.maxTargetRadius );\n\t\t\t\tscope.target.add( scope.cursor );\n\n\t\t\t\t// adjust the camera position based on zoom only if we're not zooming to the cursor or if it's an ortho camera\n\t\t\t\t// we adjust zoom later in these cases\n\t\t\t\tif ( scope.zoomToCursor && performCursorZoom || scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\tspherical.radius = clampDistance( spherical.radius );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tspherical.radius = clampDistance( spherical.radius * scale );\n\n\t\t\t\t}\n\n\t\t\t\toffset.setFromSpherical( spherical );\n\n\t\t\t\t// rotate offset back to \"camera-up-vector-is-up\" space\n\t\t\t\toffset.applyQuaternion( quatInverse );\n\n\t\t\t\tposition.copy( scope.target ).add( offset );\n\n\t\t\t\tscope.object.lookAt( scope.target );\n\n\t\t\t\tif ( scope.enableDamping === true ) {\n\n\t\t\t\t\tsphericalDelta.theta *= ( 1 - scope.dampingFactor );\n\t\t\t\t\tsphericalDelta.phi *= ( 1 - scope.dampingFactor );\n\n\t\t\t\t\tpanOffset.multiplyScalar( 1 - scope.dampingFactor );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tsphericalDelta.set( 0, 0, 0 );\n\n\t\t\t\t\tpanOffset.set( 0, 0, 0 );\n\n\t\t\t\t}\n\n\t\t\t\t// adjust camera position\n\t\t\t\tlet zoomChanged = false;\n\t\t\t\tif ( scope.zoomToCursor && performCursorZoom ) {\n\n\t\t\t\t\tlet newRadius = null;\n\t\t\t\t\tif ( scope.object.isPerspectiveCamera ) {\n\n\t\t\t\t\t\t// move the camera down the pointer ray\n\t\t\t\t\t\t// this method avoids floating point error\n\t\t\t\t\t\tconst prevRadius = offset.length();\n\t\t\t\t\t\tnewRadius = clampDistance( prevRadius * scale );\n\n\t\t\t\t\t\tconst radiusDelta = prevRadius - newRadius;\n\t\t\t\t\t\tscope.object.position.addScaledVector( dollyDirection, radiusDelta );\n\t\t\t\t\t\tscope.object.updateMatrixWorld();\n\n\t\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\t\t// adjust the ortho camera position based on zoom changes\n\t\t\t\t\t\tconst mouseBefore = new Vector3( mouse.x, mouse.y, 0 );\n\t\t\t\t\t\tmouseBefore.unproject( scope.object );\n\n\t\t\t\t\t\tscope.object.zoom = Math.max( scope.minZoom, Math.min( scope.maxZoom, scope.object.zoom / scale ) );\n\t\t\t\t\t\tscope.object.updateProjectionMatrix();\n\t\t\t\t\t\tzoomChanged = true;\n\n\t\t\t\t\t\tconst mouseAfter = new Vector3( mouse.x, mouse.y, 0 );\n\t\t\t\t\t\tmouseAfter.unproject( scope.object );\n\n\t\t\t\t\t\tscope.object.position.sub( mouseAfter ).add( mouseBefore );\n\t\t\t\t\t\tscope.object.updateMatrixWorld();\n\n\t\t\t\t\t\tnewRadius = offset.length();\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled.' );\n\t\t\t\t\t\tscope.zoomToCursor = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// handle the placement of the target\n\t\t\t\t\tif ( newRadius !== null ) {\n\n\t\t\t\t\t\tif ( this.screenSpacePanning ) {\n\n\t\t\t\t\t\t\t// position the orbit target in front of the new camera position\n\t\t\t\t\t\t\tscope.target.set( 0, 0, - 1 )\n\t\t\t\t\t\t\t\t.transformDirection( scope.object.matrix )\n\t\t\t\t\t\t\t\t.multiplyScalar( newRadius )\n\t\t\t\t\t\t\t\t.add( scope.object.position );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// get the ray and translation plane to compute target\n\t\t\t\t\t\t\t_ray.origin.copy( scope.object.position );\n\t\t\t\t\t\t\t_ray.direction.set( 0, 0, - 1 ).transformDirection( scope.object.matrix );\n\n\t\t\t\t\t\t\t// if the camera is 20 degrees above the horizon then don't adjust the focus target to avoid\n\t\t\t\t\t\t\t// extremely large values\n\t\t\t\t\t\t\tif ( Math.abs( scope.object.up.dot( _ray.direction ) ) < TILT_LIMIT ) {\n\n\t\t\t\t\t\t\t\tobject.lookAt( scope.target );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t_plane.setFromNormalAndCoplanarPoint( scope.object.up, scope.target );\n\t\t\t\t\t\t\t\t_ray.intersectPlane( _plane, scope.target );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\tscope.object.zoom = Math.max( scope.minZoom, Math.min( scope.maxZoom, scope.object.zoom / scale ) );\n\t\t\t\t\tscope.object.updateProjectionMatrix();\n\t\t\t\t\tzoomChanged = true;\n\n\t\t\t\t}\n\n\t\t\t\tscale = 1;\n\t\t\t\tperformCursorZoom = false;\n\n\t\t\t\t// update condition is:\n\t\t\t\t// min(camera displacement, camera rotation in radians)^2 > EPS\n\t\t\t\t// using small-angle approximation cos(x/2) = 1 - x^2 / 8\n\n\t\t\t\tif ( zoomChanged ||\n\t\t\t\t\tlastPosition.distanceToSquared( scope.object.position ) > EPS ||\n\t\t\t\t\t8 * ( 1 - lastQuaternion.dot( scope.object.quaternion ) ) > EPS ||\n\t\t\t\t\tlastTargetPosition.distanceToSquared( scope.target ) > 0 ) {\n\n\t\t\t\t\tscope.dispatchEvent( _changeEvent );\n\n\t\t\t\t\tlastPosition.copy( scope.object.position );\n\t\t\t\t\tlastQuaternion.copy( scope.object.quaternion );\n\t\t\t\t\tlastTargetPosition.copy( scope.target );\n\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t\treturn false;\n\n\t\t\t};\n\n\t\t}();\n\n\t\tthis.dispose = function () {\n\n\t\t\tscope.domElement.removeEventListener( 'contextmenu', onContextMenu );\n\n\t\t\tscope.domElement.removeEventListener( 'pointerdown', onPointerDown );\n\t\t\tscope.domElement.removeEventListener( 'pointercancel', onPointerUp );\n\t\t\tscope.domElement.removeEventListener( 'wheel', onMouseWheel );\n\n\t\t\tscope.domElement.removeEventListener( 'pointermove', onPointerMove );\n\t\t\tscope.domElement.removeEventListener( 'pointerup', onPointerUp );\n\n\n\t\t\tif ( scope._domElementKeyEvents !== null ) {\n\n\t\t\t\tscope._domElementKeyEvents.removeEventListener( 'keydown', onKeyDown );\n\t\t\t\tscope._domElementKeyEvents = null;\n\n\t\t\t}\n\n\t\t\t//scope.dispatchEvent( { type: 'dispose' } ); // should this be added here?\n\n\t\t};\n\n\t\t//\n\t\t// internals\n\t\t//\n\n\t\tconst scope = this;\n\n\t\tconst STATE = {\n\t\t\tNONE: - 1,\n\t\t\tROTATE: 0,\n\t\t\tDOLLY: 1,\n\t\t\tPAN: 2,\n\t\t\tTOUCH_ROTATE: 3,\n\t\t\tTOUCH_PAN: 4,\n\t\t\tTOUCH_DOLLY_PAN: 5,\n\t\t\tTOUCH_DOLLY_ROTATE: 6\n\t\t};\n\n\t\tlet state = STATE.NONE;\n\n\t\tconst EPS = 0.000001;\n\n\t\t// current position in spherical coordinates\n\t\tconst spherical = new Spherical();\n\t\tconst sphericalDelta = new Spherical();\n\n\t\tlet scale = 1;\n\t\tconst panOffset = new Vector3();\n\n\t\tconst rotateStart = new Vector2();\n\t\tconst rotateEnd = new Vector2();\n\t\tconst rotateDelta = new Vector2();\n\n\t\tconst panStart = new Vector2();\n\t\tconst panEnd = new Vector2();\n\t\tconst panDelta = new Vector2();\n\n\t\tconst dollyStart = new Vector2();\n\t\tconst dollyEnd = new Vector2();\n\t\tconst dollyDelta = new Vector2();\n\n\t\tconst dollyDirection = new Vector3();\n\t\tconst mouse = new Vector2();\n\t\tlet performCursorZoom = false;\n\n\t\tconst pointers = [];\n\t\tconst pointerPositions = {};\n\n\t\tlet controlActive = false;\n\n\t\tfunction getAutoRotationAngle( deltaTime ) {\n\n\t\t\tif ( deltaTime !== null ) {\n\n\t\t\t\treturn ( 2 * Math.PI / 60 * scope.autoRotateSpeed ) * deltaTime;\n\n\t\t\t} else {\n\n\t\t\t\treturn 2 * Math.PI / 60 / 60 * scope.autoRotateSpeed;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction getZoomScale( delta ) {\n\n\t\t\tconst normalizedDelta = Math.abs( delta * 0.01 );\n\t\t\treturn Math.pow( 0.95, scope.zoomSpeed * normalizedDelta );\n\n\t\t}\n\n\t\tfunction rotateLeft( angle ) {\n\n\t\t\tsphericalDelta.theta -= angle;\n\n\t\t}\n\n\t\tfunction rotateUp( angle ) {\n\n\t\t\tsphericalDelta.phi -= angle;\n\n\t\t}\n\n\t\tconst panLeft = function () {\n\n\t\t\tconst v = new Vector3();\n\n\t\t\treturn function panLeft( distance, objectMatrix ) {\n\n\t\t\t\tv.setFromMatrixColumn( objectMatrix, 0 ); // get X column of objectMatrix\n\t\t\t\tv.multiplyScalar( - distance );\n\n\t\t\t\tpanOffset.add( v );\n\n\t\t\t};\n\n\t\t}();\n\n\t\tconst panUp = function () {\n\n\t\t\tconst v = new Vector3();\n\n\t\t\treturn function panUp( distance, objectMatrix ) {\n\n\t\t\t\tif ( scope.screenSpacePanning === true ) {\n\n\t\t\t\t\tv.setFromMatrixColumn( objectMatrix, 1 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tv.setFromMatrixColumn( objectMatrix, 0 );\n\t\t\t\t\tv.crossVectors( scope.object.up, v );\n\n\t\t\t\t}\n\n\t\t\t\tv.multiplyScalar( distance );\n\n\t\t\t\tpanOffset.add( v );\n\n\t\t\t};\n\n\t\t}();\n\n\t\t// deltaX and deltaY are in pixels; right and down are positive\n\t\tconst pan = function () {\n\n\t\t\tconst offset = new Vector3();\n\n\t\t\treturn function pan( deltaX, deltaY ) {\n\n\t\t\t\tconst element = scope.domElement;\n\n\t\t\t\tif ( scope.object.isPerspectiveCamera ) {\n\n\t\t\t\t\t// perspective\n\t\t\t\t\tconst position = scope.object.position;\n\t\t\t\t\toffset.copy( position ).sub( scope.target );\n\t\t\t\t\tlet targetDistance = offset.length();\n\n\t\t\t\t\t// half of the fov is center to top of screen\n\t\t\t\t\ttargetDistance *= Math.tan( ( scope.object.fov / 2 ) * Math.PI / 180.0 );\n\n\t\t\t\t\t// we use only clientHeight here so aspect ratio does not distort speed\n\t\t\t\t\tpanLeft( 2 * deltaX * targetDistance / element.clientHeight, scope.object.matrix );\n\t\t\t\t\tpanUp( 2 * deltaY * targetDistance / element.clientHeight, scope.object.matrix );\n\n\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\t// orthographic\n\t\t\t\t\tpanLeft( deltaX * ( scope.object.right - scope.object.left ) / scope.object.zoom / element.clientWidth, scope.object.matrix );\n\t\t\t\t\tpanUp( deltaY * ( scope.object.top - scope.object.bottom ) / scope.object.zoom / element.clientHeight, scope.object.matrix );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// camera neither orthographic nor perspective\n\t\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - pan disabled.' );\n\t\t\t\t\tscope.enablePan = false;\n\n\t\t\t\t}\n\n\t\t\t};\n\n\t\t}();\n\n\t\tfunction dollyOut( dollyScale ) {\n\n\t\t\tif ( scope.object.isPerspectiveCamera || scope.object.isOrthographicCamera ) {\n\n\t\t\t\tscale /= dollyScale;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.' );\n\t\t\t\tscope.enableZoom = false;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction dollyIn( dollyScale ) {\n\n\t\t\tif ( scope.object.isPerspectiveCamera || scope.object.isOrthographicCamera ) {\n\n\t\t\t\tscale *= dollyScale;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.' );\n\t\t\t\tscope.enableZoom = false;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction updateZoomParameters( x, y ) {\n\n\t\t\tif ( ! scope.zoomToCursor ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tperformCursorZoom = true;\n\n\t\t\tconst rect = scope.domElement.getBoundingClientRect();\n\t\t\tconst dx = x - rect.left;\n\t\t\tconst dy = y - rect.top;\n\t\t\tconst w = rect.width;\n\t\t\tconst h = rect.height;\n\n\t\t\tmouse.x = ( dx / w ) * 2 - 1;\n\t\t\tmouse.y = - ( dy / h ) * 2 + 1;\n\n\t\t\tdollyDirection.set( mouse.x, mouse.y, 1 ).unproject( scope.object ).sub( scope.object.position ).normalize();\n\n\t\t}\n\n\t\tfunction clampDistance( dist ) {\n\n\t\t\treturn Math.max( scope.minDistance, Math.min( scope.maxDistance, dist ) );\n\n\t\t}\n\n\t\t//\n\t\t// event callbacks - update the object state\n\t\t//\n\n\t\tfunction handleMouseDownRotate( event ) {\n\n\t\t\trotateStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseDownDolly( event ) {\n\n\t\t\tupdateZoomParameters( event.clientX, event.clientX );\n\t\t\tdollyStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseDownPan( event ) {\n\n\t\t\tpanStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseMoveRotate( event ) {\n\n\t\t\trotateEnd.set( event.clientX, event.clientY );\n\n\t\t\trotateDelta.subVectors( rotateEnd, rotateStart ).multiplyScalar( scope.rotateSpeed );\n\n\t\t\tconst element = scope.domElement;\n\n\t\t\trotateLeft( 2 * Math.PI * rotateDelta.x / element.clientHeight ); // yes, height\n\n\t\t\trotateUp( 2 * Math.PI * rotateDelta.y / element.clientHeight );\n\n\t\t\trotateStart.copy( rotateEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseMoveDolly( event ) {\n\n\t\t\tdollyEnd.set( event.clientX, event.clientY );\n\n\t\t\tdollyDelta.subVectors( dollyEnd, dollyStart );\n\n\t\t\tif ( dollyDelta.y > 0 ) {\n\n\t\t\t\tdollyOut( getZoomScale( dollyDelta.y ) );\n\n\t\t\t} else if ( dollyDelta.y < 0 ) {\n\n\t\t\t\tdollyIn( getZoomScale( dollyDelta.y ) );\n\n\t\t\t}\n\n\t\t\tdollyStart.copy( dollyEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseMovePan( event ) {\n\n\t\t\tpanEnd.set( event.clientX, event.clientY );\n\n\t\t\tpanDelta.subVectors( panEnd, panStart ).multiplyScalar( scope.panSpeed );\n\n\t\t\tpan( panDelta.x, panDelta.y );\n\n\t\t\tpanStart.copy( panEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseWheel( event ) {\n\n\t\t\tupdateZoomParameters( event.clientX, event.clientY );\n\n\t\t\tif ( event.deltaY < 0 ) {\n\n\t\t\t\tdollyIn( getZoomScale( event.deltaY ) );\n\n\t\t\t} else if ( event.deltaY > 0 ) {\n\n\t\t\t\tdollyOut( getZoomScale( event.deltaY ) );\n\n\t\t\t}\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleKeyDown( event ) {\n\n\t\t\tlet needsUpdate = false;\n\n\t\t\tswitch ( event.code ) {\n\n\t\t\t\tcase scope.keys.UP:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateUp( 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( 0, scope.keyPanSpeed );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.BOTTOM:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateUp( - 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( 0, - scope.keyPanSpeed );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.LEFT:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateLeft( 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( scope.keyPanSpeed, 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.RIGHT:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateLeft( - 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( - scope.keyPanSpeed, 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tif ( needsUpdate ) {\n\n\t\t\t\t// prevent the browser from scrolling on cursor keys\n\t\t\t\tevent.preventDefault();\n\n\t\t\t\tscope.update();\n\n\t\t\t}\n\n\n\t\t}\n\n\t\tfunction handleTouchStartRotate( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\trotateStart.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\trotateStart.set( x, y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction handleTouchStartPan( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\tpanStart.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\tpanStart.set( x, y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction handleTouchStartDolly( event ) {\n\n\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\tconst dx = event.pageX - position.x;\n\t\t\tconst dy = event.pageY - position.y;\n\n\t\t\tconst distance = Math.sqrt( dx * dx + dy * dy );\n\n\t\t\tdollyStart.set( 0, distance );\n\n\t\t}\n\n\t\tfunction handleTouchStartDollyPan( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchStartDolly( event );\n\n\t\t\tif ( scope.enablePan ) handleTouchStartPan( event );\n\n\t\t}\n\n\t\tfunction handleTouchStartDollyRotate( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchStartDolly( event );\n\n\t\t\tif ( scope.enableRotate ) handleTouchStartRotate( event );\n\n\t\t}\n\n\t\tfunction handleTouchMoveRotate( event ) {\n\n\t\t\tif ( pointers.length == 1 ) {\n\n\t\t\t\trotateEnd.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\trotateEnd.set( x, y );\n\n\t\t\t}\n\n\t\t\trotateDelta.subVectors( rotateEnd, rotateStart ).multiplyScalar( scope.rotateSpeed );\n\n\t\t\tconst element = scope.domElement;\n\n\t\t\trotateLeft( 2 * Math.PI * rotateDelta.x / element.clientHeight ); // yes, height\n\n\t\t\trotateUp( 2 * Math.PI * rotateDelta.y / element.clientHeight );\n\n\t\t\trotateStart.copy( rotateEnd );\n\n\t\t}\n\n\t\tfunction handleTouchMovePan( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\tpanEnd.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\tpanEnd.set( x, y );\n\n\t\t\t}\n\n\t\t\tpanDelta.subVectors( panEnd, panStart ).multiplyScalar( scope.panSpeed );\n\n\t\t\tpan( panDelta.x, panDelta.y );\n\n\t\t\tpanStart.copy( panEnd );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDolly( event ) {\n\n\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\tconst dx = event.pageX - position.x;\n\t\t\tconst dy = event.pageY - position.y;\n\n\t\t\tconst distance = Math.sqrt( dx * dx + dy * dy );\n\n\t\t\tdollyEnd.set( 0, distance );\n\n\t\t\tdollyDelta.set( 0, Math.pow( dollyEnd.y / dollyStart.y, scope.zoomSpeed ) );\n\n\t\t\tdollyOut( dollyDelta.y );\n\n\t\t\tdollyStart.copy( dollyEnd );\n\n\t\t\tconst centerX = ( event.pageX + position.x ) * 0.5;\n\t\t\tconst centerY = ( event.pageY + position.y ) * 0.5;\n\n\t\t\tupdateZoomParameters( centerX, centerY );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDollyPan( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchMoveDolly( event );\n\n\t\t\tif ( scope.enablePan ) handleTouchMovePan( event );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDollyRotate( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchMoveDolly( event );\n\n\t\t\tif ( scope.enableRotate ) handleTouchMoveRotate( event );\n\n\t\t}\n\n\t\t//\n\t\t// event handlers - FSM: listen for events and reset state\n\t\t//\n\n\t\tfunction onPointerDown( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tif ( pointers.length === 0 ) {\n\n\t\t\t\tscope.domElement.setPointerCapture( event.pointerId );\n\n\t\t\t\tscope.domElement.addEventListener( 'pointermove', onPointerMove );\n\t\t\t\tscope.domElement.addEventListener( 'pointerup', onPointerUp );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\taddPointer( event );\n\n\t\t\tif ( event.pointerType === 'touch' ) {\n\n\t\t\t\tonTouchStart( event );\n\n\t\t\t} else {\n\n\t\t\t\tonMouseDown( event );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onPointerMove( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tif ( event.pointerType === 'touch' ) {\n\n\t\t\t\tonTouchMove( event );\n\n\t\t\t} else {\n\n\t\t\t\tonMouseMove( event );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onPointerUp( event ) {\n\n\t\t\tremovePointer( event );\n\n\t\t\tif ( pointers.length === 0 ) {\n\n\t\t\t\tscope.domElement.releasePointerCapture( event.pointerId );\n\n\t\t\t\tscope.domElement.removeEventListener( 'pointermove', onPointerMove );\n\t\t\t\tscope.domElement.removeEventListener( 'pointerup', onPointerUp );\n\n\t\t\t}\n\n\t\t\tscope.dispatchEvent( _endEvent );\n\n\t\t\tstate = STATE.NONE;\n\n\t\t}\n\n\t\tfunction onMouseDown( event ) {\n\n\t\t\tlet mouseAction;\n\n\t\t\tswitch ( event.button ) {\n\n\t\t\t\tcase 0:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.LEFT;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 1:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.MIDDLE;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.RIGHT;\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tmouseAction = - 1;\n\n\t\t\t}\n\n\t\t\tswitch ( mouseAction ) {\n\n\t\t\t\tcase MOUSE.DOLLY:\n\n\t\t\t\t\tif ( scope.enableZoom === false ) return;\n\n\t\t\t\t\thandleMouseDownDolly( event );\n\n\t\t\t\t\tstate = STATE.DOLLY;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MOUSE.ROTATE:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\thandleMouseDownPan( event );\n\n\t\t\t\t\t\tstate = STATE.PAN;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\thandleMouseDownRotate( event );\n\n\t\t\t\t\t\tstate = STATE.ROTATE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MOUSE.PAN:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\thandleMouseDownRotate( event );\n\n\t\t\t\t\t\tstate = STATE.ROTATE;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\thandleMouseDownPan( event );\n\n\t\t\t\t\t\tstate = STATE.PAN;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t\tif ( state !== STATE.NONE ) {\n\n\t\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onMouseMove( event ) {\n\n\t\t\tswitch ( state ) {\n\n\t\t\t\tcase STATE.ROTATE:\n\n\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleMouseMoveRotate( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.DOLLY:\n\n\t\t\t\t\tif ( scope.enableZoom === false ) return;\n\n\t\t\t\t\thandleMouseMoveDolly( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.PAN:\n\n\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\thandleMouseMovePan( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onMouseWheel( event ) {\n\n\t\t\tif ( scope.enabled === false || scope.enableZoom === false || state !== STATE.NONE ) return;\n\n\t\t\tevent.preventDefault();\n\n\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\thandleMouseWheel( customWheelEvent( event ) );\n\n\t\t\tscope.dispatchEvent( _endEvent );\n\n\t\t}\n\n\t\tfunction customWheelEvent( event ) {\n\n\t\t\tconst mode = event.deltaMode;\n\n\t\t\t// minimal wheel event altered to meet delta-zoom demand\n\t\t\tconst newEvent = {\n\t\t\t\tclientX: event.clientX,\n\t\t\t\tclientY: event.clientY,\n\t\t\t\tdeltaY: event.deltaY,\n\t\t\t}\n\n\t\t\tswitch ( mode ) {\n\n\t\t\t\tcase 1: // LINE_MODE\n\t\t\t\t\tnewEvent.deltaY *= 16;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2: // PAGE_MODE\n\t\t\t\t\tnewEvent.deltaY *= 100;\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\t// detect if event was triggered by pinching\n\t\t\tif ( event.ctrlKey && !controlActive ) {\n\n\t\t\t\tnewEvent.deltaY *= 10;\n\n\t\t\t}\n\n\t\t\treturn newEvent;\n\n\t\t}\n\n\t\tfunction interceptControlDown( event ) {\n\n\t\t\tif ( event.key === \"Control\" ) {\n\n\t\t\t\tcontrolActive = true;\n\t\t\t\t\n\t\t\t\tdocument.addEventListener('keyup', interceptControlUp, { passive: true, capture: true });\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction interceptControlUp( event ) {\n\n\t\t\tif ( event.key === \"Control\" ) {\n\n\t\t\t\tcontrolActive = false;\n\t\t\t\t\n\t\t\t\tdocument.removeEventListener('keyup', interceptControlUp, { passive: true, capture: true });\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onKeyDown( event ) {\n\n\t\t\tif ( scope.enabled === false || scope.enablePan === false ) return;\n\n\t\t\thandleKeyDown( event );\n\n\t\t}\n\n\t\tfunction onTouchStart( event ) {\n\n\t\t\ttrackPointer( event );\n\n\t\t\tswitch ( pointers.length ) {\n\n\t\t\t\tcase 1:\n\n\t\t\t\t\tswitch ( scope.touches.ONE ) {\n\n\t\t\t\t\t\tcase TOUCH.ROTATE:\n\n\t\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartRotate( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_ROTATE;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase TOUCH.PAN:\n\n\t\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartPan( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_PAN;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2:\n\n\t\t\t\t\tswitch ( scope.touches.TWO ) {\n\n\t\t\t\t\t\tcase TOUCH.DOLLY_PAN:\n\n\t\t\t\t\t\t\tif ( scope.enableZoom === false && scope.enablePan === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartDollyPan( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_DOLLY_PAN;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase TOUCH.DOLLY_ROTATE:\n\n\t\t\t\t\t\t\tif ( scope.enableZoom === false && scope.enableRotate === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartDollyRotate( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_DOLLY_ROTATE;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t\tif ( state !== STATE.NONE ) {\n\n\t\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onTouchMove( event ) {\n\n\t\t\ttrackPointer( event );\n\n\t\t\tswitch ( state ) {\n\n\t\t\t\tcase STATE.TOUCH_ROTATE:\n\n\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleTouchMoveRotate( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_PAN:\n\n\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\thandleTouchMovePan( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_DOLLY_PAN:\n\n\t\t\t\t\tif ( scope.enableZoom === false && scope.enablePan === false ) return;\n\n\t\t\t\t\thandleTouchMoveDollyPan( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_DOLLY_ROTATE:\n\n\t\t\t\t\tif ( scope.enableZoom === false && scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleTouchMoveDollyRotate( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onContextMenu( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tevent.preventDefault();\n\n\t\t}\n\n\t\tfunction addPointer( event ) {\n\n\t\t\tpointers.push( event.pointerId );\n\n\t\t}\n\n\t\tfunction removePointer( event ) {\n\n\t\t\tdelete pointerPositions[ event.pointerId ];\n\n\t\t\tfor ( let i = 0; i < pointers.length; i ++ ) {\n\n\t\t\t\tif ( pointers[ i ] == event.pointerId ) {\n\n\t\t\t\t\tpointers.splice( i, 1 );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction trackPointer( event ) {\n\n\t\t\tlet position = pointerPositions[ event.pointerId ];\n\n\t\t\tif ( position === undefined ) {\n\n\t\t\t\tposition = new Vector2();\n\t\t\t\tpointerPositions[ event.pointerId ] = position;\n\n\t\t\t}\n\n\t\t\tposition.set( event.pageX, event.pageY );\n\n\t\t}\n\n\t\tfunction getSecondPointerPosition( event ) {\n\n\t\t\tconst pointerId = ( event.pointerId === pointers[ 0 ] ) ? pointers[ 1 ] : pointers[ 0 ];\n\n\t\t\treturn pointerPositions[ pointerId ];\n\n\t\t}\n\n\t\t//\n\n\t\tscope.domElement.addEventListener( 'contextmenu', onContextMenu );\n\n\t\tscope.domElement.addEventListener( 'pointerdown', onPointerDown );\n\t\tscope.domElement.addEventListener( 'pointercancel', onPointerUp );\n\t\tscope.domElement.addEventListener( 'wheel', onMouseWheel, { passive: false } );\n\n\t\tdocument.addEventListener( 'keydown', interceptControlDown, { passive: true, capture: true } );\n\n\t\t// force an update at start\n\n\t\tthis.update();\n\n\t}\n\n}\n\nexport { OrbitControls };","import { useEffect, useMemo, useRef, useState } from 'react';\nimport type { ChangeEvent, CSSProperties } from 'react';\nimport * as THREE from 'three';\nimport { OrbitControls } from 'three/examples/jsm/controls/OrbitControls.js';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\nconst BASE_LATTICE_SPAN = 24;\nconst DEFAULT_CAMERA_POSITION = new THREE.Vector3(20, 20, 20);\nconst DEFAULT_CAMERA_TARGET = new THREE.Vector3(0, 0, 0);\nconst RESET_DELAY_MS = 5000;\nconst SCENE_BACKGROUND = '#f2f0ea';\n\ninterface ComponentParams {\n gridSize?: number;\n majorRadius?: number;\n minorRadius?: number;\n}\n\ninterface FrameMetrics {\n layout: 'landscape' | 'portrait';\n width: number;\n height: number;\n}\n\nconst clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value));\n\nconst getParamNumber = (value: unknown, fallback: number, min: number, max: number, step = 1) => {\n if (typeof value !== 'number' || Number.isNaN(value)) return fallback;\n const stepped = Math.round(value / step) * step;\n return clamp(stepped, min, max);\n};\n\nfunction setupLights(targetScene: THREE.Scene) {\n const ambientLight = new THREE.AmbientLight(0xffffff, 0.65);\n targetScene.add(ambientLight);\n\n const directionalLight = new THREE.DirectionalLight(0xffffff, 1.1);\n directionalLight.position.set(20, 50, 20);\n directionalLight.castShadow = true;\n directionalLight.shadow.mapSize.width = 2048;\n directionalLight.shadow.mapSize.height = 2048;\n targetScene.add(directionalLight);\n\n const coolLight = new THREE.PointLight(0x3b82f6, 1.1, 50);\n coolLight.position.set(-10, 10, -10);\n targetScene.add(coolLight);\n\n const warmLight = new THREE.PointLight(0xff7a59, 0.9, 50);\n warmLight.position.set(10, -10, 10);\n targetScene.add(warmLight);\n}\n\nfunction disposeMaterial(material: THREE.Material | THREE.Material[]) {\n if (Array.isArray(material)) {\n material.forEach((item) => item.dispose());\n return;\n }\n\n material.dispose();\n}\n\nfunction disposeScene(scene: THREE.Scene) {\n scene.traverse((object) => {\n const mesh = object as THREE.Object3D & {\n geometry?: THREE.BufferGeometry;\n material?: THREE.Material | THREE.Material[];\n };\n\n if (mesh.geometry) {\n mesh.geometry.dispose();\n }\n\n if (mesh.material) {\n disposeMaterial(mesh.material);\n }\n });\n}\n\nexport default function Component({\n config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const params = (config.params ?? {}) as ComponentParams;\n const gridSize = getParamNumber(params.gridSize, 24, 12, 80, 1);\n const majorRadius = getParamNumber(params.majorRadius, 8, 4, 10, 0.5);\n const minorRadius = getParamNumber(params.minorRadius, 3, 1, 5, 0.25);\n\n const [resolution, setResolution] = useState(gridSize);\n const [frame, setFrame] = useState({\n layout: 'landscape',\n width: 0,\n height: 0\n });\n\n const wrapperRef = useRef(null);\n const canvasContainerRef = useRef(null);\n const completedRef = useRef(false);\n\n useEffect(() => {\n const wrapperNode = wrapperRef.current;\n if (!wrapperNode) return;\n\n const updateFrame = () => {\n const availableWidth = wrapperNode.clientWidth;\n const availableHeight = wrapperNode.clientHeight;\n\n if (!availableWidth || !availableHeight) return;\n\n const layout = availableWidth >= availableHeight ? 'landscape' : 'portrait';\n let width = availableWidth;\n let height = availableHeight;\n\n if (layout === 'landscape') {\n height = Math.min(availableHeight, availableWidth * (9 / 16));\n width = height * (16 / 9);\n } else {\n width = Math.min(availableWidth, availableHeight / 2);\n height = width * 2;\n }\n\n setFrame({\n layout,\n width,\n height\n });\n };\n\n const resizeObserver = new ResizeObserver(updateFrame);\n resizeObserver.observe(wrapperNode);\n updateFrame();\n\n return () => {\n resizeObserver.disconnect();\n };\n }, []);\n\n useEffect(() => {\n setResolution(gridSize);\n completedRef.current = false;\n }, [config.id, gridSize, majorRadius, minorRadius]);\n\n const latticeSpan = useMemo(\n () => Math.max(BASE_LATTICE_SPAN, (majorRadius + minorRadius + 1.5) * 2),\n [majorRadius, minorRadius]\n );\n const voxelSize = useMemo(() => latticeSpan / resolution, [latticeSpan, resolution]);\n\n useEffect(() => {\n onProgress?.(resolution === gridSize ? 0 : 100);\n }, [gridSize, onProgress, resolution]);\n\n useEffect(() => {\n if (resolution === gridSize || completedRef.current) return;\n\n completedRef.current = true;\n onComplete({\n success: true,\n score: 100,\n data: {\n configId: config.id,\n completedAt: new Date().toISOString(),\n params: {\n gridSize: resolution,\n majorRadius,\n minorRadius\n }\n }\n });\n }, [config.id, gridSize, majorRadius, minorRadius, onComplete, resolution]);\n\n useEffect(() => {\n const mountNode = canvasContainerRef.current;\n if (!mountNode) return;\n\n const sceneContinuous = new THREE.Scene();\n const sceneDiscrete = new THREE.Scene();\n const backgroundColor = new THREE.Color(SCENE_BACKGROUND);\n\n sceneContinuous.background = backgroundColor;\n sceneContinuous.fog = new THREE.FogExp2(SCENE_BACKGROUND, 0.02);\n sceneDiscrete.background = backgroundColor;\n sceneDiscrete.fog = new THREE.FogExp2(SCENE_BACKGROUND, 0.02);\n\n setupLights(sceneContinuous);\n setupLights(sceneDiscrete);\n\n const camera = new THREE.PerspectiveCamera(45, 1, 0.1, 1000);\n camera.position.copy(DEFAULT_CAMERA_POSITION);\n\n const renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true });\n renderer.shadowMap.enabled = true;\n renderer.shadowMap.type = THREE.PCFSoftShadowMap;\n renderer.setPixelRatio(Math.min(window.devicePixelRatio, 2));\n renderer.setScissorTest(true);\n mountNode.appendChild(renderer.domElement);\n\n const controls = new OrbitControls(camera, renderer.domElement);\n controls.enableDamping = true;\n controls.dampingFactor = 0.05;\n controls.minDistance = 5;\n controls.maxDistance = 100;\n controls.target.copy(DEFAULT_CAMERA_TARGET);\n\n const torusGeometry = new THREE.TorusGeometry(majorRadius, minorRadius, 64, 128);\n const torusMaterial = new THREE.MeshStandardMaterial({\n color: 0x3b82f6,\n roughness: 0.22,\n metalness: 0.1\n });\n const torusMesh = new THREE.Mesh(torusGeometry, torusMaterial);\n torusMesh.castShadow = true;\n torusMesh.receiveShadow = true;\n torusMesh.rotation.x = -Math.PI / 2;\n sceneContinuous.add(torusMesh);\n\n const voxelGap = voxelSize * 0.12;\n const voxelEdge = Math.max(voxelSize - voxelGap, voxelSize * 0.2);\n const voxelGeometry = new THREE.BoxGeometry(voxelEdge, voxelEdge, voxelEdge);\n const solidMaterial = new THREE.MeshStandardMaterial({\n color: 0x3b82f6,\n roughness: 0.22,\n metalness: 0.1\n });\n const emptyMaterial = new THREE.MeshBasicMaterial({\n color: 0x000000,\n transparent: true,\n opacity: 0.08,\n wireframe: true\n });\n\n const totalVoxels = Math.pow(resolution, 3);\n const solidMesh = new THREE.InstancedMesh(voxelGeometry, solidMaterial, totalVoxels);\n const emptyMesh = new THREE.InstancedMesh(voxelGeometry, emptyMaterial, totalVoxels);\n const voxelOffset = ((resolution - 1) * voxelSize) / 2;\n const dummy = new THREE.Object3D();\n\n solidMesh.castShadow = true;\n solidMesh.receiveShadow = true;\n sceneDiscrete.add(solidMesh);\n sceneDiscrete.add(emptyMesh);\n\n let solidCount = 0;\n let emptyCount = 0;\n\n for (let x = 0; x < resolution; x += 1) {\n for (let y = 0; y < resolution; y += 1) {\n for (let z = 0; z < resolution; z += 1) {\n const px = x * voxelSize - voxelOffset;\n const py = y * voxelSize - voxelOffset;\n const pz = z * voxelSize - voxelOffset;\n const distHorizontal = Math.sqrt(px * px + pz * pz) - majorRadius;\n const distSquared = distHorizontal * distHorizontal + py * py;\n const isSolid = distSquared < minorRadius * minorRadius;\n\n dummy.position.set(px, py, pz);\n dummy.updateMatrix();\n\n if (isSolid) {\n solidMesh.setMatrixAt(solidCount, dummy.matrix);\n const color = new THREE.Color();\n const hue = 0.52 + (py / Math.max(resolution, 1)) * 0.18;\n color.setHSL(hue, 0.78, 0.52);\n solidMesh.setColorAt(solidCount, color);\n solidCount += 1;\n continue;\n }\n\n emptyMesh.setMatrixAt(emptyCount, dummy.matrix);\n emptyCount += 1;\n }\n }\n }\n\n solidMesh.count = solidCount;\n emptyMesh.count = emptyCount;\n solidMesh.instanceMatrix.needsUpdate = true;\n emptyMesh.instanceMatrix.needsUpdate = true;\n if (solidMesh.instanceColor) {\n solidMesh.instanceColor.needsUpdate = true;\n }\n\n const targetCameraPosition = DEFAULT_CAMERA_POSITION.clone();\n const targetControlsPosition = DEFAULT_CAMERA_TARGET.clone();\n let animateCamera = false;\n let resetTimer: number | null = null;\n let width = 0;\n let height = 0;\n\n const resize = () => {\n width = mountNode.clientWidth;\n height = mountNode.clientHeight;\n\n if (!width || !height) return;\n\n camera.aspect = 1;\n camera.updateProjectionMatrix();\n renderer.setSize(width, height, false);\n };\n\n const resizeObserver = new ResizeObserver(resize);\n resizeObserver.observe(mountNode);\n resize();\n\n const handleControlsStart = () => {\n animateCamera = false;\n if (resetTimer !== null) {\n window.clearTimeout(resetTimer);\n resetTimer = null;\n }\n };\n\n const handleControlsEnd = () => {\n resetTimer = window.setTimeout(() => {\n animateCamera = true;\n }, RESET_DELAY_MS);\n };\n\n controls.addEventListener('start', handleControlsStart);\n controls.addEventListener('end', handleControlsEnd);\n\n let animationFrame = 0;\n\n const renderFrame = () => {\n animationFrame = window.requestAnimationFrame(renderFrame);\n\n if (animateCamera) {\n camera.position.lerp(targetCameraPosition, 0.05);\n controls.target.lerp(targetControlsPosition, 0.05);\n\n if (\n camera.position.distanceTo(targetCameraPosition) < 0.1 &&\n controls.target.distanceTo(targetControlsPosition) < 0.1\n ) {\n animateCamera = false;\n }\n }\n\n torusMesh.rotation.z += 0.002;\n solidMesh.rotation.y += 0.002;\n emptyMesh.rotation.y += 0.002;\n emptyMesh.visible = false;\n\n controls.update();\n\n if (!width || !height) return;\n\n const isLandscape = width >= height;\n const squareSize = isLandscape ? Math.min(width / 2, height) : Math.min(width, height / 2);\n const startX = isLandscape ? (width - squareSize * 2) / 2 : (width - squareSize) / 2;\n const startY = isLandscape ? (height - squareSize) / 2 : (height - squareSize * 2) / 2;\n\n const continuousX = startX;\n const continuousY = isLandscape ? startY : startY + squareSize;\n const discreteX = isLandscape ? startX + squareSize : startX;\n const discreteY = startY;\n\n renderer.setScissor(continuousX, continuousY, squareSize, squareSize);\n renderer.setViewport(continuousX, continuousY, squareSize, squareSize);\n renderer.render(sceneContinuous, camera);\n\n renderer.setScissor(discreteX, discreteY, squareSize, squareSize);\n renderer.setViewport(discreteX, discreteY, squareSize, squareSize);\n renderer.render(sceneDiscrete, camera);\n };\n\n renderFrame();\n\n return () => {\n window.cancelAnimationFrame(animationFrame);\n if (resetTimer !== null) {\n window.clearTimeout(resetTimer);\n }\n resizeObserver.disconnect();\n controls.removeEventListener('start', handleControlsStart);\n controls.removeEventListener('end', handleControlsEnd);\n controls.dispose();\n renderer.dispose();\n disposeScene(sceneContinuous);\n disposeScene(sceneDiscrete);\n mountNode.removeChild(renderer.domElement);\n };\n }, [majorRadius, minorRadius, resolution, voxelSize]);\n\n const cssVars = useMemo(\n () =>\n ({\n '--gc-primary': theme?.primary ?? 'var(--color-primary, #45c4b0)',\n '--gc-accent': theme?.accent ?? 'var(--color-accent, #ff7a59)',\n '--gc-bg': theme?.bg ?? 'var(--color-bg, #0d1117)',\n '--gc-bg-secondary': theme?.bgSecondary ?? 'var(--color-bg-secondary, #182237)',\n '--gc-text': theme?.text ?? 'var(--color-text, #f1f4ef)',\n '--gc-text-muted': theme?.textMuted ?? 'var(--color-text-muted, #b6c0d4)',\n '--gc-border': theme?.border ?? 'var(--color-border, #34516f)'\n }) as CSSProperties,\n [theme]\n );\n\n const handleResolutionChange = (event: ChangeEvent) => {\n setResolution(Number(event.target.value));\n };\n\n return (\n
\n \n
\n
\n
Continuous
\n
Discrete
\n
\n
\n \n
\n
\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'voxel_universe',\n displayName: 'Voxel Universe',\n version: '1.0.0',\n paramSchema: {\n gridSize: {\n type: 'range',\n label: 'Voxel Resolution',\n description: 'How many voxels are used per axis. Higher values make each voxel smaller.',\n default: 24,\n min: 12,\n max: 80,\n step: 1\n },\n majorRadius: {\n type: 'range',\n label: 'Major Radius',\n description: 'Overall radius of the torus shape.',\n default: 8,\n min: 4,\n max: 10,\n step: 0.5\n },\n minorRadius: {\n type: 'range',\n label: 'Minor Radius',\n description: 'Thickness of the torus ring.',\n default: 3,\n min: 1,\n max: 5,\n step: 0.25\n }\n },\n defaultParams: {\n gridSize: 24,\n majorRadius: 8,\n minorRadius: 3\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult,\n GlitchTheme,\n GlitchComponentMetadata\n} from 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b/dist/vendor/glitch/glitch_assumption_toggle/Component.d.ts @@ -0,0 +1,2 @@ +import type { GlitchComponentProps } from './types'; +export default function AssumptionToggle({ config, onComplete, onProgress, theme, className, host }: GlitchComponentProps): import("react/jsx-runtime").JSX.Element; diff --git a/dist/vendor/glitch/glitch_assumption_toggle/assumption-toggle.js b/dist/vendor/glitch/glitch_assumption_toggle/assumption-toggle.js new file mode 100644 index 0000000..61be7ec --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/assumption-toggle.js @@ -0,0 +1,560 @@ +(function(){"use strict";try{if(typeof document<"u"){var t=document.createElement("style");t.appendChild(document.createTextNode('.gc-assumption-toggle{--shell-bg: radial-gradient(circle at top, rgba(40, 58, 34, .35), transparent 42%), linear-gradient(180deg, #070a08, #0f160f 58%, #090b09);--screen-bg: #616161;--screen-error: #7f1d1d;--screen-glow: rgba(0, 0, 0, .5);--text-primary: var(--gc-text, 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.crt-screen{position:relative;width:51.8%;height:66.3%;transform:translateY(.6%);background:var(--screen-bg);border-radius:7.5%;display:flex;justify-content:center;align-items:center;overflow:hidden;box-shadow:inset 0 0 40px var(--screen-glow);transition:background-color .4s ease}.gc-assumption-toggle .crt-screen.paradox-errors{background:var(--screen-error)}.gc-assumption-toggle .crt-screen:after{content:"";position:absolute;top:0;right:0;bottom:0;left:0;background:linear-gradient(rgba(18,16,16,0) 50%,rgba(0,0,0,.24) 50%),linear-gradient(90deg,rgba(255,0,0,.05),rgba(0,255,0,.02),rgba(0,0,255,.05));background-size:100% 2px,3px 100%;pointer-events:none;z-index:20}.gc-assumption-toggle .slides-wrapper{width:100%;height:100%;display:flex;justify-content:center;align-items:center;transform-origin:center}.gc-assumption-toggle .slide{width:100%;height:100%;padding:20px;display:flex;flex-direction:column;justify-content:center;align-items:center}.gc-assumption-toggle 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rotate(-360deg)}}')),document.head.appendChild(t)}}catch(e){console.error("vite-plugin-css-injected-by-js",e)}})(); +import { jsx as A, jsxs as B } from "react/jsx-runtime"; +import { useState as h, useRef as O, useEffect as a } from "react"; +const HA = 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", cA = "glitch:play-sound", QA = "glitch:stop-sound", FA = "glitch:host:", P = { + click: "ui.button_click", + hover: "ui.button_hover", + computeStart: "machine.compute_start", + computeStep: "machine.compute_step", + computeDone: "machine.compute_done", + verdictStable: "machine.verdict_stable", + verdictAlert: "machine.verdict_alert" +}; +function J(w, C) { + typeof window > "u" || window.dispatchEvent(new CustomEvent(w, { detail: C })); +} +function o(w, C, D) { + try { + if (w != null && w.playSound) { + w.playSound(C, D); + return; + } + } catch { + } + J(cA, { id: C, payload: D }); +} +function Z(w, C, D) { + try { + if (w != null && w.stopSound) { + w.stopSound(C, D); + return; + } + } catch { + } + J(QA, { id: C, payload: D }); +} +function z(w, C, D) { + try { + if (w != null && w.emit) { + w.emit(C, D); + return; + } + } catch { + } + J(`${FA}${C}`, D); +} +const v = { + continuousUniverse: !0, + infinitePrecision: !0, + chunkParticles: !1 +}, E = { + "000": { + outcome: "Paradoxical", + intermediate: "Very very much information.", + description: "Space is supposed to be discrete, but each cell must contain ar arbitrary amount of information.", + visualClass: "paradox-point", + tone: "paradox" + }, + "001": { + outcome: "Digital Physics", + intermediate: "Instruction programs remain finite.", + description: "Stable but requires continuous rotational symmetry to be emergent", + visualClass: "stable-chunk", + tone: "stable" + }, + "010": { + outcome: "#1 Memory Paradox", + intermediate: "Move sets can scale to infinite length", + description: "Infinte memory per cell", + visualClass: "paradox-point", + tone: "paradox" + }, + "011": { + outcome: "#2 Memory Paradox", + intermediate: "Move sets can scale to infinite length", + description: "Chunky particles must grow without bound to hold infinite move set", + visualClass: "paradox-chunk", + tone: "paradox" + }, + 100: { + outcome: "Paradoxical", + intermediate: "Chunky geometry implies discrete space", + description: "A continuous universe with chunky particles spanning fundamental cells is a constadiction.", + visualClass: "non-standard-particle-point", + tone: "warning" + }, + 101: { + outcome: "Paradoxical", + intermediate: "The geometry breaks isotropy.", + description: "Continuous universe plus chunk particles that imply discrete space is a constradiction.", + visualClass: "non-standard-particle-chunk", + tone: "warning" + }, + 110: { + outcome: "Standard Physics", + intermediate: "The model remains isotropic.", + description: "Continuous space with infinite precision preserves the canonical picture.", + visualClass: "standard-particle-point", + tone: "stable" + }, + 111: { + outcome: "Contradictory", + intermediate: "Continuous universe cannot be combined with chunk particles.", + description: "Chunky cannot be not chunky", + visualClass: "standard-particle-chunk", + tone: "uncertain" + } +}, p = { + "000": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Point state exceeds single-cell information budget" }, + { label: "Verdict trace", value: "Single cell must have arbitrary information capacity" } + ], + "001": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "State remains compressible under finite instruction length" }, + { label: "Verdict trace", value: "Digital physics interpretation remains internally stable" } + ], + "010": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Each lattice cell requires unbounded memory" }, + { label: "Verdict trace", value: "Inconsistent with isotropy" } + ], + "011": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Chunk particle" }, + { label: "Consistency check", value: "Particles grow to express information" }, + { label: "Verdict trace", value: "Chunk particles grow to infinite size" } + ], + 100: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Severely demotivated" }, + { label: "Verdict trace", value: "No explanation for rejecting CRS. Smell detected." } + ], + 101: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "Space is quantized but cells infinitely small" }, + { label: "Verdict trace", value: "Non-standard hybrid geometry. Smell detected" } + ], + 110: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Canonical isotropic field picture remains intact" }, + { label: "Verdict trace", value: "Standard physics baseline recovered successfully" } + ], + 111: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "Inconsistent." }, + { label: "Verdict trace", value: "Chunk particle cannot be not chunky" } + ] +}; +function r(w, C) { + return typeof w == "boolean" ? w : C; +} +function f(w) { + return { + continuousUniverse: r(w == null ? void 0 : w.continuousUniverse, v.continuousUniverse), + infinitePrecision: r(w == null ? void 0 : w.infinitePrecision, v.infinitePrecision), + chunkParticles: r(w == null ? void 0 : w.chunkParticles, v.chunkParticles) + }; +} +function t(w) { + return [ + w.continuousUniverse ? "1" : "0", + w.infinitePrecision ? "1" : "0", + w.chunkParticles ? "1" : "0" + ].join(""); +} +function R(w) { + const C = w.continuousUniverse ? "Continuous universe" : "Discrete universe", D = w.infinitePrecision ? "Infinite precision" : "Finite precision", s = w.chunkParticles ? 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[]; + let Y = !1; + V([]), K(""); + const Q = (e, y) => { + if (Y) + return; + if (e >= g.length) { + L(() => { + if (Y) + return; + const F = E[H]; + o(i.current, P.computeDone, { state: H }), I("result", () => { + var m; + (m = W.current) == null || m.call(W, 100), o( + i.current, + F.tone === "stable" ? 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"paradox-errors" : ""}`, children: /* @__PURE__ */ B("div", { className: `slides-wrapper ${T}`, children: [ + x === "splash" && /* @__PURE__ */ A("div", { className: "slide slide-splash", children: /* @__PURE__ */ B("div", { className: "splash-content", children: [ + /* @__PURE__ */ A("h1", { children: "Foundational Assumption Recombinator Tool" }), + /* @__PURE__ */ A("h2", { children: "v1.0" }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button", + onClick: gA, + onMouseEnter: () => M("initialize"), + onFocus: () => M("initialize"), + children: "Initialize" + } + ) + ] }) }), + x === "controls" && /* @__PURE__ */ B("div", { className: "slide slide-controls", children: [ + /* @__PURE__ */ A("div", { className: "widget-header", children: /* @__PURE__ */ A("h1", { children: "Settings" }) }), + /* @__PURE__ */ B("div", { className: "switch-group", children: [ + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-universe`, + className: "switch-input", + type: "checkbox", + checked: G.continuousUniverse, + onChange: (g) => l("continuousUniverse", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-universe`, + onMouseEnter: () => M("toggle-universe"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Discrete Universe" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Continuous Universe" }) + ] + } + ) + ] }), + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-precision`, + className: "switch-input", + type: "checkbox", + checked: G.infinitePrecision, + onChange: (g) => l("infinitePrecision", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-precision`, + onMouseEnter: () => M("toggle-precision"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Finite Precision" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Infinite Precision" }) + ] + } + ) + ] }), + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-particles`, + className: "switch-input", + type: "checkbox", + checked: G.chunkParticles, + onChange: (g) => l("chunkParticles", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-particles`, + onMouseEnter: () => M("toggle-particles"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Point Particles" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Chunk Particles" }) + ] + } + ) + ] }) + ] }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button", + onClick: BA, + onMouseEnter: () => M("simulate"), + onFocus: () => M("simulate"), + children: "Simulate" + } + ) + ] }), + x === "result" && /* @__PURE__ */ B("div", { className: "slide slide-result", children: [ + /* @__PURE__ */ B("div", { className: "bottom-container", children: [ + /* @__PURE__ */ A("div", { className: "visualization-container", children: /* @__PURE__ */ A("div", { className: `art-canvas ${j.visualClass}`, children: /* @__PURE__ */ A(MA, { visualClass: j.visualClass }) }) }), + /* @__PURE__ */ B("div", { className: "result-container", children: [ + /* @__PURE__ */ A("div", { className: "summary-box", children: /* @__PURE__ */ A("span", { className: `result-value result-${j.tone}`, children: j.outcome }) }), + /* @__PURE__ */ A("div", { className: "summary-box", children: /* @__PURE__ */ A("div", { className: "intermediate-result", children: j.intermediate }) }), + /* @__PURE__ */ A("span", { className: "result-description", children: j.description }) + ] }) + ] }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button secondary", + onClick: sA, + onMouseEnter: () => M("back"), + onFocus: () => M("back"), + children: "Back" + } + ) + ] }), + x === "processing" && /* @__PURE__ */ A("div", { className: "slide slide-processing", children: /* @__PURE__ */ B("div", { className: "processing-shell", children: [ + /* @__PURE__ */ B("div", { className: "processing-header", children: [ + /* @__PURE__ */ A("span", { className: "processing-led" }), + /* @__PURE__ */ A("h2", { children: "Computing Assumption Matrix" }) + ] }), + /* @__PURE__ */ A("div", { className: "processing-subtitle", children: "Applying Constructor Theoretic Constraints" }), + /* @__PURE__ */ B("div", { className: "processing-terminal", children: [ + wA.map((g, Y) => /* @__PURE__ */ B("div", { className: "processing-line", children: [ + /* @__PURE__ */ A("span", { className: "processing-prompt", children: ">" }), + /* @__PURE__ */ A("span", { children: g }) + ] }, `${g}-${Y}`)), + /* @__PURE__ */ B("div", { className: "processing-line processing-line-active", children: [ + /* @__PURE__ */ A("span", { className: "processing-prompt", children: ">" }), + /* @__PURE__ */ A("span", { children: DA }), + /* @__PURE__ */ A("span", { className: "processing-cursor" }) + ] }) + ] }) + ] }) }) + ] }) }) }) }) }); +} +const jA = { + name: "assumption-toggle", + displayName: "Assumption Toggle", + version: "1.0.0", + paramSchema: { + continuousUniverse: { + type: "boolean", + label: "Continuous Universe", + description: "Toggle between a discrete and continuous universe model.", + default: !0 + }, + infinitePrecision: { + type: "boolean", + label: "Infinite Precision", + description: "Toggle between finite and infinite precision.", + default: !0 + }, + chunkParticles: { + type: "boolean", + label: "Chunk Particles", + description: "Toggle between point particles and chunk particles.", + default: !1 + } + }, + defaultParams: { + continuousUniverse: !0, + infinitePrecision: !0, + chunkParticles: !1 + } +}; +export { + xA as default, + jA as metadata +}; +//# sourceMappingURL=assumption-toggle.js.map diff --git a/dist/vendor/glitch/glitch_assumption_toggle/assumption-toggle.js.map b/dist/vendor/glitch/glitch_assumption_toggle/assumption-toggle.js.map new file mode 100644 index 0000000..d52bfd3 --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/assumption-toggle.js.map @@ -0,0 +1 @@ +{"version":3,"file":"assumption-toggle.js","sources":["../technoborder.png","../src/hostBridge.ts","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["export default 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\"","import type { GlitchHostBridge } from './types';\n\nexport const HOST_SOUND_EVENT = 'glitch:play-sound';\nexport const HOST_STOP_SOUND_EVENT = 'glitch:stop-sound';\nexport const HOST_EMIT_PREFIX = 'glitch:host:';\n\nexport const SOUND_IDS = {\n click: 'ui.button_click',\n hover: 'ui.button_hover',\n computeStart: 'machine.compute_start',\n computeStep: 'machine.compute_step',\n computeDone: 'machine.compute_done',\n verdictStable: 'machine.verdict_stable',\n verdictAlert: 'machine.verdict_alert'\n} as const;\n\nexport type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS];\n\nfunction dispatchWindowEvent(type: string, detail: T) {\n if (typeof window === 'undefined') return;\n window.dispatchEvent(new CustomEvent(type, { detail }));\n}\n\nexport function safePlaySound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.playSound) {\n host.playSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_SOUND_EVENT, { id, payload });\n}\n\nexport function safeStopSound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.stopSound) {\n host.stopSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_STOP_SOUND_EVENT, { id, payload });\n}\n\nexport function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown) {\n try {\n if (host?.emit) {\n host.emit(type, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(`${HOST_EMIT_PREFIX}${type}`, payload);\n}\n","import { useEffect, useRef, useState, type CSSProperties } from 'react';\nimport frameImage from '../technoborder.png';\nimport { SOUND_IDS, safeEmit, safePlaySound, safeStopSound } from './hostBridge';\nimport type { GlitchComponentProps } from './types';\n\ntype Screen = 'splash' | 'controls' | 'processing' | 'result';\ntype ProcessingLine = {\n label: string;\n value: string;\n};\ntype TransitionState = '' | 'crt-collapse' | 'crt-expand';\ntype VisualClass =\n | 'paradox-point'\n | 'stable-chunk'\n | 'paradox-chunk'\n | 'non-standard-particle-point'\n | 'non-standard-particle-chunk'\n | 'standard-particle-point'\n | 'standard-particle-chunk';\ntype OutcomeTone = 'stable' | 'warning' | 'paradox' | 'uncertain';\n\ntype ToggleState = {\n continuousUniverse: boolean;\n infinitePrecision: boolean;\n chunkParticles: boolean;\n};\n\ntype OutcomeDefinition = {\n outcome: string;\n description: string;\n intermediate: string;\n visualClass: VisualClass;\n tone: OutcomeTone;\n};\n\nconst DEFAULT_STATE: ToggleState = {\n continuousUniverse: true,\n infinitePrecision: true,\n chunkParticles: false\n};\n\nconst OUTCOMES: Record = {\n '000': {\n outcome: 'Paradoxical',\n intermediate: 'Very very much information.',\n description: 'Space is supposed to be discrete, but each cell must contain ar arbitrary amount of information.',\n visualClass: 'paradox-point',\n tone: 'paradox'\n },\n '001': {\n outcome: 'Digital Physics',\n intermediate: 'Instruction programs remain finite.',\n description: 'Stable but requires continuous rotational symmetry to be emergent',\n visualClass: 'stable-chunk',\n tone: 'stable'\n },\n '010': {\n outcome: '#1 Memory Paradox',\n intermediate: 'Move sets can scale to infinite length',\n description: 'Infinte memory per cell',\n visualClass: 'paradox-point',\n tone: 'paradox'\n },\n '011': {\n outcome: '#2 Memory Paradox',\n intermediate: 'Move sets can scale to infinite length',\n description: 'Chunky particles must grow without bound to hold infinite move set',\n visualClass: 'paradox-chunk',\n tone: 'paradox'\n },\n '100': {\n outcome: 'Paradoxical',\n intermediate: 'Chunky geometry implies discrete space',\n description: 'A continuous universe with chunky particles spanning fundamental cells is a constadiction.',\n visualClass: 'non-standard-particle-point',\n tone: 'warning'\n },\n '101': {\n outcome: 'Paradoxical',\n intermediate: 'The geometry breaks isotropy.',\n description: 'Continuous universe plus chunk particles that imply discrete space is a constradiction.',\n visualClass: 'non-standard-particle-chunk',\n tone: 'warning'\n },\n '110': {\n outcome: 'Standard Physics',\n intermediate: 'The model remains isotropic.',\n description: 'Continuous space with infinite precision preserves the canonical picture.',\n visualClass: 'standard-particle-point',\n tone: 'stable'\n },\n '111': {\n outcome: 'Contradictory',\n intermediate: 'Continuous universe cannot be combined with chunk particles.',\n description: 'Chunky cannot be not chunky',\n visualClass: 'standard-particle-chunk',\n tone: 'uncertain'\n }\n};\n\nconst PROCESSING_LOGS: Record = {\n \"000\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Point state exceeds single-cell information budget\" },\n { label: \"Verdict trace\", value: \"Single cell must have arbitrary information capacity\" }\n ],\n \"001\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"State remains compressible under finite instruction length\" },\n { label: \"Verdict trace\", value: \"Digital physics interpretation remains internally stable\" }\n ],\n \"010\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Each lattice cell requires unbounded memory\" },\n { label: \"Verdict trace\", value: \"Inconsistent with isotropy\" }\n ],\n \"011\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Chunk particle\" },\n { label: \"Consistency check\", value: \"Particles grow to express information\" },\n { label: \"Verdict trace\", value: \"Chunk particles grow to infinite size\" }\n ],\n \"100\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Severely demotivated\" },\n { label: \"Verdict trace\", value: \"No explanation for rejecting CRS. Smell detected.\" }\n ],\n \"101\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"Space is quantized but cells infinitely small\" },\n { label: \"Verdict trace\", value: \"Non-standard hybrid geometry. Smell detected\" }\n ],\n \"110\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Canonical isotropic field picture remains intact\" },\n { label: \"Verdict trace\", value: \"Standard physics baseline recovered successfully\" }\n ],\n \"111\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"Inconsistent.\" },\n { label: \"Verdict trace\", value: \"Chunk particle cannot be not chunky\" }\n ]\n};\n\nfunction coerceBoolean(value: unknown, fallback: boolean) {\n if (typeof value === 'boolean') return value;\n return fallback;\n}\n\nfunction readToggleState(params: Record | undefined): ToggleState {\n return {\n continuousUniverse: coerceBoolean(params?.continuousUniverse, DEFAULT_STATE.continuousUniverse),\n infinitePrecision: coerceBoolean(params?.infinitePrecision, DEFAULT_STATE.infinitePrecision),\n chunkParticles: coerceBoolean(params?.chunkParticles, DEFAULT_STATE.chunkParticles)\n };\n}\n\nfunction buildStateKey(state: ToggleState) {\n return [\n state.continuousUniverse ? '1' : '0',\n state.infinitePrecision ? '1' : '0',\n state.chunkParticles ? '1' : '0'\n ].join('');\n}\n\nfunction buildAssumptionsText(state: ToggleState) {\n const universe = state.continuousUniverse ? 'Continuous universe' : 'Discrete universe';\n const precision = state.infinitePrecision ? 'Infinite precision' : 'Finite precision';\n const particles = state.chunkParticles ? 'Chunk particles' : 'Point particles';\n return `${universe} + ${precision} + ${particles}`;\n}\n\nfunction getScore(outcome: OutcomeDefinition) {\n if (outcome.tone === 'stable') return 100;\n if (outcome.tone === 'uncertain') return 60;\n if (outcome.tone === 'warning') return 40;\n return 20;\n}\n\nfunction Visualization({ visualClass }: { visualClass: VisualClass }) {\n if (visualClass === 'paradox-point') {\n return (\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n ∞\n
\n
\n );\n }\n\n if (visualClass === 'stable-chunk') {\n return (\n
\n
\n {Array.from({ length: 9 }, (_, index) => (\n \n ))}\n
\n
\n \n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'paradox-chunk') {\n return (\n
\n
\n
\n
\n
\n
\n
\n
\n
\n {Array.from({ length: 10 }, (_, index) => (\n
\n
\n
\n
\n
\n
\n
\n
\n ))}\n
\n );\n }\n\n if (visualClass === 'non-standard-particle-point') {\n return (\n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'non-standard-particle-chunk') {\n return (\n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'standard-particle-point') {\n return (\n
\n
\n
\n
\n
\n
\n
\n \n \n \n
\n );\n }\n\n return (\n
\n
\n
\n
\n
\n
\n
\n \n \n \n
\n ?\n
\n
\n );\n}\n\nexport default function AssumptionToggle({\n config,\n onComplete,\n onProgress,\n theme,\n className,\n host\n}: GlitchComponentProps) {\n const [toggleState, setToggleState] = useState(() => readToggleState(config.params));\n const [screen, setScreen] = useState('splash');\n const [transitionState, setTransitionState] = useState('');\n const [result, setResult] = useState(() => OUTCOMES[buildStateKey(readToggleState(config.params))]);\n const [processingKey, setProcessingKey] = useState(() => buildStateKey(readToggleState(config.params)));\n const [processingAssumptions, setProcessingAssumptions] = useState(() =>\n buildAssumptionsText(readToggleState(config.params))\n );\n const [completedLines, setCompletedLines] = useState([]);\n const [activeLine, setActiveLine] = useState('');\n const timeoutsRef = useRef([]);\n const hostRef = useRef(host);\n const onCompleteRef = useRef(onComplete);\n const onProgressRef = useRef(onProgress);\n\n useEffect(() => {\n setToggleState(readToggleState(config.params));\n }, [config.params]);\n\n useEffect(() => {\n hostRef.current = host;\n onCompleteRef.current = onComplete;\n onProgressRef.current = onProgress;\n }, [host, onComplete, onProgress]);\n\n useEffect(() => {\n if (screen !== 'processing') return;\n\n const lines = PROCESSING_LOGS[processingKey] ?? [];\n let cancelled = false;\n\n setCompletedLines([]);\n setActiveLine('');\n\n const typeLine = (lineIndex: number, charIndex: number) => {\n if (cancelled) return;\n\n if (lineIndex >= lines.length) {\n queueTimeout(() => {\n if (cancelled) return;\n const finalResult = OUTCOMES[processingKey];\n safePlaySound(hostRef.current, SOUND_IDS.computeDone, { state: processingKey });\n runTransition('result', () => {\n onProgressRef.current?.(100);\n safePlaySound(\n hostRef.current,\n finalResult.tone === 'stable' ? SOUND_IDS.verdictStable : SOUND_IDS.verdictAlert,\n { state: processingKey, outcome: finalResult.outcome }\n );\n safeEmit(hostRef.current, 'verdict-ready', {\n state: processingKey,\n outcome: finalResult.outcome,\n tone: finalResult.tone\n });\n onCompleteRef.current({\n success: true,\n score: getScore(finalResult),\n data: {\n assumptions: processingAssumptions,\n state: processingKey,\n outcome: finalResult.outcome,\n intermediate: finalResult.intermediate,\n description: finalResult.description,\n processingTrace: PROCESSING_LOGS[processingKey].map((entry) => `${entry.label}: ${entry.value}`)\n }\n });\n });\n }, 520);\n return;\n }\n\n const fullLine = `${lines[lineIndex].label}: ${lines[lineIndex].value}`;\n\n if (charIndex <= fullLine.length) {\n if (charIndex === 0) {\n safePlaySound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey, lineIndex });\n }\n setActiveLine(fullLine.slice(0, charIndex));\n queueTimeout(() => typeLine(lineIndex, charIndex + 1), 24);\n return;\n }\n\n setCompletedLines((current) => [...current, fullLine]);\n setActiveLine('');\n if (lineIndex === lines.length - 1) {\n safeStopSound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey, lineIndex });\n }\n queueTimeout(() => typeLine(lineIndex + 1, 0), 170);\n };\n\n queueTimeout(() => typeLine(0, 0), 180);\n\n return () => {\n cancelled = true;\n safeStopSound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey });\n };\n }, [processingAssumptions, processingKey, screen]);\n\n useEffect(() => {\n return () => {\n clearQueuedTimeouts();\n };\n }, []);\n\n function clearQueuedTimeouts() {\n for (const timeout of timeoutsRef.current) {\n window.clearTimeout(timeout);\n }\n timeoutsRef.current = [];\n }\n\n function queueTimeout(callback: () => void, delay: number) {\n const timeout = window.setTimeout(callback, delay);\n timeoutsRef.current.push(timeout);\n }\n\n function runTransition(nextScreen: Screen, onSwapped?: () => void) {\n clearQueuedTimeouts();\n setTransitionState('crt-collapse');\n queueTimeout(() => {\n setScreen(nextScreen);\n onSwapped?.();\n setTransitionState('crt-expand');\n queueTimeout(() => {\n setTransitionState('');\n }, 110);\n }, 110);\n }\n\n function setToggle(key: K, value: ToggleState[K]) {\n setToggleState(current => ({ ...current, [key]: value }));\n safePlaySound(host, SOUND_IDS.click, { control: key, value });\n }\n\n function handleUiHover(target: string) {\n safePlaySound(host, SOUND_IDS.hover, { target });\n }\n\n function handleInitialize() {\n safeEmit(host, 'session-started', { component: config.name, id: config.id });\n onProgress?.(10);\n runTransition('controls');\n }\n\n function handleSimulate() {\n const nextKey = buildStateKey(toggleState);\n const nextResult = OUTCOMES[nextKey];\n const nextAssumptions = buildAssumptionsText(toggleState);\n setProcessingKey(nextKey);\n setProcessingAssumptions(nextAssumptions);\n setResult(nextResult);\n safePlaySound(host, SOUND_IDS.computeStart, { state: nextKey });\n safeEmit(host, 'processing-started', {\n state: nextKey,\n assumptions: nextAssumptions\n });\n onProgress?.(45);\n runTransition('processing', () => {\n onProgress?.(70);\n });\n }\n\n function handleBack() {\n clearQueuedTimeouts();\n safeStopSound(host, SOUND_IDS.computeStep, { state: processingKey });\n safeEmit(host, 'returned-to-controls', { state: processingKey });\n onProgress?.(20);\n runTransition('controls');\n }\n\n const assumptionsText = buildAssumptionsText(toggleState);\n const showParadoxScreen = screen === 'result' && result.visualClass.includes('paradox');\n const rootStyle = {\n '--gc-primary': theme?.primary || '#248a00',\n '--gc-accent': theme?.accent || '#1c6a00',\n '--gc-bg': theme?.bg || '#ffffff',\n '--gc-bg-secondary': theme?.bgSecondary || '#616161',\n '--gc-text': theme?.text || '#0f172a',\n '--gc-text-muted': theme?.textMuted || '#eaffd8',\n '--gc-border': theme?.border || 'rgba(255,255,255,0.12)',\n '--assumption-frame-image': `url(${frameImage})`\n } as CSSProperties;\n\n return (\n
\n
\n
\n
\n
\n {screen === 'splash' && (\n
\n
\n

Foundational Assumption Recombinator Tool

\n

v1.0

\n handleUiHover('initialize')}\n onFocus={() => handleUiHover('initialize')}\n >\n Initialize\n \n
\n
\n )}\n\n {screen === 'controls' && (\n
\n
\n

Settings

\n
\n\n
\n
\n setToggle('continuousUniverse', event.target.checked)}\n />\n handleUiHover('toggle-universe')}\n >\n Discrete Universe\n Continuous Universe\n \n
\n\n
\n setToggle('infinitePrecision', event.target.checked)}\n />\n handleUiHover('toggle-precision')}\n >\n Finite Precision\n Infinite Precision\n \n
\n\n
\n setToggle('chunkParticles', event.target.checked)}\n />\n handleUiHover('toggle-particles')}\n >\n Point Particles\n Chunk Particles\n \n
\n
\n\n handleUiHover('simulate')}\n onFocus={() => handleUiHover('simulate')}\n >\n Simulate\n \n
\n )}\n\n {screen === 'result' && (\n
\n
\n
\n
\n \n
\n
\n\n
\n \n
\n {result.outcome}\n
\n\n
\n \n
{result.intermediate}
\n
\n {result.description}\n
\n\n \n
\n\n handleUiHover('back')}\n onFocus={() => handleUiHover('back')}\n >\n Back\n \n
\n )}\n\n {screen === 'processing' && (\n
\n
\n
\n \n

Computing Assumption Matrix

\n
\n
Applying Constructor Theoretic Constraints
\n
\n {completedLines.map((line, index) => (\n
\n >\n {line}\n
\n ))}\n
\n >\n {activeLine}\n \n
\n
\n
\n
\n )}\n
\n
\n
\n
\n
\n );\n}\n","import './styles.css';\nimport Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'assumption-toggle',\n displayName: 'Assumption Toggle',\n version: '1.0.0',\n paramSchema: {\n continuousUniverse: {\n type: 'boolean',\n label: 'Continuous Universe',\n description: 'Toggle between a discrete and continuous universe model.',\n default: true\n },\n infinitePrecision: {\n type: 'boolean',\n label: 'Infinite Precision',\n description: 'Toggle between finite and infinite precision.',\n default: true\n },\n chunkParticles: {\n type: 'boolean',\n label: 'Chunk Particles',\n description: 'Toggle between point particles and chunk particles.',\n default: false\n }\n },\n defaultParams: {\n continuousUniverse: true,\n infinitePrecision: true,\n chunkParticles: false\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n 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\ No newline at end of file diff --git a/dist/vendor/glitch/glitch_assumption_toggle/dev.d.ts b/dist/vendor/glitch/glitch_assumption_toggle/dev.d.ts new file mode 100644 index 0000000..2c068e0 --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/dev.d.ts @@ -0,0 +1 @@ +import './dev-theme.css'; diff --git a/dist/vendor/glitch/glitch_assumption_toggle/devHostBridge.d.ts b/dist/vendor/glitch/glitch_assumption_toggle/devHostBridge.d.ts new file mode 100644 index 0000000..3fba17e --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/devHostBridge.d.ts @@ -0,0 +1,8 @@ +import type { GlitchHostBridge } from './types'; +export type DevHostBridgeOptions = { + isMuted?: () => boolean; + onSound?: (id: string, payload?: Record) => void; + onEmit?: (type: string, payload?: unknown) => void; +}; +export declare function createDevHostBridge(options?: DevHostBridgeOptions): GlitchHostBridge; +export declare function attachWindowSoundBridge(host: GlitchHostBridge): () => void; diff --git a/dist/vendor/glitch/glitch_assumption_toggle/glitch.manifest.json b/dist/vendor/glitch/glitch_assumption_toggle/glitch.manifest.json new file mode 100644 index 0000000..15df320 --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "assumption-toggle", + "displayName": "Assumption Toggle", + "version": "1.0.0", + "folderName": "glitch_assumption_toggle", + "packageName": "@nommo/assumption-toggle", + "entry": "dist/assumption-toggle.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "crt", + "logic" + ] +} diff --git a/dist/vendor/glitch/glitch_assumption_toggle/hostBridge.d.ts b/dist/vendor/glitch/glitch_assumption_toggle/hostBridge.d.ts new file mode 100644 index 0000000..fa85f46 --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/hostBridge.d.ts @@ -0,0 +1,17 @@ +import type { GlitchHostBridge } from './types'; +export declare const HOST_SOUND_EVENT = "glitch:play-sound"; +export declare const HOST_STOP_SOUND_EVENT = "glitch:stop-sound"; +export declare const HOST_EMIT_PREFIX = "glitch:host:"; +export declare const SOUND_IDS: { + readonly click: "ui.button_click"; + readonly hover: "ui.button_hover"; + readonly computeStart: "machine.compute_start"; + readonly computeStep: "machine.compute_step"; + readonly computeDone: "machine.compute_done"; + readonly verdictStable: "machine.verdict_stable"; + readonly verdictAlert: "machine.verdict_alert"; +}; +export type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS]; +export declare function safePlaySound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeStopSound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown): void; diff --git a/dist/vendor/glitch/glitch_assumption_toggle/index.d.ts b/dist/vendor/glitch/glitch_assumption_toggle/index.d.ts new file mode 100644 index 0000000..40a25ac --- /dev/null +++ b/dist/vendor/glitch/glitch_assumption_toggle/index.d.ts @@ -0,0 +1,6 @@ +import './styles.css'; +import Component from './Component'; +import type { GlitchComponentMetadata } from './types'; +export default Component; +export declare const metadata: GlitchComponentMetadata; +export type { GlitchComponentProps, GlitchComponentConfig, GlitchComponentResult } from './types'; diff --git a/dist/vendor/glitch/glitch_assumption_toggle/sounds/.DS_Store b/dist/vendor/glitch/glitch_assumption_toggle/sounds/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0qxn%n!URkn6(-IdLXz?4p9YLOEGEzN0F2CFOz}@* 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string; + version: string; + params: Record; +} +export interface GlitchHostBridge { + playSound?: (id: string, payload?: Record) => void; + stopSound?: (id: string, payload?: Record) => void; + emit?: (type: string, payload?: unknown) => void; +} +export interface GlitchComponentProps { + config: GlitchComponentConfig; + onComplete: (result: GlitchComponentResult) => void; + onProgress?: (percent: number) => void; + theme?: GlitchTheme; + className?: string; + host?: GlitchHostBridge; +} +export interface GlitchComponentResult { + success: boolean; + score?: number; + data?: unknown; + error?: string; +} +export interface GlitchTheme { + primary: string; + accent: string; + bg: string; + bgSecondary: string; + text: string; + textMuted: string; + border: string; +} +export interface GlitchComponentMetadata { + name: string; + displayName: string; + version: string; + paramSchema: ParamSchema; + defaultParams: Record; +} +export interface ParamSchema { + [key: string]: { + type: 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"};function $0({type:v}){if(v==="count-wavelength-time")return f.jsx("div",{className:"ccd-mini-diagram ccd-mini-diagram-grid","aria-hidden":"true",children:Array.from({length:12},(b,o)=>f.jsx("span",{className:"ccd-mini-diagram-grid-cell",style:{opacity:.28+o%4*.14}},o))});const z=v==="count-time"?[.28,.58,.38,.76,.46,.66]:v==="energy-time"?[.22,.5,.42,.88,.56,.72]:[.2,.32,.48,.84,.6,.3];return f.jsx("div",{className:"ccd-mini-diagram","aria-hidden":"true",children:z.map((b,o)=>f.jsx("span",{className:`ccd-mini-diagram-bar${v!=="count-time"?" is-energy":""}`,style:{height:`${b*100}%`}},o))})}function F0({page:v,onSelect:z,showGuide:b,onToggleGuide:o}){const A=v==="receptor",_=v==="photon",C=v==="eventlist";return f.jsxs("section",{className:"ccd-selector","aria-label":"Visualization selector",children:[f.jsxs("div",{className:"ccd-selector-root",children:[f.jsx("span",{className:"ccd-stat-label",children:"These plots are different ways of binning the same event list."}),f.jsx("p",{children:"Everything begins with the CCD receiving photons. 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The energy of all the photons in each frequency bin integrated over some period (here last 12 secs) gives us the shape of the spectrum during that time."},uv={stepLabel:"Step 6",title:"Spectral power",body:"Spectral power reveals the energy distribution, and it´s very important for many applications. It can tell us a lot about how stars work"};function cv({spectrogramBins:v}){const z=Math.max(...v.flat(),1);return f.jsx("div",{className:"ccd-page",children:f.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[f.jsxs("div",{className:"ccd-chart-head",children:[f.jsx("span",{className:"ccd-stat-label",children:"Clicks per 1.0 s time bin"}),f.jsxs("strong",{children:[Ke," time bins x ",$l.length," frequency bins"]})]}),f.jsxs("div",{className:"ccd-spectrogram-shell",children:[f.jsx("div",{className:"ccd-spectrogram-axis",children:$l.map(b=>f.jsx("span",{children:b.label},b.label))}),f.jsx("div",{className:"ccd-spectrogram","aria-label":"Spectrogram heat map",children:$l.map((b,o)=>f.jsx("div",{className:"ccd-spectrogram-row",children:v[o].map((A,_)=>f.jsx("span",{className:"ccd-spectrogram-cell",style:{background:je(o,A/z),boxShadow:A>0?`0 0 0.8rem ${je(o,A/z)}`:"none"}},`${b.label}-${_}`))},b.label))})]}),f.jsxs("div",{className:"ccd-spectrogram-footer",children:[f.jsx("span",{children:"Earlier"}),f.jsx("span",{children:"Now"})]})]})})}const iv={eyebrow:"Frequency X Time",title:"Periodo-spectro-gram!",description:"You can play around with the same data and make many charts! 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Maybe not for a lot of applications, but it looks pretty!"};function sv({fluxBins:v}){const z=v.some(il=>il>0)?v:[1.2,1.8,1.4,2.1,1.7,1.5,2.3,1.6,1.9,1.4,2,1.7],b=z.map((il,El)=>{const V=z.slice(0,El+1);return V.reduce((Rl,Tl)=>Rl+Tl,0)/V.length}),o=z[z.length-1]??0,A=z.reduce((il,El)=>il+El,0)/z.length,_=z.reduce((il,El)=>il+(El-A)**2,0)/z.length,C=Math.sqrt(_),L=Math.min(...z),O=Math.max(...z),E=Math.min(...b),G=Math.max(...b),H={min:Math.min(L,E),max:Math.max(O,G)},J=Sf(z,760,240,H),_l=M0(z,760,240,H),xl=Sf(b,760,240,H);return f.jsx("div",{className:"ccd-page",children:f.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[f.jsxs("div",{className:"ccd-chart-head",children:[f.jsx("span",{className:"ccd-stat-label",children:"Total energy per 1.0 s bin"}),f.jsxs("strong",{children:[o.toFixed(2)," energy units in latest bin"]})]}),f.jsxs("div",{className:"ccd-flux-chart-shell",children:[f.jsxs("svg",{className:"ccd-flux-chart",viewBox:"0 0 760 240","aria-label":"Total flux variability chart",preserveAspectRatio:"none",children:[f.jsxs("defs",{children:[f.jsxs("linearGradient",{id:"fluxArea",x1:"0",x2:"0",y1:"0",y2:"1",children:[f.jsx("stop",{offset:"0%",stopColor:"rgba(255, 113, 74, 0.40)"}),f.jsx("stop",{offset:"100%",stopColor:"rgba(125, 100, 255, 0.03)"})]}),f.jsxs("linearGradient",{id:"fluxLine",x1:"0",x2:"1",y1:"0",y2:"0",children:[f.jsx("stop",{offset:"0%",stopColor:"#ff8d66"}),f.jsx("stop",{offset:"55%",stopColor:"#ffd35d"}),f.jsx("stop",{offset:"100%",stopColor:"#8f7dff"})]})]}),z.map((il,El)=>{const V=760/z.length;return f.jsx("rect",{className:El%2===0?"ccd-flux-bin":"ccd-flux-bin ccd-flux-bin-alt",x:El*V,y:0,width:V,height:240},El)}),f.jsx("path",{className:"ccd-flux-area",d:_l,fill:"url(#fluxArea)"}),f.jsx("path",{className:"ccd-flux-line",d:J,stroke:"url(#fluxLine)"}),f.jsx("path",{className:"ccd-flux-mean-line",d:xl})]}),f.jsxs("div",{className:"ccd-flux-legend",children:[f.jsxs("span",{className:"ccd-flux-legend-item",children:[f.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-raw"}),f.jsx("span",{children:"Raw flux"})]}),f.jsxs("span",{className:"ccd-flux-legend-item",children:[f.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-mean"}),f.jsx("span",{children:"Running mean"})]})]}),f.jsxs("div",{className:"ccd-flux-axis",children:[f.jsx("span",{children:"Earlier"}),f.jsx("span",{children:"Now"})]})]}),f.jsxs("div",{className:"ccd-flux-metrics",children:[f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Mean flux"}),f.jsx("strong",{children:A.toFixed(4)})]}),f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Sigma"}),f.jsx("strong",{children:C.toFixed(4)})]}),f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Range"}),f.jsxs("strong",{children:[L.toFixed(4)," to ",O.toFixed(4)]})]})]})]})})}const ov={eyebrow:"Flux Variability",title:"Total flux periodogram",description:"If we focus on the energy instead of the count, we get the flux - energy per second. 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lightCell: Fe, + darkCell: Ye, + knight: Ve, + target: je, + readout: Xe, + readoutLine: Ke, + programPanel: Ze, + programTrack: ze, + placeholder: We, + step: qe, + stepExecuted: Je, + programButtons: Qe, + controlRow: et, + button: tt, + buttonPrimary: rt, + legend: nt, + promptOverlay: ot, + promptTitle: at, + promptText: st, + promptOptions: ct, + promptOption: lt, + promptSelected: it, + promptHint: dt +}, C = 8, h = { x: 0, y: C - 1 }, pt = 220, ut = 64, mt = 3, G = 100, ht = 5, gt = { + up: { dx: 0, dy: -1 }, + down: { dx: 0, dy: 1 }, + left: { dx: -1, dy: 0 }, + right: { dx: 1, dy: 0 } +}, _t = { + up: "↑", + down: "↓", + left: "←", + right: "→" +}, ge = [ + { dx: 0, dy: 1 }, + { dx: 1, dy: 1 }, + { dx: 1, dy: 2 }, + { dx: 1, dy: 3 }, + { dx: 2, dy: 3 }, + { dx: 1, dy: 5 }, + { dx: 1, dy: 6 } +], Z = (r, o, d) => Math.min(d, Math.max(o, r)), _e = (r) => r.x >= 0 && r.x < C && r.y >= 0 && r.y < C, yt = (r, o) => r.x === o.x && r.y === o.y, ce = (r, o) => o === 0 ? r : ce(o, r % o), ft = (r, o) => { + const d = Math.abs(o.x - r.x), p = Math.abs(o.y - r.y); + if (d === 0 && p === 0) return 0; + if (d === 0 || p === 0) return d + p; + const _ = ce(d, p); + return d / _ + p / _; +}, wt = (r) => new Promise((o) => { + window.setTimeout(o, r); +}), he = (r) => r === "Enter" || r === "NumpadEnter" || r === " " || r === "Space" || r === "Spacebar", bt = (r) => `${(r.x + 0.5) * G},${(r.y + 0.5) * G}`, z = (r) => Z(r, 0, ge.length - 1), ye = (r) => ge[z(r)], ae = (r) => { + const o = ye(r); + return o.dx + o.dy; +}, se = (r) => { + const o = ye(r), d = []; + for (let _ = 1; _ < C; _ += 1) { + const u = { + x: h.x + o.dx * _, + y: h.y - o.dy * _ + }; + if (!_e(u)) break; + Math.abs(u.x - h.x) + Math.abs(u.y - h.y) > ht && d.push(u); + } + if (d.length === 0) + return { + x: h.x + o.dx, + y: h.y - o.dy + }; + const p = Math.floor(Math.random() * d.length); + return d[p]; +}; +function Nt({ + config: r, + onComplete: o, + onProgress: d, + theme: p, + className: _ +}) { + const u = ne(() => { + const n = r.params.goalCaptures; + return typeof n != "number" ? mt : Z(Math.round(n), 1, 10); + }, [r.params.goalCaptures]), [v, le] = g(0), [N, W] = g(h), [$, ie] = g(() => se(0)), [y, q] = g([]), [B, U] = g([h]), [f, k] = g("idle"), [fe, O] = g(-1), [w, de] = g(0), [pe, L] = g(""), [R, F] = g("yes"), [I, Y] = g("continue"), [b, we] = g(!1), S = me(0), V = me(!1), i = f === "running", m = f === "gameOverPrompt" || f === "successPrompt" || f === "finished", J = ae(v), be = ne(() => p ? { + "--gc-primary": p.primary, + "--gc-accent": p.accent, + "--gc-bg": p.bg, + "--gc-bg-secondary": p.bgSecondary, + "--gc-text": p.text, + "--gc-text-muted": p.textMuted, + "--gc-border": p.border + } : {}, [p]); + oe(() => { + const n = w / u; + d == null || d(Math.round(Z(n * 100, 0, 100))); + }, [w, u, d]); + const j = x((n, t, s = "") => { + S.current += 1, k("idle"), le(z(n)), W(h), ie(se(n)), U([h]), O(-1), de(t), F("yes"), Y("continue"), L(s); + }, []), Q = x(() => { + j(v, 0, `Looking for a ${J}-step move set.`); + }, [v, J, j]), X = x((n = 0) => { + const t = z(v + 1), s = ae(t); + j(t, n, `Looking for a ${s}-step move set.`); + }, [v, j]), ee = x(() => { + V.current || (V.current = !0, S.current += 1, k("finished"), o({ + success: !1, + error: "Player chose no after game over.", + data: { + captures: w, + goalCaptures: u, + configId: r.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + hasEverSucceeded: b + } + })); + }, [w, r.id, u, b, o]), D = x(() => { + V.current || (V.current = !0, S.current += 1, k("finished"), o({ + success: !0, + score: 100, + data: { + captures: w, + goalCaptures: u, + configId: r.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + hasEverSucceeded: b + } + })); + }, [w, r.id, u, b, o]), M = x((n) => { + q((t) => i || m || t.length >= ut ? t : [...t, n]); + }, [m, i]), xe = x(() => { + i || m || q((n) => n.slice(0, -1)); + }, [m, i]), Ce = x(() => { + i || m || q([]); + }, [m, i]), Ne = x(() => { + S.current += 1, k("idle"), O(-1), L("Program stopped."); + }, []), Se = x(async () => { + if (i || m || y.length === 0) return; + const n = S.current + 1; + S.current = n; + let t = N, s = $, c = w, T = 0; + for (k("running"), O(-1), U([N]), L(""); S.current === n; ) + for (let P = 0; P < y.length; P += 1) { + if (await wt(pt), S.current !== n) return; + const H = y[P], K = gt[H], A = { + x: t.x + K.dx, + y: t.y + K.dy + }; + if (!_e(A)) { + k("gameOverPrompt"), F("yes"), O(-1), L(`Game over after ${T} step(s). Try again?`); + return; + } + if (T += 1, t = A, W(A), U((E) => [...E, A]), O(P), yt(A, s)) { + if (c += 1, de(c), we(!0), c >= u) { + k("successPrompt"), Y("continue"), O(-1), L(`Success. ${c} challenge(s) complete.`); + return; + } + const E = z(v + 1), re = se(E), Te = ae(E); + t = h, s = re, k("idle"), le(E), W(h), ie(re), U([h]), O(-1), L( + `Challenge ${c}/${u} complete. Looking for a ${Te}-step move set.` + ); + return; + } + } + }, [w, v, u, m, N, y, i, $]); + oe(() => { + const n = (t) => { + const s = { + ArrowUp: "up", + ArrowDown: "down", + ArrowLeft: "left", + ArrowRight: "right" + }; + if (f === "gameOverPrompt") { + if (t.key === "ArrowLeft" || t.key === "ArrowUp") { + t.preventDefault(), F("yes"); + return; + } + if (t.key === "ArrowRight" || t.key === "ArrowDown") { + t.preventDefault(), F("no"); + return; + } + he(t.key) && (t.preventDefault(), R === "yes" ? Q() : b ? D() : ee()); + return; + } + if (f === "successPrompt") { + if (t.key === "ArrowLeft" || t.key === "ArrowUp") { + t.preventDefault(), Y("continue"); + return; + } + if (t.key === "ArrowRight" || t.key === "ArrowDown") { + t.preventDefault(), Y("done"); + return; + } + he(t.key) && (t.preventDefault(), I === "continue" ? X() : D()); + return; + } + if (f !== "idle") return; + const c = s[t.key]; + c && (t.preventDefault(), M(c)); + }; + return window.addEventListener("keydown", n), () => { + window.removeEventListener("keydown", n); + }; + }, [ + M, + ee, + D, + R, + b, + f, + Q, + X, + I + ]), oe( + () => () => { + S.current += 1; + }, + [] + ); + const Pe = ne(() => { + const n = $.x - N.x, t = N.y - $.y, s = Math.abs(n), c = Math.abs(t), T = ft(N, $); + if (s === 0 && c === 0) + return { + angle: 0, + motifLength: T, + motif: "On target" + }; + if (s === 0 || c === 0) + return { + angle: s === 0 ? 90 : 0, + motifLength: T, + motif: s === 0 ? `${t >= 0 ? "U" : "D"} x ${c}` : `${n >= 0 ? "R" : "L"} x ${s}` + }; + const P = ce(s, c), H = s / P, K = c / P, A = `${n >= 0 ? "R" : "L"} x ${H}`, E = `${t >= 0 ? "U" : "D"} x ${K}`; + return { + angle: Math.atan2(c, s) * (180 / Math.PI), + motifLength: T, + motif: `${A}, ${E}` + }; + }, [N, $]), ve = Math.round(Z(w / u * 100, 0, 100)), $e = _ ? `${e.wrapper} ${_}` : e.wrapper, ue = C * G, ke = B.map(bt).join(" "), te = B[B.length - 1]; + return /* @__PURE__ */ a("div", { className: $e, style: be, children: /* @__PURE__ */ l( + "section", + { + className: `${e.frame} ${b ? e.frameSucceeded : ""}`, + "aria-label": "Chess move set trainer", + children: [ + /* @__PURE__ */ l("header", { className: e.header, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "The Chess Analogy" }), + /* @__PURE__ */ l("p", { className: e.statsLine, children: [ + "Captures ", + w, + "/", + u, + " • Progress ", + ve, + "% • Program ", + y.length, + " • Target ", + J + ] }) + ] }), + /* @__PURE__ */ a("div", { className: e.boardPanel, children: /* @__PURE__ */ l("div", { className: e.board, role: "grid", "aria-label": "8 by 8 checkerboard", children: [ + /* @__PURE__ */ l( + "svg", + { + className: e.trailOverlay, + viewBox: `0 0 ${ue} ${ue}`, + preserveAspectRatio: "none", + "aria-hidden": "true", + children: [ + B.length > 1 && /* @__PURE__ */ a("polyline", { className: e.trailPath, points: ke }), + te && /* @__PURE__ */ a( + "circle", + { + className: e.trailHead, + cx: (te.x + 0.5) * G, + cy: (te.y + 0.5) * G, + r: 6 + } + ) + ] + } + ), + Array.from({ length: C * C }).map((n, t) => { + const s = t % C, c = Math.floor(t / C), T = (s + c) % 2 === 1, P = N.x === s && N.y === c, H = $.x === s && $.y === c; + return /* @__PURE__ */ l( + "div", + { + className: `${e.cell} ${T ? e.darkCell : e.lightCell}`, + role: "gridcell", + "aria-label": `x ${s + 1}, y ${C - c}`, + children: [ + H && /* @__PURE__ */ a("span", { className: e.target, "aria-hidden": "true", children: "●" }), + P && /* @__PURE__ */ a("span", { className: e.knight, "aria-hidden": "true", children: "♞" }) + ] + }, + `${s}-${c}` + ); + }) + ] }) }), + /* @__PURE__ */ l("div", { className: e.readout, children: [ + /* @__PURE__ */ l("p", { className: e.readoutLine, children: [ + "Angle: ", + /* @__PURE__ */ l("strong", { children: [ + Pe.angle.toFixed(1), + "°" + ] }) + ] }), + !1 + ] }), + /* @__PURE__ */ l("div", { className: e.programPanel, children: [ + /* @__PURE__ */ l("div", { className: e.programTrack, "aria-live": "polite", children: [ + y.length === 0 && /* @__PURE__ */ a("span", { className: e.placeholder, children: "Empty move set" }), + y.map((n, t) => /* @__PURE__ */ a( + "span", + { + className: `${e.step} ${i && t === fe ? e.stepExecuted : ""}`, + children: _t[n] + }, + `${n}-${t}` + )) + ] }), + /* @__PURE__ */ l("div", { className: e.programButtons, children: [ + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("up"), disabled: i || m, children: "↑" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("left"), disabled: i || m, children: "←" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("down"), disabled: i || m, children: "↓" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("right"), disabled: i || m, children: "→" }) + ] }), + /* @__PURE__ */ l("div", { className: e.controlRow, children: [ + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: xe, disabled: i || m || y.length === 0, children: "Undo" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: Ce, disabled: i || m || y.length === 0, children: "Clear" }), + /* @__PURE__ */ a("button", { type: "button", className: e.buttonPrimary, onClick: i ? Ne : Se, disabled: m || y.length === 0, children: i ? "Stop" : "Run" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => X(), disabled: i, children: "Reset" }) + ] }), + pe && /* @__PURE__ */ a("p", { className: e.legend, children: pe }) + ] }), + f === "gameOverPrompt" && /* @__PURE__ */ l("div", { className: e.promptOverlay, role: "dialog", "aria-modal": "true", "aria-label": "Game over prompt", children: [ + /* @__PURE__ */ a("p", { className: e.promptTitle, children: "Game over" }), + /* @__PURE__ */ a("p", { className: e.promptText, children: b ? "Try again or stop?" : "Try again?" }), + /* @__PURE__ */ l("div", { className: e.promptOptions, children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${R === "yes" ? e.promptSelected : ""}`, + onClick: Q, + children: [ + R === "yes" ? "▶ " : "", + "Yes" + ] + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${R === "no" ? e.promptSelected : ""}`, + onClick: b ? D : ee, + children: [ + R === "no" ? "▶ " : "", + b ? "I'm done" : "No" + ] + } + ) + ] }), + /* @__PURE__ */ a("p", { className: e.promptHint, children: "Use arrows + Enter." }) + ] }), + f === "successPrompt" && /* @__PURE__ */ l("div", { className: e.promptOverlay, role: "dialog", "aria-modal": "true", "aria-label": "Success prompt", children: [ + /* @__PURE__ */ a("p", { className: e.promptTitle, children: "Success" }), + /* @__PURE__ */ a("p", { className: e.promptText, children: "Continue?" }), + /* @__PURE__ */ l("div", { className: e.promptOptions, children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${I === "continue" ? e.promptSelected : ""}`, + onClick: () => X(), + children: [ + I === "continue" ? "▶ " : "", + "Yes" + ] + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${I === "done" ? e.promptSelected : ""}`, + onClick: D, + children: [ + I === "done" ? "▶ " : "", + "I'm done" + ] + } + ) + ] }), + /* @__PURE__ */ a("p", { className: e.promptHint, children: "Use arrows + Enter." }) + ] }) + ] + } + ) }); +} +const St = { + name: "chess_analogy", + displayName: "Chess Move Set Lab", + version: "1.0.0", + paramSchema: { + goalCaptures: { + type: "range", + label: "Targets To Capture", + description: "How many red targets must be captured before completion.", + default: 3, + min: 1, + max: 10, + step: 1 + } + }, + defaultParams: { + goalCaptures: 3 + } +}; +export { + Nt as default, + St as metadata +}; +//# sourceMappingURL=chess_analogy.js.map diff --git a/dist/vendor/glitch/glitch_chess_analogy/chess_analogy.js.map b/dist/vendor/glitch/glitch_chess_analogy/chess_analogy.js.map new file mode 100644 index 0000000..b50a25d --- /dev/null +++ b/dist/vendor/glitch/glitch_chess_analogy/chess_analogy.js.map @@ -0,0 +1 @@ +{"version":3,"file":"chess_analogy.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useEffect, useMemo, useRef, useState } from 'react'\nimport type { CSSProperties } from 'react'\nimport type { GlitchComponentProps } from './types'\nimport styles from './styles.module.css'\n\nconst BOARD_SIZE = 8\nconst START_POS = { x: 0, y: BOARD_SIZE - 1 }\nconst MOVE_DELAY_MS = 220\nconst MAX_PROGRAM_LENGTH = 64\nconst DEFAULT_GOAL_CAPTURES = 3\nconst SVG_CELL_SIZE = 100\nconst MIN_TARGET_DISTANCE = 5\n\ntype Direction = 'up' | 'down' | 'left' | 'right'\ntype GameMode = 'idle' | 'running' | 'gameOverPrompt' | 'successPrompt' | 'finished'\ntype GameOverChoice = 'yes' | 'no'\ntype SuccessChoice = 'continue' | 'done'\n\ninterface Position {\n x: number\n y: number\n}\n\ninterface StepVector {\n dx: number\n dy: number\n}\n\ninterface ChallengePattern {\n dx: number\n dy: number\n}\n\nconst VECTOR_BY_DIRECTION: Record = {\n up: { dx: 0, dy: -1 },\n down: { dx: 0, dy: 1 },\n left: { dx: -1, dy: 0 },\n right: { dx: 1, dy: 0 }\n}\n\nconst ARROW_BY_DIRECTION: Record = {\n up: '↑',\n down: '↓',\n left: '←',\n right: '→'\n}\n\nconst CHALLENGE_PATTERNS: ChallengePattern[] = [\n { dx: 0, dy: 1 },\n { dx: 1, dy: 1 },\n { dx: 1, dy: 2 },\n { dx: 1, dy: 3 },\n { dx: 2, dy: 3 },\n { dx: 1, dy: 5 },\n { dx: 1, dy: 6 }\n]\n\nconst clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value))\n\nconst isInsideBoard = (position: Position) =>\n position.x >= 0 && position.x < BOARD_SIZE && position.y >= 0 && position.y < BOARD_SIZE\n\nconst samePosition = (a: Position, b: Position) => a.x === b.x && a.y === b.y\n\nconst gcd = (a: number, b: number): number => {\n if (b === 0) return a\n return gcd(b, a % b)\n}\n\nconst getMoveSetLength = (from: Position, to: Position) => {\n const dx = Math.abs(to.x - from.x)\n const dy = Math.abs(to.y - from.y)\n\n if (dx === 0 && dy === 0) return 0\n if (dx === 0 || dy === 0) return dx + dy\n\n const divisor = gcd(dx, dy)\n return dx / divisor + dy / divisor\n}\n\nconst wait = (ms: number) =>\n new Promise((resolve) => {\n window.setTimeout(resolve, ms)\n })\n\nconst isConfirmKey = (key: string) =>\n key === 'Enter' || key === 'NumpadEnter' || key === ' ' || key === 'Space' || key === 'Spacebar'\n\nconst toSvgPoint = (position: Position) =>\n `${(position.x + 0.5) * SVG_CELL_SIZE},${(position.y + 0.5) * SVG_CELL_SIZE}`\n\nconst getChallengeIndex = (index: number) => clamp(index, 0, CHALLENGE_PATTERNS.length - 1)\n\nconst getPatternForChallenge = (challengeIndex: number) => CHALLENGE_PATTERNS[getChallengeIndex(challengeIndex)]\n\nconst getComplexityForChallenge = (challengeIndex: number) => {\n const pattern = getPatternForChallenge(challengeIndex)\n return pattern.dx + pattern.dy\n}\n\nconst getRandomTargetForChallenge = (challengeIndex: number): Position => {\n const pattern = getPatternForChallenge(challengeIndex)\n const candidates: Position[] = []\n\n for (let multiplier = 1; multiplier < BOARD_SIZE; multiplier += 1) {\n const candidate = {\n x: START_POS.x + pattern.dx * multiplier,\n y: START_POS.y - pattern.dy * multiplier\n }\n\n if (!isInsideBoard(candidate)) break\n\n const distance = Math.abs(candidate.x - START_POS.x) + Math.abs(candidate.y - START_POS.y)\n if (distance > MIN_TARGET_DISTANCE) {\n candidates.push(candidate)\n }\n }\n\n if (candidates.length === 0) {\n return {\n x: START_POS.x + pattern.dx,\n y: START_POS.y - pattern.dy\n }\n }\n\n const randomIndex = Math.floor(Math.random() * candidates.length)\n return candidates[randomIndex]\n}\n\nexport default function Component({\n config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const goalCaptures = useMemo(() => {\n const configured = config.params.goalCaptures\n if (typeof configured !== 'number') return DEFAULT_GOAL_CAPTURES\n return clamp(Math.round(configured), 1, 10)\n }, [config.params.goalCaptures])\n\n const [challengeIndex, setChallengeIndex] = useState(0)\n const [piece, setPiece] = useState(START_POS)\n const [target, setTarget] = useState(() => getRandomTargetForChallenge(0))\n const [program, setProgram] = useState([])\n const [trailPoints, setTrailPoints] = useState([START_POS])\n const [mode, setMode] = useState('idle')\n const [stepIndex, setStepIndex] = useState(-1)\n const [captures, setCaptures] = useState(0)\n const [lastRunSummary, setLastRunSummary] = useState('')\n const [gameOverChoice, setGameOverChoice] = useState('yes')\n const [successChoice, setSuccessChoice] = useState('continue')\n const [hasEverSucceeded, setHasEverSucceeded] = useState(false)\n\n const runIdRef = useRef(0)\n const completedRef = useRef(false)\n\n const running = mode === 'running'\n const lockedForPrompt = mode === 'gameOverPrompt' || mode === 'successPrompt' || mode === 'finished'\n const currentComplexityGoal = getComplexityForChallenge(challengeIndex)\n\n const themeStyle = useMemo(() => {\n if (!theme) return {}\n\n return {\n '--gc-primary': theme.primary,\n '--gc-accent': theme.accent,\n '--gc-bg': theme.bg,\n '--gc-bg-secondary': theme.bgSecondary,\n '--gc-text': theme.text,\n '--gc-text-muted': theme.textMuted,\n '--gc-border': theme.border\n } as CSSProperties\n }, [theme])\n\n useEffect(() => {\n const ratio = captures / goalCaptures\n onProgress?.(Math.round(clamp(ratio * 100, 0, 100)))\n }, [captures, goalCaptures, onProgress])\n\n const resetBoard = useCallback((nextChallengeIndex: number, nextCaptures: number, summary = '') => {\n runIdRef.current += 1\n setMode('idle')\n setChallengeIndex(getChallengeIndex(nextChallengeIndex))\n setPiece(START_POS)\n setTarget(getRandomTargetForChallenge(nextChallengeIndex))\n setTrailPoints([START_POS])\n setStepIndex(-1)\n setCaptures(nextCaptures)\n setGameOverChoice('yes')\n setSuccessChoice('continue')\n setLastRunSummary(summary)\n }, [])\n\n const retryChallenge = useCallback(() => {\n resetBoard(challengeIndex, 0, `Looking for a ${currentComplexityGoal}-step move set.`)\n }, [challengeIndex, currentComplexityGoal, resetBoard])\n\n const advanceChallenge = useCallback((nextCaptures = 0) => {\n const nextChallengeIndex = getChallengeIndex(challengeIndex + 1)\n const nextComplexityGoal = getComplexityForChallenge(nextChallengeIndex)\n\n resetBoard(nextChallengeIndex, nextCaptures, `Looking for a ${nextComplexityGoal}-step move set.`)\n }, [challengeIndex, resetBoard])\n\n const finishFailure = useCallback(() => {\n if (completedRef.current) return\n completedRef.current = true\n runIdRef.current += 1\n setMode('finished')\n onComplete({\n success: false,\n error: 'Player chose no after game over.',\n data: {\n captures,\n goalCaptures,\n configId: config.id,\n completedAt: new Date().toISOString(),\n hasEverSucceeded\n }\n })\n }, [captures, config.id, goalCaptures, hasEverSucceeded, onComplete])\n\n const finishSuccess = useCallback(() => {\n if (completedRef.current) return\n completedRef.current = true\n runIdRef.current += 1\n setMode('finished')\n onComplete({\n success: true,\n score: 100,\n data: {\n captures,\n goalCaptures,\n configId: config.id,\n completedAt: new Date().toISOString(),\n hasEverSucceeded\n }\n })\n }, [captures, config.id, goalCaptures, hasEverSucceeded, onComplete])\n\n const addInstruction = useCallback((direction: Direction) => {\n setProgram((previous) => {\n if (running || lockedForPrompt || previous.length >= MAX_PROGRAM_LENGTH) return previous\n return [...previous, direction]\n })\n }, [lockedForPrompt, running])\n\n const undoInstruction = useCallback(() => {\n if (running || lockedForPrompt) return\n setProgram((previous) => previous.slice(0, -1))\n }, [lockedForPrompt, running])\n\n const clearProgram = useCallback(() => {\n if (running || lockedForPrompt) return\n setProgram([])\n }, [lockedForPrompt, running])\n\n const stopProgram = useCallback(() => {\n runIdRef.current += 1\n setMode('idle')\n setStepIndex(-1)\n setLastRunSummary('Program stopped.')\n }, [])\n\n const runProgram = useCallback(async () => {\n if (running || lockedForPrompt || program.length === 0) return\n\n const runId = runIdRef.current + 1\n runIdRef.current = runId\n\n let currentPiece = piece\n let currentTarget = target\n let currentCaptures = captures\n let executedSteps = 0\n\n setMode('running')\n setStepIndex(-1)\n setTrailPoints([piece])\n setLastRunSummary('')\n\n while (runIdRef.current === runId) {\n for (let index = 0; index < program.length; index += 1) {\n await wait(MOVE_DELAY_MS)\n if (runIdRef.current !== runId) return\n\n const direction = program[index]\n const vector = VECTOR_BY_DIRECTION[direction]\n const candidate = {\n x: currentPiece.x + vector.dx,\n y: currentPiece.y + vector.dy\n }\n\n if (!isInsideBoard(candidate)) {\n setMode('gameOverPrompt')\n setGameOverChoice('yes')\n setStepIndex(-1)\n setLastRunSummary(`Game over after ${executedSteps} step(s). Try again?`)\n return\n }\n\n executedSteps += 1\n currentPiece = candidate\n setPiece(candidate)\n setTrailPoints((previous) => [...previous, candidate])\n setStepIndex(index)\n\n if (samePosition(candidate, currentTarget)) {\n currentCaptures += 1\n setCaptures(currentCaptures)\n setHasEverSucceeded(true)\n\n if (currentCaptures >= goalCaptures) {\n setMode('successPrompt')\n setSuccessChoice('continue')\n setStepIndex(-1)\n setLastRunSummary(`Success. ${currentCaptures} challenge(s) complete.`)\n return\n }\n\n const nextChallengeIndex = getChallengeIndex(challengeIndex + 1)\n const nextTarget = getRandomTargetForChallenge(nextChallengeIndex)\n const nextComplexityGoal = getComplexityForChallenge(nextChallengeIndex)\n\n currentPiece = START_POS\n currentTarget = nextTarget\n\n setMode('idle')\n setChallengeIndex(nextChallengeIndex)\n setPiece(START_POS)\n setTarget(nextTarget)\n setTrailPoints([START_POS])\n setStepIndex(-1)\n setLastRunSummary(\n `Challenge ${currentCaptures}/${goalCaptures} complete. 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'U' : 'D'} x ${absY}`\n : `${dx >= 0 ? 'R' : 'L'} x ${absX}`\n }\n }\n\n const divisor = gcd(absX, absY)\n const shortX = absX / divisor\n const shortY = absY / divisor\n const horizontal = `${dx >= 0 ? 'R' : 'L'} x ${shortX}`\n const vertical = `${dy >= 0 ? 'U' : 'D'} x ${shortY}`\n const angle = Math.atan2(absY, absX) * (180 / Math.PI)\n\n return {\n angle,\n motifLength,\n motif: `${horizontal}, ${vertical}`\n }\n }, [piece, target])\n\n const progressPercent = Math.round(clamp((captures / goalCaptures) * 100, 0, 100))\n const rootClassName = className ? `${styles.wrapper} ${className}` : styles.wrapper\n const boardView = BOARD_SIZE * SVG_CELL_SIZE\n const pathValue = trailPoints.map(toSvgPoint).join(' ')\n const trailHead = trailPoints[trailPoints.length - 1]\n\n return (\n
    \n \n
    \n

    The Chess Analogy

    \n

    \n Captures {captures}/{goalCaptures} • Progress {progressPercent}% • Program {program.length} • Target {currentComplexityGoal}\n

    \n
    \n\n
    \n
    \n
    \n )\n })}\n
    \n
    \n\n
    \n

    \n Angle: {aimMath.angle.toFixed(1)}°\n

    \n {false && (\n

    \n Primitive motif: {aimMath.motif} ({aimMath.motifLength})\n

    \n )}\n
    \n\n
    \n
    \n {program.length === 0 && Empty move set}\n {program.map((instruction, index) => (\n \n {ARROW_BY_DIRECTION[instruction]}\n \n ))}\n
    \n\n
    \n \n \n \n \n
    \n\n
    \n \n \n \n \n
    \n \n \n {lastRunSummary &&

    {lastRunSummary}

    }\n
    \n\n {mode === 'gameOverPrompt' && (\n
    \n

    Game over

    \n

    {hasEverSucceeded ? 'Try again or stop?' : 'Try again?'}

    \n
    \n \n {gameOverChoice === 'yes' ? '▶ ' : ''}Yes\n \n \n {gameOverChoice === 'no' ? '▶ ' : ''}{hasEverSucceeded ? \"I'm done\" : 'No'}\n \n
    \n

    Use arrows + Enter.

    \n
    \n )}\n\n {mode === 'successPrompt' && (\n
    \n

    Success

    \n

    Continue?

    \n
    \n advanceChallenge()}\n >\n {successChoice === 'continue' ? '▶ ' : ''}Yes\n \n \n {successChoice === 'done' ? '▶ ' : ''}I'm done\n \n
    \n

    Use arrows + Enter.

    \n
    \n )}\n \n
\n )\n}\n","import Component from './Component'\nimport type { GlitchComponentMetadata } from './types'\n\nexport default Component\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'chess_analogy',\n displayName: 'Chess Move Set Lab',\n version: '1.0.0',\n paramSchema: {\n goalCaptures: {\n type: 'range',\n label: 'Targets To Capture',\n description: 'How many red targets must be captured before completion.',\n default: 3,\n min: 1,\n max: 10,\n step: 1\n }\n },\n defaultParams: {\n goalCaptures: 3\n }\n}\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult,\n GlitchTheme,\n GlitchHostBridge,\n GlitchComponentMetadata\n} from 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n=e._x,s=e._y,u=e._z,f=e._w,h=this.dot(e);h<0&&(n=-n,s=-s,u=-u,f=-f,h=-h);let m=1-t;if(h<.9995){const g=Math.acos(h),_=Math.sin(g);m=Math.sin(m*g)/_,t=Math.sin(t*g)/_,this._x=this._x*m+n*t,this._y=this._y*m+s*t,this._z=this._z*m+u*t,this._w=this._w*m+f*t,this._onChangeCallback()}else this._x=this._x*m+n*t,this._y=this._y*m+s*t,this._z=this._z*m+u*t,this._w=this._w*m+f*t,this.normalize();return this}slerpQuaternions(e,t,n){return this.copy(e).slerp(t,n)}random(){const e=2*Math.PI*Math.random(),t=2*Math.PI*Math.random(),n=Math.random(),s=Math.sqrt(1-n),u=Math.sqrt(n);return this.set(s*Math.sin(e),s*Math.cos(e),u*Math.sin(t),u*Math.cos(t))}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._w===this._w}fromArray(e,t=0){return this._x=e[t],this._y=e[t+1],this._z=e[t+2],this._w=e[t+3],this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._w,e}fromBufferAttribute(e,t){return this._x=e.getX(t),this._y=e.getY(t),this._z=e.getZ(t),this._w=e.getW(t),this._onChangeCallback(),this}toJSON(){return this.toArray()}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._w}}class j{constructor(e=0,t=0,n=0){j.prototype.isVector3=!0,this.x=e,this.y=t,this.z=n}set(e,t,n){return n===void 0&&(n=this.z),this.x=e,this.y=t,this.z=n,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this}multiplyVectors(e,t){return this.x=e.x*t.x,this.y=e.y*t.y,this.z=e.z*t.z,this}applyEuler(e){return this.applyQuaternion(rM.setFromEuler(e))}applyAxisAngle(e,t){return this.applyQuaternion(rM.setFromAxisAngle(e,t))}applyMatrix3(e){const t=this.x,n=this.y,s=this.z,u=e.elements;return this.x=u[0]*t+u[3]*n+u[6]*s,this.y=u[1]*t+u[4]*n+u[7]*s,this.z=u[2]*t+u[5]*n+u[8]*s,this}applyNormalMatrix(e){return this.applyMatrix3(e).normalize()}applyMatrix4(e){const t=this.x,n=this.y,s=this.z,u=e.elements,f=1/(u[3]*t+u[7]*n+u[11]*s+u[15]);return this.x=(u[0]*t+u[4]*n+u[8]*s+u[12])*f,this.y=(u[1]*t+u[5]*n+u[9]*s+u[13])*f,this.z=(u[2]*t+u[6]*n+u[10]*s+u[14])*f,this}applyQuaternion(e){const t=this.x,n=this.y,s=this.z,u=e.x,f=e.y,h=e.z,m=e.w,g=2*(f*s-h*n),_=2*(h*t-u*s),x=2*(u*n-f*t);return this.x=t+m*g+f*x-h*_,this.y=n+m*_+h*g-u*x,this.z=s+m*x+u*_-f*g,this}project(e){return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix)}unproject(e){return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld)}transformDirection(e){const t=this.x,n=this.y,s=this.z,u=e.elements;return this.x=u[0]*t+u[4]*n+u[8]*s,this.y=u[1]*t+u[5]*n+u[9]*s,this.z=u[2]*t+u[6]*n+u[10]*s,this.normalize()}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this}divideScalar(e){return this.multiplyScalar(1/e)}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this}clamp(e,t){return this.x=Ht(this.x,e.x,t.x),this.y=Ht(this.y,e.y,t.y),this.z=Ht(this.z,e.z,t.z),this}clampScalar(e,t){return this.x=Ht(this.x,e,t),this.y=Ht(this.y,e,t),this.z=Ht(this.z,e,t),this}clampLength(e,t){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Ht(n,e,t))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this}cross(e){return this.crossVectors(this,e)}crossVectors(e,t){const n=e.x,s=e.y,u=e.z,f=t.x,h=t.y,m=t.z;return this.x=s*m-u*h,this.y=u*f-n*m,this.z=n*h-s*f,this}projectOnVector(e){const t=e.lengthSq();if(t===0)return this.set(0,0,0);const n=e.dot(this)/t;return this.copy(e).multiplyScalar(n)}projectOnPlane(e){return k_.copy(this).projectOnVector(e),this.sub(k_)}reflect(e){return this.sub(k_.copy(e).multiplyScalar(2*this.dot(e)))}angleTo(e){const t=Math.sqrt(this.lengthSq()*e.lengthSq());if(t===0)return Math.PI/2;const n=this.dot(e)/t;return Math.acos(Ht(n,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){const t=this.x-e.x,n=this.y-e.y,s=this.z-e.z;return t*t+n*n+s*s}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)+Math.abs(this.z-e.z)}setFromSpherical(e){return this.setFromSphericalCoords(e.radius,e.phi,e.theta)}setFromSphericalCoords(e,t,n){const s=Math.sin(t)*e;return this.x=s*Math.sin(n),this.y=Math.cos(t)*e,this.z=s*Math.cos(n),this}setFromCylindrical(e){return this.setFromCylindricalCoords(e.radius,e.theta,e.y)}setFromCylindricalCoords(e,t,n){return this.x=e*Math.sin(t),this.y=n,this.z=e*Math.cos(t),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this}setFromMatrixScale(e){const t=this.setFromMatrixColumn(e,0).length(),n=this.setFromMatrixColumn(e,1).length(),s=this.setFromMatrixColumn(e,2).length();return this.x=t,this.y=n,this.z=s,this}setFromMatrixColumn(e,t){return this.fromArray(e.elements,t*4)}setFromMatrix3Column(e,t){return this.fromArray(e.elements,t*3)}setFromEuler(e){return this.x=e._x,this.y=e._y,this.z=e._z,this}setFromColor(e){return this.x=e.r,this.y=e.g,this.z=e.b,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){const e=Math.random()*Math.PI*2,t=Math.random()*2-1,n=Math.sqrt(1-t*t);return this.x=n*Math.cos(e),this.y=t,this.z=n*Math.sin(e),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}}const k_=new j,rM=new Pa;class en{constructor(e,t,n,s,u,f,h,m,g){en.prototype.isMatrix3=!0,this.elements=[1,0,0,0,1,0,0,0,1],e!==void 0&&this.set(e,t,n,s,u,f,h,m,g)}set(e,t,n,s,u,f,h,m,g){const _=this.elements;return _[0]=e,_[1]=s,_[2]=h,_[3]=t,_[4]=u,_[5]=m,_[6]=n,_[7]=f,_[8]=g,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(e){const t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],this}extractBasis(e,t,n){return e.setFromMatrix3Column(this,0),t.setFromMatrix3Column(this,1),n.setFromMatrix3Column(this,2),this}setFromMatrix4(e){const t=e.elements;return this.set(t[0],t[4],t[8],t[1],t[5],t[9],t[2],t[6],t[10]),this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const n=e.elements,s=t.elements,u=this.elements,f=n[0],h=n[3],m=n[6],g=n[1],_=n[4],x=n[7],b=n[2],M=n[5],A=n[8],R=s[0],w=s[3],E=s[6],N=s[1],D=s[4],U=s[7],B=s[2],z=s[5],H=s[8];return u[0]=f*R+h*N+m*B,u[3]=f*w+h*D+m*z,u[6]=f*E+h*U+m*H,u[1]=g*R+_*N+x*B,u[4]=g*w+_*D+x*z,u[7]=g*E+_*U+x*H,u[2]=b*R+M*N+A*B,u[5]=b*w+M*D+A*z,u[8]=b*E+M*U+A*H,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[3]*=e,t[6]*=e,t[1]*=e,t[4]*=e,t[7]*=e,t[2]*=e,t[5]*=e,t[8]*=e,this}determinant(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8];return t*f*_-t*h*g-n*u*_+n*h*m+s*u*g-s*f*m}invert(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8],x=_*f-h*g,b=h*m-_*u,M=g*u-f*m,A=t*x+n*b+s*M;if(A===0)return this.set(0,0,0,0,0,0,0,0,0);const R=1/A;return e[0]=x*R,e[1]=(s*g-_*n)*R,e[2]=(h*n-s*f)*R,e[3]=b*R,e[4]=(_*t-s*m)*R,e[5]=(s*u-h*t)*R,e[6]=M*R,e[7]=(n*m-g*t)*R,e[8]=(f*t-n*u)*R,this}transpose(){let e;const t=this.elements;return e=t[1],t[1]=t[3],t[3]=e,e=t[2],t[2]=t[6],t[6]=e,e=t[5],t[5]=t[7],t[7]=e,this}getNormalMatrix(e){return this.setFromMatrix4(e).invert().transpose()}transposeIntoArray(e){const t=this.elements;return e[0]=t[0],e[1]=t[3],e[2]=t[6],e[3]=t[1],e[4]=t[4],e[5]=t[7],e[6]=t[2],e[7]=t[5],e[8]=t[8],this}setUvTransform(e,t,n,s,u,f,h){const m=Math.cos(u),g=Math.sin(u);return this.set(n*m,n*g,-n*(m*f+g*h)+f+e,-s*g,s*m,-s*(-g*f+m*h)+h+t,0,0,1),this}scale(e,t){return this.premultiply(V_.makeScale(e,t)),this}rotate(e){return this.premultiply(V_.makeRotation(-e)),this}translate(e,t){return this.premultiply(V_.makeTranslation(e,t)),this}makeTranslation(e,t){return e.isVector2?this.set(1,0,e.x,0,1,e.y,0,0,1):this.set(1,0,e,0,1,t,0,0,1),this}makeRotation(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,n,t,0,0,0,1),this}makeScale(e,t){return this.set(e,0,0,0,t,0,0,0,1),this}equals(e){const t=this.elements,n=e.elements;for(let s=0;s<9;s++)if(t[s]!==n[s])return!1;return!0}fromArray(e,t=0){for(let n=0;n<9;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){const n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e}clone(){return new this.constructor().fromArray(this.elements)}}const V_=new en,oM=new en().set(.4123908,.3575843,.1804808,.212639,.7151687,.0721923,.0193308,.1191948,.9505322),lM=new en().set(3.2409699,-1.5373832,-.4986108,-.9692436,1.8759675,.0415551,.0556301,-.203977,1.0569715);function cR(){const r={enabled:!0,workingColorSpace:zu,spaces:{},convert:function(s,u,f){return this.enabled===!1||u===f||!u||!f||(this.spaces[u].transfer===zn&&(s.r=Nl(s.r),s.g=Nl(s.g),s.b=Nl(s.b)),this.spaces[u].primaries!==this.spaces[f].primaries&&(s.applyMatrix3(this.spaces[u].toXYZ),s.applyMatrix3(this.spaces[f].fromXYZ)),this.spaces[f].transfer===zn&&(s.r=Wh(s.r),s.g=Wh(s.g),s.b=Wh(s.b))),s},workingToColorSpace:function(s,u){return this.convert(s,this.workingColorSpace,u)},colorSpaceToWorking:function(s,u){return this.convert(s,u,this.workingColorSpace)},getPrimaries:function(s){return this.spaces[s].primaries},getTransfer:function(s){return s===Cl?dm:this.spaces[s].transfer},getToneMappingMode:function(s){return this.spaces[s].outputColorSpaceConfig.toneMappingMode||"standard"},getLuminanceCoefficients:function(s,u=this.workingColorSpace){return s.fromArray(this.spaces[u].luminanceCoefficients)},define:function(s){Object.assign(this.spaces,s)},_getMatrix:function(s,u,f){return s.copy(this.spaces[u].toXYZ).multiply(this.spaces[f].fromXYZ)},_getDrawingBufferColorSpace:function(s){return this.spaces[s].outputColorSpaceConfig.drawingBufferColorSpace},_getUnpackColorSpace:function(s=this.workingColorSpace){return this.spaces[s].workingColorSpaceConfig.unpackColorSpace},fromWorkingColorSpace:function(s,u){return Zh("ColorManagement: .fromWorkingColorSpace() has been renamed to .workingToColorSpace()."),r.workingToColorSpace(s,u)},toWorkingColorSpace:function(s,u){return Zh("ColorManagement: .toWorkingColorSpace() has been renamed to .colorSpaceToWorking()."),r.colorSpaceToWorking(s,u)}},e=[.64,.33,.3,.6,.15,.06],t=[.2126,.7152,.0722],n=[.3127,.329];return r.define({[zu]:{primaries:e,whitePoint:n,transfer:dm,toXYZ:oM,fromXYZ:lM,luminanceCoefficients:t,workingColorSpaceConfig:{unpackColorSpace:Ia},outputColorSpaceConfig:{drawingBufferColorSpace:Ia}},[Ia]:{primaries:e,whitePoint:n,transfer:zn,toXYZ:oM,fromXYZ:lM,luminanceCoefficients:t,outputColorSpaceConfig:{drawingBufferColorSpace:Ia}}}),r}const Sn=cR();function Nl(r){return r<.04045?r*.0773993808:Math.pow(r*.9478672986+.0521327014,2.4)}function Wh(r){return r<.0031308?r*12.92:1.055*Math.pow(r,.41666)-.055}let vh;class VE{static getDataURL(e,t="image/png"){if(/^data:/i.test(e.src)||typeof HTMLCanvasElement>"u")return e.src;let n;if(e instanceof HTMLCanvasElement)n=e;else{vh===void 0&&(vh=mm("canvas")),vh.width=e.width,vh.height=e.height;const s=vh.getContext("2d");e instanceof ImageData?s.putImageData(e,0,0):s.drawImage(e,0,0,e.width,e.height),n=vh}return n.toDataURL(t)}static sRGBToLinear(e){if(typeof HTMLImageElement<"u"&&e instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&e instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&e instanceof ImageBitmap){const t=mm("canvas");t.width=e.width,t.height=e.height;const n=t.getContext("2d");n.drawImage(e,0,0,e.width,e.height);const s=n.getImageData(0,0,e.width,e.height),u=s.data;for(let f=0;f1),this.pmremVersion=0}get width(){return this.source.getSize(G_).x}get height(){return this.source.getSize(G_).y}get depth(){return this.source.getSize(G_).z}get image(){return this.source.data}set image(e=null){this.source.data=e}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}clone(){return new this.constructor().copy(this)}copy(e){return this.name=e.name,this.source=e.source,this.mipmaps=e.mipmaps.slice(0),this.mapping=e.mapping,this.channel=e.channel,this.wrapS=e.wrapS,this.wrapT=e.wrapT,this.magFilter=e.magFilter,this.minFilter=e.minFilter,this.anisotropy=e.anisotropy,this.format=e.format,this.internalFormat=e.internalFormat,this.type=e.type,this.offset.copy(e.offset),this.repeat.copy(e.repeat),this.center.copy(e.center),this.rotation=e.rotation,this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrix.copy(e.matrix),this.generateMipmaps=e.generateMipmaps,this.premultiplyAlpha=e.premultiplyAlpha,this.flipY=e.flipY,this.unpackAlignment=e.unpackAlignment,this.colorSpace=e.colorSpace,this.renderTarget=e.renderTarget,this.isRenderTargetTexture=e.isRenderTargetTexture,this.isArrayTexture=e.isArrayTexture,this.userData=JSON.parse(JSON.stringify(e.userData)),this.needsUpdate=!0,this}setValues(e){for(const t in e){const n=e[t];if(n===void 0){ft(`Texture.setValues(): parameter '${t}' has value of undefined.`);continue}const s=this[t];if(s===void 0){ft(`Texture.setValues(): property '${t}' does not exist.`);continue}s&&n&&s.isVector2&&n.isVector2||s&&n&&s.isVector3&&n.isVector3||s&&n&&s.isMatrix3&&n.isMatrix3?s.copy(n):this[t]=n}}toJSON(e){const t=e===void 0||typeof e=="string";if(!t&&e.textures[this.uuid]!==void 0)return e.textures[this.uuid];const n={metadata:{version:4.7,type:"Texture",generator:"Texture.toJSON"},uuid:this.uuid,name:this.name,image:this.source.toJSON(e).uuid,mapping:this.mapping,channel:this.channel,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,internalFormat:this.internalFormat,type:this.type,colorSpace:this.colorSpace,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,generateMipmaps:this.generateMipmaps,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};return Object.keys(this.userData).length>0&&(n.userData=this.userData),t||(e.textures[this.uuid]=n),n}dispose(){this.dispatchEvent({type:"dispose"})}transformUv(e){if(this.mapping!==vy)return e;if(e.applyMatrix3(this.matrix),e.x<0||e.x>1)switch(this.wrapS){case um:e.x=e.x-Math.floor(e.x);break;case Rs:e.x=e.x<0?0:1;break;case cm:Math.abs(Math.floor(e.x)%2)===1?e.x=Math.ceil(e.x)-e.x:e.x=e.x-Math.floor(e.x);break}if(e.y<0||e.y>1)switch(this.wrapT){case um:e.y=e.y-Math.floor(e.y);break;case Rs:e.y=e.y<0?0:1;break;case cm:Math.abs(Math.floor(e.y)%2)===1?e.y=Math.ceil(e.y)-e.y:e.y=e.y-Math.floor(e.y);break}return this.flipY&&(e.y=1-e.y),e}set needsUpdate(e){e===!0&&(this.version++,this.source.needsUpdate=!0)}set needsPMREMUpdate(e){e===!0&&this.pmremVersion++}}wi.DEFAULT_IMAGE=null;wi.DEFAULT_MAPPING=vy;wi.DEFAULT_ANISOTROPY=1;class jn{constructor(e=0,t=0,n=0,s=1){jn.prototype.isVector4=!0,this.x=e,this.y=t,this.z=n,this.w=s}get width(){return this.z}set width(e){this.z=e}get height(){return this.w}set height(e){this.w=e}set(e,t,n,s){return this.x=e,this.y=t,this.z=n,this.w=s,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this.w=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setW(e){return this.w=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;case 3:this.w=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this.w=e.w!==void 0?e.w:1,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this.w+=e.w,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this.w+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this.w=e.w+t.w,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this.w+=e.w*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this.w-=e.w,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this.w-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this.w=e.w-t.w,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this.w*=e.w,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this.w*=e,this}applyMatrix4(e){const t=this.x,n=this.y,s=this.z,u=this.w,f=e.elements;return this.x=f[0]*t+f[4]*n+f[8]*s+f[12]*u,this.y=f[1]*t+f[5]*n+f[9]*s+f[13]*u,this.z=f[2]*t+f[6]*n+f[10]*s+f[14]*u,this.w=f[3]*t+f[7]*n+f[11]*s+f[15]*u,this}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this.w/=e.w,this}divideScalar(e){return this.multiplyScalar(1/e)}setAxisAngleFromQuaternion(e){this.w=2*Math.acos(e.w);const t=Math.sqrt(1-e.w*e.w);return t<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=e.x/t,this.y=e.y/t,this.z=e.z/t),this}setAxisAngleFromRotationMatrix(e){let t,n,s,u;const m=e.elements,g=m[0],_=m[4],x=m[8],b=m[1],M=m[5],A=m[9],R=m[2],w=m[6],E=m[10];if(Math.abs(_-b)<.01&&Math.abs(x-R)<.01&&Math.abs(A-w)<.01){if(Math.abs(_+b)<.1&&Math.abs(x+R)<.1&&Math.abs(A+w)<.1&&Math.abs(g+M+E-3)<.1)return this.set(1,0,0,0),this;t=Math.PI;const D=(g+1)/2,U=(M+1)/2,B=(E+1)/2,z=(_+b)/4,H=(x+R)/4,W=(A+w)/4;return D>U&&D>B?D<.01?(n=0,s=.707106781,u=.707106781):(n=Math.sqrt(D),s=z/n,u=H/n):U>B?U<.01?(n=.707106781,s=0,u=.707106781):(s=Math.sqrt(U),n=z/s,u=W/s):B<.01?(n=.707106781,s=.707106781,u=0):(u=Math.sqrt(B),n=H/u,s=W/u),this.set(n,s,u,t),this}let N=Math.sqrt((w-A)*(w-A)+(x-R)*(x-R)+(b-_)*(b-_));return Math.abs(N)<.001&&(N=1),this.x=(w-A)/N,this.y=(x-R)/N,this.z=(b-_)/N,this.w=Math.acos((g+M+E-1)/2),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this.w=t[15],this}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this.w=Math.min(this.w,e.w),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this.w=Math.max(this.w,e.w),this}clamp(e,t){return this.x=Ht(this.x,e.x,t.x),this.y=Ht(this.y,e.y,t.y),this.z=Ht(this.z,e.z,t.z),this.w=Ht(this.w,e.w,t.w),this}clampScalar(e,t){return this.x=Ht(this.x,e,t),this.y=Ht(this.y,e,t),this.z=Ht(this.z,e,t),this.w=Ht(this.w,e,t),this}clampLength(e,t){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Ht(n,e,t))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this.w=Math.floor(this.w),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this.w=Math.ceil(this.w),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this.w=Math.round(this.w),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this.w=Math.trunc(this.w),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this.w=-this.w,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z+this.w*e.w}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this.w+=(e.w-this.w)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this.w=e.w+(t.w-e.w)*n,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z&&e.w===this.w}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this.w=e[t+3],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e[t+3]=this.w,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this.w=e.getW(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this.w=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z,yield this.w}}class Cb extends ko{constructor(e=1,t=1,n={}){super(),n=Object.assign({generateMipmaps:!1,internalFormat:null,minFilter:oi,depthBuffer:!0,stencilBuffer:!1,resolveDepthBuffer:!0,resolveStencilBuffer:!0,depthTexture:null,samples:0,count:1,depth:1,multiview:!1},n),this.isRenderTarget=!0,this.width=e,this.height=t,this.depth=n.depth,this.scissor=new jn(0,0,e,t),this.scissorTest=!1,this.viewport=new jn(0,0,e,t);const s={width:e,height:t,depth:n.depth},u=new wi(s);this.textures=[];const f=n.count;for(let h=0;h1);this.dispose()}this.viewport.set(0,0,e,t),this.scissor.set(0,0,e,t)}clone(){return new this.constructor().copy(this)}copy(e){this.width=e.width,this.height=e.height,this.depth=e.depth,this.scissor.copy(e.scissor),this.scissorTest=e.scissorTest,this.viewport.copy(e.viewport),this.textures.length=0;for(let t=0,n=e.textures.length;t=this.min.x&&e.x<=this.max.x&&e.y>=this.min.y&&e.y<=this.max.y&&e.z>=this.min.z&&e.z<=this.max.z}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y&&this.min.z<=e.min.z&&e.max.z<=this.max.z}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y),(e.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(e){return e.max.x>=this.min.x&&e.min.x<=this.max.x&&e.max.y>=this.min.y&&e.min.y<=this.max.y&&e.max.z>=this.min.z&&e.min.z<=this.max.z}intersectsSphere(e){return this.clampPoint(e.center,Gr),Gr.distanceToSquared(e.center)<=e.radius*e.radius}intersectsPlane(e){let t,n;return e.normal.x>0?(t=e.normal.x*this.min.x,n=e.normal.x*this.max.x):(t=e.normal.x*this.max.x,n=e.normal.x*this.min.x),e.normal.y>0?(t+=e.normal.y*this.min.y,n+=e.normal.y*this.max.y):(t+=e.normal.y*this.max.y,n+=e.normal.y*this.min.y),e.normal.z>0?(t+=e.normal.z*this.min.z,n+=e.normal.z*this.max.z):(t+=e.normal.z*this.max.z,n+=e.normal.z*this.min.z),t<=-e.constant&&n>=-e.constant}intersectsTriangle(e){if(this.isEmpty())return!1;this.getCenter(Ip),x0.subVectors(this.max,Ip),yh.subVectors(e.a,Ip),_h.subVectors(e.b,Ip),xh.subVectors(e.c,Ip),Mu.subVectors(_h,yh),Eu.subVectors(xh,_h),Rc.subVectors(yh,xh);let t=[0,-Mu.z,Mu.y,0,-Eu.z,Eu.y,0,-Rc.z,Rc.y,Mu.z,0,-Mu.x,Eu.z,0,-Eu.x,Rc.z,0,-Rc.x,-Mu.y,Mu.x,0,-Eu.y,Eu.x,0,-Rc.y,Rc.x,0];return!X_(t,yh,_h,xh,x0)||(t=[1,0,0,0,1,0,0,0,1],!X_(t,yh,_h,xh,x0))?!1:(b0.crossVectors(Mu,Eu),t=[b0.x,b0.y,b0.z],X_(t,yh,_h,xh,x0))}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,Gr).distanceTo(e)}getBoundingSphere(e){return this.isEmpty()?e.makeEmpty():(this.getCenter(e.center),e.radius=this.getSize(Gr).length()*.5),e}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}applyMatrix4(e){return this.isEmpty()?this:(bl[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(e),bl[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(e),bl[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(e),bl[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(e),bl[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(e),bl[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(e),bl[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(e),bl[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(e),this.setFromPoints(bl),this)}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}toJSON(){return{min:this.min.toArray(),max:this.max.toArray()}}fromJSON(e){return this.min.fromArray(e.min),this.max.fromArray(e.max),this}}const bl=[new j,new j,new j,new j,new j,new j,new j,new j],Gr=new j,_0=new za,yh=new j,_h=new j,xh=new j,Mu=new j,Eu=new j,Rc=new j,Ip=new j,x0=new j,b0=new j,Nc=new j;function X_(r,e,t,n,s){for(let u=0,f=r.length-3;u<=f;u+=3){Nc.fromArray(r,u);const h=s.x*Math.abs(Nc.x)+s.y*Math.abs(Nc.y)+s.z*Math.abs(Nc.z),m=e.dot(Nc),g=t.dot(Nc),_=n.dot(Nc);if(Math.max(-Math.max(m,g,_),Math.min(m,g,_))>h)return!1}return!0}const mR=new za,Op=new j,W_=new j;class _a{constructor(e=new j,t=-1){this.isSphere=!0,this.center=e,this.radius=t}set(e,t){return this.center.copy(e),this.radius=t,this}setFromPoints(e,t){const n=this.center;t!==void 0?n.copy(t):mR.setFromPoints(e).getCenter(n);let s=0;for(let u=0,f=e.length;uthis.radius*this.radius&&(t.sub(this.center).normalize(),t.multiplyScalar(this.radius).add(this.center)),t}getBoundingBox(e){return this.isEmpty()?(e.makeEmpty(),e):(e.set(this.center,this.center),e.expandByScalar(this.radius),e)}applyMatrix4(e){return this.center.applyMatrix4(e),this.radius=this.radius*e.getMaxScaleOnAxis(),this}translate(e){return this.center.add(e),this}expandByPoint(e){if(this.isEmpty())return this.center.copy(e),this.radius=0,this;Op.subVectors(e,this.center);const t=Op.lengthSq();if(t>this.radius*this.radius){const n=Math.sqrt(t),s=(n-this.radius)*.5;this.center.addScaledVector(Op,s/n),this.radius+=s}return this}union(e){return e.isEmpty()?this:this.isEmpty()?(this.copy(e),this):(this.center.equals(e.center)===!0?this.radius=Math.max(this.radius,e.radius):(W_.subVectors(e.center,this.center).setLength(e.radius),this.expandByPoint(Op.copy(e.center).add(W_)),this.expandByPoint(Op.copy(e.center).sub(W_))),this)}equals(e){return e.center.equals(this.center)&&e.radius===this.radius}clone(){return new this.constructor().copy(this)}toJSON(){return{radius:this.radius,center:this.center.toArray()}}fromJSON(e){return this.radius=e.radius,this.center.fromArray(e.center),this}}const Sl=new j,q_=new j,S0=new j,Tu=new j,j_=new j,M0=new j,Y_=new j;class of{constructor(e=new j,t=new j(0,0,-1)){this.origin=e,this.direction=t}set(e,t){return this.origin.copy(e),this.direction.copy(t),this}copy(e){return this.origin.copy(e.origin),this.direction.copy(e.direction),this}at(e,t){return t.copy(this.origin).addScaledVector(this.direction,e)}lookAt(e){return this.direction.copy(e).sub(this.origin).normalize(),this}recast(e){return this.origin.copy(this.at(e,Sl)),this}closestPointToPoint(e,t){t.subVectors(e,this.origin);const n=t.dot(this.direction);return n<0?t.copy(this.origin):t.copy(this.origin).addScaledVector(this.direction,n)}distanceToPoint(e){return Math.sqrt(this.distanceSqToPoint(e))}distanceSqToPoint(e){const t=Sl.subVectors(e,this.origin).dot(this.direction);return t<0?this.origin.distanceToSquared(e):(Sl.copy(this.origin).addScaledVector(this.direction,t),Sl.distanceToSquared(e))}distanceSqToSegment(e,t,n,s){q_.copy(e).add(t).multiplyScalar(.5),S0.copy(t).sub(e).normalize(),Tu.copy(this.origin).sub(q_);const u=e.distanceTo(t)*.5,f=-this.direction.dot(S0),h=Tu.dot(this.direction),m=-Tu.dot(S0),g=Tu.lengthSq(),_=Math.abs(1-f*f);let x,b,M,A;if(_>0)if(x=f*m-h,b=f*h-m,A=u*_,x>=0)if(b>=-A)if(b<=A){const R=1/_;x*=R,b*=R,M=x*(x+f*b+2*h)+b*(f*x+b+2*m)+g}else b=u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;else b=-u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;else b<=-A?(x=Math.max(0,-(-f*u+h)),b=x>0?-u:Math.min(Math.max(-u,-m),u),M=-x*x+b*(b+2*m)+g):b<=A?(x=0,b=Math.min(Math.max(-u,-m),u),M=b*(b+2*m)+g):(x=Math.max(0,-(f*u+h)),b=x>0?u:Math.min(Math.max(-u,-m),u),M=-x*x+b*(b+2*m)+g);else b=f>0?-u:u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;return n&&n.copy(this.origin).addScaledVector(this.direction,x),s&&s.copy(q_).addScaledVector(S0,b),M}intersectSphere(e,t){Sl.subVectors(e.center,this.origin);const n=Sl.dot(this.direction),s=Sl.dot(Sl)-n*n,u=e.radius*e.radius;if(s>u)return null;const f=Math.sqrt(u-s),h=n-f,m=n+f;return m<0?null:h<0?this.at(m,t):this.at(h,t)}intersectsSphere(e){return e.radius<0?!1:this.distanceSqToPoint(e.center)<=e.radius*e.radius}distanceToPlane(e){const t=e.normal.dot(this.direction);if(t===0)return e.distanceToPoint(this.origin)===0?0:null;const n=-(this.origin.dot(e.normal)+e.constant)/t;return n>=0?n:null}intersectPlane(e,t){const n=this.distanceToPlane(e);return n===null?null:this.at(n,t)}intersectsPlane(e){const t=e.distanceToPoint(this.origin);return t===0||e.normal.dot(this.direction)*t<0}intersectBox(e,t){let n,s,u,f,h,m;const g=1/this.direction.x,_=1/this.direction.y,x=1/this.direction.z,b=this.origin;return g>=0?(n=(e.min.x-b.x)*g,s=(e.max.x-b.x)*g):(n=(e.max.x-b.x)*g,s=(e.min.x-b.x)*g),_>=0?(u=(e.min.y-b.y)*_,f=(e.max.y-b.y)*_):(u=(e.max.y-b.y)*_,f=(e.min.y-b.y)*_),n>f||u>s||((u>n||isNaN(n))&&(n=u),(f=0?(h=(e.min.z-b.z)*x,m=(e.max.z-b.z)*x):(h=(e.max.z-b.z)*x,m=(e.min.z-b.z)*x),n>m||h>s)||((h>n||n!==n)&&(n=h),(m=0?n:s,t)}intersectsBox(e){return this.intersectBox(e,Sl)!==null}intersectTriangle(e,t,n,s,u){j_.subVectors(t,e),M0.subVectors(n,e),Y_.crossVectors(j_,M0);let f=this.direction.dot(Y_),h;if(f>0){if(s)return null;h=1}else if(f<0)h=-1,f=-f;else return null;Tu.subVectors(this.origin,e);const m=h*this.direction.dot(M0.crossVectors(Tu,M0));if(m<0)return null;const g=h*this.direction.dot(j_.cross(Tu));if(g<0||m+g>f)return null;const _=-h*Tu.dot(Y_);return _<0?null:this.at(_/f,u)}applyMatrix4(e){return this.origin.applyMatrix4(e),this.direction.transformDirection(e),this}equals(e){return e.origin.equals(this.origin)&&e.direction.equals(this.direction)}clone(){return new this.constructor().copy(this)}}class Xt{constructor(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w){Xt.prototype.isMatrix4=!0,this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],e!==void 0&&this.set(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w)}set(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w){const E=this.elements;return E[0]=e,E[4]=t,E[8]=n,E[12]=s,E[1]=u,E[5]=f,E[9]=h,E[13]=m,E[2]=g,E[6]=_,E[10]=x,E[14]=b,E[3]=M,E[7]=A,E[11]=R,E[15]=w,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return new Xt().fromArray(this.elements)}copy(e){const t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],t[9]=n[9],t[10]=n[10],t[11]=n[11],t[12]=n[12],t[13]=n[13],t[14]=n[14],t[15]=n[15],this}copyPosition(e){const t=this.elements,n=e.elements;return t[12]=n[12],t[13]=n[13],t[14]=n[14],this}setFromMatrix3(e){const t=e.elements;return this.set(t[0],t[3],t[6],0,t[1],t[4],t[7],0,t[2],t[5],t[8],0,0,0,0,1),this}extractBasis(e,t,n){return this.determinant()===0?(e.set(1,0,0),t.set(0,1,0),n.set(0,0,1),this):(e.setFromMatrixColumn(this,0),t.setFromMatrixColumn(this,1),n.setFromMatrixColumn(this,2),this)}makeBasis(e,t,n){return this.set(e.x,t.x,n.x,0,e.y,t.y,n.y,0,e.z,t.z,n.z,0,0,0,0,1),this}extractRotation(e){if(e.determinant()===0)return this.identity();const t=this.elements,n=e.elements,s=1/bh.setFromMatrixColumn(e,0).length(),u=1/bh.setFromMatrixColumn(e,1).length(),f=1/bh.setFromMatrixColumn(e,2).length();return t[0]=n[0]*s,t[1]=n[1]*s,t[2]=n[2]*s,t[3]=0,t[4]=n[4]*u,t[5]=n[5]*u,t[6]=n[6]*u,t[7]=0,t[8]=n[8]*f,t[9]=n[9]*f,t[10]=n[10]*f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromEuler(e){const t=this.elements,n=e.x,s=e.y,u=e.z,f=Math.cos(n),h=Math.sin(n),m=Math.cos(s),g=Math.sin(s),_=Math.cos(u),x=Math.sin(u);if(e.order==="XYZ"){const b=f*_,M=f*x,A=h*_,R=h*x;t[0]=m*_,t[4]=-m*x,t[8]=g,t[1]=M+A*g,t[5]=b-R*g,t[9]=-h*m,t[2]=R-b*g,t[6]=A+M*g,t[10]=f*m}else if(e.order==="YXZ"){const b=m*_,M=m*x,A=g*_,R=g*x;t[0]=b+R*h,t[4]=A*h-M,t[8]=f*g,t[1]=f*x,t[5]=f*_,t[9]=-h,t[2]=M*h-A,t[6]=R+b*h,t[10]=f*m}else if(e.order==="ZXY"){const b=m*_,M=m*x,A=g*_,R=g*x;t[0]=b-R*h,t[4]=-f*x,t[8]=A+M*h,t[1]=M+A*h,t[5]=f*_,t[9]=R-b*h,t[2]=-f*g,t[6]=h,t[10]=f*m}else if(e.order==="ZYX"){const b=f*_,M=f*x,A=h*_,R=h*x;t[0]=m*_,t[4]=A*g-M,t[8]=b*g+R,t[1]=m*x,t[5]=R*g+b,t[9]=M*g-A,t[2]=-g,t[6]=h*m,t[10]=f*m}else if(e.order==="YZX"){const b=f*m,M=f*g,A=h*m,R=h*g;t[0]=m*_,t[4]=R-b*x,t[8]=A*x+M,t[1]=x,t[5]=f*_,t[9]=-h*_,t[2]=-g*_,t[6]=M*x+A,t[10]=b-R*x}else if(e.order==="XZY"){const b=f*m,M=f*g,A=h*m,R=h*g;t[0]=m*_,t[4]=-x,t[8]=g*_,t[1]=b*x+R,t[5]=f*_,t[9]=M*x-A,t[2]=A*x-M,t[6]=h*_,t[10]=R*x+b}return t[3]=0,t[7]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromQuaternion(e){return this.compose(gR,e,vR)}lookAt(e,t,n){const s=this.elements;return Bs.subVectors(e,t),Bs.lengthSq()===0&&(Bs.z=1),Bs.normalize(),Au.crossVectors(n,Bs),Au.lengthSq()===0&&(Math.abs(n.z)===1?Bs.x+=1e-4:Bs.z+=1e-4,Bs.normalize(),Au.crossVectors(n,Bs)),Au.normalize(),E0.crossVectors(Bs,Au),s[0]=Au.x,s[4]=E0.x,s[8]=Bs.x,s[1]=Au.y,s[5]=E0.y,s[9]=Bs.y,s[2]=Au.z,s[6]=E0.z,s[10]=Bs.z,this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const n=e.elements,s=t.elements,u=this.elements,f=n[0],h=n[4],m=n[8],g=n[12],_=n[1],x=n[5],b=n[9],M=n[13],A=n[2],R=n[6],w=n[10],E=n[14],N=n[3],D=n[7],U=n[11],B=n[15],z=s[0],H=s[4],W=s[8],I=s[12],P=s[1],Z=s[5],se=s[9],te=s[13],fe=s[2],pe=s[6],Y=s[10],q=s[14],ne=s[3],be=s[7],Ne=s[11],X=s[15];return u[0]=f*z+h*P+m*fe+g*ne,u[4]=f*H+h*Z+m*pe+g*be,u[8]=f*W+h*se+m*Y+g*Ne,u[12]=f*I+h*te+m*q+g*X,u[1]=_*z+x*P+b*fe+M*ne,u[5]=_*H+x*Z+b*pe+M*be,u[9]=_*W+x*se+b*Y+M*Ne,u[13]=_*I+x*te+b*q+M*X,u[2]=A*z+R*P+w*fe+E*ne,u[6]=A*H+R*Z+w*pe+E*be,u[10]=A*W+R*se+w*Y+E*Ne,u[14]=A*I+R*te+w*q+E*X,u[3]=N*z+D*P+U*fe+B*ne,u[7]=N*H+D*Z+U*pe+B*be,u[11]=N*W+D*se+U*Y+B*Ne,u[15]=N*I+D*te+U*q+B*X,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[4]*=e,t[8]*=e,t[12]*=e,t[1]*=e,t[5]*=e,t[9]*=e,t[13]*=e,t[2]*=e,t[6]*=e,t[10]*=e,t[14]*=e,t[3]*=e,t[7]*=e,t[11]*=e,t[15]*=e,this}determinant(){const e=this.elements,t=e[0],n=e[4],s=e[8],u=e[12],f=e[1],h=e[5],m=e[9],g=e[13],_=e[2],x=e[6],b=e[10],M=e[14],A=e[3],R=e[7],w=e[11],E=e[15],N=m*M-g*b,D=h*M-g*x,U=h*b-m*x,B=f*M-g*_,z=f*b-m*_,H=f*x-h*_;return t*(R*N-w*D+E*U)-n*(A*N-w*B+E*z)+s*(A*D-R*B+E*H)-u*(A*U-R*z+w*H)}transpose(){const e=this.elements;let t;return t=e[1],e[1]=e[4],e[4]=t,t=e[2],e[2]=e[8],e[8]=t,t=e[6],e[6]=e[9],e[9]=t,t=e[3],e[3]=e[12],e[12]=t,t=e[7],e[7]=e[13],e[13]=t,t=e[11],e[11]=e[14],e[14]=t,this}setPosition(e,t,n){const s=this.elements;return e.isVector3?(s[12]=e.x,s[13]=e.y,s[14]=e.z):(s[12]=e,s[13]=t,s[14]=n),this}invert(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8],x=e[9],b=e[10],M=e[11],A=e[12],R=e[13],w=e[14],E=e[15],N=x*w*g-R*b*g+R*m*M-h*w*M-x*m*E+h*b*E,D=A*b*g-_*w*g-A*m*M+f*w*M+_*m*E-f*b*E,U=_*R*g-A*x*g+A*h*M-f*R*M-_*h*E+f*x*E,B=A*x*m-_*R*m-A*h*b+f*R*b+_*h*w-f*x*w,z=t*N+n*D+s*U+u*B;if(z===0)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const H=1/z;return e[0]=N*H,e[1]=(R*b*u-x*w*u-R*s*M+n*w*M+x*s*E-n*b*E)*H,e[2]=(h*w*u-R*m*u+R*s*g-n*w*g-h*s*E+n*m*E)*H,e[3]=(x*m*u-h*b*u-x*s*g+n*b*g+h*s*M-n*m*M)*H,e[4]=D*H,e[5]=(_*w*u-A*b*u+A*s*M-t*w*M-_*s*E+t*b*E)*H,e[6]=(A*m*u-f*w*u-A*s*g+t*w*g+f*s*E-t*m*E)*H,e[7]=(f*b*u-_*m*u+_*s*g-t*b*g-f*s*M+t*m*M)*H,e[8]=U*H,e[9]=(A*x*u-_*R*u-A*n*M+t*R*M+_*n*E-t*x*E)*H,e[10]=(f*R*u-A*h*u+A*n*g-t*R*g-f*n*E+t*h*E)*H,e[11]=(_*h*u-f*x*u-_*n*g+t*x*g+f*n*M-t*h*M)*H,e[12]=B*H,e[13]=(_*R*s-A*x*s+A*n*b-t*R*b-_*n*w+t*x*w)*H,e[14]=(A*h*s-f*R*s-A*n*m+t*R*m+f*n*w-t*h*w)*H,e[15]=(f*x*s-_*h*s+_*n*m-t*x*m-f*n*b+t*h*b)*H,this}scale(e){const t=this.elements,n=e.x,s=e.y,u=e.z;return t[0]*=n,t[4]*=s,t[8]*=u,t[1]*=n,t[5]*=s,t[9]*=u,t[2]*=n,t[6]*=s,t[10]*=u,t[3]*=n,t[7]*=s,t[11]*=u,this}getMaxScaleOnAxis(){const e=this.elements,t=e[0]*e[0]+e[1]*e[1]+e[2]*e[2],n=e[4]*e[4]+e[5]*e[5]+e[6]*e[6],s=e[8]*e[8]+e[9]*e[9]+e[10]*e[10];return Math.sqrt(Math.max(t,n,s))}makeTranslation(e,t,n){return e.isVector3?this.set(1,0,0,e.x,0,1,0,e.y,0,0,1,e.z,0,0,0,1):this.set(1,0,0,e,0,1,0,t,0,0,1,n,0,0,0,1),this}makeRotationX(e){const t=Math.cos(e),n=Math.sin(e);return this.set(1,0,0,0,0,t,-n,0,0,n,t,0,0,0,0,1),this}makeRotationY(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,0,n,0,0,1,0,0,-n,0,t,0,0,0,0,1),this}makeRotationZ(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,0,n,t,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(e,t){const n=Math.cos(t),s=Math.sin(t),u=1-n,f=e.x,h=e.y,m=e.z,g=u*f,_=u*h;return this.set(g*f+n,g*h-s*m,g*m+s*h,0,g*h+s*m,_*h+n,_*m-s*f,0,g*m-s*h,_*m+s*f,u*m*m+n,0,0,0,0,1),this}makeScale(e,t,n){return this.set(e,0,0,0,0,t,0,0,0,0,n,0,0,0,0,1),this}makeShear(e,t,n,s,u,f){return this.set(1,n,u,0,e,1,f,0,t,s,1,0,0,0,0,1),this}compose(e,t,n){const s=this.elements,u=t._x,f=t._y,h=t._z,m=t._w,g=u+u,_=f+f,x=h+h,b=u*g,M=u*_,A=u*x,R=f*_,w=f*x,E=h*x,N=m*g,D=m*_,U=m*x,B=n.x,z=n.y,H=n.z;return s[0]=(1-(R+E))*B,s[1]=(M+U)*B,s[2]=(A-D)*B,s[3]=0,s[4]=(M-U)*z,s[5]=(1-(b+E))*z,s[6]=(w+N)*z,s[7]=0,s[8]=(A+D)*H,s[9]=(w-N)*H,s[10]=(1-(b+R))*H,s[11]=0,s[12]=e.x,s[13]=e.y,s[14]=e.z,s[15]=1,this}decompose(e,t,n){const s=this.elements;if(e.x=s[12],e.y=s[13],e.z=s[14],this.determinant()===0)return n.set(1,1,1),t.identity(),this;let u=bh.set(s[0],s[1],s[2]).length();const f=bh.set(s[4],s[5],s[6]).length(),h=bh.set(s[8],s[9],s[10]).length();this.determinant()<0&&(u=-u),Xr.copy(this);const g=1/u,_=1/f,x=1/h;return Xr.elements[0]*=g,Xr.elements[1]*=g,Xr.elements[2]*=g,Xr.elements[4]*=_,Xr.elements[5]*=_,Xr.elements[6]*=_,Xr.elements[8]*=x,Xr.elements[9]*=x,Xr.elements[10]*=x,t.setFromRotationMatrix(Xr),n.x=u,n.y=f,n.z=h,this}makePerspective(e,t,n,s,u,f,h=ks,m=!1){const g=this.elements,_=2*u/(t-e),x=2*u/(n-s),b=(t+e)/(t-e),M=(n+s)/(n-s);let A,R;if(m)A=u/(f-u),R=f*u/(f-u);else if(h===ks)A=-(f+u)/(f-u),R=-2*f*u/(f-u);else if(h===Yh)A=-f/(f-u),R=-f*u/(f-u);else throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: "+h);return g[0]=_,g[4]=0,g[8]=b,g[12]=0,g[1]=0,g[5]=x,g[9]=M,g[13]=0,g[2]=0,g[6]=0,g[10]=A,g[14]=R,g[3]=0,g[7]=0,g[11]=-1,g[15]=0,this}makeOrthographic(e,t,n,s,u,f,h=ks,m=!1){const g=this.elements,_=2/(t-e),x=2/(n-s),b=-(t+e)/(t-e),M=-(n+s)/(n-s);let A,R;if(m)A=1/(f-u),R=f/(f-u);else if(h===ks)A=-2/(f-u),R=-(f+u)/(f-u);else if(h===Yh)A=-1/(f-u),R=-u/(f-u);else throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: "+h);return g[0]=_,g[4]=0,g[8]=0,g[12]=b,g[1]=0,g[5]=x,g[9]=0,g[13]=M,g[2]=0,g[6]=0,g[10]=A,g[14]=R,g[3]=0,g[7]=0,g[11]=0,g[15]=1,this}equals(e){const t=this.elements,n=e.elements;for(let s=0;s<16;s++)if(t[s]!==n[s])return!1;return!0}fromArray(e,t=0){for(let n=0;n<16;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){const n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e[t+9]=n[9],e[t+10]=n[10],e[t+11]=n[11],e[t+12]=n[12],e[t+13]=n[13],e[t+14]=n[14],e[t+15]=n[15],e}}const bh=new j,Xr=new Xt,gR=new j(0,0,0),vR=new j(1,1,1),Au=new j,E0=new j,Bs=new j,uM=new Xt,cM=new Pa;class Gs{constructor(e=0,t=0,n=0,s=Gs.DEFAULT_ORDER){this.isEuler=!0,this._x=e,this._y=t,this._z=n,this._order=s}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get order(){return this._order}set order(e){this._order=e,this._onChangeCallback()}set(e,t,n,s=this._order){return this._x=e,this._y=t,this._z=n,this._order=s,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(e){return this._x=e._x,this._y=e._y,this._z=e._z,this._order=e._order,this._onChangeCallback(),this}setFromRotationMatrix(e,t=this._order,n=!0){const s=e.elements,u=s[0],f=s[4],h=s[8],m=s[1],g=s[5],_=s[9],x=s[2],b=s[6],M=s[10];switch(t){case"XYZ":this._y=Math.asin(Ht(h,-1,1)),Math.abs(h)<.9999999?(this._x=Math.atan2(-_,M),this._z=Math.atan2(-f,u)):(this._x=Math.atan2(b,g),this._z=0);break;case"YXZ":this._x=Math.asin(-Ht(_,-1,1)),Math.abs(_)<.9999999?(this._y=Math.atan2(h,M),this._z=Math.atan2(m,g)):(this._y=Math.atan2(-x,u),this._z=0);break;case"ZXY":this._x=Math.asin(Ht(b,-1,1)),Math.abs(b)<.9999999?(this._y=Math.atan2(-x,M),this._z=Math.atan2(-f,g)):(this._y=0,this._z=Math.atan2(m,u));break;case"ZYX":this._y=Math.asin(-Ht(x,-1,1)),Math.abs(x)<.9999999?(this._x=Math.atan2(b,M),this._z=Math.atan2(m,u)):(this._x=0,this._z=Math.atan2(-f,g));break;case"YZX":this._z=Math.asin(Ht(m,-1,1)),Math.abs(m)<.9999999?(this._x=Math.atan2(-_,g),this._y=Math.atan2(-x,u)):(this._x=0,this._y=Math.atan2(h,M));break;case"XZY":this._z=Math.asin(-Ht(f,-1,1)),Math.abs(f)<.9999999?(this._x=Math.atan2(b,g),this._y=Math.atan2(h,u)):(this._x=Math.atan2(-_,M),this._y=0);break;default:ft("Euler: .setFromRotationMatrix() encountered an unknown order: "+t)}return this._order=t,n===!0&&this._onChangeCallback(),this}setFromQuaternion(e,t,n){return uM.makeRotationFromQuaternion(e),this.setFromRotationMatrix(uM,t,n)}setFromVector3(e,t=this._order){return this.set(e.x,e.y,e.z,t)}reorder(e){return cM.setFromEuler(this),this.setFromQuaternion(cM,e)}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._order===this._order}fromArray(e){return this._x=e[0],this._y=e[1],this._z=e[2],e[3]!==void 0&&(this._order=e[3]),this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._order,e}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._order}}Gs.DEFAULT_ORDER="XYZ";class Kh{constructor(){this.mask=1}set(e){this.mask=(1<>>0}enable(e){this.mask|=1<1){for(let t=0;t1){for(let n=0;n0&&(s.userData=this.userData),s.layers=this.layers.mask,s.matrix=this.matrix.toArray(),s.up=this.up.toArray(),this.matrixAutoUpdate===!1&&(s.matrixAutoUpdate=!1),this.isInstancedMesh&&(s.type="InstancedMesh",s.count=this.count,s.instanceMatrix=this.instanceMatrix.toJSON(),this.instanceColor!==null&&(s.instanceColor=this.instanceColor.toJSON())),this.isBatchedMesh&&(s.type="BatchedMesh",s.perObjectFrustumCulled=this.perObjectFrustumCulled,s.sortObjects=this.sortObjects,s.drawRanges=this._drawRanges,s.reservedRanges=this._reservedRanges,s.geometryInfo=this._geometryInfo.map(h=>({...h,boundingBox:h.boundingBox?h.boundingBox.toJSON():void 0,boundingSphere:h.boundingSphere?h.boundingSphere.toJSON():void 0})),s.instanceInfo=this._instanceInfo.map(h=>({...h})),s.availableInstanceIds=this._availableInstanceIds.slice(),s.availableGeometryIds=this._availableGeometryIds.slice(),s.nextIndexStart=this._nextIndexStart,s.nextVertexStart=this._nextVertexStart,s.geometryCount=this._geometryCount,s.maxInstanceCount=this._maxInstanceCount,s.maxVertexCount=this._maxVertexCount,s.maxIndexCount=this._maxIndexCount,s.geometryInitialized=this._geometryInitialized,s.matricesTexture=this._matricesTexture.toJSON(e),s.indirectTexture=this._indirectTexture.toJSON(e),this._colorsTexture!==null&&(s.colorsTexture=this._colorsTexture.toJSON(e)),this.boundingSphere!==null&&(s.boundingSphere=this.boundingSphere.toJSON()),this.boundingBox!==null&&(s.boundingBox=this.boundingBox.toJSON()));function u(h,m){return h[m.uuid]===void 0&&(h[m.uuid]=m.toJSON(e)),m.uuid}if(this.isScene)this.background&&(this.background.isColor?s.background=this.background.toJSON():this.background.isTexture&&(s.background=this.background.toJSON(e).uuid)),this.environment&&this.environment.isTexture&&this.environment.isRenderTargetTexture!==!0&&(s.environment=this.environment.toJSON(e).uuid);else if(this.isMesh||this.isLine||this.isPoints){s.geometry=u(e.geometries,this.geometry);const h=this.geometry.parameters;if(h!==void 0&&h.shapes!==void 0){const m=h.shapes;if(Array.isArray(m))for(let g=0,_=m.length;g<_;g++){const x=m[g];u(e.shapes,x)}else u(e.shapes,m)}}if(this.isSkinnedMesh&&(s.bindMode=this.bindMode,s.bindMatrix=this.bindMatrix.toArray(),this.skeleton!==void 0&&(u(e.skeletons,this.skeleton),s.skeleton=this.skeleton.uuid)),this.material!==void 0)if(Array.isArray(this.material)){const h=[];for(let m=0,g=this.material.length;m0){s.children=[];for(let h=0;h0){s.animations=[];for(let h=0;h0&&(n.geometries=h),m.length>0&&(n.materials=m),g.length>0&&(n.textures=g),_.length>0&&(n.images=_),x.length>0&&(n.shapes=x),b.length>0&&(n.skeletons=b),M.length>0&&(n.animations=M),A.length>0&&(n.nodes=A)}return n.object=s,n;function f(h){const m=[];for(const g in h){const _=h[g];delete _.metadata,m.push(_)}return m}}clone(e){return new this.constructor().copy(this,e)}copy(e,t=!0){if(this.name=e.name,this.up.copy(e.up),this.position.copy(e.position),this.rotation.order=e.rotation.order,this.quaternion.copy(e.quaternion),this.scale.copy(e.scale),this.matrix.copy(e.matrix),this.matrixWorld.copy(e.matrixWorld),this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrixWorldAutoUpdate=e.matrixWorldAutoUpdate,this.matrixWorldNeedsUpdate=e.matrixWorldNeedsUpdate,this.layers.mask=e.layers.mask,this.visible=e.visible,this.castShadow=e.castShadow,this.receiveShadow=e.receiveShadow,this.frustumCulled=e.frustumCulled,this.renderOrder=e.renderOrder,this.animations=e.animations.slice(),this.userData=JSON.parse(JSON.stringify(e.userData)),t===!0)for(let n=0;n0?s.multiplyScalar(1/Math.sqrt(u)):s.set(0,0,0)}static getBarycoord(e,t,n,s,u){Wr.subVectors(s,t),El.subVectors(n,t),Q_.subVectors(e,t);const f=Wr.dot(Wr),h=Wr.dot(El),m=Wr.dot(Q_),g=El.dot(El),_=El.dot(Q_),x=f*g-h*h;if(x===0)return u.set(0,0,0),null;const b=1/x,M=(g*m-h*_)*b,A=(f*_-h*m)*b;return u.set(1-M-A,A,M)}static containsPoint(e,t,n,s){return this.getBarycoord(e,t,n,s,Tl)===null?!1:Tl.x>=0&&Tl.y>=0&&Tl.x+Tl.y<=1}static getInterpolation(e,t,n,s,u,f,h,m){return this.getBarycoord(e,t,n,s,Tl)===null?(m.x=0,m.y=0,"z"in m&&(m.z=0),"w"in m&&(m.w=0),null):(m.setScalar(0),m.addScaledVector(u,Tl.x),m.addScaledVector(f,Tl.y),m.addScaledVector(h,Tl.z),m)}static getInterpolatedAttribute(e,t,n,s,u,f){return ex.setScalar(0),tx.setScalar(0),nx.setScalar(0),ex.fromBufferAttribute(e,t),tx.fromBufferAttribute(e,n),nx.fromBufferAttribute(e,s),f.setScalar(0),f.addScaledVector(ex,u.x),f.addScaledVector(tx,u.y),f.addScaledVector(nx,u.z),f}static isFrontFacing(e,t,n,s){return Wr.subVectors(n,t),El.subVectors(e,t),Wr.cross(El).dot(s)<0}set(e,t,n){return this.a.copy(e),this.b.copy(t),this.c.copy(n),this}setFromPointsAndIndices(e,t,n,s){return this.a.copy(e[t]),this.b.copy(e[n]),this.c.copy(e[s]),this}setFromAttributeAndIndices(e,t,n,s){return this.a.fromBufferAttribute(e,t),this.b.fromBufferAttribute(e,n),this.c.fromBufferAttribute(e,s),this}clone(){return new this.constructor().copy(this)}copy(e){return this.a.copy(e.a),this.b.copy(e.b),this.c.copy(e.c),this}getArea(){return Wr.subVectors(this.c,this.b),El.subVectors(this.a,this.b),Wr.cross(El).length()*.5}getMidpoint(e){return e.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(e){return Cs.getNormal(this.a,this.b,this.c,e)}getPlane(e){return e.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(e,t){return Cs.getBarycoord(e,this.a,this.b,this.c,t)}getInterpolation(e,t,n,s,u){return Cs.getInterpolation(e,this.a,this.b,this.c,t,n,s,u)}containsPoint(e){return Cs.containsPoint(e,this.a,this.b,this.c)}isFrontFacing(e){return Cs.isFrontFacing(this.a,this.b,this.c,e)}intersectsBox(e){return e.intersectsTriangle(this)}closestPointToPoint(e,t){const n=this.a,s=this.b,u=this.c;let f,h;Eh.subVectors(s,n),Th.subVectors(u,n),K_.subVectors(e,n);const m=Eh.dot(K_),g=Th.dot(K_);if(m<=0&&g<=0)return t.copy(n);J_.subVectors(e,s);const _=Eh.dot(J_),x=Th.dot(J_);if(_>=0&&x<=_)return t.copy(s);const b=m*x-_*g;if(b<=0&&m>=0&&_<=0)return f=m/(m-_),t.copy(n).addScaledVector(Eh,f);$_.subVectors(e,u);const M=Eh.dot($_),A=Th.dot($_);if(A>=0&&M<=A)return t.copy(u);const R=M*g-m*A;if(R<=0&&g>=0&&A<=0)return h=g/(g-A),t.copy(n).addScaledVector(Th,h);const w=_*A-M*x;if(w<=0&&x-_>=0&&M-A>=0)return gM.subVectors(u,s),h=(x-_)/(x-_+(M-A)),t.copy(s).addScaledVector(gM,h);const E=1/(w+R+b);return f=R*E,h=b*E,t.copy(n).addScaledVector(Eh,f).addScaledVector(Th,h)}equals(e){return e.a.equals(this.a)&&e.b.equals(this.b)&&e.c.equals(this.c)}}const HE={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},wu={h:0,s:0,l:0},A0={h:0,s:0,l:0};function ix(r,e,t){return t<0&&(t+=1),t>1&&(t-=1),t<1/6?r+(e-r)*6*t:t<1/2?e:t<2/3?r+(e-r)*6*(2/3-t):r}class yt{constructor(e,t,n){return this.isColor=!0,this.r=1,this.g=1,this.b=1,this.set(e,t,n)}set(e,t,n){if(t===void 0&&n===void 0){const s=e;s&&s.isColor?this.copy(s):typeof s=="number"?this.setHex(s):typeof s=="string"&&this.setStyle(s)}else this.setRGB(e,t,n);return this}setScalar(e){return this.r=e,this.g=e,this.b=e,this}setHex(e,t=Ia){return e=Math.floor(e),this.r=(e>>16&255)/255,this.g=(e>>8&255)/255,this.b=(e&255)/255,Sn.colorSpaceToWorking(this,t),this}setRGB(e,t,n,s=Sn.workingColorSpace){return this.r=e,this.g=t,this.b=n,Sn.colorSpaceToWorking(this,s),this}setHSL(e,t,n,s=Sn.workingColorSpace){if(e=wb(e,1),t=Ht(t,0,1),n=Ht(n,0,1),t===0)this.r=this.g=this.b=n;else{const u=n<=.5?n*(1+t):n+t-n*t,f=2*n-u;this.r=ix(f,u,e+1/3),this.g=ix(f,u,e),this.b=ix(f,u,e-1/3)}return Sn.colorSpaceToWorking(this,s),this}setStyle(e,t=Ia){function n(u){u!==void 0&&parseFloat(u)<1&&ft("Color: Alpha component of "+e+" will be ignored.")}let s;if(s=/^(\w+)\(([^\)]*)\)/.exec(e)){let u;const f=s[1],h=s[2];switch(f){case"rgb":case"rgba":if(u=/^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setRGB(Math.min(255,parseInt(u[1],10))/255,Math.min(255,parseInt(u[2],10))/255,Math.min(255,parseInt(u[3],10))/255,t);if(u=/^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setRGB(Math.min(100,parseInt(u[1],10))/100,Math.min(100,parseInt(u[2],10))/100,Math.min(100,parseInt(u[3],10))/100,t);break;case"hsl":case"hsla":if(u=/^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setHSL(parseFloat(u[1])/360,parseFloat(u[2])/100,parseFloat(u[3])/100,t);break;default:ft("Color: Unknown color model "+e)}}else if(s=/^\#([A-Fa-f\d]+)$/.exec(e)){const u=s[1],f=u.length;if(f===3)return this.setRGB(parseInt(u.charAt(0),16)/15,parseInt(u.charAt(1),16)/15,parseInt(u.charAt(2),16)/15,t);if(f===6)return this.setHex(parseInt(u,16),t);ft("Color: Invalid hex color "+e)}else if(e&&e.length>0)return this.setColorName(e,t);return this}setColorName(e,t=Ia){const n=HE[e.toLowerCase()];return n!==void 0?this.setHex(n,t):ft("Color: Unknown color "+e),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(e){return this.r=e.r,this.g=e.g,this.b=e.b,this}copySRGBToLinear(e){return this.r=Nl(e.r),this.g=Nl(e.g),this.b=Nl(e.b),this}copyLinearToSRGB(e){return this.r=Wh(e.r),this.g=Wh(e.g),this.b=Wh(e.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(e=Ia){return Sn.workingToColorSpace(La.copy(this),e),Math.round(Ht(La.r*255,0,255))*65536+Math.round(Ht(La.g*255,0,255))*256+Math.round(Ht(La.b*255,0,255))}getHexString(e=Ia){return("000000"+this.getHex(e).toString(16)).slice(-6)}getHSL(e,t=Sn.workingColorSpace){Sn.workingToColorSpace(La.copy(this),t);const n=La.r,s=La.g,u=La.b,f=Math.max(n,s,u),h=Math.min(n,s,u);let m,g;const _=(h+f)/2;if(h===f)m=0,g=0;else{const x=f-h;switch(g=_<=.5?x/(f+h):x/(2-f-h),f){case n:m=(s-u)/x+(s0!=e>0&&this.version++,this._alphaTest=e}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(e){if(e!==void 0)for(const t in e){const n=e[t];if(n===void 0){ft(`Material: parameter '${t}' has value of undefined.`);continue}const s=this[t];if(s===void 0){ft(`Material: '${t}' is not a property of THREE.${this.type}.`);continue}s&&s.isColor?s.set(n):s&&s.isVector3&&n&&n.isVector3?s.copy(n):this[t]=n}}toJSON(e){const t=e===void 0||typeof e=="string";t&&(e={textures:{},images:{}});const n={metadata:{version:4.7,type:"Material",generator:"Material.toJSON"}};n.uuid=this.uuid,n.type=this.type,this.name!==""&&(n.name=this.name),this.color&&this.color.isColor&&(n.color=this.color.getHex()),this.roughness!==void 0&&(n.roughness=this.roughness),this.metalness!==void 0&&(n.metalness=this.metalness),this.sheen!==void 0&&(n.sheen=this.sheen),this.sheenColor&&this.sheenColor.isColor&&(n.sheenColor=this.sheenColor.getHex()),this.sheenRoughness!==void 0&&(n.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(n.emissive=this.emissive.getHex()),this.emissiveIntensity!==void 0&&this.emissiveIntensity!==1&&(n.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(n.specular=this.specular.getHex()),this.specularIntensity!==void 0&&(n.specularIntensity=this.specularIntensity),this.specularColor&&this.specularColor.isColor&&(n.specularColor=this.specularColor.getHex()),this.shininess!==void 0&&(n.shininess=this.shininess),this.clearcoat!==void 0&&(n.clearcoat=this.clearcoat),this.clearcoatRoughness!==void 0&&(n.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(n.clearcoatMap=this.clearcoatMap.toJSON(e).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(n.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(e).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(n.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(e).uuid,n.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.sheenColorMap&&this.sheenColorMap.isTexture&&(n.sheenColorMap=this.sheenColorMap.toJSON(e).uuid),this.sheenRoughnessMap&&this.sheenRoughnessMap.isTexture&&(n.sheenRoughnessMap=this.sheenRoughnessMap.toJSON(e).uuid),this.dispersion!==void 0&&(n.dispersion=this.dispersion),this.iridescence!==void 0&&(n.iridescence=this.iridescence),this.iridescenceIOR!==void 0&&(n.iridescenceIOR=this.iridescenceIOR),this.iridescenceThicknessRange!==void 0&&(n.iridescenceThicknessRange=this.iridescenceThicknessRange),this.iridescenceMap&&this.iridescenceMap.isTexture&&(n.iridescenceMap=this.iridescenceMap.toJSON(e).uuid),this.iridescenceThicknessMap&&this.iridescenceThicknessMap.isTexture&&(n.iridescenceThicknessMap=this.iridescenceThicknessMap.toJSON(e).uuid),this.anisotropy!==void 0&&(n.anisotropy=this.anisotropy),this.anisotropyRotation!==void 0&&(n.anisotropyRotation=this.anisotropyRotation),this.anisotropyMap&&this.anisotropyMap.isTexture&&(n.anisotropyMap=this.anisotropyMap.toJSON(e).uuid),this.map&&this.map.isTexture&&(n.map=this.map.toJSON(e).uuid),this.matcap&&this.matcap.isTexture&&(n.matcap=this.matcap.toJSON(e).uuid),this.alphaMap&&this.alphaMap.isTexture&&(n.alphaMap=this.alphaMap.toJSON(e).uuid),this.lightMap&&this.lightMap.isTexture&&(n.lightMap=this.lightMap.toJSON(e).uuid,n.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(n.aoMap=this.aoMap.toJSON(e).uuid,n.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(n.bumpMap=this.bumpMap.toJSON(e).uuid,n.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(n.normalMap=this.normalMap.toJSON(e).uuid,n.normalMapType=this.normalMapType,n.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(n.displacementMap=this.displacementMap.toJSON(e).uuid,n.displacementScale=this.displacementScale,n.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(n.roughnessMap=this.roughnessMap.toJSON(e).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(n.metalnessMap=this.metalnessMap.toJSON(e).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(n.emissiveMap=this.emissiveMap.toJSON(e).uuid),this.specularMap&&this.specularMap.isTexture&&(n.specularMap=this.specularMap.toJSON(e).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(n.specularIntensityMap=this.specularIntensityMap.toJSON(e).uuid),this.specularColorMap&&this.specularColorMap.isTexture&&(n.specularColorMap=this.specularColorMap.toJSON(e).uuid),this.envMap&&this.envMap.isTexture&&(n.envMap=this.envMap.toJSON(e).uuid,this.combine!==void 0&&(n.combine=this.combine)),this.envMapRotation!==void 0&&(n.envMapRotation=this.envMapRotation.toArray()),this.envMapIntensity!==void 0&&(n.envMapIntensity=this.envMapIntensity),this.reflectivity!==void 0&&(n.reflectivity=this.reflectivity),this.refractionRatio!==void 0&&(n.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(n.gradientMap=this.gradientMap.toJSON(e).uuid),this.transmission!==void 0&&(n.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(n.transmissionMap=this.transmissionMap.toJSON(e).uuid),this.thickness!==void 0&&(n.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(n.thicknessMap=this.thicknessMap.toJSON(e).uuid),this.attenuationDistance!==void 0&&this.attenuationDistance!==1/0&&(n.attenuationDistance=this.attenuationDistance),this.attenuationColor!==void 0&&(n.attenuationColor=this.attenuationColor.getHex()),this.size!==void 0&&(n.size=this.size),this.shadowSide!==null&&(n.shadowSide=this.shadowSide),this.sizeAttenuation!==void 0&&(n.sizeAttenuation=this.sizeAttenuation),this.blending!==Kc&&(n.blending=this.blending),this.side!==Ll&&(n.side=this.side),this.vertexColors===!0&&(n.vertexColors=!0),this.opacity<1&&(n.opacity=this.opacity),this.transparent===!0&&(n.transparent=!0),this.blendSrc!==vv&&(n.blendSrc=this.blendSrc),this.blendDst!==yv&&(n.blendDst=this.blendDst),this.blendEquation!==Du&&(n.blendEquation=this.blendEquation),this.blendSrcAlpha!==null&&(n.blendSrcAlpha=this.blendSrcAlpha),this.blendDstAlpha!==null&&(n.blendDstAlpha=this.blendDstAlpha),this.blendEquationAlpha!==null&&(n.blendEquationAlpha=this.blendEquationAlpha),this.blendColor&&this.blendColor.isColor&&(n.blendColor=this.blendColor.getHex()),this.blendAlpha!==0&&(n.blendAlpha=this.blendAlpha),this.depthFunc!==ef&&(n.depthFunc=this.depthFunc),this.depthTest===!1&&(n.depthTest=this.depthTest),this.depthWrite===!1&&(n.depthWrite=this.depthWrite),this.colorWrite===!1&&(n.colorWrite=this.colorWrite),this.stencilWriteMask!==255&&(n.stencilWriteMask=this.stencilWriteMask),this.stencilFunc!==qx&&(n.stencilFunc=this.stencilFunc),this.stencilRef!==0&&(n.stencilRef=this.stencilRef),this.stencilFuncMask!==255&&(n.stencilFuncMask=this.stencilFuncMask),this.stencilFail!==Wc&&(n.stencilFail=this.stencilFail),this.stencilZFail!==Wc&&(n.stencilZFail=this.stencilZFail),this.stencilZPass!==Wc&&(n.stencilZPass=this.stencilZPass),this.stencilWrite===!0&&(n.stencilWrite=this.stencilWrite),this.rotation!==void 0&&this.rotation!==0&&(n.rotation=this.rotation),this.polygonOffset===!0&&(n.polygonOffset=!0),this.polygonOffsetFactor!==0&&(n.polygonOffsetFactor=this.polygonOffsetFactor),this.polygonOffsetUnits!==0&&(n.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth!==void 0&&this.linewidth!==1&&(n.linewidth=this.linewidth),this.dashSize!==void 0&&(n.dashSize=this.dashSize),this.gapSize!==void 0&&(n.gapSize=this.gapSize),this.scale!==void 0&&(n.scale=this.scale),this.dithering===!0&&(n.dithering=!0),this.alphaTest>0&&(n.alphaTest=this.alphaTest),this.alphaHash===!0&&(n.alphaHash=!0),this.alphaToCoverage===!0&&(n.alphaToCoverage=!0),this.premultipliedAlpha===!0&&(n.premultipliedAlpha=!0),this.forceSinglePass===!0&&(n.forceSinglePass=!0),this.allowOverride===!1&&(n.allowOverride=!1),this.wireframe===!0&&(n.wireframe=!0),this.wireframeLinewidth>1&&(n.wireframeLinewidth=this.wireframeLinewidth),this.wireframeLinecap!=="round"&&(n.wireframeLinecap=this.wireframeLinecap),this.wireframeLinejoin!=="round"&&(n.wireframeLinejoin=this.wireframeLinejoin),this.flatShading===!0&&(n.flatShading=!0),this.visible===!1&&(n.visible=!1),this.toneMapped===!1&&(n.toneMapped=!1),this.fog===!1&&(n.fog=!1),Object.keys(this.userData).length>0&&(n.userData=this.userData);function s(u){const f=[];for(const h in u){const m=u[h];delete m.metadata,f.push(m)}return f}if(t){const u=s(e.textures),f=s(e.images);u.length>0&&(n.textures=u),f.length>0&&(n.images=f)}return n}clone(){return new this.constructor().copy(this)}copy(e){this.name=e.name,this.blending=e.blending,this.side=e.side,this.vertexColors=e.vertexColors,this.opacity=e.opacity,this.transparent=e.transparent,this.blendSrc=e.blendSrc,this.blendDst=e.blendDst,this.blendEquation=e.blendEquation,this.blendSrcAlpha=e.blendSrcAlpha,this.blendDstAlpha=e.blendDstAlpha,this.blendEquationAlpha=e.blendEquationAlpha,this.blendColor.copy(e.blendColor),this.blendAlpha=e.blendAlpha,this.depthFunc=e.depthFunc,this.depthTest=e.depthTest,this.depthWrite=e.depthWrite,this.stencilWriteMask=e.stencilWriteMask,this.stencilFunc=e.stencilFunc,this.stencilRef=e.stencilRef,this.stencilFuncMask=e.stencilFuncMask,this.stencilFail=e.stencilFail,this.stencilZFail=e.stencilZFail,this.stencilZPass=e.stencilZPass,this.stencilWrite=e.stencilWrite;const t=e.clippingPlanes;let n=null;if(t!==null){const s=t.length;n=new Array(s);for(let u=0;u!==s;++u)n[u]=t[u].clone()}return this.clippingPlanes=n,this.clipIntersection=e.clipIntersection,this.clipShadows=e.clipShadows,this.shadowSide=e.shadowSide,this.colorWrite=e.colorWrite,this.precision=e.precision,this.polygonOffset=e.polygonOffset,this.polygonOffsetFactor=e.polygonOffsetFactor,this.polygonOffsetUnits=e.polygonOffsetUnits,this.dithering=e.dithering,this.alphaTest=e.alphaTest,this.alphaHash=e.alphaHash,this.alphaToCoverage=e.alphaToCoverage,this.premultipliedAlpha=e.premultipliedAlpha,this.forceSinglePass=e.forceSinglePass,this.allowOverride=e.allowOverride,this.visible=e.visible,this.toneMapped=e.toneMapped,this.userData=JSON.parse(JSON.stringify(e.userData)),this}dispose(){this.dispatchEvent({type:"dispose"})}set needsUpdate(e){e===!0&&this.version++}}class Vu extends Ba{constructor(e){super(),this.isMeshBasicMaterial=!0,this.type="MeshBasicMaterial",this.color=new yt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}const Rl=MR();function MR(){const r=new ArrayBuffer(4),e=new Float32Array(r),t=new Uint32Array(r),n=new Uint32Array(512),s=new Uint32Array(512);for(let m=0;m<256;++m){const g=m-127;g<-27?(n[m]=0,n[m|256]=32768,s[m]=24,s[m|256]=24):g<-14?(n[m]=1024>>-g-14,n[m|256]=1024>>-g-14|32768,s[m]=-g-1,s[m|256]=-g-1):g<=15?(n[m]=g+15<<10,n[m|256]=g+15<<10|32768,s[m]=13,s[m|256]=13):g<128?(n[m]=31744,n[m|256]=64512,s[m]=24,s[m|256]=24):(n[m]=31744,n[m|256]=64512,s[m]=13,s[m|256]=13)}const u=new Uint32Array(2048),f=new Uint32Array(64),h=new Uint32Array(64);for(let m=1;m<1024;++m){let g=m<<13,_=0;for(;(g&8388608)===0;)g<<=1,_-=8388608;g&=-8388609,_+=947912704,u[m]=g|_}for(let m=1024;m<2048;++m)u[m]=939524096+(m-1024<<13);for(let m=1;m<31;++m)f[m]=m<<23;f[31]=1199570944,f[32]=2147483648;for(let m=33;m<63;++m)f[m]=2147483648+(m-32<<23);f[63]=3347054592;for(let m=1;m<64;++m)m!==32&&(h[m]=1024);return{floatView:e,uint32View:t,baseTable:n,shiftTable:s,mantissaTable:u,exponentTable:f,offsetTable:h}}function As(r){Math.abs(r)>65504&&ft("DataUtils.toHalfFloat(): Value out of range."),r=Ht(r,-65504,65504),Rl.floatView[0]=r;const e=Rl.uint32View[0],t=e>>23&511;return Rl.baseTable[t]+((e&8388607)>>Rl.shiftTable[t])}function Yp(r){const e=r>>10;return Rl.uint32View[0]=Rl.mantissaTable[Rl.offsetTable[e]+(r&1023)]+Rl.exponentTable[e],Rl.floatView[0]}class ER{static toHalfFloat(e){return As(e)}static fromHalfFloat(e){return Yp(e)}}const ji=new j,w0=new ze;let TR=0;class Xn{constructor(e,t,n=!1){if(Array.isArray(e))throw new TypeError("THREE.BufferAttribute: array should be a Typed Array.");this.isBufferAttribute=!0,Object.defineProperty(this,"id",{value:TR++}),this.name="",this.array=e,this.itemSize=t,this.count=e!==void 0?e.length/t:0,this.normalized=n,this.usage=pm,this.updateRanges=[],this.gpuType=is,this.version=0}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.name=e.name,this.array=new e.array.constructor(e.array),this.itemSize=e.itemSize,this.count=e.count,this.normalized=e.normalized,this.usage=e.usage,this.gpuType=e.gpuType,this}copyAt(e,t,n){e*=this.itemSize,n*=t.itemSize;for(let s=0,u=this.itemSize;st.count&&ft("BufferGeometry: Buffer size too small for points data. Use .dispose() and create a new geometry."),t.needsUpdate=!0}return this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new za);const e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){Rt("BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box.",this),this.boundingBox.set(new j(-1/0,-1/0,-1/0),new j(1/0,1/0,1/0));return}if(e!==void 0){if(this.boundingBox.setFromBufferAttribute(e),t)for(let n=0,s=t.length;n0&&(e.userData=this.userData),this.parameters!==void 0){const m=this.parameters;for(const g in m)m[g]!==void 0&&(e[g]=m[g]);return e}e.data={attributes:{}};const t=this.index;t!==null&&(e.data.index={type:t.array.constructor.name,array:Array.prototype.slice.call(t.array)});const n=this.attributes;for(const m in n){const g=n[m];e.data.attributes[m]=g.toJSON(e.data)}const s={};let u=!1;for(const m in this.morphAttributes){const g=this.morphAttributes[m],_=[];for(let x=0,b=g.length;x0&&(s[m]=_,u=!0)}u&&(e.data.morphAttributes=s,e.data.morphTargetsRelative=this.morphTargetsRelative);const f=this.groups;f.length>0&&(e.data.groups=JSON.parse(JSON.stringify(f)));const h=this.boundingSphere;return h!==null&&(e.data.boundingSphere=h.toJSON()),e}clone(){return new this.constructor().copy(this)}copy(e){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const t={};this.name=e.name;const n=e.index;n!==null&&this.setIndex(n.clone());const s=e.attributes;for(const g in s){const _=s[g];this.setAttribute(g,_.clone(t))}const u=e.morphAttributes;for(const g in u){const _=[],x=u[g];for(let b=0,M=x.length;b0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;u(e.far-e.near)**2))&&(vM.copy(u).invert(),Dc.copy(e.ray).applyMatrix4(vM),!(n.boundingBox!==null&&Dc.intersectsBox(n.boundingBox)===!1)&&this._computeIntersections(e,t,Dc)))}_computeIntersections(e,t,n){let s;const u=this.geometry,f=this.material,h=u.index,m=u.attributes.position,g=u.attributes.uv,_=u.attributes.uv1,x=u.attributes.normal,b=u.groups,M=u.drawRange;if(h!==null)if(Array.isArray(f))for(let A=0,R=b.length;At.far?null:{distance:g,point:U0.clone(),object:r}}function I0(r,e,t,n,s,u,f,h,m,g){r.getVertexPosition(h,R0),r.getVertexPosition(m,N0),r.getVertexPosition(g,D0);const _=UR(r,e,t,n,R0,N0,D0,_M);if(_){const x=new j;Cs.getBarycoord(_M,R0,N0,D0,x),s&&(_.uv=Cs.getInterpolatedAttribute(s,h,m,g,x,new ze)),u&&(_.uv1=Cs.getInterpolatedAttribute(u,h,m,g,x,new ze)),f&&(_.normal=Cs.getInterpolatedAttribute(f,h,m,g,x,new j),_.normal.dot(n.direction)>0&&_.normal.multiplyScalar(-1));const b={a:h,b:m,c:g,normal:new j,materialIndex:0};Cs.getNormal(R0,N0,D0,b.normal),_.face=b,_.barycoord=x}return _}class lf extends Kt{constructor(e=1,t=1,n=1,s=1,u=1,f=1){super(),this.type="BoxGeometry",this.parameters={width:e,height:t,depth:n,widthSegments:s,heightSegments:u,depthSegments:f};const h=this;s=Math.floor(s),u=Math.floor(u),f=Math.floor(f);const m=[],g=[],_=[],x=[];let b=0,M=0;A("z","y","x",-1,-1,n,t,e,f,u,0),A("z","y","x",1,-1,n,t,-e,f,u,1),A("x","z","y",1,1,e,n,t,s,f,2),A("x","z","y",1,-1,e,n,-t,s,f,3),A("x","y","z",1,-1,e,t,n,s,u,4),A("x","y","z",-1,-1,e,t,-n,s,u,5),this.setIndex(m),this.setAttribute("position",new bt(g,3)),this.setAttribute("normal",new bt(_,3)),this.setAttribute("uv",new bt(x,2));function A(R,w,E,N,D,U,B,z,H,W,I){const P=U/H,Z=B/W,se=U/2,te=B/2,fe=z/2,pe=H+1,Y=W+1;let q=0,ne=0;const be=new j;for(let Ne=0;Ne0?1:-1,_.push(be.x,be.y,be.z),x.push(oe/H),x.push(1-Ne/W),q+=1}}for(let Ne=0;Ne0&&(t.defines=this.defines),t.vertexShader=this.vertexShader,t.fragmentShader=this.fragmentShader,t.lights=this.lights,t.clipping=this.clipping;const n={};for(const s in this.extensions)this.extensions[s]===!0&&(n[s]=!0);return Object.keys(n).length>0&&(t.extensions=n),t}}class Ry extends Cn{constructor(){super(),this.isCamera=!0,this.type="Camera",this.matrixWorldInverse=new Xt,this.projectionMatrix=new Xt,this.projectionMatrixInverse=new Xt,this.coordinateSystem=ks,this._reversedDepth=!1}get reversedDepth(){return this._reversedDepth}copy(e,t){return super.copy(e,t),this.matrixWorldInverse.copy(e.matrixWorldInverse),this.projectionMatrix.copy(e.projectionMatrix),this.projectionMatrixInverse.copy(e.projectionMatrixInverse),this.coordinateSystem=e.coordinateSystem,this}getWorldDirection(e){return super.getWorldDirection(e).negate()}updateMatrixWorld(e){super.updateMatrixWorld(e),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(e,t){super.updateWorldMatrix(e,t),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return new this.constructor().copy(this)}}const Cu=new j,xM=new ze,bM=new ze;class zi extends Ry{constructor(e=50,t=1,n=.1,s=2e3){super(),this.isPerspectiveCamera=!0,this.type="PerspectiveCamera",this.fov=e,this.zoom=1,this.near=n,this.far=s,this.focus=10,this.aspect=t,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.fov=e.fov,this.zoom=e.zoom,this.near=e.near,this.far=e.far,this.focus=e.focus,this.aspect=e.aspect,this.view=e.view===null?null:Object.assign({},e.view),this.filmGauge=e.filmGauge,this.filmOffset=e.filmOffset,this}setFocalLength(e){const t=.5*this.getFilmHeight()/e;this.fov=Qh*2*Math.atan(t),this.updateProjectionMatrix()}getFocalLength(){const e=Math.tan(Jc*.5*this.fov);return .5*this.getFilmHeight()/e}getEffectiveFOV(){return Qh*2*Math.atan(Math.tan(Jc*.5*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}getViewBounds(e,t,n){Cu.set(-1,-1,.5).applyMatrix4(this.projectionMatrixInverse),t.set(Cu.x,Cu.y).multiplyScalar(-e/Cu.z),Cu.set(1,1,.5).applyMatrix4(this.projectionMatrixInverse),n.set(Cu.x,Cu.y).multiplyScalar(-e/Cu.z)}getViewSize(e,t){return this.getViewBounds(e,xM,bM),t.subVectors(bM,xM)}setViewOffset(e,t,n,s,u,f){this.aspect=e/t,this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=n,this.view.offsetY=s,this.view.width=u,this.view.height=f,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const e=this.near;let t=e*Math.tan(Jc*.5*this.fov)/this.zoom,n=2*t,s=this.aspect*n,u=-.5*s;const f=this.view;if(this.view!==null&&this.view.enabled){const m=f.fullWidth,g=f.fullHeight;u+=f.offsetX*s/m,t-=f.offsetY*n/g,s*=f.width/m,n*=f.height/g}const h=this.filmOffset;h!==0&&(u+=e*h/this.getFilmWidth()),this.projectionMatrix.makePerspective(u,u+s,t,t-n,e,this.far,this.coordinateSystem,this.reversedDepth),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){const t=super.toJSON(e);return t.object.fov=this.fov,t.object.zoom=this.zoom,t.object.near=this.near,t.object.far=this.far,t.object.focus=this.focus,t.object.aspect=this.aspect,this.view!==null&&(t.object.view=Object.assign({},this.view)),t.object.filmGauge=this.filmGauge,t.object.filmOffset=this.filmOffset,t}}const wh=-90,Ch=1;class WE extends Cn{constructor(e,t,n){super(),this.type="CubeCamera",this.renderTarget=n,this.coordinateSystem=null,this.activeMipmapLevel=0;const s=new zi(wh,Ch,e,t);s.layers=this.layers,this.add(s);const u=new zi(wh,Ch,e,t);u.layers=this.layers,this.add(u);const f=new zi(wh,Ch,e,t);f.layers=this.layers,this.add(f);const h=new zi(wh,Ch,e,t);h.layers=this.layers,this.add(h);const m=new zi(wh,Ch,e,t);m.layers=this.layers,this.add(m);const g=new zi(wh,Ch,e,t);g.layers=this.layers,this.add(g)}updateCoordinateSystem(){const e=this.coordinateSystem,t=this.children.concat(),[n,s,u,f,h,m]=t;for(const g of t)this.remove(g);if(e===ks)n.up.set(0,1,0),n.lookAt(1,0,0),s.up.set(0,1,0),s.lookAt(-1,0,0),u.up.set(0,0,-1),u.lookAt(0,1,0),f.up.set(0,0,1),f.lookAt(0,-1,0),h.up.set(0,1,0),h.lookAt(0,0,1),m.up.set(0,1,0),m.lookAt(0,0,-1);else if(e===Yh)n.up.set(0,-1,0),n.lookAt(-1,0,0),s.up.set(0,-1,0),s.lookAt(1,0,0),u.up.set(0,0,1),u.lookAt(0,1,0),f.up.set(0,0,-1),f.lookAt(0,-1,0),h.up.set(0,-1,0),h.lookAt(0,0,1),m.up.set(0,-1,0),m.lookAt(0,0,-1);else throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: "+e);for(const g of t)this.add(g),g.updateMatrixWorld()}update(e,t){this.parent===null&&this.updateMatrixWorld();const{renderTarget:n,activeMipmapLevel:s}=this;this.coordinateSystem!==e.coordinateSystem&&(this.coordinateSystem=e.coordinateSystem,this.updateCoordinateSystem());const[u,f,h,m,g,_]=this.children,x=e.getRenderTarget(),b=e.getActiveCubeFace(),M=e.getActiveMipmapLevel(),A=e.xr.enabled;e.xr.enabled=!1;const R=n.texture.generateMipmaps;n.texture.generateMipmaps=!1,e.setRenderTarget(n,0,s),e.render(t,u),e.setRenderTarget(n,1,s),e.render(t,f),e.setRenderTarget(n,2,s),e.render(t,h),e.setRenderTarget(n,3,s),e.render(t,m),e.setRenderTarget(n,4,s),e.render(t,g),n.texture.generateMipmaps=R,e.setRenderTarget(n,5,s),e.render(t,_),e.setRenderTarget(x,b,M),e.xr.enabled=A,n.texture.needsPMREMUpdate=!0}}class Cm extends wi{constructor(e=[],t=zo,n,s,u,f,h,m,g,_){super(e,t,n,s,u,f,h,m,g,_),this.isCubeTexture=!0,this.flipY=!1}get images(){return this.image}set images(e){this.image=e}}class Db extends Hs{constructor(e=1,t={}){super(e,e,t),this.isWebGLCubeRenderTarget=!0;const n={width:e,height:e,depth:1},s=[n,n,n,n,n,n];this.texture=new Cm(s),this._setTextureOptions(t),this.texture.isRenderTargetTexture=!0}fromEquirectangularTexture(e,t){this.texture.type=t.type,this.texture.colorSpace=t.colorSpace,this.texture.generateMipmaps=t.generateMipmaps,this.texture.minFilter=t.minFilter,this.texture.magFilter=t.magFilter;const n={uniforms:{tEquirect:{value:null}},vertexShader:` + + varying vec3 vWorldDirection; + + vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); + + } + + void main() { + + vWorldDirection = transformDirection( position, modelMatrix ); + + #include + #include + + } + `,fragmentShader:` + + uniform sampler2D tEquirect; + + varying vec3 vWorldDirection; + + #include + + void main() { + + vec3 direction = normalize( vWorldDirection ); + + vec2 sampleUV = equirectUv( direction ); + + gl_FragColor = texture2D( tEquirect, sampleUV ); + + } + `},s=new lf(5,5,5),u=new yr({name:"CubemapFromEquirect",uniforms:Jh(n.uniforms),vertexShader:n.vertexShader,fragmentShader:n.fragmentShader,side:as,blending:Po});u.uniforms.tEquirect.value=t;const f=new Yi(s,u),h=t.minFilter;return t.minFilter===Io&&(t.minFilter=oi),new WE(1,10,this).update(e,f),t.minFilter=h,f.geometry.dispose(),f.material.dispose(),this}clear(e,t=!0,n=!0,s=!0){const u=e.getRenderTarget();for(let f=0;f<6;f++)e.setRenderTarget(this,f),e.clear(t,n,s);e.setRenderTarget(u)}}class Gh extends Cn{constructor(){super(),this.isGroup=!0,this.type="Group"}}const zR={type:"move"};class pv{constructor(){this._targetRay=null,this._grip=null,this._hand=null}getHandSpace(){return this._hand===null&&(this._hand=new Gh,this._hand.matrixAutoUpdate=!1,this._hand.visible=!1,this._hand.joints={},this._hand.inputState={pinching:!1}),this._hand}getTargetRaySpace(){return this._targetRay===null&&(this._targetRay=new Gh,this._targetRay.matrixAutoUpdate=!1,this._targetRay.visible=!1,this._targetRay.hasLinearVelocity=!1,this._targetRay.linearVelocity=new j,this._targetRay.hasAngularVelocity=!1,this._targetRay.angularVelocity=new j),this._targetRay}getGripSpace(){return this._grip===null&&(this._grip=new Gh,this._grip.matrixAutoUpdate=!1,this._grip.visible=!1,this._grip.hasLinearVelocity=!1,this._grip.linearVelocity=new j,this._grip.hasAngularVelocity=!1,this._grip.angularVelocity=new j),this._grip}dispatchEvent(e){return this._targetRay!==null&&this._targetRay.dispatchEvent(e),this._grip!==null&&this._grip.dispatchEvent(e),this._hand!==null&&this._hand.dispatchEvent(e),this}connect(e){if(e&&e.hand){const t=this._hand;if(t)for(const n of e.hand.values())this._getHandJoint(t,n)}return this.dispatchEvent({type:"connected",data:e}),this}disconnect(e){return this.dispatchEvent({type:"disconnected",data:e}),this._targetRay!==null&&(this._targetRay.visible=!1),this._grip!==null&&(this._grip.visible=!1),this._hand!==null&&(this._hand.visible=!1),this}update(e,t,n){let s=null,u=null,f=null;const h=this._targetRay,m=this._grip,g=this._hand;if(e&&t.session.visibilityState!=="visible-blurred"){if(g&&e.hand){f=!0;for(const R of e.hand.values()){const w=t.getJointPose(R,n),E=this._getHandJoint(g,R);w!==null&&(E.matrix.fromArray(w.transform.matrix),E.matrix.decompose(E.position,E.rotation,E.scale),E.matrixWorldNeedsUpdate=!0,E.jointRadius=w.radius),E.visible=w!==null}const _=g.joints["index-finger-tip"],x=g.joints["thumb-tip"],b=_.position.distanceTo(x.position),M=.02,A=.005;g.inputState.pinching&&b>M+A?(g.inputState.pinching=!1,this.dispatchEvent({type:"pinchend",handedness:e.handedness,target:this})):!g.inputState.pinching&&b<=M-A&&(g.inputState.pinching=!0,this.dispatchEvent({type:"pinchstart",handedness:e.handedness,target:this}))}else m!==null&&e.gripSpace&&(u=t.getPose(e.gripSpace,n),u!==null&&(m.matrix.fromArray(u.transform.matrix),m.matrix.decompose(m.position,m.rotation,m.scale),m.matrixWorldNeedsUpdate=!0,u.linearVelocity?(m.hasLinearVelocity=!0,m.linearVelocity.copy(u.linearVelocity)):m.hasLinearVelocity=!1,u.angularVelocity?(m.hasAngularVelocity=!0,m.angularVelocity.copy(u.angularVelocity)):m.hasAngularVelocity=!1));h!==null&&(s=t.getPose(e.targetRaySpace,n),s===null&&u!==null&&(s=u),s!==null&&(h.matrix.fromArray(s.transform.matrix),h.matrix.decompose(h.position,h.rotation,h.scale),h.matrixWorldNeedsUpdate=!0,s.linearVelocity?(h.hasLinearVelocity=!0,h.linearVelocity.copy(s.linearVelocity)):h.hasLinearVelocity=!1,s.angularVelocity?(h.hasAngularVelocity=!0,h.angularVelocity.copy(s.angularVelocity)):h.hasAngularVelocity=!1,this.dispatchEvent(zR)))}return h!==null&&(h.visible=s!==null),m!==null&&(m.visible=u!==null),g!==null&&(g.visible=f!==null),this}_getHandJoint(e,t){if(e.joints[t.jointName]===void 0){const n=new Gh;n.matrixAutoUpdate=!1,n.visible=!1,e.joints[t.jointName]=n,e.add(n)}return e.joints[t.jointName]}}class Ny{constructor(e,t=25e-5){this.isFogExp2=!0,this.name="",this.color=new yt(e),this.density=t}clone(){return new Ny(this.color,this.density)}toJSON(){return{type:"FogExp2",name:this.name,color:this.color.getHex(),density:this.density}}}class Dy{constructor(e,t=1,n=1e3){this.isFog=!0,this.name="",this.color=new yt(e),this.near=t,this.far=n}clone(){return new Dy(this.color,this.near,this.far)}toJSON(){return{type:"Fog",name:this.name,color:this.color.getHex(),near:this.near,far:this.far}}}class Lb extends Cn{constructor(){super(),this.isScene=!0,this.type="Scene",this.background=null,this.environment=null,this.fog=null,this.backgroundBlurriness=0,this.backgroundIntensity=1,this.backgroundRotation=new Gs,this.environmentIntensity=1,this.environmentRotation=new Gs,this.overrideMaterial=null,typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}copy(e,t){return super.copy(e,t),e.background!==null&&(this.background=e.background.clone()),e.environment!==null&&(this.environment=e.environment.clone()),e.fog!==null&&(this.fog=e.fog.clone()),this.backgroundBlurriness=e.backgroundBlurriness,this.backgroundIntensity=e.backgroundIntensity,this.backgroundRotation.copy(e.backgroundRotation),this.environmentIntensity=e.environmentIntensity,this.environmentRotation.copy(e.environmentRotation),e.overrideMaterial!==null&&(this.overrideMaterial=e.overrideMaterial.clone()),this.matrixAutoUpdate=e.matrixAutoUpdate,this}toJSON(e){const t=super.toJSON(e);return this.fog!==null&&(t.object.fog=this.fog.toJSON()),this.backgroundBlurriness>0&&(t.object.backgroundBlurriness=this.backgroundBlurriness),this.backgroundIntensity!==1&&(t.object.backgroundIntensity=this.backgroundIntensity),t.object.backgroundRotation=this.backgroundRotation.toArray(),this.environmentIntensity!==1&&(t.object.environmentIntensity=this.environmentIntensity),t.object.environmentRotation=this.environmentRotation.toArray(),t}}class Ly{constructor(e,t){this.isInterleavedBuffer=!0,this.array=e,this.stride=t,this.count=e!==void 0?e.length/t:0,this.usage=pm,this.updateRanges=[],this.version=0,this.uuid=Vs()}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.array=new e.array.constructor(e.array),this.count=e.count,this.stride=e.stride,this.usage=e.usage,this}copyAt(e,t,n){e*=this.stride,n*=t.stride;for(let s=0,u=this.stride;se.far||t.push({distance:m,point:Bp.clone(),uv:Cs.getInterpolation(Bp,O0,kp,P0,SM,rx,MM,new ze),face:null,object:this})}copy(e,t){return super.copy(e,t),e.center!==void 0&&this.center.copy(e.center),this.material=e.material,this}}function z0(r,e,t,n,s,u){Lh.subVectors(r,t).addScalar(.5).multiply(n),s!==void 0?(Fp.x=u*Lh.x-s*Lh.y,Fp.y=s*Lh.x+u*Lh.y):Fp.copy(Lh),r.copy(e),r.x+=Fp.x,r.y+=Fp.y,r.applyMatrix4(qE)}const B0=new j,EM=new j;class YE extends Cn{constructor(){super(),this.isLOD=!0,this._currentLevel=0,this.type="LOD",Object.defineProperties(this,{levels:{enumerable:!0,value:[]}}),this.autoUpdate=!0}copy(e){super.copy(e,!1);const t=e.levels;for(let n=0,s=t.length;n0){let n,s;for(n=1,s=t.length;n0){B0.setFromMatrixPosition(this.matrixWorld);const s=e.ray.origin.distanceTo(B0);this.getObjectForDistance(s).raycast(e,t)}}update(e){const t=this.levels;if(t.length>1){B0.setFromMatrixPosition(e.matrixWorld),EM.setFromMatrixPosition(this.matrixWorld);const n=B0.distanceTo(EM)/e.zoom;t[0].object.visible=!0;let s,u;for(s=1,u=t.length;s=f)t[s-1].object.visible=!1,t[s].object.visible=!0;else break}for(this._currentLevel=s-1;s1?null:t.copy(e.start).addScaledVector(n,u)}intersectsLine(e){const t=this.distanceToPoint(e.start),n=this.distanceToPoint(e.end);return t<0&&n>0||n<0&&t>0}intersectsBox(e){return e.intersectsPlane(this)}intersectsSphere(e){return e.intersectsPlane(this)}coplanarPoint(e){return e.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(e,t){const n=t||HR.getNormalMatrix(e),s=this.coplanarPoint(ux).applyMatrix4(e),u=this.normal.applyMatrix3(n).normalize();return this.constant=-s.dot(u),this}translate(e){return this.constant-=e.dot(this.normal),this}equals(e){return e.normal.equals(this.normal)&&e.constant===this.constant}clone(){return new this.constructor().copy(this)}}const Lc=new _a,GR=new ze(.5,.5),V0=new j;class ad{constructor(e=new wl,t=new wl,n=new wl,s=new wl,u=new wl,f=new wl){this.planes=[e,t,n,s,u,f]}set(e,t,n,s,u,f){const h=this.planes;return h[0].copy(e),h[1].copy(t),h[2].copy(n),h[3].copy(s),h[4].copy(u),h[5].copy(f),this}copy(e){const t=this.planes;for(let n=0;n<6;n++)t[n].copy(e.planes[n]);return this}setFromProjectionMatrix(e,t=ks,n=!1){const s=this.planes,u=e.elements,f=u[0],h=u[1],m=u[2],g=u[3],_=u[4],x=u[5],b=u[6],M=u[7],A=u[8],R=u[9],w=u[10],E=u[11],N=u[12],D=u[13],U=u[14],B=u[15];if(s[0].setComponents(g-f,M-_,E-A,B-N).normalize(),s[1].setComponents(g+f,M+_,E+A,B+N).normalize(),s[2].setComponents(g+h,M+x,E+R,B+D).normalize(),s[3].setComponents(g-h,M-x,E-R,B-D).normalize(),n)s[4].setComponents(m,b,w,U).normalize(),s[5].setComponents(g-m,M-b,E-w,B-U).normalize();else if(s[4].setComponents(g-m,M-b,E-w,B-U).normalize(),t===ks)s[5].setComponents(g+m,M+b,E+w,B+U).normalize();else if(t===Yh)s[5].setComponents(m,b,w,U).normalize();else throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: "+t);return this}intersectsObject(e){if(e.boundingSphere!==void 0)e.boundingSphere===null&&e.computeBoundingSphere(),Lc.copy(e.boundingSphere).applyMatrix4(e.matrixWorld);else{const t=e.geometry;t.boundingSphere===null&&t.computeBoundingSphere(),Lc.copy(t.boundingSphere).applyMatrix4(e.matrixWorld)}return this.intersectsSphere(Lc)}intersectsSprite(e){Lc.center.set(0,0,0);const t=GR.distanceTo(e.center);return Lc.radius=.7071067811865476+t,Lc.applyMatrix4(e.matrixWorld),this.intersectsSphere(Lc)}intersectsSphere(e){const t=this.planes,n=e.center,s=-e.radius;for(let u=0;u<6;u++)if(t[u].distanceToPoint(n)0?e.max.x:e.min.x,V0.y=s.normal.y>0?e.max.y:e.min.y,V0.z=s.normal.z>0?e.max.z:e.min.z,s.distanceToPoint(V0)<0)return!1}return!0}containsPoint(e){const t=this.planes;for(let n=0;n<6;n++)if(t[n].distanceToPoint(e)<0)return!1;return!0}clone(){return new this.constructor().copy(this)}}const No=new Xt,Do=new ad;class Iy{constructor(){this.coordinateSystem=ks}intersectsObject(e,t){if(!t.isArrayCamera||t.cameras.length===0)return!1;for(let n=0;n=u.length&&u.push({start:-1,count:-1,z:-1,index:-1});const h=u[this.index];f.push(h),this.index++,h.start=e,h.count=t,h.z=n,h.index=s}reset(){this.list.length=0,this.index=0}}const Ts=new Xt,jR=new yt(1,1,1),UM=new ad,YR=new Iy,H0=new za,Uc=new _a,Gp=new j,IM=new j,ZR=new j,fx=new qR,Ua=new Yi,G0=[];function QR(r,e,t=0){const n=e.itemSize;if(r.isInterleavedBufferAttribute||r.array.constructor!==e.array.constructor){const s=r.count;for(let u=0;u65535?new Uint32Array(s):new Uint16Array(s);t.setIndex(new Xn(u,1))}this._geometryInitialized=!0}}_validateGeometry(e){const t=this.geometry;if(!!e.getIndex()!=!!t.getIndex())throw new Error('THREE.BatchedMesh: All geometries must consistently have "index".');for(const n in t.attributes){if(!e.hasAttribute(n))throw new Error(`THREE.BatchedMesh: Added geometry missing "${n}". All geometries must have consistent attributes.`);const s=e.getAttribute(n),u=t.getAttribute(n);if(s.itemSize!==u.itemSize||s.normalized!==u.normalized)throw new Error("THREE.BatchedMesh: All attributes must have a consistent itemSize and normalized value.")}}validateInstanceId(e){const t=this._instanceInfo;if(e<0||e>=t.length||t[e].active===!1)throw new Error(`THREE.BatchedMesh: Invalid instanceId ${e}. Instance is either out of range or has been deleted.`)}validateGeometryId(e){const t=this._geometryInfo;if(e<0||e>=t.length||t[e].active===!1)throw new Error(`THREE.BatchedMesh: Invalid geometryId ${e}. Geometry is either out of range or has been deleted.`)}setCustomSort(e){return this.customSort=e,this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new za);const e=this.boundingBox,t=this._instanceInfo;e.makeEmpty();for(let n=0,s=t.length;n=this.maxInstanceCount&&this._availableInstanceIds.length===0)throw new Error("THREE.BatchedMesh: Maximum item count reached.");const n={visible:!0,active:!0,geometryIndex:e};let s=null;this._availableInstanceIds.length>0?(this._availableInstanceIds.sort(cx),s=this._availableInstanceIds.shift(),this._instanceInfo[s]=n):(s=this._instanceInfo.length,this._instanceInfo.push(n));const u=this._matricesTexture;Ts.identity().toArray(u.image.data,s*16),u.needsUpdate=!0;const f=this._colorsTexture;return f&&(jR.toArray(f.image.data,s*4),f.needsUpdate=!0),this._visibilityChanged=!0,s}addGeometry(e,t=-1,n=-1){this._initializeGeometry(e),this._validateGeometry(e);const s={vertexStart:-1,vertexCount:-1,reservedVertexCount:-1,indexStart:-1,indexCount:-1,reservedIndexCount:-1,start:-1,count:-1,boundingBox:null,boundingSphere:null,active:!0},u=this._geometryInfo;s.vertexStart=this._nextVertexStart,s.reservedVertexCount=t===-1?e.getAttribute("position").count:t;const f=e.getIndex();if(f!==null&&(s.indexStart=this._nextIndexStart,s.reservedIndexCount=n===-1?f.count:n),s.indexStart!==-1&&s.indexStart+s.reservedIndexCount>this._maxIndexCount||s.vertexStart+s.reservedVertexCount>this._maxVertexCount)throw new Error("THREE.BatchedMesh: Reserved space request exceeds the maximum buffer size.");let m;return this._availableGeometryIds.length>0?(this._availableGeometryIds.sort(cx),m=this._availableGeometryIds.shift(),u[m]=s):(m=this._geometryCount,this._geometryCount++,u.push(s)),this.setGeometryAt(m,e),this._nextIndexStart=s.indexStart+s.reservedIndexCount,this._nextVertexStart=s.vertexStart+s.reservedVertexCount,m}setGeometryAt(e,t){if(e>=this._geometryCount)throw new Error("THREE.BatchedMesh: Maximum geometry count reached.");this._validateGeometry(t);const n=this.geometry,s=n.getIndex()!==null,u=n.getIndex(),f=t.getIndex(),h=this._geometryInfo[e];if(s&&f.count>h.reservedIndexCount||t.attributes.position.count>h.reservedVertexCount)throw new Error("THREE.BatchedMesh: Reserved space not large enough for provided geometry.");const m=h.vertexStart,g=h.reservedVertexCount;h.vertexCount=t.getAttribute("position").count;for(const _ in n.attributes){const x=t.getAttribute(_),b=n.getAttribute(_);QR(x,b,m);const M=x.itemSize;for(let A=x.count,R=g;A=t.length||t[e].active===!1)return this;const n=this._instanceInfo;for(let s=0,u=n.length;sh).sort((f,h)=>n[f].vertexStart-n[h].vertexStart),u=this.geometry;for(let f=0,h=n.length;f=this._geometryCount)return null;const n=this.geometry,s=this._geometryInfo[e];if(s.boundingBox===null){const u=new za,f=n.index,h=n.attributes.position;for(let m=s.start,g=s.start+s.count;m=this._geometryCount)return null;const n=this.geometry,s=this._geometryInfo[e];if(s.boundingSphere===null){const u=new _a;this.getBoundingBoxAt(e,H0),H0.getCenter(u.center);const f=n.index,h=n.attributes.position;let m=0;for(let g=s.start,_=s.start+s.count;g<_;g++){let x=g;f&&(x=f.getX(x)),Gp.fromBufferAttribute(h,x),m=Math.max(m,u.center.distanceToSquared(Gp))}u.radius=Math.sqrt(m),s.boundingSphere=u}return t.copy(s.boundingSphere),t}setMatrixAt(e,t){this.validateInstanceId(e);const n=this._matricesTexture,s=this._matricesTexture.image.data;return t.toArray(s,e*16),n.needsUpdate=!0,this}getMatrixAt(e,t){return this.validateInstanceId(e),t.fromArray(this._matricesTexture.image.data,e*16)}setColorAt(e,t){return this.validateInstanceId(e),this._colorsTexture===null&&this._initColorsTexture(),t.toArray(this._colorsTexture.image.data,e*4),this._colorsTexture.needsUpdate=!0,this}getColorAt(e,t){return this.validateInstanceId(e),t.fromArray(this._colorsTexture.image.data,e*4)}setVisibleAt(e,t){return this.validateInstanceId(e),this._instanceInfo[e].visible===t?this:(this._instanceInfo[e].visible=t,this._visibilityChanged=!0,this)}getVisibleAt(e){return this.validateInstanceId(e),this._instanceInfo[e].visible}setGeometryIdAt(e,t){return this.validateInstanceId(e),this.validateGeometryId(t),this._instanceInfo[e].geometryIndex=t,this}getGeometryIdAt(e){return this.validateInstanceId(e),this._instanceInfo[e].geometryIndex}getGeometryRangeAt(e,t={}){this.validateGeometryId(e);const n=this._geometryInfo[e];return t.vertexStart=n.vertexStart,t.vertexCount=n.vertexCount,t.reservedVertexCount=n.reservedVertexCount,t.indexStart=n.indexStart,t.indexCount=n.indexCount,t.reservedIndexCount=n.reservedIndexCount,t.start=n.start,t.count=n.count,t}setInstanceCount(e){const t=this._availableInstanceIds,n=this._instanceInfo;for(t.sort(cx);t[t.length-1]===n.length-1;)n.pop(),t.pop();if(eh.active);if(Math.max(...n.map(h=>h.vertexStart+h.reservedVertexCount))>e)throw new Error(`BatchedMesh: Geometry vertex values are being used outside the range ${t}. Cannot shrink further.`);if(this.geometry.index&&Math.max(...n.map(m=>m.indexStart+m.reservedIndexCount))>t)throw new Error(`BatchedMesh: Geometry index values are being used outside the range ${t}. Cannot shrink further.`);const u=this.geometry;u.dispose(),this._maxVertexCount=e,this._maxIndexCount=t,this._geometryInitialized&&(this._geometryInitialized=!1,this.geometry=new Kt,this._initializeGeometry(u));const f=this.geometry;u.index&&Ic(u.index.array,f.index.array);for(const h in u.attributes)Ic(u.attributes[h].array,f.attributes[h].array)}raycast(e,t){const n=this._instanceInfo,s=this._geometryInfo,u=this.matrixWorld,f=this.geometry;Ua.material=this.material,Ua.geometry.index=f.index,Ua.geometry.attributes=f.attributes,Ua.geometry.boundingBox===null&&(Ua.geometry.boundingBox=new za),Ua.geometry.boundingSphere===null&&(Ua.geometry.boundingSphere=new _a);for(let h=0,m=n.length;h({...t,boundingBox:t.boundingBox!==null?t.boundingBox.clone():null,boundingSphere:t.boundingSphere!==null?t.boundingSphere.clone():null})),this._instanceInfo=e._instanceInfo.map(t=>({...t})),this._availableInstanceIds=e._availableInstanceIds.slice(),this._availableGeometryIds=e._availableGeometryIds.slice(),this._nextIndexStart=e._nextIndexStart,this._nextVertexStart=e._nextVertexStart,this._geometryCount=e._geometryCount,this._maxInstanceCount=e._maxInstanceCount,this._maxVertexCount=e._maxVertexCount,this._maxIndexCount=e._maxIndexCount,this._geometryInitialized=e._geometryInitialized,this._multiDrawCounts=e._multiDrawCounts.slice(),this._multiDrawStarts=e._multiDrawStarts.slice(),this._indirectTexture=e._indirectTexture.clone(),this._indirectTexture.image.data=this._indirectTexture.image.data.slice(),this._matricesTexture=e._matricesTexture.clone(),this._matricesTexture.image.data=this._matricesTexture.image.data.slice(),this._colorsTexture!==null&&(this._colorsTexture=e._colorsTexture.clone(),this._colorsTexture.image.data=this._colorsTexture.image.data.slice()),this}dispose(){this.geometry.dispose(),this._matricesTexture.dispose(),this._matricesTexture=null,this._indirectTexture.dispose(),this._indirectTexture=null,this._colorsTexture!==null&&(this._colorsTexture.dispose(),this._colorsTexture=null)}onBeforeRender(e,t,n,s,u){if(!this._visibilityChanged&&!this.perObjectFrustumCulled&&!this.sortObjects)return;const f=s.getIndex(),h=f===null?1:f.array.BYTES_PER_ELEMENT,m=this._instanceInfo,g=this._multiDrawStarts,_=this._multiDrawCounts,x=this._geometryInfo,b=this.perObjectFrustumCulled,M=this._indirectTexture,A=M.image.data,R=n.isArrayCamera?YR:UM;b&&!n.isArrayCamera&&(Ts.multiplyMatrices(n.projectionMatrix,n.matrixWorldInverse).multiply(this.matrixWorld),UM.setFromProjectionMatrix(Ts,n.coordinateSystem,n.reversedDepth));let w=0;if(this.sortObjects){Ts.copy(this.matrixWorld).invert(),Gp.setFromMatrixPosition(n.matrixWorld).applyMatrix4(Ts),IM.set(0,0,-1).transformDirection(n.matrixWorld).transformDirection(Ts);for(let D=0,U=m.length;D0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;un)return;hx.applyMatrix4(r.matrixWorld);const g=e.ray.origin.distanceTo(hx);if(!(ge.far))return{distance:g,point:PM.clone().applyMatrix4(r.matrixWorld),index:f,face:null,faceIndex:null,barycoord:null,object:r}}const zM=new j,BM=new j;class Vo extends Fu{constructor(e,t){super(e,t),this.isLineSegments=!0,this.type="LineSegments"}computeLineDistances(){const e=this.geometry;if(e.index===null){const t=e.attributes.position,n=[];for(let s=0,u=t.count;s0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;us.far)return;u.push({distance:g,distanceToRay:Math.sqrt(h),point:m,index:e,face:null,faceIndex:null,barycoord:null,object:f})}}class eT extends wi{constructor(e,t,n,s,u=oi,f=oi,h,m,g){super(e,t,n,s,u,f,h,m,g),this.isVideoTexture=!0,this.generateMipmaps=!1,this._requestVideoFrameCallbackId=0;const _=this;function x(){_.needsUpdate=!0,_._requestVideoFrameCallbackId=e.requestVideoFrameCallback(x)}"requestVideoFrameCallback"in e&&(this._requestVideoFrameCallbackId=e.requestVideoFrameCallback(x))}clone(){return new this.constructor(this.image).copy(this)}update(){const e=this.image;"requestVideoFrameCallback"in e===!1&&e.readyState>=e.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}dispose(){this._requestVideoFrameCallbackId!==0&&(this.source.data.cancelVideoFrameCallback(this._requestVideoFrameCallbackId),this._requestVideoFrameCallbackId=0),super.dispose()}}class KR extends eT{constructor(e,t,n,s,u,f,h,m){super({},e,t,n,s,u,f,h,m),this.isVideoFrameTexture=!0}update(){}clone(){return new this.constructor().copy(this)}setFrame(e){this.image=e,this.needsUpdate=!0}}class JR extends wi{constructor(e,t){super({width:e,height:t}),this.isFramebufferTexture=!0,this.magFilter=Bi,this.minFilter=Bi,this.generateMipmaps=!1,this.needsUpdate=!0}}class Oy extends wi{constructor(e,t,n,s,u,f,h,m,g,_,x,b){super(null,f,h,m,g,_,s,u,x,b),this.isCompressedTexture=!0,this.image={width:t,height:n},this.mipmaps=e,this.flipY=!1,this.generateMipmaps=!1}}class $R extends Oy{constructor(e,t,n,s,u,f){super(e,t,n,u,f),this.isCompressedArrayTexture=!0,this.image.depth=s,this.wrapR=Rs,this.layerUpdates=new Set}addLayerUpdate(e){this.layerUpdates.add(e)}clearLayerUpdates(){this.layerUpdates.clear()}}class eN extends Oy{constructor(e,t,n){super(void 0,e[0].width,e[0].height,t,n,zo),this.isCompressedCubeTexture=!0,this.isCubeTexture=!0,this.image=e}}class tN extends wi{constructor(e,t,n,s,u,f,h,m,g){super(e,t,n,s,u,f,h,m,g),this.isCanvasTexture=!0,this.needsUpdate=!0}}class ed extends wi{constructor(e,t,n=vr,s,u,f,h=Bi,m=Bi,g,_=Fo,x=1){if(_!==Fo&&_!==Uu)throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat");const b={width:e,height:t,depth:x};super(b,s,u,f,h,m,_,n,g),this.isDepthTexture=!0,this.flipY=!1,this.generateMipmaps=!1,this.compareFunction=null}copy(e){return super.copy(e),this.source=new Iu(Object.assign({},e.image)),this.compareFunction=e.compareFunction,this}toJSON(e){const t=super.toJSON(e);return this.compareFunction!==null&&(t.compareFunction=this.compareFunction),t}}class tT extends ed{constructor(e,t=vr,n=zo,s,u,f=Bi,h=Bi,m,g=Fo){const _={width:e,height:e,depth:1},x=[_,_,_,_,_,_];super(e,e,t,n,s,u,f,h,m,g),this.image=x,this.isCubeDepthTexture=!0,this.isCubeTexture=!0}get images(){return this.image}set images(e){this.image=e}}class Pb extends wi{constructor(e=null){super(),this.sourceTexture=e,this.isExternalTexture=!0}copy(e){return super.copy(e),this.sourceTexture=e.sourceTexture,this}}class Py extends Kt{constructor(e=1,t=1,n=4,s=8,u=1){super(),this.type="CapsuleGeometry",this.parameters={radius:e,height:t,capSegments:n,radialSegments:s,heightSegments:u},t=Math.max(0,t),n=Math.max(1,Math.floor(n)),s=Math.max(3,Math.floor(s)),u=Math.max(1,Math.floor(u));const f=[],h=[],m=[],g=[],_=t/2,x=Math.PI/2*e,b=t,M=2*x+b,A=n*2+u,R=s+1,w=new j,E=new j;for(let N=0;N<=A;N++){let D=0,U=0,B=0,z=0;if(N<=n){const I=N/n,P=I*Math.PI/2;U=-_-e*Math.cos(P),B=e*Math.sin(P),z=-e*Math.cos(P),D=I*x}else if(N<=n+u){const I=(N-n)/u;U=-_+I*t,B=e,z=0,D=x+I*b}else{const I=(N-n-u)/n,P=I*Math.PI/2;U=_+e*Math.sin(P),B=e*Math.cos(P),z=e*Math.sin(P),D=x+b+I*x}const H=Math.max(0,Math.min(1,D/M));let W=0;N===0?W=.5/s:N===A&&(W=-.5/s);for(let I=0;I<=s;I++){const P=I/s,Z=P*Math.PI*2,se=Math.sin(Z),te=Math.cos(Z);E.x=-B*te,E.y=U,E.z=B*se,h.push(E.x,E.y,E.z),w.set(-B*te,z,B*se),w.normalize(),m.push(w.x,w.y,w.z),g.push(P+W,H)}if(N>0){const I=(N-1)*R;for(let P=0;P0&&D(!0),t>0&&D(!1)),this.setIndex(_),this.setAttribute("position",new bt(x,3)),this.setAttribute("normal",new bt(b,3)),this.setAttribute("uv",new bt(M,2));function N(){const U=new j,B=new j;let z=0;const H=(t-e)/n;for(let W=0;W<=u;W++){const I=[],P=W/u,Z=P*(t-e)+e;for(let se=0;se<=s;se++){const te=se/s,fe=te*m+h,pe=Math.sin(fe),Y=Math.cos(fe);B.x=Z*pe,B.y=-P*n+w,B.z=Z*Y,x.push(B.x,B.y,B.z),U.set(pe,H,Y).normalize(),b.push(U.x,U.y,U.z),M.push(te,1-P),I.push(A++)}R.push(I)}for(let W=0;W0||I!==0)&&(_.push(P,Z,te),z+=3),(t>0||I!==u-1)&&(_.push(Z,se,te),z+=3)}g.addGroup(E,z,0),E+=z}function D(U){const B=A,z=new ze,H=new j;let W=0;const I=U===!0?e:t,P=U===!0?1:-1;for(let se=1;se<=s;se++)x.push(0,w*P,0),b.push(0,P,0),M.push(.5,.5),A++;const Z=A;for(let se=0;se<=s;se++){const fe=se/s*m+h,pe=Math.cos(fe),Y=Math.sin(fe);H.x=I*Y,H.y=w*P,H.z=I*pe,x.push(H.x,H.y,H.z),b.push(0,P,0),z.x=pe*.5+.5,z.y=Y*.5*P+.5,M.push(z.x,z.y),A++}for(let se=0;se.9&&H<.1&&(D<.2&&(f[N+0]+=1),U<.2&&(f[N+2]+=1),B<.2&&(f[N+4]+=1))}}function b(N){u.push(N.x,N.y,N.z)}function M(N,D){const U=N*3;D.x=e[U+0],D.y=e[U+1],D.z=e[U+2]}function A(){const N=new j,D=new j,U=new j,B=new j,z=new ze,H=new ze,W=new ze;for(let I=0,P=0;I0)m=s-1;else{m=s;break}if(s=m,n[s]===f)return s/(u-1);const _=n[s],b=n[s+1]-_,M=(f-_)/b;return(s+M)/(u-1)}getTangent(e,t){let s=e-1e-4,u=e+1e-4;s<0&&(s=0),u>1&&(u=1);const f=this.getPoint(s),h=this.getPoint(u),m=t||(f.isVector2?new ze:new j);return m.copy(h).sub(f).normalize(),m}getTangentAt(e,t){const n=this.getUtoTmapping(e);return this.getTangent(n,t)}computeFrenetFrames(e,t=!1){const n=new j,s=[],u=[],f=[],h=new j,m=new Xt;for(let M=0;M<=e;M++){const A=M/e;s[M]=this.getTangentAt(A,new j)}u[0]=new j,f[0]=new j;let g=Number.MAX_VALUE;const _=Math.abs(s[0].x),x=Math.abs(s[0].y),b=Math.abs(s[0].z);_<=g&&(g=_,n.set(1,0,0)),x<=g&&(g=x,n.set(0,1,0)),b<=g&&n.set(0,0,1),h.crossVectors(s[0],n).normalize(),u[0].crossVectors(s[0],h),f[0].crossVectors(s[0],u[0]);for(let M=1;M<=e;M++){if(u[M]=u[M-1].clone(),f[M]=f[M-1].clone(),h.crossVectors(s[M-1],s[M]),h.length()>Number.EPSILON){h.normalize();const A=Math.acos(Ht(s[M-1].dot(s[M]),-1,1));u[M].applyMatrix4(m.makeRotationAxis(h,A))}f[M].crossVectors(s[M],u[M])}if(t===!0){let M=Math.acos(Ht(u[0].dot(u[e]),-1,1));M/=e,s[0].dot(h.crossVectors(u[0],u[e]))>0&&(M=-M);for(let A=1;A<=e;A++)u[A].applyMatrix4(m.makeRotationAxis(s[A],M*A)),f[A].crossVectors(s[A],u[A])}return{tangents:s,normals:u,binormals:f}}clone(){return new this.constructor().copy(this)}copy(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}toJSON(){const e={metadata:{version:4.7,type:"Curve",generator:"Curve.toJSON"}};return e.arcLengthDivisions=this.arcLengthDivisions,e.type=this.type,e}fromJSON(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}}class Fy extends Zr{constructor(e=0,t=0,n=1,s=1,u=0,f=Math.PI*2,h=!1,m=0){super(),this.isEllipseCurve=!0,this.type="EllipseCurve",this.aX=e,this.aY=t,this.xRadius=n,this.yRadius=s,this.aStartAngle=u,this.aEndAngle=f,this.aClockwise=h,this.aRotation=m}getPoint(e,t=new ze){const n=t,s=Math.PI*2;let u=this.aEndAngle-this.aStartAngle;const f=Math.abs(u)s;)u-=s;u0?0:(Math.floor(Math.abs(h)/u)+1)*u:m===0&&h===u-1&&(h=u-2,m=1);let g,_;this.closed||h>0?g=s[(h-1)%u]:(K0.subVectors(s[0],s[1]).add(s[0]),g=K0);const x=s[h%u],b=s[(h+1)%u];if(this.closed||h+2s.length-2?s.length-1:f+1],x=s[f>s.length-3?s.length-1:f+2];return n.set(VM(h,m.x,g.x,_.x,x.x),VM(h,m.y,g.y,_.y,x.y)),n}copy(e){super.copy(e),this.points=[];for(let t=0,n=e.points.length;t=n){const f=s[u]-n,h=this.curves[u],m=h.getLength(),g=m===0?0:1-f/m;return h.getPointAt(g,t)}u++}return null}getLength(){const e=this.getCurveLengths();return e[e.length-1]}updateArcLengths(){this.needsUpdate=!0,this.cacheLengths=null,this.getCurveLengths()}getCurveLengths(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;const e=[];let t=0;for(let n=0,s=this.curves.length;n1&&!t[t.length-1].equals(t[0])&&t.push(t[0]),t}copy(e){super.copy(e),this.curves=[];for(let t=0,n=e.curves.length;t0){const x=g.getPoint(0);x.equals(this.currentPoint)||this.lineTo(x.x,x.y)}this.curves.push(g);const _=g.getPoint(1);return this.currentPoint.copy(_),this}copy(e){return super.copy(e),this.currentPoint.copy(e.currentPoint),this}toJSON(){const e=super.toJSON();return e.currentPoint=this.currentPoint.toArray(),e}fromJSON(e){return super.fromJSON(e),this.currentPoint.fromArray(e.currentPoint),this}}class $c extends ly{constructor(e){super(e),this.uuid=Vs(),this.type="Shape",this.holes=[]}getPointsHoles(e){const t=[];for(let n=0,s=this.holes.length;n80*t){h=r[0],m=r[1];let _=h,x=m;for(let b=t;b_&&(_=M),A>x&&(x=A)}g=Math.max(_-h,x-m),g=g!==0?32767/g:0}return vm(u,f,t,h,m,g,0),f}function lT(r,e,t,n,s){let u;if(s===TN(r,e,t,n)>0)for(let f=e;f=e;f-=n)u=HM(f/n|0,r[f],r[f+1],u);return u&&td(u,u.next)&&(_m(u),u=u.next),u}function af(r,e){if(!r)return r;e||(e=r);let t=r,n;do if(n=!1,!t.steiner&&(td(t,t.next)||_i(t.prev,t,t.next)===0)){if(_m(t),t=e=t.prev,t===t.next)break;n=!0}else t=t.next;while(n||t!==e);return e}function vm(r,e,t,n,s,u,f){if(!r)return;!f&&u&&_N(r,n,s,u);let h=r;for(;r.prev!==r.next;){const m=r.prev,g=r.next;if(u?fN(r,n,s,u):cN(r)){e.push(m.i,r.i,g.i),_m(r),r=g.next,h=g.next;continue}if(r=g,r===h){f?f===1?(r=hN(af(r),e),vm(r,e,t,n,s,u,2)):f===2&&dN(r,e,t,n,s,u):vm(af(r),e,t,n,s,u,1);break}}}function cN(r){const e=r.prev,t=r,n=r.next;if(_i(e,t,n)>=0)return!1;const s=e.x,u=t.x,f=n.x,h=e.y,m=t.y,g=n.y,_=Math.min(s,u,f),x=Math.min(h,m,g),b=Math.max(s,u,f),M=Math.max(h,m,g);let A=n.next;for(;A!==e;){if(A.x>=_&&A.x<=b&&A.y>=x&&A.y<=M&&Zp(s,h,u,m,f,g,A.x,A.y)&&_i(A.prev,A,A.next)>=0)return!1;A=A.next}return!0}function fN(r,e,t,n){const s=r.prev,u=r,f=r.next;if(_i(s,u,f)>=0)return!1;const h=s.x,m=u.x,g=f.x,_=s.y,x=u.y,b=f.y,M=Math.min(h,m,g),A=Math.min(_,x,b),R=Math.max(h,m,g),w=Math.max(_,x,b),E=Zx(M,A,e,t,n),N=Zx(R,w,e,t,n);let D=r.prevZ,U=r.nextZ;for(;D&&D.z>=E&&U&&U.z<=N;){if(D.x>=M&&D.x<=R&&D.y>=A&&D.y<=w&&D!==s&&D!==f&&Zp(h,_,m,x,g,b,D.x,D.y)&&_i(D.prev,D,D.next)>=0||(D=D.prevZ,U.x>=M&&U.x<=R&&U.y>=A&&U.y<=w&&U!==s&&U!==f&&Zp(h,_,m,x,g,b,U.x,U.y)&&_i(U.prev,U,U.next)>=0))return!1;U=U.nextZ}for(;D&&D.z>=E;){if(D.x>=M&&D.x<=R&&D.y>=A&&D.y<=w&&D!==s&&D!==f&&Zp(h,_,m,x,g,b,D.x,D.y)&&_i(D.prev,D,D.next)>=0)return!1;D=D.prevZ}for(;U&&U.z<=N;){if(U.x>=M&&U.x<=R&&U.y>=A&&U.y<=w&&U!==s&&U!==f&&Zp(h,_,m,x,g,b,U.x,U.y)&&_i(U.prev,U,U.next)>=0)return!1;U=U.nextZ}return!0}function hN(r,e){let t=r;do{const n=t.prev,s=t.next.next;!td(n,s)&&cT(n,t,t.next,s)&&ym(n,s)&&ym(s,n)&&(e.push(n.i,t.i,s.i),_m(t),_m(t.next),t=r=s),t=t.next}while(t!==r);return af(t)}function dN(r,e,t,n,s,u){let f=r;do{let h=f.next.next;for(;h!==f.prev;){if(f.i!==h.i&&SN(f,h)){let m=fT(f,h);f=af(f,f.next),m=af(m,m.next),vm(f,e,t,n,s,u,0),vm(m,e,t,n,s,u,0);return}h=h.next}f=f.next}while(f!==r)}function pN(r,e,t,n){const s=[];for(let u=0,f=e.length;u=t.next.y&&t.next.y!==t.y){const x=t.x+(s-t.y)*(t.next.x-t.x)/(t.next.y-t.y);if(x<=n&&x>u&&(u=x,f=t.x=t.x&&t.x>=m&&n!==t.x&&uT(sf.x||t.x===f.x&&yN(f,t)))&&(f=t,_=x)}t=t.next}while(t!==h);return f}function yN(r,e){return _i(r.prev,r,e.prev)<0&&_i(e.next,r,r.next)<0}function _N(r,e,t,n){let s=r;do s.z===0&&(s.z=Zx(s.x,s.y,e,t,n)),s.prevZ=s.prev,s.nextZ=s.next,s=s.next;while(s!==r);s.prevZ.nextZ=null,s.prevZ=null,xN(s)}function xN(r){let e,t=1;do{let n=r,s;r=null;let u=null;for(e=0;n;){e++;let f=n,h=0;for(let g=0;g0||m>0&&f;)h!==0&&(m===0||!f||n.z<=f.z)?(s=n,n=n.nextZ,h--):(s=f,f=f.nextZ,m--),u?u.nextZ=s:r=s,s.prevZ=u,u=s;n=f}u.nextZ=null,t*=2}while(e>1);return r}function Zx(r,e,t,n,s){return r=(r-t)*s|0,e=(e-n)*s|0,r=(r|r<<8)&16711935,r=(r|r<<4)&252645135,r=(r|r<<2)&858993459,r=(r|r<<1)&1431655765,e=(e|e<<8)&16711935,e=(e|e<<4)&252645135,e=(e|e<<2)&858993459,e=(e|e<<1)&1431655765,r|e<<1}function bN(r){let e=r,t=r;do(e.x=(r-f)*(u-h)&&(r-f)*(n-h)>=(t-f)*(e-h)&&(t-f)*(u-h)>=(s-f)*(n-h)}function Zp(r,e,t,n,s,u,f,h){return!(r===f&&e===h)&&uT(r,e,t,n,s,u,f,h)}function SN(r,e){return r.next.i!==e.i&&r.prev.i!==e.i&&!MN(r,e)&&(ym(r,e)&&ym(e,r)&&EN(r,e)&&(_i(r.prev,r,e.prev)||_i(r,e.prev,e))||td(r,e)&&_i(r.prev,r,r.next)>0&&_i(e.prev,e,e.next)>0)}function _i(r,e,t){return(e.y-r.y)*(t.x-e.x)-(e.x-r.x)*(t.y-e.y)}function td(r,e){return r.x===e.x&&r.y===e.y}function cT(r,e,t,n){const s=$0(_i(r,e,t)),u=$0(_i(r,e,n)),f=$0(_i(t,n,r)),h=$0(_i(t,n,e));return!!(s!==u&&f!==h||s===0&&J0(r,t,e)||u===0&&J0(r,n,e)||f===0&&J0(t,r,n)||h===0&&J0(t,e,n))}function J0(r,e,t){return e.x<=Math.max(r.x,t.x)&&e.x>=Math.min(r.x,t.x)&&e.y<=Math.max(r.y,t.y)&&e.y>=Math.min(r.y,t.y)}function $0(r){return r>0?1:r<0?-1:0}function MN(r,e){let t=r;do{if(t.i!==r.i&&t.next.i!==r.i&&t.i!==e.i&&t.next.i!==e.i&&cT(t,t.next,r,e))return!0;t=t.next}while(t!==r);return!1}function ym(r,e){return _i(r.prev,r,r.next)<0?_i(r,e,r.next)>=0&&_i(r,r.prev,e)>=0:_i(r,e,r.prev)<0||_i(r,r.next,e)<0}function EN(r,e){let t=r,n=!1;const s=(r.x+e.x)/2,u=(r.y+e.y)/2;do t.y>u!=t.next.y>u&&t.next.y!==t.y&&s<(t.next.x-t.x)*(u-t.y)/(t.next.y-t.y)+t.x&&(n=!n),t=t.next;while(t!==r);return n}function fT(r,e){const t=Qx(r.i,r.x,r.y),n=Qx(e.i,e.x,e.y),s=r.next,u=e.prev;return r.next=e,e.prev=r,t.next=s,s.prev=t,n.next=t,t.prev=n,u.next=n,n.prev=u,n}function HM(r,e,t,n){const s=Qx(r,e,t);return n?(s.next=n.next,s.prev=n,n.next.prev=s,n.next=s):(s.prev=s,s.next=s),s}function _m(r){r.next.prev=r.prev,r.prev.next=r.next,r.prevZ&&(r.prevZ.nextZ=r.nextZ),r.nextZ&&(r.nextZ.prevZ=r.prevZ)}function Qx(r,e,t){return{i:r,x:e,y:t,prev:null,next:null,z:0,prevZ:null,nextZ:null,steiner:!1}}function TN(r,e,t,n){let s=0;for(let u=e,f=t-n;u2&&r[e-1].equals(r[0])&&r.pop()}function XM(r,e){for(let t=0;tNumber.EPSILON){const Te=Math.sqrt(O),Ie=Math.sqrt(Qe*Qe+G*G),Ee=He.x-Tt/Te,dt=He.y+ot/Te,Ke=Oe.x-G/Ie,vt=Oe.y+Qe/Ie,Dt=((Ke-Ee)*G-(vt-dt)*Qe)/(ot*G-Tt*Qe);nt=Ee+ot*Dt-Le.x,Q=dt+Tt*Dt-Le.y;const Ve=nt*nt+Q*Q;if(Ve<=2)return new ze(nt,Q);Et=Math.sqrt(Ve/2)}else{let Te=!1;ot>Number.EPSILON?Qe>Number.EPSILON&&(Te=!0):ot<-Number.EPSILON?Qe<-Number.EPSILON&&(Te=!0):Math.sign(Tt)===Math.sign(G)&&(Te=!0),Te?(nt=-Tt,Q=ot,Et=Math.sqrt(O)):(nt=ot,Q=Tt,Et=Math.sqrt(O/2))}return new ze(nt/Et,Q/Et)}const be=[];for(let Le=0,He=pe.length,Oe=He-1,nt=Le+1;Le=0;Le--){const He=Le/w,Oe=M*Math.cos(He*Math.PI/2),nt=A*Math.sin(He*Math.PI/2)+R;for(let Q=0,Et=pe.length;Q=0;){const nt=Oe;let Q=Oe-1;Q<0&&(Q=Le.length-1);for(let Et=0,ot=_+w*2;Et0)&&M.push(D,U,z),(E!==n-1||m0!=e>0&&this.version++,this._anisotropy=e}get clearcoat(){return this._clearcoat}set clearcoat(e){this._clearcoat>0!=e>0&&this.version++,this._clearcoat=e}get iridescence(){return this._iridescence}set iridescence(e){this._iridescence>0!=e>0&&this.version++,this._iridescence=e}get dispersion(){return this._dispersion}set dispersion(e){this._dispersion>0!=e>0&&this.version++,this._dispersion=e}get sheen(){return this._sheen}set sheen(e){this._sheen>0!=e>0&&this.version++,this._sheen=e}get transmission(){return this._transmission}set transmission(e){this._transmission>0!=e>0&&this.version++,this._transmission=e}copy(e){return super.copy(e),this.defines={STANDARD:"",PHYSICAL:""},this.anisotropy=e.anisotropy,this.anisotropyRotation=e.anisotropyRotation,this.anisotropyMap=e.anisotropyMap,this.clearcoat=e.clearcoat,this.clearcoatMap=e.clearcoatMap,this.clearcoatRoughness=e.clearcoatRoughness,this.clearcoatRoughnessMap=e.clearcoatRoughnessMap,this.clearcoatNormalMap=e.clearcoatNormalMap,this.clearcoatNormalScale.copy(e.clearcoatNormalScale),this.dispersion=e.dispersion,this.ior=e.ior,this.iridescence=e.iridescence,this.iridescenceMap=e.iridescenceMap,this.iridescenceIOR=e.iridescenceIOR,this.iridescenceThicknessRange=[...e.iridescenceThicknessRange],this.iridescenceThicknessMap=e.iridescenceThicknessMap,this.sheen=e.sheen,this.sheenColor.copy(e.sheenColor),this.sheenColorMap=e.sheenColorMap,this.sheenRoughness=e.sheenRoughness,this.sheenRoughnessMap=e.sheenRoughnessMap,this.transmission=e.transmission,this.transmissionMap=e.transmissionMap,this.thickness=e.thickness,this.thicknessMap=e.thicknessMap,this.attenuationDistance=e.attenuationDistance,this.attenuationColor.copy(e.attenuationColor),this.specularIntensity=e.specularIntensity,this.specularIntensityMap=e.specularIntensityMap,this.specularColor.copy(e.specularColor),this.specularColorMap=e.specularColorMap,this}}class mT extends Ba{constructor(e){super(),this.isMeshPhongMaterial=!0,this.type="MeshPhongMaterial",this.color=new yt(16777215),this.specular=new yt(1118481),this.shininess=30,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.specular.copy(e.specular),this.shininess=e.shininess,this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}}class gT extends Ba{constructor(e){super(),this.isMeshToonMaterial=!0,this.defines={TOON:""},this.type="MeshToonMaterial",this.color=new yt(16777215),this.map=null,this.gradientMap=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.gradientMap=e.gradientMap,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}class vT extends Ba{constructor(e){super(),this.isMeshNormalMaterial=!0,this.type="MeshNormalMaterial",this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.setValues(e)}copy(e){return super.copy(e),this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this}}class yT extends Ba{constructor(e){super(),this.isMeshLambertMaterial=!0,this.type="MeshLambertMaterial",this.color=new yt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}}class Wb extends Ba{constructor(e){super(),this.isMeshDepthMaterial=!0,this.type="MeshDepthMaterial",this.depthPacking=NE,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.setValues(e)}copy(e){return super.copy(e),this.depthPacking=e.depthPacking,this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this}}class qb extends Ba{constructor(e){super(),this.isMeshDistanceMaterial=!0,this.type="MeshDistanceMaterial",this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.setValues(e)}copy(e){return super.copy(e),this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this}}class _T extends Ba{constructor(e){super(),this.isMeshMatcapMaterial=!0,this.defines={MATCAP:""},this.type="MeshMatcapMaterial",this.color=new yt(16777215),this.matcap=null,this.map=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.defines={MATCAP:""},this.color.copy(e.color),this.matcap=e.matcap,this.map=e.map,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this.fog=e.fog,this}}class xT extends ss{constructor(e){super(),this.isLineDashedMaterial=!0,this.type="LineDashedMaterial",this.scale=1,this.dashSize=3,this.gapSize=1,this.setValues(e)}copy(e){return super.copy(e),this.scale=e.scale,this.dashSize=e.dashSize,this.gapSize=e.gapSize,this}}function Qc(r,e){return!r||r.constructor===e?r:typeof e.BYTES_PER_ELEMENT=="number"?new e(r):Array.prototype.slice.call(r)}function bT(r){function e(s,u){return r[s]-r[u]}const t=r.length,n=new Array(t);for(let s=0;s!==t;++s)n[s]=s;return n.sort(e),n}function Kx(r,e,t){const n=r.length,s=new r.constructor(n);for(let u=0,f=0;f!==n;++u){const h=t[u]*e;for(let m=0;m!==e;++m)s[f++]=r[h+m]}return s}function jb(r,e,t,n){let s=1,u=r[0];for(;u!==void 0&&u[n]===void 0;)u=r[s++];if(u===void 0)return;let f=u[n];if(f!==void 0)if(Array.isArray(f))do f=u[n],f!==void 0&&(e.push(u.time),t.push(...f)),u=r[s++];while(u!==void 0);else if(f.toArray!==void 0)do f=u[n],f!==void 0&&(e.push(u.time),f.toArray(t,t.length)),u=r[s++];while(u!==void 0);else do f=u[n],f!==void 0&&(e.push(u.time),t.push(f)),u=r[s++];while(u!==void 0)}function NN(r,e,t,n,s=30){const u=r.clone();u.name=e;const f=[];for(let m=0;m=n)){x.push(g.times[M]);for(let R=0;R<_;++R)b.push(g.values[M*_+R])}}x.length!==0&&(g.times=Qc(x,g.times.constructor),g.values=Qc(b,g.values.constructor),f.push(g))}u.tracks=f;let h=1/0;for(let m=0;mu.tracks[m].times[0]&&(h=u.tracks[m].times[0]);for(let m=0;m=h.times[A]){const E=A*x+_,N=E+x-_;R=h.values.slice(E,N)}else{const E=h.createInterpolant(),N=_,D=x-_;E.evaluate(u),R=E.resultBuffer.slice(N,D)}m==="quaternion"&&new Pa().fromArray(R).normalize().conjugate().toArray(R);const w=g.times.length;for(let E=0;E=u)){const h=t[1];e=u)break t}f=n,n=0;break n}break e}for(;n>>1;et;)--f;if(++f,u!==0||f!==s){u>=f&&(f=Math.max(f,1),u=f-1);const h=this.getValueSize();this.times=n.slice(u,f),this.values=this.values.slice(u*h,f*h)}return this}validate(){let e=!0;const t=this.getValueSize();t-Math.floor(t)!==0&&(Rt("KeyframeTrack: Invalid value size in track.",this),e=!1);const n=this.times,s=this.values,u=n.length;u===0&&(Rt("KeyframeTrack: Track is empty.",this),e=!1);let f=null;for(let h=0;h!==u;h++){const m=n[h];if(typeof m=="number"&&isNaN(m)){Rt("KeyframeTrack: Time is not a valid number.",this,h,m),e=!1;break}if(f!==null&&f>m){Rt("KeyframeTrack: Out of order keys.",this,h,m,f),e=!1;break}f=m}if(s!==void 0&&FE(s))for(let h=0,m=s.length;h!==m;++h){const g=s[h];if(isNaN(g)){Rt("KeyframeTrack: Value is not a valid number.",this,h,g),e=!1;break}}return e}optimize(){const e=this.times.slice(),t=this.values.slice(),n=this.getValueSize(),s=this.getInterpolation()===dv,u=e.length-1;let f=1;for(let h=1;h0){e[f]=e[u];for(let h=u*n,m=f*n,g=0;g!==n;++g)t[m+g]=t[h+g];++f}return f!==e.length?(this.times=e.slice(0,f),this.values=t.slice(0,f*n)):(this.times=e,this.values=t),this}clone(){const e=this.times.slice(),t=this.values.slice(),n=this.constructor,s=new n(this.name,e,t);return s.createInterpolant=this.createInterpolant,s}}_r.prototype.ValueTypeName="";_r.prototype.TimeBufferType=Float32Array;_r.prototype.ValueBufferType=Float32Array;_r.prototype.DefaultInterpolation=ay;class uf extends _r{constructor(e,t,n){super(e,t,n)}}uf.prototype.ValueTypeName="bool";uf.prototype.ValueBufferType=Array;uf.prototype.DefaultInterpolation=fm;uf.prototype.InterpolantFactoryMethodLinear=void 0;uf.prototype.InterpolantFactoryMethodSmooth=void 0;class Zb extends _r{constructor(e,t,n,s){super(e,t,n,s)}}Zb.prototype.ValueTypeName="color";class xm extends _r{constructor(e,t,n,s){super(e,t,n,s)}}xm.prototype.ValueTypeName="number";class ET extends Um{constructor(e,t,n,s){super(e,t,n,s)}interpolate_(e,t,n,s){const u=this.resultBuffer,f=this.sampleValues,h=this.valueSize,m=(n-t)/(s-t);let g=e*h;for(let _=g+h;g!==_;g+=4)Pa.slerpFlat(u,0,f,g-h,f,g,m);return u}}class Im extends _r{constructor(e,t,n,s){super(e,t,n,s)}InterpolantFactoryMethodLinear(e){return new ET(this.times,this.values,this.getValueSize(),e)}}Im.prototype.ValueTypeName="quaternion";Im.prototype.InterpolantFactoryMethodSmooth=void 0;class cf extends _r{constructor(e,t,n){super(e,t,n)}}cf.prototype.ValueTypeName="string";cf.prototype.ValueBufferType=Array;cf.prototype.DefaultInterpolation=fm;cf.prototype.InterpolantFactoryMethodLinear=void 0;cf.prototype.InterpolantFactoryMethodSmooth=void 0;class bm extends _r{constructor(e,t,n,s){super(e,t,n,s)}}bm.prototype.ValueTypeName="vector";class Sm{constructor(e="",t=-1,n=[],s=Ey){this.name=e,this.tracks=n,this.duration=t,this.blendMode=s,this.uuid=Vs(),this.userData={},this.duration<0&&this.resetDuration()}static parse(e){const t=[],n=e.tracks,s=1/(e.fps||1);for(let f=0,h=n.length;f!==h;++f)t.push(IN(n[f]).scale(s));const u=new this(e.name,e.duration,t,e.blendMode);return u.uuid=e.uuid,u.userData=JSON.parse(e.userData||"{}"),u}static toJSON(e){const t=[],n=e.tracks,s={name:e.name,duration:e.duration,tracks:t,uuid:e.uuid,blendMode:e.blendMode,userData:JSON.stringify(e.userData)};for(let u=0,f=n.length;u!==f;++u)t.push(_r.toJSON(n[u]));return s}static CreateFromMorphTargetSequence(e,t,n,s){const u=t.length,f=[];for(let h=0;h1){const x=_[1];let b=s[x];b||(s[x]=b=[]),b.push(g)}}const f=[];for(const h in s)f.push(this.CreateFromMorphTargetSequence(h,s[h],t,n));return f}static parseAnimation(e,t){if(ft("AnimationClip: parseAnimation() is deprecated and will be removed with r185"),!e)return Rt("AnimationClip: No animation in JSONLoader data."),null;const n=function(x,b,M,A,R){if(M.length!==0){const w=[],E=[];jb(M,w,E,A),w.length!==0&&R.push(new x(b,w,E))}},s=[],u=e.name||"default",f=e.fps||30,h=e.blendMode;let m=e.length||-1;const g=e.hierarchy||[];for(let x=0;x{t&&t(u),this.manager.itemEnd(e)},0),u;if(Al[e]!==void 0){Al[e].push({onLoad:t,onProgress:n,onError:s});return}Al[e]=[],Al[e].push({onLoad:t,onProgress:n,onError:s});const f=new Request(e,{headers:new Headers(this.requestHeader),credentials:this.withCredentials?"include":"same-origin",signal:typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal}),h=this.mimeType,m=this.responseType;fetch(f).then(g=>{if(g.status===200||g.status===0){if(g.status===0&&ft("FileLoader: HTTP Status 0 received."),typeof ReadableStream>"u"||g.body===void 0||g.body.getReader===void 0)return g;const _=Al[e],x=g.body.getReader(),b=g.headers.get("X-File-Size")||g.headers.get("Content-Length"),M=b?parseInt(b):0,A=M!==0;let R=0;const w=new ReadableStream({start(E){N();function N(){x.read().then(({done:D,value:U})=>{if(D)E.close();else{R+=U.byteLength;const B=new ProgressEvent("progress",{lengthComputable:A,loaded:R,total:M});for(let z=0,H=_.length;z{E.error(D)})}}});return new Response(w)}else throw new ON(`fetch for "${g.url}" responded with ${g.status}: ${g.statusText}`,g)}).then(g=>{switch(m){case"arraybuffer":return g.arrayBuffer();case"blob":return g.blob();case"document":return g.text().then(_=>new DOMParser().parseFromString(_,h));case"json":return g.json();default:if(h==="")return g.text();{const x=/charset="?([^;"\s]*)"?/i.exec(h),b=x&&x[1]?x[1].toLowerCase():void 0,M=new TextDecoder(b);return g.arrayBuffer().then(A=>M.decode(A))}}}).then(g=>{Oo.add(`file:${e}`,g);const _=Al[e];delete Al[e];for(let x=0,b=_.length;x{const _=Al[e];if(_===void 0)throw this.manager.itemError(e),g;delete Al[e];for(let x=0,b=_.length;x{this.manager.itemEnd(e)}),this.manager.itemStart(e)}setResponseType(e){return this.responseType=e,this}setMimeType(e){return this.mimeType=e,this}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}class PN extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(this.manager);f.setPath(this.path),f.setRequestHeader(this.requestHeader),f.setWithCredentials(this.withCredentials),f.load(e,function(h){try{t(u.parse(JSON.parse(h)))}catch(m){s?s(m):Rt(m),u.manager.itemError(e)}},n,s)}parse(e){const t=[];for(let n=0;n0:s.vertexColors=e.vertexColors),e.uniforms!==void 0)for(const u in e.uniforms){const f=e.uniforms[u];switch(s.uniforms[u]={},f.type){case"t":s.uniforms[u].value=n(f.value);break;case"c":s.uniforms[u].value=new yt().setHex(f.value);break;case"v2":s.uniforms[u].value=new ze().fromArray(f.value);break;case"v3":s.uniforms[u].value=new j().fromArray(f.value);break;case"v4":s.uniforms[u].value=new jn().fromArray(f.value);break;case"m3":s.uniforms[u].value=new en().fromArray(f.value);break;case"m4":s.uniforms[u].value=new Xt().fromArray(f.value);break;default:s.uniforms[u].value=f.value}}if(e.defines!==void 0&&(s.defines=e.defines),e.vertexShader!==void 0&&(s.vertexShader=e.vertexShader),e.fragmentShader!==void 0&&(s.fragmentShader=e.fragmentShader),e.glslVersion!==void 0&&(s.glslVersion=e.glslVersion),e.extensions!==void 0)for(const u in e.extensions)s.extensions[u]=e.extensions[u];if(e.lights!==void 0&&(s.lights=e.lights),e.clipping!==void 0&&(s.clipping=e.clipping),e.size!==void 0&&(s.size=e.size),e.sizeAttenuation!==void 0&&(s.sizeAttenuation=e.sizeAttenuation),e.map!==void 0&&(s.map=n(e.map)),e.matcap!==void 0&&(s.matcap=n(e.matcap)),e.alphaMap!==void 0&&(s.alphaMap=n(e.alphaMap)),e.bumpMap!==void 0&&(s.bumpMap=n(e.bumpMap)),e.bumpScale!==void 0&&(s.bumpScale=e.bumpScale),e.normalMap!==void 0&&(s.normalMap=n(e.normalMap)),e.normalMapType!==void 0&&(s.normalMapType=e.normalMapType),e.normalScale!==void 0){let u=e.normalScale;Array.isArray(u)===!1&&(u=[u,u]),s.normalScale=new ze().fromArray(u)}return e.displacementMap!==void 0&&(s.displacementMap=n(e.displacementMap)),e.displacementScale!==void 0&&(s.displacementScale=e.displacementScale),e.displacementBias!==void 0&&(s.displacementBias=e.displacementBias),e.roughnessMap!==void 0&&(s.roughnessMap=n(e.roughnessMap)),e.metalnessMap!==void 0&&(s.metalnessMap=n(e.metalnessMap)),e.emissiveMap!==void 0&&(s.emissiveMap=n(e.emissiveMap)),e.emissiveIntensity!==void 0&&(s.emissiveIntensity=e.emissiveIntensity),e.specularMap!==void 0&&(s.specularMap=n(e.specularMap)),e.specularIntensityMap!==void 0&&(s.specularIntensityMap=n(e.specularIntensityMap)),e.specularColorMap!==void 0&&(s.specularColorMap=n(e.specularColorMap)),e.envMap!==void 0&&(s.envMap=n(e.envMap)),e.envMapRotation!==void 0&&s.envMapRotation.fromArray(e.envMapRotation),e.envMapIntensity!==void 0&&(s.envMapIntensity=e.envMapIntensity),e.reflectivity!==void 0&&(s.reflectivity=e.reflectivity),e.refractionRatio!==void 0&&(s.refractionRatio=e.refractionRatio),e.lightMap!==void 0&&(s.lightMap=n(e.lightMap)),e.lightMapIntensity!==void 0&&(s.lightMapIntensity=e.lightMapIntensity),e.aoMap!==void 0&&(s.aoMap=n(e.aoMap)),e.aoMapIntensity!==void 0&&(s.aoMapIntensity=e.aoMapIntensity),e.gradientMap!==void 0&&(s.gradientMap=n(e.gradientMap)),e.clearcoatMap!==void 0&&(s.clearcoatMap=n(e.clearcoatMap)),e.clearcoatRoughnessMap!==void 0&&(s.clearcoatRoughnessMap=n(e.clearcoatRoughnessMap)),e.clearcoatNormalMap!==void 0&&(s.clearcoatNormalMap=n(e.clearcoatNormalMap)),e.clearcoatNormalScale!==void 0&&(s.clearcoatNormalScale=new ze().fromArray(e.clearcoatNormalScale)),e.iridescenceMap!==void 0&&(s.iridescenceMap=n(e.iridescenceMap)),e.iridescenceThicknessMap!==void 0&&(s.iridescenceThicknessMap=n(e.iridescenceThicknessMap)),e.transmissionMap!==void 0&&(s.transmissionMap=n(e.transmissionMap)),e.thicknessMap!==void 0&&(s.thicknessMap=n(e.thicknessMap)),e.anisotropyMap!==void 0&&(s.anisotropyMap=n(e.anisotropyMap)),e.sheenColorMap!==void 0&&(s.sheenColorMap=n(e.sheenColorMap)),e.sheenRoughnessMap!==void 0&&(s.sheenRoughnessMap=n(e.sheenRoughnessMap)),s}setTextures(e){return this.textures=e,this}createMaterialFromType(e){return Zy.createMaterialFromType(e)}static createMaterialFromType(e){const t={ShadowMaterial:dT,SpriteMaterial:Ub,RawShaderMaterial:Gb,ShaderMaterial:yr,PointsMaterial:Ob,MeshPhysicalMaterial:pT,MeshStandardMaterial:Xb,MeshPhongMaterial:mT,MeshToonMaterial:gT,MeshNormalMaterial:vT,MeshLambertMaterial:yT,MeshDepthMaterial:Wb,MeshDistanceMaterial:qb,MeshBasicMaterial:Vu,MeshMatcapMaterial:_T,LineDashedMaterial:xT,LineBasicMaterial:ss,Material:Ba};return new t[e]}}class Jx{static extractUrlBase(e){const t=e.lastIndexOf("/");return t===-1?"./":e.slice(0,t+1)}static resolveURL(e,t){return typeof e!="string"||e===""?"":(/^https?:\/\//i.test(t)&&/^\//.test(e)&&(t=t.replace(/(^https?:\/\/[^\/]+).*/i,"$1")),/^(https?:)?\/\//i.test(e)||/^data:.*,.*$/i.test(e)||/^blob:.*$/i.test(e)?e:t+e)}}class UT extends Kt{constructor(){super(),this.isInstancedBufferGeometry=!0,this.type="InstancedBufferGeometry",this.instanceCount=1/0}copy(e){return super.copy(e),this.instanceCount=e.instanceCount,this}toJSON(){const e=super.toJSON();return e.instanceCount=this.instanceCount,e.isInstancedBufferGeometry=!0,e}}class IT extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(u.manager);f.setPath(u.path),f.setRequestHeader(u.requestHeader),f.setWithCredentials(u.withCredentials),f.load(e,function(h){try{t(u.parse(JSON.parse(h)))}catch(m){s?s(m):Rt(m),u.manager.itemError(e)}},n,s)}parse(e){const t={},n={};function s(M,A){if(t[A]!==void 0)return t[A];const w=M.interleavedBuffers[A],E=u(M,w.buffer),N=Hh(w.type,E),D=new Ly(N,w.stride);return D.uuid=w.uuid,t[A]=D,D}function u(M,A){if(n[A]!==void 0)return n[A];const w=M.arrayBuffers[A],E=new Uint32Array(w).buffer;return n[A]=E,E}const f=e.isInstancedBufferGeometry?new UT:new Kt,h=e.data.index;if(h!==void 0){const M=Hh(h.type,h.array);f.setIndex(new Xn(M,1))}const m=e.data.attributes;for(const M in m){const A=m[M];let R;if(A.isInterleavedBufferAttribute){const w=s(e.data,A.data);R=new nf(w,A.itemSize,A.offset,A.normalized)}else{const w=Hh(A.type,A.array),E=A.isInstancedBufferAttribute?$h:Xn;R=new E(w,A.itemSize,A.normalized)}A.name!==void 0&&(R.name=A.name),A.usage!==void 0&&R.setUsage(A.usage),f.setAttribute(M,R)}const g=e.data.morphAttributes;if(g)for(const M in g){const A=g[M],R=[];for(let w=0,E=A.length;w0){const m=new Qb(t);u=new Mm(m),u.setCrossOrigin(this.crossOrigin);for(let g=0,_=e.length;g<_;g++){const x=e[g],b=x.url;if(Array.isArray(b)){const M=[];for(let A=0,R=b.length;A0){s=new Mm(this.manager),s.setCrossOrigin(this.crossOrigin);for(let f=0,h=e.length;f{let E=null,N=null;return w.boundingBox!==void 0&&(E=new za().fromJSON(w.boundingBox)),w.boundingSphere!==void 0&&(N=new _a().fromJSON(w.boundingSphere)),{...w,boundingBox:E,boundingSphere:N}}),f._instanceInfo=e.instanceInfo,f._availableInstanceIds=e._availableInstanceIds,f._availableGeometryIds=e._availableGeometryIds,f._nextIndexStart=e.nextIndexStart,f._nextVertexStart=e.nextVertexStart,f._geometryCount=e.geometryCount,f._maxInstanceCount=e.maxInstanceCount,f._maxVertexCount=e.maxVertexCount,f._maxIndexCount=e.maxIndexCount,f._geometryInitialized=e.geometryInitialized,f._matricesTexture=g(e.matricesTexture.uuid),f._indirectTexture=g(e.indirectTexture.uuid),e.colorsTexture!==void 0&&(f._colorsTexture=g(e.colorsTexture.uuid)),e.boundingSphere!==void 0&&(f.boundingSphere=new _a().fromJSON(e.boundingSphere)),e.boundingBox!==void 0&&(f.boundingBox=new za().fromJSON(e.boundingBox));break;case"LOD":f=new YE;break;case"Line":f=new Fu(h(e.geometry),m(e.material));break;case"LineLoop":f=new JE(h(e.geometry),m(e.material));break;case"LineSegments":f=new Vo(h(e.geometry),m(e.material));break;case"PointCloud":case"Points":f=new $E(h(e.geometry),m(e.material));break;case"Sprite":f=new jE(m(e.material));break;case"Group":f=new Gh;break;case"Bone":f=new Ib;break;default:f=new Cn}if(f.uuid=e.uuid,e.name!==void 0&&(f.name=e.name),e.matrix!==void 0?(f.matrix.fromArray(e.matrix),e.matrixAutoUpdate!==void 0&&(f.matrixAutoUpdate=e.matrixAutoUpdate),f.matrixAutoUpdate&&f.matrix.decompose(f.position,f.quaternion,f.scale)):(e.position!==void 0&&f.position.fromArray(e.position),e.rotation!==void 0&&f.rotation.fromArray(e.rotation),e.quaternion!==void 0&&f.quaternion.fromArray(e.quaternion),e.scale!==void 0&&f.scale.fromArray(e.scale)),e.up!==void 0&&f.up.fromArray(e.up),e.castShadow!==void 0&&(f.castShadow=e.castShadow),e.receiveShadow!==void 0&&(f.receiveShadow=e.receiveShadow),e.shadow&&(e.shadow.intensity!==void 0&&(f.shadow.intensity=e.shadow.intensity),e.shadow.bias!==void 0&&(f.shadow.bias=e.shadow.bias),e.shadow.normalBias!==void 0&&(f.shadow.normalBias=e.shadow.normalBias),e.shadow.radius!==void 0&&(f.shadow.radius=e.shadow.radius),e.shadow.mapSize!==void 0&&f.shadow.mapSize.fromArray(e.shadow.mapSize),e.shadow.camera!==void 0&&(f.shadow.camera=this.parseObject(e.shadow.camera))),e.visible!==void 0&&(f.visible=e.visible),e.frustumCulled!==void 0&&(f.frustumCulled=e.frustumCulled),e.renderOrder!==void 0&&(f.renderOrder=e.renderOrder),e.userData!==void 0&&(f.userData=e.userData),e.layers!==void 0&&(f.layers.mask=e.layers),e.children!==void 0){const b=e.children;for(let M=0;M"u"&&ft("ImageBitmapLoader: createImageBitmap() not supported."),typeof fetch>"u"&&ft("ImageBitmapLoader: fetch() not supported."),this.options={premultiplyAlpha:"none"},this._abortController=new AbortController}setOptions(e){return this.options=e,this}load(e,t,n,s){e===void 0&&(e=""),this.path!==void 0&&(e=this.path+e),e=this.manager.resolveURL(e);const u=this,f=Oo.get(`image-bitmap:${e}`);if(f!==void 0){if(u.manager.itemStart(e),f.then){f.then(g=>{if(yx.has(f)===!0)s&&s(yx.get(f)),u.manager.itemError(e),u.manager.itemEnd(e);else return t&&t(g),u.manager.itemEnd(e),g});return}return setTimeout(function(){t&&t(f),u.manager.itemEnd(e)},0),f}const h={};h.credentials=this.crossOrigin==="anonymous"?"same-origin":"include",h.headers=this.requestHeader,h.signal=typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal;const m=fetch(e,h).then(function(g){return g.blob()}).then(function(g){return createImageBitmap(g,Object.assign(u.options,{colorSpaceConversion:"none"}))}).then(function(g){return Oo.add(`image-bitmap:${e}`,g),t&&t(g),u.manager.itemEnd(e),g}).catch(function(g){s&&s(g),yx.set(m,g),Oo.remove(`image-bitmap:${e}`),u.manager.itemError(e),u.manager.itemEnd(e)});Oo.add(`image-bitmap:${e}`,m),u.manager.itemStart(e)}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}let ev;class $b{static getContext(){return ev===void 0&&(ev=new(window.AudioContext||window.webkitAudioContext)),ev}static setContext(e){ev=e}}class jN extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(this.manager);f.setResponseType("arraybuffer"),f.setPath(this.path),f.setRequestHeader(this.requestHeader),f.setWithCredentials(this.withCredentials),f.load(e,function(m){try{const g=m.slice(0);$b.getContext().decodeAudioData(g,function(x){t(x)}).catch(h)}catch(g){h(g)}},n,s);function h(m){s?s(m):Rt(m),u.manager.itemError(e)}}}const KM=new Xt,JM=new Xt,Oc=new Xt;class YN{constructor(){this.type="StereoCamera",this.aspect=1,this.eyeSep=.064,this.cameraL=new zi,this.cameraL.layers.enable(1),this.cameraL.matrixAutoUpdate=!1,this.cameraR=new zi,this.cameraR.layers.enable(2),this.cameraR.matrixAutoUpdate=!1,this._cache={focus:null,fov:null,aspect:null,near:null,far:null,zoom:null,eyeSep:null}}update(e){const t=this._cache;if(t.focus!==e.focus||t.fov!==e.fov||t.aspect!==e.aspect*this.aspect||t.near!==e.near||t.far!==e.far||t.zoom!==e.zoom||t.eyeSep!==this.eyeSep){t.focus=e.focus,t.fov=e.fov,t.aspect=e.aspect*this.aspect,t.near=e.near,t.far=e.far,t.zoom=e.zoom,t.eyeSep=this.eyeSep,Oc.copy(e.projectionMatrix);const s=t.eyeSep/2,u=s*t.near/t.focus,f=t.near*Math.tan(Jc*t.fov*.5)/t.zoom;let h,m;JM.elements[12]=-s,KM.elements[12]=s,h=-f*t.aspect+u,m=f*t.aspect+u,Oc.elements[0]=2*t.near/(m-h),Oc.elements[8]=(m+h)/(m-h),this.cameraL.projectionMatrix.copy(Oc),h=-f*t.aspect-u,m=f*t.aspect-u,Oc.elements[0]=2*t.near/(m-h),Oc.elements[8]=(m+h)/(m-h),this.cameraR.projectionMatrix.copy(Oc)}this.cameraL.matrixWorld.copy(e.matrixWorld).multiply(JM),this.cameraR.matrixWorld.copy(e.matrixWorld).multiply(KM)}}class OT extends zi{constructor(e=[]){super(),this.isArrayCamera=!0,this.isMultiViewCamera=!1,this.cameras=e}}class eS{constructor(e=!0){this.autoStart=e,this.startTime=0,this.oldTime=0,this.elapsedTime=0,this.running=!1}start(){this.startTime=performance.now(),this.oldTime=this.startTime,this.elapsedTime=0,this.running=!0}stop(){this.getElapsedTime(),this.running=!1,this.autoStart=!1}getElapsedTime(){return this.getDelta(),this.elapsedTime}getDelta(){let e=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){const t=performance.now();e=(t-this.oldTime)/1e3,this.oldTime=t,this.elapsedTime+=e}return e}}const Pc=new j,_x=new Pa,ZN=new j,zc=new j,Bc=new j;class QN extends Cn{constructor(){super(),this.type="AudioListener",this.context=$b.getContext(),this.gain=this.context.createGain(),this.gain.connect(this.context.destination),this.filter=null,this.timeDelta=0,this._clock=new eS}getInput(){return this.gain}removeFilter(){return this.filter!==null&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null),this}getFilter(){return this.filter}setFilter(e){return this.filter!==null?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):this.gain.disconnect(this.context.destination),this.filter=e,this.gain.connect(this.filter),this.filter.connect(this.context.destination),this}getMasterVolume(){return this.gain.gain.value}setMasterVolume(e){return this.gain.gain.setTargetAtTime(e,this.context.currentTime,.01),this}updateMatrixWorld(e){super.updateMatrixWorld(e);const t=this.context.listener;if(this.timeDelta=this._clock.getDelta(),this.matrixWorld.decompose(Pc,_x,ZN),zc.set(0,0,-1).applyQuaternion(_x),Bc.set(0,1,0).applyQuaternion(_x),t.positionX){const n=this.context.currentTime+this.timeDelta;t.positionX.linearRampToValueAtTime(Pc.x,n),t.positionY.linearRampToValueAtTime(Pc.y,n),t.positionZ.linearRampToValueAtTime(Pc.z,n),t.forwardX.linearRampToValueAtTime(zc.x,n),t.forwardY.linearRampToValueAtTime(zc.y,n),t.forwardZ.linearRampToValueAtTime(zc.z,n),t.upX.linearRampToValueAtTime(Bc.x,n),t.upY.linearRampToValueAtTime(Bc.y,n),t.upZ.linearRampToValueAtTime(Bc.z,n)}else t.setPosition(Pc.x,Pc.y,Pc.z),t.setOrientation(zc.x,zc.y,zc.z,Bc.x,Bc.y,Bc.z)}}let PT=class extends Cn{constructor(e){super(),this.type="Audio",this.listener=e,this.context=e.context,this.gain=this.context.createGain(),this.gain.connect(e.getInput()),this.autoplay=!1,this.buffer=null,this.detune=0,this.loop=!1,this.loopStart=0,this.loopEnd=0,this.offset=0,this.duration=void 0,this.playbackRate=1,this.isPlaying=!1,this.hasPlaybackControl=!0,this.source=null,this.sourceType="empty",this._startedAt=0,this._progress=0,this._connected=!1,this.filters=[]}getOutput(){return this.gain}setNodeSource(e){return this.hasPlaybackControl=!1,this.sourceType="audioNode",this.source=e,this.connect(),this}setMediaElementSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaNode",this.source=this.context.createMediaElementSource(e),this.connect(),this}setMediaStreamSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaStreamNode",this.source=this.context.createMediaStreamSource(e),this.connect(),this}setBuffer(e){return this.buffer=e,this.sourceType="buffer",this.autoplay&&this.play(),this}play(e=0){if(this.isPlaying===!0){ft("Audio: Audio is already playing.");return}if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}this._startedAt=this.context.currentTime+e;const t=this.context.createBufferSource();return t.buffer=this.buffer,t.loop=this.loop,t.loopStart=this.loopStart,t.loopEnd=this.loopEnd,t.onended=this.onEnded.bind(this),t.start(this._startedAt,this._progress+this.offset,this.duration),this.isPlaying=!0,this.source=t,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()}pause(){if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}return this.isPlaying===!0&&(this._progress+=Math.max(this.context.currentTime-this._startedAt,0)*this.playbackRate,this.loop===!0&&(this._progress=this._progress%(this.duration||this.buffer.duration)),this.source.stop(),this.source.onended=null,this.isPlaying=!1),this}stop(e=0){if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}return this._progress=0,this.source!==null&&(this.source.stop(this.context.currentTime+e),this.source.onended=null),this.isPlaying=!1,this}connect(){if(this.filters.length>0){this.source.connect(this.filters[0]);for(let e=1,t=this.filters.length;e0){this.source.disconnect(this.filters[0]);for(let e=1,t=this.filters.length;e0&&this._mixBufferRegionAdditive(n,s,this._addIndex*t,1,t);for(let m=t,g=t+t;m!==g;++m)if(n[m]!==n[m+t]){h.setValue(n,s);break}}saveOriginalState(){const e=this.binding,t=this.buffer,n=this.valueSize,s=n*this._origIndex;e.getValue(t,s);for(let u=n,f=s;u!==f;++u)t[u]=t[s+u%n];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){const e=this.valueSize*3;this.binding.setValue(this.buffer,e)}_setAdditiveIdentityNumeric(){const e=this._addIndex*this.valueSize,t=e+this.valueSize;for(let n=e;n=.5)for(let f=0;f!==u;++f)e[t+f]=e[n+f]}_slerp(e,t,n,s){Pa.slerpFlat(e,t,e,t,e,n,s)}_slerpAdditive(e,t,n,s,u){const f=this._workIndex*u;Pa.multiplyQuaternionsFlat(e,f,e,t,e,n),Pa.slerpFlat(e,t,e,t,e,f,s)}_lerp(e,t,n,s,u){const f=1-s;for(let h=0;h!==u;++h){const m=t+h;e[m]=e[m]*f+e[n+h]*s}}_lerpAdditive(e,t,n,s,u){for(let f=0;f!==u;++f){const h=t+f;e[h]=e[h]+e[n+f]*s}}}const tS="\\[\\]\\.:\\/",eD=new RegExp("["+tS+"]","g"),nS="[^"+tS+"]",tD="[^"+tS.replace("\\.","")+"]",nD=/((?:WC+[\/:])*)/.source.replace("WC",nS),iD=/(WCOD+)?/.source.replace("WCOD",tD),aD=/(?:\.(WC+)(?:\[(.+)\])?)?/.source.replace("WC",nS),sD=/\.(WC+)(?:\[(.+)\])?/.source.replace("WC",nS),rD=new RegExp("^"+nD+iD+aD+sD+"$"),oD=["material","materials","bones","map"];class lD{constructor(e,t,n){const s=n||wn.parseTrackName(t);this._targetGroup=e,this._bindings=e.subscribe_(t,s)}getValue(e,t){this.bind();const n=this._targetGroup.nCachedObjects_,s=this._bindings[n];s!==void 0&&s.getValue(e,t)}setValue(e,t){const n=this._bindings;for(let s=this._targetGroup.nCachedObjects_,u=n.length;s!==u;++s)n[s].setValue(e,t)}bind(){const e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].bind()}unbind(){const e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].unbind()}}class wn{constructor(e,t,n){this.path=t,this.parsedPath=n||wn.parseTrackName(t),this.node=wn.findNode(e,this.parsedPath.nodeName),this.rootNode=e,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}static create(e,t,n){return e&&e.isAnimationObjectGroup?new wn.Composite(e,t,n):new wn(e,t,n)}static sanitizeNodeName(e){return e.replace(/\s/g,"_").replace(eD,"")}static parseTrackName(e){const t=rD.exec(e);if(t===null)throw new Error("PropertyBinding: Cannot parse trackName: "+e);const n={nodeName:t[2],objectName:t[3],objectIndex:t[4],propertyName:t[5],propertyIndex:t[6]},s=n.nodeName&&n.nodeName.lastIndexOf(".");if(s!==void 0&&s!==-1){const u=n.nodeName.substring(s+1);oD.indexOf(u)!==-1&&(n.nodeName=n.nodeName.substring(0,s),n.objectName=u)}if(n.propertyName===null||n.propertyName.length===0)throw new Error("PropertyBinding: can not parse propertyName from trackName: "+e);return n}static findNode(e,t){if(t===void 0||t===""||t==="."||t===-1||t===e.name||t===e.uuid)return e;if(e.skeleton){const n=e.skeleton.getBoneByName(t);if(n!==void 0)return n}if(e.children){const n=function(u){for(let f=0;f=u){const x=u++,b=e[x];t[b.uuid]=_,e[_]=b,t[g]=x,e[x]=m;for(let M=0,A=s;M!==A;++M){const R=n[M],w=R[x],E=R[_];R[_]=w,R[x]=E}}}this.nCachedObjects_=u}uncache(){const e=this._objects,t=this._indicesByUUID,n=this._bindings,s=n.length;let u=this.nCachedObjects_,f=e.length;for(let h=0,m=arguments.length;h!==m;++h){const g=arguments[h],_=g.uuid,x=t[_];if(x!==void 0)if(delete t[_],x0&&(t[M.uuid]=x),e[x]=M,e.pop();for(let A=0,R=s;A!==R;++A){const w=n[A];w[x]=w[b],w.pop()}}}this.nCachedObjects_=u}subscribe_(e,t){const n=this._bindingsIndicesByPath;let s=n[e];const u=this._bindings;if(s!==void 0)return u[s];const f=this._paths,h=this._parsedPaths,m=this._objects,g=m.length,_=this.nCachedObjects_,x=new Array(g);s=u.length,n[e]=s,f.push(e),h.push(t),u.push(x);for(let b=_,M=m.length;b!==M;++b){const A=m[b];x[b]=new wn(A,e,t)}return x}unsubscribe_(e){const t=this._bindingsIndicesByPath,n=t[e];if(n!==void 0){const s=this._paths,u=this._parsedPaths,f=this._bindings,h=f.length-1,m=f[h],g=e[h];t[g]=n,f[n]=m,f.pop(),u[n]=u[h],u.pop(),s[n]=s[h],s.pop()}}}class BT{constructor(e,t,n=null,s=t.blendMode){this._mixer=e,this._clip=t,this._localRoot=n,this.blendMode=s;const u=t.tracks,f=u.length,h=new Array(f),m={endingStart:Yc,endingEnd:Yc};for(let g=0;g!==f;++g){const _=u[g].createInterpolant(null);h[g]=_,_.settings=m}this._interpolantSettings=m,this._interpolants=h,this._propertyBindings=new Array(f),this._cacheIndex=null,this._byClipCacheIndex=null,this._timeScaleInterpolant=null,this._weightInterpolant=null,this.loop=CE,this._loopCount=-1,this._startTime=null,this.time=0,this.timeScale=1,this._effectiveTimeScale=1,this.weight=1,this._effectiveWeight=1,this.repetitions=1/0,this.paused=!1,this.enabled=!0,this.clampWhenFinished=!1,this.zeroSlopeAtStart=!0,this.zeroSlopeAtEnd=!0}play(){return this._mixer._activateAction(this),this}stop(){return this._mixer._deactivateAction(this),this.reset()}reset(){return this.paused=!1,this.enabled=!0,this.time=0,this._loopCount=-1,this._startTime=null,this.stopFading().stopWarping()}isRunning(){return this.enabled&&!this.paused&&this.timeScale!==0&&this._startTime===null&&this._mixer._isActiveAction(this)}isScheduled(){return this._mixer._isActiveAction(this)}startAt(e){return this._startTime=e,this}setLoop(e,t){return this.loop=e,this.repetitions=t,this}setEffectiveWeight(e){return this.weight=e,this._effectiveWeight=this.enabled?e:0,this.stopFading()}getEffectiveWeight(){return this._effectiveWeight}fadeIn(e){return this._scheduleFading(e,0,1)}fadeOut(e){return this._scheduleFading(e,1,0)}crossFadeFrom(e,t,n=!1){if(e.fadeOut(t),this.fadeIn(t),n===!0){const s=this._clip.duration,u=e._clip.duration,f=u/s,h=s/u;e.warp(1,f,t),this.warp(h,1,t)}return this}crossFadeTo(e,t,n=!1){return e.crossFadeFrom(this,t,n)}stopFading(){const e=this._weightInterpolant;return e!==null&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}setEffectiveTimeScale(e){return this.timeScale=e,this._effectiveTimeScale=this.paused?0:e,this.stopWarping()}getEffectiveTimeScale(){return this._effectiveTimeScale}setDuration(e){return this.timeScale=this._clip.duration/e,this.stopWarping()}syncWith(e){return this.time=e.time,this.timeScale=e.timeScale,this.stopWarping()}halt(e){return this.warp(this._effectiveTimeScale,0,e)}warp(e,t,n){const s=this._mixer,u=s.time,f=this.timeScale;let h=this._timeScaleInterpolant;h===null&&(h=s._lendControlInterpolant(),this._timeScaleInterpolant=h);const m=h.parameterPositions,g=h.sampleValues;return m[0]=u,m[1]=u+n,g[0]=e/f,g[1]=t/f,this}stopWarping(){const e=this._timeScaleInterpolant;return e!==null&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}getMixer(){return this._mixer}getClip(){return this._clip}getRoot(){return this._localRoot||this._mixer._root}_update(e,t,n,s){if(!this.enabled){this._updateWeight(e);return}const u=this._startTime;if(u!==null){const m=(e-u)*n;m<0||n===0?t=0:(this._startTime=null,t=n*m)}t*=this._updateTimeScale(e);const f=this._updateTime(t),h=this._updateWeight(e);if(h>0){const m=this._interpolants,g=this._propertyBindings;switch(this.blendMode){case Ab:for(let _=0,x=m.length;_!==x;++_)m[_].evaluate(f),g[_].accumulateAdditive(h);break;case Ey:default:for(let _=0,x=m.length;_!==x;++_)m[_].evaluate(f),g[_].accumulate(s,h)}}}_updateWeight(e){let t=0;if(this.enabled){t=this.weight;const n=this._weightInterpolant;if(n!==null){const s=n.evaluate(e)[0];t*=s,e>n.parameterPositions[1]&&(this.stopFading(),s===0&&(this.enabled=!1))}}return this._effectiveWeight=t,t}_updateTimeScale(e){let t=0;if(!this.paused){t=this.timeScale;const n=this._timeScaleInterpolant;if(n!==null){const s=n.evaluate(e)[0];t*=s,e>n.parameterPositions[1]&&(this.stopWarping(),t===0?this.paused=!0:this.timeScale=t)}}return this._effectiveTimeScale=t,t}_updateTime(e){const t=this._clip.duration,n=this.loop;let s=this.time+e,u=this._loopCount;const f=n===RE;if(e===0)return u===-1?s:f&&(u&1)===1?t-s:s;if(n===wE){u===-1&&(this._loopCount=0,this._setEndings(!0,!0,!1));e:{if(s>=t)s=t;else if(s<0)s=0;else{this.time=s;break e}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=s,this._mixer.dispatchEvent({type:"finished",action:this,direction:e<0?-1:1})}}else{if(u===-1&&(e>=0?(u=0,this._setEndings(!0,this.repetitions===0,f)):this._setEndings(this.repetitions===0,!0,f)),s>=t||s<0){const h=Math.floor(s/t);s-=t*h,u+=Math.abs(h);const m=this.repetitions-u;if(m<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,s=e>0?t:0,this.time=s,this._mixer.dispatchEvent({type:"finished",action:this,direction:e>0?1:-1});else{if(m===1){const g=e<0;this._setEndings(g,!g,f)}else this._setEndings(!1,!1,f);this._loopCount=u,this.time=s,this._mixer.dispatchEvent({type:"loop",action:this,loopDelta:h})}}else this.time=s;if(f&&(u&1)===1)return t-s}return s}_setEndings(e,t,n){const s=this._interpolantSettings;n?(s.endingStart=Zc,s.endingEnd=Zc):(e?s.endingStart=this.zeroSlopeAtStart?Zc:Yc:s.endingStart=hm,t?s.endingEnd=this.zeroSlopeAtEnd?Zc:Yc:s.endingEnd=hm)}_scheduleFading(e,t,n){const s=this._mixer,u=s.time;let f=this._weightInterpolant;f===null&&(f=s._lendControlInterpolant(),this._weightInterpolant=f);const h=f.parameterPositions,m=f.sampleValues;return h[0]=u,m[0]=t,h[1]=u+e,m[1]=n,this}}const cD=new Float32Array(1);class fD extends ko{constructor(e){super(),this._root=e,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(e,t){const n=e._localRoot||this._root,s=e._clip.tracks,u=s.length,f=e._propertyBindings,h=e._interpolants,m=n.uuid,g=this._bindingsByRootAndName;let _=g[m];_===void 0&&(_={},g[m]=_);for(let x=0;x!==u;++x){const b=s[x],M=b.name;let A=_[M];if(A!==void 0)++A.referenceCount,f[x]=A;else{if(A=f[x],A!==void 0){A._cacheIndex===null&&(++A.referenceCount,this._addInactiveBinding(A,m,M));continue}const R=t&&t._propertyBindings[x].binding.parsedPath;A=new zT(wn.create(n,M,R),b.ValueTypeName,b.getValueSize()),++A.referenceCount,this._addInactiveBinding(A,m,M),f[x]=A}h[x].resultBuffer=A.buffer}}_activateAction(e){if(!this._isActiveAction(e)){if(e._cacheIndex===null){const n=(e._localRoot||this._root).uuid,s=e._clip.uuid,u=this._actionsByClip[s];this._bindAction(e,u&&u.knownActions[0]),this._addInactiveAction(e,s,n)}const t=e._propertyBindings;for(let n=0,s=t.length;n!==s;++n){const u=t[n];u.useCount++===0&&(this._lendBinding(u),u.saveOriginalState())}this._lendAction(e)}}_deactivateAction(e){if(this._isActiveAction(e)){const t=e._propertyBindings;for(let n=0,s=t.length;n!==s;++n){const u=t[n];--u.useCount===0&&(u.restoreOriginalState(),this._takeBackBinding(u))}this._takeBackAction(e)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;const e=this;this.stats={actions:{get total(){return e._actions.length},get inUse(){return e._nActiveActions}},bindings:{get total(){return e._bindings.length},get inUse(){return e._nActiveBindings}},controlInterpolants:{get total(){return e._controlInterpolants.length},get inUse(){return e._nActiveControlInterpolants}}}}_isActiveAction(e){const t=e._cacheIndex;return t!==null&&t=0;--n)e[n].stop();return this}update(e){e*=this.timeScale;const t=this._actions,n=this._nActiveActions,s=this.time+=e,u=Math.sign(e),f=this._accuIndex^=1;for(let g=0;g!==n;++g)t[g]._update(s,e,u,f);const h=this._bindings,m=this._nActiveBindings;for(let g=0;g!==m;++g)h[g].apply(f);return this}setTime(e){this.time=0;for(let t=0;t=this.min.x&&e.x<=this.max.x&&e.y>=this.min.y&&e.y<=this.max.y}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(e){return e.max.x>=this.min.x&&e.min.x<=this.max.x&&e.max.y>=this.min.y&&e.min.y<=this.max.y}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,n1).distanceTo(e)}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}}const i1=new j,tv=new j,Oh=new j,Ph=new j,xx=new j,bD=new j,SD=new j;class MD{constructor(e=new j,t=new j){this.start=e,this.end=t}set(e,t){return this.start.copy(e),this.end.copy(t),this}copy(e){return this.start.copy(e.start),this.end.copy(e.end),this}getCenter(e){return e.addVectors(this.start,this.end).multiplyScalar(.5)}delta(e){return e.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(e,t){return this.delta(t).multiplyScalar(e).add(this.start)}closestPointToPointParameter(e,t){i1.subVectors(e,this.start),tv.subVectors(this.end,this.start);const n=tv.dot(tv);let u=tv.dot(i1)/n;return t&&(u=Ht(u,0,1)),u}closestPointToPoint(e,t,n){const s=this.closestPointToPointParameter(e,t);return this.delta(n).multiplyScalar(s).add(this.start)}distanceSqToLine3(e,t=bD,n=SD){const s=10000000000000001e-32;let u,f;const h=this.start,m=e.start,g=this.end,_=e.end;Oh.subVectors(g,h),Ph.subVectors(_,m),xx.subVectors(h,m);const x=Oh.dot(Oh),b=Ph.dot(Ph),M=Ph.dot(xx);if(x<=s&&b<=s)return t.copy(h),n.copy(m),t.sub(n),t.dot(t);if(x<=s)u=0,f=M/b,f=Ht(f,0,1);else{const A=Oh.dot(xx);if(b<=s)f=0,u=Ht(-A/x,0,1);else{const R=Oh.dot(Ph),w=x*b-R*R;w!==0?u=Ht((R*M-A*b)/w,0,1):u=0,f=(R*u+M)/b,f<0?(f=0,u=Ht(-A/x,0,1)):f>1&&(f=1,u=Ht((R-A)/x,0,1))}}return t.copy(h).add(Oh.multiplyScalar(u)),n.copy(m).add(Ph.multiplyScalar(f)),t.sub(n),t.dot(t)}applyMatrix4(e){return this.start.applyMatrix4(e),this.end.applyMatrix4(e),this}equals(e){return e.start.equals(this.start)&&e.end.equals(this.end)}clone(){return new this.constructor().copy(this)}}const a1=new j;class ED extends Cn{constructor(e,t){super(),this.light=e,this.matrixAutoUpdate=!1,this.color=t,this.type="SpotLightHelper";const n=new Kt,s=[0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,-1,0,1,0,0,0,0,1,1,0,0,0,0,-1,1];for(let f=0,h=1,m=32;f1)for(let x=0;x.99999)this.quaternion.set(0,0,0,1);else if(e.y<-.99999)this.quaternion.set(1,0,0,0);else{u1.set(e.z,0,-e.x).normalize();const t=Math.acos(e.y);this.quaternion.setFromAxisAngle(u1,t)}}setLength(e,t=e*.2,n=t*.2){this.line.scale.set(1,Math.max(1e-4,e-t),1),this.line.updateMatrix(),this.cone.scale.set(n,t,n),this.cone.position.y=e,this.cone.updateMatrix()}setColor(e){this.line.material.color.set(e),this.cone.material.color.set(e)}copy(e){return super.copy(e,!1),this.line.copy(e.line),this.cone.copy(e.cone),this}dispose(){this.line.geometry.dispose(),this.line.material.dispose(),this.cone.geometry.dispose(),this.cone.material.dispose()}}class zD extends Vo{constructor(e=1){const t=[0,0,0,e,0,0,0,0,0,0,e,0,0,0,0,0,0,e],n=[1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],s=new Kt;s.setAttribute("position",new bt(t,3)),s.setAttribute("color",new bt(n,3));const u=new ss({vertexColors:!0,toneMapped:!1});super(s,u),this.type="AxesHelper"}setColors(e,t,n){const s=new yt,u=this.geometry.attributes.color.array;return s.set(e),s.toArray(u,0),s.toArray(u,3),s.set(t),s.toArray(u,6),s.toArray(u,9),s.set(n),s.toArray(u,12),s.toArray(u,15),this.geometry.attributes.color.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}}class BD{constructor(){this.type="ShapePath",this.color=new yt,this.subPaths=[],this.currentPath=null}moveTo(e,t){return this.currentPath=new ly,this.subPaths.push(this.currentPath),this.currentPath.moveTo(e,t),this}lineTo(e,t){return this.currentPath.lineTo(e,t),this}quadraticCurveTo(e,t,n,s){return this.currentPath.quadraticCurveTo(e,t,n,s),this}bezierCurveTo(e,t,n,s,u,f){return this.currentPath.bezierCurveTo(e,t,n,s,u,f),this}splineThru(e){return this.currentPath.splineThru(e),this}toShapes(e){function t(E){const N=[];for(let D=0,U=E.length;DNumber.EPSILON){if(P<0&&(H=N[z],I=-I,W=N[B],P=-P),E.yW.y)continue;if(E.y===H.y){if(E.x===H.x)return!0}else{const Z=P*(E.x-H.x)-I*(E.y-H.y);if(Z===0)return!0;if(Z<0)continue;U=!U}}else{if(E.y!==H.y)continue;if(W.x<=E.x&&E.x<=H.x||H.x<=E.x&&E.x<=W.x)return!0}}return U}const s=jr.isClockWise,u=this.subPaths;if(u.length===0)return[];let f,h,m;const g=[];if(u.length===1)return h=u[0],m=new $c,m.curves=h.curves,g.push(m),g;let _=!s(u[0].getPoints());_=e?!_:_;const x=[],b=[];let M=[],A=0,R;b[A]=void 0,M[A]=[];for(let E=0,N=u.length;E1){let E=!1,N=0;for(let D=0,U=b.length;D0&&E===!1&&(M=x)}let w;for(let E=0,N=b.length;Ee?(r.repeat.x=1,r.repeat.y=t/e,r.offset.x=0,r.offset.y=(1-r.repeat.y)/2):(r.repeat.x=e/t,r.repeat.y=1,r.offset.x=(1-r.repeat.x)/2,r.offset.y=0),r}function VD(r,e){const t=r.image&&r.image.width?r.image.width/r.image.height:1;return t>e?(r.repeat.x=e/t,r.repeat.y=1,r.offset.x=(1-r.repeat.x)/2,r.offset.y=0):(r.repeat.x=1,r.repeat.y=t/e,r.offset.x=0,r.offset.y=(1-r.repeat.y)/2),r}function HD(r){return r.repeat.x=1,r.repeat.y=1,r.offset.x=0,r.offset.y=0,r}function tb(r,e,t,n){const s=GD(n);switch(t){case Eb:return r*e;case by:return r*e/s.components*s.byteLength;case wm:return r*e/s.components*s.byteLength;case tf:return r*e*2/s.components*s.byteLength;case Sy:return r*e*2/s.components*s.byteLength;case Tb:return r*e*3/s.components*s.byteLength;case Oa:return r*e*4/s.components*s.byteLength;case My:return r*e*4/s.components*s.byteLength;case $p:case em:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*8;case tm:case nm:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case wv:case Rv:return Math.max(r,16)*Math.max(e,8)/4;case Av:case Cv:return Math.max(r,8)*Math.max(e,8)/2;case Nv:case Dv:case Uv:case Iv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*8;case Lv:case Ov:case Pv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case zv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case Bv:return Math.floor((r+4)/5)*Math.floor((e+3)/4)*16;case Fv:return Math.floor((r+4)/5)*Math.floor((e+4)/5)*16;case kv:return Math.floor((r+5)/6)*Math.floor((e+4)/5)*16;case Vv:return Math.floor((r+5)/6)*Math.floor((e+5)/6)*16;case Hv:return Math.floor((r+7)/8)*Math.floor((e+4)/5)*16;case Gv:return Math.floor((r+7)/8)*Math.floor((e+5)/6)*16;case Xv:return Math.floor((r+7)/8)*Math.floor((e+7)/8)*16;case Wv:return Math.floor((r+9)/10)*Math.floor((e+4)/5)*16;case qv:return Math.floor((r+9)/10)*Math.floor((e+5)/6)*16;case jv:return Math.floor((r+9)/10)*Math.floor((e+7)/8)*16;case Yv:return Math.floor((r+9)/10)*Math.floor((e+9)/10)*16;case Zv:return Math.floor((r+11)/12)*Math.floor((e+9)/10)*16;case Qv:return Math.floor((r+11)/12)*Math.floor((e+11)/12)*16;case Kv:case Jv:case $v:return Math.ceil(r/4)*Math.ceil(e/4)*16;case ey:case ty:return Math.ceil(r/4)*Math.ceil(e/4)*8;case ny:case iy:return Math.ceil(r/4)*Math.ceil(e/4)*16}throw new Error(`Unable to determine texture byte length for ${t} format.`)}function GD(r){switch(r){case ts:case xb:return{byteLength:1,components:1};case qh:case bb:case Bo:return{byteLength:2,components:1};case _y:case xy:return{byteLength:2,components:4};case vr:case yy:case is:return{byteLength:4,components:1};case Sb:case Mb:return{byteLength:4,components:3}}throw new Error(`Unknown texture type ${r}.`)}class XD{static contain(e,t){return kD(e,t)}static cover(e,t){return VD(e,t)}static fill(e){return HD(e)}static getByteLength(e,t,n,s){return tb(e,t,n,s)}}typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register",{detail:{revision:my}}));typeof window<"u"&&(window.__THREE__?ft("WARNING: Multiple instances of Three.js being imported."):window.__THREE__=my);function VT(){let r=null,e=!1,t=null,n=null;function s(u,f){t(u,f),n=r.requestAnimationFrame(s)}return{start:function(){e!==!0&&t!==null&&(n=r.requestAnimationFrame(s),e=!0)},stop:function(){r.cancelAnimationFrame(n),e=!1},setAnimationLoop:function(u){t=u},setContext:function(u){r=u}}}function WD(r){const e=new WeakMap;function t(h,m){const g=h.array,_=h.usage,x=g.byteLength,b=r.createBuffer();r.bindBuffer(m,b),r.bufferData(m,g,_),h.onUploadCallback();let M;if(g instanceof Float32Array)M=r.FLOAT;else if(typeof Float16Array<"u"&&g instanceof Float16Array)M=r.HALF_FLOAT;else if(g instanceof Uint16Array)h.isFloat16BufferAttribute?M=r.HALF_FLOAT:M=r.UNSIGNED_SHORT;else if(g instanceof Int16Array)M=r.SHORT;else if(g instanceof Uint32Array)M=r.UNSIGNED_INT;else if(g instanceof Int32Array)M=r.INT;else if(g instanceof Int8Array)M=r.BYTE;else if(g instanceof Uint8Array)M=r.UNSIGNED_BYTE;else if(g instanceof Uint8ClampedArray)M=r.UNSIGNED_BYTE;else throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: "+g);return{buffer:b,type:M,bytesPerElement:g.BYTES_PER_ELEMENT,version:h.version,size:x}}function n(h,m,g){const _=m.array,x=m.updateRanges;if(r.bindBuffer(g,h),x.length===0)r.bufferSubData(g,0,_);else{x.sort((M,A)=>M.start-A.start);let b=0;for(let M=1;M 0 + vec4 plane; + #ifdef ALPHA_TO_COVERAGE + float distanceToPlane, distanceGradient; + float clipOpacity = 1.0; + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w; + distanceGradient = fwidth( distanceToPlane ) / 2.0; + clipOpacity *= smoothstep( - distanceGradient, distanceGradient, distanceToPlane ); + if ( clipOpacity == 0.0 ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + float unionClipOpacity = 1.0; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w; + distanceGradient = fwidth( distanceToPlane ) / 2.0; + unionClipOpacity *= 1.0 - smoothstep( - distanceGradient, distanceGradient, distanceToPlane ); + } + #pragma unroll_loop_end + clipOpacity *= 1.0 - unionClipOpacity; + #endif + diffuseColor.a *= clipOpacity; + if ( diffuseColor.a == 0.0 ) discard; + #else + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + bool clipped = true; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped; + } + #pragma unroll_loop_end + if ( clipped ) discard; + #endif + #endif +#endif`,lL=`#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; + uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ]; +#endif`,uL=`#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; +#endif`,cL=`#if NUM_CLIPPING_PLANES > 0 + vClipPosition = - mvPosition.xyz; +#endif`,fL=`#if defined( USE_COLOR_ALPHA ) + diffuseColor *= vColor; +#elif defined( USE_COLOR ) + diffuseColor.rgb *= vColor; +#endif`,hL=`#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) + varying vec3 vColor; +#endif`,dL=`#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR ) + varying vec3 vColor; +#endif`,pL=`#if defined( USE_COLOR_ALPHA ) + vColor = vec4( 1.0 ); +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR ) + vColor = vec3( 1.0 ); +#endif +#ifdef USE_COLOR + vColor *= color; +#endif +#ifdef USE_INSTANCING_COLOR + vColor.xyz *= instanceColor.xyz; +#endif +#ifdef USE_BATCHING_COLOR + vec3 batchingColor = getBatchingColor( getIndirectIndex( gl_DrawID ) ); + vColor.xyz *= batchingColor.xyz; +#endif`,mL=`#define PI 3.141592653589793 +#define PI2 6.283185307179586 +#define PI_HALF 1.5707963267948966 +#define RECIPROCAL_PI 0.3183098861837907 +#define RECIPROCAL_PI2 0.15915494309189535 +#define EPSILON 1e-6 +#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +#define whiteComplement( a ) ( 1.0 - saturate( a ) ) +float pow2( const in float x ) { return x*x; } +vec3 pow2( const in vec3 x ) { return x*x; } +float pow3( const in float x ) { return x*x*x; } +float pow4( const in float x ) { float x2 = x*x; return x2*x2; } +float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); } +float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); } +highp float rand( const in vec2 uv ) { + const highp float a = 12.9898, b = 78.233, c = 43758.5453; + highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI ); + return fract( sin( sn ) * c ); +} +#ifdef HIGH_PRECISION + float precisionSafeLength( vec3 v ) { return length( v ); } +#else + float precisionSafeLength( vec3 v ) { + float maxComponent = max3( abs( v ) ); + return length( v / maxComponent ) * maxComponent; + } +#endif +struct IncidentLight { + vec3 color; + vec3 direction; + bool visible; +}; +struct ReflectedLight { + vec3 directDiffuse; + vec3 directSpecular; + vec3 indirectDiffuse; + vec3 indirectSpecular; +}; +#ifdef USE_ALPHAHASH + varying vec3 vPosition; +#endif +vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); +} +vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz ); +} +bool isPerspectiveMatrix( mat4 m ) { + return m[ 2 ][ 3 ] == - 1.0; +} +vec2 equirectUv( in vec3 dir ) { + float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5; + float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5; + return vec2( u, v ); +} +vec3 BRDF_Lambert( const in vec3 diffuseColor ) { + return RECIPROCAL_PI * diffuseColor; +} +vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} +float F_Schlick( const in float f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} // validated`,gL=`#ifdef ENVMAP_TYPE_CUBE_UV + #define cubeUV_minMipLevel 4.0 + #define cubeUV_minTileSize 16.0 + float getFace( vec3 direction ) { + vec3 absDirection = abs( direction ); + float face = - 1.0; + if ( absDirection.x > absDirection.z ) { + if ( absDirection.x > absDirection.y ) + face = direction.x > 0.0 ? 0.0 : 3.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } else { + if ( absDirection.z > absDirection.y ) + face = direction.z > 0.0 ? 2.0 : 5.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } + return face; + } + vec2 getUV( vec3 direction, float face ) { + vec2 uv; + if ( face == 0.0 ) { + uv = vec2( direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 1.0 ) { + uv = vec2( - direction.x, - direction.z ) / abs( direction.y ); + } else if ( face == 2.0 ) { + uv = vec2( - direction.x, direction.y ) / abs( direction.z ); + } else if ( face == 3.0 ) { + uv = vec2( - direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 4.0 ) { + uv = vec2( - direction.x, direction.z ) / abs( direction.y ); + } else { + uv = vec2( direction.x, direction.y ) / abs( direction.z ); + } + return 0.5 * ( uv + 1.0 ); + } + vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) { + float face = getFace( direction ); + float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 ); + mipInt = max( mipInt, cubeUV_minMipLevel ); + float faceSize = exp2( mipInt ); + highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0; + if ( face > 2.0 ) { + uv.y += faceSize; + face -= 3.0; + } + uv.x += face * faceSize; + uv.x += filterInt * 3.0 * cubeUV_minTileSize; + uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize ); + uv.x *= CUBEUV_TEXEL_WIDTH; + uv.y *= CUBEUV_TEXEL_HEIGHT; + #ifdef texture2DGradEXT + return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb; + #else + return texture2D( envMap, uv ).rgb; + #endif + } + #define cubeUV_r0 1.0 + #define cubeUV_m0 - 2.0 + #define cubeUV_r1 0.8 + #define cubeUV_m1 - 1.0 + #define cubeUV_r4 0.4 + #define cubeUV_m4 2.0 + #define cubeUV_r5 0.305 + #define cubeUV_m5 3.0 + #define cubeUV_r6 0.21 + #define cubeUV_m6 4.0 + float roughnessToMip( float roughness ) { + float mip = 0.0; + if ( roughness >= cubeUV_r1 ) { + mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0; + } else if ( roughness >= cubeUV_r4 ) { + mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1; + } else if ( roughness >= cubeUV_r5 ) { + mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4; + } else if ( roughness >= cubeUV_r6 ) { + mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5; + } else { + mip = - 2.0 * log2( 1.16 * roughness ); } + return mip; + } + vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) { + float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP ); + float mipF = fract( mip ); + float mipInt = floor( mip ); + vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt ); + if ( mipF == 0.0 ) { + return vec4( color0, 1.0 ); + } else { + vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 ); + return vec4( mix( color0, color1, mipF ), 1.0 ); + } + } +#endif`,vL=`vec3 transformedNormal = objectNormal; +#ifdef USE_TANGENT + vec3 transformedTangent = objectTangent; +#endif +#ifdef USE_BATCHING + mat3 bm = mat3( batchingMatrix ); + transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) ); + transformedNormal = bm * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = bm * transformedTangent; + #endif +#endif +#ifdef USE_INSTANCING + mat3 im = mat3( instanceMatrix ); + transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) ); + transformedNormal = im * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = im * transformedTangent; + #endif +#endif +transformedNormal = normalMatrix * transformedNormal; +#ifdef FLIP_SIDED + transformedNormal = - transformedNormal; +#endif +#ifdef USE_TANGENT + transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz; + #ifdef FLIP_SIDED + transformedTangent = - transformedTangent; + #endif +#endif`,yL=`#ifdef USE_DISPLACEMENTMAP + uniform sampler2D displacementMap; + uniform float displacementScale; + uniform float displacementBias; +#endif`,_L=`#ifdef USE_DISPLACEMENTMAP + transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias ); +#endif`,xL=`#ifdef USE_EMISSIVEMAP + vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv ); + #ifdef DECODE_VIDEO_TEXTURE_EMISSIVE + emissiveColor = sRGBTransferEOTF( emissiveColor ); + #endif + totalEmissiveRadiance *= emissiveColor.rgb; +#endif`,bL=`#ifdef USE_EMISSIVEMAP + uniform sampler2D emissiveMap; +#endif`,SL="gl_FragColor = linearToOutputTexel( gl_FragColor );",ML=`vec4 LinearTransferOETF( in vec4 value ) { + return value; +} +vec4 sRGBTransferEOTF( in vec4 value ) { + return vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a ); +} +vec4 sRGBTransferOETF( in vec4 value ) { + return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a ); +}`,EL=`#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vec3 cameraToFrag; + if ( isOrthographic ) { + cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToFrag = normalize( vWorldPosition - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vec3 reflectVec = reflect( cameraToFrag, worldNormal ); + #else + vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio ); + #endif + #else + vec3 reflectVec = vReflect; + #endif + #ifdef ENVMAP_TYPE_CUBE + vec4 envColor = textureCube( envMap, envMapRotation * vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) ); + #else + vec4 envColor = vec4( 0.0 ); + #endif + #ifdef ENVMAP_BLENDING_MULTIPLY + outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_MIX ) + outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_ADD ) + outgoingLight += envColor.xyz * specularStrength * reflectivity; + #endif +#endif`,TL=`#ifdef USE_ENVMAP + uniform float envMapIntensity; + uniform float flipEnvMap; + uniform mat3 envMapRotation; + #ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; + #else + uniform sampler2D envMap; + #endif +#endif`,AL=`#ifdef USE_ENVMAP + uniform float reflectivity; + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + varying vec3 vWorldPosition; + uniform float refractionRatio; + #else + varying vec3 vReflect; + #endif +#endif`,wL=`#ifdef USE_ENVMAP + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + + varying vec3 vWorldPosition; + #else + varying vec3 vReflect; + uniform float refractionRatio; + #endif +#endif`,CL=`#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vWorldPosition = worldPosition.xyz; + #else + vec3 cameraToVertex; + if ( isOrthographic ) { + cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToVertex = normalize( worldPosition.xyz - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vReflect = reflect( cameraToVertex, worldNormal ); + #else + vReflect = refract( cameraToVertex, worldNormal, refractionRatio ); + #endif + #endif +#endif`,RL=`#ifdef USE_FOG + vFogDepth = - mvPosition.z; +#endif`,NL=`#ifdef USE_FOG + varying float vFogDepth; +#endif`,DL=`#ifdef USE_FOG + #ifdef FOG_EXP2 + float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth ); + #else + float fogFactor = smoothstep( fogNear, fogFar, vFogDepth ); + #endif + gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor ); +#endif`,LL=`#ifdef USE_FOG + uniform vec3 fogColor; + varying float vFogDepth; + #ifdef FOG_EXP2 + uniform float fogDensity; + #else + uniform float fogNear; + uniform float fogFar; + #endif +#endif`,UL=`#ifdef USE_GRADIENTMAP + uniform sampler2D gradientMap; +#endif +vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) { + float dotNL = dot( normal, lightDirection ); + vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 ); + #ifdef USE_GRADIENTMAP + return vec3( texture2D( gradientMap, coord ).r ); + #else + vec2 fw = fwidth( coord ) * 0.5; + return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) ); + #endif +}`,IL=`#ifdef USE_LIGHTMAP + uniform sampler2D lightMap; + uniform float lightMapIntensity; +#endif`,OL=`LambertMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularStrength = specularStrength;`,PL=`varying vec3 vViewPosition; +struct LambertMaterial { + vec3 diffuseColor; + float specularStrength; +}; +void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Lambert +#define RE_IndirectDiffuse RE_IndirectDiffuse_Lambert`,zL=`uniform bool receiveShadow; +uniform vec3 ambientLightColor; +#if defined( USE_LIGHT_PROBES ) + uniform vec3 lightProbe[ 9 ]; +#endif +vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) { + float x = normal.x, y = normal.y, z = normal.z; + vec3 result = shCoefficients[ 0 ] * 0.886227; + result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y; + result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z; + result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x; + result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y; + result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z; + result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 ); + result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z; + result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y ); + return result; +} +vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) { + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe ); + return irradiance; +} +vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) { + vec3 irradiance = ambientLightColor; + return irradiance; +} +float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) { + float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 ); + if ( cutoffDistance > 0.0 ) { + distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) ); + } + return distanceFalloff; +} +float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) { + return smoothstep( coneCosine, penumbraCosine, angleCosine ); +} +#if NUM_DIR_LIGHTS > 0 + struct DirectionalLight { + vec3 direction; + vec3 color; + }; + uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ]; + void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) { + light.color = directionalLight.color; + light.direction = directionalLight.direction; + light.visible = true; + } +#endif +#if NUM_POINT_LIGHTS > 0 + struct PointLight { + vec3 position; + vec3 color; + float distance; + float decay; + }; + uniform PointLight pointLights[ NUM_POINT_LIGHTS ]; + void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = pointLight.position - geometryPosition; + light.direction = normalize( lVector ); + float lightDistance = length( lVector ); + light.color = pointLight.color; + light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } +#endif +#if NUM_SPOT_LIGHTS > 0 + struct SpotLight { + vec3 position; + vec3 direction; + vec3 color; + float distance; + float decay; + float coneCos; + float penumbraCos; + }; + uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ]; + void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = spotLight.position - geometryPosition; + light.direction = normalize( lVector ); + float angleCos = dot( light.direction, spotLight.direction ); + float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos ); + if ( spotAttenuation > 0.0 ) { + float lightDistance = length( lVector ); + light.color = spotLight.color * spotAttenuation; + light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } else { + light.color = vec3( 0.0 ); + light.visible = false; + } + } +#endif +#if NUM_RECT_AREA_LIGHTS > 0 + struct RectAreaLight { + vec3 color; + vec3 position; + vec3 halfWidth; + vec3 halfHeight; + }; + uniform sampler2D ltc_1; uniform sampler2D ltc_2; + uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ]; +#endif +#if NUM_HEMI_LIGHTS > 0 + struct HemisphereLight { + vec3 direction; + vec3 skyColor; + vec3 groundColor; + }; + uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ]; + vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) { + float dotNL = dot( normal, hemiLight.direction ); + float hemiDiffuseWeight = 0.5 * dotNL + 0.5; + vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight ); + return irradiance; + } +#endif`,BL=`#ifdef USE_ENVMAP + vec3 getIBLIrradiance( const in vec3 normal ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, envMapRotation * worldNormal, 1.0 ); + return PI * envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 reflectVec = reflect( - viewDir, normal ); + reflectVec = normalize( mix( reflectVec, normal, pow4( roughness ) ) ); + reflectVec = inverseTransformDirection( reflectVec, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, envMapRotation * reflectVec, roughness ); + return envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + #ifdef USE_ANISOTROPY + vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 bentNormal = cross( bitangent, viewDir ); + bentNormal = normalize( cross( bentNormal, bitangent ) ); + bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) ); + return getIBLRadiance( viewDir, bentNormal, roughness ); + #else + return vec3( 0.0 ); + #endif + } + #endif +#endif`,FL=`ToonMaterial material; +material.diffuseColor = diffuseColor.rgb;`,kL=`varying vec3 vViewPosition; +struct ToonMaterial { + vec3 diffuseColor; +}; +void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Toon +#define RE_IndirectDiffuse RE_IndirectDiffuse_Toon`,VL=`BlinnPhongMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularColor = specular; +material.specularShininess = shininess; +material.specularStrength = specularStrength;`,HL=`varying vec3 vViewPosition; +struct BlinnPhongMaterial { + vec3 diffuseColor; + vec3 specularColor; + float specularShininess; + float specularStrength; +}; +void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); + reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength; +} +void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_BlinnPhong +#define RE_IndirectDiffuse RE_IndirectDiffuse_BlinnPhong`,GL=`PhysicalMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.diffuseContribution = diffuseColor.rgb * ( 1.0 - metalnessFactor ); +material.metalness = metalnessFactor; +vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) ); +float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z ); +material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness; +material.roughness = min( material.roughness, 1.0 ); +#ifdef IOR + material.ior = ior; + #ifdef USE_SPECULAR + float specularIntensityFactor = specularIntensity; + vec3 specularColorFactor = specularColor; + #ifdef USE_SPECULAR_COLORMAP + specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a; + #endif + material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor ); + #else + float specularIntensityFactor = 1.0; + vec3 specularColorFactor = vec3( 1.0 ); + material.specularF90 = 1.0; + #endif + material.specularColor = min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor; + material.specularColorBlended = mix( material.specularColor, diffuseColor.rgb, metalnessFactor ); +#else + material.specularColor = vec3( 0.04 ); + material.specularColorBlended = mix( material.specularColor, diffuseColor.rgb, metalnessFactor ); + material.specularF90 = 1.0; +#endif +#ifdef USE_CLEARCOAT + material.clearcoat = clearcoat; + material.clearcoatRoughness = clearcoatRoughness; + material.clearcoatF0 = vec3( 0.04 ); + material.clearcoatF90 = 1.0; + #ifdef USE_CLEARCOATMAP + material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x; + #endif + #ifdef USE_CLEARCOAT_ROUGHNESSMAP + material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y; + #endif + material.clearcoat = saturate( material.clearcoat ); material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 ); + material.clearcoatRoughness += geometryRoughness; + material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 ); +#endif +#ifdef USE_DISPERSION + material.dispersion = dispersion; +#endif +#ifdef USE_IRIDESCENCE + material.iridescence = iridescence; + material.iridescenceIOR = iridescenceIOR; + #ifdef USE_IRIDESCENCEMAP + material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r; + #endif + #ifdef USE_IRIDESCENCE_THICKNESSMAP + material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum; + #else + material.iridescenceThickness = iridescenceThicknessMaximum; + #endif +#endif +#ifdef USE_SHEEN + material.sheenColor = sheenColor; + #ifdef USE_SHEEN_COLORMAP + material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb; + #endif + material.sheenRoughness = clamp( sheenRoughness, 0.0001, 1.0 ); + #ifdef USE_SHEEN_ROUGHNESSMAP + material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a; + #endif +#endif +#ifdef USE_ANISOTROPY + #ifdef USE_ANISOTROPYMAP + mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x ); + vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb; + vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b; + #else + vec2 anisotropyV = anisotropyVector; + #endif + material.anisotropy = length( anisotropyV ); + if( material.anisotropy == 0.0 ) { + anisotropyV = vec2( 1.0, 0.0 ); + } else { + anisotropyV /= material.anisotropy; + material.anisotropy = saturate( material.anisotropy ); + } + material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) ); + material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y; + material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y; +#endif`,XL=`uniform sampler2D dfgLUT; +struct PhysicalMaterial { + vec3 diffuseColor; + vec3 diffuseContribution; + vec3 specularColor; + vec3 specularColorBlended; + float roughness; + float metalness; + float specularF90; + float dispersion; + #ifdef USE_CLEARCOAT + float clearcoat; + float clearcoatRoughness; + vec3 clearcoatF0; + float clearcoatF90; + #endif + #ifdef USE_IRIDESCENCE + float iridescence; + float iridescenceIOR; + float iridescenceThickness; + vec3 iridescenceFresnel; + vec3 iridescenceF0; + vec3 iridescenceFresnelDielectric; + vec3 iridescenceFresnelMetallic; + #endif + #ifdef USE_SHEEN + vec3 sheenColor; + float sheenRoughness; + #endif + #ifdef IOR + float ior; + #endif + #ifdef USE_TRANSMISSION + float transmission; + float transmissionAlpha; + float thickness; + float attenuationDistance; + vec3 attenuationColor; + #endif + #ifdef USE_ANISOTROPY + float anisotropy; + float alphaT; + vec3 anisotropyT; + vec3 anisotropyB; + #endif +}; +vec3 clearcoatSpecularDirect = vec3( 0.0 ); +vec3 clearcoatSpecularIndirect = vec3( 0.0 ); +vec3 sheenSpecularDirect = vec3( 0.0 ); +vec3 sheenSpecularIndirect = vec3(0.0 ); +vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) { + float x = clamp( 1.0 - dotVH, 0.0, 1.0 ); + float x2 = x * x; + float x5 = clamp( x * x2 * x2, 0.0, 0.9999 ); + return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 ); +} +float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) { + float a2 = pow2( alpha ); + float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) ); + float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) ); + return 0.5 / max( gv + gl, EPSILON ); +} +float D_GGX( const in float alpha, const in float dotNH ) { + float a2 = pow2( alpha ); + float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; + return RECIPROCAL_PI * a2 / pow2( denom ); +} +#ifdef USE_ANISOTROPY + float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) { + float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) ); + float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) ); + float v = 0.5 / ( gv + gl ); + return v; + } + float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) { + float a2 = alphaT * alphaB; + highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH ); + highp float v2 = dot( v, v ); + float w2 = a2 / v2; + return RECIPROCAL_PI * a2 * pow2 ( w2 ); + } +#endif +#ifdef USE_CLEARCOAT + vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) { + vec3 f0 = material.clearcoatF0; + float f90 = material.clearcoatF90; + float roughness = material.clearcoatRoughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + return F * ( V * D ); + } +#endif +vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 f0 = material.specularColorBlended; + float f90 = material.specularF90; + float roughness = material.roughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + #ifdef USE_IRIDESCENCE + F = mix( F, material.iridescenceFresnel, material.iridescence ); + #endif + #ifdef USE_ANISOTROPY + float dotTL = dot( material.anisotropyT, lightDir ); + float dotTV = dot( material.anisotropyT, viewDir ); + float dotTH = dot( material.anisotropyT, halfDir ); + float dotBL = dot( material.anisotropyB, lightDir ); + float dotBV = dot( material.anisotropyB, viewDir ); + float dotBH = dot( material.anisotropyB, halfDir ); + float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL ); + float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH ); + #else + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + #endif + return F * ( V * D ); +} +vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) { + const float LUT_SIZE = 64.0; + const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE; + const float LUT_BIAS = 0.5 / LUT_SIZE; + float dotNV = saturate( dot( N, V ) ); + vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) ); + uv = uv * LUT_SCALE + LUT_BIAS; + return uv; +} +float LTC_ClippedSphereFormFactor( const in vec3 f ) { + float l = length( f ); + return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 ); +} +vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) { + float x = dot( v1, v2 ); + float y = abs( x ); + float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y; + float b = 3.4175940 + ( 4.1616724 + y ) * y; + float v = a / b; + float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v; + return cross( v1, v2 ) * theta_sintheta; +} +vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) { + vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ]; + vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ]; + vec3 lightNormal = cross( v1, v2 ); + if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 ); + vec3 T1, T2; + T1 = normalize( V - N * dot( V, N ) ); + T2 = - cross( N, T1 ); + mat3 mat = mInv * transpose( mat3( T1, T2, N ) ); + vec3 coords[ 4 ]; + coords[ 0 ] = mat * ( rectCoords[ 0 ] - P ); + coords[ 1 ] = mat * ( rectCoords[ 1 ] - P ); + coords[ 2 ] = mat * ( rectCoords[ 2 ] - P ); + coords[ 3 ] = mat * ( rectCoords[ 3 ] - P ); + coords[ 0 ] = normalize( coords[ 0 ] ); + coords[ 1 ] = normalize( coords[ 1 ] ); + coords[ 2 ] = normalize( coords[ 2 ] ); + coords[ 3 ] = normalize( coords[ 3 ] ); + vec3 vectorFormFactor = vec3( 0.0 ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] ); + float result = LTC_ClippedSphereFormFactor( vectorFormFactor ); + return vec3( result ); +} +#if defined( USE_SHEEN ) +float D_Charlie( float roughness, float dotNH ) { + float alpha = pow2( roughness ); + float invAlpha = 1.0 / alpha; + float cos2h = dotNH * dotNH; + float sin2h = max( 1.0 - cos2h, 0.0078125 ); + return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI ); +} +float V_Neubelt( float dotNV, float dotNL ) { + return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) ); +} +vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float D = D_Charlie( sheenRoughness, dotNH ); + float V = V_Neubelt( dotNV, dotNL ); + return sheenColor * ( D * V ); +} +#endif +float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + float r2 = roughness * roughness; + float rInv = 1.0 / ( roughness + 0.1 ); + float a = -1.9362 + 1.0678 * roughness + 0.4573 * r2 - 0.8469 * rInv; + float b = -0.6014 + 0.5538 * roughness - 0.4670 * r2 - 0.1255 * rInv; + float DG = exp( a * dotNV + b ); + return saturate( DG ); +} +vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 fab = texture2D( dfgLUT, vec2( roughness, dotNV ) ).rg; + return specularColor * fab.x + specularF90 * fab.y; +} +#ifdef USE_IRIDESCENCE +void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#else +void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#endif + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 fab = texture2D( dfgLUT, vec2( roughness, dotNV ) ).rg; + #ifdef USE_IRIDESCENCE + vec3 Fr = mix( specularColor, iridescenceF0, iridescence ); + #else + vec3 Fr = specularColor; + #endif + vec3 FssEss = Fr * fab.x + specularF90 * fab.y; + float Ess = fab.x + fab.y; + float Ems = 1.0 - Ess; + vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619; vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg ); + singleScatter += FssEss; + multiScatter += Fms * Ems; +} +vec3 BRDF_GGX_Multiscatter( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 singleScatter = BRDF_GGX( lightDir, viewDir, normal, material ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 dfgV = texture2D( dfgLUT, vec2( material.roughness, dotNV ) ).rg; + vec2 dfgL = texture2D( dfgLUT, vec2( material.roughness, dotNL ) ).rg; + vec3 FssEss_V = material.specularColorBlended * dfgV.x + material.specularF90 * dfgV.y; + vec3 FssEss_L = material.specularColorBlended * dfgL.x + material.specularF90 * dfgL.y; + float Ess_V = dfgV.x + dfgV.y; + float Ess_L = dfgL.x + dfgL.y; + float Ems_V = 1.0 - Ess_V; + float Ems_L = 1.0 - Ess_L; + vec3 Favg = material.specularColorBlended + ( 1.0 - material.specularColorBlended ) * 0.047619; + vec3 Fms = FssEss_V * FssEss_L * Favg / ( 1.0 - Ems_V * Ems_L * Favg + EPSILON ); + float compensationFactor = Ems_V * Ems_L; + vec3 multiScatter = Fms * compensationFactor; + return singleScatter + multiScatter; +} +#if NUM_RECT_AREA_LIGHTS > 0 + void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 normal = geometryNormal; + vec3 viewDir = geometryViewDir; + vec3 position = geometryPosition; + vec3 lightPos = rectAreaLight.position; + vec3 halfWidth = rectAreaLight.halfWidth; + vec3 halfHeight = rectAreaLight.halfHeight; + vec3 lightColor = rectAreaLight.color; + float roughness = material.roughness; + vec3 rectCoords[ 4 ]; + rectCoords[ 0 ] = lightPos + halfWidth - halfHeight; rectCoords[ 1 ] = lightPos - halfWidth - halfHeight; + rectCoords[ 2 ] = lightPos - halfWidth + halfHeight; + rectCoords[ 3 ] = lightPos + halfWidth + halfHeight; + vec2 uv = LTC_Uv( normal, viewDir, roughness ); + vec4 t1 = texture2D( ltc_1, uv ); + vec4 t2 = texture2D( ltc_2, uv ); + mat3 mInv = mat3( + vec3( t1.x, 0, t1.y ), + vec3( 0, 1, 0 ), + vec3( t1.z, 0, t1.w ) + ); + vec3 fresnel = ( material.specularColorBlended * t2.x + ( vec3( 1.0 ) - material.specularColorBlended ) * t2.y ); + reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords ); + reflectedLight.directDiffuse += lightColor * material.diffuseContribution * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords ); + } +#endif +void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + #ifdef USE_CLEARCOAT + float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) ); + vec3 ccIrradiance = dotNLcc * directLight.color; + clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material ); + #endif + #ifdef USE_SHEEN + + sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness ); + + float sheenAlbedoV = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenAlbedoL = IBLSheenBRDF( geometryNormal, directLight.direction, material.sheenRoughness ); + + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * max( sheenAlbedoV, sheenAlbedoL ); + + irradiance *= sheenEnergyComp; + + #endif + reflectedLight.directSpecular += irradiance * BRDF_GGX_Multiscatter( directLight.direction, geometryViewDir, geometryNormal, material ); + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseContribution ); +} +void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 diffuse = irradiance * BRDF_Lambert( material.diffuseContribution ); + #ifdef USE_SHEEN + float sheenAlbedo = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * sheenAlbedo; + diffuse *= sheenEnergyComp; + #endif + reflectedLight.indirectDiffuse += diffuse; +} +void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) { + #ifdef USE_CLEARCOAT + clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness ); + #endif + #ifdef USE_SHEEN + sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ) * RECIPROCAL_PI; + #endif + vec3 singleScatteringDielectric = vec3( 0.0 ); + vec3 multiScatteringDielectric = vec3( 0.0 ); + vec3 singleScatteringMetallic = vec3( 0.0 ); + vec3 multiScatteringMetallic = vec3( 0.0 ); + #ifdef USE_IRIDESCENCE + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnelDielectric, material.roughness, singleScatteringDielectric, multiScatteringDielectric ); + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.diffuseColor, material.specularF90, material.iridescence, material.iridescenceFresnelMetallic, material.roughness, singleScatteringMetallic, multiScatteringMetallic ); + #else + computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScatteringDielectric, multiScatteringDielectric ); + computeMultiscattering( geometryNormal, geometryViewDir, material.diffuseColor, material.specularF90, material.roughness, singleScatteringMetallic, multiScatteringMetallic ); + #endif + vec3 singleScattering = mix( singleScatteringDielectric, singleScatteringMetallic, material.metalness ); + vec3 multiScattering = mix( multiScatteringDielectric, multiScatteringMetallic, material.metalness ); + vec3 totalScatteringDielectric = singleScatteringDielectric + multiScatteringDielectric; + vec3 diffuse = material.diffuseContribution * ( 1.0 - totalScatteringDielectric ); + vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI; + vec3 indirectSpecular = radiance * singleScattering; + indirectSpecular += multiScattering * cosineWeightedIrradiance; + vec3 indirectDiffuse = diffuse * cosineWeightedIrradiance; + #ifdef USE_SHEEN + float sheenAlbedo = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * sheenAlbedo; + indirectSpecular *= sheenEnergyComp; + indirectDiffuse *= sheenEnergyComp; + #endif + reflectedLight.indirectSpecular += indirectSpecular; + reflectedLight.indirectDiffuse += indirectDiffuse; +} +#define RE_Direct RE_Direct_Physical +#define RE_Direct_RectArea RE_Direct_RectArea_Physical +#define RE_IndirectDiffuse RE_IndirectDiffuse_Physical +#define RE_IndirectSpecular RE_IndirectSpecular_Physical +float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) { + return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion ); +}`,WL=` +vec3 geometryPosition = - vViewPosition; +vec3 geometryNormal = normal; +vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition ); +vec3 geometryClearcoatNormal = vec3( 0.0 ); +#ifdef USE_CLEARCOAT + geometryClearcoatNormal = clearcoatNormal; +#endif +#ifdef USE_IRIDESCENCE + float dotNVi = saturate( dot( normal, geometryViewDir ) ); + if ( material.iridescenceThickness == 0.0 ) { + material.iridescence = 0.0; + } else { + material.iridescence = saturate( material.iridescence ); + } + if ( material.iridescence > 0.0 ) { + material.iridescenceFresnelDielectric = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor ); + material.iridescenceFresnelMetallic = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.diffuseColor ); + material.iridescenceFresnel = mix( material.iridescenceFresnelDielectric, material.iridescenceFresnelMetallic, material.metalness ); + material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi ); + } +#endif +IncidentLight directLight; +#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct ) + PointLight pointLight; + #if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) { + pointLight = pointLights[ i ]; + getPointLightInfo( pointLight, geometryPosition, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS ) && ( defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_BASIC ) ) + pointLightShadow = pointLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowIntensity, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct ) + SpotLight spotLight; + vec4 spotColor; + vec3 spotLightCoord; + bool inSpotLightMap; + #if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) { + spotLight = spotLights[ i ]; + getSpotLightInfo( spotLight, geometryPosition, directLight ); + #if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX + #elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + #define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS + #else + #define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #endif + #if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS ) + spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w; + inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) ); + spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy ); + directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color; + #endif + #undef SPOT_LIGHT_MAP_INDEX + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + spotLightShadow = spotLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowIntensity, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct ) + DirectionalLight directionalLight; + #if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) { + directionalLight = directionalLights[ i ]; + getDirectionalLightInfo( directionalLight, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS ) + directionalLightShadow = directionalLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowIntensity, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea ) + RectAreaLight rectAreaLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) { + rectAreaLight = rectAreaLights[ i ]; + RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if defined( RE_IndirectDiffuse ) + vec3 iblIrradiance = vec3( 0.0 ); + vec3 irradiance = getAmbientLightIrradiance( ambientLightColor ); + #if defined( USE_LIGHT_PROBES ) + irradiance += getLightProbeIrradiance( lightProbe, geometryNormal ); + #endif + #if ( NUM_HEMI_LIGHTS > 0 ) + #pragma unroll_loop_start + for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) { + irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal ); + } + #pragma unroll_loop_end + #endif +#endif +#if defined( RE_IndirectSpecular ) + vec3 radiance = vec3( 0.0 ); + vec3 clearcoatRadiance = vec3( 0.0 ); +#endif`,qL=`#if defined( RE_IndirectDiffuse ) + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + irradiance += lightMapIrradiance; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV ) + iblIrradiance += getIBLIrradiance( geometryNormal ); + #endif +#endif +#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular ) + #ifdef USE_ANISOTROPY + radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy ); + #else + radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness ); + #endif + #ifdef USE_CLEARCOAT + clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness ); + #endif +#endif`,jL=`#if defined( RE_IndirectDiffuse ) + RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif +#if defined( RE_IndirectSpecular ) + RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif`,YL=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER ) + gl_FragDepth = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5; +#endif`,ZL=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER ) + uniform float logDepthBufFC; + varying float vFragDepth; + varying float vIsPerspective; +#endif`,QL=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER + varying float vFragDepth; + varying float vIsPerspective; +#endif`,KL=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER + vFragDepth = 1.0 + gl_Position.w; + vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) ); +#endif`,JL=`#ifdef USE_MAP + vec4 sampledDiffuseColor = texture2D( map, vMapUv ); + #ifdef DECODE_VIDEO_TEXTURE + sampledDiffuseColor = sRGBTransferEOTF( sampledDiffuseColor ); + #endif + diffuseColor *= sampledDiffuseColor; +#endif`,$L=`#ifdef USE_MAP + uniform sampler2D map; +#endif`,eU=`#if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + #if defined( USE_POINTS_UV ) + vec2 uv = vUv; + #else + vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy; + #endif +#endif +#ifdef USE_MAP + diffuseColor *= texture2D( map, uv ); +#endif +#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, uv ).g; +#endif`,tU=`#if defined( USE_POINTS_UV ) + varying vec2 vUv; +#else + #if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + uniform mat3 uvTransform; + #endif +#endif +#ifdef USE_MAP + uniform sampler2D map; +#endif +#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`,nU=`float metalnessFactor = metalness; +#ifdef USE_METALNESSMAP + vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv ); + metalnessFactor *= texelMetalness.b; +#endif`,iU=`#ifdef USE_METALNESSMAP + uniform sampler2D metalnessMap; +#endif`,aU=`#ifdef USE_INSTANCING_MORPH + float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + float morphTargetBaseInfluence = texelFetch( morphTexture, ivec2( 0, gl_InstanceID ), 0 ).r; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + morphTargetInfluences[i] = texelFetch( morphTexture, ivec2( i + 1, gl_InstanceID ), 0 ).r; + } +#endif`,sU=`#if defined( USE_MORPHCOLORS ) + vColor *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + #if defined( USE_COLOR_ALPHA ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ]; + #elif defined( USE_COLOR ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ]; + #endif + } +#endif`,rU=`#ifdef USE_MORPHNORMALS + objectNormal *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ]; + } +#endif`,oU=`#ifdef USE_MORPHTARGETS + #ifndef USE_INSTANCING_MORPH + uniform float morphTargetBaseInfluence; + uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + #endif + uniform sampler2DArray morphTargetsTexture; + uniform ivec2 morphTargetsTextureSize; + vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) { + int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset; + int y = texelIndex / morphTargetsTextureSize.x; + int x = texelIndex - y * morphTargetsTextureSize.x; + ivec3 morphUV = ivec3( x, y, morphTargetIndex ); + return texelFetch( morphTargetsTexture, morphUV, 0 ); + } +#endif`,lU=`#ifdef USE_MORPHTARGETS + transformed *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ]; + } +#endif`,uU=`float faceDirection = gl_FrontFacing ? 1.0 : - 1.0; +#ifdef FLAT_SHADED + vec3 fdx = dFdx( vViewPosition ); + vec3 fdy = dFdy( vViewPosition ); + vec3 normal = normalize( cross( fdx, fdy ) ); +#else + vec3 normal = normalize( vNormal ); + #ifdef DOUBLE_SIDED + normal *= faceDirection; + #endif +#endif +#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) + #ifdef USE_TANGENT + mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn = getTangentFrame( - vViewPosition, normal, + #if defined( USE_NORMALMAP ) + vNormalMapUv + #elif defined( USE_CLEARCOAT_NORMALMAP ) + vClearcoatNormalMapUv + #else + vUv + #endif + ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn[0] *= faceDirection; + tbn[1] *= faceDirection; + #endif +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + #ifdef USE_TANGENT + mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn2[0] *= faceDirection; + tbn2[1] *= faceDirection; + #endif +#endif +vec3 nonPerturbedNormal = normal;`,cU=`#ifdef USE_NORMALMAP_OBJECTSPACE + normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + #ifdef FLIP_SIDED + normal = - normal; + #endif + #ifdef DOUBLE_SIDED + normal = normal * faceDirection; + #endif + normal = normalize( normalMatrix * normal ); +#elif defined( USE_NORMALMAP_TANGENTSPACE ) + vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + mapN.xy *= normalScale; + normal = normalize( tbn * mapN ); +#elif defined( USE_BUMPMAP ) + normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection ); +#endif`,fU=`#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`,hU=`#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`,dU=`#ifndef FLAT_SHADED + vNormal = normalize( transformedNormal ); + #ifdef USE_TANGENT + vTangent = normalize( transformedTangent ); + vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w ); + #endif +#endif`,pU=`#ifdef USE_NORMALMAP + uniform sampler2D normalMap; + uniform vec2 normalScale; +#endif +#ifdef USE_NORMALMAP_OBJECTSPACE + uniform mat3 normalMatrix; +#endif +#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) ) + mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) { + vec3 q0 = dFdx( eye_pos.xyz ); + vec3 q1 = dFdy( eye_pos.xyz ); + vec2 st0 = dFdx( uv.st ); + vec2 st1 = dFdy( uv.st ); + vec3 N = surf_norm; + vec3 q1perp = cross( q1, N ); + vec3 q0perp = cross( N, q0 ); + vec3 T = q1perp * st0.x + q0perp * st1.x; + vec3 B = q1perp * st0.y + q0perp * st1.y; + float det = max( dot( T, T ), dot( B, B ) ); + float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det ); + return mat3( T * scale, B * scale, N ); + } +#endif`,mU=`#ifdef USE_CLEARCOAT + vec3 clearcoatNormal = nonPerturbedNormal; +#endif`,gU=`#ifdef USE_CLEARCOAT_NORMALMAP + vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0; + clearcoatMapN.xy *= clearcoatNormalScale; + clearcoatNormal = normalize( tbn2 * clearcoatMapN ); +#endif`,vU=`#ifdef USE_CLEARCOATMAP + uniform sampler2D clearcoatMap; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform sampler2D clearcoatNormalMap; + uniform vec2 clearcoatNormalScale; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform sampler2D clearcoatRoughnessMap; +#endif`,yU=`#ifdef USE_IRIDESCENCEMAP + uniform sampler2D iridescenceMap; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform sampler2D iridescenceThicknessMap; +#endif`,_U=`#ifdef OPAQUE +diffuseColor.a = 1.0; +#endif +#ifdef USE_TRANSMISSION +diffuseColor.a *= material.transmissionAlpha; +#endif +gl_FragColor = vec4( outgoingLight, diffuseColor.a );`,xU=`vec3 packNormalToRGB( const in vec3 normal ) { + return normalize( normal ) * 0.5 + 0.5; +} +vec3 unpackRGBToNormal( const in vec3 rgb ) { + return 2.0 * rgb.xyz - 1.0; +} +const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;const float ShiftRight8 = 1. / 256.; +const float Inv255 = 1. / 255.; +const vec4 PackFactors = vec4( 1.0, 256.0, 256.0 * 256.0, 256.0 * 256.0 * 256.0 ); +const vec2 UnpackFactors2 = vec2( UnpackDownscale, 1.0 / PackFactors.g ); +const vec3 UnpackFactors3 = vec3( UnpackDownscale / PackFactors.rg, 1.0 / PackFactors.b ); +const vec4 UnpackFactors4 = vec4( UnpackDownscale / PackFactors.rgb, 1.0 / PackFactors.a ); +vec4 packDepthToRGBA( const in float v ) { + if( v <= 0.0 ) + return vec4( 0., 0., 0., 0. ); + if( v >= 1.0 ) + return vec4( 1., 1., 1., 1. ); + float vuf; + float af = modf( v * PackFactors.a, vuf ); + float bf = modf( vuf * ShiftRight8, vuf ); + float gf = modf( vuf * ShiftRight8, vuf ); + return vec4( vuf * Inv255, gf * PackUpscale, bf * PackUpscale, af ); +} +vec3 packDepthToRGB( const in float v ) { + if( v <= 0.0 ) + return vec3( 0., 0., 0. ); + if( v >= 1.0 ) + return vec3( 1., 1., 1. ); + float vuf; + float bf = modf( v * PackFactors.b, vuf ); + float gf = modf( vuf * ShiftRight8, vuf ); + return vec3( vuf * Inv255, gf * PackUpscale, bf ); +} +vec2 packDepthToRG( const in float v ) { + if( v <= 0.0 ) + return vec2( 0., 0. ); + if( v >= 1.0 ) + return vec2( 1., 1. ); + float vuf; + float gf = modf( v * 256., vuf ); + return vec2( vuf * Inv255, gf ); +} +float unpackRGBAToDepth( const in vec4 v ) { + return dot( v, UnpackFactors4 ); +} +float unpackRGBToDepth( const in vec3 v ) { + return dot( v, UnpackFactors3 ); +} +float unpackRGToDepth( const in vec2 v ) { + return v.r * UnpackFactors2.r + v.g * UnpackFactors2.g; +} +vec4 pack2HalfToRGBA( const in vec2 v ) { + vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) ); + return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w ); +} +vec2 unpackRGBATo2Half( const in vec4 v ) { + return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) ); +} +float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) { + return ( viewZ + near ) / ( near - far ); +} +float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) { + return depth * ( near - far ) - near; +} +float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) { + return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ ); +} +float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) { + return ( near * far ) / ( ( far - near ) * depth - far ); +}`,bU=`#ifdef PREMULTIPLIED_ALPHA + gl_FragColor.rgb *= gl_FragColor.a; +#endif`,SU=`vec4 mvPosition = vec4( transformed, 1.0 ); +#ifdef USE_BATCHING + mvPosition = batchingMatrix * mvPosition; +#endif +#ifdef USE_INSTANCING + mvPosition = instanceMatrix * mvPosition; +#endif +mvPosition = modelViewMatrix * mvPosition; +gl_Position = projectionMatrix * mvPosition;`,MU=`#ifdef DITHERING + gl_FragColor.rgb = dithering( gl_FragColor.rgb ); +#endif`,EU=`#ifdef DITHERING + vec3 dithering( vec3 color ) { + float grid_position = rand( gl_FragCoord.xy ); + vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 ); + dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position ); + return color + dither_shift_RGB; + } +#endif`,TU=`float roughnessFactor = roughness; +#ifdef USE_ROUGHNESSMAP + vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv ); + roughnessFactor *= texelRoughness.g; +#endif`,AU=`#ifdef USE_ROUGHNESSMAP + uniform sampler2D roughnessMap; +#endif`,wU=`#if NUM_SPOT_LIGHT_COORDS > 0 + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#if NUM_SPOT_LIGHT_MAPS > 0 + uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform sampler2DShadow directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + #else + uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform sampler2DShadow spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + #else + uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + struct SpotLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform samplerCubeShadow pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + #elif defined( SHADOWMAP_TYPE_BASIC ) + uniform samplerCube pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + #if defined( SHADOWMAP_TYPE_PCF ) + float interleavedGradientNoise( vec2 position ) { + return fract( 52.9829189 * fract( dot( position, vec2( 0.06711056, 0.00583715 ) ) ) ); + } + vec2 vogelDiskSample( int sampleIndex, int samplesCount, float phi ) { + const float goldenAngle = 2.399963229728653; + float r = sqrt( ( float( sampleIndex ) + 0.5 ) / float( samplesCount ) ); + float theta = float( sampleIndex ) * goldenAngle + phi; + return vec2( cos( theta ), sin( theta ) ) * r; + } + #endif + #if defined( SHADOWMAP_TYPE_PCF ) + float getShadow( sampler2DShadow shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float radius = shadowRadius * texelSize.x; + float phi = interleavedGradientNoise( gl_FragCoord.xy ) * 6.28318530718; + shadow = ( + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 0, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 1, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 2, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 3, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 4, 5, phi ) * radius, shadowCoord.z ) ) + ) * 0.2; + } + return mix( 1.0, shadow, shadowIntensity ); + } + #elif defined( SHADOWMAP_TYPE_VSM ) + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + vec2 distribution = texture2D( shadowMap, shadowCoord.xy ).rg; + float mean = distribution.x; + float variance = distribution.y * distribution.y; + #ifdef USE_REVERSED_DEPTH_BUFFER + float hard_shadow = step( mean, shadowCoord.z ); + #else + float hard_shadow = step( shadowCoord.z, mean ); + #endif + if ( hard_shadow == 1.0 ) { + shadow = 1.0; + } else { + variance = max( variance, 0.0000001 ); + float d = shadowCoord.z - mean; + float p_max = variance / ( variance + d * d ); + p_max = clamp( ( p_max - 0.3 ) / 0.65, 0.0, 1.0 ); + shadow = max( hard_shadow, p_max ); + } + } + return mix( 1.0, shadow, shadowIntensity ); + } + #else + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + float depth = texture2D( shadowMap, shadowCoord.xy ).r; + #ifdef USE_REVERSED_DEPTH_BUFFER + shadow = step( depth, shadowCoord.z ); + #else + shadow = step( shadowCoord.z, depth ); + #endif + } + return mix( 1.0, shadow, shadowIntensity ); + } + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + float getPointShadow( samplerCubeShadow shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + float shadow = 1.0; + vec3 lightToPosition = shadowCoord.xyz; + vec3 bd3D = normalize( lightToPosition ); + vec3 absVec = abs( lightToPosition ); + float viewSpaceZ = max( max( absVec.x, absVec.y ), absVec.z ); + if ( viewSpaceZ - shadowCameraFar <= 0.0 && viewSpaceZ - shadowCameraNear >= 0.0 ) { + float dp = ( shadowCameraFar * ( viewSpaceZ - shadowCameraNear ) ) / ( viewSpaceZ * ( shadowCameraFar - shadowCameraNear ) ); + dp += shadowBias; + float texelSize = shadowRadius / shadowMapSize.x; + vec3 absDir = abs( bd3D ); + vec3 tangent = absDir.x > absDir.z ? vec3( 0.0, 1.0, 0.0 ) : vec3( 1.0, 0.0, 0.0 ); + tangent = normalize( cross( bd3D, tangent ) ); + vec3 bitangent = cross( bd3D, tangent ); + float phi = interleavedGradientNoise( gl_FragCoord.xy ) * 6.28318530718; + shadow = ( + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 0, 5, phi ).x + bitangent * vogelDiskSample( 0, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 1, 5, phi ).x + bitangent * vogelDiskSample( 1, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 2, 5, phi ).x + bitangent * vogelDiskSample( 2, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 3, 5, phi ).x + bitangent * vogelDiskSample( 3, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 4, 5, phi ).x + bitangent * vogelDiskSample( 4, 5, phi ).y ) * texelSize, dp ) ) + ) * 0.2; + } + return mix( 1.0, shadow, shadowIntensity ); + } + #elif defined( SHADOWMAP_TYPE_BASIC ) + float getPointShadow( samplerCube shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + float shadow = 1.0; + vec3 lightToPosition = shadowCoord.xyz; + vec3 bd3D = normalize( lightToPosition ); + vec3 absVec = abs( lightToPosition ); + float viewSpaceZ = max( max( absVec.x, absVec.y ), absVec.z ); + if ( viewSpaceZ - shadowCameraFar <= 0.0 && viewSpaceZ - shadowCameraNear >= 0.0 ) { + float dp = ( shadowCameraFar * ( viewSpaceZ - shadowCameraNear ) ) / ( viewSpaceZ * ( shadowCameraFar - shadowCameraNear ) ); + dp += shadowBias; + float depth = textureCube( shadowMap, bd3D ).r; + #ifdef USE_REVERSED_DEPTH_BUFFER + shadow = step( depth, dp ); + #else + shadow = step( dp, depth ); + #endif + } + return mix( 1.0, shadow, shadowIntensity ); + } + #endif + #endif +#endif`,CU=`#if NUM_SPOT_LIGHT_COORDS > 0 + uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ]; + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + struct SpotLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif +#endif`,RU=`#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 ) + vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + vec4 shadowWorldPosition; +#endif +#if defined( USE_SHADOWMAP ) + #if NUM_DIR_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 ); + vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 ); + vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif +#endif +#if NUM_SPOT_LIGHT_COORDS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) { + shadowWorldPosition = worldPosition; + #if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias; + #endif + vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end +#endif`,NU=`float getShadowMask() { + float shadow = 1.0; + #ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + directionalLight = directionalLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowIntensity, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) { + spotLight = spotLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowIntensity, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 && ( defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_BASIC ) ) + PointLightShadow pointLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + pointLight = pointLightShadows[ i ]; + shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowIntensity, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0; + } + #pragma unroll_loop_end + #endif + #endif + return shadow; +}`,DU=`#ifdef USE_SKINNING + mat4 boneMatX = getBoneMatrix( skinIndex.x ); + mat4 boneMatY = getBoneMatrix( skinIndex.y ); + mat4 boneMatZ = getBoneMatrix( skinIndex.z ); + mat4 boneMatW = getBoneMatrix( skinIndex.w ); +#endif`,LU=`#ifdef USE_SKINNING + uniform mat4 bindMatrix; + uniform mat4 bindMatrixInverse; + uniform highp sampler2D boneTexture; + mat4 getBoneMatrix( const in float i ) { + int size = textureSize( boneTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`,UU=`#ifdef USE_SKINNING + vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 ); + vec4 skinned = vec4( 0.0 ); + skinned += boneMatX * skinVertex * skinWeight.x; + skinned += boneMatY * skinVertex * skinWeight.y; + skinned += boneMatZ * skinVertex * skinWeight.z; + skinned += boneMatW * skinVertex * skinWeight.w; + transformed = ( bindMatrixInverse * skinned ).xyz; +#endif`,IU=`#ifdef USE_SKINNING + mat4 skinMatrix = mat4( 0.0 ); + skinMatrix += skinWeight.x * boneMatX; + skinMatrix += skinWeight.y * boneMatY; + skinMatrix += skinWeight.z * boneMatZ; + skinMatrix += skinWeight.w * boneMatW; + skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix; + objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz; + #ifdef USE_TANGENT + objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz; + #endif +#endif`,OU=`float specularStrength; +#ifdef USE_SPECULARMAP + vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv ); + specularStrength = texelSpecular.r; +#else + specularStrength = 1.0; +#endif`,PU=`#ifdef USE_SPECULARMAP + uniform sampler2D specularMap; +#endif`,zU=`#if defined( TONE_MAPPING ) + gl_FragColor.rgb = toneMapping( gl_FragColor.rgb ); +#endif`,BU=`#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +uniform float toneMappingExposure; +vec3 LinearToneMapping( vec3 color ) { + return saturate( toneMappingExposure * color ); +} +vec3 ReinhardToneMapping( vec3 color ) { + color *= toneMappingExposure; + return saturate( color / ( vec3( 1.0 ) + color ) ); +} +vec3 CineonToneMapping( vec3 color ) { + color *= toneMappingExposure; + color = max( vec3( 0.0 ), color - 0.004 ); + return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) ); +} +vec3 RRTAndODTFit( vec3 v ) { + vec3 a = v * ( v + 0.0245786 ) - 0.000090537; + vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081; + return a / b; +} +vec3 ACESFilmicToneMapping( vec3 color ) { + const mat3 ACESInputMat = mat3( + vec3( 0.59719, 0.07600, 0.02840 ), vec3( 0.35458, 0.90834, 0.13383 ), + vec3( 0.04823, 0.01566, 0.83777 ) + ); + const mat3 ACESOutputMat = mat3( + vec3( 1.60475, -0.10208, -0.00327 ), vec3( -0.53108, 1.10813, -0.07276 ), + vec3( -0.07367, -0.00605, 1.07602 ) + ); + color *= toneMappingExposure / 0.6; + color = ACESInputMat * color; + color = RRTAndODTFit( color ); + color = ACESOutputMat * color; + return saturate( color ); +} +const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3( + vec3( 1.6605, - 0.1246, - 0.0182 ), + vec3( - 0.5876, 1.1329, - 0.1006 ), + vec3( - 0.0728, - 0.0083, 1.1187 ) +); +const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3( + vec3( 0.6274, 0.0691, 0.0164 ), + vec3( 0.3293, 0.9195, 0.0880 ), + vec3( 0.0433, 0.0113, 0.8956 ) +); +vec3 agxDefaultContrastApprox( vec3 x ) { + vec3 x2 = x * x; + vec3 x4 = x2 * x2; + return + 15.5 * x4 * x2 + - 40.14 * x4 * x + + 31.96 * x4 + - 6.868 * x2 * x + + 0.4298 * x2 + + 0.1191 * x + - 0.00232; +} +vec3 AgXToneMapping( vec3 color ) { + const mat3 AgXInsetMatrix = mat3( + vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ), + vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ), + vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 ) + ); + const mat3 AgXOutsetMatrix = mat3( + vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ), + vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ), + vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 ) + ); + const float AgxMinEv = - 12.47393; const float AgxMaxEv = 4.026069; + color *= toneMappingExposure; + color = LINEAR_SRGB_TO_LINEAR_REC2020 * color; + color = AgXInsetMatrix * color; + color = max( color, 1e-10 ); color = log2( color ); + color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv ); + color = clamp( color, 0.0, 1.0 ); + color = agxDefaultContrastApprox( color ); + color = AgXOutsetMatrix * color; + color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) ); + color = LINEAR_REC2020_TO_LINEAR_SRGB * color; + color = clamp( color, 0.0, 1.0 ); + return color; +} +vec3 NeutralToneMapping( vec3 color ) { + const float StartCompression = 0.8 - 0.04; + const float Desaturation = 0.15; + color *= toneMappingExposure; + float x = min( color.r, min( color.g, color.b ) ); + float offset = x < 0.08 ? x - 6.25 * x * x : 0.04; + color -= offset; + float peak = max( color.r, max( color.g, color.b ) ); + if ( peak < StartCompression ) return color; + float d = 1. - StartCompression; + float newPeak = 1. - d * d / ( peak + d - StartCompression ); + color *= newPeak / peak; + float g = 1. - 1. / ( Desaturation * ( peak - newPeak ) + 1. ); + return mix( color, vec3( newPeak ), g ); +} +vec3 CustomToneMapping( vec3 color ) { return color; }`,FU=`#ifdef USE_TRANSMISSION + material.transmission = transmission; + material.transmissionAlpha = 1.0; + material.thickness = thickness; + material.attenuationDistance = attenuationDistance; + material.attenuationColor = attenuationColor; + #ifdef USE_TRANSMISSIONMAP + material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + #endif + #ifdef USE_THICKNESSMAP + material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + #endif + vec3 pos = vWorldPosition; + vec3 v = normalize( cameraPosition - pos ); + vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec4 transmitted = getIBLVolumeRefraction( + n, v, material.roughness, material.diffuseContribution, material.specularColorBlended, material.specularF90, + pos, modelMatrix, viewMatrix, projectionMatrix, material.dispersion, material.ior, material.thickness, + material.attenuationColor, material.attenuationDistance ); + material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission ); +#endif`,kU=`#ifdef USE_TRANSMISSION + uniform float transmission; + uniform float thickness; + uniform float attenuationDistance; + uniform vec3 attenuationColor; + #ifdef USE_TRANSMISSIONMAP + uniform sampler2D transmissionMap; + #endif + #ifdef USE_THICKNESSMAP + uniform sampler2D thicknessMap; + #endif + uniform vec2 transmissionSamplerSize; + uniform sampler2D transmissionSamplerMap; + uniform mat4 modelMatrix; + uniform mat4 projectionMatrix; + varying vec3 vWorldPosition; + float w0( float a ) { + return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + } + float w1( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); + } + float w2( float a ){ + return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + } + float w3( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * a ); + } + float g0( float a ) { + return w0( a ) + w1( a ); + } + float g1( float a ) { + return w2( a ) + w3( a ); + } + float h0( float a ) { + return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); + } + float h1( float a ) { + return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); + } + vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { + uv = uv * texelSize.zw + 0.5; + vec2 iuv = floor( uv ); + vec2 fuv = fract( uv ); + float g0x = g0( fuv.x ); + float g1x = g1( fuv.x ); + float h0x = h0( fuv.x ); + float h1x = h1( fuv.x ); + float h0y = h0( fuv.y ); + float h1y = h1( fuv.y ); + vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + + g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + } + vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { + vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); + vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); + vec2 fLodSizeInv = 1.0 / fLodSize; + vec2 cLodSizeInv = 1.0 / cLodSize; + vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); + vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); + return mix( fSample, cSample, fract( lod ) ); + } + vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { + vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + vec3 modelScale; + modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); + modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); + modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + return normalize( refractionVector ) * thickness * modelScale; + } + float applyIorToRoughness( const in float roughness, const in float ior ) { + return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); + } + vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); + return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + } + vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + if ( isinf( attenuationDistance ) ) { + return vec3( 1.0 ); + } else { + vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; + vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); return transmittance; + } + } + vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, + const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, + const in mat4 viewMatrix, const in mat4 projMatrix, const in float dispersion, const in float ior, const in float thickness, + const in vec3 attenuationColor, const in float attenuationDistance ) { + vec4 transmittedLight; + vec3 transmittance; + #ifdef USE_DISPERSION + float halfSpread = ( ior - 1.0 ) * 0.025 * dispersion; + vec3 iors = vec3( ior - halfSpread, ior, ior + halfSpread ); + for ( int i = 0; i < 3; i ++ ) { + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, iors[ i ], modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + vec4 transmissionSample = getTransmissionSample( refractionCoords, roughness, iors[ i ] ); + transmittedLight[ i ] = transmissionSample[ i ]; + transmittedLight.a += transmissionSample.a; + transmittance[ i ] = diffuseColor[ i ] * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance )[ i ]; + } + transmittedLight.a /= 3.0; + #else + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); + #endif + vec3 attenuatedColor = transmittance * transmittedLight.rgb; + vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + } +#endif`,VU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + varying vec2 vNormalMapUv; +#endif +#ifdef USE_EMISSIVEMAP + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_SPECULARMAP + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`,HU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + uniform mat3 mapTransform; + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + uniform mat3 alphaMapTransform; + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + uniform mat3 lightMapTransform; + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + uniform mat3 aoMapTransform; + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + uniform mat3 bumpMapTransform; + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + uniform mat3 normalMapTransform; + varying vec2 vNormalMapUv; +#endif +#ifdef USE_DISPLACEMENTMAP + uniform mat3 displacementMapTransform; + varying vec2 vDisplacementMapUv; +#endif +#ifdef USE_EMISSIVEMAP + uniform mat3 emissiveMapTransform; + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + uniform mat3 metalnessMapTransform; + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + uniform mat3 roughnessMapTransform; + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + uniform mat3 anisotropyMapTransform; + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + uniform mat3 clearcoatMapTransform; + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform mat3 clearcoatNormalMapTransform; + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform mat3 clearcoatRoughnessMapTransform; + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + uniform mat3 sheenColorMapTransform; + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + uniform mat3 sheenRoughnessMapTransform; + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + uniform mat3 iridescenceMapTransform; + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform mat3 iridescenceThicknessMapTransform; + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SPECULARMAP + uniform mat3 specularMapTransform; + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + uniform mat3 specularColorMapTransform; + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + uniform mat3 specularIntensityMapTransform; + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`,GU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + vUv = vec3( uv, 1 ).xy; +#endif +#ifdef USE_MAP + vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ALPHAMAP + vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_LIGHTMAP + vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_AOMAP + vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_BUMPMAP + vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_NORMALMAP + vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_DISPLACEMENTMAP + vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_EMISSIVEMAP + vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_METALNESSMAP + vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ROUGHNESSMAP + vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ANISOTROPYMAP + vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOATMAP + vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCEMAP + vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_COLORMAP + vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULARMAP + vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_COLORMAP + vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_TRANSMISSIONMAP + vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_THICKNESSMAP + vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy; +#endif`,XU=`#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0 + vec4 worldPosition = vec4( transformed, 1.0 ); + #ifdef USE_BATCHING + worldPosition = batchingMatrix * worldPosition; + #endif + #ifdef USE_INSTANCING + worldPosition = instanceMatrix * worldPosition; + #endif + worldPosition = modelMatrix * worldPosition; +#endif`;const WU=`varying vec2 vUv; +uniform mat3 uvTransform; +void main() { + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + gl_Position = vec4( position.xy, 1.0, 1.0 ); +}`,qU=`uniform sampler2D t2D; +uniform float backgroundIntensity; +varying vec2 vUv; +void main() { + vec4 texColor = texture2D( t2D, vUv ); + #ifdef DECODE_VIDEO_TEXTURE + texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`,jU=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`,YU=`#ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; +#elif defined( ENVMAP_TYPE_CUBE_UV ) + uniform sampler2D envMap; +#endif +uniform float flipEnvMap; +uniform float backgroundBlurriness; +uniform float backgroundIntensity; +uniform mat3 backgroundRotation; +varying vec3 vWorldDirection; +#include +void main() { + #ifdef ENVMAP_TYPE_CUBE + vec4 texColor = textureCube( envMap, backgroundRotation * vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) ); + #elif defined( ENVMAP_TYPE_CUBE_UV ) + vec4 texColor = textureCubeUV( envMap, backgroundRotation * vWorldDirection, backgroundBlurriness ); + #else + vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`,ZU=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`,QU=`uniform samplerCube tCube; +uniform float tFlip; +uniform float opacity; +varying vec3 vWorldDirection; +void main() { + vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) ); + gl_FragColor = texColor; + gl_FragColor.a *= opacity; + #include + #include +}`,KU=`#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vHighPrecisionZW = gl_Position.zw; +}`,JU=`#if DEPTH_PACKING == 3200 + uniform float opacity; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + vec4 diffuseColor = vec4( 1.0 ); + #include + #if DEPTH_PACKING == 3200 + diffuseColor.a = opacity; + #endif + #include + #include + #include + #include + #include + #ifdef USE_REVERSED_DEPTH_BUFFER + float fragCoordZ = vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ]; + #else + float fragCoordZ = 0.5 * vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ] + 0.5; + #endif + #if DEPTH_PACKING == 3200 + gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity ); + #elif DEPTH_PACKING == 3201 + gl_FragColor = packDepthToRGBA( fragCoordZ ); + #elif DEPTH_PACKING == 3202 + gl_FragColor = vec4( packDepthToRGB( fragCoordZ ), 1.0 ); + #elif DEPTH_PACKING == 3203 + gl_FragColor = vec4( packDepthToRG( fragCoordZ ), 0.0, 1.0 ); + #endif +}`,$U=`#define DISTANCE +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vWorldPosition = worldPosition.xyz; +}`,eI=`#define DISTANCE +uniform vec3 referencePosition; +uniform float nearDistance; +uniform float farDistance; +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main () { + vec4 diffuseColor = vec4( 1.0 ); + #include + #include + #include + #include + #include + float dist = length( vWorldPosition - referencePosition ); + dist = ( dist - nearDistance ) / ( farDistance - nearDistance ); + dist = saturate( dist ); + gl_FragColor = vec4( dist, 0.0, 0.0, 1.0 ); +}`,tI=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include +}`,nI=`uniform sampler2D tEquirect; +varying vec3 vWorldDirection; +#include +void main() { + vec3 direction = normalize( vWorldDirection ); + vec2 sampleUV = equirectUv( direction ); + gl_FragColor = texture2D( tEquirect, sampleUV ); + #include + #include +}`,iI=`uniform float scale; +attribute float lineDistance; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vLineDistance = scale * lineDistance; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,aI=`uniform vec3 diffuse; +uniform float opacity; +uniform float dashSize; +uniform float totalSize; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + if ( mod( vLineDistance, totalSize ) > dashSize ) { + discard; + } + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`,sI=`#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #if defined ( USE_ENVMAP ) || defined ( USE_SKINNING ) + #include + #include + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,rI=`uniform vec3 diffuse; +uniform float opacity; +#ifndef FLAT_SHADED + varying vec3 vNormal; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI; + #else + reflectedLight.indirectDiffuse += vec3( 1.0 ); + #endif + #include + reflectedLight.indirectDiffuse *= diffuseColor.rgb; + vec3 outgoingLight = reflectedLight.indirectDiffuse; + #include + #include + #include + #include + #include + #include + #include +}`,oI=`#define LAMBERT +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`,lI=`#define LAMBERT +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`,uI=`#define MATCAP +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; +}`,cI=`#define MATCAP +uniform vec3 diffuse; +uniform float opacity; +uniform sampler2D matcap; +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 viewDir = normalize( vViewPosition ); + vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) ); + vec3 y = cross( viewDir, x ); + vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; + #ifdef USE_MATCAP + vec4 matcapColor = texture2D( matcap, uv ); + #else + vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 ); + #endif + vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb; + #include + #include + #include + #include + #include + #include +}`,fI=`#define NORMAL +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + vViewPosition = - mvPosition.xyz; +#endif +}`,hI=`#define NORMAL +uniform float opacity; +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( 0.0, 0.0, 0.0, opacity ); + #include + #include + #include + #include + gl_FragColor = vec4( normalize( normal ) * 0.5 + 0.5, diffuseColor.a ); + #ifdef OPAQUE + gl_FragColor.a = 1.0; + #endif +}`,dI=`#define PHONG +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`,pI=`#define PHONG +uniform vec3 diffuse; +uniform vec3 emissive; +uniform vec3 specular; +uniform float shininess; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`,mI=`#define STANDARD +varying vec3 vViewPosition; +#ifdef USE_TRANSMISSION + varying vec3 vWorldPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +#ifdef USE_TRANSMISSION + vWorldPosition = worldPosition.xyz; +#endif +}`,gI=`#define STANDARD +#ifdef PHYSICAL + #define IOR + #define USE_SPECULAR +#endif +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float roughness; +uniform float metalness; +uniform float opacity; +#ifdef IOR + uniform float ior; +#endif +#ifdef USE_SPECULAR + uniform float specularIntensity; + uniform vec3 specularColor; + #ifdef USE_SPECULAR_COLORMAP + uniform sampler2D specularColorMap; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + uniform sampler2D specularIntensityMap; + #endif +#endif +#ifdef USE_CLEARCOAT + uniform float clearcoat; + uniform float clearcoatRoughness; +#endif +#ifdef USE_DISPERSION + uniform float dispersion; +#endif +#ifdef USE_IRIDESCENCE + uniform float iridescence; + uniform float iridescenceIOR; + uniform float iridescenceThicknessMinimum; + uniform float iridescenceThicknessMaximum; +#endif +#ifdef USE_SHEEN + uniform vec3 sheenColor; + uniform float sheenRoughness; + #ifdef USE_SHEEN_COLORMAP + uniform sampler2D sheenColorMap; + #endif + #ifdef USE_SHEEN_ROUGHNESSMAP + uniform sampler2D sheenRoughnessMap; + #endif +#endif +#ifdef USE_ANISOTROPY + uniform vec2 anisotropyVector; + #ifdef USE_ANISOTROPYMAP + uniform sampler2D anisotropyMap; + #endif +#endif +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse; + vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular; + #include + vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance; + #ifdef USE_SHEEN + + outgoingLight = outgoingLight + sheenSpecularDirect + sheenSpecularIndirect; + + #endif + #ifdef USE_CLEARCOAT + float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) ); + vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc ); + outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat; + #endif + #include + #include + #include + #include + #include + #include +}`,vI=`#define TOON +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +}`,yI=`#define TOON +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include +}`,_I=`uniform float size; +uniform float scale; +#include +#include +#include +#include +#include +#include +#ifdef USE_POINTS_UV + varying vec2 vUv; + uniform mat3 uvTransform; +#endif +void main() { + #ifdef USE_POINTS_UV + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + #endif + #include + #include + #include + #include + #include + #include + gl_PointSize = size; + #ifdef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z ); + #endif + #include + #include + #include + #include +}`,xI=`uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`,bI=`#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,SI=`uniform vec3 color; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) ); + #include + #include + #include +}`,MI=`uniform float rotation; +uniform vec2 center; +#include +#include +#include +#include +#include +void main() { + #include + vec4 mvPosition = modelViewMatrix[ 3 ]; + vec2 scale = vec2( length( modelMatrix[ 0 ].xyz ), length( modelMatrix[ 1 ].xyz ) ); + #ifndef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) scale *= - mvPosition.z; + #endif + vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale; + vec2 rotatedPosition; + rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y; + rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y; + mvPosition.xy += rotatedPosition; + gl_Position = projectionMatrix * mvPosition; + #include + #include + #include +}`,EI=`uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include 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n=this._renderer,s=e.mapping===zo||e.mapping===Pu;s?(this._cubemapMaterial===null&&(this._cubemapMaterial=p1()),this._cubemapMaterial.uniforms.flipEnvMap.value=e.isRenderTargetTexture===!1?-1:1):this._equirectMaterial===null&&(this._equirectMaterial=d1());const u=s?this._cubemapMaterial:this._equirectMaterial,f=this._lodMeshes[0];f.material=u;const h=u.uniforms;h.envMap.value=e;const m=this._cubeSize;zh(t,0,0,3*m,2*m),n.setRenderTarget(t),n.render(f,Wp)}_applyPMREM(e){const t=this._renderer,n=t.autoClear;t.autoClear=!1;const s=this._lodMeshes.length;for(let u=1;uA-Ou?n-A+Ou:0),E=4*(this._cubeSize-R);m.envMap.value=e.texture,m.roughness.value=M,m.mipInt.value=A-t,zh(u,w,E,3*R,2*R),s.setRenderTarget(u),s.render(h,Wp),m.envMap.value=u.texture,m.roughness.value=0,m.mipInt.value=A-n,zh(e,w,E,3*R,2*R),s.setRenderTarget(e),s.render(h,Wp)}_blur(e,t,n,s,u){const f=this._pingPongRenderTarget;this._halfBlur(e,f,t,n,s,"latitudinal",u),this._halfBlur(f,e,n,n,s,"longitudinal",u)}_halfBlur(e,t,n,s,u,f,h){const m=this._renderer,g=this._blurMaterial;f!=="latitudinal"&&f!=="longitudinal"&&Rt("blur direction must be either latitudinal or longitudinal!");const _=3,x=this._lodMeshes[s];x.material=g;const b=g.uniforms,M=this._sizeLods[n]-1,A=isFinite(u)?Math.PI/(2*M):2*Math.PI/(2*qc-1),R=u/A,w=isFinite(u)?1+Math.floor(_*R):qc;w>qc&&ft(`sigmaRadians, ${u}, is too large and will clip, as it requested ${w} samples when the maximum is set to ${qc}`);const E=[];let N=0;for(let H=0;HD-Ou?s-D+Ou:0),z=4*(this._cubeSize-U);zh(t,B,z,3*U,2*U),m.setRenderTarget(t),m.render(x,Wp)}}function II(r){const e=[],t=[],n=[];let s=r;const u=r-Ou+1+c1.length;for(let f=0;fr-Ou?m=c1[f-r+Ou-1]:f===0&&(m=0),t.push(m);const g=1/(h-2),_=-g,x=1+g,b=[_,_,x,_,x,x,_,_,x,x,_,x],M=6,A=6,R=3,w=2,E=1,N=new Float32Array(R*A*M),D=new Float32Array(w*A*M),U=new Float32Array(E*A*M);for(let z=0;z2?0:-1,I=[H,W,0,H+2/3,W,0,H+2/3,W+1,0,H,W,0,H+2/3,W+1,0,H,W+1,0];N.set(I,R*A*z),D.set(b,w*A*z);const P=[z,z,z,z,z,z];U.set(P,E*A*z)}const B=new Kt;B.setAttribute("position",new Xn(N,R)),B.setAttribute("uv",new Xn(D,w)),B.setAttribute("faceIndex",new Xn(U,E)),n.push(new Yi(B,null)),s>Ou&&s--}return{lodMeshes:n,sizeLods:e,sigmas:t}}function h1(r,e,t){const n=new Hs(r,e,t);return n.texture.mapping=id,n.texture.name="PMREM.cubeUv",n.scissorTest=!0,n}function zh(r,e,t,n,s){r.viewport.set(e,t,n,s),r.scissor.set(e,t,n,s)}function OI(r,e,t){return new yr({name:"PMREMGGXConvolution",defines:{GGX_SAMPLES:LI,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${r}.0`},uniforms:{envMap:{value:null},roughness:{value:0},mipInt:{value:0}},vertexShader:Qy(),fragmentShader:` + + precision highp float; + precision highp int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform float roughness; + uniform float mipInt; + + #define ENVMAP_TYPE_CUBE_UV + #include + + #define PI 3.14159265359 + + // Van der Corput radical inverse + float radicalInverse_VdC(uint bits) { + bits = (bits << 16u) | (bits >> 16u); + bits = ((bits & 0x55555555u) << 1u) | ((bits & 0xAAAAAAAAu) >> 1u); + bits = ((bits & 0x33333333u) << 2u) | ((bits & 0xCCCCCCCCu) >> 2u); + bits = ((bits & 0x0F0F0F0Fu) << 4u) | ((bits & 0xF0F0F0F0u) >> 4u); + bits = ((bits & 0x00FF00FFu) << 8u) | ((bits & 0xFF00FF00u) >> 8u); + return float(bits) * 2.3283064365386963e-10; // / 0x100000000 + } + + // Hammersley sequence + vec2 hammersley(uint i, uint N) { + return vec2(float(i) / float(N), radicalInverse_VdC(i)); + } + + // GGX VNDF importance sampling (Eric Heitz 2018) + // "Sampling the GGX Distribution of Visible Normals" + // https://jcgt.org/published/0007/04/01/ + vec3 importanceSampleGGX_VNDF(vec2 Xi, vec3 V, float roughness) { + float alpha = roughness * roughness; + + // Section 3.2: Transform view direction to hemisphere configuration + vec3 Vh = normalize(vec3(alpha * V.x, alpha * V.y, V.z)); + + // Section 4.1: Orthonormal basis + float lensq = Vh.x * Vh.x + Vh.y * Vh.y; + vec3 T1 = lensq > 0.0 ? vec3(-Vh.y, Vh.x, 0.0) / sqrt(lensq) : vec3(1.0, 0.0, 0.0); + vec3 T2 = cross(Vh, T1); + + // Section 4.2: Parameterization of projected area + float r = sqrt(Xi.x); + float phi = 2.0 * PI * Xi.y; + float t1 = r * cos(phi); + float t2 = r * sin(phi); + float s = 0.5 * (1.0 + Vh.z); + t2 = (1.0 - s) * sqrt(1.0 - t1 * t1) + s * t2; + + // Section 4.3: Reprojection onto hemisphere + vec3 Nh = t1 * T1 + t2 * T2 + sqrt(max(0.0, 1.0 - t1 * t1 - t2 * t2)) * Vh; + + // Section 3.4: Transform back to ellipsoid configuration + return normalize(vec3(alpha * Nh.x, alpha * Nh.y, max(0.0, Nh.z))); + } + + void main() { + vec3 N = normalize(vOutputDirection); + vec3 V = N; // Assume view direction equals normal for pre-filtering + + vec3 prefilteredColor = vec3(0.0); + float totalWeight = 0.0; + + // For very low roughness, just sample the environment directly + if (roughness < 0.001) { + gl_FragColor = vec4(bilinearCubeUV(envMap, N, mipInt), 1.0); + return; + } + + // Tangent space basis for VNDF sampling + vec3 up = abs(N.z) < 0.999 ? vec3(0.0, 0.0, 1.0) : vec3(1.0, 0.0, 0.0); + vec3 tangent = normalize(cross(up, N)); + vec3 bitangent = cross(N, tangent); + + for(uint i = 0u; i < uint(GGX_SAMPLES); i++) { + vec2 Xi = hammersley(i, uint(GGX_SAMPLES)); + + // For PMREM, V = N, so in tangent space V is always (0, 0, 1) + vec3 H_tangent = importanceSampleGGX_VNDF(Xi, vec3(0.0, 0.0, 1.0), roughness); + + // Transform H back to world space + vec3 H = normalize(tangent * H_tangent.x + bitangent * H_tangent.y + N * H_tangent.z); + vec3 L = normalize(2.0 * dot(V, H) * H - V); + + float NdotL = max(dot(N, L), 0.0); + + if(NdotL > 0.0) { + // Sample environment at fixed mip level + // VNDF importance sampling handles the distribution filtering + vec3 sampleColor = bilinearCubeUV(envMap, L, mipInt); + + // Weight by NdotL for the split-sum approximation + // VNDF PDF naturally accounts for the visible microfacet distribution + prefilteredColor += sampleColor * NdotL; + totalWeight += NdotL; + } + } + + if (totalWeight > 0.0) { + prefilteredColor = prefilteredColor / totalWeight; + } + + gl_FragColor = vec4(prefilteredColor, 1.0); + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function PI(r,e,t){const n=new Float32Array(qc),s=new j(0,1,0);return new yr({name:"SphericalGaussianBlur",defines:{n:qc,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${r}.0`},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:n},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:s}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform int samples; + uniform float weights[ n ]; + uniform bool latitudinal; + uniform float dTheta; + uniform float mipInt; + uniform vec3 poleAxis; + + #define ENVMAP_TYPE_CUBE_UV + #include + + vec3 getSample( float theta, vec3 axis ) { + + float cosTheta = cos( theta ); + // Rodrigues' axis-angle rotation + vec3 sampleDirection = vOutputDirection * cosTheta + + cross( axis, vOutputDirection ) * sin( theta ) + + axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta ); + + return bilinearCubeUV( envMap, sampleDirection, mipInt ); + + } + + void main() { + + vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection ); + + if ( all( equal( axis, vec3( 0.0 ) ) ) ) { + + axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x ); + + } + + axis = normalize( axis ); + + gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis ); + + for ( int i = 1; i < n; i++ ) { + + if ( i >= samples ) { + + break; + + } + + float theta = dTheta * float( i ); + gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis ); + gl_FragColor.rgb += weights[ i ] * getSample( theta, axis ); + + } + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function d1(){return new yr({name:"EquirectangularToCubeUV",uniforms:{envMap:{value:null}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + + #include + + void main() { + + vec3 outputDirection = normalize( vOutputDirection ); + vec2 uv = equirectUv( outputDirection ); + + gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 ); + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function p1(){return new yr({name:"CubemapToCubeUV",uniforms:{envMap:{value:null},flipEnvMap:{value:-1}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + uniform float flipEnvMap; + + varying vec3 vOutputDirection; + + uniform samplerCube envMap; + + void main() { + + gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) ); + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function Qy(){return` + + precision mediump float; + precision mediump int; + + attribute float faceIndex; + + varying vec3 vOutputDirection; + + // RH coordinate system; PMREM face-indexing convention + vec3 getDirection( vec2 uv, float face ) { + + uv = 2.0 * uv - 1.0; + + vec3 direction = vec3( uv, 1.0 ); + + if ( face == 0.0 ) { + + direction = direction.zyx; // ( 1, v, u ) pos x + + } else if ( face == 1.0 ) { + + direction = direction.xzy; + direction.xz *= -1.0; // ( -u, 1, -v ) pos y + + } else if ( face == 2.0 ) { + + direction.x *= -1.0; // ( -u, v, 1 ) pos z + + } else if ( face == 3.0 ) { + + direction = direction.zyx; + direction.xz *= -1.0; // ( -1, v, -u ) neg x + + } else if ( face == 4.0 ) { + + direction = direction.xzy; + direction.xy *= -1.0; // ( -u, -1, v ) neg y + + } else if ( face == 5.0 ) { + + direction.z *= -1.0; // ( u, v, -1 ) neg z + + } + + return direction; + + } + + void main() { + + vOutputDirection = getDirection( uv, faceIndex ); + gl_Position = vec4( position, 1.0 ); + + } + `}function zI(r){let e=new WeakMap,t=null;function n(h){if(h&&h.isTexture){const m=h.mapping,g=m===om||m===lm,_=m===zo||m===Pu;if(g||_){let x=e.get(h);const b=x!==void 0?x.texture.pmremVersion:0;if(h.isRenderTargetTexture&&h.pmremVersion!==b)return t===null&&(t=new nb(r)),x=g?t.fromEquirectangular(h,x):t.fromCubemap(h,x),x.texture.pmremVersion=h.pmremVersion,e.set(h,x),x.texture;if(x!==void 0)return x.texture;{const M=h.image;return g&&M&&M.height>0||_&&M&&s(M)?(t===null&&(t=new nb(r)),x=g?t.fromEquirectangular(h):t.fromCubemap(h),x.texture.pmremVersion=h.pmremVersion,e.set(h,x),h.addEventListener("dispose",u),x.texture):null}}}return h}function s(h){let m=0;const g=6;for(let _=0;_e.maxTextureSize&&(B=Math.ceil(U/e.maxTextureSize),U=e.maxTextureSize);const z=new Float32Array(U*B*4*x),H=new wy(z,U,B,x);H.type=is,H.needsUpdate=!0;const W=D*4;for(let P=0;P + #include + + void main() { + gl_FragColor = texture2D( tDiffuse, vUv ); + + #ifdef LINEAR_TONE_MAPPING + gl_FragColor.rgb = LinearToneMapping( gl_FragColor.rgb ); + #elif defined( REINHARD_TONE_MAPPING ) + gl_FragColor.rgb = ReinhardToneMapping( gl_FragColor.rgb ); + #elif defined( CINEON_TONE_MAPPING ) + gl_FragColor.rgb = CineonToneMapping( gl_FragColor.rgb ); + #elif defined( ACES_FILMIC_TONE_MAPPING ) + gl_FragColor.rgb = ACESFilmicToneMapping( gl_FragColor.rgb ); + #elif defined( AGX_TONE_MAPPING ) + gl_FragColor.rgb = AgXToneMapping( gl_FragColor.rgb ); + #elif defined( NEUTRAL_TONE_MAPPING ) + gl_FragColor.rgb = NeutralToneMapping( gl_FragColor.rgb ); + #elif defined( CUSTOM_TONE_MAPPING ) + gl_FragColor.rgb = CustomToneMapping( gl_FragColor.rgb ); + #endif + + #ifdef SRGB_TRANSFER + gl_FragColor = sRGBTransferOETF( gl_FragColor ); + #endif + }`,depthTest:!1,depthWrite:!1}),g=new Yi(h,m),_=new Dl(-1,1,1,-1,0,1);let x=null,b=null,M=!1,A,R=null,w=[],E=!1;this.setSize=function(N,D){u.setSize(N,D),f.setSize(N,D);for(let 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USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.mapUv?"#define MAP_UV "+t.mapUv:"",t.alphaMapUv?"#define ALPHAMAP_UV "+t.alphaMapUv:"",t.lightMapUv?"#define LIGHTMAP_UV "+t.lightMapUv:"",t.aoMapUv?"#define AOMAP_UV "+t.aoMapUv:"",t.emissiveMapUv?"#define EMISSIVEMAP_UV "+t.emissiveMapUv:"",t.bumpMapUv?"#define BUMPMAP_UV "+t.bumpMapUv:"",t.normalMapUv?"#define NORMALMAP_UV "+t.normalMapUv:"",t.displacementMapUv?"#define DISPLACEMENTMAP_UV "+t.displacementMapUv:"",t.metalnessMapUv?"#define METALNESSMAP_UV "+t.metalnessMapUv:"",t.roughnessMapUv?"#define ROUGHNESSMAP_UV "+t.roughnessMapUv:"",t.anisotropyMapUv?"#define ANISOTROPYMAP_UV "+t.anisotropyMapUv:"",t.clearcoatMapUv?"#define CLEARCOATMAP_UV "+t.clearcoatMapUv:"",t.clearcoatNormalMapUv?"#define CLEARCOAT_NORMALMAP_UV "+t.clearcoatNormalMapUv:"",t.clearcoatRoughnessMapUv?"#define CLEARCOAT_ROUGHNESSMAP_UV "+t.clearcoatRoughnessMapUv:"",t.iridescenceMapUv?"#define IRIDESCENCEMAP_UV "+t.iridescenceMapUv:"",t.iridescenceThicknessMapUv?"#define IRIDESCENCE_THICKNESSMAP_UV "+t.iridescenceThicknessMapUv:"",t.sheenColorMapUv?"#define SHEEN_COLORMAP_UV "+t.sheenColorMapUv:"",t.sheenRoughnessMapUv?"#define SHEEN_ROUGHNESSMAP_UV "+t.sheenRoughnessMapUv:"",t.specularMapUv?"#define SPECULARMAP_UV "+t.specularMapUv:"",t.specularColorMapUv?"#define SPECULAR_COLORMAP_UV "+t.specularColorMapUv:"",t.specularIntensityMapUv?"#define SPECULAR_INTENSITYMAP_UV "+t.specularIntensityMapUv:"",t.transmissionMapUv?"#define TRANSMISSIONMAP_UV "+t.transmissionMapUv:"",t.thicknessMapUv?"#define THICKNESSMAP_UV "+t.thicknessMapUv:"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.flatShading?"#define FLAT_SHADED":"",t.skinning?"#define USE_SKINNING":"",t.morphTargets?"#define USE_MORPHTARGETS":"",t.morphNormals&&t.flatShading===!1?"#define USE_MORPHNORMALS":"",t.morphColors?"#define USE_MORPHCOLORS":"",t.morphTargetsCount>0?"#define MORPHTARGETS_TEXTURE_STRIDE "+t.morphTextureStride:"",t.morphTargetsCount>0?"#define MORPHTARGETS_COUNT "+t.morphTargetsCount:"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+m:"",t.sizeAttenuation?"#define USE_SIZEATTENUATION":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.logarithmicDepthBuffer?"#define USE_LOGARITHMIC_DEPTH_BUFFER":"",t.reversedDepthBuffer?"#define USE_REVERSED_DEPTH_BUFFER":"","uniform mat4 modelMatrix;","uniform mat4 modelViewMatrix;","uniform mat4 projectionMatrix;","uniform mat4 viewMatrix;","uniform mat3 normalMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;","#ifdef USE_INSTANCING"," attribute mat4 instanceMatrix;","#endif","#ifdef USE_INSTANCING_COLOR"," attribute vec3 instanceColor;","#endif","#ifdef USE_INSTANCING_MORPH"," uniform sampler2D morphTexture;","#endif","attribute vec3 position;","attribute vec3 normal;","attribute vec2 uv;","#ifdef USE_UV1"," attribute vec2 uv1;","#endif","#ifdef USE_UV2"," attribute vec2 uv2;","#endif","#ifdef USE_UV3"," attribute vec2 uv3;","#endif","#ifdef USE_TANGENT"," attribute vec4 tangent;","#endif","#if defined( USE_COLOR_ALPHA )"," attribute vec4 color;","#elif defined( USE_COLOR )"," attribute vec3 color;","#endif","#ifdef USE_SKINNING"," attribute vec4 skinIndex;"," attribute vec4 skinWeight;","#endif",` +`].filter(Qp).join(` +`),E=[w1(t),"#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,A,t.useFog&&t.fog?"#define USE_FOG":"",t.useFog&&t.fogExp2?"#define FOG_EXP2":"",t.alphaToCoverage?"#define ALPHA_TO_COVERAGE":"",t.map?"#define USE_MAP":"",t.matcap?"#define USE_MATCAP":"",t.envMap?"#define USE_ENVMAP":"",t.envMap?"#define "+g:"",t.envMap?"#define "+_:"",t.envMap?"#define "+x:"",b?"#define CUBEUV_TEXEL_WIDTH "+b.texelWidth:"",b?"#define CUBEUV_TEXEL_HEIGHT "+b.texelHeight:"",b?"#define CUBEUV_MAX_MIP "+b.maxMip+".0":"",t.lightMap?"#define USE_LIGHTMAP":"",t.aoMap?"#define USE_AOMAP":"",t.bumpMap?"#define USE_BUMPMAP":"",t.normalMap?"#define USE_NORMALMAP":"",t.normalMapObjectSpace?"#define USE_NORMALMAP_OBJECTSPACE":"",t.normalMapTangentSpace?"#define USE_NORMALMAP_TANGENTSPACE":"",t.emissiveMap?"#define USE_EMISSIVEMAP":"",t.anisotropy?"#define USE_ANISOTROPY":"",t.anisotropyMap?"#define USE_ANISOTROPYMAP":"",t.clearcoat?"#define USE_CLEARCOAT":"",t.clearcoatMap?"#define USE_CLEARCOATMAP":"",t.clearcoatRoughnessMap?"#define USE_CLEARCOAT_ROUGHNESSMAP":"",t.clearcoatNormalMap?"#define USE_CLEARCOAT_NORMALMAP":"",t.dispersion?"#define USE_DISPERSION":"",t.iridescence?"#define USE_IRIDESCENCE":"",t.iridescenceMap?"#define USE_IRIDESCENCEMAP":"",t.iridescenceThicknessMap?"#define USE_IRIDESCENCE_THICKNESSMAP":"",t.specularMap?"#define USE_SPECULARMAP":"",t.specularColorMap?"#define USE_SPECULAR_COLORMAP":"",t.specularIntensityMap?"#define USE_SPECULAR_INTENSITYMAP":"",t.roughnessMap?"#define USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaTest?"#define USE_ALPHATEST":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.sheen?"#define USE_SHEEN":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors||t.instancingColor||t.batchingColor?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.gradientMap?"#define USE_GRADIENTMAP":"",t.flatShading?"#define FLAT_SHADED":"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+m:"",t.premultipliedAlpha?"#define PREMULTIPLIED_ALPHA":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.decodeVideoTexture?"#define DECODE_VIDEO_TEXTURE":"",t.decodeVideoTextureEmissive?"#define DECODE_VIDEO_TEXTURE_EMISSIVE":"",t.logarithmicDepthBuffer?"#define USE_LOGARITHMIC_DEPTH_BUFFER":"",t.reversedDepthBuffer?"#define USE_REVERSED_DEPTH_BUFFER":"","uniform mat4 viewMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;",t.toneMapping!==gr?"#define TONE_MAPPING":"",t.toneMapping!==gr?un.tonemapping_pars_fragment:"",t.toneMapping!==gr?HO("toneMapping",t.toneMapping):"",t.dithering?"#define DITHERING":"",t.opaque?"#define OPAQUE":"",un.colorspace_pars_fragment,kO("linearToOutputTexel",t.outputColorSpace),GO(),t.useDepthPacking?"#define DEPTH_PACKING "+t.depthPacking:"",` +`].filter(Qp).join(` +`)),f=ab(f),f=E1(f,t),f=T1(f,t),h=ab(h),h=E1(h,t),h=T1(h,t),f=A1(f),h=A1(h),t.isRawShaderMaterial!==!0&&(N=`#version 300 es +`,w=[M,"#define attribute in","#define varying out","#define texture2D texture"].join(` +`)+` +`+w,E=["#define varying in",t.glslVersion===jx?"":"layout(location = 0) out highp vec4 pc_fragColor;",t.glslVersion===jx?"":"#define gl_FragColor pc_fragColor","#define gl_FragDepthEXT gl_FragDepth","#define texture2D texture","#define textureCube texture","#define texture2DProj textureProj","#define texture2DLodEXT textureLod","#define texture2DProjLodEXT textureProjLod","#define textureCubeLodEXT textureLod","#define texture2DGradEXT textureGrad","#define texture2DProjGradEXT textureProjGrad","#define textureCubeGradEXT textureGrad"].join(` +`)+` +`+E);const D=N+w+f,U=N+E+h,B=b1(s,s.VERTEX_SHADER,D),z=b1(s,s.FRAGMENT_SHADER,U);s.attachShader(R,B),s.attachShader(R,z),t.index0AttributeName!==void 0?s.bindAttribLocation(R,0,t.index0AttributeName):t.morphTargets===!0&&s.bindAttribLocation(R,0,"position"),s.linkProgram(R);function H(Z){if(r.debug.checkShaderErrors){const se=s.getProgramInfoLog(R)||"",te=s.getShaderInfoLog(B)||"",fe=s.getShaderInfoLog(z)||"",pe=se.trim(),Y=te.trim(),q=fe.trim();let ne=!0,be=!0;if(s.getProgramParameter(R,s.LINK_STATUS)===!1)if(ne=!1,typeof r.debug.onShaderError=="function")r.debug.onShaderError(s,R,B,z);else{const Ne=M1(s,B,"vertex"),X=M1(s,z,"fragment");Rt("THREE.WebGLProgram: Shader Error "+s.getError()+" - VALIDATE_STATUS "+s.getProgramParameter(R,s.VALIDATE_STATUS)+` + +Material Name: `+Z.name+` +Material Type: `+Z.type+` + +Program Info Log: `+pe+` +`+Ne+` +`+X)}else pe!==""?ft("WebGLProgram: Program Info Log:",pe):(Y===""||q==="")&&(be=!1);be&&(Z.diagnostics={runnable:ne,programLog:pe,vertexShader:{log:Y,prefix:w},fragmentShader:{log:q,prefix:E}})}s.deleteShader(B),s.deleteShader(z),W=new mv(s,R),I=qO(s,R)}let W;this.getUniforms=function(){return W===void 0&&H(this),W};let I;this.getAttributes=function(){return I===void 0&&H(this),I};let P=t.rendererExtensionParallelShaderCompile===!1;return this.isReady=function(){return P===!1&&(P=s.getProgramParameter(R,PO)),P},this.destroy=function(){n.releaseStatesOfProgram(this),s.deleteProgram(R),this.program=void 0},this.type=t.shaderType,this.name=t.shaderName,this.id=zO++,this.cacheKey=e,this.usedTimes=1,this.program=R,this.vertexShader=B,this.fragmentShader=z,this}let lP=0;class uP{constructor(){this.shaderCache=new Map,this.materialCache=new Map}update(e){const t=e.vertexShader,n=e.fragmentShader,s=this._getShaderStage(t),u=this._getShaderStage(n),f=this._getShaderCacheForMaterial(e);return f.has(s)===!1&&(f.add(s),s.usedTimes++),f.has(u)===!1&&(f.add(u),u.usedTimes++),this}remove(e){const t=this.materialCache.get(e);for(const n of t)n.usedTimes--,n.usedTimes===0&&this.shaderCache.delete(n.code);return this.materialCache.delete(e),this}getVertexShaderID(e){return this._getShaderStage(e.vertexShader).id}getFragmentShaderID(e){return this._getShaderStage(e.fragmentShader).id}dispose(){this.shaderCache.clear(),this.materialCache.clear()}_getShaderCacheForMaterial(e){const t=this.materialCache;let n=t.get(e);return n===void 0&&(n=new Set,t.set(e,n)),n}_getShaderStage(e){const t=this.shaderCache;let n=t.get(e);return n===void 0&&(n=new cP(e),t.set(e,n)),n}}class cP{constructor(e){this.id=lP++,this.code=e,this.usedTimes=0}}function fP(r,e,t,n,s,u,f){const h=new Kh,m=new uP,g=new Set,_=[],x=new Map,b=s.logarithmicDepthBuffer;let M=s.precision;const A={MeshDepthMaterial:"depth",MeshDistanceMaterial:"distance",MeshNormalMaterial:"normal",MeshBasicMaterial:"basic",MeshLambertMaterial:"lambert",MeshPhongMaterial:"phong",MeshToonMaterial:"toon",MeshStandardMaterial:"physical",MeshPhysicalMaterial:"physical",MeshMatcapMaterial:"matcap",LineBasicMaterial:"basic",LineDashedMaterial:"dashed",PointsMaterial:"points",ShadowMaterial:"shadow",SpriteMaterial:"sprite"};function R(I){return g.add(I),I===0?"uv":`uv${I}`}function w(I,P,Z,se,te){const fe=se.fog,pe=te.geometry,Y=I.isMeshStandardMaterial?se.environment:null,q=(I.isMeshStandardMaterial?t:e).get(I.envMap||Y),ne=q&&q.mapping===id?q.image.height:null,be=A[I.type];I.precision!==null&&(M=s.getMaxPrecision(I.precision),M!==I.precision&&ft("WebGLProgram.getParameters:",I.precision,"not supported, using",M,"instead."));const Ne=pe.morphAttributes.position||pe.morphAttributes.normal||pe.morphAttributes.color,X=Ne!==void 0?Ne.length:0;let oe=0;pe.morphAttributes.position!==void 0&&(oe=1),pe.morphAttributes.normal!==void 0&&(oe=2),pe.morphAttributes.color!==void 0&&(oe=3);let Ae,Fe,lt,de;if(be){const nn=qr[be];Ae=nn.vertexShader,Fe=nn.fragmentShader}else Ae=I.vertexShader,Fe=I.fragmentShader,m.update(I),lt=m.getVertexShaderID(I),de=m.getFragmentShaderID(I);const Re=r.getRenderTarget(),tt=r.state.buffers.depth.getReversed(),st=te.isInstancedMesh===!0,ht=te.isBatchedMesh===!0,jt=!!I.map,tn=!!I.matcap,Nt=!!q,Le=!!I.aoMap,He=!!I.lightMap,Oe=!!I.bumpMap,nt=!!I.normalMap,Q=!!I.displacementMap,Et=!!I.emissiveMap,ot=!!I.metalnessMap,Tt=!!I.roughnessMap,Qe=I.anisotropy>0,G=I.clearcoat>0,O=I.dispersion>0,ae=I.iridescence>0,Te=I.sheen>0,Ie=I.transmission>0,Ee=Qe&&!!I.anisotropyMap,dt=G&&!!I.clearcoatMap,Ke=G&&!!I.clearcoatNormalMap,vt=G&&!!I.clearcoatRoughnessMap,Dt=ae&&!!I.iridescenceMap,Ve=ae&&!!I.iridescenceThicknessMap,Ze=Te&&!!I.sheenColorMap,ct=Te&&!!I.sheenRoughnessMap,K=!!I.specularMap,me=!!I.specularColorMap,et=!!I.specularIntensityMap,J=Ie&&!!I.transmissionMap,je=Ie&&!!I.thicknessMap,Ge=!!I.gradientMap,at=!!I.alphaMap,Xe=I.alphaTest>0,Ue=!!I.alphaHash,Ye=!!I.extensions;let Ct=gr;I.toneMapped&&(Re===null||Re.isXRRenderTarget===!0)&&(Ct=r.toneMapping);const Jt={shaderID:be,shaderType:I.type,shaderName:I.name,vertexShader:Ae,fragmentShader:Fe,defines:I.defines,customVertexShaderID:lt,customFragmentShaderID:de,isRawShaderMaterial:I.isRawShaderMaterial===!0,glslVersion:I.glslVersion,precision:M,batching:ht,batchingColor:ht&&te._colorsTexture!==null,instancing:st,instancingColor:st&&te.instanceColor!==null,instancingMorph:st&&te.morphTexture!==null,outputColorSpace:Re===null?r.outputColorSpace:Re.isXRRenderTarget===!0?Re.texture.colorSpace:zu,alphaToCoverage:!!I.alphaToCoverage,map:jt,matcap:tn,envMap:Nt,envMapMode:Nt&&q.mapping,envMapCubeUVHeight:ne,aoMap:Le,lightMap:He,bumpMap:Oe,normalMap:nt,displacementMap:Q,emissiveMap:Et,normalMapObjectSpace:nt&&I.normalMapType===DE,normalMapTangentSpace:nt&&I.normalMapType===ku,metalnessMap:ot,roughnessMap:Tt,anisotropy:Qe,anisotropyMap:Ee,clearcoat:G,clearcoatMap:dt,clearcoatNormalMap:Ke,clearcoatRoughnessMap:vt,dispersion:O,iridescence:ae,iridescenceMap:Dt,iridescenceThicknessMap:Ve,sheen:Te,sheenColorMap:Ze,sheenRoughnessMap:ct,specularMap:K,specularColorMap:me,specularIntensityMap:et,transmission:Ie,transmissionMap:J,thicknessMap:je,gradientMap:Ge,opaque:I.transparent===!1&&I.blending===Kc&&I.alphaToCoverage===!1,alphaMap:at,alphaTest:Xe,alphaHash:Ue,combine:I.combine,mapUv:jt&&R(I.map.channel),aoMapUv:Le&&R(I.aoMap.channel),lightMapUv:He&&R(I.lightMap.channel),bumpMapUv:Oe&&R(I.bumpMap.channel),normalMapUv:nt&&R(I.normalMap.channel),displacementMapUv:Q&&R(I.displacementMap.channel),emissiveMapUv:Et&&R(I.emissiveMap.channel),metalnessMapUv:ot&&R(I.metalnessMap.channel),roughnessMapUv:Tt&&R(I.roughnessMap.channel),anisotropyMapUv:Ee&&R(I.anisotropyMap.channel),clearcoatMapUv:dt&&R(I.clearcoatMap.channel),clearcoatNormalMapUv:Ke&&R(I.clearcoatNormalMap.channel),clearcoatRoughnessMapUv:vt&&R(I.clearcoatRoughnessMap.channel),iridescenceMapUv:Dt&&R(I.iridescenceMap.channel),iridescenceThicknessMapUv:Ve&&R(I.iridescenceThicknessMap.channel),sheenColorMapUv:Ze&&R(I.sheenColorMap.channel),sheenRoughnessMapUv:ct&&R(I.sheenRoughnessMap.channel),specularMapUv:K&&R(I.specularMap.channel),specularColorMapUv:me&&R(I.specularColorMap.channel),specularIntensityMapUv:et&&R(I.specularIntensityMap.channel),transmissionMapUv:J&&R(I.transmissionMap.channel),thicknessMapUv:je&&R(I.thicknessMap.channel),alphaMapUv:at&&R(I.alphaMap.channel),vertexTangents:!!pe.attributes.tangent&&(nt||Qe),vertexColors:I.vertexColors,vertexAlphas:I.vertexColors===!0&&!!pe.attributes.color&&pe.attributes.color.itemSize===4,pointsUvs:te.isPoints===!0&&!!pe.attributes.uv&&(jt||at),fog:!!fe,useFog:I.fog===!0,fogExp2:!!fe&&fe.isFogExp2,flatShading:I.flatShading===!0&&I.wireframe===!1,sizeAttenuation:I.sizeAttenuation===!0,logarithmicDepthBuffer:b,reversedDepthBuffer:tt,skinning:te.isSkinnedMesh===!0,morphTargets:pe.morphAttributes.position!==void 0,morphNormals:pe.morphAttributes.normal!==void 0,morphColors:pe.morphAttributes.color!==void 0,morphTargetsCount:X,morphTextureStride:oe,numDirLights:P.directional.length,numPointLights:P.point.length,numSpotLights:P.spot.length,numSpotLightMaps:P.spotLightMap.length,numRectAreaLights:P.rectArea.length,numHemiLights:P.hemi.length,numDirLightShadows:P.directionalShadowMap.length,numPointLightShadows:P.pointShadowMap.length,numSpotLightShadows:P.spotShadowMap.length,numSpotLightShadowsWithMaps:P.numSpotLightShadowsWithMaps,numLightProbes:P.numLightProbes,numClippingPlanes:f.numPlanes,numClipIntersection:f.numIntersection,dithering:I.dithering,shadowMapEnabled:r.shadowMap.enabled&&Z.length>0,shadowMapType:r.shadowMap.type,toneMapping:Ct,decodeVideoTexture:jt&&I.map.isVideoTexture===!0&&Sn.getTransfer(I.map.colorSpace)===zn,decodeVideoTextureEmissive:Et&&I.emissiveMap.isVideoTexture===!0&&Sn.getTransfer(I.emissiveMap.colorSpace)===zn,premultipliedAlpha:I.premultipliedAlpha,doubleSided:I.side===Uo,flipSided:I.side===as,useDepthPacking:I.depthPacking>=0,depthPacking:I.depthPacking||0,index0AttributeName:I.index0AttributeName,extensionClipCullDistance:Ye&&I.extensions.clipCullDistance===!0&&n.has("WEBGL_clip_cull_distance"),extensionMultiDraw:(Ye&&I.extensions.multiDraw===!0||ht)&&n.has("WEBGL_multi_draw"),rendererExtensionParallelShaderCompile:n.has("KHR_parallel_shader_compile"),customProgramCacheKey:I.customProgramCacheKey()};return Jt.vertexUv1s=g.has(1),Jt.vertexUv2s=g.has(2),Jt.vertexUv3s=g.has(3),g.clear(),Jt}function E(I){const P=[];if(I.shaderID?P.push(I.shaderID):(P.push(I.customVertexShaderID),P.push(I.customFragmentShaderID)),I.defines!==void 0)for(const Z in I.defines)P.push(Z),P.push(I.defines[Z]);return I.isRawShaderMaterial===!1&&(N(P,I),D(P,I),P.push(r.outputColorSpace)),P.push(I.customProgramCacheKey),P.join()}function N(I,P){I.push(P.precision),I.push(P.outputColorSpace),I.push(P.envMapMode),I.push(P.envMapCubeUVHeight),I.push(P.mapUv),I.push(P.alphaMapUv),I.push(P.lightMapUv),I.push(P.aoMapUv),I.push(P.bumpMapUv),I.push(P.normalMapUv),I.push(P.displacementMapUv),I.push(P.emissiveMapUv),I.push(P.metalnessMapUv),I.push(P.roughnessMapUv),I.push(P.anisotropyMapUv),I.push(P.clearcoatMapUv),I.push(P.clearcoatNormalMapUv),I.push(P.clearcoatRoughnessMapUv),I.push(P.iridescenceMapUv),I.push(P.iridescenceThicknessMapUv),I.push(P.sheenColorMapUv),I.push(P.sheenRoughnessMapUv),I.push(P.specularMapUv),I.push(P.specularColorMapUv),I.push(P.specularIntensityMapUv),I.push(P.transmissionMapUv),I.push(P.thicknessMapUv),I.push(P.combine),I.push(P.fogExp2),I.push(P.sizeAttenuation),I.push(P.morphTargetsCount),I.push(P.morphAttributeCount),I.push(P.numDirLights),I.push(P.numPointLights),I.push(P.numSpotLights),I.push(P.numSpotLightMaps),I.push(P.numHemiLights),I.push(P.numRectAreaLights),I.push(P.numDirLightShadows),I.push(P.numPointLightShadows),I.push(P.numSpotLightShadows),I.push(P.numSpotLightShadowsWithMaps),I.push(P.numLightProbes),I.push(P.shadowMapType),I.push(P.toneMapping),I.push(P.numClippingPlanes),I.push(P.numClipIntersection),I.push(P.depthPacking)}function D(I,P){h.disableAll(),P.instancing&&h.enable(0),P.instancingColor&&h.enable(1),P.instancingMorph&&h.enable(2),P.matcap&&h.enable(3),P.envMap&&h.enable(4),P.normalMapObjectSpace&&h.enable(5),P.normalMapTangentSpace&&h.enable(6),P.clearcoat&&h.enable(7),P.iridescence&&h.enable(8),P.alphaTest&&h.enable(9),P.vertexColors&&h.enable(10),P.vertexAlphas&&h.enable(11),P.vertexUv1s&&h.enable(12),P.vertexUv2s&&h.enable(13),P.vertexUv3s&&h.enable(14),P.vertexTangents&&h.enable(15),P.anisotropy&&h.enable(16),P.alphaHash&&h.enable(17),P.batching&&h.enable(18),P.dispersion&&h.enable(19),P.batchingColor&&h.enable(20),P.gradientMap&&h.enable(21),I.push(h.mask),h.disableAll(),P.fog&&h.enable(0),P.useFog&&h.enable(1),P.flatShading&&h.enable(2),P.logarithmicDepthBuffer&&h.enable(3),P.reversedDepthBuffer&&h.enable(4),P.skinning&&h.enable(5),P.morphTargets&&h.enable(6),P.morphNormals&&h.enable(7),P.morphColors&&h.enable(8),P.premultipliedAlpha&&h.enable(9),P.shadowMapEnabled&&h.enable(10),P.doubleSided&&h.enable(11),P.flipSided&&h.enable(12),P.useDepthPacking&&h.enable(13),P.dithering&&h.enable(14),P.transmission&&h.enable(15),P.sheen&&h.enable(16),P.opaque&&h.enable(17),P.pointsUvs&&h.enable(18),P.decodeVideoTexture&&h.enable(19),P.decodeVideoTextureEmissive&&h.enable(20),P.alphaToCoverage&&h.enable(21),I.push(h.mask)}function 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dt=Ie?dm:Sn.getTransfer(Te);ae===r.FLOAT&&(Ee=r.RGBA32F),ae===r.HALF_FLOAT&&(Ee=r.RGBA16F),ae===r.UNSIGNED_BYTE&&(Ee=dt===zn?r.SRGB8_ALPHA8:r.RGBA8),ae===r.UNSIGNED_SHORT_4_4_4_4&&(Ee=r.RGBA4),ae===r.UNSIGNED_SHORT_5_5_5_1&&(Ee=r.RGB5_A1)}return(Ee===r.R16F||Ee===r.R32F||Ee===r.RG16F||Ee===r.RG32F||Ee===r.RGBA16F||Ee===r.RGBA32F)&&e.get("EXT_color_buffer_float"),Ee}function U(G,O){let ae;return G?O===null||O===vr||O===jh?ae=r.DEPTH24_STENCIL8:O===is?ae=r.DEPTH32F_STENCIL8:O===qh&&(ae=r.DEPTH24_STENCIL8,ft("DepthTexture: 16 bit depth attachment is not supported with stencil. 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0&&(G.__webglInit=!0,O.addEventListener("dispose",z));const Te=O.source;let Ie=b.get(Te);Ie===void 0&&(Ie={},b.set(Te,Ie));const Ee=fe(O);if(Ee!==G.__cacheKey){Ie[Ee]===void 0&&(Ie[Ee]={texture:r.createTexture(),usedTimes:0},f.memory.textures++,ae=!0),Ie[Ee].usedTimes++;const dt=Ie[G.__cacheKey];dt!==void 0&&(Ie[G.__cacheKey].usedTimes--,dt.usedTimes===0&&I(O)),G.__cacheKey=Ee,G.__webglTexture=Ie[Ee].texture}return ae}function Fe(G,O,ae){return Math.floor(Math.floor(G/ae)/O)}function lt(G,O,ae,Te){const Ee=G.updateRanges;if(Ee.length===0)t.texSubImage2D(r.TEXTURE_2D,0,0,0,O.width,O.height,ae,Te,O.data);else{Ee.sort((Ve,Ze)=>Ve.start-Ze.start);let dt=0;for(let Ve=1;Ve0){J&&je&&t.texStorage2D(r.TEXTURE_2D,at,K,et[0].width,et[0].height);for(let Xe=0,Ue=et.length;Xe0){const Ye=tb(me.width,me.height,O.format,O.type);for(const Ct of O.layerUpdates){const Jt=me.data.subarray(Ct*Ye/me.data.BYTES_PER_ELEMENT,(Ct+1)*Ye/me.data.BYTES_PER_ELEMENT);t.compressedTexSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,Ct,me.width,me.height,1,Ze,Jt)}O.clearLayerUpdates()}else t.compressedTexSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,0,me.width,me.height,Ve.depth,Ze,me.data)}else t.compressedTexImage3D(r.TEXTURE_2D_ARRAY,Xe,K,me.width,me.height,Ve.depth,0,me.data,0,0);else ft("WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()");else J?Ge&&t.texSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,0,me.width,me.height,Ve.depth,Ze,ct,me.data):t.texImage3D(r.TEXTURE_2D_ARRAY,Xe,K,me.width,me.height,Ve.depth,0,Ze,ct,me.data)}else{J&&je&&t.texStorage2D(r.TEXTURE_2D,at,K,et[0].width,et[0].height);for(let Xe=0,Ue=et.length;Xe0){const Xe=tb(Ve.width,Ve.height,O.format,O.type);for(const Ue of O.layerUpdates){const 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null;return n===jh?r.UNSIGNED_INT_24_8:r[n]!==void 0?r[n]:null}return{convert:t}}const RP=` +void main() { + + gl_Position = vec4( position, 1.0 ); + +}`,NP=` +uniform sampler2DArray depthColor; +uniform float depthWidth; +uniform float depthHeight; + +void main() { + + vec2 coord = vec2( gl_FragCoord.x / depthWidth, gl_FragCoord.y / depthHeight ); + + if ( coord.x >= 1.0 ) { + + gl_FragDepth = texture( depthColor, vec3( coord.x - 1.0, coord.y, 1 ) ).r; + + } else { + + gl_FragDepth = texture( depthColor, vec3( coord.x, coord.y, 0 ) ).r; + + } + +}`;class DP{constructor(){this.texture=null,this.mesh=null,this.depthNear=0,this.depthFar=0}init(e,t){if(this.texture===null){const n=new Pb(e.texture);(e.depthNear!==t.depthNear||e.depthFar!==t.depthFar)&&(this.depthNear=e.depthNear,this.depthFar=e.depthFar),this.texture=n}}getMesh(e){if(this.texture!==null&&this.mesh===null){const t=e.cameras[0].viewport,n=new 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Lo=null;function zP(){return Lo===null&&(Lo=new Yr(PP,16,16,tf,Bo),Lo.name="DFG_LUT",Lo.minFilter=oi,Lo.magFilter=oi,Lo.wrapS=Rs,Lo.wrapT=Rs,Lo.generateMipmaps=!1,Lo.needsUpdate=!0),Lo}class jT{constructor(e={}){const{canvas:t=kE(),context:n=null,depth:s=!0,stencil:u=!1,alpha:f=!1,antialias:h=!1,premultipliedAlpha:m=!0,preserveDrawingBuffer:g=!1,powerPreference:_="default",failIfMajorPerformanceCaveat:x=!1,reversedDepthBuffer:b=!1,outputBufferType:M=ts}=e;this.isWebGLRenderer=!0;let A;if(n!==null){if(typeof WebGLRenderingContext<"u"&&n instanceof WebGLRenderingContext)throw new Error("THREE.WebGLRenderer: WebGL 1 is not supported since r163.");A=n.getContextAttributes().alpha}else A=f;const R=M,w=new Set([My,Sy,wm]),E=new Set([ts,vr,qh,jh,_y,xy]),N=new Uint32Array(4),D=new Int32Array(4);let U=null,B=null;const z=[],H=[];let W=null;this.domElement=t,this.debug={checkShaderErrors:!0,onShaderError:null},this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.sortObjects=!0,this.clippingPlanes=[],this.localClippingEnabled=!1,this.toneMapping=gr,this.toneMappingExposure=1,this.transmissionResolutionScale=1;const I=this;let P=!1;this._outputColorSpace=Ia;let Z=0,se=0,te=null,fe=-1,pe=null;const Y=new jn,q=new jn;let ne=null;const be=new yt(0);let Ne=0,X=t.width,oe=t.height,Ae=1,Fe=null,lt=null;const de=new jn(0,0,X,oe),Re=new jn(0,0,X,oe);let tt=!1;const st=new ad;let ht=!1,jt=!1;const tn=new Xt,Nt=new j,Le=new jn,He={background:null,fog:null,environment:null,overrideMaterial:null,isScene:!0};let Oe=!1;function nt(){return te===null?Ae:1}let Q=n;function Et(k,re){return t.getContext(k,re)}try{const k={alpha:!0,depth:s,stencil:u,antialias:h,premultipliedAlpha:m,preserveDrawingBuffer:g,powerPreference:_,failIfMajorPerformanceCaveat:x};if("setAttribute"in t&&t.setAttribute("data-engine",`three.js r${my}`),t.addEventListener("webglcontextlost",Ct,!1),t.addEventListener("webglcontextrestored",Jt,!1),t.addEventListener("webglcontextcreationerror",nn,!1),Q===null){const re="webgl2";if(Q=Et(re,k),Q===null)throw Et(re)?new Error("Error creating WebGL context with your selected attributes."):new Error("Error creating WebGL context.")}}catch(k){throw Rt("WebGLRenderer: "+k.message),k}let ot,Tt,Qe,G,O,ae,Te,Ie,Ee,dt,Ke,vt,Dt,Ve,Ze,ct,K,me,et,J,je,Ge,at,Xe;function Ue(){ot=new BI(Q),ot.init(),Ge=new qT(Q,ot),Tt=new RI(Q,ot,e,Ge),Qe=new wP(Q,ot),Tt.reversedDepthBuffer&&b&&Qe.buffers.depth.setReversed(!0),G=new VI(Q),O=new hP,ae=new CP(Q,ot,Qe,O,Tt,Ge,G),Te=new DI(I),Ie=new zI(I),Ee=new WD(Q),at=new wI(Q,Ee),dt=new FI(Q,Ee,G,at),Ke=new GI(Q,dt,Ee,G),et=new HI(Q,Tt,ae),ct=new NI(O),vt=new fP(I,Te,Ie,ot,Tt,at,ct),Dt=new IP(I,O),Ve=new pP,Ze=new xP(ot),me=new AI(I,Te,Ie,Qe,Ke,A,m),K=new TP(I,Ke,Tt),Xe=new OP(Q,G,Tt,Qe),J=new CI(Q,ot,G),je=new kI(Q,ot,G),G.programs=vt.programs,I.capabilities=Tt,I.extensions=ot,I.properties=O,I.renderLists=Ve,I.shadowMap=K,I.state=Qe,I.info=G}Ue(),R!==ts&&(W=new WI(R,t.width,t.height,s,u));const Ye=new LP(I,Q);this.xr=Ye,this.getContext=function(){return Q},this.getContextAttributes=function(){return Q.getContextAttributes()},this.forceContextLoss=function(){const k=ot.get("WEBGL_lose_context");k&&k.loseContext()},this.forceContextRestore=function(){const k=ot.get("WEBGL_lose_context");k&&k.restoreContext()},this.getPixelRatio=function(){return Ae},this.setPixelRatio=function(k){k!==void 0&&(Ae=k,this.setSize(X,oe,!1))},this.getSize=function(k){return k.set(X,oe)},this.setSize=function(k,re,Se=!0){if(Ye.isPresenting){ft("WebGLRenderer: Can't change size while VR device is presenting.");return}X=k,oe=re,t.width=Math.floor(k*Ae),t.height=Math.floor(re*Ae),Se===!0&&(t.style.width=k+"px",t.style.height=re+"px"),W!==null&&W.setSize(t.width,t.height),this.setViewport(0,0,k,re)},this.getDrawingBufferSize=function(k){return k.set(X*Ae,oe*Ae).floor()},this.setDrawingBufferSize=function(k,re,Se){X=k,oe=re,Ae=Se,t.width=Math.floor(k*Se),t.height=Math.floor(re*Se),this.setViewport(0,0,k,re)},this.setEffects=function(k){if(R===ts){console.error("THREE.WebGLRenderer: setEffects() requires outputBufferType set to HalfFloatType or FloatType.");return}if(k){for(let re=0;re{function Je(){if(ye.forEach(function(mt){O.get(mt).currentProgram.isReady()&&ye.delete(mt)}),ye.size===0){ue(k);return}setTimeout(Je,10)}ot.get("KHR_parallel_shader_compile")!==null?Je():setTimeout(Je,10)})};let Ho=null;function Jr(k){Ho&&Ho(k)}function xr(){na.stop()}function Go(){na.start()}const na=new VT;na.setAnimationLoop(Jr),typeof self<"u"&&na.setContext(self),this.setAnimationLoop=function(k){Ho=k,Ye.setAnimationLoop(k),k===null?na.stop():na.start()},Ye.addEventListener("sessionstart",xr),Ye.addEventListener("sessionend",Go),this.render=function(k,re){if(re!==void 0&&re.isCamera!==!0){Rt("WebGLRenderer.render: camera is not an instance of THREE.Camera.");return}if(P===!0)return;const Se=Ye.enabled===!0&&Ye.isPresenting===!0,ye=W!==null&&(te===null||Se)&&W.begin(I,te);if(k.matrixWorldAutoUpdate===!0&&k.updateMatrixWorld(),re.parent===null&&re.matrixWorldAutoUpdate===!0&&re.updateMatrixWorld(),Ye.enabled===!0&&Ye.isPresenting===!0&&(W===null||W.isCompositing()===!1)&&(Ye.cameraAutoUpdate===!0&&Ye.updateCamera(re),re=Ye.getCamera()),k.isScene===!0&&k.onBeforeRender(I,k,re,te),B=Ze.get(k,H.length),B.init(re),H.push(B),tn.multiplyMatrices(re.projectionMatrix,re.matrixWorldInverse),st.setFromProjectionMatrix(tn,ks,re.reversedDepth),jt=this.localClippingEnabled,ht=ct.init(this.clippingPlanes,jt),U=Ve.get(k,z.length),U.init(),z.push(U),Ye.enabled===!0&&Ye.isPresenting===!0){const mt=I.xr.getDepthSensingMesh();mt!==null&&Fa(mt,re,-1/0,I.sortObjects)}Fa(k,re,0,I.sortObjects),U.finish(),I.sortObjects===!0&&U.sort(Fe,lt),Oe=Ye.enabled===!1||Ye.isPresenting===!1||Ye.hasDepthSensing()===!1,Oe&&me.addToRenderList(U,k),this.info.render.frame++,ht===!0&&ct.beginShadows();const ue=B.state.shadowsArray;if(K.render(ue,k,re),ht===!0&&ct.endShadows(),this.info.autoReset===!0&&this.info.reset(),(ye&&W.hasRenderPass())===!1){const mt=U.opaque,qe=U.transmissive;if(B.setupLights(),re.isArrayCamera){const _t=re.cameras;if(qe.length>0)for(let xt=0,Lt=_t.length;xt0&&Ri(mt,qe,k,re),Oe&&me.render(k),$n(U,k,re)}te!==null&&se===0&&(ae.updateMultisampleRenderTarget(te),ae.updateRenderTargetMipmap(te)),ye&&W.end(I),k.isScene===!0&&k.onAfterRender(I,k,re),at.resetDefaultState(),fe=-1,pe=null,H.pop(),H.length>0?(B=H[H.length-1],ht===!0&&ct.setGlobalState(I.clippingPlanes,B.state.camera)):B=null,z.pop(),z.length>0?U=z[z.length-1]:U=null};function Fa(k,re,Se,ye){if(k.visible===!1)return;if(k.layers.test(re.layers)){if(k.isGroup)Se=k.renderOrder;else if(k.isLOD)k.autoUpdate===!0&&k.update(re);else if(k.isLight)B.pushLight(k),k.castShadow&&B.pushShadow(k);else if(k.isSprite){if(!k.frustumCulled||st.intersectsSprite(k)){ye&&Le.setFromMatrixPosition(k.matrixWorld).applyMatrix4(tn);const mt=Ke.update(k),qe=k.material;qe.visible&&U.push(k,mt,qe,Se,Le.z,null)}}else if((k.isMesh||k.isLine||k.isPoints)&&(!k.frustumCulled||st.intersectsObject(k))){const mt=Ke.update(k),qe=k.material;if(ye&&(k.boundingSphere!==void 0?(k.boundingSphere===null&&k.computeBoundingSphere(),Le.copy(k.boundingSphere.center)):(mt.boundingSphere===null&&mt.computeBoundingSphere(),Le.copy(mt.boundingSphere.center)),Le.applyMatrix4(k.matrixWorld).applyMatrix4(tn)),Array.isArray(qe)){const _t=mt.groups;for(let xt=0,Lt=_t.length;xt0&&ka(ue,re,Se),Je.length>0&&ka(Je,re,Se),mt.length>0&&ka(mt,re,Se),Qe.buffers.depth.setTest(!0),Qe.buffers.depth.setMask(!0),Qe.buffers.color.setMask(!0),Qe.setPolygonOffset(!1)}function Ri(k,re,Se,ye){if((Se.isScene===!0?Se.overrideMaterial:null)!==null)return;if(B.state.transmissionRenderTarget[ye.id]===void 0){const Pt=ot.has("EXT_color_buffer_half_float")||ot.has("EXT_color_buffer_float");B.state.transmissionRenderTarget[ye.id]=new Hs(1,1,{generateMipmaps:!0,type:Pt?Bo:ts,minFilter:Io,samples:Tt.samples,stencilBuffer:u,resolveDepthBuffer:!1,resolveStencilBuffer:!1,colorSpace:Sn.workingColorSpace})}const Je=B.state.transmissionRenderTarget[ye.id],mt=ye.viewport||Y;Je.setSize(mt.z*I.transmissionResolutionScale,mt.w*I.transmissionResolutionScale);const qe=I.getRenderTarget(),_t=I.getActiveCubeFace(),xt=I.getActiveMipmapLevel();I.setRenderTarget(Je),I.getClearColor(be),Ne=I.getClearAlpha(),Ne<1&&I.setClearColor(16777215,.5),I.clear(),Oe&&me.render(Se);const Lt=I.toneMapping;I.toneMapping=gr;const St=ye.viewport;if(ye.viewport!==void 0&&(ye.viewport=void 0),B.setupLightsView(ye),ht===!0&&ct.setGlobalState(I.clippingPlanes,ye),ka(k,Se,ye),ae.updateMultisampleRenderTarget(Je),ae.updateRenderTargetMipmap(Je),ot.has("WEBGL_multisampled_render_to_texture")===!1){let Pt=!1;for(let Mn=0,Bn=re.length;Mn0),St=!!Se.morphAttributes.position,Pt=!!Se.morphAttributes.normal,Mn=!!Se.morphAttributes.color;let Bn=gr;ye.toneMapped&&(te===null||te.isXRRenderTarget===!0)&&(Bn=I.toneMapping);const In=Se.morphAttributes.position||Se.morphAttributes.normal||Se.morphAttributes.color,Wt=In!==void 0?In.length:0,ut=O.get(ye),_n=B.state.lights;if(ht===!0&&(jt===!0||k!==pe)){const Fi=k===pe&&ye.id===fe;ct.setState(ye,k,Fi)}let Ft=!1;ye.version===ut.__version?(ut.needsLights&&ut.lightsStateVersion!==_n.state.version||ut.outputColorSpace!==qe||ue.isBatchedMesh&&ut.batching===!1||!ue.isBatchedMesh&&ut.batching===!0||ue.isBatchedMesh&&ut.batchingColor===!0&&ue.colorTexture===null||ue.isBatchedMesh&&ut.batchingColor===!1&&ue.colorTexture!==null||ue.isInstancedMesh&&ut.instancing===!1||!ue.isInstancedMesh&&ut.instancing===!0||ue.isSkinnedMesh&&ut.skinning===!1||!ue.isSkinnedMesh&&ut.skinning===!0||ue.isInstancedMesh&&ut.instancingColor===!0&&ue.instanceColor===null||ue.isInstancedMesh&&ut.instancingColor===!1&&ue.instanceColor!==null||ue.isInstancedMesh&&ut.instancingMorph===!0&&ue.morphTexture===null||ue.isInstancedMesh&&ut.instancingMorph===!1&&ue.morphTexture!==null||ut.envMap!==_t||ye.fog===!0&&ut.fog!==Je||ut.numClippingPlanes!==void 0&&(ut.numClippingPlanes!==ct.numPlanes||ut.numIntersection!==ct.numIntersection)||ut.vertexAlphas!==xt||ut.vertexTangents!==Lt||ut.morphTargets!==St||ut.morphNormals!==Pt||ut.morphColors!==Mn||ut.toneMapping!==Bn||ut.morphTargetsCount!==Wt)&&(Ft=!0):(Ft=!0,ut.__version=ye.version);let xi=ut.currentProgram;Ft===!0&&(xi=Ha(ye,re,ue));let Ls=!1,Wn=!1,la=!1;const An=xi.getUniforms(),Ni=ut.uniforms;if(Qe.useProgram(xi.program)&&(Ls=!0,Wn=!0,la=!0),ye.id!==fe&&(fe=ye.id,Wn=!0),Ls||pe!==k){Qe.buffers.depth.getReversed()&&k.reversedDepth!==!0&&(k._reversedDepth=!0,k.updateProjectionMatrix()),An.setValue(Q,"projectionMatrix",k.projectionMatrix),An.setValue(Q,"viewMatrix",k.matrixWorldInverse);const ki=An.map.cameraPosition;ki!==void 0&&ki.setValue(Q,Nt.setFromMatrixPosition(k.matrixWorld)),Tt.logarithmicDepthBuffer&&An.setValue(Q,"logDepthBufFC",2/(Math.log(k.far+1)/Math.LN2)),(ye.isMeshPhongMaterial||ye.isMeshToonMaterial||ye.isMeshLambertMaterial||ye.isMeshBasicMaterial||ye.isMeshStandardMaterial||ye.isShaderMaterial)&&An.setValue(Q,"isOrthographic",k.isOrthographicCamera===!0),pe!==k&&(pe=k,Wn=!0,la=!0)}if(ut.needsLights&&(_n.state.directionalShadowMap.length>0&&An.setValue(Q,"directionalShadowMap",_n.state.directionalShadowMap,ae),_n.state.spotShadowMap.length>0&&An.setValue(Q,"spotShadowMap",_n.state.spotShadowMap,ae),_n.state.pointShadowMap.length>0&&An.setValue(Q,"pointShadowMap",_n.state.pointShadowMap,ae)),ue.isSkinnedMesh){An.setOptional(Q,ue,"bindMatrix"),An.setOptional(Q,ue,"bindMatrixInverse");const Fi=ue.skeleton;Fi&&(Fi.boneTexture===null&&Fi.computeBoneTexture(),An.setValue(Q,"boneTexture",Fi.boneTexture,ae))}ue.isBatchedMesh&&(An.setOptional(Q,ue,"batchingTexture"),An.setValue(Q,"batchingTexture",ue._matricesTexture,ae),An.setOptional(Q,ue,"batchingIdTexture"),An.setValue(Q,"batchingIdTexture",ue._indirectTexture,ae),An.setOptional(Q,ue,"batchingColorTexture"),ue._colorsTexture!==null&&An.setValue(Q,"batchingColorTexture",ue._colorsTexture,ae));const bi=Se.morphAttributes;if((bi.position!==void 0||bi.normal!==void 0||bi.color!==void 0)&&et.update(ue,Se,xi),(Wn||ut.receiveShadow!==ue.receiveShadow)&&(ut.receiveShadow=ue.receiveShadow,An.setValue(Q,"receiveShadow",ue.receiveShadow)),ye.isMeshGouraudMaterial&&ye.envMap!==null&&(Ni.envMap.value=_t,Ni.flipEnvMap.value=_t.isCubeTexture&&_t.isRenderTargetTexture===!1?-1:1),ye.isMeshStandardMaterial&&ye.envMap===null&&re.environment!==null&&(Ni.envMapIntensity.value=re.environmentIntensity),Ni.dfgLUT!==void 0&&(Ni.dfgLUT.value=zP()),Wn&&(An.setValue(Q,"toneMappingExposure",I.toneMappingExposure),ut.needsLights&&br(Ni,la),Je&&ye.fog===!0&&Dt.refreshFogUniforms(Ni,Je),Dt.refreshMaterialUniforms(Ni,ye,Ae,oe,B.state.transmissionRenderTarget[k.id]),mv.upload(Q,$r(ut),Ni,ae)),ye.isShaderMaterial&&ye.uniformsNeedUpdate===!0&&(mv.upload(Q,$r(ut),Ni,ae),ye.uniformsNeedUpdate=!1),ye.isSpriteMaterial&&An.setValue(Q,"center",ue.center),An.setValue(Q,"modelViewMatrix",ue.modelViewMatrix),An.setValue(Q,"normalMatrix",ue.normalMatrix),An.setValue(Q,"modelMatrix",ue.matrixWorld),ye.isShaderMaterial||ye.isRawShaderMaterial){const Fi=ye.uniformsGroups;for(let ki=0,Wo=Fi.length;ki0&&ae.useMultisampledRTT(k)===!1?ye=O.get(k).__webglMultisampledFramebuffer:Array.isArray(xt)?ye=xt[Se]:ye=xt,Y.copy(k.viewport),q.copy(k.scissor),ne=k.scissorTest}else Y.copy(de).multiplyScalar(Ae).floor(),q.copy(Re).multiplyScalar(Ae).floor(),ne=tt;if(Se!==0&&(ye=Mr),Qe.bindFramebuffer(Q.FRAMEBUFFER,ye)&&Qe.drawBuffers(k,ye),Qe.viewport(Y),Qe.scissor(q),Qe.setScissorTest(ne),ue){const qe=O.get(k.texture);Q.framebufferTexture2D(Q.FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_CUBE_MAP_POSITIVE_X+re,qe.__webglTexture,Se)}else if(Je){const qe=re;for(let _t=0;_t=0&&re<=k.width-ye&&Se>=0&&Se<=k.height-ue&&(k.textures.length>1&&Q.readBuffer(Q.COLOR_ATTACHMENT0+qe),Q.readPixels(re,Se,ye,ue,Ge.convert(Lt),Ge.convert(St),Je))}finally{const xt=te!==null?O.get(te).__webglFramebuffer:null;Qe.bindFramebuffer(Q.FRAMEBUFFER,xt)}}},this.readRenderTargetPixelsAsync=async function(k,re,Se,ye,ue,Je,mt,qe=0){if(!(k&&k.isWebGLRenderTarget))throw new Error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");let _t=O.get(k).__webglFramebuffer;if(k.isWebGLCubeRenderTarget&&mt!==void 0&&(_t=_t[mt]),_t)if(re>=0&&re<=k.width-ye&&Se>=0&&Se<=k.height-ue){Qe.bindFramebuffer(Q.FRAMEBUFFER,_t);const xt=k.textures[qe],Lt=xt.format,St=xt.type;if(!Tt.textureFormatReadable(Lt))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in RGBA or implementation defined format.");if(!Tt.textureTypeReadable(St))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in UnsignedByteType or implementation defined type.");const Pt=Q.createBuffer();Q.bindBuffer(Q.PIXEL_PACK_BUFFER,Pt),Q.bufferData(Q.PIXEL_PACK_BUFFER,Je.byteLength,Q.STREAM_READ),k.textures.length>1&&Q.readBuffer(Q.COLOR_ATTACHMENT0+qe),Q.readPixels(re,Se,ye,ue,Ge.convert(Lt),Ge.convert(St),0);const Mn=te!==null?O.get(te).__webglFramebuffer:null;Qe.bindFramebuffer(Q.FRAMEBUFFER,Mn);const Bn=Q.fenceSync(Q.SYNC_GPU_COMMANDS_COMPLETE,0);return Q.flush(),await q3(Q,Bn,4),Q.bindBuffer(Q.PIXEL_PACK_BUFFER,Pt),Q.getBufferSubData(Q.PIXEL_PACK_BUFFER,0,Je),Q.deleteBuffer(Pt),Q.deleteSync(Bn),Je}else throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: requested read bounds are out of range.")},this.copyFramebufferToTexture=function(k,re=null,Se=0){const ye=Math.pow(2,-Se),ue=Math.floor(k.image.width*ye),Je=Math.floor(k.image.height*ye),mt=re!==null?re.x:0,qe=re!==null?re.y:0;ae.setTexture2D(k,0),Q.copyTexSubImage2D(Q.TEXTURE_2D,Se,0,0,mt,qe,ue,Je),Qe.unbindTexture()};const eo=Q.createFramebuffer(),Xs=Q.createFramebuffer();this.copyTextureToTexture=function(k,re,Se=null,ye=null,ue=0,Je=null){Je===null&&(ue!==0?(Zh("WebGLRenderer: copyTextureToTexture function signature has changed to support src and dst mipmap levels."),Je=ue,ue=0):Je=0);let mt,qe,_t,xt,Lt,St,Pt,Mn,Bn;const In=k.isCompressedTexture?k.mipmaps[Je]:k.image;if(Se!==null)mt=Se.max.x-Se.min.x,qe=Se.max.y-Se.min.y,_t=Se.isBox3?Se.max.z-Se.min.z:1,xt=Se.min.x,Lt=Se.min.y,St=Se.isBox3?Se.min.z:0;else{const bi=Math.pow(2,-ue);mt=Math.floor(In.width*bi),qe=Math.floor(In.height*bi),k.isDataArrayTexture?_t=In.depth:k.isData3DTexture?_t=Math.floor(In.depth*bi):_t=1,xt=0,Lt=0,St=0}ye!==null?(Pt=ye.x,Mn=ye.y,Bn=ye.z):(Pt=0,Mn=0,Bn=0);const Wt=Ge.convert(re.format),ut=Ge.convert(re.type);let _n;re.isData3DTexture?(ae.setTexture3D(re,0),_n=Q.TEXTURE_3D):re.isDataArrayTexture||re.isCompressedArrayTexture?(ae.setTexture2DArray(re,0),_n=Q.TEXTURE_2D_ARRAY):(ae.setTexture2D(re,0),_n=Q.TEXTURE_2D),Q.pixelStorei(Q.UNPACK_FLIP_Y_WEBGL,re.flipY),Q.pixelStorei(Q.UNPACK_PREMULTIPLY_ALPHA_WEBGL,re.premultiplyAlpha),Q.pixelStorei(Q.UNPACK_ALIGNMENT,re.unpackAlignment);const Ft=Q.getParameter(Q.UNPACK_ROW_LENGTH),xi=Q.getParameter(Q.UNPACK_IMAGE_HEIGHT),Ls=Q.getParameter(Q.UNPACK_SKIP_PIXELS),Wn=Q.getParameter(Q.UNPACK_SKIP_ROWS),la=Q.getParameter(Q.UNPACK_SKIP_IMAGES);Q.pixelStorei(Q.UNPACK_ROW_LENGTH,In.width),Q.pixelStorei(Q.UNPACK_IMAGE_HEIGHT,In.height),Q.pixelStorei(Q.UNPACK_SKIP_PIXELS,xt),Q.pixelStorei(Q.UNPACK_SKIP_ROWS,Lt),Q.pixelStorei(Q.UNPACK_SKIP_IMAGES,St);const An=k.isDataArrayTexture||k.isData3DTexture,Ni=re.isDataArrayTexture||re.isData3DTexture;if(k.isDepthTexture){const bi=O.get(k),Fi=O.get(re),ki=O.get(bi.__renderTarget),Wo=O.get(Fi.__renderTarget);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,ki.__webglFramebuffer),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,Wo.__webglFramebuffer);for(let rs=0;rs<_t;rs++)An&&(Q.framebufferTextureLayer(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,O.get(k).__webglTexture,ue,St+rs),Q.framebufferTextureLayer(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,O.get(re).__webglTexture,Je,Bn+rs)),Q.blitFramebuffer(xt,Lt,mt,qe,Pt,Mn,mt,qe,Q.DEPTH_BUFFER_BIT,Q.NEAREST);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,null),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,null)}else if(ue!==0||k.isRenderTargetTexture||O.has(k)){const bi=O.get(k),Fi=O.get(re);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,eo),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,Xs);for(let ki=0;ki<_t;ki++)An?Q.framebufferTextureLayer(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,bi.__webglTexture,ue,St+ki):Q.framebufferTexture2D(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_2D,bi.__webglTexture,ue),Ni?Q.framebufferTextureLayer(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Fi.__webglTexture,Je,Bn+ki):Q.framebufferTexture2D(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_2D,Fi.__webglTexture,Je),ue!==0?Q.blitFramebuffer(xt,Lt,mt,qe,Pt,Mn,mt,qe,Q.COLOR_BUFFER_BIT,Q.NEAREST):Ni?Q.copyTexSubImage3D(_n,Je,Pt,Mn,Bn+ki,xt,Lt,mt,qe):Q.copyTexSubImage2D(_n,Je,Pt,Mn,xt,Lt,mt,qe);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,null),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,null)}else 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Error(s(387));var C=l.pendingProps;T=l.memoizedState,v=T.element,ka(o,l),br(l,C,null,p);var F=l.memoizedState;if(C=F.cache,Oe(l,Kn,C),C!==T.cache&&Et(l,[Kn],p,!0),Ds(),C=F.element,Zn&&T.isDehydrated)if(T={element:C,isDehydrated:!1,cache:F.cache},l.updateQueue.baseState=T,l.memoizedState=T,l.flags&256){l=$m(o,l,C,p);break e}else if(C!==v){v=be(Error(s(424)),l),He(v),l=$m(o,l,C,p);break e}else for(Zn&&(Qn=Ig(l.stateNode.containerInfo),Ui=l,dn=!0,or=null,pa=!0),p=xp(l,null,C,p),l.child=p;p;)p.flags=p.flags&-3|4096,p=p.sibling;else{if(Nt(),C===v){l=qs(o,l,p);break e}Zi(o,l,C,p)}l=l.child}return l;case 26:if(ms)return Qu(o,l),o===null?(p=up(l.type,null,l.pendingProps,null))?l.memoizedState=p:dn||(l.stateNode=Kf(l.type,l.pendingProps,Ki.current,l)):l.memoizedState=up(l.type,o.memoizedProps,l.pendingProps,o.memoizedState),null;case 27:if(Li)return Re(l),o===null&&Li&&dn&&(v=l.stateNode=Jf(l.type,l.pendingProps,Ki.current,Xi.current,!1),Ui=l,pa=!0,Qn=ip(l.type,v,Qn)),Zi(o,l,l.pendingProps.children,p),Qu(o,l),o===null&&(l.flags|=4194304),l.child;case 5:return o===null&&dn&&(Yg(l.type,l.pendingProps,Xi.current),(T=v=Qn)&&(v=zg(v,l.type,l.pendingProps,pa),v!==null?(l.stateNode=v,Ui=l,Qn=Ug(v),pa=!1,T=!0):T=!1),T||st(l)),Re(l),T=l.type,C=l.pendingProps,F=o!==null?o.memoizedProps:null,v=C.children,da(T,C)?v=null:F!==null&&da(T,F)&&(l.flags|=32),l.memoizedState!==null&&(T=xt(o,l,Pt,null,null,p),hi?ll._currentValue=T:ll._currentValue2=T),Qu(o,l),Zi(o,l,v,p),l.child;case 6:return o===null&&dn&&(lp(l.pendingProps,Xi.current),(o=p=Qn)&&(p=Bg(p,l.pendingProps,pa),p!==null?(l.stateNode=p,Ui=l,Qn=null,o=!0):o=!1),o||st(l)),null;case 13:return bd(o,l,p);case 4:return lt(l,l.stateNode.containerInfo),v=l.pendingProps,o===null?l.child=Ji(l,null,v,p):Zi(o,l,v,p),l.child;case 11:return Ym(o,l,l.type,l.pendingProps,p);case 7:return Zi(o,l,l.pendingProps,p),l.child;case 8:return Zi(o,l,l.pendingProps.children,p),l.child;case 12:return Zi(o,l,l.pendingProps.children,p),l.child;case 10:return v=l.pendingProps,Oe(l,l.type,v.value),Zi(o,l,v.children,p),l.child;case 9:return T=l.type._context,v=l.pendingProps.children,Qe(l),T=G(T),v=v(T),l.flags|=1,Zi(o,l,v,p),l.child;case 14:return Zm(o,l,l.type,l.pendingProps,p);case 15:return Qm(o,l,l.type,l.pendingProps,p);case 19:return Sd(o,l,p);case 31:return Jm(o,l,p);case 22:return Km(o,l,p,l.pendingProps);case 24:return Qe(l),v=G(Kn),o===null?(T=Ge(),T===null&&(T=rn,C=Te(),T.pooledCache=C,C.refCount++,C!==null&&(T.pooledCacheLanes|=p),T=C),l.memoizedState={parent:v,cache:T},Ri(l),Oe(l,Kn,T)):((o.lanes&p)!==0&&(ka(o,l),br(l,null,null,p),Ds()),T=o.memoizedState,C=l.memoizedState,T.parent!==v?(T={parent:v,cache:v},l.memoizedState=T,l.lanes===0&&(l.memoizedState=l.updateQueue.baseState=T),Oe(l,Kn,v)):(v=C.cache,Oe(l,Kn,v),v!==T.cache&&Et(l,[Kn],p,!0))),Zi(o,l,l.pendingProps.children,p),l.child;case 29:throw l.pendingProps}throw Error(s(156,l.tag))}function os(o){o.flags|=4}function Ju(o){ja&&(o.flags|=8)}function tg(o,l){if(o!==null&&o.child===l.child)return!1;if((l.flags&16)!==0)return!0;for(o=l.child;o!==null;){if((o.flags&8218)!==0||(o.subtreeFlags&8218)!==0)return!0;o=o.sibling}return!1}function Td(o,l,p,v){if(gn)for(p=l.child;p!==null;){if(p.tag===5||p.tag===6)hc(o,p.stateNode);else 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if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)T=C.child,T!==null&&(T.return=C),ng(o,C,!0,!0),T=!0;else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===l)break;for(;C.sibling===null;){if(C.return===null||C.return===l)return T;C=C.return}C.sibling.return=C.return,C=C.sibling}return T}function ig(o,l){if(ja&&tg(o,l)){o=l.stateNode;var p=o.containerInfo,v=Jd();ng(v,l,!1,!1),o.pendingChildren=v,os(l),Cg(p,v)}}function Ad(o,l,p,v){if(gn)o.memoizedProps!==v&&os(l);else if(ja){var T=o.stateNode,C=o.memoizedProps;if((o=tg(o,l))||C!==v){var F=Xi.current;C=wg(T,p,C,v,!o,null),C===T?l.stateNode=T:(Ju(l),Ma(C,p,v,F)&&os(l),l.stateNode=C,o&&Td(C,l,!1,!1))}else l.stateNode=T}}function ca(o,l,p,v,T){if((o.mode&32)!==0&&(p===null?dc(l,v):su(l,p,v))){if(o.flags|=16777216,(T&335544128)===T||Vd(l,v))if(ni(o.stateNode,l,v))o.flags|=8192;else if(mn())o.flags|=8192;else throw ma=lr,uh}else o.flags&=-16777217}function Hl(o,l){if(dp(l)){if(o.flags|=16777216,!pp(l))if(mn())o.flags|=8192;else throw ma=lr,uh}else o.flags&=-16777217}function $u(o,l){l!==null&&(o.flags|=4),o.flags&16384&&(l=o.tag!==22?U():536870912,o.lanes|=l,pu|=l)}function Gl(o,l){if(!dn)switch(o.tailMode){case"hidden":l=o.tail;for(var p=null;l!==null;)l.alternate!==null&&(p=l),l=l.sibling;p===null?o.tail=null:p.sibling=null;break;case"collapsed":p=o.tail;for(var v=null;p!==null;)p.alternate!==null&&(v=p),p=p.sibling;v===null?l||o.tail===null?o.tail=null:o.tail.sibling=null:v.sibling=null}}function Fn(o){var l=o.alternate!==null&&o.alternate.child===o.child,p=0,v=0;if(l)for(var T=o.child;T!==null;)p|=T.lanes|T.childLanes,v|=T.subtreeFlags&65011712,v|=T.flags&65011712,T.return=o,T=T.sibling;else for(T=o.child;T!==null;)p|=T.lanes|T.childLanes,v|=T.subtreeFlags,v|=T.flags,T.return=o,T=T.sibling;return o.subtreeFlags|=v,o.childLanes=p,l}function ag(o,l,p){var v=l.pendingProps;switch(Ae(l),l.tag){case 16:case 15:case 0:case 11:case 7:case 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Photons - light from distant galaxies - strike the CCD and light up specific pixels. This is the raw material for the everything a telescope does."},fe={stepLabel:"Step 1",title:"Photons are hitting the detector",body:"Notice how some pixels are bigger than others? They have more energy."};function ve(){return e.jsx("div",{className:"ccd-intro-screen",children:e.jsxs("div",{className:"ccd-intro-panel",children:[e.jsx("div",{className:"ccd-intro-logo-frame","aria-hidden":"true",children:e.jsx("img",{alt:"",className:"ccd-intro-logo",src:"/glitchhunterlogo.png"})}),e.jsx("div",{className:"ccd-intro-brand",children:e.jsx("span",{className:"ccd-intro-brand-mark",children:"Glitch Hunter's"})}),e.jsxs("div",{className:"ccd-intro-copy",children:[e.jsx("h2",{children:"Guide to Telescopes"}),e.jsx("p",{children:"How do they work? 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Violet means short wavelength and high energy."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Periodogram"}),e.jsx("p",{children:"How the brightness goes up and down over time."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Spectrogram"}),e.jsx("p",{children:"How much there is of each colour."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Periodo-spectrogram"}),e.jsx("p",{children:"Binning by both time and wavelength / frequency."})]})]}),e.jsx("p",{className:"ccd-closing-message",children:"You're on your way to becoming a Cosmotologist!"}),e.jsxs("div",{className:"ccd-closing-actions",children:[e.jsx("a",{className:"ccd-experience-button ccd-experience-button-secondary",href:"#orbit",children:"Start Over"}),e.jsx("button",{className:"ccd-experience-button",onClick:()=>{t?.({success:!0,score:100,data:{completedExperience:"ccd-photon-explorer",finalPage:"closing"}})},type:"button",children:"Take the Glitch Gate"})]})]})})}function Ne({page:t}){const n=U[t];return e.jsx("div",{className:"ccd-transition-screen",children:e.jsxs("div",{className:"ccd-transition-card",children:[e.jsx("span",{className:"ccd-stat-label emojilarge",children:n.emoji}),e.jsx("h2",{children:n.title}),e.jsx("p",{children:n.body}),e.jsx("div",{className:"ccd-transition-actions",children:e.jsx("a",{className:"ccd-experience-button",href:`#${n.nextPage}`,children:"Next"})})]})})}const D={eyebrow:"",title:"Space telescope 101",description:"In this interactive tutorial, you will see how photons hit eye of the telescope, and how that is turned into turned into different scientific charts. We`ll cover:"};function we(){const[t,n]=o.useState(.5),s=ie(t),a=B(s.hue,s.saturation,s.lightness,.98);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-energy-panel",children:[e.jsxs("div",{className:"ccd-energy-scale",children:[e.jsx("div",{className:"ccd-energy-spectrum","aria-hidden":"true",style:{"--ccd-spectrum-position":`${t*100}%`,"--ccd-spectrum-color":a}}),e.jsx("div",{className:"ccd-energy-slider-wrap",children:e.jsx("input",{"aria-label":"Photon wavelength and energy slider",className:"ccd-energy-slider",max:1,min:0,onChange:c=>n(Number(c.target.value)),step:.001,type:"range",value:t})}),e.jsxs("div",{className:"ccd-energy-scale-labels",children:[e.jsx("span",{children:"Longer wavelength"}),e.jsx("span",{children:"Shorter wavelength"})]}),e.jsxs("div",{className:"ccd-energy-scale-labels ccd-energy-scale-labels-strong",children:[e.jsx("span",{children:"Red, lower energy"}),e.jsx("span",{children:"Violet, higher energy"})]})]}),e.jsxs("div",{className:"ccd-energy-readout",children:[e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Selected colour"}),e.jsx("strong",{style:{color:a},children:s.label})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Wavelength"}),e.jsxs("strong",{children:[s.wavelength.toFixed(0)," nm"]})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Energy"}),e.jsxs("strong",{children:[s.energy.toFixed(2)," units"]})]})]})]})})}const Ee={eyebrow:"Photon Energy And Wavelength",title:"Photon colour maps to wavelength",description:"Each hit has energy and wavelength. Red means longer wavelength and lower energy, while violet means shorter wavelength and higher energy. Wavelength is mesaured in nano-meters (nm). One nanometer is one billionth of a meter - about the size of a virus. The visible spectrum ranges from around 380 nm (violet) to 750 nm (red). But telescopes can see beyond that, into high-energy ultraviolet and infrared wavelengths that our eyes can´t detect."},Se={stepLabel:"Colour has meaning",title:"One photon, one observation",body:"In this demo, whenever you see the 🟣 colour, it indicates high energy - short wavelength. 🔴 is lower energy, but longer wavelength. "};function Pe({type:t}){if(t==="count-wavelength-time")return e.jsx("div",{className:"ccd-mini-diagram ccd-mini-diagram-grid","aria-hidden":"true",children:Array.from({length:12},(s,a)=>e.jsx("span",{className:"ccd-mini-diagram-grid-cell",style:{opacity:.28+a%4*.14}},a))});const n=t==="count-time"?[.28,.58,.38,.76,.46,.66]:t==="energy-time"?[.22,.5,.42,.88,.56,.72]:[.2,.32,.48,.84,.6,.3];return e.jsx("div",{className:"ccd-mini-diagram","aria-hidden":"true",children:n.map((s,a)=>e.jsx("span",{className:`ccd-mini-diagram-bar${t!=="count-time"?" is-energy":""}`,style:{height:`${s*100}%`}},a))})}function Ce({page:t,onSelect:n,showGuide:s,onToggleGuide:a}){const c=t==="receptor",r=t==="photon",i=t==="eventlist";return e.jsxs("section",{className:"ccd-selector","aria-label":"Visualization selector",children:[e.jsxs("div",{className:"ccd-selector-root",children:[e.jsx("span",{className:"ccd-stat-label",children:"These plots are different ways of binning the same event list."}),e.jsx("p",{children:"Everything begins with the CCD receiving photons. Those hits become rows in an event list. After that, different binning rules produce different plots."})]}),e.jsxs("div",{className:"ccd-selector-raw",children:[e.jsxs("a",{className:`ccd-selector-link${c?" is-active":""}`,href:"#receptor",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Raw data"}),e.jsx("strong",{children:"1. Photons hit CCD pixels"}),e.jsx("span",{children:"This is the detector plane: the spatial pattern of hits on the telescope CCD."})]}),e.jsxs("a",{className:`ccd-selector-link${r?" is-active":""}`,href:"#photon",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Photon properties"}),e.jsx("strong",{children:"2. Colour indicates wavelength and energy"}),e.jsx("span",{children:"Red means lower energy and violet means higher energy, which is why later plots can bin by wavelength."})]}),e.jsxs("a",{className:`ccd-selector-link${i?" is-active":""}`,href:"#eventlist",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Recorded data"}),e.jsx("strong",{children:"3. Each hit becomes a row: time, energy, x, y"}),e.jsx("span",{children:"This is the FITS-style event table. Every later diagram is derived from these same rows."})]})]}),e.jsx("div",{className:"ccd-selector-section",children:e.jsxs("div",{className:"ccd-selector-axis",children:[e.jsx("span",{className:"ccd-stat-label",children:"4. Choose a binning rule"}),e.jsx("strong",{children:"Derived view: binned visualization"}),e.jsx("p",{children:"These plots are different ways of grouping the same event rows."})]})}),e.jsx("div",{className:"ccd-selector-results",children:ee.map(d=>e.jsxs("a",{className:`ccd-selector-leaf${d.page===t?" is-active":""}`,href:`#${d.page}`,onClick:n,children:[e.jsx("span",{className:"ccd-selector-leaf-dim",children:"Input: same event list"}),e.jsx(Pe,{type:d.diagram}),e.jsx("strong",{children:d.title}),e.jsxs("span",{children:["Rule: ",d.rule]}),e.jsxs("span",{children:["Output: ",d.output]})]},d.page))}),e.jsxs("div",{className:"ccd-selector-current",children:[e.jsx("span",{className:"ccd-stat-label",children:"Recording"}),e.jsx("button",{className:`ccd-selector-option${s?" is-active":""}`,onClick:a,type:"button",children:s?"Guide overlay on":"Guide overlay off"})]})]})}function Te(t){switch(t){case"intro":return D;case"receptor":return je;case"photon":return Ee;case"eventlist":return ke;case"binning":return We;case"flux":return De;case"periodogram":return Le;case"spectrogram":return $e;case"closing":return D;default:return D}}function Ae(t){switch(t){case"intro":return null;case"receptor":return fe;case"photon":return Se;case"eventlist":return Ge;case"binning":return Ye;case"flux":return Be;case"periodogram":return _e;case"spectrogram":return He}}function Me({page:t}){const n=I.indexOf(t),s=n>0?I[n-1]:null,a=n>=0&&n{const r=ue(a.cellIndex),i=(a.time-n)/1e3;return j[a.photonIndex],e.jsxs("div",{className:"ccd-event-table",children:[e.jsx("span",{children:i.toFixed(3)}),e.jsx("span",{style:{color:k(a.photonIndex,.92)},children:a.energy.toFixed(2)}),e.jsx("span",{children:String(r.x).padStart(2,"0")}),e.jsx("span",{children:String(r.y).padStart(2,"0")})]},`${a.time}-${a.cellIndex}-${c}`)}),s.length===0?e.jsxs("div",{className:"ccd-event-table ccd-event-table-empty",children:[e.jsx("span",{children:"No rows yet"}),e.jsx("span",{children:"Waiting"}),e.jsx("span",{children:"--"}),e.jsx("span",{children:"--"})]}):null]})]}),e.jsx("div",{className:"ccd-flux-legend",children:j.map((a,c)=>e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-legend-dot",style:{background:k(c,.92),boxShadow:`0 0 0.8rem ${k(c,.56)}`}}),e.jsx("span",{children:a.label})]},a.label))})]})})}const ke={eyebrow:"FITS Event Table",title:"Photon event list view",description:"The clicks are recorded in a table, called the event list, with the time, energy, and CCD pixel position."},Ge={stepLabel:"Step 3",title:"Each hit becomes a row in the event list",body:"Astronomy pipelines often save these events as FITS tables. This is the raw data you can download from Telescopes like Chandra!"};function Ie({spectralEnergy:t}){const n=Math.max(...t,.01),s=t.reduce((a,c)=>a+c,0)||1;return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Integrated over last 12 completed 1.0 s bins"}),e.jsxs("strong",{children:[s.toFixed(2)," total energy units"]})]}),e.jsx("div",{className:"ccd-periodogram","aria-label":"Periodogram chart",children:j.map((a,c)=>{const r=G(t[c]/n,0,1),i=t[c]/s;return e.jsxs("div",{className:"ccd-periodogram-band",children:[e.jsx("div",{className:"ccd-bar-shell",children:e.jsx("div",{className:"ccd-bar-fill",style:{height:`${18+r*82}%`,background:`linear-gradient(180deg, ${k(c,.55)}, ${k(c,1)})`,boxShadow:`0 0 1.4rem ${k(c,.72)}`}})}),e.jsxs("div",{className:"ccd-band-meta",children:[e.jsx("strong",{children:a.shortLabel}),e.jsxs("span",{children:[a.wavelength," nm"]}),e.jsxs("span",{children:[t[c].toFixed(2)," E"]}),e.jsxs("span",{children:[(i*100).toFixed(1),"%"]})]})]},a.label)})})]})})}const Le={eyebrow:"Spectral power",title:"Spectrogram of energy",description:"We put low-energy on the left, and high energy on the right. The energy of all the photons in each frequency bin integrated over some period (here last 12 secs) gives us the shape of the spectrum during that time."},_e={stepLabel:"Step 6",title:"Spectral power",body:"Spectral power reveals the energy distribution, and it´s very important for many applications. It can tell us a lot about how stars work"};function Oe({spectrogramBins:t}){const n=Math.max(...t.flat(),1);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Clicks per 1.0 s time bin"}),e.jsxs("strong",{children:[L," time bins x ",j.length," frequency bins"]})]}),e.jsxs("div",{className:"ccd-spectrogram-shell",children:[e.jsx("div",{className:"ccd-spectrogram-axis",children:j.map(s=>e.jsx("span",{children:s.label},s.label))}),e.jsx("div",{className:"ccd-spectrogram","aria-label":"Spectrogram heat map",children:j.map((s,a)=>e.jsx("div",{className:"ccd-spectrogram-row",children:t[a].map((c,r)=>e.jsx("span",{className:"ccd-spectrogram-cell",style:{background:k(a,c/n),boxShadow:c>0?`0 0 0.8rem ${k(a,c/n)}`:"none"}},`${s.label}-${r}`))},s.label))})]}),e.jsxs("div",{className:"ccd-spectrogram-footer",children:[e.jsx("span",{children:"Earlier"}),e.jsx("span",{children:"Now"})]})]})})}const $e={eyebrow:"Frequency X Time",title:"Periodo-spectro-gram!",description:"You can play around with the same data and make many charts! This shows the energy arriving during each time bin for each frequency bin!"},He={stepLabel:"Step 7",title:"Binned by time and frequency",body:"Is it useful? Maybe not for a lot of applications, but it looks pretty!"};function Fe({fluxBins:t}){const n=t.some(y=>y>0)?t:[1.2,1.8,1.4,2.1,1.7,1.5,2.3,1.6,1.9,1.4,2,1.7],s=n.map((y,v)=>{const h=n.slice(0,v+1);return h.reduce((T,R)=>T+R,0)/h.length}),a=n[n.length-1]??0,c=n.reduce((y,v)=>y+v,0)/n.length,r=n.reduce((y,v)=>y+(v-c)**2,0)/n.length,i=Math.sqrt(r),d=Math.min(...n),p=Math.max(...n),u=Math.min(...s),m=Math.max(...s),N={min:Math.min(d,u),max:Math.max(p,m)},f=V(n,760,240,N),M=re(n,760,240,N),C=V(s,760,240,N);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Total energy per 1.0 s bin"}),e.jsxs("strong",{children:[a.toFixed(2)," energy units in latest bin"]})]}),e.jsxs("div",{className:"ccd-flux-chart-shell",children:[e.jsxs("svg",{className:"ccd-flux-chart",viewBox:"0 0 760 240","aria-label":"Total flux variability chart",preserveAspectRatio:"none",children:[e.jsxs("defs",{children:[e.jsxs("linearGradient",{id:"fluxArea",x1:"0",x2:"0",y1:"0",y2:"1",children:[e.jsx("stop",{offset:"0%",stopColor:"rgba(255, 113, 74, 0.40)"}),e.jsx("stop",{offset:"100%",stopColor:"rgba(125, 100, 255, 0.03)"})]}),e.jsxs("linearGradient",{id:"fluxLine",x1:"0",x2:"1",y1:"0",y2:"0",children:[e.jsx("stop",{offset:"0%",stopColor:"#ff8d66"}),e.jsx("stop",{offset:"55%",stopColor:"#ffd35d"}),e.jsx("stop",{offset:"100%",stopColor:"#8f7dff"})]})]}),n.map((y,v)=>{const h=760/n.length;return e.jsx("rect",{className:v%2===0?"ccd-flux-bin":"ccd-flux-bin ccd-flux-bin-alt",x:v*h,y:0,width:h,height:240},v)}),e.jsx("path",{className:"ccd-flux-area",d:M,fill:"url(#fluxArea)"}),e.jsx("path",{className:"ccd-flux-line",d:f,stroke:"url(#fluxLine)"}),e.jsx("path",{className:"ccd-flux-mean-line",d:C})]}),e.jsxs("div",{className:"ccd-flux-legend",children:[e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-raw"}),e.jsx("span",{children:"Raw flux"})]}),e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-mean"}),e.jsx("span",{children:"Running mean"})]})]}),e.jsxs("div",{className:"ccd-flux-axis",children:[e.jsx("span",{children:"Earlier"}),e.jsx("span",{children:"Now"})]})]}),e.jsxs("div",{className:"ccd-flux-metrics",children:[e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Mean flux"}),e.jsx("strong",{children:c.toFixed(4)})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Sigma"}),e.jsx("strong",{children:i.toFixed(4)})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Range"}),e.jsxs("strong",{children:[d.toFixed(4)," to ",p.toFixed(4)]})]})]})]})})}const De={eyebrow:"Flux Variability",title:"Total flux periodogram",description:"If we focus on the energy instead of the count, we get the flux - energy per second. It tells us how the total energy varies over time (1 sec bins)."},Be={stepLabel:"Step 5",title:"Periodogram of flux",body:"This tells you how much the flux varies over time . 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dd{margin:0;color:var(--terminal-green-soft)}.gallery-log-list{display:flex;flex-direction:column;gap:12px;max-height:360px;overflow:auto}.gallery-log-item{padding:12px;border-radius:14px;background:#070c09eb;border:1px solid rgba(125,255,155,.1)}.gallery-pre{margin:0;white-space:pre-wrap;word-break:break-word;color:#d8f9df;font-family:SFMono-Regular,Menlo,monospace;font-size:.78rem;line-height:1.45}@media(max-width:1200px){.gallery-grid{grid-template-columns:minmax(0,1fr) 320px}}@media(max-width:960px){body{overflow:auto}body[data-gallery-mode=shell] #root{height:auto;min-height:100%}.gallery-shell{grid-template-columns:1fr;height:auto}.gallery-sidebar{border-right:0;border-bottom:1px solid rgba(125,255,155,.14)}.gallery-grid{grid-template-columns:1fr}.gallery-viewport-switcher,.gallery-toolbar-actions{justify-content:flex-start}.gallery-stage{min-height:70vh}} diff --git a/dist/vendor/glitch/glitch_gallery/assets/index-DnqmHVBx.js b/dist/vendor/glitch/glitch_gallery/assets/index-DnqmHVBx.js new file mode 100644 index 0000000..10c4a01 --- /dev/null +++ b/dist/vendor/glitch/glitch_gallery/assets/index-DnqmHVBx.js @@ -0,0 +1 @@ +import{k as Zt,V as g,l as U,T as Y,Q as yt,m as bt,b as E,n as Ht,f as Kt,M as Ft,r as b,o as gt,C as Et,F as wt,P as Xt,W as Vt,p as Wt,q as qt,s as Pt,t as Gt,v as Bt,w as Qt,I as Mt,i as $t,j as w,x as Jt,y as te,z as Dt}from"./index-CEeZxcxj.js";const St={type:"change"},et={type:"start"},Ct={type:"end"},V=new Ht,Tt=new Kt,ee=Math.cos(70*Ft.DEG2RAD),h=new g,f=2*Math.PI,a={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6},$=1e-6;class se extends Zt{constructor(t,e=null){super(t,e),this.state=a.NONE,this.target=new g,this.cursor=new g,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minTargetRadius=0,this.maxTargetRadius=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.keyRotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.zoomToCursor=!1,this.autoRotate=!1,this.autoRotateSpeed=2,this.keys={LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"},this.mouseButtons={LEFT:U.ROTATE,MIDDLE:U.DOLLY,RIGHT:U.PAN},this.touches={ONE:Y.ROTATE,TWO:Y.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this._lastPosition=new g,this._lastQuaternion=new yt,this._lastTargetPosition=new g,this._quat=new yt().setFromUnitVectors(t.up,new g(0,1,0)),this._quatInverse=this._quat.clone().invert(),this._spherical=new bt,this._sphericalDelta=new bt,this._scale=1,this._panOffset=new g,this._rotateStart=new E,this._rotateEnd=new E,this._rotateDelta=new E,this._panStart=new E,this._panEnd=new E,this._panDelta=new E,this._dollyStart=new E,this._dollyEnd=new E,this._dollyDelta=new E,this._dollyDirection=new g,this._mouse=new E,this._performCursorZoom=!1,this._pointers=[],this._pointerPositions={},this._controlActive=!1,this._onPointerMove=oe.bind(this),this._onPointerDown=ie.bind(this),this._onPointerUp=ae.bind(this),this._onContextMenu=pe.bind(this),this._onMouseWheel=he.bind(this),this._onKeyDown=le.bind(this),this._onTouchStart=ce.bind(this),this._onTouchMove=de.bind(this),this._onMouseDown=ne.bind(this),this._onMouseMove=re.bind(this),this._interceptControlDown=ue.bind(this),this._interceptControlUp=me.bind(this),this.domElement!==null&&this.connect(this.domElement),this.update()}connect(t){super.connect(t),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointercancel",this._onPointerUp),this.domElement.addEventListener("contextmenu",this._onContextMenu),this.domElement.addEventListener("wheel",this._onMouseWheel,{passive:!1}),this.domElement.getRootNode().addEventListener("keydown",this._interceptControlDown,{passive:!0,capture:!0}),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.ownerDocument.removeEventListener("pointermove",this._onPointerMove),this.domElement.ownerDocument.removeEventListener("pointerup",this._onPointerUp),this.domElement.removeEventListener("pointercancel",this._onPointerUp),this.domElement.removeEventListener("wheel",this._onMouseWheel),this.domElement.removeEventListener("contextmenu",this._onContextMenu),this.stopListenToKeyEvents(),this.domElement.getRootNode().removeEventListener("keydown",this._interceptControlDown,{capture:!0}),this.domElement.style.touchAction="auto"}dispose(){this.disconnect()}getPolarAngle(){return this._spherical.phi}getAzimuthalAngle(){return this._spherical.theta}getDistance(){return this.object.position.distanceTo(this.target)}listenToKeyEvents(t){t.addEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=t}stopListenToKeyEvents(){this._domElementKeyEvents!==null&&(this._domElementKeyEvents.removeEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=null)}saveState(){this.target0.copy(this.target),this.position0.copy(this.object.position),this.zoom0=this.object.zoom}reset(){this.target.copy(this.target0),this.object.position.copy(this.position0),this.object.zoom=this.zoom0,this.object.updateProjectionMatrix(),this.dispatchEvent(St),this.update(),this.state=a.NONE}update(t=null){const e=this.object.position;h.copy(e).sub(this.target),h.applyQuaternion(this._quat),this._spherical.setFromVector3(h),this.autoRotate&&this.state===a.NONE&&this._rotateLeft(this._getAutoRotationAngle(t)),this.enableDamping?(this._spherical.theta+=this._sphericalDelta.theta*this.dampingFactor,this._spherical.phi+=this._sphericalDelta.phi*this.dampingFactor):(this._spherical.theta+=this._sphericalDelta.theta,this._spherical.phi+=this._sphericalDelta.phi);let i=this.minAzimuthAngle,o=this.maxAzimuthAngle;isFinite(i)&&isFinite(o)&&(i<-Math.PI?i+=f:i>Math.PI&&(i-=f),o<-Math.PI?o+=f:o>Math.PI&&(o-=f),i<=o?this._spherical.theta=Math.max(i,Math.min(o,this._spherical.theta)):this._spherical.theta=this._spherical.theta>(i+o)/2?Math.max(i,this._spherical.theta):Math.min(o,this._spherical.theta)),this._spherical.phi=Math.max(this.minPolarAngle,Math.min(this.maxPolarAngle,this._spherical.phi)),this._spherical.makeSafe(),this.enableDamping===!0?this.target.addScaledVector(this._panOffset,this.dampingFactor):this.target.add(this._panOffset),this.target.sub(this.cursor),this.target.clampLength(this.minTargetRadius,this.maxTargetRadius),this.target.add(this.cursor);let n=!1;if(this.zoomToCursor&&this._performCursorZoom||this.object.isOrthographicCamera)this._spherical.radius=this._clampDistance(this._spherical.radius);else{const r=this._spherical.radius;this._spherical.radius=this._clampDistance(this._spherical.radius*this._scale),n=r!=this._spherical.radius}if(h.setFromSpherical(this._spherical),h.applyQuaternion(this._quatInverse),e.copy(this.target).add(h),this.object.lookAt(this.target),this.enableDamping===!0?(this._sphericalDelta.theta*=1-this.dampingFactor,this._sphericalDelta.phi*=1-this.dampingFactor,this._panOffset.multiplyScalar(1-this.dampingFactor)):(this._sphericalDelta.set(0,0,0),this._panOffset.set(0,0,0)),this.zoomToCursor&&this._performCursorZoom){let r=null;if(this.object.isPerspectiveCamera){const l=h.length();r=this._clampDistance(l*this._scale);const m=l-r;this.object.position.addScaledVector(this._dollyDirection,m),this.object.updateMatrixWorld(),n=!!m}else if(this.object.isOrthographicCamera){const l=new g(this._mouse.x,this._mouse.y,0);l.unproject(this.object);const m=this.object.zoom;this.object.zoom=Math.max(this.minZoom,Math.min(this.maxZoom,this.object.zoom/this._scale)),this.object.updateProjectionMatrix(),n=m!==this.object.zoom;const c=new g(this._mouse.x,this._mouse.y,0);c.unproject(this.object),this.object.position.sub(c).add(l),this.object.updateMatrixWorld(),r=h.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),this.zoomToCursor=!1;r!==null&&(this.screenSpacePanning?this.target.set(0,0,-1).transformDirection(this.object.matrix).multiplyScalar(r).add(this.object.position):(V.origin.copy(this.object.position),V.direction.set(0,0,-1).transformDirection(this.object.matrix),Math.abs(this.object.up.dot(V.direction))$||8*(1-this._lastQuaternion.dot(this.object.quaternion))>$||this._lastTargetPosition.distanceToSquared(this.target)>$?(this.dispatchEvent(St),this._lastPosition.copy(this.object.position),this._lastQuaternion.copy(this.object.quaternion),this._lastTargetPosition.copy(this.target),!0):!1}_getAutoRotationAngle(t){return t!==null?f/60*this.autoRotateSpeed*t:f/60/60*this.autoRotateSpeed}_getZoomScale(t){const e=Math.abs(t*.01);return Math.pow(.95,this.zoomSpeed*e)}_rotateLeft(t){this._sphericalDelta.theta-=t}_rotateUp(t){this._sphericalDelta.phi-=t}_panLeft(t,e){h.setFromMatrixColumn(e,0),h.multiplyScalar(-t),this._panOffset.add(h)}_panUp(t,e){this.screenSpacePanning===!0?h.setFromMatrixColumn(e,1):(h.setFromMatrixColumn(e,0),h.crossVectors(this.object.up,h)),h.multiplyScalar(t),this._panOffset.add(h)}_pan(t,e){const i=this.domElement;if(this.object.isPerspectiveCamera){const o=this.object.position;h.copy(o).sub(this.target);let n=h.length();n*=Math.tan(this.object.fov/2*Math.PI/180),this._panLeft(2*t*n/i.clientHeight,this.object.matrix),this._panUp(2*e*n/i.clientHeight,this.object.matrix)}else this.object.isOrthographicCamera?(this._panLeft(t*(this.object.right-this.object.left)/this.object.zoom/i.clientWidth,this.object.matrix),this._panUp(e*(this.object.top-this.object.bottom)/this.object.zoom/i.clientHeight,this.object.matrix)):(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."),this.enablePan=!1)}_dollyOut(t){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale/=t:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_dollyIn(t){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale*=t:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_updateZoomParameters(t,e){if(!this.zoomToCursor)return;this._performCursorZoom=!0;const i=this.domElement.getBoundingClientRect(),o=t-i.left,n=e-i.top,r=i.width,l=i.height;this._mouse.x=o/r*2-1,this._mouse.y=-(n/l)*2+1,this._dollyDirection.set(this._mouse.x,this._mouse.y,1).unproject(this.object).sub(this.object.position).normalize()}_clampDistance(t){return Math.max(this.minDistance,Math.min(this.maxDistance,t))}_handleMouseDownRotate(t){this._rotateStart.set(t.clientX,t.clientY)}_handleMouseDownDolly(t){this._updateZoomParameters(t.clientX,t.clientX),this._dollyStart.set(t.clientX,t.clientY)}_handleMouseDownPan(t){this._panStart.set(t.clientX,t.clientY)}_handleMouseMoveRotate(t){this._rotateEnd.set(t.clientX,t.clientY),this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const e=this.domElement;this._rotateLeft(f*this._rotateDelta.x/e.clientHeight),this._rotateUp(f*this._rotateDelta.y/e.clientHeight),this._rotateStart.copy(this._rotateEnd),this.update()}_handleMouseMoveDolly(t){this._dollyEnd.set(t.clientX,t.clientY),this._dollyDelta.subVectors(this._dollyEnd,this._dollyStart),this._dollyDelta.y>0?this._dollyOut(this._getZoomScale(this._dollyDelta.y)):this._dollyDelta.y<0&&this._dollyIn(this._getZoomScale(this._dollyDelta.y)),this._dollyStart.copy(this._dollyEnd),this.update()}_handleMouseMovePan(t){this._panEnd.set(t.clientX,t.clientY),this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd),this.update()}_handleMouseWheel(t){this._updateZoomParameters(t.clientX,t.clientY),t.deltaY<0?this._dollyIn(this._getZoomScale(t.deltaY)):t.deltaY>0&&this._dollyOut(this._getZoomScale(t.deltaY)),this.update()}_handleKeyDown(t){let e=!1;switch(t.code){case this.keys.UP:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateUp(f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,this.keyPanSpeed),e=!0;break;case this.keys.BOTTOM:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateUp(-f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,-this.keyPanSpeed),e=!0;break;case this.keys.LEFT:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateLeft(f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(this.keyPanSpeed,0),e=!0;break;case this.keys.RIGHT:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateLeft(-f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(-this.keyPanSpeed,0),e=!0;break}e&&(t.preventDefault(),this.update())}_handleTouchStartRotate(t){if(this._pointers.length===1)this._rotateStart.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._rotateStart.set(i,o)}}_handleTouchStartPan(t){if(this._pointers.length===1)this._panStart.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._panStart.set(i,o)}}_handleTouchStartDolly(t){const e=this._getSecondPointerPosition(t),i=t.pageX-e.x,o=t.pageY-e.y,n=Math.sqrt(i*i+o*o);this._dollyStart.set(0,n)}_handleTouchStartDollyPan(t){this.enableZoom&&this._handleTouchStartDolly(t),this.enablePan&&this._handleTouchStartPan(t)}_handleTouchStartDollyRotate(t){this.enableZoom&&this._handleTouchStartDolly(t),this.enableRotate&&this._handleTouchStartRotate(t)}_handleTouchMoveRotate(t){if(this._pointers.length==1)this._rotateEnd.set(t.pageX,t.pageY);else{const i=this._getSecondPointerPosition(t),o=.5*(t.pageX+i.x),n=.5*(t.pageY+i.y);this._rotateEnd.set(o,n)}this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const e=this.domElement;this._rotateLeft(f*this._rotateDelta.x/e.clientHeight),this._rotateUp(f*this._rotateDelta.y/e.clientHeight),this._rotateStart.copy(this._rotateEnd)}_handleTouchMovePan(t){if(this._pointers.length===1)this._panEnd.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._panEnd.set(i,o)}this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd)}_handleTouchMoveDolly(t){const e=this._getSecondPointerPosition(t),i=t.pageX-e.x,o=t.pageY-e.y,n=Math.sqrt(i*i+o*o);this._dollyEnd.set(0,n),this._dollyDelta.set(0,Math.pow(this._dollyEnd.y/this._dollyStart.y,this.zoomSpeed)),this._dollyOut(this._dollyDelta.y),this._dollyStart.copy(this._dollyEnd);const r=(t.pageX+e.x)*.5,l=(t.pageY+e.y)*.5;this._updateZoomParameters(r,l)}_handleTouchMoveDollyPan(t){this.enableZoom&&this._handleTouchMoveDolly(t),this.enablePan&&this._handleTouchMovePan(t)}_handleTouchMoveDollyRotate(t){this.enableZoom&&this._handleTouchMoveDolly(t),this.enableRotate&&this._handleTouchMoveRotate(t)}_addPointer(t){this._pointers.push(t.pointerId)}_removePointer(t){delete this._pointerPositions[t.pointerId];for(let e=0;eMath.min(e,Math.max(t,s)),tt=(s,t,e,i,o=1)=>{if(typeof s!="number"||Number.isNaN(s))return t;const n=Math.round(s/o)*o;return xe(n,e,i)};function Ot(s){const t=new Jt(16777215,.65);s.add(t);const e=new te(16777215,1.1);e.position.set(20,50,20),e.castShadow=!0,e.shadow.mapSize.width=2048,e.shadow.mapSize.height=2048,s.add(e);const i=new Dt(3900150,1.1,50);i.position.set(-10,10,-10),s.add(i);const o=new Dt(16743001,.9,50);o.position.set(10,-10,10),s.add(o)}function Re(s){if(Array.isArray(s)){s.forEach(t=>t.dispose());return}s.dispose()}function Lt(s){s.traverse(t=>{const e=t;e.geometry&&e.geometry.dispose(),e.material&&Re(e.material)})}function Le({config:s,onComplete:t,onProgress:e,theme:i,className:o}){const n=s.params??{},r=tt(n.gridSize,24,12,80,1),l=tt(n.majorRadius,8,4,10,.5),m=tt(n.minorRadius,3,1,5,.25),[c,st]=b.useState(r),[v,jt]=b.useState({layout:"landscape",width:0,height:0}),it=b.useRef(null),ot=b.useRef(null),W=b.useRef(!1);b.useEffect(()=>{const y=it.current;if(!y)return;const T=()=>{const L=y.clientWidth,_=y.clientHeight;if(!L||!_)return;const d=L>=_?"landscape":"portrait";let p=L,N=_;d==="landscape"?(N=Math.min(_,L*(9/16)),p=N*(16/9)):(p=Math.min(L,_/2),N=p*2),jt({layout:d,width:p,height:N})},M=new ResizeObserver(T);return M.observe(y),T(),()=>{M.disconnect()}},[]),b.useEffect(()=>{st(r),W.current=!1},[s.id,r,l,m]);const 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\ No newline at end of file diff --git a/dist/vendor/glitch/glitch_lightlane/Component.d.ts b/dist/vendor/glitch/glitch_lightlane/Component.d.ts new file mode 100644 index 0000000..b416453 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/Component.d.ts @@ -0,0 +1,14 @@ +import { type GlitchComponentProps } from './types'; +type ComponentDevUiOverrides = { + showNumericDiagnostics?: boolean; + compactNumericDiagnostics?: boolean; + onOpenHarness?: () => void; + onSetParam?: (name: 'complexity' | 'speedup', value: number) => void; + maxComplexity?: number; + maxSpeedup?: number; +}; +type ComponentProps = GlitchComponentProps & { + devUi?: ComponentDevUiOverrides; +}; +export default function Component(props: ComponentProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/DiophantineVectors.d.ts b/dist/vendor/glitch/glitch_lightlane/components/DiophantineVectors.d.ts new file mode 100644 index 0000000..c58efa8 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/DiophantineVectors.d.ts @@ -0,0 +1,10 @@ +interface DiophantineVectorsProps { + complexity: number; + lightlanes?: boolean; + radius?: number; + distance?: number; + allSectors?: boolean; + cumulative?: boolean; +} +export declare function DiophantineVectors({ complexity, lightlanes, radius, distance, allSectors, cumulative }: DiophantineVectorsProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts b/dist/vendor/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts new file mode 100644 index 0000000..b2a1b67 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts @@ -0,0 +1,22 @@ +import type { GlitchHostBridge } from '../types'; +interface FanoSweepPanelProps { + radius: number; + distance: number; + chandraDistance: number; + allSectors: boolean; + cumulative: boolean; + theta: number; + phi: number; + orbitSpeed: number; + thetaDrift: number; + thetaJitter: number; + phiJitter: number; + K: number; + speedup: number; + usePoisson: boolean; + bottomInset?: number; + onBack?: () => void; + host?: GlitchHostBridge; +} +export declare function FanoSweepPanel(props: FanoSweepPanelProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/OrbitingObject.d.ts b/dist/vendor/glitch/glitch_lightlane/components/OrbitingObject.d.ts new file mode 100644 index 0000000..8190e96 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/OrbitingObject.d.ts @@ -0,0 +1,12 @@ +import { type MutableRefObject } from 'react'; +interface OrbitingObjectProps { + radius: number; + theta: number; + phi: number; + orbitTime: MutableRefObject; + simTime?: MutableRefObject; + thetaDrift?: number; + paused?: boolean; +} +export declare function OrbitingObject({ radius, theta, phi, orbitTime, simTime, thetaDrift, paused }: OrbitingObjectProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/PoissonShell.d.ts b/dist/vendor/glitch/glitch_lightlane/components/PoissonShell.d.ts new file mode 100644 index 0000000..002434d --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/PoissonShell.d.ts @@ -0,0 +1,3 @@ +export declare function PoissonShell({ radius }: { + radius: number; +}): import("react/jsx-runtime").JSX.Element; diff --git a/dist/vendor/glitch/glitch_lightlane/components/PulsingSphere.d.ts b/dist/vendor/glitch/glitch_lightlane/components/PulsingSphere.d.ts new file mode 100644 index 0000000..6673eb6 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/PulsingSphere.d.ts @@ -0,0 +1,6 @@ +interface PulsingSphereProps { + radius: number; + paused?: boolean; +} +export declare function PulsingSphere({ radius, paused }: PulsingSphereProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/SamplingSystem.d.ts b/dist/vendor/glitch/glitch_lightlane/components/SamplingSystem.d.ts new file mode 100644 index 0000000..ea738ce --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/SamplingSystem.d.ts @@ -0,0 +1,29 @@ +import type { GlitchHostBridge, SceneViewMode } from '../types'; +interface SamplingSystemProps { + complexity: number; + radius: number; + distance: number; + theta: number; + phi: number; + observationMode: 'orbit' | 'randomSphere'; + allSectors: boolean; + cumulative: boolean; + K: number; + orbitRadius: number; + orbitVelocity: number; + thetaDrift: number; + thetaJitter: number; + phiJitter: number; + usePoisson: boolean; + speedup: number; + paused: boolean; + sceneView: SceneViewMode; + bottomInset?: number; + showNumericDiagnostics?: boolean; + compactNumericDiagnostics?: boolean; + host?: GlitchHostBridge; + centerDistribution?: boolean; + hideFlyingBars?: boolean; +} +export declare function SamplingSystem({ complexity, radius, distance, theta, phi, observationMode, allSectors, cumulative, K, orbitRadius, orbitVelocity, thetaDrift, thetaJitter, phiJitter, usePoisson, speedup, paused, sceneView, bottomInset, showNumericDiagnostics, compactNumericDiagnostics, host, centerDistribution, hideFlyingBars }: SamplingSystemProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/TargetDisc.d.ts b/dist/vendor/glitch/glitch_lightlane/components/TargetDisc.d.ts new file mode 100644 index 0000000..4a95429 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/TargetDisc.d.ts @@ -0,0 +1,6 @@ +interface TargetDiscProps { + radius: number; + distance: number; +} +export declare function TargetDisc({ radius, distance }: TargetDiscProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/components/VectorArrow.d.ts b/dist/vendor/glitch/glitch_lightlane/components/VectorArrow.d.ts new file mode 100644 index 0000000..349ed2a --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/components/VectorArrow.d.ts @@ -0,0 +1,7 @@ +interface VectorArrowProps { + vector: [number, number, number]; + origin?: [number, number, number]; + color?: string; +} +export declare function VectorArrow({ vector, origin, color }: VectorArrowProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/dist/vendor/glitch/glitch_lightlane/dev.d.ts b/dist/vendor/glitch/glitch_lightlane/dev.d.ts new file mode 100644 index 0000000..2c068e0 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/dev.d.ts @@ -0,0 +1 @@ +import './dev-theme.css'; diff --git a/dist/vendor/glitch/glitch_lightlane/devHostBridge.d.ts b/dist/vendor/glitch/glitch_lightlane/devHostBridge.d.ts new file mode 100644 index 0000000..3fba17e --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/devHostBridge.d.ts @@ -0,0 +1,8 @@ +import type { GlitchHostBridge } from './types'; +export type DevHostBridgeOptions = { + isMuted?: () => boolean; + onSound?: (id: string, payload?: Record) => void; + onEmit?: (type: string, payload?: unknown) => void; +}; +export declare function createDevHostBridge(options?: DevHostBridgeOptions): GlitchHostBridge; +export declare function attachWindowSoundBridge(host: GlitchHostBridge): () => void; diff --git a/dist/vendor/glitch/glitch_lightlane/glitch.manifest.json b/dist/vendor/glitch/glitch_lightlane/glitch.manifest.json new file mode 100644 index 0000000..c4fb622 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "lightlane", + "displayName": "Lightlane Challenge", + "version": "0.1.0", + "folderName": "glitch_lightlane", + "packageName": "@nommo/lightlane", + "entry": "dist/lightlane.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "reference", + "3d" + ] +} diff --git a/dist/vendor/glitch/glitch_lightlane/hostBridge.d.ts b/dist/vendor/glitch/glitch_lightlane/hostBridge.d.ts new file mode 100644 index 0000000..fa85f46 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/hostBridge.d.ts @@ -0,0 +1,17 @@ +import type { GlitchHostBridge } from './types'; +export declare const HOST_SOUND_EVENT = "glitch:play-sound"; +export declare const HOST_STOP_SOUND_EVENT = "glitch:stop-sound"; +export declare const HOST_EMIT_PREFIX = "glitch:host:"; +export declare const SOUND_IDS: { + readonly click: "ui.button_click"; + readonly hover: "ui.button_hover"; + readonly computeStart: "machine.compute_start"; + readonly computeStep: "machine.compute_step"; + readonly computeDone: "machine.compute_done"; + readonly verdictStable: "machine.verdict_stable"; + readonly verdictAlert: "machine.verdict_alert"; +}; +export type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS]; +export declare function safePlaySound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeStopSound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown): void; diff --git a/dist/vendor/glitch/glitch_lightlane/index.d.ts b/dist/vendor/glitch/glitch_lightlane/index.d.ts new file mode 100644 index 0000000..50f28d5 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/index.d.ts @@ -0,0 +1,5 @@ +import Component from './Component'; +import { type GlitchComponentMetadata } from './types'; +export default Component; +export declare const metadata: GlitchComponentMetadata; +export type { GlitchComponentProps, GlitchComponentConfig, GlitchComponentResult, GlitchHostBridge } from './types'; diff --git a/dist/vendor/glitch/glitch_lightlane/lightlane.js b/dist/vendor/glitch/glitch_lightlane/lightlane.js new file mode 100644 index 0000000..030f745 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/lightlane.js @@ -0,0 +1,2805 @@ +import { jsx as n, jsxs as i, Fragment as Fe } from "react/jsx-runtime"; +import { useMemo as he, useState as $, useRef as Z, useEffect as de } from "react"; +import { useFrame as Qe } from "@react-three/fiber"; +import { Html as De, Grid as At } from "@react-three/drei"; +import * as Ye from "three"; +import { Color as Dt } from "three"; +function Nt({ vector: e, origin: t = [0, 0, 0], color: o = "#facc15" }) { + const { dir: r, len: l, position: a } = he(() => { + const c = new Ye.Vector3(...t), s = new Ye.Vector3(...e), d = c.distanceTo(s); + return { dir: s.clone().sub(c).normalize(), len: d, position: c }; + }, [e, t]), h = he(() => new Ye.ArrowHelper(r, a, l, o, 0.2 * Math.min(l, 1) + 0.1, 0.1 * Math.min(l, 1) + 0.05), [r, l, a, o]); + return /* @__PURE__ */ n("primitive", { object: h }); +} +function _t(e, t = !1) { + const o = []; + for (let r = 0; r <= e; r++) + for (let l = 0; l <= e - r; l++) { + const a = e - r - l; + if (a >= 0) + if (!t) + o.push([r, l, a]); + else { + const h = r === 0 ? [1] : [1, -1], c = l === 0 ? [1] : [1, -1], s = a === 0 ? [1] : [1, -1]; + for (const d of h) + for (const m of c) + for (const u of s) + o.push([r * d, l * m, a * u]); + } + } + return o; +} +function Ht({ vector: e, radius: t, distance: o, color: r }) { + const { position: l, quaternion: a } = he(() => { + const h = new Ye.Vector3(...e).normalize(), c = new Ye.Vector3(0, 1, 0), s = new Ye.Quaternion().setFromUnitVectors(c, h); + return { position: h.clone().multiplyScalar(o / 2), quaternion: s }; + }, [e, o]); + return /* @__PURE__ */ i("mesh", { position: l, quaternion: a, children: [ + /* @__PURE__ */ n("cylinderGeometry", { args: [t, t, o, 32] }), + /* @__PURE__ */ n("meshStandardMaterial", { color: r, opacity: 0.5, transparent: !0 }) + ] }); +} +function Wt({ complexity: e, lightlanes: t = !1, radius: o = 0.5, distance: r = 5, allSectors: l = !1, cumulative: a = !1 }) { + const h = he(() => { + const s = [], d = a ? 1 : e, m = e; + for (let u = d; u <= m; u++) { + const x = _t(u, l); + for (const y of x) + s.push({ vec: y, c: u }); + } + return s; + }, [e, l, a]), c = (s) => { + const d = a ? Math.max(e, 1) : e; + return `hsl(${270 * (1 - (d > 1 ? (s - 1) / (d - 1) : 1))}, 100%, 50%)`; + }; + return /* @__PURE__ */ n("group", { children: h.map((s, d) => { + const m = a ? c(s.c) : t ? "#ff33c5" : "#4ade80"; + return t ? /* @__PURE__ */ n( + Ht, + { + vector: s.vec, + radius: o, + distance: r, + color: m + }, + `cyl-${d}-${s.vec.join(",")}-${s.c}` + ) : /* @__PURE__ */ n( + Nt, + { + vector: s.vec, + color: m + }, + `vec-${d}-${s.vec.join(",")}-${s.c}` + ); + }) }); +} +const Vt = "glitch:play-sound", jt = "glitch:stop-sound", we = { + click: "ui.button_click", + hover: "ui.button_hover", + computeStart: "machine.compute_start", + computeStep: "machine.compute_step", + computeDone: "machine.compute_done" +}; +function Ct(e, t) { + typeof window > "u" || window.dispatchEvent(new CustomEvent(e, { detail: t })); +} +function Ce(e, t, o) { + try { + if (e?.playSound) { + e.playSound(t, o); + return; + } + } catch { + } + Ct(Vt, { id: t, payload: o }); +} +function Yt(e, t, o) { + try { + if (e?.stopSound) { + e.stopSound(t, o); + return; + } + } catch { + } + Ct(jt, { id: t, payload: o }); +} +const Ue = 1e-12; +function ut(e = 123456789) { + let t = e >>> 0; + return function() { + t |= 0, t = t + 1831565813 | 0; + let r = Math.imul(t ^ t >>> 15, 1 | t); + return r = r + Math.imul(r ^ r >>> 7, 61 | r) ^ r, ((r ^ r >>> 14) >>> 0) / 4294967296; + }; +} +function Ut(e, t = Math.random) { + if (!Number.isFinite(e) || e <= 0) return 0; + if (e < 30) { + const h = Math.exp(-e); + let c = 0, s = 1; + do + c++, s *= t(); + while (s > h); + return c - 1; + } + const o = Math.max(1e-12, t()), r = t(), l = Math.sqrt(-2 * Math.log(o)) * Math.cos(2 * Math.PI * r), a = e + Math.sqrt(e) * l; + return Math.max(0, Math.round(a)); +} +function st(e) { + return [e[0] ?? e.x, e[1] ?? e.y, e[2] ?? e.z]; +} +function Gt(e, t, o) { + return Math.sqrt(e * e + t * t + o * o); +} +function kt(e) { + const t = 2 * Math.PI; + let o = e % t; + return o < 0 && (o += t), o; +} +function Jt(e) { + const t = 2 * e() - 1, o = 2 * Math.PI * e(); + return { + theta: Math.acos(Math.max(-1, Math.min(1, t))), + phi: o + }; +} +function mt(e) { + const t = 2 * Math.PI; + let o = e % t; + return o < 0 && (o += t), o > Math.PI && (o = t - o), o; +} +function Mt(e = Math.random) { + const t = Math.max(1e-12, e()), o = e(); + return Math.sqrt(-2 * Math.log(t)) * Math.cos(2 * Math.PI * o); +} +function qt(e, t, o) { + const r = Math.sin(t); + return [ + e * r * Math.cos(o), + e * Math.cos(t), + e * r * Math.sin(o) + ]; +} +function Xt(e, t = !1, o = !1) { + const r = [], l = o ? 1 : e, a = e; + for (let h = l; h <= a; h++) + for (let c = 0; c <= h; c++) + for (let s = 0; s <= h - c; s++) { + const d = h - c - s; + if (!t) { + r.push([c, s, d]); + continue; + } + const m = c === 0 ? [1] : [1, -1], u = s === 0 ? [1] : [1, -1], x = d === 0 ? [1] : [1, -1]; + for (const y of m) + for (const B of u) + for (const F of x) + r.push([c * y, s * B, d * F]); + } + return r; +} +function wt({ + D: e, + complexity: t, + allSectors: o = !1, + cumulative: r = !1 +}) { + if (!Number.isFinite(e) || e <= 0) return []; + if (!Number.isInteger(t) || t < 1) return []; + const l = Xt(t, o, r), a = []; + for (let h = 0; h < l.length; h++) { + const [c, s, d] = l[h], m = Gt(c, s, d); + m <= Ue || a.push([e * c / m, e * s / m, e * d / m]); + } + return a; +} +function Kt(e, t, o) { + if (!e || e.length === 0 || !Number.isFinite(o) || o <= 0) return 0; + const [r, l, a] = st(t), h = o * o; + let c = 0; + for (let s = 0; s < e.length; s++) { + const [d, m, u] = st(e[s]), x = d * d + m * m + u * u; + if (x <= Ue) continue; + let y = (r * d + l * m + a * u) / x; + y < 0 && (y = 0), y > 1 && (y = 1); + const B = y * d, F = y * m, R = y * u, C = r - B, j = l - F, v = a - R; + C * C + j * j + v * v < h && c++; + } + return c; +} +function Qt(e, t, o, r) { + if (!e || e.length === 0 || !Number.isFinite(t) || t <= 0 || !Number.isFinite(r) || r <= 0) return 0; + const [l, a, h] = st(o), s = t * t - 0.5 * r * r; + let d = 0; + for (let m = 0; m < e.length; m++) { + const [u, x, y] = st(e[m]); + l * u + a * x + h * y > s && d++; + } + return d; +} +function Bt({ D: e, lane_radius: t }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(t) || t <= 0) return 0; + const o = t * t / (4 * e * e); + return o <= 0 ? 0 : o > 1 ? 1 : o; +} +function Zt({ D: e, lane_radius: t, lane_length: o }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(t) || t <= 0 || !Number.isFinite(o) || o <= 0) return 0; + if (o >= e - Ue) + return Bt({ D: e, lane_radius: t }); + const r = t, l = o, a = e - l; + if (r <= a) return 0; + if (r >= e + l) return 1; + const h = Math.sqrt(Math.max(0, e * e - l * l)); + let c; + return r < h ? c = (e * e + l * l - r * r) / (2 * e * l) : r < e ? c = Math.sqrt(Math.max(0, 1 - r * r / (e * e))) : c = -1, Number.isFinite(c) ? (c < -1 && (c = -1), c > 1 && (c = 1), (1 - c) / 2) : 0; +} +function en({ flux: e, D: t, lane_radius: o, dt: r }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(r) || r <= 0) return 0; + const l = Bt({ D: t, lane_radius: o }); + return e * l * r; +} +function tn({ flux: e, D: t, lane_radius: o, lane_length: r, dt: l }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(l) || l <= 0) return 0; + const a = Zt({ D: t, lane_radius: o, lane_length: r }); + return e * a * l; +} +function Et({ + flux: e, + D: t, + lane_radius: o, + dt: r, + hitTestModel: l = "shell", + lane_length: a +}) { + return l === "segment" ? tn({ flux: e, D: t, lane_radius: o, lane_length: a, dt: r }) : en({ flux: e, D: t, lane_radius: o, dt: r }); +} +function nn(e) { + if (!e || typeof e != "object") + throw new Error("createSamplingSimulation: config object is required."); + const t = e.lane_radius ?? e.radius, o = e.D, r = e.complexity, l = e.flux, a = e.bin_size ?? 1, h = e.sub_bin_sampling ?? 4, c = e.thetaDrift ?? e.theta_drift ?? 0, s = e.thetaJitter ?? e.theta_jitter ?? 0, d = e.phiJitter ?? e.phi_jitter ?? 0, m = e.laneLength ?? e.lane_length ?? e.distance ?? o, u = e.hitTestModel ?? e.hit_test_model ?? "shell", x = e.observationMode ?? e.observation_mode ?? "orbit"; + if (!Number.isFinite(o) || o <= 0) + throw new Error("createSamplingSimulation: D must be a positive number."); + if (!Number.isFinite(t) || t <= 0) + throw new Error("createSamplingSimulation: lane_radius (or radius) must be a positive number."); + if (!Number.isInteger(r) || r < 1) + throw new Error("createSamplingSimulation: complexity must be an integer >= 1."); + if (!Number.isFinite(l) || l < 0) + throw new Error("createSamplingSimulation: flux must be a finite number >= 0."); + if (!Number.isFinite(a) || a <= 0) + throw new Error("createSamplingSimulation: bin_size must be a positive number."); + if (!Number.isInteger(h) || h < 1) + throw new Error("createSamplingSimulation: sub_bin_sampling must be an integer >= 1."); + if (!Number.isFinite(c)) + throw new Error("createSamplingSimulation: thetaDrift must be finite."); + if (!Number.isFinite(s) || s < 0) + throw new Error("createSamplingSimulation: thetaJitter must be a finite number >= 0."); + if (!Number.isFinite(d) || d < 0) + throw new Error("createSamplingSimulation: phiJitter must be a finite number >= 0."); + if (!Number.isFinite(m) || m <= 0) + throw new Error("createSamplingSimulation: laneLength/lane_length/distance must be a positive number."); + if (u !== "shell" && u !== "segment") + throw new Error('createSamplingSimulation: hitTestModel must be "shell" or "segment".'); + if (x !== "orbit" && x !== "randomSphere") + throw new Error('createSamplingSimulation: observationMode must be "orbit" or "randomSphere".'); + return { + D: o, + lane_radius: t, + complexity: r, + flux: l, + bin_size: a, + sub_bin_sampling: h, + theta: mt(e.theta ?? Math.PI / 2), + phi: kt(e.phi ?? 0), + velocity: e.velocity ?? 0, + thetaDrift: c, + thetaJitter: s, + phiJitter: d, + lane_length: m, + hitTestModel: u, + observationMode: x, + allSectors: !!e.allSectors, + cumulative: !!e.cumulative, + usePoisson: e.usePoisson !== !1, + seed: Number.isFinite(e.seed) ? e.seed : 1 + }; +} +function It(e) { + const t = nn(e), o = wt(t), r = t.hitTestModel === "segment" ? wt({ ...t, D: t.lane_length }) : o, l = ut(t.seed), a = ut(t.seed + 1), h = ut(t.seed + 2), c = t.bin_size / t.sub_bin_sampling, s = Et({ + flux: t.flux, + D: t.D, + lane_radius: t.lane_radius, + dt: c, + hitTestModel: t.hitTestModel, + lane_length: t.lane_length + }); + let d = 0, m = 0, u = t.phi, x = t.theta, y = 0, B = 0, F = 0, R = 0, C = 0, j = 0, v = 0; + function L(k, A) { + return t.usePoisson ? Ut(k, A) : k; + } + function O(k = x, A = u) { + return qt(t.D, k, A); + } + function J() { + let k, A; + if (t.observationMode === "randomSphere") { + const P = Jt(h); + k = P.theta, A = P.phi; + } else + k = mt( + x + (t.thetaJitter > 0 ? t.thetaJitter * Mt(h) : 0) + ), A = kt( + u + (t.phiJitter > 0 ? t.phiJitter * Mt(h) : 0) + ); + const ee = O(k, A), z = t.hitTestModel === "segment" ? Kt(r, ee, t.lane_radius) : Qt(o, t.D, ee, t.lane_radius); + j = z; + const D = o.length, N = D > 0 ? z * t.flux * c / D : 0; + return B += L(N, l), F += L(s, a), R += N, v += z, C++, { + laneCount: z, + satPos: ee, + lambdaLightlaneSubBin: N, + phase: A, + theta: k + }; + } + function _() { + const k = C > 0 ? C * c : t.bin_size, A = s * t.sub_bin_sampling, D = { + time: y, + bin_size: k, + lightlane: B, + isotropic: F, + lambdaIsotropic: C > 0 ? s * C : A, + overlaps: j, + overlapsMean: C > 0 ? v / C : 0, + subBins: C, + phase: u, + theta: x, + lambdaLightlaneExpected: R + }; + return B = 0, F = 0, R = 0, v = 0, C = 0, D; + } + return { + config: { ...t }, + getLaneCount() { + return o.length; + }, + getState() { + return { + elapsed: y, + phase: u, + theta: x, + timeInBin: d, + timeInSubBin: m, + accumulatedLightlane: B, + accumulatedIsotropic: F, + expectedLightlaneThisBin: R, + processedSubBinsInCurrentBin: C, + lastLaneCount: j, + laneCount: o.length + }; + }, + reset() { + d = 0, m = 0, u = t.phi, x = t.theta, y = 0, B = 0, F = 0, R = 0, C = 0, j = 0, v = 0; + }, + flushPartialBin() { + if (C <= 0) return null; + const k = _(); + return d = 0, m = 0, k; + }, + simulate(k) { + if (!Number.isFinite(k) || k <= 0) + return { + bins: [], + lastLaneCount: j, + subBinEvents: 0, + elapsed: y + }; + let A = k, ee = 0; + const z = []; + for (; A > Ue; ) { + const D = c - m, N = t.bin_size - d, P = Math.min(A, D, N); + u += t.velocity * P, x = mt(x + t.thetaDrift * P), y += P, m += P, d += P, A -= P, m >= c - Ue && (m = 0, J(), ee++), d >= t.bin_size - Ue && (d = 0, z.push(_())); + } + return { + bins: z, + lastLaneCount: j, + subBinEvents: ee, + elapsed: y + }; + } + }; +} +function Ft(e, t) { + const o = e.n + 1, r = t - e.mean, l = e.mean + r / o, a = e.m2 + r * (t - l); + return { n: o, mean: l, m2: a }; +} +function Pt() { + return { n: 0, mean: 0, m2: 0 }; +} +function on({ + complexity: e, + samplesPerPoint: t, + runsPerPoint: o, + binSize: r, + subBinSampling: l, + props: a, + observationMode: h, + seed: c +}) { + let s = Pt(), d = Pt(), m = 0; + for (let F = 0; F < o; F++) { + const R = It({ + D: a.chandraDistance, + theta: a.theta, + phi: a.phi, + observationMode: h, + velocity: a.orbitSpeed, + thetaDrift: a.thetaDrift, + thetaJitter: a.thetaJitter, + phiJitter: a.phiJitter, + bin_size: r, + complexity: e, + sub_bin_sampling: l, + flux: a.K, + lane_radius: a.radius, + distance: a.distance, + hitTestModel: "segment", + allSectors: a.allSectors, + cumulative: a.cumulative, + usePoisson: a.usePoisson, + seed: c + F * 7919 + }); + F === 0 && (m = R.getLaneCount()); + for (let C = 0; C < t; C++) { + const { bins: j } = R.simulate(r), v = j[0]; + v && (s = Ft(s, v.lightlane), d = Ft(d, v.isotropic)); + } + } + const u = s.n > 1 ? s.m2 / (s.n - 1) : 0, x = d.n > 1 ? d.m2 / (d.n - 1) : 0, y = s.mean > 0 ? u / s.mean : 0, B = d.mean > 0 ? x / d.mean : 0; + return { + complexity: e, + laneCount: m, + meanBlue: s.mean, + meanYellow: d.mean, + fanoBlue: y, + fanoYellow: B, + fanoExcess: Math.max(0, y - B) + }; +} +function rn(e, t = 1) { + const o = e.filter((u) => u.complexity >= t && u.complexity > 1 && u.fanoExcess > 1e-6); + if (o.length < 3) return null; + let r = 0, l = 0, a = 0, h = 0; + const c = o.length; + for (const u of o) { + const x = Math.log(u.laneCount), y = Math.log(u.fanoExcess); + r += x, l += y, a += x * x, h += x * y; + } + const s = c * a - r * r; + if (Math.abs(s) < 1e-12) return null; + const d = (c * h - r * l) / s, m = (l - d * r) / c; + return { + A: Math.exp(m), + alpha: -d, + predictFanoExcessFromLaneCount(u) { + return Math.exp(m + d * Math.log(Math.max(1, u))); + } + }; +} +function an(e, t = 1) { + const o = e.filter((c) => c.complexity >= t && c.complexity > 1 && c.fanoExcess > 1e-6); + if (o.length < 4) return null; + const r = Math.min(...o.map((c) => c.fanoExcess)), l = Math.max(0, r * 0.98); + let a = null; + const h = 80; + for (let c = 0; c <= h; c++) { + const s = c / h * l, d = o.map((O) => ({ x: O.laneCount, y: O.fanoExcess - s })).filter((O) => O.y > 1e-9); + if (d.length < 3) continue; + let m = 0, u = 0, x = 0, y = 0; + const B = d.length; + for (const O of d) { + const J = Math.log(O.x), _ = Math.log(O.y); + m += J, u += _, x += J * J, y += J * _; + } + const F = B * x - m * m; + if (Math.abs(F) < 1e-12) continue; + const R = (B * y - m * u) / F, C = (u - R * m) / B, j = Math.exp(C), v = -R; + if (!(j > 0) || !(v > 0)) continue; + let L = 0; + for (const O of o) { + const J = s + j * Math.pow(Math.max(1, O.laneCount), -v), _ = Math.log(Math.max(1e-9, O.fanoExcess)) - Math.log(Math.max(1e-9, J)); + L += _ * _; + } + (!a || L < a.score) && (a = { A: j, alpha: v, B: s, score: L }); + } + return a ? { + A: a.A, + alpha: a.alpha, + B: a.B, + score: a.score, + predictFanoExcessFromLaneCount(c) { + return a.B + a.A * Math.pow(Math.max(1, c), -a.alpha); + } + } : null; +} +function sn(e) { + const t = e.filter((u) => u.x > 0 && u.y > 0); + if (t.length < 3) return null; + let o = 0, r = 0, l = 0, a = 0; + const h = t.length; + for (const u of t) { + const x = Math.log(u.x), y = Math.log(u.y); + o += x, r += y, l += x * x, a += x * y; + } + const c = h * l - o * o; + if (Math.abs(c) < 1e-12) return null; + const s = (h * a - o * r) / c, d = (r - s * o) / h, m = Math.exp(d); + return { + A: m, + beta: s, + predict(u) { + return m * Math.pow(Math.max(1e-9, u), s); + }, + invert(u) { + return m <= 0 || Math.abs(s) < 1e-12 || u <= 0 ? null : Math.pow(u / m, 1 / s); + } + }; +} +function ln(e, t) { + if (!Number.isFinite(t) || t <= 0 || e.length === 0) return null; + const o = [...e].sort((s, d) => s.complexity - d.complexity), r = [...o].sort((s, d) => s.laneCount - d.laneCount), l = r[0], a = r[r.length - 1]; + if (t <= l.laneCount) + return { complexity: l.complexity, mode: "observed-range" }; + for (let s = 1; s < r.length; s++) { + const d = r[s - 1], m = r[s]; + if (t <= m.laneCount) { + const u = Math.max(1e-9, m.laneCount - d.laneCount), x = (t - d.laneCount) / u; + return { + complexity: d.complexity + x * (m.complexity - d.complexity), + mode: "observed-range" + }; + } + } + const c = sn(o.map((s) => ({ x: s.complexity, y: s.laneCount })))?.invert(t) ?? null; + return c && Number.isFinite(c) ? { complexity: c, mode: "extrapolated" } : { complexity: a.complexity, mode: "observed-max" }; +} +function Tt(e, t, o, r) { + return e.map((l, a) => `${a === 0 ? "M" : "L"} ${o(l.complexity)} ${r(t(l))}`).join(" "); +} +function cn(e) { + return e >= 10 ? e.toFixed(0) : e >= 2 ? e.toFixed(1) : e.toFixed(2); +} +function dn(e, t) { + const r = [ + 0.5, + 0.6, + 0.7, + 0.8, + 0.9, + 1, + 1.1, + 1.2, + 1.4, + 1.6, + 1.8, + 2, + 2.5, + 3, + 4, + 5, + 7.5, + 10 + ].filter((c) => c >= e && c <= t); + if (r.length >= 3) return r; + const l = 5, a = Math.log(e), h = Math.log(t); + return Array.from({ length: l }, (c, s) => { + const d = s / (l - 1); + return Math.exp(a + (h - a) * d); + }); +} +function pn(e) { + const [t, o] = $(40), [r, l] = $(1e3), [a, h] = $(3), [c, s] = $(1), [d, m] = $(4), [u, x] = $("randomSphere"), [y, B] = $(0.05), [F, R] = $(10), [C, j] = $(0), [v, L] = $([]), [O, J] = $(0), [_, k] = $(!1), A = Z(!1), ee = Z(-1), z = () => { + Ce(e.host, we.hover, { page: "fano" }); + }, D = (b, T) => { + Ce(e.host, we.click, { page: "fano", target: b, ...T }); + }; + de(() => { + let b = !1; + return L([]), J(0), k(!0), (async () => { + const T = []; + for (let E = 1; E <= t; E++) { + if (b) return; + const I = on({ + complexity: E, + samplesPerPoint: r, + runsPerPoint: a, + binSize: c, + subBinSampling: d, + props: e, + observationMode: u, + seed: 1e4 + E * 97 + C * 100003 + }); + T.push(I), L([...T]), J(E / t), await new Promise((ne) => setTimeout(ne, 0)); + } + b || k(!1); + })(), () => { + b = !0; + }; + }, [ + t, + r, + a, + c, + d, + u, + C, + e.radius, + e.distance, + e.chandraDistance, + e.allSectors, + e.cumulative, + e.theta, + e.phi, + e.orbitSpeed, + e.thetaDrift, + e.thetaJitter, + e.phiJitter, + e.K, + e.speedup, + e.usePoisson + ]), de(() => { + const b = A.current; + if (A.current = _, _ && !b) { + ee.current = -1, Ce(e.host, we.computeStart, { page: "fano" }); + return; + } + !_ && b && (Yt(e.host, we.computeStep, { page: "fano" }), Ce(e.host, we.computeDone, { page: "fano", points: v.length })); + }, [_, e.host, v.length]), de(() => { + if (!_) return; + const b = Math.floor(O * 10); + b <= ee.current || (ee.current = b, Ce(e.host, we.computeStep, { page: "fano", progress: O })); + }, [O, _, e.host]); + const N = he(() => rn(v, F), [v, F]), P = he(() => an(v, F), [v, F]), H = he(() => { + if (!N || N.alpha <= 0 || y <= 0) return null; + if (P && P.B >= y) + return { + targetExcess: y, + requiredLaneCount: Number.POSITIVE_INFINITY, + measuredCrossing: v.find((se) => se.fanoExcess <= y) ?? null, + complexityEstimate: null, + blockedByFloor: !0, + floorExcess: P.B + }; + const b = P ? Math.max(1e-9, y - P.B) : y, T = P ? P.A : N.A, E = P ? P.alpha : N.alpha, I = Math.pow(T / b, 1 / E); + if (!Number.isFinite(I) || I <= 0) return null; + const ne = v.find((se) => se.fanoExcess <= y) ?? null, G = ln(v, I); + return { + targetExcess: y, + requiredLaneCount: I, + measuredCrossing: ne, + complexityEstimate: G, + blockedByFloor: !1, + floorExcess: P?.B ?? 0 + }; + }, [N, P, v, y]), g = he(() => { + const E = { top: 20, right: 20, bottom: 42, left: 48 }, I = 860 - E.left - E.right, ne = 360 - E.top - E.bottom, G = Math.max(2, t), se = [ + 1, + ...v.map((Y) => Y.fanoBlue), + ...v.map((Y) => Y.fanoYellow), + ...v.map((Y) => 1 + Y.fanoExcess) + ].filter((Y) => Number.isFinite(Y) && Y > 0), ve = Math.min(...se), Re = Math.max(...se), X = Math.max(1e-3, Math.min(0.95, ve * 0.95)), Pe = Math.max(1.05, Re * 1.05), Be = Math.log(X), Je = Math.log(Pe), me = (Y) => E.left + (Y - 1) / (G - 1) * I, Ee = (Y) => { + const Ie = Math.min(Pe, Math.max(X, Y)), le = Math.log(Ie); + return E.top + ne - (le - Be) / Math.max(1e-9, Je - Be) * ne; + }, Se = dn(X, Pe); + return { width: 860, height: 360, margin: E, innerW: I, innerH: ne, xToPx: me, yToPx: Ee, yMax: Pe, yMin: X, yTicks: Se }; + }, [v, t]), ue = he( + () => v.length > 1 ? Tt(v, (b) => b.fanoBlue, g.xToPx, g.yToPx) : "", + [v, g] + ), ke = he( + () => v.length > 1 ? Tt(v, (b) => b.fanoYellow, g.xToPx, g.yToPx) : "", + [v, g] + ), q = v.at(-1) ?? null; + return /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "auto" }, children: /* @__PURE__ */ i( + "div", + { + style: { + width: "100%", + height: "100%", + display: "flex", + flexDirection: "column", + background: "radial-gradient(circle at 20% 10%, rgba(30,41,59,0.9), rgba(2,6,23,0.96))", + color: "var(--terminal-green-soft)", + padding: "16px", + paddingBottom: `${16 + (e.bottomInset ?? 0)}px`, + boxSizing: "border-box", + gap: "12px", + fontFamily: "var(--font-ui)" + }, + children: [ + /* @__PURE__ */ i("div", { style: { display: "flex", justifyContent: "space-between", alignItems: "center", gap: "12px", flexWrap: "wrap" }, children: [ + /* @__PURE__ */ i("div", { children: [ + /* @__PURE__ */ n("div", { style: { fontSize: "14px", fontWeight: 400, letterSpacing: "0.12em", textTransform: "uppercase", fontFamily: "var(--font-headline)", color: "var(--terminal-green-soft)" }, children: "Fano Sweep" }), + /* @__PURE__ */ i("div", { style: { fontSize: "11px", color: "var(--terminal-green)", marginTop: "4px" }, children: [ + "Goal: show ", + "Fano(Blue)", + " trending toward 1.0 (or toward Yellow) as complexity increases." + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", gap: "8px", flexWrap: "wrap" }, children: [ + e.onBack && /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("back-to-simulator"), e.onBack?.(); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "8px 12px", + borderRadius: "8px", + cursor: "pointer", + fontSize: "12px", + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.08em", + textTransform: "uppercase" + }, + children: "Back To Simulator" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("rerun-sweep"), j((b) => b + 1); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: _ ? "rgba(125, 255, 155, 0.14)" : "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "8px 12px", + borderRadius: "8px", + cursor: "pointer", + fontSize: "12px", + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.08em", + textTransform: "uppercase" + }, + children: _ ? 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var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Bin Size (s)", + /* @__PURE__ */ n( + "input", + { + type: "number", + min: 0.1, + max: 20, + step: 0.1, + value: c, + onChange: (b) => s(Math.max(0.1, Math.min(20, Number(b.target.value) || 0.1))), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Sub-Bin Sampling", + /* @__PURE__ */ n( + "input", + { + type: "number", + min: 1, + max: 256, + step: 1, + value: d, + onChange: (b) => m(Math.max(1, Math.min(256, 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var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("div", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "6px" }, children: [ + "Progress", + /* @__PURE__ */ n("div", { style: { background: "rgba(7,19,11,0.9)", border: "1px solid var(--terminal-panel-border)", borderRadius: "999px", padding: "3px" }, children: /* @__PURE__ */ n( + "div", + { + style: { + height: "8px", + width: `${Math.round(O * 100)}%`, + background: "linear-gradient(90deg, var(--terminal-green-dim), var(--terminal-green-soft))", + borderRadius: "999px", + transition: "width 0.15s ease" + } + } + ) }), + /* @__PURE__ */ n("div", { style: { color: "var(--terminal-green)" }, children: _ ? `Running ${Math.round(O * 100)}%` : "Complete" }) + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", flexDirection: "column", gap: "12px", minHeight: 0, flex: 1 }, children: [ + /* @__PURE__ */ n( + "div", + { + style: { + background: "rgba(7,19,11,0.72)", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "10px", + padding: "10px", + width: "100%", + minWidth: 0, + minHeight: "min(58vh, 520px)" + }, + children: /* @__PURE__ */ i("svg", { viewBox: `0 0 ${g.width} ${g.height}`, style: { width: "100%", height: "100%" }, children: [ + /* @__PURE__ */ n("rect", { x: 0, y: 0, width: g.width, height: g.height, fill: "transparent" }), + g.yTicks.map((b, T) => { + const E = g.yToPx(b); + return /* @__PURE__ */ i("g", { children: [ + /* @__PURE__ */ n("line", { x1: g.margin.left, y1: E, x2: g.margin.left + g.innerW, y2: E, stroke: "rgba(125, 255, 155, 0.12)" }), + /* @__PURE__ */ n("text", { x: 8, y: E + 4, fill: "var(--terminal-green)", fontSize: "10", fontFamily: "var(--font-ui)", children: cn(b) }) + ] }, `ygrid-${T}`); + }), + /* @__PURE__ */ n( + "line", + { + x1: g.margin.left, + y1: g.yToPx(1), + x2: g.margin.left + g.innerW, + y2: g.yToPx(1), + stroke: 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textAnchor: "middle", children: Math.round(E) }) + ] }, `xtick-${T}`); + }), + ke && /* @__PURE__ */ n("path", { d: ke, fill: "none", stroke: "#fbbf24", strokeWidth: "2", opacity: 0.95 }), + ue && /* @__PURE__ */ n("path", { d: ue, fill: "none", stroke: "#60a5fa", strokeWidth: "2.25", opacity: 0.95 }), + N && v.length > 2 && (() => { + const b = v.filter((T) => T.complexity >= F).map((T, E) => { + const I = 1 + N.predictFanoExcessFromLaneCount(T.laneCount); + return `${E === 0 ? 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Re - ve + 1 : E, Pe = se ? 1 : Math.max(1e-9, (G - ne) / E), Be = (f) => { + if (se) { + const S = Math.round(f); + return S <= ve ? 0 : S >= Re ? X - 1 : S - ve; + } + return f < ne ? 0 : f >= G ? X - 1 : Math.floor((f - ne) / Pe); + }, Je = (f) => se ? ve + f : ne + (f + 0.5) * Pe, [me, Ee] = $(new Array(X).fill(0)), [Se, Y] = $(new Array(X).fill(0)), [Ie, le] = $(/* @__PURE__ */ new Set()), [qe, Le] = $(/* @__PURE__ */ new Set()), [Ne, ze] = $([]), $e = Z(0), _e = Z(at()), [U, Ze] = $(at()), et = Z(R), tt = Z(0); + de(() => { + Ee(new Array(X).fill(0)), Y(new Array(X).fill(0)), N.current.fill(-1), P.current.fill(-1), H.current = 0, ue(new Array(D).fill(-1)), q(new Array(D).fill(-1)), le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set()), ze([]), _e.current = at(), Ze(at()), A({ + current: 0, + total: 0, + lastCheck: 0, + overlaps: 0, + currentTheory: 0, + binOverlapsMean: 0, + currentExpectedLightlane: 0 + }); + }, [e, s, t, o, d, r, l, a, m, u, x, y, h, c, B, X]); + const nt = (f, S) => { + if (f.length === 0) return; + let w = 0, oe = 0, te = 0, fe = k.binOverlapsMean, V = k.currentExpectedLightlane, re = _e.current; + for (const ie of f) { + const ge = ie.lightlane, xe = ie.isotropic; + if (w += ge, oe = ge, te = xe, fe = ie.overlapsMean, V = ie.lambdaLightlaneExpected, re = yn(re, ge, xe), N.current[H.current] = ge, P.current[H.current] = xe, H.current++, H.current >= D) { + const Me = Math.max(10, ...N.current.filter((Q) => Q >= 0), ...P.current.filter((Q) => Q >= 0)); + K([...N.current], [...P.current], Me), N.current.fill(-1), P.current.fill(-1), H.current = 0, le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set()); + } + } + _e.current = re, A((ie) => ({ + current: oe, + total: ie.total + w, + lastCheck: Date.now(), + overlaps: S, + currentTheory: te, + binOverlapsMean: fe, + currentExpectedLightlane: V + })), Ze(re), ue([...N.current]), q([...P.current]); + }, He = Z(!1), We = Z(null), ot = (f, S) => { + f.stopPropagation(), He.current = !0, We.current = S, f.target.setPointerCapture(f.pointerId), Ce(O, we.click, { target: `${S}-periodogram`, action: "pointer-down" }); + }, rt = (f, S, w, oe) => { + if (!He.current || We.current !== S) return; + f.stopPropagation(); + const te = f.currentTarget.getBoundingClientRect(), fe = f.clientX - te.left, V = Math.floor(fe / te.width * D); + if (V >= 0 && V < D) { + const re = w[V], ie = S === "observed" ? Ie.has(V) : qe.has(V); + re >= 0 && !ie && W(V, re, S, oe); + } + }, p = (f) => { + f.stopPropagation(), He.current = !1, We.current = null; + }, M = (f, S, w, oe) => { + const te = window.innerWidth, fe = f / D * te, V = te / D, re = Math.max(2, S / oe * 80), xe = w === "observed" ? 25 : 110, Me = Be(S), Q = 20, be = te - 2 * Q, Te = Q + (Me + 0.5) / X * be; + return { startLeft: fe, startBottom: xe, barHeight: re, barWidth: V, targetLeft: Te, targetTop: 150, binIndex: Me }; + }, W = (f, S, w, oe) => { + if (S < 0) return; + const te = Date.now(); + te - tt.current >= 45 && (tt.current = te, Ce(O, we.computeStep, { target: `${w}-periodogram`, value: S })); + const { startLeft: fe, startBottom: V, barHeight: re, barWidth: ie, targetLeft: ge, targetTop: xe } = M(f, S, w, oe), Me = { + id: $e.current++, + value: S, + startLeft: fe, + startBottom: V, + barHeight: re, + barWidth: ie, + targetLeft: ge, + targetTop: xe, + color: w === "observed" ? ae.solid : ce.solid, + type: w + }; + ze((Q) => [...Q, Me]), w === "observed" ? (le((Q) => new Set(Q).add(f)), Ee((Q) => { + const be = [...Q], Te = Be(S); + return be[Te]++, be; + })) : (Le((Q) => new Set(Q).add(f)), Y((Q) => { + const be = [...Q], Te = Be(S); + return be[Te]++, be; + })); + }, K = (f, S, w) => { + const oe = [], te = [...me], fe = [...Se]; + f.forEach((V, re) => { + if (V >= 0) { + const { startLeft: ie, startBottom: ge, barHeight: xe, barWidth: Me, targetLeft: Q, targetTop: be, binIndex: Te } = M(re, V, "observed", w); + oe.push({ + id: $e.current++, + value: V, + startLeft: ie, + startBottom: ge, + barHeight: xe, + barWidth: Me, + targetLeft: Q, + targetTop: be, + color: ae.solid, + type: "observed" + }), te[Te]++; + } + }), S.forEach((V, re) => { + if (V >= 0) { + const { startLeft: ie, startBottom: ge, barHeight: xe, barWidth: Me, targetLeft: Q, targetTop: be, binIndex: Te } = M(re, V, "theory", w); + oe.push({ + id: $e.current++, + value: V, + startLeft: ie, + startBottom: ge, + barHeight: xe, + barWidth: Me, + targetLeft: Q, + targetTop: be, + color: ce.solid, + type: "theory" + }), fe[Te]++; + } + }), ze((V) => [...V, ...oe]), Ee(te), Y(fe); + }; + de(() => { + if (Ne.length > 0) { + const f = setTimeout(() => { + ze([]); + }, 1300); + return () => clearTimeout(f); + } + }, [Ne.length]); + const Ve = Z(0); + de(() => { + H.current < Ve.current && (le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set())), Ve.current = H.current; + }), de(() => { + const f = et.current; + if (et.current = R, !R || f) return; + const S = z.flushPartialBin(); + S && nt([S], S.overlaps); + }, [R, z]), Qe((f, S) => { + if (R) return; + const w = z.simulate(S * F); + w.subBinEvents > 0 && A((oe) => ({ ...oe, overlaps: w.lastLaneCount })), nt(w.bins, w.lastLaneCount); + }); + const zt = g.filter((f) => f >= 0), Rt = ke.filter((f) => f >= 0), lt = Math.max(10, Math.max(0, ...zt)), ct = Math.max(10, Math.max(0, ...Rt)), ft = Math.max(1, ...me, ...Se), gt = U.n > 1 ? U.m2Obs / (U.n - 1) : 0, dt = U.n > 1 ? U.m2Iso / (U.n - 1) : 0, Lt = U.meanIso > 0 ? U.meanObs / U.meanIso : 0, xt = dt > 0 ? gt / dt : 0, pt = U.meanObs > 0 ? gt / U.meanObs : 0, Xe = U.meanIso > 0 ? dt / U.meanIso : 0, ht = z.getLaneCount(), bt = ht > 0 && s > 0 ? ht * b / s : 0, yt = v && !L, Ke = C !== "lightlane", Oe = C !== "poisson", $t = Ne.filter((f) => f.type === "theory" && Ke || f.type === "observed" && Oe), Ot = C === "poisson" ? "Shot Noise Distribution" : C === "lightlane" ? "Shot Noise + Lightlane" : "Head to Head", je = { + background: "rgba(255,255,255,0.04)", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "6px", + padding: "6px 8px", + fontFamily: pe + }, vt = /* @__PURE__ */ i("div", { style: { + marginTop: L ? "0" : "12px", + display: "grid", + gridTemplateColumns: L ? "1fr" : "repeat(3, minmax(0, 1fr))", + gap: L ? "6px" : "8px", + fontSize: "10px", + color: Ae, + fontFamily: pe + }, children: [ + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Samples" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace" }, children: U.n }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Mean Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: Ae }, children: U.n > 0 ? Lt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Var Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: xt > 1.1 ? ae.light : ce.light }, children: U.n > 1 ? xt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Lightlane" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: ae.light }, children: U.n > 1 ? pt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Poisson" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: ce.light }, children: U.n > 1 ? Xe.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: Xe > 0 && pt / Xe > 1.05 ? ae.light : Ae }, children: U.n > 1 && Xe > 0 ? (pt / Xe).toFixed(3) : "n/a" }) + ] }) + ] }), St = /* @__PURE__ */ i("div", { style: { + marginTop: L ? "6px" : "8px", + display: L ? "grid" : "flex", + gridTemplateColumns: L ? "1fr" : void 0, + justifyContent: L ? void 0 : "center", + gap: L ? "4px" : "12px", + flexWrap: L ? void 0 : "wrap", + fontSize: "10px", + color: ye, + fontFamily: pe + }, children: [ + /* @__PURE__ */ i("span", { children: [ + "LC(now): ", + k.overlaps + ] }), + /* @__PURE__ */ i("span", { children: [ + "LC(bin avg): ", + k.binOverlapsMean.toFixed(2) + ] }), + /* @__PURE__ */ i("span", { children: [ + "LC iso target: ", + Number.isFinite(bt) ? bt.toFixed(2) : "n/a" + ] }), + /* @__PURE__ */ i("span", { children: [ + "E[Lightlane|bin]: ", + k.currentExpectedLightlane.toFixed(2) + ] }), + /* @__PURE__ */ i("span", { children: [ + "Lightlane(last): ", + typeof k.current == "number" ? Number(k.current).toFixed(2) : k.current + ] }), + /* @__PURE__ */ i("span", { children: [ + "Lanes: ", + ht + ] }), + /* @__PURE__ */ i("span", { children: [ + "Mode: ", + a === "randomSphere" ? "Random Sphere" : "Orbit" + ] }), + /* @__PURE__ */ i("span", { children: [ + "theta drift: ", + u.toFixed(3) + ] }), + /* @__PURE__ */ i("span", { children: [ + "theta jitter: ", + x.toFixed(3) + ] }), + /* @__PURE__ */ i("span", { children: [ + "phi jitter: ", + y.toFixed(3) + ] }) + ] }); + return /* @__PURE__ */ i(Fe, { children: [ + !_ && /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none" }, children: /* @__PURE__ */ n(bn, { bars: $t }) }), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", display: "flex", flexDirection: "column", justifyContent: J ? "center" : "flex-start" }, children: [ + /* @__PURE__ */ i("div", { style: { + position: "absolute", + top: "18px", + left: "20px", + right: "20px", + color: Ae, + fontSize: "12px", + fontWeight: 400, + textAlign: "center", + textTransform: "uppercase", + letterSpacing: "0.16em", + fontFamily: it + }, children: [ + Ot, + /* @__PURE__ */ i("span", { style: { fontSize: "10px", fontWeight: "normal", marginLeft: "10px", opacity: 0.8, fontFamily: pe, color: xn }, children: [ + "(λ = ", + b.toFixed(1), + ", σ = ", + T.toFixed(1), + ")" + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { + width: "100%", + padding: J ? "20px" : "60px 20px 20px 20px", + background: J ? "transparent" : "linear-gradient(to bottom, rgba(0,0,0,0.9), transparent)", + fontFamily: pe, + alignSelf: "center" + }, children: [ + /* @__PURE__ */ n("div", { style: { + position: "absolute", + left: "5px", + top: J ? "130px" : "170px", + transform: "rotate(-90deg)", + transformOrigin: "left top", + fontSize: "10px", + color: ye, + fontStyle: "italic", + whiteSpace: "nowrap", + fontFamily: pe + }, children: "← Frequency (how many)" }), + /* @__PURE__ */ n("div", { style: { + display: "flex", + height: "100px", + gap: "2px", + alignItems: "flex-end", + padding: "0 20px" + }, children: me.map((f, S) => { + const w = Se[S], oe = f / ft * 100, te = w / ft * 100; + return /* @__PURE__ */ i("div", { style: { + flex: 1, + display: "flex", + flexDirection: "column", + alignItems: "center", + position: "relative", + height: "100%", + justifyContent: "flex-end" + }, children: [ + /* @__PURE__ */ i("div", { style: { + width: "100%", + display: "flex", + justifyContent: "center", + gap: "1px", + alignItems: "flex-end", + height: "100%", + position: "relative" + }, children: [ + Ke && /* @__PURE__ */ n("div", { style: { + width: Oe ? "45%" : "92%", + height: `${te}%`, + background: `linear-gradient(to top, ${ce.solid}, ${ce.dark})`, + borderRadius: "2px 2px 0 0", + minHeight: w > 0 ? "2px" : "0", + transition: "height 0.3s ease", + boxShadow: w > 0 ? `0 0 5px ${ce.glow}` : "none", + position: "relative" + }, children: w > 0 && /* @__PURE__ */ n("div", { style: { + position: "absolute", + top: "-16px", + left: "50%", + transform: "translateX(-50%)", + fontSize: "9px", + fontWeight: "bold", + color: ce.solid, + textShadow: "0 0 3px rgba(0,0,0,0.8)" + }, children: w }) }), + Oe && /* @__PURE__ */ n("div", { style: { + width: Ke ? "45%" : "92%", + height: `${oe}%`, + background: `linear-gradient(to top, ${ae.solid}, ${ae.dark})`, + borderRadius: "2px 2px 0 0", + minHeight: f > 0 ? "2px" : "0", + transition: "height 0.3s ease", + boxShadow: f > 0 ? `0 0 5px ${ae.glow}` : "none", + position: "relative" + }, children: f > 0 && /* @__PURE__ */ n("div", { style: { + position: "absolute", + top: "-16px", + left: "50%", + transform: "translateX(-50%)", + fontSize: "9px", + fontWeight: "bold", + color: ae.solid, + textShadow: "0 0 3px rgba(0,0,0,0.8)" + }, children: f }) }) + ] }), + /* @__PURE__ */ n("div", { style: { + position: "absolute", + bottom: "-18px", + fontSize: "9px", + color: ye, + fontWeight: "bold", + fontFamily: pe + }, children: Je(S).toFixed(0) }) + ] }, S); + }) }), + /* @__PURE__ */ n("div", { style: { + textAlign: "center", + marginTop: "25px", + fontSize: "10px", + color: ye, + fontStyle: "italic", + fontFamily: pe + }, children: "Photon Count Value →" }), + /* @__PURE__ */ i("div", { style: { + display: "flex", + justifyContent: "center", + gap: "20px", + marginTop: "25px", + fontSize: "10px" + }, children: [ + Ke && /* @__PURE__ */ i("div", { style: { display: "flex", alignItems: "center", gap: "5px" }, children: [ + /* @__PURE__ */ n("div", { style: { width: "12px", height: "12px", background: ce.solid, borderRadius: "2px" } }), + /* @__PURE__ */ n("span", { style: { color: ce.solid }, children: "Theory (Poisson)" }) + ] }), + Oe && /* @__PURE__ */ i("div", { style: { display: "flex", alignItems: "center", gap: "5px" }, children: [ + /* @__PURE__ */ n("div", { style: { width: "12px", height: "12px", background: ae.solid, borderRadius: "2px" } }), + /* @__PURE__ */ n("span", { style: { color: ae.solid }, children: "Observed (Lightlanes)" }) + ] }) + ] }), + yt && vt, + yt && St + ] }) + ] }), + v && L && /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none" }, children: /* @__PURE__ */ i("div", { style: { + position: "absolute", + top: "88px", + left: "12px", + width: "min(300px, calc(100vw - 24px))", + background: "linear-gradient(to bottom, rgba(0,0,0,0.88), rgba(0,0,0,0.55))", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "10px", + padding: "10px", + boxShadow: "0 8px 24px rgba(0,0,0,0.35)", + fontFamily: pe + }, children: [ + /* @__PURE__ */ n("div", { style: { + color: Ae, + fontSize: "10px", + textTransform: "uppercase", + letterSpacing: "0.08em", + marginBottom: "8px", + fontWeight: 400, + fontFamily: it + }, children: "Diagnostics" }), + vt, + St + ] }) }), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", display: "flex", flexDirection: "column", justifyContent: "flex-end", paddingBottom: `${j}px`, boxSizing: "border-box" }, children: [ + Ke && /* @__PURE__ */ i( + "div", + { + onPointerDown: (f) => ot(f, "theory"), + onPointerMove: (f) => rt(f, "theory", ke, ct), + onPointerUp: p, + onPointerLeave: p, + style: { + width: "100%", + height: "100px", + background: `linear-gradient(to top, ${ce.panel}, transparent)`, + display: "flex", + alignItems: "flex-end", + padding: Oe ? "0 20px 5px 20px" : "0 20px 20px 20px", + gap: "2px", + position: "relative", + borderBottom: Oe ? "1px solid #555" : "none", + pointerEvents: "auto", + touchAction: "none", + cursor: "crosshair" + }, + children: [ + /* @__PURE__ */ n("div", { style: { position: "absolute", top: "10px", left: "20px", color: ce.solid, fontSize: "10px", fontWeight: 400, pointerEvents: "none", fontFamily: it, letterSpacing: "0.08em" }, children: "THEORY (Poisson) - Swipe or click to count" }), + ke.map((f, S) => { + const w = qe.has(S); + return /* @__PURE__ */ n( + "div", + { + className: f >= 0 && !w ? "clickable-bar" : "", + style: { + flex: 1, + height: f >= 0 && !w ? `${f / ct * 100}%` : "0", + background: f === 0 ? "rgba(255,255,255,0.1)" : ce.solid, + color: ce.solid, + minHeight: f >= 0 && !w ? "1px" : "0", + transition: "all 0.3s ease", + opacity: w ? 0 : 0.8, + borderRadius: "2px 2px 0 0", + transform: w ? "scale(0)" : "scale(1)", + pointerEvents: "none" + } + }, + S + ); + }), + /* @__PURE__ */ i("div", { style: { position: "absolute", bottom: "10px", right: "80px", color: Ae, fontFamily: pe, fontSize: "10px", pointerEvents: "none" }, children: [ + "Max: ", + ct + ] }) + ] + } + ), + Oe && /* @__PURE__ */ i( + "div", + { + onPointerDown: (f) => ot(f, "observed"), + onPointerMove: (f) => rt(f, "observed", g, lt), + onPointerUp: p, + onPointerLeave: p, + style: { + width: "100%", + height: "100px", + background: "linear-gradient(to top, rgba(0,0,0,0.8), transparent)", + display: "flex", + alignItems: "flex-end", + padding: "0 20px 20px 20px", + gap: "2px", + position: "relative", + pointerEvents: "auto", + touchAction: "none", + cursor: "crosshair" + }, + children: [ + /* @__PURE__ */ n("div", { style: { position: "absolute", top: "10px", left: "20px", color: ae.solid, fontSize: "10px", fontWeight: 400, pointerEvents: "none", fontFamily: it, letterSpacing: "0.08em" }, children: "OBSERVED (Lightlanes) - Swipe or click to count" }), + g.map((f, S) => { + const w = Ie.has(S); + return /* @__PURE__ */ n( + "div", + { + className: f >= 0 && !w ? "clickable-bar" : "", + style: { + flex: 1, + height: f >= 0 && !w ? `${f / lt * 100}%` : "0", + background: f === 0 ? "rgba(255,255,255,0.1)" : f > 0 ? ae.solid : "transparent", + color: ae.solid, + minHeight: f >= 0 && !w ? "2px" : "0", + transition: "all 0.3s ease", + borderTop: f >= 0 && !w ? `2px solid ${ae.light}` : "none", + opacity: w ? 0 : 0.8, + position: "relative", + borderRadius: "2px 2px 0 0", + transform: w ? "scale(0)" : "scale(1)", + pointerEvents: "none" + }, + children: (S + 1) % 5 === 0 && !w && /* @__PURE__ */ n("div", { style: { + position: "absolute", + bottom: "-20px", + left: "50%", + transform: "translateX(-50%)", + width: "1px", + height: "5px", + background: "#fff", + opacity: 0.5, + pointerEvents: "none" + }, children: /* @__PURE__ */ n("span", { style: { position: "absolute", top: "5px", left: "-50%", fontSize: "10px", color: ye, fontFamily: pe }, children: S + 1 }) }) + }, + S + ); + }), + /* @__PURE__ */ i("div", { style: { position: "absolute", bottom: "10px", right: "80px", color: Ae, fontFamily: pe, fontSize: "10px" }, children: [ + "Max: ", + lt + ] }) + ] + } + ) + ] }) + ] }); +} +const Sn = { + complexity: 1, + radius: 2, + distance: 5, + chandraDistance: 6, + showAxes: !1, + // Cleaner look for challenge + lightlanes: !0, + // Always show lightlanes + allSectors: !0, + cumulative: !1, + phi: 0, + theta: Math.PI / 2, + observationMode: "orbit", + orbitSpeed: 0.2, + thetaDrift: 0, + thetaJitter: 0, + phiJitter: 0, + speedup: 1, + K: 1e3, + usePoisson: !0, + sceneView: "both", + hideScenePresentation: !1, + hideFlyingBars: !1, + hideDataBoxes: !1 +}; +function kn(e) { + const t = e.host, o = e.devUi?.compactNumericDiagnostics ?? !1, r = e.devUi?.maxComplexity ?? 20, l = e.devUi?.maxSpeedup ?? 240, a = 74, h = 20, c = e.config?.params || {}, { + complexity: s, + radius: d, + distance: m, + chandraDistance: u, + showAxes: x, + lightlanes: y, + allSectors: B, + cumulative: F, + phi: R, + theta: C, + observationMode: j, + orbitSpeed: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + speedup: _, + K: k, + usePoisson: A, + sceneView: ee, + hideScenePresentation: z, + hideFlyingBars: D, + hideDataBoxes: N + } = { ...Sn, ...c }, P = !N, H = Z(0), g = Z(0), [ue, ke] = $(!1), [q, b] = $("scene"), [T, E] = $(ee), [I, ne] = $(s), [G, se] = $(_), [ve, Re] = $(null), X = Z(null); + de(() => { + E(ee); + }, [ee]), de(() => { + ne(s); + }, [s]), de(() => { + se(_); + }, [_]); + const Pe = G > 20, Be = T !== "lightlane", Je = T !== "poisson", me = q === "scene" && T !== "poisson", Ee = (p) => p === "poisson" ? "Poisson" : p === "lightlane" ? "Lightlane" : "Both", Se = () => { + Ce(t, we.hover, { page: q, sceneView: T }); + }, Y = (p, M) => { + Ce(t, we.click, { page: q, sceneView: T, target: p, ...M }); + }, Ie = (p) => { + Re(p), X.current && clearTimeout(X.current), X.current = setTimeout(() => { + Re(null), X.current = null; + }, 1500); + }, le = (p) => { + const M = Array.from({ length: h }, (W, K) => K === 0 ? 1 : K === h - 1 ? p : Math.round(1 + (p - 1) * K / (h - 1))); + return Array.from(new Set(M)).sort((W, K) => W - K); + }, qe = (p, M) => { + const W = le(M); + return W.find((K) => p < K) ?? W[W.length - 1]; + }, Le = (p, M) => { + const W = le(M); + for (let K = W.length - 1; K >= 0; K -= 1) + if (p > W[K]) return W[K]; + return W[0]; + }, Ne = (p, M) => { + const W = le(M), K = W.findIndex((Ve) => p <= Ve); + return K >= 0 ? K : W.length - 1; + }, ze = Ne(I, r), $e = Ne(G, l), _e = `${(ze + 1) / h * 100}%`, U = `${($e + 1) / h * 100}%`, Ze = me && I > le(r)[0], et = me && I < le(r).at(-1), tt = G > le(l)[0], nt = G < le(l).at(-1), He = (p) => { + if (!me) return; + const M = p === "up" ? qe(I, r) : Le(I, r); + M !== I && (Y("complexity", { direction: p, value: M }), ne(M), e.devUi?.onSetParam?.("complexity", M), Ie(`Complexity ${M}`)); + }, We = (p) => { + const M = p === "up" ? qe(G, l) : Le(G, l); + M !== G && (Y("turbo", { direction: p, value: M }), se(M), e.devUi?.onSetParam?.("speedup", M), Ie(`Turbo ${M}x`)); + }, ot = () => { + const p = ["poisson", "lightlane", "both"], M = p.indexOf(T), W = p[(M + 1) % p.length]; + Y("mode", { value: W }), E(W), Ie(`Mode ${Ee(W)}`); + }, rt = () => { + Y("fano-page", { value: q === "scene" ? "fano" : "scene" }), b((p) => p === "scene" ? "fano" : "scene"); + }; + return de(() => { + const p = (M) => { + if (M.code !== "Space" || M.repeat) return; + const W = M.target, K = W?.tagName; + K === "INPUT" || K === "TEXTAREA" || W?.isContentEditable || (M.preventDefault(), ke((Ve) => !Ve)); + }; + return window.addEventListener("keydown", p), () => window.removeEventListener("keydown", p); + }, []), de(() => () => { + X.current && clearTimeout(X.current); + }, []), Qe((p, M) => { + ue || q === "fano" || (H.current += M * v * G, g.current += M * G); + }), de(() => { + H.current = 0, g.current = 0; + }, [ + I, + d, + m, + u, + R, + C, + j, + v, + L, + O, + J, + G, + k, + B, + F, + A + ]), /* @__PURE__ */ i(Fe, { children: [ + /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none", zIndex: 3e3 }, children: /* @__PURE__ */ n("div", { style: { position: "absolute", top: 12, right: 12, display: "flex", gap: 8, pointerEvents: "auto" }, children: /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + Y("advanced"), e.devUi?.onOpenHarness?.(); + }, + onPointerEnter: Se, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "10px 12px", + fontSize: 12, + fontWeight: 400, + letterSpacing: "0.08em", + fontFamily: "var(--font-headline)", + textTransform: "uppercase", + cursor: "pointer", + boxShadow: "0 8px 24px rgba(0,0,0,0.25)" + }, + children: "Advanced" + } + ) }) }), + /* @__PURE__ */ n("ambientLight", { intensity: 0.4 }), + /* @__PURE__ */ n("directionalLight", { position: [10, 10, 5], intensity: 1, castShadow: !0 }), + /* @__PURE__ */ n("pointLight", { position: [-10, -10, -10], intensity: 0.5, color: "blue" }), + q === "scene" ? /* @__PURE__ */ i(Fe, { children: [ + !z && Be && /* @__PURE__ */ n(un, { radius: u }), + !z && Je && /* @__PURE__ */ n( + Wt, + { + complexity: I, + lightlanes: y, + radius: d, + distance: m, + allSectors: B, + cumulative: F + } + ), + !z && /* @__PURE__ */ n(mn, { radius: d, paused: ue }), + /* @__PURE__ */ n( + gn, + { + radius: u, + theta: C, + phi: R, + orbitTime: H, + simTime: g, + thetaDrift: L, + paused: ue + } + ), + /* @__PURE__ */ n( + vn, + { + complexity: I, + radius: d, + distance: m, + theta: C, + phi: R, + observationMode: j, + allSectors: B, + cumulative: F, + K: k, + orbitRadius: u, + orbitVelocity: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + usePoisson: A, + speedup: G, + paused: ue, + sceneView: T, + bottomInset: a, + showNumericDiagnostics: P, + compactNumericDiagnostics: o, + host: t, + centerDistribution: z, + hideFlyingBars: D || Pe + } + ), + ue && /* @__PURE__ */ n("group", { position: [0, u + 1.5, 0], children: /* @__PURE__ */ i("mesh", { children: [ + /* @__PURE__ */ n("sphereGeometry", { args: [0.12, 16, 16] }), + /* @__PURE__ */ n("meshBasicMaterial", { color: "#ef4444", toneMapped: !1 }) + ] }) }), + x && /* @__PURE__ */ n("axesHelper", { args: [Math.max(5, I)] }), + /* @__PURE__ */ n( + At, + { + infiniteGrid: !0, + fadeDistance: 50, + sectionColor: "#333", + cellColor: "#111", + position: [0, -0.01, 0] + } + ) + ] }) : /* @__PURE__ */ n( + pn, + { + radius: d, + distance: m, + chandraDistance: u, + allSectors: B, + cumulative: F, + theta: C, + phi: R, + orbitSpeed: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + K: k, + speedup: G, + usePoisson: A, + bottomInset: a, + onBack: () => b("scene"), + host: t + } + ), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", zIndex: 3200 }, children: [ + ve && /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + top: "50%", + left: "50%", + transform: "translate(-50%, -50%) skewX(-12deg)", + padding: "16px 28px", + color: "var(--terminal-green-soft)", + fontFamily: "var(--font-headline)", + fontStyle: "italic", + fontSize: 42, + letterSpacing: "0.16em", + textTransform: "uppercase", + textShadow: "0 0 20px rgba(125,255,155,0.38), 0 0 42px rgba(125,255,155,0.18)" + }, + children: /* @__PURE__ */ n("span", { style: { display: "inline-block", transform: "skewX(12deg)" }, children: ve }) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 10, + bottom: a + 16, + width: 26, + height: "min(44vh, 320px)", + display: "flex", + alignItems: "flex-end" + }, + children: /* @__PURE__ */ i( + "div", + { + style: { + position: "relative", + width: "100%", + height: "100%", + borderRadius: 14, + border: "1px solid rgba(251,191,36,0.35)", + background: "linear-gradient(to top, rgba(30,18,0,0.92), rgba(7,19,11,0.15))", + boxShadow: "0 0 22px rgba(251,191,36,0.12)", + overflow: "hidden", + opacity: me ? 1 : 0.35, + transition: "opacity 0.2s ease" + }, + children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "6px", + borderRadius: 10, + border: "1px solid rgba(251,191,36,0.14)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 5, + right: 5, + bottom: 5, + height: _e, + borderRadius: 9, + background: "linear-gradient(to top, rgba(245,158,11,0.96), rgba(253,224,71,0.96))", + boxShadow: "0 0 18px rgba(251,191,36,0.5)", + transition: "height 0.25s ease" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "8px 7px", + display: "grid", + gridTemplateRows: `repeat(${h}, 1fr)`, + pointerEvents: "none" + }, + children: Array.from({ length: h }).map((p, M) => /* @__PURE__ */ n( + "div", + { + style: { + borderTop: M === 0 ? "none" : "1px solid rgba(251,191,36,0.15)" + } + }, + `complexity-tick-${M}` + )) + } + ), + /* @__PURE__ */ i( + "div", + { + style: { + position: "absolute", + left: 34, + bottom: 0, + color: "#fcd34d", + fontFamily: "var(--font-headline)", + fontSize: 10, + letterSpacing: "0.08em", + textTransform: "uppercase", + writingMode: "vertical-rl", + transform: "rotate(180deg)", + textShadow: "0 0 12px rgba(251,191,36,0.25)" + }, + children: [ + "Complexity ", + ze + 1, + "/", + h + ] + } + ) + ] + } + ) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + right: 10, + bottom: a + 16, + width: 26, + height: "min(44vh, 320px)", + display: "flex", + alignItems: "flex-end" + }, + children: /* @__PURE__ */ i( + "div", + { + style: { + position: "relative", + width: "100%", + height: "100%", + borderRadius: 14, + border: "1px solid rgba(244,114,182,0.35)", + background: "linear-gradient(to top, rgba(42,7,23,0.94), rgba(7,19,11,0.15))", + boxShadow: "0 0 22px rgba(244,114,182,0.14)", + overflow: "hidden" + }, + children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "6px", + borderRadius: 10, + border: "1px solid rgba(244,114,182,0.14)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 5, + right: 5, + bottom: 5, + height: U, + borderRadius: 9, + background: "linear-gradient(to top, rgba(236,72,153,0.96), rgba(244,114,182,0.98))", + boxShadow: "0 0 18px rgba(244,114,182,0.5)", + transition: "height 0.25s ease" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "8px 7px", + display: "grid", + gridTemplateRows: `repeat(${h}, 1fr)`, + pointerEvents: "none" + }, + children: Array.from({ length: h }).map((p, M) => /* @__PURE__ */ n( + "div", + { + style: { + borderTop: M === 0 ? "none" : "1px solid rgba(244,114,182,0.15)" + } + }, + `turbo-tick-${M}` + )) + } + ), + /* @__PURE__ */ i( + "div", + { + style: { + position: "absolute", + right: 34, + bottom: 0, + color: "#f9a8d4", + fontFamily: "var(--font-headline)", + fontSize: 10, + letterSpacing: "0.08em", + textTransform: "uppercase", + writingMode: "vertical-rl", + textShadow: "0 0 12px rgba(244,114,182,0.25)" + }, + children: [ + "Turbo ", + $e + 1, + "/", + h + ] + } + ) + ] + } + ) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 12, + right: 12, + bottom: 10, + display: "grid", + gridTemplateColumns: "repeat(4, minmax(0, 1fr))", + gap: 8, + pointerEvents: "auto" + }, + children: [ + { + label: "Complexity", + kind: "adjust", + active: !1, + disabled: !me, + accent: "rgba(245,158,11,0.2)", + sublabel: `${I} • ${ze + 1}/${h}`, + meterColor: "linear-gradient(to top, rgba(245,158,11,0.95), rgba(253,224,71,0.95))", + meterSide: "left", + meterFill: _e, + onDecrease: () => He("down"), + onIncrease: () => He("up"), + canDecrease: Ze, + canIncrease: et + }, + { + label: "Mode", + kind: "action", + onClick: ot, + active: !1, + accent: "rgba(59,130,246,0.18)", + sublabel: Ee(T) + }, + { + label: "Fano Sweep", + kind: "action", + onClick: rt, + active: q === "fano", + accent: "rgba(59,130,246,0.22)", + sublabel: q === "fano" ? "Open" : "Scene" + }, + { + label: "Turbo", + kind: "adjust", + active: !1, + accent: "rgba(34,197,94,0.2)", + sublabel: `${G}x • ${$e + 1}/${h}`, + meterColor: "linear-gradient(to top, rgba(236,72,153,0.95), rgba(244,114,182,0.95))", + meterSide: "right", + meterFill: U, + onDecrease: () => We("down"), + onIncrease: () => We("up"), + canDecrease: tt, + canIncrease: nt + } + ].map((p) => p.kind === "adjust" ? /* @__PURE__ */ i( + "div", + { + style: { + minHeight: 54, + border: "1px solid var(--terminal-panel-border)", + background: p.active ? p.accent : "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "8px 10px", + display: "flex", + flexDirection: "column", + alignItems: "center", + justifyContent: "center", + gap: 6, + boxShadow: p.active ? "0 0 18px rgba(125,255,155,0.12)" : "0 8px 24px rgba(0,0,0,0.25)", + position: "relative", + overflow: "hidden", + opacity: p.disabled ? 0.38 : 1 + }, + children: [ + "meterColor" in p && /* @__PURE__ */ i(Fe, { children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + top: 6, + bottom: 6, + left: p.meterSide === "left" ? 6 : void 0, + right: p.meterSide === "right" ? 6 : void 0, + width: 6, + borderRadius: 999, + background: "rgba(255,255,255,0.07)", + border: "1px solid rgba(255,255,255,0.08)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + bottom: 7, + left: p.meterSide === "left" ? 7 : void 0, + right: p.meterSide === "right" ? 7 : void 0, + width: 4, + height: p.meterFill, + borderRadius: 999, + background: p.meterColor, + boxShadow: p.meterSide === "left" ? "0 0 10px rgba(251,191,36,0.45)" : "0 0 10px rgba(244,114,182,0.45)", + transition: "height 0.25s ease" + } + } + ) + ] }), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-headline)", + fontSize: 11, + fontWeight: 400, + letterSpacing: "0.08em", + textTransform: "uppercase", + lineHeight: 1.1 + }, + children: p.label + } + ), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-ui)", + fontSize: 10, + color: "var(--terminal-green)", + letterSpacing: "0.08em", + lineHeight: 1 + }, + children: p.sublabel + } + ), + /* @__PURE__ */ i("div", { style: { display: "grid", gridTemplateColumns: "repeat(2, minmax(0, 1fr))", gap: 6, width: "100%", marginTop: "auto" }, children: [ + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: p.onDecrease, + onPointerEnter: Se, + disabled: p.disabled || !p.canDecrease, + style: { + border: "1px solid rgba(255,255,255,0.12)", + background: "rgba(255,255,255,0.04)", + color: "var(--terminal-green-soft)", + borderRadius: 8, + minHeight: 24, + cursor: p.disabled || !p.canDecrease ? "not-allowed" : "pointer", + fontFamily: "var(--font-headline)", + fontSize: 12, + letterSpacing: "0.08em", + opacity: p.disabled || !p.canDecrease ? 0.35 : 1, + position: "relative", + zIndex: 1 + }, + children: "-" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: p.onIncrease, + onPointerEnter: Se, + disabled: p.disabled || !p.canIncrease, + style: { + border: "1px solid rgba(255,255,255,0.12)", + background: "rgba(255,255,255,0.04)", + color: "var(--terminal-green-soft)", + borderRadius: 8, + minHeight: 24, + cursor: p.disabled || !p.canIncrease ? "not-allowed" : "pointer", + fontFamily: "var(--font-headline)", + fontSize: 12, + letterSpacing: "0.08em", + opacity: p.disabled || !p.canIncrease ? 0.35 : 1, + position: "relative", + zIndex: 1 + }, + children: "+" + } + ) + ] }) + ] + }, + p.label + ) : /* @__PURE__ */ i( + "button", + { + type: "button", + onClick: p.onClick, + onPointerEnter: Se, + disabled: "disabled" in p ? p.disabled : !1, + style: { + minHeight: 54, + border: "1px solid var(--terminal-panel-border)", + background: p.active ? p.accent : "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "8px 10px", + cursor: "disabled" in p && p.disabled ? "not-allowed" : "pointer", + display: "flex", + flexDirection: "column", + alignItems: "center", + justifyContent: "center", + gap: 2, + boxShadow: p.active ? "0 0 18px rgba(125,255,155,0.12)" : "0 8px 24px rgba(0,0,0,0.25)", + position: "relative", + overflow: "hidden", + opacity: "disabled" in p && p.disabled ? 0.38 : 1 + }, + children: [ + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-headline)", + fontSize: 11, + fontWeight: 400, + letterSpacing: "0.08em", + textTransform: "uppercase", + lineHeight: 1.1 + }, + children: p.label + } + ), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-ui)", + fontSize: 10, + color: "var(--terminal-green)", + letterSpacing: "0.08em", + lineHeight: 1 + }, + children: p.sublabel + } + ) + ] + }, + p.label + )) + } + ) + ] }), + /* @__PURE__ */ n("color", { attach: "background", args: ["#050505"] }) + ] }); +} +const Bn = { + name: "lightlane", + displayName: "Lightlane Challenge", + version: "1.1.0", + paramSchema: { + hideScenePresentation: { type: "boolean", label: "Hide Sphere + Lightlanes", default: !1 }, + hideFlyingBars: { type: "boolean", label: "Hide Flying Bars", default: !1 }, + hideDataBoxes: { type: "boolean", label: "Hide Data Boxes", default: !1 }, + complexity: { type: "range", label: "Complexity", default: 5, min: 1, max: 20, step: 1 }, + radius: { type: "range", label: "Distance to star", default: 2, min: 0.1, max: 5, step: 0.1 }, + chandraDistance: { type: "range", label: "Chandra Camera Distance", default: 6, min: 5, max: 30, step: 0.5 }, + observationMode: { + type: "select", + label: "Observation Mode", + default: "randomSphere", + options: [ + { value: "orbit", label: "Orbit" }, + { value: "randomSphere", label: "Random Sphere" } + ] + }, + sceneView: { + type: "select", + label: "Scene View", + default: "both", + options: [ + { value: "both", label: "Both" }, + { value: "poisson", label: "Poisson" }, + { value: "lightlane", label: "Lightlane" } + ] + }, + orbitSpeed: { type: "range", label: "Orbit Speed", default: 0.2, min: 0, max: 2, step: 0.01 }, + thetaDrift: { type: "range", label: "Theta Drift", default: 0, min: -1, max: 1, step: 0.01 }, + thetaJitter: { type: "range", label: "Theta Jitter", default: 0, min: 0, max: 0.25, step: 5e-3 }, + phiJitter: { type: "range", label: "Phi Jitter", default: 0, min: 0, max: 0.5, step: 0.01 }, + speedup: { type: "range", label: "Speedup", default: 1, min: 1, max: 240, step: 1 } + }, + defaultParams: { + complexity: 5, + radius: 2, + orbitSpeed: 0.2, + thetaDrift: 0, + thetaJitter: 0, + phiJitter: 0, + chandraDistance: 6, + observationMode: "randomSphere", + sceneView: "both", + speedup: 1, + // Internal defaults will handle the rest + distance: 5, + showAxes: !1, + lightlanes: !0, + allSectors: !0, + cumulative: !1, + phi: 0, + theta: Math.PI / 2, + K: 1e3, + usePoisson: !0, + hideScenePresentation: !1, + hideFlyingBars: !1, + hideDataBoxes: !1 + } +}; +export { + kn as default, + Bn as metadata +}; +//# sourceMappingURL=lightlane.js.map diff --git a/dist/vendor/glitch/glitch_lightlane/lightlane.js.map b/dist/vendor/glitch/glitch_lightlane/lightlane.js.map new file mode 100644 index 0000000..6b3be1e --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/lightlane.js.map @@ -0,0 +1 @@ +{"version":3,"file":"lightlane.js","sources":["../src/components/VectorArrow.tsx","../src/vectors.ts","../src/components/DiophantineVectors.tsx","../src/hostBridge.ts","../src/components/lightlane-engine.js","../src/components/FanoSweepPanel.tsx","../src/components/PoissonShell.tsx","../src/components/PulsingSphere.tsx","../src/components/OrbitingObject.tsx","../src/components/SamplingSystem.tsx","../src/types.ts","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useMemo } from 'react';\nimport * as THREE from 'three';\n\ninterface VectorArrowProps {\n vector: [number, number, number];\n origin?: [number, number, number];\n color?: string;\n}\n\nexport function VectorArrow({ vector, origin = [0, 0, 0], color = '#facc15' }: VectorArrowProps) {\n const { dir, len, position } = useMemo(() => {\n const start = new THREE.Vector3(...origin);\n const end = new THREE.Vector3(...vector);\n\n const len = start.distanceTo(end);\n const dir = end.clone().sub(start).normalize();\n\n // ArrowHelper takes direction, origin, length.\n return { dir, len, position: start };\n }, [vector, origin]);\n\n // Using primitive ArrowHelper for geometrical correctness and simplicity\n // We can wrap it in a primitive. \n // However, ArrowHelper manages its own geometry updates which can be tricky in React.\n // Re-creating the helper when props change is a safe pattern for simple props.\n const arrowHelper = useMemo(() => {\n return new THREE.ArrowHelper(dir, position, len, color, 0.2 * Math.min(len, 1) + 0.1, 0.1 * Math.min(len, 1) + 0.05);\n }, [dir, len, position, color]);\n\n return ;\n}\n","export type Vector3Tuple = [number, number, number];\n\nexport function getVectors(complexity: number, allSectors: boolean = false): Vector3Tuple[] {\n const vectors: Vector3Tuple[] = [];\n\n // Complexity N corresponds to integer solutions for x + y + z = N\n // where x, y, z >= 0\n\n for (let x = 0; x <= complexity; x++) {\n for (let y = 0; y <= complexity - x; y++) {\n const z = complexity - x - y;\n\n if (z >= 0) {\n if (!allSectors) {\n vectors.push([x, y, z]);\n } else {\n // Generate permutations for all octants\n // For each component, if it's non-zero, it can be + or -\n const xSigns = x === 0 ? [1] : [1, -1];\n const ySigns = y === 0 ? [1] : [1, -1];\n const zSigns = z === 0 ? [1] : [1, -1];\n\n for (const sx of xSigns) {\n for (const sy of ySigns) {\n for (const sz of zSigns) {\n vectors.push([x * sx, y * sy, z * sz]);\n }\n }\n }\n }\n }\n }\n }\n\n return vectors;\n}\n","import { useMemo } from 'react';\nimport { VectorArrow } from './VectorArrow';\nimport { getVectors } from '../vectors';\nimport * as THREE from 'three';\n\ninterface DiophantineVectorsProps {\n complexity: number;\n lightlanes?: boolean;\n radius?: number;\n distance?: number;\n allSectors?: boolean;\n cumulative?: boolean;\n}\n\nfunction LightlaneCylinder({ vector, radius, distance, color }: { vector: [number, number, number], radius: number, distance: number, color: string }) {\n const { position, quaternion } = useMemo(() => {\n const v = new THREE.Vector3(...vector).normalize();\n const up = new THREE.Vector3(0, 1, 0);\n const quaternion = new THREE.Quaternion().setFromUnitVectors(up, v);\n const position = v.clone().multiplyScalar(distance / 2);\n return { position, quaternion };\n }, [vector, distance]);\n\n return (\n \n \n \n \n );\n}\n\nexport function DiophantineVectors({ complexity, lightlanes = false, radius = 0.5, distance = 5, allSectors = false, cumulative = false }: DiophantineVectorsProps) {\n const vectorData = useMemo(() => {\n const data: { vec: [number, number, number], c: number }[] = [];\n\n const start = cumulative ? 1 : complexity;\n const end = complexity;\n\n for (let c = start; c <= end; c++) {\n const result = getVectors(c, allSectors);\n for (const v of result) {\n data.push({ vec: v, c });\n }\n }\n return data;\n }, [complexity, allSectors, cumulative]);\n\n // Helper to get color based on complexity\n // Low (1) -> Purple (~270)\n // High (max) -> Red (~0 or 360, but let's go down to 0)\n // But wait, standard HSL: Red=0/360, Purple=270.\n // User wants: Higher = Red, Lower = Purple.\n // So mapping: c=1 -> 270, c=max -> 0.\n const getColor = (c: number) => {\n const maxC = cumulative ? Math.max(complexity, 1) : complexity;\n const ratio = maxC > 1 ? (c - 1) / (maxC - 1) : 1;\n // inverse ratio for hue: 1 -> 0, 0 -> 1 ?\n // We want ratio 0 (c=1) -> 270\n // We want ratio 1 (c=max) -> 0\n const hue = 270 * (1 - ratio);\n return `hsl(${hue}, 100%, 50%)`;\n };\n\n return (\n \n {vectorData.map((item, i) => {\n const color = cumulative ? getColor(item.c) : (lightlanes ? \"#ff33c5\" : \"#4ade80\");\n\n return lightlanes ? (\n \n ) : (\n \n );\n })}\n \n );\n}\n","import type { GlitchHostBridge } from './types';\n\nexport const HOST_SOUND_EVENT = 'glitch:play-sound';\nexport const HOST_STOP_SOUND_EVENT = 'glitch:stop-sound';\nexport const HOST_EMIT_PREFIX = 'glitch:host:';\n\nexport const SOUND_IDS = {\n click: 'ui.button_click',\n hover: 'ui.button_hover',\n computeStart: 'machine.compute_start',\n computeStep: 'machine.compute_step',\n computeDone: 'machine.compute_done',\n verdictStable: 'machine.verdict_stable',\n verdictAlert: 'machine.verdict_alert'\n} as const;\n\nexport type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS];\n\nfunction dispatchWindowEvent(type: string, detail: T) {\n if (typeof window === 'undefined') return;\n window.dispatchEvent(new CustomEvent(type, { detail }));\n}\n\nexport function safePlaySound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.playSound) {\n host.playSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_SOUND_EVENT, { id, payload });\n}\n\nexport function safeStopSound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.stopSound) {\n host.stopSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_STOP_SOUND_EVENT, { id, payload });\n}\n\nexport function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown) {\n try {\n if (host?.emit) {\n host.emit(type, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(`${HOST_EMIT_PREFIX}${type}`, payload);\n}\n","// Pure JS sampling/simulation engine used by the React visualization.\n// The module owns the sampling state and exposes simulate(dt).\n\nconst EPS = 1e-12;\n\nexport function createRng(seed = 123456789) {\n let a = seed >>> 0;\n return function rand() {\n a |= 0;\n a = (a + 0x6d2b79f5) | 0;\n let t = Math.imul(a ^ (a >>> 15), 1 | a);\n t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t;\n return ((t ^ (t >>> 14)) >>> 0) / 4294967296;\n };\n}\n\nexport function samplePoisson(lambda, rand = Math.random) {\n if (!Number.isFinite(lambda) || lambda <= 0) return 0;\n\n if (lambda < 30) {\n const L = Math.exp(-lambda);\n let k = 0;\n let p = 1;\n do {\n k++;\n p *= rand();\n } while (p > L);\n return k - 1;\n }\n\n const u1 = Math.max(1e-12, rand());\n const u2 = rand();\n const z = Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n const x = lambda + Math.sqrt(lambda) * z;\n return Math.max(0, Math.round(x));\n}\n\nfunction toXYZ(v) {\n return [v[0] ?? v.x, v[1] ?? v.y, v[2] ?? v.z];\n}\n\nfunction norm3(x, y, z) {\n return Math.sqrt(x * x + y * y + z * z);\n}\n\nfunction wrapAngle(angle) {\n const twoPi = 2 * Math.PI;\n let a = angle % twoPi;\n if (a < 0) a += twoPi;\n return a;\n}\n\nfunction randomSphereAngles(rand) {\n const u = 2 * rand() - 1; // cos(theta) uniform\n const phi = 2 * Math.PI * rand();\n return {\n theta: Math.acos(Math.max(-1, Math.min(1, u))),\n phi,\n };\n}\n\n// Reflect polar angle back into [0, pi] so continuous drift can pass poles\n// without creating invalid spherical coordinates.\nexport function reflectPolarTheta(theta) {\n const twoPi = 2 * Math.PI;\n let t = theta % twoPi;\n if (t < 0) t += twoPi;\n if (t > Math.PI) t = twoPi - t;\n return t;\n}\n\nexport function sampleNormal(rand = Math.random) {\n const u1 = Math.max(1e-12, rand());\n const u2 = rand();\n return Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n}\n\nexport function vecOnSphereFromAngles(D, theta, phi) {\n const sinT = Math.sin(theta);\n return [\n D * sinT * Math.cos(phi),\n D * Math.cos(theta),\n D * sinT * Math.sin(phi),\n ];\n}\n\nexport function getDiophantineVectors(complexity, allSectors = false, cumulative = false) {\n const vectors = [];\n const start = cumulative ? 1 : complexity;\n const end = complexity;\n\n for (let c = start; c <= end; c++) {\n for (let x = 0; x <= c; x++) {\n for (let y = 0; y <= c - x; y++) {\n const z = c - x - y;\n if (!allSectors) {\n vectors.push([x, y, z]);\n continue;\n }\n\n const xSigns = x === 0 ? [1] : [1, -1];\n const ySigns = y === 0 ? [1] : [1, -1];\n const zSigns = z === 0 ? [1] : [1, -1];\n for (const sx of xSigns) {\n for (const sy of ySigns) {\n for (const sz of zSigns) {\n vectors.push([x * sx, y * sy, z * sz]);\n }\n }\n }\n }\n }\n }\n\n return vectors;\n}\n\nexport function buildLaneEndpointsOnShell({\n D,\n complexity,\n allSectors = false,\n cumulative = false,\n}) {\n if (!Number.isFinite(D) || D <= 0) return [];\n if (!Number.isInteger(complexity) || complexity < 1) return [];\n\n const raw = getDiophantineVectors(complexity, allSectors, cumulative);\n const out = [];\n for (let i = 0; i < raw.length; i++) {\n const [x, y, z] = raw[i];\n const n = norm3(x, y, z);\n if (n <= EPS) continue;\n out.push([(D * x) / n, (D * y) / n, (D * z) / n]);\n }\n return out;\n}\n\nexport function countLaneOverlapsOnSegments(lanes, satPos, laneRadius) {\n if (!lanes || lanes.length === 0) return 0;\n if (!Number.isFinite(laneRadius) || laneRadius <= 0) return 0;\n\n const [Px, Py, Pz] = toXYZ(satPos);\n const r2 = laneRadius * laneRadius;\n let count = 0;\n\n for (let i = 0; i < lanes.length; i++) {\n const [Bx, By, Bz] = toXYZ(lanes[i]);\n const b2 = Bx * Bx + By * By + Bz * Bz;\n if (b2 <= EPS) continue;\n\n let t = (Px * Bx + Py * By + Pz * Bz) / b2;\n if (t < 0) t = 0;\n if (t > 1) t = 1;\n\n const Cx = t * Bx;\n const Cy = t * By;\n const Cz = t * Bz;\n const dx = Px - Cx;\n const dy = Py - Cy;\n const dz = Pz - Cz;\n\n if (dx * dx + dy * dy + dz * dz < r2) count++;\n }\n\n return count;\n}\n\nexport function countLaneOverlapsOnShell(lanes, D, satPos, laneRadius) {\n if (!lanes || lanes.length === 0) return 0;\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(laneRadius) || laneRadius <= 0) return 0;\n\n const [Px, Py, Pz] = toXYZ(satPos);\n const R2 = D * D;\n const dotThreshold = R2 - 0.5 * laneRadius * laneRadius;\n\n let count = 0;\n for (let i = 0; i < lanes.length; i++) {\n const [Bx, By, Bz] = toXYZ(lanes[i]);\n if (Px * Bx + Py * By + Pz * Bz > dotThreshold) count++;\n }\n return count;\n}\n\nexport function isotropicCoverageProbability({ D, lane_radius }) {\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) return 0;\n const p = (lane_radius * lane_radius) / (4 * D * D);\n if (p <= 0) return 0;\n return p > 1 ? 1 : p;\n}\n\nexport function isotropicCoverageProbabilitySegment({ D, lane_radius, lane_length }) {\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) return 0;\n if (!Number.isFinite(lane_length) || lane_length <= 0) return 0;\n\n // If the visual segment reaches the observation shell, the shell-cap model is exact.\n if (lane_length >= D - EPS) {\n return isotropicCoverageProbability({ D, lane_radius });\n }\n\n const r = lane_radius;\n const L = lane_length;\n\n // No possible hit if the aperture is smaller than the endpoint gap.\n const dMin = D - L;\n if (r <= dMin) return 0;\n\n // For unrealistic very large apertures, clamp to full coverage.\n if (r >= D + L) return 1;\n\n // Minimum distance to the segment is a monotone function of c = cos(alpha) on c in [0,1].\n // The hit set is a spherical cap c > c0.\n const dJoin = Math.sqrt(Math.max(0, D * D - L * L)); // distance at projection hitting the endpoint boundary\n let c0;\n\n if (r < dJoin) {\n // Endpoint-limited branch (nearest point is the segment endpoint)\n c0 = (D * D + L * L - r * r) / (2 * D * L);\n } else if (r < D) {\n // Interior cylinder branch\n c0 = Math.sqrt(Math.max(0, 1 - (r * r) / (D * D)));\n } else {\n // r >= D covers the whole front hemisphere and may extend beyond; clamp conservatively.\n c0 = -1;\n }\n\n if (!Number.isFinite(c0)) return 0;\n if (c0 < -1) c0 = -1;\n if (c0 > 1) c0 = 1;\n return (1 - c0) / 2;\n}\n\nexport function lambdaIsotropic({ flux, D, lane_radius, dt }) {\n if (!Number.isFinite(flux) || flux <= 0) return 0;\n if (!Number.isFinite(dt) || dt <= 0) return 0;\n const p = isotropicCoverageProbability({ D, lane_radius });\n return flux * p * dt;\n}\n\nexport function lambdaIsotropicSegment({ flux, D, lane_radius, lane_length, dt }) {\n if (!Number.isFinite(flux) || flux <= 0) return 0;\n if (!Number.isFinite(dt) || dt <= 0) return 0;\n const p = isotropicCoverageProbabilitySegment({ D, lane_radius, lane_length });\n return flux * p * dt;\n}\n\nexport function lambdaIsotropicForGeometry({\n flux,\n D,\n lane_radius,\n dt,\n hitTestModel = \"shell\",\n lane_length,\n}) {\n if (hitTestModel === \"segment\") {\n return lambdaIsotropicSegment({ flux, D, lane_radius, lane_length, dt });\n }\n return lambdaIsotropic({ flux, D, lane_radius, dt });\n}\n\nfunction validateConfig(config) {\n if (!config || typeof config !== \"object\") {\n throw new Error(\"createSamplingSimulation: config object is required.\");\n }\n\n const lane_radius = config.lane_radius ?? config.radius;\n const D = config.D;\n const complexity = config.complexity;\n const flux = config.flux;\n const bin_size = config.bin_size ?? 1;\n const sub_bin_sampling = config.sub_bin_sampling ?? 4;\n const thetaDrift = config.thetaDrift ?? config.theta_drift ?? 0;\n const thetaJitter = config.thetaJitter ?? config.theta_jitter ?? 0;\n const phiJitter = config.phiJitter ?? config.phi_jitter ?? 0;\n const lane_length = config.laneLength ?? config.lane_length ?? config.distance ?? D;\n const hitTestModel = config.hitTestModel ?? config.hit_test_model ?? \"shell\";\n const observationMode = config.observationMode ?? config.observation_mode ?? \"orbit\";\n\n if (!Number.isFinite(D) || D <= 0) {\n throw new Error(\"createSamplingSimulation: D must be a positive number.\");\n }\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) {\n throw new Error(\"createSamplingSimulation: lane_radius (or radius) must be a positive number.\");\n }\n if (!Number.isInteger(complexity) || complexity < 1) {\n throw new Error(\"createSamplingSimulation: complexity must be an integer >= 1.\");\n }\n if (!Number.isFinite(flux) || flux < 0) {\n throw new Error(\"createSamplingSimulation: flux must be a finite number >= 0.\");\n }\n if (!Number.isFinite(bin_size) || bin_size <= 0) {\n throw new Error(\"createSamplingSimulation: bin_size must be a positive number.\");\n }\n if (!Number.isInteger(sub_bin_sampling) || sub_bin_sampling < 1) {\n throw new Error(\"createSamplingSimulation: sub_bin_sampling must be an integer >= 1.\");\n }\n if (!Number.isFinite(thetaDrift)) {\n throw new Error(\"createSamplingSimulation: thetaDrift must be finite.\");\n }\n if (!Number.isFinite(thetaJitter) || thetaJitter < 0) {\n throw new Error(\"createSamplingSimulation: thetaJitter must be a finite number >= 0.\");\n }\n if (!Number.isFinite(phiJitter) || phiJitter < 0) {\n throw new Error(\"createSamplingSimulation: phiJitter must be a finite number >= 0.\");\n }\n if (!Number.isFinite(lane_length) || lane_length <= 0) {\n throw new Error(\"createSamplingSimulation: laneLength/lane_length/distance must be a positive number.\");\n }\n if (hitTestModel !== \"shell\" && hitTestModel !== \"segment\") {\n throw new Error('createSamplingSimulation: hitTestModel must be \"shell\" or \"segment\".');\n }\n if (observationMode !== \"orbit\" && observationMode !== \"randomSphere\") {\n throw new Error('createSamplingSimulation: observationMode must be \"orbit\" or \"randomSphere\".');\n }\n\n return {\n D,\n lane_radius,\n complexity,\n flux,\n bin_size,\n sub_bin_sampling,\n theta: reflectPolarTheta(config.theta ?? Math.PI / 2),\n phi: wrapAngle(config.phi ?? 0),\n velocity: config.velocity ?? 0,\n thetaDrift,\n thetaJitter,\n phiJitter,\n lane_length,\n hitTestModel,\n observationMode,\n allSectors: Boolean(config.allSectors),\n cumulative: Boolean(config.cumulative),\n usePoisson: config.usePoisson !== false,\n seed: Number.isFinite(config.seed) ? config.seed : 1,\n };\n}\n\nexport function createSamplingSimulation(config) {\n const cfg = validateConfig(config);\n const lanes = buildLaneEndpointsOnShell(cfg);\n const laneSegments =\n cfg.hitTestModel === \"segment\"\n ? buildLaneEndpointsOnShell({ ...cfg, D: cfg.lane_length })\n : lanes;\n const lightlaneRand = createRng(cfg.seed);\n const isotropicRand = createRng(cfg.seed + 1);\n const pathRand = createRng(cfg.seed + 2);\n\n const subBinSize = cfg.bin_size / cfg.sub_bin_sampling;\n const lambdaIsoSubBin = lambdaIsotropicForGeometry({\n flux: cfg.flux,\n D: cfg.D,\n lane_radius: cfg.lane_radius,\n dt: subBinSize,\n hitTestModel: cfg.hitTestModel,\n lane_length: cfg.lane_length,\n });\n let timeInBin = 0;\n let timeInSubBin = 0;\n let phase = cfg.phi;\n let thetaNow = cfg.theta;\n let elapsed = 0;\n let accumulatedLightlane = 0;\n let accumulatedIsotropic = 0;\n let expectedLightlaneThisBin = 0;\n let processedSubBinsInCurrentBin = 0;\n let lastLaneCount = 0;\n let overlapSumThisBin = 0;\n\n function sampleCount(lambda, rand) {\n return cfg.usePoisson ? samplePoisson(lambda, rand) : lambda;\n }\n\n function currentSatPos(sampleTheta = thetaNow, samplePhi = phase) {\n return vecOnSphereFromAngles(cfg.D, sampleTheta, samplePhi);\n }\n\n function processSubBin() {\n let sampleTheta;\n let samplePhi;\n if (cfg.observationMode === \"randomSphere\") {\n const ang = randomSphereAngles(pathRand);\n sampleTheta = ang.theta;\n samplePhi = ang.phi;\n } else {\n sampleTheta = reflectPolarTheta(\n thetaNow + (cfg.thetaJitter > 0 ? cfg.thetaJitter * sampleNormal(pathRand) : 0)\n );\n samplePhi = wrapAngle(\n phase + (cfg.phiJitter > 0 ? cfg.phiJitter * sampleNormal(pathRand) : 0)\n );\n }\n const satPos = currentSatPos(sampleTheta, samplePhi);\n const laneCount =\n cfg.hitTestModel === \"segment\"\n ? countLaneOverlapsOnSegments(laneSegments, satPos, cfg.lane_radius)\n : countLaneOverlapsOnShell(lanes, cfg.D, satPos, cfg.lane_radius);\n lastLaneCount = laneCount;\n\n const N = lanes.length;\n const lam = N > 0 ? (laneCount * cfg.flux * subBinSize) / N : 0;\n accumulatedLightlane += sampleCount(lam, lightlaneRand);\n accumulatedIsotropic += sampleCount(lambdaIsoSubBin, isotropicRand);\n expectedLightlaneThisBin += lam;\n overlapSumThisBin += laneCount;\n processedSubBinsInCurrentBin++;\n\n return {\n laneCount,\n satPos,\n lambdaLightlaneSubBin: lam,\n phase: samplePhi,\n theta: sampleTheta,\n };\n }\n\n function finalizeBin() {\n const effectiveBinSize =\n processedSubBinsInCurrentBin > 0 ? processedSubBinsInCurrentBin * subBinSize : cfg.bin_size;\n const lamIso = lambdaIsoSubBin * cfg.sub_bin_sampling;\n const isotropic = accumulatedIsotropic;\n const lightlane = accumulatedLightlane;\n\n const bin = {\n time: elapsed,\n bin_size: effectiveBinSize,\n lightlane,\n isotropic,\n lambdaIsotropic: processedSubBinsInCurrentBin > 0 ? lambdaIsoSubBin * processedSubBinsInCurrentBin : lamIso,\n overlaps: lastLaneCount,\n overlapsMean:\n processedSubBinsInCurrentBin > 0\n ? overlapSumThisBin / processedSubBinsInCurrentBin\n : 0,\n subBins: processedSubBinsInCurrentBin,\n phase,\n theta: thetaNow,\n lambdaLightlaneExpected: expectedLightlaneThisBin,\n };\n\n accumulatedLightlane = 0;\n accumulatedIsotropic = 0;\n expectedLightlaneThisBin = 0;\n overlapSumThisBin = 0;\n processedSubBinsInCurrentBin = 0;\n return bin;\n }\n\n return {\n config: { ...cfg },\n getLaneCount() {\n return lanes.length;\n },\n getState() {\n return {\n elapsed,\n phase,\n theta: thetaNow,\n timeInBin,\n timeInSubBin,\n accumulatedLightlane,\n accumulatedIsotropic,\n expectedLightlaneThisBin,\n processedSubBinsInCurrentBin,\n lastLaneCount,\n laneCount: lanes.length,\n };\n },\n reset() {\n timeInBin = 0;\n timeInSubBin = 0;\n phase = cfg.phi;\n thetaNow = cfg.theta;\n elapsed = 0;\n accumulatedLightlane = 0;\n accumulatedIsotropic = 0;\n expectedLightlaneThisBin = 0;\n processedSubBinsInCurrentBin = 0;\n lastLaneCount = 0;\n overlapSumThisBin = 0;\n },\n flushPartialBin() {\n if (processedSubBinsInCurrentBin <= 0) return null;\n const bin = finalizeBin();\n // Drop any partial sub-bin time so the visual pause appears immediate.\n timeInBin = 0;\n timeInSubBin = 0;\n return bin;\n },\n simulate(dt) {\n if (!Number.isFinite(dt) || dt <= 0) {\n return {\n bins: [],\n lastLaneCount,\n subBinEvents: 0,\n elapsed,\n };\n }\n\n let remaining = dt;\n let subBinEvents = 0;\n const bins = [];\n\n while (remaining > EPS) {\n const untilSub = subBinSize - timeInSubBin;\n const untilBin = cfg.bin_size - timeInBin;\n const step = Math.min(remaining, untilSub, untilBin);\n\n phase += cfg.velocity * step;\n thetaNow = reflectPolarTheta(thetaNow + cfg.thetaDrift * step);\n elapsed += step;\n timeInSubBin += step;\n timeInBin += step;\n remaining -= step;\n\n if (timeInSubBin >= subBinSize - EPS) {\n timeInSubBin = 0;\n processSubBin();\n subBinEvents++;\n }\n\n if (timeInBin >= cfg.bin_size - EPS) {\n timeInBin = 0;\n bins.push(finalizeBin());\n }\n }\n\n return {\n bins,\n lastLaneCount,\n subBinEvents,\n elapsed,\n };\n },\n };\n}\n\n// Backwards-compatible aliases while transitioning callers.\nexport const createDualRegimeSimulation = createSamplingSimulation;\n","import { Html } from '@react-three/drei';\nimport { useEffect, useMemo, useRef, useState } from 'react';\n\nimport { SOUND_IDS, safePlaySound, safeStopSound } from '../hostBridge';\nimport type { GlitchHostBridge } from '../types';\nimport { createSamplingSimulation } from './lightlane-engine.js';\n\ninterface FanoSweepPanelProps {\n radius: number;\n distance: number;\n chandraDistance: number;\n allSectors: boolean;\n cumulative: boolean;\n theta: number;\n phi: number;\n orbitSpeed: number;\n thetaDrift: number;\n thetaJitter: number;\n phiJitter: number;\n K: number;\n speedup: number;\n usePoisson: boolean;\n bottomInset?: number;\n onBack?: () => void;\n host?: GlitchHostBridge;\n}\n\ninterface SweepPoint {\n complexity: number;\n laneCount: number;\n meanBlue: number;\n meanYellow: number;\n fanoBlue: number;\n fanoYellow: number;\n fanoExcess: number;\n}\n\ninterface RunningMoments {\n n: number;\n mean: number;\n m2: number;\n}\n\nfunction updateMoments(m: RunningMoments, x: number): RunningMoments {\n const n = m.n + 1;\n const delta = x - m.mean;\n const mean = m.mean + delta / n;\n const m2 = m.m2 + delta * (x - mean);\n return { n, mean, m2 };\n}\n\nfunction emptyMoments(): RunningMoments {\n return { n: 0, mean: 0, m2: 0 };\n}\n\nfunction sampleFanoPoint({\n complexity,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n props,\n observationMode,\n seed,\n}: {\n complexity: number;\n samplesPerPoint: number;\n runsPerPoint: number;\n binSize: number;\n subBinSampling: number;\n props: FanoSweepPanelProps;\n observationMode: 'orbit' | 'randomSphere';\n seed: number;\n}): SweepPoint {\n let blue = emptyMoments();\n let yellow = emptyMoments();\n let laneCount = 0;\n\n for (let run = 0; run < runsPerPoint; run++) {\n const sim = createSamplingSimulation({\n D: props.chandraDistance,\n theta: props.theta,\n phi: props.phi,\n observationMode,\n velocity: props.orbitSpeed,\n thetaDrift: props.thetaDrift,\n thetaJitter: props.thetaJitter,\n phiJitter: props.phiJitter,\n bin_size: binSize,\n complexity,\n sub_bin_sampling: subBinSampling,\n flux: props.K,\n lane_radius: props.radius,\n distance: props.distance,\n hitTestModel: 'segment',\n allSectors: props.allSectors,\n cumulative: props.cumulative,\n usePoisson: props.usePoisson,\n seed: seed + run * 7_919,\n });\n if (run === 0) laneCount = sim.getLaneCount();\n\n for (let i = 0; i < samplesPerPoint; i++) {\n const { bins } = sim.simulate(binSize);\n const bin = bins[0];\n if (!bin) continue;\n blue = updateMoments(blue, bin.lightlane);\n yellow = updateMoments(yellow, bin.isotropic);\n }\n }\n\n const varBlue = blue.n > 1 ? blue.m2 / (blue.n - 1) : 0;\n const varYellow = yellow.n > 1 ? yellow.m2 / (yellow.n - 1) : 0;\n const fanoBlue = blue.mean > 0 ? varBlue / blue.mean : 0;\n const fanoYellow = yellow.mean > 0 ? varYellow / yellow.mean : 0;\n\n return {\n complexity,\n laneCount,\n meanBlue: blue.mean,\n meanYellow: yellow.mean,\n fanoBlue,\n fanoYellow,\n fanoExcess: Math.max(0, fanoBlue - fanoYellow),\n };\n}\n\nfunction fitPowerLaw(points: SweepPoint[], minComplexity = 1) {\n const usable = points.filter(p => p.complexity >= minComplexity && p.complexity > 1 && p.fanoExcess > 1e-6);\n if (usable.length < 3) return null;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = usable.length;\n\n for (const p of usable) {\n const x = Math.log(p.laneCount);\n const y = Math.log(p.fanoExcess);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) return null;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n\n return {\n A: Math.exp(intercept),\n alpha: -slope,\n predictFanoExcessFromLaneCount(laneCount: number) {\n return Math.exp(intercept + slope * Math.log(Math.max(1, laneCount)));\n },\n };\n}\n\nfunction fitPowerLawWithFloor(points: SweepPoint[], minComplexity = 1) {\n const usable = points.filter(p => p.complexity >= minComplexity && p.complexity > 1 && p.fanoExcess > 1e-6);\n if (usable.length < 4) return null;\n\n const minY = Math.min(...usable.map((p) => p.fanoExcess));\n const maxB = Math.max(0, minY * 0.98);\n let best: null | {\n A: number;\n alpha: number;\n B: number;\n score: number;\n } = null;\n\n const steps = 80;\n for (let i = 0; i <= steps; i++) {\n const B = (i / steps) * maxB;\n const shifted = usable\n .map((p) => ({ x: p.laneCount, y: p.fanoExcess - B }))\n .filter((p) => p.y > 1e-9);\n if (shifted.length < 3) continue;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = shifted.length;\n\n for (const p of shifted) {\n const x = Math.log(p.x);\n const y = Math.log(p.y);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) continue;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n const A = Math.exp(intercept);\n const alpha = -slope;\n if (!(A > 0) || !(alpha > 0)) continue;\n\n let score = 0;\n for (const p of usable) {\n const pred = B + A * Math.pow(Math.max(1, p.laneCount), -alpha);\n const err = Math.log(Math.max(1e-9, p.fanoExcess)) - Math.log(Math.max(1e-9, pred));\n score += err * err;\n }\n\n if (!best || score < best.score) {\n best = { A, alpha, B, score };\n }\n }\n\n if (!best) return null;\n\n return {\n A: best.A,\n alpha: best.alpha,\n B: best.B,\n score: best.score,\n predictFanoExcessFromLaneCount(laneCount: number) {\n return best.B + best.A * Math.pow(Math.max(1, laneCount), -best.alpha);\n },\n };\n}\n\nfunction fitPowerXY(samples: Array<{ x: number; y: number }>) {\n const usable = samples.filter((s) => s.x > 0 && s.y > 0);\n if (usable.length < 3) return null;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = usable.length;\n\n for (const s of usable) {\n const x = Math.log(s.x);\n const y = Math.log(s.y);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) return null;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n const A = Math.exp(intercept);\n\n return {\n A,\n beta: slope,\n predict(x: number) {\n return A * Math.pow(Math.max(1e-9, x), slope);\n },\n invert(y: number) {\n if (A <= 0 || Math.abs(slope) < 1e-12 || y <= 0) return null;\n return Math.pow(y / A, 1 / slope);\n },\n };\n}\n\nfunction estimateComplexityFromLaneCount(points: SweepPoint[], targetLaneCount: number) {\n if (!Number.isFinite(targetLaneCount) || targetLaneCount <= 0 || points.length === 0) return null;\n\n const sorted = [...points].sort((a, b) => a.complexity - b.complexity);\n const byLane = [...sorted].sort((a, b) => a.laneCount - b.laneCount);\n const first = byLane[0];\n const last = byLane[byLane.length - 1];\n\n if (targetLaneCount <= first.laneCount) {\n return { complexity: first.complexity, mode: 'observed-range' as const };\n }\n\n for (let i = 1; i < byLane.length; i++) {\n const a = byLane[i - 1];\n const b = byLane[i];\n if (targetLaneCount <= b.laneCount) {\n const denom = Math.max(1e-9, b.laneCount - a.laneCount);\n const t = (targetLaneCount - a.laneCount) / denom;\n return {\n complexity: a.complexity + t * (b.complexity - a.complexity),\n mode: 'observed-range' as const,\n };\n }\n }\n\n const growthFit = fitPowerXY(sorted.map((p) => ({ x: p.complexity, y: p.laneCount })));\n const extrapolated = growthFit?.invert(targetLaneCount) ?? null;\n if (extrapolated && Number.isFinite(extrapolated)) {\n return { complexity: extrapolated, mode: 'extrapolated' as const };\n }\n\n return { complexity: last.complexity, mode: 'observed-max' as const };\n}\n\nfunction linePath(points: SweepPoint[], getY: (p: SweepPoint) => number, xToPx: (x: number) => number, yToPx: (y: number) => number) {\n return points\n .map((p, i) => `${i === 0 ? 'M' : 'L'} ${xToPx(p.complexity)} ${yToPx(getY(p))}`)\n .join(' ');\n}\n\nfunction formatYAxisTick(value: number) {\n if (value >= 10) return value.toFixed(0);\n if (value >= 2) return value.toFixed(1);\n return value.toFixed(2);\n}\n\nfunction buildLogTicks(min: number, max: number) {\n const candidates = [\n 0.5, 0.6, 0.7, 0.8, 0.9,\n 1.0, 1.1, 1.2, 1.4, 1.6, 1.8,\n 2.0, 2.5, 3.0, 4.0, 5.0, 7.5, 10.0,\n ];\n\n const ticks = candidates.filter(v => v >= min && v <= max);\n if (ticks.length >= 3) return ticks;\n\n // Fallback for unusual ranges.\n const steps = 5;\n const logMin = Math.log(min);\n const logMax = Math.log(max);\n return Array.from({ length: steps }, (_, i) => {\n const t = i / (steps - 1);\n return Math.exp(logMin + (logMax - logMin) * t);\n });\n}\n\nexport function FanoSweepPanel(props: FanoSweepPanelProps) {\n const [maxComplexity, setMaxComplexity] = useState(40);\n const [samplesPerPoint, setSamplesPerPoint] = useState(1000);\n const [runsPerPoint, setRunsPerPoint] = useState(3);\n const [binSize, setBinSize] = useState(1);\n const [subBinSampling, setSubBinSampling] = useState(4);\n const [observationMode, setObservationMode] = useState<'orbit' | 'randomSphere'>('randomSphere');\n const [targetExcess, setTargetExcess] = useState(0.05);\n const [fitStartComplexity, setFitStartComplexity] = useState(10);\n const [runId, setRunId] = useState(0);\n const [points, setPoints] = useState([]);\n const [progress, setProgress] = useState(0);\n const [running, setRunning] = useState(false);\n const wasRunningRef = useRef(false);\n const progressStepRef = useRef(-1);\n\n const playUiHover = () => {\n safePlaySound(props.host, SOUND_IDS.hover, { page: 'fano' });\n };\n\n const playUiClick = (target: string, payload?: Record) => {\n safePlaySound(props.host, SOUND_IDS.click, { page: 'fano', target, ...payload });\n };\n\n useEffect(() => {\n let cancelled = false;\n setPoints([]);\n setProgress(0);\n setRunning(true);\n\n (async () => {\n const nextPoints: SweepPoint[] = [];\n\n for (let c = 1; c <= maxComplexity; c++) {\n if (cancelled) return;\n const point = sampleFanoPoint({\n complexity: c,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n props,\n observationMode,\n seed: 10_000 + c * 97 + runId * 100_003,\n });\n nextPoints.push(point);\n setPoints([...nextPoints]);\n setProgress(c / maxComplexity);\n await new Promise(resolve => setTimeout(resolve, 0));\n }\n\n if (!cancelled) setRunning(false);\n })();\n\n return () => {\n cancelled = true;\n };\n }, [\n maxComplexity,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n observationMode,\n runId,\n props.radius,\n props.distance,\n props.chandraDistance,\n props.allSectors,\n props.cumulative,\n props.theta,\n props.phi,\n props.orbitSpeed,\n props.thetaDrift,\n props.thetaJitter,\n props.phiJitter,\n props.K,\n props.speedup,\n props.usePoisson,\n ]);\n\n useEffect(() => {\n const wasRunning = wasRunningRef.current;\n wasRunningRef.current = running;\n\n if (running && !wasRunning) {\n progressStepRef.current = -1;\n safePlaySound(props.host, SOUND_IDS.computeStart, { page: 'fano' });\n return;\n }\n\n if (!running && wasRunning) {\n safeStopSound(props.host, SOUND_IDS.computeStep, { page: 'fano' });\n safePlaySound(props.host, SOUND_IDS.computeDone, { page: 'fano', points: points.length });\n }\n }, [running, props.host, points.length]);\n\n useEffect(() => {\n if (!running) return;\n const nextProgressStep = Math.floor(progress * 10);\n if (nextProgressStep <= progressStepRef.current) return;\n progressStepRef.current = nextProgressStep;\n safePlaySound(props.host, SOUND_IDS.computeStep, { page: 'fano', progress });\n }, [progress, running, props.host]);\n\n const fit = useMemo(() => fitPowerLaw(points, fitStartComplexity), [points, fitStartComplexity]);\n const floorFit = useMemo(() => fitPowerLawWithFloor(points, fitStartComplexity), [points, fitStartComplexity]);\n const indistinguishableEstimate = useMemo(() => {\n if (!fit || fit.alpha <= 0 || targetExcess <= 0) return null;\n\n if (floorFit && floorFit.B >= targetExcess) {\n return {\n targetExcess,\n requiredLaneCount: Number.POSITIVE_INFINITY,\n measuredCrossing: points.find((p) => p.fanoExcess <= targetExcess) ?? null,\n complexityEstimate: null,\n blockedByFloor: true as const,\n floorExcess: floorFit.B,\n };\n }\n\n const effectiveTarget = floorFit ? Math.max(1e-9, targetExcess - floorFit.B) : targetExcess;\n const effectiveA = floorFit ? floorFit.A : fit.A;\n const effectiveAlpha = floorFit ? floorFit.alpha : fit.alpha;\n const requiredLaneCount = Math.pow(effectiveA / effectiveTarget, 1 / effectiveAlpha);\n if (!Number.isFinite(requiredLaneCount) || requiredLaneCount <= 0) return null;\n\n const measuredCrossing = points.find((p) => p.fanoExcess <= targetExcess) ?? null;\n const complexityEstimate = estimateComplexityFromLaneCount(points, requiredLaneCount);\n\n return {\n targetExcess,\n requiredLaneCount,\n measuredCrossing,\n complexityEstimate,\n blockedByFloor: false as const,\n floorExcess: floorFit?.B ?? 0,\n };\n }, [fit, floorFit, points, targetExcess]);\n\n const plot = useMemo(() => {\n const width = 860;\n const height = 360;\n const margin = { top: 20, right: 20, bottom: 42, left: 48 };\n const innerW = width - margin.left - margin.right;\n const innerH = height - margin.top - margin.bottom;\n const maxX = Math.max(2, maxComplexity);\n const positiveYs = [\n 1,\n ...points.map(p => p.fanoBlue),\n ...points.map(p => p.fanoYellow),\n ...points.map(p => 1 + p.fanoExcess),\n ].filter((v) => Number.isFinite(v) && v > 0);\n const rawYMin = Math.min(...positiveYs);\n const rawYMax = Math.max(...positiveYs);\n const yMin = Math.max(1e-3, Math.min(0.95, rawYMin * 0.95));\n const yMax = Math.max(1.05, rawYMax * 1.05);\n const logMin = Math.log(yMin);\n const logMax = Math.log(yMax);\n\n const xToPx = (x: number) => margin.left + ((x - 1) / (maxX - 1)) * innerW;\n const yToPx = (y: number) => {\n const safeY = Math.min(yMax, Math.max(yMin, y));\n const ly = Math.log(safeY);\n return margin.top + innerH - ((ly - logMin) / Math.max(1e-9, (logMax - logMin))) * innerH;\n };\n const yTicks = buildLogTicks(yMin, yMax);\n\n return { width, height, margin, innerW, innerH, xToPx, yToPx, yMax, yMin, yTicks };\n }, [points, maxComplexity]);\n\n const bluePath = useMemo(\n () => (points.length > 1 ? linePath(points, p => p.fanoBlue, plot.xToPx, plot.yToPx) : ''),\n [points, plot]\n );\n const yellowPath = useMemo(\n () => (points.length > 1 ? linePath(points, p => p.fanoYellow, plot.xToPx, plot.yToPx) : ''),\n [points, plot]\n );\n\n const latest = points.at(-1) ?? null;\n\n return (\n \n \n
\n
\n
\n Fano Sweep\n
\n
\n Goal: show {`Fano(Blue)`} trending toward 1.0 (or toward Yellow) as complexity increases.\n
\n
\n
\n {props.onBack && (\n {\n playUiClick('back-to-simulator');\n props.onBack?.();\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '8px 12px',\n borderRadius: '8px',\n cursor: 'pointer',\n fontSize: '12px',\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.08em',\n textTransform: 'uppercase',\n }}\n >\n Back To Simulator\n \n )}\n {\n playUiClick('rerun-sweep');\n setRunId(prev => prev + 1);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: running ? 'rgba(125, 255, 155, 0.14)' : 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '8px 12px',\n borderRadius: '8px',\n cursor: 'pointer',\n fontSize: '12px',\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.08em',\n textTransform: 'uppercase',\n }}\n >\n {running ? 'Rerun (queued)' : 'Rerun Sweep'}\n \n
\n
\n\n
\n {\n playUiClick('preset-video-demo');\n setObservationMode('randomSphere');\n setMaxComplexity(60);\n setSamplesPerPoint(1200);\n setRunsPerPoint(2);\n setBinSize(1);\n setSubBinSampling(4);\n setFitStartComplexity(12);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '6px 10px',\n borderRadius: 8,\n cursor: 'pointer',\n fontSize: 11,\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.06em',\n }}\n >\n Preset: Video Demo\n \n {\n playUiClick('preset-robust-sweep');\n setObservationMode('randomSphere');\n setMaxComplexity(200);\n setSamplesPerPoint(3000);\n setRunsPerPoint(5);\n setBinSize(1);\n setSubBinSampling(16);\n setFitStartComplexity(40);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid rgba(125, 255, 155, 0.32)',\n background: 'rgba(2,6,23,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '6px 10px',\n borderRadius: 8,\n cursor: 'pointer',\n fontSize: 11,\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.06em',\n }}\n >\n Preset: Robust Sweep\n \n
\n\n
\n \n \n \n \n \n \n \n \n
\n Progress\n
\n \n
\n
{running ? `Running ${Math.round(progress * 100)}%` : 'Complete'}
\n
\n
\n \n
\n \n \n \n\n {plot.yTicks.map((y, i) => {\n const py = plot.yToPx(y);\n return (\n \n \n {formatYAxisTick(y)}\n \n );\n })}\n\n \n Fano = 1\n\n \n \n\n {Array.from({ length: Math.min(maxComplexity, 10) }, (_, i) => {\n const x = 1 + ((maxComplexity - 1) * i) / Math.max(1, Math.min(maxComplexity - 1, 9));\n const px = plot.xToPx(x);\n return (\n \n \n \n {Math.round(x)}\n \n \n );\n })}\n\n {yellowPath && }\n {bluePath && }\n\n {fit && points.length > 2 && (() => {\n const fitPath = points\n .filter((p) => p.complexity >= fitStartComplexity)\n .map((p, i) => {\n const y = 1 + fit.predictFanoExcessFromLaneCount(p.laneCount);\n return `${i === 0 ? 'M' : 'L'} ${plot.xToPx(p.complexity)} ${plot.yToPx(y)}`;\n })\n .join(' ');\n return ;\n })()}\n\n {floorFit && points.length > 2 && (() => {\n const fitPath = points\n .filter((p) => p.complexity >= fitStartComplexity)\n .map((p, i) => {\n const y = 1 + floorFit.predictFanoExcessFromLaneCount(p.laneCount);\n return `${i === 0 ? 'M' : 'L'} ${plot.xToPx(p.complexity)} ${plot.yToPx(y)}`;\n })\n .join(' ');\n return ;\n })()}\n\n {points.map((p) => (\n \n \n \n \n ))}\n\n \n Complexity\n \n \n Fano Factor (Var / Mean, log scale)\n \n \n
\n\n \n
\n
Legend
\n
Blue: Lightlane Fano
\n
Yellow: Isotropic Fano
\n
Dashed orange: Fano = 1
\n
Dashed blue: power-fit extrapolation (blue excess over yellow)
\n
Dashed cyan: floor-aware fit (B + A×N^-α)
\n
\n\n
\n
Latest Point
\n {latest ? (\n <>\n
Complexity: {latest.complexity}
\n
Lanes: {latest.laneCount}
\n
Mean Ratio (B/Y): {(latest.meanBlue / Math.max(1e-9, latest.meanYellow)).toFixed(3)}
\n
Fano Blue: {latest.fanoBlue.toFixed(3)}
\n
Fano Yellow: {latest.fanoYellow.toFixed(3)}
\n
Excess (B-Y): {latest.fanoExcess.toFixed(3)}
\n
\n Aggregated over {samplesPerPoint.toLocaleString()} bins × {runsPerPoint} seeds\n
\n \n ) : (\n
No points yet.
\n )}\n
\n\n
\n
Power Fit
\n {fit ? (\n <>\n
\n Excess ≈ {fit.A.toExponential(2)} × N-{fit.alpha.toFixed(2)}\n
\n
\n Fit is on blue excess over yellow using lane count N, starting at complexity {fitStartComplexity}.\n
\n \n ) : (\n
Need more points with nonzero excess.
\n )}\n {floorFit && (\n
\n Floor fit: excess ≈ {floorFit.B.toFixed(3)} + {floorFit.A.toExponential(2)} × N-{floorFit.alpha.toFixed(2)}\n
\n )}\n
\n\n
\n
Indistinguishable Target
\n
\n Criterion: Fano Blue - Fano Yellow ≤ {targetExcess.toFixed(3)}\n
\n {indistinguishableEstimate ? (\n <>\n {indistinguishableEstimate.blockedByFloor ? (\n <>\n
\n Floor-aware fit predicts no finite crossing for this threshold.\n
\n
\n Fitted excess floor:{' '}\n \n {indistinguishableEstimate.floorExcess.toFixed(3)}\n \n
\n
\n Increase `Max Complexity` / `Samples`, or raise fit start to test whether the floor is a transient or a genuine plateau.\n
\n \n ) : (\n <>\n
\n Required lane count N (fit):{' '}\n \n {Math.round(indistinguishableEstimate.requiredLaneCount).toLocaleString()}\n \n
\n
\n Estimated complexity:{' '}\n \n {indistinguishableEstimate.complexityEstimate\n ? Math.ceil(indistinguishableEstimate.complexityEstimate.complexity).toLocaleString()\n : 'n/a'}\n \n {indistinguishableEstimate.complexityEstimate && (\n \n {' '}\n ({indistinguishableEstimate.complexityEstimate.mode === 'observed-range'\n ? 'interpolated from current sweep'\n : indistinguishableEstimate.complexityEstimate.mode === 'extrapolated'\n ? 'extrapolated'\n : 'bounded by current sweep'})\n \n )}\n
\n \n )}\n
\n {indistinguishableEstimate.measuredCrossing\n ? `Observed crossing already reached at complexity ${indistinguishableEstimate.measuredCrossing.complexity}.`\n : 'No observed crossing yet in current sweep; estimate uses fit.'}\n
\n \n ) : (\n
\n Need a stable excess fit (nonzero blue excess across multiple points).\n
\n )}\n
\n\n
\n Use Random Sphere to isolate discretization convergence from path bias.\n Orbit mode is still useful to show persistent anisotropy on specific trajectories.\n
\n For a stronger/cleaner claim in the video: report the threshold estimate together with bin size, sub-bin sampling, and runs/point.\n
\n
\n If the floor-aware fit stays above zero as you increase complexity and samples, frame it as an open question for viewers.\n
\n
\n
\n
\n
\n \n );\n}\n","import { useMemo, useRef } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { Color } from 'three';\nimport type { BufferGeometry, Points as ThreePoints, PointsMaterial } from 'three';\n\ntype SparklePoint = {\n speed: number;\n phase: number;\n minBrightness: number;\n maxBoost: number;\n};\n\nconst sparkleColor = new Color('#dbeafe');\n\nfunction createSparkleField(radius: number, count: number) {\n const positions = new Float32Array(count * 3);\n const colors = new Float32Array(count * 3);\n const sparklePoints: SparklePoint[] = [];\n const shellRadius = radius + 0.01;\n\n for (let index = 0; index < count; index += 1) {\n const u = Math.random();\n const v = Math.random();\n const theta = 2 * Math.PI * u;\n const z = 1 - 2 * v;\n const radial = Math.sqrt(Math.max(0, 1 - z * z));\n const offset = index * 3;\n\n positions[offset] = shellRadius * radial * Math.cos(theta);\n positions[offset + 1] = shellRadius * radial * Math.sin(theta);\n positions[offset + 2] = shellRadius * z;\n\n colors[offset] = sparkleColor.r * 0.15;\n colors[offset + 1] = sparkleColor.g * 0.15;\n colors[offset + 2] = sparkleColor.b * 0.15;\n\n sparklePoints.push({\n speed: 0.8 + Math.random() * 2.6,\n phase: Math.random() * Math.PI * 2,\n minBrightness: 0.03 + Math.random() * 0.06,\n maxBoost: 0.35 + Math.random() * 0.85,\n });\n }\n\n return { positions, colors, sparklePoints };\n}\n\nexport function PoissonShell({ radius }: { radius: number }) {\n const sparkleRef = useRef>(null);\n const sparkleCount = 16000;\n const { positions, colors, sparklePoints } = useMemo(\n () => createSparkleField(radius, sparkleCount),\n [radius]\n );\n\n useFrame(({ clock }) => {\n const sparkleCloud = sparkleRef.current;\n if (!sparkleCloud) return;\n\n const colorAttribute = sparkleCloud.geometry.getAttribute('color');\n if (!colorAttribute) return;\n\n const time = clock.getElapsedTime();\n const colorArray = colorAttribute.array as Float32Array;\n\n for (let index = 0; index < sparklePoints.length; index += 1) {\n const point = sparklePoints[index];\n const pulse = Math.pow(Math.max(0, Math.sin(time * point.speed + point.phase)), 24);\n const intensity = point.minBrightness + pulse * point.maxBoost;\n const offset = index * 3;\n\n colorArray[offset] = sparkleColor.r * intensity;\n colorArray[offset + 1] = sparkleColor.g * intensity;\n colorArray[offset + 2] = sparkleColor.b * intensity;\n }\n\n colorAttribute.needsUpdate = true;\n });\n\n return (\n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n \n );\n}\n","import { useRef } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { MeshStandardMaterial } from 'three';\n\ninterface PulsingSphereProps {\n radius: number;\n paused?: boolean;\n}\n\nexport function PulsingSphere({ radius, paused = false }: PulsingSphereProps) {\n const materialRef = useRef(null);\n\n useFrame((state) => {\n if (paused) return;\n if (materialRef.current) {\n // Pulse emissive intensity between 0.5 and 2.0\n // Sine wave from -1 to 1 -> mapped to 0.5 to 2.0\n // (sin + 1) / 2 is 0 to 1.\n // 0.5 + (0 -> 1) * 1.5 = 0.5 to 2.0\n const t = state.clock.elapsedTime * 3; // Speed\n const intensity = 0.5 + ((Math.sin(t) + 1) / 2) * 1.5;\n materialRef.current.emissiveIntensity = intensity;\n }\n });\n\n return (\n \n \n \n \n );\n}\n","import { useRef, type MutableRefObject } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport * as THREE from 'three';\n\nfunction reflectPolarTheta(theta: number): number {\n const twoPi = 2 * Math.PI;\n let t = theta % twoPi;\n if (t < 0) t += twoPi;\n if (t > Math.PI) t = twoPi - t;\n return t;\n}\n\ninterface OrbitingObjectProps {\n radius: number; // This corresponds to 'distance' from center\n theta: number; // Polar angle (0 to PI)\n phi: number; // Azimuthal angle (0 to 2PI)\n orbitTime: MutableRefObject; // Accumulated orbit time ref\n simTime?: MutableRefObject;\n thetaDrift?: number;\n paused?: boolean;\n}\n\nexport function OrbitingObject({ radius, theta, phi, orbitTime, simTime, thetaDrift = 0, paused = false }: OrbitingObjectProps) {\n const groupRef = useRef(null);\n\n useFrame(() => {\n if (paused) return;\n if (groupRef.current) {\n // Calculate position using spherical coordinates\n // Three.js uses Y-up, so usually:\n // Use passed accumulated time from ref\n const currentPhi = phi + orbitTime.current;\n const currentTheta = reflectPolarTheta(theta + (simTime?.current ?? 0) * thetaDrift);\n\n const x = radius * Math.sin(currentTheta) * Math.cos(currentPhi);\n const y = radius * Math.cos(currentTheta);\n const z = radius * Math.sin(currentTheta) * Math.sin(currentPhi);\n\n groupRef.current.position.set(x, y, z);\n\n // Orient towards center\n groupRef.current.lookAt(0, 0, 0);\n }\n });\n\n return (\n \n {/* Sampling point cue (engine uses the group origin as the camera/sample position) */}\n \n \n \n \n \n \n \n \n\n {/* Main Body - Cylindrical Telescope - Aligned to Z axis */}\n \n \n \n \n\n {/* Short forward octagonal gold collar */}\n \n \n \n \n\n {/* Front Aperture - Wider - At +Z end */}\n \n \n \n \n {/* Aperture center cue for visual alignment checks */}\n \n \n \n \n {/* Local +Z axis cue (helps spot orientation / offset issues) */}\n \n \n \n \n\n {/* Solar Panels - shifted forward toward the star-facing end */}\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n );\n}\n","/* eslint-disable @typescript-eslint/no-unused-vars */\n\nimport { useState, useMemo, useRef, useEffect } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { Html } from '@react-three/drei';\n\nimport { createSamplingSimulation, lambdaIsotropicForGeometry } from './lightlane-engine.js';\nimport { SOUND_IDS, safePlaySound } from '../hostBridge';\nimport type { GlitchHostBridge, SceneViewMode } from '../types';\n\n// Flying bar animation component\ninterface FlyingBar {\n id: number;\n value: number;\n startBottom: number; // Distance from bottom of viewport\n startLeft: number; // Distance from left of viewport\n barHeight: number;\n barWidth: number;\n targetLeft: number; // Target X position in distribution\n targetTop: number; // Target Y position (from top of viewport)\n color: string;\n type: 'observed' | 'theory';\n}\n\nconst poissonPalette = {\n solid: '#60a5fa',\n dark: '#3b82f6',\n light: '#93c5fd',\n glow: 'rgba(96,165,250,0.5)',\n panel: 'rgba(0,20,40,0.8)',\n};\n\nconst lightlanePalette = {\n solid: '#fbbf24',\n dark: '#f59e0b',\n light: '#fef3c7',\n glow: 'rgba(251,191,36,0.5)',\n panel: 'rgba(40,20,0,0.8)',\n};\n\nconst headlineFont = 'var(--font-headline)';\nconst uiFont = 'var(--font-ui)';\nconst terminalGreen = 'var(--terminal-green)';\nconst terminalGreenSoft = 'var(--terminal-green-soft)';\nconst terminalGreenMuted = 'var(--terminal-green-muted)';\n\nfunction FlyingBars({ bars }: { bars: FlyingBar[] }) {\n const screenHeight = window.innerHeight;\n // const screenWidth = window.innerWidth;\n\n return (\n <>\n {bars.map((bar) => {\n // Convert bottom to top positioning\n // startBottom is distance from bottom, so top = screenHeight - startBottom - barHeight\n const startTop = screenHeight - bar.startBottom - bar.barHeight;\n\n const deltaX = bar.targetLeft - bar.startLeft;\n const deltaY = bar.targetTop - startTop; // negative = move up\n\n return (\n \n );\n })}\n \n \n );\n}\n\ninterface RunningMoments {\n n: number;\n meanObs: number;\n m2Obs: number;\n meanIso: number;\n m2Iso: number;\n}\n\nfunction createEmptyMoments(): RunningMoments {\n return { n: 0, meanObs: 0, m2Obs: 0, meanIso: 0, m2Iso: 0 };\n}\n\nfunction updateMoments(m: RunningMoments, observed: number, isotropic: number): RunningMoments {\n const nextN = m.n + 1;\n\n const deltaObs = observed - m.meanObs;\n const meanObs = m.meanObs + deltaObs / nextN;\n const m2Obs = m.m2Obs + deltaObs * (observed - meanObs);\n\n const deltaIso = isotropic - m.meanIso;\n const meanIso = m.meanIso + deltaIso / nextN;\n const m2Iso = m.m2Iso + deltaIso * (isotropic - meanIso);\n\n return { n: nextN, meanObs, m2Obs, meanIso, m2Iso };\n}\n\ninterface SamplingSystemProps {\n complexity: number;\n radius: number; // Lightlane radius (collision threshold)\n distance: number; // Visual lightlane cylinder length\n theta: number;\n phi: number;\n observationMode: 'orbit' | 'randomSphere';\n allSectors: boolean;\n cumulative: boolean;\n K: number; // Poisson constant\n orbitRadius: number; // Satellite orbit radius\n orbitVelocity: number;\n thetaDrift: number;\n thetaJitter: number;\n phiJitter: number;\n usePoisson: boolean;\n speedup: number; // Time speedup factor\n paused: boolean;\n sceneView: SceneViewMode;\n bottomInset?: number;\n showNumericDiagnostics?: boolean;\n compactNumericDiagnostics?: boolean;\n host?: GlitchHostBridge;\n centerDistribution?: boolean;\n hideFlyingBars?: boolean;\n}\n\nexport function SamplingSystem({\n complexity,\n radius,\n distance,\n theta,\n phi,\n observationMode,\n allSectors,\n cumulative,\n K,\n orbitRadius,\n orbitVelocity,\n thetaDrift,\n thetaJitter,\n phiJitter,\n usePoisson,\n speedup,\n paused,\n sceneView,\n bottomInset = 0,\n showNumericDiagnostics = true,\n compactNumericDiagnostics = false,\n host,\n centerDistribution = false,\n hideFlyingBars = false\n}: SamplingSystemProps) {\n const [stats, setStats] = useState({\n current: 0,\n total: 0,\n lastCheck: 0,\n overlaps: 0,\n currentTheory: 0,\n binOverlapsMean: 0,\n currentExpectedLightlane: 0\n });\n const subBinSamples = 4;\n const simulator = useMemo(() => createSamplingSimulation({\n D: orbitRadius,\n theta,\n phi,\n observationMode,\n velocity: orbitVelocity,\n thetaDrift,\n thetaJitter,\n phiJitter,\n distance,\n hitTestModel: 'segment',\n bin_size: 1,\n complexity,\n sub_bin_sampling: subBinSamples,\n flux: K,\n lane_radius: radius,\n allSectors,\n cumulative,\n usePoisson\n }), [orbitRadius, theta, phi, observationMode, orbitVelocity, thetaDrift, thetaJitter, phiJitter, complexity, K, radius, distance, allSectors, cumulative, usePoisson]);\n\n // Fixed size buffer for display\n const bufferSize = 60;\n const historyRef = useRef(new Array(bufferSize).fill(-1));\n const historyTheoryRef = useRef(new Array(bufferSize).fill(-1));\n const currentIndexRef = useRef(0);\n const [history, setHistory] = useState(new Array(bufferSize).fill(-1));\n const [historyTheory, setHistoryTheory] = useState(new Array(bufferSize).fill(-1));\n\n // Calculate expected lambda (mean) from theory: K * r² / (4 * d²)\n const lambdaMean = lambdaIsotropicForGeometry({\n flux: K,\n D: orbitRadius,\n lane_radius: radius,\n dt: 1,\n hitTestModel: 'segment',\n lane_length: distance\n });\n const lambdaStdDev = Math.sqrt(lambdaMean);\n\n // Distribution binning:\n // - Poisson mode: integer-aligned bins (one photon count per bin) to avoid quantization artifacts\n // - Deterministic mode: coarse continuous bins for readability\n const distributionBinsContinuous = 15;\n const binRangeHalf = 4 * lambdaStdDev;\n const binMin = Math.max(0, lambdaMean - binRangeHalf);\n const binMax = lambdaMean + binRangeHalf;\n const useDiscreteCountBins = usePoisson;\n const discreteBinMin = Math.max(0, Math.floor(binMin));\n const discreteBinMax = Math.max(discreteBinMin, Math.ceil(binMax));\n const distributionBins = useDiscreteCountBins\n ? (discreteBinMax - discreteBinMin + 1)\n : distributionBinsContinuous;\n const binWidth = useDiscreteCountBins\n ? 1\n : Math.max(1e-9, (binMax - binMin) / distributionBinsContinuous);\n\n // Helper to convert a count value to a bin index\n const valueToBinIndex = (value: number): number => {\n if (useDiscreteCountBins) {\n const k = Math.round(value);\n if (k <= discreteBinMin) return 0;\n if (k >= discreteBinMax) return distributionBins - 1;\n return k - discreteBinMin;\n }\n\n if (value < binMin) return 0;\n if (value >= binMax) return distributionBins - 1;\n return Math.floor((value - binMin) / binWidth);\n };\n\n // Helper to get the center value of a bin (for display)\n const binIndexToValue = (index: number): number => {\n if (useDiscreteCountBins) return discreteBinMin + index;\n return binMin + (index + 0.5) * binWidth;\n };\n\n const [distributionObserved, setDistributionObserved] = useState(new Array(distributionBins).fill(0));\n const [distributionTheory, setDistributionTheory] = useState(new Array(distributionBins).fill(0));\n\n // Track which bars have been unfastened (clicked)\n const [unfastenedObserved, setUnfastenedObserved] = useState>(new Set());\n const [unfastenedTheory, setUnfastenedTheory] = useState>(new Set());\n\n // Flying bars state\n const [flyingBars, setFlyingBars] = useState([]);\n const flyingBarIdRef = useRef(0);\n const summaryRef = useRef(createEmptyMoments());\n const [summary, setSummary] = useState(createEmptyMoments());\n const pausedRef = useRef(paused);\n const lastBarSoundAtRef = useRef(0);\n\n // Reset all counting when complexity or mean-affecting parameters change\n // (K, radius, orbitRadius affect lambdaMean which determines bin ranges)\n useEffect(() => {\n // Reset distribution histograms\n setDistributionObserved(new Array(distributionBins).fill(0));\n setDistributionTheory(new Array(distributionBins).fill(0));\n\n // Reset periodogram buffers\n historyRef.current.fill(-1);\n historyTheoryRef.current.fill(-1);\n currentIndexRef.current = 0;\n setHistory(new Array(bufferSize).fill(-1));\n setHistoryTheory(new Array(bufferSize).fill(-1));\n\n // Reset unfastened tracking\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n\n // Clear flying bars\n setFlyingBars([]);\n summaryRef.current = createEmptyMoments();\n setSummary(createEmptyMoments());\n setStats({\n current: 0,\n total: 0,\n lastCheck: 0,\n overlaps: 0,\n currentTheory: 0,\n binOverlapsMean: 0,\n currentExpectedLightlane: 0\n });\n }, [complexity, K, radius, distance, orbitRadius, theta, phi, observationMode, orbitVelocity, thetaDrift, thetaJitter, phiJitter, allSectors, cumulative, usePoisson, distributionBins]);\n\n const ingestBins = (bins: Array<{\n lightlane: number;\n isotropic: number;\n overlapsMean: number;\n lambdaLightlaneExpected: number;\n }>, lastLaneCount: number) => {\n if (bins.length === 0) return;\n\n let totalObservedAdded = 0;\n let lastObserved = 0;\n let lastTheory = 0;\n let lastBinOverlapsMean = stats.binOverlapsMean;\n let lastExpectedLightlane = stats.currentExpectedLightlane;\n let nextSummary = summaryRef.current;\n\n for (const bin of bins) {\n const observed = bin.lightlane;\n const observedTheory = bin.isotropic;\n totalObservedAdded += observed;\n lastObserved = observed;\n lastTheory = observedTheory;\n lastBinOverlapsMean = bin.overlapsMean;\n lastExpectedLightlane = bin.lambdaLightlaneExpected;\n nextSummary = updateMoments(nextSummary, observed, observedTheory);\n\n historyRef.current[currentIndexRef.current] = observed;\n historyTheoryRef.current[currentIndexRef.current] = observedTheory;\n currentIndexRef.current++;\n\n if (currentIndexRef.current >= bufferSize) {\n const currentMaxVal = Math.max(10, ...historyRef.current.filter(v => v >= 0), ...historyTheoryRef.current.filter(v => v >= 0));\n autoAccumulateRow([...historyRef.current], [...historyTheoryRef.current], currentMaxVal);\n\n historyRef.current.fill(-1);\n historyTheoryRef.current.fill(-1);\n currentIndexRef.current = 0;\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n }\n }\n summaryRef.current = nextSummary;\n\n setStats(prev => ({\n current: lastObserved,\n total: prev.total + totalObservedAdded,\n lastCheck: Date.now(),\n overlaps: lastLaneCount,\n currentTheory: lastTheory,\n binOverlapsMean: lastBinOverlapsMean,\n currentExpectedLightlane: lastExpectedLightlane\n }));\n setSummary(nextSummary);\n setHistory([...historyRef.current]);\n setHistoryTheory([...historyTheoryRef.current]);\n };\n\n // Swipe state for unfastening multiple bars\n const isDraggingRef = useRef(false);\n const dragTypeRef = useRef<'observed' | 'theory' | null>(null);\n\n // Handle swipe/drag to unfasten multiple bars\n const handlePointerDown = (e: React.PointerEvent, type: 'observed' | 'theory') => {\n e.stopPropagation();\n isDraggingRef.current = true;\n dragTypeRef.current = type;\n (e.target as HTMLElement).setPointerCapture(e.pointerId);\n safePlaySound(host, SOUND_IDS.click, { target: `${type}-periodogram`, action: 'pointer-down' });\n };\n\n const handlePointerMove = (e: React.PointerEvent, type: 'observed' | 'theory', historyData: number[], maxValue: number) => {\n if (!isDraggingRef.current || dragTypeRef.current !== type) return;\n e.stopPropagation();\n\n // Calculate which bar index we're over\n const rect = (e.currentTarget as HTMLElement).getBoundingClientRect();\n const x = e.clientX - rect.left;\n const barIndex = Math.floor((x / rect.width) * bufferSize);\n\n if (barIndex >= 0 && barIndex < bufferSize) {\n const val = historyData[barIndex];\n const isUnfastened = type === 'observed' ? unfastenedObserved.has(barIndex) : unfastenedTheory.has(barIndex);\n if (val >= 0 && !isUnfastened) {\n handleBarClick(barIndex, val, type, maxValue);\n }\n }\n };\n\n const handlePointerUp = (e: React.PointerEvent) => {\n e.stopPropagation();\n isDraggingRef.current = false;\n dragTypeRef.current = null;\n };\n\n // Calculate bar dimensions for flying animation\n const getBarDimensions = (index: number, value: number, type: 'observed' | 'theory', maxValue: number) => {\n const screenWidth = window.innerWidth;\n // const screenHeight = window.innerHeight;\n\n // Starting X position: (index / bufferSize) * screenWidth\n const startLeft = (index / bufferSize) * screenWidth;\n\n // Bar width\n const barWidth = screenWidth / bufferSize;\n\n // Bar height based on value\n const barHeight = Math.max(2, (value / maxValue) * 80);\n\n // Starting position from BOTTOM of viewport\n // Observed histogram: 100px container at very bottom with 20px padding\n // Theory histogram: 100px container above observed with 5px padding\n // Bars are aligned to bottom of their containers\n const observedBottom = 25; // within observed container\n const theoryBottom = 110; // within theory container (100px + some padding)\n const startBottom = type === 'observed' ? observedBottom : theoryBottom;\n\n // Bin index using the centered distribution mapping\n const binIndex = valueToBinIndex(value);\n\n // Target X position: place at the bin's visual position in the distribution histogram\n // The histogram spans the full width with distributionBins bins\n // Account for padding (20px on each side)\n const histogramPadding = 20;\n const histogramWidth = screenWidth - (2 * histogramPadding);\n const targetLeft = histogramPadding + ((binIndex + 0.5) / distributionBins) * histogramWidth;\n\n // Target Y position (from TOP of viewport) - aim for distribution area\n const targetTop = 150;\n\n return { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex };\n };\n\n // Handle clicking on a bar to unfasten it\n const handleBarClick = (index: number, value: number, type: 'observed' | 'theory', maxValue: number) => {\n if (value < 0) return; // Don't unfasten empty slots\n\n const now = Date.now();\n if (now - lastBarSoundAtRef.current >= 45) {\n lastBarSoundAtRef.current = now;\n safePlaySound(host, SOUND_IDS.computeStep, { target: `${type}-periodogram`, value });\n }\n\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop } = getBarDimensions(index, value, type, maxValue);\n\n // Create flying bar\n const newBar: FlyingBar = {\n id: flyingBarIdRef.current++,\n value,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: type === 'observed' ? lightlanePalette.solid : poissonPalette.solid,\n type\n };\n\n setFlyingBars(prev => [...prev, newBar]);\n\n // Mark bar as unfastened\n if (type === 'observed') {\n setUnfastenedObserved(prev => new Set(prev).add(index));\n // Update distribution using centered binning\n setDistributionObserved(prev => {\n const newDist = [...prev];\n const binIdx = valueToBinIndex(value);\n newDist[binIdx]++;\n return newDist;\n });\n } else {\n setUnfastenedTheory(prev => new Set(prev).add(index));\n // Update distribution using centered binning\n setDistributionTheory(prev => {\n const newDist = [...prev];\n const binIdx = valueToBinIndex(value);\n newDist[binIdx]++;\n return newDist;\n });\n }\n };\n\n // Auto-accumulate entire row when buffer fills\n const autoAccumulateRow = (historyData: number[], theoryData: number[], maxValue: number) => {\n const newFlyingBars: FlyingBar[] = [];\n const newDistObserved = [...distributionObserved];\n const newDistTheory = [...distributionTheory];\n\n // Process observed bars\n historyData.forEach((val, i) => {\n if (val >= 0) {\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex } = getBarDimensions(i, val, 'observed', maxValue);\n newFlyingBars.push({\n id: flyingBarIdRef.current++,\n value: val,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: lightlanePalette.solid,\n type: 'observed'\n });\n newDistObserved[binIndex]++;\n }\n });\n\n // Process theory bars\n theoryData.forEach((val, i) => {\n if (val >= 0) {\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex } = getBarDimensions(i, val, 'theory', maxValue);\n newFlyingBars.push({\n id: flyingBarIdRef.current++,\n value: val,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: poissonPalette.solid,\n type: 'theory'\n });\n newDistTheory[binIndex]++;\n }\n });\n\n setFlyingBars(prev => [...prev, ...newFlyingBars]);\n setDistributionObserved(newDistObserved);\n setDistributionTheory(newDistTheory);\n };\n\n // Clean up flying bars after animation completes\n useEffect(() => {\n if (flyingBars.length > 0) {\n const timer = setTimeout(() => {\n setFlyingBars([]);\n }, 1300); // Clear after animation duration (1.2s) + buffer\n return () => clearTimeout(timer);\n }\n }, [flyingBars.length]); // Only trigger on length change to avoid infinite loops\n\n // Reset unfastened state when buffer resets\n const prevIndexRef = useRef(0);\n useEffect(() => {\n if (currentIndexRef.current < prevIndexRef.current) {\n // Buffer was reset\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n }\n prevIndexRef.current = currentIndexRef.current;\n });\n useEffect(() => {\n const wasPaused = pausedRef.current;\n pausedRef.current = paused;\n if (!paused || wasPaused) return;\n\n const flushed = simulator.flushPartialBin();\n if (flushed) {\n ingestBins([flushed], flushed.overlaps);\n }\n }, [paused, simulator]);\n\n useFrame((_, delta) => {\n if (paused) return;\n const step = simulator.simulate(delta * speedup);\n\n if (step.subBinEvents > 0) {\n setStats(prev => ({ ...prev, overlaps: step.lastLaneCount }));\n }\n\n ingestBins(step.bins, step.lastLaneCount);\n });\n\n // Calculate max ignoring -1 placeholders\n const validValues = history.filter(v => v >= 0);\n const validValuesTheory = historyTheory.filter(v => v >= 0);\n const maxValLightlane = Math.max(10, Math.max(0, ...validValues));\n const maxValPoisson = Math.max(10, Math.max(0, ...validValuesTheory));\n // Distribution max for scaling\n const maxDistribution = Math.max(1, ...distributionObserved, ...distributionTheory);\n const observedVariance = summary.n > 1 ? summary.m2Obs / (summary.n - 1) : 0;\n const isotropicVariance = summary.n > 1 ? summary.m2Iso / (summary.n - 1) : 0;\n const meanRatio = summary.meanIso > 0 ? summary.meanObs / summary.meanIso : 0;\n const varianceRatio = isotropicVariance > 0 ? observedVariance / isotropicVariance : 0;\n const fanoObserved = summary.meanObs > 0 ? observedVariance / summary.meanObs : 0;\n const fanoIsotropic = summary.meanIso > 0 ? isotropicVariance / summary.meanIso : 0;\n const laneCount = simulator.getLaneCount();\n const lcIsoTarget = laneCount > 0 && K > 0 ? (laneCount * lambdaMean) / K : 0;\n const renderNumericInline = showNumericDiagnostics && !compactNumericDiagnostics;\n const showPoissonView = sceneView !== 'lightlane';\n const showLightlaneView = sceneView !== 'poisson';\n const visibleFlyingBars = flyingBars.filter((bar) => (\n (bar.type === 'theory' && showPoissonView) || (bar.type === 'observed' && showLightlaneView)\n ));\n const distributionTitle = sceneView === 'poisson'\n ? 'Shot Noise Distribution'\n : sceneView === 'lightlane'\n ? 'Shot Noise + Lightlane'\n : 'Head to Head';\n\n const metricCardBase: React.CSSProperties = {\n background: 'rgba(255,255,255,0.04)',\n border: '1px solid var(--terminal-panel-border)',\n borderRadius: '6px',\n padding: '6px 8px',\n fontFamily: uiFont\n };\n\n const numericCards = (\n
\n
\n
Samples
\n
{summary.n}
\n
\n
\n
Mean Ratio (Lightlane/Poisson)
\n
{summary.n > 0 ? meanRatio.toFixed(3) : 'n/a'}
\n
\n
\n
Var Ratio (Lightlane/Poisson)
\n
1.1 ? lightlanePalette.light : poissonPalette.light }}>\n {summary.n > 1 ? varianceRatio.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Lightlane
\n
\n {summary.n > 1 ? fanoObserved.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Poisson
\n
\n {summary.n > 1 ? fanoIsotropic.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Ratio (Lightlane/Poisson)
\n
0 && fanoObserved / fanoIsotropic > 1.05 ? lightlanePalette.light : terminalGreenSoft }}>\n {summary.n > 1 && fanoIsotropic > 0 ? (fanoObserved / fanoIsotropic).toFixed(3) : 'n/a'}\n
\n
\n
\n );\n\n const numericContext = (\n
\n LC(now): {stats.overlaps}\n LC(bin avg): {stats.binOverlapsMean.toFixed(2)}\n LC iso target: {Number.isFinite(lcIsoTarget) ? lcIsoTarget.toFixed(2) : 'n/a'}\n E[Lightlane|bin]: {stats.currentExpectedLightlane.toFixed(2)}\n Lightlane(last): {typeof stats.current === 'number' ? Number(stats.current).toFixed(2) : stats.current}\n Lanes: {laneCount}\n Mode: {observationMode === 'randomSphere' ? 'Random Sphere' : 'Orbit'}\n theta drift: {thetaDrift.toFixed(3)}\n theta jitter: {thetaJitter.toFixed(3)}\n phi jitter: {phiJitter.toFixed(3)}\n
\n );\n\n return (\n <>\n {/* Flying bars animation */}\n {!hideFlyingBars && (\n \n \n \n )}\n\n {/* Distribution Histogram at Top */}\n \n
\n {distributionTitle}\n \n (λ = {lambdaMean.toFixed(1)}, σ = {lambdaStdDev.toFixed(1)})\n \n
\n
\n {/* Y-axis label */}\n
\n ← Frequency (how many)\n
\n
\n {distributionObserved.map((count, i) => {\n const theoryCount = distributionTheory[i];\n const obsHeight = (count / maxDistribution) * 100;\n const theoryHeight = (theoryCount / maxDistribution) * 100;\n\n return (\n
\n
\n {showPoissonView && (\n
0 ? '2px' : '0',\n transition: 'height 0.3s ease',\n boxShadow: theoryCount > 0 ? `0 0 5px ${poissonPalette.glow}` : 'none',\n position: 'relative'\n }}>\n {theoryCount > 0 && (\n
\n {theoryCount}\n
\n )}\n
\n )}\n {showLightlaneView && (\n
0 ? '2px' : '0',\n transition: 'height 0.3s ease',\n boxShadow: count > 0 ? `0 0 5px ${lightlanePalette.glow}` : 'none',\n position: 'relative'\n }}>\n {count > 0 && (\n
\n {count}\n
\n )}\n
\n )}\n
\n {/* Bin label (photon count value - center of bin) */}\n
\n {binIndexToValue(i).toFixed(0)}\n
\n
\n );\n })}\n
\n {/* X-axis label */}\n
\n Photon Count Value →\n
\n
\n {showPoissonView && (\n
\n
\n Theory (Poisson)\n
\n )}\n {showLightlaneView && (\n
\n
\n Observed (Lightlanes)\n
\n )}\n
\n {renderNumericInline && numericCards}\n {renderNumericInline && numericContext}\n
\n \n\n {showNumericDiagnostics && compactNumericDiagnostics && (\n \n
\n
\n Diagnostics\n
\n {numericCards}\n {numericContext}\n
\n \n )}\n\n {/* Periodogram Histograms at Bottom of Screen */}\n \n {showPoissonView && (\n handlePointerDown(e, 'theory')}\n onPointerMove={(e) => handlePointerMove(e, 'theory', historyTheory, maxValPoisson)}\n onPointerUp={handlePointerUp}\n onPointerLeave={handlePointerUp}\n style={{\n width: '100%',\n height: '100px',\n background: `linear-gradient(to top, ${poissonPalette.panel}, transparent)`,\n display: 'flex',\n alignItems: 'flex-end',\n padding: showLightlaneView ? '0 20px 5px 20px' : '0 20px 20px 20px',\n gap: '2px',\n position: 'relative',\n borderBottom: showLightlaneView ? '1px solid #555' : 'none',\n pointerEvents: 'auto',\n touchAction: 'none',\n cursor: 'crosshair'\n }}\n >\n
\n THEORY (Poisson) - Swipe or click to count\n
\n {historyTheory.map((val, i) => {\n const isUnfastened = unfastenedTheory.has(i);\n return (\n = 0 && !isUnfastened ? 'clickable-bar' : ''}\n style={{\n flex: 1,\n height: val >= 0 && !isUnfastened ? `${(val / maxValPoisson) * 100}%` : '0',\n background: val === 0 ? 'rgba(255,255,255,0.1)' : poissonPalette.solid,\n color: poissonPalette.solid,\n minHeight: val >= 0 && !isUnfastened ? '1px' : '0',\n transition: 'all 0.3s ease',\n opacity: isUnfastened ? 0 : 0.8,\n borderRadius: '2px 2px 0 0',\n transform: isUnfastened ? 'scale(0)' : 'scale(1)',\n pointerEvents: 'none',\n }}\n />\n );\n })}\n
\n Max: {maxValPoisson}\n
\n
\n )}\n\n {showLightlaneView && (\n handlePointerDown(e, 'observed')}\n onPointerMove={(e) => handlePointerMove(e, 'observed', history, maxValLightlane)}\n onPointerUp={handlePointerUp}\n onPointerLeave={handlePointerUp}\n style={{\n width: '100%',\n height: '100px',\n background: 'linear-gradient(to top, rgba(0,0,0,0.8), transparent)',\n display: 'flex',\n alignItems: 'flex-end',\n padding: '0 20px 20px 20px',\n gap: '2px',\n position: 'relative',\n pointerEvents: 'auto',\n touchAction: 'none',\n cursor: 'crosshair'\n }}\n >\n
\n OBSERVED (Lightlanes) - Swipe or click to count\n
\n {history.map((val, i) => {\n const isUnfastened = unfastenedObserved.has(i);\n return (\n = 0 && !isUnfastened ? 'clickable-bar' : ''}\n style={{\n flex: 1,\n height: val >= 0 && !isUnfastened ? `${(val / maxValLightlane) * 100}%` : '0',\n background: val === 0 ? 'rgba(255,255,255,0.1)' : (val > 0 ? lightlanePalette.solid : 'transparent'),\n color: lightlanePalette.solid,\n minHeight: val >= 0 && !isUnfastened ? '2px' : '0',\n transition: 'all 0.3s ease',\n borderTop: val >= 0 && !isUnfastened ? `2px solid ${lightlanePalette.light}` : 'none',\n opacity: isUnfastened ? 0 : 0.8,\n position: 'relative',\n borderRadius: '2px 2px 0 0',\n transform: isUnfastened ? 'scale(0)' : 'scale(1)',\n pointerEvents: 'none',\n }}\n >\n {(i + 1) % 5 === 0 && !isUnfastened && (\n
\n {i + 1}\n
\n )}\n
\n );\n })}\n
\n Max: {maxValLightlane}\n
\n
\n )}\n \n \n );\n}\n","\nexport type SceneViewMode = 'both' | 'poisson' | 'lightlane';\n\nexport interface LightlaneProps {\n complexity?: number;\n radius?: number;\n distance?: number;\n chandraDistance?: number;\n showAxes?: boolean;\n lightlanes?: boolean;\n allSectors?: boolean;\n cumulative?: boolean;\n phi?: number;\n theta?: number;\n observationMode?: 'orbit' | 'randomSphere';\n orbitSpeed?: number;\n thetaDrift?: number;\n thetaJitter?: number;\n phiJitter?: number;\n speedup?: number;\n K?: number;\n usePoisson?: boolean;\n sceneView?: SceneViewMode;\n hideScenePresentation?: boolean;\n hideFlyingBars?: boolean;\n hideDataBoxes?: boolean;\n}\n\nexport const defaultProps: Required = {\n complexity: 1,\n radius: 2,\n distance: 5,\n chandraDistance: 6,\n showAxes: false, // Cleaner look for challenge\n lightlanes: true, // Always show lightlanes\n allSectors: true,\n cumulative: false,\n phi: 0,\n theta: Math.PI / 2,\n observationMode: 'orbit',\n orbitSpeed: 0.2,\n thetaDrift: 0,\n thetaJitter: 0,\n phiJitter: 0,\n speedup: 1,\n K: 1000,\n usePoisson: true,\n sceneView: 'both',\n hideScenePresentation: false,\n hideFlyingBars: false,\n hideDataBoxes: false\n};\n\nexport interface GlitchComponentConfig {\n id: string;\n name: string;\n version: string;\n params: Record;\n}\n\nexport interface GlitchHostBridge {\n playSound?: (id: string, payload?: Record) => void;\n stopSound?: (id: string, payload?: Record) => void;\n emit?: (type: string, payload?: unknown) => void;\n}\n\nexport interface GlitchTheme {\n primary: string; // #6366f1\n accent: string; // #22d3ee\n bg: string; // #0a0a0f\n bgSecondary: string; // #12121a\n text: string; // #e8e8ec\n textMuted: string; // #9999a8\n border: string; // #2a2a3a\n}\n\nexport interface GlitchComponentResult {\n success: boolean;\n score?: number;\n data?: unknown;\n error?: string;\n}\n\nexport interface GlitchComponentProps {\n config: GlitchComponentConfig;\n onComplete: (result: GlitchComponentResult) => void;\n onProgress?: (percent: number) => void;\n theme?: GlitchTheme;\n className?: string;\n host?: GlitchHostBridge;\n}\n\nexport interface ParamSchema {\n [key: string]: {\n type: 'number' | 'string' | 'boolean' | 'color' | 'select' | 'range';\n label?: string;\n description?: string;\n default: unknown;\n options?: { value: string | number; label: string }[];\n min?: number;\n max?: number;\n step?: number;\n };\n}\n\nexport interface GlitchComponentMetadata {\n name: string;\n displayName: string;\n version: string;\n paramSchema: ParamSchema;\n defaultParams: Record;\n}\n","import { useEffect, useRef, useState } from 'react'\nimport { useFrame } from '@react-three/fiber'\nimport { Grid, Html } from '@react-three/drei'\nimport { DiophantineVectors } from './components/DiophantineVectors'\nimport { FanoSweepPanel } from './components/FanoSweepPanel'\nimport { PoissonShell } from './components/PoissonShell'\nimport { PulsingSphere } from './components/PulsingSphere'\nimport { OrbitingObject } from './components/OrbitingObject'\nimport { SamplingSystem } from './components/SamplingSystem'\nimport { SOUND_IDS, safePlaySound } from './hostBridge'\nimport { type GlitchComponentProps, type LightlaneProps, type SceneViewMode, defaultProps as internalDefaults } from './types'\n\ntype ComponentDevUiOverrides = {\n showNumericDiagnostics?: boolean;\n compactNumericDiagnostics?: boolean;\n onOpenHarness?: () => void;\n onSetParam?: (name: 'complexity' | 'speedup', value: number) => void;\n maxComplexity?: number;\n maxSpeedup?: number;\n};\n\ntype ComponentProps = GlitchComponentProps & {\n devUi?: ComponentDevUiOverrides;\n};\n\nexport default function Component(props: ComponentProps) {\n const host = props.host;\n const compactNumericDiagnostics = props.devUi?.compactNumericDiagnostics ?? false;\n const maxComplexity = props.devUi?.maxComplexity ?? 20;\n const maxSpeedup = props.devUi?.maxSpeedup ?? 240;\n const bottomMenuHeight = 74;\n const cycleLevelCount = 20;\n\n // Extract params from config\n const params = props.config?.params || {};\n\n // Merge props with defaults, casting params to LightlaneProps\n const {\n complexity,\n radius,\n distance,\n chandraDistance,\n showAxes,\n lightlanes,\n allSectors,\n cumulative,\n phi,\n theta,\n observationMode,\n orbitSpeed,\n thetaDrift,\n thetaJitter,\n phiJitter,\n speedup,\n K,\n usePoisson,\n sceneView: configuredSceneView,\n hideScenePresentation,\n hideFlyingBars,\n hideDataBoxes\n } = { ...internalDefaults, ...params } as Required;\n const showNumericDiagnostics = !hideDataBoxes;\n\n // Track global orbit time to ensure continuity\n const orbitTimeRef = useRef(0);\n const simTimeRef = useRef(0);\n const [paused, setPaused] = useState(false);\n const [page, setPage] = useState<'scene' | 'fano'>('scene');\n const [sceneView, setSceneView] = useState(configuredSceneView);\n const [effectiveComplexity, setEffectiveComplexity] = useState(complexity);\n const [effectiveSpeedup, setEffectiveSpeedup] = useState(speedup);\n const [settingFlash, setSettingFlash] = useState(null);\n const settingFlashTimerRef = useRef | null>(null);\n\n useEffect(() => {\n setSceneView(configuredSceneView);\n }, [configuredSceneView]);\n\n useEffect(() => {\n setEffectiveComplexity(complexity);\n }, [complexity]);\n\n useEffect(() => {\n setEffectiveSpeedup(speedup);\n }, [speedup]);\n\n const hideFlyingBarsAtHighSpeed = effectiveSpeedup > 20;\n const showPoissonView = sceneView !== 'lightlane';\n const showLightlaneView = sceneView !== 'poisson';\n const isComplexityEnabled = page === 'scene' && sceneView !== 'poisson';\n\n const getModeLabel = (mode: SceneViewMode) => {\n if (mode === 'poisson') return 'Poisson';\n if (mode === 'lightlane') return 'Lightlane';\n return 'Both';\n };\n\n const playUiHover = () => {\n safePlaySound(host, SOUND_IDS.hover, { page, sceneView });\n };\n\n const playUiClick = (target: string, payload?: Record) => {\n safePlaySound(host, SOUND_IDS.click, { page, sceneView, target, ...payload });\n };\n\n const flashSetting = (message: string) => {\n setSettingFlash(message);\n if (settingFlashTimerRef.current) clearTimeout(settingFlashTimerRef.current);\n settingFlashTimerRef.current = setTimeout(() => {\n setSettingFlash(null);\n settingFlashTimerRef.current = null;\n }, 1500);\n };\n\n const getCycleLevels = (maxValue: number) => {\n if (cycleLevelCount <= 1) return [maxValue];\n\n const interpolatedLevels = Array.from({ length: cycleLevelCount }, (_, index) => {\n if (index === 0) return 1;\n if (index === cycleLevelCount - 1) return maxValue;\n return Math.round(1 + ((maxValue - 1) * index) / (cycleLevelCount - 1));\n });\n\n return Array.from(new Set(interpolatedLevels)).sort((a, b) => a - b);\n };\n\n const getNextCycledValue = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n return levels.find((level) => current < level) ?? levels[levels.length - 1];\n };\n\n const getPreviousCycledValue = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n for (let index = levels.length - 1; index >= 0; index -= 1) {\n if (current > levels[index]) return levels[index];\n }\n return levels[0];\n };\n\n const getCycleLevelIndex = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n const index = levels.findIndex((level) => current <= level);\n return index >= 0 ? index : levels.length - 1;\n };\n\n const complexityLevel = getCycleLevelIndex(effectiveComplexity, maxComplexity);\n const turboLevel = getCycleLevelIndex(effectiveSpeedup, maxSpeedup);\n const complexityFill = `${((complexityLevel + 1) / cycleLevelCount) * 100}%`;\n const turboFill = `${((turboLevel + 1) / cycleLevelCount) * 100}%`;\n const canDecreaseComplexity = isComplexityEnabled && effectiveComplexity > getCycleLevels(maxComplexity)[0];\n const canIncreaseComplexity = isComplexityEnabled && effectiveComplexity < getCycleLevels(maxComplexity).at(-1)!;\n const canDecreaseSpeedup = effectiveSpeedup > getCycleLevels(maxSpeedup)[0];\n const canIncreaseSpeedup = effectiveSpeedup < getCycleLevels(maxSpeedup).at(-1)!;\n\n const stepComplexity = (direction: 'down' | 'up') => {\n if (!isComplexityEnabled) return;\n const next = direction === 'up'\n ? getNextCycledValue(effectiveComplexity, maxComplexity)\n : getPreviousCycledValue(effectiveComplexity, maxComplexity);\n if (next === effectiveComplexity) return;\n playUiClick('complexity', { direction, value: next });\n setEffectiveComplexity(next);\n props.devUi?.onSetParam?.('complexity', next);\n flashSetting(`Complexity ${next}`);\n };\n\n const stepSpeedup = (direction: 'down' | 'up') => {\n const next = direction === 'up'\n ? getNextCycledValue(effectiveSpeedup, maxSpeedup)\n : getPreviousCycledValue(effectiveSpeedup, maxSpeedup);\n if (next === effectiveSpeedup) return;\n playUiClick('turbo', { direction, value: next });\n setEffectiveSpeedup(next);\n props.devUi?.onSetParam?.('speedup', next);\n flashSetting(`Turbo ${next}x`);\n };\n\n const cycleMode = () => {\n const modes: SceneViewMode[] = ['poisson', 'lightlane', 'both'];\n const currentIndex = modes.indexOf(sceneView);\n const nextMode = modes[(currentIndex + 1) % modes.length];\n playUiClick('mode', { value: nextMode });\n setSceneView(nextMode);\n flashSetting(`Mode ${getModeLabel(nextMode)}`);\n };\n\n const toggleFanoPage = () => {\n playUiClick('fano-page', { value: page === 'scene' ? 'fano' : 'scene' });\n setPage((prev) => (prev === 'scene' ? 'fano' : 'scene'));\n };\n\n useEffect(() => {\n const onKeyDown = (event: KeyboardEvent) => {\n if (event.code !== 'Space' || event.repeat) return;\n\n const target = event.target as HTMLElement | null;\n const tag = target?.tagName;\n if (tag === 'INPUT' || tag === 'TEXTAREA' || target?.isContentEditable) return;\n\n event.preventDefault();\n setPaused(prev => !prev);\n };\n\n window.addEventListener('keydown', onKeyDown);\n return () => window.removeEventListener('keydown', onKeyDown);\n }, []);\n\n useEffect(() => () => {\n if (settingFlashTimerRef.current) clearTimeout(settingFlashTimerRef.current);\n }, []);\n\n useFrame((_, delta) => {\n if (paused || page === 'fano') return;\n // Accumulate orbit time continuously based on current speed and speedup\n orbitTimeRef.current += delta * orbitSpeed * effectiveSpeedup;\n simTimeRef.current += delta * effectiveSpeedup;\n });\n\n // Keep the visual camera model aligned with the sampling engine when the\n // simulator is recreated/reset by configuration changes (e.g. complexity).\n useEffect(() => {\n orbitTimeRef.current = 0;\n simTimeRef.current = 0;\n }, [\n effectiveComplexity,\n radius,\n distance,\n chandraDistance,\n phi,\n theta,\n observationMode,\n orbitSpeed,\n thetaDrift,\n thetaJitter,\n phiJitter,\n effectiveSpeedup,\n K,\n allSectors,\n cumulative,\n usePoisson,\n ]);\n\n return (\n <>\n \n
\n {\n playUiClick('advanced');\n props.devUi?.onOpenHarness?.();\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.86)',\n color: 'var(--terminal-green-soft)',\n borderRadius: 10,\n padding: '10px 12px',\n fontSize: 12,\n fontWeight: 400,\n letterSpacing: '0.08em',\n fontFamily: 'var(--font-headline)',\n textTransform: 'uppercase',\n cursor: 'pointer',\n boxShadow: '0 8px 24px rgba(0,0,0,0.25)',\n }}\n >\n Advanced\n \n
\n \n\n {/* Lighting */}\n \n \n \n\n {page === 'scene' ? (\n <>\n {/* Main content */}\n {!hideScenePresentation && showPoissonView && }\n\n {!hideScenePresentation && showLightlaneView && (\n \n )}\n\n {!hideScenePresentation && }\n\n \n\n \n\n {paused && (\n \n \n \n \n \n \n )}\n\n {/* Helpers */}\n {showAxes && }\n \n \n ) : (\n setPage('scene')}\n host={host}\n />\n )}\n\n \n {settingFlash && (\n \n {settingFlash}\n
\n )}\n \n \n \n \n \n {Array.from({ length: cycleLevelCount }).map((_, index) => (\n \n ))}\n
\n \n Complexity {complexityLevel + 1}/{cycleLevelCount}\n
\n
\n
\n \n \n \n \n \n {Array.from({ length: cycleLevelCount }).map((_, index) => (\n \n ))}\n
\n \n Turbo {turboLevel + 1}/{cycleLevelCount}\n
\n
\n
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\n
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\n \n\n \n \n )\n}\n","import Component from './Component';\nimport { type GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'lightlane',\n displayName: 'Lightlane Challenge',\n version: '1.1.0',\n paramSchema: {\n hideScenePresentation: { type: 'boolean', label: 'Hide Sphere + Lightlanes', default: false },\n hideFlyingBars: { type: 'boolean', label: 'Hide Flying Bars', default: false },\n hideDataBoxes: { type: 'boolean', label: 'Hide Data Boxes', default: false },\n complexity: { type: 'range', label: 'Complexity', default: 5, min: 1, max: 20, step: 1 },\n radius: { type: 'range', label: 'Distance to star', default: 2, min: 0.1, max: 5, step: 0.1 },\n chandraDistance: { type: 'range', label: 'Chandra Camera Distance', default: 6, min: 5, max: 30, step: 0.5 },\n observationMode: {\n type: 'select',\n label: 'Observation Mode',\n default: 'randomSphere',\n options: [\n { value: 'orbit', label: 'Orbit' 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\ No newline at end of file diff --git a/dist/vendor/glitch/glitch_lightlane/presets.d.ts b/dist/vendor/glitch/glitch_lightlane/presets.d.ts new file mode 100644 index 0000000..5e71c13 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/presets.d.ts @@ -0,0 +1,94 @@ +export interface Config { + complexity: number; + radius: number; + distance: number; + lightlanes: boolean; + allSectors: boolean; + cumulative: boolean; + phi: number; + theta: number; + orbitSpeed?: number; + usePoisson?: boolean; +} +export interface Preset { + name: string; + description: string; + duration: number; + start: Config; + end: Config; +} +export declare const presets: Preset[]; +export declare const namedPresets: { + "Iso: High Complexity": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Iso: Fast Orbit": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Iso: Optimal": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: Low Complexity": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: Slow Speed": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: High Distance": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; +}; diff --git a/dist/vendor/glitch/glitch_lightlane/types.d.ts b/dist/vendor/glitch/glitch_lightlane/types.d.ts new file mode 100644 index 0000000..114197e --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/types.d.ts @@ -0,0 +1,82 @@ +export type SceneViewMode = 'both' | 'poisson' | 'lightlane'; +export interface LightlaneProps { + complexity?: number; + radius?: number; + distance?: number; + chandraDistance?: number; + showAxes?: boolean; + lightlanes?: boolean; + allSectors?: boolean; + cumulative?: boolean; + phi?: number; + theta?: number; + observationMode?: 'orbit' | 'randomSphere'; + orbitSpeed?: number; + thetaDrift?: number; + thetaJitter?: number; + phiJitter?: number; + speedup?: number; + K?: number; + usePoisson?: boolean; + sceneView?: SceneViewMode; + hideScenePresentation?: boolean; + hideFlyingBars?: boolean; + hideDataBoxes?: boolean; +} +export declare const defaultProps: Required; +export interface GlitchComponentConfig { + id: string; + name: string; + version: string; + params: Record; +} +export interface GlitchHostBridge { + playSound?: (id: string, payload?: Record) => void; + stopSound?: (id: string, payload?: Record) => void; + emit?: (type: string, payload?: unknown) => void; +} +export interface GlitchTheme { + primary: string; + accent: string; + bg: string; + bgSecondary: string; + text: string; + textMuted: string; + border: string; +} +export interface GlitchComponentResult { + success: boolean; + score?: number; + data?: unknown; + error?: string; +} +export interface GlitchComponentProps { + config: GlitchComponentConfig; + onComplete: (result: GlitchComponentResult) => void; + onProgress?: (percent: number) => void; + theme?: GlitchTheme; + className?: string; + host?: GlitchHostBridge; +} +export interface ParamSchema { + [key: string]: { + type: 'number' | 'string' | 'boolean' | 'color' | 'select' | 'range'; + label?: string; + description?: string; + default: unknown; + options?: { + value: string | number; + label: string; + }[]; + min?: number; + max?: number; + step?: number; + }; +} +export interface GlitchComponentMetadata { + name: string; + displayName: string; + version: string; + paramSchema: ParamSchema; + defaultParams: Record; +} diff --git a/dist/vendor/glitch/glitch_lightlane/vectors.d.ts b/dist/vendor/glitch/glitch_lightlane/vectors.d.ts new file mode 100644 index 0000000..15013f8 --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/vectors.d.ts @@ -0,0 +1,2 @@ +export type Vector3Tuple = [number, number, number]; +export declare function getVectors(complexity: number, allSectors?: boolean): Vector3Tuple[]; diff --git a/dist/vendor/glitch/glitch_lightlane/vite.svg b/dist/vendor/glitch/glitch_lightlane/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/dist/vendor/glitch/glitch_lightlane/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/dist/vendor/glitch/glitch_migration_paradox/glitch.manifest.json b/dist/vendor/glitch/glitch_migration_paradox/glitch.manifest.json new file mode 100644 index 0000000..755f96e --- /dev/null +++ b/dist/vendor/glitch/glitch_migration_paradox/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "migration-paradox", + "displayName": "The Migration Paradox", + "version": "1.0.0", + "folderName": "glitch_migration_paradox", + "packageName": "migration-paradox", + "entry": "dist/migration-paradox.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "paradox", + "narrative" + ] +} diff --git a/dist/vendor/glitch/glitch_migration_paradox/migration-paradox.js b/dist/vendor/glitch/glitch_migration_paradox/migration-paradox.js new file mode 100644 index 0000000..e8de3a7 --- /dev/null +++ b/dist/vendor/glitch/glitch_migration_paradox/migration-paradox.js @@ -0,0 +1,422 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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xe, + insightButton: ye, + glowPulse: Be, + insight: ve, + insightTitle: qe, + paradoxDiagram: Ce, + paradoxNode: Te, + paradoxArrow: Fe, + paradoxLoop: fe, + spin: we, + insightText: Ae, + completeButton: Ie, + successBox: Ee, + successTitle: Se, + stats: je, + scoreDisplay: De, + scoreLabel: Me, + scoreValue: Le +}, E = "/glitch/migration-paradox", Re = 2, He = 1, _ = { + presenting: { + badge: "Migration Briefing", + title: "Stakeholders Await Your Plan", + copy: "Frame the migration as progress without triggering fear.", + detail: "You need a strategy that creates momentum before the paradox closes in.", + tone: "primary" + }, + "rejection-value": { + badge: "Stakeholder Response", + title: "Too Much Change", + copy: "Your pitch sounded valuable, but it also sounded dangerous.", + detail: "They want new capability only if nothing important feels different.", + tone: "danger" + }, + "rejection-same": { + badge: "Stakeholder Response", + title: "Too Little Value", + copy: "Your pitch sounded safe, but it also sounded pointless.", + detail: "They want risk contained, but they still expect the migration to matter.", + tone: "danger" + }, + awareness: { + badge: "Pattern Detected", + title: "Expose The Contradiction", + copy: "Show how value and continuity need different phases, not one impossible promise.", + detail: "Explore, preserve, and then innovate.", + tone: "accent" + }, + complete: { + badge: "Challenge Complete", + title: "Paradox Resolved", + copy: "You reframed the migration into a sequence stakeholders can accept.", + detail: "Value and stability can coexist when delivery is phased.", + tone: "success" + } +}; +function Ue(o) { + if (typeof o != "string") + return E; + const i = o.trim(); + return i ? i.replace(/\/+$/, "") : E; +} +function y(o, i) { + return `${o}/${i}`; +} +function S(o, i) { + const n = o === "A" ? Re : He, s = Math.floor(Math.random() * n) + 1; + return y(i, `rejection${o}_${s}.png`); +} +function N({ + src: o, + alt: i, + fallback: n, + onImageError: s +}) { + return /* @__PURE__ */ a("div", { className: e.imageFrame, children: o ? /* @__PURE__ */ a( + "img", + { + src: o, + alt: i, + className: e.sceneImage, + onError: () => s(o) + } + ) : /* @__PURE__ */ t( + "div", + { + className: e.sceneFallback, + "data-tone": n.tone, + role: "img", + "aria-label": i, + children: [ + /* @__PURE__ */ a("div", { className: e.sceneFallbackGlow }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackHud, children: [ + /* @__PURE__ */ a("span", { className: e.sceneFallbackBadge, children: n.badge }), + /* @__PURE__ */ a("span", { className: e.sceneFallbackSignal, children: "GLITCH SIM" }) + ] }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackCopy, children: [ + /* @__PURE__ */ a("p", { className: e.sceneFallbackKicker, children: n.copy }), + /* @__PURE__ */ a("h3", { className: e.sceneFallbackTitle, children: n.title }), + /* @__PURE__ */ a("p", { className: e.sceneFallbackDetail, children: n.detail }) + ] }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackBars, "aria-hidden": "true", children: [ + /* @__PURE__ */ a("span", {}), + /* @__PURE__ */ a("span", {}), + /* @__PURE__ */ a("span", {}) + ] }) + ] + } + ) }); +} +function Oe({ + config: o, + onComplete: i, + onProgress: n, + theme: s, + className: j +}) { + const k = (o == null ? void 0 : o.params) ?? {}, [h, p] = b("intro"), [l, T] = b({ + loopCount: 0, + valueAttempts: 0, + sameAttempts: 0 + }), [B, D] = b(!1), [F, f] = b(""), [w, M] = b({}), r = I( + () => Ue(k.assetBaseUrl ?? k.imageBaseUrl), + [k.assetBaseUrl, k.imageBaseUrl] + ), x = I(() => ({ + presenting: y(r, "presenting.png"), + insight: y(r, "insight.png"), + complete: y(r, "complete.png") + }), [r]), L = { + "--gc-primary": (s == null ? void 0 : s.primary) || "#6366f1", + "--gc-accent": (s == null ? void 0 : s.accent) || "#22d3ee", + "--gc-bg": (s == null ? void 0 : s.bg) || "#0a0a0f", + "--gc-bg-secondary": (s == null ? void 0 : s.bgSecondary) || "#12121a", + "--gc-text": (s == null ? void 0 : s.text) || "#e8e8ec", + "--gc-text-muted": (s == null ? void 0 : s.textMuted) || "#9999a8", + "--gc-border": (s == null ? void 0 : s.border) || "#2a2a3a" + }, m = l.valueAttempts + l.sameAttempts, v = m >= 4, u = d((c) => w[c] ? void 0 : c, [w]), g = d((c) => { + M((C) => C[c] ? C : { ...C, [c]: !0 }); + }, []), R = d(() => { + p("choice"), n == null || n(10); + }, [n]), H = d(() => { + f(S("A", r)), T((c) => ({ + ...c, + valueAttempts: c.valueAttempts + 1, + loopCount: c.loopCount + (c.sameAttempts > c.valueAttempts ? 0.5 : 0) + })), p("rejection-value"), n == null || n(Math.min(30 + m * 10, 80)); + }, [r, m, n]), U = d(() => { + f(S("B", r)), T((c) => ({ + ...c, + sameAttempts: c.sameAttempts + 1, + loopCount: c.loopCount + (c.valueAttempts > c.sameAttempts ? 0.5 : 0) + })), p("rejection-same"), n == null || n(Math.min(30 + m * 10, 80)); + }, [r, m, n]), A = d(() => { + p("choice"); + }, []), q = d(() => { + D(!0), p("awareness"), n == null || n(90); + }, [n]), Y = d(() => { + p("complete"), n == null || n(100), i({ + success: !0, + score: 100, + data: { + loopsBeforeInsight: Math.floor(l.loopCount), + totalAttempts: m, + valueAttempts: l.valueAttempts, + sameAttempts: l.sameAttempts + }, + rewards: { + paradoxes: [{ + id: "migration-paradox", + name: "The Migration Paradox", + description: "Stakeholders simultaneously demand that a migration adds value AND changes nothing.", + rarity: "uncommon" + }] + } + }); + }, [i, n, l, m]); + return /* @__PURE__ */ t("div", { className: `${e.container} ${j || ""}`, style: L, children: [ + h === "intro" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.presenting), + alt: "Presenting to stakeholders", + fallback: _.presenting, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "The Migration Paradox" }), + /* @__PURE__ */ a("p", { className: e.description, children: "You've been tasked with migrating the core system. Your stakeholders are waiting for your strategy." }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: R, children: "▶ Present Your Strategy" }) + ] }) + ] }), + h === "choice" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.presenting), + alt: "Presenting options", + fallback: _.presenting, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.dialogueHeader, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "Choose Your Approach" }), + l.loopCount > 0 && /* @__PURE__ */ t("span", { className: e.loopBadge, children: [ + "LOOP ", + Math.floor(l.loopCount) + 1 + ] }) + ] }), + /* @__PURE__ */ a("p", { className: e.description, children: "How will you pitch the migration project?" }), + /* @__PURE__ */ t("div", { className: e.choices, children: [ + /* @__PURE__ */ t( + "button", + { + className: e.choiceButton, + onClick: H, + children: [ + /* @__PURE__ */ a("span", { className: e.choiceKey, children: "A" }), + /* @__PURE__ */ t("span", { className: e.choiceContent, children: [ + /* @__PURE__ */ a("span", { className: e.choiceTitle, children: "Emphasize Change" }), + /* @__PURE__ */ a("span", { className: e.choiceDesc, children: '"The new system will add value and enable new capabilities"' }) + ] }) + ] + } + ), + /* @__PURE__ */ t( + "button", + { + className: e.choiceButton, + onClick: U, + children: [ + /* @__PURE__ */ a("span", { className: e.choiceKey, children: "B" }), + /* @__PURE__ */ t("span", { className: e.choiceContent, children: [ + /* @__PURE__ */ a("span", { className: e.choiceTitle, children: "Emphasize No Change" }), + /* @__PURE__ */ a("span", { className: e.choiceDesc, children: '"Everything will work exactly the same as before"' }) + ] }) + ] + } + ) + ] }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "rejection-value" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(F), + alt: "Stakeholder rejection", + fallback: _["rejection-value"], + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.rejection, children: [ + /* @__PURE__ */ a("span", { className: e.rejectionBadge, children: "✗ REJECTED" }), + /* @__PURE__ */ a("p", { className: e.quote, children: '"Are you insane? This will break everything!"' }), + /* @__PURE__ */ a("p", { className: e.explanation, children: `"If you want to change the core system, you need to make absolutely sure that everything works exactly the same. We can't risk any disruption."` }) + ] }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: A, children: "▶ Try a Different Approach" }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "rejection-same" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(F), + alt: "Stakeholder rejection", + fallback: _["rejection-same"], + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.rejection, children: [ + /* @__PURE__ */ a("span", { className: e.rejectionBadge, children: "✗ REJECTED" }), + /* @__PURE__ */ a("p", { className: e.quote, children: '"This is insane. Why would we do this?"' }), + /* @__PURE__ */ a("p", { className: e.explanation, children: `"If everything is going to stay exactly the same, why would we spend all this time and money replacing the core system? What's the point?"` }) + ] }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: A, children: "▶ Try a Different Approach" }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "awareness" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.insight), + alt: "Insight moment", + fallback: _.awareness, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.insight, children: [ + /* @__PURE__ */ a("h2", { className: e.insightTitle, children: "★ The Paradox Revealed ★" }), + /* @__PURE__ */ t("p", { className: e.insightText, children: [ + "You've discovered the ", + /* @__PURE__ */ a("strong", { children: "Migration Paradox" }), + ": stakeholders demand that you change things - to give value. But also that nothing changes, to contain risk." + ] }), + /* @__PURE__ */ t("p", { className: e.insightText, children: [ + "The solution is ", + /* @__PURE__ */ a("strong", { children: "phased delivery" }), + ". First, prove business case. Then prove you can preserve existing functionality. Then introduce new capabilities." + ] }), + /* @__PURE__ */ t("div", { className: e.paradoxDiagram, children: [ + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Explore"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }), + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Preserve"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }), + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Innovate"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }) + ] }) + ] }), + /* @__PURE__ */ a("button", { className: e.completeButton, onClick: Y, children: "▶ Complete Challenge" }) + ] }) + ] }), + h === "complete" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.complete), + alt: "Challenge complete", + fallback: _.complete, + onImageError: g + } + ), + /* @__PURE__ */ a("div", { className: e.dialogueBox, children: /* @__PURE__ */ t("div", { className: e.successBox, children: [ + /* @__PURE__ */ a("h2", { className: e.successTitle, children: "★ CHALLENGE COMPLETE ★" }), + /* @__PURE__ */ t("p", { className: e.stats, children: [ + "You experienced ", + Math.floor(l.loopCount), + " loop(s) before seeing the pattern." + ] }), + /* @__PURE__ */ t("div", { className: e.scoreDisplay, children: [ + /* @__PURE__ */ a("span", { className: e.scoreLabel, children: "SCORE" }), + /* @__PURE__ */ a("span", { className: e.scoreValue, children: "100" }) + ] }) + ] }) }) + ] }) + ] }); +} +const Ve = { + name: "migration-paradox", + displayName: "The Migration Paradox", + version: "1.0.0", + paramSchema: { + assetBaseUrl: { + type: "string", + label: "Asset Base URL", + description: "Shared CDN or public folder containing presenting.png, insight.png, complete.png, rejectionA_1.png, rejectionA_2.png, and rejectionB_1.png.", + default: "/glitch/migration-paradox" + } + }, + defaultParams: { + assetBaseUrl: "/glitch/migration-paradox" + } +}; +export { + Oe as default, + Ve as metadata +}; +//# sourceMappingURL=migration-paradox.js.map diff --git a/dist/vendor/glitch/glitch_migration_paradox/migration-paradox.js.map b/dist/vendor/glitch/glitch_migration_paradox/migration-paradox.js.map new file mode 100644 index 0000000..9a7c8da --- /dev/null +++ b/dist/vendor/glitch/glitch_migration_paradox/migration-paradox.js.map @@ -0,0 +1 @@ +{"version":3,"file":"migration-paradox.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useMemo, useState } from 'react';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\ntype Phase = 'intro' | 'choice' | 'rejection-value' | 'rejection-same' | 'awareness' | 'complete';\ntype SceneTone = 'primary' | 'danger' | 'accent' | 'success';\n\ninterface LoopState {\n loopCount: number;\n valueAttempts: number;\n sameAttempts: number;\n}\n\ninterface SceneFallback {\n badge: string;\n title: string;\n copy: string;\n detail: string;\n tone: SceneTone;\n}\n\nconst DEFAULT_ASSET_BASE = '/glitch/migration-paradox';\nconst REJECTION_A_COUNT = 2; // Number of rejectionA_X.png variants (1 to X)\nconst REJECTION_B_COUNT = 1; // Number of rejectionB_X.png variants (1 to X)\nconst SCENE_FALLBACKS: Record<'presenting' | 'rejection-value' | 'rejection-same' | 'awareness' | 'complete', SceneFallback> = {\n presenting: {\n badge: 'Migration Briefing',\n title: 'Stakeholders Await Your Plan',\n copy: 'Frame the migration as progress without triggering fear.',\n detail: 'You need a strategy that creates momentum before the paradox closes in.',\n tone: 'primary'\n },\n 'rejection-value': {\n badge: 'Stakeholder Response',\n title: 'Too Much Change',\n copy: 'Your pitch sounded valuable, but it also sounded dangerous.',\n detail: 'They want new capability only if nothing important feels different.',\n tone: 'danger'\n },\n 'rejection-same': {\n badge: 'Stakeholder Response',\n title: 'Too Little Value',\n copy: 'Your pitch sounded safe, but it also sounded pointless.',\n detail: 'They want risk contained, but they still expect the migration to matter.',\n tone: 'danger'\n },\n awareness: {\n badge: 'Pattern Detected',\n title: 'Expose The Contradiction',\n copy: 'Show how value and continuity need different phases, not one impossible promise.',\n detail: 'Explore, preserve, and then innovate.',\n tone: 'accent'\n },\n complete: {\n badge: 'Challenge Complete',\n title: 'Paradox Resolved',\n copy: 'You reframed the migration into a sequence stakeholders can accept.',\n detail: 'Value and stability can coexist when delivery is phased.',\n tone: 'success'\n }\n};\n\nfunction normalizeAssetBase(candidate: unknown): string {\n if (typeof candidate !== 'string') {\n return DEFAULT_ASSET_BASE;\n }\n\n const trimmed = candidate.trim();\n if (!trimmed) {\n return DEFAULT_ASSET_BASE;\n }\n\n return trimmed.replace(/\\/+$/, '');\n}\n\nfunction buildAssetUrl(base: string, assetName: string): string {\n return `${base}/${assetName}`;\n}\n\nfunction getRandomRejectionImage(choice: 'A' | 'B', assetBase: string): string {\n const count = choice === 'A' ? REJECTION_A_COUNT : REJECTION_B_COUNT;\n const index = Math.floor(Math.random() * count) + 1;\n return buildAssetUrl(assetBase, `rejection${choice}_${index}.png`);\n}\n\nfunction SceneMedia({\n src,\n alt,\n fallback,\n onImageError\n}: {\n src?: string;\n alt: string;\n fallback: SceneFallback;\n onImageError: (src: string) => void;\n}) {\n return (\n
\n {src ? (\n onImageError(src)}\n />\n ) : (\n \n
\n
\n {fallback.badge}\n GLITCH SIM\n
\n
\n

{fallback.copy}

\n

{fallback.title}

\n

{fallback.detail}

\n
\n
\n \n \n \n
\n
\n )}\n
\n );\n}\n\nexport default function MigrationParadox({\n config: _config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const params = _config?.params ?? {};\n const [phase, setPhase] = useState('intro');\n const [loopState, setLoopState] = useState({\n loopCount: 0,\n valueAttempts: 0,\n sameAttempts: 0\n });\n const [showInsight, setShowInsight] = useState(false);\n const [currentRejectionImage, setCurrentRejectionImage] = useState('');\n const [failedImages, setFailedImages] = useState>({});\n\n const assetBase = useMemo(\n () => normalizeAssetBase(params.assetBaseUrl ?? params.imageBaseUrl),\n [params.assetBaseUrl, params.imageBaseUrl]\n );\n\n const images = useMemo(() => ({\n presenting: buildAssetUrl(assetBase, 'presenting.png'),\n insight: buildAssetUrl(assetBase, 'insight.png'),\n complete: buildAssetUrl(assetBase, 'complete.png')\n }), [assetBase]);\n\n const cssVars = {\n '--gc-primary': theme?.primary || '#6366f1',\n '--gc-accent': theme?.accent || '#22d3ee',\n '--gc-bg': theme?.bg || '#0a0a0f',\n '--gc-bg-secondary': theme?.bgSecondary || '#12121a',\n '--gc-text': theme?.text || '#e8e8ec',\n '--gc-text-muted': theme?.textMuted || '#9999a8',\n '--gc-border': theme?.border || '#2a2a3a',\n } as React.CSSProperties;\n\n const totalAttempts = loopState.valueAttempts + loopState.sameAttempts;\n const canSeeInsight = totalAttempts >= 4;\n const getSceneImage = useCallback((src: string) => (\n failedImages[src] ? undefined : src\n ), [failedImages]);\n const handleImageError = useCallback((src: string) => {\n setFailedImages(prev => (\n prev[src] ? prev : { ...prev, [src]: true }\n ));\n }, []);\n\n const handleStart = useCallback(() => {\n setPhase('choice');\n onProgress?.(10);\n }, [onProgress]);\n\n const handleChooseValue = useCallback(() => {\n setCurrentRejectionImage(getRandomRejectionImage('A', assetBase));\n setLoopState(prev => ({\n ...prev,\n valueAttempts: prev.valueAttempts + 1,\n loopCount: prev.loopCount + (prev.sameAttempts > prev.valueAttempts ? 0.5 : 0)\n }));\n setPhase('rejection-value');\n onProgress?.(Math.min(30 + totalAttempts * 10, 80));\n }, [assetBase, totalAttempts, onProgress]);\n\n const handleChooseSame = useCallback(() => {\n setCurrentRejectionImage(getRandomRejectionImage('B', assetBase));\n setLoopState(prev => ({\n ...prev,\n sameAttempts: prev.sameAttempts + 1,\n loopCount: prev.loopCount + (prev.valueAttempts > prev.sameAttempts ? 0.5 : 0)\n }));\n setPhase('rejection-same');\n onProgress?.(Math.min(30 + totalAttempts * 10, 80));\n }, [assetBase, totalAttempts, onProgress]);\n\n const handleTryAgain = useCallback(() => {\n setPhase('choice');\n }, []);\n\n const handleSeeInsight = useCallback(() => {\n setShowInsight(true);\n setPhase('awareness');\n onProgress?.(90);\n }, [onProgress]);\n\n const handleComplete = useCallback(() => {\n setPhase('complete');\n onProgress?.(100);\n onComplete({\n success: true,\n score: 100,\n data: {\n loopsBeforeInsight: Math.floor(loopState.loopCount),\n totalAttempts,\n valueAttempts: loopState.valueAttempts,\n sameAttempts: loopState.sameAttempts\n },\n rewards: {\n paradoxes: [{\n id: 'migration-paradox',\n name: 'The Migration Paradox',\n description: 'Stakeholders simultaneously demand that a migration adds value AND changes nothing.',\n rarity: 'uncommon'\n }]\n }\n });\n }, [onComplete, onProgress, loopState, totalAttempts]);\n\n return (\n
\n {phase === 'intro' && (\n
\n \n
\n

The Migration Paradox

\n

\n You've been tasked with migrating the core system.\n Your stakeholders are waiting for your strategy.\n

\n \n
\n
\n )}\n\n {phase === 'choice' && (\n
\n \n
\n
\n

Choose Your Approach

\n {loopState.loopCount > 0 && (\n \n LOOP {Math.floor(loopState.loopCount) + 1}\n \n )}\n
\n

\n How will you pitch the migration project?\n

\n
\n \n A\n \n Emphasize Change\n \n \"The new system will add value and enable new capabilities\"\n \n \n \n \n B\n \n Emphasize No Change\n \n \"Everything will work exactly the same as before\"\n \n \n \n
\n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'rejection-value' && (\n
\n \n
\n
\n ✗ REJECTED\n

\n \"Are you insane? This will break everything!\"\n

\n

\n \"If you want to change the core system, you need to make absolutely\n sure that everything works exactly the same. We can't risk any disruption.\"\n

\n
\n \n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'rejection-same' && (\n
\n \n
\n
\n ✗ REJECTED\n

\n \"This is insane. Why would we do this?\"\n

\n

\n \"If everything is going to stay exactly the same, why would we spend\n all this time and money replacing the core system? What's the point?\"\n

\n
\n \n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'awareness' && (\n
\n \n
\n
\n

★ The Paradox Revealed ★

\n \n

\n You've discovered the Migration Paradox: stakeholders\n demand that you change things - to give value. But also that nothing changes, to contain risk.\n

\n

\n The solution is phased delivery. First, prove business case. Then \n prove you can preserve existing functionality. Then introduce new\n capabilities.\n

\n
\n
\"Explore\"
\n
→
\n
\"Preserve\"
\n
→
\n
\"Innovate\"
\n
→
\n
\n
\n \n
\n
\n )}\n\n {phase === 'complete' && (\n
\n \n
\n
\n

★ CHALLENGE COMPLETE ★

\n

\n You experienced {Math.floor(loopState.loopCount)} loop(s) before seeing the pattern.\n

\n
\n SCORE\n 100\n
\n
\n
\n
\n )}\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'migration-paradox',\n displayName: 'The Migration Paradox',\n version: '1.0.0',\n paramSchema: {\n assetBaseUrl: {\n type: 'string',\n label: 'Asset Base URL',\n description: 'Shared CDN or public folder containing presenting.png, insight.png, complete.png, rejectionA_1.png, rejectionA_2.png, and rejectionB_1.png.',\n default: '/glitch/migration-paradox'\n }\n },\n defaultParams: {\n assetBaseUrl: '/glitch/migration-paradox'\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult\n} from 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\ No newline at end of file diff --git a/dist/vendor/glitch/glitch_onboarding/glitch.manifest.json b/dist/vendor/glitch/glitch_onboarding/glitch.manifest.json new file mode 100644 index 0000000..7685d65 --- /dev/null +++ b/dist/vendor/glitch/glitch_onboarding/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "onboarding", + "displayName": "Glitch University Onboarding", + "version": "1.0.0", + "folderName": "glitch_onboarding", + "packageName": "@glitch-components/onboarding", + "entry": "dist/onboarding.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "onboarding", + "narrative" + ] +} diff --git a/dist/vendor/glitch/glitch_onboarding/onboarding.js b/dist/vendor/glitch/glitch_onboarding/onboarding.js new file mode 100644 index 0000000..9c3499a --- /dev/null +++ b/dist/vendor/glitch/glitch_onboarding/onboarding.js @@ -0,0 +1,847 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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+var De; +function _r() { + if (De) return Y; + De = 1; + var A = Be, y = Symbol.for("react.element"), m = Symbol.for("react.fragment"), R = Object.prototype.hasOwnProperty, b = A.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner, C = { key: !0, ref: !0, __self: !0, __source: !0 }; + function O(T, d, S) { + var v, j = {}, p = null, I = null; + S !== void 0 && (p = "" + S), d.key !== void 0 && (p = "" + d.key), d.ref !== void 0 && (I = d.ref); + for (v in d) R.call(d, v) && !C.hasOwnProperty(v) && (j[v] = d[v]); + if (T && T.defaultProps) for (v in d = T.defaultProps, d) j[v] === void 0 && (j[v] = d[v]); + return { $$typeof: y, type: T, key: p, ref: I, props: j, _owner: b.current }; + } + return Y.Fragment = m, Y.jsx = O, Y.jsxs = O, Y; +} +var L = {}; +/** + * @license React + * react-jsx-runtime.development.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ +var Fe; +function gr() { + return Fe || (Fe = 1, process.env.NODE_ENV !== "production" && function() { + var A = Be, y = Symbol.for("react.element"), m = Symbol.for("react.portal"), R = Symbol.for("react.fragment"), b = Symbol.for("react.strict_mode"), C = Symbol.for("react.profiler"), O = Symbol.for("react.provider"), T = Symbol.for("react.context"), d = Symbol.for("react.forward_ref"), S = Symbol.for("react.suspense"), v = Symbol.for("react.suspense_list"), j = Symbol.for("react.memo"), p = Symbol.for("react.lazy"), I = Symbol.for("react.offscreen"), B = Symbol.iterator, oe = "@@iterator"; + function se(e) { + if (e === null || typeof e != "object") + return null; + var r = B && e[B] || e[oe]; + return typeof r == "function" ? r : null; + } + var k = A.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED; + function _(e) { + { + for (var r = arguments.length, t = new Array(r > 1 ? r - 1 : 0), i = 1; i < r; i++) + t[i - 1] = arguments[i]; + K("error", e, t); + } + } + function K(e, r, t) { + { + var i = k.ReactDebugCurrentFrame, c = i.getStackAddendum(); + c !== "" && (r += "%s", t = t.concat([c])); + var l = t.map(function(s) { + return String(s); + }); + l.unshift("Warning: " + r), Function.prototype.apply.call(console[e], console, l); + } + } + var E = !1, $ = !1, z = !1, X = !1, $e = !1, ce; + ce = Symbol.for("react.module.reference"); + function Me(e) { + return !!(typeof e == "string" || typeof e == "function" || e === R || e === C || $e || e === b || e === S || e === v || X || e === I || E || $ || z || typeof e == "object" && e !== null && (e.$$typeof === p || e.$$typeof === j || e.$$typeof === O || e.$$typeof === T || e.$$typeof === d || // This needs to include all possible module reference object + // types supported by any Flight configuration anywhere since + // we don't know which Flight build this will end up being used + // with. + e.$$typeof === ce || e.getModuleId !== void 0)); + } + function We(e, r, t) { + var i = e.displayName; + if (i) + return i; + var c = r.displayName || r.name || ""; + return c !== "" ? t + "(" + c + ")" : t; + } + function le(e) { + return e.displayName || "Context"; + } + function w(e) { + if (e == null) + return null; + if (typeof e.tag == "number" && _("Received an unexpected object in getComponentNameFromType(). This is likely a bug in React. Please file an issue."), typeof e == "function") + return e.displayName || e.name || null; + if (typeof e == "string") + return e; + switch (e) { + case R: + return "Fragment"; + case m: + return "Portal"; + case C: + return "Profiler"; + case b: + return "StrictMode"; + case S: + return "Suspense"; + case v: + return "SuspenseList"; + } + if (typeof e == "object") + switch (e.$$typeof) { + case T: + var r = e; + return le(r) + ".Consumer"; + case O: + var t = e; + return le(t._context) + ".Provider"; + case d: + return We(e, e.render, "ForwardRef"); + case j: + var i = e.displayName || null; + return i !== null ? i : w(e.type) || "Memo"; + case p: { + var c = e, l = c._payload, s = c._init; + try { + return w(s(l)); + } catch { + return null; + } + } + } + return null; + } + var N = Object.assign, M = 0, ue, fe, de, ve, _e, ge, he; + function me() { + } + me.__reactDisabledLog = !0; + function Ye() { + { + if (M === 0) { + ue = console.log, fe = console.info, de = console.warn, ve = console.error, _e = console.group, ge = console.groupCollapsed, he = console.groupEnd; + var e = { + configurable: !0, + enumerable: !0, + value: me, + writable: !0 + }; + Object.defineProperties(console, { + info: e, + log: e, + warn: e, + error: e, + group: e, + groupCollapsed: e, + groupEnd: e + }); + } + M++; + } + } + function Le() { + { + if (M--, M === 0) { + var e = { + configurable: !0, + enumerable: !0, + writable: !0 + }; + Object.defineProperties(console, { + log: N({}, e, { + value: ue + }), + info: N({}, e, { + value: fe + }), + warn: N({}, e, { + value: de + }), + error: N({}, e, { + value: ve + }), + group: N({}, e, { + value: _e + }), + groupCollapsed: N({}, e, { + value: ge + }), + groupEnd: N({}, e, { + value: he + }) + }); + } + M < 0 && _("disabledDepth fell below zero. This is a bug in React. Please file an issue."); + } + } + var H = k.ReactCurrentDispatcher, Z; + function U(e, r, t) { + { + if (Z === void 0) + try { + throw Error(); + } catch (c) { + var i = c.stack.trim().match(/\n( *(at )?)/); + Z = i && i[1] || ""; + } + return ` +` + Z + e; + } + } + var Q = !1, V; + { + var Ue = typeof WeakMap == "function" ? WeakMap : Map; + V = new Ue(); + } + function pe(e, r) { + if (!e || Q) + return ""; + { + var t = V.get(e); + if (t !== void 0) + return t; + } + var i; + Q = !0; + var c = Error.prepareStackTrace; + Error.prepareStackTrace = void 0; + var l; + l = H.current, H.current = null, Ye(); + try { + if (r) { + var s = function() { + throw Error(); + }; + if (Object.defineProperty(s.prototype, "props", { + set: function() { + throw Error(); + } + }), typeof Reflect == "object" && Reflect.construct) { + try { + Reflect.construct(s, []); + } catch (h) { + i = h; + } + Reflect.construct(e, [], s); + } else { + try { + s.call(); + } catch (h) { + i = h; + } + e.call(s.prototype); + } + } else { + try { + throw Error(); + } catch (h) { + i = h; + } + e(); + } + } catch (h) { + if (h && i && typeof h.stack == "string") { + for (var o = h.stack.split(` +`), g = i.stack.split(` +`), u = o.length - 1, f = g.length - 1; u >= 1 && f >= 0 && o[u] !== g[f]; ) + f--; + for (; u >= 1 && f >= 0; u--, f--) + if (o[u] !== g[f]) { + if (u !== 1 || f !== 1) + do + if (u--, f--, f < 0 || o[u] !== g[f]) { + var x = ` +` + o[u].replace(" at new ", " at "); + return e.displayName && x.includes("") && (x = x.replace("", e.displayName)), typeof e == "function" && V.set(e, x), x; + } + while (u >= 1 && f >= 0); + break; + } + } + } finally { + Q = !1, H.current = l, Le(), Error.prepareStackTrace = c; + } + var F = e ? e.displayName || e.name : "", P = F ? U(F) : ""; + return typeof e == "function" && V.set(e, P), P; + } + function Ve(e, r, t) { + return pe(e, !1); + } + function Ge(e) { + var r = e.prototype; + return !!(r && r.isReactComponent); + } + function G(e, r, t) { + if (e == null) + return ""; + if (typeof e == "function") + return pe(e, Ge(e)); + if (typeof e == "string") + return U(e); + switch (e) { + case S: + return U("Suspense"); + case v: + return U("SuspenseList"); + } + if (typeof e == "object") + switch (e.$$typeof) { + case d: + return Ve(e.render); + case j: + return G(e.type, r, t); + case p: { + var i = e, c = i._payload, l = i._init; + try { + return G(l(c), r, t); + } catch { + } + } + } + return ""; + } + var W = Object.prototype.hasOwnProperty, xe = {}, je = k.ReactDebugCurrentFrame; + function J(e) { + if (e) { + var r = e._owner, t = G(e.type, e._source, r ? r.type : null); + je.setExtraStackFrame(t); + } else + je.setExtraStackFrame(null); + } + function Je(e, r, t, i, c) { + { + var l = Function.call.bind(W); + for (var s in e) + if (l(e, s)) { + var o = void 0; + try { + if (typeof e[s] != "function") { + var g = Error((i || "React class") + ": " + t + " type `" + s + "` is invalid; it must be a function, usually from the `prop-types` package, but received `" + typeof e[s] + "`.This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`."); + throw g.name = "Invariant Violation", g; + } + o = e[s](r, s, i, t, null, "SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED"); + } catch (u) { + o = u; + } + o && !(o instanceof Error) && (J(c), _("%s: type specification of %s `%s` is invalid; the type checker function must return `null` or an `Error` but returned a %s. 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This value must be coerced to a string before before using it here.", Ke(e)), ye(e); + } + var Te = k.ReactCurrentOwner, Xe = { + key: !0, + ref: !0, + __self: !0, + __source: !0 + }, Ee, Re; + function He(e) { + if (W.call(e, "ref")) { + var r = Object.getOwnPropertyDescriptor(e, "ref").get; + if (r && r.isReactWarning) + return !1; + } + return e.ref !== void 0; + } + function Ze(e) { + if (W.call(e, "key")) { + var r = Object.getOwnPropertyDescriptor(e, "key").get; + if (r && r.isReactWarning) + return !1; + } + return e.key !== void 0; + } + function Qe(e, r) { + typeof e.ref == "string" && Te.current; + } + function er(e, r) { + { + var t = function() { + Ee || (Ee = !0, _("%s: `key` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)", r)); + }; + t.isReactWarning = !0, Object.defineProperty(e, "key", { + get: t, + configurable: !0 + }); + } + } + function rr(e, r) { + { + var t = function() { + Re || (Re = !0, _("%s: `ref` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)", r)); + }; + t.isReactWarning = !0, Object.defineProperty(e, "ref", { + get: t, + configurable: !0 + }); + } + } + var tr = function(e, r, t, i, c, l, s) { + var o = { + // This tag allows us to uniquely identify this as a React Element + $$typeof: y, + // Built-in properties that belong on the element + type: e, + key: r, + ref: t, + props: s, + // Record the component responsible for creating this element. + _owner: l + }; + return o._store = {}, Object.defineProperty(o._store, "validated", { + configurable: !1, + enumerable: !1, + writable: !0, + value: !1 + }), Object.defineProperty(o, "_self", { + configurable: !1, + enumerable: !1, + writable: !1, + value: i + }), Object.defineProperty(o, "_source", { + configurable: !1, + enumerable: !1, + writable: !1, + value: c + }), Object.freeze && (Object.freeze(o.props), Object.freeze(o)), o; + }; + function nr(e, r, t, i, c) { + { + var l, s = {}, o = null, g = null; + t !== void 0 && (be(t), o = "" + t), Ze(r) && (be(r.key), o = "" + r.key), He(r) && (g = r.ref, Qe(r, c)); + for (l in r) + W.call(r, l) && !Xe.hasOwnProperty(l) && (s[l] = r[l]); + if (e && e.defaultProps) { + var u = e.defaultProps; + for (l in u) + s[l] === void 0 && (s[l] = u[l]); + } + if (o || g) { + var f = typeof e == "function" ? e.displayName || e.name || "Unknown" : e; + o && er(s, f), g && rr(s, f); + } + return tr(e, o, g, c, i, Te.current, s); + } + } + var re = k.ReactCurrentOwner, Ce = k.ReactDebugCurrentFrame; + function D(e) { + if (e) { + var r = e._owner, t = G(e.type, e._source, r ? r.type : null); + Ce.setExtraStackFrame(t); + } else + Ce.setExtraStackFrame(null); + } + var te; + te = !1; + function ne(e) { + return typeof e == "object" && e !== null && e.$$typeof === y; + } + function Oe() { + { + if (re.current) { + var e = w(re.current.type); + if (e) + return ` + +Check the render method of \`` + e + "`."; + } + return ""; + } + } + function ar(e) { + return ""; + } + var Se = {}; + function ir(e) { + { + var r = Oe(); + if (!r) { + var t = typeof e == "string" ? e : e.displayName || e.name; + t && (r = ` + +Check the top-level render call using <` + t + ">."); + } + return r; + } + } + function we(e, r) { + { + if (!e._store || e._store.validated || e.key != null) + return; + e._store.validated = !0; + var t = ir(r); + if (Se[t]) + return; + Se[t] = !0; + var i = ""; + e && e._owner && e._owner !== re.current && (i = " It was passed a child from " + w(e._owner.type) + "."), D(e), _('Each child in a list should have a unique "key" prop.%s%s See https://reactjs.org/link/warning-keys for more information.', t, i), D(null); + } + } + function ke(e, r) { + { + if (typeof e != "object") + return; + if (ee(e)) + for (var t = 0; t < e.length; t++) { + var i = e[t]; + ne(i) && we(i, r); + } + else if (ne(e)) + e._store && (e._store.validated = !0); + else if (e) { + var c = se(e); + if (typeof c == "function" && c !== e.entries) + for (var l = c.call(e), s; !(s = l.next()).done; ) + ne(s.value) && we(s.value, r); + } + } + } + function or(e) { + { + var r = e.type; + if (r == null || typeof r == "string") + return; + var t; + if (typeof r == "function") + t = r.propTypes; + else if (typeof r == "object" && (r.$$typeof === d || // Note: Memo only checks outer props here. + // Inner props are checked in the reconciler. + r.$$typeof === j)) + t = r.propTypes; + else + return; + if (t) { + var i = w(r); + Je(t, e.props, "prop", i, e); + } else if (r.PropTypes !== void 0 && !te) { + te = !0; + var c = w(r); + _("Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?", c || "Unknown"); + } + typeof r.getDefaultProps == "function" && !r.getDefaultProps.isReactClassApproved && _("getDefaultProps is only used on classic React.createClass definitions. Use a static property named `defaultProps` instead."); + } + } + function sr(e) { + { + for (var r = Object.keys(e.props), t = 0; t < r.length; t++) { + var i = r[t]; + if (i !== "children" && i !== "key") { + D(e), _("Invalid prop `%s` supplied to `React.Fragment`. React.Fragment can only have `key` and `children` props.", i), D(null); + break; + } + } + e.ref !== null && (D(e), _("Invalid attribute `ref` supplied to `React.Fragment`."), D(null)); + } + } + var Ne = {}; + function Pe(e, r, t, i, c, l) { + { + var s = Me(e); + if (!s) { + var o = ""; + (e === void 0 || typeof e == "object" && e !== null && Object.keys(e).length === 0) && (o += " You likely forgot to export your component from the file it's defined in, or you might have mixed up default and named imports."); + var g = ar(); + g ? o += g : o += Oe(); + var u; + e === null ? u = "null" : ee(e) ? u = "array" : e !== void 0 && e.$$typeof === y ? (u = "<" + (w(e.type) || "Unknown") + " />", o = " Did you accidentally export a JSX literal instead of a component?") : u = typeof e, _("React.jsx: type is invalid -- expected a string (for built-in components) or a class/function (for composite components) but got: %s.%s", u, o); + } + var f = nr(e, r, t, c, l); + if (f == null) + return f; + if (s) { + var x = r.children; + if (x !== void 0) + if (i) + if (ee(x)) { + for (var F = 0; F < x.length; F++) + ke(x[F], e); + Object.freeze && Object.freeze(x); + } else + _("React.jsx: Static children should always be an array. You are likely explicitly calling React.jsxs or React.jsxDEV. Use the Babel transform instead."); + else + ke(x, e); + } + if (W.call(r, "key")) { + var P = w(e), h = Object.keys(r).filter(function(vr) { + return vr !== "key"; + }), ae = h.length > 0 ? "{key: someKey, " + h.join(": ..., ") + ": ...}" : "{key: someKey}"; + if (!Ne[P + ae]) { + var dr = h.length > 0 ? "{" + h.join(": ..., ") + ": ...}" : "{}"; + _(`A props object containing a "key" prop is being spread into JSX: + let props = %s; + <%s {...props} /> +React keys must be passed directly to JSX without using spread: + let props = %s; + <%s key={someKey} {...props} />`, ae, P, dr, P), Ne[P + ae] = !0; + } + } + return e === R ? sr(f) : or(f), f; + } + } + function cr(e, r, t) { + return Pe(e, r, t, !0); + } + function lr(e, r, t) { + return Pe(e, r, t, !1); + } + var ur = lr, fr = cr; + L.Fragment = R, L.jsx = ur, L.jsxs = fr; + }()), L; +} +process.env.NODE_ENV === "production" ? ie.exports = _r() : ie.exports = gr(); +var a = ie.exports; +const hr = "_container_18jex_3", mr = "_grid_18jex_18", pr = "_textBlock_18jex_34", xr = "_mainText_18jex_41", jr = "_delayed_18jex_50", yr = "_sphere_18jex_63", br = "_glitching_18jex_82", Tr = "_voxelOverlay_18jex_113", Er = "_visible_18jex_122", Rr = "_voxel_18jex_113", Cr = "_rebelText_18jex_137", Or = "_enterButton_18jex_146", Sr = "_migrationContent_18jex_168", wr = "_tagline_18jex_175", kr = "_notList_18jex_183", Nr = "_notItem_18jex_190", Pr = "_isText_18jex_212", Ar = "_ruleBox_18jex_221", Ir = "_ruleTitle_18jex_231", Dr = "_ruleContent_18jex_238", Fr = "_continueButton_18jex_244", Br = "_agreementContent_18jex_265", $r = "_agreementTitle_18jex_272", Mr = "_pledgeText_18jex_280", Wr = "_signatureArea_18jex_293", Yr = "_paper_18jex_302", Lr = "_signatureMark_18jex_313", Ur = "_pencil_18jex_339", Vr = "_animating_18jex_346", Gr = "_signButton_18jex_365", Jr = "_navigationContent_18jex_390", qr = "_welcomeText_18jex_397", Kr = "_choiceButtons_18jex_405", zr = "_choiceButton_18jex_405", Xr = "_choiceTitle_18jex_434", Hr = "_choiceDesc_18jex_440", Zr = "_arrow_18jex_445", Qr = "_screenFadeIn_18jex_463", n = { + container: hr, + grid: mr, + textBlock: pr, + mainText: xr, + delayed: jr, + sphere: yr, + glitching: br, + voxelOverlay: Tr, + visible: Er, + voxel: Rr, + rebelText: Cr, + enterButton: Or, + migrationContent: Sr, + tagline: wr, + notList: kr, + notItem: Nr, + isText: Pr, + ruleBox: Ar, + ruleTitle: Ir, + ruleContent: Dr, + continueButton: Fr, + agreementContent: Br, + agreementTitle: $r, + pledgeText: Mr, + signatureArea: Wr, + paper: Yr, + signatureMark: Lr, + pencil: Ur, + animating: Vr, + signButton: Gr, + navigationContent: Jr, + welcomeText: qr, + choiceButtons: Kr, + choiceButton: zr, + choiceTitle: Xr, + choiceDesc: Hr, + arrow: Zr, + screenFadeIn: Qr +}; +function rt({ + onComplete: A, + onProgress: y, + theme: m, + className: R +}) { + const [b, C] = q("disorientation"), [O, T] = q(!1), [d, S] = q(!1), [v, j] = q(!1), p = m ? { + "--gc-primary": m.primary, + "--gc-accent": m.accent, + "--gc-bg": m.bg, + "--gc-bgSecondary": m.bgSecondary, + "--gc-text": m.text, + "--gc-textMuted": m.textMuted, + "--gc-border": m.border + } : {}; + Ae(() => { + const E = { + disorientation: 25, + migration: 50, + agreement: 75, + navigation: 100 + }; + y == null || y(E[b]); + }, [b, y]), Ae(() => { + if (b !== "disorientation") return; + const E = () => { + T(!0), setTimeout(() => T(!1), 150); + }, $ = setTimeout(E, 4e3), z = setInterval(() => { + const X = Math.random() * 3e3 + 3e3; + setTimeout(E, X); + }, 6e3); + return () => { + clearTimeout($), clearInterval(z); + }; + }, [b]); + const I = Ie(() => { + S(!0), setTimeout(() => { + j(!0), setTimeout(() => { + C("navigation"); + }, 1e3); + }, 800); + }, []), B = Ie((E) => { + A({ + success: !0, + data: { + choice: E, + agreedToTerms: !0 + }, + rewards: { + achievements: ["onboarding_complete"], + unlocks: E === "lesson" ? ["tech_tree"] : ["character_builder"] + } + }); + }, [A]), K = { + disorientation: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.textBlock, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.mainText, children: "You are standing on a smooth sphere. It looks continuous. It feels continuous." }), + /* @__PURE__ */ a.jsx("div", { className: n.sphere + (O ? ` ${n.glitching}` : ""), children: /* @__PURE__ */ a.jsx("div", { className: n.voxelOverlay + (O ? ` ${n.visible}` : ""), children: Array.from({ length: 36 }).map((E, $) => /* @__PURE__ */ a.jsx("div", { className: n.voxel, style: { + opacity: Math.random() > 0.5 ? 0.8 : 0 + } }, $)) }) }), + /* @__PURE__ */ a.jsx("p", { className: `${n.mainText} ${n.delayed}`, children: "But what if it isn't?" }), + /* @__PURE__ */ a.jsxs("p", { className: n.rebelText, children: [ + "Most people assume the universe is continuous.", + /* @__PURE__ */ a.jsx("br", {}), + "We're not most people." + ] }), + /* @__PURE__ */ a.jsx( + "button", + { + className: n.enterButton, + onClick: () => C("migration"), + children: "Enter the Glitch" + } + ) + ] }) + ] }), + migration: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.migrationContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.tagline, children: "A migration project for physics. That might fail. Or not." }), + /* @__PURE__ */ a.jsxs("ul", { className: n.notList, children: [ + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not a fringe physics forum." }), + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not an online RPG." }), + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not a lecture series in philosophy, physics and computer science." }) + ] }), + /* @__PURE__ */ a.jsx("p", { className: n.isText, children: "It's all of those things." }), + /* @__PURE__ */ a.jsxs("div", { className: n.ruleBox, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.ruleTitle, children: "RULE 1" }), + /* @__PURE__ */ a.jsxs("div", { className: n.ruleContent, children: [ + "Nothing is obvious. Show it.", + /* @__PURE__ */ a.jsx("br", {}), + "Predictions matter more than opinions." + ] }) + ] }), + /* @__PURE__ */ a.jsx( + "button", + { + className: n.continueButton, + onClick: () => C("agreement"), + children: "Continue →" + } + ) + ] }) + ] }), + agreement: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.agreementContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.agreementTitle, children: "Make your mark and sign here" }), + /* @__PURE__ */ a.jsx("div", { className: n.pledgeText, children: '"I agree to test ideas against reality"' }), + /* @__PURE__ */ a.jsxs("div", { className: n.signatureArea, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.paper, children: /* @__PURE__ */ a.jsx("span", { className: n.signatureMark + (v ? ` ${n.visible}` : ""), children: "✕" }) }), + /* @__PURE__ */ a.jsx("span", { className: n.pencil + (d ? ` ${n.animating}` : ""), children: "✏️" }) + ] }), + !v && /* @__PURE__ */ a.jsx( + "button", + { + className: n.signButton, + onClick: I, + disabled: d, + children: "Sign" + } + ) + ] }) + ] }), + navigation: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.navigationContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.welcomeText, children: "Welcome to the Glitch. What would you like to do?" }), + /* @__PURE__ */ a.jsxs("div", { className: n.choiceButtons, children: [ + /* @__PURE__ */ a.jsxs( + "button", + { + className: n.choiceButton, + onClick: () => B("lesson"), + children: [ + /* @__PURE__ */ a.jsxs("div", { className: n.choiceTitle, children: [ + "Take me to the first lesson ", + /* @__PURE__ */ a.jsx("span", { className: n.arrow, children: "→" }) + ] }), + /* @__PURE__ */ a.jsx("div", { className: n.choiceDesc, children: "Opens the tech tree and begins your journey" }) + ] + } + ), + /* @__PURE__ */ a.jsxs( + "button", + { + className: n.choiceButton, + onClick: () => B("character"), + children: [ + /* @__PURE__ */ a.jsxs("div", { className: n.choiceTitle, children: [ + "Build my character first ", + /* @__PURE__ */ a.jsx("span", { className: n.arrow, children: "→" }) + ] }), + /* @__PURE__ */ a.jsx("div", { className: n.choiceDesc, children: "Customize your presence in the Glitch" }) + ] + } + ) + ] }) + ] }) + ] }) + }; + return /* @__PURE__ */ a.jsx("div", { className: R, children: K[b]() }); +} +const tt = { + name: "onboarding", + version: "1.0.0", + displayName: "Glitch University Onboarding", + description: "Multi-screen onboarding experience introducing users to the Glitch universe", + author: "Glitch.university", + paramSchema: {}, + tags: ["onboarding", "intro", "welcome"] +}; +export { + rt as OnboardingComponent, + rt as default, + tt as metadata +}; +//# sourceMappingURL=onboarding.js.map diff --git a/dist/vendor/glitch/glitch_onboarding/onboarding.js.map b/dist/vendor/glitch/glitch_onboarding/onboarding.js.map new file mode 100644 index 0000000..b9d5e06 --- /dev/null +++ b/dist/vendor/glitch/glitch_onboarding/onboarding.js.map @@ -0,0 +1 @@ +{"version":3,"file":"onboarding.js","sources":["../node_modules/react/cjs/react-jsx-runtime.production.min.js","../node_modules/react/cjs/react-jsx-runtime.development.js","../node_modules/react/jsx-runtime.js","../src/OnboardingComponent.tsx","../src/index.tsx"],"sourcesContent":["/**\n * @license React\n * react-jsx-runtime.production.min.js\n *\n * Copyright (c) Facebook, Inc. and its affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n'use strict';var f=require(\"react\"),k=Symbol.for(\"react.element\"),l=Symbol.for(\"react.fragment\"),m=Object.prototype.hasOwnProperty,n=f.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,p={key:!0,ref:!0,__self:!0,__source:!0};\nfunction q(c,a,g){var b,d={},e=null,h=null;void 0!==g&&(e=\"\"+g);void 0!==a.key&&(e=\"\"+a.key);void 0!==a.ref&&(h=a.ref);for(b in a)m.call(a,b)&&!p.hasOwnProperty(b)&&(d[b]=a[b]);if(c&&c.defaultProps)for(b in a=c.defaultProps,a)void 0===d[b]&&(d[b]=a[b]);return{$$typeof:k,type:c,key:e,ref:h,props:d,_owner:n.current}}exports.Fragment=l;exports.jsx=q;exports.jsxs=q;\n","/**\n * @license React\n * react-jsx-runtime.development.js\n *\n * Copyright (c) Facebook, Inc. and its affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n'use strict';\n\nif (process.env.NODE_ENV !== \"production\") {\n (function() {\n'use strict';\n\nvar React = require('react');\n\n// ATTENTION\n// When adding new symbols to this file,\n// Please consider also adding to 'react-devtools-shared/src/backend/ReactSymbols'\n// The Symbol used to tag the ReactElement-like types.\nvar REACT_ELEMENT_TYPE = Symbol.for('react.element');\nvar REACT_PORTAL_TYPE = Symbol.for('react.portal');\nvar REACT_FRAGMENT_TYPE = Symbol.for('react.fragment');\nvar REACT_STRICT_MODE_TYPE = Symbol.for('react.strict_mode');\nvar REACT_PROFILER_TYPE = Symbol.for('react.profiler');\nvar REACT_PROVIDER_TYPE = Symbol.for('react.provider');\nvar REACT_CONTEXT_TYPE = Symbol.for('react.context');\nvar REACT_FORWARD_REF_TYPE = Symbol.for('react.forward_ref');\nvar REACT_SUSPENSE_TYPE = Symbol.for('react.suspense');\nvar REACT_SUSPENSE_LIST_TYPE = Symbol.for('react.suspense_list');\nvar REACT_MEMO_TYPE = Symbol.for('react.memo');\nvar REACT_LAZY_TYPE = Symbol.for('react.lazy');\nvar REACT_OFFSCREEN_TYPE = Symbol.for('react.offscreen');\nvar MAYBE_ITERATOR_SYMBOL = Symbol.iterator;\nvar FAUX_ITERATOR_SYMBOL = '@@iterator';\nfunction getIteratorFn(maybeIterable) {\n if (maybeIterable === null || typeof maybeIterable !== 'object') {\n return null;\n }\n\n var maybeIterator = MAYBE_ITERATOR_SYMBOL && maybeIterable[MAYBE_ITERATOR_SYMBOL] || maybeIterable[FAUX_ITERATOR_SYMBOL];\n\n if (typeof maybeIterator === 'function') {\n return maybeIterator;\n }\n\n return null;\n}\n\nvar ReactSharedInternals = React.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;\n\nfunction error(format) {\n {\n {\n for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {\n args[_key2 - 1] = arguments[_key2];\n }\n\n printWarning('error', format, args);\n }\n }\n}\n\nfunction printWarning(level, format, args) {\n // When changing this logic, you might want to also\n // update consoleWithStackDev.www.js as well.\n {\n var ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame;\n var stack = ReactDebugCurrentFrame.getStackAddendum();\n\n if (stack !== '') {\n format += '%s';\n args = args.concat([stack]);\n } // eslint-disable-next-line react-internal/safe-string-coercion\n\n\n var argsWithFormat = args.map(function (item) {\n return String(item);\n }); // Careful: RN currently depends on this prefix\n\n argsWithFormat.unshift('Warning: ' + format); // We intentionally don't use spread (or .apply) directly because it\n // breaks IE9: https://github.com/facebook/react/issues/13610\n // eslint-disable-next-line react-internal/no-production-logging\n\n Function.prototype.apply.call(console[level], console, argsWithFormat);\n }\n}\n\n// -----------------------------------------------------------------------------\n\nvar enableScopeAPI = false; // Experimental Create Event Handle API.\nvar enableCacheElement = false;\nvar enableTransitionTracing = false; // No known bugs, but needs performance testing\n\nvar enableLegacyHidden = false; // Enables unstable_avoidThisFallback feature in Fiber\n// stuff. Intended to enable React core members to more easily debug scheduling\n// issues in DEV builds.\n\nvar enableDebugTracing = false; // Track which Fiber(s) schedule render work.\n\nvar REACT_MODULE_REFERENCE;\n\n{\n REACT_MODULE_REFERENCE = Symbol.for('react.module.reference');\n}\n\nfunction isValidElementType(type) {\n if (typeof type === 'string' || typeof type === 'function') {\n return true;\n } // Note: typeof might be other than 'symbol' or 'number' (e.g. if it's a polyfill).\n\n\n if (type === REACT_FRAGMENT_TYPE || type === REACT_PROFILER_TYPE || enableDebugTracing || type === REACT_STRICT_MODE_TYPE || type === REACT_SUSPENSE_TYPE || type === REACT_SUSPENSE_LIST_TYPE || enableLegacyHidden || type === REACT_OFFSCREEN_TYPE || enableScopeAPI || enableCacheElement || enableTransitionTracing ) {\n return true;\n }\n\n if (typeof type === 'object' && type !== null) {\n if (type.$$typeof === REACT_LAZY_TYPE || type.$$typeof === REACT_MEMO_TYPE || type.$$typeof === REACT_PROVIDER_TYPE || type.$$typeof === REACT_CONTEXT_TYPE || type.$$typeof === REACT_FORWARD_REF_TYPE || // This needs to include all possible module reference object\n // types supported by any Flight configuration anywhere since\n // we don't know which Flight build this will end up being used\n // with.\n type.$$typeof === REACT_MODULE_REFERENCE || type.getModuleId !== undefined) {\n return true;\n }\n }\n\n return false;\n}\n\nfunction getWrappedName(outerType, innerType, wrapperName) {\n var displayName = outerType.displayName;\n\n if (displayName) {\n return displayName;\n }\n\n var functionName = innerType.displayName || innerType.name || '';\n return functionName !== '' ? wrapperName + \"(\" + functionName + \")\" : wrapperName;\n} // Keep in sync with react-reconciler/getComponentNameFromFiber\n\n\nfunction getContextName(type) {\n return type.displayName || 'Context';\n} // Note that the reconciler package should generally prefer to use getComponentNameFromFiber() instead.\n\n\nfunction getComponentNameFromType(type) {\n if (type == null) {\n // Host root, text node or just invalid type.\n return null;\n }\n\n {\n if (typeof type.tag === 'number') {\n error('Received an unexpected object in getComponentNameFromType(). ' + 'This is likely a bug in React. Please file an issue.');\n }\n }\n\n if (typeof type === 'function') {\n return type.displayName || type.name || null;\n }\n\n if (typeof type === 'string') {\n return type;\n }\n\n switch (type) {\n case REACT_FRAGMENT_TYPE:\n return 'Fragment';\n\n case REACT_PORTAL_TYPE:\n return 'Portal';\n\n case REACT_PROFILER_TYPE:\n return 'Profiler';\n\n case REACT_STRICT_MODE_TYPE:\n return 'StrictMode';\n\n case REACT_SUSPENSE_TYPE:\n return 'Suspense';\n\n case REACT_SUSPENSE_LIST_TYPE:\n return 'SuspenseList';\n\n }\n\n if (typeof type === 'object') {\n switch (type.$$typeof) {\n case REACT_CONTEXT_TYPE:\n var context = type;\n return getContextName(context) + '.Consumer';\n\n case REACT_PROVIDER_TYPE:\n var provider = type;\n return getContextName(provider._context) + '.Provider';\n\n case REACT_FORWARD_REF_TYPE:\n return getWrappedName(type, type.render, 'ForwardRef');\n\n case REACT_MEMO_TYPE:\n var outerName = type.displayName || null;\n\n if (outerName !== null) {\n return outerName;\n }\n\n return getComponentNameFromType(type.type) || 'Memo';\n\n case REACT_LAZY_TYPE:\n {\n var lazyComponent = type;\n var payload = lazyComponent._payload;\n var init = lazyComponent._init;\n\n try {\n return getComponentNameFromType(init(payload));\n } catch (x) {\n return null;\n }\n }\n\n // eslint-disable-next-line no-fallthrough\n }\n }\n\n return null;\n}\n\nvar assign = Object.assign;\n\n// Helpers to patch console.logs to avoid logging during side-effect free\n// replaying on render function. This currently only patches the object\n// lazily which won't cover if the log function was extracted eagerly.\n// We could also eagerly patch the method.\nvar disabledDepth = 0;\nvar prevLog;\nvar prevInfo;\nvar prevWarn;\nvar prevError;\nvar prevGroup;\nvar prevGroupCollapsed;\nvar prevGroupEnd;\n\nfunction disabledLog() {}\n\ndisabledLog.__reactDisabledLog = true;\nfunction disableLogs() {\n {\n if (disabledDepth === 0) {\n /* eslint-disable react-internal/no-production-logging */\n prevLog = console.log;\n prevInfo = console.info;\n prevWarn = console.warn;\n prevError = console.error;\n prevGroup = console.group;\n prevGroupCollapsed = console.groupCollapsed;\n prevGroupEnd = console.groupEnd; // https://github.com/facebook/react/issues/19099\n\n var props = {\n configurable: true,\n enumerable: true,\n value: disabledLog,\n writable: true\n }; // $FlowFixMe Flow thinks console is immutable.\n\n Object.defineProperties(console, {\n info: props,\n log: props,\n warn: props,\n error: props,\n group: props,\n groupCollapsed: props,\n groupEnd: props\n });\n /* eslint-enable react-internal/no-production-logging */\n }\n\n disabledDepth++;\n }\n}\nfunction reenableLogs() {\n {\n disabledDepth--;\n\n if (disabledDepth === 0) {\n /* eslint-disable react-internal/no-production-logging */\n var props = {\n configurable: true,\n enumerable: true,\n writable: true\n }; // $FlowFixMe Flow thinks console is immutable.\n\n Object.defineProperties(console, {\n log: assign({}, props, {\n value: prevLog\n }),\n info: assign({}, props, {\n value: prevInfo\n }),\n warn: assign({}, props, {\n value: prevWarn\n }),\n error: assign({}, props, {\n value: prevError\n }),\n group: assign({}, props, {\n value: prevGroup\n }),\n groupCollapsed: assign({}, props, {\n value: prevGroupCollapsed\n }),\n groupEnd: assign({}, props, {\n value: prevGroupEnd\n })\n });\n /* eslint-enable react-internal/no-production-logging */\n }\n\n if (disabledDepth < 0) {\n error('disabledDepth fell below zero. ' + 'This is a bug in React. Please file an issue.');\n }\n }\n}\n\nvar ReactCurrentDispatcher = ReactSharedInternals.ReactCurrentDispatcher;\nvar prefix;\nfunction describeBuiltInComponentFrame(name, source, ownerFn) {\n {\n if (prefix === undefined) {\n // Extract the VM specific prefix used by each line.\n try {\n throw Error();\n } catch (x) {\n var match = x.stack.trim().match(/\\n( *(at )?)/);\n prefix = match && match[1] || '';\n }\n } // We use the prefix to ensure our stacks line up with native stack frames.\n\n\n return '\\n' + prefix + name;\n }\n}\nvar reentry = false;\nvar componentFrameCache;\n\n{\n var PossiblyWeakMap = typeof WeakMap === 'function' ? WeakMap : Map;\n componentFrameCache = new PossiblyWeakMap();\n}\n\nfunction describeNativeComponentFrame(fn, construct) {\n // If something asked for a stack inside a fake render, it should get ignored.\n if ( !fn || reentry) {\n return '';\n }\n\n {\n var frame = componentFrameCache.get(fn);\n\n if (frame !== undefined) {\n return frame;\n }\n }\n\n var control;\n reentry = true;\n var previousPrepareStackTrace = Error.prepareStackTrace; // $FlowFixMe It does accept undefined.\n\n Error.prepareStackTrace = undefined;\n var previousDispatcher;\n\n {\n previousDispatcher = ReactCurrentDispatcher.current; // Set the dispatcher in DEV because this might be call in the render function\n // for warnings.\n\n ReactCurrentDispatcher.current = null;\n disableLogs();\n }\n\n try {\n // This should throw.\n if (construct) {\n // Something should be setting the props in the constructor.\n var Fake = function () {\n throw Error();\n }; // $FlowFixMe\n\n\n Object.defineProperty(Fake.prototype, 'props', {\n set: function () {\n // We use a throwing setter instead of frozen or non-writable props\n // because that won't throw in a non-strict mode function.\n throw Error();\n }\n });\n\n if (typeof Reflect === 'object' && Reflect.construct) {\n // We construct a different control for this case to include any extra\n // frames added by the construct call.\n try {\n Reflect.construct(Fake, []);\n } catch (x) {\n control = x;\n }\n\n Reflect.construct(fn, [], Fake);\n } else {\n try {\n Fake.call();\n } catch (x) {\n control = x;\n }\n\n fn.call(Fake.prototype);\n }\n } else {\n try {\n throw Error();\n } catch (x) {\n control = x;\n }\n\n fn();\n }\n } catch (sample) {\n // This is inlined manually because closure doesn't do it for us.\n if (sample && control && typeof sample.stack === 'string') {\n // This extracts the first frame from the sample that isn't also in the control.\n // Skipping one frame that we assume is the frame that calls the two.\n var sampleLines = sample.stack.split('\\n');\n var controlLines = control.stack.split('\\n');\n var s = sampleLines.length - 1;\n var c = controlLines.length - 1;\n\n while (s >= 1 && c >= 0 && sampleLines[s] !== controlLines[c]) {\n // We expect at least one stack frame to be shared.\n // Typically this will be the root most one. However, stack frames may be\n // cut off due to maximum stack limits. In this case, one maybe cut off\n // earlier than the other. We assume that the sample is longer or the same\n // and there for cut off earlier. So we should find the root most frame in\n // the sample somewhere in the control.\n c--;\n }\n\n for (; s >= 1 && c >= 0; s--, c--) {\n // Next we find the first one that isn't the same which should be the\n // frame that called our sample function and the control.\n if (sampleLines[s] !== controlLines[c]) {\n // In V8, the first line is describing the message but other VMs don't.\n // If we're about to return the first line, and the control is also on the same\n // line, that's a pretty good indicator that our sample threw at same line as\n // the control. I.e. before we entered the sample frame. So we ignore this result.\n // This can happen if you passed a class to function component, or non-function.\n if (s !== 1 || c !== 1) {\n do {\n s--;\n c--; // We may still have similar intermediate frames from the construct call.\n // The next one that isn't the same should be our match though.\n\n if (c < 0 || sampleLines[s] !== controlLines[c]) {\n // V8 adds a \"new\" prefix for native classes. Let's remove it to make it prettier.\n var _frame = '\\n' + sampleLines[s].replace(' at new ', ' at '); // If our component frame is labeled \"\"\n // but we have a user-provided \"displayName\"\n // splice it in to make the stack more readable.\n\n\n if (fn.displayName && _frame.includes('')) {\n _frame = _frame.replace('', fn.displayName);\n }\n\n {\n if (typeof fn === 'function') {\n componentFrameCache.set(fn, _frame);\n }\n } // Return the line we found.\n\n\n return _frame;\n }\n } while (s >= 1 && c >= 0);\n }\n\n break;\n }\n }\n }\n } finally {\n reentry = false;\n\n {\n ReactCurrentDispatcher.current = previousDispatcher;\n reenableLogs();\n }\n\n Error.prepareStackTrace = previousPrepareStackTrace;\n } // Fallback to just using the name if we couldn't make it throw.\n\n\n var name = fn ? fn.displayName || fn.name : '';\n var syntheticFrame = name ? describeBuiltInComponentFrame(name) : '';\n\n {\n if (typeof fn === 'function') {\n componentFrameCache.set(fn, syntheticFrame);\n }\n }\n\n return syntheticFrame;\n}\nfunction describeFunctionComponentFrame(fn, source, ownerFn) {\n {\n return describeNativeComponentFrame(fn, false);\n }\n}\n\nfunction shouldConstruct(Component) {\n var prototype = Component.prototype;\n return !!(prototype && prototype.isReactComponent);\n}\n\nfunction describeUnknownElementTypeFrameInDEV(type, source, ownerFn) {\n\n if (type == null) {\n return '';\n }\n\n if (typeof type === 'function') {\n {\n return describeNativeComponentFrame(type, shouldConstruct(type));\n }\n }\n\n if (typeof type === 'string') {\n return describeBuiltInComponentFrame(type);\n }\n\n switch (type) {\n case REACT_SUSPENSE_TYPE:\n return describeBuiltInComponentFrame('Suspense');\n\n case REACT_SUSPENSE_LIST_TYPE:\n return describeBuiltInComponentFrame('SuspenseList');\n }\n\n if (typeof type === 'object') {\n switch (type.$$typeof) {\n case REACT_FORWARD_REF_TYPE:\n return describeFunctionComponentFrame(type.render);\n\n case REACT_MEMO_TYPE:\n // Memo may contain any component type so we recursively resolve it.\n return describeUnknownElementTypeFrameInDEV(type.type, source, ownerFn);\n\n case REACT_LAZY_TYPE:\n {\n var lazyComponent = type;\n var payload = lazyComponent._payload;\n var init = lazyComponent._init;\n\n try {\n // Lazy may contain any component type so we recursively resolve it.\n return describeUnknownElementTypeFrameInDEV(init(payload), source, ownerFn);\n } catch (x) {}\n }\n }\n }\n\n return '';\n}\n\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\n\nvar loggedTypeFailures = {};\nvar ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame;\n\nfunction setCurrentlyValidatingElement(element) {\n {\n if (element) {\n var owner = element._owner;\n var stack = describeUnknownElementTypeFrameInDEV(element.type, element._source, owner ? owner.type : null);\n ReactDebugCurrentFrame.setExtraStackFrame(stack);\n } else {\n ReactDebugCurrentFrame.setExtraStackFrame(null);\n }\n }\n}\n\nfunction checkPropTypes(typeSpecs, values, location, componentName, element) {\n {\n // $FlowFixMe This is okay but Flow doesn't know it.\n var has = Function.call.bind(hasOwnProperty);\n\n for (var typeSpecName in typeSpecs) {\n if (has(typeSpecs, typeSpecName)) {\n var error$1 = void 0; // Prop type validation may throw. In case they do, we don't want to\n // fail the render phase where it didn't fail before. So we log it.\n // After these have been cleaned up, we'll let them throw.\n\n try {\n // This is intentionally an invariant that gets caught. It's the same\n // behavior as without this statement except with a better message.\n if (typeof typeSpecs[typeSpecName] !== 'function') {\n // eslint-disable-next-line react-internal/prod-error-codes\n var err = Error((componentName || 'React class') + ': ' + location + ' type `' + typeSpecName + '` is invalid; ' + 'it must be a function, usually from the `prop-types` package, but received `' + typeof typeSpecs[typeSpecName] + '`.' + 'This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`.');\n err.name = 'Invariant Violation';\n throw err;\n }\n\n error$1 = typeSpecs[typeSpecName](values, typeSpecName, componentName, location, null, 'SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED');\n } catch (ex) {\n error$1 = ex;\n }\n\n if (error$1 && !(error$1 instanceof Error)) {\n setCurrentlyValidatingElement(element);\n\n error('%s: type specification of %s' + ' `%s` is invalid; the type checker ' + 'function must return `null` or an `Error` but returned a %s. ' + 'You may have forgotten to pass an argument to the type checker ' + 'creator (arrayOf, instanceOf, objectOf, oneOf, oneOfType, and ' + 'shape all require an argument).', componentName || 'React class', location, typeSpecName, typeof error$1);\n\n setCurrentlyValidatingElement(null);\n }\n\n if (error$1 instanceof Error && !(error$1.message in loggedTypeFailures)) {\n // Only monitor this failure once because there tends to be a lot of the\n // same error.\n loggedTypeFailures[error$1.message] = true;\n setCurrentlyValidatingElement(element);\n\n error('Failed %s type: %s', location, error$1.message);\n\n setCurrentlyValidatingElement(null);\n }\n }\n }\n }\n}\n\nvar isArrayImpl = Array.isArray; // eslint-disable-next-line no-redeclare\n\nfunction isArray(a) {\n return isArrayImpl(a);\n}\n\n/*\n * The `'' + value` pattern (used in in perf-sensitive code) throws for Symbol\n * and Temporal.* types. See https://github.com/facebook/react/pull/22064.\n *\n * The functions in this module will throw an easier-to-understand,\n * easier-to-debug exception with a clear errors message message explaining the\n * problem. (Instead of a confusing exception thrown inside the implementation\n * of the `value` object).\n */\n// $FlowFixMe only called in DEV, so void return is not possible.\nfunction typeName(value) {\n {\n // toStringTag is needed for namespaced types like Temporal.Instant\n var hasToStringTag = typeof Symbol === 'function' && Symbol.toStringTag;\n var type = hasToStringTag && value[Symbol.toStringTag] || value.constructor.name || 'Object';\n return type;\n }\n} // $FlowFixMe only called in DEV, so void return is not possible.\n\n\nfunction willCoercionThrow(value) {\n {\n try {\n testStringCoercion(value);\n return false;\n } catch (e) {\n return true;\n }\n }\n}\n\nfunction testStringCoercion(value) {\n // If you ended up here by following an exception call stack, here's what's\n // happened: you supplied an object or symbol value to React (as a prop, key,\n // DOM attribute, CSS property, string ref, etc.) and when React tried to\n // coerce it to a string using `'' + value`, an exception was thrown.\n //\n // The most common types that will cause this exception are `Symbol` instances\n // and Temporal objects like `Temporal.Instant`. But any object that has a\n // `valueOf` or `[Symbol.toPrimitive]` method that throws will also cause this\n // exception. (Library authors do this to prevent users from using built-in\n // numeric operators like `+` or comparison operators like `>=` because custom\n // methods are needed to perform accurate arithmetic or comparison.)\n //\n // To fix the problem, coerce this object or symbol value to a string before\n // passing it to React. The most reliable way is usually `String(value)`.\n //\n // To find which value is throwing, check the browser or debugger console.\n // Before this exception was thrown, there should be `console.error` output\n // that shows the type (Symbol, Temporal.PlainDate, etc.) that caused the\n // problem and how that type was used: key, atrribute, input value prop, etc.\n // In most cases, this console output also shows the component and its\n // ancestor components where the exception happened.\n //\n // eslint-disable-next-line react-internal/safe-string-coercion\n return '' + value;\n}\nfunction checkKeyStringCoercion(value) {\n {\n if (willCoercionThrow(value)) {\n error('The provided key is an unsupported type %s.' + ' This value must be coerced to a string before before using it here.', typeName(value));\n\n return testStringCoercion(value); // throw (to help callers find troubleshooting comments)\n }\n }\n}\n\nvar ReactCurrentOwner = ReactSharedInternals.ReactCurrentOwner;\nvar RESERVED_PROPS = {\n key: true,\n ref: true,\n __self: true,\n __source: true\n};\nvar specialPropKeyWarningShown;\nvar specialPropRefWarningShown;\nvar didWarnAboutStringRefs;\n\n{\n didWarnAboutStringRefs = {};\n}\n\nfunction hasValidRef(config) {\n {\n if (hasOwnProperty.call(config, 'ref')) {\n var getter = Object.getOwnPropertyDescriptor(config, 'ref').get;\n\n if (getter && getter.isReactWarning) {\n return false;\n }\n }\n }\n\n return config.ref !== undefined;\n}\n\nfunction hasValidKey(config) {\n {\n if (hasOwnProperty.call(config, 'key')) {\n var getter = Object.getOwnPropertyDescriptor(config, 'key').get;\n\n if (getter && getter.isReactWarning) {\n return false;\n }\n }\n }\n\n return config.key !== undefined;\n}\n\nfunction warnIfStringRefCannotBeAutoConverted(config, self) {\n {\n if (typeof config.ref === 'string' && ReactCurrentOwner.current && self && ReactCurrentOwner.current.stateNode !== self) {\n var componentName = getComponentNameFromType(ReactCurrentOwner.current.type);\n\n if (!didWarnAboutStringRefs[componentName]) {\n error('Component \"%s\" contains the string ref \"%s\". ' + 'Support for string refs will be removed in a future major release. ' + 'This case cannot be automatically converted to an arrow function. ' + 'We ask you to manually fix this case by using useRef() or createRef() instead. ' + 'Learn more about using refs safely here: ' + 'https://reactjs.org/link/strict-mode-string-ref', getComponentNameFromType(ReactCurrentOwner.current.type), config.ref);\n\n didWarnAboutStringRefs[componentName] = true;\n }\n }\n }\n}\n\nfunction defineKeyPropWarningGetter(props, displayName) {\n {\n var warnAboutAccessingKey = function () {\n if (!specialPropKeyWarningShown) {\n specialPropKeyWarningShown = true;\n\n error('%s: `key` is not a prop. Trying to access it will result ' + 'in `undefined` being returned. If you need to access the same ' + 'value within the child component, you should pass it as a different ' + 'prop. (https://reactjs.org/link/special-props)', displayName);\n }\n };\n\n warnAboutAccessingKey.isReactWarning = true;\n Object.defineProperty(props, 'key', {\n get: warnAboutAccessingKey,\n configurable: true\n });\n }\n}\n\nfunction defineRefPropWarningGetter(props, displayName) {\n {\n var warnAboutAccessingRef = function () {\n if (!specialPropRefWarningShown) {\n specialPropRefWarningShown = true;\n\n error('%s: `ref` is not a prop. Trying to access it will result ' + 'in `undefined` being returned. If you need to access the same ' + 'value within the child component, you should pass it as a different ' + 'prop. (https://reactjs.org/link/special-props)', displayName);\n }\n };\n\n warnAboutAccessingRef.isReactWarning = true;\n Object.defineProperty(props, 'ref', {\n get: warnAboutAccessingRef,\n configurable: true\n });\n }\n}\n/**\n * Factory method to create a new React element. This no longer adheres to\n * the class pattern, so do not use new to call it. Also, instanceof check\n * will not work. Instead test $$typeof field against Symbol.for('react.element') to check\n * if something is a React Element.\n *\n * @param {*} type\n * @param {*} props\n * @param {*} key\n * @param {string|object} ref\n * @param {*} owner\n * @param {*} self A *temporary* helper to detect places where `this` is\n * different from the `owner` when React.createElement is called, so that we\n * can warn. We want to get rid of owner and replace string `ref`s with arrow\n * functions, and as long as `this` and owner are the same, there will be no\n * change in behavior.\n * @param {*} source An annotation object (added by a transpiler or otherwise)\n * indicating filename, line number, and/or other information.\n * @internal\n */\n\n\nvar ReactElement = function (type, key, ref, self, source, owner, props) {\n var element = {\n // This tag allows us to uniquely identify this as a React Element\n $$typeof: REACT_ELEMENT_TYPE,\n // Built-in properties that belong on the element\n type: type,\n key: key,\n ref: ref,\n props: props,\n // Record the component responsible for creating this element.\n _owner: owner\n };\n\n {\n // The validation flag is currently mutative. We put it on\n // an external backing store so that we can freeze the whole object.\n // This can be replaced with a WeakMap once they are implemented in\n // commonly used development environments.\n element._store = {}; // To make comparing ReactElements easier for testing purposes, we make\n // the validation flag non-enumerable (where possible, which should\n // include every environment we run tests in), so the test framework\n // ignores it.\n\n Object.defineProperty(element._store, 'validated', {\n configurable: false,\n enumerable: false,\n writable: true,\n value: false\n }); // self and source are DEV only properties.\n\n Object.defineProperty(element, '_self', {\n configurable: false,\n enumerable: false,\n writable: false,\n value: self\n }); // Two elements created in two different places should be considered\n // equal for testing purposes and therefore we hide it from enumeration.\n\n Object.defineProperty(element, '_source', {\n configurable: false,\n enumerable: false,\n writable: false,\n value: source\n });\n\n if (Object.freeze) {\n Object.freeze(element.props);\n Object.freeze(element);\n }\n }\n\n return element;\n};\n/**\n * https://github.com/reactjs/rfcs/pull/107\n * @param {*} type\n * @param {object} props\n * @param {string} key\n */\n\nfunction jsxDEV(type, config, maybeKey, source, self) {\n {\n var propName; // Reserved names are extracted\n\n var props = {};\n var key = null;\n var ref = null; // Currently, key can be spread in as a prop. This causes a potential\n // issue if key is also explicitly declared (ie.
\n // or
). We want to deprecate key spread,\n // but as an intermediary step, we will use jsxDEV for everything except\n //
, because we aren't currently able to tell if\n // key is explicitly declared to be undefined or not.\n\n if (maybeKey !== undefined) {\n {\n checkKeyStringCoercion(maybeKey);\n }\n\n key = '' + maybeKey;\n }\n\n if (hasValidKey(config)) {\n {\n checkKeyStringCoercion(config.key);\n }\n\n key = '' + config.key;\n }\n\n if (hasValidRef(config)) {\n ref = config.ref;\n warnIfStringRefCannotBeAutoConverted(config, self);\n } // Remaining properties are added to a new props object\n\n\n for (propName in config) {\n if (hasOwnProperty.call(config, propName) && !RESERVED_PROPS.hasOwnProperty(propName)) {\n props[propName] = config[propName];\n }\n } // Resolve default props\n\n\n if (type && type.defaultProps) {\n var defaultProps = type.defaultProps;\n\n for (propName in defaultProps) {\n if (props[propName] === undefined) {\n props[propName] = defaultProps[propName];\n }\n }\n }\n\n if (key || ref) {\n var displayName = typeof type === 'function' ? type.displayName || type.name || 'Unknown' : type;\n\n if (key) {\n defineKeyPropWarningGetter(props, displayName);\n }\n\n if (ref) {\n defineRefPropWarningGetter(props, displayName);\n }\n }\n\n return ReactElement(type, key, ref, self, source, ReactCurrentOwner.current, props);\n }\n}\n\nvar ReactCurrentOwner$1 = ReactSharedInternals.ReactCurrentOwner;\nvar ReactDebugCurrentFrame$1 = ReactSharedInternals.ReactDebugCurrentFrame;\n\nfunction setCurrentlyValidatingElement$1(element) {\n {\n if (element) {\n var owner = element._owner;\n var stack = describeUnknownElementTypeFrameInDEV(element.type, element._source, owner ? owner.type : null);\n ReactDebugCurrentFrame$1.setExtraStackFrame(stack);\n } else {\n ReactDebugCurrentFrame$1.setExtraStackFrame(null);\n }\n }\n}\n\nvar propTypesMisspellWarningShown;\n\n{\n propTypesMisspellWarningShown = false;\n}\n/**\n * Verifies the object is a ReactElement.\n * See https://reactjs.org/docs/react-api.html#isvalidelement\n * @param {?object} object\n * @return {boolean} True if `object` is a ReactElement.\n * @final\n */\n\n\nfunction isValidElement(object) {\n {\n return typeof object === 'object' && object !== null && object.$$typeof === REACT_ELEMENT_TYPE;\n }\n}\n\nfunction getDeclarationErrorAddendum() {\n {\n if (ReactCurrentOwner$1.current) {\n var name = getComponentNameFromType(ReactCurrentOwner$1.current.type);\n\n if (name) {\n return '\\n\\nCheck the render method of `' + name + '`.';\n }\n }\n\n return '';\n }\n}\n\nfunction getSourceInfoErrorAddendum(source) {\n {\n if (source !== undefined) {\n var fileName = source.fileName.replace(/^.*[\\\\\\/]/, '');\n var lineNumber = source.lineNumber;\n return '\\n\\nCheck your code at ' + fileName + ':' + lineNumber + '.';\n }\n\n return '';\n }\n}\n/**\n * Warn if there's no key explicitly set on dynamic arrays of children or\n * object keys are not valid. This allows us to keep track of children between\n * updates.\n */\n\n\nvar ownerHasKeyUseWarning = {};\n\nfunction getCurrentComponentErrorInfo(parentType) {\n {\n var info = getDeclarationErrorAddendum();\n\n if (!info) {\n var parentName = typeof parentType === 'string' ? parentType : parentType.displayName || parentType.name;\n\n if (parentName) {\n info = \"\\n\\nCheck the top-level render call using <\" + parentName + \">.\";\n }\n }\n\n return info;\n }\n}\n/**\n * Warn if the element doesn't have an explicit key assigned to it.\n * This element is in an array. The array could grow and shrink or be\n * reordered. All children that haven't already been validated are required to\n * have a \"key\" property assigned to it. Error statuses are cached so a warning\n * will only be shown once.\n *\n * @internal\n * @param {ReactElement} element Element that requires a key.\n * @param {*} parentType element's parent's type.\n */\n\n\nfunction validateExplicitKey(element, parentType) {\n {\n if (!element._store || element._store.validated || element.key != null) {\n return;\n }\n\n element._store.validated = true;\n var currentComponentErrorInfo = getCurrentComponentErrorInfo(parentType);\n\n if (ownerHasKeyUseWarning[currentComponentErrorInfo]) {\n return;\n }\n\n ownerHasKeyUseWarning[currentComponentErrorInfo] = true; // Usually the current owner is the offender, but if it accepts children as a\n // property, it may be the creator of the child that's responsible for\n // assigning it a key.\n\n var childOwner = '';\n\n if (element && element._owner && element._owner !== ReactCurrentOwner$1.current) {\n // Give the component that originally created this child.\n childOwner = \" It was passed a child from \" + getComponentNameFromType(element._owner.type) + \".\";\n }\n\n setCurrentlyValidatingElement$1(element);\n\n error('Each child in a list should have a unique \"key\" prop.' + '%s%s See https://reactjs.org/link/warning-keys for more information.', currentComponentErrorInfo, childOwner);\n\n setCurrentlyValidatingElement$1(null);\n }\n}\n/**\n * Ensure that every element either is passed in a static location, in an\n * array with an explicit keys property defined, or in an object literal\n * with valid key property.\n *\n * @internal\n * @param {ReactNode} node Statically passed child of any type.\n * @param {*} parentType node's parent's type.\n */\n\n\nfunction validateChildKeys(node, parentType) {\n {\n if (typeof node !== 'object') {\n return;\n }\n\n if (isArray(node)) {\n for (var i = 0; i < node.length; i++) {\n var child = node[i];\n\n if (isValidElement(child)) {\n validateExplicitKey(child, parentType);\n }\n }\n } else if (isValidElement(node)) {\n // This element was passed in a valid location.\n if (node._store) {\n node._store.validated = true;\n }\n } else if (node) {\n var iteratorFn = getIteratorFn(node);\n\n if (typeof iteratorFn === 'function') {\n // Entry iterators used to provide implicit keys,\n // but now we print a separate warning for them later.\n if (iteratorFn !== node.entries) {\n var iterator = iteratorFn.call(node);\n var step;\n\n while (!(step = iterator.next()).done) {\n if (isValidElement(step.value)) {\n validateExplicitKey(step.value, parentType);\n }\n }\n }\n }\n }\n }\n}\n/**\n * Given an element, validate that its props follow the propTypes definition,\n * provided by the type.\n *\n * @param {ReactElement} element\n */\n\n\nfunction validatePropTypes(element) {\n {\n var type = element.type;\n\n if (type === null || type === undefined || typeof type === 'string') {\n return;\n }\n\n var propTypes;\n\n if (typeof type === 'function') {\n propTypes = type.propTypes;\n } else if (typeof type === 'object' && (type.$$typeof === REACT_FORWARD_REF_TYPE || // Note: Memo only checks outer props here.\n // Inner props are checked in the reconciler.\n type.$$typeof === REACT_MEMO_TYPE)) {\n propTypes = type.propTypes;\n } else {\n return;\n }\n\n if (propTypes) {\n // Intentionally inside to avoid triggering lazy initializers:\n var name = getComponentNameFromType(type);\n checkPropTypes(propTypes, element.props, 'prop', name, element);\n } else if (type.PropTypes !== undefined && !propTypesMisspellWarningShown) {\n propTypesMisspellWarningShown = true; // Intentionally inside to avoid triggering lazy initializers:\n\n var _name = getComponentNameFromType(type);\n\n error('Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?', _name || 'Unknown');\n }\n\n if (typeof type.getDefaultProps === 'function' && !type.getDefaultProps.isReactClassApproved) {\n error('getDefaultProps is only used on classic React.createClass ' + 'definitions. Use a static property named `defaultProps` instead.');\n }\n }\n}\n/**\n * Given a fragment, validate that it can only be provided with fragment props\n * @param {ReactElement} fragment\n */\n\n\nfunction validateFragmentProps(fragment) {\n {\n var keys = Object.keys(fragment.props);\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i];\n\n if (key !== 'children' && key !== 'key') {\n setCurrentlyValidatingElement$1(fragment);\n\n error('Invalid prop `%s` supplied to `React.Fragment`. ' + 'React.Fragment can only have `key` and `children` props.', key);\n\n setCurrentlyValidatingElement$1(null);\n break;\n }\n }\n\n if (fragment.ref !== null) {\n setCurrentlyValidatingElement$1(fragment);\n\n error('Invalid attribute `ref` supplied to `React.Fragment`.');\n\n setCurrentlyValidatingElement$1(null);\n }\n }\n}\n\nvar didWarnAboutKeySpread = {};\nfunction jsxWithValidation(type, props, key, isStaticChildren, source, self) {\n {\n var validType = isValidElementType(type); // We warn in this case but don't throw. We expect the element creation to\n // succeed and there will likely be errors in render.\n\n if (!validType) {\n var info = '';\n\n if (type === undefined || typeof type === 'object' && type !== null && Object.keys(type).length === 0) {\n info += ' You likely forgot to export your component from the file ' + \"it's defined in, or you might have mixed up default and named imports.\";\n }\n\n var sourceInfo = getSourceInfoErrorAddendum(source);\n\n if (sourceInfo) {\n info += sourceInfo;\n } else {\n info += getDeclarationErrorAddendum();\n }\n\n var typeString;\n\n if (type === null) {\n typeString = 'null';\n } else if (isArray(type)) {\n typeString = 'array';\n } else if (type !== undefined && type.$$typeof === REACT_ELEMENT_TYPE) {\n typeString = \"<\" + (getComponentNameFromType(type.type) || 'Unknown') + \" />\";\n info = ' Did you accidentally export a JSX literal instead of a component?';\n } else {\n typeString = typeof type;\n }\n\n error('React.jsx: type is invalid -- expected a string (for ' + 'built-in components) or a class/function (for composite ' + 'components) but got: %s.%s', typeString, info);\n }\n\n var element = jsxDEV(type, props, key, source, self); // The result can be nullish if a mock or a custom function is used.\n // TODO: Drop this when these are no longer allowed as the type argument.\n\n if (element == null) {\n return element;\n } // Skip key warning if the type isn't valid since our key validation logic\n // doesn't expect a non-string/function type and can throw confusing errors.\n // We don't want exception behavior to differ between dev and prod.\n // (Rendering will throw with a helpful message and as soon as the type is\n // fixed, the key warnings will appear.)\n\n\n if (validType) {\n var children = props.children;\n\n if (children !== undefined) {\n if (isStaticChildren) {\n if (isArray(children)) {\n for (var i = 0; i < children.length; i++) {\n validateChildKeys(children[i], type);\n }\n\n if (Object.freeze) {\n Object.freeze(children);\n }\n } else {\n error('React.jsx: Static children should always be an array. ' + 'You are likely explicitly calling React.jsxs or React.jsxDEV. ' + 'Use the Babel transform instead.');\n }\n } else {\n validateChildKeys(children, type);\n }\n }\n }\n\n {\n if (hasOwnProperty.call(props, 'key')) {\n var componentName = getComponentNameFromType(type);\n var keys = Object.keys(props).filter(function (k) {\n return k !== 'key';\n });\n var beforeExample = keys.length > 0 ? '{key: someKey, ' + keys.join(': ..., ') + ': ...}' : '{key: someKey}';\n\n if (!didWarnAboutKeySpread[componentName + beforeExample]) {\n var afterExample = keys.length > 0 ? '{' + keys.join(': ..., ') + ': ...}' : '{}';\n\n error('A props object containing a \"key\" prop is being spread into JSX:\\n' + ' let props = %s;\\n' + ' <%s {...props} />\\n' + 'React keys must be passed directly to JSX without using spread:\\n' + ' let props = %s;\\n' + ' <%s key={someKey} {...props} />', beforeExample, componentName, afterExample, componentName);\n\n didWarnAboutKeySpread[componentName + beforeExample] = true;\n }\n }\n }\n\n if (type === REACT_FRAGMENT_TYPE) {\n validateFragmentProps(element);\n } else {\n validatePropTypes(element);\n }\n\n return element;\n }\n} // These two functions exist to still get child warnings in dev\n// even with the prod transform. This means that jsxDEV is purely\n// opt-in behavior for better messages but that we won't stop\n// giving you warnings if you use production apis.\n\nfunction jsxWithValidationStatic(type, props, key) {\n {\n return jsxWithValidation(type, props, key, true);\n }\n}\nfunction jsxWithValidationDynamic(type, props, key) {\n {\n return jsxWithValidation(type, props, key, false);\n }\n}\n\nvar jsx = jsxWithValidationDynamic ; // we may want to special case jsxs internally to take advantage of static children.\n// for now we can ship identical prod functions\n\nvar jsxs = jsxWithValidationStatic ;\n\nexports.Fragment = REACT_FRAGMENT_TYPE;\nexports.jsx = jsx;\nexports.jsxs = jsxs;\n })();\n}\n","'use strict';\n\nif (process.env.NODE_ENV === 'production') {\n module.exports = require('./cjs/react-jsx-runtime.production.min.js');\n} else {\n module.exports = require('./cjs/react-jsx-runtime.development.js');\n}\n","import { useState, useEffect, useCallback } from 'react'\nimport type { GlitchComponentProps, OnboardingScreen } from './types'\nimport styles from './styles.module.css'\n\nexport function OnboardingComponent({\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const [currentScreen, setCurrentScreen] = useState('disorientation')\n const [sphereGlitching, setSphereGlitching] = useState(false)\n const [signatureAnimating, setSignatureAnimating] = useState(false)\n const [hasAgreed, setHasAgreed] = useState(false)\n\n // Apply theme as CSS variables\n const themeStyle = theme ? {\n '--gc-primary': theme.primary,\n '--gc-accent': theme.accent,\n '--gc-bg': theme.bg,\n '--gc-bgSecondary': theme.bgSecondary,\n '--gc-text': theme.text,\n '--gc-textMuted': theme.textMuted,\n '--gc-border': theme.border,\n } as React.CSSProperties : {}\n\n // Progress tracking\n useEffect(() => {\n const progressMap: Record = {\n disorientation: 25,\n migration: 50,\n agreement: 75,\n navigation: 100\n }\n onProgress?.(progressMap[currentScreen])\n }, [currentScreen, onProgress])\n\n // Sphere glitch effect on Screen 1\n useEffect(() => {\n if (currentScreen !== 'disorientation') return\n\n const triggerGlitch = () => {\n setSphereGlitching(true)\n setTimeout(() => setSphereGlitching(false), 150)\n }\n\n // First glitch after 4 seconds\n const initialTimeout = setTimeout(triggerGlitch, 4000)\n\n // Random glitches every 3-6 seconds\n const interval = setInterval(() => {\n const delay = Math.random() * 3000 + 3000\n setTimeout(triggerGlitch, delay)\n }, 6000)\n\n return () => {\n clearTimeout(initialTimeout)\n clearInterval(interval)\n }\n }, [currentScreen])\n\n const handleSign = useCallback(() => {\n setSignatureAnimating(true)\n setTimeout(() => {\n setHasAgreed(true)\n setTimeout(() => {\n setCurrentScreen('navigation')\n }, 1000)\n }, 800)\n }, [])\n\n const handleComplete = useCallback((choice: 'lesson' | 'character') => {\n onComplete({\n success: true,\n data: {\n choice,\n agreedToTerms: true\n },\n rewards: {\n achievements: ['onboarding_complete'],\n unlocks: choice === 'lesson' ? ['tech_tree'] : ['character_builder']\n }\n })\n }, [onComplete])\n\n // Screen 1: The Disorientation\n const renderDisorientation = () => (\n
\n
\n\n
\n

\n You are standing on a smooth sphere. It looks continuous. It feels continuous.\n

\n\n
\n
\n {Array.from({ length: 36 }).map((_, i) => (\n
0.5 ? 0.8 : 0\n }} />\n ))}\n
\n
\n\n

\n But what if it isn't?\n

\n\n

\n Most people assume the universe is continuous.
\n We're not most people.\n

\n\n setCurrentScreen('migration')}\n >\n Enter the Glitch\n \n
\n
\n )\n\n // Screen 2: Migration Description\n const renderMigration = () => (\n
\n
\n\n
\n

\n A migration project for physics. That might fail. Or not.\n

\n\n
    \n
  • This is not a fringe physics forum.
    • \n
  • This is not an online RPG.
    • \n
  • This is not a lecture series in philosophy, physics and computer science.
    • \n
\n\n

\n It's all of those things.\n

\n\n
\n
RULE 1
\n
\n Nothing is obvious. Show it.
\n Predictions matter more than opinions.\n
\n
\n\n setCurrentScreen('agreement')}\n >\n Continue →\n \n
\n
\n )\n\n // Screen 3: Agreement\n const renderAgreement = () => (\n
\n
\n\n
\n

\n Make your mark and sign here\n

\n\n
\n \"I agree to test ideas against reality\"\n
\n\n
\n
\n \n ✕\n \n
\n \n ✏️\n \n
\n\n {!hasAgreed && (\n \n Sign\n \n )}\n
\n
\n )\n\n // Screen 4: Navigation\n const renderNavigation = () => (\n
\n
\n\n
\n

\n Welcome to the Glitch. What would you like to do?\n

\n\n
\n handleComplete('lesson')}\n >\n
\n Take me to the first lesson →\n
\n
\n Opens the tech tree and begins your journey\n
\n \n\n handleComplete('character')}\n >\n
\n Build my character first →\n
\n
\n Customize your presence in the Glitch\n
\n \n
\n
\n
\n )\n\n // Render current screen\n const screenRenderers: Record JSX.Element> = {\n disorientation: renderDisorientation,\n migration: renderMigration,\n agreement: renderAgreement,\n navigation: renderNavigation\n }\n\n return (\n
\n {screenRenderers[currentScreen]()}\n
\n )\n}\n","import { OnboardingComponent } from './OnboardingComponent'\nimport type { GlitchComponentProps, GlitchComponentResult } from './types'\n\nexport { OnboardingComponent }\nexport type { GlitchComponentProps, GlitchComponentResult }\n\nexport const metadata = {\n name: 'onboarding',\n version: '1.0.0',\n displayName: 'Glitch University Onboarding',\n description: 'Multi-screen onboarding experience introducing users to the Glitch universe',\n author: 'Glitch.university',\n paramSchema: {},\n tags: ['onboarding', 'intro', 'welcome']\n}\n\nexport default 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\ No newline at end of file diff --git a/dist/vendor/glitch/glitch_onboarding2/glitch.manifest.json b/dist/vendor/glitch/glitch_onboarding2/glitch.manifest.json new file mode 100644 index 0000000..bbcbe10 --- /dev/null +++ b/dist/vendor/glitch/glitch_onboarding2/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "onboarding2", + "displayName": "Facility Slideshow", + "version": "1.0.0", + "folderName": "glitch_onboarding2", + "packageName": "@glitch-components/onboarding2", + "entry": "dist/onboarding2.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "onboarding", + "slideshow" + ] +} diff --git a/dist/vendor/glitch/glitch_onboarding2/onboarding2.js b/dist/vendor/glitch/glitch_onboarding2/onboarding2.js new file mode 100644 index 0000000..d254f0b --- /dev/null +++ b/dist/vendor/glitch/glitch_onboarding2/onboarding2.js @@ -0,0 +1,212 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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This is not for everyone." + }, + { + title: "How This Works", + lines: [ + "Watch a short module", + "Pass the glitch gate", + "Unlock the next tech", + "That's it. 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"Restart" : "Next" + } + ) + ] }) + ] }) + ] + } + ) }); +} +const se = { + name: "onboarding2", + displayName: "Facility Slideshow", + version: "1.0.0", + paramSchema: {}, + defaultParams: {} +}; +export { + ae as default, + se as metadata +}; +//# sourceMappingURL=onboarding2.js.map diff --git a/dist/vendor/glitch/glitch_onboarding2/onboarding2.js.map b/dist/vendor/glitch/glitch_onboarding2/onboarding2.js.map new file mode 100644 index 0000000..e9f29bc --- /dev/null +++ b/dist/vendor/glitch/glitch_onboarding2/onboarding2.js.map @@ -0,0 +1 @@ +{"version":3,"file":"onboarding2.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useEffect, useMemo, useRef, useState } from 'react'\nimport type { CSSProperties, TouchEvent } from 'react'\nimport type { GlitchComponentProps, SlideData } from './types'\nimport styles from './styles.module.css'\n\nconst SWIPE_THRESHOLD = 40\n\nconst SLIDES: SlideData[] = [\n {\n title: 'The Premise',\n lines: [\n 'This facility tests foundational assumptions.',\n '',\n 'Not interpretations.',\n 'Assumptions.'\n ]\n },\n {\n title: 'The method',\n lines: [\n 'This is math and philosophy.',\n 'Make assumption.',\n \"Pretend it's true.\",\n 'Where does that lead?'\n ]\n },\n {\n title: 'The law',\n lines: [\n 'We make predictions.',\n 'If they fail, the idea fails.'\n ]\n },\n {\n title: 'The way',\n lines: ['You will:'],\n bullets: [\n 'Pass challenges',\n 'Collect paradoxes',\n 'Examine anomalies',\n 'Learn to think sharply'\n ]\n },\n {\n title: 'Warning',\n lines: ['You may feel:'],\n bullets: [\n 'This is not a game!',\n 'Temporary confusion',\n 'The urge to defend existing physics!'\n ],\n bulletStyle: 'warning',\n after: 'Good. This is not for everyone.'\n },\n {\n title: 'How This Works',\n lines: [\n 'Watch a short module',\n 'Pass the glitch gate',\n 'Unlock the next tech',\n \"That's it. 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j(d) { + const r = [], n = d, f = 2 / n; + for (let u = 0; u < n; u++) + for (let m = 0; m < n; m++) + for (let o = 0; o < n; o++) { + const g = -1 + f * (u + 0.5), i = -1 + f * (m + 0.5), x = -1 + f * (o + 0.5), p = Math.sqrt(g * g + i * i + x * x), $ = f * 1.2; + p <= 1 && p > 1 - $ && r.push(g, i, x); + } + return { positions: r, count: r.length / 3 }; +} +function Te({ resolution: d, isInfinity: r }) { + const s = F(null), n = q(() => new te.Object3D(), []), { positions: f, count: u, cubeSize: m } = q(() => { + const i = Math.min(d, y), x = j(i), p = 2 / i * 0.85; + return { + positions: x.positions, + count: x.count, + cubeSize: p + }; + }, [d]); + z(() => { + if (!(!s.current || u === 0)) { + for (let i = 0; i < u; i++) + n.position.set( + f[i * 3], + f[i * 3 + 1], + f[i * 3 + 2] + ), n.scale.setScalar(m), n.updateMatrix(), s.current.setMatrixAt(i, n.matrix); + s.current.instanceMatrix.needsUpdate = !0, s.current.count = u; + } + }, [f, u, m, n]), Q((i) => { + s.current && 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"#ef4444" : "#818cf8"; + return /* @__PURE__ */ a("instancedMesh", { ref: s, args: [void 0, void 0, 1e4], frustumCulled: !1, children: [ + /* @__PURE__ */ e("boxGeometry", { args: [1, 1, 1] }), + /* @__PURE__ */ e( + "meshStandardMaterial", + { + color: o, + emissive: o, + emissiveIntensity: 0.05, + roughness: 0.4, + metalness: 0.3 + } + ) + ] }); +} +function k({ resolution: d, isInfinity: r }) { + return /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("ambientLight", { intensity: 0.3 }), + /* @__PURE__ */ e("directionalLight", { position: [5, 8, 5], intensity: 1.2, castShadow: !0 }), + /* @__PURE__ */ e("directionalLight", { position: [-3, -2, -4], intensity: 0.4, color: "#22d3ee" }), + /* @__PURE__ */ e("pointLight", { position: [0, 5, 0], intensity: 0.5 }), + /* @__PURE__ */ e(Te, { resolution: d, isInfinity: r }), + /* @__PURE__ */ e( + W, + { + enableZoom: !0, + enablePan: !1, + autoRotate: !1, + minDistance: 2, + maxDistance: 6 + } + ) + ] }); +} +function De() { + const d = F(null); + return Q((r) => { + d.current && (d.current.rotation.y = r.clock.elapsedTime * 0.3); + }), /* @__PURE__ */ a("mesh", { ref: d, children: [ + /* @__PURE__ */ e("sphereGeometry", { args: [1, 128, 128] }), + /* @__PURE__ */ e( + "meshStandardMaterial", + { + color: "#22d3ee", + emissive: "#22d3ee", + emissiveIntensity: 0.08, + roughness: 0.15, + metalness: 0.9, + envMapIntensity: 1 + } + ) + ] }); +} +function Ee() { + return /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("ambientLight", { intensity: 0.3 }), + /* @__PURE__ */ e("directionalLight", { position: [5, 8, 5], intensity: 1.5 }), + /* @__PURE__ */ e("directionalLight", { position: [-4, -2, -3], intensity: 0.5, color: "#6366f1" }), + /* @__PURE__ */ e("pointLight", { position: [0, 3, 3], intensity: 0.8, color: "#ffffff" }), + /* @__PURE__ */ e(De, {}), + /* @__PURE__ */ e( + W, + { + enableZoom: !1, + enablePan: !1, + autoRotate: !0, + autoRotateSpeed: 1.5 + } + ) + ] }); +} +function Pe({ + config: d, + onComplete: r, + onProgress: s, + theme: n, + className: f +}) { + const [u, m] = N("exploring"), [o, g] = N(A), [i, x] = N(null), [p, $] = N(!1), H = F(null), [v, K] = N({ + stacked: !1, + panelSize: 320, + gap: 16, + padding: 16 + }), M = o >= y, O = q(() => j(Math.min(o, y)).count, [o]); + z(() => { + const c = H.current; + if (!c || typeof ResizeObserver > "u") + return; + const l = () => { + const { width: h, height: S } = c.getBoundingClientRect(); + if (!h || !S) + return; + const C = S > h, E = Math.min(h, S), w = Math.round(Math.max(12, Math.min(28, E * 0.04))), B = Math.round(Math.max(12, Math.min(22, E * 0.03))), X = C ? h - w * 2 : (h - w * 2 - B) / 2, ee = C ? (S - w * 2 - B) / 2 : S - w * 2; + K({ + stacked: C, + panelSize: Math.max(0, Math.floor(Math.min(X, ee))), + gap: B, + padding: w + }); + }; + l(); + const b = new ResizeObserver(l); + return b.observe(c), () => b.disconnect(); + }, []); + const P = { + "--gc-primary": (n == null ? void 0 : n.primary) || "#6366f1", + "--gc-accent": (n == null ? void 0 : n.accent) || "#22d3ee", + "--gc-bg": (n == null ? void 0 : n.bg) || "#0a0a0f", + "--gc-bg-secondary": (n == null ? void 0 : n.bgSecondary) || "#12121a", + "--gc-text": (n == null ? void 0 : n.text) || "#e8e8ec", + "--gc-text-muted": (n == null ? void 0 : n.textMuted) || "#9999a8", + "--gc-border": (n == null ? void 0 : n.border) || "#2a2a3a", + "--panel-gap": `${v.gap}px`, + "--frame-pad": `${v.padding}px` + }, T = { + width: `${v.panelSize}px`, + height: `${v.panelSize}px` + }; + z(() => { + s == null || s(10); + }, [s]); + const G = V((c) => { + const l = Oe(parseInt(c.target.value, 10)); + g(l); + const b = 10 + l / y * 40; + s == null || s(Math.min(b, 50)), l >= y && !p && (m("warning"), $(!0), s == null || s(70)); + }, [p, s, y]), D = V((c) => { + x(c), m("result"), s == null || s(100); + }, [s]), Z = V(() => { + r({ + success: !0, + score: 100, + data: { + choice: i, + finalResolution: o, + exploredInfinity: p, + completedAt: (/* @__PURE__ */ new Date()).toISOString() + } + }); + }, [i, o, p, r]), U = (c) => c >= y ? "∞" : c.toString(), Y = (c, l) => l ? "∞" : c.toLocaleString(), J = (c, l) => { + if (l) + return "∞"; + const h = c * 80; + return h < 1024 ? `${h} B` : h < 1024 * 1024 ? `${(h / 1024).toFixed(1)} KB` : `${(h / (1024 * 1024)).toFixed(2)} MB`; + }, R = (c, l) => /* @__PURE__ */ a("div", { className: `${t.squarePanel} ${t.viewportPanel}`, style: T, children: [ + c, + /* @__PURE__ */ a("div", { className: t.statsOverlay, children: [ + /* @__PURE__ */ a("div", { className: t.stat, children: [ + /* @__PURE__ */ e("span", { className: t.statLabel, children: "Blocks" }), + /* @__PURE__ */ e("span", { className: `${t.statValue} ${l ? t.statInfinity : ""}`, children: Y(O, l) }) + ] }), + /* @__PURE__ */ a("div", { className: t.stat, children: [ + /* @__PURE__ */ e("span", { className: t.statLabel, children: "Memory" }), + /* @__PURE__ */ e("span", { className: `${t.statValue} ${l ? t.statInfinity : ""}`, children: J(O, l) }) + ] }) + ] }) + ] }), L = (c) => /* @__PURE__ */ e("div", { className: `${t.squarePanel} ${t.contentPanel}`, style: T, children: /* @__PURE__ */ e("div", { className: t.panelBody, children: c }) }); + return /* @__PURE__ */ e("div", { className: `${t.container} ${f || ""}`, style: P, children: /* @__PURE__ */ e("div", { ref: H, className: t.frame, children: /* @__PURE__ */ a( + "div", + { + className: t.squareLayout, + style: { flexDirection: v.stacked ? "column" : "row" }, + children: [ + u === "exploring" && /* @__PURE__ */ a(_, { children: [ + R( + /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: M }) }), + M + ), + L( + /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: "Resolution" }), + /* @__PURE__ */ e("p", { className: `${t.copy} ${t.muted}`, children: "Every step adds more cubes to the shell. Keep sliding until the approximation breaks open." }), + /* @__PURE__ */ a("div", { className: t.sliderSection, children: [ + /* @__PURE__ */ a("div", { className: t.sliderHeader, children: [ + /* @__PURE__ */ e("span", { className: t.sliderLabel, children: "Current Level" }), + /* @__PURE__ */ e("span", { className: `${t.sliderValue} ${M ? t.valueInfinity : ""}`, children: U(o) }) + ] }), + /* @__PURE__ */ e( + "input", + { + type: "range", + min: A, + max: y, + step: "2", + value: o, + onChange: G, + className: `${t.slider} ${M ? t.sliderInfinity : ""}` + } + ), + /* @__PURE__ */ e("div", { className: t.sliderHint, children: "Drag right to approach a perfectly smooth sphere." }) + ] }) + ] }) + ) + ] }), + u === "warning" && /* @__PURE__ */ a(_, { children: [ + R( + /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: !0 }) }), + !0 + ), + L( + /* @__PURE__ */ a("div", { className: t.warning, children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: "Limit Reached" }), + /* @__PURE__ */ e("p", { className: t.warningText, children: "At infinite resolution, the sphere needs infinitely many blocks." }), + /* @__PURE__ */ e("p", { className: t.warningText, children: "Infinitely many blocks means infinite information and unbounded memory." }), + /* @__PURE__ */ e("p", { className: t.warningQuestion, children: "Do you want the perfect sphere anyway?" }), + /* @__PURE__ */ a("div", { className: t.warningChoices, children: [ + /* @__PURE__ */ e( + "button", + { + className: `${t.choiceButton} ${t.choiceInfinity}`, + onClick: () => D("infinity"), + children: "Embrace Infinity" + } + ), + /* @__PURE__ */ e( + "button", + { + className: `${t.choiceButton} ${t.choiceFinite}`, + onClick: () => D("finite"), + children: "Keep It Finite" + } + ) + ] }) + ] }) + ) + ] }), + u === "result" && /* @__PURE__ */ a(_, { children: [ + R( + i === "infinity" ? /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3], fov: 50 }, children: /* @__PURE__ */ e(Ee, {}) }) : /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: !1 }) }), + i === "infinity" + ), + L( + /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: i === "finite" ? "Finite Wins" : "Infinity Chosen" }), + /* @__PURE__ */ a("div", { className: t.resultStats, children: [ + /* @__PURE__ */ a("div", { className: t.resultRow, children: [ + /* @__PURE__ */ e("span", { children: "Memory Required" }), + /* @__PURE__ */ e("span", { className: i === "finite" ? t.resultSuccess : t.resultAccent, children: i === "finite" ? "Finite" : "∞" }) + ] }), + /* @__PURE__ */ a("div", { className: t.resultRow, children: [ + /* @__PURE__ */ e("span", { children: "Simulation Possible" }), + /* @__PURE__ */ e("span", { className: i === "finite" ? t.resultSuccess : t.resultAccent, children: i === "finite" ? "Yes" : "Only in theory" }) + ] }) + ] }), + /* @__PURE__ */ e("p", { className: t.resultMessage, children: i === "finite" ? /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("strong", { children: "Discreteness can be enough." }), + " A finite model never becomes perfect, but it can get close enough to feel continuous." + ] }) : /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("strong", { children: "Perfect smoothness costs infinity." }), + " A mathematically exact sphere cannot be simulated without infinite information." + ] }) }), + /* @__PURE__ */ e("button", { className: t.completeButton, onClick: Z, children: "Complete Challenge" }) + ] }) + ) + ] }) + ] + } + ) }) }); +} +const Ge = { + name: "sphere-paradox", + displayName: "Create a Perfect Sphere", + version: "1.0.0", + paramSchema: {}, + defaultParams: {} +}; +export { + Pe as default, + Ge as metadata +}; +//# sourceMappingURL=sphere-paradox.js.map diff --git a/dist/vendor/glitch/glitch_sphere_paradox/sphere-paradox.js.map b/dist/vendor/glitch/glitch_sphere_paradox/sphere-paradox.js.map new file mode 100644 index 0000000..159cadb --- /dev/null +++ b/dist/vendor/glitch/glitch_sphere_paradox/sphere-paradox.js.map @@ -0,0 +1 @@ +{"version":3,"file":"sphere-paradox.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import {\n useCallback,\n useMemo,\n useState,\n useRef,\n useEffect,\n type CSSProperties,\n type ChangeEvent,\n type ReactNode\n} from 'react';\nimport { Canvas, useFrame } from '@react-three/fiber';\nimport { OrbitControls } from '@react-three/drei';\nimport * as THREE from 'three';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\ninterface VoxelSphereProps {\n resolution: number;\n isInfinity: boolean;\n}\n\nconst minResolution = 5;\nconst maxResolution = 41;\n\nfunction normalizeOddResolution(value: number): number {\n const clamped = Math.min(Math.max(value, minResolution), maxResolution);\n return clamped % 2 === 0 ? clamped + 1 : clamped;\n}\n\n// Generate voxel positions for a solid sphere (filled, not just shell)\nfunction generateVoxelSphere(resolution: number): { positions: number[], count: number } {\n const positions: number[] = [];\n const radius = 1.0;\n\n // Number of voxels along each axis\n const gridSize = resolution;\n const voxelSize = 2 / gridSize;\n\n for (let ix = 0; ix < gridSize; ix++) {\n for (let iy = 0; iy < gridSize; iy++) {\n for (let iz = 0; iz < gridSize; iz++) {\n // Center of this voxel\n const x = -1 + voxelSize * (ix + 0.5);\n const y = -1 + voxelSize * (iy + 0.5);\n const z = -1 + voxelSize * (iz + 0.5);\n\n const dist = Math.sqrt(x * x + y * y + z * z);\n\n // Include voxels on the surface (shell)\n // Shell thickness scales with voxel size\n const shellThickness = voxelSize * 1.2;\n if (dist <= radius && dist > radius - shellThickness) {\n positions.push(x, y, z);\n }\n }\n }\n }\n\n return { positions, count: positions.length / 3 };\n}\n\nfunction VoxelSphere({ resolution, isInfinity }: VoxelSphereProps) {\n const meshRef = useRef(null);\n const dummy = useMemo(() => new THREE.Object3D(), []);\n\n // Generate voxel data\n const { positions, count, cubeSize } = useMemo(() => {\n const effectiveRes = Math.min(resolution, maxResolution);\n const data = generateVoxelSphere(effectiveRes);\n const size = (2 / effectiveRes) * 0.85; // Slightly smaller to show gaps\n return {\n positions: data.positions,\n count: data.count,\n cubeSize: size\n };\n }, [resolution]);\n\n // Update instance matrices when positions change\n useEffect(() => {\n if (!meshRef.current || count === 0) return;\n\n for (let i = 0; i < count; i++) {\n dummy.position.set(\n positions[i * 3],\n positions[i * 3 + 1],\n positions[i * 3 + 2]\n );\n dummy.scale.setScalar(cubeSize);\n dummy.updateMatrix();\n meshRef.current.setMatrixAt(i, dummy.matrix);\n }\n meshRef.current.instanceMatrix.needsUpdate = true;\n meshRef.current.count = count;\n }, [positions, count, cubeSize, dummy]);\n\n // Rotate the sphere\n useFrame((state) => {\n if (meshRef.current) {\n meshRef.current.rotation.y = state.clock.elapsedTime * 0.2;\n }\n });\n\n const color = isInfinity ? '#ef4444' : '#818cf8';\n\n // Use a large initial count to avoid recreating the mesh\n const maxInstances = 10000;\n\n return (\n \n \n \n \n );\n}\n\nfunction Scene({ resolution, isInfinity }: VoxelSphereProps) {\n return (\n <>\n \n \n \n \n \n \n \n );\n}\n\n// Smooth parametric sphere for the \"infinity\" result\nfunction SmoothSphere() {\n const meshRef = useRef(null);\n\n useFrame((state) => {\n if (meshRef.current) {\n meshRef.current.rotation.y = state.clock.elapsedTime * 0.3;\n }\n });\n\n return (\n \n \n \n \n );\n}\n\nfunction SmoothSphereScene() {\n return (\n <>\n \n \n \n \n \n \n \n );\n}\n\ntype Phase = 'exploring' | 'warning' | 'result';\ntype Choice = 'infinity' | 'finite' | null;\n\ninterface LayoutState {\n stacked: boolean;\n panelSize: number;\n gap: number;\n padding: number;\n}\n\nexport default function SphereParadox({\n config: _config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n void _config;\n const [phase, setPhase] = useState('exploring');\n const [resolution, setResolution] = useState(minResolution);\n const [choice, setChoice] = useState(null);\n const [hasSeenWarning, setHasSeenWarning] = useState(false);\n const frameRef = useRef(null);\n const [layout, setLayout] = useState({\n stacked: false,\n panelSize: 320,\n gap: 16,\n padding: 16\n });\n const isAtInfinity = resolution >= maxResolution;\n\n // Calculate actual voxel count\n const voxelCount = useMemo(() => {\n const data = generateVoxelSphere(Math.min(resolution, maxResolution));\n return data.count;\n }, [resolution]);\n\n useEffect(() => {\n const frame = frameRef.current;\n if (!frame || typeof ResizeObserver === 'undefined') return;\n\n const measure = () => {\n const { width, height } = frame.getBoundingClientRect();\n if (!width || !height) return;\n\n const stacked = height > width;\n const minEdge = Math.min(width, height);\n const padding = Math.round(Math.max(12, Math.min(28, minEdge * 0.04)));\n const gap = Math.round(Math.max(12, Math.min(22, minEdge * 0.03)));\n const maxSquareWidth = stacked\n ? width - padding * 2\n : (width - padding * 2 - gap) / 2;\n const maxSquareHeight = stacked\n ? (height - padding * 2 - gap) / 2\n : height - padding * 2;\n\n setLayout({\n stacked,\n panelSize: Math.max(0, Math.floor(Math.min(maxSquareWidth, maxSquareHeight))),\n gap,\n padding\n });\n };\n\n measure();\n\n const observer = new ResizeObserver(measure);\n observer.observe(frame);\n\n return () => observer.disconnect();\n }, []);\n\n const cssVars = {\n '--gc-primary': theme?.primary || '#6366f1',\n '--gc-accent': theme?.accent || '#22d3ee',\n '--gc-bg': theme?.bg || '#0a0a0f',\n '--gc-bg-secondary': theme?.bgSecondary || '#12121a',\n '--gc-text': theme?.text || '#e8e8ec',\n '--gc-text-muted': theme?.textMuted || '#9999a8',\n '--gc-border': theme?.border || '#2a2a3a',\n '--panel-gap': `${layout.gap}px`,\n '--frame-pad': `${layout.padding}px`\n } as CSSProperties;\n\n const squareStyle = {\n width: `${layout.panelSize}px`,\n height: `${layout.panelSize}px`\n } as CSSProperties;\n\n useEffect(() => {\n onProgress?.(10);\n }, [onProgress]);\n\n const handleSliderChange = useCallback((e: ChangeEvent) => {\n const val = normalizeOddResolution(parseInt(e.target.value, 10));\n setResolution(val);\n\n const progress = 10 + (val / maxResolution) * 40;\n onProgress?.(Math.min(progress, 50));\n\n if (val >= maxResolution && !hasSeenWarning) {\n setPhase('warning');\n setHasSeenWarning(true);\n onProgress?.(70);\n }\n }, [hasSeenWarning, onProgress, maxResolution]);\n\n const handleChoice = useCallback((selectedChoice: 'infinity' | 'finite') => {\n setChoice(selectedChoice);\n setPhase('result');\n onProgress?.(100);\n }, [onProgress]);\n\n const handleComplete = useCallback(() => {\n // Both choices succeed - this is an educational step, not a gate\n onComplete({\n success: true,\n score: 100,\n data: {\n choice,\n finalResolution: resolution,\n exploredInfinity: hasSeenWarning,\n completedAt: new Date().toISOString()\n }\n });\n }, [choice, resolution, hasSeenWarning, onComplete]);\n\n const formatResolution = (res: number) => {\n if (res >= maxResolution) return '∞';\n return res.toString();\n };\n\n const formatVoxelCount = (count: number, isInf: boolean) => {\n if (isInf) return '∞';\n return count.toLocaleString();\n };\n\n const formatMemory = (count: number, isInf: boolean) => {\n if (isInf) return '∞';\n const bytesPerVoxel = 80;\n const bytes = count * bytesPerVoxel;\n if (bytes < 1024) return `${bytes} B`;\n if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;\n return `${(bytes / (1024 * 1024)).toFixed(2)} MB`;\n };\n\n const renderViewportPanel = (scene: ReactNode, isInf: boolean) => (\n
\n {scene}\n
\n
\n Blocks\n \n {formatVoxelCount(voxelCount, isInf)}\n \n
\n
\n Memory\n \n {formatMemory(voxelCount, isInf)}\n \n
\n
\n
\n );\n\n const renderContentPanel = (content: ReactNode) => (\n
\n
{content}
\n
\n );\n\n return (\n
\n
\n \n {phase === 'exploring' && (\n <>\n {renderViewportPanel(\n \n \n ,\n isAtInfinity\n )}\n {renderContentPanel(\n <>\n
Resolution
\n

\n Every step adds more cubes to the shell. Keep sliding until the approximation breaks open.\n

\n\n
\n
\n Current Level\n \n {formatResolution(resolution)}\n \n
\n \n
\n Drag right to approach a perfectly smooth sphere.\n
\n
\n \n )}\n \n )}\n\n {phase === 'warning' && (\n <>\n {renderViewportPanel(\n \n \n ,\n true\n )}\n {renderContentPanel(\n
\n
Limit Reached
\n

\n At infinite resolution, the sphere needs infinitely many blocks.\n

\n

\n Infinitely many blocks means infinite information and unbounded memory.\n

\n

\n Do you want the perfect sphere anyway?\n

\n
\n handleChoice('infinity')}\n >\n Embrace Infinity\n \n handleChoice('finite')}\n >\n Keep It Finite\n \n
\n
\n )}\n \n )}\n\n {phase === 'result' && (\n <>\n {renderViewportPanel(\n choice === 'infinity' ? (\n \n \n \n ) : (\n \n \n \n ),\n choice === 'infinity'\n )}\n {renderContentPanel(\n <>\n
\n {choice === 'finite' ? 'Finite Wins' : 'Infinity Chosen'}\n
\n
\n
\n Memory Required\n \n {choice === 'finite' ? 'Finite' : '∞'}\n \n
\n
\n Simulation Possible\n \n {choice === 'finite' ? 'Yes' : 'Only in theory'}\n \n
\n
\n\n

\n {choice === 'finite' ? (\n <>\n Discreteness can be enough. A finite model never becomes perfect, but it can get close enough to feel continuous.\n \n ) : (\n <>\n Perfect smoothness costs infinity. A mathematically exact sphere cannot be simulated without infinite information.\n \n )}\n

\n\n \n \n )}\n \n )}\n
\n
\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'sphere-paradox',\n displayName: 'Create a Perfect Sphere',\n version: '1.0.0',\n paramSchema: {},\n defaultParams: {}\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult\n} from 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\ No newline at end of file diff --git a/dist/vendor/glitch/glitch_voxel_universe/glitch.manifest.json b/dist/vendor/glitch/glitch_voxel_universe/glitch.manifest.json new file mode 100644 index 0000000..978bde3 --- /dev/null +++ b/dist/vendor/glitch/glitch_voxel_universe/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "voxel-universe", + "displayName": "Voxel Universe", + "version": "1.0.0", + "folderName": "glitch_voxel_universe", + "packageName": "@glitch-components/voxel-universe", + "entry": "dist/voxel_universe.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "voxel", + "geometry" + ] +} diff --git a/dist/vendor/glitch/glitch_voxel_universe/host.js b/dist/vendor/glitch/glitch_voxel_universe/host.js new file mode 100644 index 0000000..434595e --- /dev/null +++ b/dist/vendor/glitch/glitch_voxel_universe/host.js @@ -0,0 +1,29 @@ +import React from "react"; +import { createRoot } from "react-dom/client"; +import VoxelUniverse, { metadata } from "./voxel_universe.js"; + +const rootElement = document.getElementById("root"); + +if (rootElement) { + createRoot(rootElement).render( + React.createElement(VoxelUniverse, { + config: { + id: "voxel-universe-hosted", + name: metadata?.name ?? "voxel_universe", + version: metadata?.version ?? "1.0.0", + params: metadata?.defaultParams ?? {} + }, + theme: { + primary: "#45c4b0", + accent: "#ff7a59", + bg: "#0d1117", + bgSecondary: "#182237", + text: "#f1f4ef", + textMuted: "#b6c0d4", + border: "#34516f" + }, + onProgress: () => {}, + onComplete: () => {} + }) + ); +} diff --git a/dist/vendor/glitch/glitch_voxel_universe/index.html b/dist/vendor/glitch/glitch_voxel_universe/index.html new file mode 100644 index 0000000..0db95d2 --- /dev/null +++ b/dist/vendor/glitch/glitch_voxel_universe/index.html @@ -0,0 +1,34 @@ + + + + + + Voxel Universe + + + + +
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+import { jsx as pn, jsxs as yi } from "react/jsx-runtime"; +import { useState as Ms, useRef as dr, useEffect as ai, useMemo as fr } from "react"; +/** + * @license + * Copyright 2010-2023 Three.js Authors + * SPDX-License-Identifier: MIT + */ +const ss = "160", Ln = { ROTATE: 0, DOLLY: 1, PAN: 2 }, Pn = { ROTATE: 0, PAN: 1, DOLLY_PAN: 2, DOLLY_ROTATE: 3 }, Yo = 0, Ss = 1, jo = 2, so = 1, ao = 2, jt = 3, un = 0, Mt = 1, Kt = 2, on = 0, $n = 1, Es = 2, ys = 3, Ts = 4, Ko = 5, Mn = 100, Zo = 101, $o = 102, bs = 103, As = 104, Jo = 200, Qo = 201, el = 202, tl = 203, Kr = 204, Zr = 205, nl = 206, il = 207, rl = 208, sl = 209, al = 210, ol = 211, ll = 212, cl = 213, ul = 214, hl = 0, dl = 1, fl = 2, $i = 3, pl = 4, ml = 5, _l = 6, gl = 7, oo = 0, vl = 1, xl = 2, ln = 0, Ml = 1, Sl = 2, El = 3, yl = 4, Tl = 5, bl = 6, lo = 300, Qn = 301, ei = 302, $r = 303, Jr = 304, rr = 306, Qr = 1e3, Nt = 1001, es = 1002, gt = 1003, ws = 1004, pr = 1005, Rt = 1006, Al = 1007, _i = 1008, cn = 1009, wl = 1010, Rl = 1011, as = 1012, co = 1013, sn = 1014, an = 1015, gi = 1016, uo = 1017, ho = 1018, En = 1020, Cl = 1021, Ft = 1023, Ll = 1024, Pl = 1025, yn = 1026, ti = 1027, Dl = 1028, fo = 1029, Ul = 1030, po = 1031, mo = 1033, mr = 33776, _r = 33777, gr = 33778, vr = 33779, Rs = 35840, Cs = 35841, Ls = 35842, Ps = 35843, _o = 36196, Ds = 37492, Us = 37496, Is = 37808, Ns = 37809, Fs = 37810, Os = 37811, Bs = 37812, zs = 37813, Gs = 37814, Hs = 37815, Vs = 37816, ks = 37817, Ws = 37818, Xs = 37819, qs = 37820, Ys = 37821, xr = 36492, js = 36494, Ks = 36495, Il = 36283, Zs = 36284, $s = 36285, Js = 36286, go = 3e3, Tn = 3001, Nl = 3200, Fl = 3201, vo = 0, Ol = 1, Ct = "", ht = "srgb", $t = "srgb-linear", os = "display-p3", sr = "display-p3-linear", Ji = "linear", Ze = "srgb", Qi = "rec709", er = "p3", Dn = 7680, Qs = 519, Bl = 512, zl = 513, Gl = 514, xo = 515, Hl = 516, Vl = 517, kl = 518, Wl = 519, ea = 35044, ta = "300 es", ts = 1035, Zt = 2e3, tr = 2001; +class Rn { + addEventListener(e, t) { + this._listeners === void 0 && (this._listeners = {}); + const n = this._listeners; + n[e] === void 0 && (n[e] = []), n[e].indexOf(t) === -1 && n[e].push(t); + } + hasEventListener(e, t) { + if (this._listeners === void 0) return !1; + const n = this._listeners; + return n[e] !== void 0 && n[e].indexOf(t) !== -1; + } + removeEventListener(e, t) { + if (this._listeners === void 0) return; + const r = this._listeners[e]; + if (r !== void 0) { + const s = r.indexOf(t); + s !== -1 && r.splice(s, 1); + } + } + dispatchEvent(e) { + if (this._listeners === void 0) return; + const n = this._listeners[e.type]; + if (n !== void 0) { + e.target = this; + const r = n.slice(0); + for (let s = 0, o = r.length; s < o; s++) + r[s].call(this, e); + e.target = null; + } + } +} +const pt = ["00", "01", "02", "03", "04", "05", "06", "07", "08", "09", "0a", "0b", "0c", "0d", "0e", "0f", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "1a", "1b", "1c", "1d", "1e", "1f", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "2a", "2b", "2c", "2d", "2e", "2f", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "3a", "3b", "3c", "3d", "3e", "3f", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "4a", "4b", "4c", "4d", "4e", "4f", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "5a", "5b", "5c", "5d", "5e", "5f", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "6a", "6b", "6c", "6d", "6e", "6f", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "7a", "7b", "7c", "7d", "7e", "7f", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "8a", "8b", "8c", "8d", "8e", "8f", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "9a", "9b", "9c", "9d", "9e", "9f", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "aa", "ab", "ac", "ad", "ae", "af", "b0", "b1", "b2", "b3", "b4", "b5", "b6", "b7", "b8", "b9", "ba", "bb", "bc", "bd", "be", "bf", "c0", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "ca", "cb", "cc", "cd", "ce", "cf", "d0", "d1", "d2", "d3", "d4", "d5", "d6", "d7", "d8", "d9", "da", "db", "dc", "dd", "de", "df", "e0", "e1", "e2", "e3", "e4", "e5", "e6", "e7", "e8", "e9", "ea", "eb", "ec", "ed", "ee", "ef", "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7", "f8", "f9", "fa", "fb", "fc", "fd", "fe", "ff"], Ki = Math.PI / 180, ns = 180 / Math.PI; +function vi() { + const i = Math.random() * 4294967295 | 0, e = Math.random() * 4294967295 | 0, t = Math.random() * 4294967295 | 0, n = Math.random() * 4294967295 | 0; + return (pt[i & 255] + pt[i >> 8 & 255] + pt[i >> 16 & 255] + pt[i >> 24 & 255] + "-" + pt[e & 255] + pt[e >> 8 & 255] + "-" + pt[e >> 16 & 15 | 64] + pt[e >> 24 & 255] + "-" + pt[t & 63 | 128] + pt[t >> 8 & 255] + "-" + pt[t >> 16 & 255] + pt[t >> 24 & 255] + pt[n & 255] + pt[n >> 8 & 255] + pt[n >> 16 & 255] + pt[n >> 24 & 255]).toLowerCase(); +} +function vt(i, e, t) { + return Math.max(e, Math.min(t, i)); +} +function Xl(i, e) { + return (i % e + e) % e; +} +function Mr(i, e, t) { + return (1 - t) * i + t * e; +} +function na(i) { + return (i & i - 1) === 0 && i !== 0; +} +function is(i) { + return Math.pow(2, Math.floor(Math.log(i) / Math.LN2)); +} +function oi(i, e) { + switch (e.constructor) { + case Float32Array: + return i; + case Uint32Array: + return i / 4294967295; + case Uint16Array: + return i / 65535; + case Uint8Array: + return i / 255; + case Int32Array: + return Math.max(i / 2147483647, -1); + case Int16Array: + return Math.max(i / 32767, -1); + case Int8Array: + return Math.max(i / 127, -1); + default: + throw new Error("Invalid component type."); + } +} +function xt(i, e) { + switch (e.constructor) { + case Float32Array: + return i; + case Uint32Array: + return Math.round(i * 4294967295); + case Uint16Array: + return Math.round(i * 65535); + case Uint8Array: + return Math.round(i * 255); + case Int32Array: + return Math.round(i * 2147483647); + case Int16Array: + return Math.round(i * 32767); + case Int8Array: + return Math.round(i * 127); + default: + throw new Error("Invalid component type."); + } +} +const ql = { + DEG2RAD: Ki +}; +class Ie { + constructor(e = 0, t = 0) { + Ie.prototype.isVector2 = !0, this.x = e, this.y = t; + } + get width() { + return this.x; + } + set width(e) { + this.x = e; + } + get height() { + return this.y; + } + set height(e) { + this.y = e; + } + set(e, t) { + return this.x = e, this.y = t, this; + } + setScalar(e) { + return this.x = e, this.y = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y); + } + copy(e) { + return this.x = e.x, this.y = e.y, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this; + } + addScalar(e) { + return this.x += e, this.y += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this; + } + divide(e) { + return this.x /= e.x, this.y /= e.y, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + applyMatrix3(e) { + const t = this.x, n = this.y, r = e.elements; + return this.x = r[0] * t + r[3] * n + r[6], this.y = r[1] * t + r[4] * n + r[7], this; + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this; + } + dot(e) { + return this.x * e.x + this.y * e.y; + } + cross(e) { + return this.x * e.y - this.y * e.x; + } + lengthSq() { + return this.x * this.x + this.y * this.y; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + angle() { + return Math.atan2(-this.y, -this.x) + Math.PI; + } + angleTo(e) { + const t = Math.sqrt(this.lengthSq() * e.lengthSq()); + if (t === 0) return Math.PI / 2; + const n = this.dot(e) / t; + return Math.acos(vt(n, -1, 1)); + } + distanceTo(e) { + return Math.sqrt(this.distanceToSquared(e)); + } + distanceToSquared(e) { + const t = this.x - e.x, n = this.y - e.y; + return t * t + n * n; + } + manhattanDistanceTo(e) { + return Math.abs(this.x - e.x) + Math.abs(this.y - e.y); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this; + } + equals(e) { + return e.x === this.x && e.y === this.y; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this; + } + rotateAround(e, t) { + const n = Math.cos(t), r = Math.sin(t), s = this.x - e.x, o = this.y - e.y; + return this.x = s * n - o * r + e.x, this.y = s * r + o * n + e.y, this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y; + } +} +class Ve { + constructor(e, t, n, r, s, o, a, l, c) { + Ve.prototype.isMatrix3 = !0, this.elements = [ + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1 + ], e !== void 0 && this.set(e, t, n, r, s, o, a, l, c); + } + set(e, t, n, r, s, o, a, l, c) { + const h = this.elements; + return h[0] = e, h[1] = r, h[2] = a, h[3] = t, h[4] = s, h[5] = l, h[6] = n, h[7] = o, h[8] = c, this; + } + identity() { + return this.set( + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1 + ), this; + } + copy(e) { + const t = this.elements, n = e.elements; + return t[0] = n[0], t[1] = n[1], t[2] = n[2], t[3] = n[3], t[4] = n[4], t[5] = n[5], t[6] = n[6], t[7] = n[7], t[8] = n[8], this; + } + extractBasis(e, t, n) { + return e.setFromMatrix3Column(this, 0), t.setFromMatrix3Column(this, 1), n.setFromMatrix3Column(this, 2), this; + } + setFromMatrix4(e) { + const t = e.elements; + return this.set( + t[0], + t[4], + t[8], + t[1], + t[5], + t[9], + t[2], + t[6], + t[10] + ), this; + } + multiply(e) { + return this.multiplyMatrices(this, e); + } + premultiply(e) { + return this.multiplyMatrices(e, this); + } + multiplyMatrices(e, t) { + const n = e.elements, r = t.elements, s = this.elements, o = n[0], a = n[3], l = n[6], c = n[1], h = n[4], d = n[7], p = n[2], m = n[5], g = n[8], v = r[0], f = r[3], u = r[6], b = r[1], S = r[4], R = r[7], D = r[2], C = r[5], A = r[8]; + return s[0] = o * v + a * b + l * D, s[3] = o * f + a * S + l * C, s[6] = o * u + a * R + l * A, s[1] = c * v + h * b + d * D, s[4] = c * f + h * S + d * C, s[7] = c * u + h * R + d * A, s[2] = p * v + m * b + g * D, s[5] = p * f + m * S + g * C, s[8] = p * u + m * R + g * A, this; + } + multiplyScalar(e) { + const t = this.elements; + return t[0] *= e, t[3] *= e, t[6] *= e, t[1] *= e, t[4] *= e, t[7] *= e, t[2] *= e, t[5] *= e, t[8] *= e, this; + } + determinant() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8]; + return t * o * h - t * a * c - n * s * h + n * a * l + r * s * c - r * o * l; + } + invert() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8], d = h * o - a * c, p = a * l - h * s, m = c * s - o * l, g = t * d + n * p + r * m; + if (g === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0); + const v = 1 / g; + return e[0] = d * v, e[1] = (r * c - h * n) * v, e[2] = (a * n - r * o) * v, e[3] = p * v, e[4] = (h * t - r * l) * v, e[5] = (r * s - a * t) * v, e[6] = m * v, e[7] = (n * l - c * t) * v, e[8] = (o * t - n * s) * v, this; + } + transpose() { + let e; + const t = this.elements; + return e = t[1], t[1] = t[3], t[3] = e, e = t[2], t[2] = t[6], t[6] = e, e = t[5], t[5] = t[7], t[7] = e, this; + } + getNormalMatrix(e) { + return this.setFromMatrix4(e).invert().transpose(); + } + transposeIntoArray(e) { + const t = this.elements; + return e[0] = t[0], e[1] = t[3], e[2] = t[6], e[3] = t[1], e[4] = t[4], e[5] = t[7], e[6] = t[2], e[7] = t[5], e[8] = t[8], this; + } + setUvTransform(e, t, n, r, s, o, a) { + const l = Math.cos(s), c = Math.sin(s); + return this.set( + n * l, + n * c, + -n * (l * o + c * a) + o + e, + -r * c, + r * l, + -r * (-c * o + l * a) + a + t, + 0, + 0, + 1 + ), this; + } + // + scale(e, t) { + return this.premultiply(Sr.makeScale(e, t)), this; + } + rotate(e) { + return this.premultiply(Sr.makeRotation(-e)), this; + } + translate(e, t) { + return this.premultiply(Sr.makeTranslation(e, t)), this; + } + // for 2D Transforms + makeTranslation(e, t) { + return e.isVector2 ? this.set( + 1, + 0, + e.x, + 0, + 1, + e.y, + 0, + 0, + 1 + ) : this.set( + 1, + 0, + e, + 0, + 1, + t, + 0, + 0, + 1 + ), this; + } + makeRotation(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + -n, + 0, + n, + t, + 0, + 0, + 0, + 1 + ), this; + } + makeScale(e, t) { + return this.set( + e, + 0, + 0, + 0, + t, + 0, + 0, + 0, + 1 + ), this; + } + // + equals(e) { + const t = this.elements, n = e.elements; + for (let r = 0; r < 9; r++) + if (t[r] !== n[r]) return !1; + return !0; + } + fromArray(e, t = 0) { + for (let n = 0; n < 9; n++) + this.elements[n] = e[n + t]; + return this; + } + toArray(e = [], t = 0) { + const n = this.elements; + return e[t] = n[0], e[t + 1] = n[1], e[t + 2] = n[2], e[t + 3] = n[3], e[t + 4] = n[4], e[t + 5] = n[5], e[t + 6] = n[6], e[t + 7] = n[7], e[t + 8] = n[8], e; + } + clone() { + return new this.constructor().fromArray(this.elements); + } +} +const Sr = /* @__PURE__ */ new Ve(); +function Mo(i) { + for (let e = i.length - 1; e >= 0; --e) + if (i[e] >= 65535) return !0; + return !1; +} +function nr(i) { + return document.createElementNS("http://www.w3.org/1999/xhtml", i); +} +function Yl() { + const i = nr("canvas"); + return i.style.display = "block", i; +} +const ia = {}; +function mi(i) { + i in ia || (ia[i] = !0, console.warn(i)); +} +const ra = /* @__PURE__ */ new Ve().set( + 0.8224621, + 0.177538, + 0, + 0.0331941, + 0.9668058, + 0, + 0.0170827, + 0.0723974, + 0.9105199 +), sa = /* @__PURE__ */ new Ve().set( + 1.2249401, + -0.2249404, + 0, + -0.0420569, + 1.0420571, + 0, + -0.0196376, + -0.0786361, + 1.0982735 +), Ti = { + [$t]: { + transfer: Ji, + primaries: Qi, + toReference: (i) => i, + fromReference: (i) => i + }, + [ht]: { + transfer: Ze, + primaries: Qi, + toReference: (i) => i.convertSRGBToLinear(), + fromReference: (i) => i.convertLinearToSRGB() + }, + [sr]: { + transfer: Ji, + primaries: er, + toReference: (i) => i.applyMatrix3(sa), + fromReference: (i) => i.applyMatrix3(ra) + }, + [os]: { + transfer: Ze, + primaries: er, + toReference: (i) => i.convertSRGBToLinear().applyMatrix3(sa), + fromReference: (i) => i.applyMatrix3(ra).convertLinearToSRGB() + } +}, jl = /* @__PURE__ */ new Set([$t, sr]), Ke = { + enabled: !0, + _workingColorSpace: $t, + get workingColorSpace() { + return this._workingColorSpace; + }, + set workingColorSpace(i) { + if (!jl.has(i)) + throw new Error(`Unsupported working color space, "${i}".`); + this._workingColorSpace = i; + }, + convert: function(i, e, t) { + if (this.enabled === !1 || e === t || !e || !t) + return i; + const n = Ti[e].toReference, r = Ti[t].fromReference; + return r(n(i)); + }, + fromWorkingColorSpace: function(i, e) { + return this.convert(i, this._workingColorSpace, e); + }, + toWorkingColorSpace: function(i, e) { + return this.convert(i, e, this._workingColorSpace); + }, + getPrimaries: function(i) { + return Ti[i].primaries; + }, + getTransfer: function(i) { + return i === Ct ? Ji : Ti[i].transfer; + } +}; +function Jn(i) { + return i < 0.04045 ? i * 0.0773993808 : Math.pow(i * 0.9478672986 + 0.0521327014, 2.4); +} +function Er(i) { + return i < 31308e-7 ? i * 12.92 : 1.055 * Math.pow(i, 0.41666) - 0.055; +} +let Un; +class So { + static getDataURL(e) { + if (/^data:/i.test(e.src) || typeof HTMLCanvasElement > "u") + return e.src; + let t; + if (e instanceof HTMLCanvasElement) + t = e; + else { + Un === void 0 && (Un = nr("canvas")), Un.width = e.width, Un.height = e.height; + const n = Un.getContext("2d"); + e instanceof ImageData ? n.putImageData(e, 0, 0) : n.drawImage(e, 0, 0, e.width, e.height), t = Un; + } + return t.width > 2048 || t.height > 2048 ? (console.warn("THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons", e), t.toDataURL("image/jpeg", 0.6)) : t.toDataURL("image/png"); + } + static sRGBToLinear(e) { + if (typeof HTMLImageElement < "u" && e instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && e instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && e instanceof ImageBitmap) { + const t = nr("canvas"); + t.width = e.width, t.height = e.height; + const n = t.getContext("2d"); + n.drawImage(e, 0, 0, e.width, e.height); + const r = n.getImageData(0, 0, e.width, e.height), s = r.data; + for (let o = 0; o < s.length; o++) + s[o] = Jn(s[o] / 255) * 255; + return n.putImageData(r, 0, 0), t; + } else if (e.data) { + const t = e.data.slice(0); + for (let n = 0; n < t.length; n++) + t instanceof Uint8Array || t instanceof Uint8ClampedArray ? t[n] = Math.floor(Jn(t[n] / 255) * 255) : t[n] = Jn(t[n]); + return { + data: t, + width: e.width, + height: e.height + }; + } else + return console.warn("THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied."), e; + } +} +let Kl = 0; +class Eo { + constructor(e = null) { + this.isSource = !0, Object.defineProperty(this, "id", { value: Kl++ }), this.uuid = vi(), this.data = e, this.version = 0; + } + set needsUpdate(e) { + e === !0 && this.version++; + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + if (!t && e.images[this.uuid] !== void 0) + return e.images[this.uuid]; + const n = { + uuid: this.uuid, + url: "" + }, r = this.data; + if (r !== null) { + let s; + if (Array.isArray(r)) { + s = []; + for (let o = 0, a = r.length; o < a; o++) + r[o].isDataTexture ? s.push(yr(r[o].image)) : s.push(yr(r[o])); + } else + s = yr(r); + n.url = s; + } + return t || (e.images[this.uuid] = n), n; + } +} +function yr(i) { + return typeof HTMLImageElement < "u" && i instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && i instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && i instanceof ImageBitmap ? So.getDataURL(i) : i.data ? { + data: Array.from(i.data), + width: i.width, + height: i.height, + type: i.data.constructor.name + } : (console.warn("THREE.Texture: Unable to serialize Texture."), {}); +} +let Zl = 0; +class bt extends Rn { + constructor(e = bt.DEFAULT_IMAGE, t = bt.DEFAULT_MAPPING, n = Nt, r = Nt, s = Rt, o = _i, a = Ft, l = cn, c = bt.DEFAULT_ANISOTROPY, h = Ct) { + super(), this.isTexture = !0, Object.defineProperty(this, "id", { value: Zl++ }), this.uuid = vi(), this.name = "", this.source = new Eo(e), this.mipmaps = [], this.mapping = t, this.channel = 0, this.wrapS = n, this.wrapT = r, this.magFilter = s, this.minFilter = o, this.anisotropy = c, this.format = a, this.internalFormat = null, this.type = l, this.offset = new Ie(0, 0), this.repeat = new Ie(1, 1), this.center = new Ie(0, 0), this.rotation = 0, this.matrixAutoUpdate = !0, this.matrix = new Ve(), this.generateMipmaps = !0, this.premultiplyAlpha = !1, this.flipY = !0, this.unpackAlignment = 4, typeof h == "string" ? this.colorSpace = h : (mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace = h === Tn ? ht : Ct), this.userData = {}, this.version = 0, this.onUpdate = null, this.isRenderTargetTexture = !1, this.needsPMREMUpdate = !1; + } + get image() { + return this.source.data; + } + set image(e = null) { + this.source.data = e; + } + updateMatrix() { + this.matrix.setUvTransform(this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.name = e.name, this.source = e.source, this.mipmaps = e.mipmaps.slice(0), this.mapping = e.mapping, this.channel = e.channel, this.wrapS = e.wrapS, this.wrapT = e.wrapT, this.magFilter = e.magFilter, this.minFilter = e.minFilter, this.anisotropy = e.anisotropy, this.format = e.format, this.internalFormat = e.internalFormat, this.type = e.type, this.offset.copy(e.offset), this.repeat.copy(e.repeat), this.center.copy(e.center), this.rotation = e.rotation, this.matrixAutoUpdate = e.matrixAutoUpdate, this.matrix.copy(e.matrix), this.generateMipmaps = e.generateMipmaps, this.premultiplyAlpha = e.premultiplyAlpha, this.flipY = e.flipY, this.unpackAlignment = e.unpackAlignment, this.colorSpace = e.colorSpace, this.userData = JSON.parse(JSON.stringify(e.userData)), this.needsUpdate = !0, this; + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + if (!t && e.textures[this.uuid] !== void 0) + return e.textures[this.uuid]; + const n = { + metadata: { + version: 4.6, + type: "Texture", + generator: "Texture.toJSON" + }, + uuid: this.uuid, + name: this.name, + image: this.source.toJSON(e).uuid, + mapping: this.mapping, + channel: this.channel, + repeat: [this.repeat.x, this.repeat.y], + offset: [this.offset.x, this.offset.y], + center: [this.center.x, this.center.y], + rotation: this.rotation, + wrap: [this.wrapS, this.wrapT], + format: this.format, + internalFormat: this.internalFormat, + type: this.type, + colorSpace: this.colorSpace, + minFilter: this.minFilter, + magFilter: this.magFilter, + anisotropy: this.anisotropy, + flipY: this.flipY, + generateMipmaps: this.generateMipmaps, + premultiplyAlpha: this.premultiplyAlpha, + unpackAlignment: this.unpackAlignment + }; + return Object.keys(this.userData).length > 0 && (n.userData = this.userData), t || (e.textures[this.uuid] = n), n; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } + transformUv(e) { + if (this.mapping !== lo) return e; + if (e.applyMatrix3(this.matrix), e.x < 0 || e.x > 1) + switch (this.wrapS) { + case Qr: + e.x = e.x - Math.floor(e.x); + break; + case Nt: + e.x = e.x < 0 ? 0 : 1; + break; + case es: + Math.abs(Math.floor(e.x) % 2) === 1 ? e.x = Math.ceil(e.x) - e.x : e.x = e.x - Math.floor(e.x); + break; + } + if (e.y < 0 || e.y > 1) + switch (this.wrapT) { + case Qr: + e.y = e.y - Math.floor(e.y); + break; + case Nt: + e.y = e.y < 0 ? 0 : 1; + break; + case es: + Math.abs(Math.floor(e.y) % 2) === 1 ? e.y = Math.ceil(e.y) - e.y : e.y = e.y - Math.floor(e.y); + break; + } + return this.flipY && (e.y = 1 - e.y), e; + } + set needsUpdate(e) { + e === !0 && (this.version++, this.source.needsUpdate = !0); + } + get encoding() { + return mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace === ht ? Tn : go; + } + set encoding(e) { + mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace = e === Tn ? ht : Ct; + } +} +bt.DEFAULT_IMAGE = null; +bt.DEFAULT_MAPPING = lo; +bt.DEFAULT_ANISOTROPY = 1; +class $e { + constructor(e = 0, t = 0, n = 0, r = 1) { + $e.prototype.isVector4 = !0, this.x = e, this.y = t, this.z = n, this.w = r; + } + get width() { + return this.z; + } + set width(e) { + this.z = e; + } + get height() { + return this.w; + } + set height(e) { + this.w = e; + } + set(e, t, n, r) { + return this.x = e, this.y = t, this.z = n, this.w = r, this; + } + setScalar(e) { + return this.x = e, this.y = e, this.z = e, this.w = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setZ(e) { + return this.z = e, this; + } + setW(e) { + return this.w = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + case 2: + this.z = t; + break; + case 3: + this.w = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + case 2: + return this.z; + case 3: + return this.w; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y, this.z, this.w); + } + copy(e) { + return this.x = e.x, this.y = e.y, this.z = e.z, this.w = e.w !== void 0 ? e.w : 1, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this.z += e.z, this.w += e.w, this; + } + addScalar(e) { + return this.x += e, this.y += e, this.z += e, this.w += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this.z = e.z + t.z, this.w = e.w + t.w, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this.z += e.z * t, this.w += e.w * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this.z -= e.z, this.w -= e.w, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this.z -= e, this.w -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this.z = e.z - t.z, this.w = e.w - t.w, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this.z *= e.z, this.w *= e.w, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this.z *= e, this.w *= e, this; + } + applyMatrix4(e) { + const t = this.x, n = this.y, r = this.z, s = this.w, o = e.elements; + return this.x = o[0] * t + o[4] * n + o[8] * r + o[12] * s, this.y = o[1] * t + o[5] * n + o[9] * r + o[13] * s, this.z = o[2] * t + o[6] * n + o[10] * r + o[14] * s, this.w = o[3] * t + o[7] * n + o[11] * r + o[15] * s, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + setAxisAngleFromQuaternion(e) { + this.w = 2 * Math.acos(e.w); + const t = Math.sqrt(1 - e.w * e.w); + return t < 1e-4 ? (this.x = 1, this.y = 0, this.z = 0) : (this.x = e.x / t, this.y = e.y / t, this.z = e.z / t), this; + } + setAxisAngleFromRotationMatrix(e) { + let t, n, r, s; + const l = e.elements, c = l[0], h = l[4], d = l[8], p = l[1], m = l[5], g = l[9], v = l[2], f = l[6], u = l[10]; + if (Math.abs(h - p) < 0.01 && Math.abs(d - v) < 0.01 && Math.abs(g - f) < 0.01) { + if (Math.abs(h + p) < 0.1 && Math.abs(d + v) < 0.1 && Math.abs(g + f) < 0.1 && Math.abs(c + m + u - 3) < 0.1) + return this.set(1, 0, 0, 0), this; + t = Math.PI; + const S = (c + 1) / 2, R = (m + 1) / 2, D = (u + 1) / 2, C = (h + p) / 4, A = (d + v) / 4, W = (g + f) / 4; + return S > R && S > D ? S < 0.01 ? (n = 0, r = 0.707106781, s = 0.707106781) : (n = Math.sqrt(S), r = C / n, s = A / n) : R > D ? R < 0.01 ? (n = 0.707106781, r = 0, s = 0.707106781) : (r = Math.sqrt(R), n = C / r, s = W / r) : D < 0.01 ? (n = 0.707106781, r = 0.707106781, s = 0) : (s = Math.sqrt(D), n = A / s, r = W / s), this.set(n, r, s, t), this; + } + let b = Math.sqrt((f - g) * (f - g) + (d - v) * (d - v) + (p - h) * (p - h)); + return Math.abs(b) < 1e-3 && (b = 1), this.x = (f - g) / b, this.y = (d - v) / b, this.z = (p - h) / b, this.w = Math.acos((c + m + u - 1) / 2), this; + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this.z = Math.min(this.z, e.z), this.w = Math.min(this.w, e.w), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this.z = Math.max(this.z, e.z), this.w = Math.max(this.w, e.w), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this.z = Math.max(e.z, Math.min(t.z, this.z)), this.w = Math.max(e.w, Math.min(t.w, this.w)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this.z = Math.max(e, Math.min(t, this.z)), this.w = Math.max(e, Math.min(t, this.w)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this.z = Math.floor(this.z), this.w = Math.floor(this.w), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this.z = Math.ceil(this.z), this.w = Math.ceil(this.w), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this.z = Math.round(this.z), this.w = Math.round(this.w), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this.z = Math.trunc(this.z), this.w = Math.trunc(this.w), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this.z = -this.z, this.w = -this.w, this; + } + dot(e) { + return this.x * e.x + this.y * e.y + this.z * e.z + this.w * e.w; + } + lengthSq() { + return this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z) + Math.abs(this.w); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this.z += (e.z - this.z) * t, this.w += (e.w - this.w) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this.z = e.z + (t.z - e.z) * n, this.w = e.w + (t.w - e.w) * n, this; + } + equals(e) { + return e.x === this.x && e.y === this.y && e.z === this.z && e.w === this.w; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this.z = e[t + 2], this.w = e[t + 3], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e[t + 2] = this.z, e[t + 3] = this.w, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this.z = e.getZ(t), this.w = e.getW(t), this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this.z = Math.random(), this.w = Math.random(), this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y, yield this.z, yield this.w; + } +} +class $l extends Rn { + constructor(e = 1, t = 1, n = {}) { + super(), this.isRenderTarget = !0, this.width = e, this.height = t, this.depth = 1, this.scissor = new $e(0, 0, e, t), this.scissorTest = !1, this.viewport = new $e(0, 0, e, t); + const r = { width: e, height: t, depth: 1 }; + n.encoding !== void 0 && (mi("THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace."), n.colorSpace = n.encoding === Tn ? ht : Ct), n = Object.assign({ + generateMipmaps: !1, + internalFormat: null, + minFilter: Rt, + depthBuffer: !0, + stencilBuffer: !1, + depthTexture: null, + samples: 0 + }, n), this.texture = new bt(r, n.mapping, n.wrapS, n.wrapT, n.magFilter, n.minFilter, n.format, n.type, n.anisotropy, n.colorSpace), this.texture.isRenderTargetTexture = !0, this.texture.flipY = !1, this.texture.generateMipmaps = n.generateMipmaps, this.texture.internalFormat = n.internalFormat, this.depthBuffer = n.depthBuffer, this.stencilBuffer = n.stencilBuffer, this.depthTexture = n.depthTexture, this.samples = n.samples; + } + setSize(e, t, n = 1) { + (this.width !== e || this.height !== t || this.depth !== n) && (this.width = e, this.height = t, this.depth = n, this.texture.image.width = e, this.texture.image.height = t, this.texture.image.depth = n, this.dispose()), this.viewport.set(0, 0, e, t), this.scissor.set(0, 0, e, t); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.width = e.width, this.height = e.height, this.depth = e.depth, this.scissor.copy(e.scissor), this.scissorTest = e.scissorTest, this.viewport.copy(e.viewport), this.texture = e.texture.clone(), this.texture.isRenderTargetTexture = !0; + const t = Object.assign({}, e.texture.image); + return this.texture.source = new Eo(t), this.depthBuffer = e.depthBuffer, this.stencilBuffer = e.stencilBuffer, e.depthTexture !== null && (this.depthTexture = e.depthTexture.clone()), this.samples = e.samples, this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +class bn extends $l { + constructor(e = 1, t = 1, n = {}) { + super(e, t, n), this.isWebGLRenderTarget = !0; + } +} +class yo extends bt { + constructor(e = null, t = 1, n = 1, r = 1) { + super(null), this.isDataArrayTexture = !0, this.image = { data: e, width: t, height: n, depth: r }, this.magFilter = gt, this.minFilter = gt, this.wrapR = Nt, this.generateMipmaps = !1, this.flipY = !1, this.unpackAlignment = 1; + } +} +class Jl extends bt { + constructor(e = null, t = 1, n = 1, r = 1) { + super(null), this.isData3DTexture = !0, this.image = { data: e, width: t, height: n, depth: r }, this.magFilter = gt, this.minFilter = gt, this.wrapR = Nt, this.generateMipmaps = !1, this.flipY = !1, this.unpackAlignment = 1; + } +} +class An { + constructor(e = 0, t = 0, n = 0, r = 1) { + this.isQuaternion = !0, this._x = e, this._y = t, this._z = n, this._w = r; + } + static slerpFlat(e, t, n, r, s, o, a) { + let l = n[r + 0], c = n[r + 1], h = n[r + 2], d = n[r + 3]; + const p = s[o + 0], m = s[o + 1], g = s[o + 2], v = s[o + 3]; + if (a === 0) { + e[t + 0] = l, e[t + 1] = c, e[t + 2] = h, e[t + 3] = d; + return; + } + if (a === 1) { + e[t + 0] = p, e[t + 1] = m, e[t + 2] = g, e[t + 3] = v; + return; + } + if (d !== v || l !== p || c !== m || h !== g) { + let f = 1 - a; + const u = l * p + c * m + h * g + d * v, b = u >= 0 ? 1 : -1, S = 1 - u * u; + if (S > Number.EPSILON) { + const D = Math.sqrt(S), C = Math.atan2(D, u * b); + f = Math.sin(f * C) / D, a = Math.sin(a * C) / D; + } + const R = a * b; + if (l = l * f + p * R, c = c * f + m * R, h = h * f + g * R, d = d * f + v * R, f === 1 - a) { + const D = 1 / Math.sqrt(l * l + c * c + h * h + d * d); + l *= D, c *= D, h *= D, d *= D; + } + } + e[t] = l, e[t + 1] = c, e[t + 2] = h, e[t + 3] = d; + } + static multiplyQuaternionsFlat(e, t, n, r, s, o) { + const a = n[r], l = n[r + 1], c = n[r + 2], h = n[r + 3], d = s[o], p = s[o + 1], m = s[o + 2], g = s[o + 3]; + return e[t] = a * g + h * d + l * m - c * p, e[t + 1] = l * g + h * p + c * d - a * m, e[t + 2] = c * g + h * m + a * p - l * d, e[t + 3] = h * g - a * d - l * p - c * m, e; + } + get x() { + return this._x; + } + set x(e) { + this._x = e, this._onChangeCallback(); + } + get y() { + return this._y; + } + set y(e) { + this._y = e, this._onChangeCallback(); + } + get z() { + return this._z; + } + set z(e) { + this._z = e, this._onChangeCallback(); + } + get w() { + return this._w; + } + set w(e) { + this._w = e, this._onChangeCallback(); + } + set(e, t, n, r) { + return this._x = e, this._y = t, this._z = n, this._w = r, this._onChangeCallback(), this; + } + clone() { + return new this.constructor(this._x, this._y, this._z, this._w); + } + copy(e) { + return this._x = e.x, this._y = e.y, this._z = e.z, this._w = e.w, this._onChangeCallback(), this; + } + setFromEuler(e, t = !0) { + const n = e._x, r = e._y, s = e._z, o = e._order, a = Math.cos, l = Math.sin, c = a(n / 2), h = a(r / 2), d = a(s / 2), p = l(n / 2), m = l(r / 2), g = l(s / 2); + switch (o) { + case "XYZ": + this._x = p * h * d + c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d - p * m * g; + break; + case "YXZ": + this._x = p * h * d + c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d + p * m * g; + break; + case "ZXY": + this._x = p * h * d - c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d - p * m * g; + break; + case "ZYX": + this._x = p * h * d - c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d + p * m * g; + break; + case "YZX": + this._x = p * h * d + c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d - p * m * g; + break; + case "XZY": + this._x = p * h * d - c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d + p * m * g; + break; + default: + console.warn("THREE.Quaternion: .setFromEuler() encountered an unknown order: " + o); + } + return t === !0 && this._onChangeCallback(), this; + } + setFromAxisAngle(e, t) { + const n = t / 2, r = Math.sin(n); + return this._x = e.x * r, this._y = e.y * r, this._z = e.z * r, this._w = Math.cos(n), this._onChangeCallback(), this; + } + setFromRotationMatrix(e) { + const t = e.elements, n = t[0], r = t[4], s = t[8], o = t[1], a = t[5], l = t[9], c = t[2], h = t[6], d = t[10], p = n + a + d; + if (p > 0) { + const m = 0.5 / Math.sqrt(p + 1); + this._w = 0.25 / m, this._x = (h - l) * m, this._y = (s - c) * m, this._z = (o - r) * m; + } else if (n > a && n > d) { + const m = 2 * Math.sqrt(1 + n - a - d); + this._w = (h - l) / m, this._x = 0.25 * m, this._y = (r + o) / m, this._z = (s + c) / m; + } else if (a > d) { + const m = 2 * Math.sqrt(1 + a - n - d); + this._w = (s - c) / m, this._x = (r + o) / m, this._y = 0.25 * m, this._z = (l + h) / m; + } else { + const m = 2 * Math.sqrt(1 + d - n - a); + this._w = (o - r) / m, this._x = (s + c) / m, this._y = (l + h) / m, this._z = 0.25 * m; + } + return this._onChangeCallback(), this; + } + setFromUnitVectors(e, t) { + let n = e.dot(t) + 1; + return n < Number.EPSILON ? (n = 0, Math.abs(e.x) > Math.abs(e.z) ? (this._x = -e.y, this._y = e.x, this._z = 0, this._w = n) : (this._x = 0, this._y = -e.z, this._z = e.y, this._w = n)) : (this._x = e.y * t.z - e.z * t.y, this._y = e.z * t.x - e.x * t.z, this._z = e.x * t.y - e.y * t.x, this._w = n), this.normalize(); + } + angleTo(e) { + return 2 * Math.acos(Math.abs(vt(this.dot(e), -1, 1))); + } + rotateTowards(e, t) { + const n = this.angleTo(e); + if (n === 0) return this; + const r = Math.min(1, t / n); + return this.slerp(e, r), this; + } + identity() { + return this.set(0, 0, 0, 1); + } + invert() { + return this.conjugate(); + } + conjugate() { + return this._x *= -1, this._y *= -1, this._z *= -1, this._onChangeCallback(), this; + } + dot(e) { + return this._x * e._x + this._y * e._y + this._z * e._z + this._w * e._w; + } + lengthSq() { + return this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w; + } + length() { + return Math.sqrt(this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w); + } + normalize() { + let e = this.length(); + return e === 0 ? (this._x = 0, this._y = 0, this._z = 0, this._w = 1) : (e = 1 / e, this._x = this._x * e, this._y = this._y * e, this._z = this._z * e, this._w = this._w * e), this._onChangeCallback(), this; + } + multiply(e) { + return this.multiplyQuaternions(this, e); + } + premultiply(e) { + return this.multiplyQuaternions(e, this); + } + multiplyQuaternions(e, t) { + const n = e._x, r = e._y, s = e._z, o = e._w, a = t._x, l = t._y, c = t._z, h = t._w; + return this._x = n * h + o * a + r * c - s * l, this._y = r * h + o * l + s * a - n * c, this._z = s * h + o * c + n * l - r * a, this._w = o * h - n * a - r * l - s * c, this._onChangeCallback(), this; + } + slerp(e, t) { + if (t === 0) return this; + if (t === 1) return this.copy(e); + const n = this._x, r = this._y, s = this._z, o = this._w; + let a = o * e._w + n * e._x + r * e._y + s * e._z; + if (a < 0 ? (this._w = -e._w, this._x = -e._x, this._y = -e._y, this._z = -e._z, a = -a) : this.copy(e), a >= 1) + return this._w = o, this._x = n, this._y = r, this._z = s, this; + const l = 1 - a * a; + if (l <= Number.EPSILON) { + const m = 1 - t; + return this._w = m * o + t * this._w, this._x = m * n + t * this._x, this._y = m * r + t * this._y, this._z = m * s + t * this._z, this.normalize(), this; + } + const c = Math.sqrt(l), h = Math.atan2(c, a), d = Math.sin((1 - t) * h) / c, p = Math.sin(t * h) / c; + return this._w = o * d + this._w * p, this._x = n * d + this._x * p, this._y = r * d + this._y * p, this._z = s * d + this._z * p, this._onChangeCallback(), this; + } + slerpQuaternions(e, t, n) { + return this.copy(e).slerp(t, n); + } + random() { + const e = Math.random(), t = Math.sqrt(1 - e), n = Math.sqrt(e), r = 2 * Math.PI * Math.random(), s = 2 * Math.PI * Math.random(); + return this.set( + t * Math.cos(r), + n * Math.sin(s), + n * Math.cos(s), + t * Math.sin(r) + ); + } + equals(e) { + return e._x === this._x && e._y === this._y && e._z === this._z && e._w === this._w; + } + fromArray(e, t = 0) { + return this._x = e[t], this._y = e[t + 1], this._z = e[t + 2], this._w = e[t + 3], this._onChangeCallback(), this; + } + toArray(e = [], t = 0) { + return e[t] = this._x, e[t + 1] = this._y, e[t + 2] = this._z, e[t + 3] = this._w, e; + } + fromBufferAttribute(e, t) { + return this._x = e.getX(t), this._y = e.getY(t), this._z = e.getZ(t), this._w = e.getW(t), this._onChangeCallback(), this; + } + toJSON() { + return this.toArray(); + } + _onChange(e) { + return this._onChangeCallback = e, this; + } + _onChangeCallback() { + } + *[Symbol.iterator]() { + yield this._x, yield this._y, yield this._z, yield this._w; + } +} +class P { + constructor(e = 0, t = 0, n = 0) { + P.prototype.isVector3 = !0, this.x = e, this.y = t, this.z = n; + } + set(e, t, n) { + return n === void 0 && (n = this.z), this.x = e, this.y = t, this.z = n, this; + } + setScalar(e) { + return this.x = e, this.y = e, this.z = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setZ(e) { + return this.z = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + case 2: + this.z = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + case 2: + return this.z; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y, this.z); + } + copy(e) { + return this.x = e.x, this.y = e.y, this.z = e.z, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this.z += e.z, this; + } + addScalar(e) { + return this.x += e, this.y += e, this.z += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this.z = e.z + t.z, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this.z += e.z * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this.z -= e.z, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this.z -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this.z = e.z - t.z, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this.z *= e.z, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this.z *= e, this; + } + multiplyVectors(e, t) { + return this.x = e.x * t.x, this.y = e.y * t.y, this.z = e.z * t.z, this; + } + applyEuler(e) { + return this.applyQuaternion(aa.setFromEuler(e)); + } + applyAxisAngle(e, t) { + return this.applyQuaternion(aa.setFromAxisAngle(e, t)); + } + applyMatrix3(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements; + return this.x = s[0] * t + s[3] * n + s[6] * r, this.y = s[1] * t + s[4] * n + s[7] * r, this.z = s[2] * t + s[5] * n + s[8] * r, this; + } + applyNormalMatrix(e) { + return this.applyMatrix3(e).normalize(); + } + applyMatrix4(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements, o = 1 / (s[3] * t + s[7] * n + s[11] * r + s[15]); + return this.x = (s[0] * t + s[4] * n + s[8] * r + s[12]) * o, this.y = (s[1] * t + s[5] * n + s[9] * r + s[13]) * o, this.z = (s[2] * t + s[6] * n + s[10] * r + s[14]) * o, this; + } + applyQuaternion(e) { + const t = this.x, n = this.y, r = this.z, s = e.x, o = e.y, a = e.z, l = e.w, c = 2 * (o * r - a * n), h = 2 * (a * t - s * r), d = 2 * (s * n - o * t); + return this.x = t + l * c + o * d - a * h, this.y = n + l * h + a * c - s * d, this.z = r + l * d + s * h - o * c, this; + } + project(e) { + return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix); + } + unproject(e) { + return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld); + } + transformDirection(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements; + return this.x = s[0] * t + s[4] * n + s[8] * r, this.y = s[1] * t + s[5] * n + s[9] * r, this.z = s[2] * t + s[6] * n + s[10] * r, this.normalize(); + } + divide(e) { + return this.x /= e.x, this.y /= e.y, this.z /= e.z, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this.z = Math.min(this.z, e.z), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this.z = Math.max(this.z, e.z), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this.z = Math.max(e.z, Math.min(t.z, this.z)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this.z = Math.max(e, Math.min(t, this.z)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this.z = Math.floor(this.z), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this.z = Math.ceil(this.z), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this.z = Math.round(this.z), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this.z = Math.trunc(this.z), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this.z = -this.z, this; + } + dot(e) { + return this.x * e.x + this.y * e.y + this.z * e.z; + } + // TODO lengthSquared? + lengthSq() { + return this.x * this.x + this.y * this.y + this.z * this.z; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this.z += (e.z - this.z) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this.z = e.z + (t.z - e.z) * n, this; + } + cross(e) { + return this.crossVectors(this, e); + } + crossVectors(e, t) { + const n = e.x, r = e.y, s = e.z, o = t.x, a = t.y, l = t.z; + return this.x = r * l - s * a, this.y = s * o - n * l, this.z = n * a - r * o, this; + } + projectOnVector(e) { + const t = e.lengthSq(); + if (t === 0) return this.set(0, 0, 0); + const n = e.dot(this) / t; + return this.copy(e).multiplyScalar(n); + } + projectOnPlane(e) { + return Tr.copy(this).projectOnVector(e), this.sub(Tr); + } + reflect(e) { + return this.sub(Tr.copy(e).multiplyScalar(2 * this.dot(e))); + } + angleTo(e) { + const t = Math.sqrt(this.lengthSq() * e.lengthSq()); + if (t === 0) return Math.PI / 2; + const n = this.dot(e) / t; + return Math.acos(vt(n, -1, 1)); + } + distanceTo(e) { + return Math.sqrt(this.distanceToSquared(e)); + } + distanceToSquared(e) { + const t = this.x - e.x, n = this.y - e.y, r = this.z - e.z; + return t * t + n * n + r * r; + } + manhattanDistanceTo(e) { + return Math.abs(this.x - e.x) + Math.abs(this.y - e.y) + Math.abs(this.z - e.z); + } + setFromSpherical(e) { + return this.setFromSphericalCoords(e.radius, e.phi, e.theta); + } + setFromSphericalCoords(e, t, n) { + const r = Math.sin(t) * e; + return this.x = r * Math.sin(n), this.y = Math.cos(t) * e, this.z = r * Math.cos(n), this; + } + setFromCylindrical(e) { + return this.setFromCylindricalCoords(e.radius, e.theta, e.y); + } + setFromCylindricalCoords(e, t, n) { + return this.x = e * Math.sin(t), this.y = n, this.z = e * Math.cos(t), this; + } + setFromMatrixPosition(e) { + const t = e.elements; + return this.x = t[12], this.y = t[13], this.z = t[14], this; + } + setFromMatrixScale(e) { + const t = this.setFromMatrixColumn(e, 0).length(), n = this.setFromMatrixColumn(e, 1).length(), r = this.setFromMatrixColumn(e, 2).length(); + return this.x = t, this.y = n, this.z = r, this; + } + setFromMatrixColumn(e, t) { + return this.fromArray(e.elements, t * 4); + } + setFromMatrix3Column(e, t) { + return this.fromArray(e.elements, t * 3); + } + setFromEuler(e) { + return this.x = e._x, this.y = e._y, this.z = e._z, this; + } + setFromColor(e) { + return this.x = e.r, this.y = e.g, this.z = e.b, this; + } + equals(e) { + return e.x === this.x && e.y === this.y && e.z === this.z; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this.z = e[t + 2], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e[t + 2] = this.z, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this.z = e.getZ(t), this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this.z = Math.random(), this; + } + randomDirection() { + const e = (Math.random() - 0.5) * 2, t = Math.random() * Math.PI * 2, n = Math.sqrt(1 - e ** 2); + return this.x = n * Math.cos(t), this.y = n * Math.sin(t), this.z = e, this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y, yield this.z; + } +} +const Tr = /* @__PURE__ */ new P(), aa = /* @__PURE__ */ new An(); +class Cn { + constructor(e = new P(1 / 0, 1 / 0, 1 / 0), t = new P(-1 / 0, -1 / 0, -1 / 0)) { + this.isBox3 = !0, this.min = e, this.max = t; + } + set(e, t) { + return this.min.copy(e), this.max.copy(t), this; + } + setFromArray(e) { + this.makeEmpty(); + for (let t = 0, n = e.length; t < n; t += 3) + this.expandByPoint(Lt.fromArray(e, t)); + return this; + } + setFromBufferAttribute(e) { + this.makeEmpty(); + for (let t = 0, n = e.count; t < n; t++) + this.expandByPoint(Lt.fromBufferAttribute(e, t)); + return this; + } + setFromPoints(e) { + this.makeEmpty(); + for (let t = 0, n = e.length; t < n; t++) + this.expandByPoint(e[t]); + return this; + } + setFromCenterAndSize(e, t) { + const n = Lt.copy(t).multiplyScalar(0.5); + return this.min.copy(e).sub(n), this.max.copy(e).add(n), this; + } + setFromObject(e, t = !1) { + return this.makeEmpty(), this.expandByObject(e, t); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.min.copy(e.min), this.max.copy(e.max), this; + } + makeEmpty() { + return this.min.x = this.min.y = this.min.z = 1 / 0, this.max.x = this.max.y = this.max.z = -1 / 0, this; + } + isEmpty() { + return this.max.x < this.min.x || this.max.y < this.min.y || this.max.z < this.min.z; + } + getCenter(e) { + return this.isEmpty() ? e.set(0, 0, 0) : e.addVectors(this.min, this.max).multiplyScalar(0.5); + } + getSize(e) { + return this.isEmpty() ? e.set(0, 0, 0) : e.subVectors(this.max, this.min); + } + expandByPoint(e) { + return this.min.min(e), this.max.max(e), this; + } + expandByVector(e) { + return this.min.sub(e), this.max.add(e), this; + } + expandByScalar(e) { + return this.min.addScalar(-e), this.max.addScalar(e), this; + } + expandByObject(e, t = !1) { + e.updateWorldMatrix(!1, !1); + const n = e.geometry; + if (n !== void 0) { + const s = n.getAttribute("position"); + if (t === !0 && s !== void 0 && e.isInstancedMesh !== !0) + for (let o = 0, a = s.count; o < a; o++) + e.isMesh === !0 ? e.getVertexPosition(o, Lt) : Lt.fromBufferAttribute(s, o), Lt.applyMatrix4(e.matrixWorld), this.expandByPoint(Lt); + else + e.boundingBox !== void 0 ? (e.boundingBox === null && e.computeBoundingBox(), bi.copy(e.boundingBox)) : (n.boundingBox === null && n.computeBoundingBox(), bi.copy(n.boundingBox)), bi.applyMatrix4(e.matrixWorld), this.union(bi); + } + const r = e.children; + for (let s = 0, o = r.length; s < o; s++) + this.expandByObject(r[s], t); + return this; + } + containsPoint(e) { + return !(e.x < this.min.x || e.x > this.max.x || e.y < this.min.y || e.y > this.max.y || e.z < this.min.z || e.z > this.max.z); + } + containsBox(e) { + return this.min.x <= e.min.x && e.max.x <= this.max.x && this.min.y <= e.min.y && e.max.y <= this.max.y && this.min.z <= e.min.z && e.max.z <= this.max.z; + } + getParameter(e, t) { + return t.set( + (e.x - this.min.x) / (this.max.x - this.min.x), + (e.y - this.min.y) / (this.max.y - this.min.y), + (e.z - this.min.z) / (this.max.z - this.min.z) + ); + } + intersectsBox(e) { + return !(e.max.x < this.min.x || e.min.x > this.max.x || e.max.y < this.min.y || e.min.y > this.max.y || e.max.z < this.min.z || e.min.z > this.max.z); + } + intersectsSphere(e) { + return this.clampPoint(e.center, Lt), Lt.distanceToSquared(e.center) <= e.radius * e.radius; + } + intersectsPlane(e) { + let t, n; + return e.normal.x > 0 ? (t = e.normal.x * this.min.x, n = e.normal.x * this.max.x) : (t = e.normal.x * this.max.x, n = e.normal.x * this.min.x), e.normal.y > 0 ? (t += e.normal.y * this.min.y, n += e.normal.y * this.max.y) : (t += e.normal.y * this.max.y, n += e.normal.y * this.min.y), e.normal.z > 0 ? (t += e.normal.z * this.min.z, n += e.normal.z * this.max.z) : (t += e.normal.z * this.max.z, n += e.normal.z * this.min.z), t <= -e.constant && n >= -e.constant; + } + intersectsTriangle(e) { + if (this.isEmpty()) + return !1; + this.getCenter(li), Ai.subVectors(this.max, li), In.subVectors(e.a, li), Nn.subVectors(e.b, li), Fn.subVectors(e.c, li), Jt.subVectors(Nn, In), Qt.subVectors(Fn, Nn), mn.subVectors(In, Fn); + let t = [ + 0, + -Jt.z, + Jt.y, + 0, + -Qt.z, + Qt.y, + 0, + -mn.z, + mn.y, + Jt.z, + 0, + -Jt.x, + Qt.z, + 0, + -Qt.x, + mn.z, + 0, + -mn.x, + -Jt.y, + Jt.x, + 0, + -Qt.y, + Qt.x, + 0, + -mn.y, + mn.x, + 0 + ]; + return !br(t, In, Nn, Fn, Ai) || (t = [1, 0, 0, 0, 1, 0, 0, 0, 1], !br(t, In, Nn, Fn, Ai)) ? !1 : (wi.crossVectors(Jt, Qt), t = [wi.x, wi.y, wi.z], br(t, In, Nn, Fn, Ai)); + } + clampPoint(e, t) { + return t.copy(e).clamp(this.min, this.max); + } + distanceToPoint(e) { + return this.clampPoint(e, Lt).distanceTo(e); + } + getBoundingSphere(e) { + return this.isEmpty() ? e.makeEmpty() : (this.getCenter(e.center), e.radius = this.getSize(Lt).length() * 0.5), e; + } + intersect(e) { + return this.min.max(e.min), this.max.min(e.max), this.isEmpty() && this.makeEmpty(), this; + } + union(e) { + return this.min.min(e.min), this.max.max(e.max), this; + } + applyMatrix4(e) { + return this.isEmpty() ? this : (kt[0].set(this.min.x, this.min.y, this.min.z).applyMatrix4(e), kt[1].set(this.min.x, this.min.y, this.max.z).applyMatrix4(e), kt[2].set(this.min.x, this.max.y, this.min.z).applyMatrix4(e), kt[3].set(this.min.x, this.max.y, this.max.z).applyMatrix4(e), kt[4].set(this.max.x, this.min.y, this.min.z).applyMatrix4(e), kt[5].set(this.max.x, this.min.y, this.max.z).applyMatrix4(e), kt[6].set(this.max.x, this.max.y, this.min.z).applyMatrix4(e), kt[7].set(this.max.x, this.max.y, this.max.z).applyMatrix4(e), this.setFromPoints(kt), this); + } + translate(e) { + return this.min.add(e), this.max.add(e), this; + } + equals(e) { + return e.min.equals(this.min) && e.max.equals(this.max); + } +} +const kt = [ + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P() +], Lt = /* @__PURE__ */ new P(), bi = /* @__PURE__ */ new Cn(), In = /* @__PURE__ */ new P(), Nn = /* @__PURE__ */ new P(), Fn = /* @__PURE__ */ new P(), Jt = /* @__PURE__ */ new P(), Qt = /* @__PURE__ */ new P(), mn = /* @__PURE__ */ new P(), li = /* @__PURE__ */ new P(), Ai = /* @__PURE__ */ new P(), wi = /* @__PURE__ */ new P(), _n = /* @__PURE__ */ new P(); +function br(i, e, t, n, r) { + for (let s = 0, o = i.length - 3; s <= o; s += 3) { + _n.fromArray(i, s); + const a = r.x * Math.abs(_n.x) + r.y * Math.abs(_n.y) + r.z * Math.abs(_n.z), l = e.dot(_n), c = t.dot(_n), h = n.dot(_n); + if (Math.max(-Math.max(l, c, h), Math.min(l, c, h)) > a) + return !1; + } + return !0; +} +const Ql = /* @__PURE__ */ new Cn(), ci = /* @__PURE__ */ new P(), Ar = /* @__PURE__ */ new P(); +class xi { + constructor(e = new P(), t = -1) { + this.isSphere = !0, this.center = e, this.radius = t; + } + set(e, t) { + return this.center.copy(e), this.radius = t, this; + } + setFromPoints(e, t) { + const n = this.center; + t !== void 0 ? n.copy(t) : Ql.setFromPoints(e).getCenter(n); + let r = 0; + for (let s = 0, o = e.length; s < o; s++) + r = Math.max(r, n.distanceToSquared(e[s])); + return this.radius = Math.sqrt(r), this; + } + copy(e) { + return this.center.copy(e.center), this.radius = e.radius, this; + } + isEmpty() { + return this.radius < 0; + } + makeEmpty() { + return this.center.set(0, 0, 0), this.radius = -1, this; + } + containsPoint(e) { + return e.distanceToSquared(this.center) <= this.radius * this.radius; + } + distanceToPoint(e) { + return e.distanceTo(this.center) - this.radius; + } + intersectsSphere(e) { + const t = this.radius + e.radius; + return e.center.distanceToSquared(this.center) <= t * t; + } + intersectsBox(e) { + return e.intersectsSphere(this); + } + intersectsPlane(e) { + return Math.abs(e.distanceToPoint(this.center)) <= this.radius; + } + clampPoint(e, t) { + const n = this.center.distanceToSquared(e); + return t.copy(e), n > this.radius * this.radius && (t.sub(this.center).normalize(), t.multiplyScalar(this.radius).add(this.center)), t; + } + getBoundingBox(e) { + return this.isEmpty() ? (e.makeEmpty(), e) : (e.set(this.center, this.center), e.expandByScalar(this.radius), e); + } + applyMatrix4(e) { + return this.center.applyMatrix4(e), this.radius = this.radius * e.getMaxScaleOnAxis(), this; + } + translate(e) { + return this.center.add(e), this; + } + expandByPoint(e) { + if (this.isEmpty()) + return this.center.copy(e), this.radius = 0, this; + ci.subVectors(e, this.center); + const t = ci.lengthSq(); + if (t > this.radius * this.radius) { + const n = Math.sqrt(t), r = (n - this.radius) * 0.5; + this.center.addScaledVector(ci, r / n), this.radius += r; + } + return this; + } + union(e) { + return e.isEmpty() ? this : this.isEmpty() ? (this.copy(e), this) : (this.center.equals(e.center) === !0 ? this.radius = Math.max(this.radius, e.radius) : (Ar.subVectors(e.center, this.center).setLength(e.radius), this.expandByPoint(ci.copy(e.center).add(Ar)), this.expandByPoint(ci.copy(e.center).sub(Ar))), this); + } + equals(e) { + return e.center.equals(this.center) && e.radius === this.radius; + } + clone() { + return new this.constructor().copy(this); + } +} +const Wt = /* @__PURE__ */ new P(), wr = /* @__PURE__ */ new P(), Ri = /* @__PURE__ */ new P(), en = /* @__PURE__ */ new P(), Rr = /* @__PURE__ */ new P(), Ci = /* @__PURE__ */ new P(), Cr = /* @__PURE__ */ new P(); +class To { + constructor(e = new P(), t = new P(0, 0, -1)) { + this.origin = e, this.direction = t; + } + set(e, t) { + return this.origin.copy(e), this.direction.copy(t), this; + } + copy(e) { + return this.origin.copy(e.origin), this.direction.copy(e.direction), this; + } + at(e, t) { + return t.copy(this.origin).addScaledVector(this.direction, e); + } + lookAt(e) { + return this.direction.copy(e).sub(this.origin).normalize(), this; + } + recast(e) { + return this.origin.copy(this.at(e, Wt)), this; + } + closestPointToPoint(e, t) { + t.subVectors(e, this.origin); + const n = t.dot(this.direction); + return n < 0 ? t.copy(this.origin) : t.copy(this.origin).addScaledVector(this.direction, n); + } + distanceToPoint(e) { + return Math.sqrt(this.distanceSqToPoint(e)); + } + distanceSqToPoint(e) { + const t = Wt.subVectors(e, this.origin).dot(this.direction); + return t < 0 ? this.origin.distanceToSquared(e) : (Wt.copy(this.origin).addScaledVector(this.direction, t), Wt.distanceToSquared(e)); + } + distanceSqToSegment(e, t, n, r) { + wr.copy(e).add(t).multiplyScalar(0.5), Ri.copy(t).sub(e).normalize(), en.copy(this.origin).sub(wr); + const s = e.distanceTo(t) * 0.5, o = -this.direction.dot(Ri), a = en.dot(this.direction), l = -en.dot(Ri), c = en.lengthSq(), h = Math.abs(1 - o * o); + let d, p, m, g; + if (h > 0) + if (d = o * l - a, p = o * a - l, g = s * h, d >= 0) + if (p >= -g) + if (p <= g) { + const v = 1 / h; + d *= v, p *= v, m = d * (d + o * p + 2 * a) + p * (o * d + p + 2 * l) + c; + } else + p = s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + else + p = -s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + else + p <= -g ? (d = Math.max(0, -(-o * s + a)), p = d > 0 ? -s : Math.min(Math.max(-s, -l), s), m = -d * d + p * (p + 2 * l) + c) : p <= g ? (d = 0, p = Math.min(Math.max(-s, -l), s), m = p * (p + 2 * l) + c) : (d = Math.max(0, -(o * s + a)), p = d > 0 ? s : Math.min(Math.max(-s, -l), s), m = -d * d + p * (p + 2 * l) + c); + else + p = o > 0 ? -s : s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + return n && n.copy(this.origin).addScaledVector(this.direction, d), r && r.copy(wr).addScaledVector(Ri, p), m; + } + intersectSphere(e, t) { + Wt.subVectors(e.center, this.origin); + const n = Wt.dot(this.direction), r = Wt.dot(Wt) - n * n, s = e.radius * e.radius; + if (r > s) return null; + const o = Math.sqrt(s - r), a = n - o, l = n + o; + return l < 0 ? null : a < 0 ? this.at(l, t) : this.at(a, t); + } + intersectsSphere(e) { + return this.distanceSqToPoint(e.center) <= e.radius * e.radius; + } + distanceToPlane(e) { + const t = e.normal.dot(this.direction); + if (t === 0) + return e.distanceToPoint(this.origin) === 0 ? 0 : null; + const n = -(this.origin.dot(e.normal) + e.constant) / t; + return n >= 0 ? n : null; + } + intersectPlane(e, t) { + const n = this.distanceToPlane(e); + return n === null ? null : this.at(n, t); + } + intersectsPlane(e) { + const t = e.distanceToPoint(this.origin); + return t === 0 || e.normal.dot(this.direction) * t < 0; + } + intersectBox(e, t) { + let n, r, s, o, a, l; + const c = 1 / this.direction.x, h = 1 / this.direction.y, d = 1 / this.direction.z, p = this.origin; + return c >= 0 ? (n = (e.min.x - p.x) * c, r = (e.max.x - p.x) * c) : (n = (e.max.x - p.x) * c, r = (e.min.x - p.x) * c), h >= 0 ? (s = (e.min.y - p.y) * h, o = (e.max.y - p.y) * h) : (s = (e.max.y - p.y) * h, o = (e.min.y - p.y) * h), n > o || s > r || ((s > n || isNaN(n)) && (n = s), (o < r || isNaN(r)) && (r = o), d >= 0 ? (a = (e.min.z - p.z) * d, l = (e.max.z - p.z) * d) : (a = (e.max.z - p.z) * d, l = (e.min.z - p.z) * d), n > l || a > r) || ((a > n || n !== n) && (n = a), (l < r || r !== r) && (r = l), r < 0) ? null : this.at(n >= 0 ? n : r, t); + } + intersectsBox(e) { + return this.intersectBox(e, Wt) !== null; + } + intersectTriangle(e, t, n, r, s) { + Rr.subVectors(t, e), Ci.subVectors(n, e), Cr.crossVectors(Rr, Ci); + let o = this.direction.dot(Cr), a; + if (o > 0) { + if (r) return null; + a = 1; + } else if (o < 0) + a = -1, o = -o; + else + return null; + en.subVectors(this.origin, e); + const l = a * this.direction.dot(Ci.crossVectors(en, Ci)); + if (l < 0) + return null; + const c = a * this.direction.dot(Rr.cross(en)); + if (c < 0 || l + c > o) + return null; + const h = -a * en.dot(Cr); + return h < 0 ? null : this.at(h / o, s); + } + applyMatrix4(e) { + return this.origin.applyMatrix4(e), this.direction.transformDirection(e), this; + } + equals(e) { + return e.origin.equals(this.origin) && e.direction.equals(this.direction); + } + clone() { + return new this.constructor().copy(this); + } +} +class Qe { + constructor(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f) { + Qe.prototype.isMatrix4 = !0, this.elements = [ + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ], e !== void 0 && this.set(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f); + } + set(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f) { + const u = this.elements; + return u[0] = e, u[4] = t, u[8] = n, u[12] = r, u[1] = s, u[5] = o, u[9] = a, u[13] = l, u[2] = c, u[6] = h, u[10] = d, u[14] = p, u[3] = m, u[7] = g, u[11] = v, u[15] = f, this; + } + identity() { + return this.set( + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + clone() { + return new Qe().fromArray(this.elements); + } + copy(e) { + const t = this.elements, n = e.elements; + return t[0] = n[0], t[1] = n[1], t[2] = n[2], t[3] = n[3], t[4] = n[4], t[5] = n[5], t[6] = n[6], t[7] = n[7], t[8] = n[8], t[9] = n[9], t[10] = n[10], t[11] = n[11], t[12] = n[12], t[13] = n[13], t[14] = n[14], t[15] = n[15], this; + } + copyPosition(e) { + const t = this.elements, n = e.elements; + return t[12] = n[12], t[13] = n[13], t[14] = n[14], this; + } + setFromMatrix3(e) { + const t = e.elements; + return this.set( + t[0], + t[3], + t[6], + 0, + t[1], + t[4], + t[7], + 0, + t[2], + t[5], + t[8], + 0, + 0, + 0, + 0, + 1 + ), this; + } + extractBasis(e, t, n) { + return e.setFromMatrixColumn(this, 0), t.setFromMatrixColumn(this, 1), n.setFromMatrixColumn(this, 2), this; + } + makeBasis(e, t, n) { + return this.set( + e.x, + t.x, + n.x, + 0, + e.y, + t.y, + n.y, + 0, + e.z, + t.z, + n.z, + 0, + 0, + 0, + 0, + 1 + ), this; + } + extractRotation(e) { + const t = this.elements, n = e.elements, r = 1 / On.setFromMatrixColumn(e, 0).length(), s = 1 / On.setFromMatrixColumn(e, 1).length(), o = 1 / On.setFromMatrixColumn(e, 2).length(); + return t[0] = n[0] * r, t[1] = n[1] * r, t[2] = n[2] * r, t[3] = 0, t[4] = n[4] * s, t[5] = n[5] * s, t[6] = n[6] * s, t[7] = 0, t[8] = n[8] * o, t[9] = n[9] * o, t[10] = n[10] * o, t[11] = 0, t[12] = 0, t[13] = 0, t[14] = 0, t[15] = 1, this; + } + makeRotationFromEuler(e) { + const t = this.elements, n = e.x, r = e.y, s = e.z, o = Math.cos(n), a = Math.sin(n), l = Math.cos(r), c = Math.sin(r), h = Math.cos(s), d = Math.sin(s); + if (e.order === "XYZ") { + const p = o * h, m = o * d, g = a * h, v = a * d; + t[0] = l * h, t[4] = -l * d, t[8] = c, t[1] = m + g * c, t[5] = p - v * c, t[9] = -a * l, t[2] = v - p * c, t[6] = g + m * c, t[10] = o * l; + } else if (e.order === "YXZ") { + const p = l * h, m = l * d, g = c * h, v = c * d; + t[0] = p + v * a, t[4] = g * a - m, t[8] = o * c, t[1] = o * d, t[5] = o * h, t[9] = -a, t[2] = m * a - g, t[6] = v + p * a, t[10] = o * l; + } else if (e.order === "ZXY") { + const p = l * h, m = l * d, g = c * h, v = c * d; + t[0] = p - v * a, t[4] = -o * d, t[8] = g + m * a, t[1] = m + g * a, t[5] = o * h, t[9] = v - p * a, t[2] = -o * c, t[6] = a, t[10] = o * l; + } else if (e.order === "ZYX") { + const p = o * h, m = o * d, g = a * h, v = a * d; + t[0] = l * h, t[4] = g * c - m, t[8] = p * c + v, t[1] = l * d, t[5] = v * c + p, t[9] = m * c - g, t[2] = -c, t[6] = a * l, t[10] = o * l; + } else if (e.order === "YZX") { + const p = o * l, m = o * c, g = a * l, v = a * c; + t[0] = l * h, t[4] = v - p * d, t[8] = g * d + m, t[1] = d, t[5] = o * h, t[9] = -a * h, t[2] = -c * h, t[6] = m * d + g, t[10] = p - v * d; + } else if (e.order === "XZY") { + const p = o * l, m = o * c, g = a * l, v = a * c; + t[0] = l * h, t[4] = -d, t[8] = c * h, t[1] = p * d + v, t[5] = o * h, t[9] = m * d - g, t[2] = g * d - m, t[6] = a * h, t[10] = v * d + p; + } + return t[3] = 0, t[7] = 0, t[11] = 0, t[12] = 0, t[13] = 0, t[14] = 0, t[15] = 1, this; + } + makeRotationFromQuaternion(e) { + return this.compose(ec, e, tc); + } + lookAt(e, t, n) { + const r = this.elements; + return Et.subVectors(e, t), Et.lengthSq() === 0 && (Et.z = 1), Et.normalize(), tn.crossVectors(n, Et), tn.lengthSq() === 0 && (Math.abs(n.z) === 1 ? Et.x += 1e-4 : Et.z += 1e-4, Et.normalize(), tn.crossVectors(n, Et)), tn.normalize(), Li.crossVectors(Et, tn), r[0] = tn.x, r[4] = Li.x, r[8] = Et.x, r[1] = tn.y, r[5] = Li.y, r[9] = Et.y, r[2] = tn.z, r[6] = Li.z, r[10] = Et.z, this; + } + multiply(e) { + return this.multiplyMatrices(this, e); + } + premultiply(e) { + return this.multiplyMatrices(e, this); + } + multiplyMatrices(e, t) { + const n = e.elements, r = t.elements, s = this.elements, o = n[0], a = n[4], l = n[8], c = n[12], h = n[1], d = n[5], p = n[9], m = n[13], g = n[2], v = n[6], f = n[10], u = n[14], b = n[3], S = n[7], R = n[11], D = n[15], C = r[0], A = r[4], W = r[8], x = r[12], y = r[1], z = r[5], Z = r[9], re = r[13], L = r[2], F = r[6], V = r[10], Y = r[14], X = r[3], k = r[7], q = r[11], Q = r[15]; + return s[0] = o * C + a * y + l * L + c * X, s[4] = o * A + a * z + l * F + c * k, s[8] = o * W + a * Z + l * V + c * q, s[12] = o * x + a * re + l * Y + c * Q, s[1] = h * C + d * y + p * L + m * X, s[5] = h * A + d * z + p * F + m * k, s[9] = h * W + d * Z + p * V + m * q, s[13] = h * x + d * re + p * Y + m * Q, s[2] = g * C + v * y + f * L + u * X, s[6] = g * A + v * z + f * F + u * k, s[10] = g * W + v * Z + f * V + u * q, s[14] = g * x + v * re + f * Y + u * Q, s[3] = b * C + S * y + R * L + D * X, s[7] = b * A + S * z + R * F + D * k, s[11] = b * W + S * Z + R * V + D * q, s[15] = b * x + S * re + R * Y + D * Q, this; + } + multiplyScalar(e) { + const t = this.elements; + return t[0] *= e, t[4] *= e, t[8] *= e, t[12] *= e, t[1] *= e, t[5] *= e, t[9] *= e, t[13] *= e, t[2] *= e, t[6] *= e, t[10] *= e, t[14] *= e, t[3] *= e, t[7] *= e, t[11] *= e, t[15] *= e, this; + } + determinant() { + const e = this.elements, t = e[0], n = e[4], r = e[8], s = e[12], o = e[1], a = e[5], l = e[9], c = e[13], h = e[2], d = e[6], p = e[10], m = e[14], g = e[3], v = e[7], f = e[11], u = e[15]; + return g * (+s * l * d - r * c * d - s * a * p + n * c * p + r * a * m - n * l * m) + v * (+t * l * m - t * c * p + s * o * p - r * o * m + r * c * h - s * l * h) + f * (+t * c * d - t * a * m - s * o * d + n * o * m + s * a * h - n * c * h) + u * (-r * a * h - t * l * d + t * a * p + r * o * d - n * o * p + n * l * h); + } + transpose() { + const e = this.elements; + let t; + return t = e[1], e[1] = e[4], e[4] = t, t = e[2], e[2] = e[8], e[8] = t, t = e[6], e[6] = e[9], e[9] = t, t = e[3], e[3] = e[12], e[12] = t, t = e[7], e[7] = e[13], e[13] = t, t = e[11], e[11] = e[14], e[14] = t, this; + } + setPosition(e, t, n) { + const r = this.elements; + return e.isVector3 ? (r[12] = e.x, r[13] = e.y, r[14] = e.z) : (r[12] = e, r[13] = t, r[14] = n), this; + } + invert() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8], d = e[9], p = e[10], m = e[11], g = e[12], v = e[13], f = e[14], u = e[15], b = d * f * c - v * p * c + v * l * m - a * f * m - d * l * u + a * p * u, S = g * p * c - h * f * c - g * l * m + o * f * m + h * l * u - o * p * u, R = h * v * c - g * d * c + g * a * m - o * v * m - h * a * u + o * d * u, D = g * d * l - h * v * l - g * a * p + o * v * p + h * a * f - o * d * f, C = t * b + n * S + r * R + s * D; + if (C === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + const A = 1 / C; + return e[0] = b * A, e[1] = (v * p * s - d * f * s - v * r * m + n * f * m + d * r * u - n * p * u) * A, e[2] = (a * f * s - v * l * s + v * r * c - n * f * c - a * r * u + n * l * u) * A, e[3] = (d * l * s - a * p * s - d * r * c + n * p * c + a * r * m - n * l * m) * A, e[4] = S * A, e[5] = (h * f * s - g * p * s + g * r * m - t * f * m - h * r * u + t * p * u) * A, e[6] = (g * l * s - o * f * s - g * r * c + t * f * c + o * r * u - t * l * u) * A, e[7] = (o * p * s - h * l * s + h * r * c - t * p * c - o * r * m + t * l * m) * A, e[8] = R * A, e[9] = (g * d * s - h * v * s - g * n * m + t * v * m + h * n * u - t * d * u) * A, e[10] = (o * v * s - g * a * s + g * n * c - t * v * c - o * n * u + t * a * u) * A, e[11] = (h * a * s - o * d * s - h * n * c + t * d * c + o * n * m - t * a * m) * A, e[12] = D * A, e[13] = (h * v * r - g * d * r + g * n * p - t * v * p - h * n * f + t * d * f) * A, e[14] = (g * a * r - o * v * r - g * n * l + t * v * l + o * n * f - t * a * f) * A, e[15] = (o * d * r - h * a * r + h * n * l - t * d * l - o * n * p + t * a * p) * A, this; + } + scale(e) { + const t = this.elements, n = e.x, r = e.y, s = e.z; + return t[0] *= n, t[4] *= r, t[8] *= s, t[1] *= n, t[5] *= r, t[9] *= s, t[2] *= n, t[6] *= r, t[10] *= s, t[3] *= n, t[7] *= r, t[11] *= s, this; + } + getMaxScaleOnAxis() { + const e = this.elements, t = e[0] * e[0] + e[1] * e[1] + e[2] * e[2], n = e[4] * e[4] + e[5] * e[5] + e[6] * e[6], r = e[8] * e[8] + e[9] * e[9] + e[10] * e[10]; + return Math.sqrt(Math.max(t, n, r)); + } + makeTranslation(e, t, n) { + return e.isVector3 ? this.set( + 1, + 0, + 0, + e.x, + 0, + 1, + 0, + e.y, + 0, + 0, + 1, + e.z, + 0, + 0, + 0, + 1 + ) : this.set( + 1, + 0, + 0, + e, + 0, + 1, + 0, + t, + 0, + 0, + 1, + n, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationX(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + 1, + 0, + 0, + 0, + 0, + t, + -n, + 0, + 0, + n, + t, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationY(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + 0, + n, + 0, + 0, + 1, + 0, + 0, + -n, + 0, + t, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationZ(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + -n, + 0, + 0, + n, + t, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationAxis(e, t) { + const n = Math.cos(t), r = Math.sin(t), s = 1 - n, o = e.x, a = e.y, l = e.z, c = s * o, h = s * a; + return this.set( + c * o + n, + c * a - r * l, + c * l + r * a, + 0, + c * a + r * l, + h * a + n, + h * l - r * o, + 0, + c * l - r * a, + h * l + r * o, + s * l * l + n, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeScale(e, t, n) { + return this.set( + e, + 0, + 0, + 0, + 0, + t, + 0, + 0, + 0, + 0, + n, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeShear(e, t, n, r, s, o) { + return this.set( + 1, + n, + s, + 0, + e, + 1, + o, + 0, + t, + r, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + compose(e, t, n) { + const r = this.elements, s = t._x, o = t._y, a = t._z, l = t._w, c = s + s, h = o + o, d = a + a, p = s * c, m = s * h, g = s * d, v = o * h, f = o * d, u = a * d, b = l * c, S = l * h, R = l * d, D = n.x, C = n.y, A = n.z; + return r[0] = (1 - (v + u)) * D, r[1] = (m + R) * D, r[2] = (g - S) * D, r[3] = 0, r[4] = (m - R) * C, r[5] = (1 - (p + u)) * C, r[6] = (f + b) * C, r[7] = 0, r[8] = (g + S) * A, r[9] = (f - b) * A, r[10] = (1 - (p + v)) * A, r[11] = 0, r[12] = e.x, r[13] = e.y, r[14] = e.z, r[15] = 1, this; + } + decompose(e, t, n) { + const r = this.elements; + let s = On.set(r[0], r[1], r[2]).length(); + const o = On.set(r[4], r[5], r[6]).length(), a = On.set(r[8], r[9], r[10]).length(); + this.determinant() < 0 && (s = -s), e.x = r[12], e.y = r[13], e.z = r[14], Pt.copy(this); + const c = 1 / s, h = 1 / o, d = 1 / a; + return Pt.elements[0] *= c, Pt.elements[1] *= c, Pt.elements[2] *= c, Pt.elements[4] *= h, Pt.elements[5] *= h, Pt.elements[6] *= h, Pt.elements[8] *= d, Pt.elements[9] *= d, Pt.elements[10] *= d, t.setFromRotationMatrix(Pt), n.x = s, n.y = o, n.z = a, this; + } + makePerspective(e, t, n, r, s, o, a = Zt) { + const l = this.elements, c = 2 * s / (t - e), h = 2 * s / (n - r), d = (t + e) / (t - e), p = (n + r) / (n - r); + let m, g; + if (a === Zt) + m = -(o + s) / (o - s), g = -2 * o * s / (o - s); + else if (a === tr) + m = -o / (o - s), g = -o * s / (o - s); + else + throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: " + a); + return l[0] = c, l[4] = 0, l[8] = d, l[12] = 0, l[1] = 0, l[5] = h, l[9] = p, l[13] = 0, l[2] = 0, l[6] = 0, l[10] = m, l[14] = g, l[3] = 0, l[7] = 0, l[11] = -1, l[15] = 0, this; + } + makeOrthographic(e, t, n, r, s, o, a = Zt) { + const l = this.elements, c = 1 / (t - e), h = 1 / (n - r), d = 1 / (o - s), p = (t + e) * c, m = (n + r) * h; + let g, v; + if (a === Zt) + g = (o + s) * d, v = -2 * d; + else if (a === tr) + g = s * d, v = -1 * d; + else + throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: " + a); + return l[0] = 2 * c, l[4] = 0, l[8] = 0, l[12] = -p, l[1] = 0, l[5] = 2 * h, l[9] = 0, l[13] = -m, l[2] = 0, l[6] = 0, l[10] = v, l[14] = -g, l[3] = 0, l[7] = 0, l[11] = 0, l[15] = 1, this; + } + equals(e) { + const t = this.elements, n = e.elements; + for (let r = 0; r < 16; r++) + if (t[r] !== n[r]) return !1; + return !0; + } + fromArray(e, t = 0) { + for (let n = 0; n < 16; n++) + this.elements[n] = e[n + t]; + return this; + } + toArray(e = [], t = 0) { + const n = this.elements; + return e[t] = n[0], e[t + 1] = n[1], e[t + 2] = n[2], e[t + 3] = n[3], e[t + 4] = n[4], e[t + 5] = n[5], e[t + 6] = n[6], e[t + 7] = n[7], e[t + 8] = n[8], e[t + 9] = n[9], e[t + 10] = n[10], e[t + 11] = n[11], e[t + 12] = n[12], e[t + 13] = n[13], e[t + 14] = n[14], e[t + 15] = n[15], e; + } +} +const On = /* @__PURE__ */ new P(), Pt = /* @__PURE__ */ new Qe(), ec = /* @__PURE__ */ new P(0, 0, 0), tc = /* @__PURE__ */ new P(1, 1, 1), tn = /* @__PURE__ */ new P(), Li = /* @__PURE__ */ new P(), Et = /* @__PURE__ */ new P(), oa = /* @__PURE__ */ new Qe(), la = /* @__PURE__ */ new An(); +class ar { + constructor(e = 0, t = 0, n = 0, r = ar.DEFAULT_ORDER) { + this.isEuler = !0, this._x = e, this._y = t, this._z = n, this._order = r; + } + get x() { + return this._x; + } + set x(e) { + this._x = e, this._onChangeCallback(); + } + get y() { + return this._y; + } + set y(e) { + this._y = e, this._onChangeCallback(); + } + get z() { + return this._z; + } + set z(e) { + this._z = e, this._onChangeCallback(); + } + get order() { + return this._order; + } + set order(e) { + this._order = e, this._onChangeCallback(); + } + set(e, t, n, r = this._order) { + return this._x = e, this._y = t, this._z = n, this._order = r, this._onChangeCallback(), this; + } + clone() { + return new this.constructor(this._x, this._y, this._z, this._order); + } + copy(e) { + return this._x = e._x, this._y = e._y, this._z = e._z, this._order = e._order, this._onChangeCallback(), this; + } + setFromRotationMatrix(e, t = this._order, n = !0) { + const r = e.elements, s = r[0], o = r[4], a = r[8], l = r[1], c = r[5], h = r[9], d = r[2], p = r[6], m = r[10]; + switch (t) { + case "XYZ": + this._y = Math.asin(vt(a, -1, 1)), Math.abs(a) < 0.9999999 ? (this._x = Math.atan2(-h, m), this._z = Math.atan2(-o, s)) : (this._x = Math.atan2(p, c), this._z = 0); + break; + case "YXZ": + this._x = Math.asin(-vt(h, -1, 1)), Math.abs(h) < 0.9999999 ? (this._y = Math.atan2(a, m), this._z = Math.atan2(l, c)) : (this._y = Math.atan2(-d, s), this._z = 0); + break; + case "ZXY": + this._x = Math.asin(vt(p, -1, 1)), Math.abs(p) < 0.9999999 ? (this._y = Math.atan2(-d, m), this._z = Math.atan2(-o, c)) : (this._y = 0, this._z = Math.atan2(l, s)); + break; + case "ZYX": + this._y = Math.asin(-vt(d, -1, 1)), Math.abs(d) < 0.9999999 ? (this._x = Math.atan2(p, m), this._z = Math.atan2(l, s)) : (this._x = 0, this._z = Math.atan2(-o, c)); + break; + case "YZX": + this._z = Math.asin(vt(l, -1, 1)), Math.abs(l) < 0.9999999 ? (this._x = Math.atan2(-h, c), this._y = Math.atan2(-d, s)) : (this._x = 0, this._y = Math.atan2(a, m)); + break; + case "XZY": + this._z = Math.asin(-vt(o, -1, 1)), Math.abs(o) < 0.9999999 ? (this._x = Math.atan2(p, c), this._y = Math.atan2(a, s)) : (this._x = Math.atan2(-h, m), this._y = 0); + break; + default: + console.warn("THREE.Euler: .setFromRotationMatrix() encountered an unknown order: " + t); + } + return this._order = t, n === !0 && this._onChangeCallback(), this; + } + setFromQuaternion(e, t, n) { + return oa.makeRotationFromQuaternion(e), this.setFromRotationMatrix(oa, t, n); + } + setFromVector3(e, t = this._order) { + return this.set(e.x, e.y, e.z, t); + } + reorder(e) { + return la.setFromEuler(this), this.setFromQuaternion(la, e); + } + equals(e) { + return e._x === this._x && e._y === this._y && e._z === this._z && e._order === this._order; + } + fromArray(e) { + return this._x = e[0], this._y = e[1], this._z = e[2], e[3] !== void 0 && (this._order = e[3]), this._onChangeCallback(), this; + } + toArray(e = [], t = 0) { + return e[t] = this._x, e[t + 1] = this._y, e[t + 2] = this._z, e[t + 3] = this._order, e; + } + _onChange(e) { + return this._onChangeCallback = e, this; + } + _onChangeCallback() { + } + *[Symbol.iterator]() { + yield this._x, yield this._y, yield this._z, yield this._order; + } +} +ar.DEFAULT_ORDER = "XYZ"; +class bo { + constructor() { + this.mask = 1; + } + set(e) { + this.mask = (1 << e | 0) >>> 0; + } + enable(e) { + this.mask |= 1 << e | 0; + } + enableAll() { + this.mask = -1; + } + toggle(e) { + this.mask ^= 1 << e | 0; + } + disable(e) { + this.mask &= ~(1 << e | 0); + } + disableAll() { + this.mask = 0; + } + test(e) { + return (this.mask & e.mask) !== 0; + } + isEnabled(e) { + return (this.mask & (1 << e | 0)) !== 0; + } +} +let nc = 0; +const ca = /* @__PURE__ */ new P(), Bn = /* @__PURE__ */ new An(), Xt = /* @__PURE__ */ new Qe(), Pi = /* @__PURE__ */ new P(), ui = /* @__PURE__ */ new P(), ic = /* @__PURE__ */ new P(), rc = /* @__PURE__ */ new An(), ua = /* @__PURE__ */ new P(1, 0, 0), ha = /* @__PURE__ */ new P(0, 1, 0), da = /* @__PURE__ */ new P(0, 0, 1), sc = { type: "added" }, ac = { type: "removed" }; +class dt extends Rn { + constructor() { + super(), this.isObject3D = !0, Object.defineProperty(this, "id", { value: nc++ }), this.uuid = vi(), this.name = "", this.type = "Object3D", this.parent = null, this.children = [], this.up = dt.DEFAULT_UP.clone(); + const e = new P(), t = new ar(), n = new An(), r = new P(1, 1, 1); + function s() { + n.setFromEuler(t, !1); + } + function o() { + t.setFromQuaternion(n, void 0, !1); + } + t._onChange(s), n._onChange(o), Object.defineProperties(this, { + position: { + configurable: !0, + enumerable: !0, + value: e + }, + rotation: { + configurable: !0, + enumerable: !0, + value: t + }, + quaternion: { + configurable: !0, + enumerable: !0, + value: n + }, + scale: { + configurable: !0, + enumerable: !0, + value: r + }, + modelViewMatrix: { + value: new Qe() + }, + normalMatrix: { + value: new Ve() + } + }), this.matrix = new Qe(), this.matrixWorld = new Qe(), this.matrixAutoUpdate = dt.DEFAULT_MATRIX_AUTO_UPDATE, this.matrixWorldAutoUpdate = dt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE, this.matrixWorldNeedsUpdate = !1, this.layers = new bo(), this.visible = !0, this.castShadow = !1, this.receiveShadow = !1, this.frustumCulled = !0, this.renderOrder = 0, this.animations = [], this.userData = {}; + } + onBeforeShadow() { + } + onAfterShadow() { + } + onBeforeRender() { + } + onAfterRender() { + } + applyMatrix4(e) { + this.matrixAutoUpdate && this.updateMatrix(), this.matrix.premultiply(e), this.matrix.decompose(this.position, this.quaternion, this.scale); + } + applyQuaternion(e) { + return this.quaternion.premultiply(e), this; + } + setRotationFromAxisAngle(e, t) { + this.quaternion.setFromAxisAngle(e, t); + } + setRotationFromEuler(e) { + this.quaternion.setFromEuler(e, !0); + } + setRotationFromMatrix(e) { + this.quaternion.setFromRotationMatrix(e); + } + setRotationFromQuaternion(e) { + this.quaternion.copy(e); + } + rotateOnAxis(e, t) { + return Bn.setFromAxisAngle(e, t), this.quaternion.multiply(Bn), this; + } + rotateOnWorldAxis(e, t) { + return Bn.setFromAxisAngle(e, t), this.quaternion.premultiply(Bn), this; + } + rotateX(e) { + return this.rotateOnAxis(ua, e); + } + rotateY(e) { + return this.rotateOnAxis(ha, e); + } + rotateZ(e) { + return this.rotateOnAxis(da, e); + } + translateOnAxis(e, t) { + return ca.copy(e).applyQuaternion(this.quaternion), this.position.add(ca.multiplyScalar(t)), this; + } + translateX(e) { + return this.translateOnAxis(ua, e); + } + translateY(e) { + return this.translateOnAxis(ha, e); + } + translateZ(e) { + return this.translateOnAxis(da, e); + } + localToWorld(e) { + return this.updateWorldMatrix(!0, !1), e.applyMatrix4(this.matrixWorld); + } + worldToLocal(e) { + return this.updateWorldMatrix(!0, !1), e.applyMatrix4(Xt.copy(this.matrixWorld).invert()); + } + lookAt(e, t, n) { + e.isVector3 ? Pi.copy(e) : Pi.set(e, t, n); + const r = this.parent; + this.updateWorldMatrix(!0, !1), ui.setFromMatrixPosition(this.matrixWorld), this.isCamera || this.isLight ? Xt.lookAt(ui, Pi, this.up) : Xt.lookAt(Pi, ui, this.up), this.quaternion.setFromRotationMatrix(Xt), r && (Xt.extractRotation(r.matrixWorld), Bn.setFromRotationMatrix(Xt), this.quaternion.premultiply(Bn.invert())); + } + add(e) { + if (arguments.length > 1) { + for (let t = 0; t < arguments.length; t++) + this.add(arguments[t]); + return this; + } + return e === this ? (console.error("THREE.Object3D.add: object can't be added as a child of itself.", e), this) : (e && e.isObject3D ? (e.parent !== null && e.parent.remove(e), e.parent = this, this.children.push(e), e.dispatchEvent(sc)) : console.error("THREE.Object3D.add: object not an instance of THREE.Object3D.", e), this); + } + remove(e) { + if (arguments.length > 1) { + for (let n = 0; n < arguments.length; n++) + this.remove(arguments[n]); + return this; + } + const t = this.children.indexOf(e); + return t !== -1 && (e.parent = null, this.children.splice(t, 1), e.dispatchEvent(ac)), this; + } + removeFromParent() { + const e = this.parent; + return e !== null && e.remove(this), this; + } + clear() { + return this.remove(...this.children); + } + attach(e) { + return this.updateWorldMatrix(!0, !1), Xt.copy(this.matrixWorld).invert(), e.parent !== null && (e.parent.updateWorldMatrix(!0, !1), Xt.multiply(e.parent.matrixWorld)), e.applyMatrix4(Xt), this.add(e), e.updateWorldMatrix(!1, !0), this; + } + getObjectById(e) { + return this.getObjectByProperty("id", e); + } + getObjectByName(e) { + return this.getObjectByProperty("name", e); + } + getObjectByProperty(e, t) { + if (this[e] === t) return this; + for (let n = 0, r = this.children.length; n < r; n++) { + const o = this.children[n].getObjectByProperty(e, t); + if (o !== void 0) + return o; + } + } + getObjectsByProperty(e, t, n = []) { + this[e] === t && n.push(this); + const r = this.children; + for (let s = 0, o = r.length; s < o; s++) + r[s].getObjectsByProperty(e, t, n); + return n; + } + getWorldPosition(e) { + return this.updateWorldMatrix(!0, !1), e.setFromMatrixPosition(this.matrixWorld); + } + getWorldQuaternion(e) { + return this.updateWorldMatrix(!0, !1), this.matrixWorld.decompose(ui, e, ic), e; + } + getWorldScale(e) { + return this.updateWorldMatrix(!0, !1), this.matrixWorld.decompose(ui, rc, e), e; + } + getWorldDirection(e) { + this.updateWorldMatrix(!0, !1); + const t = this.matrixWorld.elements; + return e.set(t[8], t[9], t[10]).normalize(); + } + raycast() { + } + traverse(e) { + e(this); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) + t[n].traverse(e); + } + traverseVisible(e) { + if (this.visible === !1) return; + e(this); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) + t[n].traverseVisible(e); + } + traverseAncestors(e) { + const t = this.parent; + t !== null && (e(t), t.traverseAncestors(e)); + } + updateMatrix() { + this.matrix.compose(this.position, this.quaternion, this.scale), this.matrixWorldNeedsUpdate = !0; + } + updateMatrixWorld(e) { + this.matrixAutoUpdate && this.updateMatrix(), (this.matrixWorldNeedsUpdate || e) && (this.parent === null ? this.matrixWorld.copy(this.matrix) : this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix), this.matrixWorldNeedsUpdate = !1, e = !0); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) { + const s = t[n]; + (s.matrixWorldAutoUpdate === !0 || e === !0) && s.updateMatrixWorld(e); + } + } + updateWorldMatrix(e, t) { + const n = this.parent; + if (e === !0 && n !== null && n.matrixWorldAutoUpdate === !0 && n.updateWorldMatrix(!0, !1), this.matrixAutoUpdate && this.updateMatrix(), this.parent === null ? this.matrixWorld.copy(this.matrix) : this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix), t === !0) { + const r = this.children; + for (let s = 0, o = r.length; s < o; s++) { + const a = r[s]; + a.matrixWorldAutoUpdate === !0 && a.updateWorldMatrix(!1, !0); + } + } + } + toJSON(e) { + const t = e === void 0 || typeof e == "string", n = {}; + t && (e = { + geometries: {}, + materials: {}, + textures: {}, + images: {}, + shapes: {}, + skeletons: {}, + animations: {}, + nodes: {} + }, n.metadata = { + version: 4.6, + type: "Object", + generator: "Object3D.toJSON" + }); + const r = {}; + r.uuid = this.uuid, r.type = this.type, this.name !== "" && (r.name = this.name), this.castShadow === !0 && (r.castShadow = !0), this.receiveShadow === !0 && (r.receiveShadow = !0), this.visible === !1 && (r.visible = !1), this.frustumCulled === !1 && (r.frustumCulled = !1), this.renderOrder !== 0 && (r.renderOrder = this.renderOrder), Object.keys(this.userData).length > 0 && (r.userData = this.userData), r.layers = this.layers.mask, r.matrix = this.matrix.toArray(), r.up = this.up.toArray(), this.matrixAutoUpdate === !1 && (r.matrixAutoUpdate = !1), this.isInstancedMesh && (r.type = "InstancedMesh", r.count = this.count, r.instanceMatrix = this.instanceMatrix.toJSON(), this.instanceColor !== null && (r.instanceColor = this.instanceColor.toJSON())), this.isBatchedMesh && (r.type = "BatchedMesh", r.perObjectFrustumCulled = this.perObjectFrustumCulled, r.sortObjects = this.sortObjects, r.drawRanges = this._drawRanges, r.reservedRanges = this._reservedRanges, r.visibility = this._visibility, r.active = this._active, r.bounds = this._bounds.map((a) => ({ + boxInitialized: a.boxInitialized, + boxMin: a.box.min.toArray(), + boxMax: a.box.max.toArray(), + sphereInitialized: a.sphereInitialized, + sphereRadius: a.sphere.radius, + sphereCenter: a.sphere.center.toArray() + })), r.maxGeometryCount = this._maxGeometryCount, r.maxVertexCount = this._maxVertexCount, r.maxIndexCount = this._maxIndexCount, r.geometryInitialized = this._geometryInitialized, r.geometryCount = this._geometryCount, r.matricesTexture = this._matricesTexture.toJSON(e), this.boundingSphere !== null && (r.boundingSphere = { + center: r.boundingSphere.center.toArray(), + radius: r.boundingSphere.radius + }), this.boundingBox !== null && (r.boundingBox = { + min: r.boundingBox.min.toArray(), + max: r.boundingBox.max.toArray() + })); + function s(a, l) { + return a[l.uuid] === void 0 && (a[l.uuid] = l.toJSON(e)), l.uuid; + } + if (this.isScene) + this.background && (this.background.isColor ? r.background = this.background.toJSON() : this.background.isTexture && (r.background = this.background.toJSON(e).uuid)), this.environment && this.environment.isTexture && this.environment.isRenderTargetTexture !== !0 && (r.environment = this.environment.toJSON(e).uuid); + else if (this.isMesh || this.isLine || this.isPoints) { + r.geometry = s(e.geometries, this.geometry); + const a = this.geometry.parameters; + if (a !== void 0 && a.shapes !== void 0) { + const l = a.shapes; + if (Array.isArray(l)) + for (let c = 0, h = l.length; c < h; c++) { + const d = l[c]; + s(e.shapes, d); + } + else + s(e.shapes, l); + } + } + if (this.isSkinnedMesh && (r.bindMode = this.bindMode, r.bindMatrix = this.bindMatrix.toArray(), this.skeleton !== void 0 && (s(e.skeletons, this.skeleton), r.skeleton = this.skeleton.uuid)), this.material !== void 0) + if (Array.isArray(this.material)) { + const a = []; + for (let l = 0, c = this.material.length; l < c; l++) + a.push(s(e.materials, this.material[l])); + r.material = a; + } else + r.material = s(e.materials, this.material); + if (this.children.length > 0) { + r.children = []; + for (let a = 0; a < this.children.length; a++) + r.children.push(this.children[a].toJSON(e).object); + } + if (this.animations.length > 0) { + r.animations = []; + for (let a = 0; a < this.animations.length; a++) { + const l = this.animations[a]; + r.animations.push(s(e.animations, l)); + } + } + if (t) { + const a = o(e.geometries), l = o(e.materials), c = o(e.textures), h = o(e.images), d = o(e.shapes), p = o(e.skeletons), m = o(e.animations), g = o(e.nodes); + a.length > 0 && (n.geometries = a), l.length > 0 && (n.materials = l), c.length > 0 && (n.textures = c), h.length > 0 && (n.images = h), d.length > 0 && (n.shapes = d), p.length > 0 && (n.skeletons = p), m.length > 0 && (n.animations = m), g.length > 0 && (n.nodes = g); + } + return n.object = r, n; + function o(a) { + const l = []; + for (const c in a) { + const h = a[c]; + delete h.metadata, l.push(h); + } + return l; + } + } + clone(e) { + return new this.constructor().copy(this, e); + } + copy(e, t = !0) { + if (this.name = e.name, this.up.copy(e.up), this.position.copy(e.position), this.rotation.order = e.rotation.order, this.quaternion.copy(e.quaternion), this.scale.copy(e.scale), this.matrix.copy(e.matrix), this.matrixWorld.copy(e.matrixWorld), this.matrixAutoUpdate = e.matrixAutoUpdate, this.matrixWorldAutoUpdate = e.matrixWorldAutoUpdate, this.matrixWorldNeedsUpdate = e.matrixWorldNeedsUpdate, this.layers.mask = e.layers.mask, this.visible = e.visible, this.castShadow = e.castShadow, this.receiveShadow = e.receiveShadow, this.frustumCulled = e.frustumCulled, this.renderOrder = e.renderOrder, this.animations = e.animations.slice(), this.userData = JSON.parse(JSON.stringify(e.userData)), t === !0) + for (let n = 0; n < e.children.length; n++) { + const r = e.children[n]; + this.add(r.clone()); + } + return this; + } +} +dt.DEFAULT_UP = /* @__PURE__ */ new P(0, 1, 0); +dt.DEFAULT_MATRIX_AUTO_UPDATE = !0; +dt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE = !0; +const Dt = /* @__PURE__ */ new P(), qt = /* @__PURE__ */ new P(), Lr = /* @__PURE__ */ new P(), Yt = /* @__PURE__ */ new P(), zn = /* @__PURE__ */ new P(), Gn = /* @__PURE__ */ new P(), fa = /* @__PURE__ */ new P(), Pr = /* @__PURE__ */ new P(), Dr = /* @__PURE__ */ new P(), Ur = /* @__PURE__ */ new P(); +let Di = !1; +class It { + constructor(e = new P(), t = new P(), n = new P()) { + this.a = e, this.b = t, this.c = n; + } + static getNormal(e, t, n, r) { + r.subVectors(n, t), Dt.subVectors(e, t), r.cross(Dt); + const s = r.lengthSq(); + return s > 0 ? r.multiplyScalar(1 / Math.sqrt(s)) : r.set(0, 0, 0); + } + // static/instance method to calculate barycentric coordinates + // based on: http://www.blackpawn.com/texts/pointinpoly/default.html + static getBarycoord(e, t, n, r, s) { + Dt.subVectors(r, t), qt.subVectors(n, t), Lr.subVectors(e, t); + const o = Dt.dot(Dt), a = Dt.dot(qt), l = Dt.dot(Lr), c = qt.dot(qt), h = qt.dot(Lr), d = o * c - a * a; + if (d === 0) + return s.set(0, 0, 0), null; + const p = 1 / d, m = (c * l - a * h) * p, g = (o * h - a * l) * p; + return s.set(1 - m - g, g, m); + } + static containsPoint(e, t, n, r) { + return this.getBarycoord(e, t, n, r, Yt) === null ? !1 : Yt.x >= 0 && Yt.y >= 0 && Yt.x + Yt.y <= 1; + } + static getUV(e, t, n, r, s, o, a, l) { + return Di === !1 && (console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."), Di = !0), this.getInterpolation(e, t, n, r, s, o, a, l); + } + static getInterpolation(e, t, n, r, s, o, a, l) { + return this.getBarycoord(e, t, n, r, Yt) === null ? (l.x = 0, l.y = 0, "z" in l && (l.z = 0), "w" in l && (l.w = 0), null) : (l.setScalar(0), l.addScaledVector(s, Yt.x), l.addScaledVector(o, Yt.y), l.addScaledVector(a, Yt.z), l); + } + static isFrontFacing(e, t, n, r) { + return Dt.subVectors(n, t), qt.subVectors(e, t), Dt.cross(qt).dot(r) < 0; + } + set(e, t, n) { + return this.a.copy(e), this.b.copy(t), this.c.copy(n), this; + } + setFromPointsAndIndices(e, t, n, r) { + return this.a.copy(e[t]), this.b.copy(e[n]), this.c.copy(e[r]), this; + } + setFromAttributeAndIndices(e, t, n, r) { + return this.a.fromBufferAttribute(e, t), this.b.fromBufferAttribute(e, n), this.c.fromBufferAttribute(e, r), this; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.a.copy(e.a), this.b.copy(e.b), this.c.copy(e.c), this; + } + getArea() { + return Dt.subVectors(this.c, this.b), qt.subVectors(this.a, this.b), Dt.cross(qt).length() * 0.5; + } + getMidpoint(e) { + return e.addVectors(this.a, this.b).add(this.c).multiplyScalar(1 / 3); + } + getNormal(e) { + return It.getNormal(this.a, this.b, this.c, e); + } + getPlane(e) { + return e.setFromCoplanarPoints(this.a, this.b, this.c); + } + getBarycoord(e, t) { + return It.getBarycoord(e, this.a, this.b, this.c, t); + } + getUV(e, t, n, r, s) { + return Di === !1 && (console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."), Di = !0), It.getInterpolation(e, this.a, this.b, this.c, t, n, r, s); + } + getInterpolation(e, t, n, r, s) { + return It.getInterpolation(e, this.a, this.b, this.c, t, n, r, s); + } + containsPoint(e) { + return It.containsPoint(e, this.a, this.b, this.c); + } + isFrontFacing(e) { + return It.isFrontFacing(this.a, this.b, this.c, e); + } + intersectsBox(e) { + return e.intersectsTriangle(this); + } + closestPointToPoint(e, t) { + const n = this.a, r = this.b, s = this.c; + let o, a; + zn.subVectors(r, n), Gn.subVectors(s, n), Pr.subVectors(e, n); + const l = zn.dot(Pr), c = Gn.dot(Pr); + if (l <= 0 && c <= 0) + return t.copy(n); + Dr.subVectors(e, r); + const h = zn.dot(Dr), d = Gn.dot(Dr); + if (h >= 0 && d <= h) + return t.copy(r); + const p = l * d - h * c; + if (p <= 0 && l >= 0 && h <= 0) + return o = l / (l - h), t.copy(n).addScaledVector(zn, o); + Ur.subVectors(e, s); + const m = zn.dot(Ur), g = Gn.dot(Ur); + if (g >= 0 && m <= g) + return t.copy(s); + const v = m * c - l * g; + if (v <= 0 && c >= 0 && g <= 0) + return a = c / (c - g), t.copy(n).addScaledVector(Gn, a); + const f = h * g - m * d; + if (f <= 0 && d - h >= 0 && m - g >= 0) + return fa.subVectors(s, r), a = (d - h) / (d - h + (m - g)), t.copy(r).addScaledVector(fa, a); + const u = 1 / (f + v + p); + return o = v * u, a = p * u, t.copy(n).addScaledVector(zn, o).addScaledVector(Gn, a); + } + equals(e) { + return e.a.equals(this.a) && e.b.equals(this.b) && e.c.equals(this.c); + } +} +const Ao = { + aliceblue: 15792383, + antiquewhite: 16444375, + aqua: 65535, + aquamarine: 8388564, + azure: 15794175, + beige: 16119260, + bisque: 16770244, + black: 0, + blanchedalmond: 16772045, + blue: 255, + blueviolet: 9055202, + brown: 10824234, + burlywood: 14596231, + cadetblue: 6266528, + chartreuse: 8388352, + chocolate: 13789470, + coral: 16744272, + cornflowerblue: 6591981, + cornsilk: 16775388, + crimson: 14423100, + cyan: 65535, + darkblue: 139, + darkcyan: 35723, + darkgoldenrod: 12092939, + darkgray: 11119017, + darkgreen: 25600, + darkgrey: 11119017, + darkkhaki: 12433259, + darkmagenta: 9109643, + darkolivegreen: 5597999, + darkorange: 16747520, + darkorchid: 10040012, + darkred: 9109504, + darksalmon: 15308410, + darkseagreen: 9419919, + darkslateblue: 4734347, + darkslategray: 3100495, + darkslategrey: 3100495, + darkturquoise: 52945, + darkviolet: 9699539, + deeppink: 16716947, + deepskyblue: 49151, + dimgray: 6908265, + dimgrey: 6908265, + dodgerblue: 2003199, + firebrick: 11674146, + floralwhite: 16775920, + forestgreen: 2263842, + fuchsia: 16711935, + gainsboro: 14474460, + ghostwhite: 16316671, + gold: 16766720, + goldenrod: 14329120, + gray: 8421504, + green: 32768, + greenyellow: 11403055, + grey: 8421504, + honeydew: 15794160, + hotpink: 16738740, + indianred: 13458524, + indigo: 4915330, + ivory: 16777200, + khaki: 15787660, + lavender: 15132410, + lavenderblush: 16773365, + lawngreen: 8190976, + lemonchiffon: 16775885, + lightblue: 11393254, + lightcoral: 15761536, + lightcyan: 14745599, + lightgoldenrodyellow: 16448210, + lightgray: 13882323, + lightgreen: 9498256, + lightgrey: 13882323, + lightpink: 16758465, + lightsalmon: 16752762, + lightseagreen: 2142890, + lightskyblue: 8900346, + lightslategray: 7833753, + lightslategrey: 7833753, + lightsteelblue: 11584734, + lightyellow: 16777184, + lime: 65280, + limegreen: 3329330, + linen: 16445670, + magenta: 16711935, + maroon: 8388608, + mediumaquamarine: 6737322, + mediumblue: 205, + mediumorchid: 12211667, + mediumpurple: 9662683, + mediumseagreen: 3978097, + mediumslateblue: 8087790, + mediumspringgreen: 64154, + mediumturquoise: 4772300, + mediumvioletred: 13047173, + midnightblue: 1644912, + mintcream: 16121850, + mistyrose: 16770273, + moccasin: 16770229, + navajowhite: 16768685, + navy: 128, + oldlace: 16643558, + olive: 8421376, + olivedrab: 7048739, + orange: 16753920, + orangered: 16729344, + orchid: 14315734, + palegoldenrod: 15657130, + palegreen: 10025880, + paleturquoise: 11529966, + palevioletred: 14381203, + papayawhip: 16773077, + peachpuff: 16767673, + peru: 13468991, + pink: 16761035, + plum: 14524637, + powderblue: 11591910, + purple: 8388736, + rebeccapurple: 6697881, + red: 16711680, + rosybrown: 12357519, + royalblue: 4286945, + saddlebrown: 9127187, + salmon: 16416882, + sandybrown: 16032864, + seagreen: 3050327, + seashell: 16774638, + sienna: 10506797, + silver: 12632256, + skyblue: 8900331, + slateblue: 6970061, + slategray: 7372944, + slategrey: 7372944, + snow: 16775930, + springgreen: 65407, + steelblue: 4620980, + tan: 13808780, + teal: 32896, + thistle: 14204888, + tomato: 16737095, + turquoise: 4251856, + violet: 15631086, + wheat: 16113331, + white: 16777215, + whitesmoke: 16119285, + yellow: 16776960, + yellowgreen: 10145074 +}, nn = { h: 0, s: 0, l: 0 }, Ui = { h: 0, s: 0, l: 0 }; +function Ir(i, e, t) { + return t < 0 && (t += 1), t > 1 && (t -= 1), t < 1 / 6 ? i + (e - i) * 6 * t : t < 1 / 2 ? e : t < 2 / 3 ? i + (e - i) * 6 * (2 / 3 - t) : i; +} +class Xe { + constructor(e, t, n) { + return this.isColor = !0, this.r = 1, this.g = 1, this.b = 1, this.set(e, t, n); + } + set(e, t, n) { + if (t === void 0 && n === void 0) { + const r = e; + r && r.isColor ? this.copy(r) : typeof r == "number" ? this.setHex(r) : typeof r == "string" && this.setStyle(r); + } else + this.setRGB(e, t, n); + return this; + } + setScalar(e) { + return this.r = e, this.g = e, this.b = e, this; + } + setHex(e, t = ht) { + return e = Math.floor(e), this.r = (e >> 16 & 255) / 255, this.g = (e >> 8 & 255) / 255, this.b = (e & 255) / 255, Ke.toWorkingColorSpace(this, t), this; + } + setRGB(e, t, n, r = Ke.workingColorSpace) { + return this.r = e, this.g = t, this.b = n, Ke.toWorkingColorSpace(this, r), this; + } + setHSL(e, t, n, r = Ke.workingColorSpace) { + if (e = Xl(e, 1), t = vt(t, 0, 1), n = vt(n, 0, 1), t === 0) + this.r = this.g = this.b = n; + else { + const s = n <= 0.5 ? n * (1 + t) : n + t - n * t, o = 2 * n - s; + this.r = Ir(o, s, e + 1 / 3), this.g = Ir(o, s, e), this.b = Ir(o, s, e - 1 / 3); + } + return Ke.toWorkingColorSpace(this, r), this; + } + setStyle(e, t = ht) { + function n(s) { + s !== void 0 && parseFloat(s) < 1 && console.warn("THREE.Color: Alpha component of " + e + " will be ignored."); + } + let r; + if (r = /^(\w+)\(([^\)]*)\)/.exec(e)) { + let s; + const o = r[1], a = r[2]; + switch (o) { + case "rgb": + case "rgba": + if (s = /^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setRGB( + Math.min(255, parseInt(s[1], 10)) / 255, + Math.min(255, parseInt(s[2], 10)) / 255, + Math.min(255, parseInt(s[3], 10)) / 255, + t + ); + if (s = /^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setRGB( + Math.min(100, parseInt(s[1], 10)) / 100, + Math.min(100, parseInt(s[2], 10)) / 100, + Math.min(100, parseInt(s[3], 10)) / 100, + t + ); + break; + case "hsl": + case "hsla": + if (s = /^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setHSL( + parseFloat(s[1]) / 360, + parseFloat(s[2]) / 100, + parseFloat(s[3]) / 100, + t + ); + break; + default: + console.warn("THREE.Color: Unknown color model " + e); + } + } else if (r = /^\#([A-Fa-f\d]+)$/.exec(e)) { + const s = r[1], o = s.length; + if (o === 3) + return this.setRGB( + parseInt(s.charAt(0), 16) / 15, + parseInt(s.charAt(1), 16) / 15, + parseInt(s.charAt(2), 16) / 15, + t + ); + if (o === 6) + return this.setHex(parseInt(s, 16), t); + console.warn("THREE.Color: Invalid hex color " + e); + } else if (e && e.length > 0) + return this.setColorName(e, t); + return this; + } + setColorName(e, t = ht) { + const n = Ao[e.toLowerCase()]; + return n !== void 0 ? this.setHex(n, t) : console.warn("THREE.Color: Unknown color " + e), this; + } + clone() { + return new this.constructor(this.r, this.g, this.b); + } + copy(e) { + return this.r = e.r, this.g = e.g, this.b = e.b, this; + } + copySRGBToLinear(e) { + return this.r = Jn(e.r), this.g = Jn(e.g), this.b = Jn(e.b), this; + } + copyLinearToSRGB(e) { + return this.r = Er(e.r), this.g = Er(e.g), this.b = Er(e.b), this; + } + convertSRGBToLinear() { + return this.copySRGBToLinear(this), this; + } + convertLinearToSRGB() { + return this.copyLinearToSRGB(this), this; + } + getHex(e = ht) { + return Ke.fromWorkingColorSpace(mt.copy(this), e), Math.round(vt(mt.r * 255, 0, 255)) * 65536 + Math.round(vt(mt.g * 255, 0, 255)) * 256 + Math.round(vt(mt.b * 255, 0, 255)); + } + getHexString(e = ht) { + return ("000000" + this.getHex(e).toString(16)).slice(-6); + } + getHSL(e, t = Ke.workingColorSpace) { + Ke.fromWorkingColorSpace(mt.copy(this), t); + const n = mt.r, r = mt.g, s = mt.b, o = Math.max(n, r, s), a = Math.min(n, r, s); + let l, c; + const h = (a + o) / 2; + if (a === o) + l = 0, c = 0; + else { + const d = o - a; + switch (c = h <= 0.5 ? d / (o + a) : d / (2 - o - a), o) { + case n: + l = (r - s) / d + (r < s ? 6 : 0); + break; + case r: + l = (s - n) / d + 2; + break; + case s: + l = (n - r) / d + 4; + break; + } + l /= 6; + } + return e.h = l, e.s = c, e.l = h, e; + } + getRGB(e, t = Ke.workingColorSpace) { + return Ke.fromWorkingColorSpace(mt.copy(this), t), e.r = mt.r, e.g = mt.g, e.b = mt.b, e; + } + getStyle(e = ht) { + Ke.fromWorkingColorSpace(mt.copy(this), e); + const t = mt.r, n = mt.g, r = mt.b; + return e !== ht ? `color(${e} ${t.toFixed(3)} ${n.toFixed(3)} ${r.toFixed(3)})` : `rgb(${Math.round(t * 255)},${Math.round(n * 255)},${Math.round(r * 255)})`; + } + offsetHSL(e, t, n) { + return this.getHSL(nn), this.setHSL(nn.h + e, nn.s + t, nn.l + n); + } + add(e) { + return this.r += e.r, this.g += e.g, this.b += e.b, this; + } + addColors(e, t) { + return this.r = e.r + t.r, this.g = e.g + t.g, this.b = e.b + t.b, this; + } + addScalar(e) { + return this.r += e, this.g += e, this.b += e, this; + } + sub(e) { + return this.r = Math.max(0, this.r - e.r), this.g = Math.max(0, this.g - e.g), this.b = Math.max(0, this.b - e.b), this; + } + multiply(e) { + return this.r *= e.r, this.g *= e.g, this.b *= e.b, this; + } + multiplyScalar(e) { + return this.r *= e, this.g *= e, this.b *= e, this; + } + lerp(e, t) { + return this.r += (e.r - this.r) * t, this.g += (e.g - this.g) * t, this.b += (e.b - this.b) * t, this; + } + lerpColors(e, t, n) { + return this.r = e.r + (t.r - e.r) * n, this.g = e.g + (t.g - e.g) * n, this.b = e.b + (t.b - e.b) * n, this; + } + lerpHSL(e, t) { + this.getHSL(nn), e.getHSL(Ui); + const n = Mr(nn.h, Ui.h, t), r = Mr(nn.s, Ui.s, t), s = Mr(nn.l, Ui.l, t); + return this.setHSL(n, r, s), this; + } + setFromVector3(e) { + return this.r = e.x, this.g = e.y, this.b = e.z, this; + } + applyMatrix3(e) { + const t = this.r, n = this.g, r = this.b, s = e.elements; + return this.r = s[0] * t + s[3] * n + s[6] * r, this.g = s[1] * t + s[4] * n + s[7] * r, this.b = s[2] * t + s[5] * n + s[8] * r, this; + } + equals(e) { + return e.r === this.r && e.g === this.g && e.b === this.b; + } + fromArray(e, t = 0) { + return this.r = e[t], this.g = e[t + 1], this.b = e[t + 2], this; + } + toArray(e = [], t = 0) { + return e[t] = this.r, e[t + 1] = this.g, e[t + 2] = this.b, e; + } + fromBufferAttribute(e, t) { + return this.r = e.getX(t), this.g = e.getY(t), this.b = e.getZ(t), this; + } + toJSON() { + return this.getHex(); + } + *[Symbol.iterator]() { + yield this.r, yield this.g, yield this.b; + } +} +const mt = /* @__PURE__ */ new Xe(); +Xe.NAMES = Ao; +let oc = 0; +class Mi extends Rn { + constructor() { + super(), this.isMaterial = !0, Object.defineProperty(this, "id", { value: oc++ }), this.uuid = vi(), this.name = "", this.type = "Material", this.blending = $n, this.side = un, this.vertexColors = !1, this.opacity = 1, this.transparent = !1, this.alphaHash = !1, this.blendSrc = Kr, this.blendDst = Zr, this.blendEquation = Mn, this.blendSrcAlpha = null, this.blendDstAlpha = null, this.blendEquationAlpha = null, this.blendColor = new Xe(0, 0, 0), this.blendAlpha = 0, this.depthFunc = $i, this.depthTest = !0, this.depthWrite = !0, this.stencilWriteMask = 255, this.stencilFunc = Qs, this.stencilRef = 0, this.stencilFuncMask = 255, this.stencilFail = Dn, this.stencilZFail = Dn, this.stencilZPass = Dn, this.stencilWrite = !1, this.clippingPlanes = null, this.clipIntersection = !1, this.clipShadows = !1, this.shadowSide = null, this.colorWrite = !0, this.precision = null, this.polygonOffset = !1, this.polygonOffsetFactor = 0, this.polygonOffsetUnits = 0, this.dithering = !1, this.alphaToCoverage = !1, this.premultipliedAlpha = !1, this.forceSinglePass = !1, this.visible = !0, this.toneMapped = !0, this.userData = {}, this.version = 0, this._alphaTest = 0; + } + get alphaTest() { + return this._alphaTest; + } + set alphaTest(e) { + this._alphaTest > 0 != e > 0 && this.version++, this._alphaTest = e; + } + onBuild() { + } + onBeforeRender() { + } + onBeforeCompile() { + } + customProgramCacheKey() { + return this.onBeforeCompile.toString(); + } + setValues(e) { + if (e !== void 0) + for (const t in e) { + const n = e[t]; + if (n === void 0) { + console.warn(`THREE.Material: parameter '${t}' has value of undefined.`); + continue; + } + const r = this[t]; + if (r === void 0) { + console.warn(`THREE.Material: '${t}' is not a property of THREE.${this.type}.`); + continue; + } + r && r.isColor ? r.set(n) : r && r.isVector3 && n && n.isVector3 ? r.copy(n) : this[t] = n; + } + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + t && (e = { + textures: {}, + images: {} + }); + const n = { + metadata: { + version: 4.6, + type: "Material", + generator: "Material.toJSON" + } + }; + n.uuid = this.uuid, n.type = this.type, this.name !== "" && (n.name = this.name), this.color && this.color.isColor && (n.color = this.color.getHex()), this.roughness !== void 0 && (n.roughness = this.roughness), this.metalness !== void 0 && (n.metalness = this.metalness), this.sheen !== void 0 && (n.sheen = this.sheen), this.sheenColor && this.sheenColor.isColor && (n.sheenColor = this.sheenColor.getHex()), this.sheenRoughness !== void 0 && (n.sheenRoughness = this.sheenRoughness), this.emissive && this.emissive.isColor && (n.emissive = this.emissive.getHex()), this.emissiveIntensity && this.emissiveIntensity !== 1 && (n.emissiveIntensity = this.emissiveIntensity), this.specular && this.specular.isColor && (n.specular = this.specular.getHex()), this.specularIntensity !== void 0 && (n.specularIntensity = this.specularIntensity), this.specularColor && this.specularColor.isColor && (n.specularColor = this.specularColor.getHex()), this.shininess !== void 0 && (n.shininess = this.shininess), this.clearcoat !== void 0 && (n.clearcoat = this.clearcoat), this.clearcoatRoughness !== void 0 && (n.clearcoatRoughness = this.clearcoatRoughness), this.clearcoatMap && this.clearcoatMap.isTexture && (n.clearcoatMap = this.clearcoatMap.toJSON(e).uuid), this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture && (n.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON(e).uuid), this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture && (n.clearcoatNormalMap = this.clearcoatNormalMap.toJSON(e).uuid, n.clearcoatNormalScale = this.clearcoatNormalScale.toArray()), this.iridescence !== void 0 && (n.iridescence = this.iridescence), this.iridescenceIOR !== void 0 && (n.iridescenceIOR = this.iridescenceIOR), this.iridescenceThicknessRange !== void 0 && (n.iridescenceThicknessRange = this.iridescenceThicknessRange), this.iridescenceMap && this.iridescenceMap.isTexture && (n.iridescenceMap = this.iridescenceMap.toJSON(e).uuid), this.iridescenceThicknessMap && this.iridescenceThicknessMap.isTexture && (n.iridescenceThicknessMap = this.iridescenceThicknessMap.toJSON(e).uuid), this.anisotropy !== void 0 && (n.anisotropy = this.anisotropy), this.anisotropyRotation !== void 0 && (n.anisotropyRotation = this.anisotropyRotation), this.anisotropyMap && this.anisotropyMap.isTexture && (n.anisotropyMap = this.anisotropyMap.toJSON(e).uuid), this.map && this.map.isTexture && (n.map = this.map.toJSON(e).uuid), this.matcap && this.matcap.isTexture && (n.matcap = this.matcap.toJSON(e).uuid), this.alphaMap && this.alphaMap.isTexture && (n.alphaMap = this.alphaMap.toJSON(e).uuid), this.lightMap && this.lightMap.isTexture && (n.lightMap = this.lightMap.toJSON(e).uuid, n.lightMapIntensity = this.lightMapIntensity), this.aoMap && this.aoMap.isTexture && (n.aoMap = this.aoMap.toJSON(e).uuid, n.aoMapIntensity = this.aoMapIntensity), this.bumpMap && this.bumpMap.isTexture && (n.bumpMap = this.bumpMap.toJSON(e).uuid, n.bumpScale = this.bumpScale), this.normalMap && this.normalMap.isTexture && (n.normalMap = this.normalMap.toJSON(e).uuid, n.normalMapType = this.normalMapType, n.normalScale = this.normalScale.toArray()), this.displacementMap && this.displacementMap.isTexture && (n.displacementMap = this.displacementMap.toJSON(e).uuid, n.displacementScale = this.displacementScale, n.displacementBias = this.displacementBias), this.roughnessMap && this.roughnessMap.isTexture && (n.roughnessMap = this.roughnessMap.toJSON(e).uuid), this.metalnessMap && this.metalnessMap.isTexture && (n.metalnessMap = this.metalnessMap.toJSON(e).uuid), this.emissiveMap && this.emissiveMap.isTexture && (n.emissiveMap = this.emissiveMap.toJSON(e).uuid), this.specularMap && this.specularMap.isTexture && (n.specularMap = this.specularMap.toJSON(e).uuid), this.specularIntensityMap && this.specularIntensityMap.isTexture && (n.specularIntensityMap = this.specularIntensityMap.toJSON(e).uuid), this.specularColorMap && this.specularColorMap.isTexture && (n.specularColorMap = this.specularColorMap.toJSON(e).uuid), this.envMap && this.envMap.isTexture && (n.envMap = this.envMap.toJSON(e).uuid, this.combine !== void 0 && (n.combine = this.combine)), this.envMapIntensity !== void 0 && (n.envMapIntensity = this.envMapIntensity), this.reflectivity !== void 0 && (n.reflectivity = this.reflectivity), this.refractionRatio !== void 0 && (n.refractionRatio = this.refractionRatio), this.gradientMap && this.gradientMap.isTexture && (n.gradientMap = this.gradientMap.toJSON(e).uuid), this.transmission !== void 0 && (n.transmission = this.transmission), this.transmissionMap && this.transmissionMap.isTexture && (n.transmissionMap = this.transmissionMap.toJSON(e).uuid), this.thickness !== void 0 && (n.thickness = this.thickness), this.thicknessMap && this.thicknessMap.isTexture && (n.thicknessMap = this.thicknessMap.toJSON(e).uuid), this.attenuationDistance !== void 0 && this.attenuationDistance !== 1 / 0 && (n.attenuationDistance = this.attenuationDistance), this.attenuationColor !== void 0 && (n.attenuationColor = this.attenuationColor.getHex()), this.size !== void 0 && (n.size = this.size), this.shadowSide !== null && (n.shadowSide = this.shadowSide), this.sizeAttenuation !== void 0 && (n.sizeAttenuation = this.sizeAttenuation), this.blending !== $n && (n.blending = this.blending), this.side !== un && (n.side = this.side), this.vertexColors === !0 && (n.vertexColors = !0), this.opacity < 1 && (n.opacity = this.opacity), this.transparent === !0 && (n.transparent = !0), this.blendSrc !== Kr && (n.blendSrc = this.blendSrc), this.blendDst !== Zr && (n.blendDst = this.blendDst), this.blendEquation !== Mn && (n.blendEquation = this.blendEquation), this.blendSrcAlpha !== null && (n.blendSrcAlpha = this.blendSrcAlpha), this.blendDstAlpha !== null && (n.blendDstAlpha = this.blendDstAlpha), this.blendEquationAlpha !== null && (n.blendEquationAlpha = this.blendEquationAlpha), this.blendColor && this.blendColor.isColor && (n.blendColor = this.blendColor.getHex()), this.blendAlpha !== 0 && (n.blendAlpha = this.blendAlpha), this.depthFunc !== $i && (n.depthFunc = this.depthFunc), this.depthTest === !1 && (n.depthTest = this.depthTest), this.depthWrite === !1 && (n.depthWrite = this.depthWrite), this.colorWrite === !1 && (n.colorWrite = this.colorWrite), this.stencilWriteMask !== 255 && (n.stencilWriteMask = this.stencilWriteMask), this.stencilFunc !== Qs && (n.stencilFunc = this.stencilFunc), this.stencilRef !== 0 && (n.stencilRef = this.stencilRef), this.stencilFuncMask !== 255 && (n.stencilFuncMask = this.stencilFuncMask), this.stencilFail !== Dn && (n.stencilFail = this.stencilFail), this.stencilZFail !== Dn && (n.stencilZFail = this.stencilZFail), this.stencilZPass !== Dn && (n.stencilZPass = this.stencilZPass), this.stencilWrite === !0 && (n.stencilWrite = this.stencilWrite), this.rotation !== void 0 && this.rotation !== 0 && (n.rotation = this.rotation), this.polygonOffset === !0 && (n.polygonOffset = !0), this.polygonOffsetFactor !== 0 && (n.polygonOffsetFactor = this.polygonOffsetFactor), this.polygonOffsetUnits !== 0 && (n.polygonOffsetUnits = this.polygonOffsetUnits), this.linewidth !== void 0 && this.linewidth !== 1 && (n.linewidth = this.linewidth), this.dashSize !== void 0 && (n.dashSize = this.dashSize), this.gapSize !== void 0 && (n.gapSize = this.gapSize), this.scale !== void 0 && (n.scale = this.scale), this.dithering === !0 && (n.dithering = !0), this.alphaTest > 0 && (n.alphaTest = this.alphaTest), this.alphaHash === !0 && (n.alphaHash = !0), this.alphaToCoverage === !0 && (n.alphaToCoverage = !0), this.premultipliedAlpha === !0 && (n.premultipliedAlpha = !0), this.forceSinglePass === !0 && (n.forceSinglePass = !0), this.wireframe === !0 && (n.wireframe = !0), this.wireframeLinewidth > 1 && (n.wireframeLinewidth = this.wireframeLinewidth), this.wireframeLinecap !== "round" && (n.wireframeLinecap = this.wireframeLinecap), this.wireframeLinejoin !== "round" && (n.wireframeLinejoin = this.wireframeLinejoin), this.flatShading === !0 && (n.flatShading = !0), this.visible === !1 && (n.visible = !1), this.toneMapped === !1 && (n.toneMapped = !1), this.fog === !1 && (n.fog = !1), Object.keys(this.userData).length > 0 && (n.userData = this.userData); + function r(s) { + const o = []; + for (const a in s) { + const l = s[a]; + delete l.metadata, o.push(l); + } + return o; + } + if (t) { + const s = r(e.textures), o = r(e.images); + s.length > 0 && (n.textures = s), o.length > 0 && (n.images = o); + } + return n; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.name = e.name, this.blending = e.blending, this.side = e.side, this.vertexColors = e.vertexColors, this.opacity = e.opacity, this.transparent = e.transparent, this.blendSrc = e.blendSrc, this.blendDst = e.blendDst, this.blendEquation = e.blendEquation, this.blendSrcAlpha = e.blendSrcAlpha, this.blendDstAlpha = e.blendDstAlpha, this.blendEquationAlpha = e.blendEquationAlpha, this.blendColor.copy(e.blendColor), this.blendAlpha = e.blendAlpha, this.depthFunc = e.depthFunc, this.depthTest = e.depthTest, this.depthWrite = e.depthWrite, this.stencilWriteMask = e.stencilWriteMask, this.stencilFunc = e.stencilFunc, this.stencilRef = e.stencilRef, this.stencilFuncMask = e.stencilFuncMask, this.stencilFail = e.stencilFail, this.stencilZFail = e.stencilZFail, this.stencilZPass = e.stencilZPass, this.stencilWrite = e.stencilWrite; + const t = e.clippingPlanes; + let n = null; + if (t !== null) { + const r = t.length; + n = new Array(r); + for (let s = 0; s !== r; ++s) + n[s] = t[s].clone(); + } + return this.clippingPlanes = n, this.clipIntersection = e.clipIntersection, this.clipShadows = e.clipShadows, this.shadowSide = e.shadowSide, this.colorWrite = e.colorWrite, this.precision = e.precision, this.polygonOffset = e.polygonOffset, this.polygonOffsetFactor = e.polygonOffsetFactor, this.polygonOffsetUnits = e.polygonOffsetUnits, this.dithering = e.dithering, this.alphaTest = e.alphaTest, this.alphaHash = e.alphaHash, this.alphaToCoverage = e.alphaToCoverage, this.premultipliedAlpha = e.premultipliedAlpha, this.forceSinglePass = e.forceSinglePass, this.visible = e.visible, this.toneMapped = e.toneMapped, this.userData = JSON.parse(JSON.stringify(e.userData)), this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } + set needsUpdate(e) { + e === !0 && this.version++; + } +} +class ls extends Mi { + constructor(e) { + super(), this.isMeshBasicMaterial = !0, this.type = "MeshBasicMaterial", this.color = new Xe(16777215), this.map = null, this.lightMap = null, this.lightMapIntensity = 1, this.aoMap = null, this.aoMapIntensity = 1, this.specularMap = null, this.alphaMap = null, this.envMap = null, this.combine = oo, this.reflectivity = 1, this.refractionRatio = 0.98, this.wireframe = !1, this.wireframeLinewidth = 1, this.wireframeLinecap = "round", this.wireframeLinejoin = "round", this.fog = !0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.color.copy(e.color), this.map = e.map, this.lightMap = e.lightMap, this.lightMapIntensity = e.lightMapIntensity, this.aoMap = e.aoMap, this.aoMapIntensity = e.aoMapIntensity, this.specularMap = e.specularMap, this.alphaMap = e.alphaMap, this.envMap = e.envMap, this.combine = e.combine, this.reflectivity = e.reflectivity, this.refractionRatio = e.refractionRatio, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.wireframeLinecap = e.wireframeLinecap, this.wireframeLinejoin = e.wireframeLinejoin, this.fog = e.fog, this; + } +} +const at = /* @__PURE__ */ new P(), Ii = /* @__PURE__ */ new Ie(); +class Bt { + constructor(e, t, n = !1) { + if (Array.isArray(e)) + throw new TypeError("THREE.BufferAttribute: array should be a Typed Array."); + this.isBufferAttribute = !0, this.name = "", this.array = e, this.itemSize = t, this.count = e !== void 0 ? e.length / t : 0, this.normalized = n, this.usage = ea, this._updateRange = { offset: 0, count: -1 }, this.updateRanges = [], this.gpuType = an, this.version = 0; + } + onUploadCallback() { + } + set needsUpdate(e) { + e === !0 && this.version++; + } + get updateRange() { + return console.warn("THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead."), this._updateRange; + } + setUsage(e) { + return this.usage = e, this; + } + addUpdateRange(e, t) { + this.updateRanges.push({ start: e, count: t }); + } + clearUpdateRanges() { + this.updateRanges.length = 0; + } + copy(e) { + return this.name = e.name, this.array = new e.array.constructor(e.array), this.itemSize = e.itemSize, this.count = e.count, this.normalized = e.normalized, this.usage = e.usage, this.gpuType = e.gpuType, this; + } + copyAt(e, t, n) { + e *= this.itemSize, n *= t.itemSize; + for (let r = 0, s = this.itemSize; r < s; r++) + this.array[e + r] = t.array[n + r]; + return this; + } + copyArray(e) { + return this.array.set(e), this; + } + applyMatrix3(e) { + if (this.itemSize === 2) + for (let t = 0, n = this.count; t < n; t++) + Ii.fromBufferAttribute(this, t), Ii.applyMatrix3(e), this.setXY(t, Ii.x, Ii.y); + else if (this.itemSize === 3) + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyMatrix3(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + applyMatrix4(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyMatrix4(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + applyNormalMatrix(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyNormalMatrix(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + transformDirection(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.transformDirection(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + set(e, t = 0) { + return this.array.set(e, t), this; + } + getComponent(e, t) { + let n = this.array[e * this.itemSize + t]; + return this.normalized && (n = oi(n, this.array)), n; + } + setComponent(e, t, n) { + return this.normalized && (n = xt(n, this.array)), this.array[e * this.itemSize + t] = n, this; + } + getX(e) { + let t = this.array[e * this.itemSize]; + return this.normalized && (t = oi(t, this.array)), t; + } + setX(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize] = t, this; + } + getY(e) { + let t = this.array[e * this.itemSize + 1]; + return this.normalized && (t = oi(t, this.array)), t; + } + setY(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 1] = t, this; + } + getZ(e) { + let t = this.array[e * this.itemSize + 2]; + return this.normalized && (t = oi(t, this.array)), t; + } + setZ(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 2] = t, this; + } + getW(e) { + let t = this.array[e * this.itemSize + 3]; + return this.normalized && (t = oi(t, this.array)), t; + } + setW(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 3] = t, this; + } + setXY(e, t, n) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this; + } + setXYZ(e, t, n, r) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array), r = xt(r, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this.array[e + 2] = r, this; + } + setXYZW(e, t, n, r, s) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array), r = xt(r, this.array), s = xt(s, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this.array[e + 2] = r, this.array[e + 3] = s, this; + } + onUpload(e) { + return this.onUploadCallback = e, this; + } + clone() { + return new this.constructor(this.array, this.itemSize).copy(this); + } + toJSON() { + const e = { + itemSize: this.itemSize, + type: this.array.constructor.name, + array: Array.from(this.array), + normalized: this.normalized + }; + return this.name !== "" && (e.name = this.name), this.usage !== ea && (e.usage = this.usage), e; + } +} +class wo extends Bt { + constructor(e, t, n) { + super(new Uint16Array(e), t, n); + } +} +class Ro extends Bt { + constructor(e, t, n) { + super(new Uint32Array(e), t, n); + } +} +class Ht extends Bt { + constructor(e, t, n) { + super(new Float32Array(e), t, n); + } +} +let lc = 0; +const wt = /* @__PURE__ */ new Qe(), Nr = /* @__PURE__ */ new dt(), Hn = /* @__PURE__ */ new P(), yt = /* @__PURE__ */ new Cn(), hi = /* @__PURE__ */ new Cn(), ut = /* @__PURE__ */ new P(); +class hn extends Rn { + constructor() { + super(), this.isBufferGeometry = !0, Object.defineProperty(this, "id", { value: lc++ }), this.uuid = vi(), this.name = "", this.type = "BufferGeometry", this.index = null, this.attributes = {}, this.morphAttributes = {}, this.morphTargetsRelative = !1, this.groups = [], this.boundingBox = null, this.boundingSphere = null, this.drawRange = { start: 0, count: 1 / 0 }, this.userData = {}; + } + getIndex() { + return this.index; + } + setIndex(e) { + return Array.isArray(e) ? this.index = new (Mo(e) ? Ro : wo)(e, 1) : this.index = e, this; + } + getAttribute(e) { + return this.attributes[e]; + } + setAttribute(e, t) { + return this.attributes[e] = t, this; + } + deleteAttribute(e) { + return delete this.attributes[e], this; + } + hasAttribute(e) { + return this.attributes[e] !== void 0; + } + addGroup(e, t, n = 0) { + this.groups.push({ + start: e, + count: t, + materialIndex: n + }); + } + clearGroups() { + this.groups = []; + } + setDrawRange(e, t) { + this.drawRange.start = e, this.drawRange.count = t; + } + applyMatrix4(e) { + const t = this.attributes.position; + t !== void 0 && (t.applyMatrix4(e), t.needsUpdate = !0); + const n = this.attributes.normal; + if (n !== void 0) { + const s = new Ve().getNormalMatrix(e); + n.applyNormalMatrix(s), n.needsUpdate = !0; + } + const r = this.attributes.tangent; + return r !== void 0 && (r.transformDirection(e), r.needsUpdate = !0), this.boundingBox !== null && this.computeBoundingBox(), this.boundingSphere !== null && this.computeBoundingSphere(), this; + } + applyQuaternion(e) { + return wt.makeRotationFromQuaternion(e), this.applyMatrix4(wt), this; + } + rotateX(e) { + return wt.makeRotationX(e), this.applyMatrix4(wt), this; + } + rotateY(e) { + return wt.makeRotationY(e), this.applyMatrix4(wt), this; + } + rotateZ(e) { + return wt.makeRotationZ(e), this.applyMatrix4(wt), this; + } + translate(e, t, n) { + return wt.makeTranslation(e, t, n), this.applyMatrix4(wt), this; + } + scale(e, t, n) { + return wt.makeScale(e, t, n), this.applyMatrix4(wt), this; + } + lookAt(e) { + return Nr.lookAt(e), Nr.updateMatrix(), this.applyMatrix4(Nr.matrix), this; + } + center() { + return this.computeBoundingBox(), this.boundingBox.getCenter(Hn).negate(), this.translate(Hn.x, Hn.y, Hn.z), this; + } + setFromPoints(e) { + const t = []; + for (let n = 0, r = e.length; n < r; n++) { + const s = e[n]; + t.push(s.x, s.y, s.z || 0); + } + return this.setAttribute("position", new Ht(t, 3)), this; + } + computeBoundingBox() { + this.boundingBox === null && (this.boundingBox = new Cn()); + const e = this.attributes.position, t = this.morphAttributes.position; + if (e && e.isGLBufferAttribute) { + console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set "mesh.frustumCulled" to "false".', this), this.boundingBox.set( + new P(-1 / 0, -1 / 0, -1 / 0), + new P(1 / 0, 1 / 0, 1 / 0) + ); + return; + } + if (e !== void 0) { + if (this.boundingBox.setFromBufferAttribute(e), t) + for (let n = 0, r = t.length; n < r; n++) { + const s = t[n]; + yt.setFromBufferAttribute(s), this.morphTargetsRelative ? (ut.addVectors(this.boundingBox.min, yt.min), this.boundingBox.expandByPoint(ut), ut.addVectors(this.boundingBox.max, yt.max), this.boundingBox.expandByPoint(ut)) : (this.boundingBox.expandByPoint(yt.min), this.boundingBox.expandByPoint(yt.max)); + } + } else + this.boundingBox.makeEmpty(); + (isNaN(this.boundingBox.min.x) || isNaN(this.boundingBox.min.y) || isNaN(this.boundingBox.min.z)) && console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.', this); + } + computeBoundingSphere() { + this.boundingSphere === null && (this.boundingSphere = new xi()); + const e = this.attributes.position, t = this.morphAttributes.position; + if (e && e.isGLBufferAttribute) { + console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set "mesh.frustumCulled" to "false".', this), this.boundingSphere.set(new P(), 1 / 0); + return; + } + if (e) { + const n = this.boundingSphere.center; + if (yt.setFromBufferAttribute(e), t) + for (let s = 0, o = t.length; s < o; s++) { + const a = t[s]; + hi.setFromBufferAttribute(a), this.morphTargetsRelative ? (ut.addVectors(yt.min, hi.min), yt.expandByPoint(ut), ut.addVectors(yt.max, hi.max), yt.expandByPoint(ut)) : (yt.expandByPoint(hi.min), yt.expandByPoint(hi.max)); + } + yt.getCenter(n); + let r = 0; + for (let s = 0, o = e.count; s < o; s++) + ut.fromBufferAttribute(e, s), r = Math.max(r, n.distanceToSquared(ut)); + if (t) + for (let s = 0, o = t.length; s < o; s++) { + const a = t[s], l = this.morphTargetsRelative; + for (let c = 0, h = a.count; c < h; c++) + ut.fromBufferAttribute(a, c), l && (Hn.fromBufferAttribute(e, c), ut.add(Hn)), r = Math.max(r, n.distanceToSquared(ut)); + } + this.boundingSphere.radius = Math.sqrt(r), isNaN(this.boundingSphere.radius) && console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.', this); + } + } + computeTangents() { + const e = this.index, t = this.attributes; + if (e === null || t.position === void 0 || t.normal === void 0 || t.uv === void 0) { + console.error("THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)"); + return; + } + const n = e.array, r = t.position.array, s = t.normal.array, o = t.uv.array, a = r.length / 3; + this.hasAttribute("tangent") === !1 && this.setAttribute("tangent", new Bt(new Float32Array(4 * a), 4)); + const l = this.getAttribute("tangent").array, c = [], h = []; + for (let y = 0; y < a; y++) + c[y] = new P(), h[y] = new P(); + const d = new P(), p = new P(), m = new P(), g = new Ie(), v = new Ie(), f = new Ie(), u = new P(), b = new P(); + function S(y, z, Z) { + d.fromArray(r, y * 3), p.fromArray(r, z * 3), m.fromArray(r, Z * 3), g.fromArray(o, y * 2), v.fromArray(o, z * 2), f.fromArray(o, Z * 2), p.sub(d), m.sub(d), v.sub(g), f.sub(g); + const re = 1 / (v.x * f.y - f.x * v.y); + isFinite(re) && (u.copy(p).multiplyScalar(f.y).addScaledVector(m, -v.y).multiplyScalar(re), b.copy(m).multiplyScalar(v.x).addScaledVector(p, -f.x).multiplyScalar(re), c[y].add(u), c[z].add(u), c[Z].add(u), h[y].add(b), h[z].add(b), h[Z].add(b)); + } + let R = this.groups; + R.length === 0 && (R = [{ + start: 0, + count: n.length + }]); + for (let y = 0, z = R.length; y < z; ++y) { + const Z = R[y], re = Z.start, L = Z.count; + for (let F = re, V = re + L; F < V; F += 3) + S( + n[F + 0], + n[F + 1], + n[F + 2] + ); + } + const D = new P(), C = new P(), A = new P(), W = new P(); + function x(y) { + A.fromArray(s, y * 3), W.copy(A); + const z = c[y]; + D.copy(z), D.sub(A.multiplyScalar(A.dot(z))).normalize(), C.crossVectors(W, z); + const re = C.dot(h[y]) < 0 ? -1 : 1; + l[y * 4] = D.x, l[y * 4 + 1] = D.y, l[y * 4 + 2] = D.z, l[y * 4 + 3] = re; + } + for (let y = 0, z = R.length; y < z; ++y) { + const Z = R[y], re = Z.start, L = Z.count; + for (let F = re, V = re + L; F < V; F += 3) + x(n[F + 0]), x(n[F + 1]), x(n[F + 2]); + } + } + computeVertexNormals() { + const e = this.index, t = this.getAttribute("position"); + if (t !== void 0) { + let n = this.getAttribute("normal"); + if (n === void 0) + n = new Bt(new Float32Array(t.count * 3), 3), this.setAttribute("normal", n); + else + for (let p = 0, m = n.count; p < m; p++) + n.setXYZ(p, 0, 0, 0); + const r = new P(), s = new P(), o = new P(), a = new P(), l = new P(), c = new P(), h = new P(), d = new P(); + if (e) + for (let p = 0, m = e.count; p < m; p += 3) { + const g = e.getX(p + 0), v = e.getX(p + 1), f = e.getX(p + 2); + r.fromBufferAttribute(t, g), s.fromBufferAttribute(t, v), o.fromBufferAttribute(t, f), h.subVectors(o, s), d.subVectors(r, s), h.cross(d), a.fromBufferAttribute(n, g), l.fromBufferAttribute(n, v), c.fromBufferAttribute(n, f), a.add(h), l.add(h), c.add(h), n.setXYZ(g, a.x, a.y, a.z), n.setXYZ(v, l.x, l.y, l.z), n.setXYZ(f, c.x, c.y, c.z); + } + else + for (let p = 0, m = t.count; p < m; p += 3) + r.fromBufferAttribute(t, p + 0), s.fromBufferAttribute(t, p + 1), o.fromBufferAttribute(t, p + 2), h.subVectors(o, s), d.subVectors(r, s), h.cross(d), n.setXYZ(p + 0, h.x, h.y, h.z), n.setXYZ(p + 1, h.x, h.y, h.z), n.setXYZ(p + 2, h.x, h.y, h.z); + this.normalizeNormals(), n.needsUpdate = !0; + } + } + normalizeNormals() { + const e = this.attributes.normal; + for (let t = 0, n = e.count; t < n; t++) + ut.fromBufferAttribute(e, t), ut.normalize(), e.setXYZ(t, ut.x, ut.y, ut.z); + } + toNonIndexed() { + function e(a, l) { + const c = a.array, h = a.itemSize, d = a.normalized, p = new c.constructor(l.length * h); + let m = 0, g = 0; + for (let v = 0, f = l.length; v < f; v++) { + a.isInterleavedBufferAttribute ? m = l[v] * a.data.stride + a.offset : m = l[v] * h; + for (let u = 0; u < h; u++) + p[g++] = c[m++]; + } + return new Bt(p, h, d); + } + if (this.index === null) + return console.warn("THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed."), this; + const t = new hn(), n = this.index.array, r = this.attributes; + for (const a in r) { + const l = r[a], c = e(l, n); + t.setAttribute(a, c); + } + const s = this.morphAttributes; + for (const a in s) { + const l = [], c = s[a]; + for (let h = 0, d = c.length; h < d; h++) { + const p = c[h], m = e(p, n); + l.push(m); + } + t.morphAttributes[a] = l; + } + t.morphTargetsRelative = this.morphTargetsRelative; + const o = this.groups; + for (let a = 0, l = o.length; a < l; a++) { + const c = o[a]; + t.addGroup(c.start, c.count, c.materialIndex); + } + return t; + } + toJSON() { + const e = { + metadata: { + version: 4.6, + type: "BufferGeometry", + generator: "BufferGeometry.toJSON" + } + }; + if (e.uuid = this.uuid, e.type = this.type, this.name !== "" && (e.name = this.name), Object.keys(this.userData).length > 0 && (e.userData = this.userData), this.parameters !== void 0) { + const l = this.parameters; + for (const c in l) + l[c] !== void 0 && (e[c] = l[c]); + return e; + } + e.data = { attributes: {} }; + const t = this.index; + t !== null && (e.data.index = { + type: t.array.constructor.name, + array: Array.prototype.slice.call(t.array) + }); + const n = this.attributes; + for (const l in n) { + const c = n[l]; + e.data.attributes[l] = c.toJSON(e.data); + } + const r = {}; + let s = !1; + for (const l in this.morphAttributes) { + const c = this.morphAttributes[l], h = []; + for (let d = 0, p = c.length; d < p; d++) { + const m = c[d]; + h.push(m.toJSON(e.data)); + } + h.length > 0 && (r[l] = h, s = !0); + } + s && (e.data.morphAttributes = r, e.data.morphTargetsRelative = this.morphTargetsRelative); + const o = this.groups; + o.length > 0 && (e.data.groups = JSON.parse(JSON.stringify(o))); + const a = this.boundingSphere; + return a !== null && (e.data.boundingSphere = { + center: a.center.toArray(), + radius: a.radius + }), e; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.index = null, this.attributes = {}, this.morphAttributes = {}, this.groups = [], this.boundingBox = null, this.boundingSphere = null; + const t = {}; + this.name = e.name; + const n = e.index; + n !== null && this.setIndex(n.clone(t)); + const r = e.attributes; + for (const c in r) { + const h = r[c]; + this.setAttribute(c, h.clone(t)); + } + const s = e.morphAttributes; + for (const c in s) { + const h = [], d = s[c]; + for (let p = 0, m = d.length; p < m; p++) + h.push(d[p].clone(t)); + this.morphAttributes[c] = h; + } + this.morphTargetsRelative = e.morphTargetsRelative; + const o = e.groups; + for (let c = 0, h = o.length; c < h; c++) { + const d = o[c]; + this.addGroup(d.start, d.count, d.materialIndex); + } + const a = e.boundingBox; + a !== null && (this.boundingBox = a.clone()); + const l = e.boundingSphere; + return l !== null && (this.boundingSphere = l.clone()), this.drawRange.start = e.drawRange.start, this.drawRange.count = e.drawRange.count, this.userData = e.userData, this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +const pa = /* @__PURE__ */ new Qe(), gn = /* @__PURE__ */ new To(), Ni = /* @__PURE__ */ new xi(), ma = /* @__PURE__ */ new P(), Vn = /* @__PURE__ */ new P(), kn = /* @__PURE__ */ new P(), Wn = /* @__PURE__ */ new P(), Fr = /* @__PURE__ */ new P(), Fi = /* @__PURE__ */ new P(), Oi = /* @__PURE__ */ new Ie(), Bi = /* @__PURE__ */ new Ie(), zi = /* @__PURE__ */ new Ie(), _a = /* @__PURE__ */ new P(), ga = /* @__PURE__ */ new P(), va = /* @__PURE__ */ new P(), Gi = /* @__PURE__ */ new P(), Hi = /* @__PURE__ */ new P(); +class Ot extends dt { + constructor(e = new hn(), t = new ls()) { + super(), this.isMesh = !0, this.type = "Mesh", this.geometry = e, this.material = t, this.updateMorphTargets(); + } + copy(e, t) { + return super.copy(e, t), e.morphTargetInfluences !== void 0 && (this.morphTargetInfluences = e.morphTargetInfluences.slice()), e.morphTargetDictionary !== void 0 && (this.morphTargetDictionary = Object.assign({}, e.morphTargetDictionary)), this.material = Array.isArray(e.material) ? e.material.slice() : e.material, this.geometry = e.geometry, this; + } + updateMorphTargets() { + const t = this.geometry.morphAttributes, n = Object.keys(t); + if (n.length > 0) { + const r = t[n[0]]; + if (r !== void 0) { + this.morphTargetInfluences = [], this.morphTargetDictionary = {}; + for (let s = 0, o = r.length; s < o; s++) { + const a = r[s].name || String(s); + this.morphTargetInfluences.push(0), this.morphTargetDictionary[a] = s; + } + } + } + } + getVertexPosition(e, t) { + const n = this.geometry, r = n.attributes.position, s = n.morphAttributes.position, o = n.morphTargetsRelative; + t.fromBufferAttribute(r, e); + const a = this.morphTargetInfluences; + if (s && a) { + Fi.set(0, 0, 0); + for (let l = 0, c = s.length; l < c; l++) { + const h = a[l], d = s[l]; + h !== 0 && (Fr.fromBufferAttribute(d, e), o ? Fi.addScaledVector(Fr, h) : Fi.addScaledVector(Fr.sub(t), h)); + } + t.add(Fi); + } + return t; + } + raycast(e, t) { + const n = this.geometry, r = this.material, s = this.matrixWorld; + r !== void 0 && (n.boundingSphere === null && n.computeBoundingSphere(), Ni.copy(n.boundingSphere), Ni.applyMatrix4(s), gn.copy(e.ray).recast(e.near), !(Ni.containsPoint(gn.origin) === !1 && (gn.intersectSphere(Ni, ma) === null || gn.origin.distanceToSquared(ma) > (e.far - e.near) ** 2)) && (pa.copy(s).invert(), gn.copy(e.ray).applyMatrix4(pa), !(n.boundingBox !== null && gn.intersectsBox(n.boundingBox) === !1) && this._computeIntersections(e, t, gn))); + } + _computeIntersections(e, t, n) { + let r; + const s = this.geometry, o = this.material, a = s.index, l = s.attributes.position, c = s.attributes.uv, h = s.attributes.uv1, d = s.attributes.normal, p = s.groups, m = s.drawRange; + if (a !== null) + if (Array.isArray(o)) + for (let g = 0, v = p.length; g < v; g++) { + const f = p[g], u = o[f.materialIndex], b = Math.max(f.start, m.start), S = Math.min(a.count, Math.min(f.start + f.count, m.start + m.count)); + for (let R = b, D = S; R < D; R += 3) { + const C = a.getX(R), A = a.getX(R + 1), W = a.getX(R + 2); + r = Vi(this, u, e, n, c, h, d, C, A, W), r && (r.faceIndex = Math.floor(R / 3), r.face.materialIndex = f.materialIndex, t.push(r)); + } + } + else { + const g = Math.max(0, m.start), v = Math.min(a.count, m.start + m.count); + for (let f = g, u = v; f < u; f += 3) { + const b = a.getX(f), S = a.getX(f + 1), R = a.getX(f + 2); + r = Vi(this, o, e, n, c, h, d, b, S, R), r && (r.faceIndex = Math.floor(f / 3), t.push(r)); + } + } + else if (l !== void 0) + if (Array.isArray(o)) + for (let g = 0, v = p.length; g < v; g++) { + const f = p[g], u = o[f.materialIndex], b = Math.max(f.start, m.start), S = Math.min(l.count, Math.min(f.start + f.count, m.start + m.count)); + for (let R = b, D = S; R < D; R += 3) { + const C = R, A = R + 1, W = R + 2; + r = Vi(this, u, e, n, c, h, d, C, A, W), r && (r.faceIndex = Math.floor(R / 3), r.face.materialIndex = f.materialIndex, t.push(r)); + } + } + else { + const g = Math.max(0, m.start), v = Math.min(l.count, m.start + m.count); + for (let f = g, u = v; f < u; f += 3) { + const b = f, S = f + 1, R = f + 2; + r = Vi(this, o, e, n, c, h, d, b, S, R), r && (r.faceIndex = Math.floor(f / 3), t.push(r)); + } + } + } +} +function cc(i, e, t, n, r, s, o, a) { + let l; + if (e.side === Mt ? l = n.intersectTriangle(o, s, r, !0, a) : l = n.intersectTriangle(r, s, o, e.side === un, a), l === null) return null; + Hi.copy(a), Hi.applyMatrix4(i.matrixWorld); + const c = t.ray.origin.distanceTo(Hi); + return c < t.near || c > t.far ? null : { + distance: c, + point: Hi.clone(), + object: i + }; +} +function Vi(i, e, t, n, r, s, o, a, l, c) { + i.getVertexPosition(a, Vn), i.getVertexPosition(l, kn), i.getVertexPosition(c, Wn); + const h = cc(i, e, t, n, Vn, kn, Wn, Gi); + if (h) { + r && (Oi.fromBufferAttribute(r, a), Bi.fromBufferAttribute(r, l), zi.fromBufferAttribute(r, c), h.uv = It.getInterpolation(Gi, Vn, kn, Wn, Oi, Bi, zi, new Ie())), s && (Oi.fromBufferAttribute(s, a), Bi.fromBufferAttribute(s, l), zi.fromBufferAttribute(s, c), h.uv1 = It.getInterpolation(Gi, Vn, kn, Wn, Oi, Bi, zi, new Ie()), h.uv2 = h.uv1), o && (_a.fromBufferAttribute(o, a), ga.fromBufferAttribute(o, l), va.fromBufferAttribute(o, c), h.normal = It.getInterpolation(Gi, Vn, kn, Wn, _a, ga, va, new P()), h.normal.dot(n.direction) > 0 && h.normal.multiplyScalar(-1)); + const d = { + a, + b: l, + c, + normal: new P(), + materialIndex: 0 + }; + It.getNormal(Vn, kn, Wn, d.normal), h.face = d; + } + return h; +} +class ii extends hn { + constructor(e = 1, t = 1, n = 1, r = 1, s = 1, o = 1) { + super(), this.type = "BoxGeometry", this.parameters = { + width: e, + height: t, + depth: n, + widthSegments: r, + heightSegments: s, + depthSegments: o + }; + const a = this; + r = Math.floor(r), s = Math.floor(s), o = Math.floor(o); + const l = [], c = [], h = [], d = []; + let p = 0, m = 0; + g("z", "y", "x", -1, -1, n, t, e, o, s, 0), g("z", "y", "x", 1, -1, n, t, -e, o, s, 1), g("x", "z", "y", 1, 1, e, n, t, r, o, 2), g("x", "z", "y", 1, -1, e, n, -t, r, o, 3), g("x", "y", "z", 1, -1, e, t, n, r, s, 4), g("x", "y", "z", -1, -1, e, t, -n, r, s, 5), this.setIndex(l), this.setAttribute("position", new Ht(c, 3)), this.setAttribute("normal", new Ht(h, 3)), this.setAttribute("uv", new Ht(d, 2)); + function g(v, f, u, b, S, R, D, C, A, W, x) { + const y = R / A, z = D / W, Z = R / 2, re = D / 2, L = C / 2, F = A + 1, V = W + 1; + let Y = 0, X = 0; + const k = new P(); + for (let q = 0; q < V; q++) { + const Q = q * z - re; + for (let ce = 0; ce < F; ce++) { + const H = ce * y - Z; + k[v] = H * b, k[f] = Q * S, k[u] = L, c.push(k.x, k.y, k.z), k[v] = 0, k[f] = 0, k[u] = C > 0 ? 1 : -1, h.push(k.x, k.y, k.z), d.push(ce / A), d.push(1 - q / W), Y += 1; + } + } + for (let q = 0; q < W; q++) + for (let Q = 0; Q < A; Q++) { + const ce = p + Q + F * q, H = p + Q + F * (q + 1), j = p + (Q + 1) + F * (q + 1), oe = p + (Q + 1) + F * q; + l.push(ce, H, oe), l.push(H, j, oe), X += 6; + } + a.addGroup(m, X, x), m += X, p += Y; + } + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new ii(e.width, e.height, e.depth, e.widthSegments, e.heightSegments, e.depthSegments); + } +} +function ni(i) { + const e = {}; + for (const t in i) { + e[t] = {}; + for (const n in i[t]) { + const r = i[t][n]; + r && (r.isColor || r.isMatrix3 || r.isMatrix4 || r.isVector2 || r.isVector3 || r.isVector4 || r.isTexture || r.isQuaternion) ? r.isRenderTargetTexture ? (console.warn("UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms()."), e[t][n] = null) : e[t][n] = r.clone() : Array.isArray(r) ? e[t][n] = r.slice() : e[t][n] = r; + } + } + return e; +} +function _t(i) { + const e = {}; + for (let t = 0; t < i.length; t++) { + const n = ni(i[t]); + for (const r in n) + e[r] = n[r]; + } + return e; +} +function uc(i) { + const e = []; + for (let t = 0; t < i.length; t++) + e.push(i[t].clone()); + return e; +} +function Co(i) { + return i.getRenderTarget() === null ? i.outputColorSpace : Ke.workingColorSpace; +} +const hc = { clone: ni, merge: _t }; +var dc = `void main() { + gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 ); +}`, fc = `void main() { + gl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 ); +}`; +class wn extends Mi { + constructor(e) { + super(), this.isShaderMaterial = !0, this.type = "ShaderMaterial", this.defines = {}, this.uniforms = {}, this.uniformsGroups = [], this.vertexShader = dc, this.fragmentShader = fc, this.linewidth = 1, this.wireframe = !1, this.wireframeLinewidth = 1, this.fog = !1, this.lights = !1, this.clipping = !1, this.forceSinglePass = !0, this.extensions = { + derivatives: !1, + // set to use derivatives + fragDepth: !1, + // set to use fragment depth values + drawBuffers: !1, + // set to use draw buffers + shaderTextureLOD: !1, + // set to use shader texture LOD + clipCullDistance: !1 + // set to use vertex shader clipping + }, this.defaultAttributeValues = { + color: [1, 1, 1], + uv: [0, 0], + uv1: [0, 0] + }, this.index0AttributeName = void 0, this.uniformsNeedUpdate = !1, this.glslVersion = null, e !== void 0 && this.setValues(e); + } + copy(e) { + return super.copy(e), this.fragmentShader = e.fragmentShader, this.vertexShader = e.vertexShader, this.uniforms = ni(e.uniforms), this.uniformsGroups = uc(e.uniformsGroups), this.defines = Object.assign({}, e.defines), this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.fog = e.fog, this.lights = e.lights, this.clipping = e.clipping, this.extensions = Object.assign({}, e.extensions), this.glslVersion = e.glslVersion, this; + } + toJSON(e) { + const t = super.toJSON(e); + t.glslVersion = this.glslVersion, t.uniforms = {}; + for (const r in this.uniforms) { + const o = this.uniforms[r].value; + o && o.isTexture ? t.uniforms[r] = { + type: "t", + value: o.toJSON(e).uuid + } : o && o.isColor ? t.uniforms[r] = { + type: "c", + value: o.getHex() + } : o && o.isVector2 ? t.uniforms[r] = { + type: "v2", + value: o.toArray() + } : o && o.isVector3 ? t.uniforms[r] = { + type: "v3", + value: o.toArray() + } : o && o.isVector4 ? t.uniforms[r] = { + type: "v4", + value: o.toArray() + } : o && o.isMatrix3 ? t.uniforms[r] = { + type: "m3", + value: o.toArray() + } : o && o.isMatrix4 ? t.uniforms[r] = { + type: "m4", + value: o.toArray() + } : t.uniforms[r] = { + value: o + }; + } + Object.keys(this.defines).length > 0 && (t.defines = this.defines), t.vertexShader = this.vertexShader, t.fragmentShader = this.fragmentShader, t.lights = this.lights, t.clipping = this.clipping; + const n = {}; + for (const r in this.extensions) + this.extensions[r] === !0 && (n[r] = !0); + return Object.keys(n).length > 0 && (t.extensions = n), t; + } +} +class Lo extends dt { + constructor() { + super(), this.isCamera = !0, this.type = "Camera", this.matrixWorldInverse = new Qe(), this.projectionMatrix = new Qe(), this.projectionMatrixInverse = new Qe(), this.coordinateSystem = Zt; + } + copy(e, t) { + return super.copy(e, t), this.matrixWorldInverse.copy(e.matrixWorldInverse), this.projectionMatrix.copy(e.projectionMatrix), this.projectionMatrixInverse.copy(e.projectionMatrixInverse), this.coordinateSystem = e.coordinateSystem, this; + } + getWorldDirection(e) { + return super.getWorldDirection(e).negate(); + } + updateMatrixWorld(e) { + super.updateMatrixWorld(e), this.matrixWorldInverse.copy(this.matrixWorld).invert(); + } + updateWorldMatrix(e, t) { + super.updateWorldMatrix(e, t), this.matrixWorldInverse.copy(this.matrixWorld).invert(); + } + clone() { + return new this.constructor().copy(this); + } +} +class Tt extends Lo { + constructor(e = 50, t = 1, n = 0.1, r = 2e3) { + super(), this.isPerspectiveCamera = !0, this.type = "PerspectiveCamera", this.fov = e, this.zoom = 1, this.near = n, this.far = r, this.focus = 10, this.aspect = t, this.view = null, this.filmGauge = 35, this.filmOffset = 0, this.updateProjectionMatrix(); + } + copy(e, t) { + return super.copy(e, t), this.fov = e.fov, this.zoom = e.zoom, this.near = e.near, this.far = e.far, this.focus = e.focus, this.aspect = e.aspect, this.view = e.view === null ? null : Object.assign({}, e.view), this.filmGauge = e.filmGauge, this.filmOffset = e.filmOffset, this; + } + /** + * Sets the FOV by focal length in respect to the current .filmGauge. + * + * The default film gauge is 35, so that the focal length can be specified for + * a 35mm (full frame) camera. + * + * Values for focal length and film gauge must have the same unit. + */ + setFocalLength(e) { + const t = 0.5 * this.getFilmHeight() / e; + this.fov = ns * 2 * Math.atan(t), this.updateProjectionMatrix(); + } + /** + * Calculates the focal length from the current .fov and .filmGauge. + */ + getFocalLength() { + const e = Math.tan(Ki * 0.5 * this.fov); + return 0.5 * this.getFilmHeight() / e; + } + getEffectiveFOV() { + return ns * 2 * Math.atan( + Math.tan(Ki * 0.5 * this.fov) / this.zoom + ); + } + getFilmWidth() { + return this.filmGauge * Math.min(this.aspect, 1); + } + getFilmHeight() { + return this.filmGauge / Math.max(this.aspect, 1); + } + /** + * Sets an offset in a larger frustum. This is useful for multi-window or + * multi-monitor/multi-machine setups. + * + * For example, if you have 3x2 monitors and each monitor is 1920x1080 and + * the monitors are in grid like this + * + * +---+---+---+ + * | A | B | C | + * +---+---+---+ + * | D | E | F | + * +---+---+---+ + * + * then for each monitor you would call it like this + * + * const w = 1920; + * const h = 1080; + * const fullWidth = w * 3; + * const fullHeight = h * 2; + * + * --A-- + * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h ); + * --B-- + * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h ); + * --C-- + * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h ); + * --D-- + * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h ); + * --E-- + * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h ); + * --F-- + * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h ); + * + * Note there is no reason monitors have to be the same size or in a grid. + */ + setViewOffset(e, t, n, r, s, o) { + this.aspect = e / t, this.view === null && (this.view = { + enabled: !0, + fullWidth: 1, + fullHeight: 1, + offsetX: 0, + offsetY: 0, + width: 1, + height: 1 + }), this.view.enabled = !0, this.view.fullWidth = e, this.view.fullHeight = t, this.view.offsetX = n, this.view.offsetY = r, this.view.width = s, this.view.height = o, this.updateProjectionMatrix(); + } + clearViewOffset() { + this.view !== null && (this.view.enabled = !1), this.updateProjectionMatrix(); + } + updateProjectionMatrix() { + const e = this.near; + let t = e * Math.tan(Ki * 0.5 * this.fov) / this.zoom, n = 2 * t, r = this.aspect * n, s = -0.5 * r; + const o = this.view; + if (this.view !== null && this.view.enabled) { + const l = o.fullWidth, c = o.fullHeight; + s += o.offsetX * r / l, t -= o.offsetY * n / c, r *= o.width / l, n *= o.height / c; + } + const a = this.filmOffset; + a !== 0 && (s += e * a / this.getFilmWidth()), this.projectionMatrix.makePerspective(s, s + r, t, t - n, e, this.far, this.coordinateSystem), this.projectionMatrixInverse.copy(this.projectionMatrix).invert(); + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.fov = this.fov, t.object.zoom = this.zoom, t.object.near = this.near, t.object.far = this.far, t.object.focus = this.focus, t.object.aspect = this.aspect, this.view !== null && (t.object.view = Object.assign({}, this.view)), t.object.filmGauge = this.filmGauge, t.object.filmOffset = this.filmOffset, t; + } +} +const Xn = -90, qn = 1; +class pc extends dt { + constructor(e, t, n) { + super(), this.type = "CubeCamera", this.renderTarget = n, this.coordinateSystem = null, this.activeMipmapLevel = 0; + const r = new Tt(Xn, qn, e, t); + r.layers = this.layers, this.add(r); + const s = new Tt(Xn, qn, e, t); + s.layers = this.layers, this.add(s); + const o = new Tt(Xn, qn, e, t); + o.layers = this.layers, this.add(o); + const a = new Tt(Xn, qn, e, t); + a.layers = this.layers, this.add(a); + const l = new Tt(Xn, qn, e, t); + l.layers = this.layers, this.add(l); + const c = new Tt(Xn, qn, e, t); + c.layers = this.layers, this.add(c); + } + updateCoordinateSystem() { + const e = this.coordinateSystem, t = this.children.concat(), [n, r, s, o, a, l] = t; + for (const c of t) this.remove(c); + if (e === Zt) + n.up.set(0, 1, 0), n.lookAt(1, 0, 0), r.up.set(0, 1, 0), r.lookAt(-1, 0, 0), s.up.set(0, 0, -1), s.lookAt(0, 1, 0), o.up.set(0, 0, 1), o.lookAt(0, -1, 0), a.up.set(0, 1, 0), a.lookAt(0, 0, 1), l.up.set(0, 1, 0), l.lookAt(0, 0, -1); + else if (e === tr) + n.up.set(0, -1, 0), n.lookAt(-1, 0, 0), r.up.set(0, -1, 0), r.lookAt(1, 0, 0), s.up.set(0, 0, 1), s.lookAt(0, 1, 0), o.up.set(0, 0, -1), o.lookAt(0, -1, 0), a.up.set(0, -1, 0), a.lookAt(0, 0, 1), l.up.set(0, -1, 0), l.lookAt(0, 0, -1); + else + throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: " + e); + for (const c of t) + this.add(c), c.updateMatrixWorld(); + } + update(e, t) { + this.parent === null && this.updateMatrixWorld(); + const { renderTarget: n, activeMipmapLevel: r } = this; + this.coordinateSystem !== e.coordinateSystem && (this.coordinateSystem = e.coordinateSystem, this.updateCoordinateSystem()); + const [s, o, a, l, c, h] = this.children, d = e.getRenderTarget(), p = e.getActiveCubeFace(), m = e.getActiveMipmapLevel(), g = e.xr.enabled; + e.xr.enabled = !1; + const v = n.texture.generateMipmaps; + n.texture.generateMipmaps = !1, e.setRenderTarget(n, 0, r), e.render(t, s), e.setRenderTarget(n, 1, r), e.render(t, o), e.setRenderTarget(n, 2, r), e.render(t, a), e.setRenderTarget(n, 3, r), e.render(t, l), e.setRenderTarget(n, 4, r), e.render(t, c), n.texture.generateMipmaps = v, e.setRenderTarget(n, 5, r), e.render(t, h), e.setRenderTarget(d, p, m), e.xr.enabled = g, n.texture.needsPMREMUpdate = !0; + } +} +class Po extends bt { + constructor(e, t, n, r, s, o, a, l, c, h) { + e = e !== void 0 ? e : [], t = t !== void 0 ? t : Qn, super(e, t, n, r, s, o, a, l, c, h), this.isCubeTexture = !0, this.flipY = !1; + } + get images() { + return this.image; + } + set images(e) { + this.image = e; + } +} +class mc extends bn { + constructor(e = 1, t = {}) { + super(e, e, t), this.isWebGLCubeRenderTarget = !0; + const n = { width: e, height: e, depth: 1 }, r = [n, n, n, n, n, n]; + t.encoding !== void 0 && (mi("THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace."), t.colorSpace = t.encoding === Tn ? ht : Ct), this.texture = new Po(r, t.mapping, t.wrapS, t.wrapT, t.magFilter, t.minFilter, t.format, t.type, t.anisotropy, t.colorSpace), this.texture.isRenderTargetTexture = !0, this.texture.generateMipmaps = t.generateMipmaps !== void 0 ? t.generateMipmaps : !1, this.texture.minFilter = t.minFilter !== void 0 ? t.minFilter : Rt; + } + fromEquirectangularTexture(e, t) { + this.texture.type = t.type, this.texture.colorSpace = t.colorSpace, this.texture.generateMipmaps = t.generateMipmaps, this.texture.minFilter = t.minFilter, this.texture.magFilter = t.magFilter; + const n = { + uniforms: { + tEquirect: { value: null } + }, + vertexShader: ( + /* glsl */ + ` + + varying vec3 vWorldDirection; + + vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); + + } + + void main() { + + vWorldDirection = transformDirection( position, modelMatrix ); + + #include + #include + + } + ` + ), + fragmentShader: ( + /* glsl */ + ` + + uniform sampler2D tEquirect; + + varying vec3 vWorldDirection; + + #include + + void main() { + + vec3 direction = normalize( vWorldDirection ); + + vec2 sampleUV = equirectUv( direction ); + + gl_FragColor = texture2D( tEquirect, sampleUV ); + + } + ` + ) + }, r = new ii(5, 5, 5), s = new wn({ + name: "CubemapFromEquirect", + uniforms: ni(n.uniforms), + vertexShader: n.vertexShader, + fragmentShader: n.fragmentShader, + side: Mt, + blending: on + }); + s.uniforms.tEquirect.value = t; + const o = new Ot(r, s), a = t.minFilter; + return t.minFilter === _i && (t.minFilter = Rt), new pc(1, 10, this).update(e, o), t.minFilter = a, o.geometry.dispose(), o.material.dispose(), this; + } + clear(e, t, n, r) { + const s = e.getRenderTarget(); + for (let o = 0; o < 6; o++) + e.setRenderTarget(this, o), e.clear(t, n, r); + e.setRenderTarget(s); + } +} +const Or = /* @__PURE__ */ new P(), _c = /* @__PURE__ */ new P(), gc = /* @__PURE__ */ new Ve(); +class rn { + constructor(e = new P(1, 0, 0), t = 0) { + this.isPlane = !0, this.normal = e, this.constant = t; + } + set(e, t) { + return this.normal.copy(e), this.constant = t, this; + } + setComponents(e, t, n, r) { + return this.normal.set(e, t, n), this.constant = r, this; + } + setFromNormalAndCoplanarPoint(e, t) { + return this.normal.copy(e), this.constant = -t.dot(this.normal), this; + } + setFromCoplanarPoints(e, t, n) { + const r = Or.subVectors(n, t).cross(_c.subVectors(e, t)).normalize(); + return this.setFromNormalAndCoplanarPoint(r, e), this; + } + copy(e) { + return this.normal.copy(e.normal), this.constant = e.constant, this; + } + normalize() { + const e = 1 / this.normal.length(); + return this.normal.multiplyScalar(e), this.constant *= e, this; + } + negate() { + return this.constant *= -1, this.normal.negate(), this; + } + distanceToPoint(e) { + return this.normal.dot(e) + this.constant; + } + distanceToSphere(e) { + return this.distanceToPoint(e.center) - e.radius; + } + projectPoint(e, t) { + return t.copy(e).addScaledVector(this.normal, -this.distanceToPoint(e)); + } + intersectLine(e, t) { + const n = e.delta(Or), r = this.normal.dot(n); + if (r === 0) + return this.distanceToPoint(e.start) === 0 ? t.copy(e.start) : null; + const s = -(e.start.dot(this.normal) + this.constant) / r; + return s < 0 || s > 1 ? null : t.copy(e.start).addScaledVector(n, s); + } + intersectsLine(e) { + const t = this.distanceToPoint(e.start), n = this.distanceToPoint(e.end); + return t < 0 && n > 0 || n < 0 && t > 0; + } + intersectsBox(e) { + return e.intersectsPlane(this); + } + intersectsSphere(e) { + return e.intersectsPlane(this); + } + coplanarPoint(e) { + return e.copy(this.normal).multiplyScalar(-this.constant); + } + applyMatrix4(e, t) { + const n = t || gc.getNormalMatrix(e), r = this.coplanarPoint(Or).applyMatrix4(e), s = this.normal.applyMatrix3(n).normalize(); + return this.constant = -r.dot(s), this; + } + translate(e) { + return this.constant -= e.dot(this.normal), this; + } + equals(e) { + return e.normal.equals(this.normal) && e.constant === this.constant; + } + clone() { + return new this.constructor().copy(this); + } +} +const vn = /* @__PURE__ */ new xi(), ki = /* @__PURE__ */ new P(); +class cs { + constructor(e = new rn(), t = new rn(), n = new rn(), r = new rn(), s = new rn(), o = new rn()) { + this.planes = [e, t, n, r, s, o]; + } + set(e, t, n, r, s, o) { + const a = this.planes; + return a[0].copy(e), a[1].copy(t), a[2].copy(n), a[3].copy(r), a[4].copy(s), a[5].copy(o), this; + } + copy(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) + t[n].copy(e.planes[n]); + return this; + } + setFromProjectionMatrix(e, t = Zt) { + const n = this.planes, r = e.elements, s = r[0], o = r[1], a = r[2], l = r[3], c = r[4], h = r[5], d = r[6], p = r[7], m = r[8], g = r[9], v = r[10], f = r[11], u = r[12], b = r[13], S = r[14], R = r[15]; + if (n[0].setComponents(l - s, p - c, f - m, R - u).normalize(), n[1].setComponents(l + s, p + c, f + m, R + u).normalize(), n[2].setComponents(l + o, p + h, f + g, R + b).normalize(), n[3].setComponents(l - o, p - h, f - g, R - b).normalize(), n[4].setComponents(l - a, p - d, f - v, R - S).normalize(), t === Zt) + n[5].setComponents(l + a, p + d, f + v, R + S).normalize(); + else if (t === tr) + n[5].setComponents(a, d, v, S).normalize(); + else + throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: " + t); + return this; + } + intersectsObject(e) { + if (e.boundingSphere !== void 0) + e.boundingSphere === null && e.computeBoundingSphere(), vn.copy(e.boundingSphere).applyMatrix4(e.matrixWorld); + else { + const t = e.geometry; + t.boundingSphere === null && t.computeBoundingSphere(), vn.copy(t.boundingSphere).applyMatrix4(e.matrixWorld); + } + return this.intersectsSphere(vn); + } + intersectsSprite(e) { + return vn.center.set(0, 0, 0), vn.radius = 0.7071067811865476, vn.applyMatrix4(e.matrixWorld), this.intersectsSphere(vn); + } + intersectsSphere(e) { + const t = this.planes, n = e.center, r = -e.radius; + for (let s = 0; s < 6; s++) + if (t[s].distanceToPoint(n) < r) + return !1; + return !0; + } + intersectsBox(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) { + const r = t[n]; + if (ki.x = r.normal.x > 0 ? e.max.x : e.min.x, ki.y = r.normal.y > 0 ? e.max.y : e.min.y, ki.z = r.normal.z > 0 ? e.max.z : e.min.z, r.distanceToPoint(ki) < 0) + return !1; + } + return !0; + } + containsPoint(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) + if (t[n].distanceToPoint(e) < 0) + return !1; + return !0; + } + clone() { + return new this.constructor().copy(this); + } +} +function Do() { + let i = null, e = !1, t = null, n = null; + function r(s, o) { + t(s, o), n = i.requestAnimationFrame(r); + } + return { + start: function() { + e !== !0 && t !== null && (n = i.requestAnimationFrame(r), e = !0); + }, + stop: function() { + i.cancelAnimationFrame(n), e = !1; + }, + setAnimationLoop: function(s) { + t = s; + }, + setContext: function(s) { + i = s; + } + }; +} +function vc(i, e) { + const t = e.isWebGL2, n = /* @__PURE__ */ new WeakMap(); + function r(c, h) { + const d = c.array, p = c.usage, m = d.byteLength, g = i.createBuffer(); + i.bindBuffer(h, g), i.bufferData(h, d, p), c.onUploadCallback(); + let v; + if (d instanceof Float32Array) + v = i.FLOAT; + else if (d instanceof Uint16Array) + if (c.isFloat16BufferAttribute) + if (t) + v = i.HALF_FLOAT; + else + throw new Error("THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2."); + else + v = i.UNSIGNED_SHORT; + else if (d instanceof Int16Array) + v = i.SHORT; + else if (d instanceof Uint32Array) + v = i.UNSIGNED_INT; + else if (d instanceof Int32Array) + v = i.INT; + else if (d instanceof Int8Array) + v = i.BYTE; + else if (d instanceof Uint8Array) + v = i.UNSIGNED_BYTE; + else if (d instanceof Uint8ClampedArray) + v = i.UNSIGNED_BYTE; + else + throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: " + d); + return { + buffer: g, + type: v, + bytesPerElement: d.BYTES_PER_ELEMENT, + version: c.version, + size: m + }; + } + function s(c, h, d) { + const p = h.array, m = h._updateRange, g = h.updateRanges; + if (i.bindBuffer(d, c), m.count === -1 && g.length === 0 && i.bufferSubData(d, 0, p), g.length !== 0) { + for (let v = 0, f = g.length; v < f; v++) { + const u = g[v]; + t ? i.bufferSubData( + d, + u.start * p.BYTES_PER_ELEMENT, + p, + u.start, + u.count + ) : i.bufferSubData( + d, + u.start * p.BYTES_PER_ELEMENT, + p.subarray(u.start, u.start + u.count) + ); + } + h.clearUpdateRanges(); + } + m.count !== -1 && (t ? i.bufferSubData( + d, + m.offset * p.BYTES_PER_ELEMENT, + p, + m.offset, + m.count + ) : i.bufferSubData( + d, + m.offset * p.BYTES_PER_ELEMENT, + p.subarray(m.offset, m.offset + m.count) + ), m.count = -1), h.onUploadCallback(); + } + function o(c) { + return c.isInterleavedBufferAttribute && (c = c.data), n.get(c); + } + function a(c) { + c.isInterleavedBufferAttribute && (c = c.data); + const h = n.get(c); + h && (i.deleteBuffer(h.buffer), n.delete(c)); + } + function l(c, h) { + if (c.isGLBufferAttribute) { + const p = n.get(c); + (!p || p.version < c.version) && n.set(c, { + buffer: c.buffer, + type: c.type, + bytesPerElement: c.elementSize, + version: c.version + }); + return; + } + c.isInterleavedBufferAttribute && (c = c.data); + const d = n.get(c); + if (d === void 0) + n.set(c, r(c, h)); + else if (d.version < c.version) { + if (d.size !== c.array.byteLength) + throw new Error("THREE.WebGLAttributes: The size of the buffer attribute's array buffer does not match the original size. Resizing buffer attributes is not supported."); + s(d.buffer, c, h), d.version = c.version; + } + } + return { + get: o, + remove: a, + update: l + }; +} +class us extends hn { + constructor(e = 1, t = 1, n = 1, r = 1) { + super(), this.type = "PlaneGeometry", this.parameters = { + width: e, + height: t, + widthSegments: n, + heightSegments: r + }; + const s = e / 2, o = t / 2, a = Math.floor(n), l = Math.floor(r), c = a + 1, h = l + 1, d = e / a, p = t / l, m = [], g = [], v = [], f = []; + for (let u = 0; u < h; u++) { + const b = u * p - o; + for (let S = 0; S < c; S++) { + const R = S * d - s; + g.push(R, -b, 0), v.push(0, 0, 1), f.push(S / a), f.push(1 - u / l); + } + } + for (let u = 0; u < l; u++) + for (let b = 0; b < a; b++) { + const S = b + c * u, R = b + c * (u + 1), D = b + 1 + c * (u + 1), C = b + 1 + c * u; + m.push(S, R, C), m.push(R, D, C); + } + this.setIndex(m), this.setAttribute("position", new Ht(g, 3)), this.setAttribute("normal", new Ht(v, 3)), this.setAttribute("uv", new Ht(f, 2)); + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new us(e.width, e.height, e.widthSegments, e.heightSegments); + } +} +var xc = `#ifdef USE_ALPHAHASH + if ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard; +#endif`, Mc = `#ifdef USE_ALPHAHASH + const float ALPHA_HASH_SCALE = 0.05; + float hash2D( vec2 value ) { + return fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) ); + } + float hash3D( vec3 value ) { + return hash2D( vec2( hash2D( value.xy ), value.z ) ); + } + float getAlphaHashThreshold( vec3 position ) { + float maxDeriv = max( + length( dFdx( position.xyz ) ), + length( dFdy( position.xyz ) ) + ); + float pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv ); + vec2 pixScales = vec2( + exp2( floor( log2( pixScale ) ) ), + exp2( ceil( log2( pixScale ) ) ) + ); + vec2 alpha = vec2( + hash3D( floor( pixScales.x * position.xyz ) ), + hash3D( floor( pixScales.y * position.xyz ) ) + ); + float lerpFactor = fract( log2( pixScale ) ); + float x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y; + float a = min( lerpFactor, 1.0 - lerpFactor ); + vec3 cases = vec3( + x * x / ( 2.0 * a * ( 1.0 - a ) ), + ( x - 0.5 * a ) / ( 1.0 - a ), + 1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) ) + ); + float threshold = ( x < ( 1.0 - a ) ) + ? ( ( x < a ) ? cases.x : cases.y ) + : cases.z; + return clamp( threshold , 1.0e-6, 1.0 ); + } +#endif`, Sc = `#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g; +#endif`, Ec = `#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`, yc = `#ifdef USE_ALPHATEST + if ( diffuseColor.a < alphaTest ) discard; +#endif`, Tc = `#ifdef USE_ALPHATEST + uniform float alphaTest; +#endif`, bc = `#ifdef USE_AOMAP + float ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0; + reflectedLight.indirectDiffuse *= ambientOcclusion; + #if defined( USE_CLEARCOAT ) + clearcoatSpecularIndirect *= ambientOcclusion; + #endif + #if defined( USE_SHEEN ) + sheenSpecularIndirect *= ambientOcclusion; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) + float dotNV = saturate( dot( geometryNormal, geometryViewDir ) ); + reflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness ); + #endif +#endif`, Ac = `#ifdef USE_AOMAP + uniform sampler2D aoMap; + uniform float aoMapIntensity; +#endif`, wc = `#ifdef USE_BATCHING + attribute float batchId; + uniform highp sampler2D batchingTexture; + mat4 getBatchingMatrix( const in float i ) { + int size = textureSize( batchingTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`, Rc = `#ifdef USE_BATCHING + mat4 batchingMatrix = getBatchingMatrix( batchId ); +#endif`, Cc = `vec3 transformed = vec3( position ); +#ifdef USE_ALPHAHASH + vPosition = vec3( position ); +#endif`, Lc = `vec3 objectNormal = vec3( normal ); +#ifdef USE_TANGENT + vec3 objectTangent = vec3( tangent.xyz ); +#endif`, Pc = `float G_BlinnPhong_Implicit( ) { + return 0.25; +} +float D_BlinnPhong( const in float shininess, const in float dotNH ) { + return RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess ); +} +vec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( specularColor, 1.0, dotVH ); + float G = G_BlinnPhong_Implicit( ); + float D = D_BlinnPhong( shininess, dotNH ); + return F * ( G * D ); +} // validated`, Dc = `#ifdef USE_IRIDESCENCE + const mat3 XYZ_TO_REC709 = mat3( + 3.2404542, -0.9692660, 0.0556434, + -1.5371385, 1.8760108, -0.2040259, + -0.4985314, 0.0415560, 1.0572252 + ); + vec3 Fresnel0ToIor( vec3 fresnel0 ) { + vec3 sqrtF0 = sqrt( fresnel0 ); + return ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 ); + } + vec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) { + return pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) ); + } + float IorToFresnel0( float transmittedIor, float incidentIor ) { + return pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor )); + } + vec3 evalSensitivity( float OPD, vec3 shift ) { + float phase = 2.0 * PI * OPD * 1.0e-9; + vec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 ); + vec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 ); + vec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 ); + vec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var ); + xyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) ); + xyz /= 1.0685e-7; + vec3 rgb = XYZ_TO_REC709 * xyz; + return rgb; + } + vec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) { + vec3 I; + float iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) ); + float sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) ); + float cosTheta2Sq = 1.0 - sinTheta2Sq; + if ( cosTheta2Sq < 0.0 ) { + return vec3( 1.0 ); + } + float cosTheta2 = sqrt( cosTheta2Sq ); + float R0 = IorToFresnel0( iridescenceIOR, outsideIOR ); + float R12 = F_Schlick( R0, 1.0, cosTheta1 ); + float T121 = 1.0 - R12; + float phi12 = 0.0; + if ( iridescenceIOR < outsideIOR ) phi12 = PI; + float phi21 = PI - phi12; + vec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) ); vec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR ); + vec3 R23 = F_Schlick( R1, 1.0, cosTheta2 ); + vec3 phi23 = vec3( 0.0 ); + if ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI; + if ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI; + if ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI; + float OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2; + vec3 phi = vec3( phi21 ) + phi23; + vec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 ); + vec3 r123 = sqrt( R123 ); + vec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 ); + vec3 C0 = R12 + Rs; + I = C0; + vec3 Cm = Rs - T121; + for ( int m = 1; m <= 2; ++ m ) { + Cm *= r123; + vec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi ); + I += Cm * Sm; + } + return max( I, vec3( 0.0 ) ); + } +#endif`, Uc = `#ifdef USE_BUMPMAP + uniform sampler2D bumpMap; + uniform float bumpScale; + vec2 dHdxy_fwd() { + vec2 dSTdx = dFdx( vBumpMapUv ); + vec2 dSTdy = dFdy( vBumpMapUv ); + float Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x; + float dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll; + float dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll; + return vec2( dBx, dBy ); + } + vec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) { + vec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) ); + vec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) ); + vec3 vN = surf_norm; + vec3 R1 = cross( vSigmaY, vN ); + vec3 R2 = cross( vN, vSigmaX ); + float fDet = dot( vSigmaX, R1 ) * faceDirection; + vec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 ); + return normalize( abs( fDet ) * surf_norm - vGrad ); + } +#endif`, Ic = `#if NUM_CLIPPING_PLANES > 0 + vec4 plane; + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + bool clipped = true; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped; + } + #pragma unroll_loop_end + if ( clipped ) discard; + #endif +#endif`, Nc = `#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; + uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ]; +#endif`, Fc = `#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; +#endif`, Oc = `#if NUM_CLIPPING_PLANES > 0 + vClipPosition = - mvPosition.xyz; +#endif`, Bc = `#if defined( USE_COLOR_ALPHA ) + diffuseColor *= vColor; +#elif defined( USE_COLOR ) + diffuseColor.rgb *= vColor; +#endif`, zc = `#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) + varying vec3 vColor; +#endif`, Gc = `#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) + varying vec3 vColor; +#endif`, Hc = `#if defined( USE_COLOR_ALPHA ) + vColor = vec4( 1.0 ); +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) + vColor = vec3( 1.0 ); +#endif +#ifdef USE_COLOR + vColor *= color; +#endif +#ifdef USE_INSTANCING_COLOR + vColor.xyz *= instanceColor.xyz; +#endif`, Vc = `#define PI 3.141592653589793 +#define PI2 6.283185307179586 +#define PI_HALF 1.5707963267948966 +#define RECIPROCAL_PI 0.3183098861837907 +#define RECIPROCAL_PI2 0.15915494309189535 +#define EPSILON 1e-6 +#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +#define whiteComplement( a ) ( 1.0 - saturate( a ) ) +float pow2( const in float x ) { return x*x; } +vec3 pow2( const in vec3 x ) { return x*x; } +float pow3( const in float x ) { return x*x*x; } +float pow4( const in float x ) { float x2 = x*x; return x2*x2; } +float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); } +float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); } +highp float rand( const in vec2 uv ) { + const highp float a = 12.9898, b = 78.233, c = 43758.5453; + highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI ); + return fract( sin( sn ) * c ); +} +#ifdef HIGH_PRECISION + float precisionSafeLength( vec3 v ) { return length( v ); } +#else + float precisionSafeLength( vec3 v ) { + float maxComponent = max3( abs( v ) ); + return length( v / maxComponent ) * maxComponent; + } +#endif +struct IncidentLight { + vec3 color; + vec3 direction; + bool visible; +}; +struct ReflectedLight { + vec3 directDiffuse; + vec3 directSpecular; + vec3 indirectDiffuse; + vec3 indirectSpecular; +}; +#ifdef USE_ALPHAHASH + varying vec3 vPosition; +#endif +vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); +} +vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz ); +} +mat3 transposeMat3( const in mat3 m ) { + mat3 tmp; + tmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x ); + tmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y ); + tmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z ); + return tmp; +} +float luminance( const in vec3 rgb ) { + const vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 ); + return dot( weights, rgb ); +} +bool isPerspectiveMatrix( mat4 m ) { + return m[ 2 ][ 3 ] == - 1.0; +} +vec2 equirectUv( in vec3 dir ) { + float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5; + float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5; + return vec2( u, v ); +} +vec3 BRDF_Lambert( const in vec3 diffuseColor ) { + return RECIPROCAL_PI * diffuseColor; +} +vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} +float F_Schlick( const in float f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} // validated`, kc = `#ifdef ENVMAP_TYPE_CUBE_UV + #define cubeUV_minMipLevel 4.0 + #define cubeUV_minTileSize 16.0 + float getFace( vec3 direction ) { + vec3 absDirection = abs( direction ); + float face = - 1.0; + if ( absDirection.x > absDirection.z ) { + if ( absDirection.x > absDirection.y ) + face = direction.x > 0.0 ? 0.0 : 3.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } else { + if ( absDirection.z > absDirection.y ) + face = direction.z > 0.0 ? 2.0 : 5.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } + return face; + } + vec2 getUV( vec3 direction, float face ) { + vec2 uv; + if ( face == 0.0 ) { + uv = vec2( direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 1.0 ) { + uv = vec2( - direction.x, - direction.z ) / abs( direction.y ); + } else if ( face == 2.0 ) { + uv = vec2( - direction.x, direction.y ) / abs( direction.z ); + } else if ( face == 3.0 ) { + uv = vec2( - direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 4.0 ) { + uv = vec2( - direction.x, direction.z ) / abs( direction.y ); + } else { + uv = vec2( direction.x, direction.y ) / abs( direction.z ); + } + return 0.5 * ( uv + 1.0 ); + } + vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) { + float face = getFace( direction ); + float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 ); + mipInt = max( mipInt, cubeUV_minMipLevel ); + float faceSize = exp2( mipInt ); + highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0; + if ( face > 2.0 ) { + uv.y += faceSize; + face -= 3.0; + } + uv.x += face * faceSize; + uv.x += filterInt * 3.0 * cubeUV_minTileSize; + uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize ); + uv.x *= CUBEUV_TEXEL_WIDTH; + uv.y *= CUBEUV_TEXEL_HEIGHT; + #ifdef texture2DGradEXT + return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb; + #else + return texture2D( envMap, uv ).rgb; + #endif + } + #define cubeUV_r0 1.0 + #define cubeUV_m0 - 2.0 + #define cubeUV_r1 0.8 + #define cubeUV_m1 - 1.0 + #define cubeUV_r4 0.4 + #define cubeUV_m4 2.0 + #define cubeUV_r5 0.305 + #define cubeUV_m5 3.0 + #define cubeUV_r6 0.21 + #define cubeUV_m6 4.0 + float roughnessToMip( float roughness ) { + float mip = 0.0; + if ( roughness >= cubeUV_r1 ) { + mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0; + } else if ( roughness >= cubeUV_r4 ) { + mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1; + } else if ( roughness >= cubeUV_r5 ) { + mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4; + } else if ( roughness >= cubeUV_r6 ) { + mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5; + } else { + mip = - 2.0 * log2( 1.16 * roughness ); } + return mip; + } + vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) { + float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP ); + float mipF = fract( mip ); + float mipInt = floor( mip ); + vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt ); + if ( mipF == 0.0 ) { + return vec4( color0, 1.0 ); + } else { + vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 ); + return vec4( mix( color0, color1, mipF ), 1.0 ); + } + } +#endif`, Wc = `vec3 transformedNormal = objectNormal; +#ifdef USE_TANGENT + vec3 transformedTangent = objectTangent; +#endif +#ifdef USE_BATCHING + mat3 bm = mat3( batchingMatrix ); + transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) ); + transformedNormal = bm * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = bm * transformedTangent; + #endif +#endif +#ifdef USE_INSTANCING + mat3 im = mat3( instanceMatrix ); + transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) ); + transformedNormal = im * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = im * transformedTangent; + #endif +#endif +transformedNormal = normalMatrix * transformedNormal; +#ifdef FLIP_SIDED + transformedNormal = - transformedNormal; +#endif +#ifdef USE_TANGENT + transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz; + #ifdef FLIP_SIDED + transformedTangent = - transformedTangent; + #endif +#endif`, Xc = `#ifdef USE_DISPLACEMENTMAP + uniform sampler2D displacementMap; + uniform float displacementScale; + uniform float displacementBias; +#endif`, qc = `#ifdef USE_DISPLACEMENTMAP + transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias ); +#endif`, Yc = `#ifdef USE_EMISSIVEMAP + vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv ); + totalEmissiveRadiance *= emissiveColor.rgb; +#endif`, jc = `#ifdef USE_EMISSIVEMAP + uniform sampler2D emissiveMap; +#endif`, Kc = "gl_FragColor = linearToOutputTexel( gl_FragColor );", Zc = ` +const mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3( + vec3( 0.8224621, 0.177538, 0.0 ), + vec3( 0.0331941, 0.9668058, 0.0 ), + vec3( 0.0170827, 0.0723974, 0.9105199 ) +); +const mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3( + vec3( 1.2249401, - 0.2249404, 0.0 ), + vec3( - 0.0420569, 1.0420571, 0.0 ), + vec3( - 0.0196376, - 0.0786361, 1.0982735 ) +); +vec4 LinearSRGBToLinearDisplayP3( in vec4 value ) { + return vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a ); +} +vec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) { + return vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a ); +} +vec4 LinearTransferOETF( in vec4 value ) { + return value; +} +vec4 sRGBTransferOETF( in vec4 value ) { + return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a ); +} +vec4 LinearToLinear( in vec4 value ) { + return value; +} +vec4 LinearTosRGB( in vec4 value ) { + return sRGBTransferOETF( value ); +}`, $c = `#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vec3 cameraToFrag; + if ( isOrthographic ) { + cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToFrag = normalize( vWorldPosition - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vec3 reflectVec = reflect( cameraToFrag, worldNormal ); + #else + vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio ); + #endif + #else + vec3 reflectVec = vReflect; + #endif + #ifdef ENVMAP_TYPE_CUBE + vec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) ); + #else + vec4 envColor = vec4( 0.0 ); + #endif + #ifdef ENVMAP_BLENDING_MULTIPLY + outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_MIX ) + outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_ADD ) + outgoingLight += envColor.xyz * specularStrength * reflectivity; + #endif +#endif`, Jc = `#ifdef USE_ENVMAP + uniform float envMapIntensity; + uniform float flipEnvMap; + #ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; + #else + uniform sampler2D envMap; + #endif + +#endif`, Qc = `#ifdef USE_ENVMAP + uniform float reflectivity; + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + varying vec3 vWorldPosition; + uniform float refractionRatio; + #else + varying vec3 vReflect; + #endif +#endif`, eu = `#ifdef USE_ENVMAP + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + + varying vec3 vWorldPosition; + #else + varying vec3 vReflect; + uniform float refractionRatio; + #endif +#endif`, tu = `#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vWorldPosition = worldPosition.xyz; + #else + vec3 cameraToVertex; + if ( isOrthographic ) { + cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToVertex = normalize( worldPosition.xyz - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vReflect = reflect( cameraToVertex, worldNormal ); + #else + vReflect = refract( cameraToVertex, worldNormal, refractionRatio ); + #endif + #endif +#endif`, nu = `#ifdef USE_FOG + vFogDepth = - mvPosition.z; +#endif`, iu = `#ifdef USE_FOG + varying float vFogDepth; +#endif`, ru = `#ifdef USE_FOG + #ifdef FOG_EXP2 + float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth ); + #else + float fogFactor = smoothstep( fogNear, fogFar, vFogDepth ); + #endif + gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor ); +#endif`, su = `#ifdef USE_FOG + uniform vec3 fogColor; + varying float vFogDepth; + #ifdef FOG_EXP2 + uniform float fogDensity; + #else + uniform float fogNear; + uniform float fogFar; + #endif +#endif`, au = `#ifdef USE_GRADIENTMAP + uniform sampler2D gradientMap; +#endif +vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) { + float dotNL = dot( normal, lightDirection ); + vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 ); + #ifdef USE_GRADIENTMAP + return vec3( texture2D( gradientMap, coord ).r ); + #else + vec2 fw = fwidth( coord ) * 0.5; + return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) ); + #endif +}`, ou = `#ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + reflectedLight.indirectDiffuse += lightMapIrradiance; +#endif`, lu = `#ifdef USE_LIGHTMAP + uniform sampler2D lightMap; + uniform float lightMapIntensity; +#endif`, cu = `LambertMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularStrength = specularStrength;`, uu = `varying vec3 vViewPosition; +struct LambertMaterial { + vec3 diffuseColor; + float specularStrength; +}; +void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Lambert +#define RE_IndirectDiffuse RE_IndirectDiffuse_Lambert`, hu = `uniform bool receiveShadow; +uniform vec3 ambientLightColor; +#if defined( USE_LIGHT_PROBES ) + uniform vec3 lightProbe[ 9 ]; +#endif +vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) { + float x = normal.x, y = normal.y, z = normal.z; + vec3 result = shCoefficients[ 0 ] * 0.886227; + result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y; + result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z; + result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x; + result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y; + result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z; + result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 ); + result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z; + result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y ); + return result; +} +vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) { + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe ); + return irradiance; +} +vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) { + vec3 irradiance = ambientLightColor; + return irradiance; +} +float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) { + #if defined ( LEGACY_LIGHTS ) + if ( cutoffDistance > 0.0 && decayExponent > 0.0 ) { + return pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent ); + } + return 1.0; + #else + float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 ); + if ( cutoffDistance > 0.0 ) { + distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) ); + } + return distanceFalloff; + #endif +} +float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) { + return smoothstep( coneCosine, penumbraCosine, angleCosine ); +} +#if NUM_DIR_LIGHTS > 0 + struct DirectionalLight { + vec3 direction; + vec3 color; + }; + uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ]; + void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) { + light.color = directionalLight.color; + light.direction = directionalLight.direction; + light.visible = true; + } +#endif +#if NUM_POINT_LIGHTS > 0 + struct PointLight { + vec3 position; + vec3 color; + float distance; + float decay; + }; + uniform PointLight pointLights[ NUM_POINT_LIGHTS ]; + void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = pointLight.position - geometryPosition; + light.direction = normalize( lVector ); + float lightDistance = length( lVector ); + light.color = pointLight.color; + light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } +#endif +#if NUM_SPOT_LIGHTS > 0 + struct SpotLight { + vec3 position; + vec3 direction; + vec3 color; + float distance; + float decay; + float coneCos; + float penumbraCos; + }; + uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ]; + void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = spotLight.position - geometryPosition; + light.direction = normalize( lVector ); + float angleCos = dot( light.direction, spotLight.direction ); + float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos ); + if ( spotAttenuation > 0.0 ) { + float lightDistance = length( lVector ); + light.color = spotLight.color * spotAttenuation; + light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } else { + light.color = vec3( 0.0 ); + light.visible = false; + } + } +#endif +#if NUM_RECT_AREA_LIGHTS > 0 + struct RectAreaLight { + vec3 color; + vec3 position; + vec3 halfWidth; + vec3 halfHeight; + }; + uniform sampler2D ltc_1; uniform sampler2D ltc_2; + uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ]; +#endif +#if NUM_HEMI_LIGHTS > 0 + struct HemisphereLight { + vec3 direction; + vec3 skyColor; + vec3 groundColor; + }; + uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ]; + vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) { + float dotNL = dot( normal, hemiLight.direction ); + float hemiDiffuseWeight = 0.5 * dotNL + 0.5; + vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight ); + return irradiance; + } +#endif`, du = `#ifdef USE_ENVMAP + vec3 getIBLIrradiance( const in vec3 normal ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 ); + return PI * envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 reflectVec = reflect( - viewDir, normal ); + reflectVec = normalize( mix( reflectVec, normal, roughness * roughness) ); + reflectVec = inverseTransformDirection( reflectVec, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness ); + return envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + #ifdef USE_ANISOTROPY + vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 bentNormal = cross( bitangent, viewDir ); + bentNormal = normalize( cross( bentNormal, bitangent ) ); + bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) ); + return getIBLRadiance( viewDir, bentNormal, roughness ); + #else + return vec3( 0.0 ); + #endif + } + #endif +#endif`, fu = `ToonMaterial material; +material.diffuseColor = diffuseColor.rgb;`, pu = `varying vec3 vViewPosition; +struct ToonMaterial { + vec3 diffuseColor; +}; +void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Toon +#define RE_IndirectDiffuse RE_IndirectDiffuse_Toon`, mu = `BlinnPhongMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularColor = specular; +material.specularShininess = shininess; +material.specularStrength = specularStrength;`, _u = `varying vec3 vViewPosition; +struct BlinnPhongMaterial { + vec3 diffuseColor; + vec3 specularColor; + float specularShininess; + float specularStrength; +}; +void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); + reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength; +} +void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_BlinnPhong +#define RE_IndirectDiffuse RE_IndirectDiffuse_BlinnPhong`, gu = `PhysicalMaterial material; +material.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor ); +vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) ); +float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z ); +material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness; +material.roughness = min( material.roughness, 1.0 ); +#ifdef IOR + material.ior = ior; + #ifdef USE_SPECULAR + float specularIntensityFactor = specularIntensity; + vec3 specularColorFactor = specularColor; + #ifdef USE_SPECULAR_COLORMAP + specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a; + #endif + material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor ); + #else + float specularIntensityFactor = 1.0; + vec3 specularColorFactor = vec3( 1.0 ); + material.specularF90 = 1.0; + #endif + material.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor ); +#else + material.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor ); + material.specularF90 = 1.0; +#endif +#ifdef USE_CLEARCOAT + material.clearcoat = clearcoat; + material.clearcoatRoughness = clearcoatRoughness; + material.clearcoatF0 = vec3( 0.04 ); + material.clearcoatF90 = 1.0; + #ifdef USE_CLEARCOATMAP + material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x; + #endif + #ifdef USE_CLEARCOAT_ROUGHNESSMAP + material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y; + #endif + material.clearcoat = saturate( material.clearcoat ); material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 ); + material.clearcoatRoughness += geometryRoughness; + material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 ); +#endif +#ifdef USE_IRIDESCENCE + material.iridescence = iridescence; + material.iridescenceIOR = iridescenceIOR; + #ifdef USE_IRIDESCENCEMAP + material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r; + #endif + #ifdef USE_IRIDESCENCE_THICKNESSMAP + material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum; + #else + material.iridescenceThickness = iridescenceThicknessMaximum; + #endif +#endif +#ifdef USE_SHEEN + material.sheenColor = sheenColor; + #ifdef USE_SHEEN_COLORMAP + material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb; + #endif + material.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 ); + #ifdef USE_SHEEN_ROUGHNESSMAP + material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a; + #endif +#endif +#ifdef USE_ANISOTROPY + #ifdef USE_ANISOTROPYMAP + mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x ); + vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb; + vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b; + #else + vec2 anisotropyV = anisotropyVector; + #endif + material.anisotropy = length( anisotropyV ); + if( material.anisotropy == 0.0 ) { + anisotropyV = vec2( 1.0, 0.0 ); + } else { + anisotropyV /= material.anisotropy; + material.anisotropy = saturate( material.anisotropy ); + } + material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) ); + material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y; + material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y; +#endif`, vu = `struct PhysicalMaterial { + vec3 diffuseColor; + float roughness; + vec3 specularColor; + float specularF90; + #ifdef USE_CLEARCOAT + float clearcoat; + float clearcoatRoughness; + vec3 clearcoatF0; + float clearcoatF90; + #endif + #ifdef USE_IRIDESCENCE + float iridescence; + float iridescenceIOR; + float iridescenceThickness; + vec3 iridescenceFresnel; + vec3 iridescenceF0; + #endif + #ifdef USE_SHEEN + vec3 sheenColor; + float sheenRoughness; + #endif + #ifdef IOR + float ior; + #endif + #ifdef USE_TRANSMISSION + float transmission; + float transmissionAlpha; + float thickness; + float attenuationDistance; + vec3 attenuationColor; + #endif + #ifdef USE_ANISOTROPY + float anisotropy; + float alphaT; + vec3 anisotropyT; + vec3 anisotropyB; + #endif +}; +vec3 clearcoatSpecularDirect = vec3( 0.0 ); +vec3 clearcoatSpecularIndirect = vec3( 0.0 ); +vec3 sheenSpecularDirect = vec3( 0.0 ); +vec3 sheenSpecularIndirect = vec3(0.0 ); +vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) { + float x = clamp( 1.0 - dotVH, 0.0, 1.0 ); + float x2 = x * x; + float x5 = clamp( x * x2 * x2, 0.0, 0.9999 ); + return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 ); +} +float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) { + float a2 = pow2( alpha ); + float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) ); + float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) ); + return 0.5 / max( gv + gl, EPSILON ); +} +float D_GGX( const in float alpha, const in float dotNH ) { + float a2 = pow2( alpha ); + float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; + return RECIPROCAL_PI * a2 / pow2( denom ); +} +#ifdef USE_ANISOTROPY + float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) { + float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) ); + float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) ); + float v = 0.5 / ( gv + gl ); + return saturate(v); + } + float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) { + float a2 = alphaT * alphaB; + highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH ); + highp float v2 = dot( v, v ); + float w2 = a2 / v2; + return RECIPROCAL_PI * a2 * pow2 ( w2 ); + } +#endif +#ifdef USE_CLEARCOAT + vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) { + vec3 f0 = material.clearcoatF0; + float f90 = material.clearcoatF90; + float roughness = material.clearcoatRoughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + return F * ( V * D ); + } +#endif +vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 f0 = material.specularColor; + float f90 = material.specularF90; + float roughness = material.roughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + #ifdef USE_IRIDESCENCE + F = mix( F, material.iridescenceFresnel, material.iridescence ); + #endif + #ifdef USE_ANISOTROPY + float dotTL = dot( material.anisotropyT, lightDir ); + float dotTV = dot( material.anisotropyT, viewDir ); + float dotTH = dot( material.anisotropyT, halfDir ); + float dotBL = dot( material.anisotropyB, lightDir ); + float dotBV = dot( material.anisotropyB, viewDir ); + float dotBH = dot( material.anisotropyB, halfDir ); + float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL ); + float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH ); + #else + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + #endif + return F * ( V * D ); +} +vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) { + const float LUT_SIZE = 64.0; + const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE; + const float LUT_BIAS = 0.5 / LUT_SIZE; + float dotNV = saturate( dot( N, V ) ); + vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) ); + uv = uv * LUT_SCALE + LUT_BIAS; + return uv; +} +float LTC_ClippedSphereFormFactor( const in vec3 f ) { + float l = length( f ); + return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 ); +} +vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) { + float x = dot( v1, v2 ); + float y = abs( x ); + float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y; + float b = 3.4175940 + ( 4.1616724 + y ) * y; + float v = a / b; + float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v; + return cross( v1, v2 ) * theta_sintheta; +} +vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) { + vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ]; + vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ]; + vec3 lightNormal = cross( v1, v2 ); + if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 ); + vec3 T1, T2; + T1 = normalize( V - N * dot( V, N ) ); + T2 = - cross( N, T1 ); + mat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) ); + vec3 coords[ 4 ]; + coords[ 0 ] = mat * ( rectCoords[ 0 ] - P ); + coords[ 1 ] = mat * ( rectCoords[ 1 ] - P ); + coords[ 2 ] = mat * ( rectCoords[ 2 ] - P ); + coords[ 3 ] = mat * ( rectCoords[ 3 ] - P ); + coords[ 0 ] = normalize( coords[ 0 ] ); + coords[ 1 ] = normalize( coords[ 1 ] ); + coords[ 2 ] = normalize( coords[ 2 ] ); + coords[ 3 ] = normalize( coords[ 3 ] ); + vec3 vectorFormFactor = vec3( 0.0 ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] ); + float result = LTC_ClippedSphereFormFactor( vectorFormFactor ); + return vec3( result ); +} +#if defined( USE_SHEEN ) +float D_Charlie( float roughness, float dotNH ) { + float alpha = pow2( roughness ); + float invAlpha = 1.0 / alpha; + float cos2h = dotNH * dotNH; + float sin2h = max( 1.0 - cos2h, 0.0078125 ); + return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI ); +} +float V_Neubelt( float dotNV, float dotNL ) { + return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) ); +} +vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float D = D_Charlie( sheenRoughness, dotNH ); + float V = V_Neubelt( dotNV, dotNL ); + return sheenColor * ( D * V ); +} +#endif +float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + float r2 = roughness * roughness; + float a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95; + float b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72; + float DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) ); + return saturate( DG * RECIPROCAL_PI ); +} +vec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + const vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 ); + const vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 ); + vec4 r = roughness * c0 + c1; + float a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y; + vec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw; + return fab; +} +vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) { + vec2 fab = DFGApprox( normal, viewDir, roughness ); + return specularColor * fab.x + specularF90 * fab.y; +} +#ifdef USE_IRIDESCENCE +void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#else +void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#endif + vec2 fab = DFGApprox( normal, viewDir, roughness ); + #ifdef USE_IRIDESCENCE + vec3 Fr = mix( specularColor, iridescenceF0, iridescence ); + #else + vec3 Fr = specularColor; + #endif + vec3 FssEss = Fr * fab.x + specularF90 * fab.y; + float Ess = fab.x + fab.y; + float Ems = 1.0 - Ess; + vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619; vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg ); + singleScatter += FssEss; + multiScatter += Fms * Ems; +} +#if NUM_RECT_AREA_LIGHTS > 0 + void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 normal = geometryNormal; + vec3 viewDir = geometryViewDir; + vec3 position = geometryPosition; + vec3 lightPos = rectAreaLight.position; + vec3 halfWidth = rectAreaLight.halfWidth; + vec3 halfHeight = rectAreaLight.halfHeight; + vec3 lightColor = rectAreaLight.color; + float roughness = material.roughness; + vec3 rectCoords[ 4 ]; + rectCoords[ 0 ] = lightPos + halfWidth - halfHeight; rectCoords[ 1 ] = lightPos - halfWidth - halfHeight; + rectCoords[ 2 ] = lightPos - halfWidth + halfHeight; + rectCoords[ 3 ] = lightPos + halfWidth + halfHeight; + vec2 uv = LTC_Uv( normal, viewDir, roughness ); + vec4 t1 = texture2D( ltc_1, uv ); + vec4 t2 = texture2D( ltc_2, uv ); + mat3 mInv = mat3( + vec3( t1.x, 0, t1.y ), + vec3( 0, 1, 0 ), + vec3( t1.z, 0, t1.w ) + ); + vec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y ); + reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords ); + reflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords ); + } +#endif +void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + #ifdef USE_CLEARCOAT + float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) ); + vec3 ccIrradiance = dotNLcc * directLight.color; + clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material ); + #endif + #ifdef USE_SHEEN + sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness ); + #endif + reflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material ); + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) { + #ifdef USE_CLEARCOAT + clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness ); + #endif + #ifdef USE_SHEEN + sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + #endif + vec3 singleScattering = vec3( 0.0 ); + vec3 multiScattering = vec3( 0.0 ); + vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI; + #ifdef USE_IRIDESCENCE + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering ); + #else + computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering ); + #endif + vec3 totalScattering = singleScattering + multiScattering; + vec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) ); + reflectedLight.indirectSpecular += radiance * singleScattering; + reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance; + reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance; +} +#define RE_Direct RE_Direct_Physical +#define RE_Direct_RectArea RE_Direct_RectArea_Physical +#define RE_IndirectDiffuse RE_IndirectDiffuse_Physical +#define RE_IndirectSpecular RE_IndirectSpecular_Physical +float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) { + return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion ); +}`, xu = ` +vec3 geometryPosition = - vViewPosition; +vec3 geometryNormal = normal; +vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition ); +vec3 geometryClearcoatNormal = vec3( 0.0 ); +#ifdef USE_CLEARCOAT + geometryClearcoatNormal = clearcoatNormal; +#endif +#ifdef USE_IRIDESCENCE + float dotNVi = saturate( dot( normal, geometryViewDir ) ); + if ( material.iridescenceThickness == 0.0 ) { + material.iridescence = 0.0; + } else { + material.iridescence = saturate( material.iridescence ); + } + if ( material.iridescence > 0.0 ) { + material.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor ); + material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi ); + } +#endif +IncidentLight directLight; +#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct ) + PointLight pointLight; + #if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) { + pointLight = pointLights[ i ]; + getPointLightInfo( pointLight, geometryPosition, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS ) + pointLightShadow = pointLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct ) + SpotLight spotLight; + vec4 spotColor; + vec3 spotLightCoord; + bool inSpotLightMap; + #if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) { + spotLight = spotLights[ i ]; + getSpotLightInfo( spotLight, geometryPosition, directLight ); + #if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX + #elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + #define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS + #else + #define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #endif + #if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS ) + spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w; + inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) ); + spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy ); + directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color; + #endif + #undef SPOT_LIGHT_MAP_INDEX + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + spotLightShadow = spotLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct ) + DirectionalLight directionalLight; + #if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) { + directionalLight = directionalLights[ i ]; + getDirectionalLightInfo( directionalLight, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS ) + directionalLightShadow = directionalLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea ) + RectAreaLight rectAreaLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) { + rectAreaLight = rectAreaLights[ i ]; + RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if defined( RE_IndirectDiffuse ) + vec3 iblIrradiance = vec3( 0.0 ); + vec3 irradiance = getAmbientLightIrradiance( ambientLightColor ); + #if defined( USE_LIGHT_PROBES ) + irradiance += getLightProbeIrradiance( lightProbe, geometryNormal ); + #endif + #if ( NUM_HEMI_LIGHTS > 0 ) + #pragma unroll_loop_start + for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) { + irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal ); + } + #pragma unroll_loop_end + #endif +#endif +#if defined( RE_IndirectSpecular ) + vec3 radiance = vec3( 0.0 ); + vec3 clearcoatRadiance = vec3( 0.0 ); +#endif`, Mu = `#if defined( RE_IndirectDiffuse ) + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + irradiance += lightMapIrradiance; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV ) + iblIrradiance += getIBLIrradiance( geometryNormal ); + #endif +#endif +#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular ) + #ifdef USE_ANISOTROPY + radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy ); + #else + radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness ); + #endif + #ifdef USE_CLEARCOAT + clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness ); + #endif +#endif`, Su = `#if defined( RE_IndirectDiffuse ) + RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif +#if defined( RE_IndirectSpecular ) + RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif`, Eu = `#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT ) + gl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5; +#endif`, yu = `#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT ) + uniform float logDepthBufFC; + varying float vFragDepth; + varying float vIsPerspective; +#endif`, Tu = `#ifdef USE_LOGDEPTHBUF + #ifdef USE_LOGDEPTHBUF_EXT + varying float vFragDepth; + varying float vIsPerspective; + #else + uniform float logDepthBufFC; + #endif +#endif`, bu = `#ifdef USE_LOGDEPTHBUF + #ifdef USE_LOGDEPTHBUF_EXT + vFragDepth = 1.0 + gl_Position.w; + vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) ); + #else + if ( isPerspectiveMatrix( projectionMatrix ) ) { + gl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0; + gl_Position.z *= gl_Position.w; + } + #endif +#endif`, Au = `#ifdef USE_MAP + vec4 sampledDiffuseColor = texture2D( map, vMapUv ); + #ifdef DECODE_VIDEO_TEXTURE + sampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w ); + + #endif + diffuseColor *= sampledDiffuseColor; +#endif`, wu = `#ifdef USE_MAP + uniform sampler2D map; +#endif`, Ru = `#if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + #if defined( USE_POINTS_UV ) + vec2 uv = vUv; + #else + vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy; + #endif +#endif +#ifdef USE_MAP + diffuseColor *= texture2D( map, uv ); +#endif +#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, uv ).g; +#endif`, Cu = `#if defined( USE_POINTS_UV ) + varying vec2 vUv; +#else + #if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + uniform mat3 uvTransform; + #endif +#endif +#ifdef USE_MAP + uniform sampler2D map; +#endif +#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`, Lu = `float metalnessFactor = metalness; +#ifdef USE_METALNESSMAP + vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv ); + metalnessFactor *= texelMetalness.b; +#endif`, Pu = `#ifdef USE_METALNESSMAP + uniform sampler2D metalnessMap; +#endif`, Du = `#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE ) + vColor *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + #if defined( USE_COLOR_ALPHA ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ]; + #elif defined( USE_COLOR ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ]; + #endif + } +#endif`, Uu = `#ifdef USE_MORPHNORMALS + objectNormal *= morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ]; + } + #else + objectNormal += morphNormal0 * morphTargetInfluences[ 0 ]; + objectNormal += morphNormal1 * morphTargetInfluences[ 1 ]; + objectNormal += morphNormal2 * morphTargetInfluences[ 2 ]; + objectNormal += morphNormal3 * morphTargetInfluences[ 3 ]; + #endif +#endif`, Iu = `#ifdef USE_MORPHTARGETS + uniform float morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + uniform sampler2DArray morphTargetsTexture; + uniform ivec2 morphTargetsTextureSize; + vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) { + int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset; + int y = texelIndex / morphTargetsTextureSize.x; + int x = texelIndex - y * morphTargetsTextureSize.x; + ivec3 morphUV = ivec3( x, y, morphTargetIndex ); + return texelFetch( morphTargetsTexture, morphUV, 0 ); + } + #else + #ifndef USE_MORPHNORMALS + uniform float morphTargetInfluences[ 8 ]; + #else + uniform float morphTargetInfluences[ 4 ]; + #endif + #endif +#endif`, Nu = `#ifdef USE_MORPHTARGETS + transformed *= morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ]; + } + #else + transformed += morphTarget0 * morphTargetInfluences[ 0 ]; + transformed += morphTarget1 * morphTargetInfluences[ 1 ]; + transformed += morphTarget2 * morphTargetInfluences[ 2 ]; + transformed += morphTarget3 * morphTargetInfluences[ 3 ]; + #ifndef USE_MORPHNORMALS + transformed += morphTarget4 * morphTargetInfluences[ 4 ]; + transformed += morphTarget5 * morphTargetInfluences[ 5 ]; + transformed += morphTarget6 * morphTargetInfluences[ 6 ]; + transformed += morphTarget7 * morphTargetInfluences[ 7 ]; + #endif + #endif +#endif`, Fu = `float faceDirection = gl_FrontFacing ? 1.0 : - 1.0; +#ifdef FLAT_SHADED + vec3 fdx = dFdx( vViewPosition ); + vec3 fdy = dFdy( vViewPosition ); + vec3 normal = normalize( cross( fdx, fdy ) ); +#else + vec3 normal = normalize( vNormal ); + #ifdef DOUBLE_SIDED + normal *= faceDirection; + #endif +#endif +#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) + #ifdef USE_TANGENT + mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn = getTangentFrame( - vViewPosition, normal, + #if defined( USE_NORMALMAP ) + vNormalMapUv + #elif defined( USE_CLEARCOAT_NORMALMAP ) + vClearcoatNormalMapUv + #else + vUv + #endif + ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn[0] *= faceDirection; + tbn[1] *= faceDirection; + #endif +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + #ifdef USE_TANGENT + mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn2[0] *= faceDirection; + tbn2[1] *= faceDirection; + #endif +#endif +vec3 nonPerturbedNormal = normal;`, Ou = `#ifdef USE_NORMALMAP_OBJECTSPACE + normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + #ifdef FLIP_SIDED + normal = - normal; + #endif + #ifdef DOUBLE_SIDED + normal = normal * faceDirection; + #endif + normal = normalize( normalMatrix * normal ); +#elif defined( USE_NORMALMAP_TANGENTSPACE ) + vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + mapN.xy *= normalScale; + normal = normalize( tbn * mapN ); +#elif defined( USE_BUMPMAP ) + normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection ); +#endif`, Bu = `#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`, zu = `#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`, Gu = `#ifndef FLAT_SHADED + vNormal = normalize( transformedNormal ); + #ifdef USE_TANGENT + vTangent = normalize( transformedTangent ); + vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w ); + #endif +#endif`, Hu = `#ifdef USE_NORMALMAP + uniform sampler2D normalMap; + uniform vec2 normalScale; +#endif +#ifdef USE_NORMALMAP_OBJECTSPACE + uniform mat3 normalMatrix; +#endif +#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) ) + mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) { + vec3 q0 = dFdx( eye_pos.xyz ); + vec3 q1 = dFdy( eye_pos.xyz ); + vec2 st0 = dFdx( uv.st ); + vec2 st1 = dFdy( uv.st ); + vec3 N = surf_norm; + vec3 q1perp = cross( q1, N ); + vec3 q0perp = cross( N, q0 ); + vec3 T = q1perp * st0.x + q0perp * st1.x; + vec3 B = q1perp * st0.y + q0perp * st1.y; + float det = max( dot( T, T ), dot( B, B ) ); + float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det ); + return mat3( T * scale, B * scale, N ); + } +#endif`, Vu = `#ifdef USE_CLEARCOAT + vec3 clearcoatNormal = nonPerturbedNormal; +#endif`, ku = `#ifdef USE_CLEARCOAT_NORMALMAP + vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0; + clearcoatMapN.xy *= clearcoatNormalScale; + clearcoatNormal = normalize( tbn2 * clearcoatMapN ); +#endif`, Wu = `#ifdef USE_CLEARCOATMAP + uniform sampler2D clearcoatMap; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform sampler2D clearcoatNormalMap; + uniform vec2 clearcoatNormalScale; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform sampler2D clearcoatRoughnessMap; +#endif`, Xu = `#ifdef USE_IRIDESCENCEMAP + uniform sampler2D iridescenceMap; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform sampler2D iridescenceThicknessMap; +#endif`, qu = `#ifdef OPAQUE +diffuseColor.a = 1.0; +#endif +#ifdef USE_TRANSMISSION +diffuseColor.a *= material.transmissionAlpha; +#endif +gl_FragColor = vec4( outgoingLight, diffuseColor.a );`, Yu = `vec3 packNormalToRGB( const in vec3 normal ) { + return normalize( normal ) * 0.5 + 0.5; +} +vec3 unpackRGBToNormal( const in vec3 rgb ) { + return 2.0 * rgb.xyz - 1.0; +} +const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.; +const vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. ); +const vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. ); +const float ShiftRight8 = 1. / 256.; +vec4 packDepthToRGBA( const in float v ) { + vec4 r = vec4( fract( v * PackFactors ), v ); + r.yzw -= r.xyz * ShiftRight8; return r * PackUpscale; +} +float unpackRGBAToDepth( const in vec4 v ) { + return dot( v, UnpackFactors ); +} +vec2 packDepthToRG( in highp float v ) { + return packDepthToRGBA( v ).yx; +} +float unpackRGToDepth( const in highp vec2 v ) { + return unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) ); +} +vec4 pack2HalfToRGBA( vec2 v ) { + vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) ); + return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w ); +} +vec2 unpackRGBATo2Half( vec4 v ) { + return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) ); +} +float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) { + return ( viewZ + near ) / ( near - far ); +} +float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) { + return depth * ( near - far ) - near; +} +float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) { + return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ ); +} +float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) { + return ( near * far ) / ( ( far - near ) * depth - far ); +}`, ju = `#ifdef PREMULTIPLIED_ALPHA + gl_FragColor.rgb *= gl_FragColor.a; +#endif`, Ku = `vec4 mvPosition = vec4( transformed, 1.0 ); +#ifdef USE_BATCHING + mvPosition = batchingMatrix * mvPosition; +#endif +#ifdef USE_INSTANCING + mvPosition = instanceMatrix * mvPosition; +#endif +mvPosition = modelViewMatrix * mvPosition; +gl_Position = projectionMatrix * mvPosition;`, Zu = `#ifdef DITHERING + gl_FragColor.rgb = dithering( gl_FragColor.rgb ); +#endif`, $u = `#ifdef DITHERING + vec3 dithering( vec3 color ) { + float grid_position = rand( gl_FragCoord.xy ); + vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 ); + dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position ); + return color + dither_shift_RGB; + } +#endif`, Ju = `float roughnessFactor = roughness; +#ifdef USE_ROUGHNESSMAP + vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv ); + roughnessFactor *= texelRoughness.g; +#endif`, Qu = `#ifdef USE_ROUGHNESSMAP + uniform sampler2D roughnessMap; +#endif`, eh = `#if NUM_SPOT_LIGHT_COORDS > 0 + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#if NUM_SPOT_LIGHT_MAPS > 0 + uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + struct SpotLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + float texture2DCompare( sampler2D depths, vec2 uv, float compare ) { + return step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) ); + } + vec2 texture2DDistribution( sampler2D shadow, vec2 uv ) { + return unpackRGBATo2Half( texture2D( shadow, uv ) ); + } + float VSMShadow (sampler2D shadow, vec2 uv, float compare ){ + float occlusion = 1.0; + vec2 distribution = texture2DDistribution( shadow, uv ); + float hard_shadow = step( compare , distribution.x ); + if (hard_shadow != 1.0 ) { + float distance = compare - distribution.x ; + float variance = max( 0.00000, distribution.y * distribution.y ); + float softness_probability = variance / (variance + distance * distance ); softness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 ); occlusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 ); + } + return occlusion; + } + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + #if defined( SHADOWMAP_TYPE_PCF ) + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float dx0 = - texelSize.x * shadowRadius; + float dy0 = - texelSize.y * shadowRadius; + float dx1 = + texelSize.x * shadowRadius; + float dy1 = + texelSize.y * shadowRadius; + float dx2 = dx0 / 2.0; + float dy2 = dy0 / 2.0; + float dx3 = dx1 / 2.0; + float dy3 = dy1 / 2.0; + shadow = ( + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z ) + ) * ( 1.0 / 17.0 ); + #elif defined( SHADOWMAP_TYPE_PCF_SOFT ) + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float dx = texelSize.x; + float dy = texelSize.y; + vec2 uv = shadowCoord.xy; + vec2 f = fract( uv * shadowMapSize + 0.5 ); + uv -= f * texelSize; + shadow = ( + texture2DCompare( shadowMap, uv, shadowCoord.z ) + + texture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) + + texture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) + + mix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ), + f.x ) + + mix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ), + f.x ) + + mix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ), + f.y ) + + mix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ), + f.y ) + + mix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ), + f.x ), + mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ), + f.x ), + f.y ) + ) * ( 1.0 / 9.0 ); + #elif defined( SHADOWMAP_TYPE_VSM ) + shadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z ); + #else + shadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ); + #endif + } + return shadow; + } + vec2 cubeToUV( vec3 v, float texelSizeY ) { + vec3 absV = abs( v ); + float scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) ); + absV *= scaleToCube; + v *= scaleToCube * ( 1.0 - 2.0 * texelSizeY ); + vec2 planar = v.xy; + float almostATexel = 1.5 * texelSizeY; + float almostOne = 1.0 - almostATexel; + if ( absV.z >= almostOne ) { + if ( v.z > 0.0 ) + planar.x = 4.0 - v.x; + } else if ( absV.x >= almostOne ) { + float signX = sign( v.x ); + planar.x = v.z * signX + 2.0 * signX; + } else if ( absV.y >= almostOne ) { + float signY = sign( v.y ); + planar.x = v.x + 2.0 * signY + 2.0; + planar.y = v.z * signY - 2.0; + } + return vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 ); + } + float getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + vec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) ); + vec3 lightToPosition = shadowCoord.xyz; + float dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear ); dp += shadowBias; + vec3 bd3D = normalize( lightToPosition ); + #if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM ) + vec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y; + return ( + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp ) + ) * ( 1.0 / 9.0 ); + #else + return texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ); + #endif + } +#endif`, th = `#if NUM_SPOT_LIGHT_COORDS > 0 + uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ]; + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + struct SpotLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif +#endif`, nh = `#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 ) + vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + vec4 shadowWorldPosition; +#endif +#if defined( USE_SHADOWMAP ) + #if NUM_DIR_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 ); + vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 ); + vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif +#endif +#if NUM_SPOT_LIGHT_COORDS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) { + shadowWorldPosition = worldPosition; + #if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias; + #endif + vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end +#endif`, ih = `float getShadowMask() { + float shadow = 1.0; + #ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + directionalLight = directionalLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) { + spotLight = spotLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + pointLight = pointLightShadows[ i ]; + shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0; + } + #pragma unroll_loop_end + #endif + #endif + return shadow; +}`, rh = `#ifdef USE_SKINNING + mat4 boneMatX = getBoneMatrix( skinIndex.x ); + mat4 boneMatY = getBoneMatrix( skinIndex.y ); + mat4 boneMatZ = getBoneMatrix( skinIndex.z ); + mat4 boneMatW = getBoneMatrix( skinIndex.w ); +#endif`, sh = `#ifdef USE_SKINNING + uniform mat4 bindMatrix; + uniform mat4 bindMatrixInverse; + uniform highp sampler2D boneTexture; + mat4 getBoneMatrix( const in float i ) { + int size = textureSize( boneTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`, ah = `#ifdef USE_SKINNING + vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 ); + vec4 skinned = vec4( 0.0 ); + skinned += boneMatX * skinVertex * skinWeight.x; + skinned += boneMatY * skinVertex * skinWeight.y; + skinned += boneMatZ * skinVertex * skinWeight.z; + skinned += boneMatW * skinVertex * skinWeight.w; + transformed = ( bindMatrixInverse * skinned ).xyz; +#endif`, oh = `#ifdef USE_SKINNING + mat4 skinMatrix = mat4( 0.0 ); + skinMatrix += skinWeight.x * boneMatX; + skinMatrix += skinWeight.y * boneMatY; + skinMatrix += skinWeight.z * boneMatZ; + skinMatrix += skinWeight.w * boneMatW; + skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix; + objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz; + #ifdef USE_TANGENT + objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz; + #endif +#endif`, lh = `float specularStrength; +#ifdef USE_SPECULARMAP + vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv ); + specularStrength = texelSpecular.r; +#else + specularStrength = 1.0; +#endif`, ch = `#ifdef USE_SPECULARMAP + uniform sampler2D specularMap; +#endif`, uh = `#if defined( TONE_MAPPING ) + gl_FragColor.rgb = toneMapping( gl_FragColor.rgb ); +#endif`, hh = `#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +uniform float toneMappingExposure; +vec3 LinearToneMapping( vec3 color ) { + return saturate( toneMappingExposure * color ); +} +vec3 ReinhardToneMapping( vec3 color ) { + color *= toneMappingExposure; + return saturate( color / ( vec3( 1.0 ) + color ) ); +} +vec3 OptimizedCineonToneMapping( vec3 color ) { + color *= toneMappingExposure; + color = max( vec3( 0.0 ), color - 0.004 ); + return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) ); +} +vec3 RRTAndODTFit( vec3 v ) { + vec3 a = v * ( v + 0.0245786 ) - 0.000090537; + vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081; + return a / b; +} +vec3 ACESFilmicToneMapping( vec3 color ) { + const mat3 ACESInputMat = mat3( + vec3( 0.59719, 0.07600, 0.02840 ), vec3( 0.35458, 0.90834, 0.13383 ), + vec3( 0.04823, 0.01566, 0.83777 ) + ); + const mat3 ACESOutputMat = mat3( + vec3( 1.60475, -0.10208, -0.00327 ), vec3( -0.53108, 1.10813, -0.07276 ), + vec3( -0.07367, -0.00605, 1.07602 ) + ); + color *= toneMappingExposure / 0.6; + color = ACESInputMat * color; + color = RRTAndODTFit( color ); + color = ACESOutputMat * color; + return saturate( color ); +} +const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3( + vec3( 1.6605, - 0.1246, - 0.0182 ), + vec3( - 0.5876, 1.1329, - 0.1006 ), + vec3( - 0.0728, - 0.0083, 1.1187 ) +); +const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3( + vec3( 0.6274, 0.0691, 0.0164 ), + vec3( 0.3293, 0.9195, 0.0880 ), + vec3( 0.0433, 0.0113, 0.8956 ) +); +vec3 agxDefaultContrastApprox( vec3 x ) { + vec3 x2 = x * x; + vec3 x4 = x2 * x2; + return + 15.5 * x4 * x2 + - 40.14 * x4 * x + + 31.96 * x4 + - 6.868 * x2 * x + + 0.4298 * x2 + + 0.1191 * x + - 0.00232; +} +vec3 AgXToneMapping( vec3 color ) { + const mat3 AgXInsetMatrix = mat3( + vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ), + vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ), + vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 ) + ); + const mat3 AgXOutsetMatrix = mat3( + vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ), + vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ), + vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 ) + ); + const float AgxMinEv = - 12.47393; const float AgxMaxEv = 4.026069; + color = LINEAR_SRGB_TO_LINEAR_REC2020 * color; + color *= toneMappingExposure; + color = AgXInsetMatrix * color; + color = max( color, 1e-10 ); color = log2( color ); + color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv ); + color = clamp( color, 0.0, 1.0 ); + color = agxDefaultContrastApprox( color ); + color = AgXOutsetMatrix * color; + color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) ); + color = LINEAR_REC2020_TO_LINEAR_SRGB * color; + return color; +} +vec3 CustomToneMapping( vec3 color ) { return color; }`, dh = `#ifdef USE_TRANSMISSION + material.transmission = transmission; + material.transmissionAlpha = 1.0; + material.thickness = thickness; + material.attenuationDistance = attenuationDistance; + material.attenuationColor = attenuationColor; + #ifdef USE_TRANSMISSIONMAP + material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + #endif + #ifdef USE_THICKNESSMAP + material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + #endif + vec3 pos = vWorldPosition; + vec3 v = normalize( cameraPosition - pos ); + vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec4 transmitted = getIBLVolumeRefraction( + n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, + pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness, + material.attenuationColor, material.attenuationDistance ); + material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission ); +#endif`, fh = `#ifdef USE_TRANSMISSION + uniform float transmission; + uniform float thickness; + uniform float attenuationDistance; + uniform vec3 attenuationColor; + #ifdef USE_TRANSMISSIONMAP + uniform sampler2D transmissionMap; + #endif + #ifdef USE_THICKNESSMAP + uniform sampler2D thicknessMap; + #endif + uniform vec2 transmissionSamplerSize; + uniform sampler2D transmissionSamplerMap; + uniform mat4 modelMatrix; + uniform mat4 projectionMatrix; + varying vec3 vWorldPosition; + float w0( float a ) { + return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + } + float w1( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); + } + float w2( float a ){ + return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + } + float w3( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * a ); + } + float g0( float a ) { + return w0( a ) + w1( a ); + } + float g1( float a ) { + return w2( a ) + w3( a ); + } + float h0( float a ) { + return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); + } + float h1( float a ) { + return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); + } + vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { + uv = uv * texelSize.zw + 0.5; + vec2 iuv = floor( uv ); + vec2 fuv = fract( uv ); + float g0x = g0( fuv.x ); + float g1x = g1( fuv.x ); + float h0x = h0( fuv.x ); + float h1x = h1( fuv.x ); + float h0y = h0( fuv.y ); + float h1y = h1( fuv.y ); + vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + + g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + } + vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { + vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); + vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); + vec2 fLodSizeInv = 1.0 / fLodSize; + vec2 cLodSizeInv = 1.0 / cLodSize; + vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); + vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); + return mix( fSample, cSample, fract( lod ) ); + } + vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { + vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + vec3 modelScale; + modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); + modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); + modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + return normalize( refractionVector ) * thickness * modelScale; + } + float applyIorToRoughness( const in float roughness, const in float ior ) { + return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); + } + vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); + return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + } + vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + if ( isinf( attenuationDistance ) ) { + return vec3( 1.0 ); + } else { + vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; + vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); return transmittance; + } + } + vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, + const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, + const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness, + const in vec3 attenuationColor, const in float attenuationDistance ) { + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); + vec3 attenuatedColor = transmittance * transmittedLight.rgb; + vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + } +#endif`, ph = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + varying vec2 vNormalMapUv; +#endif +#ifdef USE_EMISSIVEMAP + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_SPECULARMAP + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`, mh = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + uniform mat3 mapTransform; + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + uniform mat3 alphaMapTransform; + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + uniform mat3 lightMapTransform; + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + uniform mat3 aoMapTransform; + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + uniform mat3 bumpMapTransform; + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + uniform mat3 normalMapTransform; + varying vec2 vNormalMapUv; +#endif +#ifdef USE_DISPLACEMENTMAP + uniform mat3 displacementMapTransform; + varying vec2 vDisplacementMapUv; +#endif +#ifdef USE_EMISSIVEMAP + uniform mat3 emissiveMapTransform; + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + uniform mat3 metalnessMapTransform; + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + uniform mat3 roughnessMapTransform; + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + uniform mat3 anisotropyMapTransform; + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + uniform mat3 clearcoatMapTransform; + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform mat3 clearcoatNormalMapTransform; + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform mat3 clearcoatRoughnessMapTransform; + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + uniform mat3 sheenColorMapTransform; + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + uniform mat3 sheenRoughnessMapTransform; + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + uniform mat3 iridescenceMapTransform; + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform mat3 iridescenceThicknessMapTransform; + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SPECULARMAP + uniform mat3 specularMapTransform; + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + uniform mat3 specularColorMapTransform; + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + uniform mat3 specularIntensityMapTransform; + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`, _h = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + vUv = vec3( uv, 1 ).xy; +#endif +#ifdef USE_MAP + vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ALPHAMAP + vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_LIGHTMAP + vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_AOMAP + vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_BUMPMAP + vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_NORMALMAP + vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_DISPLACEMENTMAP + vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_EMISSIVEMAP + vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_METALNESSMAP + vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ROUGHNESSMAP + vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ANISOTROPYMAP + vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOATMAP + vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCEMAP + vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_COLORMAP + vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULARMAP + vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_COLORMAP + vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_TRANSMISSIONMAP + vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_THICKNESSMAP + vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy; +#endif`, gh = `#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0 + vec4 worldPosition = vec4( transformed, 1.0 ); + #ifdef USE_BATCHING + worldPosition = batchingMatrix * worldPosition; + #endif + #ifdef USE_INSTANCING + worldPosition = instanceMatrix * worldPosition; + #endif + worldPosition = modelMatrix * worldPosition; +#endif`; +const vh = `varying vec2 vUv; +uniform mat3 uvTransform; +void main() { + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + gl_Position = vec4( position.xy, 1.0, 1.0 ); +}`, xh = `uniform sampler2D t2D; +uniform float backgroundIntensity; +varying vec2 vUv; +void main() { + vec4 texColor = texture2D( t2D, vUv ); + #ifdef DECODE_VIDEO_TEXTURE + texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`, Mh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`, Sh = `#ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; +#elif defined( ENVMAP_TYPE_CUBE_UV ) + uniform sampler2D envMap; +#endif +uniform float flipEnvMap; +uniform float backgroundBlurriness; +uniform float backgroundIntensity; +varying vec3 vWorldDirection; +#include +void main() { + #ifdef ENVMAP_TYPE_CUBE + vec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) ); + #elif defined( ENVMAP_TYPE_CUBE_UV ) + vec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness ); + #else + vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`, Eh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`, yh = `uniform samplerCube tCube; +uniform float tFlip; +uniform float opacity; +varying vec3 vWorldDirection; +void main() { + vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) ); + gl_FragColor = texColor; + gl_FragColor.a *= opacity; + #include + #include +}`, Th = `#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vHighPrecisionZW = gl_Position.zw; +}`, bh = `#if DEPTH_PACKING == 3200 + uniform float opacity; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + vec4 diffuseColor = vec4( 1.0 ); + #if DEPTH_PACKING == 3200 + diffuseColor.a = opacity; + #endif + #include + #include + #include + #include + #include + float fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5; + #if DEPTH_PACKING == 3200 + gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity ); + #elif DEPTH_PACKING == 3201 + gl_FragColor = packDepthToRGBA( fragCoordZ ); + #endif +}`, Ah = `#define DISTANCE +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vWorldPosition = worldPosition.xyz; +}`, wh = `#define DISTANCE +uniform vec3 referencePosition; +uniform float nearDistance; +uniform float farDistance; +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +#include +void main () { + #include + vec4 diffuseColor = vec4( 1.0 ); + #include + #include + #include + #include + float dist = length( vWorldPosition - referencePosition ); + dist = ( dist - nearDistance ) / ( farDistance - nearDistance ); + dist = saturate( dist ); + gl_FragColor = packDepthToRGBA( dist ); +}`, Rh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include +}`, Ch = `uniform sampler2D tEquirect; +varying vec3 vWorldDirection; +#include +void main() { + vec3 direction = normalize( vWorldDirection ); + vec2 sampleUV = equirectUv( direction ); + gl_FragColor = texture2D( tEquirect, sampleUV ); + #include + #include +}`, Lh = `uniform float scale; +attribute float lineDistance; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vLineDistance = scale * lineDistance; + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Ph = `uniform vec3 diffuse; +uniform float opacity; +uniform float dashSize; +uniform float totalSize; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + if ( mod( vLineDistance, totalSize ) > dashSize ) { + discard; + } + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`, Dh = `#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #if defined ( USE_ENVMAP ) || defined ( USE_SKINNING ) + #include + #include + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Uh = `uniform vec3 diffuse; +uniform float opacity; +#ifndef FLAT_SHADED + varying vec3 vNormal; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI; + #else + reflectedLight.indirectDiffuse += vec3( 1.0 ); + #endif + #include + reflectedLight.indirectDiffuse *= diffuseColor.rgb; + vec3 outgoingLight = reflectedLight.indirectDiffuse; + #include + #include + #include + #include + #include + #include + #include +}`, Ih = `#define LAMBERT +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`, Nh = `#define LAMBERT +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`, Fh = `#define MATCAP +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; +}`, Oh = `#define MATCAP +uniform vec3 diffuse; +uniform float opacity; +uniform sampler2D matcap; +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + vec3 viewDir = normalize( vViewPosition ); + vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) ); + vec3 y = cross( viewDir, x ); + vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; + #ifdef USE_MATCAP + vec4 matcapColor = texture2D( matcap, uv ); + #else + vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 ); + #endif + vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb; + #include + #include + #include + #include + #include + #include +}`, Bh = `#define NORMAL +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + vViewPosition = - mvPosition.xyz; +#endif +}`, zh = `#define NORMAL +uniform float opacity; +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + gl_FragColor = vec4( packNormalToRGB( normal ), opacity ); + #ifdef OPAQUE + gl_FragColor.a = 1.0; + #endif +}`, Gh = `#define PHONG +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`, Hh = `#define PHONG +uniform vec3 diffuse; +uniform vec3 emissive; +uniform vec3 specular; +uniform float shininess; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`, Vh = `#define STANDARD +varying vec3 vViewPosition; +#ifdef USE_TRANSMISSION + varying vec3 vWorldPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +#ifdef USE_TRANSMISSION + vWorldPosition = worldPosition.xyz; +#endif +}`, kh = `#define STANDARD +#ifdef PHYSICAL + #define IOR + #define USE_SPECULAR +#endif +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float roughness; +uniform float metalness; +uniform float opacity; +#ifdef IOR + uniform float ior; +#endif +#ifdef USE_SPECULAR + uniform float specularIntensity; + uniform vec3 specularColor; + #ifdef USE_SPECULAR_COLORMAP + uniform sampler2D specularColorMap; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + uniform sampler2D specularIntensityMap; + #endif +#endif +#ifdef USE_CLEARCOAT + uniform float clearcoat; + uniform float clearcoatRoughness; +#endif +#ifdef USE_IRIDESCENCE + uniform float iridescence; + uniform float iridescenceIOR; + uniform float iridescenceThicknessMinimum; + uniform float iridescenceThicknessMaximum; +#endif +#ifdef USE_SHEEN + uniform vec3 sheenColor; + uniform float sheenRoughness; + #ifdef USE_SHEEN_COLORMAP + uniform sampler2D sheenColorMap; + #endif + #ifdef USE_SHEEN_ROUGHNESSMAP + uniform sampler2D sheenRoughnessMap; + #endif +#endif +#ifdef USE_ANISOTROPY + uniform vec2 anisotropyVector; + #ifdef USE_ANISOTROPYMAP + uniform sampler2D anisotropyMap; + #endif +#endif +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse; + vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular; + #include + vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance; + #ifdef USE_SHEEN + float sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor ); + outgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect; + #endif + #ifdef USE_CLEARCOAT + float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) ); + vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc ); + outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat; + #endif + #include + #include + #include + #include + #include + #include +}`, Wh = `#define TOON +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +}`, Xh = `#define TOON +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include +}`, qh = `uniform float size; +uniform float scale; +#include +#include +#include +#include +#include +#include +#ifdef USE_POINTS_UV + varying vec2 vUv; + uniform mat3 uvTransform; +#endif +void main() { + #ifdef USE_POINTS_UV + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + #endif + #include + #include + #include + #include + #include + gl_PointSize = size; + #ifdef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z ); + #endif + #include + #include + #include + #include +}`, Yh = `uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`, jh = `#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Kh = `uniform vec3 color; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) ); + #include + #include + #include +}`, Zh = `uniform float rotation; +uniform vec2 center; +#include +#include +#include +#include +#include +void main() { + #include + vec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 ); + vec2 scale; + scale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) ); + scale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) ); + #ifndef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) scale *= - mvPosition.z; + #endif + vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale; + vec2 rotatedPosition; + rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y; + rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y; + mvPosition.xy += rotatedPosition; + gl_Position = projectionMatrix * mvPosition; + #include + #include + #include +}`, $h = `uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include +}`, Be = { + alphahash_fragment: xc, + alphahash_pars_fragment: Mc, + alphamap_fragment: Sc, + alphamap_pars_fragment: Ec, + alphatest_fragment: yc, + alphatest_pars_fragment: Tc, + aomap_fragment: bc, + aomap_pars_fragment: Ac, + batching_pars_vertex: wc, + batching_vertex: Rc, + begin_vertex: Cc, + beginnormal_vertex: Lc, + bsdfs: Pc, + iridescence_fragment: Dc, + bumpmap_pars_fragment: Uc, + clipping_planes_fragment: Ic, + clipping_planes_pars_fragment: Nc, + clipping_planes_pars_vertex: Fc, + clipping_planes_vertex: Oc, + color_fragment: Bc, + color_pars_fragment: zc, + color_pars_vertex: Gc, + color_vertex: Hc, + common: Vc, + cube_uv_reflection_fragment: kc, + defaultnormal_vertex: Wc, + displacementmap_pars_vertex: Xc, + displacementmap_vertex: qc, + emissivemap_fragment: Yc, + emissivemap_pars_fragment: jc, + colorspace_fragment: Kc, + colorspace_pars_fragment: Zc, + envmap_fragment: $c, + envmap_common_pars_fragment: Jc, + envmap_pars_fragment: Qc, + envmap_pars_vertex: eu, + envmap_physical_pars_fragment: du, + envmap_vertex: tu, + fog_vertex: nu, + fog_pars_vertex: iu, + fog_fragment: ru, + fog_pars_fragment: su, + gradientmap_pars_fragment: au, + lightmap_fragment: ou, + lightmap_pars_fragment: lu, + lights_lambert_fragment: cu, + lights_lambert_pars_fragment: uu, + lights_pars_begin: hu, + lights_toon_fragment: fu, + lights_toon_pars_fragment: pu, + lights_phong_fragment: mu, + lights_phong_pars_fragment: _u, + lights_physical_fragment: gu, + lights_physical_pars_fragment: vu, + lights_fragment_begin: xu, + lights_fragment_maps: Mu, + lights_fragment_end: Su, + logdepthbuf_fragment: Eu, + logdepthbuf_pars_fragment: yu, + logdepthbuf_pars_vertex: Tu, + logdepthbuf_vertex: bu, + map_fragment: Au, + map_pars_fragment: wu, + map_particle_fragment: Ru, + map_particle_pars_fragment: Cu, + metalnessmap_fragment: Lu, + metalnessmap_pars_fragment: Pu, + morphcolor_vertex: Du, + morphnormal_vertex: Uu, + morphtarget_pars_vertex: Iu, + morphtarget_vertex: Nu, + normal_fragment_begin: Fu, + normal_fragment_maps: Ou, + normal_pars_fragment: Bu, + normal_pars_vertex: zu, + normal_vertex: Gu, + normalmap_pars_fragment: Hu, + clearcoat_normal_fragment_begin: Vu, + clearcoat_normal_fragment_maps: ku, + clearcoat_pars_fragment: Wu, + iridescence_pars_fragment: Xu, + opaque_fragment: qu, + packing: Yu, + premultiplied_alpha_fragment: ju, + project_vertex: Ku, + dithering_fragment: Zu, + dithering_pars_fragment: $u, + roughnessmap_fragment: Ju, + roughnessmap_pars_fragment: Qu, + shadowmap_pars_fragment: eh, + shadowmap_pars_vertex: th, + shadowmap_vertex: nh, + shadowmask_pars_fragment: ih, + skinbase_vertex: rh, + skinning_pars_vertex: sh, + skinning_vertex: ah, + skinnormal_vertex: oh, + specularmap_fragment: lh, + specularmap_pars_fragment: ch, + tonemapping_fragment: uh, + tonemapping_pars_fragment: hh, + transmission_fragment: dh, + transmission_pars_fragment: fh, + uv_pars_fragment: ph, + uv_pars_vertex: mh, + uv_vertex: _h, + worldpos_vertex: gh, + background_vert: vh, + background_frag: xh, + backgroundCube_vert: Mh, + backgroundCube_frag: Sh, + cube_vert: Eh, + cube_frag: yh, + depth_vert: Th, + depth_frag: bh, + distanceRGBA_vert: Ah, + distanceRGBA_frag: wh, + equirect_vert: Rh, + equirect_frag: Ch, + linedashed_vert: Lh, + linedashed_frag: Ph, + meshbasic_vert: Dh, + meshbasic_frag: Uh, + meshlambert_vert: Ih, + meshlambert_frag: Nh, + meshmatcap_vert: Fh, + meshmatcap_frag: Oh, + meshnormal_vert: Bh, + meshnormal_frag: zh, + meshphong_vert: Gh, + meshphong_frag: Hh, + meshphysical_vert: Vh, + meshphysical_frag: kh, + meshtoon_vert: Wh, + meshtoon_frag: Xh, + points_vert: qh, + points_frag: Yh, + shadow_vert: jh, + shadow_frag: Kh, + sprite_vert: Zh, + sprite_frag: $h +}, se = { + common: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + map: { value: null }, + mapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 } + }, + specularmap: { + specularMap: { value: null }, + specularMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + envmap: { + envMap: { value: null }, + flipEnvMap: { value: -1 }, + reflectivity: { value: 1 }, + // basic, lambert, phong + ior: { value: 1.5 }, + // physical + refractionRatio: { value: 0.98 } + // basic, lambert, phong + }, + aomap: { + aoMap: { value: null }, + aoMapIntensity: { value: 1 }, + aoMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + lightmap: { + lightMap: { value: null }, + lightMapIntensity: { value: 1 }, + lightMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + bumpmap: { + bumpMap: { value: null }, + bumpMapTransform: { value: /* @__PURE__ */ new Ve() }, + bumpScale: { value: 1 } + }, + normalmap: { + normalMap: { value: null }, + normalMapTransform: { value: /* @__PURE__ */ new Ve() }, + normalScale: { value: /* @__PURE__ */ new Ie(1, 1) } + }, + displacementmap: { + displacementMap: { value: null }, + displacementMapTransform: { value: /* @__PURE__ */ new Ve() }, + displacementScale: { value: 1 }, + displacementBias: { value: 0 } + }, + emissivemap: { + emissiveMap: { value: null }, + emissiveMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + metalnessmap: { + metalnessMap: { value: null }, + metalnessMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + roughnessmap: { + roughnessMap: { value: null }, + roughnessMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + gradientmap: { + gradientMap: { value: null } + }, + fog: { + fogDensity: { value: 25e-5 }, + fogNear: { value: 1 }, + fogFar: { value: 2e3 }, + fogColor: { value: /* @__PURE__ */ new Xe(16777215) } + }, + lights: { + ambientLightColor: { value: [] }, + lightProbe: { value: [] }, + directionalLights: { value: [], properties: { + direction: {}, + color: {} + } }, + directionalLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {} + } }, + directionalShadowMap: { value: [] }, + directionalShadowMatrix: { value: [] }, + spotLights: { value: [], properties: { + color: {}, + position: {}, + direction: {}, + distance: {}, + coneCos: {}, + penumbraCos: {}, + decay: {} + } }, + spotLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {} + } }, + spotLightMap: { value: [] }, + spotShadowMap: { value: [] }, + spotLightMatrix: { value: [] }, + pointLights: { value: [], properties: { + color: {}, + position: {}, + decay: {}, + distance: {} + } }, + pointLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {}, + shadowCameraNear: {}, + shadowCameraFar: {} + } }, + pointShadowMap: { value: [] }, + pointShadowMatrix: { value: [] }, + hemisphereLights: { value: [], properties: { + direction: {}, + skyColor: {}, + groundColor: {} + } }, + // TODO (abelnation): RectAreaLight BRDF data needs to be moved from example to main src + rectAreaLights: { value: [], properties: { + color: {}, + position: {}, + width: {}, + height: {} + } }, + ltc_1: { value: null }, + ltc_2: { value: null } + }, + points: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + size: { value: 1 }, + scale: { value: 1 }, + map: { value: null }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 }, + uvTransform: { value: /* @__PURE__ */ new Ve() } + }, + sprite: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + center: { value: /* @__PURE__ */ new Ie(0.5, 0.5) }, + rotation: { value: 0 }, + map: { value: null }, + mapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 } + } +}, Gt = { + basic: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.specularmap, + se.envmap, + se.aomap, + se.lightmap, + se.fog + ]), + vertexShader: Be.meshbasic_vert, + fragmentShader: Be.meshbasic_frag + }, + lambert: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.specularmap, + 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dashSize: { value: 1 }, + totalSize: { value: 2 } + } + ]), + vertexShader: Be.linedashed_vert, + fragmentShader: Be.linedashed_frag + }, + depth: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.displacementmap + ]), + vertexShader: Be.depth_vert, + fragmentShader: Be.depth_frag + }, + normal: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.bumpmap, + se.normalmap, + se.displacementmap, + { + opacity: { value: 1 } + } + ]), + vertexShader: Be.meshnormal_vert, + fragmentShader: Be.meshnormal_frag + }, + sprite: { + uniforms: /* @__PURE__ */ _t([ + se.sprite, + se.fog + ]), + vertexShader: Be.sprite_vert, + fragmentShader: Be.sprite_frag + }, + background: { + uniforms: { + uvTransform: { value: /* @__PURE__ */ new Ve() }, + t2D: { value: null }, + backgroundIntensity: { value: 1 } + }, + vertexShader: Be.background_vert, + fragmentShader: Be.background_frag + }, + backgroundCube: { + uniforms: { + envMap: { value: null }, + flipEnvMap: { value: -1 }, + backgroundBlurriness: { value: 0 }, + backgroundIntensity: { value: 1 } + }, + vertexShader: Be.backgroundCube_vert, + fragmentShader: Be.backgroundCube_frag + }, + cube: { + uniforms: { + tCube: { value: null }, + tFlip: { value: -1 }, + opacity: { value: 1 } + }, + vertexShader: Be.cube_vert, + fragmentShader: Be.cube_frag + }, + equirect: { + uniforms: { + tEquirect: { value: null } + }, + vertexShader: Be.equirect_vert, + fragmentShader: Be.equirect_frag + }, + distanceRGBA: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.displacementmap, + { + referencePosition: { value: /* @__PURE__ */ new P() }, + nearDistance: { value: 1 }, + farDistance: { value: 1e3 } + } + ]), + vertexShader: Be.distanceRGBA_vert, + fragmentShader: Be.distanceRGBA_frag + }, + shadow: { + uniforms: /* @__PURE__ */ _t([ + se.lights, + se.fog, + { + color: { value: /* @__PURE__ */ new Xe(0) }, + opacity: { value: 1 } + } + ]), + vertexShader: Be.shadow_vert, + fragmentShader: Be.shadow_frag + } +}; +Gt.physical = { + uniforms: /* @__PURE__ */ _t([ + Gt.standard.uniforms, + { + clearcoat: { value: 0 }, + clearcoatMap: { value: null }, + clearcoatMapTransform: { value: /* @__PURE__ */ new Ve() }, + clearcoatNormalMap: { value: null }, + clearcoatNormalMapTransform: { value: /* @__PURE__ */ new Ve() }, + clearcoatNormalScale: { value: /* @__PURE__ */ new Ie(1, 1) }, + clearcoatRoughness: { value: 0 }, + clearcoatRoughnessMap: { value: null }, + clearcoatRoughnessMapTransform: { value: /* @__PURE__ */ new Ve() }, + iridescence: { value: 0 }, + iridescenceMap: { value: null }, + iridescenceMapTransform: { value: /* @__PURE__ */ new Ve() }, + iridescenceIOR: { value: 1.3 }, + iridescenceThicknessMinimum: { value: 100 }, + iridescenceThicknessMaximum: { value: 400 }, + iridescenceThicknessMap: { value: null }, + iridescenceThicknessMapTransform: { value: /* @__PURE__ */ new Ve() }, + sheen: { value: 0 }, + sheenColor: { value: /* @__PURE__ */ new Xe(0) }, + sheenColorMap: { value: null }, + sheenColorMapTransform: { value: /* @__PURE__ */ new Ve() }, + sheenRoughness: { value: 1 }, + sheenRoughnessMap: { value: null }, + sheenRoughnessMapTransform: { value: /* @__PURE__ */ new Ve() }, + transmission: { value: 0 }, + transmissionMap: { value: null }, + transmissionMapTransform: { value: /* @__PURE__ */ new Ve() }, + transmissionSamplerSize: { value: /* @__PURE__ */ new Ie() }, + transmissionSamplerMap: { value: null }, + thickness: { value: 0 }, + thicknessMap: { value: null }, + thicknessMapTransform: { value: /* @__PURE__ */ new Ve() }, + attenuationDistance: { value: 0 }, + attenuationColor: { value: /* @__PURE__ */ new Xe(0) }, + specularColor: { value: /* @__PURE__ */ new Xe(1, 1, 1) }, + specularColorMap: { value: null }, + specularColorMapTransform: { value: /* @__PURE__ */ new Ve() }, + specularIntensity: { value: 1 }, + specularIntensityMap: { value: null }, + specularIntensityMapTransform: { value: /* @__PURE__ */ new Ve() }, + anisotropyVector: { value: /* @__PURE__ */ new Ie() }, + anisotropyMap: { value: null }, + anisotropyMapTransform: { value: /* @__PURE__ */ new Ve() } + } + ]), + vertexShader: Be.meshphysical_vert, + fragmentShader: Be.meshphysical_frag +}; +const Wi = { r: 0, b: 0, g: 0 }; +function Jh(i, e, t, n, r, s, o) { + const a = new Xe(0); + let l = s === !0 ? 0 : 1, c, h, d = null, p = 0, m = null; + function g(f, u) { + let b = !1, S = u.isScene === !0 ? u.background : null; + S && S.isTexture && (S = (u.backgroundBlurriness > 0 ? t : e).get(S)), S === null ? v(a, l) : S && S.isColor && (v(S, 1), b = !0); + const R = i.xr.getEnvironmentBlendMode(); + R === "additive" ? n.buffers.color.setClear(0, 0, 0, 1, o) : R === "alpha-blend" && n.buffers.color.setClear(0, 0, 0, 0, o), (i.autoClear || b) && i.clear(i.autoClearColor, i.autoClearDepth, i.autoClearStencil), S && (S.isCubeTexture || S.mapping === rr) ? (h === void 0 && (h = new Ot( + new ii(1, 1, 1), + new wn({ + name: "BackgroundCubeMaterial", + uniforms: ni(Gt.backgroundCube.uniforms), + vertexShader: Gt.backgroundCube.vertexShader, + fragmentShader: Gt.backgroundCube.fragmentShader, + side: Mt, + depthTest: !1, + depthWrite: !1, + fog: !1 + }) + ), h.geometry.deleteAttribute("normal"), h.geometry.deleteAttribute("uv"), h.onBeforeRender = function(D, C, A) { + this.matrixWorld.copyPosition(A.matrixWorld); + }, Object.defineProperty(h.material, "envMap", { + get: function() { + return this.uniforms.envMap.value; + } + }), r.update(h)), h.material.uniforms.envMap.value = S, h.material.uniforms.flipEnvMap.value = S.isCubeTexture && S.isRenderTargetTexture === !1 ? -1 : 1, h.material.uniforms.backgroundBlurriness.value = u.backgroundBlurriness, h.material.uniforms.backgroundIntensity.value = u.backgroundIntensity, h.material.toneMapped = Ke.getTransfer(S.colorSpace) !== Ze, (d !== S || p !== S.version || m !== i.toneMapping) && (h.material.needsUpdate = !0, d = S, p = S.version, m = i.toneMapping), h.layers.enableAll(), f.unshift(h, h.geometry, h.material, 0, 0, null)) : S && S.isTexture && (c === void 0 && (c = new Ot( + new us(2, 2), + new wn({ + name: "BackgroundMaterial", + uniforms: ni(Gt.background.uniforms), + vertexShader: Gt.background.vertexShader, + fragmentShader: Gt.background.fragmentShader, + side: un, + depthTest: !1, + depthWrite: !1, + fog: !1 + }) + ), c.geometry.deleteAttribute("normal"), Object.defineProperty(c.material, "map", { + get: function() { + return this.uniforms.t2D.value; + } + }), r.update(c)), c.material.uniforms.t2D.value = S, c.material.uniforms.backgroundIntensity.value = u.backgroundIntensity, c.material.toneMapped = Ke.getTransfer(S.colorSpace) !== Ze, S.matrixAutoUpdate === !0 && S.updateMatrix(), c.material.uniforms.uvTransform.value.copy(S.matrix), (d !== S || p !== S.version || m !== i.toneMapping) && (c.material.needsUpdate = !0, d = S, p = S.version, m = i.toneMapping), c.layers.enableAll(), f.unshift(c, c.geometry, c.material, 0, 0, null)); + } + function v(f, u) { + f.getRGB(Wi, Co(i)), n.buffers.color.setClear(Wi.r, Wi.g, Wi.b, u, o); + } + return { + getClearColor: function() { + return a; + }, + setClearColor: function(f, u = 1) { + a.set(f), l = u, v(a, l); + }, + getClearAlpha: function() { + return l; + }, + setClearAlpha: function(f) { + l = f, v(a, l); + }, + render: g + }; +} +function Qh(i, e, t, n) { + const r = i.getParameter(i.MAX_VERTEX_ATTRIBS), s = n.isWebGL2 ? null : e.get("OES_vertex_array_object"), o = n.isWebGL2 || s !== null, a = {}, l = f(null); + let c = l, h = !1; + function d(L, F, V, Y, X) { + let k = !1; + if (o) { + const q = v(Y, V, F); + c !== q && (c = q, m(c.object)), k = u(L, Y, V, X), k && b(L, Y, V, X); + } else { + const q = F.wireframe === !0; + (c.geometry !== Y.id || c.program !== V.id || c.wireframe !== q) && (c.geometry = Y.id, c.program = V.id, c.wireframe = q, k = !0); + } + X !== null && t.update(X, i.ELEMENT_ARRAY_BUFFER), (k || h) && (h = !1, W(L, F, V, Y), X !== null && i.bindBuffer(i.ELEMENT_ARRAY_BUFFER, t.get(X).buffer)); + } + function p() { + return n.isWebGL2 ? i.createVertexArray() : s.createVertexArrayOES(); + } + function m(L) { + return n.isWebGL2 ? i.bindVertexArray(L) : s.bindVertexArrayOES(L); + } + function g(L) { + return n.isWebGL2 ? i.deleteVertexArray(L) : s.deleteVertexArrayOES(L); + } + function v(L, F, V) { + const Y = V.wireframe === !0; + let X = a[L.id]; + X === void 0 && (X = {}, a[L.id] = X); + let k = X[F.id]; + k === void 0 && (k = {}, X[F.id] = k); + let q = k[Y]; + return q === void 0 && (q = f(p()), k[Y] = q), q; + } + function f(L) { + const F = [], V = [], Y = []; + for (let X = 0; X < r; X++) + F[X] = 0, V[X] = 0, Y[X] = 0; + return { + // for backward compatibility on non-VAO support browser + geometry: null, + program: null, + wireframe: !1, + newAttributes: F, + enabledAttributes: V, + attributeDivisors: Y, + object: L, + attributes: {}, + index: null + }; + } + function u(L, F, V, Y) { + const X = c.attributes, k = F.attributes; + let q = 0; + const Q = V.getAttributes(); + for (const ce in Q) + if (Q[ce].location >= 0) { + const j = X[ce]; + let oe = k[ce]; + if (oe === void 0 && (ce === "instanceMatrix" && L.instanceMatrix && (oe = L.instanceMatrix), ce === "instanceColor" && L.instanceColor && (oe = L.instanceColor)), j === void 0 || j.attribute !== oe || oe && j.data !== oe.data) return !0; + q++; + } + return c.attributesNum !== q || c.index !== Y; + } + function b(L, F, V, Y) { + const X = {}, k = F.attributes; + let q = 0; + const Q = V.getAttributes(); + for (const ce in Q) + if (Q[ce].location >= 0) { + let j = k[ce]; + j === void 0 && (ce === "instanceMatrix" && L.instanceMatrix && (j = L.instanceMatrix), ce === "instanceColor" && L.instanceColor && (j = L.instanceColor)); + const oe = {}; + oe.attribute = j, j && j.data && (oe.data = j.data), X[ce] = oe, q++; + } + c.attributes = X, c.attributesNum = q, c.index = Y; + } + function S() { + const L = c.newAttributes; + for (let F = 0, V = L.length; F < V; F++) + L[F] = 0; + } + function R(L) { + D(L, 0); + } + function D(L, F) { + const V = c.newAttributes, Y = c.enabledAttributes, X = c.attributeDivisors; + V[L] = 1, Y[L] === 0 && (i.enableVertexAttribArray(L), Y[L] = 1), X[L] !== F && ((n.isWebGL2 ? i : e.get("ANGLE_instanced_arrays"))[n.isWebGL2 ? "vertexAttribDivisor" : "vertexAttribDivisorANGLE"](L, F), X[L] = F); + } + function C() { + const L = c.newAttributes, F = c.enabledAttributes; + for (let V = 0, Y = F.length; V < Y; V++) + F[V] !== L[V] && (i.disableVertexAttribArray(V), F[V] = 0); + } + function A(L, F, V, Y, X, k, q) { + q === !0 ? i.vertexAttribIPointer(L, F, V, X, k) : i.vertexAttribPointer(L, F, V, Y, X, k); + } + function W(L, F, V, Y) { + if (n.isWebGL2 === !1 && (L.isInstancedMesh || Y.isInstancedBufferGeometry) && e.get("ANGLE_instanced_arrays") === null) + return; + S(); + const X = Y.attributes, k = V.getAttributes(), q = F.defaultAttributeValues; + for (const Q in k) { + const ce = k[Q]; + if (ce.location >= 0) { + let H = X[Q]; + if (H === void 0 && (Q === "instanceMatrix" && L.instanceMatrix && (H = L.instanceMatrix), Q === "instanceColor" && L.instanceColor && (H = L.instanceColor)), H !== void 0) { + const j = H.normalized, oe = H.itemSize, ve = t.get(H); + if (ve === void 0) continue; + const _e = ve.buffer, we = ve.type, Ae = ve.bytesPerElement, ge = n.isWebGL2 === !0 && (we === i.INT || we === i.UNSIGNED_INT || H.gpuType === co); + if (H.isInterleavedBufferAttribute) { + const Pe = H.data, N = Pe.stride, rt = H.offset; + if (Pe.isInstancedInterleavedBuffer) { + for (let Me = 0; Me < ce.locationSize; Me++) + D(ce.location + Me, Pe.meshPerAttribute); + L.isInstancedMesh !== !0 && Y._maxInstanceCount === void 0 && (Y._maxInstanceCount = Pe.meshPerAttribute * Pe.count); + } else + for (let Me = 0; Me < ce.locationSize; Me++) + R(ce.location + Me); + i.bindBuffer(i.ARRAY_BUFFER, _e); + for (let Me = 0; Me < ce.locationSize; Me++) + A( + ce.location + Me, + oe / ce.locationSize, + we, + j, + N * Ae, + (rt + oe / ce.locationSize * Me) * Ae, + ge + ); + } else { + if (H.isInstancedBufferAttribute) { + for (let Pe = 0; Pe < ce.locationSize; Pe++) + D(ce.location + Pe, H.meshPerAttribute); + L.isInstancedMesh !== !0 && Y._maxInstanceCount === void 0 && (Y._maxInstanceCount = H.meshPerAttribute * H.count); + } else + for (let Pe = 0; Pe < ce.locationSize; Pe++) + R(ce.location + Pe); + i.bindBuffer(i.ARRAY_BUFFER, _e); + for (let Pe = 0; Pe < ce.locationSize; Pe++) + A( + ce.location + Pe, + oe / ce.locationSize, + we, + j, + oe * Ae, + oe / ce.locationSize * Pe * Ae, + ge + ); + } + } else if (q !== void 0) { + const j = q[Q]; + if (j !== void 0) + switch (j.length) { + case 2: + i.vertexAttrib2fv(ce.location, j); + break; + case 3: + i.vertexAttrib3fv(ce.location, j); + break; + case 4: + i.vertexAttrib4fv(ce.location, j); + break; + default: + i.vertexAttrib1fv(ce.location, j); + } + } + } + } + C(); + } + function x() { + Z(); + for (const L in a) { + const F = a[L]; + for (const V in F) { + const Y = F[V]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete F[V]; + } + delete a[L]; + } + } + function y(L) { + if (a[L.id] === void 0) return; + const F = a[L.id]; + for (const V in F) { + const Y = F[V]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete F[V]; + } + delete a[L.id]; + } + function z(L) { + for (const F in a) { + const V = a[F]; + if (V[L.id] === void 0) continue; + const Y = V[L.id]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete V[L.id]; + } + } + function Z() { + re(), h = !0, c !== l && (c = l, m(c.object)); + } + function re() { + l.geometry = null, l.program = null, l.wireframe = !1; + } + return { + setup: d, + reset: Z, + resetDefaultState: re, + dispose: x, + releaseStatesOfGeometry: y, + releaseStatesOfProgram: z, + initAttributes: S, + enableAttribute: R, + disableUnusedAttributes: C + }; +} +function ed(i, e, t, n) { + const r = n.isWebGL2; + let s; + function o(h) { + s = h; + } + function a(h, d) { + i.drawArrays(s, h, d), t.update(d, s, 1); + } + function l(h, d, p) { + if (p === 0) return; + let m, g; + if (r) + m = i, g = "drawArraysInstanced"; + else if (m = e.get("ANGLE_instanced_arrays"), g = "drawArraysInstancedANGLE", m === null) { + console.error("THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); + return; + } + m[g](s, h, d, p), t.update(d, s, p); + } + function c(h, d, p) { + if (p === 0) return; + const m = e.get("WEBGL_multi_draw"); + if (m === null) + for (let g = 0; g < p; g++) + this.render(h[g], d[g]); + else { + m.multiDrawArraysWEBGL(s, h, 0, d, 0, p); + let g = 0; + for (let v = 0; v < p; v++) + g += d[v]; + t.update(g, s, 1); + } + } + this.setMode = o, this.render = a, this.renderInstances = l, this.renderMultiDraw = c; +} +function td(i, e, t) { + let n; + function r() { + if (n !== void 0) return n; + if (e.has("EXT_texture_filter_anisotropic") === !0) { + const A = e.get("EXT_texture_filter_anisotropic"); + n = i.getParameter(A.MAX_TEXTURE_MAX_ANISOTROPY_EXT); + } else + n = 0; + return n; + } + function s(A) { + if (A === "highp") { + if (i.getShaderPrecisionFormat(i.VERTEX_SHADER, i.HIGH_FLOAT).precision > 0 && i.getShaderPrecisionFormat(i.FRAGMENT_SHADER, i.HIGH_FLOAT).precision > 0) + return "highp"; + A = "mediump"; + } + return A === "mediump" && i.getShaderPrecisionFormat(i.VERTEX_SHADER, i.MEDIUM_FLOAT).precision > 0 && i.getShaderPrecisionFormat(i.FRAGMENT_SHADER, i.MEDIUM_FLOAT).precision > 0 ? "mediump" : "lowp"; + } + const o = typeof WebGL2RenderingContext < "u" && i.constructor.name === "WebGL2RenderingContext"; + let a = t.precision !== void 0 ? t.precision : "highp"; + const l = s(a); + l !== a && (console.warn("THREE.WebGLRenderer:", a, "not supported, using", l, "instead."), a = l); + const c = o || e.has("WEBGL_draw_buffers"), h = t.logarithmicDepthBuffer === !0, d = i.getParameter(i.MAX_TEXTURE_IMAGE_UNITS), p = i.getParameter(i.MAX_VERTEX_TEXTURE_IMAGE_UNITS), m = i.getParameter(i.MAX_TEXTURE_SIZE), g = i.getParameter(i.MAX_CUBE_MAP_TEXTURE_SIZE), v = i.getParameter(i.MAX_VERTEX_ATTRIBS), f = i.getParameter(i.MAX_VERTEX_UNIFORM_VECTORS), u = i.getParameter(i.MAX_VARYING_VECTORS), b = i.getParameter(i.MAX_FRAGMENT_UNIFORM_VECTORS), S = p > 0, R = o || e.has("OES_texture_float"), D = S && R, C = o ? i.getParameter(i.MAX_SAMPLES) : 0; + return { + isWebGL2: o, + drawBuffers: c, + getMaxAnisotropy: r, + getMaxPrecision: s, + precision: a, + logarithmicDepthBuffer: h, + maxTextures: d, + maxVertexTextures: p, + maxTextureSize: m, + maxCubemapSize: g, + maxAttributes: v, + maxVertexUniforms: f, + maxVaryings: u, + maxFragmentUniforms: b, + vertexTextures: S, + floatFragmentTextures: R, + floatVertexTextures: D, + maxSamples: C + }; +} +function nd(i) { + const e = this; + let t = null, n = 0, r = !1, s = !1; + const o = new rn(), a = new Ve(), l = { value: null, needsUpdate: !1 }; + this.uniform = l, this.numPlanes = 0, this.numIntersection = 0, this.init = function(d, p) { + const m = d.length !== 0 || p || // enable state of previous frame - the clipping code has to + // run another frame in order to reset the state: + n !== 0 || r; + return r = p, n = d.length, m; + }, this.beginShadows = function() { + s = !0, h(null); + }, this.endShadows = function() { + s = !1; + }, this.setGlobalState = function(d, p) { + t = h(d, p, 0); + }, this.setState = function(d, p, m) { + const g = d.clippingPlanes, v = d.clipIntersection, f = d.clipShadows, u = i.get(d); + if (!r || g === null || g.length === 0 || s && !f) + s ? h(null) : c(); + else { + const b = s ? 0 : n, S = b * 4; + let R = u.clippingState || null; + l.value = R, R = h(g, p, S, m); + for (let D = 0; D !== S; ++D) + R[D] = t[D]; + u.clippingState = R, this.numIntersection = v ? this.numPlanes : 0, this.numPlanes += b; + } + }; + function c() { + l.value !== t && (l.value = t, l.needsUpdate = n > 0), e.numPlanes = n, e.numIntersection = 0; + } + function h(d, p, m, g) { + const v = d !== null ? d.length : 0; + let f = null; + if (v !== 0) { + if (f = l.value, g !== !0 || f === null) { + const u = m + v * 4, b = p.matrixWorldInverse; + a.getNormalMatrix(b), (f === null || f.length < u) && (f = new Float32Array(u)); + for (let S = 0, R = m; S !== v; ++S, R += 4) + o.copy(d[S]).applyMatrix4(b, a), o.normal.toArray(f, R), f[R + 3] = o.constant; + } + l.value = f, l.needsUpdate = !0; + } + return e.numPlanes = v, e.numIntersection = 0, f; + } +} +function id(i) { + let e = /* @__PURE__ */ new WeakMap(); + function t(o, a) { + return a === $r ? o.mapping = Qn : a === Jr && (o.mapping = ei), o; + } + function n(o) { + if (o && o.isTexture) { + const a = o.mapping; + if (a === $r || a === Jr) + if (e.has(o)) { + const l = e.get(o).texture; + return t(l, o.mapping); + } else { + const l = o.image; + if (l && l.height > 0) { + const c = new mc(l.height / 2); + return c.fromEquirectangularTexture(i, o), e.set(o, c), o.addEventListener("dispose", r), t(c.texture, o.mapping); + } else + return null; + } + } + return o; + } + function r(o) { + const a = o.target; + a.removeEventListener("dispose", r); + const l = e.get(a); + l !== void 0 && (e.delete(a), l.dispose()); + } + function s() { + e = /* @__PURE__ */ new WeakMap(); + } + return { + get: n, + dispose: s + }; +} +class Uo extends Lo { + constructor(e = -1, t = 1, n = 1, r = -1, s = 0.1, o = 2e3) { + super(), this.isOrthographicCamera = !0, this.type = "OrthographicCamera", this.zoom = 1, this.view = null, this.left = e, this.right = t, this.top = n, this.bottom = r, this.near = s, this.far = o, this.updateProjectionMatrix(); + } + copy(e, t) { + return super.copy(e, t), this.left = e.left, this.right = e.right, this.top = e.top, this.bottom = e.bottom, this.near = e.near, this.far = e.far, this.zoom = e.zoom, this.view = e.view === null ? null : Object.assign({}, e.view), this; + } + setViewOffset(e, t, n, r, s, o) { + this.view === null && (this.view = { + enabled: !0, + fullWidth: 1, + fullHeight: 1, + offsetX: 0, + offsetY: 0, + width: 1, + height: 1 + }), this.view.enabled = !0, this.view.fullWidth = e, this.view.fullHeight = t, this.view.offsetX = n, this.view.offsetY = r, this.view.width = s, this.view.height = o, this.updateProjectionMatrix(); + } + clearViewOffset() { + this.view !== null && (this.view.enabled = !1), this.updateProjectionMatrix(); + } + updateProjectionMatrix() { + const e = (this.right - this.left) / (2 * this.zoom), t = (this.top - this.bottom) / (2 * this.zoom), n = (this.right + this.left) / 2, r = (this.top + this.bottom) / 2; + let s = n - e, o = n + e, a = r + t, l = r - t; + if (this.view !== null && this.view.enabled) { + const c = (this.right - this.left) / this.view.fullWidth / this.zoom, h = (this.top - this.bottom) / this.view.fullHeight / this.zoom; + s += c * this.view.offsetX, o = s + c * this.view.width, a -= h * this.view.offsetY, l = a - h * this.view.height; + } + this.projectionMatrix.makeOrthographic(s, o, a, l, this.near, this.far, this.coordinateSystem), this.projectionMatrixInverse.copy(this.projectionMatrix).invert(); + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.zoom = this.zoom, t.object.left = this.left, t.object.right = this.right, t.object.top = this.top, t.object.bottom = this.bottom, t.object.near = this.near, t.object.far = this.far, this.view !== null && (t.object.view = Object.assign({}, this.view)), t; + } +} +const Kn = 4, xa = [0.125, 0.215, 0.35, 0.446, 0.526, 0.582], Sn = 20, Br = /* @__PURE__ */ new Uo(), Ma = /* @__PURE__ */ new Xe(); +let zr = null, Gr = 0, Hr = 0; +const xn = (1 + Math.sqrt(5)) / 2, Yn = 1 / xn, Sa = [ + /* @__PURE__ */ new P(1, 1, 1), + /* @__PURE__ */ new P(-1, 1, 1), + /* @__PURE__ */ new P(1, 1, -1), + /* @__PURE__ */ new P(-1, 1, -1), + /* @__PURE__ */ new P(0, xn, Yn), + /* @__PURE__ */ new P(0, xn, -Yn), + /* @__PURE__ */ new P(Yn, 0, xn), + /* @__PURE__ */ new P(-Yn, 0, xn), + /* @__PURE__ */ new P(xn, Yn, 0), + /* @__PURE__ */ new P(-xn, Yn, 0) +]; +class Ea { + constructor(e) { + this._renderer = e, this._pingPongRenderTarget = null, this._lodMax = 0, this._cubeSize = 0, this._lodPlanes = [], this._sizeLods = [], this._sigmas = [], this._blurMaterial = null, this._cubemapMaterial = null, this._equirectMaterial = null, this._compileMaterial(this._blurMaterial); + } + /** + * Generates a PMREM from a supplied Scene, which can be faster than using an + * image if networking bandwidth is low. Optional sigma specifies a blur radius + * in radians to be applied to the scene before PMREM generation. Optional near + * and far planes ensure the scene is rendered in its entirety (the cubeCamera + * is placed at the origin). + */ + fromScene(e, t = 0, n = 0.1, r = 100) { + zr = this._renderer.getRenderTarget(), Gr = this._renderer.getActiveCubeFace(), Hr = this._renderer.getActiveMipmapLevel(), this._setSize(256); + const s = this._allocateTargets(); + return s.depthBuffer = !0, this._sceneToCubeUV(e, n, r, s), t > 0 && this._blur(s, 0, 0, t), this._applyPMREM(s), this._cleanup(s), s; + } + /** + * Generates a PMREM from an equirectangular texture, which can be either LDR + * or HDR. The ideal input image size is 1k (1024 x 512), + * as this matches best with the 256 x 256 cubemap output. + */ + fromEquirectangular(e, t = null) { + return this._fromTexture(e, t); + } + /** + * Generates a PMREM from an cubemap texture, which can be either LDR + * or HDR. The ideal input cube size is 256 x 256, + * as this matches best with the 256 x 256 cubemap output. + */ + fromCubemap(e, t = null) { + return this._fromTexture(e, t); + } + /** + * Pre-compiles the cubemap shader. You can get faster start-up by invoking this method during + * your texture's network fetch for increased concurrency. + */ + compileCubemapShader() { + this._cubemapMaterial === null && (this._cubemapMaterial = ba(), this._compileMaterial(this._cubemapMaterial)); + } + /** + * Pre-compiles the equirectangular shader. You can get faster start-up by invoking this method during + * your texture's network fetch for increased concurrency. + */ + compileEquirectangularShader() { + this._equirectMaterial === null && (this._equirectMaterial = Ta(), this._compileMaterial(this._equirectMaterial)); + } + /** + * Disposes of the PMREMGenerator's internal memory. Note that PMREMGenerator is a static class, + * so you should not need more than one PMREMGenerator object. If you do, calling dispose() on + * one of them will cause any others to also become unusable. + */ + dispose() { + this._dispose(), this._cubemapMaterial !== null && this._cubemapMaterial.dispose(), this._equirectMaterial !== null && this._equirectMaterial.dispose(); + } + // private interface + _setSize(e) { + this._lodMax = Math.floor(Math.log2(e)), this._cubeSize = Math.pow(2, this._lodMax); + } + _dispose() { + this._blurMaterial !== null && this._blurMaterial.dispose(), this._pingPongRenderTarget !== null && this._pingPongRenderTarget.dispose(); + for (let e = 0; e < this._lodPlanes.length; e++) + this._lodPlanes[e].dispose(); + } + _cleanup(e) { + this._renderer.setRenderTarget(zr, Gr, Hr), e.scissorTest = !1, Xi(e, 0, 0, e.width, e.height); + } + _fromTexture(e, t) { + e.mapping === Qn || e.mapping === ei ? this._setSize(e.image.length === 0 ? 16 : e.image[0].width || e.image[0].image.width) : this._setSize(e.image.width / 4), zr = this._renderer.getRenderTarget(), Gr = this._renderer.getActiveCubeFace(), Hr = this._renderer.getActiveMipmapLevel(); + const n = t || this._allocateTargets(); + return this._textureToCubeUV(e, n), this._applyPMREM(n), this._cleanup(n), n; + } + _allocateTargets() { + const e = 3 * Math.max(this._cubeSize, 112), t = 4 * this._cubeSize, n = { + magFilter: Rt, + minFilter: Rt, + generateMipmaps: !1, + type: gi, + format: Ft, + colorSpace: $t, + depthBuffer: !1 + }, r = ya(e, t, n); + if (this._pingPongRenderTarget === null || this._pingPongRenderTarget.width !== e || this._pingPongRenderTarget.height !== t) { + this._pingPongRenderTarget !== null && this._dispose(), this._pingPongRenderTarget = ya(e, t, n); + const { _lodMax: s } = this; + ({ sizeLods: this._sizeLods, lodPlanes: this._lodPlanes, sigmas: this._sigmas } = rd(s)), this._blurMaterial = sd(s, e, t); + } + return r; + } + _compileMaterial(e) { + const t = new Ot(this._lodPlanes[0], e); + this._renderer.compile(t, Br); + } + _sceneToCubeUV(e, t, n, r) { + const a = new Tt(90, 1, t, n), l = [1, -1, 1, 1, 1, 1], c = [1, 1, 1, -1, -1, -1], h = this._renderer, d = h.autoClear, p = h.toneMapping; + h.getClearColor(Ma), h.toneMapping = ln, h.autoClear = !1; + const m = new ls({ + name: "PMREM.Background", + side: Mt, + depthWrite: !1, + depthTest: !1 + }), g = new Ot(new ii(), m); + let v = !1; + const f = e.background; + f ? f.isColor && (m.color.copy(f), e.background = null, v = !0) : (m.color.copy(Ma), v = !0); + for (let u = 0; u < 6; u++) { + const b = u % 3; + b === 0 ? (a.up.set(0, l[u], 0), a.lookAt(c[u], 0, 0)) : b === 1 ? (a.up.set(0, 0, l[u]), a.lookAt(0, c[u], 0)) : (a.up.set(0, l[u], 0), a.lookAt(0, 0, c[u])); + const S = this._cubeSize; + Xi(r, b * S, u > 2 ? S : 0, S, S), h.setRenderTarget(r), v && h.render(g, a), h.render(e, a); + } + g.geometry.dispose(), g.material.dispose(), h.toneMapping = p, h.autoClear = d, e.background = f; + } + _textureToCubeUV(e, t) { + const n = this._renderer, r = e.mapping === Qn || e.mapping === ei; + r ? (this._cubemapMaterial === null && (this._cubemapMaterial = ba()), this._cubemapMaterial.uniforms.flipEnvMap.value = e.isRenderTargetTexture === !1 ? -1 : 1) : this._equirectMaterial === null && (this._equirectMaterial = Ta()); + const s = r ? this._cubemapMaterial : this._equirectMaterial, o = new Ot(this._lodPlanes[0], s), a = s.uniforms; + a.envMap.value = e; + const l = this._cubeSize; + Xi(t, 0, 0, 3 * l, 2 * l), n.setRenderTarget(t), n.render(o, Br); + } + _applyPMREM(e) { + const t = this._renderer, n = t.autoClear; + t.autoClear = !1; + for (let r = 1; r < this._lodPlanes.length; r++) { + const s = Math.sqrt(this._sigmas[r] * this._sigmas[r] - this._sigmas[r - 1] * this._sigmas[r - 1]), o = Sa[(r - 1) % Sa.length]; + this._blur(e, r - 1, r, s, o); + } + t.autoClear = n; + } + /** + * This is a two-pass Gaussian blur for a cubemap. Normally this is done + * vertically and horizontally, but this breaks down on a cube. Here we apply + * the blur latitudinally (around the poles), and then longitudinally (towards + * the poles) to approximate the orthogonally-separable blur. It is least + * accurate at the poles, but still does a decent job. + */ + _blur(e, t, n, r, s) { + const o = this._pingPongRenderTarget; + this._halfBlur( + e, + o, + t, + n, + r, + "latitudinal", + s + ), this._halfBlur( + o, + e, + n, + n, + r, + "longitudinal", + s + ); + } + _halfBlur(e, t, n, r, s, o, a) { + const l = this._renderer, c = this._blurMaterial; + o !== "latitudinal" && o !== "longitudinal" && console.error( + "blur direction must be either latitudinal or longitudinal!" + ); + const h = 3, d = new Ot(this._lodPlanes[r], c), p = c.uniforms, m = this._sizeLods[n] - 1, g = isFinite(s) ? Math.PI / (2 * m) : 2 * Math.PI / (2 * Sn - 1), v = s / g, f = isFinite(s) ? 1 + Math.floor(h * v) : Sn; + f > Sn && console.warn(`sigmaRadians, ${s}, is too large and will clip, as it requested ${f} samples when the maximum is set to ${Sn}`); + const u = []; + let b = 0; + for (let A = 0; A < Sn; ++A) { + const W = A / v, x = Math.exp(-W * W / 2); + u.push(x), A === 0 ? b += x : A < f && (b += 2 * x); + } + for (let A = 0; A < u.length; A++) + u[A] = u[A] / b; + p.envMap.value = e.texture, p.samples.value = f, p.weights.value = u, p.latitudinal.value = o === "latitudinal", a && (p.poleAxis.value = a); + const { _lodMax: S } = this; + p.dTheta.value = g, p.mipInt.value = S - n; + const R = this._sizeLods[r], D = 3 * R * (r > S - Kn ? r - S + Kn : 0), C = 4 * (this._cubeSize - R); + Xi(t, D, C, 3 * R, 2 * R), l.setRenderTarget(t), l.render(d, Br); + } +} +function rd(i) { + const e = [], t = [], n = []; + let r = i; + const s = i - Kn + 1 + xa.length; + for (let o = 0; o < s; o++) { + const a = Math.pow(2, r); + t.push(a); + let l = 1 / a; + o > i - Kn ? l = xa[o - i + Kn - 1] : o === 0 && (l = 0), n.push(l); + const c = 1 / (a - 2), h = -c, d = 1 + c, p = [h, h, d, h, d, d, h, h, d, d, h, d], m = 6, g = 6, v = 3, f = 2, u = 1, b = new Float32Array(v * g * m), S = new Float32Array(f * g * m), R = new Float32Array(u * g * m); + for (let C = 0; C < m; C++) { + const A = C % 3 * 2 / 3 - 1, W = C > 2 ? 0 : -1, x = [ + A, + W, + 0, + A + 2 / 3, + W, + 0, + A + 2 / 3, + W + 1, + 0, + A, + W, + 0, + A + 2 / 3, + W + 1, + 0, + A, + W + 1, + 0 + ]; + b.set(x, v * g * C), S.set(p, f * g * C); + const y = [C, C, C, C, C, C]; + R.set(y, u * g * C); + } + const D = new hn(); + D.setAttribute("position", new Bt(b, v)), D.setAttribute("uv", new Bt(S, f)), D.setAttribute("faceIndex", new Bt(R, u)), e.push(D), r > Kn && r--; + } + return { lodPlanes: e, sizeLods: t, sigmas: n }; +} +function ya(i, e, t) { + const n = new bn(i, e, t); + return n.texture.mapping = rr, n.texture.name = "PMREM.cubeUv", n.scissorTest = !0, n; +} +function Xi(i, e, t, n, r) { + i.viewport.set(e, t, n, r), i.scissor.set(e, t, n, r); +} +function sd(i, e, t) { + const n = new Float32Array(Sn), r = new P(0, 1, 0); + return new wn({ + name: "SphericalGaussianBlur", + defines: { + n: Sn, + CUBEUV_TEXEL_WIDTH: 1 / e, + CUBEUV_TEXEL_HEIGHT: 1 / t, + CUBEUV_MAX_MIP: `${i}.0` + }, + uniforms: { + envMap: { value: null }, + samples: { value: 1 }, + weights: { value: n }, + latitudinal: { value: !1 }, + dTheta: { value: 0 }, + mipInt: { value: 0 }, + poleAxis: { value: r } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform int samples; + uniform float weights[ n ]; + uniform bool latitudinal; + uniform float dTheta; + uniform float mipInt; + uniform vec3 poleAxis; + + #define ENVMAP_TYPE_CUBE_UV + #include + + vec3 getSample( float theta, vec3 axis ) { + + float cosTheta = cos( theta ); + // Rodrigues' axis-angle rotation + vec3 sampleDirection = vOutputDirection * cosTheta + + cross( axis, vOutputDirection ) * sin( theta ) + + axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta ); + + return bilinearCubeUV( envMap, sampleDirection, mipInt ); + + } + + void main() { + + vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection ); + + if ( all( equal( axis, vec3( 0.0 ) ) ) ) { + + axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x ); + + } + + axis = normalize( axis ); + + gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis ); + + for ( int i = 1; i < n; i++ ) { + + if ( i >= samples ) { + + break; + + } + + float theta = dTheta * float( i ); + gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis ); + gl_FragColor.rgb += weights[ i ] * getSample( theta, axis ); + + } + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function Ta() { + return new wn({ + name: "EquirectangularToCubeUV", + uniforms: { + envMap: { value: null } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + + #include + + void main() { + + vec3 outputDirection = normalize( vOutputDirection ); + vec2 uv = equirectUv( outputDirection ); + + gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 ); + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function ba() { + return new wn({ + name: "CubemapToCubeUV", + uniforms: { + envMap: { value: null }, + flipEnvMap: { value: -1 } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + uniform float flipEnvMap; + + varying vec3 vOutputDirection; + + uniform samplerCube envMap; + + void main() { + + gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) ); + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function hs() { + return ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + attribute float faceIndex; + + varying vec3 vOutputDirection; + + // RH coordinate system; PMREM face-indexing convention + vec3 getDirection( vec2 uv, float face ) { + + uv = 2.0 * uv - 1.0; + + vec3 direction = vec3( uv, 1.0 ); + + if ( face == 0.0 ) { + + direction = direction.zyx; // ( 1, v, u ) pos x + + } else if ( face == 1.0 ) { + + direction = direction.xzy; + direction.xz *= -1.0; // ( -u, 1, -v ) pos y + + } else if ( face == 2.0 ) { + + direction.x *= -1.0; // ( -u, v, 1 ) pos z + + } else if ( face == 3.0 ) { + + direction = direction.zyx; + direction.xz *= -1.0; // ( -1, v, -u ) neg x + + } else if ( face == 4.0 ) { + + direction = direction.xzy; + direction.xy *= -1.0; // ( -u, -1, v ) neg y + + } else if ( face == 5.0 ) { + + direction.z *= -1.0; // ( u, v, -1 ) neg z + + } + + return direction; + + } + + void main() { + + vOutputDirection = getDirection( uv, faceIndex ); + gl_Position = vec4( position, 1.0 ); + + } + ` + ); +} +function ad(i) { + let e = /* @__PURE__ */ new WeakMap(), t = null; + function n(a) { + if (a && a.isTexture) { + const l = a.mapping, c = l === $r || l === Jr, h = l === Qn || l === ei; + if (c || h) + if (a.isRenderTargetTexture && a.needsPMREMUpdate === !0) { + a.needsPMREMUpdate = !1; + let d = e.get(a); + return t === null && (t = new Ea(i)), d = c ? t.fromEquirectangular(a, d) : t.fromCubemap(a, d), e.set(a, d), d.texture; + } else { + if (e.has(a)) + return e.get(a).texture; + { + const d = a.image; + if (c && d && d.height > 0 || h && d && r(d)) { + t === null && (t = new Ea(i)); + const p = c ? t.fromEquirectangular(a) : t.fromCubemap(a); + return e.set(a, p), a.addEventListener("dispose", s), p.texture; + } else + return null; + } + } + } + return a; + } + function r(a) { + let l = 0; + const c = 6; + for (let h = 0; h < c; h++) + a[h] !== void 0 && l++; + return l === c; + } + function s(a) { + const l = a.target; + l.removeEventListener("dispose", s); + const c = e.get(l); + c !== void 0 && (e.delete(l), c.dispose()); + } + function o() { + e = /* @__PURE__ */ new WeakMap(), t !== null && (t.dispose(), t = null); + } + return { + get: n, + dispose: o + }; +} +function od(i) { + const e = {}; + function t(n) { + if (e[n] !== void 0) + return e[n]; + let r; + switch (n) { + case "WEBGL_depth_texture": + r = i.getExtension("WEBGL_depth_texture") || i.getExtension("MOZ_WEBGL_depth_texture") || i.getExtension("WEBKIT_WEBGL_depth_texture"); + break; + case "EXT_texture_filter_anisotropic": + r = i.getExtension("EXT_texture_filter_anisotropic") || i.getExtension("MOZ_EXT_texture_filter_anisotropic") || i.getExtension("WEBKIT_EXT_texture_filter_anisotropic"); + break; + case "WEBGL_compressed_texture_s3tc": + r = i.getExtension("WEBGL_compressed_texture_s3tc") || i.getExtension("MOZ_WEBGL_compressed_texture_s3tc") || i.getExtension("WEBKIT_WEBGL_compressed_texture_s3tc"); + break; + case "WEBGL_compressed_texture_pvrtc": + r = i.getExtension("WEBGL_compressed_texture_pvrtc") || i.getExtension("WEBKIT_WEBGL_compressed_texture_pvrtc"); + break; + default: + r = i.getExtension(n); + } + return e[n] = r, r; + } + return { + has: function(n) { + return t(n) !== null; + }, + init: function(n) { + n.isWebGL2 ? (t("EXT_color_buffer_float"), t("WEBGL_clip_cull_distance")) : (t("WEBGL_depth_texture"), t("OES_texture_float"), t("OES_texture_half_float"), t("OES_texture_half_float_linear"), t("OES_standard_derivatives"), t("OES_element_index_uint"), t("OES_vertex_array_object"), t("ANGLE_instanced_arrays")), t("OES_texture_float_linear"), t("EXT_color_buffer_half_float"), t("WEBGL_multisampled_render_to_texture"); + }, + get: function(n) { + const r = t(n); + return r === null && console.warn("THREE.WebGLRenderer: " + n + " extension not supported."), r; + } + }; +} +function ld(i, e, t, n) { + const r = {}, s = /* @__PURE__ */ new WeakMap(); + function o(d) { + const p = d.target; + p.index !== null && e.remove(p.index); + for (const g in p.attributes) + e.remove(p.attributes[g]); + for (const g in p.morphAttributes) { + const v = p.morphAttributes[g]; + for (let f = 0, u = v.length; f < u; f++) + e.remove(v[f]); + } + p.removeEventListener("dispose", o), delete r[p.id]; + const m = s.get(p); + m && (e.remove(m), s.delete(p)), n.releaseStatesOfGeometry(p), p.isInstancedBufferGeometry === !0 && delete p._maxInstanceCount, t.memory.geometries--; + } + function a(d, p) { + return r[p.id] === !0 || (p.addEventListener("dispose", o), r[p.id] = !0, t.memory.geometries++), p; + } + function l(d) { + const p = d.attributes; + for (const g in p) + e.update(p[g], i.ARRAY_BUFFER); + const m = d.morphAttributes; + for (const g in m) { + const v = m[g]; + for (let f = 0, u = v.length; f < u; f++) + e.update(v[f], i.ARRAY_BUFFER); + } + } + function c(d) { + const p = [], m = d.index, g = d.attributes.position; + let v = 0; + if (m !== null) { + const b = m.array; + v = m.version; + for (let S = 0, R = b.length; S < R; S += 3) { + const D = b[S + 0], C = b[S + 1], A = b[S + 2]; + p.push(D, C, C, A, A, D); + } + } else if (g !== void 0) { + const b = g.array; + v = g.version; + for (let S = 0, R = b.length / 3 - 1; S < R; S += 3) { + const D = S + 0, C = S + 1, A = S + 2; + p.push(D, C, C, A, A, D); + } + } else + return; + const f = new (Mo(p) ? Ro : wo)(p, 1); + f.version = v; + const u = s.get(d); + u && e.remove(u), s.set(d, f); + } + function h(d) { + const p = s.get(d); + if (p) { + const m = d.index; + m !== null && p.version < m.version && c(d); + } else + c(d); + return s.get(d); + } + return { + get: a, + update: l, + getWireframeAttribute: h + }; +} +function cd(i, e, t, n) { + const r = n.isWebGL2; + let s; + function o(m) { + s = m; + } + let a, l; + function c(m) { + a = m.type, l = m.bytesPerElement; + } + function h(m, g) { + i.drawElements(s, g, a, m * l), t.update(g, s, 1); + } + function d(m, g, v) { + if (v === 0) return; + let f, u; + if (r) + f = i, u = "drawElementsInstanced"; + else if (f = e.get("ANGLE_instanced_arrays"), u = "drawElementsInstancedANGLE", f === null) { + console.error("THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); + return; + } + f[u](s, g, a, m * l, v), t.update(g, s, v); + } + function p(m, g, v) { + if (v === 0) return; + const f = e.get("WEBGL_multi_draw"); + if (f === null) + for (let u = 0; u < v; u++) + this.render(m[u] / l, g[u]); + else { + f.multiDrawElementsWEBGL(s, g, 0, a, m, 0, v); + let u = 0; + for (let b = 0; b < v; b++) + u += g[b]; + t.update(u, s, 1); + } + } + this.setMode = o, this.setIndex = c, this.render = h, this.renderInstances = d, this.renderMultiDraw = p; +} +function ud(i) { + const e = { + geometries: 0, + textures: 0 + }, t = { + frame: 0, + calls: 0, + triangles: 0, + points: 0, + lines: 0 + }; + function n(s, o, a) { + switch (t.calls++, o) { + case i.TRIANGLES: + t.triangles += a * (s / 3); + break; + case i.LINES: + t.lines += a * (s / 2); + break; + case i.LINE_STRIP: + t.lines += a * (s - 1); + break; + case i.LINE_LOOP: + t.lines += a * s; + break; + case i.POINTS: + t.points += a * s; + break; + default: + console.error("THREE.WebGLInfo: Unknown draw mode:", o); + break; + } + } + function r() { + t.calls = 0, t.triangles = 0, t.points = 0, t.lines = 0; + } + return { + memory: e, + render: t, + programs: null, + autoReset: !0, + reset: r, + update: n + }; +} +function hd(i, e) { + return i[0] - e[0]; +} +function dd(i, e) { + return Math.abs(e[1]) - Math.abs(i[1]); +} +function fd(i, e, t) { + const n = {}, r = new Float32Array(8), s = /* @__PURE__ */ new WeakMap(), o = new $e(), a = []; + for (let c = 0; c < 8; c++) + a[c] = [c, 0]; + function l(c, h, d) { + const p = c.morphTargetInfluences; + if (e.isWebGL2 === !0) { + const m = h.morphAttributes.position || h.morphAttributes.normal || h.morphAttributes.color, g = m !== void 0 ? m.length : 0; + let v = s.get(h); + if (v === void 0 || v.count !== g) { + let L = function() { + Z.dispose(), s.delete(h), h.removeEventListener("dispose", L); + }; + v !== void 0 && v.texture.dispose(); + const b = h.morphAttributes.position !== void 0, S = h.morphAttributes.normal !== void 0, R = h.morphAttributes.color !== void 0, D = h.morphAttributes.position || [], C = h.morphAttributes.normal || [], A = h.morphAttributes.color || []; + let W = 0; + b === !0 && (W = 1), S === !0 && (W = 2), R === !0 && (W = 3); + let x = h.attributes.position.count * W, y = 1; + x > e.maxTextureSize && (y = Math.ceil(x / e.maxTextureSize), x = e.maxTextureSize); + const z = new Float32Array(x * y * 4 * g), Z = new yo(z, x, y, g); + Z.type = an, Z.needsUpdate = !0; + const re = W * 4; + for (let F = 0; F < g; F++) { + const V = D[F], Y = C[F], X = A[F], k = x * y * 4 * F; + for (let q = 0; q < V.count; q++) { + const Q = q * re; + b === !0 && (o.fromBufferAttribute(V, q), z[k + Q + 0] = o.x, z[k + Q + 1] = o.y, z[k + Q + 2] = o.z, z[k + Q + 3] = 0), S === !0 && (o.fromBufferAttribute(Y, q), z[k + Q + 4] = o.x, z[k + Q + 5] = o.y, z[k + Q + 6] = o.z, z[k + Q + 7] = 0), R === !0 && (o.fromBufferAttribute(X, q), z[k + Q + 8] = o.x, z[k + Q + 9] = o.y, z[k + Q + 10] = o.z, z[k + Q + 11] = X.itemSize === 4 ? o.w : 1); + } + } + v = { + count: g, + texture: Z, + size: new Ie(x, y) + }, s.set(h, v), h.addEventListener("dispose", L); + } + let f = 0; + for (let b = 0; b < p.length; b++) + f += p[b]; + const u = h.morphTargetsRelative ? 1 : 1 - f; + d.getUniforms().setValue(i, "morphTargetBaseInfluence", u), d.getUniforms().setValue(i, "morphTargetInfluences", p), d.getUniforms().setValue(i, "morphTargetsTexture", v.texture, t), d.getUniforms().setValue(i, "morphTargetsTextureSize", v.size); + } else { + const m = p === void 0 ? 0 : p.length; + let g = n[h.id]; + if (g === void 0 || g.length !== m) { + g = []; + for (let S = 0; S < m; S++) + g[S] = [S, 0]; + n[h.id] = g; + } + for (let S = 0; S < m; S++) { + const R = g[S]; + R[0] = S, R[1] = p[S]; + } + g.sort(dd); + for (let S = 0; S < 8; S++) + S < m && g[S][1] ? (a[S][0] = g[S][0], a[S][1] = g[S][1]) : (a[S][0] = Number.MAX_SAFE_INTEGER, a[S][1] = 0); + a.sort(hd); + const v = h.morphAttributes.position, f = h.morphAttributes.normal; + let u = 0; + for (let S = 0; S < 8; S++) { + const R = a[S], D = R[0], C = R[1]; + D !== Number.MAX_SAFE_INTEGER && C ? (v && h.getAttribute("morphTarget" + S) !== v[D] && h.setAttribute("morphTarget" + S, v[D]), f && h.getAttribute("morphNormal" + S) !== f[D] && h.setAttribute("morphNormal" + S, f[D]), r[S] = C, u += C) : (v && h.hasAttribute("morphTarget" + S) === !0 && h.deleteAttribute("morphTarget" + S), f && h.hasAttribute("morphNormal" + S) === !0 && h.deleteAttribute("morphNormal" + S), r[S] = 0); + } + const b = h.morphTargetsRelative ? 1 : 1 - u; + d.getUniforms().setValue(i, "morphTargetBaseInfluence", b), d.getUniforms().setValue(i, "morphTargetInfluences", r); + } + } + return { + update: l + }; +} +function pd(i, e, t, n) { + let r = /* @__PURE__ */ new WeakMap(); + function s(l) { + const c = n.render.frame, h = l.geometry, d = e.get(l, h); + if (r.get(d) !== c && (e.update(d), r.set(d, c)), l.isInstancedMesh && (l.hasEventListener("dispose", a) === !1 && l.addEventListener("dispose", a), r.get(l) !== c && (t.update(l.instanceMatrix, i.ARRAY_BUFFER), l.instanceColor !== null && t.update(l.instanceColor, i.ARRAY_BUFFER), r.set(l, c))), l.isSkinnedMesh) { + const p = l.skeleton; + r.get(p) !== c && (p.update(), r.set(p, c)); + } + return d; + } + function o() { + r = /* @__PURE__ */ new WeakMap(); + } + function a(l) { + const c = l.target; + c.removeEventListener("dispose", a), t.remove(c.instanceMatrix), c.instanceColor !== null && t.remove(c.instanceColor); + } + return { + update: s, + dispose: o + }; +} +class Io extends bt { + constructor(e, t, n, r, s, o, a, l, c, h) { + if (h = h !== void 0 ? h : yn, h !== yn && h !== ti) + throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat"); + n === void 0 && h === yn && (n = sn), n === void 0 && h === ti && (n = En), super(null, r, s, o, a, l, h, n, c), this.isDepthTexture = !0, this.image = { width: e, height: t }, this.magFilter = a !== void 0 ? a : gt, this.minFilter = l !== void 0 ? l : gt, this.flipY = !1, this.generateMipmaps = !1, this.compareFunction = null; + } + copy(e) { + return super.copy(e), this.compareFunction = e.compareFunction, this; + } + toJSON(e) { + const t = super.toJSON(e); + return this.compareFunction !== null && (t.compareFunction = this.compareFunction), t; + } +} +const No = /* @__PURE__ */ new bt(), Fo = /* @__PURE__ */ new Io(1, 1); +Fo.compareFunction = xo; +const Oo = /* @__PURE__ */ new yo(), Bo = /* @__PURE__ */ new Jl(), zo = /* @__PURE__ */ new Po(), Aa = [], wa = [], Ra = new Float32Array(16), Ca = new Float32Array(9), La = new Float32Array(4); +function ri(i, e, t) { + const n = i[0]; + if (n <= 0 || n > 0) return i; + const r = e * t; + let s = Aa[r]; + if (s === void 0 && (s = new Float32Array(r), Aa[r] = s), e !== 0) { + n.toArray(s, 0); + for (let o = 1, a = 0; o !== e; ++o) + a += t, i[o].toArray(s, a); + } + return s; +} +function ot(i, e) { + if (i.length !== e.length) return !1; + for (let t = 0, n = i.length; t < n; t++) + if (i[t] !== e[t]) return !1; + return !0; +} +function lt(i, e) { + for (let t = 0, n = e.length; t < n; t++) + i[t] = e[t]; +} +function or(i, e) { + let t = wa[e]; + t === void 0 && (t = new Int32Array(e), wa[e] = t); + for (let n = 0; n !== e; ++n) + t[n] = i.allocateTextureUnit(); + return t; +} +function md(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1f(this.addr, e), t[0] = e); +} +function _d(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2f(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2fv(this.addr, e), lt(t, e); + } +} +function gd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3f(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else if (e.r !== void 0) + (t[0] !== e.r || t[1] !== e.g || t[2] !== e.b) && (i.uniform3f(this.addr, e.r, e.g, e.b), t[0] = e.r, t[1] = e.g, t[2] = e.b); + else { + if (ot(t, e)) return; + i.uniform3fv(this.addr, e), lt(t, e); + } +} +function vd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4f(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4fv(this.addr, e), lt(t, e); + } +} +function xd(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix2fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + La.set(n), i.uniformMatrix2fv(this.addr, !1, La), lt(t, n); + } +} +function Md(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix3fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + Ca.set(n), i.uniformMatrix3fv(this.addr, !1, Ca), lt(t, n); + } +} +function Sd(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix4fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + Ra.set(n), i.uniformMatrix4fv(this.addr, !1, Ra), lt(t, n); + } +} +function Ed(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1i(this.addr, e), t[0] = e); +} +function yd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2i(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2iv(this.addr, e), lt(t, e); + } +} +function Td(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3i(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else { + if (ot(t, e)) return; + i.uniform3iv(this.addr, e), lt(t, e); + } +} +function bd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4i(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4iv(this.addr, e), lt(t, e); + } +} +function Ad(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1ui(this.addr, e), t[0] = e); +} +function wd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2ui(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2uiv(this.addr, e), lt(t, e); + } +} +function Rd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3ui(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else { + if (ot(t, e)) return; + i.uniform3uiv(this.addr, e), lt(t, e); + } +} +function Cd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4ui(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4uiv(this.addr, e), lt(t, e); + } +} +function Ld(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r); + const s = this.type === i.SAMPLER_2D_SHADOW ? Fo : No; + t.setTexture2D(e || s, r); +} +function Pd(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTexture3D(e || Bo, r); +} +function Dd(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTextureCube(e || zo, r); +} +function Ud(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTexture2DArray(e || Oo, r); +} +function Id(i) { + switch (i) { + case 5126: + return md; + case 35664: + return _d; + case 35665: + return gd; + case 35666: + return vd; + case 35674: + return xd; + case 35675: + return Md; + case 35676: + return Sd; + case 5124: + case 35670: + return Ed; + case 35667: + case 35671: + return yd; + case 35668: + case 35672: + return Td; + case 35669: + case 35673: + return bd; + case 5125: + return Ad; + case 36294: + return wd; + case 36295: + return Rd; + case 36296: + return Cd; + case 35678: + case 36198: + case 36298: + case 36306: + case 35682: + return Ld; + case 35679: + case 36299: + case 36307: + return Pd; + case 35680: + case 36300: + case 36308: + case 36293: + return Dd; + case 36289: + case 36303: + case 36311: + case 36292: + return Ud; + } +} +function Nd(i, e) { + i.uniform1fv(this.addr, e); +} +function Fd(i, e) { + const t = ri(e, this.size, 2); + i.uniform2fv(this.addr, t); +} +function Od(i, e) { + const t = ri(e, this.size, 3); + i.uniform3fv(this.addr, t); +} +function Bd(i, e) { + const t = ri(e, this.size, 4); + i.uniform4fv(this.addr, t); +} +function zd(i, e) { + const t = ri(e, this.size, 4); + i.uniformMatrix2fv(this.addr, !1, t); +} +function Gd(i, e) { + const t = ri(e, this.size, 9); + i.uniformMatrix3fv(this.addr, !1, t); +} +function Hd(i, e) { + const t = ri(e, this.size, 16); + i.uniformMatrix4fv(this.addr, !1, t); +} +function Vd(i, e) { + i.uniform1iv(this.addr, e); +} +function kd(i, e) { + i.uniform2iv(this.addr, e); +} +function Wd(i, e) { + i.uniform3iv(this.addr, e); +} +function Xd(i, e) { + i.uniform4iv(this.addr, e); +} +function qd(i, e) { + i.uniform1uiv(this.addr, e); +} +function Yd(i, e) { + i.uniform2uiv(this.addr, e); +} +function jd(i, e) { + i.uniform3uiv(this.addr, e); +} +function Kd(i, e) { + i.uniform4uiv(this.addr, e); +} +function Zd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture2D(e[o] || No, s[o]); +} +function $d(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture3D(e[o] || Bo, s[o]); +} +function Jd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTextureCube(e[o] || zo, s[o]); +} +function Qd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture2DArray(e[o] || Oo, s[o]); +} +function ef(i) { + switch (i) { + case 5126: + return Nd; + case 35664: + return Fd; + case 35665: + return Od; + case 35666: + return Bd; + case 35674: + return zd; + case 35675: + return Gd; + case 35676: + return Hd; + case 5124: + case 35670: + return Vd; + case 35667: + case 35671: + return kd; + case 35668: + case 35672: + return Wd; + case 35669: + case 35673: + return Xd; + case 5125: + return qd; + case 36294: + return Yd; + case 36295: + return jd; + case 36296: + return Kd; + case 35678: + case 36198: + case 36298: + case 36306: + case 35682: + return Zd; + case 35679: + case 36299: + case 36307: + return $d; + case 35680: + case 36300: + case 36308: + case 36293: + return Jd; + case 36289: + case 36303: + case 36311: + case 36292: + return Qd; + } +} +class tf { + constructor(e, t, n) { + this.id = e, this.addr = n, this.cache = [], this.type = t.type, this.setValue = Id(t.type); + } +} +class nf { + constructor(e, t, n) { + this.id = e, this.addr = n, this.cache = [], this.type = t.type, this.size = t.size, this.setValue = ef(t.type); + } +} +class rf { + constructor(e) { + this.id = e, this.seq = [], this.map = {}; + } + setValue(e, t, n) { + const r = this.seq; + for (let s = 0, o = r.length; s !== o; ++s) { + const a = r[s]; + a.setValue(e, t[a.id], n); + } + } +} +const Vr = /(\w+)(\])?(\[|\.)?/g; +function Pa(i, e) { + i.seq.push(e), i.map[e.id] = e; +} +function sf(i, e, t) { + const n = i.name, r = n.length; + for (Vr.lastIndex = 0; ; ) { + const s = Vr.exec(n), o = Vr.lastIndex; + let a = s[1]; + const l = s[2] === "]", c = s[3]; + if (l && (a = a | 0), c === void 0 || c === "[" && o + 2 === r) { + Pa(t, c === void 0 ? new tf(a, i, e) : new nf(a, i, e)); + break; + } else { + let d = t.map[a]; + d === void 0 && (d = new rf(a), Pa(t, d)), t = d; + } + } +} +class Zi { + constructor(e, t) { + this.seq = [], this.map = {}; + const n = e.getProgramParameter(t, e.ACTIVE_UNIFORMS); + for (let r = 0; r < n; ++r) { + const s = e.getActiveUniform(t, r), o = e.getUniformLocation(t, s.name); + sf(s, o, this); + } + } + setValue(e, t, n, r) { + const s = this.map[t]; + s !== void 0 && s.setValue(e, n, r); + } + setOptional(e, t, n) { + const r = t[n]; + r !== void 0 && this.setValue(e, n, r); + } + static upload(e, t, n, r) { + for (let s = 0, o = t.length; s !== o; ++s) { + const a = t[s], l = n[a.id]; + l.needsUpdate !== !1 && a.setValue(e, l.value, r); + } + } + static seqWithValue(e, t) { + const n = []; + for (let r = 0, s = e.length; r !== s; ++r) { + const o = e[r]; + o.id in t && n.push(o); + } + return n; + } +} +function Da(i, e, t) { + const n = i.createShader(e); + return i.shaderSource(n, t), i.compileShader(n), n; +} +const af = 37297; +let of = 0; +function lf(i, e) { + const t = i.split(` +`), n = [], r = Math.max(e - 6, 0), s = Math.min(e + 6, t.length); + for (let o = r; o < s; o++) { + const a = o + 1; + n.push(`${a === e ? ">" : " "} ${a}: ${t[o]}`); + } + return n.join(` +`); +} +function cf(i) { + const e = Ke.getPrimaries(Ke.workingColorSpace), t = Ke.getPrimaries(i); + let n; + switch (e === t ? n = "" : e === er && t === Qi ? n = "LinearDisplayP3ToLinearSRGB" : e === Qi && t === er && (n = "LinearSRGBToLinearDisplayP3"), i) { + case $t: + case sr: + return [n, "LinearTransferOETF"]; + case ht: + case os: + return [n, "sRGBTransferOETF"]; + default: + return console.warn("THREE.WebGLProgram: Unsupported color space:", i), [n, "LinearTransferOETF"]; + } +} +function Ua(i, e, t) { + const n = i.getShaderParameter(e, i.COMPILE_STATUS), r = i.getShaderInfoLog(e).trim(); + if (n && r === "") return ""; + const s = /ERROR: 0:(\d+)/.exec(r); + if (s) { + const o = parseInt(s[1]); + return t.toUpperCase() + ` + +` + r + ` + +` + lf(i.getShaderSource(e), o); + } else + return r; +} +function uf(i, e) { + const t = cf(e); + return `vec4 ${i}( vec4 value ) { return ${t[0]}( ${t[1]}( value ) ); }`; +} +function hf(i, e) { + let t; + switch (e) { + case Ml: + t = "Linear"; + break; + case Sl: + t = "Reinhard"; + break; + case El: + t = "OptimizedCineon"; + break; + case yl: + t = "ACESFilmic"; + break; + case bl: + t = "AgX"; + break; + case Tl: + t = "Custom"; + break; + default: + console.warn("THREE.WebGLProgram: Unsupported toneMapping:", e), t = "Linear"; + } + return "vec3 " + i + "( vec3 color ) { return " + t + "ToneMapping( color ); }"; +} +function df(i) { + return [ + i.extensionDerivatives || i.envMapCubeUVHeight || i.bumpMap || i.normalMapTangentSpace || i.clearcoatNormalMap || i.flatShading || i.shaderID === "physical" ? "#extension GL_OES_standard_derivatives : enable" : "", + (i.extensionFragDepth || i.logarithmicDepthBuffer) && i.rendererExtensionFragDepth ? "#extension GL_EXT_frag_depth : enable" : "", + i.extensionDrawBuffers && i.rendererExtensionDrawBuffers ? "#extension GL_EXT_draw_buffers : require" : "", + (i.extensionShaderTextureLOD || i.envMap || i.transmission) && i.rendererExtensionShaderTextureLod ? "#extension GL_EXT_shader_texture_lod : enable" : "" + ].filter(Zn).join(` +`); +} +function ff(i) { + return [ + i.extensionClipCullDistance ? "#extension GL_ANGLE_clip_cull_distance : require" : "" + ].filter(Zn).join(` +`); +} +function pf(i) { + const e = []; + for (const t in i) { + const n = i[t]; + n !== !1 && e.push("#define " + t + " " + n); + } + return e.join(` +`); +} +function mf(i, e) { + const t = {}, n = i.getProgramParameter(e, i.ACTIVE_ATTRIBUTES); + for (let r = 0; r < n; r++) { + const s = i.getActiveAttrib(e, r), o = s.name; + let a = 1; + s.type === i.FLOAT_MAT2 && (a = 2), s.type === i.FLOAT_MAT3 && (a = 3), s.type === i.FLOAT_MAT4 && (a = 4), t[o] = { + type: s.type, + location: i.getAttribLocation(e, o), + locationSize: a + }; + } + return t; +} +function Zn(i) { + return i !== ""; +} +function Ia(i, e) { + const t = e.numSpotLightShadows + e.numSpotLightMaps - e.numSpotLightShadowsWithMaps; + return i.replace(/NUM_DIR_LIGHTS/g, e.numDirLights).replace(/NUM_SPOT_LIGHTS/g, e.numSpotLights).replace(/NUM_SPOT_LIGHT_MAPS/g, e.numSpotLightMaps).replace(/NUM_SPOT_LIGHT_COORDS/g, t).replace(/NUM_RECT_AREA_LIGHTS/g, e.numRectAreaLights).replace(/NUM_POINT_LIGHTS/g, e.numPointLights).replace(/NUM_HEMI_LIGHTS/g, e.numHemiLights).replace(/NUM_DIR_LIGHT_SHADOWS/g, e.numDirLightShadows).replace(/NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g, e.numSpotLightShadowsWithMaps).replace(/NUM_SPOT_LIGHT_SHADOWS/g, e.numSpotLightShadows).replace(/NUM_POINT_LIGHT_SHADOWS/g, e.numPointLightShadows); +} +function Na(i, e) { + return i.replace(/NUM_CLIPPING_PLANES/g, e.numClippingPlanes).replace(/UNION_CLIPPING_PLANES/g, e.numClippingPlanes - e.numClipIntersection); +} +const _f = /^[ \t]*#include +<([\w\d./]+)>/gm; +function rs(i) { + return i.replace(_f, vf); +} +const gf = /* @__PURE__ */ new Map([ + ["encodings_fragment", "colorspace_fragment"], + // @deprecated, r154 + ["encodings_pars_fragment", "colorspace_pars_fragment"], + // @deprecated, r154 + ["output_fragment", "opaque_fragment"] + // @deprecated, r154 +]); +function vf(i, e) { + let t = Be[e]; + if (t === void 0) { + const n = gf.get(e); + if (n !== void 0) + t = Be[n], console.warn('THREE.WebGLRenderer: Shader chunk "%s" has been deprecated. Use "%s" instead.', e, n); + else + throw new Error("Can not resolve #include <" + e + ">"); + } + return rs(t); +} +const xf = /#pragma unroll_loop_start\s+for\s*\(\s*int\s+i\s*=\s*(\d+)\s*;\s*i\s*<\s*(\d+)\s*;\s*i\s*\+\+\s*\)\s*{([\s\S]+?)}\s+#pragma unroll_loop_end/g; +function Fa(i) { + return i.replace(xf, Mf); +} +function Mf(i, e, t, n) { + let r = ""; + for (let s = parseInt(e); s < parseInt(t); s++) + r += n.replace(/\[\s*i\s*\]/g, "[ " + s + " ]").replace(/UNROLLED_LOOP_INDEX/g, s); + return r; +} +function Oa(i) { + let e = "precision " + i.precision + ` float; +precision ` + i.precision + " int;"; + return i.precision === "highp" ? e += ` +#define HIGH_PRECISION` : i.precision === "mediump" ? e += ` +#define MEDIUM_PRECISION` : i.precision === "lowp" && (e += ` +#define LOW_PRECISION`), e; +} +function Sf(i) { + let e = "SHADOWMAP_TYPE_BASIC"; + return i.shadowMapType === so ? e = "SHADOWMAP_TYPE_PCF" : i.shadowMapType === ao ? e = "SHADOWMAP_TYPE_PCF_SOFT" : i.shadowMapType === jt && (e = "SHADOWMAP_TYPE_VSM"), e; +} +function Ef(i) { + let e = "ENVMAP_TYPE_CUBE"; + if (i.envMap) + switch (i.envMapMode) { + case Qn: + case ei: + e = "ENVMAP_TYPE_CUBE"; + break; + case rr: + e = "ENVMAP_TYPE_CUBE_UV"; + break; + } + return e; +} +function yf(i) { + let e = "ENVMAP_MODE_REFLECTION"; + if (i.envMap) + switch (i.envMapMode) { + case ei: + e = "ENVMAP_MODE_REFRACTION"; + break; + } + return e; +} +function Tf(i) { + let e = "ENVMAP_BLENDING_NONE"; + if (i.envMap) + switch (i.combine) { + case oo: + e = "ENVMAP_BLENDING_MULTIPLY"; + break; + case vl: + e = "ENVMAP_BLENDING_MIX"; + break; + case xl: + e = "ENVMAP_BLENDING_ADD"; + break; + } + return e; +} +function bf(i) { + const e = i.envMapCubeUVHeight; + if (e === null) return null; + const t = Math.log2(e) - 2, n = 1 / e; + return { texelWidth: 1 / (3 * Math.max(Math.pow(2, t), 7 * 16)), texelHeight: n, maxMip: t }; +} +function Af(i, e, t, n) { + const r = i.getContext(), s = t.defines; + let o = t.vertexShader, a = t.fragmentShader; + const l = Sf(t), c = Ef(t), h = yf(t), d = Tf(t), p = bf(t), m = t.isWebGL2 ? "" : df(t), g = ff(t), v = pf(s), f = r.createProgram(); + let u, b, S = t.glslVersion ? "#version " + t.glslVersion + ` +` : ""; + t.isRawShaderMaterial ? (u = [ + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v + ].filter(Zn).join(` +`), u.length > 0 && (u += ` +`), b = [ + m, + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v + ].filter(Zn).join(` +`), b.length > 0 && (b += ` +`)) : (u = [ + Oa(t), + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v, + t.extensionClipCullDistance ? "#define USE_CLIP_DISTANCE" : "", + t.batching ? "#define USE_BATCHING" : "", + t.instancing ? "#define USE_INSTANCING" : "", + t.instancingColor ? "#define USE_INSTANCING_COLOR" : "", + t.useFog && t.fog ? "#define USE_FOG" : "", + t.useFog && t.fogExp2 ? "#define FOG_EXP2" : "", + t.map ? "#define USE_MAP" : "", + t.envMap ? "#define USE_ENVMAP" : "", + t.envMap ? "#define " + h : "", + t.lightMap ? "#define USE_LIGHTMAP" : "", + t.aoMap ? "#define USE_AOMAP" : "", + t.bumpMap ? "#define USE_BUMPMAP" : "", + t.normalMap ? "#define USE_NORMALMAP" : "", + t.normalMapObjectSpace ? "#define USE_NORMALMAP_OBJECTSPACE" : "", + t.normalMapTangentSpace ? "#define USE_NORMALMAP_TANGENTSPACE" : "", + t.displacementMap ? "#define USE_DISPLACEMENTMAP" : "", + t.emissiveMap ? "#define USE_EMISSIVEMAP" : "", + t.anisotropy ? "#define USE_ANISOTROPY" : "", + t.anisotropyMap ? "#define USE_ANISOTROPYMAP" : "", + t.clearcoatMap ? "#define USE_CLEARCOATMAP" : "", + t.clearcoatRoughnessMap ? "#define USE_CLEARCOAT_ROUGHNESSMAP" : "", + t.clearcoatNormalMap ? "#define USE_CLEARCOAT_NORMALMAP" : "", + t.iridescenceMap ? "#define USE_IRIDESCENCEMAP" : "", + t.iridescenceThicknessMap ? "#define USE_IRIDESCENCE_THICKNESSMAP" : "", + t.specularMap ? "#define USE_SPECULARMAP" : "", + t.specularColorMap ? "#define USE_SPECULAR_COLORMAP" : "", + t.specularIntensityMap ? "#define USE_SPECULAR_INTENSITYMAP" : "", + t.roughnessMap ? "#define USE_ROUGHNESSMAP" : "", + t.metalnessMap ? "#define USE_METALNESSMAP" : "", + t.alphaMap ? "#define USE_ALPHAMAP" : "", + t.alphaHash ? "#define USE_ALPHAHASH" : "", + t.transmission ? "#define USE_TRANSMISSION" : "", + t.transmissionMap ? "#define USE_TRANSMISSIONMAP" : "", + t.thicknessMap ? "#define USE_THICKNESSMAP" : "", + t.sheenColorMap ? "#define USE_SHEEN_COLORMAP" : "", + t.sheenRoughnessMap ? "#define USE_SHEEN_ROUGHNESSMAP" : "", + // + t.mapUv ? "#define MAP_UV " + t.mapUv : "", + t.alphaMapUv ? "#define ALPHAMAP_UV " + t.alphaMapUv : "", + t.lightMapUv ? "#define LIGHTMAP_UV " + t.lightMapUv : "", + t.aoMapUv ? "#define AOMAP_UV " + t.aoMapUv : "", + t.emissiveMapUv ? "#define EMISSIVEMAP_UV " + t.emissiveMapUv : "", + t.bumpMapUv ? "#define BUMPMAP_UV " + t.bumpMapUv : "", + t.normalMapUv ? "#define NORMALMAP_UV " + t.normalMapUv : "", + t.displacementMapUv ? "#define DISPLACEMENTMAP_UV " + t.displacementMapUv : "", + t.metalnessMapUv ? "#define METALNESSMAP_UV " + t.metalnessMapUv : "", + t.roughnessMapUv ? "#define ROUGHNESSMAP_UV " + t.roughnessMapUv : "", + t.anisotropyMapUv ? "#define ANISOTROPYMAP_UV " + t.anisotropyMapUv : "", + t.clearcoatMapUv ? "#define CLEARCOATMAP_UV " + t.clearcoatMapUv : "", + t.clearcoatNormalMapUv ? "#define CLEARCOAT_NORMALMAP_UV " + t.clearcoatNormalMapUv : "", + t.clearcoatRoughnessMapUv ? "#define CLEARCOAT_ROUGHNESSMAP_UV " + t.clearcoatRoughnessMapUv : "", + t.iridescenceMapUv ? "#define IRIDESCENCEMAP_UV " + t.iridescenceMapUv : "", + t.iridescenceThicknessMapUv ? "#define IRIDESCENCE_THICKNESSMAP_UV " + t.iridescenceThicknessMapUv : "", + t.sheenColorMapUv ? "#define SHEEN_COLORMAP_UV " + t.sheenColorMapUv : "", + t.sheenRoughnessMapUv ? "#define SHEEN_ROUGHNESSMAP_UV " + t.sheenRoughnessMapUv : "", + t.specularMapUv ? "#define SPECULARMAP_UV " + t.specularMapUv : "", + t.specularColorMapUv ? "#define SPECULAR_COLORMAP_UV " + t.specularColorMapUv : "", + t.specularIntensityMapUv ? "#define SPECULAR_INTENSITYMAP_UV " + t.specularIntensityMapUv : "", + t.transmissionMapUv ? "#define TRANSMISSIONMAP_UV " + t.transmissionMapUv : "", + t.thicknessMapUv ? "#define THICKNESSMAP_UV " + t.thicknessMapUv : "", + // + t.vertexTangents && t.flatShading === !1 ? "#define USE_TANGENT" : "", + t.vertexColors ? "#define USE_COLOR" : "", + t.vertexAlphas ? "#define USE_COLOR_ALPHA" : "", + t.vertexUv1s ? "#define USE_UV1" : "", + t.vertexUv2s ? "#define USE_UV2" : "", + t.vertexUv3s ? "#define USE_UV3" : "", + t.pointsUvs ? "#define USE_POINTS_UV" : "", + t.flatShading ? "#define FLAT_SHADED" : "", + t.skinning ? "#define USE_SKINNING" : "", + t.morphTargets ? "#define USE_MORPHTARGETS" : "", + t.morphNormals && t.flatShading === !1 ? "#define USE_MORPHNORMALS" : "", + t.morphColors && t.isWebGL2 ? "#define USE_MORPHCOLORS" : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_TEXTURE" : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_TEXTURE_STRIDE " + t.morphTextureStride : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_COUNT " + t.morphTargetsCount : "", + t.doubleSided ? "#define DOUBLE_SIDED" : "", + t.flipSided ? "#define FLIP_SIDED" : "", + t.shadowMapEnabled ? "#define USE_SHADOWMAP" : "", + t.shadowMapEnabled ? "#define " + l : "", + t.sizeAttenuation ? "#define USE_SIZEATTENUATION" : "", + t.numLightProbes > 0 ? "#define USE_LIGHT_PROBES" : "", + t.useLegacyLights ? "#define LEGACY_LIGHTS" : "", + t.logarithmicDepthBuffer ? "#define USE_LOGDEPTHBUF" : "", + t.logarithmicDepthBuffer && t.rendererExtensionFragDepth ? "#define USE_LOGDEPTHBUF_EXT" : "", + "uniform mat4 modelMatrix;", + "uniform mat4 modelViewMatrix;", + "uniform mat4 projectionMatrix;", + "uniform mat4 viewMatrix;", + "uniform mat3 normalMatrix;", + "uniform vec3 cameraPosition;", + "uniform bool isOrthographic;", + "#ifdef USE_INSTANCING", + " attribute mat4 instanceMatrix;", + "#endif", + "#ifdef USE_INSTANCING_COLOR", + " attribute vec3 instanceColor;", + "#endif", + "attribute vec3 position;", + "attribute vec3 normal;", + "attribute vec2 uv;", + "#ifdef USE_UV1", + " attribute vec2 uv1;", + "#endif", + "#ifdef USE_UV2", + " attribute vec2 uv2;", + "#endif", + "#ifdef USE_UV3", + " attribute vec2 uv3;", + "#endif", + "#ifdef USE_TANGENT", + " attribute vec4 tangent;", + "#endif", + "#if defined( USE_COLOR_ALPHA )", + " attribute vec4 color;", + "#elif defined( USE_COLOR )", + " attribute vec3 color;", + "#endif", + "#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )", + " attribute vec3 morphTarget0;", + " attribute vec3 morphTarget1;", + " attribute vec3 morphTarget2;", + " attribute vec3 morphTarget3;", + " #ifdef USE_MORPHNORMALS", + " attribute vec3 morphNormal0;", + " attribute vec3 morphNormal1;", + " attribute vec3 morphNormal2;", + " attribute vec3 morphNormal3;", + " #else", + " attribute vec3 morphTarget4;", + " attribute vec3 morphTarget5;", + " attribute vec3 morphTarget6;", + " attribute vec3 morphTarget7;", + " #endif", + "#endif", + "#ifdef USE_SKINNING", + " attribute vec4 skinIndex;", + " attribute vec4 skinWeight;", + "#endif", + ` +` + ].filter(Zn).join(` +`), b = [ + m, + Oa(t), + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v, + t.useFog && t.fog ? "#define USE_FOG" : "", + t.useFog && t.fogExp2 ? "#define FOG_EXP2" : "", + t.map ? "#define USE_MAP" : "", + t.matcap ? "#define USE_MATCAP" : "", + t.envMap ? "#define USE_ENVMAP" : "", + t.envMap ? "#define " + c : "", + t.envMap ? "#define " + h : "", + t.envMap ? "#define " + d : "", + p ? "#define CUBEUV_TEXEL_WIDTH " + p.texelWidth : "", + p ? "#define CUBEUV_TEXEL_HEIGHT " + p.texelHeight : "", + p ? "#define CUBEUV_MAX_MIP " + p.maxMip + ".0" : "", + t.lightMap ? "#define USE_LIGHTMAP" : "", + t.aoMap ? "#define USE_AOMAP" : "", + t.bumpMap ? "#define USE_BUMPMAP" : "", + t.normalMap ? "#define USE_NORMALMAP" : "", + t.normalMapObjectSpace ? "#define USE_NORMALMAP_OBJECTSPACE" : "", + t.normalMapTangentSpace ? "#define USE_NORMALMAP_TANGENTSPACE" : "", + t.emissiveMap ? "#define USE_EMISSIVEMAP" : "", + t.anisotropy ? "#define USE_ANISOTROPY" : "", + t.anisotropyMap ? "#define USE_ANISOTROPYMAP" : "", + t.clearcoat ? "#define USE_CLEARCOAT" : "", + t.clearcoatMap ? "#define USE_CLEARCOATMAP" : "", + t.clearcoatRoughnessMap ? "#define USE_CLEARCOAT_ROUGHNESSMAP" : "", + t.clearcoatNormalMap ? "#define USE_CLEARCOAT_NORMALMAP" : "", + t.iridescence ? "#define USE_IRIDESCENCE" : "", + t.iridescenceMap ? "#define USE_IRIDESCENCEMAP" : "", + t.iridescenceThicknessMap ? "#define USE_IRIDESCENCE_THICKNESSMAP" : "", + t.specularMap ? "#define USE_SPECULARMAP" : "", + t.specularColorMap ? "#define USE_SPECULAR_COLORMAP" : "", + t.specularIntensityMap ? "#define USE_SPECULAR_INTENSITYMAP" : "", + t.roughnessMap ? "#define USE_ROUGHNESSMAP" : "", + t.metalnessMap ? "#define USE_METALNESSMAP" : "", + t.alphaMap ? "#define USE_ALPHAMAP" : "", + t.alphaTest ? "#define USE_ALPHATEST" : "", + t.alphaHash ? "#define USE_ALPHAHASH" : "", + t.sheen ? "#define USE_SHEEN" : "", + t.sheenColorMap ? "#define USE_SHEEN_COLORMAP" : "", + t.sheenRoughnessMap ? "#define USE_SHEEN_ROUGHNESSMAP" : "", + t.transmission ? "#define USE_TRANSMISSION" : "", + t.transmissionMap ? "#define USE_TRANSMISSIONMAP" : "", + t.thicknessMap ? "#define USE_THICKNESSMAP" : "", + t.vertexTangents && t.flatShading === !1 ? "#define USE_TANGENT" : "", + t.vertexColors || t.instancingColor ? "#define USE_COLOR" : "", + t.vertexAlphas ? "#define USE_COLOR_ALPHA" : "", + t.vertexUv1s ? "#define USE_UV1" : "", + t.vertexUv2s ? "#define USE_UV2" : "", + t.vertexUv3s ? "#define USE_UV3" : "", + t.pointsUvs ? "#define USE_POINTS_UV" : "", + t.gradientMap ? "#define USE_GRADIENTMAP" : "", + t.flatShading ? "#define FLAT_SHADED" : "", + t.doubleSided ? "#define DOUBLE_SIDED" : "", + t.flipSided ? "#define FLIP_SIDED" : "", + t.shadowMapEnabled ? "#define USE_SHADOWMAP" : "", + t.shadowMapEnabled ? "#define " + l : "", + t.premultipliedAlpha ? "#define PREMULTIPLIED_ALPHA" : "", + t.numLightProbes > 0 ? "#define USE_LIGHT_PROBES" : "", + t.useLegacyLights ? "#define LEGACY_LIGHTS" : "", + t.decodeVideoTexture ? "#define DECODE_VIDEO_TEXTURE" : "", + t.logarithmicDepthBuffer ? "#define USE_LOGDEPTHBUF" : "", + t.logarithmicDepthBuffer && t.rendererExtensionFragDepth ? "#define USE_LOGDEPTHBUF_EXT" : "", + "uniform mat4 viewMatrix;", + "uniform vec3 cameraPosition;", + "uniform bool isOrthographic;", + t.toneMapping !== ln ? "#define TONE_MAPPING" : "", + t.toneMapping !== ln ? Be.tonemapping_pars_fragment : "", + // this code is required here because it is used by the toneMapping() function defined below + t.toneMapping !== ln ? hf("toneMapping", t.toneMapping) : "", + t.dithering ? "#define DITHERING" : "", + t.opaque ? "#define OPAQUE" : "", + Be.colorspace_pars_fragment, + // this code is required here because it is used by the various encoding/decoding function defined below + uf("linearToOutputTexel", t.outputColorSpace), + t.useDepthPacking ? "#define DEPTH_PACKING " + t.depthPacking : "", + ` +` + ].filter(Zn).join(` +`)), o = rs(o), o = Ia(o, t), o = Na(o, t), a = rs(a), a = Ia(a, t), a = Na(a, t), o = Fa(o), a = Fa(a), t.isWebGL2 && t.isRawShaderMaterial !== !0 && (S = `#version 300 es +`, u = [ + g, + "precision mediump sampler2DArray;", + "#define attribute in", + "#define varying out", + "#define texture2D texture" + ].join(` +`) + ` +` + u, b = [ + "precision mediump sampler2DArray;", + "#define varying in", + t.glslVersion === ta ? "" : "layout(location = 0) out highp vec4 pc_fragColor;", + t.glslVersion === ta ? "" : "#define gl_FragColor pc_fragColor", + "#define gl_FragDepthEXT gl_FragDepth", + "#define texture2D texture", + "#define textureCube texture", + "#define texture2DProj textureProj", + "#define texture2DLodEXT textureLod", + "#define texture2DProjLodEXT textureProjLod", + "#define textureCubeLodEXT textureLod", + "#define texture2DGradEXT textureGrad", + "#define texture2DProjGradEXT textureProjGrad", + "#define textureCubeGradEXT textureGrad" + ].join(` +`) + ` +` + b); + const R = S + u + o, D = S + b + a, C = Da(r, r.VERTEX_SHADER, R), A = Da(r, r.FRAGMENT_SHADER, D); + r.attachShader(f, C), r.attachShader(f, A), t.index0AttributeName !== void 0 ? r.bindAttribLocation(f, 0, t.index0AttributeName) : t.morphTargets === !0 && r.bindAttribLocation(f, 0, "position"), r.linkProgram(f); + function W(Z) { + if (i.debug.checkShaderErrors) { + const re = r.getProgramInfoLog(f).trim(), L = r.getShaderInfoLog(C).trim(), F = r.getShaderInfoLog(A).trim(); + let V = !0, Y = !0; + if (r.getProgramParameter(f, r.LINK_STATUS) === !1) + if (V = !1, typeof i.debug.onShaderError == "function") + i.debug.onShaderError(r, f, C, A); + else { + const X = Ua(r, C, "vertex"), k = Ua(r, A, "fragment"); + console.error( + "THREE.WebGLProgram: Shader Error " + r.getError() + " - VALIDATE_STATUS " + r.getProgramParameter(f, r.VALIDATE_STATUS) + ` + +Program Info Log: ` + re + ` +` + X + ` +` + k + ); + } + else re !== "" ? console.warn("THREE.WebGLProgram: Program Info Log:", re) : (L === "" || F === "") && (Y = !1); + Y && (Z.diagnostics = { + runnable: V, + programLog: re, + vertexShader: { + log: L, + prefix: u + }, + fragmentShader: { + log: F, + prefix: b + } + }); + } + r.deleteShader(C), r.deleteShader(A), x = new Zi(r, f), y = mf(r, f); + } + let x; + this.getUniforms = function() { + return x === void 0 && W(this), x; + }; + let y; + this.getAttributes = function() { + return y === void 0 && W(this), y; + }; + let z = t.rendererExtensionParallelShaderCompile === !1; + return this.isReady = function() { + return z === !1 && (z = r.getProgramParameter(f, af)), z; + }, this.destroy = function() { + n.releaseStatesOfProgram(this), r.deleteProgram(f), this.program = void 0; + }, this.type = t.shaderType, this.name = t.shaderName, this.id = of++, this.cacheKey = e, this.usedTimes = 1, this.program = f, this.vertexShader = C, this.fragmentShader = A, this; +} +let wf = 0; +class Rf { + constructor() { + this.shaderCache = /* @__PURE__ */ new Map(), this.materialCache = /* @__PURE__ */ new Map(); + } + update(e) { + const t = e.vertexShader, n = e.fragmentShader, r = this._getShaderStage(t), s = this._getShaderStage(n), o = this._getShaderCacheForMaterial(e); + return o.has(r) === !1 && (o.add(r), r.usedTimes++), o.has(s) === !1 && (o.add(s), s.usedTimes++), this; + } + remove(e) { + const t = this.materialCache.get(e); + for (const n of t) + n.usedTimes--, n.usedTimes === 0 && this.shaderCache.delete(n.code); + return this.materialCache.delete(e), this; + } + getVertexShaderID(e) { + return this._getShaderStage(e.vertexShader).id; + } + getFragmentShaderID(e) { + return this._getShaderStage(e.fragmentShader).id; + } + dispose() { + this.shaderCache.clear(), this.materialCache.clear(); + } + _getShaderCacheForMaterial(e) { + const t = this.materialCache; + let n = t.get(e); + return n === void 0 && (n = /* @__PURE__ */ new Set(), t.set(e, n)), n; + } + _getShaderStage(e) { + const t = this.shaderCache; + let n = t.get(e); + return n === void 0 && (n = new Cf(e), t.set(e, n)), n; + } +} +class Cf { + constructor(e) { + this.id = wf++, this.code = e, this.usedTimes = 0; + } +} +function Lf(i, e, t, n, r, s, o) { + const a = new bo(), l = new Rf(), c = [], h = r.isWebGL2, d = r.logarithmicDepthBuffer, p = r.vertexTextures; + let m = r.precision; + const g = { + MeshDepthMaterial: "depth", + MeshDistanceMaterial: "distanceRGBA", + MeshNormalMaterial: "normal", + MeshBasicMaterial: "basic", + MeshLambertMaterial: "lambert", + MeshPhongMaterial: "phong", + MeshToonMaterial: "toon", + MeshStandardMaterial: "physical", + MeshPhysicalMaterial: "physical", + MeshMatcapMaterial: "matcap", + LineBasicMaterial: "basic", + LineDashedMaterial: "dashed", + PointsMaterial: "points", + ShadowMaterial: "shadow", + SpriteMaterial: "sprite" + }; + function v(x) { + return x === 0 ? "uv" : `uv${x}`; + } + function f(x, y, z, Z, re) { + const L = Z.fog, F = re.geometry, V = x.isMeshStandardMaterial ? Z.environment : null, Y = (x.isMeshStandardMaterial ? t : e).get(x.envMap || V), X = Y && Y.mapping === rr ? Y.image.height : null, k = g[x.type]; + x.precision !== null && (m = r.getMaxPrecision(x.precision), m !== x.precision && console.warn("THREE.WebGLProgram.getParameters:", x.precision, "not supported, using", m, "instead.")); + const q = F.morphAttributes.position || F.morphAttributes.normal || F.morphAttributes.color, Q = q !== void 0 ? q.length : 0; + let ce = 0; + F.morphAttributes.position !== void 0 && (ce = 1), F.morphAttributes.normal !== void 0 && (ce = 2), F.morphAttributes.color !== void 0 && (ce = 3); + let H, j, oe, ve; + if (k) { + const nt = Gt[k]; + H = nt.vertexShader, j = nt.fragmentShader; + } else + H = x.vertexShader, j = x.fragmentShader, l.update(x), oe = l.getVertexShaderID(x), ve = l.getFragmentShaderID(x); + const _e = i.getRenderTarget(), we = re.isInstancedMesh === !0, Ae = re.isBatchedMesh === !0, ge = !!x.map, Pe = !!x.matcap, N = !!Y, rt = !!x.aoMap, Me = !!x.lightMap, Re = !!x.bumpMap, pe = !!x.normalMap, je = !!x.displacementMap, be = !!x.emissiveMap, M = !!x.metalnessMap, _ = !!x.roughnessMap, I = x.anisotropy > 0, $ = x.clearcoat > 0, K = x.iridescence > 0, J = x.sheen > 0, me = x.transmission > 0, ae = I && !!x.anisotropyMap, he = $ && !!x.clearcoatMap, ye = $ && !!x.clearcoatNormalMap, Fe = $ && !!x.clearcoatRoughnessMap, ee = K && !!x.iridescenceMap, Ye = K && !!x.iridescenceThicknessMap, ze = J && !!x.sheenColorMap, De = J && !!x.sheenRoughnessMap, Ee = !!x.specularMap, ue = !!x.specularColorMap, T = !!x.specularIntensityMap, ne = me && !!x.transmissionMap, xe = me && !!x.thicknessMap, fe = !!x.gradientMap, te = !!x.alphaMap, w = x.alphaTest > 0, ie = !!x.alphaHash, le = !!x.extensions, Ce = !!F.attributes.uv1, Te = !!F.attributes.uv2, ke = !!F.attributes.uv3; + let We = ln; + return x.toneMapped && (_e === null || _e.isXRRenderTarget === !0) && (We = i.toneMapping), { + isWebGL2: h, + shaderID: k, + shaderType: x.type, + shaderName: x.name, + vertexShader: H, + fragmentShader: j, + defines: x.defines, + customVertexShaderID: oe, + customFragmentShaderID: ve, + isRawShaderMaterial: x.isRawShaderMaterial === !0, + glslVersion: x.glslVersion, + precision: m, + batching: Ae, + instancing: we, + instancingColor: we && re.instanceColor !== null, + supportsVertexTextures: p, + outputColorSpace: _e === null ? i.outputColorSpace : _e.isXRRenderTarget === !0 ? _e.texture.colorSpace : $t, + map: ge, + matcap: Pe, + envMap: N, + envMapMode: N && Y.mapping, + envMapCubeUVHeight: X, + aoMap: rt, + lightMap: Me, + bumpMap: Re, + normalMap: pe, + displacementMap: p && je, + emissiveMap: be, + normalMapObjectSpace: pe && x.normalMapType === Ol, + normalMapTangentSpace: pe && x.normalMapType === vo, + metalnessMap: M, + roughnessMap: _, + anisotropy: I, + anisotropyMap: ae, + clearcoat: $, + clearcoatMap: he, + clearcoatNormalMap: ye, + clearcoatRoughnessMap: Fe, + iridescence: K, + iridescenceMap: ee, + iridescenceThicknessMap: Ye, + sheen: J, + sheenColorMap: ze, + sheenRoughnessMap: De, + specularMap: Ee, + specularColorMap: ue, + specularIntensityMap: T, + transmission: me, + transmissionMap: ne, + thicknessMap: xe, + gradientMap: fe, + opaque: x.transparent === !1 && x.blending === $n, + alphaMap: te, + alphaTest: w, + alphaHash: ie, + combine: x.combine, + // + mapUv: ge && v(x.map.channel), + aoMapUv: rt && v(x.aoMap.channel), + lightMapUv: Me && v(x.lightMap.channel), + bumpMapUv: Re && v(x.bumpMap.channel), + normalMapUv: pe && v(x.normalMap.channel), + displacementMapUv: je && v(x.displacementMap.channel), + emissiveMapUv: be && v(x.emissiveMap.channel), + metalnessMapUv: M && v(x.metalnessMap.channel), + roughnessMapUv: _ && v(x.roughnessMap.channel), + anisotropyMapUv: ae && v(x.anisotropyMap.channel), + clearcoatMapUv: he && v(x.clearcoatMap.channel), + clearcoatNormalMapUv: ye && v(x.clearcoatNormalMap.channel), + clearcoatRoughnessMapUv: Fe && v(x.clearcoatRoughnessMap.channel), + iridescenceMapUv: ee && v(x.iridescenceMap.channel), + iridescenceThicknessMapUv: Ye && v(x.iridescenceThicknessMap.channel), + sheenColorMapUv: ze && v(x.sheenColorMap.channel), + sheenRoughnessMapUv: De && v(x.sheenRoughnessMap.channel), + specularMapUv: Ee && v(x.specularMap.channel), + specularColorMapUv: ue && v(x.specularColorMap.channel), + specularIntensityMapUv: T && v(x.specularIntensityMap.channel), + transmissionMapUv: ne && v(x.transmissionMap.channel), + thicknessMapUv: xe && v(x.thicknessMap.channel), + alphaMapUv: te && v(x.alphaMap.channel), + // + vertexTangents: !!F.attributes.tangent && (pe || I), + vertexColors: x.vertexColors, + vertexAlphas: x.vertexColors === !0 && !!F.attributes.color && F.attributes.color.itemSize === 4, + vertexUv1s: Ce, + vertexUv2s: Te, + vertexUv3s: ke, + pointsUvs: re.isPoints === !0 && !!F.attributes.uv && (ge || te), + fog: !!L, + useFog: x.fog === !0, + fogExp2: L && L.isFogExp2, + flatShading: x.flatShading === !0, + sizeAttenuation: x.sizeAttenuation === !0, + logarithmicDepthBuffer: d, + skinning: re.isSkinnedMesh === !0, + morphTargets: F.morphAttributes.position !== void 0, + morphNormals: F.morphAttributes.normal !== void 0, + morphColors: F.morphAttributes.color !== void 0, + morphTargetsCount: Q, + morphTextureStride: ce, + numDirLights: y.directional.length, + numPointLights: y.point.length, + numSpotLights: y.spot.length, + numSpotLightMaps: y.spotLightMap.length, + numRectAreaLights: y.rectArea.length, + numHemiLights: y.hemi.length, + numDirLightShadows: y.directionalShadowMap.length, + numPointLightShadows: y.pointShadowMap.length, + numSpotLightShadows: y.spotShadowMap.length, + numSpotLightShadowsWithMaps: y.numSpotLightShadowsWithMaps, + numLightProbes: y.numLightProbes, + numClippingPlanes: o.numPlanes, + numClipIntersection: o.numIntersection, + dithering: x.dithering, + shadowMapEnabled: i.shadowMap.enabled && z.length > 0, + shadowMapType: i.shadowMap.type, + toneMapping: We, + useLegacyLights: i._useLegacyLights, + decodeVideoTexture: ge && x.map.isVideoTexture === !0 && Ke.getTransfer(x.map.colorSpace) === Ze, + premultipliedAlpha: x.premultipliedAlpha, + doubleSided: x.side === Kt, + flipSided: x.side === Mt, + useDepthPacking: x.depthPacking >= 0, + depthPacking: x.depthPacking || 0, + index0AttributeName: x.index0AttributeName, + extensionDerivatives: le && x.extensions.derivatives === !0, + extensionFragDepth: le && x.extensions.fragDepth === !0, + extensionDrawBuffers: le && x.extensions.drawBuffers === !0, + extensionShaderTextureLOD: le && x.extensions.shaderTextureLOD === !0, + extensionClipCullDistance: le && x.extensions.clipCullDistance && n.has("WEBGL_clip_cull_distance"), + rendererExtensionFragDepth: h || n.has("EXT_frag_depth"), + rendererExtensionDrawBuffers: h || n.has("WEBGL_draw_buffers"), + rendererExtensionShaderTextureLod: h || n.has("EXT_shader_texture_lod"), + rendererExtensionParallelShaderCompile: n.has("KHR_parallel_shader_compile"), + customProgramCacheKey: x.customProgramCacheKey() + }; + } + function u(x) { + const y = []; + if (x.shaderID ? y.push(x.shaderID) : (y.push(x.customVertexShaderID), y.push(x.customFragmentShaderID)), x.defines !== void 0) + for (const z in x.defines) + y.push(z), y.push(x.defines[z]); + return x.isRawShaderMaterial === !1 && (b(y, x), S(y, x), y.push(i.outputColorSpace)), y.push(x.customProgramCacheKey), y.join(); + } + function b(x, y) { + x.push(y.precision), x.push(y.outputColorSpace), x.push(y.envMapMode), x.push(y.envMapCubeUVHeight), x.push(y.mapUv), x.push(y.alphaMapUv), x.push(y.lightMapUv), x.push(y.aoMapUv), x.push(y.bumpMapUv), x.push(y.normalMapUv), x.push(y.displacementMapUv), x.push(y.emissiveMapUv), x.push(y.metalnessMapUv), x.push(y.roughnessMapUv), x.push(y.anisotropyMapUv), x.push(y.clearcoatMapUv), x.push(y.clearcoatNormalMapUv), x.push(y.clearcoatRoughnessMapUv), x.push(y.iridescenceMapUv), x.push(y.iridescenceThicknessMapUv), x.push(y.sheenColorMapUv), x.push(y.sheenRoughnessMapUv), x.push(y.specularMapUv), x.push(y.specularColorMapUv), x.push(y.specularIntensityMapUv), x.push(y.transmissionMapUv), x.push(y.thicknessMapUv), x.push(y.combine), x.push(y.fogExp2), x.push(y.sizeAttenuation), x.push(y.morphTargetsCount), x.push(y.morphAttributeCount), x.push(y.numDirLights), x.push(y.numPointLights), x.push(y.numSpotLights), x.push(y.numSpotLightMaps), x.push(y.numHemiLights), x.push(y.numRectAreaLights), x.push(y.numDirLightShadows), x.push(y.numPointLightShadows), x.push(y.numSpotLightShadows), x.push(y.numSpotLightShadowsWithMaps), x.push(y.numLightProbes), x.push(y.shadowMapType), x.push(y.toneMapping), x.push(y.numClippingPlanes), x.push(y.numClipIntersection), x.push(y.depthPacking); + } + function S(x, y) { + a.disableAll(), y.isWebGL2 && a.enable(0), y.supportsVertexTextures && a.enable(1), y.instancing && a.enable(2), y.instancingColor && a.enable(3), y.matcap && a.enable(4), y.envMap && a.enable(5), y.normalMapObjectSpace && a.enable(6), y.normalMapTangentSpace && a.enable(7), y.clearcoat && a.enable(8), y.iridescence && a.enable(9), y.alphaTest && a.enable(10), y.vertexColors && a.enable(11), y.vertexAlphas && a.enable(12), y.vertexUv1s && a.enable(13), y.vertexUv2s && a.enable(14), y.vertexUv3s && a.enable(15), y.vertexTangents && a.enable(16), y.anisotropy && a.enable(17), y.alphaHash && a.enable(18), y.batching && a.enable(19), x.push(a.mask), a.disableAll(), y.fog && a.enable(0), y.useFog && a.enable(1), y.flatShading && a.enable(2), y.logarithmicDepthBuffer && a.enable(3), y.skinning && a.enable(4), y.morphTargets && a.enable(5), y.morphNormals && a.enable(6), y.morphColors && a.enable(7), y.premultipliedAlpha && a.enable(8), y.shadowMapEnabled && a.enable(9), y.useLegacyLights && a.enable(10), y.doubleSided && a.enable(11), y.flipSided && a.enable(12), y.useDepthPacking && a.enable(13), y.dithering && a.enable(14), y.transmission && a.enable(15), y.sheen && a.enable(16), y.opaque && a.enable(17), y.pointsUvs && a.enable(18), y.decodeVideoTexture && a.enable(19), x.push(a.mask); + } + function R(x) { + const y = g[x.type]; + let z; + if (y) { + const Z = Gt[y]; + z = hc.clone(Z.uniforms); + } else + z = x.uniforms; + return z; + } + function D(x, y) { + let z; + for (let Z = 0, re = c.length; Z < re; Z++) { + const L = c[Z]; + if (L.cacheKey === y) { + z = L, ++z.usedTimes; + break; + } + } + return z === void 0 && (z = new Af(i, y, x, s), c.push(z)), z; + } + function C(x) { + if (--x.usedTimes === 0) { + const y = c.indexOf(x); + c[y] = c[c.length - 1], c.pop(), x.destroy(); + } + } + function A(x) { + l.remove(x); + } + function W() { + l.dispose(); + } + return { + getParameters: f, + getProgramCacheKey: u, + getUniforms: R, + acquireProgram: D, + releaseProgram: C, + releaseShaderCache: A, + // Exposed for resource monitoring & error feedback via renderer.info: + programs: c, + dispose: W + }; +} +function Pf() { + let i = /* @__PURE__ */ new WeakMap(); + function e(s) { + let o = i.get(s); + return o === void 0 && (o = {}, i.set(s, o)), o; + } + function t(s) { + i.delete(s); + } + function n(s, o, a) { + i.get(s)[o] = a; + } + function r() { + i = /* @__PURE__ */ new WeakMap(); + } + return { + get: e, + remove: t, + update: n, + dispose: r + }; +} +function Df(i, e) { + return i.groupOrder !== e.groupOrder ? i.groupOrder - e.groupOrder : i.renderOrder !== e.renderOrder ? i.renderOrder - e.renderOrder : i.material.id !== e.material.id ? i.material.id - e.material.id : i.z !== e.z ? i.z - e.z : i.id - e.id; +} +function Ba(i, e) { + return i.groupOrder !== e.groupOrder ? i.groupOrder - e.groupOrder : i.renderOrder !== e.renderOrder ? i.renderOrder - e.renderOrder : i.z !== e.z ? e.z - i.z : i.id - e.id; +} +function za() { + const i = []; + let e = 0; + const t = [], n = [], r = []; + function s() { + e = 0, t.length = 0, n.length = 0, r.length = 0; + } + function o(d, p, m, g, v, f) { + let u = i[e]; + return u === void 0 ? (u = { + id: d.id, + object: d, + geometry: p, + material: m, + groupOrder: g, + renderOrder: d.renderOrder, + z: v, + group: f + }, i[e] = u) : (u.id = d.id, u.object = d, u.geometry = p, u.material = m, u.groupOrder = g, u.renderOrder = d.renderOrder, u.z = v, u.group = f), e++, u; + } + function a(d, p, m, g, v, f) { + const u = o(d, p, m, g, v, f); + m.transmission > 0 ? n.push(u) : m.transparent === !0 ? r.push(u) : t.push(u); + } + function l(d, p, m, g, v, f) { + const u = o(d, p, m, g, v, f); + m.transmission > 0 ? n.unshift(u) : m.transparent === !0 ? r.unshift(u) : t.unshift(u); + } + function c(d, p) { + t.length > 1 && t.sort(d || Df), n.length > 1 && n.sort(p || Ba), r.length > 1 && r.sort(p || Ba); + } + function h() { + for (let d = e, p = i.length; d < p; d++) { + const m = i[d]; + if (m.id === null) break; + m.id = null, m.object = null, m.geometry = null, m.material = null, m.group = null; + } + } + return { + opaque: t, + transmissive: n, + transparent: r, + init: s, + push: a, + unshift: l, + finish: h, + sort: c + }; +} +function Uf() { + let i = /* @__PURE__ */ new WeakMap(); + function e(n, r) { + const s = i.get(n); + let o; + return s === void 0 ? (o = new za(), i.set(n, [o])) : r >= s.length ? (o = new za(), s.push(o)) : o = s[r], o; + } + function t() { + i = /* @__PURE__ */ new WeakMap(); + } + return { + get: e, + dispose: t + }; +} +function If() { + const i = {}; + return { + get: function(e) { + if (i[e.id] !== void 0) + return i[e.id]; + let t; + switch (e.type) { + case "DirectionalLight": + t = { + direction: new P(), + color: new Xe() + }; + break; + case "SpotLight": + t = { + position: new P(), + direction: new P(), + color: new Xe(), + distance: 0, + coneCos: 0, + penumbraCos: 0, + decay: 0 + }; + break; + case "PointLight": + t = { + position: new P(), + color: new Xe(), + distance: 0, + decay: 0 + }; + break; + case "HemisphereLight": + t = { + direction: new P(), + skyColor: new Xe(), + groundColor: new Xe() + }; + break; + case "RectAreaLight": + t = { + color: new Xe(), + position: new P(), + halfWidth: new P(), + halfHeight: new P() + }; + break; + } + return i[e.id] = t, t; + } + }; +} +function Nf() { + const i = {}; + return { + get: function(e) { + if (i[e.id] !== void 0) + return i[e.id]; + let t; + switch (e.type) { + case "DirectionalLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie() + }; + break; + case "SpotLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie() + }; + break; + case "PointLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie(), + shadowCameraNear: 1, + shadowCameraFar: 1e3 + }; + break; + } + return i[e.id] = t, t; + } + }; +} +let Ff = 0; +function Of(i, e) { + return (e.castShadow ? 2 : 0) - (i.castShadow ? 2 : 0) + (e.map ? 1 : 0) - (i.map ? 1 : 0); +} +function Bf(i, e) { + const t = new If(), n = Nf(), r = { + version: 0, + hash: { + directionalLength: -1, + pointLength: -1, + spotLength: -1, + rectAreaLength: -1, + hemiLength: -1, + numDirectionalShadows: -1, + numPointShadows: -1, + numSpotShadows: -1, + numSpotMaps: -1, + numLightProbes: -1 + }, + ambient: [0, 0, 0], + probe: [], + directional: [], + directionalShadow: [], + directionalShadowMap: [], + directionalShadowMatrix: [], + spot: [], + spotLightMap: [], + spotShadow: [], + spotShadowMap: [], + spotLightMatrix: [], + rectArea: [], + rectAreaLTC1: null, + rectAreaLTC2: null, + point: [], + pointShadow: [], + pointShadowMap: [], + pointShadowMatrix: [], + hemi: [], + numSpotLightShadowsWithMaps: 0, + numLightProbes: 0 + }; + for (let h = 0; h < 9; h++) r.probe.push(new P()); + const s = new P(), o = new Qe(), a = new Qe(); + function l(h, d) { + let p = 0, m = 0, g = 0; + for (let Z = 0; Z < 9; Z++) r.probe[Z].set(0, 0, 0); + let v = 0, f = 0, u = 0, b = 0, S = 0, R = 0, D = 0, C = 0, A = 0, W = 0, x = 0; + h.sort(Of); + const y = d === !0 ? Math.PI : 1; + for (let Z = 0, re = h.length; Z < re; Z++) { + const L = h[Z], F = L.color, V = L.intensity, Y = L.distance, X = L.shadow && L.shadow.map ? L.shadow.map.texture : null; + if (L.isAmbientLight) + p += F.r * V * y, m += F.g * V * y, g += F.b * V * y; + else if (L.isLightProbe) { + for (let k = 0; k < 9; k++) + r.probe[k].addScaledVector(L.sh.coefficients[k], V); + x++; + } else if (L.isDirectionalLight) { + const k = t.get(L); + if (k.color.copy(L.color).multiplyScalar(L.intensity * y), L.castShadow) { + const q = L.shadow, Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, r.directionalShadow[v] = Q, r.directionalShadowMap[v] = X, r.directionalShadowMatrix[v] = L.shadow.matrix, R++; + } + r.directional[v] = k, v++; + } else if (L.isSpotLight) { + const k = t.get(L); + k.position.setFromMatrixPosition(L.matrixWorld), k.color.copy(F).multiplyScalar(V * y), k.distance = Y, k.coneCos = Math.cos(L.angle), k.penumbraCos = Math.cos(L.angle * (1 - L.penumbra)), k.decay = L.decay, r.spot[u] = k; + const q = L.shadow; + if (L.map && (r.spotLightMap[A] = L.map, A++, q.updateMatrices(L), L.castShadow && W++), r.spotLightMatrix[u] = q.matrix, L.castShadow) { + const Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, r.spotShadow[u] = Q, r.spotShadowMap[u] = X, C++; + } + u++; + } else if (L.isRectAreaLight) { + const k = t.get(L); + k.color.copy(F).multiplyScalar(V), k.halfWidth.set(L.width * 0.5, 0, 0), k.halfHeight.set(0, L.height * 0.5, 0), r.rectArea[b] = k, b++; + } else if (L.isPointLight) { + const k = t.get(L); + if (k.color.copy(L.color).multiplyScalar(L.intensity * y), k.distance = L.distance, k.decay = L.decay, L.castShadow) { + const q = L.shadow, Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, Q.shadowCameraNear = q.camera.near, Q.shadowCameraFar = q.camera.far, r.pointShadow[f] = Q, r.pointShadowMap[f] = X, r.pointShadowMatrix[f] = L.shadow.matrix, D++; + } + r.point[f] = k, f++; + } else if (L.isHemisphereLight) { + const k = t.get(L); + k.skyColor.copy(L.color).multiplyScalar(V * y), k.groundColor.copy(L.groundColor).multiplyScalar(V * y), r.hemi[S] = k, S++; + } + } + b > 0 && (e.isWebGL2 ? i.has("OES_texture_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_FLOAT_1, r.rectAreaLTC2 = se.LTC_FLOAT_2) : (r.rectAreaLTC1 = se.LTC_HALF_1, r.rectAreaLTC2 = se.LTC_HALF_2) : i.has("OES_texture_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_FLOAT_1, r.rectAreaLTC2 = se.LTC_FLOAT_2) : i.has("OES_texture_half_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_HALF_1, r.rectAreaLTC2 = se.LTC_HALF_2) : console.error("THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.")), r.ambient[0] = p, r.ambient[1] = m, r.ambient[2] = g; + const z = r.hash; + (z.directionalLength !== v || z.pointLength !== f || z.spotLength !== u || z.rectAreaLength !== b || z.hemiLength !== S || z.numDirectionalShadows !== R || z.numPointShadows !== D || z.numSpotShadows !== C || z.numSpotMaps !== A || z.numLightProbes !== x) && (r.directional.length = v, r.spot.length = u, r.rectArea.length = b, r.point.length = f, r.hemi.length = S, r.directionalShadow.length = R, r.directionalShadowMap.length = R, r.pointShadow.length = D, r.pointShadowMap.length = D, r.spotShadow.length = C, r.spotShadowMap.length = C, r.directionalShadowMatrix.length = R, r.pointShadowMatrix.length = D, r.spotLightMatrix.length = C + A - W, r.spotLightMap.length = A, r.numSpotLightShadowsWithMaps = W, r.numLightProbes = x, z.directionalLength = v, z.pointLength = f, z.spotLength = u, z.rectAreaLength = b, z.hemiLength = S, z.numDirectionalShadows = R, z.numPointShadows = D, z.numSpotShadows = C, z.numSpotMaps = A, z.numLightProbes = x, r.version = Ff++); + } + function c(h, d) { + let p = 0, m = 0, g = 0, v = 0, f = 0; + const u = d.matrixWorldInverse; + for (let b = 0, S = h.length; b < S; b++) { + const R = h[b]; + if (R.isDirectionalLight) { + const D = r.directional[p]; + D.direction.setFromMatrixPosition(R.matrixWorld), s.setFromMatrixPosition(R.target.matrixWorld), D.direction.sub(s), D.direction.transformDirection(u), p++; + } else if (R.isSpotLight) { + const D = r.spot[g]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), D.direction.setFromMatrixPosition(R.matrixWorld), s.setFromMatrixPosition(R.target.matrixWorld), D.direction.sub(s), D.direction.transformDirection(u), g++; + } else if (R.isRectAreaLight) { + const D = r.rectArea[v]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), a.identity(), o.copy(R.matrixWorld), o.premultiply(u), a.extractRotation(o), D.halfWidth.set(R.width * 0.5, 0, 0), D.halfHeight.set(0, R.height * 0.5, 0), D.halfWidth.applyMatrix4(a), D.halfHeight.applyMatrix4(a), v++; + } else if (R.isPointLight) { + const D = r.point[m]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), m++; + } else if (R.isHemisphereLight) { + const D = r.hemi[f]; + D.direction.setFromMatrixPosition(R.matrixWorld), D.direction.transformDirection(u), f++; + } + } + } + return { + setup: l, + setupView: c, + state: r + }; +} +function Ga(i, e) { + const t = new Bf(i, e), n = [], r = []; + function s() { + n.length = 0, r.length = 0; + } + function o(d) { + n.push(d); + } + function a(d) { + r.push(d); + } + function l(d) { + t.setup(n, d); + } + function c(d) { + t.setupView(n, d); + } + return { + init: s, + state: { + lightsArray: n, + shadowsArray: r, + lights: t + }, + setupLights: l, + setupLightsView: c, + pushLight: o, + pushShadow: a + }; +} +function zf(i, e) { + let t = /* @__PURE__ */ new WeakMap(); + function n(s, o = 0) { + const a = t.get(s); + let l; + return a === void 0 ? (l = new Ga(i, e), t.set(s, [l])) : o >= a.length ? (l = new Ga(i, e), a.push(l)) : l = a[o], l; + } + function r() { + t = /* @__PURE__ */ new WeakMap(); + } + return { + get: n, + dispose: r + }; +} +class Gf extends Mi { + constructor(e) { + super(), this.isMeshDepthMaterial = !0, this.type = "MeshDepthMaterial", this.depthPacking = Nl, this.map = null, this.alphaMap = null, this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.wireframe = !1, this.wireframeLinewidth = 1, this.setValues(e); + } + copy(e) { + return super.copy(e), this.depthPacking = e.depthPacking, this.map = e.map, this.alphaMap = e.alphaMap, this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this; + } +} +class Hf extends Mi { + constructor(e) { + super(), this.isMeshDistanceMaterial = !0, this.type = "MeshDistanceMaterial", this.map = null, this.alphaMap = null, this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.map = e.map, this.alphaMap = e.alphaMap, this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this; + } +} +const Vf = `void main() { + gl_Position = vec4( position, 1.0 ); +}`, kf = `uniform sampler2D shadow_pass; +uniform vec2 resolution; +uniform float radius; +#include +void main() { + const float samples = float( VSM_SAMPLES ); + float mean = 0.0; + float squared_mean = 0.0; + float uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 ); + float uvStart = samples <= 1.0 ? 0.0 : - 1.0; + for ( float i = 0.0; i < samples; i ++ ) { + float uvOffset = uvStart + i * uvStride; + #ifdef HORIZONTAL_PASS + vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) ); + mean += distribution.x; + squared_mean += distribution.y * distribution.y + distribution.x * distribution.x; + #else + float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) ); + mean += depth; + squared_mean += depth * depth; + #endif + } + mean = mean / samples; + squared_mean = squared_mean / samples; + float std_dev = sqrt( squared_mean - mean * mean ); + gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) ); +}`; +function Wf(i, e, t) { + let n = new cs(); + const r = new Ie(), s = new Ie(), o = new $e(), a = new Gf({ depthPacking: Fl }), l = new Hf(), c = {}, h = t.maxTextureSize, d = { [un]: Mt, [Mt]: un, [Kt]: Kt }, p = new wn({ + defines: { + VSM_SAMPLES: 8 + }, + uniforms: { + shadow_pass: { value: null }, + resolution: { value: new Ie() }, + radius: { value: 4 } + }, + vertexShader: Vf, + fragmentShader: kf + }), m = p.clone(); + m.defines.HORIZONTAL_PASS = 1; + const g = new hn(); + g.setAttribute( + "position", + new Bt( + new Float32Array([-1, -1, 0.5, 3, -1, 0.5, -1, 3, 0.5]), + 3 + ) + ); + const v = new Ot(g, p), f = this; + this.enabled = !1, this.autoUpdate = !0, this.needsUpdate = !1, this.type = so; + let u = this.type; + this.render = function(C, A, W) { + if (f.enabled === !1 || f.autoUpdate === !1 && f.needsUpdate === !1 || C.length === 0) return; + const x = i.getRenderTarget(), y = i.getActiveCubeFace(), z = i.getActiveMipmapLevel(), Z = i.state; + Z.setBlending(on), Z.buffers.color.setClear(1, 1, 1, 1), Z.buffers.depth.setTest(!0), Z.setScissorTest(!1); + const re = u !== jt && this.type === jt, L = u === jt && this.type !== jt; + for (let F = 0, V = C.length; F < V; F++) { + const Y = C[F], X = Y.shadow; + if (X === void 0) { + console.warn("THREE.WebGLShadowMap:", Y, "has no shadow."); + continue; + } + if (X.autoUpdate === !1 && X.needsUpdate === !1) continue; + r.copy(X.mapSize); + const k = X.getFrameExtents(); + if (r.multiply(k), s.copy(X.mapSize), (r.x > h || r.y > h) && (r.x > h && (s.x = Math.floor(h / k.x), r.x = s.x * k.x, X.mapSize.x = s.x), r.y > h && (s.y = Math.floor(h / k.y), r.y = s.y * k.y, X.mapSize.y = s.y)), X.map === null || re === !0 || L === !0) { + const Q = this.type !== jt ? { minFilter: gt, magFilter: gt } : {}; + X.map !== null && X.map.dispose(), X.map = new bn(r.x, r.y, Q), X.map.texture.name = Y.name + ".shadowMap", X.camera.updateProjectionMatrix(); + } + i.setRenderTarget(X.map), i.clear(); + const q = X.getViewportCount(); + for (let Q = 0; Q < q; Q++) { + const ce = X.getViewport(Q); + o.set( + s.x * ce.x, + s.y * ce.y, + s.x * ce.z, + s.y * ce.w + ), Z.viewport(o), X.updateMatrices(Y, Q), n = X.getFrustum(), R(A, W, X.camera, Y, this.type); + } + X.isPointLightShadow !== !0 && this.type === jt && b(X, W), X.needsUpdate = !1; + } + u = this.type, f.needsUpdate = !1, i.setRenderTarget(x, y, z); + }; + function b(C, A) { + const W = e.update(v); + p.defines.VSM_SAMPLES !== C.blurSamples && (p.defines.VSM_SAMPLES = C.blurSamples, m.defines.VSM_SAMPLES = C.blurSamples, p.needsUpdate = !0, m.needsUpdate = !0), C.mapPass === null && (C.mapPass = new bn(r.x, r.y)), p.uniforms.shadow_pass.value = C.map.texture, p.uniforms.resolution.value = C.mapSize, p.uniforms.radius.value = C.radius, i.setRenderTarget(C.mapPass), i.clear(), i.renderBufferDirect(A, null, W, p, v, null), m.uniforms.shadow_pass.value = C.mapPass.texture, m.uniforms.resolution.value = C.mapSize, m.uniforms.radius.value = C.radius, i.setRenderTarget(C.map), i.clear(), i.renderBufferDirect(A, null, W, m, v, null); + } + function S(C, A, W, x) { + let y = null; + const z = W.isPointLight === !0 ? C.customDistanceMaterial : C.customDepthMaterial; + if (z !== void 0) + y = z; + else if (y = W.isPointLight === !0 ? l : a, i.localClippingEnabled && A.clipShadows === !0 && Array.isArray(A.clippingPlanes) && A.clippingPlanes.length !== 0 || A.displacementMap && A.displacementScale !== 0 || A.alphaMap && A.alphaTest > 0 || A.map && A.alphaTest > 0) { + const Z = y.uuid, re = A.uuid; + let L = c[Z]; + L === void 0 && (L = {}, c[Z] = L); + let F = L[re]; + F === void 0 && (F = y.clone(), L[re] = F, A.addEventListener("dispose", D)), y = F; + } + if (y.visible = A.visible, y.wireframe = A.wireframe, x === jt ? y.side = A.shadowSide !== null ? A.shadowSide : A.side : y.side = A.shadowSide !== null ? A.shadowSide : d[A.side], y.alphaMap = A.alphaMap, y.alphaTest = A.alphaTest, y.map = A.map, y.clipShadows = A.clipShadows, y.clippingPlanes = A.clippingPlanes, y.clipIntersection = A.clipIntersection, y.displacementMap = A.displacementMap, y.displacementScale = A.displacementScale, y.displacementBias = A.displacementBias, y.wireframeLinewidth = A.wireframeLinewidth, y.linewidth = A.linewidth, W.isPointLight === !0 && y.isMeshDistanceMaterial === !0) { + const Z = i.properties.get(y); + Z.light = W; + } + return y; + } + function R(C, A, W, x, y) { + if (C.visible === !1) return; + if (C.layers.test(A.layers) && (C.isMesh || C.isLine || C.isPoints) && (C.castShadow || C.receiveShadow && y === jt) && (!C.frustumCulled || n.intersectsObject(C))) { + C.modelViewMatrix.multiplyMatrices(W.matrixWorldInverse, C.matrixWorld); + const re = e.update(C), L = C.material; + if (Array.isArray(L)) { + const F = re.groups; + for (let V = 0, Y = F.length; V < Y; V++) { + const X = F[V], k = L[X.materialIndex]; + if (k && k.visible) { + const q = S(C, k, x, y); + C.onBeforeShadow(i, C, A, W, re, q, X), i.renderBufferDirect(W, null, re, q, C, X), C.onAfterShadow(i, C, A, W, re, q, X); + } + } + } else if (L.visible) { + const F = S(C, L, x, y); + C.onBeforeShadow(i, C, A, W, re, F, null), i.renderBufferDirect(W, null, re, F, C, null), C.onAfterShadow(i, C, A, W, re, F, null); + } + } + const Z = C.children; + for (let re = 0, L = Z.length; re < L; re++) + R(Z[re], A, W, x, y); + } + function D(C) { + C.target.removeEventListener("dispose", D); + for (const W in c) { + const x = c[W], y = C.target.uuid; + y in x && (x[y].dispose(), delete x[y]); + } + } +} +function Xf(i, e, t) { + const n = t.isWebGL2; + function r() { + let w = !1; + const ie = new $e(); + let le = null; + const Ce = new $e(0, 0, 0, 0); + return { + setMask: function(Te) { + le !== Te && !w && (i.colorMask(Te, Te, Te, Te), le = Te); + }, + setLocked: function(Te) { + w = Te; + }, + setClear: function(Te, ke, We, et, nt) { + nt === !0 && (Te *= et, ke *= et, We *= et), ie.set(Te, ke, We, et), Ce.equals(ie) === !1 && (i.clearColor(Te, ke, We, et), Ce.copy(ie)); + }, + reset: function() { + w = !1, le = null, Ce.set(-1, 0, 0, 0); + } + }; + } + function s() { + let w = !1, ie = null, le = null, Ce = null; + return { + setTest: function(Te) { + Te ? Ae(i.DEPTH_TEST) : ge(i.DEPTH_TEST); + }, + setMask: function(Te) { + ie !== Te && !w && (i.depthMask(Te), ie = Te); + }, + setFunc: function(Te) { + if (le !== Te) { + switch (Te) { + case hl: + i.depthFunc(i.NEVER); + break; + case dl: + i.depthFunc(i.ALWAYS); + break; + case fl: + i.depthFunc(i.LESS); + break; + case $i: + i.depthFunc(i.LEQUAL); + break; + case pl: + i.depthFunc(i.EQUAL); + break; + case ml: + i.depthFunc(i.GEQUAL); + break; + case _l: + i.depthFunc(i.GREATER); + break; + case gl: + i.depthFunc(i.NOTEQUAL); + break; + default: + i.depthFunc(i.LEQUAL); + } + le = Te; + } + }, + setLocked: function(Te) { + w = Te; + }, + setClear: function(Te) { + Ce !== Te && (i.clearDepth(Te), Ce = Te); + }, + reset: function() { + w = !1, ie = null, le = null, Ce = null; + } + }; + } + function o() { + let w = !1, ie = null, le = null, Ce = null, Te = null, ke = null, We = null, et = null, nt = null; + return { + setTest: function(qe) { + w || (qe ? Ae(i.STENCIL_TEST) : ge(i.STENCIL_TEST)); + }, + setMask: function(qe) { + ie !== qe && !w && (i.stencilMask(qe), ie = qe); + }, + setFunc: function(qe, st, zt) { + (le !== qe || Ce !== st || Te !== zt) && (i.stencilFunc(qe, st, zt), le = qe, Ce = st, Te = zt); + }, + setOp: function(qe, st, zt) { + (ke !== qe || We !== st || et !== zt) && (i.stencilOp(qe, st, zt), ke = qe, We = st, et = zt); + }, + setLocked: function(qe) { + w = qe; + }, + setClear: function(qe) { + nt !== qe && (i.clearStencil(qe), nt = qe); + }, + reset: function() { + w = !1, ie = null, le = null, Ce = null, Te = null, ke = null, We = null, et = null, nt = null; + } + }; + } + const a = new r(), l = new s(), c = new o(), h = /* @__PURE__ */ new WeakMap(), d = /* @__PURE__ */ new WeakMap(); + let p = {}, m = {}, g = /* @__PURE__ */ new WeakMap(), v = [], f = null, u = !1, b = null, S = null, R = null, D = null, C = null, A = null, W = null, x = new Xe(0, 0, 0), y = 0, z = !1, Z = null, re = null, L = null, F = null, V = null; + const Y = i.getParameter(i.MAX_COMBINED_TEXTURE_IMAGE_UNITS); + let X = !1, k = 0; + const q = i.getParameter(i.VERSION); + q.indexOf("WebGL") !== -1 ? (k = parseFloat(/^WebGL (\d)/.exec(q)[1]), X = k >= 1) : q.indexOf("OpenGL ES") !== -1 && (k = parseFloat(/^OpenGL ES (\d)/.exec(q)[1]), X = k >= 2); + let Q = null, ce = {}; + const H = i.getParameter(i.SCISSOR_BOX), j = i.getParameter(i.VIEWPORT), oe = new $e().fromArray(H), ve = new $e().fromArray(j); + function _e(w, ie, le, Ce) { + const Te = new Uint8Array(4), ke = i.createTexture(); + i.bindTexture(w, ke), i.texParameteri(w, i.TEXTURE_MIN_FILTER, i.NEAREST), i.texParameteri(w, i.TEXTURE_MAG_FILTER, i.NEAREST); + for (let We = 0; We < le; We++) + n && (w === i.TEXTURE_3D || w === i.TEXTURE_2D_ARRAY) ? i.texImage3D(ie, 0, i.RGBA, 1, 1, Ce, 0, i.RGBA, i.UNSIGNED_BYTE, Te) : i.texImage2D(ie + We, 0, i.RGBA, 1, 1, 0, i.RGBA, i.UNSIGNED_BYTE, Te); + return ke; + } + const we = {}; + we[i.TEXTURE_2D] = _e(i.TEXTURE_2D, i.TEXTURE_2D, 1), we[i.TEXTURE_CUBE_MAP] = _e(i.TEXTURE_CUBE_MAP, i.TEXTURE_CUBE_MAP_POSITIVE_X, 6), n && (we[i.TEXTURE_2D_ARRAY] = _e(i.TEXTURE_2D_ARRAY, i.TEXTURE_2D_ARRAY, 1, 1), we[i.TEXTURE_3D] = _e(i.TEXTURE_3D, i.TEXTURE_3D, 1, 1)), a.setClear(0, 0, 0, 1), l.setClear(1), c.setClear(0), Ae(i.DEPTH_TEST), l.setFunc($i), be(!1), M(Ss), Ae(i.CULL_FACE), pe(on); + function Ae(w) { + p[w] !== !0 && (i.enable(w), p[w] = !0); + } + function ge(w) { + p[w] !== !1 && (i.disable(w), p[w] = !1); + } + function Pe(w, ie) { + return m[w] !== ie ? (i.bindFramebuffer(w, ie), m[w] = ie, n && (w === i.DRAW_FRAMEBUFFER && (m[i.FRAMEBUFFER] = ie), w === i.FRAMEBUFFER && (m[i.DRAW_FRAMEBUFFER] = ie)), !0) : !1; + } + function N(w, ie) { + let le = v, Ce = !1; + if (w) + if (le = g.get(ie), le === void 0 && (le = [], g.set(ie, le)), w.isWebGLMultipleRenderTargets) { + const Te = w.texture; + if (le.length !== Te.length || le[0] !== i.COLOR_ATTACHMENT0) { + for (let ke = 0, We = Te.length; ke < We; ke++) + le[ke] = i.COLOR_ATTACHMENT0 + ke; + le.length = Te.length, Ce = !0; + } + } else + le[0] !== i.COLOR_ATTACHMENT0 && (le[0] = i.COLOR_ATTACHMENT0, Ce = !0); + else + le[0] !== i.BACK && (le[0] = i.BACK, Ce = !0); + Ce && (t.isWebGL2 ? i.drawBuffers(le) : e.get("WEBGL_draw_buffers").drawBuffersWEBGL(le)); + } + function rt(w) { + return f !== w ? (i.useProgram(w), f = w, !0) : !1; + } + const Me = { + [Mn]: i.FUNC_ADD, + [Zo]: i.FUNC_SUBTRACT, + [$o]: i.FUNC_REVERSE_SUBTRACT + }; + if (n) + Me[bs] = i.MIN, Me[As] = i.MAX; + else { + const w = e.get("EXT_blend_minmax"); + w !== null && (Me[bs] = w.MIN_EXT, Me[As] = w.MAX_EXT); + } + const Re = { + [Jo]: i.ZERO, + [Qo]: i.ONE, + [el]: i.SRC_COLOR, + [Kr]: i.SRC_ALPHA, + [al]: i.SRC_ALPHA_SATURATE, + [rl]: i.DST_COLOR, + [nl]: i.DST_ALPHA, + [tl]: i.ONE_MINUS_SRC_COLOR, + [Zr]: i.ONE_MINUS_SRC_ALPHA, + [sl]: i.ONE_MINUS_DST_COLOR, + [il]: i.ONE_MINUS_DST_ALPHA, + [ol]: i.CONSTANT_COLOR, + [ll]: i.ONE_MINUS_CONSTANT_COLOR, + [cl]: i.CONSTANT_ALPHA, + [ul]: i.ONE_MINUS_CONSTANT_ALPHA + }; + function pe(w, ie, le, Ce, Te, ke, We, et, nt, qe) { + if (w === on) { + u === !0 && (ge(i.BLEND), u = !1); + return; + } + if (u === !1 && (Ae(i.BLEND), u = !0), w !== Ko) { + if (w !== b || qe !== z) { + if ((S !== Mn || C !== Mn) && (i.blendEquation(i.FUNC_ADD), S = Mn, C = Mn), qe) + switch (w) { + case $n: + i.blendFuncSeparate(i.ONE, i.ONE_MINUS_SRC_ALPHA, i.ONE, i.ONE_MINUS_SRC_ALPHA); + break; + case Es: + i.blendFunc(i.ONE, i.ONE); + break; + case ys: + i.blendFuncSeparate(i.ZERO, i.ONE_MINUS_SRC_COLOR, i.ZERO, i.ONE); + break; + case Ts: + i.blendFuncSeparate(i.ZERO, i.SRC_COLOR, i.ZERO, i.SRC_ALPHA); + break; + default: + console.error("THREE.WebGLState: Invalid blending: ", w); + break; + } + else + switch (w) { + case $n: + i.blendFuncSeparate(i.SRC_ALPHA, i.ONE_MINUS_SRC_ALPHA, i.ONE, i.ONE_MINUS_SRC_ALPHA); + break; + case Es: + i.blendFunc(i.SRC_ALPHA, i.ONE); + break; + case ys: + i.blendFuncSeparate(i.ZERO, i.ONE_MINUS_SRC_COLOR, i.ZERO, i.ONE); + break; + case Ts: + i.blendFunc(i.ZERO, i.SRC_COLOR); + break; + default: + console.error("THREE.WebGLState: Invalid blending: ", w); + break; + } + R = null, D = null, A = null, W = null, x.set(0, 0, 0), y = 0, b = w, z = qe; + } + return; + } + Te = Te || ie, ke = ke || le, We = We || Ce, (ie !== S || Te !== C) && (i.blendEquationSeparate(Me[ie], Me[Te]), S = ie, C = Te), (le !== R || Ce !== D || ke !== A || We !== W) && (i.blendFuncSeparate(Re[le], Re[Ce], Re[ke], Re[We]), R = le, D = Ce, A = ke, W = We), (et.equals(x) === !1 || nt !== y) && (i.blendColor(et.r, et.g, et.b, nt), x.copy(et), y = nt), b = w, z = !1; + } + function je(w, ie) { + w.side === Kt ? ge(i.CULL_FACE) : Ae(i.CULL_FACE); + let le = w.side === Mt; + ie && (le = !le), be(le), w.blending === $n && w.transparent === !1 ? pe(on) : pe(w.blending, w.blendEquation, w.blendSrc, w.blendDst, w.blendEquationAlpha, w.blendSrcAlpha, w.blendDstAlpha, w.blendColor, w.blendAlpha, w.premultipliedAlpha), l.setFunc(w.depthFunc), l.setTest(w.depthTest), l.setMask(w.depthWrite), a.setMask(w.colorWrite); + const Ce = w.stencilWrite; + c.setTest(Ce), Ce && (c.setMask(w.stencilWriteMask), c.setFunc(w.stencilFunc, w.stencilRef, w.stencilFuncMask), c.setOp(w.stencilFail, w.stencilZFail, w.stencilZPass)), I(w.polygonOffset, w.polygonOffsetFactor, w.polygonOffsetUnits), w.alphaToCoverage === !0 ? Ae(i.SAMPLE_ALPHA_TO_COVERAGE) : ge(i.SAMPLE_ALPHA_TO_COVERAGE); + } + function be(w) { + Z !== w && (w ? i.frontFace(i.CW) : i.frontFace(i.CCW), Z = w); + } + function M(w) { + w !== Yo ? (Ae(i.CULL_FACE), w !== re && (w === Ss ? i.cullFace(i.BACK) : w === jo ? i.cullFace(i.FRONT) : i.cullFace(i.FRONT_AND_BACK))) : ge(i.CULL_FACE), re = w; + } + function _(w) { + w !== L && (X && i.lineWidth(w), L = w); + } + function I(w, ie, le) { + w ? (Ae(i.POLYGON_OFFSET_FILL), (F !== ie || V !== le) && (i.polygonOffset(ie, le), F = ie, V = le)) : ge(i.POLYGON_OFFSET_FILL); + } + function $(w) { + w ? Ae(i.SCISSOR_TEST) : ge(i.SCISSOR_TEST); + } + function K(w) { + w === void 0 && (w = i.TEXTURE0 + Y - 1), Q !== w && (i.activeTexture(w), Q = w); + } + function J(w, ie, le) { + le === void 0 && (Q === null ? le = i.TEXTURE0 + Y - 1 : le = Q); + let Ce = ce[le]; + Ce === void 0 && (Ce = { type: void 0, texture: void 0 }, ce[le] = Ce), (Ce.type !== w || Ce.texture !== ie) && (Q !== le && (i.activeTexture(le), Q = le), i.bindTexture(w, ie || we[w]), Ce.type = w, Ce.texture = ie); + } + function me() { + const w = ce[Q]; + w !== void 0 && w.type !== void 0 && (i.bindTexture(w.type, null), w.type = void 0, w.texture = void 0); + } + function ae() { + try { + i.compressedTexImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function he() { + try { + i.compressedTexImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ye() { + try { + i.texSubImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Fe() { + try { + i.texSubImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ee() { + try { + i.compressedTexSubImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Ye() { + try { + i.compressedTexSubImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ze() { + try { + i.texStorage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function De() { + try { + i.texStorage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Ee() { + try { + i.texImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ue() { + try { + i.texImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function T(w) { + oe.equals(w) === !1 && (i.scissor(w.x, w.y, w.z, w.w), oe.copy(w)); + } + function ne(w) { + ve.equals(w) === !1 && (i.viewport(w.x, w.y, w.z, w.w), ve.copy(w)); + } + function xe(w, ie) { + let le = d.get(ie); + le === void 0 && (le = /* @__PURE__ */ new WeakMap(), d.set(ie, le)); + let Ce = le.get(w); + Ce === void 0 && (Ce = i.getUniformBlockIndex(ie, w.name), le.set(w, Ce)); + } + function fe(w, ie) { + const Ce = d.get(ie).get(w); + h.get(ie) !== Ce && (i.uniformBlockBinding(ie, Ce, w.__bindingPointIndex), h.set(ie, Ce)); + } + function te() { + i.disable(i.BLEND), i.disable(i.CULL_FACE), i.disable(i.DEPTH_TEST), i.disable(i.POLYGON_OFFSET_FILL), i.disable(i.SCISSOR_TEST), i.disable(i.STENCIL_TEST), i.disable(i.SAMPLE_ALPHA_TO_COVERAGE), i.blendEquation(i.FUNC_ADD), i.blendFunc(i.ONE, i.ZERO), i.blendFuncSeparate(i.ONE, i.ZERO, i.ONE, i.ZERO), i.blendColor(0, 0, 0, 0), i.colorMask(!0, !0, !0, !0), i.clearColor(0, 0, 0, 0), i.depthMask(!0), i.depthFunc(i.LESS), i.clearDepth(1), i.stencilMask(4294967295), i.stencilFunc(i.ALWAYS, 0, 4294967295), i.stencilOp(i.KEEP, i.KEEP, i.KEEP), i.clearStencil(0), i.cullFace(i.BACK), i.frontFace(i.CCW), i.polygonOffset(0, 0), i.activeTexture(i.TEXTURE0), i.bindFramebuffer(i.FRAMEBUFFER, null), n === !0 && (i.bindFramebuffer(i.DRAW_FRAMEBUFFER, null), i.bindFramebuffer(i.READ_FRAMEBUFFER, null)), i.useProgram(null), i.lineWidth(1), i.scissor(0, 0, i.canvas.width, i.canvas.height), i.viewport(0, 0, i.canvas.width, i.canvas.height), p = {}, Q = null, ce = {}, m = {}, g = /* @__PURE__ */ new WeakMap(), v = [], f = null, u = !1, b = null, S = null, R = null, D = null, C = null, A = null, W = null, x = new Xe(0, 0, 0), y = 0, z = !1, Z = null, re = null, L = null, F = null, V = null, oe.set(0, 0, i.canvas.width, i.canvas.height), ve.set(0, 0, i.canvas.width, i.canvas.height), a.reset(), l.reset(), c.reset(); + } + return { + buffers: { + color: a, + depth: l, + stencil: c + }, + enable: Ae, + disable: ge, + bindFramebuffer: Pe, + drawBuffers: N, + useProgram: rt, + setBlending: pe, + setMaterial: je, + setFlipSided: be, + setCullFace: M, + setLineWidth: _, + setPolygonOffset: I, + setScissorTest: $, + activeTexture: K, + bindTexture: J, + unbindTexture: me, + compressedTexImage2D: ae, + compressedTexImage3D: he, + texImage2D: Ee, + texImage3D: ue, + updateUBOMapping: xe, + uniformBlockBinding: fe, + texStorage2D: ze, + texStorage3D: De, + texSubImage2D: ye, + texSubImage3D: Fe, + compressedTexSubImage2D: ee, + compressedTexSubImage3D: Ye, + scissor: T, + viewport: ne, + reset: te + }; +} +function qf(i, e, t, n, r, s, o) { + const a = r.isWebGL2, l = e.has("WEBGL_multisampled_render_to_texture") ? e.get("WEBGL_multisampled_render_to_texture") : null, c = typeof navigator > "u" ? !1 : /OculusBrowser/g.test(navigator.userAgent), h = /* @__PURE__ */ new WeakMap(); + let d; + const p = /* @__PURE__ */ new WeakMap(); + let m = !1; + try { + m = typeof OffscreenCanvas < "u" && new OffscreenCanvas(1, 1).getContext("2d") !== null; + } catch { + } + function g(M, _) { + return m ? ( + // eslint-disable-next-line compat/compat + new OffscreenCanvas(M, _) + ) : nr("canvas"); + } + function v(M, _, I, $) { + let K = 1; + if ((M.width > $ || M.height > $) && (K = $ / Math.max(M.width, M.height)), K < 1 || _ === !0) + if (typeof HTMLImageElement < "u" && M instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && M instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && M instanceof ImageBitmap) { + const J = _ ? is : Math.floor, me = J(K * M.width), ae = J(K * M.height); + d === void 0 && (d = g(me, ae)); + const he = I ? g(me, ae) : d; + return he.width = me, he.height = ae, he.getContext("2d").drawImage(M, 0, 0, me, ae), console.warn("THREE.WebGLRenderer: Texture has been resized from (" + M.width + "x" + M.height + ") to (" + me + "x" + ae + ")."), he; + } else + return "data" in M && console.warn("THREE.WebGLRenderer: Image in DataTexture is too big (" + M.width + "x" + M.height + ")."), M; + return M; + } + function f(M) { + return na(M.width) && na(M.height); + } + function u(M) { + return a ? !1 : M.wrapS !== Nt || M.wrapT !== Nt || M.minFilter !== gt && M.minFilter !== Rt; + } + function b(M, _) { + return M.generateMipmaps && _ && M.minFilter !== gt && M.minFilter !== Rt; + } + function S(M) { + i.generateMipmap(M); + } + function R(M, _, I, $, K = !1) { + if (a === !1) return _; + if (M !== null) { + if (i[M] !== void 0) return i[M]; + console.warn("THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '" + M + "'"); + } + let J = _; + if (_ === i.RED && (I === i.FLOAT && (J = i.R32F), I === i.HALF_FLOAT && (J = i.R16F), I === i.UNSIGNED_BYTE && (J = i.R8)), _ === i.RED_INTEGER && (I === i.UNSIGNED_BYTE && (J = i.R8UI), I === i.UNSIGNED_SHORT && (J = i.R16UI), I === i.UNSIGNED_INT && (J = i.R32UI), I === i.BYTE && (J = i.R8I), I === i.SHORT && (J = i.R16I), I === i.INT && (J = i.R32I)), _ === i.RG && (I === i.FLOAT && (J = i.RG32F), I === i.HALF_FLOAT && (J = i.RG16F), I === i.UNSIGNED_BYTE && (J = i.RG8)), _ === i.RGBA) { + const me = K ? Ji : Ke.getTransfer($); + I === i.FLOAT && (J = i.RGBA32F), I === i.HALF_FLOAT && (J = i.RGBA16F), I === i.UNSIGNED_BYTE && (J = me === Ze ? i.SRGB8_ALPHA8 : i.RGBA8), I === i.UNSIGNED_SHORT_4_4_4_4 && (J = i.RGBA4), I === i.UNSIGNED_SHORT_5_5_5_1 && (J = i.RGB5_A1); + } + return (J === i.R16F || J === i.R32F || J === i.RG16F || J === i.RG32F || J === i.RGBA16F || J === i.RGBA32F) && e.get("EXT_color_buffer_float"), J; + } + function D(M, _, I) { + return b(M, I) === !0 || M.isFramebufferTexture && M.minFilter !== gt && M.minFilter !== Rt ? Math.log2(Math.max(_.width, _.height)) + 1 : M.mipmaps !== void 0 && M.mipmaps.length > 0 ? M.mipmaps.length : M.isCompressedTexture && Array.isArray(M.image) ? _.mipmaps.length : 1; + } + function C(M) { + return M === gt || M === ws || M === pr ? i.NEAREST : i.LINEAR; + } + function A(M) { + const _ = M.target; + _.removeEventListener("dispose", A), x(_), _.isVideoTexture && h.delete(_); + } + function W(M) { + const _ = M.target; + _.removeEventListener("dispose", W), z(_); + } + function x(M) { + const _ = n.get(M); + if (_.__webglInit === void 0) return; + const I = M.source, $ = p.get(I); + if ($) { + const K = $[_.__cacheKey]; + K.usedTimes--, K.usedTimes === 0 && y(M), Object.keys($).length === 0 && p.delete(I); + } + n.remove(M); + } + function y(M) { + const _ = n.get(M); + i.deleteTexture(_.__webglTexture); + const I = M.source, $ = p.get(I); + delete $[_.__cacheKey], o.memory.textures--; + } + function z(M) { + const _ = M.texture, I = n.get(M), $ = n.get(_); + if ($.__webglTexture !== void 0 && (i.deleteTexture($.__webglTexture), o.memory.textures--), M.depthTexture && M.depthTexture.dispose(), M.isWebGLCubeRenderTarget) + for (let K = 0; K < 6; K++) { + if (Array.isArray(I.__webglFramebuffer[K])) + for (let J = 0; J < I.__webglFramebuffer[K].length; J++) i.deleteFramebuffer(I.__webglFramebuffer[K][J]); + else + i.deleteFramebuffer(I.__webglFramebuffer[K]); + I.__webglDepthbuffer && i.deleteRenderbuffer(I.__webglDepthbuffer[K]); + } + else { + if (Array.isArray(I.__webglFramebuffer)) + for (let K = 0; K < I.__webglFramebuffer.length; K++) i.deleteFramebuffer(I.__webglFramebuffer[K]); + else + i.deleteFramebuffer(I.__webglFramebuffer); + if (I.__webglDepthbuffer && i.deleteRenderbuffer(I.__webglDepthbuffer), I.__webglMultisampledFramebuffer && i.deleteFramebuffer(I.__webglMultisampledFramebuffer), I.__webglColorRenderbuffer) + for (let K = 0; K < I.__webglColorRenderbuffer.length; K++) + I.__webglColorRenderbuffer[K] && i.deleteRenderbuffer(I.__webglColorRenderbuffer[K]); + I.__webglDepthRenderbuffer && i.deleteRenderbuffer(I.__webglDepthRenderbuffer); + } + if (M.isWebGLMultipleRenderTargets) + for (let K = 0, J = _.length; K < J; K++) { + const me = n.get(_[K]); + me.__webglTexture && (i.deleteTexture(me.__webglTexture), o.memory.textures--), n.remove(_[K]); + } + n.remove(_), n.remove(M); + } + let Z = 0; + function re() { + Z = 0; + } + function L() { + const M = Z; + return M >= r.maxTextures && console.warn("THREE.WebGLTextures: Trying to use " + M + " texture units while this GPU supports only " + r.maxTextures), Z += 1, M; + } + function F(M) { + const _ = []; + return _.push(M.wrapS), _.push(M.wrapT), _.push(M.wrapR || 0), _.push(M.magFilter), _.push(M.minFilter), _.push(M.anisotropy), _.push(M.internalFormat), _.push(M.format), _.push(M.type), _.push(M.generateMipmaps), _.push(M.premultiplyAlpha), _.push(M.flipY), _.push(M.unpackAlignment), _.push(M.colorSpace), _.join(); + } + function V(M, _) { + const I = n.get(M); + if (M.isVideoTexture && je(M), M.isRenderTargetTexture === !1 && M.version > 0 && I.__version !== M.version) { + const $ = M.image; + if ($ === null) + console.warn("THREE.WebGLRenderer: Texture marked for update but no image data found."); + else if ($.complete === !1) + console.warn("THREE.WebGLRenderer: Texture marked for update but image is incomplete"); + else { + oe(I, M, _); + return; + } + } + t.bindTexture(i.TEXTURE_2D, I.__webglTexture, i.TEXTURE0 + _); + } + function Y(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + oe(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_2D_ARRAY, I.__webglTexture, i.TEXTURE0 + _); + } + function X(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + oe(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_3D, I.__webglTexture, i.TEXTURE0 + _); + } + function k(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + ve(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_CUBE_MAP, I.__webglTexture, i.TEXTURE0 + _); + } + const q = { + [Qr]: i.REPEAT, + [Nt]: i.CLAMP_TO_EDGE, + [es]: i.MIRRORED_REPEAT + }, Q = { + [gt]: i.NEAREST, + [ws]: i.NEAREST_MIPMAP_NEAREST, + [pr]: i.NEAREST_MIPMAP_LINEAR, + [Rt]: i.LINEAR, + [Al]: i.LINEAR_MIPMAP_NEAREST, + [_i]: i.LINEAR_MIPMAP_LINEAR + }, ce = { + [Bl]: i.NEVER, + [Wl]: i.ALWAYS, + [zl]: i.LESS, + [xo]: i.LEQUAL, + [Gl]: i.EQUAL, + [kl]: i.GEQUAL, + [Hl]: i.GREATER, + [Vl]: i.NOTEQUAL + }; + function H(M, _, I) { + if (I ? (i.texParameteri(M, i.TEXTURE_WRAP_S, q[_.wrapS]), i.texParameteri(M, i.TEXTURE_WRAP_T, q[_.wrapT]), (M === i.TEXTURE_3D || M === i.TEXTURE_2D_ARRAY) && i.texParameteri(M, i.TEXTURE_WRAP_R, q[_.wrapR]), i.texParameteri(M, i.TEXTURE_MAG_FILTER, Q[_.magFilter]), i.texParameteri(M, i.TEXTURE_MIN_FILTER, Q[_.minFilter])) : (i.texParameteri(M, i.TEXTURE_WRAP_S, i.CLAMP_TO_EDGE), i.texParameteri(M, i.TEXTURE_WRAP_T, i.CLAMP_TO_EDGE), (M === i.TEXTURE_3D || M === i.TEXTURE_2D_ARRAY) && i.texParameteri(M, i.TEXTURE_WRAP_R, i.CLAMP_TO_EDGE), (_.wrapS !== Nt || _.wrapT !== Nt) && console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping."), i.texParameteri(M, i.TEXTURE_MAG_FILTER, C(_.magFilter)), i.texParameteri(M, i.TEXTURE_MIN_FILTER, C(_.minFilter)), _.minFilter !== gt && _.minFilter !== Rt && console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.")), _.compareFunction && (i.texParameteri(M, i.TEXTURE_COMPARE_MODE, i.COMPARE_REF_TO_TEXTURE), i.texParameteri(M, i.TEXTURE_COMPARE_FUNC, ce[_.compareFunction])), e.has("EXT_texture_filter_anisotropic") === !0) { + const $ = e.get("EXT_texture_filter_anisotropic"); + if (_.magFilter === gt || _.minFilter !== pr && _.minFilter !== _i || _.type === an && e.has("OES_texture_float_linear") === !1 || a === !1 && _.type === gi && e.has("OES_texture_half_float_linear") === !1) return; + (_.anisotropy > 1 || n.get(_).__currentAnisotropy) && (i.texParameterf(M, $.TEXTURE_MAX_ANISOTROPY_EXT, Math.min(_.anisotropy, r.getMaxAnisotropy())), n.get(_).__currentAnisotropy = _.anisotropy); + } + } + function j(M, _) { + let I = !1; + M.__webglInit === void 0 && (M.__webglInit = !0, _.addEventListener("dispose", A)); + const $ = _.source; + let K = p.get($); + K === void 0 && (K = {}, p.set($, K)); + const J = F(_); + if (J !== M.__cacheKey) { + K[J] === void 0 && (K[J] = { + texture: i.createTexture(), + usedTimes: 0 + }, o.memory.textures++, I = !0), K[J].usedTimes++; + const me = K[M.__cacheKey]; + me !== void 0 && (K[M.__cacheKey].usedTimes--, me.usedTimes === 0 && y(_)), M.__cacheKey = J, M.__webglTexture = K[J].texture; + } + return I; + } + function oe(M, _, I) { + let $ = i.TEXTURE_2D; + (_.isDataArrayTexture || _.isCompressedArrayTexture) && ($ = i.TEXTURE_2D_ARRAY), _.isData3DTexture && ($ = i.TEXTURE_3D); + const K = j(M, _), J = _.source; + t.bindTexture($, M.__webglTexture, i.TEXTURE0 + I); + const me = n.get(J); + if (J.version !== me.__version || K === !0) { + t.activeTexture(i.TEXTURE0 + I); + const ae = Ke.getPrimaries(Ke.workingColorSpace), he = _.colorSpace === Ct ? null : Ke.getPrimaries(_.colorSpace), ye = _.colorSpace === Ct || ae === he ? i.NONE : i.BROWSER_DEFAULT_WEBGL; + i.pixelStorei(i.UNPACK_FLIP_Y_WEBGL, _.flipY), i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL, _.premultiplyAlpha), i.pixelStorei(i.UNPACK_ALIGNMENT, _.unpackAlignment), i.pixelStorei(i.UNPACK_COLORSPACE_CONVERSION_WEBGL, ye); + const Fe = u(_) && f(_.image) === !1; + let ee = v(_.image, Fe, !1, r.maxTextureSize); + ee = be(_, ee); + const Ye = f(ee) || a, ze = s.convert(_.format, _.colorSpace); + let De = s.convert(_.type), Ee = R(_.internalFormat, ze, De, _.colorSpace, _.isVideoTexture); + H($, _, Ye); + let ue; + const T = _.mipmaps, ne = a && _.isVideoTexture !== !0 && Ee !== _o, xe = me.__version === void 0 || K === !0, fe = D(_, ee, Ye); + if (_.isDepthTexture) + Ee = i.DEPTH_COMPONENT, a ? _.type === an ? Ee = i.DEPTH_COMPONENT32F : _.type === sn ? Ee = i.DEPTH_COMPONENT24 : _.type === En ? Ee = i.DEPTH24_STENCIL8 : Ee = i.DEPTH_COMPONENT16 : _.type === an && console.error("WebGLRenderer: Floating point depth texture requires WebGL2."), _.format === yn && Ee === i.DEPTH_COMPONENT && _.type !== as && _.type !== sn && (console.warn("THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture."), _.type = sn, De = s.convert(_.type)), _.format === ti && Ee === i.DEPTH_COMPONENT && (Ee = i.DEPTH_STENCIL, _.type !== En && (console.warn("THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture."), _.type = En, De = s.convert(_.type))), xe && (ne ? t.texStorage2D(i.TEXTURE_2D, 1, Ee, ee.width, ee.height) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ee.width, ee.height, 0, ze, De, null)); + else if (_.isDataTexture) + if (T.length > 0 && Ye) { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, De, ue.data) : t.texImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ze, De, ue.data); + _.generateMipmaps = !1; + } else + ne ? (xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height), t.texSubImage2D(i.TEXTURE_2D, 0, 0, 0, ee.width, ee.height, ze, De, ee.data)) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ee.width, ee.height, 0, ze, De, ee.data); + else if (_.isCompressedTexture) + if (_.isCompressedArrayTexture) { + ne && xe && t.texStorage3D(i.TEXTURE_2D_ARRAY, fe, Ee, T[0].width, T[0].height, ee.depth); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], _.format !== Ft ? ze !== null ? ne ? t.compressedTexSubImage3D(i.TEXTURE_2D_ARRAY, te, 0, 0, 0, ue.width, ue.height, ee.depth, ze, ue.data, 0, 0) : t.compressedTexImage3D(i.TEXTURE_2D_ARRAY, te, Ee, ue.width, ue.height, ee.depth, 0, ue.data, 0, 0) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()") : ne ? t.texSubImage3D(i.TEXTURE_2D_ARRAY, te, 0, 0, 0, ue.width, ue.height, ee.depth, ze, De, ue.data) : t.texImage3D(i.TEXTURE_2D_ARRAY, te, Ee, ue.width, ue.height, ee.depth, 0, ze, De, ue.data); + } else { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], _.format !== Ft ? ze !== null ? ne ? t.compressedTexSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, ue.data) : t.compressedTexImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ue.data) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()") : ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, De, ue.data) : t.texImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ze, De, ue.data); + } + else if (_.isDataArrayTexture) + ne ? (xe && t.texStorage3D(i.TEXTURE_2D_ARRAY, fe, Ee, ee.width, ee.height, ee.depth), t.texSubImage3D(i.TEXTURE_2D_ARRAY, 0, 0, 0, 0, ee.width, ee.height, ee.depth, ze, De, ee.data)) : t.texImage3D(i.TEXTURE_2D_ARRAY, 0, Ee, ee.width, ee.height, ee.depth, 0, ze, De, ee.data); + else if (_.isData3DTexture) + ne ? (xe && t.texStorage3D(i.TEXTURE_3D, fe, Ee, ee.width, ee.height, ee.depth), t.texSubImage3D(i.TEXTURE_3D, 0, 0, 0, 0, ee.width, ee.height, ee.depth, ze, De, ee.data)) : t.texImage3D(i.TEXTURE_3D, 0, Ee, ee.width, ee.height, ee.depth, 0, ze, De, ee.data); + else if (_.isFramebufferTexture) { + if (xe) + if (ne) + t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height); + else { + let te = ee.width, w = ee.height; + for (let ie = 0; ie < fe; ie++) + t.texImage2D(i.TEXTURE_2D, ie, Ee, te, w, 0, ze, De, null), te >>= 1, w >>= 1; + } + } else if (T.length > 0 && Ye) { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ze, De, ue) : t.texImage2D(i.TEXTURE_2D, te, Ee, ze, De, ue); + _.generateMipmaps = !1; + } else + ne ? (xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height), t.texSubImage2D(i.TEXTURE_2D, 0, 0, 0, ze, De, ee)) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ze, De, ee); + b(_, Ye) && S($), me.__version = J.version, _.onUpdate && _.onUpdate(_); + } + M.__version = _.version; + } + function ve(M, _, I) { + if (_.image.length !== 6) return; + const $ = j(M, _), K = _.source; + t.bindTexture(i.TEXTURE_CUBE_MAP, M.__webglTexture, i.TEXTURE0 + I); + const J = n.get(K); + if (K.version !== J.__version || $ === !0) { + t.activeTexture(i.TEXTURE0 + I); + const me = Ke.getPrimaries(Ke.workingColorSpace), ae = _.colorSpace === Ct ? null : Ke.getPrimaries(_.colorSpace), he = _.colorSpace === Ct || me === ae ? i.NONE : i.BROWSER_DEFAULT_WEBGL; + i.pixelStorei(i.UNPACK_FLIP_Y_WEBGL, _.flipY), i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL, _.premultiplyAlpha), i.pixelStorei(i.UNPACK_ALIGNMENT, _.unpackAlignment), i.pixelStorei(i.UNPACK_COLORSPACE_CONVERSION_WEBGL, he); + const ye = _.isCompressedTexture || _.image[0].isCompressedTexture, Fe = _.image[0] && _.image[0].isDataTexture, ee = []; + for (let te = 0; te < 6; te++) + !ye && !Fe ? ee[te] = v(_.image[te], !1, !0, r.maxCubemapSize) : ee[te] = Fe ? _.image[te].image : _.image[te], ee[te] = be(_, ee[te]); + const Ye = ee[0], ze = f(Ye) || a, De = s.convert(_.format, _.colorSpace), Ee = s.convert(_.type), ue = R(_.internalFormat, De, Ee, _.colorSpace), T = a && _.isVideoTexture !== !0, ne = J.__version === void 0 || $ === !0; + let xe = D(_, Ye, ze); + H(i.TEXTURE_CUBE_MAP, _, ze); + let fe; + if (ye) { + T && ne && t.texStorage2D(i.TEXTURE_CUBE_MAP, xe, ue, Ye.width, Ye.height); + for (let te = 0; te < 6; te++) { + fe = ee[te].mipmaps; + for (let w = 0; w < fe.length; w++) { + const ie = fe[w]; + _.format !== Ft ? De !== null ? T ? t.compressedTexSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, 0, 0, ie.width, ie.height, De, ie.data) : t.compressedTexImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, ue, ie.width, ie.height, 0, ie.data) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()") : T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, 0, 0, ie.width, ie.height, De, Ee, ie.data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, ue, ie.width, ie.height, 0, De, Ee, ie.data); + } + } + } else { + fe = _.mipmaps, T && ne && (fe.length > 0 && xe++, t.texStorage2D(i.TEXTURE_CUBE_MAP, xe, ue, ee[0].width, ee[0].height)); + for (let te = 0; te < 6; te++) + if (Fe) { + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, 0, 0, ee[te].width, ee[te].height, De, Ee, ee[te].data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, ue, ee[te].width, ee[te].height, 0, De, Ee, ee[te].data); + for (let w = 0; w < fe.length; w++) { + const le = fe[w].image[te].image; + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, 0, 0, le.width, le.height, De, Ee, le.data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, ue, le.width, le.height, 0, De, Ee, le.data); + } + } else { + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, 0, 0, De, Ee, ee[te]) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, ue, De, Ee, ee[te]); + for (let w = 0; w < fe.length; w++) { + const ie = fe[w]; + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, 0, 0, De, Ee, ie.image[te]) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, ue, De, Ee, ie.image[te]); + } + } + } + b(_, ze) && S(i.TEXTURE_CUBE_MAP), J.__version = K.version, _.onUpdate && _.onUpdate(_); + } + M.__version = _.version; + } + function _e(M, _, I, $, K, J) { + const me = s.convert(I.format, I.colorSpace), ae = s.convert(I.type), he = R(I.internalFormat, me, ae, I.colorSpace); + if (!n.get(_).__hasExternalTextures) { + const Fe = Math.max(1, _.width >> J), ee = Math.max(1, _.height >> J); + K === i.TEXTURE_3D || K === i.TEXTURE_2D_ARRAY ? t.texImage3D(K, J, he, Fe, ee, _.depth, 0, me, ae, null) : t.texImage2D(K, J, he, Fe, ee, 0, me, ae, null); + } + t.bindFramebuffer(i.FRAMEBUFFER, M), pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, $, K, n.get(I).__webglTexture, 0, Re(_)) : (K === i.TEXTURE_2D || K >= i.TEXTURE_CUBE_MAP_POSITIVE_X && K <= i.TEXTURE_CUBE_MAP_NEGATIVE_Z) && i.framebufferTexture2D(i.FRAMEBUFFER, $, K, n.get(I).__webglTexture, J), t.bindFramebuffer(i.FRAMEBUFFER, null); + } + function we(M, _, I) { + if (i.bindRenderbuffer(i.RENDERBUFFER, M), _.depthBuffer && !_.stencilBuffer) { + let $ = a === !0 ? i.DEPTH_COMPONENT24 : i.DEPTH_COMPONENT16; + if (I || pe(_)) { + const K = _.depthTexture; + K && K.isDepthTexture && (K.type === an ? $ = i.DEPTH_COMPONENT32F : K.type === sn && ($ = i.DEPTH_COMPONENT24)); + const J = Re(_); + pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, J, $, _.width, _.height) : i.renderbufferStorageMultisample(i.RENDERBUFFER, J, $, _.width, _.height); + } else + i.renderbufferStorage(i.RENDERBUFFER, $, _.width, _.height); + i.framebufferRenderbuffer(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.RENDERBUFFER, M); + } else if (_.depthBuffer && _.stencilBuffer) { + const $ = Re(_); + I && pe(_) === !1 ? i.renderbufferStorageMultisample(i.RENDERBUFFER, $, i.DEPTH24_STENCIL8, _.width, _.height) : pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, $, i.DEPTH24_STENCIL8, _.width, _.height) : i.renderbufferStorage(i.RENDERBUFFER, i.DEPTH_STENCIL, _.width, _.height), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.RENDERBUFFER, M); + } else { + const $ = _.isWebGLMultipleRenderTargets === !0 ? _.texture : [_.texture]; + for (let K = 0; K < $.length; K++) { + const J = $[K], me = s.convert(J.format, J.colorSpace), ae = s.convert(J.type), he = R(J.internalFormat, me, ae, J.colorSpace), ye = Re(_); + I && pe(_) === !1 ? i.renderbufferStorageMultisample(i.RENDERBUFFER, ye, he, _.width, _.height) : pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, ye, he, _.width, _.height) : i.renderbufferStorage(i.RENDERBUFFER, he, _.width, _.height); + } + } + i.bindRenderbuffer(i.RENDERBUFFER, null); + } + function Ae(M, _) { + if (_ && _.isWebGLCubeRenderTarget) throw new Error("Depth Texture with cube render targets is not supported"); + if (t.bindFramebuffer(i.FRAMEBUFFER, M), !(_.depthTexture && _.depthTexture.isDepthTexture)) + throw new Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture"); + (!n.get(_.depthTexture).__webglTexture || _.depthTexture.image.width !== _.width || _.depthTexture.image.height !== _.height) && (_.depthTexture.image.width = _.width, _.depthTexture.image.height = _.height, _.depthTexture.needsUpdate = !0), V(_.depthTexture, 0); + const $ = n.get(_.depthTexture).__webglTexture, K = Re(_); + if (_.depthTexture.format === yn) + pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.TEXTURE_2D, $, 0, K) : i.framebufferTexture2D(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.TEXTURE_2D, $, 0); + else if (_.depthTexture.format === ti) + pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.TEXTURE_2D, $, 0, K) : i.framebufferTexture2D(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.TEXTURE_2D, $, 0); + else + throw new Error("Unknown depthTexture format"); + } + function ge(M) { + const _ = n.get(M), I = M.isWebGLCubeRenderTarget === !0; + if (M.depthTexture && !_.__autoAllocateDepthBuffer) { + if (I) throw new Error("target.depthTexture not supported in Cube render targets"); + Ae(_.__webglFramebuffer, M); + } else if (I) { + _.__webglDepthbuffer = []; + for (let $ = 0; $ < 6; $++) + t.bindFramebuffer(i.FRAMEBUFFER, _.__webglFramebuffer[$]), _.__webglDepthbuffer[$] = i.createRenderbuffer(), we(_.__webglDepthbuffer[$], M, !1); + } else + t.bindFramebuffer(i.FRAMEBUFFER, _.__webglFramebuffer), _.__webglDepthbuffer = i.createRenderbuffer(), we(_.__webglDepthbuffer, M, !1); + t.bindFramebuffer(i.FRAMEBUFFER, null); + } + function Pe(M, _, I) { + const $ = n.get(M); + _ !== void 0 && _e($.__webglFramebuffer, M, M.texture, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, 0), I !== void 0 && ge(M); + } + function N(M) { + const _ = M.texture, I = n.get(M), $ = n.get(_); + M.addEventListener("dispose", W), M.isWebGLMultipleRenderTargets !== !0 && ($.__webglTexture === void 0 && ($.__webglTexture = i.createTexture()), $.__version = _.version, o.memory.textures++); + const K = M.isWebGLCubeRenderTarget === !0, J = M.isWebGLMultipleRenderTargets === !0, me = f(M) || a; + if (K) { + I.__webglFramebuffer = []; + for (let ae = 0; ae < 6; ae++) + if (a && _.mipmaps && _.mipmaps.length > 0) { + I.__webglFramebuffer[ae] = []; + for (let he = 0; he < _.mipmaps.length; he++) + I.__webglFramebuffer[ae][he] = i.createFramebuffer(); + } else + I.__webglFramebuffer[ae] = i.createFramebuffer(); + } else { + if (a && _.mipmaps && _.mipmaps.length > 0) { + I.__webglFramebuffer = []; + for (let ae = 0; ae < _.mipmaps.length; ae++) + I.__webglFramebuffer[ae] = i.createFramebuffer(); + } else + I.__webglFramebuffer = i.createFramebuffer(); + if (J) + if (r.drawBuffers) { + const ae = M.texture; + for (let he = 0, ye = ae.length; he < ye; he++) { + const Fe = n.get(ae[he]); + Fe.__webglTexture === void 0 && (Fe.__webglTexture = i.createTexture(), o.memory.textures++); + } + } else + console.warn("THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension."); + if (a && M.samples > 0 && pe(M) === !1) { + const ae = J ? _ : [_]; + I.__webglMultisampledFramebuffer = i.createFramebuffer(), I.__webglColorRenderbuffer = [], t.bindFramebuffer(i.FRAMEBUFFER, I.__webglMultisampledFramebuffer); + for (let he = 0; he < ae.length; he++) { + const ye = ae[he]; + I.__webglColorRenderbuffer[he] = i.createRenderbuffer(), i.bindRenderbuffer(i.RENDERBUFFER, I.__webglColorRenderbuffer[he]); + const Fe = s.convert(ye.format, ye.colorSpace), ee = s.convert(ye.type), Ye = R(ye.internalFormat, Fe, ee, ye.colorSpace, M.isXRRenderTarget === !0), ze = Re(M); + i.renderbufferStorageMultisample(i.RENDERBUFFER, ze, Ye, M.width, M.height), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + he, i.RENDERBUFFER, I.__webglColorRenderbuffer[he]); + } + i.bindRenderbuffer(i.RENDERBUFFER, null), M.depthBuffer && (I.__webglDepthRenderbuffer = i.createRenderbuffer(), we(I.__webglDepthRenderbuffer, M, !0)), t.bindFramebuffer(i.FRAMEBUFFER, null); + } + } + if (K) { + t.bindTexture(i.TEXTURE_CUBE_MAP, $.__webglTexture), H(i.TEXTURE_CUBE_MAP, _, me); + for (let ae = 0; ae < 6; ae++) + if (a && _.mipmaps && _.mipmaps.length > 0) + for (let he = 0; he < _.mipmaps.length; he++) + _e(I.__webglFramebuffer[ae][he], M, _, i.COLOR_ATTACHMENT0, i.TEXTURE_CUBE_MAP_POSITIVE_X + ae, he); + else + _e(I.__webglFramebuffer[ae], M, _, i.COLOR_ATTACHMENT0, i.TEXTURE_CUBE_MAP_POSITIVE_X + ae, 0); + b(_, me) && S(i.TEXTURE_CUBE_MAP), t.unbindTexture(); + } else if (J) { + const ae = M.texture; + for (let he = 0, ye = ae.length; he < ye; he++) { + const Fe = ae[he], ee = n.get(Fe); + t.bindTexture(i.TEXTURE_2D, ee.__webglTexture), H(i.TEXTURE_2D, Fe, me), _e(I.__webglFramebuffer, M, Fe, i.COLOR_ATTACHMENT0 + he, i.TEXTURE_2D, 0), b(Fe, me) && S(i.TEXTURE_2D); + } + t.unbindTexture(); + } else { + let ae = i.TEXTURE_2D; + if ((M.isWebGL3DRenderTarget || M.isWebGLArrayRenderTarget) && (a ? ae = M.isWebGL3DRenderTarget ? i.TEXTURE_3D : i.TEXTURE_2D_ARRAY : console.error("THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.")), t.bindTexture(ae, $.__webglTexture), H(ae, _, me), a && _.mipmaps && _.mipmaps.length > 0) + for (let he = 0; he < _.mipmaps.length; he++) + _e(I.__webglFramebuffer[he], M, _, i.COLOR_ATTACHMENT0, ae, he); + else + _e(I.__webglFramebuffer, M, _, i.COLOR_ATTACHMENT0, ae, 0); + b(_, me) && S(ae), t.unbindTexture(); + } + M.depthBuffer && ge(M); + } + function rt(M) { + const _ = f(M) || a, I = M.isWebGLMultipleRenderTargets === !0 ? M.texture : [M.texture]; + for (let $ = 0, K = I.length; $ < K; $++) { + const J = I[$]; + if (b(J, _)) { + const me = M.isWebGLCubeRenderTarget ? i.TEXTURE_CUBE_MAP : i.TEXTURE_2D, ae = n.get(J).__webglTexture; + t.bindTexture(me, ae), S(me), t.unbindTexture(); + } + } + } + function Me(M) { + if (a && M.samples > 0 && pe(M) === !1) { + const _ = M.isWebGLMultipleRenderTargets ? M.texture : [M.texture], I = M.width, $ = M.height; + let K = i.COLOR_BUFFER_BIT; + const J = [], me = M.stencilBuffer ? i.DEPTH_STENCIL_ATTACHMENT : i.DEPTH_ATTACHMENT, ae = n.get(M), he = M.isWebGLMultipleRenderTargets === !0; + if (he) + for (let ye = 0; ye < _.length; ye++) + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglMultisampledFramebuffer), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.RENDERBUFFER, null), t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglFramebuffer), i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.TEXTURE_2D, null, 0); + t.bindFramebuffer(i.READ_FRAMEBUFFER, ae.__webglMultisampledFramebuffer), t.bindFramebuffer(i.DRAW_FRAMEBUFFER, ae.__webglFramebuffer); + for (let ye = 0; ye < _.length; ye++) { + J.push(i.COLOR_ATTACHMENT0 + ye), M.depthBuffer && J.push(me); + const Fe = ae.__ignoreDepthValues !== void 0 ? ae.__ignoreDepthValues : !1; + if (Fe === !1 && (M.depthBuffer && (K |= i.DEPTH_BUFFER_BIT), M.stencilBuffer && (K |= i.STENCIL_BUFFER_BIT)), he && i.framebufferRenderbuffer(i.READ_FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.RENDERBUFFER, ae.__webglColorRenderbuffer[ye]), Fe === !0 && (i.invalidateFramebuffer(i.READ_FRAMEBUFFER, [me]), i.invalidateFramebuffer(i.DRAW_FRAMEBUFFER, [me])), he) { + const ee = n.get(_[ye]).__webglTexture; + i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, ee, 0); + } + i.blitFramebuffer(0, 0, I, $, 0, 0, I, $, K, i.NEAREST), c && i.invalidateFramebuffer(i.READ_FRAMEBUFFER, J); + } + if (t.bindFramebuffer(i.READ_FRAMEBUFFER, null), t.bindFramebuffer(i.DRAW_FRAMEBUFFER, null), he) + for (let ye = 0; ye < _.length; ye++) { + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglMultisampledFramebuffer), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.RENDERBUFFER, ae.__webglColorRenderbuffer[ye]); + const Fe = n.get(_[ye]).__webglTexture; + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglFramebuffer), i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.TEXTURE_2D, Fe, 0); + } + t.bindFramebuffer(i.DRAW_FRAMEBUFFER, ae.__webglMultisampledFramebuffer); + } + } + function Re(M) { + return Math.min(r.maxSamples, M.samples); + } + function pe(M) { + const _ = n.get(M); + return a && M.samples > 0 && e.has("WEBGL_multisampled_render_to_texture") === !0 && _.__useRenderToTexture !== !1; + } + function je(M) { + const _ = o.render.frame; + h.get(M) !== _ && (h.set(M, _), M.update()); + } + function be(M, _) { + const I = M.colorSpace, $ = M.format, K = M.type; + return M.isCompressedTexture === !0 || M.isVideoTexture === !0 || M.format === ts || I !== $t && I !== Ct && (Ke.getTransfer(I) === Ze ? a === !1 ? e.has("EXT_sRGB") === !0 && $ === Ft ? (M.format = ts, M.minFilter = Rt, M.generateMipmaps = !1) : _ = So.sRGBToLinear(_) : ($ !== Ft || K !== cn) && console.warn("THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType.") : console.error("THREE.WebGLTextures: Unsupported texture color space:", I)), _; + } + this.allocateTextureUnit = L, this.resetTextureUnits = re, this.setTexture2D = V, this.setTexture2DArray = Y, this.setTexture3D = X, this.setTextureCube = k, this.rebindTextures = Pe, this.setupRenderTarget = N, this.updateRenderTargetMipmap = rt, this.updateMultisampleRenderTarget = Me, this.setupDepthRenderbuffer = ge, this.setupFrameBufferTexture = _e, this.useMultisampledRTT = pe; +} +function Yf(i, e, t) { + const n = t.isWebGL2; + function r(s, o = Ct) { + let a; + const l = Ke.getTransfer(o); + if (s === cn) return i.UNSIGNED_BYTE; + if (s === uo) return i.UNSIGNED_SHORT_4_4_4_4; + if (s === ho) return i.UNSIGNED_SHORT_5_5_5_1; + if (s === wl) return i.BYTE; + if (s === Rl) return i.SHORT; + if (s === as) return i.UNSIGNED_SHORT; + if (s === co) return i.INT; + if (s === sn) return i.UNSIGNED_INT; + if (s === an) return i.FLOAT; + if (s === gi) + return n ? i.HALF_FLOAT : (a = e.get("OES_texture_half_float"), a !== null ? a.HALF_FLOAT_OES : null); + if (s === Cl) return i.ALPHA; + if (s === Ft) return i.RGBA; + if (s === Ll) return i.LUMINANCE; + if (s === Pl) return i.LUMINANCE_ALPHA; + if (s === yn) return i.DEPTH_COMPONENT; + if (s === ti) return i.DEPTH_STENCIL; + if (s === ts) + return a = e.get("EXT_sRGB"), a !== null ? a.SRGB_ALPHA_EXT : null; + if (s === Dl) return i.RED; + if (s === fo) return i.RED_INTEGER; + if (s === Ul) return i.RG; + if (s === po) return i.RG_INTEGER; + if (s === mo) return i.RGBA_INTEGER; + if (s === mr || s === _r || s === gr || s === vr) + if (l === Ze) + if (a = e.get("WEBGL_compressed_texture_s3tc_srgb"), a !== null) { + if (s === mr) return a.COMPRESSED_SRGB_S3TC_DXT1_EXT; + if (s === _r) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT; + if (s === gr) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT; + if (s === vr) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT; + } else + return null; + else if (a = e.get("WEBGL_compressed_texture_s3tc"), a !== null) { + if (s === mr) return a.COMPRESSED_RGB_S3TC_DXT1_EXT; + if (s === _r) return a.COMPRESSED_RGBA_S3TC_DXT1_EXT; + if (s === gr) return a.COMPRESSED_RGBA_S3TC_DXT3_EXT; + if (s === vr) return a.COMPRESSED_RGBA_S3TC_DXT5_EXT; + } else + return null; + if (s === Rs || s === Cs || s === Ls || s === Ps) + if (a = e.get("WEBGL_compressed_texture_pvrtc"), a !== null) { + if (s === Rs) return a.COMPRESSED_RGB_PVRTC_4BPPV1_IMG; + if (s === Cs) return a.COMPRESSED_RGB_PVRTC_2BPPV1_IMG; + if (s === Ls) return a.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG; + if (s === Ps) return a.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG; + } else + return null; + if (s === _o) + return a = e.get("WEBGL_compressed_texture_etc1"), a !== null ? a.COMPRESSED_RGB_ETC1_WEBGL : null; + if (s === Ds || s === Us) + if (a = e.get("WEBGL_compressed_texture_etc"), a !== null) { + if (s === Ds) return l === Ze ? a.COMPRESSED_SRGB8_ETC2 : a.COMPRESSED_RGB8_ETC2; + if (s === Us) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC : a.COMPRESSED_RGBA8_ETC2_EAC; + } else + return null; + if (s === Is || s === Ns || s === Fs || s === Os || s === Bs || s === zs || s === Gs || s === Hs || s === Vs || s === ks || s === Ws || s === Xs || s === qs || s === Ys) + if (a = e.get("WEBGL_compressed_texture_astc"), a !== null) { + if (s === Is) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR : a.COMPRESSED_RGBA_ASTC_4x4_KHR; + if (s === Ns) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR : a.COMPRESSED_RGBA_ASTC_5x4_KHR; + if (s === Fs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR : a.COMPRESSED_RGBA_ASTC_5x5_KHR; + if (s === Os) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR : a.COMPRESSED_RGBA_ASTC_6x5_KHR; + if (s === Bs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR : a.COMPRESSED_RGBA_ASTC_6x6_KHR; + if (s === zs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR : a.COMPRESSED_RGBA_ASTC_8x5_KHR; + if (s === Gs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR : a.COMPRESSED_RGBA_ASTC_8x6_KHR; + if (s === Hs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR : a.COMPRESSED_RGBA_ASTC_8x8_KHR; + if (s === Vs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR : a.COMPRESSED_RGBA_ASTC_10x5_KHR; + if (s === ks) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR : a.COMPRESSED_RGBA_ASTC_10x6_KHR; + if (s === Ws) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR : a.COMPRESSED_RGBA_ASTC_10x8_KHR; + if (s === Xs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR : a.COMPRESSED_RGBA_ASTC_10x10_KHR; + if (s === qs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR : a.COMPRESSED_RGBA_ASTC_12x10_KHR; + if (s === Ys) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR : a.COMPRESSED_RGBA_ASTC_12x12_KHR; + } else + return null; + if (s === xr || s === js || s === Ks) + if (a = e.get("EXT_texture_compression_bptc"), a !== null) { + if (s === xr) return l === Ze ? a.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT : a.COMPRESSED_RGBA_BPTC_UNORM_EXT; + if (s === js) return a.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT; + if (s === Ks) return a.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT; + } else + return null; + if (s === Il || s === Zs || s === $s || s === Js) + if (a = e.get("EXT_texture_compression_rgtc"), a !== null) { + if (s === xr) return a.COMPRESSED_RED_RGTC1_EXT; + if (s === Zs) return a.COMPRESSED_SIGNED_RED_RGTC1_EXT; + if (s === $s) return a.COMPRESSED_RED_GREEN_RGTC2_EXT; + if (s === Js) return a.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT; + } else + return null; + return s === En ? n ? i.UNSIGNED_INT_24_8 : (a = e.get("WEBGL_depth_texture"), a !== null ? a.UNSIGNED_INT_24_8_WEBGL : null) : i[s] !== void 0 ? i[s] : null; + } + return { convert: r }; +} +class jf extends Tt { + constructor(e = []) { + super(), this.isArrayCamera = !0, this.cameras = e; + } +} +class qi extends dt { + constructor() { + super(), this.isGroup = !0, this.type = "Group"; + } +} +const Kf = { type: "move" }; +class kr { + constructor() { + this._targetRay = null, this._grip = null, this._hand = null; + } + getHandSpace() { + return this._hand === null && (this._hand = new qi(), this._hand.matrixAutoUpdate = !1, this._hand.visible = !1, this._hand.joints = {}, this._hand.inputState = { pinching: !1 }), this._hand; + } + getTargetRaySpace() { + return this._targetRay === null && (this._targetRay = new qi(), this._targetRay.matrixAutoUpdate = !1, this._targetRay.visible = !1, this._targetRay.hasLinearVelocity = !1, this._targetRay.linearVelocity = new P(), this._targetRay.hasAngularVelocity = !1, this._targetRay.angularVelocity = new P()), this._targetRay; + } + getGripSpace() { + return this._grip === null && (this._grip = new qi(), this._grip.matrixAutoUpdate = !1, this._grip.visible = !1, this._grip.hasLinearVelocity = !1, this._grip.linearVelocity = new P(), this._grip.hasAngularVelocity = !1, this._grip.angularVelocity = new P()), this._grip; + } + dispatchEvent(e) { + return this._targetRay !== null && this._targetRay.dispatchEvent(e), this._grip !== null && this._grip.dispatchEvent(e), this._hand !== null && this._hand.dispatchEvent(e), this; + } + connect(e) { + if (e && e.hand) { + const t = this._hand; + if (t) + for (const n of e.hand.values()) + this._getHandJoint(t, n); + } + return this.dispatchEvent({ type: "connected", data: e }), this; + } + disconnect(e) { + return this.dispatchEvent({ type: "disconnected", data: e }), this._targetRay !== null && (this._targetRay.visible = !1), this._grip !== null && (this._grip.visible = !1), this._hand !== null && (this._hand.visible = !1), this; + } + update(e, t, n) { + let r = null, s = null, o = null; + const a = this._targetRay, l = this._grip, c = this._hand; + if (e && t.session.visibilityState !== "visible-blurred") { + if (c && e.hand) { + o = !0; + for (const v of e.hand.values()) { + const f = t.getJointPose(v, n), u = this._getHandJoint(c, v); + f !== null && (u.matrix.fromArray(f.transform.matrix), u.matrix.decompose(u.position, u.rotation, u.scale), u.matrixWorldNeedsUpdate = !0, u.jointRadius = f.radius), u.visible = f !== null; + } + const h = c.joints["index-finger-tip"], d = c.joints["thumb-tip"], p = h.position.distanceTo(d.position), m = 0.02, g = 5e-3; + c.inputState.pinching && p > m + g ? (c.inputState.pinching = !1, this.dispatchEvent({ + type: "pinchend", + handedness: e.handedness, + target: this + })) : !c.inputState.pinching && p <= m - g && (c.inputState.pinching = !0, this.dispatchEvent({ + type: "pinchstart", + handedness: e.handedness, + target: this + })); + } else + l !== null && e.gripSpace && (s = t.getPose(e.gripSpace, n), s !== null && (l.matrix.fromArray(s.transform.matrix), l.matrix.decompose(l.position, l.rotation, l.scale), l.matrixWorldNeedsUpdate = !0, s.linearVelocity ? (l.hasLinearVelocity = !0, l.linearVelocity.copy(s.linearVelocity)) : l.hasLinearVelocity = !1, s.angularVelocity ? (l.hasAngularVelocity = !0, l.angularVelocity.copy(s.angularVelocity)) : l.hasAngularVelocity = !1)); + a !== null && (r = t.getPose(e.targetRaySpace, n), r === null && s !== null && (r = s), r !== null && (a.matrix.fromArray(r.transform.matrix), a.matrix.decompose(a.position, a.rotation, a.scale), a.matrixWorldNeedsUpdate = !0, r.linearVelocity ? (a.hasLinearVelocity = !0, a.linearVelocity.copy(r.linearVelocity)) : a.hasLinearVelocity = !1, r.angularVelocity ? (a.hasAngularVelocity = !0, a.angularVelocity.copy(r.angularVelocity)) : a.hasAngularVelocity = !1, this.dispatchEvent(Kf))); + } + return a !== null && (a.visible = r !== null), l !== null && (l.visible = s !== null), c !== null && (c.visible = o !== null), this; + } + // private method + _getHandJoint(e, t) { + if (e.joints[t.jointName] === void 0) { + const n = new qi(); + n.matrixAutoUpdate = !1, n.visible = !1, e.joints[t.jointName] = n, e.add(n); + } + return e.joints[t.jointName]; + } +} +class Zf extends Rn { + constructor(e, t) { + super(); + const n = this; + let r = null, s = 1, o = null, a = "local-floor", l = 1, c = null, h = null, d = null, p = null, m = null, g = null; + const v = t.getContextAttributes(); + let f = null, u = null; + const b = [], S = [], R = new Ie(); + let D = null; + const C = new Tt(); + C.layers.enable(1), C.viewport = new $e(); + const A = new Tt(); + A.layers.enable(2), A.viewport = new $e(); + const W = [C, A], x = new jf(); + x.layers.enable(1), x.layers.enable(2); + let y = null, z = null; + this.cameraAutoUpdate = !0, this.enabled = !1, this.isPresenting = !1, this.getController = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getTargetRaySpace(); + }, this.getControllerGrip = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getGripSpace(); + }, this.getHand = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getHandSpace(); + }; + function Z(H) { + const j = S.indexOf(H.inputSource); + if (j === -1) + return; + const oe = b[j]; + oe !== void 0 && (oe.update(H.inputSource, H.frame, c || o), oe.dispatchEvent({ type: H.type, data: H.inputSource })); + } + function re() { + r.removeEventListener("select", Z), r.removeEventListener("selectstart", Z), r.removeEventListener("selectend", Z), r.removeEventListener("squeeze", Z), r.removeEventListener("squeezestart", Z), r.removeEventListener("squeezeend", Z), r.removeEventListener("end", re), r.removeEventListener("inputsourceschange", L); + for (let H = 0; H < b.length; H++) { + const j = S[H]; + j !== null && (S[H] = null, b[H].disconnect(j)); + } + y = null, z = null, e.setRenderTarget(f), m = null, p = null, d = null, r = null, u = null, ce.stop(), n.isPresenting = !1, e.setPixelRatio(D), e.setSize(R.width, R.height, !1), n.dispatchEvent({ type: "sessionend" }); + } + this.setFramebufferScaleFactor = function(H) { + s = H, n.isPresenting === !0 && console.warn("THREE.WebXRManager: Cannot change framebuffer scale while presenting."); + }, this.setReferenceSpaceType = function(H) { + a = H, n.isPresenting === !0 && console.warn("THREE.WebXRManager: Cannot change reference space type while presenting."); + }, this.getReferenceSpace = function() { + return c || o; + }, this.setReferenceSpace = function(H) { + c = H; + }, this.getBaseLayer = function() { + return p !== null ? p : m; + }, this.getBinding = function() { + return d; + }, this.getFrame = function() { + return g; + }, this.getSession = function() { + return r; + }, this.setSession = async function(H) { + if (r = H, r !== null) { + if (f = e.getRenderTarget(), r.addEventListener("select", Z), r.addEventListener("selectstart", Z), r.addEventListener("selectend", Z), r.addEventListener("squeeze", Z), r.addEventListener("squeezestart", Z), r.addEventListener("squeezeend", Z), r.addEventListener("end", re), r.addEventListener("inputsourceschange", L), v.xrCompatible !== !0 && await t.makeXRCompatible(), D = e.getPixelRatio(), e.getSize(R), r.renderState.layers === void 0 || e.capabilities.isWebGL2 === !1) { + const j = { + antialias: r.renderState.layers === void 0 ? v.antialias : !0, + alpha: !0, + depth: v.depth, + stencil: v.stencil, + framebufferScaleFactor: s + }; + m = new XRWebGLLayer(r, t, j), r.updateRenderState({ baseLayer: m }), e.setPixelRatio(1), e.setSize(m.framebufferWidth, m.framebufferHeight, !1), u = new bn( + m.framebufferWidth, + m.framebufferHeight, + { + format: Ft, + type: cn, + colorSpace: e.outputColorSpace, + stencilBuffer: v.stencil + } + ); + } else { + let j = null, oe = null, ve = null; + v.depth && (ve = v.stencil ? t.DEPTH24_STENCIL8 : t.DEPTH_COMPONENT24, j = v.stencil ? ti : yn, oe = v.stencil ? En : sn); + const _e = { + colorFormat: t.RGBA8, + depthFormat: ve, + scaleFactor: s + }; + d = new XRWebGLBinding(r, t), p = d.createProjectionLayer(_e), r.updateRenderState({ layers: [p] }), e.setPixelRatio(1), e.setSize(p.textureWidth, p.textureHeight, !1), u = new bn( + p.textureWidth, + p.textureHeight, + { + format: Ft, + type: cn, + depthTexture: new Io(p.textureWidth, p.textureHeight, oe, void 0, void 0, void 0, void 0, void 0, void 0, j), + stencilBuffer: v.stencil, + colorSpace: e.outputColorSpace, + samples: v.antialias ? 4 : 0 + } + ); + const we = e.properties.get(u); + we.__ignoreDepthValues = p.ignoreDepthValues; + } + u.isXRRenderTarget = !0, this.setFoveation(l), c = null, o = await r.requestReferenceSpace(a), ce.setContext(r), ce.start(), n.isPresenting = !0, n.dispatchEvent({ type: "sessionstart" }); + } + }, this.getEnvironmentBlendMode = function() { + if (r !== null) + return r.environmentBlendMode; + }; + function L(H) { + for (let j = 0; j < H.removed.length; j++) { + const oe = H.removed[j], ve = S.indexOf(oe); + ve >= 0 && (S[ve] = null, b[ve].disconnect(oe)); + } + for (let j = 0; j < H.added.length; j++) { + const oe = H.added[j]; + let ve = S.indexOf(oe); + if (ve === -1) { + for (let we = 0; we < b.length; we++) + if (we >= S.length) { + S.push(oe), ve = we; + break; + } else if (S[we] === null) { + S[we] = oe, ve = we; + break; + } + if (ve === -1) break; + } + const _e = b[ve]; + _e && _e.connect(oe); + } + } + const F = new P(), V = new P(); + function Y(H, j, oe) { + F.setFromMatrixPosition(j.matrixWorld), V.setFromMatrixPosition(oe.matrixWorld); + const ve = F.distanceTo(V), _e = j.projectionMatrix.elements, we = oe.projectionMatrix.elements, Ae = _e[14] / (_e[10] - 1), ge = _e[14] / (_e[10] + 1), Pe = (_e[9] + 1) / _e[5], N = (_e[9] - 1) / _e[5], rt = (_e[8] - 1) / _e[0], Me = (we[8] + 1) / we[0], Re = Ae * rt, pe = Ae * Me, je = ve / (-rt + Me), be = je * -rt; + j.matrixWorld.decompose(H.position, H.quaternion, H.scale), H.translateX(be), H.translateZ(je), H.matrixWorld.compose(H.position, H.quaternion, H.scale), H.matrixWorldInverse.copy(H.matrixWorld).invert(); + const M = Ae + je, _ = ge + je, I = Re - be, $ = pe + (ve - be), K = Pe * ge / _ * M, J = N * ge / _ * M; + H.projectionMatrix.makePerspective(I, $, K, J, M, _), H.projectionMatrixInverse.copy(H.projectionMatrix).invert(); + } + function X(H, j) { + j === null ? H.matrixWorld.copy(H.matrix) : H.matrixWorld.multiplyMatrices(j.matrixWorld, H.matrix), H.matrixWorldInverse.copy(H.matrixWorld).invert(); + } + this.updateCamera = function(H) { + if (r === null) return; + x.near = A.near = C.near = H.near, x.far = A.far = C.far = H.far, (y !== x.near || z !== x.far) && (r.updateRenderState({ + depthNear: x.near, + depthFar: x.far + }), y = x.near, z = x.far); + const j = H.parent, oe = x.cameras; + X(x, j); + for (let ve = 0; ve < oe.length; ve++) + X(oe[ve], j); + oe.length === 2 ? Y(x, C, A) : x.projectionMatrix.copy(C.projectionMatrix), k(H, x, j); + }; + function k(H, j, oe) { + oe === null ? H.matrix.copy(j.matrixWorld) : (H.matrix.copy(oe.matrixWorld), H.matrix.invert(), H.matrix.multiply(j.matrixWorld)), H.matrix.decompose(H.position, H.quaternion, H.scale), H.updateMatrixWorld(!0), H.projectionMatrix.copy(j.projectionMatrix), H.projectionMatrixInverse.copy(j.projectionMatrixInverse), H.isPerspectiveCamera && (H.fov = ns * 2 * Math.atan(1 / H.projectionMatrix.elements[5]), H.zoom = 1); + } + this.getCamera = function() { + return x; + }, this.getFoveation = function() { + if (!(p === null && m === null)) + return l; + }, this.setFoveation = function(H) { + l = H, p !== null && (p.fixedFoveation = H), m !== null && m.fixedFoveation !== void 0 && (m.fixedFoveation = H); + }; + let q = null; + function Q(H, j) { + if (h = j.getViewerPose(c || o), g = j, h !== null) { + const oe = h.views; + m !== null && (e.setRenderTargetFramebuffer(u, m.framebuffer), e.setRenderTarget(u)); + let ve = !1; + oe.length !== x.cameras.length && (x.cameras.length = 0, ve = !0); + for (let _e = 0; _e < oe.length; _e++) { + const we = oe[_e]; + let Ae = null; + if (m !== null) + Ae = m.getViewport(we); + else { + const Pe = d.getViewSubImage(p, we); + Ae = Pe.viewport, _e === 0 && (e.setRenderTargetTextures( + u, + Pe.colorTexture, + p.ignoreDepthValues ? void 0 : Pe.depthStencilTexture + ), e.setRenderTarget(u)); + } + let ge = W[_e]; + ge === void 0 && (ge = new Tt(), ge.layers.enable(_e), ge.viewport = new $e(), W[_e] = ge), ge.matrix.fromArray(we.transform.matrix), ge.matrix.decompose(ge.position, ge.quaternion, ge.scale), ge.projectionMatrix.fromArray(we.projectionMatrix), ge.projectionMatrixInverse.copy(ge.projectionMatrix).invert(), ge.viewport.set(Ae.x, Ae.y, Ae.width, Ae.height), _e === 0 && (x.matrix.copy(ge.matrix), x.matrix.decompose(x.position, x.quaternion, x.scale)), ve === !0 && x.cameras.push(ge); + } + } + for (let oe = 0; oe < b.length; oe++) { + const ve = S[oe], _e = b[oe]; + ve !== null && _e !== void 0 && _e.update(ve, j, c || o); + } + q && q(H, j), j.detectedPlanes && n.dispatchEvent({ type: "planesdetected", data: j }), g = null; + } + const ce = new Do(); + ce.setAnimationLoop(Q), this.setAnimationLoop = function(H) { + q = H; + }, this.dispose = function() { + }; + } +} +function $f(i, e) { + function t(f, u) { + f.matrixAutoUpdate === !0 && f.updateMatrix(), u.value.copy(f.matrix); + } + function n(f, u) { + u.color.getRGB(f.fogColor.value, Co(i)), u.isFog ? (f.fogNear.value = u.near, f.fogFar.value = u.far) : u.isFogExp2 && (f.fogDensity.value = u.density); + } + function r(f, u, b, S, R) { + u.isMeshBasicMaterial || u.isMeshLambertMaterial ? s(f, u) : u.isMeshToonMaterial ? (s(f, u), d(f, u)) : u.isMeshPhongMaterial ? (s(f, u), h(f, u)) : u.isMeshStandardMaterial ? (s(f, u), p(f, u), u.isMeshPhysicalMaterial && m(f, u, R)) : u.isMeshMatcapMaterial ? (s(f, u), g(f, u)) : u.isMeshDepthMaterial ? s(f, u) : u.isMeshDistanceMaterial ? (s(f, u), v(f, u)) : u.isMeshNormalMaterial ? s(f, u) : u.isLineBasicMaterial ? (o(f, u), u.isLineDashedMaterial && a(f, u)) : u.isPointsMaterial ? l(f, u, b, S) : u.isSpriteMaterial ? c(f, u) : u.isShadowMaterial ? (f.color.value.copy(u.color), f.opacity.value = u.opacity) : u.isShaderMaterial && (u.uniformsNeedUpdate = !1); + } + function s(f, u) { + f.opacity.value = u.opacity, u.color && f.diffuse.value.copy(u.color), u.emissive && f.emissive.value.copy(u.emissive).multiplyScalar(u.emissiveIntensity), u.map && (f.map.value = u.map, t(u.map, f.mapTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.bumpMap && (f.bumpMap.value = u.bumpMap, t(u.bumpMap, f.bumpMapTransform), f.bumpScale.value = u.bumpScale, u.side === Mt && (f.bumpScale.value *= -1)), u.normalMap && (f.normalMap.value = u.normalMap, t(u.normalMap, f.normalMapTransform), f.normalScale.value.copy(u.normalScale), u.side === Mt && f.normalScale.value.negate()), u.displacementMap && (f.displacementMap.value = u.displacementMap, t(u.displacementMap, f.displacementMapTransform), f.displacementScale.value = u.displacementScale, f.displacementBias.value = u.displacementBias), u.emissiveMap && (f.emissiveMap.value = u.emissiveMap, t(u.emissiveMap, f.emissiveMapTransform)), u.specularMap && (f.specularMap.value = u.specularMap, t(u.specularMap, f.specularMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + const b = e.get(u).envMap; + if (b && (f.envMap.value = b, f.flipEnvMap.value = b.isCubeTexture && b.isRenderTargetTexture === !1 ? -1 : 1, f.reflectivity.value = u.reflectivity, f.ior.value = u.ior, f.refractionRatio.value = u.refractionRatio), u.lightMap) { + f.lightMap.value = u.lightMap; + const S = i._useLegacyLights === !0 ? Math.PI : 1; + f.lightMapIntensity.value = u.lightMapIntensity * S, t(u.lightMap, f.lightMapTransform); + } + u.aoMap && (f.aoMap.value = u.aoMap, f.aoMapIntensity.value = u.aoMapIntensity, t(u.aoMap, f.aoMapTransform)); + } + function o(f, u) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, u.map && (f.map.value = u.map, t(u.map, f.mapTransform)); + } + function a(f, u) { + f.dashSize.value = u.dashSize, f.totalSize.value = u.dashSize + u.gapSize, f.scale.value = u.scale; + } + function l(f, u, b, S) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, f.size.value = u.size * b, f.scale.value = S * 0.5, u.map && (f.map.value = u.map, t(u.map, f.uvTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + } + function c(f, u) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, f.rotation.value = u.rotation, u.map && (f.map.value = u.map, t(u.map, f.mapTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + } + function h(f, u) { + f.specular.value.copy(u.specular), f.shininess.value = Math.max(u.shininess, 1e-4); + } + function d(f, u) { + u.gradientMap && (f.gradientMap.value = u.gradientMap); + } + function p(f, u) { + f.metalness.value = u.metalness, u.metalnessMap && (f.metalnessMap.value = u.metalnessMap, t(u.metalnessMap, f.metalnessMapTransform)), f.roughness.value = u.roughness, u.roughnessMap && (f.roughnessMap.value = u.roughnessMap, t(u.roughnessMap, f.roughnessMapTransform)), e.get(u).envMap && (f.envMapIntensity.value = u.envMapIntensity); + } + function m(f, u, b) { + f.ior.value = u.ior, u.sheen > 0 && (f.sheenColor.value.copy(u.sheenColor).multiplyScalar(u.sheen), f.sheenRoughness.value = u.sheenRoughness, u.sheenColorMap && (f.sheenColorMap.value = u.sheenColorMap, t(u.sheenColorMap, f.sheenColorMapTransform)), u.sheenRoughnessMap && (f.sheenRoughnessMap.value = u.sheenRoughnessMap, t(u.sheenRoughnessMap, f.sheenRoughnessMapTransform))), u.clearcoat > 0 && (f.clearcoat.value = u.clearcoat, f.clearcoatRoughness.value = u.clearcoatRoughness, u.clearcoatMap && (f.clearcoatMap.value = u.clearcoatMap, t(u.clearcoatMap, f.clearcoatMapTransform)), u.clearcoatRoughnessMap && (f.clearcoatRoughnessMap.value = u.clearcoatRoughnessMap, t(u.clearcoatRoughnessMap, f.clearcoatRoughnessMapTransform)), u.clearcoatNormalMap && (f.clearcoatNormalMap.value = u.clearcoatNormalMap, t(u.clearcoatNormalMap, f.clearcoatNormalMapTransform), f.clearcoatNormalScale.value.copy(u.clearcoatNormalScale), u.side === Mt && f.clearcoatNormalScale.value.negate())), u.iridescence > 0 && (f.iridescence.value = u.iridescence, f.iridescenceIOR.value = u.iridescenceIOR, f.iridescenceThicknessMinimum.value = u.iridescenceThicknessRange[0], f.iridescenceThicknessMaximum.value = u.iridescenceThicknessRange[1], u.iridescenceMap && (f.iridescenceMap.value = u.iridescenceMap, t(u.iridescenceMap, f.iridescenceMapTransform)), u.iridescenceThicknessMap && (f.iridescenceThicknessMap.value = u.iridescenceThicknessMap, t(u.iridescenceThicknessMap, f.iridescenceThicknessMapTransform))), u.transmission > 0 && (f.transmission.value = u.transmission, f.transmissionSamplerMap.value = b.texture, f.transmissionSamplerSize.value.set(b.width, b.height), u.transmissionMap && (f.transmissionMap.value = u.transmissionMap, t(u.transmissionMap, f.transmissionMapTransform)), f.thickness.value = u.thickness, u.thicknessMap && (f.thicknessMap.value = u.thicknessMap, t(u.thicknessMap, f.thicknessMapTransform)), f.attenuationDistance.value = u.attenuationDistance, f.attenuationColor.value.copy(u.attenuationColor)), u.anisotropy > 0 && (f.anisotropyVector.value.set(u.anisotropy * Math.cos(u.anisotropyRotation), u.anisotropy * Math.sin(u.anisotropyRotation)), u.anisotropyMap && (f.anisotropyMap.value = u.anisotropyMap, t(u.anisotropyMap, f.anisotropyMapTransform))), f.specularIntensity.value = u.specularIntensity, f.specularColor.value.copy(u.specularColor), u.specularColorMap && (f.specularColorMap.value = u.specularColorMap, t(u.specularColorMap, f.specularColorMapTransform)), u.specularIntensityMap && (f.specularIntensityMap.value = u.specularIntensityMap, t(u.specularIntensityMap, f.specularIntensityMapTransform)); + } + function g(f, u) { + u.matcap && (f.matcap.value = u.matcap); + } + function v(f, u) { + const b = e.get(u).light; + f.referencePosition.value.setFromMatrixPosition(b.matrixWorld), f.nearDistance.value = b.shadow.camera.near, f.farDistance.value = b.shadow.camera.far; + } + return { + refreshFogUniforms: n, + refreshMaterialUniforms: r + }; +} +function Jf(i, e, t, n) { + let r = {}, s = {}, o = []; + const a = t.isWebGL2 ? i.getParameter(i.MAX_UNIFORM_BUFFER_BINDINGS) : 0; + function l(b, S) { + const R = S.program; + n.uniformBlockBinding(b, R); + } + function c(b, S) { + let R = r[b.id]; + R === void 0 && (g(b), R = h(b), r[b.id] = R, b.addEventListener("dispose", f)); + const D = S.program; + n.updateUBOMapping(b, D); + const C = e.render.frame; + s[b.id] !== C && (p(b), s[b.id] = C); + } + function h(b) { + const S = d(); + b.__bindingPointIndex = S; + const R = i.createBuffer(), D = b.__size, C = b.usage; + return i.bindBuffer(i.UNIFORM_BUFFER, R), i.bufferData(i.UNIFORM_BUFFER, D, C), i.bindBuffer(i.UNIFORM_BUFFER, null), i.bindBufferBase(i.UNIFORM_BUFFER, S, R), R; + } + function d() { + for (let b = 0; b < a; b++) + if (o.indexOf(b) === -1) + return o.push(b), b; + return console.error("THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached."), 0; + } + function p(b) { + const S = r[b.id], R = b.uniforms, D = b.__cache; + i.bindBuffer(i.UNIFORM_BUFFER, S); + for (let C = 0, A = R.length; C < A; C++) { + const W = Array.isArray(R[C]) ? R[C] : [R[C]]; + for (let x = 0, y = W.length; x < y; x++) { + const z = W[x]; + if (m(z, C, x, D) === !0) { + const Z = z.__offset, re = Array.isArray(z.value) ? z.value : [z.value]; + let L = 0; + for (let F = 0; F < re.length; F++) { + const V = re[F], Y = v(V); + typeof V == "number" || typeof V == "boolean" ? (z.__data[0] = V, i.bufferSubData(i.UNIFORM_BUFFER, Z + L, z.__data)) : V.isMatrix3 ? (z.__data[0] = V.elements[0], z.__data[1] = V.elements[1], z.__data[2] = V.elements[2], z.__data[3] = 0, z.__data[4] = V.elements[3], z.__data[5] = V.elements[4], z.__data[6] = V.elements[5], z.__data[7] = 0, z.__data[8] = V.elements[6], z.__data[9] = V.elements[7], z.__data[10] = V.elements[8], z.__data[11] = 0) : (V.toArray(z.__data, L), L += Y.storage / Float32Array.BYTES_PER_ELEMENT); + } + i.bufferSubData(i.UNIFORM_BUFFER, Z, z.__data); + } + } + } + i.bindBuffer(i.UNIFORM_BUFFER, null); + } + function m(b, S, R, D) { + const C = b.value, A = S + "_" + R; + if (D[A] === void 0) + return typeof C == "number" || typeof C == "boolean" ? D[A] = C : D[A] = C.clone(), !0; + { + const W = D[A]; + if (typeof C == "number" || typeof C == "boolean") { + if (W !== C) + return D[A] = C, !0; + } else if (W.equals(C) === !1) + return W.copy(C), !0; + } + return !1; + } + function g(b) { + const S = b.uniforms; + let R = 0; + const D = 16; + for (let A = 0, W = S.length; A < W; A++) { + const x = Array.isArray(S[A]) ? S[A] : [S[A]]; + for (let y = 0, z = x.length; y < z; y++) { + const Z = x[y], re = Array.isArray(Z.value) ? Z.value : [Z.value]; + for (let L = 0, F = re.length; L < F; L++) { + const V = re[L], Y = v(V), X = R % D; + X !== 0 && D - X < Y.boundary && (R += D - X), Z.__data = new Float32Array(Y.storage / Float32Array.BYTES_PER_ELEMENT), Z.__offset = R, R += Y.storage; + } + } + } + const C = R % D; + return C > 0 && (R += D - C), b.__size = R, b.__cache = {}, this; + } + function v(b) { + const S = { + boundary: 0, + // bytes + storage: 0 + // bytes + }; + return typeof b == "number" || typeof b == "boolean" ? (S.boundary = 4, S.storage = 4) : b.isVector2 ? (S.boundary = 8, S.storage = 8) : b.isVector3 || b.isColor ? (S.boundary = 16, S.storage = 12) : b.isVector4 ? (S.boundary = 16, S.storage = 16) : b.isMatrix3 ? (S.boundary = 48, S.storage = 48) : b.isMatrix4 ? (S.boundary = 64, S.storage = 64) : b.isTexture ? console.warn("THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group.") : console.warn("THREE.WebGLRenderer: Unsupported uniform value type.", b), S; + } + function f(b) { + const S = b.target; + S.removeEventListener("dispose", f); + const R = o.indexOf(S.__bindingPointIndex); + o.splice(R, 1), i.deleteBuffer(r[S.id]), delete r[S.id], delete s[S.id]; + } + function u() { + for (const b in r) + i.deleteBuffer(r[b]); + o = [], r = {}, s = {}; + } + return { + bind: l, + update: c, + dispose: u + }; +} +class Go { + constructor(e = {}) { + const { + canvas: t = Yl(), + context: n = null, + depth: r = !0, + stencil: s = !0, + alpha: o = !1, + antialias: a = !1, + premultipliedAlpha: l = !0, + preserveDrawingBuffer: c = !1, + powerPreference: h = "default", + failIfMajorPerformanceCaveat: d = !1 + } = e; + this.isWebGLRenderer = !0; + let p; + n !== null ? p = n.getContextAttributes().alpha : p = o; + const m = new Uint32Array(4), g = new Int32Array(4); + let v = null, f = null; + const u = [], b = []; + this.domElement = t, this.debug = { + /** + * Enables error checking and reporting when shader programs are being compiled + * @type {boolean} + */ + checkShaderErrors: !0, + /** + * Callback for custom error reporting. + * @type {?Function} + */ + onShaderError: null + }, this.autoClear = !0, this.autoClearColor = !0, this.autoClearDepth = !0, this.autoClearStencil = !0, this.sortObjects = !0, this.clippingPlanes = [], this.localClippingEnabled = !1, this._outputColorSpace = ht, this._useLegacyLights = !1, this.toneMapping = ln, this.toneMappingExposure = 1; + const S = this; + let R = !1, D = 0, C = 0, A = null, W = -1, x = null; + const y = new $e(), z = new $e(); + let Z = null; + const re = new Xe(0); + let L = 0, F = t.width, V = t.height, Y = 1, X = null, k = null; + const q = new $e(0, 0, F, V), Q = new $e(0, 0, F, V); + let ce = !1; + const H = new cs(); + let j = !1, oe = !1, ve = null; + const _e = new Qe(), we = new Ie(), Ae = new P(), ge = { background: null, fog: null, environment: null, overrideMaterial: null, isScene: !0 }; + function Pe() { + return A === null ? Y : 1; + } + let N = n; + function rt(E, U) { + for (let B = 0; B < E.length; B++) { + const G = E[B], O = t.getContext(G, U); + if (O !== null) return O; + } + return null; + } + try { + const E = { + alpha: !0, + depth: r, + stencil: s, + antialias: a, + premultipliedAlpha: l, + preserveDrawingBuffer: c, + powerPreference: h, + failIfMajorPerformanceCaveat: d + }; + if ("setAttribute" in t && t.setAttribute("data-engine", `three.js r${ss}`), t.addEventListener("webglcontextlost", te, !1), t.addEventListener("webglcontextrestored", w, !1), t.addEventListener("webglcontextcreationerror", ie, !1), N === null) { + const U = ["webgl2", "webgl", "experimental-webgl"]; + if (S.isWebGL1Renderer === !0 && U.shift(), N = rt(U, E), N === null) + throw rt(U) ? new Error("Error creating WebGL context with your selected attributes.") : new Error("Error creating WebGL context."); + } + typeof WebGLRenderingContext < "u" && N instanceof WebGLRenderingContext && console.warn("THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163."), N.getShaderPrecisionFormat === void 0 && (N.getShaderPrecisionFormat = function() { + return { rangeMin: 1, rangeMax: 1, precision: 1 }; + }); + } catch (E) { + throw console.error("THREE.WebGLRenderer: " + E.message), E; + } + let Me, Re, pe, je, be, M, _, I, $, K, J, me, ae, he, ye, Fe, ee, Ye, ze, De, Ee, ue, T, ne; + function xe() { + Me = new od(N), Re = new td(N, Me, e), Me.init(Re), ue = new Yf(N, Me, Re), pe = new Xf(N, Me, Re), je = new ud(N), be = new Pf(), M = new qf(N, Me, pe, be, Re, ue, je), _ = new id(S), I = new ad(S), $ = new vc(N, Re), T = new Qh(N, Me, $, Re), K = new ld(N, $, je, T), J = new pd(N, K, $, je), ze = new fd(N, Re, M), Fe = new nd(be), me = new Lf(S, _, I, Me, Re, T, Fe), ae = new $f(S, be), he = new Uf(), ye = new zf(Me, Re), Ye = new Jh(S, _, I, pe, J, p, l), ee = new Wf(S, J, Re), ne = new Jf(N, je, Re, pe), De = new ed(N, Me, je, Re), Ee = new cd(N, Me, je, Re), je.programs = me.programs, S.capabilities = Re, S.extensions = Me, S.properties = be, S.renderLists = he, S.shadowMap = ee, S.state = pe, S.info = je; + } + xe(); + const fe = new Zf(S, N); + this.xr = fe, this.getContext = function() { + return N; + }, this.getContextAttributes = function() { + return N.getContextAttributes(); + }, this.forceContextLoss = function() { + const E = Me.get("WEBGL_lose_context"); + E && E.loseContext(); + }, this.forceContextRestore = function() { + const E = Me.get("WEBGL_lose_context"); + E && E.restoreContext(); + }, this.getPixelRatio = function() { + return Y; + }, this.setPixelRatio = function(E) { + E !== void 0 && (Y = E, this.setSize(F, V, !1)); + }, this.getSize = function(E) { + return E.set(F, V); + }, this.setSize = function(E, U, B = !0) { + if (fe.isPresenting) { + console.warn("THREE.WebGLRenderer: Can't change size while VR device is presenting."); + return; + } + F = E, V = U, t.width = Math.floor(E * Y), t.height = Math.floor(U * Y), B === !0 && (t.style.width = E + "px", t.style.height = U + "px"), this.setViewport(0, 0, E, U); + }, this.getDrawingBufferSize = function(E) { + return E.set(F * Y, V * Y).floor(); + }, this.setDrawingBufferSize = function(E, U, B) { + F = E, V = U, Y = B, t.width = Math.floor(E * B), t.height = Math.floor(U * B), this.setViewport(0, 0, E, U); + }, this.getCurrentViewport = function(E) { + return E.copy(y); + }, this.getViewport = function(E) { + return E.copy(q); + }, this.setViewport = function(E, U, B, G) { + E.isVector4 ? q.set(E.x, E.y, E.z, E.w) : q.set(E, U, B, G), pe.viewport(y.copy(q).multiplyScalar(Y).floor()); + }, this.getScissor = function(E) { + return E.copy(Q); + }, this.setScissor = function(E, U, B, G) { + E.isVector4 ? Q.set(E.x, E.y, E.z, E.w) : Q.set(E, U, B, G), pe.scissor(z.copy(Q).multiplyScalar(Y).floor()); + }, this.getScissorTest = function() { + return ce; + }, this.setScissorTest = function(E) { + pe.setScissorTest(ce = E); + }, this.setOpaqueSort = function(E) { + X = E; + }, this.setTransparentSort = function(E) { + k = E; + }, this.getClearColor = function(E) { + return E.copy(Ye.getClearColor()); + }, this.setClearColor = function() { + Ye.setClearColor.apply(Ye, arguments); + }, this.getClearAlpha = function() { + return Ye.getClearAlpha(); + }, this.setClearAlpha = function() { + Ye.setClearAlpha.apply(Ye, arguments); + }, this.clear = function(E = !0, U = !0, B = !0) { + let G = 0; + if (E) { + let O = !1; + if (A !== null) { + const de = A.texture.format; + O = de === mo || de === po || de === fo; + } + if (O) { + const de = A.texture.type, Se = de === cn || de === sn || de === as || de === En || de === uo || de === ho, Le = Ye.getClearColor(), Ue = Ye.getClearAlpha(), Ge = Le.r, Ne = Le.g, Oe = Le.b; + Se ? (m[0] = Ge, m[1] = Ne, m[2] = Oe, m[3] = Ue, N.clearBufferuiv(N.COLOR, 0, m)) : (g[0] = Ge, g[1] = Ne, g[2] = Oe, g[3] = Ue, N.clearBufferiv(N.COLOR, 0, g)); + } else + G |= N.COLOR_BUFFER_BIT; + } + U && (G |= N.DEPTH_BUFFER_BIT), B && (G |= N.STENCIL_BUFFER_BIT, this.state.buffers.stencil.setMask(4294967295)), N.clear(G); + }, this.clearColor = function() { + this.clear(!0, !1, !1); + }, this.clearDepth = function() { + this.clear(!1, !0, !1); + }, this.clearStencil = function() { + this.clear(!1, !1, !0); + }, this.dispose = function() { + t.removeEventListener("webglcontextlost", te, !1), t.removeEventListener("webglcontextrestored", w, !1), t.removeEventListener("webglcontextcreationerror", ie, !1), he.dispose(), ye.dispose(), be.dispose(), _.dispose(), I.dispose(), J.dispose(), T.dispose(), ne.dispose(), me.dispose(), fe.dispose(), fe.removeEventListener("sessionstart", nt), fe.removeEventListener("sessionend", qe), ve && (ve.dispose(), ve = null), st.stop(); + }; + function te(E) { + E.preventDefault(), console.log("THREE.WebGLRenderer: Context Lost."), R = !0; + } + function w() { + console.log("THREE.WebGLRenderer: Context Restored."), R = !1; + const E = je.autoReset, U = ee.enabled, B = ee.autoUpdate, G = ee.needsUpdate, O = ee.type; + xe(), je.autoReset = E, ee.enabled = U, ee.autoUpdate = B, ee.needsUpdate = G, ee.type = O; + } + function ie(E) { + console.error("THREE.WebGLRenderer: A WebGL context could not be created. Reason: ", E.statusMessage); + } + function le(E) { + const U = E.target; + U.removeEventListener("dispose", le), Ce(U); + } + function Ce(E) { + Te(E), be.remove(E); + } + function Te(E) { + const U = be.get(E).programs; + U !== void 0 && (U.forEach(function(B) { + me.releaseProgram(B); + }), E.isShaderMaterial && me.releaseShaderCache(E)); + } + this.renderBufferDirect = function(E, U, B, G, O, de) { + U === null && (U = ge); + const Se = O.isMesh && O.matrixWorld.determinant() < 0, Le = ko(E, U, B, G, O); + pe.setMaterial(G, Se); + let Ue = B.index, Ge = 1; + if (G.wireframe === !0) { + if (Ue = K.getWireframeAttribute(B), Ue === void 0) return; + Ge = 2; + } + const Ne = B.drawRange, Oe = B.attributes.position; + let it = Ne.start * Ge, St = (Ne.start + Ne.count) * Ge; + de !== null && (it = Math.max(it, de.start * Ge), St = Math.min(St, (de.start + de.count) * Ge)), Ue !== null ? (it = Math.max(it, 0), St = Math.min(St, Ue.count)) : Oe != null && (it = Math.max(it, 0), St = Math.min(St, Oe.count)); + const ct = St - it; + if (ct < 0 || ct === 1 / 0) return; + T.setup(O, G, Le, B, Ue); + let Vt, Je = De; + if (Ue !== null && (Vt = $.get(Ue), Je = Ee, Je.setIndex(Vt)), O.isMesh) + G.wireframe === !0 ? (pe.setLineWidth(G.wireframeLinewidth * Pe()), Je.setMode(N.LINES)) : Je.setMode(N.TRIANGLES); + else if (O.isLine) { + let He = G.linewidth; + He === void 0 && (He = 1), pe.setLineWidth(He * Pe()), O.isLineSegments ? Je.setMode(N.LINES) : O.isLineLoop ? Je.setMode(N.LINE_LOOP) : Je.setMode(N.LINE_STRIP); + } else O.isPoints ? Je.setMode(N.POINTS) : O.isSprite && Je.setMode(N.TRIANGLES); + if (O.isBatchedMesh) + Je.renderMultiDraw(O._multiDrawStarts, O._multiDrawCounts, O._multiDrawCount); + else if (O.isInstancedMesh) + Je.renderInstances(it, ct, O.count); + else if (B.isInstancedBufferGeometry) { + const He = B._maxInstanceCount !== void 0 ? B._maxInstanceCount : 1 / 0, lr = Math.min(B.instanceCount, He); + Je.renderInstances(it, ct, lr); + } else + Je.render(it, ct); + }; + function ke(E, U, B) { + E.transparent === !0 && E.side === Kt && E.forceSinglePass === !1 ? (E.side = Mt, E.needsUpdate = !0, Ei(E, U, B), E.side = un, E.needsUpdate = !0, Ei(E, U, B), E.side = Kt) : Ei(E, U, B); + } + this.compile = function(E, U, B = null) { + B === null && (B = E), f = ye.get(B), f.init(), b.push(f), B.traverseVisible(function(O) { + O.isLight && O.layers.test(U.layers) && (f.pushLight(O), O.castShadow && f.pushShadow(O)); + }), E !== B && E.traverseVisible(function(O) { + O.isLight && O.layers.test(U.layers) && (f.pushLight(O), O.castShadow && f.pushShadow(O)); + }), f.setupLights(S._useLegacyLights); + const G = /* @__PURE__ */ new Set(); + return E.traverse(function(O) { + const de = O.material; + if (de) + if (Array.isArray(de)) + for (let Se = 0; Se < de.length; Se++) { + const Le = de[Se]; + ke(Le, B, O), G.add(Le); + } + else + ke(de, B, O), G.add(de); + }), b.pop(), f = null, G; + }, this.compileAsync = function(E, U, B = null) { + const G = this.compile(E, U, B); + return new Promise((O) => { + function de() { + if (G.forEach(function(Se) { + be.get(Se).currentProgram.isReady() && G.delete(Se); + }), G.size === 0) { + O(E); + return; + } + setTimeout(de, 10); + } + Me.get("KHR_parallel_shader_compile") !== null ? de() : setTimeout(de, 10); + }); + }; + let We = null; + function et(E) { + We && We(E); + } + function nt() { + st.stop(); + } + function qe() { + st.start(); + } + const st = new Do(); + st.setAnimationLoop(et), typeof self < "u" && st.setContext(self), this.setAnimationLoop = function(E) { + We = E, fe.setAnimationLoop(E), E === null ? st.stop() : st.start(); + }, fe.addEventListener("sessionstart", nt), fe.addEventListener("sessionend", qe), this.render = function(E, U) { + if (U !== void 0 && U.isCamera !== !0) { + console.error("THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera."); + return; + } + if (R === !0) return; + E.matrixWorldAutoUpdate === !0 && E.updateMatrixWorld(), U.parent === null && U.matrixWorldAutoUpdate === !0 && U.updateMatrixWorld(), fe.enabled === !0 && fe.isPresenting === !0 && (fe.cameraAutoUpdate === !0 && fe.updateCamera(U), U = fe.getCamera()), E.isScene === !0 && E.onBeforeRender(S, E, U, A), f = ye.get(E, b.length), f.init(), b.push(f), _e.multiplyMatrices(U.projectionMatrix, U.matrixWorldInverse), H.setFromProjectionMatrix(_e), oe = this.localClippingEnabled, j = Fe.init(this.clippingPlanes, oe), v = he.get(E, u.length), v.init(), u.push(v), zt(E, U, 0, S.sortObjects), v.finish(), S.sortObjects === !0 && v.sort(X, k), this.info.render.frame++, j === !0 && Fe.beginShadows(); + const B = f.state.shadowsArray; + if (ee.render(B, E, U), j === !0 && Fe.endShadows(), this.info.autoReset === !0 && this.info.reset(), Ye.render(v, E), f.setupLights(S._useLegacyLights), U.isArrayCamera) { + const G = U.cameras; + for (let O = 0, de = G.length; O < de; O++) { + const Se = G[O]; + ps(v, E, Se, Se.viewport); + } + } else + ps(v, E, U); + A !== null && (M.updateMultisampleRenderTarget(A), M.updateRenderTargetMipmap(A)), E.isScene === !0 && E.onAfterRender(S, E, U), T.resetDefaultState(), W = -1, x = null, b.pop(), b.length > 0 ? f = b[b.length - 1] : f = null, u.pop(), u.length > 0 ? v = u[u.length - 1] : v = null; + }; + function zt(E, U, B, G) { + if (E.visible === !1) return; + if (E.layers.test(U.layers)) { + if (E.isGroup) + B = E.renderOrder; + else if (E.isLOD) + E.autoUpdate === !0 && E.update(U); + else if (E.isLight) + f.pushLight(E), E.castShadow && f.pushShadow(E); + else if (E.isSprite) { + if (!E.frustumCulled || H.intersectsSprite(E)) { + G && Ae.setFromMatrixPosition(E.matrixWorld).applyMatrix4(_e); + const Se = J.update(E), Le = E.material; + Le.visible && v.push(E, Se, Le, B, Ae.z, null); + } + } else if ((E.isMesh || E.isLine || E.isPoints) && (!E.frustumCulled || H.intersectsObject(E))) { + const Se = J.update(E), Le = E.material; + if (G && (E.boundingSphere !== void 0 ? (E.boundingSphere === null && E.computeBoundingSphere(), Ae.copy(E.boundingSphere.center)) : (Se.boundingSphere === null && Se.computeBoundingSphere(), Ae.copy(Se.boundingSphere.center)), Ae.applyMatrix4(E.matrixWorld).applyMatrix4(_e)), Array.isArray(Le)) { + const Ue = Se.groups; + for (let Ge = 0, Ne = Ue.length; Ge < Ne; Ge++) { + const Oe = Ue[Ge], it = Le[Oe.materialIndex]; + it && it.visible && v.push(E, Se, it, B, Ae.z, Oe); + } + } else Le.visible && v.push(E, Se, Le, B, Ae.z, null); + } + } + const de = E.children; + for (let Se = 0, Le = de.length; Se < Le; Se++) + zt(de[Se], U, B, G); + } + function ps(E, U, B, G) { + const O = E.opaque, de = E.transmissive, Se = E.transparent; + f.setupLightsView(B), j === !0 && Fe.setGlobalState(S.clippingPlanes, B), de.length > 0 && Vo(O, de, U, B), G && pe.viewport(y.copy(G)), O.length > 0 && Si(O, U, B), de.length > 0 && Si(de, U, B), Se.length > 0 && Si(Se, U, B), pe.buffers.depth.setTest(!0), pe.buffers.depth.setMask(!0), pe.buffers.color.setMask(!0), pe.setPolygonOffset(!1); + } + function Vo(E, U, B, G) { + if ((B.isScene === !0 ? B.overrideMaterial : null) !== null) + return; + const de = Re.isWebGL2; + ve === null && (ve = new bn(1, 1, { + generateMipmaps: !0, + type: Me.has("EXT_color_buffer_half_float") ? gi : cn, + minFilter: _i, + samples: de ? 4 : 0 + })), S.getDrawingBufferSize(we), de ? ve.setSize(we.x, we.y) : ve.setSize(is(we.x), is(we.y)); + const Se = S.getRenderTarget(); + S.setRenderTarget(ve), S.getClearColor(re), L = S.getClearAlpha(), L < 1 && S.setClearColor(16777215, 0.5), S.clear(); + const Le = S.toneMapping; + S.toneMapping = ln, Si(E, B, G), M.updateMultisampleRenderTarget(ve), M.updateRenderTargetMipmap(ve); + let Ue = !1; + for (let Ge = 0, Ne = U.length; Ge < Ne; Ge++) { + const Oe = U[Ge], it = Oe.object, St = Oe.geometry, ct = Oe.material, Vt = Oe.group; + if (ct.side === Kt && it.layers.test(G.layers)) { + const Je = ct.side; + ct.side = Mt, ct.needsUpdate = !0, ms(it, B, G, St, ct, Vt), ct.side = Je, ct.needsUpdate = !0, Ue = !0; + } + } + Ue === !0 && (M.updateMultisampleRenderTarget(ve), M.updateRenderTargetMipmap(ve)), S.setRenderTarget(Se), S.setClearColor(re, L), S.toneMapping = Le; + } + function Si(E, U, B) { + const G = U.isScene === !0 ? U.overrideMaterial : null; + for (let O = 0, de = E.length; O < de; O++) { + const Se = E[O], Le = Se.object, Ue = Se.geometry, Ge = G === null ? Se.material : G, Ne = Se.group; + Le.layers.test(B.layers) && ms(Le, U, B, Ue, Ge, Ne); + } + } + function ms(E, U, B, G, O, de) { + E.onBeforeRender(S, U, B, G, O, de), E.modelViewMatrix.multiplyMatrices(B.matrixWorldInverse, E.matrixWorld), E.normalMatrix.getNormalMatrix(E.modelViewMatrix), O.onBeforeRender(S, U, B, G, E, de), O.transparent === !0 && O.side === Kt && O.forceSinglePass === !1 ? (O.side = Mt, O.needsUpdate = !0, S.renderBufferDirect(B, U, G, O, E, de), O.side = un, O.needsUpdate = !0, S.renderBufferDirect(B, U, G, O, E, de), O.side = Kt) : S.renderBufferDirect(B, U, G, O, E, de), E.onAfterRender(S, U, B, G, O, de); + } + function Ei(E, U, B) { + U.isScene !== !0 && (U = ge); + const G = be.get(E), O = f.state.lights, de = f.state.shadowsArray, Se = O.state.version, Le = me.getParameters(E, O.state, de, U, B), Ue = me.getProgramCacheKey(Le); + let Ge = G.programs; + G.environment = E.isMeshStandardMaterial ? U.environment : null, G.fog = U.fog, G.envMap = (E.isMeshStandardMaterial ? I : _).get(E.envMap || G.environment), Ge === void 0 && (E.addEventListener("dispose", le), Ge = /* @__PURE__ */ new Map(), G.programs = Ge); + let Ne = Ge.get(Ue); + if (Ne !== void 0) { + if (G.currentProgram === Ne && G.lightsStateVersion === Se) + return gs(E, Le), Ne; + } else + Le.uniforms = me.getUniforms(E), E.onBuild(B, Le, S), E.onBeforeCompile(Le, S), Ne = me.acquireProgram(Le, Ue), Ge.set(Ue, Ne), G.uniforms = Le.uniforms; + const Oe = G.uniforms; + return (!E.isShaderMaterial && !E.isRawShaderMaterial || E.clipping === !0) && (Oe.clippingPlanes = Fe.uniform), gs(E, Le), G.needsLights = Xo(E), G.lightsStateVersion = Se, G.needsLights && (Oe.ambientLightColor.value = O.state.ambient, Oe.lightProbe.value = O.state.probe, Oe.directionalLights.value = O.state.directional, Oe.directionalLightShadows.value = O.state.directionalShadow, Oe.spotLights.value = O.state.spot, Oe.spotLightShadows.value = O.state.spotShadow, Oe.rectAreaLights.value = O.state.rectArea, Oe.ltc_1.value = O.state.rectAreaLTC1, Oe.ltc_2.value = O.state.rectAreaLTC2, Oe.pointLights.value = O.state.point, Oe.pointLightShadows.value = O.state.pointShadow, Oe.hemisphereLights.value = O.state.hemi, Oe.directionalShadowMap.value = O.state.directionalShadowMap, Oe.directionalShadowMatrix.value = O.state.directionalShadowMatrix, Oe.spotShadowMap.value = O.state.spotShadowMap, Oe.spotLightMatrix.value = O.state.spotLightMatrix, Oe.spotLightMap.value = O.state.spotLightMap, Oe.pointShadowMap.value = O.state.pointShadowMap, Oe.pointShadowMatrix.value = O.state.pointShadowMatrix), G.currentProgram = Ne, G.uniformsList = null, Ne; + } + function _s(E) { + if (E.uniformsList === null) { + const U = E.currentProgram.getUniforms(); + E.uniformsList = Zi.seqWithValue(U.seq, E.uniforms); + } + return E.uniformsList; + } + function gs(E, U) { + const B = be.get(E); + B.outputColorSpace = U.outputColorSpace, B.batching = U.batching, B.instancing = U.instancing, B.instancingColor = U.instancingColor, B.skinning = U.skinning, B.morphTargets = U.morphTargets, B.morphNormals = U.morphNormals, B.morphColors = U.morphColors, B.morphTargetsCount = U.morphTargetsCount, B.numClippingPlanes = U.numClippingPlanes, B.numIntersection = U.numClipIntersection, B.vertexAlphas = U.vertexAlphas, B.vertexTangents = U.vertexTangents, B.toneMapping = U.toneMapping; + } + function ko(E, U, B, G, O) { + U.isScene !== !0 && (U = ge), M.resetTextureUnits(); + const de = U.fog, Se = G.isMeshStandardMaterial ? U.environment : null, Le = A === null ? S.outputColorSpace : A.isXRRenderTarget === !0 ? A.texture.colorSpace : $t, Ue = (G.isMeshStandardMaterial ? I : _).get(G.envMap || Se), Ge = G.vertexColors === !0 && !!B.attributes.color && B.attributes.color.itemSize === 4, Ne = !!B.attributes.tangent && (!!G.normalMap || G.anisotropy > 0), Oe = !!B.morphAttributes.position, it = !!B.morphAttributes.normal, St = !!B.morphAttributes.color; + let ct = ln; + G.toneMapped && (A === null || A.isXRRenderTarget === !0) && (ct = S.toneMapping); + const Vt = B.morphAttributes.position || B.morphAttributes.normal || B.morphAttributes.color, Je = Vt !== void 0 ? Vt.length : 0, He = be.get(G), lr = f.state.lights; + if (j === !0 && (oe === !0 || E !== x)) { + const At = E === x && G.id === W; + Fe.setState(G, E, At); + } + let tt = !1; + G.version === He.__version ? (He.needsLights && He.lightsStateVersion !== lr.state.version || He.outputColorSpace !== Le || O.isBatchedMesh && He.batching === !1 || !O.isBatchedMesh && He.batching === !0 || O.isInstancedMesh && He.instancing === !1 || !O.isInstancedMesh && He.instancing === !0 || O.isSkinnedMesh && He.skinning === !1 || !O.isSkinnedMesh && He.skinning === !0 || O.isInstancedMesh && He.instancingColor === !0 && O.instanceColor === null || O.isInstancedMesh && He.instancingColor === !1 && O.instanceColor !== null || He.envMap !== Ue || G.fog === !0 && He.fog !== de || He.numClippingPlanes !== void 0 && (He.numClippingPlanes !== Fe.numPlanes || He.numIntersection !== Fe.numIntersection) || He.vertexAlphas !== Ge || He.vertexTangents !== Ne || He.morphTargets !== Oe || He.morphNormals !== it || He.morphColors !== St || He.toneMapping !== ct || Re.isWebGL2 === !0 && He.morphTargetsCount !== Je) && (tt = !0) : (tt = !0, He.__version = G.version); + let dn = He.currentProgram; + tt === !0 && (dn = Ei(G, U, O)); + let vs = !1, si = !1, cr = !1; + const ft = dn.getUniforms(), fn = He.uniforms; + if (pe.useProgram(dn.program) && (vs = !0, si = !0, cr = !0), G.id !== W && (W = G.id, si = !0), vs || x !== E) { + ft.setValue(N, "projectionMatrix", E.projectionMatrix), ft.setValue(N, "viewMatrix", E.matrixWorldInverse); + const At = ft.map.cameraPosition; + At !== void 0 && At.setValue(N, Ae.setFromMatrixPosition(E.matrixWorld)), Re.logarithmicDepthBuffer && ft.setValue( + N, + "logDepthBufFC", + 2 / (Math.log(E.far + 1) / Math.LN2) + ), (G.isMeshPhongMaterial || G.isMeshToonMaterial || G.isMeshLambertMaterial || G.isMeshBasicMaterial || G.isMeshStandardMaterial || G.isShaderMaterial) && ft.setValue(N, "isOrthographic", E.isOrthographicCamera === !0), x !== E && (x = E, si = !0, cr = !0); + } + if (O.isSkinnedMesh) { + ft.setOptional(N, O, "bindMatrix"), ft.setOptional(N, O, "bindMatrixInverse"); + const At = O.skeleton; + At && (Re.floatVertexTextures ? (At.boneTexture === null && At.computeBoneTexture(), ft.setValue(N, "boneTexture", At.boneTexture, M)) : console.warn("THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required.")); + } + O.isBatchedMesh && (ft.setOptional(N, O, "batchingTexture"), ft.setValue(N, "batchingTexture", O._matricesTexture, M)); + const ur = B.morphAttributes; + if ((ur.position !== void 0 || ur.normal !== void 0 || ur.color !== void 0 && Re.isWebGL2 === !0) && ze.update(O, B, dn), (si || He.receiveShadow !== O.receiveShadow) && (He.receiveShadow = O.receiveShadow, ft.setValue(N, "receiveShadow", O.receiveShadow)), G.isMeshGouraudMaterial && G.envMap !== null && (fn.envMap.value = Ue, fn.flipEnvMap.value = Ue.isCubeTexture && Ue.isRenderTargetTexture === !1 ? -1 : 1), si && (ft.setValue(N, "toneMappingExposure", S.toneMappingExposure), He.needsLights && Wo(fn, cr), de && G.fog === !0 && ae.refreshFogUniforms(fn, de), ae.refreshMaterialUniforms(fn, G, Y, V, ve), Zi.upload(N, _s(He), fn, M)), G.isShaderMaterial && G.uniformsNeedUpdate === !0 && (Zi.upload(N, _s(He), fn, M), G.uniformsNeedUpdate = !1), G.isSpriteMaterial && ft.setValue(N, "center", O.center), ft.setValue(N, "modelViewMatrix", O.modelViewMatrix), ft.setValue(N, "normalMatrix", O.normalMatrix), ft.setValue(N, "modelMatrix", O.matrixWorld), G.isShaderMaterial || G.isRawShaderMaterial) { + const At = G.uniformsGroups; + for (let hr = 0, qo = At.length; hr < qo; hr++) + if (Re.isWebGL2) { + const xs = At[hr]; + ne.update(xs, dn), ne.bind(xs, dn); + } else + console.warn("THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2."); + } + return dn; + } + function Wo(E, U) { + E.ambientLightColor.needsUpdate = U, E.lightProbe.needsUpdate = U, E.directionalLights.needsUpdate = U, E.directionalLightShadows.needsUpdate = U, E.pointLights.needsUpdate = U, E.pointLightShadows.needsUpdate = U, E.spotLights.needsUpdate = U, E.spotLightShadows.needsUpdate = U, E.rectAreaLights.needsUpdate = U, E.hemisphereLights.needsUpdate = U; + } + function Xo(E) { + return E.isMeshLambertMaterial || E.isMeshToonMaterial || E.isMeshPhongMaterial || E.isMeshStandardMaterial || E.isShadowMaterial || E.isShaderMaterial && E.lights === !0; + } + this.getActiveCubeFace = function() { + return D; + }, this.getActiveMipmapLevel = function() { + return C; + }, this.getRenderTarget = function() { + return A; + }, this.setRenderTargetTextures = function(E, U, B) { + be.get(E.texture).__webglTexture = U, be.get(E.depthTexture).__webglTexture = B; + const G = be.get(E); + G.__hasExternalTextures = !0, G.__hasExternalTextures && (G.__autoAllocateDepthBuffer = B === void 0, G.__autoAllocateDepthBuffer || Me.has("WEBGL_multisampled_render_to_texture") === !0 && (console.warn("THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided"), G.__useRenderToTexture = !1)); + }, this.setRenderTargetFramebuffer = function(E, U) { + const B = be.get(E); + B.__webglFramebuffer = U, B.__useDefaultFramebuffer = U === void 0; + }, this.setRenderTarget = function(E, U = 0, B = 0) { + A = E, D = U, C = B; + let G = !0, O = null, de = !1, Se = !1; + if (E) { + const Ue = be.get(E); + Ue.__useDefaultFramebuffer !== void 0 ? (pe.bindFramebuffer(N.FRAMEBUFFER, null), G = !1) : Ue.__webglFramebuffer === void 0 ? M.setupRenderTarget(E) : Ue.__hasExternalTextures && M.rebindTextures(E, be.get(E.texture).__webglTexture, be.get(E.depthTexture).__webglTexture); + const Ge = E.texture; + (Ge.isData3DTexture || Ge.isDataArrayTexture || Ge.isCompressedArrayTexture) && (Se = !0); + const Ne = be.get(E).__webglFramebuffer; + E.isWebGLCubeRenderTarget ? (Array.isArray(Ne[U]) ? O = Ne[U][B] : O = Ne[U], de = !0) : Re.isWebGL2 && E.samples > 0 && M.useMultisampledRTT(E) === !1 ? O = be.get(E).__webglMultisampledFramebuffer : Array.isArray(Ne) ? O = Ne[B] : O = Ne, y.copy(E.viewport), z.copy(E.scissor), Z = E.scissorTest; + } else + y.copy(q).multiplyScalar(Y).floor(), z.copy(Q).multiplyScalar(Y).floor(), Z = ce; + if (pe.bindFramebuffer(N.FRAMEBUFFER, O) && Re.drawBuffers && G && pe.drawBuffers(E, O), pe.viewport(y), pe.scissor(z), pe.setScissorTest(Z), de) { + const Ue = be.get(E.texture); + N.framebufferTexture2D(N.FRAMEBUFFER, N.COLOR_ATTACHMENT0, N.TEXTURE_CUBE_MAP_POSITIVE_X + U, Ue.__webglTexture, B); + } else if (Se) { + const Ue = be.get(E.texture), Ge = U || 0; + N.framebufferTextureLayer(N.FRAMEBUFFER, N.COLOR_ATTACHMENT0, Ue.__webglTexture, B || 0, Ge); + } + W = -1; + }, this.readRenderTargetPixels = function(E, U, B, G, O, de, Se) { + if (!(E && E.isWebGLRenderTarget)) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget."); + return; + } + let Le = be.get(E).__webglFramebuffer; + if (E.isWebGLCubeRenderTarget && Se !== void 0 && (Le = Le[Se]), Le) { + pe.bindFramebuffer(N.FRAMEBUFFER, Le); + try { + const Ue = E.texture, Ge = Ue.format, Ne = Ue.type; + if (Ge !== Ft && ue.convert(Ge) !== N.getParameter(N.IMPLEMENTATION_COLOR_READ_FORMAT)) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format."); + return; + } + const Oe = Ne === gi && (Me.has("EXT_color_buffer_half_float") || Re.isWebGL2 && Me.has("EXT_color_buffer_float")); + if (Ne !== cn && ue.convert(Ne) !== N.getParameter(N.IMPLEMENTATION_COLOR_READ_TYPE) && // Edge and Chrome Mac < 52 (#9513) + !(Ne === an && (Re.isWebGL2 || Me.has("OES_texture_float") || Me.has("WEBGL_color_buffer_float"))) && // Chrome Mac >= 52 and Firefox + !Oe) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type."); + return; + } + U >= 0 && U <= E.width - G && B >= 0 && B <= E.height - O && N.readPixels(U, B, G, O, ue.convert(Ge), ue.convert(Ne), de); + } finally { + const Ue = A !== null ? be.get(A).__webglFramebuffer : null; + pe.bindFramebuffer(N.FRAMEBUFFER, Ue); + } + } + }, this.copyFramebufferToTexture = function(E, U, B = 0) { + const G = Math.pow(2, -B), O = Math.floor(U.image.width * G), de = Math.floor(U.image.height * G); + M.setTexture2D(U, 0), N.copyTexSubImage2D(N.TEXTURE_2D, B, 0, 0, E.x, E.y, O, de), pe.unbindTexture(); + }, this.copyTextureToTexture = function(E, U, B, G = 0) { + const O = U.image.width, de = U.image.height, Se = ue.convert(B.format), Le = ue.convert(B.type); + M.setTexture2D(B, 0), N.pixelStorei(N.UNPACK_FLIP_Y_WEBGL, B.flipY), N.pixelStorei(N.UNPACK_PREMULTIPLY_ALPHA_WEBGL, B.premultiplyAlpha), N.pixelStorei(N.UNPACK_ALIGNMENT, B.unpackAlignment), U.isDataTexture ? N.texSubImage2D(N.TEXTURE_2D, G, E.x, E.y, O, de, Se, Le, U.image.data) : U.isCompressedTexture ? N.compressedTexSubImage2D(N.TEXTURE_2D, G, E.x, E.y, U.mipmaps[0].width, U.mipmaps[0].height, Se, U.mipmaps[0].data) : N.texSubImage2D(N.TEXTURE_2D, G, E.x, E.y, Se, Le, U.image), G === 0 && B.generateMipmaps && N.generateMipmap(N.TEXTURE_2D), pe.unbindTexture(); + }, this.copyTextureToTexture3D = function(E, U, B, G, O = 0) { + if (S.isWebGL1Renderer) { + console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2."); + return; + } + const de = E.max.x - E.min.x + 1, Se = E.max.y - E.min.y + 1, Le = E.max.z - E.min.z + 1, Ue = ue.convert(G.format), Ge = ue.convert(G.type); + let Ne; + if (G.isData3DTexture) + M.setTexture3D(G, 0), Ne = N.TEXTURE_3D; + else if (G.isDataArrayTexture || G.isCompressedArrayTexture) + M.setTexture2DArray(G, 0), Ne = N.TEXTURE_2D_ARRAY; + else { + console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray."); + return; + } + N.pixelStorei(N.UNPACK_FLIP_Y_WEBGL, G.flipY), N.pixelStorei(N.UNPACK_PREMULTIPLY_ALPHA_WEBGL, G.premultiplyAlpha), N.pixelStorei(N.UNPACK_ALIGNMENT, G.unpackAlignment); + const Oe = N.getParameter(N.UNPACK_ROW_LENGTH), it = N.getParameter(N.UNPACK_IMAGE_HEIGHT), St = N.getParameter(N.UNPACK_SKIP_PIXELS), ct = N.getParameter(N.UNPACK_SKIP_ROWS), Vt = N.getParameter(N.UNPACK_SKIP_IMAGES), Je = B.isCompressedTexture ? B.mipmaps[O] : B.image; + N.pixelStorei(N.UNPACK_ROW_LENGTH, Je.width), N.pixelStorei(N.UNPACK_IMAGE_HEIGHT, Je.height), N.pixelStorei(N.UNPACK_SKIP_PIXELS, E.min.x), N.pixelStorei(N.UNPACK_SKIP_ROWS, E.min.y), N.pixelStorei(N.UNPACK_SKIP_IMAGES, E.min.z), B.isDataTexture || B.isData3DTexture ? N.texSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Ge, Je.data) : B.isCompressedArrayTexture ? (console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture."), N.compressedTexSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Je.data)) : N.texSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Ge, Je), N.pixelStorei(N.UNPACK_ROW_LENGTH, Oe), N.pixelStorei(N.UNPACK_IMAGE_HEIGHT, it), N.pixelStorei(N.UNPACK_SKIP_PIXELS, St), N.pixelStorei(N.UNPACK_SKIP_ROWS, ct), N.pixelStorei(N.UNPACK_SKIP_IMAGES, Vt), O === 0 && G.generateMipmaps && N.generateMipmap(Ne), pe.unbindTexture(); + }, this.initTexture = function(E) { + E.isCubeTexture ? M.setTextureCube(E, 0) : E.isData3DTexture ? M.setTexture3D(E, 0) : E.isDataArrayTexture || E.isCompressedArrayTexture ? M.setTexture2DArray(E, 0) : M.setTexture2D(E, 0), pe.unbindTexture(); + }, this.resetState = function() { + D = 0, C = 0, A = null, pe.reset(), T.reset(); + }, typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe", { detail: this })); + } + get coordinateSystem() { + return Zt; + } + get outputColorSpace() { + return this._outputColorSpace; + } + set outputColorSpace(e) { + this._outputColorSpace = e; + const t = this.getContext(); + t.drawingBufferColorSpace = e === os ? "display-p3" : "srgb", t.unpackColorSpace = Ke.workingColorSpace === sr ? "display-p3" : "srgb"; + } + get outputEncoding() { + return console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."), this.outputColorSpace === ht ? Tn : go; + } + set outputEncoding(e) { + console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."), this.outputColorSpace = e === Tn ? ht : $t; + } + get useLegacyLights() { + return console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."), this._useLegacyLights; + } + set useLegacyLights(e) { + console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."), this._useLegacyLights = e; + } +} +class Qf extends Go { +} +Qf.prototype.isWebGL1Renderer = !0; +class ir { + constructor(e, t = 25e-5) { + this.isFogExp2 = !0, this.name = "", this.color = new Xe(e), this.density = t; + } + clone() { + return new ir(this.color, this.density); + } + toJSON() { + return { + type: "FogExp2", + name: this.name, + color: this.color.getHex(), + density: this.density + }; + } +} +class Ha extends dt { + constructor() { + super(), this.isScene = !0, this.type = "Scene", this.background = null, this.environment = null, this.fog = null, this.backgroundBlurriness = 0, this.backgroundIntensity = 1, this.overrideMaterial = null, typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe", { detail: this })); + } + copy(e, t) { + return super.copy(e, t), e.background !== null && (this.background = e.background.clone()), e.environment !== null && (this.environment = e.environment.clone()), e.fog !== null && (this.fog = e.fog.clone()), this.backgroundBlurriness = e.backgroundBlurriness, this.backgroundIntensity = e.backgroundIntensity, e.overrideMaterial !== null && (this.overrideMaterial = e.overrideMaterial.clone()), this.matrixAutoUpdate = e.matrixAutoUpdate, this; + } + toJSON(e) { + const t = super.toJSON(e); + return this.fog !== null && (t.object.fog = this.fog.toJSON()), this.backgroundBlurriness > 0 && (t.object.backgroundBlurriness = this.backgroundBlurriness), this.backgroundIntensity !== 1 && (t.object.backgroundIntensity = this.backgroundIntensity), t; + } +} +class Va extends Bt { + constructor(e, t, n, r = 1) { + super(e, t, n), this.isInstancedBufferAttribute = !0, this.meshPerAttribute = r; + } + copy(e) { + return super.copy(e), this.meshPerAttribute = e.meshPerAttribute, this; + } + toJSON() { + const e = super.toJSON(); + return e.meshPerAttribute = this.meshPerAttribute, e.isInstancedBufferAttribute = !0, e; + } +} +const jn = /* @__PURE__ */ new Qe(), ka = /* @__PURE__ */ new Qe(), Yi = [], Wa = /* @__PURE__ */ new Cn(), ep = /* @__PURE__ */ new Qe(), di = /* @__PURE__ */ new Ot(), fi = /* @__PURE__ */ new xi(); +class Xa extends Ot { + constructor(e, t, n) { + super(e, t), this.isInstancedMesh = !0, this.instanceMatrix = new Va(new Float32Array(n * 16), 16), this.instanceColor = null, this.count = n, this.boundingBox = null, this.boundingSphere = null; + for (let r = 0; r < n; r++) + this.setMatrixAt(r, ep); + } + computeBoundingBox() { + const e = this.geometry, t = this.count; + this.boundingBox === null && (this.boundingBox = new Cn()), e.boundingBox === null && e.computeBoundingBox(), this.boundingBox.makeEmpty(); + for (let n = 0; n < t; n++) + this.getMatrixAt(n, jn), Wa.copy(e.boundingBox).applyMatrix4(jn), this.boundingBox.union(Wa); + } + computeBoundingSphere() { + const e = this.geometry, t = this.count; + this.boundingSphere === null && (this.boundingSphere = new xi()), e.boundingSphere === null && e.computeBoundingSphere(), this.boundingSphere.makeEmpty(); + for (let n = 0; n < t; n++) + this.getMatrixAt(n, jn), fi.copy(e.boundingSphere).applyMatrix4(jn), this.boundingSphere.union(fi); + } + copy(e, t) { + return super.copy(e, t), this.instanceMatrix.copy(e.instanceMatrix), e.instanceColor !== null && (this.instanceColor = e.instanceColor.clone()), this.count = e.count, e.boundingBox !== null && (this.boundingBox = e.boundingBox.clone()), e.boundingSphere !== null && (this.boundingSphere = e.boundingSphere.clone()), this; + } + getColorAt(e, t) { + t.fromArray(this.instanceColor.array, e * 3); + } + getMatrixAt(e, t) { + t.fromArray(this.instanceMatrix.array, e * 16); + } + raycast(e, t) { + const n = this.matrixWorld, r = this.count; + if (di.geometry = this.geometry, di.material = this.material, di.material !== void 0 && (this.boundingSphere === null && this.computeBoundingSphere(), fi.copy(this.boundingSphere), fi.applyMatrix4(n), e.ray.intersectsSphere(fi) !== !1)) + for (let s = 0; s < r; s++) { + this.getMatrixAt(s, jn), ka.multiplyMatrices(n, jn), di.matrixWorld = ka, di.raycast(e, Yi); + for (let o = 0, a = Yi.length; o < a; o++) { + const l = Yi[o]; + l.instanceId = s, l.object = this, t.push(l); + } + Yi.length = 0; + } + } + setColorAt(e, t) { + this.instanceColor === null && (this.instanceColor = new Va(new Float32Array(this.instanceMatrix.count * 3), 3)), t.toArray(this.instanceColor.array, e * 3); + } + setMatrixAt(e, t) { + t.toArray(this.instanceMatrix.array, e * 16); + } + updateMorphTargets() { + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +class ds extends hn { + constructor(e = 1, t = 0.4, n = 12, r = 48, s = Math.PI * 2) { + super(), this.type = "TorusGeometry", this.parameters = { + radius: e, + tube: t, + radialSegments: n, + tubularSegments: r, + arc: s + }, n = Math.floor(n), r = Math.floor(r); + const o = [], a = [], l = [], c = [], h = new P(), d = new P(), p = new P(); + for (let m = 0; m <= n; m++) + for (let g = 0; g <= r; g++) { + const v = g / r * s, f = m / n * Math.PI * 2; + d.x = (e + t * Math.cos(f)) * Math.cos(v), d.y = (e + t * Math.cos(f)) * Math.sin(v), d.z = t * Math.sin(f), a.push(d.x, d.y, d.z), h.x = e * Math.cos(v), h.y = e * Math.sin(v), p.subVectors(d, h).normalize(), l.push(p.x, p.y, p.z), c.push(g / r), c.push(m / n); + } + for (let m = 1; m <= n; m++) + for (let g = 1; g <= r; g++) { + const v = (r + 1) * m + g - 1, f = (r + 1) * (m - 1) + g - 1, u = (r + 1) * (m - 1) + g, b = (r + 1) * m + g; + o.push(v, f, b), o.push(f, u, b); + } + this.setIndex(o), this.setAttribute("position", new Ht(a, 3)), this.setAttribute("normal", new Ht(l, 3)), this.setAttribute("uv", new Ht(c, 2)); + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new ds(e.radius, e.tube, e.radialSegments, e.tubularSegments, e.arc); + } +} +class qa extends Mi { + constructor(e) { + super(), this.isMeshStandardMaterial = !0, this.defines = { STANDARD: "" }, this.type = "MeshStandardMaterial", this.color = new Xe(16777215), this.roughness = 1, this.metalness = 0, this.map = null, this.lightMap = null, this.lightMapIntensity = 1, this.aoMap = null, this.aoMapIntensity = 1, this.emissive = new Xe(0), this.emissiveIntensity = 1, this.emissiveMap = null, this.bumpMap = null, this.bumpScale = 1, this.normalMap = null, this.normalMapType = vo, this.normalScale = new Ie(1, 1), this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.roughnessMap = null, this.metalnessMap = null, this.alphaMap = null, this.envMap = null, this.envMapIntensity = 1, this.wireframe = !1, this.wireframeLinewidth = 1, this.wireframeLinecap = "round", this.wireframeLinejoin = "round", this.flatShading = !1, this.fog = !0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.defines = { STANDARD: "" }, this.color.copy(e.color), this.roughness = e.roughness, this.metalness = e.metalness, this.map = e.map, this.lightMap = e.lightMap, this.lightMapIntensity = e.lightMapIntensity, this.aoMap = e.aoMap, this.aoMapIntensity = e.aoMapIntensity, this.emissive.copy(e.emissive), this.emissiveMap = e.emissiveMap, this.emissiveIntensity = e.emissiveIntensity, this.bumpMap = e.bumpMap, this.bumpScale = e.bumpScale, this.normalMap = e.normalMap, this.normalMapType = e.normalMapType, this.normalScale.copy(e.normalScale), this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this.roughnessMap = e.roughnessMap, this.metalnessMap = e.metalnessMap, this.alphaMap = e.alphaMap, this.envMap = e.envMap, this.envMapIntensity = e.envMapIntensity, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.wireframeLinecap = e.wireframeLinecap, this.wireframeLinejoin = e.wireframeLinejoin, this.flatShading = e.flatShading, this.fog = e.fog, this; + } +} +class fs extends dt { + constructor(e, t = 1) { + super(), this.isLight = !0, this.type = "Light", this.color = new Xe(e), this.intensity = t; + } + dispose() { + } + copy(e, t) { + return super.copy(e, t), this.color.copy(e.color), this.intensity = e.intensity, this; + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.color = this.color.getHex(), t.object.intensity = this.intensity, this.groundColor !== void 0 && (t.object.groundColor = this.groundColor.getHex()), this.distance !== void 0 && (t.object.distance = this.distance), this.angle !== void 0 && (t.object.angle = this.angle), this.decay !== void 0 && (t.object.decay = this.decay), this.penumbra !== void 0 && (t.object.penumbra = this.penumbra), this.shadow !== void 0 && (t.object.shadow = this.shadow.toJSON()), t; + } +} +const Wr = /* @__PURE__ */ new Qe(), Ya = /* @__PURE__ */ new P(), ja = /* @__PURE__ */ new P(); +class Ho { + constructor(e) { + this.camera = e, this.bias = 0, this.normalBias = 0, this.radius = 1, this.blurSamples = 8, this.mapSize = new Ie(512, 512), this.map = null, this.mapPass = null, this.matrix = new Qe(), this.autoUpdate = !0, this.needsUpdate = !1, this._frustum = new cs(), this._frameExtents = new Ie(1, 1), this._viewportCount = 1, this._viewports = [ + new $e(0, 0, 1, 1) + ]; + } + getViewportCount() { + return this._viewportCount; + } + getFrustum() { + return this._frustum; + } + updateMatrices(e) { + const t = this.camera, n = this.matrix; + Ya.setFromMatrixPosition(e.matrixWorld), t.position.copy(Ya), ja.setFromMatrixPosition(e.target.matrixWorld), t.lookAt(ja), t.updateMatrixWorld(), Wr.multiplyMatrices(t.projectionMatrix, t.matrixWorldInverse), this._frustum.setFromProjectionMatrix(Wr), n.set( + 0.5, + 0, + 0, + 0.5, + 0, + 0.5, + 0, + 0.5, + 0, + 0, + 0.5, + 0.5, + 0, + 0, + 0, + 1 + ), n.multiply(Wr); + } + getViewport(e) { + return this._viewports[e]; + } + getFrameExtents() { + return this._frameExtents; + } + dispose() { + this.map && this.map.dispose(), this.mapPass && this.mapPass.dispose(); + } + copy(e) { + return this.camera = e.camera.clone(), this.bias = e.bias, this.radius = e.radius, this.mapSize.copy(e.mapSize), this; + } + clone() { + return new this.constructor().copy(this); + } + toJSON() { + const e = {}; + return this.bias !== 0 && (e.bias = this.bias), this.normalBias !== 0 && (e.normalBias = this.normalBias), this.radius !== 1 && (e.radius = this.radius), (this.mapSize.x !== 512 || this.mapSize.y !== 512) && (e.mapSize = this.mapSize.toArray()), e.camera = this.camera.toJSON(!1).object, delete e.camera.matrix, e; + } +} +const Ka = /* @__PURE__ */ new Qe(), pi = /* @__PURE__ */ new P(), Xr = /* @__PURE__ */ new P(); +class tp extends Ho { + constructor() { + super(new Tt(90, 1, 0.5, 500)), this.isPointLightShadow = !0, this._frameExtents = new Ie(4, 2), this._viewportCount = 6, this._viewports = [ + // These viewports map a cube-map onto a 2D texture with the + // following orientation: + // + // xzXZ + // y Y + // + // X - Positive x direction + // x - Negative x direction + // Y - Positive y direction + // y - Negative y direction + // Z - Positive z direction + // z - Negative z direction + // positive X + new $e(2, 1, 1, 1), + // negative X + new $e(0, 1, 1, 1), + // positive Z + new $e(3, 1, 1, 1), + // negative Z + new $e(1, 1, 1, 1), + // positive Y + new $e(3, 0, 1, 1), + // negative Y + new $e(1, 0, 1, 1) + ], this._cubeDirections = [ + new P(1, 0, 0), + new P(-1, 0, 0), + new P(0, 0, 1), + new P(0, 0, -1), + new P(0, 1, 0), + new P(0, -1, 0) + ], this._cubeUps = [ + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 0, 1), + new P(0, 0, -1) + ]; + } + updateMatrices(e, t = 0) { + const n = this.camera, r = this.matrix, s = e.distance || n.far; + s !== n.far && (n.far = s, n.updateProjectionMatrix()), pi.setFromMatrixPosition(e.matrixWorld), n.position.copy(pi), Xr.copy(n.position), Xr.add(this._cubeDirections[t]), n.up.copy(this._cubeUps[t]), n.lookAt(Xr), n.updateMatrixWorld(), r.makeTranslation(-pi.x, -pi.y, -pi.z), Ka.multiplyMatrices(n.projectionMatrix, n.matrixWorldInverse), this._frustum.setFromProjectionMatrix(Ka); + } +} +class Za extends fs { + constructor(e, t, n = 0, r = 2) { + super(e, t), this.isPointLight = !0, this.type = "PointLight", this.distance = n, this.decay = r, this.shadow = new tp(); + } + get power() { + return this.intensity * 4 * Math.PI; + } + set power(e) { + this.intensity = e / (4 * Math.PI); + } + dispose() { + this.shadow.dispose(); + } + copy(e, t) { + return super.copy(e, t), this.distance = e.distance, this.decay = e.decay, this.shadow = e.shadow.clone(), this; + } +} +class np extends Ho { + constructor() { + super(new Uo(-5, 5, 5, -5, 0.5, 500)), this.isDirectionalLightShadow = !0; + } +} +class ip extends fs { + constructor(e, t) { + super(e, t), this.isDirectionalLight = !0, this.type = "DirectionalLight", this.position.copy(dt.DEFAULT_UP), this.updateMatrix(), this.target = new dt(), this.shadow = new np(); + } + dispose() { + this.shadow.dispose(); + } + copy(e) { + return super.copy(e), this.target = e.target.clone(), this.shadow = e.shadow.clone(), this; + } +} +class rp extends fs { + constructor(e, t) { + super(e, t), this.isAmbientLight = !0, this.type = "AmbientLight"; + } +} +class $a { + constructor(e = 1, t = 0, n = 0) { + return this.radius = e, this.phi = t, this.theta = n, this; + } + set(e, t, n) { + return this.radius = e, this.phi = t, this.theta = n, this; + } + copy(e) { + return this.radius = e.radius, this.phi = e.phi, this.theta = e.theta, this; + } + // restrict phi to be between EPS and PI-EPS + makeSafe() { + return this.phi = Math.max(1e-6, Math.min(Math.PI - 1e-6, this.phi)), this; + } + setFromVector3(e) { + return this.setFromCartesianCoords(e.x, e.y, e.z); + } + setFromCartesianCoords(e, t, n) { + return this.radius = Math.sqrt(e * e + t * t + n * n), this.radius === 0 ? (this.theta = 0, this.phi = 0) : (this.theta = Math.atan2(e, n), this.phi = Math.acos(vt(t / this.radius, -1, 1))), this; + } + clone() { + return new this.constructor().copy(this); + } +} +typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register", { detail: { + revision: ss +} })); +typeof window < "u" && (window.__THREE__ ? console.warn("WARNING: Multiple instances of Three.js being imported.") : window.__THREE__ = ss); +const Ja = { type: "change" }, qr = { type: "start" }, Qa = { type: "end" }, ji = new To(), eo = new rn(), sp = Math.cos(70 * ql.DEG2RAD); +class ap extends Rn { + constructor(e, t) { + super(), this.object = e, this.domElement = t, this.domElement.style.touchAction = "none", this.enabled = !0, this.target = new P(), this.cursor = new P(), this.minDistance = 0, this.maxDistance = 1 / 0, this.minZoom = 0, this.maxZoom = 1 / 0, this.minTargetRadius = 0, this.maxTargetRadius = 1 / 0, this.minPolarAngle = 0, this.maxPolarAngle = Math.PI, this.minAzimuthAngle = -1 / 0, this.maxAzimuthAngle = 1 / 0, this.enableDamping = !1, this.dampingFactor = 0.05, this.enableZoom = !0, this.zoomSpeed = 1, this.enableRotate = !0, this.rotateSpeed = 1, this.enablePan = !0, this.panSpeed = 1, this.screenSpacePanning = !0, this.keyPanSpeed = 7, this.zoomToCursor = !1, this.autoRotate = !1, this.autoRotateSpeed = 2, this.keys = { LEFT: "ArrowLeft", UP: "ArrowUp", RIGHT: "ArrowRight", BOTTOM: "ArrowDown" }, this.mouseButtons = { LEFT: Ln.ROTATE, MIDDLE: Ln.DOLLY, RIGHT: Ln.PAN }, this.touches = { ONE: Pn.ROTATE, TWO: Pn.DOLLY_PAN }, this.target0 = this.target.clone(), this.position0 = this.object.position.clone(), this.zoom0 = this.object.zoom, this._domElementKeyEvents = null, this.getPolarAngle = function() { + return a.phi; + }, this.getAzimuthalAngle = function() { + return a.theta; + }, this.getDistance = function() { + return this.object.position.distanceTo(this.target); + }, this.listenToKeyEvents = function(T) { + T.addEventListener("keydown", ye), this._domElementKeyEvents = T; + }, this.stopListenToKeyEvents = function() { + this._domElementKeyEvents.removeEventListener("keydown", ye), this._domElementKeyEvents = null; + }, this.saveState = function() { + n.target0.copy(n.target), n.position0.copy(n.object.position), n.zoom0 = n.object.zoom; + }, this.reset = function() { + n.target.copy(n.target0), n.object.position.copy(n.position0), n.object.zoom = n.zoom0, n.object.updateProjectionMatrix(), n.dispatchEvent(Ja), n.update(), s = r.NONE; + }, this.update = function() { + const T = new P(), ne = new An().setFromUnitVectors(e.up, new P(0, 1, 0)), xe = ne.clone().invert(), fe = new P(), te = new An(), w = new P(), ie = 2 * Math.PI; + return function(Ce = null) { + const Te = n.object.position; + T.copy(Te).sub(n.target), T.applyQuaternion(ne), a.setFromVector3(T), n.autoRotate && s === r.NONE && Z(y(Ce)), n.enableDamping ? (a.theta += l.theta * n.dampingFactor, a.phi += l.phi * n.dampingFactor) : (a.theta += l.theta, a.phi += l.phi); + let ke = n.minAzimuthAngle, We = n.maxAzimuthAngle; + isFinite(ke) && isFinite(We) && (ke < -Math.PI ? ke += ie : ke > Math.PI && (ke -= ie), We < -Math.PI ? We += ie : We > Math.PI && (We -= ie), ke <= We ? a.theta = Math.max(ke, Math.min(We, a.theta)) : a.theta = a.theta > (ke + We) / 2 ? Math.max(ke, a.theta) : Math.min(We, a.theta)), a.phi = Math.max(n.minPolarAngle, Math.min(n.maxPolarAngle, a.phi)), a.makeSafe(), n.enableDamping === !0 ? n.target.addScaledVector(h, n.dampingFactor) : n.target.add(h), n.target.sub(n.cursor), n.target.clampLength(n.minTargetRadius, n.maxTargetRadius), n.target.add(n.cursor), n.zoomToCursor && C || n.object.isOrthographicCamera ? a.radius = q(a.radius) : a.radius = q(a.radius * c), T.setFromSpherical(a), T.applyQuaternion(xe), Te.copy(n.target).add(T), n.object.lookAt(n.target), n.enableDamping === !0 ? (l.theta *= 1 - n.dampingFactor, l.phi *= 1 - n.dampingFactor, h.multiplyScalar(1 - n.dampingFactor)) : (l.set(0, 0, 0), h.set(0, 0, 0)); + let et = !1; + if (n.zoomToCursor && C) { + let nt = null; + if (n.object.isPerspectiveCamera) { + const qe = T.length(); + nt = q(qe * c); + const st = qe - nt; + n.object.position.addScaledVector(R, st), n.object.updateMatrixWorld(); + } else if (n.object.isOrthographicCamera) { + const qe = new P(D.x, D.y, 0); + qe.unproject(n.object), n.object.zoom = Math.max(n.minZoom, Math.min(n.maxZoom, n.object.zoom / c)), n.object.updateProjectionMatrix(), et = !0; + const st = new P(D.x, D.y, 0); + st.unproject(n.object), n.object.position.sub(st).add(qe), n.object.updateMatrixWorld(), nt = T.length(); + } else + console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."), n.zoomToCursor = !1; + nt !== null && (this.screenSpacePanning ? n.target.set(0, 0, -1).transformDirection(n.object.matrix).multiplyScalar(nt).add(n.object.position) : (ji.origin.copy(n.object.position), ji.direction.set(0, 0, -1).transformDirection(n.object.matrix), Math.abs(n.object.up.dot(ji.direction)) < sp ? e.lookAt(n.target) : (eo.setFromNormalAndCoplanarPoint(n.object.up, n.target), ji.intersectPlane(eo, n.target)))); + } else n.object.isOrthographicCamera && (n.object.zoom = Math.max(n.minZoom, Math.min(n.maxZoom, n.object.zoom / c)), n.object.updateProjectionMatrix(), et = !0); + return c = 1, C = !1, et || fe.distanceToSquared(n.object.position) > o || 8 * (1 - te.dot(n.object.quaternion)) > o || w.distanceToSquared(n.target) > 0 ? (n.dispatchEvent(Ja), fe.copy(n.object.position), te.copy(n.object.quaternion), w.copy(n.target), !0) : !1; + }; + }(), this.dispose = function() { + n.domElement.removeEventListener("contextmenu", Ye), n.domElement.removeEventListener("pointerdown", M), n.domElement.removeEventListener("pointercancel", I), n.domElement.removeEventListener("wheel", J), n.domElement.removeEventListener("pointermove", _), n.domElement.removeEventListener("pointerup", I), n._domElementKeyEvents !== null && (n._domElementKeyEvents.removeEventListener("keydown", ye), n._domElementKeyEvents = null); + }; + const n = this, r = { + NONE: -1, + ROTATE: 0, + DOLLY: 1, + PAN: 2, + TOUCH_ROTATE: 3, + TOUCH_PAN: 4, + TOUCH_DOLLY_PAN: 5, + TOUCH_DOLLY_ROTATE: 6 + }; + let s = r.NONE; + const o = 1e-6, a = new $a(), l = new $a(); + let c = 1; + const h = new P(), d = new Ie(), p = new Ie(), m = new Ie(), g = new Ie(), v = new Ie(), f = new Ie(), u = new Ie(), b = new Ie(), S = new Ie(), R = new P(), D = new Ie(); + let C = !1; + const A = [], W = {}; + let x = !1; + function y(T) { + return T !== null ? 2 * Math.PI / 60 * n.autoRotateSpeed * T : 2 * Math.PI / 60 / 60 * n.autoRotateSpeed; + } + function z(T) { + const ne = Math.abs(T * 0.01); + return Math.pow(0.95, n.zoomSpeed * ne); + } + function Z(T) { + l.theta -= T; + } + function re(T) { + l.phi -= T; + } + const L = function() { + const T = new P(); + return function(xe, fe) { + T.setFromMatrixColumn(fe, 0), T.multiplyScalar(-xe), h.add(T); + }; + }(), F = function() { + const T = new P(); + return function(xe, fe) { + n.screenSpacePanning === !0 ? T.setFromMatrixColumn(fe, 1) : (T.setFromMatrixColumn(fe, 0), T.crossVectors(n.object.up, T)), T.multiplyScalar(xe), h.add(T); + }; + }(), V = function() { + const T = new P(); + return function(xe, fe) { + const te = n.domElement; + if (n.object.isPerspectiveCamera) { + const w = n.object.position; + T.copy(w).sub(n.target); + let ie = T.length(); + ie *= Math.tan(n.object.fov / 2 * Math.PI / 180), L(2 * xe * ie / te.clientHeight, n.object.matrix), F(2 * fe * ie / te.clientHeight, n.object.matrix); + } else n.object.isOrthographicCamera ? (L(xe * (n.object.right - n.object.left) / n.object.zoom / te.clientWidth, n.object.matrix), F(fe * (n.object.top - n.object.bottom) / n.object.zoom / te.clientHeight, n.object.matrix)) : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."), n.enablePan = !1); + }; + }(); + function Y(T) { + n.object.isPerspectiveCamera || n.object.isOrthographicCamera ? c /= T : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."), n.enableZoom = !1); + } + function X(T) { + n.object.isPerspectiveCamera || n.object.isOrthographicCamera ? c *= T : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."), n.enableZoom = !1); + } + function k(T, ne) { + if (!n.zoomToCursor) + return; + C = !0; + const xe = n.domElement.getBoundingClientRect(), fe = T - xe.left, te = ne - xe.top, w = xe.width, ie = xe.height; + D.x = fe / w * 2 - 1, D.y = -(te / ie) * 2 + 1, R.set(D.x, D.y, 1).unproject(n.object).sub(n.object.position).normalize(); + } + function q(T) { + return Math.max(n.minDistance, Math.min(n.maxDistance, T)); + } + function Q(T) { + d.set(T.clientX, T.clientY); + } + function ce(T) { + k(T.clientX, T.clientX), u.set(T.clientX, T.clientY); + } + function H(T) { + g.set(T.clientX, T.clientY); + } + function j(T) { + p.set(T.clientX, T.clientY), m.subVectors(p, d).multiplyScalar(n.rotateSpeed); + const ne = n.domElement; + Z(2 * Math.PI * m.x / ne.clientHeight), re(2 * Math.PI * m.y / ne.clientHeight), d.copy(p), n.update(); + } + function oe(T) { + b.set(T.clientX, T.clientY), S.subVectors(b, u), S.y > 0 ? Y(z(S.y)) : S.y < 0 && X(z(S.y)), u.copy(b), n.update(); + } + function ve(T) { + v.set(T.clientX, T.clientY), f.subVectors(v, g).multiplyScalar(n.panSpeed), V(f.x, f.y), g.copy(v), n.update(); + } + function _e(T) { + k(T.clientX, T.clientY), T.deltaY < 0 ? X(z(T.deltaY)) : T.deltaY > 0 && Y(z(T.deltaY)), n.update(); + } + function we(T) { + let ne = !1; + switch (T.code) { + case n.keys.UP: + T.ctrlKey || T.metaKey || T.shiftKey ? re(2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(0, n.keyPanSpeed), ne = !0; + break; + case n.keys.BOTTOM: + T.ctrlKey || T.metaKey || T.shiftKey ? re(-2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(0, -n.keyPanSpeed), ne = !0; + break; + case n.keys.LEFT: + T.ctrlKey || T.metaKey || T.shiftKey ? Z(2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(n.keyPanSpeed, 0), ne = !0; + break; + case n.keys.RIGHT: + T.ctrlKey || T.metaKey || T.shiftKey ? Z(-2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(-n.keyPanSpeed, 0), ne = !0; + break; + } + ne && (T.preventDefault(), n.update()); + } + function Ae(T) { + if (A.length === 1) + d.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + d.set(xe, fe); + } + } + function ge(T) { + if (A.length === 1) + g.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + g.set(xe, fe); + } + } + function Pe(T) { + const ne = ue(T), xe = T.pageX - ne.x, fe = T.pageY - ne.y, te = Math.sqrt(xe * xe + fe * fe); + u.set(0, te); + } + function N(T) { + n.enableZoom && Pe(T), n.enablePan && ge(T); + } + function rt(T) { + n.enableZoom && Pe(T), n.enableRotate && Ae(T); + } + function Me(T) { + if (A.length == 1) + p.set(T.pageX, T.pageY); + else { + const xe = ue(T), fe = 0.5 * (T.pageX + xe.x), te = 0.5 * (T.pageY + xe.y); + p.set(fe, te); + } + m.subVectors(p, d).multiplyScalar(n.rotateSpeed); + const ne = n.domElement; + Z(2 * Math.PI * m.x / ne.clientHeight), re(2 * Math.PI * m.y / ne.clientHeight), d.copy(p); + } + function Re(T) { + if (A.length === 1) + v.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + v.set(xe, fe); + } + f.subVectors(v, g).multiplyScalar(n.panSpeed), V(f.x, f.y), g.copy(v); + } + function pe(T) { + const ne = ue(T), xe = T.pageX - ne.x, fe = T.pageY - ne.y, te = Math.sqrt(xe * xe + fe * fe); + b.set(0, te), S.set(0, Math.pow(b.y / u.y, n.zoomSpeed)), Y(S.y), u.copy(b); + const w = (T.pageX + ne.x) * 0.5, ie = (T.pageY + ne.y) * 0.5; + k(w, ie); + } + function je(T) { + n.enableZoom && pe(T), n.enablePan && Re(T); + } + function be(T) { + n.enableZoom && pe(T), n.enableRotate && Me(T); + } + function M(T) { + n.enabled !== !1 && (A.length === 0 && (n.domElement.setPointerCapture(T.pointerId), n.domElement.addEventListener("pointermove", _), n.domElement.addEventListener("pointerup", I)), ze(T), T.pointerType === "touch" ? Fe(T) : $(T)); + } + function _(T) { + n.enabled !== !1 && (T.pointerType === "touch" ? ee(T) : K(T)); + } + function I(T) { + De(T), A.length === 0 && (n.domElement.releasePointerCapture(T.pointerId), n.domElement.removeEventListener("pointermove", _), n.domElement.removeEventListener("pointerup", I)), n.dispatchEvent(Qa), s = r.NONE; + } + function $(T) { + let ne; + switch (T.button) { + case 0: + ne = n.mouseButtons.LEFT; + break; + case 1: + ne = n.mouseButtons.MIDDLE; + break; + case 2: + ne = n.mouseButtons.RIGHT; + break; + default: + ne = -1; + } + switch (ne) { + case Ln.DOLLY: + if (n.enableZoom === !1) return; + ce(T), s = r.DOLLY; + break; + case Ln.ROTATE: + if (T.ctrlKey || T.metaKey || T.shiftKey) { + if (n.enablePan === !1) return; + H(T), s = r.PAN; + } else { + if (n.enableRotate === !1) return; + Q(T), s = r.ROTATE; + } + break; + case Ln.PAN: + if (T.ctrlKey || T.metaKey || T.shiftKey) { + if (n.enableRotate === !1) return; + Q(T), s = r.ROTATE; + } else { + if (n.enablePan === !1) return; + H(T), s = r.PAN; + } + break; + default: + s = r.NONE; + } + s !== r.NONE && n.dispatchEvent(qr); + } + function K(T) { + switch (s) { + case r.ROTATE: + if (n.enableRotate === !1) return; + j(T); + break; + case r.DOLLY: + if (n.enableZoom === !1) return; + oe(T); + break; + case r.PAN: + if (n.enablePan === !1) return; + ve(T); + break; + } + } + function J(T) { + n.enabled === !1 || n.enableZoom === !1 || s !== r.NONE || (T.preventDefault(), n.dispatchEvent(qr), _e(me(T)), n.dispatchEvent(Qa)); + } + function me(T) { + const ne = T.deltaMode, xe = { + clientX: T.clientX, + clientY: T.clientY, + deltaY: T.deltaY + }; + switch (ne) { + case 1: + xe.deltaY *= 16; + break; + case 2: + xe.deltaY *= 100; + break; + } + return T.ctrlKey && !x && (xe.deltaY *= 10), xe; + } + function ae(T) { + T.key === "Control" && (x = !0, document.addEventListener("keyup", he, { passive: !0, capture: !0 })); + } + function he(T) { + T.key === "Control" && (x = !1, document.removeEventListener("keyup", he, { passive: !0, capture: !0 })); + } + function ye(T) { + n.enabled === !1 || n.enablePan === !1 || we(T); + } + function Fe(T) { + switch (Ee(T), A.length) { + case 1: + switch (n.touches.ONE) { + case Pn.ROTATE: + if (n.enableRotate === !1) return; + Ae(T), s = r.TOUCH_ROTATE; + break; + case Pn.PAN: + if (n.enablePan === !1) return; + ge(T), s = r.TOUCH_PAN; + break; + default: + s = r.NONE; + } + break; + case 2: + switch (n.touches.TWO) { + case Pn.DOLLY_PAN: + if (n.enableZoom === !1 && n.enablePan === !1) return; + N(T), s = r.TOUCH_DOLLY_PAN; + break; + case Pn.DOLLY_ROTATE: + if (n.enableZoom === !1 && n.enableRotate === !1) return; + rt(T), s = r.TOUCH_DOLLY_ROTATE; + break; + default: + s = r.NONE; + } + break; + default: + s = r.NONE; + } + s !== r.NONE && n.dispatchEvent(qr); + } + function ee(T) { + switch (Ee(T), s) { + case r.TOUCH_ROTATE: + if (n.enableRotate === !1) return; + Me(T), n.update(); + break; + case r.TOUCH_PAN: + if (n.enablePan === !1) return; + Re(T), n.update(); + break; + case r.TOUCH_DOLLY_PAN: + if (n.enableZoom === !1 && n.enablePan === !1) return; + je(T), n.update(); + break; + case r.TOUCH_DOLLY_ROTATE: + if (n.enableZoom === !1 && n.enableRotate === !1) return; + be(T), n.update(); + break; + default: + s = r.NONE; + } + } + function Ye(T) { + n.enabled !== !1 && T.preventDefault(); + } + function ze(T) { + A.push(T.pointerId); + } + function De(T) { + delete W[T.pointerId]; + for (let ne = 0; ne < A.length; ne++) + if (A[ne] == T.pointerId) { + A.splice(ne, 1); + return; + } + } + function Ee(T) { + let ne = W[T.pointerId]; + ne === void 0 && (ne = new Ie(), W[T.pointerId] = ne), ne.set(T.pageX, T.pageY); + } + function ue(T) { + const ne = T.pointerId === A[0] ? A[1] : A[0]; + return W[ne]; + } + n.domElement.addEventListener("contextmenu", Ye), n.domElement.addEventListener("pointerdown", M), n.domElement.addEventListener("pointercancel", I), n.domElement.addEventListener("wheel", J, { passive: !1 }), document.addEventListener("keydown", ae, { passive: !0, capture: !0 }), this.update(); + } +} +const op = "_wrapper_1xs2z_1", lp = "_canvasShell_1xs2z_28", cp = "_canvas_1xs2z_28", up = "_viewportLabels_1xs2z_48", hp = "_splitLabel_1xs2z_61", dp = "_controlOverlay_1xs2z_73", fp = "_resolutionCard_1xs2z_83", pp = "_resolutionControl_1xs2z_97", mp = "_slider_1xs2z_105", _p = "_sliderValue_1xs2z_111", Ut = { + wrapper: op, + canvasShell: lp, + canvas: cp, + viewportLabels: up, + splitLabel: hp, + controlOverlay: dp, + resolutionCard: fp, + resolutionControl: pp, + slider: mp, + sliderValue: _p +}, gp = 24, to = new P(20, 20, 20), no = new P(0, 0, 0), vp = 5e3, Yr = "#f2f0ea", xp = (i, e, t) => Math.min(t, Math.max(e, i)), jr = (i, e, t, n, r = 1) => { + if (typeof i != "number" || Number.isNaN(i)) return e; + const s = Math.round(i / r) * r; + return xp(s, t, n); +}; +function io(i) { + const e = new rp(16777215, 0.65); + i.add(e); + const t = new ip(16777215, 1.1); + t.position.set(20, 50, 20), t.castShadow = !0, t.shadow.mapSize.width = 2048, t.shadow.mapSize.height = 2048, i.add(t); + const n = new Za(3900150, 1.1, 50); + n.position.set(-10, 10, -10), i.add(n); + const r = new Za(16743001, 0.9, 50); + r.position.set(10, -10, 10), i.add(r); +} +function Mp(i) { + if (Array.isArray(i)) { + i.forEach((e) => e.dispose()); + return; + } + i.dispose(); +} +function ro(i) { + i.traverse((e) => { + const t = e; + t.geometry && t.geometry.dispose(), t.material && Mp(t.material); + }); +} +function yp({ + config: i, + onComplete: e, + onProgress: t, + theme: n, + className: r +}) { + const s = i.params ?? {}, o = jr(s.gridSize, 24, 12, 80, 1), a = jr(s.majorRadius, 8, 4, 10, 0.5), l = jr(s.minorRadius, 3, 1, 5, 0.25), [c, h] = Ms(o), [d, p] = Ms({ + layout: "landscape", + width: 0, + height: 0 + }), m = dr(null), g = dr(null), v = dr(!1); + ai(() => { + const R = m.current; + if (!R) return; + const D = () => { + const A = R.clientWidth, W = R.clientHeight; + if (!A || !W) return; + const x = A >= W ? "landscape" : "portrait"; + let y = A, z = W; + x === "landscape" ? (z = Math.min(W, A * (9 / 16)), y = z * (16 / 9)) : (y = Math.min(A, W / 2), z = y * 2), p({ + layout: x, + width: y, + height: z + }); + }, C = new ResizeObserver(D); + return C.observe(R), D(), () => { + C.disconnect(); + }; + }, []), ai(() => { + h(o), v.current = !1; + }, [i.id, o, a, l]); + const f = fr( + () => Math.max(gp, (a + l + 1.5) * 2), + [a, l] + ), u = fr(() => f / c, [f, c]); + ai(() => { + t == null || t(c === o ? 0 : 100); + }, [o, t, c]), ai(() => { + c === o || v.current || (v.current = !0, e({ + success: !0, + score: 100, + data: { + configId: i.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + params: { + gridSize: c, + majorRadius: a, + minorRadius: l + } + } + })); + }, [i.id, o, a, l, e, c]), ai(() => { + const R = g.current; + if (!R) return; + const D = new Ha(), C = new Ha(), A = new Xe(Yr); + D.background = A, D.fog = new ir(Yr, 0.02), C.background = A, C.fog = new ir(Yr, 0.02), io(D), io(C); + const W = new Tt(45, 1, 0.1, 1e3); + W.position.copy(to); + const x = new Go({ antialias: !0, alpha: !0 }); + x.shadowMap.enabled = !0, x.shadowMap.type = ao, x.setPixelRatio(Math.min(window.devicePixelRatio, 2)), x.setScissorTest(!0), R.appendChild(x.domElement); + const y = new ap(W, x.domElement); + y.enableDamping = !0, y.dampingFactor = 0.05, y.minDistance = 5, y.maxDistance = 100, y.target.copy(no); + const z = new ds(a, l, 64, 128), Z = new qa({ + color: 3900150, + roughness: 0.22, + metalness: 0.1 + }), re = new Ot(z, Z); + re.castShadow = !0, re.receiveShadow = !0, re.rotation.x = -Math.PI / 2, D.add(re); + const L = u * 0.12, F = Math.max(u - L, u * 0.2), V = new ii(F, F, F), Y = new qa({ + color: 3900150, + roughness: 0.22, + metalness: 0.1 + }), X = new ls({ + color: 0, + transparent: !0, + opacity: 0.08, + wireframe: !0 + }), k = Math.pow(c, 3), q = new Xa(V, Y, k), Q = new Xa(V, X, k), ce = (c - 1) * u / 2, H = new dt(); + q.castShadow = !0, q.receiveShadow = !0, C.add(q), C.add(Q); + let j = 0, oe = 0; + for (let be = 0; be < c; be += 1) + for (let M = 0; M < c; M += 1) + for (let _ = 0; _ < c; _ += 1) { + const I = be * u - ce, $ = M * u - ce, K = _ * u - ce, J = Math.sqrt(I * I + K * K) - a, ae = J * J + $ * $ < l * l; + if (H.position.set(I, $, K), H.updateMatrix(), ae) { + q.setMatrixAt(j, H.matrix); + const he = new Xe(), ye = 0.52 + $ / Math.max(c, 1) * 0.18; + he.setHSL(ye, 0.78, 0.52), q.setColorAt(j, he), j += 1; + continue; + } + Q.setMatrixAt(oe, H.matrix), oe += 1; + } + q.count = j, Q.count = oe, q.instanceMatrix.needsUpdate = !0, Q.instanceMatrix.needsUpdate = !0, q.instanceColor && (q.instanceColor.needsUpdate = !0); + const ve = to.clone(), _e = no.clone(); + let we = !1, Ae = null, ge = 0, Pe = 0; + const N = () => { + ge = R.clientWidth, Pe = R.clientHeight, !(!ge || !Pe) && (W.aspect = 1, W.updateProjectionMatrix(), x.setSize(ge, Pe, !1)); + }, rt = new ResizeObserver(N); + rt.observe(R), N(); + const Me = () => { + we = !1, Ae !== null && (window.clearTimeout(Ae), Ae = null); + }, Re = () => { + Ae = window.setTimeout(() => { + we = !0; + }, vp); + }; + y.addEventListener("start", Me), y.addEventListener("end", Re); + let pe = 0; + const je = () => { + if (pe = window.requestAnimationFrame(je), we && (W.position.lerp(ve, 0.05), y.target.lerp(_e, 0.05), W.position.distanceTo(ve) < 0.1 && y.target.distanceTo(_e) < 0.1 && (we = !1)), re.rotation.z += 2e-3, q.rotation.y += 2e-3, Q.rotation.y += 2e-3, Q.visible = !1, y.update(), !ge || !Pe) return; + const be = ge >= Pe, M = be ? Math.min(ge / 2, Pe) : Math.min(ge, Pe / 2), _ = be ? (ge - M * 2) / 2 : (ge - M) / 2, I = be ? (Pe - M) / 2 : (Pe - M * 2) / 2, $ = _, K = be ? I : I + M, J = be ? _ + M : _, me = I; + x.setScissor($, K, M, M), x.setViewport($, K, M, M), x.render(D, W), x.setScissor(J, me, M, M), x.setViewport(J, me, M, M), x.render(C, W); + }; + return je(), () => { + window.cancelAnimationFrame(pe), Ae !== null && window.clearTimeout(Ae), rt.disconnect(), y.removeEventListener("start", Me), y.removeEventListener("end", Re), y.dispose(), x.dispose(), ro(D), ro(C), R.removeChild(x.domElement); + }; + }, [a, l, c, u]); + const b = fr( + () => ({ + "--gc-primary": (n == null ? void 0 : n.primary) ?? "var(--color-primary, #45c4b0)", + "--gc-accent": (n == null ? void 0 : n.accent) ?? "var(--color-accent, #ff7a59)", + "--gc-bg": (n == null ? void 0 : n.bg) ?? "var(--color-bg, #0d1117)", + "--gc-bg-secondary": (n == null ? void 0 : n.bgSecondary) ?? "var(--color-bg-secondary, #182237)", + "--gc-text": (n == null ? void 0 : n.text) ?? "var(--color-text, #f1f4ef)", + "--gc-text-muted": (n == null ? void 0 : n.textMuted) ?? "var(--color-text-muted, #b6c0d4)", + "--gc-border": (n == null ? void 0 : n.border) ?? "var(--color-border, #34516f)" + }), + [n] + ), S = (R) => { + h(Number(R.target.value)); + }; + return /* @__PURE__ */ pn("div", { className: [Ut.wrapper, r].filter(Boolean).join(" "), style: b, ref: m, children: /* @__PURE__ */ yi( + "div", + { + className: Ut.canvasShell, + "data-layout": d.layout, + style: { + width: d.width ? `${d.width}px` : void 0, + height: d.height ? `${d.height}px` : void 0 + }, + children: [ + /* @__PURE__ */ pn("div", { className: Ut.canvas, ref: g }), + /* @__PURE__ */ yi("div", { className: Ut.viewportLabels, "data-layout": d.layout, children: [ + /* @__PURE__ */ pn("div", { className: Ut.splitLabel, children: "Continuous" }), + /* @__PURE__ */ pn("div", { className: Ut.splitLabel, children: "Discrete" }) + ] }), + /* @__PURE__ */ pn("div", { className: Ut.controlOverlay, children: /* @__PURE__ */ pn("label", { className: Ut.resolutionCard, children: /* @__PURE__ */ yi("span", { className: Ut.resolutionControl, children: [ + /* @__PURE__ */ pn( + "input", + { + className: Ut.slider, + type: "range", + min: "12", + max: "80", + step: "1", + value: c, + onChange: S + } + ), + /* @__PURE__ */ yi("span", { className: Ut.sliderValue, children: [ + u.toFixed(2), + "u" + ] }) + ] }) }) }) + ] + } + ) }); +} +const Tp = { + name: "voxel_universe", + displayName: "Voxel Universe", + version: "1.0.0", + paramSchema: { + gridSize: { + type: "range", + label: "Voxel Resolution", + description: "How many voxels are used per axis. Higher values make each voxel smaller.", + default: 24, + min: 12, + max: 80, + step: 1 + }, + majorRadius: { + type: "range", + label: "Major Radius", + description: "Overall radius of the torus shape.", + default: 8, + min: 4, + max: 10, + step: 0.5 + }, + minorRadius: { + type: "range", + label: "Minor Radius", + description: "Thickness of the torus ring.", + default: 3, + min: 1, + max: 5, + step: 0.25 + } + }, + defaultParams: { + gridSize: 24, + majorRadius: 8, + minorRadius: 3 + } +}; +export { + yp as default, + Tp as metadata +}; +//# sourceMappingURL=voxel_universe.js.map diff --git a/dist/vendor/glitch/glitch_voxel_universe/voxel_universe.js.map b/dist/vendor/glitch/glitch_voxel_universe/voxel_universe.js.map new file mode 100644 index 0000000..ad72beb --- /dev/null +++ b/dist/vendor/glitch/glitch_voxel_universe/voxel_universe.js.map @@ -0,0 +1 @@ +{"version":3,"file":"voxel_universe.js","sources":["../node_modules/three/build/three.module.js","../node_modules/three/examples/jsm/controls/OrbitControls.js","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["/**\n * @license\n * Copyright 2010-2023 Three.js Authors\n * SPDX-License-Identifier: MIT\n */\nconst REVISION = '160';\n\nconst MOUSE = { LEFT: 0, MIDDLE: 1, RIGHT: 2, ROTATE: 0, DOLLY: 1, PAN: 2 };\nconst TOUCH = { ROTATE: 0, PAN: 1, DOLLY_PAN: 2, DOLLY_ROTATE: 3 };\nconst CullFaceNone = 0;\nconst CullFaceBack = 1;\nconst CullFaceFront = 2;\nconst CullFaceFrontBack = 3;\nconst BasicShadowMap = 0;\nconst PCFShadowMap = 1;\nconst PCFSoftShadowMap = 2;\nconst VSMShadowMap = 3;\nconst FrontSide = 0;\nconst BackSide = 1;\nconst DoubleSide = 2;\nconst TwoPassDoubleSide = 2; // r149\nconst NoBlending = 0;\nconst NormalBlending = 1;\nconst AdditiveBlending = 2;\nconst SubtractiveBlending = 3;\nconst MultiplyBlending = 4;\nconst CustomBlending = 5;\nconst AddEquation = 100;\nconst SubtractEquation = 101;\nconst ReverseSubtractEquation = 102;\nconst MinEquation = 103;\nconst MaxEquation = 104;\nconst ZeroFactor = 200;\nconst OneFactor = 201;\nconst SrcColorFactor = 202;\nconst OneMinusSrcColorFactor = 203;\nconst SrcAlphaFactor = 204;\nconst OneMinusSrcAlphaFactor = 205;\nconst DstAlphaFactor = 206;\nconst OneMinusDstAlphaFactor = 207;\nconst DstColorFactor = 208;\nconst OneMinusDstColorFactor = 209;\nconst SrcAlphaSaturateFactor = 210;\nconst ConstantColorFactor = 211;\nconst OneMinusConstantColorFactor = 212;\nconst ConstantAlphaFactor = 213;\nconst OneMinusConstantAlphaFactor = 214;\nconst NeverDepth = 0;\nconst AlwaysDepth = 1;\nconst LessDepth = 2;\nconst LessEqualDepth = 3;\nconst EqualDepth = 4;\nconst GreaterEqualDepth = 5;\nconst GreaterDepth = 6;\nconst NotEqualDepth = 7;\nconst MultiplyOperation = 0;\nconst MixOperation = 1;\nconst AddOperation = 2;\nconst NoToneMapping = 0;\nconst LinearToneMapping = 1;\nconst ReinhardToneMapping = 2;\nconst CineonToneMapping = 3;\nconst ACESFilmicToneMapping = 4;\nconst CustomToneMapping = 5;\nconst AgXToneMapping = 6;\nconst AttachedBindMode = 'attached';\nconst DetachedBindMode = 'detached';\n\nconst UVMapping = 300;\nconst CubeReflectionMapping = 301;\nconst CubeRefractionMapping = 302;\nconst EquirectangularReflectionMapping = 303;\nconst EquirectangularRefractionMapping = 304;\nconst CubeUVReflectionMapping = 306;\nconst RepeatWrapping = 1000;\nconst ClampToEdgeWrapping = 1001;\nconst MirroredRepeatWrapping = 1002;\nconst NearestFilter = 1003;\nconst NearestMipmapNearestFilter = 1004;\nconst NearestMipMapNearestFilter = 1004;\nconst NearestMipmapLinearFilter = 1005;\nconst NearestMipMapLinearFilter = 1005;\nconst LinearFilter = 1006;\nconst LinearMipmapNearestFilter = 1007;\nconst LinearMipMapNearestFilter = 1007;\nconst LinearMipmapLinearFilter = 1008;\nconst LinearMipMapLinearFilter = 1008;\nconst UnsignedByteType = 1009;\nconst ByteType = 1010;\nconst ShortType = 1011;\nconst UnsignedShortType = 1012;\nconst IntType = 1013;\nconst UnsignedIntType = 1014;\nconst FloatType = 1015;\nconst HalfFloatType = 1016;\nconst UnsignedShort4444Type = 1017;\nconst UnsignedShort5551Type = 1018;\nconst UnsignedInt248Type = 1020;\nconst AlphaFormat = 1021;\nconst RGBAFormat = 1023;\nconst LuminanceFormat = 1024;\nconst LuminanceAlphaFormat = 1025;\nconst DepthFormat = 1026;\nconst DepthStencilFormat = 1027;\nconst RedFormat = 1028;\nconst RedIntegerFormat = 1029;\nconst RGFormat = 1030;\nconst RGIntegerFormat = 1031;\nconst RGBAIntegerFormat = 1033;\n\nconst RGB_S3TC_DXT1_Format = 33776;\nconst RGBA_S3TC_DXT1_Format = 33777;\nconst RGBA_S3TC_DXT3_Format = 33778;\nconst RGBA_S3TC_DXT5_Format = 33779;\nconst RGB_PVRTC_4BPPV1_Format = 35840;\nconst RGB_PVRTC_2BPPV1_Format = 35841;\nconst RGBA_PVRTC_4BPPV1_Format = 35842;\nconst RGBA_PVRTC_2BPPV1_Format = 35843;\nconst RGB_ETC1_Format = 36196;\nconst RGB_ETC2_Format = 37492;\nconst RGBA_ETC2_EAC_Format = 37496;\nconst RGBA_ASTC_4x4_Format = 37808;\nconst RGBA_ASTC_5x4_Format = 37809;\nconst RGBA_ASTC_5x5_Format = 37810;\nconst RGBA_ASTC_6x5_Format = 37811;\nconst RGBA_ASTC_6x6_Format = 37812;\nconst RGBA_ASTC_8x5_Format = 37813;\nconst RGBA_ASTC_8x6_Format = 37814;\nconst RGBA_ASTC_8x8_Format = 37815;\nconst RGBA_ASTC_10x5_Format = 37816;\nconst RGBA_ASTC_10x6_Format = 37817;\nconst RGBA_ASTC_10x8_Format = 37818;\nconst RGBA_ASTC_10x10_Format = 37819;\nconst RGBA_ASTC_12x10_Format = 37820;\nconst RGBA_ASTC_12x12_Format = 37821;\nconst RGBA_BPTC_Format = 36492;\nconst RGB_BPTC_SIGNED_Format = 36494;\nconst RGB_BPTC_UNSIGNED_Format = 36495;\nconst RED_RGTC1_Format = 36283;\nconst SIGNED_RED_RGTC1_Format = 36284;\nconst RED_GREEN_RGTC2_Format = 36285;\nconst SIGNED_RED_GREEN_RGTC2_Format = 36286;\nconst LoopOnce = 2200;\nconst LoopRepeat = 2201;\nconst LoopPingPong = 2202;\nconst InterpolateDiscrete = 2300;\nconst InterpolateLinear = 2301;\nconst InterpolateSmooth = 2302;\nconst ZeroCurvatureEnding = 2400;\nconst ZeroSlopeEnding = 2401;\nconst WrapAroundEnding = 2402;\nconst NormalAnimationBlendMode = 2500;\nconst AdditiveAnimationBlendMode = 2501;\nconst TrianglesDrawMode = 0;\nconst TriangleStripDrawMode = 1;\nconst TriangleFanDrawMode = 2;\n/** @deprecated Use LinearSRGBColorSpace or NoColorSpace in three.js r152+. */\nconst LinearEncoding = 3000;\n/** @deprecated Use SRGBColorSpace in three.js r152+. */\nconst sRGBEncoding = 3001;\nconst BasicDepthPacking = 3200;\nconst RGBADepthPacking = 3201;\nconst TangentSpaceNormalMap = 0;\nconst ObjectSpaceNormalMap = 1;\n\n// Color space string identifiers, matching CSS Color Module Level 4 and WebGPU names where available.\nconst NoColorSpace = '';\nconst SRGBColorSpace = 'srgb';\nconst LinearSRGBColorSpace = 'srgb-linear';\nconst DisplayP3ColorSpace = 'display-p3';\nconst LinearDisplayP3ColorSpace = 'display-p3-linear';\n\nconst LinearTransfer = 'linear';\nconst SRGBTransfer = 'srgb';\n\nconst Rec709Primaries = 'rec709';\nconst P3Primaries = 'p3';\n\nconst ZeroStencilOp = 0;\nconst KeepStencilOp = 7680;\nconst ReplaceStencilOp = 7681;\nconst IncrementStencilOp = 7682;\nconst DecrementStencilOp = 7683;\nconst IncrementWrapStencilOp = 34055;\nconst DecrementWrapStencilOp = 34056;\nconst InvertStencilOp = 5386;\n\nconst NeverStencilFunc = 512;\nconst LessStencilFunc = 513;\nconst EqualStencilFunc = 514;\nconst LessEqualStencilFunc = 515;\nconst GreaterStencilFunc = 516;\nconst NotEqualStencilFunc = 517;\nconst GreaterEqualStencilFunc = 518;\nconst AlwaysStencilFunc = 519;\n\nconst NeverCompare = 512;\nconst LessCompare = 513;\nconst EqualCompare = 514;\nconst LessEqualCompare = 515;\nconst GreaterCompare = 516;\nconst NotEqualCompare = 517;\nconst GreaterEqualCompare = 518;\nconst AlwaysCompare = 519;\n\nconst StaticDrawUsage = 35044;\nconst DynamicDrawUsage = 35048;\nconst StreamDrawUsage = 35040;\nconst StaticReadUsage = 35045;\nconst DynamicReadUsage = 35049;\nconst StreamReadUsage = 35041;\nconst StaticCopyUsage = 35046;\nconst DynamicCopyUsage = 35050;\nconst StreamCopyUsage = 35042;\n\nconst GLSL1 = '100';\nconst GLSL3 = '300 es';\n\nconst _SRGBAFormat = 1035; // fallback for WebGL 1\n\nconst WebGLCoordinateSystem = 2000;\nconst WebGPUCoordinateSystem = 2001;\n\n/**\n * https://github.com/mrdoob/eventdispatcher.js/\n */\n\nclass EventDispatcher {\n\n\taddEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) this._listeners = {};\n\n\t\tconst listeners = this._listeners;\n\n\t\tif ( listeners[ type ] === undefined ) {\n\n\t\t\tlisteners[ type ] = [];\n\n\t\t}\n\n\t\tif ( listeners[ type ].indexOf( listener ) === - 1 ) {\n\n\t\t\tlisteners[ type ].push( listener );\n\n\t\t}\n\n\t}\n\n\thasEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) return false;\n\n\t\tconst listeners = this._listeners;\n\n\t\treturn listeners[ type ] !== undefined && listeners[ type ].indexOf( listener ) !== - 1;\n\n\t}\n\n\tremoveEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) return;\n\n\t\tconst listeners = this._listeners;\n\t\tconst listenerArray = listeners[ type ];\n\n\t\tif ( listenerArray !== undefined ) {\n\n\t\t\tconst index = listenerArray.indexOf( listener );\n\n\t\t\tif ( index !== - 1 ) {\n\n\t\t\t\tlistenerArray.splice( index, 1 );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tdispatchEvent( event ) {\n\n\t\tif ( this._listeners === undefined ) return;\n\n\t\tconst listeners = this._listeners;\n\t\tconst listenerArray = listeners[ event.type ];\n\n\t\tif ( listenerArray !== undefined ) {\n\n\t\t\tevent.target = this;\n\n\t\t\t// Make a copy, in case listeners are removed while iterating.\n\t\t\tconst array = listenerArray.slice( 0 );\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tarray[ i ].call( this, event );\n\n\t\t\t}\n\n\t\t\tevent.target = null;\n\n\t\t}\n\n\t}\n\n}\n\nconst _lut = [ '00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '0a', '0b', '0c', '0d', '0e', '0f', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '1a', '1b', '1c', '1d', '1e', '1f', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '2a', '2b', '2c', '2d', '2e', '2f', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '3a', '3b', '3c', '3d', '3e', '3f', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '4a', '4b', '4c', '4d', '4e', '4f', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '5a', '5b', '5c', '5d', '5e', '5f', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '6a', '6b', '6c', '6d', '6e', '6f', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '7a', '7b', '7c', '7d', '7e', '7f', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '8a', '8b', '8c', '8d', '8e', '8f', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '9a', '9b', '9c', '9d', '9e', '9f', 'a0', 'a1', 'a2', 'a3', 'a4', 'a5', 'a6', 'a7', 'a8', 'a9', 'aa', 'ab', 'ac', 'ad', 'ae', 'af', 'b0', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'b7', 'b8', 'b9', 'ba', 'bb', 'bc', 'bd', 'be', 'bf', 'c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9', 'ca', 'cb', 'cc', 'cd', 'ce', 'cf', 'd0', 'd1', 'd2', 'd3', 'd4', 'd5', 'd6', 'd7', 'd8', 'd9', 'da', 'db', 'dc', 'dd', 'de', 'df', 'e0', 'e1', 'e2', 'e3', 'e4', 'e5', 'e6', 'e7', 'e8', 'e9', 'ea', 'eb', 'ec', 'ed', 'ee', 'ef', 'f0', 'f1', 'f2', 'f3', 'f4', 'f5', 'f6', 'f7', 'f8', 'f9', 'fa', 'fb', 'fc', 'fd', 'fe', 'ff' ];\n\nlet _seed = 1234567;\n\n\nconst DEG2RAD = Math.PI / 180;\nconst RAD2DEG = 180 / Math.PI;\n\n// http://stackoverflow.com/questions/105034/how-to-create-a-guid-uuid-in-javascript/21963136#21963136\nfunction generateUUID() {\n\n\tconst d0 = Math.random() * 0xffffffff | 0;\n\tconst d1 = Math.random() * 0xffffffff | 0;\n\tconst d2 = Math.random() * 0xffffffff | 0;\n\tconst d3 = Math.random() * 0xffffffff | 0;\n\tconst uuid = _lut[ d0 & 0xff ] + _lut[ d0 >> 8 & 0xff ] + _lut[ d0 >> 16 & 0xff ] + _lut[ d0 >> 24 & 0xff ] + '-' +\n\t\t\t_lut[ d1 & 0xff ] + _lut[ d1 >> 8 & 0xff ] + '-' + _lut[ d1 >> 16 & 0x0f | 0x40 ] + _lut[ d1 >> 24 & 0xff ] + '-' +\n\t\t\t_lut[ d2 & 0x3f | 0x80 ] + _lut[ d2 >> 8 & 0xff ] + '-' + _lut[ d2 >> 16 & 0xff ] + _lut[ d2 >> 24 & 0xff ] +\n\t\t\t_lut[ d3 & 0xff ] + _lut[ d3 >> 8 & 0xff ] + _lut[ d3 >> 16 & 0xff ] + _lut[ d3 >> 24 & 0xff ];\n\n\t// .toLowerCase() here flattens concatenated strings to save heap memory space.\n\treturn uuid.toLowerCase();\n\n}\n\nfunction clamp( value, min, max ) {\n\n\treturn Math.max( min, Math.min( max, value ) );\n\n}\n\n// compute euclidean modulo of m % n\n// https://en.wikipedia.org/wiki/Modulo_operation\nfunction euclideanModulo( n, m ) {\n\n\treturn ( ( n % m ) + m ) % m;\n\n}\n\n// Linear mapping from range to range \nfunction mapLinear( x, a1, a2, b1, b2 ) {\n\n\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\n\n}\n\n// https://www.gamedev.net/tutorials/programming/general-and-gameplay-programming/inverse-lerp-a-super-useful-yet-often-overlooked-function-r5230/\nfunction inverseLerp( x, y, value ) {\n\n\tif ( x !== y ) {\n\n\t\treturn ( value - x ) / ( y - x );\n\n\t} else {\n\n\t\treturn 0;\n\n\t}\n\n}\n\n// https://en.wikipedia.org/wiki/Linear_interpolation\nfunction lerp( x, y, t ) {\n\n\treturn ( 1 - t ) * x + t * y;\n\n}\n\n// http://www.rorydriscoll.com/2016/03/07/frame-rate-independent-damping-using-lerp/\nfunction damp( x, y, lambda, dt ) {\n\n\treturn lerp( x, y, 1 - Math.exp( - lambda * dt ) );\n\n}\n\n// https://www.desmos.com/calculator/vcsjnyz7x4\nfunction pingpong( x, length = 1 ) {\n\n\treturn length - Math.abs( euclideanModulo( x, length * 2 ) - length );\n\n}\n\n// http://en.wikipedia.org/wiki/Smoothstep\nfunction smoothstep( x, min, max ) {\n\n\tif ( x <= min ) return 0;\n\tif ( x >= max ) return 1;\n\n\tx = ( x - min ) / ( max - min );\n\n\treturn x * x * ( 3 - 2 * x );\n\n}\n\nfunction smootherstep( x, min, max ) {\n\n\tif ( x <= min ) return 0;\n\tif ( x >= max ) return 1;\n\n\tx = ( x - min ) / ( max - min );\n\n\treturn x * x * x * ( x * ( x * 6 - 15 ) + 10 );\n\n}\n\n// Random integer from interval\nfunction randInt( low, high ) {\n\n\treturn low + Math.floor( Math.random() * ( high - low + 1 ) );\n\n}\n\n// Random float from interval\nfunction randFloat( low, high ) {\n\n\treturn low + Math.random() * ( high - low );\n\n}\n\n// Random float from <-range/2, range/2> interval\nfunction randFloatSpread( range ) {\n\n\treturn range * ( 0.5 - Math.random() );\n\n}\n\n// Deterministic pseudo-random float in the interval [ 0, 1 ]\nfunction seededRandom( s ) {\n\n\tif ( s !== undefined ) _seed = s;\n\n\t// Mulberry32 generator\n\n\tlet t = _seed += 0x6D2B79F5;\n\n\tt = Math.imul( t ^ t >>> 15, t | 1 );\n\n\tt ^= t + Math.imul( t ^ t >>> 7, t | 61 );\n\n\treturn ( ( t ^ t >>> 14 ) >>> 0 ) / 4294967296;\n\n}\n\nfunction degToRad( degrees ) {\n\n\treturn degrees * DEG2RAD;\n\n}\n\nfunction radToDeg( radians ) {\n\n\treturn radians * RAD2DEG;\n\n}\n\nfunction isPowerOfTwo( value ) {\n\n\treturn ( value & ( value - 1 ) ) === 0 && value !== 0;\n\n}\n\nfunction ceilPowerOfTwo( value ) {\n\n\treturn Math.pow( 2, Math.ceil( Math.log( value ) / Math.LN2 ) );\n\n}\n\nfunction floorPowerOfTwo( value ) {\n\n\treturn Math.pow( 2, Math.floor( Math.log( value ) / Math.LN2 ) );\n\n}\n\nfunction setQuaternionFromProperEuler( q, a, b, c, order ) {\n\n\t// Intrinsic Proper Euler Angles - see https://en.wikipedia.org/wiki/Euler_angles\n\n\t// rotations are applied to the axes in the order specified by 'order'\n\t// rotation by angle 'a' is applied first, then by angle 'b', then by angle 'c'\n\t// angles are in radians\n\n\tconst cos = Math.cos;\n\tconst sin = Math.sin;\n\n\tconst c2 = cos( b / 2 );\n\tconst s2 = sin( b / 2 );\n\n\tconst c13 = cos( ( a + c ) / 2 );\n\tconst s13 = sin( ( a + c ) / 2 );\n\n\tconst c1_3 = cos( ( a - c ) / 2 );\n\tconst s1_3 = sin( ( a - c ) / 2 );\n\n\tconst c3_1 = cos( ( c - a ) / 2 );\n\tconst s3_1 = sin( ( c - a ) / 2 );\n\n\tswitch ( order ) {\n\n\t\tcase 'XYX':\n\t\t\tq.set( c2 * s13, s2 * c1_3, s2 * s1_3, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'YZY':\n\t\t\tq.set( s2 * s1_3, c2 * s13, s2 * c1_3, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'ZXZ':\n\t\t\tq.set( s2 * c1_3, s2 * s1_3, c2 * s13, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'XZX':\n\t\t\tq.set( c2 * s13, s2 * s3_1, s2 * c3_1, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'YXY':\n\t\t\tq.set( s2 * c3_1, c2 * s13, s2 * s3_1, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'ZYZ':\n\t\t\tq.set( s2 * s3_1, s2 * c3_1, c2 * s13, c2 * c13 );\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order: ' + order );\n\n\t}\n\n}\n\nfunction denormalize( value, array ) {\n\n\tswitch ( array.constructor ) {\n\n\t\tcase Float32Array:\n\n\t\t\treturn value;\n\n\t\tcase Uint32Array:\n\n\t\t\treturn value / 4294967295.0;\n\n\t\tcase Uint16Array:\n\n\t\t\treturn value / 65535.0;\n\n\t\tcase Uint8Array:\n\n\t\t\treturn value / 255.0;\n\n\t\tcase Int32Array:\n\n\t\t\treturn Math.max( value / 2147483647.0, - 1.0 );\n\n\t\tcase Int16Array:\n\n\t\t\treturn Math.max( value / 32767.0, - 1.0 );\n\n\t\tcase Int8Array:\n\n\t\t\treturn Math.max( value / 127.0, - 1.0 );\n\n\t\tdefault:\n\n\t\t\tthrow new Error( 'Invalid component type.' );\n\n\t}\n\n}\n\nfunction normalize( value, array ) {\n\n\tswitch ( array.constructor ) {\n\n\t\tcase Float32Array:\n\n\t\t\treturn value;\n\n\t\tcase Uint32Array:\n\n\t\t\treturn Math.round( value * 4294967295.0 );\n\n\t\tcase Uint16Array:\n\n\t\t\treturn Math.round( value * 65535.0 );\n\n\t\tcase Uint8Array:\n\n\t\t\treturn Math.round( value * 255.0 );\n\n\t\tcase Int32Array:\n\n\t\t\treturn Math.round( value * 2147483647.0 );\n\n\t\tcase Int16Array:\n\n\t\t\treturn Math.round( value * 32767.0 );\n\n\t\tcase Int8Array:\n\n\t\t\treturn Math.round( value * 127.0 );\n\n\t\tdefault:\n\n\t\t\tthrow new Error( 'Invalid component type.' );\n\n\t}\n\n}\n\nconst MathUtils = {\n\tDEG2RAD: DEG2RAD,\n\tRAD2DEG: RAD2DEG,\n\tgenerateUUID: generateUUID,\n\tclamp: clamp,\n\teuclideanModulo: euclideanModulo,\n\tmapLinear: mapLinear,\n\tinverseLerp: inverseLerp,\n\tlerp: lerp,\n\tdamp: damp,\n\tpingpong: pingpong,\n\tsmoothstep: smoothstep,\n\tsmootherstep: smootherstep,\n\trandInt: randInt,\n\trandFloat: randFloat,\n\trandFloatSpread: randFloatSpread,\n\tseededRandom: seededRandom,\n\tdegToRad: degToRad,\n\tradToDeg: radToDeg,\n\tisPowerOfTwo: isPowerOfTwo,\n\tceilPowerOfTwo: ceilPowerOfTwo,\n\tfloorPowerOfTwo: floorPowerOfTwo,\n\tsetQuaternionFromProperEuler: setQuaternionFromProperEuler,\n\tnormalize: normalize,\n\tdenormalize: denormalize\n};\n\nclass Vector2 {\n\n\tconstructor( x = 0, y = 0 ) {\n\n\t\tVector2.prototype.isVector2 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\n\t}\n\n\tget width() {\n\n\t\treturn this.x;\n\n\t}\n\n\tset width( value ) {\n\n\t\tthis.x = value;\n\n\t}\n\n\tget height() {\n\n\t\treturn this.y;\n\n\t}\n\n\tset height( value ) {\n\n\t\tthis.y = value;\n\n\t}\n\n\tset( x, y ) {\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tdivide( v ) {\n\n\t\tthis.x /= v.x;\n\t\tthis.y /= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst x = this.x, y = this.y;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 3 ] * y + e[ 6 ];\n\t\tthis.y = e[ 1 ] * x + e[ 4 ] * y + e[ 7 ];\n\n\t\treturn this;\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y;\n\n\t}\n\n\tcross( v ) {\n\n\t\treturn this.x * v.y - this.y * v.x;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tangle() {\n\n\t\t// computes the angle in radians with respect to the positive x-axis\n\n\t\tconst angle = Math.atan2( - this.y, - this.x ) + Math.PI;\n\n\t\treturn angle;\n\n\t}\n\n\tangleTo( v ) {\n\n\t\tconst denominator = Math.sqrt( this.lengthSq() * v.lengthSq() );\n\n\t\tif ( denominator === 0 ) return Math.PI / 2;\n\n\t\tconst theta = this.dot( v ) / denominator;\n\n\t\t// clamp, to handle numerical problems\n\n\t\treturn Math.acos( clamp( theta, - 1, 1 ) );\n\n\t}\n\n\tdistanceTo( v ) {\n\n\t\treturn Math.sqrt( this.distanceToSquared( v ) );\n\n\t}\n\n\tdistanceToSquared( v ) {\n\n\t\tconst dx = this.x - v.x, dy = this.y - v.y;\n\t\treturn dx * dx + dy * dy;\n\n\t}\n\n\tmanhattanDistanceTo( v ) {\n\n\t\treturn Math.abs( this.x - v.x ) + Math.abs( this.y - v.y );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\n\t\treturn this;\n\n\t}\n\n\trotateAround( center, angle ) {\n\n\t\tconst c = Math.cos( angle ), s = Math.sin( angle );\n\n\t\tconst x = this.x - center.x;\n\t\tconst y = this.y - center.y;\n\n\t\tthis.x = x * c - y * s + center.x;\n\t\tthis.y = x * s + y * c + center.y;\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\n\t}\n\n}\n\nclass Matrix3 {\n\n\tconstructor( n11, n12, n13, n21, n22, n23, n31, n32, n33 ) {\n\n\t\tMatrix3.prototype.isMatrix3 = true;\n\n\t\tthis.elements = [\n\n\t\t\t1, 0, 0,\n\t\t\t0, 1, 0,\n\t\t\t0, 0, 1\n\n\t\t];\n\n\t\tif ( n11 !== undefined ) {\n\n\t\t\tthis.set( n11, n12, n13, n21, n22, n23, n31, n32, n33 );\n\n\t\t}\n\n\t}\n\n\tset( n11, n12, n13, n21, n22, n23, n31, n32, n33 ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] = n11; te[ 1 ] = n21; te[ 2 ] = n31;\n\t\tte[ 3 ] = n12; te[ 4 ] = n22; te[ 5 ] = n32;\n\t\tte[ 6 ] = n13; te[ 7 ] = n23; te[ 8 ] = n33;\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0,\n\t\t\t0, 1, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tcopy( m ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tte[ 0 ] = me[ 0 ]; te[ 1 ] = me[ 1 ]; te[ 2 ] = me[ 2 ];\n\t\tte[ 3 ] = me[ 3 ]; te[ 4 ] = me[ 4 ]; te[ 5 ] = me[ 5 ];\n\t\tte[ 6 ] = me[ 6 ]; te[ 7 ] = me[ 7 ]; te[ 8 ] = me[ 8 ];\n\n\t\treturn this;\n\n\t}\n\n\textractBasis( xAxis, yAxis, zAxis ) {\n\n\t\txAxis.setFromMatrix3Column( this, 0 );\n\t\tyAxis.setFromMatrix3Column( this, 1 );\n\t\tzAxis.setFromMatrix3Column( this, 2 );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrix4( m ) {\n\n\t\tconst me = m.elements;\n\n\t\tthis.set(\n\n\t\t\tme[ 0 ], me[ 4 ], me[ 8 ],\n\t\t\tme[ 1 ], me[ 5 ], me[ 9 ],\n\t\t\tme[ 2 ], me[ 6 ], me[ 10 ]\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( m ) {\n\n\t\treturn this.multiplyMatrices( this, m );\n\n\t}\n\n\tpremultiply( m ) {\n\n\t\treturn this.multiplyMatrices( m, this );\n\n\t}\n\n\tmultiplyMatrices( a, b ) {\n\n\t\tconst ae = a.elements;\n\t\tconst be = b.elements;\n\t\tconst te = this.elements;\n\n\t\tconst a11 = ae[ 0 ], a12 = ae[ 3 ], a13 = ae[ 6 ];\n\t\tconst a21 = ae[ 1 ], a22 = ae[ 4 ], a23 = ae[ 7 ];\n\t\tconst a31 = ae[ 2 ], a32 = ae[ 5 ], a33 = ae[ 8 ];\n\n\t\tconst b11 = be[ 0 ], b12 = be[ 3 ], b13 = be[ 6 ];\n\t\tconst b21 = be[ 1 ], b22 = be[ 4 ], b23 = be[ 7 ];\n\t\tconst b31 = be[ 2 ], b32 = be[ 5 ], b33 = be[ 8 ];\n\n\t\tte[ 0 ] = a11 * b11 + a12 * b21 + a13 * b31;\n\t\tte[ 3 ] = a11 * b12 + a12 * b22 + a13 * b32;\n\t\tte[ 6 ] = a11 * b13 + a12 * b23 + a13 * b33;\n\n\t\tte[ 1 ] = a21 * b11 + a22 * b21 + a23 * b31;\n\t\tte[ 4 ] = a21 * b12 + a22 * b22 + a23 * b32;\n\t\tte[ 7 ] = a21 * b13 + a22 * b23 + a23 * b33;\n\n\t\tte[ 2 ] = a31 * b11 + a32 * b21 + a33 * b31;\n\t\tte[ 5 ] = a31 * b12 + a32 * b22 + a33 * b32;\n\t\tte[ 8 ] = a31 * b13 + a32 * b23 + a33 * b33;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] *= s; te[ 3 ] *= s; te[ 6 ] *= s;\n\t\tte[ 1 ] *= s; te[ 4 ] *= s; te[ 7 ] *= s;\n\t\tte[ 2 ] *= s; te[ 5 ] *= s; te[ 8 ] *= s;\n\n\t\treturn this;\n\n\t}\n\n\tdeterminant() {\n\n\t\tconst te = this.elements;\n\n\t\tconst a = te[ 0 ], b = te[ 1 ], c = te[ 2 ],\n\t\t\td = te[ 3 ], e = te[ 4 ], f = te[ 5 ],\n\t\t\tg = te[ 6 ], h = te[ 7 ], i = te[ 8 ];\n\n\t\treturn a * e * i - a * f * h - b * d * i + b * f * g + c * d * h - c * e * g;\n\n\t}\n\n\tinvert() {\n\n\t\tconst te = this.elements,\n\n\t\t\tn11 = te[ 0 ], n21 = te[ 1 ], n31 = te[ 2 ],\n\t\t\tn12 = te[ 3 ], n22 = te[ 4 ], n32 = te[ 5 ],\n\t\t\tn13 = te[ 6 ], n23 = te[ 7 ], n33 = te[ 8 ],\n\n\t\t\tt11 = n33 * n22 - n32 * n23,\n\t\t\tt12 = n32 * n13 - n33 * n12,\n\t\t\tt13 = n23 * n12 - n22 * n13,\n\n\t\t\tdet = n11 * t11 + n21 * t12 + n31 * t13;\n\n\t\tif ( det === 0 ) return this.set( 0, 0, 0, 0, 0, 0, 0, 0, 0 );\n\n\t\tconst detInv = 1 / det;\n\n\t\tte[ 0 ] = t11 * detInv;\n\t\tte[ 1 ] = ( n31 * n23 - n33 * n21 ) * detInv;\n\t\tte[ 2 ] = ( n32 * n21 - n31 * n22 ) * detInv;\n\n\t\tte[ 3 ] = t12 * detInv;\n\t\tte[ 4 ] = ( n33 * n11 - n31 * n13 ) * detInv;\n\t\tte[ 5 ] = ( n31 * n12 - n32 * n11 ) * detInv;\n\n\t\tte[ 6 ] = t13 * detInv;\n\t\tte[ 7 ] = ( n21 * n13 - n23 * n11 ) * detInv;\n\t\tte[ 8 ] = ( n22 * n11 - n21 * n12 ) * detInv;\n\n\t\treturn this;\n\n\t}\n\n\ttranspose() {\n\n\t\tlet tmp;\n\t\tconst m = this.elements;\n\n\t\ttmp = m[ 1 ]; m[ 1 ] = m[ 3 ]; m[ 3 ] = tmp;\n\t\ttmp = m[ 2 ]; m[ 2 ] = m[ 6 ]; m[ 6 ] = tmp;\n\t\ttmp = m[ 5 ]; m[ 5 ] = m[ 7 ]; m[ 7 ] = tmp;\n\n\t\treturn this;\n\n\t}\n\n\tgetNormalMatrix( matrix4 ) {\n\n\t\treturn this.setFromMatrix4( matrix4 ).invert().transpose();\n\n\t}\n\n\ttransposeIntoArray( r ) {\n\n\t\tconst m = this.elements;\n\n\t\tr[ 0 ] = m[ 0 ];\n\t\tr[ 1 ] = m[ 3 ];\n\t\tr[ 2 ] = m[ 6 ];\n\t\tr[ 3 ] = m[ 1 ];\n\t\tr[ 4 ] = m[ 4 ];\n\t\tr[ 5 ] = m[ 7 ];\n\t\tr[ 6 ] = m[ 2 ];\n\t\tr[ 7 ] = m[ 5 ];\n\t\tr[ 8 ] = m[ 8 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetUvTransform( tx, ty, sx, sy, rotation, cx, cy ) {\n\n\t\tconst c = Math.cos( rotation );\n\t\tconst s = Math.sin( rotation );\n\n\t\tthis.set(\n\t\t\tsx * c, sx * s, - sx * ( c * cx + s * cy ) + cx + tx,\n\t\t\t- sy * s, sy * c, - sy * ( - s * cx + c * cy ) + cy + ty,\n\t\t\t0, 0, 1\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\t//\n\n\tscale( sx, sy ) {\n\n\t\tthis.premultiply( _m3.makeScale( sx, sy ) );\n\n\t\treturn this;\n\n\t}\n\n\trotate( theta ) {\n\n\t\tthis.premultiply( _m3.makeRotation( - theta ) );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( tx, ty ) {\n\n\t\tthis.premultiply( _m3.makeTranslation( tx, ty ) );\n\n\t\treturn this;\n\n\t}\n\n\t// for 2D Transforms\n\n\tmakeTranslation( x, y ) {\n\n\t\tif ( x.isVector2 ) {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, x.x,\n\t\t\t\t0, 1, x.y,\n\t\t\t\t0, 0, 1\n\n\t\t\t);\n\n\t\t} else {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, x,\n\t\t\t\t0, 1, y,\n\t\t\t\t0, 0, 1\n\n\t\t\t);\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotation( theta ) {\n\n\t\t// counterclockwise\n\n\t\tconst c = Math.cos( theta );\n\t\tconst s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\tc, - s, 0,\n\t\t\ts, c, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeScale( x, y ) {\n\n\t\tthis.set(\n\n\t\t\tx, 0, 0,\n\t\t\t0, y, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\t//\n\n\tequals( matrix ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = matrix.elements;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tif ( te[ i ] !== me[ i ] ) return false;\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.elements[ i ] = array[ i + offset ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst te = this.elements;\n\n\t\tarray[ offset ] = te[ 0 ];\n\t\tarray[ offset + 1 ] = te[ 1 ];\n\t\tarray[ offset + 2 ] = te[ 2 ];\n\n\t\tarray[ offset + 3 ] = te[ 3 ];\n\t\tarray[ offset + 4 ] = te[ 4 ];\n\t\tarray[ offset + 5 ] = te[ 5 ];\n\n\t\tarray[ offset + 6 ] = te[ 6 ];\n\t\tarray[ offset + 7 ] = te[ 7 ];\n\t\tarray[ offset + 8 ] = te[ 8 ];\n\n\t\treturn array;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().fromArray( this.elements );\n\n\t}\n\n}\n\nconst _m3 = /*@__PURE__*/ new Matrix3();\n\nfunction arrayNeedsUint32( array ) {\n\n\t// assumes larger values usually on last\n\n\tfor ( let i = array.length - 1; i >= 0; -- i ) {\n\n\t\tif ( array[ i ] >= 65535 ) return true; // account for PRIMITIVE_RESTART_FIXED_INDEX, #24565\n\n\t}\n\n\treturn false;\n\n}\n\nconst TYPED_ARRAYS = {\n\tInt8Array: Int8Array,\n\tUint8Array: Uint8Array,\n\tUint8ClampedArray: Uint8ClampedArray,\n\tInt16Array: Int16Array,\n\tUint16Array: Uint16Array,\n\tInt32Array: Int32Array,\n\tUint32Array: Uint32Array,\n\tFloat32Array: Float32Array,\n\tFloat64Array: Float64Array\n};\n\nfunction getTypedArray( type, buffer ) {\n\n\treturn new TYPED_ARRAYS[ type ]( buffer );\n\n}\n\nfunction createElementNS( name ) {\n\n\treturn document.createElementNS( 'http://www.w3.org/1999/xhtml', name );\n\n}\n\nfunction createCanvasElement() {\n\n\tconst canvas = createElementNS( 'canvas' );\n\tcanvas.style.display = 'block';\n\treturn canvas;\n\n}\n\nconst _cache = {};\n\nfunction warnOnce( message ) {\n\n\tif ( message in _cache ) return;\n\n\t_cache[ message ] = true;\n\n\tconsole.warn( message );\n\n}\n\n/**\n * Matrices converting P3 <-> Rec. 709 primaries, without gamut mapping\n * or clipping. Based on W3C specifications for sRGB and Display P3,\n * and ICC specifications for the D50 connection space. Values in/out\n * are _linear_ sRGB and _linear_ Display P3.\n *\n * Note that both sRGB and Display P3 use the sRGB transfer functions.\n *\n * Reference:\n * - http://www.russellcottrell.com/photo/matrixCalculator.htm\n */\n\nconst LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = /*@__PURE__*/ new Matrix3().set(\n\t0.8224621, 0.177538, 0.0,\n\t0.0331941, 0.9668058, 0.0,\n\t0.0170827, 0.0723974, 0.9105199,\n);\n\nconst LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = /*@__PURE__*/ new Matrix3().set(\n\t1.2249401, - 0.2249404, 0.0,\n\t- 0.0420569, 1.0420571, 0.0,\n\t- 0.0196376, - 0.0786361, 1.0982735\n);\n\n/**\n * Defines supported color spaces by transfer function and primaries,\n * and provides conversions to/from the Linear-sRGB reference space.\n */\nconst COLOR_SPACES = {\n\t[ LinearSRGBColorSpace ]: {\n\t\ttransfer: LinearTransfer,\n\t\tprimaries: Rec709Primaries,\n\t\ttoReference: ( color ) => color,\n\t\tfromReference: ( color ) => color,\n\t},\n\t[ SRGBColorSpace ]: {\n\t\ttransfer: SRGBTransfer,\n\t\tprimaries: Rec709Primaries,\n\t\ttoReference: ( color ) => color.convertSRGBToLinear(),\n\t\tfromReference: ( color ) => color.convertLinearToSRGB(),\n\t},\n\t[ LinearDisplayP3ColorSpace ]: {\n\t\ttransfer: LinearTransfer,\n\t\tprimaries: P3Primaries,\n\t\ttoReference: ( color ) => color.applyMatrix3( LINEAR_DISPLAY_P3_TO_LINEAR_SRGB ),\n\t\tfromReference: ( color ) => color.applyMatrix3( LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 ),\n\t},\n\t[ DisplayP3ColorSpace ]: {\n\t\ttransfer: SRGBTransfer,\n\t\tprimaries: P3Primaries,\n\t\ttoReference: ( color ) => color.convertSRGBToLinear().applyMatrix3( LINEAR_DISPLAY_P3_TO_LINEAR_SRGB ),\n\t\tfromReference: ( color ) => color.applyMatrix3( LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 ).convertLinearToSRGB(),\n\t},\n};\n\nconst SUPPORTED_WORKING_COLOR_SPACES = new Set( [ LinearSRGBColorSpace, LinearDisplayP3ColorSpace ] );\n\nconst ColorManagement = {\n\n\tenabled: true,\n\n\t_workingColorSpace: LinearSRGBColorSpace,\n\n\tget workingColorSpace() {\n\n\t\treturn this._workingColorSpace;\n\n\t},\n\n\tset workingColorSpace( colorSpace ) {\n\n\t\tif ( ! SUPPORTED_WORKING_COLOR_SPACES.has( colorSpace ) ) {\n\n\t\t\tthrow new Error( `Unsupported working color space, \"${ colorSpace }\".` );\n\n\t\t}\n\n\t\tthis._workingColorSpace = colorSpace;\n\n\t},\n\n\tconvert: function ( color, sourceColorSpace, targetColorSpace ) {\n\n\t\tif ( this.enabled === false || sourceColorSpace === targetColorSpace || ! sourceColorSpace || ! targetColorSpace ) {\n\n\t\t\treturn color;\n\n\t\t}\n\n\t\tconst sourceToReference = COLOR_SPACES[ sourceColorSpace ].toReference;\n\t\tconst targetFromReference = COLOR_SPACES[ targetColorSpace ].fromReference;\n\n\t\treturn targetFromReference( sourceToReference( color ) );\n\n\t},\n\n\tfromWorkingColorSpace: function ( color, targetColorSpace ) {\n\n\t\treturn this.convert( color, this._workingColorSpace, targetColorSpace );\n\n\t},\n\n\ttoWorkingColorSpace: function ( color, sourceColorSpace ) {\n\n\t\treturn this.convert( color, sourceColorSpace, this._workingColorSpace );\n\n\t},\n\n\tgetPrimaries: function ( colorSpace ) {\n\n\t\treturn COLOR_SPACES[ colorSpace ].primaries;\n\n\t},\n\n\tgetTransfer: function ( colorSpace ) {\n\n\t\tif ( colorSpace === NoColorSpace ) return LinearTransfer;\n\n\t\treturn COLOR_SPACES[ colorSpace ].transfer;\n\n\t},\n\n};\n\n\nfunction SRGBToLinear( c ) {\n\n\treturn ( c < 0.04045 ) ? c * 0.0773993808 : Math.pow( c * 0.9478672986 + 0.0521327014, 2.4 );\n\n}\n\nfunction LinearToSRGB( c ) {\n\n\treturn ( c < 0.0031308 ) ? c * 12.92 : 1.055 * ( Math.pow( c, 0.41666 ) ) - 0.055;\n\n}\n\nlet _canvas;\n\nclass ImageUtils {\n\n\tstatic getDataURL( image ) {\n\n\t\tif ( /^data:/i.test( image.src ) ) {\n\n\t\t\treturn image.src;\n\n\t\t}\n\n\t\tif ( typeof HTMLCanvasElement === 'undefined' ) {\n\n\t\t\treturn image.src;\n\n\t\t}\n\n\t\tlet canvas;\n\n\t\tif ( image instanceof HTMLCanvasElement ) {\n\n\t\t\tcanvas = image;\n\n\t\t} else {\n\n\t\t\tif ( _canvas === undefined ) _canvas = createElementNS( 'canvas' );\n\n\t\t\t_canvas.width = image.width;\n\t\t\t_canvas.height = image.height;\n\n\t\t\tconst context = _canvas.getContext( '2d' );\n\n\t\t\tif ( image instanceof ImageData ) {\n\n\t\t\t\tcontext.putImageData( image, 0, 0 );\n\n\t\t\t} else {\n\n\t\t\t\tcontext.drawImage( image, 0, 0, image.width, image.height );\n\n\t\t\t}\n\n\t\t\tcanvas = _canvas;\n\n\t\t}\n\n\t\tif ( canvas.width > 2048 || canvas.height > 2048 ) {\n\n\t\t\tconsole.warn( 'THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons', image );\n\n\t\t\treturn canvas.toDataURL( 'image/jpeg', 0.6 );\n\n\t\t} else {\n\n\t\t\treturn canvas.toDataURL( 'image/png' );\n\n\t\t}\n\n\t}\n\n\tstatic sRGBToLinear( image ) {\n\n\t\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t\tconst canvas = createElementNS( 'canvas' );\n\n\t\t\tcanvas.width = image.width;\n\t\t\tcanvas.height = image.height;\n\n\t\t\tconst context = canvas.getContext( '2d' );\n\t\t\tcontext.drawImage( image, 0, 0, image.width, image.height );\n\n\t\t\tconst imageData = context.getImageData( 0, 0, image.width, image.height );\n\t\t\tconst data = imageData.data;\n\n\t\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\t\tdata[ i ] = SRGBToLinear( data[ i ] / 255 ) * 255;\n\n\t\t\t}\n\n\t\t\tcontext.putImageData( imageData, 0, 0 );\n\n\t\t\treturn canvas;\n\n\t\t} else if ( image.data ) {\n\n\t\t\tconst data = image.data.slice( 0 );\n\n\t\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\t\tif ( data instanceof Uint8Array || data instanceof Uint8ClampedArray ) {\n\n\t\t\t\t\tdata[ i ] = Math.floor( SRGBToLinear( data[ i ] / 255 ) * 255 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// assuming float\n\n\t\t\t\t\tdata[ i ] = SRGBToLinear( data[ i ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tdata: data,\n\t\t\t\twidth: image.width,\n\t\t\t\theight: image.height\n\t\t\t};\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied.' );\n\t\t\treturn image;\n\n\t\t}\n\n\t}\n\n}\n\nlet _sourceId = 0;\n\nclass Source {\n\n\tconstructor( data = null ) {\n\n\t\tthis.isSource = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _sourceId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.data = data;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( ! isRootObject && meta.images[ this.uuid ] !== undefined ) {\n\n\t\t\treturn meta.images[ this.uuid ];\n\n\t\t}\n\n\t\tconst output = {\n\t\t\tuuid: this.uuid,\n\t\t\turl: ''\n\t\t};\n\n\t\tconst data = this.data;\n\n\t\tif ( data !== null ) {\n\n\t\t\tlet url;\n\n\t\t\tif ( Array.isArray( data ) ) {\n\n\t\t\t\t// cube texture\n\n\t\t\t\turl = [];\n\n\t\t\t\tfor ( let i = 0, l = data.length; i < l; i ++ ) {\n\n\t\t\t\t\tif ( data[ i ].isDataTexture ) {\n\n\t\t\t\t\t\turl.push( serializeImage( data[ i ].image ) );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\turl.push( serializeImage( data[ i ] ) );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// texture\n\n\t\t\t\turl = serializeImage( data );\n\n\t\t\t}\n\n\t\t\toutput.url = url;\n\n\t\t}\n\n\t\tif ( ! isRootObject ) {\n\n\t\t\tmeta.images[ this.uuid ] = output;\n\n\t\t}\n\n\t\treturn output;\n\n\t}\n\n}\n\nfunction serializeImage( image ) {\n\n\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t// default images\n\n\t\treturn ImageUtils.getDataURL( image );\n\n\t} else {\n\n\t\tif ( image.data ) {\n\n\t\t\t// images of DataTexture\n\n\t\t\treturn {\n\t\t\t\tdata: Array.from( image.data ),\n\t\t\t\twidth: image.width,\n\t\t\t\theight: image.height,\n\t\t\t\ttype: image.data.constructor.name\n\t\t\t};\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.Texture: Unable to serialize Texture.' );\n\t\t\treturn {};\n\n\t\t}\n\n\t}\n\n}\n\nlet _textureId = 0;\n\nclass Texture extends EventDispatcher {\n\n\tconstructor( image = Texture.DEFAULT_IMAGE, mapping = Texture.DEFAULT_MAPPING, wrapS = ClampToEdgeWrapping, wrapT = ClampToEdgeWrapping, magFilter = LinearFilter, minFilter = LinearMipmapLinearFilter, format = RGBAFormat, type = UnsignedByteType, anisotropy = Texture.DEFAULT_ANISOTROPY, colorSpace = NoColorSpace ) {\n\n\t\tsuper();\n\n\t\tthis.isTexture = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _textureId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\n\t\tthis.source = new Source( image );\n\t\tthis.mipmaps = [];\n\n\t\tthis.mapping = mapping;\n\t\tthis.channel = 0;\n\n\t\tthis.wrapS = wrapS;\n\t\tthis.wrapT = wrapT;\n\n\t\tthis.magFilter = magFilter;\n\t\tthis.minFilter = minFilter;\n\n\t\tthis.anisotropy = anisotropy;\n\n\t\tthis.format = format;\n\t\tthis.internalFormat = null;\n\t\tthis.type = type;\n\n\t\tthis.offset = new Vector2( 0, 0 );\n\t\tthis.repeat = new Vector2( 1, 1 );\n\t\tthis.center = new Vector2( 0, 0 );\n\t\tthis.rotation = 0;\n\n\t\tthis.matrixAutoUpdate = true;\n\t\tthis.matrix = new Matrix3();\n\n\t\tthis.generateMipmaps = true;\n\t\tthis.premultiplyAlpha = false;\n\t\tthis.flipY = true;\n\t\tthis.unpackAlignment = 4;\t// valid values: 1, 2, 4, 8 (see http://www.khronos.org/opengles/sdk/docs/man/xhtml/glPixelStorei.xml)\n\n\t\tif ( typeof colorSpace === 'string' ) {\n\n\t\t\tthis.colorSpace = colorSpace;\n\n\t\t} else { // @deprecated, r152\n\n\t\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\t\tthis.colorSpace = colorSpace === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\n\t\tthis.userData = {};\n\n\t\tthis.version = 0;\n\t\tthis.onUpdate = null;\n\n\t\tthis.isRenderTargetTexture = false; // indicates whether a texture belongs to a render target or not\n\t\tthis.needsPMREMUpdate = false; // indicates whether this texture should be processed by PMREMGenerator or not (only relevant for render target textures)\n\n\t}\n\n\tget image() {\n\n\t\treturn this.source.data;\n\n\t}\n\n\tset image( value = null ) {\n\n\t\tthis.source.data = value;\n\n\t}\n\n\tupdateMatrix() {\n\n\t\tthis.matrix.setUvTransform( this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.source = source.source;\n\t\tthis.mipmaps = source.mipmaps.slice( 0 );\n\n\t\tthis.mapping = source.mapping;\n\t\tthis.channel = source.channel;\n\n\t\tthis.wrapS = source.wrapS;\n\t\tthis.wrapT = source.wrapT;\n\n\t\tthis.magFilter = source.magFilter;\n\t\tthis.minFilter = source.minFilter;\n\n\t\tthis.anisotropy = source.anisotropy;\n\n\t\tthis.format = source.format;\n\t\tthis.internalFormat = source.internalFormat;\n\t\tthis.type = source.type;\n\n\t\tthis.offset.copy( source.offset );\n\t\tthis.repeat.copy( source.repeat );\n\t\tthis.center.copy( source.center );\n\t\tthis.rotation = source.rotation;\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\t\tthis.matrix.copy( source.matrix );\n\n\t\tthis.generateMipmaps = source.generateMipmaps;\n\t\tthis.premultiplyAlpha = source.premultiplyAlpha;\n\t\tthis.flipY = source.flipY;\n\t\tthis.unpackAlignment = source.unpackAlignment;\n\t\tthis.colorSpace = source.colorSpace;\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\tthis.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( ! isRootObject && meta.textures[ this.uuid ] !== undefined ) {\n\n\t\t\treturn meta.textures[ this.uuid ];\n\n\t\t}\n\n\t\tconst output = {\n\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Texture',\n\t\t\t\tgenerator: 'Texture.toJSON'\n\t\t\t},\n\n\t\t\tuuid: this.uuid,\n\t\t\tname: this.name,\n\n\t\t\timage: this.source.toJSON( meta ).uuid,\n\n\t\t\tmapping: this.mapping,\n\t\t\tchannel: this.channel,\n\n\t\t\trepeat: [ this.repeat.x, this.repeat.y ],\n\t\t\toffset: [ this.offset.x, this.offset.y ],\n\t\t\tcenter: [ this.center.x, this.center.y ],\n\t\t\trotation: this.rotation,\n\n\t\t\twrap: [ this.wrapS, this.wrapT ],\n\n\t\t\tformat: this.format,\n\t\t\tinternalFormat: this.internalFormat,\n\t\t\ttype: this.type,\n\t\t\tcolorSpace: this.colorSpace,\n\n\t\t\tminFilter: this.minFilter,\n\t\t\tmagFilter: this.magFilter,\n\t\t\tanisotropy: this.anisotropy,\n\n\t\t\tflipY: this.flipY,\n\n\t\t\tgenerateMipmaps: this.generateMipmaps,\n\t\t\tpremultiplyAlpha: this.premultiplyAlpha,\n\t\t\tunpackAlignment: this.unpackAlignment\n\n\t\t};\n\n\t\tif ( Object.keys( this.userData ).length > 0 ) output.userData = this.userData;\n\n\t\tif ( ! isRootObject ) {\n\n\t\t\tmeta.textures[ this.uuid ] = output;\n\n\t\t}\n\n\t\treturn output;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n\ttransformUv( uv ) {\n\n\t\tif ( this.mapping !== UVMapping ) return uv;\n\n\t\tuv.applyMatrix3( this.matrix );\n\n\t\tif ( uv.x < 0 || uv.x > 1 ) {\n\n\t\t\tswitch ( this.wrapS ) {\n\n\t\t\t\tcase RepeatWrapping:\n\n\t\t\t\t\tuv.x = uv.x - Math.floor( uv.x );\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ClampToEdgeWrapping:\n\n\t\t\t\t\tuv.x = uv.x < 0 ? 0 : 1;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MirroredRepeatWrapping:\n\n\t\t\t\t\tif ( Math.abs( Math.floor( uv.x ) % 2 ) === 1 ) {\n\n\t\t\t\t\t\tuv.x = Math.ceil( uv.x ) - uv.x;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tuv.x = uv.x - Math.floor( uv.x );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( uv.y < 0 || uv.y > 1 ) {\n\n\t\t\tswitch ( this.wrapT ) {\n\n\t\t\t\tcase RepeatWrapping:\n\n\t\t\t\t\tuv.y = uv.y - Math.floor( uv.y );\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ClampToEdgeWrapping:\n\n\t\t\t\t\tuv.y = uv.y < 0 ? 0 : 1;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MirroredRepeatWrapping:\n\n\t\t\t\t\tif ( Math.abs( Math.floor( uv.y ) % 2 ) === 1 ) {\n\n\t\t\t\t\t\tuv.y = Math.ceil( uv.y ) - uv.y;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tuv.y = uv.y - Math.floor( uv.y );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.flipY ) {\n\n\t\t\tuv.y = 1 - uv.y;\n\n\t\t}\n\n\t\treturn uv;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) {\n\n\t\t\tthis.version ++;\n\t\t\tthis.source.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tget encoding() { // @deprecated, r152\n\n\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\treturn this.colorSpace === SRGBColorSpace ? sRGBEncoding : LinearEncoding;\n\n\t}\n\n\tset encoding( encoding ) { // @deprecated, r152\n\n\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\tthis.colorSpace = encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t}\n\n}\n\nTexture.DEFAULT_IMAGE = null;\nTexture.DEFAULT_MAPPING = UVMapping;\nTexture.DEFAULT_ANISOTROPY = 1;\n\nclass Vector4 {\n\n\tconstructor( x = 0, y = 0, z = 0, w = 1 ) {\n\n\t\tVector4.prototype.isVector4 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\t\tthis.w = w;\n\n\t}\n\n\tget width() {\n\n\t\treturn this.z;\n\n\t}\n\n\tset width( value ) {\n\n\t\tthis.z = value;\n\n\t}\n\n\tget height() {\n\n\t\treturn this.w;\n\n\t}\n\n\tset height( value ) {\n\n\t\tthis.w = value;\n\n\t}\n\n\tset( x, y, z, w ) {\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\t\tthis.w = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\t\tthis.z = scalar;\n\t\tthis.w = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( z ) {\n\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetW( w ) {\n\n\t\tthis.w = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tcase 2: this.z = value; break;\n\t\t\tcase 3: this.w = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tcase 2: return this.z;\n\t\t\tcase 3: return this.w;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y, this.z, this.w );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\t\tthis.z = v.z;\n\t\tthis.w = ( v.w !== undefined ) ? v.w : 1;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\t\tthis.z += v.z;\n\t\tthis.w += v.w;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\t\tthis.z += s;\n\t\tthis.w += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\t\tthis.z = a.z + b.z;\n\t\tthis.w = a.w + b.w;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\t\tthis.z += v.z * s;\n\t\tthis.w += v.w * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\t\tthis.z -= v.z;\n\t\tthis.w -= v.w;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\t\tthis.z -= s;\n\t\tthis.w -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\t\tthis.z = a.z - b.z;\n\t\tthis.w = a.w - b.w;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\t\tthis.z *= v.z;\n\t\tthis.w *= v.w;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\t\tthis.z *= scalar;\n\t\tthis.w *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z, w = this.w;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z + e[ 12 ] * w;\n\t\tthis.y = e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z + e[ 13 ] * w;\n\t\tthis.z = e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z + e[ 14 ] * w;\n\t\tthis.w = e[ 3 ] * x + e[ 7 ] * y + e[ 11 ] * z + e[ 15 ] * w;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tsetAxisAngleFromQuaternion( q ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/quaternionToAngle/index.htm\n\n\t\t// q is assumed to be normalized\n\n\t\tthis.w = 2 * Math.acos( q.w );\n\n\t\tconst s = Math.sqrt( 1 - q.w * q.w );\n\n\t\tif ( s < 0.0001 ) {\n\n\t\t\tthis.x = 1;\n\t\t\tthis.y = 0;\n\t\t\tthis.z = 0;\n\n\t\t} else {\n\n\t\t\tthis.x = q.x / s;\n\t\t\tthis.y = q.y / s;\n\t\t\tthis.z = q.z / s;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetAxisAngleFromRotationMatrix( m ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToAngle/index.htm\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tlet angle, x, y, z; // variables for result\n\t\tconst epsilon = 0.01,\t\t// margin to allow for rounding errors\n\t\t\tepsilon2 = 0.1,\t\t// margin to distinguish between 0 and 180 degrees\n\n\t\t\tte = m.elements,\n\n\t\t\tm11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ],\n\t\t\tm21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ],\n\t\t\tm31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ];\n\n\t\tif ( ( Math.abs( m12 - m21 ) < epsilon ) &&\n\t\t ( Math.abs( m13 - m31 ) < epsilon ) &&\n\t\t ( Math.abs( m23 - m32 ) < epsilon ) ) {\n\n\t\t\t// singularity found\n\t\t\t// first check for identity matrix which must have +1 for all terms\n\t\t\t// in leading diagonal and zero in other terms\n\n\t\t\tif ( ( Math.abs( m12 + m21 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m13 + m31 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m23 + m32 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m11 + m22 + m33 - 3 ) < epsilon2 ) ) {\n\n\t\t\t\t// this singularity is identity matrix so angle = 0\n\n\t\t\t\tthis.set( 1, 0, 0, 0 );\n\n\t\t\t\treturn this; // zero angle, arbitrary axis\n\n\t\t\t}\n\n\t\t\t// otherwise this singularity is angle = 180\n\n\t\t\tangle = Math.PI;\n\n\t\t\tconst xx = ( m11 + 1 ) / 2;\n\t\t\tconst yy = ( m22 + 1 ) / 2;\n\t\t\tconst zz = ( m33 + 1 ) / 2;\n\t\t\tconst xy = ( m12 + m21 ) / 4;\n\t\t\tconst xz = ( m13 + m31 ) / 4;\n\t\t\tconst yz = ( m23 + m32 ) / 4;\n\n\t\t\tif ( ( xx > yy ) && ( xx > zz ) ) {\n\n\t\t\t\t// m11 is the largest diagonal term\n\n\t\t\t\tif ( xx < epsilon ) {\n\n\t\t\t\t\tx = 0;\n\t\t\t\t\ty = 0.707106781;\n\t\t\t\t\tz = 0.707106781;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tx = Math.sqrt( xx );\n\t\t\t\t\ty = xy / x;\n\t\t\t\t\tz = xz / x;\n\n\t\t\t\t}\n\n\t\t\t} else if ( yy > zz ) {\n\n\t\t\t\t// m22 is the largest diagonal term\n\n\t\t\t\tif ( yy < epsilon ) {\n\n\t\t\t\t\tx = 0.707106781;\n\t\t\t\t\ty = 0;\n\t\t\t\t\tz = 0.707106781;\n\n\t\t\t\t} else {\n\n\t\t\t\t\ty = Math.sqrt( yy );\n\t\t\t\t\tx = xy / y;\n\t\t\t\t\tz = yz / y;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// m33 is the largest diagonal term so base result on this\n\n\t\t\t\tif ( zz < epsilon ) {\n\n\t\t\t\t\tx = 0.707106781;\n\t\t\t\t\ty = 0.707106781;\n\t\t\t\t\tz = 0;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tz = Math.sqrt( zz );\n\t\t\t\t\tx = xz / z;\n\t\t\t\t\ty = yz / z;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.set( x, y, z, angle );\n\n\t\t\treturn this; // return 180 deg rotation\n\n\t\t}\n\n\t\t// as we have reached here there are no singularities so we can handle normally\n\n\t\tlet s = Math.sqrt( ( m32 - m23 ) * ( m32 - m23 ) +\n\t\t\t( m13 - m31 ) * ( m13 - m31 ) +\n\t\t\t( m21 - m12 ) * ( m21 - m12 ) ); // used to normalize\n\n\t\tif ( Math.abs( s ) < 0.001 ) s = 1;\n\n\t\t// prevent divide by zero, should not happen if matrix is orthogonal and should be\n\t\t// caught by singularity test above, but I've left it in just in case\n\n\t\tthis.x = ( m32 - m23 ) / s;\n\t\tthis.y = ( m13 - m31 ) / s;\n\t\tthis.z = ( m21 - m12 ) / s;\n\t\tthis.w = Math.acos( ( m11 + m22 + m33 - 1 ) / 2 );\n\n\t\treturn this;\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\t\tthis.z = Math.min( this.z, v.z );\n\t\tthis.w = Math.min( this.w, v.w );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\t\tthis.z = Math.max( this.z, v.z );\n\t\tthis.w = Math.max( this.w, v.w );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\t\tthis.z = Math.max( min.z, Math.min( max.z, this.z ) );\n\t\tthis.w = Math.max( min.w, Math.min( max.w, this.w ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\t\tthis.z = Math.max( minVal, Math.min( maxVal, this.z ) );\n\t\tthis.w = Math.max( minVal, Math.min( maxVal, this.w ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\t\tthis.z = Math.floor( this.z );\n\t\tthis.w = Math.floor( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\t\tthis.z = Math.ceil( this.z );\n\t\tthis.w = Math.ceil( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\t\tthis.z = Math.round( this.z );\n\t\tthis.w = Math.round( this.w );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\t\tthis.z = Math.trunc( this.z );\n\t\tthis.w = Math.trunc( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\t\tthis.z = - this.z;\n\t\tthis.w = - this.w;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y + this.z * v.z + this.w * v.w;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y ) + Math.abs( this.z ) + Math.abs( this.w );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\t\tthis.z += ( v.z - this.z ) * alpha;\n\t\tthis.w += ( v.w - this.w ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\t\tthis.z = v1.z + ( v2.z - v1.z ) * alpha;\n\t\tthis.w = v1.w + ( v2.w - v1.w ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) && ( v.z === this.z ) && ( v.w === this.w ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\t\tthis.z = array[ offset + 2 ];\n\t\tthis.w = array[ offset + 3 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\t\tarray[ offset + 2 ] = this.z;\n\t\tarray[ offset + 3 ] = this.w;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\t\tthis.z = attribute.getZ( index );\n\t\tthis.w = attribute.getW( index );\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\t\tthis.z = Math.random();\n\t\tthis.w = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\t\tyield this.z;\n\t\tyield this.w;\n\n\t}\n\n}\n\n/*\n In options, we can specify:\n * Texture parameters for an auto-generated target texture\n * depthBuffer/stencilBuffer: Booleans to indicate if we should generate these buffers\n*/\nclass RenderTarget extends EventDispatcher {\n\n\tconstructor( width = 1, height = 1, options = {} ) {\n\n\t\tsuper();\n\n\t\tthis.isRenderTarget = true;\n\n\t\tthis.width = width;\n\t\tthis.height = height;\n\t\tthis.depth = 1;\n\n\t\tthis.scissor = new Vector4( 0, 0, width, height );\n\t\tthis.scissorTest = false;\n\n\t\tthis.viewport = new Vector4( 0, 0, width, height );\n\n\t\tconst image = { width: width, height: height, depth: 1 };\n\n\t\tif ( options.encoding !== undefined ) {\n\n\t\t\t// @deprecated, r152\n\t\t\twarnOnce( 'THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace.' );\n\t\t\toptions.colorSpace = options.encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\t\toptions = Object.assign( {\n\t\t\tgenerateMipmaps: false,\n\t\t\tinternalFormat: null,\n\t\t\tminFilter: LinearFilter,\n\t\t\tdepthBuffer: true,\n\t\t\tstencilBuffer: false,\n\t\t\tdepthTexture: null,\n\t\t\tsamples: 0\n\t\t}, options );\n\n\t\tthis.texture = new Texture( image, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.colorSpace );\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\tthis.texture.flipY = false;\n\t\tthis.texture.generateMipmaps = options.generateMipmaps;\n\t\tthis.texture.internalFormat = options.internalFormat;\n\n\t\tthis.depthBuffer = options.depthBuffer;\n\t\tthis.stencilBuffer = options.stencilBuffer;\n\n\t\tthis.depthTexture = options.depthTexture;\n\n\t\tthis.samples = options.samples;\n\n\t}\n\n\tsetSize( width, height, depth = 1 ) {\n\n\t\tif ( this.width !== width || this.height !== height || this.depth !== depth ) {\n\n\t\t\tthis.width = width;\n\t\t\tthis.height = height;\n\t\t\tthis.depth = depth;\n\n\t\t\tthis.texture.image.width = width;\n\t\t\tthis.texture.image.height = height;\n\t\t\tthis.texture.image.depth = depth;\n\n\t\t\tthis.dispose();\n\n\t\t}\n\n\t\tthis.viewport.set( 0, 0, width, height );\n\t\tthis.scissor.set( 0, 0, width, height );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\t\tthis.depth = source.depth;\n\n\t\tthis.scissor.copy( source.scissor );\n\t\tthis.scissorTest = source.scissorTest;\n\n\t\tthis.viewport.copy( source.viewport );\n\n\t\tthis.texture = source.texture.clone();\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\t// ensure image object is not shared, see #20328\n\n\t\tconst image = Object.assign( {}, source.texture.image );\n\t\tthis.texture.source = new Source( image );\n\n\t\tthis.depthBuffer = source.depthBuffer;\n\t\tthis.stencilBuffer = source.stencilBuffer;\n\n\t\tif ( source.depthTexture !== null ) this.depthTexture = source.depthTexture.clone();\n\n\t\tthis.samples = source.samples;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nclass WebGLRenderTarget extends RenderTarget {\n\n\tconstructor( width = 1, height = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLRenderTarget = true;\n\n\t}\n\n}\n\nclass DataArrayTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, depth = 1 ) {\n\n\t\tsuper( null );\n\n\t\tthis.isDataArrayTexture = true;\n\n\t\tthis.image = { data, width, height, depth };\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nclass WebGLArrayRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, depth = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLArrayRenderTarget = true;\n\n\t\tthis.depth = depth;\n\n\t\tthis.texture = new DataArrayTexture( null, width, height, depth );\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t}\n\n}\n\nclass Data3DTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, depth = 1 ) {\n\n\t\t// We're going to add .setXXX() methods for setting properties later.\n\t\t// Users can still set in DataTexture3D directly.\n\t\t//\n\t\t//\tconst texture = new THREE.DataTexture3D( data, width, height, depth );\n\t\t// \ttexture.anisotropy = 16;\n\t\t//\n\t\t// See #14839\n\n\t\tsuper( null );\n\n\t\tthis.isData3DTexture = true;\n\n\t\tthis.image = { data, width, height, depth };\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nclass WebGL3DRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, depth = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGL3DRenderTarget = true;\n\n\t\tthis.depth = depth;\n\n\t\tthis.texture = new Data3DTexture( null, width, height, depth );\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t}\n\n}\n\nclass WebGLMultipleRenderTargets extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, count = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLMultipleRenderTargets = true;\n\n\t\tconst texture = this.texture;\n\n\t\tthis.texture = [];\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.texture[ i ] = texture.clone();\n\t\t\tthis.texture[ i ].isRenderTargetTexture = true;\n\n\t\t}\n\n\t}\n\n\tsetSize( width, height, depth = 1 ) {\n\n\t\tif ( this.width !== width || this.height !== height || this.depth !== depth ) {\n\n\t\t\tthis.width = width;\n\t\t\tthis.height = height;\n\t\t\tthis.depth = depth;\n\n\t\t\tfor ( let i = 0, il = this.texture.length; i < il; i ++ ) {\n\n\t\t\t\tthis.texture[ i ].image.width = width;\n\t\t\t\tthis.texture[ i ].image.height = height;\n\t\t\t\tthis.texture[ i ].image.depth = depth;\n\n\t\t\t}\n\n\t\t\tthis.dispose();\n\n\t\t}\n\n\t\tthis.viewport.set( 0, 0, width, height );\n\t\tthis.scissor.set( 0, 0, width, height );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.dispose();\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\t\tthis.depth = source.depth;\n\n\t\tthis.scissor.copy( source.scissor );\n\t\tthis.scissorTest = source.scissorTest;\n\n\t\tthis.viewport.copy( source.viewport );\n\n\t\tthis.depthBuffer = source.depthBuffer;\n\t\tthis.stencilBuffer = source.stencilBuffer;\n\n\t\tif ( source.depthTexture !== null ) this.depthTexture = source.depthTexture.clone();\n\n\t\tthis.texture.length = 0;\n\n\t\tfor ( let i = 0, il = source.texture.length; i < il; i ++ ) {\n\n\t\t\tthis.texture[ i ] = source.texture[ i ].clone();\n\t\t\tthis.texture[ i ].isRenderTargetTexture = true;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Quaternion {\n\n\tconstructor( x = 0, y = 0, z = 0, w = 1 ) {\n\n\t\tthis.isQuaternion = true;\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._w = w;\n\n\t}\n\n\tstatic slerpFlat( dst, dstOffset, src0, srcOffset0, src1, srcOffset1, t ) {\n\n\t\t// fuzz-free, array-based Quaternion SLERP operation\n\n\t\tlet x0 = src0[ srcOffset0 + 0 ],\n\t\t\ty0 = src0[ srcOffset0 + 1 ],\n\t\t\tz0 = src0[ srcOffset0 + 2 ],\n\t\t\tw0 = src0[ srcOffset0 + 3 ];\n\n\t\tconst x1 = src1[ srcOffset1 + 0 ],\n\t\t\ty1 = src1[ srcOffset1 + 1 ],\n\t\t\tz1 = src1[ srcOffset1 + 2 ],\n\t\t\tw1 = src1[ srcOffset1 + 3 ];\n\n\t\tif ( t === 0 ) {\n\n\t\t\tdst[ dstOffset + 0 ] = x0;\n\t\t\tdst[ dstOffset + 1 ] = y0;\n\t\t\tdst[ dstOffset + 2 ] = z0;\n\t\t\tdst[ dstOffset + 3 ] = w0;\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( t === 1 ) {\n\n\t\t\tdst[ dstOffset + 0 ] = x1;\n\t\t\tdst[ dstOffset + 1 ] = y1;\n\t\t\tdst[ dstOffset + 2 ] = z1;\n\t\t\tdst[ dstOffset + 3 ] = w1;\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( w0 !== w1 || x0 !== x1 || y0 !== y1 || z0 !== z1 ) {\n\n\t\t\tlet s = 1 - t;\n\t\t\tconst cos = x0 * x1 + y0 * y1 + z0 * z1 + w0 * w1,\n\t\t\t\tdir = ( cos >= 0 ? 1 : - 1 ),\n\t\t\t\tsqrSin = 1 - cos * cos;\n\n\t\t\t// Skip the Slerp for tiny steps to avoid numeric problems:\n\t\t\tif ( sqrSin > Number.EPSILON ) {\n\n\t\t\t\tconst sin = Math.sqrt( sqrSin ),\n\t\t\t\t\tlen = Math.atan2( sin, cos * dir );\n\n\t\t\t\ts = Math.sin( s * len ) / sin;\n\t\t\t\tt = Math.sin( t * len ) / sin;\n\n\t\t\t}\n\n\t\t\tconst tDir = t * dir;\n\n\t\t\tx0 = x0 * s + x1 * tDir;\n\t\t\ty0 = y0 * s + y1 * tDir;\n\t\t\tz0 = z0 * s + z1 * tDir;\n\t\t\tw0 = w0 * s + w1 * tDir;\n\n\t\t\t// Normalize in case we just did a lerp:\n\t\t\tif ( s === 1 - t ) {\n\n\t\t\t\tconst f = 1 / Math.sqrt( x0 * x0 + y0 * y0 + z0 * z0 + w0 * w0 );\n\n\t\t\t\tx0 *= f;\n\t\t\t\ty0 *= f;\n\t\t\t\tz0 *= f;\n\t\t\t\tw0 *= f;\n\n\t\t\t}\n\n\t\t}\n\n\t\tdst[ dstOffset ] = x0;\n\t\tdst[ dstOffset + 1 ] = y0;\n\t\tdst[ dstOffset + 2 ] = z0;\n\t\tdst[ dstOffset + 3 ] = w0;\n\n\t}\n\n\tstatic multiplyQuaternionsFlat( dst, dstOffset, src0, srcOffset0, src1, srcOffset1 ) {\n\n\t\tconst x0 = src0[ srcOffset0 ];\n\t\tconst y0 = src0[ srcOffset0 + 1 ];\n\t\tconst z0 = src0[ srcOffset0 + 2 ];\n\t\tconst w0 = src0[ srcOffset0 + 3 ];\n\n\t\tconst x1 = src1[ srcOffset1 ];\n\t\tconst y1 = src1[ srcOffset1 + 1 ];\n\t\tconst z1 = src1[ srcOffset1 + 2 ];\n\t\tconst w1 = src1[ srcOffset1 + 3 ];\n\n\t\tdst[ dstOffset ] = x0 * w1 + w0 * x1 + y0 * z1 - z0 * y1;\n\t\tdst[ dstOffset + 1 ] = y0 * w1 + w0 * y1 + z0 * x1 - x0 * z1;\n\t\tdst[ dstOffset + 2 ] = z0 * w1 + w0 * z1 + x0 * y1 - y0 * x1;\n\t\tdst[ dstOffset + 3 ] = w0 * w1 - x0 * x1 - y0 * y1 - z0 * z1;\n\n\t\treturn dst;\n\n\t}\n\n\tget x() {\n\n\t\treturn this._x;\n\n\t}\n\n\tset x( value ) {\n\n\t\tthis._x = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget y() {\n\n\t\treturn this._y;\n\n\t}\n\n\tset y( value ) {\n\n\t\tthis._y = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget z() {\n\n\t\treturn this._z;\n\n\t}\n\n\tset z( value ) {\n\n\t\tthis._z = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget w() {\n\n\t\treturn this._w;\n\n\t}\n\n\tset w( value ) {\n\n\t\tthis._w = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tset( x, y, z, w ) {\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._w = w;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this._x, this._y, this._z, this._w );\n\n\t}\n\n\tcopy( quaternion ) {\n\n\t\tthis._x = quaternion.x;\n\t\tthis._y = quaternion.y;\n\t\tthis._z = quaternion.z;\n\t\tthis._w = quaternion.w;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromEuler( euler, update = true ) {\n\n\t\tconst x = euler._x, y = euler._y, z = euler._z, order = euler._order;\n\n\t\t// http://www.mathworks.com/matlabcentral/fileexchange/\n\t\t// \t20696-function-to-convert-between-dcm-euler-angles-quaternions-and-euler-vectors/\n\t\t//\tcontent/SpinCalc.m\n\n\t\tconst cos = Math.cos;\n\t\tconst sin = Math.sin;\n\n\t\tconst c1 = cos( x / 2 );\n\t\tconst c2 = cos( y / 2 );\n\t\tconst c3 = cos( z / 2 );\n\n\t\tconst s1 = sin( x / 2 );\n\t\tconst s2 = sin( y / 2 );\n\t\tconst s3 = sin( z / 2 );\n\n\t\tswitch ( order ) {\n\n\t\t\tcase 'XYZ':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'YXZ':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZXY':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZYX':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'YZX':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'XZY':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tconsole.warn( 'THREE.Quaternion: .setFromEuler() encountered an unknown order: ' + order );\n\n\t\t}\n\n\t\tif ( update === true ) this._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromAxisAngle( axis, angle ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/angleToQuaternion/index.htm\n\n\t\t// assumes axis is normalized\n\n\t\tconst halfAngle = angle / 2, s = Math.sin( halfAngle );\n\n\t\tthis._x = axis.x * s;\n\t\tthis._y = axis.y * s;\n\t\tthis._z = axis.z * s;\n\t\tthis._w = Math.cos( halfAngle );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromRotationMatrix( m ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion/index.htm\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tconst te = m.elements,\n\n\t\t\tm11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ],\n\t\t\tm21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ],\n\t\t\tm31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ],\n\n\t\t\ttrace = m11 + m22 + m33;\n\n\t\tif ( trace > 0 ) {\n\n\t\t\tconst s = 0.5 / Math.sqrt( trace + 1.0 );\n\n\t\t\tthis._w = 0.25 / s;\n\t\t\tthis._x = ( m32 - m23 ) * s;\n\t\t\tthis._y = ( m13 - m31 ) * s;\n\t\t\tthis._z = ( m21 - m12 ) * s;\n\n\t\t} else if ( m11 > m22 && m11 > m33 ) {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m11 - m22 - m33 );\n\n\t\t\tthis._w = ( m32 - m23 ) / s;\n\t\t\tthis._x = 0.25 * s;\n\t\t\tthis._y = ( m12 + m21 ) / s;\n\t\t\tthis._z = ( m13 + m31 ) / s;\n\n\t\t} else if ( m22 > m33 ) {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m22 - m11 - m33 );\n\n\t\t\tthis._w = ( m13 - m31 ) / s;\n\t\t\tthis._x = ( m12 + m21 ) / s;\n\t\t\tthis._y = 0.25 * s;\n\t\t\tthis._z = ( m23 + m32 ) / s;\n\n\t\t} else {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m33 - m11 - m22 );\n\n\t\t\tthis._w = ( m21 - m12 ) / s;\n\t\t\tthis._x = ( m13 + m31 ) / s;\n\t\t\tthis._y = ( m23 + m32 ) / s;\n\t\t\tthis._z = 0.25 * s;\n\n\t\t}\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromUnitVectors( vFrom, vTo ) {\n\n\t\t// assumes direction vectors vFrom and vTo are normalized\n\n\t\tlet r = vFrom.dot( vTo ) + 1;\n\n\t\tif ( r < Number.EPSILON ) {\n\n\t\t\t// vFrom and vTo point in opposite directions\n\n\t\t\tr = 0;\n\n\t\t\tif ( Math.abs( vFrom.x ) > Math.abs( vFrom.z ) ) {\n\n\t\t\t\tthis._x = - vFrom.y;\n\t\t\t\tthis._y = vFrom.x;\n\t\t\t\tthis._z = 0;\n\t\t\t\tthis._w = r;\n\n\t\t\t} else {\n\n\t\t\t\tthis._x = 0;\n\t\t\t\tthis._y = - vFrom.z;\n\t\t\t\tthis._z = vFrom.y;\n\t\t\t\tthis._w = r;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// crossVectors( vFrom, vTo ); // inlined to avoid cyclic dependency on Vector3\n\n\t\t\tthis._x = vFrom.y * vTo.z - vFrom.z * vTo.y;\n\t\t\tthis._y = vFrom.z * vTo.x - vFrom.x * vTo.z;\n\t\t\tthis._z = vFrom.x * vTo.y - vFrom.y * vTo.x;\n\t\t\tthis._w = r;\n\n\t\t}\n\n\t\treturn this.normalize();\n\n\t}\n\n\tangleTo( q ) {\n\n\t\treturn 2 * Math.acos( Math.abs( clamp( this.dot( q ), - 1, 1 ) ) );\n\n\t}\n\n\trotateTowards( q, step ) {\n\n\t\tconst angle = this.angleTo( q );\n\n\t\tif ( angle === 0 ) return this;\n\n\t\tconst t = Math.min( 1, step / angle );\n\n\t\tthis.slerp( q, t );\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\treturn this.set( 0, 0, 0, 1 );\n\n\t}\n\n\tinvert() {\n\n\t\t// quaternion is assumed to have unit length\n\n\t\treturn this.conjugate();\n\n\t}\n\n\tconjugate() {\n\n\t\tthis._x *= - 1;\n\t\tthis._y *= - 1;\n\t\tthis._z *= - 1;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this._x * v._x + this._y * v._y + this._z * v._z + this._w * v._w;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w );\n\n\t}\n\n\tnormalize() {\n\n\t\tlet l = this.length();\n\n\t\tif ( l === 0 ) {\n\n\t\t\tthis._x = 0;\n\t\t\tthis._y = 0;\n\t\t\tthis._z = 0;\n\t\t\tthis._w = 1;\n\n\t\t} else {\n\n\t\t\tl = 1 / l;\n\n\t\t\tthis._x = this._x * l;\n\t\t\tthis._y = this._y * l;\n\t\t\tthis._z = this._z * l;\n\t\t\tthis._w = this._w * l;\n\n\t\t}\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( q ) {\n\n\t\treturn this.multiplyQuaternions( this, q );\n\n\t}\n\n\tpremultiply( q ) {\n\n\t\treturn this.multiplyQuaternions( q, this );\n\n\t}\n\n\tmultiplyQuaternions( a, b ) {\n\n\t\t// from http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions/code/index.htm\n\n\t\tconst qax = a._x, qay = a._y, qaz = a._z, qaw = a._w;\n\t\tconst qbx = b._x, qby = b._y, qbz = b._z, qbw = b._w;\n\n\t\tthis._x = qax * qbw + qaw * qbx + qay * qbz - qaz * qby;\n\t\tthis._y = qay * qbw + qaw * qby + qaz * qbx - qax * qbz;\n\t\tthis._z = qaz * qbw + qaw * qbz + qax * qby - qay * qbx;\n\t\tthis._w = qaw * qbw - qax * qbx - qay * qby - qaz * qbz;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tslerp( qb, t ) {\n\n\t\tif ( t === 0 ) return this;\n\t\tif ( t === 1 ) return this.copy( qb );\n\n\t\tconst x = this._x, y = this._y, z = this._z, w = this._w;\n\n\t\t// http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions/slerp/\n\n\t\tlet cosHalfTheta = w * qb._w + x * qb._x + y * qb._y + z * qb._z;\n\n\t\tif ( cosHalfTheta < 0 ) {\n\n\t\t\tthis._w = - qb._w;\n\t\t\tthis._x = - qb._x;\n\t\t\tthis._y = - qb._y;\n\t\t\tthis._z = - qb._z;\n\n\t\t\tcosHalfTheta = - cosHalfTheta;\n\n\t\t} else {\n\n\t\t\tthis.copy( qb );\n\n\t\t}\n\n\t\tif ( cosHalfTheta >= 1.0 ) {\n\n\t\t\tthis._w = w;\n\t\t\tthis._x = x;\n\t\t\tthis._y = y;\n\t\t\tthis._z = z;\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst sqrSinHalfTheta = 1.0 - cosHalfTheta * cosHalfTheta;\n\n\t\tif ( sqrSinHalfTheta <= Number.EPSILON ) {\n\n\t\t\tconst s = 1 - t;\n\t\t\tthis._w = s * w + t * this._w;\n\t\t\tthis._x = s * x + t * this._x;\n\t\t\tthis._y = s * y + t * this._y;\n\t\t\tthis._z = s * z + t * this._z;\n\n\t\t\tthis.normalize(); // normalize calls _onChangeCallback()\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst sinHalfTheta = Math.sqrt( sqrSinHalfTheta );\n\t\tconst halfTheta = Math.atan2( sinHalfTheta, cosHalfTheta );\n\t\tconst ratioA = Math.sin( ( 1 - t ) * halfTheta ) / sinHalfTheta,\n\t\t\tratioB = Math.sin( t * halfTheta ) / sinHalfTheta;\n\n\t\tthis._w = ( w * ratioA + this._w * ratioB );\n\t\tthis._x = ( x * ratioA + this._x * ratioB );\n\t\tthis._y = ( y * ratioA + this._y * ratioB );\n\t\tthis._z = ( z * ratioA + this._z * ratioB );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tslerpQuaternions( qa, qb, t ) {\n\n\t\treturn this.copy( qa ).slerp( qb, t );\n\n\t}\n\n\trandom() {\n\n\t\t// Derived from http://planning.cs.uiuc.edu/node198.html\n\t\t// Note, this source uses w, x, y, z ordering,\n\t\t// so we swap the order below.\n\n\t\tconst u1 = Math.random();\n\t\tconst sqrt1u1 = Math.sqrt( 1 - u1 );\n\t\tconst sqrtu1 = Math.sqrt( u1 );\n\n\t\tconst u2 = 2 * Math.PI * Math.random();\n\n\t\tconst u3 = 2 * Math.PI * Math.random();\n\n\t\treturn this.set(\n\t\t\tsqrt1u1 * Math.cos( u2 ),\n\t\t\tsqrtu1 * Math.sin( u3 ),\n\t\t\tsqrtu1 * Math.cos( u3 ),\n\t\t\tsqrt1u1 * Math.sin( u2 ),\n\t\t);\n\n\t}\n\n\tequals( quaternion ) {\n\n\t\treturn ( quaternion._x === this._x ) && ( quaternion._y === this._y ) && ( quaternion._z === this._z ) && ( quaternion._w === this._w );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis._x = array[ offset ];\n\t\tthis._y = array[ offset + 1 ];\n\t\tthis._z = array[ offset + 2 ];\n\t\tthis._w = array[ offset + 3 ];\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this._x;\n\t\tarray[ offset + 1 ] = this._y;\n\t\tarray[ offset + 2 ] = this._z;\n\t\tarray[ offset + 3 ] = this._w;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis._x = attribute.getX( index );\n\t\tthis._y = attribute.getY( index );\n\t\tthis._z = attribute.getZ( index );\n\t\tthis._w = attribute.getW( index );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.toArray();\n\n\t}\n\n\t_onChange( callback ) {\n\n\t\tthis._onChangeCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\t_onChangeCallback() {}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this._x;\n\t\tyield this._y;\n\t\tyield this._z;\n\t\tyield this._w;\n\n\t}\n\n}\n\nclass Vector3 {\n\n\tconstructor( x = 0, y = 0, z = 0 ) {\n\n\t\tVector3.prototype.isVector3 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\n\t}\n\n\tset( x, y, z ) {\n\n\t\tif ( z === undefined ) z = this.z; // sprite.scale.set(x,y)\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\t\tthis.z = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( z ) {\n\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tcase 2: this.z = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tcase 2: return this.z;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y, this.z );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\t\tthis.z = v.z;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\t\tthis.z += v.z;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\t\tthis.z += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\t\tthis.z = a.z + b.z;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\t\tthis.z += v.z * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\t\tthis.z -= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\t\tthis.z -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\t\tthis.z = a.z - b.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\t\tthis.z *= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\t\tthis.z *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyVectors( a, b ) {\n\n\t\tthis.x = a.x * b.x;\n\t\tthis.y = a.y * b.y;\n\t\tthis.z = a.z * b.z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyEuler( euler ) {\n\n\t\treturn this.applyQuaternion( _quaternion$4.setFromEuler( euler ) );\n\n\t}\n\n\tapplyAxisAngle( axis, angle ) {\n\n\t\treturn this.applyQuaternion( _quaternion$4.setFromAxisAngle( axis, angle ) );\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 3 ] * y + e[ 6 ] * z;\n\t\tthis.y = e[ 1 ] * x + e[ 4 ] * y + e[ 7 ] * z;\n\t\tthis.z = e[ 2 ] * x + e[ 5 ] * y + e[ 8 ] * z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\treturn this.applyMatrix3( m ).normalize();\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tconst w = 1 / ( e[ 3 ] * x + e[ 7 ] * y + e[ 11 ] * z + e[ 15 ] );\n\n\t\tthis.x = ( e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z + e[ 12 ] ) * w;\n\t\tthis.y = ( e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z + e[ 13 ] ) * w;\n\t\tthis.z = ( e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z + e[ 14 ] ) * w;\n\n\t\treturn this;\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\t// quaternion q is assumed to have unit length\n\n\t\tconst vx = this.x, vy = this.y, vz = this.z;\n\t\tconst qx = q.x, qy = q.y, qz = q.z, qw = q.w;\n\n\t\t// t = 2 * cross( q.xyz, v );\n\t\tconst tx = 2 * ( qy * vz - qz * vy );\n\t\tconst ty = 2 * ( qz * vx - qx * vz );\n\t\tconst tz = 2 * ( qx * vy - qy * vx );\n\n\t\t// v + q.w * t + cross( q.xyz, t );\n\t\tthis.x = vx + qw * tx + qy * tz - qz * ty;\n\t\tthis.y = vy + qw * ty + qz * tx - qx * tz;\n\t\tthis.z = vz + qw * tz + qx * ty - qy * tx;\n\n\t\treturn this;\n\n\t}\n\n\tproject( camera ) {\n\n\t\treturn this.applyMatrix4( camera.matrixWorldInverse ).applyMatrix4( camera.projectionMatrix );\n\n\t}\n\n\tunproject( camera ) {\n\n\t\treturn this.applyMatrix4( camera.projectionMatrixInverse ).applyMatrix4( camera.matrixWorld );\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\t// input: THREE.Matrix4 affine matrix\n\t\t// vector interpreted as a direction\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z;\n\t\tthis.y = e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z;\n\t\tthis.z = e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z;\n\n\t\treturn this.normalize();\n\n\t}\n\n\tdivide( v ) {\n\n\t\tthis.x /= v.x;\n\t\tthis.y /= v.y;\n\t\tthis.z /= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\t\tthis.z = Math.min( this.z, v.z );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\t\tthis.z = Math.max( this.z, v.z );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\t\tthis.z = Math.max( min.z, Math.min( max.z, this.z ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\t\tthis.z = Math.max( minVal, Math.min( maxVal, this.z ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\t\tthis.z = Math.floor( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\t\tthis.z = Math.ceil( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\t\tthis.z = Math.round( this.z );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\t\tthis.z = Math.trunc( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\t\tthis.z = - this.z;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y + this.z * v.z;\n\n\t}\n\n\t// TODO lengthSquared?\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y + this.z * this.z;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y + this.z * this.z );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y ) + Math.abs( this.z );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\t\tthis.z += ( v.z - this.z ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\t\tthis.z = v1.z + ( v2.z - v1.z ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tcross( v ) {\n\n\t\treturn this.crossVectors( this, v );\n\n\t}\n\n\tcrossVectors( a, b ) {\n\n\t\tconst ax = a.x, ay = a.y, az = a.z;\n\t\tconst bx = b.x, by = b.y, bz = b.z;\n\n\t\tthis.x = ay * bz - az * by;\n\t\tthis.y = az * bx - ax * bz;\n\t\tthis.z = ax * by - ay * bx;\n\n\t\treturn this;\n\n\t}\n\n\tprojectOnVector( v ) {\n\n\t\tconst denominator = v.lengthSq();\n\n\t\tif ( denominator === 0 ) return this.set( 0, 0, 0 );\n\n\t\tconst scalar = v.dot( this ) / denominator;\n\n\t\treturn this.copy( v ).multiplyScalar( scalar );\n\n\t}\n\n\tprojectOnPlane( planeNormal ) {\n\n\t\t_vector$c.copy( this ).projectOnVector( planeNormal );\n\n\t\treturn this.sub( _vector$c );\n\n\t}\n\n\treflect( normal ) {\n\n\t\t// reflect incident vector off plane orthogonal to normal\n\t\t// normal is assumed to have unit length\n\n\t\treturn this.sub( _vector$c.copy( normal ).multiplyScalar( 2 * this.dot( normal ) ) );\n\n\t}\n\n\tangleTo( v ) {\n\n\t\tconst denominator = Math.sqrt( this.lengthSq() * v.lengthSq() );\n\n\t\tif ( denominator === 0 ) return Math.PI / 2;\n\n\t\tconst theta = this.dot( v ) / denominator;\n\n\t\t// clamp, to handle numerical problems\n\n\t\treturn Math.acos( clamp( theta, - 1, 1 ) );\n\n\t}\n\n\tdistanceTo( v ) {\n\n\t\treturn Math.sqrt( this.distanceToSquared( v ) );\n\n\t}\n\n\tdistanceToSquared( v ) {\n\n\t\tconst dx = this.x - v.x, dy = this.y - v.y, dz = this.z - v.z;\n\n\t\treturn dx * dx + dy * dy + dz * dz;\n\n\t}\n\n\tmanhattanDistanceTo( v ) {\n\n\t\treturn Math.abs( this.x - v.x ) + Math.abs( this.y - v.y ) + Math.abs( this.z - v.z );\n\n\t}\n\n\tsetFromSpherical( s ) {\n\n\t\treturn this.setFromSphericalCoords( s.radius, s.phi, s.theta );\n\n\t}\n\n\tsetFromSphericalCoords( radius, phi, theta ) {\n\n\t\tconst sinPhiRadius = Math.sin( phi ) * radius;\n\n\t\tthis.x = sinPhiRadius * Math.sin( theta );\n\t\tthis.y = Math.cos( phi ) * radius;\n\t\tthis.z = sinPhiRadius * Math.cos( theta );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCylindrical( c ) {\n\n\t\treturn this.setFromCylindricalCoords( c.radius, c.theta, c.y );\n\n\t}\n\n\tsetFromCylindricalCoords( radius, theta, y ) {\n\n\t\tthis.x = radius * Math.sin( theta );\n\t\tthis.y = y;\n\t\tthis.z = radius * Math.cos( theta );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixPosition( m ) {\n\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 12 ];\n\t\tthis.y = e[ 13 ];\n\t\tthis.z = e[ 14 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixScale( m ) {\n\n\t\tconst sx = this.setFromMatrixColumn( m, 0 ).length();\n\t\tconst sy = this.setFromMatrixColumn( m, 1 ).length();\n\t\tconst sz = this.setFromMatrixColumn( m, 2 ).length();\n\n\t\tthis.x = sx;\n\t\tthis.y = sy;\n\t\tthis.z = sz;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixColumn( m, index ) {\n\n\t\treturn this.fromArray( m.elements, index * 4 );\n\n\t}\n\n\tsetFromMatrix3Column( m, index ) {\n\n\t\treturn this.fromArray( m.elements, index * 3 );\n\n\t}\n\n\tsetFromEuler( e ) {\n\n\t\tthis.x = e._x;\n\t\tthis.y = e._y;\n\t\tthis.z = e._z;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromColor( c ) {\n\n\t\tthis.x = c.r;\n\t\tthis.y = c.g;\n\t\tthis.z = c.b;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) && ( v.z === this.z ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\t\tthis.z = array[ offset + 2 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\t\tarray[ offset + 2 ] = this.z;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\t\tthis.z = attribute.getZ( index );\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\t\tthis.z = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\trandomDirection() {\n\n\t\t// Derived from https://mathworld.wolfram.com/SpherePointPicking.html\n\n\t\tconst u = ( Math.random() - 0.5 ) * 2;\n\t\tconst t = Math.random() * Math.PI * 2;\n\t\tconst f = Math.sqrt( 1 - u ** 2 );\n\n\t\tthis.x = f * Math.cos( t );\n\t\tthis.y = f * Math.sin( t );\n\t\tthis.z = u;\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\t\tyield this.z;\n\n\t}\n\n}\n\nconst _vector$c = /*@__PURE__*/ new Vector3();\nconst _quaternion$4 = /*@__PURE__*/ new Quaternion();\n\nclass Box3 {\n\n\tconstructor( min = new Vector3( + Infinity, + Infinity, + Infinity ), max = new Vector3( - Infinity, - Infinity, - Infinity ) ) {\n\n\t\tthis.isBox3 = true;\n\n\t\tthis.min = min;\n\t\tthis.max = max;\n\n\t}\n\n\tset( min, max ) {\n\n\t\tthis.min.copy( min );\n\t\tthis.max.copy( max );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromArray( array ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = array.length; i < il; i += 3 ) {\n\n\t\t\tthis.expandByPoint( _vector$b.fromArray( array, i ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromBufferAttribute( attribute ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = attribute.count; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( _vector$b.fromBufferAttribute( attribute, i ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( points[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCenterAndSize( center, size ) {\n\n\t\tconst halfSize = _vector$b.copy( size ).multiplyScalar( 0.5 );\n\n\t\tthis.min.copy( center ).sub( halfSize );\n\t\tthis.max.copy( center ).add( halfSize );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromObject( object, precise = false ) {\n\n\t\tthis.makeEmpty();\n\n\t\treturn this.expandByObject( object, precise );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( box ) {\n\n\t\tthis.min.copy( box.min );\n\t\tthis.max.copy( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.min.x = this.min.y = this.min.z = + Infinity;\n\t\tthis.max.x = this.max.y = this.max.z = - Infinity;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\t// this is a more robust check for empty than ( volume <= 0 ) because volume can get positive with two negative axes\n\n\t\treturn ( this.max.x < this.min.x ) || ( this.max.y < this.min.y ) || ( this.max.z < this.min.z );\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0, 0 ) : target.addVectors( this.min, this.max ).multiplyScalar( 0.5 );\n\n\t}\n\n\tgetSize( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0, 0 ) : target.subVectors( this.max, this.min );\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tthis.min.min( point );\n\t\tthis.max.max( point );\n\n\t\treturn this;\n\n\t}\n\n\texpandByVector( vector ) {\n\n\t\tthis.min.sub( vector );\n\t\tthis.max.add( vector );\n\n\t\treturn this;\n\n\t}\n\n\texpandByScalar( scalar ) {\n\n\t\tthis.min.addScalar( - scalar );\n\t\tthis.max.addScalar( scalar );\n\n\t\treturn this;\n\n\t}\n\n\texpandByObject( object, precise = false ) {\n\n\t\t// Computes the world-axis-aligned bounding box of an object (including its children),\n\t\t// accounting for both the object's, and children's, world transforms\n\n\t\tobject.updateWorldMatrix( false, false );\n\n\t\tconst geometry = object.geometry;\n\n\t\tif ( geometry !== undefined ) {\n\n\t\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\t\t// precise AABB computation based on vertex data requires at least a position attribute.\n\t\t\t// instancing isn't supported so far and uses the normal (conservative) code path.\n\n\t\t\tif ( precise === true && positionAttribute !== undefined && object.isInstancedMesh !== true ) {\n\n\t\t\t\tfor ( let i = 0, l = positionAttribute.count; i < l; i ++ ) {\n\n\t\t\t\t\tif ( object.isMesh === true ) {\n\n\t\t\t\t\t\tobject.getVertexPosition( i, _vector$b );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t_vector$b.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_vector$b.applyMatrix4( object.matrixWorld );\n\t\t\t\t\tthis.expandByPoint( _vector$b );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( object.boundingBox !== undefined ) {\n\n\t\t\t\t\t// object-level bounding box\n\n\t\t\t\t\tif ( object.boundingBox === null ) {\n\n\t\t\t\t\t\tobject.computeBoundingBox();\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_box$4.copy( object.boundingBox );\n\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// geometry-level bounding box\n\n\t\t\t\t\tif ( geometry.boundingBox === null ) {\n\n\t\t\t\t\t\tgeometry.computeBoundingBox();\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_box$4.copy( geometry.boundingBox );\n\n\t\t\t\t}\n\n\t\t\t\t_box$4.applyMatrix4( object.matrixWorld );\n\n\t\t\t\tthis.union( _box$4 );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tthis.expandByObject( children[ i ], precise );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn point.x < this.min.x || point.x > this.max.x ||\n\t\t\tpoint.y < this.min.y || point.y > this.max.y ||\n\t\t\tpoint.z < this.min.z || point.z > this.max.z ? false : true;\n\n\t}\n\n\tcontainsBox( box ) {\n\n\t\treturn this.min.x <= box.min.x && box.max.x <= this.max.x &&\n\t\t\tthis.min.y <= box.min.y && box.max.y <= this.max.y &&\n\t\t\tthis.min.z <= box.min.z && box.max.z <= this.max.z;\n\n\t}\n\n\tgetParameter( point, target ) {\n\n\t\t// This can potentially have a divide by zero if the box\n\t\t// has a size dimension of 0.\n\n\t\treturn target.set(\n\t\t\t( point.x - this.min.x ) / ( this.max.x - this.min.x ),\n\t\t\t( point.y - this.min.y ) / ( this.max.y - this.min.y ),\n\t\t\t( point.z - this.min.z ) / ( this.max.z - this.min.z )\n\t\t);\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\t// using 6 splitting planes to rule out intersections.\n\t\treturn box.max.x < this.min.x || box.min.x > this.max.x ||\n\t\t\tbox.max.y < this.min.y || box.min.y > this.max.y ||\n\t\t\tbox.max.z < this.min.z || box.min.z > this.max.z ? false : true;\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\t// Find the point on the AABB closest to the sphere center.\n\t\tthis.clampPoint( sphere.center, _vector$b );\n\n\t\t// If that point is inside the sphere, the AABB and sphere intersect.\n\t\treturn _vector$b.distanceToSquared( sphere.center ) <= ( sphere.radius * sphere.radius );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\t// We compute the minimum and maximum dot product values. If those values\n\t\t// are on the same side (back or front) of the plane, then there is no intersection.\n\n\t\tlet min, max;\n\n\t\tif ( plane.normal.x > 0 ) {\n\n\t\t\tmin = plane.normal.x * this.min.x;\n\t\t\tmax = plane.normal.x * this.max.x;\n\n\t\t} else {\n\n\t\t\tmin = plane.normal.x * this.max.x;\n\t\t\tmax = plane.normal.x * this.min.x;\n\n\t\t}\n\n\t\tif ( plane.normal.y > 0 ) {\n\n\t\t\tmin += plane.normal.y * this.min.y;\n\t\t\tmax += plane.normal.y * this.max.y;\n\n\t\t} else {\n\n\t\t\tmin += plane.normal.y * this.max.y;\n\t\t\tmax += plane.normal.y * this.min.y;\n\n\t\t}\n\n\t\tif ( plane.normal.z > 0 ) {\n\n\t\t\tmin += plane.normal.z * this.min.z;\n\t\t\tmax += plane.normal.z * this.max.z;\n\n\t\t} else {\n\n\t\t\tmin += plane.normal.z * this.max.z;\n\t\t\tmax += plane.normal.z * this.min.z;\n\n\t\t}\n\n\t\treturn ( min <= - plane.constant && max >= - plane.constant );\n\n\t}\n\n\tintersectsTriangle( triangle ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// compute box center and extents\n\t\tthis.getCenter( _center );\n\t\t_extents.subVectors( this.max, _center );\n\n\t\t// translate triangle to aabb origin\n\t\t_v0$2.subVectors( triangle.a, _center );\n\t\t_v1$7.subVectors( triangle.b, _center );\n\t\t_v2$4.subVectors( triangle.c, _center );\n\n\t\t// compute edge vectors for triangle\n\t\t_f0.subVectors( _v1$7, _v0$2 );\n\t\t_f1.subVectors( _v2$4, _v1$7 );\n\t\t_f2.subVectors( _v0$2, _v2$4 );\n\n\t\t// test against axes that are given by cross product combinations of the edges of the triangle and the edges of the aabb\n\t\t// make an axis testing of each of the 3 sides of the aabb against each of the 3 sides of the triangle = 9 axis of separation\n\t\t// axis_ij = u_i x f_j (u0, u1, u2 = face normals of aabb = x,y,z axes vectors since aabb is axis aligned)\n\t\tlet axes = [\n\t\t\t0, - _f0.z, _f0.y, 0, - _f1.z, _f1.y, 0, - _f2.z, _f2.y,\n\t\t\t_f0.z, 0, - _f0.x, _f1.z, 0, - _f1.x, _f2.z, 0, - _f2.x,\n\t\t\t- _f0.y, _f0.x, 0, - _f1.y, _f1.x, 0, - _f2.y, _f2.x, 0\n\t\t];\n\t\tif ( ! satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents ) ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// test 3 face normals from the aabb\n\t\taxes = [ 1, 0, 0, 0, 1, 0, 0, 0, 1 ];\n\t\tif ( ! satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents ) ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// finally testing the face normal of the triangle\n\t\t// use already existing triangle edge vectors here\n\t\t_triangleNormal.crossVectors( _f0, _f1 );\n\t\taxes = [ _triangleNormal.x, _triangleNormal.y, _triangleNormal.z ];\n\n\t\treturn satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents );\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\treturn target.copy( point ).clamp( this.min, this.max );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.clampPoint( point, _vector$b ).distanceTo( point );\n\n\t}\n\n\tgetBoundingSphere( target ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\ttarget.makeEmpty();\n\n\t\t} else {\n\n\t\t\tthis.getCenter( target.center );\n\n\t\t\ttarget.radius = this.getSize( _vector$b ).length() * 0.5;\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\tintersect( box ) {\n\n\t\tthis.min.max( box.min );\n\t\tthis.max.min( box.max );\n\n\t\t// ensure that if there is no overlap, the result is fully empty, not slightly empty with non-inf/+inf values that will cause subsequence intersects to erroneously return valid values.\n\t\tif ( this.isEmpty() ) this.makeEmpty();\n\n\t\treturn this;\n\n\t}\n\n\tunion( box ) {\n\n\t\tthis.min.min( box.min );\n\t\tthis.max.max( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\t// transform of empty box is an empty box.\n\t\tif ( this.isEmpty() ) return this;\n\n\t\t// NOTE: I am using a binary pattern to specify all 2^3 combinations below\n\t\t_points[ 0 ].set( this.min.x, this.min.y, this.min.z ).applyMatrix4( matrix ); // 000\n\t\t_points[ 1 ].set( this.min.x, this.min.y, this.max.z ).applyMatrix4( matrix ); // 001\n\t\t_points[ 2 ].set( this.min.x, this.max.y, this.min.z ).applyMatrix4( matrix ); // 010\n\t\t_points[ 3 ].set( this.min.x, this.max.y, this.max.z ).applyMatrix4( matrix ); // 011\n\t\t_points[ 4 ].set( this.max.x, this.min.y, this.min.z ).applyMatrix4( matrix ); // 100\n\t\t_points[ 5 ].set( this.max.x, this.min.y, this.max.z ).applyMatrix4( matrix ); // 101\n\t\t_points[ 6 ].set( this.max.x, this.max.y, this.min.z ).applyMatrix4( matrix ); // 110\n\t\t_points[ 7 ].set( this.max.x, this.max.y, this.max.z ).applyMatrix4( matrix ); // 111\n\n\t\tthis.setFromPoints( _points );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.min.add( offset );\n\t\tthis.max.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\tequals( box ) {\n\n\t\treturn box.min.equals( this.min ) && box.max.equals( this.max );\n\n\t}\n\n}\n\nconst _points = [\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3()\n];\n\nconst _vector$b = /*@__PURE__*/ new Vector3();\n\nconst _box$4 = /*@__PURE__*/ new Box3();\n\n// triangle centered vertices\n\nconst _v0$2 = /*@__PURE__*/ new Vector3();\nconst _v1$7 = /*@__PURE__*/ new Vector3();\nconst _v2$4 = /*@__PURE__*/ new Vector3();\n\n// triangle edge vectors\n\nconst _f0 = /*@__PURE__*/ new Vector3();\nconst _f1 = /*@__PURE__*/ new Vector3();\nconst _f2 = /*@__PURE__*/ new Vector3();\n\nconst _center = /*@__PURE__*/ new Vector3();\nconst _extents = /*@__PURE__*/ new Vector3();\nconst _triangleNormal = /*@__PURE__*/ new Vector3();\nconst _testAxis = /*@__PURE__*/ new Vector3();\n\nfunction satForAxes( axes, v0, v1, v2, extents ) {\n\n\tfor ( let i = 0, j = axes.length - 3; i <= j; i += 3 ) {\n\n\t\t_testAxis.fromArray( axes, i );\n\t\t// project the aabb onto the separating axis\n\t\tconst r = extents.x * Math.abs( _testAxis.x ) + extents.y * Math.abs( _testAxis.y ) + extents.z * Math.abs( _testAxis.z );\n\t\t// project all 3 vertices of the triangle onto the separating axis\n\t\tconst p0 = v0.dot( _testAxis );\n\t\tconst p1 = v1.dot( _testAxis );\n\t\tconst p2 = v2.dot( _testAxis );\n\t\t// actual test, basically see if either of the most extreme of the triangle points intersects r\n\t\tif ( Math.max( - Math.max( p0, p1, p2 ), Math.min( p0, p1, p2 ) ) > r ) {\n\n\t\t\t// points of the projected triangle are outside the projected half-length of the aabb\n\t\t\t// the axis is separating and we can exit\n\t\t\treturn false;\n\n\t\t}\n\n\t}\n\n\treturn true;\n\n}\n\nconst _box$3 = /*@__PURE__*/ new Box3();\nconst _v1$6 = /*@__PURE__*/ new Vector3();\nconst _v2$3 = /*@__PURE__*/ new Vector3();\n\nclass Sphere {\n\n\tconstructor( center = new Vector3(), radius = - 1 ) {\n\n\t\tthis.isSphere = true;\n\n\t\tthis.center = center;\n\t\tthis.radius = radius;\n\n\t}\n\n\tset( center, radius ) {\n\n\t\tthis.center.copy( center );\n\t\tthis.radius = radius;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points, optionalCenter ) {\n\n\t\tconst center = this.center;\n\n\t\tif ( optionalCenter !== undefined ) {\n\n\t\t\tcenter.copy( optionalCenter );\n\n\t\t} else {\n\n\t\t\t_box$3.setFromPoints( points ).getCenter( center );\n\n\t\t}\n\n\t\tlet maxRadiusSq = 0;\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( points[ i ] ) );\n\n\t\t}\n\n\t\tthis.radius = Math.sqrt( maxRadiusSq );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( sphere ) {\n\n\t\tthis.center.copy( sphere.center );\n\t\tthis.radius = sphere.radius;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\treturn ( this.radius < 0 );\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.center.set( 0, 0, 0 );\n\t\tthis.radius = - 1;\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn ( point.distanceToSquared( this.center ) <= ( this.radius * this.radius ) );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn ( point.distanceTo( this.center ) - this.radius );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\tconst radiusSum = this.radius + sphere.radius;\n\n\t\treturn sphere.center.distanceToSquared( this.center ) <= ( radiusSum * radiusSum );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsSphere( this );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\treturn Math.abs( plane.distanceToPoint( this.center ) ) <= this.radius;\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\tconst deltaLengthSq = this.center.distanceToSquared( point );\n\n\t\ttarget.copy( point );\n\n\t\tif ( deltaLengthSq > ( this.radius * this.radius ) ) {\n\n\t\t\ttarget.sub( this.center ).normalize();\n\t\t\ttarget.multiplyScalar( this.radius ).add( this.center );\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\tgetBoundingBox( target ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\t// Empty sphere produces empty bounding box\n\t\t\ttarget.makeEmpty();\n\t\t\treturn target;\n\n\t\t}\n\n\t\ttarget.set( this.center, this.center );\n\t\ttarget.expandByScalar( this.radius );\n\n\t\treturn target;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tthis.center.applyMatrix4( matrix );\n\t\tthis.radius = this.radius * matrix.getMaxScaleOnAxis();\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.center.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\tthis.center.copy( point );\n\n\t\t\tthis.radius = 0;\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t_v1$6.subVectors( point, this.center );\n\n\t\tconst lengthSq = _v1$6.lengthSq();\n\n\t\tif ( lengthSq > ( this.radius * this.radius ) ) {\n\n\t\t\t// calculate the minimal sphere\n\n\t\t\tconst length = Math.sqrt( lengthSq );\n\n\t\t\tconst delta = ( length - this.radius ) * 0.5;\n\n\t\t\tthis.center.addScaledVector( _v1$6, delta / length );\n\n\t\t\tthis.radius += delta;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tunion( sphere ) {\n\n\t\tif ( sphere.isEmpty() ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\tthis.copy( sphere );\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( this.center.equals( sphere.center ) === true ) {\n\n\t\t\t this.radius = Math.max( this.radius, sphere.radius );\n\n\t\t} else {\n\n\t\t\t_v2$3.subVectors( sphere.center, this.center ).setLength( sphere.radius );\n\n\t\t\tthis.expandByPoint( _v1$6.copy( sphere.center ).add( _v2$3 ) );\n\n\t\t\tthis.expandByPoint( _v1$6.copy( sphere.center ).sub( _v2$3 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tequals( sphere ) {\n\n\t\treturn sphere.center.equals( this.center ) && ( sphere.radius === this.radius );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$a = /*@__PURE__*/ new Vector3();\nconst _segCenter = /*@__PURE__*/ new Vector3();\nconst _segDir = /*@__PURE__*/ new Vector3();\nconst _diff = /*@__PURE__*/ new Vector3();\n\nconst _edge1 = /*@__PURE__*/ new Vector3();\nconst _edge2 = /*@__PURE__*/ new Vector3();\nconst _normal$1 = /*@__PURE__*/ new Vector3();\n\nclass Ray {\n\n\tconstructor( origin = new Vector3(), direction = new Vector3( 0, 0, - 1 ) ) {\n\n\t\tthis.origin = origin;\n\t\tthis.direction = direction;\n\n\t}\n\n\tset( origin, direction ) {\n\n\t\tthis.origin.copy( origin );\n\t\tthis.direction.copy( direction );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( ray ) {\n\n\t\tthis.origin.copy( ray.origin );\n\t\tthis.direction.copy( ray.direction );\n\n\t\treturn this;\n\n\t}\n\n\tat( t, target ) {\n\n\t\treturn target.copy( this.origin ).addScaledVector( this.direction, t );\n\n\t}\n\n\tlookAt( v ) {\n\n\t\tthis.direction.copy( v ).sub( this.origin ).normalize();\n\n\t\treturn this;\n\n\t}\n\n\trecast( t ) {\n\n\t\tthis.origin.copy( this.at( t, _vector$a ) );\n\n\t\treturn this;\n\n\t}\n\n\tclosestPointToPoint( point, target ) {\n\n\t\ttarget.subVectors( point, this.origin );\n\n\t\tconst directionDistance = target.dot( this.direction );\n\n\t\tif ( directionDistance < 0 ) {\n\n\t\t\treturn target.copy( this.origin );\n\n\t\t}\n\n\t\treturn target.copy( this.origin ).addScaledVector( this.direction, directionDistance );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn Math.sqrt( this.distanceSqToPoint( point ) );\n\n\t}\n\n\tdistanceSqToPoint( point ) {\n\n\t\tconst directionDistance = _vector$a.subVectors( point, this.origin ).dot( this.direction );\n\n\t\t// point behind the ray\n\n\t\tif ( directionDistance < 0 ) {\n\n\t\t\treturn this.origin.distanceToSquared( point );\n\n\t\t}\n\n\t\t_vector$a.copy( this.origin ).addScaledVector( this.direction, directionDistance );\n\n\t\treturn _vector$a.distanceToSquared( point );\n\n\t}\n\n\tdistanceSqToSegment( v0, v1, optionalPointOnRay, optionalPointOnSegment ) {\n\n\t\t// from https://github.com/pmjoniak/GeometricTools/blob/master/GTEngine/Include/Mathematics/GteDistRaySegment.h\n\t\t// It returns the min distance between the ray and the segment\n\t\t// defined by v0 and v1\n\t\t// It can also set two optional targets :\n\t\t// - The closest point on the ray\n\t\t// - The closest point on the segment\n\n\t\t_segCenter.copy( v0 ).add( v1 ).multiplyScalar( 0.5 );\n\t\t_segDir.copy( v1 ).sub( v0 ).normalize();\n\t\t_diff.copy( this.origin ).sub( _segCenter );\n\n\t\tconst segExtent = v0.distanceTo( v1 ) * 0.5;\n\t\tconst a01 = - this.direction.dot( _segDir );\n\t\tconst b0 = _diff.dot( this.direction );\n\t\tconst b1 = - _diff.dot( _segDir );\n\t\tconst c = _diff.lengthSq();\n\t\tconst det = Math.abs( 1 - a01 * a01 );\n\t\tlet s0, s1, sqrDist, extDet;\n\n\t\tif ( det > 0 ) {\n\n\t\t\t// The ray and segment are not parallel.\n\n\t\t\ts0 = a01 * b1 - b0;\n\t\t\ts1 = a01 * b0 - b1;\n\t\t\textDet = segExtent * det;\n\n\t\t\tif ( s0 >= 0 ) {\n\n\t\t\t\tif ( s1 >= - extDet ) {\n\n\t\t\t\t\tif ( s1 <= extDet ) {\n\n\t\t\t\t\t\t// region 0\n\t\t\t\t\t\t// Minimum at interior points of ray and segment.\n\n\t\t\t\t\t\tconst invDet = 1 / det;\n\t\t\t\t\t\ts0 *= invDet;\n\t\t\t\t\t\ts1 *= invDet;\n\t\t\t\t\t\tsqrDist = s0 * ( s0 + a01 * s1 + 2 * b0 ) + s1 * ( a01 * s0 + s1 + 2 * b1 ) + c;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// region 1\n\n\t\t\t\t\t\ts1 = segExtent;\n\t\t\t\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// region 5\n\n\t\t\t\t\ts1 = - segExtent;\n\t\t\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( s1 <= - extDet ) {\n\n\t\t\t\t\t// region 4\n\n\t\t\t\t\ts0 = Math.max( 0, - ( - a01 * segExtent + b0 ) );\n\t\t\t\t\ts1 = ( s0 > 0 ) ? - segExtent : Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t} else if ( s1 <= extDet ) {\n\n\t\t\t\t\t// region 3\n\n\t\t\t\t\ts0 = 0;\n\t\t\t\t\ts1 = Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// region 2\n\n\t\t\t\t\ts0 = Math.max( 0, - ( a01 * segExtent + b0 ) );\n\t\t\t\t\ts1 = ( s0 > 0 ) ? segExtent : Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// Ray and segment are parallel.\n\n\t\t\ts1 = ( a01 > 0 ) ? - segExtent : segExtent;\n\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t}\n\n\t\tif ( optionalPointOnRay ) {\n\n\t\t\toptionalPointOnRay.copy( this.origin ).addScaledVector( this.direction, s0 );\n\n\t\t}\n\n\t\tif ( optionalPointOnSegment ) {\n\n\t\t\toptionalPointOnSegment.copy( _segCenter ).addScaledVector( _segDir, s1 );\n\n\t\t}\n\n\t\treturn sqrDist;\n\n\t}\n\n\tintersectSphere( sphere, target ) {\n\n\t\t_vector$a.subVectors( sphere.center, this.origin );\n\t\tconst tca = _vector$a.dot( this.direction );\n\t\tconst d2 = _vector$a.dot( _vector$a ) - tca * tca;\n\t\tconst radius2 = sphere.radius * sphere.radius;\n\n\t\tif ( d2 > radius2 ) return null;\n\n\t\tconst thc = Math.sqrt( radius2 - d2 );\n\n\t\t// t0 = first intersect point - entrance on front of sphere\n\t\tconst t0 = tca - thc;\n\n\t\t// t1 = second intersect point - exit point on back of sphere\n\t\tconst t1 = tca + thc;\n\n\t\t// test to see if t1 is behind the ray - if so, return null\n\t\tif ( t1 < 0 ) return null;\n\n\t\t// test to see if t0 is behind the ray:\n\t\t// if it is, the ray is inside the sphere, so return the second exit point scaled by t1,\n\t\t// in order to always return an intersect point that is in front of the ray.\n\t\tif ( t0 < 0 ) return this.at( t1, target );\n\n\t\t// else t0 is in front of the ray, so return the first collision point scaled by t0\n\t\treturn this.at( t0, target );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\treturn this.distanceSqToPoint( sphere.center ) <= ( sphere.radius * sphere.radius );\n\n\t}\n\n\tdistanceToPlane( plane ) {\n\n\t\tconst denominator = plane.normal.dot( this.direction );\n\n\t\tif ( denominator === 0 ) {\n\n\t\t\t// line is coplanar, return origin\n\t\t\tif ( plane.distanceToPoint( this.origin ) === 0 ) {\n\n\t\t\t\treturn 0;\n\n\t\t\t}\n\n\t\t\t// Null is preferable to undefined since undefined means.... it is undefined\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst t = - ( this.origin.dot( plane.normal ) + plane.constant ) / denominator;\n\n\t\t// Return if the ray never intersects the plane\n\n\t\treturn t >= 0 ? t : null;\n\n\t}\n\n\tintersectPlane( plane, target ) {\n\n\t\tconst t = this.distanceToPlane( plane );\n\n\t\tif ( t === null ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn this.at( t, target );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\t// check if the ray lies on the plane first\n\n\t\tconst distToPoint = plane.distanceToPoint( this.origin );\n\n\t\tif ( distToPoint === 0 ) {\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\tconst denominator = plane.normal.dot( this.direction );\n\n\t\tif ( denominator * distToPoint < 0 ) {\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\t// ray origin is behind the plane (and is pointing behind it)\n\n\t\treturn false;\n\n\t}\n\n\tintersectBox( box, target ) {\n\n\t\tlet tmin, tmax, tymin, tymax, tzmin, tzmax;\n\n\t\tconst invdirx = 1 / this.direction.x,\n\t\t\tinvdiry = 1 / this.direction.y,\n\t\t\tinvdirz = 1 / this.direction.z;\n\n\t\tconst origin = this.origin;\n\n\t\tif ( invdirx >= 0 ) {\n\n\t\t\ttmin = ( box.min.x - origin.x ) * invdirx;\n\t\t\ttmax = ( box.max.x - origin.x ) * invdirx;\n\n\t\t} else {\n\n\t\t\ttmin = ( box.max.x - origin.x ) * invdirx;\n\t\t\ttmax = ( box.min.x - origin.x ) * invdirx;\n\n\t\t}\n\n\t\tif ( invdiry >= 0 ) {\n\n\t\t\ttymin = ( box.min.y - origin.y ) * invdiry;\n\t\t\ttymax = ( box.max.y - origin.y ) * invdiry;\n\n\t\t} else {\n\n\t\t\ttymin = ( box.max.y - origin.y ) * invdiry;\n\t\t\ttymax = ( box.min.y - origin.y ) * invdiry;\n\n\t\t}\n\n\t\tif ( ( tmin > tymax ) || ( tymin > tmax ) ) return null;\n\n\t\tif ( tymin > tmin || isNaN( tmin ) ) tmin = tymin;\n\n\t\tif ( tymax < tmax || isNaN( tmax ) ) tmax = tymax;\n\n\t\tif ( invdirz >= 0 ) {\n\n\t\t\ttzmin = ( box.min.z - origin.z ) * invdirz;\n\t\t\ttzmax = ( box.max.z - origin.z ) * invdirz;\n\n\t\t} else {\n\n\t\t\ttzmin = ( box.max.z - origin.z ) * invdirz;\n\t\t\ttzmax = ( box.min.z - origin.z ) * invdirz;\n\n\t\t}\n\n\t\tif ( ( tmin > tzmax ) || ( tzmin > tmax ) ) return null;\n\n\t\tif ( tzmin > tmin || tmin !== tmin ) tmin = tzmin;\n\n\t\tif ( tzmax < tmax || tmax !== tmax ) tmax = tzmax;\n\n\t\t//return point closest to the ray (positive side)\n\n\t\tif ( tmax < 0 ) return null;\n\n\t\treturn this.at( tmin >= 0 ? tmin : tmax, target );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn this.intersectBox( box, _vector$a ) !== null;\n\n\t}\n\n\tintersectTriangle( a, b, c, backfaceCulling, target ) {\n\n\t\t// Compute the offset origin, edges, and normal.\n\n\t\t// from https://github.com/pmjoniak/GeometricTools/blob/master/GTEngine/Include/Mathematics/GteIntrRay3Triangle3.h\n\n\t\t_edge1.subVectors( b, a );\n\t\t_edge2.subVectors( c, a );\n\t\t_normal$1.crossVectors( _edge1, _edge2 );\n\n\t\t// Solve Q + t*D = b1*E1 + b2*E2 (Q = kDiff, D = ray direction,\n\t\t// E1 = kEdge1, E2 = kEdge2, N = Cross(E1,E2)) by\n\t\t// |Dot(D,N)|*b1 = sign(Dot(D,N))*Dot(D,Cross(Q,E2))\n\t\t// |Dot(D,N)|*b2 = sign(Dot(D,N))*Dot(D,Cross(E1,Q))\n\t\t// |Dot(D,N)|*t = -sign(Dot(D,N))*Dot(Q,N)\n\t\tlet DdN = this.direction.dot( _normal$1 );\n\t\tlet sign;\n\n\t\tif ( DdN > 0 ) {\n\n\t\t\tif ( backfaceCulling ) return null;\n\t\t\tsign = 1;\n\n\t\t} else if ( DdN < 0 ) {\n\n\t\t\tsign = - 1;\n\t\t\tDdN = - DdN;\n\n\t\t} else {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t_diff.subVectors( this.origin, a );\n\t\tconst DdQxE2 = sign * this.direction.dot( _edge2.crossVectors( _diff, _edge2 ) );\n\n\t\t// b1 < 0, no intersection\n\t\tif ( DdQxE2 < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst DdE1xQ = sign * this.direction.dot( _edge1.cross( _diff ) );\n\n\t\t// b2 < 0, no intersection\n\t\tif ( DdE1xQ < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// b1+b2 > 1, no intersection\n\t\tif ( DdQxE2 + DdE1xQ > DdN ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// Line intersects triangle, check if ray does.\n\t\tconst QdN = - sign * _diff.dot( _normal$1 );\n\n\t\t// t < 0, no intersection\n\t\tif ( QdN < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// Ray intersects triangle.\n\t\treturn this.at( QdN / DdN, target );\n\n\t}\n\n\tapplyMatrix4( matrix4 ) {\n\n\t\tthis.origin.applyMatrix4( matrix4 );\n\t\tthis.direction.transformDirection( matrix4 );\n\n\t\treturn this;\n\n\t}\n\n\tequals( ray ) {\n\n\t\treturn ray.origin.equals( this.origin ) && ray.direction.equals( this.direction );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass Matrix4 {\n\n\tconstructor( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 ) {\n\n\t\tMatrix4.prototype.isMatrix4 = true;\n\n\t\tthis.elements = [\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, 1, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t];\n\n\t\tif ( n11 !== undefined ) {\n\n\t\t\tthis.set( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 );\n\n\t\t}\n\n\t}\n\n\tset( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] = n11; te[ 4 ] = n12; te[ 8 ] = n13; te[ 12 ] = n14;\n\t\tte[ 1 ] = n21; te[ 5 ] = n22; te[ 9 ] = n23; te[ 13 ] = n24;\n\t\tte[ 2 ] = n31; te[ 6 ] = n32; te[ 10 ] = n33; te[ 14 ] = n34;\n\t\tte[ 3 ] = n41; te[ 7 ] = n42; te[ 11 ] = n43; te[ 15 ] = n44;\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, 1, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Matrix4().fromArray( this.elements );\n\n\t}\n\n\tcopy( m ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tte[ 0 ] = me[ 0 ]; te[ 1 ] = me[ 1 ]; te[ 2 ] = me[ 2 ]; te[ 3 ] = me[ 3 ];\n\t\tte[ 4 ] = me[ 4 ]; te[ 5 ] = me[ 5 ]; te[ 6 ] = me[ 6 ]; te[ 7 ] = me[ 7 ];\n\t\tte[ 8 ] = me[ 8 ]; te[ 9 ] = me[ 9 ]; te[ 10 ] = me[ 10 ]; te[ 11 ] = me[ 11 ];\n\t\tte[ 12 ] = me[ 12 ]; te[ 13 ] = me[ 13 ]; te[ 14 ] = me[ 14 ]; te[ 15 ] = me[ 15 ];\n\n\t\treturn this;\n\n\t}\n\n\tcopyPosition( m ) {\n\n\t\tconst te = this.elements, me = m.elements;\n\n\t\tte[ 12 ] = me[ 12 ];\n\t\tte[ 13 ] = me[ 13 ];\n\t\tte[ 14 ] = me[ 14 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrix3( m ) {\n\n\t\tconst me = m.elements;\n\n\t\tthis.set(\n\n\t\t\tme[ 0 ], me[ 3 ], me[ 6 ], 0,\n\t\t\tme[ 1 ], me[ 4 ], me[ 7 ], 0,\n\t\t\tme[ 2 ], me[ 5 ], me[ 8 ], 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\textractBasis( xAxis, yAxis, zAxis ) {\n\n\t\txAxis.setFromMatrixColumn( this, 0 );\n\t\tyAxis.setFromMatrixColumn( this, 1 );\n\t\tzAxis.setFromMatrixColumn( this, 2 );\n\n\t\treturn this;\n\n\t}\n\n\tmakeBasis( xAxis, yAxis, zAxis ) {\n\n\t\tthis.set(\n\t\t\txAxis.x, yAxis.x, zAxis.x, 0,\n\t\t\txAxis.y, yAxis.y, zAxis.y, 0,\n\t\t\txAxis.z, yAxis.z, zAxis.z, 0,\n\t\t\t0, 0, 0, 1\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\textractRotation( m ) {\n\n\t\t// this method does not support reflection matrices\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tconst scaleX = 1 / _v1$5.setFromMatrixColumn( m, 0 ).length();\n\t\tconst scaleY = 1 / _v1$5.setFromMatrixColumn( m, 1 ).length();\n\t\tconst scaleZ = 1 / _v1$5.setFromMatrixColumn( m, 2 ).length();\n\n\t\tte[ 0 ] = me[ 0 ] * scaleX;\n\t\tte[ 1 ] = me[ 1 ] * scaleX;\n\t\tte[ 2 ] = me[ 2 ] * scaleX;\n\t\tte[ 3 ] = 0;\n\n\t\tte[ 4 ] = me[ 4 ] * scaleY;\n\t\tte[ 5 ] = me[ 5 ] * scaleY;\n\t\tte[ 6 ] = me[ 6 ] * scaleY;\n\t\tte[ 7 ] = 0;\n\n\t\tte[ 8 ] = me[ 8 ] * scaleZ;\n\t\tte[ 9 ] = me[ 9 ] * scaleZ;\n\t\tte[ 10 ] = me[ 10 ] * scaleZ;\n\t\tte[ 11 ] = 0;\n\n\t\tte[ 12 ] = 0;\n\t\tte[ 13 ] = 0;\n\t\tte[ 14 ] = 0;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationFromEuler( euler ) {\n\n\t\tconst te = this.elements;\n\n\t\tconst x = euler.x, y = euler.y, z = euler.z;\n\t\tconst a = Math.cos( x ), b = Math.sin( x );\n\t\tconst c = Math.cos( y ), d = Math.sin( y );\n\t\tconst e = Math.cos( z ), f = Math.sin( z );\n\n\t\tif ( euler.order === 'XYZ' ) {\n\n\t\t\tconst ae = a * e, af = a * f, be = b * e, bf = b * f;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = - c * f;\n\t\t\tte[ 8 ] = d;\n\n\t\t\tte[ 1 ] = af + be * d;\n\t\t\tte[ 5 ] = ae - bf * d;\n\t\t\tte[ 9 ] = - b * c;\n\n\t\t\tte[ 2 ] = bf - ae * d;\n\t\t\tte[ 6 ] = be + af * d;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'YXZ' ) {\n\n\t\t\tconst ce = c * e, cf = c * f, de = d * e, df = d * f;\n\n\t\t\tte[ 0 ] = ce + df * b;\n\t\t\tte[ 4 ] = de * b - cf;\n\t\t\tte[ 8 ] = a * d;\n\n\t\t\tte[ 1 ] = a * f;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = - b;\n\n\t\t\tte[ 2 ] = cf * b - de;\n\t\t\tte[ 6 ] = df + ce * b;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'ZXY' ) {\n\n\t\t\tconst ce = c * e, cf = c * f, de = d * e, df = d * f;\n\n\t\t\tte[ 0 ] = ce - df * b;\n\t\t\tte[ 4 ] = - a * f;\n\t\t\tte[ 8 ] = de + cf * b;\n\n\t\t\tte[ 1 ] = cf + de * b;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = df - ce * b;\n\n\t\t\tte[ 2 ] = - a * d;\n\t\t\tte[ 6 ] = b;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'ZYX' ) {\n\n\t\t\tconst ae = a * e, af = a * f, be = b * e, bf = b * f;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = be * d - af;\n\t\t\tte[ 8 ] = ae * d + bf;\n\n\t\t\tte[ 1 ] = c * f;\n\t\t\tte[ 5 ] = bf * d + ae;\n\t\t\tte[ 9 ] = af * d - be;\n\n\t\t\tte[ 2 ] = - d;\n\t\t\tte[ 6 ] = b * c;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'YZX' ) {\n\n\t\t\tconst ac = a * c, ad = a * d, bc = b * c, bd = b * d;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = bd - ac * f;\n\t\t\tte[ 8 ] = bc * f + ad;\n\n\t\t\tte[ 1 ] = f;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = - b * e;\n\n\t\t\tte[ 2 ] = - d * e;\n\t\t\tte[ 6 ] = ad * f + bc;\n\t\t\tte[ 10 ] = ac - bd * f;\n\n\t\t} else if ( euler.order === 'XZY' ) {\n\n\t\t\tconst ac = a * c, ad = a * d, bc = b * c, bd = b * d;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = - f;\n\t\t\tte[ 8 ] = d * e;\n\n\t\t\tte[ 1 ] = ac * f + bd;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = ad * f - bc;\n\n\t\t\tte[ 2 ] = bc * f - ad;\n\t\t\tte[ 6 ] = b * e;\n\t\t\tte[ 10 ] = bd * f + ac;\n\n\t\t}\n\n\t\t// bottom row\n\t\tte[ 3 ] = 0;\n\t\tte[ 7 ] = 0;\n\t\tte[ 11 ] = 0;\n\n\t\t// last column\n\t\tte[ 12 ] = 0;\n\t\tte[ 13 ] = 0;\n\t\tte[ 14 ] = 0;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationFromQuaternion( q ) {\n\n\t\treturn this.compose( _zero, q, _one );\n\n\t}\n\n\tlookAt( eye, target, up ) {\n\n\t\tconst te = this.elements;\n\n\t\t_z.subVectors( eye, target );\n\n\t\tif ( _z.lengthSq() === 0 ) {\n\n\t\t\t// eye and target are in the same position\n\n\t\t\t_z.z = 1;\n\n\t\t}\n\n\t\t_z.normalize();\n\t\t_x.crossVectors( up, _z );\n\n\t\tif ( _x.lengthSq() === 0 ) {\n\n\t\t\t// up and z are parallel\n\n\t\t\tif ( Math.abs( up.z ) === 1 ) {\n\n\t\t\t\t_z.x += 0.0001;\n\n\t\t\t} else {\n\n\t\t\t\t_z.z += 0.0001;\n\n\t\t\t}\n\n\t\t\t_z.normalize();\n\t\t\t_x.crossVectors( up, _z );\n\n\t\t}\n\n\t\t_x.normalize();\n\t\t_y.crossVectors( _z, _x );\n\n\t\tte[ 0 ] = _x.x; te[ 4 ] = _y.x; te[ 8 ] = _z.x;\n\t\tte[ 1 ] = _x.y; te[ 5 ] = _y.y; te[ 9 ] = _z.y;\n\t\tte[ 2 ] = _x.z; te[ 6 ] = _y.z; te[ 10 ] = _z.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( m ) {\n\n\t\treturn this.multiplyMatrices( this, m );\n\n\t}\n\n\tpremultiply( m ) {\n\n\t\treturn this.multiplyMatrices( m, this );\n\n\t}\n\n\tmultiplyMatrices( a, b ) {\n\n\t\tconst ae = a.elements;\n\t\tconst be = b.elements;\n\t\tconst te = this.elements;\n\n\t\tconst a11 = ae[ 0 ], a12 = ae[ 4 ], a13 = ae[ 8 ], a14 = ae[ 12 ];\n\t\tconst a21 = ae[ 1 ], a22 = ae[ 5 ], a23 = ae[ 9 ], a24 = ae[ 13 ];\n\t\tconst a31 = ae[ 2 ], a32 = ae[ 6 ], a33 = ae[ 10 ], a34 = ae[ 14 ];\n\t\tconst a41 = ae[ 3 ], a42 = ae[ 7 ], a43 = ae[ 11 ], a44 = ae[ 15 ];\n\n\t\tconst b11 = be[ 0 ], b12 = be[ 4 ], b13 = be[ 8 ], b14 = be[ 12 ];\n\t\tconst b21 = be[ 1 ], b22 = be[ 5 ], b23 = be[ 9 ], b24 = be[ 13 ];\n\t\tconst b31 = be[ 2 ], b32 = be[ 6 ], b33 = be[ 10 ], b34 = be[ 14 ];\n\t\tconst b41 = be[ 3 ], b42 = be[ 7 ], b43 = be[ 11 ], b44 = be[ 15 ];\n\n\t\tte[ 0 ] = a11 * b11 + a12 * b21 + a13 * b31 + a14 * b41;\n\t\tte[ 4 ] = a11 * b12 + a12 * b22 + a13 * b32 + a14 * b42;\n\t\tte[ 8 ] = a11 * b13 + a12 * b23 + a13 * b33 + a14 * b43;\n\t\tte[ 12 ] = a11 * b14 + a12 * b24 + a13 * b34 + a14 * b44;\n\n\t\tte[ 1 ] = a21 * b11 + a22 * b21 + a23 * b31 + a24 * b41;\n\t\tte[ 5 ] = a21 * b12 + a22 * b22 + a23 * b32 + a24 * b42;\n\t\tte[ 9 ] = a21 * b13 + a22 * b23 + a23 * b33 + a24 * b43;\n\t\tte[ 13 ] = a21 * b14 + a22 * b24 + a23 * b34 + a24 * b44;\n\n\t\tte[ 2 ] = a31 * b11 + a32 * b21 + a33 * b31 + a34 * b41;\n\t\tte[ 6 ] = a31 * b12 + a32 * b22 + a33 * b32 + a34 * b42;\n\t\tte[ 10 ] = a31 * b13 + a32 * b23 + a33 * b33 + a34 * b43;\n\t\tte[ 14 ] = a31 * b14 + a32 * b24 + a33 * b34 + a34 * b44;\n\n\t\tte[ 3 ] = a41 * b11 + a42 * b21 + a43 * b31 + a44 * b41;\n\t\tte[ 7 ] = a41 * b12 + a42 * b22 + a43 * b32 + a44 * b42;\n\t\tte[ 11 ] = a41 * b13 + a42 * b23 + a43 * b33 + a44 * b43;\n\t\tte[ 15 ] = a41 * b14 + a42 * b24 + a43 * b34 + a44 * b44;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] *= s; te[ 4 ] *= s; te[ 8 ] *= s; te[ 12 ] *= s;\n\t\tte[ 1 ] *= s; te[ 5 ] *= s; te[ 9 ] *= s; te[ 13 ] *= s;\n\t\tte[ 2 ] *= s; te[ 6 ] *= s; te[ 10 ] *= s; te[ 14 ] *= s;\n\t\tte[ 3 ] *= s; te[ 7 ] *= s; te[ 11 ] *= s; te[ 15 ] *= s;\n\n\t\treturn this;\n\n\t}\n\n\tdeterminant() {\n\n\t\tconst te = this.elements;\n\n\t\tconst n11 = te[ 0 ], n12 = te[ 4 ], n13 = te[ 8 ], n14 = te[ 12 ];\n\t\tconst n21 = te[ 1 ], n22 = te[ 5 ], n23 = te[ 9 ], n24 = te[ 13 ];\n\t\tconst n31 = te[ 2 ], n32 = te[ 6 ], n33 = te[ 10 ], n34 = te[ 14 ];\n\t\tconst n41 = te[ 3 ], n42 = te[ 7 ], n43 = te[ 11 ], n44 = te[ 15 ];\n\n\t\t//TODO: make this more efficient\n\t\t//( based on http://www.euclideanspace.com/maths/algebra/matrix/functions/inverse/fourD/index.htm )\n\n\t\treturn (\n\t\t\tn41 * (\n\t\t\t\t+ n14 * n23 * n32\n\t\t\t\t - n13 * n24 * n32\n\t\t\t\t - n14 * n22 * n33\n\t\t\t\t + n12 * n24 * n33\n\t\t\t\t + n13 * n22 * n34\n\t\t\t\t - n12 * n23 * n34\n\t\t\t) +\n\t\t\tn42 * (\n\t\t\t\t+ n11 * n23 * n34\n\t\t\t\t - n11 * n24 * n33\n\t\t\t\t + n14 * n21 * n33\n\t\t\t\t - n13 * n21 * n34\n\t\t\t\t + n13 * n24 * n31\n\t\t\t\t - n14 * n23 * n31\n\t\t\t) +\n\t\t\tn43 * (\n\t\t\t\t+ n11 * n24 * n32\n\t\t\t\t - n11 * n22 * n34\n\t\t\t\t - n14 * n21 * n32\n\t\t\t\t + n12 * n21 * n34\n\t\t\t\t + n14 * n22 * n31\n\t\t\t\t - n12 * n24 * n31\n\t\t\t) +\n\t\t\tn44 * (\n\t\t\t\t- n13 * n22 * n31\n\t\t\t\t - n11 * n23 * n32\n\t\t\t\t + n11 * n22 * n33\n\t\t\t\t + n13 * n21 * n32\n\t\t\t\t - n12 * n21 * n33\n\t\t\t\t + n12 * n23 * n31\n\t\t\t)\n\n\t\t);\n\n\t}\n\n\ttranspose() {\n\n\t\tconst te = this.elements;\n\t\tlet tmp;\n\n\t\ttmp = te[ 1 ]; te[ 1 ] = te[ 4 ]; te[ 4 ] = tmp;\n\t\ttmp = te[ 2 ]; te[ 2 ] = te[ 8 ]; te[ 8 ] = tmp;\n\t\ttmp = te[ 6 ]; te[ 6 ] = te[ 9 ]; te[ 9 ] = tmp;\n\n\t\ttmp = te[ 3 ]; te[ 3 ] = te[ 12 ]; te[ 12 ] = tmp;\n\t\ttmp = te[ 7 ]; te[ 7 ] = te[ 13 ]; te[ 13 ] = tmp;\n\t\ttmp = te[ 11 ]; te[ 11 ] = te[ 14 ]; te[ 14 ] = tmp;\n\n\t\treturn this;\n\n\t}\n\n\tsetPosition( x, y, z ) {\n\n\t\tconst te = this.elements;\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\tte[ 12 ] = x.x;\n\t\t\tte[ 13 ] = x.y;\n\t\t\tte[ 14 ] = x.z;\n\n\t\t} else {\n\n\t\t\tte[ 12 ] = x;\n\t\t\tte[ 13 ] = y;\n\t\t\tte[ 14 ] = z;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tinvert() {\n\n\t\t// based on http://www.euclideanspace.com/maths/algebra/matrix/functions/inverse/fourD/index.htm\n\t\tconst te = this.elements,\n\n\t\t\tn11 = te[ 0 ], n21 = te[ 1 ], n31 = te[ 2 ], n41 = te[ 3 ],\n\t\t\tn12 = te[ 4 ], n22 = te[ 5 ], n32 = te[ 6 ], n42 = te[ 7 ],\n\t\t\tn13 = te[ 8 ], n23 = te[ 9 ], n33 = te[ 10 ], n43 = te[ 11 ],\n\t\t\tn14 = te[ 12 ], n24 = te[ 13 ], n34 = te[ 14 ], n44 = te[ 15 ],\n\n\t\t\tt11 = n23 * n34 * n42 - n24 * n33 * n42 + n24 * n32 * n43 - n22 * n34 * n43 - n23 * n32 * n44 + n22 * n33 * n44,\n\t\t\tt12 = n14 * n33 * n42 - n13 * n34 * n42 - n14 * n32 * n43 + n12 * n34 * n43 + n13 * n32 * n44 - n12 * n33 * n44,\n\t\t\tt13 = n13 * n24 * n42 - n14 * n23 * n42 + n14 * n22 * n43 - n12 * n24 * n43 - n13 * n22 * n44 + n12 * n23 * n44,\n\t\t\tt14 = n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34;\n\n\t\tconst det = n11 * t11 + n21 * t12 + n31 * t13 + n41 * t14;\n\n\t\tif ( det === 0 ) return this.set( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 );\n\n\t\tconst detInv = 1 / det;\n\n\t\tte[ 0 ] = t11 * detInv;\n\t\tte[ 1 ] = ( n24 * n33 * n41 - n23 * n34 * n41 - n24 * n31 * n43 + n21 * n34 * n43 + n23 * n31 * n44 - n21 * n33 * n44 ) * detInv;\n\t\tte[ 2 ] = ( n22 * n34 * n41 - n24 * n32 * n41 + n24 * n31 * n42 - n21 * n34 * n42 - n22 * n31 * n44 + n21 * n32 * n44 ) * detInv;\n\t\tte[ 3 ] = ( n23 * n32 * n41 - n22 * n33 * n41 - n23 * n31 * n42 + n21 * n33 * n42 + n22 * n31 * n43 - n21 * n32 * n43 ) * detInv;\n\n\t\tte[ 4 ] = t12 * detInv;\n\t\tte[ 5 ] = ( n13 * n34 * n41 - n14 * n33 * n41 + n14 * n31 * n43 - n11 * n34 * n43 - n13 * n31 * n44 + n11 * n33 * n44 ) * detInv;\n\t\tte[ 6 ] = ( n14 * n32 * n41 - n12 * n34 * n41 - n14 * n31 * n42 + n11 * n34 * n42 + n12 * n31 * n44 - n11 * n32 * n44 ) * detInv;\n\t\tte[ 7 ] = ( n12 * n33 * n41 - n13 * n32 * n41 + n13 * n31 * n42 - n11 * n33 * n42 - n12 * n31 * n43 + n11 * n32 * n43 ) * detInv;\n\n\t\tte[ 8 ] = t13 * detInv;\n\t\tte[ 9 ] = ( n14 * n23 * n41 - n13 * n24 * n41 - n14 * n21 * n43 + n11 * n24 * n43 + n13 * n21 * n44 - n11 * n23 * n44 ) * detInv;\n\t\tte[ 10 ] = ( n12 * n24 * n41 - n14 * n22 * n41 + n14 * n21 * n42 - n11 * n24 * n42 - n12 * n21 * n44 + n11 * n22 * n44 ) * detInv;\n\t\tte[ 11 ] = ( n13 * n22 * n41 - n12 * n23 * n41 - n13 * n21 * n42 + n11 * n23 * n42 + n12 * n21 * n43 - n11 * n22 * n43 ) * detInv;\n\n\t\tte[ 12 ] = t14 * detInv;\n\t\tte[ 13 ] = ( n13 * n24 * n31 - n14 * n23 * n31 + n14 * n21 * n33 - n11 * n24 * n33 - n13 * n21 * n34 + n11 * n23 * n34 ) * detInv;\n\t\tte[ 14 ] = ( n14 * n22 * n31 - n12 * n24 * n31 - n14 * n21 * n32 + n11 * n24 * n32 + n12 * n21 * n34 - n11 * n22 * n34 ) * detInv;\n\t\tte[ 15 ] = ( n12 * n23 * n31 - n13 * n22 * n31 + n13 * n21 * n32 - n11 * n23 * n32 - n12 * n21 * n33 + n11 * n22 * n33 ) * detInv;\n\n\t\treturn this;\n\n\t}\n\n\tscale( v ) {\n\n\t\tconst te = this.elements;\n\t\tconst x = v.x, y = v.y, z = v.z;\n\n\t\tte[ 0 ] *= x; te[ 4 ] *= y; te[ 8 ] *= z;\n\t\tte[ 1 ] *= x; te[ 5 ] *= y; te[ 9 ] *= z;\n\t\tte[ 2 ] *= x; te[ 6 ] *= y; te[ 10 ] *= z;\n\t\tte[ 3 ] *= x; te[ 7 ] *= y; te[ 11 ] *= z;\n\n\t\treturn this;\n\n\t}\n\n\tgetMaxScaleOnAxis() {\n\n\t\tconst te = this.elements;\n\n\t\tconst scaleXSq = te[ 0 ] * te[ 0 ] + te[ 1 ] * te[ 1 ] + te[ 2 ] * te[ 2 ];\n\t\tconst scaleYSq = te[ 4 ] * te[ 4 ] + te[ 5 ] * te[ 5 ] + te[ 6 ] * te[ 6 ];\n\t\tconst scaleZSq = te[ 8 ] * te[ 8 ] + te[ 9 ] * te[ 9 ] + te[ 10 ] * te[ 10 ];\n\n\t\treturn Math.sqrt( Math.max( scaleXSq, scaleYSq, scaleZSq ) );\n\n\t}\n\n\tmakeTranslation( x, y, z ) {\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, 0, x.x,\n\t\t\t\t0, 1, 0, x.y,\n\t\t\t\t0, 0, 1, x.z,\n\t\t\t\t0, 0, 0, 1\n\n\t\t\t);\n\n\t\t} else {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, 0, x,\n\t\t\t\t0, 1, 0, y,\n\t\t\t\t0, 0, 1, z,\n\t\t\t\t0, 0, 0, 1\n\n\t\t\t);\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationX( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, c, - s, 0,\n\t\t\t0, s, c, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationY( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\t c, 0, s, 0,\n\t\t\t 0, 1, 0, 0,\n\t\t\t- s, 0, c, 0,\n\t\t\t 0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationZ( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\tc, - s, 0, 0,\n\t\t\ts, c, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationAxis( axis, angle ) {\n\n\t\t// Based on http://www.gamedev.net/reference/articles/article1199.asp\n\n\t\tconst c = Math.cos( angle );\n\t\tconst s = Math.sin( angle );\n\t\tconst t = 1 - c;\n\t\tconst x = axis.x, y = axis.y, z = axis.z;\n\t\tconst tx = t * x, ty = t * y;\n\n\t\tthis.set(\n\n\t\t\ttx * x + c, tx * y - s * z, tx * z + s * y, 0,\n\t\t\ttx * y + s * z, ty * y + c, ty * z - s * x, 0,\n\t\t\ttx * z - s * y, ty * z + s * x, t * z * z + c, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeScale( x, y, z ) {\n\n\t\tthis.set(\n\n\t\t\tx, 0, 0, 0,\n\t\t\t0, y, 0, 0,\n\t\t\t0, 0, z, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeShear( xy, xz, yx, yz, zx, zy ) {\n\n\t\tthis.set(\n\n\t\t\t1, yx, zx, 0,\n\t\t\txy, 1, zy, 0,\n\t\t\txz, yz, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tcompose( position, quaternion, scale ) {\n\n\t\tconst te = this.elements;\n\n\t\tconst x = quaternion._x, y = quaternion._y, z = quaternion._z, w = quaternion._w;\n\t\tconst x2 = x + x,\ty2 = y + y, z2 = z + z;\n\t\tconst xx = x * x2, xy = x * y2, xz = x * z2;\n\t\tconst yy = y * y2, yz = y * z2, zz = z * z2;\n\t\tconst wx = w * x2, wy = w * y2, wz = w * z2;\n\n\t\tconst sx = scale.x, sy = scale.y, sz = scale.z;\n\n\t\tte[ 0 ] = ( 1 - ( yy + zz ) ) * sx;\n\t\tte[ 1 ] = ( xy + wz ) * sx;\n\t\tte[ 2 ] = ( xz - wy ) * sx;\n\t\tte[ 3 ] = 0;\n\n\t\tte[ 4 ] = ( xy - wz ) * sy;\n\t\tte[ 5 ] = ( 1 - ( xx + zz ) ) * sy;\n\t\tte[ 6 ] = ( yz + wx ) * sy;\n\t\tte[ 7 ] = 0;\n\n\t\tte[ 8 ] = ( xz + wy ) * sz;\n\t\tte[ 9 ] = ( yz - wx ) * sz;\n\t\tte[ 10 ] = ( 1 - ( xx + yy ) ) * sz;\n\t\tte[ 11 ] = 0;\n\n\t\tte[ 12 ] = position.x;\n\t\tte[ 13 ] = position.y;\n\t\tte[ 14 ] = position.z;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tdecompose( position, quaternion, scale ) {\n\n\t\tconst te = this.elements;\n\n\t\tlet sx = _v1$5.set( te[ 0 ], te[ 1 ], te[ 2 ] ).length();\n\t\tconst sy = _v1$5.set( te[ 4 ], te[ 5 ], te[ 6 ] ).length();\n\t\tconst sz = _v1$5.set( te[ 8 ], te[ 9 ], te[ 10 ] ).length();\n\n\t\t// if determine is negative, we need to invert one scale\n\t\tconst det = this.determinant();\n\t\tif ( det < 0 ) sx = - sx;\n\n\t\tposition.x = te[ 12 ];\n\t\tposition.y = te[ 13 ];\n\t\tposition.z = te[ 14 ];\n\n\t\t// scale the rotation part\n\t\t_m1$2.copy( this );\n\n\t\tconst invSX = 1 / sx;\n\t\tconst invSY = 1 / sy;\n\t\tconst invSZ = 1 / sz;\n\n\t\t_m1$2.elements[ 0 ] *= invSX;\n\t\t_m1$2.elements[ 1 ] *= invSX;\n\t\t_m1$2.elements[ 2 ] *= invSX;\n\n\t\t_m1$2.elements[ 4 ] *= invSY;\n\t\t_m1$2.elements[ 5 ] *= invSY;\n\t\t_m1$2.elements[ 6 ] *= invSY;\n\n\t\t_m1$2.elements[ 8 ] *= invSZ;\n\t\t_m1$2.elements[ 9 ] *= invSZ;\n\t\t_m1$2.elements[ 10 ] *= invSZ;\n\n\t\tquaternion.setFromRotationMatrix( _m1$2 );\n\n\t\tscale.x = sx;\n\t\tscale.y = sy;\n\t\tscale.z = sz;\n\n\t\treturn this;\n\n\t}\n\n\tmakePerspective( left, right, top, bottom, near, far, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst te = this.elements;\n\t\tconst x = 2 * near / ( right - left );\n\t\tconst y = 2 * near / ( top - bottom );\n\n\t\tconst a = ( right + left ) / ( right - left );\n\t\tconst b = ( top + bottom ) / ( top - bottom );\n\n\t\tlet c, d;\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tc = - ( far + near ) / ( far - near );\n\t\t\td = ( - 2 * far * near ) / ( far - near );\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tc = - far / ( far - near );\n\t\t\td = ( - far * near ) / ( far - near );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Matrix4.makePerspective(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tte[ 0 ] = x;\tte[ 4 ] = 0;\tte[ 8 ] = a; \tte[ 12 ] = 0;\n\t\tte[ 1 ] = 0;\tte[ 5 ] = y;\tte[ 9 ] = b; \tte[ 13 ] = 0;\n\t\tte[ 2 ] = 0;\tte[ 6 ] = 0;\tte[ 10 ] = c; \tte[ 14 ] = d;\n\t\tte[ 3 ] = 0;\tte[ 7 ] = 0;\tte[ 11 ] = - 1;\tte[ 15 ] = 0;\n\n\t\treturn this;\n\n\t}\n\n\tmakeOrthographic( left, right, top, bottom, near, far, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst te = this.elements;\n\t\tconst w = 1.0 / ( right - left );\n\t\tconst h = 1.0 / ( top - bottom );\n\t\tconst p = 1.0 / ( far - near );\n\n\t\tconst x = ( right + left ) * w;\n\t\tconst y = ( top + bottom ) * h;\n\n\t\tlet z, zInv;\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tz = ( far + near ) * p;\n\t\t\tzInv = - 2 * p;\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tz = near * p;\n\t\t\tzInv = - 1 * p;\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Matrix4.makeOrthographic(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tte[ 0 ] = 2 * w;\tte[ 4 ] = 0;\t\tte[ 8 ] = 0; \t\tte[ 12 ] = - x;\n\t\tte[ 1 ] = 0; \t\tte[ 5 ] = 2 * h;\tte[ 9 ] = 0; \t\tte[ 13 ] = - y;\n\t\tte[ 2 ] = 0; \t\tte[ 6 ] = 0;\t\tte[ 10 ] = zInv;\tte[ 14 ] = - z;\n\t\tte[ 3 ] = 0; \t\tte[ 7 ] = 0;\t\tte[ 11 ] = 0;\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tequals( matrix ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = matrix.elements;\n\n\t\tfor ( let i = 0; i < 16; i ++ ) {\n\n\t\t\tif ( te[ i ] !== me[ i ] ) return false;\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tfor ( let i = 0; i < 16; i ++ ) {\n\n\t\t\tthis.elements[ i ] = array[ i + offset ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst te = this.elements;\n\n\t\tarray[ offset ] = te[ 0 ];\n\t\tarray[ offset + 1 ] = te[ 1 ];\n\t\tarray[ offset + 2 ] = te[ 2 ];\n\t\tarray[ offset + 3 ] = te[ 3 ];\n\n\t\tarray[ offset + 4 ] = te[ 4 ];\n\t\tarray[ offset + 5 ] = te[ 5 ];\n\t\tarray[ offset + 6 ] = te[ 6 ];\n\t\tarray[ offset + 7 ] = te[ 7 ];\n\n\t\tarray[ offset + 8 ] = te[ 8 ];\n\t\tarray[ offset + 9 ] = te[ 9 ];\n\t\tarray[ offset + 10 ] = te[ 10 ];\n\t\tarray[ offset + 11 ] = te[ 11 ];\n\n\t\tarray[ offset + 12 ] = te[ 12 ];\n\t\tarray[ offset + 13 ] = te[ 13 ];\n\t\tarray[ offset + 14 ] = te[ 14 ];\n\t\tarray[ offset + 15 ] = te[ 15 ];\n\n\t\treturn array;\n\n\t}\n\n}\n\nconst _v1$5 = /*@__PURE__*/ new Vector3();\nconst _m1$2 = /*@__PURE__*/ new Matrix4();\nconst _zero = /*@__PURE__*/ new Vector3( 0, 0, 0 );\nconst _one = /*@__PURE__*/ new Vector3( 1, 1, 1 );\nconst _x = /*@__PURE__*/ new Vector3();\nconst _y = /*@__PURE__*/ new Vector3();\nconst _z = /*@__PURE__*/ new Vector3();\n\nconst _matrix$1 = /*@__PURE__*/ new Matrix4();\nconst _quaternion$3 = /*@__PURE__*/ new Quaternion();\n\nclass Euler {\n\n\tconstructor( x = 0, y = 0, z = 0, order = Euler.DEFAULT_ORDER ) {\n\n\t\tthis.isEuler = true;\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._order = order;\n\n\t}\n\n\tget x() {\n\n\t\treturn this._x;\n\n\t}\n\n\tset x( value ) {\n\n\t\tthis._x = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget y() {\n\n\t\treturn this._y;\n\n\t}\n\n\tset y( value ) {\n\n\t\tthis._y = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget z() {\n\n\t\treturn this._z;\n\n\t}\n\n\tset z( value ) {\n\n\t\tthis._z = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget order() {\n\n\t\treturn this._order;\n\n\t}\n\n\tset order( value ) {\n\n\t\tthis._order = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tset( x, y, z, order = this._order ) {\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._order = order;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this._x, this._y, this._z, this._order );\n\n\t}\n\n\tcopy( euler ) {\n\n\t\tthis._x = euler._x;\n\t\tthis._y = euler._y;\n\t\tthis._z = euler._z;\n\t\tthis._order = euler._order;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromRotationMatrix( m, order = this._order, update = true ) {\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tconst te = m.elements;\n\t\tconst m11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ];\n\t\tconst m21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ];\n\t\tconst m31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ];\n\n\t\tswitch ( order ) {\n\n\t\t\tcase 'XYZ':\n\n\t\t\t\tthis._y = Math.asin( clamp( m13, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m13 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m33 );\n\t\t\t\t\tthis._z = Math.atan2( - m12, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m22 );\n\t\t\t\t\tthis._z = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'YXZ':\n\n\t\t\t\tthis._x = Math.asin( - clamp( m23, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m23 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._y = Math.atan2( m13, m33 );\n\t\t\t\t\tthis._z = Math.atan2( m21, m22 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._y = Math.atan2( - m31, m11 );\n\t\t\t\t\tthis._z = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZXY':\n\n\t\t\t\tthis._x = Math.asin( clamp( m32, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m32 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._y = Math.atan2( - m31, m33 );\n\t\t\t\t\tthis._z = Math.atan2( - m12, m22 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._y = 0;\n\t\t\t\t\tthis._z = Math.atan2( m21, m11 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZYX':\n\n\t\t\t\tthis._y = Math.asin( - clamp( m31, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m31 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m33 );\n\t\t\t\t\tthis._z = Math.atan2( m21, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = 0;\n\t\t\t\t\tthis._z = Math.atan2( - m12, m22 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'YZX':\n\n\t\t\t\tthis._z = Math.asin( clamp( m21, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m21 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m22 );\n\t\t\t\t\tthis._y = Math.atan2( - m31, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = 0;\n\t\t\t\t\tthis._y = Math.atan2( m13, m33 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'XZY':\n\n\t\t\t\tthis._z = Math.asin( - clamp( m12, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m12 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m22 );\n\t\t\t\t\tthis._y = Math.atan2( m13, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m33 );\n\t\t\t\t\tthis._y = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\n\t\t\t\tconsole.warn( 'THREE.Euler: .setFromRotationMatrix() encountered an unknown order: ' + order );\n\n\t\t}\n\n\t\tthis._order = order;\n\n\t\tif ( update === true ) this._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromQuaternion( q, order, update ) {\n\n\t\t_matrix$1.makeRotationFromQuaternion( q );\n\n\t\treturn this.setFromRotationMatrix( _matrix$1, order, update );\n\n\t}\n\n\tsetFromVector3( v, order = this._order ) {\n\n\t\treturn this.set( v.x, v.y, v.z, order );\n\n\t}\n\n\treorder( newOrder ) {\n\n\t\t// WARNING: this discards revolution information -bhouston\n\n\t\t_quaternion$3.setFromEuler( this );\n\n\t\treturn this.setFromQuaternion( _quaternion$3, newOrder );\n\n\t}\n\n\tequals( euler ) {\n\n\t\treturn ( euler._x === this._x ) && ( euler._y === this._y ) && ( euler._z === this._z ) && ( euler._order === this._order );\n\n\t}\n\n\tfromArray( array ) {\n\n\t\tthis._x = array[ 0 ];\n\t\tthis._y = array[ 1 ];\n\t\tthis._z = array[ 2 ];\n\t\tif ( array[ 3 ] !== undefined ) this._order = array[ 3 ];\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this._x;\n\t\tarray[ offset + 1 ] = this._y;\n\t\tarray[ offset + 2 ] = this._z;\n\t\tarray[ offset + 3 ] = this._order;\n\n\t\treturn array;\n\n\t}\n\n\t_onChange( callback ) {\n\n\t\tthis._onChangeCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\t_onChangeCallback() {}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this._x;\n\t\tyield this._y;\n\t\tyield this._z;\n\t\tyield this._order;\n\n\t}\n\n}\n\nEuler.DEFAULT_ORDER = 'XYZ';\n\nclass Layers {\n\n\tconstructor() {\n\n\t\tthis.mask = 1 | 0;\n\n\t}\n\n\tset( channel ) {\n\n\t\tthis.mask = ( 1 << channel | 0 ) >>> 0;\n\n\t}\n\n\tenable( channel ) {\n\n\t\tthis.mask |= 1 << channel | 0;\n\n\t}\n\n\tenableAll() {\n\n\t\tthis.mask = 0xffffffff | 0;\n\n\t}\n\n\ttoggle( channel ) {\n\n\t\tthis.mask ^= 1 << channel | 0;\n\n\t}\n\n\tdisable( channel ) {\n\n\t\tthis.mask &= ~ ( 1 << channel | 0 );\n\n\t}\n\n\tdisableAll() {\n\n\t\tthis.mask = 0;\n\n\t}\n\n\ttest( layers ) {\n\n\t\treturn ( this.mask & layers.mask ) !== 0;\n\n\t}\n\n\tisEnabled( channel ) {\n\n\t\treturn ( this.mask & ( 1 << channel | 0 ) ) !== 0;\n\n\t}\n\n}\n\nlet _object3DId = 0;\n\nconst _v1$4 = /*@__PURE__*/ new Vector3();\nconst _q1 = /*@__PURE__*/ new Quaternion();\nconst _m1$1 = /*@__PURE__*/ new Matrix4();\nconst _target = /*@__PURE__*/ new Vector3();\n\nconst _position$3 = /*@__PURE__*/ new Vector3();\nconst _scale$2 = /*@__PURE__*/ new Vector3();\nconst _quaternion$2 = /*@__PURE__*/ new Quaternion();\n\nconst _xAxis = /*@__PURE__*/ new Vector3( 1, 0, 0 );\nconst _yAxis = /*@__PURE__*/ new Vector3( 0, 1, 0 );\nconst _zAxis = /*@__PURE__*/ new Vector3( 0, 0, 1 );\n\nconst _addedEvent = { type: 'added' };\nconst _removedEvent = { type: 'removed' };\n\nclass Object3D extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isObject3D = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _object3DId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'Object3D';\n\n\t\tthis.parent = null;\n\t\tthis.children = [];\n\n\t\tthis.up = Object3D.DEFAULT_UP.clone();\n\n\t\tconst position = new Vector3();\n\t\tconst rotation = new Euler();\n\t\tconst quaternion = new Quaternion();\n\t\tconst scale = new Vector3( 1, 1, 1 );\n\n\t\tfunction onRotationChange() {\n\n\t\t\tquaternion.setFromEuler( rotation, false );\n\n\t\t}\n\n\t\tfunction onQuaternionChange() {\n\n\t\t\trotation.setFromQuaternion( quaternion, undefined, false );\n\n\t\t}\n\n\t\trotation._onChange( onRotationChange );\n\t\tquaternion._onChange( onQuaternionChange );\n\n\t\tObject.defineProperties( this, {\n\t\t\tposition: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: position\n\t\t\t},\n\t\t\trotation: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: rotation\n\t\t\t},\n\t\t\tquaternion: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: quaternion\n\t\t\t},\n\t\t\tscale: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: scale\n\t\t\t},\n\t\t\tmodelViewMatrix: {\n\t\t\t\tvalue: new Matrix4()\n\t\t\t},\n\t\t\tnormalMatrix: {\n\t\t\t\tvalue: new Matrix3()\n\t\t\t}\n\t\t} );\n\n\t\tthis.matrix = new Matrix4();\n\t\tthis.matrixWorld = new Matrix4();\n\n\t\tthis.matrixAutoUpdate = Object3D.DEFAULT_MATRIX_AUTO_UPDATE;\n\n\t\tthis.matrixWorldAutoUpdate = Object3D.DEFAULT_MATRIX_WORLD_AUTO_UPDATE; // checked by the renderer\n\t\tthis.matrixWorldNeedsUpdate = false;\n\n\t\tthis.layers = new Layers();\n\t\tthis.visible = true;\n\n\t\tthis.castShadow = false;\n\t\tthis.receiveShadow = false;\n\n\t\tthis.frustumCulled = true;\n\t\tthis.renderOrder = 0;\n\n\t\tthis.animations = [];\n\n\t\tthis.userData = {};\n\n\t}\n\n\tonBeforeShadow( /* renderer, object, camera, shadowCamera, geometry, depthMaterial, group */ ) {}\n\n\tonAfterShadow( /* renderer, object, camera, shadowCamera, geometry, depthMaterial, group */ ) {}\n\n\tonBeforeRender( /* renderer, scene, camera, geometry, material, group */ ) {}\n\n\tonAfterRender( /* renderer, scene, camera, geometry, material, group */ ) {}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tthis.matrix.premultiply( matrix );\n\n\t\tthis.matrix.decompose( this.position, this.quaternion, this.scale );\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\tthis.quaternion.premultiply( q );\n\n\t\treturn this;\n\n\t}\n\n\tsetRotationFromAxisAngle( axis, angle ) {\n\n\t\t// assumes axis is normalized\n\n\t\tthis.quaternion.setFromAxisAngle( axis, angle );\n\n\t}\n\n\tsetRotationFromEuler( euler ) {\n\n\t\tthis.quaternion.setFromEuler( euler, true );\n\n\t}\n\n\tsetRotationFromMatrix( m ) {\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tthis.quaternion.setFromRotationMatrix( m );\n\n\t}\n\n\tsetRotationFromQuaternion( q ) {\n\n\t\t// assumes q is normalized\n\n\t\tthis.quaternion.copy( q );\n\n\t}\n\n\trotateOnAxis( axis, angle ) {\n\n\t\t// rotate object on axis in object space\n\t\t// axis is assumed to be normalized\n\n\t\t_q1.setFromAxisAngle( axis, angle );\n\n\t\tthis.quaternion.multiply( _q1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateOnWorldAxis( axis, angle ) {\n\n\t\t// rotate object on axis in world space\n\t\t// axis is assumed to be normalized\n\t\t// method assumes no rotated parent\n\n\t\t_q1.setFromAxisAngle( axis, angle );\n\n\t\tthis.quaternion.premultiply( _q1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateX( angle ) {\n\n\t\treturn this.rotateOnAxis( _xAxis, angle );\n\n\t}\n\n\trotateY( angle ) {\n\n\t\treturn this.rotateOnAxis( _yAxis, angle );\n\n\t}\n\n\trotateZ( angle ) {\n\n\t\treturn this.rotateOnAxis( _zAxis, angle );\n\n\t}\n\n\ttranslateOnAxis( axis, distance ) {\n\n\t\t// translate object by distance along axis in object space\n\t\t// axis is assumed to be normalized\n\n\t\t_v1$4.copy( axis ).applyQuaternion( this.quaternion );\n\n\t\tthis.position.add( _v1$4.multiplyScalar( distance ) );\n\n\t\treturn this;\n\n\t}\n\n\ttranslateX( distance ) {\n\n\t\treturn this.translateOnAxis( _xAxis, distance );\n\n\t}\n\n\ttranslateY( distance ) {\n\n\t\treturn this.translateOnAxis( _yAxis, distance );\n\n\t}\n\n\ttranslateZ( distance ) {\n\n\t\treturn this.translateOnAxis( _zAxis, distance );\n\n\t}\n\n\tlocalToWorld( vector ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn vector.applyMatrix4( this.matrixWorld );\n\n\t}\n\n\tworldToLocal( vector ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn vector.applyMatrix4( _m1$1.copy( this.matrixWorld ).invert() );\n\n\t}\n\n\tlookAt( x, y, z ) {\n\n\t\t// This method does not support objects having non-uniformly-scaled parent(s)\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\t_target.copy( x );\n\n\t\t} else {\n\n\t\t\t_target.set( x, y, z );\n\n\t\t}\n\n\t\tconst parent = this.parent;\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\t_position$3.setFromMatrixPosition( this.matrixWorld );\n\n\t\tif ( this.isCamera || this.isLight ) {\n\n\t\t\t_m1$1.lookAt( _position$3, _target, this.up );\n\n\t\t} else {\n\n\t\t\t_m1$1.lookAt( _target, _position$3, this.up );\n\n\t\t}\n\n\t\tthis.quaternion.setFromRotationMatrix( _m1$1 );\n\n\t\tif ( parent ) {\n\n\t\t\t_m1$1.extractRotation( parent.matrixWorld );\n\t\t\t_q1.setFromRotationMatrix( _m1$1 );\n\t\t\tthis.quaternion.premultiply( _q1.invert() );\n\n\t\t}\n\n\t}\n\n\tadd( object ) {\n\n\t\tif ( arguments.length > 1 ) {\n\n\t\t\tfor ( let i = 0; i < arguments.length; i ++ ) {\n\n\t\t\t\tthis.add( arguments[ i ] );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( object === this ) {\n\n\t\t\tconsole.error( 'THREE.Object3D.add: object can\\'t be added as a child of itself.', object );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( object && object.isObject3D ) {\n\n\t\t\tif ( object.parent !== null ) {\n\n\t\t\t\tobject.parent.remove( object );\n\n\t\t\t}\n\n\t\t\tobject.parent = this;\n\t\t\tthis.children.push( object );\n\n\t\t\tobject.dispatchEvent( _addedEvent );\n\n\t\t} else {\n\n\t\t\tconsole.error( 'THREE.Object3D.add: object not an instance of THREE.Object3D.', object );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremove( object ) {\n\n\t\tif ( arguments.length > 1 ) {\n\n\t\t\tfor ( let i = 0; i < arguments.length; i ++ ) {\n\n\t\t\t\tthis.remove( arguments[ i ] );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst index = this.children.indexOf( object );\n\n\t\tif ( index !== - 1 ) {\n\n\t\t\tobject.parent = null;\n\t\t\tthis.children.splice( index, 1 );\n\n\t\t\tobject.dispatchEvent( _removedEvent );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremoveFromParent() {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( parent !== null ) {\n\n\t\t\tparent.remove( this );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclear() {\n\n\t\treturn this.remove( ... this.children );\n\n\t}\n\n\tattach( object ) {\n\n\t\t// adds object as a child of this, while maintaining the object's world transform\n\n\t\t// Note: This method does not support scene graphs having non-uniformly-scaled nodes(s)\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\t_m1$1.copy( this.matrixWorld ).invert();\n\n\t\tif ( object.parent !== null ) {\n\n\t\t\tobject.parent.updateWorldMatrix( true, false );\n\n\t\t\t_m1$1.multiply( object.parent.matrixWorld );\n\n\t\t}\n\n\t\tobject.applyMatrix4( _m1$1 );\n\n\t\tthis.add( object );\n\n\t\tobject.updateWorldMatrix( false, true );\n\n\t\treturn this;\n\n\t}\n\n\tgetObjectById( id ) {\n\n\t\treturn this.getObjectByProperty( 'id', id );\n\n\t}\n\n\tgetObjectByName( name ) {\n\n\t\treturn this.getObjectByProperty( 'name', name );\n\n\t}\n\n\tgetObjectByProperty( name, value ) {\n\n\t\tif ( this[ name ] === value ) return this;\n\n\t\tfor ( let i = 0, l = this.children.length; i < l; i ++ ) {\n\n\t\t\tconst child = this.children[ i ];\n\t\t\tconst object = child.getObjectByProperty( name, value );\n\n\t\t\tif ( object !== undefined ) {\n\n\t\t\t\treturn object;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn undefined;\n\n\t}\n\n\tgetObjectsByProperty( name, value, result = [] ) {\n\n\t\tif ( this[ name ] === value ) result.push( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].getObjectsByProperty( name, value, result );\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\tgetWorldPosition( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn target.setFromMatrixPosition( this.matrixWorld );\n\n\t}\n\n\tgetWorldQuaternion( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tthis.matrixWorld.decompose( _position$3, target, _scale$2 );\n\n\t\treturn target;\n\n\t}\n\n\tgetWorldScale( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tthis.matrixWorld.decompose( _position$3, _quaternion$2, target );\n\n\t\treturn target;\n\n\t}\n\n\tgetWorldDirection( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tconst e = this.matrixWorld.elements;\n\n\t\treturn target.set( e[ 8 ], e[ 9 ], e[ 10 ] ).normalize();\n\n\t}\n\n\traycast( /* raycaster, intersects */ ) {}\n\n\ttraverse( callback ) {\n\n\t\tcallback( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].traverse( callback );\n\n\t\t}\n\n\t}\n\n\ttraverseVisible( callback ) {\n\n\t\tif ( this.visible === false ) return;\n\n\t\tcallback( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].traverseVisible( callback );\n\n\t\t}\n\n\t}\n\n\ttraverseAncestors( callback ) {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( parent !== null ) {\n\n\t\t\tcallback( parent );\n\n\t\t\tparent.traverseAncestors( callback );\n\n\t\t}\n\n\t}\n\n\tupdateMatrix() {\n\n\t\tthis.matrix.compose( this.position, this.quaternion, this.scale );\n\n\t\tthis.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tif ( this.matrixWorldNeedsUpdate || force ) {\n\n\t\t\tif ( this.parent === null ) {\n\n\t\t\t\tthis.matrixWorld.copy( this.matrix );\n\n\t\t\t} else {\n\n\t\t\t\tthis.matrixWorld.multiplyMatrices( this.parent.matrixWorld, this.matrix );\n\n\t\t\t}\n\n\t\t\tthis.matrixWorldNeedsUpdate = false;\n\n\t\t\tforce = true;\n\n\t\t}\n\n\t\t// update children\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tconst child = children[ i ];\n\n\t\t\tif ( child.matrixWorldAutoUpdate === true || force === true ) {\n\n\t\t\t\tchild.updateMatrixWorld( force );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateWorldMatrix( updateParents, updateChildren ) {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( updateParents === true && parent !== null && parent.matrixWorldAutoUpdate === true ) {\n\n\t\t\tparent.updateWorldMatrix( true, false );\n\n\t\t}\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tif ( this.parent === null ) {\n\n\t\t\tthis.matrixWorld.copy( this.matrix );\n\n\t\t} else {\n\n\t\t\tthis.matrixWorld.multiplyMatrices( this.parent.matrixWorld, this.matrix );\n\n\t\t}\n\n\t\t// update children\n\n\t\tif ( updateChildren === true ) {\n\n\t\t\tconst children = this.children;\n\n\t\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\t\tconst child = children[ i ];\n\n\t\t\t\tif ( child.matrixWorldAutoUpdate === true ) {\n\n\t\t\t\t\tchild.updateWorldMatrix( false, true );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\t// meta is a string when called from JSON.stringify\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tconst output = {};\n\n\t\t// meta is a hash used to collect geometries, materials.\n\t\t// not providing it implies that this is the root object\n\t\t// being serialized.\n\t\tif ( isRootObject ) {\n\n\t\t\t// initialize meta obj\n\t\t\tmeta = {\n\t\t\t\tgeometries: {},\n\t\t\t\tmaterials: {},\n\t\t\t\ttextures: {},\n\t\t\t\timages: {},\n\t\t\t\tshapes: {},\n\t\t\t\tskeletons: {},\n\t\t\t\tanimations: {},\n\t\t\t\tnodes: {}\n\t\t\t};\n\n\t\t\toutput.metadata = {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Object',\n\t\t\t\tgenerator: 'Object3D.toJSON'\n\t\t\t};\n\n\t\t}\n\n\t\t// standard Object3D serialization\n\n\t\tconst object = {};\n\n\t\tobject.uuid = this.uuid;\n\t\tobject.type = this.type;\n\n\t\tif ( this.name !== '' ) object.name = this.name;\n\t\tif ( this.castShadow === true ) object.castShadow = true;\n\t\tif ( this.receiveShadow === true ) object.receiveShadow = true;\n\t\tif ( this.visible === false ) object.visible = false;\n\t\tif ( this.frustumCulled === false ) object.frustumCulled = false;\n\t\tif ( this.renderOrder !== 0 ) object.renderOrder = this.renderOrder;\n\t\tif ( Object.keys( this.userData ).length > 0 ) object.userData = this.userData;\n\n\t\tobject.layers = this.layers.mask;\n\t\tobject.matrix = this.matrix.toArray();\n\t\tobject.up = this.up.toArray();\n\n\t\tif ( this.matrixAutoUpdate === false ) object.matrixAutoUpdate = false;\n\n\t\t// object specific properties\n\n\t\tif ( this.isInstancedMesh ) {\n\n\t\t\tobject.type = 'InstancedMesh';\n\t\t\tobject.count = this.count;\n\t\t\tobject.instanceMatrix = this.instanceMatrix.toJSON();\n\t\t\tif ( this.instanceColor !== null ) object.instanceColor = this.instanceColor.toJSON();\n\n\t\t}\n\n\t\tif ( this.isBatchedMesh ) {\n\n\t\t\tobject.type = 'BatchedMesh';\n\t\t\tobject.perObjectFrustumCulled = this.perObjectFrustumCulled;\n\t\t\tobject.sortObjects = this.sortObjects;\n\n\t\t\tobject.drawRanges = this._drawRanges;\n\t\t\tobject.reservedRanges = this._reservedRanges;\n\n\t\t\tobject.visibility = this._visibility;\n\t\t\tobject.active = this._active;\n\t\t\tobject.bounds = this._bounds.map( bound => ( {\n\t\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\t\tboxMin: bound.box.min.toArray(),\n\t\t\t\tboxMax: bound.box.max.toArray(),\n\n\t\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\t\tsphereRadius: bound.sphere.radius,\n\t\t\t\tsphereCenter: bound.sphere.center.toArray()\n\t\t\t} ) );\n\n\t\t\tobject.maxGeometryCount = this._maxGeometryCount;\n\t\t\tobject.maxVertexCount = this._maxVertexCount;\n\t\t\tobject.maxIndexCount = this._maxIndexCount;\n\n\t\t\tobject.geometryInitialized = this._geometryInitialized;\n\t\t\tobject.geometryCount = this._geometryCount;\n\n\t\t\tobject.matricesTexture = this._matricesTexture.toJSON( meta );\n\n\t\t\tif ( this.boundingSphere !== null ) {\n\n\t\t\t\tobject.boundingSphere = {\n\t\t\t\t\tcenter: object.boundingSphere.center.toArray(),\n\t\t\t\t\tradius: object.boundingSphere.radius\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t\tif ( this.boundingBox !== null ) {\n\n\t\t\t\tobject.boundingBox = {\n\t\t\t\t\tmin: object.boundingBox.min.toArray(),\n\t\t\t\t\tmax: object.boundingBox.max.toArray()\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tfunction serialize( library, element ) {\n\n\t\t\tif ( library[ element.uuid ] === undefined ) {\n\n\t\t\t\tlibrary[ element.uuid ] = element.toJSON( meta );\n\n\t\t\t}\n\n\t\t\treturn element.uuid;\n\n\t\t}\n\n\t\tif ( this.isScene ) {\n\n\t\t\tif ( this.background ) {\n\n\t\t\t\tif ( this.background.isColor ) {\n\n\t\t\t\t\tobject.background = this.background.toJSON();\n\n\t\t\t\t} else if ( this.background.isTexture ) {\n\n\t\t\t\t\tobject.background = this.background.toJSON( meta ).uuid;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( this.environment && this.environment.isTexture && this.environment.isRenderTargetTexture !== true ) {\n\n\t\t\t\tobject.environment = this.environment.toJSON( meta ).uuid;\n\n\t\t\t}\n\n\t\t} else if ( this.isMesh || this.isLine || this.isPoints ) {\n\n\t\t\tobject.geometry = serialize( meta.geometries, this.geometry );\n\n\t\t\tconst parameters = this.geometry.parameters;\n\n\t\t\tif ( parameters !== undefined && parameters.shapes !== undefined ) {\n\n\t\t\t\tconst shapes = parameters.shapes;\n\n\t\t\t\tif ( Array.isArray( shapes ) ) {\n\n\t\t\t\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\t\t\t\tconst shape = shapes[ i ];\n\n\t\t\t\t\t\tserialize( meta.shapes, shape );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tserialize( meta.shapes, shapes );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.isSkinnedMesh ) {\n\n\t\t\tobject.bindMode = this.bindMode;\n\t\t\tobject.bindMatrix = this.bindMatrix.toArray();\n\n\t\t\tif ( this.skeleton !== undefined ) {\n\n\t\t\t\tserialize( meta.skeletons, this.skeleton );\n\n\t\t\t\tobject.skeleton = this.skeleton.uuid;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.material !== undefined ) {\n\n\t\t\tif ( Array.isArray( this.material ) ) {\n\n\t\t\t\tconst uuids = [];\n\n\t\t\t\tfor ( let i = 0, l = this.material.length; i < l; i ++ ) {\n\n\t\t\t\t\tuuids.push( serialize( meta.materials, this.material[ i ] ) );\n\n\t\t\t\t}\n\n\t\t\t\tobject.material = uuids;\n\n\t\t\t} else {\n\n\t\t\t\tobject.material = serialize( meta.materials, this.material );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.children.length > 0 ) {\n\n\t\t\tobject.children = [];\n\n\t\t\tfor ( let i = 0; i < this.children.length; i ++ ) {\n\n\t\t\t\tobject.children.push( this.children[ i ].toJSON( meta ).object );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.animations.length > 0 ) {\n\n\t\t\tobject.animations = [];\n\n\t\t\tfor ( let i = 0; i < this.animations.length; i ++ ) {\n\n\t\t\t\tconst animation = this.animations[ i ];\n\n\t\t\t\tobject.animations.push( serialize( meta.animations, animation ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( isRootObject ) {\n\n\t\t\tconst geometries = extractFromCache( meta.geometries );\n\t\t\tconst materials = extractFromCache( meta.materials );\n\t\t\tconst textures = extractFromCache( meta.textures );\n\t\t\tconst images = extractFromCache( meta.images );\n\t\t\tconst shapes = extractFromCache( meta.shapes );\n\t\t\tconst skeletons = extractFromCache( meta.skeletons );\n\t\t\tconst animations = extractFromCache( meta.animations );\n\t\t\tconst nodes = extractFromCache( meta.nodes );\n\n\t\t\tif ( geometries.length > 0 ) output.geometries = geometries;\n\t\t\tif ( materials.length > 0 ) output.materials = materials;\n\t\t\tif ( textures.length > 0 ) output.textures = textures;\n\t\t\tif ( images.length > 0 ) output.images = images;\n\t\t\tif ( shapes.length > 0 ) output.shapes = shapes;\n\t\t\tif ( skeletons.length > 0 ) output.skeletons = skeletons;\n\t\t\tif ( animations.length > 0 ) output.animations = animations;\n\t\t\tif ( nodes.length > 0 ) output.nodes = nodes;\n\n\t\t}\n\n\t\toutput.object = object;\n\n\t\treturn output;\n\n\t\t// extract data from the cache hash\n\t\t// remove metadata on each item\n\t\t// and return as array\n\t\tfunction extractFromCache( cache ) {\n\n\t\t\tconst values = [];\n\t\t\tfor ( const key in cache ) {\n\n\t\t\t\tconst data = cache[ key ];\n\t\t\t\tdelete data.metadata;\n\t\t\t\tvalues.push( data );\n\n\t\t\t}\n\n\t\t\treturn values;\n\n\t\t}\n\n\t}\n\n\tclone( recursive ) {\n\n\t\treturn new this.constructor().copy( this, recursive );\n\n\t}\n\n\tcopy( source, recursive = true ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.up.copy( source.up );\n\n\t\tthis.position.copy( source.position );\n\t\tthis.rotation.order = source.rotation.order;\n\t\tthis.quaternion.copy( source.quaternion );\n\t\tthis.scale.copy( source.scale );\n\n\t\tthis.matrix.copy( source.matrix );\n\t\tthis.matrixWorld.copy( source.matrixWorld );\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\n\t\tthis.matrixWorldAutoUpdate = source.matrixWorldAutoUpdate;\n\t\tthis.matrixWorldNeedsUpdate = source.matrixWorldNeedsUpdate;\n\n\t\tthis.layers.mask = source.layers.mask;\n\t\tthis.visible = source.visible;\n\n\t\tthis.castShadow = source.castShadow;\n\t\tthis.receiveShadow = source.receiveShadow;\n\n\t\tthis.frustumCulled = source.frustumCulled;\n\t\tthis.renderOrder = source.renderOrder;\n\n\t\tthis.animations = source.animations.slice();\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\tif ( recursive === true ) {\n\n\t\t\tfor ( let i = 0; i < source.children.length; i ++ ) {\n\n\t\t\t\tconst child = source.children[ i ];\n\t\t\t\tthis.add( child.clone() );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nObject3D.DEFAULT_UP = /*@__PURE__*/ new Vector3( 0, 1, 0 );\nObject3D.DEFAULT_MATRIX_AUTO_UPDATE = true;\nObject3D.DEFAULT_MATRIX_WORLD_AUTO_UPDATE = true;\n\nconst _v0$1 = /*@__PURE__*/ new Vector3();\nconst _v1$3 = /*@__PURE__*/ new Vector3();\nconst _v2$2 = /*@__PURE__*/ new Vector3();\nconst _v3$1 = /*@__PURE__*/ new Vector3();\n\nconst _vab = /*@__PURE__*/ new Vector3();\nconst _vac = /*@__PURE__*/ new Vector3();\nconst _vbc = /*@__PURE__*/ new Vector3();\nconst _vap = /*@__PURE__*/ new Vector3();\nconst _vbp = /*@__PURE__*/ new Vector3();\nconst _vcp = /*@__PURE__*/ new Vector3();\n\nlet warnedGetUV = false;\n\nclass Triangle {\n\n\tconstructor( a = new Vector3(), b = new Vector3(), c = new Vector3() ) {\n\n\t\tthis.a = a;\n\t\tthis.b = b;\n\t\tthis.c = c;\n\n\t}\n\n\tstatic getNormal( a, b, c, target ) {\n\n\t\ttarget.subVectors( c, b );\n\t\t_v0$1.subVectors( a, b );\n\t\ttarget.cross( _v0$1 );\n\n\t\tconst targetLengthSq = target.lengthSq();\n\t\tif ( targetLengthSq > 0 ) {\n\n\t\t\treturn target.multiplyScalar( 1 / Math.sqrt( targetLengthSq ) );\n\n\t\t}\n\n\t\treturn target.set( 0, 0, 0 );\n\n\t}\n\n\t// static/instance method to calculate barycentric coordinates\n\t// based on: http://www.blackpawn.com/texts/pointinpoly/default.html\n\tstatic getBarycoord( point, a, b, c, target ) {\n\n\t\t_v0$1.subVectors( c, a );\n\t\t_v1$3.subVectors( b, a );\n\t\t_v2$2.subVectors( point, a );\n\n\t\tconst dot00 = _v0$1.dot( _v0$1 );\n\t\tconst dot01 = _v0$1.dot( _v1$3 );\n\t\tconst dot02 = _v0$1.dot( _v2$2 );\n\t\tconst dot11 = _v1$3.dot( _v1$3 );\n\t\tconst dot12 = _v1$3.dot( _v2$2 );\n\n\t\tconst denom = ( dot00 * dot11 - dot01 * dot01 );\n\n\t\t// collinear or singular triangle\n\t\tif ( denom === 0 ) {\n\n\t\t\ttarget.set( 0, 0, 0 );\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst invDenom = 1 / denom;\n\t\tconst u = ( dot11 * dot02 - dot01 * dot12 ) * invDenom;\n\t\tconst v = ( dot00 * dot12 - dot01 * dot02 ) * invDenom;\n\n\t\t// barycentric coordinates must always sum to 1\n\t\treturn target.set( 1 - u - v, v, u );\n\n\t}\n\n\tstatic containsPoint( point, a, b, c ) {\n\n\t\t// if the triangle is degenerate then we can't contain a point\n\t\tif ( this.getBarycoord( point, a, b, c, _v3$1 ) === null ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn ( _v3$1.x >= 0 ) && ( _v3$1.y >= 0 ) && ( ( _v3$1.x + _v3$1.y ) <= 1 );\n\n\t}\n\n\tstatic getUV( point, p1, p2, p3, uv1, uv2, uv3, target ) { // @deprecated, r151\n\n\t\tif ( warnedGetUV === false ) {\n\n\t\t\tconsole.warn( 'THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation().' );\n\n\t\t\twarnedGetUV = true;\n\n\t\t}\n\n\t\treturn this.getInterpolation( point, p1, p2, p3, uv1, uv2, uv3, target );\n\n\t}\n\n\tstatic getInterpolation( point, p1, p2, p3, v1, v2, v3, target ) {\n\n\t\tif ( this.getBarycoord( point, p1, p2, p3, _v3$1 ) === null ) {\n\n\t\t\ttarget.x = 0;\n\t\t\ttarget.y = 0;\n\t\t\tif ( 'z' in target ) target.z = 0;\n\t\t\tif ( 'w' in target ) target.w = 0;\n\t\t\treturn null;\n\n\t\t}\n\n\t\ttarget.setScalar( 0 );\n\t\ttarget.addScaledVector( v1, _v3$1.x );\n\t\ttarget.addScaledVector( v2, _v3$1.y );\n\t\ttarget.addScaledVector( v3, _v3$1.z );\n\n\t\treturn target;\n\n\t}\n\n\tstatic isFrontFacing( a, b, c, direction ) {\n\n\t\t_v0$1.subVectors( c, b );\n\t\t_v1$3.subVectors( a, b );\n\n\t\t// strictly front facing\n\t\treturn ( _v0$1.cross( _v1$3 ).dot( direction ) < 0 ) ? true : false;\n\n\t}\n\n\tset( a, b, c ) {\n\n\t\tthis.a.copy( a );\n\t\tthis.b.copy( b );\n\t\tthis.c.copy( c );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPointsAndIndices( points, i0, i1, i2 ) {\n\n\t\tthis.a.copy( points[ i0 ] );\n\t\tthis.b.copy( points[ i1 ] );\n\t\tthis.c.copy( points[ i2 ] );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromAttributeAndIndices( attribute, i0, i1, i2 ) {\n\n\t\tthis.a.fromBufferAttribute( attribute, i0 );\n\t\tthis.b.fromBufferAttribute( attribute, i1 );\n\t\tthis.c.fromBufferAttribute( attribute, i2 );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( triangle ) {\n\n\t\tthis.a.copy( triangle.a );\n\t\tthis.b.copy( triangle.b );\n\t\tthis.c.copy( triangle.c );\n\n\t\treturn this;\n\n\t}\n\n\tgetArea() {\n\n\t\t_v0$1.subVectors( this.c, this.b );\n\t\t_v1$3.subVectors( this.a, this.b );\n\n\t\treturn _v0$1.cross( _v1$3 ).length() * 0.5;\n\n\t}\n\n\tgetMidpoint( target ) {\n\n\t\treturn target.addVectors( this.a, this.b ).add( this.c ).multiplyScalar( 1 / 3 );\n\n\t}\n\n\tgetNormal( target ) {\n\n\t\treturn Triangle.getNormal( this.a, this.b, this.c, target );\n\n\t}\n\n\tgetPlane( target ) {\n\n\t\treturn target.setFromCoplanarPoints( this.a, this.b, this.c );\n\n\t}\n\n\tgetBarycoord( point, target ) {\n\n\t\treturn Triangle.getBarycoord( point, this.a, this.b, this.c, target );\n\n\t}\n\n\tgetUV( point, uv1, uv2, uv3, target ) { // @deprecated, r151\n\n\t\tif ( warnedGetUV === false ) {\n\n\t\t\tconsole.warn( 'THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation().' );\n\n\t\t\twarnedGetUV = true;\n\n\t\t}\n\n\t\treturn Triangle.getInterpolation( point, this.a, this.b, this.c, uv1, uv2, uv3, target );\n\n\t}\n\n\tgetInterpolation( point, v1, v2, v3, target ) {\n\n\t\treturn Triangle.getInterpolation( point, this.a, this.b, this.c, v1, v2, v3, target );\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn Triangle.containsPoint( point, this.a, this.b, this.c );\n\n\t}\n\n\tisFrontFacing( direction ) {\n\n\t\treturn Triangle.isFrontFacing( this.a, this.b, this.c, direction );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsTriangle( this );\n\n\t}\n\n\tclosestPointToPoint( p, target ) {\n\n\t\tconst a = this.a, b = this.b, c = this.c;\n\t\tlet v, w;\n\n\t\t// algorithm thanks to Real-Time Collision Detection by Christer Ericson,\n\t\t// published by Morgan Kaufmann Publishers, (c) 2005 Elsevier Inc.,\n\t\t// under the accompanying license; see chapter 5.1.5 for detailed explanation.\n\t\t// basically, we're distinguishing which of the voronoi regions of the triangle\n\t\t// the point lies in with the minimum amount of redundant computation.\n\n\t\t_vab.subVectors( b, a );\n\t\t_vac.subVectors( c, a );\n\t\t_vap.subVectors( p, a );\n\t\tconst d1 = _vab.dot( _vap );\n\t\tconst d2 = _vac.dot( _vap );\n\t\tif ( d1 <= 0 && d2 <= 0 ) {\n\n\t\t\t// vertex region of A; barycentric coords (1, 0, 0)\n\t\t\treturn target.copy( a );\n\n\t\t}\n\n\t\t_vbp.subVectors( p, b );\n\t\tconst d3 = _vab.dot( _vbp );\n\t\tconst d4 = _vac.dot( _vbp );\n\t\tif ( d3 >= 0 && d4 <= d3 ) {\n\n\t\t\t// vertex region of B; barycentric coords (0, 1, 0)\n\t\t\treturn target.copy( b );\n\n\t\t}\n\n\t\tconst vc = d1 * d4 - d3 * d2;\n\t\tif ( vc <= 0 && d1 >= 0 && d3 <= 0 ) {\n\n\t\t\tv = d1 / ( d1 - d3 );\n\t\t\t// edge region of AB; barycentric coords (1-v, v, 0)\n\t\t\treturn target.copy( a ).addScaledVector( _vab, v );\n\n\t\t}\n\n\t\t_vcp.subVectors( p, c );\n\t\tconst d5 = _vab.dot( _vcp );\n\t\tconst d6 = _vac.dot( _vcp );\n\t\tif ( d6 >= 0 && d5 <= d6 ) {\n\n\t\t\t// vertex region of C; barycentric coords (0, 0, 1)\n\t\t\treturn target.copy( c );\n\n\t\t}\n\n\t\tconst vb = d5 * d2 - d1 * d6;\n\t\tif ( vb <= 0 && d2 >= 0 && d6 <= 0 ) {\n\n\t\t\tw = d2 / ( d2 - d6 );\n\t\t\t// edge region of AC; barycentric coords (1-w, 0, w)\n\t\t\treturn target.copy( a ).addScaledVector( _vac, w );\n\n\t\t}\n\n\t\tconst va = d3 * d6 - d5 * d4;\n\t\tif ( va <= 0 && ( d4 - d3 ) >= 0 && ( d5 - d6 ) >= 0 ) {\n\n\t\t\t_vbc.subVectors( c, b );\n\t\t\tw = ( d4 - d3 ) / ( ( d4 - d3 ) + ( d5 - d6 ) );\n\t\t\t// edge region of BC; barycentric coords (0, 1-w, w)\n\t\t\treturn target.copy( b ).addScaledVector( _vbc, w ); // edge region of BC\n\n\t\t}\n\n\t\t// face region\n\t\tconst denom = 1 / ( va + vb + vc );\n\t\t// u = va * denom\n\t\tv = vb * denom;\n\t\tw = vc * denom;\n\n\t\treturn target.copy( a ).addScaledVector( _vab, v ).addScaledVector( _vac, w );\n\n\t}\n\n\tequals( triangle ) {\n\n\t\treturn triangle.a.equals( this.a ) && triangle.b.equals( this.b ) && triangle.c.equals( this.c );\n\n\t}\n\n}\n\nconst _colorKeywords = { 'aliceblue': 0xF0F8FF, 'antiquewhite': 0xFAEBD7, 'aqua': 0x00FFFF, 'aquamarine': 0x7FFFD4, 'azure': 0xF0FFFF,\n\t'beige': 0xF5F5DC, 'bisque': 0xFFE4C4, 'black': 0x000000, 'blanchedalmond': 0xFFEBCD, 'blue': 0x0000FF, 'blueviolet': 0x8A2BE2,\n\t'brown': 0xA52A2A, 'burlywood': 0xDEB887, 'cadetblue': 0x5F9EA0, 'chartreuse': 0x7FFF00, 'chocolate': 0xD2691E, 'coral': 0xFF7F50,\n\t'cornflowerblue': 0x6495ED, 'cornsilk': 0xFFF8DC, 'crimson': 0xDC143C, 'cyan': 0x00FFFF, 'darkblue': 0x00008B, 'darkcyan': 0x008B8B,\n\t'darkgoldenrod': 0xB8860B, 'darkgray': 0xA9A9A9, 'darkgreen': 0x006400, 'darkgrey': 0xA9A9A9, 'darkkhaki': 0xBDB76B, 'darkmagenta': 0x8B008B,\n\t'darkolivegreen': 0x556B2F, 'darkorange': 0xFF8C00, 'darkorchid': 0x9932CC, 'darkred': 0x8B0000, 'darksalmon': 0xE9967A, 'darkseagreen': 0x8FBC8F,\n\t'darkslateblue': 0x483D8B, 'darkslategray': 0x2F4F4F, 'darkslategrey': 0x2F4F4F, 'darkturquoise': 0x00CED1, 'darkviolet': 0x9400D3,\n\t'deeppink': 0xFF1493, 'deepskyblue': 0x00BFFF, 'dimgray': 0x696969, 'dimgrey': 0x696969, 'dodgerblue': 0x1E90FF, 'firebrick': 0xB22222,\n\t'floralwhite': 0xFFFAF0, 'forestgreen': 0x228B22, 'fuchsia': 0xFF00FF, 'gainsboro': 0xDCDCDC, 'ghostwhite': 0xF8F8FF, 'gold': 0xFFD700,\n\t'goldenrod': 0xDAA520, 'gray': 0x808080, 'green': 0x008000, 'greenyellow': 0xADFF2F, 'grey': 0x808080, 'honeydew': 0xF0FFF0, 'hotpink': 0xFF69B4,\n\t'indianred': 0xCD5C5C, 'indigo': 0x4B0082, 'ivory': 0xFFFFF0, 'khaki': 0xF0E68C, 'lavender': 0xE6E6FA, 'lavenderblush': 0xFFF0F5, 'lawngreen': 0x7CFC00,\n\t'lemonchiffon': 0xFFFACD, 'lightblue': 0xADD8E6, 'lightcoral': 0xF08080, 'lightcyan': 0xE0FFFF, 'lightgoldenrodyellow': 0xFAFAD2, 'lightgray': 0xD3D3D3,\n\t'lightgreen': 0x90EE90, 'lightgrey': 0xD3D3D3, 'lightpink': 0xFFB6C1, 'lightsalmon': 0xFFA07A, 'lightseagreen': 0x20B2AA, 'lightskyblue': 0x87CEFA,\n\t'lightslategray': 0x778899, 'lightslategrey': 0x778899, 'lightsteelblue': 0xB0C4DE, 'lightyellow': 0xFFFFE0, 'lime': 0x00FF00, 'limegreen': 0x32CD32,\n\t'linen': 0xFAF0E6, 'magenta': 0xFF00FF, 'maroon': 0x800000, 'mediumaquamarine': 0x66CDAA, 'mediumblue': 0x0000CD, 'mediumorchid': 0xBA55D3,\n\t'mediumpurple': 0x9370DB, 'mediumseagreen': 0x3CB371, 'mediumslateblue': 0x7B68EE, 'mediumspringgreen': 0x00FA9A, 'mediumturquoise': 0x48D1CC,\n\t'mediumvioletred': 0xC71585, 'midnightblue': 0x191970, 'mintcream': 0xF5FFFA, 'mistyrose': 0xFFE4E1, 'moccasin': 0xFFE4B5, 'navajowhite': 0xFFDEAD,\n\t'navy': 0x000080, 'oldlace': 0xFDF5E6, 'olive': 0x808000, 'olivedrab': 0x6B8E23, 'orange': 0xFFA500, 'orangered': 0xFF4500, 'orchid': 0xDA70D6,\n\t'palegoldenrod': 0xEEE8AA, 'palegreen': 0x98FB98, 'paleturquoise': 0xAFEEEE, 'palevioletred': 0xDB7093, 'papayawhip': 0xFFEFD5, 'peachpuff': 0xFFDAB9,\n\t'peru': 0xCD853F, 'pink': 0xFFC0CB, 'plum': 0xDDA0DD, 'powderblue': 0xB0E0E6, 'purple': 0x800080, 'rebeccapurple': 0x663399, 'red': 0xFF0000, 'rosybrown': 0xBC8F8F,\n\t'royalblue': 0x4169E1, 'saddlebrown': 0x8B4513, 'salmon': 0xFA8072, 'sandybrown': 0xF4A460, 'seagreen': 0x2E8B57, 'seashell': 0xFFF5EE,\n\t'sienna': 0xA0522D, 'silver': 0xC0C0C0, 'skyblue': 0x87CEEB, 'slateblue': 0x6A5ACD, 'slategray': 0x708090, 'slategrey': 0x708090, 'snow': 0xFFFAFA,\n\t'springgreen': 0x00FF7F, 'steelblue': 0x4682B4, 'tan': 0xD2B48C, 'teal': 0x008080, 'thistle': 0xD8BFD8, 'tomato': 0xFF6347, 'turquoise': 0x40E0D0,\n\t'violet': 0xEE82EE, 'wheat': 0xF5DEB3, 'white': 0xFFFFFF, 'whitesmoke': 0xF5F5F5, 'yellow': 0xFFFF00, 'yellowgreen': 0x9ACD32 };\n\nconst _hslA = { h: 0, s: 0, l: 0 };\nconst _hslB = { h: 0, s: 0, l: 0 };\n\nfunction hue2rgb( p, q, t ) {\n\n\tif ( t < 0 ) t += 1;\n\tif ( t > 1 ) t -= 1;\n\tif ( t < 1 / 6 ) return p + ( q - p ) * 6 * t;\n\tif ( t < 1 / 2 ) return q;\n\tif ( t < 2 / 3 ) return p + ( q - p ) * 6 * ( 2 / 3 - t );\n\treturn p;\n\n}\n\nclass Color {\n\n\tconstructor( r, g, b ) {\n\n\t\tthis.isColor = true;\n\n\t\tthis.r = 1;\n\t\tthis.g = 1;\n\t\tthis.b = 1;\n\n\t\treturn this.set( r, g, b );\n\n\t}\n\n\tset( r, g, b ) {\n\n\t\tif ( g === undefined && b === undefined ) {\n\n\t\t\t// r is THREE.Color, hex or string\n\n\t\t\tconst value = r;\n\n\t\t\tif ( value && value.isColor ) {\n\n\t\t\t\tthis.copy( value );\n\n\t\t\t} else if ( typeof value === 'number' ) {\n\n\t\t\t\tthis.setHex( value );\n\n\t\t\t} else if ( typeof value === 'string' ) {\n\n\t\t\t\tthis.setStyle( value );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthis.setRGB( r, g, b );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.r = scalar;\n\t\tthis.g = scalar;\n\t\tthis.b = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetHex( hex, colorSpace = SRGBColorSpace ) {\n\n\t\thex = Math.floor( hex );\n\n\t\tthis.r = ( hex >> 16 & 255 ) / 255;\n\t\tthis.g = ( hex >> 8 & 255 ) / 255;\n\t\tthis.b = ( hex & 255 ) / 255;\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetRGB( r, g, b, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\tthis.r = r;\n\t\tthis.g = g;\n\t\tthis.b = b;\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetHSL( h, s, l, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\t// h,s,l ranges are in 0.0 - 1.0\n\t\th = euclideanModulo( h, 1 );\n\t\ts = clamp( s, 0, 1 );\n\t\tl = clamp( l, 0, 1 );\n\n\t\tif ( s === 0 ) {\n\n\t\t\tthis.r = this.g = this.b = l;\n\n\t\t} else {\n\n\t\t\tconst p = l <= 0.5 ? l * ( 1 + s ) : l + s - ( l * s );\n\t\t\tconst q = ( 2 * l ) - p;\n\n\t\t\tthis.r = hue2rgb( q, p, h + 1 / 3 );\n\t\t\tthis.g = hue2rgb( q, p, h );\n\t\t\tthis.b = hue2rgb( q, p, h - 1 / 3 );\n\n\t\t}\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetStyle( style, colorSpace = SRGBColorSpace ) {\n\n\t\tfunction handleAlpha( string ) {\n\n\t\t\tif ( string === undefined ) return;\n\n\t\t\tif ( parseFloat( string ) < 1 ) {\n\n\t\t\t\tconsole.warn( 'THREE.Color: Alpha component of ' + style + ' will be ignored.' );\n\n\t\t\t}\n\n\t\t}\n\n\n\t\tlet m;\n\n\t\tif ( m = /^(\\w+)\\(([^\\)]*)\\)/.exec( style ) ) {\n\n\t\t\t// rgb / hsl\n\n\t\t\tlet color;\n\t\t\tconst name = m[ 1 ];\n\t\t\tconst components = m[ 2 ];\n\n\t\t\tswitch ( name ) {\n\n\t\t\t\tcase 'rgb':\n\t\t\t\tcase 'rgba':\n\n\t\t\t\t\tif ( color = /^\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// rgb(255,0,0) rgba(255,0,0,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setRGB(\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 1 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 2 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 3 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( color = /^\\s*(\\d+)\\%\\s*,\\s*(\\d+)\\%\\s*,\\s*(\\d+)\\%\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// rgb(100%,0%,0%) rgba(100%,0%,0%,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setRGB(\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 1 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 2 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 3 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'hsl':\n\t\t\t\tcase 'hsla':\n\n\t\t\t\t\tif ( color = /^\\s*(\\d*\\.?\\d+)\\s*,\\s*(\\d*\\.?\\d+)\\%\\s*,\\s*(\\d*\\.?\\d+)\\%\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// hsl(120,50%,50%) hsla(120,50%,50%,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setHSL(\n\t\t\t\t\t\t\tparseFloat( color[ 1 ] ) / 360,\n\t\t\t\t\t\t\tparseFloat( color[ 2 ] ) / 100,\n\t\t\t\t\t\t\tparseFloat( color[ 3 ] ) / 100,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tconsole.warn( 'THREE.Color: Unknown color model ' + style );\n\n\t\t\t}\n\n\t\t} else if ( m = /^\\#([A-Fa-f\\d]+)$/.exec( style ) ) {\n\n\t\t\t// hex color\n\n\t\t\tconst hex = m[ 1 ];\n\t\t\tconst size = hex.length;\n\n\t\t\tif ( size === 3 ) {\n\n\t\t\t\t// #ff0\n\t\t\t\treturn this.setRGB(\n\t\t\t\t\tparseInt( hex.charAt( 0 ), 16 ) / 15,\n\t\t\t\t\tparseInt( hex.charAt( 1 ), 16 ) / 15,\n\t\t\t\t\tparseInt( hex.charAt( 2 ), 16 ) / 15,\n\t\t\t\t\tcolorSpace\n\t\t\t\t);\n\n\t\t\t} else if ( size === 6 ) {\n\n\t\t\t\t// #ff0000\n\t\t\t\treturn this.setHex( parseInt( hex, 16 ), colorSpace );\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'THREE.Color: Invalid hex color ' + style );\n\n\t\t\t}\n\n\t\t} else if ( style && style.length > 0 ) {\n\n\t\t\treturn this.setColorName( style, colorSpace );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetColorName( style, colorSpace = SRGBColorSpace ) {\n\n\t\t// color keywords\n\t\tconst hex = _colorKeywords[ style.toLowerCase() ];\n\n\t\tif ( hex !== undefined ) {\n\n\t\t\t// red\n\t\t\tthis.setHex( hex, colorSpace );\n\n\t\t} else {\n\n\t\t\t// unknown color\n\t\t\tconsole.warn( 'THREE.Color: Unknown color ' + style );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.r, this.g, this.b );\n\n\t}\n\n\tcopy( color ) {\n\n\t\tthis.r = color.r;\n\t\tthis.g = color.g;\n\t\tthis.b = color.b;\n\n\t\treturn this;\n\n\t}\n\n\tcopySRGBToLinear( color ) {\n\n\t\tthis.r = SRGBToLinear( color.r );\n\t\tthis.g = SRGBToLinear( color.g );\n\t\tthis.b = SRGBToLinear( color.b );\n\n\t\treturn this;\n\n\t}\n\n\tcopyLinearToSRGB( color ) {\n\n\t\tthis.r = LinearToSRGB( color.r );\n\t\tthis.g = LinearToSRGB( color.g );\n\t\tthis.b = LinearToSRGB( color.b );\n\n\t\treturn this;\n\n\t}\n\n\tconvertSRGBToLinear() {\n\n\t\tthis.copySRGBToLinear( this );\n\n\t\treturn this;\n\n\t}\n\n\tconvertLinearToSRGB() {\n\n\t\tthis.copyLinearToSRGB( this );\n\n\t\treturn this;\n\n\t}\n\n\tgetHex( colorSpace = SRGBColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\treturn Math.round( clamp( _color.r * 255, 0, 255 ) ) * 65536 + Math.round( clamp( _color.g * 255, 0, 255 ) ) * 256 + Math.round( clamp( _color.b * 255, 0, 255 ) );\n\n\t}\n\n\tgetHexString( colorSpace = SRGBColorSpace ) {\n\n\t\treturn ( '000000' + this.getHex( colorSpace ).toString( 16 ) ).slice( - 6 );\n\n\t}\n\n\tgetHSL( target, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\t// h,s,l ranges are in 0.0 - 1.0\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\tconst r = _color.r, g = _color.g, b = _color.b;\n\n\t\tconst max = Math.max( r, g, b );\n\t\tconst min = Math.min( r, g, b );\n\n\t\tlet hue, saturation;\n\t\tconst lightness = ( min + max ) / 2.0;\n\n\t\tif ( min === max ) {\n\n\t\t\thue = 0;\n\t\t\tsaturation = 0;\n\n\t\t} else {\n\n\t\t\tconst delta = max - min;\n\n\t\t\tsaturation = lightness <= 0.5 ? delta / ( max + min ) : delta / ( 2 - max - min );\n\n\t\t\tswitch ( max ) {\n\n\t\t\t\tcase r: hue = ( g - b ) / delta + ( g < b ? 6 : 0 ); break;\n\t\t\t\tcase g: hue = ( b - r ) / delta + 2; break;\n\t\t\t\tcase b: hue = ( r - g ) / delta + 4; break;\n\n\t\t\t}\n\n\t\t\thue /= 6;\n\n\t\t}\n\n\t\ttarget.h = hue;\n\t\ttarget.s = saturation;\n\t\ttarget.l = lightness;\n\n\t\treturn target;\n\n\t}\n\n\tgetRGB( target, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\ttarget.r = _color.r;\n\t\ttarget.g = _color.g;\n\t\ttarget.b = _color.b;\n\n\t\treturn target;\n\n\t}\n\n\tgetStyle( colorSpace = SRGBColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\tconst r = _color.r, g = _color.g, b = _color.b;\n\n\t\tif ( colorSpace !== SRGBColorSpace ) {\n\n\t\t\t// Requires CSS Color Module Level 4 (https://www.w3.org/TR/css-color-4/).\n\t\t\treturn `color(${ colorSpace } ${ r.toFixed( 3 ) } ${ g.toFixed( 3 ) } ${ b.toFixed( 3 ) })`;\n\n\t\t}\n\n\t\treturn `rgb(${ Math.round( r * 255 ) },${ Math.round( g * 255 ) },${ Math.round( b * 255 ) })`;\n\n\t}\n\n\toffsetHSL( h, s, l ) {\n\n\t\tthis.getHSL( _hslA );\n\n\t\treturn this.setHSL( _hslA.h + h, _hslA.s + s, _hslA.l + l );\n\n\t}\n\n\tadd( color ) {\n\n\t\tthis.r += color.r;\n\t\tthis.g += color.g;\n\t\tthis.b += color.b;\n\n\t\treturn this;\n\n\t}\n\n\taddColors( color1, color2 ) {\n\n\t\tthis.r = color1.r + color2.r;\n\t\tthis.g = color1.g + color2.g;\n\t\tthis.b = color1.b + color2.b;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.r += s;\n\t\tthis.g += s;\n\t\tthis.b += s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( color ) {\n\n\t\tthis.r = Math.max( 0, this.r - color.r );\n\t\tthis.g = Math.max( 0, this.g - color.g );\n\t\tthis.b = Math.max( 0, this.b - color.b );\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( color ) {\n\n\t\tthis.r *= color.r;\n\t\tthis.g *= color.g;\n\t\tthis.b *= color.b;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tthis.r *= s;\n\t\tthis.g *= s;\n\t\tthis.b *= s;\n\n\t\treturn this;\n\n\t}\n\n\tlerp( color, alpha ) {\n\n\t\tthis.r += ( color.r - this.r ) * alpha;\n\t\tthis.g += ( color.g - this.g ) * alpha;\n\t\tthis.b += ( color.b - this.b ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpColors( color1, color2, alpha ) {\n\n\t\tthis.r = color1.r + ( color2.r - color1.r ) * alpha;\n\t\tthis.g = color1.g + ( color2.g - color1.g ) * alpha;\n\t\tthis.b = color1.b + ( color2.b - color1.b ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpHSL( color, alpha ) {\n\n\t\tthis.getHSL( _hslA );\n\t\tcolor.getHSL( _hslB );\n\n\t\tconst h = lerp( _hslA.h, _hslB.h, alpha );\n\t\tconst s = lerp( _hslA.s, _hslB.s, alpha );\n\t\tconst l = lerp( _hslA.l, _hslB.l, alpha );\n\n\t\tthis.setHSL( h, s, l );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\tthis.r = v.x;\n\t\tthis.g = v.y;\n\t\tthis.b = v.z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst r = this.r, g = this.g, b = this.b;\n\t\tconst e = m.elements;\n\n\t\tthis.r = e[ 0 ] * r + e[ 3 ] * g + e[ 6 ] * b;\n\t\tthis.g = e[ 1 ] * r + e[ 4 ] * g + e[ 7 ] * b;\n\t\tthis.b = e[ 2 ] * r + e[ 5 ] * g + e[ 8 ] * b;\n\n\t\treturn this;\n\n\t}\n\n\tequals( c ) {\n\n\t\treturn ( c.r === this.r ) && ( c.g === this.g ) && ( c.b === this.b );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.r = array[ offset ];\n\t\tthis.g = array[ offset + 1 ];\n\t\tthis.b = array[ offset + 2 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.r;\n\t\tarray[ offset + 1 ] = this.g;\n\t\tarray[ offset + 2 ] = this.b;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.r = attribute.getX( index );\n\t\tthis.g = attribute.getY( index );\n\t\tthis.b = attribute.getZ( index );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.getHex();\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.r;\n\t\tyield this.g;\n\t\tyield this.b;\n\n\t}\n\n}\n\nconst _color = /*@__PURE__*/ new Color();\n\nColor.NAMES = _colorKeywords;\n\nlet _materialId = 0;\n\nclass Material extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isMaterial = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _materialId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'Material';\n\n\t\tthis.blending = NormalBlending;\n\t\tthis.side = FrontSide;\n\t\tthis.vertexColors = false;\n\n\t\tthis.opacity = 1;\n\t\tthis.transparent = false;\n\t\tthis.alphaHash = false;\n\n\t\tthis.blendSrc = SrcAlphaFactor;\n\t\tthis.blendDst = OneMinusSrcAlphaFactor;\n\t\tthis.blendEquation = AddEquation;\n\t\tthis.blendSrcAlpha = null;\n\t\tthis.blendDstAlpha = null;\n\t\tthis.blendEquationAlpha = null;\n\t\tthis.blendColor = new Color( 0, 0, 0 );\n\t\tthis.blendAlpha = 0;\n\n\t\tthis.depthFunc = LessEqualDepth;\n\t\tthis.depthTest = true;\n\t\tthis.depthWrite = true;\n\n\t\tthis.stencilWriteMask = 0xff;\n\t\tthis.stencilFunc = AlwaysStencilFunc;\n\t\tthis.stencilRef = 0;\n\t\tthis.stencilFuncMask = 0xff;\n\t\tthis.stencilFail = KeepStencilOp;\n\t\tthis.stencilZFail = KeepStencilOp;\n\t\tthis.stencilZPass = KeepStencilOp;\n\t\tthis.stencilWrite = false;\n\n\t\tthis.clippingPlanes = null;\n\t\tthis.clipIntersection = false;\n\t\tthis.clipShadows = false;\n\n\t\tthis.shadowSide = null;\n\n\t\tthis.colorWrite = true;\n\n\t\tthis.precision = null; // override the renderer's default precision for this material\n\n\t\tthis.polygonOffset = false;\n\t\tthis.polygonOffsetFactor = 0;\n\t\tthis.polygonOffsetUnits = 0;\n\n\t\tthis.dithering = false;\n\n\t\tthis.alphaToCoverage = false;\n\t\tthis.premultipliedAlpha = false;\n\t\tthis.forceSinglePass = false;\n\n\t\tthis.visible = true;\n\n\t\tthis.toneMapped = true;\n\n\t\tthis.userData = {};\n\n\t\tthis.version = 0;\n\n\t\tthis._alphaTest = 0;\n\n\t}\n\n\tget alphaTest() {\n\n\t\treturn this._alphaTest;\n\n\t}\n\n\tset alphaTest( value ) {\n\n\t\tif ( this._alphaTest > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._alphaTest = value;\n\n\t}\n\n\tonBuild( /* shaderobject, renderer */ ) {}\n\n\tonBeforeRender( /* renderer, scene, camera, geometry, object, group */ ) {}\n\n\tonBeforeCompile( /* shaderobject, renderer */ ) {}\n\n\tcustomProgramCacheKey() {\n\n\t\treturn this.onBeforeCompile.toString();\n\n\t}\n\n\tsetValues( values ) {\n\n\t\tif ( values === undefined ) return;\n\n\t\tfor ( const key in values ) {\n\n\t\t\tconst newValue = values[ key ];\n\n\t\t\tif ( newValue === undefined ) {\n\n\t\t\t\tconsole.warn( `THREE.Material: parameter '${ key }' has value of undefined.` );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tconst currentValue = this[ key ];\n\n\t\t\tif ( currentValue === undefined ) {\n\n\t\t\t\tconsole.warn( `THREE.Material: '${ key }' is not a property of THREE.${ this.type }.` );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( currentValue && currentValue.isColor ) {\n\n\t\t\t\tcurrentValue.set( newValue );\n\n\t\t\t} else if ( ( currentValue && currentValue.isVector3 ) && ( newValue && newValue.isVector3 ) ) {\n\n\t\t\t\tcurrentValue.copy( newValue );\n\n\t\t\t} else {\n\n\t\t\t\tthis[ key ] = newValue;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( isRootObject ) {\n\n\t\t\tmeta = {\n\t\t\t\ttextures: {},\n\t\t\t\timages: {}\n\t\t\t};\n\n\t\t}\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Material',\n\t\t\t\tgenerator: 'Material.toJSON'\n\t\t\t}\n\t\t};\n\n\t\t// standard Material serialization\n\t\tdata.uuid = this.uuid;\n\t\tdata.type = this.type;\n\n\t\tif ( this.name !== '' ) data.name = this.name;\n\n\t\tif ( this.color && this.color.isColor ) data.color = this.color.getHex();\n\n\t\tif ( this.roughness !== undefined ) data.roughness = this.roughness;\n\t\tif ( this.metalness !== undefined ) data.metalness = this.metalness;\n\n\t\tif ( this.sheen !== undefined ) data.sheen = this.sheen;\n\t\tif ( this.sheenColor && this.sheenColor.isColor ) data.sheenColor = this.sheenColor.getHex();\n\t\tif ( this.sheenRoughness !== undefined ) data.sheenRoughness = this.sheenRoughness;\n\t\tif ( this.emissive && this.emissive.isColor ) data.emissive = this.emissive.getHex();\n\t\tif ( this.emissiveIntensity && this.emissiveIntensity !== 1 ) data.emissiveIntensity = this.emissiveIntensity;\n\n\t\tif ( this.specular && this.specular.isColor ) data.specular = this.specular.getHex();\n\t\tif ( this.specularIntensity !== undefined ) data.specularIntensity = this.specularIntensity;\n\t\tif ( this.specularColor && this.specularColor.isColor ) data.specularColor = this.specularColor.getHex();\n\t\tif ( this.shininess !== undefined ) data.shininess = this.shininess;\n\t\tif ( this.clearcoat !== undefined ) data.clearcoat = this.clearcoat;\n\t\tif ( this.clearcoatRoughness !== undefined ) data.clearcoatRoughness = this.clearcoatRoughness;\n\n\t\tif ( this.clearcoatMap && this.clearcoatMap.isTexture ) {\n\n\t\t\tdata.clearcoatMap = this.clearcoatMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture ) {\n\n\t\t\tdata.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture ) {\n\n\t\t\tdata.clearcoatNormalMap = this.clearcoatNormalMap.toJSON( meta ).uuid;\n\t\t\tdata.clearcoatNormalScale = this.clearcoatNormalScale.toArray();\n\n\t\t}\n\n\t\tif ( this.iridescence !== undefined ) data.iridescence = this.iridescence;\n\t\tif ( this.iridescenceIOR !== undefined ) data.iridescenceIOR = this.iridescenceIOR;\n\t\tif ( this.iridescenceThicknessRange !== undefined ) data.iridescenceThicknessRange = this.iridescenceThicknessRange;\n\n\t\tif ( this.iridescenceMap && this.iridescenceMap.isTexture ) {\n\n\t\t\tdata.iridescenceMap = this.iridescenceMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.iridescenceThicknessMap && this.iridescenceThicknessMap.isTexture ) {\n\n\t\t\tdata.iridescenceThicknessMap = this.iridescenceThicknessMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.anisotropy !== undefined ) data.anisotropy = this.anisotropy;\n\t\tif ( this.anisotropyRotation !== undefined ) data.anisotropyRotation = this.anisotropyRotation;\n\n\t\tif ( this.anisotropyMap && this.anisotropyMap.isTexture ) {\n\n\t\t\tdata.anisotropyMap = this.anisotropyMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.map && this.map.isTexture ) data.map = this.map.toJSON( meta ).uuid;\n\t\tif ( this.matcap && this.matcap.isTexture ) data.matcap = this.matcap.toJSON( meta ).uuid;\n\t\tif ( this.alphaMap && this.alphaMap.isTexture ) data.alphaMap = this.alphaMap.toJSON( meta ).uuid;\n\n\t\tif ( this.lightMap && this.lightMap.isTexture ) {\n\n\t\t\tdata.lightMap = this.lightMap.toJSON( meta ).uuid;\n\t\t\tdata.lightMapIntensity = this.lightMapIntensity;\n\n\t\t}\n\n\t\tif ( this.aoMap && this.aoMap.isTexture ) {\n\n\t\t\tdata.aoMap = this.aoMap.toJSON( meta ).uuid;\n\t\t\tdata.aoMapIntensity = this.aoMapIntensity;\n\n\t\t}\n\n\t\tif ( this.bumpMap && this.bumpMap.isTexture ) {\n\n\t\t\tdata.bumpMap = this.bumpMap.toJSON( meta ).uuid;\n\t\t\tdata.bumpScale = this.bumpScale;\n\n\t\t}\n\n\t\tif ( this.normalMap && this.normalMap.isTexture ) {\n\n\t\t\tdata.normalMap = this.normalMap.toJSON( meta ).uuid;\n\t\t\tdata.normalMapType = this.normalMapType;\n\t\t\tdata.normalScale = this.normalScale.toArray();\n\n\t\t}\n\n\t\tif ( this.displacementMap && this.displacementMap.isTexture ) {\n\n\t\t\tdata.displacementMap = this.displacementMap.toJSON( meta ).uuid;\n\t\t\tdata.displacementScale = this.displacementScale;\n\t\t\tdata.displacementBias = this.displacementBias;\n\n\t\t}\n\n\t\tif ( this.roughnessMap && this.roughnessMap.isTexture ) data.roughnessMap = this.roughnessMap.toJSON( meta ).uuid;\n\t\tif ( this.metalnessMap && this.metalnessMap.isTexture ) data.metalnessMap = this.metalnessMap.toJSON( meta ).uuid;\n\n\t\tif ( this.emissiveMap && this.emissiveMap.isTexture ) data.emissiveMap = this.emissiveMap.toJSON( meta ).uuid;\n\t\tif ( this.specularMap && this.specularMap.isTexture ) data.specularMap = this.specularMap.toJSON( meta ).uuid;\n\t\tif ( this.specularIntensityMap && this.specularIntensityMap.isTexture ) data.specularIntensityMap = this.specularIntensityMap.toJSON( meta ).uuid;\n\t\tif ( this.specularColorMap && this.specularColorMap.isTexture ) data.specularColorMap = this.specularColorMap.toJSON( meta ).uuid;\n\n\t\tif ( this.envMap && this.envMap.isTexture ) {\n\n\t\t\tdata.envMap = this.envMap.toJSON( meta ).uuid;\n\n\t\t\tif ( this.combine !== undefined ) data.combine = this.combine;\n\n\t\t}\n\n\t\tif ( this.envMapIntensity !== undefined ) data.envMapIntensity = this.envMapIntensity;\n\t\tif ( this.reflectivity !== undefined ) data.reflectivity = this.reflectivity;\n\t\tif ( this.refractionRatio !== undefined ) data.refractionRatio = this.refractionRatio;\n\n\t\tif ( this.gradientMap && this.gradientMap.isTexture ) {\n\n\t\t\tdata.gradientMap = this.gradientMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.transmission !== undefined ) data.transmission = this.transmission;\n\t\tif ( this.transmissionMap && this.transmissionMap.isTexture ) data.transmissionMap = this.transmissionMap.toJSON( meta ).uuid;\n\t\tif ( this.thickness !== undefined ) data.thickness = this.thickness;\n\t\tif ( this.thicknessMap && this.thicknessMap.isTexture ) data.thicknessMap = this.thicknessMap.toJSON( meta ).uuid;\n\t\tif ( this.attenuationDistance !== undefined && this.attenuationDistance !== Infinity ) data.attenuationDistance = this.attenuationDistance;\n\t\tif ( this.attenuationColor !== undefined ) data.attenuationColor = this.attenuationColor.getHex();\n\n\t\tif ( this.size !== undefined ) data.size = this.size;\n\t\tif ( this.shadowSide !== null ) data.shadowSide = this.shadowSide;\n\t\tif ( this.sizeAttenuation !== undefined ) data.sizeAttenuation = this.sizeAttenuation;\n\n\t\tif ( this.blending !== NormalBlending ) data.blending = this.blending;\n\t\tif ( this.side !== FrontSide ) data.side = this.side;\n\t\tif ( this.vertexColors === true ) data.vertexColors = true;\n\n\t\tif ( this.opacity < 1 ) data.opacity = this.opacity;\n\t\tif ( this.transparent === true ) data.transparent = true;\n\n\t\tif ( this.blendSrc !== SrcAlphaFactor ) data.blendSrc = this.blendSrc;\n\t\tif ( this.blendDst !== OneMinusSrcAlphaFactor ) data.blendDst = this.blendDst;\n\t\tif ( this.blendEquation !== AddEquation ) data.blendEquation = this.blendEquation;\n\t\tif ( this.blendSrcAlpha !== null ) data.blendSrcAlpha = this.blendSrcAlpha;\n\t\tif ( this.blendDstAlpha !== null ) data.blendDstAlpha = this.blendDstAlpha;\n\t\tif ( this.blendEquationAlpha !== null ) data.blendEquationAlpha = this.blendEquationAlpha;\n\t\tif ( this.blendColor && this.blendColor.isColor ) data.blendColor = this.blendColor.getHex();\n\t\tif ( this.blendAlpha !== 0 ) data.blendAlpha = this.blendAlpha;\n\n\t\tif ( this.depthFunc !== LessEqualDepth ) data.depthFunc = this.depthFunc;\n\t\tif ( this.depthTest === false ) data.depthTest = this.depthTest;\n\t\tif ( this.depthWrite === false ) data.depthWrite = this.depthWrite;\n\t\tif ( this.colorWrite === false ) data.colorWrite = this.colorWrite;\n\n\t\tif ( this.stencilWriteMask !== 0xff ) data.stencilWriteMask = this.stencilWriteMask;\n\t\tif ( this.stencilFunc !== AlwaysStencilFunc ) data.stencilFunc = this.stencilFunc;\n\t\tif ( this.stencilRef !== 0 ) data.stencilRef = this.stencilRef;\n\t\tif ( this.stencilFuncMask !== 0xff ) data.stencilFuncMask = this.stencilFuncMask;\n\t\tif ( this.stencilFail !== KeepStencilOp ) data.stencilFail = this.stencilFail;\n\t\tif ( this.stencilZFail !== KeepStencilOp ) data.stencilZFail = this.stencilZFail;\n\t\tif ( this.stencilZPass !== KeepStencilOp ) data.stencilZPass = this.stencilZPass;\n\t\tif ( this.stencilWrite === true ) data.stencilWrite = this.stencilWrite;\n\n\t\t// rotation (SpriteMaterial)\n\t\tif ( this.rotation !== undefined && this.rotation !== 0 ) data.rotation = this.rotation;\n\n\t\tif ( this.polygonOffset === true ) data.polygonOffset = true;\n\t\tif ( this.polygonOffsetFactor !== 0 ) data.polygonOffsetFactor = this.polygonOffsetFactor;\n\t\tif ( this.polygonOffsetUnits !== 0 ) data.polygonOffsetUnits = this.polygonOffsetUnits;\n\n\t\tif ( this.linewidth !== undefined && this.linewidth !== 1 ) data.linewidth = this.linewidth;\n\t\tif ( this.dashSize !== undefined ) data.dashSize = this.dashSize;\n\t\tif ( this.gapSize !== undefined ) data.gapSize = this.gapSize;\n\t\tif ( this.scale !== undefined ) data.scale = this.scale;\n\n\t\tif ( this.dithering === true ) data.dithering = true;\n\n\t\tif ( this.alphaTest > 0 ) data.alphaTest = this.alphaTest;\n\t\tif ( this.alphaHash === true ) data.alphaHash = true;\n\t\tif ( this.alphaToCoverage === true ) data.alphaToCoverage = true;\n\t\tif ( this.premultipliedAlpha === true ) data.premultipliedAlpha = true;\n\t\tif ( this.forceSinglePass === true ) data.forceSinglePass = true;\n\n\t\tif ( this.wireframe === true ) data.wireframe = true;\n\t\tif ( this.wireframeLinewidth > 1 ) data.wireframeLinewidth = this.wireframeLinewidth;\n\t\tif ( this.wireframeLinecap !== 'round' ) data.wireframeLinecap = this.wireframeLinecap;\n\t\tif ( this.wireframeLinejoin !== 'round' ) data.wireframeLinejoin = this.wireframeLinejoin;\n\n\t\tif ( this.flatShading === true ) data.flatShading = true;\n\n\t\tif ( this.visible === false ) data.visible = false;\n\n\t\tif ( this.toneMapped === false ) data.toneMapped = false;\n\n\t\tif ( this.fog === false ) data.fog = false;\n\n\t\tif ( Object.keys( this.userData ).length > 0 ) data.userData = this.userData;\n\n\t\t// TODO: Copied from Object3D.toJSON\n\n\t\tfunction extractFromCache( cache ) {\n\n\t\t\tconst values = [];\n\n\t\t\tfor ( const key in cache ) {\n\n\t\t\t\tconst data = cache[ key ];\n\t\t\t\tdelete data.metadata;\n\t\t\t\tvalues.push( data );\n\n\t\t\t}\n\n\t\t\treturn values;\n\n\t\t}\n\n\t\tif ( isRootObject ) {\n\n\t\t\tconst textures = extractFromCache( meta.textures );\n\t\t\tconst images = extractFromCache( meta.images );\n\n\t\t\tif ( textures.length > 0 ) data.textures = textures;\n\t\t\tif ( images.length > 0 ) data.images = images;\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.blending = source.blending;\n\t\tthis.side = source.side;\n\t\tthis.vertexColors = source.vertexColors;\n\n\t\tthis.opacity = source.opacity;\n\t\tthis.transparent = source.transparent;\n\n\t\tthis.blendSrc = source.blendSrc;\n\t\tthis.blendDst = source.blendDst;\n\t\tthis.blendEquation = source.blendEquation;\n\t\tthis.blendSrcAlpha = source.blendSrcAlpha;\n\t\tthis.blendDstAlpha = source.blendDstAlpha;\n\t\tthis.blendEquationAlpha = source.blendEquationAlpha;\n\t\tthis.blendColor.copy( source.blendColor );\n\t\tthis.blendAlpha = source.blendAlpha;\n\n\t\tthis.depthFunc = source.depthFunc;\n\t\tthis.depthTest = source.depthTest;\n\t\tthis.depthWrite = source.depthWrite;\n\n\t\tthis.stencilWriteMask = source.stencilWriteMask;\n\t\tthis.stencilFunc = source.stencilFunc;\n\t\tthis.stencilRef = source.stencilRef;\n\t\tthis.stencilFuncMask = source.stencilFuncMask;\n\t\tthis.stencilFail = source.stencilFail;\n\t\tthis.stencilZFail = source.stencilZFail;\n\t\tthis.stencilZPass = source.stencilZPass;\n\t\tthis.stencilWrite = source.stencilWrite;\n\n\t\tconst srcPlanes = source.clippingPlanes;\n\t\tlet dstPlanes = null;\n\n\t\tif ( srcPlanes !== null ) {\n\n\t\t\tconst n = srcPlanes.length;\n\t\t\tdstPlanes = new Array( n );\n\n\t\t\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\t\t\tdstPlanes[ i ] = srcPlanes[ i ].clone();\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.clippingPlanes = dstPlanes;\n\t\tthis.clipIntersection = source.clipIntersection;\n\t\tthis.clipShadows = source.clipShadows;\n\n\t\tthis.shadowSide = source.shadowSide;\n\n\t\tthis.colorWrite = source.colorWrite;\n\n\t\tthis.precision = source.precision;\n\n\t\tthis.polygonOffset = source.polygonOffset;\n\t\tthis.polygonOffsetFactor = source.polygonOffsetFactor;\n\t\tthis.polygonOffsetUnits = source.polygonOffsetUnits;\n\n\t\tthis.dithering = source.dithering;\n\n\t\tthis.alphaTest = source.alphaTest;\n\t\tthis.alphaHash = source.alphaHash;\n\t\tthis.alphaToCoverage = source.alphaToCoverage;\n\t\tthis.premultipliedAlpha = source.premultipliedAlpha;\n\t\tthis.forceSinglePass = source.forceSinglePass;\n\n\t\tthis.visible = source.visible;\n\n\t\tthis.toneMapped = source.toneMapped;\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n}\n\nclass MeshBasicMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshBasicMaterial = true;\n\n\t\tthis.type = 'MeshBasicMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // emissive\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\n// Fast Half Float Conversions, http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n\nconst _tables = /*@__PURE__*/ _generateTables();\n\nfunction _generateTables() {\n\n\t// float32 to float16 helpers\n\n\tconst buffer = new ArrayBuffer( 4 );\n\tconst floatView = new Float32Array( buffer );\n\tconst uint32View = new Uint32Array( buffer );\n\n\tconst baseTable = new Uint32Array( 512 );\n\tconst shiftTable = new Uint32Array( 512 );\n\n\tfor ( let i = 0; i < 256; ++ i ) {\n\n\t\tconst e = i - 127;\n\n\t\t// very small number (0, -0)\n\n\t\tif ( e < - 27 ) {\n\n\t\t\tbaseTable[ i ] = 0x0000;\n\t\t\tbaseTable[ i | 0x100 ] = 0x8000;\n\t\t\tshiftTable[ i ] = 24;\n\t\t\tshiftTable[ i | 0x100 ] = 24;\n\n\t\t\t// small number (denorm)\n\n\t\t} else if ( e < - 14 ) {\n\n\t\t\tbaseTable[ i ] = 0x0400 >> ( - e - 14 );\n\t\t\tbaseTable[ i | 0x100 ] = ( 0x0400 >> ( - e - 14 ) ) | 0x8000;\n\t\t\tshiftTable[ i ] = - e - 1;\n\t\t\tshiftTable[ i | 0x100 ] = - e - 1;\n\n\t\t\t// normal number\n\n\t\t} else if ( e <= 15 ) {\n\n\t\t\tbaseTable[ i ] = ( e + 15 ) << 10;\n\t\t\tbaseTable[ i | 0x100 ] = ( ( e + 15 ) << 10 ) | 0x8000;\n\t\t\tshiftTable[ i ] = 13;\n\t\t\tshiftTable[ i | 0x100 ] = 13;\n\n\t\t\t// large number (Infinity, -Infinity)\n\n\t\t} else if ( e < 128 ) {\n\n\t\t\tbaseTable[ i ] = 0x7c00;\n\t\t\tbaseTable[ i | 0x100 ] = 0xfc00;\n\t\t\tshiftTable[ i ] = 24;\n\t\t\tshiftTable[ i | 0x100 ] = 24;\n\n\t\t\t// stay (NaN, Infinity, -Infinity)\n\n\t\t} else {\n\n\t\t\tbaseTable[ i ] = 0x7c00;\n\t\t\tbaseTable[ i | 0x100 ] = 0xfc00;\n\t\t\tshiftTable[ i ] = 13;\n\t\t\tshiftTable[ i | 0x100 ] = 13;\n\n\t\t}\n\n\t}\n\n\t// float16 to float32 helpers\n\n\tconst mantissaTable = new Uint32Array( 2048 );\n\tconst exponentTable = new Uint32Array( 64 );\n\tconst offsetTable = new Uint32Array( 64 );\n\n\tfor ( let i = 1; i < 1024; ++ i ) {\n\n\t\tlet m = i << 13; // zero pad mantissa bits\n\t\tlet e = 0; // zero exponent\n\n\t\t// normalized\n\t\twhile ( ( m & 0x00800000 ) === 0 ) {\n\n\t\t\tm <<= 1;\n\t\t\te -= 0x00800000; // decrement exponent\n\n\t\t}\n\n\t\tm &= ~ 0x00800000; // clear leading 1 bit\n\t\te += 0x38800000; // adjust bias\n\n\t\tmantissaTable[ i ] = m | e;\n\n\t}\n\n\tfor ( let i = 1024; i < 2048; ++ i ) {\n\n\t\tmantissaTable[ i ] = 0x38000000 + ( ( i - 1024 ) << 13 );\n\n\t}\n\n\tfor ( let i = 1; i < 31; ++ i ) {\n\n\t\texponentTable[ i ] = i << 23;\n\n\t}\n\n\texponentTable[ 31 ] = 0x47800000;\n\texponentTable[ 32 ] = 0x80000000;\n\n\tfor ( let i = 33; i < 63; ++ i ) {\n\n\t\texponentTable[ i ] = 0x80000000 + ( ( i - 32 ) << 23 );\n\n\t}\n\n\texponentTable[ 63 ] = 0xc7800000;\n\n\tfor ( let i = 1; i < 64; ++ i ) {\n\n\t\tif ( i !== 32 ) {\n\n\t\t\toffsetTable[ i ] = 1024;\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tfloatView: floatView,\n\t\tuint32View: uint32View,\n\t\tbaseTable: baseTable,\n\t\tshiftTable: shiftTable,\n\t\tmantissaTable: mantissaTable,\n\t\texponentTable: exponentTable,\n\t\toffsetTable: offsetTable\n\t};\n\n}\n\n// float32 to float16\n\nfunction toHalfFloat( val ) {\n\n\tif ( Math.abs( val ) > 65504 ) console.warn( 'THREE.DataUtils.toHalfFloat(): Value out of range.' );\n\n\tval = clamp( val, - 65504, 65504 );\n\n\t_tables.floatView[ 0 ] = val;\n\tconst f = _tables.uint32View[ 0 ];\n\tconst e = ( f >> 23 ) & 0x1ff;\n\treturn _tables.baseTable[ e ] + ( ( f & 0x007fffff ) >> _tables.shiftTable[ e ] );\n\n}\n\n// float16 to float32\n\nfunction fromHalfFloat( val ) {\n\n\tconst m = val >> 10;\n\t_tables.uint32View[ 0 ] = _tables.mantissaTable[ _tables.offsetTable[ m ] + ( val & 0x3ff ) ] + _tables.exponentTable[ m ];\n\treturn _tables.floatView[ 0 ];\n\n}\n\nconst DataUtils = {\n\ttoHalfFloat: toHalfFloat,\n\tfromHalfFloat: fromHalfFloat,\n};\n\nconst _vector$9 = /*@__PURE__*/ new Vector3();\nconst _vector2$1 = /*@__PURE__*/ new Vector2();\n\nclass BufferAttribute {\n\n\tconstructor( array, itemSize, normalized = false ) {\n\n\t\tif ( Array.isArray( array ) ) {\n\n\t\t\tthrow new TypeError( 'THREE.BufferAttribute: array should be a Typed Array.' );\n\n\t\t}\n\n\t\tthis.isBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.array = array;\n\t\tthis.itemSize = itemSize;\n\t\tthis.count = array !== undefined ? array.length / itemSize : 0;\n\t\tthis.normalized = normalized;\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis._updateRange = { offset: 0, count: - 1 };\n\t\tthis.updateRanges = [];\n\t\tthis.gpuType = FloatType;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tonUploadCallback() {}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tget updateRange() {\n\n\t\tconsole.warn( 'THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead.' ); // @deprecated, r159\n\t\treturn this._updateRange;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\taddUpdateRange( start, count ) {\n\n\t\tthis.updateRanges.push( { start, count } );\n\n\t}\n\n\tclearUpdateRanges() {\n\n\t\tthis.updateRanges.length = 0;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\t\tthis.array = new source.array.constructor( source.array );\n\t\tthis.itemSize = source.itemSize;\n\t\tthis.count = source.count;\n\t\tthis.normalized = source.normalized;\n\n\t\tthis.usage = source.usage;\n\t\tthis.gpuType = source.gpuType;\n\n\t\treturn this;\n\n\t}\n\n\tcopyAt( index1, attribute, index2 ) {\n\n\t\tindex1 *= this.itemSize;\n\t\tindex2 *= attribute.itemSize;\n\n\t\tfor ( let i = 0, l = this.itemSize; i < l; i ++ ) {\n\n\t\t\tthis.array[ index1 + i ] = attribute.array[ index2 + i ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcopyArray( array ) {\n\n\t\tthis.array.set( array );\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tif ( this.itemSize === 2 ) {\n\n\t\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t\t_vector2$1.fromBufferAttribute( this, i );\n\t\t\t\t_vector2$1.applyMatrix3( m );\n\n\t\t\t\tthis.setXY( i, _vector2$1.x, _vector2$1.y );\n\n\t\t\t}\n\n\t\t} else if ( this.itemSize === 3 ) {\n\n\t\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t\t_vector$9.fromBufferAttribute( this, i );\n\t\t\t\t_vector$9.applyMatrix3( m );\n\n\t\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.applyMatrix4( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.applyNormalMatrix( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.transformDirection( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tset( value, offset = 0 ) {\n\n\t\t// Matching BufferAttribute constructor, do not normalize the array.\n\t\tthis.array.set( value, offset );\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index, component ) {\n\n\t\tlet value = this.array[ index * this.itemSize + component ];\n\n\t\tif ( this.normalized ) value = denormalize( value, this.array );\n\n\t\treturn value;\n\n\t}\n\n\tsetComponent( index, component, value ) {\n\n\t\tif ( this.normalized ) value = normalize( value, this.array );\n\n\t\tthis.array[ index * this.itemSize + component ] = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = this.array[ index * this.itemSize ];\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.array[ index * this.itemSize ] = x;\n\n\t\treturn this;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = this.array[ index * this.itemSize + 1 ];\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.array[ index * this.itemSize + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = this.array[ index * this.itemSize + 2 ];\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.array[ index * this.itemSize + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = this.array[ index * this.itemSize + 3 ];\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.array[ index * this.itemSize + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\t\tthis.array[ index + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\t\tthis.array[ index + 2 ] = z;\n\t\tthis.array[ index + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tonUpload( callback ) {\n\n\t\tthis.onUploadCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.array, this.itemSize ).copy( this );\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\titemSize: this.itemSize,\n\t\t\ttype: this.array.constructor.name,\n\t\t\tarray: Array.from( this.array ),\n\t\t\tnormalized: this.normalized\n\t\t};\n\n\t\tif ( this.name !== '' ) data.name = this.name;\n\t\tif ( this.usage !== StaticDrawUsage ) data.usage = this.usage;\n\n\t\treturn data;\n\n\t}\n\n}\n\n//\n\nclass Int8BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int8Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint8BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint8Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint8ClampedBufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint8ClampedArray( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Int16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int16Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint16Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Int32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Float16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint16Array( array ), itemSize, normalized );\n\n\t\tthis.isFloat16BufferAttribute = true;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = fromHalfFloat( this.array[ index * this.itemSize ] );\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.array[ index * this.itemSize ] = toHalfFloat( x );\n\n\t\treturn this;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = fromHalfFloat( this.array[ index * this.itemSize + 1 ] );\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.array[ index * this.itemSize + 1 ] = toHalfFloat( y );\n\n\t\treturn this;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = fromHalfFloat( this.array[ index * this.itemSize + 2 ] );\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.array[ index * this.itemSize + 2 ] = toHalfFloat( z );\n\n\t\treturn this;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = fromHalfFloat( this.array[ index * this.itemSize + 3 ] );\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.array[ index * this.itemSize + 3 ] = toHalfFloat( w );\n\n\t\treturn this;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\t\tthis.array[ index + 2 ] = toHalfFloat( z );\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\t\tthis.array[ index + 2 ] = toHalfFloat( z );\n\t\tthis.array[ index + 3 ] = toHalfFloat( w );\n\n\t\treturn this;\n\n\t}\n\n}\n\n\nclass Float32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Float32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Float64BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Float64Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nlet _id$2 = 0;\n\nconst _m1 = /*@__PURE__*/ new Matrix4();\nconst _obj = /*@__PURE__*/ new Object3D();\nconst _offset = /*@__PURE__*/ new Vector3();\nconst _box$2 = /*@__PURE__*/ new Box3();\nconst _boxMorphTargets = /*@__PURE__*/ new Box3();\nconst _vector$8 = /*@__PURE__*/ new Vector3();\n\nclass BufferGeometry extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isBufferGeometry = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _id$2 ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'BufferGeometry';\n\n\t\tthis.index = null;\n\t\tthis.attributes = {};\n\n\t\tthis.morphAttributes = {};\n\t\tthis.morphTargetsRelative = false;\n\n\t\tthis.groups = [];\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\tthis.drawRange = { start: 0, count: Infinity };\n\n\t\tthis.userData = {};\n\n\t}\n\n\tgetIndex() {\n\n\t\treturn this.index;\n\n\t}\n\n\tsetIndex( index ) {\n\n\t\tif ( Array.isArray( index ) ) {\n\n\t\t\tthis.index = new ( arrayNeedsUint32( index ) ? Uint32BufferAttribute : Uint16BufferAttribute )( index, 1 );\n\n\t\t} else {\n\n\t\t\tthis.index = index;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetAttribute( name ) {\n\n\t\treturn this.attributes[ name ];\n\n\t}\n\n\tsetAttribute( name, attribute ) {\n\n\t\tthis.attributes[ name ] = attribute;\n\n\t\treturn this;\n\n\t}\n\n\tdeleteAttribute( name ) {\n\n\t\tdelete this.attributes[ name ];\n\n\t\treturn this;\n\n\t}\n\n\thasAttribute( name ) {\n\n\t\treturn this.attributes[ name ] !== undefined;\n\n\t}\n\n\taddGroup( start, count, materialIndex = 0 ) {\n\n\t\tthis.groups.push( {\n\n\t\t\tstart: start,\n\t\t\tcount: count,\n\t\t\tmaterialIndex: materialIndex\n\n\t\t} );\n\n\t}\n\n\tclearGroups() {\n\n\t\tthis.groups = [];\n\n\t}\n\n\tsetDrawRange( start, count ) {\n\n\t\tthis.drawRange.start = start;\n\t\tthis.drawRange.count = count;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tconst position = this.attributes.position;\n\n\t\tif ( position !== undefined ) {\n\n\t\t\tposition.applyMatrix4( matrix );\n\n\t\t\tposition.needsUpdate = true;\n\n\t\t}\n\n\t\tconst normal = this.attributes.normal;\n\n\t\tif ( normal !== undefined ) {\n\n\t\t\tconst normalMatrix = new Matrix3().getNormalMatrix( matrix );\n\n\t\t\tnormal.applyNormalMatrix( normalMatrix );\n\n\t\t\tnormal.needsUpdate = true;\n\n\t\t}\n\n\t\tconst tangent = this.attributes.tangent;\n\n\t\tif ( tangent !== undefined ) {\n\n\t\t\ttangent.transformDirection( matrix );\n\n\t\t\ttangent.needsUpdate = true;\n\n\t\t}\n\n\t\tif ( this.boundingBox !== null ) {\n\n\t\t\tthis.computeBoundingBox();\n\n\t\t}\n\n\t\tif ( this.boundingSphere !== null ) {\n\n\t\t\tthis.computeBoundingSphere();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\t_m1.makeRotationFromQuaternion( q );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateX( angle ) {\n\n\t\t// rotate geometry around world x-axis\n\n\t\t_m1.makeRotationX( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateY( angle ) {\n\n\t\t// rotate geometry around world y-axis\n\n\t\t_m1.makeRotationY( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateZ( angle ) {\n\n\t\t// rotate geometry around world z-axis\n\n\t\t_m1.makeRotationZ( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( x, y, z ) {\n\n\t\t// translate geometry\n\n\t\t_m1.makeTranslation( x, y, z );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\tscale( x, y, z ) {\n\n\t\t// scale geometry\n\n\t\t_m1.makeScale( x, y, z );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\tlookAt( vector ) {\n\n\t\t_obj.lookAt( vector );\n\n\t\t_obj.updateMatrix();\n\n\t\tthis.applyMatrix4( _obj.matrix );\n\n\t\treturn this;\n\n\t}\n\n\tcenter() {\n\n\t\tthis.computeBoundingBox();\n\n\t\tthis.boundingBox.getCenter( _offset ).negate();\n\n\t\tthis.translate( _offset.x, _offset.y, _offset.z );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tconst position = [];\n\n\t\tfor ( let i = 0, l = points.length; i < l; i ++ ) {\n\n\t\t\tconst point = points[ i ];\n\t\t\tposition.push( point.x, point.y, point.z || 0 );\n\n\t\t}\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( position, 3 ) );\n\n\t\treturn this;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tconst position = this.attributes.position;\n\t\tconst morphAttributesPosition = this.morphAttributes.position;\n\n\t\tif ( position && position.isGLBufferAttribute ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set \"mesh.frustumCulled\" to \"false\".', this );\n\n\t\t\tthis.boundingBox.set(\n\t\t\t\tnew Vector3( - Infinity, - Infinity, - Infinity ),\n\t\t\t\tnew Vector3( + Infinity, + Infinity, + Infinity )\n\t\t\t);\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( position !== undefined ) {\n\n\t\t\tthis.boundingBox.setFromBufferAttribute( position );\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\t_box$2.setFromBufferAttribute( morphAttribute );\n\n\t\t\t\t\tif ( this.morphTargetsRelative ) {\n\n\t\t\t\t\t\t_vector$8.addVectors( this.boundingBox.min, _box$2.min );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _vector$8 );\n\n\t\t\t\t\t\t_vector$8.addVectors( this.boundingBox.max, _box$2.max );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _vector$8 );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _box$2.min );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _box$2.max );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthis.boundingBox.makeEmpty();\n\n\t\t}\n\n\t\tif ( isNaN( this.boundingBox.min.x ) || isNaN( this.boundingBox.min.y ) || isNaN( this.boundingBox.min.z ) ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The \"position\" attribute is likely to have NaN values.', this );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tconst position = this.attributes.position;\n\t\tconst morphAttributesPosition = this.morphAttributes.position;\n\n\t\tif ( position && position.isGLBufferAttribute ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set \"mesh.frustumCulled\" to \"false\".', this );\n\n\t\t\tthis.boundingSphere.set( new Vector3(), Infinity );\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( position ) {\n\n\t\t\t// first, find the center of the bounding sphere\n\n\t\t\tconst center = this.boundingSphere.center;\n\n\t\t\t_box$2.setFromBufferAttribute( position );\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\t_boxMorphTargets.setFromBufferAttribute( morphAttribute );\n\n\t\t\t\t\tif ( this.morphTargetsRelative ) {\n\n\t\t\t\t\t\t_vector$8.addVectors( _box$2.min, _boxMorphTargets.min );\n\t\t\t\t\t\t_box$2.expandByPoint( _vector$8 );\n\n\t\t\t\t\t\t_vector$8.addVectors( _box$2.max, _boxMorphTargets.max );\n\t\t\t\t\t\t_box$2.expandByPoint( _vector$8 );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t_box$2.expandByPoint( _boxMorphTargets.min );\n\t\t\t\t\t\t_box$2.expandByPoint( _boxMorphTargets.max );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t_box$2.getCenter( center );\n\n\t\t\t// second, try to find a boundingSphere with a radius smaller than the\n\t\t\t// boundingSphere of the boundingBox: sqrt(3) smaller in the best case\n\n\t\t\tlet maxRadiusSq = 0;\n\n\t\t\tfor ( let i = 0, il = position.count; i < il; i ++ ) {\n\n\t\t\t\t_vector$8.fromBufferAttribute( position, i );\n\n\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( _vector$8 ) );\n\n\t\t\t}\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\tconst morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t\t\t\tfor ( let j = 0, jl = morphAttribute.count; j < jl; j ++ ) {\n\n\t\t\t\t\t\t_vector$8.fromBufferAttribute( morphAttribute, j );\n\n\t\t\t\t\t\tif ( morphTargetsRelative ) {\n\n\t\t\t\t\t\t\t_offset.fromBufferAttribute( position, j );\n\t\t\t\t\t\t\t_vector$8.add( _offset );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( _vector$8 ) );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.boundingSphere.radius = Math.sqrt( maxRadiusSq );\n\n\t\t\tif ( isNaN( this.boundingSphere.radius ) ) {\n\n\t\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The \"position\" attribute is likely to have NaN values.', this );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcomputeTangents() {\n\n\t\tconst index = this.index;\n\t\tconst attributes = this.attributes;\n\n\t\t// based on http://www.terathon.com/code/tangent.html\n\t\t// (per vertex tangents)\n\n\t\tif ( index === null ||\n\t\t\t attributes.position === undefined ||\n\t\t\t attributes.normal === undefined ||\n\t\t\t attributes.uv === undefined ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst indices = index.array;\n\t\tconst positions = attributes.position.array;\n\t\tconst normals = attributes.normal.array;\n\t\tconst uvs = attributes.uv.array;\n\n\t\tconst nVertices = positions.length / 3;\n\n\t\tif ( this.hasAttribute( 'tangent' ) === false ) {\n\n\t\t\tthis.setAttribute( 'tangent', new BufferAttribute( new Float32Array( 4 * nVertices ), 4 ) );\n\n\t\t}\n\n\t\tconst tangents = this.getAttribute( 'tangent' ).array;\n\n\t\tconst tan1 = [], tan2 = [];\n\n\t\tfor ( let i = 0; i < nVertices; i ++ ) {\n\n\t\t\ttan1[ i ] = new Vector3();\n\t\t\ttan2[ i ] = new Vector3();\n\n\t\t}\n\n\t\tconst vA = new Vector3(),\n\t\t\tvB = new Vector3(),\n\t\t\tvC = new Vector3(),\n\n\t\t\tuvA = new Vector2(),\n\t\t\tuvB = new Vector2(),\n\t\t\tuvC = new Vector2(),\n\n\t\t\tsdir = new Vector3(),\n\t\t\ttdir = new Vector3();\n\n\t\tfunction handleTriangle( a, b, c ) {\n\n\t\t\tvA.fromArray( positions, a * 3 );\n\t\t\tvB.fromArray( positions, b * 3 );\n\t\t\tvC.fromArray( positions, c * 3 );\n\n\t\t\tuvA.fromArray( uvs, a * 2 );\n\t\t\tuvB.fromArray( uvs, b * 2 );\n\t\t\tuvC.fromArray( uvs, c * 2 );\n\n\t\t\tvB.sub( vA );\n\t\t\tvC.sub( vA );\n\n\t\t\tuvB.sub( uvA );\n\t\t\tuvC.sub( uvA );\n\n\t\t\tconst r = 1.0 / ( uvB.x * uvC.y - uvC.x * uvB.y );\n\n\t\t\t// silently ignore degenerate uv triangles having coincident or colinear vertices\n\n\t\t\tif ( ! isFinite( r ) ) return;\n\n\t\t\tsdir.copy( vB ).multiplyScalar( uvC.y ).addScaledVector( vC, - uvB.y ).multiplyScalar( r );\n\t\t\ttdir.copy( vC ).multiplyScalar( uvB.x ).addScaledVector( vB, - uvC.x ).multiplyScalar( r );\n\n\t\t\ttan1[ a ].add( sdir );\n\t\t\ttan1[ b ].add( sdir );\n\t\t\ttan1[ c ].add( sdir );\n\n\t\t\ttan2[ a ].add( tdir );\n\t\t\ttan2[ b ].add( tdir );\n\t\t\ttan2[ c ].add( tdir );\n\n\t\t}\n\n\t\tlet groups = this.groups;\n\n\t\tif ( groups.length === 0 ) {\n\n\t\t\tgroups = [ {\n\t\t\t\tstart: 0,\n\t\t\t\tcount: indices.length\n\t\t\t} ];\n\n\t\t}\n\n\t\tfor ( let i = 0, il = groups.length; i < il; ++ i ) {\n\n\t\t\tconst group = groups[ i ];\n\n\t\t\tconst start = group.start;\n\t\t\tconst count = group.count;\n\n\t\t\tfor ( let j = start, jl = start + count; j < jl; j += 3 ) {\n\n\t\t\t\thandleTriangle(\n\t\t\t\t\tindices[ j + 0 ],\n\t\t\t\t\tindices[ j + 1 ],\n\t\t\t\t\tindices[ j + 2 ]\n\t\t\t\t);\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst tmp = new Vector3(), tmp2 = new Vector3();\n\t\tconst n = new Vector3(), n2 = new Vector3();\n\n\t\tfunction handleVertex( v ) {\n\n\t\t\tn.fromArray( normals, v * 3 );\n\t\t\tn2.copy( n );\n\n\t\t\tconst t = tan1[ v ];\n\n\t\t\t// Gram-Schmidt orthogonalize\n\n\t\t\ttmp.copy( t );\n\t\t\ttmp.sub( n.multiplyScalar( n.dot( t ) ) ).normalize();\n\n\t\t\t// Calculate handedness\n\n\t\t\ttmp2.crossVectors( n2, t );\n\t\t\tconst test = tmp2.dot( tan2[ v ] );\n\t\t\tconst w = ( test < 0.0 ) ? - 1.0 : 1.0;\n\n\t\t\ttangents[ v * 4 ] = tmp.x;\n\t\t\ttangents[ v * 4 + 1 ] = tmp.y;\n\t\t\ttangents[ v * 4 + 2 ] = tmp.z;\n\t\t\ttangents[ v * 4 + 3 ] = w;\n\n\t\t}\n\n\t\tfor ( let i = 0, il = groups.length; i < il; ++ i ) {\n\n\t\t\tconst group = groups[ i ];\n\n\t\t\tconst start = group.start;\n\t\t\tconst count = group.count;\n\n\t\t\tfor ( let j = start, jl = start + count; j < jl; j += 3 ) {\n\n\t\t\t\thandleVertex( indices[ j + 0 ] );\n\t\t\t\thandleVertex( indices[ j + 1 ] );\n\t\t\t\thandleVertex( indices[ j + 2 ] );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcomputeVertexNormals() {\n\n\t\tconst index = this.index;\n\t\tconst positionAttribute = this.getAttribute( 'position' );\n\n\t\tif ( positionAttribute !== undefined ) {\n\n\t\t\tlet normalAttribute = this.getAttribute( 'normal' );\n\n\t\t\tif ( normalAttribute === undefined ) {\n\n\t\t\t\tnormalAttribute = new BufferAttribute( new Float32Array( positionAttribute.count * 3 ), 3 );\n\t\t\t\tthis.setAttribute( 'normal', normalAttribute );\n\n\t\t\t} else {\n\n\t\t\t\t// reset existing normals to zero\n\n\t\t\t\tfor ( let i = 0, il = normalAttribute.count; i < il; i ++ ) {\n\n\t\t\t\t\tnormalAttribute.setXYZ( i, 0, 0, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst pA = new Vector3(), pB = new Vector3(), pC = new Vector3();\n\t\t\tconst nA = new Vector3(), nB = new Vector3(), nC = new Vector3();\n\t\t\tconst cb = new Vector3(), ab = new Vector3();\n\n\t\t\t// indexed elements\n\n\t\t\tif ( index ) {\n\n\t\t\t\tfor ( let i = 0, il = index.count; i < il; i += 3 ) {\n\n\t\t\t\t\tconst vA = index.getX( i + 0 );\n\t\t\t\t\tconst vB = index.getX( i + 1 );\n\t\t\t\t\tconst vC = index.getX( i + 2 );\n\n\t\t\t\t\tpA.fromBufferAttribute( positionAttribute, vA );\n\t\t\t\t\tpB.fromBufferAttribute( positionAttribute, vB );\n\t\t\t\t\tpC.fromBufferAttribute( positionAttribute, vC );\n\n\t\t\t\t\tcb.subVectors( pC, pB );\n\t\t\t\t\tab.subVectors( pA, pB );\n\t\t\t\t\tcb.cross( ab );\n\n\t\t\t\t\tnA.fromBufferAttribute( normalAttribute, vA );\n\t\t\t\t\tnB.fromBufferAttribute( normalAttribute, vB );\n\t\t\t\t\tnC.fromBufferAttribute( normalAttribute, vC );\n\n\t\t\t\t\tnA.add( cb );\n\t\t\t\t\tnB.add( cb );\n\t\t\t\t\tnC.add( cb );\n\n\t\t\t\t\tnormalAttribute.setXYZ( vA, nA.x, nA.y, nA.z );\n\t\t\t\t\tnormalAttribute.setXYZ( vB, nB.x, nB.y, nB.z );\n\t\t\t\t\tnormalAttribute.setXYZ( vC, nC.x, nC.y, nC.z );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// non-indexed elements (unconnected triangle soup)\n\n\t\t\t\tfor ( let i = 0, il = positionAttribute.count; i < il; i += 3 ) {\n\n\t\t\t\t\tpA.fromBufferAttribute( positionAttribute, i + 0 );\n\t\t\t\t\tpB.fromBufferAttribute( positionAttribute, i + 1 );\n\t\t\t\t\tpC.fromBufferAttribute( positionAttribute, i + 2 );\n\n\t\t\t\t\tcb.subVectors( pC, pB );\n\t\t\t\t\tab.subVectors( pA, pB );\n\t\t\t\t\tcb.cross( ab );\n\n\t\t\t\t\tnormalAttribute.setXYZ( i + 0, cb.x, cb.y, cb.z );\n\t\t\t\t\tnormalAttribute.setXYZ( i + 1, cb.x, cb.y, cb.z );\n\t\t\t\t\tnormalAttribute.setXYZ( i + 2, cb.x, cb.y, cb.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.normalizeNormals();\n\n\t\t\tnormalAttribute.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tnormalizeNormals() {\n\n\t\tconst normals = this.attributes.normal;\n\n\t\tfor ( let i = 0, il = normals.count; i < il; i ++ ) {\n\n\t\t\t_vector$8.fromBufferAttribute( normals, i );\n\n\t\t\t_vector$8.normalize();\n\n\t\t\tnormals.setXYZ( i, _vector$8.x, _vector$8.y, _vector$8.z );\n\n\t\t}\n\n\t}\n\n\ttoNonIndexed() {\n\n\t\tfunction convertBufferAttribute( attribute, indices ) {\n\n\t\t\tconst array = attribute.array;\n\t\t\tconst itemSize = attribute.itemSize;\n\t\t\tconst normalized = attribute.normalized;\n\n\t\t\tconst array2 = new array.constructor( indices.length * itemSize );\n\n\t\t\tlet index = 0, index2 = 0;\n\n\t\t\tfor ( let i = 0, l = indices.length; i < l; i ++ ) {\n\n\t\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\tindex = indices[ i ] * attribute.data.stride + attribute.offset;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tindex = indices[ i ] * itemSize;\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let j = 0; j < itemSize; j ++ ) {\n\n\t\t\t\t\tarray2[ index2 ++ ] = array[ index ++ ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn new BufferAttribute( array2, itemSize, normalized );\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.index === null ) {\n\n\t\t\tconsole.warn( 'THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed.' );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst geometry2 = new BufferGeometry();\n\n\t\tconst indices = this.index.array;\n\t\tconst attributes = this.attributes;\n\n\t\t// attributes\n\n\t\tfor ( const name in attributes ) {\n\n\t\t\tconst attribute = attributes[ name ];\n\n\t\t\tconst newAttribute = convertBufferAttribute( attribute, indices );\n\n\t\t\tgeometry2.setAttribute( name, newAttribute );\n\n\t\t}\n\n\t\t// morph attributes\n\n\t\tconst morphAttributes = this.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst morphArray = [];\n\t\t\tconst morphAttribute = morphAttributes[ name ]; // morphAttribute: array of Float32BufferAttributes\n\n\t\t\tfor ( let i = 0, il = morphAttribute.length; i < il; i ++ ) {\n\n\t\t\t\tconst attribute = morphAttribute[ i ];\n\n\t\t\t\tconst newAttribute = convertBufferAttribute( attribute, indices );\n\n\t\t\t\tmorphArray.push( newAttribute );\n\n\t\t\t}\n\n\t\t\tgeometry2.morphAttributes[ name ] = morphArray;\n\n\t\t}\n\n\t\tgeometry2.morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t// groups\n\n\t\tconst groups = this.groups;\n\n\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\tconst group = groups[ i ];\n\t\t\tgeometry2.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t}\n\n\t\treturn geometry2;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'BufferGeometry',\n\t\t\t\tgenerator: 'BufferGeometry.toJSON'\n\t\t\t}\n\t\t};\n\n\t\t// standard BufferGeometry serialization\n\n\t\tdata.uuid = this.uuid;\n\t\tdata.type = this.type;\n\t\tif ( this.name !== '' ) data.name = this.name;\n\t\tif ( Object.keys( this.userData ).length > 0 ) data.userData = this.userData;\n\n\t\tif ( this.parameters !== undefined ) {\n\n\t\t\tconst parameters = this.parameters;\n\n\t\t\tfor ( const key in parameters ) {\n\n\t\t\t\tif ( parameters[ key ] !== undefined ) data[ key ] = parameters[ key ];\n\n\t\t\t}\n\n\t\t\treturn data;\n\n\t\t}\n\n\t\t// for simplicity the code assumes attributes are not shared across geometries, see #15811\n\n\t\tdata.data = { attributes: {} };\n\n\t\tconst index = this.index;\n\n\t\tif ( index !== null ) {\n\n\t\t\tdata.data.index = {\n\t\t\t\ttype: index.array.constructor.name,\n\t\t\t\tarray: Array.prototype.slice.call( index.array )\n\t\t\t};\n\n\t\t}\n\n\t\tconst attributes = this.attributes;\n\n\t\tfor ( const key in attributes ) {\n\n\t\t\tconst attribute = attributes[ key ];\n\n\t\t\tdata.data.attributes[ key ] = attribute.toJSON( data.data );\n\n\t\t}\n\n\t\tconst morphAttributes = {};\n\t\tlet hasMorphAttributes = false;\n\n\t\tfor ( const key in this.morphAttributes ) {\n\n\t\t\tconst attributeArray = this.morphAttributes[ key ];\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0, il = attributeArray.length; i < il; i ++ ) {\n\n\t\t\t\tconst attribute = attributeArray[ i ];\n\n\t\t\t\tarray.push( attribute.toJSON( data.data ) );\n\n\t\t\t}\n\n\t\t\tif ( array.length > 0 ) {\n\n\t\t\t\tmorphAttributes[ key ] = array;\n\n\t\t\t\thasMorphAttributes = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( hasMorphAttributes ) {\n\n\t\t\tdata.data.morphAttributes = morphAttributes;\n\t\t\tdata.data.morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t}\n\n\t\tconst groups = this.groups;\n\n\t\tif ( groups.length > 0 ) {\n\n\t\t\tdata.data.groups = JSON.parse( JSON.stringify( groups ) );\n\n\t\t}\n\n\t\tconst boundingSphere = this.boundingSphere;\n\n\t\tif ( boundingSphere !== null ) {\n\n\t\t\tdata.data.boundingSphere = {\n\t\t\t\tcenter: boundingSphere.center.toArray(),\n\t\t\t\tradius: boundingSphere.radius\n\t\t\t};\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\t// reset\n\n\t\tthis.index = null;\n\t\tthis.attributes = {};\n\t\tthis.morphAttributes = {};\n\t\tthis.groups = [];\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\t// used for storing cloned, shared data\n\n\t\tconst data = {};\n\n\t\t// name\n\n\t\tthis.name = source.name;\n\n\t\t// index\n\n\t\tconst index = source.index;\n\n\t\tif ( index !== null ) {\n\n\t\t\tthis.setIndex( index.clone( data ) );\n\n\t\t}\n\n\t\t// attributes\n\n\t\tconst attributes = source.attributes;\n\n\t\tfor ( const name in attributes ) {\n\n\t\t\tconst attribute = attributes[ name ];\n\t\t\tthis.setAttribute( name, attribute.clone( data ) );\n\n\t\t}\n\n\t\t// morph attributes\n\n\t\tconst morphAttributes = source.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst array = [];\n\t\t\tconst morphAttribute = morphAttributes[ name ]; // morphAttribute: array of Float32BufferAttributes\n\n\t\t\tfor ( let i = 0, l = morphAttribute.length; i < l; i ++ ) {\n\n\t\t\t\tarray.push( morphAttribute[ i ].clone( data ) );\n\n\t\t\t}\n\n\t\t\tthis.morphAttributes[ name ] = array;\n\n\t\t}\n\n\t\tthis.morphTargetsRelative = source.morphTargetsRelative;\n\n\t\t// groups\n\n\t\tconst groups = source.groups;\n\n\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\tconst group = groups[ i ];\n\t\t\tthis.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t}\n\n\t\t// bounding box\n\n\t\tconst boundingBox = source.boundingBox;\n\n\t\tif ( boundingBox !== null ) {\n\n\t\t\tthis.boundingBox = boundingBox.clone();\n\n\t\t}\n\n\t\t// bounding sphere\n\n\t\tconst boundingSphere = source.boundingSphere;\n\n\t\tif ( boundingSphere !== null ) {\n\n\t\t\tthis.boundingSphere = boundingSphere.clone();\n\n\t\t}\n\n\t\t// draw range\n\n\t\tthis.drawRange.start = source.drawRange.start;\n\t\tthis.drawRange.count = source.drawRange.count;\n\n\t\t// user data\n\n\t\tthis.userData = source.userData;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nconst _inverseMatrix$3 = /*@__PURE__*/ new Matrix4();\nconst _ray$3 = /*@__PURE__*/ new Ray();\nconst _sphere$6 = /*@__PURE__*/ new Sphere();\nconst _sphereHitAt = /*@__PURE__*/ new Vector3();\n\nconst _vA$1 = /*@__PURE__*/ new Vector3();\nconst _vB$1 = /*@__PURE__*/ new Vector3();\nconst _vC$1 = /*@__PURE__*/ new Vector3();\n\nconst _tempA = /*@__PURE__*/ new Vector3();\nconst _morphA = /*@__PURE__*/ new Vector3();\n\nconst _uvA$1 = /*@__PURE__*/ new Vector2();\nconst _uvB$1 = /*@__PURE__*/ new Vector2();\nconst _uvC$1 = /*@__PURE__*/ new Vector2();\n\nconst _normalA = /*@__PURE__*/ new Vector3();\nconst _normalB = /*@__PURE__*/ new Vector3();\nconst _normalC = /*@__PURE__*/ new Vector3();\n\nconst _intersectionPoint = /*@__PURE__*/ new Vector3();\nconst _intersectionPointWorld = /*@__PURE__*/ new Vector3();\n\nclass Mesh extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new MeshBasicMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isMesh = true;\n\n\t\tthis.type = 'Mesh';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.morphTargetInfluences !== undefined ) {\n\n\t\t\tthis.morphTargetInfluences = source.morphTargetInfluences.slice();\n\n\t\t}\n\n\t\tif ( source.morphTargetDictionary !== undefined ) {\n\n\t\t\tthis.morphTargetDictionary = Object.assign( {}, source.morphTargetDictionary );\n\n\t\t}\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tgetVertexPosition( index, target ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst position = geometry.attributes.position;\n\t\tconst morphPosition = geometry.morphAttributes.position;\n\t\tconst morphTargetsRelative = geometry.morphTargetsRelative;\n\n\t\ttarget.fromBufferAttribute( position, index );\n\n\t\tconst morphInfluences = this.morphTargetInfluences;\n\n\t\tif ( morphPosition && morphInfluences ) {\n\n\t\t\t_morphA.set( 0, 0, 0 );\n\n\t\t\tfor ( let i = 0, il = morphPosition.length; i < il; i ++ ) {\n\n\t\t\t\tconst influence = morphInfluences[ i ];\n\t\t\t\tconst morphAttribute = morphPosition[ i ];\n\n\t\t\t\tif ( influence === 0 ) continue;\n\n\t\t\t\t_tempA.fromBufferAttribute( morphAttribute, index );\n\n\t\t\t\tif ( morphTargetsRelative ) {\n\n\t\t\t\t\t_morphA.addScaledVector( _tempA, influence );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_morphA.addScaledVector( _tempA.sub( target ), influence );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\ttarget.add( _morphA );\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst material = this.material;\n\t\tconst matrixWorld = this.matrixWorld;\n\n\t\tif ( material === undefined ) return;\n\n\t\t// test with bounding sphere in world space\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere$6.copy( geometry.boundingSphere );\n\t\t_sphere$6.applyMatrix4( matrixWorld );\n\n\t\t// check distance from ray origin to bounding sphere\n\n\t\t_ray$3.copy( raycaster.ray ).recast( raycaster.near );\n\n\t\tif ( _sphere$6.containsPoint( _ray$3.origin ) === false ) {\n\n\t\t\tif ( _ray$3.intersectSphere( _sphere$6, _sphereHitAt ) === null ) return;\n\n\t\t\tif ( _ray$3.origin.distanceToSquared( _sphereHitAt ) > ( raycaster.far - raycaster.near ) ** 2 ) return;\n\n\t\t}\n\n\t\t// convert ray to local space of mesh\n\n\t\t_inverseMatrix$3.copy( matrixWorld ).invert();\n\t\t_ray$3.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$3 );\n\n\t\t// test with bounding box in local space\n\n\t\tif ( geometry.boundingBox !== null ) {\n\n\t\t\tif ( _ray$3.intersectsBox( geometry.boundingBox ) === false ) return;\n\n\t\t}\n\n\t\t// test for intersections with geometry\n\n\t\tthis._computeIntersections( raycaster, intersects, _ray$3 );\n\n\t}\n\n\t_computeIntersections( raycaster, intersects, rayLocalSpace ) {\n\n\t\tlet intersection;\n\n\t\tconst geometry = this.geometry;\n\t\tconst material = this.material;\n\n\t\tconst index = geometry.index;\n\t\tconst position = geometry.attributes.position;\n\t\tconst uv = geometry.attributes.uv;\n\t\tconst uv1 = geometry.attributes.uv1;\n\t\tconst normal = geometry.attributes.normal;\n\t\tconst groups = geometry.groups;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\tif ( index !== null ) {\n\n\t\t\t// indexed buffer geometry\n\n\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\tfor ( let i = 0, il = groups.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\tconst start = Math.max( group.start, drawRange.start );\n\t\t\t\t\tconst end = Math.min( index.count, Math.min( ( group.start + group.count ), ( drawRange.start + drawRange.count ) ) );\n\n\t\t\t\t\tfor ( let j = start, jl = end; j < jl; j += 3 ) {\n\n\t\t\t\t\t\tconst a = index.getX( j );\n\t\t\t\t\t\tconst b = index.getX( j + 1 );\n\t\t\t\t\t\tconst c = index.getX( j + 2 );\n\n\t\t\t\t\t\tintersection = checkGeometryIntersection( this, groupMaterial, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\t\tintersection.faceIndex = Math.floor( j / 3 ); // triangle number in indexed buffer semantics\n\t\t\t\t\t\t\tintersection.face.materialIndex = group.materialIndex;\n\t\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\t\tfor ( let i = start, il = end; i < il; i += 3 ) {\n\n\t\t\t\t\tconst a = index.getX( i );\n\t\t\t\t\tconst b = index.getX( i + 1 );\n\t\t\t\t\tconst c = index.getX( i + 2 );\n\n\t\t\t\t\tintersection = checkGeometryIntersection( this, material, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\tintersection.faceIndex = Math.floor( i / 3 ); // triangle number in indexed buffer semantics\n\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else if ( position !== undefined ) {\n\n\t\t\t// non-indexed buffer geometry\n\n\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\tfor ( let i = 0, il = groups.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\tconst start = Math.max( group.start, drawRange.start );\n\t\t\t\t\tconst end = Math.min( position.count, Math.min( ( group.start + group.count ), ( drawRange.start + drawRange.count ) ) );\n\n\t\t\t\t\tfor ( let j = start, jl = end; j < jl; j += 3 ) {\n\n\t\t\t\t\t\tconst a = j;\n\t\t\t\t\t\tconst b = j + 1;\n\t\t\t\t\t\tconst c = j + 2;\n\n\t\t\t\t\t\tintersection = checkGeometryIntersection( this, groupMaterial, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\t\tintersection.faceIndex = Math.floor( j / 3 ); // triangle number in non-indexed buffer semantics\n\t\t\t\t\t\t\tintersection.face.materialIndex = group.materialIndex;\n\t\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\t\tconst end = Math.min( position.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\t\tfor ( let i = start, il = end; i < il; i += 3 ) {\n\n\t\t\t\t\tconst a = i;\n\t\t\t\t\tconst b = i + 1;\n\t\t\t\t\tconst c = i + 2;\n\n\t\t\t\t\tintersection = checkGeometryIntersection( this, material, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\tintersection.faceIndex = Math.floor( i / 3 ); // triangle number in non-indexed buffer semantics\n\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction checkIntersection( object, material, raycaster, ray, pA, pB, pC, point ) {\n\n\tlet intersect;\n\n\tif ( material.side === BackSide ) {\n\n\t\tintersect = ray.intersectTriangle( pC, pB, pA, true, point );\n\n\t} else {\n\n\t\tintersect = ray.intersectTriangle( pA, pB, pC, ( material.side === FrontSide ), point );\n\n\t}\n\n\tif ( intersect === null ) return null;\n\n\t_intersectionPointWorld.copy( point );\n\t_intersectionPointWorld.applyMatrix4( object.matrixWorld );\n\n\tconst distance = raycaster.ray.origin.distanceTo( _intersectionPointWorld );\n\n\tif ( distance < raycaster.near || distance > raycaster.far ) return null;\n\n\treturn {\n\t\tdistance: distance,\n\t\tpoint: _intersectionPointWorld.clone(),\n\t\tobject: object\n\t};\n\n}\n\nfunction checkGeometryIntersection( object, material, raycaster, ray, uv, uv1, normal, a, b, c ) {\n\n\tobject.getVertexPosition( a, _vA$1 );\n\tobject.getVertexPosition( b, _vB$1 );\n\tobject.getVertexPosition( c, _vC$1 );\n\n\tconst intersection = checkIntersection( object, material, raycaster, ray, _vA$1, _vB$1, _vC$1, _intersectionPoint );\n\n\tif ( intersection ) {\n\n\t\tif ( uv ) {\n\n\t\t\t_uvA$1.fromBufferAttribute( uv, a );\n\t\t\t_uvB$1.fromBufferAttribute( uv, b );\n\t\t\t_uvC$1.fromBufferAttribute( uv, c );\n\n\t\t\tintersection.uv = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _uvA$1, _uvB$1, _uvC$1, new Vector2() );\n\n\t\t}\n\n\t\tif ( uv1 ) {\n\n\t\t\t_uvA$1.fromBufferAttribute( uv1, a );\n\t\t\t_uvB$1.fromBufferAttribute( uv1, b );\n\t\t\t_uvC$1.fromBufferAttribute( uv1, c );\n\n\t\t\tintersection.uv1 = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _uvA$1, _uvB$1, _uvC$1, new Vector2() );\n\t\t\tintersection.uv2 = intersection.uv1; // @deprecated, r152\n\n\t\t}\n\n\t\tif ( normal ) {\n\n\t\t\t_normalA.fromBufferAttribute( normal, a );\n\t\t\t_normalB.fromBufferAttribute( normal, b );\n\t\t\t_normalC.fromBufferAttribute( normal, c );\n\n\t\t\tintersection.normal = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _normalA, _normalB, _normalC, new Vector3() );\n\n\t\t\tif ( intersection.normal.dot( ray.direction ) > 0 ) {\n\n\t\t\t\tintersection.normal.multiplyScalar( - 1 );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst face = {\n\t\t\ta: a,\n\t\t\tb: b,\n\t\t\tc: c,\n\t\t\tnormal: new Vector3(),\n\t\t\tmaterialIndex: 0\n\t\t};\n\n\t\tTriangle.getNormal( _vA$1, _vB$1, _vC$1, face.normal );\n\n\t\tintersection.face = face;\n\n\t}\n\n\treturn intersection;\n\n}\n\nclass BoxGeometry extends BufferGeometry {\n\n\tconstructor( width = 1, height = 1, depth = 1, widthSegments = 1, heightSegments = 1, depthSegments = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'BoxGeometry';\n\n\t\tthis.parameters = {\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t\tdepth: depth,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\tdepthSegments: depthSegments\n\t\t};\n\n\t\tconst scope = this;\n\n\t\t// segments\n\n\t\twidthSegments = Math.floor( widthSegments );\n\t\theightSegments = Math.floor( heightSegments );\n\t\tdepthSegments = Math.floor( depthSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet numberOfVertices = 0;\n\t\tlet groupStart = 0;\n\n\t\t// build each side of the box geometry\n\n\t\tbuildPlane( 'z', 'y', 'x', - 1, - 1, depth, height, width, depthSegments, heightSegments, 0 ); // px\n\t\tbuildPlane( 'z', 'y', 'x', 1, - 1, depth, height, - width, depthSegments, heightSegments, 1 ); // nx\n\t\tbuildPlane( 'x', 'z', 'y', 1, 1, width, depth, height, widthSegments, depthSegments, 2 ); // py\n\t\tbuildPlane( 'x', 'z', 'y', 1, - 1, width, depth, - height, widthSegments, depthSegments, 3 ); // ny\n\t\tbuildPlane( 'x', 'y', 'z', 1, - 1, width, height, depth, widthSegments, heightSegments, 4 ); // pz\n\t\tbuildPlane( 'x', 'y', 'z', - 1, - 1, width, height, - depth, widthSegments, heightSegments, 5 ); // nz\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\tfunction buildPlane( u, v, w, udir, vdir, width, height, depth, gridX, gridY, materialIndex ) {\n\n\t\t\tconst segmentWidth = width / gridX;\n\t\t\tconst segmentHeight = height / gridY;\n\n\t\t\tconst widthHalf = width / 2;\n\t\t\tconst heightHalf = height / 2;\n\t\t\tconst depthHalf = depth / 2;\n\n\t\t\tconst gridX1 = gridX + 1;\n\t\t\tconst gridY1 = gridY + 1;\n\n\t\t\tlet vertexCounter = 0;\n\t\t\tlet groupCount = 0;\n\n\t\t\tconst vector = new Vector3();\n\n\t\t\t// generate vertices, normals and uvs\n\n\t\t\tfor ( let iy = 0; iy < gridY1; iy ++ ) {\n\n\t\t\t\tconst y = iy * segmentHeight - heightHalf;\n\n\t\t\t\tfor ( let ix = 0; ix < gridX1; ix ++ ) {\n\n\t\t\t\t\tconst x = ix * segmentWidth - widthHalf;\n\n\t\t\t\t\t// set values to correct vector component\n\n\t\t\t\t\tvector[ u ] = x * udir;\n\t\t\t\t\tvector[ v ] = y * vdir;\n\t\t\t\t\tvector[ w ] = depthHalf;\n\n\t\t\t\t\t// now apply vector to vertex buffer\n\n\t\t\t\t\tvertices.push( vector.x, vector.y, vector.z );\n\n\t\t\t\t\t// set values to correct vector component\n\n\t\t\t\t\tvector[ u ] = 0;\n\t\t\t\t\tvector[ v ] = 0;\n\t\t\t\t\tvector[ w ] = depth > 0 ? 1 : - 1;\n\n\t\t\t\t\t// now apply vector to normal buffer\n\n\t\t\t\t\tnormals.push( vector.x, vector.y, vector.z );\n\n\t\t\t\t\t// uvs\n\n\t\t\t\t\tuvs.push( ix / gridX );\n\t\t\t\t\tuvs.push( 1 - ( iy / gridY ) );\n\n\t\t\t\t\t// counters\n\n\t\t\t\t\tvertexCounter += 1;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// indices\n\n\t\t\t// 1. you need three indices to draw a single face\n\t\t\t// 2. a single segment consists of two faces\n\t\t\t// 3. so we need to generate six (2*3) indices per segment\n\n\t\t\tfor ( let iy = 0; iy < gridY; iy ++ ) {\n\n\t\t\t\tfor ( let ix = 0; ix < gridX; ix ++ ) {\n\n\t\t\t\t\tconst a = numberOfVertices + ix + gridX1 * iy;\n\t\t\t\t\tconst b = numberOfVertices + ix + gridX1 * ( iy + 1 );\n\t\t\t\t\tconst c = numberOfVertices + ( ix + 1 ) + gridX1 * ( iy + 1 );\n\t\t\t\t\tconst d = numberOfVertices + ( ix + 1 ) + gridX1 * iy;\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t\t// increase counter\n\n\t\t\t\t\tgroupCount += 6;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, materialIndex );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t\t// update total number of vertices\n\n\t\t\tnumberOfVertices += vertexCounter;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new BoxGeometry( data.width, data.height, data.depth, data.widthSegments, data.heightSegments, data.depthSegments );\n\n\t}\n\n}\n\n/**\n * Uniform Utilities\n */\n\nfunction cloneUniforms( src ) {\n\n\tconst dst = {};\n\n\tfor ( const u in src ) {\n\n\t\tdst[ u ] = {};\n\n\t\tfor ( const p in src[ u ] ) {\n\n\t\t\tconst property = src[ u ][ p ];\n\n\t\t\tif ( property && ( property.isColor ||\n\t\t\t\tproperty.isMatrix3 || property.isMatrix4 ||\n\t\t\t\tproperty.isVector2 || property.isVector3 || property.isVector4 ||\n\t\t\t\tproperty.isTexture || property.isQuaternion ) ) {\n\n\t\t\t\tif ( property.isRenderTargetTexture ) {\n\n\t\t\t\t\tconsole.warn( 'UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms().' );\n\t\t\t\t\tdst[ u ][ p ] = null;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tdst[ u ][ p ] = property.clone();\n\n\t\t\t\t}\n\n\t\t\t} else if ( Array.isArray( property ) ) {\n\n\t\t\t\tdst[ u ][ p ] = property.slice();\n\n\t\t\t} else {\n\n\t\t\t\tdst[ u ][ p ] = property;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\treturn dst;\n\n}\n\nfunction mergeUniforms( uniforms ) {\n\n\tconst merged = {};\n\n\tfor ( let u = 0; u < uniforms.length; u ++ ) {\n\n\t\tconst tmp = cloneUniforms( uniforms[ u ] );\n\n\t\tfor ( const p in tmp ) {\n\n\t\t\tmerged[ p ] = tmp[ p ];\n\n\t\t}\n\n\t}\n\n\treturn merged;\n\n}\n\nfunction cloneUniformsGroups( src ) {\n\n\tconst dst = [];\n\n\tfor ( let u = 0; u < src.length; u ++ ) {\n\n\t\tdst.push( src[ u ].clone() );\n\n\t}\n\n\treturn dst;\n\n}\n\nfunction getUnlitUniformColorSpace( renderer ) {\n\n\tif ( renderer.getRenderTarget() === null ) {\n\n\t\t// https://github.com/mrdoob/three.js/pull/23937#issuecomment-1111067398\n\t\treturn renderer.outputColorSpace;\n\n\t}\n\n\treturn ColorManagement.workingColorSpace;\n\n}\n\n// Legacy\n\nconst UniformsUtils = { clone: cloneUniforms, merge: mergeUniforms };\n\nvar default_vertex = \"void main() {\\n\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\n}\";\n\nvar default_fragment = \"void main() {\\n\\tgl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );\\n}\";\n\nclass ShaderMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isShaderMaterial = true;\n\n\t\tthis.type = 'ShaderMaterial';\n\n\t\tthis.defines = {};\n\t\tthis.uniforms = {};\n\t\tthis.uniformsGroups = [];\n\n\t\tthis.vertexShader = default_vertex;\n\t\tthis.fragmentShader = default_fragment;\n\n\t\tthis.linewidth = 1;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.fog = false; // set to use scene fog\n\t\tthis.lights = false; // set to use scene lights\n\t\tthis.clipping = false; // set to use user-defined clipping planes\n\n\t\tthis.forceSinglePass = true;\n\n\t\tthis.extensions = {\n\t\t\tderivatives: false, // set to use derivatives\n\t\t\tfragDepth: false, // set to use fragment depth values\n\t\t\tdrawBuffers: false, // set to use draw buffers\n\t\t\tshaderTextureLOD: false, // set to use shader texture LOD\n\t\t\tclipCullDistance: false // set to use vertex shader clipping\n\t\t};\n\n\t\t// When rendered geometry doesn't include these attributes but the material does,\n\t\t// use these default values in WebGL. This avoids errors when buffer data is missing.\n\t\tthis.defaultAttributeValues = {\n\t\t\t'color': [ 1, 1, 1 ],\n\t\t\t'uv': [ 0, 0 ],\n\t\t\t'uv1': [ 0, 0 ]\n\t\t};\n\n\t\tthis.index0AttributeName = undefined;\n\t\tthis.uniformsNeedUpdate = false;\n\n\t\tthis.glslVersion = null;\n\n\t\tif ( parameters !== undefined ) {\n\n\t\t\tthis.setValues( parameters );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.fragmentShader = source.fragmentShader;\n\t\tthis.vertexShader = source.vertexShader;\n\n\t\tthis.uniforms = cloneUniforms( source.uniforms );\n\t\tthis.uniformsGroups = cloneUniformsGroups( source.uniformsGroups );\n\n\t\tthis.defines = Object.assign( {}, source.defines );\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\tthis.fog = source.fog;\n\t\tthis.lights = source.lights;\n\t\tthis.clipping = source.clipping;\n\n\t\tthis.extensions = Object.assign( {}, source.extensions );\n\n\t\tthis.glslVersion = source.glslVersion;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.glslVersion = this.glslVersion;\n\t\tdata.uniforms = {};\n\n\t\tfor ( const name in this.uniforms ) {\n\n\t\t\tconst uniform = this.uniforms[ name ];\n\t\t\tconst value = uniform.value;\n\n\t\t\tif ( value && value.isTexture ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 't',\n\t\t\t\t\tvalue: value.toJSON( meta ).uuid\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isColor ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'c',\n\t\t\t\t\tvalue: value.getHex()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector2 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v2',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector3 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v3',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector4 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v4',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isMatrix3 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'm3',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isMatrix4 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'm4',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\tvalue: value\n\t\t\t\t};\n\n\t\t\t\t// note: the array variants v2v, v3v, v4v, m4v and tv are not supported so far\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( Object.keys( this.defines ).length > 0 ) data.defines = this.defines;\n\n\t\tdata.vertexShader = this.vertexShader;\n\t\tdata.fragmentShader = this.fragmentShader;\n\n\t\tdata.lights = this.lights;\n\t\tdata.clipping = this.clipping;\n\n\t\tconst extensions = {};\n\n\t\tfor ( const key in this.extensions ) {\n\n\t\t\tif ( this.extensions[ key ] === true ) extensions[ key ] = true;\n\n\t\t}\n\n\t\tif ( Object.keys( extensions ).length > 0 ) data.extensions = extensions;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass Camera extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isCamera = true;\n\n\t\tthis.type = 'Camera';\n\n\t\tthis.matrixWorldInverse = new Matrix4();\n\n\t\tthis.projectionMatrix = new Matrix4();\n\t\tthis.projectionMatrixInverse = new Matrix4();\n\n\t\tthis.coordinateSystem = WebGLCoordinateSystem;\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.matrixWorldInverse.copy( source.matrixWorldInverse );\n\n\t\tthis.projectionMatrix.copy( source.projectionMatrix );\n\t\tthis.projectionMatrixInverse.copy( source.projectionMatrixInverse );\n\n\t\tthis.coordinateSystem = source.coordinateSystem;\n\n\t\treturn this;\n\n\t}\n\n\tgetWorldDirection( target ) {\n\n\t\treturn super.getWorldDirection( target ).negate();\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tthis.matrixWorldInverse.copy( this.matrixWorld ).invert();\n\n\t}\n\n\tupdateWorldMatrix( updateParents, updateChildren ) {\n\n\t\tsuper.updateWorldMatrix( updateParents, updateChildren );\n\n\t\tthis.matrixWorldInverse.copy( this.matrixWorld ).invert();\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass PerspectiveCamera extends Camera {\n\n\tconstructor( fov = 50, aspect = 1, near = 0.1, far = 2000 ) {\n\n\t\tsuper();\n\n\t\tthis.isPerspectiveCamera = true;\n\n\t\tthis.type = 'PerspectiveCamera';\n\n\t\tthis.fov = fov;\n\t\tthis.zoom = 1;\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\t\tthis.focus = 10;\n\n\t\tthis.aspect = aspect;\n\t\tthis.view = null;\n\n\t\tthis.filmGauge = 35;\t// width of the film (default in millimeters)\n\t\tthis.filmOffset = 0;\t// horizontal film offset (same unit as gauge)\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.fov = source.fov;\n\t\tthis.zoom = source.zoom;\n\n\t\tthis.near = source.near;\n\t\tthis.far = source.far;\n\t\tthis.focus = source.focus;\n\n\t\tthis.aspect = source.aspect;\n\t\tthis.view = source.view === null ? null : Object.assign( {}, source.view );\n\n\t\tthis.filmGauge = source.filmGauge;\n\t\tthis.filmOffset = source.filmOffset;\n\n\t\treturn this;\n\n\t}\n\n\t/**\n\t * Sets the FOV by focal length in respect to the current .filmGauge.\n\t *\n\t * The default film gauge is 35, so that the focal length can be specified for\n\t * a 35mm (full frame) camera.\n\t *\n\t * Values for focal length and film gauge must have the same unit.\n\t */\n\tsetFocalLength( focalLength ) {\n\n\t\t/** see {@link http://www.bobatkins.com/photography/technical/field_of_view.html} */\n\t\tconst vExtentSlope = 0.5 * this.getFilmHeight() / focalLength;\n\n\t\tthis.fov = RAD2DEG * 2 * Math.atan( vExtentSlope );\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\t/**\n\t * Calculates the focal length from the current .fov and .filmGauge.\n\t */\n\tgetFocalLength() {\n\n\t\tconst vExtentSlope = Math.tan( DEG2RAD * 0.5 * this.fov );\n\n\t\treturn 0.5 * this.getFilmHeight() / vExtentSlope;\n\n\t}\n\n\tgetEffectiveFOV() {\n\n\t\treturn RAD2DEG * 2 * Math.atan(\n\t\t\tMath.tan( DEG2RAD * 0.5 * this.fov ) / this.zoom );\n\n\t}\n\n\tgetFilmWidth() {\n\n\t\t// film not completely covered in portrait format (aspect < 1)\n\t\treturn this.filmGauge * Math.min( this.aspect, 1 );\n\n\t}\n\n\tgetFilmHeight() {\n\n\t\t// film not completely covered in landscape format (aspect > 1)\n\t\treturn this.filmGauge / Math.max( this.aspect, 1 );\n\n\t}\n\n\t/**\n\t * Sets an offset in a larger frustum. This is useful for multi-window or\n\t * multi-monitor/multi-machine setups.\n\t *\n\t * For example, if you have 3x2 monitors and each monitor is 1920x1080 and\n\t * the monitors are in grid like this\n\t *\n\t * +---+---+---+\n\t * | A | B | C |\n\t * +---+---+---+\n\t * | D | E | F |\n\t * +---+---+---+\n\t *\n\t * then for each monitor you would call it like this\n\t *\n\t * const w = 1920;\n\t * const h = 1080;\n\t * const fullWidth = w * 3;\n\t * const fullHeight = h * 2;\n\t *\n\t * --A--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h );\n\t * --B--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h );\n\t * --C--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h );\n\t * --D--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h );\n\t * --E--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h );\n\t * --F--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h );\n\t *\n\t * Note there is no reason monitors have to be the same size or in a grid.\n\t */\n\tsetViewOffset( fullWidth, fullHeight, x, y, width, height ) {\n\n\t\tthis.aspect = fullWidth / fullHeight;\n\n\t\tif ( this.view === null ) {\n\n\t\t\tthis.view = {\n\t\t\t\tenabled: true,\n\t\t\t\tfullWidth: 1,\n\t\t\t\tfullHeight: 1,\n\t\t\t\toffsetX: 0,\n\t\t\t\toffsetY: 0,\n\t\t\t\twidth: 1,\n\t\t\t\theight: 1\n\t\t\t};\n\n\t\t}\n\n\t\tthis.view.enabled = true;\n\t\tthis.view.fullWidth = fullWidth;\n\t\tthis.view.fullHeight = fullHeight;\n\t\tthis.view.offsetX = x;\n\t\tthis.view.offsetY = y;\n\t\tthis.view.width = width;\n\t\tthis.view.height = height;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tclearViewOffset() {\n\n\t\tif ( this.view !== null ) {\n\n\t\t\tthis.view.enabled = false;\n\n\t\t}\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tupdateProjectionMatrix() {\n\n\t\tconst near = this.near;\n\t\tlet top = near * Math.tan( DEG2RAD * 0.5 * this.fov ) / this.zoom;\n\t\tlet height = 2 * top;\n\t\tlet width = this.aspect * height;\n\t\tlet left = - 0.5 * width;\n\t\tconst view = this.view;\n\n\t\tif ( this.view !== null && this.view.enabled ) {\n\n\t\t\tconst fullWidth = view.fullWidth,\n\t\t\t\tfullHeight = view.fullHeight;\n\n\t\t\tleft += view.offsetX * width / fullWidth;\n\t\t\ttop -= view.offsetY * height / fullHeight;\n\t\t\twidth *= view.width / fullWidth;\n\t\t\theight *= view.height / fullHeight;\n\n\t\t}\n\n\t\tconst skew = this.filmOffset;\n\t\tif ( skew !== 0 ) left += near * skew / this.getFilmWidth();\n\n\t\tthis.projectionMatrix.makePerspective( left, left + width, top, top - height, near, this.far, this.coordinateSystem );\n\n\t\tthis.projectionMatrixInverse.copy( this.projectionMatrix ).invert();\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.fov = this.fov;\n\t\tdata.object.zoom = this.zoom;\n\n\t\tdata.object.near = this.near;\n\t\tdata.object.far = this.far;\n\t\tdata.object.focus = this.focus;\n\n\t\tdata.object.aspect = this.aspect;\n\n\t\tif ( this.view !== null ) data.object.view = Object.assign( {}, this.view );\n\n\t\tdata.object.filmGauge = this.filmGauge;\n\t\tdata.object.filmOffset = this.filmOffset;\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst fov = - 90; // negative fov is not an error\nconst aspect = 1;\n\nclass CubeCamera extends Object3D {\n\n\tconstructor( near, far, renderTarget ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CubeCamera';\n\n\t\tthis.renderTarget = renderTarget;\n\t\tthis.coordinateSystem = null;\n\t\tthis.activeMipmapLevel = 0;\n\n\t\tconst cameraPX = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPX.layers = this.layers;\n\t\tthis.add( cameraPX );\n\n\t\tconst cameraNX = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNX.layers = this.layers;\n\t\tthis.add( cameraNX );\n\n\t\tconst cameraPY = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPY.layers = this.layers;\n\t\tthis.add( cameraPY );\n\n\t\tconst cameraNY = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNY.layers = this.layers;\n\t\tthis.add( cameraNY );\n\n\t\tconst cameraPZ = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPZ.layers = this.layers;\n\t\tthis.add( cameraPZ );\n\n\t\tconst cameraNZ = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNZ.layers = this.layers;\n\t\tthis.add( cameraNZ );\n\n\t}\n\n\tupdateCoordinateSystem() {\n\n\t\tconst coordinateSystem = this.coordinateSystem;\n\n\t\tconst cameras = this.children.concat();\n\n\t\tconst [ cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ ] = cameras;\n\n\t\tfor ( const camera of cameras ) this.remove( camera );\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tcameraPX.up.set( 0, 1, 0 );\n\t\t\tcameraPX.lookAt( 1, 0, 0 );\n\n\t\t\tcameraNX.up.set( 0, 1, 0 );\n\t\t\tcameraNX.lookAt( - 1, 0, 0 );\n\n\t\t\tcameraPY.up.set( 0, 0, - 1 );\n\t\t\tcameraPY.lookAt( 0, 1, 0 );\n\n\t\t\tcameraNY.up.set( 0, 0, 1 );\n\t\t\tcameraNY.lookAt( 0, - 1, 0 );\n\n\t\t\tcameraPZ.up.set( 0, 1, 0 );\n\t\t\tcameraPZ.lookAt( 0, 0, 1 );\n\n\t\t\tcameraNZ.up.set( 0, 1, 0 );\n\t\t\tcameraNZ.lookAt( 0, 0, - 1 );\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tcameraPX.up.set( 0, - 1, 0 );\n\t\t\tcameraPX.lookAt( - 1, 0, 0 );\n\n\t\t\tcameraNX.up.set( 0, - 1, 0 );\n\t\t\tcameraNX.lookAt( 1, 0, 0 );\n\n\t\t\tcameraPY.up.set( 0, 0, 1 );\n\t\t\tcameraPY.lookAt( 0, 1, 0 );\n\n\t\t\tcameraNY.up.set( 0, 0, - 1 );\n\t\t\tcameraNY.lookAt( 0, - 1, 0 );\n\n\t\t\tcameraPZ.up.set( 0, - 1, 0 );\n\t\t\tcameraPZ.lookAt( 0, 0, 1 );\n\n\t\t\tcameraNZ.up.set( 0, - 1, 0 );\n\t\t\tcameraNZ.lookAt( 0, 0, - 1 );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tfor ( const camera of cameras ) {\n\n\t\t\tthis.add( camera );\n\n\t\t\tcamera.updateMatrixWorld();\n\n\t\t}\n\n\t}\n\n\tupdate( renderer, scene ) {\n\n\t\tif ( this.parent === null ) this.updateMatrixWorld();\n\n\t\tconst { renderTarget, activeMipmapLevel } = this;\n\n\t\tif ( this.coordinateSystem !== renderer.coordinateSystem ) {\n\n\t\t\tthis.coordinateSystem = renderer.coordinateSystem;\n\n\t\t\tthis.updateCoordinateSystem();\n\n\t\t}\n\n\t\tconst [ cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ ] = this.children;\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\t\tconst currentActiveCubeFace = renderer.getActiveCubeFace();\n\t\tconst currentActiveMipmapLevel = renderer.getActiveMipmapLevel();\n\n\t\tconst currentXrEnabled = renderer.xr.enabled;\n\n\t\trenderer.xr.enabled = false;\n\n\t\tconst generateMipmaps = renderTarget.texture.generateMipmaps;\n\n\t\trenderTarget.texture.generateMipmaps = false;\n\n\t\trenderer.setRenderTarget( renderTarget, 0, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPX );\n\n\t\trenderer.setRenderTarget( renderTarget, 1, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNX );\n\n\t\trenderer.setRenderTarget( renderTarget, 2, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPY );\n\n\t\trenderer.setRenderTarget( renderTarget, 3, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNY );\n\n\t\trenderer.setRenderTarget( renderTarget, 4, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPZ );\n\n\t\t// mipmaps are generated during the last call of render()\n\t\t// at this point, all sides of the cube render target are defined\n\n\t\trenderTarget.texture.generateMipmaps = generateMipmaps;\n\n\t\trenderer.setRenderTarget( renderTarget, 5, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNZ );\n\n\t\trenderer.setRenderTarget( currentRenderTarget, currentActiveCubeFace, currentActiveMipmapLevel );\n\n\t\trenderer.xr.enabled = currentXrEnabled;\n\n\t\trenderTarget.texture.needsPMREMUpdate = true;\n\n\t}\n\n}\n\nclass CubeTexture extends Texture {\n\n\tconstructor( images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace ) {\n\n\t\timages = images !== undefined ? images : [];\n\t\tmapping = mapping !== undefined ? mapping : CubeReflectionMapping;\n\n\t\tsuper( images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isCubeTexture = true;\n\n\t\tthis.flipY = false;\n\n\t}\n\n\tget images() {\n\n\t\treturn this.image;\n\n\t}\n\n\tset images( value ) {\n\n\t\tthis.image = value;\n\n\t}\n\n}\n\nclass WebGLCubeRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( size = 1, options = {} ) {\n\n\t\tsuper( size, size, options );\n\n\t\tthis.isWebGLCubeRenderTarget = true;\n\n\t\tconst image = { width: size, height: size, depth: 1 };\n\t\tconst images = [ image, image, image, image, image, image ];\n\n\t\tif ( options.encoding !== undefined ) {\n\n\t\t\t// @deprecated, r152\n\t\t\twarnOnce( 'THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace.' );\n\t\t\toptions.colorSpace = options.encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\t\tthis.texture = new CubeTexture( images, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.colorSpace );\n\n\t\t// By convention -- likely based on the RenderMan spec from the 1990's -- cube maps are specified by WebGL (and three.js)\n\t\t// in a coordinate system in which positive-x is to the right when looking up the positive-z axis -- in other words,\n\t\t// in a left-handed coordinate system. By continuing this convention, preexisting cube maps continued to render correctly.\n\n\t\t// three.js uses a right-handed coordinate system. So environment maps used in three.js appear to have px and nx swapped\n\t\t// and the flag isRenderTargetTexture controls this conversion. The flip is not required when using WebGLCubeRenderTarget.texture\n\t\t// as a cube texture (this is detected when isRenderTargetTexture is set to true for cube textures).\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\tthis.texture.generateMipmaps = options.generateMipmaps !== undefined ? options.generateMipmaps : false;\n\t\tthis.texture.minFilter = options.minFilter !== undefined ? options.minFilter : LinearFilter;\n\n\t}\n\n\tfromEquirectangularTexture( renderer, texture ) {\n\n\t\tthis.texture.type = texture.type;\n\t\tthis.texture.colorSpace = texture.colorSpace;\n\n\t\tthis.texture.generateMipmaps = texture.generateMipmaps;\n\t\tthis.texture.minFilter = texture.minFilter;\n\t\tthis.texture.magFilter = texture.magFilter;\n\n\t\tconst shader = {\n\n\t\t\tuniforms: {\n\t\t\t\ttEquirect: { value: null },\n\t\t\t},\n\n\t\t\tvertexShader: /* glsl */`\n\n\t\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t\tvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\n\t\t\t\t\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvWorldDirection = transformDirection( position, modelMatrix );\n\n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\n\t\t\t\t}\n\t\t\t`,\n\n\t\t\tfragmentShader: /* glsl */`\n\n\t\t\t\tuniform sampler2D tEquirect;\n\n\t\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t\t#include \n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvec3 direction = normalize( vWorldDirection );\n\n\t\t\t\t\tvec2 sampleUV = equirectUv( direction );\n\n\t\t\t\t\tgl_FragColor = texture2D( tEquirect, sampleUV );\n\n\t\t\t\t}\n\t\t\t`\n\t\t};\n\n\t\tconst geometry = new BoxGeometry( 5, 5, 5 );\n\n\t\tconst material = new ShaderMaterial( {\n\n\t\t\tname: 'CubemapFromEquirect',\n\n\t\t\tuniforms: cloneUniforms( shader.uniforms ),\n\t\t\tvertexShader: shader.vertexShader,\n\t\t\tfragmentShader: shader.fragmentShader,\n\t\t\tside: BackSide,\n\t\t\tblending: NoBlending\n\n\t\t} );\n\n\t\tmaterial.uniforms.tEquirect.value = texture;\n\n\t\tconst mesh = new Mesh( geometry, material );\n\n\t\tconst currentMinFilter = texture.minFilter;\n\n\t\t// Avoid blurred poles\n\t\tif ( texture.minFilter === LinearMipmapLinearFilter ) texture.minFilter = LinearFilter;\n\n\t\tconst camera = new CubeCamera( 1, 10, this );\n\t\tcamera.update( renderer, mesh );\n\n\t\ttexture.minFilter = currentMinFilter;\n\n\t\tmesh.geometry.dispose();\n\t\tmesh.material.dispose();\n\n\t\treturn this;\n\n\t}\n\n\tclear( renderer, color, depth, stencil ) {\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\trenderer.setRenderTarget( this, i );\n\n\t\t\trenderer.clear( color, depth, stencil );\n\n\t\t}\n\n\t\trenderer.setRenderTarget( currentRenderTarget );\n\n\t}\n\n}\n\nconst _vector1 = /*@__PURE__*/ new Vector3();\nconst _vector2 = /*@__PURE__*/ new Vector3();\nconst _normalMatrix = /*@__PURE__*/ new Matrix3();\n\nclass Plane {\n\n\tconstructor( normal = new Vector3( 1, 0, 0 ), constant = 0 ) {\n\n\t\tthis.isPlane = true;\n\n\t\t// normal is assumed to be normalized\n\n\t\tthis.normal = normal;\n\t\tthis.constant = constant;\n\n\t}\n\n\tset( normal, constant ) {\n\n\t\tthis.normal.copy( normal );\n\t\tthis.constant = constant;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponents( x, y, z, w ) {\n\n\t\tthis.normal.set( x, y, z );\n\t\tthis.constant = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromNormalAndCoplanarPoint( normal, point ) {\n\n\t\tthis.normal.copy( normal );\n\t\tthis.constant = - point.dot( this.normal );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCoplanarPoints( a, b, c ) {\n\n\t\tconst normal = _vector1.subVectors( c, b ).cross( _vector2.subVectors( a, b ) ).normalize();\n\n\t\t// Q: should an error be thrown if normal is zero (e.g. degenerate plane)?\n\n\t\tthis.setFromNormalAndCoplanarPoint( normal, a );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( plane ) {\n\n\t\tthis.normal.copy( plane.normal );\n\t\tthis.constant = plane.constant;\n\n\t\treturn this;\n\n\t}\n\n\tnormalize() {\n\n\t\t// Note: will lead to a divide by zero if the plane is invalid.\n\n\t\tconst inverseNormalLength = 1.0 / this.normal.length();\n\t\tthis.normal.multiplyScalar( inverseNormalLength );\n\t\tthis.constant *= inverseNormalLength;\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.constant *= - 1;\n\t\tthis.normal.negate();\n\n\t\treturn this;\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.normal.dot( point ) + this.constant;\n\n\t}\n\n\tdistanceToSphere( sphere ) {\n\n\t\treturn this.distanceToPoint( sphere.center ) - sphere.radius;\n\n\t}\n\n\tprojectPoint( point, target ) {\n\n\t\treturn target.copy( point ).addScaledVector( this.normal, - this.distanceToPoint( point ) );\n\n\t}\n\n\tintersectLine( line, target ) {\n\n\t\tconst direction = line.delta( _vector1 );\n\n\t\tconst denominator = this.normal.dot( direction );\n\n\t\tif ( denominator === 0 ) {\n\n\t\t\t// line is coplanar, return origin\n\t\t\tif ( this.distanceToPoint( line.start ) === 0 ) {\n\n\t\t\t\treturn target.copy( line.start );\n\n\t\t\t}\n\n\t\t\t// Unsure if this is the correct method to handle this case.\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst t = - ( line.start.dot( this.normal ) + this.constant ) / denominator;\n\n\t\tif ( t < 0 || t > 1 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn target.copy( line.start ).addScaledVector( direction, t );\n\n\t}\n\n\tintersectsLine( line ) {\n\n\t\t// Note: this tests if a line intersects the plane, not whether it (or its end-points) are coplanar with it.\n\n\t\tconst startSign = this.distanceToPoint( line.start );\n\t\tconst endSign = this.distanceToPoint( line.end );\n\n\t\treturn ( startSign < 0 && endSign > 0 ) || ( endSign < 0 && startSign > 0 );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsPlane( this );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\treturn sphere.intersectsPlane( this );\n\n\t}\n\n\tcoplanarPoint( target ) {\n\n\t\treturn target.copy( this.normal ).multiplyScalar( - this.constant );\n\n\t}\n\n\tapplyMatrix4( matrix, optionalNormalMatrix ) {\n\n\t\tconst normalMatrix = optionalNormalMatrix || _normalMatrix.getNormalMatrix( matrix );\n\n\t\tconst referencePoint = this.coplanarPoint( _vector1 ).applyMatrix4( matrix );\n\n\t\tconst normal = this.normal.applyMatrix3( normalMatrix ).normalize();\n\n\t\tthis.constant = - referencePoint.dot( normal );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.constant -= offset.dot( this.normal );\n\n\t\treturn this;\n\n\t}\n\n\tequals( plane ) {\n\n\t\treturn plane.normal.equals( this.normal ) && ( plane.constant === this.constant );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _sphere$5 = /*@__PURE__*/ new Sphere();\nconst _vector$7 = /*@__PURE__*/ new Vector3();\n\nclass Frustum {\n\n\tconstructor( p0 = new Plane(), p1 = new Plane(), p2 = new Plane(), p3 = new Plane(), p4 = new Plane(), p5 = new Plane() ) {\n\n\t\tthis.planes = [ p0, p1, p2, p3, p4, p5 ];\n\n\t}\n\n\tset( p0, p1, p2, p3, p4, p5 ) {\n\n\t\tconst planes = this.planes;\n\n\t\tplanes[ 0 ].copy( p0 );\n\t\tplanes[ 1 ].copy( p1 );\n\t\tplanes[ 2 ].copy( p2 );\n\t\tplanes[ 3 ].copy( p3 );\n\t\tplanes[ 4 ].copy( p4 );\n\t\tplanes[ 5 ].copy( p5 );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( frustum ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tplanes[ i ].copy( frustum.planes[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromProjectionMatrix( m, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst planes = this.planes;\n\t\tconst me = m.elements;\n\t\tconst me0 = me[ 0 ], me1 = me[ 1 ], me2 = me[ 2 ], me3 = me[ 3 ];\n\t\tconst me4 = me[ 4 ], me5 = me[ 5 ], me6 = me[ 6 ], me7 = me[ 7 ];\n\t\tconst me8 = me[ 8 ], me9 = me[ 9 ], me10 = me[ 10 ], me11 = me[ 11 ];\n\t\tconst me12 = me[ 12 ], me13 = me[ 13 ], me14 = me[ 14 ], me15 = me[ 15 ];\n\n\t\tplanes[ 0 ].setComponents( me3 - me0, me7 - me4, me11 - me8, me15 - me12 ).normalize();\n\t\tplanes[ 1 ].setComponents( me3 + me0, me7 + me4, me11 + me8, me15 + me12 ).normalize();\n\t\tplanes[ 2 ].setComponents( me3 + me1, me7 + me5, me11 + me9, me15 + me13 ).normalize();\n\t\tplanes[ 3 ].setComponents( me3 - me1, me7 - me5, me11 - me9, me15 - me13 ).normalize();\n\t\tplanes[ 4 ].setComponents( me3 - me2, me7 - me6, me11 - me10, me15 - me14 ).normalize();\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tplanes[ 5 ].setComponents( me3 + me2, me7 + me6, me11 + me10, me15 + me14 ).normalize();\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tplanes[ 5 ].setComponents( me2, me6, me10, me14 ).normalize();\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tintersectsObject( object ) {\n\n\t\tif ( object.boundingSphere !== undefined ) {\n\n\t\t\tif ( object.boundingSphere === null ) object.computeBoundingSphere();\n\n\t\t\t_sphere$5.copy( object.boundingSphere ).applyMatrix4( object.matrixWorld );\n\n\t\t} else {\n\n\t\t\tconst geometry = object.geometry;\n\n\t\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t\t_sphere$5.copy( geometry.boundingSphere ).applyMatrix4( object.matrixWorld );\n\n\t\t}\n\n\t\treturn this.intersectsSphere( _sphere$5 );\n\n\t}\n\n\tintersectsSprite( sprite ) {\n\n\t\t_sphere$5.center.set( 0, 0, 0 );\n\t\t_sphere$5.radius = 0.7071067811865476;\n\t\t_sphere$5.applyMatrix4( sprite.matrixWorld );\n\n\t\treturn this.intersectsSphere( _sphere$5 );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\tconst planes = this.planes;\n\t\tconst center = sphere.center;\n\t\tconst negRadius = - sphere.radius;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst distance = planes[ i ].distanceToPoint( center );\n\n\t\t\tif ( distance < negRadius ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst plane = planes[ i ];\n\n\t\t\t// corner at max distance\n\n\t\t\t_vector$7.x = plane.normal.x > 0 ? box.max.x : box.min.x;\n\t\t\t_vector$7.y = plane.normal.y > 0 ? box.max.y : box.min.y;\n\t\t\t_vector$7.z = plane.normal.z > 0 ? box.max.z : box.min.z;\n\n\t\t\tif ( plane.distanceToPoint( _vector$7 ) < 0 ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tif ( planes[ i ].distanceToPoint( point ) < 0 ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nfunction WebGLAnimation() {\n\n\tlet context = null;\n\tlet isAnimating = false;\n\tlet animationLoop = null;\n\tlet requestId = null;\n\n\tfunction onAnimationFrame( time, frame ) {\n\n\t\tanimationLoop( time, frame );\n\n\t\trequestId = context.requestAnimationFrame( onAnimationFrame );\n\n\t}\n\n\treturn {\n\n\t\tstart: function () {\n\n\t\t\tif ( isAnimating === true ) return;\n\t\t\tif ( animationLoop === null ) return;\n\n\t\t\trequestId = context.requestAnimationFrame( onAnimationFrame );\n\n\t\t\tisAnimating = true;\n\n\t\t},\n\n\t\tstop: function () {\n\n\t\t\tcontext.cancelAnimationFrame( requestId );\n\n\t\t\tisAnimating = false;\n\n\t\t},\n\n\t\tsetAnimationLoop: function ( callback ) {\n\n\t\t\tanimationLoop = callback;\n\n\t\t},\n\n\t\tsetContext: function ( value ) {\n\n\t\t\tcontext = value;\n\n\t\t}\n\n\t};\n\n}\n\nfunction WebGLAttributes( gl, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tconst buffers = new WeakMap();\n\n\tfunction createBuffer( attribute, bufferType ) {\n\n\t\tconst array = attribute.array;\n\t\tconst usage = attribute.usage;\n\t\tconst size = array.byteLength;\n\n\t\tconst buffer = gl.createBuffer();\n\n\t\tgl.bindBuffer( bufferType, buffer );\n\t\tgl.bufferData( bufferType, array, usage );\n\n\t\tattribute.onUploadCallback();\n\n\t\tlet type;\n\n\t\tif ( array instanceof Float32Array ) {\n\n\t\t\ttype = gl.FLOAT;\n\n\t\t} else if ( array instanceof Uint16Array ) {\n\n\t\t\tif ( attribute.isFloat16BufferAttribute ) {\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\ttype = gl.HALF_FLOAT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new Error( 'THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.' );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\ttype = gl.UNSIGNED_SHORT;\n\n\t\t\t}\n\n\t\t} else if ( array instanceof Int16Array ) {\n\n\t\t\ttype = gl.SHORT;\n\n\t\t} else if ( array instanceof Uint32Array ) {\n\n\t\t\ttype = gl.UNSIGNED_INT;\n\n\t\t} else if ( array instanceof Int32Array ) {\n\n\t\t\ttype = gl.INT;\n\n\t\t} else if ( array instanceof Int8Array ) {\n\n\t\t\ttype = gl.BYTE;\n\n\t\t} else if ( array instanceof Uint8Array ) {\n\n\t\t\ttype = gl.UNSIGNED_BYTE;\n\n\t\t} else if ( array instanceof Uint8ClampedArray ) {\n\n\t\t\ttype = gl.UNSIGNED_BYTE;\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.WebGLAttributes: Unsupported buffer data format: ' + array );\n\n\t\t}\n\n\t\treturn {\n\t\t\tbuffer: buffer,\n\t\t\ttype: type,\n\t\t\tbytesPerElement: array.BYTES_PER_ELEMENT,\n\t\t\tversion: attribute.version,\n\t\t\tsize: size\n\t\t};\n\n\t}\n\n\tfunction updateBuffer( buffer, attribute, bufferType ) {\n\n\t\tconst array = attribute.array;\n\t\tconst updateRange = attribute._updateRange; // deprecated\n\t\tconst updateRanges = attribute.updateRanges;\n\n\t\tgl.bindBuffer( bufferType, buffer );\n\n\t\tif ( updateRange.count === - 1 && updateRanges.length === 0 ) {\n\n\t\t\t// Not using update ranges\n\t\t\tgl.bufferSubData( bufferType, 0, array );\n\n\t\t}\n\n\t\tif ( updateRanges.length !== 0 ) {\n\n\t\t\tfor ( let i = 0, l = updateRanges.length; i < l; i ++ ) {\n\n\t\t\t\tconst range = updateRanges[ i ];\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tgl.bufferSubData( bufferType, range.start * array.BYTES_PER_ELEMENT,\n\t\t\t\t\t\tarray, range.start, range.count );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tgl.bufferSubData( bufferType, range.start * array.BYTES_PER_ELEMENT,\n\t\t\t\t\t\tarray.subarray( range.start, range.start + range.count ) );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tattribute.clearUpdateRanges();\n\n\t\t}\n\n\t\t// deprecated\n\t\tif ( updateRange.count !== - 1 ) {\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\tgl.bufferSubData( bufferType, updateRange.offset * array.BYTES_PER_ELEMENT,\n\t\t\t\t\tarray, updateRange.offset, updateRange.count );\n\n\t\t\t} else {\n\n\t\t\t\tgl.bufferSubData( bufferType, updateRange.offset * array.BYTES_PER_ELEMENT,\n\t\t\t\t\tarray.subarray( updateRange.offset, updateRange.offset + updateRange.count ) );\n\n\t\t\t}\n\n\t\t\tupdateRange.count = - 1; // reset range\n\n\t\t}\n\n\t\tattribute.onUploadCallback();\n\n\t}\n\n\t//\n\n\tfunction get( attribute ) {\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\treturn buffers.get( attribute );\n\n\t}\n\n\tfunction remove( attribute ) {\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\tconst data = buffers.get( attribute );\n\n\t\tif ( data ) {\n\n\t\t\tgl.deleteBuffer( data.buffer );\n\n\t\t\tbuffers.delete( attribute );\n\n\t\t}\n\n\t}\n\n\tfunction update( attribute, bufferType ) {\n\n\t\tif ( attribute.isGLBufferAttribute ) {\n\n\t\t\tconst cached = buffers.get( attribute );\n\n\t\t\tif ( ! cached || cached.version < attribute.version ) {\n\n\t\t\t\tbuffers.set( attribute, {\n\t\t\t\t\tbuffer: attribute.buffer,\n\t\t\t\t\ttype: attribute.type,\n\t\t\t\t\tbytesPerElement: attribute.elementSize,\n\t\t\t\t\tversion: attribute.version\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\tconst data = buffers.get( attribute );\n\n\t\tif ( data === undefined ) {\n\n\t\t\tbuffers.set( attribute, createBuffer( attribute, bufferType ) );\n\n\t\t} else if ( data.version < attribute.version ) {\n\n\t\t\tif ( data.size !== attribute.array.byteLength ) {\n\n\t\t\t\tthrow new Error( 'THREE.WebGLAttributes: The size of the buffer attribute\\'s array buffer does not match the original size. Resizing buffer attributes is not supported.' );\n\n\t\t\t}\n\n\t\t\tupdateBuffer( data.buffer, attribute, bufferType );\n\n\t\t\tdata.version = attribute.version;\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\tget: get,\n\t\tremove: remove,\n\t\tupdate: update\n\n\t};\n\n}\n\nclass PlaneGeometry extends BufferGeometry {\n\n\tconstructor( width = 1, height = 1, widthSegments = 1, heightSegments = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'PlaneGeometry';\n\n\t\tthis.parameters = {\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments\n\t\t};\n\n\t\tconst width_half = width / 2;\n\t\tconst height_half = height / 2;\n\n\t\tconst gridX = Math.floor( widthSegments );\n\t\tconst gridY = Math.floor( heightSegments );\n\n\t\tconst gridX1 = gridX + 1;\n\t\tconst gridY1 = gridY + 1;\n\n\t\tconst segment_width = width / gridX;\n\t\tconst segment_height = height / gridY;\n\n\t\t//\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\tfor ( let iy = 0; iy < gridY1; iy ++ ) {\n\n\t\t\tconst y = iy * segment_height - height_half;\n\n\t\t\tfor ( let ix = 0; ix < gridX1; ix ++ ) {\n\n\t\t\t\tconst x = ix * segment_width - width_half;\n\n\t\t\t\tvertices.push( x, - y, 0 );\n\n\t\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t\tuvs.push( ix / gridX );\n\t\t\t\tuvs.push( 1 - ( iy / gridY ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfor ( let iy = 0; iy < gridY; iy ++ ) {\n\n\t\t\tfor ( let ix = 0; ix < gridX; ix ++ ) {\n\n\t\t\t\tconst a = ix + gridX1 * iy;\n\t\t\t\tconst b = ix + gridX1 * ( iy + 1 );\n\t\t\t\tconst c = ( ix + 1 ) + gridX1 * ( iy + 1 );\n\t\t\t\tconst d = ( ix + 1 ) + gridX1 * iy;\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new PlaneGeometry( data.width, data.height, data.widthSegments, data.heightSegments );\n\n\t}\n\n}\n\nvar alphahash_fragment = \"#ifdef USE_ALPHAHASH\\n\\tif ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard;\\n#endif\";\n\nvar alphahash_pars_fragment = \"#ifdef USE_ALPHAHASH\\n\\tconst float ALPHA_HASH_SCALE = 0.05;\\n\\tfloat hash2D( vec2 value ) {\\n\\t\\treturn fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) );\\n\\t}\\n\\tfloat hash3D( vec3 value ) {\\n\\t\\treturn hash2D( vec2( hash2D( value.xy ), value.z ) );\\n\\t}\\n\\tfloat getAlphaHashThreshold( vec3 position ) {\\n\\t\\tfloat maxDeriv = max(\\n\\t\\t\\tlength( dFdx( position.xyz ) ),\\n\\t\\t\\tlength( dFdy( position.xyz ) )\\n\\t\\t);\\n\\t\\tfloat pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv );\\n\\t\\tvec2 pixScales = vec2(\\n\\t\\t\\texp2( floor( log2( pixScale ) ) ),\\n\\t\\t\\texp2( ceil( log2( pixScale ) ) )\\n\\t\\t);\\n\\t\\tvec2 alpha = vec2(\\n\\t\\t\\thash3D( floor( pixScales.x * position.xyz ) ),\\n\\t\\t\\thash3D( floor( pixScales.y * position.xyz ) )\\n\\t\\t);\\n\\t\\tfloat lerpFactor = fract( log2( pixScale ) );\\n\\t\\tfloat x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y;\\n\\t\\tfloat a = min( lerpFactor, 1.0 - lerpFactor );\\n\\t\\tvec3 cases = vec3(\\n\\t\\t\\tx * x / ( 2.0 * a * ( 1.0 - a ) ),\\n\\t\\t\\t( x - 0.5 * a ) / ( 1.0 - a ),\\n\\t\\t\\t1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) )\\n\\t\\t);\\n\\t\\tfloat threshold = ( x < ( 1.0 - a ) )\\n\\t\\t\\t? ( ( x < a ) ? cases.x : cases.y )\\n\\t\\t\\t: cases.z;\\n\\t\\treturn clamp( threshold , 1.0e-6, 1.0 );\\n\\t}\\n#endif\";\n\nvar alphamap_fragment = \"#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g;\\n#endif\";\n\nvar alphamap_pars_fragment = \"#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif\";\n\nvar alphatest_fragment = \"#ifdef USE_ALPHATEST\\n\\tif ( diffuseColor.a < alphaTest ) discard;\\n#endif\";\n\nvar alphatest_pars_fragment = \"#ifdef USE_ALPHATEST\\n\\tuniform float alphaTest;\\n#endif\";\n\nvar aomap_fragment = \"#ifdef USE_AOMAP\\n\\tfloat ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0;\\n\\treflectedLight.indirectDiffuse *= ambientOcclusion;\\n\\t#if defined( USE_CLEARCOAT ) \\n\\t\\tclearcoatSpecularIndirect *= ambientOcclusion;\\n\\t#endif\\n\\t#if defined( USE_SHEEN ) \\n\\t\\tsheenSpecularIndirect *= ambientOcclusion;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD )\\n\\t\\tfloat dotNV = saturate( dot( geometryNormal, geometryViewDir ) );\\n\\t\\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );\\n\\t#endif\\n#endif\";\n\nvar aomap_pars_fragment = \"#ifdef USE_AOMAP\\n\\tuniform sampler2D aoMap;\\n\\tuniform float aoMapIntensity;\\n#endif\";\n\nvar batching_pars_vertex = \"#ifdef USE_BATCHING\\n\\tattribute float batchId;\\n\\tuniform highp sampler2D batchingTexture;\\n\\tmat4 getBatchingMatrix( const in float i ) {\\n\\t\\tint size = textureSize( batchingTexture, 0 ).x;\\n\\t\\tint j = int( i ) * 4;\\n\\t\\tint x = j % size;\\n\\t\\tint y = j / size;\\n\\t\\tvec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 );\\n\\t\\tvec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 );\\n\\t\\tvec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 );\\n\\t\\tvec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 );\\n\\t\\treturn mat4( v1, v2, v3, v4 );\\n\\t}\\n#endif\";\n\nvar batching_vertex = \"#ifdef USE_BATCHING\\n\\tmat4 batchingMatrix = getBatchingMatrix( batchId );\\n#endif\";\n\nvar begin_vertex = \"vec3 transformed = vec3( position );\\n#ifdef USE_ALPHAHASH\\n\\tvPosition = vec3( position );\\n#endif\";\n\nvar beginnormal_vertex = \"vec3 objectNormal = vec3( normal );\\n#ifdef USE_TANGENT\\n\\tvec3 objectTangent = vec3( tangent.xyz );\\n#endif\";\n\nvar bsdfs = \"float G_BlinnPhong_Implicit( ) {\\n\\treturn 0.25;\\n}\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\n\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\n}\\nvec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\tvec3 F = F_Schlick( specularColor, 1.0, dotVH );\\n\\tfloat G = G_BlinnPhong_Implicit( );\\n\\tfloat D = D_BlinnPhong( shininess, dotNH );\\n\\treturn F * ( G * D );\\n} // validated\";\n\nvar iridescence_fragment = \"#ifdef USE_IRIDESCENCE\\n\\tconst mat3 XYZ_TO_REC709 = mat3(\\n\\t\\t 3.2404542, -0.9692660, 0.0556434,\\n\\t\\t-1.5371385, 1.8760108, -0.2040259,\\n\\t\\t-0.4985314, 0.0415560, 1.0572252\\n\\t);\\n\\tvec3 Fresnel0ToIor( vec3 fresnel0 ) {\\n\\t\\tvec3 sqrtF0 = sqrt( fresnel0 );\\n\\t\\treturn ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 );\\n\\t}\\n\\tvec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) {\\n\\t\\treturn pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) );\\n\\t}\\n\\tfloat IorToFresnel0( float transmittedIor, float incidentIor ) {\\n\\t\\treturn pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor ));\\n\\t}\\n\\tvec3 evalSensitivity( float OPD, vec3 shift ) {\\n\\t\\tfloat phase = 2.0 * PI * OPD * 1.0e-9;\\n\\t\\tvec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 );\\n\\t\\tvec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 );\\n\\t\\tvec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 );\\n\\t\\tvec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var );\\n\\t\\txyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) );\\n\\t\\txyz /= 1.0685e-7;\\n\\t\\tvec3 rgb = XYZ_TO_REC709 * xyz;\\n\\t\\treturn rgb;\\n\\t}\\n\\tvec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) {\\n\\t\\tvec3 I;\\n\\t\\tfloat iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) );\\n\\t\\tfloat sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) );\\n\\t\\tfloat cosTheta2Sq = 1.0 - sinTheta2Sq;\\n\\t\\tif ( cosTheta2Sq < 0.0 ) {\\n\\t\\t\\treturn vec3( 1.0 );\\n\\t\\t}\\n\\t\\tfloat cosTheta2 = sqrt( cosTheta2Sq );\\n\\t\\tfloat R0 = IorToFresnel0( iridescenceIOR, outsideIOR );\\n\\t\\tfloat R12 = F_Schlick( R0, 1.0, cosTheta1 );\\n\\t\\tfloat T121 = 1.0 - R12;\\n\\t\\tfloat phi12 = 0.0;\\n\\t\\tif ( iridescenceIOR < outsideIOR ) phi12 = PI;\\n\\t\\tfloat phi21 = PI - phi12;\\n\\t\\tvec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) );\\t\\tvec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR );\\n\\t\\tvec3 R23 = F_Schlick( R1, 1.0, cosTheta2 );\\n\\t\\tvec3 phi23 = vec3( 0.0 );\\n\\t\\tif ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI;\\n\\t\\tif ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI;\\n\\t\\tif ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI;\\n\\t\\tfloat OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2;\\n\\t\\tvec3 phi = vec3( phi21 ) + phi23;\\n\\t\\tvec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 );\\n\\t\\tvec3 r123 = sqrt( R123 );\\n\\t\\tvec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 );\\n\\t\\tvec3 C0 = R12 + Rs;\\n\\t\\tI = C0;\\n\\t\\tvec3 Cm = Rs - T121;\\n\\t\\tfor ( int m = 1; m <= 2; ++ m ) {\\n\\t\\t\\tCm *= r123;\\n\\t\\t\\tvec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi );\\n\\t\\t\\tI += Cm * Sm;\\n\\t\\t}\\n\\t\\treturn max( I, vec3( 0.0 ) );\\n\\t}\\n#endif\";\n\nvar bumpmap_pars_fragment = \"#ifdef USE_BUMPMAP\\n\\tuniform sampler2D bumpMap;\\n\\tuniform float bumpScale;\\n\\tvec2 dHdxy_fwd() {\\n\\t\\tvec2 dSTdx = dFdx( vBumpMapUv );\\n\\t\\tvec2 dSTdy = dFdy( vBumpMapUv );\\n\\t\\tfloat Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x;\\n\\t\\tfloat dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll;\\n\\t\\tfloat dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll;\\n\\t\\treturn vec2( dBx, dBy );\\n\\t}\\n\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {\\n\\t\\tvec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) );\\n\\t\\tvec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) );\\n\\t\\tvec3 vN = surf_norm;\\n\\t\\tvec3 R1 = cross( vSigmaY, vN );\\n\\t\\tvec3 R2 = cross( vN, vSigmaX );\\n\\t\\tfloat fDet = dot( vSigmaX, R1 ) * faceDirection;\\n\\t\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\n\\t\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\n\\t}\\n#endif\";\n\nvar clipping_planes_fragment = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvec4 plane;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\n\\t\\tplane = clippingPlanes[ i ];\\n\\t\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\n\\t\\tbool clipped = true;\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\n\\t\\t\\tplane = clippingPlanes[ i ];\\n\\t\\t\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t\\tif ( clipped ) discard;\\n\\t#endif\\n#endif\";\n\nvar clipping_planes_pars_fragment = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\n#endif\";\n\nvar clipping_planes_pars_vertex = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n#endif\";\n\nvar clipping_planes_vertex = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvClipPosition = - mvPosition.xyz;\\n#endif\";\n\nvar color_fragment = \"#if defined( USE_COLOR_ALPHA )\\n\\tdiffuseColor *= vColor;\\n#elif defined( USE_COLOR )\\n\\tdiffuseColor.rgb *= vColor;\\n#endif\";\n\nvar color_pars_fragment = \"#if defined( USE_COLOR_ALPHA )\\n\\tvarying vec4 vColor;\\n#elif defined( USE_COLOR )\\n\\tvarying vec3 vColor;\\n#endif\";\n\nvar color_pars_vertex = \"#if defined( USE_COLOR_ALPHA )\\n\\tvarying vec4 vColor;\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\tvarying vec3 vColor;\\n#endif\";\n\nvar color_vertex = \"#if defined( USE_COLOR_ALPHA )\\n\\tvColor = vec4( 1.0 );\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\tvColor = vec3( 1.0 );\\n#endif\\n#ifdef USE_COLOR\\n\\tvColor *= color;\\n#endif\\n#ifdef USE_INSTANCING_COLOR\\n\\tvColor.xyz *= instanceColor.xyz;\\n#endif\";\n\nvar common = \"#define PI 3.141592653589793\\n#define PI2 6.283185307179586\\n#define PI_HALF 1.5707963267948966\\n#define RECIPROCAL_PI 0.3183098861837907\\n#define RECIPROCAL_PI2 0.15915494309189535\\n#define EPSILON 1e-6\\n#ifndef saturate\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\n#define whiteComplement( a ) ( 1.0 - saturate( a ) )\\nfloat pow2( const in float x ) { return x*x; }\\nvec3 pow2( const in vec3 x ) { return x*x; }\\nfloat pow3( const in float x ) { return x*x*x; }\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\nfloat max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\nfloat average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); }\\nhighp float rand( const in vec2 uv ) {\\n\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\n\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\n\\treturn fract( sin( sn ) * c );\\n}\\n#ifdef HIGH_PRECISION\\n\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\n#else\\n\\tfloat precisionSafeLength( vec3 v ) {\\n\\t\\tfloat maxComponent = max3( abs( v ) );\\n\\t\\treturn length( v / maxComponent ) * maxComponent;\\n\\t}\\n#endif\\nstruct IncidentLight {\\n\\tvec3 color;\\n\\tvec3 direction;\\n\\tbool visible;\\n};\\nstruct ReflectedLight {\\n\\tvec3 directDiffuse;\\n\\tvec3 directSpecular;\\n\\tvec3 indirectDiffuse;\\n\\tvec3 indirectSpecular;\\n};\\n#ifdef USE_ALPHAHASH\\n\\tvarying vec3 vPosition;\\n#endif\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n}\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\n}\\nmat3 transposeMat3( const in mat3 m ) {\\n\\tmat3 tmp;\\n\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\n\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\n\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\n\\treturn tmp;\\n}\\nfloat luminance( const in vec3 rgb ) {\\n\\tconst vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 );\\n\\treturn dot( weights, rgb );\\n}\\nbool isPerspectiveMatrix( mat4 m ) {\\n\\treturn m[ 2 ][ 3 ] == - 1.0;\\n}\\nvec2 equirectUv( in vec3 dir ) {\\n\\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\\n\\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\treturn vec2( u, v );\\n}\\nvec3 BRDF_Lambert( const in vec3 diffuseColor ) {\\n\\treturn RECIPROCAL_PI * diffuseColor;\\n}\\nvec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n}\\nfloat F_Schlick( const in float f0, const in float f90, const in float dotVH ) {\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n} // validated\";\n\nvar cube_uv_reflection_fragment = \"#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t#define cubeUV_minMipLevel 4.0\\n\\t#define cubeUV_minTileSize 16.0\\n\\tfloat getFace( vec3 direction ) {\\n\\t\\tvec3 absDirection = abs( direction );\\n\\t\\tfloat face = - 1.0;\\n\\t\\tif ( absDirection.x > absDirection.z ) {\\n\\t\\t\\tif ( absDirection.x > absDirection.y )\\n\\t\\t\\t\\tface = direction.x > 0.0 ? 0.0 : 3.0;\\n\\t\\t\\telse\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\t\\t} else {\\n\\t\\t\\tif ( absDirection.z > absDirection.y )\\n\\t\\t\\t\\tface = direction.z > 0.0 ? 2.0 : 5.0;\\n\\t\\t\\telse\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\t\\t}\\n\\t\\treturn face;\\n\\t}\\n\\tvec2 getUV( vec3 direction, float face ) {\\n\\t\\tvec2 uv;\\n\\t\\tif ( face == 0.0 ) {\\n\\t\\t\\tuv = vec2( direction.z, direction.y ) / abs( direction.x );\\n\\t\\t} else if ( face == 1.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y );\\n\\t\\t} else if ( face == 2.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, direction.y ) / abs( direction.z );\\n\\t\\t} else if ( face == 3.0 ) {\\n\\t\\t\\tuv = vec2( - direction.z, direction.y ) / abs( direction.x );\\n\\t\\t} else if ( face == 4.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, direction.z ) / abs( direction.y );\\n\\t\\t} else {\\n\\t\\t\\tuv = vec2( direction.x, direction.y ) / abs( direction.z );\\n\\t\\t}\\n\\t\\treturn 0.5 * ( uv + 1.0 );\\n\\t}\\n\\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\\n\\t\\tfloat face = getFace( direction );\\n\\t\\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\\n\\t\\tmipInt = max( mipInt, cubeUV_minMipLevel );\\n\\t\\tfloat faceSize = exp2( mipInt );\\n\\t\\thighp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0;\\n\\t\\tif ( face > 2.0 ) {\\n\\t\\t\\tuv.y += faceSize;\\n\\t\\t\\tface -= 3.0;\\n\\t\\t}\\n\\t\\tuv.x += face * faceSize;\\n\\t\\tuv.x += filterInt * 3.0 * cubeUV_minTileSize;\\n\\t\\tuv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize );\\n\\t\\tuv.x *= CUBEUV_TEXEL_WIDTH;\\n\\t\\tuv.y *= CUBEUV_TEXEL_HEIGHT;\\n\\t\\t#ifdef texture2DGradEXT\\n\\t\\t\\treturn texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb;\\n\\t\\t#else\\n\\t\\t\\treturn texture2D( envMap, uv ).rgb;\\n\\t\\t#endif\\n\\t}\\n\\t#define cubeUV_r0 1.0\\n\\t#define cubeUV_m0 - 2.0\\n\\t#define cubeUV_r1 0.8\\n\\t#define cubeUV_m1 - 1.0\\n\\t#define cubeUV_r4 0.4\\n\\t#define cubeUV_m4 2.0\\n\\t#define cubeUV_r5 0.305\\n\\t#define cubeUV_m5 3.0\\n\\t#define cubeUV_r6 0.21\\n\\t#define cubeUV_m6 4.0\\n\\tfloat roughnessToMip( float roughness ) {\\n\\t\\tfloat mip = 0.0;\\n\\t\\tif ( roughness >= cubeUV_r1 ) {\\n\\t\\t\\tmip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0;\\n\\t\\t} else if ( roughness >= cubeUV_r4 ) {\\n\\t\\t\\tmip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1;\\n\\t\\t} else if ( roughness >= cubeUV_r5 ) {\\n\\t\\t\\tmip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4;\\n\\t\\t} else if ( roughness >= cubeUV_r6 ) {\\n\\t\\t\\tmip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5;\\n\\t\\t} else {\\n\\t\\t\\tmip = - 2.0 * log2( 1.16 * roughness );\\t\\t}\\n\\t\\treturn mip;\\n\\t}\\n\\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\\n\\t\\tfloat mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP );\\n\\t\\tfloat mipF = fract( mip );\\n\\t\\tfloat mipInt = floor( mip );\\n\\t\\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\\n\\t\\tif ( mipF == 0.0 ) {\\n\\t\\t\\treturn vec4( color0, 1.0 );\\n\\t\\t} else {\\n\\t\\t\\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\\n\\t\\t\\treturn vec4( mix( color0, color1, mipF ), 1.0 );\\n\\t\\t}\\n\\t}\\n#endif\";\n\nvar defaultnormal_vertex = \"vec3 transformedNormal = objectNormal;\\n#ifdef USE_TANGENT\\n\\tvec3 transformedTangent = objectTangent;\\n#endif\\n#ifdef USE_BATCHING\\n\\tmat3 bm = mat3( batchingMatrix );\\n\\ttransformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) );\\n\\ttransformedNormal = bm * transformedNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\ttransformedTangent = bm * transformedTangent;\\n\\t#endif\\n#endif\\n#ifdef USE_INSTANCING\\n\\tmat3 im = mat3( instanceMatrix );\\n\\ttransformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) );\\n\\ttransformedNormal = im * transformedNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\ttransformedTangent = im * transformedTangent;\\n\\t#endif\\n#endif\\ntransformedNormal = normalMatrix * transformedNormal;\\n#ifdef FLIP_SIDED\\n\\ttransformedNormal = - transformedNormal;\\n#endif\\n#ifdef USE_TANGENT\\n\\ttransformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz;\\n\\t#ifdef FLIP_SIDED\\n\\t\\ttransformedTangent = - transformedTangent;\\n\\t#endif\\n#endif\";\n\nvar displacementmap_pars_vertex = \"#ifdef USE_DISPLACEMENTMAP\\n\\tuniform sampler2D displacementMap;\\n\\tuniform float displacementScale;\\n\\tuniform float displacementBias;\\n#endif\";\n\nvar displacementmap_vertex = \"#ifdef USE_DISPLACEMENTMAP\\n\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias );\\n#endif\";\n\nvar emissivemap_fragment = \"#ifdef USE_EMISSIVEMAP\\n\\tvec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv );\\n\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\n#endif\";\n\nvar emissivemap_pars_fragment = \"#ifdef USE_EMISSIVEMAP\\n\\tuniform sampler2D emissiveMap;\\n#endif\";\n\nvar colorspace_fragment = \"gl_FragColor = linearToOutputTexel( gl_FragColor );\";\n\nvar colorspace_pars_fragment = \"\\nconst mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3(\\n\\tvec3( 0.8224621, 0.177538, 0.0 ),\\n\\tvec3( 0.0331941, 0.9668058, 0.0 ),\\n\\tvec3( 0.0170827, 0.0723974, 0.9105199 )\\n);\\nconst mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3(\\n\\tvec3( 1.2249401, - 0.2249404, 0.0 ),\\n\\tvec3( - 0.0420569, 1.0420571, 0.0 ),\\n\\tvec3( - 0.0196376, - 0.0786361, 1.0982735 )\\n);\\nvec4 LinearSRGBToLinearDisplayP3( in vec4 value ) {\\n\\treturn vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a );\\n}\\nvec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) {\\n\\treturn vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a );\\n}\\nvec4 LinearTransferOETF( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 sRGBTransferOETF( in vec4 value ) {\\n\\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\\n}\\nvec4 LinearToLinear( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 LinearTosRGB( in vec4 value ) {\\n\\treturn sRGBTransferOETF( value );\\n}\";\n\nvar envmap_fragment = \"#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvec3 cameraToFrag;\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#else\\n\\t\\tvec3 reflectVec = vReflect;\\n\\t#endif\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\n\\t#else\\n\\t\\tvec4 envColor = vec4( 0.0 );\\n\\t#endif\\n\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\n\\t\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_MIX )\\n\\t\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_ADD )\\n\\t\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\n\\t#endif\\n#endif\";\n\nvar envmap_common_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tuniform float envMapIntensity;\\n\\tuniform float flipEnvMap;\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tuniform samplerCube envMap;\\n\\t#else\\n\\t\\tuniform sampler2D envMap;\\n\\t#endif\\n\\t\\n#endif\";\n\nvar envmap_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tuniform float reflectivity;\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t\\tuniform float refractionRatio;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t#endif\\n#endif\";\n\nvar envmap_pars_vertex = \"#ifdef USE_ENVMAP\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\t\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t\\tuniform float refractionRatio;\\n\\t#endif\\n#endif\";\n\nvar envmap_vertex = \"#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvWorldPosition = worldPosition.xyz;\\n\\t#else\\n\\t\\tvec3 cameraToVertex;\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvReflect = reflect( cameraToVertex, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar fog_vertex = \"#ifdef USE_FOG\\n\\tvFogDepth = - mvPosition.z;\\n#endif\";\n\nvar fog_pars_vertex = \"#ifdef USE_FOG\\n\\tvarying float vFogDepth;\\n#endif\";\n\nvar fog_fragment = \"#ifdef USE_FOG\\n\\t#ifdef FOG_EXP2\\n\\t\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );\\n\\t#else\\n\\t\\tfloat fogFactor = smoothstep( fogNear, fogFar, vFogDepth );\\n\\t#endif\\n\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\n#endif\";\n\nvar fog_pars_fragment = \"#ifdef USE_FOG\\n\\tuniform vec3 fogColor;\\n\\tvarying float vFogDepth;\\n\\t#ifdef FOG_EXP2\\n\\t\\tuniform float fogDensity;\\n\\t#else\\n\\t\\tuniform float fogNear;\\n\\t\\tuniform float fogFar;\\n\\t#endif\\n#endif\";\n\nvar gradientmap_pars_fragment = \"#ifdef USE_GRADIENTMAP\\n\\tuniform sampler2D gradientMap;\\n#endif\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\n\\tfloat dotNL = dot( normal, lightDirection );\\n\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\n\\t#ifdef USE_GRADIENTMAP\\n\\t\\treturn vec3( texture2D( gradientMap, coord ).r );\\n\\t#else\\n\\t\\tvec2 fw = fwidth( coord ) * 0.5;\\n\\t\\treturn mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) );\\n\\t#endif\\n}\";\n\nvar lightmap_fragment = \"#ifdef USE_LIGHTMAP\\n\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\tvec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;\\n\\treflectedLight.indirectDiffuse += lightMapIrradiance;\\n#endif\";\n\nvar lightmap_pars_fragment = \"#ifdef USE_LIGHTMAP\\n\\tuniform sampler2D lightMap;\\n\\tuniform float lightMapIntensity;\\n#endif\";\n\nvar lights_lambert_fragment = \"LambertMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularStrength = specularStrength;\";\n\nvar lights_lambert_pars_fragment = \"varying vec3 vViewPosition;\\nstruct LambertMaterial {\\n\\tvec3 diffuseColor;\\n\\tfloat specularStrength;\\n};\\nvoid RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Lambert\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Lambert\";\n\nvar lights_pars_begin = \"uniform bool receiveShadow;\\nuniform vec3 ambientLightColor;\\n#if defined( USE_LIGHT_PROBES )\\n\\tuniform vec3 lightProbe[ 9 ];\\n#endif\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\n\\tfloat x = normal.x, y = normal.y, z = normal.z;\\n\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\n\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\n\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\n\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\n\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\n\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\n\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\n\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\n\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\n\\treturn result;\\n}\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {\\n\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\n\\treturn irradiance;\\n}\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\n\\tvec3 irradiance = ambientLightColor;\\n\\treturn irradiance;\\n}\\nfloat getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\n\\t#if defined ( LEGACY_LIGHTS )\\n\\t\\tif ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\n\\t\\t\\treturn pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );\\n\\t\\t}\\n\\t\\treturn 1.0;\\n\\t#else\\n\\t\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\n\\t\\tif ( cutoffDistance > 0.0 ) {\\n\\t\\t\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\n\\t\\t}\\n\\t\\treturn distanceFalloff;\\n\\t#endif\\n}\\nfloat getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {\\n\\treturn smoothstep( coneCosine, penumbraCosine, angleCosine );\\n}\\n#if NUM_DIR_LIGHTS > 0\\n\\tstruct DirectionalLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t};\\n\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\n\\tvoid getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) {\\n\\t\\tlight.color = directionalLight.color;\\n\\t\\tlight.direction = directionalLight.direction;\\n\\t\\tlight.visible = true;\\n\\t}\\n#endif\\n#if NUM_POINT_LIGHTS > 0\\n\\tstruct PointLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t};\\n\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\n\\tvoid getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) {\\n\\t\\tvec3 lVector = pointLight.position - geometryPosition;\\n\\t\\tlight.direction = normalize( lVector );\\n\\t\\tfloat lightDistance = length( lVector );\\n\\t\\tlight.color = pointLight.color;\\n\\t\\tlight.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );\\n\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\t}\\n#endif\\n#if NUM_SPOT_LIGHTS > 0\\n\\tstruct SpotLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t\\tfloat coneCos;\\n\\t\\tfloat penumbraCos;\\n\\t};\\n\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\n\\tvoid getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) {\\n\\t\\tvec3 lVector = spotLight.position - geometryPosition;\\n\\t\\tlight.direction = normalize( lVector );\\n\\t\\tfloat angleCos = dot( light.direction, spotLight.direction );\\n\\t\\tfloat spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\n\\t\\tif ( spotAttenuation > 0.0 ) {\\n\\t\\t\\tfloat lightDistance = length( lVector );\\n\\t\\t\\tlight.color = spotLight.color * spotAttenuation;\\n\\t\\t\\tlight.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );\\n\\t\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\t\\t} else {\\n\\t\\t\\tlight.color = vec3( 0.0 );\\n\\t\\t\\tlight.visible = false;\\n\\t\\t}\\n\\t}\\n#endif\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tstruct RectAreaLight {\\n\\t\\tvec3 color;\\n\\t\\tvec3 position;\\n\\t\\tvec3 halfWidth;\\n\\t\\tvec3 halfHeight;\\n\\t};\\n\\tuniform sampler2D ltc_1;\\tuniform sampler2D ltc_2;\\n\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\n#endif\\n#if NUM_HEMI_LIGHTS > 0\\n\\tstruct HemisphereLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 skyColor;\\n\\t\\tvec3 groundColor;\\n\\t};\\n\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\n\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {\\n\\t\\tfloat dotNL = dot( normal, hemiLight.direction );\\n\\t\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\n\\t\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\n\\t\\treturn irradiance;\\n\\t}\\n#endif\";\n\nvar envmap_physical_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tvec3 getIBLIrradiance( const in vec3 normal ) {\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\n\\t\\t\\treturn PI * envMapColor.rgb * envMapIntensity;\\n\\t\\t#else\\n\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t#endif\\n\\t}\\n\\tvec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\tvec3 reflectVec = reflect( - viewDir, normal );\\n\\t\\t\\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\n\\t\\t\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\n\\t\\t\\treturn envMapColor.rgb * envMapIntensity;\\n\\t\\t#else\\n\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t#endif\\n\\t}\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tvec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) {\\n\\t\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\t\\tvec3 bentNormal = cross( bitangent, viewDir );\\n\\t\\t\\t\\tbentNormal = normalize( cross( bentNormal, bitangent ) );\\n\\t\\t\\t\\tbentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) );\\n\\t\\t\\t\\treturn getIBLRadiance( viewDir, bentNormal, roughness );\\n\\t\\t\\t#else\\n\\t\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t\\t#endif\\n\\t\\t}\\n\\t#endif\\n#endif\";\n\nvar lights_toon_fragment = \"ToonMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\";\n\nvar lights_toon_pars_fragment = \"varying vec3 vViewPosition;\\nstruct ToonMaterial {\\n\\tvec3 diffuseColor;\\n};\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tvec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Toon\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Toon\";\n\nvar lights_phong_fragment = \"BlinnPhongMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularColor = specular;\\nmaterial.specularShininess = shininess;\\nmaterial.specularStrength = specularStrength;\";\n\nvar lights_phong_pars_fragment = \"varying vec3 vViewPosition;\\nstruct BlinnPhongMaterial {\\n\\tvec3 diffuseColor;\\n\\tvec3 specularColor;\\n\\tfloat specularShininess;\\n\\tfloat specularStrength;\\n};\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\treflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength;\\n}\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_BlinnPhong\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_BlinnPhong\";\n\nvar lights_physical_fragment = \"PhysicalMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\nvec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) );\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\nmaterial.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;\\nmaterial.roughness = min( material.roughness, 1.0 );\\n#ifdef IOR\\n\\tmaterial.ior = ior;\\n\\t#ifdef USE_SPECULAR\\n\\t\\tfloat specularIntensityFactor = specularIntensity;\\n\\t\\tvec3 specularColorFactor = specularColor;\\n\\t\\t#ifdef USE_SPECULAR_COLORMAP\\n\\t\\t\\tspecularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb;\\n\\t\\t#endif\\n\\t\\t#ifdef USE_SPECULAR_INTENSITYMAP\\n\\t\\t\\tspecularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a;\\n\\t\\t#endif\\n\\t\\tmaterial.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );\\n\\t#else\\n\\t\\tfloat specularIntensityFactor = 1.0;\\n\\t\\tvec3 specularColorFactor = vec3( 1.0 );\\n\\t\\tmaterial.specularF90 = 1.0;\\n\\t#endif\\n\\tmaterial.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );\\n#else\\n\\tmaterial.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );\\n\\tmaterial.specularF90 = 1.0;\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tmaterial.clearcoat = clearcoat;\\n\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\n\\tmaterial.clearcoatF0 = vec3( 0.04 );\\n\\tmaterial.clearcoatF90 = 1.0;\\n\\t#ifdef USE_CLEARCOATMAP\\n\\t\\tmaterial.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\t\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y;\\n\\t#endif\\n\\tmaterial.clearcoat = saturate( material.clearcoat );\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\n\\tmaterial.clearcoatRoughness += geometryRoughness;\\n\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tmaterial.iridescence = iridescence;\\n\\tmaterial.iridescenceIOR = iridescenceIOR;\\n\\t#ifdef USE_IRIDESCENCEMAP\\n\\t\\tmaterial.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r;\\n\\t#endif\\n\\t#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\t\\tmaterial.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum;\\n\\t#else\\n\\t\\tmaterial.iridescenceThickness = iridescenceThicknessMaximum;\\n\\t#endif\\n#endif\\n#ifdef USE_SHEEN\\n\\tmaterial.sheenColor = sheenColor;\\n\\t#ifdef USE_SHEEN_COLORMAP\\n\\t\\tmaterial.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb;\\n\\t#endif\\n\\tmaterial.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );\\n\\t#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\t\\tmaterial.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a;\\n\\t#endif\\n#endif\\n#ifdef USE_ANISOTROPY\\n\\t#ifdef USE_ANISOTROPYMAP\\n\\t\\tmat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x );\\n\\t\\tvec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb;\\n\\t\\tvec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b;\\n\\t#else\\n\\t\\tvec2 anisotropyV = anisotropyVector;\\n\\t#endif\\n\\tmaterial.anisotropy = length( anisotropyV );\\n\\tif( material.anisotropy == 0.0 ) {\\n\\t\\tanisotropyV = vec2( 1.0, 0.0 );\\n\\t} else {\\n\\t\\tanisotropyV /= material.anisotropy;\\n\\t\\tmaterial.anisotropy = saturate( material.anisotropy );\\n\\t}\\n\\tmaterial.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) );\\n\\tmaterial.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y;\\n\\tmaterial.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y;\\n#endif\";\n\nvar lights_physical_pars_fragment = \"struct PhysicalMaterial {\\n\\tvec3 diffuseColor;\\n\\tfloat roughness;\\n\\tvec3 specularColor;\\n\\tfloat specularF90;\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat clearcoat;\\n\\t\\tfloat clearcoatRoughness;\\n\\t\\tvec3 clearcoatF0;\\n\\t\\tfloat clearcoatF90;\\n\\t#endif\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tfloat iridescence;\\n\\t\\tfloat iridescenceIOR;\\n\\t\\tfloat iridescenceThickness;\\n\\t\\tvec3 iridescenceFresnel;\\n\\t\\tvec3 iridescenceF0;\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tvec3 sheenColor;\\n\\t\\tfloat sheenRoughness;\\n\\t#endif\\n\\t#ifdef IOR\\n\\t\\tfloat ior;\\n\\t#endif\\n\\t#ifdef USE_TRANSMISSION\\n\\t\\tfloat transmission;\\n\\t\\tfloat transmissionAlpha;\\n\\t\\tfloat thickness;\\n\\t\\tfloat attenuationDistance;\\n\\t\\tvec3 attenuationColor;\\n\\t#endif\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tfloat anisotropy;\\n\\t\\tfloat alphaT;\\n\\t\\tvec3 anisotropyT;\\n\\t\\tvec3 anisotropyB;\\n\\t#endif\\n};\\nvec3 clearcoatSpecularDirect = vec3( 0.0 );\\nvec3 clearcoatSpecularIndirect = vec3( 0.0 );\\nvec3 sheenSpecularDirect = vec3( 0.0 );\\nvec3 sheenSpecularIndirect = vec3(0.0 );\\nvec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) {\\n float x = clamp( 1.0 - dotVH, 0.0, 1.0 );\\n float x2 = x * x;\\n float x5 = clamp( x * x2 * x2, 0.0, 0.9999 );\\n return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 );\\n}\\nfloat V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\n\\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\n\\treturn 0.5 / max( gv + gl, EPSILON );\\n}\\nfloat D_GGX( const in float alpha, const in float dotNH ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;\\n\\treturn RECIPROCAL_PI * a2 / pow2( denom );\\n}\\n#ifdef USE_ANISOTROPY\\n\\tfloat V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) {\\n\\t\\tfloat gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) );\\n\\t\\tfloat gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) );\\n\\t\\tfloat v = 0.5 / ( gv + gl );\\n\\t\\treturn saturate(v);\\n\\t}\\n\\tfloat D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) {\\n\\t\\tfloat a2 = alphaT * alphaB;\\n\\t\\thighp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH );\\n\\t\\thighp float v2 = dot( v, v );\\n\\t\\tfloat w2 = a2 / v2;\\n\\t\\treturn RECIPROCAL_PI * a2 * pow2 ( w2 );\\n\\t}\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tvec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) {\\n\\t\\tvec3 f0 = material.clearcoatF0;\\n\\t\\tfloat f90 = material.clearcoatF90;\\n\\t\\tfloat roughness = material.clearcoatRoughness;\\n\\t\\tfloat alpha = pow2( roughness );\\n\\t\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\t\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\t\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\t\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\t\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\t\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\t\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\t\\tfloat D = D_GGX( alpha, dotNH );\\n\\t\\treturn F * ( V * D );\\n\\t}\\n#endif\\nvec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {\\n\\tvec3 f0 = material.specularColor;\\n\\tfloat f90 = material.specularF90;\\n\\tfloat roughness = material.roughness;\\n\\tfloat alpha = pow2( roughness );\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tF = mix( F, material.iridescenceFresnel, material.iridescence );\\n\\t#endif\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tfloat dotTL = dot( material.anisotropyT, lightDir );\\n\\t\\tfloat dotTV = dot( material.anisotropyT, viewDir );\\n\\t\\tfloat dotTH = dot( material.anisotropyT, halfDir );\\n\\t\\tfloat dotBL = dot( material.anisotropyB, lightDir );\\n\\t\\tfloat dotBV = dot( material.anisotropyB, viewDir );\\n\\t\\tfloat dotBH = dot( material.anisotropyB, halfDir );\\n\\t\\tfloat V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL );\\n\\t\\tfloat D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH );\\n\\t#else\\n\\t\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\t\\tfloat D = D_GGX( alpha, dotNH );\\n\\t#endif\\n\\treturn F * ( V * D );\\n}\\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\\n\\tconst float LUT_SIZE = 64.0;\\n\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\n\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\n\\tfloat dotNV = saturate( dot( N, V ) );\\n\\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\\n\\tuv = uv * LUT_SCALE + LUT_BIAS;\\n\\treturn uv;\\n}\\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\\n\\tfloat l = length( f );\\n\\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\\n}\\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\\n\\tfloat x = dot( v1, v2 );\\n\\tfloat y = abs( x );\\n\\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\\n\\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\\n\\tfloat v = a / b;\\n\\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\n\\treturn cross( v1, v2 ) * theta_sintheta;\\n}\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\n\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\n\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\n\\tvec3 lightNormal = cross( v1, v2 );\\n\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\n\\tvec3 T1, T2;\\n\\tT1 = normalize( V - N * dot( V, N ) );\\n\\tT2 = - cross( N, T1 );\\n\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\n\\tvec3 coords[ 4 ];\\n\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\n\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\n\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\n\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\n\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\n\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\n\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\n\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\n\\tvec3 vectorFormFactor = vec3( 0.0 );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\n\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\n\\treturn vec3( result );\\n}\\n#if defined( USE_SHEEN )\\nfloat D_Charlie( float roughness, float dotNH ) {\\n\\tfloat alpha = pow2( roughness );\\n\\tfloat invAlpha = 1.0 / alpha;\\n\\tfloat cos2h = dotNH * dotNH;\\n\\tfloat sin2h = max( 1.0 - cos2h, 0.0078125 );\\n\\treturn ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );\\n}\\nfloat V_Neubelt( float dotNV, float dotNL ) {\\n\\treturn saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );\\n}\\nvec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) {\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat D = D_Charlie( sheenRoughness, dotNH );\\n\\tfloat V = V_Neubelt( dotNV, dotNL );\\n\\treturn sheenColor * ( D * V );\\n}\\n#endif\\nfloat IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat r2 = roughness * roughness;\\n\\tfloat a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95;\\n\\tfloat b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72;\\n\\tfloat DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) );\\n\\treturn saturate( DG * RECIPROCAL_PI );\\n}\\nvec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\n\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\n\\tvec4 r = roughness * c0 + c1;\\n\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\n\\tvec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;\\n\\treturn fab;\\n}\\nvec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\treturn specularColor * fab.x + specularF90 * fab.y;\\n}\\n#ifdef USE_IRIDESCENCE\\nvoid computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n#else\\nvoid computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n#endif\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tvec3 Fr = mix( specularColor, iridescenceF0, iridescence );\\n\\t#else\\n\\t\\tvec3 Fr = specularColor;\\n\\t#endif\\n\\tvec3 FssEss = Fr * fab.x + specularF90 * fab.y;\\n\\tfloat Ess = fab.x + fab.y;\\n\\tfloat Ems = 1.0 - Ess;\\n\\tvec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619;\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\n\\tsingleScatter += FssEss;\\n\\tmultiScatter += Fms * Ems;\\n}\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\t\\tvec3 normal = geometryNormal;\\n\\t\\tvec3 viewDir = geometryViewDir;\\n\\t\\tvec3 position = geometryPosition;\\n\\t\\tvec3 lightPos = rectAreaLight.position;\\n\\t\\tvec3 halfWidth = rectAreaLight.halfWidth;\\n\\t\\tvec3 halfHeight = rectAreaLight.halfHeight;\\n\\t\\tvec3 lightColor = rectAreaLight.color;\\n\\t\\tfloat roughness = material.roughness;\\n\\t\\tvec3 rectCoords[ 4 ];\\n\\t\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight;\\t\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\n\\t\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\n\\t\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\n\\t\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\n\\t\\tvec4 t1 = texture2D( ltc_1, uv );\\n\\t\\tvec4 t2 = texture2D( ltc_2, uv );\\n\\t\\tmat3 mInv = mat3(\\n\\t\\t\\tvec3( t1.x, 0, t1.y ),\\n\\t\\t\\tvec3( 0, 1, 0 ),\\n\\t\\t\\tvec3( t1.z, 0, t1.w )\\n\\t\\t);\\n\\t\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\n\\t\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\n\\t\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\n\\t}\\n#endif\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) );\\n\\t\\tvec3 ccIrradiance = dotNLcc * directLight.color;\\n\\t\\tclearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material );\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tsheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness );\\n\\t#endif\\n\\treflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material );\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tclearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tsheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness );\\n\\t#endif\\n\\tvec3 singleScattering = vec3( 0.0 );\\n\\tvec3 multiScattering = vec3( 0.0 );\\n\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tcomputeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering );\\n\\t#else\\n\\t\\tcomputeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );\\n\\t#endif\\n\\tvec3 totalScattering = singleScattering + multiScattering;\\n\\tvec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) );\\n\\treflectedLight.indirectSpecular += radiance * singleScattering;\\n\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\n\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Physical\\n#define RE_Direct_RectArea\\t\\tRE_Direct_RectArea_Physical\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Physical\\n#define RE_IndirectSpecular\\t\\tRE_IndirectSpecular_Physical\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\n\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\n}\";\n\nvar lights_fragment_begin = \"\\nvec3 geometryPosition = - vViewPosition;\\nvec3 geometryNormal = normal;\\nvec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\nvec3 geometryClearcoatNormal = vec3( 0.0 );\\n#ifdef USE_CLEARCOAT\\n\\tgeometryClearcoatNormal = clearcoatNormal;\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tfloat dotNVi = saturate( dot( normal, geometryViewDir ) );\\n\\tif ( material.iridescenceThickness == 0.0 ) {\\n\\t\\tmaterial.iridescence = 0.0;\\n\\t} else {\\n\\t\\tmaterial.iridescence = saturate( material.iridescence );\\n\\t}\\n\\tif ( material.iridescence > 0.0 ) {\\n\\t\\tmaterial.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor );\\n\\t\\tmaterial.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi );\\n\\t}\\n#endif\\nIncidentLight directLight;\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tPointLight pointLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\t\\tpointLight = pointLights[ i ];\\n\\t\\tgetPointLightInfo( pointLight, geometryPosition, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\n\\t\\tpointLightShadow = pointLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tSpotLight spotLight;\\n\\tvec4 spotColor;\\n\\tvec3 spotLightCoord;\\n\\tbool inSpotLightMap;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\t\\tspotLight = spotLights[ i ];\\n\\t\\tgetSpotLightInfo( spotLight, geometryPosition, directLight );\\n\\t\\t#if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX\\n\\t\\t#elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS\\n\\t\\t#else\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )\\n\\t\\t#endif\\n\\t\\t#if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS )\\n\\t\\t\\tspotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w;\\n\\t\\t\\tinSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) );\\n\\t\\t\\tspotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy );\\n\\t\\t\\tdirectLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color;\\n\\t\\t#endif\\n\\t\\t#undef SPOT_LIGHT_MAP_INDEX\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\tspotLightShadow = spotLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tDirectionalLight directionalLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLights[ i ];\\n\\t\\tgetDirectionalLightInfo( directionalLight, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\n\\t\\tdirectionalLightShadow = directionalLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\n\\tRectAreaLight rectAreaLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\n\\t\\trectAreaLight = rectAreaLights[ i ];\\n\\t\\tRE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if defined( RE_IndirectDiffuse )\\n\\tvec3 iblIrradiance = vec3( 0.0 );\\n\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\n\\t#if defined( USE_LIGHT_PROBES )\\n\\t\\tirradiance += getLightProbeIrradiance( lightProbe, geometryNormal );\\n\\t#endif\\n\\t#if ( NUM_HEMI_LIGHTS > 0 )\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\t\\t\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal );\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tvec3 radiance = vec3( 0.0 );\\n\\tvec3 clearcoatRadiance = vec3( 0.0 );\\n#endif\";\n\nvar lights_fragment_maps = \"#if defined( RE_IndirectDiffuse )\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\t\\tvec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;\\n\\t\\tirradiance += lightMapIrradiance;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tiblIrradiance += getIBLIrradiance( geometryNormal );\\n\\t#endif\\n#endif\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tradiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy );\\n\\t#else\\n\\t\\tradiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness );\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tclearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness );\\n\\t#endif\\n#endif\";\n\nvar lights_fragment_end = \"#if defined( RE_IndirectDiffuse )\\n\\tRE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n#endif\";\n\nvar logdepthbuf_fragment = \"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\n#endif\";\n\nvar logdepthbuf_pars_fragment = \"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tuniform float logDepthBufFC;\\n\\tvarying float vFragDepth;\\n\\tvarying float vIsPerspective;\\n#endif\";\n\nvar logdepthbuf_pars_vertex = \"#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvarying float vFragDepth;\\n\\t\\tvarying float vIsPerspective;\\n\\t#else\\n\\t\\tuniform float logDepthBufFC;\\n\\t#endif\\n#endif\";\n\nvar logdepthbuf_vertex = \"#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvFragDepth = 1.0 + gl_Position.w;\\n\\t\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\n\\t#else\\n\\t\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\n\\t\\t\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\n\\t\\t\\tgl_Position.z *= gl_Position.w;\\n\\t\\t}\\n\\t#endif\\n#endif\";\n\nvar map_fragment = \"#ifdef USE_MAP\\n\\tvec4 sampledDiffuseColor = texture2D( map, vMapUv );\\n\\t#ifdef DECODE_VIDEO_TEXTURE\\n\\t\\tsampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w );\\n\\t\\n\\t#endif\\n\\tdiffuseColor *= sampledDiffuseColor;\\n#endif\";\n\nvar map_pars_fragment = \"#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\";\n\nvar map_particle_fragment = \"#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\t#if defined( USE_POINTS_UV )\\n\\t\\tvec2 uv = vUv;\\n\\t#else\\n\\t\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\n\\t#endif\\n#endif\\n#ifdef USE_MAP\\n\\tdiffuseColor *= texture2D( map, uv );\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\n#endif\";\n\nvar map_particle_pars_fragment = \"#if defined( USE_POINTS_UV )\\n\\tvarying vec2 vUv;\\n#else\\n\\t#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\t\\tuniform mat3 uvTransform;\\n\\t#endif\\n#endif\\n#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif\";\n\nvar metalnessmap_fragment = \"float metalnessFactor = metalness;\\n#ifdef USE_METALNESSMAP\\n\\tvec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv );\\n\\tmetalnessFactor *= texelMetalness.b;\\n#endif\";\n\nvar metalnessmap_pars_fragment = \"#ifdef USE_METALNESSMAP\\n\\tuniform sampler2D metalnessMap;\\n#endif\";\n\nvar morphcolor_vertex = \"#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE )\\n\\tvColor *= morphTargetBaseInfluence;\\n\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t#if defined( USE_COLOR_ALPHA )\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ];\\n\\t\\t#elif defined( USE_COLOR )\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ];\\n\\t\\t#endif\\n\\t}\\n#endif\";\n\nvar morphnormal_vertex = \"#ifdef USE_MORPHNORMALS\\n\\tobjectNormal *= morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ];\\n\\t\\t}\\n\\t#else\\n\\t\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\n\\t\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\n\\t\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\n\\t\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\n\\t#endif\\n#endif\";\n\nvar morphtarget_pars_vertex = \"#ifdef USE_MORPHTARGETS\\n\\tuniform float morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tuniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];\\n\\t\\tuniform sampler2DArray morphTargetsTexture;\\n\\t\\tuniform ivec2 morphTargetsTextureSize;\\n\\t\\tvec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) {\\n\\t\\t\\tint texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset;\\n\\t\\t\\tint y = texelIndex / morphTargetsTextureSize.x;\\n\\t\\t\\tint x = texelIndex - y * morphTargetsTextureSize.x;\\n\\t\\t\\tivec3 morphUV = ivec3( x, y, morphTargetIndex );\\n\\t\\t\\treturn texelFetch( morphTargetsTexture, morphUV, 0 );\\n\\t\\t}\\n\\t#else\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\t\\t\\tuniform float morphTargetInfluences[ 8 ];\\n\\t\\t#else\\n\\t\\t\\tuniform float morphTargetInfluences[ 4 ];\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar morphtarget_vertex = \"#ifdef USE_MORPHTARGETS\\n\\ttransformed *= morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ];\\n\\t\\t}\\n\\t#else\\n\\t\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\n\\t\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\n\\t\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\n\\t\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\t\\t\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\n\\t\\t\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\n\\t\\t\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\n\\t\\t\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar normal_fragment_begin = \"float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;\\n#ifdef FLAT_SHADED\\n\\tvec3 fdx = dFdx( vViewPosition );\\n\\tvec3 fdy = dFdy( vViewPosition );\\n\\tvec3 normal = normalize( cross( fdx, fdy ) );\\n#else\\n\\tvec3 normal = normalize( vNormal );\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal *= faceDirection;\\n\\t#endif\\n#endif\\n#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY )\\n\\t#ifdef USE_TANGENT\\n\\t\\tmat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal );\\n\\t#else\\n\\t\\tmat3 tbn = getTangentFrame( - vViewPosition, normal,\\n\\t\\t#if defined( USE_NORMALMAP )\\n\\t\\t\\tvNormalMapUv\\n\\t\\t#elif defined( USE_CLEARCOAT_NORMALMAP )\\n\\t\\t\\tvClearcoatNormalMapUv\\n\\t\\t#else\\n\\t\\t\\tvUv\\n\\t\\t#endif\\n\\t\\t);\\n\\t#endif\\n\\t#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )\\n\\t\\ttbn[0] *= faceDirection;\\n\\t\\ttbn[1] *= faceDirection;\\n\\t#endif\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\t#ifdef USE_TANGENT\\n\\t\\tmat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal );\\n\\t#else\\n\\t\\tmat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv );\\n\\t#endif\\n\\t#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )\\n\\t\\ttbn2[0] *= faceDirection;\\n\\t\\ttbn2[1] *= faceDirection;\\n\\t#endif\\n#endif\\nvec3 nonPerturbedNormal = normal;\";\n\nvar normal_fragment_maps = \"#ifdef USE_NORMALMAP_OBJECTSPACE\\n\\tnormal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;\\n\\t#ifdef FLIP_SIDED\\n\\t\\tnormal = - normal;\\n\\t#endif\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal = normal * faceDirection;\\n\\t#endif\\n\\tnormal = normalize( normalMatrix * normal );\\n#elif defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;\\n\\tmapN.xy *= normalScale;\\n\\tnormal = normalize( tbn * mapN );\\n#elif defined( USE_BUMPMAP )\\n\\tnormal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );\\n#endif\";\n\nvar normal_pars_fragment = \"#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\";\n\nvar normal_pars_vertex = \"#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\";\n\nvar normal_vertex = \"#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n\\t#ifdef USE_TANGENT\\n\\t\\tvTangent = normalize( transformedTangent );\\n\\t\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\n\\t#endif\\n#endif\";\n\nvar normalmap_pars_fragment = \"#ifdef USE_NORMALMAP\\n\\tuniform sampler2D normalMap;\\n\\tuniform vec2 normalScale;\\n#endif\\n#ifdef USE_NORMALMAP_OBJECTSPACE\\n\\tuniform mat3 normalMatrix;\\n#endif\\n#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) )\\n\\tmat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) {\\n\\t\\tvec3 q0 = dFdx( eye_pos.xyz );\\n\\t\\tvec3 q1 = dFdy( eye_pos.xyz );\\n\\t\\tvec2 st0 = dFdx( uv.st );\\n\\t\\tvec2 st1 = dFdy( uv.st );\\n\\t\\tvec3 N = surf_norm;\\n\\t\\tvec3 q1perp = cross( q1, N );\\n\\t\\tvec3 q0perp = cross( N, q0 );\\n\\t\\tvec3 T = q1perp * st0.x + q0perp * st1.x;\\n\\t\\tvec3 B = q1perp * st0.y + q0perp * st1.y;\\n\\t\\tfloat det = max( dot( T, T ), dot( B, B ) );\\n\\t\\tfloat scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det );\\n\\t\\treturn mat3( T * scale, B * scale, N );\\n\\t}\\n#endif\";\n\nvar clearcoat_normal_fragment_begin = \"#ifdef USE_CLEARCOAT\\n\\tvec3 clearcoatNormal = nonPerturbedNormal;\\n#endif\";\n\nvar clearcoat_normal_fragment_maps = \"#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0;\\n\\tclearcoatMapN.xy *= clearcoatNormalScale;\\n\\tclearcoatNormal = normalize( tbn2 * clearcoatMapN );\\n#endif\";\n\nvar clearcoat_pars_fragment = \"#ifdef USE_CLEARCOATMAP\\n\\tuniform sampler2D clearcoatMap;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform sampler2D clearcoatNormalMap;\\n\\tuniform vec2 clearcoatNormalScale;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform sampler2D clearcoatRoughnessMap;\\n#endif\";\n\nvar iridescence_pars_fragment = \"#ifdef USE_IRIDESCENCEMAP\\n\\tuniform sampler2D iridescenceMap;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tuniform sampler2D iridescenceThicknessMap;\\n#endif\";\n\nvar opaque_fragment = \"#ifdef OPAQUE\\ndiffuseColor.a = 1.0;\\n#endif\\n#ifdef USE_TRANSMISSION\\ndiffuseColor.a *= material.transmissionAlpha;\\n#endif\\ngl_FragColor = vec4( outgoingLight, diffuseColor.a );\";\n\nvar packing = \"vec3 packNormalToRGB( const in vec3 normal ) {\\n\\treturn normalize( normal ) * 0.5 + 0.5;\\n}\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\n\\treturn 2.0 * rgb.xyz - 1.0;\\n}\\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\nconst float ShiftRight8 = 1. / 256.;\\nvec4 packDepthToRGBA( const in float v ) {\\n\\tvec4 r = vec4( fract( v * PackFactors ), v );\\n\\tr.yzw -= r.xyz * ShiftRight8;\\treturn r * PackUpscale;\\n}\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\n\\treturn dot( v, UnpackFactors );\\n}\\nvec2 packDepthToRG( in highp float v ) {\\n\\treturn packDepthToRGBA( v ).yx;\\n}\\nfloat unpackRGToDepth( const in highp vec2 v ) {\\n\\treturn unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) );\\n}\\nvec4 pack2HalfToRGBA( vec2 v ) {\\n\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );\\n\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );\\n}\\nvec2 unpackRGBATo2Half( vec4 v ) {\\n\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\n}\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( viewZ + near ) / ( near - far );\\n}\\nfloat orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) {\\n\\treturn depth * ( near - far ) - near;\\n}\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );\\n}\\nfloat perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) {\\n\\treturn ( near * far ) / ( ( far - near ) * depth - far );\\n}\";\n\nvar premultiplied_alpha_fragment = \"#ifdef PREMULTIPLIED_ALPHA\\n\\tgl_FragColor.rgb *= gl_FragColor.a;\\n#endif\";\n\nvar project_vertex = \"vec4 mvPosition = vec4( transformed, 1.0 );\\n#ifdef USE_BATCHING\\n\\tmvPosition = batchingMatrix * mvPosition;\\n#endif\\n#ifdef USE_INSTANCING\\n\\tmvPosition = instanceMatrix * mvPosition;\\n#endif\\nmvPosition = modelViewMatrix * mvPosition;\\ngl_Position = projectionMatrix * mvPosition;\";\n\nvar dithering_fragment = \"#ifdef DITHERING\\n\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\n#endif\";\n\nvar dithering_pars_fragment = \"#ifdef DITHERING\\n\\tvec3 dithering( vec3 color ) {\\n\\t\\tfloat grid_position = rand( gl_FragCoord.xy );\\n\\t\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\n\\t\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\n\\t\\treturn color + dither_shift_RGB;\\n\\t}\\n#endif\";\n\nvar roughnessmap_fragment = \"float roughnessFactor = roughness;\\n#ifdef USE_ROUGHNESSMAP\\n\\tvec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv );\\n\\troughnessFactor *= texelRoughness.g;\\n#endif\";\n\nvar roughnessmap_pars_fragment = \"#ifdef USE_ROUGHNESSMAP\\n\\tuniform sampler2D roughnessMap;\\n#endif\";\n\nvar shadowmap_pars_fragment = \"#if NUM_SPOT_LIGHT_COORDS > 0\\n\\tvarying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];\\n#endif\\n#if NUM_SPOT_LIGHT_MAPS > 0\\n\\tuniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ];\\n#endif\\n#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\n\\t\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\n\\t}\\n\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\n\\t\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\n\\t}\\n\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\n\\t\\tfloat occlusion = 1.0;\\n\\t\\tvec2 distribution = texture2DDistribution( shadow, uv );\\n\\t\\tfloat hard_shadow = step( compare , distribution.x );\\n\\t\\tif (hard_shadow != 1.0 ) {\\n\\t\\t\\tfloat distance = compare - distribution.x ;\\n\\t\\t\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\n\\t\\t\\tfloat softness_probability = variance / (variance + distance * distance );\\t\\t\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );\\t\\t\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\n\\t\\t}\\n\\t\\treturn occlusion;\\n\\t}\\n\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\n\\t\\tfloat shadow = 1.0;\\n\\t\\tshadowCoord.xyz /= shadowCoord.w;\\n\\t\\tshadowCoord.z += shadowBias;\\n\\t\\tbool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0;\\n\\t\\tbool frustumTest = inFrustum && shadowCoord.z <= 1.0;\\n\\t\\tif ( frustumTest ) {\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx0 = - texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy0 = - texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx1 = + texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy1 = + texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx2 = dx0 / 2.0;\\n\\t\\t\\tfloat dy2 = dy0 / 2.0;\\n\\t\\t\\tfloat dx3 = dx1 / 2.0;\\n\\t\\t\\tfloat dy3 = dy1 / 2.0;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\n\\t\\t\\t) * ( 1.0 / 17.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx = texelSize.x;\\n\\t\\t\\tfloat dy = texelSize.y;\\n\\t\\t\\tvec2 uv = shadowCoord.xy;\\n\\t\\t\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\n\\t\\t\\tuv -= f * texelSize;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t f.y )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#else\\n\\t\\t\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#endif\\n\\t\\t}\\n\\t\\treturn shadow;\\n\\t}\\n\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\n\\t\\tvec3 absV = abs( v );\\n\\t\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\n\\t\\tabsV *= scaleToCube;\\n\\t\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\n\\t\\tvec2 planar = v.xy;\\n\\t\\tfloat almostATexel = 1.5 * texelSizeY;\\n\\t\\tfloat almostOne = 1.0 - almostATexel;\\n\\t\\tif ( absV.z >= almostOne ) {\\n\\t\\t\\tif ( v.z > 0.0 )\\n\\t\\t\\t\\tplanar.x = 4.0 - v.x;\\n\\t\\t} else if ( absV.x >= almostOne ) {\\n\\t\\t\\tfloat signX = sign( v.x );\\n\\t\\t\\tplanar.x = v.z * signX + 2.0 * signX;\\n\\t\\t} else if ( absV.y >= almostOne ) {\\n\\t\\t\\tfloat signY = sign( v.y );\\n\\t\\t\\tplanar.x = v.x + 2.0 * signY + 2.0;\\n\\t\\t\\tplanar.y = v.z * signY - 2.0;\\n\\t\\t}\\n\\t\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\n\\t}\\n\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\n\\t\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\n\\t\\tvec3 lightToPosition = shadowCoord.xyz;\\n\\t\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\\t\\tdp += shadowBias;\\n\\t\\tvec3 bd3D = normalize( lightToPosition );\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\n\\t\\t\\treturn (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#else\\n\\t\\t\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\n\\t\\t#endif\\n\\t}\\n#endif\";\n\nvar shadowmap_pars_vertex = \"#if NUM_SPOT_LIGHT_COORDS > 0\\n\\tuniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ];\\n\\tvarying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];\\n#endif\\n#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n#endif\";\n\nvar shadowmap_vertex = \"#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 )\\n\\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\tvec4 shadowWorldPosition;\\n#endif\\n#if defined( USE_SHADOWMAP )\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\t\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\t\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if NUM_SPOT_LIGHT_COORDS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) {\\n\\t\\tshadowWorldPosition = worldPosition;\\n\\t\\t#if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\t\\tshadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias;\\n\\t\\t#endif\\n\\t\\tvSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition;\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\";\n\nvar shadowmask_pars_fragment = \"float getShadowMask() {\\n\\tfloat shadow = 1.0;\\n\\t#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tspotLight = spotLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tpointLight = pointLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#endif\\n\\treturn shadow;\\n}\";\n\nvar skinbase_vertex = \"#ifdef USE_SKINNING\\n\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\n\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\n\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\n\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\n#endif\";\n\nvar skinning_pars_vertex = \"#ifdef USE_SKINNING\\n\\tuniform mat4 bindMatrix;\\n\\tuniform mat4 bindMatrixInverse;\\n\\tuniform highp sampler2D boneTexture;\\n\\tmat4 getBoneMatrix( const in float i ) {\\n\\t\\tint size = textureSize( boneTexture, 0 ).x;\\n\\t\\tint j = int( i ) * 4;\\n\\t\\tint x = j % size;\\n\\t\\tint y = j / size;\\n\\t\\tvec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 );\\n\\t\\tvec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 );\\n\\t\\tvec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 );\\n\\t\\tvec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 );\\n\\t\\treturn mat4( v1, v2, v3, v4 );\\n\\t}\\n#endif\";\n\nvar skinning_vertex = \"#ifdef USE_SKINNING\\n\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\n\\tvec4 skinned = vec4( 0.0 );\\n\\tskinned += boneMatX * skinVertex * skinWeight.x;\\n\\tskinned += boneMatY * skinVertex * skinWeight.y;\\n\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\n\\tskinned += boneMatW * skinVertex * skinWeight.w;\\n\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\n#endif\";\n\nvar skinnormal_vertex = \"#ifdef USE_SKINNING\\n\\tmat4 skinMatrix = mat4( 0.0 );\\n\\tskinMatrix += skinWeight.x * boneMatX;\\n\\tskinMatrix += skinWeight.y * boneMatY;\\n\\tskinMatrix += skinWeight.z * boneMatZ;\\n\\tskinMatrix += skinWeight.w * boneMatW;\\n\\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\\n\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\n\\t#ifdef USE_TANGENT\\n\\t\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\t#endif\\n#endif\";\n\nvar specularmap_fragment = \"float specularStrength;\\n#ifdef USE_SPECULARMAP\\n\\tvec4 texelSpecular = texture2D( specularMap, vSpecularMapUv );\\n\\tspecularStrength = texelSpecular.r;\\n#else\\n\\tspecularStrength = 1.0;\\n#endif\";\n\nvar specularmap_pars_fragment = \"#ifdef USE_SPECULARMAP\\n\\tuniform sampler2D specularMap;\\n#endif\";\n\nvar tonemapping_fragment = \"#if defined( TONE_MAPPING )\\n\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\n#endif\";\n\nvar tonemapping_pars_fragment = \"#ifndef saturate\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\nuniform float toneMappingExposure;\\nvec3 LinearToneMapping( vec3 color ) {\\n\\treturn saturate( toneMappingExposure * color );\\n}\\nvec3 ReinhardToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\n}\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\n\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\n}\\nvec3 RRTAndODTFit( vec3 v ) {\\n\\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\\n\\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\\n\\treturn a / b;\\n}\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\n\\tconst mat3 ACESInputMat = mat3(\\n\\t\\tvec3( 0.59719, 0.07600, 0.02840 ),\\t\\tvec3( 0.35458, 0.90834, 0.13383 ),\\n\\t\\tvec3( 0.04823, 0.01566, 0.83777 )\\n\\t);\\n\\tconst mat3 ACESOutputMat = mat3(\\n\\t\\tvec3( 1.60475, -0.10208, -0.00327 ),\\t\\tvec3( -0.53108, 1.10813, -0.07276 ),\\n\\t\\tvec3( -0.07367, -0.00605, 1.07602 )\\n\\t);\\n\\tcolor *= toneMappingExposure / 0.6;\\n\\tcolor = ACESInputMat * color;\\n\\tcolor = RRTAndODTFit( color );\\n\\tcolor = ACESOutputMat * color;\\n\\treturn saturate( color );\\n}\\nconst mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3(\\n\\tvec3( 1.6605, - 0.1246, - 0.0182 ),\\n\\tvec3( - 0.5876, 1.1329, - 0.1006 ),\\n\\tvec3( - 0.0728, - 0.0083, 1.1187 )\\n);\\nconst mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3(\\n\\tvec3( 0.6274, 0.0691, 0.0164 ),\\n\\tvec3( 0.3293, 0.9195, 0.0880 ),\\n\\tvec3( 0.0433, 0.0113, 0.8956 )\\n);\\nvec3 agxDefaultContrastApprox( vec3 x ) {\\n\\tvec3 x2 = x * x;\\n\\tvec3 x4 = x2 * x2;\\n\\treturn + 15.5 * x4 * x2\\n\\t\\t- 40.14 * x4 * x\\n\\t\\t+ 31.96 * x4\\n\\t\\t- 6.868 * x2 * x\\n\\t\\t+ 0.4298 * x2\\n\\t\\t+ 0.1191 * x\\n\\t\\t- 0.00232;\\n}\\nvec3 AgXToneMapping( vec3 color ) {\\n\\tconst mat3 AgXInsetMatrix = mat3(\\n\\t\\tvec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ),\\n\\t\\tvec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ),\\n\\t\\tvec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 )\\n\\t);\\n\\tconst mat3 AgXOutsetMatrix = mat3(\\n\\t\\tvec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ),\\n\\t\\tvec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ),\\n\\t\\tvec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 )\\n\\t);\\n\\tconst float AgxMinEv = - 12.47393;\\tconst float AgxMaxEv = 4.026069;\\n\\tcolor = LINEAR_SRGB_TO_LINEAR_REC2020 * color;\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = AgXInsetMatrix * color;\\n\\tcolor = max( color, 1e-10 );\\tcolor = log2( color );\\n\\tcolor = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv );\\n\\tcolor = clamp( color, 0.0, 1.0 );\\n\\tcolor = agxDefaultContrastApprox( color );\\n\\tcolor = AgXOutsetMatrix * color;\\n\\tcolor = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) );\\n\\tcolor = LINEAR_REC2020_TO_LINEAR_SRGB * color;\\n\\treturn color;\\n}\\nvec3 CustomToneMapping( vec3 color ) { return color; }\";\n\nvar transmission_fragment = \"#ifdef USE_TRANSMISSION\\n\\tmaterial.transmission = transmission;\\n\\tmaterial.transmissionAlpha = 1.0;\\n\\tmaterial.thickness = thickness;\\n\\tmaterial.attenuationDistance = attenuationDistance;\\n\\tmaterial.attenuationColor = attenuationColor;\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\t\\tmaterial.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;\\n\\t#endif\\n\\t#ifdef USE_THICKNESSMAP\\n\\t\\tmaterial.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;\\n\\t#endif\\n\\tvec3 pos = vWorldPosition;\\n\\tvec3 v = normalize( cameraPosition - pos );\\n\\tvec3 n = inverseTransformDirection( normal, viewMatrix );\\n\\tvec4 transmitted = getIBLVolumeRefraction(\\n\\t\\tn, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\\n\\t\\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,\\n\\t\\tmaterial.attenuationColor, material.attenuationDistance );\\n\\tmaterial.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );\\n\\ttotalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission );\\n#endif\";\n\nvar transmission_pars_fragment = \"#ifdef USE_TRANSMISSION\\n\\tuniform float transmission;\\n\\tuniform float thickness;\\n\\tuniform float attenuationDistance;\\n\\tuniform vec3 attenuationColor;\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\t\\tuniform sampler2D transmissionMap;\\n\\t#endif\\n\\t#ifdef USE_THICKNESSMAP\\n\\t\\tuniform sampler2D thicknessMap;\\n\\t#endif\\n\\tuniform vec2 transmissionSamplerSize;\\n\\tuniform sampler2D transmissionSamplerMap;\\n\\tuniform mat4 modelMatrix;\\n\\tuniform mat4 projectionMatrix;\\n\\tvarying vec3 vWorldPosition;\\n\\tfloat w0( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );\\n\\t}\\n\\tfloat w1( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 );\\n\\t}\\n\\tfloat w2( float a ){\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );\\n\\t}\\n\\tfloat w3( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * a * a );\\n\\t}\\n\\tfloat g0( float a ) {\\n\\t\\treturn w0( a ) + w1( a );\\n\\t}\\n\\tfloat g1( float a ) {\\n\\t\\treturn w2( a ) + w3( a );\\n\\t}\\n\\tfloat h0( float a ) {\\n\\t\\treturn - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );\\n\\t}\\n\\tfloat h1( float a ) {\\n\\t\\treturn 1.0 + w3( a ) / ( w2( a ) + w3( a ) );\\n\\t}\\n\\tvec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {\\n\\t\\tuv = uv * texelSize.zw + 0.5;\\n\\t\\tvec2 iuv = floor( uv );\\n\\t\\tvec2 fuv = fract( uv );\\n\\t\\tfloat g0x = g0( fuv.x );\\n\\t\\tfloat g1x = g1( fuv.x );\\n\\t\\tfloat h0x = h0( fuv.x );\\n\\t\\tfloat h1x = h1( fuv.x );\\n\\t\\tfloat h0y = h0( fuv.y );\\n\\t\\tfloat h1y = h1( fuv.y );\\n\\t\\tvec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\\n\\t\\treturn g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +\\n\\t\\t\\tg1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );\\n\\t}\\n\\tvec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {\\n\\t\\tvec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );\\n\\t\\tvec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );\\n\\t\\tvec2 fLodSizeInv = 1.0 / fLodSize;\\n\\t\\tvec2 cLodSizeInv = 1.0 / cLodSize;\\n\\t\\tvec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );\\n\\t\\tvec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );\\n\\t\\treturn mix( fSample, cSample, fract( lod ) );\\n\\t}\\n\\tvec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {\\n\\t\\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\\n\\t\\tvec3 modelScale;\\n\\t\\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\\n\\t\\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\\n\\t\\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\\n\\t\\treturn normalize( refractionVector ) * thickness * modelScale;\\n\\t}\\n\\tfloat applyIorToRoughness( const in float roughness, const in float ior ) {\\n\\t\\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\\n\\t}\\n\\tvec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {\\n\\t\\tfloat lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\\n\\t\\treturn textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );\\n\\t}\\n\\tvec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {\\n\\t\\tif ( isinf( attenuationDistance ) ) {\\n\\t\\t\\treturn vec3( 1.0 );\\n\\t\\t} else {\\n\\t\\t\\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\\n\\t\\t\\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );\\t\\t\\treturn transmittance;\\n\\t\\t}\\n\\t}\\n\\tvec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,\\n\\t\\tconst in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,\\n\\t\\tconst in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,\\n\\t\\tconst in vec3 attenuationColor, const in float attenuationDistance ) {\\n\\t\\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\\n\\t\\tvec3 refractedRayExit = position + transmissionRay;\\n\\t\\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\\n\\t\\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\\n\\t\\trefractionCoords += 1.0;\\n\\t\\trefractionCoords /= 2.0;\\n\\t\\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\\n\\t\\tvec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );\\n\\t\\tvec3 attenuatedColor = transmittance * transmittedLight.rgb;\\n\\t\\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\\n\\t\\tfloat transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;\\n\\t\\treturn vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );\\n\\t}\\n#endif\";\n\nvar uv_pars_fragment = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvarying vec2 vUv;\\n#endif\\n#ifdef USE_MAP\\n\\tvarying vec2 vMapUv;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tvarying vec2 vAlphaMapUv;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tvarying vec2 vLightMapUv;\\n#endif\\n#ifdef USE_AOMAP\\n\\tvarying vec2 vAoMapUv;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tvarying vec2 vBumpMapUv;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tvarying vec2 vNormalMapUv;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tvarying vec2 vEmissiveMapUv;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tvarying vec2 vMetalnessMapUv;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tvarying vec2 vRoughnessMapUv;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tvarying vec2 vAnisotropyMapUv;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tvarying vec2 vClearcoatMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvarying vec2 vClearcoatNormalMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tvarying vec2 vClearcoatRoughnessMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tvarying vec2 vIridescenceMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tvarying vec2 vIridescenceThicknessMapUv;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tvarying vec2 vSheenColorMapUv;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tvarying vec2 vSheenRoughnessMapUv;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tvarying vec2 vSpecularMapUv;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tvarying vec2 vSpecularColorMapUv;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tvarying vec2 vSpecularIntensityMapUv;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tuniform mat3 transmissionMapTransform;\\n\\tvarying vec2 vTransmissionMapUv;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tuniform mat3 thicknessMapTransform;\\n\\tvarying vec2 vThicknessMapUv;\\n#endif\";\n\nvar uv_pars_vertex = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvarying vec2 vUv;\\n#endif\\n#ifdef USE_MAP\\n\\tuniform mat3 mapTransform;\\n\\tvarying vec2 vMapUv;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform mat3 alphaMapTransform;\\n\\tvarying vec2 vAlphaMapUv;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tuniform mat3 lightMapTransform;\\n\\tvarying vec2 vLightMapUv;\\n#endif\\n#ifdef USE_AOMAP\\n\\tuniform mat3 aoMapTransform;\\n\\tvarying vec2 vAoMapUv;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tuniform mat3 bumpMapTransform;\\n\\tvarying vec2 vBumpMapUv;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tuniform mat3 normalMapTransform;\\n\\tvarying vec2 vNormalMapUv;\\n#endif\\n#ifdef USE_DISPLACEMENTMAP\\n\\tuniform mat3 displacementMapTransform;\\n\\tvarying vec2 vDisplacementMapUv;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tuniform mat3 emissiveMapTransform;\\n\\tvarying vec2 vEmissiveMapUv;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tuniform mat3 metalnessMapTransform;\\n\\tvarying vec2 vMetalnessMapUv;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tuniform mat3 roughnessMapTransform;\\n\\tvarying vec2 vRoughnessMapUv;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tuniform mat3 anisotropyMapTransform;\\n\\tvarying vec2 vAnisotropyMapUv;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tuniform mat3 clearcoatMapTransform;\\n\\tvarying vec2 vClearcoatMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform mat3 clearcoatNormalMapTransform;\\n\\tvarying vec2 vClearcoatNormalMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform mat3 clearcoatRoughnessMapTransform;\\n\\tvarying vec2 vClearcoatRoughnessMapUv;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tuniform mat3 sheenColorMapTransform;\\n\\tvarying vec2 vSheenColorMapUv;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tuniform mat3 sheenRoughnessMapTransform;\\n\\tvarying vec2 vSheenRoughnessMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tuniform mat3 iridescenceMapTransform;\\n\\tvarying vec2 vIridescenceMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tuniform mat3 iridescenceThicknessMapTransform;\\n\\tvarying vec2 vIridescenceThicknessMapUv;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tuniform mat3 specularMapTransform;\\n\\tvarying vec2 vSpecularMapUv;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tuniform mat3 specularColorMapTransform;\\n\\tvarying vec2 vSpecularColorMapUv;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tuniform mat3 specularIntensityMapTransform;\\n\\tvarying vec2 vSpecularIntensityMapUv;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tuniform mat3 transmissionMapTransform;\\n\\tvarying vec2 vTransmissionMapUv;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tuniform mat3 thicknessMapTransform;\\n\\tvarying vec2 vThicknessMapUv;\\n#endif\";\n\nvar uv_vertex = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvUv = vec3( uv, 1 ).xy;\\n#endif\\n#ifdef USE_MAP\\n\\tvMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tvAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tvLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_AOMAP\\n\\tvAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tvBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tvNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_DISPLACEMENTMAP\\n\\tvDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tvEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tvMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tvRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tvAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tvClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tvClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tvIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tvIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tvSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tvSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tvSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tvSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tvSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tvTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tvThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy;\\n#endif\";\n\nvar worldpos_vertex = \"#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0\\n\\tvec4 worldPosition = vec4( transformed, 1.0 );\\n\\t#ifdef USE_BATCHING\\n\\t\\tworldPosition = batchingMatrix * worldPosition;\\n\\t#endif\\n\\t#ifdef USE_INSTANCING\\n\\t\\tworldPosition = instanceMatrix * worldPosition;\\n\\t#endif\\n\\tworldPosition = modelMatrix * worldPosition;\\n#endif\";\n\nconst vertex$h = \"varying vec2 vUv;\\nuniform mat3 uvTransform;\\nvoid main() {\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\n}\";\n\nconst fragment$h = \"uniform sampler2D t2D;\\nuniform float backgroundIntensity;\\nvarying vec2 vUv;\\nvoid main() {\\n\\tvec4 texColor = texture2D( t2D, vUv );\\n\\t#ifdef DECODE_VIDEO_TEXTURE\\n\\t\\ttexColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w );\\n\\t#endif\\n\\ttexColor.rgb *= backgroundIntensity;\\n\\tgl_FragColor = texColor;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$g = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n\\tgl_Position.z = gl_Position.w;\\n}\";\n\nconst fragment$g = \"#ifdef ENVMAP_TYPE_CUBE\\n\\tuniform samplerCube envMap;\\n#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\tuniform sampler2D envMap;\\n#endif\\nuniform float flipEnvMap;\\nuniform float backgroundBlurriness;\\nuniform float backgroundIntensity;\\nvarying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) );\\n\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tvec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness );\\n\\t#else\\n\\t\\tvec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\t#endif\\n\\ttexColor.rgb *= backgroundIntensity;\\n\\tgl_FragColor = texColor;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$f = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n\\tgl_Position.z = gl_Position.w;\\n}\";\n\nconst fragment$f = \"uniform samplerCube tCube;\\nuniform float tFlip;\\nuniform float opacity;\\nvarying vec3 vWorldDirection;\\nvoid main() {\\n\\tvec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );\\n\\tgl_FragColor = texColor;\\n\\tgl_FragColor.a *= opacity;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$e = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvHighPrecisionZW = gl_Position.zw;\\n}\";\n\nconst fragment$e = \"#if DEPTH_PACKING == 3200\\n\\tuniform float opacity;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tdiffuseColor.a = opacity;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\n\\t#elif DEPTH_PACKING == 3201\\n\\t\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\n\\t#endif\\n}\";\n\nconst vertex$d = \"#define DISTANCE\\nvarying vec3 vWorldPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvWorldPosition = worldPosition.xyz;\\n}\";\n\nconst fragment$d = \"#define DISTANCE\\nuniform vec3 referencePosition;\\nuniform float nearDistance;\\nuniform float farDistance;\\nvarying vec3 vWorldPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main () {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tfloat dist = length( vWorldPosition - referencePosition );\\n\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\n\\tdist = saturate( dist );\\n\\tgl_FragColor = packDepthToRGBA( dist );\\n}\";\n\nconst vertex$c = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$c = \"uniform sampler2D tEquirect;\\nvarying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvec3 direction = normalize( vWorldDirection );\\n\\tvec2 sampleUV = equirectUv( direction );\\n\\tgl_FragColor = texture2D( tEquirect, sampleUV );\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$b = \"uniform float scale;\\nattribute float lineDistance;\\nvarying float vLineDistance;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\tvLineDistance = scale * lineDistance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$b = \"uniform vec3 diffuse;\\nuniform float opacity;\\nuniform float dashSize;\\nuniform float totalSize;\\nvarying float vLineDistance;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\n\\t\\tdiscard;\\n\\t}\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$a = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$a = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\t\\treflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI;\\n\\t#else\\n\\t\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\n\\t#endif\\n\\t#include \\n\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\n\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$9 = \"#define LAMBERT\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$9 = \"#define LAMBERT\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$8 = \"#define MATCAP\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n}\";\n\nconst fragment$8 = \"#define MATCAP\\nuniform vec3 diffuse;\\nuniform float opacity;\\nuniform sampler2D matcap;\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 viewDir = normalize( vViewPosition );\\n\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\n\\tvec3 y = cross( viewDir, x );\\n\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;\\n\\t#ifdef USE_MATCAP\\n\\t\\tvec4 matcapColor = texture2D( matcap, uv );\\n\\t#else\\n\\t\\tvec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 );\\n\\t#endif\\n\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$7 = \"#define NORMAL\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvViewPosition = - mvPosition.xyz;\\n#endif\\n}\";\n\nconst fragment$7 = \"#define NORMAL\\nuniform float opacity;\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\n\\t#ifdef OPAQUE\\n\\t\\tgl_FragColor.a = 1.0;\\n\\t#endif\\n}\";\n\nconst vertex$6 = \"#define PHONG\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$6 = \"#define PHONG\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform vec3 specular;\\nuniform float shininess;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$5 = \"#define STANDARD\\nvarying vec3 vViewPosition;\\n#ifdef USE_TRANSMISSION\\n\\tvarying vec3 vWorldPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n#ifdef USE_TRANSMISSION\\n\\tvWorldPosition = worldPosition.xyz;\\n#endif\\n}\";\n\nconst fragment$5 = \"#define STANDARD\\n#ifdef PHYSICAL\\n\\t#define IOR\\n\\t#define USE_SPECULAR\\n#endif\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float roughness;\\nuniform float metalness;\\nuniform float opacity;\\n#ifdef IOR\\n\\tuniform float ior;\\n#endif\\n#ifdef USE_SPECULAR\\n\\tuniform float specularIntensity;\\n\\tuniform vec3 specularColor;\\n\\t#ifdef USE_SPECULAR_COLORMAP\\n\\t\\tuniform sampler2D specularColorMap;\\n\\t#endif\\n\\t#ifdef USE_SPECULAR_INTENSITYMAP\\n\\t\\tuniform sampler2D specularIntensityMap;\\n\\t#endif\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tuniform float clearcoat;\\n\\tuniform float clearcoatRoughness;\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tuniform float iridescence;\\n\\tuniform float iridescenceIOR;\\n\\tuniform float iridescenceThicknessMinimum;\\n\\tuniform float iridescenceThicknessMaximum;\\n#endif\\n#ifdef USE_SHEEN\\n\\tuniform vec3 sheenColor;\\n\\tuniform float sheenRoughness;\\n\\t#ifdef USE_SHEEN_COLORMAP\\n\\t\\tuniform sampler2D sheenColorMap;\\n\\t#endif\\n\\t#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\t\\tuniform sampler2D sheenRoughnessMap;\\n\\t#endif\\n#endif\\n#ifdef USE_ANISOTROPY\\n\\tuniform vec2 anisotropyVector;\\n\\t#ifdef USE_ANISOTROPYMAP\\n\\t\\tuniform sampler2D anisotropyMap;\\n\\t#endif\\n#endif\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;\\n\\tvec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;\\n\\t#include \\n\\tvec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;\\n\\t#ifdef USE_SHEEN\\n\\t\\tfloat sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor );\\n\\t\\toutgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) );\\n\\t\\tvec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );\\n\\t\\toutgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$4 = \"#define TOON\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$4 = \"#define TOON\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$3 = \"uniform float size;\\nuniform float scale;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#ifdef USE_POINTS_UV\\n\\tvarying vec2 vUv;\\n\\tuniform mat3 uvTransform;\\n#endif\\nvoid main() {\\n\\t#ifdef USE_POINTS_UV\\n\\t\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tgl_PointSize = size;\\n\\t#ifdef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$3 = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$2 = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$2 = \"uniform vec3 color;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$1 = \"uniform float rotation;\\nuniform vec2 center;\\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\tvec2 scale;\\n\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\n\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\n\\t#ifndef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) scale *= - mvPosition.z;\\n\\t#endif\\n\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\n\\tvec2 rotatedPosition;\\n\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\n\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\n\\tmvPosition.xy += rotatedPosition;\\n\\tgl_Position = projectionMatrix * mvPosition;\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$1 = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst ShaderChunk = {\n\talphahash_fragment: alphahash_fragment,\n\talphahash_pars_fragment: alphahash_pars_fragment,\n\talphamap_fragment: alphamap_fragment,\n\talphamap_pars_fragment: alphamap_pars_fragment,\n\talphatest_fragment: alphatest_fragment,\n\talphatest_pars_fragment: alphatest_pars_fragment,\n\taomap_fragment: aomap_fragment,\n\taomap_pars_fragment: aomap_pars_fragment,\n\tbatching_pars_vertex: batching_pars_vertex,\n\tbatching_vertex: batching_vertex,\n\tbegin_vertex: begin_vertex,\n\tbeginnormal_vertex: beginnormal_vertex,\n\tbsdfs: bsdfs,\n\tiridescence_fragment: iridescence_fragment,\n\tbumpmap_pars_fragment: bumpmap_pars_fragment,\n\tclipping_planes_fragment: clipping_planes_fragment,\n\tclipping_planes_pars_fragment: clipping_planes_pars_fragment,\n\tclipping_planes_pars_vertex: clipping_planes_pars_vertex,\n\tclipping_planes_vertex: clipping_planes_vertex,\n\tcolor_fragment: color_fragment,\n\tcolor_pars_fragment: color_pars_fragment,\n\tcolor_pars_vertex: color_pars_vertex,\n\tcolor_vertex: color_vertex,\n\tcommon: common,\n\tcube_uv_reflection_fragment: cube_uv_reflection_fragment,\n\tdefaultnormal_vertex: defaultnormal_vertex,\n\tdisplacementmap_pars_vertex: displacementmap_pars_vertex,\n\tdisplacementmap_vertex: displacementmap_vertex,\n\temissivemap_fragment: emissivemap_fragment,\n\temissivemap_pars_fragment: emissivemap_pars_fragment,\n\tcolorspace_fragment: colorspace_fragment,\n\tcolorspace_pars_fragment: colorspace_pars_fragment,\n\tenvmap_fragment: envmap_fragment,\n\tenvmap_common_pars_fragment: envmap_common_pars_fragment,\n\tenvmap_pars_fragment: envmap_pars_fragment,\n\tenvmap_pars_vertex: envmap_pars_vertex,\n\tenvmap_physical_pars_fragment: envmap_physical_pars_fragment,\n\tenvmap_vertex: envmap_vertex,\n\tfog_vertex: fog_vertex,\n\tfog_pars_vertex: fog_pars_vertex,\n\tfog_fragment: fog_fragment,\n\tfog_pars_fragment: fog_pars_fragment,\n\tgradientmap_pars_fragment: gradientmap_pars_fragment,\n\tlightmap_fragment: lightmap_fragment,\n\tlightmap_pars_fragment: lightmap_pars_fragment,\n\tlights_lambert_fragment: lights_lambert_fragment,\n\tlights_lambert_pars_fragment: lights_lambert_pars_fragment,\n\tlights_pars_begin: lights_pars_begin,\n\tlights_toon_fragment: lights_toon_fragment,\n\tlights_toon_pars_fragment: lights_toon_pars_fragment,\n\tlights_phong_fragment: lights_phong_fragment,\n\tlights_phong_pars_fragment: lights_phong_pars_fragment,\n\tlights_physical_fragment: lights_physical_fragment,\n\tlights_physical_pars_fragment: lights_physical_pars_fragment,\n\tlights_fragment_begin: lights_fragment_begin,\n\tlights_fragment_maps: lights_fragment_maps,\n\tlights_fragment_end: lights_fragment_end,\n\tlogdepthbuf_fragment: logdepthbuf_fragment,\n\tlogdepthbuf_pars_fragment: logdepthbuf_pars_fragment,\n\tlogdepthbuf_pars_vertex: logdepthbuf_pars_vertex,\n\tlogdepthbuf_vertex: logdepthbuf_vertex,\n\tmap_fragment: map_fragment,\n\tmap_pars_fragment: map_pars_fragment,\n\tmap_particle_fragment: map_particle_fragment,\n\tmap_particle_pars_fragment: map_particle_pars_fragment,\n\tmetalnessmap_fragment: metalnessmap_fragment,\n\tmetalnessmap_pars_fragment: metalnessmap_pars_fragment,\n\tmorphcolor_vertex: morphcolor_vertex,\n\tmorphnormal_vertex: morphnormal_vertex,\n\tmorphtarget_pars_vertex: morphtarget_pars_vertex,\n\tmorphtarget_vertex: morphtarget_vertex,\n\tnormal_fragment_begin: normal_fragment_begin,\n\tnormal_fragment_maps: normal_fragment_maps,\n\tnormal_pars_fragment: normal_pars_fragment,\n\tnormal_pars_vertex: normal_pars_vertex,\n\tnormal_vertex: normal_vertex,\n\tnormalmap_pars_fragment: normalmap_pars_fragment,\n\tclearcoat_normal_fragment_begin: clearcoat_normal_fragment_begin,\n\tclearcoat_normal_fragment_maps: clearcoat_normal_fragment_maps,\n\tclearcoat_pars_fragment: clearcoat_pars_fragment,\n\tiridescence_pars_fragment: iridescence_pars_fragment,\n\topaque_fragment: opaque_fragment,\n\tpacking: packing,\n\tpremultiplied_alpha_fragment: premultiplied_alpha_fragment,\n\tproject_vertex: project_vertex,\n\tdithering_fragment: dithering_fragment,\n\tdithering_pars_fragment: dithering_pars_fragment,\n\troughnessmap_fragment: roughnessmap_fragment,\n\troughnessmap_pars_fragment: roughnessmap_pars_fragment,\n\tshadowmap_pars_fragment: shadowmap_pars_fragment,\n\tshadowmap_pars_vertex: shadowmap_pars_vertex,\n\tshadowmap_vertex: shadowmap_vertex,\n\tshadowmask_pars_fragment: shadowmask_pars_fragment,\n\tskinbase_vertex: skinbase_vertex,\n\tskinning_pars_vertex: skinning_pars_vertex,\n\tskinning_vertex: skinning_vertex,\n\tskinnormal_vertex: skinnormal_vertex,\n\tspecularmap_fragment: specularmap_fragment,\n\tspecularmap_pars_fragment: specularmap_pars_fragment,\n\ttonemapping_fragment: tonemapping_fragment,\n\ttonemapping_pars_fragment: tonemapping_pars_fragment,\n\ttransmission_fragment: transmission_fragment,\n\ttransmission_pars_fragment: transmission_pars_fragment,\n\tuv_pars_fragment: uv_pars_fragment,\n\tuv_pars_vertex: uv_pars_vertex,\n\tuv_vertex: uv_vertex,\n\tworldpos_vertex: worldpos_vertex,\n\n\tbackground_vert: vertex$h,\n\tbackground_frag: fragment$h,\n\tbackgroundCube_vert: vertex$g,\n\tbackgroundCube_frag: fragment$g,\n\tcube_vert: vertex$f,\n\tcube_frag: fragment$f,\n\tdepth_vert: vertex$e,\n\tdepth_frag: fragment$e,\n\tdistanceRGBA_vert: vertex$d,\n\tdistanceRGBA_frag: fragment$d,\n\tequirect_vert: vertex$c,\n\tequirect_frag: fragment$c,\n\tlinedashed_vert: vertex$b,\n\tlinedashed_frag: fragment$b,\n\tmeshbasic_vert: vertex$a,\n\tmeshbasic_frag: fragment$a,\n\tmeshlambert_vert: vertex$9,\n\tmeshlambert_frag: fragment$9,\n\tmeshmatcap_vert: vertex$8,\n\tmeshmatcap_frag: fragment$8,\n\tmeshnormal_vert: vertex$7,\n\tmeshnormal_frag: fragment$7,\n\tmeshphong_vert: vertex$6,\n\tmeshphong_frag: fragment$6,\n\tmeshphysical_vert: vertex$5,\n\tmeshphysical_frag: fragment$5,\n\tmeshtoon_vert: vertex$4,\n\tmeshtoon_frag: fragment$4,\n\tpoints_vert: vertex$3,\n\tpoints_frag: fragment$3,\n\tshadow_vert: vertex$2,\n\tshadow_frag: fragment$2,\n\tsprite_vert: vertex$1,\n\tsprite_frag: fragment$1\n};\n\n/**\n * Uniforms library for shared webgl shaders\n */\n\nconst UniformsLib = {\n\n\tcommon: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\n\t\tmap: { value: null },\n\t\tmapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\n\t\talphaTest: { value: 0 }\n\n\t},\n\n\tspecularmap: {\n\n\t\tspecularMap: { value: null },\n\t\tspecularMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tenvmap: {\n\n\t\tenvMap: { value: null },\n\t\tflipEnvMap: { value: - 1 },\n\t\treflectivity: { value: 1.0 }, // basic, lambert, phong\n\t\tior: { value: 1.5 }, // physical\n\t\trefractionRatio: { value: 0.98 }, // basic, lambert, phong\n\n\t},\n\n\taomap: {\n\n\t\taoMap: { value: null },\n\t\taoMapIntensity: { value: 1 },\n\t\taoMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tlightmap: {\n\n\t\tlightMap: { value: null },\n\t\tlightMapIntensity: { value: 1 },\n\t\tlightMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tbumpmap: {\n\n\t\tbumpMap: { value: null },\n\t\tbumpMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tbumpScale: { value: 1 }\n\n\t},\n\n\tnormalmap: {\n\n\t\tnormalMap: { value: null },\n\t\tnormalMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tnormalScale: { value: /*@__PURE__*/ new Vector2( 1, 1 ) }\n\n\t},\n\n\tdisplacementmap: {\n\n\t\tdisplacementMap: { value: null },\n\t\tdisplacementMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tdisplacementScale: { value: 1 },\n\t\tdisplacementBias: { value: 0 }\n\n\t},\n\n\temissivemap: {\n\n\t\temissiveMap: { value: null },\n\t\temissiveMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tmetalnessmap: {\n\n\t\tmetalnessMap: { value: null },\n\t\tmetalnessMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\troughnessmap: {\n\n\t\troughnessMap: { value: null },\n\t\troughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tgradientmap: {\n\n\t\tgradientMap: { value: null }\n\n\t},\n\n\tfog: {\n\n\t\tfogDensity: { value: 0.00025 },\n\t\tfogNear: { value: 1 },\n\t\tfogFar: { value: 2000 },\n\t\tfogColor: { value: /*@__PURE__*/ new Color( 0xffffff ) }\n\n\t},\n\n\tlights: {\n\n\t\tambientLightColor: { value: [] },\n\n\t\tlightProbe: { value: [] },\n\n\t\tdirectionalLights: { value: [], properties: {\n\t\t\tdirection: {},\n\t\t\tcolor: {}\n\t\t} },\n\n\t\tdirectionalLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {}\n\t\t} },\n\n\t\tdirectionalShadowMap: { value: [] },\n\t\tdirectionalShadowMatrix: { value: [] },\n\n\t\tspotLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\tdirection: {},\n\t\t\tdistance: {},\n\t\t\tconeCos: {},\n\t\t\tpenumbraCos: {},\n\t\t\tdecay: {}\n\t\t} },\n\n\t\tspotLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {}\n\t\t} },\n\n\t\tspotLightMap: { value: [] },\n\t\tspotShadowMap: { value: [] },\n\t\tspotLightMatrix: { value: [] },\n\n\t\tpointLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\tdecay: {},\n\t\t\tdistance: {}\n\t\t} },\n\n\t\tpointLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {},\n\t\t\tshadowCameraNear: {},\n\t\t\tshadowCameraFar: {}\n\t\t} },\n\n\t\tpointShadowMap: { value: [] },\n\t\tpointShadowMatrix: { value: [] },\n\n\t\themisphereLights: { value: [], properties: {\n\t\t\tdirection: {},\n\t\t\tskyColor: {},\n\t\t\tgroundColor: {}\n\t\t} },\n\n\t\t// TODO (abelnation): RectAreaLight BRDF data needs to be moved from example to main src\n\t\trectAreaLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\twidth: {},\n\t\t\theight: {}\n\t\t} },\n\n\t\tltc_1: { value: null },\n\t\tltc_2: { value: null }\n\n\t},\n\n\tpoints: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\t\tsize: { value: 1.0 },\n\t\tscale: { value: 1.0 },\n\t\tmap: { value: null },\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaTest: { value: 0 },\n\t\tuvTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tsprite: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\t\tcenter: { value: /*@__PURE__*/ new Vector2( 0.5, 0.5 ) },\n\t\trotation: { value: 0.0 },\n\t\tmap: { value: null },\n\t\tmapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaTest: { value: 0 }\n\n\t}\n\n};\n\nconst ShaderLib = {\n\n\tbasic: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshbasic_vert,\n\t\tfragmentShader: ShaderChunk.meshbasic_frag\n\n\t},\n\n\tlambert: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshlambert_vert,\n\t\tfragmentShader: ShaderChunk.meshlambert_frag\n\n\t},\n\n\tphong: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\t\tspecular: { value: /*@__PURE__*/ new Color( 0x111111 ) },\n\t\t\t\tshininess: { value: 30 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshphong_vert,\n\t\tfragmentShader: ShaderChunk.meshphong_frag\n\n\t},\n\n\tstandard: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.roughnessmap,\n\t\t\tUniformsLib.metalnessmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\t\troughness: { value: 1.0 },\n\t\t\t\tmetalness: { value: 0.0 },\n\t\t\t\tenvMapIntensity: { value: 1 } // temporary\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshphysical_vert,\n\t\tfragmentShader: ShaderChunk.meshphysical_frag\n\n\t},\n\n\ttoon: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.gradientmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshtoon_vert,\n\t\tfragmentShader: ShaderChunk.meshtoon_frag\n\n\t},\n\n\tmatcap: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tmatcap: { value: null }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshmatcap_vert,\n\t\tfragmentShader: ShaderChunk.meshmatcap_frag\n\n\t},\n\n\tpoints: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.points,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.points_vert,\n\t\tfragmentShader: ShaderChunk.points_frag\n\n\t},\n\n\tdashed: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tscale: { value: 1 },\n\t\t\t\tdashSize: { value: 1 },\n\t\t\t\ttotalSize: { value: 2 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.linedashed_vert,\n\t\tfragmentShader: ShaderChunk.linedashed_frag\n\n\t},\n\n\tdepth: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.displacementmap\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.depth_vert,\n\t\tfragmentShader: ShaderChunk.depth_frag\n\n\t},\n\n\tnormal: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\t{\n\t\t\t\topacity: { value: 1.0 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshnormal_vert,\n\t\tfragmentShader: ShaderChunk.meshnormal_frag\n\n\t},\n\n\tsprite: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.sprite,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.sprite_vert,\n\t\tfragmentShader: ShaderChunk.sprite_frag\n\n\t},\n\n\tbackground: {\n\n\t\tuniforms: {\n\t\t\tuvTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tt2D: { value: null },\n\t\t\tbackgroundIntensity: { value: 1 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.background_vert,\n\t\tfragmentShader: ShaderChunk.background_frag\n\n\t},\n\n\tbackgroundCube: {\n\n\t\tuniforms: {\n\t\t\tenvMap: { value: null },\n\t\t\tflipEnvMap: { value: - 1 },\n\t\t\tbackgroundBlurriness: { value: 0 },\n\t\t\tbackgroundIntensity: { value: 1 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.backgroundCube_vert,\n\t\tfragmentShader: ShaderChunk.backgroundCube_frag\n\n\t},\n\n\tcube: {\n\n\t\tuniforms: {\n\t\t\ttCube: { value: null },\n\t\t\ttFlip: { value: - 1 },\n\t\t\topacity: { value: 1.0 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.cube_vert,\n\t\tfragmentShader: ShaderChunk.cube_frag\n\n\t},\n\n\tequirect: {\n\n\t\tuniforms: {\n\t\t\ttEquirect: { value: null },\n\t\t},\n\n\t\tvertexShader: ShaderChunk.equirect_vert,\n\t\tfragmentShader: ShaderChunk.equirect_frag\n\n\t},\n\n\tdistanceRGBA: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.displacementmap,\n\t\t\t{\n\t\t\t\treferencePosition: { value: /*@__PURE__*/ new Vector3() },\n\t\t\t\tnearDistance: { value: 1 },\n\t\t\t\tfarDistance: { value: 1000 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.distanceRGBA_vert,\n\t\tfragmentShader: ShaderChunk.distanceRGBA_frag\n\n\t},\n\n\tshadow: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.lights,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tcolor: { value: /*@__PURE__*/ new Color( 0x00000 ) },\n\t\t\t\topacity: { value: 1.0 }\n\t\t\t},\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.shadow_vert,\n\t\tfragmentShader: ShaderChunk.shadow_frag\n\n\t}\n\n};\n\nShaderLib.physical = {\n\n\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\tShaderLib.standard.uniforms,\n\t\t{\n\t\t\tclearcoat: { value: 0 },\n\t\t\tclearcoatMap: { value: null },\n\t\t\tclearcoatMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tclearcoatNormalMap: { value: null },\n\t\t\tclearcoatNormalMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tclearcoatNormalScale: { value: /*@__PURE__*/ new Vector2( 1, 1 ) },\n\t\t\tclearcoatRoughness: { value: 0 },\n\t\t\tclearcoatRoughnessMap: { value: null },\n\t\t\tclearcoatRoughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tiridescence: { value: 0 },\n\t\t\tiridescenceMap: { value: null },\n\t\t\tiridescenceMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tiridescenceIOR: { value: 1.3 },\n\t\t\tiridescenceThicknessMinimum: { value: 100 },\n\t\t\tiridescenceThicknessMaximum: { value: 400 },\n\t\t\tiridescenceThicknessMap: { value: null },\n\t\t\tiridescenceThicknessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tsheen: { value: 0 },\n\t\t\tsheenColor: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\tsheenColorMap: { value: null },\n\t\t\tsheenColorMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tsheenRoughness: { value: 1 },\n\t\t\tsheenRoughnessMap: { value: null },\n\t\t\tsheenRoughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\ttransmission: { value: 0 },\n\t\t\ttransmissionMap: { value: null },\n\t\t\ttransmissionMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\ttransmissionSamplerSize: { value: /*@__PURE__*/ new Vector2() },\n\t\t\ttransmissionSamplerMap: { value: null },\n\t\t\tthickness: { value: 0 },\n\t\t\tthicknessMap: { value: null },\n\t\t\tthicknessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tattenuationDistance: { value: 0 },\n\t\t\tattenuationColor: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\tspecularColor: { value: /*@__PURE__*/ new Color( 1, 1, 1 ) },\n\t\t\tspecularColorMap: { value: null },\n\t\t\tspecularColorMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tspecularIntensity: { value: 1 },\n\t\t\tspecularIntensityMap: { value: null },\n\t\t\tspecularIntensityMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tanisotropyVector: { value: /*@__PURE__*/ new Vector2() },\n\t\t\tanisotropyMap: { value: null },\n\t\t\tanisotropyMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t}\n\t] ),\n\n\tvertexShader: ShaderChunk.meshphysical_vert,\n\tfragmentShader: ShaderChunk.meshphysical_frag\n\n};\n\nconst _rgb = { r: 0, b: 0, g: 0 };\n\nfunction WebGLBackground( renderer, cubemaps, cubeuvmaps, state, objects, alpha, premultipliedAlpha ) {\n\n\tconst clearColor = new Color( 0x000000 );\n\tlet clearAlpha = alpha === true ? 0 : 1;\n\n\tlet planeMesh;\n\tlet boxMesh;\n\n\tlet currentBackground = null;\n\tlet currentBackgroundVersion = 0;\n\tlet currentTonemapping = null;\n\n\tfunction render( renderList, scene ) {\n\n\t\tlet forceClear = false;\n\t\tlet background = scene.isScene === true ? scene.background : null;\n\n\t\tif ( background && background.isTexture ) {\n\n\t\t\tconst usePMREM = scene.backgroundBlurriness > 0; // use PMREM if the user wants to blur the background\n\t\t\tbackground = ( usePMREM ? cubeuvmaps : cubemaps ).get( background );\n\n\t\t}\n\n\t\tif ( background === null ) {\n\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t} else if ( background && background.isColor ) {\n\n\t\t\tsetClear( background, 1 );\n\t\t\tforceClear = true;\n\n\t\t}\n\n\t\tconst environmentBlendMode = renderer.xr.getEnvironmentBlendMode();\n\n\t\tif ( environmentBlendMode === 'additive' ) {\n\n\t\t\tstate.buffers.color.setClear( 0, 0, 0, 1, premultipliedAlpha );\n\n\t\t} else if ( environmentBlendMode === 'alpha-blend' ) {\n\n\t\t\tstate.buffers.color.setClear( 0, 0, 0, 0, premultipliedAlpha );\n\n\t\t}\n\n\t\tif ( renderer.autoClear || forceClear ) {\n\n\t\t\trenderer.clear( renderer.autoClearColor, renderer.autoClearDepth, renderer.autoClearStencil );\n\n\t\t}\n\n\t\tif ( background && ( background.isCubeTexture || background.mapping === CubeUVReflectionMapping ) ) {\n\n\t\t\tif ( boxMesh === undefined ) {\n\n\t\t\t\tboxMesh = new Mesh(\n\t\t\t\t\tnew BoxGeometry( 1, 1, 1 ),\n\t\t\t\t\tnew ShaderMaterial( {\n\t\t\t\t\t\tname: 'BackgroundCubeMaterial',\n\t\t\t\t\t\tuniforms: cloneUniforms( ShaderLib.backgroundCube.uniforms ),\n\t\t\t\t\t\tvertexShader: ShaderLib.backgroundCube.vertexShader,\n\t\t\t\t\t\tfragmentShader: ShaderLib.backgroundCube.fragmentShader,\n\t\t\t\t\t\tside: BackSide,\n\t\t\t\t\t\tdepthTest: false,\n\t\t\t\t\t\tdepthWrite: false,\n\t\t\t\t\t\tfog: false\n\t\t\t\t\t} )\n\t\t\t\t);\n\n\t\t\t\tboxMesh.geometry.deleteAttribute( 'normal' );\n\t\t\t\tboxMesh.geometry.deleteAttribute( 'uv' );\n\n\t\t\t\tboxMesh.onBeforeRender = function ( renderer, scene, camera ) {\n\n\t\t\t\t\tthis.matrixWorld.copyPosition( camera.matrixWorld );\n\n\t\t\t\t};\n\n\t\t\t\t// add \"envMap\" material property so the renderer can evaluate it like for built-in materials\n\t\t\t\tObject.defineProperty( boxMesh.material, 'envMap', {\n\n\t\t\t\t\tget: function () {\n\n\t\t\t\t\t\treturn this.uniforms.envMap.value;\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\tobjects.update( boxMesh );\n\n\t\t\t}\n\n\t\t\tboxMesh.material.uniforms.envMap.value = background;\n\t\t\tboxMesh.material.uniforms.flipEnvMap.value = ( background.isCubeTexture && background.isRenderTargetTexture === false ) ? - 1 : 1;\n\t\t\tboxMesh.material.uniforms.backgroundBlurriness.value = scene.backgroundBlurriness;\n\t\t\tboxMesh.material.uniforms.backgroundIntensity.value = scene.backgroundIntensity;\n\t\t\tboxMesh.material.toneMapped = ColorManagement.getTransfer( background.colorSpace ) !== SRGBTransfer;\n\n\t\t\tif ( currentBackground !== background ||\n\t\t\t\tcurrentBackgroundVersion !== background.version ||\n\t\t\t\tcurrentTonemapping !== renderer.toneMapping ) {\n\n\t\t\t\tboxMesh.material.needsUpdate = true;\n\n\t\t\t\tcurrentBackground = background;\n\t\t\t\tcurrentBackgroundVersion = background.version;\n\t\t\t\tcurrentTonemapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t\tboxMesh.layers.enableAll();\n\n\t\t\t// push to the pre-sorted opaque render list\n\t\t\trenderList.unshift( boxMesh, boxMesh.geometry, boxMesh.material, 0, 0, null );\n\n\t\t} else if ( background && background.isTexture ) {\n\n\t\t\tif ( planeMesh === undefined ) {\n\n\t\t\t\tplaneMesh = new Mesh(\n\t\t\t\t\tnew PlaneGeometry( 2, 2 ),\n\t\t\t\t\tnew ShaderMaterial( {\n\t\t\t\t\t\tname: 'BackgroundMaterial',\n\t\t\t\t\t\tuniforms: cloneUniforms( ShaderLib.background.uniforms ),\n\t\t\t\t\t\tvertexShader: ShaderLib.background.vertexShader,\n\t\t\t\t\t\tfragmentShader: ShaderLib.background.fragmentShader,\n\t\t\t\t\t\tside: FrontSide,\n\t\t\t\t\t\tdepthTest: false,\n\t\t\t\t\t\tdepthWrite: false,\n\t\t\t\t\t\tfog: false\n\t\t\t\t\t} )\n\t\t\t\t);\n\n\t\t\t\tplaneMesh.geometry.deleteAttribute( 'normal' );\n\n\t\t\t\t// add \"map\" material property so the renderer can evaluate it like for built-in materials\n\t\t\t\tObject.defineProperty( planeMesh.material, 'map', {\n\n\t\t\t\t\tget: function () {\n\n\t\t\t\t\t\treturn this.uniforms.t2D.value;\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\tobjects.update( planeMesh );\n\n\t\t\t}\n\n\t\t\tplaneMesh.material.uniforms.t2D.value = background;\n\t\t\tplaneMesh.material.uniforms.backgroundIntensity.value = scene.backgroundIntensity;\n\t\t\tplaneMesh.material.toneMapped = ColorManagement.getTransfer( background.colorSpace ) !== SRGBTransfer;\n\n\t\t\tif ( background.matrixAutoUpdate === true ) {\n\n\t\t\t\tbackground.updateMatrix();\n\n\t\t\t}\n\n\t\t\tplaneMesh.material.uniforms.uvTransform.value.copy( background.matrix );\n\n\t\t\tif ( currentBackground !== background ||\n\t\t\t\tcurrentBackgroundVersion !== background.version ||\n\t\t\t\tcurrentTonemapping !== renderer.toneMapping ) {\n\n\t\t\t\tplaneMesh.material.needsUpdate = true;\n\n\t\t\t\tcurrentBackground = background;\n\t\t\t\tcurrentBackgroundVersion = background.version;\n\t\t\t\tcurrentTonemapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t\tplaneMesh.layers.enableAll();\n\n\t\t\t// push to the pre-sorted opaque render list\n\t\t\trenderList.unshift( planeMesh, planeMesh.geometry, planeMesh.material, 0, 0, null );\n\n\t\t}\n\n\t}\n\n\tfunction setClear( color, alpha ) {\n\n\t\tcolor.getRGB( _rgb, getUnlitUniformColorSpace( renderer ) );\n\n\t\tstate.buffers.color.setClear( _rgb.r, _rgb.g, _rgb.b, alpha, premultipliedAlpha );\n\n\t}\n\n\treturn {\n\n\t\tgetClearColor: function () {\n\n\t\t\treturn clearColor;\n\n\t\t},\n\t\tsetClearColor: function ( color, alpha = 1 ) {\n\n\t\t\tclearColor.set( color );\n\t\t\tclearAlpha = alpha;\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t},\n\t\tgetClearAlpha: function () {\n\n\t\t\treturn clearAlpha;\n\n\t\t},\n\t\tsetClearAlpha: function ( alpha ) {\n\n\t\t\tclearAlpha = alpha;\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t},\n\t\trender: render\n\n\t};\n\n}\n\nfunction WebGLBindingStates( gl, extensions, attributes, capabilities ) {\n\n\tconst maxVertexAttributes = gl.getParameter( gl.MAX_VERTEX_ATTRIBS );\n\n\tconst extension = capabilities.isWebGL2 ? null : extensions.get( 'OES_vertex_array_object' );\n\tconst vaoAvailable = capabilities.isWebGL2 || extension !== null;\n\n\tconst bindingStates = {};\n\n\tconst defaultState = createBindingState( null );\n\tlet currentState = defaultState;\n\tlet forceUpdate = false;\n\n\tfunction setup( object, material, program, geometry, index ) {\n\n\t\tlet updateBuffers = false;\n\n\t\tif ( vaoAvailable ) {\n\n\t\t\tconst state = getBindingState( geometry, program, material );\n\n\t\t\tif ( currentState !== state ) {\n\n\t\t\t\tcurrentState = state;\n\t\t\t\tbindVertexArrayObject( currentState.object );\n\n\t\t\t}\n\n\t\t\tupdateBuffers = needsUpdate( object, geometry, program, index );\n\n\t\t\tif ( updateBuffers ) saveCache( object, geometry, program, index );\n\n\t\t} else {\n\n\t\t\tconst wireframe = ( material.wireframe === true );\n\n\t\t\tif ( currentState.geometry !== geometry.id ||\n\t\t\t\tcurrentState.program !== program.id ||\n\t\t\t\tcurrentState.wireframe !== wireframe ) {\n\n\t\t\t\tcurrentState.geometry = geometry.id;\n\t\t\t\tcurrentState.program = program.id;\n\t\t\t\tcurrentState.wireframe = wireframe;\n\n\t\t\t\tupdateBuffers = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( index !== null ) {\n\n\t\t\tattributes.update( index, gl.ELEMENT_ARRAY_BUFFER );\n\n\t\t}\n\n\t\tif ( updateBuffers || forceUpdate ) {\n\n\t\t\tforceUpdate = false;\n\n\t\t\tsetupVertexAttributes( object, material, program, geometry );\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tgl.bindBuffer( gl.ELEMENT_ARRAY_BUFFER, attributes.get( index ).buffer );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction createVertexArrayObject() {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.createVertexArray();\n\n\t\treturn extension.createVertexArrayOES();\n\n\t}\n\n\tfunction bindVertexArrayObject( vao ) {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.bindVertexArray( vao );\n\n\t\treturn extension.bindVertexArrayOES( vao );\n\n\t}\n\n\tfunction deleteVertexArrayObject( vao ) {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.deleteVertexArray( vao );\n\n\t\treturn extension.deleteVertexArrayOES( vao );\n\n\t}\n\n\tfunction getBindingState( geometry, program, material ) {\n\n\t\tconst wireframe = ( material.wireframe === true );\n\n\t\tlet programMap = bindingStates[ geometry.id ];\n\n\t\tif ( programMap === undefined ) {\n\n\t\t\tprogramMap = {};\n\t\t\tbindingStates[ geometry.id ] = programMap;\n\n\t\t}\n\n\t\tlet stateMap = programMap[ program.id ];\n\n\t\tif ( stateMap === undefined ) {\n\n\t\t\tstateMap = {};\n\t\t\tprogramMap[ program.id ] = stateMap;\n\n\t\t}\n\n\t\tlet state = stateMap[ wireframe ];\n\n\t\tif ( state === undefined ) {\n\n\t\t\tstate = createBindingState( createVertexArrayObject() );\n\t\t\tstateMap[ wireframe ] = state;\n\n\t\t}\n\n\t\treturn state;\n\n\t}\n\n\tfunction createBindingState( vao ) {\n\n\t\tconst newAttributes = [];\n\t\tconst enabledAttributes = [];\n\t\tconst attributeDivisors = [];\n\n\t\tfor ( let i = 0; i < maxVertexAttributes; i ++ ) {\n\n\t\t\tnewAttributes[ i ] = 0;\n\t\t\tenabledAttributes[ i ] = 0;\n\t\t\tattributeDivisors[ i ] = 0;\n\n\t\t}\n\n\t\treturn {\n\n\t\t\t// for backward compatibility on non-VAO support browser\n\t\t\tgeometry: null,\n\t\t\tprogram: null,\n\t\t\twireframe: false,\n\n\t\t\tnewAttributes: newAttributes,\n\t\t\tenabledAttributes: enabledAttributes,\n\t\t\tattributeDivisors: attributeDivisors,\n\t\t\tobject: vao,\n\t\t\tattributes: {},\n\t\t\tindex: null\n\n\t\t};\n\n\t}\n\n\tfunction needsUpdate( object, geometry, program, index ) {\n\n\t\tconst cachedAttributes = currentState.attributes;\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\tlet attributesNum = 0;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tconst cachedAttribute = cachedAttributes[ name ];\n\t\t\t\tlet geometryAttribute = geometryAttributes[ name ];\n\n\t\t\t\tif ( geometryAttribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) geometryAttribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) geometryAttribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tif ( cachedAttribute === undefined ) return true;\n\n\t\t\t\tif ( cachedAttribute.attribute !== geometryAttribute ) return true;\n\n\t\t\t\tif ( geometryAttribute && cachedAttribute.data !== geometryAttribute.data ) return true;\n\n\t\t\t\tattributesNum ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( currentState.attributesNum !== attributesNum ) return true;\n\n\t\tif ( currentState.index !== index ) return true;\n\n\t\treturn false;\n\n\t}\n\n\tfunction saveCache( object, geometry, program, index ) {\n\n\t\tconst cache = {};\n\t\tconst attributes = geometry.attributes;\n\t\tlet attributesNum = 0;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tlet attribute = attributes[ name ];\n\n\t\t\t\tif ( attribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) attribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) attribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tconst data = {};\n\t\t\t\tdata.attribute = attribute;\n\n\t\t\t\tif ( attribute && attribute.data ) {\n\n\t\t\t\t\tdata.data = attribute.data;\n\n\t\t\t\t}\n\n\t\t\t\tcache[ name ] = data;\n\n\t\t\t\tattributesNum ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tcurrentState.attributes = cache;\n\t\tcurrentState.attributesNum = attributesNum;\n\n\t\tcurrentState.index = index;\n\n\t}\n\n\tfunction initAttributes() {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\n\t\tfor ( let i = 0, il = newAttributes.length; i < il; i ++ ) {\n\n\t\t\tnewAttributes[ i ] = 0;\n\n\t\t}\n\n\t}\n\n\tfunction enableAttribute( attribute ) {\n\n\t\tenableAttributeAndDivisor( attribute, 0 );\n\n\t}\n\n\tfunction enableAttributeAndDivisor( attribute, meshPerAttribute ) {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\t\tconst enabledAttributes = currentState.enabledAttributes;\n\t\tconst attributeDivisors = currentState.attributeDivisors;\n\n\t\tnewAttributes[ attribute ] = 1;\n\n\t\tif ( enabledAttributes[ attribute ] === 0 ) {\n\n\t\t\tgl.enableVertexAttribArray( attribute );\n\t\t\tenabledAttributes[ attribute ] = 1;\n\n\t\t}\n\n\t\tif ( attributeDivisors[ attribute ] !== meshPerAttribute ) {\n\n\t\t\tconst extension = capabilities.isWebGL2 ? gl : extensions.get( 'ANGLE_instanced_arrays' );\n\n\t\t\textension[ capabilities.isWebGL2 ? 'vertexAttribDivisor' : 'vertexAttribDivisorANGLE' ]( attribute, meshPerAttribute );\n\t\t\tattributeDivisors[ attribute ] = meshPerAttribute;\n\n\t\t}\n\n\t}\n\n\tfunction disableUnusedAttributes() {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\t\tconst enabledAttributes = currentState.enabledAttributes;\n\n\t\tfor ( let i = 0, il = enabledAttributes.length; i < il; i ++ ) {\n\n\t\t\tif ( enabledAttributes[ i ] !== newAttributes[ i ] ) {\n\n\t\t\t\tgl.disableVertexAttribArray( i );\n\t\t\t\tenabledAttributes[ i ] = 0;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction vertexAttribPointer( index, size, type, normalized, stride, offset, integer ) {\n\n\t\tif ( integer === true ) {\n\n\t\t\tgl.vertexAttribIPointer( index, size, type, stride, offset );\n\n\t\t} else {\n\n\t\t\tgl.vertexAttribPointer( index, size, type, normalized, stride, offset );\n\n\t\t}\n\n\t}\n\n\tfunction setupVertexAttributes( object, material, program, geometry ) {\n\n\t\tif ( capabilities.isWebGL2 === false && ( object.isInstancedMesh || geometry.isInstancedBufferGeometry ) ) {\n\n\t\t\tif ( extensions.get( 'ANGLE_instanced_arrays' ) === null ) return;\n\n\t\t}\n\n\t\tinitAttributes();\n\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tconst materialDefaultAttributeValues = material.defaultAttributeValues;\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tlet geometryAttribute = geometryAttributes[ name ];\n\n\t\t\t\tif ( geometryAttribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) geometryAttribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) geometryAttribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tif ( geometryAttribute !== undefined ) {\n\n\t\t\t\t\tconst normalized = geometryAttribute.normalized;\n\t\t\t\t\tconst size = geometryAttribute.itemSize;\n\n\t\t\t\t\tconst attribute = attributes.get( geometryAttribute );\n\n\t\t\t\t\t// TODO Attribute may not be available on context restore\n\n\t\t\t\t\tif ( attribute === undefined ) continue;\n\n\t\t\t\t\tconst buffer = attribute.buffer;\n\t\t\t\t\tconst type = attribute.type;\n\t\t\t\t\tconst bytesPerElement = attribute.bytesPerElement;\n\n\t\t\t\t\t// check for integer attributes (WebGL 2 only)\n\n\t\t\t\t\tconst integer = ( capabilities.isWebGL2 === true && ( type === gl.INT || type === gl.UNSIGNED_INT || geometryAttribute.gpuType === IntType ) );\n\n\t\t\t\t\tif ( geometryAttribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\t\tconst data = geometryAttribute.data;\n\t\t\t\t\t\tconst stride = data.stride;\n\t\t\t\t\t\tconst offset = geometryAttribute.offset;\n\n\t\t\t\t\t\tif ( data.isInstancedInterleavedBuffer ) {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttributeAndDivisor( programAttribute.location + i, data.meshPerAttribute );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( object.isInstancedMesh !== true && geometry._maxInstanceCount === undefined ) {\n\n\t\t\t\t\t\t\t\tgeometry._maxInstanceCount = data.meshPerAttribute * data.count;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttribute( programAttribute.location + i );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tgl.bindBuffer( gl.ARRAY_BUFFER, buffer );\n\n\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\tvertexAttribPointer(\n\t\t\t\t\t\t\t\tprogramAttribute.location + i,\n\t\t\t\t\t\t\t\tsize / programAttribute.locationSize,\n\t\t\t\t\t\t\t\ttype,\n\t\t\t\t\t\t\t\tnormalized,\n\t\t\t\t\t\t\t\tstride * bytesPerElement,\n\t\t\t\t\t\t\t\t( offset + ( size / programAttribute.locationSize ) * i ) * bytesPerElement,\n\t\t\t\t\t\t\t\tinteger\n\t\t\t\t\t\t\t);\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( geometryAttribute.isInstancedBufferAttribute ) {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttributeAndDivisor( programAttribute.location + i, geometryAttribute.meshPerAttribute );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( object.isInstancedMesh !== true && geometry._maxInstanceCount === undefined ) {\n\n\t\t\t\t\t\t\t\tgeometry._maxInstanceCount = geometryAttribute.meshPerAttribute * geometryAttribute.count;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttribute( programAttribute.location + i );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tgl.bindBuffer( gl.ARRAY_BUFFER, buffer );\n\n\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\tvertexAttribPointer(\n\t\t\t\t\t\t\t\tprogramAttribute.location + i,\n\t\t\t\t\t\t\t\tsize / programAttribute.locationSize,\n\t\t\t\t\t\t\t\ttype,\n\t\t\t\t\t\t\t\tnormalized,\n\t\t\t\t\t\t\t\tsize * bytesPerElement,\n\t\t\t\t\t\t\t\t( size / programAttribute.locationSize ) * i * bytesPerElement,\n\t\t\t\t\t\t\t\tinteger\n\t\t\t\t\t\t\t);\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( materialDefaultAttributeValues !== undefined ) {\n\n\t\t\t\t\tconst value = materialDefaultAttributeValues[ name ];\n\n\t\t\t\t\tif ( value !== undefined ) {\n\n\t\t\t\t\t\tswitch ( value.length ) {\n\n\t\t\t\t\t\t\tcase 2:\n\t\t\t\t\t\t\t\tgl.vertexAttrib2fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tcase 3:\n\t\t\t\t\t\t\t\tgl.vertexAttrib3fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tcase 4:\n\t\t\t\t\t\t\t\tgl.vertexAttrib4fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t\tgl.vertexAttrib1fv( programAttribute.location, value );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tdisableUnusedAttributes();\n\n\t}\n\n\tfunction dispose() {\n\n\t\treset();\n\n\t\tfor ( const geometryId in bindingStates ) {\n\n\t\t\tconst programMap = bindingStates[ geometryId ];\n\n\t\t\tfor ( const programId in programMap ) {\n\n\t\t\t\tconst stateMap = programMap[ programId ];\n\n\t\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t\t}\n\n\t\t\t\tdelete programMap[ programId ];\n\n\t\t\t}\n\n\t\t\tdelete bindingStates[ geometryId ];\n\n\t\t}\n\n\t}\n\n\tfunction releaseStatesOfGeometry( geometry ) {\n\n\t\tif ( bindingStates[ geometry.id ] === undefined ) return;\n\n\t\tconst programMap = bindingStates[ geometry.id ];\n\n\t\tfor ( const programId in programMap ) {\n\n\t\t\tconst stateMap = programMap[ programId ];\n\n\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t}\n\n\t\t\tdelete programMap[ programId ];\n\n\t\t}\n\n\t\tdelete bindingStates[ geometry.id ];\n\n\t}\n\n\tfunction releaseStatesOfProgram( program ) {\n\n\t\tfor ( const geometryId in bindingStates ) {\n\n\t\t\tconst programMap = bindingStates[ geometryId ];\n\n\t\t\tif ( programMap[ program.id ] === undefined ) continue;\n\n\t\t\tconst stateMap = programMap[ program.id ];\n\n\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t}\n\n\t\t\tdelete programMap[ program.id ];\n\n\t\t}\n\n\t}\n\n\tfunction reset() {\n\n\t\tresetDefaultState();\n\t\tforceUpdate = true;\n\n\t\tif ( currentState === defaultState ) return;\n\n\t\tcurrentState = defaultState;\n\t\tbindVertexArrayObject( currentState.object );\n\n\t}\n\n\t// for backward-compatibility\n\n\tfunction resetDefaultState() {\n\n\t\tdefaultState.geometry = null;\n\t\tdefaultState.program = null;\n\t\tdefaultState.wireframe = false;\n\n\t}\n\n\treturn {\n\n\t\tsetup: setup,\n\t\treset: reset,\n\t\tresetDefaultState: resetDefaultState,\n\t\tdispose: dispose,\n\t\treleaseStatesOfGeometry: releaseStatesOfGeometry,\n\t\treleaseStatesOfProgram: releaseStatesOfProgram,\n\n\t\tinitAttributes: initAttributes,\n\t\tenableAttribute: enableAttribute,\n\t\tdisableUnusedAttributes: disableUnusedAttributes\n\n\t};\n\n}\n\nfunction WebGLBufferRenderer( gl, extensions, info, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tlet mode;\n\n\tfunction setMode( value ) {\n\n\t\tmode = value;\n\n\t}\n\n\tfunction render( start, count ) {\n\n\t\tgl.drawArrays( mode, start, count );\n\n\t\tinfo.update( count, mode, 1 );\n\n\t}\n\n\tfunction renderInstances( start, count, primcount ) {\n\n\t\tif ( primcount === 0 ) return;\n\n\t\tlet extension, methodName;\n\n\t\tif ( isWebGL2 ) {\n\n\t\t\textension = gl;\n\t\t\tmethodName = 'drawArraysInstanced';\n\n\t\t} else {\n\n\t\t\textension = extensions.get( 'ANGLE_instanced_arrays' );\n\t\t\tmethodName = 'drawArraysInstancedANGLE';\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\textension[ methodName ]( mode, start, count, primcount );\n\n\t\tinfo.update( count, mode, primcount );\n\n\t}\n\n\tfunction renderMultiDraw( starts, counts, drawCount ) {\n\n\t\tif ( drawCount === 0 ) return;\n\n\t\tconst extension = extensions.get( 'WEBGL_multi_draw' );\n\t\tif ( extension === null ) {\n\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\tthis.render( starts[ i ], counts[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\textension.multiDrawArraysWEBGL( mode, starts, 0, counts, 0, drawCount );\n\n\t\t\tlet elementCount = 0;\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\telementCount += counts[ i ];\n\n\t\t\t}\n\n\t\t\tinfo.update( elementCount, mode, 1 );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tthis.setMode = setMode;\n\tthis.render = render;\n\tthis.renderInstances = renderInstances;\n\tthis.renderMultiDraw = renderMultiDraw;\n\n}\n\nfunction WebGLCapabilities( gl, extensions, parameters ) {\n\n\tlet maxAnisotropy;\n\n\tfunction getMaxAnisotropy() {\n\n\t\tif ( maxAnisotropy !== undefined ) return maxAnisotropy;\n\n\t\tif ( extensions.has( 'EXT_texture_filter_anisotropic' ) === true ) {\n\n\t\t\tconst extension = extensions.get( 'EXT_texture_filter_anisotropic' );\n\n\t\t\tmaxAnisotropy = gl.getParameter( extension.MAX_TEXTURE_MAX_ANISOTROPY_EXT );\n\n\t\t} else {\n\n\t\t\tmaxAnisotropy = 0;\n\n\t\t}\n\n\t\treturn maxAnisotropy;\n\n\t}\n\n\tfunction getMaxPrecision( precision ) {\n\n\t\tif ( precision === 'highp' ) {\n\n\t\t\tif ( gl.getShaderPrecisionFormat( gl.VERTEX_SHADER, gl.HIGH_FLOAT ).precision > 0 &&\n\t\t\t\tgl.getShaderPrecisionFormat( gl.FRAGMENT_SHADER, gl.HIGH_FLOAT ).precision > 0 ) {\n\n\t\t\t\treturn 'highp';\n\n\t\t\t}\n\n\t\t\tprecision = 'mediump';\n\n\t\t}\n\n\t\tif ( precision === 'mediump' ) {\n\n\t\t\tif ( gl.getShaderPrecisionFormat( gl.VERTEX_SHADER, gl.MEDIUM_FLOAT ).precision > 0 &&\n\t\t\t\tgl.getShaderPrecisionFormat( gl.FRAGMENT_SHADER, gl.MEDIUM_FLOAT ).precision > 0 ) {\n\n\t\t\t\treturn 'mediump';\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn 'lowp';\n\n\t}\n\n\tconst isWebGL2 = typeof WebGL2RenderingContext !== 'undefined' && gl.constructor.name === 'WebGL2RenderingContext';\n\n\tlet precision = parameters.precision !== undefined ? parameters.precision : 'highp';\n\tconst maxPrecision = getMaxPrecision( precision );\n\n\tif ( maxPrecision !== precision ) {\n\n\t\tconsole.warn( 'THREE.WebGLRenderer:', precision, 'not supported, using', maxPrecision, 'instead.' );\n\t\tprecision = maxPrecision;\n\n\t}\n\n\tconst drawBuffers = isWebGL2 || extensions.has( 'WEBGL_draw_buffers' );\n\n\tconst logarithmicDepthBuffer = parameters.logarithmicDepthBuffer === true;\n\n\tconst maxTextures = gl.getParameter( gl.MAX_TEXTURE_IMAGE_UNITS );\n\tconst maxVertexTextures = gl.getParameter( gl.MAX_VERTEX_TEXTURE_IMAGE_UNITS );\n\tconst maxTextureSize = gl.getParameter( gl.MAX_TEXTURE_SIZE );\n\tconst maxCubemapSize = gl.getParameter( gl.MAX_CUBE_MAP_TEXTURE_SIZE );\n\n\tconst maxAttributes = gl.getParameter( gl.MAX_VERTEX_ATTRIBS );\n\tconst maxVertexUniforms = gl.getParameter( gl.MAX_VERTEX_UNIFORM_VECTORS );\n\tconst maxVaryings = gl.getParameter( gl.MAX_VARYING_VECTORS );\n\tconst maxFragmentUniforms = gl.getParameter( gl.MAX_FRAGMENT_UNIFORM_VECTORS );\n\n\tconst vertexTextures = maxVertexTextures > 0;\n\tconst floatFragmentTextures = isWebGL2 || extensions.has( 'OES_texture_float' );\n\tconst floatVertexTextures = vertexTextures && floatFragmentTextures;\n\n\tconst maxSamples = isWebGL2 ? gl.getParameter( gl.MAX_SAMPLES ) : 0;\n\n\treturn {\n\n\t\tisWebGL2: isWebGL2,\n\n\t\tdrawBuffers: drawBuffers,\n\n\t\tgetMaxAnisotropy: getMaxAnisotropy,\n\t\tgetMaxPrecision: getMaxPrecision,\n\n\t\tprecision: precision,\n\t\tlogarithmicDepthBuffer: logarithmicDepthBuffer,\n\n\t\tmaxTextures: maxTextures,\n\t\tmaxVertexTextures: maxVertexTextures,\n\t\tmaxTextureSize: maxTextureSize,\n\t\tmaxCubemapSize: maxCubemapSize,\n\n\t\tmaxAttributes: maxAttributes,\n\t\tmaxVertexUniforms: maxVertexUniforms,\n\t\tmaxVaryings: maxVaryings,\n\t\tmaxFragmentUniforms: maxFragmentUniforms,\n\n\t\tvertexTextures: vertexTextures,\n\t\tfloatFragmentTextures: floatFragmentTextures,\n\t\tfloatVertexTextures: floatVertexTextures,\n\n\t\tmaxSamples: maxSamples\n\n\t};\n\n}\n\nfunction WebGLClipping( properties ) {\n\n\tconst scope = this;\n\n\tlet globalState = null,\n\t\tnumGlobalPlanes = 0,\n\t\tlocalClippingEnabled = false,\n\t\trenderingShadows = false;\n\n\tconst plane = new Plane(),\n\t\tviewNormalMatrix = new Matrix3(),\n\n\t\tuniform = { value: null, needsUpdate: false };\n\n\tthis.uniform = uniform;\n\tthis.numPlanes = 0;\n\tthis.numIntersection = 0;\n\n\tthis.init = function ( planes, enableLocalClipping ) {\n\n\t\tconst enabled =\n\t\t\tplanes.length !== 0 ||\n\t\t\tenableLocalClipping ||\n\t\t\t// enable state of previous frame - the clipping code has to\n\t\t\t// run another frame in order to reset the state:\n\t\t\tnumGlobalPlanes !== 0 ||\n\t\t\tlocalClippingEnabled;\n\n\t\tlocalClippingEnabled = enableLocalClipping;\n\n\t\tnumGlobalPlanes = planes.length;\n\n\t\treturn enabled;\n\n\t};\n\n\tthis.beginShadows = function () {\n\n\t\trenderingShadows = true;\n\t\tprojectPlanes( null );\n\n\t};\n\n\tthis.endShadows = function () {\n\n\t\trenderingShadows = false;\n\n\t};\n\n\tthis.setGlobalState = function ( planes, camera ) {\n\n\t\tglobalState = projectPlanes( planes, camera, 0 );\n\n\t};\n\n\tthis.setState = function ( material, camera, useCache ) {\n\n\t\tconst planes = material.clippingPlanes,\n\t\t\tclipIntersection = material.clipIntersection,\n\t\t\tclipShadows = material.clipShadows;\n\n\t\tconst materialProperties = properties.get( material );\n\n\t\tif ( ! localClippingEnabled || planes === null || planes.length === 0 || renderingShadows && ! clipShadows ) {\n\n\t\t\t// there's no local clipping\n\n\t\t\tif ( renderingShadows ) {\n\n\t\t\t\t// there's no global clipping\n\n\t\t\t\tprojectPlanes( null );\n\n\t\t\t} else {\n\n\t\t\t\tresetGlobalState();\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst nGlobal = renderingShadows ? 0 : numGlobalPlanes,\n\t\t\t\tlGlobal = nGlobal * 4;\n\n\t\t\tlet dstArray = materialProperties.clippingState || null;\n\n\t\t\tuniform.value = dstArray; // ensure unique state\n\n\t\t\tdstArray = projectPlanes( planes, camera, lGlobal, useCache );\n\n\t\t\tfor ( let i = 0; i !== lGlobal; ++ i ) {\n\n\t\t\t\tdstArray[ i ] = globalState[ i ];\n\n\t\t\t}\n\n\t\t\tmaterialProperties.clippingState = dstArray;\n\t\t\tthis.numIntersection = clipIntersection ? this.numPlanes : 0;\n\t\t\tthis.numPlanes += nGlobal;\n\n\t\t}\n\n\n\t};\n\n\tfunction resetGlobalState() {\n\n\t\tif ( uniform.value !== globalState ) {\n\n\t\t\tuniform.value = globalState;\n\t\t\tuniform.needsUpdate = numGlobalPlanes > 0;\n\n\t\t}\n\n\t\tscope.numPlanes = numGlobalPlanes;\n\t\tscope.numIntersection = 0;\n\n\t}\n\n\tfunction projectPlanes( planes, camera, dstOffset, skipTransform ) {\n\n\t\tconst nPlanes = planes !== null ? planes.length : 0;\n\t\tlet dstArray = null;\n\n\t\tif ( nPlanes !== 0 ) {\n\n\t\t\tdstArray = uniform.value;\n\n\t\t\tif ( skipTransform !== true || dstArray === null ) {\n\n\t\t\t\tconst flatSize = dstOffset + nPlanes * 4,\n\t\t\t\t\tviewMatrix = camera.matrixWorldInverse;\n\n\t\t\t\tviewNormalMatrix.getNormalMatrix( viewMatrix );\n\n\t\t\t\tif ( dstArray === null || dstArray.length < flatSize ) {\n\n\t\t\t\t\tdstArray = new Float32Array( flatSize );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0, i4 = dstOffset; i !== nPlanes; ++ i, i4 += 4 ) {\n\n\t\t\t\t\tplane.copy( planes[ i ] ).applyMatrix4( viewMatrix, viewNormalMatrix );\n\n\t\t\t\t\tplane.normal.toArray( dstArray, i4 );\n\t\t\t\t\tdstArray[ i4 + 3 ] = plane.constant;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tuniform.value = dstArray;\n\t\t\tuniform.needsUpdate = true;\n\n\t\t}\n\n\t\tscope.numPlanes = nPlanes;\n\t\tscope.numIntersection = 0;\n\n\t\treturn dstArray;\n\n\t}\n\n}\n\nfunction WebGLCubeMaps( renderer ) {\n\n\tlet cubemaps = new WeakMap();\n\n\tfunction mapTextureMapping( texture, mapping ) {\n\n\t\tif ( mapping === EquirectangularReflectionMapping ) {\n\n\t\t\ttexture.mapping = CubeReflectionMapping;\n\n\t\t} else if ( mapping === EquirectangularRefractionMapping ) {\n\n\t\t\ttexture.mapping = CubeRefractionMapping;\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction get( texture ) {\n\n\t\tif ( texture && texture.isTexture ) {\n\n\t\t\tconst mapping = texture.mapping;\n\n\t\t\tif ( mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping ) {\n\n\t\t\t\tif ( cubemaps.has( texture ) ) {\n\n\t\t\t\t\tconst cubemap = cubemaps.get( texture ).texture;\n\t\t\t\t\treturn mapTextureMapping( cubemap, texture.mapping );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconst image = texture.image;\n\n\t\t\t\t\tif ( image && image.height > 0 ) {\n\n\t\t\t\t\t\tconst renderTarget = new WebGLCubeRenderTarget( image.height / 2 );\n\t\t\t\t\t\trenderTarget.fromEquirectangularTexture( renderer, texture );\n\t\t\t\t\t\tcubemaps.set( texture, renderTarget );\n\n\t\t\t\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t\t\t\t\treturn mapTextureMapping( renderTarget.texture, texture.mapping );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// image not yet ready. try the conversion next frame\n\n\t\t\t\t\t\treturn null;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tconst cubemap = cubemaps.get( texture );\n\n\t\tif ( cubemap !== undefined ) {\n\n\t\t\tcubemaps.delete( texture );\n\t\t\tcubemap.dispose();\n\n\t\t}\n\n\t}\n\n\tfunction dispose() {\n\n\t\tcubemaps = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nclass OrthographicCamera extends Camera {\n\n\tconstructor( left = - 1, right = 1, top = 1, bottom = - 1, near = 0.1, far = 2000 ) {\n\n\t\tsuper();\n\n\t\tthis.isOrthographicCamera = true;\n\n\t\tthis.type = 'OrthographicCamera';\n\n\t\tthis.zoom = 1;\n\t\tthis.view = null;\n\n\t\tthis.left = left;\n\t\tthis.right = right;\n\t\tthis.top = top;\n\t\tthis.bottom = bottom;\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.left = source.left;\n\t\tthis.right = source.right;\n\t\tthis.top = source.top;\n\t\tthis.bottom = source.bottom;\n\t\tthis.near = source.near;\n\t\tthis.far = source.far;\n\n\t\tthis.zoom = source.zoom;\n\t\tthis.view = source.view === null ? null : Object.assign( {}, source.view );\n\n\t\treturn this;\n\n\t}\n\n\tsetViewOffset( fullWidth, fullHeight, x, y, width, height ) {\n\n\t\tif ( this.view === null ) {\n\n\t\t\tthis.view = {\n\t\t\t\tenabled: true,\n\t\t\t\tfullWidth: 1,\n\t\t\t\tfullHeight: 1,\n\t\t\t\toffsetX: 0,\n\t\t\t\toffsetY: 0,\n\t\t\t\twidth: 1,\n\t\t\t\theight: 1\n\t\t\t};\n\n\t\t}\n\n\t\tthis.view.enabled = true;\n\t\tthis.view.fullWidth = fullWidth;\n\t\tthis.view.fullHeight = fullHeight;\n\t\tthis.view.offsetX = x;\n\t\tthis.view.offsetY = y;\n\t\tthis.view.width = width;\n\t\tthis.view.height = height;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tclearViewOffset() {\n\n\t\tif ( this.view !== null ) {\n\n\t\t\tthis.view.enabled = false;\n\n\t\t}\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tupdateProjectionMatrix() {\n\n\t\tconst dx = ( this.right - this.left ) / ( 2 * this.zoom );\n\t\tconst dy = ( this.top - this.bottom ) / ( 2 * this.zoom );\n\t\tconst cx = ( this.right + this.left ) / 2;\n\t\tconst cy = ( this.top + this.bottom ) / 2;\n\n\t\tlet left = cx - dx;\n\t\tlet right = cx + dx;\n\t\tlet top = cy + dy;\n\t\tlet bottom = cy - dy;\n\n\t\tif ( this.view !== null && this.view.enabled ) {\n\n\t\t\tconst scaleW = ( this.right - this.left ) / this.view.fullWidth / this.zoom;\n\t\t\tconst scaleH = ( this.top - this.bottom ) / this.view.fullHeight / this.zoom;\n\n\t\t\tleft += scaleW * this.view.offsetX;\n\t\t\tright = left + scaleW * this.view.width;\n\t\t\ttop -= scaleH * this.view.offsetY;\n\t\t\tbottom = top - scaleH * this.view.height;\n\n\t\t}\n\n\t\tthis.projectionMatrix.makeOrthographic( left, right, top, bottom, this.near, this.far, this.coordinateSystem );\n\n\t\tthis.projectionMatrixInverse.copy( this.projectionMatrix ).invert();\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.zoom = this.zoom;\n\t\tdata.object.left = this.left;\n\t\tdata.object.right = this.right;\n\t\tdata.object.top = this.top;\n\t\tdata.object.bottom = this.bottom;\n\t\tdata.object.near = this.near;\n\t\tdata.object.far = this.far;\n\n\t\tif ( this.view !== null ) data.object.view = Object.assign( {}, this.view );\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst LOD_MIN = 4;\n\n// The standard deviations (radians) associated with the extra mips. These are\n// chosen to approximate a Trowbridge-Reitz distribution function times the\n// geometric shadowing function. These sigma values squared must match the\n// variance #defines in cube_uv_reflection_fragment.glsl.js.\nconst EXTRA_LOD_SIGMA = [ 0.125, 0.215, 0.35, 0.446, 0.526, 0.582 ];\n\n// The maximum length of the blur for loop. Smaller sigmas will use fewer\n// samples and exit early, but not recompile the shader.\nconst MAX_SAMPLES = 20;\n\nconst _flatCamera = /*@__PURE__*/ new OrthographicCamera();\nconst _clearColor = /*@__PURE__*/ new Color();\nlet _oldTarget = null;\nlet _oldActiveCubeFace = 0;\nlet _oldActiveMipmapLevel = 0;\n\n// Golden Ratio\nconst PHI = ( 1 + Math.sqrt( 5 ) ) / 2;\nconst INV_PHI = 1 / PHI;\n\n// Vertices of a dodecahedron (except the opposites, which represent the\n// same axis), used as axis directions evenly spread on a sphere.\nconst _axisDirections = [\n\t/*@__PURE__*/ new Vector3( 1, 1, 1 ),\n\t/*@__PURE__*/ new Vector3( - 1, 1, 1 ),\n\t/*@__PURE__*/ new Vector3( 1, 1, - 1 ),\n\t/*@__PURE__*/ new Vector3( - 1, 1, - 1 ),\n\t/*@__PURE__*/ new Vector3( 0, PHI, INV_PHI ),\n\t/*@__PURE__*/ new Vector3( 0, PHI, - INV_PHI ),\n\t/*@__PURE__*/ new Vector3( INV_PHI, 0, PHI ),\n\t/*@__PURE__*/ new Vector3( - INV_PHI, 0, PHI ),\n\t/*@__PURE__*/ new Vector3( PHI, INV_PHI, 0 ),\n\t/*@__PURE__*/ new Vector3( - PHI, INV_PHI, 0 ) ];\n\n/**\n * This class generates a Prefiltered, Mipmapped Radiance Environment Map\n * (PMREM) from a cubeMap environment texture. This allows different levels of\n * blur to be quickly accessed based on material roughness. It is packed into a\n * special CubeUV format that allows us to perform custom interpolation so that\n * we can support nonlinear formats such as RGBE. Unlike a traditional mipmap\n * chain, it only goes down to the LOD_MIN level (above), and then creates extra\n * even more filtered 'mips' at the same LOD_MIN resolution, associated with\n * higher roughness levels. In this way we maintain resolution to smoothly\n * interpolate diffuse lighting while limiting sampling computation.\n *\n * Paper: Fast, Accurate Image-Based Lighting\n * https://drive.google.com/file/d/15y8r_UpKlU9SvV4ILb0C3qCPecS8pvLz/view\n*/\n\nclass PMREMGenerator {\n\n\tconstructor( renderer ) {\n\n\t\tthis._renderer = renderer;\n\t\tthis._pingPongRenderTarget = null;\n\n\t\tthis._lodMax = 0;\n\t\tthis._cubeSize = 0;\n\t\tthis._lodPlanes = [];\n\t\tthis._sizeLods = [];\n\t\tthis._sigmas = [];\n\n\t\tthis._blurMaterial = null;\n\t\tthis._cubemapMaterial = null;\n\t\tthis._equirectMaterial = null;\n\n\t\tthis._compileMaterial( this._blurMaterial );\n\n\t}\n\n\t/**\n\t * Generates a PMREM from a supplied Scene, which can be faster than using an\n\t * image if networking bandwidth is low. Optional sigma specifies a blur radius\n\t * in radians to be applied to the scene before PMREM generation. Optional near\n\t * and far planes ensure the scene is rendered in its entirety (the cubeCamera\n\t * is placed at the origin).\n\t */\n\tfromScene( scene, sigma = 0, near = 0.1, far = 100 ) {\n\n\t\t_oldTarget = this._renderer.getRenderTarget();\n\t\t_oldActiveCubeFace = this._renderer.getActiveCubeFace();\n\t\t_oldActiveMipmapLevel = this._renderer.getActiveMipmapLevel();\n\n\t\tthis._setSize( 256 );\n\n\t\tconst cubeUVRenderTarget = this._allocateTargets();\n\t\tcubeUVRenderTarget.depthBuffer = true;\n\n\t\tthis._sceneToCubeUV( scene, near, far, cubeUVRenderTarget );\n\n\t\tif ( sigma > 0 ) {\n\n\t\t\tthis._blur( cubeUVRenderTarget, 0, 0, sigma );\n\n\t\t}\n\n\t\tthis._applyPMREM( cubeUVRenderTarget );\n\t\tthis._cleanup( cubeUVRenderTarget );\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t/**\n\t * Generates a PMREM from an equirectangular texture, which can be either LDR\n\t * or HDR. The ideal input image size is 1k (1024 x 512),\n\t * as this matches best with the 256 x 256 cubemap output.\n\t */\n\tfromEquirectangular( equirectangular, renderTarget = null ) {\n\n\t\treturn this._fromTexture( equirectangular, renderTarget );\n\n\t}\n\n\t/**\n\t * Generates a PMREM from an cubemap texture, which can be either LDR\n\t * or HDR. The ideal input cube size is 256 x 256,\n\t * as this matches best with the 256 x 256 cubemap output.\n\t */\n\tfromCubemap( cubemap, renderTarget = null ) {\n\n\t\treturn this._fromTexture( cubemap, renderTarget );\n\n\t}\n\n\t/**\n\t * Pre-compiles the cubemap shader. You can get faster start-up by invoking this method during\n\t * your texture's network fetch for increased concurrency.\n\t */\n\tcompileCubemapShader() {\n\n\t\tif ( this._cubemapMaterial === null ) {\n\n\t\t\tthis._cubemapMaterial = _getCubemapMaterial();\n\t\t\tthis._compileMaterial( this._cubemapMaterial );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Pre-compiles the equirectangular shader. You can get faster start-up by invoking this method during\n\t * your texture's network fetch for increased concurrency.\n\t */\n\tcompileEquirectangularShader() {\n\n\t\tif ( this._equirectMaterial === null ) {\n\n\t\t\tthis._equirectMaterial = _getEquirectMaterial();\n\t\t\tthis._compileMaterial( this._equirectMaterial );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Disposes of the PMREMGenerator's internal memory. Note that PMREMGenerator is a static class,\n\t * so you should not need more than one PMREMGenerator object. If you do, calling dispose() on\n\t * one of them will cause any others to also become unusable.\n\t */\n\tdispose() {\n\n\t\tthis._dispose();\n\n\t\tif ( this._cubemapMaterial !== null ) this._cubemapMaterial.dispose();\n\t\tif ( this._equirectMaterial !== null ) this._equirectMaterial.dispose();\n\n\t}\n\n\t// private interface\n\n\t_setSize( cubeSize ) {\n\n\t\tthis._lodMax = Math.floor( Math.log2( cubeSize ) );\n\t\tthis._cubeSize = Math.pow( 2, this._lodMax );\n\n\t}\n\n\t_dispose() {\n\n\t\tif ( this._blurMaterial !== null ) this._blurMaterial.dispose();\n\n\t\tif ( this._pingPongRenderTarget !== null ) this._pingPongRenderTarget.dispose();\n\n\t\tfor ( let i = 0; i < this._lodPlanes.length; i ++ ) {\n\n\t\t\tthis._lodPlanes[ i ].dispose();\n\n\t\t}\n\n\t}\n\n\t_cleanup( outputTarget ) {\n\n\t\tthis._renderer.setRenderTarget( _oldTarget, _oldActiveCubeFace, _oldActiveMipmapLevel );\n\t\toutputTarget.scissorTest = false;\n\t\t_setViewport( outputTarget, 0, 0, outputTarget.width, outputTarget.height );\n\n\t}\n\n\t_fromTexture( texture, renderTarget ) {\n\n\t\tif ( texture.mapping === CubeReflectionMapping || texture.mapping === CubeRefractionMapping ) {\n\n\t\t\tthis._setSize( texture.image.length === 0 ? 16 : ( texture.image[ 0 ].width || texture.image[ 0 ].image.width ) );\n\n\t\t} else { // Equirectangular\n\n\t\t\tthis._setSize( texture.image.width / 4 );\n\n\t\t}\n\n\t\t_oldTarget = this._renderer.getRenderTarget();\n\t\t_oldActiveCubeFace = this._renderer.getActiveCubeFace();\n\t\t_oldActiveMipmapLevel = this._renderer.getActiveMipmapLevel();\n\n\t\tconst cubeUVRenderTarget = renderTarget || this._allocateTargets();\n\t\tthis._textureToCubeUV( texture, cubeUVRenderTarget );\n\t\tthis._applyPMREM( cubeUVRenderTarget );\n\t\tthis._cleanup( cubeUVRenderTarget );\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t_allocateTargets() {\n\n\t\tconst width = 3 * Math.max( this._cubeSize, 16 * 7 );\n\t\tconst height = 4 * this._cubeSize;\n\n\t\tconst params = {\n\t\t\tmagFilter: LinearFilter,\n\t\t\tminFilter: LinearFilter,\n\t\t\tgenerateMipmaps: false,\n\t\t\ttype: HalfFloatType,\n\t\t\tformat: RGBAFormat,\n\t\t\tcolorSpace: LinearSRGBColorSpace,\n\t\t\tdepthBuffer: false\n\t\t};\n\n\t\tconst cubeUVRenderTarget = _createRenderTarget( width, height, params );\n\n\t\tif ( this._pingPongRenderTarget === null || this._pingPongRenderTarget.width !== width || this._pingPongRenderTarget.height !== height ) {\n\n\t\t\tif ( this._pingPongRenderTarget !== null ) {\n\n\t\t\t\tthis._dispose();\n\n\t\t\t}\n\n\t\t\tthis._pingPongRenderTarget = _createRenderTarget( width, height, params );\n\n\t\t\tconst { _lodMax } = this;\n\t\t\t( { sizeLods: this._sizeLods, lodPlanes: this._lodPlanes, sigmas: this._sigmas } = _createPlanes( _lodMax ) );\n\n\t\t\tthis._blurMaterial = _getBlurShader( _lodMax, width, height );\n\n\t\t}\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t_compileMaterial( material ) {\n\n\t\tconst tmpMesh = new Mesh( this._lodPlanes[ 0 ], material );\n\t\tthis._renderer.compile( tmpMesh, _flatCamera );\n\n\t}\n\n\t_sceneToCubeUV( scene, near, far, cubeUVRenderTarget ) {\n\n\t\tconst fov = 90;\n\t\tconst aspect = 1;\n\t\tconst cubeCamera = new PerspectiveCamera( fov, aspect, near, far );\n\t\tconst upSign = [ 1, - 1, 1, 1, 1, 1 ];\n\t\tconst forwardSign = [ 1, 1, 1, - 1, - 1, - 1 ];\n\t\tconst renderer = this._renderer;\n\n\t\tconst originalAutoClear = renderer.autoClear;\n\t\tconst toneMapping = renderer.toneMapping;\n\t\trenderer.getClearColor( _clearColor );\n\n\t\trenderer.toneMapping = NoToneMapping;\n\t\trenderer.autoClear = false;\n\n\t\tconst backgroundMaterial = new MeshBasicMaterial( {\n\t\t\tname: 'PMREM.Background',\n\t\t\tside: BackSide,\n\t\t\tdepthWrite: false,\n\t\t\tdepthTest: false,\n\t\t} );\n\n\t\tconst backgroundBox = new Mesh( new BoxGeometry(), backgroundMaterial );\n\n\t\tlet useSolidColor = false;\n\t\tconst background = scene.background;\n\n\t\tif ( background ) {\n\n\t\t\tif ( background.isColor ) {\n\n\t\t\t\tbackgroundMaterial.color.copy( background );\n\t\t\t\tscene.background = null;\n\t\t\t\tuseSolidColor = true;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tbackgroundMaterial.color.copy( _clearColor );\n\t\t\tuseSolidColor = true;\n\n\t\t}\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst col = i % 3;\n\n\t\t\tif ( col === 0 ) {\n\n\t\t\t\tcubeCamera.up.set( 0, upSign[ i ], 0 );\n\t\t\t\tcubeCamera.lookAt( forwardSign[ i ], 0, 0 );\n\n\t\t\t} else if ( col === 1 ) {\n\n\t\t\t\tcubeCamera.up.set( 0, 0, upSign[ i ] );\n\t\t\t\tcubeCamera.lookAt( 0, forwardSign[ i ], 0 );\n\n\t\t\t} else {\n\n\t\t\t\tcubeCamera.up.set( 0, upSign[ i ], 0 );\n\t\t\t\tcubeCamera.lookAt( 0, 0, forwardSign[ i ] );\n\n\t\t\t}\n\n\t\t\tconst size = this._cubeSize;\n\n\t\t\t_setViewport( cubeUVRenderTarget, col * size, i > 2 ? size : 0, size, size );\n\n\t\t\trenderer.setRenderTarget( cubeUVRenderTarget );\n\n\t\t\tif ( useSolidColor ) {\n\n\t\t\t\trenderer.render( backgroundBox, cubeCamera );\n\n\t\t\t}\n\n\t\t\trenderer.render( scene, cubeCamera );\n\n\t\t}\n\n\t\tbackgroundBox.geometry.dispose();\n\t\tbackgroundBox.material.dispose();\n\n\t\trenderer.toneMapping = toneMapping;\n\t\trenderer.autoClear = originalAutoClear;\n\t\tscene.background = background;\n\n\t}\n\n\t_textureToCubeUV( texture, cubeUVRenderTarget ) {\n\n\t\tconst renderer = this._renderer;\n\n\t\tconst isCubeTexture = ( texture.mapping === CubeReflectionMapping || texture.mapping === CubeRefractionMapping );\n\n\t\tif ( isCubeTexture ) {\n\n\t\t\tif ( this._cubemapMaterial === null ) {\n\n\t\t\t\tthis._cubemapMaterial = _getCubemapMaterial();\n\n\t\t\t}\n\n\t\t\tthis._cubemapMaterial.uniforms.flipEnvMap.value = ( texture.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t} else {\n\n\t\t\tif ( this._equirectMaterial === null ) {\n\n\t\t\t\tthis._equirectMaterial = _getEquirectMaterial();\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst material = isCubeTexture ? this._cubemapMaterial : this._equirectMaterial;\n\t\tconst mesh = new Mesh( this._lodPlanes[ 0 ], material );\n\n\t\tconst uniforms = material.uniforms;\n\n\t\tuniforms[ 'envMap' ].value = texture;\n\n\t\tconst size = this._cubeSize;\n\n\t\t_setViewport( cubeUVRenderTarget, 0, 0, 3 * size, 2 * size );\n\n\t\trenderer.setRenderTarget( cubeUVRenderTarget );\n\t\trenderer.render( mesh, _flatCamera );\n\n\t}\n\n\t_applyPMREM( cubeUVRenderTarget ) {\n\n\t\tconst renderer = this._renderer;\n\t\tconst autoClear = renderer.autoClear;\n\t\trenderer.autoClear = false;\n\n\t\tfor ( let i = 1; i < this._lodPlanes.length; i ++ ) {\n\n\t\t\tconst sigma = Math.sqrt( this._sigmas[ i ] * this._sigmas[ i ] - this._sigmas[ i - 1 ] * this._sigmas[ i - 1 ] );\n\n\t\t\tconst poleAxis = _axisDirections[ ( i - 1 ) % _axisDirections.length ];\n\n\t\t\tthis._blur( cubeUVRenderTarget, i - 1, i, sigma, poleAxis );\n\n\t\t}\n\n\t\trenderer.autoClear = autoClear;\n\n\t}\n\n\t/**\n\t * This is a two-pass Gaussian blur for a cubemap. Normally this is done\n\t * vertically and horizontally, but this breaks down on a cube. Here we apply\n\t * the blur latitudinally (around the poles), and then longitudinally (towards\n\t * the poles) to approximate the orthogonally-separable blur. It is least\n\t * accurate at the poles, but still does a decent job.\n\t */\n\t_blur( cubeUVRenderTarget, lodIn, lodOut, sigma, poleAxis ) {\n\n\t\tconst pingPongRenderTarget = this._pingPongRenderTarget;\n\n\t\tthis._halfBlur(\n\t\t\tcubeUVRenderTarget,\n\t\t\tpingPongRenderTarget,\n\t\t\tlodIn,\n\t\t\tlodOut,\n\t\t\tsigma,\n\t\t\t'latitudinal',\n\t\t\tpoleAxis );\n\n\t\tthis._halfBlur(\n\t\t\tpingPongRenderTarget,\n\t\t\tcubeUVRenderTarget,\n\t\t\tlodOut,\n\t\t\tlodOut,\n\t\t\tsigma,\n\t\t\t'longitudinal',\n\t\t\tpoleAxis );\n\n\t}\n\n\t_halfBlur( targetIn, targetOut, lodIn, lodOut, sigmaRadians, direction, poleAxis ) {\n\n\t\tconst renderer = this._renderer;\n\t\tconst blurMaterial = this._blurMaterial;\n\n\t\tif ( direction !== 'latitudinal' && direction !== 'longitudinal' ) {\n\n\t\t\tconsole.error(\n\t\t\t\t'blur direction must be either latitudinal or longitudinal!' );\n\n\t\t}\n\n\t\t// Number of standard deviations at which to cut off the discrete approximation.\n\t\tconst STANDARD_DEVIATIONS = 3;\n\n\t\tconst blurMesh = new Mesh( this._lodPlanes[ lodOut ], blurMaterial );\n\t\tconst blurUniforms = blurMaterial.uniforms;\n\n\t\tconst pixels = this._sizeLods[ lodIn ] - 1;\n\t\tconst radiansPerPixel = isFinite( sigmaRadians ) ? Math.PI / ( 2 * pixels ) : 2 * Math.PI / ( 2 * MAX_SAMPLES - 1 );\n\t\tconst sigmaPixels = sigmaRadians / radiansPerPixel;\n\t\tconst samples = isFinite( sigmaRadians ) ? 1 + Math.floor( STANDARD_DEVIATIONS * sigmaPixels ) : MAX_SAMPLES;\n\n\t\tif ( samples > MAX_SAMPLES ) {\n\n\t\t\tconsole.warn( `sigmaRadians, ${\n\t\t\t\tsigmaRadians}, is too large and will clip, as it requested ${\n\t\t\t\tsamples} samples when the maximum is set to ${MAX_SAMPLES}` );\n\n\t\t}\n\n\t\tconst weights = [];\n\t\tlet sum = 0;\n\n\t\tfor ( let i = 0; i < MAX_SAMPLES; ++ i ) {\n\n\t\t\tconst x = i / sigmaPixels;\n\t\t\tconst weight = Math.exp( - x * x / 2 );\n\t\t\tweights.push( weight );\n\n\t\t\tif ( i === 0 ) {\n\n\t\t\t\tsum += weight;\n\n\t\t\t} else if ( i < samples ) {\n\n\t\t\t\tsum += 2 * weight;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfor ( let i = 0; i < weights.length; i ++ ) {\n\n\t\t\tweights[ i ] = weights[ i ] / sum;\n\n\t\t}\n\n\t\tblurUniforms[ 'envMap' ].value = targetIn.texture;\n\t\tblurUniforms[ 'samples' ].value = samples;\n\t\tblurUniforms[ 'weights' ].value = weights;\n\t\tblurUniforms[ 'latitudinal' ].value = direction === 'latitudinal';\n\n\t\tif ( poleAxis ) {\n\n\t\t\tblurUniforms[ 'poleAxis' ].value = poleAxis;\n\n\t\t}\n\n\t\tconst { _lodMax } = this;\n\t\tblurUniforms[ 'dTheta' ].value = radiansPerPixel;\n\t\tblurUniforms[ 'mipInt' ].value = _lodMax - lodIn;\n\n\t\tconst outputSize = this._sizeLods[ lodOut ];\n\t\tconst x = 3 * outputSize * ( lodOut > _lodMax - LOD_MIN ? lodOut - _lodMax + LOD_MIN : 0 );\n\t\tconst y = 4 * ( this._cubeSize - outputSize );\n\n\t\t_setViewport( targetOut, x, y, 3 * outputSize, 2 * outputSize );\n\t\trenderer.setRenderTarget( targetOut );\n\t\trenderer.render( blurMesh, _flatCamera );\n\n\t}\n\n}\n\n\n\nfunction _createPlanes( lodMax ) {\n\n\tconst lodPlanes = [];\n\tconst sizeLods = [];\n\tconst sigmas = [];\n\n\tlet lod = lodMax;\n\n\tconst totalLods = lodMax - LOD_MIN + 1 + EXTRA_LOD_SIGMA.length;\n\n\tfor ( let i = 0; i < totalLods; i ++ ) {\n\n\t\tconst sizeLod = Math.pow( 2, lod );\n\t\tsizeLods.push( sizeLod );\n\t\tlet sigma = 1.0 / sizeLod;\n\n\t\tif ( i > lodMax - LOD_MIN ) {\n\n\t\t\tsigma = EXTRA_LOD_SIGMA[ i - lodMax + LOD_MIN - 1 ];\n\n\t\t} else if ( i === 0 ) {\n\n\t\t\tsigma = 0;\n\n\t\t}\n\n\t\tsigmas.push( sigma );\n\n\t\tconst texelSize = 1.0 / ( sizeLod - 2 );\n\t\tconst min = - texelSize;\n\t\tconst max = 1 + texelSize;\n\t\tconst uv1 = [ min, min, max, min, max, max, min, min, max, max, min, max ];\n\n\t\tconst cubeFaces = 6;\n\t\tconst vertices = 6;\n\t\tconst positionSize = 3;\n\t\tconst uvSize = 2;\n\t\tconst faceIndexSize = 1;\n\n\t\tconst position = new Float32Array( positionSize * vertices * cubeFaces );\n\t\tconst uv = new Float32Array( uvSize * vertices * cubeFaces );\n\t\tconst faceIndex = new Float32Array( faceIndexSize * vertices * cubeFaces );\n\n\t\tfor ( let face = 0; face < cubeFaces; face ++ ) {\n\n\t\t\tconst x = ( face % 3 ) * 2 / 3 - 1;\n\t\t\tconst y = face > 2 ? 0 : - 1;\n\t\t\tconst coordinates = [\n\t\t\t\tx, y, 0,\n\t\t\t\tx + 2 / 3, y, 0,\n\t\t\t\tx + 2 / 3, y + 1, 0,\n\t\t\t\tx, y, 0,\n\t\t\t\tx + 2 / 3, y + 1, 0,\n\t\t\t\tx, y + 1, 0\n\t\t\t];\n\t\t\tposition.set( coordinates, positionSize * vertices * face );\n\t\t\tuv.set( uv1, uvSize * vertices * face );\n\t\t\tconst fill = [ face, face, face, face, face, face ];\n\t\t\tfaceIndex.set( fill, faceIndexSize * vertices * face );\n\n\t\t}\n\n\t\tconst planes = new BufferGeometry();\n\t\tplanes.setAttribute( 'position', new BufferAttribute( position, positionSize ) );\n\t\tplanes.setAttribute( 'uv', new BufferAttribute( uv, uvSize ) );\n\t\tplanes.setAttribute( 'faceIndex', new BufferAttribute( faceIndex, faceIndexSize ) );\n\t\tlodPlanes.push( planes );\n\n\t\tif ( lod > LOD_MIN ) {\n\n\t\t\tlod --;\n\n\t\t}\n\n\t}\n\n\treturn { lodPlanes, sizeLods, sigmas };\n\n}\n\nfunction _createRenderTarget( width, height, params ) {\n\n\tconst cubeUVRenderTarget = new WebGLRenderTarget( width, height, params );\n\tcubeUVRenderTarget.texture.mapping = CubeUVReflectionMapping;\n\tcubeUVRenderTarget.texture.name = 'PMREM.cubeUv';\n\tcubeUVRenderTarget.scissorTest = true;\n\treturn cubeUVRenderTarget;\n\n}\n\nfunction _setViewport( target, x, y, width, height ) {\n\n\ttarget.viewport.set( x, y, width, height );\n\ttarget.scissor.set( x, y, width, height );\n\n}\n\nfunction _getBlurShader( lodMax, width, height ) {\n\n\tconst weights = new Float32Array( MAX_SAMPLES );\n\tconst poleAxis = new Vector3( 0, 1, 0 );\n\tconst shaderMaterial = new ShaderMaterial( {\n\n\t\tname: 'SphericalGaussianBlur',\n\n\t\tdefines: {\n\t\t\t'n': MAX_SAMPLES,\n\t\t\t'CUBEUV_TEXEL_WIDTH': 1.0 / width,\n\t\t\t'CUBEUV_TEXEL_HEIGHT': 1.0 / height,\n\t\t\t'CUBEUV_MAX_MIP': `${lodMax}.0`,\n\t\t},\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null },\n\t\t\t'samples': { value: 1 },\n\t\t\t'weights': { value: weights },\n\t\t\t'latitudinal': { value: false },\n\t\t\t'dTheta': { value: 0 },\n\t\t\t'mipInt': { value: 0 },\n\t\t\t'poleAxis': { value: poleAxis }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform sampler2D envMap;\n\t\t\tuniform int samples;\n\t\t\tuniform float weights[ n ];\n\t\t\tuniform bool latitudinal;\n\t\t\tuniform float dTheta;\n\t\t\tuniform float mipInt;\n\t\t\tuniform vec3 poleAxis;\n\n\t\t\t#define ENVMAP_TYPE_CUBE_UV\n\t\t\t#include \n\n\t\t\tvec3 getSample( float theta, vec3 axis ) {\n\n\t\t\t\tfloat cosTheta = cos( theta );\n\t\t\t\t// Rodrigues' axis-angle rotation\n\t\t\t\tvec3 sampleDirection = vOutputDirection * cosTheta\n\t\t\t\t\t+ cross( axis, vOutputDirection ) * sin( theta )\n\t\t\t\t\t+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );\n\n\t\t\t\treturn bilinearCubeUV( envMap, sampleDirection, mipInt );\n\n\t\t\t}\n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );\n\n\t\t\t\tif ( all( equal( axis, vec3( 0.0 ) ) ) ) {\n\n\t\t\t\t\taxis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );\n\n\t\t\t\t}\n\n\t\t\t\taxis = normalize( axis );\n\n\t\t\t\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\n\t\t\t\tgl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );\n\n\t\t\t\tfor ( int i = 1; i < n; i++ ) {\n\n\t\t\t\t\tif ( i >= samples ) {\n\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfloat theta = dTheta * float( i );\n\t\t\t\t\tgl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );\n\t\t\t\t\tgl_FragColor.rgb += weights[ i ] * getSample( theta, axis );\n\n\t\t\t\t}\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n\treturn shaderMaterial;\n\n}\n\nfunction _getEquirectMaterial() {\n\n\treturn new ShaderMaterial( {\n\n\t\tname: 'EquirectangularToCubeUV',\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform sampler2D envMap;\n\n\t\t\t#include \n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 outputDirection = normalize( vOutputDirection );\n\t\t\t\tvec2 uv = equirectUv( outputDirection );\n\n\t\t\t\tgl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 );\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n}\n\nfunction _getCubemapMaterial() {\n\n\treturn new ShaderMaterial( {\n\n\t\tname: 'CubemapToCubeUV',\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null },\n\t\t\t'flipEnvMap': { value: - 1 }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tuniform float flipEnvMap;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform samplerCube envMap;\n\n\t\t\tvoid main() {\n\n\t\t\t\tgl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) );\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n}\n\nfunction _getCommonVertexShader() {\n\n\treturn /* glsl */`\n\n\t\tprecision mediump float;\n\t\tprecision mediump int;\n\n\t\tattribute float faceIndex;\n\n\t\tvarying vec3 vOutputDirection;\n\n\t\t// RH coordinate system; PMREM face-indexing convention\n\t\tvec3 getDirection( vec2 uv, float face ) {\n\n\t\t\tuv = 2.0 * uv - 1.0;\n\n\t\t\tvec3 direction = vec3( uv, 1.0 );\n\n\t\t\tif ( face == 0.0 ) {\n\n\t\t\t\tdirection = direction.zyx; // ( 1, v, u ) pos x\n\n\t\t\t} else if ( face == 1.0 ) {\n\n\t\t\t\tdirection = direction.xzy;\n\t\t\t\tdirection.xz *= -1.0; // ( -u, 1, -v ) pos y\n\n\t\t\t} else if ( face == 2.0 ) {\n\n\t\t\t\tdirection.x *= -1.0; // ( -u, v, 1 ) pos z\n\n\t\t\t} else if ( face == 3.0 ) {\n\n\t\t\t\tdirection = direction.zyx;\n\t\t\t\tdirection.xz *= -1.0; // ( -1, v, -u ) neg x\n\n\t\t\t} else if ( face == 4.0 ) {\n\n\t\t\t\tdirection = direction.xzy;\n\t\t\t\tdirection.xy *= -1.0; // ( -u, -1, v ) neg y\n\n\t\t\t} else if ( face == 5.0 ) {\n\n\t\t\t\tdirection.z *= -1.0; // ( u, v, -1 ) neg z\n\n\t\t\t}\n\n\t\t\treturn direction;\n\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvOutputDirection = getDirection( uv, faceIndex );\n\t\t\tgl_Position = vec4( position, 1.0 );\n\n\t\t}\n\t`;\n\n}\n\nfunction WebGLCubeUVMaps( renderer ) {\n\n\tlet cubeUVmaps = new WeakMap();\n\n\tlet pmremGenerator = null;\n\n\tfunction get( texture ) {\n\n\t\tif ( texture && texture.isTexture ) {\n\n\t\t\tconst mapping = texture.mapping;\n\n\t\t\tconst isEquirectMap = ( mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping );\n\t\t\tconst isCubeMap = ( mapping === CubeReflectionMapping || mapping === CubeRefractionMapping );\n\n\t\t\t// equirect/cube map to cubeUV conversion\n\n\t\t\tif ( isEquirectMap || isCubeMap ) {\n\n\t\t\t\tif ( texture.isRenderTargetTexture && texture.needsPMREMUpdate === true ) {\n\n\t\t\t\t\ttexture.needsPMREMUpdate = false;\n\n\t\t\t\t\tlet renderTarget = cubeUVmaps.get( texture );\n\n\t\t\t\t\tif ( pmremGenerator === null ) pmremGenerator = new PMREMGenerator( renderer );\n\n\t\t\t\t\trenderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular( texture, renderTarget ) : pmremGenerator.fromCubemap( texture, renderTarget );\n\t\t\t\t\tcubeUVmaps.set( texture, renderTarget );\n\n\t\t\t\t\treturn renderTarget.texture;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( cubeUVmaps.has( texture ) ) {\n\n\t\t\t\t\t\treturn cubeUVmaps.get( texture ).texture;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst image = texture.image;\n\n\t\t\t\t\t\tif ( ( isEquirectMap && image && image.height > 0 ) || ( isCubeMap && image && isCubeTextureComplete( image ) ) ) {\n\n\t\t\t\t\t\t\tif ( pmremGenerator === null ) pmremGenerator = new PMREMGenerator( renderer );\n\n\t\t\t\t\t\t\tconst renderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular( texture ) : pmremGenerator.fromCubemap( texture );\n\t\t\t\t\t\t\tcubeUVmaps.set( texture, renderTarget );\n\n\t\t\t\t\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t\t\t\t\t\treturn renderTarget.texture;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// image not yet ready. try the conversion next frame\n\n\t\t\t\t\t\t\treturn null;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction isCubeTextureComplete( image ) {\n\n\t\tlet count = 0;\n\t\tconst length = 6;\n\n\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\tif ( image[ i ] !== undefined ) count ++;\n\n\t\t}\n\n\t\treturn count === length;\n\n\n\t}\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tconst cubemapUV = cubeUVmaps.get( texture );\n\n\t\tif ( cubemapUV !== undefined ) {\n\n\t\t\tcubeUVmaps.delete( texture );\n\t\t\tcubemapUV.dispose();\n\n\t\t}\n\n\t}\n\n\tfunction dispose() {\n\n\t\tcubeUVmaps = new WeakMap();\n\n\t\tif ( pmremGenerator !== null ) {\n\n\t\t\tpmremGenerator.dispose();\n\t\t\tpmremGenerator = null;\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction WebGLExtensions( gl ) {\n\n\tconst extensions = {};\n\n\tfunction getExtension( name ) {\n\n\t\tif ( extensions[ name ] !== undefined ) {\n\n\t\t\treturn extensions[ name ];\n\n\t\t}\n\n\t\tlet extension;\n\n\t\tswitch ( name ) {\n\n\t\t\tcase 'WEBGL_depth_texture':\n\t\t\t\textension = gl.getExtension( 'WEBGL_depth_texture' ) || gl.getExtension( 'MOZ_WEBGL_depth_texture' ) || gl.getExtension( 'WEBKIT_WEBGL_depth_texture' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'EXT_texture_filter_anisotropic':\n\t\t\t\textension = gl.getExtension( 'EXT_texture_filter_anisotropic' ) || gl.getExtension( 'MOZ_EXT_texture_filter_anisotropic' ) || gl.getExtension( 'WEBKIT_EXT_texture_filter_anisotropic' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'WEBGL_compressed_texture_s3tc':\n\t\t\t\textension = gl.getExtension( 'WEBGL_compressed_texture_s3tc' ) || gl.getExtension( 'MOZ_WEBGL_compressed_texture_s3tc' ) || gl.getExtension( 'WEBKIT_WEBGL_compressed_texture_s3tc' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'WEBGL_compressed_texture_pvrtc':\n\t\t\t\textension = gl.getExtension( 'WEBGL_compressed_texture_pvrtc' ) || gl.getExtension( 'WEBKIT_WEBGL_compressed_texture_pvrtc' );\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\textension = gl.getExtension( name );\n\n\t\t}\n\n\t\textensions[ name ] = extension;\n\n\t\treturn extension;\n\n\t}\n\n\treturn {\n\n\t\thas: function ( name ) {\n\n\t\t\treturn getExtension( name ) !== null;\n\n\t\t},\n\n\t\tinit: function ( capabilities ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\tgetExtension( 'EXT_color_buffer_float' );\n\t\t\t\tgetExtension( 'WEBGL_clip_cull_distance' );\n\n\t\t\t} else {\n\n\t\t\t\tgetExtension( 'WEBGL_depth_texture' );\n\t\t\t\tgetExtension( 'OES_texture_float' );\n\t\t\t\tgetExtension( 'OES_texture_half_float' );\n\t\t\t\tgetExtension( 'OES_texture_half_float_linear' );\n\t\t\t\tgetExtension( 'OES_standard_derivatives' );\n\t\t\t\tgetExtension( 'OES_element_index_uint' );\n\t\t\t\tgetExtension( 'OES_vertex_array_object' );\n\t\t\t\tgetExtension( 'ANGLE_instanced_arrays' );\n\n\t\t\t}\n\n\t\t\tgetExtension( 'OES_texture_float_linear' );\n\t\t\tgetExtension( 'EXT_color_buffer_half_float' );\n\t\t\tgetExtension( 'WEBGL_multisampled_render_to_texture' );\n\n\t\t},\n\n\t\tget: function ( name ) {\n\n\t\t\tconst extension = getExtension( name );\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: ' + name + ' extension not supported.' );\n\n\t\t\t}\n\n\t\t\treturn extension;\n\n\t\t}\n\n\t};\n\n}\n\nfunction WebGLGeometries( gl, attributes, info, bindingStates ) {\n\n\tconst geometries = {};\n\tconst wireframeAttributes = new WeakMap();\n\n\tfunction onGeometryDispose( event ) {\n\n\t\tconst geometry = event.target;\n\n\t\tif ( geometry.index !== null ) {\n\n\t\t\tattributes.remove( geometry.index );\n\n\t\t}\n\n\t\tfor ( const name in geometry.attributes ) {\n\n\t\t\tattributes.remove( geometry.attributes[ name ] );\n\n\t\t}\n\n\t\tfor ( const name in geometry.morphAttributes ) {\n\n\t\t\tconst array = geometry.morphAttributes[ name ];\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tattributes.remove( array[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.removeEventListener( 'dispose', onGeometryDispose );\n\n\t\tdelete geometries[ geometry.id ];\n\n\t\tconst attribute = wireframeAttributes.get( geometry );\n\n\t\tif ( attribute ) {\n\n\t\t\tattributes.remove( attribute );\n\t\t\twireframeAttributes.delete( geometry );\n\n\t\t}\n\n\t\tbindingStates.releaseStatesOfGeometry( geometry );\n\n\t\tif ( geometry.isInstancedBufferGeometry === true ) {\n\n\t\t\tdelete geometry._maxInstanceCount;\n\n\t\t}\n\n\t\t//\n\n\t\tinfo.memory.geometries --;\n\n\t}\n\n\tfunction get( object, geometry ) {\n\n\t\tif ( geometries[ geometry.id ] === true ) return geometry;\n\n\t\tgeometry.addEventListener( 'dispose', onGeometryDispose );\n\n\t\tgeometries[ geometry.id ] = true;\n\n\t\tinfo.memory.geometries ++;\n\n\t\treturn geometry;\n\n\t}\n\n\tfunction update( geometry ) {\n\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\t// Updating index buffer in VAO now. See WebGLBindingStates.\n\n\t\tfor ( const name in geometryAttributes ) {\n\n\t\t\tattributes.update( geometryAttributes[ name ], gl.ARRAY_BUFFER );\n\n\t\t}\n\n\t\t// morph targets\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst array = morphAttributes[ name ];\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tattributes.update( array[ i ], gl.ARRAY_BUFFER );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction updateWireframeAttribute( geometry ) {\n\n\t\tconst indices = [];\n\n\t\tconst geometryIndex = geometry.index;\n\t\tconst geometryPosition = geometry.attributes.position;\n\t\tlet version = 0;\n\n\t\tif ( geometryIndex !== null ) {\n\n\t\t\tconst array = geometryIndex.array;\n\t\t\tversion = geometryIndex.version;\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i += 3 ) {\n\n\t\t\t\tconst a = array[ i + 0 ];\n\t\t\t\tconst b = array[ i + 1 ];\n\t\t\t\tconst c = array[ i + 2 ];\n\n\t\t\t\tindices.push( a, b, b, c, c, a );\n\n\t\t\t}\n\n\t\t} else if ( geometryPosition !== undefined ) {\n\n\t\t\tconst array = geometryPosition.array;\n\t\t\tversion = geometryPosition.version;\n\n\t\t\tfor ( let i = 0, l = ( array.length / 3 ) - 1; i < l; i += 3 ) {\n\n\t\t\t\tconst a = i + 0;\n\t\t\t\tconst b = i + 1;\n\t\t\t\tconst c = i + 2;\n\n\t\t\t\tindices.push( a, b, b, c, c, a );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst attribute = new ( arrayNeedsUint32( indices ) ? Uint32BufferAttribute : Uint16BufferAttribute )( indices, 1 );\n\t\tattribute.version = version;\n\n\t\t// Updating index buffer in VAO now. See WebGLBindingStates\n\n\t\t//\n\n\t\tconst previousAttribute = wireframeAttributes.get( geometry );\n\n\t\tif ( previousAttribute ) attributes.remove( previousAttribute );\n\n\t\t//\n\n\t\twireframeAttributes.set( geometry, attribute );\n\n\t}\n\n\tfunction getWireframeAttribute( geometry ) {\n\n\t\tconst currentAttribute = wireframeAttributes.get( geometry );\n\n\t\tif ( currentAttribute ) {\n\n\t\t\tconst geometryIndex = geometry.index;\n\n\t\t\tif ( geometryIndex !== null ) {\n\n\t\t\t\t// if the attribute is obsolete, create a new one\n\n\t\t\t\tif ( currentAttribute.version < geometryIndex.version ) {\n\n\t\t\t\t\tupdateWireframeAttribute( geometry );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tupdateWireframeAttribute( geometry );\n\n\t\t}\n\n\t\treturn wireframeAttributes.get( geometry );\n\n\t}\n\n\treturn {\n\n\t\tget: get,\n\t\tupdate: update,\n\n\t\tgetWireframeAttribute: getWireframeAttribute\n\n\t};\n\n}\n\nfunction WebGLIndexedBufferRenderer( gl, extensions, info, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tlet mode;\n\n\tfunction setMode( value ) {\n\n\t\tmode = value;\n\n\t}\n\n\tlet type, bytesPerElement;\n\n\tfunction setIndex( value ) {\n\n\t\ttype = value.type;\n\t\tbytesPerElement = value.bytesPerElement;\n\n\t}\n\n\tfunction render( start, count ) {\n\n\t\tgl.drawElements( mode, count, type, start * bytesPerElement );\n\n\t\tinfo.update( count, mode, 1 );\n\n\t}\n\n\tfunction renderInstances( start, count, primcount ) {\n\n\t\tif ( primcount === 0 ) return;\n\n\t\tlet extension, methodName;\n\n\t\tif ( isWebGL2 ) {\n\n\t\t\textension = gl;\n\t\t\tmethodName = 'drawElementsInstanced';\n\n\t\t} else {\n\n\t\t\textension = extensions.get( 'ANGLE_instanced_arrays' );\n\t\t\tmethodName = 'drawElementsInstancedANGLE';\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\textension[ methodName ]( mode, count, type, start * bytesPerElement, primcount );\n\n\t\tinfo.update( count, mode, primcount );\n\n\t}\n\n\tfunction renderMultiDraw( starts, counts, drawCount ) {\n\n\t\tif ( drawCount === 0 ) return;\n\n\t\tconst extension = extensions.get( 'WEBGL_multi_draw' );\n\t\tif ( extension === null ) {\n\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\tthis.render( starts[ i ] / bytesPerElement, counts[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\textension.multiDrawElementsWEBGL( mode, counts, 0, type, starts, 0, drawCount );\n\n\t\t\tlet elementCount = 0;\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\telementCount += counts[ i ];\n\n\t\t\t}\n\n\t\t\tinfo.update( elementCount, mode, 1 );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tthis.setMode = setMode;\n\tthis.setIndex = setIndex;\n\tthis.render = render;\n\tthis.renderInstances = renderInstances;\n\tthis.renderMultiDraw = renderMultiDraw;\n\n}\n\nfunction WebGLInfo( gl ) {\n\n\tconst memory = {\n\t\tgeometries: 0,\n\t\ttextures: 0\n\t};\n\n\tconst render = {\n\t\tframe: 0,\n\t\tcalls: 0,\n\t\ttriangles: 0,\n\t\tpoints: 0,\n\t\tlines: 0\n\t};\n\n\tfunction update( count, mode, instanceCount ) {\n\n\t\trender.calls ++;\n\n\t\tswitch ( mode ) {\n\n\t\t\tcase gl.TRIANGLES:\n\t\t\t\trender.triangles += instanceCount * ( count / 3 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINES:\n\t\t\t\trender.lines += instanceCount * ( count / 2 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINE_STRIP:\n\t\t\t\trender.lines += instanceCount * ( count - 1 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINE_LOOP:\n\t\t\t\trender.lines += instanceCount * count;\n\t\t\t\tbreak;\n\n\t\t\tcase gl.POINTS:\n\t\t\t\trender.points += instanceCount * count;\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tconsole.error( 'THREE.WebGLInfo: Unknown draw mode:', mode );\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\tfunction reset() {\n\n\t\trender.calls = 0;\n\t\trender.triangles = 0;\n\t\trender.points = 0;\n\t\trender.lines = 0;\n\n\t}\n\n\treturn {\n\t\tmemory: memory,\n\t\trender: render,\n\t\tprograms: null,\n\t\tautoReset: true,\n\t\treset: reset,\n\t\tupdate: update\n\t};\n\n}\n\nfunction numericalSort( a, b ) {\n\n\treturn a[ 0 ] - b[ 0 ];\n\n}\n\nfunction absNumericalSort( a, b ) {\n\n\treturn Math.abs( b[ 1 ] ) - Math.abs( a[ 1 ] );\n\n}\n\nfunction WebGLMorphtargets( gl, capabilities, textures ) {\n\n\tconst influencesList = {};\n\tconst morphInfluences = new Float32Array( 8 );\n\tconst morphTextures = new WeakMap();\n\tconst morph = new Vector4();\n\n\tconst workInfluences = [];\n\n\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\tworkInfluences[ i ] = [ i, 0 ];\n\n\t}\n\n\tfunction update( object, geometry, program ) {\n\n\t\tconst objectInfluences = object.morphTargetInfluences;\n\n\t\tif ( capabilities.isWebGL2 === true ) {\n\n\t\t\t// instead of using attributes, the WebGL 2 code path encodes morph targets\n\t\t\t// into an array of data textures. Each layer represents a single morph target.\n\n\t\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\t\tlet entry = morphTextures.get( geometry );\n\n\t\t\tif ( entry === undefined || entry.count !== morphTargetsCount ) {\n\n\t\t\t\tif ( entry !== undefined ) entry.texture.dispose();\n\n\t\t\t\tconst hasMorphPosition = geometry.morphAttributes.position !== undefined;\n\t\t\t\tconst hasMorphNormals = geometry.morphAttributes.normal !== undefined;\n\t\t\t\tconst hasMorphColors = geometry.morphAttributes.color !== undefined;\n\n\t\t\t\tconst morphTargets = geometry.morphAttributes.position || [];\n\t\t\t\tconst morphNormals = geometry.morphAttributes.normal || [];\n\t\t\t\tconst morphColors = geometry.morphAttributes.color || [];\n\n\t\t\t\tlet vertexDataCount = 0;\n\n\t\t\t\tif ( hasMorphPosition === true ) vertexDataCount = 1;\n\t\t\t\tif ( hasMorphNormals === true ) vertexDataCount = 2;\n\t\t\t\tif ( hasMorphColors === true ) vertexDataCount = 3;\n\n\t\t\t\tlet width = geometry.attributes.position.count * vertexDataCount;\n\t\t\t\tlet height = 1;\n\n\t\t\t\tif ( width > capabilities.maxTextureSize ) {\n\n\t\t\t\t\theight = Math.ceil( width / capabilities.maxTextureSize );\n\t\t\t\t\twidth = capabilities.maxTextureSize;\n\n\t\t\t\t}\n\n\t\t\t\tconst buffer = new Float32Array( width * height * 4 * morphTargetsCount );\n\n\t\t\t\tconst texture = new DataArrayTexture( buffer, width, height, morphTargetsCount );\n\t\t\t\ttexture.type = FloatType;\n\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t// fill buffer\n\n\t\t\t\tconst vertexDataStride = vertexDataCount * 4;\n\n\t\t\t\tfor ( let i = 0; i < morphTargetsCount; i ++ ) {\n\n\t\t\t\t\tconst morphTarget = morphTargets[ i ];\n\t\t\t\t\tconst morphNormal = morphNormals[ i ];\n\t\t\t\t\tconst morphColor = morphColors[ i ];\n\n\t\t\t\t\tconst offset = width * height * 4 * i;\n\n\t\t\t\t\tfor ( let j = 0; j < morphTarget.count; j ++ ) {\n\n\t\t\t\t\t\tconst stride = j * vertexDataStride;\n\n\t\t\t\t\t\tif ( hasMorphPosition === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphTarget, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 0 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 1 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 2 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 3 ] = 0;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( hasMorphNormals === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphNormal, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 4 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 5 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 6 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 7 ] = 0;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( hasMorphColors === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphColor, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 8 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 9 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 10 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 11 ] = ( morphColor.itemSize === 4 ) ? morph.w : 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tentry = {\n\t\t\t\t\tcount: morphTargetsCount,\n\t\t\t\t\ttexture: texture,\n\t\t\t\t\tsize: new Vector2( width, height )\n\t\t\t\t};\n\n\t\t\t\tmorphTextures.set( geometry, entry );\n\n\t\t\t\tfunction disposeTexture() {\n\n\t\t\t\t\ttexture.dispose();\n\n\t\t\t\t\tmorphTextures.delete( geometry );\n\n\t\t\t\t\tgeometry.removeEventListener( 'dispose', disposeTexture );\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.addEventListener( 'dispose', disposeTexture );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet morphInfluencesSum = 0;\n\n\t\t\tfor ( let i = 0; i < objectInfluences.length; i ++ ) {\n\n\t\t\t\tmorphInfluencesSum += objectInfluences[ i ];\n\n\t\t\t}\n\n\t\t\tconst morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetBaseInfluence', morphBaseInfluence );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetInfluences', objectInfluences );\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetsTexture', entry.texture, textures );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetsTextureSize', entry.size );\n\n\n\t\t} else {\n\n\t\t\t// When object doesn't have morph target influences defined, we treat it as a 0-length array\n\t\t\t// This is important to make sure we set up morphTargetBaseInfluence / morphTargetInfluences\n\n\t\t\tconst length = objectInfluences === undefined ? 0 : objectInfluences.length;\n\n\t\t\tlet influences = influencesList[ geometry.id ];\n\n\t\t\tif ( influences === undefined || influences.length !== length ) {\n\n\t\t\t\t// initialise list\n\n\t\t\t\tinfluences = [];\n\n\t\t\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\t\t\tinfluences[ i ] = [ i, 0 ];\n\n\t\t\t\t}\n\n\t\t\t\tinfluencesList[ geometry.id ] = influences;\n\n\t\t\t}\n\n\t\t\t// Collect influences\n\n\t\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\t\tconst influence = influences[ i ];\n\n\t\t\t\tinfluence[ 0 ] = i;\n\t\t\t\tinfluence[ 1 ] = objectInfluences[ i ];\n\n\t\t\t}\n\n\t\t\tinfluences.sort( absNumericalSort );\n\n\t\t\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\t\t\tif ( i < length && influences[ i ][ 1 ] ) {\n\n\t\t\t\t\tworkInfluences[ i ][ 0 ] = influences[ i ][ 0 ];\n\t\t\t\t\tworkInfluences[ i ][ 1 ] = influences[ i ][ 1 ];\n\n\t\t\t\t} else {\n\n\t\t\t\t\tworkInfluences[ i ][ 0 ] = Number.MAX_SAFE_INTEGER;\n\t\t\t\t\tworkInfluences[ i ][ 1 ] = 0;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tworkInfluences.sort( numericalSort );\n\n\t\t\tconst morphTargets = geometry.morphAttributes.position;\n\t\t\tconst morphNormals = geometry.morphAttributes.normal;\n\n\t\t\tlet morphInfluencesSum = 0;\n\n\t\t\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\t\t\tconst influence = workInfluences[ i ];\n\t\t\t\tconst index = influence[ 0 ];\n\t\t\t\tconst value = influence[ 1 ];\n\n\t\t\t\tif ( index !== Number.MAX_SAFE_INTEGER && value ) {\n\n\t\t\t\t\tif ( morphTargets && geometry.getAttribute( 'morphTarget' + i ) !== morphTargets[ index ] ) {\n\n\t\t\t\t\t\tgeometry.setAttribute( 'morphTarget' + i, morphTargets[ index ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( morphNormals && geometry.getAttribute( 'morphNormal' + i ) !== morphNormals[ index ] ) {\n\n\t\t\t\t\t\tgeometry.setAttribute( 'morphNormal' + i, morphNormals[ index ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tmorphInfluences[ i ] = value;\n\t\t\t\t\tmorphInfluencesSum += value;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( morphTargets && geometry.hasAttribute( 'morphTarget' + i ) === true ) {\n\n\t\t\t\t\t\tgeometry.deleteAttribute( 'morphTarget' + i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( morphNormals && geometry.hasAttribute( 'morphNormal' + i ) === true ) {\n\n\t\t\t\t\t\tgeometry.deleteAttribute( 'morphNormal' + i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tmorphInfluences[ i ] = 0;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// GLSL shader uses formula baseinfluence * base + sum(target * influence)\n\t\t\t// This allows us to switch between absolute morphs and relative morphs without changing shader code\n\t\t\t// When baseinfluence = 1 - sum(influence), the above is equivalent to sum((target - base) * influence)\n\t\t\tconst morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetBaseInfluence', morphBaseInfluence );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetInfluences', morphInfluences );\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\tupdate: update\n\n\t};\n\n}\n\nfunction WebGLObjects( gl, geometries, attributes, info ) {\n\n\tlet updateMap = new WeakMap();\n\n\tfunction update( object ) {\n\n\t\tconst frame = info.render.frame;\n\n\t\tconst geometry = object.geometry;\n\t\tconst buffergeometry = geometries.get( object, geometry );\n\n\t\t// Update once per frame\n\n\t\tif ( updateMap.get( buffergeometry ) !== frame ) {\n\n\t\t\tgeometries.update( buffergeometry );\n\n\t\t\tupdateMap.set( buffergeometry, frame );\n\n\t\t}\n\n\t\tif ( object.isInstancedMesh ) {\n\n\t\t\tif ( object.hasEventListener( 'dispose', onInstancedMeshDispose ) === false ) {\n\n\t\t\t\tobject.addEventListener( 'dispose', onInstancedMeshDispose );\n\n\t\t\t}\n\n\t\t\tif ( updateMap.get( object ) !== frame ) {\n\n\t\t\t\tattributes.update( object.instanceMatrix, gl.ARRAY_BUFFER );\n\n\t\t\t\tif ( object.instanceColor !== null ) {\n\n\t\t\t\t\tattributes.update( object.instanceColor, gl.ARRAY_BUFFER );\n\n\t\t\t\t}\n\n\t\t\t\tupdateMap.set( object, frame );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( object.isSkinnedMesh ) {\n\n\t\t\tconst skeleton = object.skeleton;\n\n\t\t\tif ( updateMap.get( skeleton ) !== frame ) {\n\n\t\t\t\tskeleton.update();\n\n\t\t\t\tupdateMap.set( skeleton, frame );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn buffergeometry;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tupdateMap = new WeakMap();\n\n\t}\n\n\tfunction onInstancedMeshDispose( event ) {\n\n\t\tconst instancedMesh = event.target;\n\n\t\tinstancedMesh.removeEventListener( 'dispose', onInstancedMeshDispose );\n\n\t\tattributes.remove( instancedMesh.instanceMatrix );\n\n\t\tif ( instancedMesh.instanceColor !== null ) attributes.remove( instancedMesh.instanceColor );\n\n\t}\n\n\treturn {\n\n\t\tupdate: update,\n\t\tdispose: dispose\n\n\t};\n\n}\n\nclass DepthTexture extends Texture {\n\n\tconstructor( width, height, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, format ) {\n\n\t\tformat = format !== undefined ? format : DepthFormat;\n\n\t\tif ( format !== DepthFormat && format !== DepthStencilFormat ) {\n\n\t\t\tthrow new Error( 'DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat' );\n\n\t\t}\n\n\t\tif ( type === undefined && format === DepthFormat ) type = UnsignedIntType;\n\t\tif ( type === undefined && format === DepthStencilFormat ) type = UnsignedInt248Type;\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isDepthTexture = true;\n\n\t\tthis.image = { width: width, height: height };\n\n\t\tthis.magFilter = magFilter !== undefined ? magFilter : NearestFilter;\n\t\tthis.minFilter = minFilter !== undefined ? minFilter : NearestFilter;\n\n\t\tthis.flipY = false;\n\t\tthis.generateMipmaps = false;\n\n\t\tthis.compareFunction = null;\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.compareFunction = source.compareFunction;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.compareFunction !== null ) data.compareFunction = this.compareFunction;\n\n\t\treturn data;\n\n\t}\n\n}\n\n/**\n * Uniforms of a program.\n * Those form a tree structure with a special top-level container for the root,\n * which you get by calling 'new WebGLUniforms( gl, program )'.\n *\n *\n * Properties of inner nodes including the top-level container:\n *\n * .seq - array of nested uniforms\n * .map - nested uniforms by name\n *\n *\n * Methods of all nodes except the top-level container:\n *\n * .setValue( gl, value, [textures] )\n *\n * \t\tuploads a uniform value(s)\n * \tthe 'textures' parameter is needed for sampler uniforms\n *\n *\n * Static methods of the top-level container (textures factorizations):\n *\n * .upload( gl, seq, values, textures )\n *\n * \t\tsets uniforms in 'seq' to 'values[id].value'\n *\n * .seqWithValue( seq, values ) : filteredSeq\n *\n * \t\tfilters 'seq' entries with corresponding entry in values\n *\n *\n * Methods of the top-level container (textures factorizations):\n *\n * .setValue( gl, name, value, textures )\n *\n * \t\tsets uniform with name 'name' to 'value'\n *\n * .setOptional( gl, obj, prop )\n *\n * \t\tlike .set for an optional property of the object\n *\n */\n\n\nconst emptyTexture = /*@__PURE__*/ new Texture();\n\nconst emptyShadowTexture = /*@__PURE__*/ new DepthTexture( 1, 1 );\nemptyShadowTexture.compareFunction = LessEqualCompare;\n\nconst emptyArrayTexture = /*@__PURE__*/ new DataArrayTexture();\nconst empty3dTexture = /*@__PURE__*/ new Data3DTexture();\nconst emptyCubeTexture = /*@__PURE__*/ new CubeTexture();\n\n// --- Utilities ---\n\n// Array Caches (provide typed arrays for temporary by size)\n\nconst arrayCacheF32 = [];\nconst arrayCacheI32 = [];\n\n// Float32Array caches used for uploading Matrix uniforms\n\nconst mat4array = new Float32Array( 16 );\nconst mat3array = new Float32Array( 9 );\nconst mat2array = new Float32Array( 4 );\n\n// Flattening for arrays of vectors and matrices\n\nfunction flatten( array, nBlocks, blockSize ) {\n\n\tconst firstElem = array[ 0 ];\n\n\tif ( firstElem <= 0 || firstElem > 0 ) return array;\n\t// unoptimized: ! isNaN( firstElem )\n\t// see http://jacksondunstan.com/articles/983\n\n\tconst n = nBlocks * blockSize;\n\tlet r = arrayCacheF32[ n ];\n\n\tif ( r === undefined ) {\n\n\t\tr = new Float32Array( n );\n\t\tarrayCacheF32[ n ] = r;\n\n\t}\n\n\tif ( nBlocks !== 0 ) {\n\n\t\tfirstElem.toArray( r, 0 );\n\n\t\tfor ( let i = 1, offset = 0; i !== nBlocks; ++ i ) {\n\n\t\t\toffset += blockSize;\n\t\t\tarray[ i ].toArray( r, offset );\n\n\t\t}\n\n\t}\n\n\treturn r;\n\n}\n\nfunction arraysEqual( a, b ) {\n\n\tif ( a.length !== b.length ) return false;\n\n\tfor ( let i = 0, l = a.length; i < l; i ++ ) {\n\n\t\tif ( a[ i ] !== b[ i ] ) return false;\n\n\t}\n\n\treturn true;\n\n}\n\nfunction copyArray( a, b ) {\n\n\tfor ( let i = 0, l = b.length; i < l; i ++ ) {\n\n\t\ta[ i ] = b[ i ];\n\n\t}\n\n}\n\n// Texture unit allocation\n\nfunction allocTexUnits( textures, n ) {\n\n\tlet r = arrayCacheI32[ n ];\n\n\tif ( r === undefined ) {\n\n\t\tr = new Int32Array( n );\n\t\tarrayCacheI32[ n ] = r;\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\tr[ i ] = textures.allocateTextureUnit();\n\n\t}\n\n\treturn r;\n\n}\n\n// --- Setters ---\n\n// Note: Defining these methods externally, because they come in a bunch\n// and this way their names minify.\n\n// Single scalar\n\nfunction setValueV1f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1f( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single float vector (from flat array or THREE.VectorN)\n\nfunction setValueV2f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2f( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3f( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else if ( v.r !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.r || cache[ 1 ] !== v.g || cache[ 2 ] !== v.b ) {\n\n\t\t\tgl.uniform3f( this.addr, v.r, v.g, v.b );\n\n\t\t\tcache[ 0 ] = v.r;\n\t\t\tcache[ 1 ] = v.g;\n\t\t\tcache[ 2 ] = v.b;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4f( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n// Single matrix (from flat array or THREE.MatrixN)\n\nfunction setValueM2( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix2fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat2array.set( elements );\n\n\t\tgl.uniformMatrix2fv( this.addr, false, mat2array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\nfunction setValueM3( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix3fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat3array.set( elements );\n\n\t\tgl.uniformMatrix3fv( this.addr, false, mat3array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\nfunction setValueM4( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix4fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat4array.set( elements );\n\n\t\tgl.uniformMatrix4fv( this.addr, false, mat4array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\n// Single integer / boolean\n\nfunction setValueV1i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1i( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single integer / boolean vector (from flat array or THREE.VectorN)\n\nfunction setValueV2i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2i( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3i( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4i( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n// Single unsigned integer\n\nfunction setValueV1ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1ui( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single unsigned integer vector (from flat array or THREE.VectorN)\n\nfunction setValueV2ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2ui( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3ui( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4ui( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n\n// Single texture (2D / Cube)\n\nfunction setValueT1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\tconst emptyTexture2D = ( this.type === gl.SAMPLER_2D_SHADOW ) ? emptyShadowTexture : emptyTexture;\n\n\ttextures.setTexture2D( v || emptyTexture2D, unit );\n\n}\n\nfunction setValueT3D1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTexture3D( v || empty3dTexture, unit );\n\n}\n\nfunction setValueT6( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTextureCube( v || emptyCubeTexture, unit );\n\n}\n\nfunction setValueT2DArray1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTexture2DArray( v || emptyArrayTexture, unit );\n\n}\n\n// Helper to pick the right setter for the singular case\n\nfunction getSingularSetter( type ) {\n\n\tswitch ( type ) {\n\n\t\tcase 0x1406: return setValueV1f; // FLOAT\n\t\tcase 0x8b50: return setValueV2f; // _VEC2\n\t\tcase 0x8b51: return setValueV3f; // _VEC3\n\t\tcase 0x8b52: return setValueV4f; // _VEC4\n\n\t\tcase 0x8b5a: return setValueM2; // _MAT2\n\t\tcase 0x8b5b: return setValueM3; // _MAT3\n\t\tcase 0x8b5c: return setValueM4; // _MAT4\n\n\t\tcase 0x1404: case 0x8b56: return setValueV1i; // INT, BOOL\n\t\tcase 0x8b53: case 0x8b57: return setValueV2i; // _VEC2\n\t\tcase 0x8b54: case 0x8b58: return setValueV3i; // _VEC3\n\t\tcase 0x8b55: case 0x8b59: return setValueV4i; // _VEC4\n\n\t\tcase 0x1405: return setValueV1ui; // UINT\n\t\tcase 0x8dc6: return setValueV2ui; // _VEC2\n\t\tcase 0x8dc7: return setValueV3ui; // _VEC3\n\t\tcase 0x8dc8: return setValueV4ui; // _VEC4\n\n\t\tcase 0x8b5e: // SAMPLER_2D\n\t\tcase 0x8d66: // SAMPLER_EXTERNAL_OES\n\t\tcase 0x8dca: // INT_SAMPLER_2D\n\t\tcase 0x8dd2: // UNSIGNED_INT_SAMPLER_2D\n\t\tcase 0x8b62: // SAMPLER_2D_SHADOW\n\t\t\treturn setValueT1;\n\n\t\tcase 0x8b5f: // SAMPLER_3D\n\t\tcase 0x8dcb: // INT_SAMPLER_3D\n\t\tcase 0x8dd3: // UNSIGNED_INT_SAMPLER_3D\n\t\t\treturn setValueT3D1;\n\n\t\tcase 0x8b60: // SAMPLER_CUBE\n\t\tcase 0x8dcc: // INT_SAMPLER_CUBE\n\t\tcase 0x8dd4: // UNSIGNED_INT_SAMPLER_CUBE\n\t\tcase 0x8dc5: // SAMPLER_CUBE_SHADOW\n\t\t\treturn setValueT6;\n\n\t\tcase 0x8dc1: // SAMPLER_2D_ARRAY\n\t\tcase 0x8dcf: // INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dd7: // UNSIGNED_INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dc4: // SAMPLER_2D_ARRAY_SHADOW\n\t\t\treturn setValueT2DArray1;\n\n\t}\n\n}\n\n\n// Array of scalars\n\nfunction setValueV1fArray( gl, v ) {\n\n\tgl.uniform1fv( this.addr, v );\n\n}\n\n// Array of vectors (from flat array or array of THREE.VectorN)\n\nfunction setValueV2fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 2 );\n\n\tgl.uniform2fv( this.addr, data );\n\n}\n\nfunction setValueV3fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 3 );\n\n\tgl.uniform3fv( this.addr, data );\n\n}\n\nfunction setValueV4fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 4 );\n\n\tgl.uniform4fv( this.addr, data );\n\n}\n\n// Array of matrices (from flat array or array of THREE.MatrixN)\n\nfunction setValueM2Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 4 );\n\n\tgl.uniformMatrix2fv( this.addr, false, data );\n\n}\n\nfunction setValueM3Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 9 );\n\n\tgl.uniformMatrix3fv( this.addr, false, data );\n\n}\n\nfunction setValueM4Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 16 );\n\n\tgl.uniformMatrix4fv( this.addr, false, data );\n\n}\n\n// Array of integer / boolean\n\nfunction setValueV1iArray( gl, v ) {\n\n\tgl.uniform1iv( this.addr, v );\n\n}\n\n// Array of integer / boolean vectors (from flat array)\n\nfunction setValueV2iArray( gl, v ) {\n\n\tgl.uniform2iv( this.addr, v );\n\n}\n\nfunction setValueV3iArray( gl, v ) {\n\n\tgl.uniform3iv( this.addr, v );\n\n}\n\nfunction setValueV4iArray( gl, v ) {\n\n\tgl.uniform4iv( this.addr, v );\n\n}\n\n// Array of unsigned integer\n\nfunction setValueV1uiArray( gl, v ) {\n\n\tgl.uniform1uiv( this.addr, v );\n\n}\n\n// Array of unsigned integer vectors (from flat array)\n\nfunction setValueV2uiArray( gl, v ) {\n\n\tgl.uniform2uiv( this.addr, v );\n\n}\n\nfunction setValueV3uiArray( gl, v ) {\n\n\tgl.uniform3uiv( this.addr, v );\n\n}\n\nfunction setValueV4uiArray( gl, v ) {\n\n\tgl.uniform4uiv( this.addr, v );\n\n}\n\n\n// Array of textures (2D / 3D / Cube / 2DArray)\n\nfunction setValueT1Array( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture2D( v[ i ] || emptyTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT3DArray( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture3D( v[ i ] || empty3dTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT6Array( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTextureCube( v[ i ] || emptyCubeTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT2DArrayArray( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture2DArray( v[ i ] || emptyArrayTexture, units[ i ] );\n\n\t}\n\n}\n\n\n// Helper to pick the right setter for a pure (bottom-level) array\n\nfunction getPureArraySetter( type ) {\n\n\tswitch ( type ) {\n\n\t\tcase 0x1406: return setValueV1fArray; // FLOAT\n\t\tcase 0x8b50: return setValueV2fArray; // _VEC2\n\t\tcase 0x8b51: return setValueV3fArray; // _VEC3\n\t\tcase 0x8b52: return setValueV4fArray; // _VEC4\n\n\t\tcase 0x8b5a: return setValueM2Array; // _MAT2\n\t\tcase 0x8b5b: return setValueM3Array; // _MAT3\n\t\tcase 0x8b5c: return setValueM4Array; // _MAT4\n\n\t\tcase 0x1404: case 0x8b56: return setValueV1iArray; // INT, BOOL\n\t\tcase 0x8b53: case 0x8b57: return setValueV2iArray; // _VEC2\n\t\tcase 0x8b54: case 0x8b58: return setValueV3iArray; // _VEC3\n\t\tcase 0x8b55: case 0x8b59: return setValueV4iArray; // _VEC4\n\n\t\tcase 0x1405: return setValueV1uiArray; // UINT\n\t\tcase 0x8dc6: return setValueV2uiArray; // _VEC2\n\t\tcase 0x8dc7: return setValueV3uiArray; // _VEC3\n\t\tcase 0x8dc8: return setValueV4uiArray; // _VEC4\n\n\t\tcase 0x8b5e: // SAMPLER_2D\n\t\tcase 0x8d66: // SAMPLER_EXTERNAL_OES\n\t\tcase 0x8dca: // INT_SAMPLER_2D\n\t\tcase 0x8dd2: // UNSIGNED_INT_SAMPLER_2D\n\t\tcase 0x8b62: // SAMPLER_2D_SHADOW\n\t\t\treturn setValueT1Array;\n\n\t\tcase 0x8b5f: // SAMPLER_3D\n\t\tcase 0x8dcb: // INT_SAMPLER_3D\n\t\tcase 0x8dd3: // UNSIGNED_INT_SAMPLER_3D\n\t\t\treturn setValueT3DArray;\n\n\t\tcase 0x8b60: // SAMPLER_CUBE\n\t\tcase 0x8dcc: // INT_SAMPLER_CUBE\n\t\tcase 0x8dd4: // UNSIGNED_INT_SAMPLER_CUBE\n\t\tcase 0x8dc5: // SAMPLER_CUBE_SHADOW\n\t\t\treturn setValueT6Array;\n\n\t\tcase 0x8dc1: // SAMPLER_2D_ARRAY\n\t\tcase 0x8dcf: // INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dd7: // UNSIGNED_INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dc4: // SAMPLER_2D_ARRAY_SHADOW\n\t\t\treturn setValueT2DArrayArray;\n\n\t}\n\n}\n\n// --- Uniform Classes ---\n\nclass SingleUniform {\n\n\tconstructor( id, activeInfo, addr ) {\n\n\t\tthis.id = id;\n\t\tthis.addr = addr;\n\t\tthis.cache = [];\n\t\tthis.type = activeInfo.type;\n\t\tthis.setValue = getSingularSetter( activeInfo.type );\n\n\t\t// this.path = activeInfo.name; // DEBUG\n\n\t}\n\n}\n\nclass PureArrayUniform {\n\n\tconstructor( id, activeInfo, addr ) {\n\n\t\tthis.id = id;\n\t\tthis.addr = addr;\n\t\tthis.cache = [];\n\t\tthis.type = activeInfo.type;\n\t\tthis.size = activeInfo.size;\n\t\tthis.setValue = getPureArraySetter( activeInfo.type );\n\n\t\t// this.path = activeInfo.name; // DEBUG\n\n\t}\n\n}\n\nclass StructuredUniform {\n\n\tconstructor( id ) {\n\n\t\tthis.id = id;\n\n\t\tthis.seq = [];\n\t\tthis.map = {};\n\n\t}\n\n\tsetValue( gl, value, textures ) {\n\n\t\tconst seq = this.seq;\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ];\n\t\t\tu.setValue( gl, value[ u.id ], textures );\n\n\t\t}\n\n\t}\n\n}\n\n// --- Top-level ---\n\n// Parser - builds up the property tree from the path strings\n\nconst RePathPart = /(\\w+)(\\])?(\\[|\\.)?/g;\n\n// extracts\n// \t- the identifier (member name or array index)\n// - followed by an optional right bracket (found when array index)\n// - followed by an optional left bracket or dot (type of subscript)\n//\n// Note: These portions can be read in a non-overlapping fashion and\n// allow straightforward parsing of the hierarchy that WebGL encodes\n// in the uniform names.\n\nfunction addUniform( container, uniformObject ) {\n\n\tcontainer.seq.push( uniformObject );\n\tcontainer.map[ uniformObject.id ] = uniformObject;\n\n}\n\nfunction parseUniform( activeInfo, addr, container ) {\n\n\tconst path = activeInfo.name,\n\t\tpathLength = path.length;\n\n\t// reset RegExp object, because of the early exit of a previous run\n\tRePathPart.lastIndex = 0;\n\n\twhile ( true ) {\n\n\t\tconst match = RePathPart.exec( path ),\n\t\t\tmatchEnd = RePathPart.lastIndex;\n\n\t\tlet id = match[ 1 ];\n\t\tconst idIsIndex = match[ 2 ] === ']',\n\t\t\tsubscript = match[ 3 ];\n\n\t\tif ( idIsIndex ) id = id | 0; // convert to integer\n\n\t\tif ( subscript === undefined || subscript === '[' && matchEnd + 2 === pathLength ) {\n\n\t\t\t// bare name or \"pure\" bottom-level array \"[0]\" suffix\n\n\t\t\taddUniform( container, subscript === undefined ?\n\t\t\t\tnew SingleUniform( id, activeInfo, addr ) :\n\t\t\t\tnew PureArrayUniform( id, activeInfo, addr ) );\n\n\t\t\tbreak;\n\n\t\t} else {\n\n\t\t\t// step into inner node / create it in case it doesn't exist\n\n\t\t\tconst map = container.map;\n\t\t\tlet next = map[ id ];\n\n\t\t\tif ( next === undefined ) {\n\n\t\t\t\tnext = new StructuredUniform( id );\n\t\t\t\taddUniform( container, next );\n\n\t\t\t}\n\n\t\t\tcontainer = next;\n\n\t\t}\n\n\t}\n\n}\n\n// Root Container\n\nclass WebGLUniforms {\n\n\tconstructor( gl, program ) {\n\n\t\tthis.seq = [];\n\t\tthis.map = {};\n\n\t\tconst n = gl.getProgramParameter( program, gl.ACTIVE_UNIFORMS );\n\n\t\tfor ( let i = 0; i < n; ++ i ) {\n\n\t\t\tconst info = gl.getActiveUniform( program, i ),\n\t\t\t\taddr = gl.getUniformLocation( program, info.name );\n\n\t\t\tparseUniform( info, addr, this );\n\n\t\t}\n\n\t}\n\n\tsetValue( gl, name, value, textures ) {\n\n\t\tconst u = this.map[ name ];\n\n\t\tif ( u !== undefined ) u.setValue( gl, value, textures );\n\n\t}\n\n\tsetOptional( gl, object, name ) {\n\n\t\tconst v = object[ name ];\n\n\t\tif ( v !== undefined ) this.setValue( gl, name, v );\n\n\t}\n\n\tstatic upload( gl, seq, values, textures ) {\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ],\n\t\t\t\tv = values[ u.id ];\n\n\t\t\tif ( v.needsUpdate !== false ) {\n\n\t\t\t\t// note: always updating when .needsUpdate is undefined\n\t\t\t\tu.setValue( gl, v.value, textures );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tstatic seqWithValue( seq, values ) {\n\n\t\tconst r = [];\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ];\n\t\t\tif ( u.id in values ) r.push( u );\n\n\t\t}\n\n\t\treturn r;\n\n\t}\n\n}\n\nfunction WebGLShader( gl, type, string ) {\n\n\tconst shader = gl.createShader( type );\n\n\tgl.shaderSource( shader, string );\n\tgl.compileShader( shader );\n\n\treturn shader;\n\n}\n\n// From https://www.khronos.org/registry/webgl/extensions/KHR_parallel_shader_compile/\nconst COMPLETION_STATUS_KHR = 0x91B1;\n\nlet programIdCount = 0;\n\nfunction handleSource( string, errorLine ) {\n\n\tconst lines = string.split( '\\n' );\n\tconst lines2 = [];\n\n\tconst from = Math.max( errorLine - 6, 0 );\n\tconst to = Math.min( errorLine + 6, lines.length );\n\n\tfor ( let i = from; i < to; i ++ ) {\n\n\t\tconst line = i + 1;\n\t\tlines2.push( `${line === errorLine ? '>' : ' '} ${line}: ${lines[ i ]}` );\n\n\t}\n\n\treturn lines2.join( '\\n' );\n\n}\n\nfunction getEncodingComponents( colorSpace ) {\n\n\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\tconst encodingPrimaries = ColorManagement.getPrimaries( colorSpace );\n\n\tlet gamutMapping;\n\n\tif ( workingPrimaries === encodingPrimaries ) {\n\n\t\tgamutMapping = '';\n\n\t} else if ( workingPrimaries === P3Primaries && encodingPrimaries === Rec709Primaries ) {\n\n\t\tgamutMapping = 'LinearDisplayP3ToLinearSRGB';\n\n\t} else if ( workingPrimaries === Rec709Primaries && encodingPrimaries === P3Primaries ) {\n\n\t\tgamutMapping = 'LinearSRGBToLinearDisplayP3';\n\n\t}\n\n\tswitch ( colorSpace ) {\n\n\t\tcase LinearSRGBColorSpace:\n\t\tcase LinearDisplayP3ColorSpace:\n\t\t\treturn [ gamutMapping, 'LinearTransferOETF' ];\n\n\t\tcase SRGBColorSpace:\n\t\tcase DisplayP3ColorSpace:\n\t\t\treturn [ gamutMapping, 'sRGBTransferOETF' ];\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.WebGLProgram: Unsupported color space:', colorSpace );\n\t\t\treturn [ gamutMapping, 'LinearTransferOETF' ];\n\n\t}\n\n}\n\nfunction getShaderErrors( gl, shader, type ) {\n\n\tconst status = gl.getShaderParameter( shader, gl.COMPILE_STATUS );\n\tconst errors = gl.getShaderInfoLog( shader ).trim();\n\n\tif ( status && errors === '' ) return '';\n\n\tconst errorMatches = /ERROR: 0:(\\d+)/.exec( errors );\n\tif ( errorMatches ) {\n\n\t\t// --enable-privileged-webgl-extension\n\t\t// console.log( '**' + type + '**', gl.getExtension( 'WEBGL_debug_shaders' ).getTranslatedShaderSource( shader ) );\n\n\t\tconst errorLine = parseInt( errorMatches[ 1 ] );\n\t\treturn type.toUpperCase() + '\\n\\n' + errors + '\\n\\n' + handleSource( gl.getShaderSource( shader ), errorLine );\n\n\t} else {\n\n\t\treturn errors;\n\n\t}\n\n}\n\nfunction getTexelEncodingFunction( functionName, colorSpace ) {\n\n\tconst components = getEncodingComponents( colorSpace );\n\treturn `vec4 ${functionName}( vec4 value ) { return ${components[ 0 ]}( ${components[ 1 ]}( value ) ); }`;\n\n}\n\nfunction getToneMappingFunction( functionName, toneMapping ) {\n\n\tlet toneMappingName;\n\n\tswitch ( toneMapping ) {\n\n\t\tcase LinearToneMapping:\n\t\t\ttoneMappingName = 'Linear';\n\t\t\tbreak;\n\n\t\tcase ReinhardToneMapping:\n\t\t\ttoneMappingName = 'Reinhard';\n\t\t\tbreak;\n\n\t\tcase CineonToneMapping:\n\t\t\ttoneMappingName = 'OptimizedCineon';\n\t\t\tbreak;\n\n\t\tcase ACESFilmicToneMapping:\n\t\t\ttoneMappingName = 'ACESFilmic';\n\t\t\tbreak;\n\n\t\tcase AgXToneMapping:\n\t\t\ttoneMappingName = 'AgX';\n\t\t\tbreak;\n\n\t\tcase CustomToneMapping:\n\t\t\ttoneMappingName = 'Custom';\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.WebGLProgram: Unsupported toneMapping:', toneMapping );\n\t\t\ttoneMappingName = 'Linear';\n\n\t}\n\n\treturn 'vec3 ' + functionName + '( vec3 color ) { return ' + toneMappingName + 'ToneMapping( color ); }';\n\n}\n\nfunction generateExtensions( parameters ) {\n\n\tconst chunks = [\n\t\t( parameters.extensionDerivatives || !! parameters.envMapCubeUVHeight || parameters.bumpMap || parameters.normalMapTangentSpace || parameters.clearcoatNormalMap || parameters.flatShading || parameters.shaderID === 'physical' ) ? '#extension GL_OES_standard_derivatives : enable' : '',\n\t\t( parameters.extensionFragDepth || parameters.logarithmicDepthBuffer ) && parameters.rendererExtensionFragDepth ? '#extension GL_EXT_frag_depth : enable' : '',\n\t\t( parameters.extensionDrawBuffers && parameters.rendererExtensionDrawBuffers ) ? '#extension GL_EXT_draw_buffers : require' : '',\n\t\t( parameters.extensionShaderTextureLOD || parameters.envMap || parameters.transmission ) && parameters.rendererExtensionShaderTextureLod ? '#extension GL_EXT_shader_texture_lod : enable' : ''\n\t];\n\n\treturn chunks.filter( filterEmptyLine ).join( '\\n' );\n\n}\n\nfunction generateVertexExtensions( parameters ) {\n\n\tconst chunks = [\n\t\tparameters.extensionClipCullDistance ? '#extension GL_ANGLE_clip_cull_distance : require' : ''\n\t];\n\n\treturn chunks.filter( filterEmptyLine ).join( '\\n' );\n\n}\n\nfunction generateDefines( defines ) {\n\n\tconst chunks = [];\n\n\tfor ( const name in defines ) {\n\n\t\tconst value = defines[ name ];\n\n\t\tif ( value === false ) continue;\n\n\t\tchunks.push( '#define ' + name + ' ' + value );\n\n\t}\n\n\treturn chunks.join( '\\n' );\n\n}\n\nfunction fetchAttributeLocations( gl, program ) {\n\n\tconst attributes = {};\n\n\tconst n = gl.getProgramParameter( program, gl.ACTIVE_ATTRIBUTES );\n\n\tfor ( let i = 0; i < n; i ++ ) {\n\n\t\tconst info = gl.getActiveAttrib( program, i );\n\t\tconst name = info.name;\n\n\t\tlet locationSize = 1;\n\t\tif ( info.type === gl.FLOAT_MAT2 ) locationSize = 2;\n\t\tif ( info.type === gl.FLOAT_MAT3 ) locationSize = 3;\n\t\tif ( info.type === gl.FLOAT_MAT4 ) locationSize = 4;\n\n\t\t// console.log( 'THREE.WebGLProgram: ACTIVE VERTEX ATTRIBUTE:', name, i );\n\n\t\tattributes[ name ] = {\n\t\t\ttype: info.type,\n\t\t\tlocation: gl.getAttribLocation( program, name ),\n\t\t\tlocationSize: locationSize\n\t\t};\n\n\t}\n\n\treturn attributes;\n\n}\n\nfunction filterEmptyLine( string ) {\n\n\treturn string !== '';\n\n}\n\nfunction replaceLightNums( string, parameters ) {\n\n\tconst numSpotLightCoords = parameters.numSpotLightShadows + parameters.numSpotLightMaps - parameters.numSpotLightShadowsWithMaps;\n\n\treturn string\n\t\t.replace( /NUM_DIR_LIGHTS/g, parameters.numDirLights )\n\t\t.replace( /NUM_SPOT_LIGHTS/g, parameters.numSpotLights )\n\t\t.replace( /NUM_SPOT_LIGHT_MAPS/g, parameters.numSpotLightMaps )\n\t\t.replace( /NUM_SPOT_LIGHT_COORDS/g, numSpotLightCoords )\n\t\t.replace( /NUM_RECT_AREA_LIGHTS/g, parameters.numRectAreaLights )\n\t\t.replace( /NUM_POINT_LIGHTS/g, parameters.numPointLights )\n\t\t.replace( /NUM_HEMI_LIGHTS/g, parameters.numHemiLights )\n\t\t.replace( /NUM_DIR_LIGHT_SHADOWS/g, parameters.numDirLightShadows )\n\t\t.replace( /NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g, parameters.numSpotLightShadowsWithMaps )\n\t\t.replace( /NUM_SPOT_LIGHT_SHADOWS/g, parameters.numSpotLightShadows )\n\t\t.replace( /NUM_POINT_LIGHT_SHADOWS/g, parameters.numPointLightShadows );\n\n}\n\nfunction replaceClippingPlaneNums( string, parameters ) {\n\n\treturn string\n\t\t.replace( /NUM_CLIPPING_PLANES/g, parameters.numClippingPlanes )\n\t\t.replace( /UNION_CLIPPING_PLANES/g, ( parameters.numClippingPlanes - parameters.numClipIntersection ) );\n\n}\n\n// Resolve Includes\n\nconst includePattern = /^[ \\t]*#include +<([\\w\\d./]+)>/gm;\n\nfunction resolveIncludes( string ) {\n\n\treturn string.replace( includePattern, includeReplacer );\n\n}\n\nconst shaderChunkMap = new Map( [\n\t[ 'encodings_fragment', 'colorspace_fragment' ], // @deprecated, r154\n\t[ 'encodings_pars_fragment', 'colorspace_pars_fragment' ], // @deprecated, r154\n\t[ 'output_fragment', 'opaque_fragment' ], // @deprecated, r154\n] );\n\nfunction includeReplacer( match, include ) {\n\n\tlet string = ShaderChunk[ include ];\n\n\tif ( string === undefined ) {\n\n\t\tconst newInclude = shaderChunkMap.get( include );\n\n\t\tif ( newInclude !== undefined ) {\n\n\t\t\tstring = ShaderChunk[ newInclude ];\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Shader chunk \"%s\" has been deprecated. Use \"%s\" instead.', include, newInclude );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'Can not resolve #include <' + include + '>' );\n\n\t\t}\n\n\t}\n\n\treturn resolveIncludes( string );\n\n}\n\n// Unroll Loops\n\nconst unrollLoopPattern = /#pragma unroll_loop_start\\s+for\\s*\\(\\s*int\\s+i\\s*=\\s*(\\d+)\\s*;\\s*i\\s*<\\s*(\\d+)\\s*;\\s*i\\s*\\+\\+\\s*\\)\\s*{([\\s\\S]+?)}\\s+#pragma unroll_loop_end/g;\n\nfunction unrollLoops( string ) {\n\n\treturn string.replace( unrollLoopPattern, loopReplacer );\n\n}\n\nfunction loopReplacer( match, start, end, snippet ) {\n\n\tlet string = '';\n\n\tfor ( let i = parseInt( start ); i < parseInt( end ); i ++ ) {\n\n\t\tstring += snippet\n\t\t\t.replace( /\\[\\s*i\\s*\\]/g, '[ ' + i + ' ]' )\n\t\t\t.replace( /UNROLLED_LOOP_INDEX/g, i );\n\n\t}\n\n\treturn string;\n\n}\n\n//\n\nfunction generatePrecision( parameters ) {\n\n\tlet precisionstring = 'precision ' + parameters.precision + ' float;\\nprecision ' + parameters.precision + ' int;';\n\n\tif ( parameters.precision === 'highp' ) {\n\n\t\tprecisionstring += '\\n#define HIGH_PRECISION';\n\n\t} else if ( parameters.precision === 'mediump' ) {\n\n\t\tprecisionstring += '\\n#define MEDIUM_PRECISION';\n\n\t} else if ( parameters.precision === 'lowp' ) {\n\n\t\tprecisionstring += '\\n#define LOW_PRECISION';\n\n\t}\n\n\treturn precisionstring;\n\n}\n\nfunction generateShadowMapTypeDefine( parameters ) {\n\n\tlet shadowMapTypeDefine = 'SHADOWMAP_TYPE_BASIC';\n\n\tif ( parameters.shadowMapType === PCFShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_PCF';\n\n\t} else if ( parameters.shadowMapType === PCFSoftShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_PCF_SOFT';\n\n\t} else if ( parameters.shadowMapType === VSMShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_VSM';\n\n\t}\n\n\treturn shadowMapTypeDefine;\n\n}\n\nfunction generateEnvMapTypeDefine( parameters ) {\n\n\tlet envMapTypeDefine = 'ENVMAP_TYPE_CUBE';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.envMapMode ) {\n\n\t\t\tcase CubeReflectionMapping:\n\t\t\tcase CubeRefractionMapping:\n\t\t\t\tenvMapTypeDefine = 'ENVMAP_TYPE_CUBE';\n\t\t\t\tbreak;\n\n\t\t\tcase CubeUVReflectionMapping:\n\t\t\t\tenvMapTypeDefine = 'ENVMAP_TYPE_CUBE_UV';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapTypeDefine;\n\n}\n\nfunction generateEnvMapModeDefine( parameters ) {\n\n\tlet envMapModeDefine = 'ENVMAP_MODE_REFLECTION';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.envMapMode ) {\n\n\t\t\tcase CubeRefractionMapping:\n\n\t\t\t\tenvMapModeDefine = 'ENVMAP_MODE_REFRACTION';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapModeDefine;\n\n}\n\nfunction generateEnvMapBlendingDefine( parameters ) {\n\n\tlet envMapBlendingDefine = 'ENVMAP_BLENDING_NONE';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.combine ) {\n\n\t\t\tcase MultiplyOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_MULTIPLY';\n\t\t\t\tbreak;\n\n\t\t\tcase MixOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_MIX';\n\t\t\t\tbreak;\n\n\t\t\tcase AddOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_ADD';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapBlendingDefine;\n\n}\n\nfunction generateCubeUVSize( parameters ) {\n\n\tconst imageHeight = parameters.envMapCubeUVHeight;\n\n\tif ( imageHeight === null ) return null;\n\n\tconst maxMip = Math.log2( imageHeight ) - 2;\n\n\tconst texelHeight = 1.0 / imageHeight;\n\n\tconst texelWidth = 1.0 / ( 3 * Math.max( Math.pow( 2, maxMip ), 7 * 16 ) );\n\n\treturn { texelWidth, texelHeight, maxMip };\n\n}\n\nfunction WebGLProgram( renderer, cacheKey, parameters, bindingStates ) {\n\n\t// TODO Send this event to Three.js DevTools\n\t// console.log( 'WebGLProgram', cacheKey );\n\n\tconst gl = renderer.getContext();\n\n\tconst defines = parameters.defines;\n\n\tlet vertexShader = parameters.vertexShader;\n\tlet fragmentShader = parameters.fragmentShader;\n\n\tconst shadowMapTypeDefine = generateShadowMapTypeDefine( parameters );\n\tconst envMapTypeDefine = generateEnvMapTypeDefine( parameters );\n\tconst envMapModeDefine = generateEnvMapModeDefine( parameters );\n\tconst envMapBlendingDefine = generateEnvMapBlendingDefine( parameters );\n\tconst envMapCubeUVSize = generateCubeUVSize( parameters );\n\n\tconst customExtensions = parameters.isWebGL2 ? '' : generateExtensions( parameters );\n\n\tconst customVertexExtensions = generateVertexExtensions( parameters );\n\n\tconst customDefines = generateDefines( defines );\n\n\tconst program = gl.createProgram();\n\n\tlet prefixVertex, prefixFragment;\n\tlet versionString = parameters.glslVersion ? '#version ' + parameters.glslVersion + '\\n' : '';\n\n\tif ( parameters.isRawShaderMaterial ) {\n\n\t\tprefixVertex = [\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tif ( prefixVertex.length > 0 ) {\n\n\t\t\tprefixVertex += '\\n';\n\n\t\t}\n\n\t\tprefixFragment = [\n\n\t\t\tcustomExtensions,\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tif ( prefixFragment.length > 0 ) {\n\n\t\t\tprefixFragment += '\\n';\n\n\t\t}\n\n\t} else {\n\n\t\tprefixVertex = [\n\n\t\t\tgeneratePrecision( parameters ),\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines,\n\n\t\t\tparameters.extensionClipCullDistance ? '#define USE_CLIP_DISTANCE' : '',\n\t\t\tparameters.batching ? '#define USE_BATCHING' : '',\n\t\t\tparameters.instancing ? '#define USE_INSTANCING' : '',\n\t\t\tparameters.instancingColor ? '#define USE_INSTANCING_COLOR' : '',\n\n\t\t\tparameters.useFog && parameters.fog ? '#define USE_FOG' : '',\n\t\t\tparameters.useFog && parameters.fogExp2 ? '#define FOG_EXP2' : '',\n\n\t\t\tparameters.map ? '#define USE_MAP' : '',\n\t\t\tparameters.envMap ? '#define USE_ENVMAP' : '',\n\t\t\tparameters.envMap ? '#define ' + envMapModeDefine : '',\n\t\t\tparameters.lightMap ? '#define USE_LIGHTMAP' : '',\n\t\t\tparameters.aoMap ? '#define USE_AOMAP' : '',\n\t\t\tparameters.bumpMap ? '#define USE_BUMPMAP' : '',\n\t\t\tparameters.normalMap ? '#define USE_NORMALMAP' : '',\n\t\t\tparameters.normalMapObjectSpace ? '#define USE_NORMALMAP_OBJECTSPACE' : '',\n\t\t\tparameters.normalMapTangentSpace ? '#define USE_NORMALMAP_TANGENTSPACE' : '',\n\t\t\tparameters.displacementMap ? '#define USE_DISPLACEMENTMAP' : '',\n\t\t\tparameters.emissiveMap ? '#define USE_EMISSIVEMAP' : '',\n\n\t\t\tparameters.anisotropy ? '#define USE_ANISOTROPY' : '',\n\t\t\tparameters.anisotropyMap ? '#define USE_ANISOTROPYMAP' : '',\n\n\t\t\tparameters.clearcoatMap ? '#define USE_CLEARCOATMAP' : '',\n\t\t\tparameters.clearcoatRoughnessMap ? '#define USE_CLEARCOAT_ROUGHNESSMAP' : '',\n\t\t\tparameters.clearcoatNormalMap ? '#define USE_CLEARCOAT_NORMALMAP' : '',\n\n\t\t\tparameters.iridescenceMap ? '#define USE_IRIDESCENCEMAP' : '',\n\t\t\tparameters.iridescenceThicknessMap ? '#define USE_IRIDESCENCE_THICKNESSMAP' : '',\n\n\t\t\tparameters.specularMap ? '#define USE_SPECULARMAP' : '',\n\t\t\tparameters.specularColorMap ? '#define USE_SPECULAR_COLORMAP' : '',\n\t\t\tparameters.specularIntensityMap ? '#define USE_SPECULAR_INTENSITYMAP' : '',\n\n\t\t\tparameters.roughnessMap ? '#define USE_ROUGHNESSMAP' : '',\n\t\t\tparameters.metalnessMap ? '#define USE_METALNESSMAP' : '',\n\t\t\tparameters.alphaMap ? '#define USE_ALPHAMAP' : '',\n\t\t\tparameters.alphaHash ? '#define USE_ALPHAHASH' : '',\n\n\t\t\tparameters.transmission ? '#define USE_TRANSMISSION' : '',\n\t\t\tparameters.transmissionMap ? '#define USE_TRANSMISSIONMAP' : '',\n\t\t\tparameters.thicknessMap ? '#define USE_THICKNESSMAP' : '',\n\n\t\t\tparameters.sheenColorMap ? '#define USE_SHEEN_COLORMAP' : '',\n\t\t\tparameters.sheenRoughnessMap ? '#define USE_SHEEN_ROUGHNESSMAP' : '',\n\n\t\t\t//\n\n\t\t\tparameters.mapUv ? '#define MAP_UV ' + parameters.mapUv : '',\n\t\t\tparameters.alphaMapUv ? '#define ALPHAMAP_UV ' + parameters.alphaMapUv : '',\n\t\t\tparameters.lightMapUv ? '#define LIGHTMAP_UV ' + parameters.lightMapUv : '',\n\t\t\tparameters.aoMapUv ? '#define AOMAP_UV ' + parameters.aoMapUv : '',\n\t\t\tparameters.emissiveMapUv ? '#define EMISSIVEMAP_UV ' + parameters.emissiveMapUv : '',\n\t\t\tparameters.bumpMapUv ? '#define BUMPMAP_UV ' + parameters.bumpMapUv : '',\n\t\t\tparameters.normalMapUv ? '#define NORMALMAP_UV ' + parameters.normalMapUv : '',\n\t\t\tparameters.displacementMapUv ? '#define DISPLACEMENTMAP_UV ' + parameters.displacementMapUv : '',\n\n\t\t\tparameters.metalnessMapUv ? '#define METALNESSMAP_UV ' + parameters.metalnessMapUv : '',\n\t\t\tparameters.roughnessMapUv ? '#define ROUGHNESSMAP_UV ' + parameters.roughnessMapUv : '',\n\n\t\t\tparameters.anisotropyMapUv ? '#define ANISOTROPYMAP_UV ' + parameters.anisotropyMapUv : '',\n\n\t\t\tparameters.clearcoatMapUv ? '#define CLEARCOATMAP_UV ' + parameters.clearcoatMapUv : '',\n\t\t\tparameters.clearcoatNormalMapUv ? '#define CLEARCOAT_NORMALMAP_UV ' + parameters.clearcoatNormalMapUv : '',\n\t\t\tparameters.clearcoatRoughnessMapUv ? '#define CLEARCOAT_ROUGHNESSMAP_UV ' + parameters.clearcoatRoughnessMapUv : '',\n\n\t\t\tparameters.iridescenceMapUv ? '#define IRIDESCENCEMAP_UV ' + parameters.iridescenceMapUv : '',\n\t\t\tparameters.iridescenceThicknessMapUv ? '#define IRIDESCENCE_THICKNESSMAP_UV ' + parameters.iridescenceThicknessMapUv : '',\n\n\t\t\tparameters.sheenColorMapUv ? '#define SHEEN_COLORMAP_UV ' + parameters.sheenColorMapUv : '',\n\t\t\tparameters.sheenRoughnessMapUv ? '#define SHEEN_ROUGHNESSMAP_UV ' + parameters.sheenRoughnessMapUv : '',\n\n\t\t\tparameters.specularMapUv ? '#define SPECULARMAP_UV ' + parameters.specularMapUv : '',\n\t\t\tparameters.specularColorMapUv ? '#define SPECULAR_COLORMAP_UV ' + parameters.specularColorMapUv : '',\n\t\t\tparameters.specularIntensityMapUv ? '#define SPECULAR_INTENSITYMAP_UV ' + parameters.specularIntensityMapUv : '',\n\n\t\t\tparameters.transmissionMapUv ? '#define TRANSMISSIONMAP_UV ' + parameters.transmissionMapUv : '',\n\t\t\tparameters.thicknessMapUv ? '#define THICKNESSMAP_UV ' + parameters.thicknessMapUv : '',\n\n\t\t\t//\n\n\t\t\tparameters.vertexTangents && parameters.flatShading === false ? '#define USE_TANGENT' : '',\n\t\t\tparameters.vertexColors ? '#define USE_COLOR' : '',\n\t\t\tparameters.vertexAlphas ? '#define USE_COLOR_ALPHA' : '',\n\t\t\tparameters.vertexUv1s ? '#define USE_UV1' : '',\n\t\t\tparameters.vertexUv2s ? '#define USE_UV2' : '',\n\t\t\tparameters.vertexUv3s ? '#define USE_UV3' : '',\n\n\t\t\tparameters.pointsUvs ? '#define USE_POINTS_UV' : '',\n\n\t\t\tparameters.flatShading ? '#define FLAT_SHADED' : '',\n\n\t\t\tparameters.skinning ? '#define USE_SKINNING' : '',\n\n\t\t\tparameters.morphTargets ? '#define USE_MORPHTARGETS' : '',\n\t\t\tparameters.morphNormals && parameters.flatShading === false ? '#define USE_MORPHNORMALS' : '',\n\t\t\t( parameters.morphColors && parameters.isWebGL2 ) ? '#define USE_MORPHCOLORS' : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_TEXTURE' : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_TEXTURE_STRIDE ' + parameters.morphTextureStride : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_COUNT ' + parameters.morphTargetsCount : '',\n\t\t\tparameters.doubleSided ? '#define DOUBLE_SIDED' : '',\n\t\t\tparameters.flipSided ? '#define FLIP_SIDED' : '',\n\n\t\t\tparameters.shadowMapEnabled ? '#define USE_SHADOWMAP' : '',\n\t\t\tparameters.shadowMapEnabled ? '#define ' + shadowMapTypeDefine : '',\n\n\t\t\tparameters.sizeAttenuation ? '#define USE_SIZEATTENUATION' : '',\n\n\t\t\tparameters.numLightProbes > 0 ? '#define USE_LIGHT_PROBES' : '',\n\n\t\t\tparameters.useLegacyLights ? '#define LEGACY_LIGHTS' : '',\n\n\t\t\tparameters.logarithmicDepthBuffer ? '#define USE_LOGDEPTHBUF' : '',\n\t\t\t( parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ) ? '#define USE_LOGDEPTHBUF_EXT' : '',\n\n\t\t\t'uniform mat4 modelMatrix;',\n\t\t\t'uniform mat4 modelViewMatrix;',\n\t\t\t'uniform mat4 projectionMatrix;',\n\t\t\t'uniform mat4 viewMatrix;',\n\t\t\t'uniform mat3 normalMatrix;',\n\t\t\t'uniform vec3 cameraPosition;',\n\t\t\t'uniform bool isOrthographic;',\n\n\t\t\t'#ifdef USE_INSTANCING',\n\n\t\t\t'\tattribute mat4 instanceMatrix;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_INSTANCING_COLOR',\n\n\t\t\t'\tattribute vec3 instanceColor;',\n\n\t\t\t'#endif',\n\n\t\t\t'attribute vec3 position;',\n\t\t\t'attribute vec3 normal;',\n\t\t\t'attribute vec2 uv;',\n\n\t\t\t'#ifdef USE_UV1',\n\n\t\t\t'\tattribute vec2 uv1;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_UV2',\n\n\t\t\t'\tattribute vec2 uv2;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_UV3',\n\n\t\t\t'\tattribute vec2 uv3;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_TANGENT',\n\n\t\t\t'\tattribute vec4 tangent;',\n\n\t\t\t'#endif',\n\n\t\t\t'#if defined( USE_COLOR_ALPHA )',\n\n\t\t\t'\tattribute vec4 color;',\n\n\t\t\t'#elif defined( USE_COLOR )',\n\n\t\t\t'\tattribute vec3 color;',\n\n\t\t\t'#endif',\n\n\t\t\t'#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )',\n\n\t\t\t'\tattribute vec3 morphTarget0;',\n\t\t\t'\tattribute vec3 morphTarget1;',\n\t\t\t'\tattribute vec3 morphTarget2;',\n\t\t\t'\tattribute vec3 morphTarget3;',\n\n\t\t\t'\t#ifdef USE_MORPHNORMALS',\n\n\t\t\t'\t\tattribute vec3 morphNormal0;',\n\t\t\t'\t\tattribute vec3 morphNormal1;',\n\t\t\t'\t\tattribute vec3 morphNormal2;',\n\t\t\t'\t\tattribute vec3 morphNormal3;',\n\n\t\t\t'\t#else',\n\n\t\t\t'\t\tattribute vec3 morphTarget4;',\n\t\t\t'\t\tattribute vec3 morphTarget5;',\n\t\t\t'\t\tattribute vec3 morphTarget6;',\n\t\t\t'\t\tattribute vec3 morphTarget7;',\n\n\t\t\t'\t#endif',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_SKINNING',\n\n\t\t\t'\tattribute vec4 skinIndex;',\n\t\t\t'\tattribute vec4 skinWeight;',\n\n\t\t\t'#endif',\n\n\t\t\t'\\n'\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tprefixFragment = [\n\n\t\t\tcustomExtensions,\n\n\t\t\tgeneratePrecision( parameters ),\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines,\n\n\t\t\tparameters.useFog && parameters.fog ? '#define USE_FOG' : '',\n\t\t\tparameters.useFog && parameters.fogExp2 ? '#define FOG_EXP2' : '',\n\n\t\t\tparameters.map ? '#define USE_MAP' : '',\n\t\t\tparameters.matcap ? '#define USE_MATCAP' : '',\n\t\t\tparameters.envMap ? '#define USE_ENVMAP' : '',\n\t\t\tparameters.envMap ? '#define ' + envMapTypeDefine : '',\n\t\t\tparameters.envMap ? '#define ' + envMapModeDefine : '',\n\t\t\tparameters.envMap ? '#define ' + envMapBlendingDefine : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_TEXEL_WIDTH ' + envMapCubeUVSize.texelWidth : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_TEXEL_HEIGHT ' + envMapCubeUVSize.texelHeight : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_MAX_MIP ' + envMapCubeUVSize.maxMip + '.0' : '',\n\t\t\tparameters.lightMap ? '#define USE_LIGHTMAP' : '',\n\t\t\tparameters.aoMap ? '#define USE_AOMAP' : '',\n\t\t\tparameters.bumpMap ? '#define USE_BUMPMAP' : '',\n\t\t\tparameters.normalMap ? '#define USE_NORMALMAP' : '',\n\t\t\tparameters.normalMapObjectSpace ? '#define USE_NORMALMAP_OBJECTSPACE' : '',\n\t\t\tparameters.normalMapTangentSpace ? '#define USE_NORMALMAP_TANGENTSPACE' : '',\n\t\t\tparameters.emissiveMap ? '#define USE_EMISSIVEMAP' : '',\n\n\t\t\tparameters.anisotropy ? '#define USE_ANISOTROPY' : '',\n\t\t\tparameters.anisotropyMap ? '#define USE_ANISOTROPYMAP' : '',\n\n\t\t\tparameters.clearcoat ? '#define USE_CLEARCOAT' : '',\n\t\t\tparameters.clearcoatMap ? '#define USE_CLEARCOATMAP' : '',\n\t\t\tparameters.clearcoatRoughnessMap ? '#define USE_CLEARCOAT_ROUGHNESSMAP' : '',\n\t\t\tparameters.clearcoatNormalMap ? '#define USE_CLEARCOAT_NORMALMAP' : '',\n\n\t\t\tparameters.iridescence ? '#define USE_IRIDESCENCE' : '',\n\t\t\tparameters.iridescenceMap ? '#define USE_IRIDESCENCEMAP' : '',\n\t\t\tparameters.iridescenceThicknessMap ? '#define USE_IRIDESCENCE_THICKNESSMAP' : '',\n\n\t\t\tparameters.specularMap ? '#define USE_SPECULARMAP' : '',\n\t\t\tparameters.specularColorMap ? '#define USE_SPECULAR_COLORMAP' : '',\n\t\t\tparameters.specularIntensityMap ? '#define USE_SPECULAR_INTENSITYMAP' : '',\n\n\t\t\tparameters.roughnessMap ? '#define USE_ROUGHNESSMAP' : '',\n\t\t\tparameters.metalnessMap ? '#define USE_METALNESSMAP' : '',\n\n\t\t\tparameters.alphaMap ? '#define USE_ALPHAMAP' : '',\n\t\t\tparameters.alphaTest ? '#define USE_ALPHATEST' : '',\n\t\t\tparameters.alphaHash ? '#define USE_ALPHAHASH' : '',\n\n\t\t\tparameters.sheen ? '#define USE_SHEEN' : '',\n\t\t\tparameters.sheenColorMap ? '#define USE_SHEEN_COLORMAP' : '',\n\t\t\tparameters.sheenRoughnessMap ? '#define USE_SHEEN_ROUGHNESSMAP' : '',\n\n\t\t\tparameters.transmission ? '#define USE_TRANSMISSION' : '',\n\t\t\tparameters.transmissionMap ? '#define USE_TRANSMISSIONMAP' : '',\n\t\t\tparameters.thicknessMap ? '#define USE_THICKNESSMAP' : '',\n\n\t\t\tparameters.vertexTangents && parameters.flatShading === false ? '#define USE_TANGENT' : '',\n\t\t\tparameters.vertexColors || parameters.instancingColor ? '#define USE_COLOR' : '',\n\t\t\tparameters.vertexAlphas ? '#define USE_COLOR_ALPHA' : '',\n\t\t\tparameters.vertexUv1s ? '#define USE_UV1' : '',\n\t\t\tparameters.vertexUv2s ? '#define USE_UV2' : '',\n\t\t\tparameters.vertexUv3s ? '#define USE_UV3' : '',\n\n\t\t\tparameters.pointsUvs ? '#define USE_POINTS_UV' : '',\n\n\t\t\tparameters.gradientMap ? '#define USE_GRADIENTMAP' : '',\n\n\t\t\tparameters.flatShading ? '#define FLAT_SHADED' : '',\n\n\t\t\tparameters.doubleSided ? '#define DOUBLE_SIDED' : '',\n\t\t\tparameters.flipSided ? '#define FLIP_SIDED' : '',\n\n\t\t\tparameters.shadowMapEnabled ? '#define USE_SHADOWMAP' : '',\n\t\t\tparameters.shadowMapEnabled ? '#define ' + shadowMapTypeDefine : '',\n\n\t\t\tparameters.premultipliedAlpha ? '#define PREMULTIPLIED_ALPHA' : '',\n\n\t\t\tparameters.numLightProbes > 0 ? '#define USE_LIGHT_PROBES' : '',\n\n\t\t\tparameters.useLegacyLights ? '#define LEGACY_LIGHTS' : '',\n\n\t\t\tparameters.decodeVideoTexture ? '#define DECODE_VIDEO_TEXTURE' : '',\n\n\t\t\tparameters.logarithmicDepthBuffer ? '#define USE_LOGDEPTHBUF' : '',\n\t\t\t( parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ) ? '#define USE_LOGDEPTHBUF_EXT' : '',\n\n\t\t\t'uniform mat4 viewMatrix;',\n\t\t\t'uniform vec3 cameraPosition;',\n\t\t\t'uniform bool isOrthographic;',\n\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? '#define TONE_MAPPING' : '',\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? ShaderChunk[ 'tonemapping_pars_fragment' ] : '', // this code is required here because it is used by the toneMapping() function defined below\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? getToneMappingFunction( 'toneMapping', parameters.toneMapping ) : '',\n\n\t\t\tparameters.dithering ? '#define DITHERING' : '',\n\t\t\tparameters.opaque ? '#define OPAQUE' : '',\n\n\t\t\tShaderChunk[ 'colorspace_pars_fragment' ], // this code is required here because it is used by the various encoding/decoding function defined below\n\t\t\tgetTexelEncodingFunction( 'linearToOutputTexel', parameters.outputColorSpace ),\n\n\t\t\tparameters.useDepthPacking ? '#define DEPTH_PACKING ' + parameters.depthPacking : '',\n\n\t\t\t'\\n'\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t}\n\n\tvertexShader = resolveIncludes( vertexShader );\n\tvertexShader = replaceLightNums( vertexShader, parameters );\n\tvertexShader = replaceClippingPlaneNums( vertexShader, parameters );\n\n\tfragmentShader = resolveIncludes( fragmentShader );\n\tfragmentShader = replaceLightNums( fragmentShader, parameters );\n\tfragmentShader = replaceClippingPlaneNums( fragmentShader, parameters );\n\n\tvertexShader = unrollLoops( vertexShader );\n\tfragmentShader = unrollLoops( fragmentShader );\n\n\tif ( parameters.isWebGL2 && parameters.isRawShaderMaterial !== true ) {\n\n\t\t// GLSL 3.0 conversion for built-in materials and ShaderMaterial\n\n\t\tversionString = '#version 300 es\\n';\n\n\t\tprefixVertex = [\n\t\t\tcustomVertexExtensions,\n\t\t\t'precision mediump sampler2DArray;',\n\t\t\t'#define attribute in',\n\t\t\t'#define varying out',\n\t\t\t'#define texture2D texture'\n\t\t].join( '\\n' ) + '\\n' + prefixVertex;\n\n\t\tprefixFragment = [\n\t\t\t'precision mediump sampler2DArray;',\n\t\t\t'#define varying in',\n\t\t\t( parameters.glslVersion === GLSL3 ) ? '' : 'layout(location = 0) out highp vec4 pc_fragColor;',\n\t\t\t( parameters.glslVersion === GLSL3 ) ? '' : '#define gl_FragColor pc_fragColor',\n\t\t\t'#define gl_FragDepthEXT gl_FragDepth',\n\t\t\t'#define texture2D texture',\n\t\t\t'#define textureCube texture',\n\t\t\t'#define texture2DProj textureProj',\n\t\t\t'#define texture2DLodEXT textureLod',\n\t\t\t'#define texture2DProjLodEXT textureProjLod',\n\t\t\t'#define textureCubeLodEXT textureLod',\n\t\t\t'#define texture2DGradEXT textureGrad',\n\t\t\t'#define texture2DProjGradEXT textureProjGrad',\n\t\t\t'#define textureCubeGradEXT textureGrad'\n\t\t].join( '\\n' ) + '\\n' + prefixFragment;\n\n\t}\n\n\tconst vertexGlsl = versionString + prefixVertex + vertexShader;\n\tconst fragmentGlsl = versionString + prefixFragment + fragmentShader;\n\n\t// console.log( '*VERTEX*', vertexGlsl );\n\t// console.log( '*FRAGMENT*', fragmentGlsl );\n\n\tconst glVertexShader = WebGLShader( gl, gl.VERTEX_SHADER, vertexGlsl );\n\tconst glFragmentShader = WebGLShader( gl, gl.FRAGMENT_SHADER, fragmentGlsl );\n\n\tgl.attachShader( program, glVertexShader );\n\tgl.attachShader( program, glFragmentShader );\n\n\t// Force a particular attribute to index 0.\n\n\tif ( parameters.index0AttributeName !== undefined ) {\n\n\t\tgl.bindAttribLocation( program, 0, parameters.index0AttributeName );\n\n\t} else if ( parameters.morphTargets === true ) {\n\n\t\t// programs with morphTargets displace position out of attribute 0\n\t\tgl.bindAttribLocation( program, 0, 'position' );\n\n\t}\n\n\tgl.linkProgram( program );\n\n\tfunction onFirstUse( self ) {\n\n\t\t// check for link errors\n\t\tif ( renderer.debug.checkShaderErrors ) {\n\n\t\t\tconst programLog = gl.getProgramInfoLog( program ).trim();\n\t\t\tconst vertexLog = gl.getShaderInfoLog( glVertexShader ).trim();\n\t\t\tconst fragmentLog = gl.getShaderInfoLog( glFragmentShader ).trim();\n\n\t\t\tlet runnable = true;\n\t\t\tlet haveDiagnostics = true;\n\n\t\t\tif ( gl.getProgramParameter( program, gl.LINK_STATUS ) === false ) {\n\n\t\t\t\trunnable = false;\n\n\t\t\t\tif ( typeof renderer.debug.onShaderError === 'function' ) {\n\n\t\t\t\t\trenderer.debug.onShaderError( gl, program, glVertexShader, glFragmentShader );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// default error reporting\n\n\t\t\t\t\tconst vertexErrors = getShaderErrors( gl, glVertexShader, 'vertex' );\n\t\t\t\t\tconst fragmentErrors = getShaderErrors( gl, glFragmentShader, 'fragment' );\n\n\t\t\t\t\tconsole.error(\n\t\t\t\t\t\t'THREE.WebGLProgram: Shader Error ' + gl.getError() + ' - ' +\n\t\t\t\t\t\t'VALIDATE_STATUS ' + gl.getProgramParameter( program, gl.VALIDATE_STATUS ) + '\\n\\n' +\n\t\t\t\t\t\t'Program Info Log: ' + programLog + '\\n' +\n\t\t\t\t\t\tvertexErrors + '\\n' +\n\t\t\t\t\t\tfragmentErrors\n\t\t\t\t\t);\n\n\t\t\t\t}\n\n\t\t\t} else if ( programLog !== '' ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLProgram: Program Info Log:', programLog );\n\n\t\t\t} else if ( vertexLog === '' || fragmentLog === '' ) {\n\n\t\t\t\thaveDiagnostics = false;\n\n\t\t\t}\n\n\t\t\tif ( haveDiagnostics ) {\n\n\t\t\t\tself.diagnostics = {\n\n\t\t\t\t\trunnable: runnable,\n\n\t\t\t\t\tprogramLog: programLog,\n\n\t\t\t\t\tvertexShader: {\n\n\t\t\t\t\t\tlog: vertexLog,\n\t\t\t\t\t\tprefix: prefixVertex\n\n\t\t\t\t\t},\n\n\t\t\t\t\tfragmentShader: {\n\n\t\t\t\t\t\tlog: fragmentLog,\n\t\t\t\t\t\tprefix: prefixFragment\n\n\t\t\t\t\t}\n\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Clean up\n\n\t\t// Crashes in iOS9 and iOS10. #18402\n\t\t// gl.detachShader( program, glVertexShader );\n\t\t// gl.detachShader( program, glFragmentShader );\n\n\t\tgl.deleteShader( glVertexShader );\n\t\tgl.deleteShader( glFragmentShader );\n\n\t\tcachedUniforms = new WebGLUniforms( gl, program );\n\t\tcachedAttributes = fetchAttributeLocations( gl, program );\n\n\t}\n\n\t// set up caching for uniform locations\n\n\tlet cachedUniforms;\n\n\tthis.getUniforms = function () {\n\n\t\tif ( cachedUniforms === undefined ) {\n\n\t\t\t// Populates cachedUniforms and cachedAttributes\n\t\t\tonFirstUse( this );\n\n\t\t}\n\n\t\treturn cachedUniforms;\n\n\t};\n\n\t// set up caching for attribute locations\n\n\tlet cachedAttributes;\n\n\tthis.getAttributes = function () {\n\n\t\tif ( cachedAttributes === undefined ) {\n\n\t\t\t// Populates cachedAttributes and cachedUniforms\n\t\t\tonFirstUse( this );\n\n\t\t}\n\n\t\treturn cachedAttributes;\n\n\t};\n\n\t// indicate when the program is ready to be used. if the KHR_parallel_shader_compile extension isn't supported,\n\t// flag the program as ready immediately. It may cause a stall when it's first used.\n\n\tlet programReady = ( parameters.rendererExtensionParallelShaderCompile === false );\n\n\tthis.isReady = function () {\n\n\t\tif ( programReady === false ) {\n\n\t\t\tprogramReady = gl.getProgramParameter( program, COMPLETION_STATUS_KHR );\n\n\t\t}\n\n\t\treturn programReady;\n\n\t};\n\n\t// free resource\n\n\tthis.destroy = function () {\n\n\t\tbindingStates.releaseStatesOfProgram( this );\n\n\t\tgl.deleteProgram( program );\n\t\tthis.program = undefined;\n\n\t};\n\n\t//\n\n\tthis.type = parameters.shaderType;\n\tthis.name = parameters.shaderName;\n\tthis.id = programIdCount ++;\n\tthis.cacheKey = cacheKey;\n\tthis.usedTimes = 1;\n\tthis.program = program;\n\tthis.vertexShader = glVertexShader;\n\tthis.fragmentShader = glFragmentShader;\n\n\treturn this;\n\n}\n\nlet _id$1 = 0;\n\nclass WebGLShaderCache {\n\n\tconstructor() {\n\n\t\tthis.shaderCache = new Map();\n\t\tthis.materialCache = new Map();\n\n\t}\n\n\tupdate( material ) {\n\n\t\tconst vertexShader = material.vertexShader;\n\t\tconst fragmentShader = material.fragmentShader;\n\n\t\tconst vertexShaderStage = this._getShaderStage( vertexShader );\n\t\tconst fragmentShaderStage = this._getShaderStage( fragmentShader );\n\n\t\tconst materialShaders = this._getShaderCacheForMaterial( material );\n\n\t\tif ( materialShaders.has( vertexShaderStage ) === false ) {\n\n\t\t\tmaterialShaders.add( vertexShaderStage );\n\t\t\tvertexShaderStage.usedTimes ++;\n\n\t\t}\n\n\t\tif ( materialShaders.has( fragmentShaderStage ) === false ) {\n\n\t\t\tmaterialShaders.add( fragmentShaderStage );\n\t\t\tfragmentShaderStage.usedTimes ++;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremove( material ) {\n\n\t\tconst materialShaders = this.materialCache.get( material );\n\n\t\tfor ( const shaderStage of materialShaders ) {\n\n\t\t\tshaderStage.usedTimes --;\n\n\t\t\tif ( shaderStage.usedTimes === 0 ) this.shaderCache.delete( shaderStage.code );\n\n\t\t}\n\n\t\tthis.materialCache.delete( material );\n\n\t\treturn this;\n\n\t}\n\n\tgetVertexShaderID( material ) {\n\n\t\treturn this._getShaderStage( material.vertexShader ).id;\n\n\t}\n\n\tgetFragmentShaderID( material ) {\n\n\t\treturn this._getShaderStage( material.fragmentShader ).id;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shaderCache.clear();\n\t\tthis.materialCache.clear();\n\n\t}\n\n\t_getShaderCacheForMaterial( material ) {\n\n\t\tconst cache = this.materialCache;\n\t\tlet set = cache.get( material );\n\n\t\tif ( set === undefined ) {\n\n\t\t\tset = new Set();\n\t\t\tcache.set( material, set );\n\n\t\t}\n\n\t\treturn set;\n\n\t}\n\n\t_getShaderStage( code ) {\n\n\t\tconst cache = this.shaderCache;\n\t\tlet stage = cache.get( code );\n\n\t\tif ( stage === undefined ) {\n\n\t\t\tstage = new WebGLShaderStage( code );\n\t\t\tcache.set( code, stage );\n\n\t\t}\n\n\t\treturn stage;\n\n\t}\n\n}\n\nclass WebGLShaderStage {\n\n\tconstructor( code ) {\n\n\t\tthis.id = _id$1 ++;\n\n\t\tthis.code = code;\n\t\tthis.usedTimes = 0;\n\n\t}\n\n}\n\nfunction WebGLPrograms( renderer, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping ) {\n\n\tconst _programLayers = new Layers();\n\tconst _customShaders = new WebGLShaderCache();\n\tconst programs = [];\n\n\tconst IS_WEBGL2 = capabilities.isWebGL2;\n\tconst logarithmicDepthBuffer = capabilities.logarithmicDepthBuffer;\n\tconst SUPPORTS_VERTEX_TEXTURES = capabilities.vertexTextures;\n\n\tlet precision = capabilities.precision;\n\n\tconst shaderIDs = {\n\t\tMeshDepthMaterial: 'depth',\n\t\tMeshDistanceMaterial: 'distanceRGBA',\n\t\tMeshNormalMaterial: 'normal',\n\t\tMeshBasicMaterial: 'basic',\n\t\tMeshLambertMaterial: 'lambert',\n\t\tMeshPhongMaterial: 'phong',\n\t\tMeshToonMaterial: 'toon',\n\t\tMeshStandardMaterial: 'physical',\n\t\tMeshPhysicalMaterial: 'physical',\n\t\tMeshMatcapMaterial: 'matcap',\n\t\tLineBasicMaterial: 'basic',\n\t\tLineDashedMaterial: 'dashed',\n\t\tPointsMaterial: 'points',\n\t\tShadowMaterial: 'shadow',\n\t\tSpriteMaterial: 'sprite'\n\t};\n\n\tfunction getChannel( value ) {\n\n\t\tif ( value === 0 ) return 'uv';\n\n\t\treturn `uv${ value }`;\n\n\t}\n\n\tfunction getParameters( material, lights, shadows, scene, object ) {\n\n\t\tconst fog = scene.fog;\n\t\tconst geometry = object.geometry;\n\t\tconst environment = material.isMeshStandardMaterial ? scene.environment : null;\n\n\t\tconst envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || environment );\n\t\tconst envMapCubeUVHeight = ( !! envMap ) && ( envMap.mapping === CubeUVReflectionMapping ) ? envMap.image.height : null;\n\n\t\tconst shaderID = shaderIDs[ material.type ];\n\n\t\t// heuristics to create shader parameters according to lights in the scene\n\t\t// (not to blow over maxLights budget)\n\n\t\tif ( material.precision !== null ) {\n\n\t\t\tprecision = capabilities.getMaxPrecision( material.precision );\n\n\t\t\tif ( precision !== material.precision ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLProgram.getParameters:', material.precision, 'not supported, using', precision, 'instead.' );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\tlet morphTextureStride = 0;\n\n\t\tif ( geometry.morphAttributes.position !== undefined ) morphTextureStride = 1;\n\t\tif ( geometry.morphAttributes.normal !== undefined ) morphTextureStride = 2;\n\t\tif ( geometry.morphAttributes.color !== undefined ) morphTextureStride = 3;\n\n\t\t//\n\n\t\tlet vertexShader, fragmentShader;\n\t\tlet customVertexShaderID, customFragmentShaderID;\n\n\t\tif ( shaderID ) {\n\n\t\t\tconst shader = ShaderLib[ shaderID ];\n\n\t\t\tvertexShader = shader.vertexShader;\n\t\t\tfragmentShader = shader.fragmentShader;\n\n\t\t} else {\n\n\t\t\tvertexShader = material.vertexShader;\n\t\t\tfragmentShader = material.fragmentShader;\n\n\t\t\t_customShaders.update( material );\n\n\t\t\tcustomVertexShaderID = _customShaders.getVertexShaderID( material );\n\t\t\tcustomFragmentShaderID = _customShaders.getFragmentShaderID( material );\n\n\t\t}\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\n\t\tconst IS_INSTANCEDMESH = object.isInstancedMesh === true;\n\t\tconst IS_BATCHEDMESH = object.isBatchedMesh === true;\n\n\t\tconst HAS_MAP = !! material.map;\n\t\tconst HAS_MATCAP = !! material.matcap;\n\t\tconst HAS_ENVMAP = !! envMap;\n\t\tconst HAS_AOMAP = !! material.aoMap;\n\t\tconst HAS_LIGHTMAP = !! material.lightMap;\n\t\tconst HAS_BUMPMAP = !! material.bumpMap;\n\t\tconst HAS_NORMALMAP = !! material.normalMap;\n\t\tconst HAS_DISPLACEMENTMAP = !! material.displacementMap;\n\t\tconst HAS_EMISSIVEMAP = !! material.emissiveMap;\n\n\t\tconst HAS_METALNESSMAP = !! material.metalnessMap;\n\t\tconst HAS_ROUGHNESSMAP = !! material.roughnessMap;\n\n\t\tconst HAS_ANISOTROPY = material.anisotropy > 0;\n\t\tconst HAS_CLEARCOAT = material.clearcoat > 0;\n\t\tconst HAS_IRIDESCENCE = material.iridescence > 0;\n\t\tconst HAS_SHEEN = material.sheen > 0;\n\t\tconst HAS_TRANSMISSION = material.transmission > 0;\n\n\t\tconst HAS_ANISOTROPYMAP = HAS_ANISOTROPY && !! material.anisotropyMap;\n\n\t\tconst HAS_CLEARCOATMAP = HAS_CLEARCOAT && !! material.clearcoatMap;\n\t\tconst HAS_CLEARCOAT_NORMALMAP = HAS_CLEARCOAT && !! material.clearcoatNormalMap;\n\t\tconst HAS_CLEARCOAT_ROUGHNESSMAP = HAS_CLEARCOAT && !! material.clearcoatRoughnessMap;\n\n\t\tconst HAS_IRIDESCENCEMAP = HAS_IRIDESCENCE && !! material.iridescenceMap;\n\t\tconst HAS_IRIDESCENCE_THICKNESSMAP = HAS_IRIDESCENCE && !! material.iridescenceThicknessMap;\n\n\t\tconst HAS_SHEEN_COLORMAP = HAS_SHEEN && !! material.sheenColorMap;\n\t\tconst HAS_SHEEN_ROUGHNESSMAP = HAS_SHEEN && !! material.sheenRoughnessMap;\n\n\t\tconst HAS_SPECULARMAP = !! material.specularMap;\n\t\tconst HAS_SPECULAR_COLORMAP = !! material.specularColorMap;\n\t\tconst HAS_SPECULAR_INTENSITYMAP = !! material.specularIntensityMap;\n\n\t\tconst HAS_TRANSMISSIONMAP = HAS_TRANSMISSION && !! material.transmissionMap;\n\t\tconst HAS_THICKNESSMAP = HAS_TRANSMISSION && !! material.thicknessMap;\n\n\t\tconst HAS_GRADIENTMAP = !! material.gradientMap;\n\n\t\tconst HAS_ALPHAMAP = !! material.alphaMap;\n\n\t\tconst HAS_ALPHATEST = material.alphaTest > 0;\n\n\t\tconst HAS_ALPHAHASH = !! material.alphaHash;\n\n\t\tconst HAS_EXTENSIONS = !! material.extensions;\n\n\t\tconst HAS_ATTRIBUTE_UV1 = !! geometry.attributes.uv1;\n\t\tconst HAS_ATTRIBUTE_UV2 = !! geometry.attributes.uv2;\n\t\tconst HAS_ATTRIBUTE_UV3 = !! geometry.attributes.uv3;\n\n\t\tlet toneMapping = NoToneMapping;\n\n\t\tif ( material.toneMapped ) {\n\n\t\t\tif ( currentRenderTarget === null || currentRenderTarget.isXRRenderTarget === true ) {\n\n\t\t\t\ttoneMapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst parameters = {\n\n\t\t\tisWebGL2: IS_WEBGL2,\n\n\t\t\tshaderID: shaderID,\n\t\t\tshaderType: material.type,\n\t\t\tshaderName: material.name,\n\n\t\t\tvertexShader: vertexShader,\n\t\t\tfragmentShader: fragmentShader,\n\t\t\tdefines: material.defines,\n\n\t\t\tcustomVertexShaderID: customVertexShaderID,\n\t\t\tcustomFragmentShaderID: customFragmentShaderID,\n\n\t\t\tisRawShaderMaterial: material.isRawShaderMaterial === true,\n\t\t\tglslVersion: material.glslVersion,\n\n\t\t\tprecision: precision,\n\n\t\t\tbatching: IS_BATCHEDMESH,\n\t\t\tinstancing: IS_INSTANCEDMESH,\n\t\t\tinstancingColor: IS_INSTANCEDMESH && object.instanceColor !== null,\n\n\t\t\tsupportsVertexTextures: SUPPORTS_VERTEX_TEXTURES,\n\t\t\toutputColorSpace: ( currentRenderTarget === null ) ? renderer.outputColorSpace : ( currentRenderTarget.isXRRenderTarget === true ? currentRenderTarget.texture.colorSpace : LinearSRGBColorSpace ),\n\n\t\t\tmap: HAS_MAP,\n\t\t\tmatcap: HAS_MATCAP,\n\t\t\tenvMap: HAS_ENVMAP,\n\t\t\tenvMapMode: HAS_ENVMAP && envMap.mapping,\n\t\t\tenvMapCubeUVHeight: envMapCubeUVHeight,\n\t\t\taoMap: HAS_AOMAP,\n\t\t\tlightMap: HAS_LIGHTMAP,\n\t\t\tbumpMap: HAS_BUMPMAP,\n\t\t\tnormalMap: HAS_NORMALMAP,\n\t\t\tdisplacementMap: SUPPORTS_VERTEX_TEXTURES && HAS_DISPLACEMENTMAP,\n\t\t\temissiveMap: HAS_EMISSIVEMAP,\n\n\t\t\tnormalMapObjectSpace: HAS_NORMALMAP && material.normalMapType === ObjectSpaceNormalMap,\n\t\t\tnormalMapTangentSpace: HAS_NORMALMAP && material.normalMapType === TangentSpaceNormalMap,\n\n\t\t\tmetalnessMap: HAS_METALNESSMAP,\n\t\t\troughnessMap: HAS_ROUGHNESSMAP,\n\n\t\t\tanisotropy: HAS_ANISOTROPY,\n\t\t\tanisotropyMap: HAS_ANISOTROPYMAP,\n\n\t\t\tclearcoat: HAS_CLEARCOAT,\n\t\t\tclearcoatMap: HAS_CLEARCOATMAP,\n\t\t\tclearcoatNormalMap: HAS_CLEARCOAT_NORMALMAP,\n\t\t\tclearcoatRoughnessMap: HAS_CLEARCOAT_ROUGHNESSMAP,\n\n\t\t\tiridescence: HAS_IRIDESCENCE,\n\t\t\tiridescenceMap: HAS_IRIDESCENCEMAP,\n\t\t\tiridescenceThicknessMap: HAS_IRIDESCENCE_THICKNESSMAP,\n\n\t\t\tsheen: HAS_SHEEN,\n\t\t\tsheenColorMap: HAS_SHEEN_COLORMAP,\n\t\t\tsheenRoughnessMap: HAS_SHEEN_ROUGHNESSMAP,\n\n\t\t\tspecularMap: HAS_SPECULARMAP,\n\t\t\tspecularColorMap: HAS_SPECULAR_COLORMAP,\n\t\t\tspecularIntensityMap: HAS_SPECULAR_INTENSITYMAP,\n\n\t\t\ttransmission: HAS_TRANSMISSION,\n\t\t\ttransmissionMap: HAS_TRANSMISSIONMAP,\n\t\t\tthicknessMap: HAS_THICKNESSMAP,\n\n\t\t\tgradientMap: HAS_GRADIENTMAP,\n\n\t\t\topaque: material.transparent === false && material.blending === NormalBlending,\n\n\t\t\talphaMap: HAS_ALPHAMAP,\n\t\t\talphaTest: HAS_ALPHATEST,\n\t\t\talphaHash: HAS_ALPHAHASH,\n\n\t\t\tcombine: material.combine,\n\n\t\t\t//\n\n\t\t\tmapUv: HAS_MAP && getChannel( material.map.channel ),\n\t\t\taoMapUv: HAS_AOMAP && getChannel( material.aoMap.channel ),\n\t\t\tlightMapUv: HAS_LIGHTMAP && getChannel( material.lightMap.channel ),\n\t\t\tbumpMapUv: HAS_BUMPMAP && getChannel( material.bumpMap.channel ),\n\t\t\tnormalMapUv: HAS_NORMALMAP && getChannel( material.normalMap.channel ),\n\t\t\tdisplacementMapUv: HAS_DISPLACEMENTMAP && getChannel( material.displacementMap.channel ),\n\t\t\temissiveMapUv: HAS_EMISSIVEMAP && getChannel( material.emissiveMap.channel ),\n\n\t\t\tmetalnessMapUv: HAS_METALNESSMAP && getChannel( material.metalnessMap.channel ),\n\t\t\troughnessMapUv: HAS_ROUGHNESSMAP && getChannel( material.roughnessMap.channel ),\n\n\t\t\tanisotropyMapUv: HAS_ANISOTROPYMAP && getChannel( material.anisotropyMap.channel ),\n\n\t\t\tclearcoatMapUv: HAS_CLEARCOATMAP && getChannel( material.clearcoatMap.channel ),\n\t\t\tclearcoatNormalMapUv: HAS_CLEARCOAT_NORMALMAP && getChannel( material.clearcoatNormalMap.channel ),\n\t\t\tclearcoatRoughnessMapUv: HAS_CLEARCOAT_ROUGHNESSMAP && getChannel( material.clearcoatRoughnessMap.channel ),\n\n\t\t\tiridescenceMapUv: HAS_IRIDESCENCEMAP && getChannel( material.iridescenceMap.channel ),\n\t\t\tiridescenceThicknessMapUv: HAS_IRIDESCENCE_THICKNESSMAP && getChannel( material.iridescenceThicknessMap.channel ),\n\n\t\t\tsheenColorMapUv: HAS_SHEEN_COLORMAP && getChannel( material.sheenColorMap.channel ),\n\t\t\tsheenRoughnessMapUv: HAS_SHEEN_ROUGHNESSMAP && getChannel( material.sheenRoughnessMap.channel ),\n\n\t\t\tspecularMapUv: HAS_SPECULARMAP && getChannel( material.specularMap.channel ),\n\t\t\tspecularColorMapUv: HAS_SPECULAR_COLORMAP && getChannel( material.specularColorMap.channel ),\n\t\t\tspecularIntensityMapUv: HAS_SPECULAR_INTENSITYMAP && getChannel( material.specularIntensityMap.channel ),\n\n\t\t\ttransmissionMapUv: HAS_TRANSMISSIONMAP && getChannel( material.transmissionMap.channel ),\n\t\t\tthicknessMapUv: HAS_THICKNESSMAP && getChannel( material.thicknessMap.channel ),\n\n\t\t\talphaMapUv: HAS_ALPHAMAP && getChannel( material.alphaMap.channel ),\n\n\t\t\t//\n\n\t\t\tvertexTangents: !! geometry.attributes.tangent && ( HAS_NORMALMAP || HAS_ANISOTROPY ),\n\t\t\tvertexColors: material.vertexColors,\n\t\t\tvertexAlphas: material.vertexColors === true && !! geometry.attributes.color && geometry.attributes.color.itemSize === 4,\n\t\t\tvertexUv1s: HAS_ATTRIBUTE_UV1,\n\t\t\tvertexUv2s: HAS_ATTRIBUTE_UV2,\n\t\t\tvertexUv3s: HAS_ATTRIBUTE_UV3,\n\n\t\t\tpointsUvs: object.isPoints === true && !! geometry.attributes.uv && ( HAS_MAP || HAS_ALPHAMAP ),\n\n\t\t\tfog: !! fog,\n\t\t\tuseFog: material.fog === true,\n\t\t\tfogExp2: ( fog && fog.isFogExp2 ),\n\n\t\t\tflatShading: material.flatShading === true,\n\n\t\t\tsizeAttenuation: material.sizeAttenuation === true,\n\t\t\tlogarithmicDepthBuffer: logarithmicDepthBuffer,\n\n\t\t\tskinning: object.isSkinnedMesh === true,\n\n\t\t\tmorphTargets: geometry.morphAttributes.position !== undefined,\n\t\t\tmorphNormals: geometry.morphAttributes.normal !== undefined,\n\t\t\tmorphColors: geometry.morphAttributes.color !== undefined,\n\t\t\tmorphTargetsCount: morphTargetsCount,\n\t\t\tmorphTextureStride: morphTextureStride,\n\n\t\t\tnumDirLights: lights.directional.length,\n\t\t\tnumPointLights: lights.point.length,\n\t\t\tnumSpotLights: lights.spot.length,\n\t\t\tnumSpotLightMaps: lights.spotLightMap.length,\n\t\t\tnumRectAreaLights: lights.rectArea.length,\n\t\t\tnumHemiLights: lights.hemi.length,\n\n\t\t\tnumDirLightShadows: lights.directionalShadowMap.length,\n\t\t\tnumPointLightShadows: lights.pointShadowMap.length,\n\t\t\tnumSpotLightShadows: lights.spotShadowMap.length,\n\t\t\tnumSpotLightShadowsWithMaps: lights.numSpotLightShadowsWithMaps,\n\n\t\t\tnumLightProbes: lights.numLightProbes,\n\n\t\t\tnumClippingPlanes: clipping.numPlanes,\n\t\t\tnumClipIntersection: clipping.numIntersection,\n\n\t\t\tdithering: material.dithering,\n\n\t\t\tshadowMapEnabled: renderer.shadowMap.enabled && shadows.length > 0,\n\t\t\tshadowMapType: renderer.shadowMap.type,\n\n\t\t\ttoneMapping: toneMapping,\n\t\t\tuseLegacyLights: renderer._useLegacyLights,\n\n\t\t\tdecodeVideoTexture: HAS_MAP && ( material.map.isVideoTexture === true ) && ( ColorManagement.getTransfer( material.map.colorSpace ) === SRGBTransfer ),\n\n\t\t\tpremultipliedAlpha: material.premultipliedAlpha,\n\n\t\t\tdoubleSided: material.side === DoubleSide,\n\t\t\tflipSided: material.side === BackSide,\n\n\t\t\tuseDepthPacking: material.depthPacking >= 0,\n\t\t\tdepthPacking: material.depthPacking || 0,\n\n\t\t\tindex0AttributeName: material.index0AttributeName,\n\n\t\t\textensionDerivatives: HAS_EXTENSIONS && material.extensions.derivatives === true,\n\t\t\textensionFragDepth: HAS_EXTENSIONS && material.extensions.fragDepth === true,\n\t\t\textensionDrawBuffers: HAS_EXTENSIONS && material.extensions.drawBuffers === true,\n\t\t\textensionShaderTextureLOD: HAS_EXTENSIONS && material.extensions.shaderTextureLOD === true,\n\t\t\textensionClipCullDistance: HAS_EXTENSIONS && material.extensions.clipCullDistance && extensions.has( 'WEBGL_clip_cull_distance' ),\n\n\t\t\trendererExtensionFragDepth: IS_WEBGL2 || extensions.has( 'EXT_frag_depth' ),\n\t\t\trendererExtensionDrawBuffers: IS_WEBGL2 || extensions.has( 'WEBGL_draw_buffers' ),\n\t\t\trendererExtensionShaderTextureLod: IS_WEBGL2 || extensions.has( 'EXT_shader_texture_lod' ),\n\t\t\trendererExtensionParallelShaderCompile: extensions.has( 'KHR_parallel_shader_compile' ),\n\n\t\t\tcustomProgramCacheKey: material.customProgramCacheKey()\n\n\t\t};\n\n\t\treturn parameters;\n\n\t}\n\n\tfunction getProgramCacheKey( parameters ) {\n\n\t\tconst array = [];\n\n\t\tif ( parameters.shaderID ) {\n\n\t\t\tarray.push( parameters.shaderID );\n\n\t\t} else {\n\n\t\t\tarray.push( parameters.customVertexShaderID );\n\t\t\tarray.push( parameters.customFragmentShaderID );\n\n\t\t}\n\n\t\tif ( parameters.defines !== undefined ) {\n\n\t\t\tfor ( const name in parameters.defines ) {\n\n\t\t\t\tarray.push( name );\n\t\t\t\tarray.push( parameters.defines[ name ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( parameters.isRawShaderMaterial === false ) {\n\n\t\t\tgetProgramCacheKeyParameters( array, parameters );\n\t\t\tgetProgramCacheKeyBooleans( array, parameters );\n\t\t\tarray.push( renderer.outputColorSpace );\n\n\t\t}\n\n\t\tarray.push( parameters.customProgramCacheKey );\n\n\t\treturn array.join();\n\n\t}\n\n\tfunction getProgramCacheKeyParameters( array, parameters ) {\n\n\t\tarray.push( parameters.precision );\n\t\tarray.push( parameters.outputColorSpace );\n\t\tarray.push( parameters.envMapMode );\n\t\tarray.push( parameters.envMapCubeUVHeight );\n\t\tarray.push( parameters.mapUv );\n\t\tarray.push( parameters.alphaMapUv );\n\t\tarray.push( parameters.lightMapUv );\n\t\tarray.push( parameters.aoMapUv );\n\t\tarray.push( parameters.bumpMapUv );\n\t\tarray.push( parameters.normalMapUv );\n\t\tarray.push( parameters.displacementMapUv );\n\t\tarray.push( parameters.emissiveMapUv );\n\t\tarray.push( parameters.metalnessMapUv );\n\t\tarray.push( parameters.roughnessMapUv );\n\t\tarray.push( parameters.anisotropyMapUv );\n\t\tarray.push( parameters.clearcoatMapUv );\n\t\tarray.push( parameters.clearcoatNormalMapUv );\n\t\tarray.push( parameters.clearcoatRoughnessMapUv );\n\t\tarray.push( parameters.iridescenceMapUv );\n\t\tarray.push( parameters.iridescenceThicknessMapUv );\n\t\tarray.push( parameters.sheenColorMapUv );\n\t\tarray.push( parameters.sheenRoughnessMapUv );\n\t\tarray.push( parameters.specularMapUv );\n\t\tarray.push( parameters.specularColorMapUv );\n\t\tarray.push( parameters.specularIntensityMapUv );\n\t\tarray.push( parameters.transmissionMapUv );\n\t\tarray.push( parameters.thicknessMapUv );\n\t\tarray.push( parameters.combine );\n\t\tarray.push( parameters.fogExp2 );\n\t\tarray.push( parameters.sizeAttenuation );\n\t\tarray.push( parameters.morphTargetsCount );\n\t\tarray.push( parameters.morphAttributeCount );\n\t\tarray.push( parameters.numDirLights );\n\t\tarray.push( parameters.numPointLights );\n\t\tarray.push( parameters.numSpotLights );\n\t\tarray.push( parameters.numSpotLightMaps );\n\t\tarray.push( parameters.numHemiLights );\n\t\tarray.push( parameters.numRectAreaLights );\n\t\tarray.push( parameters.numDirLightShadows );\n\t\tarray.push( parameters.numPointLightShadows );\n\t\tarray.push( parameters.numSpotLightShadows );\n\t\tarray.push( parameters.numSpotLightShadowsWithMaps );\n\t\tarray.push( parameters.numLightProbes );\n\t\tarray.push( parameters.shadowMapType );\n\t\tarray.push( parameters.toneMapping );\n\t\tarray.push( parameters.numClippingPlanes );\n\t\tarray.push( parameters.numClipIntersection );\n\t\tarray.push( parameters.depthPacking );\n\n\t}\n\n\tfunction getProgramCacheKeyBooleans( array, parameters ) {\n\n\t\t_programLayers.disableAll();\n\n\t\tif ( parameters.isWebGL2 )\n\t\t\t_programLayers.enable( 0 );\n\t\tif ( parameters.supportsVertexTextures )\n\t\t\t_programLayers.enable( 1 );\n\t\tif ( parameters.instancing )\n\t\t\t_programLayers.enable( 2 );\n\t\tif ( parameters.instancingColor )\n\t\t\t_programLayers.enable( 3 );\n\t\tif ( parameters.matcap )\n\t\t\t_programLayers.enable( 4 );\n\t\tif ( parameters.envMap )\n\t\t\t_programLayers.enable( 5 );\n\t\tif ( parameters.normalMapObjectSpace )\n\t\t\t_programLayers.enable( 6 );\n\t\tif ( parameters.normalMapTangentSpace )\n\t\t\t_programLayers.enable( 7 );\n\t\tif ( parameters.clearcoat )\n\t\t\t_programLayers.enable( 8 );\n\t\tif ( parameters.iridescence )\n\t\t\t_programLayers.enable( 9 );\n\t\tif ( parameters.alphaTest )\n\t\t\t_programLayers.enable( 10 );\n\t\tif ( parameters.vertexColors )\n\t\t\t_programLayers.enable( 11 );\n\t\tif ( parameters.vertexAlphas )\n\t\t\t_programLayers.enable( 12 );\n\t\tif ( parameters.vertexUv1s )\n\t\t\t_programLayers.enable( 13 );\n\t\tif ( parameters.vertexUv2s )\n\t\t\t_programLayers.enable( 14 );\n\t\tif ( parameters.vertexUv3s )\n\t\t\t_programLayers.enable( 15 );\n\t\tif ( parameters.vertexTangents )\n\t\t\t_programLayers.enable( 16 );\n\t\tif ( parameters.anisotropy )\n\t\t\t_programLayers.enable( 17 );\n\t\tif ( parameters.alphaHash )\n\t\t\t_programLayers.enable( 18 );\n\t\tif ( parameters.batching )\n\t\t\t_programLayers.enable( 19 );\n\n\t\tarray.push( _programLayers.mask );\n\t\t_programLayers.disableAll();\n\n\t\tif ( parameters.fog )\n\t\t\t_programLayers.enable( 0 );\n\t\tif ( parameters.useFog )\n\t\t\t_programLayers.enable( 1 );\n\t\tif ( parameters.flatShading )\n\t\t\t_programLayers.enable( 2 );\n\t\tif ( parameters.logarithmicDepthBuffer )\n\t\t\t_programLayers.enable( 3 );\n\t\tif ( parameters.skinning )\n\t\t\t_programLayers.enable( 4 );\n\t\tif ( parameters.morphTargets )\n\t\t\t_programLayers.enable( 5 );\n\t\tif ( parameters.morphNormals )\n\t\t\t_programLayers.enable( 6 );\n\t\tif ( parameters.morphColors )\n\t\t\t_programLayers.enable( 7 );\n\t\tif ( parameters.premultipliedAlpha )\n\t\t\t_programLayers.enable( 8 );\n\t\tif ( parameters.shadowMapEnabled )\n\t\t\t_programLayers.enable( 9 );\n\t\tif ( parameters.useLegacyLights )\n\t\t\t_programLayers.enable( 10 );\n\t\tif ( parameters.doubleSided )\n\t\t\t_programLayers.enable( 11 );\n\t\tif ( parameters.flipSided )\n\t\t\t_programLayers.enable( 12 );\n\t\tif ( parameters.useDepthPacking )\n\t\t\t_programLayers.enable( 13 );\n\t\tif ( parameters.dithering )\n\t\t\t_programLayers.enable( 14 );\n\t\tif ( parameters.transmission )\n\t\t\t_programLayers.enable( 15 );\n\t\tif ( parameters.sheen )\n\t\t\t_programLayers.enable( 16 );\n\t\tif ( parameters.opaque )\n\t\t\t_programLayers.enable( 17 );\n\t\tif ( parameters.pointsUvs )\n\t\t\t_programLayers.enable( 18 );\n\t\tif ( parameters.decodeVideoTexture )\n\t\t\t_programLayers.enable( 19 );\n\n\t\tarray.push( _programLayers.mask );\n\n\t}\n\n\tfunction getUniforms( material ) {\n\n\t\tconst shaderID = shaderIDs[ material.type ];\n\t\tlet uniforms;\n\n\t\tif ( shaderID ) {\n\n\t\t\tconst shader = ShaderLib[ shaderID ];\n\t\t\tuniforms = UniformsUtils.clone( shader.uniforms );\n\n\t\t} else {\n\n\t\t\tuniforms = material.uniforms;\n\n\t\t}\n\n\t\treturn uniforms;\n\n\t}\n\n\tfunction acquireProgram( parameters, cacheKey ) {\n\n\t\tlet program;\n\n\t\t// Check if code has been already compiled\n\t\tfor ( let p = 0, pl = programs.length; p < pl; p ++ ) {\n\n\t\t\tconst preexistingProgram = programs[ p ];\n\n\t\t\tif ( preexistingProgram.cacheKey === cacheKey ) {\n\n\t\t\t\tprogram = preexistingProgram;\n\t\t\t\t++ program.usedTimes;\n\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( program === undefined ) {\n\n\t\t\tprogram = new WebGLProgram( renderer, cacheKey, parameters, bindingStates );\n\t\t\tprograms.push( program );\n\n\t\t}\n\n\t\treturn program;\n\n\t}\n\n\tfunction releaseProgram( program ) {\n\n\t\tif ( -- program.usedTimes === 0 ) {\n\n\t\t\t// Remove from unordered set\n\t\t\tconst i = programs.indexOf( program );\n\t\t\tprograms[ i ] = programs[ programs.length - 1 ];\n\t\t\tprograms.pop();\n\n\t\t\t// Free WebGL resources\n\t\t\tprogram.destroy();\n\n\t\t}\n\n\t}\n\n\tfunction releaseShaderCache( material ) {\n\n\t\t_customShaders.remove( material );\n\n\t}\n\n\tfunction dispose() {\n\n\t\t_customShaders.dispose();\n\n\t}\n\n\treturn {\n\t\tgetParameters: getParameters,\n\t\tgetProgramCacheKey: getProgramCacheKey,\n\t\tgetUniforms: getUniforms,\n\t\tacquireProgram: acquireProgram,\n\t\treleaseProgram: releaseProgram,\n\t\treleaseShaderCache: releaseShaderCache,\n\t\t// Exposed for resource monitoring & error feedback via renderer.info:\n\t\tprograms: programs,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction WebGLProperties() {\n\n\tlet properties = new WeakMap();\n\n\tfunction get( object ) {\n\n\t\tlet map = properties.get( object );\n\n\t\tif ( map === undefined ) {\n\n\t\t\tmap = {};\n\t\t\tproperties.set( object, map );\n\n\t\t}\n\n\t\treturn map;\n\n\t}\n\n\tfunction remove( object ) {\n\n\t\tproperties.delete( object );\n\n\t}\n\n\tfunction update( object, key, value ) {\n\n\t\tproperties.get( object )[ key ] = value;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tproperties = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tremove: remove,\n\t\tupdate: update,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction painterSortStable( a, b ) {\n\n\tif ( a.groupOrder !== b.groupOrder ) {\n\n\t\treturn a.groupOrder - b.groupOrder;\n\n\t} else if ( a.renderOrder !== b.renderOrder ) {\n\n\t\treturn a.renderOrder - b.renderOrder;\n\n\t} else if ( a.material.id !== b.material.id ) {\n\n\t\treturn a.material.id - b.material.id;\n\n\t} else if ( a.z !== b.z ) {\n\n\t\treturn a.z - b.z;\n\n\t} else {\n\n\t\treturn a.id - b.id;\n\n\t}\n\n}\n\nfunction reversePainterSortStable( a, b ) {\n\n\tif ( a.groupOrder !== b.groupOrder ) {\n\n\t\treturn a.groupOrder - b.groupOrder;\n\n\t} else if ( a.renderOrder !== b.renderOrder ) {\n\n\t\treturn a.renderOrder - b.renderOrder;\n\n\t} else if ( a.z !== b.z ) {\n\n\t\treturn b.z - a.z;\n\n\t} else {\n\n\t\treturn a.id - b.id;\n\n\t}\n\n}\n\n\nfunction WebGLRenderList() {\n\n\tconst renderItems = [];\n\tlet renderItemsIndex = 0;\n\n\tconst opaque = [];\n\tconst transmissive = [];\n\tconst transparent = [];\n\n\tfunction init() {\n\n\t\trenderItemsIndex = 0;\n\n\t\topaque.length = 0;\n\t\ttransmissive.length = 0;\n\t\ttransparent.length = 0;\n\n\t}\n\n\tfunction getNextRenderItem( object, geometry, material, groupOrder, z, group ) {\n\n\t\tlet renderItem = renderItems[ renderItemsIndex ];\n\n\t\tif ( renderItem === undefined ) {\n\n\t\t\trenderItem = {\n\t\t\t\tid: object.id,\n\t\t\t\tobject: object,\n\t\t\t\tgeometry: geometry,\n\t\t\t\tmaterial: material,\n\t\t\t\tgroupOrder: groupOrder,\n\t\t\t\trenderOrder: object.renderOrder,\n\t\t\t\tz: z,\n\t\t\t\tgroup: group\n\t\t\t};\n\n\t\t\trenderItems[ renderItemsIndex ] = renderItem;\n\n\t\t} else {\n\n\t\t\trenderItem.id = object.id;\n\t\t\trenderItem.object = object;\n\t\t\trenderItem.geometry = geometry;\n\t\t\trenderItem.material = material;\n\t\t\trenderItem.groupOrder = groupOrder;\n\t\t\trenderItem.renderOrder = object.renderOrder;\n\t\t\trenderItem.z = z;\n\t\t\trenderItem.group = group;\n\n\t\t}\n\n\t\trenderItemsIndex ++;\n\n\t\treturn renderItem;\n\n\t}\n\n\tfunction push( object, geometry, material, groupOrder, z, group ) {\n\n\t\tconst renderItem = getNextRenderItem( object, geometry, material, groupOrder, z, group );\n\n\t\tif ( material.transmission > 0.0 ) {\n\n\t\t\ttransmissive.push( renderItem );\n\n\t\t} else if ( material.transparent === true ) {\n\n\t\t\ttransparent.push( renderItem );\n\n\t\t} else {\n\n\t\t\topaque.push( renderItem );\n\n\t\t}\n\n\t}\n\n\tfunction unshift( object, geometry, material, groupOrder, z, group ) {\n\n\t\tconst renderItem = getNextRenderItem( object, geometry, material, groupOrder, z, group );\n\n\t\tif ( material.transmission > 0.0 ) {\n\n\t\t\ttransmissive.unshift( renderItem );\n\n\t\t} else if ( material.transparent === true ) {\n\n\t\t\ttransparent.unshift( renderItem );\n\n\t\t} else {\n\n\t\t\topaque.unshift( renderItem );\n\n\t\t}\n\n\t}\n\n\tfunction sort( customOpaqueSort, customTransparentSort ) {\n\n\t\tif ( opaque.length > 1 ) opaque.sort( customOpaqueSort || painterSortStable );\n\t\tif ( transmissive.length > 1 ) transmissive.sort( customTransparentSort || reversePainterSortStable );\n\t\tif ( transparent.length > 1 ) transparent.sort( customTransparentSort || reversePainterSortStable );\n\n\t}\n\n\tfunction finish() {\n\n\t\t// Clear references from inactive renderItems in the list\n\n\t\tfor ( let i = renderItemsIndex, il = renderItems.length; i < il; i ++ ) {\n\n\t\t\tconst renderItem = renderItems[ i ];\n\n\t\t\tif ( renderItem.id === null ) break;\n\n\t\t\trenderItem.id = null;\n\t\t\trenderItem.object = null;\n\t\t\trenderItem.geometry = null;\n\t\t\trenderItem.material = null;\n\t\t\trenderItem.group = null;\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\topaque: opaque,\n\t\ttransmissive: transmissive,\n\t\ttransparent: transparent,\n\n\t\tinit: init,\n\t\tpush: push,\n\t\tunshift: unshift,\n\t\tfinish: finish,\n\n\t\tsort: sort\n\t};\n\n}\n\nfunction WebGLRenderLists() {\n\n\tlet lists = new WeakMap();\n\n\tfunction get( scene, renderCallDepth ) {\n\n\t\tconst listArray = lists.get( scene );\n\t\tlet list;\n\n\t\tif ( listArray === undefined ) {\n\n\t\t\tlist = new WebGLRenderList();\n\t\t\tlists.set( scene, [ list ] );\n\n\t\t} else {\n\n\t\t\tif ( renderCallDepth >= listArray.length ) {\n\n\t\t\t\tlist = new WebGLRenderList();\n\t\t\t\tlistArray.push( list );\n\n\t\t\t} else {\n\n\t\t\t\tlist = listArray[ renderCallDepth ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn list;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tlists = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction UniformsCache() {\n\n\tconst lights = {};\n\n\treturn {\n\n\t\tget: function ( light ) {\n\n\t\t\tif ( lights[ light.id ] !== undefined ) {\n\n\t\t\t\treturn lights[ light.id ];\n\n\t\t\t}\n\n\t\t\tlet uniforms;\n\n\t\t\tswitch ( light.type ) {\n\n\t\t\t\tcase 'DirectionalLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tcolor: new Color()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'SpotLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tdistance: 0,\n\t\t\t\t\t\tconeCos: 0,\n\t\t\t\t\t\tpenumbraCos: 0,\n\t\t\t\t\t\tdecay: 0\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'PointLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tdistance: 0,\n\t\t\t\t\t\tdecay: 0\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'HemisphereLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tskyColor: new Color(),\n\t\t\t\t\t\tgroundColor: new Color()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'RectAreaLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\thalfWidth: new Vector3(),\n\t\t\t\t\t\thalfHeight: new Vector3()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tlights[ light.id ] = uniforms;\n\n\t\t\treturn uniforms;\n\n\t\t}\n\n\t};\n\n}\n\nfunction ShadowUniformsCache() {\n\n\tconst lights = {};\n\n\treturn {\n\n\t\tget: function ( light ) {\n\n\t\t\tif ( lights[ light.id ] !== undefined ) {\n\n\t\t\t\treturn lights[ light.id ];\n\n\t\t\t}\n\n\t\t\tlet uniforms;\n\n\t\t\tswitch ( light.type ) {\n\n\t\t\t\tcase 'DirectionalLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'SpotLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'PointLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2(),\n\t\t\t\t\t\tshadowCameraNear: 1,\n\t\t\t\t\t\tshadowCameraFar: 1000\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\t// TODO (abelnation): set RectAreaLight shadow uniforms\n\n\t\t\t}\n\n\t\t\tlights[ light.id ] = uniforms;\n\n\t\t\treturn uniforms;\n\n\t\t}\n\n\t};\n\n}\n\n\n\nlet nextVersion = 0;\n\nfunction shadowCastingAndTexturingLightsFirst( lightA, lightB ) {\n\n\treturn ( lightB.castShadow ? 2 : 0 ) - ( lightA.castShadow ? 2 : 0 ) + ( lightB.map ? 1 : 0 ) - ( lightA.map ? 1 : 0 );\n\n}\n\nfunction WebGLLights( extensions, capabilities ) {\n\n\tconst cache = new UniformsCache();\n\n\tconst shadowCache = ShadowUniformsCache();\n\n\tconst state = {\n\n\t\tversion: 0,\n\n\t\thash: {\n\t\t\tdirectionalLength: - 1,\n\t\t\tpointLength: - 1,\n\t\t\tspotLength: - 1,\n\t\t\trectAreaLength: - 1,\n\t\t\themiLength: - 1,\n\n\t\t\tnumDirectionalShadows: - 1,\n\t\t\tnumPointShadows: - 1,\n\t\t\tnumSpotShadows: - 1,\n\t\t\tnumSpotMaps: - 1,\n\n\t\t\tnumLightProbes: - 1\n\t\t},\n\n\t\tambient: [ 0, 0, 0 ],\n\t\tprobe: [],\n\t\tdirectional: [],\n\t\tdirectionalShadow: [],\n\t\tdirectionalShadowMap: [],\n\t\tdirectionalShadowMatrix: [],\n\t\tspot: [],\n\t\tspotLightMap: [],\n\t\tspotShadow: [],\n\t\tspotShadowMap: [],\n\t\tspotLightMatrix: [],\n\t\trectArea: [],\n\t\trectAreaLTC1: null,\n\t\trectAreaLTC2: null,\n\t\tpoint: [],\n\t\tpointShadow: [],\n\t\tpointShadowMap: [],\n\t\tpointShadowMatrix: [],\n\t\themi: [],\n\t\tnumSpotLightShadowsWithMaps: 0,\n\t\tnumLightProbes: 0\n\n\t};\n\n\tfor ( let i = 0; i < 9; i ++ ) state.probe.push( new Vector3() );\n\n\tconst vector3 = new Vector3();\n\tconst matrix4 = new Matrix4();\n\tconst matrix42 = new Matrix4();\n\n\tfunction setup( lights, useLegacyLights ) {\n\n\t\tlet r = 0, g = 0, b = 0;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) state.probe[ i ].set( 0, 0, 0 );\n\n\t\tlet directionalLength = 0;\n\t\tlet pointLength = 0;\n\t\tlet spotLength = 0;\n\t\tlet rectAreaLength = 0;\n\t\tlet hemiLength = 0;\n\n\t\tlet numDirectionalShadows = 0;\n\t\tlet numPointShadows = 0;\n\t\tlet numSpotShadows = 0;\n\t\tlet numSpotMaps = 0;\n\t\tlet numSpotShadowsWithMaps = 0;\n\n\t\tlet numLightProbes = 0;\n\n\t\t// ordering : [shadow casting + map texturing, map texturing, shadow casting, none ]\n\t\tlights.sort( shadowCastingAndTexturingLightsFirst );\n\n\t\t// artist-friendly light intensity scaling factor\n\t\tconst scaleFactor = ( useLegacyLights === true ) ? Math.PI : 1;\n\n\t\tfor ( let i = 0, l = lights.length; i < l; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\n\t\t\tconst color = light.color;\n\t\t\tconst intensity = light.intensity;\n\t\t\tconst distance = light.distance;\n\n\t\t\tconst shadowMap = ( light.shadow && light.shadow.map ) ? light.shadow.map.texture : null;\n\n\t\t\tif ( light.isAmbientLight ) {\n\n\t\t\t\tr += color.r * intensity * scaleFactor;\n\t\t\t\tg += color.g * intensity * scaleFactor;\n\t\t\t\tb += color.b * intensity * scaleFactor;\n\n\t\t\t} else if ( light.isLightProbe ) {\n\n\t\t\t\tfor ( let j = 0; j < 9; j ++ ) {\n\n\t\t\t\t\tstate.probe[ j ].addScaledVector( light.sh.coefficients[ j ], intensity );\n\n\t\t\t\t}\n\n\t\t\t\tnumLightProbes ++;\n\n\t\t\t} else if ( light.isDirectionalLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( light.color ).multiplyScalar( light.intensity * scaleFactor );\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\n\t\t\t\t\tstate.directionalShadow[ directionalLength ] = shadowUniforms;\n\t\t\t\t\tstate.directionalShadowMap[ directionalLength ] = shadowMap;\n\t\t\t\t\tstate.directionalShadowMatrix[ directionalLength ] = light.shadow.matrix;\n\n\t\t\t\t\tnumDirectionalShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.directional[ directionalLength ] = uniforms;\n\n\t\t\t\tdirectionalLength ++;\n\n\t\t\t} else if ( light.isSpotLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\n\t\t\t\tuniforms.color.copy( color ).multiplyScalar( intensity * scaleFactor );\n\t\t\t\tuniforms.distance = distance;\n\n\t\t\t\tuniforms.coneCos = Math.cos( light.angle );\n\t\t\t\tuniforms.penumbraCos = Math.cos( light.angle * ( 1 - light.penumbra ) );\n\t\t\t\tuniforms.decay = light.decay;\n\n\t\t\t\tstate.spot[ spotLength ] = uniforms;\n\n\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\tif ( light.map ) {\n\n\t\t\t\t\tstate.spotLightMap[ numSpotMaps ] = light.map;\n\t\t\t\t\tnumSpotMaps ++;\n\n\t\t\t\t\t// make sure the lightMatrix is up to date\n\t\t\t\t\t// TODO : do it if required only\n\t\t\t\t\tshadow.updateMatrices( light );\n\n\t\t\t\t\tif ( light.castShadow ) numSpotShadowsWithMaps ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.spotLightMatrix[ spotLength ] = shadow.matrix;\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\n\t\t\t\t\tstate.spotShadow[ spotLength ] = shadowUniforms;\n\t\t\t\t\tstate.spotShadowMap[ spotLength ] = shadowMap;\n\n\t\t\t\t\tnumSpotShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tspotLength ++;\n\n\t\t\t} else if ( light.isRectAreaLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( color ).multiplyScalar( intensity );\n\n\t\t\t\tuniforms.halfWidth.set( light.width * 0.5, 0.0, 0.0 );\n\t\t\t\tuniforms.halfHeight.set( 0.0, light.height * 0.5, 0.0 );\n\n\t\t\t\tstate.rectArea[ rectAreaLength ] = uniforms;\n\n\t\t\t\trectAreaLength ++;\n\n\t\t\t} else if ( light.isPointLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( light.color ).multiplyScalar( light.intensity * scaleFactor );\n\t\t\t\tuniforms.distance = light.distance;\n\t\t\t\tuniforms.decay = light.decay;\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\t\t\t\t\tshadowUniforms.shadowCameraNear = shadow.camera.near;\n\t\t\t\t\tshadowUniforms.shadowCameraFar = shadow.camera.far;\n\n\t\t\t\t\tstate.pointShadow[ pointLength ] = shadowUniforms;\n\t\t\t\t\tstate.pointShadowMap[ pointLength ] = shadowMap;\n\t\t\t\t\tstate.pointShadowMatrix[ pointLength ] = light.shadow.matrix;\n\n\t\t\t\t\tnumPointShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.point[ pointLength ] = uniforms;\n\n\t\t\t\tpointLength ++;\n\n\t\t\t} else if ( light.isHemisphereLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.skyColor.copy( light.color ).multiplyScalar( intensity * scaleFactor );\n\t\t\t\tuniforms.groundColor.copy( light.groundColor ).multiplyScalar( intensity * scaleFactor );\n\n\t\t\t\tstate.hemi[ hemiLength ] = uniforms;\n\n\t\t\t\themiLength ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( rectAreaLength > 0 ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\t// WebGL 2\n\n\t\t\t\tif ( extensions.has( 'OES_texture_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// WebGL 1\n\n\t\t\t\tif ( extensions.has( 'OES_texture_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\n\n\t\t\t\t} else if ( extensions.has( 'OES_texture_half_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.ambient[ 0 ] = r;\n\t\tstate.ambient[ 1 ] = g;\n\t\tstate.ambient[ 2 ] = b;\n\n\t\tconst hash = state.hash;\n\n\t\tif ( hash.directionalLength !== directionalLength ||\n\t\t\thash.pointLength !== pointLength ||\n\t\t\thash.spotLength !== spotLength ||\n\t\t\thash.rectAreaLength !== rectAreaLength ||\n\t\t\thash.hemiLength !== hemiLength ||\n\t\t\thash.numDirectionalShadows !== numDirectionalShadows ||\n\t\t\thash.numPointShadows !== numPointShadows ||\n\t\t\thash.numSpotShadows !== numSpotShadows ||\n\t\t\thash.numSpotMaps !== numSpotMaps ||\n\t\t\thash.numLightProbes !== numLightProbes ) {\n\n\t\t\tstate.directional.length = directionalLength;\n\t\t\tstate.spot.length = spotLength;\n\t\t\tstate.rectArea.length = rectAreaLength;\n\t\t\tstate.point.length = pointLength;\n\t\t\tstate.hemi.length = hemiLength;\n\n\t\t\tstate.directionalShadow.length = numDirectionalShadows;\n\t\t\tstate.directionalShadowMap.length = numDirectionalShadows;\n\t\t\tstate.pointShadow.length = numPointShadows;\n\t\t\tstate.pointShadowMap.length = numPointShadows;\n\t\t\tstate.spotShadow.length = numSpotShadows;\n\t\t\tstate.spotShadowMap.length = numSpotShadows;\n\t\t\tstate.directionalShadowMatrix.length = numDirectionalShadows;\n\t\t\tstate.pointShadowMatrix.length = numPointShadows;\n\t\t\tstate.spotLightMatrix.length = numSpotShadows + numSpotMaps - numSpotShadowsWithMaps;\n\t\t\tstate.spotLightMap.length = numSpotMaps;\n\t\t\tstate.numSpotLightShadowsWithMaps = numSpotShadowsWithMaps;\n\t\t\tstate.numLightProbes = numLightProbes;\n\n\t\t\thash.directionalLength = directionalLength;\n\t\t\thash.pointLength = pointLength;\n\t\t\thash.spotLength = spotLength;\n\t\t\thash.rectAreaLength = rectAreaLength;\n\t\t\thash.hemiLength = hemiLength;\n\n\t\t\thash.numDirectionalShadows = numDirectionalShadows;\n\t\t\thash.numPointShadows = numPointShadows;\n\t\t\thash.numSpotShadows = numSpotShadows;\n\t\t\thash.numSpotMaps = numSpotMaps;\n\n\t\t\thash.numLightProbes = numLightProbes;\n\n\t\t\tstate.version = nextVersion ++;\n\n\t\t}\n\n\t}\n\n\tfunction setupView( lights, camera ) {\n\n\t\tlet directionalLength = 0;\n\t\tlet pointLength = 0;\n\t\tlet spotLength = 0;\n\t\tlet rectAreaLength = 0;\n\t\tlet hemiLength = 0;\n\n\t\tconst viewMatrix = camera.matrixWorldInverse;\n\n\t\tfor ( let i = 0, l = lights.length; i < l; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\n\t\t\tif ( light.isDirectionalLight ) {\n\n\t\t\t\tconst uniforms = state.directional[ directionalLength ];\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tvector3.setFromMatrixPosition( light.target.matrixWorld );\n\t\t\t\tuniforms.direction.sub( vector3 );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\tdirectionalLength ++;\n\n\t\t\t} else if ( light.isSpotLight ) {\n\n\t\t\t\tconst uniforms = state.spot[ spotLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tvector3.setFromMatrixPosition( light.target.matrixWorld );\n\t\t\t\tuniforms.direction.sub( vector3 );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\tspotLength ++;\n\n\t\t\t} else if ( light.isRectAreaLight ) {\n\n\t\t\t\tconst uniforms = state.rectArea[ rectAreaLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\t// extract local rotation of light to derive width/height half vectors\n\t\t\t\tmatrix42.identity();\n\t\t\t\tmatrix4.copy( light.matrixWorld );\n\t\t\t\tmatrix4.premultiply( viewMatrix );\n\t\t\t\tmatrix42.extractRotation( matrix4 );\n\n\t\t\t\tuniforms.halfWidth.set( light.width * 0.5, 0.0, 0.0 );\n\t\t\t\tuniforms.halfHeight.set( 0.0, light.height * 0.5, 0.0 );\n\n\t\t\t\tuniforms.halfWidth.applyMatrix4( matrix42 );\n\t\t\t\tuniforms.halfHeight.applyMatrix4( matrix42 );\n\n\t\t\t\trectAreaLength ++;\n\n\t\t\t} else if ( light.isPointLight ) {\n\n\t\t\t\tconst uniforms = state.point[ pointLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\tpointLength ++;\n\n\t\t\t} else if ( light.isHemisphereLight ) {\n\n\t\t\t\tconst uniforms = state.hemi[ hemiLength ];\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\themiLength ++;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tsetup: setup,\n\t\tsetupView: setupView,\n\t\tstate: state\n\t};\n\n}\n\nfunction WebGLRenderState( extensions, capabilities ) {\n\n\tconst lights = new WebGLLights( extensions, capabilities );\n\n\tconst lightsArray = [];\n\tconst shadowsArray = [];\n\n\tfunction init() {\n\n\t\tlightsArray.length = 0;\n\t\tshadowsArray.length = 0;\n\n\t}\n\n\tfunction pushLight( light ) {\n\n\t\tlightsArray.push( light );\n\n\t}\n\n\tfunction pushShadow( shadowLight ) {\n\n\t\tshadowsArray.push( shadowLight );\n\n\t}\n\n\tfunction setupLights( useLegacyLights ) {\n\n\t\tlights.setup( lightsArray, useLegacyLights );\n\n\t}\n\n\tfunction setupLightsView( camera ) {\n\n\t\tlights.setupView( lightsArray, camera );\n\n\t}\n\n\tconst state = {\n\t\tlightsArray: lightsArray,\n\t\tshadowsArray: shadowsArray,\n\n\t\tlights: lights\n\t};\n\n\treturn {\n\t\tinit: init,\n\t\tstate: state,\n\t\tsetupLights: setupLights,\n\t\tsetupLightsView: setupLightsView,\n\n\t\tpushLight: pushLight,\n\t\tpushShadow: pushShadow\n\t};\n\n}\n\nfunction WebGLRenderStates( extensions, capabilities ) {\n\n\tlet renderStates = new WeakMap();\n\n\tfunction get( scene, renderCallDepth = 0 ) {\n\n\t\tconst renderStateArray = renderStates.get( scene );\n\t\tlet renderState;\n\n\t\tif ( renderStateArray === undefined ) {\n\n\t\t\trenderState = new WebGLRenderState( extensions, capabilities );\n\t\t\trenderStates.set( scene, [ renderState ] );\n\n\t\t} else {\n\n\t\t\tif ( renderCallDepth >= renderStateArray.length ) {\n\n\t\t\t\trenderState = new WebGLRenderState( extensions, capabilities );\n\t\t\t\trenderStateArray.push( renderState );\n\n\t\t\t} else {\n\n\t\t\t\trenderState = renderStateArray[ renderCallDepth ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn renderState;\n\n\t}\n\n\tfunction dispose() {\n\n\t\trenderStates = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nclass MeshDepthMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshDepthMaterial = true;\n\n\t\tthis.type = 'MeshDepthMaterial';\n\n\t\tthis.depthPacking = BasicDepthPacking;\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.depthPacking = source.depthPacking;\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshDistanceMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshDistanceMaterial = true;\n\n\t\tthis.type = 'MeshDistanceMaterial';\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst vertex = \"void main() {\\n\\tgl_Position = vec4( position, 1.0 );\\n}\";\n\nconst fragment = \"uniform sampler2D shadow_pass;\\nuniform vec2 resolution;\\nuniform float radius;\\n#include \\nvoid main() {\\n\\tconst float samples = float( VSM_SAMPLES );\\n\\tfloat mean = 0.0;\\n\\tfloat squared_mean = 0.0;\\n\\tfloat uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );\\n\\tfloat uvStart = samples <= 1.0 ? 0.0 : - 1.0;\\n\\tfor ( float i = 0.0; i < samples; i ++ ) {\\n\\t\\tfloat uvOffset = uvStart + i * uvStride;\\n\\t\\t#ifdef HORIZONTAL_PASS\\n\\t\\t\\tvec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );\\n\\t\\t\\tmean += distribution.x;\\n\\t\\t\\tsquared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\n\\t\\t#else\\n\\t\\t\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );\\n\\t\\t\\tmean += depth;\\n\\t\\t\\tsquared_mean += depth * depth;\\n\\t\\t#endif\\n\\t}\\n\\tmean = mean / samples;\\n\\tsquared_mean = squared_mean / samples;\\n\\tfloat std_dev = sqrt( squared_mean - mean * mean );\\n\\tgl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\n}\";\n\nfunction WebGLShadowMap( _renderer, _objects, _capabilities ) {\n\n\tlet _frustum = new Frustum();\n\n\tconst _shadowMapSize = new Vector2(),\n\t\t_viewportSize = new Vector2(),\n\n\t\t_viewport = new Vector4(),\n\n\t\t_depthMaterial = new MeshDepthMaterial( { depthPacking: RGBADepthPacking } ),\n\t\t_distanceMaterial = new MeshDistanceMaterial(),\n\n\t\t_materialCache = {},\n\n\t\t_maxTextureSize = _capabilities.maxTextureSize;\n\n\tconst shadowSide = { [ FrontSide ]: BackSide, [ BackSide ]: FrontSide, [ DoubleSide ]: DoubleSide };\n\n\tconst shadowMaterialVertical = new ShaderMaterial( {\n\t\tdefines: {\n\t\t\tVSM_SAMPLES: 8\n\t\t},\n\t\tuniforms: {\n\t\t\tshadow_pass: { value: null },\n\t\t\tresolution: { value: new Vector2() },\n\t\t\tradius: { value: 4.0 }\n\t\t},\n\n\t\tvertexShader: vertex,\n\t\tfragmentShader: fragment\n\n\t} );\n\n\tconst shadowMaterialHorizontal = shadowMaterialVertical.clone();\n\tshadowMaterialHorizontal.defines.HORIZONTAL_PASS = 1;\n\n\tconst fullScreenTri = new BufferGeometry();\n\tfullScreenTri.setAttribute(\n\t\t'position',\n\t\tnew BufferAttribute(\n\t\t\tnew Float32Array( [ - 1, - 1, 0.5, 3, - 1, 0.5, - 1, 3, 0.5 ] ),\n\t\t\t3\n\t\t)\n\t);\n\n\tconst fullScreenMesh = new Mesh( fullScreenTri, shadowMaterialVertical );\n\n\tconst scope = this;\n\n\tthis.enabled = false;\n\n\tthis.autoUpdate = true;\n\tthis.needsUpdate = false;\n\n\tthis.type = PCFShadowMap;\n\tlet _previousType = this.type;\n\n\tthis.render = function ( lights, scene, camera ) {\n\n\t\tif ( scope.enabled === false ) return;\n\t\tif ( scope.autoUpdate === false && scope.needsUpdate === false ) return;\n\n\t\tif ( lights.length === 0 ) return;\n\n\t\tconst currentRenderTarget = _renderer.getRenderTarget();\n\t\tconst activeCubeFace = _renderer.getActiveCubeFace();\n\t\tconst activeMipmapLevel = _renderer.getActiveMipmapLevel();\n\n\t\tconst _state = _renderer.state;\n\n\t\t// Set GL state for depth map.\n\t\t_state.setBlending( NoBlending );\n\t\t_state.buffers.color.setClear( 1, 1, 1, 1 );\n\t\t_state.buffers.depth.setTest( true );\n\t\t_state.setScissorTest( false );\n\n\t\t// check for shadow map type changes\n\n\t\tconst toVSM = ( _previousType !== VSMShadowMap && this.type === VSMShadowMap );\n\t\tconst fromVSM = ( _previousType === VSMShadowMap && this.type !== VSMShadowMap );\n\n\t\t// render depth map\n\n\t\tfor ( let i = 0, il = lights.length; i < il; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\t\t\tconst shadow = light.shadow;\n\n\t\t\tif ( shadow === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLShadowMap:', light, 'has no shadow.' );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( shadow.autoUpdate === false && shadow.needsUpdate === false ) continue;\n\n\t\t\t_shadowMapSize.copy( shadow.mapSize );\n\n\t\t\tconst shadowFrameExtents = shadow.getFrameExtents();\n\n\t\t\t_shadowMapSize.multiply( shadowFrameExtents );\n\n\t\t\t_viewportSize.copy( shadow.mapSize );\n\n\t\t\tif ( _shadowMapSize.x > _maxTextureSize || _shadowMapSize.y > _maxTextureSize ) {\n\n\t\t\t\tif ( _shadowMapSize.x > _maxTextureSize ) {\n\n\t\t\t\t\t_viewportSize.x = Math.floor( _maxTextureSize / shadowFrameExtents.x );\n\t\t\t\t\t_shadowMapSize.x = _viewportSize.x * shadowFrameExtents.x;\n\t\t\t\t\tshadow.mapSize.x = _viewportSize.x;\n\n\t\t\t\t}\n\n\t\t\t\tif ( _shadowMapSize.y > _maxTextureSize ) {\n\n\t\t\t\t\t_viewportSize.y = Math.floor( _maxTextureSize / shadowFrameExtents.y );\n\t\t\t\t\t_shadowMapSize.y = _viewportSize.y * shadowFrameExtents.y;\n\t\t\t\t\tshadow.mapSize.y = _viewportSize.y;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( shadow.map === null || toVSM === true || fromVSM === true ) {\n\n\t\t\t\tconst pars = ( this.type !== VSMShadowMap ) ? { minFilter: NearestFilter, magFilter: NearestFilter } : {};\n\n\t\t\t\tif ( shadow.map !== null ) {\n\n\t\t\t\t\tshadow.map.dispose();\n\n\t\t\t\t}\n\n\t\t\t\tshadow.map = new WebGLRenderTarget( _shadowMapSize.x, _shadowMapSize.y, pars );\n\t\t\t\tshadow.map.texture.name = light.name + '.shadowMap';\n\n\t\t\t\tshadow.camera.updateProjectionMatrix();\n\n\t\t\t}\n\n\t\t\t_renderer.setRenderTarget( shadow.map );\n\t\t\t_renderer.clear();\n\n\t\t\tconst viewportCount = shadow.getViewportCount();\n\n\t\t\tfor ( let vp = 0; vp < viewportCount; vp ++ ) {\n\n\t\t\t\tconst viewport = shadow.getViewport( vp );\n\n\t\t\t\t_viewport.set(\n\t\t\t\t\t_viewportSize.x * viewport.x,\n\t\t\t\t\t_viewportSize.y * viewport.y,\n\t\t\t\t\t_viewportSize.x * viewport.z,\n\t\t\t\t\t_viewportSize.y * viewport.w\n\t\t\t\t);\n\n\t\t\t\t_state.viewport( _viewport );\n\n\t\t\t\tshadow.updateMatrices( light, vp );\n\n\t\t\t\t_frustum = shadow.getFrustum();\n\n\t\t\t\trenderObject( scene, camera, shadow.camera, light, this.type );\n\n\t\t\t}\n\n\t\t\t// do blur pass for VSM\n\n\t\t\tif ( shadow.isPointLightShadow !== true && this.type === VSMShadowMap ) {\n\n\t\t\t\tVSMPass( shadow, camera );\n\n\t\t\t}\n\n\t\t\tshadow.needsUpdate = false;\n\n\t\t}\n\n\t\t_previousType = this.type;\n\n\t\tscope.needsUpdate = false;\n\n\t\t_renderer.setRenderTarget( currentRenderTarget, activeCubeFace, activeMipmapLevel );\n\n\t};\n\n\tfunction VSMPass( shadow, camera ) {\n\n\t\tconst geometry = _objects.update( fullScreenMesh );\n\n\t\tif ( shadowMaterialVertical.defines.VSM_SAMPLES !== shadow.blurSamples ) {\n\n\t\t\tshadowMaterialVertical.defines.VSM_SAMPLES = shadow.blurSamples;\n\t\t\tshadowMaterialHorizontal.defines.VSM_SAMPLES = shadow.blurSamples;\n\n\t\t\tshadowMaterialVertical.needsUpdate = true;\n\t\t\tshadowMaterialHorizontal.needsUpdate = true;\n\n\t\t}\n\n\t\tif ( shadow.mapPass === null ) {\n\n\t\t\tshadow.mapPass = new WebGLRenderTarget( _shadowMapSize.x, _shadowMapSize.y );\n\n\t\t}\n\n\t\t// vertical pass\n\n\t\tshadowMaterialVertical.uniforms.shadow_pass.value = shadow.map.texture;\n\t\tshadowMaterialVertical.uniforms.resolution.value = shadow.mapSize;\n\t\tshadowMaterialVertical.uniforms.radius.value = shadow.radius;\n\t\t_renderer.setRenderTarget( shadow.mapPass );\n\t\t_renderer.clear();\n\t\t_renderer.renderBufferDirect( camera, null, geometry, shadowMaterialVertical, fullScreenMesh, null );\n\n\t\t// horizontal pass\n\n\t\tshadowMaterialHorizontal.uniforms.shadow_pass.value = shadow.mapPass.texture;\n\t\tshadowMaterialHorizontal.uniforms.resolution.value = shadow.mapSize;\n\t\tshadowMaterialHorizontal.uniforms.radius.value = shadow.radius;\n\t\t_renderer.setRenderTarget( shadow.map );\n\t\t_renderer.clear();\n\t\t_renderer.renderBufferDirect( camera, null, geometry, shadowMaterialHorizontal, fullScreenMesh, null );\n\n\t}\n\n\tfunction getDepthMaterial( object, material, light, type ) {\n\n\t\tlet result = null;\n\n\t\tconst customMaterial = ( light.isPointLight === true ) ? object.customDistanceMaterial : object.customDepthMaterial;\n\n\t\tif ( customMaterial !== undefined ) {\n\n\t\t\tresult = customMaterial;\n\n\t\t} else {\n\n\t\t\tresult = ( light.isPointLight === true ) ? _distanceMaterial : _depthMaterial;\n\n\t\t\tif ( ( _renderer.localClippingEnabled && material.clipShadows === true && Array.isArray( material.clippingPlanes ) && material.clippingPlanes.length !== 0 ) ||\n\t\t\t\t( material.displacementMap && material.displacementScale !== 0 ) ||\n\t\t\t\t( material.alphaMap && material.alphaTest > 0 ) ||\n\t\t\t\t( material.map && material.alphaTest > 0 ) ) {\n\n\t\t\t\t// in this case we need a unique material instance reflecting the\n\t\t\t\t// appropriate state\n\n\t\t\t\tconst keyA = result.uuid, keyB = material.uuid;\n\n\t\t\t\tlet materialsForVariant = _materialCache[ keyA ];\n\n\t\t\t\tif ( materialsForVariant === undefined ) {\n\n\t\t\t\t\tmaterialsForVariant = {};\n\t\t\t\t\t_materialCache[ keyA ] = materialsForVariant;\n\n\t\t\t\t}\n\n\t\t\t\tlet cachedMaterial = materialsForVariant[ keyB ];\n\n\t\t\t\tif ( cachedMaterial === undefined ) {\n\n\t\t\t\t\tcachedMaterial = result.clone();\n\t\t\t\t\tmaterialsForVariant[ keyB ] = cachedMaterial;\n\t\t\t\t\tmaterial.addEventListener( 'dispose', onMaterialDispose );\n\n\t\t\t\t}\n\n\t\t\t\tresult = cachedMaterial;\n\n\t\t\t}\n\n\t\t}\n\n\t\tresult.visible = material.visible;\n\t\tresult.wireframe = material.wireframe;\n\n\t\tif ( type === VSMShadowMap ) {\n\n\t\t\tresult.side = ( material.shadowSide !== null ) ? material.shadowSide : material.side;\n\n\t\t} else {\n\n\t\t\tresult.side = ( material.shadowSide !== null ) ? material.shadowSide : shadowSide[ material.side ];\n\n\t\t}\n\n\t\tresult.alphaMap = material.alphaMap;\n\t\tresult.alphaTest = material.alphaTest;\n\t\tresult.map = material.map;\n\n\t\tresult.clipShadows = material.clipShadows;\n\t\tresult.clippingPlanes = material.clippingPlanes;\n\t\tresult.clipIntersection = material.clipIntersection;\n\n\t\tresult.displacementMap = material.displacementMap;\n\t\tresult.displacementScale = material.displacementScale;\n\t\tresult.displacementBias = material.displacementBias;\n\n\t\tresult.wireframeLinewidth = material.wireframeLinewidth;\n\t\tresult.linewidth = material.linewidth;\n\n\t\tif ( light.isPointLight === true && result.isMeshDistanceMaterial === true ) {\n\n\t\t\tconst materialProperties = _renderer.properties.get( result );\n\t\t\tmaterialProperties.light = light;\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\tfunction renderObject( object, camera, shadowCamera, light, type ) {\n\n\t\tif ( object.visible === false ) return;\n\n\t\tconst visible = object.layers.test( camera.layers );\n\n\t\tif ( visible && ( object.isMesh || object.isLine || object.isPoints ) ) {\n\n\t\t\tif ( ( object.castShadow || ( object.receiveShadow && type === VSMShadowMap ) ) && ( ! object.frustumCulled || _frustum.intersectsObject( object ) ) ) {\n\n\t\t\t\tobject.modelViewMatrix.multiplyMatrices( shadowCamera.matrixWorldInverse, object.matrixWorld );\n\n\t\t\t\tconst geometry = _objects.update( object );\n\t\t\t\tconst material = object.material;\n\n\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\tconst groups = geometry.groups;\n\n\t\t\t\t\tfor ( let k = 0, kl = groups.length; k < kl; k ++ ) {\n\n\t\t\t\t\t\tconst group = groups[ k ];\n\t\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\t\tif ( groupMaterial && groupMaterial.visible ) {\n\n\t\t\t\t\t\t\tconst depthMaterial = getDepthMaterial( object, groupMaterial, light, type );\n\n\t\t\t\t\t\t\tobject.onBeforeShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, group );\n\n\t\t\t\t\t\t\t_renderer.renderBufferDirect( shadowCamera, null, geometry, depthMaterial, object, group );\n\n\t\t\t\t\t\t\tobject.onAfterShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, group );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( material.visible ) {\n\n\t\t\t\t\tconst depthMaterial = getDepthMaterial( object, material, light, type );\n\n\t\t\t\t\tobject.onBeforeShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, null );\n\n\t\t\t\t\t_renderer.renderBufferDirect( shadowCamera, null, geometry, depthMaterial, object, null );\n\n\t\t\t\t\tobject.onAfterShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, null );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\trenderObject( children[ i ], camera, shadowCamera, light, type );\n\n\t\t}\n\n\t}\n\n\tfunction onMaterialDispose( event ) {\n\n\t\tconst material = event.target;\n\n\t\tmaterial.removeEventListener( 'dispose', onMaterialDispose );\n\n\t\t// make sure to remove the unique distance/depth materials used for shadow map rendering\n\n\t\tfor ( const id in _materialCache ) {\n\n\t\t\tconst cache = _materialCache[ id ];\n\n\t\t\tconst uuid = event.target.uuid;\n\n\t\t\tif ( uuid in cache ) {\n\n\t\t\t\tconst shadowMaterial = cache[ uuid ];\n\t\t\t\tshadowMaterial.dispose();\n\t\t\t\tdelete cache[ uuid ];\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction WebGLState( gl, extensions, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tfunction ColorBuffer() {\n\n\t\tlet locked = false;\n\n\t\tconst color = new Vector4();\n\t\tlet currentColorMask = null;\n\t\tconst currentColorClear = new Vector4( 0, 0, 0, 0 );\n\n\t\treturn {\n\n\t\t\tsetMask: function ( colorMask ) {\n\n\t\t\t\tif ( currentColorMask !== colorMask && ! locked ) {\n\n\t\t\t\t\tgl.colorMask( colorMask, colorMask, colorMask, colorMask );\n\t\t\t\t\tcurrentColorMask = colorMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( r, g, b, a, premultipliedAlpha ) {\n\n\t\t\t\tif ( premultipliedAlpha === true ) {\n\n\t\t\t\t\tr *= a; g *= a; b *= a;\n\n\t\t\t\t}\n\n\t\t\t\tcolor.set( r, g, b, a );\n\n\t\t\t\tif ( currentColorClear.equals( color ) === false ) {\n\n\t\t\t\t\tgl.clearColor( r, g, b, a );\n\t\t\t\t\tcurrentColorClear.copy( color );\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentColorMask = null;\n\t\t\t\tcurrentColorClear.set( - 1, 0, 0, 0 ); // set to invalid state\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tfunction DepthBuffer() {\n\n\t\tlet locked = false;\n\n\t\tlet currentDepthMask = null;\n\t\tlet currentDepthFunc = null;\n\t\tlet currentDepthClear = null;\n\n\t\treturn {\n\n\t\t\tsetTest: function ( depthTest ) {\n\n\t\t\t\tif ( depthTest ) {\n\n\t\t\t\t\tenable( gl.DEPTH_TEST );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tdisable( gl.DEPTH_TEST );\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetMask: function ( depthMask ) {\n\n\t\t\t\tif ( currentDepthMask !== depthMask && ! locked ) {\n\n\t\t\t\t\tgl.depthMask( depthMask );\n\t\t\t\t\tcurrentDepthMask = depthMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetFunc: function ( depthFunc ) {\n\n\t\t\t\tif ( currentDepthFunc !== depthFunc ) {\n\n\t\t\t\t\tswitch ( depthFunc ) {\n\n\t\t\t\t\t\tcase NeverDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.NEVER );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AlwaysDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.ALWAYS );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase LessDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LESS );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase LessEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase EqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.EQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase GreaterEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.GEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase GreaterDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.GREATER );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase NotEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.NOTEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LEQUAL );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcurrentDepthFunc = depthFunc;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( depth ) {\n\n\t\t\t\tif ( currentDepthClear !== depth ) {\n\n\t\t\t\t\tgl.clearDepth( depth );\n\t\t\t\t\tcurrentDepthClear = depth;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentDepthMask = null;\n\t\t\t\tcurrentDepthFunc = null;\n\t\t\t\tcurrentDepthClear = null;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tfunction StencilBuffer() {\n\n\t\tlet locked = false;\n\n\t\tlet currentStencilMask = null;\n\t\tlet currentStencilFunc = null;\n\t\tlet currentStencilRef = null;\n\t\tlet currentStencilFuncMask = null;\n\t\tlet currentStencilFail = null;\n\t\tlet currentStencilZFail = null;\n\t\tlet currentStencilZPass = null;\n\t\tlet currentStencilClear = null;\n\n\t\treturn {\n\n\t\t\tsetTest: function ( stencilTest ) {\n\n\t\t\t\tif ( ! locked ) {\n\n\t\t\t\t\tif ( stencilTest ) {\n\n\t\t\t\t\t\tenable( gl.STENCIL_TEST );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tdisable( gl.STENCIL_TEST );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetMask: function ( stencilMask ) {\n\n\t\t\t\tif ( currentStencilMask !== stencilMask && ! locked ) {\n\n\t\t\t\t\tgl.stencilMask( stencilMask );\n\t\t\t\t\tcurrentStencilMask = stencilMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetFunc: function ( stencilFunc, stencilRef, stencilMask ) {\n\n\t\t\t\tif ( currentStencilFunc !== stencilFunc ||\n\t\t\t\t currentStencilRef !== stencilRef ||\n\t\t\t\t currentStencilFuncMask !== stencilMask ) {\n\n\t\t\t\t\tgl.stencilFunc( stencilFunc, stencilRef, stencilMask );\n\n\t\t\t\t\tcurrentStencilFunc = stencilFunc;\n\t\t\t\t\tcurrentStencilRef = stencilRef;\n\t\t\t\t\tcurrentStencilFuncMask = stencilMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetOp: function ( stencilFail, stencilZFail, stencilZPass ) {\n\n\t\t\t\tif ( currentStencilFail !== stencilFail ||\n\t\t\t\t currentStencilZFail !== stencilZFail ||\n\t\t\t\t currentStencilZPass !== stencilZPass ) {\n\n\t\t\t\t\tgl.stencilOp( stencilFail, stencilZFail, stencilZPass );\n\n\t\t\t\t\tcurrentStencilFail = stencilFail;\n\t\t\t\t\tcurrentStencilZFail = stencilZFail;\n\t\t\t\t\tcurrentStencilZPass = stencilZPass;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( stencil ) {\n\n\t\t\t\tif ( currentStencilClear !== stencil ) {\n\n\t\t\t\t\tgl.clearStencil( stencil );\n\t\t\t\t\tcurrentStencilClear = stencil;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentStencilMask = null;\n\t\t\t\tcurrentStencilFunc = null;\n\t\t\t\tcurrentStencilRef = null;\n\t\t\t\tcurrentStencilFuncMask = null;\n\t\t\t\tcurrentStencilFail = null;\n\t\t\t\tcurrentStencilZFail = null;\n\t\t\t\tcurrentStencilZPass = null;\n\t\t\t\tcurrentStencilClear = null;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\t//\n\n\tconst colorBuffer = new ColorBuffer();\n\tconst depthBuffer = new DepthBuffer();\n\tconst stencilBuffer = new StencilBuffer();\n\n\tconst uboBindings = new WeakMap();\n\tconst uboProgramMap = new WeakMap();\n\n\tlet enabledCapabilities = {};\n\n\tlet currentBoundFramebuffers = {};\n\tlet currentDrawbuffers = new WeakMap();\n\tlet defaultDrawbuffers = [];\n\n\tlet currentProgram = null;\n\n\tlet currentBlendingEnabled = false;\n\tlet currentBlending = null;\n\tlet currentBlendEquation = null;\n\tlet currentBlendSrc = null;\n\tlet currentBlendDst = null;\n\tlet currentBlendEquationAlpha = null;\n\tlet currentBlendSrcAlpha = null;\n\tlet currentBlendDstAlpha = null;\n\tlet currentBlendColor = new Color( 0, 0, 0 );\n\tlet currentBlendAlpha = 0;\n\tlet currentPremultipledAlpha = false;\n\n\tlet currentFlipSided = null;\n\tlet currentCullFace = null;\n\n\tlet currentLineWidth = null;\n\n\tlet currentPolygonOffsetFactor = null;\n\tlet currentPolygonOffsetUnits = null;\n\n\tconst maxTextures = gl.getParameter( gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS );\n\n\tlet lineWidthAvailable = false;\n\tlet version = 0;\n\tconst glVersion = gl.getParameter( gl.VERSION );\n\n\tif ( glVersion.indexOf( 'WebGL' ) !== - 1 ) {\n\n\t\tversion = parseFloat( /^WebGL (\\d)/.exec( glVersion )[ 1 ] );\n\t\tlineWidthAvailable = ( version >= 1.0 );\n\n\t} else if ( glVersion.indexOf( 'OpenGL ES' ) !== - 1 ) {\n\n\t\tversion = parseFloat( /^OpenGL ES (\\d)/.exec( glVersion )[ 1 ] );\n\t\tlineWidthAvailable = ( version >= 2.0 );\n\n\t}\n\n\tlet currentTextureSlot = null;\n\tlet currentBoundTextures = {};\n\n\tconst scissorParam = gl.getParameter( gl.SCISSOR_BOX );\n\tconst viewportParam = gl.getParameter( gl.VIEWPORT );\n\n\tconst currentScissor = new Vector4().fromArray( scissorParam );\n\tconst currentViewport = new Vector4().fromArray( viewportParam );\n\n\tfunction createTexture( type, target, count, dimensions ) {\n\n\t\tconst data = new Uint8Array( 4 ); // 4 is required to match default unpack alignment of 4.\n\t\tconst texture = gl.createTexture();\n\n\t\tgl.bindTexture( type, texture );\n\t\tgl.texParameteri( type, gl.TEXTURE_MIN_FILTER, gl.NEAREST );\n\t\tgl.texParameteri( type, gl.TEXTURE_MAG_FILTER, gl.NEAREST );\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tif ( isWebGL2 && ( type === gl.TEXTURE_3D || type === gl.TEXTURE_2D_ARRAY ) ) {\n\n\t\t\t\tgl.texImage3D( target, 0, gl.RGBA, 1, 1, dimensions, 0, gl.RGBA, gl.UNSIGNED_BYTE, data );\n\n\t\t\t} else {\n\n\t\t\t\tgl.texImage2D( target + i, 0, gl.RGBA, 1, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE, data );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tconst emptyTextures = {};\n\temptyTextures[ gl.TEXTURE_2D ] = createTexture( gl.TEXTURE_2D, gl.TEXTURE_2D, 1 );\n\temptyTextures[ gl.TEXTURE_CUBE_MAP ] = createTexture( gl.TEXTURE_CUBE_MAP, gl.TEXTURE_CUBE_MAP_POSITIVE_X, 6 );\n\n\tif ( isWebGL2 ) {\n\n\t\temptyTextures[ gl.TEXTURE_2D_ARRAY ] = createTexture( gl.TEXTURE_2D_ARRAY, gl.TEXTURE_2D_ARRAY, 1, 1 );\n\t\temptyTextures[ gl.TEXTURE_3D ] = createTexture( gl.TEXTURE_3D, gl.TEXTURE_3D, 1, 1 );\n\n\t}\n\n\t// init\n\n\tcolorBuffer.setClear( 0, 0, 0, 1 );\n\tdepthBuffer.setClear( 1 );\n\tstencilBuffer.setClear( 0 );\n\n\tenable( gl.DEPTH_TEST );\n\tdepthBuffer.setFunc( LessEqualDepth );\n\n\tsetFlipSided( false );\n\tsetCullFace( CullFaceBack );\n\tenable( gl.CULL_FACE );\n\n\tsetBlending( NoBlending );\n\n\t//\n\n\tfunction enable( id ) {\n\n\t\tif ( enabledCapabilities[ id ] !== true ) {\n\n\t\t\tgl.enable( id );\n\t\t\tenabledCapabilities[ id ] = true;\n\n\t\t}\n\n\t}\n\n\tfunction disable( id ) {\n\n\t\tif ( enabledCapabilities[ id ] !== false ) {\n\n\t\t\tgl.disable( id );\n\t\t\tenabledCapabilities[ id ] = false;\n\n\t\t}\n\n\t}\n\n\tfunction bindFramebuffer( target, framebuffer ) {\n\n\t\tif ( currentBoundFramebuffers[ target ] !== framebuffer ) {\n\n\t\t\tgl.bindFramebuffer( target, framebuffer );\n\n\t\t\tcurrentBoundFramebuffers[ target ] = framebuffer;\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t// gl.DRAW_FRAMEBUFFER is equivalent to gl.FRAMEBUFFER\n\n\t\t\t\tif ( target === gl.DRAW_FRAMEBUFFER ) {\n\n\t\t\t\t\tcurrentBoundFramebuffers[ gl.FRAMEBUFFER ] = framebuffer;\n\n\t\t\t\t}\n\n\t\t\t\tif ( target === gl.FRAMEBUFFER ) {\n\n\t\t\t\t\tcurrentBoundFramebuffers[ gl.DRAW_FRAMEBUFFER ] = framebuffer;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tfunction drawBuffers( renderTarget, framebuffer ) {\n\n\t\tlet drawBuffers = defaultDrawbuffers;\n\n\t\tlet needsUpdate = false;\n\n\t\tif ( renderTarget ) {\n\n\t\t\tdrawBuffers = currentDrawbuffers.get( framebuffer );\n\n\t\t\tif ( drawBuffers === undefined ) {\n\n\t\t\t\tdrawBuffers = [];\n\t\t\t\tcurrentDrawbuffers.set( framebuffer, drawBuffers );\n\n\t\t\t}\n\n\t\t\tif ( renderTarget.isWebGLMultipleRenderTargets ) {\n\n\t\t\t\tconst textures = renderTarget.texture;\n\n\t\t\t\tif ( drawBuffers.length !== textures.length || drawBuffers[ 0 ] !== gl.COLOR_ATTACHMENT0 ) {\n\n\t\t\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tdrawBuffers[ i ] = gl.COLOR_ATTACHMENT0 + i;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tdrawBuffers.length = textures.length;\n\n\t\t\t\t\tneedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( drawBuffers[ 0 ] !== gl.COLOR_ATTACHMENT0 ) {\n\n\t\t\t\t\tdrawBuffers[ 0 ] = gl.COLOR_ATTACHMENT0;\n\n\t\t\t\t\tneedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( drawBuffers[ 0 ] !== gl.BACK ) {\n\n\t\t\t\tdrawBuffers[ 0 ] = gl.BACK;\n\n\t\t\t\tneedsUpdate = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( needsUpdate ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\tgl.drawBuffers( drawBuffers );\n\n\t\t\t} else {\n\n\t\t\t\textensions.get( 'WEBGL_draw_buffers' ).drawBuffersWEBGL( drawBuffers );\n\n\t\t\t}\n\n\t\t}\n\n\n\t}\n\n\tfunction useProgram( program ) {\n\n\t\tif ( currentProgram !== program ) {\n\n\t\t\tgl.useProgram( program );\n\n\t\t\tcurrentProgram = program;\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tconst equationToGL = {\n\t\t[ AddEquation ]: gl.FUNC_ADD,\n\t\t[ SubtractEquation ]: gl.FUNC_SUBTRACT,\n\t\t[ ReverseSubtractEquation ]: gl.FUNC_REVERSE_SUBTRACT\n\t};\n\n\tif ( isWebGL2 ) {\n\n\t\tequationToGL[ MinEquation ] = gl.MIN;\n\t\tequationToGL[ MaxEquation ] = gl.MAX;\n\n\t} else {\n\n\t\tconst extension = extensions.get( 'EXT_blend_minmax' );\n\n\t\tif ( extension !== null ) {\n\n\t\t\tequationToGL[ MinEquation ] = extension.MIN_EXT;\n\t\t\tequationToGL[ MaxEquation ] = extension.MAX_EXT;\n\n\t\t}\n\n\t}\n\n\tconst factorToGL = {\n\t\t[ ZeroFactor ]: gl.ZERO,\n\t\t[ OneFactor ]: gl.ONE,\n\t\t[ SrcColorFactor ]: gl.SRC_COLOR,\n\t\t[ SrcAlphaFactor ]: gl.SRC_ALPHA,\n\t\t[ SrcAlphaSaturateFactor ]: gl.SRC_ALPHA_SATURATE,\n\t\t[ DstColorFactor ]: gl.DST_COLOR,\n\t\t[ DstAlphaFactor ]: gl.DST_ALPHA,\n\t\t[ OneMinusSrcColorFactor ]: gl.ONE_MINUS_SRC_COLOR,\n\t\t[ OneMinusSrcAlphaFactor ]: gl.ONE_MINUS_SRC_ALPHA,\n\t\t[ OneMinusDstColorFactor ]: gl.ONE_MINUS_DST_COLOR,\n\t\t[ OneMinusDstAlphaFactor ]: gl.ONE_MINUS_DST_ALPHA,\n\t\t[ ConstantColorFactor ]: gl.CONSTANT_COLOR,\n\t\t[ OneMinusConstantColorFactor ]: gl.ONE_MINUS_CONSTANT_COLOR,\n\t\t[ ConstantAlphaFactor ]: gl.CONSTANT_ALPHA,\n\t\t[ OneMinusConstantAlphaFactor ]: gl.ONE_MINUS_CONSTANT_ALPHA\n\t};\n\n\tfunction setBlending( blending, blendEquation, blendSrc, blendDst, blendEquationAlpha, blendSrcAlpha, blendDstAlpha, blendColor, blendAlpha, premultipliedAlpha ) {\n\n\t\tif ( blending === NoBlending ) {\n\n\t\t\tif ( currentBlendingEnabled === true ) {\n\n\t\t\t\tdisable( gl.BLEND );\n\t\t\t\tcurrentBlendingEnabled = false;\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( currentBlendingEnabled === false ) {\n\n\t\t\tenable( gl.BLEND );\n\t\t\tcurrentBlendingEnabled = true;\n\n\t\t}\n\n\t\tif ( blending !== CustomBlending ) {\n\n\t\t\tif ( blending !== currentBlending || premultipliedAlpha !== currentPremultipledAlpha ) {\n\n\t\t\t\tif ( currentBlendEquation !== AddEquation || currentBlendEquationAlpha !== AddEquation ) {\n\n\t\t\t\t\tgl.blendEquation( gl.FUNC_ADD );\n\n\t\t\t\t\tcurrentBlendEquation = AddEquation;\n\t\t\t\t\tcurrentBlendEquationAlpha = AddEquation;\n\n\t\t\t\t}\n\n\t\t\t\tif ( premultipliedAlpha ) {\n\n\t\t\t\t\tswitch ( blending ) {\n\n\t\t\t\t\t\tcase NormalBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ONE, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AdditiveBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.ONE, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase SubtractiveBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ZERO, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase MultiplyBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.SRC_COLOR, gl.ZERO, gl.SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tconsole.error( 'THREE.WebGLState: Invalid blending: ', blending );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tswitch ( blending ) {\n\n\t\t\t\t\t\tcase NormalBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.SRC_ALPHA, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AdditiveBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.SRC_ALPHA, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase SubtractiveBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ZERO, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase MultiplyBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.ZERO, gl.SRC_COLOR );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tconsole.error( 'THREE.WebGLState: Invalid blending: ', blending );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tcurrentBlendSrc = null;\n\t\t\t\tcurrentBlendDst = null;\n\t\t\t\tcurrentBlendSrcAlpha = null;\n\t\t\t\tcurrentBlendDstAlpha = null;\n\t\t\t\tcurrentBlendColor.set( 0, 0, 0 );\n\t\t\t\tcurrentBlendAlpha = 0;\n\n\t\t\t\tcurrentBlending = blending;\n\t\t\t\tcurrentPremultipledAlpha = premultipliedAlpha;\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// custom blending\n\n\t\tblendEquationAlpha = blendEquationAlpha || blendEquation;\n\t\tblendSrcAlpha = blendSrcAlpha || blendSrc;\n\t\tblendDstAlpha = blendDstAlpha || blendDst;\n\n\t\tif ( blendEquation !== currentBlendEquation || blendEquationAlpha !== currentBlendEquationAlpha ) {\n\n\t\t\tgl.blendEquationSeparate( equationToGL[ blendEquation ], equationToGL[ blendEquationAlpha ] );\n\n\t\t\tcurrentBlendEquation = blendEquation;\n\t\t\tcurrentBlendEquationAlpha = blendEquationAlpha;\n\n\t\t}\n\n\t\tif ( blendSrc !== currentBlendSrc || blendDst !== currentBlendDst || blendSrcAlpha !== currentBlendSrcAlpha || blendDstAlpha !== currentBlendDstAlpha ) {\n\n\t\t\tgl.blendFuncSeparate( factorToGL[ blendSrc ], factorToGL[ blendDst ], factorToGL[ blendSrcAlpha ], factorToGL[ blendDstAlpha ] );\n\n\t\t\tcurrentBlendSrc = blendSrc;\n\t\t\tcurrentBlendDst = blendDst;\n\t\t\tcurrentBlendSrcAlpha = blendSrcAlpha;\n\t\t\tcurrentBlendDstAlpha = blendDstAlpha;\n\n\t\t}\n\n\t\tif ( blendColor.equals( currentBlendColor ) === false || blendAlpha !== currentBlendAlpha ) {\n\n\t\t\tgl.blendColor( blendColor.r, blendColor.g, blendColor.b, blendAlpha );\n\n\t\t\tcurrentBlendColor.copy( blendColor );\n\t\t\tcurrentBlendAlpha = blendAlpha;\n\n\t\t}\n\n\t\tcurrentBlending = blending;\n\t\tcurrentPremultipledAlpha = false;\n\n\t}\n\n\tfunction setMaterial( material, frontFaceCW ) {\n\n\t\tmaterial.side === DoubleSide\n\t\t\t? disable( gl.CULL_FACE )\n\t\t\t: enable( gl.CULL_FACE );\n\n\t\tlet flipSided = ( material.side === BackSide );\n\t\tif ( frontFaceCW ) flipSided = ! flipSided;\n\n\t\tsetFlipSided( flipSided );\n\n\t\t( material.blending === NormalBlending && material.transparent === false )\n\t\t\t? setBlending( NoBlending )\n\t\t\t: setBlending( material.blending, material.blendEquation, material.blendSrc, material.blendDst, material.blendEquationAlpha, material.blendSrcAlpha, material.blendDstAlpha, material.blendColor, material.blendAlpha, material.premultipliedAlpha );\n\n\t\tdepthBuffer.setFunc( material.depthFunc );\n\t\tdepthBuffer.setTest( material.depthTest );\n\t\tdepthBuffer.setMask( material.depthWrite );\n\t\tcolorBuffer.setMask( material.colorWrite );\n\n\t\tconst stencilWrite = material.stencilWrite;\n\t\tstencilBuffer.setTest( stencilWrite );\n\t\tif ( stencilWrite ) {\n\n\t\t\tstencilBuffer.setMask( material.stencilWriteMask );\n\t\t\tstencilBuffer.setFunc( material.stencilFunc, material.stencilRef, material.stencilFuncMask );\n\t\t\tstencilBuffer.setOp( material.stencilFail, material.stencilZFail, material.stencilZPass );\n\n\t\t}\n\n\t\tsetPolygonOffset( material.polygonOffset, material.polygonOffsetFactor, material.polygonOffsetUnits );\n\n\t\tmaterial.alphaToCoverage === true\n\t\t\t? enable( gl.SAMPLE_ALPHA_TO_COVERAGE )\n\t\t\t: disable( gl.SAMPLE_ALPHA_TO_COVERAGE );\n\n\t}\n\n\t//\n\n\tfunction setFlipSided( flipSided ) {\n\n\t\tif ( currentFlipSided !== flipSided ) {\n\n\t\t\tif ( flipSided ) {\n\n\t\t\t\tgl.frontFace( gl.CW );\n\n\t\t\t} else {\n\n\t\t\t\tgl.frontFace( gl.CCW );\n\n\t\t\t}\n\n\t\t\tcurrentFlipSided = flipSided;\n\n\t\t}\n\n\t}\n\n\tfunction setCullFace( cullFace ) {\n\n\t\tif ( cullFace !== CullFaceNone ) {\n\n\t\t\tenable( gl.CULL_FACE );\n\n\t\t\tif ( cullFace !== currentCullFace ) {\n\n\t\t\t\tif ( cullFace === CullFaceBack ) {\n\n\t\t\t\t\tgl.cullFace( gl.BACK );\n\n\t\t\t\t} else if ( cullFace === CullFaceFront ) {\n\n\t\t\t\t\tgl.cullFace( gl.FRONT );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tgl.cullFace( gl.FRONT_AND_BACK );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tdisable( gl.CULL_FACE );\n\n\t\t}\n\n\t\tcurrentCullFace = cullFace;\n\n\t}\n\n\tfunction setLineWidth( width ) {\n\n\t\tif ( width !== currentLineWidth ) {\n\n\t\t\tif ( lineWidthAvailable ) gl.lineWidth( width );\n\n\t\t\tcurrentLineWidth = width;\n\n\t\t}\n\n\t}\n\n\tfunction setPolygonOffset( polygonOffset, factor, units ) {\n\n\t\tif ( polygonOffset ) {\n\n\t\t\tenable( gl.POLYGON_OFFSET_FILL );\n\n\t\t\tif ( currentPolygonOffsetFactor !== factor || currentPolygonOffsetUnits !== units ) {\n\n\t\t\t\tgl.polygonOffset( factor, units );\n\n\t\t\t\tcurrentPolygonOffsetFactor = factor;\n\t\t\t\tcurrentPolygonOffsetUnits = units;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tdisable( gl.POLYGON_OFFSET_FILL );\n\n\t\t}\n\n\t}\n\n\tfunction setScissorTest( scissorTest ) {\n\n\t\tif ( scissorTest ) {\n\n\t\t\tenable( gl.SCISSOR_TEST );\n\n\t\t} else {\n\n\t\t\tdisable( gl.SCISSOR_TEST );\n\n\t\t}\n\n\t}\n\n\t// texture\n\n\tfunction activeTexture( webglSlot ) {\n\n\t\tif ( webglSlot === undefined ) webglSlot = gl.TEXTURE0 + maxTextures - 1;\n\n\t\tif ( currentTextureSlot !== webglSlot ) {\n\n\t\t\tgl.activeTexture( webglSlot );\n\t\t\tcurrentTextureSlot = webglSlot;\n\n\t\t}\n\n\t}\n\n\tfunction bindTexture( webglType, webglTexture, webglSlot ) {\n\n\t\tif ( webglSlot === undefined ) {\n\n\t\t\tif ( currentTextureSlot === null ) {\n\n\t\t\t\twebglSlot = gl.TEXTURE0 + maxTextures - 1;\n\n\t\t\t} else {\n\n\t\t\t\twebglSlot = currentTextureSlot;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlet boundTexture = currentBoundTextures[ webglSlot ];\n\n\t\tif ( boundTexture === undefined ) {\n\n\t\t\tboundTexture = { type: undefined, texture: undefined };\n\t\t\tcurrentBoundTextures[ webglSlot ] = boundTexture;\n\n\t\t}\n\n\t\tif ( boundTexture.type !== webglType || boundTexture.texture !== webglTexture ) {\n\n\t\t\tif ( currentTextureSlot !== webglSlot ) {\n\n\t\t\t\tgl.activeTexture( webglSlot );\n\t\t\t\tcurrentTextureSlot = webglSlot;\n\n\t\t\t}\n\n\t\t\tgl.bindTexture( webglType, webglTexture || emptyTextures[ webglType ] );\n\n\t\t\tboundTexture.type = webglType;\n\t\t\tboundTexture.texture = webglTexture;\n\n\t\t}\n\n\t}\n\n\tfunction unbindTexture() {\n\n\t\tconst boundTexture = currentBoundTextures[ currentTextureSlot ];\n\n\t\tif ( boundTexture !== undefined && boundTexture.type !== undefined ) {\n\n\t\t\tgl.bindTexture( boundTexture.type, null );\n\n\t\t\tboundTexture.type = undefined;\n\t\t\tboundTexture.texture = undefined;\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texSubImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texSubImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texSubImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texSubImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexSubImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexSubImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexSubImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexSubImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texStorage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texStorage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texStorage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texStorage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tfunction scissor( scissor ) {\n\n\t\tif ( currentScissor.equals( scissor ) === false ) {\n\n\t\t\tgl.scissor( scissor.x, scissor.y, scissor.z, scissor.w );\n\t\t\tcurrentScissor.copy( scissor );\n\n\t\t}\n\n\t}\n\n\tfunction viewport( viewport ) {\n\n\t\tif ( currentViewport.equals( viewport ) === false ) {\n\n\t\t\tgl.viewport( viewport.x, viewport.y, viewport.z, viewport.w );\n\t\t\tcurrentViewport.copy( viewport );\n\n\t\t}\n\n\t}\n\n\tfunction updateUBOMapping( uniformsGroup, program ) {\n\n\t\tlet mapping = uboProgramMap.get( program );\n\n\t\tif ( mapping === undefined ) {\n\n\t\t\tmapping = new WeakMap();\n\n\t\t\tuboProgramMap.set( program, mapping );\n\n\t\t}\n\n\t\tlet blockIndex = mapping.get( uniformsGroup );\n\n\t\tif ( blockIndex === undefined ) {\n\n\t\t\tblockIndex = gl.getUniformBlockIndex( program, uniformsGroup.name );\n\n\t\t\tmapping.set( uniformsGroup, blockIndex );\n\n\t\t}\n\n\t}\n\n\tfunction uniformBlockBinding( uniformsGroup, program ) {\n\n\t\tconst mapping = uboProgramMap.get( program );\n\t\tconst blockIndex = mapping.get( uniformsGroup );\n\n\t\tif ( uboBindings.get( program ) !== blockIndex ) {\n\n\t\t\t// bind shader specific block index to global block point\n\t\t\tgl.uniformBlockBinding( program, blockIndex, uniformsGroup.__bindingPointIndex );\n\n\t\t\tuboBindings.set( program, blockIndex );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tfunction reset() {\n\n\t\t// reset state\n\n\t\tgl.disable( gl.BLEND );\n\t\tgl.disable( gl.CULL_FACE );\n\t\tgl.disable( gl.DEPTH_TEST );\n\t\tgl.disable( gl.POLYGON_OFFSET_FILL );\n\t\tgl.disable( gl.SCISSOR_TEST );\n\t\tgl.disable( gl.STENCIL_TEST );\n\t\tgl.disable( gl.SAMPLE_ALPHA_TO_COVERAGE );\n\n\t\tgl.blendEquation( gl.FUNC_ADD );\n\t\tgl.blendFunc( gl.ONE, gl.ZERO );\n\t\tgl.blendFuncSeparate( gl.ONE, gl.ZERO, gl.ONE, gl.ZERO );\n\t\tgl.blendColor( 0, 0, 0, 0 );\n\n\t\tgl.colorMask( true, true, true, true );\n\t\tgl.clearColor( 0, 0, 0, 0 );\n\n\t\tgl.depthMask( true );\n\t\tgl.depthFunc( gl.LESS );\n\t\tgl.clearDepth( 1 );\n\n\t\tgl.stencilMask( 0xffffffff );\n\t\tgl.stencilFunc( gl.ALWAYS, 0, 0xffffffff );\n\t\tgl.stencilOp( gl.KEEP, gl.KEEP, gl.KEEP );\n\t\tgl.clearStencil( 0 );\n\n\t\tgl.cullFace( gl.BACK );\n\t\tgl.frontFace( gl.CCW );\n\n\t\tgl.polygonOffset( 0, 0 );\n\n\t\tgl.activeTexture( gl.TEXTURE0 );\n\n\t\tgl.bindFramebuffer( gl.FRAMEBUFFER, null );\n\n\t\tif ( isWebGL2 === true ) {\n\n\t\t\tgl.bindFramebuffer( gl.DRAW_FRAMEBUFFER, null );\n\t\t\tgl.bindFramebuffer( gl.READ_FRAMEBUFFER, null );\n\n\t\t}\n\n\t\tgl.useProgram( null );\n\n\t\tgl.lineWidth( 1 );\n\n\t\tgl.scissor( 0, 0, gl.canvas.width, gl.canvas.height );\n\t\tgl.viewport( 0, 0, gl.canvas.width, gl.canvas.height );\n\n\t\t// reset internals\n\n\t\tenabledCapabilities = {};\n\n\t\tcurrentTextureSlot = null;\n\t\tcurrentBoundTextures = {};\n\n\t\tcurrentBoundFramebuffers = {};\n\t\tcurrentDrawbuffers = new WeakMap();\n\t\tdefaultDrawbuffers = [];\n\n\t\tcurrentProgram = null;\n\n\t\tcurrentBlendingEnabled = false;\n\t\tcurrentBlending = null;\n\t\tcurrentBlendEquation = null;\n\t\tcurrentBlendSrc = null;\n\t\tcurrentBlendDst = null;\n\t\tcurrentBlendEquationAlpha = null;\n\t\tcurrentBlendSrcAlpha = null;\n\t\tcurrentBlendDstAlpha = null;\n\t\tcurrentBlendColor = new Color( 0, 0, 0 );\n\t\tcurrentBlendAlpha = 0;\n\t\tcurrentPremultipledAlpha = false;\n\n\t\tcurrentFlipSided = null;\n\t\tcurrentCullFace = null;\n\n\t\tcurrentLineWidth = null;\n\n\t\tcurrentPolygonOffsetFactor = null;\n\t\tcurrentPolygonOffsetUnits = null;\n\n\t\tcurrentScissor.set( 0, 0, gl.canvas.width, gl.canvas.height );\n\t\tcurrentViewport.set( 0, 0, gl.canvas.width, gl.canvas.height );\n\n\t\tcolorBuffer.reset();\n\t\tdepthBuffer.reset();\n\t\tstencilBuffer.reset();\n\n\t}\n\n\treturn {\n\n\t\tbuffers: {\n\t\t\tcolor: colorBuffer,\n\t\t\tdepth: depthBuffer,\n\t\t\tstencil: stencilBuffer\n\t\t},\n\n\t\tenable: enable,\n\t\tdisable: disable,\n\n\t\tbindFramebuffer: bindFramebuffer,\n\t\tdrawBuffers: drawBuffers,\n\n\t\tuseProgram: useProgram,\n\n\t\tsetBlending: setBlending,\n\t\tsetMaterial: setMaterial,\n\n\t\tsetFlipSided: setFlipSided,\n\t\tsetCullFace: setCullFace,\n\n\t\tsetLineWidth: setLineWidth,\n\t\tsetPolygonOffset: setPolygonOffset,\n\n\t\tsetScissorTest: setScissorTest,\n\n\t\tactiveTexture: activeTexture,\n\t\tbindTexture: bindTexture,\n\t\tunbindTexture: unbindTexture,\n\t\tcompressedTexImage2D: compressedTexImage2D,\n\t\tcompressedTexImage3D: compressedTexImage3D,\n\t\ttexImage2D: texImage2D,\n\t\ttexImage3D: texImage3D,\n\n\t\tupdateUBOMapping: updateUBOMapping,\n\t\tuniformBlockBinding: uniformBlockBinding,\n\n\t\ttexStorage2D: texStorage2D,\n\t\ttexStorage3D: texStorage3D,\n\t\ttexSubImage2D: texSubImage2D,\n\t\ttexSubImage3D: texSubImage3D,\n\t\tcompressedTexSubImage2D: compressedTexSubImage2D,\n\t\tcompressedTexSubImage3D: compressedTexSubImage3D,\n\n\t\tscissor: scissor,\n\t\tviewport: viewport,\n\n\t\treset: reset\n\n\t};\n\n}\n\nfunction WebGLTextures( _gl, extensions, state, properties, capabilities, utils, info ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\tconst multisampledRTTExt = extensions.has( 'WEBGL_multisampled_render_to_texture' ) ? extensions.get( 'WEBGL_multisampled_render_to_texture' ) : null;\n\tconst supportsInvalidateFramebuffer = typeof navigator === 'undefined' ? false : /OculusBrowser/g.test( navigator.userAgent );\n\n\tconst _videoTextures = new WeakMap();\n\tlet _canvas;\n\n\tconst _sources = new WeakMap(); // maps WebglTexture objects to instances of Source\n\n\t// cordova iOS (as of 5.0) still uses UIWebView, which provides OffscreenCanvas,\n\t// also OffscreenCanvas.getContext(\"webgl\"), but not OffscreenCanvas.getContext(\"2d\")!\n\t// Some implementations may only implement OffscreenCanvas partially (e.g. lacking 2d).\n\n\tlet useOffscreenCanvas = false;\n\n\ttry {\n\n\t\tuseOffscreenCanvas = typeof OffscreenCanvas !== 'undefined'\n\t\t\t// eslint-disable-next-line compat/compat\n\t\t\t&& ( new OffscreenCanvas( 1, 1 ).getContext( '2d' ) ) !== null;\n\n\t} catch ( err ) {\n\n\t\t// Ignore any errors\n\n\t}\n\n\tfunction createCanvas( width, height ) {\n\n\t\t// Use OffscreenCanvas when available. Specially needed in web workers\n\n\t\treturn useOffscreenCanvas ?\n\t\t\t// eslint-disable-next-line compat/compat\n\t\t\tnew OffscreenCanvas( width, height ) : createElementNS( 'canvas' );\n\n\t}\n\n\tfunction resizeImage( image, needsPowerOfTwo, needsNewCanvas, maxSize ) {\n\n\t\tlet scale = 1;\n\n\t\t// handle case if texture exceeds max size\n\n\t\tif ( image.width > maxSize || image.height > maxSize ) {\n\n\t\t\tscale = maxSize / Math.max( image.width, image.height );\n\n\t\t}\n\n\t\t// only perform resize if necessary\n\n\t\tif ( scale < 1 || needsPowerOfTwo === true ) {\n\n\t\t\t// only perform resize for certain image types\n\n\t\t\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t\t\tconst floor = needsPowerOfTwo ? floorPowerOfTwo : Math.floor;\n\n\t\t\t\tconst width = floor( scale * image.width );\n\t\t\t\tconst height = floor( scale * image.height );\n\n\t\t\t\tif ( _canvas === undefined ) _canvas = createCanvas( width, height );\n\n\t\t\t\t// cube textures can't reuse the same canvas\n\n\t\t\t\tconst canvas = needsNewCanvas ? createCanvas( width, height ) : _canvas;\n\n\t\t\t\tcanvas.width = width;\n\t\t\t\tcanvas.height = height;\n\n\t\t\t\tconst context = canvas.getContext( '2d' );\n\t\t\t\tcontext.drawImage( image, 0, 0, width, height );\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture has been resized from (' + image.width + 'x' + image.height + ') to (' + width + 'x' + height + ').' );\n\n\t\t\t\treturn canvas;\n\n\t\t\t} else {\n\n\t\t\t\tif ( 'data' in image ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Image in DataTexture is too big (' + image.width + 'x' + image.height + ').' );\n\n\t\t\t\t}\n\n\t\t\t\treturn image;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn image;\n\n\t}\n\n\tfunction isPowerOfTwo$1( image ) {\n\n\t\treturn isPowerOfTwo( image.width ) && isPowerOfTwo( image.height );\n\n\t}\n\n\tfunction textureNeedsPowerOfTwo( texture ) {\n\n\t\tif ( isWebGL2 ) return false;\n\n\t\treturn ( texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping ) ||\n\t\t\t( texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter );\n\n\t}\n\n\tfunction textureNeedsGenerateMipmaps( texture, supportsMips ) {\n\n\t\treturn texture.generateMipmaps && supportsMips &&\n\t\t\ttexture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter;\n\n\t}\n\n\tfunction generateMipmap( target ) {\n\n\t\t_gl.generateMipmap( target );\n\n\t}\n\n\tfunction getInternalFormat( internalFormatName, glFormat, glType, colorSpace, forceLinearTransfer = false ) {\n\n\t\tif ( isWebGL2 === false ) return glFormat;\n\n\t\tif ( internalFormatName !== null ) {\n\n\t\t\tif ( _gl[ internalFormatName ] !== undefined ) return _gl[ internalFormatName ];\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format \\'' + internalFormatName + '\\'' );\n\n\t\t}\n\n\t\tlet internalFormat = glFormat;\n\n\t\tif ( glFormat === _gl.RED ) {\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.R32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.R16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.R8;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RED_INTEGER ) {\n\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.R8UI;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT ) internalFormat = _gl.R16UI;\n\t\t\tif ( glType === _gl.UNSIGNED_INT ) internalFormat = _gl.R32UI;\n\t\t\tif ( glType === _gl.BYTE ) internalFormat = _gl.R8I;\n\t\t\tif ( glType === _gl.SHORT ) internalFormat = _gl.R16I;\n\t\t\tif ( glType === _gl.INT ) internalFormat = _gl.R32I;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RG ) {\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.RG32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.RG16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.RG8;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RGBA ) {\n\n\t\t\tconst transfer = forceLinearTransfer ? LinearTransfer : ColorManagement.getTransfer( colorSpace );\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.RGBA32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.RGBA16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = ( transfer === SRGBTransfer ) ? _gl.SRGB8_ALPHA8 : _gl.RGBA8;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT_4_4_4_4 ) internalFormat = _gl.RGBA4;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT_5_5_5_1 ) internalFormat = _gl.RGB5_A1;\n\n\t\t}\n\n\t\tif ( internalFormat === _gl.R16F || internalFormat === _gl.R32F ||\n\t\t\tinternalFormat === _gl.RG16F || internalFormat === _gl.RG32F ||\n\t\t\tinternalFormat === _gl.RGBA16F || internalFormat === _gl.RGBA32F ) {\n\n\t\t\textensions.get( 'EXT_color_buffer_float' );\n\n\t\t}\n\n\t\treturn internalFormat;\n\n\t}\n\n\tfunction getMipLevels( texture, image, supportsMips ) {\n\n\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) === true || ( texture.isFramebufferTexture && texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter ) ) {\n\n\t\t\treturn Math.log2( Math.max( image.width, image.height ) ) + 1;\n\n\t\t} else if ( texture.mipmaps !== undefined && texture.mipmaps.length > 0 ) {\n\n\t\t\t// user-defined mipmaps\n\n\t\t\treturn texture.mipmaps.length;\n\n\t\t} else if ( texture.isCompressedTexture && Array.isArray( texture.image ) ) {\n\n\t\t\treturn image.mipmaps.length;\n\n\t\t} else {\n\n\t\t\t// texture without mipmaps (only base level)\n\n\t\t\treturn 1;\n\n\t\t}\n\n\t}\n\n\t// Fallback filters for non-power-of-2 textures\n\n\tfunction filterFallback( f ) {\n\n\t\tif ( f === NearestFilter || f === NearestMipmapNearestFilter || f === NearestMipmapLinearFilter ) {\n\n\t\t\treturn _gl.NEAREST;\n\n\t\t}\n\n\t\treturn _gl.LINEAR;\n\n\t}\n\n\t//\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tdeallocateTexture( texture );\n\n\t\tif ( texture.isVideoTexture ) {\n\n\t\t\t_videoTextures.delete( texture );\n\n\t\t}\n\n\t}\n\n\tfunction onRenderTargetDispose( event ) {\n\n\t\tconst renderTarget = event.target;\n\n\t\trenderTarget.removeEventListener( 'dispose', onRenderTargetDispose );\n\n\t\tdeallocateRenderTarget( renderTarget );\n\n\t}\n\n\t//\n\n\tfunction deallocateTexture( texture ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( textureProperties.__webglInit === undefined ) return;\n\n\t\t// check if it's necessary to remove the WebGLTexture object\n\n\t\tconst source = texture.source;\n\t\tconst webglTextures = _sources.get( source );\n\n\t\tif ( webglTextures ) {\n\n\t\t\tconst webglTexture = webglTextures[ textureProperties.__cacheKey ];\n\t\t\twebglTexture.usedTimes --;\n\n\t\t\t// the WebGLTexture object is not used anymore, remove it\n\n\t\t\tif ( webglTexture.usedTimes === 0 ) {\n\n\t\t\t\tdeleteTexture( texture );\n\n\t\t\t}\n\n\t\t\t// remove the weak map entry if no WebGLTexture uses the source anymore\n\n\t\t\tif ( Object.keys( webglTextures ).length === 0 ) {\n\n\t\t\t\t_sources.delete( source );\n\n\t\t\t}\n\n\t\t}\n\n\t\tproperties.remove( texture );\n\n\t}\n\n\tfunction deleteTexture( texture ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\t\t_gl.deleteTexture( textureProperties.__webglTexture );\n\n\t\tconst source = texture.source;\n\t\tconst webglTextures = _sources.get( source );\n\t\tdelete webglTextures[ textureProperties.__cacheKey ];\n\n\t\tinfo.memory.textures --;\n\n\t}\n\n\tfunction deallocateRenderTarget( renderTarget ) {\n\n\t\tconst texture = renderTarget.texture;\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( textureProperties.__webglTexture !== undefined ) {\n\n\t\t\t_gl.deleteTexture( textureProperties.__webglTexture );\n\n\t\t\tinfo.memory.textures --;\n\n\t\t}\n\n\t\tif ( renderTarget.depthTexture ) {\n\n\t\t\trenderTarget.depthTexture.dispose();\n\n\t\t}\n\n\t\tif ( renderTarget.isWebGLCubeRenderTarget ) {\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( Array.isArray( renderTargetProperties.__webglFramebuffer[ i ] ) ) {\n\n\t\t\t\t\tfor ( let level = 0; level < renderTargetProperties.__webglFramebuffer[ i ].length; level ++ ) _gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ i ][ level ] );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( renderTargetProperties.__webglDepthbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthbuffer[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( Array.isArray( renderTargetProperties.__webglFramebuffer ) ) {\n\n\t\t\t\tfor ( let level = 0; level < renderTargetProperties.__webglFramebuffer.length; level ++ ) _gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ level ] );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer );\n\n\t\t\t}\n\n\t\t\tif ( renderTargetProperties.__webglDepthbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthbuffer );\n\t\t\tif ( renderTargetProperties.__webglMultisampledFramebuffer ) _gl.deleteFramebuffer( renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t\tif ( renderTargetProperties.__webglColorRenderbuffer ) {\n\n\t\t\t\tfor ( let i = 0; i < renderTargetProperties.__webglColorRenderbuffer.length; i ++ ) {\n\n\t\t\t\t\tif ( renderTargetProperties.__webglColorRenderbuffer[ i ] ) _gl.deleteRenderbuffer( renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( renderTargetProperties.__webglDepthRenderbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthRenderbuffer );\n\n\t\t}\n\n\t\tif ( renderTarget.isWebGLMultipleRenderTargets ) {\n\n\t\t\tfor ( let i = 0, il = texture.length; i < il; i ++ ) {\n\n\t\t\t\tconst attachmentProperties = properties.get( texture[ i ] );\n\n\t\t\t\tif ( attachmentProperties.__webglTexture ) {\n\n\t\t\t\t\t_gl.deleteTexture( attachmentProperties.__webglTexture );\n\n\t\t\t\t\tinfo.memory.textures --;\n\n\t\t\t\t}\n\n\t\t\t\tproperties.remove( texture[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tproperties.remove( texture );\n\t\tproperties.remove( renderTarget );\n\n\t}\n\n\t//\n\n\tlet textureUnits = 0;\n\n\tfunction resetTextureUnits() {\n\n\t\ttextureUnits = 0;\n\n\t}\n\n\tfunction allocateTextureUnit() {\n\n\t\tconst textureUnit = textureUnits;\n\n\t\tif ( textureUnit >= capabilities.maxTextures ) {\n\n\t\t\tconsole.warn( 'THREE.WebGLTextures: Trying to use ' + textureUnit + ' texture units while this GPU supports only ' + capabilities.maxTextures );\n\n\t\t}\n\n\t\ttextureUnits += 1;\n\n\t\treturn textureUnit;\n\n\t}\n\n\tfunction getTextureCacheKey( texture ) {\n\n\t\tconst array = [];\n\n\t\tarray.push( texture.wrapS );\n\t\tarray.push( texture.wrapT );\n\t\tarray.push( texture.wrapR || 0 );\n\t\tarray.push( texture.magFilter );\n\t\tarray.push( texture.minFilter );\n\t\tarray.push( texture.anisotropy );\n\t\tarray.push( texture.internalFormat );\n\t\tarray.push( texture.format );\n\t\tarray.push( texture.type );\n\t\tarray.push( texture.generateMipmaps );\n\t\tarray.push( texture.premultiplyAlpha );\n\t\tarray.push( texture.flipY );\n\t\tarray.push( texture.unpackAlignment );\n\t\tarray.push( texture.colorSpace );\n\n\t\treturn array.join();\n\n\t}\n\n\t//\n\n\tfunction setTexture2D( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.isVideoTexture ) updateVideoTexture( texture );\n\n\t\tif ( texture.isRenderTargetTexture === false && texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tconst image = texture.image;\n\n\t\t\tif ( image === null ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture marked for update but no image data found.' );\n\n\t\t\t} else if ( image.complete === false ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture marked for update but image is incomplete' );\n\n\t\t\t} else {\n\n\t\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_2D, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTexture2DArray( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_2D_ARRAY, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTexture3D( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_3D, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTextureCube( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadCubeTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tconst wrappingToGL = {\n\t\t[ RepeatWrapping ]: _gl.REPEAT,\n\t\t[ ClampToEdgeWrapping ]: _gl.CLAMP_TO_EDGE,\n\t\t[ MirroredRepeatWrapping ]: _gl.MIRRORED_REPEAT\n\t};\n\n\tconst filterToGL = {\n\t\t[ NearestFilter ]: _gl.NEAREST,\n\t\t[ NearestMipmapNearestFilter ]: _gl.NEAREST_MIPMAP_NEAREST,\n\t\t[ NearestMipmapLinearFilter ]: _gl.NEAREST_MIPMAP_LINEAR,\n\n\t\t[ LinearFilter ]: _gl.LINEAR,\n\t\t[ LinearMipmapNearestFilter ]: _gl.LINEAR_MIPMAP_NEAREST,\n\t\t[ LinearMipmapLinearFilter ]: _gl.LINEAR_MIPMAP_LINEAR\n\t};\n\n\tconst compareToGL = {\n\t\t[ NeverCompare ]: _gl.NEVER,\n\t\t[ AlwaysCompare ]: _gl.ALWAYS,\n\t\t[ LessCompare ]: _gl.LESS,\n\t\t[ LessEqualCompare ]: _gl.LEQUAL,\n\t\t[ EqualCompare ]: _gl.EQUAL,\n\t\t[ GreaterEqualCompare ]: _gl.GEQUAL,\n\t\t[ GreaterCompare ]: _gl.GREATER,\n\t\t[ NotEqualCompare ]: _gl.NOTEQUAL\n\t};\n\n\tfunction setTextureParameters( textureType, texture, supportsMips ) {\n\n\t\tif ( supportsMips ) {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_S, wrappingToGL[ texture.wrapS ] );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_T, wrappingToGL[ texture.wrapT ] );\n\n\t\t\tif ( textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_R, wrappingToGL[ texture.wrapR ] );\n\n\t\t\t}\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MAG_FILTER, filterToGL[ texture.magFilter ] );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MIN_FILTER, filterToGL[ texture.minFilter ] );\n\n\t\t} else {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_S, _gl.CLAMP_TO_EDGE );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_T, _gl.CLAMP_TO_EDGE );\n\n\t\t\tif ( textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_R, _gl.CLAMP_TO_EDGE );\n\n\t\t\t}\n\n\t\t\tif ( texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping.' );\n\n\t\t\t}\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MAG_FILTER, filterFallback( texture.magFilter ) );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MIN_FILTER, filterFallback( texture.minFilter ) );\n\n\t\t\tif ( texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.' );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( texture.compareFunction ) {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_COMPARE_MODE, _gl.COMPARE_REF_TO_TEXTURE );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_COMPARE_FUNC, compareToGL[ texture.compareFunction ] );\n\n\t\t}\n\n\t\tif ( extensions.has( 'EXT_texture_filter_anisotropic' ) === true ) {\n\n\t\t\tconst extension = extensions.get( 'EXT_texture_filter_anisotropic' );\n\n\t\t\tif ( texture.magFilter === NearestFilter ) return;\n\t\t\tif ( texture.minFilter !== NearestMipmapLinearFilter && texture.minFilter !== LinearMipmapLinearFilter ) return;\n\t\t\tif ( texture.type === FloatType && extensions.has( 'OES_texture_float_linear' ) === false ) return; // verify extension for WebGL 1 and WebGL 2\n\t\t\tif ( isWebGL2 === false && ( texture.type === HalfFloatType && extensions.has( 'OES_texture_half_float_linear' ) === false ) ) return; // verify extension for WebGL 1 only\n\n\t\t\tif ( texture.anisotropy > 1 || properties.get( texture ).__currentAnisotropy ) {\n\n\t\t\t\t_gl.texParameterf( textureType, extension.TEXTURE_MAX_ANISOTROPY_EXT, Math.min( texture.anisotropy, capabilities.getMaxAnisotropy() ) );\n\t\t\t\tproperties.get( texture ).__currentAnisotropy = texture.anisotropy;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction initTexture( textureProperties, texture ) {\n\n\t\tlet forceUpload = false;\n\n\t\tif ( textureProperties.__webglInit === undefined ) {\n\n\t\t\ttextureProperties.__webglInit = true;\n\n\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t}\n\n\t\t// create Source <-> WebGLTextures mapping if necessary\n\n\t\tconst source = texture.source;\n\t\tlet webglTextures = _sources.get( source );\n\n\t\tif ( webglTextures === undefined ) {\n\n\t\t\twebglTextures = {};\n\t\t\t_sources.set( source, webglTextures );\n\n\t\t}\n\n\t\t// check if there is already a WebGLTexture object for the given texture parameters\n\n\t\tconst textureCacheKey = getTextureCacheKey( texture );\n\n\t\tif ( textureCacheKey !== textureProperties.__cacheKey ) {\n\n\t\t\t// if not, create a new instance of WebGLTexture\n\n\t\t\tif ( webglTextures[ textureCacheKey ] === undefined ) {\n\n\t\t\t\t// create new entry\n\n\t\t\t\twebglTextures[ textureCacheKey ] = {\n\t\t\t\t\ttexture: _gl.createTexture(),\n\t\t\t\t\tusedTimes: 0\n\t\t\t\t};\n\n\t\t\t\tinfo.memory.textures ++;\n\n\t\t\t\t// when a new instance of WebGLTexture was created, a texture upload is required\n\t\t\t\t// even if the image contents are identical\n\n\t\t\t\tforceUpload = true;\n\n\t\t\t}\n\n\t\t\twebglTextures[ textureCacheKey ].usedTimes ++;\n\n\t\t\t// every time the texture cache key changes, it's necessary to check if an instance of\n\t\t\t// WebGLTexture can be deleted in order to avoid a memory leak.\n\n\t\t\tconst webglTexture = webglTextures[ textureProperties.__cacheKey ];\n\n\t\t\tif ( webglTexture !== undefined ) {\n\n\t\t\t\twebglTextures[ textureProperties.__cacheKey ].usedTimes --;\n\n\t\t\t\tif ( webglTexture.usedTimes === 0 ) {\n\n\t\t\t\t\tdeleteTexture( texture );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// store references to cache key and WebGLTexture object\n\n\t\t\ttextureProperties.__cacheKey = textureCacheKey;\n\t\t\ttextureProperties.__webglTexture = webglTextures[ textureCacheKey ].texture;\n\n\t\t}\n\n\t\treturn forceUpload;\n\n\t}\n\n\tfunction uploadTexture( textureProperties, texture, slot ) {\n\n\t\tlet textureType = _gl.TEXTURE_2D;\n\n\t\tif ( texture.isDataArrayTexture || texture.isCompressedArrayTexture ) textureType = _gl.TEXTURE_2D_ARRAY;\n\t\tif ( texture.isData3DTexture ) textureType = _gl.TEXTURE_3D;\n\n\t\tconst forceUpload = initTexture( textureProperties, texture );\n\t\tconst source = texture.source;\n\n\t\tstate.bindTexture( textureType, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t\tconst sourceProperties = properties.get( source );\n\n\t\tif ( source.version !== sourceProperties.__version || forceUpload === true ) {\n\n\t\t\tstate.activeTexture( _gl.TEXTURE0 + slot );\n\n\t\t\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\t\t\tconst texturePrimaries = texture.colorSpace === NoColorSpace ? null : ColorManagement.getPrimaries( texture.colorSpace );\n\t\t\tconst unpackConversion = texture.colorSpace === NoColorSpace || workingPrimaries === texturePrimaries ? _gl.NONE : _gl.BROWSER_DEFAULT_WEBGL;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, texture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, texture.unpackAlignment );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, unpackConversion );\n\n\t\t\tconst needsPowerOfTwo = textureNeedsPowerOfTwo( texture ) && isPowerOfTwo$1( texture.image ) === false;\n\t\t\tlet image = resizeImage( texture.image, needsPowerOfTwo, false, capabilities.maxTextureSize );\n\t\t\timage = verifyColorSpace( texture, image );\n\n\t\t\tconst supportsMips = isPowerOfTwo$1( image ) || isWebGL2,\n\t\t\t\tglFormat = utils.convert( texture.format, texture.colorSpace );\n\n\t\t\tlet glType = utils.convert( texture.type ),\n\t\t\t\tglInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace, texture.isVideoTexture );\n\n\t\t\tsetTextureParameters( textureType, texture, supportsMips );\n\n\t\t\tlet mipmap;\n\t\t\tconst mipmaps = texture.mipmaps;\n\n\t\t\tconst useTexStorage = ( isWebGL2 && texture.isVideoTexture !== true && glInternalFormat !== RGB_ETC1_Format );\n\t\t\tconst allocateMemory = ( sourceProperties.__version === undefined ) || ( forceUpload === true );\n\t\t\tconst levels = getMipLevels( texture, image, supportsMips );\n\n\t\t\tif ( texture.isDepthTexture ) {\n\n\t\t\t\t// populate depth texture with dummy data\n\n\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT;\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tif ( texture.type === FloatType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT32F;\n\n\t\t\t\t\t} else if ( texture.type === UnsignedIntType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT24;\n\n\t\t\t\t\t} else if ( texture.type === UnsignedInt248Type ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH24_STENCIL8;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT16; // WebGL2 requires sized internalformat for glTexImage2D\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( texture.type === FloatType ) {\n\n\t\t\t\t\t\tconsole.error( 'WebGLRenderer: Floating point depth texture requires WebGL2.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// validation checks for WebGL 1\n\n\t\t\t\tif ( texture.format === DepthFormat && glInternalFormat === _gl.DEPTH_COMPONENT ) {\n\n\t\t\t\t\t// The error INVALID_OPERATION is generated by texImage2D if format and internalformat are\n\t\t\t\t\t// DEPTH_COMPONENT and type is not UNSIGNED_SHORT or UNSIGNED_INT\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tif ( texture.type !== UnsignedShortType && texture.type !== UnsignedIntType ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture.' );\n\n\t\t\t\t\t\ttexture.type = UnsignedIntType;\n\t\t\t\t\t\tglType = utils.convert( texture.type );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( texture.format === DepthStencilFormat && glInternalFormat === _gl.DEPTH_COMPONENT ) {\n\n\t\t\t\t\t// Depth stencil textures need the DEPTH_STENCIL internal format\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tglInternalFormat = _gl.DEPTH_STENCIL;\n\n\t\t\t\t\t// The error INVALID_OPERATION is generated by texImage2D if format and internalformat are\n\t\t\t\t\t// DEPTH_STENCIL and type is not UNSIGNED_INT_24_8_WEBGL.\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tif ( texture.type !== UnsignedInt248Type ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture.' );\n\n\t\t\t\t\t\ttexture.type = UnsignedInt248Type;\n\t\t\t\t\t\tglType = utils.convert( texture.type );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t//\n\n\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, 1, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, null );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isDataTexture ) {\n\n\t\t\t\t// use manually created mipmaps if available\n\t\t\t\t// if there are no manual mipmaps\n\t\t\t\t// set 0 level mipmap and then use GL to generate other mipmap levels\n\n\t\t\t\tif ( mipmaps.length > 0 && supportsMips ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, 0, 0, 0, image.width, image.height, glFormat, glType, image.data );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, image.data );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isCompressedTexture ) {\n\n\t\t\t\tif ( texture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_2D_ARRAY, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage3D( _gl.TEXTURE_2D_ARRAY, i, 0, 0, 0, mipmap.width, mipmap.height, image.depth, glFormat, mipmap.data, 0, 0 );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage3D( _gl.TEXTURE_2D_ARRAY, i, glInternalFormat, mipmap.width, mipmap.height, image.depth, 0, mipmap.data, 0, 0 );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_2D_ARRAY, i, 0, 0, 0, mipmap.width, mipmap.height, image.depth, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_2D_ARRAY, i, glInternalFormat, mipmap.width, mipmap.height, image.depth, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, mipmap.data );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isDataArrayTexture ) {\n\n\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_2D_ARRAY, levels, glInternalFormat, image.width, image.height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_2D_ARRAY, 0, 0, 0, 0, image.width, image.height, image.depth, glFormat, glType, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_2D_ARRAY, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data );\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isData3DTexture ) {\n\n\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_3D, levels, glInternalFormat, image.width, image.height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_3D, 0, 0, 0, 0, image.width, image.height, image.depth, glFormat, glType, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_3D, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data );\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isFramebufferTexture ) {\n\n\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tlet width = image.width, height = image.height;\n\n\t\t\t\t\t\tfor ( let i = 0; i < levels; i ++ ) {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, width, height, 0, glFormat, glType, null );\n\n\t\t\t\t\t\t\twidth >>= 1;\n\t\t\t\t\t\t\theight >>= 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// regular Texture (image, video, canvas)\n\n\t\t\t\t// use manually created mipmaps if available\n\t\t\t\t// if there are no manual mipmaps\n\t\t\t\t// set 0 level mipmap and then use GL to generate other mipmap levels\n\n\t\t\t\tif ( mipmaps.length > 0 && supportsMips ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, glFormat, glType, mipmap );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, glFormat, glType, mipmap );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, 0, 0, 0, glFormat, glType, image );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, glFormat, glType, image );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( textureType );\n\n\t\t\t}\n\n\t\t\tsourceProperties.__version = source.version;\n\n\t\t\tif ( texture.onUpdate ) texture.onUpdate( texture );\n\n\t\t}\n\n\t\ttextureProperties.__version = texture.version;\n\n\t}\n\n\tfunction uploadCubeTexture( textureProperties, texture, slot ) {\n\n\t\tif ( texture.image.length !== 6 ) return;\n\n\t\tconst forceUpload = initTexture( textureProperties, texture );\n\t\tconst source = texture.source;\n\n\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t\tconst sourceProperties = properties.get( source );\n\n\t\tif ( source.version !== sourceProperties.__version || forceUpload === true ) {\n\n\t\t\tstate.activeTexture( _gl.TEXTURE0 + slot );\n\n\t\t\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\t\t\tconst texturePrimaries = texture.colorSpace === NoColorSpace ? null : ColorManagement.getPrimaries( texture.colorSpace );\n\t\t\tconst unpackConversion = texture.colorSpace === NoColorSpace || workingPrimaries === texturePrimaries ? _gl.NONE : _gl.BROWSER_DEFAULT_WEBGL;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, texture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, texture.unpackAlignment );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, unpackConversion );\n\n\t\t\tconst isCompressed = ( texture.isCompressedTexture || texture.image[ 0 ].isCompressedTexture );\n\t\t\tconst isDataTexture = ( texture.image[ 0 ] && texture.image[ 0 ].isDataTexture );\n\n\t\t\tconst cubeImage = [];\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( ! isCompressed && ! isDataTexture ) {\n\n\t\t\t\t\tcubeImage[ i ] = resizeImage( texture.image[ i ], false, true, capabilities.maxCubemapSize );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tcubeImage[ i ] = isDataTexture ? texture.image[ i ].image : texture.image[ i ];\n\n\t\t\t\t}\n\n\t\t\t\tcubeImage[ i ] = verifyColorSpace( texture, cubeImage[ i ] );\n\n\t\t\t}\n\n\t\t\tconst image = cubeImage[ 0 ],\n\t\t\t\tsupportsMips = isPowerOfTwo$1( image ) || isWebGL2,\n\t\t\t\tglFormat = utils.convert( texture.format, texture.colorSpace ),\n\t\t\t\tglType = utils.convert( texture.type ),\n\t\t\t\tglInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\n\t\t\tconst useTexStorage = ( isWebGL2 && texture.isVideoTexture !== true );\n\t\t\tconst allocateMemory = ( sourceProperties.__version === undefined ) || ( forceUpload === true );\n\t\t\tlet levels = getMipLevels( texture, image, supportsMips );\n\n\t\t\tsetTextureParameters( _gl.TEXTURE_CUBE_MAP, texture, supportsMips );\n\n\t\t\tlet mipmaps;\n\n\t\t\tif ( isCompressed ) {\n\n\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_CUBE_MAP, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tmipmaps = cubeImage[ i ].mipmaps;\n\n\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, 0, 0, mipmap.width, mipmap.height, glFormat, mipmap.data );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tmipmaps = texture.mipmaps;\n\n\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t// TODO: Uniformly handle mipmap definitions\n\t\t\t\t\t// Normal textures and compressed cube textures define base level + mips with their mipmap array\n\t\t\t\t\t// Uncompressed cube textures use their mipmap array only for mips (no base level)\n\n\t\t\t\t\tif ( mipmaps.length > 0 ) levels ++;\n\n\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_CUBE_MAP, levels, glInternalFormat, cubeImage[ 0 ].width, cubeImage[ 0 ].height );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tif ( isDataTexture ) {\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, 0, 0, cubeImage[ i ].width, cubeImage[ i ].height, glFormat, glType, cubeImage[ i ].data );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, cubeImage[ i ].width, cubeImage[ i ].height, 0, glFormat, glType, cubeImage[ i ].data );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\t\t\t\t\t\t\tconst mipmapImage = mipmap.image[ i ].image;\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, 0, 0, mipmapImage.width, mipmapImage.height, glFormat, glType, mipmapImage.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, mipmapImage.width, mipmapImage.height, 0, glFormat, glType, mipmapImage.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, 0, 0, glFormat, glType, cubeImage[ i ] );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, glFormat, glType, cubeImage[ i ] );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, 0, 0, glFormat, glType, mipmap.image[ i ] );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, glFormat, glType, mipmap.image[ i ] );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\t// We assume images for cube map have the same size.\n\t\t\t\tgenerateMipmap( _gl.TEXTURE_CUBE_MAP );\n\n\t\t\t}\n\n\t\t\tsourceProperties.__version = source.version;\n\n\t\t\tif ( texture.onUpdate ) texture.onUpdate( texture );\n\n\t\t}\n\n\t\ttextureProperties.__version = texture.version;\n\n\t}\n\n\t// Render targets\n\n\t// Setup storage for target texture and bind it to correct framebuffer\n\tfunction setupFrameBufferTexture( framebuffer, renderTarget, texture, attachment, textureTarget, level ) {\n\n\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\tconst glType = utils.convert( texture.type );\n\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\tif ( ! renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\tconst width = Math.max( 1, renderTarget.width >> level );\n\t\t\tconst height = Math.max( 1, renderTarget.height >> level );\n\n\t\t\tif ( textureTarget === _gl.TEXTURE_3D || textureTarget === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\tstate.texImage3D( textureTarget, level, glInternalFormat, width, height, renderTarget.depth, 0, glFormat, glType, null );\n\n\t\t\t} else {\n\n\t\t\t\tstate.texImage2D( textureTarget, level, glInternalFormat, width, height, 0, glFormat, glType, null );\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, attachment, textureTarget, properties.get( texture ).__webglTexture, 0, getRenderTargetSamples( renderTarget ) );\n\n\t\t} else if ( textureTarget === _gl.TEXTURE_2D || ( textureTarget >= _gl.TEXTURE_CUBE_MAP_POSITIVE_X && textureTarget <= _gl.TEXTURE_CUBE_MAP_NEGATIVE_Z ) ) { // see #24753\n\n\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, attachment, textureTarget, properties.get( texture ).__webglTexture, level );\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t}\n\n\n\t// Setup storage for internal depth/stencil buffers and bind to correct framebuffer\n\tfunction setupRenderBufferStorage( renderbuffer, renderTarget, isMultisample ) {\n\n\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, renderbuffer );\n\n\t\tif ( renderTarget.depthBuffer && ! renderTarget.stencilBuffer ) {\n\n\t\t\tlet glInternalFormat = ( isWebGL2 === true ) ? _gl.DEPTH_COMPONENT24 : _gl.DEPTH_COMPONENT16;\n\n\t\t\tif ( isMultisample || useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tconst depthTexture = renderTarget.depthTexture;\n\n\t\t\t\tif ( depthTexture && depthTexture.isDepthTexture ) {\n\n\t\t\t\t\tif ( depthTexture.type === FloatType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT32F;\n\n\t\t\t\t\t} else if ( depthTexture.type === UnsignedIntType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT24;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t}\n\n\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer );\n\n\t\t} else if ( renderTarget.depthBuffer && renderTarget.stencilBuffer ) {\n\n\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\tif ( isMultisample && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height );\n\n\t\t\t} else if ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, _gl.DEPTH_STENCIL, renderTarget.width, renderTarget.height );\n\n\t\t\t}\n\n\n\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer );\n\n\t\t} else {\n\n\t\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [ renderTarget.texture ];\n\n\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\tconst texture = textures[ i ];\n\n\t\t\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\t\t\tconst glType = utils.convert( texture.type );\n\t\t\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\t\tif ( isMultisample && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else if ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, null );\n\n\t}\n\n\t// Setup resources for a Depth Texture for a FBO (needs an extension)\n\tfunction setupDepthTexture( framebuffer, renderTarget ) {\n\n\t\tconst isCube = ( renderTarget && renderTarget.isWebGLCubeRenderTarget );\n\t\tif ( isCube ) throw new Error( 'Depth Texture with cube render targets is not supported' );\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\tif ( ! ( renderTarget.depthTexture && renderTarget.depthTexture.isDepthTexture ) ) {\n\n\t\t\tthrow new Error( 'renderTarget.depthTexture must be an instance of THREE.DepthTexture' );\n\n\t\t}\n\n\t\t// upload an empty depth texture with framebuffer size\n\t\tif ( ! properties.get( renderTarget.depthTexture ).__webglTexture ||\n\t\t\t\trenderTarget.depthTexture.image.width !== renderTarget.width ||\n\t\t\t\trenderTarget.depthTexture.image.height !== renderTarget.height ) {\n\n\t\t\trenderTarget.depthTexture.image.width = renderTarget.width;\n\t\t\trenderTarget.depthTexture.image.height = renderTarget.height;\n\t\t\trenderTarget.depthTexture.needsUpdate = true;\n\n\t\t}\n\n\t\tsetTexture2D( renderTarget.depthTexture, 0 );\n\n\t\tconst webglDepthTexture = properties.get( renderTarget.depthTexture ).__webglTexture;\n\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\tif ( renderTarget.depthTexture.format === DepthFormat ) {\n\n\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0, samples );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0 );\n\n\t\t\t}\n\n\t\t} else if ( renderTarget.depthTexture.format === DepthStencilFormat ) {\n\n\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0, samples );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0 );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'Unknown depthTexture format' );\n\n\t\t}\n\n\t}\n\n\t// Setup GL resources for a non-texture depth buffer\n\tfunction setupDepthRenderbuffer( renderTarget ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst isCube = ( renderTarget.isWebGLCubeRenderTarget === true );\n\n\t\tif ( renderTarget.depthTexture && ! renderTargetProperties.__autoAllocateDepthBuffer ) {\n\n\t\t\tif ( isCube ) throw new Error( 'target.depthTexture not supported in Cube render targets' );\n\n\t\t\tsetupDepthTexture( renderTargetProperties.__webglFramebuffer, renderTarget );\n\n\t\t} else {\n\n\t\t\tif ( isCube ) {\n\n\t\t\t\trenderTargetProperties.__webglDepthbuffer = [];\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer[ i ] );\n\t\t\t\t\trenderTargetProperties.__webglDepthbuffer[ i ] = _gl.createRenderbuffer();\n\t\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthbuffer[ i ], renderTarget, false );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\trenderTargetProperties.__webglDepthbuffer = _gl.createRenderbuffer();\n\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthbuffer, renderTarget, false );\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t}\n\n\t// rebind framebuffer with external textures\n\tfunction rebindTextures( renderTarget, colorTexture, depthTexture ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\tif ( colorTexture !== undefined ) {\n\n\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, renderTarget.texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_2D, 0 );\n\n\t\t}\n\n\t\tif ( depthTexture !== undefined ) {\n\n\t\t\tsetupDepthRenderbuffer( renderTarget );\n\n\t\t}\n\n\t}\n\n\t// Set up GL resources for the render target\n\tfunction setupRenderTarget( renderTarget ) {\n\n\t\tconst texture = renderTarget.texture;\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst textureProperties = properties.get( texture );\n\n\t\trenderTarget.addEventListener( 'dispose', onRenderTargetDispose );\n\n\t\tif ( renderTarget.isWebGLMultipleRenderTargets !== true ) {\n\n\t\t\tif ( textureProperties.__webglTexture === undefined ) {\n\n\t\t\t\ttextureProperties.__webglTexture = _gl.createTexture();\n\n\t\t\t}\n\n\t\t\ttextureProperties.__version = texture.version;\n\t\t\tinfo.memory.textures ++;\n\n\t\t}\n\n\t\tconst isCube = ( renderTarget.isWebGLCubeRenderTarget === true );\n\t\tconst isMultipleRenderTargets = ( renderTarget.isWebGLMultipleRenderTargets === true );\n\t\tconst supportsMips = isPowerOfTwo$1( renderTarget ) || isWebGL2;\n\n\t\t// Setup framebuffer\n\n\t\tif ( isCube ) {\n\n\t\t\trenderTargetProperties.__webglFramebuffer = [];\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ] = [];\n\n\t\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ][ level ] = _gl.createFramebuffer();\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ] = _gl.createFramebuffer();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\trenderTargetProperties.__webglFramebuffer = [];\n\n\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ level ] = _gl.createFramebuffer();\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\trenderTargetProperties.__webglFramebuffer = _gl.createFramebuffer();\n\n\t\t\t}\n\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tif ( capabilities.drawBuffers ) {\n\n\t\t\t\t\tconst textures = renderTarget.texture;\n\n\t\t\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst attachmentProperties = properties.get( textures[ i ] );\n\n\t\t\t\t\t\tif ( attachmentProperties.__webglTexture === undefined ) {\n\n\t\t\t\t\t\t\tattachmentProperties.__webglTexture = _gl.createTexture();\n\n\t\t\t\t\t\t\tinfo.memory.textures ++;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( ( isWebGL2 && renderTarget.samples > 0 ) && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\tconst textures = isMultipleRenderTargets ? texture : [ texture ];\n\n\t\t\t\trenderTargetProperties.__webglMultisampledFramebuffer = _gl.createFramebuffer();\n\t\t\t\trenderTargetProperties.__webglColorRenderbuffer = [];\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tconst texture = textures[ i ];\n\t\t\t\t\trenderTargetProperties.__webglColorRenderbuffer[ i ] = _gl.createRenderbuffer();\n\n\t\t\t\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\t\t\t\tconst glType = utils.convert( texture.type );\n\t\t\t\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace, renderTarget.isXRRenderTarget === true );\n\t\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, null );\n\n\t\t\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\t\t\trenderTargetProperties.__webglDepthRenderbuffer = _gl.createRenderbuffer();\n\t\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthRenderbuffer, renderTarget, true );\n\n\t\t\t\t}\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Setup color buffer\n\n\t\tif ( isCube ) {\n\n\t\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture );\n\t\t\tsetTextureParameters( _gl.TEXTURE_CUBE_MAP, texture, supportsMips );\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ i ][ level ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, level );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ i ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( _gl.TEXTURE_CUBE_MAP );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t} else if ( isMultipleRenderTargets ) {\n\n\t\t\tconst textures = renderTarget.texture;\n\n\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\tconst attachment = textures[ i ];\n\t\t\t\tconst attachmentProperties = properties.get( attachment );\n\n\t\t\t\tstate.bindTexture( _gl.TEXTURE_2D, attachmentProperties.__webglTexture );\n\t\t\t\tsetTextureParameters( _gl.TEXTURE_2D, attachment, supportsMips );\n\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, attachment, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, 0 );\n\n\t\t\t\tif ( textureNeedsGenerateMipmaps( attachment, supportsMips ) ) {\n\n\t\t\t\t\tgenerateMipmap( _gl.TEXTURE_2D );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t} else {\n\n\t\t\tlet glTextureType = _gl.TEXTURE_2D;\n\n\t\t\tif ( renderTarget.isWebGL3DRenderTarget || renderTarget.isWebGLArrayRenderTarget ) {\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tglTextureType = renderTarget.isWebGL3DRenderTarget ? _gl.TEXTURE_3D : _gl.TEXTURE_2D_ARRAY;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( 'THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindTexture( glTextureType, textureProperties.__webglTexture );\n\t\t\tsetTextureParameters( glTextureType, texture, supportsMips );\n\n\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ level ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType, level );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType, 0 );\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( glTextureType );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t}\n\n\t\t// Setup depth and stencil buffers\n\n\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\tsetupDepthRenderbuffer( renderTarget );\n\n\t\t}\n\n\t}\n\n\tfunction updateRenderTargetMipmap( renderTarget ) {\n\n\t\tconst supportsMips = isPowerOfTwo$1( renderTarget ) || isWebGL2;\n\n\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [ renderTarget.texture ];\n\n\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\tconst texture = textures[ i ];\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tconst target = renderTarget.isWebGLCubeRenderTarget ? _gl.TEXTURE_CUBE_MAP : _gl.TEXTURE_2D;\n\t\t\t\tconst webglTexture = properties.get( texture ).__webglTexture;\n\n\t\t\t\tstate.bindTexture( target, webglTexture );\n\t\t\t\tgenerateMipmap( target );\n\t\t\t\tstate.unbindTexture();\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction updateMultisampleRenderTarget( renderTarget ) {\n\n\t\tif ( ( isWebGL2 && renderTarget.samples > 0 ) && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets ? renderTarget.texture : [ renderTarget.texture ];\n\t\t\tconst width = renderTarget.width;\n\t\t\tconst height = renderTarget.height;\n\t\t\tlet mask = _gl.COLOR_BUFFER_BIT;\n\t\t\tconst invalidationArray = [];\n\t\t\tconst depthStyle = renderTarget.stencilBuffer ? _gl.DEPTH_STENCIL_ATTACHMENT : _gl.DEPTH_ATTACHMENT;\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\tconst isMultipleRenderTargets = ( renderTarget.isWebGLMultipleRenderTargets === true );\n\n\t\t\t// If MRT we need to remove FBO attachments\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, null );\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, null, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.READ_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\n\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\tinvalidationArray.push( _gl.COLOR_ATTACHMENT0 + i );\n\n\t\t\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\t\t\tinvalidationArray.push( depthStyle );\n\n\t\t\t\t}\n\n\t\t\t\tconst ignoreDepthValues = ( renderTargetProperties.__ignoreDepthValues !== undefined ) ? renderTargetProperties.__ignoreDepthValues : false;\n\n\t\t\t\tif ( ignoreDepthValues === false ) {\n\n\t\t\t\t\tif ( renderTarget.depthBuffer ) mask |= _gl.DEPTH_BUFFER_BIT;\n\t\t\t\t\tif ( renderTarget.stencilBuffer ) mask |= _gl.STENCIL_BUFFER_BIT;\n\n\t\t\t\t}\n\n\t\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.READ_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( ignoreDepthValues === true ) {\n\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.READ_FRAMEBUFFER, [ depthStyle ] );\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.DRAW_FRAMEBUFFER, [ depthStyle ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\t\tconst webglTexture = properties.get( textures[ i ] ).__webglTexture;\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_2D, webglTexture, 0 );\n\n\t\t\t\t}\n\n\t\t\t\t_gl.blitFramebuffer( 0, 0, width, height, 0, 0, width, height, mask, _gl.NEAREST );\n\n\t\t\t\tif ( supportsInvalidateFramebuffer ) {\n\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.READ_FRAMEBUFFER, invalidationArray );\n\n\t\t\t\t}\n\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.READ_FRAMEBUFFER, null );\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, null );\n\n\t\t\t// If MRT since pre-blit we removed the FBO we need to reconstruct the attachments\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t\tconst webglTexture = properties.get( textures[ i ] ).__webglTexture;\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, webglTexture, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t}\n\n\t}\n\n\tfunction getRenderTargetSamples( renderTarget ) {\n\n\t\treturn Math.min( capabilities.maxSamples, renderTarget.samples );\n\n\t}\n\n\tfunction useMultisampledRTT( renderTarget ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\treturn isWebGL2 && renderTarget.samples > 0 && extensions.has( 'WEBGL_multisampled_render_to_texture' ) === true && renderTargetProperties.__useRenderToTexture !== false;\n\n\t}\n\n\tfunction updateVideoTexture( texture ) {\n\n\t\tconst frame = info.render.frame;\n\n\t\t// Check the last frame we updated the VideoTexture\n\n\t\tif ( _videoTextures.get( texture ) !== frame ) {\n\n\t\t\t_videoTextures.set( texture, frame );\n\t\t\ttexture.update();\n\n\t\t}\n\n\t}\n\n\tfunction verifyColorSpace( texture, image ) {\n\n\t\tconst colorSpace = texture.colorSpace;\n\t\tconst format = texture.format;\n\t\tconst type = texture.type;\n\n\t\tif ( texture.isCompressedTexture === true || texture.isVideoTexture === true || texture.format === _SRGBAFormat ) return image;\n\n\t\tif ( colorSpace !== LinearSRGBColorSpace && colorSpace !== NoColorSpace ) {\n\n\t\t\t// sRGB\n\n\t\t\tif ( ColorManagement.getTransfer( colorSpace ) === SRGBTransfer ) {\n\n\t\t\t\tif ( isWebGL2 === false ) {\n\n\t\t\t\t\t// in WebGL 1, try to use EXT_sRGB extension and unsized formats\n\n\t\t\t\t\tif ( extensions.has( 'EXT_sRGB' ) === true && format === RGBAFormat ) {\n\n\t\t\t\t\t\ttexture.format = _SRGBAFormat;\n\n\t\t\t\t\t\t// it's not possible to generate mips in WebGL 1 with this extension\n\n\t\t\t\t\t\ttexture.minFilter = LinearFilter;\n\t\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// slow fallback (CPU decode)\n\n\t\t\t\t\t\timage = ImageUtils.sRGBToLinear( image );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// in WebGL 2 uncompressed textures can only be sRGB encoded if they have the RGBA8 format\n\n\t\t\t\t\tif ( format !== RGBAFormat || type !== UnsignedByteType ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconsole.error( 'THREE.WebGLTextures: Unsupported texture color space:', colorSpace );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn image;\n\n\t}\n\n\t//\n\n\tthis.allocateTextureUnit = allocateTextureUnit;\n\tthis.resetTextureUnits = resetTextureUnits;\n\n\tthis.setTexture2D = setTexture2D;\n\tthis.setTexture2DArray = setTexture2DArray;\n\tthis.setTexture3D = setTexture3D;\n\tthis.setTextureCube = setTextureCube;\n\tthis.rebindTextures = rebindTextures;\n\tthis.setupRenderTarget = setupRenderTarget;\n\tthis.updateRenderTargetMipmap = updateRenderTargetMipmap;\n\tthis.updateMultisampleRenderTarget = updateMultisampleRenderTarget;\n\tthis.setupDepthRenderbuffer = setupDepthRenderbuffer;\n\tthis.setupFrameBufferTexture = setupFrameBufferTexture;\n\tthis.useMultisampledRTT = useMultisampledRTT;\n\n}\n\nfunction WebGLUtils( gl, extensions, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tfunction convert( p, colorSpace = NoColorSpace ) {\n\n\t\tlet extension;\n\n\t\tconst transfer = ColorManagement.getTransfer( colorSpace );\n\n\t\tif ( p === UnsignedByteType ) return gl.UNSIGNED_BYTE;\n\t\tif ( p === UnsignedShort4444Type ) return gl.UNSIGNED_SHORT_4_4_4_4;\n\t\tif ( p === UnsignedShort5551Type ) return gl.UNSIGNED_SHORT_5_5_5_1;\n\n\t\tif ( p === ByteType ) return gl.BYTE;\n\t\tif ( p === ShortType ) return gl.SHORT;\n\t\tif ( p === UnsignedShortType ) return gl.UNSIGNED_SHORT;\n\t\tif ( p === IntType ) return gl.INT;\n\t\tif ( p === UnsignedIntType ) return gl.UNSIGNED_INT;\n\t\tif ( p === FloatType ) return gl.FLOAT;\n\n\t\tif ( p === HalfFloatType ) {\n\n\t\t\tif ( isWebGL2 ) return gl.HALF_FLOAT;\n\n\t\t\textension = extensions.get( 'OES_texture_half_float' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.HALF_FLOAT_OES;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( p === AlphaFormat ) return gl.ALPHA;\n\t\tif ( p === RGBAFormat ) return gl.RGBA;\n\t\tif ( p === LuminanceFormat ) return gl.LUMINANCE;\n\t\tif ( p === LuminanceAlphaFormat ) return gl.LUMINANCE_ALPHA;\n\t\tif ( p === DepthFormat ) return gl.DEPTH_COMPONENT;\n\t\tif ( p === DepthStencilFormat ) return gl.DEPTH_STENCIL;\n\n\t\t// WebGL 1 sRGB fallback\n\n\t\tif ( p === _SRGBAFormat ) {\n\n\t\t\textension = extensions.get( 'EXT_sRGB' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.SRGB_ALPHA_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// WebGL2 formats.\n\n\t\tif ( p === RedFormat ) return gl.RED;\n\t\tif ( p === RedIntegerFormat ) return gl.RED_INTEGER;\n\t\tif ( p === RGFormat ) return gl.RG;\n\t\tif ( p === RGIntegerFormat ) return gl.RG_INTEGER;\n\t\tif ( p === RGBAIntegerFormat ) return gl.RGBA_INTEGER;\n\n\t\t// S3TC\n\n\t\tif ( p === RGB_S3TC_DXT1_Format || p === RGBA_S3TC_DXT1_Format || p === RGBA_S3TC_DXT3_Format || p === RGBA_S3TC_DXT5_Format ) {\n\n\t\t\tif ( transfer === SRGBTransfer ) {\n\n\t\t\t\textension = extensions.get( 'WEBGL_compressed_texture_s3tc_srgb' );\n\n\t\t\t\tif ( extension !== null ) {\n\n\t\t\t\t\tif ( p === RGB_S3TC_DXT1_Format ) return extension.COMPRESSED_SRGB_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT1_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT3_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT5_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\textension = extensions.get( 'WEBGL_compressed_texture_s3tc' );\n\n\t\t\t\tif ( extension !== null ) {\n\n\t\t\t\t\tif ( p === RGB_S3TC_DXT1_Format ) return extension.COMPRESSED_RGB_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT1_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT3_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT3_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT5_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT5_EXT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// PVRTC\n\n\t\tif ( p === RGB_PVRTC_4BPPV1_Format || p === RGB_PVRTC_2BPPV1_Format || p === RGBA_PVRTC_4BPPV1_Format || p === RGBA_PVRTC_2BPPV1_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_pvrtc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGB_PVRTC_4BPPV1_Format ) return extension.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;\n\t\t\t\tif ( p === RGB_PVRTC_2BPPV1_Format ) return extension.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;\n\t\t\t\tif ( p === RGBA_PVRTC_4BPPV1_Format ) return extension.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;\n\t\t\t\tif ( p === RGBA_PVRTC_2BPPV1_Format ) return extension.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ETC1\n\n\t\tif ( p === RGB_ETC1_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_etc1' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.COMPRESSED_RGB_ETC1_WEBGL;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ETC2\n\n\t\tif ( p === RGB_ETC2_Format || p === RGBA_ETC2_EAC_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_etc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGB_ETC2_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ETC2 : extension.COMPRESSED_RGB8_ETC2;\n\t\t\t\tif ( p === RGBA_ETC2_EAC_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC : extension.COMPRESSED_RGBA8_ETC2_EAC;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ASTC\n\n\t\tif ( p === RGBA_ASTC_4x4_Format || p === RGBA_ASTC_5x4_Format || p === RGBA_ASTC_5x5_Format ||\n\t\t\tp === RGBA_ASTC_6x5_Format || p === RGBA_ASTC_6x6_Format || p === RGBA_ASTC_8x5_Format ||\n\t\t\tp === RGBA_ASTC_8x6_Format || p === RGBA_ASTC_8x8_Format || p === RGBA_ASTC_10x5_Format ||\n\t\t\tp === RGBA_ASTC_10x6_Format || p === RGBA_ASTC_10x8_Format || p === RGBA_ASTC_10x10_Format ||\n\t\t\tp === RGBA_ASTC_12x10_Format || p === RGBA_ASTC_12x12_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_astc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_ASTC_4x4_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR : extension.COMPRESSED_RGBA_ASTC_4x4_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_5x4_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR : extension.COMPRESSED_RGBA_ASTC_5x4_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_5x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR : extension.COMPRESSED_RGBA_ASTC_5x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_6x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR : extension.COMPRESSED_RGBA_ASTC_6x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_6x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR : extension.COMPRESSED_RGBA_ASTC_6x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR : extension.COMPRESSED_RGBA_ASTC_8x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR : extension.COMPRESSED_RGBA_ASTC_8x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x8_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR : extension.COMPRESSED_RGBA_ASTC_8x8_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR : extension.COMPRESSED_RGBA_ASTC_10x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR : extension.COMPRESSED_RGBA_ASTC_10x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x8_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR : extension.COMPRESSED_RGBA_ASTC_10x8_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x10_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR : extension.COMPRESSED_RGBA_ASTC_10x10_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_12x10_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR : extension.COMPRESSED_RGBA_ASTC_12x10_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_12x12_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR : extension.COMPRESSED_RGBA_ASTC_12x12_KHR;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// BPTC\n\n\t\tif ( p === RGBA_BPTC_Format || p === RGB_BPTC_SIGNED_Format || p === RGB_BPTC_UNSIGNED_Format ) {\n\n\t\t\textension = extensions.get( 'EXT_texture_compression_bptc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_BPTC_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT : extension.COMPRESSED_RGBA_BPTC_UNORM_EXT;\n\t\t\t\tif ( p === RGB_BPTC_SIGNED_Format ) return extension.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT;\n\t\t\t\tif ( p === RGB_BPTC_UNSIGNED_Format ) return extension.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// RGTC\n\n\t\tif ( p === RED_RGTC1_Format || p === SIGNED_RED_RGTC1_Format || p === RED_GREEN_RGTC2_Format || p === SIGNED_RED_GREEN_RGTC2_Format ) {\n\n\t\t\textension = extensions.get( 'EXT_texture_compression_rgtc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_BPTC_Format ) return extension.COMPRESSED_RED_RGTC1_EXT;\n\t\t\t\tif ( p === SIGNED_RED_RGTC1_Format ) return extension.COMPRESSED_SIGNED_RED_RGTC1_EXT;\n\t\t\t\tif ( p === RED_GREEN_RGTC2_Format ) return extension.COMPRESSED_RED_GREEN_RGTC2_EXT;\n\t\t\t\tif ( p === SIGNED_RED_GREEN_RGTC2_Format ) return extension.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( p === UnsignedInt248Type ) {\n\n\t\t\tif ( isWebGL2 ) return gl.UNSIGNED_INT_24_8;\n\n\t\t\textension = extensions.get( 'WEBGL_depth_texture' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.UNSIGNED_INT_24_8_WEBGL;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// if \"p\" can't be resolved, assume the user defines a WebGL constant as a string (fallback/workaround for packed RGB formats)\n\n\t\treturn ( gl[ p ] !== undefined ) ? gl[ p ] : null;\n\n\t}\n\n\treturn { convert: convert };\n\n}\n\nclass ArrayCamera extends PerspectiveCamera {\n\n\tconstructor( array = [] ) {\n\n\t\tsuper();\n\n\t\tthis.isArrayCamera = true;\n\n\t\tthis.cameras = array;\n\n\t}\n\n}\n\nclass Group extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isGroup = true;\n\n\t\tthis.type = 'Group';\n\n\t}\n\n}\n\nconst _moveEvent = { type: 'move' };\n\nclass WebXRController {\n\n\tconstructor() {\n\n\t\tthis._targetRay = null;\n\t\tthis._grip = null;\n\t\tthis._hand = null;\n\n\t}\n\n\tgetHandSpace() {\n\n\t\tif ( this._hand === null ) {\n\n\t\t\tthis._hand = new Group();\n\t\t\tthis._hand.matrixAutoUpdate = false;\n\t\t\tthis._hand.visible = false;\n\n\t\t\tthis._hand.joints = {};\n\t\t\tthis._hand.inputState = { pinching: false };\n\n\t\t}\n\n\t\treturn this._hand;\n\n\t}\n\n\tgetTargetRaySpace() {\n\n\t\tif ( this._targetRay === null ) {\n\n\t\t\tthis._targetRay = new Group();\n\t\t\tthis._targetRay.matrixAutoUpdate = false;\n\t\t\tthis._targetRay.visible = false;\n\t\t\tthis._targetRay.hasLinearVelocity = false;\n\t\t\tthis._targetRay.linearVelocity = new Vector3();\n\t\t\tthis._targetRay.hasAngularVelocity = false;\n\t\t\tthis._targetRay.angularVelocity = new Vector3();\n\n\t\t}\n\n\t\treturn this._targetRay;\n\n\t}\n\n\tgetGripSpace() {\n\n\t\tif ( this._grip === null ) {\n\n\t\t\tthis._grip = new Group();\n\t\t\tthis._grip.matrixAutoUpdate = false;\n\t\t\tthis._grip.visible = false;\n\t\t\tthis._grip.hasLinearVelocity = false;\n\t\t\tthis._grip.linearVelocity = new Vector3();\n\t\t\tthis._grip.hasAngularVelocity = false;\n\t\t\tthis._grip.angularVelocity = new Vector3();\n\n\t\t}\n\n\t\treturn this._grip;\n\n\t}\n\n\tdispatchEvent( event ) {\n\n\t\tif ( this._targetRay !== null ) {\n\n\t\t\tthis._targetRay.dispatchEvent( event );\n\n\t\t}\n\n\t\tif ( this._grip !== null ) {\n\n\t\t\tthis._grip.dispatchEvent( event );\n\n\t\t}\n\n\t\tif ( this._hand !== null ) {\n\n\t\t\tthis._hand.dispatchEvent( event );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tconnect( inputSource ) {\n\n\t\tif ( inputSource && inputSource.hand ) {\n\n\t\t\tconst hand = this._hand;\n\n\t\t\tif ( hand ) {\n\n\t\t\t\tfor ( const inputjoint of inputSource.hand.values() ) {\n\n\t\t\t\t\t// Initialize hand with joints when connected\n\t\t\t\t\tthis._getHandJoint( hand, inputjoint );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.dispatchEvent( { type: 'connected', data: inputSource } );\n\n\t\treturn this;\n\n\t}\n\n\tdisconnect( inputSource ) {\n\n\t\tthis.dispatchEvent( { type: 'disconnected', data: inputSource } );\n\n\t\tif ( this._targetRay !== null ) {\n\n\t\t\tthis._targetRay.visible = false;\n\n\t\t}\n\n\t\tif ( this._grip !== null ) {\n\n\t\t\tthis._grip.visible = false;\n\n\t\t}\n\n\t\tif ( this._hand !== null ) {\n\n\t\t\tthis._hand.visible = false;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tupdate( inputSource, frame, referenceSpace ) {\n\n\t\tlet inputPose = null;\n\t\tlet gripPose = null;\n\t\tlet handPose = null;\n\n\t\tconst targetRay = this._targetRay;\n\t\tconst grip = this._grip;\n\t\tconst hand = this._hand;\n\n\t\tif ( inputSource && frame.session.visibilityState !== 'visible-blurred' ) {\n\n\t\t\tif ( hand && inputSource.hand ) {\n\n\t\t\t\thandPose = true;\n\n\t\t\t\tfor ( const inputjoint of inputSource.hand.values() ) {\n\n\t\t\t\t\t// Update the joints groups with the XRJoint poses\n\t\t\t\t\tconst jointPose = frame.getJointPose( inputjoint, referenceSpace );\n\n\t\t\t\t\t// The transform of this joint will be updated with the joint pose on each frame\n\t\t\t\t\tconst joint = this._getHandJoint( hand, inputjoint );\n\n\t\t\t\t\tif ( jointPose !== null ) {\n\n\t\t\t\t\t\tjoint.matrix.fromArray( jointPose.transform.matrix );\n\t\t\t\t\t\tjoint.matrix.decompose( joint.position, joint.rotation, joint.scale );\n\t\t\t\t\t\tjoint.matrixWorldNeedsUpdate = true;\n\t\t\t\t\t\tjoint.jointRadius = jointPose.radius;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tjoint.visible = jointPose !== null;\n\n\t\t\t\t}\n\n\t\t\t\t// Custom events\n\n\t\t\t\t// Check pinchz\n\t\t\t\tconst indexTip = hand.joints[ 'index-finger-tip' ];\n\t\t\t\tconst thumbTip = hand.joints[ 'thumb-tip' ];\n\t\t\t\tconst distance = indexTip.position.distanceTo( thumbTip.position );\n\n\t\t\t\tconst distanceToPinch = 0.02;\n\t\t\t\tconst threshold = 0.005;\n\n\t\t\t\tif ( hand.inputState.pinching && distance > distanceToPinch + threshold ) {\n\n\t\t\t\t\thand.inputState.pinching = false;\n\t\t\t\t\tthis.dispatchEvent( {\n\t\t\t\t\t\ttype: 'pinchend',\n\t\t\t\t\t\thandedness: inputSource.handedness,\n\t\t\t\t\t\ttarget: this\n\t\t\t\t\t} );\n\n\t\t\t\t} else if ( ! hand.inputState.pinching && distance <= distanceToPinch - threshold ) {\n\n\t\t\t\t\thand.inputState.pinching = true;\n\t\t\t\t\tthis.dispatchEvent( {\n\t\t\t\t\t\ttype: 'pinchstart',\n\t\t\t\t\t\thandedness: inputSource.handedness,\n\t\t\t\t\t\ttarget: this\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( grip !== null && inputSource.gripSpace ) {\n\n\t\t\t\t\tgripPose = frame.getPose( inputSource.gripSpace, referenceSpace );\n\n\t\t\t\t\tif ( gripPose !== null ) {\n\n\t\t\t\t\t\tgrip.matrix.fromArray( gripPose.transform.matrix );\n\t\t\t\t\t\tgrip.matrix.decompose( grip.position, grip.rotation, grip.scale );\n\t\t\t\t\t\tgrip.matrixWorldNeedsUpdate = true;\n\n\t\t\t\t\t\tif ( gripPose.linearVelocity ) {\n\n\t\t\t\t\t\t\tgrip.hasLinearVelocity = true;\n\t\t\t\t\t\t\tgrip.linearVelocity.copy( gripPose.linearVelocity );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tgrip.hasLinearVelocity = false;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( gripPose.angularVelocity ) {\n\n\t\t\t\t\t\t\tgrip.hasAngularVelocity = true;\n\t\t\t\t\t\t\tgrip.angularVelocity.copy( gripPose.angularVelocity );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tgrip.hasAngularVelocity = false;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( targetRay !== null ) {\n\n\t\t\t\tinputPose = frame.getPose( inputSource.targetRaySpace, referenceSpace );\n\n\t\t\t\t// Some runtimes (namely Vive Cosmos with Vive OpenXR Runtime) have only grip space and ray space is equal to it\n\t\t\t\tif ( inputPose === null && gripPose !== null ) {\n\n\t\t\t\t\tinputPose = gripPose;\n\n\t\t\t\t}\n\n\t\t\t\tif ( inputPose !== null ) {\n\n\t\t\t\t\ttargetRay.matrix.fromArray( inputPose.transform.matrix );\n\t\t\t\t\ttargetRay.matrix.decompose( targetRay.position, targetRay.rotation, targetRay.scale );\n\t\t\t\t\ttargetRay.matrixWorldNeedsUpdate = true;\n\n\t\t\t\t\tif ( inputPose.linearVelocity ) {\n\n\t\t\t\t\t\ttargetRay.hasLinearVelocity = true;\n\t\t\t\t\t\ttargetRay.linearVelocity.copy( inputPose.linearVelocity );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttargetRay.hasLinearVelocity = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( inputPose.angularVelocity ) {\n\n\t\t\t\t\t\ttargetRay.hasAngularVelocity = true;\n\t\t\t\t\t\ttargetRay.angularVelocity.copy( inputPose.angularVelocity );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttargetRay.hasAngularVelocity = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tthis.dispatchEvent( _moveEvent );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t}\n\n\t\tif ( targetRay !== null ) {\n\n\t\t\ttargetRay.visible = ( inputPose !== null );\n\n\t\t}\n\n\t\tif ( grip !== null ) {\n\n\t\t\tgrip.visible = ( gripPose !== null );\n\n\t\t}\n\n\t\tif ( hand !== null ) {\n\n\t\t\thand.visible = ( handPose !== null );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// private method\n\n\t_getHandJoint( hand, inputjoint ) {\n\n\t\tif ( hand.joints[ inputjoint.jointName ] === undefined ) {\n\n\t\t\tconst joint = new Group();\n\t\t\tjoint.matrixAutoUpdate = false;\n\t\t\tjoint.visible = false;\n\t\t\thand.joints[ inputjoint.jointName ] = joint;\n\n\t\t\thand.add( joint );\n\n\t\t}\n\n\t\treturn hand.joints[ inputjoint.jointName ];\n\n\t}\n\n}\n\nclass WebXRManager extends EventDispatcher {\n\n\tconstructor( renderer, gl ) {\n\n\t\tsuper();\n\n\t\tconst scope = this;\n\n\t\tlet session = null;\n\n\t\tlet framebufferScaleFactor = 1.0;\n\n\t\tlet referenceSpace = null;\n\t\tlet referenceSpaceType = 'local-floor';\n\t\t// Set default foveation to maximum.\n\t\tlet foveation = 1.0;\n\t\tlet customReferenceSpace = null;\n\n\t\tlet pose = null;\n\t\tlet glBinding = null;\n\t\tlet glProjLayer = null;\n\t\tlet glBaseLayer = null;\n\t\tlet xrFrame = null;\n\t\tconst attributes = gl.getContextAttributes();\n\t\tlet initialRenderTarget = null;\n\t\tlet newRenderTarget = null;\n\n\t\tconst controllers = [];\n\t\tconst controllerInputSources = [];\n\n\t\tconst currentSize = new Vector2();\n\t\tlet currentPixelRatio = null;\n\n\t\t//\n\n\t\tconst cameraL = new PerspectiveCamera();\n\t\tcameraL.layers.enable( 1 );\n\t\tcameraL.viewport = new Vector4();\n\n\t\tconst cameraR = new PerspectiveCamera();\n\t\tcameraR.layers.enable( 2 );\n\t\tcameraR.viewport = new Vector4();\n\n\t\tconst cameras = [ cameraL, cameraR ];\n\n\t\tconst cameraXR = new ArrayCamera();\n\t\tcameraXR.layers.enable( 1 );\n\t\tcameraXR.layers.enable( 2 );\n\n\t\tlet _currentDepthNear = null;\n\t\tlet _currentDepthFar = null;\n\n\t\t//\n\n\t\tthis.cameraAutoUpdate = true;\n\t\tthis.enabled = false;\n\n\t\tthis.isPresenting = false;\n\n\t\tthis.getController = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getTargetRaySpace();\n\n\t\t};\n\n\t\tthis.getControllerGrip = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getGripSpace();\n\n\t\t};\n\n\t\tthis.getHand = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getHandSpace();\n\n\t\t};\n\n\t\t//\n\n\t\tfunction onSessionEvent( event ) {\n\n\t\t\tconst controllerIndex = controllerInputSources.indexOf( event.inputSource );\n\n\t\t\tif ( controllerIndex === - 1 ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst controller = controllers[ controllerIndex ];\n\n\t\t\tif ( controller !== undefined ) {\n\n\t\t\t\tcontroller.update( event.inputSource, event.frame, customReferenceSpace || referenceSpace );\n\t\t\t\tcontroller.dispatchEvent( { type: event.type, data: event.inputSource } );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onSessionEnd() {\n\n\t\t\tsession.removeEventListener( 'select', onSessionEvent );\n\t\t\tsession.removeEventListener( 'selectstart', onSessionEvent );\n\t\t\tsession.removeEventListener( 'selectend', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeeze', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeezestart', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeezeend', onSessionEvent );\n\t\t\tsession.removeEventListener( 'end', onSessionEnd );\n\t\t\tsession.removeEventListener( 'inputsourceschange', onInputSourcesChange );\n\n\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\tconst inputSource = controllerInputSources[ i ];\n\n\t\t\t\tif ( inputSource === null ) continue;\n\n\t\t\t\tcontrollerInputSources[ i ] = null;\n\n\t\t\t\tcontrollers[ i ].disconnect( inputSource );\n\n\t\t\t}\n\n\t\t\t_currentDepthNear = null;\n\t\t\t_currentDepthFar = null;\n\n\t\t\t// restore framebuffer/rendering state\n\n\t\t\trenderer.setRenderTarget( initialRenderTarget );\n\n\t\t\tglBaseLayer = null;\n\t\t\tglProjLayer = null;\n\t\t\tglBinding = null;\n\t\t\tsession = null;\n\t\t\tnewRenderTarget = null;\n\n\t\t\t//\n\n\t\t\tanimation.stop();\n\n\t\t\tscope.isPresenting = false;\n\n\t\t\trenderer.setPixelRatio( currentPixelRatio );\n\t\t\trenderer.setSize( currentSize.width, currentSize.height, false );\n\n\t\t\tscope.dispatchEvent( { type: 'sessionend' } );\n\n\t\t}\n\n\t\tthis.setFramebufferScaleFactor = function ( value ) {\n\n\t\t\tframebufferScaleFactor = value;\n\n\t\t\tif ( scope.isPresenting === true ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebXRManager: Cannot change framebuffer scale while presenting.' );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.setReferenceSpaceType = function ( value ) {\n\n\t\t\treferenceSpaceType = value;\n\n\t\t\tif ( scope.isPresenting === true ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebXRManager: Cannot change reference space type while presenting.' );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.getReferenceSpace = function () {\n\n\t\t\treturn customReferenceSpace || referenceSpace;\n\n\t\t};\n\n\t\tthis.setReferenceSpace = function ( space ) {\n\n\t\t\tcustomReferenceSpace = space;\n\n\t\t};\n\n\t\tthis.getBaseLayer = function () {\n\n\t\t\treturn glProjLayer !== null ? glProjLayer : glBaseLayer;\n\n\t\t};\n\n\t\tthis.getBinding = function () {\n\n\t\t\treturn glBinding;\n\n\t\t};\n\n\t\tthis.getFrame = function () {\n\n\t\t\treturn xrFrame;\n\n\t\t};\n\n\t\tthis.getSession = function () {\n\n\t\t\treturn session;\n\n\t\t};\n\n\t\tthis.setSession = async function ( value ) {\n\n\t\t\tsession = value;\n\n\t\t\tif ( session !== null ) {\n\n\t\t\t\tinitialRenderTarget = renderer.getRenderTarget();\n\n\t\t\t\tsession.addEventListener( 'select', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'selectstart', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'selectend', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeeze', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeezestart', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeezeend', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'end', onSessionEnd );\n\t\t\t\tsession.addEventListener( 'inputsourceschange', onInputSourcesChange );\n\n\t\t\t\tif ( attributes.xrCompatible !== true ) {\n\n\t\t\t\t\tawait gl.makeXRCompatible();\n\n\t\t\t\t}\n\n\t\t\t\tcurrentPixelRatio = renderer.getPixelRatio();\n\t\t\t\trenderer.getSize( currentSize );\n\n\t\t\t\tif ( ( session.renderState.layers === undefined ) || ( renderer.capabilities.isWebGL2 === false ) ) {\n\n\t\t\t\t\tconst layerInit = {\n\t\t\t\t\t\tantialias: ( session.renderState.layers === undefined ) ? attributes.antialias : true,\n\t\t\t\t\t\talpha: true,\n\t\t\t\t\t\tdepth: attributes.depth,\n\t\t\t\t\t\tstencil: attributes.stencil,\n\t\t\t\t\t\tframebufferScaleFactor: framebufferScaleFactor\n\t\t\t\t\t};\n\n\t\t\t\t\tglBaseLayer = new XRWebGLLayer( session, gl, layerInit );\n\n\t\t\t\t\tsession.updateRenderState( { baseLayer: glBaseLayer } );\n\n\t\t\t\t\trenderer.setPixelRatio( 1 );\n\t\t\t\t\trenderer.setSize( glBaseLayer.framebufferWidth, glBaseLayer.framebufferHeight, false );\n\n\t\t\t\t\tnewRenderTarget = new WebGLRenderTarget(\n\t\t\t\t\t\tglBaseLayer.framebufferWidth,\n\t\t\t\t\t\tglBaseLayer.framebufferHeight,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tformat: RGBAFormat,\n\t\t\t\t\t\t\ttype: UnsignedByteType,\n\t\t\t\t\t\t\tcolorSpace: renderer.outputColorSpace,\n\t\t\t\t\t\t\tstencilBuffer: attributes.stencil\n\t\t\t\t\t\t}\n\t\t\t\t\t);\n\n\t\t\t\t} else {\n\n\t\t\t\t\tlet depthFormat = null;\n\t\t\t\t\tlet depthType = null;\n\t\t\t\t\tlet glDepthFormat = null;\n\n\t\t\t\t\tif ( attributes.depth ) {\n\n\t\t\t\t\t\tglDepthFormat = attributes.stencil ? gl.DEPTH24_STENCIL8 : gl.DEPTH_COMPONENT24;\n\t\t\t\t\t\tdepthFormat = attributes.stencil ? DepthStencilFormat : DepthFormat;\n\t\t\t\t\t\tdepthType = attributes.stencil ? UnsignedInt248Type : UnsignedIntType;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst projectionlayerInit = {\n\t\t\t\t\t\tcolorFormat: gl.RGBA8,\n\t\t\t\t\t\tdepthFormat: glDepthFormat,\n\t\t\t\t\t\tscaleFactor: framebufferScaleFactor\n\t\t\t\t\t};\n\n\t\t\t\t\tglBinding = new XRWebGLBinding( session, gl );\n\n\t\t\t\t\tglProjLayer = glBinding.createProjectionLayer( projectionlayerInit );\n\n\t\t\t\t\tsession.updateRenderState( { layers: [ glProjLayer ] } );\n\n\t\t\t\t\trenderer.setPixelRatio( 1 );\n\t\t\t\t\trenderer.setSize( glProjLayer.textureWidth, glProjLayer.textureHeight, false );\n\n\t\t\t\t\tnewRenderTarget = new WebGLRenderTarget(\n\t\t\t\t\t\tglProjLayer.textureWidth,\n\t\t\t\t\t\tglProjLayer.textureHeight,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tformat: RGBAFormat,\n\t\t\t\t\t\t\ttype: UnsignedByteType,\n\t\t\t\t\t\t\tdepthTexture: new DepthTexture( glProjLayer.textureWidth, glProjLayer.textureHeight, depthType, undefined, undefined, undefined, undefined, undefined, undefined, depthFormat ),\n\t\t\t\t\t\t\tstencilBuffer: attributes.stencil,\n\t\t\t\t\t\t\tcolorSpace: renderer.outputColorSpace,\n\t\t\t\t\t\t\tsamples: attributes.antialias ? 4 : 0\n\t\t\t\t\t\t} );\n\n\t\t\t\t\tconst renderTargetProperties = renderer.properties.get( newRenderTarget );\n\t\t\t\t\trenderTargetProperties.__ignoreDepthValues = glProjLayer.ignoreDepthValues;\n\n\t\t\t\t}\n\n\t\t\t\tnewRenderTarget.isXRRenderTarget = true; // TODO Remove this when possible, see #23278\n\n\t\t\t\tthis.setFoveation( foveation );\n\n\t\t\t\tcustomReferenceSpace = null;\n\t\t\t\treferenceSpace = await session.requestReferenceSpace( referenceSpaceType );\n\n\t\t\t\tanimation.setContext( session );\n\t\t\t\tanimation.start();\n\n\t\t\t\tscope.isPresenting = true;\n\n\t\t\t\tscope.dispatchEvent( { type: 'sessionstart' } );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.getEnvironmentBlendMode = function () {\n\n\t\t\tif ( session !== null ) {\n\n\t\t\t\treturn session.environmentBlendMode;\n\n\t\t\t}\n\n\t\t};\n\n\t\tfunction onInputSourcesChange( event ) {\n\n\t\t\t// Notify disconnected\n\n\t\t\tfor ( let i = 0; i < event.removed.length; i ++ ) {\n\n\t\t\t\tconst inputSource = event.removed[ i ];\n\t\t\t\tconst index = controllerInputSources.indexOf( inputSource );\n\n\t\t\t\tif ( index >= 0 ) {\n\n\t\t\t\t\tcontrollerInputSources[ index ] = null;\n\t\t\t\t\tcontrollers[ index ].disconnect( inputSource );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Notify connected\n\n\t\t\tfor ( let i = 0; i < event.added.length; i ++ ) {\n\n\t\t\t\tconst inputSource = event.added[ i ];\n\n\t\t\t\tlet controllerIndex = controllerInputSources.indexOf( inputSource );\n\n\t\t\t\tif ( controllerIndex === - 1 ) {\n\n\t\t\t\t\t// Assign input source a controller that currently has no input source\n\n\t\t\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\t\t\tif ( i >= controllerInputSources.length ) {\n\n\t\t\t\t\t\t\tcontrollerInputSources.push( inputSource );\n\t\t\t\t\t\t\tcontrollerIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t} else if ( controllerInputSources[ i ] === null ) {\n\n\t\t\t\t\t\t\tcontrollerInputSources[ i ] = inputSource;\n\t\t\t\t\t\t\tcontrollerIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// If all controllers do currently receive input we ignore new ones\n\n\t\t\t\t\tif ( controllerIndex === - 1 ) break;\n\n\t\t\t\t}\n\n\t\t\t\tconst controller = controllers[ controllerIndex ];\n\n\t\t\t\tif ( controller ) {\n\n\t\t\t\t\tcontroller.connect( inputSource );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tconst cameraLPos = new Vector3();\n\t\tconst cameraRPos = new Vector3();\n\n\t\t/**\n\t\t * Assumes 2 cameras that are parallel and share an X-axis, and that\n\t\t * the cameras' projection and world matrices have already been set.\n\t\t * And that near and far planes are identical for both cameras.\n\t\t * Visualization of this technique: https://computergraphics.stackexchange.com/a/4765\n\t\t */\n\t\tfunction setProjectionFromUnion( camera, cameraL, cameraR ) {\n\n\t\t\tcameraLPos.setFromMatrixPosition( cameraL.matrixWorld );\n\t\t\tcameraRPos.setFromMatrixPosition( cameraR.matrixWorld );\n\n\t\t\tconst ipd = cameraLPos.distanceTo( cameraRPos );\n\n\t\t\tconst projL = cameraL.projectionMatrix.elements;\n\t\t\tconst projR = cameraR.projectionMatrix.elements;\n\n\t\t\t// VR systems will have identical far and near planes, and\n\t\t\t// most likely identical top and bottom frustum extents.\n\t\t\t// Use the left camera for these values.\n\t\t\tconst near = projL[ 14 ] / ( projL[ 10 ] - 1 );\n\t\t\tconst far = projL[ 14 ] / ( projL[ 10 ] + 1 );\n\t\t\tconst topFov = ( projL[ 9 ] + 1 ) / projL[ 5 ];\n\t\t\tconst bottomFov = ( projL[ 9 ] - 1 ) / projL[ 5 ];\n\n\t\t\tconst leftFov = ( projL[ 8 ] - 1 ) / projL[ 0 ];\n\t\t\tconst rightFov = ( projR[ 8 ] + 1 ) / projR[ 0 ];\n\t\t\tconst left = near * leftFov;\n\t\t\tconst right = near * rightFov;\n\n\t\t\t// Calculate the new camera's position offset from the\n\t\t\t// left camera. xOffset should be roughly half `ipd`.\n\t\t\tconst zOffset = ipd / ( - leftFov + rightFov );\n\t\t\tconst xOffset = zOffset * - leftFov;\n\n\t\t\t// TODO: Better way to apply this offset?\n\t\t\tcameraL.matrixWorld.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.translateX( xOffset );\n\t\t\tcamera.translateZ( zOffset );\n\t\t\tcamera.matrixWorld.compose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.matrixWorldInverse.copy( camera.matrixWorld ).invert();\n\n\t\t\t// Find the union of the frustum values of the cameras and scale\n\t\t\t// the values so that the near plane's position does not change in world space,\n\t\t\t// although must now be relative to the new union camera.\n\t\t\tconst near2 = near + zOffset;\n\t\t\tconst far2 = far + zOffset;\n\t\t\tconst left2 = left - xOffset;\n\t\t\tconst right2 = right + ( ipd - xOffset );\n\t\t\tconst top2 = topFov * far / far2 * near2;\n\t\t\tconst bottom2 = bottomFov * far / far2 * near2;\n\n\t\t\tcamera.projectionMatrix.makePerspective( left2, right2, top2, bottom2, near2, far2 );\n\t\t\tcamera.projectionMatrixInverse.copy( camera.projectionMatrix ).invert();\n\n\t\t}\n\n\t\tfunction updateCamera( camera, parent ) {\n\n\t\t\tif ( parent === null ) {\n\n\t\t\t\tcamera.matrixWorld.copy( camera.matrix );\n\n\t\t\t} else {\n\n\t\t\t\tcamera.matrixWorld.multiplyMatrices( parent.matrixWorld, camera.matrix );\n\n\t\t\t}\n\n\t\t\tcamera.matrixWorldInverse.copy( camera.matrixWorld ).invert();\n\n\t\t}\n\n\t\tthis.updateCamera = function ( camera ) {\n\n\t\t\tif ( session === null ) return;\n\n\t\t\tcameraXR.near = cameraR.near = cameraL.near = camera.near;\n\t\t\tcameraXR.far = cameraR.far = cameraL.far = camera.far;\n\n\t\t\tif ( _currentDepthNear !== cameraXR.near || _currentDepthFar !== cameraXR.far ) {\n\n\t\t\t\t// Note that the new renderState won't apply until the next frame. See #18320\n\n\t\t\t\tsession.updateRenderState( {\n\t\t\t\t\tdepthNear: cameraXR.near,\n\t\t\t\t\tdepthFar: cameraXR.far\n\t\t\t\t} );\n\n\t\t\t\t_currentDepthNear = cameraXR.near;\n\t\t\t\t_currentDepthFar = cameraXR.far;\n\n\t\t\t}\n\n\t\t\tconst parent = camera.parent;\n\t\t\tconst cameras = cameraXR.cameras;\n\n\t\t\tupdateCamera( cameraXR, parent );\n\n\t\t\tfor ( let i = 0; i < cameras.length; i ++ ) {\n\n\t\t\t\tupdateCamera( cameras[ i ], parent );\n\n\t\t\t}\n\n\t\t\t// update projection matrix for proper view frustum culling\n\n\t\t\tif ( cameras.length === 2 ) {\n\n\t\t\t\tsetProjectionFromUnion( cameraXR, cameraL, cameraR );\n\n\t\t\t} else {\n\n\t\t\t\t// assume single camera setup (AR)\n\n\t\t\t\tcameraXR.projectionMatrix.copy( cameraL.projectionMatrix );\n\n\t\t\t}\n\n\t\t\t// update user camera and its children\n\n\t\t\tupdateUserCamera( camera, cameraXR, parent );\n\n\t\t};\n\n\t\tfunction updateUserCamera( camera, cameraXR, parent ) {\n\n\t\t\tif ( parent === null ) {\n\n\t\t\t\tcamera.matrix.copy( cameraXR.matrixWorld );\n\n\t\t\t} else {\n\n\t\t\t\tcamera.matrix.copy( parent.matrixWorld );\n\t\t\t\tcamera.matrix.invert();\n\t\t\t\tcamera.matrix.multiply( cameraXR.matrixWorld );\n\n\t\t\t}\n\n\t\t\tcamera.matrix.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.updateMatrixWorld( true );\n\n\t\t\tcamera.projectionMatrix.copy( cameraXR.projectionMatrix );\n\t\t\tcamera.projectionMatrixInverse.copy( cameraXR.projectionMatrixInverse );\n\n\t\t\tif ( camera.isPerspectiveCamera ) {\n\n\t\t\t\tcamera.fov = RAD2DEG * 2 * Math.atan( 1 / camera.projectionMatrix.elements[ 5 ] );\n\t\t\t\tcamera.zoom = 1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.getCamera = function () {\n\n\t\t\treturn cameraXR;\n\n\t\t};\n\n\t\tthis.getFoveation = function () {\n\n\t\t\tif ( glProjLayer === null && glBaseLayer === null ) {\n\n\t\t\t\treturn undefined;\n\n\t\t\t}\n\n\t\t\treturn foveation;\n\n\t\t};\n\n\t\tthis.setFoveation = function ( value ) {\n\n\t\t\t// 0 = no foveation = full resolution\n\t\t\t// 1 = maximum foveation = the edges render at lower resolution\n\n\t\t\tfoveation = value;\n\n\t\t\tif ( glProjLayer !== null ) {\n\n\t\t\t\tglProjLayer.fixedFoveation = value;\n\n\t\t\t}\n\n\t\t\tif ( glBaseLayer !== null && glBaseLayer.fixedFoveation !== undefined ) {\n\n\t\t\t\tglBaseLayer.fixedFoveation = value;\n\n\t\t\t}\n\n\t\t};\n\n\t\t// Animation Loop\n\n\t\tlet onAnimationFrameCallback = null;\n\n\t\tfunction onAnimationFrame( time, frame ) {\n\n\t\t\tpose = frame.getViewerPose( customReferenceSpace || referenceSpace );\n\t\t\txrFrame = frame;\n\n\t\t\tif ( pose !== null ) {\n\n\t\t\t\tconst views = pose.views;\n\n\t\t\t\tif ( glBaseLayer !== null ) {\n\n\t\t\t\t\trenderer.setRenderTargetFramebuffer( newRenderTarget, glBaseLayer.framebuffer );\n\t\t\t\t\trenderer.setRenderTarget( newRenderTarget );\n\n\t\t\t\t}\n\n\t\t\t\tlet cameraXRNeedsUpdate = false;\n\n\t\t\t\t// check if it's necessary to rebuild cameraXR's camera list\n\n\t\t\t\tif ( views.length !== cameraXR.cameras.length ) {\n\n\t\t\t\t\tcameraXR.cameras.length = 0;\n\t\t\t\t\tcameraXRNeedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < views.length; i ++ ) {\n\n\t\t\t\t\tconst view = views[ i ];\n\n\t\t\t\t\tlet viewport = null;\n\n\t\t\t\t\tif ( glBaseLayer !== null ) {\n\n\t\t\t\t\t\tviewport = glBaseLayer.getViewport( view );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst glSubImage = glBinding.getViewSubImage( glProjLayer, view );\n\t\t\t\t\t\tviewport = glSubImage.viewport;\n\n\t\t\t\t\t\t// For side-by-side projection, we only produce a single texture for both eyes.\n\t\t\t\t\t\tif ( i === 0 ) {\n\n\t\t\t\t\t\t\trenderer.setRenderTargetTextures(\n\t\t\t\t\t\t\t\tnewRenderTarget,\n\t\t\t\t\t\t\t\tglSubImage.colorTexture,\n\t\t\t\t\t\t\t\tglProjLayer.ignoreDepthValues ? undefined : glSubImage.depthStencilTexture );\n\n\t\t\t\t\t\t\trenderer.setRenderTarget( newRenderTarget );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tlet camera = cameras[ i ];\n\n\t\t\t\t\tif ( camera === undefined ) {\n\n\t\t\t\t\t\tcamera = new PerspectiveCamera();\n\t\t\t\t\t\tcamera.layers.enable( i );\n\t\t\t\t\t\tcamera.viewport = new Vector4();\n\t\t\t\t\t\tcameras[ i ] = camera;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcamera.matrix.fromArray( view.transform.matrix );\n\t\t\t\t\tcamera.matrix.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\t\t\tcamera.projectionMatrix.fromArray( view.projectionMatrix );\n\t\t\t\t\tcamera.projectionMatrixInverse.copy( camera.projectionMatrix ).invert();\n\t\t\t\t\tcamera.viewport.set( viewport.x, viewport.y, viewport.width, viewport.height );\n\n\t\t\t\t\tif ( i === 0 ) {\n\n\t\t\t\t\t\tcameraXR.matrix.copy( camera.matrix );\n\t\t\t\t\t\tcameraXR.matrix.decompose( cameraXR.position, cameraXR.quaternion, cameraXR.scale );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( cameraXRNeedsUpdate === true ) {\n\n\t\t\t\t\t\tcameraXR.cameras.push( camera );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\tconst inputSource = controllerInputSources[ i ];\n\t\t\t\tconst controller = controllers[ i ];\n\n\t\t\t\tif ( inputSource !== null && controller !== undefined ) {\n\n\t\t\t\t\tcontroller.update( inputSource, frame, customReferenceSpace || referenceSpace );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( onAnimationFrameCallback ) onAnimationFrameCallback( time, frame );\n\n\t\t\tif ( frame.detectedPlanes ) {\n\n\t\t\t\tscope.dispatchEvent( { type: 'planesdetected', data: frame } );\n\n\t\t\t}\n\n\t\t\txrFrame = null;\n\n\t\t}\n\n\t\tconst animation = new WebGLAnimation();\n\n\t\tanimation.setAnimationLoop( onAnimationFrame );\n\n\t\tthis.setAnimationLoop = function ( callback ) {\n\n\t\t\tonAnimationFrameCallback = callback;\n\n\t\t};\n\n\t\tthis.dispose = function () {};\n\n\t}\n\n}\n\nfunction WebGLMaterials( renderer, properties ) {\n\n\tfunction refreshTransformUniform( map, uniform ) {\n\n\t\tif ( map.matrixAutoUpdate === true ) {\n\n\t\t\tmap.updateMatrix();\n\n\t\t}\n\n\t\tuniform.value.copy( map.matrix );\n\n\t}\n\n\tfunction refreshFogUniforms( uniforms, fog ) {\n\n\t\tfog.color.getRGB( uniforms.fogColor.value, getUnlitUniformColorSpace( renderer ) );\n\n\t\tif ( fog.isFog ) {\n\n\t\t\tuniforms.fogNear.value = fog.near;\n\t\t\tuniforms.fogFar.value = fog.far;\n\n\t\t} else if ( fog.isFogExp2 ) {\n\n\t\t\tuniforms.fogDensity.value = fog.density;\n\n\t\t}\n\n\t}\n\n\tfunction refreshMaterialUniforms( uniforms, material, pixelRatio, height, transmissionRenderTarget ) {\n\n\t\tif ( material.isMeshBasicMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshLambertMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshToonMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsToon( uniforms, material );\n\n\t\t} else if ( material.isMeshPhongMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsPhong( uniforms, material );\n\n\t\t} else if ( material.isMeshStandardMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsStandard( uniforms, material );\n\n\t\t\tif ( material.isMeshPhysicalMaterial ) {\n\n\t\t\t\trefreshUniformsPhysical( uniforms, material, transmissionRenderTarget );\n\n\t\t\t}\n\n\t\t} else if ( material.isMeshMatcapMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsMatcap( uniforms, material );\n\n\t\t} else if ( material.isMeshDepthMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshDistanceMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsDistance( uniforms, material );\n\n\t\t} else if ( material.isMeshNormalMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isLineBasicMaterial ) {\n\n\t\t\trefreshUniformsLine( uniforms, material );\n\n\t\t\tif ( material.isLineDashedMaterial ) {\n\n\t\t\t\trefreshUniformsDash( uniforms, material );\n\n\t\t\t}\n\n\t\t} else if ( material.isPointsMaterial ) {\n\n\t\t\trefreshUniformsPoints( uniforms, material, pixelRatio, height );\n\n\t\t} else if ( material.isSpriteMaterial ) {\n\n\t\t\trefreshUniformsSprites( uniforms, material );\n\n\t\t} else if ( material.isShadowMaterial ) {\n\n\t\t\tuniforms.color.value.copy( material.color );\n\t\t\tuniforms.opacity.value = material.opacity;\n\n\t\t} else if ( material.isShaderMaterial ) {\n\n\t\t\tmaterial.uniformsNeedUpdate = false; // #15581\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsCommon( uniforms, material ) {\n\n\t\tuniforms.opacity.value = material.opacity;\n\n\t\tif ( material.color ) {\n\n\t\t\tuniforms.diffuse.value.copy( material.color );\n\n\t\t}\n\n\t\tif ( material.emissive ) {\n\n\t\t\tuniforms.emissive.value.copy( material.emissive ).multiplyScalar( material.emissiveIntensity );\n\n\t\t}\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.bumpMap ) {\n\n\t\t\tuniforms.bumpMap.value = material.bumpMap;\n\n\t\t\trefreshTransformUniform( material.bumpMap, uniforms.bumpMapTransform );\n\n\t\t\tuniforms.bumpScale.value = material.bumpScale;\n\n\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\tuniforms.bumpScale.value *= - 1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.normalMap ) {\n\n\t\t\tuniforms.normalMap.value = material.normalMap;\n\n\t\t\trefreshTransformUniform( material.normalMap, uniforms.normalMapTransform );\n\n\t\t\tuniforms.normalScale.value.copy( material.normalScale );\n\n\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\tuniforms.normalScale.value.negate();\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.displacementMap ) {\n\n\t\t\tuniforms.displacementMap.value = material.displacementMap;\n\n\t\t\trefreshTransformUniform( material.displacementMap, uniforms.displacementMapTransform );\n\n\t\t\tuniforms.displacementScale.value = material.displacementScale;\n\t\t\tuniforms.displacementBias.value = material.displacementBias;\n\n\t\t}\n\n\t\tif ( material.emissiveMap ) {\n\n\t\t\tuniforms.emissiveMap.value = material.emissiveMap;\n\n\t\t\trefreshTransformUniform( material.emissiveMap, uniforms.emissiveMapTransform );\n\n\t\t}\n\n\t\tif ( material.specularMap ) {\n\n\t\t\tuniforms.specularMap.value = material.specularMap;\n\n\t\t\trefreshTransformUniform( material.specularMap, uniforms.specularMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t\tconst envMap = properties.get( material ).envMap;\n\n\t\tif ( envMap ) {\n\n\t\t\tuniforms.envMap.value = envMap;\n\n\t\t\tuniforms.flipEnvMap.value = ( envMap.isCubeTexture && envMap.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t\tuniforms.reflectivity.value = material.reflectivity;\n\t\t\tuniforms.ior.value = material.ior;\n\t\t\tuniforms.refractionRatio.value = material.refractionRatio;\n\n\t\t}\n\n\t\tif ( material.lightMap ) {\n\n\t\t\tuniforms.lightMap.value = material.lightMap;\n\n\t\t\t// artist-friendly light intensity scaling factor\n\t\t\tconst scaleFactor = ( renderer._useLegacyLights === true ) ? Math.PI : 1;\n\n\t\t\tuniforms.lightMapIntensity.value = material.lightMapIntensity * scaleFactor;\n\n\t\t\trefreshTransformUniform( material.lightMap, uniforms.lightMapTransform );\n\n\t\t}\n\n\t\tif ( material.aoMap ) {\n\n\t\t\tuniforms.aoMap.value = material.aoMap;\n\t\t\tuniforms.aoMapIntensity.value = material.aoMapIntensity;\n\n\t\t\trefreshTransformUniform( material.aoMap, uniforms.aoMapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsLine( uniforms, material ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsDash( uniforms, material ) {\n\n\t\tuniforms.dashSize.value = material.dashSize;\n\t\tuniforms.totalSize.value = material.dashSize + material.gapSize;\n\t\tuniforms.scale.value = material.scale;\n\n\t}\n\n\tfunction refreshUniformsPoints( uniforms, material, pixelRatio, height ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\t\tuniforms.size.value = material.size * pixelRatio;\n\t\tuniforms.scale.value = height * 0.5;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.uvTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsSprites( uniforms, material ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\t\tuniforms.rotation.value = material.rotation;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsPhong( uniforms, material ) {\n\n\t\tuniforms.specular.value.copy( material.specular );\n\t\tuniforms.shininess.value = Math.max( material.shininess, 1e-4 ); // to prevent pow( 0.0, 0.0 )\n\n\t}\n\n\tfunction refreshUniformsToon( uniforms, material ) {\n\n\t\tif ( material.gradientMap ) {\n\n\t\t\tuniforms.gradientMap.value = material.gradientMap;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsStandard( uniforms, material ) {\n\n\t\tuniforms.metalness.value = material.metalness;\n\n\t\tif ( material.metalnessMap ) {\n\n\t\t\tuniforms.metalnessMap.value = material.metalnessMap;\n\n\t\t\trefreshTransformUniform( material.metalnessMap, uniforms.metalnessMapTransform );\n\n\t\t}\n\n\t\tuniforms.roughness.value = material.roughness;\n\n\t\tif ( material.roughnessMap ) {\n\n\t\t\tuniforms.roughnessMap.value = material.roughnessMap;\n\n\t\t\trefreshTransformUniform( material.roughnessMap, uniforms.roughnessMapTransform );\n\n\t\t}\n\n\t\tconst envMap = properties.get( material ).envMap;\n\n\t\tif ( envMap ) {\n\n\t\t\t//uniforms.envMap.value = material.envMap; // part of uniforms common\n\t\t\tuniforms.envMapIntensity.value = material.envMapIntensity;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsPhysical( uniforms, material, transmissionRenderTarget ) {\n\n\t\tuniforms.ior.value = material.ior; // also part of uniforms common\n\n\t\tif ( material.sheen > 0 ) {\n\n\t\t\tuniforms.sheenColor.value.copy( material.sheenColor ).multiplyScalar( material.sheen );\n\n\t\t\tuniforms.sheenRoughness.value = material.sheenRoughness;\n\n\t\t\tif ( material.sheenColorMap ) {\n\n\t\t\t\tuniforms.sheenColorMap.value = material.sheenColorMap;\n\n\t\t\t\trefreshTransformUniform( material.sheenColorMap, uniforms.sheenColorMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.sheenRoughnessMap ) {\n\n\t\t\t\tuniforms.sheenRoughnessMap.value = material.sheenRoughnessMap;\n\n\t\t\t\trefreshTransformUniform( material.sheenRoughnessMap, uniforms.sheenRoughnessMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.clearcoat > 0 ) {\n\n\t\t\tuniforms.clearcoat.value = material.clearcoat;\n\t\t\tuniforms.clearcoatRoughness.value = material.clearcoatRoughness;\n\n\t\t\tif ( material.clearcoatMap ) {\n\n\t\t\t\tuniforms.clearcoatMap.value = material.clearcoatMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatMap, uniforms.clearcoatMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.clearcoatRoughnessMap ) {\n\n\t\t\t\tuniforms.clearcoatRoughnessMap.value = material.clearcoatRoughnessMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatRoughnessMap, uniforms.clearcoatRoughnessMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.clearcoatNormalMap ) {\n\n\t\t\t\tuniforms.clearcoatNormalMap.value = material.clearcoatNormalMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatNormalMap, uniforms.clearcoatNormalMapTransform );\n\n\t\t\t\tuniforms.clearcoatNormalScale.value.copy( material.clearcoatNormalScale );\n\n\t\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\t\tuniforms.clearcoatNormalScale.value.negate();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.iridescence > 0 ) {\n\n\t\t\tuniforms.iridescence.value = material.iridescence;\n\t\t\tuniforms.iridescenceIOR.value = material.iridescenceIOR;\n\t\t\tuniforms.iridescenceThicknessMinimum.value = material.iridescenceThicknessRange[ 0 ];\n\t\t\tuniforms.iridescenceThicknessMaximum.value = material.iridescenceThicknessRange[ 1 ];\n\n\t\t\tif ( material.iridescenceMap ) {\n\n\t\t\t\tuniforms.iridescenceMap.value = material.iridescenceMap;\n\n\t\t\t\trefreshTransformUniform( material.iridescenceMap, uniforms.iridescenceMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.iridescenceThicknessMap ) {\n\n\t\t\t\tuniforms.iridescenceThicknessMap.value = material.iridescenceThicknessMap;\n\n\t\t\t\trefreshTransformUniform( material.iridescenceThicknessMap, uniforms.iridescenceThicknessMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.transmission > 0 ) {\n\n\t\t\tuniforms.transmission.value = material.transmission;\n\t\t\tuniforms.transmissionSamplerMap.value = transmissionRenderTarget.texture;\n\t\t\tuniforms.transmissionSamplerSize.value.set( transmissionRenderTarget.width, transmissionRenderTarget.height );\n\n\t\t\tif ( material.transmissionMap ) {\n\n\t\t\t\tuniforms.transmissionMap.value = material.transmissionMap;\n\n\t\t\t\trefreshTransformUniform( material.transmissionMap, uniforms.transmissionMapTransform );\n\n\t\t\t}\n\n\t\t\tuniforms.thickness.value = material.thickness;\n\n\t\t\tif ( material.thicknessMap ) {\n\n\t\t\t\tuniforms.thicknessMap.value = material.thicknessMap;\n\n\t\t\t\trefreshTransformUniform( material.thicknessMap, uniforms.thicknessMapTransform );\n\n\t\t\t}\n\n\t\t\tuniforms.attenuationDistance.value = material.attenuationDistance;\n\t\t\tuniforms.attenuationColor.value.copy( material.attenuationColor );\n\n\t\t}\n\n\t\tif ( material.anisotropy > 0 ) {\n\n\t\t\tuniforms.anisotropyVector.value.set( material.anisotropy * Math.cos( material.anisotropyRotation ), material.anisotropy * Math.sin( material.anisotropyRotation ) );\n\n\t\t\tif ( material.anisotropyMap ) {\n\n\t\t\t\tuniforms.anisotropyMap.value = material.anisotropyMap;\n\n\t\t\t\trefreshTransformUniform( material.anisotropyMap, uniforms.anisotropyMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tuniforms.specularIntensity.value = material.specularIntensity;\n\t\tuniforms.specularColor.value.copy( material.specularColor );\n\n\t\tif ( material.specularColorMap ) {\n\n\t\t\tuniforms.specularColorMap.value = material.specularColorMap;\n\n\t\t\trefreshTransformUniform( material.specularColorMap, uniforms.specularColorMapTransform );\n\n\t\t}\n\n\t\tif ( material.specularIntensityMap ) {\n\n\t\t\tuniforms.specularIntensityMap.value = material.specularIntensityMap;\n\n\t\t\trefreshTransformUniform( material.specularIntensityMap, uniforms.specularIntensityMapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsMatcap( uniforms, material ) {\n\n\t\tif ( material.matcap ) {\n\n\t\t\tuniforms.matcap.value = material.matcap;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsDistance( uniforms, material ) {\n\n\t\tconst light = properties.get( material ).light;\n\n\t\tuniforms.referencePosition.value.setFromMatrixPosition( light.matrixWorld );\n\t\tuniforms.nearDistance.value = light.shadow.camera.near;\n\t\tuniforms.farDistance.value = light.shadow.camera.far;\n\n\t}\n\n\treturn {\n\t\trefreshFogUniforms: refreshFogUniforms,\n\t\trefreshMaterialUniforms: refreshMaterialUniforms\n\t};\n\n}\n\nfunction WebGLUniformsGroups( gl, info, capabilities, state ) {\n\n\tlet buffers = {};\n\tlet updateList = {};\n\tlet allocatedBindingPoints = [];\n\n\tconst maxBindingPoints = ( capabilities.isWebGL2 ) ? gl.getParameter( gl.MAX_UNIFORM_BUFFER_BINDINGS ) : 0; // binding points are global whereas block indices are per shader program\n\n\tfunction bind( uniformsGroup, program ) {\n\n\t\tconst webglProgram = program.program;\n\t\tstate.uniformBlockBinding( uniformsGroup, webglProgram );\n\n\t}\n\n\tfunction update( uniformsGroup, program ) {\n\n\t\tlet buffer = buffers[ uniformsGroup.id ];\n\n\t\tif ( buffer === undefined ) {\n\n\t\t\tprepareUniformsGroup( uniformsGroup );\n\n\t\t\tbuffer = createBuffer( uniformsGroup );\n\t\t\tbuffers[ uniformsGroup.id ] = buffer;\n\n\t\t\tuniformsGroup.addEventListener( 'dispose', onUniformsGroupsDispose );\n\n\t\t}\n\n\t\t// ensure to update the binding points/block indices mapping for this program\n\n\t\tconst webglProgram = program.program;\n\t\tstate.updateUBOMapping( uniformsGroup, webglProgram );\n\n\t\t// update UBO once per frame\n\n\t\tconst frame = info.render.frame;\n\n\t\tif ( updateList[ uniformsGroup.id ] !== frame ) {\n\n\t\t\tupdateBufferData( uniformsGroup );\n\n\t\t\tupdateList[ uniformsGroup.id ] = frame;\n\n\t\t}\n\n\t}\n\n\tfunction createBuffer( uniformsGroup ) {\n\n\t\t// the setup of an UBO is independent of a particular shader program but global\n\n\t\tconst bindingPointIndex = allocateBindingPointIndex();\n\t\tuniformsGroup.__bindingPointIndex = bindingPointIndex;\n\n\t\tconst buffer = gl.createBuffer();\n\t\tconst size = uniformsGroup.__size;\n\t\tconst usage = uniformsGroup.usage;\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, buffer );\n\t\tgl.bufferData( gl.UNIFORM_BUFFER, size, usage );\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, null );\n\t\tgl.bindBufferBase( gl.UNIFORM_BUFFER, bindingPointIndex, buffer );\n\n\t\treturn buffer;\n\n\t}\n\n\tfunction allocateBindingPointIndex() {\n\n\t\tfor ( let i = 0; i < maxBindingPoints; i ++ ) {\n\n\t\t\tif ( allocatedBindingPoints.indexOf( i ) === - 1 ) {\n\n\t\t\t\tallocatedBindingPoints.push( i );\n\t\t\t\treturn i;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconsole.error( 'THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached.' );\n\n\t\treturn 0;\n\n\t}\n\n\tfunction updateBufferData( uniformsGroup ) {\n\n\t\tconst buffer = buffers[ uniformsGroup.id ];\n\t\tconst uniforms = uniformsGroup.uniforms;\n\t\tconst cache = uniformsGroup.__cache;\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, buffer );\n\n\t\tfor ( let i = 0, il = uniforms.length; i < il; i ++ ) {\n\n\t\t\tconst uniformArray = Array.isArray( uniforms[ i ] ) ? uniforms[ i ] : [ uniforms[ i ] ];\n\n\t\t\tfor ( let j = 0, jl = uniformArray.length; j < jl; j ++ ) {\n\n\t\t\t\tconst uniform = uniformArray[ j ];\n\n\t\t\t\tif ( hasUniformChanged( uniform, i, j, cache ) === true ) {\n\n\t\t\t\t\tconst offset = uniform.__offset;\n\n\t\t\t\t\tconst values = Array.isArray( uniform.value ) ? uniform.value : [ uniform.value ];\n\n\t\t\t\t\tlet arrayOffset = 0;\n\n\t\t\t\t\tfor ( let k = 0; k < values.length; k ++ ) {\n\n\t\t\t\t\t\tconst value = values[ k ];\n\n\t\t\t\t\t\tconst info = getUniformSize( value );\n\n\t\t\t\t\t\t// TODO add integer and struct support\n\t\t\t\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\t\t\t\tuniform.__data[ 0 ] = value;\n\t\t\t\t\t\t\tgl.bufferSubData( gl.UNIFORM_BUFFER, offset + arrayOffset, uniform.__data );\n\n\t\t\t\t\t\t} else if ( value.isMatrix3 ) {\n\n\t\t\t\t\t\t\t// manually converting 3x3 to 3x4\n\n\t\t\t\t\t\t\tuniform.__data[ 0 ] = value.elements[ 0 ];\n\t\t\t\t\t\t\tuniform.__data[ 1 ] = value.elements[ 1 ];\n\t\t\t\t\t\t\tuniform.__data[ 2 ] = value.elements[ 2 ];\n\t\t\t\t\t\t\tuniform.__data[ 3 ] = 0;\n\t\t\t\t\t\t\tuniform.__data[ 4 ] = value.elements[ 3 ];\n\t\t\t\t\t\t\tuniform.__data[ 5 ] = value.elements[ 4 ];\n\t\t\t\t\t\t\tuniform.__data[ 6 ] = value.elements[ 5 ];\n\t\t\t\t\t\t\tuniform.__data[ 7 ] = 0;\n\t\t\t\t\t\t\tuniform.__data[ 8 ] = value.elements[ 6 ];\n\t\t\t\t\t\t\tuniform.__data[ 9 ] = value.elements[ 7 ];\n\t\t\t\t\t\t\tuniform.__data[ 10 ] = value.elements[ 8 ];\n\t\t\t\t\t\t\tuniform.__data[ 11 ] = 0;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tvalue.toArray( uniform.__data, arrayOffset );\n\n\t\t\t\t\t\t\tarrayOffset += info.storage / Float32Array.BYTES_PER_ELEMENT;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tgl.bufferSubData( gl.UNIFORM_BUFFER, offset, uniform.__data );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, null );\n\n\t}\n\n\tfunction hasUniformChanged( uniform, index, indexArray, cache ) {\n\n\t\tconst value = uniform.value;\n\t\tconst indexString = index + '_' + indexArray;\n\n\t\tif ( cache[ indexString ] === undefined ) {\n\n\t\t\t// cache entry does not exist so far\n\n\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\tcache[ indexString ] = value;\n\n\t\t\t} else {\n\n\t\t\t\tcache[ indexString ] = value.clone();\n\n\t\t\t}\n\n\t\t\treturn true;\n\n\t\t} else {\n\n\t\t\tconst cachedObject = cache[ indexString ];\n\n\t\t\t// compare current value with cached entry\n\n\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\tif ( cachedObject !== value ) {\n\n\t\t\t\t\tcache[ indexString ] = value;\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( cachedObject.equals( value ) === false ) {\n\n\t\t\t\t\tcachedObject.copy( value );\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tfunction prepareUniformsGroup( uniformsGroup ) {\n\n\t\t// determine total buffer size according to the STD140 layout\n\t\t// Hint: STD140 is the only supported layout in WebGL 2\n\n\t\tconst uniforms = uniformsGroup.uniforms;\n\n\t\tlet offset = 0; // global buffer offset in bytes\n\t\tconst chunkSize = 16; // size of a chunk in bytes\n\n\t\tfor ( let i = 0, l = uniforms.length; i < l; i ++ ) {\n\n\t\t\tconst uniformArray = Array.isArray( uniforms[ i ] ) ? uniforms[ i ] : [ uniforms[ i ] ];\n\n\t\t\tfor ( let j = 0, jl = uniformArray.length; j < jl; j ++ ) {\n\n\t\t\t\tconst uniform = uniformArray[ j ];\n\n\t\t\t\tconst values = Array.isArray( uniform.value ) ? uniform.value : [ uniform.value ];\n\n\t\t\t\tfor ( let k = 0, kl = values.length; k < kl; k ++ ) {\n\n\t\t\t\t\tconst value = values[ k ];\n\n\t\t\t\t\tconst info = getUniformSize( value );\n\n\t\t\t\t\t// Calculate the chunk offset\n\t\t\t\t\tconst chunkOffsetUniform = offset % chunkSize;\n\n\t\t\t\t\t// Check for chunk overflow\n\t\t\t\t\tif ( chunkOffsetUniform !== 0 && ( chunkSize - chunkOffsetUniform ) < info.boundary ) {\n\n\t\t\t\t\t\t// Add padding and adjust offset\n\t\t\t\t\t\toffset += ( chunkSize - chunkOffsetUniform );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the following two properties will be used for partial buffer updates\n\n\t\t\t\t\tuniform.__data = new Float32Array( info.storage / Float32Array.BYTES_PER_ELEMENT );\n\t\t\t\t\tuniform.__offset = offset;\n\n\n\t\t\t\t\t// Update the global offset\n\t\t\t\t\toffset += info.storage;\n\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ensure correct final padding\n\n\t\tconst chunkOffset = offset % chunkSize;\n\n\t\tif ( chunkOffset > 0 ) offset += ( chunkSize - chunkOffset );\n\n\t\t//\n\n\t\tuniformsGroup.__size = offset;\n\t\tuniformsGroup.__cache = {};\n\n\t\treturn this;\n\n\t}\n\n\tfunction getUniformSize( value ) {\n\n\t\tconst info = {\n\t\t\tboundary: 0, // bytes\n\t\t\tstorage: 0 // bytes\n\t\t};\n\n\t\t// determine sizes according to STD140\n\n\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t// float/int/bool\n\n\t\t\tinfo.boundary = 4;\n\t\t\tinfo.storage = 4;\n\n\t\t} else if ( value.isVector2 ) {\n\n\t\t\t// vec2\n\n\t\t\tinfo.boundary = 8;\n\t\t\tinfo.storage = 8;\n\n\t\t} else if ( value.isVector3 || value.isColor ) {\n\n\t\t\t// vec3\n\n\t\t\tinfo.boundary = 16;\n\t\t\tinfo.storage = 12; // evil: vec3 must start on a 16-byte boundary but it only consumes 12 bytes\n\n\t\t} else if ( value.isVector4 ) {\n\n\t\t\t// vec4\n\n\t\t\tinfo.boundary = 16;\n\t\t\tinfo.storage = 16;\n\n\t\t} else if ( value.isMatrix3 ) {\n\n\t\t\t// mat3 (in STD140 a 3x3 matrix is represented as 3x4)\n\n\t\t\tinfo.boundary = 48;\n\t\t\tinfo.storage = 48;\n\n\t\t} else if ( value.isMatrix4 ) {\n\n\t\t\t// mat4\n\n\t\t\tinfo.boundary = 64;\n\t\t\tinfo.storage = 64;\n\n\t\t} else if ( value.isTexture ) {\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group.' );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Unsupported uniform value type.', value );\n\n\t\t}\n\n\t\treturn info;\n\n\t}\n\n\tfunction onUniformsGroupsDispose( event ) {\n\n\t\tconst uniformsGroup = event.target;\n\n\t\tuniformsGroup.removeEventListener( 'dispose', onUniformsGroupsDispose );\n\n\t\tconst index = allocatedBindingPoints.indexOf( uniformsGroup.__bindingPointIndex );\n\t\tallocatedBindingPoints.splice( index, 1 );\n\n\t\tgl.deleteBuffer( buffers[ uniformsGroup.id ] );\n\n\t\tdelete buffers[ uniformsGroup.id ];\n\t\tdelete updateList[ uniformsGroup.id ];\n\n\t}\n\n\tfunction dispose() {\n\n\t\tfor ( const id in buffers ) {\n\n\t\t\tgl.deleteBuffer( buffers[ id ] );\n\n\t\t}\n\n\t\tallocatedBindingPoints = [];\n\t\tbuffers = {};\n\t\tupdateList = {};\n\n\t}\n\n\treturn {\n\n\t\tbind: bind,\n\t\tupdate: update,\n\n\t\tdispose: dispose\n\n\t};\n\n}\n\nclass WebGLRenderer {\n\n\tconstructor( parameters = {} ) {\n\n\t\tconst {\n\t\t\tcanvas = createCanvasElement(),\n\t\t\tcontext = null,\n\t\t\tdepth = true,\n\t\t\tstencil = true,\n\t\t\talpha = false,\n\t\t\tantialias = false,\n\t\t\tpremultipliedAlpha = true,\n\t\t\tpreserveDrawingBuffer = false,\n\t\t\tpowerPreference = 'default',\n\t\t\tfailIfMajorPerformanceCaveat = false,\n\t\t} = parameters;\n\n\t\tthis.isWebGLRenderer = true;\n\n\t\tlet _alpha;\n\n\t\tif ( context !== null ) {\n\n\t\t\t_alpha = context.getContextAttributes().alpha;\n\n\t\t} else {\n\n\t\t\t_alpha = alpha;\n\n\t\t}\n\n\t\tconst uintClearColor = new Uint32Array( 4 );\n\t\tconst intClearColor = new Int32Array( 4 );\n\n\t\tlet currentRenderList = null;\n\t\tlet currentRenderState = null;\n\n\t\t// render() can be called from within a callback triggered by another render.\n\t\t// We track this so that the nested render call gets its list and state isolated from the parent render call.\n\n\t\tconst renderListStack = [];\n\t\tconst renderStateStack = [];\n\n\t\t// public properties\n\n\t\tthis.domElement = canvas;\n\n\t\t// Debug configuration container\n\t\tthis.debug = {\n\n\t\t\t/**\n\t\t\t * Enables error checking and reporting when shader programs are being compiled\n\t\t\t * @type {boolean}\n\t\t\t */\n\t\t\tcheckShaderErrors: true,\n\t\t\t/**\n\t\t\t * Callback for custom error reporting.\n\t\t\t * @type {?Function}\n\t\t\t */\n\t\t\tonShaderError: null\n\t\t};\n\n\t\t// clearing\n\n\t\tthis.autoClear = true;\n\t\tthis.autoClearColor = true;\n\t\tthis.autoClearDepth = true;\n\t\tthis.autoClearStencil = true;\n\n\t\t// scene graph\n\n\t\tthis.sortObjects = true;\n\n\t\t// user-defined clipping\n\n\t\tthis.clippingPlanes = [];\n\t\tthis.localClippingEnabled = false;\n\n\t\t// physically based shading\n\n\t\tthis._outputColorSpace = SRGBColorSpace;\n\n\t\t// physical lights\n\n\t\tthis._useLegacyLights = false;\n\n\t\t// tone mapping\n\n\t\tthis.toneMapping = NoToneMapping;\n\t\tthis.toneMappingExposure = 1.0;\n\n\t\t// internal properties\n\n\t\tconst _this = this;\n\n\t\tlet _isContextLost = false;\n\n\t\t// internal state cache\n\n\t\tlet _currentActiveCubeFace = 0;\n\t\tlet _currentActiveMipmapLevel = 0;\n\t\tlet _currentRenderTarget = null;\n\t\tlet _currentMaterialId = - 1;\n\n\t\tlet _currentCamera = null;\n\n\t\tconst _currentViewport = new Vector4();\n\t\tconst _currentScissor = new Vector4();\n\t\tlet _currentScissorTest = null;\n\n\t\tconst _currentClearColor = new Color( 0x000000 );\n\t\tlet _currentClearAlpha = 0;\n\n\t\t//\n\n\t\tlet _width = canvas.width;\n\t\tlet _height = canvas.height;\n\n\t\tlet _pixelRatio = 1;\n\t\tlet _opaqueSort = null;\n\t\tlet _transparentSort = null;\n\n\t\tconst _viewport = new Vector4( 0, 0, _width, _height );\n\t\tconst _scissor = new Vector4( 0, 0, _width, _height );\n\t\tlet _scissorTest = false;\n\n\t\t// frustum\n\n\t\tconst _frustum = new Frustum();\n\n\t\t// clipping\n\n\t\tlet _clippingEnabled = false;\n\t\tlet _localClippingEnabled = false;\n\n\t\t// transmission\n\n\t\tlet _transmissionRenderTarget = null;\n\n\t\t// camera matrices cache\n\n\t\tconst _projScreenMatrix = new Matrix4();\n\n\t\tconst _vector2 = new Vector2();\n\t\tconst _vector3 = new Vector3();\n\n\t\tconst _emptyScene = { background: null, fog: null, environment: null, overrideMaterial: null, isScene: true };\n\n\t\tfunction getTargetPixelRatio() {\n\n\t\t\treturn _currentRenderTarget === null ? _pixelRatio : 1;\n\n\t\t}\n\n\t\t// initialize\n\n\t\tlet _gl = context;\n\n\t\tfunction getContext( contextNames, contextAttributes ) {\n\n\t\t\tfor ( let i = 0; i < contextNames.length; i ++ ) {\n\n\t\t\t\tconst contextName = contextNames[ i ];\n\t\t\t\tconst context = canvas.getContext( contextName, contextAttributes );\n\t\t\t\tif ( context !== null ) return context;\n\n\t\t\t}\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\ttry {\n\n\t\t\tconst contextAttributes = {\n\t\t\t\talpha: true,\n\t\t\t\tdepth,\n\t\t\t\tstencil,\n\t\t\t\tantialias,\n\t\t\t\tpremultipliedAlpha,\n\t\t\t\tpreserveDrawingBuffer,\n\t\t\t\tpowerPreference,\n\t\t\t\tfailIfMajorPerformanceCaveat,\n\t\t\t};\n\n\t\t\t// OffscreenCanvas does not have setAttribute, see #22811\n\t\t\tif ( 'setAttribute' in canvas ) canvas.setAttribute( 'data-engine', `three.js r${REVISION}` );\n\n\t\t\t// event listeners must be registered before WebGL context is created, see #12753\n\t\t\tcanvas.addEventListener( 'webglcontextlost', onContextLost, false );\n\t\t\tcanvas.addEventListener( 'webglcontextrestored', onContextRestore, false );\n\t\t\tcanvas.addEventListener( 'webglcontextcreationerror', onContextCreationError, false );\n\n\t\t\tif ( _gl === null ) {\n\n\t\t\t\tconst contextNames = [ 'webgl2', 'webgl', 'experimental-webgl' ];\n\n\t\t\t\tif ( _this.isWebGL1Renderer === true ) {\n\n\t\t\t\t\tcontextNames.shift();\n\n\t\t\t\t}\n\n\t\t\t\t_gl = getContext( contextNames, contextAttributes );\n\n\t\t\t\tif ( _gl === null ) {\n\n\t\t\t\t\tif ( getContext( contextNames ) ) {\n\n\t\t\t\t\t\tthrow new Error( 'Error creating WebGL context with your selected attributes.' );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthrow new Error( 'Error creating WebGL context.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( typeof WebGLRenderingContext !== 'undefined' && _gl instanceof WebGLRenderingContext ) { // @deprecated, r153\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163.' );\n\n\t\t\t}\n\n\t\t\t// Some experimental-webgl implementations do not have getShaderPrecisionFormat\n\n\t\t\tif ( _gl.getShaderPrecisionFormat === undefined ) {\n\n\t\t\t\t_gl.getShaderPrecisionFormat = function () {\n\n\t\t\t\t\treturn { 'rangeMin': 1, 'rangeMax': 1, 'precision': 1 };\n\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLRenderer: ' + error.message );\n\t\t\tthrow error;\n\n\t\t}\n\n\t\tlet extensions, capabilities, state, info;\n\t\tlet properties, textures, cubemaps, cubeuvmaps, attributes, geometries, objects;\n\t\tlet programCache, materials, renderLists, renderStates, clipping, shadowMap;\n\n\t\tlet background, morphtargets, bufferRenderer, indexedBufferRenderer;\n\n\t\tlet utils, bindingStates, uniformsGroups;\n\n\t\tfunction initGLContext() {\n\n\t\t\textensions = new WebGLExtensions( _gl );\n\n\t\t\tcapabilities = new WebGLCapabilities( _gl, extensions, parameters );\n\n\t\t\textensions.init( capabilities );\n\n\t\t\tutils = new WebGLUtils( _gl, extensions, capabilities );\n\n\t\t\tstate = new WebGLState( _gl, extensions, capabilities );\n\n\t\t\tinfo = new WebGLInfo( _gl );\n\t\t\tproperties = new WebGLProperties();\n\t\t\ttextures = new WebGLTextures( _gl, extensions, state, properties, capabilities, utils, info );\n\t\t\tcubemaps = new WebGLCubeMaps( _this );\n\t\t\tcubeuvmaps = new WebGLCubeUVMaps( _this );\n\t\t\tattributes = new WebGLAttributes( _gl, capabilities );\n\t\t\tbindingStates = new WebGLBindingStates( _gl, extensions, attributes, capabilities );\n\t\t\tgeometries = new WebGLGeometries( _gl, attributes, info, bindingStates );\n\t\t\tobjects = new WebGLObjects( _gl, geometries, attributes, info );\n\t\t\tmorphtargets = new WebGLMorphtargets( _gl, capabilities, textures );\n\t\t\tclipping = new WebGLClipping( properties );\n\t\t\tprogramCache = new WebGLPrograms( _this, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping );\n\t\t\tmaterials = new WebGLMaterials( _this, properties );\n\t\t\trenderLists = new WebGLRenderLists();\n\t\t\trenderStates = new WebGLRenderStates( extensions, capabilities );\n\t\t\tbackground = new WebGLBackground( _this, cubemaps, cubeuvmaps, state, objects, _alpha, premultipliedAlpha );\n\t\t\tshadowMap = new WebGLShadowMap( _this, objects, capabilities );\n\t\t\tuniformsGroups = new WebGLUniformsGroups( _gl, info, capabilities, state );\n\n\t\t\tbufferRenderer = new WebGLBufferRenderer( _gl, extensions, info, capabilities );\n\t\t\tindexedBufferRenderer = new WebGLIndexedBufferRenderer( _gl, extensions, info, capabilities );\n\n\t\t\tinfo.programs = programCache.programs;\n\n\t\t\t_this.capabilities = capabilities;\n\t\t\t_this.extensions = extensions;\n\t\t\t_this.properties = properties;\n\t\t\t_this.renderLists = renderLists;\n\t\t\t_this.shadowMap = shadowMap;\n\t\t\t_this.state = state;\n\t\t\t_this.info = info;\n\n\t\t}\n\n\t\tinitGLContext();\n\n\t\t// xr\n\n\t\tconst xr = new WebXRManager( _this, _gl );\n\n\t\tthis.xr = xr;\n\n\t\t// API\n\n\t\tthis.getContext = function () {\n\n\t\t\treturn _gl;\n\n\t\t};\n\n\t\tthis.getContextAttributes = function () {\n\n\t\t\treturn _gl.getContextAttributes();\n\n\t\t};\n\n\t\tthis.forceContextLoss = function () {\n\n\t\t\tconst extension = extensions.get( 'WEBGL_lose_context' );\n\t\t\tif ( extension ) extension.loseContext();\n\n\t\t};\n\n\t\tthis.forceContextRestore = function () {\n\n\t\t\tconst extension = extensions.get( 'WEBGL_lose_context' );\n\t\t\tif ( extension ) extension.restoreContext();\n\n\t\t};\n\n\t\tthis.getPixelRatio = function () {\n\n\t\t\treturn _pixelRatio;\n\n\t\t};\n\n\t\tthis.setPixelRatio = function ( value ) {\n\n\t\t\tif ( value === undefined ) return;\n\n\t\t\t_pixelRatio = value;\n\n\t\t\tthis.setSize( _width, _height, false );\n\n\t\t};\n\n\t\tthis.getSize = function ( target ) {\n\n\t\t\treturn target.set( _width, _height );\n\n\t\t};\n\n\t\tthis.setSize = function ( width, height, updateStyle = true ) {\n\n\t\t\tif ( xr.isPresenting ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Can\\'t change size while VR device is presenting.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t_width = width;\n\t\t\t_height = height;\n\n\t\t\tcanvas.width = Math.floor( width * _pixelRatio );\n\t\t\tcanvas.height = Math.floor( height * _pixelRatio );\n\n\t\t\tif ( updateStyle === true ) {\n\n\t\t\t\tcanvas.style.width = width + 'px';\n\t\t\t\tcanvas.style.height = height + 'px';\n\n\t\t\t}\n\n\t\t\tthis.setViewport( 0, 0, width, height );\n\n\t\t};\n\n\t\tthis.getDrawingBufferSize = function ( target ) {\n\n\t\t\treturn target.set( _width * _pixelRatio, _height * _pixelRatio ).floor();\n\n\t\t};\n\n\t\tthis.setDrawingBufferSize = function ( width, height, pixelRatio ) {\n\n\t\t\t_width = width;\n\t\t\t_height = height;\n\n\t\t\t_pixelRatio = pixelRatio;\n\n\t\t\tcanvas.width = Math.floor( width * pixelRatio );\n\t\t\tcanvas.height = Math.floor( height * pixelRatio );\n\n\t\t\tthis.setViewport( 0, 0, width, height );\n\n\t\t};\n\n\t\tthis.getCurrentViewport = function ( target ) {\n\n\t\t\treturn target.copy( _currentViewport );\n\n\t\t};\n\n\t\tthis.getViewport = function ( target ) {\n\n\t\t\treturn target.copy( _viewport );\n\n\t\t};\n\n\t\tthis.setViewport = function ( x, y, width, height ) {\n\n\t\t\tif ( x.isVector4 ) {\n\n\t\t\t\t_viewport.set( x.x, x.y, x.z, x.w );\n\n\t\t\t} else {\n\n\t\t\t\t_viewport.set( x, y, width, height );\n\n\t\t\t}\n\n\t\t\tstate.viewport( _currentViewport.copy( _viewport ).multiplyScalar( _pixelRatio ).floor() );\n\n\t\t};\n\n\t\tthis.getScissor = function ( target ) {\n\n\t\t\treturn target.copy( _scissor );\n\n\t\t};\n\n\t\tthis.setScissor = function ( x, y, width, height ) {\n\n\t\t\tif ( x.isVector4 ) {\n\n\t\t\t\t_scissor.set( x.x, x.y, x.z, x.w );\n\n\t\t\t} else {\n\n\t\t\t\t_scissor.set( x, y, width, height );\n\n\t\t\t}\n\n\t\t\tstate.scissor( _currentScissor.copy( _scissor ).multiplyScalar( _pixelRatio ).floor() );\n\n\t\t};\n\n\t\tthis.getScissorTest = function () {\n\n\t\t\treturn _scissorTest;\n\n\t\t};\n\n\t\tthis.setScissorTest = function ( boolean ) {\n\n\t\t\tstate.setScissorTest( _scissorTest = boolean );\n\n\t\t};\n\n\t\tthis.setOpaqueSort = function ( method ) {\n\n\t\t\t_opaqueSort = method;\n\n\t\t};\n\n\t\tthis.setTransparentSort = function ( method ) {\n\n\t\t\t_transparentSort = method;\n\n\t\t};\n\n\t\t// Clearing\n\n\t\tthis.getClearColor = function ( target ) {\n\n\t\t\treturn target.copy( background.getClearColor() );\n\n\t\t};\n\n\t\tthis.setClearColor = function () {\n\n\t\t\tbackground.setClearColor.apply( background, arguments );\n\n\t\t};\n\n\t\tthis.getClearAlpha = function () {\n\n\t\t\treturn background.getClearAlpha();\n\n\t\t};\n\n\t\tthis.setClearAlpha = function () {\n\n\t\t\tbackground.setClearAlpha.apply( background, arguments );\n\n\t\t};\n\n\t\tthis.clear = function ( color = true, depth = true, stencil = true ) {\n\n\t\t\tlet bits = 0;\n\n\t\t\tif ( color ) {\n\n\t\t\t\t// check if we're trying to clear an integer target\n\t\t\t\tlet isIntegerFormat = false;\n\t\t\t\tif ( _currentRenderTarget !== null ) {\n\n\t\t\t\t\tconst targetFormat = _currentRenderTarget.texture.format;\n\t\t\t\t\tisIntegerFormat = targetFormat === RGBAIntegerFormat ||\n\t\t\t\t\t\ttargetFormat === RGIntegerFormat ||\n\t\t\t\t\t\ttargetFormat === RedIntegerFormat;\n\n\t\t\t\t}\n\n\t\t\t\t// use the appropriate clear functions to clear the target if it's a signed\n\t\t\t\t// or unsigned integer target\n\t\t\t\tif ( isIntegerFormat ) {\n\n\t\t\t\t\tconst targetType = _currentRenderTarget.texture.type;\n\t\t\t\t\tconst isUnsignedType = targetType === UnsignedByteType ||\n\t\t\t\t\t\ttargetType === UnsignedIntType ||\n\t\t\t\t\t\ttargetType === UnsignedShortType ||\n\t\t\t\t\t\ttargetType === UnsignedInt248Type ||\n\t\t\t\t\t\ttargetType === UnsignedShort4444Type ||\n\t\t\t\t\t\ttargetType === UnsignedShort5551Type;\n\n\t\t\t\t\tconst clearColor = background.getClearColor();\n\t\t\t\t\tconst a = background.getClearAlpha();\n\t\t\t\t\tconst r = clearColor.r;\n\t\t\t\t\tconst g = clearColor.g;\n\t\t\t\t\tconst b = clearColor.b;\n\n\t\t\t\t\tif ( isUnsignedType ) {\n\n\t\t\t\t\t\tuintClearColor[ 0 ] = r;\n\t\t\t\t\t\tuintClearColor[ 1 ] = g;\n\t\t\t\t\t\tuintClearColor[ 2 ] = b;\n\t\t\t\t\t\tuintClearColor[ 3 ] = a;\n\t\t\t\t\t\t_gl.clearBufferuiv( _gl.COLOR, 0, uintClearColor );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tintClearColor[ 0 ] = r;\n\t\t\t\t\t\tintClearColor[ 1 ] = g;\n\t\t\t\t\t\tintClearColor[ 2 ] = b;\n\t\t\t\t\t\tintClearColor[ 3 ] = a;\n\t\t\t\t\t\t_gl.clearBufferiv( _gl.COLOR, 0, intClearColor );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbits |= _gl.COLOR_BUFFER_BIT;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( depth ) bits |= _gl.DEPTH_BUFFER_BIT;\n\t\t\tif ( stencil ) {\n\n\t\t\t\tbits |= _gl.STENCIL_BUFFER_BIT;\n\t\t\t\tthis.state.buffers.stencil.setMask( 0xffffffff );\n\n\t\t\t}\n\n\t\t\t_gl.clear( bits );\n\n\t\t};\n\n\t\tthis.clearColor = function () {\n\n\t\t\tthis.clear( true, false, false );\n\n\t\t};\n\n\t\tthis.clearDepth = function () {\n\n\t\t\tthis.clear( false, true, false );\n\n\t\t};\n\n\t\tthis.clearStencil = function () {\n\n\t\t\tthis.clear( false, false, true );\n\n\t\t};\n\n\t\t//\n\n\t\tthis.dispose = function () {\n\n\t\t\tcanvas.removeEventListener( 'webglcontextlost', onContextLost, false );\n\t\t\tcanvas.removeEventListener( 'webglcontextrestored', onContextRestore, false );\n\t\t\tcanvas.removeEventListener( 'webglcontextcreationerror', onContextCreationError, false );\n\n\t\t\trenderLists.dispose();\n\t\t\trenderStates.dispose();\n\t\t\tproperties.dispose();\n\t\t\tcubemaps.dispose();\n\t\t\tcubeuvmaps.dispose();\n\t\t\tobjects.dispose();\n\t\t\tbindingStates.dispose();\n\t\t\tuniformsGroups.dispose();\n\t\t\tprogramCache.dispose();\n\n\t\t\txr.dispose();\n\n\t\t\txr.removeEventListener( 'sessionstart', onXRSessionStart );\n\t\t\txr.removeEventListener( 'sessionend', onXRSessionEnd );\n\n\t\t\tif ( _transmissionRenderTarget ) {\n\n\t\t\t\t_transmissionRenderTarget.dispose();\n\t\t\t\t_transmissionRenderTarget = null;\n\n\t\t\t}\n\n\t\t\tanimation.stop();\n\n\t\t};\n\n\t\t// Events\n\n\t\tfunction onContextLost( event ) {\n\n\t\t\tevent.preventDefault();\n\n\t\t\tconsole.log( 'THREE.WebGLRenderer: Context Lost.' );\n\n\t\t\t_isContextLost = true;\n\n\t\t}\n\n\t\tfunction onContextRestore( /* event */ ) {\n\n\t\t\tconsole.log( 'THREE.WebGLRenderer: Context Restored.' );\n\n\t\t\t_isContextLost = false;\n\n\t\t\tconst infoAutoReset = info.autoReset;\n\t\t\tconst shadowMapEnabled = shadowMap.enabled;\n\t\t\tconst shadowMapAutoUpdate = shadowMap.autoUpdate;\n\t\t\tconst shadowMapNeedsUpdate = shadowMap.needsUpdate;\n\t\t\tconst shadowMapType = shadowMap.type;\n\n\t\t\tinitGLContext();\n\n\t\t\tinfo.autoReset = infoAutoReset;\n\t\t\tshadowMap.enabled = shadowMapEnabled;\n\t\t\tshadowMap.autoUpdate = shadowMapAutoUpdate;\n\t\t\tshadowMap.needsUpdate = shadowMapNeedsUpdate;\n\t\t\tshadowMap.type = shadowMapType;\n\n\t\t}\n\n\t\tfunction onContextCreationError( event ) {\n\n\t\t\tconsole.error( 'THREE.WebGLRenderer: A WebGL context could not be created. Reason: ', event.statusMessage );\n\n\t\t}\n\n\t\tfunction onMaterialDispose( event ) {\n\n\t\t\tconst material = event.target;\n\n\t\t\tmaterial.removeEventListener( 'dispose', onMaterialDispose );\n\n\t\t\tdeallocateMaterial( material );\n\n\t\t}\n\n\t\t// Buffer deallocation\n\n\t\tfunction deallocateMaterial( material ) {\n\n\t\t\treleaseMaterialProgramReferences( material );\n\n\t\t\tproperties.remove( material );\n\n\t\t}\n\n\n\t\tfunction releaseMaterialProgramReferences( material ) {\n\n\t\t\tconst programs = properties.get( material ).programs;\n\n\t\t\tif ( programs !== undefined ) {\n\n\t\t\t\tprograms.forEach( function ( program ) {\n\n\t\t\t\t\tprogramCache.releaseProgram( program );\n\n\t\t\t\t} );\n\n\t\t\t\tif ( material.isShaderMaterial ) {\n\n\t\t\t\t\tprogramCache.releaseShaderCache( material );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Buffer rendering\n\n\t\tthis.renderBufferDirect = function ( camera, scene, geometry, material, object, group ) {\n\n\t\t\tif ( scene === null ) scene = _emptyScene; // renderBufferDirect second parameter used to be fog (could be null)\n\n\t\t\tconst frontFaceCW = ( object.isMesh && object.matrixWorld.determinant() < 0 );\n\n\t\t\tconst program = setProgram( camera, scene, geometry, material, object );\n\n\t\t\tstate.setMaterial( material, frontFaceCW );\n\n\t\t\t//\n\n\t\t\tlet index = geometry.index;\n\t\t\tlet rangeFactor = 1;\n\n\t\t\tif ( material.wireframe === true ) {\n\n\t\t\t\tindex = geometries.getWireframeAttribute( geometry );\n\n\t\t\t\tif ( index === undefined ) return;\n\n\t\t\t\trangeFactor = 2;\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tconst drawRange = geometry.drawRange;\n\t\t\tconst position = geometry.attributes.position;\n\n\t\t\tlet drawStart = drawRange.start * rangeFactor;\n\t\t\tlet drawEnd = ( drawRange.start + drawRange.count ) * rangeFactor;\n\n\t\t\tif ( group !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, group.start * rangeFactor );\n\t\t\t\tdrawEnd = Math.min( drawEnd, ( group.start + group.count ) * rangeFactor );\n\n\t\t\t}\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, 0 );\n\t\t\t\tdrawEnd = Math.min( drawEnd, index.count );\n\n\t\t\t} else if ( position !== undefined && position !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, 0 );\n\t\t\t\tdrawEnd = Math.min( drawEnd, position.count );\n\n\t\t\t}\n\n\t\t\tconst drawCount = drawEnd - drawStart;\n\n\t\t\tif ( drawCount < 0 || drawCount === Infinity ) return;\n\n\t\t\t//\n\n\t\t\tbindingStates.setup( object, material, program, geometry, index );\n\n\t\t\tlet attribute;\n\t\t\tlet renderer = bufferRenderer;\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tattribute = attributes.get( index );\n\n\t\t\t\trenderer = indexedBufferRenderer;\n\t\t\t\trenderer.setIndex( attribute );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( object.isMesh ) {\n\n\t\t\t\tif ( material.wireframe === true ) {\n\n\t\t\t\t\tstate.setLineWidth( material.wireframeLinewidth * getTargetPixelRatio() );\n\t\t\t\t\trenderer.setMode( _gl.LINES );\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderer.setMode( _gl.TRIANGLES );\n\n\t\t\t\t}\n\n\t\t\t} else if ( object.isLine ) {\n\n\t\t\t\tlet lineWidth = material.linewidth;\n\n\t\t\t\tif ( lineWidth === undefined ) lineWidth = 1; // Not using Line*Material\n\n\t\t\t\tstate.setLineWidth( lineWidth * getTargetPixelRatio() );\n\n\t\t\t\tif ( object.isLineSegments ) {\n\n\t\t\t\t\trenderer.setMode( _gl.LINES );\n\n\t\t\t\t} else if ( object.isLineLoop ) {\n\n\t\t\t\t\trenderer.setMode( _gl.LINE_LOOP );\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderer.setMode( _gl.LINE_STRIP );\n\n\t\t\t\t}\n\n\t\t\t} else if ( object.isPoints ) {\n\n\t\t\t\trenderer.setMode( _gl.POINTS );\n\n\t\t\t} else if ( object.isSprite ) {\n\n\t\t\t\trenderer.setMode( _gl.TRIANGLES );\n\n\t\t\t}\n\n\t\t\tif ( object.isBatchedMesh ) {\n\n\t\t\t\trenderer.renderMultiDraw( object._multiDrawStarts, object._multiDrawCounts, object._multiDrawCount );\n\n\t\t\t} else if ( object.isInstancedMesh ) {\n\n\t\t\t\trenderer.renderInstances( drawStart, drawCount, object.count );\n\n\t\t\t} else if ( geometry.isInstancedBufferGeometry ) {\n\n\t\t\t\tconst maxInstanceCount = geometry._maxInstanceCount !== undefined ? geometry._maxInstanceCount : Infinity;\n\t\t\t\tconst instanceCount = Math.min( geometry.instanceCount, maxInstanceCount );\n\n\t\t\t\trenderer.renderInstances( drawStart, drawCount, instanceCount );\n\n\t\t\t} else {\n\n\t\t\t\trenderer.render( drawStart, drawCount );\n\n\t\t\t}\n\n\t\t};\n\n\t\t// Compile\n\n\t\tfunction prepareMaterial( material, scene, object ) {\n\n\t\t\tif ( material.transparent === true && material.side === DoubleSide && material.forceSinglePass === false ) {\n\n\t\t\t\tmaterial.side = BackSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t\tmaterial.side = FrontSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t\tmaterial.side = DoubleSide;\n\n\t\t\t} else {\n\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.compile = function ( scene, camera, targetScene = null ) {\n\n\t\t\tif ( targetScene === null ) targetScene = scene;\n\n\t\t\tcurrentRenderState = renderStates.get( targetScene );\n\t\t\tcurrentRenderState.init();\n\n\t\t\trenderStateStack.push( currentRenderState );\n\n\t\t\t// gather lights from both the target scene and the new object that will be added to the scene.\n\n\t\t\ttargetScene.traverseVisible( function ( object ) {\n\n\t\t\t\tif ( object.isLight && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t\tif ( scene !== targetScene ) {\n\n\t\t\t\tscene.traverseVisible( function ( object ) {\n\n\t\t\t\t\tif ( object.isLight && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t\tcurrentRenderState.setupLights( _this._useLegacyLights );\n\n\t\t\t// Only initialize materials in the new scene, not the targetScene.\n\n\t\t\tconst materials = new Set();\n\n\t\t\tscene.traverse( function ( object ) {\n\n\t\t\t\tconst material = object.material;\n\n\t\t\t\tif ( material ) {\n\n\t\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\t\tfor ( let i = 0; i < material.length; i ++ ) {\n\n\t\t\t\t\t\t\tconst material2 = material[ i ];\n\n\t\t\t\t\t\t\tprepareMaterial( material2, targetScene, object );\n\t\t\t\t\t\t\tmaterials.add( material2 );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tprepareMaterial( material, targetScene, object );\n\t\t\t\t\t\tmaterials.add( material );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t\trenderStateStack.pop();\n\t\t\tcurrentRenderState = null;\n\n\t\t\treturn materials;\n\n\t\t};\n\n\t\t// compileAsync\n\n\t\tthis.compileAsync = function ( scene, camera, targetScene = null ) {\n\n\t\t\tconst materials = this.compile( scene, camera, targetScene );\n\n\t\t\t// Wait for all the materials in the new object to indicate that they're\n\t\t\t// ready to be used before resolving the promise.\n\n\t\t\treturn new Promise( ( resolve ) => {\n\n\t\t\t\tfunction checkMaterialsReady() {\n\n\t\t\t\t\tmaterials.forEach( function ( material ) {\n\n\t\t\t\t\t\tconst materialProperties = properties.get( material );\n\t\t\t\t\t\tconst program = materialProperties.currentProgram;\n\n\t\t\t\t\t\tif ( program.isReady() ) {\n\n\t\t\t\t\t\t\t// remove any programs that report they're ready to use from the list\n\t\t\t\t\t\t\tmaterials.delete( material );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} );\n\n\t\t\t\t\t// once the list of compiling materials is empty, call the callback\n\n\t\t\t\t\tif ( materials.size === 0 ) {\n\n\t\t\t\t\t\tresolve( scene );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// if some materials are still not ready, wait a bit and check again\n\n\t\t\t\t\tsetTimeout( checkMaterialsReady, 10 );\n\n\t\t\t\t}\n\n\t\t\t\tif ( extensions.get( 'KHR_parallel_shader_compile' ) !== null ) {\n\n\t\t\t\t\t// If we can check the compilation status of the materials without\n\t\t\t\t\t// blocking then do so right away.\n\n\t\t\t\t\tcheckMaterialsReady();\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// Otherwise start by waiting a bit to give the materials we just\n\t\t\t\t\t// initialized a chance to finish.\n\n\t\t\t\t\tsetTimeout( checkMaterialsReady, 10 );\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t};\n\n\t\t// Animation Loop\n\n\t\tlet onAnimationFrameCallback = null;\n\n\t\tfunction onAnimationFrame( time ) {\n\n\t\t\tif ( onAnimationFrameCallback ) onAnimationFrameCallback( time );\n\n\t\t}\n\n\t\tfunction onXRSessionStart() {\n\n\t\t\tanimation.stop();\n\n\t\t}\n\n\t\tfunction onXRSessionEnd() {\n\n\t\t\tanimation.start();\n\n\t\t}\n\n\t\tconst animation = new WebGLAnimation();\n\t\tanimation.setAnimationLoop( onAnimationFrame );\n\n\t\tif ( typeof self !== 'undefined' ) animation.setContext( self );\n\n\t\tthis.setAnimationLoop = function ( callback ) {\n\n\t\t\tonAnimationFrameCallback = callback;\n\t\t\txr.setAnimationLoop( callback );\n\n\t\t\t( callback === null ) ? animation.stop() : animation.start();\n\n\t\t};\n\n\t\txr.addEventListener( 'sessionstart', onXRSessionStart );\n\t\txr.addEventListener( 'sessionend', onXRSessionEnd );\n\n\t\t// Rendering\n\n\t\tthis.render = function ( scene, camera ) {\n\n\t\t\tif ( camera !== undefined && camera.isCamera !== true ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tif ( _isContextLost === true ) return;\n\n\t\t\t// update scene graph\n\n\t\t\tif ( scene.matrixWorldAutoUpdate === true ) scene.updateMatrixWorld();\n\n\t\t\t// update camera matrices and frustum\n\n\t\t\tif ( camera.parent === null && camera.matrixWorldAutoUpdate === true ) camera.updateMatrixWorld();\n\n\t\t\tif ( xr.enabled === true && xr.isPresenting === true ) {\n\n\t\t\t\tif ( xr.cameraAutoUpdate === true ) xr.updateCamera( camera );\n\n\t\t\t\tcamera = xr.getCamera(); // use XR camera for rendering\n\n\t\t\t}\n\n\t\t\t//\n\t\t\tif ( scene.isScene === true ) scene.onBeforeRender( _this, scene, camera, _currentRenderTarget );\n\n\t\t\tcurrentRenderState = renderStates.get( scene, renderStateStack.length );\n\t\t\tcurrentRenderState.init();\n\n\t\t\trenderStateStack.push( currentRenderState );\n\n\t\t\t_projScreenMatrix.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse );\n\t\t\t_frustum.setFromProjectionMatrix( _projScreenMatrix );\n\n\t\t\t_localClippingEnabled = this.localClippingEnabled;\n\t\t\t_clippingEnabled = clipping.init( this.clippingPlanes, _localClippingEnabled );\n\n\t\t\tcurrentRenderList = renderLists.get( scene, renderListStack.length );\n\t\t\tcurrentRenderList.init();\n\n\t\t\trenderListStack.push( currentRenderList );\n\n\t\t\tprojectObject( scene, camera, 0, _this.sortObjects );\n\n\t\t\tcurrentRenderList.finish();\n\n\t\t\tif ( _this.sortObjects === true ) {\n\n\t\t\t\tcurrentRenderList.sort( _opaqueSort, _transparentSort );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tthis.info.render.frame ++;\n\n\t\t\tif ( _clippingEnabled === true ) clipping.beginShadows();\n\n\t\t\tconst shadowsArray = currentRenderState.state.shadowsArray;\n\n\t\t\tshadowMap.render( shadowsArray, scene, camera );\n\n\t\t\tif ( _clippingEnabled === true ) clipping.endShadows();\n\n\t\t\t//\n\n\t\t\tif ( this.info.autoReset === true ) this.info.reset();\n\n\n\t\t\t//\n\n\t\t\tbackground.render( currentRenderList, scene );\n\n\t\t\t// render scene\n\n\t\t\tcurrentRenderState.setupLights( _this._useLegacyLights );\n\n\t\t\tif ( camera.isArrayCamera ) {\n\n\t\t\t\tconst cameras = camera.cameras;\n\n\t\t\t\tfor ( let i = 0, l = cameras.length; i < l; i ++ ) {\n\n\t\t\t\t\tconst camera2 = cameras[ i ];\n\n\t\t\t\t\trenderScene( currentRenderList, scene, camera2, camera2.viewport );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\trenderScene( currentRenderList, scene, camera );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( _currentRenderTarget !== null ) {\n\n\t\t\t\t// resolve multisample renderbuffers to a single-sample texture if necessary\n\n\t\t\t\ttextures.updateMultisampleRenderTarget( _currentRenderTarget );\n\n\t\t\t\t// Generate mipmap if we're using any kind of mipmap filtering\n\n\t\t\t\ttextures.updateRenderTargetMipmap( _currentRenderTarget );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( scene.isScene === true ) scene.onAfterRender( _this, scene, camera );\n\n\t\t\t// _gl.finish();\n\n\t\t\tbindingStates.resetDefaultState();\n\t\t\t_currentMaterialId = - 1;\n\t\t\t_currentCamera = null;\n\n\t\t\trenderStateStack.pop();\n\n\t\t\tif ( renderStateStack.length > 0 ) {\n\n\t\t\t\tcurrentRenderState = renderStateStack[ renderStateStack.length - 1 ];\n\n\t\t\t} else {\n\n\t\t\t\tcurrentRenderState = null;\n\n\t\t\t}\n\n\t\t\trenderListStack.pop();\n\n\t\t\tif ( renderListStack.length > 0 ) {\n\n\t\t\t\tcurrentRenderList = renderListStack[ renderListStack.length - 1 ];\n\n\t\t\t} else {\n\n\t\t\t\tcurrentRenderList = null;\n\n\t\t\t}\n\n\t\t};\n\n\t\tfunction projectObject( object, camera, groupOrder, sortObjects ) {\n\n\t\t\tif ( object.visible === false ) return;\n\n\t\t\tconst visible = object.layers.test( camera.layers );\n\n\t\t\tif ( visible ) {\n\n\t\t\t\tif ( object.isGroup ) {\n\n\t\t\t\t\tgroupOrder = object.renderOrder;\n\n\t\t\t\t} else if ( object.isLOD ) {\n\n\t\t\t\t\tif ( object.autoUpdate === true ) object.update( camera );\n\n\t\t\t\t} else if ( object.isLight ) {\n\n\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( object.isSprite ) {\n\n\t\t\t\t\tif ( ! object.frustumCulled || _frustum.intersectsSprite( object ) ) {\n\n\t\t\t\t\t\tif ( sortObjects ) {\n\n\t\t\t\t\t\t\t_vector3.setFromMatrixPosition( object.matrixWorld )\n\t\t\t\t\t\t\t\t.applyMatrix4( _projScreenMatrix );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tconst geometry = objects.update( object );\n\t\t\t\t\t\tconst material = object.material;\n\n\t\t\t\t\t\tif ( material.visible ) {\n\n\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, material, groupOrder, _vector3.z, null );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( object.isMesh || object.isLine || object.isPoints ) {\n\n\t\t\t\t\tif ( ! object.frustumCulled || _frustum.intersectsObject( object ) ) {\n\n\t\t\t\t\t\tconst geometry = objects.update( object );\n\t\t\t\t\t\tconst material = object.material;\n\n\t\t\t\t\t\tif ( sortObjects ) {\n\n\t\t\t\t\t\t\tif ( object.boundingSphere !== undefined ) {\n\n\t\t\t\t\t\t\t\tif ( object.boundingSphere === null ) object.computeBoundingSphere();\n\t\t\t\t\t\t\t\t_vector3.copy( object.boundingSphere.center );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\t\t\t\t\t\t\t\t_vector3.copy( geometry.boundingSphere.center );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t_vector3\n\t\t\t\t\t\t\t\t.applyMatrix4( object.matrixWorld )\n\t\t\t\t\t\t\t\t.applyMatrix4( _projScreenMatrix );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\t\t\tconst groups = geometry.groups;\n\n\t\t\t\t\t\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\t\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\t\t\t\tif ( groupMaterial && groupMaterial.visible ) {\n\n\t\t\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, groupMaterial, groupOrder, _vector3.z, group );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else if ( material.visible ) {\n\n\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, material, groupOrder, _vector3.z, null );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst children = object.children;\n\n\t\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\t\tprojectObject( children[ i ], camera, groupOrder, sortObjects );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction renderScene( currentRenderList, scene, camera, viewport ) {\n\n\t\t\tconst opaqueObjects = currentRenderList.opaque;\n\t\t\tconst transmissiveObjects = currentRenderList.transmissive;\n\t\t\tconst transparentObjects = currentRenderList.transparent;\n\n\t\t\tcurrentRenderState.setupLightsView( camera );\n\n\t\t\tif ( _clippingEnabled === true ) clipping.setGlobalState( _this.clippingPlanes, camera );\n\n\t\t\tif ( transmissiveObjects.length > 0 ) renderTransmissionPass( opaqueObjects, transmissiveObjects, scene, camera );\n\n\t\t\tif ( viewport ) state.viewport( _currentViewport.copy( viewport ) );\n\n\t\t\tif ( opaqueObjects.length > 0 ) renderObjects( opaqueObjects, scene, camera );\n\t\t\tif ( transmissiveObjects.length > 0 ) renderObjects( transmissiveObjects, scene, camera );\n\t\t\tif ( transparentObjects.length > 0 ) renderObjects( transparentObjects, scene, camera );\n\n\t\t\t// Ensure depth buffer writing is enabled so it can be cleared on next render\n\n\t\t\tstate.buffers.depth.setTest( true );\n\t\t\tstate.buffers.depth.setMask( true );\n\t\t\tstate.buffers.color.setMask( true );\n\n\t\t\tstate.setPolygonOffset( false );\n\n\t\t}\n\n\t\tfunction renderTransmissionPass( opaqueObjects, transmissiveObjects, scene, camera ) {\n\n\t\t\tconst overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\n\n\t\t\tif ( overrideMaterial !== null ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst isWebGL2 = capabilities.isWebGL2;\n\n\t\t\tif ( _transmissionRenderTarget === null ) {\n\n\t\t\t\t_transmissionRenderTarget = new WebGLRenderTarget( 1, 1, {\n\t\t\t\t\tgenerateMipmaps: true,\n\t\t\t\t\ttype: extensions.has( 'EXT_color_buffer_half_float' ) ? HalfFloatType : UnsignedByteType,\n\t\t\t\t\tminFilter: LinearMipmapLinearFilter,\n\t\t\t\t\tsamples: ( isWebGL2 ) ? 4 : 0\n\t\t\t\t} );\n\n\t\t\t\t// debug\n\n\t\t\t\t/*\n\t\t\t\tconst geometry = new PlaneGeometry();\n\t\t\t\tconst material = new MeshBasicMaterial( { map: _transmissionRenderTarget.texture } );\n\n\t\t\t\tconst mesh = new Mesh( geometry, material );\n\t\t\t\tscene.add( mesh );\n\t\t\t\t*/\n\n\t\t\t}\n\n\t\t\t_this.getDrawingBufferSize( _vector2 );\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t_transmissionRenderTarget.setSize( _vector2.x, _vector2.y );\n\n\t\t\t} else {\n\n\t\t\t\t_transmissionRenderTarget.setSize( floorPowerOfTwo( _vector2.x ), floorPowerOfTwo( _vector2.y ) );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tconst currentRenderTarget = _this.getRenderTarget();\n\t\t\t_this.setRenderTarget( _transmissionRenderTarget );\n\n\t\t\t_this.getClearColor( _currentClearColor );\n\t\t\t_currentClearAlpha = _this.getClearAlpha();\n\t\t\tif ( _currentClearAlpha < 1 ) _this.setClearColor( 0xffffff, 0.5 );\n\n\t\t\t_this.clear();\n\n\t\t\t// Turn off the features which can affect the frag color for opaque objects pass.\n\t\t\t// Otherwise they are applied twice in opaque objects pass and transmission objects pass.\n\t\t\tconst currentToneMapping = _this.toneMapping;\n\t\t\t_this.toneMapping = NoToneMapping;\n\n\t\t\trenderObjects( opaqueObjects, scene, camera );\n\n\t\t\ttextures.updateMultisampleRenderTarget( _transmissionRenderTarget );\n\t\t\ttextures.updateRenderTargetMipmap( _transmissionRenderTarget );\n\n\t\t\tlet renderTargetNeedsUpdate = false;\n\n\t\t\tfor ( let i = 0, l = transmissiveObjects.length; i < l; i ++ ) {\n\n\t\t\t\tconst renderItem = transmissiveObjects[ i ];\n\n\t\t\t\tconst object = renderItem.object;\n\t\t\t\tconst geometry = renderItem.geometry;\n\t\t\t\tconst material = renderItem.material;\n\t\t\t\tconst group = renderItem.group;\n\n\t\t\t\tif ( material.side === DoubleSide && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\tconst currentSide = material.side;\n\n\t\t\t\t\tmaterial.side = BackSide;\n\t\t\t\t\tmaterial.needsUpdate = true;\n\n\t\t\t\t\trenderObject( object, scene, camera, geometry, material, group );\n\n\t\t\t\t\tmaterial.side = currentSide;\n\t\t\t\t\tmaterial.needsUpdate = true;\n\n\t\t\t\t\trenderTargetNeedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( renderTargetNeedsUpdate === true ) {\n\n\t\t\t\ttextures.updateMultisampleRenderTarget( _transmissionRenderTarget );\n\t\t\t\ttextures.updateRenderTargetMipmap( _transmissionRenderTarget );\n\n\t\t\t}\n\n\t\t\t_this.setRenderTarget( currentRenderTarget );\n\n\t\t\t_this.setClearColor( _currentClearColor, _currentClearAlpha );\n\n\t\t\t_this.toneMapping = currentToneMapping;\n\n\t\t}\n\n\t\tfunction renderObjects( renderList, scene, camera ) {\n\n\t\t\tconst overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\n\n\t\t\tfor ( let i = 0, l = renderList.length; i < l; i ++ ) {\n\n\t\t\t\tconst renderItem = renderList[ i ];\n\n\t\t\t\tconst object = renderItem.object;\n\t\t\t\tconst geometry = renderItem.geometry;\n\t\t\t\tconst material = overrideMaterial === null ? renderItem.material : overrideMaterial;\n\t\t\t\tconst group = renderItem.group;\n\n\t\t\t\tif ( object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\trenderObject( object, scene, camera, geometry, material, group );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction renderObject( object, scene, camera, geometry, material, group ) {\n\n\t\t\tobject.onBeforeRender( _this, scene, camera, geometry, material, group );\n\n\t\t\tobject.modelViewMatrix.multiplyMatrices( camera.matrixWorldInverse, object.matrixWorld );\n\t\t\tobject.normalMatrix.getNormalMatrix( object.modelViewMatrix );\n\n\t\t\tmaterial.onBeforeRender( _this, scene, camera, geometry, object, group );\n\n\t\t\tif ( material.transparent === true && material.side === DoubleSide && material.forceSinglePass === false ) {\n\n\t\t\t\tmaterial.side = BackSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t\tmaterial.side = FrontSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t\tmaterial.side = DoubleSide;\n\n\t\t\t} else {\n\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t}\n\n\t\t\tobject.onAfterRender( _this, scene, camera, geometry, material, group );\n\n\t\t}\n\n\t\tfunction getProgram( material, scene, object ) {\n\n\t\t\tif ( scene.isScene !== true ) scene = _emptyScene; // scene could be a Mesh, Line, Points, ...\n\n\t\t\tconst materialProperties = properties.get( material );\n\n\t\t\tconst lights = currentRenderState.state.lights;\n\t\t\tconst shadowsArray = currentRenderState.state.shadowsArray;\n\n\t\t\tconst lightsStateVersion = lights.state.version;\n\n\t\t\tconst parameters = programCache.getParameters( material, lights.state, shadowsArray, scene, object );\n\t\t\tconst programCacheKey = programCache.getProgramCacheKey( parameters );\n\n\t\t\tlet programs = materialProperties.programs;\n\n\t\t\t// always update environment and fog - changing these trigger an getProgram call, but it's possible that the program doesn't change\n\n\t\t\tmaterialProperties.environment = material.isMeshStandardMaterial ? scene.environment : null;\n\t\t\tmaterialProperties.fog = scene.fog;\n\t\t\tmaterialProperties.envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || materialProperties.environment );\n\n\t\t\tif ( programs === undefined ) {\n\n\t\t\t\t// new material\n\n\t\t\t\tmaterial.addEventListener( 'dispose', onMaterialDispose );\n\n\t\t\t\tprograms = new Map();\n\t\t\t\tmaterialProperties.programs = programs;\n\n\t\t\t}\n\n\t\t\tlet program = programs.get( programCacheKey );\n\n\t\t\tif ( program !== undefined ) {\n\n\t\t\t\t// early out if program and light state is identical\n\n\t\t\t\tif ( materialProperties.currentProgram === program && materialProperties.lightsStateVersion === lightsStateVersion ) {\n\n\t\t\t\t\tupdateCommonMaterialProperties( material, parameters );\n\n\t\t\t\t\treturn program;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tparameters.uniforms = programCache.getUniforms( material );\n\n\t\t\t\tmaterial.onBuild( object, parameters, _this );\n\n\t\t\t\tmaterial.onBeforeCompile( parameters, _this );\n\n\t\t\t\tprogram = programCache.acquireProgram( parameters, programCacheKey );\n\t\t\t\tprograms.set( programCacheKey, program );\n\n\t\t\t\tmaterialProperties.uniforms = parameters.uniforms;\n\n\t\t\t}\n\n\t\t\tconst uniforms = materialProperties.uniforms;\n\n\t\t\tif ( ( ! material.isShaderMaterial && ! material.isRawShaderMaterial ) || material.clipping === true ) {\n\n\t\t\t\tuniforms.clippingPlanes = clipping.uniform;\n\n\t\t\t}\n\n\t\t\tupdateCommonMaterialProperties( material, parameters );\n\n\t\t\t// store the light setup it was created for\n\n\t\t\tmaterialProperties.needsLights = materialNeedsLights( material );\n\t\t\tmaterialProperties.lightsStateVersion = lightsStateVersion;\n\n\t\t\tif ( materialProperties.needsLights ) {\n\n\t\t\t\t// wire up the material to this renderer's lighting state\n\n\t\t\t\tuniforms.ambientLightColor.value = lights.state.ambient;\n\t\t\t\tuniforms.lightProbe.value = lights.state.probe;\n\t\t\t\tuniforms.directionalLights.value = lights.state.directional;\n\t\t\t\tuniforms.directionalLightShadows.value = lights.state.directionalShadow;\n\t\t\t\tuniforms.spotLights.value = lights.state.spot;\n\t\t\t\tuniforms.spotLightShadows.value = lights.state.spotShadow;\n\t\t\t\tuniforms.rectAreaLights.value = lights.state.rectArea;\n\t\t\t\tuniforms.ltc_1.value = lights.state.rectAreaLTC1;\n\t\t\t\tuniforms.ltc_2.value = lights.state.rectAreaLTC2;\n\t\t\t\tuniforms.pointLights.value = lights.state.point;\n\t\t\t\tuniforms.pointLightShadows.value = lights.state.pointShadow;\n\t\t\t\tuniforms.hemisphereLights.value = lights.state.hemi;\n\n\t\t\t\tuniforms.directionalShadowMap.value = lights.state.directionalShadowMap;\n\t\t\t\tuniforms.directionalShadowMatrix.value = lights.state.directionalShadowMatrix;\n\t\t\t\tuniforms.spotShadowMap.value = lights.state.spotShadowMap;\n\t\t\t\tuniforms.spotLightMatrix.value = lights.state.spotLightMatrix;\n\t\t\t\tuniforms.spotLightMap.value = lights.state.spotLightMap;\n\t\t\t\tuniforms.pointShadowMap.value = lights.state.pointShadowMap;\n\t\t\t\tuniforms.pointShadowMatrix.value = lights.state.pointShadowMatrix;\n\t\t\t\t// TODO (abelnation): add area lights shadow info to uniforms\n\n\t\t\t}\n\n\t\t\tmaterialProperties.currentProgram = program;\n\t\t\tmaterialProperties.uniformsList = null;\n\n\t\t\treturn program;\n\n\t\t}\n\n\t\tfunction getUniformList( materialProperties ) {\n\n\t\t\tif ( materialProperties.uniformsList === null ) {\n\n\t\t\t\tconst progUniforms = materialProperties.currentProgram.getUniforms();\n\t\t\t\tmaterialProperties.uniformsList = WebGLUniforms.seqWithValue( progUniforms.seq, materialProperties.uniforms );\n\n\t\t\t}\n\n\t\t\treturn materialProperties.uniformsList;\n\n\t\t}\n\n\t\tfunction updateCommonMaterialProperties( material, parameters ) {\n\n\t\t\tconst materialProperties = properties.get( material );\n\n\t\t\tmaterialProperties.outputColorSpace = parameters.outputColorSpace;\n\t\t\tmaterialProperties.batching = parameters.batching;\n\t\t\tmaterialProperties.instancing = parameters.instancing;\n\t\t\tmaterialProperties.instancingColor = parameters.instancingColor;\n\t\t\tmaterialProperties.skinning = parameters.skinning;\n\t\t\tmaterialProperties.morphTargets = parameters.morphTargets;\n\t\t\tmaterialProperties.morphNormals = parameters.morphNormals;\n\t\t\tmaterialProperties.morphColors = parameters.morphColors;\n\t\t\tmaterialProperties.morphTargetsCount = parameters.morphTargetsCount;\n\t\t\tmaterialProperties.numClippingPlanes = parameters.numClippingPlanes;\n\t\t\tmaterialProperties.numIntersection = parameters.numClipIntersection;\n\t\t\tmaterialProperties.vertexAlphas = parameters.vertexAlphas;\n\t\t\tmaterialProperties.vertexTangents = parameters.vertexTangents;\n\t\t\tmaterialProperties.toneMapping = parameters.toneMapping;\n\n\t\t}\n\n\t\tfunction setProgram( camera, scene, geometry, material, object ) {\n\n\t\t\tif ( scene.isScene !== true ) scene = _emptyScene; // scene could be a Mesh, Line, Points, ...\n\n\t\t\ttextures.resetTextureUnits();\n\n\t\t\tconst fog = scene.fog;\n\t\t\tconst environment = material.isMeshStandardMaterial ? scene.environment : null;\n\t\t\tconst colorSpace = ( _currentRenderTarget === null ) ? _this.outputColorSpace : ( _currentRenderTarget.isXRRenderTarget === true ? _currentRenderTarget.texture.colorSpace : LinearSRGBColorSpace );\n\t\t\tconst envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || environment );\n\t\t\tconst vertexAlphas = material.vertexColors === true && !! geometry.attributes.color && geometry.attributes.color.itemSize === 4;\n\t\t\tconst vertexTangents = !! geometry.attributes.tangent && ( !! material.normalMap || material.anisotropy > 0 );\n\t\t\tconst morphTargets = !! geometry.morphAttributes.position;\n\t\t\tconst morphNormals = !! geometry.morphAttributes.normal;\n\t\t\tconst morphColors = !! geometry.morphAttributes.color;\n\n\t\t\tlet toneMapping = NoToneMapping;\n\n\t\t\tif ( material.toneMapped ) {\n\n\t\t\t\tif ( _currentRenderTarget === null || _currentRenderTarget.isXRRenderTarget === true ) {\n\n\t\t\t\t\ttoneMapping = _this.toneMapping;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\t\tconst materialProperties = properties.get( material );\n\t\t\tconst lights = currentRenderState.state.lights;\n\n\t\t\tif ( _clippingEnabled === true ) {\n\n\t\t\t\tif ( _localClippingEnabled === true || camera !== _currentCamera ) {\n\n\t\t\t\t\tconst useCache =\n\t\t\t\t\t\tcamera === _currentCamera &&\n\t\t\t\t\t\tmaterial.id === _currentMaterialId;\n\n\t\t\t\t\t// we might want to call this function with some ClippingGroup\n\t\t\t\t\t// object instead of the material, once it becomes feasible\n\t\t\t\t\t// (#8465, #8379)\n\t\t\t\t\tclipping.setState( material, camera, useCache );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet needsProgramChange = false;\n\n\t\t\tif ( material.version === materialProperties.__version ) {\n\n\t\t\t\tif ( materialProperties.needsLights && ( materialProperties.lightsStateVersion !== lights.state.version ) ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.outputColorSpace !== colorSpace ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isBatchedMesh && materialProperties.batching === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isBatchedMesh && materialProperties.batching === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancing === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isInstancedMesh && materialProperties.instancing === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isSkinnedMesh && materialProperties.skinning === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isSkinnedMesh && materialProperties.skinning === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancingColor === true && object.instanceColor === null ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancingColor === false && object.instanceColor !== null ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.envMap !== envMap ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( material.fog === true && materialProperties.fog !== fog ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.numClippingPlanes !== undefined &&\n\t\t\t\t\t( materialProperties.numClippingPlanes !== clipping.numPlanes ||\n\t\t\t\t\tmaterialProperties.numIntersection !== clipping.numIntersection ) ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.vertexAlphas !== vertexAlphas ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.vertexTangents !== vertexTangents ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphTargets !== morphTargets ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphNormals !== morphNormals ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphColors !== morphColors ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.toneMapping !== toneMapping ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( capabilities.isWebGL2 === true && materialProperties.morphTargetsCount !== morphTargetsCount ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tneedsProgramChange = true;\n\t\t\t\tmaterialProperties.__version = material.version;\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet program = materialProperties.currentProgram;\n\n\t\t\tif ( needsProgramChange === true ) {\n\n\t\t\t\tprogram = getProgram( material, scene, object );\n\n\t\t\t}\n\n\t\t\tlet refreshProgram = false;\n\t\t\tlet refreshMaterial = false;\n\t\t\tlet refreshLights = false;\n\n\t\t\tconst p_uniforms = program.getUniforms(),\n\t\t\t\tm_uniforms = materialProperties.uniforms;\n\n\t\t\tif ( state.useProgram( program.program ) ) {\n\n\t\t\t\trefreshProgram = true;\n\t\t\t\trefreshMaterial = true;\n\t\t\t\trefreshLights = true;\n\n\t\t\t}\n\n\t\t\tif ( material.id !== _currentMaterialId ) {\n\n\t\t\t\t_currentMaterialId = material.id;\n\n\t\t\t\trefreshMaterial = true;\n\n\t\t\t}\n\n\t\t\tif ( refreshProgram || _currentCamera !== camera ) {\n\n\t\t\t\t// common camera uniforms\n\n\t\t\t\tp_uniforms.setValue( _gl, 'projectionMatrix', camera.projectionMatrix );\n\t\t\t\tp_uniforms.setValue( _gl, 'viewMatrix', camera.matrixWorldInverse );\n\n\t\t\t\tconst uCamPos = p_uniforms.map.cameraPosition;\n\n\t\t\t\tif ( uCamPos !== undefined ) {\n\n\t\t\t\t\tuCamPos.setValue( _gl, _vector3.setFromMatrixPosition( camera.matrixWorld ) );\n\n\t\t\t\t}\n\n\t\t\t\tif ( capabilities.logarithmicDepthBuffer ) {\n\n\t\t\t\t\tp_uniforms.setValue( _gl, 'logDepthBufFC',\n\t\t\t\t\t\t2.0 / ( Math.log( camera.far + 1.0 ) / Math.LN2 ) );\n\n\t\t\t\t}\n\n\t\t\t\t// consider moving isOrthographic to UniformLib and WebGLMaterials, see https://github.com/mrdoob/three.js/pull/26467#issuecomment-1645185067\n\n\t\t\t\tif ( material.isMeshPhongMaterial ||\n\t\t\t\t\tmaterial.isMeshToonMaterial ||\n\t\t\t\t\tmaterial.isMeshLambertMaterial ||\n\t\t\t\t\tmaterial.isMeshBasicMaterial ||\n\t\t\t\t\tmaterial.isMeshStandardMaterial ||\n\t\t\t\t\tmaterial.isShaderMaterial ) {\n\n\t\t\t\t\tp_uniforms.setValue( _gl, 'isOrthographic', camera.isOrthographicCamera === true );\n\n\t\t\t\t}\n\n\t\t\t\tif ( _currentCamera !== camera ) {\n\n\t\t\t\t\t_currentCamera = camera;\n\n\t\t\t\t\t// lighting uniforms depend on the camera so enforce an update\n\t\t\t\t\t// now, in case this material supports lights - or later, when\n\t\t\t\t\t// the next material that does gets activated:\n\n\t\t\t\t\trefreshMaterial = true;\t\t// set to true on material change\n\t\t\t\t\trefreshLights = true;\t\t// remains set until update done\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// skinning and morph target uniforms must be set even if material didn't change\n\t\t\t// auto-setting of texture unit for bone and morph texture must go before other textures\n\t\t\t// otherwise textures used for skinning and morphing can take over texture units reserved for other material textures\n\n\t\t\tif ( object.isSkinnedMesh ) {\n\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'bindMatrix' );\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'bindMatrixInverse' );\n\n\t\t\t\tconst skeleton = object.skeleton;\n\n\t\t\t\tif ( skeleton ) {\n\n\t\t\t\t\tif ( capabilities.floatVertexTextures ) {\n\n\t\t\t\t\t\tif ( skeleton.boneTexture === null ) skeleton.computeBoneTexture();\n\n\t\t\t\t\t\tp_uniforms.setValue( _gl, 'boneTexture', skeleton.boneTexture, textures );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( object.isBatchedMesh ) {\n\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'batchingTexture' );\n\t\t\t\tp_uniforms.setValue( _gl, 'batchingTexture', object._matricesTexture, textures );\n\n\t\t\t}\n\n\t\t\tconst morphAttributes = geometry.morphAttributes;\n\n\t\t\tif ( morphAttributes.position !== undefined || morphAttributes.normal !== undefined || ( morphAttributes.color !== undefined && capabilities.isWebGL2 === true ) ) {\n\n\t\t\t\tmorphtargets.update( object, geometry, program );\n\n\t\t\t}\n\n\t\t\tif ( refreshMaterial || materialProperties.receiveShadow !== object.receiveShadow ) {\n\n\t\t\t\tmaterialProperties.receiveShadow = object.receiveShadow;\n\t\t\t\tp_uniforms.setValue( _gl, 'receiveShadow', object.receiveShadow );\n\n\t\t\t}\n\n\t\t\t// https://github.com/mrdoob/three.js/pull/24467#issuecomment-1209031512\n\n\t\t\tif ( material.isMeshGouraudMaterial && material.envMap !== null ) {\n\n\t\t\t\tm_uniforms.envMap.value = envMap;\n\n\t\t\t\tm_uniforms.flipEnvMap.value = ( envMap.isCubeTexture && envMap.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t\t}\n\n\t\t\tif ( refreshMaterial ) {\n\n\t\t\t\tp_uniforms.setValue( _gl, 'toneMappingExposure', _this.toneMappingExposure );\n\n\t\t\t\tif ( materialProperties.needsLights ) {\n\n\t\t\t\t\t// the current material requires lighting info\n\n\t\t\t\t\t// note: all lighting uniforms are always set correctly\n\t\t\t\t\t// they simply reference the renderer's state for their\n\t\t\t\t\t// values\n\t\t\t\t\t//\n\t\t\t\t\t// use the current material's .needsUpdate flags to set\n\t\t\t\t\t// the GL state when required\n\n\t\t\t\t\tmarkUniformsLightsNeedsUpdate( m_uniforms, refreshLights );\n\n\t\t\t\t}\n\n\t\t\t\t// refresh uniforms common to several materials\n\n\t\t\t\tif ( fog && material.fog === true ) {\n\n\t\t\t\t\tmaterials.refreshFogUniforms( m_uniforms, fog );\n\n\t\t\t\t}\n\n\t\t\t\tmaterials.refreshMaterialUniforms( m_uniforms, material, _pixelRatio, _height, _transmissionRenderTarget );\n\n\t\t\t\tWebGLUniforms.upload( _gl, getUniformList( materialProperties ), m_uniforms, textures );\n\n\t\t\t}\n\n\t\t\tif ( material.isShaderMaterial && material.uniformsNeedUpdate === true ) {\n\n\t\t\t\tWebGLUniforms.upload( _gl, getUniformList( materialProperties ), m_uniforms, textures );\n\t\t\t\tmaterial.uniformsNeedUpdate = false;\n\n\t\t\t}\n\n\t\t\tif ( material.isSpriteMaterial ) {\n\n\t\t\t\tp_uniforms.setValue( _gl, 'center', object.center );\n\n\t\t\t}\n\n\t\t\t// common matrices\n\n\t\t\tp_uniforms.setValue( _gl, 'modelViewMatrix', object.modelViewMatrix );\n\t\t\tp_uniforms.setValue( _gl, 'normalMatrix', object.normalMatrix );\n\t\t\tp_uniforms.setValue( _gl, 'modelMatrix', object.matrixWorld );\n\n\t\t\t// UBOs\n\n\t\t\tif ( material.isShaderMaterial || material.isRawShaderMaterial ) {\n\n\t\t\t\tconst groups = material.uniformsGroups;\n\n\t\t\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\t\t\tconst group = groups[ i ];\n\n\t\t\t\t\t\tuniformsGroups.update( group, program );\n\t\t\t\t\t\tuniformsGroups.bind( group, program );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn program;\n\n\t\t}\n\n\t\t// If uniforms are marked as clean, they don't need to be loaded to the GPU.\n\n\t\tfunction markUniformsLightsNeedsUpdate( uniforms, value ) {\n\n\t\t\tuniforms.ambientLightColor.needsUpdate = value;\n\t\t\tuniforms.lightProbe.needsUpdate = value;\n\n\t\t\tuniforms.directionalLights.needsUpdate = value;\n\t\t\tuniforms.directionalLightShadows.needsUpdate = value;\n\t\t\tuniforms.pointLights.needsUpdate = value;\n\t\t\tuniforms.pointLightShadows.needsUpdate = value;\n\t\t\tuniforms.spotLights.needsUpdate = value;\n\t\t\tuniforms.spotLightShadows.needsUpdate = value;\n\t\t\tuniforms.rectAreaLights.needsUpdate = value;\n\t\t\tuniforms.hemisphereLights.needsUpdate = value;\n\n\t\t}\n\n\t\tfunction materialNeedsLights( material ) {\n\n\t\t\treturn material.isMeshLambertMaterial || material.isMeshToonMaterial || material.isMeshPhongMaterial ||\n\t\t\t\tmaterial.isMeshStandardMaterial || material.isShadowMaterial ||\n\t\t\t\t( material.isShaderMaterial && material.lights === true );\n\n\t\t}\n\n\t\tthis.getActiveCubeFace = function () {\n\n\t\t\treturn _currentActiveCubeFace;\n\n\t\t};\n\n\t\tthis.getActiveMipmapLevel = function () {\n\n\t\t\treturn _currentActiveMipmapLevel;\n\n\t\t};\n\n\t\tthis.getRenderTarget = function () {\n\n\t\t\treturn _currentRenderTarget;\n\n\t\t};\n\n\t\tthis.setRenderTargetTextures = function ( renderTarget, colorTexture, depthTexture ) {\n\n\t\t\tproperties.get( renderTarget.texture ).__webglTexture = colorTexture;\n\t\t\tproperties.get( renderTarget.depthTexture ).__webglTexture = depthTexture;\n\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\trenderTargetProperties.__hasExternalTextures = true;\n\n\t\t\tif ( renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\t\trenderTargetProperties.__autoAllocateDepthBuffer = depthTexture === undefined;\n\n\t\t\t\tif ( ! renderTargetProperties.__autoAllocateDepthBuffer ) {\n\n\t\t\t\t\t// The multisample_render_to_texture extension doesn't work properly if there\n\t\t\t\t\t// are midframe flushes and an external depth buffer. Disable use of the extension.\n\t\t\t\t\tif ( extensions.has( 'WEBGL_multisampled_render_to_texture' ) === true ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided' );\n\t\t\t\t\t\trenderTargetProperties.__useRenderToTexture = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.setRenderTargetFramebuffer = function ( renderTarget, defaultFramebuffer ) {\n\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\trenderTargetProperties.__webglFramebuffer = defaultFramebuffer;\n\t\t\trenderTargetProperties.__useDefaultFramebuffer = defaultFramebuffer === undefined;\n\n\t\t};\n\n\t\tthis.setRenderTarget = function ( renderTarget, activeCubeFace = 0, activeMipmapLevel = 0 ) {\n\n\t\t\t_currentRenderTarget = renderTarget;\n\t\t\t_currentActiveCubeFace = activeCubeFace;\n\t\t\t_currentActiveMipmapLevel = activeMipmapLevel;\n\n\t\t\tlet useDefaultFramebuffer = true;\n\t\t\tlet framebuffer = null;\n\t\t\tlet isCube = false;\n\t\t\tlet isRenderTarget3D = false;\n\n\t\t\tif ( renderTarget ) {\n\n\t\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\t\t\tif ( renderTargetProperties.__useDefaultFramebuffer !== undefined ) {\n\n\t\t\t\t\t// We need to make sure to rebind the framebuffer.\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\t\t\t\t\tuseDefaultFramebuffer = false;\n\n\t\t\t\t} else if ( renderTargetProperties.__webglFramebuffer === undefined ) {\n\n\t\t\t\t\ttextures.setupRenderTarget( renderTarget );\n\n\t\t\t\t} else if ( renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\t\t\t// Color and depth texture must be rebound in order for the swapchain to update.\n\t\t\t\t\ttextures.rebindTextures( renderTarget, properties.get( renderTarget.texture ).__webglTexture, properties.get( renderTarget.depthTexture ).__webglTexture );\n\n\t\t\t\t}\n\n\t\t\t\tconst texture = renderTarget.texture;\n\n\t\t\t\tif ( texture.isData3DTexture || texture.isDataArrayTexture || texture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tisRenderTarget3D = true;\n\n\t\t\t\t}\n\n\t\t\t\tconst __webglFramebuffer = properties.get( renderTarget ).__webglFramebuffer;\n\n\t\t\t\tif ( renderTarget.isWebGLCubeRenderTarget ) {\n\n\t\t\t\t\tif ( Array.isArray( __webglFramebuffer[ activeCubeFace ] ) ) {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeCubeFace ][ activeMipmapLevel ];\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeCubeFace ];\n\n\t\t\t\t\t}\n\n\t\t\t\t\tisCube = true;\n\n\t\t\t\t} else if ( ( capabilities.isWebGL2 && renderTarget.samples > 0 ) && textures.useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t\tframebuffer = properties.get( renderTarget ).__webglMultisampledFramebuffer;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( Array.isArray( __webglFramebuffer ) ) {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeMipmapLevel ];\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t_currentViewport.copy( renderTarget.viewport );\n\t\t\t\t_currentScissor.copy( renderTarget.scissor );\n\t\t\t\t_currentScissorTest = renderTarget.scissorTest;\n\n\t\t\t} else {\n\n\t\t\t\t_currentViewport.copy( _viewport ).multiplyScalar( _pixelRatio ).floor();\n\t\t\t\t_currentScissor.copy( _scissor ).multiplyScalar( _pixelRatio ).floor();\n\t\t\t\t_currentScissorTest = _scissorTest;\n\n\t\t\t}\n\n\t\t\tconst framebufferBound = state.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\tif ( framebufferBound && capabilities.drawBuffers && useDefaultFramebuffer ) {\n\n\t\t\t\tstate.drawBuffers( renderTarget, framebuffer );\n\n\t\t\t}\n\n\t\t\tstate.viewport( _currentViewport );\n\t\t\tstate.scissor( _currentScissor );\n\t\t\tstate.setScissorTest( _currentScissorTest );\n\n\t\t\tif ( isCube ) {\n\n\t\t\t\tconst textureProperties = properties.get( renderTarget.texture );\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + activeCubeFace, textureProperties.__webglTexture, activeMipmapLevel );\n\n\t\t\t} else if ( isRenderTarget3D ) {\n\n\t\t\t\tconst textureProperties = properties.get( renderTarget.texture );\n\t\t\t\tconst layer = activeCubeFace || 0;\n\t\t\t\t_gl.framebufferTextureLayer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, textureProperties.__webglTexture, activeMipmapLevel || 0, layer );\n\n\t\t\t}\n\n\t\t\t_currentMaterialId = - 1; // reset current material to ensure correct uniform bindings\n\n\t\t};\n\n\t\tthis.readRenderTargetPixels = function ( renderTarget, x, y, width, height, buffer, activeCubeFaceIndex ) {\n\n\t\t\tif ( ! ( renderTarget && renderTarget.isWebGLRenderTarget ) ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tlet framebuffer = properties.get( renderTarget ).__webglFramebuffer;\n\n\t\t\tif ( renderTarget.isWebGLCubeRenderTarget && activeCubeFaceIndex !== undefined ) {\n\n\t\t\t\tframebuffer = framebuffer[ activeCubeFaceIndex ];\n\n\t\t\t}\n\n\t\t\tif ( framebuffer ) {\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\t\ttry {\n\n\t\t\t\t\tconst texture = renderTarget.texture;\n\t\t\t\t\tconst textureFormat = texture.format;\n\t\t\t\t\tconst textureType = texture.type;\n\n\t\t\t\t\tif ( textureFormat !== RGBAFormat && utils.convert( textureFormat ) !== _gl.getParameter( _gl.IMPLEMENTATION_COLOR_READ_FORMAT ) ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.' );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst halfFloatSupportedByExt = ( textureType === HalfFloatType ) && ( extensions.has( 'EXT_color_buffer_half_float' ) || ( capabilities.isWebGL2 && extensions.has( 'EXT_color_buffer_float' ) ) );\n\n\t\t\t\t\tif ( textureType !== UnsignedByteType && utils.convert( textureType ) !== _gl.getParameter( _gl.IMPLEMENTATION_COLOR_READ_TYPE ) && // Edge and Chrome Mac < 52 (#9513)\n\t\t\t\t\t\t! ( textureType === FloatType && ( capabilities.isWebGL2 || extensions.has( 'OES_texture_float' ) || extensions.has( 'WEBGL_color_buffer_float' ) ) ) && // Chrome Mac >= 52 and Firefox\n\t\t\t\t\t\t! halfFloatSupportedByExt ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.' );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the following if statement ensures valid read requests (no out-of-bounds pixels, see #8604)\n\n\t\t\t\t\tif ( ( x >= 0 && x <= ( renderTarget.width - width ) ) && ( y >= 0 && y <= ( renderTarget.height - height ) ) ) {\n\n\t\t\t\t\t\t_gl.readPixels( x, y, width, height, utils.convert( textureFormat ), utils.convert( textureType ), buffer );\n\n\t\t\t\t\t}\n\n\t\t\t\t} finally {\n\n\t\t\t\t\t// restore framebuffer of current render target if necessary\n\n\t\t\t\t\tconst framebuffer = ( _currentRenderTarget !== null ) ? properties.get( _currentRenderTarget ).__webglFramebuffer : null;\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.copyFramebufferToTexture = function ( position, texture, level = 0 ) {\n\n\t\t\tconst levelScale = Math.pow( 2, - level );\n\t\t\tconst width = Math.floor( texture.image.width * levelScale );\n\t\t\tconst height = Math.floor( texture.image.height * levelScale );\n\n\t\t\ttextures.setTexture2D( texture, 0 );\n\n\t\t\t_gl.copyTexSubImage2D( _gl.TEXTURE_2D, level, 0, 0, position.x, position.y, width, height );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.copyTextureToTexture = function ( position, srcTexture, dstTexture, level = 0 ) {\n\n\t\t\tconst width = srcTexture.image.width;\n\t\t\tconst height = srcTexture.image.height;\n\t\t\tconst glFormat = utils.convert( dstTexture.format );\n\t\t\tconst glType = utils.convert( dstTexture.type );\n\n\t\t\ttextures.setTexture2D( dstTexture, 0 );\n\n\t\t\t// As another texture upload may have changed pixelStorei\n\t\t\t// parameters, make sure they are correct for the dstTexture\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment );\n\n\t\t\tif ( srcTexture.isDataTexture ) {\n\n\t\t\t\t_gl.texSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, width, height, glFormat, glType, srcTexture.image.data );\n\n\t\t\t} else {\n\n\t\t\t\tif ( srcTexture.isCompressedTexture ) {\n\n\t\t\t\t\t_gl.compressedTexSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, srcTexture.mipmaps[ 0 ].width, srcTexture.mipmaps[ 0 ].height, glFormat, srcTexture.mipmaps[ 0 ].data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.texSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, glFormat, glType, srcTexture.image );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Generate mipmaps only when copying level 0\n\t\t\tif ( level === 0 && dstTexture.generateMipmaps ) _gl.generateMipmap( _gl.TEXTURE_2D );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.copyTextureToTexture3D = function ( sourceBox, position, srcTexture, dstTexture, level = 0 ) {\n\n\t\t\tif ( _this.isWebGL1Renderer ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst width = sourceBox.max.x - sourceBox.min.x + 1;\n\t\t\tconst height = sourceBox.max.y - sourceBox.min.y + 1;\n\t\t\tconst depth = sourceBox.max.z - sourceBox.min.z + 1;\n\t\t\tconst glFormat = utils.convert( dstTexture.format );\n\t\t\tconst glType = utils.convert( dstTexture.type );\n\t\t\tlet glTarget;\n\n\t\t\tif ( dstTexture.isData3DTexture ) {\n\n\t\t\t\ttextures.setTexture3D( dstTexture, 0 );\n\t\t\t\tglTarget = _gl.TEXTURE_3D;\n\n\t\t\t} else if ( dstTexture.isDataArrayTexture || dstTexture.isCompressedArrayTexture ) {\n\n\t\t\t\ttextures.setTexture2DArray( dstTexture, 0 );\n\t\t\t\tglTarget = _gl.TEXTURE_2D_ARRAY;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment );\n\n\t\t\tconst unpackRowLen = _gl.getParameter( _gl.UNPACK_ROW_LENGTH );\n\t\t\tconst unpackImageHeight = _gl.getParameter( _gl.UNPACK_IMAGE_HEIGHT );\n\t\t\tconst unpackSkipPixels = _gl.getParameter( _gl.UNPACK_SKIP_PIXELS );\n\t\t\tconst unpackSkipRows = _gl.getParameter( _gl.UNPACK_SKIP_ROWS );\n\t\t\tconst unpackSkipImages = _gl.getParameter( _gl.UNPACK_SKIP_IMAGES );\n\n\t\t\tconst image = srcTexture.isCompressedTexture ? srcTexture.mipmaps[ level ] : srcTexture.image;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ROW_LENGTH, image.width );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_IMAGE_HEIGHT, image.height );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_PIXELS, sourceBox.min.x );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_ROWS, sourceBox.min.y );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_IMAGES, sourceBox.min.z );\n\n\t\t\tif ( srcTexture.isDataTexture || srcTexture.isData3DTexture ) {\n\n\t\t\t\t_gl.texSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, glType, image.data );\n\n\t\t\t} else {\n\n\t\t\t\tif ( srcTexture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture.' );\n\t\t\t\t\t_gl.compressedTexSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.texSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, glType, image );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ROW_LENGTH, unpackRowLen );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_IMAGE_HEIGHT, unpackImageHeight );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_PIXELS, unpackSkipPixels );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_ROWS, unpackSkipRows );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_IMAGES, unpackSkipImages );\n\n\t\t\t// Generate mipmaps only when copying level 0\n\t\t\tif ( level === 0 && dstTexture.generateMipmaps ) _gl.generateMipmap( glTarget );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.initTexture = function ( texture ) {\n\n\t\t\tif ( texture.isCubeTexture ) {\n\n\t\t\t\ttextures.setTextureCube( texture, 0 );\n\n\t\t\t} else if ( texture.isData3DTexture ) {\n\n\t\t\t\ttextures.setTexture3D( texture, 0 );\n\n\t\t\t} else if ( texture.isDataArrayTexture || texture.isCompressedArrayTexture ) {\n\n\t\t\t\ttextures.setTexture2DArray( texture, 0 );\n\n\t\t\t} else {\n\n\t\t\t\ttextures.setTexture2D( texture, 0 );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.resetState = function () {\n\n\t\t\t_currentActiveCubeFace = 0;\n\t\t\t_currentActiveMipmapLevel = 0;\n\t\t\t_currentRenderTarget = null;\n\n\t\t\tstate.reset();\n\t\t\tbindingStates.reset();\n\n\t\t};\n\n\t\tif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t\t\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'observe', { detail: this } ) );\n\n\t\t}\n\n\t}\n\n\tget coordinateSystem() {\n\n\t\treturn WebGLCoordinateSystem;\n\n\t}\n\n\tget outputColorSpace() {\n\n\t\treturn this._outputColorSpace;\n\n\t}\n\n\tset outputColorSpace( colorSpace ) {\n\n\t\tthis._outputColorSpace = colorSpace;\n\n\t\tconst gl = this.getContext();\n\t\tgl.drawingBufferColorSpace = colorSpace === DisplayP3ColorSpace ? 'display-p3' : 'srgb';\n\t\tgl.unpackColorSpace = ColorManagement.workingColorSpace === LinearDisplayP3ColorSpace ? 'display-p3' : 'srgb';\n\n\t}\n\n\tget outputEncoding() { // @deprecated, r152\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead.' );\n\t\treturn this.outputColorSpace === SRGBColorSpace ? sRGBEncoding : LinearEncoding;\n\n\t}\n\n\tset outputEncoding( encoding ) { // @deprecated, r152\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead.' );\n\t\tthis.outputColorSpace = encoding === sRGBEncoding ? SRGBColorSpace : LinearSRGBColorSpace;\n\n\t}\n\n\tget useLegacyLights() { // @deprecated, r155\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733.' );\n\t\treturn this._useLegacyLights;\n\n\t}\n\n\tset useLegacyLights( value ) { // @deprecated, r155\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733.' );\n\t\tthis._useLegacyLights = value;\n\n\t}\n\n}\n\nclass WebGL1Renderer extends WebGLRenderer {}\n\nWebGL1Renderer.prototype.isWebGL1Renderer = true;\n\nclass FogExp2 {\n\n\tconstructor( color, density = 0.00025 ) {\n\n\t\tthis.isFogExp2 = true;\n\n\t\tthis.name = '';\n\n\t\tthis.color = new Color( color );\n\t\tthis.density = density;\n\n\t}\n\n\tclone() {\n\n\t\treturn new FogExp2( this.color, this.density );\n\n\t}\n\n\ttoJSON( /* meta */ ) {\n\n\t\treturn {\n\t\t\ttype: 'FogExp2',\n\t\t\tname: this.name,\n\t\t\tcolor: this.color.getHex(),\n\t\t\tdensity: this.density\n\t\t};\n\n\t}\n\n}\n\nclass Fog {\n\n\tconstructor( color, near = 1, far = 1000 ) {\n\n\t\tthis.isFog = true;\n\n\t\tthis.name = '';\n\n\t\tthis.color = new Color( color );\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Fog( this.color, this.near, this.far );\n\n\t}\n\n\ttoJSON( /* meta */ ) {\n\n\t\treturn {\n\t\t\ttype: 'Fog',\n\t\t\tname: this.name,\n\t\t\tcolor: this.color.getHex(),\n\t\t\tnear: this.near,\n\t\t\tfar: this.far\n\t\t};\n\n\t}\n\n}\n\nclass Scene extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isScene = true;\n\n\t\tthis.type = 'Scene';\n\n\t\tthis.background = null;\n\t\tthis.environment = null;\n\t\tthis.fog = null;\n\n\t\tthis.backgroundBlurriness = 0;\n\t\tthis.backgroundIntensity = 1;\n\n\t\tthis.overrideMaterial = null;\n\n\t\tif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t\t\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'observe', { detail: this } ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.background !== null ) this.background = source.background.clone();\n\t\tif ( source.environment !== null ) this.environment = source.environment.clone();\n\t\tif ( source.fog !== null ) this.fog = source.fog.clone();\n\n\t\tthis.backgroundBlurriness = source.backgroundBlurriness;\n\t\tthis.backgroundIntensity = source.backgroundIntensity;\n\n\t\tif ( source.overrideMaterial !== null ) this.overrideMaterial = source.overrideMaterial.clone();\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.fog !== null ) data.object.fog = this.fog.toJSON();\n\t\tif ( this.backgroundBlurriness > 0 ) data.object.backgroundBlurriness = this.backgroundBlurriness;\n\t\tif ( this.backgroundIntensity !== 1 ) data.object.backgroundIntensity = this.backgroundIntensity;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass InterleavedBuffer {\n\n\tconstructor( array, stride ) {\n\n\t\tthis.isInterleavedBuffer = true;\n\n\t\tthis.array = array;\n\t\tthis.stride = stride;\n\t\tthis.count = array !== undefined ? array.length / stride : 0;\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis._updateRange = { offset: 0, count: - 1 };\n\t\tthis.updateRanges = [];\n\n\t\tthis.version = 0;\n\n\t\tthis.uuid = generateUUID();\n\n\t}\n\n\tonUploadCallback() {}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tget updateRange() {\n\n\t\tconsole.warn( 'THREE.InterleavedBuffer: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead.' ); // @deprecated, r159\n\t\treturn this._updateRange;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\taddUpdateRange( start, count ) {\n\n\t\tthis.updateRanges.push( { start, count } );\n\n\t}\n\n\tclearUpdateRanges() {\n\n\t\tthis.updateRanges.length = 0;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.array = new source.array.constructor( source.array );\n\t\tthis.count = source.count;\n\t\tthis.stride = source.stride;\n\t\tthis.usage = source.usage;\n\n\t\treturn this;\n\n\t}\n\n\tcopyAt( index1, attribute, index2 ) {\n\n\t\tindex1 *= this.stride;\n\t\tindex2 *= attribute.stride;\n\n\t\tfor ( let i = 0, l = this.stride; i < l; i ++ ) {\n\n\t\t\tthis.array[ index1 + i ] = attribute.array[ index2 + i ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tset( value, offset = 0 ) {\n\n\t\tthis.array.set( value, offset );\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tif ( data.arrayBuffers === undefined ) {\n\n\t\t\tdata.arrayBuffers = {};\n\n\t\t}\n\n\t\tif ( this.array.buffer._uuid === undefined ) {\n\n\t\t\tthis.array.buffer._uuid = generateUUID();\n\n\t\t}\n\n\t\tif ( data.arrayBuffers[ this.array.buffer._uuid ] === undefined ) {\n\n\t\t\tdata.arrayBuffers[ this.array.buffer._uuid ] = this.array.slice( 0 ).buffer;\n\n\t\t}\n\n\t\tconst array = new this.array.constructor( data.arrayBuffers[ this.array.buffer._uuid ] );\n\n\t\tconst ib = new this.constructor( array, this.stride );\n\t\tib.setUsage( this.usage );\n\n\t\treturn ib;\n\n\t}\n\n\tonUpload( callback ) {\n\n\t\tthis.onUploadCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tif ( data.arrayBuffers === undefined ) {\n\n\t\t\tdata.arrayBuffers = {};\n\n\t\t}\n\n\t\t// generate UUID for array buffer if necessary\n\n\t\tif ( this.array.buffer._uuid === undefined ) {\n\n\t\t\tthis.array.buffer._uuid = generateUUID();\n\n\t\t}\n\n\t\tif ( data.arrayBuffers[ this.array.buffer._uuid ] === undefined ) {\n\n\t\t\tdata.arrayBuffers[ this.array.buffer._uuid ] = Array.from( new Uint32Array( this.array.buffer ) );\n\n\t\t}\n\n\t\t//\n\n\t\treturn {\n\t\t\tuuid: this.uuid,\n\t\t\tbuffer: this.array.buffer._uuid,\n\t\t\ttype: this.array.constructor.name,\n\t\t\tstride: this.stride\n\t\t};\n\n\t}\n\n}\n\nconst _vector$6 = /*@__PURE__*/ new Vector3();\n\nclass InterleavedBufferAttribute {\n\n\tconstructor( interleavedBuffer, itemSize, offset, normalized = false ) {\n\n\t\tthis.isInterleavedBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.data = interleavedBuffer;\n\t\tthis.itemSize = itemSize;\n\t\tthis.offset = offset;\n\n\t\tthis.normalized = normalized;\n\n\t}\n\n\tget count() {\n\n\t\treturn this.data.count;\n\n\t}\n\n\tget array() {\n\n\t\treturn this.data.array;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tthis.data.needsUpdate = value;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tfor ( let i = 0, l = this.data.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.applyMatrix4( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.applyNormalMatrix( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.transformDirection( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset ] = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = this.data.array[ index * this.data.stride + this.offset ];\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = this.data.array[ index * this.data.stride + this.offset + 1 ];\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = this.data.array[ index * this.data.stride + this.offset + 2 ];\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = this.data.array[ index * this.data.stride + this.offset + 3 ];\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\t\tthis.data.array[ index + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\t\tthis.data.array[ index + 2 ] = z;\n\t\tthis.data.array[ index + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tif ( data === undefined ) {\n\n\t\t\tconsole.log( 'THREE.InterleavedBufferAttribute.clone(): Cloning an interleaved buffer attribute will de-interleave buffer data.' );\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0; i < this.count; i ++ ) {\n\n\t\t\t\tconst index = i * this.data.stride + this.offset;\n\n\t\t\t\tfor ( let j = 0; j < this.itemSize; j ++ ) {\n\n\t\t\t\t\tarray.push( this.data.array[ index + j ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn new BufferAttribute( new this.array.constructor( array ), this.itemSize, this.normalized );\n\n\t\t} else {\n\n\t\t\tif ( data.interleavedBuffers === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers = {};\n\n\t\t\t}\n\n\t\t\tif ( data.interleavedBuffers[ this.data.uuid ] === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers[ this.data.uuid ] = this.data.clone( data );\n\n\t\t\t}\n\n\t\t\treturn new InterleavedBufferAttribute( data.interleavedBuffers[ this.data.uuid ], this.itemSize, this.offset, this.normalized );\n\n\t\t}\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tif ( data === undefined ) {\n\n\t\t\tconsole.log( 'THREE.InterleavedBufferAttribute.toJSON(): Serializing an interleaved buffer attribute will de-interleave buffer data.' );\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0; i < this.count; i ++ ) {\n\n\t\t\t\tconst index = i * this.data.stride + this.offset;\n\n\t\t\t\tfor ( let j = 0; j < this.itemSize; j ++ ) {\n\n\t\t\t\t\tarray.push( this.data.array[ index + j ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// de-interleave data and save it as an ordinary buffer attribute for now\n\n\t\t\treturn {\n\t\t\t\titemSize: this.itemSize,\n\t\t\t\ttype: this.array.constructor.name,\n\t\t\t\tarray: array,\n\t\t\t\tnormalized: this.normalized\n\t\t\t};\n\n\t\t} else {\n\n\t\t\t// save as true interleaved attribute\n\n\t\t\tif ( data.interleavedBuffers === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers = {};\n\n\t\t\t}\n\n\t\t\tif ( data.interleavedBuffers[ this.data.uuid ] === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers[ this.data.uuid ] = this.data.toJSON( data );\n\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tisInterleavedBufferAttribute: true,\n\t\t\t\titemSize: this.itemSize,\n\t\t\t\tdata: this.data.uuid,\n\t\t\t\toffset: this.offset,\n\t\t\t\tnormalized: this.normalized\n\t\t\t};\n\n\t\t}\n\n\t}\n\n}\n\nclass SpriteMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isSpriteMaterial = true;\n\n\t\tthis.type = 'SpriteMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.rotation = 0;\n\n\t\tthis.sizeAttenuation = true;\n\n\t\tthis.transparent = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.rotation = source.rotation;\n\n\t\tthis.sizeAttenuation = source.sizeAttenuation;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nlet _geometry;\n\nconst _intersectPoint = /*@__PURE__*/ new Vector3();\nconst _worldScale = /*@__PURE__*/ new Vector3();\nconst _mvPosition = /*@__PURE__*/ new Vector3();\n\nconst _alignedPosition = /*@__PURE__*/ new Vector2();\nconst _rotatedPosition = /*@__PURE__*/ new Vector2();\nconst _viewWorldMatrix = /*@__PURE__*/ new Matrix4();\n\nconst _vA = /*@__PURE__*/ new Vector3();\nconst _vB = /*@__PURE__*/ new Vector3();\nconst _vC = /*@__PURE__*/ new Vector3();\n\nconst _uvA = /*@__PURE__*/ new Vector2();\nconst _uvB = /*@__PURE__*/ new Vector2();\nconst _uvC = /*@__PURE__*/ new Vector2();\n\nclass Sprite extends Object3D {\n\n\tconstructor( material = new SpriteMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isSprite = true;\n\n\t\tthis.type = 'Sprite';\n\n\t\tif ( _geometry === undefined ) {\n\n\t\t\t_geometry = new BufferGeometry();\n\n\t\t\tconst float32Array = new Float32Array( [\n\t\t\t\t- 0.5, - 0.5, 0, 0, 0,\n\t\t\t\t0.5, - 0.5, 0, 1, 0,\n\t\t\t\t0.5, 0.5, 0, 1, 1,\n\t\t\t\t- 0.5, 0.5, 0, 0, 1\n\t\t\t] );\n\n\t\t\tconst interleavedBuffer = new InterleavedBuffer( float32Array, 5 );\n\n\t\t\t_geometry.setIndex( [ 0, 1, 2,\t0, 2, 3 ] );\n\t\t\t_geometry.setAttribute( 'position', new InterleavedBufferAttribute( interleavedBuffer, 3, 0, false ) );\n\t\t\t_geometry.setAttribute( 'uv', new InterleavedBufferAttribute( interleavedBuffer, 2, 3, false ) );\n\n\t\t}\n\n\t\tthis.geometry = _geometry;\n\t\tthis.material = material;\n\n\t\tthis.center = new Vector2( 0.5, 0.5 );\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tif ( raycaster.camera === null ) {\n\n\t\t\tconsole.error( 'THREE.Sprite: \"Raycaster.camera\" needs to be set in order to raycast against sprites.' );\n\n\t\t}\n\n\t\t_worldScale.setFromMatrixScale( this.matrixWorld );\n\n\t\t_viewWorldMatrix.copy( raycaster.camera.matrixWorld );\n\t\tthis.modelViewMatrix.multiplyMatrices( raycaster.camera.matrixWorldInverse, this.matrixWorld );\n\n\t\t_mvPosition.setFromMatrixPosition( this.modelViewMatrix );\n\n\t\tif ( raycaster.camera.isPerspectiveCamera && this.material.sizeAttenuation === false ) {\n\n\t\t\t_worldScale.multiplyScalar( - _mvPosition.z );\n\n\t\t}\n\n\t\tconst rotation = this.material.rotation;\n\t\tlet sin, cos;\n\n\t\tif ( rotation !== 0 ) {\n\n\t\t\tcos = Math.cos( rotation );\n\t\t\tsin = Math.sin( rotation );\n\n\t\t}\n\n\t\tconst center = this.center;\n\n\t\ttransformVertex( _vA.set( - 0.5, - 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\ttransformVertex( _vB.set( 0.5, - 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\ttransformVertex( _vC.set( 0.5, 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\n\t\t_uvA.set( 0, 0 );\n\t\t_uvB.set( 1, 0 );\n\t\t_uvC.set( 1, 1 );\n\n\t\t// check first triangle\n\t\tlet intersect = raycaster.ray.intersectTriangle( _vA, _vB, _vC, false, _intersectPoint );\n\n\t\tif ( intersect === null ) {\n\n\t\t\t// check second triangle\n\t\t\ttransformVertex( _vB.set( - 0.5, 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\t\t_uvB.set( 0, 1 );\n\n\t\t\tintersect = raycaster.ray.intersectTriangle( _vA, _vC, _vB, false, _intersectPoint );\n\t\t\tif ( intersect === null ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst distance = raycaster.ray.origin.distanceTo( _intersectPoint );\n\n\t\tif ( distance < raycaster.near || distance > raycaster.far ) return;\n\n\t\tintersects.push( {\n\n\t\t\tdistance: distance,\n\t\t\tpoint: _intersectPoint.clone(),\n\t\t\tuv: Triangle.getInterpolation( _intersectPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2() ),\n\t\t\tface: null,\n\t\t\tobject: this\n\n\t\t} );\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.center !== undefined ) this.center.copy( source.center );\n\n\t\tthis.material = source.material;\n\n\t\treturn this;\n\n\t}\n\n}\n\nfunction transformVertex( vertexPosition, mvPosition, center, scale, sin, cos ) {\n\n\t// compute position in camera space\n\t_alignedPosition.subVectors( vertexPosition, center ).addScalar( 0.5 ).multiply( scale );\n\n\t// to check if rotation is not zero\n\tif ( sin !== undefined ) {\n\n\t\t_rotatedPosition.x = ( cos * _alignedPosition.x ) - ( sin * _alignedPosition.y );\n\t\t_rotatedPosition.y = ( sin * _alignedPosition.x ) + ( cos * _alignedPosition.y );\n\n\t} else {\n\n\t\t_rotatedPosition.copy( _alignedPosition );\n\n\t}\n\n\n\tvertexPosition.copy( mvPosition );\n\tvertexPosition.x += _rotatedPosition.x;\n\tvertexPosition.y += _rotatedPosition.y;\n\n\t// transform to world space\n\tvertexPosition.applyMatrix4( _viewWorldMatrix );\n\n}\n\nconst _v1$2 = /*@__PURE__*/ new Vector3();\nconst _v2$1 = /*@__PURE__*/ new Vector3();\n\nclass LOD extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis._currentLevel = 0;\n\n\t\tthis.type = 'LOD';\n\n\t\tObject.defineProperties( this, {\n\t\t\tlevels: {\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: []\n\t\t\t},\n\t\t\tisLOD: {\n\t\t\t\tvalue: true,\n\t\t\t}\n\t\t} );\n\n\t\tthis.autoUpdate = true;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source, false );\n\n\t\tconst levels = source.levels;\n\n\t\tfor ( let i = 0, l = levels.length; i < l; i ++ ) {\n\n\t\t\tconst level = levels[ i ];\n\n\t\t\tthis.addLevel( level.object.clone(), level.distance, level.hysteresis );\n\n\t\t}\n\n\t\tthis.autoUpdate = source.autoUpdate;\n\n\t\treturn this;\n\n\t}\n\n\taddLevel( object, distance = 0, hysteresis = 0 ) {\n\n\t\tdistance = Math.abs( distance );\n\n\t\tconst levels = this.levels;\n\n\t\tlet l;\n\n\t\tfor ( l = 0; l < levels.length; l ++ ) {\n\n\t\t\tif ( distance < levels[ l ].distance ) {\n\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlevels.splice( l, 0, { distance: distance, hysteresis: hysteresis, object: object } );\n\n\t\tthis.add( object );\n\n\t\treturn this;\n\n\t}\n\n\tgetCurrentLevel() {\n\n\t\treturn this._currentLevel;\n\n\t}\n\n\n\n\tgetObjectForDistance( distance ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 0 ) {\n\n\t\t\tlet i, l;\n\n\t\t\tfor ( i = 1, l = levels.length; i < l; i ++ ) {\n\n\t\t\t\tlet levelDistance = levels[ i ].distance;\n\n\t\t\t\tif ( levels[ i ].object.visible ) {\n\n\t\t\t\t\tlevelDistance -= levelDistance * levels[ i ].hysteresis;\n\n\t\t\t\t}\n\n\t\t\t\tif ( distance < levelDistance ) {\n\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn levels[ i - 1 ].object;\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 0 ) {\n\n\t\t\t_v1$2.setFromMatrixPosition( this.matrixWorld );\n\n\t\t\tconst distance = raycaster.ray.origin.distanceTo( _v1$2 );\n\n\t\t\tthis.getObjectForDistance( distance ).raycast( raycaster, intersects );\n\n\t\t}\n\n\t}\n\n\tupdate( camera ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 1 ) {\n\n\t\t\t_v1$2.setFromMatrixPosition( camera.matrixWorld );\n\t\t\t_v2$1.setFromMatrixPosition( this.matrixWorld );\n\n\t\t\tconst distance = _v1$2.distanceTo( _v2$1 ) / camera.zoom;\n\n\t\t\tlevels[ 0 ].object.visible = true;\n\n\t\t\tlet i, l;\n\n\t\t\tfor ( i = 1, l = levels.length; i < l; i ++ ) {\n\n\t\t\t\tlet levelDistance = levels[ i ].distance;\n\n\t\t\t\tif ( levels[ i ].object.visible ) {\n\n\t\t\t\t\tlevelDistance -= levelDistance * levels[ i ].hysteresis;\n\n\t\t\t\t}\n\n\t\t\t\tif ( distance >= levelDistance ) {\n\n\t\t\t\t\tlevels[ i - 1 ].object.visible = false;\n\t\t\t\t\tlevels[ i ].object.visible = true;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._currentLevel = i - 1;\n\n\t\t\tfor ( ; i < l; i ++ ) {\n\n\t\t\t\tlevels[ i ].object.visible = false;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.autoUpdate === false ) data.object.autoUpdate = false;\n\n\t\tdata.object.levels = [];\n\n\t\tconst levels = this.levels;\n\n\t\tfor ( let i = 0, l = levels.length; i < l; i ++ ) {\n\n\t\t\tconst level = levels[ i ];\n\n\t\t\tdata.object.levels.push( {\n\t\t\t\tobject: level.object.uuid,\n\t\t\t\tdistance: level.distance,\n\t\t\t\thysteresis: level.hysteresis\n\t\t\t} );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst _basePosition = /*@__PURE__*/ new Vector3();\n\nconst _skinIndex = /*@__PURE__*/ new Vector4();\nconst _skinWeight = /*@__PURE__*/ new Vector4();\n\nconst _vector3 = /*@__PURE__*/ new Vector3();\nconst _matrix4 = /*@__PURE__*/ new Matrix4();\nconst _vertex = /*@__PURE__*/ new Vector3();\n\nconst _sphere$4 = /*@__PURE__*/ new Sphere();\nconst _inverseMatrix$2 = /*@__PURE__*/ new Matrix4();\nconst _ray$2 = /*@__PURE__*/ new Ray();\n\nclass SkinnedMesh extends Mesh {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isSkinnedMesh = true;\n\n\t\tthis.type = 'SkinnedMesh';\n\n\t\tthis.bindMode = AttachedBindMode;\n\t\tthis.bindMatrix = new Matrix4();\n\t\tthis.bindMatrixInverse = new Matrix4();\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tthis.boundingBox.makeEmpty();\n\n\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0; i < positionAttribute.count; i ++ ) {\n\n\t\t\tthis.getVertexPosition( i, _vertex );\n\t\t\tthis.boundingBox.expandByPoint( _vertex );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tthis.boundingSphere.makeEmpty();\n\n\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0; i < positionAttribute.count; i ++ ) {\n\n\t\t\tthis.getVertexPosition( i, _vertex );\n\t\t\tthis.boundingSphere.expandByPoint( _vertex );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.bindMode = source.bindMode;\n\t\tthis.bindMatrix.copy( source.bindMatrix );\n\t\tthis.bindMatrixInverse.copy( source.bindMatrixInverse );\n\n\t\tthis.skeleton = source.skeleton;\n\n\t\tif ( source.boundingBox !== null ) this.boundingBox = source.boundingBox.clone();\n\t\tif ( source.boundingSphere !== null ) this.boundingSphere = source.boundingSphere.clone();\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst material = this.material;\n\t\tconst matrixWorld = this.matrixWorld;\n\n\t\tif ( material === undefined ) return;\n\n\t\t// test with bounding sphere in world space\n\n\t\tif ( this.boundingSphere === null ) this.computeBoundingSphere();\n\n\t\t_sphere$4.copy( this.boundingSphere );\n\t\t_sphere$4.applyMatrix4( matrixWorld );\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$4 ) === false ) return;\n\n\t\t// convert ray to local space of skinned mesh\n\n\t\t_inverseMatrix$2.copy( matrixWorld ).invert();\n\t\t_ray$2.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$2 );\n\n\t\t// test with bounding box in local space\n\n\t\tif ( this.boundingBox !== null ) {\n\n\t\t\tif ( _ray$2.intersectsBox( this.boundingBox ) === false ) return;\n\n\t\t}\n\n\t\t// test for intersections with geometry\n\n\t\tthis._computeIntersections( raycaster, intersects, _ray$2 );\n\n\t}\n\n\tgetVertexPosition( index, target ) {\n\n\t\tsuper.getVertexPosition( index, target );\n\n\t\tthis.applyBoneTransform( index, target );\n\n\t\treturn target;\n\n\t}\n\n\tbind( skeleton, bindMatrix ) {\n\n\t\tthis.skeleton = skeleton;\n\n\t\tif ( bindMatrix === undefined ) {\n\n\t\t\tthis.updateMatrixWorld( true );\n\n\t\t\tthis.skeleton.calculateInverses();\n\n\t\t\tbindMatrix = this.matrixWorld;\n\n\t\t}\n\n\t\tthis.bindMatrix.copy( bindMatrix );\n\t\tthis.bindMatrixInverse.copy( bindMatrix ).invert();\n\n\t}\n\n\tpose() {\n\n\t\tthis.skeleton.pose();\n\n\t}\n\n\tnormalizeSkinWeights() {\n\n\t\tconst vector = new Vector4();\n\n\t\tconst skinWeight = this.geometry.attributes.skinWeight;\n\n\t\tfor ( let i = 0, l = skinWeight.count; i < l; i ++ ) {\n\n\t\t\tvector.fromBufferAttribute( skinWeight, i );\n\n\t\t\tconst scale = 1.0 / vector.manhattanLength();\n\n\t\t\tif ( scale !== Infinity ) {\n\n\t\t\t\tvector.multiplyScalar( scale );\n\n\t\t\t} else {\n\n\t\t\t\tvector.set( 1, 0, 0, 0 ); // do something reasonable\n\n\t\t\t}\n\n\t\t\tskinWeight.setXYZW( i, vector.x, vector.y, vector.z, vector.w );\n\n\t\t}\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tif ( this.bindMode === AttachedBindMode ) {\n\n\t\t\tthis.bindMatrixInverse.copy( this.matrixWorld ).invert();\n\n\t\t} else if ( this.bindMode === DetachedBindMode ) {\n\n\t\t\tthis.bindMatrixInverse.copy( this.bindMatrix ).invert();\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.SkinnedMesh: Unrecognized bindMode: ' + this.bindMode );\n\n\t\t}\n\n\t}\n\n\tapplyBoneTransform( index, vector ) {\n\n\t\tconst skeleton = this.skeleton;\n\t\tconst geometry = this.geometry;\n\n\t\t_skinIndex.fromBufferAttribute( geometry.attributes.skinIndex, index );\n\t\t_skinWeight.fromBufferAttribute( geometry.attributes.skinWeight, index );\n\n\t\t_basePosition.copy( vector ).applyMatrix4( this.bindMatrix );\n\n\t\tvector.set( 0, 0, 0 );\n\n\t\tfor ( let i = 0; i < 4; i ++ ) {\n\n\t\t\tconst weight = _skinWeight.getComponent( i );\n\n\t\t\tif ( weight !== 0 ) {\n\n\t\t\t\tconst boneIndex = _skinIndex.getComponent( i );\n\n\t\t\t\t_matrix4.multiplyMatrices( skeleton.bones[ boneIndex ].matrixWorld, skeleton.boneInverses[ boneIndex ] );\n\n\t\t\t\tvector.addScaledVector( _vector3.copy( _basePosition ).applyMatrix4( _matrix4 ), weight );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn vector.applyMatrix4( this.bindMatrixInverse );\n\n\t}\n\n\tboneTransform( index, vector ) { // @deprecated, r151\n\n\t\tconsole.warn( 'THREE.SkinnedMesh: .boneTransform() was renamed to .applyBoneTransform() in r151.' );\n\t\treturn this.applyBoneTransform( index, vector );\n\n\t}\n\n\n}\n\nclass Bone extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isBone = true;\n\n\t\tthis.type = 'Bone';\n\n\t}\n\n}\n\nclass DataTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, format, type, mapping, wrapS, wrapT, magFilter = NearestFilter, minFilter = NearestFilter, anisotropy, colorSpace ) {\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isDataTexture = true;\n\n\t\tthis.image = { data: data, width: width, height: height };\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nconst _offsetMatrix = /*@__PURE__*/ new Matrix4();\nconst _identityMatrix$1 = /*@__PURE__*/ new Matrix4();\n\nclass Skeleton {\n\n\tconstructor( bones = [], boneInverses = [] ) {\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.bones = bones.slice( 0 );\n\t\tthis.boneInverses = boneInverses;\n\t\tthis.boneMatrices = null;\n\n\t\tthis.boneTexture = null;\n\n\t\tthis.init();\n\n\t}\n\n\tinit() {\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\n\t\tthis.boneMatrices = new Float32Array( bones.length * 16 );\n\n\t\t// calculate inverse bone matrices if necessary\n\n\t\tif ( boneInverses.length === 0 ) {\n\n\t\t\tthis.calculateInverses();\n\n\t\t} else {\n\n\t\t\t// handle special case\n\n\t\t\tif ( bones.length !== boneInverses.length ) {\n\n\t\t\t\tconsole.warn( 'THREE.Skeleton: Number of inverse bone matrices does not match amount of bones.' );\n\n\t\t\t\tthis.boneInverses = [];\n\n\t\t\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\t\t\tthis.boneInverses.push( new Matrix4() );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcalculateInverses() {\n\n\t\tthis.boneInverses.length = 0;\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst inverse = new Matrix4();\n\n\t\t\tif ( this.bones[ i ] ) {\n\n\t\t\t\tinverse.copy( this.bones[ i ].matrixWorld ).invert();\n\n\t\t\t}\n\n\t\t\tthis.boneInverses.push( inverse );\n\n\t\t}\n\n\t}\n\n\tpose() {\n\n\t\t// recover the bind-time world matrices\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone ) {\n\n\t\t\t\tbone.matrixWorld.copy( this.boneInverses[ i ] ).invert();\n\n\t\t\t}\n\n\t\t}\n\n\t\t// compute the local matrices, positions, rotations and scales\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone ) {\n\n\t\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\t\tbone.matrix.copy( bone.parent.matrixWorld ).invert();\n\t\t\t\t\tbone.matrix.multiply( bone.matrixWorld );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbone.matrix.copy( bone.matrixWorld );\n\n\t\t\t\t}\n\n\t\t\t\tbone.matrix.decompose( bone.position, bone.quaternion, bone.scale );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdate() {\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\t\tconst boneMatrices = this.boneMatrices;\n\t\tconst boneTexture = this.boneTexture;\n\n\t\t// flatten bone matrices to array\n\n\t\tfor ( let i = 0, il = bones.length; i < il; i ++ ) {\n\n\t\t\t// compute the offset between the current and the original transform\n\n\t\t\tconst matrix = bones[ i ] ? bones[ i ].matrixWorld : _identityMatrix$1;\n\n\t\t\t_offsetMatrix.multiplyMatrices( matrix, boneInverses[ i ] );\n\t\t\t_offsetMatrix.toArray( boneMatrices, i * 16 );\n\n\t\t}\n\n\t\tif ( boneTexture !== null ) {\n\n\t\t\tboneTexture.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new Skeleton( this.bones, this.boneInverses );\n\n\t}\n\n\tcomputeBoneTexture() {\n\n\t\t// layout (1 matrix = 4 pixels)\n\t\t// RGBA RGBA RGBA RGBA (=> column1, column2, column3, column4)\n\t\t// with 8x8 pixel texture max 16 bones * 4 pixels = (8 * 8)\n\t\t// 16x16 pixel texture max 64 bones * 4 pixels = (16 * 16)\n\t\t// 32x32 pixel texture max 256 bones * 4 pixels = (32 * 32)\n\t\t// 64x64 pixel texture max 1024 bones * 4 pixels = (64 * 64)\n\n\t\tlet size = Math.sqrt( this.bones.length * 4 ); // 4 pixels needed for 1 matrix\n\t\tsize = Math.ceil( size / 4 ) * 4;\n\t\tsize = Math.max( size, 4 );\n\n\t\tconst boneMatrices = new Float32Array( size * size * 4 ); // 4 floats per RGBA pixel\n\t\tboneMatrices.set( this.boneMatrices ); // copy current values\n\n\t\tconst boneTexture = new DataTexture( boneMatrices, size, size, RGBAFormat, FloatType );\n\t\tboneTexture.needsUpdate = true;\n\n\t\tthis.boneMatrices = boneMatrices;\n\t\tthis.boneTexture = boneTexture;\n\n\t\treturn this;\n\n\t}\n\n\tgetBoneByName( name ) {\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone.name === name ) {\n\n\t\t\t\treturn bone;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn undefined;\n\n\t}\n\n\tdispose( ) {\n\n\t\tif ( this.boneTexture !== null ) {\n\n\t\t\tthis.boneTexture.dispose();\n\n\t\t\tthis.boneTexture = null;\n\n\t\t}\n\n\t}\n\n\tfromJSON( json, bones ) {\n\n\t\tthis.uuid = json.uuid;\n\n\t\tfor ( let i = 0, l = json.bones.length; i < l; i ++ ) {\n\n\t\t\tconst uuid = json.bones[ i ];\n\t\t\tlet bone = bones[ uuid ];\n\n\t\t\tif ( bone === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.Skeleton: No bone found with UUID:', uuid );\n\t\t\t\tbone = new Bone();\n\n\t\t\t}\n\n\t\t\tthis.bones.push( bone );\n\t\t\tthis.boneInverses.push( new Matrix4().fromArray( json.boneInverses[ i ] ) );\n\n\t\t}\n\n\t\tthis.init();\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Skeleton',\n\t\t\t\tgenerator: 'Skeleton.toJSON'\n\t\t\t},\n\t\t\tbones: [],\n\t\t\tboneInverses: []\n\t\t};\n\n\t\tdata.uuid = this.uuid;\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\n\t\tfor ( let i = 0, l = bones.length; i < l; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\t\t\tdata.bones.push( bone.uuid );\n\n\t\t\tconst boneInverse = boneInverses[ i ];\n\t\t\tdata.boneInverses.push( boneInverse.toArray() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass InstancedBufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized, meshPerAttribute = 1 ) {\n\n\t\tsuper( array, itemSize, normalized );\n\n\t\tthis.isInstancedBufferAttribute = true;\n\n\t\tthis.meshPerAttribute = meshPerAttribute;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.meshPerAttribute = source.meshPerAttribute;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.meshPerAttribute = this.meshPerAttribute;\n\n\t\tdata.isInstancedBufferAttribute = true;\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst _instanceLocalMatrix = /*@__PURE__*/ new Matrix4();\nconst _instanceWorldMatrix = /*@__PURE__*/ new Matrix4();\n\nconst _instanceIntersects = [];\n\nconst _box3 = /*@__PURE__*/ new Box3();\nconst _identity = /*@__PURE__*/ new Matrix4();\nconst _mesh$1 = /*@__PURE__*/ new Mesh();\nconst _sphere$3 = /*@__PURE__*/ new Sphere();\n\nclass InstancedMesh extends Mesh {\n\n\tconstructor( geometry, material, count ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isInstancedMesh = true;\n\n\t\tthis.instanceMatrix = new InstancedBufferAttribute( new Float32Array( count * 16 ), 16 );\n\t\tthis.instanceColor = null;\n\n\t\tthis.count = count;\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.setMatrixAt( i, _identity );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst count = this.count;\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tif ( geometry.boundingBox === null ) {\n\n\t\t\tgeometry.computeBoundingBox();\n\n\t\t}\n\n\t\tthis.boundingBox.makeEmpty();\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.getMatrixAt( i, _instanceLocalMatrix );\n\n\t\t\t_box3.copy( geometry.boundingBox ).applyMatrix4( _instanceLocalMatrix );\n\n\t\t\tthis.boundingBox.union( _box3 );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst count = this.count;\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tif ( geometry.boundingSphere === null ) {\n\n\t\t\tgeometry.computeBoundingSphere();\n\n\t\t}\n\n\t\tthis.boundingSphere.makeEmpty();\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.getMatrixAt( i, _instanceLocalMatrix );\n\n\t\t\t_sphere$3.copy( geometry.boundingSphere ).applyMatrix4( _instanceLocalMatrix );\n\n\t\t\tthis.boundingSphere.union( _sphere$3 );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.instanceMatrix.copy( source.instanceMatrix );\n\n\t\tif ( source.instanceColor !== null ) this.instanceColor = source.instanceColor.clone();\n\n\t\tthis.count = source.count;\n\n\t\tif ( source.boundingBox !== null ) this.boundingBox = source.boundingBox.clone();\n\t\tif ( source.boundingSphere !== null ) this.boundingSphere = source.boundingSphere.clone();\n\n\t\treturn this;\n\n\t}\n\n\tgetColorAt( index, color ) {\n\n\t\tcolor.fromArray( this.instanceColor.array, index * 3 );\n\n\t}\n\n\tgetMatrixAt( index, matrix ) {\n\n\t\tmatrix.fromArray( this.instanceMatrix.array, index * 16 );\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst raycastTimes = this.count;\n\n\t\t_mesh$1.geometry = this.geometry;\n\t\t_mesh$1.material = this.material;\n\n\t\tif ( _mesh$1.material === undefined ) return;\n\n\t\t// test with bounding sphere first\n\n\t\tif ( this.boundingSphere === null ) this.computeBoundingSphere();\n\n\t\t_sphere$3.copy( this.boundingSphere );\n\t\t_sphere$3.applyMatrix4( matrixWorld );\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$3 ) === false ) return;\n\n\t\t// now test each instance\n\n\t\tfor ( let instanceId = 0; instanceId < raycastTimes; instanceId ++ ) {\n\n\t\t\t// calculate the world matrix for each instance\n\n\t\t\tthis.getMatrixAt( instanceId, _instanceLocalMatrix );\n\n\t\t\t_instanceWorldMatrix.multiplyMatrices( matrixWorld, _instanceLocalMatrix );\n\n\t\t\t// the mesh represents this single instance\n\n\t\t\t_mesh$1.matrixWorld = _instanceWorldMatrix;\n\n\t\t\t_mesh$1.raycast( raycaster, _instanceIntersects );\n\n\t\t\t// process the result of raycast\n\n\t\t\tfor ( let i = 0, l = _instanceIntersects.length; i < l; i ++ ) {\n\n\t\t\t\tconst intersect = _instanceIntersects[ i ];\n\t\t\t\tintersect.instanceId = instanceId;\n\t\t\t\tintersect.object = this;\n\t\t\t\tintersects.push( intersect );\n\n\t\t\t}\n\n\t\t\t_instanceIntersects.length = 0;\n\n\t\t}\n\n\t}\n\n\tsetColorAt( index, color ) {\n\n\t\tif ( this.instanceColor === null ) {\n\n\t\t\tthis.instanceColor = new InstancedBufferAttribute( new Float32Array( this.instanceMatrix.count * 3 ), 3 );\n\n\t\t}\n\n\t\tcolor.toArray( this.instanceColor.array, index * 3 );\n\n\t}\n\n\tsetMatrixAt( index, matrix ) {\n\n\t\tmatrix.toArray( this.instanceMatrix.array, index * 16 );\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nfunction sortOpaque( a, b ) {\n\n\treturn a.z - b.z;\n\n}\n\nfunction sortTransparent( a, b ) {\n\n\treturn b.z - a.z;\n\n}\n\nclass MultiDrawRenderList {\n\n\tconstructor() {\n\n\t\tthis.index = 0;\n\t\tthis.pool = [];\n\t\tthis.list = [];\n\n\t}\n\n\tpush( drawRange, z ) {\n\n\t\tconst pool = this.pool;\n\t\tconst list = this.list;\n\t\tif ( this.index >= pool.length ) {\n\n\t\t\tpool.push( {\n\n\t\t\t\tstart: - 1,\n\t\t\t\tcount: - 1,\n\t\t\t\tz: - 1,\n\n\t\t\t} );\n\n\t\t}\n\n\t\tconst item = pool[ this.index ];\n\t\tlist.push( item );\n\t\tthis.index ++;\n\n\t\titem.start = drawRange.start;\n\t\titem.count = drawRange.count;\n\t\titem.z = z;\n\n\t}\n\n\treset() {\n\n\t\tthis.list.length = 0;\n\t\tthis.index = 0;\n\n\t}\n\n}\n\nconst ID_ATTR_NAME = 'batchId';\nconst _matrix = /*@__PURE__*/ new Matrix4();\nconst _invMatrixWorld = /*@__PURE__*/ new Matrix4();\nconst _identityMatrix = /*@__PURE__*/ new Matrix4();\nconst _projScreenMatrix$2 = /*@__PURE__*/ new Matrix4();\nconst _frustum = /*@__PURE__*/ new Frustum();\nconst _box$1 = /*@__PURE__*/ new Box3();\nconst _sphere$2 = /*@__PURE__*/ new Sphere();\nconst _vector$5 = /*@__PURE__*/ new Vector3();\nconst _renderList = /*@__PURE__*/ new MultiDrawRenderList();\nconst _mesh = /*@__PURE__*/ new Mesh();\nconst _batchIntersects = [];\n\n// @TODO: SkinnedMesh support?\n// @TODO: geometry.groups support?\n// @TODO: geometry.drawRange support?\n// @TODO: geometry.morphAttributes support?\n// @TODO: Support uniform parameter per geometry\n// @TODO: Add an \"optimize\" function to pack geometry and remove data gaps\n\n// copies data from attribute \"src\" into \"target\" starting at \"targetOffset\"\nfunction copyAttributeData( src, target, targetOffset = 0 ) {\n\n\tconst itemSize = target.itemSize;\n\tif ( src.isInterleavedBufferAttribute || src.array.constructor !== target.array.constructor ) {\n\n\t\t// use the component getters and setters if the array data cannot\n\t\t// be copied directly\n\t\tconst vertexCount = src.count;\n\t\tfor ( let i = 0; i < vertexCount; i ++ ) {\n\n\t\t\tfor ( let c = 0; c < itemSize; c ++ ) {\n\n\t\t\t\ttarget.setComponent( i + targetOffset, c, src.getComponent( i, c ) );\n\n\t\t\t}\n\n\t\t}\n\n\t} else {\n\n\t\t// faster copy approach using typed array set function\n\t\ttarget.array.set( src.array, targetOffset * itemSize );\n\n\t}\n\n\ttarget.needsUpdate = true;\n\n}\n\nclass BatchedMesh extends Mesh {\n\n\tget maxGeometryCount() {\n\n\t\treturn this._maxGeometryCount;\n\n\t}\n\n\tconstructor( maxGeometryCount, maxVertexCount, maxIndexCount = maxVertexCount * 2, material ) {\n\n\t\tsuper( new BufferGeometry(), material );\n\n\t\tthis.isBatchedMesh = true;\n\t\tthis.perObjectFrustumCulled = true;\n\t\tthis.sortObjects = true;\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\t\tthis.customSort = null;\n\n\t\tthis._drawRanges = [];\n\t\tthis._reservedRanges = [];\n\n\t\tthis._visibility = [];\n\t\tthis._active = [];\n\t\tthis._bounds = [];\n\n\t\tthis._maxGeometryCount = maxGeometryCount;\n\t\tthis._maxVertexCount = maxVertexCount;\n\t\tthis._maxIndexCount = maxIndexCount;\n\n\t\tthis._geometryInitialized = false;\n\t\tthis._geometryCount = 0;\n\t\tthis._multiDrawCounts = new Int32Array( maxGeometryCount );\n\t\tthis._multiDrawStarts = new Int32Array( maxGeometryCount );\n\t\tthis._multiDrawCount = 0;\n\t\tthis._visibilityChanged = true;\n\n\t\t// Local matrix per geometry by using data texture\n\t\tthis._matricesTexture = null;\n\n\t\tthis._initMatricesTexture();\n\n\t}\n\n\t_initMatricesTexture() {\n\n\t\t// layout (1 matrix = 4 pixels)\n\t\t// RGBA RGBA RGBA RGBA (=> column1, column2, column3, column4)\n\t\t// with 8x8 pixel texture max 16 matrices * 4 pixels = (8 * 8)\n\t\t// 16x16 pixel texture max 64 matrices * 4 pixels = (16 * 16)\n\t\t// 32x32 pixel texture max 256 matrices * 4 pixels = (32 * 32)\n\t\t// 64x64 pixel texture max 1024 matrices * 4 pixels = (64 * 64)\n\n\t\tlet size = Math.sqrt( this._maxGeometryCount * 4 ); // 4 pixels needed for 1 matrix\n\t\tsize = Math.ceil( size / 4 ) * 4;\n\t\tsize = Math.max( size, 4 );\n\n\t\tconst matricesArray = new Float32Array( size * size * 4 ); // 4 floats per RGBA pixel\n\t\tconst matricesTexture = new DataTexture( matricesArray, size, size, RGBAFormat, FloatType );\n\n\t\tthis._matricesTexture = matricesTexture;\n\n\t}\n\n\t_initializeGeometry( reference ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst maxVertexCount = this._maxVertexCount;\n\t\tconst maxGeometryCount = this._maxGeometryCount;\n\t\tconst maxIndexCount = this._maxIndexCount;\n\t\tif ( this._geometryInitialized === false ) {\n\n\t\t\tfor ( const attributeName in reference.attributes ) {\n\n\t\t\t\tconst srcAttribute = reference.getAttribute( attributeName );\n\t\t\t\tconst { array, itemSize, normalized } = srcAttribute;\n\n\t\t\t\tconst dstArray = new array.constructor( maxVertexCount * itemSize );\n\t\t\t\tconst dstAttribute = new srcAttribute.constructor( dstArray, itemSize, normalized );\n\t\t\t\tdstAttribute.setUsage( srcAttribute.usage );\n\n\t\t\t\tgeometry.setAttribute( attributeName, dstAttribute );\n\n\t\t\t}\n\n\t\t\tif ( reference.getIndex() !== null ) {\n\n\t\t\t\tconst indexArray = maxVertexCount > 65536\n\t\t\t\t\t? new Uint32Array( maxIndexCount )\n\t\t\t\t\t: new Uint16Array( maxIndexCount );\n\n\t\t\t\tgeometry.setIndex( new BufferAttribute( indexArray, 1 ) );\n\n\t\t\t}\n\n\t\t\tconst idArray = maxGeometryCount > 65536\n\t\t\t\t? new Uint32Array( maxVertexCount )\n\t\t\t\t: new Uint16Array( maxVertexCount );\n\t\t\tgeometry.setAttribute( ID_ATTR_NAME, new BufferAttribute( idArray, 1 ) );\n\n\t\t\tthis._geometryInitialized = true;\n\n\t\t}\n\n\t}\n\n\t// Make sure the geometry is compatible with the existing combined geometry atributes\n\t_validateGeometry( geometry ) {\n\n\t\t// check that the geometry doesn't have a version of our reserved id attribute\n\t\tif ( geometry.getAttribute( ID_ATTR_NAME ) ) {\n\n\t\t\tthrow new Error( `BatchedMesh: Geometry cannot use attribute \"${ ID_ATTR_NAME }\"` );\n\n\t\t}\n\n\t\t// check to ensure the geometries are using consistent attributes and indices\n\t\tconst batchGeometry = this.geometry;\n\t\tif ( Boolean( geometry.getIndex() ) !== Boolean( batchGeometry.getIndex() ) ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: All geometries must consistently have \"index\".' );\n\n\t\t}\n\n\t\tfor ( const attributeName in batchGeometry.attributes ) {\n\n\t\t\tif ( attributeName === ID_ATTR_NAME ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( ! geometry.hasAttribute( attributeName ) ) {\n\n\t\t\t\tthrow new Error( `BatchedMesh: Added geometry missing \"${ attributeName }\". All geometries must have consistent attributes.` );\n\n\t\t\t}\n\n\t\t\tconst srcAttribute = geometry.getAttribute( attributeName );\n\t\t\tconst dstAttribute = batchGeometry.getAttribute( attributeName );\n\t\t\tif ( srcAttribute.itemSize !== dstAttribute.itemSize || srcAttribute.normalized !== dstAttribute.normalized ) {\n\n\t\t\t\tthrow new Error( 'BatchedMesh: All attributes must have a consistent itemSize and normalized value.' );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tsetCustomSort( func ) {\n\n\t\tthis.customSort = func;\n\t\treturn this;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst boundingBox = this.boundingBox;\n\t\tconst active = this._active;\n\n\t\tboundingBox.makeEmpty();\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( active[ i ] === false ) continue;\n\n\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\tthis.getBoundingBoxAt( i, _box$1 ).applyMatrix4( _matrix );\n\t\t\tboundingBox.union( _box$1 );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst boundingSphere = this.boundingSphere;\n\t\tconst active = this._active;\n\n\t\tboundingSphere.makeEmpty();\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( active[ i ] === false ) continue;\n\n\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\t\t\tboundingSphere.union( _sphere$2 );\n\n\t\t}\n\n\t}\n\n\taddGeometry( geometry, vertexCount = - 1, indexCount = - 1 ) {\n\n\t\tthis._initializeGeometry( geometry );\n\n\t\tthis._validateGeometry( geometry );\n\n\t\t// ensure we're not over geometry\n\t\tif ( this._geometryCount >= this._maxGeometryCount ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Maximum geometry count reached.' );\n\n\t\t}\n\n\t\t// get the necessary range fo the geometry\n\t\tconst reservedRange = {\n\t\t\tvertexStart: - 1,\n\t\t\tvertexCount: - 1,\n\t\t\tindexStart: - 1,\n\t\t\tindexCount: - 1,\n\t\t};\n\n\t\tlet lastRange = null;\n\t\tconst reservedRanges = this._reservedRanges;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst bounds = this._bounds;\n\t\tif ( this._geometryCount !== 0 ) {\n\n\t\t\tlastRange = reservedRanges[ reservedRanges.length - 1 ];\n\n\t\t}\n\n\t\tif ( vertexCount === - 1 ) {\n\n\t\t\treservedRange.vertexCount = geometry.getAttribute( 'position' ).count;\n\n\t\t} else {\n\n\t\t\treservedRange.vertexCount = vertexCount;\n\n\t\t}\n\n\t\tif ( lastRange === null ) {\n\n\t\t\treservedRange.vertexStart = 0;\n\n\t\t} else {\n\n\t\t\treservedRange.vertexStart = lastRange.vertexStart + lastRange.vertexCount;\n\n\t\t}\n\n\t\tconst index = geometry.getIndex();\n\t\tconst hasIndex = index !== null;\n\t\tif ( hasIndex ) {\n\n\t\t\tif ( indexCount\t=== - 1 ) {\n\n\t\t\t\treservedRange.indexCount = index.count;\n\n\t\t\t} else {\n\n\t\t\t\treservedRange.indexCount = indexCount;\n\n\t\t\t}\n\n\t\t\tif ( lastRange === null ) {\n\n\t\t\t\treservedRange.indexStart = 0;\n\n\t\t\t} else {\n\n\t\t\t\treservedRange.indexStart = lastRange.indexStart + lastRange.indexCount;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif (\n\t\t\treservedRange.indexStart !== - 1 &&\n\t\t\treservedRange.indexStart + reservedRange.indexCount > this._maxIndexCount ||\n\t\t\treservedRange.vertexStart + reservedRange.vertexCount > this._maxVertexCount\n\t\t) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Reserved space request exceeds the maximum buffer size.' );\n\n\t\t}\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst matricesTexture = this._matricesTexture;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\n\t\t// push new visibility states\n\t\tvisibility.push( true );\n\t\tactive.push( true );\n\n\t\t// update id\n\t\tconst geometryId = this._geometryCount;\n\t\tthis._geometryCount ++;\n\n\t\t// initialize matrix information\n\t\t_identityMatrix.toArray( matricesArray, geometryId * 16 );\n\t\tmatricesTexture.needsUpdate = true;\n\n\t\t// add the reserved range and draw range objects\n\t\treservedRanges.push( reservedRange );\n\t\tdrawRanges.push( {\n\t\t\tstart: hasIndex ? reservedRange.indexStart : reservedRange.vertexStart,\n\t\t\tcount: - 1\n\t\t} );\n\t\tbounds.push( {\n\t\t\tboxInitialized: false,\n\t\t\tbox: new Box3(),\n\n\t\t\tsphereInitialized: false,\n\t\t\tsphere: new Sphere()\n\t\t} );\n\n\t\t// set the id for the geometry\n\t\tconst idAttribute = this.geometry.getAttribute( ID_ATTR_NAME );\n\t\tfor ( let i = 0; i < reservedRange.vertexCount; i ++ ) {\n\n\t\t\tidAttribute.setX( reservedRange.vertexStart + i, geometryId );\n\n\t\t}\n\n\t\tidAttribute.needsUpdate = true;\n\n\t\t// update the geometry\n\t\tthis.setGeometryAt( geometryId, geometry );\n\n\t\treturn geometryId;\n\n\t}\n\n\tsetGeometryAt( id, geometry ) {\n\n\t\tif ( id >= this._geometryCount ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Maximum geometry count reached.' );\n\n\t\t}\n\n\t\tthis._validateGeometry( geometry );\n\n\t\tconst batchGeometry = this.geometry;\n\t\tconst hasIndex = batchGeometry.getIndex() !== null;\n\t\tconst dstIndex = batchGeometry.getIndex();\n\t\tconst srcIndex = geometry.getIndex();\n\t\tconst reservedRange = this._reservedRanges[ id ];\n\t\tif (\n\t\t\thasIndex &&\n\t\t\tsrcIndex.count > reservedRange.indexCount ||\n\t\t\tgeometry.attributes.position.count > reservedRange.vertexCount\n\t\t) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Reserved space not large enough for provided geometry.' );\n\n\t\t}\n\n\t\t// copy geometry over\n\t\tconst vertexStart = reservedRange.vertexStart;\n\t\tconst vertexCount = reservedRange.vertexCount;\n\t\tfor ( const attributeName in batchGeometry.attributes ) {\n\n\t\t\tif ( attributeName === ID_ATTR_NAME ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\t// copy attribute data\n\t\t\tconst srcAttribute = geometry.getAttribute( attributeName );\n\t\t\tconst dstAttribute = batchGeometry.getAttribute( attributeName );\n\t\t\tcopyAttributeData( srcAttribute, dstAttribute, vertexStart );\n\n\t\t\t// fill the rest in with zeroes\n\t\t\tconst itemSize = srcAttribute.itemSize;\n\t\t\tfor ( let i = srcAttribute.count, l = vertexCount; i < l; i ++ ) {\n\n\t\t\t\tconst index = vertexStart + i;\n\t\t\t\tfor ( let c = 0; c < itemSize; c ++ ) {\n\n\t\t\t\t\tdstAttribute.setComponent( index, c, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tdstAttribute.needsUpdate = true;\n\n\t\t}\n\n\t\t// copy index\n\t\tif ( hasIndex ) {\n\n\t\t\tconst indexStart = reservedRange.indexStart;\n\n\t\t\t// copy index data over\n\t\t\tfor ( let i = 0; i < srcIndex.count; i ++ ) {\n\n\t\t\t\tdstIndex.setX( indexStart + i, vertexStart + srcIndex.getX( i ) );\n\n\t\t\t}\n\n\t\t\t// fill the rest in with zeroes\n\t\t\tfor ( let i = srcIndex.count, l = reservedRange.indexCount; i < l; i ++ ) {\n\n\t\t\t\tdstIndex.setX( indexStart + i, vertexStart );\n\n\t\t\t}\n\n\t\t\tdstIndex.needsUpdate = true;\n\n\t\t}\n\n\t\t// store the bounding boxes\n\t\tconst bound = this._bounds[ id ];\n\t\tif ( geometry.boundingBox !== null ) {\n\n\t\t\tbound.box.copy( geometry.boundingBox );\n\t\t\tbound.boxInitialized = true;\n\n\t\t} else {\n\n\t\t\tbound.boxInitialized = false;\n\n\t\t}\n\n\t\tif ( geometry.boundingSphere !== null ) {\n\n\t\t\tbound.sphere.copy( geometry.boundingSphere );\n\t\t\tbound.sphereInitialized = true;\n\n\t\t} else {\n\n\t\t\tbound.sphereInitialized = false;\n\n\t\t}\n\n\t\t// set drawRange count\n\t\tconst drawRange = this._drawRanges[ id ];\n\t\tconst posAttr = geometry.getAttribute( 'position' );\n\t\tdrawRange.count = hasIndex ? srcIndex.count : posAttr.count;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn id;\n\n\t}\n\n\tdeleteGeometry( geometryId ) {\n\n\t\t// Note: User needs to call optimize() afterward to pack the data.\n\n\t\tconst active = this._active;\n\t\tif ( geometryId >= active.length || active[ geometryId ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tactive[ geometryId ] = false;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn this;\n\n\t}\n\n\t// get bounding box and compute it if it doesn't exist\n\tgetBoundingBoxAt( id, target ) {\n\n\t\tconst active = this._active;\n\t\tif ( active[ id ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t// compute bounding box\n\t\tconst bound = this._bounds[ id ];\n\t\tconst box = bound.box;\n\t\tconst geometry = this.geometry;\n\t\tif ( bound.boxInitialized === false ) {\n\n\t\t\tbox.makeEmpty();\n\n\t\t\tconst index = geometry.index;\n\t\t\tconst position = geometry.attributes.position;\n\t\t\tconst drawRange = this._drawRanges[ id ];\n\t\t\tfor ( let i = drawRange.start, l = drawRange.start + drawRange.count; i < l; i ++ ) {\n\n\t\t\t\tlet iv = i;\n\t\t\t\tif ( index ) {\n\n\t\t\t\t\tiv = index.getX( iv );\n\n\t\t\t\t}\n\n\t\t\t\tbox.expandByPoint( _vector$5.fromBufferAttribute( position, iv ) );\n\n\t\t\t}\n\n\t\t\tbound.boxInitialized = true;\n\n\t\t}\n\n\t\ttarget.copy( box );\n\t\treturn target;\n\n\t}\n\n\t// get bounding sphere and compute it if it doesn't exist\n\tgetBoundingSphereAt( id, target ) {\n\n\t\tconst active = this._active;\n\t\tif ( active[ id ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t// compute bounding sphere\n\t\tconst bound = this._bounds[ id ];\n\t\tconst sphere = bound.sphere;\n\t\tconst geometry = this.geometry;\n\t\tif ( bound.sphereInitialized === false ) {\n\n\t\t\tsphere.makeEmpty();\n\n\t\t\tthis.getBoundingBoxAt( id, _box$1 );\n\t\t\t_box$1.getCenter( sphere.center );\n\n\t\t\tconst index = geometry.index;\n\t\t\tconst position = geometry.attributes.position;\n\t\t\tconst drawRange = this._drawRanges[ id ];\n\n\t\t\tlet maxRadiusSq = 0;\n\t\t\tfor ( let i = drawRange.start, l = drawRange.start + drawRange.count; i < l; i ++ ) {\n\n\t\t\t\tlet iv = i;\n\t\t\t\tif ( index ) {\n\n\t\t\t\t\tiv = index.getX( iv );\n\n\t\t\t\t}\n\n\t\t\t\t_vector$5.fromBufferAttribute( position, iv );\n\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, sphere.center.distanceToSquared( _vector$5 ) );\n\n\t\t\t}\n\n\t\t\tsphere.radius = Math.sqrt( maxRadiusSq );\n\t\t\tbound.sphereInitialized = true;\n\n\t\t}\n\n\t\ttarget.copy( sphere );\n\t\treturn target;\n\n\t}\n\n\tsetMatrixAt( geometryId, matrix ) {\n\n\t\t// @TODO: Map geometryId to index of the arrays because\n\t\t// optimize() can make geometryId mismatch the index\n\n\t\tconst active = this._active;\n\t\tconst matricesTexture = this._matricesTexture;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\t\tconst geometryCount = this._geometryCount;\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tmatrix.toArray( matricesArray, geometryId * 16 );\n\t\tmatricesTexture.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\tgetMatrixAt( geometryId, matrix ) {\n\n\t\tconst active = this._active;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\t\tconst geometryCount = this._geometryCount;\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn matrix.fromArray( matricesArray, geometryId * 16 );\n\n\t}\n\n\tsetVisibleAt( geometryId, value ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst geometryCount = this._geometryCount;\n\n\t\t// if the geometry is out of range, not active, or visibility state\n\t\t// does not change then return early\n\t\tif (\n\t\t\tgeometryId >= geometryCount ||\n\t\t\tactive[ geometryId ] === false ||\n\t\t\tvisibility[ geometryId ] === value\n\t\t) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tvisibility[ geometryId ] = value;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn this;\n\n\t}\n\n\tgetVisibleAt( geometryId ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst geometryCount = this._geometryCount;\n\n\t\t// return early if the geometry is out of range or not active\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn visibility[ geometryId ];\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst batchGeometry = this.geometry;\n\n\t\t// iterate over each geometry\n\t\t_mesh.material = this.material;\n\t\t_mesh.geometry.index = batchGeometry.index;\n\t\t_mesh.geometry.attributes = batchGeometry.attributes;\n\t\tif ( _mesh.geometry.boundingBox === null ) {\n\n\t\t\t_mesh.geometry.boundingBox = new Box3();\n\n\t\t}\n\n\t\tif ( _mesh.geometry.boundingSphere === null ) {\n\n\t\t\t_mesh.geometry.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( ! visibility[ i ] || ! active[ i ] ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tconst drawRange = drawRanges[ i ];\n\t\t\t_mesh.geometry.setDrawRange( drawRange.start, drawRange.count );\n\n\t\t\t// ge the intersects\n\t\t\tthis.getMatrixAt( i, _mesh.matrixWorld ).premultiply( matrixWorld );\n\t\t\tthis.getBoundingBoxAt( i, _mesh.geometry.boundingBox );\n\t\t\tthis.getBoundingSphereAt( i, _mesh.geometry.boundingSphere );\n\t\t\t_mesh.raycast( raycaster, _batchIntersects );\n\n\t\t\t// add batch id to the intersects\n\t\t\tfor ( let j = 0, l = _batchIntersects.length; j < l; j ++ ) {\n\n\t\t\t\tconst intersect = _batchIntersects[ j ];\n\t\t\t\tintersect.object = this;\n\t\t\t\tintersect.batchId = i;\n\t\t\t\tintersects.push( intersect );\n\n\t\t\t}\n\n\t\t\t_batchIntersects.length = 0;\n\n\t\t}\n\n\t\t_mesh.material = null;\n\t\t_mesh.geometry.index = null;\n\t\t_mesh.geometry.attributes = {};\n\t\t_mesh.geometry.setDrawRange( 0, Infinity );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.geometry = source.geometry.clone();\n\t\tthis.perObjectFrustumCulled = source.perObjectFrustumCulled;\n\t\tthis.sortObjects = source.sortObjects;\n\t\tthis.boundingBox = source.boundingBox !== null ? source.boundingBox.clone() : null;\n\t\tthis.boundingSphere = source.boundingSphere !== null ? source.boundingSphere.clone() : null;\n\n\t\tthis._drawRanges = source._drawRanges.map( range => ( { ...range } ) );\n\t\tthis._reservedRanges = source._reservedRanges.map( range => ( { ...range } ) );\n\n\t\tthis._visibility = source._visibility.slice();\n\t\tthis._active = source._active.slice();\n\t\tthis._bounds = source._bounds.map( bound => ( {\n\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\tbox: bound.box.clone(),\n\n\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\tsphere: bound.sphere.clone()\n\t\t} ) );\n\n\t\tthis._maxGeometryCount = source._maxGeometryCount;\n\t\tthis._maxVertexCount = source._maxVertexCount;\n\t\tthis._maxIndexCount = source._maxIndexCount;\n\n\t\tthis._geometryInitialized = source._geometryInitialized;\n\t\tthis._geometryCount = source._geometryCount;\n\t\tthis._multiDrawCounts = source._multiDrawCounts.slice();\n\t\tthis._multiDrawStarts = source._multiDrawStarts.slice();\n\n\t\tthis._matricesTexture = source._matricesTexture.clone();\n\t\tthis._matricesTexture.image.data = this._matricesTexture.image.slice();\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\t// Assuming the geometry is not shared with other meshes\n\t\tthis.geometry.dispose();\n\n\t\tthis._matricesTexture.dispose();\n\t\tthis._matricesTexture = null;\n\t\treturn this;\n\n\t}\n\n\tonBeforeRender( renderer, scene, camera, geometry, material/*, _group*/ ) {\n\n\t\t// if visibility has not changed and frustum culling and object sorting is not required\n\t\t// then skip iterating over all items\n\t\tif ( ! this._visibilityChanged && ! this.perObjectFrustumCulled && ! this.sortObjects ) {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// the indexed version of the multi draw function requires specifying the start\n\t\t// offset in bytes.\n\t\tconst index = geometry.getIndex();\n\t\tconst bytesPerElement = index === null ? 1 : index.array.BYTES_PER_ELEMENT;\n\n\t\tconst visibility = this._visibility;\n\t\tconst multiDrawStarts = this._multiDrawStarts;\n\t\tconst multiDrawCounts = this._multiDrawCounts;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst perObjectFrustumCulled = this.perObjectFrustumCulled;\n\n\t\t// prepare the frustum in the local frame\n\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t_projScreenMatrix$2\n\t\t\t\t.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse )\n\t\t\t\t.multiply( this.matrixWorld );\n\t\t\t_frustum.setFromProjectionMatrix(\n\t\t\t\t_projScreenMatrix$2,\n\t\t\t\trenderer.isWebGPURenderer ? WebGPUCoordinateSystem : WebGLCoordinateSystem\n\t\t\t);\n\n\t\t}\n\n\t\tlet count = 0;\n\t\tif ( this.sortObjects ) {\n\n\t\t\t// get the camera position in the local frame\n\t\t\t_invMatrixWorld.copy( this.matrixWorld ).invert();\n\t\t\t_vector$5.setFromMatrixPosition( camera.matrixWorld ).applyMatrix4( _invMatrixWorld );\n\n\t\t\tfor ( let i = 0, l = visibility.length; i < l; i ++ ) {\n\n\t\t\t\tif ( visibility[ i ] ) {\n\n\t\t\t\t\t// get the bounds in world space\n\t\t\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\n\t\t\t\t\t// determine whether the batched geometry is within the frustum\n\t\t\t\t\tlet culled = false;\n\t\t\t\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t\t\t\tculled = ! _frustum.intersectsSphere( _sphere$2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! culled ) {\n\n\t\t\t\t\t\t// get the distance from camera used for sorting\n\t\t\t\t\t\tconst z = _vector$5.distanceTo( _sphere$2.center );\n\t\t\t\t\t\t_renderList.push( drawRanges[ i ], z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Sort the draw ranges and prep for rendering\n\t\t\tconst list = _renderList.list;\n\t\t\tconst customSort = this.customSort;\n\t\t\tif ( customSort === null ) {\n\n\t\t\t\tlist.sort( material.transparent ? sortTransparent : sortOpaque );\n\n\t\t\t} else {\n\n\t\t\t\tcustomSort.call( this, list, camera );\n\n\t\t\t}\n\n\t\t\tfor ( let i = 0, l = list.length; i < l; i ++ ) {\n\n\t\t\t\tconst item = list[ i ];\n\t\t\t\tmultiDrawStarts[ count ] = item.start * bytesPerElement;\n\t\t\t\tmultiDrawCounts[ count ] = item.count;\n\t\t\t\tcount ++;\n\n\t\t\t}\n\n\t\t\t_renderList.reset();\n\n\t\t} else {\n\n\t\t\tfor ( let i = 0, l = visibility.length; i < l; i ++ ) {\n\n\t\t\t\tif ( visibility[ i ] ) {\n\n\t\t\t\t\t// determine whether the batched geometry is within the frustum\n\t\t\t\t\tlet culled = false;\n\t\t\t\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t\t\t\t// get the bounds in world space\n\t\t\t\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\t\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\t\t\t\t\t\tculled = ! _frustum.intersectsSphere( _sphere$2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! culled ) {\n\n\t\t\t\t\t\tconst range = drawRanges[ i ];\n\t\t\t\t\t\tmultiDrawStarts[ count ] = range.start * bytesPerElement;\n\t\t\t\t\t\tmultiDrawCounts[ count ] = range.count;\n\t\t\t\t\t\tcount ++;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._multiDrawCount = count;\n\t\tthis._visibilityChanged = false;\n\n\t}\n\n\tonBeforeShadow( renderer, object, camera, shadowCamera, geometry, depthMaterial/* , group */ ) {\n\n\t\tthis.onBeforeRender( renderer, null, shadowCamera, geometry, depthMaterial );\n\n\t}\n\n}\n\nclass LineBasicMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isLineBasicMaterial = true;\n\n\t\tthis.type = 'LineBasicMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.linewidth = 1;\n\t\tthis.linecap = 'round';\n\t\tthis.linejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.linewidth = source.linewidth;\n\t\tthis.linecap = source.linecap;\n\t\tthis.linejoin = source.linejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _start$1 = /*@__PURE__*/ new Vector3();\nconst _end$1 = /*@__PURE__*/ new Vector3();\nconst _inverseMatrix$1 = /*@__PURE__*/ new Matrix4();\nconst _ray$1 = /*@__PURE__*/ new Ray();\nconst _sphere$1 = /*@__PURE__*/ new Sphere();\n\nclass Line extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new LineBasicMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isLine = true;\n\n\t\tthis.type = 'Line';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\tcomputeLineDistances() {\n\n\t\tconst geometry = this.geometry;\n\n\t\t// we assume non-indexed geometry\n\n\t\tif ( geometry.index === null ) {\n\n\t\t\tconst positionAttribute = geometry.attributes.position;\n\t\t\tconst lineDistances = [ 0 ];\n\n\t\t\tfor ( let i = 1, l = positionAttribute.count; i < l; i ++ ) {\n\n\t\t\t\t_start$1.fromBufferAttribute( positionAttribute, i - 1 );\n\t\t\t\t_end$1.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\tlineDistances[ i ] = lineDistances[ i - 1 ];\n\t\t\t\tlineDistances[ i ] += _start$1.distanceTo( _end$1 );\n\n\t\t\t}\n\n\t\t\tgeometry.setAttribute( 'lineDistance', new Float32BufferAttribute( lineDistances, 1 ) );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.' );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst threshold = raycaster.params.Line.threshold;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\t// Checking boundingSphere distance to ray\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere$1.copy( geometry.boundingSphere );\n\t\t_sphere$1.applyMatrix4( matrixWorld );\n\t\t_sphere$1.radius += threshold;\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$1 ) === false ) return;\n\n\t\t//\n\n\t\t_inverseMatrix$1.copy( matrixWorld ).invert();\n\t\t_ray$1.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$1 );\n\n\t\tconst localThreshold = threshold / ( ( this.scale.x + this.scale.y + this.scale.z ) / 3 );\n\t\tconst localThresholdSq = localThreshold * localThreshold;\n\n\t\tconst vStart = new Vector3();\n\t\tconst vEnd = new Vector3();\n\t\tconst interSegment = new Vector3();\n\t\tconst interRay = new Vector3();\n\t\tconst step = this.isLineSegments ? 2 : 1;\n\n\t\tconst index = geometry.index;\n\t\tconst attributes = geometry.attributes;\n\t\tconst positionAttribute = attributes.position;\n\n\t\tif ( index !== null ) {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end - 1; i < l; i += step ) {\n\n\t\t\t\tconst a = index.getX( i );\n\t\t\t\tconst b = index.getX( i + 1 );\n\n\t\t\t\tvStart.fromBufferAttribute( positionAttribute, a );\n\t\t\t\tvEnd.fromBufferAttribute( positionAttribute, b );\n\n\t\t\t\tconst distSq = _ray$1.distanceSqToSegment( vStart, vEnd, interRay, interSegment );\n\n\t\t\t\tif ( distSq > localThresholdSq ) continue;\n\n\t\t\t\tinterRay.applyMatrix4( this.matrixWorld ); //Move back to world space for distance calculation\n\n\t\t\t\tconst distance = raycaster.ray.origin.distanceTo( interRay );\n\n\t\t\t\tif ( distance < raycaster.near || distance > raycaster.far ) continue;\n\n\t\t\t\tintersects.push( {\n\n\t\t\t\t\tdistance: distance,\n\t\t\t\t\t// What do we want? intersection point on the ray or on the segment??\n\t\t\t\t\t// point: raycaster.ray.at( distance ),\n\t\t\t\t\tpoint: interSegment.clone().applyMatrix4( this.matrixWorld ),\n\t\t\t\t\tindex: i,\n\t\t\t\t\tface: null,\n\t\t\t\t\tfaceIndex: null,\n\t\t\t\t\tobject: this\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( positionAttribute.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end - 1; i < l; i += step ) {\n\n\t\t\t\tvStart.fromBufferAttribute( positionAttribute, i );\n\t\t\t\tvEnd.fromBufferAttribute( positionAttribute, i + 1 );\n\n\t\t\t\tconst distSq = _ray$1.distanceSqToSegment( vStart, vEnd, interRay, interSegment );\n\n\t\t\t\tif ( distSq > localThresholdSq ) continue;\n\n\t\t\t\tinterRay.applyMatrix4( this.matrixWorld ); //Move back to world space for distance calculation\n\n\t\t\t\tconst distance = raycaster.ray.origin.distanceTo( interRay );\n\n\t\t\t\tif ( distance < raycaster.near || distance > raycaster.far ) continue;\n\n\t\t\t\tintersects.push( {\n\n\t\t\t\t\tdistance: distance,\n\t\t\t\t\t// What do we want? intersection point on the ray or on the segment??\n\t\t\t\t\t// point: raycaster.ray.at( distance ),\n\t\t\t\t\tpoint: interSegment.clone().applyMatrix4( this.matrixWorld ),\n\t\t\t\t\tindex: i,\n\t\t\t\t\tface: null,\n\t\t\t\t\tfaceIndex: null,\n\t\t\t\t\tobject: this\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nconst _start = /*@__PURE__*/ new Vector3();\nconst _end = /*@__PURE__*/ new Vector3();\n\nclass LineSegments extends Line {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isLineSegments = true;\n\n\t\tthis.type = 'LineSegments';\n\n\t}\n\n\tcomputeLineDistances() {\n\n\t\tconst geometry = this.geometry;\n\n\t\t// we assume non-indexed geometry\n\n\t\tif ( geometry.index === null ) {\n\n\t\t\tconst positionAttribute = geometry.attributes.position;\n\t\t\tconst lineDistances = [];\n\n\t\t\tfor ( let i = 0, l = positionAttribute.count; i < l; i += 2 ) {\n\n\t\t\t\t_start.fromBufferAttribute( positionAttribute, i );\n\t\t\t\t_end.fromBufferAttribute( positionAttribute, i + 1 );\n\n\t\t\t\tlineDistances[ i ] = ( i === 0 ) ? 0 : lineDistances[ i - 1 ];\n\t\t\t\tlineDistances[ i + 1 ] = lineDistances[ i ] + _start.distanceTo( _end );\n\n\t\t\t}\n\n\t\t\tgeometry.setAttribute( 'lineDistance', new Float32BufferAttribute( lineDistances, 1 ) );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.' );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineLoop extends Line {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isLineLoop = true;\n\n\t\tthis.type = 'LineLoop';\n\n\t}\n\n}\n\nclass PointsMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isPointsMaterial = true;\n\n\t\tthis.type = 'PointsMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.size = 1;\n\t\tthis.sizeAttenuation = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.size = source.size;\n\t\tthis.sizeAttenuation = source.sizeAttenuation;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _inverseMatrix = /*@__PURE__*/ new Matrix4();\nconst _ray = /*@__PURE__*/ new Ray();\nconst _sphere = /*@__PURE__*/ new Sphere();\nconst _position$2 = /*@__PURE__*/ new Vector3();\n\nclass Points extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new PointsMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isPoints = true;\n\n\t\tthis.type = 'Points';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst threshold = raycaster.params.Points.threshold;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\t// Checking boundingSphere distance to ray\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere.copy( geometry.boundingSphere );\n\t\t_sphere.applyMatrix4( matrixWorld );\n\t\t_sphere.radius += threshold;\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere ) === false ) return;\n\n\t\t//\n\n\t\t_inverseMatrix.copy( matrixWorld ).invert();\n\t\t_ray.copy( raycaster.ray ).applyMatrix4( _inverseMatrix );\n\n\t\tconst localThreshold = threshold / ( ( this.scale.x + this.scale.y + this.scale.z ) / 3 );\n\t\tconst localThresholdSq = localThreshold * localThreshold;\n\n\t\tconst index = geometry.index;\n\t\tconst attributes = geometry.attributes;\n\t\tconst positionAttribute = attributes.position;\n\n\t\tif ( index !== null ) {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, il = end; i < il; i ++ ) {\n\n\t\t\t\tconst a = index.getX( i );\n\n\t\t\t\t_position$2.fromBufferAttribute( positionAttribute, a );\n\n\t\t\t\ttestPoint( _position$2, a, localThresholdSq, matrixWorld, raycaster, intersects, this );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( positionAttribute.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end; i < l; i ++ ) {\n\n\t\t\t\t_position$2.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\ttestPoint( _position$2, i, localThresholdSq, matrixWorld, raycaster, intersects, this );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction testPoint( point, index, localThresholdSq, matrixWorld, raycaster, intersects, object ) {\n\n\tconst rayPointDistanceSq = _ray.distanceSqToPoint( point );\n\n\tif ( rayPointDistanceSq < localThresholdSq ) {\n\n\t\tconst intersectPoint = new Vector3();\n\n\t\t_ray.closestPointToPoint( point, intersectPoint );\n\t\tintersectPoint.applyMatrix4( matrixWorld );\n\n\t\tconst distance = raycaster.ray.origin.distanceTo( intersectPoint );\n\n\t\tif ( distance < raycaster.near || distance > raycaster.far ) return;\n\n\t\tintersects.push( {\n\n\t\t\tdistance: distance,\n\t\t\tdistanceToRay: Math.sqrt( rayPointDistanceSq ),\n\t\t\tpoint: intersectPoint,\n\t\t\tindex: index,\n\t\t\tface: null,\n\t\t\tobject: object\n\n\t\t} );\n\n\t}\n\n}\n\nclass VideoTexture extends Texture {\n\n\tconstructor( video, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy ) {\n\n\t\tsuper( video, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isVideoTexture = true;\n\n\t\tthis.minFilter = minFilter !== undefined ? minFilter : LinearFilter;\n\t\tthis.magFilter = magFilter !== undefined ? magFilter : LinearFilter;\n\n\t\tthis.generateMipmaps = false;\n\n\t\tconst scope = this;\n\n\t\tfunction updateVideo() {\n\n\t\t\tscope.needsUpdate = true;\n\t\t\tvideo.requestVideoFrameCallback( updateVideo );\n\n\t\t}\n\n\t\tif ( 'requestVideoFrameCallback' in video ) {\n\n\t\t\tvideo.requestVideoFrameCallback( updateVideo );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.image ).copy( this );\n\n\t}\n\n\tupdate() {\n\n\t\tconst video = this.image;\n\t\tconst hasVideoFrameCallback = 'requestVideoFrameCallback' in video;\n\n\t\tif ( hasVideoFrameCallback === false && video.readyState >= video.HAVE_CURRENT_DATA ) {\n\n\t\t\tthis.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n}\n\nclass FramebufferTexture extends Texture {\n\n\tconstructor( width, height ) {\n\n\t\tsuper( { width, height } );\n\n\t\tthis.isFramebufferTexture = true;\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.generateMipmaps = false;\n\n\t\tthis.needsUpdate = true;\n\n\t}\n\n}\n\nclass CompressedTexture extends Texture {\n\n\tconstructor( mipmaps, width, height, format, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, colorSpace ) {\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isCompressedTexture = true;\n\n\t\tthis.image = { width: width, height: height };\n\t\tthis.mipmaps = mipmaps;\n\n\t\t// no flipping for cube textures\n\t\t// (also flipping doesn't work for compressed textures )\n\n\t\tthis.flipY = false;\n\n\t\t// can't generate mipmaps for compressed textures\n\t\t// mips must be embedded in DDS files\n\n\t\tthis.generateMipmaps = false;\n\n\t}\n\n}\n\nclass CompressedArrayTexture extends CompressedTexture {\n\n\tconstructor( mipmaps, width, height, depth, format, type ) {\n\n\t\tsuper( mipmaps, width, height, format, type );\n\n\t\tthis.isCompressedArrayTexture = true;\n\t\tthis.image.depth = depth;\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t}\n\n}\n\nclass CompressedCubeTexture extends CompressedTexture {\n\n\tconstructor( images, format, type ) {\n\n\t\tsuper( undefined, images[ 0 ].width, images[ 0 ].height, format, type, CubeReflectionMapping );\n\n\t\tthis.isCompressedCubeTexture = true;\n\t\tthis.isCubeTexture = true;\n\n\t\tthis.image = images;\n\n\t}\n\n}\n\nclass CanvasTexture extends Texture {\n\n\tconstructor( canvas, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy ) {\n\n\t\tsuper( canvas, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isCanvasTexture = true;\n\n\t\tthis.needsUpdate = true;\n\n\t}\n\n}\n\n/**\n * Extensible curve object.\n *\n * Some common of curve methods:\n * .getPoint( t, optionalTarget ), .getTangent( t, optionalTarget )\n * .getPointAt( u, optionalTarget ), .getTangentAt( u, optionalTarget )\n * .getPoints(), .getSpacedPoints()\n * .getLength()\n * .updateArcLengths()\n *\n * This following curves inherit from THREE.Curve:\n *\n * -- 2D curves --\n * THREE.ArcCurve\n * THREE.CubicBezierCurve\n * THREE.EllipseCurve\n * THREE.LineCurve\n * THREE.QuadraticBezierCurve\n * THREE.SplineCurve\n *\n * -- 3D curves --\n * THREE.CatmullRomCurve3\n * THREE.CubicBezierCurve3\n * THREE.LineCurve3\n * THREE.QuadraticBezierCurve3\n *\n * A series of curves can be represented as a THREE.CurvePath.\n *\n **/\n\nclass Curve {\n\n\tconstructor() {\n\n\t\tthis.type = 'Curve';\n\n\t\tthis.arcLengthDivisions = 200;\n\n\t}\n\n\t// Virtual base class method to overwrite and implement in subclasses\n\t//\t- t [0 .. 1]\n\n\tgetPoint( /* t, optionalTarget */ ) {\n\n\t\tconsole.warn( 'THREE.Curve: .getPoint() not implemented.' );\n\t\treturn null;\n\n\t}\n\n\t// Get point at relative position in curve according to arc length\n\t// - u [0 .. 1]\n\n\tgetPointAt( u, optionalTarget ) {\n\n\t\tconst t = this.getUtoTmapping( u );\n\t\treturn this.getPoint( t, optionalTarget );\n\n\t}\n\n\t// Get sequence of points using getPoint( t )\n\n\tgetPoints( divisions = 5 ) {\n\n\t\tconst points = [];\n\n\t\tfor ( let d = 0; d <= divisions; d ++ ) {\n\n\t\t\tpoints.push( this.getPoint( d / divisions ) );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\t// Get sequence of points using getPointAt( u )\n\n\tgetSpacedPoints( divisions = 5 ) {\n\n\t\tconst points = [];\n\n\t\tfor ( let d = 0; d <= divisions; d ++ ) {\n\n\t\t\tpoints.push( this.getPointAt( d / divisions ) );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\t// Get total curve arc length\n\n\tgetLength() {\n\n\t\tconst lengths = this.getLengths();\n\t\treturn lengths[ lengths.length - 1 ];\n\n\t}\n\n\t// Get list of cumulative segment lengths\n\n\tgetLengths( divisions = this.arcLengthDivisions ) {\n\n\t\tif ( this.cacheArcLengths &&\n\t\t\t( this.cacheArcLengths.length === divisions + 1 ) &&\n\t\t\t! this.needsUpdate ) {\n\n\t\t\treturn this.cacheArcLengths;\n\n\t\t}\n\n\t\tthis.needsUpdate = false;\n\n\t\tconst cache = [];\n\t\tlet current, last = this.getPoint( 0 );\n\t\tlet sum = 0;\n\n\t\tcache.push( 0 );\n\n\t\tfor ( let p = 1; p <= divisions; p ++ ) {\n\n\t\t\tcurrent = this.getPoint( p / divisions );\n\t\t\tsum += current.distanceTo( last );\n\t\t\tcache.push( sum );\n\t\t\tlast = current;\n\n\t\t}\n\n\t\tthis.cacheArcLengths = cache;\n\n\t\treturn cache; // { sums: cache, sum: sum }; Sum is in the last element.\n\n\t}\n\n\tupdateArcLengths() {\n\n\t\tthis.needsUpdate = true;\n\t\tthis.getLengths();\n\n\t}\n\n\t// Given u ( 0 .. 1 ), get a t to find p. This gives you points which are equidistant\n\n\tgetUtoTmapping( u, distance ) {\n\n\t\tconst arcLengths = this.getLengths();\n\n\t\tlet i = 0;\n\t\tconst il = arcLengths.length;\n\n\t\tlet targetArcLength; // The targeted u distance value to get\n\n\t\tif ( distance ) {\n\n\t\t\ttargetArcLength = distance;\n\n\t\t} else {\n\n\t\t\ttargetArcLength = u * arcLengths[ il - 1 ];\n\n\t\t}\n\n\t\t// binary search for the index with largest value smaller than target u distance\n\n\t\tlet low = 0, high = il - 1, comparison;\n\n\t\twhile ( low <= high ) {\n\n\t\t\ti = Math.floor( low + ( high - low ) / 2 ); // less likely to overflow, though probably not issue here, JS doesn't really have integers, all numbers are floats\n\n\t\t\tcomparison = arcLengths[ i ] - targetArcLength;\n\n\t\t\tif ( comparison < 0 ) {\n\n\t\t\t\tlow = i + 1;\n\n\t\t\t} else if ( comparison > 0 ) {\n\n\t\t\t\thigh = i - 1;\n\n\t\t\t} else {\n\n\t\t\t\thigh = i;\n\t\t\t\tbreak;\n\n\t\t\t\t// DONE\n\n\t\t\t}\n\n\t\t}\n\n\t\ti = high;\n\n\t\tif ( arcLengths[ i ] === targetArcLength ) {\n\n\t\t\treturn i / ( il - 1 );\n\n\t\t}\n\n\t\t// we could get finer grain at lengths, or use simple interpolation between two points\n\n\t\tconst lengthBefore = arcLengths[ i ];\n\t\tconst lengthAfter = arcLengths[ i + 1 ];\n\n\t\tconst segmentLength = lengthAfter - lengthBefore;\n\n\t\t// determine where we are between the 'before' and 'after' points\n\n\t\tconst segmentFraction = ( targetArcLength - lengthBefore ) / segmentLength;\n\n\t\t// add that fractional amount to t\n\n\t\tconst t = ( i + segmentFraction ) / ( il - 1 );\n\n\t\treturn t;\n\n\t}\n\n\t// Returns a unit vector tangent at t\n\t// In case any sub curve does not implement its tangent derivation,\n\t// 2 points a small delta apart will be used to find its gradient\n\t// which seems to give a reasonable approximation\n\n\tgetTangent( t, optionalTarget ) {\n\n\t\tconst delta = 0.0001;\n\t\tlet t1 = t - delta;\n\t\tlet t2 = t + delta;\n\n\t\t// Capping in case of danger\n\n\t\tif ( t1 < 0 ) t1 = 0;\n\t\tif ( t2 > 1 ) t2 = 1;\n\n\t\tconst pt1 = this.getPoint( t1 );\n\t\tconst pt2 = this.getPoint( t2 );\n\n\t\tconst tangent = optionalTarget || ( ( pt1.isVector2 ) ? new Vector2() : new Vector3() );\n\n\t\ttangent.copy( pt2 ).sub( pt1 ).normalize();\n\n\t\treturn tangent;\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\tconst t = this.getUtoTmapping( u );\n\t\treturn this.getTangent( t, optionalTarget );\n\n\t}\n\n\tcomputeFrenetFrames( segments, closed ) {\n\n\t\t// see http://www.cs.indiana.edu/pub/techreports/TR425.pdf\n\n\t\tconst normal = new Vector3();\n\n\t\tconst tangents = [];\n\t\tconst normals = [];\n\t\tconst binormals = [];\n\n\t\tconst vec = new Vector3();\n\t\tconst mat = new Matrix4();\n\n\t\t// compute the tangent vectors for each segment on the curve\n\n\t\tfor ( let i = 0; i <= segments; i ++ ) {\n\n\t\t\tconst u = i / segments;\n\n\t\t\ttangents[ i ] = this.getTangentAt( u, new Vector3() );\n\n\t\t}\n\n\t\t// select an initial normal vector perpendicular to the first tangent vector,\n\t\t// and in the direction of the minimum tangent xyz component\n\n\t\tnormals[ 0 ] = new Vector3();\n\t\tbinormals[ 0 ] = new Vector3();\n\t\tlet min = Number.MAX_VALUE;\n\t\tconst tx = Math.abs( tangents[ 0 ].x );\n\t\tconst ty = Math.abs( tangents[ 0 ].y );\n\t\tconst tz = Math.abs( tangents[ 0 ].z );\n\n\t\tif ( tx <= min ) {\n\n\t\t\tmin = tx;\n\t\t\tnormal.set( 1, 0, 0 );\n\n\t\t}\n\n\t\tif ( ty <= min ) {\n\n\t\t\tmin = ty;\n\t\t\tnormal.set( 0, 1, 0 );\n\n\t\t}\n\n\t\tif ( tz <= min ) {\n\n\t\t\tnormal.set( 0, 0, 1 );\n\n\t\t}\n\n\t\tvec.crossVectors( tangents[ 0 ], normal ).normalize();\n\n\t\tnormals[ 0 ].crossVectors( tangents[ 0 ], vec );\n\t\tbinormals[ 0 ].crossVectors( tangents[ 0 ], normals[ 0 ] );\n\n\n\t\t// compute the slowly-varying normal and binormal vectors for each segment on the curve\n\n\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\tnormals[ i ] = normals[ i - 1 ].clone();\n\n\t\t\tbinormals[ i ] = binormals[ i - 1 ].clone();\n\n\t\t\tvec.crossVectors( tangents[ i - 1 ], tangents[ i ] );\n\n\t\t\tif ( vec.length() > Number.EPSILON ) {\n\n\t\t\t\tvec.normalize();\n\n\t\t\t\tconst theta = Math.acos( clamp( tangents[ i - 1 ].dot( tangents[ i ] ), - 1, 1 ) ); // clamp for floating pt errors\n\n\t\t\t\tnormals[ i ].applyMatrix4( mat.makeRotationAxis( vec, theta ) );\n\n\t\t\t}\n\n\t\t\tbinormals[ i ].crossVectors( tangents[ i ], normals[ i ] );\n\n\t\t}\n\n\t\t// if the curve is closed, postprocess the vectors so the first and last normal vectors are the same\n\n\t\tif ( closed === true ) {\n\n\t\t\tlet theta = Math.acos( clamp( normals[ 0 ].dot( normals[ segments ] ), - 1, 1 ) );\n\t\t\ttheta /= segments;\n\n\t\t\tif ( tangents[ 0 ].dot( vec.crossVectors( normals[ 0 ], normals[ segments ] ) ) > 0 ) {\n\n\t\t\t\ttheta = - theta;\n\n\t\t\t}\n\n\t\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\t\t// twist a little...\n\t\t\t\tnormals[ i ].applyMatrix4( mat.makeRotationAxis( tangents[ i ], theta * i ) );\n\t\t\t\tbinormals[ i ].crossVectors( tangents[ i ], normals[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn {\n\t\t\ttangents: tangents,\n\t\t\tnormals: normals,\n\t\t\tbinormals: binormals\n\t\t};\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.arcLengthDivisions = source.arcLengthDivisions;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Curve',\n\t\t\t\tgenerator: 'Curve.toJSON'\n\t\t\t}\n\t\t};\n\n\t\tdata.arcLengthDivisions = this.arcLengthDivisions;\n\t\tdata.type = this.type;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tthis.arcLengthDivisions = json.arcLengthDivisions;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass EllipseCurve extends Curve {\n\n\tconstructor( aX = 0, aY = 0, xRadius = 1, yRadius = 1, aStartAngle = 0, aEndAngle = Math.PI * 2, aClockwise = false, aRotation = 0 ) {\n\n\t\tsuper();\n\n\t\tthis.isEllipseCurve = true;\n\n\t\tthis.type = 'EllipseCurve';\n\n\t\tthis.aX = aX;\n\t\tthis.aY = aY;\n\n\t\tthis.xRadius = xRadius;\n\t\tthis.yRadius = yRadius;\n\n\t\tthis.aStartAngle = aStartAngle;\n\t\tthis.aEndAngle = aEndAngle;\n\n\t\tthis.aClockwise = aClockwise;\n\n\t\tthis.aRotation = aRotation;\n\n\t}\n\n\tgetPoint( t, optionalTarget ) {\n\n\t\tconst point = optionalTarget || new Vector2();\n\n\t\tconst twoPi = Math.PI * 2;\n\t\tlet deltaAngle = this.aEndAngle - this.aStartAngle;\n\t\tconst samePoints = Math.abs( deltaAngle ) < Number.EPSILON;\n\n\t\t// ensures that deltaAngle is 0 .. 2 PI\n\t\twhile ( deltaAngle < 0 ) deltaAngle += twoPi;\n\t\twhile ( deltaAngle > twoPi ) deltaAngle -= twoPi;\n\n\t\tif ( deltaAngle < Number.EPSILON ) {\n\n\t\t\tif ( samePoints ) {\n\n\t\t\t\tdeltaAngle = 0;\n\n\t\t\t} else {\n\n\t\t\t\tdeltaAngle = twoPi;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.aClockwise === true && ! samePoints ) {\n\n\t\t\tif ( deltaAngle === twoPi ) {\n\n\t\t\t\tdeltaAngle = - twoPi;\n\n\t\t\t} else {\n\n\t\t\t\tdeltaAngle = deltaAngle - twoPi;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst angle = this.aStartAngle + t * deltaAngle;\n\t\tlet x = this.aX + this.xRadius * Math.cos( angle );\n\t\tlet y = this.aY + this.yRadius * Math.sin( angle );\n\n\t\tif ( this.aRotation !== 0 ) {\n\n\t\t\tconst cos = Math.cos( this.aRotation );\n\t\t\tconst sin = Math.sin( this.aRotation );\n\n\t\t\tconst tx = x - this.aX;\n\t\t\tconst ty = y - this.aY;\n\n\t\t\t// Rotate the point about the center of the ellipse.\n\t\t\tx = tx * cos - ty * sin + this.aX;\n\t\t\ty = tx * sin + ty * cos + this.aY;\n\n\t\t}\n\n\t\treturn point.set( x, y );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.aX = source.aX;\n\t\tthis.aY = source.aY;\n\n\t\tthis.xRadius = source.xRadius;\n\t\tthis.yRadius = source.yRadius;\n\n\t\tthis.aStartAngle = source.aStartAngle;\n\t\tthis.aEndAngle = source.aEndAngle;\n\n\t\tthis.aClockwise = source.aClockwise;\n\n\t\tthis.aRotation = source.aRotation;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.aX = this.aX;\n\t\tdata.aY = this.aY;\n\n\t\tdata.xRadius = this.xRadius;\n\t\tdata.yRadius = this.yRadius;\n\n\t\tdata.aStartAngle = this.aStartAngle;\n\t\tdata.aEndAngle = this.aEndAngle;\n\n\t\tdata.aClockwise = this.aClockwise;\n\n\t\tdata.aRotation = this.aRotation;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.aX = json.aX;\n\t\tthis.aY = json.aY;\n\n\t\tthis.xRadius = json.xRadius;\n\t\tthis.yRadius = json.yRadius;\n\n\t\tthis.aStartAngle = json.aStartAngle;\n\t\tthis.aEndAngle = json.aEndAngle;\n\n\t\tthis.aClockwise = json.aClockwise;\n\n\t\tthis.aRotation = json.aRotation;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass ArcCurve extends EllipseCurve {\n\n\tconstructor( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tsuper( aX, aY, aRadius, aRadius, aStartAngle, aEndAngle, aClockwise );\n\n\t\tthis.isArcCurve = true;\n\n\t\tthis.type = 'ArcCurve';\n\n\t}\n\n}\n\n/**\n * Centripetal CatmullRom Curve - which is useful for avoiding\n * cusps and self-intersections in non-uniform catmull rom curves.\n * http://www.cemyuksel.com/research/catmullrom_param/catmullrom.pdf\n *\n * curve.type accepts centripetal(default), chordal and catmullrom\n * curve.tension is used for catmullrom which defaults to 0.5\n */\n\n\n/*\nBased on an optimized c++ solution in\n - http://stackoverflow.com/questions/9489736/catmull-rom-curve-with-no-cusps-and-no-self-intersections/\n - http://ideone.com/NoEbVM\n\nThis CubicPoly class could be used for reusing some variables and calculations,\nbut for three.js curve use, it could be possible inlined and flatten into a single function call\nwhich can be placed in CurveUtils.\n*/\n\nfunction CubicPoly() {\n\n\tlet c0 = 0, c1 = 0, c2 = 0, c3 = 0;\n\n\t/*\n\t * Compute coefficients for a cubic polynomial\n\t * p(s) = c0 + c1*s + c2*s^2 + c3*s^3\n\t * such that\n\t * p(0) = x0, p(1) = x1\n\t * and\n\t * p'(0) = t0, p'(1) = t1.\n\t */\n\tfunction init( x0, x1, t0, t1 ) {\n\n\t\tc0 = x0;\n\t\tc1 = t0;\n\t\tc2 = - 3 * x0 + 3 * x1 - 2 * t0 - t1;\n\t\tc3 = 2 * x0 - 2 * x1 + t0 + t1;\n\n\t}\n\n\treturn {\n\n\t\tinitCatmullRom: function ( x0, x1, x2, x3, tension ) {\n\n\t\t\tinit( x1, x2, tension * ( x2 - x0 ), tension * ( x3 - x1 ) );\n\n\t\t},\n\n\t\tinitNonuniformCatmullRom: function ( x0, x1, x2, x3, dt0, dt1, dt2 ) {\n\n\t\t\t// compute tangents when parameterized in [t1,t2]\n\t\t\tlet t1 = ( x1 - x0 ) / dt0 - ( x2 - x0 ) / ( dt0 + dt1 ) + ( x2 - x1 ) / dt1;\n\t\t\tlet t2 = ( x2 - x1 ) / dt1 - ( x3 - x1 ) / ( dt1 + dt2 ) + ( x3 - x2 ) / dt2;\n\n\t\t\t// rescale tangents for parametrization in [0,1]\n\t\t\tt1 *= dt1;\n\t\t\tt2 *= dt1;\n\n\t\t\tinit( x1, x2, t1, t2 );\n\n\t\t},\n\n\t\tcalc: function ( t ) {\n\n\t\t\tconst t2 = t * t;\n\t\t\tconst t3 = t2 * t;\n\t\t\treturn c0 + c1 * t + c2 * t2 + c3 * t3;\n\n\t\t}\n\n\t};\n\n}\n\n//\n\nconst tmp = /*@__PURE__*/ new Vector3();\nconst px = /*@__PURE__*/ new CubicPoly();\nconst py = /*@__PURE__*/ new CubicPoly();\nconst pz = /*@__PURE__*/ new CubicPoly();\n\nclass CatmullRomCurve3 extends Curve {\n\n\tconstructor( points = [], closed = false, curveType = 'centripetal', tension = 0.5 ) {\n\n\t\tsuper();\n\n\t\tthis.isCatmullRomCurve3 = true;\n\n\t\tthis.type = 'CatmullRomCurve3';\n\n\t\tthis.points = points;\n\t\tthis.closed = closed;\n\t\tthis.curveType = curveType;\n\t\tthis.tension = tension;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst points = this.points;\n\t\tconst l = points.length;\n\n\t\tconst p = ( l - ( this.closed ? 0 : 1 ) ) * t;\n\t\tlet intPoint = Math.floor( p );\n\t\tlet weight = p - intPoint;\n\n\t\tif ( this.closed ) {\n\n\t\t\tintPoint += intPoint > 0 ? 0 : ( Math.floor( Math.abs( intPoint ) / l ) + 1 ) * l;\n\n\t\t} else if ( weight === 0 && intPoint === l - 1 ) {\n\n\t\t\tintPoint = l - 2;\n\t\t\tweight = 1;\n\n\t\t}\n\n\t\tlet p0, p3; // 4 points (p1 & p2 defined below)\n\n\t\tif ( this.closed || intPoint > 0 ) {\n\n\t\t\tp0 = points[ ( intPoint - 1 ) % l ];\n\n\t\t} else {\n\n\t\t\t// extrapolate first point\n\t\t\ttmp.subVectors( points[ 0 ], points[ 1 ] ).add( points[ 0 ] );\n\t\t\tp0 = tmp;\n\n\t\t}\n\n\t\tconst p1 = points[ intPoint % l ];\n\t\tconst p2 = points[ ( intPoint + 1 ) % l ];\n\n\t\tif ( this.closed || intPoint + 2 < l ) {\n\n\t\t\tp3 = points[ ( intPoint + 2 ) % l ];\n\n\t\t} else {\n\n\t\t\t// extrapolate last point\n\t\t\ttmp.subVectors( points[ l - 1 ], points[ l - 2 ] ).add( points[ l - 1 ] );\n\t\t\tp3 = tmp;\n\n\t\t}\n\n\t\tif ( this.curveType === 'centripetal' || this.curveType === 'chordal' ) {\n\n\t\t\t// init Centripetal / Chordal Catmull-Rom\n\t\t\tconst pow = this.curveType === 'chordal' ? 0.5 : 0.25;\n\t\t\tlet dt0 = Math.pow( p0.distanceToSquared( p1 ), pow );\n\t\t\tlet dt1 = Math.pow( p1.distanceToSquared( p2 ), pow );\n\t\t\tlet dt2 = Math.pow( p2.distanceToSquared( p3 ), pow );\n\n\t\t\t// safety check for repeated points\n\t\t\tif ( dt1 < 1e-4 ) dt1 = 1.0;\n\t\t\tif ( dt0 < 1e-4 ) dt0 = dt1;\n\t\t\tif ( dt2 < 1e-4 ) dt2 = dt1;\n\n\t\t\tpx.initNonuniformCatmullRom( p0.x, p1.x, p2.x, p3.x, dt0, dt1, dt2 );\n\t\t\tpy.initNonuniformCatmullRom( p0.y, p1.y, p2.y, p3.y, dt0, dt1, dt2 );\n\t\t\tpz.initNonuniformCatmullRom( p0.z, p1.z, p2.z, p3.z, dt0, dt1, dt2 );\n\n\t\t} else if ( this.curveType === 'catmullrom' ) {\n\n\t\t\tpx.initCatmullRom( p0.x, p1.x, p2.x, p3.x, this.tension );\n\t\t\tpy.initCatmullRom( p0.y, p1.y, p2.y, p3.y, this.tension );\n\t\t\tpz.initCatmullRom( p0.z, p1.z, p2.z, p3.z, this.tension );\n\n\t\t}\n\n\t\tpoint.set(\n\t\t\tpx.calc( weight ),\n\t\t\tpy.calc( weight ),\n\t\t\tpz.calc( weight )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = source.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = source.points[ i ];\n\n\t\t\tthis.points.push( point.clone() );\n\n\t\t}\n\n\t\tthis.closed = source.closed;\n\t\tthis.curveType = source.curveType;\n\t\tthis.tension = source.tension;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.points = [];\n\n\t\tfor ( let i = 0, l = this.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = this.points[ i ];\n\t\t\tdata.points.push( point.toArray() );\n\n\t\t}\n\n\t\tdata.closed = this.closed;\n\t\tdata.curveType = this.curveType;\n\t\tdata.tension = this.tension;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = json.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = json.points[ i ];\n\t\t\tthis.points.push( new Vector3().fromArray( point ) );\n\n\t\t}\n\n\t\tthis.closed = json.closed;\n\t\tthis.curveType = json.curveType;\n\t\tthis.tension = json.tension;\n\n\t\treturn this;\n\n\t}\n\n}\n\n/**\n * Bezier Curves formulas obtained from\n * https://en.wikipedia.org/wiki/B%C3%A9zier_curve\n */\n\nfunction CatmullRom( t, p0, p1, p2, p3 ) {\n\n\tconst v0 = ( p2 - p0 ) * 0.5;\n\tconst v1 = ( p3 - p1 ) * 0.5;\n\tconst t2 = t * t;\n\tconst t3 = t * t2;\n\treturn ( 2 * p1 - 2 * p2 + v0 + v1 ) * t3 + ( - 3 * p1 + 3 * p2 - 2 * v0 - v1 ) * t2 + v0 * t + p1;\n\n}\n\n//\n\nfunction QuadraticBezierP0( t, p ) {\n\n\tconst k = 1 - t;\n\treturn k * k * p;\n\n}\n\nfunction QuadraticBezierP1( t, p ) {\n\n\treturn 2 * ( 1 - t ) * t * p;\n\n}\n\nfunction QuadraticBezierP2( t, p ) {\n\n\treturn t * t * p;\n\n}\n\nfunction QuadraticBezier( t, p0, p1, p2 ) {\n\n\treturn QuadraticBezierP0( t, p0 ) + QuadraticBezierP1( t, p1 ) +\n\t\tQuadraticBezierP2( t, p2 );\n\n}\n\n//\n\nfunction CubicBezierP0( t, p ) {\n\n\tconst k = 1 - t;\n\treturn k * k * k * p;\n\n}\n\nfunction CubicBezierP1( t, p ) {\n\n\tconst k = 1 - t;\n\treturn 3 * k * k * t * p;\n\n}\n\nfunction CubicBezierP2( t, p ) {\n\n\treturn 3 * ( 1 - t ) * t * t * p;\n\n}\n\nfunction CubicBezierP3( t, p ) {\n\n\treturn t * t * t * p;\n\n}\n\nfunction CubicBezier( t, p0, p1, p2, p3 ) {\n\n\treturn CubicBezierP0( t, p0 ) + CubicBezierP1( t, p1 ) + CubicBezierP2( t, p2 ) +\n\t\tCubicBezierP3( t, p3 );\n\n}\n\nclass CubicBezierCurve extends Curve {\n\n\tconstructor( v0 = new Vector2(), v1 = new Vector2(), v2 = new Vector2(), v3 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isCubicBezierCurve = true;\n\n\t\tthis.type = 'CubicBezierCurve';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\t\tthis.v3 = v3;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2, v3 = this.v3;\n\n\t\tpoint.set(\n\t\t\tCubicBezier( t, v0.x, v1.x, v2.x, v3.x ),\n\t\t\tCubicBezier( t, v0.y, v1.y, v2.y, v3.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\t\tthis.v3.copy( source.v3 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\t\tdata.v3 = this.v3.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\t\tthis.v3.fromArray( json.v3 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass CubicBezierCurve3 extends Curve {\n\n\tconstructor( v0 = new Vector3(), v1 = new Vector3(), v2 = new Vector3(), v3 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isCubicBezierCurve3 = true;\n\n\t\tthis.type = 'CubicBezierCurve3';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\t\tthis.v3 = v3;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2, v3 = this.v3;\n\n\t\tpoint.set(\n\t\t\tCubicBezier( t, v0.x, v1.x, v2.x, v3.x ),\n\t\t\tCubicBezier( t, v0.y, v1.y, v2.y, v3.y ),\n\t\t\tCubicBezier( t, v0.z, v1.z, v2.z, v3.z )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\t\tthis.v3.copy( source.v3 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\t\tdata.v3 = this.v3.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\t\tthis.v3.fromArray( json.v3 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineCurve extends Curve {\n\n\tconstructor( v1 = new Vector2(), v2 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isLineCurve = true;\n\n\t\tthis.type = 'LineCurve';\n\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tif ( t === 1 ) {\n\n\t\t\tpoint.copy( this.v2 );\n\n\t\t} else {\n\n\t\t\tpoint.copy( this.v2 ).sub( this.v1 );\n\t\t\tpoint.multiplyScalar( t ).add( this.v1 );\n\n\t\t}\n\n\t\treturn point;\n\n\t}\n\n\t// Line curve is linear, so we can overwrite default getPointAt\n\tgetPointAt( u, optionalTarget ) {\n\n\t\treturn this.getPoint( u, optionalTarget );\n\n\t}\n\n\tgetTangent( t, optionalTarget = new Vector2() ) {\n\n\t\treturn optionalTarget.subVectors( this.v2, this.v1 ).normalize();\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\treturn this.getTangent( u, optionalTarget );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineCurve3 extends Curve {\n\n\tconstructor( v1 = new Vector3(), v2 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isLineCurve3 = true;\n\n\t\tthis.type = 'LineCurve3';\n\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tif ( t === 1 ) {\n\n\t\t\tpoint.copy( this.v2 );\n\n\t\t} else {\n\n\t\t\tpoint.copy( this.v2 ).sub( this.v1 );\n\t\t\tpoint.multiplyScalar( t ).add( this.v1 );\n\n\t\t}\n\n\t\treturn point;\n\n\t}\n\n\t// Line curve is linear, so we can overwrite default getPointAt\n\tgetPointAt( u, optionalTarget ) {\n\n\t\treturn this.getPoint( u, optionalTarget );\n\n\t}\n\n\tgetTangent( t, optionalTarget = new Vector3() ) {\n\n\t\treturn optionalTarget.subVectors( this.v2, this.v1 ).normalize();\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\treturn this.getTangent( u, optionalTarget );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass QuadraticBezierCurve extends Curve {\n\n\tconstructor( v0 = new Vector2(), v1 = new Vector2(), v2 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isQuadraticBezierCurve = true;\n\n\t\tthis.type = 'QuadraticBezierCurve';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2;\n\n\t\tpoint.set(\n\t\t\tQuadraticBezier( t, v0.x, v1.x, v2.x ),\n\t\t\tQuadraticBezier( t, v0.y, v1.y, v2.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass QuadraticBezierCurve3 extends Curve {\n\n\tconstructor( v0 = new Vector3(), v1 = new Vector3(), v2 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isQuadraticBezierCurve3 = true;\n\n\t\tthis.type = 'QuadraticBezierCurve3';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2;\n\n\t\tpoint.set(\n\t\t\tQuadraticBezier( t, v0.x, v1.x, v2.x ),\n\t\t\tQuadraticBezier( t, v0.y, v1.y, v2.y ),\n\t\t\tQuadraticBezier( t, v0.z, v1.z, v2.z )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass SplineCurve extends Curve {\n\n\tconstructor( points = [] ) {\n\n\t\tsuper();\n\n\t\tthis.isSplineCurve = true;\n\n\t\tthis.type = 'SplineCurve';\n\n\t\tthis.points = points;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst points = this.points;\n\t\tconst p = ( points.length - 1 ) * t;\n\n\t\tconst intPoint = Math.floor( p );\n\t\tconst weight = p - intPoint;\n\n\t\tconst p0 = points[ intPoint === 0 ? intPoint : intPoint - 1 ];\n\t\tconst p1 = points[ intPoint ];\n\t\tconst p2 = points[ intPoint > points.length - 2 ? points.length - 1 : intPoint + 1 ];\n\t\tconst p3 = points[ intPoint > points.length - 3 ? points.length - 1 : intPoint + 2 ];\n\n\t\tpoint.set(\n\t\t\tCatmullRom( weight, p0.x, p1.x, p2.x, p3.x ),\n\t\t\tCatmullRom( weight, p0.y, p1.y, p2.y, p3.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = source.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = source.points[ i ];\n\n\t\t\tthis.points.push( point.clone() );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.points = [];\n\n\t\tfor ( let i = 0, l = this.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = this.points[ i ];\n\t\t\tdata.points.push( point.toArray() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = json.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = json.points[ i ];\n\t\t\tthis.points.push( new Vector2().fromArray( point ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nvar Curves = /*#__PURE__*/Object.freeze({\n\t__proto__: null,\n\tArcCurve: ArcCurve,\n\tCatmullRomCurve3: CatmullRomCurve3,\n\tCubicBezierCurve: CubicBezierCurve,\n\tCubicBezierCurve3: CubicBezierCurve3,\n\tEllipseCurve: EllipseCurve,\n\tLineCurve: LineCurve,\n\tLineCurve3: LineCurve3,\n\tQuadraticBezierCurve: QuadraticBezierCurve,\n\tQuadraticBezierCurve3: QuadraticBezierCurve3,\n\tSplineCurve: SplineCurve\n});\n\n/**************************************************************\n *\tCurved Path - a curve path is simply a array of connected\n * curves, but retains the api of a curve\n **************************************************************/\n\nclass CurvePath extends Curve {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.type = 'CurvePath';\n\n\t\tthis.curves = [];\n\t\tthis.autoClose = false; // Automatically closes the path\n\n\t}\n\n\tadd( curve ) {\n\n\t\tthis.curves.push( curve );\n\n\t}\n\n\tclosePath() {\n\n\t\t// Add a line curve if start and end of lines are not connected\n\t\tconst startPoint = this.curves[ 0 ].getPoint( 0 );\n\t\tconst endPoint = this.curves[ this.curves.length - 1 ].getPoint( 1 );\n\n\t\tif ( ! startPoint.equals( endPoint ) ) {\n\n\t\t\tconst lineType = ( startPoint.isVector2 === true ) ? 'LineCurve' : 'LineCurve3';\n\t\t\tthis.curves.push( new Curves[ lineType ]( endPoint, startPoint ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// To get accurate point with reference to\n\t// entire path distance at time t,\n\t// following has to be done:\n\n\t// 1. Length of each sub path have to be known\n\t// 2. Locate and identify type of curve\n\t// 3. Get t for the curve\n\t// 4. Return curve.getPointAt(t')\n\n\tgetPoint( t, optionalTarget ) {\n\n\t\tconst d = t * this.getLength();\n\t\tconst curveLengths = this.getCurveLengths();\n\t\tlet i = 0;\n\n\t\t// To think about boundaries points.\n\n\t\twhile ( i < curveLengths.length ) {\n\n\t\t\tif ( curveLengths[ i ] >= d ) {\n\n\t\t\t\tconst diff = curveLengths[ i ] - d;\n\t\t\t\tconst curve = this.curves[ i ];\n\n\t\t\t\tconst segmentLength = curve.getLength();\n\t\t\t\tconst u = segmentLength === 0 ? 0 : 1 - diff / segmentLength;\n\n\t\t\t\treturn curve.getPointAt( u, optionalTarget );\n\n\t\t\t}\n\n\t\t\ti ++;\n\n\t\t}\n\n\t\treturn null;\n\n\t\t// loop where sum != 0, sum > d , sum+1 1 && ! points[ points.length - 1 ].equals( points[ 0 ] ) ) {\n\n\t\t\tpoints.push( points[ 0 ] );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.curves = [];\n\n\t\tfor ( let i = 0, l = source.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = source.curves[ i ];\n\n\t\t\tthis.curves.push( curve.clone() );\n\n\t\t}\n\n\t\tthis.autoClose = source.autoClose;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.autoClose = this.autoClose;\n\t\tdata.curves = [];\n\n\t\tfor ( let i = 0, l = this.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = this.curves[ i ];\n\t\t\tdata.curves.push( curve.toJSON() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.autoClose = json.autoClose;\n\t\tthis.curves = [];\n\n\t\tfor ( let i = 0, l = json.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = json.curves[ i ];\n\t\t\tthis.curves.push( new Curves[ curve.type ]().fromJSON( curve ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Path extends CurvePath {\n\n\tconstructor( points ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'Path';\n\n\t\tthis.currentPoint = new Vector2();\n\n\t\tif ( points ) {\n\n\t\t\tthis.setFromPoints( points );\n\n\t\t}\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.moveTo( points[ 0 ].x, points[ 0 ].y );\n\n\t\tfor ( let i = 1, l = points.length; i < l; i ++ ) {\n\n\t\t\tthis.lineTo( points[ i ].x, points[ i ].y );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmoveTo( x, y ) {\n\n\t\tthis.currentPoint.set( x, y ); // TODO consider referencing vectors instead of copying?\n\n\t\treturn this;\n\n\t}\n\n\tlineTo( x, y ) {\n\n\t\tconst curve = new LineCurve( this.currentPoint.clone(), new Vector2( x, y ) );\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tquadraticCurveTo( aCPx, aCPy, aX, aY ) {\n\n\t\tconst curve = new QuadraticBezierCurve(\n\t\t\tthis.currentPoint.clone(),\n\t\t\tnew Vector2( aCPx, aCPy ),\n\t\t\tnew Vector2( aX, aY )\n\t\t);\n\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tbezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY ) {\n\n\t\tconst curve = new CubicBezierCurve(\n\t\t\tthis.currentPoint.clone(),\n\t\t\tnew Vector2( aCP1x, aCP1y ),\n\t\t\tnew Vector2( aCP2x, aCP2y ),\n\t\t\tnew Vector2( aX, aY )\n\t\t);\n\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tsplineThru( pts /*Array of Vector*/ ) {\n\n\t\tconst npts = [ this.currentPoint.clone() ].concat( pts );\n\n\t\tconst curve = new SplineCurve( npts );\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.copy( pts[ pts.length - 1 ] );\n\n\t\treturn this;\n\n\t}\n\n\tarc( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tconst x0 = this.currentPoint.x;\n\t\tconst y0 = this.currentPoint.y;\n\n\t\tthis.absarc( aX + x0, aY + y0, aRadius,\n\t\t\taStartAngle, aEndAngle, aClockwise );\n\n\t\treturn this;\n\n\t}\n\n\tabsarc( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tthis.absellipse( aX, aY, aRadius, aRadius, aStartAngle, aEndAngle, aClockwise );\n\n\t\treturn this;\n\n\t}\n\n\tellipse( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation ) {\n\n\t\tconst x0 = this.currentPoint.x;\n\t\tconst y0 = this.currentPoint.y;\n\n\t\tthis.absellipse( aX + x0, aY + y0, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation );\n\n\t\treturn this;\n\n\t}\n\n\tabsellipse( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation ) {\n\n\t\tconst curve = new EllipseCurve( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation );\n\n\t\tif ( this.curves.length > 0 ) {\n\n\t\t\t// if a previous curve is present, attempt to join\n\t\t\tconst firstPoint = curve.getPoint( 0 );\n\n\t\t\tif ( ! firstPoint.equals( this.currentPoint ) ) {\n\n\t\t\t\tthis.lineTo( firstPoint.x, firstPoint.y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.curves.push( curve );\n\n\t\tconst lastPoint = curve.getPoint( 1 );\n\t\tthis.currentPoint.copy( lastPoint );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.currentPoint.copy( source.currentPoint );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.currentPoint = this.currentPoint.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.currentPoint.fromArray( json.currentPoint );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LatheGeometry extends BufferGeometry {\n\n\tconstructor( points = [ new Vector2( 0, - 0.5 ), new Vector2( 0.5, 0 ), new Vector2( 0, 0.5 ) ], segments = 12, phiStart = 0, phiLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'LatheGeometry';\n\n\t\tthis.parameters = {\n\t\t\tpoints: points,\n\t\t\tsegments: segments,\n\t\t\tphiStart: phiStart,\n\t\t\tphiLength: phiLength\n\t\t};\n\n\t\tsegments = Math.floor( segments );\n\n\t\t// clamp phiLength so it's in range of [ 0, 2PI ]\n\n\t\tphiLength = clamp( phiLength, 0, Math.PI * 2 );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst uvs = [];\n\t\tconst initNormals = [];\n\t\tconst normals = [];\n\n\t\t// helper variables\n\n\t\tconst inverseSegments = 1.0 / segments;\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\t\tconst normal = new Vector3();\n\t\tconst curNormal = new Vector3();\n\t\tconst prevNormal = new Vector3();\n\t\tlet dx = 0;\n\t\tlet dy = 0;\n\n\t\t// pre-compute normals for initial \"meridian\"\n\n\t\tfor ( let j = 0; j <= ( points.length - 1 ); j ++ ) {\n\n\t\t\tswitch ( j ) {\n\n\t\t\t\tcase 0:\t\t\t\t// special handling for 1st vertex on path\n\n\t\t\t\t\tdx = points[ j + 1 ].x - points[ j ].x;\n\t\t\t\t\tdy = points[ j + 1 ].y - points[ j ].y;\n\n\t\t\t\t\tnormal.x = dy * 1.0;\n\t\t\t\t\tnormal.y = - dx;\n\t\t\t\t\tnormal.z = dy * 0.0;\n\n\t\t\t\t\tprevNormal.copy( normal );\n\n\t\t\t\t\tnormal.normalize();\n\n\t\t\t\t\tinitNormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ( points.length - 1 ):\t// special handling for last Vertex on path\n\n\t\t\t\t\tinitNormals.push( prevNormal.x, prevNormal.y, prevNormal.z );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\t\t\t// default handling for all vertices in between\n\n\t\t\t\t\tdx = points[ j + 1 ].x - points[ j ].x;\n\t\t\t\t\tdy = points[ j + 1 ].y - points[ j ].y;\n\n\t\t\t\t\tnormal.x = dy * 1.0;\n\t\t\t\t\tnormal.y = - dx;\n\t\t\t\t\tnormal.z = dy * 0.0;\n\n\t\t\t\t\tcurNormal.copy( normal );\n\n\t\t\t\t\tnormal.x += prevNormal.x;\n\t\t\t\t\tnormal.y += prevNormal.y;\n\t\t\t\t\tnormal.z += prevNormal.z;\n\n\t\t\t\t\tnormal.normalize();\n\n\t\t\t\t\tinitNormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\tprevNormal.copy( curNormal );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate vertices, uvs and normals\n\n\t\tfor ( let i = 0; i <= segments; i ++ ) {\n\n\t\t\tconst phi = phiStart + i * inverseSegments * phiLength;\n\n\t\t\tconst sin = Math.sin( phi );\n\t\t\tconst cos = Math.cos( phi );\n\n\t\t\tfor ( let j = 0; j <= ( points.length - 1 ); j ++ ) {\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = points[ j ].x * sin;\n\t\t\t\tvertex.y = points[ j ].y;\n\t\t\t\tvertex.z = points[ j ].x * cos;\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = i / segments;\n\t\t\t\tuv.y = j / ( points.length - 1 );\n\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t// normal\n\n\t\t\t\tconst x = initNormals[ 3 * j + 0 ] * sin;\n\t\t\t\tconst y = initNormals[ 3 * j + 1 ];\n\t\t\t\tconst z = initNormals[ 3 * j + 0 ] * cos;\n\n\t\t\t\tnormals.push( x, y, z );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let i = 0; i < segments; i ++ ) {\n\n\t\t\tfor ( let j = 0; j < ( points.length - 1 ); j ++ ) {\n\n\t\t\t\tconst base = j + i * points.length;\n\n\t\t\t\tconst a = base;\n\t\t\t\tconst b = base + points.length;\n\t\t\t\tconst c = base + points.length + 1;\n\t\t\t\tconst d = base + 1;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( c, d, b );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new LatheGeometry( data.points, data.segments, data.phiStart, data.phiLength );\n\n\t}\n\n}\n\nclass CapsuleGeometry extends LatheGeometry {\n\n\tconstructor( radius = 1, length = 1, capSegments = 4, radialSegments = 8 ) {\n\n\t\tconst path = new Path();\n\t\tpath.absarc( 0, - length / 2, radius, Math.PI * 1.5, 0 );\n\t\tpath.absarc( 0, length / 2, radius, 0, Math.PI * 0.5 );\n\n\t\tsuper( path.getPoints( capSegments ), radialSegments );\n\n\t\tthis.type = 'CapsuleGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tlength: length,\n\t\t\tcapSegments: capSegments,\n\t\t\tradialSegments: radialSegments,\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CapsuleGeometry( data.radius, data.length, data.capSegments, data.radialSegments );\n\n\t}\n\n}\n\nclass CircleGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, segments = 32, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CircleGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tsegments: segments,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tsegments = Math.max( 3, segments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\n\t\t// center point\n\n\t\tvertices.push( 0, 0, 0 );\n\t\tnormals.push( 0, 0, 1 );\n\t\tuvs.push( 0.5, 0.5 );\n\n\t\tfor ( let s = 0, i = 3; s <= segments; s ++, i += 3 ) {\n\n\t\t\tconst segment = thetaStart + s / segments * thetaLength;\n\n\t\t\t// vertex\n\n\t\t\tvertex.x = radius * Math.cos( segment );\n\t\t\tvertex.y = radius * Math.sin( segment );\n\n\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t// normal\n\n\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t// uvs\n\n\t\t\tuv.x = ( vertices[ i ] / radius + 1 ) / 2;\n\t\t\tuv.y = ( vertices[ i + 1 ] / radius + 1 ) / 2;\n\n\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\tindices.push( i, i + 1, 0 );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CircleGeometry( data.radius, data.segments, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass CylinderGeometry extends BufferGeometry {\n\n\tconstructor( radiusTop = 1, radiusBottom = 1, height = 1, radialSegments = 32, heightSegments = 1, openEnded = false, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CylinderGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradiusTop: radiusTop,\n\t\t\tradiusBottom: radiusBottom,\n\t\t\theight: height,\n\t\t\tradialSegments: radialSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\topenEnded: openEnded,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tconst scope = this;\n\n\t\tradialSegments = Math.floor( radialSegments );\n\t\theightSegments = Math.floor( heightSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet index = 0;\n\t\tconst indexArray = [];\n\t\tconst halfHeight = height / 2;\n\t\tlet groupStart = 0;\n\n\t\t// generate geometry\n\n\t\tgenerateTorso();\n\n\t\tif ( openEnded === false ) {\n\n\t\t\tif ( radiusTop > 0 ) generateCap( true );\n\t\t\tif ( radiusBottom > 0 ) generateCap( false );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\tfunction generateTorso() {\n\n\t\t\tconst normal = new Vector3();\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tlet groupCount = 0;\n\n\t\t\t// this will be used to calculate the normal\n\t\t\tconst slope = ( radiusBottom - radiusTop ) / height;\n\n\t\t\t// generate vertices, normals and uvs\n\n\t\t\tfor ( let y = 0; y <= heightSegments; y ++ ) {\n\n\t\t\t\tconst indexRow = [];\n\n\t\t\t\tconst v = y / heightSegments;\n\n\t\t\t\t// calculate the radius of the current row\n\n\t\t\t\tconst radius = v * ( radiusBottom - radiusTop ) + radiusTop;\n\n\t\t\t\tfor ( let x = 0; x <= radialSegments; x ++ ) {\n\n\t\t\t\t\tconst u = x / radialSegments;\n\n\t\t\t\t\tconst theta = u * thetaLength + thetaStart;\n\n\t\t\t\t\tconst sinTheta = Math.sin( theta );\n\t\t\t\t\tconst cosTheta = Math.cos( theta );\n\n\t\t\t\t\t// vertex\n\n\t\t\t\t\tvertex.x = radius * sinTheta;\n\t\t\t\t\tvertex.y = - v * height + halfHeight;\n\t\t\t\t\tvertex.z = radius * cosTheta;\n\t\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t\t// normal\n\n\t\t\t\t\tnormal.set( sinTheta, slope, cosTheta ).normalize();\n\t\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\t// uv\n\n\t\t\t\t\tuvs.push( u, 1 - v );\n\n\t\t\t\t\t// save index of vertex in respective row\n\n\t\t\t\t\tindexRow.push( index ++ );\n\n\t\t\t\t}\n\n\t\t\t\t// now save vertices of the row in our index array\n\n\t\t\t\tindexArray.push( indexRow );\n\n\t\t\t}\n\n\t\t\t// generate indices\n\n\t\t\tfor ( let x = 0; x < radialSegments; x ++ ) {\n\n\t\t\t\tfor ( let y = 0; y < heightSegments; y ++ ) {\n\n\t\t\t\t\t// we use the index array to access the correct indices\n\n\t\t\t\t\tconst a = indexArray[ y ][ x ];\n\t\t\t\t\tconst b = indexArray[ y + 1 ][ x ];\n\t\t\t\t\tconst c = indexArray[ y + 1 ][ x + 1 ];\n\t\t\t\t\tconst d = indexArray[ y ][ x + 1 ];\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t\t// update group counter\n\n\t\t\t\t\tgroupCount += 6;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, 0 );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t}\n\n\t\tfunction generateCap( top ) {\n\n\t\t\t// save the index of the first center vertex\n\t\t\tconst centerIndexStart = index;\n\n\t\t\tconst uv = new Vector2();\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tlet groupCount = 0;\n\n\t\t\tconst radius = ( top === true ) ? radiusTop : radiusBottom;\n\t\t\tconst sign = ( top === true ) ? 1 : - 1;\n\n\t\t\t// first we generate the center vertex data of the cap.\n\t\t\t// because the geometry needs one set of uvs per face,\n\t\t\t// we must generate a center vertex per face/segment\n\n\t\t\tfor ( let x = 1; x <= radialSegments; x ++ ) {\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertices.push( 0, halfHeight * sign, 0 );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, sign, 0 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( 0.5, 0.5 );\n\n\t\t\t\t// increase index\n\n\t\t\t\tindex ++;\n\n\t\t\t}\n\n\t\t\t// save the index of the last center vertex\n\t\t\tconst centerIndexEnd = index;\n\n\t\t\t// now we generate the surrounding vertices, normals and uvs\n\n\t\t\tfor ( let x = 0; x <= radialSegments; x ++ ) {\n\n\t\t\t\tconst u = x / radialSegments;\n\t\t\t\tconst theta = u * thetaLength + thetaStart;\n\n\t\t\t\tconst cosTheta = Math.cos( theta );\n\t\t\t\tconst sinTheta = Math.sin( theta );\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = radius * sinTheta;\n\t\t\t\tvertex.y = halfHeight * sign;\n\t\t\t\tvertex.z = radius * cosTheta;\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, sign, 0 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = ( cosTheta * 0.5 ) + 0.5;\n\t\t\t\tuv.y = ( sinTheta * 0.5 * sign ) + 0.5;\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t// increase index\n\n\t\t\t\tindex ++;\n\n\t\t\t}\n\n\t\t\t// generate indices\n\n\t\t\tfor ( let x = 0; x < radialSegments; x ++ ) {\n\n\t\t\t\tconst c = centerIndexStart + x;\n\t\t\t\tconst i = centerIndexEnd + x;\n\n\t\t\t\tif ( top === true ) {\n\n\t\t\t\t\t// face top\n\n\t\t\t\t\tindices.push( i, i + 1, c );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// face bottom\n\n\t\t\t\t\tindices.push( i + 1, i, c );\n\n\t\t\t\t}\n\n\t\t\t\tgroupCount += 3;\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, top === true ? 1 : 2 );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CylinderGeometry( data.radiusTop, data.radiusBottom, data.height, data.radialSegments, data.heightSegments, data.openEnded, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass ConeGeometry extends CylinderGeometry {\n\n\tconstructor( radius = 1, height = 1, radialSegments = 32, heightSegments = 1, openEnded = false, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper( 0, radius, height, radialSegments, heightSegments, openEnded, thetaStart, thetaLength );\n\n\t\tthis.type = 'ConeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\theight: height,\n\t\t\tradialSegments: radialSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\topenEnded: openEnded,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new ConeGeometry( data.radius, data.height, data.radialSegments, data.heightSegments, data.openEnded, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass PolyhedronGeometry extends BufferGeometry {\n\n\tconstructor( vertices = [], indices = [], radius = 1, detail = 0 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'PolyhedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tvertices: vertices,\n\t\t\tindices: indices,\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t\t// default buffer data\n\n\t\tconst vertexBuffer = [];\n\t\tconst uvBuffer = [];\n\n\t\t// the subdivision creates the vertex buffer data\n\n\t\tsubdivide( detail );\n\n\t\t// all vertices should lie on a conceptual sphere with a given radius\n\n\t\tapplyRadius( radius );\n\n\t\t// finally, create the uv data\n\n\t\tgenerateUVs();\n\n\t\t// build non-indexed geometry\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertexBuffer, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( vertexBuffer.slice(), 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvBuffer, 2 ) );\n\n\t\tif ( detail === 0 ) {\n\n\t\t\tthis.computeVertexNormals(); // flat normals\n\n\t\t} else {\n\n\t\t\tthis.normalizeNormals(); // smooth normals\n\n\t\t}\n\n\t\t// helper functions\n\n\t\tfunction subdivide( detail ) {\n\n\t\t\tconst a = new Vector3();\n\t\t\tconst b = new Vector3();\n\t\t\tconst c = new Vector3();\n\n\t\t\t// iterate over all faces and apply a subdivision with the given detail value\n\n\t\t\tfor ( let i = 0; i < indices.length; i += 3 ) {\n\n\t\t\t\t// get the vertices of the face\n\n\t\t\t\tgetVertexByIndex( indices[ i + 0 ], a );\n\t\t\t\tgetVertexByIndex( indices[ i + 1 ], b );\n\t\t\t\tgetVertexByIndex( indices[ i + 2 ], c );\n\n\t\t\t\t// perform subdivision\n\n\t\t\t\tsubdivideFace( a, b, c, detail );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction subdivideFace( a, b, c, detail ) {\n\n\t\t\tconst cols = detail + 1;\n\n\t\t\t// we use this multidimensional array as a data structure for creating the subdivision\n\n\t\t\tconst v = [];\n\n\t\t\t// construct all of the vertices for this subdivision\n\n\t\t\tfor ( let i = 0; i <= cols; i ++ ) {\n\n\t\t\t\tv[ i ] = [];\n\n\t\t\t\tconst aj = a.clone().lerp( c, i / cols );\n\t\t\t\tconst bj = b.clone().lerp( c, i / cols );\n\n\t\t\t\tconst rows = cols - i;\n\n\t\t\t\tfor ( let j = 0; j <= rows; j ++ ) {\n\n\t\t\t\t\tif ( j === 0 && i === cols ) {\n\n\t\t\t\t\t\tv[ i ][ j ] = aj;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tv[ i ][ j ] = aj.clone().lerp( bj, j / rows );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// construct all of the faces\n\n\t\t\tfor ( let i = 0; i < cols; i ++ ) {\n\n\t\t\t\tfor ( let j = 0; j < 2 * ( cols - i ) - 1; j ++ ) {\n\n\t\t\t\t\tconst k = Math.floor( j / 2 );\n\n\t\t\t\t\tif ( j % 2 === 0 ) {\n\n\t\t\t\t\t\tpushVertex( v[ i ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k ] );\n\t\t\t\t\t\tpushVertex( v[ i ][ k ] );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpushVertex( v[ i ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction applyRadius( radius ) {\n\n\t\t\tconst vertex = new Vector3();\n\n\t\t\t// iterate over the entire buffer and apply the radius to each vertex\n\n\t\t\tfor ( let i = 0; i < vertexBuffer.length; i += 3 ) {\n\n\t\t\t\tvertex.x = vertexBuffer[ i + 0 ];\n\t\t\t\tvertex.y = vertexBuffer[ i + 1 ];\n\t\t\t\tvertex.z = vertexBuffer[ i + 2 ];\n\n\t\t\t\tvertex.normalize().multiplyScalar( radius );\n\n\t\t\t\tvertexBuffer[ i + 0 ] = vertex.x;\n\t\t\t\tvertexBuffer[ i + 1 ] = vertex.y;\n\t\t\t\tvertexBuffer[ i + 2 ] = vertex.z;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateUVs() {\n\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tfor ( let i = 0; i < vertexBuffer.length; i += 3 ) {\n\n\t\t\t\tvertex.x = vertexBuffer[ i + 0 ];\n\t\t\t\tvertex.y = vertexBuffer[ i + 1 ];\n\t\t\t\tvertex.z = vertexBuffer[ i + 2 ];\n\n\t\t\t\tconst u = azimuth( vertex ) / 2 / Math.PI + 0.5;\n\t\t\t\tconst v = inclination( vertex ) / Math.PI + 0.5;\n\t\t\t\tuvBuffer.push( u, 1 - v );\n\n\t\t\t}\n\n\t\t\tcorrectUVs();\n\n\t\t\tcorrectSeam();\n\n\t\t}\n\n\t\tfunction correctSeam() {\n\n\t\t\t// handle case when face straddles the seam, see #3269\n\n\t\t\tfor ( let i = 0; i < uvBuffer.length; i += 6 ) {\n\n\t\t\t\t// uv data of a single face\n\n\t\t\t\tconst x0 = uvBuffer[ i + 0 ];\n\t\t\t\tconst x1 = uvBuffer[ i + 2 ];\n\t\t\t\tconst x2 = uvBuffer[ i + 4 ];\n\n\t\t\t\tconst max = Math.max( x0, x1, x2 );\n\t\t\t\tconst min = Math.min( x0, x1, x2 );\n\n\t\t\t\t// 0.9 is somewhat arbitrary\n\n\t\t\t\tif ( max > 0.9 && min < 0.1 ) {\n\n\t\t\t\t\tif ( x0 < 0.2 ) uvBuffer[ i + 0 ] += 1;\n\t\t\t\t\tif ( x1 < 0.2 ) uvBuffer[ i + 2 ] += 1;\n\t\t\t\t\tif ( x2 < 0.2 ) uvBuffer[ i + 4 ] += 1;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction pushVertex( vertex ) {\n\n\t\t\tvertexBuffer.push( vertex.x, vertex.y, vertex.z );\n\n\t\t}\n\n\t\tfunction getVertexByIndex( index, vertex ) {\n\n\t\t\tconst stride = index * 3;\n\n\t\t\tvertex.x = vertices[ stride + 0 ];\n\t\t\tvertex.y = vertices[ stride + 1 ];\n\t\t\tvertex.z = vertices[ stride + 2 ];\n\n\t\t}\n\n\t\tfunction correctUVs() {\n\n\t\t\tconst a = new Vector3();\n\t\t\tconst b = new Vector3();\n\t\t\tconst c = new Vector3();\n\n\t\t\tconst centroid = new Vector3();\n\n\t\t\tconst uvA = new Vector2();\n\t\t\tconst uvB = new Vector2();\n\t\t\tconst uvC = new Vector2();\n\n\t\t\tfor ( let i = 0, j = 0; i < vertexBuffer.length; i += 9, j += 6 ) {\n\n\t\t\t\ta.set( vertexBuffer[ i + 0 ], vertexBuffer[ i + 1 ], vertexBuffer[ i + 2 ] );\n\t\t\t\tb.set( vertexBuffer[ i + 3 ], vertexBuffer[ i + 4 ], vertexBuffer[ i + 5 ] );\n\t\t\t\tc.set( vertexBuffer[ i + 6 ], vertexBuffer[ i + 7 ], vertexBuffer[ i + 8 ] );\n\n\t\t\t\tuvA.set( uvBuffer[ j + 0 ], uvBuffer[ j + 1 ] );\n\t\t\t\tuvB.set( uvBuffer[ j + 2 ], uvBuffer[ j + 3 ] );\n\t\t\t\tuvC.set( uvBuffer[ j + 4 ], uvBuffer[ j + 5 ] );\n\n\t\t\t\tcentroid.copy( a ).add( b ).add( c ).divideScalar( 3 );\n\n\t\t\t\tconst azi = azimuth( centroid );\n\n\t\t\t\tcorrectUV( uvA, j + 0, a, azi );\n\t\t\t\tcorrectUV( uvB, j + 2, b, azi );\n\t\t\t\tcorrectUV( uvC, j + 4, c, azi );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction correctUV( uv, stride, vector, azimuth ) {\n\n\t\t\tif ( ( azimuth < 0 ) && ( uv.x === 1 ) ) {\n\n\t\t\t\tuvBuffer[ stride ] = uv.x - 1;\n\n\t\t\t}\n\n\t\t\tif ( ( vector.x === 0 ) && ( vector.z === 0 ) ) {\n\n\t\t\t\tuvBuffer[ stride ] = azimuth / 2 / Math.PI + 0.5;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Angle around the Y axis, counter-clockwise when looking from above.\n\n\t\tfunction azimuth( vector ) {\n\n\t\t\treturn Math.atan2( vector.z, - vector.x );\n\n\t\t}\n\n\n\t\t// Angle above the XZ plane.\n\n\t\tfunction inclination( vector ) {\n\n\t\t\treturn Math.atan2( - vector.y, Math.sqrt( ( vector.x * vector.x ) + ( vector.z * vector.z ) ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new PolyhedronGeometry( data.vertices, data.indices, data.radius, data.details );\n\n\t}\n\n}\n\nclass DodecahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst t = ( 1 + Math.sqrt( 5 ) ) / 2;\n\t\tconst r = 1 / t;\n\n\t\tconst vertices = [\n\n\t\t\t// (±1, ±1, ±1)\n\t\t\t- 1, - 1, - 1,\t- 1, - 1, 1,\n\t\t\t- 1, 1, - 1, - 1, 1, 1,\n\t\t\t1, - 1, - 1, 1, - 1, 1,\n\t\t\t1, 1, - 1, 1, 1, 1,\n\n\t\t\t// (0, ±1/φ, ±φ)\n\t\t\t0, - r, - t, 0, - r, t,\n\t\t\t0, r, - t, 0, r, t,\n\n\t\t\t// (±1/φ, ±φ, 0)\n\t\t\t- r, - t, 0, - r, t, 0,\n\t\t\tr, - t, 0, r, t, 0,\n\n\t\t\t// (±φ, 0, ±1/φ)\n\t\t\t- t, 0, - r, t, 0, - r,\n\t\t\t- t, 0, r, t, 0, r\n\t\t];\n\n\t\tconst indices = [\n\t\t\t3, 11, 7, \t3, 7, 15, \t3, 15, 13,\n\t\t\t7, 19, 17, \t7, 17, 6, \t7, 6, 15,\n\t\t\t17, 4, 8, \t17, 8, 10, \t17, 10, 6,\n\t\t\t8, 0, 16, \t8, 16, 2, \t8, 2, 10,\n\t\t\t0, 12, 1, \t0, 1, 18, \t0, 18, 16,\n\t\t\t6, 10, 2, \t6, 2, 13, \t6, 13, 15,\n\t\t\t2, 16, 18, \t2, 18, 3, \t2, 3, 13,\n\t\t\t18, 1, 9, \t18, 9, 11, \t18, 11, 3,\n\t\t\t4, 14, 12, \t4, 12, 0, \t4, 0, 8,\n\t\t\t11, 9, 5, \t11, 5, 19, \t11, 19, 7,\n\t\t\t19, 5, 14, \t19, 14, 4, \t19, 4, 17,\n\t\t\t1, 12, 14, \t1, 14, 5, \t1, 5, 9\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'DodecahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new DodecahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nconst _v0 = /*@__PURE__*/ new Vector3();\nconst _v1$1 = /*@__PURE__*/ new Vector3();\nconst _normal = /*@__PURE__*/ new Vector3();\nconst _triangle = /*@__PURE__*/ new Triangle();\n\nclass EdgesGeometry extends BufferGeometry {\n\n\tconstructor( geometry = null, thresholdAngle = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'EdgesGeometry';\n\n\t\tthis.parameters = {\n\t\t\tgeometry: geometry,\n\t\t\tthresholdAngle: thresholdAngle\n\t\t};\n\n\t\tif ( geometry !== null ) {\n\n\t\t\tconst precisionPoints = 4;\n\t\t\tconst precision = Math.pow( 10, precisionPoints );\n\t\t\tconst thresholdDot = Math.cos( DEG2RAD * thresholdAngle );\n\n\t\t\tconst indexAttr = geometry.getIndex();\n\t\t\tconst positionAttr = geometry.getAttribute( 'position' );\n\t\t\tconst indexCount = indexAttr ? indexAttr.count : positionAttr.count;\n\n\t\t\tconst indexArr = [ 0, 0, 0 ];\n\t\t\tconst vertKeys = [ 'a', 'b', 'c' ];\n\t\t\tconst hashes = new Array( 3 );\n\n\t\t\tconst edgeData = {};\n\t\t\tconst vertices = [];\n\t\t\tfor ( let i = 0; i < indexCount; i += 3 ) {\n\n\t\t\t\tif ( indexAttr ) {\n\n\t\t\t\t\tindexArr[ 0 ] = indexAttr.getX( i );\n\t\t\t\t\tindexArr[ 1 ] = indexAttr.getX( i + 1 );\n\t\t\t\t\tindexArr[ 2 ] = indexAttr.getX( i + 2 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tindexArr[ 0 ] = i;\n\t\t\t\t\tindexArr[ 1 ] = i + 1;\n\t\t\t\t\tindexArr[ 2 ] = i + 2;\n\n\t\t\t\t}\n\n\t\t\t\tconst { a, b, c } = _triangle;\n\t\t\t\ta.fromBufferAttribute( positionAttr, indexArr[ 0 ] );\n\t\t\t\tb.fromBufferAttribute( positionAttr, indexArr[ 1 ] );\n\t\t\t\tc.fromBufferAttribute( positionAttr, indexArr[ 2 ] );\n\t\t\t\t_triangle.getNormal( _normal );\n\n\t\t\t\t// create hashes for the edge from the vertices\n\t\t\t\thashes[ 0 ] = `${ Math.round( a.x * precision ) },${ Math.round( a.y * precision ) },${ Math.round( a.z * precision ) }`;\n\t\t\t\thashes[ 1 ] = `${ Math.round( b.x * precision ) },${ Math.round( b.y * precision ) },${ Math.round( b.z * precision ) }`;\n\t\t\t\thashes[ 2 ] = `${ Math.round( c.x * precision ) },${ Math.round( c.y * precision ) },${ Math.round( c.z * precision ) }`;\n\n\t\t\t\t// skip degenerate triangles\n\t\t\t\tif ( hashes[ 0 ] === hashes[ 1 ] || hashes[ 1 ] === hashes[ 2 ] || hashes[ 2 ] === hashes[ 0 ] ) {\n\n\t\t\t\t\tcontinue;\n\n\t\t\t\t}\n\n\t\t\t\t// iterate over every edge\n\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t// get the first and next vertex making up the edge\n\t\t\t\t\tconst jNext = ( j + 1 ) % 3;\n\t\t\t\t\tconst vecHash0 = hashes[ j ];\n\t\t\t\t\tconst vecHash1 = hashes[ jNext ];\n\t\t\t\t\tconst v0 = _triangle[ vertKeys[ j ] ];\n\t\t\t\t\tconst v1 = _triangle[ vertKeys[ jNext ] ];\n\n\t\t\t\t\tconst hash = `${ vecHash0 }_${ vecHash1 }`;\n\t\t\t\t\tconst reverseHash = `${ vecHash1 }_${ vecHash0 }`;\n\n\t\t\t\t\tif ( reverseHash in edgeData && edgeData[ reverseHash ] ) {\n\n\t\t\t\t\t\t// if we found a sibling edge add it into the vertex array if\n\t\t\t\t\t\t// it meets the angle threshold and delete the edge from the map.\n\t\t\t\t\t\tif ( _normal.dot( edgeData[ reverseHash ].normal ) <= thresholdDot ) {\n\n\t\t\t\t\t\t\tvertices.push( v0.x, v0.y, v0.z );\n\t\t\t\t\t\t\tvertices.push( v1.x, v1.y, v1.z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tedgeData[ reverseHash ] = null;\n\n\t\t\t\t\t} else if ( ! ( hash in edgeData ) ) {\n\n\t\t\t\t\t\t// if we've already got an edge here then skip adding a new one\n\t\t\t\t\t\tedgeData[ hash ] = {\n\n\t\t\t\t\t\t\tindex0: indexArr[ j ],\n\t\t\t\t\t\t\tindex1: indexArr[ jNext ],\n\t\t\t\t\t\t\tnormal: _normal.clone(),\n\n\t\t\t\t\t\t};\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// iterate over all remaining, unmatched edges and add them to the vertex array\n\t\t\tfor ( const key in edgeData ) {\n\n\t\t\t\tif ( edgeData[ key ] ) {\n\n\t\t\t\t\tconst { index0, index1 } = edgeData[ key ];\n\t\t\t\t\t_v0.fromBufferAttribute( positionAttr, index0 );\n\t\t\t\t\t_v1$1.fromBufferAttribute( positionAttr, index1 );\n\n\t\t\t\t\tvertices.push( _v0.x, _v0.y, _v0.z );\n\t\t\t\t\tvertices.push( _v1$1.x, _v1$1.y, _v1$1.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Shape extends Path {\n\n\tconstructor( points ) {\n\n\t\tsuper( points );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.type = 'Shape';\n\n\t\tthis.holes = [];\n\n\t}\n\n\tgetPointsHoles( divisions ) {\n\n\t\tconst holesPts = [];\n\n\t\tfor ( let i = 0, l = this.holes.length; i < l; i ++ ) {\n\n\t\t\tholesPts[ i ] = this.holes[ i ].getPoints( divisions );\n\n\t\t}\n\n\t\treturn holesPts;\n\n\t}\n\n\t// get points of shape and holes (keypoints based on segments parameter)\n\n\textractPoints( divisions ) {\n\n\t\treturn {\n\n\t\t\tshape: this.getPoints( divisions ),\n\t\t\tholes: this.getPointsHoles( divisions )\n\n\t\t};\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.holes = [];\n\n\t\tfor ( let i = 0, l = source.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = source.holes[ i ];\n\n\t\t\tthis.holes.push( hole.clone() );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.uuid = this.uuid;\n\t\tdata.holes = [];\n\n\t\tfor ( let i = 0, l = this.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = this.holes[ i ];\n\t\t\tdata.holes.push( hole.toJSON() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.uuid = json.uuid;\n\t\tthis.holes = [];\n\n\t\tfor ( let i = 0, l = json.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = json.holes[ i ];\n\t\t\tthis.holes.push( new Path().fromJSON( hole ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\n/**\n * Port from https://github.com/mapbox/earcut (v2.2.4)\n */\n\nconst Earcut = {\n\n\ttriangulate: function ( data, holeIndices, dim = 2 ) {\n\n\t\tconst hasHoles = holeIndices && holeIndices.length;\n\t\tconst outerLen = hasHoles ? holeIndices[ 0 ] * dim : data.length;\n\t\tlet outerNode = linkedList( data, 0, outerLen, dim, true );\n\t\tconst triangles = [];\n\n\t\tif ( ! outerNode || outerNode.next === outerNode.prev ) return triangles;\n\n\t\tlet minX, minY, maxX, maxY, x, y, invSize;\n\n\t\tif ( hasHoles ) outerNode = eliminateHoles( data, holeIndices, outerNode, dim );\n\n\t\t// if the shape is not too simple, we'll use z-order curve hash later; calculate polygon bbox\n\t\tif ( data.length > 80 * dim ) {\n\n\t\t\tminX = maxX = data[ 0 ];\n\t\t\tminY = maxY = data[ 1 ];\n\n\t\t\tfor ( let i = dim; i < outerLen; i += dim ) {\n\n\t\t\t\tx = data[ i ];\n\t\t\t\ty = data[ i + 1 ];\n\t\t\t\tif ( x < minX ) minX = x;\n\t\t\t\tif ( y < minY ) minY = y;\n\t\t\t\tif ( x > maxX ) maxX = x;\n\t\t\t\tif ( y > maxY ) maxY = y;\n\n\t\t\t}\n\n\t\t\t// minX, minY and invSize are later used to transform coords into integers for z-order calculation\n\t\t\tinvSize = Math.max( maxX - minX, maxY - minY );\n\t\t\tinvSize = invSize !== 0 ? 32767 / invSize : 0;\n\n\t\t}\n\n\t\tearcutLinked( outerNode, triangles, dim, minX, minY, invSize, 0 );\n\n\t\treturn triangles;\n\n\t}\n\n};\n\n// create a circular doubly linked list from polygon points in the specified winding order\nfunction linkedList( data, start, end, dim, clockwise ) {\n\n\tlet i, last;\n\n\tif ( clockwise === ( signedArea( data, start, end, dim ) > 0 ) ) {\n\n\t\tfor ( i = start; i < end; i += dim ) last = insertNode( i, data[ i ], data[ i + 1 ], last );\n\n\t} else {\n\n\t\tfor ( i = end - dim; i >= start; i -= dim ) last = insertNode( i, data[ i ], data[ i + 1 ], last );\n\n\t}\n\n\tif ( last && equals( last, last.next ) ) {\n\n\t\tremoveNode( last );\n\t\tlast = last.next;\n\n\t}\n\n\treturn last;\n\n}\n\n// eliminate colinear or duplicate points\nfunction filterPoints( start, end ) {\n\n\tif ( ! start ) return start;\n\tif ( ! end ) end = start;\n\n\tlet p = start,\n\t\tagain;\n\tdo {\n\n\t\tagain = false;\n\n\t\tif ( ! p.steiner && ( equals( p, p.next ) || area( p.prev, p, p.next ) === 0 ) ) {\n\n\t\t\tremoveNode( p );\n\t\t\tp = end = p.prev;\n\t\t\tif ( p === p.next ) break;\n\t\t\tagain = true;\n\n\t\t} else {\n\n\t\t\tp = p.next;\n\n\t\t}\n\n\t} while ( again || p !== end );\n\n\treturn end;\n\n}\n\n// main ear slicing loop which triangulates a polygon (given as a linked list)\nfunction earcutLinked( ear, triangles, dim, minX, minY, invSize, pass ) {\n\n\tif ( ! ear ) return;\n\n\t// interlink polygon nodes in z-order\n\tif ( ! pass && invSize ) indexCurve( ear, minX, minY, invSize );\n\n\tlet stop = ear,\n\t\tprev, next;\n\n\t// iterate through ears, slicing them one by one\n\twhile ( ear.prev !== ear.next ) {\n\n\t\tprev = ear.prev;\n\t\tnext = ear.next;\n\n\t\tif ( invSize ? isEarHashed( ear, minX, minY, invSize ) : isEar( ear ) ) {\n\n\t\t\t// cut off the triangle\n\t\t\ttriangles.push( prev.i / dim | 0 );\n\t\t\ttriangles.push( ear.i / dim | 0 );\n\t\t\ttriangles.push( next.i / dim | 0 );\n\n\t\t\tremoveNode( ear );\n\n\t\t\t// skipping the next vertex leads to less sliver triangles\n\t\t\tear = next.next;\n\t\t\tstop = next.next;\n\n\t\t\tcontinue;\n\n\t\t}\n\n\t\tear = next;\n\n\t\t// if we looped through the whole remaining polygon and can't find any more ears\n\t\tif ( ear === stop ) {\n\n\t\t\t// try filtering points and slicing again\n\t\t\tif ( ! pass ) {\n\n\t\t\t\tearcutLinked( filterPoints( ear ), triangles, dim, minX, minY, invSize, 1 );\n\n\t\t\t\t// if this didn't work, try curing all small self-intersections locally\n\n\t\t\t} else if ( pass === 1 ) {\n\n\t\t\t\tear = cureLocalIntersections( filterPoints( ear ), triangles, dim );\n\t\t\t\tearcutLinked( ear, triangles, dim, minX, minY, invSize, 2 );\n\n\t\t\t\t// as a last resort, try splitting the remaining polygon into two\n\n\t\t\t} else if ( pass === 2 ) {\n\n\t\t\t\tsplitEarcut( ear, triangles, dim, minX, minY, invSize );\n\n\t\t\t}\n\n\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n}\n\n// check whether a polygon node forms a valid ear with adjacent nodes\nfunction isEar( ear ) {\n\n\tconst a = ear.prev,\n\t\tb = ear,\n\t\tc = ear.next;\n\n\tif ( area( a, b, c ) >= 0 ) return false; // reflex, can't be an ear\n\n\t// now make sure we don't have other points inside the potential ear\n\tconst ax = a.x, bx = b.x, cx = c.x, ay = a.y, by = b.y, cy = c.y;\n\n\t// triangle bbox; min & max are calculated like this for speed\n\tconst x0 = ax < bx ? ( ax < cx ? ax : cx ) : ( bx < cx ? bx : cx ),\n\t\ty0 = ay < by ? ( ay < cy ? ay : cy ) : ( by < cy ? by : cy ),\n\t\tx1 = ax > bx ? ( ax > cx ? ax : cx ) : ( bx > cx ? bx : cx ),\n\t\ty1 = ay > by ? ( ay > cy ? ay : cy ) : ( by > cy ? by : cy );\n\n\tlet p = c.next;\n\twhile ( p !== a ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) &&\n\t\t\tarea( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.next;\n\n\t}\n\n\treturn true;\n\n}\n\nfunction isEarHashed( ear, minX, minY, invSize ) {\n\n\tconst a = ear.prev,\n\t\tb = ear,\n\t\tc = ear.next;\n\n\tif ( area( a, b, c ) >= 0 ) return false; // reflex, can't be an ear\n\n\tconst ax = a.x, bx = b.x, cx = c.x, ay = a.y, by = b.y, cy = c.y;\n\n\t// triangle bbox; min & max are calculated like this for speed\n\tconst x0 = ax < bx ? ( ax < cx ? ax : cx ) : ( bx < cx ? bx : cx ),\n\t\ty0 = ay < by ? ( ay < cy ? ay : cy ) : ( by < cy ? by : cy ),\n\t\tx1 = ax > bx ? ( ax > cx ? ax : cx ) : ( bx > cx ? bx : cx ),\n\t\ty1 = ay > by ? ( ay > cy ? ay : cy ) : ( by > cy ? by : cy );\n\n\t// z-order range for the current triangle bbox;\n\tconst minZ = zOrder( x0, y0, minX, minY, invSize ),\n\t\tmaxZ = zOrder( x1, y1, minX, minY, invSize );\n\n\tlet p = ear.prevZ,\n\t\tn = ear.nextZ;\n\n\t// look for points inside the triangle in both directions\n\twhile ( p && p.z >= minZ && n && n.z <= maxZ ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 && p !== a && p !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) && area( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.prevZ;\n\n\t\tif ( n.x >= x0 && n.x <= x1 && n.y >= y0 && n.y <= y1 && n !== a && n !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, n.x, n.y ) && area( n.prev, n, n.next ) >= 0 ) return false;\n\t\tn = n.nextZ;\n\n\t}\n\n\t// look for remaining points in decreasing z-order\n\twhile ( p && p.z >= minZ ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 && p !== a && p !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) && area( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.prevZ;\n\n\t}\n\n\t// look for remaining points in increasing z-order\n\twhile ( n && n.z <= maxZ ) {\n\n\t\tif ( n.x >= x0 && n.x <= x1 && n.y >= y0 && n.y <= y1 && n !== a && n !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, n.x, n.y ) && area( n.prev, n, n.next ) >= 0 ) return false;\n\t\tn = n.nextZ;\n\n\t}\n\n\treturn true;\n\n}\n\n// go through all polygon nodes and cure small local self-intersections\nfunction cureLocalIntersections( start, triangles, dim ) {\n\n\tlet p = start;\n\tdo {\n\n\t\tconst a = p.prev,\n\t\t\tb = p.next.next;\n\n\t\tif ( ! equals( a, b ) && intersects( a, p, p.next, b ) && locallyInside( a, b ) && locallyInside( b, a ) ) {\n\n\t\t\ttriangles.push( a.i / dim | 0 );\n\t\t\ttriangles.push( p.i / dim | 0 );\n\t\t\ttriangles.push( b.i / dim | 0 );\n\n\t\t\t// remove two nodes involved\n\t\t\tremoveNode( p );\n\t\t\tremoveNode( p.next );\n\n\t\t\tp = start = b;\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\treturn filterPoints( p );\n\n}\n\n// try splitting polygon into two and triangulate them independently\nfunction splitEarcut( start, triangles, dim, minX, minY, invSize ) {\n\n\t// look for a valid diagonal that divides the polygon into two\n\tlet a = start;\n\tdo {\n\n\t\tlet b = a.next.next;\n\t\twhile ( b !== a.prev ) {\n\n\t\t\tif ( a.i !== b.i && isValidDiagonal( a, b ) ) {\n\n\t\t\t\t// split the polygon in two by the diagonal\n\t\t\t\tlet c = splitPolygon( a, b );\n\n\t\t\t\t// filter colinear points around the cuts\n\t\t\t\ta = filterPoints( a, a.next );\n\t\t\t\tc = filterPoints( c, c.next );\n\n\t\t\t\t// run earcut on each half\n\t\t\t\tearcutLinked( a, triangles, dim, minX, minY, invSize, 0 );\n\t\t\t\tearcutLinked( c, triangles, dim, minX, minY, invSize, 0 );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tb = b.next;\n\n\t\t}\n\n\t\ta = a.next;\n\n\t} while ( a !== start );\n\n}\n\n// link every hole into the outer loop, producing a single-ring polygon without holes\nfunction eliminateHoles( data, holeIndices, outerNode, dim ) {\n\n\tconst queue = [];\n\tlet i, len, start, end, list;\n\n\tfor ( i = 0, len = holeIndices.length; i < len; i ++ ) {\n\n\t\tstart = holeIndices[ i ] * dim;\n\t\tend = i < len - 1 ? holeIndices[ i + 1 ] * dim : data.length;\n\t\tlist = linkedList( data, start, end, dim, false );\n\t\tif ( list === list.next ) list.steiner = true;\n\t\tqueue.push( getLeftmost( list ) );\n\n\t}\n\n\tqueue.sort( compareX );\n\n\t// process holes from left to right\n\tfor ( i = 0; i < queue.length; i ++ ) {\n\n\t\touterNode = eliminateHole( queue[ i ], outerNode );\n\n\t}\n\n\treturn outerNode;\n\n}\n\nfunction compareX( a, b ) {\n\n\treturn a.x - b.x;\n\n}\n\n// find a bridge between vertices that connects hole with an outer ring and link it\nfunction eliminateHole( hole, outerNode ) {\n\n\tconst bridge = findHoleBridge( hole, outerNode );\n\tif ( ! bridge ) {\n\n\t\treturn outerNode;\n\n\t}\n\n\tconst bridgeReverse = splitPolygon( bridge, hole );\n\n\t// filter collinear points around the cuts\n\tfilterPoints( bridgeReverse, bridgeReverse.next );\n\treturn filterPoints( bridge, bridge.next );\n\n}\n\n// David Eberly's algorithm for finding a bridge between hole and outer polygon\nfunction findHoleBridge( hole, outerNode ) {\n\n\tlet p = outerNode,\n\t\tqx = - Infinity,\n\t\tm;\n\n\tconst hx = hole.x, hy = hole.y;\n\n\t// find a segment intersected by a ray from the hole's leftmost point to the left;\n\t// segment's endpoint with lesser x will be potential connection point\n\tdo {\n\n\t\tif ( hy <= p.y && hy >= p.next.y && p.next.y !== p.y ) {\n\n\t\t\tconst x = p.x + ( hy - p.y ) * ( p.next.x - p.x ) / ( p.next.y - p.y );\n\t\t\tif ( x <= hx && x > qx ) {\n\n\t\t\t\tqx = x;\n\t\t\t\tm = p.x < p.next.x ? p : p.next;\n\t\t\t\tif ( x === hx ) return m; // hole touches outer segment; pick leftmost endpoint\n\n\t\t\t}\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== outerNode );\n\n\tif ( ! m ) return null;\n\n\t// look for points inside the triangle of hole point, segment intersection and endpoint;\n\t// if there are no points found, we have a valid connection;\n\t// otherwise choose the point of the minimum angle with the ray as connection point\n\n\tconst stop = m,\n\t\tmx = m.x,\n\t\tmy = m.y;\n\tlet tanMin = Infinity, tan;\n\n\tp = m;\n\n\tdo {\n\n\t\tif ( hx >= p.x && p.x >= mx && hx !== p.x &&\n\t\t\t\tpointInTriangle( hy < my ? hx : qx, hy, mx, my, hy < my ? qx : hx, hy, p.x, p.y ) ) {\n\n\t\t\ttan = Math.abs( hy - p.y ) / ( hx - p.x ); // tangential\n\n\t\t\tif ( locallyInside( p, hole ) && ( tan < tanMin || ( tan === tanMin && ( p.x > m.x || ( p.x === m.x && sectorContainsSector( m, p ) ) ) ) ) ) {\n\n\t\t\t\tm = p;\n\t\t\t\ttanMin = tan;\n\n\t\t\t}\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== stop );\n\n\treturn m;\n\n}\n\n// whether sector in vertex m contains sector in vertex p in the same coordinates\nfunction sectorContainsSector( m, p ) {\n\n\treturn area( m.prev, m, p.prev ) < 0 && area( p.next, m, m.next ) < 0;\n\n}\n\n// interlink polygon nodes in z-order\nfunction indexCurve( start, minX, minY, invSize ) {\n\n\tlet p = start;\n\tdo {\n\n\t\tif ( p.z === 0 ) p.z = zOrder( p.x, p.y, minX, minY, invSize );\n\t\tp.prevZ = p.prev;\n\t\tp.nextZ = p.next;\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\tp.prevZ.nextZ = null;\n\tp.prevZ = null;\n\n\tsortLinked( p );\n\n}\n\n// Simon Tatham's linked list merge sort algorithm\n// http://www.chiark.greenend.org.uk/~sgtatham/algorithms/listsort.html\nfunction sortLinked( list ) {\n\n\tlet i, p, q, e, tail, numMerges, pSize, qSize,\n\t\tinSize = 1;\n\n\tdo {\n\n\t\tp = list;\n\t\tlist = null;\n\t\ttail = null;\n\t\tnumMerges = 0;\n\n\t\twhile ( p ) {\n\n\t\t\tnumMerges ++;\n\t\t\tq = p;\n\t\t\tpSize = 0;\n\t\t\tfor ( i = 0; i < inSize; i ++ ) {\n\n\t\t\t\tpSize ++;\n\t\t\t\tq = q.nextZ;\n\t\t\t\tif ( ! q ) break;\n\n\t\t\t}\n\n\t\t\tqSize = inSize;\n\n\t\t\twhile ( pSize > 0 || ( qSize > 0 && q ) ) {\n\n\t\t\t\tif ( pSize !== 0 && ( qSize === 0 || ! q || p.z <= q.z ) ) {\n\n\t\t\t\t\te = p;\n\t\t\t\t\tp = p.nextZ;\n\t\t\t\t\tpSize --;\n\n\t\t\t\t} else {\n\n\t\t\t\t\te = q;\n\t\t\t\t\tq = q.nextZ;\n\t\t\t\t\tqSize --;\n\n\t\t\t\t}\n\n\t\t\t\tif ( tail ) tail.nextZ = e;\n\t\t\t\telse list = e;\n\n\t\t\t\te.prevZ = tail;\n\t\t\t\ttail = e;\n\n\t\t\t}\n\n\t\t\tp = q;\n\n\t\t}\n\n\t\ttail.nextZ = null;\n\t\tinSize *= 2;\n\n\t} while ( numMerges > 1 );\n\n\treturn list;\n\n}\n\n// z-order of a point given coords and inverse of the longer side of data bbox\nfunction zOrder( x, y, minX, minY, invSize ) {\n\n\t// coords are transformed into non-negative 15-bit integer range\n\tx = ( x - minX ) * invSize | 0;\n\ty = ( y - minY ) * invSize | 0;\n\n\tx = ( x | ( x << 8 ) ) & 0x00FF00FF;\n\tx = ( x | ( x << 4 ) ) & 0x0F0F0F0F;\n\tx = ( x | ( x << 2 ) ) & 0x33333333;\n\tx = ( x | ( x << 1 ) ) & 0x55555555;\n\n\ty = ( y | ( y << 8 ) ) & 0x00FF00FF;\n\ty = ( y | ( y << 4 ) ) & 0x0F0F0F0F;\n\ty = ( y | ( y << 2 ) ) & 0x33333333;\n\ty = ( y | ( y << 1 ) ) & 0x55555555;\n\n\treturn x | ( y << 1 );\n\n}\n\n// find the leftmost node of a polygon ring\nfunction getLeftmost( start ) {\n\n\tlet p = start,\n\t\tleftmost = start;\n\tdo {\n\n\t\tif ( p.x < leftmost.x || ( p.x === leftmost.x && p.y < leftmost.y ) ) leftmost = p;\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\treturn leftmost;\n\n}\n\n// check if a point lies within a convex triangle\nfunction pointInTriangle( ax, ay, bx, by, cx, cy, px, py ) {\n\n\treturn ( cx - px ) * ( ay - py ) >= ( ax - px ) * ( cy - py ) &&\n ( ax - px ) * ( by - py ) >= ( bx - px ) * ( ay - py ) &&\n ( bx - px ) * ( cy - py ) >= ( cx - px ) * ( by - py );\n\n}\n\n// check if a diagonal between two polygon nodes is valid (lies in polygon interior)\nfunction isValidDiagonal( a, b ) {\n\n\treturn a.next.i !== b.i && a.prev.i !== b.i && ! intersectsPolygon( a, b ) && // dones't intersect other edges\n ( locallyInside( a, b ) && locallyInside( b, a ) && middleInside( a, b ) && // locally visible\n ( area( a.prev, a, b.prev ) || area( a, b.prev, b ) ) || // does not create opposite-facing sectors\n equals( a, b ) && area( a.prev, a, a.next ) > 0 && area( b.prev, b, b.next ) > 0 ); // special zero-length case\n\n}\n\n// signed area of a triangle\nfunction area( p, q, r ) {\n\n\treturn ( q.y - p.y ) * ( r.x - q.x ) - ( q.x - p.x ) * ( r.y - q.y );\n\n}\n\n// check if two points are equal\nfunction equals( p1, p2 ) {\n\n\treturn p1.x === p2.x && p1.y === p2.y;\n\n}\n\n// check if two segments intersect\nfunction intersects( p1, q1, p2, q2 ) {\n\n\tconst o1 = sign( area( p1, q1, p2 ) );\n\tconst o2 = sign( area( p1, q1, q2 ) );\n\tconst o3 = sign( area( p2, q2, p1 ) );\n\tconst o4 = sign( area( p2, q2, q1 ) );\n\n\tif ( o1 !== o2 && o3 !== o4 ) return true; // general case\n\n\tif ( o1 === 0 && onSegment( p1, p2, q1 ) ) return true; // p1, q1 and p2 are collinear and p2 lies on p1q1\n\tif ( o2 === 0 && onSegment( p1, q2, q1 ) ) return true; // p1, q1 and q2 are collinear and q2 lies on p1q1\n\tif ( o3 === 0 && onSegment( p2, p1, q2 ) ) return true; // p2, q2 and p1 are collinear and p1 lies on p2q2\n\tif ( o4 === 0 && onSegment( p2, q1, q2 ) ) return true; // p2, q2 and q1 are collinear and q1 lies on p2q2\n\n\treturn false;\n\n}\n\n// for collinear points p, q, r, check if point q lies on segment pr\nfunction onSegment( p, q, r ) {\n\n\treturn q.x <= Math.max( p.x, r.x ) && q.x >= Math.min( p.x, r.x ) && q.y <= Math.max( p.y, r.y ) && q.y >= Math.min( p.y, r.y );\n\n}\n\nfunction sign( num ) {\n\n\treturn num > 0 ? 1 : num < 0 ? - 1 : 0;\n\n}\n\n// check if a polygon diagonal intersects any polygon segments\nfunction intersectsPolygon( a, b ) {\n\n\tlet p = a;\n\tdo {\n\n\t\tif ( p.i !== a.i && p.next.i !== a.i && p.i !== b.i && p.next.i !== b.i &&\n\t\t\tintersects( p, p.next, a, b ) ) return true;\n\t\tp = p.next;\n\n\t} while ( p !== a );\n\n\treturn false;\n\n}\n\n// check if a polygon diagonal is locally inside the polygon\nfunction locallyInside( a, b ) {\n\n\treturn area( a.prev, a, a.next ) < 0 ?\n\t\tarea( a, b, a.next ) >= 0 && area( a, a.prev, b ) >= 0 :\n\t\tarea( a, b, a.prev ) < 0 || area( a, a.next, b ) < 0;\n\n}\n\n// check if the middle point of a polygon diagonal is inside the polygon\nfunction middleInside( a, b ) {\n\n\tlet p = a,\n\t\tinside = false;\n\tconst px = ( a.x + b.x ) / 2,\n\t\tpy = ( a.y + b.y ) / 2;\n\tdo {\n\n\t\tif ( ( ( p.y > py ) !== ( p.next.y > py ) ) && p.next.y !== p.y &&\n\t\t\t( px < ( p.next.x - p.x ) * ( py - p.y ) / ( p.next.y - p.y ) + p.x ) )\n\t\t\tinside = ! inside;\n\t\tp = p.next;\n\n\t} while ( p !== a );\n\n\treturn inside;\n\n}\n\n// link two polygon vertices with a bridge; if the vertices belong to the same ring, it splits polygon into two;\n// if one belongs to the outer ring and another to a hole, it merges it into a single ring\nfunction splitPolygon( a, b ) {\n\n\tconst a2 = new Node( a.i, a.x, a.y ),\n\t\tb2 = new Node( b.i, b.x, b.y ),\n\t\tan = a.next,\n\t\tbp = b.prev;\n\n\ta.next = b;\n\tb.prev = a;\n\n\ta2.next = an;\n\tan.prev = a2;\n\n\tb2.next = a2;\n\ta2.prev = b2;\n\n\tbp.next = b2;\n\tb2.prev = bp;\n\n\treturn b2;\n\n}\n\n// create a node and optionally link it with previous one (in a circular doubly linked list)\nfunction insertNode( i, x, y, last ) {\n\n\tconst p = new Node( i, x, y );\n\n\tif ( ! last ) {\n\n\t\tp.prev = p;\n\t\tp.next = p;\n\n\t} else {\n\n\t\tp.next = last.next;\n\t\tp.prev = last;\n\t\tlast.next.prev = p;\n\t\tlast.next = p;\n\n\t}\n\n\treturn p;\n\n}\n\nfunction removeNode( p ) {\n\n\tp.next.prev = p.prev;\n\tp.prev.next = p.next;\n\n\tif ( p.prevZ ) p.prevZ.nextZ = p.nextZ;\n\tif ( p.nextZ ) p.nextZ.prevZ = p.prevZ;\n\n}\n\nfunction Node( i, x, y ) {\n\n\t// vertex index in coordinates array\n\tthis.i = i;\n\n\t// vertex coordinates\n\tthis.x = x;\n\tthis.y = y;\n\n\t// previous and next vertex nodes in a polygon ring\n\tthis.prev = null;\n\tthis.next = null;\n\n\t// z-order curve value\n\tthis.z = 0;\n\n\t// previous and next nodes in z-order\n\tthis.prevZ = null;\n\tthis.nextZ = null;\n\n\t// indicates whether this is a steiner point\n\tthis.steiner = false;\n\n}\n\nfunction signedArea( data, start, end, dim ) {\n\n\tlet sum = 0;\n\tfor ( let i = start, j = end - dim; i < end; i += dim ) {\n\n\t\tsum += ( data[ j ] - data[ i ] ) * ( data[ i + 1 ] + data[ j + 1 ] );\n\t\tj = i;\n\n\t}\n\n\treturn sum;\n\n}\n\nclass ShapeUtils {\n\n\t// calculate area of the contour polygon\n\n\tstatic area( contour ) {\n\n\t\tconst n = contour.length;\n\t\tlet a = 0.0;\n\n\t\tfor ( let p = n - 1, q = 0; q < n; p = q ++ ) {\n\n\t\t\ta += contour[ p ].x * contour[ q ].y - contour[ q ].x * contour[ p ].y;\n\n\t\t}\n\n\t\treturn a * 0.5;\n\n\t}\n\n\tstatic isClockWise( pts ) {\n\n\t\treturn ShapeUtils.area( pts ) < 0;\n\n\t}\n\n\tstatic triangulateShape( contour, holes ) {\n\n\t\tconst vertices = []; // flat array of vertices like [ x0,y0, x1,y1, x2,y2, ... ]\n\t\tconst holeIndices = []; // array of hole indices\n\t\tconst faces = []; // final array of vertex indices like [ [ a,b,d ], [ b,c,d ] ]\n\n\t\tremoveDupEndPts( contour );\n\t\taddContour( vertices, contour );\n\n\t\t//\n\n\t\tlet holeIndex = contour.length;\n\n\t\tholes.forEach( removeDupEndPts );\n\n\t\tfor ( let i = 0; i < holes.length; i ++ ) {\n\n\t\t\tholeIndices.push( holeIndex );\n\t\t\tholeIndex += holes[ i ].length;\n\t\t\taddContour( vertices, holes[ i ] );\n\n\t\t}\n\n\t\t//\n\n\t\tconst triangles = Earcut.triangulate( vertices, holeIndices );\n\n\t\t//\n\n\t\tfor ( let i = 0; i < triangles.length; i += 3 ) {\n\n\t\t\tfaces.push( triangles.slice( i, i + 3 ) );\n\n\t\t}\n\n\t\treturn faces;\n\n\t}\n\n}\n\nfunction removeDupEndPts( points ) {\n\n\tconst l = points.length;\n\n\tif ( l > 2 && points[ l - 1 ].equals( points[ 0 ] ) ) {\n\n\t\tpoints.pop();\n\n\t}\n\n}\n\nfunction addContour( vertices, contour ) {\n\n\tfor ( let i = 0; i < contour.length; i ++ ) {\n\n\t\tvertices.push( contour[ i ].x );\n\t\tvertices.push( contour[ i ].y );\n\n\t}\n\n}\n\n/**\n * Creates extruded geometry from a path shape.\n *\n * parameters = {\n *\n * curveSegments: , // number of points on the curves\n * steps: , // number of points for z-side extrusions / used for subdividing segments of extrude spline too\n * depth: , // Depth to extrude the shape\n *\n * bevelEnabled: , // turn on bevel\n * bevelThickness: , // how deep into the original shape bevel goes\n * bevelSize: , // how far from shape outline (including bevelOffset) is bevel\n * bevelOffset: , // how far from shape outline does bevel start\n * bevelSegments: , // number of bevel layers\n *\n * extrudePath: // curve to extrude shape along\n *\n * UVGenerator: // object that provides UV generator functions\n *\n * }\n */\n\n\nclass ExtrudeGeometry extends BufferGeometry {\n\n\tconstructor( shapes = new Shape( [ new Vector2( 0.5, 0.5 ), new Vector2( - 0.5, 0.5 ), new Vector2( - 0.5, - 0.5 ), new Vector2( 0.5, - 0.5 ) ] ), options = {} ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ExtrudeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tshapes: shapes,\n\t\t\toptions: options\n\t\t};\n\n\t\tshapes = Array.isArray( shapes ) ? shapes : [ shapes ];\n\n\t\tconst scope = this;\n\n\t\tconst verticesArray = [];\n\t\tconst uvArray = [];\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\t\t\taddShape( shape );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( verticesArray, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvArray, 2 ) );\n\n\t\tthis.computeVertexNormals();\n\n\t\t// functions\n\n\t\tfunction addShape( shape ) {\n\n\t\t\tconst placeholder = [];\n\n\t\t\t// options\n\n\t\t\tconst curveSegments = options.curveSegments !== undefined ? options.curveSegments : 12;\n\t\t\tconst steps = options.steps !== undefined ? options.steps : 1;\n\t\t\tconst depth = options.depth !== undefined ? options.depth : 1;\n\n\t\t\tlet bevelEnabled = options.bevelEnabled !== undefined ? options.bevelEnabled : true;\n\t\t\tlet bevelThickness = options.bevelThickness !== undefined ? options.bevelThickness : 0.2;\n\t\t\tlet bevelSize = options.bevelSize !== undefined ? options.bevelSize : bevelThickness - 0.1;\n\t\t\tlet bevelOffset = options.bevelOffset !== undefined ? options.bevelOffset : 0;\n\t\t\tlet bevelSegments = options.bevelSegments !== undefined ? options.bevelSegments : 3;\n\n\t\t\tconst extrudePath = options.extrudePath;\n\n\t\t\tconst uvgen = options.UVGenerator !== undefined ? options.UVGenerator : WorldUVGenerator;\n\n\t\t\t//\n\n\t\t\tlet extrudePts, extrudeByPath = false;\n\t\t\tlet splineTube, binormal, normal, position2;\n\n\t\t\tif ( extrudePath ) {\n\n\t\t\t\textrudePts = extrudePath.getSpacedPoints( steps );\n\n\t\t\t\textrudeByPath = true;\n\t\t\t\tbevelEnabled = false; // bevels not supported for path extrusion\n\n\t\t\t\t// SETUP TNB variables\n\n\t\t\t\t// TODO1 - have a .isClosed in spline?\n\n\t\t\t\tsplineTube = extrudePath.computeFrenetFrames( steps, false );\n\n\t\t\t\t// console.log(splineTube, 'splineTube', splineTube.normals.length, 'steps', steps, 'extrudePts', extrudePts.length);\n\n\t\t\t\tbinormal = new Vector3();\n\t\t\t\tnormal = new Vector3();\n\t\t\t\tposition2 = new Vector3();\n\n\t\t\t}\n\n\t\t\t// Safeguards if bevels are not enabled\n\n\t\t\tif ( ! bevelEnabled ) {\n\n\t\t\t\tbevelSegments = 0;\n\t\t\t\tbevelThickness = 0;\n\t\t\t\tbevelSize = 0;\n\t\t\t\tbevelOffset = 0;\n\n\t\t\t}\n\n\t\t\t// Variables initialization\n\n\t\t\tconst shapePoints = shape.extractPoints( curveSegments );\n\n\t\t\tlet vertices = shapePoints.shape;\n\t\t\tconst holes = shapePoints.holes;\n\n\t\t\tconst reverse = ! ShapeUtils.isClockWise( vertices );\n\n\t\t\tif ( reverse ) {\n\n\t\t\t\tvertices = vertices.reverse();\n\n\t\t\t\t// Maybe we should also check if holes are in the opposite direction, just to be safe ...\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\t\tif ( ShapeUtils.isClockWise( ahole ) ) {\n\n\t\t\t\t\t\tholes[ h ] = ahole.reverse();\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\tconst faces = ShapeUtils.triangulateShape( vertices, holes );\n\n\t\t\t/* Vertices */\n\n\t\t\tconst contour = vertices; // vertices has all points but contour has only points of circumference\n\n\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\tvertices = vertices.concat( ahole );\n\n\t\t\t}\n\n\n\t\t\tfunction scalePt2( pt, vec, size ) {\n\n\t\t\t\tif ( ! vec ) console.error( 'THREE.ExtrudeGeometry: vec does not exist' );\n\n\t\t\t\treturn pt.clone().addScaledVector( vec, size );\n\n\t\t\t}\n\n\t\t\tconst vlen = vertices.length, flen = faces.length;\n\n\n\t\t\t// Find directions for point movement\n\n\n\t\t\tfunction getBevelVec( inPt, inPrev, inNext ) {\n\n\t\t\t\t// computes for inPt the corresponding point inPt' on a new contour\n\t\t\t\t// shifted by 1 unit (length of normalized vector) to the left\n\t\t\t\t// if we walk along contour clockwise, this new contour is outside the old one\n\t\t\t\t//\n\t\t\t\t// inPt' is the intersection of the two lines parallel to the two\n\t\t\t\t// adjacent edges of inPt at a distance of 1 unit on the left side.\n\n\t\t\t\tlet v_trans_x, v_trans_y, shrink_by; // resulting translation vector for inPt\n\n\t\t\t\t// good reading for geometry algorithms (here: line-line intersection)\n\t\t\t\t// http://geomalgorithms.com/a05-_intersect-1.html\n\n\t\t\t\tconst v_prev_x = inPt.x - inPrev.x,\n\t\t\t\t\tv_prev_y = inPt.y - inPrev.y;\n\t\t\t\tconst v_next_x = inNext.x - inPt.x,\n\t\t\t\t\tv_next_y = inNext.y - inPt.y;\n\n\t\t\t\tconst v_prev_lensq = ( v_prev_x * v_prev_x + v_prev_y * v_prev_y );\n\n\t\t\t\t// check for collinear edges\n\t\t\t\tconst collinear0 = ( v_prev_x * v_next_y - v_prev_y * v_next_x );\n\n\t\t\t\tif ( Math.abs( collinear0 ) > Number.EPSILON ) {\n\n\t\t\t\t\t// not collinear\n\n\t\t\t\t\t// length of vectors for normalizing\n\n\t\t\t\t\tconst v_prev_len = Math.sqrt( v_prev_lensq );\n\t\t\t\t\tconst v_next_len = Math.sqrt( v_next_x * v_next_x + v_next_y * v_next_y );\n\n\t\t\t\t\t// shift adjacent points by unit vectors to the left\n\n\t\t\t\t\tconst ptPrevShift_x = ( inPrev.x - v_prev_y / v_prev_len );\n\t\t\t\t\tconst ptPrevShift_y = ( inPrev.y + v_prev_x / v_prev_len );\n\n\t\t\t\t\tconst ptNextShift_x = ( inNext.x - v_next_y / v_next_len );\n\t\t\t\t\tconst ptNextShift_y = ( inNext.y + v_next_x / v_next_len );\n\n\t\t\t\t\t// scaling factor for v_prev to intersection point\n\n\t\t\t\t\tconst sf = ( ( ptNextShift_x - ptPrevShift_x ) * v_next_y -\n\t\t\t\t\t\t\t( ptNextShift_y - ptPrevShift_y ) * v_next_x ) /\n\t\t\t\t\t\t( v_prev_x * v_next_y - v_prev_y * v_next_x );\n\n\t\t\t\t\t// vector from inPt to intersection point\n\n\t\t\t\t\tv_trans_x = ( ptPrevShift_x + v_prev_x * sf - inPt.x );\n\t\t\t\t\tv_trans_y = ( ptPrevShift_y + v_prev_y * sf - inPt.y );\n\n\t\t\t\t\t// Don't normalize!, otherwise sharp corners become ugly\n\t\t\t\t\t// but prevent crazy spikes\n\t\t\t\t\tconst v_trans_lensq = ( v_trans_x * v_trans_x + v_trans_y * v_trans_y );\n\t\t\t\t\tif ( v_trans_lensq <= 2 ) {\n\n\t\t\t\t\t\treturn new Vector2( v_trans_x, v_trans_y );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_trans_lensq / 2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// handle special case of collinear edges\n\n\t\t\t\t\tlet direction_eq = false; // assumes: opposite\n\n\t\t\t\t\tif ( v_prev_x > Number.EPSILON ) {\n\n\t\t\t\t\t\tif ( v_next_x > Number.EPSILON ) {\n\n\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( v_prev_x < - Number.EPSILON ) {\n\n\t\t\t\t\t\t\tif ( v_next_x < - Number.EPSILON ) {\n\n\t\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( Math.sign( v_prev_y ) === Math.sign( v_next_y ) ) {\n\n\t\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( direction_eq ) {\n\n\t\t\t\t\t\t// console.log(\"Warning: lines are a straight sequence\");\n\t\t\t\t\t\tv_trans_x = - v_prev_y;\n\t\t\t\t\t\tv_trans_y = v_prev_x;\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_prev_lensq );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// console.log(\"Warning: lines are a straight spike\");\n\t\t\t\t\t\tv_trans_x = v_prev_x;\n\t\t\t\t\t\tv_trans_y = v_prev_y;\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_prev_lensq / 2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\treturn new Vector2( v_trans_x / shrink_by, v_trans_y / shrink_by );\n\n\t\t\t}\n\n\n\t\t\tconst contourMovements = [];\n\n\t\t\tfor ( let i = 0, il = contour.length, j = il - 1, k = i + 1; i < il; i ++, j ++, k ++ ) {\n\n\t\t\t\tif ( j === il ) j = 0;\n\t\t\t\tif ( k === il ) k = 0;\n\n\t\t\t\t// (j)---(i)---(k)\n\t\t\t\t// console.log('i,j,k', i, j , k)\n\n\t\t\t\tcontourMovements[ i ] = getBevelVec( contour[ i ], contour[ j ], contour[ k ] );\n\n\t\t\t}\n\n\t\t\tconst holesMovements = [];\n\t\t\tlet oneHoleMovements, verticesMovements = contourMovements.concat();\n\n\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\toneHoleMovements = [];\n\n\t\t\t\tfor ( let i = 0, il = ahole.length, j = il - 1, k = i + 1; i < il; i ++, j ++, k ++ ) {\n\n\t\t\t\t\tif ( j === il ) j = 0;\n\t\t\t\t\tif ( k === il ) k = 0;\n\n\t\t\t\t\t// (j)---(i)---(k)\n\t\t\t\t\toneHoleMovements[ i ] = getBevelVec( ahole[ i ], ahole[ j ], ahole[ k ] );\n\n\t\t\t\t}\n\n\t\t\t\tholesMovements.push( oneHoleMovements );\n\t\t\t\tverticesMovements = verticesMovements.concat( oneHoleMovements );\n\n\t\t\t}\n\n\n\t\t\t// Loop bevelSegments, 1 for the front, 1 for the back\n\n\t\t\tfor ( let b = 0; b < bevelSegments; b ++ ) {\n\n\t\t\t\t//for ( b = bevelSegments; b > 0; b -- ) {\n\n\t\t\t\tconst t = b / bevelSegments;\n\t\t\t\tconst z = bevelThickness * Math.cos( t * Math.PI / 2 );\n\t\t\t\tconst bs = bevelSize * Math.sin( t * Math.PI / 2 ) + bevelOffset;\n\n\t\t\t\t// contract shape\n\n\t\t\t\tfor ( let i = 0, il = contour.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst vert = scalePt2( contour[ i ], contourMovements[ i ], bs );\n\n\t\t\t\t\tv( vert.x, vert.y, - z );\n\n\t\t\t\t}\n\n\t\t\t\t// expand holes\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\toneHoleMovements = holesMovements[ h ];\n\n\t\t\t\t\tfor ( let i = 0, il = ahole.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst vert = scalePt2( ahole[ i ], oneHoleMovements[ i ], bs );\n\n\t\t\t\t\t\tv( vert.x, vert.y, - z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst bs = bevelSize + bevelOffset;\n\n\t\t\t// Back facing vertices\n\n\t\t\tfor ( let i = 0; i < vlen; i ++ ) {\n\n\t\t\t\tconst vert = bevelEnabled ? scalePt2( vertices[ i ], verticesMovements[ i ], bs ) : vertices[ i ];\n\n\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\tv( vert.x, vert.y, 0 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// v( vert.x, vert.y + extrudePts[ 0 ].y, extrudePts[ 0 ].x );\n\n\t\t\t\t\tnormal.copy( splineTube.normals[ 0 ] ).multiplyScalar( vert.x );\n\t\t\t\t\tbinormal.copy( splineTube.binormals[ 0 ] ).multiplyScalar( vert.y );\n\n\t\t\t\t\tposition2.copy( extrudePts[ 0 ] ).add( normal ).add( binormal );\n\n\t\t\t\t\tv( position2.x, position2.y, position2.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Add stepped vertices...\n\t\t\t// Including front facing vertices\n\n\t\t\tfor ( let s = 1; s <= steps; s ++ ) {\n\n\t\t\t\tfor ( let i = 0; i < vlen; i ++ ) {\n\n\t\t\t\t\tconst vert = bevelEnabled ? scalePt2( vertices[ i ], verticesMovements[ i ], bs ) : vertices[ i ];\n\n\t\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\t\tv( vert.x, vert.y, depth / steps * s );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// v( vert.x, vert.y + extrudePts[ s - 1 ].y, extrudePts[ s - 1 ].x );\n\n\t\t\t\t\t\tnormal.copy( splineTube.normals[ s ] ).multiplyScalar( vert.x );\n\t\t\t\t\t\tbinormal.copy( splineTube.binormals[ s ] ).multiplyScalar( vert.y );\n\n\t\t\t\t\t\tposition2.copy( extrudePts[ s ] ).add( normal ).add( binormal );\n\n\t\t\t\t\t\tv( position2.x, position2.y, position2.z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\t// Add bevel segments planes\n\n\t\t\t//for ( b = 1; b <= bevelSegments; b ++ ) {\n\t\t\tfor ( let b = bevelSegments - 1; b >= 0; b -- ) {\n\n\t\t\t\tconst t = b / bevelSegments;\n\t\t\t\tconst z = bevelThickness * Math.cos( t * Math.PI / 2 );\n\t\t\t\tconst bs = bevelSize * Math.sin( t * Math.PI / 2 ) + bevelOffset;\n\n\t\t\t\t// contract shape\n\n\t\t\t\tfor ( let i = 0, il = contour.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst vert = scalePt2( contour[ i ], contourMovements[ i ], bs );\n\t\t\t\t\tv( vert.x, vert.y, depth + z );\n\n\t\t\t\t}\n\n\t\t\t\t// expand holes\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\toneHoleMovements = holesMovements[ h ];\n\n\t\t\t\t\tfor ( let i = 0, il = ahole.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst vert = scalePt2( ahole[ i ], oneHoleMovements[ i ], bs );\n\n\t\t\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\t\t\tv( vert.x, vert.y, depth + z );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tv( vert.x, vert.y + extrudePts[ steps - 1 ].y, extrudePts[ steps - 1 ].x + z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t/* Faces */\n\n\t\t\t// Top and bottom faces\n\n\t\t\tbuildLidFaces();\n\n\t\t\t// Sides faces\n\n\t\t\tbuildSideFaces();\n\n\n\t\t\t///// Internal functions\n\n\t\t\tfunction buildLidFaces() {\n\n\t\t\t\tconst start = verticesArray.length / 3;\n\n\t\t\t\tif ( bevelEnabled ) {\n\n\t\t\t\t\tlet layer = 0; // steps + 1\n\t\t\t\t\tlet offset = vlen * layer;\n\n\t\t\t\t\t// Bottom faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 2 ] + offset, face[ 1 ] + offset, face[ 0 ] + offset );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tlayer = steps + bevelSegments * 2;\n\t\t\t\t\toffset = vlen * layer;\n\n\t\t\t\t\t// Top faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 0 ] + offset, face[ 1 ] + offset, face[ 2 ] + offset );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// Bottom faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 2 ], face[ 1 ], face[ 0 ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// Top faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 0 ] + vlen * steps, face[ 1 ] + vlen * steps, face[ 2 ] + vlen * steps );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tscope.addGroup( start, verticesArray.length / 3 - start, 0 );\n\n\t\t\t}\n\n\t\t\t// Create faces for the z-sides of the shape\n\n\t\t\tfunction buildSideFaces() {\n\n\t\t\t\tconst start = verticesArray.length / 3;\n\t\t\t\tlet layeroffset = 0;\n\t\t\t\tsidewalls( contour, layeroffset );\n\t\t\t\tlayeroffset += contour.length;\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\tsidewalls( ahole, layeroffset );\n\n\t\t\t\t\t//, true\n\t\t\t\t\tlayeroffset += ahole.length;\n\n\t\t\t\t}\n\n\n\t\t\t\tscope.addGroup( start, verticesArray.length / 3 - start, 1 );\n\n\n\t\t\t}\n\n\t\t\tfunction sidewalls( contour, layeroffset ) {\n\n\t\t\t\tlet i = contour.length;\n\n\t\t\t\twhile ( -- i >= 0 ) {\n\n\t\t\t\t\tconst j = i;\n\t\t\t\t\tlet k = i - 1;\n\t\t\t\t\tif ( k < 0 ) k = contour.length - 1;\n\n\t\t\t\t\t//console.log('b', i,j, i-1, k,vertices.length);\n\n\t\t\t\t\tfor ( let s = 0, sl = ( steps + bevelSegments * 2 ); s < sl; s ++ ) {\n\n\t\t\t\t\t\tconst slen1 = vlen * s;\n\t\t\t\t\t\tconst slen2 = vlen * ( s + 1 );\n\n\t\t\t\t\t\tconst a = layeroffset + j + slen1,\n\t\t\t\t\t\t\tb = layeroffset + k + slen1,\n\t\t\t\t\t\t\tc = layeroffset + k + slen2,\n\t\t\t\t\t\t\td = layeroffset + j + slen2;\n\n\t\t\t\t\t\tf4( a, b, c, d );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tfunction v( x, y, z ) {\n\n\t\t\t\tplaceholder.push( x );\n\t\t\t\tplaceholder.push( y );\n\t\t\t\tplaceholder.push( z );\n\n\t\t\t}\n\n\n\t\t\tfunction f3( a, b, c ) {\n\n\t\t\t\taddVertex( a );\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( c );\n\n\t\t\t\tconst nextIndex = verticesArray.length / 3;\n\t\t\t\tconst uvs = uvgen.generateTopUV( scope, verticesArray, nextIndex - 3, nextIndex - 2, nextIndex - 1 );\n\n\t\t\t\taddUV( uvs[ 0 ] );\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 2 ] );\n\n\t\t\t}\n\n\t\t\tfunction f4( a, b, c, d ) {\n\n\t\t\t\taddVertex( a );\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( d );\n\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( c );\n\t\t\t\taddVertex( d );\n\n\n\t\t\t\tconst nextIndex = verticesArray.length / 3;\n\t\t\t\tconst uvs = uvgen.generateSideWallUV( scope, verticesArray, nextIndex - 6, nextIndex - 3, nextIndex - 2, nextIndex - 1 );\n\n\t\t\t\taddUV( uvs[ 0 ] );\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 3 ] );\n\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 2 ] );\n\t\t\t\taddUV( uvs[ 3 ] );\n\n\t\t\t}\n\n\t\t\tfunction addVertex( index ) {\n\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 0 ] );\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 1 ] );\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 2 ] );\n\n\t\t\t}\n\n\n\t\t\tfunction addUV( vector2 ) {\n\n\t\t\t\tuvArray.push( vector2.x );\n\t\t\t\tuvArray.push( vector2.y );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tconst shapes = this.parameters.shapes;\n\t\tconst options = this.parameters.options;\n\n\t\treturn toJSON$1( shapes, options, data );\n\n\t}\n\n\tstatic fromJSON( data, shapes ) {\n\n\t\tconst geometryShapes = [];\n\n\t\tfor ( let j = 0, jl = data.shapes.length; j < jl; j ++ ) {\n\n\t\t\tconst shape = shapes[ data.shapes[ j ] ];\n\n\t\t\tgeometryShapes.push( shape );\n\n\t\t}\n\n\t\tconst extrudePath = data.options.extrudePath;\n\n\t\tif ( extrudePath !== undefined ) {\n\n\t\t\tdata.options.extrudePath = new Curves[ extrudePath.type ]().fromJSON( extrudePath );\n\n\t\t}\n\n\t\treturn new ExtrudeGeometry( geometryShapes, data.options );\n\n\t}\n\n}\n\nconst WorldUVGenerator = {\n\n\tgenerateTopUV: function ( geometry, vertices, indexA, indexB, indexC ) {\n\n\t\tconst a_x = vertices[ indexA * 3 ];\n\t\tconst a_y = vertices[ indexA * 3 + 1 ];\n\t\tconst b_x = vertices[ indexB * 3 ];\n\t\tconst b_y = vertices[ indexB * 3 + 1 ];\n\t\tconst c_x = vertices[ indexC * 3 ];\n\t\tconst c_y = vertices[ indexC * 3 + 1 ];\n\n\t\treturn [\n\t\t\tnew Vector2( a_x, a_y ),\n\t\t\tnew Vector2( b_x, b_y ),\n\t\t\tnew Vector2( c_x, c_y )\n\t\t];\n\n\t},\n\n\tgenerateSideWallUV: function ( geometry, vertices, indexA, indexB, indexC, indexD ) {\n\n\t\tconst a_x = vertices[ indexA * 3 ];\n\t\tconst a_y = vertices[ indexA * 3 + 1 ];\n\t\tconst a_z = vertices[ indexA * 3 + 2 ];\n\t\tconst b_x = vertices[ indexB * 3 ];\n\t\tconst b_y = vertices[ indexB * 3 + 1 ];\n\t\tconst b_z = vertices[ indexB * 3 + 2 ];\n\t\tconst c_x = vertices[ indexC * 3 ];\n\t\tconst c_y = vertices[ indexC * 3 + 1 ];\n\t\tconst c_z = vertices[ indexC * 3 + 2 ];\n\t\tconst d_x = vertices[ indexD * 3 ];\n\t\tconst d_y = vertices[ indexD * 3 + 1 ];\n\t\tconst d_z = vertices[ indexD * 3 + 2 ];\n\n\t\tif ( Math.abs( a_y - b_y ) < Math.abs( a_x - b_x ) ) {\n\n\t\t\treturn [\n\t\t\t\tnew Vector2( a_x, 1 - a_z ),\n\t\t\t\tnew Vector2( b_x, 1 - b_z ),\n\t\t\t\tnew Vector2( c_x, 1 - c_z ),\n\t\t\t\tnew Vector2( d_x, 1 - d_z )\n\t\t\t];\n\n\t\t} else {\n\n\t\t\treturn [\n\t\t\t\tnew Vector2( a_y, 1 - a_z ),\n\t\t\t\tnew Vector2( b_y, 1 - b_z ),\n\t\t\t\tnew Vector2( c_y, 1 - c_z ),\n\t\t\t\tnew Vector2( d_y, 1 - d_z )\n\t\t\t];\n\n\t\t}\n\n\t}\n\n};\n\nfunction toJSON$1( shapes, options, data ) {\n\n\tdata.shapes = [];\n\n\tif ( Array.isArray( shapes ) ) {\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\n\t\t\tdata.shapes.push( shape.uuid );\n\n\t\t}\n\n\t} else {\n\n\t\tdata.shapes.push( shapes.uuid );\n\n\t}\n\n\tdata.options = Object.assign( {}, options );\n\n\tif ( options.extrudePath !== undefined ) data.options.extrudePath = options.extrudePath.toJSON();\n\n\treturn data;\n\n}\n\nclass IcosahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst t = ( 1 + Math.sqrt( 5 ) ) / 2;\n\n\t\tconst vertices = [\n\t\t\t- 1, t, 0, \t1, t, 0, \t- 1, - t, 0, \t1, - t, 0,\n\t\t\t0, - 1, t, \t0, 1, t,\t0, - 1, - t, \t0, 1, - t,\n\t\t\tt, 0, - 1, \tt, 0, 1, \t- t, 0, - 1, \t- t, 0, 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t0, 11, 5, \t0, 5, 1, \t0, 1, 7, \t0, 7, 10, \t0, 10, 11,\n\t\t\t1, 5, 9, \t5, 11, 4,\t11, 10, 2,\t10, 7, 6,\t7, 1, 8,\n\t\t\t3, 9, 4, \t3, 4, 2,\t3, 2, 6,\t3, 6, 8,\t3, 8, 9,\n\t\t\t4, 9, 5, \t2, 4, 11,\t6, 2, 10,\t8, 6, 7,\t9, 8, 1\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'IcosahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new IcosahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass OctahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst vertices = [\n\t\t\t1, 0, 0, \t- 1, 0, 0,\t0, 1, 0,\n\t\t\t0, - 1, 0, \t0, 0, 1,\t0, 0, - 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t0, 2, 4,\t0, 4, 3,\t0, 3, 5,\n\t\t\t0, 5, 2,\t1, 2, 5,\t1, 5, 3,\n\t\t\t1, 3, 4,\t1, 4, 2\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'OctahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new OctahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass RingGeometry extends BufferGeometry {\n\n\tconstructor( innerRadius = 0.5, outerRadius = 1, thetaSegments = 32, phiSegments = 1, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'RingGeometry';\n\n\t\tthis.parameters = {\n\t\t\tinnerRadius: innerRadius,\n\t\t\touterRadius: outerRadius,\n\t\t\tthetaSegments: thetaSegments,\n\t\t\tphiSegments: phiSegments,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tthetaSegments = Math.max( 3, thetaSegments );\n\t\tphiSegments = Math.max( 1, phiSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// some helper variables\n\n\t\tlet radius = innerRadius;\n\t\tconst radiusStep = ( ( outerRadius - innerRadius ) / phiSegments );\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let j = 0; j <= phiSegments; j ++ ) {\n\n\t\t\tfor ( let i = 0; i <= thetaSegments; i ++ ) {\n\n\t\t\t\t// values are generate from the inside of the ring to the outside\n\n\t\t\t\tconst segment = thetaStart + i / thetaSegments * thetaLength;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = radius * Math.cos( segment );\n\t\t\t\tvertex.y = radius * Math.sin( segment );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = ( vertex.x / outerRadius + 1 ) / 2;\n\t\t\t\tuv.y = ( vertex.y / outerRadius + 1 ) / 2;\n\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t}\n\n\t\t\t// increase the radius for next row of vertices\n\n\t\t\tradius += radiusStep;\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let j = 0; j < phiSegments; j ++ ) {\n\n\t\t\tconst thetaSegmentLevel = j * ( thetaSegments + 1 );\n\n\t\t\tfor ( let i = 0; i < thetaSegments; i ++ ) {\n\n\t\t\t\tconst segment = i + thetaSegmentLevel;\n\n\t\t\t\tconst a = segment;\n\t\t\t\tconst b = segment + thetaSegments + 1;\n\t\t\t\tconst c = segment + thetaSegments + 2;\n\t\t\t\tconst d = segment + 1;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new RingGeometry( data.innerRadius, data.outerRadius, data.thetaSegments, data.phiSegments, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass ShapeGeometry extends BufferGeometry {\n\n\tconstructor( shapes = new Shape( [ new Vector2( 0, 0.5 ), new Vector2( - 0.5, - 0.5 ), new Vector2( 0.5, - 0.5 ) ] ), curveSegments = 12 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ShapeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tshapes: shapes,\n\t\t\tcurveSegments: curveSegments\n\t\t};\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet groupStart = 0;\n\t\tlet groupCount = 0;\n\n\t\t// allow single and array values for \"shapes\" parameter\n\n\t\tif ( Array.isArray( shapes ) === false ) {\n\n\t\t\taddShape( shapes );\n\n\t\t} else {\n\n\t\t\tfor ( let i = 0; i < shapes.length; i ++ ) {\n\n\t\t\t\taddShape( shapes[ i ] );\n\n\t\t\t\tthis.addGroup( groupStart, groupCount, i ); // enables MultiMaterial support\n\n\t\t\t\tgroupStart += groupCount;\n\t\t\t\tgroupCount = 0;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\n\t\t// helper functions\n\n\t\tfunction addShape( shape ) {\n\n\t\t\tconst indexOffset = vertices.length / 3;\n\t\t\tconst points = shape.extractPoints( curveSegments );\n\n\t\t\tlet shapeVertices = points.shape;\n\t\t\tconst shapeHoles = points.holes;\n\n\t\t\t// check direction of vertices\n\n\t\t\tif ( ShapeUtils.isClockWise( shapeVertices ) === false ) {\n\n\t\t\t\tshapeVertices = shapeVertices.reverse();\n\n\t\t\t}\n\n\t\t\tfor ( let i = 0, l = shapeHoles.length; i < l; i ++ ) {\n\n\t\t\t\tconst shapeHole = shapeHoles[ i ];\n\n\t\t\t\tif ( ShapeUtils.isClockWise( shapeHole ) === true ) {\n\n\t\t\t\t\tshapeHoles[ i ] = shapeHole.reverse();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst faces = ShapeUtils.triangulateShape( shapeVertices, shapeHoles );\n\n\t\t\t// join vertices of inner and outer paths to a single array\n\n\t\t\tfor ( let i = 0, l = shapeHoles.length; i < l; i ++ ) {\n\n\t\t\t\tconst shapeHole = shapeHoles[ i ];\n\t\t\t\tshapeVertices = shapeVertices.concat( shapeHole );\n\n\t\t\t}\n\n\t\t\t// vertices, normals, uvs\n\n\t\t\tfor ( let i = 0, l = shapeVertices.length; i < l; i ++ ) {\n\n\t\t\t\tconst vertex = shapeVertices[ i ];\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, 0 );\n\t\t\t\tnormals.push( 0, 0, 1 );\n\t\t\t\tuvs.push( vertex.x, vertex.y ); // world uvs\n\n\t\t\t}\n\n\t\t\t// indices\n\n\t\t\tfor ( let i = 0, l = faces.length; i < l; i ++ ) {\n\n\t\t\t\tconst face = faces[ i ];\n\n\t\t\t\tconst a = face[ 0 ] + indexOffset;\n\t\t\t\tconst b = face[ 1 ] + indexOffset;\n\t\t\t\tconst c = face[ 2 ] + indexOffset;\n\n\t\t\t\tindices.push( a, b, c );\n\t\t\t\tgroupCount += 3;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tconst shapes = this.parameters.shapes;\n\n\t\treturn toJSON( shapes, data );\n\n\t}\n\n\tstatic fromJSON( data, shapes ) {\n\n\t\tconst geometryShapes = [];\n\n\t\tfor ( let j = 0, jl = data.shapes.length; j < jl; j ++ ) {\n\n\t\t\tconst shape = shapes[ data.shapes[ j ] ];\n\n\t\t\tgeometryShapes.push( shape );\n\n\t\t}\n\n\t\treturn new ShapeGeometry( geometryShapes, data.curveSegments );\n\n\t}\n\n}\n\nfunction toJSON( shapes, data ) {\n\n\tdata.shapes = [];\n\n\tif ( Array.isArray( shapes ) ) {\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\n\t\t\tdata.shapes.push( shape.uuid );\n\n\t\t}\n\n\t} else {\n\n\t\tdata.shapes.push( shapes.uuid );\n\n\t}\n\n\treturn data;\n\n}\n\nclass SphereGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, widthSegments = 32, heightSegments = 16, phiStart = 0, phiLength = Math.PI * 2, thetaStart = 0, thetaLength = Math.PI ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'SphereGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\tphiStart: phiStart,\n\t\t\tphiLength: phiLength,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\twidthSegments = Math.max( 3, Math.floor( widthSegments ) );\n\t\theightSegments = Math.max( 2, Math.floor( heightSegments ) );\n\n\t\tconst thetaEnd = Math.min( thetaStart + thetaLength, Math.PI );\n\n\t\tlet index = 0;\n\t\tconst grid = [];\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let iy = 0; iy <= heightSegments; iy ++ ) {\n\n\t\t\tconst verticesRow = [];\n\n\t\t\tconst v = iy / heightSegments;\n\n\t\t\t// special case for the poles\n\n\t\t\tlet uOffset = 0;\n\n\t\t\tif ( iy === 0 && thetaStart === 0 ) {\n\n\t\t\t\tuOffset = 0.5 / widthSegments;\n\n\t\t\t} else if ( iy === heightSegments && thetaEnd === Math.PI ) {\n\n\t\t\t\tuOffset = - 0.5 / widthSegments;\n\n\t\t\t}\n\n\t\t\tfor ( let ix = 0; ix <= widthSegments; ix ++ ) {\n\n\t\t\t\tconst u = ix / widthSegments;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = - radius * Math.cos( phiStart + u * phiLength ) * Math.sin( thetaStart + v * thetaLength );\n\t\t\t\tvertex.y = radius * Math.cos( thetaStart + v * thetaLength );\n\t\t\t\tvertex.z = radius * Math.sin( phiStart + u * phiLength ) * Math.sin( thetaStart + v * thetaLength );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormal.copy( vertex ).normalize();\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( u + uOffset, 1 - v );\n\n\t\t\t\tverticesRow.push( index ++ );\n\n\t\t\t}\n\n\t\t\tgrid.push( verticesRow );\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let iy = 0; iy < heightSegments; iy ++ ) {\n\n\t\t\tfor ( let ix = 0; ix < widthSegments; ix ++ ) {\n\n\t\t\t\tconst a = grid[ iy ][ ix + 1 ];\n\t\t\t\tconst b = grid[ iy ][ ix ];\n\t\t\t\tconst c = grid[ iy + 1 ][ ix ];\n\t\t\t\tconst d = grid[ iy + 1 ][ ix + 1 ];\n\n\t\t\t\tif ( iy !== 0 || thetaStart > 0 ) indices.push( a, b, d );\n\t\t\t\tif ( iy !== heightSegments - 1 || thetaEnd < Math.PI ) indices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new SphereGeometry( data.radius, data.widthSegments, data.heightSegments, data.phiStart, data.phiLength, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass TetrahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst vertices = [\n\t\t\t1, 1, 1, \t- 1, - 1, 1, \t- 1, 1, - 1, \t1, - 1, - 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t2, 1, 0, \t0, 3, 2,\t1, 3, 0,\t2, 3, 1\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'TetrahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TetrahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass TorusGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, tube = 0.4, radialSegments = 12, tubularSegments = 48, arc = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TorusGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\ttube: tube,\n\t\t\tradialSegments: radialSegments,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tarc: arc\n\t\t};\n\n\t\tradialSegments = Math.floor( radialSegments );\n\t\ttubularSegments = Math.floor( tubularSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst center = new Vector3();\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\tfor ( let i = 0; i <= tubularSegments; i ++ ) {\n\n\t\t\t\tconst u = i / tubularSegments * arc;\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = ( radius + tube * Math.cos( v ) ) * Math.cos( u );\n\t\t\t\tvertex.y = ( radius + tube * Math.cos( v ) ) * Math.sin( u );\n\t\t\t\tvertex.z = tube * Math.sin( v );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tcenter.x = radius * Math.cos( u );\n\t\t\t\tcenter.y = radius * Math.sin( u );\n\t\t\t\tnormal.subVectors( vertex, center ).normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( i / tubularSegments );\n\t\t\t\tuvs.push( j / radialSegments );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate indices\n\n\t\tfor ( let j = 1; j <= radialSegments; j ++ ) {\n\n\t\t\tfor ( let i = 1; i <= tubularSegments; i ++ ) {\n\n\t\t\t\t// indices\n\n\t\t\t\tconst a = ( tubularSegments + 1 ) * j + i - 1;\n\t\t\t\tconst b = ( tubularSegments + 1 ) * ( j - 1 ) + i - 1;\n\t\t\t\tconst c = ( tubularSegments + 1 ) * ( j - 1 ) + i;\n\t\t\t\tconst d = ( tubularSegments + 1 ) * j + i;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TorusGeometry( data.radius, data.tube, data.radialSegments, data.tubularSegments, data.arc );\n\n\t}\n\n}\n\nclass TorusKnotGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, tube = 0.4, tubularSegments = 64, radialSegments = 8, p = 2, q = 3 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TorusKnotGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\ttube: tube,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tradialSegments: radialSegments,\n\t\t\tp: p,\n\t\t\tq: q\n\t\t};\n\n\t\ttubularSegments = Math.floor( tubularSegments );\n\t\tradialSegments = Math.floor( radialSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\tconst P1 = new Vector3();\n\t\tconst P2 = new Vector3();\n\n\t\tconst B = new Vector3();\n\t\tconst T = new Vector3();\n\t\tconst N = new Vector3();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let i = 0; i <= tubularSegments; ++ i ) {\n\n\t\t\t// the radian \"u\" is used to calculate the position on the torus curve of the current tubular segment\n\n\t\t\tconst u = i / tubularSegments * p * Math.PI * 2;\n\n\t\t\t// now we calculate two points. P1 is our current position on the curve, P2 is a little farther ahead.\n\t\t\t// these points are used to create a special \"coordinate space\", which is necessary to calculate the correct vertex positions\n\n\t\t\tcalculatePositionOnCurve( u, p, q, radius, P1 );\n\t\t\tcalculatePositionOnCurve( u + 0.01, p, q, radius, P2 );\n\n\t\t\t// calculate orthonormal basis\n\n\t\t\tT.subVectors( P2, P1 );\n\t\t\tN.addVectors( P2, P1 );\n\t\t\tB.crossVectors( T, N );\n\t\t\tN.crossVectors( B, T );\n\n\t\t\t// normalize B, N. T can be ignored, we don't use it\n\n\t\t\tB.normalize();\n\t\t\tN.normalize();\n\n\t\t\tfor ( let j = 0; j <= radialSegments; ++ j ) {\n\n\t\t\t\t// now calculate the vertices. they are nothing more than an extrusion of the torus curve.\n\t\t\t\t// because we extrude a shape in the xy-plane, there is no need to calculate a z-value.\n\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\t\t\t\tconst cx = - tube * Math.cos( v );\n\t\t\t\tconst cy = tube * Math.sin( v );\n\n\t\t\t\t// now calculate the final vertex position.\n\t\t\t\t// first we orient the extrusion with our basis vectors, then we add it to the current position on the curve\n\n\t\t\t\tvertex.x = P1.x + ( cx * N.x + cy * B.x );\n\t\t\t\tvertex.y = P1.y + ( cx * N.y + cy * B.y );\n\t\t\t\tvertex.z = P1.z + ( cx * N.z + cy * B.z );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal (P1 is always the center/origin of the extrusion, thus we can use it to calculate the normal)\n\n\t\t\t\tnormal.subVectors( vertex, P1 ).normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( i / tubularSegments );\n\t\t\t\tuvs.push( j / radialSegments );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate indices\n\n\t\tfor ( let j = 1; j <= tubularSegments; j ++ ) {\n\n\t\t\tfor ( let i = 1; i <= radialSegments; i ++ ) {\n\n\t\t\t\t// indices\n\n\t\t\t\tconst a = ( radialSegments + 1 ) * ( j - 1 ) + ( i - 1 );\n\t\t\t\tconst b = ( radialSegments + 1 ) * j + ( i - 1 );\n\t\t\t\tconst c = ( radialSegments + 1 ) * j + i;\n\t\t\t\tconst d = ( radialSegments + 1 ) * ( j - 1 ) + i;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\t// this function calculates the current position on the torus curve\n\n\t\tfunction calculatePositionOnCurve( u, p, q, radius, position ) {\n\n\t\t\tconst cu = Math.cos( u );\n\t\t\tconst su = Math.sin( u );\n\t\t\tconst quOverP = q / p * u;\n\t\t\tconst cs = Math.cos( quOverP );\n\n\t\t\tposition.x = radius * ( 2 + cs ) * 0.5 * cu;\n\t\t\tposition.y = radius * ( 2 + cs ) * su * 0.5;\n\t\t\tposition.z = radius * Math.sin( quOverP ) * 0.5;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TorusKnotGeometry( data.radius, data.tube, data.tubularSegments, data.radialSegments, data.p, data.q );\n\n\t}\n\n}\n\nclass TubeGeometry extends BufferGeometry {\n\n\tconstructor( path = new QuadraticBezierCurve3( new Vector3( - 1, - 1, 0 ), new Vector3( - 1, 1, 0 ), new Vector3( 1, 1, 0 ) ), tubularSegments = 64, radius = 1, radialSegments = 8, closed = false ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TubeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tpath: path,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tradius: radius,\n\t\t\tradialSegments: radialSegments,\n\t\t\tclosed: closed\n\t\t};\n\n\t\tconst frames = path.computeFrenetFrames( tubularSegments, closed );\n\n\t\t// expose internals\n\n\t\tthis.tangents = frames.tangents;\n\t\tthis.normals = frames.normals;\n\t\tthis.binormals = frames.binormals;\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\t\tconst uv = new Vector2();\n\t\tlet P = new Vector3();\n\n\t\t// buffer\n\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\t\tconst indices = [];\n\n\t\t// create buffer data\n\n\t\tgenerateBufferData();\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\t// functions\n\n\t\tfunction generateBufferData() {\n\n\t\t\tfor ( let i = 0; i < tubularSegments; i ++ ) {\n\n\t\t\t\tgenerateSegment( i );\n\n\t\t\t}\n\n\t\t\t// if the geometry is not closed, generate the last row of vertices and normals\n\t\t\t// at the regular position on the given path\n\t\t\t//\n\t\t\t// if the geometry is closed, duplicate the first row of vertices and normals (uvs will differ)\n\n\t\t\tgenerateSegment( ( closed === false ) ? tubularSegments : 0 );\n\n\t\t\t// uvs are generated in a separate function.\n\t\t\t// this makes it easy compute correct values for closed geometries\n\n\t\t\tgenerateUVs();\n\n\t\t\t// finally create faces\n\n\t\t\tgenerateIndices();\n\n\t\t}\n\n\t\tfunction generateSegment( i ) {\n\n\t\t\t// we use getPointAt to sample evenly distributed points from the given path\n\n\t\t\tP = path.getPointAt( i / tubularSegments, P );\n\n\t\t\t// retrieve corresponding normal and binormal\n\n\t\t\tconst N = frames.normals[ i ];\n\t\t\tconst B = frames.binormals[ i ];\n\n\t\t\t// generate normals and vertices for the current segment\n\n\t\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\n\t\t\t\tconst sin = Math.sin( v );\n\t\t\t\tconst cos = - Math.cos( v );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormal.x = ( cos * N.x + sin * B.x );\n\t\t\t\tnormal.y = ( cos * N.y + sin * B.y );\n\t\t\t\tnormal.z = ( cos * N.z + sin * B.z );\n\t\t\t\tnormal.normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = P.x + radius * normal.x;\n\t\t\t\tvertex.y = P.y + radius * normal.y;\n\t\t\t\tvertex.z = P.z + radius * normal.z;\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateIndices() {\n\n\t\t\tfor ( let j = 1; j <= tubularSegments; j ++ ) {\n\n\t\t\t\tfor ( let i = 1; i <= radialSegments; i ++ ) {\n\n\t\t\t\t\tconst a = ( radialSegments + 1 ) * ( j - 1 ) + ( i - 1 );\n\t\t\t\t\tconst b = ( radialSegments + 1 ) * j + ( i - 1 );\n\t\t\t\t\tconst c = ( radialSegments + 1 ) * j + i;\n\t\t\t\t\tconst d = ( radialSegments + 1 ) * ( j - 1 ) + i;\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateUVs() {\n\n\t\t\tfor ( let i = 0; i <= tubularSegments; i ++ ) {\n\n\t\t\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\t\t\tuv.x = i / tubularSegments;\n\t\t\t\t\tuv.y = j / radialSegments;\n\n\t\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.path = this.parameters.path.toJSON();\n\n\t\treturn data;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\t// This only works for built-in curves (e.g. CatmullRomCurve3).\n\t\t// User defined curves or instances of CurvePath will not be deserialized.\n\t\treturn new TubeGeometry(\n\t\t\tnew Curves[ data.path.type ]().fromJSON( data.path ),\n\t\t\tdata.tubularSegments,\n\t\t\tdata.radius,\n\t\t\tdata.radialSegments,\n\t\t\tdata.closed\n\t\t);\n\n\t}\n\n}\n\nclass WireframeGeometry extends BufferGeometry {\n\n\tconstructor( geometry = null ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'WireframeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tgeometry: geometry\n\t\t};\n\n\t\tif ( geometry !== null ) {\n\n\t\t\t// buffer\n\n\t\t\tconst vertices = [];\n\t\t\tconst edges = new Set();\n\n\t\t\t// helper variables\n\n\t\t\tconst start = new Vector3();\n\t\t\tconst end = new Vector3();\n\n\t\t\tif ( geometry.index !== null ) {\n\n\t\t\t\t// indexed BufferGeometry\n\n\t\t\t\tconst position = geometry.attributes.position;\n\t\t\t\tconst indices = geometry.index;\n\t\t\t\tlet groups = geometry.groups;\n\n\t\t\t\tif ( groups.length === 0 ) {\n\n\t\t\t\t\tgroups = [ { start: 0, count: indices.count, materialIndex: 0 } ];\n\n\t\t\t\t}\n\n\t\t\t\t// create a data structure that contains all edges without duplicates\n\n\t\t\t\tfor ( let o = 0, ol = groups.length; o < ol; ++ o ) {\n\n\t\t\t\t\tconst group = groups[ o ];\n\n\t\t\t\t\tconst groupStart = group.start;\n\t\t\t\t\tconst groupCount = group.count;\n\n\t\t\t\t\tfor ( let i = groupStart, l = ( groupStart + groupCount ); i < l; i += 3 ) {\n\n\t\t\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t\t\tconst index1 = indices.getX( i + j );\n\t\t\t\t\t\t\tconst index2 = indices.getX( i + ( j + 1 ) % 3 );\n\n\t\t\t\t\t\t\tstart.fromBufferAttribute( position, index1 );\n\t\t\t\t\t\t\tend.fromBufferAttribute( position, index2 );\n\n\t\t\t\t\t\t\tif ( isUniqueEdge( start, end, edges ) === true ) {\n\n\t\t\t\t\t\t\t\tvertices.push( start.x, start.y, start.z );\n\t\t\t\t\t\t\t\tvertices.push( end.x, end.y, end.z );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// non-indexed BufferGeometry\n\n\t\t\t\tconst position = geometry.attributes.position;\n\n\t\t\t\tfor ( let i = 0, l = ( position.count / 3 ); i < l; i ++ ) {\n\n\t\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t\t// three edges per triangle, an edge is represented as (index1, index2)\n\t\t\t\t\t\t// e.g. the first triangle has the following edges: (0,1),(1,2),(2,0)\n\n\t\t\t\t\t\tconst index1 = 3 * i + j;\n\t\t\t\t\t\tconst index2 = 3 * i + ( ( j + 1 ) % 3 );\n\n\t\t\t\t\t\tstart.fromBufferAttribute( position, index1 );\n\t\t\t\t\t\tend.fromBufferAttribute( position, index2 );\n\n\t\t\t\t\t\tif ( isUniqueEdge( start, end, edges ) === true ) {\n\n\t\t\t\t\t\t\tvertices.push( start.x, start.y, start.z );\n\t\t\t\t\t\t\tvertices.push( end.x, end.y, end.z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// build geometry\n\n\t\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n}\n\nfunction isUniqueEdge( start, end, edges ) {\n\n\tconst hash1 = `${start.x},${start.y},${start.z}-${end.x},${end.y},${end.z}`;\n\tconst hash2 = `${end.x},${end.y},${end.z}-${start.x},${start.y},${start.z}`; // coincident edge\n\n\tif ( edges.has( hash1 ) === true || edges.has( hash2 ) === true ) {\n\n\t\treturn false;\n\n\t} else {\n\n\t\tedges.add( hash1 );\n\t\tedges.add( hash2 );\n\t\treturn true;\n\n\t}\n\n}\n\nvar Geometries = /*#__PURE__*/Object.freeze({\n\t__proto__: null,\n\tBoxGeometry: BoxGeometry,\n\tCapsuleGeometry: CapsuleGeometry,\n\tCircleGeometry: CircleGeometry,\n\tConeGeometry: ConeGeometry,\n\tCylinderGeometry: CylinderGeometry,\n\tDodecahedronGeometry: DodecahedronGeometry,\n\tEdgesGeometry: EdgesGeometry,\n\tExtrudeGeometry: ExtrudeGeometry,\n\tIcosahedronGeometry: IcosahedronGeometry,\n\tLatheGeometry: LatheGeometry,\n\tOctahedronGeometry: OctahedronGeometry,\n\tPlaneGeometry: PlaneGeometry,\n\tPolyhedronGeometry: PolyhedronGeometry,\n\tRingGeometry: RingGeometry,\n\tShapeGeometry: ShapeGeometry,\n\tSphereGeometry: SphereGeometry,\n\tTetrahedronGeometry: TetrahedronGeometry,\n\tTorusGeometry: TorusGeometry,\n\tTorusKnotGeometry: TorusKnotGeometry,\n\tTubeGeometry: TubeGeometry,\n\tWireframeGeometry: WireframeGeometry\n});\n\nclass ShadowMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isShadowMaterial = true;\n\n\t\tthis.type = 'ShadowMaterial';\n\n\t\tthis.color = new Color( 0x000000 );\n\t\tthis.transparent = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass RawShaderMaterial extends ShaderMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper( parameters );\n\n\t\tthis.isRawShaderMaterial = true;\n\n\t\tthis.type = 'RawShaderMaterial';\n\n\t}\n\n}\n\nclass MeshStandardMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshStandardMaterial = true;\n\n\t\tthis.defines = { 'STANDARD': '' };\n\n\t\tthis.type = 'MeshStandardMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\t\tthis.roughness = 1.0;\n\t\tthis.metalness = 0.0;\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.roughnessMap = null;\n\n\t\tthis.metalnessMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.envMapIntensity = 1.0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = { 'STANDARD': '' };\n\n\t\tthis.color.copy( source.color );\n\t\tthis.roughness = source.roughness;\n\t\tthis.metalness = source.metalness;\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.roughnessMap = source.roughnessMap;\n\n\t\tthis.metalnessMap = source.metalnessMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.envMapIntensity = source.envMapIntensity;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshPhysicalMaterial extends MeshStandardMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshPhysicalMaterial = true;\n\n\t\tthis.defines = {\n\n\t\t\t'STANDARD': '',\n\t\t\t'PHYSICAL': ''\n\n\t\t};\n\n\t\tthis.type = 'MeshPhysicalMaterial';\n\n\t\tthis.anisotropyRotation = 0;\n\t\tthis.anisotropyMap = null;\n\n\t\tthis.clearcoatMap = null;\n\t\tthis.clearcoatRoughness = 0.0;\n\t\tthis.clearcoatRoughnessMap = null;\n\t\tthis.clearcoatNormalScale = new Vector2( 1, 1 );\n\t\tthis.clearcoatNormalMap = null;\n\n\t\tthis.ior = 1.5;\n\n\t\tObject.defineProperty( this, 'reflectivity', {\n\t\t\tget: function () {\n\n\t\t\t\treturn ( clamp( 2.5 * ( this.ior - 1 ) / ( this.ior + 1 ), 0, 1 ) );\n\n\t\t\t},\n\t\t\tset: function ( reflectivity ) {\n\n\t\t\t\tthis.ior = ( 1 + 0.4 * reflectivity ) / ( 1 - 0.4 * reflectivity );\n\n\t\t\t}\n\t\t} );\n\n\t\tthis.iridescenceMap = null;\n\t\tthis.iridescenceIOR = 1.3;\n\t\tthis.iridescenceThicknessRange = [ 100, 400 ];\n\t\tthis.iridescenceThicknessMap = null;\n\n\t\tthis.sheenColor = new Color( 0x000000 );\n\t\tthis.sheenColorMap = null;\n\t\tthis.sheenRoughness = 1.0;\n\t\tthis.sheenRoughnessMap = null;\n\n\t\tthis.transmissionMap = null;\n\n\t\tthis.thickness = 0;\n\t\tthis.thicknessMap = null;\n\t\tthis.attenuationDistance = Infinity;\n\t\tthis.attenuationColor = new Color( 1, 1, 1 );\n\n\t\tthis.specularIntensity = 1.0;\n\t\tthis.specularIntensityMap = null;\n\t\tthis.specularColor = new Color( 1, 1, 1 );\n\t\tthis.specularColorMap = null;\n\n\t\tthis._anisotropy = 0;\n\t\tthis._clearcoat = 0;\n\t\tthis._iridescence = 0;\n\t\tthis._sheen = 0.0;\n\t\tthis._transmission = 0;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tget anisotropy() {\n\n\t\treturn this._anisotropy;\n\n\t}\n\n\tset anisotropy( value ) {\n\n\t\tif ( this._anisotropy > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._anisotropy = value;\n\n\t}\n\n\tget clearcoat() {\n\n\t\treturn this._clearcoat;\n\n\t}\n\n\tset clearcoat( value ) {\n\n\t\tif ( this._clearcoat > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._clearcoat = value;\n\n\t}\n\n\tget iridescence() {\n\n\t\treturn this._iridescence;\n\n\t}\n\n\tset iridescence( value ) {\n\n\t\tif ( this._iridescence > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._iridescence = value;\n\n\t}\n\n\tget sheen() {\n\n\t\treturn this._sheen;\n\n\t}\n\n\tset sheen( value ) {\n\n\t\tif ( this._sheen > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._sheen = value;\n\n\t}\n\n\tget transmission() {\n\n\t\treturn this._transmission;\n\n\t}\n\n\tset transmission( value ) {\n\n\t\tif ( this._transmission > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._transmission = value;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = {\n\n\t\t\t'STANDARD': '',\n\t\t\t'PHYSICAL': ''\n\n\t\t};\n\n\t\tthis.anisotropy = source.anisotropy;\n\t\tthis.anisotropyRotation = source.anisotropyRotation;\n\t\tthis.anisotropyMap = source.anisotropyMap;\n\n\t\tthis.clearcoat = source.clearcoat;\n\t\tthis.clearcoatMap = source.clearcoatMap;\n\t\tthis.clearcoatRoughness = source.clearcoatRoughness;\n\t\tthis.clearcoatRoughnessMap = source.clearcoatRoughnessMap;\n\t\tthis.clearcoatNormalMap = source.clearcoatNormalMap;\n\t\tthis.clearcoatNormalScale.copy( source.clearcoatNormalScale );\n\n\t\tthis.ior = source.ior;\n\n\t\tthis.iridescence = source.iridescence;\n\t\tthis.iridescenceMap = source.iridescenceMap;\n\t\tthis.iridescenceIOR = source.iridescenceIOR;\n\t\tthis.iridescenceThicknessRange = [ ...source.iridescenceThicknessRange ];\n\t\tthis.iridescenceThicknessMap = source.iridescenceThicknessMap;\n\n\t\tthis.sheen = source.sheen;\n\t\tthis.sheenColor.copy( source.sheenColor );\n\t\tthis.sheenColorMap = source.sheenColorMap;\n\t\tthis.sheenRoughness = source.sheenRoughness;\n\t\tthis.sheenRoughnessMap = source.sheenRoughnessMap;\n\n\t\tthis.transmission = source.transmission;\n\t\tthis.transmissionMap = source.transmissionMap;\n\n\t\tthis.thickness = source.thickness;\n\t\tthis.thicknessMap = source.thicknessMap;\n\t\tthis.attenuationDistance = source.attenuationDistance;\n\t\tthis.attenuationColor.copy( source.attenuationColor );\n\n\t\tthis.specularIntensity = source.specularIntensity;\n\t\tthis.specularIntensityMap = source.specularIntensityMap;\n\t\tthis.specularColor.copy( source.specularColor );\n\t\tthis.specularColorMap = source.specularColorMap;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshPhongMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshPhongMaterial = true;\n\n\t\tthis.type = 'MeshPhongMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\t\tthis.specular = new Color( 0x111111 );\n\t\tthis.shininess = 30;\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\t\tthis.specular.copy( source.specular );\n\t\tthis.shininess = source.shininess;\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshToonMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshToonMaterial = true;\n\n\t\tthis.defines = { 'TOON': '' };\n\n\t\tthis.type = 'MeshToonMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\t\tthis.gradientMap = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\t\tthis.gradientMap = source.gradientMap;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshNormalMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshNormalMaterial = true;\n\n\t\tthis.type = 'MeshNormalMaterial';\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.flatShading = false;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshLambertMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshLambertMaterial = true;\n\n\t\tthis.type = 'MeshLambertMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshMatcapMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshMatcapMaterial = true;\n\n\t\tthis.defines = { 'MATCAP': '' };\n\n\t\tthis.type = 'MeshMatcapMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\n\t\tthis.matcap = null;\n\n\t\tthis.map = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = { 'MATCAP': '' };\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.matcap = source.matcap;\n\n\t\tthis.map = source.map;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineDashedMaterial extends LineBasicMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isLineDashedMaterial = true;\n\n\t\tthis.type = 'LineDashedMaterial';\n\n\t\tthis.scale = 1;\n\t\tthis.dashSize = 3;\n\t\tthis.gapSize = 1;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.scale = source.scale;\n\t\tthis.dashSize = source.dashSize;\n\t\tthis.gapSize = source.gapSize;\n\n\t\treturn this;\n\n\t}\n\n}\n\n// converts an array to a specific type\nfunction convertArray( array, type, forceClone ) {\n\n\tif ( ! array || // let 'undefined' and 'null' pass\n\t\t! forceClone && array.constructor === type ) return array;\n\n\tif ( typeof type.BYTES_PER_ELEMENT === 'number' ) {\n\n\t\treturn new type( array ); // create typed array\n\n\t}\n\n\treturn Array.prototype.slice.call( array ); // create Array\n\n}\n\nfunction isTypedArray( object ) {\n\n\treturn ArrayBuffer.isView( object ) &&\n\t\t! ( object instanceof DataView );\n\n}\n\n// returns an array by which times and values can be sorted\nfunction getKeyframeOrder( times ) {\n\n\tfunction compareTime( i, j ) {\n\n\t\treturn times[ i ] - times[ j ];\n\n\t}\n\n\tconst n = times.length;\n\tconst result = new Array( n );\n\tfor ( let i = 0; i !== n; ++ i ) result[ i ] = i;\n\n\tresult.sort( compareTime );\n\n\treturn result;\n\n}\n\n// uses the array previously returned by 'getKeyframeOrder' to sort data\nfunction sortedArray( values, stride, order ) {\n\n\tconst nValues = values.length;\n\tconst result = new values.constructor( nValues );\n\n\tfor ( let i = 0, dstOffset = 0; dstOffset !== nValues; ++ i ) {\n\n\t\tconst srcOffset = order[ i ] * stride;\n\n\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\tresult[ dstOffset ++ ] = values[ srcOffset + j ];\n\n\t\t}\n\n\t}\n\n\treturn result;\n\n}\n\n// function for parsing AOS keyframe formats\nfunction flattenJSON( jsonKeys, times, values, valuePropertyName ) {\n\n\tlet i = 1, key = jsonKeys[ 0 ];\n\n\twhile ( key !== undefined && key[ valuePropertyName ] === undefined ) {\n\n\t\tkey = jsonKeys[ i ++ ];\n\n\t}\n\n\tif ( key === undefined ) return; // no data\n\n\tlet value = key[ valuePropertyName ];\n\tif ( value === undefined ) return; // no data\n\n\tif ( Array.isArray( value ) ) {\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalues.push.apply( values, value ); // push all elements\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t} else if ( value.toArray !== undefined ) {\n\n\t\t// ...assume THREE.Math-ish\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalue.toArray( values, values.length );\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t} else {\n\n\t\t// otherwise push as-is\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalues.push( value );\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t}\n\n}\n\nfunction subclip( sourceClip, name, startFrame, endFrame, fps = 30 ) {\n\n\tconst clip = sourceClip.clone();\n\n\tclip.name = name;\n\n\tconst tracks = [];\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tconst track = clip.tracks[ i ];\n\t\tconst valueSize = track.getValueSize();\n\n\t\tconst times = [];\n\t\tconst values = [];\n\n\t\tfor ( let j = 0; j < track.times.length; ++ j ) {\n\n\t\t\tconst frame = track.times[ j ] * fps;\n\n\t\t\tif ( frame < startFrame || frame >= endFrame ) continue;\n\n\t\t\ttimes.push( track.times[ j ] );\n\n\t\t\tfor ( let k = 0; k < valueSize; ++ k ) {\n\n\t\t\t\tvalues.push( track.values[ j * valueSize + k ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( times.length === 0 ) continue;\n\n\t\ttrack.times = convertArray( times, track.times.constructor );\n\t\ttrack.values = convertArray( values, track.values.constructor );\n\n\t\ttracks.push( track );\n\n\t}\n\n\tclip.tracks = tracks;\n\n\t// find minimum .times value across all tracks in the trimmed clip\n\n\tlet minStartTime = Infinity;\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tif ( minStartTime > clip.tracks[ i ].times[ 0 ] ) {\n\n\t\t\tminStartTime = clip.tracks[ i ].times[ 0 ];\n\n\t\t}\n\n\t}\n\n\t// shift all tracks such that clip begins at t=0\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tclip.tracks[ i ].shift( - 1 * minStartTime );\n\n\t}\n\n\tclip.resetDuration();\n\n\treturn clip;\n\n}\n\nfunction makeClipAdditive( targetClip, referenceFrame = 0, referenceClip = targetClip, fps = 30 ) {\n\n\tif ( fps <= 0 ) fps = 30;\n\n\tconst numTracks = referenceClip.tracks.length;\n\tconst referenceTime = referenceFrame / fps;\n\n\t// Make each track's values relative to the values at the reference frame\n\tfor ( let i = 0; i < numTracks; ++ i ) {\n\n\t\tconst referenceTrack = referenceClip.tracks[ i ];\n\t\tconst referenceTrackType = referenceTrack.ValueTypeName;\n\n\t\t// Skip this track if it's non-numeric\n\t\tif ( referenceTrackType === 'bool' || referenceTrackType === 'string' ) continue;\n\n\t\t// Find the track in the target clip whose name and type matches the reference track\n\t\tconst targetTrack = targetClip.tracks.find( function ( track ) {\n\n\t\t\treturn track.name === referenceTrack.name\n\t\t\t\t&& track.ValueTypeName === referenceTrackType;\n\n\t\t} );\n\n\t\tif ( targetTrack === undefined ) continue;\n\n\t\tlet referenceOffset = 0;\n\t\tconst referenceValueSize = referenceTrack.getValueSize();\n\n\t\tif ( referenceTrack.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline ) {\n\n\t\t\treferenceOffset = referenceValueSize / 3;\n\n\t\t}\n\n\t\tlet targetOffset = 0;\n\t\tconst targetValueSize = targetTrack.getValueSize();\n\n\t\tif ( targetTrack.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline ) {\n\n\t\t\ttargetOffset = targetValueSize / 3;\n\n\t\t}\n\n\t\tconst lastIndex = referenceTrack.times.length - 1;\n\t\tlet referenceValue;\n\n\t\t// Find the value to subtract out of the track\n\t\tif ( referenceTime <= referenceTrack.times[ 0 ] ) {\n\n\t\t\t// Reference frame is earlier than the first keyframe, so just use the first keyframe\n\t\t\tconst startIndex = referenceOffset;\n\t\t\tconst endIndex = referenceValueSize - referenceOffset;\n\t\t\treferenceValue = referenceTrack.values.slice( startIndex, endIndex );\n\n\t\t} else if ( referenceTime >= referenceTrack.times[ lastIndex ] ) {\n\n\t\t\t// Reference frame is after the last keyframe, so just use the last keyframe\n\t\t\tconst startIndex = lastIndex * referenceValueSize + referenceOffset;\n\t\t\tconst endIndex = startIndex + referenceValueSize - referenceOffset;\n\t\t\treferenceValue = referenceTrack.values.slice( startIndex, endIndex );\n\n\t\t} else {\n\n\t\t\t// Interpolate to the reference value\n\t\t\tconst interpolant = referenceTrack.createInterpolant();\n\t\t\tconst startIndex = referenceOffset;\n\t\t\tconst endIndex = referenceValueSize - referenceOffset;\n\t\t\tinterpolant.evaluate( referenceTime );\n\t\t\treferenceValue = interpolant.resultBuffer.slice( startIndex, endIndex );\n\n\t\t}\n\n\t\t// Conjugate the quaternion\n\t\tif ( referenceTrackType === 'quaternion' ) {\n\n\t\t\tconst referenceQuat = new Quaternion().fromArray( referenceValue ).normalize().conjugate();\n\t\t\treferenceQuat.toArray( referenceValue );\n\n\t\t}\n\n\t\t// Subtract the reference value from all of the track values\n\n\t\tconst numTimes = targetTrack.times.length;\n\t\tfor ( let j = 0; j < numTimes; ++ j ) {\n\n\t\t\tconst valueStart = j * targetValueSize + targetOffset;\n\n\t\t\tif ( referenceTrackType === 'quaternion' ) {\n\n\t\t\t\t// Multiply the conjugate for quaternion track types\n\t\t\t\tQuaternion.multiplyQuaternionsFlat(\n\t\t\t\t\ttargetTrack.values,\n\t\t\t\t\tvalueStart,\n\t\t\t\t\treferenceValue,\n\t\t\t\t\t0,\n\t\t\t\t\ttargetTrack.values,\n\t\t\t\t\tvalueStart\n\t\t\t\t);\n\n\t\t\t} else {\n\n\t\t\t\tconst valueEnd = targetValueSize - targetOffset * 2;\n\n\t\t\t\t// Subtract each value for all other numeric track types\n\t\t\t\tfor ( let k = 0; k < valueEnd; ++ k ) {\n\n\t\t\t\t\ttargetTrack.values[ valueStart + k ] -= referenceValue[ k ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttargetClip.blendMode = AdditiveAnimationBlendMode;\n\n\treturn targetClip;\n\n}\n\nconst AnimationUtils = {\n\tconvertArray: convertArray,\n\tisTypedArray: isTypedArray,\n\tgetKeyframeOrder: getKeyframeOrder,\n\tsortedArray: sortedArray,\n\tflattenJSON: flattenJSON,\n\tsubclip: subclip,\n\tmakeClipAdditive: makeClipAdditive\n};\n\n/**\n * Abstract base class of interpolants over parametric samples.\n *\n * The parameter domain is one dimensional, typically the time or a path\n * along a curve defined by the data.\n *\n * The sample values can have any dimensionality and derived classes may\n * apply special interpretations to the data.\n *\n * This class provides the interval seek in a Template Method, deferring\n * the actual interpolation to derived classes.\n *\n * Time complexity is O(1) for linear access crossing at most two points\n * and O(log N) for random access, where N is the number of positions.\n *\n * References:\n *\n * \t\thttp://www.oodesign.com/template-method-pattern.html\n *\n */\n\nclass Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tthis.parameterPositions = parameterPositions;\n\t\tthis._cachedIndex = 0;\n\n\t\tthis.resultBuffer = resultBuffer !== undefined ?\n\t\t\tresultBuffer : new sampleValues.constructor( sampleSize );\n\t\tthis.sampleValues = sampleValues;\n\t\tthis.valueSize = sampleSize;\n\n\t\tthis.settings = null;\n\t\tthis.DefaultSettings_ = {};\n\n\t}\n\n\tevaluate( t ) {\n\n\t\tconst pp = this.parameterPositions;\n\t\tlet i1 = this._cachedIndex,\n\t\t\tt1 = pp[ i1 ],\n\t\t\tt0 = pp[ i1 - 1 ];\n\n\t\tvalidate_interval: {\n\n\t\t\tseek: {\n\n\t\t\t\tlet right;\n\n\t\t\t\tlinear_scan: {\n\n\t\t\t\t\t//- See http://jsperf.com/comparison-to-undefined/3\n\t\t\t\t\t//- slower code:\n\t\t\t\t\t//-\n\t\t\t\t\t//- \t\t\t\tif ( t >= t1 || t1 === undefined ) {\n\t\t\t\t\tforward_scan: if ( ! ( t < t1 ) ) {\n\n\t\t\t\t\t\tfor ( let giveUpAt = i1 + 2; ; ) {\n\n\t\t\t\t\t\t\tif ( t1 === undefined ) {\n\n\t\t\t\t\t\t\t\tif ( t < t0 ) break forward_scan;\n\n\t\t\t\t\t\t\t\t// after end\n\n\t\t\t\t\t\t\t\ti1 = pp.length;\n\t\t\t\t\t\t\t\tthis._cachedIndex = i1;\n\t\t\t\t\t\t\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( i1 === giveUpAt ) break; // this loop\n\n\t\t\t\t\t\t\tt0 = t1;\n\t\t\t\t\t\t\tt1 = pp[ ++ i1 ];\n\n\t\t\t\t\t\t\tif ( t < t1 ) {\n\n\t\t\t\t\t\t\t\t// we have arrived at the sought interval\n\t\t\t\t\t\t\t\tbreak seek;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// prepare binary search on the right side of the index\n\t\t\t\t\t\tright = pp.length;\n\t\t\t\t\t\tbreak linear_scan;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t//- slower code:\n\t\t\t\t\t//-\t\t\t\t\tif ( t < t0 || t0 === undefined ) {\n\t\t\t\t\tif ( ! ( t >= t0 ) ) {\n\n\t\t\t\t\t\t// looping?\n\n\t\t\t\t\t\tconst t1global = pp[ 1 ];\n\n\t\t\t\t\t\tif ( t < t1global ) {\n\n\t\t\t\t\t\t\ti1 = 2; // + 1, using the scan for the details\n\t\t\t\t\t\t\tt0 = t1global;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// linear reverse scan\n\n\t\t\t\t\t\tfor ( let giveUpAt = i1 - 2; ; ) {\n\n\t\t\t\t\t\t\tif ( t0 === undefined ) {\n\n\t\t\t\t\t\t\t\t// before start\n\n\t\t\t\t\t\t\t\tthis._cachedIndex = 0;\n\t\t\t\t\t\t\t\treturn this.copySampleValue_( 0 );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( i1 === giveUpAt ) break; // this loop\n\n\t\t\t\t\t\t\tt1 = t0;\n\t\t\t\t\t\t\tt0 = pp[ -- i1 - 1 ];\n\n\t\t\t\t\t\t\tif ( t >= t0 ) {\n\n\t\t\t\t\t\t\t\t// we have arrived at the sought interval\n\t\t\t\t\t\t\t\tbreak seek;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// prepare binary search on the left side of the index\n\t\t\t\t\t\tright = i1;\n\t\t\t\t\t\ti1 = 0;\n\t\t\t\t\t\tbreak linear_scan;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the interval is valid\n\n\t\t\t\t\tbreak validate_interval;\n\n\t\t\t\t} // linear scan\n\n\t\t\t\t// binary search\n\n\t\t\t\twhile ( i1 < right ) {\n\n\t\t\t\t\tconst mid = ( i1 + right ) >>> 1;\n\n\t\t\t\t\tif ( t < pp[ mid ] ) {\n\n\t\t\t\t\t\tright = mid;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ti1 = mid + 1;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tt1 = pp[ i1 ];\n\t\t\t\tt0 = pp[ i1 - 1 ];\n\n\t\t\t\t// check boundary cases, again\n\n\t\t\t\tif ( t0 === undefined ) {\n\n\t\t\t\t\tthis._cachedIndex = 0;\n\t\t\t\t\treturn this.copySampleValue_( 0 );\n\n\t\t\t\t}\n\n\t\t\t\tif ( t1 === undefined ) {\n\n\t\t\t\t\ti1 = pp.length;\n\t\t\t\t\tthis._cachedIndex = i1;\n\t\t\t\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t\t\t\t}\n\n\t\t\t} // seek\n\n\t\t\tthis._cachedIndex = i1;\n\n\t\t\tthis.intervalChanged_( i1, t0, t1 );\n\n\t\t} // validate_interval\n\n\t\treturn this.interpolate_( i1, t0, t, t1 );\n\n\t}\n\n\tgetSettings_() {\n\n\t\treturn this.settings || this.DefaultSettings_;\n\n\t}\n\n\tcopySampleValue_( index ) {\n\n\t\t// copies a sample value to the result buffer\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = index * stride;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] = values[ offset + i ];\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\t// Template methods for derived classes:\n\n\tinterpolate_( /* i1, t0, t, t1 */ ) {\n\n\t\tthrow new Error( 'call to abstract method' );\n\t\t// implementations shall return this.resultBuffer\n\n\t}\n\n\tintervalChanged_( /* i1, t0, t1 */ ) {\n\n\t\t// empty\n\n\t}\n\n}\n\n/**\n * Fast and simple cubic spline interpolant.\n *\n * It was derived from a Hermitian construction setting the first derivative\n * at each sample position to the linear slope between neighboring positions\n * over their parameter interval.\n */\n\nclass CubicInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t\tthis._weightPrev = - 0;\n\t\tthis._offsetPrev = - 0;\n\t\tthis._weightNext = - 0;\n\t\tthis._offsetNext = - 0;\n\n\t\tthis.DefaultSettings_ = {\n\n\t\t\tendingStart: ZeroCurvatureEnding,\n\t\t\tendingEnd: ZeroCurvatureEnding\n\n\t\t};\n\n\t}\n\n\tintervalChanged_( i1, t0, t1 ) {\n\n\t\tconst pp = this.parameterPositions;\n\t\tlet iPrev = i1 - 2,\n\t\t\tiNext = i1 + 1,\n\n\t\t\ttPrev = pp[ iPrev ],\n\t\t\ttNext = pp[ iNext ];\n\n\t\tif ( tPrev === undefined ) {\n\n\t\t\tswitch ( this.getSettings_().endingStart ) {\n\n\t\t\t\tcase ZeroSlopeEnding:\n\n\t\t\t\t\t// f'(t0) = 0\n\t\t\t\t\tiPrev = i1;\n\t\t\t\t\ttPrev = 2 * t0 - t1;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase WrapAroundEnding:\n\n\t\t\t\t\t// use the other end of the curve\n\t\t\t\t\tiPrev = pp.length - 2;\n\t\t\t\t\ttPrev = t0 + pp[ iPrev ] - pp[ iPrev + 1 ];\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault: // ZeroCurvatureEnding\n\n\t\t\t\t\t// f''(t0) = 0 a.k.a. Natural Spline\n\t\t\t\t\tiPrev = i1;\n\t\t\t\t\ttPrev = t1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( tNext === undefined ) {\n\n\t\t\tswitch ( this.getSettings_().endingEnd ) {\n\n\t\t\t\tcase ZeroSlopeEnding:\n\n\t\t\t\t\t// f'(tN) = 0\n\t\t\t\t\tiNext = i1;\n\t\t\t\t\ttNext = 2 * t1 - t0;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase WrapAroundEnding:\n\n\t\t\t\t\t// use the other end of the curve\n\t\t\t\t\tiNext = 1;\n\t\t\t\t\ttNext = t1 + pp[ 1 ] - pp[ 0 ];\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault: // ZeroCurvatureEnding\n\n\t\t\t\t\t// f''(tN) = 0, a.k.a. Natural Spline\n\t\t\t\t\tiNext = i1 - 1;\n\t\t\t\t\ttNext = t0;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst halfDt = ( t1 - t0 ) * 0.5,\n\t\t\tstride = this.valueSize;\n\n\t\tthis._weightPrev = halfDt / ( t0 - tPrev );\n\t\tthis._weightNext = halfDt / ( tNext - t1 );\n\t\tthis._offsetPrev = iPrev * stride;\n\t\tthis._offsetNext = iNext * stride;\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\to1 = i1 * stride,\t\to0 = o1 - stride,\n\t\t\toP = this._offsetPrev, \toN = this._offsetNext,\n\t\t\twP = this._weightPrev,\twN = this._weightNext,\n\n\t\t\tp = ( t - t0 ) / ( t1 - t0 ),\n\t\t\tpp = p * p,\n\t\t\tppp = pp * p;\n\n\t\t// evaluate polynomials\n\n\t\tconst sP = - wP * ppp + 2 * wP * pp - wP * p;\n\t\tconst s0 = ( 1 + wP ) * ppp + ( - 1.5 - 2 * wP ) * pp + ( - 0.5 + wP ) * p + 1;\n\t\tconst s1 = ( - 1 - wN ) * ppp + ( 1.5 + wN ) * pp + 0.5 * p;\n\t\tconst sN = wN * ppp - wN * pp;\n\n\t\t// combine data linearly\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] =\n\t\t\t\t\tsP * values[ oP + i ] +\n\t\t\t\t\ts0 * values[ o0 + i ] +\n\t\t\t\t\ts1 * values[ o1 + i ] +\n\t\t\t\t\tsN * values[ oN + i ];\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\nclass LinearInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\toffset1 = i1 * stride,\n\t\t\toffset0 = offset1 - stride,\n\n\t\t\tweight1 = ( t - t0 ) / ( t1 - t0 ),\n\t\t\tweight0 = 1 - weight1;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] =\n\t\t\t\t\tvalues[ offset0 + i ] * weight0 +\n\t\t\t\t\tvalues[ offset1 + i ] * weight1;\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\n/**\n *\n * Interpolant that evaluates to the sample value at the position preceding\n * the parameter.\n */\n\nclass DiscreteInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1 /*, t0, t, t1 */ ) {\n\n\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t}\n\n}\n\nclass KeyframeTrack {\n\n\tconstructor( name, times, values, interpolation ) {\n\n\t\tif ( name === undefined ) throw new Error( 'THREE.KeyframeTrack: track name is undefined' );\n\t\tif ( times === undefined || times.length === 0 ) throw new Error( 'THREE.KeyframeTrack: no keyframes in track named ' + name );\n\n\t\tthis.name = name;\n\n\t\tthis.times = convertArray( times, this.TimeBufferType );\n\t\tthis.values = convertArray( values, this.ValueBufferType );\n\n\t\tthis.setInterpolation( interpolation || this.DefaultInterpolation );\n\n\t}\n\n\t// Serialization (in static context, because of constructor invocation\n\t// and automatic invocation of .toJSON):\n\n\tstatic toJSON( track ) {\n\n\t\tconst trackType = track.constructor;\n\n\t\tlet json;\n\n\t\t// derived classes can define a static toJSON method\n\t\tif ( trackType.toJSON !== this.toJSON ) {\n\n\t\t\tjson = trackType.toJSON( track );\n\n\t\t} else {\n\n\t\t\t// by default, we assume the data can be serialized as-is\n\t\t\tjson = {\n\n\t\t\t\t'name': track.name,\n\t\t\t\t'times': convertArray( track.times, Array ),\n\t\t\t\t'values': convertArray( track.values, Array )\n\n\t\t\t};\n\n\t\t\tconst interpolation = track.getInterpolation();\n\n\t\t\tif ( interpolation !== track.DefaultInterpolation ) {\n\n\t\t\t\tjson.interpolation = interpolation;\n\n\t\t\t}\n\n\t\t}\n\n\t\tjson.type = track.ValueTypeName; // mandatory\n\n\t\treturn json;\n\n\t}\n\n\tInterpolantFactoryMethodDiscrete( result ) {\n\n\t\treturn new DiscreteInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tInterpolantFactoryMethodLinear( result ) {\n\n\t\treturn new LinearInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tInterpolantFactoryMethodSmooth( result ) {\n\n\t\treturn new CubicInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tsetInterpolation( interpolation ) {\n\n\t\tlet factoryMethod;\n\n\t\tswitch ( interpolation ) {\n\n\t\t\tcase InterpolateDiscrete:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodDiscrete;\n\n\t\t\t\tbreak;\n\n\t\t\tcase InterpolateLinear:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodLinear;\n\n\t\t\t\tbreak;\n\n\t\t\tcase InterpolateSmooth:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodSmooth;\n\n\t\t\t\tbreak;\n\n\t\t}\n\n\t\tif ( factoryMethod === undefined ) {\n\n\t\t\tconst message = 'unsupported interpolation for ' +\n\t\t\t\tthis.ValueTypeName + ' keyframe track named ' + this.name;\n\n\t\t\tif ( this.createInterpolant === undefined ) {\n\n\t\t\t\t// fall back to default, unless the default itself is messed up\n\t\t\t\tif ( interpolation !== this.DefaultInterpolation ) {\n\n\t\t\t\t\tthis.setInterpolation( this.DefaultInterpolation );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new Error( message ); // fatal, in this case\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconsole.warn( 'THREE.KeyframeTrack:', message );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tthis.createInterpolant = factoryMethod;\n\n\t\treturn this;\n\n\t}\n\n\tgetInterpolation() {\n\n\t\tswitch ( this.createInterpolant ) {\n\n\t\t\tcase this.InterpolantFactoryMethodDiscrete:\n\n\t\t\t\treturn InterpolateDiscrete;\n\n\t\t\tcase this.InterpolantFactoryMethodLinear:\n\n\t\t\t\treturn InterpolateLinear;\n\n\t\t\tcase this.InterpolantFactoryMethodSmooth:\n\n\t\t\t\treturn InterpolateSmooth;\n\n\t\t}\n\n\t}\n\n\tgetValueSize() {\n\n\t\treturn this.values.length / this.times.length;\n\n\t}\n\n\t// move all keyframes either forwards or backwards in time\n\tshift( timeOffset ) {\n\n\t\tif ( timeOffset !== 0.0 ) {\n\n\t\t\tconst times = this.times;\n\n\t\t\tfor ( let i = 0, n = times.length; i !== n; ++ i ) {\n\n\t\t\t\ttimes[ i ] += timeOffset;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// scale all keyframe times by a factor (useful for frame <-> seconds conversions)\n\tscale( timeScale ) {\n\n\t\tif ( timeScale !== 1.0 ) {\n\n\t\t\tconst times = this.times;\n\n\t\t\tfor ( let i = 0, n = times.length; i !== n; ++ i ) {\n\n\t\t\t\ttimes[ i ] *= timeScale;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// removes keyframes before and after animation without changing any values within the range [startTime, endTime].\n\t// IMPORTANT: We do not shift around keys to the start of the track time, because for interpolated keys this will change their values\n\ttrim( startTime, endTime ) {\n\n\t\tconst times = this.times,\n\t\t\tnKeys = times.length;\n\n\t\tlet from = 0,\n\t\t\tto = nKeys - 1;\n\n\t\twhile ( from !== nKeys && times[ from ] < startTime ) {\n\n\t\t\t++ from;\n\n\t\t}\n\n\t\twhile ( to !== - 1 && times[ to ] > endTime ) {\n\n\t\t\t-- to;\n\n\t\t}\n\n\t\t++ to; // inclusive -> exclusive bound\n\n\t\tif ( from !== 0 || to !== nKeys ) {\n\n\t\t\t// empty tracks are forbidden, so keep at least one keyframe\n\t\t\tif ( from >= to ) {\n\n\t\t\t\tto = Math.max( to, 1 );\n\t\t\t\tfrom = to - 1;\n\n\t\t\t}\n\n\t\t\tconst stride = this.getValueSize();\n\t\t\tthis.times = times.slice( from, to );\n\t\t\tthis.values = this.values.slice( from * stride, to * stride );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// ensure we do not get a GarbageInGarbageOut situation, make sure tracks are at least minimally viable\n\tvalidate() {\n\n\t\tlet valid = true;\n\n\t\tconst valueSize = this.getValueSize();\n\t\tif ( valueSize - Math.floor( valueSize ) !== 0 ) {\n\n\t\t\tconsole.error( 'THREE.KeyframeTrack: Invalid value size in track.', this );\n\t\t\tvalid = false;\n\n\t\t}\n\n\t\tconst times = this.times,\n\t\t\tvalues = this.values,\n\n\t\t\tnKeys = times.length;\n\n\t\tif ( nKeys === 0 ) {\n\n\t\t\tconsole.error( 'THREE.KeyframeTrack: Track is empty.', this );\n\t\t\tvalid = false;\n\n\t\t}\n\n\t\tlet prevTime = null;\n\n\t\tfor ( let i = 0; i !== nKeys; i ++ ) {\n\n\t\t\tconst currTime = times[ i ];\n\n\t\t\tif ( typeof currTime === 'number' && isNaN( currTime ) ) {\n\n\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Time is not a valid number.', this, i, currTime );\n\t\t\t\tvalid = false;\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tif ( prevTime !== null && prevTime > currTime ) {\n\n\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Out of order keys.', this, i, currTime, prevTime );\n\t\t\t\tvalid = false;\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tprevTime = currTime;\n\n\t\t}\n\n\t\tif ( values !== undefined ) {\n\n\t\t\tif ( isTypedArray( values ) ) {\n\n\t\t\t\tfor ( let i = 0, n = values.length; i !== n; ++ i ) {\n\n\t\t\t\t\tconst value = values[ i ];\n\n\t\t\t\t\tif ( isNaN( value ) ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Value is not a valid number.', this, i, value );\n\t\t\t\t\t\tvalid = false;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn valid;\n\n\t}\n\n\t// removes equivalent sequential keys as common in morph target sequences\n\t// (0,0,0,0,1,1,1,0,0,0,0,0,0,0) --> (0,0,1,1,0,0)\n\toptimize() {\n\n\t\t// times or values may be shared with other tracks, so overwriting is unsafe\n\t\tconst times = this.times.slice(),\n\t\t\tvalues = this.values.slice(),\n\t\t\tstride = this.getValueSize(),\n\n\t\t\tsmoothInterpolation = this.getInterpolation() === InterpolateSmooth,\n\n\t\t\tlastIndex = times.length - 1;\n\n\t\tlet writeIndex = 1;\n\n\t\tfor ( let i = 1; i < lastIndex; ++ i ) {\n\n\t\t\tlet keep = false;\n\n\t\t\tconst time = times[ i ];\n\t\t\tconst timeNext = times[ i + 1 ];\n\n\t\t\t// remove adjacent keyframes scheduled at the same time\n\n\t\t\tif ( time !== timeNext && ( i !== 1 || time !== times[ 0 ] ) ) {\n\n\t\t\t\tif ( ! smoothInterpolation ) {\n\n\t\t\t\t\t// remove unnecessary keyframes same as their neighbors\n\n\t\t\t\t\tconst offset = i * stride,\n\t\t\t\t\t\toffsetP = offset - stride,\n\t\t\t\t\t\toffsetN = offset + stride;\n\n\t\t\t\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\t\t\t\tconst value = values[ offset + j ];\n\n\t\t\t\t\t\tif ( value !== values[ offsetP + j ] ||\n\t\t\t\t\t\t\tvalue !== values[ offsetN + j ] ) {\n\n\t\t\t\t\t\t\tkeep = true;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tkeep = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// in-place compaction\n\n\t\t\tif ( keep ) {\n\n\t\t\t\tif ( i !== writeIndex ) {\n\n\t\t\t\t\ttimes[ writeIndex ] = times[ i ];\n\n\t\t\t\t\tconst readOffset = i * stride,\n\t\t\t\t\t\twriteOffset = writeIndex * stride;\n\n\t\t\t\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\t\t\t\tvalues[ writeOffset + j ] = values[ readOffset + j ];\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t++ writeIndex;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// flush last keyframe (compaction looks ahead)\n\n\t\tif ( lastIndex > 0 ) {\n\n\t\t\ttimes[ writeIndex ] = times[ lastIndex ];\n\n\t\t\tfor ( let readOffset = lastIndex * stride, writeOffset = writeIndex * stride, j = 0; j !== stride; ++ j ) {\n\n\t\t\t\tvalues[ writeOffset + j ] = values[ readOffset + j ];\n\n\t\t\t}\n\n\t\t\t++ writeIndex;\n\n\t\t}\n\n\t\tif ( writeIndex !== times.length ) {\n\n\t\t\tthis.times = times.slice( 0, writeIndex );\n\t\t\tthis.values = values.slice( 0, writeIndex * stride );\n\n\t\t} else {\n\n\t\t\tthis.times = times;\n\t\t\tthis.values = values;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\tconst times = this.times.slice();\n\t\tconst values = this.values.slice();\n\n\t\tconst TypedKeyframeTrack = this.constructor;\n\t\tconst track = new TypedKeyframeTrack( this.name, times, values );\n\n\t\t// Interpolant argument to constructor is not saved, so copy the factory method directly.\n\t\ttrack.createInterpolant = this.createInterpolant;\n\n\t\treturn track;\n\n\t}\n\n}\n\nKeyframeTrack.prototype.TimeBufferType = Float32Array;\nKeyframeTrack.prototype.ValueBufferType = Float32Array;\nKeyframeTrack.prototype.DefaultInterpolation = InterpolateLinear;\n\n/**\n * A Track of Boolean keyframe values.\n */\nclass BooleanKeyframeTrack extends KeyframeTrack {}\n\nBooleanKeyframeTrack.prototype.ValueTypeName = 'bool';\nBooleanKeyframeTrack.prototype.ValueBufferType = Array;\nBooleanKeyframeTrack.prototype.DefaultInterpolation = InterpolateDiscrete;\nBooleanKeyframeTrack.prototype.InterpolantFactoryMethodLinear = undefined;\nBooleanKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track of keyframe values that represent color.\n */\nclass ColorKeyframeTrack extends KeyframeTrack {}\n\nColorKeyframeTrack.prototype.ValueTypeName = 'color';\n\n/**\n * A Track of numeric keyframe values.\n */\nclass NumberKeyframeTrack extends KeyframeTrack {}\n\nNumberKeyframeTrack.prototype.ValueTypeName = 'number';\n\n/**\n * Spherical linear unit quaternion interpolant.\n */\n\nclass QuaternionLinearInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\talpha = ( t - t0 ) / ( t1 - t0 );\n\n\t\tlet offset = i1 * stride;\n\n\t\tfor ( let end = offset + stride; offset !== end; offset += 4 ) {\n\n\t\t\tQuaternion.slerpFlat( result, 0, values, offset - stride, values, offset, alpha );\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\n/**\n * A Track of quaternion keyframe values.\n */\nclass QuaternionKeyframeTrack extends KeyframeTrack {\n\n\tInterpolantFactoryMethodLinear( result ) {\n\n\t\treturn new QuaternionLinearInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n}\n\nQuaternionKeyframeTrack.prototype.ValueTypeName = 'quaternion';\n// ValueBufferType is inherited\nQuaternionKeyframeTrack.prototype.DefaultInterpolation = InterpolateLinear;\nQuaternionKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track that interpolates Strings\n */\nclass StringKeyframeTrack extends KeyframeTrack {}\n\nStringKeyframeTrack.prototype.ValueTypeName = 'string';\nStringKeyframeTrack.prototype.ValueBufferType = Array;\nStringKeyframeTrack.prototype.DefaultInterpolation = InterpolateDiscrete;\nStringKeyframeTrack.prototype.InterpolantFactoryMethodLinear = undefined;\nStringKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track of vectored keyframe values.\n */\nclass VectorKeyframeTrack extends KeyframeTrack {}\n\nVectorKeyframeTrack.prototype.ValueTypeName = 'vector';\n\nclass AnimationClip {\n\n\tconstructor( name, duration = - 1, tracks, blendMode = NormalAnimationBlendMode ) {\n\n\t\tthis.name = name;\n\t\tthis.tracks = tracks;\n\t\tthis.duration = duration;\n\t\tthis.blendMode = blendMode;\n\n\t\tthis.uuid = generateUUID();\n\n\t\t// this means it should figure out its duration by scanning the tracks\n\t\tif ( this.duration < 0 ) {\n\n\t\t\tthis.resetDuration();\n\n\t\t}\n\n\t}\n\n\n\tstatic parse( json ) {\n\n\t\tconst tracks = [],\n\t\t\tjsonTracks = json.tracks,\n\t\t\tframeTime = 1.0 / ( json.fps || 1.0 );\n\n\t\tfor ( let i = 0, n = jsonTracks.length; i !== n; ++ i ) {\n\n\t\t\ttracks.push( parseKeyframeTrack( jsonTracks[ i ] ).scale( frameTime ) );\n\n\t\t}\n\n\t\tconst clip = new this( json.name, json.duration, tracks, json.blendMode );\n\t\tclip.uuid = json.uuid;\n\n\t\treturn clip;\n\n\t}\n\n\tstatic toJSON( clip ) {\n\n\t\tconst tracks = [],\n\t\t\tclipTracks = clip.tracks;\n\n\t\tconst json = {\n\n\t\t\t'name': clip.name,\n\t\t\t'duration': clip.duration,\n\t\t\t'tracks': tracks,\n\t\t\t'uuid': clip.uuid,\n\t\t\t'blendMode': clip.blendMode\n\n\t\t};\n\n\t\tfor ( let i = 0, n = clipTracks.length; i !== n; ++ i ) {\n\n\t\t\ttracks.push( KeyframeTrack.toJSON( clipTracks[ i ] ) );\n\n\t\t}\n\n\t\treturn json;\n\n\t}\n\n\tstatic CreateFromMorphTargetSequence( name, morphTargetSequence, fps, noLoop ) {\n\n\t\tconst numMorphTargets = morphTargetSequence.length;\n\t\tconst tracks = [];\n\n\t\tfor ( let i = 0; i < numMorphTargets; i ++ ) {\n\n\t\t\tlet times = [];\n\t\t\tlet values = [];\n\n\t\t\ttimes.push(\n\t\t\t\t( i + numMorphTargets - 1 ) % numMorphTargets,\n\t\t\t\ti,\n\t\t\t\t( i + 1 ) % numMorphTargets );\n\n\t\t\tvalues.push( 0, 1, 0 );\n\n\t\t\tconst order = getKeyframeOrder( times );\n\t\t\ttimes = sortedArray( times, 1, order );\n\t\t\tvalues = sortedArray( values, 1, order );\n\n\t\t\t// if there is a key at the first frame, duplicate it as the\n\t\t\t// last frame as well for perfect loop.\n\t\t\tif ( ! noLoop && times[ 0 ] === 0 ) {\n\n\t\t\t\ttimes.push( numMorphTargets );\n\t\t\t\tvalues.push( values[ 0 ] );\n\n\t\t\t}\n\n\t\t\ttracks.push(\n\t\t\t\tnew NumberKeyframeTrack(\n\t\t\t\t\t'.morphTargetInfluences[' + morphTargetSequence[ i ].name + ']',\n\t\t\t\t\ttimes, values\n\t\t\t\t).scale( 1.0 / fps ) );\n\n\t\t}\n\n\t\treturn new this( name, - 1, tracks );\n\n\t}\n\n\tstatic findByName( objectOrClipArray, name ) {\n\n\t\tlet clipArray = objectOrClipArray;\n\n\t\tif ( ! Array.isArray( objectOrClipArray ) ) {\n\n\t\t\tconst o = objectOrClipArray;\n\t\t\tclipArray = o.geometry && o.geometry.animations || o.animations;\n\n\t\t}\n\n\t\tfor ( let i = 0; i < clipArray.length; i ++ ) {\n\n\t\t\tif ( clipArray[ i ].name === name ) {\n\n\t\t\t\treturn clipArray[ i ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\tstatic CreateClipsFromMorphTargetSequences( morphTargets, fps, noLoop ) {\n\n\t\tconst animationToMorphTargets = {};\n\n\t\t// tested with https://regex101.com/ on trick sequences\n\t\t// such flamingo_flyA_003, flamingo_run1_003, crdeath0059\n\t\tconst pattern = /^([\\w-]*?)([\\d]+)$/;\n\n\t\t// sort morph target names into animation groups based\n\t\t// patterns like Walk_001, Walk_002, Run_001, Run_002\n\t\tfor ( let i = 0, il = morphTargets.length; i < il; i ++ ) {\n\n\t\t\tconst morphTarget = morphTargets[ i ];\n\t\t\tconst parts = morphTarget.name.match( pattern );\n\n\t\t\tif ( parts && parts.length > 1 ) {\n\n\t\t\t\tconst name = parts[ 1 ];\n\n\t\t\t\tlet animationMorphTargets = animationToMorphTargets[ name ];\n\n\t\t\t\tif ( ! animationMorphTargets ) {\n\n\t\t\t\t\tanimationToMorphTargets[ name ] = animationMorphTargets = [];\n\n\t\t\t\t}\n\n\t\t\t\tanimationMorphTargets.push( morphTarget );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst clips = [];\n\n\t\tfor ( const name in animationToMorphTargets ) {\n\n\t\t\tclips.push( this.CreateFromMorphTargetSequence( name, animationToMorphTargets[ name ], fps, noLoop ) );\n\n\t\t}\n\n\t\treturn clips;\n\n\t}\n\n\t// parse the animation.hierarchy format\n\tstatic parseAnimation( animation, bones ) {\n\n\t\tif ( ! animation ) {\n\n\t\t\tconsole.error( 'THREE.AnimationClip: No animation in JSONLoader data.' );\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst addNonemptyTrack = function ( trackType, trackName, animationKeys, propertyName, destTracks ) {\n\n\t\t\t// only return track if there are actually keys.\n\t\t\tif ( animationKeys.length !== 0 ) {\n\n\t\t\t\tconst times = [];\n\t\t\t\tconst values = [];\n\n\t\t\t\tflattenJSON( animationKeys, times, values, propertyName );\n\n\t\t\t\t// empty keys are filtered out, so check again\n\t\t\t\tif ( times.length !== 0 ) {\n\n\t\t\t\t\tdestTracks.push( new trackType( trackName, times, values ) );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tconst tracks = [];\n\n\t\tconst clipName = animation.name || 'default';\n\t\tconst fps = animation.fps || 30;\n\t\tconst blendMode = animation.blendMode;\n\n\t\t// automatic length determination in AnimationClip.\n\t\tlet duration = animation.length || - 1;\n\n\t\tconst hierarchyTracks = animation.hierarchy || [];\n\n\t\tfor ( let h = 0; h < hierarchyTracks.length; h ++ ) {\n\n\t\t\tconst animationKeys = hierarchyTracks[ h ].keys;\n\n\t\t\t// skip empty tracks\n\t\t\tif ( ! animationKeys || animationKeys.length === 0 ) continue;\n\n\t\t\t// process morph targets\n\t\t\tif ( animationKeys[ 0 ].morphTargets ) {\n\n\t\t\t\t// figure out all morph targets used in this track\n\t\t\t\tconst morphTargetNames = {};\n\n\t\t\t\tlet k;\n\n\t\t\t\tfor ( k = 0; k < animationKeys.length; k ++ ) {\n\n\t\t\t\t\tif ( animationKeys[ k ].morphTargets ) {\n\n\t\t\t\t\t\tfor ( let m = 0; m < animationKeys[ k ].morphTargets.length; m ++ ) {\n\n\t\t\t\t\t\t\tmorphTargetNames[ animationKeys[ k ].morphTargets[ m ] ] = - 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// create a track for each morph target with all zero\n\t\t\t\t// morphTargetInfluences except for the keys in which\n\t\t\t\t// the morphTarget is named.\n\t\t\t\tfor ( const morphTargetName in morphTargetNames ) {\n\n\t\t\t\t\tconst times = [];\n\t\t\t\t\tconst values = [];\n\n\t\t\t\t\tfor ( let m = 0; m !== animationKeys[ k ].morphTargets.length; ++ m ) {\n\n\t\t\t\t\t\tconst animationKey = animationKeys[ k ];\n\n\t\t\t\t\t\ttimes.push( animationKey.time );\n\t\t\t\t\t\tvalues.push( ( animationKey.morphTarget === morphTargetName ) ? 1 : 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttracks.push( new NumberKeyframeTrack( '.morphTargetInfluence[' + morphTargetName + ']', times, values ) );\n\n\t\t\t\t}\n\n\t\t\t\tduration = morphTargetNames.length * fps;\n\n\t\t\t} else {\n\n\t\t\t\t// ...assume skeletal animation\n\n\t\t\t\tconst boneName = '.bones[' + bones[ h ].name + ']';\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tVectorKeyframeTrack, boneName + '.position',\n\t\t\t\t\tanimationKeys, 'pos', tracks );\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tQuaternionKeyframeTrack, boneName + '.quaternion',\n\t\t\t\t\tanimationKeys, 'rot', tracks );\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tVectorKeyframeTrack, boneName + '.scale',\n\t\t\t\t\tanimationKeys, 'scl', tracks );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( tracks.length === 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst clip = new this( clipName, duration, tracks, blendMode );\n\n\t\treturn clip;\n\n\t}\n\n\tresetDuration() {\n\n\t\tconst tracks = this.tracks;\n\t\tlet duration = 0;\n\n\t\tfor ( let i = 0, n = tracks.length; i !== n; ++ i ) {\n\n\t\t\tconst track = this.tracks[ i ];\n\n\t\t\tduration = Math.max( duration, track.times[ track.times.length - 1 ] );\n\n\t\t}\n\n\t\tthis.duration = duration;\n\n\t\treturn this;\n\n\t}\n\n\ttrim() {\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tthis.tracks[ i ].trim( 0, this.duration );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tvalidate() {\n\n\t\tlet valid = true;\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tvalid = valid && this.tracks[ i ].validate();\n\n\t\t}\n\n\t\treturn valid;\n\n\t}\n\n\toptimize() {\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tthis.tracks[ i ].optimize();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\tconst tracks = [];\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\ttracks.push( this.tracks[ i ].clone() );\n\n\t\t}\n\n\t\treturn new this.constructor( this.name, this.duration, tracks, this.blendMode );\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.constructor.toJSON( this );\n\n\t}\n\n}\n\nfunction getTrackTypeForValueTypeName( typeName ) {\n\n\tswitch ( typeName.toLowerCase() ) {\n\n\t\tcase 'scalar':\n\t\tcase 'double':\n\t\tcase 'float':\n\t\tcase 'number':\n\t\tcase 'integer':\n\n\t\t\treturn NumberKeyframeTrack;\n\n\t\tcase 'vector':\n\t\tcase 'vector2':\n\t\tcase 'vector3':\n\t\tcase 'vector4':\n\n\t\t\treturn VectorKeyframeTrack;\n\n\t\tcase 'color':\n\n\t\t\treturn ColorKeyframeTrack;\n\n\t\tcase 'quaternion':\n\n\t\t\treturn QuaternionKeyframeTrack;\n\n\t\tcase 'bool':\n\t\tcase 'boolean':\n\n\t\t\treturn BooleanKeyframeTrack;\n\n\t\tcase 'string':\n\n\t\t\treturn StringKeyframeTrack;\n\n\t}\n\n\tthrow new Error( 'THREE.KeyframeTrack: Unsupported typeName: ' + typeName );\n\n}\n\nfunction parseKeyframeTrack( json ) {\n\n\tif ( json.type === undefined ) {\n\n\t\tthrow new Error( 'THREE.KeyframeTrack: track type undefined, can not parse' );\n\n\t}\n\n\tconst trackType = getTrackTypeForValueTypeName( json.type );\n\n\tif ( json.times === undefined ) {\n\n\t\tconst times = [], values = [];\n\n\t\tflattenJSON( json.keys, times, values, 'value' );\n\n\t\tjson.times = times;\n\t\tjson.values = values;\n\n\t}\n\n\t// derived classes can define a static parse method\n\tif ( trackType.parse !== undefined ) {\n\n\t\treturn trackType.parse( json );\n\n\t} else {\n\n\t\t// by default, we assume a constructor compatible with the base\n\t\treturn new trackType( json.name, json.times, json.values, json.interpolation );\n\n\t}\n\n}\n\nconst Cache = {\n\n\tenabled: false,\n\n\tfiles: {},\n\n\tadd: function ( key, file ) {\n\n\t\tif ( this.enabled === false ) return;\n\n\t\t// console.log( 'THREE.Cache', 'Adding key:', key );\n\n\t\tthis.files[ key ] = file;\n\n\t},\n\n\tget: function ( key ) {\n\n\t\tif ( this.enabled === false ) return;\n\n\t\t// console.log( 'THREE.Cache', 'Checking key:', key );\n\n\t\treturn this.files[ key ];\n\n\t},\n\n\tremove: function ( key ) {\n\n\t\tdelete this.files[ key ];\n\n\t},\n\n\tclear: function () {\n\n\t\tthis.files = {};\n\n\t}\n\n};\n\nclass LoadingManager {\n\n\tconstructor( onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tlet isLoading = false;\n\t\tlet itemsLoaded = 0;\n\t\tlet itemsTotal = 0;\n\t\tlet urlModifier = undefined;\n\t\tconst handlers = [];\n\n\t\t// Refer to #5689 for the reason why we don't set .onStart\n\t\t// in the constructor\n\n\t\tthis.onStart = undefined;\n\t\tthis.onLoad = onLoad;\n\t\tthis.onProgress = onProgress;\n\t\tthis.onError = onError;\n\n\t\tthis.itemStart = function ( url ) {\n\n\t\t\titemsTotal ++;\n\n\t\t\tif ( isLoading === false ) {\n\n\t\t\t\tif ( scope.onStart !== undefined ) {\n\n\t\t\t\t\tscope.onStart( url, itemsLoaded, itemsTotal );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tisLoading = true;\n\n\t\t};\n\n\t\tthis.itemEnd = function ( url ) {\n\n\t\t\titemsLoaded ++;\n\n\t\t\tif ( scope.onProgress !== undefined ) {\n\n\t\t\t\tscope.onProgress( url, itemsLoaded, itemsTotal );\n\n\t\t\t}\n\n\t\t\tif ( itemsLoaded === itemsTotal ) {\n\n\t\t\t\tisLoading = false;\n\n\t\t\t\tif ( scope.onLoad !== undefined ) {\n\n\t\t\t\t\tscope.onLoad();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.itemError = function ( url ) {\n\n\t\t\tif ( scope.onError !== undefined ) {\n\n\t\t\t\tscope.onError( url );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.resolveURL = function ( url ) {\n\n\t\t\tif ( urlModifier ) {\n\n\t\t\t\treturn urlModifier( url );\n\n\t\t\t}\n\n\t\t\treturn url;\n\n\t\t};\n\n\t\tthis.setURLModifier = function ( transform ) {\n\n\t\t\turlModifier = transform;\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.addHandler = function ( regex, loader ) {\n\n\t\t\thandlers.push( regex, loader );\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.removeHandler = function ( regex ) {\n\n\t\t\tconst index = handlers.indexOf( regex );\n\n\t\t\tif ( index !== - 1 ) {\n\n\t\t\t\thandlers.splice( index, 2 );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.getHandler = function ( file ) {\n\n\t\t\tfor ( let i = 0, l = handlers.length; i < l; i += 2 ) {\n\n\t\t\t\tconst regex = handlers[ i ];\n\t\t\t\tconst loader = handlers[ i + 1 ];\n\n\t\t\t\tif ( regex.global ) regex.lastIndex = 0; // see #17920\n\n\t\t\t\tif ( regex.test( file ) ) {\n\n\t\t\t\t\treturn loader;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn null;\n\n\t\t};\n\n\t}\n\n}\n\nconst DefaultLoadingManager = /*@__PURE__*/ new LoadingManager();\n\nclass Loader {\n\n\tconstructor( manager ) {\n\n\t\tthis.manager = ( manager !== undefined ) ? manager : DefaultLoadingManager;\n\n\t\tthis.crossOrigin = 'anonymous';\n\t\tthis.withCredentials = false;\n\t\tthis.path = '';\n\t\tthis.resourcePath = '';\n\t\tthis.requestHeader = {};\n\n\t}\n\n\tload( /* url, onLoad, onProgress, onError */ ) {}\n\n\tloadAsync( url, onProgress ) {\n\n\t\tconst scope = this;\n\n\t\treturn new Promise( function ( resolve, reject ) {\n\n\t\t\tscope.load( url, resolve, onProgress, reject );\n\n\t\t} );\n\n\t}\n\n\tparse( /* data */ ) {}\n\n\tsetCrossOrigin( crossOrigin ) {\n\n\t\tthis.crossOrigin = crossOrigin;\n\t\treturn this;\n\n\t}\n\n\tsetWithCredentials( value ) {\n\n\t\tthis.withCredentials = value;\n\t\treturn this;\n\n\t}\n\n\tsetPath( path ) {\n\n\t\tthis.path = path;\n\t\treturn this;\n\n\t}\n\n\tsetResourcePath( resourcePath ) {\n\n\t\tthis.resourcePath = resourcePath;\n\t\treturn this;\n\n\t}\n\n\tsetRequestHeader( requestHeader ) {\n\n\t\tthis.requestHeader = requestHeader;\n\t\treturn this;\n\n\t}\n\n}\n\nLoader.DEFAULT_MATERIAL_NAME = '__DEFAULT';\n\nconst loading = {};\n\nclass HttpError extends Error {\n\n\tconstructor( message, response ) {\n\n\t\tsuper( message );\n\t\tthis.response = response;\n\n\t}\n\n}\n\nclass FileLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( url === undefined ) url = '';\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tthis.manager.itemStart( url );\n\n\t\t\tsetTimeout( () => {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tthis.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\t// Check if request is duplicate\n\n\t\tif ( loading[ url ] !== undefined ) {\n\n\t\t\tloading[ url ].push( {\n\n\t\t\t\tonLoad: onLoad,\n\t\t\t\tonProgress: onProgress,\n\t\t\t\tonError: onError\n\n\t\t\t} );\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// Initialise array for duplicate requests\n\t\tloading[ url ] = [];\n\n\t\tloading[ url ].push( {\n\t\t\tonLoad: onLoad,\n\t\t\tonProgress: onProgress,\n\t\t\tonError: onError,\n\t\t} );\n\n\t\t// create request\n\t\tconst req = new Request( url, {\n\t\t\theaders: new Headers( this.requestHeader ),\n\t\t\tcredentials: this.withCredentials ? 'include' : 'same-origin',\n\t\t\t// An abort controller could be added within a future PR\n\t\t} );\n\n\t\t// record states ( avoid data race )\n\t\tconst mimeType = this.mimeType;\n\t\tconst responseType = this.responseType;\n\n\t\t// start the fetch\n\t\tfetch( req )\n\t\t\t.then( response => {\n\n\t\t\t\tif ( response.status === 200 || response.status === 0 ) {\n\n\t\t\t\t\t// Some browsers return HTTP Status 0 when using non-http protocol\n\t\t\t\t\t// e.g. 'file://' or 'data://'. Handle as success.\n\n\t\t\t\t\tif ( response.status === 0 ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.FileLoader: HTTP Status 0 received.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// Workaround: Checking if response.body === undefined for Alipay browser #23548\n\n\t\t\t\t\tif ( typeof ReadableStream === 'undefined' || response.body === undefined || response.body.getReader === undefined ) {\n\n\t\t\t\t\t\treturn response;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst callbacks = loading[ url ];\n\t\t\t\t\tconst reader = response.body.getReader();\n\n\t\t\t\t\t// Nginx needs X-File-Size check\n\t\t\t\t\t// https://serverfault.com/questions/482875/why-does-nginx-remove-content-length-header-for-chunked-content\n\t\t\t\t\tconst contentLength = response.headers.get( 'Content-Length' ) || response.headers.get( 'X-File-Size' );\n\t\t\t\t\tconst total = contentLength ? parseInt( contentLength ) : 0;\n\t\t\t\t\tconst lengthComputable = total !== 0;\n\t\t\t\t\tlet loaded = 0;\n\n\t\t\t\t\t// periodically read data into the new stream tracking while download progress\n\t\t\t\t\tconst stream = new ReadableStream( {\n\t\t\t\t\t\tstart( controller ) {\n\n\t\t\t\t\t\t\treadData();\n\n\t\t\t\t\t\t\tfunction readData() {\n\n\t\t\t\t\t\t\t\treader.read().then( ( { done, value } ) => {\n\n\t\t\t\t\t\t\t\t\tif ( done ) {\n\n\t\t\t\t\t\t\t\t\t\tcontroller.close();\n\n\t\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\t\tloaded += value.byteLength;\n\n\t\t\t\t\t\t\t\t\t\tconst event = new ProgressEvent( 'progress', { lengthComputable, loaded, total } );\n\t\t\t\t\t\t\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\t\t\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\t\t\t\t\t\t\tif ( callback.onProgress ) callback.onProgress( event );\n\n\t\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t\t\tcontroller.enqueue( value );\n\t\t\t\t\t\t\t\t\t\treadData();\n\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t} );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} );\n\n\t\t\t\t\treturn new Response( stream );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new HttpError( `fetch for \"${response.url}\" responded with ${response.status}: ${response.statusText}`, response );\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.then( response => {\n\n\t\t\t\tswitch ( responseType ) {\n\n\t\t\t\t\tcase 'arraybuffer':\n\n\t\t\t\t\t\treturn response.arrayBuffer();\n\n\t\t\t\t\tcase 'blob':\n\n\t\t\t\t\t\treturn response.blob();\n\n\t\t\t\t\tcase 'document':\n\n\t\t\t\t\t\treturn response.text()\n\t\t\t\t\t\t\t.then( text => {\n\n\t\t\t\t\t\t\t\tconst parser = new DOMParser();\n\t\t\t\t\t\t\t\treturn parser.parseFromString( text, mimeType );\n\n\t\t\t\t\t\t\t} );\n\n\t\t\t\t\tcase 'json':\n\n\t\t\t\t\t\treturn response.json();\n\n\t\t\t\t\tdefault:\n\n\t\t\t\t\t\tif ( mimeType === undefined ) {\n\n\t\t\t\t\t\t\treturn response.text();\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// sniff encoding\n\t\t\t\t\t\t\tconst re = /charset=\"?([^;\"\\s]*)\"?/i;\n\t\t\t\t\t\t\tconst exec = re.exec( mimeType );\n\t\t\t\t\t\t\tconst label = exec && exec[ 1 ] ? exec[ 1 ].toLowerCase() : undefined;\n\t\t\t\t\t\t\tconst decoder = new TextDecoder( label );\n\t\t\t\t\t\t\treturn response.arrayBuffer().then( ab => decoder.decode( ab ) );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.then( data => {\n\n\t\t\t\t// Add to cache only on HTTP success, so that we do not cache\n\t\t\t\t// error response bodies as proper responses to requests.\n\t\t\t\tCache.add( url, data );\n\n\t\t\t\tconst callbacks = loading[ url ];\n\t\t\t\tdelete loading[ url ];\n\n\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\tif ( callback.onLoad ) callback.onLoad( data );\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.catch( err => {\n\n\t\t\t\t// Abort errors and other errors are handled the same\n\n\t\t\t\tconst callbacks = loading[ url ];\n\n\t\t\t\tif ( callbacks === undefined ) {\n\n\t\t\t\t\t// When onLoad was called and url was deleted in `loading`\n\t\t\t\t\tthis.manager.itemError( url );\n\t\t\t\t\tthrow err;\n\n\t\t\t\t}\n\n\t\t\t\tdelete loading[ url ];\n\n\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\tif ( callback.onError ) callback.onError( err );\n\n\t\t\t\t}\n\n\t\t\t\tthis.manager.itemError( url );\n\n\t\t\t} )\n\t\t\t.finally( () => {\n\n\t\t\t\tthis.manager.itemEnd( url );\n\n\t\t\t} );\n\n\t\tthis.manager.itemStart( url );\n\n\t}\n\n\tsetResponseType( value ) {\n\n\t\tthis.responseType = value;\n\t\treturn this;\n\n\t}\n\n\tsetMimeType( value ) {\n\n\t\tthis.mimeType = value;\n\t\treturn this;\n\n\t}\n\n}\n\nclass AnimationLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst animations = [];\n\n\t\tfor ( let i = 0; i < json.length; i ++ ) {\n\n\t\t\tconst clip = AnimationClip.parse( json[ i ] );\n\n\t\t\tanimations.push( clip );\n\n\t\t}\n\n\t\treturn animations;\n\n\t}\n\n}\n\n/**\n * Abstract Base class to block based textures loader (dds, pvr, ...)\n *\n * Sub classes have to implement the parse() method which will be used in load().\n */\n\nclass CompressedTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst images = [];\n\n\t\tconst texture = new CompressedTexture();\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\n\t\tlet loaded = 0;\n\n\t\tfunction loadTexture( i ) {\n\n\t\t\tloader.load( url[ i ], function ( buffer ) {\n\n\t\t\t\tconst texDatas = scope.parse( buffer, true );\n\n\t\t\t\timages[ i ] = {\n\t\t\t\t\twidth: texDatas.width,\n\t\t\t\t\theight: texDatas.height,\n\t\t\t\t\tformat: texDatas.format,\n\t\t\t\t\tmipmaps: texDatas.mipmaps\n\t\t\t\t};\n\n\t\t\t\tloaded += 1;\n\n\t\t\t\tif ( loaded === 6 ) {\n\n\t\t\t\t\tif ( texDatas.mipmapCount === 1 ) texture.minFilter = LinearFilter;\n\n\t\t\t\t\ttexture.image = images;\n\t\t\t\t\ttexture.format = texDatas.format;\n\t\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t\t}\n\n\t\t\t}, onProgress, onError );\n\n\t\t}\n\n\t\tif ( Array.isArray( url ) ) {\n\n\t\t\tfor ( let i = 0, il = url.length; i < il; ++ i ) {\n\n\t\t\t\tloadTexture( i );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// compressed cubemap texture stored in a single DDS file\n\n\t\t\tloader.load( url, function ( buffer ) {\n\n\t\t\t\tconst texDatas = scope.parse( buffer, true );\n\n\t\t\t\tif ( texDatas.isCubemap ) {\n\n\t\t\t\t\tconst faces = texDatas.mipmaps.length / texDatas.mipmapCount;\n\n\t\t\t\t\tfor ( let f = 0; f < faces; f ++ ) {\n\n\t\t\t\t\t\timages[ f ] = { mipmaps: [] };\n\n\t\t\t\t\t\tfor ( let i = 0; i < texDatas.mipmapCount; i ++ ) {\n\n\t\t\t\t\t\t\timages[ f ].mipmaps.push( texDatas.mipmaps[ f * texDatas.mipmapCount + i ] );\n\t\t\t\t\t\t\timages[ f ].format = texDatas.format;\n\t\t\t\t\t\t\timages[ f ].width = texDatas.width;\n\t\t\t\t\t\t\timages[ f ].height = texDatas.height;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.image = images;\n\n\t\t\t\t} else {\n\n\t\t\t\t\ttexture.image.width = texDatas.width;\n\t\t\t\t\ttexture.image.height = texDatas.height;\n\t\t\t\t\ttexture.mipmaps = texDatas.mipmaps;\n\n\t\t\t\t}\n\n\t\t\t\tif ( texDatas.mipmapCount === 1 ) {\n\n\t\t\t\t\ttexture.minFilter = LinearFilter;\n\n\t\t\t\t}\n\n\t\t\t\ttexture.format = texDatas.format;\n\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t}, onProgress, onError );\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass ImageLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst scope = this;\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\tsetTimeout( function () {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\tconst image = createElementNS( 'img' );\n\n\t\tfunction onImageLoad() {\n\n\t\t\tremoveEventListeners();\n\n\t\t\tCache.add( url, this );\n\n\t\t\tif ( onLoad ) onLoad( this );\n\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t}\n\n\t\tfunction onImageError( event ) {\n\n\t\t\tremoveEventListeners();\n\n\t\t\tif ( onError ) onError( event );\n\n\t\t\tscope.manager.itemError( url );\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t}\n\n\t\tfunction removeEventListeners() {\n\n\t\t\timage.removeEventListener( 'load', onImageLoad, false );\n\t\t\timage.removeEventListener( 'error', onImageError, false );\n\n\t\t}\n\n\t\timage.addEventListener( 'load', onImageLoad, false );\n\t\timage.addEventListener( 'error', onImageError, false );\n\n\t\tif ( url.slice( 0, 5 ) !== 'data:' ) {\n\n\t\t\tif ( this.crossOrigin !== undefined ) image.crossOrigin = this.crossOrigin;\n\n\t\t}\n\n\t\tscope.manager.itemStart( url );\n\n\t\timage.src = url;\n\n\t\treturn image;\n\n\t}\n\n}\n\nclass CubeTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( urls, onLoad, onProgress, onError ) {\n\n\t\tconst texture = new CubeTexture();\n\t\ttexture.colorSpace = SRGBColorSpace;\n\n\t\tconst loader = new ImageLoader( this.manager );\n\t\tloader.setCrossOrigin( this.crossOrigin );\n\t\tloader.setPath( this.path );\n\n\t\tlet loaded = 0;\n\n\t\tfunction loadTexture( i ) {\n\n\t\t\tloader.load( urls[ i ], function ( image ) {\n\n\t\t\t\ttexture.images[ i ] = image;\n\n\t\t\t\tloaded ++;\n\n\t\t\t\tif ( loaded === 6 ) {\n\n\t\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t\t}\n\n\t\t\t}, undefined, onError );\n\n\t\t}\n\n\t\tfor ( let i = 0; i < urls.length; ++ i ) {\n\n\t\t\tloadTexture( i );\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n}\n\n/**\n * Abstract Base class to load generic binary textures formats (rgbe, hdr, ...)\n *\n * Sub classes have to implement the parse() method which will be used in load().\n */\n\nclass DataTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst texture = new DataTexture();\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setPath( this.path );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( buffer ) {\n\n\t\t\tlet texData;\n\n\t\t\ttry {\n\n\t\t\t\ttexData = scope.parse( buffer );\n\n\t\t\t} catch ( error ) {\n\n\t\t\t\tif ( onError !== undefined ) {\n\n\t\t\t\t\tonError( error );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( error );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( texData.image !== undefined ) {\n\n\t\t\t\ttexture.image = texData.image;\n\n\t\t\t} else if ( texData.data !== undefined ) {\n\n\t\t\t\ttexture.image.width = texData.width;\n\t\t\t\ttexture.image.height = texData.height;\n\t\t\t\ttexture.image.data = texData.data;\n\n\t\t\t}\n\n\t\t\ttexture.wrapS = texData.wrapS !== undefined ? texData.wrapS : ClampToEdgeWrapping;\n\t\t\ttexture.wrapT = texData.wrapT !== undefined ? texData.wrapT : ClampToEdgeWrapping;\n\n\t\t\ttexture.magFilter = texData.magFilter !== undefined ? texData.magFilter : LinearFilter;\n\t\t\ttexture.minFilter = texData.minFilter !== undefined ? texData.minFilter : LinearFilter;\n\n\t\t\ttexture.anisotropy = texData.anisotropy !== undefined ? texData.anisotropy : 1;\n\n\t\t\tif ( texData.colorSpace !== undefined ) {\n\n\t\t\t\ttexture.colorSpace = texData.colorSpace;\n\n\t\t\t} else if ( texData.encoding !== undefined ) { // @deprecated, r152\n\n\t\t\t\ttexture.encoding = texData.encoding;\n\n\t\t\t}\n\n\t\t\tif ( texData.flipY !== undefined ) {\n\n\t\t\t\ttexture.flipY = texData.flipY;\n\n\t\t\t}\n\n\t\t\tif ( texData.format !== undefined ) {\n\n\t\t\t\ttexture.format = texData.format;\n\n\t\t\t}\n\n\t\t\tif ( texData.type !== undefined ) {\n\n\t\t\t\ttexture.type = texData.type;\n\n\t\t\t}\n\n\t\t\tif ( texData.mipmaps !== undefined ) {\n\n\t\t\t\ttexture.mipmaps = texData.mipmaps;\n\t\t\t\ttexture.minFilter = LinearMipmapLinearFilter; // presumably...\n\n\t\t\t}\n\n\t\t\tif ( texData.mipmapCount === 1 ) {\n\n\t\t\t\ttexture.minFilter = LinearFilter;\n\n\t\t\t}\n\n\t\t\tif ( texData.generateMipmaps !== undefined ) {\n\n\t\t\t\ttexture.generateMipmaps = texData.generateMipmaps;\n\n\t\t\t}\n\n\t\t\ttexture.needsUpdate = true;\n\n\t\t\tif ( onLoad ) onLoad( texture, texData );\n\n\t\t}, onProgress, onError );\n\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass TextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst texture = new Texture();\n\n\t\tconst loader = new ImageLoader( this.manager );\n\t\tloader.setCrossOrigin( this.crossOrigin );\n\t\tloader.setPath( this.path );\n\n\t\tloader.load( url, function ( image ) {\n\n\t\t\ttexture.image = image;\n\t\t\ttexture.needsUpdate = true;\n\n\t\t\tif ( onLoad !== undefined ) {\n\n\t\t\t\tonLoad( texture );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass Light extends Object3D {\n\n\tconstructor( color, intensity = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.isLight = true;\n\n\t\tthis.type = 'Light';\n\n\t\tthis.color = new Color( color );\n\t\tthis.intensity = intensity;\n\n\t}\n\n\tdispose() {\n\n\t\t// Empty here in base class; some subclasses override.\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.color.copy( source.color );\n\t\tthis.intensity = source.intensity;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.color = this.color.getHex();\n\t\tdata.object.intensity = this.intensity;\n\n\t\tif ( this.groundColor !== undefined ) data.object.groundColor = this.groundColor.getHex();\n\n\t\tif ( this.distance !== undefined ) data.object.distance = this.distance;\n\t\tif ( this.angle !== undefined ) data.object.angle = this.angle;\n\t\tif ( this.decay !== undefined ) data.object.decay = this.decay;\n\t\tif ( this.penumbra !== undefined ) data.object.penumbra = this.penumbra;\n\n\t\tif ( this.shadow !== undefined ) data.object.shadow = this.shadow.toJSON();\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass HemisphereLight extends Light {\n\n\tconstructor( skyColor, groundColor, intensity ) {\n\n\t\tsuper( skyColor, intensity );\n\n\t\tthis.isHemisphereLight = true;\n\n\t\tthis.type = 'HemisphereLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.groundColor = new Color( groundColor );\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.groundColor.copy( source.groundColor );\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _projScreenMatrix$1 = /*@__PURE__*/ new Matrix4();\nconst _lightPositionWorld$1 = /*@__PURE__*/ new Vector3();\nconst _lookTarget$1 = /*@__PURE__*/ new Vector3();\n\nclass LightShadow {\n\n\tconstructor( camera ) {\n\n\t\tthis.camera = camera;\n\n\t\tthis.bias = 0;\n\t\tthis.normalBias = 0;\n\t\tthis.radius = 1;\n\t\tthis.blurSamples = 8;\n\n\t\tthis.mapSize = new Vector2( 512, 512 );\n\n\t\tthis.map = null;\n\t\tthis.mapPass = null;\n\t\tthis.matrix = new Matrix4();\n\n\t\tthis.autoUpdate = true;\n\t\tthis.needsUpdate = false;\n\n\t\tthis._frustum = new Frustum();\n\t\tthis._frameExtents = new Vector2( 1, 1 );\n\n\t\tthis._viewportCount = 1;\n\n\t\tthis._viewports = [\n\n\t\t\tnew Vector4( 0, 0, 1, 1 )\n\n\t\t];\n\n\t}\n\n\tgetViewportCount() {\n\n\t\treturn this._viewportCount;\n\n\t}\n\n\tgetFrustum() {\n\n\t\treturn this._frustum;\n\n\t}\n\n\tupdateMatrices( light ) {\n\n\t\tconst shadowCamera = this.camera;\n\t\tconst shadowMatrix = this.matrix;\n\n\t\t_lightPositionWorld$1.setFromMatrixPosition( light.matrixWorld );\n\t\tshadowCamera.position.copy( _lightPositionWorld$1 );\n\n\t\t_lookTarget$1.setFromMatrixPosition( light.target.matrixWorld );\n\t\tshadowCamera.lookAt( _lookTarget$1 );\n\t\tshadowCamera.updateMatrixWorld();\n\n\t\t_projScreenMatrix$1.multiplyMatrices( shadowCamera.projectionMatrix, shadowCamera.matrixWorldInverse );\n\t\tthis._frustum.setFromProjectionMatrix( _projScreenMatrix$1 );\n\n\t\tshadowMatrix.set(\n\t\t\t0.5, 0.0, 0.0, 0.5,\n\t\t\t0.0, 0.5, 0.0, 0.5,\n\t\t\t0.0, 0.0, 0.5, 0.5,\n\t\t\t0.0, 0.0, 0.0, 1.0\n\t\t);\n\n\t\tshadowMatrix.multiply( _projScreenMatrix$1 );\n\n\t}\n\n\tgetViewport( viewportIndex ) {\n\n\t\treturn this._viewports[ viewportIndex ];\n\n\t}\n\n\tgetFrameExtents() {\n\n\t\treturn this._frameExtents;\n\n\t}\n\n\tdispose() {\n\n\t\tif ( this.map ) {\n\n\t\t\tthis.map.dispose();\n\n\t\t}\n\n\t\tif ( this.mapPass ) {\n\n\t\t\tthis.mapPass.dispose();\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.camera = source.camera.clone();\n\n\t\tthis.bias = source.bias;\n\t\tthis.radius = source.radius;\n\n\t\tthis.mapSize.copy( source.mapSize );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst object = {};\n\n\t\tif ( this.bias !== 0 ) object.bias = this.bias;\n\t\tif ( this.normalBias !== 0 ) object.normalBias = this.normalBias;\n\t\tif ( this.radius !== 1 ) object.radius = this.radius;\n\t\tif ( this.mapSize.x !== 512 || this.mapSize.y !== 512 ) object.mapSize = this.mapSize.toArray();\n\n\t\tobject.camera = this.camera.toJSON( false ).object;\n\t\tdelete object.camera.matrix;\n\n\t\treturn object;\n\n\t}\n\n}\n\nclass SpotLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new PerspectiveCamera( 50, 1, 0.5, 500 ) );\n\n\t\tthis.isSpotLightShadow = true;\n\n\t\tthis.focus = 1;\n\n\t}\n\n\tupdateMatrices( light ) {\n\n\t\tconst camera = this.camera;\n\n\t\tconst fov = RAD2DEG * 2 * light.angle * this.focus;\n\t\tconst aspect = this.mapSize.width / this.mapSize.height;\n\t\tconst far = light.distance || camera.far;\n\n\t\tif ( fov !== camera.fov || aspect !== camera.aspect || far !== camera.far ) {\n\n\t\t\tcamera.fov = fov;\n\t\t\tcamera.aspect = aspect;\n\t\t\tcamera.far = far;\n\t\t\tcamera.updateProjectionMatrix();\n\n\t\t}\n\n\t\tsuper.updateMatrices( light );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.focus = source.focus;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass SpotLight extends Light {\n\n\tconstructor( color, intensity, distance = 0, angle = Math.PI / 3, penumbra = 0, decay = 2 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isSpotLight = true;\n\n\t\tthis.type = 'SpotLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.target = new Object3D();\n\n\t\tthis.distance = distance;\n\t\tthis.angle = angle;\n\t\tthis.penumbra = penumbra;\n\t\tthis.decay = decay;\n\n\t\tthis.map = null;\n\n\t\tthis.shadow = new SpotLightShadow();\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in candela)\n\t\t// by convention for a spotlight, luminous power (lm) = π * luminous intensity (cd)\n\t\treturn this.intensity * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in candela) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / Math.PI;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.distance = source.distance;\n\t\tthis.angle = source.angle;\n\t\tthis.penumbra = source.penumbra;\n\t\tthis.decay = source.decay;\n\n\t\tthis.target = source.target.clone();\n\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _projScreenMatrix = /*@__PURE__*/ new Matrix4();\nconst _lightPositionWorld = /*@__PURE__*/ new Vector3();\nconst _lookTarget = /*@__PURE__*/ new Vector3();\n\nclass PointLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new PerspectiveCamera( 90, 1, 0.5, 500 ) );\n\n\t\tthis.isPointLightShadow = true;\n\n\t\tthis._frameExtents = new Vector2( 4, 2 );\n\n\t\tthis._viewportCount = 6;\n\n\t\tthis._viewports = [\n\t\t\t// These viewports map a cube-map onto a 2D texture with the\n\t\t\t// following orientation:\n\t\t\t//\n\t\t\t// xzXZ\n\t\t\t// y Y\n\t\t\t//\n\t\t\t// X - Positive x direction\n\t\t\t// x - Negative x direction\n\t\t\t// Y - Positive y direction\n\t\t\t// y - Negative y direction\n\t\t\t// Z - Positive z direction\n\t\t\t// z - Negative z direction\n\n\t\t\t// positive X\n\t\t\tnew Vector4( 2, 1, 1, 1 ),\n\t\t\t// negative X\n\t\t\tnew Vector4( 0, 1, 1, 1 ),\n\t\t\t// positive Z\n\t\t\tnew Vector4( 3, 1, 1, 1 ),\n\t\t\t// negative Z\n\t\t\tnew Vector4( 1, 1, 1, 1 ),\n\t\t\t// positive Y\n\t\t\tnew Vector4( 3, 0, 1, 1 ),\n\t\t\t// negative Y\n\t\t\tnew Vector4( 1, 0, 1, 1 )\n\t\t];\n\n\t\tthis._cubeDirections = [\n\t\t\tnew Vector3( 1, 0, 0 ), new Vector3( - 1, 0, 0 ), new Vector3( 0, 0, 1 ),\n\t\t\tnew Vector3( 0, 0, - 1 ), new Vector3( 0, 1, 0 ), new Vector3( 0, - 1, 0 )\n\t\t];\n\n\t\tthis._cubeUps = [\n\t\t\tnew Vector3( 0, 1, 0 ), new Vector3( 0, 1, 0 ), new Vector3( 0, 1, 0 ),\n\t\t\tnew Vector3( 0, 1, 0 ), new Vector3( 0, 0, 1 ),\tnew Vector3( 0, 0, - 1 )\n\t\t];\n\n\t}\n\n\tupdateMatrices( light, viewportIndex = 0 ) {\n\n\t\tconst camera = this.camera;\n\t\tconst shadowMatrix = this.matrix;\n\n\t\tconst far = light.distance || camera.far;\n\n\t\tif ( far !== camera.far ) {\n\n\t\t\tcamera.far = far;\n\t\t\tcamera.updateProjectionMatrix();\n\n\t\t}\n\n\t\t_lightPositionWorld.setFromMatrixPosition( light.matrixWorld );\n\t\tcamera.position.copy( _lightPositionWorld );\n\n\t\t_lookTarget.copy( camera.position );\n\t\t_lookTarget.add( this._cubeDirections[ viewportIndex ] );\n\t\tcamera.up.copy( this._cubeUps[ viewportIndex ] );\n\t\tcamera.lookAt( _lookTarget );\n\t\tcamera.updateMatrixWorld();\n\n\t\tshadowMatrix.makeTranslation( - _lightPositionWorld.x, - _lightPositionWorld.y, - _lightPositionWorld.z );\n\n\t\t_projScreenMatrix.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse );\n\t\tthis._frustum.setFromProjectionMatrix( _projScreenMatrix );\n\n\t}\n\n}\n\nclass PointLight extends Light {\n\n\tconstructor( color, intensity, distance = 0, decay = 2 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isPointLight = true;\n\n\t\tthis.type = 'PointLight';\n\n\t\tthis.distance = distance;\n\t\tthis.decay = decay;\n\n\t\tthis.shadow = new PointLightShadow();\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in candela)\n\t\t// for an isotropic light source, luminous power (lm) = 4 π luminous intensity (cd)\n\t\treturn this.intensity * 4 * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in candela) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / ( 4 * Math.PI );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.distance = source.distance;\n\t\tthis.decay = source.decay;\n\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass DirectionalLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new OrthographicCamera( - 5, 5, 5, - 5, 0.5, 500 ) );\n\n\t\tthis.isDirectionalLightShadow = true;\n\n\t}\n\n}\n\nclass DirectionalLight extends Light {\n\n\tconstructor( color, intensity ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isDirectionalLight = true;\n\n\t\tthis.type = 'DirectionalLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.target = new Object3D();\n\n\t\tthis.shadow = new DirectionalLightShadow();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.target = source.target.clone();\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass AmbientLight extends Light {\n\n\tconstructor( color, intensity ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isAmbientLight = true;\n\n\t\tthis.type = 'AmbientLight';\n\n\t}\n\n}\n\nclass RectAreaLight extends Light {\n\n\tconstructor( color, intensity, width = 10, height = 10 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isRectAreaLight = true;\n\n\t\tthis.type = 'RectAreaLight';\n\n\t\tthis.width = width;\n\t\tthis.height = height;\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in nits)\n\t\treturn this.intensity * this.width * this.height * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in nits) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / ( this.width * this.height * Math.PI );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.width = this.width;\n\t\tdata.object.height = this.height;\n\n\t\treturn data;\n\n\t}\n\n}\n\n/**\n * Primary reference:\n * https://graphics.stanford.edu/papers/envmap/envmap.pdf\n *\n * Secondary reference:\n * https://www.ppsloan.org/publications/StupidSH36.pdf\n */\n\n// 3-band SH defined by 9 coefficients\n\nclass SphericalHarmonics3 {\n\n\tconstructor() {\n\n\t\tthis.isSphericalHarmonics3 = true;\n\n\t\tthis.coefficients = [];\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients.push( new Vector3() );\n\n\t\t}\n\n\t}\n\n\tset( coefficients ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].copy( coefficients[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tzero() {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].set( 0, 0, 0 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// get the radiance in the direction of the normal\n\t// target is a Vector3\n\tgetAt( normal, target ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\tconst coeff = this.coefficients;\n\n\t\t// band 0\n\t\ttarget.copy( coeff[ 0 ] ).multiplyScalar( 0.282095 );\n\n\t\t// band 1\n\t\ttarget.addScaledVector( coeff[ 1 ], 0.488603 * y );\n\t\ttarget.addScaledVector( coeff[ 2 ], 0.488603 * z );\n\t\ttarget.addScaledVector( coeff[ 3 ], 0.488603 * x );\n\n\t\t// band 2\n\t\ttarget.addScaledVector( coeff[ 4 ], 1.092548 * ( x * y ) );\n\t\ttarget.addScaledVector( coeff[ 5 ], 1.092548 * ( y * z ) );\n\t\ttarget.addScaledVector( coeff[ 6 ], 0.315392 * ( 3.0 * z * z - 1.0 ) );\n\t\ttarget.addScaledVector( coeff[ 7 ], 1.092548 * ( x * z ) );\n\t\ttarget.addScaledVector( coeff[ 8 ], 0.546274 * ( x * x - y * y ) );\n\n\t\treturn target;\n\n\t}\n\n\t// get the irradiance (radiance convolved with cosine lobe) in the direction of the normal\n\t// target is a Vector3\n\t// https://graphics.stanford.edu/papers/envmap/envmap.pdf\n\tgetIrradianceAt( normal, target ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\tconst coeff = this.coefficients;\n\n\t\t// band 0\n\t\ttarget.copy( coeff[ 0 ] ).multiplyScalar( 0.886227 ); // π * 0.282095\n\n\t\t// band 1\n\t\ttarget.addScaledVector( coeff[ 1 ], 2.0 * 0.511664 * y ); // ( 2 * π / 3 ) * 0.488603\n\t\ttarget.addScaledVector( coeff[ 2 ], 2.0 * 0.511664 * z );\n\t\ttarget.addScaledVector( coeff[ 3 ], 2.0 * 0.511664 * x );\n\n\t\t// band 2\n\t\ttarget.addScaledVector( coeff[ 4 ], 2.0 * 0.429043 * x * y ); // ( π / 4 ) * 1.092548\n\t\ttarget.addScaledVector( coeff[ 5 ], 2.0 * 0.429043 * y * z );\n\t\ttarget.addScaledVector( coeff[ 6 ], 0.743125 * z * z - 0.247708 ); // ( π / 4 ) * 0.315392 * 3\n\t\ttarget.addScaledVector( coeff[ 7 ], 2.0 * 0.429043 * x * z );\n\t\ttarget.addScaledVector( coeff[ 8 ], 0.429043 * ( x * x - y * y ) ); // ( π / 4 ) * 0.546274\n\n\t\treturn target;\n\n\t}\n\n\tadd( sh ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].add( sh.coefficients[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\taddScaledSH( sh, s ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].addScaledVector( sh.coefficients[ i ], s );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tscale( s ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].multiplyScalar( s );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tlerp( sh, alpha ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].lerp( sh.coefficients[ i ], alpha );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tequals( sh ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tif ( ! this.coefficients[ i ].equals( sh.coefficients[ i ] ) ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tcopy( sh ) {\n\n\t\treturn this.set( sh.coefficients );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tconst coefficients = this.coefficients;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tcoefficients[ i ].fromArray( array, offset + ( i * 3 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst coefficients = this.coefficients;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tcoefficients[ i ].toArray( array, offset + ( i * 3 ) );\n\n\t\t}\n\n\t\treturn array;\n\n\t}\n\n\t// evaluate the basis functions\n\t// shBasis is an Array[ 9 ]\n\tstatic getBasisAt( normal, shBasis ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\t// band 0\n\t\tshBasis[ 0 ] = 0.282095;\n\n\t\t// band 1\n\t\tshBasis[ 1 ] = 0.488603 * y;\n\t\tshBasis[ 2 ] = 0.488603 * z;\n\t\tshBasis[ 3 ] = 0.488603 * x;\n\n\t\t// band 2\n\t\tshBasis[ 4 ] = 1.092548 * x * y;\n\t\tshBasis[ 5 ] = 1.092548 * y * z;\n\t\tshBasis[ 6 ] = 0.315392 * ( 3 * z * z - 1 );\n\t\tshBasis[ 7 ] = 1.092548 * x * z;\n\t\tshBasis[ 8 ] = 0.546274 * ( x * x - y * y );\n\n\t}\n\n}\n\nclass LightProbe extends Light {\n\n\tconstructor( sh = new SphericalHarmonics3(), intensity = 1 ) {\n\n\t\tsuper( undefined, intensity );\n\n\t\tthis.isLightProbe = true;\n\n\t\tthis.sh = sh;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.sh.copy( source.sh );\n\n\t\treturn this;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tthis.intensity = json.intensity; // TODO: Move this bit to Light.fromJSON();\n\t\tthis.sh.fromArray( json.sh );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.sh = this.sh.toArray();\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass MaterialLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\t\tthis.textures = {};\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( scope.manager );\n\t\tloader.setPath( scope.path );\n\t\tloader.setRequestHeader( scope.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst textures = this.textures;\n\n\t\tfunction getTexture( name ) {\n\n\t\t\tif ( textures[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.MaterialLoader: Undefined texture', name );\n\n\t\t\t}\n\n\t\t\treturn textures[ name ];\n\n\t\t}\n\n\t\tconst material = MaterialLoader.createMaterialFromType( json.type );\n\n\t\tif ( json.uuid !== undefined ) material.uuid = json.uuid;\n\t\tif ( json.name !== undefined ) material.name = json.name;\n\t\tif ( json.color !== undefined && material.color !== undefined ) material.color.setHex( json.color );\n\t\tif ( json.roughness !== undefined ) material.roughness = json.roughness;\n\t\tif ( json.metalness !== undefined ) material.metalness = json.metalness;\n\t\tif ( json.sheen !== undefined ) material.sheen = json.sheen;\n\t\tif ( json.sheenColor !== undefined ) material.sheenColor = new Color().setHex( json.sheenColor );\n\t\tif ( json.sheenRoughness !== undefined ) material.sheenRoughness = json.sheenRoughness;\n\t\tif ( json.emissive !== undefined && material.emissive !== undefined ) material.emissive.setHex( json.emissive );\n\t\tif ( json.specular !== undefined && material.specular !== undefined ) material.specular.setHex( json.specular );\n\t\tif ( json.specularIntensity !== undefined ) material.specularIntensity = json.specularIntensity;\n\t\tif ( json.specularColor !== undefined && material.specularColor !== undefined ) material.specularColor.setHex( json.specularColor );\n\t\tif ( json.shininess !== undefined ) material.shininess = json.shininess;\n\t\tif ( json.clearcoat !== undefined ) material.clearcoat = json.clearcoat;\n\t\tif ( json.clearcoatRoughness !== undefined ) material.clearcoatRoughness = json.clearcoatRoughness;\n\t\tif ( json.iridescence !== undefined ) material.iridescence = json.iridescence;\n\t\tif ( json.iridescenceIOR !== undefined ) material.iridescenceIOR = json.iridescenceIOR;\n\t\tif ( json.iridescenceThicknessRange !== undefined ) material.iridescenceThicknessRange = json.iridescenceThicknessRange;\n\t\tif ( json.transmission !== undefined ) material.transmission = json.transmission;\n\t\tif ( json.thickness !== undefined ) material.thickness = json.thickness;\n\t\tif ( json.attenuationDistance !== undefined ) material.attenuationDistance = json.attenuationDistance;\n\t\tif ( json.attenuationColor !== undefined && material.attenuationColor !== undefined ) material.attenuationColor.setHex( json.attenuationColor );\n\t\tif ( json.anisotropy !== undefined ) material.anisotropy = json.anisotropy;\n\t\tif ( json.anisotropyRotation !== undefined ) material.anisotropyRotation = json.anisotropyRotation;\n\t\tif ( json.fog !== undefined ) material.fog = json.fog;\n\t\tif ( json.flatShading !== undefined ) material.flatShading = json.flatShading;\n\t\tif ( json.blending !== undefined ) material.blending = json.blending;\n\t\tif ( json.combine !== undefined ) material.combine = json.combine;\n\t\tif ( json.side !== undefined ) material.side = json.side;\n\t\tif ( json.shadowSide !== undefined ) material.shadowSide = json.shadowSide;\n\t\tif ( json.opacity !== undefined ) material.opacity = json.opacity;\n\t\tif ( json.transparent !== undefined ) material.transparent = json.transparent;\n\t\tif ( json.alphaTest !== undefined ) material.alphaTest = json.alphaTest;\n\t\tif ( json.alphaHash !== undefined ) material.alphaHash = json.alphaHash;\n\t\tif ( json.depthFunc !== undefined ) material.depthFunc = json.depthFunc;\n\t\tif ( json.depthTest !== undefined ) material.depthTest = json.depthTest;\n\t\tif ( json.depthWrite !== undefined ) material.depthWrite = json.depthWrite;\n\t\tif ( json.colorWrite !== undefined ) material.colorWrite = json.colorWrite;\n\t\tif ( json.blendSrc !== undefined ) material.blendSrc = json.blendSrc;\n\t\tif ( json.blendDst !== undefined ) material.blendDst = json.blendDst;\n\t\tif ( json.blendEquation !== undefined ) material.blendEquation = json.blendEquation;\n\t\tif ( json.blendSrcAlpha !== undefined ) material.blendSrcAlpha = json.blendSrcAlpha;\n\t\tif ( json.blendDstAlpha !== undefined ) material.blendDstAlpha = json.blendDstAlpha;\n\t\tif ( json.blendEquationAlpha !== undefined ) material.blendEquationAlpha = json.blendEquationAlpha;\n\t\tif ( json.blendColor !== undefined && material.blendColor !== undefined ) material.blendColor.setHex( json.blendColor );\n\t\tif ( json.blendAlpha !== undefined ) material.blendAlpha = json.blendAlpha;\n\t\tif ( json.stencilWriteMask !== undefined ) material.stencilWriteMask = json.stencilWriteMask;\n\t\tif ( json.stencilFunc !== undefined ) material.stencilFunc = json.stencilFunc;\n\t\tif ( json.stencilRef !== undefined ) material.stencilRef = json.stencilRef;\n\t\tif ( json.stencilFuncMask !== undefined ) material.stencilFuncMask = json.stencilFuncMask;\n\t\tif ( json.stencilFail !== undefined ) material.stencilFail = json.stencilFail;\n\t\tif ( json.stencilZFail !== undefined ) material.stencilZFail = json.stencilZFail;\n\t\tif ( json.stencilZPass !== undefined ) material.stencilZPass = json.stencilZPass;\n\t\tif ( json.stencilWrite !== undefined ) material.stencilWrite = json.stencilWrite;\n\n\t\tif ( json.wireframe !== undefined ) material.wireframe = json.wireframe;\n\t\tif ( json.wireframeLinewidth !== undefined ) material.wireframeLinewidth = json.wireframeLinewidth;\n\t\tif ( json.wireframeLinecap !== undefined ) material.wireframeLinecap = json.wireframeLinecap;\n\t\tif ( json.wireframeLinejoin !== undefined ) material.wireframeLinejoin = json.wireframeLinejoin;\n\n\t\tif ( json.rotation !== undefined ) material.rotation = json.rotation;\n\n\t\tif ( json.linewidth !== undefined ) material.linewidth = json.linewidth;\n\t\tif ( json.dashSize !== undefined ) material.dashSize = json.dashSize;\n\t\tif ( json.gapSize !== undefined ) material.gapSize = json.gapSize;\n\t\tif ( json.scale !== undefined ) material.scale = json.scale;\n\n\t\tif ( json.polygonOffset !== undefined ) material.polygonOffset = json.polygonOffset;\n\t\tif ( json.polygonOffsetFactor !== undefined ) material.polygonOffsetFactor = json.polygonOffsetFactor;\n\t\tif ( json.polygonOffsetUnits !== undefined ) material.polygonOffsetUnits = json.polygonOffsetUnits;\n\n\t\tif ( json.dithering !== undefined ) material.dithering = json.dithering;\n\n\t\tif ( json.alphaToCoverage !== undefined ) material.alphaToCoverage = json.alphaToCoverage;\n\t\tif ( json.premultipliedAlpha !== undefined ) material.premultipliedAlpha = json.premultipliedAlpha;\n\t\tif ( json.forceSinglePass !== undefined ) material.forceSinglePass = json.forceSinglePass;\n\n\t\tif ( json.visible !== undefined ) material.visible = json.visible;\n\n\t\tif ( json.toneMapped !== undefined ) material.toneMapped = json.toneMapped;\n\n\t\tif ( json.userData !== undefined ) material.userData = json.userData;\n\n\t\tif ( json.vertexColors !== undefined ) {\n\n\t\t\tif ( typeof json.vertexColors === 'number' ) {\n\n\t\t\t\tmaterial.vertexColors = ( json.vertexColors > 0 ) ? true : false;\n\n\t\t\t} else {\n\n\t\t\t\tmaterial.vertexColors = json.vertexColors;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Shader Material\n\n\t\tif ( json.uniforms !== undefined ) {\n\n\t\t\tfor ( const name in json.uniforms ) {\n\n\t\t\t\tconst uniform = json.uniforms[ name ];\n\n\t\t\t\tmaterial.uniforms[ name ] = {};\n\n\t\t\t\tswitch ( uniform.type ) {\n\n\t\t\t\t\tcase 't':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = getTexture( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'c':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Color().setHex( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v2':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector2().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v3':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector3().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v4':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector4().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'm3':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Matrix3().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'm4':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Matrix4().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = uniform.value;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json.defines !== undefined ) material.defines = json.defines;\n\t\tif ( json.vertexShader !== undefined ) material.vertexShader = json.vertexShader;\n\t\tif ( json.fragmentShader !== undefined ) material.fragmentShader = json.fragmentShader;\n\t\tif ( json.glslVersion !== undefined ) material.glslVersion = json.glslVersion;\n\n\t\tif ( json.extensions !== undefined ) {\n\n\t\t\tfor ( const key in json.extensions ) {\n\n\t\t\t\tmaterial.extensions[ key ] = json.extensions[ key ];\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json.lights !== undefined ) material.lights = json.lights;\n\t\tif ( json.clipping !== undefined ) material.clipping = json.clipping;\n\n\t\t// for PointsMaterial\n\n\t\tif ( json.size !== undefined ) material.size = json.size;\n\t\tif ( json.sizeAttenuation !== undefined ) material.sizeAttenuation = json.sizeAttenuation;\n\n\t\t// maps\n\n\t\tif ( json.map !== undefined ) material.map = getTexture( json.map );\n\t\tif ( json.matcap !== undefined ) material.matcap = getTexture( json.matcap );\n\n\t\tif ( json.alphaMap !== undefined ) material.alphaMap = getTexture( json.alphaMap );\n\n\t\tif ( json.bumpMap !== undefined ) material.bumpMap = getTexture( json.bumpMap );\n\t\tif ( json.bumpScale !== undefined ) material.bumpScale = json.bumpScale;\n\n\t\tif ( json.normalMap !== undefined ) material.normalMap = getTexture( json.normalMap );\n\t\tif ( json.normalMapType !== undefined ) material.normalMapType = json.normalMapType;\n\t\tif ( json.normalScale !== undefined ) {\n\n\t\t\tlet normalScale = json.normalScale;\n\n\t\t\tif ( Array.isArray( normalScale ) === false ) {\n\n\t\t\t\t// Blender exporter used to export a scalar. See #7459\n\n\t\t\t\tnormalScale = [ normalScale, normalScale ];\n\n\t\t\t}\n\n\t\t\tmaterial.normalScale = new Vector2().fromArray( normalScale );\n\n\t\t}\n\n\t\tif ( json.displacementMap !== undefined ) material.displacementMap = getTexture( json.displacementMap );\n\t\tif ( json.displacementScale !== undefined ) material.displacementScale = json.displacementScale;\n\t\tif ( json.displacementBias !== undefined ) material.displacementBias = json.displacementBias;\n\n\t\tif ( json.roughnessMap !== undefined ) material.roughnessMap = getTexture( json.roughnessMap );\n\t\tif ( json.metalnessMap !== undefined ) material.metalnessMap = getTexture( json.metalnessMap );\n\n\t\tif ( json.emissiveMap !== undefined ) material.emissiveMap = getTexture( json.emissiveMap );\n\t\tif ( json.emissiveIntensity !== undefined ) material.emissiveIntensity = json.emissiveIntensity;\n\n\t\tif ( json.specularMap !== undefined ) material.specularMap = getTexture( json.specularMap );\n\t\tif ( json.specularIntensityMap !== undefined ) material.specularIntensityMap = getTexture( json.specularIntensityMap );\n\t\tif ( json.specularColorMap !== undefined ) material.specularColorMap = getTexture( json.specularColorMap );\n\n\t\tif ( json.envMap !== undefined ) material.envMap = getTexture( json.envMap );\n\t\tif ( json.envMapIntensity !== undefined ) material.envMapIntensity = json.envMapIntensity;\n\n\t\tif ( json.reflectivity !== undefined ) material.reflectivity = json.reflectivity;\n\t\tif ( json.refractionRatio !== undefined ) material.refractionRatio = json.refractionRatio;\n\n\t\tif ( json.lightMap !== undefined ) material.lightMap = getTexture( json.lightMap );\n\t\tif ( json.lightMapIntensity !== undefined ) material.lightMapIntensity = json.lightMapIntensity;\n\n\t\tif ( json.aoMap !== undefined ) material.aoMap = getTexture( json.aoMap );\n\t\tif ( json.aoMapIntensity !== undefined ) material.aoMapIntensity = json.aoMapIntensity;\n\n\t\tif ( json.gradientMap !== undefined ) material.gradientMap = getTexture( json.gradientMap );\n\n\t\tif ( json.clearcoatMap !== undefined ) material.clearcoatMap = getTexture( json.clearcoatMap );\n\t\tif ( json.clearcoatRoughnessMap !== undefined ) material.clearcoatRoughnessMap = getTexture( json.clearcoatRoughnessMap );\n\t\tif ( json.clearcoatNormalMap !== undefined ) material.clearcoatNormalMap = getTexture( json.clearcoatNormalMap );\n\t\tif ( json.clearcoatNormalScale !== undefined ) material.clearcoatNormalScale = new Vector2().fromArray( json.clearcoatNormalScale );\n\n\t\tif ( json.iridescenceMap !== undefined ) material.iridescenceMap = getTexture( json.iridescenceMap );\n\t\tif ( json.iridescenceThicknessMap !== undefined ) material.iridescenceThicknessMap = getTexture( json.iridescenceThicknessMap );\n\n\t\tif ( json.transmissionMap !== undefined ) material.transmissionMap = getTexture( json.transmissionMap );\n\t\tif ( json.thicknessMap !== undefined ) material.thicknessMap = getTexture( json.thicknessMap );\n\n\t\tif ( json.anisotropyMap !== undefined ) material.anisotropyMap = getTexture( json.anisotropyMap );\n\n\t\tif ( json.sheenColorMap !== undefined ) material.sheenColorMap = getTexture( json.sheenColorMap );\n\t\tif ( json.sheenRoughnessMap !== undefined ) material.sheenRoughnessMap = getTexture( json.sheenRoughnessMap );\n\n\t\treturn material;\n\n\t}\n\n\tsetTextures( value ) {\n\n\t\tthis.textures = value;\n\t\treturn this;\n\n\t}\n\n\tstatic createMaterialFromType( type ) {\n\n\t\tconst materialLib = {\n\t\t\tShadowMaterial,\n\t\t\tSpriteMaterial,\n\t\t\tRawShaderMaterial,\n\t\t\tShaderMaterial,\n\t\t\tPointsMaterial,\n\t\t\tMeshPhysicalMaterial,\n\t\t\tMeshStandardMaterial,\n\t\t\tMeshPhongMaterial,\n\t\t\tMeshToonMaterial,\n\t\t\tMeshNormalMaterial,\n\t\t\tMeshLambertMaterial,\n\t\t\tMeshDepthMaterial,\n\t\t\tMeshDistanceMaterial,\n\t\t\tMeshBasicMaterial,\n\t\t\tMeshMatcapMaterial,\n\t\t\tLineDashedMaterial,\n\t\t\tLineBasicMaterial,\n\t\t\tMaterial\n\t\t};\n\n\t\treturn new materialLib[ type ]();\n\n\t}\n\n}\n\nclass LoaderUtils {\n\n\tstatic decodeText( array ) {\n\n\t\tif ( typeof TextDecoder !== 'undefined' ) {\n\n\t\t\treturn new TextDecoder().decode( array );\n\n\t\t}\n\n\t\t// Avoid the String.fromCharCode.apply(null, array) shortcut, which\n\t\t// throws a \"maximum call stack size exceeded\" error for large arrays.\n\n\t\tlet s = '';\n\n\t\tfor ( let i = 0, il = array.length; i < il; i ++ ) {\n\n\t\t\t// Implicitly assumes little-endian.\n\t\t\ts += String.fromCharCode( array[ i ] );\n\n\t\t}\n\n\t\ttry {\n\n\t\t\t// merges multi-byte utf-8 characters.\n\n\t\t\treturn decodeURIComponent( escape( s ) );\n\n\t\t} catch ( e ) { // see #16358\n\n\t\t\treturn s;\n\n\t\t}\n\n\t}\n\n\tstatic extractUrlBase( url ) {\n\n\t\tconst index = url.lastIndexOf( '/' );\n\n\t\tif ( index === - 1 ) return './';\n\n\t\treturn url.slice( 0, index + 1 );\n\n\t}\n\n\tstatic resolveURL( url, path ) {\n\n\t\t// Invalid URL\n\t\tif ( typeof url !== 'string' || url === '' ) return '';\n\n\t\t// Host Relative URL\n\t\tif ( /^https?:\\/\\//i.test( path ) && /^\\//.test( url ) ) {\n\n\t\t\tpath = path.replace( /(^https?:\\/\\/[^\\/]+).*/i, '$1' );\n\n\t\t}\n\n\t\t// Absolute URL http://,https://,//\n\t\tif ( /^(https?:)?\\/\\//i.test( url ) ) return url;\n\n\t\t// Data URI\n\t\tif ( /^data:.*,.*$/i.test( url ) ) return url;\n\n\t\t// Blob URL\n\t\tif ( /^blob:.*$/i.test( url ) ) return url;\n\n\t\t// Relative URL\n\t\treturn path + url;\n\n\t}\n\n}\n\nclass InstancedBufferGeometry extends BufferGeometry {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isInstancedBufferGeometry = true;\n\n\t\tthis.type = 'InstancedBufferGeometry';\n\t\tthis.instanceCount = Infinity;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.instanceCount = source.instanceCount;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.instanceCount = this.instanceCount;\n\n\t\tdata.isInstancedBufferGeometry = true;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass BufferGeometryLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( scope.manager );\n\t\tloader.setPath( scope.path );\n\t\tloader.setRequestHeader( scope.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst interleavedBufferMap = {};\n\t\tconst arrayBufferMap = {};\n\n\t\tfunction getInterleavedBuffer( json, uuid ) {\n\n\t\t\tif ( interleavedBufferMap[ uuid ] !== undefined ) return interleavedBufferMap[ uuid ];\n\n\t\t\tconst interleavedBuffers = json.interleavedBuffers;\n\t\t\tconst interleavedBuffer = interleavedBuffers[ uuid ];\n\n\t\t\tconst buffer = getArrayBuffer( json, interleavedBuffer.buffer );\n\n\t\t\tconst array = getTypedArray( interleavedBuffer.type, buffer );\n\t\t\tconst ib = new InterleavedBuffer( array, interleavedBuffer.stride );\n\t\t\tib.uuid = interleavedBuffer.uuid;\n\n\t\t\tinterleavedBufferMap[ uuid ] = ib;\n\n\t\t\treturn ib;\n\n\t\t}\n\n\t\tfunction getArrayBuffer( json, uuid ) {\n\n\t\t\tif ( arrayBufferMap[ uuid ] !== undefined ) return arrayBufferMap[ uuid ];\n\n\t\t\tconst arrayBuffers = json.arrayBuffers;\n\t\t\tconst arrayBuffer = arrayBuffers[ uuid ];\n\n\t\t\tconst ab = new Uint32Array( arrayBuffer ).buffer;\n\n\t\t\tarrayBufferMap[ uuid ] = ab;\n\n\t\t\treturn ab;\n\n\t\t}\n\n\t\tconst geometry = json.isInstancedBufferGeometry ? new InstancedBufferGeometry() : new BufferGeometry();\n\n\t\tconst index = json.data.index;\n\n\t\tif ( index !== undefined ) {\n\n\t\t\tconst typedArray = getTypedArray( index.type, index.array );\n\t\t\tgeometry.setIndex( new BufferAttribute( typedArray, 1 ) );\n\n\t\t}\n\n\t\tconst attributes = json.data.attributes;\n\n\t\tfor ( const key in attributes ) {\n\n\t\t\tconst attribute = attributes[ key ];\n\t\t\tlet bufferAttribute;\n\n\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\tconst interleavedBuffer = getInterleavedBuffer( json.data, attribute.data );\n\t\t\t\tbufferAttribute = new InterleavedBufferAttribute( interleavedBuffer, attribute.itemSize, attribute.offset, attribute.normalized );\n\n\t\t\t} else {\n\n\t\t\t\tconst typedArray = getTypedArray( attribute.type, attribute.array );\n\t\t\t\tconst bufferAttributeConstr = attribute.isInstancedBufferAttribute ? InstancedBufferAttribute : BufferAttribute;\n\t\t\t\tbufferAttribute = new bufferAttributeConstr( typedArray, attribute.itemSize, attribute.normalized );\n\n\t\t\t}\n\n\t\t\tif ( attribute.name !== undefined ) bufferAttribute.name = attribute.name;\n\t\t\tif ( attribute.usage !== undefined ) bufferAttribute.setUsage( attribute.usage );\n\n\t\t\tgeometry.setAttribute( key, bufferAttribute );\n\n\t\t}\n\n\t\tconst morphAttributes = json.data.morphAttributes;\n\n\t\tif ( morphAttributes ) {\n\n\t\t\tfor ( const key in morphAttributes ) {\n\n\t\t\t\tconst attributeArray = morphAttributes[ key ];\n\n\t\t\t\tconst array = [];\n\n\t\t\t\tfor ( let i = 0, il = attributeArray.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst attribute = attributeArray[ i ];\n\t\t\t\t\tlet bufferAttribute;\n\n\t\t\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\t\tconst interleavedBuffer = getInterleavedBuffer( json.data, attribute.data );\n\t\t\t\t\t\tbufferAttribute = new InterleavedBufferAttribute( interleavedBuffer, attribute.itemSize, attribute.offset, attribute.normalized );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst typedArray = getTypedArray( attribute.type, attribute.array );\n\t\t\t\t\t\tbufferAttribute = new BufferAttribute( typedArray, attribute.itemSize, attribute.normalized );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( attribute.name !== undefined ) bufferAttribute.name = attribute.name;\n\t\t\t\t\tarray.push( bufferAttribute );\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.morphAttributes[ key ] = array;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst morphTargetsRelative = json.data.morphTargetsRelative;\n\n\t\tif ( morphTargetsRelative ) {\n\n\t\t\tgeometry.morphTargetsRelative = true;\n\n\t\t}\n\n\t\tconst groups = json.data.groups || json.data.drawcalls || json.data.offsets;\n\n\t\tif ( groups !== undefined ) {\n\n\t\t\tfor ( let i = 0, n = groups.length; i !== n; ++ i ) {\n\n\t\t\t\tconst group = groups[ i ];\n\n\t\t\t\tgeometry.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst boundingSphere = json.data.boundingSphere;\n\n\t\tif ( boundingSphere !== undefined ) {\n\n\t\t\tconst center = new Vector3();\n\n\t\t\tif ( boundingSphere.center !== undefined ) {\n\n\t\t\t\tcenter.fromArray( boundingSphere.center );\n\n\t\t\t}\n\n\t\t\tgeometry.boundingSphere = new Sphere( center, boundingSphere.radius );\n\n\t\t}\n\n\t\tif ( json.name ) geometry.name = json.name;\n\t\tif ( json.userData ) geometry.userData = json.userData;\n\n\t\treturn geometry;\n\n\t}\n\n}\n\nclass ObjectLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst path = ( this.path === '' ) ? LoaderUtils.extractUrlBase( url ) : this.path;\n\t\tthis.resourcePath = this.resourcePath || path;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\tlet json = null;\n\n\t\t\ttry {\n\n\t\t\t\tjson = JSON.parse( text );\n\n\t\t\t} catch ( error ) {\n\n\t\t\t\tif ( onError !== undefined ) onError( error );\n\n\t\t\t\tconsole.error( 'THREE:ObjectLoader: Can\\'t parse ' + url + '.', error.message );\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst metadata = json.metadata;\n\n\t\t\tif ( metadata === undefined || metadata.type === undefined || metadata.type.toLowerCase() === 'geometry' ) {\n\n\t\t\t\tif ( onError !== undefined ) onError( new Error( 'THREE.ObjectLoader: Can\\'t load ' + url ) );\n\n\t\t\t\tconsole.error( 'THREE.ObjectLoader: Can\\'t load ' + url );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tscope.parse( json, onLoad );\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tasync loadAsync( url, onProgress ) {\n\n\t\tconst scope = this;\n\n\t\tconst path = ( this.path === '' ) ? LoaderUtils.extractUrlBase( url ) : this.path;\n\t\tthis.resourcePath = this.resourcePath || path;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\n\t\tconst text = await loader.loadAsync( url, onProgress );\n\n\t\tconst json = JSON.parse( text );\n\n\t\tconst metadata = json.metadata;\n\n\t\tif ( metadata === undefined || metadata.type === undefined || metadata.type.toLowerCase() === 'geometry' ) {\n\n\t\t\tthrow new Error( 'THREE.ObjectLoader: Can\\'t load ' + url );\n\n\t\t}\n\n\t\treturn await scope.parseAsync( json );\n\n\t}\n\n\tparse( json, onLoad ) {\n\n\t\tconst animations = this.parseAnimations( json.animations );\n\t\tconst shapes = this.parseShapes( json.shapes );\n\t\tconst geometries = this.parseGeometries( json.geometries, shapes );\n\n\t\tconst images = this.parseImages( json.images, function () {\n\n\t\t\tif ( onLoad !== undefined ) onLoad( object );\n\n\t\t} );\n\n\t\tconst textures = this.parseTextures( json.textures, images );\n\t\tconst materials = this.parseMaterials( json.materials, textures );\n\n\t\tconst object = this.parseObject( json.object, geometries, materials, textures, animations );\n\t\tconst skeletons = this.parseSkeletons( json.skeletons, object );\n\n\t\tthis.bindSkeletons( object, skeletons );\n\n\t\t//\n\n\t\tif ( onLoad !== undefined ) {\n\n\t\t\tlet hasImages = false;\n\n\t\t\tfor ( const uuid in images ) {\n\n\t\t\t\tif ( images[ uuid ].data instanceof HTMLImageElement ) {\n\n\t\t\t\t\thasImages = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( hasImages === false ) onLoad( object );\n\n\t\t}\n\n\t\treturn object;\n\n\t}\n\n\tasync parseAsync( json ) {\n\n\t\tconst animations = this.parseAnimations( json.animations );\n\t\tconst shapes = this.parseShapes( json.shapes );\n\t\tconst geometries = this.parseGeometries( json.geometries, shapes );\n\n\t\tconst images = await this.parseImagesAsync( json.images );\n\n\t\tconst textures = this.parseTextures( json.textures, images );\n\t\tconst materials = this.parseMaterials( json.materials, textures );\n\n\t\tconst object = this.parseObject( json.object, geometries, materials, textures, animations );\n\t\tconst skeletons = this.parseSkeletons( json.skeletons, object );\n\n\t\tthis.bindSkeletons( object, skeletons );\n\n\t\treturn object;\n\n\t}\n\n\tparseShapes( json ) {\n\n\t\tconst shapes = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst shape = new Shape().fromJSON( json[ i ] );\n\n\t\t\t\tshapes[ shape.uuid ] = shape;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn shapes;\n\n\t}\n\n\tparseSkeletons( json, object ) {\n\n\t\tconst skeletons = {};\n\t\tconst bones = {};\n\n\t\t// generate bone lookup table\n\n\t\tobject.traverse( function ( child ) {\n\n\t\t\tif ( child.isBone ) bones[ child.uuid ] = child;\n\n\t\t} );\n\n\t\t// create skeletons\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst skeleton = new Skeleton().fromJSON( json[ i ], bones );\n\n\t\t\t\tskeletons[ skeleton.uuid ] = skeleton;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn skeletons;\n\n\t}\n\n\tparseGeometries( json, shapes ) {\n\n\t\tconst geometries = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tconst bufferGeometryLoader = new BufferGeometryLoader();\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tlet geometry;\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tswitch ( data.type ) {\n\n\t\t\t\t\tcase 'BufferGeometry':\n\t\t\t\t\tcase 'InstancedBufferGeometry':\n\n\t\t\t\t\t\tgeometry = bufferGeometryLoader.parse( data );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tdefault:\n\n\t\t\t\t\t\tif ( data.type in Geometries ) {\n\n\t\t\t\t\t\t\tgeometry = Geometries[ data.type ].fromJSON( data, shapes );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tconsole.warn( `THREE.ObjectLoader: Unsupported geometry type \"${ data.type }\"` );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.uuid = data.uuid;\n\n\t\t\t\tif ( data.name !== undefined ) geometry.name = data.name;\n\t\t\t\tif ( data.userData !== undefined ) geometry.userData = data.userData;\n\n\t\t\t\tgeometries[ data.uuid ] = geometry;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn geometries;\n\n\t}\n\n\tparseMaterials( json, textures ) {\n\n\t\tconst cache = {}; // MultiMaterial\n\t\tconst materials = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tconst loader = new MaterialLoader();\n\t\t\tloader.setTextures( textures );\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tif ( cache[ data.uuid ] === undefined ) {\n\n\t\t\t\t\tcache[ data.uuid ] = loader.parse( data );\n\n\t\t\t\t}\n\n\t\t\t\tmaterials[ data.uuid ] = cache[ data.uuid ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn materials;\n\n\t}\n\n\tparseAnimations( json ) {\n\n\t\tconst animations = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0; i < json.length; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tconst clip = AnimationClip.parse( data );\n\n\t\t\t\tanimations[ clip.uuid ] = clip;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn animations;\n\n\t}\n\n\tparseImages( json, onLoad ) {\n\n\t\tconst scope = this;\n\t\tconst images = {};\n\n\t\tlet loader;\n\n\t\tfunction loadImage( url ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\treturn loader.load( url, function () {\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, undefined, function () {\n\n\t\t\t\tscope.manager.itemError( url );\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t} );\n\n\t\t}\n\n\t\tfunction deserializeImage( image ) {\n\n\t\t\tif ( typeof image === 'string' ) {\n\n\t\t\t\tconst url = image;\n\n\t\t\t\tconst path = /^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test( url ) ? url : scope.resourcePath + url;\n\n\t\t\t\treturn loadImage( path );\n\n\t\t\t} else {\n\n\t\t\t\tif ( image.data ) {\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: getTypedArray( image.type, image.data ),\n\t\t\t\t\t\twidth: image.width,\n\t\t\t\t\t\theight: image.height\n\t\t\t\t\t};\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json !== undefined && json.length > 0 ) {\n\n\t\t\tconst manager = new LoadingManager( onLoad );\n\n\t\t\tloader = new ImageLoader( manager );\n\t\t\tloader.setCrossOrigin( this.crossOrigin );\n\n\t\t\tfor ( let i = 0, il = json.length; i < il; i ++ ) {\n\n\t\t\t\tconst image = json[ i ];\n\t\t\t\tconst url = image.url;\n\n\t\t\t\tif ( Array.isArray( url ) ) {\n\n\t\t\t\t\t// load array of images e.g CubeTexture\n\n\t\t\t\t\tconst imageArray = [];\n\n\t\t\t\t\tfor ( let j = 0, jl = url.length; j < jl; j ++ ) {\n\n\t\t\t\t\t\tconst currentUrl = url[ j ];\n\n\t\t\t\t\t\tconst deserializedImage = deserializeImage( currentUrl );\n\n\t\t\t\t\t\tif ( deserializedImage !== null ) {\n\n\t\t\t\t\t\t\tif ( deserializedImage instanceof HTMLImageElement ) {\n\n\t\t\t\t\t\t\t\timageArray.push( deserializedImage );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t// special case: handle array of data textures for cube textures\n\n\t\t\t\t\t\t\t\timageArray.push( new DataTexture( deserializedImage.data, deserializedImage.width, deserializedImage.height ) );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\timages[ image.uuid ] = new Source( imageArray );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// load single image\n\n\t\t\t\t\tconst deserializedImage = deserializeImage( image.url );\n\t\t\t\t\timages[ image.uuid ] = new Source( deserializedImage );\n\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn images;\n\n\t}\n\n\tasync parseImagesAsync( json ) {\n\n\t\tconst scope = this;\n\t\tconst images = {};\n\n\t\tlet loader;\n\n\t\tasync function deserializeImage( image ) {\n\n\t\t\tif ( typeof image === 'string' ) {\n\n\t\t\t\tconst url = image;\n\n\t\t\t\tconst path = /^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test( url ) ? url : scope.resourcePath + url;\n\n\t\t\t\treturn await loader.loadAsync( path );\n\n\t\t\t} else {\n\n\t\t\t\tif ( image.data ) {\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: getTypedArray( image.type, image.data ),\n\t\t\t\t\t\twidth: image.width,\n\t\t\t\t\t\theight: image.height\n\t\t\t\t\t};\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json !== undefined && json.length > 0 ) {\n\n\t\t\tloader = new ImageLoader( this.manager );\n\t\t\tloader.setCrossOrigin( this.crossOrigin );\n\n\t\t\tfor ( let i = 0, il = json.length; i < il; i ++ ) {\n\n\t\t\t\tconst image = json[ i ];\n\t\t\t\tconst url = image.url;\n\n\t\t\t\tif ( Array.isArray( url ) ) {\n\n\t\t\t\t\t// load array of images e.g CubeTexture\n\n\t\t\t\t\tconst imageArray = [];\n\n\t\t\t\t\tfor ( let j = 0, jl = url.length; j < jl; j ++ ) {\n\n\t\t\t\t\t\tconst currentUrl = url[ j ];\n\n\t\t\t\t\t\tconst deserializedImage = await deserializeImage( currentUrl );\n\n\t\t\t\t\t\tif ( deserializedImage !== null ) {\n\n\t\t\t\t\t\t\tif ( deserializedImage instanceof HTMLImageElement ) {\n\n\t\t\t\t\t\t\t\timageArray.push( deserializedImage );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t// special case: handle array of data textures for cube textures\n\n\t\t\t\t\t\t\t\timageArray.push( new DataTexture( deserializedImage.data, deserializedImage.width, deserializedImage.height ) );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\timages[ image.uuid ] = new Source( imageArray );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// load single image\n\n\t\t\t\t\tconst deserializedImage = await deserializeImage( image.url );\n\t\t\t\t\timages[ image.uuid ] = new Source( deserializedImage );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn images;\n\n\t}\n\n\tparseTextures( json, images ) {\n\n\t\tfunction parseConstant( value, type ) {\n\n\t\t\tif ( typeof value === 'number' ) return value;\n\n\t\t\tconsole.warn( 'THREE.ObjectLoader.parseTexture: Constant should be in numeric form.', value );\n\n\t\t\treturn type[ value ];\n\n\t\t}\n\n\t\tconst textures = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tif ( data.image === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: No \"image\" specified for', data.uuid );\n\n\t\t\t\t}\n\n\t\t\t\tif ( images[ data.image ] === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined image', data.image );\n\n\t\t\t\t}\n\n\t\t\t\tconst source = images[ data.image ];\n\t\t\t\tconst image = source.data;\n\n\t\t\t\tlet texture;\n\n\t\t\t\tif ( Array.isArray( image ) ) {\n\n\t\t\t\t\ttexture = new CubeTexture();\n\n\t\t\t\t\tif ( image.length === 6 ) texture.needsUpdate = true;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( image && image.data ) {\n\n\t\t\t\t\t\ttexture = new DataTexture();\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttexture = new Texture();\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( image ) texture.needsUpdate = true; // textures can have undefined image data\n\n\t\t\t\t}\n\n\t\t\t\ttexture.source = source;\n\n\t\t\t\ttexture.uuid = data.uuid;\n\n\t\t\t\tif ( data.name !== undefined ) texture.name = data.name;\n\n\t\t\t\tif ( data.mapping !== undefined ) texture.mapping = parseConstant( data.mapping, TEXTURE_MAPPING );\n\t\t\t\tif ( data.channel !== undefined ) texture.channel = data.channel;\n\n\t\t\t\tif ( data.offset !== undefined ) texture.offset.fromArray( data.offset );\n\t\t\t\tif ( data.repeat !== undefined ) texture.repeat.fromArray( data.repeat );\n\t\t\t\tif ( data.center !== undefined ) texture.center.fromArray( data.center );\n\t\t\t\tif ( data.rotation !== undefined ) texture.rotation = data.rotation;\n\n\t\t\t\tif ( data.wrap !== undefined ) {\n\n\t\t\t\t\ttexture.wrapS = parseConstant( data.wrap[ 0 ], TEXTURE_WRAPPING );\n\t\t\t\t\ttexture.wrapT = parseConstant( data.wrap[ 1 ], TEXTURE_WRAPPING );\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.format !== undefined ) texture.format = data.format;\n\t\t\t\tif ( data.internalFormat !== undefined ) texture.internalFormat = data.internalFormat;\n\t\t\t\tif ( data.type !== undefined ) texture.type = data.type;\n\t\t\t\tif ( data.colorSpace !== undefined ) texture.colorSpace = data.colorSpace;\n\t\t\t\tif ( data.encoding !== undefined ) texture.encoding = data.encoding; // @deprecated, r152\n\n\t\t\t\tif ( data.minFilter !== undefined ) texture.minFilter = parseConstant( data.minFilter, TEXTURE_FILTER );\n\t\t\t\tif ( data.magFilter !== undefined ) texture.magFilter = parseConstant( data.magFilter, TEXTURE_FILTER );\n\t\t\t\tif ( data.anisotropy !== undefined ) texture.anisotropy = data.anisotropy;\n\n\t\t\t\tif ( data.flipY !== undefined ) texture.flipY = data.flipY;\n\n\t\t\t\tif ( data.generateMipmaps !== undefined ) texture.generateMipmaps = data.generateMipmaps;\n\t\t\t\tif ( data.premultiplyAlpha !== undefined ) texture.premultiplyAlpha = data.premultiplyAlpha;\n\t\t\t\tif ( data.unpackAlignment !== undefined ) texture.unpackAlignment = data.unpackAlignment;\n\t\t\t\tif ( data.compareFunction !== undefined ) texture.compareFunction = data.compareFunction;\n\n\t\t\t\tif ( data.userData !== undefined ) texture.userData = data.userData;\n\n\t\t\t\ttextures[ data.uuid ] = texture;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn textures;\n\n\t}\n\n\tparseObject( data, geometries, materials, textures, animations ) {\n\n\t\tlet object;\n\n\t\tfunction getGeometry( name ) {\n\n\t\t\tif ( geometries[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined geometry', name );\n\n\t\t\t}\n\n\t\t\treturn geometries[ name ];\n\n\t\t}\n\n\t\tfunction getMaterial( name ) {\n\n\t\t\tif ( name === undefined ) return undefined;\n\n\t\t\tif ( Array.isArray( name ) ) {\n\n\t\t\t\tconst array = [];\n\n\t\t\t\tfor ( let i = 0, l = name.length; i < l; i ++ ) {\n\n\t\t\t\t\tconst uuid = name[ i ];\n\n\t\t\t\t\tif ( materials[ uuid ] === undefined ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined material', uuid );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tarray.push( materials[ uuid ] );\n\n\t\t\t\t}\n\n\t\t\t\treturn array;\n\n\t\t\t}\n\n\t\t\tif ( materials[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined material', name );\n\n\t\t\t}\n\n\t\t\treturn materials[ name ];\n\n\t\t}\n\n\t\tfunction getTexture( uuid ) {\n\n\t\t\tif ( textures[ uuid ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined texture', uuid );\n\n\t\t\t}\n\n\t\t\treturn textures[ uuid ];\n\n\t\t}\n\n\t\tlet geometry, material;\n\n\t\tswitch ( data.type ) {\n\n\t\t\tcase 'Scene':\n\n\t\t\t\tobject = new Scene();\n\n\t\t\t\tif ( data.background !== undefined ) {\n\n\t\t\t\t\tif ( Number.isInteger( data.background ) ) {\n\n\t\t\t\t\t\tobject.background = new Color( data.background );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tobject.background = getTexture( data.background );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.environment !== undefined ) {\n\n\t\t\t\t\tobject.environment = getTexture( data.environment );\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.fog !== undefined ) {\n\n\t\t\t\t\tif ( data.fog.type === 'Fog' ) {\n\n\t\t\t\t\t\tobject.fog = new Fog( data.fog.color, data.fog.near, data.fog.far );\n\n\t\t\t\t\t} else if ( data.fog.type === 'FogExp2' ) {\n\n\t\t\t\t\t\tobject.fog = new FogExp2( data.fog.color, data.fog.density );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( data.fog.name !== '' ) {\n\n\t\t\t\t\t\tobject.fog.name = data.fog.name;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.backgroundBlurriness !== undefined ) object.backgroundBlurriness = data.backgroundBlurriness;\n\t\t\t\tif ( data.backgroundIntensity !== undefined ) object.backgroundIntensity = data.backgroundIntensity;\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PerspectiveCamera':\n\n\t\t\t\tobject = new PerspectiveCamera( data.fov, data.aspect, data.near, data.far );\n\n\t\t\t\tif ( data.focus !== undefined ) object.focus = data.focus;\n\t\t\t\tif ( data.zoom !== undefined ) object.zoom = data.zoom;\n\t\t\t\tif ( data.filmGauge !== undefined ) object.filmGauge = data.filmGauge;\n\t\t\t\tif ( data.filmOffset !== undefined ) object.filmOffset = data.filmOffset;\n\t\t\t\tif ( data.view !== undefined ) object.view = Object.assign( {}, data.view );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'OrthographicCamera':\n\n\t\t\t\tobject = new OrthographicCamera( data.left, data.right, data.top, data.bottom, data.near, data.far );\n\n\t\t\t\tif ( data.zoom !== undefined ) object.zoom = data.zoom;\n\t\t\t\tif ( data.view !== undefined ) object.view = Object.assign( {}, data.view );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'AmbientLight':\n\n\t\t\t\tobject = new AmbientLight( data.color, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'DirectionalLight':\n\n\t\t\t\tobject = new DirectionalLight( data.color, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PointLight':\n\n\t\t\t\tobject = new PointLight( data.color, data.intensity, data.distance, data.decay );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'RectAreaLight':\n\n\t\t\t\tobject = new RectAreaLight( data.color, data.intensity, data.width, data.height );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'SpotLight':\n\n\t\t\t\tobject = new SpotLight( data.color, data.intensity, data.distance, data.angle, data.penumbra, data.decay );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'HemisphereLight':\n\n\t\t\t\tobject = new HemisphereLight( data.color, data.groundColor, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LightProbe':\n\n\t\t\t\tobject = new LightProbe().fromJSON( data );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'SkinnedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t \tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new SkinnedMesh( geometry, material );\n\n\t\t\t\tif ( data.bindMode !== undefined ) object.bindMode = data.bindMode;\n\t\t\t\tif ( data.bindMatrix !== undefined ) object.bindMatrix.fromArray( data.bindMatrix );\n\t\t\t\tif ( data.skeleton !== undefined ) object.skeleton = data.skeleton;\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Mesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new Mesh( geometry, material );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'InstancedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\t\t\t\tconst count = data.count;\n\t\t\t\tconst instanceMatrix = data.instanceMatrix;\n\t\t\t\tconst instanceColor = data.instanceColor;\n\n\t\t\t\tobject = new InstancedMesh( geometry, material, count );\n\t\t\t\tobject.instanceMatrix = new InstancedBufferAttribute( new Float32Array( instanceMatrix.array ), 16 );\n\t\t\t\tif ( instanceColor !== undefined ) object.instanceColor = new InstancedBufferAttribute( new Float32Array( instanceColor.array ), instanceColor.itemSize );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'BatchedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new BatchedMesh( data.maxGeometryCount, data.maxVertexCount, data.maxIndexCount, material );\n\t\t\t\tobject.geometry = geometry;\n\t\t\t\tobject.perObjectFrustumCulled = data.perObjectFrustumCulled;\n\t\t\t\tobject.sortObjects = data.sortObjects;\n\n\t\t\t\tobject._drawRanges = data.drawRanges;\n\t\t\t\tobject._reservedRanges = data.reservedRanges;\n\n\t\t\t\tobject._visibility = data.visibility;\n\t\t\t\tobject._active = data.active;\n\t\t\t\tobject._bounds = data.bounds.map( bound => {\n\n\t\t\t\t\tconst box = new Box3();\n\t\t\t\t\tbox.min.fromArray( bound.boxMin );\n\t\t\t\t\tbox.max.fromArray( bound.boxMax );\n\n\t\t\t\t\tconst sphere = new Sphere();\n\t\t\t\t\tsphere.radius = bound.sphereRadius;\n\t\t\t\t\tsphere.center.fromArray( bound.sphereCenter );\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\t\t\t\tbox: box,\n\n\t\t\t\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\t\t\t\tsphere: sphere\n\t\t\t\t\t};\n\n\t\t\t\t} );\n\n\t\t\t\tobject._maxGeometryCount = data.maxGeometryCount;\n\t\t\t\tobject._maxVertexCount = data.maxVertexCount;\n\t\t\t\tobject._maxIndexCount = data.maxIndexCount;\n\n\t\t\t\tobject._geometryInitialized = data.geometryInitialized;\n\t\t\t\tobject._geometryCount = data.geometryCount;\n\n\t\t\t\tobject._matricesTexture = getTexture( data.matricesTexture.uuid );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LOD':\n\n\t\t\t\tobject = new LOD();\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Line':\n\n\t\t\t\tobject = new Line( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LineLoop':\n\n\t\t\t\tobject = new LineLoop( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LineSegments':\n\n\t\t\t\tobject = new LineSegments( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PointCloud':\n\t\t\tcase 'Points':\n\n\t\t\t\tobject = new Points( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Sprite':\n\n\t\t\t\tobject = new Sprite( getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Group':\n\n\t\t\t\tobject = new Group();\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Bone':\n\n\t\t\t\tobject = new Bone();\n\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\n\t\t\t\tobject = new Object3D();\n\n\t\t}\n\n\t\tobject.uuid = data.uuid;\n\n\t\tif ( data.name !== undefined ) object.name = data.name;\n\n\t\tif ( data.matrix !== undefined ) {\n\n\t\t\tobject.matrix.fromArray( data.matrix );\n\n\t\t\tif ( data.matrixAutoUpdate !== undefined ) object.matrixAutoUpdate = data.matrixAutoUpdate;\n\t\t\tif ( object.matrixAutoUpdate ) object.matrix.decompose( object.position, object.quaternion, object.scale );\n\n\t\t} else {\n\n\t\t\tif ( data.position !== undefined ) object.position.fromArray( data.position );\n\t\t\tif ( data.rotation !== undefined ) object.rotation.fromArray( data.rotation );\n\t\t\tif ( data.quaternion !== undefined ) object.quaternion.fromArray( data.quaternion );\n\t\t\tif ( data.scale !== undefined ) object.scale.fromArray( data.scale );\n\n\t\t}\n\n\t\tif ( data.up !== undefined ) object.up.fromArray( data.up );\n\n\t\tif ( data.castShadow !== undefined ) object.castShadow = data.castShadow;\n\t\tif ( data.receiveShadow !== undefined ) object.receiveShadow = data.receiveShadow;\n\n\t\tif ( data.shadow ) {\n\n\t\t\tif ( data.shadow.bias !== undefined ) object.shadow.bias = data.shadow.bias;\n\t\t\tif ( data.shadow.normalBias !== undefined ) object.shadow.normalBias = data.shadow.normalBias;\n\t\t\tif ( data.shadow.radius !== undefined ) object.shadow.radius = data.shadow.radius;\n\t\t\tif ( data.shadow.mapSize !== undefined ) object.shadow.mapSize.fromArray( data.shadow.mapSize );\n\t\t\tif ( data.shadow.camera !== undefined ) object.shadow.camera = this.parseObject( data.shadow.camera );\n\n\t\t}\n\n\t\tif ( data.visible !== undefined ) object.visible = data.visible;\n\t\tif ( data.frustumCulled !== undefined ) object.frustumCulled = data.frustumCulled;\n\t\tif ( data.renderOrder !== undefined ) object.renderOrder = data.renderOrder;\n\t\tif ( data.userData !== undefined ) object.userData = data.userData;\n\t\tif ( data.layers !== undefined ) object.layers.mask = data.layers;\n\n\t\tif ( data.children !== undefined ) {\n\n\t\t\tconst children = data.children;\n\n\t\t\tfor ( let i = 0; i < children.length; i ++ ) {\n\n\t\t\t\tobject.add( this.parseObject( children[ i ], geometries, materials, textures, animations ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( data.animations !== undefined ) {\n\n\t\t\tconst objectAnimations = data.animations;\n\n\t\t\tfor ( let i = 0; i < objectAnimations.length; i ++ ) {\n\n\t\t\t\tconst uuid = objectAnimations[ i ];\n\n\t\t\t\tobject.animations.push( animations[ uuid ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( data.type === 'LOD' ) {\n\n\t\t\tif ( data.autoUpdate !== undefined ) object.autoUpdate = data.autoUpdate;\n\n\t\t\tconst levels = data.levels;\n\n\t\t\tfor ( let l = 0; l < levels.length; l ++ ) {\n\n\t\t\t\tconst level = levels[ l ];\n\t\t\t\tconst child = object.getObjectByProperty( 'uuid', level.object );\n\n\t\t\t\tif ( child !== undefined ) {\n\n\t\t\t\t\tobject.addLevel( child, level.distance, level.hysteresis );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn object;\n\n\t}\n\n\tbindSkeletons( object, skeletons ) {\n\n\t\tif ( Object.keys( skeletons ).length === 0 ) return;\n\n\t\tobject.traverse( function ( child ) {\n\n\t\t\tif ( child.isSkinnedMesh === true && child.skeleton !== undefined ) {\n\n\t\t\t\tconst skeleton = skeletons[ child.skeleton ];\n\n\t\t\t\tif ( skeleton === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: No skeleton found with UUID:', child.skeleton );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tchild.bind( skeleton, child.bindMatrix );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} );\n\n\t}\n\n}\n\nconst TEXTURE_MAPPING = {\n\tUVMapping: UVMapping,\n\tCubeReflectionMapping: CubeReflectionMapping,\n\tCubeRefractionMapping: CubeRefractionMapping,\n\tEquirectangularReflectionMapping: EquirectangularReflectionMapping,\n\tEquirectangularRefractionMapping: EquirectangularRefractionMapping,\n\tCubeUVReflectionMapping: CubeUVReflectionMapping\n};\n\nconst TEXTURE_WRAPPING = {\n\tRepeatWrapping: RepeatWrapping,\n\tClampToEdgeWrapping: ClampToEdgeWrapping,\n\tMirroredRepeatWrapping: MirroredRepeatWrapping\n};\n\nconst TEXTURE_FILTER = {\n\tNearestFilter: NearestFilter,\n\tNearestMipmapNearestFilter: NearestMipmapNearestFilter,\n\tNearestMipmapLinearFilter: NearestMipmapLinearFilter,\n\tLinearFilter: LinearFilter,\n\tLinearMipmapNearestFilter: LinearMipmapNearestFilter,\n\tLinearMipmapLinearFilter: LinearMipmapLinearFilter\n};\n\nclass ImageBitmapLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t\tthis.isImageBitmapLoader = true;\n\n\t\tif ( typeof createImageBitmap === 'undefined' ) {\n\n\t\t\tconsole.warn( 'THREE.ImageBitmapLoader: createImageBitmap() not supported.' );\n\n\t\t}\n\n\t\tif ( typeof fetch === 'undefined' ) {\n\n\t\t\tconsole.warn( 'THREE.ImageBitmapLoader: fetch() not supported.' );\n\n\t\t}\n\n\t\tthis.options = { premultiplyAlpha: 'none' };\n\n\t}\n\n\tsetOptions( options ) {\n\n\t\tthis.options = options;\n\n\t\treturn this;\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( url === undefined ) url = '';\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst scope = this;\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\t// If cached is a promise, wait for it to resolve\n\t\t\tif ( cached.then ) {\n\n\t\t\t\tcached.then( imageBitmap => {\n\n\t\t\t\t\tif ( onLoad ) onLoad( imageBitmap );\n\n\t\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t\t} ).catch( e => {\n\n\t\t\t\t\tif ( onError ) onError( e );\n\n\t\t\t\t} );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t// If cached is not a promise (i.e., it's already an imageBitmap)\n\t\t\tsetTimeout( function () {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\tconst fetchOptions = {};\n\t\tfetchOptions.credentials = ( this.crossOrigin === 'anonymous' ) ? 'same-origin' : 'include';\n\t\tfetchOptions.headers = this.requestHeader;\n\n\t\tconst promise = fetch( url, fetchOptions ).then( function ( res ) {\n\n\t\t\treturn res.blob();\n\n\t\t} ).then( function ( blob ) {\n\n\t\t\treturn createImageBitmap( blob, Object.assign( scope.options, { colorSpaceConversion: 'none' } ) );\n\n\t\t} ).then( function ( imageBitmap ) {\n\n\t\t\tCache.add( url, imageBitmap );\n\n\t\t\tif ( onLoad ) onLoad( imageBitmap );\n\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t\treturn imageBitmap;\n\n\t\t} ).catch( function ( e ) {\n\n\t\t\tif ( onError ) onError( e );\n\n\t\t\tCache.remove( url );\n\n\t\t\tscope.manager.itemError( url );\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t} );\n\n\t\tCache.add( url, promise );\n\t\tscope.manager.itemStart( url );\n\n\t}\n\n}\n\nlet _context;\n\nclass AudioContext {\n\n\tstatic getContext() {\n\n\t\tif ( _context === undefined ) {\n\n\t\t\t_context = new ( window.AudioContext || window.webkitAudioContext )();\n\n\t\t}\n\n\t\treturn _context;\n\n\t}\n\n\tstatic setContext( value ) {\n\n\t\t_context = value;\n\n\t}\n\n}\n\nclass AudioLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( buffer ) {\n\n\t\t\ttry {\n\n\t\t\t\t// Create a copy of the buffer. The `decodeAudioData` method\n\t\t\t\t// detaches the buffer when complete, preventing reuse.\n\t\t\t\tconst bufferCopy = buffer.slice( 0 );\n\n\t\t\t\tconst context = AudioContext.getContext();\n\t\t\t\tcontext.decodeAudioData( bufferCopy, function ( audioBuffer ) {\n\n\t\t\t\t\tonLoad( audioBuffer );\n\n\t\t\t\t} ).catch( handleError );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\thandleError( e );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t\tfunction handleError( e ) {\n\n\t\t\tif ( onError ) {\n\n\t\t\t\tonError( e );\n\n\t\t\t} else {\n\n\t\t\t\tconsole.error( e );\n\n\t\t\t}\n\n\t\t\tscope.manager.itemError( url );\n\n\t\t}\n\n\t}\n\n}\n\nconst _eyeRight = /*@__PURE__*/ new Matrix4();\nconst _eyeLeft = /*@__PURE__*/ new Matrix4();\nconst _projectionMatrix = /*@__PURE__*/ new Matrix4();\n\nclass StereoCamera {\n\n\tconstructor() {\n\n\t\tthis.type = 'StereoCamera';\n\n\t\tthis.aspect = 1;\n\n\t\tthis.eyeSep = 0.064;\n\n\t\tthis.cameraL = new PerspectiveCamera();\n\t\tthis.cameraL.layers.enable( 1 );\n\t\tthis.cameraL.matrixAutoUpdate = false;\n\n\t\tthis.cameraR = new PerspectiveCamera();\n\t\tthis.cameraR.layers.enable( 2 );\n\t\tthis.cameraR.matrixAutoUpdate = false;\n\n\t\tthis._cache = {\n\t\t\tfocus: null,\n\t\t\tfov: null,\n\t\t\taspect: null,\n\t\t\tnear: null,\n\t\t\tfar: null,\n\t\t\tzoom: null,\n\t\t\teyeSep: null\n\t\t};\n\n\t}\n\n\tupdate( camera ) {\n\n\t\tconst cache = this._cache;\n\n\t\tconst needsUpdate = cache.focus !== camera.focus || cache.fov !== camera.fov ||\n\t\t\tcache.aspect !== camera.aspect * this.aspect || cache.near !== camera.near ||\n\t\t\tcache.far !== camera.far || cache.zoom !== camera.zoom || cache.eyeSep !== this.eyeSep;\n\n\t\tif ( needsUpdate ) {\n\n\t\t\tcache.focus = camera.focus;\n\t\t\tcache.fov = camera.fov;\n\t\t\tcache.aspect = camera.aspect * this.aspect;\n\t\t\tcache.near = camera.near;\n\t\t\tcache.far = camera.far;\n\t\t\tcache.zoom = camera.zoom;\n\t\t\tcache.eyeSep = this.eyeSep;\n\n\t\t\t// Off-axis stereoscopic effect based on\n\t\t\t// http://paulbourke.net/stereographics/stereorender/\n\n\t\t\t_projectionMatrix.copy( camera.projectionMatrix );\n\t\t\tconst eyeSepHalf = cache.eyeSep / 2;\n\t\t\tconst eyeSepOnProjection = eyeSepHalf * cache.near / cache.focus;\n\t\t\tconst ymax = ( cache.near * Math.tan( DEG2RAD * cache.fov * 0.5 ) ) / cache.zoom;\n\t\t\tlet xmin, xmax;\n\n\t\t\t// translate xOffset\n\n\t\t\t_eyeLeft.elements[ 12 ] = - eyeSepHalf;\n\t\t\t_eyeRight.elements[ 12 ] = eyeSepHalf;\n\n\t\t\t// for left eye\n\n\t\t\txmin = - ymax * cache.aspect + eyeSepOnProjection;\n\t\t\txmax = ymax * cache.aspect + eyeSepOnProjection;\n\n\t\t\t_projectionMatrix.elements[ 0 ] = 2 * cache.near / ( xmax - xmin );\n\t\t\t_projectionMatrix.elements[ 8 ] = ( xmax + xmin ) / ( xmax - xmin );\n\n\t\t\tthis.cameraL.projectionMatrix.copy( _projectionMatrix );\n\n\t\t\t// for right eye\n\n\t\t\txmin = - ymax * cache.aspect - eyeSepOnProjection;\n\t\t\txmax = ymax * cache.aspect - eyeSepOnProjection;\n\n\t\t\t_projectionMatrix.elements[ 0 ] = 2 * cache.near / ( xmax - xmin );\n\t\t\t_projectionMatrix.elements[ 8 ] = ( xmax + xmin ) / ( xmax - xmin );\n\n\t\t\tthis.cameraR.projectionMatrix.copy( _projectionMatrix );\n\n\t\t}\n\n\t\tthis.cameraL.matrixWorld.copy( camera.matrixWorld ).multiply( _eyeLeft );\n\t\tthis.cameraR.matrixWorld.copy( camera.matrixWorld ).multiply( _eyeRight );\n\n\t}\n\n}\n\nclass Clock {\n\n\tconstructor( autoStart = true ) {\n\n\t\tthis.autoStart = autoStart;\n\n\t\tthis.startTime = 0;\n\t\tthis.oldTime = 0;\n\t\tthis.elapsedTime = 0;\n\n\t\tthis.running = false;\n\n\t}\n\n\tstart() {\n\n\t\tthis.startTime = now();\n\n\t\tthis.oldTime = this.startTime;\n\t\tthis.elapsedTime = 0;\n\t\tthis.running = true;\n\n\t}\n\n\tstop() {\n\n\t\tthis.getElapsedTime();\n\t\tthis.running = false;\n\t\tthis.autoStart = false;\n\n\t}\n\n\tgetElapsedTime() {\n\n\t\tthis.getDelta();\n\t\treturn this.elapsedTime;\n\n\t}\n\n\tgetDelta() {\n\n\t\tlet diff = 0;\n\n\t\tif ( this.autoStart && ! this.running ) {\n\n\t\t\tthis.start();\n\t\t\treturn 0;\n\n\t\t}\n\n\t\tif ( this.running ) {\n\n\t\t\tconst newTime = now();\n\n\t\t\tdiff = ( newTime - this.oldTime ) / 1000;\n\t\t\tthis.oldTime = newTime;\n\n\t\t\tthis.elapsedTime += diff;\n\n\t\t}\n\n\t\treturn diff;\n\n\t}\n\n}\n\nfunction now() {\n\n\treturn ( typeof performance === 'undefined' ? Date : performance ).now(); // see #10732\n\n}\n\nconst _position$1 = /*@__PURE__*/ new Vector3();\nconst _quaternion$1 = /*@__PURE__*/ new Quaternion();\nconst _scale$1 = /*@__PURE__*/ new Vector3();\nconst _orientation$1 = /*@__PURE__*/ new Vector3();\n\nclass AudioListener extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.type = 'AudioListener';\n\n\t\tthis.context = AudioContext.getContext();\n\n\t\tthis.gain = this.context.createGain();\n\t\tthis.gain.connect( this.context.destination );\n\n\t\tthis.filter = null;\n\n\t\tthis.timeDelta = 0;\n\n\t\t// private\n\n\t\tthis._clock = new Clock();\n\n\t}\n\n\tgetInput() {\n\n\t\treturn this.gain;\n\n\t}\n\n\tremoveFilter() {\n\n\t\tif ( this.filter !== null ) {\n\n\t\t\tthis.gain.disconnect( this.filter );\n\t\t\tthis.filter.disconnect( this.context.destination );\n\t\t\tthis.gain.connect( this.context.destination );\n\t\t\tthis.filter = null;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetFilter() {\n\n\t\treturn this.filter;\n\n\t}\n\n\tsetFilter( value ) {\n\n\t\tif ( this.filter !== null ) {\n\n\t\t\tthis.gain.disconnect( this.filter );\n\t\t\tthis.filter.disconnect( this.context.destination );\n\n\t\t} else {\n\n\t\t\tthis.gain.disconnect( this.context.destination );\n\n\t\t}\n\n\t\tthis.filter = value;\n\t\tthis.gain.connect( this.filter );\n\t\tthis.filter.connect( this.context.destination );\n\n\t\treturn this;\n\n\t}\n\n\tgetMasterVolume() {\n\n\t\treturn this.gain.gain.value;\n\n\t}\n\n\tsetMasterVolume( value ) {\n\n\t\tthis.gain.gain.setTargetAtTime( value, this.context.currentTime, 0.01 );\n\n\t\treturn this;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tconst listener = this.context.listener;\n\t\tconst up = this.up;\n\n\t\tthis.timeDelta = this._clock.getDelta();\n\n\t\tthis.matrixWorld.decompose( _position$1, _quaternion$1, _scale$1 );\n\n\t\t_orientation$1.set( 0, 0, - 1 ).applyQuaternion( _quaternion$1 );\n\n\t\tif ( listener.positionX ) {\n\n\t\t\t// code path for Chrome (see #14393)\n\n\t\t\tconst endTime = this.context.currentTime + this.timeDelta;\n\n\t\t\tlistener.positionX.linearRampToValueAtTime( _position$1.x, endTime );\n\t\t\tlistener.positionY.linearRampToValueAtTime( _position$1.y, endTime );\n\t\t\tlistener.positionZ.linearRampToValueAtTime( _position$1.z, endTime );\n\t\t\tlistener.forwardX.linearRampToValueAtTime( _orientation$1.x, endTime );\n\t\t\tlistener.forwardY.linearRampToValueAtTime( _orientation$1.y, endTime );\n\t\t\tlistener.forwardZ.linearRampToValueAtTime( _orientation$1.z, endTime );\n\t\t\tlistener.upX.linearRampToValueAtTime( up.x, endTime );\n\t\t\tlistener.upY.linearRampToValueAtTime( up.y, endTime );\n\t\t\tlistener.upZ.linearRampToValueAtTime( up.z, endTime );\n\n\t\t} else {\n\n\t\t\tlistener.setPosition( _position$1.x, _position$1.y, _position$1.z );\n\t\t\tlistener.setOrientation( _orientation$1.x, _orientation$1.y, _orientation$1.z, up.x, up.y, up.z );\n\n\t\t}\n\n\t}\n\n}\n\nclass Audio extends Object3D {\n\n\tconstructor( listener ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'Audio';\n\n\t\tthis.listener = listener;\n\t\tthis.context = listener.context;\n\n\t\tthis.gain = this.context.createGain();\n\t\tthis.gain.connect( listener.getInput() );\n\n\t\tthis.autoplay = false;\n\n\t\tthis.buffer = null;\n\t\tthis.detune = 0;\n\t\tthis.loop = false;\n\t\tthis.loopStart = 0;\n\t\tthis.loopEnd = 0;\n\t\tthis.offset = 0;\n\t\tthis.duration = undefined;\n\t\tthis.playbackRate = 1;\n\t\tthis.isPlaying = false;\n\t\tthis.hasPlaybackControl = true;\n\t\tthis.source = null;\n\t\tthis.sourceType = 'empty';\n\n\t\tthis._startedAt = 0;\n\t\tthis._progress = 0;\n\t\tthis._connected = false;\n\n\t\tthis.filters = [];\n\n\t}\n\n\tgetOutput() {\n\n\t\treturn this.gain;\n\n\t}\n\n\tsetNodeSource( audioNode ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'audioNode';\n\t\tthis.source = audioNode;\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetMediaElementSource( mediaElement ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'mediaNode';\n\t\tthis.source = this.context.createMediaElementSource( mediaElement );\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetMediaStreamSource( mediaStream ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'mediaStreamNode';\n\t\tthis.source = this.context.createMediaStreamSource( mediaStream );\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetBuffer( audioBuffer ) {\n\n\t\tthis.buffer = audioBuffer;\n\t\tthis.sourceType = 'buffer';\n\n\t\tif ( this.autoplay ) this.play();\n\n\t\treturn this;\n\n\t}\n\n\tplay( delay = 0 ) {\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: Audio is already playing.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis._startedAt = this.context.currentTime + delay;\n\n\t\tconst source = this.context.createBufferSource();\n\t\tsource.buffer = this.buffer;\n\t\tsource.loop = this.loop;\n\t\tsource.loopStart = this.loopStart;\n\t\tsource.loopEnd = this.loopEnd;\n\t\tsource.onended = this.onEnded.bind( this );\n\t\tsource.start( this._startedAt, this._progress + this.offset, this.duration );\n\n\t\tthis.isPlaying = true;\n\n\t\tthis.source = source;\n\n\t\tthis.setDetune( this.detune );\n\t\tthis.setPlaybackRate( this.playbackRate );\n\n\t\treturn this.connect();\n\n\t}\n\n\tpause() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\t// update current progress\n\n\t\t\tthis._progress += Math.max( this.context.currentTime - this._startedAt, 0 ) * this.playbackRate;\n\n\t\t\tif ( this.loop === true ) {\n\n\t\t\t\t// ensure _progress does not exceed duration with looped audios\n\n\t\t\t\tthis._progress = this._progress % ( this.duration || this.buffer.duration );\n\n\t\t\t}\n\n\t\t\tthis.source.stop();\n\t\t\tthis.source.onended = null;\n\n\t\t\tthis.isPlaying = false;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tstop() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis._progress = 0;\n\n\t\tif ( this.source !== null ) {\n\n\t\t\tthis.source.stop();\n\t\t\tthis.source.onended = null;\n\n\t\t}\n\n\t\tthis.isPlaying = false;\n\n\t\treturn this;\n\n\t}\n\n\tconnect() {\n\n\t\tif ( this.filters.length > 0 ) {\n\n\t\t\tthis.source.connect( this.filters[ 0 ] );\n\n\t\t\tfor ( let i = 1, l = this.filters.length; i < l; i ++ ) {\n\n\t\t\t\tthis.filters[ i - 1 ].connect( this.filters[ i ] );\n\n\t\t\t}\n\n\t\t\tthis.filters[ this.filters.length - 1 ].connect( this.getOutput() );\n\n\t\t} else {\n\n\t\t\tthis.source.connect( this.getOutput() );\n\n\t\t}\n\n\t\tthis._connected = true;\n\n\t\treturn this;\n\n\t}\n\n\tdisconnect() {\n\n\t\tif ( this._connected === false ) {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.filters.length > 0 ) {\n\n\t\t\tthis.source.disconnect( this.filters[ 0 ] );\n\n\t\t\tfor ( let i = 1, l = this.filters.length; i < l; i ++ ) {\n\n\t\t\t\tthis.filters[ i - 1 ].disconnect( this.filters[ i ] );\n\n\t\t\t}\n\n\t\t\tthis.filters[ this.filters.length - 1 ].disconnect( this.getOutput() );\n\n\t\t} else {\n\n\t\t\tthis.source.disconnect( this.getOutput() );\n\n\t\t}\n\n\t\tthis._connected = false;\n\n\t\treturn this;\n\n\t}\n\n\tgetFilters() {\n\n\t\treturn this.filters;\n\n\t}\n\n\tsetFilters( value ) {\n\n\t\tif ( ! value ) value = [];\n\n\t\tif ( this._connected === true ) {\n\n\t\t\tthis.disconnect();\n\t\t\tthis.filters = value.slice();\n\t\t\tthis.connect();\n\n\t\t} else {\n\n\t\t\tthis.filters = value.slice();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetDetune( value ) {\n\n\t\tthis.detune = value;\n\n\t\tif ( this.source.detune === undefined ) return; // only set detune when available\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.detune.setTargetAtTime( this.detune, this.context.currentTime, 0.01 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetDetune() {\n\n\t\treturn this.detune;\n\n\t}\n\n\tgetFilter() {\n\n\t\treturn this.getFilters()[ 0 ];\n\n\t}\n\n\tsetFilter( filter ) {\n\n\t\treturn this.setFilters( filter ? [ filter ] : [] );\n\n\t}\n\n\tsetPlaybackRate( value ) {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis.playbackRate = value;\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.playbackRate.setTargetAtTime( this.playbackRate, this.context.currentTime, 0.01 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetPlaybackRate() {\n\n\t\treturn this.playbackRate;\n\n\t}\n\n\tonEnded() {\n\n\t\tthis.isPlaying = false;\n\n\t}\n\n\tgetLoop() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn this.loop;\n\n\t}\n\n\tsetLoop( value ) {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis.loop = value;\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.loop = this.loop;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetLoopStart( value ) {\n\n\t\tthis.loopStart = value;\n\n\t\treturn this;\n\n\t}\n\n\tsetLoopEnd( value ) {\n\n\t\tthis.loopEnd = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetVolume() {\n\n\t\treturn this.gain.gain.value;\n\n\t}\n\n\tsetVolume( value ) {\n\n\t\tthis.gain.gain.setTargetAtTime( value, this.context.currentTime, 0.01 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _position = /*@__PURE__*/ new Vector3();\nconst _quaternion = /*@__PURE__*/ new Quaternion();\nconst _scale = /*@__PURE__*/ new Vector3();\nconst _orientation = /*@__PURE__*/ new Vector3();\n\nclass PositionalAudio extends Audio {\n\n\tconstructor( listener ) {\n\n\t\tsuper( listener );\n\n\t\tthis.panner = this.context.createPanner();\n\t\tthis.panner.panningModel = 'HRTF';\n\t\tthis.panner.connect( this.gain );\n\n\t}\n\n\tconnect() {\n\n\t\tsuper.connect();\n\n\t\tthis.panner.connect( this.gain );\n\n\t}\n\n\tdisconnect() {\n\n\t\tsuper.disconnect();\n\n\t\tthis.panner.disconnect( this.gain );\n\n\t}\n\n\tgetOutput() {\n\n\t\treturn this.panner;\n\n\t}\n\n\tgetRefDistance() {\n\n\t\treturn this.panner.refDistance;\n\n\t}\n\n\tsetRefDistance( value ) {\n\n\t\tthis.panner.refDistance = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetRolloffFactor() {\n\n\t\treturn this.panner.rolloffFactor;\n\n\t}\n\n\tsetRolloffFactor( value ) {\n\n\t\tthis.panner.rolloffFactor = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetDistanceModel() {\n\n\t\treturn this.panner.distanceModel;\n\n\t}\n\n\tsetDistanceModel( value ) {\n\n\t\tthis.panner.distanceModel = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetMaxDistance() {\n\n\t\treturn this.panner.maxDistance;\n\n\t}\n\n\tsetMaxDistance( value ) {\n\n\t\tthis.panner.maxDistance = value;\n\n\t\treturn this;\n\n\t}\n\n\tsetDirectionalCone( coneInnerAngle, coneOuterAngle, coneOuterGain ) {\n\n\t\tthis.panner.coneInnerAngle = coneInnerAngle;\n\t\tthis.panner.coneOuterAngle = coneOuterAngle;\n\t\tthis.panner.coneOuterGain = coneOuterGain;\n\n\t\treturn this;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tif ( this.hasPlaybackControl === true && this.isPlaying === false ) return;\n\n\t\tthis.matrixWorld.decompose( _position, _quaternion, _scale );\n\n\t\t_orientation.set( 0, 0, 1 ).applyQuaternion( _quaternion );\n\n\t\tconst panner = this.panner;\n\n\t\tif ( panner.positionX ) {\n\n\t\t\t// code path for Chrome and Firefox (see #14393)\n\n\t\t\tconst endTime = this.context.currentTime + this.listener.timeDelta;\n\n\t\t\tpanner.positionX.linearRampToValueAtTime( _position.x, endTime );\n\t\t\tpanner.positionY.linearRampToValueAtTime( _position.y, endTime );\n\t\t\tpanner.positionZ.linearRampToValueAtTime( _position.z, endTime );\n\t\t\tpanner.orientationX.linearRampToValueAtTime( _orientation.x, endTime );\n\t\t\tpanner.orientationY.linearRampToValueAtTime( _orientation.y, endTime );\n\t\t\tpanner.orientationZ.linearRampToValueAtTime( _orientation.z, endTime );\n\n\t\t} else {\n\n\t\t\tpanner.setPosition( _position.x, _position.y, _position.z );\n\t\t\tpanner.setOrientation( _orientation.x, _orientation.y, _orientation.z );\n\n\t\t}\n\n\t}\n\n}\n\nclass AudioAnalyser {\n\n\tconstructor( audio, fftSize = 2048 ) {\n\n\t\tthis.analyser = audio.context.createAnalyser();\n\t\tthis.analyser.fftSize = fftSize;\n\n\t\tthis.data = new Uint8Array( this.analyser.frequencyBinCount );\n\n\t\taudio.getOutput().connect( this.analyser );\n\n\t}\n\n\n\tgetFrequencyData() {\n\n\t\tthis.analyser.getByteFrequencyData( this.data );\n\n\t\treturn this.data;\n\n\t}\n\n\tgetAverageFrequency() {\n\n\t\tlet value = 0;\n\t\tconst data = this.getFrequencyData();\n\n\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\tvalue += data[ i ];\n\n\t\t}\n\n\t\treturn value / data.length;\n\n\t}\n\n}\n\nclass PropertyMixer {\n\n\tconstructor( binding, typeName, valueSize ) {\n\n\t\tthis.binding = binding;\n\t\tthis.valueSize = valueSize;\n\n\t\tlet mixFunction,\n\t\t\tmixFunctionAdditive,\n\t\t\tsetIdentity;\n\n\t\t// buffer layout: [ incoming | accu0 | accu1 | orig | addAccu | (optional work) ]\n\t\t//\n\t\t// interpolators can use .buffer as their .result\n\t\t// the data then goes to 'incoming'\n\t\t//\n\t\t// 'accu0' and 'accu1' are used frame-interleaved for\n\t\t// the cumulative result and are compared to detect\n\t\t// changes\n\t\t//\n\t\t// 'orig' stores the original state of the property\n\t\t//\n\t\t// 'add' is used for additive cumulative results\n\t\t//\n\t\t// 'work' is optional and is only present for quaternion types. It is used\n\t\t// to store intermediate quaternion multiplication results\n\n\t\tswitch ( typeName ) {\n\n\t\t\tcase 'quaternion':\n\t\t\t\tmixFunction = this._slerp;\n\t\t\t\tmixFunctionAdditive = this._slerpAdditive;\n\t\t\t\tsetIdentity = this._setAdditiveIdentityQuaternion;\n\n\t\t\t\tthis.buffer = new Float64Array( valueSize * 6 );\n\t\t\t\tthis._workIndex = 5;\n\t\t\t\tbreak;\n\n\t\t\tcase 'string':\n\t\t\tcase 'bool':\n\t\t\t\tmixFunction = this._select;\n\n\t\t\t\t// Use the regular mix function and for additive on these types,\n\t\t\t\t// additive is not relevant for non-numeric types\n\t\t\t\tmixFunctionAdditive = this._select;\n\n\t\t\t\tsetIdentity = this._setAdditiveIdentityOther;\n\n\t\t\t\tthis.buffer = new Array( valueSize * 5 );\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tmixFunction = this._lerp;\n\t\t\t\tmixFunctionAdditive = this._lerpAdditive;\n\t\t\t\tsetIdentity = this._setAdditiveIdentityNumeric;\n\n\t\t\t\tthis.buffer = new Float64Array( valueSize * 5 );\n\n\t\t}\n\n\t\tthis._mixBufferRegion = mixFunction;\n\t\tthis._mixBufferRegionAdditive = mixFunctionAdditive;\n\t\tthis._setIdentity = setIdentity;\n\t\tthis._origIndex = 3;\n\t\tthis._addIndex = 4;\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t\tthis.useCount = 0;\n\t\tthis.referenceCount = 0;\n\n\t}\n\n\t// accumulate data in the 'incoming' region into 'accu'\n\taccumulate( accuIndex, weight ) {\n\n\t\t// note: happily accumulating nothing when weight = 0, the caller knows\n\t\t// the weight and shouldn't have made the call in the first place\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = accuIndex * stride + stride;\n\n\t\tlet currentWeight = this.cumulativeWeight;\n\n\t\tif ( currentWeight === 0 ) {\n\n\t\t\t// accuN := incoming * weight\n\n\t\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\t\tbuffer[ offset + i ] = buffer[ i ];\n\n\t\t\t}\n\n\t\t\tcurrentWeight = weight;\n\n\t\t} else {\n\n\t\t\t// accuN := accuN + incoming * weight\n\n\t\t\tcurrentWeight += weight;\n\t\t\tconst mix = weight / currentWeight;\n\t\t\tthis._mixBufferRegion( buffer, offset, 0, mix, stride );\n\n\t\t}\n\n\t\tthis.cumulativeWeight = currentWeight;\n\n\t}\n\n\t// accumulate data in the 'incoming' region into 'add'\n\taccumulateAdditive( weight ) {\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = stride * this._addIndex;\n\n\t\tif ( this.cumulativeWeightAdditive === 0 ) {\n\n\t\t\t// add = identity\n\n\t\t\tthis._setIdentity();\n\n\t\t}\n\n\t\t// add := add + incoming * weight\n\n\t\tthis._mixBufferRegionAdditive( buffer, offset, 0, weight, stride );\n\t\tthis.cumulativeWeightAdditive += weight;\n\n\t}\n\n\t// apply the state of 'accu' to the binding when accus differ\n\tapply( accuIndex ) {\n\n\t\tconst stride = this.valueSize,\n\t\t\tbuffer = this.buffer,\n\t\t\toffset = accuIndex * stride + stride,\n\n\t\t\tweight = this.cumulativeWeight,\n\t\t\tweightAdditive = this.cumulativeWeightAdditive,\n\n\t\t\tbinding = this.binding;\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t\tif ( weight < 1 ) {\n\n\t\t\t// accuN := accuN + original * ( 1 - cumulativeWeight )\n\n\t\t\tconst originalValueOffset = stride * this._origIndex;\n\n\t\t\tthis._mixBufferRegion(\n\t\t\t\tbuffer, offset, originalValueOffset, 1 - weight, stride );\n\n\t\t}\n\n\t\tif ( weightAdditive > 0 ) {\n\n\t\t\t// accuN := accuN + additive accuN\n\n\t\t\tthis._mixBufferRegionAdditive( buffer, offset, this._addIndex * stride, 1, stride );\n\n\t\t}\n\n\t\tfor ( let i = stride, e = stride + stride; i !== e; ++ i ) {\n\n\t\t\tif ( buffer[ i ] !== buffer[ i + stride ] ) {\n\n\t\t\t\t// value has changed -> update scene graph\n\n\t\t\t\tbinding.setValue( buffer, offset );\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t// remember the state of the bound property and copy it to both accus\n\tsaveOriginalState() {\n\n\t\tconst binding = this.binding;\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\n\t\t\toriginalValueOffset = stride * this._origIndex;\n\n\t\tbinding.getValue( buffer, originalValueOffset );\n\n\t\t// accu[0..1] := orig -- initially detect changes against the original\n\t\tfor ( let i = stride, e = originalValueOffset; i !== e; ++ i ) {\n\n\t\t\tbuffer[ i ] = buffer[ originalValueOffset + ( i % stride ) ];\n\n\t\t}\n\n\t\t// Add to identity for additive\n\t\tthis._setIdentity();\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t}\n\n\t// apply the state previously taken via 'saveOriginalState' to the binding\n\trestoreOriginalState() {\n\n\t\tconst originalValueOffset = this.valueSize * 3;\n\t\tthis.binding.setValue( this.buffer, originalValueOffset );\n\n\t}\n\n\t_setAdditiveIdentityNumeric() {\n\n\t\tconst startIndex = this._addIndex * this.valueSize;\n\t\tconst endIndex = startIndex + this.valueSize;\n\n\t\tfor ( let i = startIndex; i < endIndex; i ++ ) {\n\n\t\t\tthis.buffer[ i ] = 0;\n\n\t\t}\n\n\t}\n\n\t_setAdditiveIdentityQuaternion() {\n\n\t\tthis._setAdditiveIdentityNumeric();\n\t\tthis.buffer[ this._addIndex * this.valueSize + 3 ] = 1;\n\n\t}\n\n\t_setAdditiveIdentityOther() {\n\n\t\tconst startIndex = this._origIndex * this.valueSize;\n\t\tconst targetIndex = this._addIndex * this.valueSize;\n\n\t\tfor ( let i = 0; i < this.valueSize; i ++ ) {\n\n\t\t\tthis.buffer[ targetIndex + i ] = this.buffer[ startIndex + i ];\n\n\t\t}\n\n\t}\n\n\n\t// mix functions\n\n\t_select( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tif ( t >= 0.5 ) {\n\n\t\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\t\tbuffer[ dstOffset + i ] = buffer[ srcOffset + i ];\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_slerp( buffer, dstOffset, srcOffset, t ) {\n\n\t\tQuaternion.slerpFlat( buffer, dstOffset, buffer, dstOffset, buffer, srcOffset, t );\n\n\t}\n\n\t_slerpAdditive( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tconst workOffset = this._workIndex * stride;\n\n\t\t// Store result in intermediate buffer offset\n\t\tQuaternion.multiplyQuaternionsFlat( buffer, workOffset, buffer, dstOffset, buffer, srcOffset );\n\n\t\t// Slerp to the intermediate result\n\t\tQuaternion.slerpFlat( buffer, dstOffset, buffer, dstOffset, buffer, workOffset, t );\n\n\t}\n\n\t_lerp( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tconst s = 1 - t;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tconst j = dstOffset + i;\n\n\t\t\tbuffer[ j ] = buffer[ j ] * s + buffer[ srcOffset + i ] * t;\n\n\t\t}\n\n\t}\n\n\t_lerpAdditive( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tconst j = dstOffset + i;\n\n\t\t\tbuffer[ j ] = buffer[ j ] + buffer[ srcOffset + i ] * t;\n\n\t\t}\n\n\t}\n\n}\n\n// Characters [].:/ are reserved for track binding syntax.\nconst _RESERVED_CHARS_RE = '\\\\[\\\\]\\\\.:\\\\/';\nconst _reservedRe = new RegExp( '[' + _RESERVED_CHARS_RE + ']', 'g' );\n\n// Attempts to allow node names from any language. ES5's `\\w` regexp matches\n// only latin characters, and the unicode \\p{L} is not yet supported. So\n// instead, we exclude reserved characters and match everything else.\nconst _wordChar = '[^' + _RESERVED_CHARS_RE + ']';\nconst _wordCharOrDot = '[^' + _RESERVED_CHARS_RE.replace( '\\\\.', '' ) + ']';\n\n// Parent directories, delimited by '/' or ':'. Currently unused, but must\n// be matched to parse the rest of the track name.\nconst _directoryRe = /*@__PURE__*/ /((?:WC+[\\/:])*)/.source.replace( 'WC', _wordChar );\n\n// Target node. May contain word characters (a-zA-Z0-9_) and '.' or '-'.\nconst _nodeRe = /*@__PURE__*/ /(WCOD+)?/.source.replace( 'WCOD', _wordCharOrDot );\n\n// Object on target node, and accessor. May not contain reserved\n// characters. Accessor may contain any character except closing bracket.\nconst _objectRe = /*@__PURE__*/ /(?:\\.(WC+)(?:\\[(.+)\\])?)?/.source.replace( 'WC', _wordChar );\n\n// Property and accessor. May not contain reserved characters. Accessor may\n// contain any non-bracket characters.\nconst _propertyRe = /*@__PURE__*/ /\\.(WC+)(?:\\[(.+)\\])?/.source.replace( 'WC', _wordChar );\n\nconst _trackRe = new RegExp( ''\n\t+ '^'\n\t+ _directoryRe\n\t+ _nodeRe\n\t+ _objectRe\n\t+ _propertyRe\n\t+ '$'\n);\n\nconst _supportedObjectNames = [ 'material', 'materials', 'bones', 'map' ];\n\nclass Composite {\n\n\tconstructor( targetGroup, path, optionalParsedPath ) {\n\n\t\tconst parsedPath = optionalParsedPath || PropertyBinding.parseTrackName( path );\n\n\t\tthis._targetGroup = targetGroup;\n\t\tthis._bindings = targetGroup.subscribe_( path, parsedPath );\n\n\t}\n\n\tgetValue( array, offset ) {\n\n\t\tthis.bind(); // bind all binding\n\n\t\tconst firstValidIndex = this._targetGroup.nCachedObjects_,\n\t\t\tbinding = this._bindings[ firstValidIndex ];\n\n\t\t// and only call .getValue on the first\n\t\tif ( binding !== undefined ) binding.getValue( array, offset );\n\n\t}\n\n\tsetValue( array, offset ) {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].setValue( array, offset );\n\n\t\t}\n\n\t}\n\n\tbind() {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].bind();\n\n\t\t}\n\n\t}\n\n\tunbind() {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].unbind();\n\n\t\t}\n\n\t}\n\n}\n\n// Note: This class uses a State pattern on a per-method basis:\n// 'bind' sets 'this.getValue' / 'setValue' and shadows the\n// prototype version of these methods with one that represents\n// the bound state. When the property is not found, the methods\n// become no-ops.\nclass PropertyBinding {\n\n\tconstructor( rootNode, path, parsedPath ) {\n\n\t\tthis.path = path;\n\t\tthis.parsedPath = parsedPath || PropertyBinding.parseTrackName( path );\n\n\t\tthis.node = PropertyBinding.findNode( rootNode, this.parsedPath.nodeName );\n\n\t\tthis.rootNode = rootNode;\n\n\t\t// initial state of these methods that calls 'bind'\n\t\tthis.getValue = this._getValue_unbound;\n\t\tthis.setValue = this._setValue_unbound;\n\n\t}\n\n\n\tstatic create( root, path, parsedPath ) {\n\n\t\tif ( ! ( root && root.isAnimationObjectGroup ) ) {\n\n\t\t\treturn new PropertyBinding( root, path, parsedPath );\n\n\t\t} else {\n\n\t\t\treturn new PropertyBinding.Composite( root, path, parsedPath );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Replaces spaces with underscores and removes unsupported characters from\n\t * node names, to ensure compatibility with parseTrackName().\n\t *\n\t * @param {string} name Node name to be sanitized.\n\t * @return {string}\n\t */\n\tstatic sanitizeNodeName( name ) {\n\n\t\treturn name.replace( /\\s/g, '_' ).replace( _reservedRe, '' );\n\n\t}\n\n\tstatic parseTrackName( trackName ) {\n\n\t\tconst matches = _trackRe.exec( trackName );\n\n\t\tif ( matches === null ) {\n\n\t\t\tthrow new Error( 'PropertyBinding: Cannot parse trackName: ' + trackName );\n\n\t\t}\n\n\t\tconst results = {\n\t\t\t// directoryName: matches[ 1 ], // (tschw) currently unused\n\t\t\tnodeName: matches[ 2 ],\n\t\t\tobjectName: matches[ 3 ],\n\t\t\tobjectIndex: matches[ 4 ],\n\t\t\tpropertyName: matches[ 5 ], // required\n\t\t\tpropertyIndex: matches[ 6 ]\n\t\t};\n\n\t\tconst lastDot = results.nodeName && results.nodeName.lastIndexOf( '.' );\n\n\t\tif ( lastDot !== undefined && lastDot !== - 1 ) {\n\n\t\t\tconst objectName = results.nodeName.substring( lastDot + 1 );\n\n\t\t\t// Object names must be checked against an allowlist. Otherwise, there\n\t\t\t// is no way to parse 'foo.bar.baz': 'baz' must be a property, but\n\t\t\t// 'bar' could be the objectName, or part of a nodeName (which can\n\t\t\t// include '.' characters).\n\t\t\tif ( _supportedObjectNames.indexOf( objectName ) !== - 1 ) {\n\n\t\t\t\tresults.nodeName = results.nodeName.substring( 0, lastDot );\n\t\t\t\tresults.objectName = objectName;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( results.propertyName === null || results.propertyName.length === 0 ) {\n\n\t\t\tthrow new Error( 'PropertyBinding: can not parse propertyName from trackName: ' + trackName );\n\n\t\t}\n\n\t\treturn results;\n\n\t}\n\n\tstatic findNode( root, nodeName ) {\n\n\t\tif ( nodeName === undefined || nodeName === '' || nodeName === '.' || nodeName === - 1 || nodeName === root.name || nodeName === root.uuid ) {\n\n\t\t\treturn root;\n\n\t\t}\n\n\t\t// search into skeleton bones.\n\t\tif ( root.skeleton ) {\n\n\t\t\tconst bone = root.skeleton.getBoneByName( nodeName );\n\n\t\t\tif ( bone !== undefined ) {\n\n\t\t\t\treturn bone;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// search into node subtree.\n\t\tif ( root.children ) {\n\n\t\t\tconst searchNodeSubtree = function ( children ) {\n\n\t\t\t\tfor ( let i = 0; i < children.length; i ++ ) {\n\n\t\t\t\t\tconst childNode = children[ i ];\n\n\t\t\t\t\tif ( childNode.name === nodeName || childNode.uuid === nodeName ) {\n\n\t\t\t\t\t\treturn childNode;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst result = searchNodeSubtree( childNode.children );\n\n\t\t\t\t\tif ( result ) return result;\n\n\t\t\t\t}\n\n\t\t\t\treturn null;\n\n\t\t\t};\n\n\t\t\tconst subTreeNode = searchNodeSubtree( root.children );\n\n\t\t\tif ( subTreeNode ) {\n\n\t\t\t\treturn subTreeNode;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\t// these are used to \"bind\" a nonexistent property\n\t_getValue_unavailable() {}\n\t_setValue_unavailable() {}\n\n\t// Getters\n\n\t_getValue_direct( buffer, offset ) {\n\n\t\tbuffer[ offset ] = this.targetObject[ this.propertyName ];\n\n\t}\n\n\t_getValue_array( buffer, offset ) {\n\n\t\tconst source = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = source.length; i !== n; ++ i ) {\n\n\t\t\tbuffer[ offset ++ ] = source[ i ];\n\n\t\t}\n\n\t}\n\n\t_getValue_arrayElement( buffer, offset ) {\n\n\t\tbuffer[ offset ] = this.resolvedProperty[ this.propertyIndex ];\n\n\t}\n\n\t_getValue_toArray( buffer, offset ) {\n\n\t\tthis.resolvedProperty.toArray( buffer, offset );\n\n\t}\n\n\t// Direct\n\n\t_setValue_direct( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\n\t}\n\n\t_setValue_direct_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_direct_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// EntireArray\n\n\t_setValue_array( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t}\n\n\t_setValue_array_setNeedsUpdate( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_array_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// ArrayElement\n\n\t_setValue_arrayElement( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\n\t}\n\n\t_setValue_arrayElement_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_arrayElement_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// HasToFromArray\n\n\t_setValue_fromArray( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\n\t}\n\n\t_setValue_fromArray_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_fromArray_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t_getValue_unbound( targetArray, offset ) {\n\n\t\tthis.bind();\n\t\tthis.getValue( targetArray, offset );\n\n\t}\n\n\t_setValue_unbound( sourceArray, offset ) {\n\n\t\tthis.bind();\n\t\tthis.setValue( sourceArray, offset );\n\n\t}\n\n\t// create getter / setter pair for a property in the scene graph\n\tbind() {\n\n\t\tlet targetObject = this.node;\n\t\tconst parsedPath = this.parsedPath;\n\n\t\tconst objectName = parsedPath.objectName;\n\t\tconst propertyName = parsedPath.propertyName;\n\t\tlet propertyIndex = parsedPath.propertyIndex;\n\n\t\tif ( ! targetObject ) {\n\n\t\t\ttargetObject = PropertyBinding.findNode( this.rootNode, parsedPath.nodeName );\n\n\t\t\tthis.node = targetObject;\n\n\t\t}\n\n\t\t// set fail state so we can just 'return' on error\n\t\tthis.getValue = this._getValue_unavailable;\n\t\tthis.setValue = this._setValue_unavailable;\n\n\t\t// ensure there is a value node\n\t\tif ( ! targetObject ) {\n\n\t\t\tconsole.warn( 'THREE.PropertyBinding: No target node found for track: ' + this.path + '.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( objectName ) {\n\n\t\t\tlet objectIndex = parsedPath.objectIndex;\n\n\t\t\t// special cases were we need to reach deeper into the hierarchy to get the face materials....\n\t\t\tswitch ( objectName ) {\n\n\t\t\t\tcase 'materials':\n\n\t\t\t\t\tif ( ! targetObject.material ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material as node does not have a material.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material.materials ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material.materials as node.material does not have a materials array.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject.material.materials;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'bones':\n\n\t\t\t\t\tif ( ! targetObject.skeleton ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to bones as node does not have a skeleton.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// potential future optimization: skip this if propertyIndex is already an integer\n\t\t\t\t\t// and convert the integer string to a true integer.\n\n\t\t\t\t\ttargetObject = targetObject.skeleton.bones;\n\n\t\t\t\t\t// support resolving morphTarget names into indices.\n\t\t\t\t\tfor ( let i = 0; i < targetObject.length; i ++ ) {\n\n\t\t\t\t\t\tif ( targetObject[ i ].name === objectIndex ) {\n\n\t\t\t\t\t\t\tobjectIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'map':\n\n\t\t\t\t\tif ( 'map' in targetObject ) {\n\n\t\t\t\t\t\ttargetObject = targetObject.map;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material as node does not have a material.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material.map ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material.map as node.material does not have a map.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject.material.map;\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tif ( targetObject[ objectName ] === undefined ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to objectName of node undefined.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject[ objectName ];\n\n\t\t\t}\n\n\n\t\t\tif ( objectIndex !== undefined ) {\n\n\t\t\t\tif ( targetObject[ objectIndex ] === undefined ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Trying to bind to objectIndex of objectName, but is undefined.', this, targetObject );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\ttargetObject = targetObject[ objectIndex ];\n\n\t\t\t}\n\n\t\t}\n\n\t\t// resolve property\n\t\tconst nodeProperty = targetObject[ propertyName ];\n\n\t\tif ( nodeProperty === undefined ) {\n\n\t\t\tconst nodeName = parsedPath.nodeName;\n\n\t\t\tconsole.error( 'THREE.PropertyBinding: Trying to update property for track: ' + nodeName +\n\t\t\t\t'.' + propertyName + ' but it wasn\\'t found.', targetObject );\n\t\t\treturn;\n\n\t\t}\n\n\t\t// determine versioning scheme\n\t\tlet versioning = this.Versioning.None;\n\n\t\tthis.targetObject = targetObject;\n\n\t\tif ( targetObject.needsUpdate !== undefined ) { // material\n\n\t\t\tversioning = this.Versioning.NeedsUpdate;\n\n\t\t} else if ( targetObject.matrixWorldNeedsUpdate !== undefined ) { // node transform\n\n\t\t\tversioning = this.Versioning.MatrixWorldNeedsUpdate;\n\n\t\t}\n\n\t\t// determine how the property gets bound\n\t\tlet bindingType = this.BindingType.Direct;\n\n\t\tif ( propertyIndex !== undefined ) {\n\n\t\t\t// access a sub element of the property array (only primitives are supported right now)\n\n\t\t\tif ( propertyName === 'morphTargetInfluences' ) {\n\n\t\t\t\t// potential optimization, skip this if propertyIndex is already an integer, and convert the integer string to a true integer.\n\n\t\t\t\t// support resolving morphTarget names into indices.\n\t\t\t\tif ( ! targetObject.geometry ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.', this );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\tif ( ! targetObject.geometry.morphAttributes ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphAttributes.', this );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\tif ( targetObject.morphTargetDictionary[ propertyIndex ] !== undefined ) {\n\n\t\t\t\t\tpropertyIndex = targetObject.morphTargetDictionary[ propertyIndex ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tbindingType = this.BindingType.ArrayElement;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\t\t\tthis.propertyIndex = propertyIndex;\n\n\t\t} else if ( nodeProperty.fromArray !== undefined && nodeProperty.toArray !== undefined ) {\n\n\t\t\t// must use copy for Object3D.Euler/Quaternion\n\n\t\t\tbindingType = this.BindingType.HasFromToArray;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\n\t\t} else if ( Array.isArray( nodeProperty ) ) {\n\n\t\t\tbindingType = this.BindingType.EntireArray;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\n\t\t} else {\n\n\t\t\tthis.propertyName = propertyName;\n\n\t\t}\n\n\t\t// select getter / setter\n\t\tthis.getValue = this.GetterByBindingType[ bindingType ];\n\t\tthis.setValue = this.SetterByBindingTypeAndVersioning[ bindingType ][ versioning ];\n\n\t}\n\n\tunbind() {\n\n\t\tthis.node = null;\n\n\t\t// back to the prototype version of getValue / setValue\n\t\t// note: avoiding to mutate the shape of 'this' via 'delete'\n\t\tthis.getValue = this._getValue_unbound;\n\t\tthis.setValue = this._setValue_unbound;\n\n\t}\n\n}\n\nPropertyBinding.Composite = Composite;\n\nPropertyBinding.prototype.BindingType = {\n\tDirect: 0,\n\tEntireArray: 1,\n\tArrayElement: 2,\n\tHasFromToArray: 3\n};\n\nPropertyBinding.prototype.Versioning = {\n\tNone: 0,\n\tNeedsUpdate: 1,\n\tMatrixWorldNeedsUpdate: 2\n};\n\nPropertyBinding.prototype.GetterByBindingType = [\n\n\tPropertyBinding.prototype._getValue_direct,\n\tPropertyBinding.prototype._getValue_array,\n\tPropertyBinding.prototype._getValue_arrayElement,\n\tPropertyBinding.prototype._getValue_toArray,\n\n];\n\nPropertyBinding.prototype.SetterByBindingTypeAndVersioning = [\n\n\t[\n\t\t// Direct\n\t\tPropertyBinding.prototype._setValue_direct,\n\t\tPropertyBinding.prototype._setValue_direct_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_direct_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// EntireArray\n\n\t\tPropertyBinding.prototype._setValue_array,\n\t\tPropertyBinding.prototype._setValue_array_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_array_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// ArrayElement\n\t\tPropertyBinding.prototype._setValue_arrayElement,\n\t\tPropertyBinding.prototype._setValue_arrayElement_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_arrayElement_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// HasToFromArray\n\t\tPropertyBinding.prototype._setValue_fromArray,\n\t\tPropertyBinding.prototype._setValue_fromArray_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_fromArray_setMatrixWorldNeedsUpdate,\n\n\t]\n\n];\n\n/**\n *\n * A group of objects that receives a shared animation state.\n *\n * Usage:\n *\n * - Add objects you would otherwise pass as 'root' to the\n * constructor or the .clipAction method of AnimationMixer.\n *\n * - Instead pass this object as 'root'.\n *\n * - You can also add and remove objects later when the mixer\n * is running.\n *\n * Note:\n *\n * Objects of this class appear as one object to the mixer,\n * so cache control of the individual objects must be done\n * on the group.\n *\n * Limitation:\n *\n * - The animated properties must be compatible among the\n * all objects in the group.\n *\n * - A single property can either be controlled through a\n * target group or directly, but not both.\n */\n\nclass AnimationObjectGroup {\n\n\tconstructor() {\n\n\t\tthis.isAnimationObjectGroup = true;\n\n\t\tthis.uuid = generateUUID();\n\n\t\t// cached objects followed by the active ones\n\t\tthis._objects = Array.prototype.slice.call( arguments );\n\n\t\tthis.nCachedObjects_ = 0; // threshold\n\t\t// note: read by PropertyBinding.Composite\n\n\t\tconst indices = {};\n\t\tthis._indicesByUUID = indices; // for bookkeeping\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tindices[ arguments[ i ].uuid ] = i;\n\n\t\t}\n\n\t\tthis._paths = []; // inside: string\n\t\tthis._parsedPaths = []; // inside: { we don't care, here }\n\t\tthis._bindings = []; // inside: Array< PropertyBinding >\n\t\tthis._bindingsIndicesByPath = {}; // inside: indices in these arrays\n\n\t\tconst scope = this;\n\n\t\tthis.stats = {\n\n\t\t\tobjects: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._objects.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn this.total - scope.nCachedObjects_;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tget bindingsPerObject() {\n\n\t\t\t\treturn scope._bindings.length;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tadd() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tpaths = this._paths,\n\t\t\tparsedPaths = this._parsedPaths,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet knownObject = undefined,\n\t\t\tnObjects = objects.length,\n\t\t\tnCachedObjects = this.nCachedObjects_;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid;\n\t\t\tlet index = indicesByUUID[ uuid ];\n\n\t\t\tif ( index === undefined ) {\n\n\t\t\t\t// unknown object -> add it to the ACTIVE region\n\n\t\t\t\tindex = nObjects ++;\n\t\t\t\tindicesByUUID[ uuid ] = index;\n\t\t\t\tobjects.push( object );\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tbindings[ j ].push( new PropertyBinding( object, paths[ j ], parsedPaths[ j ] ) );\n\n\t\t\t\t}\n\n\t\t\t} else if ( index < nCachedObjects ) {\n\n\t\t\t\tknownObject = objects[ index ];\n\n\t\t\t\t// move existing object to the ACTIVE region\n\n\t\t\t\tconst firstActiveIndex = -- nCachedObjects,\n\t\t\t\t\tlastCachedObject = objects[ firstActiveIndex ];\n\n\t\t\t\tindicesByUUID[ lastCachedObject.uuid ] = index;\n\t\t\t\tobjects[ index ] = lastCachedObject;\n\n\t\t\t\tindicesByUUID[ uuid ] = firstActiveIndex;\n\t\t\t\tobjects[ firstActiveIndex ] = object;\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\tlastCached = bindingsForPath[ firstActiveIndex ];\n\n\t\t\t\t\tlet binding = bindingsForPath[ index ];\n\n\t\t\t\t\tbindingsForPath[ index ] = lastCached;\n\n\t\t\t\t\tif ( binding === undefined ) {\n\n\t\t\t\t\t\t// since we do not bother to create new bindings\n\t\t\t\t\t\t// for objects that are cached, the binding may\n\t\t\t\t\t\t// or may not exist\n\n\t\t\t\t\t\tbinding = new PropertyBinding( object, paths[ j ], parsedPaths[ j ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbindingsForPath[ firstActiveIndex ] = binding;\n\n\t\t\t\t}\n\n\t\t\t} else if ( objects[ index ] !== knownObject ) {\n\n\t\t\t\tconsole.error( 'THREE.AnimationObjectGroup: Different objects with the same UUID ' +\n\t\t\t\t\t'detected. Clean the caches or recreate your infrastructure when reloading scenes.' );\n\n\t\t\t} // else the object is already where we want it to be\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\tremove() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet nCachedObjects = this.nCachedObjects_;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid,\n\t\t\t\tindex = indicesByUUID[ uuid ];\n\n\t\t\tif ( index !== undefined && index >= nCachedObjects ) {\n\n\t\t\t\t// move existing object into the CACHED region\n\n\t\t\t\tconst lastCachedIndex = nCachedObjects ++,\n\t\t\t\t\tfirstActiveObject = objects[ lastCachedIndex ];\n\n\t\t\t\tindicesByUUID[ firstActiveObject.uuid ] = index;\n\t\t\t\tobjects[ index ] = firstActiveObject;\n\n\t\t\t\tindicesByUUID[ uuid ] = lastCachedIndex;\n\t\t\t\tobjects[ lastCachedIndex ] = object;\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\tfirstActive = bindingsForPath[ lastCachedIndex ],\n\t\t\t\t\t\tbinding = bindingsForPath[ index ];\n\n\t\t\t\t\tbindingsForPath[ index ] = firstActive;\n\t\t\t\t\tbindingsForPath[ lastCachedIndex ] = binding;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\t// remove & forget\n\tuncache() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet nCachedObjects = this.nCachedObjects_,\n\t\t\tnObjects = objects.length;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid,\n\t\t\t\tindex = indicesByUUID[ uuid ];\n\n\t\t\tif ( index !== undefined ) {\n\n\t\t\t\tdelete indicesByUUID[ uuid ];\n\n\t\t\t\tif ( index < nCachedObjects ) {\n\n\t\t\t\t\t// object is cached, shrink the CACHED region\n\n\t\t\t\t\tconst firstActiveIndex = -- nCachedObjects,\n\t\t\t\t\t\tlastCachedObject = objects[ firstActiveIndex ],\n\t\t\t\t\t\tlastIndex = -- nObjects,\n\t\t\t\t\t\tlastObject = objects[ lastIndex ];\n\n\t\t\t\t\t// last cached object takes this object's place\n\t\t\t\t\tindicesByUUID[ lastCachedObject.uuid ] = index;\n\t\t\t\t\tobjects[ index ] = lastCachedObject;\n\n\t\t\t\t\t// last object goes to the activated slot and pop\n\t\t\t\t\tindicesByUUID[ lastObject.uuid ] = firstActiveIndex;\n\t\t\t\t\tobjects[ firstActiveIndex ] = lastObject;\n\t\t\t\t\tobjects.pop();\n\n\t\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\t\tlastCached = bindingsForPath[ firstActiveIndex ],\n\t\t\t\t\t\t\tlast = bindingsForPath[ lastIndex ];\n\n\t\t\t\t\t\tbindingsForPath[ index ] = lastCached;\n\t\t\t\t\t\tbindingsForPath[ firstActiveIndex ] = last;\n\t\t\t\t\t\tbindingsForPath.pop();\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// object is active, just swap with the last and pop\n\n\t\t\t\t\tconst lastIndex = -- nObjects,\n\t\t\t\t\t\tlastObject = objects[ lastIndex ];\n\n\t\t\t\t\tif ( lastIndex > 0 ) {\n\n\t\t\t\t\t\tindicesByUUID[ lastObject.uuid ] = index;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tobjects[ index ] = lastObject;\n\t\t\t\t\tobjects.pop();\n\n\t\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\t\tconst bindingsForPath = bindings[ j ];\n\n\t\t\t\t\t\tbindingsForPath[ index ] = bindingsForPath[ lastIndex ];\n\t\t\t\t\t\tbindingsForPath.pop();\n\n\t\t\t\t\t}\n\n\t\t\t\t} // cached or active\n\n\t\t\t} // if object is known\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\t// Internal interface used by befriended PropertyBinding.Composite:\n\n\tsubscribe_( path, parsedPath ) {\n\n\t\t// returns an array of bindings for the given path that is changed\n\t\t// according to the contained objects in the group\n\n\t\tconst indicesByPath = this._bindingsIndicesByPath;\n\t\tlet index = indicesByPath[ path ];\n\t\tconst bindings = this._bindings;\n\n\t\tif ( index !== undefined ) return bindings[ index ];\n\n\t\tconst paths = this._paths,\n\t\t\tparsedPaths = this._parsedPaths,\n\t\t\tobjects = this._objects,\n\t\t\tnObjects = objects.length,\n\t\t\tnCachedObjects = this.nCachedObjects_,\n\t\t\tbindingsForPath = new Array( nObjects );\n\n\t\tindex = bindings.length;\n\n\t\tindicesByPath[ path ] = index;\n\n\t\tpaths.push( path );\n\t\tparsedPaths.push( parsedPath );\n\t\tbindings.push( bindingsForPath );\n\n\t\tfor ( let i = nCachedObjects, n = objects.length; i !== n; ++ i ) {\n\n\t\t\tconst object = objects[ i ];\n\t\t\tbindingsForPath[ i ] = new PropertyBinding( object, path, parsedPath );\n\n\t\t}\n\n\t\treturn bindingsForPath;\n\n\t}\n\n\tunsubscribe_( path ) {\n\n\t\t// tells the group to forget about a property path and no longer\n\t\t// update the array previously obtained with 'subscribe_'\n\n\t\tconst indicesByPath = this._bindingsIndicesByPath,\n\t\t\tindex = indicesByPath[ path ];\n\n\t\tif ( index !== undefined ) {\n\n\t\t\tconst paths = this._paths,\n\t\t\t\tparsedPaths = this._parsedPaths,\n\t\t\t\tbindings = this._bindings,\n\t\t\t\tlastBindingsIndex = bindings.length - 1,\n\t\t\t\tlastBindings = bindings[ lastBindingsIndex ],\n\t\t\t\tlastBindingsPath = path[ lastBindingsIndex ];\n\n\t\t\tindicesByPath[ lastBindingsPath ] = index;\n\n\t\t\tbindings[ index ] = lastBindings;\n\t\t\tbindings.pop();\n\n\t\t\tparsedPaths[ index ] = parsedPaths[ lastBindingsIndex ];\n\t\t\tparsedPaths.pop();\n\n\t\t\tpaths[ index ] = paths[ lastBindingsIndex ];\n\t\t\tpaths.pop();\n\n\t\t}\n\n\t}\n\n}\n\nclass AnimationAction {\n\n\tconstructor( mixer, clip, localRoot = null, blendMode = clip.blendMode ) {\n\n\t\tthis._mixer = mixer;\n\t\tthis._clip = clip;\n\t\tthis._localRoot = localRoot;\n\t\tthis.blendMode = blendMode;\n\n\t\tconst tracks = clip.tracks,\n\t\t\tnTracks = tracks.length,\n\t\t\tinterpolants = new Array( nTracks );\n\n\t\tconst interpolantSettings = {\n\t\t\tendingStart: ZeroCurvatureEnding,\n\t\t\tendingEnd: ZeroCurvatureEnding\n\t\t};\n\n\t\tfor ( let i = 0; i !== nTracks; ++ i ) {\n\n\t\t\tconst interpolant = tracks[ i ].createInterpolant( null );\n\t\t\tinterpolants[ i ] = interpolant;\n\t\t\tinterpolant.settings = interpolantSettings;\n\n\t\t}\n\n\t\tthis._interpolantSettings = interpolantSettings;\n\n\t\tthis._interpolants = interpolants; // bound by the mixer\n\n\t\t// inside: PropertyMixer (managed by the mixer)\n\t\tthis._propertyBindings = new Array( nTracks );\n\n\t\tthis._cacheIndex = null; // for the memory manager\n\t\tthis._byClipCacheIndex = null; // for the memory manager\n\n\t\tthis._timeScaleInterpolant = null;\n\t\tthis._weightInterpolant = null;\n\n\t\tthis.loop = LoopRepeat;\n\t\tthis._loopCount = - 1;\n\n\t\t// global mixer time when the action is to be started\n\t\t// it's set back to 'null' upon start of the action\n\t\tthis._startTime = null;\n\n\t\t// scaled local time of the action\n\t\t// gets clamped or wrapped to 0..clip.duration according to loop\n\t\tthis.time = 0;\n\n\t\tthis.timeScale = 1;\n\t\tthis._effectiveTimeScale = 1;\n\n\t\tthis.weight = 1;\n\t\tthis._effectiveWeight = 1;\n\n\t\tthis.repetitions = Infinity; // no. of repetitions when looping\n\n\t\tthis.paused = false; // true -> zero effective time scale\n\t\tthis.enabled = true; // false -> zero effective weight\n\n\t\tthis.clampWhenFinished = false;// keep feeding the last frame?\n\n\t\tthis.zeroSlopeAtStart = true;// for smooth interpolation w/o separate\n\t\tthis.zeroSlopeAtEnd = true;// clips for start, loop and end\n\n\t}\n\n\t// State & Scheduling\n\n\tplay() {\n\n\t\tthis._mixer._activateAction( this );\n\n\t\treturn this;\n\n\t}\n\n\tstop() {\n\n\t\tthis._mixer._deactivateAction( this );\n\n\t\treturn this.reset();\n\n\t}\n\n\treset() {\n\n\t\tthis.paused = false;\n\t\tthis.enabled = true;\n\n\t\tthis.time = 0; // restart clip\n\t\tthis._loopCount = - 1;// forget previous loops\n\t\tthis._startTime = null;// forget scheduling\n\n\t\treturn this.stopFading().stopWarping();\n\n\t}\n\n\tisRunning() {\n\n\t\treturn this.enabled && ! this.paused && this.timeScale !== 0 &&\n\t\t\tthis._startTime === null && this._mixer._isActiveAction( this );\n\n\t}\n\n\t// return true when play has been called\n\tisScheduled() {\n\n\t\treturn this._mixer._isActiveAction( this );\n\n\t}\n\n\tstartAt( time ) {\n\n\t\tthis._startTime = time;\n\n\t\treturn this;\n\n\t}\n\n\tsetLoop( mode, repetitions ) {\n\n\t\tthis.loop = mode;\n\t\tthis.repetitions = repetitions;\n\n\t\treturn this;\n\n\t}\n\n\t// Weight\n\n\t// set the weight stopping any scheduled fading\n\t// although .enabled = false yields an effective weight of zero, this\n\t// method does *not* change .enabled, because it would be confusing\n\tsetEffectiveWeight( weight ) {\n\n\t\tthis.weight = weight;\n\n\t\t// note: same logic as when updated at runtime\n\t\tthis._effectiveWeight = this.enabled ? weight : 0;\n\n\t\treturn this.stopFading();\n\n\t}\n\n\t// return the weight considering fading and .enabled\n\tgetEffectiveWeight() {\n\n\t\treturn this._effectiveWeight;\n\n\t}\n\n\tfadeIn( duration ) {\n\n\t\treturn this._scheduleFading( duration, 0, 1 );\n\n\t}\n\n\tfadeOut( duration ) {\n\n\t\treturn this._scheduleFading( duration, 1, 0 );\n\n\t}\n\n\tcrossFadeFrom( fadeOutAction, duration, warp ) {\n\n\t\tfadeOutAction.fadeOut( duration );\n\t\tthis.fadeIn( duration );\n\n\t\tif ( warp ) {\n\n\t\t\tconst fadeInDuration = this._clip.duration,\n\t\t\t\tfadeOutDuration = fadeOutAction._clip.duration,\n\n\t\t\t\tstartEndRatio = fadeOutDuration / fadeInDuration,\n\t\t\t\tendStartRatio = fadeInDuration / fadeOutDuration;\n\n\t\t\tfadeOutAction.warp( 1.0, startEndRatio, duration );\n\t\t\tthis.warp( endStartRatio, 1.0, duration );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcrossFadeTo( fadeInAction, duration, warp ) {\n\n\t\treturn fadeInAction.crossFadeFrom( this, duration, warp );\n\n\t}\n\n\tstopFading() {\n\n\t\tconst weightInterpolant = this._weightInterpolant;\n\n\t\tif ( weightInterpolant !== null ) {\n\n\t\t\tthis._weightInterpolant = null;\n\t\t\tthis._mixer._takeBackControlInterpolant( weightInterpolant );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Time Scale Control\n\n\t// set the time scale stopping any scheduled warping\n\t// although .paused = true yields an effective time scale of zero, this\n\t// method does *not* change .paused, because it would be confusing\n\tsetEffectiveTimeScale( timeScale ) {\n\n\t\tthis.timeScale = timeScale;\n\t\tthis._effectiveTimeScale = this.paused ? 0 : timeScale;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\t// return the time scale considering warping and .paused\n\tgetEffectiveTimeScale() {\n\n\t\treturn this._effectiveTimeScale;\n\n\t}\n\n\tsetDuration( duration ) {\n\n\t\tthis.timeScale = this._clip.duration / duration;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\tsyncWith( action ) {\n\n\t\tthis.time = action.time;\n\t\tthis.timeScale = action.timeScale;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\thalt( duration ) {\n\n\t\treturn this.warp( this._effectiveTimeScale, 0, duration );\n\n\t}\n\n\twarp( startTimeScale, endTimeScale, duration ) {\n\n\t\tconst mixer = this._mixer,\n\t\t\tnow = mixer.time,\n\t\t\ttimeScale = this.timeScale;\n\n\t\tlet interpolant = this._timeScaleInterpolant;\n\n\t\tif ( interpolant === null ) {\n\n\t\t\tinterpolant = mixer._lendControlInterpolant();\n\t\t\tthis._timeScaleInterpolant = interpolant;\n\n\t\t}\n\n\t\tconst times = interpolant.parameterPositions,\n\t\t\tvalues = interpolant.sampleValues;\n\n\t\ttimes[ 0 ] = now;\n\t\ttimes[ 1 ] = now + duration;\n\n\t\tvalues[ 0 ] = startTimeScale / timeScale;\n\t\tvalues[ 1 ] = endTimeScale / timeScale;\n\n\t\treturn this;\n\n\t}\n\n\tstopWarping() {\n\n\t\tconst timeScaleInterpolant = this._timeScaleInterpolant;\n\n\t\tif ( timeScaleInterpolant !== null ) {\n\n\t\t\tthis._timeScaleInterpolant = null;\n\t\t\tthis._mixer._takeBackControlInterpolant( timeScaleInterpolant );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Object Accessors\n\n\tgetMixer() {\n\n\t\treturn this._mixer;\n\n\t}\n\n\tgetClip() {\n\n\t\treturn this._clip;\n\n\t}\n\n\tgetRoot() {\n\n\t\treturn this._localRoot || this._mixer._root;\n\n\t}\n\n\t// Interna\n\n\t_update( time, deltaTime, timeDirection, accuIndex ) {\n\n\t\t// called by the mixer\n\n\t\tif ( ! this.enabled ) {\n\n\t\t\t// call ._updateWeight() to update ._effectiveWeight\n\n\t\t\tthis._updateWeight( time );\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst startTime = this._startTime;\n\n\t\tif ( startTime !== null ) {\n\n\t\t\t// check for scheduled start of action\n\n\t\t\tconst timeRunning = ( time - startTime ) * timeDirection;\n\t\t\tif ( timeRunning < 0 || timeDirection === 0 ) {\n\n\t\t\t\tdeltaTime = 0;\n\n\t\t\t} else {\n\n\n\t\t\t\tthis._startTime = null; // unschedule\n\t\t\t\tdeltaTime = timeDirection * timeRunning;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// apply time scale and advance time\n\n\t\tdeltaTime *= this._updateTimeScale( time );\n\t\tconst clipTime = this._updateTime( deltaTime );\n\n\t\t// note: _updateTime may disable the action resulting in\n\t\t// an effective weight of 0\n\n\t\tconst weight = this._updateWeight( time );\n\n\t\tif ( weight > 0 ) {\n\n\t\t\tconst interpolants = this._interpolants;\n\t\t\tconst propertyMixers = this._propertyBindings;\n\n\t\t\tswitch ( this.blendMode ) {\n\n\t\t\t\tcase AdditiveAnimationBlendMode:\n\n\t\t\t\t\tfor ( let j = 0, m = interpolants.length; j !== m; ++ j ) {\n\n\t\t\t\t\t\tinterpolants[ j ].evaluate( clipTime );\n\t\t\t\t\t\tpropertyMixers[ j ].accumulateAdditive( weight );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase NormalAnimationBlendMode:\n\t\t\t\tdefault:\n\n\t\t\t\t\tfor ( let j = 0, m = interpolants.length; j !== m; ++ j ) {\n\n\t\t\t\t\t\tinterpolants[ j ].evaluate( clipTime );\n\t\t\t\t\t\tpropertyMixers[ j ].accumulate( accuIndex, weight );\n\n\t\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_updateWeight( time ) {\n\n\t\tlet weight = 0;\n\n\t\tif ( this.enabled ) {\n\n\t\t\tweight = this.weight;\n\t\t\tconst interpolant = this._weightInterpolant;\n\n\t\t\tif ( interpolant !== null ) {\n\n\t\t\t\tconst interpolantValue = interpolant.evaluate( time )[ 0 ];\n\n\t\t\t\tweight *= interpolantValue;\n\n\t\t\t\tif ( time > interpolant.parameterPositions[ 1 ] ) {\n\n\t\t\t\t\tthis.stopFading();\n\n\t\t\t\t\tif ( interpolantValue === 0 ) {\n\n\t\t\t\t\t\t// faded out, disable\n\t\t\t\t\t\tthis.enabled = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._effectiveWeight = weight;\n\t\treturn weight;\n\n\t}\n\n\t_updateTimeScale( time ) {\n\n\t\tlet timeScale = 0;\n\n\t\tif ( ! this.paused ) {\n\n\t\t\ttimeScale = this.timeScale;\n\n\t\t\tconst interpolant = this._timeScaleInterpolant;\n\n\t\t\tif ( interpolant !== null ) {\n\n\t\t\t\tconst interpolantValue = interpolant.evaluate( time )[ 0 ];\n\n\t\t\t\ttimeScale *= interpolantValue;\n\n\t\t\t\tif ( time > interpolant.parameterPositions[ 1 ] ) {\n\n\t\t\t\t\tthis.stopWarping();\n\n\t\t\t\t\tif ( timeScale === 0 ) {\n\n\t\t\t\t\t\t// motion has halted, pause\n\t\t\t\t\t\tthis.paused = true;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// warp done - apply final time scale\n\t\t\t\t\t\tthis.timeScale = timeScale;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._effectiveTimeScale = timeScale;\n\t\treturn timeScale;\n\n\t}\n\n\t_updateTime( deltaTime ) {\n\n\t\tconst duration = this._clip.duration;\n\t\tconst loop = this.loop;\n\n\t\tlet time = this.time + deltaTime;\n\t\tlet loopCount = this._loopCount;\n\n\t\tconst pingPong = ( loop === LoopPingPong );\n\n\t\tif ( deltaTime === 0 ) {\n\n\t\t\tif ( loopCount === - 1 ) return time;\n\n\t\t\treturn ( pingPong && ( loopCount & 1 ) === 1 ) ? duration - time : time;\n\n\t\t}\n\n\t\tif ( loop === LoopOnce ) {\n\n\t\t\tif ( loopCount === - 1 ) {\n\n\t\t\t\t// just started\n\n\t\t\t\tthis._loopCount = 0;\n\t\t\t\tthis._setEndings( true, true, false );\n\n\t\t\t}\n\n\t\t\thandle_stop: {\n\n\t\t\t\tif ( time >= duration ) {\n\n\t\t\t\t\ttime = duration;\n\n\t\t\t\t} else if ( time < 0 ) {\n\n\t\t\t\t\ttime = 0;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tbreak handle_stop;\n\n\t\t\t\t}\n\n\t\t\t\tif ( this.clampWhenFinished ) this.paused = true;\n\t\t\t\telse this.enabled = false;\n\n\t\t\t\tthis.time = time;\n\n\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\ttype: 'finished', action: this,\n\t\t\t\t\tdirection: deltaTime < 0 ? - 1 : 1\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t} else { // repetitive Repeat or PingPong\n\n\t\t\tif ( loopCount === - 1 ) {\n\n\t\t\t\t// just started\n\n\t\t\t\tif ( deltaTime >= 0 ) {\n\n\t\t\t\t\tloopCount = 0;\n\n\t\t\t\t\tthis._setEndings( true, this.repetitions === 0, pingPong );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// when looping in reverse direction, the initial\n\t\t\t\t\t// transition through zero counts as a repetition,\n\t\t\t\t\t// so leave loopCount at -1\n\n\t\t\t\t\tthis._setEndings( this.repetitions === 0, true, pingPong );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( time >= duration || time < 0 ) {\n\n\t\t\t\t// wrap around\n\n\t\t\t\tconst loopDelta = Math.floor( time / duration ); // signed\n\t\t\t\ttime -= duration * loopDelta;\n\n\t\t\t\tloopCount += Math.abs( loopDelta );\n\n\t\t\t\tconst pending = this.repetitions - loopCount;\n\n\t\t\t\tif ( pending <= 0 ) {\n\n\t\t\t\t\t// have to stop (switch state, clamp time, fire event)\n\n\t\t\t\t\tif ( this.clampWhenFinished ) this.paused = true;\n\t\t\t\t\telse this.enabled = false;\n\n\t\t\t\t\ttime = deltaTime > 0 ? duration : 0;\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\t\ttype: 'finished', action: this,\n\t\t\t\t\t\tdirection: deltaTime > 0 ? 1 : - 1\n\t\t\t\t\t} );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// keep running\n\n\t\t\t\t\tif ( pending === 1 ) {\n\n\t\t\t\t\t\t// entering the last round\n\n\t\t\t\t\t\tconst atStart = deltaTime < 0;\n\t\t\t\t\t\tthis._setEndings( atStart, ! atStart, pingPong );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthis._setEndings( false, false, pingPong );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tthis._loopCount = loopCount;\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\t\ttype: 'loop', action: this, loopDelta: loopDelta\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tthis.time = time;\n\n\t\t\t}\n\n\t\t\tif ( pingPong && ( loopCount & 1 ) === 1 ) {\n\n\t\t\t\t// invert time for the \"pong round\"\n\n\t\t\t\treturn duration - time;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn time;\n\n\t}\n\n\t_setEndings( atStart, atEnd, pingPong ) {\n\n\t\tconst settings = this._interpolantSettings;\n\n\t\tif ( pingPong ) {\n\n\t\t\tsettings.endingStart = ZeroSlopeEnding;\n\t\t\tsettings.endingEnd = ZeroSlopeEnding;\n\n\t\t} else {\n\n\t\t\t// assuming for LoopOnce atStart == atEnd == true\n\n\t\t\tif ( atStart ) {\n\n\t\t\t\tsettings.endingStart = this.zeroSlopeAtStart ? ZeroSlopeEnding : ZeroCurvatureEnding;\n\n\t\t\t} else {\n\n\t\t\t\tsettings.endingStart = WrapAroundEnding;\n\n\t\t\t}\n\n\t\t\tif ( atEnd ) {\n\n\t\t\t\tsettings.endingEnd = this.zeroSlopeAtEnd ? ZeroSlopeEnding : ZeroCurvatureEnding;\n\n\t\t\t} else {\n\n\t\t\t\tsettings.endingEnd \t = WrapAroundEnding;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_scheduleFading( duration, weightNow, weightThen ) {\n\n\t\tconst mixer = this._mixer, now = mixer.time;\n\t\tlet interpolant = this._weightInterpolant;\n\n\t\tif ( interpolant === null ) {\n\n\t\t\tinterpolant = mixer._lendControlInterpolant();\n\t\t\tthis._weightInterpolant = interpolant;\n\n\t\t}\n\n\t\tconst times = interpolant.parameterPositions,\n\t\t\tvalues = interpolant.sampleValues;\n\n\t\ttimes[ 0 ] = now;\n\t\tvalues[ 0 ] = weightNow;\n\t\ttimes[ 1 ] = now + duration;\n\t\tvalues[ 1 ] = weightThen;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _controlInterpolantsResultBuffer = new Float32Array( 1 );\n\n\nclass AnimationMixer extends EventDispatcher {\n\n\tconstructor( root ) {\n\n\t\tsuper();\n\n\t\tthis._root = root;\n\t\tthis._initMemoryManager();\n\t\tthis._accuIndex = 0;\n\t\tthis.time = 0;\n\t\tthis.timeScale = 1.0;\n\n\t}\n\n\t_bindAction( action, prototypeAction ) {\n\n\t\tconst root = action._localRoot || this._root,\n\t\t\ttracks = action._clip.tracks,\n\t\t\tnTracks = tracks.length,\n\t\t\tbindings = action._propertyBindings,\n\t\t\tinterpolants = action._interpolants,\n\t\t\trootUuid = root.uuid,\n\t\t\tbindingsByRoot = this._bindingsByRootAndName;\n\n\t\tlet bindingsByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingsByName === undefined ) {\n\n\t\t\tbindingsByName = {};\n\t\t\tbindingsByRoot[ rootUuid ] = bindingsByName;\n\n\t\t}\n\n\t\tfor ( let i = 0; i !== nTracks; ++ i ) {\n\n\t\t\tconst track = tracks[ i ],\n\t\t\t\ttrackName = track.name;\n\n\t\t\tlet binding = bindingsByName[ trackName ];\n\n\t\t\tif ( binding !== undefined ) {\n\n\t\t\t\t++ binding.referenceCount;\n\t\t\t\tbindings[ i ] = binding;\n\n\t\t\t} else {\n\n\t\t\t\tbinding = bindings[ i ];\n\n\t\t\t\tif ( binding !== undefined ) {\n\n\t\t\t\t\t// existing binding, make sure the cache knows\n\n\t\t\t\t\tif ( binding._cacheIndex === null ) {\n\n\t\t\t\t\t\t++ binding.referenceCount;\n\t\t\t\t\t\tthis._addInactiveBinding( binding, rootUuid, trackName );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcontinue;\n\n\t\t\t\t}\n\n\t\t\t\tconst path = prototypeAction && prototypeAction.\n\t\t\t\t\t_propertyBindings[ i ].binding.parsedPath;\n\n\t\t\t\tbinding = new PropertyMixer(\n\t\t\t\t\tPropertyBinding.create( root, trackName, path ),\n\t\t\t\t\ttrack.ValueTypeName, track.getValueSize() );\n\n\t\t\t\t++ binding.referenceCount;\n\t\t\t\tthis._addInactiveBinding( binding, rootUuid, trackName );\n\n\t\t\t\tbindings[ i ] = binding;\n\n\t\t\t}\n\n\t\t\tinterpolants[ i ].resultBuffer = binding.buffer;\n\n\t\t}\n\n\t}\n\n\t_activateAction( action ) {\n\n\t\tif ( ! this._isActiveAction( action ) ) {\n\n\t\t\tif ( action._cacheIndex === null ) {\n\n\t\t\t\t// this action has been forgotten by the cache, but the user\n\t\t\t\t// appears to be still using it -> rebind\n\n\t\t\t\tconst rootUuid = ( action._localRoot || this._root ).uuid,\n\t\t\t\t\tclipUuid = action._clip.uuid,\n\t\t\t\t\tactionsForClip = this._actionsByClip[ clipUuid ];\n\n\t\t\t\tthis._bindAction( action,\n\t\t\t\t\tactionsForClip && actionsForClip.knownActions[ 0 ] );\n\n\t\t\t\tthis._addInactiveAction( action, clipUuid, rootUuid );\n\n\t\t\t}\n\n\t\t\tconst bindings = action._propertyBindings;\n\n\t\t\t// increment reference counts / sort out state\n\t\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\t\tconst binding = bindings[ i ];\n\n\t\t\t\tif ( binding.useCount ++ === 0 ) {\n\n\t\t\t\t\tthis._lendBinding( binding );\n\t\t\t\t\tbinding.saveOriginalState();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._lendAction( action );\n\n\t\t}\n\n\t}\n\n\t_deactivateAction( action ) {\n\n\t\tif ( this._isActiveAction( action ) ) {\n\n\t\t\tconst bindings = action._propertyBindings;\n\n\t\t\t// decrement reference counts / sort out state\n\t\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\t\tconst binding = bindings[ i ];\n\n\t\t\t\tif ( -- binding.useCount === 0 ) {\n\n\t\t\t\t\tbinding.restoreOriginalState();\n\t\t\t\t\tthis._takeBackBinding( binding );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._takeBackAction( action );\n\n\t\t}\n\n\t}\n\n\t// Memory manager\n\n\t_initMemoryManager() {\n\n\t\tthis._actions = []; // 'nActiveActions' followed by inactive ones\n\t\tthis._nActiveActions = 0;\n\n\t\tthis._actionsByClip = {};\n\t\t// inside:\n\t\t// {\n\t\t// \tknownActions: Array< AnimationAction > - used as prototypes\n\t\t// \tactionByRoot: AnimationAction - lookup\n\t\t// }\n\n\n\t\tthis._bindings = []; // 'nActiveBindings' followed by inactive ones\n\t\tthis._nActiveBindings = 0;\n\n\t\tthis._bindingsByRootAndName = {}; // inside: Map< name, PropertyMixer >\n\n\n\t\tthis._controlInterpolants = []; // same game as above\n\t\tthis._nActiveControlInterpolants = 0;\n\n\t\tconst scope = this;\n\n\t\tthis.stats = {\n\n\t\t\tactions: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._actions.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveActions;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tbindings: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._bindings.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveBindings;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tcontrolInterpolants: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._controlInterpolants.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveControlInterpolants;\n\n\t\t\t\t}\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\t// Memory management for AnimationAction objects\n\n\t_isActiveAction( action ) {\n\n\t\tconst index = action._cacheIndex;\n\t\treturn index !== null && index < this._nActiveActions;\n\n\t}\n\n\t_addInactiveAction( action, clipUuid, rootUuid ) {\n\n\t\tconst actions = this._actions,\n\t\t\tactionsByClip = this._actionsByClip;\n\n\t\tlet actionsForClip = actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip === undefined ) {\n\n\t\t\tactionsForClip = {\n\n\t\t\t\tknownActions: [ action ],\n\t\t\t\tactionByRoot: {}\n\n\t\t\t};\n\n\t\t\taction._byClipCacheIndex = 0;\n\n\t\t\tactionsByClip[ clipUuid ] = actionsForClip;\n\n\t\t} else {\n\n\t\t\tconst knownActions = actionsForClip.knownActions;\n\n\t\t\taction._byClipCacheIndex = knownActions.length;\n\t\t\tknownActions.push( action );\n\n\t\t}\n\n\t\taction._cacheIndex = actions.length;\n\t\tactions.push( action );\n\n\t\tactionsForClip.actionByRoot[ rootUuid ] = action;\n\n\t}\n\n\t_removeInactiveAction( action ) {\n\n\t\tconst actions = this._actions,\n\t\t\tlastInactiveAction = actions[ actions.length - 1 ],\n\t\t\tcacheIndex = action._cacheIndex;\n\n\t\tlastInactiveAction._cacheIndex = cacheIndex;\n\t\tactions[ cacheIndex ] = lastInactiveAction;\n\t\tactions.pop();\n\n\t\taction._cacheIndex = null;\n\n\n\t\tconst clipUuid = action._clip.uuid,\n\t\t\tactionsByClip = this._actionsByClip,\n\t\t\tactionsForClip = actionsByClip[ clipUuid ],\n\t\t\tknownActionsForClip = actionsForClip.knownActions,\n\n\t\t\tlastKnownAction =\n\t\t\t\tknownActionsForClip[ knownActionsForClip.length - 1 ],\n\n\t\t\tbyClipCacheIndex = action._byClipCacheIndex;\n\n\t\tlastKnownAction._byClipCacheIndex = byClipCacheIndex;\n\t\tknownActionsForClip[ byClipCacheIndex ] = lastKnownAction;\n\t\tknownActionsForClip.pop();\n\n\t\taction._byClipCacheIndex = null;\n\n\n\t\tconst actionByRoot = actionsForClip.actionByRoot,\n\t\t\trootUuid = ( action._localRoot || this._root ).uuid;\n\n\t\tdelete actionByRoot[ rootUuid ];\n\n\t\tif ( knownActionsForClip.length === 0 ) {\n\n\t\t\tdelete actionsByClip[ clipUuid ];\n\n\t\t}\n\n\t\tthis._removeInactiveBindingsForAction( action );\n\n\t}\n\n\t_removeInactiveBindingsForAction( action ) {\n\n\t\tconst bindings = action._propertyBindings;\n\n\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tconst binding = bindings[ i ];\n\n\t\t\tif ( -- binding.referenceCount === 0 ) {\n\n\t\t\t\tthis._removeInactiveBinding( binding );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_lendAction( action ) {\n\n\t\t// [ active actions | inactive actions ]\n\t\t// [ active actions >| inactive actions ]\n\t\t// s a\n\t\t// <-swap->\n\t\t// a s\n\n\t\tconst actions = this._actions,\n\t\t\tprevIndex = action._cacheIndex,\n\n\t\t\tlastActiveIndex = this._nActiveActions ++,\n\n\t\t\tfirstInactiveAction = actions[ lastActiveIndex ];\n\n\t\taction._cacheIndex = lastActiveIndex;\n\t\tactions[ lastActiveIndex ] = action;\n\n\t\tfirstInactiveAction._cacheIndex = prevIndex;\n\t\tactions[ prevIndex ] = firstInactiveAction;\n\n\t}\n\n\t_takeBackAction( action ) {\n\n\t\t// [ active actions | inactive actions ]\n\t\t// [ active actions |< inactive actions ]\n\t\t// a s\n\t\t// <-swap->\n\t\t// s a\n\n\t\tconst actions = this._actions,\n\t\t\tprevIndex = action._cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveActions,\n\n\t\t\tlastActiveAction = actions[ firstInactiveIndex ];\n\n\t\taction._cacheIndex = firstInactiveIndex;\n\t\tactions[ firstInactiveIndex ] = action;\n\n\t\tlastActiveAction._cacheIndex = prevIndex;\n\t\tactions[ prevIndex ] = lastActiveAction;\n\n\t}\n\n\t// Memory management for PropertyMixer objects\n\n\t_addInactiveBinding( binding, rootUuid, trackName ) {\n\n\t\tconst bindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindings = this._bindings;\n\n\t\tlet bindingByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingByName === undefined ) {\n\n\t\t\tbindingByName = {};\n\t\t\tbindingsByRoot[ rootUuid ] = bindingByName;\n\n\t\t}\n\n\t\tbindingByName[ trackName ] = binding;\n\n\t\tbinding._cacheIndex = bindings.length;\n\t\tbindings.push( binding );\n\n\t}\n\n\t_removeInactiveBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tpropBinding = binding.binding,\n\t\t\trootUuid = propBinding.rootNode.uuid,\n\t\t\ttrackName = propBinding.path,\n\t\t\tbindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindingByName = bindingsByRoot[ rootUuid ],\n\n\t\t\tlastInactiveBinding = bindings[ bindings.length - 1 ],\n\t\t\tcacheIndex = binding._cacheIndex;\n\n\t\tlastInactiveBinding._cacheIndex = cacheIndex;\n\t\tbindings[ cacheIndex ] = lastInactiveBinding;\n\t\tbindings.pop();\n\n\t\tdelete bindingByName[ trackName ];\n\n\t\tif ( Object.keys( bindingByName ).length === 0 ) {\n\n\t\t\tdelete bindingsByRoot[ rootUuid ];\n\n\t\t}\n\n\t}\n\n\t_lendBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tprevIndex = binding._cacheIndex,\n\n\t\t\tlastActiveIndex = this._nActiveBindings ++,\n\n\t\t\tfirstInactiveBinding = bindings[ lastActiveIndex ];\n\n\t\tbinding._cacheIndex = lastActiveIndex;\n\t\tbindings[ lastActiveIndex ] = binding;\n\n\t\tfirstInactiveBinding._cacheIndex = prevIndex;\n\t\tbindings[ prevIndex ] = firstInactiveBinding;\n\n\t}\n\n\t_takeBackBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tprevIndex = binding._cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveBindings,\n\n\t\t\tlastActiveBinding = bindings[ firstInactiveIndex ];\n\n\t\tbinding._cacheIndex = firstInactiveIndex;\n\t\tbindings[ firstInactiveIndex ] = binding;\n\n\t\tlastActiveBinding._cacheIndex = prevIndex;\n\t\tbindings[ prevIndex ] = lastActiveBinding;\n\n\t}\n\n\n\t// Memory management of Interpolants for weight and time scale\n\n\t_lendControlInterpolant() {\n\n\t\tconst interpolants = this._controlInterpolants,\n\t\t\tlastActiveIndex = this._nActiveControlInterpolants ++;\n\n\t\tlet interpolant = interpolants[ lastActiveIndex ];\n\n\t\tif ( interpolant === undefined ) {\n\n\t\t\tinterpolant = new LinearInterpolant(\n\t\t\t\tnew Float32Array( 2 ), new Float32Array( 2 ),\n\t\t\t\t1, _controlInterpolantsResultBuffer );\n\n\t\t\tinterpolant.__cacheIndex = lastActiveIndex;\n\t\t\tinterpolants[ lastActiveIndex ] = interpolant;\n\n\t\t}\n\n\t\treturn interpolant;\n\n\t}\n\n\t_takeBackControlInterpolant( interpolant ) {\n\n\t\tconst interpolants = this._controlInterpolants,\n\t\t\tprevIndex = interpolant.__cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveControlInterpolants,\n\n\t\t\tlastActiveInterpolant = interpolants[ firstInactiveIndex ];\n\n\t\tinterpolant.__cacheIndex = firstInactiveIndex;\n\t\tinterpolants[ firstInactiveIndex ] = interpolant;\n\n\t\tlastActiveInterpolant.__cacheIndex = prevIndex;\n\t\tinterpolants[ prevIndex ] = lastActiveInterpolant;\n\n\t}\n\n\t// return an action for a clip optionally using a custom root target\n\t// object (this method allocates a lot of dynamic memory in case a\n\t// previously unknown clip/root combination is specified)\n\tclipAction( clip, optionalRoot, blendMode ) {\n\n\t\tconst root = optionalRoot || this._root,\n\t\t\trootUuid = root.uuid;\n\n\t\tlet clipObject = typeof clip === 'string' ? AnimationClip.findByName( root, clip ) : clip;\n\n\t\tconst clipUuid = clipObject !== null ? clipObject.uuid : clip;\n\n\t\tconst actionsForClip = this._actionsByClip[ clipUuid ];\n\t\tlet prototypeAction = null;\n\n\t\tif ( blendMode === undefined ) {\n\n\t\t\tif ( clipObject !== null ) {\n\n\t\t\t\tblendMode = clipObject.blendMode;\n\n\t\t\t} else {\n\n\t\t\t\tblendMode = NormalAnimationBlendMode;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\tconst existingAction = actionsForClip.actionByRoot[ rootUuid ];\n\n\t\t\tif ( existingAction !== undefined && existingAction.blendMode === blendMode ) {\n\n\t\t\t\treturn existingAction;\n\n\t\t\t}\n\n\t\t\t// we know the clip, so we don't have to parse all\n\t\t\t// the bindings again but can just copy\n\t\t\tprototypeAction = actionsForClip.knownActions[ 0 ];\n\n\t\t\t// also, take the clip from the prototype action\n\t\t\tif ( clipObject === null )\n\t\t\t\tclipObject = prototypeAction._clip;\n\n\t\t}\n\n\t\t// clip must be known when specified via string\n\t\tif ( clipObject === null ) return null;\n\n\t\t// allocate all resources required to run it\n\t\tconst newAction = new AnimationAction( this, clipObject, optionalRoot, blendMode );\n\n\t\tthis._bindAction( newAction, prototypeAction );\n\n\t\t// and make the action known to the memory manager\n\t\tthis._addInactiveAction( newAction, clipUuid, rootUuid );\n\n\t\treturn newAction;\n\n\t}\n\n\t// get an existing action\n\texistingAction( clip, optionalRoot ) {\n\n\t\tconst root = optionalRoot || this._root,\n\t\t\trootUuid = root.uuid,\n\n\t\t\tclipObject = typeof clip === 'string' ?\n\t\t\t\tAnimationClip.findByName( root, clip ) : clip,\n\n\t\t\tclipUuid = clipObject ? clipObject.uuid : clip,\n\n\t\t\tactionsForClip = this._actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\treturn actionsForClip.actionByRoot[ rootUuid ] || null;\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\t// deactivates all previously scheduled actions\n\tstopAllAction() {\n\n\t\tconst actions = this._actions,\n\t\t\tnActions = this._nActiveActions;\n\n\t\tfor ( let i = nActions - 1; i >= 0; -- i ) {\n\n\t\t\tactions[ i ].stop();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// advance the time and update apply the animation\n\tupdate( deltaTime ) {\n\n\t\tdeltaTime *= this.timeScale;\n\n\t\tconst actions = this._actions,\n\t\t\tnActions = this._nActiveActions,\n\n\t\t\ttime = this.time += deltaTime,\n\t\t\ttimeDirection = Math.sign( deltaTime ),\n\n\t\t\taccuIndex = this._accuIndex ^= 1;\n\n\t\t// run active actions\n\n\t\tfor ( let i = 0; i !== nActions; ++ i ) {\n\n\t\t\tconst action = actions[ i ];\n\n\t\t\taction._update( time, deltaTime, timeDirection, accuIndex );\n\n\t\t}\n\n\t\t// update scene graph\n\n\t\tconst bindings = this._bindings,\n\t\t\tnBindings = this._nActiveBindings;\n\n\t\tfor ( let i = 0; i !== nBindings; ++ i ) {\n\n\t\t\tbindings[ i ].apply( accuIndex );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Allows you to seek to a specific time in an animation.\n\tsetTime( timeInSeconds ) {\n\n\t\tthis.time = 0; // Zero out time attribute for AnimationMixer object;\n\t\tfor ( let i = 0; i < this._actions.length; i ++ ) {\n\n\t\t\tthis._actions[ i ].time = 0; // Zero out time attribute for all associated AnimationAction objects.\n\n\t\t}\n\n\t\treturn this.update( timeInSeconds ); // Update used to set exact time. Returns \"this\" AnimationMixer object.\n\n\t}\n\n\t// return this mixer's root target object\n\tgetRoot() {\n\n\t\treturn this._root;\n\n\t}\n\n\t// free all resources specific to a particular clip\n\tuncacheClip( clip ) {\n\n\t\tconst actions = this._actions,\n\t\t\tclipUuid = clip.uuid,\n\t\t\tactionsByClip = this._actionsByClip,\n\t\t\tactionsForClip = actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\t// note: just calling _removeInactiveAction would mess up the\n\t\t\t// iteration state and also require updating the state we can\n\t\t\t// just throw away\n\n\t\t\tconst actionsToRemove = actionsForClip.knownActions;\n\n\t\t\tfor ( let i = 0, n = actionsToRemove.length; i !== n; ++ i ) {\n\n\t\t\t\tconst action = actionsToRemove[ i ];\n\n\t\t\t\tthis._deactivateAction( action );\n\n\t\t\t\tconst cacheIndex = action._cacheIndex,\n\t\t\t\t\tlastInactiveAction = actions[ actions.length - 1 ];\n\n\t\t\t\taction._cacheIndex = null;\n\t\t\t\taction._byClipCacheIndex = null;\n\n\t\t\t\tlastInactiveAction._cacheIndex = cacheIndex;\n\t\t\t\tactions[ cacheIndex ] = lastInactiveAction;\n\t\t\t\tactions.pop();\n\n\t\t\t\tthis._removeInactiveBindingsForAction( action );\n\n\t\t\t}\n\n\t\t\tdelete actionsByClip[ clipUuid ];\n\n\t\t}\n\n\t}\n\n\t// free all resources specific to a particular root target object\n\tuncacheRoot( root ) {\n\n\t\tconst rootUuid = root.uuid,\n\t\t\tactionsByClip = this._actionsByClip;\n\n\t\tfor ( const clipUuid in actionsByClip ) {\n\n\t\t\tconst actionByRoot = actionsByClip[ clipUuid ].actionByRoot,\n\t\t\t\taction = actionByRoot[ rootUuid ];\n\n\t\t\tif ( action !== undefined ) {\n\n\t\t\t\tthis._deactivateAction( action );\n\t\t\t\tthis._removeInactiveAction( action );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst bindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindingByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingByName !== undefined ) {\n\n\t\t\tfor ( const trackName in bindingByName ) {\n\n\t\t\t\tconst binding = bindingByName[ trackName ];\n\t\t\t\tbinding.restoreOriginalState();\n\t\t\t\tthis._removeInactiveBinding( binding );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t// remove a targeted clip from the cache\n\tuncacheAction( clip, optionalRoot ) {\n\n\t\tconst action = this.existingAction( clip, optionalRoot );\n\n\t\tif ( action !== null ) {\n\n\t\t\tthis._deactivateAction( action );\n\t\t\tthis._removeInactiveAction( action );\n\n\t\t}\n\n\t}\n\n}\n\nclass Uniform {\n\n\tconstructor( value ) {\n\n\t\tthis.value = value;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Uniform( this.value.clone === undefined ? this.value : this.value.clone() );\n\n\t}\n\n}\n\nlet _id = 0;\n\nclass UniformsGroup extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isUniformsGroup = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _id ++ } );\n\n\t\tthis.name = '';\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis.uniforms = [];\n\n\t}\n\n\tadd( uniform ) {\n\n\t\tthis.uniforms.push( uniform );\n\n\t\treturn this;\n\n\t}\n\n\tremove( uniform ) {\n\n\t\tconst index = this.uniforms.indexOf( uniform );\n\n\t\tif ( index !== - 1 ) this.uniforms.splice( index, 1 );\n\n\t\treturn this;\n\n\t}\n\n\tsetName( name ) {\n\n\t\tthis.name = name;\n\n\t\treturn this;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\t\tthis.usage = source.usage;\n\n\t\tconst uniformsSource = source.uniforms;\n\n\t\tthis.uniforms.length = 0;\n\n\t\tfor ( let i = 0, l = uniformsSource.length; i < l; i ++ ) {\n\n\t\t\tconst uniforms = Array.isArray( uniformsSource[ i ] ) ? uniformsSource[ i ] : [ uniformsSource[ i ] ];\n\n\t\t\tfor ( let j = 0; j < uniforms.length; j ++ ) {\n\n\t\t\t\tthis.uniforms.push( uniforms[ j ].clone() );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass InstancedInterleavedBuffer extends InterleavedBuffer {\n\n\tconstructor( array, stride, meshPerAttribute = 1 ) {\n\n\t\tsuper( array, stride );\n\n\t\tthis.isInstancedInterleavedBuffer = true;\n\n\t\tthis.meshPerAttribute = meshPerAttribute;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.meshPerAttribute = source.meshPerAttribute;\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tconst ib = super.clone( data );\n\n\t\tib.meshPerAttribute = this.meshPerAttribute;\n\n\t\treturn ib;\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tconst json = super.toJSON( data );\n\n\t\tjson.isInstancedInterleavedBuffer = true;\n\t\tjson.meshPerAttribute = this.meshPerAttribute;\n\n\t\treturn json;\n\n\t}\n\n}\n\nclass GLBufferAttribute {\n\n\tconstructor( buffer, type, itemSize, elementSize, count ) {\n\n\t\tthis.isGLBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.buffer = buffer;\n\t\tthis.type = type;\n\t\tthis.itemSize = itemSize;\n\t\tthis.elementSize = elementSize;\n\t\tthis.count = count;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tsetBuffer( buffer ) {\n\n\t\tthis.buffer = buffer;\n\n\t\treturn this;\n\n\t}\n\n\tsetType( type, elementSize ) {\n\n\t\tthis.type = type;\n\t\tthis.elementSize = elementSize;\n\n\t\treturn this;\n\n\t}\n\n\tsetItemSize( itemSize ) {\n\n\t\tthis.itemSize = itemSize;\n\n\t\treturn this;\n\n\t}\n\n\tsetCount( count ) {\n\n\t\tthis.count = count;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Raycaster {\n\n\tconstructor( origin, direction, near = 0, far = Infinity ) {\n\n\t\tthis.ray = new Ray( origin, direction );\n\t\t// direction is assumed to be normalized (for accurate distance calculations)\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\t\tthis.camera = null;\n\t\tthis.layers = new Layers();\n\n\t\tthis.params = {\n\t\t\tMesh: {},\n\t\t\tLine: { threshold: 1 },\n\t\t\tLOD: {},\n\t\t\tPoints: { threshold: 1 },\n\t\t\tSprite: {}\n\t\t};\n\n\t}\n\n\tset( origin, direction ) {\n\n\t\t// direction is assumed to be normalized (for accurate distance calculations)\n\n\t\tthis.ray.set( origin, direction );\n\n\t}\n\n\tsetFromCamera( coords, camera ) {\n\n\t\tif ( camera.isPerspectiveCamera ) {\n\n\t\t\tthis.ray.origin.setFromMatrixPosition( camera.matrixWorld );\n\t\t\tthis.ray.direction.set( coords.x, coords.y, 0.5 ).unproject( camera ).sub( this.ray.origin ).normalize();\n\t\t\tthis.camera = camera;\n\n\t\t} else if ( camera.isOrthographicCamera ) {\n\n\t\t\tthis.ray.origin.set( coords.x, coords.y, ( camera.near + camera.far ) / ( camera.near - camera.far ) ).unproject( camera ); // set origin in plane of camera\n\t\t\tthis.ray.direction.set( 0, 0, - 1 ).transformDirection( camera.matrixWorld );\n\t\t\tthis.camera = camera;\n\n\t\t} else {\n\n\t\t\tconsole.error( 'THREE.Raycaster: Unsupported camera type: ' + camera.type );\n\n\t\t}\n\n\t}\n\n\tintersectObject( object, recursive = true, intersects = [] ) {\n\n\t\tintersectObject( object, this, intersects, recursive );\n\n\t\tintersects.sort( ascSort );\n\n\t\treturn intersects;\n\n\t}\n\n\tintersectObjects( objects, recursive = true, intersects = [] ) {\n\n\t\tfor ( let i = 0, l = objects.length; i < l; i ++ ) {\n\n\t\t\tintersectObject( objects[ i ], this, intersects, recursive );\n\n\t\t}\n\n\t\tintersects.sort( ascSort );\n\n\t\treturn intersects;\n\n\t}\n\n}\n\nfunction ascSort( a, b ) {\n\n\treturn a.distance - b.distance;\n\n}\n\nfunction intersectObject( object, raycaster, intersects, recursive ) {\n\n\tif ( object.layers.test( raycaster.layers ) ) {\n\n\t\tobject.raycast( raycaster, intersects );\n\n\t}\n\n\tif ( recursive === true ) {\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tintersectObject( children[ i ], raycaster, intersects, true );\n\n\t\t}\n\n\t}\n\n}\n\n/**\n * Ref: https://en.wikipedia.org/wiki/Spherical_coordinate_system\n *\n * The polar angle (phi) is measured from the positive y-axis. The positive y-axis is up.\n * The azimuthal angle (theta) is measured from the positive z-axis.\n */\n\n\nclass Spherical {\n\n\tconstructor( radius = 1, phi = 0, theta = 0 ) {\n\n\t\tthis.radius = radius;\n\t\tthis.phi = phi; // polar angle\n\t\tthis.theta = theta; // azimuthal angle\n\n\t\treturn this;\n\n\t}\n\n\tset( radius, phi, theta ) {\n\n\t\tthis.radius = radius;\n\t\tthis.phi = phi;\n\t\tthis.theta = theta;\n\n\t\treturn this;\n\n\t}\n\n\tcopy( other ) {\n\n\t\tthis.radius = other.radius;\n\t\tthis.phi = other.phi;\n\t\tthis.theta = other.theta;\n\n\t\treturn this;\n\n\t}\n\n\t// restrict phi to be between EPS and PI-EPS\n\tmakeSafe() {\n\n\t\tconst EPS = 0.000001;\n\t\tthis.phi = Math.max( EPS, Math.min( Math.PI - EPS, this.phi ) );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\treturn this.setFromCartesianCoords( v.x, v.y, v.z );\n\n\t}\n\n\tsetFromCartesianCoords( x, y, z ) {\n\n\t\tthis.radius = Math.sqrt( x * x + y * y + z * z );\n\n\t\tif ( this.radius === 0 ) {\n\n\t\t\tthis.theta = 0;\n\t\t\tthis.phi = 0;\n\n\t\t} else {\n\n\t\t\tthis.theta = Math.atan2( x, z );\n\t\t\tthis.phi = Math.acos( clamp( y / this.radius, - 1, 1 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\n/**\n * Ref: https://en.wikipedia.org/wiki/Cylindrical_coordinate_system\n */\n\nclass Cylindrical {\n\n\tconstructor( radius = 1, theta = 0, y = 0 ) {\n\n\t\tthis.radius = radius; // distance from the origin to a point in the x-z plane\n\t\tthis.theta = theta; // counterclockwise angle in the x-z plane measured in radians from the positive z-axis\n\t\tthis.y = y; // height above the x-z plane\n\n\t\treturn this;\n\n\t}\n\n\tset( radius, theta, y ) {\n\n\t\tthis.radius = radius;\n\t\tthis.theta = theta;\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tcopy( other ) {\n\n\t\tthis.radius = other.radius;\n\t\tthis.theta = other.theta;\n\t\tthis.y = other.y;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\treturn this.setFromCartesianCoords( v.x, v.y, v.z );\n\n\t}\n\n\tsetFromCartesianCoords( x, y, z ) {\n\n\t\tthis.radius = Math.sqrt( x * x + z * z );\n\t\tthis.theta = Math.atan2( x, z );\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$4 = /*@__PURE__*/ new Vector2();\n\nclass Box2 {\n\n\tconstructor( min = new Vector2( + Infinity, + Infinity ), max = new Vector2( - Infinity, - Infinity ) ) {\n\n\t\tthis.isBox2 = true;\n\n\t\tthis.min = min;\n\t\tthis.max = max;\n\n\t}\n\n\tset( min, max ) {\n\n\t\tthis.min.copy( min );\n\t\tthis.max.copy( max );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( points[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCenterAndSize( center, size ) {\n\n\t\tconst halfSize = _vector$4.copy( size ).multiplyScalar( 0.5 );\n\t\tthis.min.copy( center ).sub( halfSize );\n\t\tthis.max.copy( center ).add( halfSize );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( box ) {\n\n\t\tthis.min.copy( box.min );\n\t\tthis.max.copy( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.min.x = this.min.y = + Infinity;\n\t\tthis.max.x = this.max.y = - Infinity;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\t// this is a more robust check for empty than ( volume <= 0 ) because volume can get positive with two negative axes\n\n\t\treturn ( this.max.x < this.min.x ) || ( this.max.y < this.min.y );\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0 ) : target.addVectors( this.min, this.max ).multiplyScalar( 0.5 );\n\n\t}\n\n\tgetSize( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0 ) : target.subVectors( this.max, this.min );\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tthis.min.min( point );\n\t\tthis.max.max( point );\n\n\t\treturn this;\n\n\t}\n\n\texpandByVector( vector ) {\n\n\t\tthis.min.sub( vector );\n\t\tthis.max.add( vector );\n\n\t\treturn this;\n\n\t}\n\n\texpandByScalar( scalar ) {\n\n\t\tthis.min.addScalar( - scalar );\n\t\tthis.max.addScalar( scalar );\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn point.x < this.min.x || point.x > this.max.x ||\n\t\t\tpoint.y < this.min.y || point.y > this.max.y ? false : true;\n\n\t}\n\n\tcontainsBox( box ) {\n\n\t\treturn this.min.x <= box.min.x && box.max.x <= this.max.x &&\n\t\t\tthis.min.y <= box.min.y && box.max.y <= this.max.y;\n\n\t}\n\n\tgetParameter( point, target ) {\n\n\t\t// This can potentially have a divide by zero if the box\n\t\t// has a size dimension of 0.\n\n\t\treturn target.set(\n\t\t\t( point.x - this.min.x ) / ( this.max.x - this.min.x ),\n\t\t\t( point.y - this.min.y ) / ( this.max.y - this.min.y )\n\t\t);\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\t// using 4 splitting planes to rule out intersections\n\n\t\treturn box.max.x < this.min.x || box.min.x > this.max.x ||\n\t\t\tbox.max.y < this.min.y || box.min.y > this.max.y ? false : true;\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\treturn target.copy( point ).clamp( this.min, this.max );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.clampPoint( point, _vector$4 ).distanceTo( point );\n\n\t}\n\n\tintersect( box ) {\n\n\t\tthis.min.max( box.min );\n\t\tthis.max.min( box.max );\n\n\t\tif ( this.isEmpty() ) this.makeEmpty();\n\n\t\treturn this;\n\n\t}\n\n\tunion( box ) {\n\n\t\tthis.min.min( box.min );\n\t\tthis.max.max( box.max );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.min.add( offset );\n\t\tthis.max.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\tequals( box ) {\n\n\t\treturn box.min.equals( this.min ) && box.max.equals( this.max );\n\n\t}\n\n}\n\nconst _startP = /*@__PURE__*/ new Vector3();\nconst _startEnd = /*@__PURE__*/ new Vector3();\n\nclass Line3 {\n\n\tconstructor( start = new Vector3(), end = new Vector3() ) {\n\n\t\tthis.start = start;\n\t\tthis.end = end;\n\n\t}\n\n\tset( start, end ) {\n\n\t\tthis.start.copy( start );\n\t\tthis.end.copy( end );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( line ) {\n\n\t\tthis.start.copy( line.start );\n\t\tthis.end.copy( line.end );\n\n\t\treturn this;\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn target.addVectors( this.start, this.end ).multiplyScalar( 0.5 );\n\n\t}\n\n\tdelta( target ) {\n\n\t\treturn target.subVectors( this.end, this.start );\n\n\t}\n\n\tdistanceSq() {\n\n\t\treturn this.start.distanceToSquared( this.end );\n\n\t}\n\n\tdistance() {\n\n\t\treturn this.start.distanceTo( this.end );\n\n\t}\n\n\tat( t, target ) {\n\n\t\treturn this.delta( target ).multiplyScalar( t ).add( this.start );\n\n\t}\n\n\tclosestPointToPointParameter( point, clampToLine ) {\n\n\t\t_startP.subVectors( point, this.start );\n\t\t_startEnd.subVectors( this.end, this.start );\n\n\t\tconst startEnd2 = _startEnd.dot( _startEnd );\n\t\tconst startEnd_startP = _startEnd.dot( _startP );\n\n\t\tlet t = startEnd_startP / startEnd2;\n\n\t\tif ( clampToLine ) {\n\n\t\t\tt = clamp( t, 0, 1 );\n\n\t\t}\n\n\t\treturn t;\n\n\t}\n\n\tclosestPointToPoint( point, clampToLine, target ) {\n\n\t\tconst t = this.closestPointToPointParameter( point, clampToLine );\n\n\t\treturn this.delta( target ).multiplyScalar( t ).add( this.start );\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tthis.start.applyMatrix4( matrix );\n\t\tthis.end.applyMatrix4( matrix );\n\n\t\treturn this;\n\n\t}\n\n\tequals( line ) {\n\n\t\treturn line.start.equals( this.start ) && line.end.equals( this.end );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$3 = /*@__PURE__*/ new Vector3();\n\nclass SpotLightHelper extends Object3D {\n\n\tconstructor( light, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'SpotLightHelper';\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tconst positions = [\n\t\t\t0, 0, 0, \t0, 0, 1,\n\t\t\t0, 0, 0, \t1, 0, 1,\n\t\t\t0, 0, 0,\t- 1, 0, 1,\n\t\t\t0, 0, 0, \t0, 1, 1,\n\t\t\t0, 0, 0, \t0, - 1, 1\n\t\t];\n\n\t\tfor ( let i = 0, j = 1, l = 32; i < l; i ++, j ++ ) {\n\n\t\t\tconst p1 = ( i / l ) * Math.PI * 2;\n\t\t\tconst p2 = ( j / l ) * Math.PI * 2;\n\n\t\t\tpositions.push(\n\t\t\t\tMath.cos( p1 ), Math.sin( p1 ), 1,\n\t\t\t\tMath.cos( p2 ), Math.sin( p2 ), 1\n\t\t\t);\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { fog: false, toneMapped: false } );\n\n\t\tthis.cone = new LineSegments( geometry, material );\n\t\tthis.add( this.cone );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.cone.geometry.dispose();\n\t\tthis.cone.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\t\tthis.light.target.updateWorldMatrix( true, false );\n\n\t\tconst coneLength = this.light.distance ? this.light.distance : 1000;\n\t\tconst coneWidth = coneLength * Math.tan( this.light.angle );\n\n\t\tthis.cone.scale.set( coneWidth, coneWidth, coneLength );\n\n\t\t_vector$3.setFromMatrixPosition( this.light.target.matrixWorld );\n\n\t\tthis.cone.lookAt( _vector$3 );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.cone.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.cone.material.color.copy( this.light.color );\n\n\t\t}\n\n\t}\n\n}\n\nconst _vector$2 = /*@__PURE__*/ new Vector3();\nconst _boneMatrix = /*@__PURE__*/ new Matrix4();\nconst _matrixWorldInv = /*@__PURE__*/ new Matrix4();\n\n\nclass SkeletonHelper extends LineSegments {\n\n\tconstructor( object ) {\n\n\t\tconst bones = getBoneList( object );\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\tconst color1 = new Color( 0, 0, 1 );\n\t\tconst color2 = new Color( 0, 1, 0 );\n\n\t\tfor ( let i = 0; i < bones.length; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\n\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tcolors.push( color1.r, color1.g, color1.b );\n\t\t\t\tcolors.push( color2.r, color2.g, color2.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, depthTest: false, depthWrite: false, toneMapped: false, transparent: true } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isSkeletonHelper = true;\n\n\t\tthis.type = 'SkeletonHelper';\n\n\t\tthis.root = object;\n\t\tthis.bones = bones;\n\n\t\tthis.matrix = object.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tconst bones = this.bones;\n\n\t\tconst geometry = this.geometry;\n\t\tconst position = geometry.getAttribute( 'position' );\n\n\t\t_matrixWorldInv.copy( this.root.matrixWorld ).invert();\n\n\t\tfor ( let i = 0, j = 0; i < bones.length; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\n\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\t_boneMatrix.multiplyMatrices( _matrixWorldInv, bone.matrixWorld );\n\t\t\t\t_vector$2.setFromMatrixPosition( _boneMatrix );\n\t\t\t\tposition.setXYZ( j, _vector$2.x, _vector$2.y, _vector$2.z );\n\n\t\t\t\t_boneMatrix.multiplyMatrices( _matrixWorldInv, bone.parent.matrixWorld );\n\t\t\t\t_vector$2.setFromMatrixPosition( _boneMatrix );\n\t\t\t\tposition.setXYZ( j + 1, _vector$2.x, _vector$2.y, _vector$2.z );\n\n\t\t\t\tj += 2;\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.getAttribute( 'position' ).needsUpdate = true;\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\n\nfunction getBoneList( object ) {\n\n\tconst boneList = [];\n\n\tif ( object.isBone === true ) {\n\n\t\tboneList.push( object );\n\n\t}\n\n\tfor ( let i = 0; i < object.children.length; i ++ ) {\n\n\t\tboneList.push.apply( boneList, getBoneList( object.children[ i ] ) );\n\n\t}\n\n\treturn boneList;\n\n}\n\nclass PointLightHelper extends Mesh {\n\n\tconstructor( light, sphereSize, color ) {\n\n\t\tconst geometry = new SphereGeometry( sphereSize, 4, 2 );\n\t\tconst material = new MeshBasicMaterial( { wireframe: true, fog: false, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.light = light;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'PointLightHelper';\n\n\t\tthis.matrix = this.light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.update();\n\n\n\t\t/*\n\t// TODO: delete this comment?\n\tconst distanceGeometry = new THREE.IcosahedronGeometry( 1, 2 );\n\tconst distanceMaterial = new THREE.MeshBasicMaterial( { color: hexColor, fog: false, wireframe: true, opacity: 0.1, transparent: true } );\n\n\tthis.lightSphere = new THREE.Mesh( bulbGeometry, bulbMaterial );\n\tthis.lightDistance = new THREE.Mesh( distanceGeometry, distanceMaterial );\n\n\tconst d = light.distance;\n\n\tif ( d === 0.0 ) {\n\n\t\tthis.lightDistance.visible = false;\n\n\t} else {\n\n\t\tthis.lightDistance.scale.set( d, d, d );\n\n\t}\n\n\tthis.add( this.lightDistance );\n\t*/\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.material.color.copy( this.light.color );\n\n\t\t}\n\n\t\t/*\n\t\tconst d = this.light.distance;\n\n\t\tif ( d === 0.0 ) {\n\n\t\t\tthis.lightDistance.visible = false;\n\n\t\t} else {\n\n\t\t\tthis.lightDistance.visible = true;\n\t\t\tthis.lightDistance.scale.set( d, d, d );\n\n\t\t}\n\t\t*/\n\n\t}\n\n}\n\nconst _vector$1 = /*@__PURE__*/ new Vector3();\nconst _color1 = /*@__PURE__*/ new Color();\nconst _color2 = /*@__PURE__*/ new Color();\n\nclass HemisphereLightHelper extends Object3D {\n\n\tconstructor( light, size, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'HemisphereLightHelper';\n\n\t\tconst geometry = new OctahedronGeometry( size );\n\t\tgeometry.rotateY( Math.PI * 0.5 );\n\n\t\tthis.material = new MeshBasicMaterial( { wireframe: true, fog: false, toneMapped: false } );\n\t\tif ( this.color === undefined ) this.material.vertexColors = true;\n\n\t\tconst position = geometry.getAttribute( 'position' );\n\t\tconst colors = new Float32Array( position.count * 3 );\n\n\t\tgeometry.setAttribute( 'color', new BufferAttribute( colors, 3 ) );\n\n\t\tthis.add( new Mesh( geometry, this.material ) );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.children[ 0 ].geometry.dispose();\n\t\tthis.children[ 0 ].material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tconst mesh = this.children[ 0 ];\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tconst colors = mesh.geometry.getAttribute( 'color' );\n\n\t\t\t_color1.copy( this.light.color );\n\t\t\t_color2.copy( this.light.groundColor );\n\n\t\t\tfor ( let i = 0, l = colors.count; i < l; i ++ ) {\n\n\t\t\t\tconst color = ( i < ( l / 2 ) ) ? _color1 : _color2;\n\n\t\t\t\tcolors.setXYZ( i, color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t\tcolors.needsUpdate = true;\n\n\t\t}\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\n\t\tmesh.lookAt( _vector$1.setFromMatrixPosition( this.light.matrixWorld ).negate() );\n\n\t}\n\n}\n\nclass GridHelper extends LineSegments {\n\n\tconstructor( size = 10, divisions = 10, color1 = 0x444444, color2 = 0x888888 ) {\n\n\t\tcolor1 = new Color( color1 );\n\t\tcolor2 = new Color( color2 );\n\n\t\tconst center = divisions / 2;\n\t\tconst step = size / divisions;\n\t\tconst halfSize = size / 2;\n\n\t\tconst vertices = [], colors = [];\n\n\t\tfor ( let i = 0, j = 0, k = - halfSize; i <= divisions; i ++, k += step ) {\n\n\t\t\tvertices.push( - halfSize, 0, k, halfSize, 0, k );\n\t\t\tvertices.push( k, 0, - halfSize, k, 0, halfSize );\n\n\t\t\tconst color = i === center ? color1 : color2;\n\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\n\t\t}\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'GridHelper';\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass PolarGridHelper extends LineSegments {\n\n\tconstructor( radius = 10, sectors = 16, rings = 8, divisions = 64, color1 = 0x444444, color2 = 0x888888 ) {\n\n\t\tcolor1 = new Color( color1 );\n\t\tcolor2 = new Color( color2 );\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\t// create the sectors\n\n\t\tif ( sectors > 1 ) {\n\n\t\t\tfor ( let i = 0; i < sectors; i ++ ) {\n\n\t\t\t\tconst v = ( i / sectors ) * ( Math.PI * 2 );\n\n\t\t\t\tconst x = Math.sin( v ) * radius;\n\t\t\t\tconst z = Math.cos( v ) * radius;\n\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tvertices.push( x, 0, z );\n\n\t\t\t\tconst color = ( i & 1 ) ? color1 : color2;\n\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// create the rings\n\n\t\tfor ( let i = 0; i < rings; i ++ ) {\n\n\t\t\tconst color = ( i & 1 ) ? color1 : color2;\n\n\t\t\tconst r = radius - ( radius / rings * i );\n\n\t\t\tfor ( let j = 0; j < divisions; j ++ ) {\n\n\t\t\t\t// first vertex\n\n\t\t\t\tlet v = ( j / divisions ) * ( Math.PI * 2 );\n\n\t\t\t\tlet x = Math.sin( v ) * r;\n\t\t\t\tlet z = Math.cos( v ) * r;\n\n\t\t\t\tvertices.push( x, 0, z );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t\t// second vertex\n\n\t\t\t\tv = ( ( j + 1 ) / divisions ) * ( Math.PI * 2 );\n\n\t\t\t\tx = Math.sin( v ) * r;\n\t\t\t\tz = Math.cos( v ) * r;\n\n\t\t\t\tvertices.push( x, 0, z );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'PolarGridHelper';\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nconst _v1 = /*@__PURE__*/ new Vector3();\nconst _v2 = /*@__PURE__*/ new Vector3();\nconst _v3 = /*@__PURE__*/ new Vector3();\n\nclass DirectionalLightHelper extends Object3D {\n\n\tconstructor( light, size, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'DirectionalLightHelper';\n\n\t\tif ( size === undefined ) size = 1;\n\n\t\tlet geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( [\n\t\t\t- size, size, 0,\n\t\t\tsize, size, 0,\n\t\t\tsize, - size, 0,\n\t\t\t- size, - size, 0,\n\t\t\t- size, size, 0\n\t\t], 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { fog: false, toneMapped: false } );\n\n\t\tthis.lightPlane = new Line( geometry, material );\n\t\tthis.add( this.lightPlane );\n\n\t\tgeometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( [ 0, 0, 0, 0, 0, 1 ], 3 ) );\n\n\t\tthis.targetLine = new Line( geometry, material );\n\t\tthis.add( this.targetLine );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.lightPlane.geometry.dispose();\n\t\tthis.lightPlane.material.dispose();\n\t\tthis.targetLine.geometry.dispose();\n\t\tthis.targetLine.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\t\tthis.light.target.updateWorldMatrix( true, false );\n\n\t\t_v1.setFromMatrixPosition( this.light.matrixWorld );\n\t\t_v2.setFromMatrixPosition( this.light.target.matrixWorld );\n\t\t_v3.subVectors( _v2, _v1 );\n\n\t\tthis.lightPlane.lookAt( _v2 );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.lightPlane.material.color.set( this.color );\n\t\t\tthis.targetLine.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.lightPlane.material.color.copy( this.light.color );\n\t\t\tthis.targetLine.material.color.copy( this.light.color );\n\n\t\t}\n\n\t\tthis.targetLine.lookAt( _v2 );\n\t\tthis.targetLine.scale.z = _v3.length();\n\n\t}\n\n}\n\nconst _vector = /*@__PURE__*/ new Vector3();\nconst _camera = /*@__PURE__*/ new Camera();\n\n/**\n *\t- shows frustum, line of sight and up of the camera\n *\t- suitable for fast updates\n * \t- based on frustum visualization in lightgl.js shadowmap example\n *\t\thttps://github.com/evanw/lightgl.js/blob/master/tests/shadowmap.html\n */\n\nclass CameraHelper extends LineSegments {\n\n\tconstructor( camera ) {\n\n\t\tconst geometry = new BufferGeometry();\n\t\tconst material = new LineBasicMaterial( { color: 0xffffff, vertexColors: true, toneMapped: false } );\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\tconst pointMap = {};\n\n\t\t// near\n\n\t\taddLine( 'n1', 'n2' );\n\t\taddLine( 'n2', 'n4' );\n\t\taddLine( 'n4', 'n3' );\n\t\taddLine( 'n3', 'n1' );\n\n\t\t// far\n\n\t\taddLine( 'f1', 'f2' );\n\t\taddLine( 'f2', 'f4' );\n\t\taddLine( 'f4', 'f3' );\n\t\taddLine( 'f3', 'f1' );\n\n\t\t// sides\n\n\t\taddLine( 'n1', 'f1' );\n\t\taddLine( 'n2', 'f2' );\n\t\taddLine( 'n3', 'f3' );\n\t\taddLine( 'n4', 'f4' );\n\n\t\t// cone\n\n\t\taddLine( 'p', 'n1' );\n\t\taddLine( 'p', 'n2' );\n\t\taddLine( 'p', 'n3' );\n\t\taddLine( 'p', 'n4' );\n\n\t\t// up\n\n\t\taddLine( 'u1', 'u2' );\n\t\taddLine( 'u2', 'u3' );\n\t\taddLine( 'u3', 'u1' );\n\n\t\t// target\n\n\t\taddLine( 'c', 't' );\n\t\taddLine( 'p', 'c' );\n\n\t\t// cross\n\n\t\taddLine( 'cn1', 'cn2' );\n\t\taddLine( 'cn3', 'cn4' );\n\n\t\taddLine( 'cf1', 'cf2' );\n\t\taddLine( 'cf3', 'cf4' );\n\n\t\tfunction addLine( a, b ) {\n\n\t\t\taddPoint( a );\n\t\t\taddPoint( b );\n\n\t\t}\n\n\t\tfunction addPoint( id ) {\n\n\t\t\tvertices.push( 0, 0, 0 );\n\t\t\tcolors.push( 0, 0, 0 );\n\n\t\t\tif ( pointMap[ id ] === undefined ) {\n\n\t\t\t\tpointMap[ id ] = [];\n\n\t\t\t}\n\n\t\t\tpointMap[ id ].push( ( vertices.length / 3 ) - 1 );\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'CameraHelper';\n\n\t\tthis.camera = camera;\n\t\tif ( this.camera.updateProjectionMatrix ) this.camera.updateProjectionMatrix();\n\n\t\tthis.matrix = camera.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.pointMap = pointMap;\n\n\t\tthis.update();\n\n\t\t// colors\n\n\t\tconst colorFrustum = new Color( 0xffaa00 );\n\t\tconst colorCone = new Color( 0xff0000 );\n\t\tconst colorUp = new Color( 0x00aaff );\n\t\tconst colorTarget = new Color( 0xffffff );\n\t\tconst colorCross = new Color( 0x333333 );\n\n\t\tthis.setColors( colorFrustum, colorCone, colorUp, colorTarget, colorCross );\n\n\t}\n\n\tsetColors( frustum, cone, up, target, cross ) {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst colorAttribute = geometry.getAttribute( 'color' );\n\n\t\t// near\n\n\t\tcolorAttribute.setXYZ( 0, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 1, frustum.r, frustum.g, frustum.b ); // n1, n2\n\t\tcolorAttribute.setXYZ( 2, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 3, frustum.r, frustum.g, frustum.b ); // n2, n4\n\t\tcolorAttribute.setXYZ( 4, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 5, frustum.r, frustum.g, frustum.b ); // n4, n3\n\t\tcolorAttribute.setXYZ( 6, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 7, frustum.r, frustum.g, frustum.b ); // n3, n1\n\n\t\t// far\n\n\t\tcolorAttribute.setXYZ( 8, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 9, frustum.r, frustum.g, frustum.b ); // f1, f2\n\t\tcolorAttribute.setXYZ( 10, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 11, frustum.r, frustum.g, frustum.b ); // f2, f4\n\t\tcolorAttribute.setXYZ( 12, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 13, frustum.r, frustum.g, frustum.b ); // f4, f3\n\t\tcolorAttribute.setXYZ( 14, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 15, frustum.r, frustum.g, frustum.b ); // f3, f1\n\n\t\t// sides\n\n\t\tcolorAttribute.setXYZ( 16, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 17, frustum.r, frustum.g, frustum.b ); // n1, f1\n\t\tcolorAttribute.setXYZ( 18, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 19, frustum.r, frustum.g, frustum.b ); // n2, f2\n\t\tcolorAttribute.setXYZ( 20, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 21, frustum.r, frustum.g, frustum.b ); // n3, f3\n\t\tcolorAttribute.setXYZ( 22, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 23, frustum.r, frustum.g, frustum.b ); // n4, f4\n\n\t\t// cone\n\n\t\tcolorAttribute.setXYZ( 24, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 25, cone.r, cone.g, cone.b ); // p, n1\n\t\tcolorAttribute.setXYZ( 26, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 27, cone.r, cone.g, cone.b ); // p, n2\n\t\tcolorAttribute.setXYZ( 28, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 29, cone.r, cone.g, cone.b ); // p, n3\n\t\tcolorAttribute.setXYZ( 30, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 31, cone.r, cone.g, cone.b ); // p, n4\n\n\t\t// up\n\n\t\tcolorAttribute.setXYZ( 32, up.r, up.g, up.b ); colorAttribute.setXYZ( 33, up.r, up.g, up.b ); // u1, u2\n\t\tcolorAttribute.setXYZ( 34, up.r, up.g, up.b ); colorAttribute.setXYZ( 35, up.r, up.g, up.b ); // u2, u3\n\t\tcolorAttribute.setXYZ( 36, up.r, up.g, up.b ); colorAttribute.setXYZ( 37, up.r, up.g, up.b ); // u3, u1\n\n\t\t// target\n\n\t\tcolorAttribute.setXYZ( 38, target.r, target.g, target.b ); colorAttribute.setXYZ( 39, target.r, target.g, target.b ); // c, t\n\t\tcolorAttribute.setXYZ( 40, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 41, cross.r, cross.g, cross.b ); // p, c\n\n\t\t// cross\n\n\t\tcolorAttribute.setXYZ( 42, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 43, cross.r, cross.g, cross.b ); // cn1, cn2\n\t\tcolorAttribute.setXYZ( 44, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 45, cross.r, cross.g, cross.b ); // cn3, cn4\n\n\t\tcolorAttribute.setXYZ( 46, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 47, cross.r, cross.g, cross.b ); // cf1, cf2\n\t\tcolorAttribute.setXYZ( 48, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 49, cross.r, cross.g, cross.b ); // cf3, cf4\n\n\t\tcolorAttribute.needsUpdate = true;\n\n\t}\n\n\tupdate() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst pointMap = this.pointMap;\n\n\t\tconst w = 1, h = 1;\n\n\t\t// we need just camera projection matrix inverse\n\t\t// world matrix must be identity\n\n\t\t_camera.projectionMatrixInverse.copy( this.camera.projectionMatrixInverse );\n\n\t\t// center / target\n\n\t\tsetPoint( 'c', pointMap, geometry, _camera, 0, 0, - 1 );\n\t\tsetPoint( 't', pointMap, geometry, _camera, 0, 0, 1 );\n\n\t\t// near\n\n\t\tsetPoint( 'n1', pointMap, geometry, _camera, - w, - h, - 1 );\n\t\tsetPoint( 'n2', pointMap, geometry, _camera, w, - h, - 1 );\n\t\tsetPoint( 'n3', pointMap, geometry, _camera, - w, h, - 1 );\n\t\tsetPoint( 'n4', pointMap, geometry, _camera, w, h, - 1 );\n\n\t\t// far\n\n\t\tsetPoint( 'f1', pointMap, geometry, _camera, - w, - h, 1 );\n\t\tsetPoint( 'f2', pointMap, geometry, _camera, w, - h, 1 );\n\t\tsetPoint( 'f3', pointMap, geometry, _camera, - w, h, 1 );\n\t\tsetPoint( 'f4', pointMap, geometry, _camera, w, h, 1 );\n\n\t\t// up\n\n\t\tsetPoint( 'u1', pointMap, geometry, _camera, w * 0.7, h * 1.1, - 1 );\n\t\tsetPoint( 'u2', pointMap, geometry, _camera, - w * 0.7, h * 1.1, - 1 );\n\t\tsetPoint( 'u3', pointMap, geometry, _camera, 0, h * 2, - 1 );\n\n\t\t// cross\n\n\t\tsetPoint( 'cf1', pointMap, geometry, _camera, - w, 0, 1 );\n\t\tsetPoint( 'cf2', pointMap, geometry, _camera, w, 0, 1 );\n\t\tsetPoint( 'cf3', pointMap, geometry, _camera, 0, - h, 1 );\n\t\tsetPoint( 'cf4', pointMap, geometry, _camera, 0, h, 1 );\n\n\t\tsetPoint( 'cn1', pointMap, geometry, _camera, - w, 0, - 1 );\n\t\tsetPoint( 'cn2', pointMap, geometry, _camera, w, 0, - 1 );\n\t\tsetPoint( 'cn3', pointMap, geometry, _camera, 0, - h, - 1 );\n\t\tsetPoint( 'cn4', pointMap, geometry, _camera, 0, h, - 1 );\n\n\t\tgeometry.getAttribute( 'position' ).needsUpdate = true;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\n\nfunction setPoint( point, pointMap, geometry, camera, x, y, z ) {\n\n\t_vector.set( x, y, z ).unproject( camera );\n\n\tconst points = pointMap[ point ];\n\n\tif ( points !== undefined ) {\n\n\t\tconst position = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0, l = points.length; i < l; i ++ ) {\n\n\t\t\tposition.setXYZ( points[ i ], _vector.x, _vector.y, _vector.z );\n\n\t\t}\n\n\t}\n\n}\n\nconst _box = /*@__PURE__*/ new Box3();\n\nclass BoxHelper extends LineSegments {\n\n\tconstructor( object, color = 0xffff00 ) {\n\n\t\tconst indices = new Uint16Array( [ 0, 1, 1, 2, 2, 3, 3, 0, 4, 5, 5, 6, 6, 7, 7, 4, 0, 4, 1, 5, 2, 6, 3, 7 ] );\n\t\tconst positions = new Float32Array( 8 * 3 );\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setIndex( new BufferAttribute( indices, 1 ) );\n\t\tgeometry.setAttribute( 'position', new BufferAttribute( positions, 3 ) );\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.object = object;\n\t\tthis.type = 'BoxHelper';\n\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.update();\n\n\t}\n\n\tupdate( object ) {\n\n\t\tif ( object !== undefined ) {\n\n\t\t\tconsole.warn( 'THREE.BoxHelper: .update() has no longer arguments.' );\n\n\t\t}\n\n\t\tif ( this.object !== undefined ) {\n\n\t\t\t_box.setFromObject( this.object );\n\n\t\t}\n\n\t\tif ( _box.isEmpty() ) return;\n\n\t\tconst min = _box.min;\n\t\tconst max = _box.max;\n\n\t\t/*\n\t\t\t5____4\n\t\t1/___0/|\n\t\t| 6__|_7\n\t\t2/___3/\n\n\t\t0: max.x, max.y, max.z\n\t\t1: min.x, max.y, max.z\n\t\t2: min.x, min.y, max.z\n\t\t3: max.x, min.y, max.z\n\t\t4: max.x, max.y, min.z\n\t\t5: min.x, max.y, min.z\n\t\t6: min.x, min.y, min.z\n\t\t7: max.x, min.y, min.z\n\t\t*/\n\n\t\tconst position = this.geometry.attributes.position;\n\t\tconst array = position.array;\n\n\t\tarray[ 0 ] = max.x; array[ 1 ] = max.y; array[ 2 ] = max.z;\n\t\tarray[ 3 ] = min.x; array[ 4 ] = max.y; array[ 5 ] = max.z;\n\t\tarray[ 6 ] = min.x; array[ 7 ] = min.y; array[ 8 ] = max.z;\n\t\tarray[ 9 ] = max.x; array[ 10 ] = min.y; array[ 11 ] = max.z;\n\t\tarray[ 12 ] = max.x; array[ 13 ] = max.y; array[ 14 ] = min.z;\n\t\tarray[ 15 ] = min.x; array[ 16 ] = max.y; array[ 17 ] = min.z;\n\t\tarray[ 18 ] = min.x; array[ 19 ] = min.y; array[ 20 ] = min.z;\n\t\tarray[ 21 ] = max.x; array[ 22 ] = min.y; array[ 23 ] = min.z;\n\n\t\tposition.needsUpdate = true;\n\n\t\tthis.geometry.computeBoundingSphere();\n\n\t}\n\n\tsetFromObject( object ) {\n\n\t\tthis.object = object;\n\t\tthis.update();\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.object = source.object;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass Box3Helper extends LineSegments {\n\n\tconstructor( box, color = 0xffff00 ) {\n\n\t\tconst indices = new Uint16Array( [ 0, 1, 1, 2, 2, 3, 3, 0, 4, 5, 5, 6, 6, 7, 7, 4, 0, 4, 1, 5, 2, 6, 3, 7 ] );\n\n\t\tconst positions = [ 1, 1, 1, - 1, 1, 1, - 1, - 1, 1, 1, - 1, 1, 1, 1, - 1, - 1, 1, - 1, - 1, - 1, - 1, 1, - 1, - 1 ];\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tgeometry.setIndex( new BufferAttribute( indices, 1 ) );\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.box = box;\n\n\t\tthis.type = 'Box3Helper';\n\n\t\tthis.geometry.computeBoundingSphere();\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tconst box = this.box;\n\n\t\tif ( box.isEmpty() ) return;\n\n\t\tbox.getCenter( this.position );\n\n\t\tbox.getSize( this.scale );\n\n\t\tthis.scale.multiplyScalar( 0.5 );\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass PlaneHelper extends Line {\n\n\tconstructor( plane, size = 1, hex = 0xffff00 ) {\n\n\t\tconst color = hex;\n\n\t\tconst positions = [ 1, - 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, - 1, 0, 1, 1, 0 ];\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\t\tgeometry.computeBoundingSphere();\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.type = 'PlaneHelper';\n\n\t\tthis.plane = plane;\n\n\t\tthis.size = size;\n\n\t\tconst positions2 = [ 1, 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, 1, 0, - 1, - 1, 0, 1, - 1, 0 ];\n\n\t\tconst geometry2 = new BufferGeometry();\n\t\tgeometry2.setAttribute( 'position', new Float32BufferAttribute( positions2, 3 ) );\n\t\tgeometry2.computeBoundingSphere();\n\n\t\tthis.add( new Mesh( geometry2, new MeshBasicMaterial( { color: color, opacity: 0.2, transparent: true, depthWrite: false, toneMapped: false } ) ) );\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tthis.position.set( 0, 0, 0 );\n\n\t\tthis.scale.set( 0.5 * this.size, 0.5 * this.size, 1 );\n\n\t\tthis.lookAt( this.plane.normal );\n\n\t\tthis.translateZ( - this.plane.constant );\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\t\tthis.children[ 0 ].geometry.dispose();\n\t\tthis.children[ 0 ].material.dispose();\n\n\t}\n\n}\n\nconst _axis = /*@__PURE__*/ new Vector3();\nlet _lineGeometry, _coneGeometry;\n\nclass ArrowHelper extends Object3D {\n\n\t// dir is assumed to be normalized\n\n\tconstructor( dir = new Vector3( 0, 0, 1 ), origin = new Vector3( 0, 0, 0 ), length = 1, color = 0xffff00, headLength = length * 0.2, headWidth = headLength * 0.2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ArrowHelper';\n\n\t\tif ( _lineGeometry === undefined ) {\n\n\t\t\t_lineGeometry = new BufferGeometry();\n\t\t\t_lineGeometry.setAttribute( 'position', new Float32BufferAttribute( [ 0, 0, 0, 0, 1, 0 ], 3 ) );\n\n\t\t\t_coneGeometry = new CylinderGeometry( 0, 0.5, 1, 5, 1 );\n\t\t\t_coneGeometry.translate( 0, - 0.5, 0 );\n\n\t\t}\n\n\t\tthis.position.copy( origin );\n\n\t\tthis.line = new Line( _lineGeometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\t\tthis.line.matrixAutoUpdate = false;\n\t\tthis.add( this.line );\n\n\t\tthis.cone = new Mesh( _coneGeometry, new MeshBasicMaterial( { color: color, toneMapped: false } ) );\n\t\tthis.cone.matrixAutoUpdate = false;\n\t\tthis.add( this.cone );\n\n\t\tthis.setDirection( dir );\n\t\tthis.setLength( length, headLength, headWidth );\n\n\t}\n\n\tsetDirection( dir ) {\n\n\t\t// dir is assumed to be normalized\n\n\t\tif ( dir.y > 0.99999 ) {\n\n\t\t\tthis.quaternion.set( 0, 0, 0, 1 );\n\n\t\t} else if ( dir.y < - 0.99999 ) {\n\n\t\t\tthis.quaternion.set( 1, 0, 0, 0 );\n\n\t\t} else {\n\n\t\t\t_axis.set( dir.z, 0, - dir.x ).normalize();\n\n\t\t\tconst radians = Math.acos( dir.y );\n\n\t\t\tthis.quaternion.setFromAxisAngle( _axis, radians );\n\n\t\t}\n\n\t}\n\n\tsetLength( length, headLength = length * 0.2, headWidth = headLength * 0.2 ) {\n\n\t\tthis.line.scale.set( 1, Math.max( 0.0001, length - headLength ), 1 ); // see #17458\n\t\tthis.line.updateMatrix();\n\n\t\tthis.cone.scale.set( headWidth, headLength, headWidth );\n\t\tthis.cone.position.y = length;\n\t\tthis.cone.updateMatrix();\n\n\t}\n\n\tsetColor( color ) {\n\n\t\tthis.line.material.color.set( color );\n\t\tthis.cone.material.color.set( color );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source, false );\n\n\t\tthis.line.copy( source.line );\n\t\tthis.cone.copy( source.cone );\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.line.geometry.dispose();\n\t\tthis.line.material.dispose();\n\t\tthis.cone.geometry.dispose();\n\t\tthis.cone.material.dispose();\n\n\t}\n\n}\n\nclass AxesHelper extends LineSegments {\n\n\tconstructor( size = 1 ) {\n\n\t\tconst vertices = [\n\t\t\t0, 0, 0,\tsize, 0, 0,\n\t\t\t0, 0, 0,\t0, size, 0,\n\t\t\t0, 0, 0,\t0, 0, size\n\t\t];\n\n\t\tconst colors = [\n\t\t\t1, 0, 0,\t1, 0.6, 0,\n\t\t\t0, 1, 0,\t0.6, 1, 0,\n\t\t\t0, 0, 1,\t0, 0.6, 1\n\t\t];\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'AxesHelper';\n\n\t}\n\n\tsetColors( xAxisColor, yAxisColor, zAxisColor ) {\n\n\t\tconst color = new Color();\n\t\tconst array = this.geometry.attributes.color.array;\n\n\t\tcolor.set( xAxisColor );\n\t\tcolor.toArray( array, 0 );\n\t\tcolor.toArray( array, 3 );\n\n\t\tcolor.set( yAxisColor );\n\t\tcolor.toArray( array, 6 );\n\t\tcolor.toArray( array, 9 );\n\n\t\tcolor.set( zAxisColor );\n\t\tcolor.toArray( array, 12 );\n\t\tcolor.toArray( array, 15 );\n\n\t\tthis.geometry.attributes.color.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass ShapePath {\n\n\tconstructor() {\n\n\t\tthis.type = 'ShapePath';\n\n\t\tthis.color = new Color();\n\n\t\tthis.subPaths = [];\n\t\tthis.currentPath = null;\n\n\t}\n\n\tmoveTo( x, y ) {\n\n\t\tthis.currentPath = new Path();\n\t\tthis.subPaths.push( this.currentPath );\n\t\tthis.currentPath.moveTo( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tlineTo( x, y ) {\n\n\t\tthis.currentPath.lineTo( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tquadraticCurveTo( aCPx, aCPy, aX, aY ) {\n\n\t\tthis.currentPath.quadraticCurveTo( aCPx, aCPy, aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tbezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY ) {\n\n\t\tthis.currentPath.bezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tsplineThru( pts ) {\n\n\t\tthis.currentPath.splineThru( pts );\n\n\t\treturn this;\n\n\t}\n\n\ttoShapes( isCCW ) {\n\n\t\tfunction toShapesNoHoles( inSubpaths ) {\n\n\t\t\tconst shapes = [];\n\n\t\t\tfor ( let i = 0, l = inSubpaths.length; i < l; i ++ ) {\n\n\t\t\t\tconst tmpPath = inSubpaths[ i ];\n\n\t\t\t\tconst tmpShape = new Shape();\n\t\t\t\ttmpShape.curves = tmpPath.curves;\n\n\t\t\t\tshapes.push( tmpShape );\n\n\t\t\t}\n\n\t\t\treturn shapes;\n\n\t\t}\n\n\t\tfunction isPointInsidePolygon( inPt, inPolygon ) {\n\n\t\t\tconst polyLen = inPolygon.length;\n\n\t\t\t// inPt on polygon contour => immediate success or\n\t\t\t// toggling of inside/outside at every single! intersection point of an edge\n\t\t\t// with the horizontal line through inPt, left of inPt\n\t\t\t// not counting lowerY endpoints of edges and whole edges on that line\n\t\t\tlet inside = false;\n\t\t\tfor ( let p = polyLen - 1, q = 0; q < polyLen; p = q ++ ) {\n\n\t\t\t\tlet edgeLowPt = inPolygon[ p ];\n\t\t\t\tlet edgeHighPt = inPolygon[ q ];\n\n\t\t\t\tlet edgeDx = edgeHighPt.x - edgeLowPt.x;\n\t\t\t\tlet edgeDy = edgeHighPt.y - edgeLowPt.y;\n\n\t\t\t\tif ( Math.abs( edgeDy ) > Number.EPSILON ) {\n\n\t\t\t\t\t// not parallel\n\t\t\t\t\tif ( edgeDy < 0 ) {\n\n\t\t\t\t\t\tedgeLowPt = inPolygon[ q ]; edgeDx = - edgeDx;\n\t\t\t\t\t\tedgeHighPt = inPolygon[ p ]; edgeDy = - edgeDy;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ( inPt.y < edgeLowPt.y ) || ( inPt.y > edgeHighPt.y ) ) \t\tcontinue;\n\n\t\t\t\t\tif ( inPt.y === edgeLowPt.y ) {\n\n\t\t\t\t\t\tif ( inPt.x === edgeLowPt.x )\t\treturn\ttrue;\t\t// inPt is on contour ?\n\t\t\t\t\t\t// continue;\t\t\t\t// no intersection or edgeLowPt => doesn't count !!!\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst perpEdge = edgeDy * ( inPt.x - edgeLowPt.x ) - edgeDx * ( inPt.y - edgeLowPt.y );\n\t\t\t\t\t\tif ( perpEdge === 0 )\t\t\t\treturn\ttrue;\t\t// inPt is on contour ?\n\t\t\t\t\t\tif ( perpEdge < 0 ) \t\t\t\tcontinue;\n\t\t\t\t\t\tinside = ! inside;\t\t// true intersection left of inPt\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// parallel or collinear\n\t\t\t\t\tif ( inPt.y !== edgeLowPt.y ) \t\tcontinue;\t\t\t// parallel\n\t\t\t\t\t// edge lies on the same horizontal line as inPt\n\t\t\t\t\tif ( ( ( edgeHighPt.x <= inPt.x ) && ( inPt.x <= edgeLowPt.x ) ) ||\n\t\t\t\t\t\t ( ( edgeLowPt.x <= inPt.x ) && ( inPt.x <= edgeHighPt.x ) ) )\t\treturn\ttrue;\t// inPt: Point on contour !\n\t\t\t\t\t// continue;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn\tinside;\n\n\t\t}\n\n\t\tconst isClockWise = ShapeUtils.isClockWise;\n\n\t\tconst subPaths = this.subPaths;\n\t\tif ( subPaths.length === 0 ) return [];\n\n\t\tlet solid, tmpPath, tmpShape;\n\t\tconst shapes = [];\n\n\t\tif ( subPaths.length === 1 ) {\n\n\t\t\ttmpPath = subPaths[ 0 ];\n\t\t\ttmpShape = new Shape();\n\t\t\ttmpShape.curves = tmpPath.curves;\n\t\t\tshapes.push( tmpShape );\n\t\t\treturn shapes;\n\n\t\t}\n\n\t\tlet holesFirst = ! isClockWise( subPaths[ 0 ].getPoints() );\n\t\tholesFirst = isCCW ? ! holesFirst : holesFirst;\n\n\t\t// console.log(\"Holes first\", holesFirst);\n\n\t\tconst betterShapeHoles = [];\n\t\tconst newShapes = [];\n\t\tlet newShapeHoles = [];\n\t\tlet mainIdx = 0;\n\t\tlet tmpPoints;\n\n\t\tnewShapes[ mainIdx ] = undefined;\n\t\tnewShapeHoles[ mainIdx ] = [];\n\n\t\tfor ( let i = 0, l = subPaths.length; i < l; i ++ ) {\n\n\t\t\ttmpPath = subPaths[ i ];\n\t\t\ttmpPoints = tmpPath.getPoints();\n\t\t\tsolid = isClockWise( tmpPoints );\n\t\t\tsolid = isCCW ? ! solid : solid;\n\n\t\t\tif ( solid ) {\n\n\t\t\t\tif ( ( ! holesFirst ) && ( newShapes[ mainIdx ] ) )\tmainIdx ++;\n\n\t\t\t\tnewShapes[ mainIdx ] = { s: new Shape(), p: tmpPoints };\n\t\t\t\tnewShapes[ mainIdx ].s.curves = tmpPath.curves;\n\n\t\t\t\tif ( holesFirst )\tmainIdx ++;\n\t\t\t\tnewShapeHoles[ mainIdx ] = [];\n\n\t\t\t\t//console.log('cw', i);\n\n\t\t\t} else {\n\n\t\t\t\tnewShapeHoles[ mainIdx ].push( { h: tmpPath, p: tmpPoints[ 0 ] } );\n\n\t\t\t\t//console.log('ccw', i);\n\n\t\t\t}\n\n\t\t}\n\n\t\t// only Holes? -> probably all Shapes with wrong orientation\n\t\tif ( ! newShapes[ 0 ] )\treturn\ttoShapesNoHoles( subPaths );\n\n\n\t\tif ( newShapes.length > 1 ) {\n\n\t\t\tlet ambiguous = false;\n\t\t\tlet toChange = 0;\n\n\t\t\tfor ( let sIdx = 0, sLen = newShapes.length; sIdx < sLen; sIdx ++ ) {\n\n\t\t\t\tbetterShapeHoles[ sIdx ] = [];\n\n\t\t\t}\n\n\t\t\tfor ( let sIdx = 0, sLen = newShapes.length; sIdx < sLen; sIdx ++ ) {\n\n\t\t\t\tconst sho = newShapeHoles[ sIdx ];\n\n\t\t\t\tfor ( let hIdx = 0; hIdx < sho.length; hIdx ++ ) {\n\n\t\t\t\t\tconst ho = sho[ hIdx ];\n\t\t\t\t\tlet hole_unassigned = true;\n\n\t\t\t\t\tfor ( let s2Idx = 0; s2Idx < newShapes.length; s2Idx ++ ) {\n\n\t\t\t\t\t\tif ( isPointInsidePolygon( ho.p, newShapes[ s2Idx ].p ) ) {\n\n\t\t\t\t\t\t\tif ( sIdx !== s2Idx )\ttoChange ++;\n\n\t\t\t\t\t\t\tif ( hole_unassigned ) {\n\n\t\t\t\t\t\t\t\thole_unassigned = false;\n\t\t\t\t\t\t\t\tbetterShapeHoles[ s2Idx ].push( ho );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tambiguous = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( hole_unassigned ) {\n\n\t\t\t\t\t\tbetterShapeHoles[ sIdx ].push( ho );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( toChange > 0 && ambiguous === false ) {\n\n\t\t\t\tnewShapeHoles = betterShapeHoles;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlet tmpHoles;\n\n\t\tfor ( let i = 0, il = newShapes.length; i < il; i ++ ) {\n\n\t\t\ttmpShape = newShapes[ i ].s;\n\t\t\tshapes.push( tmpShape );\n\t\t\ttmpHoles = newShapeHoles[ i ];\n\n\t\t\tfor ( let j = 0, jl = tmpHoles.length; j < jl; j ++ ) {\n\n\t\t\t\ttmpShape.holes.push( tmpHoles[ j ].h );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//console.log(\"shape\", shapes);\n\n\t\treturn shapes;\n\n\t}\n\n}\n\nif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'register', { detail: {\n\t\trevision: REVISION,\n\t} } ) );\n\n}\n\nif ( typeof window !== 'undefined' ) {\n\n\tif ( window.__THREE__ ) {\n\n\t\tconsole.warn( 'WARNING: Multiple instances of Three.js being imported.' );\n\n\t} else {\n\n\t\twindow.__THREE__ = REVISION;\n\n\t}\n\n}\n\nexport { ACESFilmicToneMapping, AddEquation, AddOperation, AdditiveAnimationBlendMode, AdditiveBlending, AgXToneMapping, AlphaFormat, AlwaysCompare, AlwaysDepth, AlwaysStencilFunc, AmbientLight, AnimationAction, AnimationClip, AnimationLoader, AnimationMixer, AnimationObjectGroup, AnimationUtils, ArcCurve, ArrayCamera, ArrowHelper, AttachedBindMode, Audio, AudioAnalyser, AudioContext, AudioListener, AudioLoader, AxesHelper, BackSide, BasicDepthPacking, BasicShadowMap, BatchedMesh, Bone, BooleanKeyframeTrack, Box2, Box3, Box3Helper, BoxGeometry, BoxHelper, BufferAttribute, BufferGeometry, BufferGeometryLoader, ByteType, Cache, Camera, CameraHelper, CanvasTexture, CapsuleGeometry, CatmullRomCurve3, CineonToneMapping, CircleGeometry, ClampToEdgeWrapping, Clock, Color, ColorKeyframeTrack, ColorManagement, CompressedArrayTexture, CompressedCubeTexture, CompressedTexture, CompressedTextureLoader, ConeGeometry, ConstantAlphaFactor, ConstantColorFactor, CubeCamera, CubeReflectionMapping, CubeRefractionMapping, CubeTexture, CubeTextureLoader, CubeUVReflectionMapping, CubicBezierCurve, CubicBezierCurve3, CubicInterpolant, CullFaceBack, CullFaceFront, CullFaceFrontBack, CullFaceNone, Curve, CurvePath, CustomBlending, CustomToneMapping, CylinderGeometry, Cylindrical, Data3DTexture, DataArrayTexture, DataTexture, DataTextureLoader, DataUtils, DecrementStencilOp, DecrementWrapStencilOp, DefaultLoadingManager, DepthFormat, DepthStencilFormat, DepthTexture, DetachedBindMode, DirectionalLight, DirectionalLightHelper, DiscreteInterpolant, DisplayP3ColorSpace, DodecahedronGeometry, DoubleSide, DstAlphaFactor, DstColorFactor, DynamicCopyUsage, DynamicDrawUsage, DynamicReadUsage, EdgesGeometry, EllipseCurve, EqualCompare, EqualDepth, EqualStencilFunc, EquirectangularReflectionMapping, EquirectangularRefractionMapping, Euler, EventDispatcher, ExtrudeGeometry, FileLoader, Float16BufferAttribute, Float32BufferAttribute, Float64BufferAttribute, FloatType, Fog, FogExp2, FramebufferTexture, FrontSide, Frustum, GLBufferAttribute, GLSL1, GLSL3, GreaterCompare, GreaterDepth, GreaterEqualCompare, GreaterEqualDepth, GreaterEqualStencilFunc, GreaterStencilFunc, GridHelper, Group, HalfFloatType, HemisphereLight, HemisphereLightHelper, IcosahedronGeometry, ImageBitmapLoader, ImageLoader, ImageUtils, IncrementStencilOp, IncrementWrapStencilOp, InstancedBufferAttribute, InstancedBufferGeometry, InstancedInterleavedBuffer, InstancedMesh, Int16BufferAttribute, Int32BufferAttribute, Int8BufferAttribute, IntType, InterleavedBuffer, InterleavedBufferAttribute, Interpolant, InterpolateDiscrete, InterpolateLinear, InterpolateSmooth, InvertStencilOp, KeepStencilOp, KeyframeTrack, LOD, LatheGeometry, Layers, LessCompare, LessDepth, LessEqualCompare, LessEqualDepth, LessEqualStencilFunc, LessStencilFunc, Light, LightProbe, Line, Line3, LineBasicMaterial, LineCurve, LineCurve3, LineDashedMaterial, LineLoop, LineSegments, LinearDisplayP3ColorSpace, LinearEncoding, LinearFilter, LinearInterpolant, LinearMipMapLinearFilter, LinearMipMapNearestFilter, LinearMipmapLinearFilter, LinearMipmapNearestFilter, LinearSRGBColorSpace, LinearToneMapping, LinearTransfer, Loader, LoaderUtils, LoadingManager, LoopOnce, LoopPingPong, LoopRepeat, LuminanceAlphaFormat, LuminanceFormat, MOUSE, Material, MaterialLoader, MathUtils, Matrix3, Matrix4, MaxEquation, Mesh, MeshBasicMaterial, MeshDepthMaterial, MeshDistanceMaterial, MeshLambertMaterial, MeshMatcapMaterial, MeshNormalMaterial, MeshPhongMaterial, MeshPhysicalMaterial, MeshStandardMaterial, MeshToonMaterial, MinEquation, MirroredRepeatWrapping, MixOperation, MultiplyBlending, MultiplyOperation, NearestFilter, NearestMipMapLinearFilter, NearestMipMapNearestFilter, NearestMipmapLinearFilter, NearestMipmapNearestFilter, NeverCompare, NeverDepth, NeverStencilFunc, NoBlending, NoColorSpace, NoToneMapping, NormalAnimationBlendMode, NormalBlending, NotEqualCompare, NotEqualDepth, NotEqualStencilFunc, NumberKeyframeTrack, Object3D, ObjectLoader, ObjectSpaceNormalMap, OctahedronGeometry, OneFactor, OneMinusConstantAlphaFactor, OneMinusConstantColorFactor, OneMinusDstAlphaFactor, OneMinusDstColorFactor, OneMinusSrcAlphaFactor, OneMinusSrcColorFactor, OrthographicCamera, P3Primaries, PCFShadowMap, PCFSoftShadowMap, PMREMGenerator, Path, PerspectiveCamera, Plane, PlaneGeometry, PlaneHelper, PointLight, PointLightHelper, Points, PointsMaterial, PolarGridHelper, PolyhedronGeometry, PositionalAudio, PropertyBinding, PropertyMixer, QuadraticBezierCurve, QuadraticBezierCurve3, Quaternion, QuaternionKeyframeTrack, QuaternionLinearInterpolant, RED_GREEN_RGTC2_Format, RED_RGTC1_Format, REVISION, RGBADepthPacking, RGBAFormat, RGBAIntegerFormat, RGBA_ASTC_10x10_Format, RGBA_ASTC_10x5_Format, RGBA_ASTC_10x6_Format, RGBA_ASTC_10x8_Format, RGBA_ASTC_12x10_Format, RGBA_ASTC_12x12_Format, RGBA_ASTC_4x4_Format, RGBA_ASTC_5x4_Format, RGBA_ASTC_5x5_Format, RGBA_ASTC_6x5_Format, RGBA_ASTC_6x6_Format, RGBA_ASTC_8x5_Format, RGBA_ASTC_8x6_Format, RGBA_ASTC_8x8_Format, RGBA_BPTC_Format, RGBA_ETC2_EAC_Format, RGBA_PVRTC_2BPPV1_Format, RGBA_PVRTC_4BPPV1_Format, RGBA_S3TC_DXT1_Format, RGBA_S3TC_DXT3_Format, RGBA_S3TC_DXT5_Format, RGB_BPTC_SIGNED_Format, RGB_BPTC_UNSIGNED_Format, RGB_ETC1_Format, RGB_ETC2_Format, RGB_PVRTC_2BPPV1_Format, RGB_PVRTC_4BPPV1_Format, RGB_S3TC_DXT1_Format, RGFormat, RGIntegerFormat, RawShaderMaterial, Ray, Raycaster, Rec709Primaries, RectAreaLight, RedFormat, RedIntegerFormat, ReinhardToneMapping, RenderTarget, RepeatWrapping, ReplaceStencilOp, ReverseSubtractEquation, RingGeometry, SIGNED_RED_GREEN_RGTC2_Format, SIGNED_RED_RGTC1_Format, SRGBColorSpace, SRGBTransfer, Scene, ShaderChunk, ShaderLib, ShaderMaterial, ShadowMaterial, Shape, ShapeGeometry, ShapePath, ShapeUtils, ShortType, Skeleton, SkeletonHelper, SkinnedMesh, Source, Sphere, SphereGeometry, Spherical, SphericalHarmonics3, SplineCurve, SpotLight, SpotLightHelper, Sprite, SpriteMaterial, SrcAlphaFactor, SrcAlphaSaturateFactor, SrcColorFactor, StaticCopyUsage, StaticDrawUsage, StaticReadUsage, StereoCamera, StreamCopyUsage, StreamDrawUsage, StreamReadUsage, StringKeyframeTrack, SubtractEquation, SubtractiveBlending, TOUCH, TangentSpaceNormalMap, TetrahedronGeometry, Texture, TextureLoader, TorusGeometry, TorusKnotGeometry, Triangle, TriangleFanDrawMode, TriangleStripDrawMode, TrianglesDrawMode, TubeGeometry, TwoPassDoubleSide, UVMapping, Uint16BufferAttribute, Uint32BufferAttribute, Uint8BufferAttribute, Uint8ClampedBufferAttribute, Uniform, UniformsGroup, UniformsLib, UniformsUtils, UnsignedByteType, UnsignedInt248Type, UnsignedIntType, UnsignedShort4444Type, UnsignedShort5551Type, UnsignedShortType, VSMShadowMap, Vector2, Vector3, Vector4, VectorKeyframeTrack, VideoTexture, WebGL1Renderer, WebGL3DRenderTarget, WebGLArrayRenderTarget, WebGLCoordinateSystem, WebGLCubeRenderTarget, WebGLMultipleRenderTargets, WebGLRenderTarget, WebGLRenderer, WebGLUtils, WebGPUCoordinateSystem, WireframeGeometry, WrapAroundEnding, ZeroCurvatureEnding, ZeroFactor, ZeroSlopeEnding, ZeroStencilOp, _SRGBAFormat, createCanvasElement, sRGBEncoding };\n","import {\n\tEventDispatcher,\n\tMOUSE,\n\tQuaternion,\n\tSpherical,\n\tTOUCH,\n\tVector2,\n\tVector3,\n\tPlane,\n\tRay,\n\tMathUtils\n} from 'three';\n\n// OrbitControls performs orbiting, dollying (zooming), and panning.\n// Unlike TrackballControls, it maintains the \"up\" direction object.up (+Y by default).\n//\n// Orbit - left mouse / touch: one-finger move\n// Zoom - middle mouse, or mousewheel / touch: two-finger spread or squish\n// Pan - right mouse, or left mouse + ctrl/meta/shiftKey, or arrow keys / touch: two-finger move\n\nconst _changeEvent = { type: 'change' };\nconst _startEvent = { type: 'start' };\nconst _endEvent = { type: 'end' };\nconst _ray = new Ray();\nconst _plane = new Plane();\nconst TILT_LIMIT = Math.cos( 70 * MathUtils.DEG2RAD );\n\nclass OrbitControls extends EventDispatcher {\n\n\tconstructor( object, domElement ) {\n\n\t\tsuper();\n\n\t\tthis.object = object;\n\t\tthis.domElement = domElement;\n\t\tthis.domElement.style.touchAction = 'none'; // disable touch scroll\n\n\t\t// Set to false to disable this control\n\t\tthis.enabled = true;\n\n\t\t// \"target\" sets the location of focus, where the object orbits around\n\t\tthis.target = new Vector3();\n\n\t\t// Sets the 3D cursor (similar to Blender), from which the maxTargetRadius takes effect\n\t\tthis.cursor = new Vector3();\n\n\t\t// How far you can dolly in and out ( PerspectiveCamera only )\n\t\tthis.minDistance = 0;\n\t\tthis.maxDistance = Infinity;\n\n\t\t// How far you can zoom in and out ( OrthographicCamera only )\n\t\tthis.minZoom = 0;\n\t\tthis.maxZoom = Infinity;\n\n\t\t// Limit camera target within a spherical area around the cursor\n\t\tthis.minTargetRadius = 0;\n\t\tthis.maxTargetRadius = Infinity;\n\n\t\t// How far you can orbit vertically, upper and lower limits.\n\t\t// Range is 0 to Math.PI radians.\n\t\tthis.minPolarAngle = 0; // radians\n\t\tthis.maxPolarAngle = Math.PI; // radians\n\n\t\t// How far you can orbit horizontally, upper and lower limits.\n\t\t// If set, the interval [ min, max ] must be a sub-interval of [ - 2 PI, 2 PI ], with ( max - min < 2 PI )\n\t\tthis.minAzimuthAngle = - Infinity; // radians\n\t\tthis.maxAzimuthAngle = Infinity; // radians\n\n\t\t// Set to true to enable damping (inertia)\n\t\t// If damping is enabled, you must call controls.update() in your animation loop\n\t\tthis.enableDamping = false;\n\t\tthis.dampingFactor = 0.05;\n\n\t\t// This option actually enables dollying in and out; left as \"zoom\" for backwards compatibility.\n\t\t// Set to false to disable zooming\n\t\tthis.enableZoom = true;\n\t\tthis.zoomSpeed = 1.0;\n\n\t\t// Set to false to disable rotating\n\t\tthis.enableRotate = true;\n\t\tthis.rotateSpeed = 1.0;\n\n\t\t// Set to false to disable panning\n\t\tthis.enablePan = true;\n\t\tthis.panSpeed = 1.0;\n\t\tthis.screenSpacePanning = true; // if false, pan orthogonal to world-space direction camera.up\n\t\tthis.keyPanSpeed = 7.0;\t// pixels moved per arrow key push\n\t\tthis.zoomToCursor = false;\n\n\t\t// Set to true to automatically rotate around the target\n\t\t// If auto-rotate is enabled, you must call controls.update() in your animation loop\n\t\tthis.autoRotate = false;\n\t\tthis.autoRotateSpeed = 2.0; // 30 seconds per orbit when fps is 60\n\n\t\t// The four arrow keys\n\t\tthis.keys = { LEFT: 'ArrowLeft', UP: 'ArrowUp', RIGHT: 'ArrowRight', BOTTOM: 'ArrowDown' };\n\n\t\t// Mouse buttons\n\t\tthis.mouseButtons = { LEFT: MOUSE.ROTATE, MIDDLE: MOUSE.DOLLY, RIGHT: MOUSE.PAN };\n\n\t\t// Touch fingers\n\t\tthis.touches = { ONE: TOUCH.ROTATE, TWO: TOUCH.DOLLY_PAN };\n\n\t\t// for reset\n\t\tthis.target0 = this.target.clone();\n\t\tthis.position0 = this.object.position.clone();\n\t\tthis.zoom0 = this.object.zoom;\n\n\t\t// the target DOM element for key events\n\t\tthis._domElementKeyEvents = null;\n\n\t\t//\n\t\t// public methods\n\t\t//\n\n\t\tthis.getPolarAngle = function () {\n\n\t\t\treturn spherical.phi;\n\n\t\t};\n\n\t\tthis.getAzimuthalAngle = function () {\n\n\t\t\treturn spherical.theta;\n\n\t\t};\n\n\t\tthis.getDistance = function () {\n\n\t\t\treturn this.object.position.distanceTo( this.target );\n\n\t\t};\n\n\t\tthis.listenToKeyEvents = function ( domElement ) {\n\n\t\t\tdomElement.addEventListener( 'keydown', onKeyDown );\n\t\t\tthis._domElementKeyEvents = domElement;\n\n\t\t};\n\n\t\tthis.stopListenToKeyEvents = function () {\n\n\t\t\tthis._domElementKeyEvents.removeEventListener( 'keydown', onKeyDown );\n\t\t\tthis._domElementKeyEvents = null;\n\n\t\t};\n\n\t\tthis.saveState = function () {\n\n\t\t\tscope.target0.copy( scope.target );\n\t\t\tscope.position0.copy( scope.object.position );\n\t\t\tscope.zoom0 = scope.object.zoom;\n\n\t\t};\n\n\t\tthis.reset = function () {\n\n\t\t\tscope.target.copy( scope.target0 );\n\t\t\tscope.object.position.copy( scope.position0 );\n\t\t\tscope.object.zoom = scope.zoom0;\n\n\t\t\tscope.object.updateProjectionMatrix();\n\t\t\tscope.dispatchEvent( _changeEvent );\n\n\t\t\tscope.update();\n\n\t\t\tstate = STATE.NONE;\n\n\t\t};\n\n\t\t// this method is exposed, but perhaps it would be better if we can make it private...\n\t\tthis.update = function () {\n\n\t\t\tconst offset = new Vector3();\n\n\t\t\t// so camera.up is the orbit axis\n\t\t\tconst quat = new Quaternion().setFromUnitVectors( object.up, new Vector3( 0, 1, 0 ) );\n\t\t\tconst quatInverse = quat.clone().invert();\n\n\t\t\tconst lastPosition = new Vector3();\n\t\t\tconst lastQuaternion = new Quaternion();\n\t\t\tconst lastTargetPosition = new Vector3();\n\n\t\t\tconst twoPI = 2 * Math.PI;\n\n\t\t\treturn function update( deltaTime = null ) {\n\n\t\t\t\tconst position = scope.object.position;\n\n\t\t\t\toffset.copy( position ).sub( scope.target );\n\n\t\t\t\t// rotate offset to \"y-axis-is-up\" space\n\t\t\t\toffset.applyQuaternion( quat );\n\n\t\t\t\t// angle from z-axis around y-axis\n\t\t\t\tspherical.setFromVector3( offset );\n\n\t\t\t\tif ( scope.autoRotate && state === STATE.NONE ) {\n\n\t\t\t\t\trotateLeft( getAutoRotationAngle( deltaTime ) );\n\n\t\t\t\t}\n\n\t\t\t\tif ( scope.enableDamping ) {\n\n\t\t\t\t\tspherical.theta += sphericalDelta.theta * scope.dampingFactor;\n\t\t\t\t\tspherical.phi += sphericalDelta.phi * scope.dampingFactor;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tspherical.theta += sphericalDelta.theta;\n\t\t\t\t\tspherical.phi += sphericalDelta.phi;\n\n\t\t\t\t}\n\n\t\t\t\t// restrict theta to be between desired limits\n\n\t\t\t\tlet min = scope.minAzimuthAngle;\n\t\t\t\tlet max = scope.maxAzimuthAngle;\n\n\t\t\t\tif ( isFinite( min ) && isFinite( max ) ) {\n\n\t\t\t\t\tif ( min < - Math.PI ) min += twoPI; else if ( min > Math.PI ) min -= twoPI;\n\n\t\t\t\t\tif ( max < - Math.PI ) max += twoPI; else if ( max > Math.PI ) max -= twoPI;\n\n\t\t\t\t\tif ( min <= max ) {\n\n\t\t\t\t\t\tspherical.theta = Math.max( min, Math.min( max, spherical.theta ) );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tspherical.theta = ( spherical.theta > ( min + max ) / 2 ) ?\n\t\t\t\t\t\t\tMath.max( min, spherical.theta ) :\n\t\t\t\t\t\t\tMath.min( max, spherical.theta );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// restrict phi to be between desired limits\n\t\t\t\tspherical.phi = Math.max( scope.minPolarAngle, Math.min( scope.maxPolarAngle, spherical.phi ) );\n\n\t\t\t\tspherical.makeSafe();\n\n\n\t\t\t\t// move target to panned location\n\n\t\t\t\tif ( scope.enableDamping === true ) {\n\n\t\t\t\t\tscope.target.addScaledVector( panOffset, scope.dampingFactor );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tscope.target.add( panOffset );\n\n\t\t\t\t}\n\n\t\t\t\t// Limit the target distance from the cursor to create a sphere around the center of interest\n\t\t\t\tscope.target.sub( scope.cursor );\n\t\t\t\tscope.target.clampLength( scope.minTargetRadius, scope.maxTargetRadius );\n\t\t\t\tscope.target.add( scope.cursor );\n\n\t\t\t\t// adjust the camera position based on zoom only if we're not zooming to the cursor or if it's an ortho camera\n\t\t\t\t// we adjust zoom later in these cases\n\t\t\t\tif ( scope.zoomToCursor && performCursorZoom || scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\tspherical.radius = clampDistance( spherical.radius );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tspherical.radius = clampDistance( spherical.radius * scale );\n\n\t\t\t\t}\n\n\t\t\t\toffset.setFromSpherical( spherical );\n\n\t\t\t\t// rotate offset back to \"camera-up-vector-is-up\" space\n\t\t\t\toffset.applyQuaternion( quatInverse );\n\n\t\t\t\tposition.copy( scope.target ).add( offset );\n\n\t\t\t\tscope.object.lookAt( scope.target );\n\n\t\t\t\tif ( scope.enableDamping === true ) {\n\n\t\t\t\t\tsphericalDelta.theta *= ( 1 - scope.dampingFactor );\n\t\t\t\t\tsphericalDelta.phi *= ( 1 - scope.dampingFactor );\n\n\t\t\t\t\tpanOffset.multiplyScalar( 1 - scope.dampingFactor );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tsphericalDelta.set( 0, 0, 0 );\n\n\t\t\t\t\tpanOffset.set( 0, 0, 0 );\n\n\t\t\t\t}\n\n\t\t\t\t// adjust camera position\n\t\t\t\tlet zoomChanged = false;\n\t\t\t\tif ( scope.zoomToCursor && performCursorZoom ) {\n\n\t\t\t\t\tlet newRadius = null;\n\t\t\t\t\tif ( scope.object.isPerspectiveCamera ) {\n\n\t\t\t\t\t\t// move the camera down the pointer ray\n\t\t\t\t\t\t// this method avoids floating point error\n\t\t\t\t\t\tconst prevRadius = offset.length();\n\t\t\t\t\t\tnewRadius = clampDistance( prevRadius * scale );\n\n\t\t\t\t\t\tconst radiusDelta = prevRadius - newRadius;\n\t\t\t\t\t\tscope.object.position.addScaledVector( dollyDirection, radiusDelta );\n\t\t\t\t\t\tscope.object.updateMatrixWorld();\n\n\t\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\t\t// adjust the ortho camera position based on zoom changes\n\t\t\t\t\t\tconst mouseBefore = new Vector3( mouse.x, mouse.y, 0 );\n\t\t\t\t\t\tmouseBefore.unproject( scope.object );\n\n\t\t\t\t\t\tscope.object.zoom = Math.max( scope.minZoom, Math.min( scope.maxZoom, scope.object.zoom / scale ) );\n\t\t\t\t\t\tscope.object.updateProjectionMatrix();\n\t\t\t\t\t\tzoomChanged = true;\n\n\t\t\t\t\t\tconst mouseAfter = new Vector3( mouse.x, mouse.y, 0 );\n\t\t\t\t\t\tmouseAfter.unproject( scope.object );\n\n\t\t\t\t\t\tscope.object.position.sub( mouseAfter ).add( mouseBefore );\n\t\t\t\t\t\tscope.object.updateMatrixWorld();\n\n\t\t\t\t\t\tnewRadius = offset.length();\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled.' );\n\t\t\t\t\t\tscope.zoomToCursor = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// handle the placement of the target\n\t\t\t\t\tif ( newRadius !== null ) {\n\n\t\t\t\t\t\tif ( this.screenSpacePanning ) {\n\n\t\t\t\t\t\t\t// position the orbit target in front of the new camera position\n\t\t\t\t\t\t\tscope.target.set( 0, 0, - 1 )\n\t\t\t\t\t\t\t\t.transformDirection( scope.object.matrix )\n\t\t\t\t\t\t\t\t.multiplyScalar( newRadius )\n\t\t\t\t\t\t\t\t.add( scope.object.position );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// get the ray and translation plane to compute target\n\t\t\t\t\t\t\t_ray.origin.copy( scope.object.position );\n\t\t\t\t\t\t\t_ray.direction.set( 0, 0, - 1 ).transformDirection( scope.object.matrix );\n\n\t\t\t\t\t\t\t// if the camera is 20 degrees above the horizon then don't adjust the focus target to avoid\n\t\t\t\t\t\t\t// extremely large values\n\t\t\t\t\t\t\tif ( Math.abs( scope.object.up.dot( _ray.direction ) ) < TILT_LIMIT ) {\n\n\t\t\t\t\t\t\t\tobject.lookAt( scope.target );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t_plane.setFromNormalAndCoplanarPoint( scope.object.up, scope.target );\n\t\t\t\t\t\t\t\t_ray.intersectPlane( _plane, scope.target );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\tscope.object.zoom = Math.max( scope.minZoom, Math.min( scope.maxZoom, scope.object.zoom / scale ) );\n\t\t\t\t\tscope.object.updateProjectionMatrix();\n\t\t\t\t\tzoomChanged = true;\n\n\t\t\t\t}\n\n\t\t\t\tscale = 1;\n\t\t\t\tperformCursorZoom = false;\n\n\t\t\t\t// update condition is:\n\t\t\t\t// min(camera displacement, camera rotation in radians)^2 > EPS\n\t\t\t\t// using small-angle approximation cos(x/2) = 1 - x^2 / 8\n\n\t\t\t\tif ( zoomChanged ||\n\t\t\t\t\tlastPosition.distanceToSquared( scope.object.position ) > EPS ||\n\t\t\t\t\t8 * ( 1 - lastQuaternion.dot( scope.object.quaternion ) ) > EPS ||\n\t\t\t\t\tlastTargetPosition.distanceToSquared( scope.target ) > 0 ) {\n\n\t\t\t\t\tscope.dispatchEvent( _changeEvent );\n\n\t\t\t\t\tlastPosition.copy( scope.object.position );\n\t\t\t\t\tlastQuaternion.copy( scope.object.quaternion );\n\t\t\t\t\tlastTargetPosition.copy( scope.target );\n\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t\treturn false;\n\n\t\t\t};\n\n\t\t}();\n\n\t\tthis.dispose = function () {\n\n\t\t\tscope.domElement.removeEventListener( 'contextmenu', onContextMenu );\n\n\t\t\tscope.domElement.removeEventListener( 'pointerdown', onPointerDown );\n\t\t\tscope.domElement.removeEventListener( 'pointercancel', onPointerUp );\n\t\t\tscope.domElement.removeEventListener( 'wheel', onMouseWheel );\n\n\t\t\tscope.domElement.removeEventListener( 'pointermove', onPointerMove );\n\t\t\tscope.domElement.removeEventListener( 'pointerup', onPointerUp );\n\n\n\t\t\tif ( scope._domElementKeyEvents !== null ) {\n\n\t\t\t\tscope._domElementKeyEvents.removeEventListener( 'keydown', onKeyDown );\n\t\t\t\tscope._domElementKeyEvents = null;\n\n\t\t\t}\n\n\t\t\t//scope.dispatchEvent( { type: 'dispose' } ); // should this be added here?\n\n\t\t};\n\n\t\t//\n\t\t// internals\n\t\t//\n\n\t\tconst scope = this;\n\n\t\tconst STATE = {\n\t\t\tNONE: - 1,\n\t\t\tROTATE: 0,\n\t\t\tDOLLY: 1,\n\t\t\tPAN: 2,\n\t\t\tTOUCH_ROTATE: 3,\n\t\t\tTOUCH_PAN: 4,\n\t\t\tTOUCH_DOLLY_PAN: 5,\n\t\t\tTOUCH_DOLLY_ROTATE: 6\n\t\t};\n\n\t\tlet state = STATE.NONE;\n\n\t\tconst EPS = 0.000001;\n\n\t\t// current position in spherical coordinates\n\t\tconst spherical = new Spherical();\n\t\tconst sphericalDelta = new Spherical();\n\n\t\tlet scale = 1;\n\t\tconst panOffset = new Vector3();\n\n\t\tconst rotateStart = new Vector2();\n\t\tconst rotateEnd = new Vector2();\n\t\tconst rotateDelta = new Vector2();\n\n\t\tconst panStart = new Vector2();\n\t\tconst panEnd = new Vector2();\n\t\tconst panDelta = new Vector2();\n\n\t\tconst dollyStart = new Vector2();\n\t\tconst dollyEnd = new Vector2();\n\t\tconst dollyDelta = new Vector2();\n\n\t\tconst dollyDirection = new Vector3();\n\t\tconst mouse = new Vector2();\n\t\tlet performCursorZoom = false;\n\n\t\tconst pointers = [];\n\t\tconst pointerPositions = {};\n\n\t\tlet controlActive = false;\n\n\t\tfunction getAutoRotationAngle( deltaTime ) {\n\n\t\t\tif ( deltaTime !== null ) {\n\n\t\t\t\treturn ( 2 * Math.PI / 60 * scope.autoRotateSpeed ) * deltaTime;\n\n\t\t\t} else {\n\n\t\t\t\treturn 2 * Math.PI / 60 / 60 * scope.autoRotateSpeed;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction getZoomScale( delta ) {\n\n\t\t\tconst normalizedDelta = Math.abs( delta * 0.01 );\n\t\t\treturn Math.pow( 0.95, scope.zoomSpeed * normalizedDelta );\n\n\t\t}\n\n\t\tfunction rotateLeft( angle ) {\n\n\t\t\tsphericalDelta.theta -= angle;\n\n\t\t}\n\n\t\tfunction rotateUp( angle ) {\n\n\t\t\tsphericalDelta.phi -= angle;\n\n\t\t}\n\n\t\tconst panLeft = function () {\n\n\t\t\tconst v = new Vector3();\n\n\t\t\treturn function panLeft( distance, objectMatrix ) {\n\n\t\t\t\tv.setFromMatrixColumn( objectMatrix, 0 ); // get X column of objectMatrix\n\t\t\t\tv.multiplyScalar( - distance );\n\n\t\t\t\tpanOffset.add( v );\n\n\t\t\t};\n\n\t\t}();\n\n\t\tconst panUp = function () {\n\n\t\t\tconst v = new Vector3();\n\n\t\t\treturn function panUp( distance, objectMatrix ) {\n\n\t\t\t\tif ( scope.screenSpacePanning === true ) {\n\n\t\t\t\t\tv.setFromMatrixColumn( objectMatrix, 1 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tv.setFromMatrixColumn( objectMatrix, 0 );\n\t\t\t\t\tv.crossVectors( scope.object.up, v );\n\n\t\t\t\t}\n\n\t\t\t\tv.multiplyScalar( distance );\n\n\t\t\t\tpanOffset.add( v );\n\n\t\t\t};\n\n\t\t}();\n\n\t\t// deltaX and deltaY are in pixels; right and down are positive\n\t\tconst pan = function () {\n\n\t\t\tconst offset = new Vector3();\n\n\t\t\treturn function pan( deltaX, deltaY ) {\n\n\t\t\t\tconst element = scope.domElement;\n\n\t\t\t\tif ( scope.object.isPerspectiveCamera ) {\n\n\t\t\t\t\t// perspective\n\t\t\t\t\tconst position = scope.object.position;\n\t\t\t\t\toffset.copy( position ).sub( scope.target );\n\t\t\t\t\tlet targetDistance = offset.length();\n\n\t\t\t\t\t// half of the fov is center to top of screen\n\t\t\t\t\ttargetDistance *= Math.tan( ( scope.object.fov / 2 ) * Math.PI / 180.0 );\n\n\t\t\t\t\t// we use only clientHeight here so aspect ratio does not distort speed\n\t\t\t\t\tpanLeft( 2 * deltaX * targetDistance / element.clientHeight, scope.object.matrix );\n\t\t\t\t\tpanUp( 2 * deltaY * targetDistance / element.clientHeight, scope.object.matrix );\n\n\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\t// orthographic\n\t\t\t\t\tpanLeft( deltaX * ( scope.object.right - scope.object.left ) / scope.object.zoom / element.clientWidth, scope.object.matrix );\n\t\t\t\t\tpanUp( deltaY * ( scope.object.top - scope.object.bottom ) / scope.object.zoom / element.clientHeight, scope.object.matrix );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// camera neither orthographic nor perspective\n\t\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - pan disabled.' );\n\t\t\t\t\tscope.enablePan = false;\n\n\t\t\t\t}\n\n\t\t\t};\n\n\t\t}();\n\n\t\tfunction dollyOut( dollyScale ) {\n\n\t\t\tif ( scope.object.isPerspectiveCamera || scope.object.isOrthographicCamera ) {\n\n\t\t\t\tscale /= dollyScale;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.' );\n\t\t\t\tscope.enableZoom = false;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction dollyIn( dollyScale ) {\n\n\t\t\tif ( scope.object.isPerspectiveCamera || scope.object.isOrthographicCamera ) {\n\n\t\t\t\tscale *= dollyScale;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.' );\n\t\t\t\tscope.enableZoom = false;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction updateZoomParameters( x, y ) {\n\n\t\t\tif ( ! scope.zoomToCursor ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tperformCursorZoom = true;\n\n\t\t\tconst rect = scope.domElement.getBoundingClientRect();\n\t\t\tconst dx = x - rect.left;\n\t\t\tconst dy = y - rect.top;\n\t\t\tconst w = rect.width;\n\t\t\tconst h = rect.height;\n\n\t\t\tmouse.x = ( dx / w ) * 2 - 1;\n\t\t\tmouse.y = - ( dy / h ) * 2 + 1;\n\n\t\t\tdollyDirection.set( mouse.x, mouse.y, 1 ).unproject( scope.object ).sub( scope.object.position ).normalize();\n\n\t\t}\n\n\t\tfunction clampDistance( dist ) {\n\n\t\t\treturn Math.max( scope.minDistance, Math.min( scope.maxDistance, dist ) );\n\n\t\t}\n\n\t\t//\n\t\t// event callbacks - update the object state\n\t\t//\n\n\t\tfunction handleMouseDownRotate( event ) {\n\n\t\t\trotateStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseDownDolly( event ) {\n\n\t\t\tupdateZoomParameters( event.clientX, event.clientX );\n\t\t\tdollyStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseDownPan( event ) {\n\n\t\t\tpanStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseMoveRotate( event ) {\n\n\t\t\trotateEnd.set( event.clientX, event.clientY );\n\n\t\t\trotateDelta.subVectors( rotateEnd, rotateStart ).multiplyScalar( scope.rotateSpeed );\n\n\t\t\tconst element = scope.domElement;\n\n\t\t\trotateLeft( 2 * Math.PI * rotateDelta.x / element.clientHeight ); // yes, height\n\n\t\t\trotateUp( 2 * Math.PI * rotateDelta.y / element.clientHeight );\n\n\t\t\trotateStart.copy( rotateEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseMoveDolly( event ) {\n\n\t\t\tdollyEnd.set( event.clientX, event.clientY );\n\n\t\t\tdollyDelta.subVectors( dollyEnd, dollyStart );\n\n\t\t\tif ( dollyDelta.y > 0 ) {\n\n\t\t\t\tdollyOut( getZoomScale( dollyDelta.y ) );\n\n\t\t\t} else if ( dollyDelta.y < 0 ) {\n\n\t\t\t\tdollyIn( getZoomScale( dollyDelta.y ) );\n\n\t\t\t}\n\n\t\t\tdollyStart.copy( dollyEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseMovePan( event ) {\n\n\t\t\tpanEnd.set( event.clientX, event.clientY );\n\n\t\t\tpanDelta.subVectors( panEnd, panStart ).multiplyScalar( scope.panSpeed );\n\n\t\t\tpan( panDelta.x, panDelta.y );\n\n\t\t\tpanStart.copy( panEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseWheel( event ) {\n\n\t\t\tupdateZoomParameters( event.clientX, event.clientY );\n\n\t\t\tif ( event.deltaY < 0 ) {\n\n\t\t\t\tdollyIn( getZoomScale( event.deltaY ) );\n\n\t\t\t} else if ( event.deltaY > 0 ) {\n\n\t\t\t\tdollyOut( getZoomScale( event.deltaY ) );\n\n\t\t\t}\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleKeyDown( event ) {\n\n\t\t\tlet needsUpdate = false;\n\n\t\t\tswitch ( event.code ) {\n\n\t\t\t\tcase scope.keys.UP:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateUp( 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( 0, scope.keyPanSpeed );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.BOTTOM:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateUp( - 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( 0, - scope.keyPanSpeed );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.LEFT:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateLeft( 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( scope.keyPanSpeed, 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.RIGHT:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateLeft( - 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( - scope.keyPanSpeed, 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tif ( needsUpdate ) {\n\n\t\t\t\t// prevent the browser from scrolling on cursor keys\n\t\t\t\tevent.preventDefault();\n\n\t\t\t\tscope.update();\n\n\t\t\t}\n\n\n\t\t}\n\n\t\tfunction handleTouchStartRotate( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\trotateStart.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\trotateStart.set( x, y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction handleTouchStartPan( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\tpanStart.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\tpanStart.set( x, y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction handleTouchStartDolly( event ) {\n\n\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\tconst dx = event.pageX - position.x;\n\t\t\tconst dy = event.pageY - position.y;\n\n\t\t\tconst distance = Math.sqrt( dx * dx + dy * dy );\n\n\t\t\tdollyStart.set( 0, distance );\n\n\t\t}\n\n\t\tfunction handleTouchStartDollyPan( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchStartDolly( event );\n\n\t\t\tif ( scope.enablePan ) handleTouchStartPan( event );\n\n\t\t}\n\n\t\tfunction handleTouchStartDollyRotate( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchStartDolly( event );\n\n\t\t\tif ( scope.enableRotate ) handleTouchStartRotate( event );\n\n\t\t}\n\n\t\tfunction handleTouchMoveRotate( event ) {\n\n\t\t\tif ( pointers.length == 1 ) {\n\n\t\t\t\trotateEnd.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\trotateEnd.set( x, y );\n\n\t\t\t}\n\n\t\t\trotateDelta.subVectors( rotateEnd, rotateStart ).multiplyScalar( scope.rotateSpeed );\n\n\t\t\tconst element = scope.domElement;\n\n\t\t\trotateLeft( 2 * Math.PI * rotateDelta.x / element.clientHeight ); // yes, height\n\n\t\t\trotateUp( 2 * Math.PI * rotateDelta.y / element.clientHeight );\n\n\t\t\trotateStart.copy( rotateEnd );\n\n\t\t}\n\n\t\tfunction handleTouchMovePan( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\tpanEnd.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\tpanEnd.set( x, y );\n\n\t\t\t}\n\n\t\t\tpanDelta.subVectors( panEnd, panStart ).multiplyScalar( scope.panSpeed );\n\n\t\t\tpan( panDelta.x, panDelta.y );\n\n\t\t\tpanStart.copy( panEnd );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDolly( event ) {\n\n\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\tconst dx = event.pageX - position.x;\n\t\t\tconst dy = event.pageY - position.y;\n\n\t\t\tconst distance = Math.sqrt( dx * dx + dy * dy );\n\n\t\t\tdollyEnd.set( 0, distance );\n\n\t\t\tdollyDelta.set( 0, Math.pow( dollyEnd.y / dollyStart.y, scope.zoomSpeed ) );\n\n\t\t\tdollyOut( dollyDelta.y );\n\n\t\t\tdollyStart.copy( dollyEnd );\n\n\t\t\tconst centerX = ( event.pageX + position.x ) * 0.5;\n\t\t\tconst centerY = ( event.pageY + position.y ) * 0.5;\n\n\t\t\tupdateZoomParameters( centerX, centerY );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDollyPan( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchMoveDolly( event );\n\n\t\t\tif ( scope.enablePan ) handleTouchMovePan( event );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDollyRotate( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchMoveDolly( event );\n\n\t\t\tif ( scope.enableRotate ) handleTouchMoveRotate( event );\n\n\t\t}\n\n\t\t//\n\t\t// event handlers - FSM: listen for events and reset state\n\t\t//\n\n\t\tfunction onPointerDown( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tif ( pointers.length === 0 ) {\n\n\t\t\t\tscope.domElement.setPointerCapture( event.pointerId );\n\n\t\t\t\tscope.domElement.addEventListener( 'pointermove', onPointerMove );\n\t\t\t\tscope.domElement.addEventListener( 'pointerup', onPointerUp );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\taddPointer( event );\n\n\t\t\tif ( event.pointerType === 'touch' ) {\n\n\t\t\t\tonTouchStart( event );\n\n\t\t\t} else {\n\n\t\t\t\tonMouseDown( event );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onPointerMove( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tif ( event.pointerType === 'touch' ) {\n\n\t\t\t\tonTouchMove( event );\n\n\t\t\t} else {\n\n\t\t\t\tonMouseMove( event );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onPointerUp( event ) {\n\n\t\t\tremovePointer( event );\n\n\t\t\tif ( pointers.length === 0 ) {\n\n\t\t\t\tscope.domElement.releasePointerCapture( event.pointerId );\n\n\t\t\t\tscope.domElement.removeEventListener( 'pointermove', onPointerMove );\n\t\t\t\tscope.domElement.removeEventListener( 'pointerup', onPointerUp );\n\n\t\t\t}\n\n\t\t\tscope.dispatchEvent( _endEvent );\n\n\t\t\tstate = STATE.NONE;\n\n\t\t}\n\n\t\tfunction onMouseDown( event ) {\n\n\t\t\tlet mouseAction;\n\n\t\t\tswitch ( event.button ) {\n\n\t\t\t\tcase 0:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.LEFT;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 1:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.MIDDLE;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.RIGHT;\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tmouseAction = - 1;\n\n\t\t\t}\n\n\t\t\tswitch ( mouseAction ) {\n\n\t\t\t\tcase MOUSE.DOLLY:\n\n\t\t\t\t\tif ( scope.enableZoom === false ) return;\n\n\t\t\t\t\thandleMouseDownDolly( event );\n\n\t\t\t\t\tstate = STATE.DOLLY;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MOUSE.ROTATE:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\thandleMouseDownPan( event );\n\n\t\t\t\t\t\tstate = STATE.PAN;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\thandleMouseDownRotate( event );\n\n\t\t\t\t\t\tstate = STATE.ROTATE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MOUSE.PAN:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\thandleMouseDownRotate( event );\n\n\t\t\t\t\t\tstate = STATE.ROTATE;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\thandleMouseDownPan( event );\n\n\t\t\t\t\t\tstate = STATE.PAN;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t\tif ( state !== STATE.NONE ) {\n\n\t\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onMouseMove( event ) {\n\n\t\t\tswitch ( state ) {\n\n\t\t\t\tcase STATE.ROTATE:\n\n\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleMouseMoveRotate( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.DOLLY:\n\n\t\t\t\t\tif ( scope.enableZoom === false ) return;\n\n\t\t\t\t\thandleMouseMoveDolly( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.PAN:\n\n\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\thandleMouseMovePan( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onMouseWheel( event ) {\n\n\t\t\tif ( scope.enabled === false || scope.enableZoom === false || state !== STATE.NONE ) return;\n\n\t\t\tevent.preventDefault();\n\n\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\thandleMouseWheel( customWheelEvent( event ) );\n\n\t\t\tscope.dispatchEvent( _endEvent );\n\n\t\t}\n\n\t\tfunction customWheelEvent( event ) {\n\n\t\t\tconst mode = event.deltaMode;\n\n\t\t\t// minimal wheel event altered to meet delta-zoom demand\n\t\t\tconst newEvent = {\n\t\t\t\tclientX: event.clientX,\n\t\t\t\tclientY: event.clientY,\n\t\t\t\tdeltaY: event.deltaY,\n\t\t\t}\n\n\t\t\tswitch ( mode ) {\n\n\t\t\t\tcase 1: // LINE_MODE\n\t\t\t\t\tnewEvent.deltaY *= 16;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2: // PAGE_MODE\n\t\t\t\t\tnewEvent.deltaY *= 100;\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\t// detect if event was triggered by pinching\n\t\t\tif ( event.ctrlKey && !controlActive ) {\n\n\t\t\t\tnewEvent.deltaY *= 10;\n\n\t\t\t}\n\n\t\t\treturn newEvent;\n\n\t\t}\n\n\t\tfunction interceptControlDown( event ) {\n\n\t\t\tif ( event.key === \"Control\" ) {\n\n\t\t\t\tcontrolActive = true;\n\t\t\t\t\n\t\t\t\tdocument.addEventListener('keyup', interceptControlUp, { passive: true, capture: true });\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction interceptControlUp( event ) {\n\n\t\t\tif ( event.key === \"Control\" ) {\n\n\t\t\t\tcontrolActive = false;\n\t\t\t\t\n\t\t\t\tdocument.removeEventListener('keyup', interceptControlUp, { passive: true, capture: true });\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onKeyDown( event ) {\n\n\t\t\tif ( scope.enabled === false || scope.enablePan === false ) return;\n\n\t\t\thandleKeyDown( event );\n\n\t\t}\n\n\t\tfunction onTouchStart( event ) {\n\n\t\t\ttrackPointer( event );\n\n\t\t\tswitch ( pointers.length ) {\n\n\t\t\t\tcase 1:\n\n\t\t\t\t\tswitch ( scope.touches.ONE ) {\n\n\t\t\t\t\t\tcase TOUCH.ROTATE:\n\n\t\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartRotate( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_ROTATE;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase TOUCH.PAN:\n\n\t\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartPan( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_PAN;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2:\n\n\t\t\t\t\tswitch ( scope.touches.TWO ) {\n\n\t\t\t\t\t\tcase TOUCH.DOLLY_PAN:\n\n\t\t\t\t\t\t\tif ( scope.enableZoom === false && scope.enablePan === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartDollyPan( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_DOLLY_PAN;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase TOUCH.DOLLY_ROTATE:\n\n\t\t\t\t\t\t\tif ( scope.enableZoom === false && scope.enableRotate === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartDollyRotate( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_DOLLY_ROTATE;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t\tif ( state !== STATE.NONE ) {\n\n\t\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onTouchMove( event ) {\n\n\t\t\ttrackPointer( event );\n\n\t\t\tswitch ( state ) {\n\n\t\t\t\tcase STATE.TOUCH_ROTATE:\n\n\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleTouchMoveRotate( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_PAN:\n\n\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\thandleTouchMovePan( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_DOLLY_PAN:\n\n\t\t\t\t\tif ( scope.enableZoom === false && scope.enablePan === false ) return;\n\n\t\t\t\t\thandleTouchMoveDollyPan( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_DOLLY_ROTATE:\n\n\t\t\t\t\tif ( scope.enableZoom === false && scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleTouchMoveDollyRotate( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onContextMenu( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tevent.preventDefault();\n\n\t\t}\n\n\t\tfunction addPointer( event ) {\n\n\t\t\tpointers.push( event.pointerId );\n\n\t\t}\n\n\t\tfunction removePointer( event ) {\n\n\t\t\tdelete pointerPositions[ event.pointerId ];\n\n\t\t\tfor ( let i = 0; i < pointers.length; i ++ ) {\n\n\t\t\t\tif ( pointers[ i ] == event.pointerId ) {\n\n\t\t\t\t\tpointers.splice( i, 1 );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction trackPointer( event ) {\n\n\t\t\tlet position = pointerPositions[ event.pointerId ];\n\n\t\t\tif ( position === undefined ) {\n\n\t\t\t\tposition = new Vector2();\n\t\t\t\tpointerPositions[ event.pointerId ] = position;\n\n\t\t\t}\n\n\t\t\tposition.set( event.pageX, event.pageY );\n\n\t\t}\n\n\t\tfunction getSecondPointerPosition( event ) {\n\n\t\t\tconst pointerId = ( event.pointerId === pointers[ 0 ] ) ? pointers[ 1 ] : pointers[ 0 ];\n\n\t\t\treturn pointerPositions[ pointerId ];\n\n\t\t}\n\n\t\t//\n\n\t\tscope.domElement.addEventListener( 'contextmenu', onContextMenu );\n\n\t\tscope.domElement.addEventListener( 'pointerdown', onPointerDown );\n\t\tscope.domElement.addEventListener( 'pointercancel', onPointerUp );\n\t\tscope.domElement.addEventListener( 'wheel', onMouseWheel, { passive: false } );\n\n\t\tdocument.addEventListener( 'keydown', interceptControlDown, { passive: true, capture: true } );\n\n\t\t// force an update at start\n\n\t\tthis.update();\n\n\t}\n\n}\n\nexport { OrbitControls };","import { useEffect, useMemo, useRef, useState } from 'react';\nimport type { ChangeEvent, CSSProperties } from 'react';\nimport * as THREE from 'three';\nimport { OrbitControls } from 'three/examples/jsm/controls/OrbitControls.js';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\nconst BASE_LATTICE_SPAN = 24;\nconst DEFAULT_CAMERA_POSITION = new THREE.Vector3(20, 20, 20);\nconst DEFAULT_CAMERA_TARGET = new THREE.Vector3(0, 0, 0);\nconst RESET_DELAY_MS = 5000;\nconst SCENE_BACKGROUND = '#f2f0ea';\n\ninterface ComponentParams {\n gridSize?: number;\n majorRadius?: number;\n minorRadius?: number;\n}\n\ninterface FrameMetrics {\n layout: 'landscape' | 'portrait';\n width: number;\n height: number;\n}\n\nconst clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value));\n\nconst getParamNumber = (value: unknown, fallback: number, min: number, max: number, step = 1) => {\n if (typeof value !== 'number' || Number.isNaN(value)) return fallback;\n const stepped = Math.round(value / step) * step;\n return clamp(stepped, min, max);\n};\n\nfunction setupLights(targetScene: THREE.Scene) {\n const ambientLight = new THREE.AmbientLight(0xffffff, 0.65);\n targetScene.add(ambientLight);\n\n const directionalLight = new THREE.DirectionalLight(0xffffff, 1.1);\n directionalLight.position.set(20, 50, 20);\n directionalLight.castShadow = true;\n directionalLight.shadow.mapSize.width = 2048;\n directionalLight.shadow.mapSize.height = 2048;\n targetScene.add(directionalLight);\n\n const coolLight = new THREE.PointLight(0x3b82f6, 1.1, 50);\n coolLight.position.set(-10, 10, -10);\n targetScene.add(coolLight);\n\n const warmLight = new THREE.PointLight(0xff7a59, 0.9, 50);\n warmLight.position.set(10, -10, 10);\n targetScene.add(warmLight);\n}\n\nfunction disposeMaterial(material: THREE.Material | THREE.Material[]) {\n if (Array.isArray(material)) {\n material.forEach((item) => item.dispose());\n return;\n }\n\n material.dispose();\n}\n\nfunction disposeScene(scene: THREE.Scene) {\n scene.traverse((object) => {\n const mesh = object as THREE.Object3D & {\n geometry?: THREE.BufferGeometry;\n material?: THREE.Material | THREE.Material[];\n };\n\n if (mesh.geometry) {\n mesh.geometry.dispose();\n }\n\n if (mesh.material) {\n disposeMaterial(mesh.material);\n }\n });\n}\n\nexport default function Component({\n config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const params = (config.params ?? {}) as ComponentParams;\n const gridSize = getParamNumber(params.gridSize, 24, 12, 80, 1);\n const majorRadius = getParamNumber(params.majorRadius, 8, 4, 10, 0.5);\n const minorRadius = getParamNumber(params.minorRadius, 3, 1, 5, 0.25);\n\n const [resolution, setResolution] = useState(gridSize);\n const [frame, setFrame] = useState({\n layout: 'landscape',\n width: 0,\n height: 0\n });\n\n const wrapperRef = useRef(null);\n const canvasContainerRef = useRef(null);\n const completedRef = useRef(false);\n\n useEffect(() => {\n const wrapperNode = wrapperRef.current;\n if (!wrapperNode) return;\n\n const updateFrame = () => {\n const availableWidth = wrapperNode.clientWidth;\n const availableHeight = wrapperNode.clientHeight;\n\n if (!availableWidth || !availableHeight) return;\n\n const layout = availableWidth >= availableHeight ? 'landscape' : 'portrait';\n let width = availableWidth;\n let height = availableHeight;\n\n if (layout === 'landscape') {\n height = Math.min(availableHeight, availableWidth * (9 / 16));\n width = height * (16 / 9);\n } else {\n width = Math.min(availableWidth, availableHeight / 2);\n height = width * 2;\n }\n\n setFrame({\n layout,\n width,\n height\n });\n };\n\n const resizeObserver = new ResizeObserver(updateFrame);\n resizeObserver.observe(wrapperNode);\n updateFrame();\n\n return () => {\n resizeObserver.disconnect();\n };\n }, []);\n\n useEffect(() => {\n setResolution(gridSize);\n completedRef.current = false;\n }, [config.id, gridSize, majorRadius, minorRadius]);\n\n const latticeSpan = useMemo(\n () => Math.max(BASE_LATTICE_SPAN, (majorRadius + minorRadius + 1.5) * 2),\n [majorRadius, minorRadius]\n );\n const voxelSize = useMemo(() => latticeSpan / resolution, [latticeSpan, resolution]);\n\n useEffect(() => {\n onProgress?.(resolution === gridSize ? 0 : 100);\n }, [gridSize, onProgress, resolution]);\n\n useEffect(() => {\n if (resolution === gridSize || completedRef.current) return;\n\n completedRef.current = true;\n onComplete({\n success: true,\n score: 100,\n data: {\n configId: config.id,\n completedAt: new Date().toISOString(),\n params: {\n gridSize: resolution,\n majorRadius,\n minorRadius\n }\n }\n });\n }, [config.id, gridSize, majorRadius, minorRadius, onComplete, resolution]);\n\n useEffect(() => {\n const mountNode = canvasContainerRef.current;\n if (!mountNode) return;\n\n const sceneContinuous = new THREE.Scene();\n const sceneDiscrete = new THREE.Scene();\n const backgroundColor = new THREE.Color(SCENE_BACKGROUND);\n\n sceneContinuous.background = backgroundColor;\n sceneContinuous.fog = new THREE.FogExp2(SCENE_BACKGROUND, 0.02);\n sceneDiscrete.background = backgroundColor;\n sceneDiscrete.fog = new THREE.FogExp2(SCENE_BACKGROUND, 0.02);\n\n setupLights(sceneContinuous);\n setupLights(sceneDiscrete);\n\n const camera = new THREE.PerspectiveCamera(45, 1, 0.1, 1000);\n camera.position.copy(DEFAULT_CAMERA_POSITION);\n\n const renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true });\n renderer.shadowMap.enabled = true;\n renderer.shadowMap.type = THREE.PCFSoftShadowMap;\n renderer.setPixelRatio(Math.min(window.devicePixelRatio, 2));\n renderer.setScissorTest(true);\n mountNode.appendChild(renderer.domElement);\n\n const controls = new OrbitControls(camera, renderer.domElement);\n controls.enableDamping = true;\n controls.dampingFactor = 0.05;\n controls.minDistance = 5;\n controls.maxDistance = 100;\n controls.target.copy(DEFAULT_CAMERA_TARGET);\n\n const torusGeometry = new THREE.TorusGeometry(majorRadius, minorRadius, 64, 128);\n const torusMaterial = new THREE.MeshStandardMaterial({\n color: 0x3b82f6,\n roughness: 0.22,\n metalness: 0.1\n });\n const torusMesh = new THREE.Mesh(torusGeometry, torusMaterial);\n torusMesh.castShadow = true;\n torusMesh.receiveShadow = true;\n torusMesh.rotation.x = -Math.PI / 2;\n sceneContinuous.add(torusMesh);\n\n const voxelGap = voxelSize * 0.12;\n const voxelEdge = Math.max(voxelSize - voxelGap, voxelSize * 0.2);\n const voxelGeometry = new THREE.BoxGeometry(voxelEdge, voxelEdge, voxelEdge);\n const solidMaterial = new THREE.MeshStandardMaterial({\n color: 0x3b82f6,\n roughness: 0.22,\n metalness: 0.1\n });\n const emptyMaterial = new THREE.MeshBasicMaterial({\n color: 0x000000,\n transparent: true,\n opacity: 0.08,\n wireframe: true\n });\n\n const totalVoxels = Math.pow(resolution, 3);\n const solidMesh = new THREE.InstancedMesh(voxelGeometry, solidMaterial, totalVoxels);\n const emptyMesh = new THREE.InstancedMesh(voxelGeometry, emptyMaterial, totalVoxels);\n const voxelOffset = ((resolution - 1) * voxelSize) / 2;\n const dummy = new THREE.Object3D();\n\n solidMesh.castShadow = true;\n solidMesh.receiveShadow = true;\n sceneDiscrete.add(solidMesh);\n sceneDiscrete.add(emptyMesh);\n\n let solidCount = 0;\n let emptyCount = 0;\n\n for (let x = 0; x < resolution; x += 1) {\n for (let y = 0; y < resolution; y += 1) {\n for (let z = 0; z < resolution; z += 1) {\n const px = x * voxelSize - voxelOffset;\n const py = y * voxelSize - voxelOffset;\n const pz = z * voxelSize - voxelOffset;\n const distHorizontal = Math.sqrt(px * px + pz * pz) - majorRadius;\n const distSquared = distHorizontal * distHorizontal + py * py;\n const isSolid = distSquared < minorRadius * minorRadius;\n\n dummy.position.set(px, py, pz);\n dummy.updateMatrix();\n\n if (isSolid) {\n solidMesh.setMatrixAt(solidCount, dummy.matrix);\n const color = new THREE.Color();\n const hue = 0.52 + (py / Math.max(resolution, 1)) * 0.18;\n color.setHSL(hue, 0.78, 0.52);\n solidMesh.setColorAt(solidCount, color);\n solidCount += 1;\n continue;\n }\n\n emptyMesh.setMatrixAt(emptyCount, dummy.matrix);\n emptyCount += 1;\n }\n }\n }\n\n solidMesh.count = solidCount;\n emptyMesh.count = emptyCount;\n solidMesh.instanceMatrix.needsUpdate = true;\n emptyMesh.instanceMatrix.needsUpdate = true;\n if (solidMesh.instanceColor) {\n solidMesh.instanceColor.needsUpdate = true;\n }\n\n const targetCameraPosition = DEFAULT_CAMERA_POSITION.clone();\n const targetControlsPosition = DEFAULT_CAMERA_TARGET.clone();\n let animateCamera = false;\n let resetTimer: number | null = null;\n let width = 0;\n let height = 0;\n\n const resize = () => {\n width = mountNode.clientWidth;\n height = mountNode.clientHeight;\n\n if (!width || !height) return;\n\n camera.aspect = 1;\n camera.updateProjectionMatrix();\n renderer.setSize(width, height, false);\n };\n\n const resizeObserver = new ResizeObserver(resize);\n resizeObserver.observe(mountNode);\n resize();\n\n const handleControlsStart = () => {\n animateCamera = false;\n if (resetTimer !== null) {\n window.clearTimeout(resetTimer);\n resetTimer = null;\n }\n };\n\n const handleControlsEnd = () => {\n resetTimer = window.setTimeout(() => {\n animateCamera = true;\n }, RESET_DELAY_MS);\n };\n\n controls.addEventListener('start', handleControlsStart);\n controls.addEventListener('end', handleControlsEnd);\n\n let animationFrame = 0;\n\n const renderFrame = () => {\n animationFrame = window.requestAnimationFrame(renderFrame);\n\n if (animateCamera) {\n camera.position.lerp(targetCameraPosition, 0.05);\n controls.target.lerp(targetControlsPosition, 0.05);\n\n if (\n camera.position.distanceTo(targetCameraPosition) < 0.1 &&\n controls.target.distanceTo(targetControlsPosition) < 0.1\n ) {\n animateCamera = false;\n }\n }\n\n torusMesh.rotation.z += 0.002;\n solidMesh.rotation.y += 0.002;\n emptyMesh.rotation.y += 0.002;\n emptyMesh.visible = false;\n\n controls.update();\n\n if (!width || !height) return;\n\n const isLandscape = width >= height;\n const squareSize = isLandscape ? Math.min(width / 2, height) : Math.min(width, height / 2);\n const startX = isLandscape ? (width - squareSize * 2) / 2 : (width - squareSize) / 2;\n const startY = isLandscape ? (height - squareSize) / 2 : (height - squareSize * 2) / 2;\n\n const continuousX = startX;\n const continuousY = isLandscape ? startY : startY + squareSize;\n const discreteX = isLandscape ? startX + squareSize : startX;\n const discreteY = startY;\n\n renderer.setScissor(continuousX, continuousY, squareSize, squareSize);\n renderer.setViewport(continuousX, continuousY, squareSize, squareSize);\n renderer.render(sceneContinuous, camera);\n\n renderer.setScissor(discreteX, discreteY, squareSize, squareSize);\n renderer.setViewport(discreteX, discreteY, squareSize, squareSize);\n renderer.render(sceneDiscrete, camera);\n };\n\n renderFrame();\n\n return () => {\n window.cancelAnimationFrame(animationFrame);\n if (resetTimer !== null) {\n window.clearTimeout(resetTimer);\n }\n resizeObserver.disconnect();\n controls.removeEventListener('start', handleControlsStart);\n controls.removeEventListener('end', handleControlsEnd);\n controls.dispose();\n renderer.dispose();\n disposeScene(sceneContinuous);\n disposeScene(sceneDiscrete);\n mountNode.removeChild(renderer.domElement);\n };\n }, [majorRadius, minorRadius, resolution, voxelSize]);\n\n const cssVars = useMemo(\n () =>\n ({\n '--gc-primary': theme?.primary ?? 'var(--color-primary, #45c4b0)',\n '--gc-accent': theme?.accent ?? 'var(--color-accent, #ff7a59)',\n '--gc-bg': theme?.bg ?? 'var(--color-bg, #0d1117)',\n '--gc-bg-secondary': theme?.bgSecondary ?? 'var(--color-bg-secondary, #182237)',\n '--gc-text': theme?.text ?? 'var(--color-text, #f1f4ef)',\n '--gc-text-muted': theme?.textMuted ?? 'var(--color-text-muted, #b6c0d4)',\n '--gc-border': theme?.border ?? 'var(--color-border, #34516f)'\n }) as CSSProperties,\n [theme]\n );\n\n const handleResolutionChange = (event: ChangeEvent) => {\n setResolution(Number(event.target.value));\n };\n\n return (\n
\n \n
\n
\n
Continuous
\n
Discrete
\n
\n
\n \n
\n
\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'voxel_universe',\n displayName: 'Voxel Universe',\n version: '1.0.0',\n paramSchema: {\n gridSize: {\n type: 'range',\n label: 'Voxel Resolution',\n description: 'How many voxels are used per axis. Higher values make each voxel smaller.',\n default: 24,\n min: 12,\n max: 80,\n step: 1\n },\n majorRadius: {\n type: 'range',\n label: 'Major Radius',\n description: 'Overall radius of the torus shape.',\n default: 8,\n min: 4,\n max: 10,\n step: 0.5\n },\n minorRadius: {\n type: 'range',\n label: 'Minor Radius',\n description: 'Thickness of the torus ring.',\n default: 3,\n min: 1,\n max: 5,\n step: 0.25\n }\n },\n defaultParams: {\n gridSize: 24,\n majorRadius: 8,\n minorRadius: 3\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult,\n GlitchTheme,\n GlitchComponentMetadata\n} from 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.fullscreen-split{align-content:center;gap:.9rem;grid-template-columns:1fr;grid-template-rows:minmax(0,1fr) minmax(0,1.5fr)}@media (prefers-reduced-motion: reduce){*,*:before,*:after{animation-duration:.01ms!important;animation-iteration-count:1!important;transition-duration:.01ms!important;scroll-behavior:auto!important}} diff --git a/dist/vendor/gnommoplayer.js b/dist/vendor/gnommoplayer.js new file mode 100644 index 0000000..9133b5c --- /dev/null +++ b/dist/vendor/gnommoplayer.js @@ -0,0 +1,2425 @@ +var ct = Object.defineProperty; +var at = (t, r, e) => r in t ? ct(t, r, { enumerable: !0, configurable: !0, writable: !0, value: e }) : t[r] = e; +var Ae = (t, r, e) => at(t, typeof r != "symbol" ? r + "" : r, e); +import { jsxs as f, jsx as l } from "react/jsx-runtime"; +import { Component as ot, useState as q, useEffect as y, useRef as O } from "react"; +function fe(t) { + return t === "mobile-portrait" ? "horizontal" : "vertical"; +} +function nt({ + baselineIndex: t, + dragDistance: r, + totalCandidates: e, + dragSpan: i +}) { + if (e <= 1) + return 0; + const c = Math.max(i, 120), a = c * 0.25, n = Math.abs(r), u = Math.sign(r), s = n < a ? 0 : u * (1 + Math.floor((n - a) / c)), d = t + s; + return Math.min(e - 1, Math.max(0, d)); +} +function ut(t, r) { + return !!(t && r && t !== r); +} +function dt({ + candidates: t, + displayMode: r, + activeGlitchSlide: e, + isInspecting: i, + isDragging: c, + viewportMode: a +}) { + if (t.length <= 1) + return null; + const n = t.findIndex( + (u) => u.id === e.id + ); + return /* @__PURE__ */ f( + "div", + { + className: `carousel-hud ${i ? "carousel-hud--inspect" : ""}`, + "aria-live": "polite", + children: [ + /* @__PURE__ */ l("div", { className: "carousel-hud__track", "aria-label": "Glitch slide candidates", children: t.map((u, s) => /* @__PURE__ */ l( + "span", + { + className: `carousel-hud__dot ${u.id === e.id ? "carousel-hud__dot--active" : ""}`, + title: `${u.id} (${Math.round(u.score * 100)} score)`, + children: s + 1 + }, + u.id + )) }), + i ? /* @__PURE__ */ f("div", { className: "carousel-hud__detail", children: [ + /* @__PURE__ */ f("div", { className: "carousel-hud__header", children: [ + /* @__PURE__ */ l("span", { children: r === "fullscreen" ? "Fullscreen" : "Square" }), + /* @__PURE__ */ l("span", { children: c ? "Browsing alternates" : "Inspecting" }) + ] }), + e.authorName ? /* @__PURE__ */ f("p", { className: "carousel-hud__author", children: [ + "By ", + e.authorName + ] }) : null, + /* @__PURE__ */ f("div", { className: "carousel-hud__footer", children: [ + /* @__PURE__ */ l("strong", { children: e.id }), + /* @__PURE__ */ f("span", { children: [ + n + 1, + "/", + t.length + ] }) + ] }) + ] }) : null + ] + } + ); +} +function pt({ + pauseMode: t, + pendingVote: r, + onResume: e, + onPause: i +}) { + const c = t === "playing", a = c ? "Pause playback" : r ? "Resume playback and record vote" : "Resume playback"; + return /* @__PURE__ */ l("div", { className: "resume-control", children: /* @__PURE__ */ l( + "button", + { + type: "button", + className: "resume-control__button", + "aria-label": a, + title: a, + onClick: c ? i : e, + children: /* @__PURE__ */ l( + "span", + { + className: `resume-control__icon ${c ? "resume-control__icon--pause" : "resume-control__icon--play"}`, + "aria-hidden": "true" + } + ) + } + ) }); +} +const Re = /* @__PURE__ */ new Map(), Ir = { + ChartSingle: () => Promise.resolve().then(() => Bt), + DefinitionCard: () => Promise.resolve().then(() => Yt), + EquationFocus: () => Promise.resolve().then(() => Xt), + FullscreenSplit: () => Promise.resolve().then(() => Zt), + FullscreenVideo: () => Promise.resolve().then(() => Ct), + FullscreenVideoCenterCaption: () => Promise.resolve().then(() => er), + FullscreenVideoTitle: () => Promise.resolve().then(() => lr), + GlitchComponentFrame: () => Promise.resolve().then(() => nr), + ProcessFlow: () => Promise.resolve().then(() => pr), + QuoteImage: () => Promise.resolve().then(() => fr), + SquareVideo: () => Promise.resolve().then(() => Sr), + SquareYellow: () => Promise.resolve().then(() => br) +}; +function Je(t, r) { + const e = Re.get(r); + if (e) + return e; + const i = t[r]; + if (!i) + return Promise.reject(new Error(`Unknown slide component: ${r}`)); + const c = i(); + return Re.set(r, c), c; +} +async function je(t, r) { + const e = /* @__PURE__ */ new Set(); + r.forEach((i) => { + i.glitchSlides.forEach((c) => { + e.add(c.componentKey); + }); + }), await Promise.allSettled( + [...e].map( + (i) => Je(t, i) + ) + ); +} +class mt extends ot { + constructor() { + super(...arguments); + Ae(this, "state", { + hasError: !1 + }); + } + static getDerivedStateFromError() { + return { + hasError: !0 + }; + } + componentDidCatch(e, i) { + console.error("Slide runtime crashed", e, i); + } + componentDidUpdate(e) { + e.children !== this.props.children && this.state.hasError && this.setState({ hasError: !1 }); + } + render() { + return this.state.hasError ? this.props.fallback : this.props.children; + } +} +function te({ reason: t }) { + return /* @__PURE__ */ f("article", { className: "fallback-slide", children: [ + /* @__PURE__ */ l("p", { className: "eyebrow", children: "Fallback slide" }), + /* @__PURE__ */ l("h3", { children: "Component unavailable" }), + /* @__PURE__ */ l("p", { children: "The player kept running even though this candidate could not render." }), + t ? /* @__PURE__ */ l("code", { children: t }) : null + ] }); +} +function he({ + lectureId: t, + slide: r, + glitchSlide: e, + slideRegistry: i, + paused: c, + onMediaLoadingChange: a +}) { + const [n, u] = q(null), [s, d] = q(null); + y(() => { + let v = !1; + return d(null), u(null), Je(i, e.componentKey).then((S) => { + v || (d(null), u(() => S.default)); + }).catch((S) => { + v || (u(null), d( + S instanceof Error ? S.message : "Failed to load slide component." + )); + }), () => { + v = !0; + }; + }, [e.componentKey, i]); + const P = { + lectureId: t, + slideId: r.id, + glitchSlideId: e.id, + displayMode: r.displayMode, + props: e.props, + latexString: e.latexString, + paused: c, + onMediaLoadingChange: a + }; + return /* @__PURE__ */ l(mt, { fallback: /* @__PURE__ */ l(te, { reason: s }), children: n ? /* @__PURE__ */ l(n, { ...P }) : s ? /* @__PURE__ */ l(te, { reason: s }) : /* @__PURE__ */ l(te, { reason: "Loading candidate module..." }) }); +} +function ft({ + lectureId: t, + slide: r, + glitchSlide: e, + candidates: i, + slideRegistry: c, + paused: a, + isInspecting: n, + isSettling: u, + viewportMode: s, + dragBaselineGlitchSlideId: d, + dragOffsetPx: P, + onMediaLoadingChange: v +}) { + const S = fe(s), b = i.findIndex( + (E) => E.id === e.id + ), N = i.findIndex( + (E) => E.id === d + ), _ = i.length > 1, A = n && N !== -1 ? N : Math.max(b, 0), j = n ? P : 0, V = S === "horizontal" ? `translate3d(calc(${-A * 100}% + ${j}px), 0, 0)` : `translate3d(0, calc(${-A * 100}% + ${j}px), 0)`; + return /* @__PURE__ */ l( + "div", + { + className: `slide-host slide-host--${r.displayMode} ${n ? "slide-host--inspect" : ""}`, + "data-testid": `slide-host-${r.displayMode}`, + children: _ ? /* @__PURE__ */ l("div", { className: "slide-host__viewport", children: /* @__PURE__ */ l( + "div", + { + className: `slide-host__track slide-host__track--${S} ${u ? "slide-host__track--settling" : ""}`, + style: { transform: V }, + children: i.map((E) => /* @__PURE__ */ l( + "div", + { + className: `slide-host__item ${E.id === e.id ? "slide-host__item--active" : ""}`, + children: /* @__PURE__ */ l( + he, + { + lectureId: t, + slide: r, + glitchSlide: E, + slideRegistry: c, + paused: a || E.id !== e.id, + onMediaLoadingChange: E.id === e.id ? v : void 0 + } + ) + }, + E.id + )) + } + ) }) : /* @__PURE__ */ l( + he, + { + lectureId: t, + slide: r, + glitchSlide: e, + slideRegistry: c, + paused: a, + onMediaLoadingChange: v + } + ) + } + ); +} +function Ue(t, r) { + return Math.min(r, Math.max(0, t)); +} +function ht(t, r) { + for (const e of t) + if (r >= e.startTimeSec && r < e.startTimeSec + e.durationSec) + return e; + return t[t.length - 1] ?? null; +} +function St(t, r) { + const e = t.findIndex((i) => i.id === r); + return e === -1 ? null : t[e + 1] ?? null; +} +function yt(t, r) { + return Math.min( + t.durationSec, + Math.max(0, r - t.startTimeSec) + ); +} +function bt(t, r, e) { + var a; + const i = t.findIndex((n) => n.id === r); + if (i === -1) + return e; + const c = t[i]; + return c.endTimeSec != null ? c.endTimeSec : ((a = t[i + 1]) == null ? void 0 : a.startTimeSec) ?? e; +} +function Se(t, r, e) { + for (const i of t) { + if (i.startTimeSec == null) + continue; + const c = bt(t, i.id, e); + if (r >= i.startTimeSec && r < c) + return i; + } + return null; +} +function ve(t, r) { + const e = t.glitchSlides.filter( + (c) => c.orientation === r + ); + if (e.length > 0) + return e; + const i = t.glitchSlides.filter( + (c) => !c.orientation || c.orientation === "any" + ); + return i.length > 0 ? i : t.glitchSlides; +} +function _e(t, r, e) { + const i = ve(t, r); + if (e) { + const a = i.find( + (n) => n.id === e + ); + if (a) + return a; + } + return [...i].sort( + (a, n) => n.score - a.score + )[0]; +} +function vt(t, r, e, i) { + const c = Se(t, r, e), a = c ? t.findIndex((n) => n.id === c.id) : -1; + return t.slice(a + 1, a + 1 + i); +} +function Ke(t, r) { + try { + const e = t.play(); + e && typeof e.catch == "function" && e.catch(() => { + r(); + }); + } catch { + r(); + } +} +function _t({ + segment: t, + nextSegment: r, + globalTimeSec: e, + lectureDurationSec: i, + pauseMode: c, + viewportMode: a, + onGlobalTimeChange: n, + onSegmentError: u, + onAutoplayBlocked: s, + onTogglePlayback: d +}) { + const P = O(null), v = O(0), S = t ? yt(t, e) : 0; + return y(() => { + const b = P.current; + if (!b || !t) + return; + Math.abs(b.currentTime - S) > 0.45 && (b.currentTime = S, v.current = S); + }, [S, t == null ? void 0 : t.id]), y(() => { + const b = P.current; + if (b) { + if (c === "playing") { + Ke(b, s); + return; + } + b.pause(); + } + }, [s, c, t == null ? void 0 : t.id]), t ? /* @__PURE__ */ f("div", { className: `video-stage video-stage--${a}`, children: [ + /* @__PURE__ */ f( + "div", + { + className: "video-stage__window", + role: "button", + tabIndex: 0, + "aria-label": c === "playing" ? "Pause video" : "Resume video", + onClick: d, + onKeyDown: (b) => { + (b.key === " " || b.key === "Enter") && (b.preventDefault(), d()); + }, + children: [ + /* @__PURE__ */ l( + "video", + { + ref: P, + className: "video-stage__video", + preload: "auto", + autoPlay: !0, + muted: !0, + playsInline: !0, + controls: !1, + poster: t.poster, + src: t.src, + onLoadedMetadata: (b) => { + const N = b.currentTarget; + N.currentTime = S, v.current = S, c === "playing" && Ke(N, s); + }, + onTimeUpdate: (b) => { + const N = b.currentTarget, _ = Math.min(N.currentTime, t.durationSec); + v.current = _, n(t.startTimeSec + _), _ >= t.durationSec - 0.08 && t.startTimeSec + t.durationSec < i && n(t.startTimeSec + t.durationSec); + }, + onEnded: () => { + n(t.startTimeSec + t.durationSec); + }, + onError: () => { + u(`Failed to load ${t.id}. 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"End of lecture" }) + ] }) + ] }) : /* @__PURE__ */ l("div", { className: `video-stage video-stage--${a}`, children: /* @__PURE__ */ f("div", { className: "video-stage__placeholder", children: [ + /* @__PURE__ */ l("p", { className: "eyebrow", children: "Video pending" }), + /* @__PURE__ */ l("p", { children: "No active segment is available at this lecture time." }) + ] }) }); +} +function B(t, r) { + console.log("[player-event]", r), t == null || t(r); +} +const ze = /* @__PURE__ */ new Set(); +function ye(t) { + if (typeof document > "u" || ze.has(t.id)) + return; + const r = document.createElement("video"); + r.preload = "metadata", r.src = t.src, ze.add(t.id); +} +function xt(t) { + t.forEach((r) => { + ye(r); + }); +} +function qr() { + return typeof crypto < "u" && "randomUUID" in crypto ? crypto.randomUUID() : `sess-${Math.random().toString(36).slice(2, 10)}`; +} +function Be(t) { + var e; + if (typeof navigator > "u") + return { + viewportMode: t, + userAgent: "server", + platform: "server" + }; + const r = navigator; + return { + viewportMode: t, + userAgent: navigator.userAgent, + platform: ((e = r.userAgentData) == null ? void 0 : e.platform) ?? navigator.platform + }; +} +const wt = 220, Nt = 1600; +function me(t, r) { + return `${t}:${r}`; +} +function He(t, r) { + return t <= 900 ? r >= t ? "mobile-portrait" : "mobile-landscape" : "desktop"; +} +function Ye(t, r, e) { + const i = Qe( + t, + r, + e + ); + return !i || i.startTimeSec == null ? 0 : i.startTimeSec; +} +function Qe(t, r, e) { + return r ? t.slides.find((i) => i.id === r) ?? null : typeof e == "number" && e >= 0 && e < t.slides.length ? t.slides[e] : null; +} +function Xe({ + presentation: t, + slideRegistry: r, + mode: e = "playback", + targetSlideId: i, + targetSlideIndex: c, + onEvent: a, + onVoteCommit: n, + initialSessionId: u +}) { + const s = t, [d, P] = q( + () => Ye(s, i, c) + ), [v, S] = q( + e === "slide-preview" + ), [b, N] = q({}), [_, A] = q(null), [j, V] = q(!1), [E, re] = q(null), [le, xe] = q(!1), [$, Q] = q(!1), [Ze, ie] = q(!1), [we, Me] = q(null), [D, Ce] = q( + () => typeof window > "u" || typeof document > "u" ? "desktop" : He( + document.documentElement.clientWidth, + document.documentElement.clientHeight + ) + ), [Ne] = q( + () => u ?? `sess-${Math.random().toString(36).slice(2, 10)}` + ), [U, g] = q({ + isScrubbing: !1, + previewTimeSec: 0, + resumeWasManuallyPaused: !1 + }), [h, Y] = q({ + pointerId: null, + startX: 0, + startY: 0, + dragSpan: 320, + dragOffsetPx: 0, + isSettling: !1, + resumeWasManuallyPaused: !1, + baselineGlitchSlideId: null, + previewGlitchSlideId: null + }), [Le, Pe] = q(!0), Ie = O(null), se = O(null), ce = O(null), qe = O(!1), k = O(null), W = O(null), G = ht(s.segments, d), Z = G ? St(s.segments, G.id) : null, p = (e === "slide-preview" ? Qe(s, i, c) : null) ?? Se(s.slides, d, s.durationSec), K = p ? ve(p, D) : [], et = p ? b[me(p.id, D)] : void 0, I = p ? _e(p, D, et) : null, x = (p ? K.find( + (o) => o.id === h.previewGlitchSlideId + ) ?? null : null) ?? I, J = v ? "full-paused" : U.isScrubbing || $ || h.isSettling || Ze ? "soft-paused" : "playing", ae = U.isScrubbing ? U.previewTimeSec : d, oe = Se( + s.slides, + ae, + s.durationSec + ), Te = $ || h.isSettling, tt = v || U.isScrubbing || $ || h.isSettling || Le, rt = (p == null ? void 0 : p.displayMode) === "fullscreen", Fe = (p == null ? void 0 : p.displayMode) === "square" && x && (x.componentKey === "SquareYellow" || x.componentKey === "SquareVideo") && typeof x.props.header == "string" ? x.props.header : null; + p && b[me(p.id, D)], y(() => { + const o = Ie.current; + if (!o || typeof ResizeObserver > "u") + return; + const m = new ResizeObserver((w) => { + const z = w[0]; + z && Ce( + He(z.contentRect.width, z.contentRect.height) + ); + }); + return m.observe(o), () => { + m.disconnect(); + }; + }, []), y(() => { + const o = Ye( + s, + i, + c + ); + P(o), S(e === "slide-preview"), V(!1), re(null), A(null), ie(!1); + }, [s.id, s.slides, e, i, c]), y(() => { + ie(!1); + }, [p == null ? void 0 : p.id, x == null ? void 0 : x.id]), y(() => { + B(a, { + type: "lecture_loaded", + lectureId: s.id + }); + }, [s.id, a]), y(() => { + G && (ye(G), Z && ye(Z)); + }, [G, Z]), y(() => { + xt(s.segments.slice(0, 2)); + }, [s.segments]), y(() => { + if (!p) + return; + je(r, [p]); + const o = vt( + s.slides, + d, + s.durationSec, + 2 + ); + je(r, o); + }, [p, d, s.durationSec, s.slides, r]), y(() => { + if (!G) { + se.current = null; + return; + } + se.current !== G.id && (se.current = G.id, B(a, { + type: "segment_changed", + lectureId: s.id, + segmentId: G.id, + atSec: Number(d.toFixed(2)) + })); + }, [G, d, s.id, a]), y(() => { + const o = p && x ? `${p.id}:${x.id}` : null; + if (!o) { + ce.current = null; + return; + } + ce.current !== o && (p && x && B(a, { + type: "slide_activated", + lectureId: s.id, + slideId: p.id, + glitchSlideId: x.id, + atSec: Number(d.toFixed(2)) + }), ce.current = o); + }, [x, p, d, s.id, a]), y(() => { + Y((o) => ({ + ...o, + dragOffsetPx: 0, + isSettling: !1, + baselineGlitchSlideId: (I == null ? void 0 : I.id) ?? null, + previewGlitchSlideId: null + })), Q(!1); + }, [p == null ? void 0 : p.id]), y(() => { + h.pointerId !== null || h.isSettling || $ || Y((o) => ({ + ...o, + baselineGlitchSlideId: (I == null ? void 0 : I.id) ?? null, + previewGlitchSlideId: null + })); + }, [ + I == null ? void 0 : I.id, + h.pointerId, + h.isSettling, + $ + ]), y(() => { + const o = (m) => { + if (m.key !== " " && m.key.toLowerCase() !== "k") + return; + const w = document.activeElement; + w && ["INPUT", "TEXTAREA", "BUTTON"].includes(w.tagName) || (m.preventDefault(), J === "playing" ? S(!0) : de()); + }; + return window.addEventListener("keydown", o), () => { + window.removeEventListener("keydown", o); + }; + }, [J, _, p, x, d]), y(() => () => { + k.current !== null && window.clearTimeout(k.current), W.current !== null && window.clearTimeout(W.current); + }, []); + function H() { + Pe(!0), W.current !== null && (window.clearTimeout(W.current), W.current = null), !(v || U.isScrubbing || $ || h.isSettling) && (W.current = window.setTimeout(() => { + Pe(!1), W.current = null; + }, Nt)); + } + y(() => { + H(); + }, [v, U.isScrubbing, $, h.isSettling]); + function ne(o) { + P(Ue(o, s.durationSec)); + } + function $e() { + H(), V(!1), S(!0), g({ + isScrubbing: !0, + previewTimeSec: d, + resumeWasManuallyPaused: v + }); + } + function lt(o) { + const m = Ue(Number(o), s.durationSec); + g((w) => ({ + ...w, + previewTimeSec: m + })), ne(m); + } + function M() { + g((o) => ({ + ...o, + isScrubbing: !1 + })); + } + function De(o) { + H(), V(!1), S(!0), k.current !== null && (window.clearTimeout(k.current), k.current = null), Q(!1), g((m) => ({ + ...m, + isScrubbing: !1, + previewTimeSec: o + })), Y((m) => ({ + ...m, + pointerId: null, + dragOffsetPx: 0, + isSettling: !1, + previewGlitchSlideId: null + })), ne(o); + } + function X() { + k.current !== null && (window.clearTimeout(k.current), k.current = null), Y((o) => ({ + ...o, + pointerId: null, + dragOffsetPx: 0, + isSettling: !1, + previewGlitchSlideId: null + })), Q(!1); + } + function Oe(o, m) { + k.current !== null && window.clearTimeout(k.current), Q(!1), Y((w) => ({ + ...w, + pointerId: null, + dragOffsetPx: o, + isSettling: !0 + })), k.current = window.setTimeout(() => { + k.current = null, m(); + }, wt); + } + function it(o) { + if (!p || !I) + return; + H(), V(!1); + const m = o.currentTarget.getBoundingClientRect(); + typeof o.currentTarget.setPointerCapture == "function" && o.currentTarget.setPointerCapture(o.pointerId); + const w = fe(D); + Y({ + pointerId: o.pointerId, + startX: o.clientX, + startY: o.clientY, + dragSpan: Math.max(w === "horizontal" ? m.width : m.height, 240), + dragOffsetPx: 0, + isSettling: !1, + resumeWasManuallyPaused: v, + baselineGlitchSlideId: I.id, + previewGlitchSlideId: null + }); + } + function st(o) { + if (!p || h.pointerId !== o.pointerId) + return; + const m = fe(D), w = o.clientX - h.startX, z = o.clientY - h.startY, R = m === "horizontal" ? w : z; + if (!$ && Math.abs(R) < 24) + return; + H(), $ || (Q(!0), h.resumeWasManuallyPaused || B(a, { + type: "soft_pause_started", + lectureId: s.id, + slideId: p.id, + atSec: Number(d.toFixed(2)) + })); + const T = K.findIndex( + (pe) => pe.id === h.baselineGlitchSlideId + ), C = Math.min( + Math.max( + R, + -(K.length - 1 - Math.max(T, 0)) * h.dragSpan + ), + Math.max(T, 0) * h.dragSpan + ), L = nt({ + baselineIndex: T === -1 ? 0 : T, + dragDistance: -C, + totalCandidates: K.length, + dragSpan: h.dragSpan + }), F = K[L]; + F && F.id !== h.previewGlitchSlideId && F.id !== h.baselineGlitchSlideId && B(a, { + type: "glitch_slide_changed", + lectureId: s.id, + slideId: p.id, + from: h.previewGlitchSlideId ?? h.baselineGlitchSlideId ?? F.id, + to: F.id, + atSec: Number(d.toFixed(2)) + }), Y((pe) => ({ + ...pe, + dragOffsetPx: C, + previewGlitchSlideId: (F == null ? void 0 : F.id) ?? null + })); + } + function ue(o) { + if (!p || h.pointerId !== o) { + X(); + return; + } + const m = h.previewGlitchSlideId ?? h.baselineGlitchSlideId ?? (I == null ? void 0 : I.id) ?? null, w = h.baselineGlitchSlideId ?? (I == null ? void 0 : I.id) ?? null, z = ut( + w, + m + ); + if (!$) { + if (p.displayMode === "fullscreen") { + X(), ke(); + return; + } + X(); + return; + } + if (!z) { + const R = h.resumeWasManuallyPaused; + Oe(0, () => { + R || B(a, { + type: "soft_pause_ended", + lectureId: s.id, + slideId: p.id, + atSec: Number(d.toFixed(2)) + }), R || A(null), X(); + }); + return; + } + if (w && m) { + N((F) => ({ + ...F, + [me(p.id, D)]: m + })); + const R = K.findIndex( + (F) => F.id === w + ), T = K.findIndex( + (F) => F.id === m + ), C = R === -1 || T === -1 ? 0 : (R - T) * h.dragSpan, L = h.resumeWasManuallyPaused; + Oe(C, () => { + L || B(a, { + type: "soft_pause_ended", + lectureId: s.id, + slideId: p.id, + atSec: Number(d.toFixed(2)) + }), L || A(null), X(); + }); + } + } + async function de() { + if (V(!1), _) { + const o = { + lectureId: _.lectureId, + slideId: _.slideId, + previousGlitchSlideId: _.previousGlitchSlideId, + selectedGlitchSlideId: _.selectedGlitchSlideId, + sessionId: Ne, + timestamp: (/* @__PURE__ */ new Date()).toISOString(), + deviceContext: Be(D) + }; + await (n == null ? void 0 : n(o)), B(a, { + type: "vote_committed", + lectureId: o.lectureId, + slideId: o.slideId, + selectedGlitchSlideId: o.selectedGlitchSlideId, + previousGlitchSlideId: o.previousGlitchSlideId, + atSec: Number(d.toFixed(2)) + }), A(null); + } + S(!1); + } + async function Ee(o) { + if (!p || !x || le) + return; + xe(!0), re(o); + const m = { + lectureId: s.id, + slideId: p.id, + previousGlitchSlideId: x.id, + selectedGlitchSlideId: x.id, + voteDirection: o, + sessionId: Ne, + timestamp: (/* @__PURE__ */ new Date()).toISOString(), + deviceContext: Be(D) + }; + try { + await (n == null ? void 0 : n(m)), B(a, { + type: "vote_committed", + lectureId: m.lectureId, + slideId: m.slideId, + selectedGlitchSlideId: m.selectedGlitchSlideId, + previousGlitchSlideId: m.previousGlitchSlideId, + voteDirection: o, + atSec: Number(d.toFixed(2)) + }); + } finally { + xe(!1); + } + } + function ke() { + if (H(), J === "playing") { + S(!0), re(null), V(!0); + return; + } + v && de(); + } + function Ve(o) { + return !j || !p || !x || p.displayMode !== o ? null : /* @__PURE__ */ l( + "div", + { + className: `lecture-player__vote-overlay lecture-player__vote-overlay--${o}`, + role: "dialog", + "aria-label": "Vote on slide", + onClick: (m) => m.stopPropagation(), + children: /* @__PURE__ */ f("div", { className: "lecture-player__vote-panel", children: [ + /* @__PURE__ */ l("p", { className: "lecture-player__vote-label", children: "Rate This Slide" }), + /* @__PURE__ */ f("div", { className: "lecture-player__vote-actions", children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `lecture-player__vote-button ${E === "up" ? "lecture-player__vote-button--active" : ""}`, + onClick: (m) => { + m.stopPropagation(), Ee("up"); + }, + disabled: le, + children: "Upvote" + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `lecture-player__vote-button ${E === "down" ? "lecture-player__vote-button--active" : ""}`, + onClick: (m) => { + m.stopPropagation(), Ee("down"); + }, + disabled: le, + children: "Downvote" + } + ) + ] }) + ] }) + } + ); + } + function Ge(o) { + return !p || !x ? o === "fullscreen" ? null : /* @__PURE__ */ f("div", { className: "lecture-player__empty", children: [ + /* @__PURE__ */ l("p", { className: "eyebrow", children: "No slide available" }), + /* @__PURE__ */ l("p", { children: "Enroll at glitch.university, and help make this slide!." }) + ] }) : p.displayMode !== o ? o === "fullscreen" ? null : /* @__PURE__ */ l( + "div", + { + className: "lecture-player__empty lecture-player__empty--muted", + "aria-hidden": "true" + } + ) : /* @__PURE__ */ f( + "div", + { + className: "lecture-player__gesture-layer", + onPointerDown: it, + onPointerMove: st, + onPointerUp: (m) => ue(m.pointerId), + onPointerCancel: (m) => ue(m.pointerId), + onPointerLeave: (m) => { + $ && ue(m.pointerId); + }, + children: [ + /* @__PURE__ */ l( + ft, + { + lectureId: s.id, + slide: p, + glitchSlide: x, + candidates: K, + slideRegistry: r, + paused: J !== "playing", + isInspecting: Te, + isSettling: h.isSettling, + viewportMode: D, + dragBaselineGlitchSlideId: h.baselineGlitchSlideId, + dragOffsetPx: h.dragOffsetPx, + onMediaLoadingChange: ie + } + ), + /* @__PURE__ */ l( + dt, + { + candidates: K, + displayMode: p.displayMode, + activeGlitchSlide: x, + isInspecting: Te, + isDragging: $, + viewportMode: D + } + ) + ] + } + ); + } + return /* @__PURE__ */ l( + "div", + { + ref: Ie, + className: `lecture-player lecture-player--${D} ${(p == null ? void 0 : p.displayMode) === "fullscreen" ? "lecture-player--fullscreen" : ""}`, + "data-testid": "lecture-player", + children: /* @__PURE__ */ l("div", { className: "lecture-player__stage", children: /* @__PURE__ */ f( + "div", + { + className: "lecture-player__stage-frame", + onPointerMove: () => { + !$ && !U.isScrubbing && H(); + }, + onPointerDown: () => H(), + children: [ + /* @__PURE__ */ l( + _t, + { + segment: G, + nextSegment: Z, + globalTimeSec: d, + lectureDurationSec: s.durationSec, + pauseMode: J, + viewportMode: D, + onTogglePlayback: ke, + onAutoplayBlocked: () => { + qe.current || (qe.current = !0, S(!0)); + }, + onSegmentError: (o) => Me(o), + onGlobalTimeChange: ne + } + ), + Fe ? /* @__PURE__ */ l("div", { className: "lecture-player__square-header", "aria-live": "polite", children: Fe }) : null, + /* @__PURE__ */ f("div", { className: "lecture-player__slide-shell", children: [ + Ge("square"), + Ve("square") + ] }), + rt ? /* @__PURE__ */ f("div", { className: "lecture-player__fullscreen-layer", children: [ + Ge("fullscreen"), + Ve("fullscreen") + ] }) : null, + J !== "playing" ? /* @__PURE__ */ l("div", { className: "lecture-player__overlay-control", children: /* @__PURE__ */ l( + pt, + { + pauseMode: J, + pendingVote: _, + onResume: () => { + de(); + }, + onPause: () => S(!0) + } + ) }) : null, + tt ? /* @__PURE__ */ f( + "div", + { + className: "lecture-player__scrubber", + style: { + "--scrub-progress": `${s.durationSec > 0 ? ae / s.durationSec * 100 : 0}%` + }, + children: [ + /* @__PURE__ */ l("div", { className: "lecture-player__scrubber-markers", "aria-label": "Slide markers", children: s.slides.map((o, m) => { + const w = o.startTimeSec; + if (w == null) + return null; + const z = s.durationSec > 0 ? w / s.durationSec * 100 : 0, R = (oe == null ? void 0 : oe.id) === o.id; + return /* @__PURE__ */ l( + "button", + { + type: "button", + className: `lecture-player__scrubber-marker ${R ? "lecture-player__scrubber-marker--active" : ""}`, + style: { + "--marker-progress": `${z}%` + }, + "aria-label": `S${m + 1}`, + onPointerDown: (T) => { + T.preventDefault(), T.stopPropagation(), De(w); + }, + onPointerUp: (T) => { + T.preventDefault(), T.stopPropagation(); + }, + onClick: (T) => { + T.preventDefault(), T.stopPropagation(), De(w); + }, + children: /* @__PURE__ */ f("span", { className: "lecture-player__scrubber-marker-label", children: [ + "S", + m + 1 + ] }) + }, + o.id + ); + }) }), + /* @__PURE__ */ l( + "input", + { + type: "range", + min: 0, + max: s.durationSec, + step: 0.01, + value: ae, + className: "lecture-player__scrubber-input", + "aria-label": "Lecture timeline", + onPointerDown: (o) => { + o.stopPropagation(), $e(); + }, + onChange: (o) => lt(o.currentTarget.value), + onPointerUp: () => M(), + onPointerCancel: () => M(), + onBlur: () => { + U.isScrubbing && M(); + }, + onKeyDown: () => { + U.isScrubbing || $e(); + }, + onKeyUp: () => M() + } + ) + ] + } + ) : null, + we ? /* @__PURE__ */ f("div", { className: "lecture-player__alert lecture-player__alert--overlay", role: "alert", children: [ + /* @__PURE__ */ l("strong", { children: "Segment error:" }), + " ", + we + ] }) : null + ] + } + ) }) + } + ); +} +const Tr = Xe, Fr = Xe; +function Pt({ + presentationId: t, + slide: r, + slideRegistry: e, + viewportMode: i = "desktop", + preferredGlitchSlideId: c, + paused: a = !0, + className: n +}) { + const u = ve(r, i), s = _e( + r, + i, + c + ); + return !s || u.length === 0 ? /* @__PURE__ */ l( + "div", + { + className: [ + "glitch-slide-renderer", + `glitch-slide-renderer--${i}`, + n + ].filter(Boolean).join(" "), + children: /* @__PURE__ */ l("div", { className: `slide-host slide-host--${r.displayMode}`, children: /* @__PURE__ */ l(te, { reason: "No compatible slide variant available." }) }) + } + ) : /* @__PURE__ */ l( + "div", + { + className: [ + "glitch-slide-renderer", + `glitch-slide-renderer--${i}`, + `lecture-player--${i}`, + n + ].filter(Boolean).join(" "), + "data-testid": `glitch-slide-renderer-${r.displayMode}`, + children: /* @__PURE__ */ l("div", { className: `slide-host slide-host--${r.displayMode}`, children: /* @__PURE__ */ l( + he, + { + lectureId: t, + slide: r, + glitchSlide: s, + slideRegistry: e, + paused: a + } + ) }) + } + ); +} +function $r({ + presentationId: t, + slide: r, + slideRegistry: e, + viewportMode: i = "desktop", + preferredGlitchSlideId: c, + className: a, + showSquareHeader: n = !0 +}) { + const u = _e( + r, + i, + c + ), s = n && r.displayMode === "square" && (u == null ? void 0 : u.componentKey) === "SquareYellow" && typeof u.props.header == "string" ? String(u.props.header) : null; + return /* @__PURE__ */ f( + "div", + { + className: [ + "glitch-slide-thumbnail", + `glitch-slide-thumbnail--${r.displayMode}`, + `glitch-slide-thumbnail--${i}`, + a + ].filter(Boolean).join(" "), + children: [ + s ? /* @__PURE__ */ l("div", { className: "glitch-slide-thumbnail__header", children: s }) : null, + /* @__PURE__ */ l("div", { className: "glitch-slide-thumbnail__surface", children: /* @__PURE__ */ l( + Pt, + { + presentationId: t, + slide: r, + slideRegistry: e, + viewportMode: i, + preferredGlitchSlideId: c, + paused: !0 + } + ) }) + ] + } + ); +} +var Dr = [ + "SquareYellow", + "SquareVideo", + "FullscreenSplit", + "FullscreenVideo", + "FullscreenVideoTitle", + "FullscreenVideoCenterCaption", + "EquationFocus", + "QuoteImage", + "ChartSingle", + "ProcessFlow", + "DefinitionCard", + "GlitchComponentFrame" +], Or = { + SquareYellow: { + template: "SquareYellow", + description: "One image plus one short header.", + fields: { + header: { targetMin: 8, targetMax: 24, hardMax: 32 }, + imageAlt: { targetMin: 12, targetMax: 60, hardMax: 100 } + } + }, + SquareVideo: { + template: "SquareVideo", + description: "One video plus one short header.", + fields: { + header: { targetMin: 8, targetMax: 24, hardMax: 32 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + FullscreenSplit: { + template: "FullscreenSplit", + description: "One image, one short text block.", + fields: { + eyebrow: { targetMin: 6, targetMax: 14, hardMax: 24 }, + title: { targetMin: 12, targetMax: 34, hardMax: 44 }, + body: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + FullscreenVideo: { + template: "FullscreenVideo", + description: "Full-bleed video with optional short overlay text.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + }, + caption: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + FullscreenVideoTitle: { + template: "FullscreenVideoTitle", + description: "Full-bleed video with one large overlaid title.", + fields: { + title: { targetMin: 12, targetMax: 26, hardMax: 36 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + FullscreenVideoCenterCaption: { + template: "FullscreenVideoCenterCaption", + description: "Full-bleed video with one oversized centered caption.", + fields: { + caption: { targetMin: 12, targetMax: 30, hardMax: 42 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + EquationFocus: { + template: "EquationFocus", + description: "One display equation plus one short annotation.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + title: { targetMin: 12, targetMax: 32, hardMax: 48 }, + latexString: { + targetMin: 8, + targetMax: 60, + hardMax: 120, + notes: "One expression only." + }, + annotation: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + QuoteImage: { + template: "QuoteImage", + description: "One quote plus one image.", + fields: { + quote: { targetMin: 18, targetMax: 50, hardMax: 72 }, + attribution: { targetMin: 4, targetMax: 18, hardMax: 24 } + } + }, + ChartSingle: { + template: "ChartSingle", + description: "One chart and one short framing line.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + title: { targetMin: 12, targetMax: 30, hardMax: 40 }, + body: { targetMin: 12, targetMax: 36, hardMax: 48 }, + pointLabel: { targetMin: 4, targetMax: 10, hardMax: 14 } + } + }, + ProcessFlow: { + template: "ProcessFlow", + description: "Short pipeline with 3-5 steps.", + fields: { + title: { targetMin: 12, targetMax: 34, hardMax: 44 }, + step: { targetMin: 8, targetMax: 22, hardMax: 30 } + } + }, + DefinitionCard: { + template: "DefinitionCard", + description: "One term, one definition, one concrete example.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + term: { targetMin: 6, targetMax: 22, hardMax: 28 }, + definition: { targetMin: 18, targetMax: 50, hardMax: 65 }, + example: { targetMin: 12, targetMax: 40, hardMax: 52 } + } + }, + GlitchComponentFrame: { + template: "GlitchComponentFrame", + description: "Interactive hosted component plus one short framing line.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + componentId: { targetMin: 4, targetMax: 24, hardMax: 40 }, + componentUrl: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted component URL." + }, + caption: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + } +}, It = { + header: "", + imageSrc: "", + imageAlt: "" +}, qt = { + header: "", + videoSrc: "", + posterSrc: "" +}, Tt = { + eyebrow: "", + title: "", + body: "", + imageSrc: "", + imageAlt: "", + imagePosition: "left" +}, Ft = { + header: "", + videoSrc: "", + posterSrc: "", + caption: "" +}, $t = { + title: "No need to be discrete", + videoSrc: "", + posterSrc: "" +}, Dt = { + caption: "", + videoSrc: "", + posterSrc: "" +}, Ot = { + header: "", + eyebrow: "", + title: "", + annotation: "" +}, Et = { + eyebrow: "", + quote: "", + attribution: "", + imageSrc: "", + imageAlt: "", + imagePosition: "left" +}, kt = { + header: "", + eyebrow: "", + title: "", + body: "", + points: [] +}, Vt = { + eyebrow: "", + title: "", + steps: [] +}, Gt = { + header: "", + eyebrow: "", + term: "", + definition: "", + example: "" +}, At = { + header: "", + componentId: "", + componentUrl: "", + caption: "" +}, ge = { + SquareYellow: { + componentKey: "SquareYellow", + label: "Square image + header", + description: "Square image with a short external header.", + displayMode: "square", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short headline", + required: !0 + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: !0 + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: !0 + } + ] + }, + SquareVideo: { + componentKey: "SquareVideo", + label: "Square video + header", + description: "Square video inside a framed square slide with a short header.", + displayMode: "square", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short headline", + required: !0 + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: !0 + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + FullscreenSplit: { + componentKey: "FullscreenSplit", + label: "Fullscreen split", + description: "Two-panel fullscreen slide with image and text.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Main title", + required: !0 + }, + { + name: "body", + type: "textarea", + label: "Body", + placeholder: "Short supporting text", + required: !0 + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: !0 + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: !0 + }, + { + name: "imagePosition", + type: "text", + label: "Image position", + placeholder: "left or right" + } + ] + }, + FullscreenVideo: { + componentKey: "FullscreenVideo", + label: "Fullscreen video", + description: "Full-bleed video slide with optional overlay text.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: !0 + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + }, + { + name: "caption", + type: "textarea", + label: "Caption", + placeholder: "Short framing note" + } + ] + }, + FullscreenVideoTitle: { + componentKey: "FullscreenVideoTitle", + label: "Fullscreen video + title", + description: "Full-bleed video with one oversized overlaid title.", + displayMode: "fullscreen", + fields: [ + { + name: "title", + type: "text", + label: "Title", + placeholder: "No need to be discrete" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: !0 + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + FullscreenVideoCenterCaption: { + componentKey: "FullscreenVideoCenterCaption", + label: "Fullscreen video + centered caption", + description: "Full-bleed video with one oversized centered caption.", + displayMode: "fullscreen", + fields: [ + { + name: "caption", + type: "text", + label: "Caption", + placeholder: "Short centered statement" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: !0 + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + EquationFocus: { + componentKey: "EquationFocus", + label: "Equation focus", + description: "One display equation with a short annotation.", + displayMode: "fullscreen", + supportedDisplayModes: ["square", "fullscreen"], + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "What does the equation show?", + required: !0 + }, + { + name: "latexString", + type: "latex", + label: "LaTeX equation", + placeholder: "\\bar{x} = \\frac{1}{N}\\sum_{i=0}^{N} x_i", + required: !0 + }, + { + name: "annotation", + type: "textarea", + label: "Annotation", + placeholder: "One short explanation" + } + ] + }, + QuoteImage: { + componentKey: "QuoteImage", + label: "Quote + image", + description: "Strong quote paired with one image.", + displayMode: "fullscreen", + fields: [ + { + name: "eyebrow", + type: "text", + label: "Eyebrow", + placeholder: "Optional eyebrow" + }, + { + name: "quote", + type: "textarea", + label: "Quote", + placeholder: "Short quote", + required: !0 + }, + { + name: "attribution", + type: "text", + label: "Attribution", + placeholder: "Person or source" + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: !0 + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: !0 + }, + { + name: "imagePosition", + type: "text", + label: "Image position", + placeholder: "left or right" + } + ] + }, + ChartSingle: { + componentKey: "ChartSingle", + label: "Single chart", + description: "One compact chart with a short framing line.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Chart title", + required: !0 + }, + { + name: "body", + type: "textarea", + label: "Body", + placeholder: "Short interpretation" + }, + { + name: "points", + type: "lines", + label: "Data points", + placeholder: "Label: value", + description: "One point per line. Format each line as label: value." + } + ] + }, + ProcessFlow: { + componentKey: "ProcessFlow", + label: "Process flow", + description: "Short pipeline with 3 to 5 steps.", + displayMode: "fullscreen", + fields: [ + { + name: "eyebrow", + type: "text", + label: "Eyebrow", + placeholder: "Optional eyebrow" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Process title", + required: !0 + }, + { + name: "steps", + type: "lines", + label: "Steps", + placeholder: "One step per line", + required: !0 + } + ] + }, + DefinitionCard: { + componentKey: "DefinitionCard", + label: "Definition card", + description: "Term, definition, and optional example.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "term", + type: "text", + label: "Term", + placeholder: "Key term", + required: !0 + }, + { + name: "definition", + type: "textarea", + label: "Definition", + placeholder: "Short definition", + required: !0 + }, + { + name: "example", + type: "textarea", + label: "Example", + placeholder: "Optional example" + } + ] + }, + GlitchComponentFrame: { + componentKey: "GlitchComponentFrame", + label: "Interactive Glitch component", + description: "Hosted Glitch component embedded inside the slide surface.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "componentId", + type: "text", + label: "Component id", + placeholder: "lightlane", + required: !0 + }, + { + name: "componentUrl", + type: "text", + label: "Component URL", + placeholder: "Optional hosted URL", + description: "Optional URL for iframe-hosted components. Leave empty for known local component ids." + }, + { + name: "caption", + type: "textarea", + label: "Caption", + placeholder: "Short framing note" + } + ] + } +}, Rt = Object.values(ge), be = Rt.flatMap(function(t) { + var r, e = (r = t.supportedDisplayModes) !== null && r !== void 0 ? r : [t.displayMode]; + return e.map(function(i) { + return { + componentKey: t.componentKey, + label: t.label, + description: t.description, + displayMode: i, + fields: t.fields + }; + }); +}), jt = { + square: be.filter(function(t) { + return t.displayMode === "square"; + }), + fullscreen: be.filter(function(t) { + return t.displayMode === "fullscreen"; + }) +}, Ut = { + SquareYellow: { + props: It + }, + SquareVideo: { + props: qt + }, + FullscreenSplit: { + props: Tt + }, + FullscreenVideo: { + props: Ft + }, + FullscreenVideoTitle: { + props: $t + }, + FullscreenVideoCenterCaption: { + props: Dt + }, + EquationFocus: { + props: Ot, + latexString: "" + }, + QuoteImage: { + props: Et + }, + ChartSingle: { + props: kt + }, + ProcessFlow: { + props: Vt + }, + DefinitionCard: { + props: Gt + }, + GlitchComponentFrame: { + props: At + } +}; +function Er(t) { + return ge[t]; +} +function kr(t) { + return t ? jt[t] : be; +} +function Vr(t) { + return Ut[t]; +} +function Kt(t) { + if (!Array.isArray(t) || t.length === 0) + return [ + { label: "Security", value: 72, color: "#111" }, + { label: "Trust", value: 58, color: "rgba(17, 17, 17, 0.72)" }, + { label: "Growth", value: 44, color: "rgba(17, 17, 17, 0.52)" } + ]; + const r = []; + return t.forEach((e, i) => { + if (!e || typeof e != "object") + return; + const c = e, a = Number(c.value); + r.push({ + label: String(c.label ?? `Series ${i + 1}`), + value: Number.isFinite(a) ? Math.max(0, a) : 0, + color: typeof c.color == "string" ? c.color : void 0 + }); + }), r.length > 0 ? r : [ + { label: "Security", value: 72, color: "#111" }, + { label: "Trust", value: 58, color: "rgba(17, 17, 17, 0.72)" }, + { label: "Growth", value: 44, color: "rgba(17, 17, 17, 0.52)" } + ]; +} +function zt({ props: t, paused: r }) { + const e = t, i = String(e.header ?? e.eyebrow ?? "Chart single"), c = String(e.title ?? "One chart, one comparison"), a = String(e.body ?? "Use one chart for one contrast."), n = Kt(e.points), u = Math.max(...n.map((s) => s.value), 1); + return /* @__PURE__ */ l("article", { className: `chart-single ${r ? "chart-single--paused" : ""}`, children: /* @__PURE__ */ f("div", { className: "chart-single__content", children: [ + /* @__PURE__ */ f("div", { className: "chart-single__copy", children: [ + /* @__PURE__ */ l("p", { className: "chart-single__eyebrow", children: i }), + /* @__PURE__ */ l("h2", { className: "chart-single__title", children: c }), + /* @__PURE__ */ l("p", { className: "chart-single__body", children: a }) + ] }), + /* @__PURE__ */ l("div", { className: "chart-single__plot", role: "img", "aria-label": c, children: n.map((s) => /* @__PURE__ */ f("div", { className: "chart-single__row", children: [ + /* @__PURE__ */ l("span", { className: "chart-single__label", children: s.label }), + /* @__PURE__ */ l("div", { className: "chart-single__bar-track", children: /* @__PURE__ */ l( + "div", + { + className: "chart-single__bar-fill", + style: { + width: `${s.value / u * 100}%`, + background: s.color ?? "#111" + } + } + ) }), + /* @__PURE__ */ l("span", { className: "chart-single__value", children: s.value }) + ] }, s.label)) }) + ] }) }); +} +const Bt = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ + __proto__: null, + default: zt +}, Symbol.toStringTag, { value: "Module" })); +function Ht({ props: t, paused: r }) { + const e = t, i = String(e.header ?? e.eyebrow ?? "Definition"), c = String(e.term ?? "Crystallization"), a = String( + e.definition ?? "An interactive talk becomes a fixed video." + ), n = String( + e.example ?? "Same source. Cleaner final cut." + ); + return /* @__PURE__ */ l( + "article", + { + className: `definition-card ${r ? "definition-card--paused" : ""}`, + children: /* @__PURE__ */ f("div", { className: "definition-card__content", children: [ + /* @__PURE__ */ l("p", { className: "definition-card__eyebrow", children: i }), + /* @__PURE__ */ l("h2", { className: "definition-card__term", children: c }), + /* @__PURE__ */ l("p", { className: "definition-card__definition", children: a }), + /* @__PURE__ */ l("p", { className: "definition-card__example", children: n }) + ] }) + } + ); +} +const Yt = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ + __proto__: null, + default: Ht +}, Symbol.toStringTag, { value: "Module" })), We = "glitch-player-mathjax", Wt = "https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js"; +let ee = null; +function Jt() { + var t; + return typeof window > "u" || typeof document > "u" || (t = window.MathJax) != null && t.typesetPromise ? Promise.resolve() : ee || (ee = new Promise((r, e) => { + var n; + window.MathJax = window.MathJax ?? {}; + const i = document.getElementById( + We + ), c = () => { + var s, d; + i && (i.dataset.loaded = "true"); + const u = (d = (s = window.MathJax) == null ? void 0 : s.startup) == null ? void 0 : d.promise; + if (u) { + u.then(() => r()).catch(e); + return; + } + r(); + }; + if (i) { + if (i.dataset.loaded === "true" || (n = window.MathJax) != null && n.typesetPromise) { + c(); + return; + } + i.addEventListener("load", c, { once: !0 }), i.addEventListener( + "error", + () => e(new Error("Failed to load MathJax.")), + { once: !0 } + ); + return; + } + const a = document.createElement("script"); + a.id = We, a.async = !0, a.src = Wt, a.addEventListener( + "load", + () => { + a.dataset.loaded = "true", c(); + }, + { once: !0 } + ), a.addEventListener( + "error", + () => e(new Error("Failed to load MathJax.")), + { once: !0 } + ), document.head.appendChild(a); + }), ee); +} +function Qt({ + props: t, + latexString: r, + displayMode: e, + paused: i +}) { + const c = t, a = String(c.header ?? c.eyebrow ?? "Equation focus"), n = String(c.title ?? "Definition of the mean"), u = String( + c.annotation ?? "The mean is the total of all observations divided by the number of observations." + ), s = O(null), [d, P] = q( + "loading" + ); + return y(() => { + const v = s.current, S = r ?? String.raw`\bar{x} = \frac{1}{N}\sum_{i=0}^{N} x_i`; + if (!v) + return; + let b = !1; + return P("loading"), Jt().then(async () => { + var _, A, j, V; + if (b || !s.current) + return; + const N = s.current; + N.textContent = `\\[${S}\\]`, (A = (_ = window.MathJax) == null ? void 0 : _.typesetClear) == null || A.call(_, [N]), await ((V = (j = window.MathJax) == null ? void 0 : j.typesetPromise) == null ? void 0 : V.call(j, [N])), b || P("ready"); + }).catch(() => { + !b && s.current && (s.current.textContent = S, P("error")); + }), () => { + var N, _; + b = !0, s.current && ((_ = (N = window.MathJax) == null ? void 0 : N.typesetClear) == null || _.call(N, [s.current])); + }; + }, [r]), /* @__PURE__ */ l( + "article", + { + className: `equation-focus equation-focus--${e} ${i ? 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"").trim(), a = String(i.posterSrc ?? "").trim(), n = O(null); + return y(() => { + const u = n.current; + if (!u) + return; + if (r) { + u.pause(); + return; + } + const s = u.play(); + s && typeof s.catch == "function" && s.catch(() => { + }); + }, [r, c]), y(() => { + if (!c) { + e == null || e(!1); + return; + } + return e == null || e(!0), () => { + e == null || e(!1); + const u = n.current; + u && (u.pause(), u.currentTime = 0); + }; + }, [e, c]), /* @__PURE__ */ l( + "article", + { + className: `square-video ${r ? "square-video--paused" : ""}`, + children: /* @__PURE__ */ l("div", { className: "square-video__frame", children: /* @__PURE__ */ l( + "video", + { + ref: n, + className: "square-video__media", + src: c, + poster: a || void 0, + autoPlay: !0, + preload: "metadata", + playsInline: !0, + controls: !1, + onLoadedData: () => e == null ? void 0 : e(!1), + onCanPlay: () => e == null ? void 0 : e(!1), + onPlaying: () => e == null ? void 0 : e(!1), + onLoadStart: () => e == null ? void 0 : e(!0), + onWaiting: () => e == null ? void 0 : e(!0), + onStalled: () => e == null ? void 0 : e(!0), + onSuspend: () => e == null ? void 0 : e(!1), + onEnded: () => e == null ? void 0 : e(!1), + onError: () => e == null ? void 0 : e(!1) + } + ) }) + } + ); +} +const Sr = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ + __proto__: null, + default: hr +}, Symbol.toStringTag, { value: "Module" })); +function yr({ props: t, paused: r }) { + const e = t, i = String(e.header ?? "Square yellow"), c = String( + e.imageSrc ?? "https://images.unsplash.com/photo-1516321318423-f06f85e504b3?auto=format&fit=crop&w=1200&q=80" + ), a = String(e.imageAlt ?? i); + return /* @__PURE__ */ l( + "article", + { + className: `square-slide square-slide--yellow ${r ? "square-slide--paused" : ""}`, + children: /* @__PURE__ */ l("div", { className: "square-slide__image-frame", children: /* @__PURE__ */ l("img", { className: "square-slide__image", src: c, alt: a }) }) + } + ); +} +const br = /* @__PURE__ */ Object.freeze(/* @__PURE__ */ Object.defineProperty({ + __proto__: null, + default: yr +}, Symbol.toStringTag, { value: "Module" })); +export { + Xe as GlitchPlayer, + Pt as GlitchSlideRenderer, + $r as GlitchSlideThumbnail, + Fr as LecturePlayer, + Tr as PresentationPlayer, + Be as createDeviceContext, + qr as createSessionId, + Ir as defaultSlideRegistry, + kr as getSlideTemplateAvailability, + Er as getSlideTemplateDefinition, + Vr as getSlideTemplateDraft, + jt as slideTemplateAvailabilityByDisplayMode, + be as slideTemplateAvailabilityList, + Or as slideTemplateBudgets, + Rt as slideTemplateDefinitionList, + ge as slideTemplateDefinitions, + Ut as slideTemplateDrafts, + Dr as slideTemplateKeys +}; diff --git a/dist/vendor/lectures/rethinking-econ-ep1.json b/dist/vendor/lectures/rethinking-econ-ep1.json new file mode 100644 index 0000000..347646d --- /dev/null +++ b/dist/vendor/lectures/rethinking-econ-ep1.json @@ -0,0 +1,309 @@ +{ + "id": "rethinking-econ-ep1", + "title": "Why economics feels fake, even when it's working", + "version": "0.4.2", + "durationSec": 24, + "segments": [ + { + "id": "seg-1", + "src": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4", + "startTimeSec": 0, + "durationSec": 4, + "poster": "https://images.unsplash.com/photo-1501004318641-b39e6451bec6?auto=format&fit=crop&w=800&q=80" + }, + { + "id": "seg-2", + "src": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4", + "startTimeSec": 4, + "durationSec": 4, + "poster": "https://images.unsplash.com/photo-1465146344425-f00d5f5c8f07?auto=format&fit=crop&w=800&q=80" + }, + { + "id": "seg-3", + "src": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4", + "startTimeSec": 8, + "durationSec": 4, + "poster": "https://images.unsplash.com/photo-1490750967868-88aa4486c946?auto=format&fit=crop&w=800&q=80" + }, + { + "id": "seg-4", + "src": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4", + "startTimeSec": 12, + "durationSec": 4, + "poster": "https://images.unsplash.com/photo-1493246507139-91e8fad9978e?auto=format&fit=crop&w=800&q=80" + }, + { + "id": "seg-5", + "src": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4", + "startTimeSec": 16, + "durationSec": 4, + "poster": "https://images.unsplash.com/photo-1520607162513-77705c0f0d4a?auto=format&fit=crop&w=800&q=80" + }, + { + "id": "seg-6", + "src": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4", + "startTimeSec": 20, + "durationSec": 4, + "poster": "https://images.unsplash.com/photo-1529156069898-49953e39b3ac?auto=format&fit=crop&w=800&q=80" + } + ], + "slides": [ + { + "id": "slide-01-square-yellow", + "startTimeSec": 0, + "endTimeSec": 3.2, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-01-a", + "score": 0.86, + "componentKey": "SquareYellow", + "authorName": "Amina", + "orientation": "any", + "props": { + "header": "GROWTH LOOKS FINE", + "imageSrc": "https://images.unsplash.com/photo-1520607162513-77705c0f0d4a?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "Crowd moving through an urban square" + } + }, + { + "id": "slide-01-b", + "score": 0.62, + "componentKey": "SquareYellow", + "authorName": "Jonas", + "orientation": "any", + "props": { + "header": "LIFE FEELS TIGHT", + "imageSrc": "https://images.unsplash.com/photo-1529156069898-49953e39b3ac?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "Blurred commuters moving through a city crowd" + } + } + ] + }, + { + "id": "slide-02-fullscreen-split", + "startTimeSec": 3.2, + "endTimeSec": 4.8, + "displayMode": "fullscreen", + "glitchSlides": [ + { + "id": "slide-02-a", + "score": 0.88, + "componentKey": "FullscreenSplit", + "authorName": "Editor Bot", + "orientation": "any", + "props": { + "eyebrow": "Seam mask", + "title": "Fullscreen hides the stitch.", + "body": "The talk keeps moving underneath.", + "imageSrc": "https://images.unsplash.com/photo-1552664730-d307ca884978?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "People collaborating around a table", + "imagePosition": "left" + } + } + ] + }, + { + "id": "slide-03-equation-focus", + "startTimeSec": 4.8, + "endTimeSec": 7.2, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-03-a", + "score": 0.82, + "componentKey": "EquationFocus", + "authorName": "Mira", + "latexString": "\\bar{x} = \\frac{1}{N}\\sum_{i=0}^{N} x_i", + "orientation": "any", + "props": { + "eyebrow": "Equation focus", + "title": "Definition of the mean", + "annotation": "Add values. 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scripts/deploy-vendor.mjs web", + "deploy:all": "node scripts/deploy-vendor.mjs all", + "preview": "vite preview", + "test": "vitest run", + "test:watch": "vitest" + }, + "dependencies": { + "react": "^18.2.0", + "react-dom": "^18.2.0" + }, + "devDependencies": { + "@testing-library/jest-dom": "^6.6.3", + "@testing-library/react": "^16.3.0", + "@testing-library/user-event": "^14.6.1", + "@types/react": "^18.2.66", + "@types/react-dom": "^18.2.22", + "@vitejs/plugin-react": "^4.3.4", + "jsdom": "^26.1.0", + "typescript": "^5.8.3", + "vite": "^5.4.18", + "vitest": "^2.1.9" + } +} diff --git a/packages/slide-contracts/package.json b/packages/slide-contracts/package.json new file mode 100644 index 0000000..11eedc8 --- /dev/null +++ b/packages/slide-contracts/package.json @@ -0,0 +1,9 @@ +{ + "name": "@gnommo/slide-contracts", + "private": true, + "version": "0.1.0", + "type": "module", + "exports": { + ".": "./src/index.ts" + } +} diff --git a/packages/slide-contracts/src/budgets.d.ts b/packages/slide-contracts/src/budgets.d.ts new file mode 100644 index 0000000..3d9d6fb --- /dev/null +++ b/packages/slide-contracts/src/budgets.d.ts @@ -0,0 +1,13 @@ +import type { SlideTemplateKey } from "./templates"; +export interface FieldBudget { + targetMin?: number; + targetMax: number; + hardMax: number; + notes?: string; +} +export interface SlideTemplateBudget { + template: SlideTemplateKey; + description: string; + fields: Record; +} +export declare const slideTemplateBudgets: Record; diff --git a/packages/slide-contracts/src/budgets.js b/packages/slide-contracts/src/budgets.js new file mode 100644 index 0000000..b97d87e --- /dev/null +++ b/packages/slide-contracts/src/budgets.js @@ -0,0 +1,138 @@ +export var slideTemplateBudgets = { + SquareYellow: { + template: "SquareYellow", + description: "One image plus one short header.", + fields: { + header: { targetMin: 8, targetMax: 24, hardMax: 32 }, + imageAlt: { targetMin: 12, targetMax: 60, hardMax: 100 } + } + }, + SquareVideo: { + template: "SquareVideo", + description: "One video plus one short header.", + fields: { + header: { targetMin: 8, targetMax: 24, hardMax: 32 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + FullscreenSplit: { + template: "FullscreenSplit", + description: "One image, one short text block.", + fields: { + eyebrow: { targetMin: 6, targetMax: 14, hardMax: 24 }, + title: { targetMin: 12, targetMax: 34, hardMax: 44 }, + body: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + FullscreenVideo: { + template: "FullscreenVideo", + description: "Full-bleed video with optional short overlay text.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + }, + caption: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + FullscreenVideoTitle: { + template: "FullscreenVideoTitle", + description: "Full-bleed video with one large overlaid title.", + fields: { + title: { targetMin: 12, targetMax: 26, hardMax: 36 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + FullscreenVideoCenterCaption: { + template: "FullscreenVideoCenterCaption", + description: "Full-bleed video with one oversized centered caption.", + fields: { + caption: { targetMin: 12, targetMax: 30, hardMax: 42 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + EquationFocus: { + template: "EquationFocus", + description: "One display equation plus one short annotation.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + title: { targetMin: 12, targetMax: 32, hardMax: 48 }, + latexString: { + targetMin: 8, + targetMax: 60, + hardMax: 120, + notes: "One expression only." + }, + annotation: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + QuoteImage: { + template: "QuoteImage", + description: "One quote plus one image.", + fields: { + quote: { targetMin: 18, targetMax: 50, hardMax: 72 }, + attribution: { targetMin: 4, targetMax: 18, hardMax: 24 } + } + }, + ChartSingle: { + template: "ChartSingle", + description: "One chart and one short framing line.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + title: { targetMin: 12, targetMax: 30, hardMax: 40 }, + body: { targetMin: 12, targetMax: 36, hardMax: 48 }, + pointLabel: { targetMin: 4, targetMax: 10, hardMax: 14 } + } + }, + ProcessFlow: { + template: "ProcessFlow", + description: "Short pipeline with 3-5 steps.", + fields: { + title: { targetMin: 12, targetMax: 34, hardMax: 44 }, + step: { targetMin: 8, targetMax: 22, hardMax: 30 } + } + }, + DefinitionCard: { + template: "DefinitionCard", + description: "One term, one definition, one concrete example.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + term: { targetMin: 6, targetMax: 22, hardMax: 28 }, + definition: { targetMin: 18, targetMax: 50, hardMax: 65 }, + example: { targetMin: 12, targetMax: 40, hardMax: 52 } + } + }, + GlitchComponentFrame: { + template: "GlitchComponentFrame", + description: "Interactive hosted component plus one short framing line.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + componentId: { targetMin: 4, targetMax: 24, hardMax: 40 }, + componentUrl: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted component URL." + }, + caption: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + } +}; diff --git a/packages/slide-contracts/src/budgets.ts b/packages/slide-contracts/src/budgets.ts new file mode 100644 index 0000000..6dd82b5 --- /dev/null +++ b/packages/slide-contracts/src/budgets.ts @@ -0,0 +1,153 @@ +import type { SlideTemplateKey } from "./templates"; + +export interface FieldBudget { + targetMin?: number; + targetMax: number; + hardMax: number; + notes?: string; +} + +export interface SlideTemplateBudget { + template: SlideTemplateKey; + description: string; + fields: Record; +} + +export const slideTemplateBudgets: Record = { + SquareYellow: { + template: "SquareYellow", + description: "One image plus one short header.", + fields: { + header: { targetMin: 8, targetMax: 24, hardMax: 32 }, + imageAlt: { targetMin: 12, targetMax: 60, hardMax: 100 } + } + }, + SquareVideo: { + template: "SquareVideo", + description: "One video plus one short header.", + fields: { + header: { targetMin: 8, targetMax: 24, hardMax: 32 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + FullscreenSplit: { + template: "FullscreenSplit", + description: "One image, one short text block.", + fields: { + eyebrow: { targetMin: 6, targetMax: 14, hardMax: 24 }, + title: { targetMin: 12, targetMax: 34, hardMax: 44 }, + body: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + FullscreenVideo: { + template: "FullscreenVideo", + description: "Full-bleed video with optional short overlay text.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + }, + caption: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + FullscreenVideoTitle: { + template: "FullscreenVideoTitle", + description: "Full-bleed video with one large overlaid title.", + fields: { + title: { targetMin: 12, targetMax: 26, hardMax: 36 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + FullscreenVideoCenterCaption: { + template: "FullscreenVideoCenterCaption", + description: "Full-bleed video with one oversized centered caption.", + fields: { + caption: { targetMin: 12, targetMax: 30, hardMax: 42 }, + videoSrc: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted or CDN video URL." + } + } + }, + EquationFocus: { + template: "EquationFocus", + description: "One display equation plus one short annotation.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + title: { targetMin: 12, targetMax: 32, hardMax: 48 }, + latexString: { + targetMin: 8, + targetMax: 60, + hardMax: 120, + notes: "One expression only." + }, + annotation: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + }, + QuoteImage: { + template: "QuoteImage", + description: "One quote plus one image.", + fields: { + quote: { targetMin: 18, targetMax: 50, hardMax: 72 }, + attribution: { targetMin: 4, targetMax: 18, hardMax: 24 } + } + }, + ChartSingle: { + template: "ChartSingle", + description: "One chart and one short framing line.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + title: { targetMin: 12, targetMax: 30, hardMax: 40 }, + body: { targetMin: 12, targetMax: 36, hardMax: 48 }, + pointLabel: { targetMin: 4, targetMax: 10, hardMax: 14 } + } + }, + ProcessFlow: { + template: "ProcessFlow", + description: "Short pipeline with 3-5 steps.", + fields: { + title: { targetMin: 12, targetMax: 34, hardMax: 44 }, + step: { targetMin: 8, targetMax: 22, hardMax: 30 } + } + }, + DefinitionCard: { + template: "DefinitionCard", + description: "One term, one definition, one concrete example.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + term: { targetMin: 6, targetMax: 22, hardMax: 28 }, + definition: { targetMin: 18, targetMax: 50, hardMax: 65 }, + example: { targetMin: 12, targetMax: 40, hardMax: 52 } + } + }, + GlitchComponentFrame: { + template: "GlitchComponentFrame", + description: "Interactive hosted component plus one short framing line.", + fields: { + header: { targetMin: 6, targetMax: 20, hardMax: 28 }, + componentId: { targetMin: 4, targetMax: 24, hardMax: 40 }, + componentUrl: { + targetMin: 12, + targetMax: 160, + hardMax: 300, + notes: "Prefer a stable hosted component URL." + }, + caption: { targetMin: 12, targetMax: 42, hardMax: 56 } + } + } +}; diff --git a/packages/slide-contracts/src/index.d.ts b/packages/slide-contracts/src/index.d.ts new file mode 100644 index 0000000..a0551dd --- /dev/null +++ b/packages/slide-contracts/src/index.d.ts @@ -0,0 +1,3 @@ +export * from "./templates"; +export * from "./budgets"; +export * from "./metadata"; diff --git a/packages/slide-contracts/src/index.js b/packages/slide-contracts/src/index.js new file mode 100644 index 0000000..a0551dd --- /dev/null +++ b/packages/slide-contracts/src/index.js @@ -0,0 +1,3 @@ +export * from "./templates"; +export * from "./budgets"; +export * from "./metadata"; diff --git a/packages/slide-contracts/src/index.ts b/packages/slide-contracts/src/index.ts new file mode 100644 index 0000000..a0551dd --- /dev/null +++ b/packages/slide-contracts/src/index.ts @@ -0,0 +1,3 @@ +export * from "./templates"; +export * from "./budgets"; +export * from "./metadata"; diff --git a/packages/slide-contracts/src/metadata.d.ts b/packages/slide-contracts/src/metadata.d.ts new file mode 100644 index 0000000..1dedd07 --- /dev/null +++ b/packages/slide-contracts/src/metadata.d.ts @@ -0,0 +1,40 @@ +import type { SlideTemplateKey, SlideTemplateProps } from "./templates"; +export type SlideTemplateFieldType = "text" | "textarea" | "lines" | "image" | "video" | "latex"; +export interface SlideTemplateFieldDefinition { + name: string; + type: SlideTemplateFieldType; + label: string; + placeholder?: string; + description?: string; + required?: boolean; +} +export interface SlideTemplateDefinition { + componentKey: SlideTemplateKey; + label: string; + description: string; + displayMode: "square" | "fullscreen"; + supportedDisplayModes?: Array<"square" | "fullscreen">; + fields: SlideTemplateFieldDefinition[]; +} +export interface SlideTemplateAvailability { + componentKey: SlideTemplateKey; + label: string; + description: string; + displayMode: "square" | "fullscreen"; + fields: SlideTemplateFieldDefinition[]; +} +export interface SlideTemplateDraft { + props: SlideTemplateProps; + latexString?: string; +} +export declare const slideTemplateDefinitions: Record; +export declare const slideTemplateDefinitionList: SlideTemplateDefinition[]; +export declare const slideTemplateAvailabilityList: SlideTemplateAvailability[]; +export declare const slideTemplateAvailabilityByDisplayMode: { + square: SlideTemplateAvailability[]; + fullscreen: SlideTemplateAvailability[]; +}; +export declare const slideTemplateDrafts: Record; +export declare function getSlideTemplateDefinition(componentKey: SlideTemplateKey): SlideTemplateDefinition; +export declare function getSlideTemplateAvailability(displayMode?: "square" | "fullscreen"): SlideTemplateAvailability[]; +export declare function getSlideTemplateDraft(componentKey: SlideTemplateKey): SlideTemplateDraft; diff --git a/packages/slide-contracts/src/metadata.js b/packages/slide-contracts/src/metadata.js new file mode 100644 index 0000000..1dc06d0 --- /dev/null +++ b/packages/slide-contracts/src/metadata.js @@ -0,0 +1,546 @@ +var squareYellowDefaults = { + header: "", + imageSrc: "", + imageAlt: "" +}; +var squareVideoDefaults = { + header: "", + videoSrc: "", + posterSrc: "" +}; +var fullscreenSplitDefaults = { + eyebrow: "", + title: "", + body: "", + imageSrc: "", + imageAlt: "", + imagePosition: "left" +}; +var fullscreenVideoDefaults = { + header: "", + videoSrc: "", + posterSrc: "", + caption: "" +}; +var fullscreenVideoTitleDefaults = { + title: "No need to be discrete", + videoSrc: "", + posterSrc: "" +}; +var fullscreenVideoCenterCaptionDefaults = { + caption: "", + videoSrc: "", + posterSrc: "" +}; +var equationFocusDefaults = { + header: "", + eyebrow: "", + title: "", + annotation: "" +}; +var quoteImageDefaults = { + eyebrow: "", + quote: "", + attribution: "", + imageSrc: "", + imageAlt: "", + imagePosition: "left" +}; +var chartSingleDefaults = { + header: "", + eyebrow: "", + title: "", + body: "", + points: [] +}; +var processFlowDefaults = { + eyebrow: "", + title: "", + steps: [] +}; +var definitionCardDefaults = { + header: "", + eyebrow: "", + term: "", + definition: "", + example: "" +}; +var glitchComponentFrameDefaults = { + header: "", + componentId: "", + componentUrl: "", + caption: "" +}; +export var slideTemplateDefinitions = { + SquareYellow: { + componentKey: "SquareYellow", + label: "Square image + header", + description: "Square image with a short external header.", + displayMode: "square", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short headline", + required: true + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: true + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: true + } + ] + }, + SquareVideo: { + componentKey: "SquareVideo", + label: "Square video + header", + description: "Square video inside a framed square slide with a short header.", + displayMode: "square", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short headline", + required: true + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + FullscreenSplit: { + componentKey: "FullscreenSplit", + label: "Fullscreen split", + description: "Two-panel fullscreen slide with image and text.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Main title", + required: true + }, + { + name: "body", + type: "textarea", + label: "Body", + placeholder: "Short supporting text", + required: true + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: true + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: true + }, + { + name: "imagePosition", + type: "text", + label: "Image position", + placeholder: "left or right" + } + ] + }, + FullscreenVideo: { + componentKey: "FullscreenVideo", + label: "Fullscreen video", + description: "Full-bleed video slide with optional overlay text.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + }, + { + name: "caption", + type: "textarea", + label: "Caption", + placeholder: "Short framing note" + } + ] + }, + FullscreenVideoTitle: { + componentKey: "FullscreenVideoTitle", + label: "Fullscreen video + title", + description: "Full-bleed video with one oversized overlaid title.", + displayMode: "fullscreen", + fields: [ + { + name: "title", + type: "text", + label: "Title", + placeholder: "No need to be discrete" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + FullscreenVideoCenterCaption: { + componentKey: "FullscreenVideoCenterCaption", + label: "Fullscreen video + centered caption", + description: "Full-bleed video with one oversized centered caption.", + displayMode: "fullscreen", + fields: [ + { + name: "caption", + type: "text", + label: "Caption", + placeholder: "Short centered statement" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + EquationFocus: { + componentKey: "EquationFocus", + label: "Equation focus", + description: "One display equation with a short annotation.", + displayMode: "fullscreen", + supportedDisplayModes: ["square", "fullscreen"], + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "What does the equation show?", + required: true + }, + { + name: "latexString", + type: "latex", + label: "LaTeX equation", + placeholder: "\\bar{x} = \\frac{1}{N}\\sum_{i=0}^{N} x_i", + required: true + }, + { + name: "annotation", + type: "textarea", + label: "Annotation", + placeholder: "One short explanation" + } + ] + }, + QuoteImage: { + componentKey: "QuoteImage", + label: "Quote + image", + description: "Strong quote paired with one image.", + displayMode: "fullscreen", + fields: [ + { + name: "eyebrow", + type: "text", + label: "Eyebrow", + placeholder: "Optional eyebrow" + }, + { + name: "quote", + type: "textarea", + label: "Quote", + placeholder: "Short quote", + required: true + }, + { + name: "attribution", + type: "text", + label: "Attribution", + placeholder: "Person or source" + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: true + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: true + }, + { + name: "imagePosition", + type: "text", + label: "Image position", + placeholder: "left or right" + } + ] + }, + ChartSingle: { + componentKey: "ChartSingle", + label: "Single chart", + description: "One compact chart with a short framing line.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Chart title", + required: true + }, + { + name: "body", + type: "textarea", + label: "Body", + placeholder: "Short interpretation" + }, + { + name: "points", + type: "lines", + label: "Data points", + placeholder: "Label: value", + description: "One point per line. Format each line as label: value." + } + ] + }, + ProcessFlow: { + componentKey: "ProcessFlow", + label: "Process flow", + description: "Short pipeline with 3 to 5 steps.", + displayMode: "fullscreen", + fields: [ + { + name: "eyebrow", + type: "text", + label: "Eyebrow", + placeholder: "Optional eyebrow" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Process title", + required: true + }, + { + name: "steps", + type: "lines", + label: "Steps", + placeholder: "One step per line", + required: true + } + ] + }, + DefinitionCard: { + componentKey: "DefinitionCard", + label: "Definition card", + description: "Term, definition, and optional example.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "term", + type: "text", + label: "Term", + placeholder: "Key term", + required: true + }, + { + name: "definition", + type: "textarea", + label: "Definition", + placeholder: "Short definition", + required: true + }, + { + name: "example", + type: "textarea", + label: "Example", + placeholder: "Optional example" + } + ] + }, + GlitchComponentFrame: { + componentKey: "GlitchComponentFrame", + label: "Interactive Glitch component", + description: "Hosted Glitch component embedded inside the slide surface.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "componentId", + type: "text", + label: "Component id", + placeholder: "lightlane", + required: true + }, + { + name: "componentUrl", + type: "text", + label: "Component URL", + placeholder: "Optional hosted URL", + description: "Optional URL for iframe-hosted components. Leave empty for known local component ids." + }, + { + name: "caption", + type: "textarea", + label: "Caption", + placeholder: "Short framing note" + } + ] + } +}; +export var slideTemplateDefinitionList = Object.values(slideTemplateDefinitions); +export var slideTemplateAvailabilityList = slideTemplateDefinitionList.flatMap(function (definition) { + var _a; + var supportedDisplayModes = (_a = definition.supportedDisplayModes) !== null && _a !== void 0 ? _a : [definition.displayMode]; + return supportedDisplayModes.map(function (displayMode) { return ({ + componentKey: definition.componentKey, + label: definition.label, + description: definition.description, + displayMode: displayMode, + fields: definition.fields + }); }); +}); +export var slideTemplateAvailabilityByDisplayMode = { + square: slideTemplateAvailabilityList.filter(function (definition) { return definition.displayMode === "square"; }), + fullscreen: slideTemplateAvailabilityList.filter(function (definition) { return definition.displayMode === "fullscreen"; }) +}; +export var slideTemplateDrafts = { + SquareYellow: { + props: squareYellowDefaults + }, + SquareVideo: { + props: squareVideoDefaults + }, + FullscreenSplit: { + props: fullscreenSplitDefaults + }, + FullscreenVideo: { + props: fullscreenVideoDefaults + }, + FullscreenVideoTitle: { + props: fullscreenVideoTitleDefaults + }, + FullscreenVideoCenterCaption: { + props: fullscreenVideoCenterCaptionDefaults + }, + EquationFocus: { + props: equationFocusDefaults, + latexString: "" + }, + QuoteImage: { + props: quoteImageDefaults + }, + ChartSingle: { + props: chartSingleDefaults + }, + ProcessFlow: { + props: processFlowDefaults + }, + DefinitionCard: { + props: definitionCardDefaults + }, + GlitchComponentFrame: { + props: glitchComponentFrameDefaults + } +}; +export function getSlideTemplateDefinition(componentKey) { + return slideTemplateDefinitions[componentKey]; +} +export function getSlideTemplateAvailability(displayMode) { + if (!displayMode) { + return slideTemplateAvailabilityList; + } + return slideTemplateAvailabilityByDisplayMode[displayMode]; +} +export function getSlideTemplateDraft(componentKey) { + return slideTemplateDrafts[componentKey]; +} diff --git a/packages/slide-contracts/src/metadata.ts b/packages/slide-contracts/src/metadata.ts new file mode 100644 index 0000000..7a86d32 --- /dev/null +++ b/packages/slide-contracts/src/metadata.ts @@ -0,0 +1,633 @@ +import type { + ChartSingleData, + DefinitionCardData, + EquationFocusData, + FullscreenVideoData, + FullscreenVideoCenterCaptionData, + FullscreenVideoTitleData, + FullscreenSplitData, + GlitchComponentFrameData, + ProcessFlowData, + QuoteImageData, + SlideTemplateKey, + SlideTemplateProps, + SquareVideoData, + SquareYellowData +} from "./templates"; + +export type SlideTemplateFieldType = + | "text" + | "textarea" + | "lines" + | "image" + | "video" + | "latex"; + +export interface SlideTemplateFieldDefinition { + name: string; + type: SlideTemplateFieldType; + label: string; + placeholder?: string; + description?: string; + required?: boolean; +} + +export interface SlideTemplateDefinition { + componentKey: SlideTemplateKey; + label: string; + description: string; + displayMode: "square" | "fullscreen"; + supportedDisplayModes?: Array<"square" | "fullscreen">; + fields: SlideTemplateFieldDefinition[]; +} + +export interface SlideTemplateAvailability { + componentKey: SlideTemplateKey; + label: string; + description: string; + displayMode: "square" | "fullscreen"; + fields: SlideTemplateFieldDefinition[]; +} + +export interface SlideTemplateDraft { + props: SlideTemplateProps; + latexString?: string; +} + +const squareYellowDefaults: SquareYellowData = { + header: "", + imageSrc: "", + imageAlt: "" +}; + +const squareVideoDefaults: SquareVideoData = { + header: "", + videoSrc: "", + posterSrc: "" +}; + +const fullscreenSplitDefaults: FullscreenSplitData = { + eyebrow: "", + title: "", + body: "", + imageSrc: "", + imageAlt: "", + imagePosition: "left" +}; + +const fullscreenVideoDefaults: FullscreenVideoData = { + header: "", + videoSrc: "", + posterSrc: "", + caption: "" +}; + +const fullscreenVideoTitleDefaults: FullscreenVideoTitleData = { + title: "No need to be discrete", + videoSrc: "", + posterSrc: "" +}; + +const fullscreenVideoCenterCaptionDefaults: FullscreenVideoCenterCaptionData = { + caption: "", + videoSrc: "", + posterSrc: "" +}; + +const equationFocusDefaults: EquationFocusData = { + header: "", + eyebrow: "", + title: "", + annotation: "" +}; + +const quoteImageDefaults: QuoteImageData = { + eyebrow: "", + quote: "", + attribution: "", + imageSrc: "", + imageAlt: "", + imagePosition: "left" +}; + +const chartSingleDefaults: ChartSingleData = { + header: "", + eyebrow: "", + title: "", + body: "", + points: [] +}; + +const processFlowDefaults: ProcessFlowData = { + eyebrow: "", + title: "", + steps: [] +}; + +const definitionCardDefaults: DefinitionCardData = { + header: "", + eyebrow: "", + term: "", + definition: "", + example: "" +}; + +const glitchComponentFrameDefaults: GlitchComponentFrameData = { + header: "", + componentId: "", + componentUrl: "", + caption: "" +}; + +export const slideTemplateDefinitions: Record< + SlideTemplateKey, + SlideTemplateDefinition +> = { + SquareYellow: { + componentKey: "SquareYellow", + label: "Square image + header", + description: "Square image with a short external header.", + displayMode: "square", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short headline", + required: true + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: true + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: true + } + ] + }, + SquareVideo: { + componentKey: "SquareVideo", + label: "Square video + header", + description: "Square video inside a framed square slide with a short header.", + displayMode: "square", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short headline", + required: true + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + FullscreenSplit: { + componentKey: "FullscreenSplit", + label: "Fullscreen split", + description: "Two-panel fullscreen slide with image and text.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Main title", + required: true + }, + { + name: "body", + type: "textarea", + label: "Body", + placeholder: "Short supporting text", + required: true + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: true + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: true + }, + { + name: "imagePosition", + type: "text", + label: "Image position", + placeholder: "left or right" + } + ] + }, + FullscreenVideo: { + componentKey: "FullscreenVideo", + label: "Fullscreen video", + description: "Full-bleed video slide with optional overlay text.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + }, + { + name: "caption", + type: "textarea", + label: "Caption", + placeholder: "Short framing note" + } + ] + }, + FullscreenVideoTitle: { + componentKey: "FullscreenVideoTitle", + label: "Fullscreen video + title", + description: "Full-bleed video with one oversized overlaid title.", + displayMode: "fullscreen", + fields: [ + { + name: "title", + type: "text", + label: "Title", + placeholder: "No need to be discrete" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + FullscreenVideoCenterCaption: { + componentKey: "FullscreenVideoCenterCaption", + label: "Fullscreen video + centered caption", + description: "Full-bleed video with one oversized centered caption.", + displayMode: "fullscreen", + fields: [ + { + name: "caption", + type: "text", + label: "Caption", + placeholder: "Short centered statement" + }, + { + name: "videoSrc", + type: "video", + label: "Video", + placeholder: "https://...", + required: true + }, + { + name: "posterSrc", + type: "image", + label: "Poster image", + placeholder: "https://..." + } + ] + }, + EquationFocus: { + componentKey: "EquationFocus", + label: "Equation focus", + description: "One display equation with a short annotation.", + displayMode: "fullscreen", + supportedDisplayModes: ["square", "fullscreen"], + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "What does the equation show?", + required: true + }, + { + name: "latexString", + type: "latex", + label: "LaTeX equation", + placeholder: "\\bar{x} = \\frac{1}{N}\\sum_{i=0}^{N} x_i", + required: true + }, + { + name: "annotation", + type: "textarea", + label: "Annotation", + placeholder: "One short explanation" + } + ] + }, + QuoteImage: { + componentKey: "QuoteImage", + label: "Quote + image", + description: "Strong quote paired with one image.", + displayMode: "fullscreen", + fields: [ + { + name: "eyebrow", + type: "text", + label: "Eyebrow", + placeholder: "Optional eyebrow" + }, + { + name: "quote", + type: "textarea", + label: "Quote", + placeholder: "Short quote", + required: true + }, + { + name: "attribution", + type: "text", + label: "Attribution", + placeholder: "Person or source" + }, + { + name: "imageSrc", + type: "image", + label: "Image", + placeholder: "https://...", + required: true + }, + { + name: "imageAlt", + type: "text", + label: "Alt text", + placeholder: "Describe the image", + required: true + }, + { + name: "imagePosition", + type: "text", + label: "Image position", + placeholder: "left or right" + } + ] + }, + ChartSingle: { + componentKey: "ChartSingle", + label: "Single chart", + description: "One compact chart with a short framing line.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Chart title", + required: true + }, + { + name: "body", + type: "textarea", + label: "Body", + placeholder: "Short interpretation" + }, + { + name: "points", + type: "lines", + label: "Data points", + placeholder: "Label: value", + description: "One point per line. Format each line as label: value." + } + ] + }, + ProcessFlow: { + componentKey: "ProcessFlow", + label: "Process flow", + description: "Short pipeline with 3 to 5 steps.", + displayMode: "fullscreen", + fields: [ + { + name: "eyebrow", + type: "text", + label: "Eyebrow", + placeholder: "Optional eyebrow" + }, + { + name: "title", + type: "text", + label: "Title", + placeholder: "Process title", + required: true + }, + { + name: "steps", + type: "lines", + label: "Steps", + placeholder: "One step per line", + required: true + } + ] + }, + DefinitionCard: { + componentKey: "DefinitionCard", + label: "Definition card", + description: "Term, definition, and optional example.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "term", + type: "text", + label: "Term", + placeholder: "Key term", + required: true + }, + { + name: "definition", + type: "textarea", + label: "Definition", + placeholder: "Short definition", + required: true + }, + { + name: "example", + type: "textarea", + label: "Example", + placeholder: "Optional example" + } + ] + }, + GlitchComponentFrame: { + componentKey: "GlitchComponentFrame", + label: "Interactive Glitch component", + description: "Hosted Glitch component embedded inside the slide surface.", + displayMode: "fullscreen", + fields: [ + { + name: "header", + type: "text", + label: "Header", + placeholder: "Short header" + }, + { + name: "componentId", + type: "text", + label: "Component id", + placeholder: "lightlane", + required: true + }, + { + name: "componentUrl", + type: "text", + label: "Component URL", + placeholder: "Optional hosted URL", + description: "Optional URL for iframe-hosted components. Leave empty for known local component ids." + }, + { + name: "caption", + type: "textarea", + label: "Caption", + placeholder: "Short framing note" + } + ] + } +}; + +export const slideTemplateDefinitionList = Object.values( + slideTemplateDefinitions +); + +export const slideTemplateAvailabilityList: SlideTemplateAvailability[] = + slideTemplateDefinitionList.flatMap((definition) => { + const supportedDisplayModes = + definition.supportedDisplayModes ?? [definition.displayMode]; + + return supportedDisplayModes.map((displayMode) => ({ + componentKey: definition.componentKey, + label: definition.label, + description: definition.description, + displayMode, + fields: definition.fields + })); + }); + +export const slideTemplateAvailabilityByDisplayMode = { + square: slideTemplateAvailabilityList.filter( + (definition) => definition.displayMode === "square" + ), + fullscreen: slideTemplateAvailabilityList.filter( + (definition) => definition.displayMode === "fullscreen" + ) +} satisfies Record<"square" | "fullscreen", SlideTemplateAvailability[]>; + +export const slideTemplateDrafts: Record = { + SquareYellow: { + props: squareYellowDefaults + }, + SquareVideo: { + props: squareVideoDefaults + }, + FullscreenSplit: { + props: fullscreenSplitDefaults + }, + FullscreenVideo: { + props: fullscreenVideoDefaults + }, + FullscreenVideoTitle: { + props: fullscreenVideoTitleDefaults + }, + FullscreenVideoCenterCaption: { + props: fullscreenVideoCenterCaptionDefaults + }, + EquationFocus: { + props: equationFocusDefaults, + latexString: "" + }, + QuoteImage: { + props: quoteImageDefaults + }, + ChartSingle: { + props: chartSingleDefaults + }, + ProcessFlow: { + props: processFlowDefaults + }, + DefinitionCard: { + props: definitionCardDefaults + }, + GlitchComponentFrame: { + props: glitchComponentFrameDefaults + } +}; + +export function getSlideTemplateDefinition(componentKey: SlideTemplateKey) { + return slideTemplateDefinitions[componentKey]; +} + +export function getSlideTemplateAvailability(displayMode?: "square" | "fullscreen") { + if (!displayMode) { + return slideTemplateAvailabilityList; + } + + return slideTemplateAvailabilityByDisplayMode[displayMode]; +} + +export function getSlideTemplateDraft(componentKey: SlideTemplateKey) { + return slideTemplateDrafts[componentKey]; +} diff --git a/packages/slide-contracts/src/templates.d.ts b/packages/slide-contracts/src/templates.d.ts new file mode 100644 index 0000000..a838649 --- /dev/null +++ b/packages/slide-contracts/src/templates.d.ts @@ -0,0 +1,144 @@ +export declare const slideTemplateKeys: readonly ["SquareYellow", "SquareVideo", "FullscreenSplit", "FullscreenVideo", "FullscreenVideoTitle", "FullscreenVideoCenterCaption", "EquationFocus", "QuoteImage", "ChartSingle", "ProcessFlow", "DefinitionCard", "GlitchComponentFrame"]; +export type SlideTemplateKey = (typeof slideTemplateKeys)[number]; +export type SlideTemplateVersion = 1; +export interface SquareYellowData { + header: string; + imageSrc: string; + imageAlt: string; +} +export interface SquareVideoData { + header: string; + videoSrc: string; + posterSrc?: string; +} +export interface FullscreenSplitData { + eyebrow?: string; + title: string; + body: string; + imageSrc: string; + imageAlt: string; + imagePosition?: "left" | "right"; +} +export interface FullscreenVideoData { + header?: string; + videoSrc: string; + posterSrc?: string; + caption?: string; +} +export interface FullscreenVideoTitleData { + title?: string; + videoSrc: string; + posterSrc?: string; +} +export interface FullscreenVideoCenterCaptionData { + caption?: string; + videoSrc: string; + posterSrc?: string; +} +export interface EquationFocusData { + header?: string; + eyebrow?: string; + title: string; + annotation?: string; +} +export interface QuoteImageData { + eyebrow?: string; + quote: string; + attribution?: string; + imageSrc: string; + imageAlt: string; + imagePosition?: "left" | "right"; +} +export interface ChartSinglePoint { + label: string; + value: number; + color?: string; +} +export interface ChartSingleData { + header?: string; + eyebrow?: string; + title: string; + body?: string; + points: ChartSinglePoint[]; +} +export interface ProcessFlowData { + eyebrow?: string; + title: string; + steps: string[]; +} +export interface DefinitionCardData { + header?: string; + eyebrow?: string; + term: string; + definition: string; + example?: string; +} +export interface GlitchComponentFrameData { + header?: string; + componentId: string; + componentUrl?: string; + caption?: string; +} +export interface SquareYellowContract { + componentKey: "SquareYellow"; + version: 1; + props: SquareYellowData; +} +export interface SquareVideoContract { + componentKey: "SquareVideo"; + version: 1; + props: SquareVideoData; +} +export interface FullscreenSplitContract { + componentKey: "FullscreenSplit"; + version: 1; + props: FullscreenSplitData; +} +export interface FullscreenVideoContract { + componentKey: "FullscreenVideo"; + version: 1; + props: FullscreenVideoData; +} +export interface FullscreenVideoTitleContract { + componentKey: "FullscreenVideoTitle"; + version: 1; + props: FullscreenVideoTitleData; +} +export interface FullscreenVideoCenterCaptionContract { + componentKey: "FullscreenVideoCenterCaption"; + version: 1; + props: FullscreenVideoCenterCaptionData; +} +export interface EquationFocusContract { + componentKey: "EquationFocus"; + version: 1; + props: EquationFocusData; + latexString: string; +} +export interface QuoteImageContract { + componentKey: "QuoteImage"; + version: 1; + props: QuoteImageData; +} +export interface ChartSingleContract { + componentKey: "ChartSingle"; + version: 1; + props: ChartSingleData; +} +export interface ProcessFlowContract { + componentKey: "ProcessFlow"; + version: 1; + props: ProcessFlowData; +} +export interface DefinitionCardContract { + componentKey: "DefinitionCard"; + version: 1; + props: DefinitionCardData; +} +export interface GlitchComponentFrameContract { + componentKey: "GlitchComponentFrame"; + version: 1; + props: GlitchComponentFrameData; +} +export type SupportedSlideContract = SquareYellowContract | SquareVideoContract | FullscreenSplitContract | FullscreenVideoContract | FullscreenVideoTitleContract | FullscreenVideoCenterCaptionContract | EquationFocusContract | QuoteImageContract | ChartSingleContract | ProcessFlowContract | DefinitionCardContract | GlitchComponentFrameContract; +export type SlideTemplateProps = SupportedSlideContract["props"]; diff --git a/packages/slide-contracts/src/templates.js b/packages/slide-contracts/src/templates.js new file mode 100644 index 0000000..f8eafb3 --- /dev/null +++ b/packages/slide-contracts/src/templates.js @@ -0,0 +1,14 @@ +export var slideTemplateKeys = [ + "SquareYellow", + "SquareVideo", + "FullscreenSplit", + "FullscreenVideo", + "FullscreenVideoTitle", + "FullscreenVideoCenterCaption", + "EquationFocus", + "QuoteImage", + "ChartSingle", + "ProcessFlow", + "DefinitionCard", + "GlitchComponentFrame" +]; diff --git a/packages/slide-contracts/src/templates.ts b/packages/slide-contracts/src/templates.ts new file mode 100644 index 0000000..cf5109b --- /dev/null +++ b/packages/slide-contracts/src/templates.ts @@ -0,0 +1,197 @@ +export const slideTemplateKeys = [ + "SquareYellow", + "SquareVideo", + "FullscreenSplit", + "FullscreenVideo", + "FullscreenVideoTitle", + "FullscreenVideoCenterCaption", + "EquationFocus", + "QuoteImage", + "ChartSingle", + "ProcessFlow", + "DefinitionCard", + "GlitchComponentFrame" +] as const; + +export type SlideTemplateKey = (typeof slideTemplateKeys)[number]; +export type SlideTemplateVersion = 1; + +export interface SquareYellowData { + header: string; + imageSrc: string; + imageAlt: string; +} + +export interface SquareVideoData { + header: string; + videoSrc: string; + posterSrc?: string; +} + +export interface FullscreenSplitData { + eyebrow?: string; + title: string; + body: string; + imageSrc: string; + imageAlt: string; + imagePosition?: "left" | "right"; +} + +export interface FullscreenVideoData { + header?: string; + videoSrc: string; + posterSrc?: string; + caption?: string; +} + +export interface FullscreenVideoTitleData { + title?: string; + videoSrc: string; + posterSrc?: string; +} + +export interface FullscreenVideoCenterCaptionData { + caption?: string; + videoSrc: string; + posterSrc?: string; +} + +export interface EquationFocusData { + header?: string; + eyebrow?: string; + title: string; + annotation?: string; +} + +export interface QuoteImageData { + eyebrow?: string; + quote: string; + attribution?: string; + imageSrc: string; + imageAlt: string; + imagePosition?: "left" | "right"; +} + +export interface ChartSinglePoint { + label: string; + value: number; + color?: string; +} + +export interface ChartSingleData { + header?: string; + eyebrow?: string; + title: string; + body?: string; + points: ChartSinglePoint[]; +} + +export interface ProcessFlowData { + eyebrow?: string; + title: string; + steps: string[]; +} + +export interface DefinitionCardData { + header?: string; + eyebrow?: string; + term: string; + definition: string; + example?: string; +} + +export interface GlitchComponentFrameData { + header?: string; + componentId: string; + componentUrl?: string; + caption?: string; +} + +export interface SquareYellowContract { + componentKey: "SquareYellow"; + version: 1; + props: SquareYellowData; +} + +export interface SquareVideoContract { + componentKey: "SquareVideo"; + version: 1; + props: SquareVideoData; +} + +export interface FullscreenSplitContract { + componentKey: "FullscreenSplit"; + version: 1; + props: FullscreenSplitData; +} + +export interface FullscreenVideoContract { + componentKey: "FullscreenVideo"; + version: 1; + props: FullscreenVideoData; +} + +export interface FullscreenVideoTitleContract { + componentKey: "FullscreenVideoTitle"; + version: 1; + props: FullscreenVideoTitleData; +} + +export interface FullscreenVideoCenterCaptionContract { + componentKey: "FullscreenVideoCenterCaption"; + version: 1; + props: FullscreenVideoCenterCaptionData; +} + +export interface EquationFocusContract { + componentKey: "EquationFocus"; + version: 1; + props: EquationFocusData; + latexString: string; +} + +export interface QuoteImageContract { + componentKey: "QuoteImage"; + version: 1; + props: QuoteImageData; +} + +export interface ChartSingleContract { + componentKey: "ChartSingle"; + version: 1; + props: ChartSingleData; +} + +export interface ProcessFlowContract { + componentKey: "ProcessFlow"; + version: 1; + props: ProcessFlowData; +} + +export interface DefinitionCardContract { + componentKey: "DefinitionCard"; + version: 1; + props: DefinitionCardData; +} + +export interface GlitchComponentFrameContract { + componentKey: "GlitchComponentFrame"; + version: 1; + props: GlitchComponentFrameData; +} + +export type SupportedSlideContract = + | SquareYellowContract + | SquareVideoContract + | FullscreenSplitContract + | FullscreenVideoContract + | FullscreenVideoTitleContract + | FullscreenVideoCenterCaptionContract + | EquationFocusContract + | QuoteImageContract + | ChartSingleContract + | ProcessFlowContract + | DefinitionCardContract + | GlitchComponentFrameContract; + +export type SlideTemplateProps = SupportedSlideContract["props"]; diff --git a/public/glitch/glitch_assumption_toggle/.DS_Store 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+1,560 @@ +(function(){"use strict";try{if(typeof document<"u"){var t=document.createElement("style");t.appendChild(document.createTextNode('.gc-assumption-toggle{--shell-bg: radial-gradient(circle at top, rgba(40, 58, 34, .35), transparent 42%), linear-gradient(180deg, #070a08, #0f160f 58%, #090b09);--screen-bg: #616161;--screen-error: #7f1d1d;--screen-glow: rgba(0, 0, 0, .5);--text-primary: var(--gc-text, #0f172a);--text-secondary: var(--gc-text-muted, #6bff5b);--accent-color: var(--gc-accent, #1c6a00);--panel-green: var(--gc-primary, #248a00);--panel-white: rgba(255, 255, 255, .92);--font-display: "Russo One", sans-serif;--font-ui: "VT323", sans-serif;color:var(--text-primary);width:100%}.gc-assumption-toggle *,.gc-assumption-toggle *:before,.gc-assumption-toggle *:after{box-sizing:border-box}.gc-assumption-toggle .component-shell{min-height:100%;display:flex;align-items:center;justify-content:center;padding:24px 0;background:var(--shell-bg)}.gc-assumption-toggle 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rotate(0)}to{transform:rotate(400deg) translate(34px) translateY(-14px) rotate(-360deg)}}@keyframes assumption-orbit-three{0%{transform:rotate(-20deg) translate(64px) translateY(4px) rotate(0)}to{transform:rotate(340deg) translate(64px) translateY(4px) rotate(-360deg)}}')),document.head.appendChild(t)}}catch(e){console.error("vite-plugin-css-injected-by-js",e)}})(); +import { jsx as A, jsxs as B } from "react/jsx-runtime"; +import { useState as h, useRef as O, useEffect as a } from "react"; +const HA = 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", cA = "glitch:play-sound", QA = "glitch:stop-sound", FA = "glitch:host:", P = { + click: "ui.button_click", + hover: "ui.button_hover", + computeStart: "machine.compute_start", + computeStep: "machine.compute_step", + computeDone: "machine.compute_done", + verdictStable: "machine.verdict_stable", + verdictAlert: "machine.verdict_alert" +}; +function J(w, C) { + typeof window > "u" || window.dispatchEvent(new CustomEvent(w, { detail: C })); +} +function o(w, C, D) { + try { + if (w != null && w.playSound) { + w.playSound(C, D); + return; + } + } catch { + } + J(cA, { id: C, payload: D }); +} +function Z(w, C, D) { + try { + if (w != null && w.stopSound) { + w.stopSound(C, D); + return; + } + } catch { + } + J(QA, { id: C, payload: D }); +} +function z(w, C, D) { + try { + if (w != null && w.emit) { + w.emit(C, D); + return; + } + } catch { + } + J(`${FA}${C}`, D); +} +const v = { + continuousUniverse: !0, + infinitePrecision: !0, + chunkParticles: !1 +}, E = { + "000": { + outcome: "Paradoxical", + intermediate: "Very very much information.", + description: "Space is supposed to be discrete, but each cell must contain ar arbitrary amount of information.", + visualClass: "paradox-point", + tone: "paradox" + }, + "001": { + outcome: "Digital Physics", + intermediate: "Instruction programs remain finite.", + description: "Stable but requires continuous rotational symmetry to be emergent", + visualClass: "stable-chunk", + tone: "stable" + }, + "010": { + outcome: "#1 Memory Paradox", + intermediate: "Move sets can scale to infinite length", + description: "Infinte memory per cell", + visualClass: "paradox-point", + tone: "paradox" + }, + "011": { + outcome: "#2 Memory Paradox", + intermediate: "Move sets can scale to infinite length", + description: "Chunky particles must grow without bound to hold infinite move set", + visualClass: "paradox-chunk", + tone: "paradox" + }, + 100: { + outcome: "Paradoxical", + intermediate: "Chunky geometry implies discrete space", + description: "A continuous universe with chunky particles spanning fundamental cells is a constadiction.", + visualClass: "non-standard-particle-point", + tone: "warning" + }, + 101: { + outcome: "Paradoxical", + intermediate: "The geometry breaks isotropy.", + description: "Continuous universe plus chunk particles that imply discrete space is a constradiction.", + visualClass: "non-standard-particle-chunk", + tone: "warning" + }, + 110: { + outcome: "Standard Physics", + intermediate: "The model remains isotropic.", + description: "Continuous space with infinite precision preserves the canonical picture.", + visualClass: "standard-particle-point", + tone: "stable" + }, + 111: { + outcome: "Contradictory", + intermediate: "Continuous universe cannot be combined with chunk particles.", + description: "Chunky cannot be not chunky", + visualClass: "standard-particle-chunk", + tone: "uncertain" + } +}, p = { + "000": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Point state exceeds single-cell information budget" }, + { label: "Verdict trace", value: "Single cell must have arbitrary information capacity" } + ], + "001": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "State remains compressible under finite instruction length" }, + { label: "Verdict trace", value: "Digital physics interpretation remains internally stable" } + ], + "010": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Each lattice cell requires unbounded memory" }, + { label: "Verdict trace", value: "Inconsistent with isotropy" } + ], + "011": [ + { label: "Universe model", value: "Discrete" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Chunk particle" }, + { label: "Consistency check", value: "Particles grow to express information" }, + { label: "Verdict trace", value: "Chunk particles grow to infinite size" } + ], + 100: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Severely demotivated" }, + { label: "Verdict trace", value: "No explanation for rejecting CRS. Smell detected." } + ], + 101: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Finite (Rejects CRS!)" }, + { label: "Requirement", value: "Isotropy is emergent" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "Space is quantized but cells infinitely small" }, + { label: "Verdict trace", value: "Non-standard hybrid geometry. Smell detected" } + ], + 110: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Point particle" }, + { label: "Consistency check", value: "Canonical isotropic field picture remains intact" }, + { label: "Verdict trace", value: "Standard physics baseline recovered successfully" } + ], + 111: [ + { label: "Universe model", value: "Continuous manifold" }, + { label: "Precision model", value: "Infinite (CRS)" }, + { label: "Particle mode", value: "Chunk particle geometry engaged" }, + { label: "Consistency check", value: "Inconsistent." }, + { label: "Verdict trace", value: "Chunk particle cannot be not chunky" } + ] +}; +function r(w, C) { + return typeof w == "boolean" ? w : C; +} +function f(w) { + return { + continuousUniverse: r(w == null ? void 0 : w.continuousUniverse, v.continuousUniverse), + infinitePrecision: r(w == null ? void 0 : w.infinitePrecision, v.infinitePrecision), + chunkParticles: r(w == null ? void 0 : w.chunkParticles, v.chunkParticles) + }; +} +function t(w) { + return [ + w.continuousUniverse ? "1" : "0", + w.infinitePrecision ? "1" : "0", + w.chunkParticles ? "1" : "0" + ].join(""); +} +function R(w) { + const C = w.continuousUniverse ? "Continuous universe" : "Discrete universe", D = w.infinitePrecision ? "Infinite precision" : "Finite precision", s = w.chunkParticles ? 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[]; + let Y = !1; + V([]), K(""); + const Q = (e, y) => { + if (Y) + return; + if (e >= g.length) { + L(() => { + if (Y) + return; + const F = E[H]; + o(i.current, P.computeDone, { state: H }), I("result", () => { + var m; + (m = W.current) == null || m.call(W, 100), o( + i.current, + F.tone === "stable" ? 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"paradox-errors" : ""}`, children: /* @__PURE__ */ B("div", { className: `slides-wrapper ${T}`, children: [ + x === "splash" && /* @__PURE__ */ A("div", { className: "slide slide-splash", children: /* @__PURE__ */ B("div", { className: "splash-content", children: [ + /* @__PURE__ */ A("h1", { children: "Foundational Assumption Recombinator Tool" }), + /* @__PURE__ */ A("h2", { children: "v1.0" }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button", + onClick: gA, + onMouseEnter: () => M("initialize"), + onFocus: () => M("initialize"), + children: "Initialize" + } + ) + ] }) }), + x === "controls" && /* @__PURE__ */ B("div", { className: "slide slide-controls", children: [ + /* @__PURE__ */ A("div", { className: "widget-header", children: /* @__PURE__ */ A("h1", { children: "Settings" }) }), + /* @__PURE__ */ B("div", { className: "switch-group", children: [ + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-universe`, + className: "switch-input", + type: "checkbox", + checked: G.continuousUniverse, + onChange: (g) => l("continuousUniverse", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-universe`, + onMouseEnter: () => M("toggle-universe"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Discrete Universe" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Continuous Universe" }) + ] + } + ) + ] }), + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-precision`, + className: "switch-input", + type: "checkbox", + checked: G.infinitePrecision, + onChange: (g) => l("infinitePrecision", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-precision`, + onMouseEnter: () => M("toggle-precision"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Finite Precision" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Infinite Precision" }) + ] + } + ) + ] }), + /* @__PURE__ */ B("div", { className: "switch-item", children: [ + /* @__PURE__ */ A( + "input", + { + id: `${w.id}-toggle-particles`, + className: "switch-input", + type: "checkbox", + checked: G.chunkParticles, + onChange: (g) => l("chunkParticles", g.target.checked) + } + ), + /* @__PURE__ */ B( + "label", + { + className: "toggle-track", + htmlFor: `${w.id}-toggle-particles`, + onMouseEnter: () => M("toggle-particles"), + children: [ + /* @__PURE__ */ A("span", { className: "option-left", children: "Point Particles" }), + /* @__PURE__ */ A("span", { className: "option-right", children: "Chunk Particles" }) + ] + } + ) + ] }) + ] }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button", + onClick: BA, + onMouseEnter: () => M("simulate"), + onFocus: () => M("simulate"), + children: "Simulate" + } + ) + ] }), + x === "result" && /* @__PURE__ */ B("div", { className: "slide slide-result", children: [ + /* @__PURE__ */ B("div", { className: "bottom-container", children: [ + /* @__PURE__ */ A("div", { className: "visualization-container", children: /* @__PURE__ */ A("div", { className: `art-canvas ${j.visualClass}`, children: /* @__PURE__ */ A(MA, { visualClass: j.visualClass }) }) }), + /* @__PURE__ */ B("div", { className: "result-container", children: [ + /* @__PURE__ */ A("div", { className: "summary-box", children: /* @__PURE__ */ A("span", { className: `result-value result-${j.tone}`, children: j.outcome }) }), + /* @__PURE__ */ A("div", { className: "summary-box", children: /* @__PURE__ */ A("div", { className: "intermediate-result", children: j.intermediate }) }), + /* @__PURE__ */ A("span", { className: "result-description", children: j.description }) + ] }) + ] }), + /* @__PURE__ */ A( + "button", + { + type: "button", + className: "action-button secondary", + onClick: sA, + onMouseEnter: () => M("back"), + onFocus: () => M("back"), + children: "Back" + } + ) + ] }), + x === "processing" && /* @__PURE__ */ A("div", { className: "slide slide-processing", children: /* @__PURE__ */ B("div", { className: "processing-shell", children: [ + /* @__PURE__ */ B("div", { className: "processing-header", children: [ + /* @__PURE__ */ A("span", { className: "processing-led" }), + /* @__PURE__ */ A("h2", { children: "Computing Assumption Matrix" }) + ] }), + /* @__PURE__ */ A("div", { className: "processing-subtitle", children: "Applying Constructor Theoretic Constraints" }), + /* @__PURE__ */ B("div", { className: "processing-terminal", children: [ + wA.map((g, Y) => /* @__PURE__ */ B("div", { className: "processing-line", children: [ + /* @__PURE__ */ A("span", { className: "processing-prompt", children: ">" }), + /* @__PURE__ */ A("span", { children: g }) + ] }, `${g}-${Y}`)), + /* @__PURE__ */ B("div", { className: "processing-line processing-line-active", children: [ + /* @__PURE__ */ A("span", { className: "processing-prompt", children: ">" }), + /* @__PURE__ */ A("span", { children: DA }), + /* @__PURE__ */ A("span", { className: "processing-cursor" }) + ] }) + ] }) + ] }) }) + ] }) }) }) }) }); +} +const jA = { + name: "assumption-toggle", + displayName: "Assumption Toggle", + version: "1.0.0", + paramSchema: { + continuousUniverse: { + type: "boolean", + label: "Continuous Universe", + description: "Toggle between a discrete and continuous universe model.", + default: !0 + }, + infinitePrecision: { + type: "boolean", + label: "Infinite Precision", + description: "Toggle between finite and infinite precision.", + default: !0 + }, + chunkParticles: { + type: "boolean", + label: "Chunk Particles", + description: "Toggle between point particles and chunk particles.", + default: !1 + } + }, + defaultParams: { + continuousUniverse: !0, + infinitePrecision: !0, + chunkParticles: !1 + } +}; +export { + xA as default, + jA as metadata +}; +//# sourceMappingURL=assumption-toggle.js.map diff --git a/public/glitch/glitch_assumption_toggle/assumption-toggle.js.map b/public/glitch/glitch_assumption_toggle/assumption-toggle.js.map new file mode 100644 index 0000000..d52bfd3 --- /dev/null +++ b/public/glitch/glitch_assumption_toggle/assumption-toggle.js.map @@ -0,0 +1 @@ +{"version":3,"file":"assumption-toggle.js","sources":["../technoborder.png","../src/hostBridge.ts","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["export default 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\"","import type { GlitchHostBridge } from './types';\n\nexport const HOST_SOUND_EVENT = 'glitch:play-sound';\nexport const HOST_STOP_SOUND_EVENT = 'glitch:stop-sound';\nexport const HOST_EMIT_PREFIX = 'glitch:host:';\n\nexport const SOUND_IDS = {\n click: 'ui.button_click',\n hover: 'ui.button_hover',\n computeStart: 'machine.compute_start',\n computeStep: 'machine.compute_step',\n computeDone: 'machine.compute_done',\n verdictStable: 'machine.verdict_stable',\n verdictAlert: 'machine.verdict_alert'\n} as const;\n\nexport type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS];\n\nfunction dispatchWindowEvent(type: string, detail: T) {\n if (typeof window === 'undefined') return;\n window.dispatchEvent(new CustomEvent(type, { detail }));\n}\n\nexport function safePlaySound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.playSound) {\n host.playSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_SOUND_EVENT, { id, payload });\n}\n\nexport function safeStopSound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.stopSound) {\n host.stopSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_STOP_SOUND_EVENT, { id, payload });\n}\n\nexport function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown) {\n try {\n if (host?.emit) {\n host.emit(type, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(`${HOST_EMIT_PREFIX}${type}`, payload);\n}\n","import { useEffect, useRef, useState, type CSSProperties } from 'react';\nimport frameImage from '../technoborder.png';\nimport { SOUND_IDS, safeEmit, safePlaySound, safeStopSound } from './hostBridge';\nimport type { GlitchComponentProps } from './types';\n\ntype Screen = 'splash' | 'controls' | 'processing' | 'result';\ntype ProcessingLine = {\n label: string;\n value: string;\n};\ntype TransitionState = '' | 'crt-collapse' | 'crt-expand';\ntype VisualClass =\n | 'paradox-point'\n | 'stable-chunk'\n | 'paradox-chunk'\n | 'non-standard-particle-point'\n | 'non-standard-particle-chunk'\n | 'standard-particle-point'\n | 'standard-particle-chunk';\ntype OutcomeTone = 'stable' | 'warning' | 'paradox' | 'uncertain';\n\ntype ToggleState = {\n continuousUniverse: boolean;\n infinitePrecision: boolean;\n chunkParticles: boolean;\n};\n\ntype OutcomeDefinition = {\n outcome: string;\n description: string;\n intermediate: string;\n visualClass: VisualClass;\n tone: OutcomeTone;\n};\n\nconst DEFAULT_STATE: ToggleState = {\n continuousUniverse: true,\n infinitePrecision: true,\n chunkParticles: false\n};\n\nconst OUTCOMES: Record = {\n '000': {\n outcome: 'Paradoxical',\n intermediate: 'Very very much information.',\n description: 'Space is supposed to be discrete, but each cell must contain ar arbitrary amount of information.',\n visualClass: 'paradox-point',\n tone: 'paradox'\n },\n '001': {\n outcome: 'Digital Physics',\n intermediate: 'Instruction programs remain finite.',\n description: 'Stable but requires continuous rotational symmetry to be emergent',\n visualClass: 'stable-chunk',\n tone: 'stable'\n },\n '010': {\n outcome: '#1 Memory Paradox',\n intermediate: 'Move sets can scale to infinite length',\n description: 'Infinte memory per cell',\n visualClass: 'paradox-point',\n tone: 'paradox'\n },\n '011': {\n outcome: '#2 Memory Paradox',\n intermediate: 'Move sets can scale to infinite length',\n description: 'Chunky particles must grow without bound to hold infinite move set',\n visualClass: 'paradox-chunk',\n tone: 'paradox'\n },\n '100': {\n outcome: 'Paradoxical',\n intermediate: 'Chunky geometry implies discrete space',\n description: 'A continuous universe with chunky particles spanning fundamental cells is a constadiction.',\n visualClass: 'non-standard-particle-point',\n tone: 'warning'\n },\n '101': {\n outcome: 'Paradoxical',\n intermediate: 'The geometry breaks isotropy.',\n description: 'Continuous universe plus chunk particles that imply discrete space is a constradiction.',\n visualClass: 'non-standard-particle-chunk',\n tone: 'warning'\n },\n '110': {\n outcome: 'Standard Physics',\n intermediate: 'The model remains isotropic.',\n description: 'Continuous space with infinite precision preserves the canonical picture.',\n visualClass: 'standard-particle-point',\n tone: 'stable'\n },\n '111': {\n outcome: 'Contradictory',\n intermediate: 'Continuous universe cannot be combined with chunk particles.',\n description: 'Chunky cannot be not chunky',\n visualClass: 'standard-particle-chunk',\n tone: 'uncertain'\n }\n};\n\nconst PROCESSING_LOGS: Record = {\n \"000\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Point state exceeds single-cell information budget\" },\n { label: \"Verdict trace\", value: \"Single cell must have arbitrary information capacity\" }\n ],\n \"001\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"State remains compressible under finite instruction length\" },\n { label: \"Verdict trace\", value: \"Digital physics interpretation remains internally stable\" }\n ],\n \"010\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Each lattice cell requires unbounded memory\" },\n { label: \"Verdict trace\", value: \"Inconsistent with isotropy\" }\n ],\n \"011\": [\n { label: \"Universe model\", value: \"Discrete\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Chunk particle\" },\n { label: \"Consistency check\", value: \"Particles grow to express information\" },\n { label: \"Verdict trace\", value: \"Chunk particles grow to infinite size\" }\n ],\n \"100\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Severely demotivated\" },\n { label: \"Verdict trace\", value: \"No explanation for rejecting CRS. Smell detected.\" }\n ],\n \"101\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Finite (Rejects CRS!)\" },\n { label: \"Requirement\", value: \"Isotropy is emergent\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"Space is quantized but cells infinitely small\" },\n { label: \"Verdict trace\", value: \"Non-standard hybrid geometry. Smell detected\" }\n ],\n \"110\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Point particle\" },\n { label: \"Consistency check\", value: \"Canonical isotropic field picture remains intact\" },\n { label: \"Verdict trace\", value: \"Standard physics baseline recovered successfully\" }\n ],\n \"111\": [\n { label: \"Universe model\", value: \"Continuous manifold\" },\n { label: \"Precision model\", value: \"Infinite (CRS)\" },\n { label: \"Particle mode\", value: \"Chunk particle geometry engaged\" },\n { label: \"Consistency check\", value: \"Inconsistent.\" },\n { label: \"Verdict trace\", value: \"Chunk particle cannot be not chunky\" }\n ]\n};\n\nfunction coerceBoolean(value: unknown, fallback: boolean) {\n if (typeof value === 'boolean') return value;\n return fallback;\n}\n\nfunction readToggleState(params: Record | undefined): ToggleState {\n return {\n continuousUniverse: coerceBoolean(params?.continuousUniverse, DEFAULT_STATE.continuousUniverse),\n infinitePrecision: coerceBoolean(params?.infinitePrecision, DEFAULT_STATE.infinitePrecision),\n chunkParticles: coerceBoolean(params?.chunkParticles, DEFAULT_STATE.chunkParticles)\n };\n}\n\nfunction buildStateKey(state: ToggleState) {\n return [\n state.continuousUniverse ? '1' : '0',\n state.infinitePrecision ? '1' : '0',\n state.chunkParticles ? '1' : '0'\n ].join('');\n}\n\nfunction buildAssumptionsText(state: ToggleState) {\n const universe = state.continuousUniverse ? 'Continuous universe' : 'Discrete universe';\n const precision = state.infinitePrecision ? 'Infinite precision' : 'Finite precision';\n const particles = state.chunkParticles ? 'Chunk particles' : 'Point particles';\n return `${universe} + ${precision} + ${particles}`;\n}\n\nfunction getScore(outcome: OutcomeDefinition) {\n if (outcome.tone === 'stable') return 100;\n if (outcome.tone === 'uncertain') return 60;\n if (outcome.tone === 'warning') return 40;\n return 20;\n}\n\nfunction Visualization({ visualClass }: { visualClass: VisualClass }) {\n if (visualClass === 'paradox-point') {\n return (\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n ∞\n
\n
\n );\n }\n\n if (visualClass === 'stable-chunk') {\n return (\n
\n
\n {Array.from({ length: 9 }, (_, index) => (\n \n ))}\n
\n
\n \n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'paradox-chunk') {\n return (\n
\n
\n
\n
\n
\n
\n
\n
\n
\n {Array.from({ length: 10 }, (_, index) => (\n
\n
\n
\n
\n
\n
\n
\n
\n ))}\n
\n );\n }\n\n if (visualClass === 'non-standard-particle-point') {\n return (\n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'non-standard-particle-chunk') {\n return (\n
\n
\n
\n
\n
\n );\n }\n\n if (visualClass === 'standard-particle-point') {\n return (\n
\n
\n
\n
\n
\n
\n
\n \n \n \n
\n );\n }\n\n return (\n
\n
\n
\n
\n
\n
\n
\n \n \n \n
\n ?\n
\n
\n );\n}\n\nexport default function AssumptionToggle({\n config,\n onComplete,\n onProgress,\n theme,\n className,\n host\n}: GlitchComponentProps) {\n const [toggleState, setToggleState] = useState(() => readToggleState(config.params));\n const [screen, setScreen] = useState('splash');\n const [transitionState, setTransitionState] = useState('');\n const [result, setResult] = useState(() => OUTCOMES[buildStateKey(readToggleState(config.params))]);\n const [processingKey, setProcessingKey] = useState(() => buildStateKey(readToggleState(config.params)));\n const [processingAssumptions, setProcessingAssumptions] = useState(() =>\n buildAssumptionsText(readToggleState(config.params))\n );\n const [completedLines, setCompletedLines] = useState([]);\n const [activeLine, setActiveLine] = useState('');\n const timeoutsRef = useRef([]);\n const hostRef = useRef(host);\n const onCompleteRef = useRef(onComplete);\n const onProgressRef = useRef(onProgress);\n\n useEffect(() => {\n setToggleState(readToggleState(config.params));\n }, [config.params]);\n\n useEffect(() => {\n hostRef.current = host;\n onCompleteRef.current = onComplete;\n onProgressRef.current = onProgress;\n }, [host, onComplete, onProgress]);\n\n useEffect(() => {\n if (screen !== 'processing') return;\n\n const lines = PROCESSING_LOGS[processingKey] ?? [];\n let cancelled = false;\n\n setCompletedLines([]);\n setActiveLine('');\n\n const typeLine = (lineIndex: number, charIndex: number) => {\n if (cancelled) return;\n\n if (lineIndex >= lines.length) {\n queueTimeout(() => {\n if (cancelled) return;\n const finalResult = OUTCOMES[processingKey];\n safePlaySound(hostRef.current, SOUND_IDS.computeDone, { state: processingKey });\n runTransition('result', () => {\n onProgressRef.current?.(100);\n safePlaySound(\n hostRef.current,\n finalResult.tone === 'stable' ? SOUND_IDS.verdictStable : SOUND_IDS.verdictAlert,\n { state: processingKey, outcome: finalResult.outcome }\n );\n safeEmit(hostRef.current, 'verdict-ready', {\n state: processingKey,\n outcome: finalResult.outcome,\n tone: finalResult.tone\n });\n onCompleteRef.current({\n success: true,\n score: getScore(finalResult),\n data: {\n assumptions: processingAssumptions,\n state: processingKey,\n outcome: finalResult.outcome,\n intermediate: finalResult.intermediate,\n description: finalResult.description,\n processingTrace: PROCESSING_LOGS[processingKey].map((entry) => `${entry.label}: ${entry.value}`)\n }\n });\n });\n }, 520);\n return;\n }\n\n const fullLine = `${lines[lineIndex].label}: ${lines[lineIndex].value}`;\n\n if (charIndex <= fullLine.length) {\n if (charIndex === 0) {\n safePlaySound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey, lineIndex });\n }\n setActiveLine(fullLine.slice(0, charIndex));\n queueTimeout(() => typeLine(lineIndex, charIndex + 1), 24);\n return;\n }\n\n setCompletedLines((current) => [...current, fullLine]);\n setActiveLine('');\n if (lineIndex === lines.length - 1) {\n safeStopSound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey, lineIndex });\n }\n queueTimeout(() => typeLine(lineIndex + 1, 0), 170);\n };\n\n queueTimeout(() => typeLine(0, 0), 180);\n\n return () => {\n cancelled = true;\n safeStopSound(hostRef.current, SOUND_IDS.computeStep, { state: processingKey });\n };\n }, [processingAssumptions, processingKey, screen]);\n\n useEffect(() => {\n return () => {\n clearQueuedTimeouts();\n };\n }, []);\n\n function clearQueuedTimeouts() {\n for (const timeout of timeoutsRef.current) {\n window.clearTimeout(timeout);\n }\n timeoutsRef.current = [];\n }\n\n function queueTimeout(callback: () => void, delay: number) {\n const timeout = window.setTimeout(callback, delay);\n timeoutsRef.current.push(timeout);\n }\n\n function runTransition(nextScreen: Screen, onSwapped?: () => void) {\n clearQueuedTimeouts();\n setTransitionState('crt-collapse');\n queueTimeout(() => {\n setScreen(nextScreen);\n onSwapped?.();\n setTransitionState('crt-expand');\n queueTimeout(() => {\n setTransitionState('');\n }, 110);\n }, 110);\n }\n\n function setToggle(key: K, value: ToggleState[K]) {\n setToggleState(current => ({ ...current, [key]: value }));\n safePlaySound(host, SOUND_IDS.click, { control: key, value });\n }\n\n function handleUiHover(target: string) {\n safePlaySound(host, SOUND_IDS.hover, { target });\n }\n\n function handleInitialize() {\n safeEmit(host, 'session-started', { component: config.name, id: config.id });\n onProgress?.(10);\n runTransition('controls');\n }\n\n function handleSimulate() {\n const nextKey = buildStateKey(toggleState);\n const nextResult = OUTCOMES[nextKey];\n const nextAssumptions = buildAssumptionsText(toggleState);\n setProcessingKey(nextKey);\n setProcessingAssumptions(nextAssumptions);\n setResult(nextResult);\n safePlaySound(host, SOUND_IDS.computeStart, { state: nextKey });\n safeEmit(host, 'processing-started', {\n state: nextKey,\n assumptions: nextAssumptions\n });\n onProgress?.(45);\n runTransition('processing', () => {\n onProgress?.(70);\n });\n }\n\n function handleBack() {\n clearQueuedTimeouts();\n safeStopSound(host, SOUND_IDS.computeStep, { state: processingKey });\n safeEmit(host, 'returned-to-controls', { state: processingKey });\n onProgress?.(20);\n runTransition('controls');\n }\n\n const assumptionsText = buildAssumptionsText(toggleState);\n const showParadoxScreen = screen === 'result' && result.visualClass.includes('paradox');\n const rootStyle = {\n '--gc-primary': theme?.primary || '#248a00',\n '--gc-accent': theme?.accent || '#1c6a00',\n '--gc-bg': theme?.bg || '#ffffff',\n '--gc-bg-secondary': theme?.bgSecondary || '#616161',\n '--gc-text': theme?.text || '#0f172a',\n '--gc-text-muted': theme?.textMuted || '#eaffd8',\n '--gc-border': theme?.border || 'rgba(255,255,255,0.12)',\n '--assumption-frame-image': `url(${frameImage})`\n } as CSSProperties;\n\n return (\n
\n
\n
\n
\n
\n {screen === 'splash' && (\n
\n
\n

Foundational Assumption Recombinator Tool

\n

v1.0

\n handleUiHover('initialize')}\n onFocus={() => handleUiHover('initialize')}\n >\n Initialize\n \n
\n
\n )}\n\n {screen === 'controls' && (\n
\n
\n

Settings

\n
\n\n
\n
\n setToggle('continuousUniverse', event.target.checked)}\n />\n handleUiHover('toggle-universe')}\n >\n Discrete Universe\n Continuous Universe\n \n
\n\n
\n setToggle('infinitePrecision', event.target.checked)}\n />\n handleUiHover('toggle-precision')}\n >\n Finite Precision\n Infinite Precision\n \n
\n\n
\n setToggle('chunkParticles', event.target.checked)}\n />\n handleUiHover('toggle-particles')}\n >\n Point Particles\n Chunk Particles\n \n
\n
\n\n handleUiHover('simulate')}\n onFocus={() => handleUiHover('simulate')}\n >\n Simulate\n \n
\n )}\n\n {screen === 'result' && (\n
\n
\n
\n
\n \n
\n
\n\n
\n \n
\n {result.outcome}\n
\n\n
\n \n
{result.intermediate}
\n
\n {result.description}\n
\n\n \n
\n\n handleUiHover('back')}\n onFocus={() => handleUiHover('back')}\n >\n Back\n \n
\n )}\n\n {screen === 'processing' && (\n
\n
\n
\n \n

Computing Assumption Matrix

\n
\n
Applying Constructor Theoretic Constraints
\n
\n {completedLines.map((line, index) => (\n
\n >\n {line}\n
\n ))}\n
\n >\n {activeLine}\n \n
\n
\n
\n
\n )}\n
\n
\n
\n
\n
\n );\n}\n","import './styles.css';\nimport Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'assumption-toggle',\n displayName: 'Assumption Toggle',\n version: '1.0.0',\n paramSchema: {\n continuousUniverse: {\n type: 'boolean',\n label: 'Continuous Universe',\n description: 'Toggle between a discrete and continuous universe model.',\n default: true\n },\n infinitePrecision: {\n type: 'boolean',\n label: 'Infinite Precision',\n description: 'Toggle between finite and infinite precision.',\n default: true\n },\n chunkParticles: {\n type: 'boolean',\n label: 'Chunk Particles',\n description: 'Toggle between point particles and chunk particles.',\n default: false\n }\n },\n defaultParams: {\n continuousUniverse: true,\n infinitePrecision: true,\n chunkParticles: false\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n 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\ No newline at end of file diff --git a/public/glitch/glitch_assumption_toggle/dev.d.ts b/public/glitch/glitch_assumption_toggle/dev.d.ts new file mode 100644 index 0000000..2c068e0 --- /dev/null +++ b/public/glitch/glitch_assumption_toggle/dev.d.ts @@ -0,0 +1 @@ +import './dev-theme.css'; diff --git a/public/glitch/glitch_assumption_toggle/devHostBridge.d.ts b/public/glitch/glitch_assumption_toggle/devHostBridge.d.ts new file mode 100644 index 0000000..3fba17e --- /dev/null +++ b/public/glitch/glitch_assumption_toggle/devHostBridge.d.ts @@ -0,0 +1,8 @@ +import type { GlitchHostBridge } from './types'; +export type DevHostBridgeOptions = { + isMuted?: () => boolean; + onSound?: (id: string, payload?: Record) => void; + onEmit?: (type: string, payload?: unknown) => void; +}; +export declare function createDevHostBridge(options?: DevHostBridgeOptions): GlitchHostBridge; +export declare function attachWindowSoundBridge(host: GlitchHostBridge): () => void; diff --git a/public/glitch/glitch_assumption_toggle/glitch.manifest.json b/public/glitch/glitch_assumption_toggle/glitch.manifest.json new file mode 100644 index 0000000..15df320 --- /dev/null +++ b/public/glitch/glitch_assumption_toggle/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "assumption-toggle", + "displayName": "Assumption Toggle", + "version": "1.0.0", + "folderName": "glitch_assumption_toggle", + "packageName": "@nommo/assumption-toggle", + "entry": "dist/assumption-toggle.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "crt", + "logic" + ] +} diff --git a/public/glitch/glitch_assumption_toggle/hostBridge.d.ts b/public/glitch/glitch_assumption_toggle/hostBridge.d.ts new file mode 100644 index 0000000..fa85f46 --- /dev/null +++ b/public/glitch/glitch_assumption_toggle/hostBridge.d.ts @@ -0,0 +1,17 @@ +import type { GlitchHostBridge } from './types'; +export declare const HOST_SOUND_EVENT = "glitch:play-sound"; +export declare const HOST_STOP_SOUND_EVENT = "glitch:stop-sound"; +export declare const HOST_EMIT_PREFIX = "glitch:host:"; +export declare const SOUND_IDS: { + readonly click: "ui.button_click"; + readonly hover: "ui.button_hover"; + readonly computeStart: "machine.compute_start"; + readonly computeStep: "machine.compute_step"; + readonly computeDone: "machine.compute_done"; + readonly verdictStable: "machine.verdict_stable"; + readonly verdictAlert: "machine.verdict_alert"; +}; +export type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS]; +export declare function safePlaySound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeStopSound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown): void; diff --git a/public/glitch/glitch_assumption_toggle/index.d.ts b/public/glitch/glitch_assumption_toggle/index.d.ts new file mode 100644 index 0000000..40a25ac --- /dev/null +++ b/public/glitch/glitch_assumption_toggle/index.d.ts @@ -0,0 +1,6 @@ +import './styles.css'; +import Component from './Component'; +import type { GlitchComponentMetadata } from './types'; +export default Component; +export declare const metadata: GlitchComponentMetadata; +export type { GlitchComponentProps, GlitchComponentConfig, GlitchComponentResult } from './types'; diff --git a/public/glitch/glitch_assumption_toggle/sounds/.DS_Store b/public/glitch/glitch_assumption_toggle/sounds/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0qxn%n!URkn6(-IdLXz?4p9YLOEGEzN0F2CFOz}@* z7fY^MAXdV-@MOS0o%BAr=o?cYgC-FmsfDb5b#q?epY*>$BQz;NDE9{ALYI%+m{mn0 z^w@}Gp!up@L?w+Z6MYGo9LggCblLo`F%VD~UHIpiXqFXJX!UQn04pCzr34YYByuy_ 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version: string; + params: Record; +} +export interface GlitchHostBridge { + playSound?: (id: string, payload?: Record) => void; + stopSound?: (id: string, payload?: Record) => void; + emit?: (type: string, payload?: unknown) => void; +} +export interface GlitchComponentProps { + config: GlitchComponentConfig; + onComplete: (result: GlitchComponentResult) => void; + onProgress?: (percent: number) => void; + theme?: GlitchTheme; + className?: string; + host?: GlitchHostBridge; +} +export interface GlitchComponentResult { + success: boolean; + score?: number; + data?: unknown; + error?: string; +} +export interface GlitchTheme { + primary: string; + accent: string; + bg: string; + bgSecondary: string; + text: string; + textMuted: string; + border: string; +} +export interface GlitchComponentMetadata { + name: string; + displayName: string; + version: string; + paramSchema: ParamSchema; + defaultParams: Record; +} +export interface ParamSchema { + [key: string]: { + type: 'number' | 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"};function $0({type:v}){if(v==="count-wavelength-time")return f.jsx("div",{className:"ccd-mini-diagram ccd-mini-diagram-grid","aria-hidden":"true",children:Array.from({length:12},(b,o)=>f.jsx("span",{className:"ccd-mini-diagram-grid-cell",style:{opacity:.28+o%4*.14}},o))});const z=v==="count-time"?[.28,.58,.38,.76,.46,.66]:v==="energy-time"?[.22,.5,.42,.88,.56,.72]:[.2,.32,.48,.84,.6,.3];return f.jsx("div",{className:"ccd-mini-diagram","aria-hidden":"true",children:z.map((b,o)=>f.jsx("span",{className:`ccd-mini-diagram-bar${v!=="count-time"?" is-energy":""}`,style:{height:`${b*100}%`}},o))})}function F0({page:v,onSelect:z,showGuide:b,onToggleGuide:o}){const A=v==="receptor",_=v==="photon",C=v==="eventlist";return f.jsxs("section",{className:"ccd-selector","aria-label":"Visualization selector",children:[f.jsxs("div",{className:"ccd-selector-root",children:[f.jsx("span",{className:"ccd-stat-label",children:"These plots are different ways of binning the same event list."}),f.jsx("p",{children:"Everything begins with the CCD receiving photons. 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The energy of all the photons in each frequency bin integrated over some period (here last 12 secs) gives us the shape of the spectrum during that time."},uv={stepLabel:"Step 6",title:"Spectral power",body:"Spectral power reveals the energy distribution, and it´s very important for many applications. It can tell us a lot about how stars work"};function cv({spectrogramBins:v}){const z=Math.max(...v.flat(),1);return f.jsx("div",{className:"ccd-page",children:f.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[f.jsxs("div",{className:"ccd-chart-head",children:[f.jsx("span",{className:"ccd-stat-label",children:"Clicks per 1.0 s time bin"}),f.jsxs("strong",{children:[Ke," time bins x ",$l.length," frequency bins"]})]}),f.jsxs("div",{className:"ccd-spectrogram-shell",children:[f.jsx("div",{className:"ccd-spectrogram-axis",children:$l.map(b=>f.jsx("span",{children:b.label},b.label))}),f.jsx("div",{className:"ccd-spectrogram","aria-label":"Spectrogram heat map",children:$l.map((b,o)=>f.jsx("div",{className:"ccd-spectrogram-row",children:v[o].map((A,_)=>f.jsx("span",{className:"ccd-spectrogram-cell",style:{background:je(o,A/z),boxShadow:A>0?`0 0 0.8rem ${je(o,A/z)}`:"none"}},`${b.label}-${_}`))},b.label))})]}),f.jsxs("div",{className:"ccd-spectrogram-footer",children:[f.jsx("span",{children:"Earlier"}),f.jsx("span",{children:"Now"})]})]})})}const iv={eyebrow:"Frequency X Time",title:"Periodo-spectro-gram!",description:"You can play around with the same data and make many charts! 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Maybe not for a lot of applications, but it looks pretty!"};function sv({fluxBins:v}){const z=v.some(il=>il>0)?v:[1.2,1.8,1.4,2.1,1.7,1.5,2.3,1.6,1.9,1.4,2,1.7],b=z.map((il,El)=>{const V=z.slice(0,El+1);return V.reduce((Rl,Tl)=>Rl+Tl,0)/V.length}),o=z[z.length-1]??0,A=z.reduce((il,El)=>il+El,0)/z.length,_=z.reduce((il,El)=>il+(El-A)**2,0)/z.length,C=Math.sqrt(_),L=Math.min(...z),O=Math.max(...z),E=Math.min(...b),G=Math.max(...b),H={min:Math.min(L,E),max:Math.max(O,G)},J=Sf(z,760,240,H),_l=M0(z,760,240,H),xl=Sf(b,760,240,H);return f.jsx("div",{className:"ccd-page",children:f.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[f.jsxs("div",{className:"ccd-chart-head",children:[f.jsx("span",{className:"ccd-stat-label",children:"Total energy per 1.0 s bin"}),f.jsxs("strong",{children:[o.toFixed(2)," energy units in latest bin"]})]}),f.jsxs("div",{className:"ccd-flux-chart-shell",children:[f.jsxs("svg",{className:"ccd-flux-chart",viewBox:"0 0 760 240","aria-label":"Total flux variability chart",preserveAspectRatio:"none",children:[f.jsxs("defs",{children:[f.jsxs("linearGradient",{id:"fluxArea",x1:"0",x2:"0",y1:"0",y2:"1",children:[f.jsx("stop",{offset:"0%",stopColor:"rgba(255, 113, 74, 0.40)"}),f.jsx("stop",{offset:"100%",stopColor:"rgba(125, 100, 255, 0.03)"})]}),f.jsxs("linearGradient",{id:"fluxLine",x1:"0",x2:"1",y1:"0",y2:"0",children:[f.jsx("stop",{offset:"0%",stopColor:"#ff8d66"}),f.jsx("stop",{offset:"55%",stopColor:"#ffd35d"}),f.jsx("stop",{offset:"100%",stopColor:"#8f7dff"})]})]}),z.map((il,El)=>{const V=760/z.length;return f.jsx("rect",{className:El%2===0?"ccd-flux-bin":"ccd-flux-bin ccd-flux-bin-alt",x:El*V,y:0,width:V,height:240},El)}),f.jsx("path",{className:"ccd-flux-area",d:_l,fill:"url(#fluxArea)"}),f.jsx("path",{className:"ccd-flux-line",d:J,stroke:"url(#fluxLine)"}),f.jsx("path",{className:"ccd-flux-mean-line",d:xl})]}),f.jsxs("div",{className:"ccd-flux-legend",children:[f.jsxs("span",{className:"ccd-flux-legend-item",children:[f.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-raw"}),f.jsx("span",{children:"Raw flux"})]}),f.jsxs("span",{className:"ccd-flux-legend-item",children:[f.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-mean"}),f.jsx("span",{children:"Running mean"})]})]}),f.jsxs("div",{className:"ccd-flux-axis",children:[f.jsx("span",{children:"Earlier"}),f.jsx("span",{children:"Now"})]})]}),f.jsxs("div",{className:"ccd-flux-metrics",children:[f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Mean flux"}),f.jsx("strong",{children:A.toFixed(4)})]}),f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Sigma"}),f.jsx("strong",{children:C.toFixed(4)})]}),f.jsxs("div",{className:"ccd-stat",children:[f.jsx("span",{className:"ccd-stat-label",children:"Range"}),f.jsxs("strong",{children:[L.toFixed(4)," to ",O.toFixed(4)]})]})]})]})})}const ov={eyebrow:"Flux Variability",title:"Total flux periodogram",description:"If we focus on the energy instead of the count, we get the flux - energy per second. 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o), ft = (r, o) => { + const d = Math.abs(o.x - r.x), p = Math.abs(o.y - r.y); + if (d === 0 && p === 0) return 0; + if (d === 0 || p === 0) return d + p; + const _ = ce(d, p); + return d / _ + p / _; +}, wt = (r) => new Promise((o) => { + window.setTimeout(o, r); +}), he = (r) => r === "Enter" || r === "NumpadEnter" || r === " " || r === "Space" || r === "Spacebar", bt = (r) => `${(r.x + 0.5) * G},${(r.y + 0.5) * G}`, z = (r) => Z(r, 0, ge.length - 1), ye = (r) => ge[z(r)], ae = (r) => { + const o = ye(r); + return o.dx + o.dy; +}, se = (r) => { + const o = ye(r), d = []; + for (let _ = 1; _ < C; _ += 1) { + const u = { + x: h.x + o.dx * _, + y: h.y - o.dy * _ + }; + if (!_e(u)) break; + Math.abs(u.x - h.x) + Math.abs(u.y - h.y) > ht && d.push(u); + } + if (d.length === 0) + return { + x: h.x + o.dx, + y: h.y - o.dy + }; + const p = Math.floor(Math.random() * d.length); + return d[p]; +}; +function Nt({ + config: r, + onComplete: o, + onProgress: d, + theme: p, + className: _ +}) { + const u = ne(() => { + const n = r.params.goalCaptures; + return typeof n != "number" ? mt : Z(Math.round(n), 1, 10); + }, [r.params.goalCaptures]), [v, le] = g(0), [N, W] = g(h), [$, ie] = g(() => se(0)), [y, q] = g([]), [B, U] = g([h]), [f, k] = g("idle"), [fe, O] = g(-1), [w, de] = g(0), [pe, L] = g(""), [R, F] = g("yes"), [I, Y] = g("continue"), [b, we] = g(!1), S = me(0), V = me(!1), i = f === "running", m = f === "gameOverPrompt" || f === "successPrompt" || f === "finished", J = ae(v), be = ne(() => p ? { + "--gc-primary": p.primary, + "--gc-accent": p.accent, + "--gc-bg": p.bg, + "--gc-bg-secondary": p.bgSecondary, + "--gc-text": p.text, + "--gc-text-muted": p.textMuted, + "--gc-border": p.border + } : {}, [p]); + oe(() => { + const n = w / u; + d == null || d(Math.round(Z(n * 100, 0, 100))); + }, [w, u, d]); + const j = x((n, t, s = "") => { + S.current += 1, k("idle"), le(z(n)), W(h), ie(se(n)), U([h]), O(-1), de(t), F("yes"), Y("continue"), L(s); + }, []), Q = x(() => { + j(v, 0, `Looking for a ${J}-step move set.`); + }, [v, J, j]), X = x((n = 0) => { + const t = z(v + 1), s = ae(t); + j(t, n, `Looking for a ${s}-step move set.`); + }, [v, j]), ee = x(() => { + V.current || (V.current = !0, S.current += 1, k("finished"), o({ + success: !1, + error: "Player chose no after game over.", + data: { + captures: w, + goalCaptures: u, + configId: r.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + hasEverSucceeded: b + } + })); + }, [w, r.id, u, b, o]), D = x(() => { + V.current || (V.current = !0, S.current += 1, k("finished"), o({ + success: !0, + score: 100, + data: { + captures: w, + goalCaptures: u, + configId: r.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + hasEverSucceeded: b + } + })); + }, [w, r.id, u, b, o]), M = x((n) => { + q((t) => i || m || t.length >= ut ? t : [...t, n]); + }, [m, i]), xe = x(() => { + i || m || q((n) => n.slice(0, -1)); + }, [m, i]), Ce = x(() => { + i || m || q([]); + }, [m, i]), Ne = x(() => { + S.current += 1, k("idle"), O(-1), L("Program stopped."); + }, []), Se = x(async () => { + if (i || m || y.length === 0) return; + const n = S.current + 1; + S.current = n; + let t = N, s = $, c = w, T = 0; + for (k("running"), O(-1), U([N]), L(""); S.current === n; ) + for (let P = 0; P < y.length; P += 1) { + if (await wt(pt), S.current !== n) return; + const H = y[P], K = gt[H], A = { + x: t.x + K.dx, + y: t.y + K.dy + }; + if (!_e(A)) { + k("gameOverPrompt"), F("yes"), O(-1), L(`Game over after ${T} step(s). Try again?`); + return; + } + if (T += 1, t = A, W(A), U((E) => [...E, A]), O(P), yt(A, s)) { + if (c += 1, de(c), we(!0), c >= u) { + k("successPrompt"), Y("continue"), O(-1), L(`Success. ${c} challenge(s) complete.`); + return; + } + const E = z(v + 1), re = se(E), Te = ae(E); + t = h, s = re, k("idle"), le(E), W(h), ie(re), U([h]), O(-1), L( + `Challenge ${c}/${u} complete. Looking for a ${Te}-step move set.` + ); + return; + } + } + }, [w, v, u, m, N, y, i, $]); + oe(() => { + const n = (t) => { + const s = { + ArrowUp: "up", + ArrowDown: "down", + ArrowLeft: "left", + ArrowRight: "right" + }; + if (f === "gameOverPrompt") { + if (t.key === "ArrowLeft" || t.key === "ArrowUp") { + t.preventDefault(), F("yes"); + return; + } + if (t.key === "ArrowRight" || t.key === "ArrowDown") { + t.preventDefault(), F("no"); + return; + } + he(t.key) && (t.preventDefault(), R === "yes" ? Q() : b ? D() : ee()); + return; + } + if (f === "successPrompt") { + if (t.key === "ArrowLeft" || t.key === "ArrowUp") { + t.preventDefault(), Y("continue"); + return; + } + if (t.key === "ArrowRight" || t.key === "ArrowDown") { + t.preventDefault(), Y("done"); + return; + } + he(t.key) && (t.preventDefault(), I === "continue" ? X() : D()); + return; + } + if (f !== "idle") return; + const c = s[t.key]; + c && (t.preventDefault(), M(c)); + }; + return window.addEventListener("keydown", n), () => { + window.removeEventListener("keydown", n); + }; + }, [ + M, + ee, + D, + R, + b, + f, + Q, + X, + I + ]), oe( + () => () => { + S.current += 1; + }, + [] + ); + const Pe = ne(() => { + const n = $.x - N.x, t = N.y - $.y, s = Math.abs(n), c = Math.abs(t), T = ft(N, $); + if (s === 0 && c === 0) + return { + angle: 0, + motifLength: T, + motif: "On target" + }; + if (s === 0 || c === 0) + return { + angle: s === 0 ? 90 : 0, + motifLength: T, + motif: s === 0 ? `${t >= 0 ? "U" : "D"} x ${c}` : `${n >= 0 ? "R" : "L"} x ${s}` + }; + const P = ce(s, c), H = s / P, K = c / P, A = `${n >= 0 ? "R" : "L"} x ${H}`, E = `${t >= 0 ? "U" : "D"} x ${K}`; + return { + angle: Math.atan2(c, s) * (180 / Math.PI), + motifLength: T, + motif: `${A}, ${E}` + }; + }, [N, $]), ve = Math.round(Z(w / u * 100, 0, 100)), $e = _ ? `${e.wrapper} ${_}` : e.wrapper, ue = C * G, ke = B.map(bt).join(" "), te = B[B.length - 1]; + return /* @__PURE__ */ a("div", { className: $e, style: be, children: /* @__PURE__ */ l( + "section", + { + className: `${e.frame} ${b ? e.frameSucceeded : ""}`, + "aria-label": "Chess move set trainer", + children: [ + /* @__PURE__ */ l("header", { className: e.header, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "The Chess Analogy" }), + /* @__PURE__ */ l("p", { className: e.statsLine, children: [ + "Captures ", + w, + "/", + u, + " • Progress ", + ve, + "% • Program ", + y.length, + " • Target ", + J + ] }) + ] }), + /* @__PURE__ */ a("div", { className: e.boardPanel, children: /* @__PURE__ */ l("div", { className: e.board, role: "grid", "aria-label": "8 by 8 checkerboard", children: [ + /* @__PURE__ */ l( + "svg", + { + className: e.trailOverlay, + viewBox: `0 0 ${ue} ${ue}`, + preserveAspectRatio: "none", + "aria-hidden": "true", + children: [ + B.length > 1 && /* @__PURE__ */ a("polyline", { className: e.trailPath, points: ke }), + te && /* @__PURE__ */ a( + "circle", + { + className: e.trailHead, + cx: (te.x + 0.5) * G, + cy: (te.y + 0.5) * G, + r: 6 + } + ) + ] + } + ), + Array.from({ length: C * C }).map((n, t) => { + const s = t % C, c = Math.floor(t / C), T = (s + c) % 2 === 1, P = N.x === s && N.y === c, H = $.x === s && $.y === c; + return /* @__PURE__ */ l( + "div", + { + className: `${e.cell} ${T ? e.darkCell : e.lightCell}`, + role: "gridcell", + "aria-label": `x ${s + 1}, y ${C - c}`, + children: [ + H && /* @__PURE__ */ a("span", { className: e.target, "aria-hidden": "true", children: "●" }), + P && /* @__PURE__ */ a("span", { className: e.knight, "aria-hidden": "true", children: "♞" }) + ] + }, + `${s}-${c}` + ); + }) + ] }) }), + /* @__PURE__ */ l("div", { className: e.readout, children: [ + /* @__PURE__ */ l("p", { className: e.readoutLine, children: [ + "Angle: ", + /* @__PURE__ */ l("strong", { children: [ + Pe.angle.toFixed(1), + "°" + ] }) + ] }), + !1 + ] }), + /* @__PURE__ */ l("div", { className: e.programPanel, children: [ + /* @__PURE__ */ l("div", { className: e.programTrack, "aria-live": "polite", children: [ + y.length === 0 && /* @__PURE__ */ a("span", { className: e.placeholder, children: "Empty move set" }), + y.map((n, t) => /* @__PURE__ */ a( + "span", + { + className: `${e.step} ${i && t === fe ? e.stepExecuted : ""}`, + children: _t[n] + }, + `${n}-${t}` + )) + ] }), + /* @__PURE__ */ l("div", { className: e.programButtons, children: [ + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("up"), disabled: i || m, children: "↑" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("left"), disabled: i || m, children: "←" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("down"), disabled: i || m, children: "↓" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => M("right"), disabled: i || m, children: "→" }) + ] }), + /* @__PURE__ */ l("div", { className: e.controlRow, children: [ + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: xe, disabled: i || m || y.length === 0, children: "Undo" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: Ce, disabled: i || m || y.length === 0, children: "Clear" }), + /* @__PURE__ */ a("button", { type: "button", className: e.buttonPrimary, onClick: i ? Ne : Se, disabled: m || y.length === 0, children: i ? "Stop" : "Run" }), + /* @__PURE__ */ a("button", { type: "button", className: e.button, onClick: () => X(), disabled: i, children: "Reset" }) + ] }), + pe && /* @__PURE__ */ a("p", { className: e.legend, children: pe }) + ] }), + f === "gameOverPrompt" && /* @__PURE__ */ l("div", { className: e.promptOverlay, role: "dialog", "aria-modal": "true", "aria-label": "Game over prompt", children: [ + /* @__PURE__ */ a("p", { className: e.promptTitle, children: "Game over" }), + /* @__PURE__ */ a("p", { className: e.promptText, children: b ? "Try again or stop?" : "Try again?" }), + /* @__PURE__ */ l("div", { className: e.promptOptions, children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${R === "yes" ? e.promptSelected : ""}`, + onClick: Q, + children: [ + R === "yes" ? "▶ " : "", + "Yes" + ] + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${R === "no" ? e.promptSelected : ""}`, + onClick: b ? D : ee, + children: [ + R === "no" ? "▶ " : "", + b ? "I'm done" : "No" + ] + } + ) + ] }), + /* @__PURE__ */ a("p", { className: e.promptHint, children: "Use arrows + Enter." }) + ] }), + f === "successPrompt" && /* @__PURE__ */ l("div", { className: e.promptOverlay, role: "dialog", "aria-modal": "true", "aria-label": "Success prompt", children: [ + /* @__PURE__ */ a("p", { className: e.promptTitle, children: "Success" }), + /* @__PURE__ */ a("p", { className: e.promptText, children: "Continue?" }), + /* @__PURE__ */ l("div", { className: e.promptOptions, children: [ + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${I === "continue" ? e.promptSelected : ""}`, + onClick: () => X(), + children: [ + I === "continue" ? "▶ " : "", + "Yes" + ] + } + ), + /* @__PURE__ */ l( + "button", + { + type: "button", + className: `${e.promptOption} ${I === "done" ? e.promptSelected : ""}`, + onClick: D, + children: [ + I === "done" ? "▶ " : "", + "I'm done" + ] + } + ) + ] }), + /* @__PURE__ */ a("p", { className: e.promptHint, children: "Use arrows + Enter." }) + ] }) + ] + } + ) }); +} +const St = { + name: "chess_analogy", + displayName: "Chess Move Set Lab", + version: "1.0.0", + paramSchema: { + goalCaptures: { + type: "range", + label: "Targets To Capture", + description: "How many red targets must be captured before completion.", + default: 3, + min: 1, + max: 10, + step: 1 + } + }, + defaultParams: { + goalCaptures: 3 + } +}; +export { + Nt as default, + St as metadata +}; +//# sourceMappingURL=chess_analogy.js.map diff --git a/public/glitch/glitch_chess_analogy/chess_analogy.js.map b/public/glitch/glitch_chess_analogy/chess_analogy.js.map new file mode 100644 index 0000000..b50a25d --- /dev/null +++ b/public/glitch/glitch_chess_analogy/chess_analogy.js.map @@ -0,0 +1 @@ +{"version":3,"file":"chess_analogy.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useEffect, useMemo, useRef, useState } from 'react'\nimport type { CSSProperties } from 'react'\nimport type { GlitchComponentProps } from './types'\nimport styles from './styles.module.css'\n\nconst BOARD_SIZE = 8\nconst START_POS = { x: 0, y: BOARD_SIZE - 1 }\nconst MOVE_DELAY_MS = 220\nconst MAX_PROGRAM_LENGTH = 64\nconst DEFAULT_GOAL_CAPTURES = 3\nconst SVG_CELL_SIZE = 100\nconst MIN_TARGET_DISTANCE = 5\n\ntype Direction = 'up' | 'down' | 'left' | 'right'\ntype GameMode = 'idle' | 'running' | 'gameOverPrompt' | 'successPrompt' | 'finished'\ntype GameOverChoice = 'yes' | 'no'\ntype SuccessChoice = 'continue' | 'done'\n\ninterface Position {\n x: number\n y: number\n}\n\ninterface StepVector {\n dx: number\n dy: number\n}\n\ninterface ChallengePattern {\n dx: number\n dy: number\n}\n\nconst VECTOR_BY_DIRECTION: Record = {\n up: { dx: 0, dy: -1 },\n down: { dx: 0, dy: 1 },\n left: { dx: -1, dy: 0 },\n right: { dx: 1, dy: 0 }\n}\n\nconst ARROW_BY_DIRECTION: Record = {\n up: '↑',\n down: '↓',\n left: '←',\n right: '→'\n}\n\nconst CHALLENGE_PATTERNS: ChallengePattern[] = [\n { dx: 0, dy: 1 },\n { dx: 1, dy: 1 },\n { dx: 1, dy: 2 },\n { dx: 1, dy: 3 },\n { dx: 2, dy: 3 },\n { dx: 1, dy: 5 },\n { dx: 1, dy: 6 }\n]\n\nconst clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value))\n\nconst isInsideBoard = (position: Position) =>\n position.x >= 0 && position.x < BOARD_SIZE && position.y >= 0 && position.y < BOARD_SIZE\n\nconst samePosition = (a: Position, b: Position) => a.x === b.x && a.y === b.y\n\nconst gcd = (a: number, b: number): number => {\n if (b === 0) return a\n return gcd(b, a % b)\n}\n\nconst getMoveSetLength = (from: Position, to: Position) => {\n const dx = Math.abs(to.x - from.x)\n const dy = Math.abs(to.y - from.y)\n\n if (dx === 0 && dy === 0) return 0\n if (dx === 0 || dy === 0) return dx + dy\n\n const divisor = gcd(dx, dy)\n return dx / divisor + dy / divisor\n}\n\nconst wait = (ms: number) =>\n new Promise((resolve) => {\n window.setTimeout(resolve, ms)\n })\n\nconst isConfirmKey = (key: string) =>\n key === 'Enter' || key === 'NumpadEnter' || key === ' ' || key === 'Space' || key === 'Spacebar'\n\nconst toSvgPoint = (position: Position) =>\n `${(position.x + 0.5) * SVG_CELL_SIZE},${(position.y + 0.5) * SVG_CELL_SIZE}`\n\nconst getChallengeIndex = (index: number) => clamp(index, 0, CHALLENGE_PATTERNS.length - 1)\n\nconst getPatternForChallenge = (challengeIndex: number) => CHALLENGE_PATTERNS[getChallengeIndex(challengeIndex)]\n\nconst getComplexityForChallenge = (challengeIndex: number) => {\n const pattern = getPatternForChallenge(challengeIndex)\n return pattern.dx + pattern.dy\n}\n\nconst getRandomTargetForChallenge = (challengeIndex: number): Position => {\n const pattern = getPatternForChallenge(challengeIndex)\n const candidates: Position[] = []\n\n for (let multiplier = 1; multiplier < BOARD_SIZE; multiplier += 1) {\n const candidate = {\n x: START_POS.x + pattern.dx * multiplier,\n y: START_POS.y - pattern.dy * multiplier\n }\n\n if (!isInsideBoard(candidate)) break\n\n const distance = Math.abs(candidate.x - START_POS.x) + Math.abs(candidate.y - START_POS.y)\n if (distance > MIN_TARGET_DISTANCE) {\n candidates.push(candidate)\n }\n }\n\n if (candidates.length === 0) {\n return {\n x: START_POS.x + pattern.dx,\n y: START_POS.y - pattern.dy\n }\n }\n\n const randomIndex = Math.floor(Math.random() * candidates.length)\n return candidates[randomIndex]\n}\n\nexport default function Component({\n config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const goalCaptures = useMemo(() => {\n const configured = config.params.goalCaptures\n if (typeof configured !== 'number') return DEFAULT_GOAL_CAPTURES\n return clamp(Math.round(configured), 1, 10)\n }, [config.params.goalCaptures])\n\n const [challengeIndex, setChallengeIndex] = useState(0)\n const [piece, setPiece] = useState(START_POS)\n const [target, setTarget] = useState(() => getRandomTargetForChallenge(0))\n const [program, setProgram] = useState([])\n const [trailPoints, setTrailPoints] = useState([START_POS])\n const [mode, setMode] = useState('idle')\n const [stepIndex, setStepIndex] = useState(-1)\n const [captures, setCaptures] = useState(0)\n const [lastRunSummary, setLastRunSummary] = useState('')\n const [gameOverChoice, setGameOverChoice] = useState('yes')\n const [successChoice, setSuccessChoice] = useState('continue')\n const [hasEverSucceeded, setHasEverSucceeded] = useState(false)\n\n const runIdRef = useRef(0)\n const completedRef = useRef(false)\n\n const running = mode === 'running'\n const lockedForPrompt = mode === 'gameOverPrompt' || mode === 'successPrompt' || mode === 'finished'\n const currentComplexityGoal = getComplexityForChallenge(challengeIndex)\n\n const themeStyle = useMemo(() => {\n if (!theme) return {}\n\n return {\n '--gc-primary': theme.primary,\n '--gc-accent': theme.accent,\n '--gc-bg': theme.bg,\n '--gc-bg-secondary': theme.bgSecondary,\n '--gc-text': theme.text,\n '--gc-text-muted': theme.textMuted,\n '--gc-border': theme.border\n } as CSSProperties\n }, [theme])\n\n useEffect(() => {\n const ratio = captures / goalCaptures\n onProgress?.(Math.round(clamp(ratio * 100, 0, 100)))\n }, [captures, goalCaptures, onProgress])\n\n const resetBoard = useCallback((nextChallengeIndex: number, nextCaptures: number, summary = '') => {\n runIdRef.current += 1\n setMode('idle')\n setChallengeIndex(getChallengeIndex(nextChallengeIndex))\n setPiece(START_POS)\n setTarget(getRandomTargetForChallenge(nextChallengeIndex))\n setTrailPoints([START_POS])\n setStepIndex(-1)\n setCaptures(nextCaptures)\n setGameOverChoice('yes')\n setSuccessChoice('continue')\n setLastRunSummary(summary)\n }, [])\n\n const retryChallenge = useCallback(() => {\n resetBoard(challengeIndex, 0, `Looking for a ${currentComplexityGoal}-step move set.`)\n }, [challengeIndex, currentComplexityGoal, resetBoard])\n\n const advanceChallenge = useCallback((nextCaptures = 0) => {\n const nextChallengeIndex = getChallengeIndex(challengeIndex + 1)\n const nextComplexityGoal = getComplexityForChallenge(nextChallengeIndex)\n\n resetBoard(nextChallengeIndex, nextCaptures, `Looking for a ${nextComplexityGoal}-step move set.`)\n }, [challengeIndex, resetBoard])\n\n const finishFailure = useCallback(() => {\n if (completedRef.current) return\n completedRef.current = true\n runIdRef.current += 1\n setMode('finished')\n onComplete({\n success: false,\n error: 'Player chose no after game over.',\n data: {\n captures,\n goalCaptures,\n configId: config.id,\n completedAt: new Date().toISOString(),\n hasEverSucceeded\n }\n })\n }, [captures, config.id, goalCaptures, hasEverSucceeded, onComplete])\n\n const finishSuccess = useCallback(() => {\n if (completedRef.current) return\n completedRef.current = true\n runIdRef.current += 1\n setMode('finished')\n onComplete({\n success: true,\n score: 100,\n data: {\n captures,\n goalCaptures,\n configId: config.id,\n completedAt: new Date().toISOString(),\n hasEverSucceeded\n }\n })\n }, [captures, config.id, goalCaptures, hasEverSucceeded, onComplete])\n\n const addInstruction = useCallback((direction: Direction) => {\n setProgram((previous) => {\n if (running || lockedForPrompt || previous.length >= MAX_PROGRAM_LENGTH) return previous\n return [...previous, direction]\n })\n }, [lockedForPrompt, running])\n\n const undoInstruction = useCallback(() => {\n if (running || lockedForPrompt) return\n setProgram((previous) => previous.slice(0, -1))\n }, [lockedForPrompt, running])\n\n const clearProgram = useCallback(() => {\n if (running || lockedForPrompt) return\n setProgram([])\n }, [lockedForPrompt, running])\n\n const stopProgram = useCallback(() => {\n runIdRef.current += 1\n setMode('idle')\n setStepIndex(-1)\n setLastRunSummary('Program stopped.')\n }, [])\n\n const runProgram = useCallback(async () => {\n if (running || lockedForPrompt || program.length === 0) return\n\n const runId = runIdRef.current + 1\n runIdRef.current = runId\n\n let currentPiece = piece\n let currentTarget = target\n let currentCaptures = captures\n let executedSteps = 0\n\n setMode('running')\n setStepIndex(-1)\n setTrailPoints([piece])\n setLastRunSummary('')\n\n while (runIdRef.current === runId) {\n for (let index = 0; index < program.length; index += 1) {\n await wait(MOVE_DELAY_MS)\n if (runIdRef.current !== runId) return\n\n const direction = program[index]\n const vector = VECTOR_BY_DIRECTION[direction]\n const candidate = {\n x: currentPiece.x + vector.dx,\n y: currentPiece.y + vector.dy\n }\n\n if (!isInsideBoard(candidate)) {\n setMode('gameOverPrompt')\n setGameOverChoice('yes')\n setStepIndex(-1)\n setLastRunSummary(`Game over after ${executedSteps} step(s). Try again?`)\n return\n }\n\n executedSteps += 1\n currentPiece = candidate\n setPiece(candidate)\n setTrailPoints((previous) => [...previous, candidate])\n setStepIndex(index)\n\n if (samePosition(candidate, currentTarget)) {\n currentCaptures += 1\n setCaptures(currentCaptures)\n setHasEverSucceeded(true)\n\n if (currentCaptures >= goalCaptures) {\n setMode('successPrompt')\n setSuccessChoice('continue')\n setStepIndex(-1)\n setLastRunSummary(`Success. ${currentCaptures} challenge(s) complete.`)\n return\n }\n\n const nextChallengeIndex = getChallengeIndex(challengeIndex + 1)\n const nextTarget = getRandomTargetForChallenge(nextChallengeIndex)\n const nextComplexityGoal = getComplexityForChallenge(nextChallengeIndex)\n\n currentPiece = START_POS\n currentTarget = nextTarget\n\n setMode('idle')\n setChallengeIndex(nextChallengeIndex)\n setPiece(START_POS)\n setTarget(nextTarget)\n setTrailPoints([START_POS])\n setStepIndex(-1)\n setLastRunSummary(\n `Challenge ${currentCaptures}/${goalCaptures} complete. 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'U' : 'D'} x ${absY}`\n : `${dx >= 0 ? 'R' : 'L'} x ${absX}`\n }\n }\n\n const divisor = gcd(absX, absY)\n const shortX = absX / divisor\n const shortY = absY / divisor\n const horizontal = `${dx >= 0 ? 'R' : 'L'} x ${shortX}`\n const vertical = `${dy >= 0 ? 'U' : 'D'} x ${shortY}`\n const angle = Math.atan2(absY, absX) * (180 / Math.PI)\n\n return {\n angle,\n motifLength,\n motif: `${horizontal}, ${vertical}`\n }\n }, [piece, target])\n\n const progressPercent = Math.round(clamp((captures / goalCaptures) * 100, 0, 100))\n const rootClassName = className ? `${styles.wrapper} ${className}` : styles.wrapper\n const boardView = BOARD_SIZE * SVG_CELL_SIZE\n const pathValue = trailPoints.map(toSvgPoint).join(' ')\n const trailHead = trailPoints[trailPoints.length - 1]\n\n return (\n
    \n \n
    \n

    The Chess Analogy

    \n

    \n Captures {captures}/{goalCaptures} • Progress {progressPercent}% • Program {program.length} • Target {currentComplexityGoal}\n

    \n
    \n\n
    \n
    \n
    \n )\n })}\n
    \n
    \n\n
    \n

    \n Angle: {aimMath.angle.toFixed(1)}°\n

    \n {false && (\n

    \n Primitive motif: {aimMath.motif} ({aimMath.motifLength})\n

    \n )}\n
    \n\n
    \n
    \n {program.length === 0 && Empty move set}\n {program.map((instruction, index) => (\n \n {ARROW_BY_DIRECTION[instruction]}\n \n ))}\n
    \n\n
    \n \n \n \n \n
    \n\n
    \n \n \n \n \n
    \n \n \n {lastRunSummary &&

    {lastRunSummary}

    }\n
    \n\n {mode === 'gameOverPrompt' && (\n
    \n

    Game over

    \n

    {hasEverSucceeded ? 'Try again or stop?' : 'Try again?'}

    \n
    \n \n {gameOverChoice === 'yes' ? '▶ ' : ''}Yes\n \n \n {gameOverChoice === 'no' ? '▶ ' : ''}{hasEverSucceeded ? \"I'm done\" : 'No'}\n \n
    \n

    Use arrows + Enter.

    \n
    \n )}\n\n {mode === 'successPrompt' && (\n
    \n

    Success

    \n

    Continue?

    \n
    \n advanceChallenge()}\n >\n {successChoice === 'continue' ? '▶ ' : ''}Yes\n \n \n {successChoice === 'done' ? '▶ ' : ''}I'm done\n \n
    \n

    Use arrows + Enter.

    \n
    \n )}\n \n
\n )\n}\n","import Component from './Component'\nimport type { GlitchComponentMetadata } from './types'\n\nexport default Component\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'chess_analogy',\n displayName: 'Chess Move Set Lab',\n version: '1.0.0',\n paramSchema: {\n goalCaptures: {\n type: 'range',\n label: 'Targets To Capture',\n description: 'How many red targets must be captured before completion.',\n default: 3,\n min: 1,\n max: 10,\n step: 1\n }\n },\n defaultParams: {\n goalCaptures: 3\n }\n}\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult,\n GlitchTheme,\n GlitchHostBridge,\n GlitchComponentMetadata\n} from 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n=e._x,s=e._y,u=e._z,f=e._w,h=this.dot(e);h<0&&(n=-n,s=-s,u=-u,f=-f,h=-h);let m=1-t;if(h<.9995){const g=Math.acos(h),_=Math.sin(g);m=Math.sin(m*g)/_,t=Math.sin(t*g)/_,this._x=this._x*m+n*t,this._y=this._y*m+s*t,this._z=this._z*m+u*t,this._w=this._w*m+f*t,this._onChangeCallback()}else this._x=this._x*m+n*t,this._y=this._y*m+s*t,this._z=this._z*m+u*t,this._w=this._w*m+f*t,this.normalize();return this}slerpQuaternions(e,t,n){return this.copy(e).slerp(t,n)}random(){const e=2*Math.PI*Math.random(),t=2*Math.PI*Math.random(),n=Math.random(),s=Math.sqrt(1-n),u=Math.sqrt(n);return this.set(s*Math.sin(e),s*Math.cos(e),u*Math.sin(t),u*Math.cos(t))}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._w===this._w}fromArray(e,t=0){return this._x=e[t],this._y=e[t+1],this._z=e[t+2],this._w=e[t+3],this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._w,e}fromBufferAttribute(e,t){return this._x=e.getX(t),this._y=e.getY(t),this._z=e.getZ(t),this._w=e.getW(t),this._onChangeCallback(),this}toJSON(){return this.toArray()}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._w}}class j{constructor(e=0,t=0,n=0){j.prototype.isVector3=!0,this.x=e,this.y=t,this.z=n}set(e,t,n){return n===void 0&&(n=this.z),this.x=e,this.y=t,this.z=n,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this}multiplyVectors(e,t){return this.x=e.x*t.x,this.y=e.y*t.y,this.z=e.z*t.z,this}applyEuler(e){return this.applyQuaternion(rM.setFromEuler(e))}applyAxisAngle(e,t){return this.applyQuaternion(rM.setFromAxisAngle(e,t))}applyMatrix3(e){const t=this.x,n=this.y,s=this.z,u=e.elements;return this.x=u[0]*t+u[3]*n+u[6]*s,this.y=u[1]*t+u[4]*n+u[7]*s,this.z=u[2]*t+u[5]*n+u[8]*s,this}applyNormalMatrix(e){return this.applyMatrix3(e).normalize()}applyMatrix4(e){const t=this.x,n=this.y,s=this.z,u=e.elements,f=1/(u[3]*t+u[7]*n+u[11]*s+u[15]);return this.x=(u[0]*t+u[4]*n+u[8]*s+u[12])*f,this.y=(u[1]*t+u[5]*n+u[9]*s+u[13])*f,this.z=(u[2]*t+u[6]*n+u[10]*s+u[14])*f,this}applyQuaternion(e){const t=this.x,n=this.y,s=this.z,u=e.x,f=e.y,h=e.z,m=e.w,g=2*(f*s-h*n),_=2*(h*t-u*s),x=2*(u*n-f*t);return this.x=t+m*g+f*x-h*_,this.y=n+m*_+h*g-u*x,this.z=s+m*x+u*_-f*g,this}project(e){return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix)}unproject(e){return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld)}transformDirection(e){const t=this.x,n=this.y,s=this.z,u=e.elements;return this.x=u[0]*t+u[4]*n+u[8]*s,this.y=u[1]*t+u[5]*n+u[9]*s,this.z=u[2]*t+u[6]*n+u[10]*s,this.normalize()}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this}divideScalar(e){return this.multiplyScalar(1/e)}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this}clamp(e,t){return this.x=Ht(this.x,e.x,t.x),this.y=Ht(this.y,e.y,t.y),this.z=Ht(this.z,e.z,t.z),this}clampScalar(e,t){return this.x=Ht(this.x,e,t),this.y=Ht(this.y,e,t),this.z=Ht(this.z,e,t),this}clampLength(e,t){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Ht(n,e,t))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this}cross(e){return this.crossVectors(this,e)}crossVectors(e,t){const n=e.x,s=e.y,u=e.z,f=t.x,h=t.y,m=t.z;return this.x=s*m-u*h,this.y=u*f-n*m,this.z=n*h-s*f,this}projectOnVector(e){const t=e.lengthSq();if(t===0)return this.set(0,0,0);const n=e.dot(this)/t;return this.copy(e).multiplyScalar(n)}projectOnPlane(e){return k_.copy(this).projectOnVector(e),this.sub(k_)}reflect(e){return this.sub(k_.copy(e).multiplyScalar(2*this.dot(e)))}angleTo(e){const t=Math.sqrt(this.lengthSq()*e.lengthSq());if(t===0)return Math.PI/2;const n=this.dot(e)/t;return Math.acos(Ht(n,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){const t=this.x-e.x,n=this.y-e.y,s=this.z-e.z;return t*t+n*n+s*s}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)+Math.abs(this.z-e.z)}setFromSpherical(e){return this.setFromSphericalCoords(e.radius,e.phi,e.theta)}setFromSphericalCoords(e,t,n){const s=Math.sin(t)*e;return this.x=s*Math.sin(n),this.y=Math.cos(t)*e,this.z=s*Math.cos(n),this}setFromCylindrical(e){return this.setFromCylindricalCoords(e.radius,e.theta,e.y)}setFromCylindricalCoords(e,t,n){return this.x=e*Math.sin(t),this.y=n,this.z=e*Math.cos(t),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this}setFromMatrixScale(e){const t=this.setFromMatrixColumn(e,0).length(),n=this.setFromMatrixColumn(e,1).length(),s=this.setFromMatrixColumn(e,2).length();return this.x=t,this.y=n,this.z=s,this}setFromMatrixColumn(e,t){return this.fromArray(e.elements,t*4)}setFromMatrix3Column(e,t){return this.fromArray(e.elements,t*3)}setFromEuler(e){return this.x=e._x,this.y=e._y,this.z=e._z,this}setFromColor(e){return this.x=e.r,this.y=e.g,this.z=e.b,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){const e=Math.random()*Math.PI*2,t=Math.random()*2-1,n=Math.sqrt(1-t*t);return this.x=n*Math.cos(e),this.y=t,this.z=n*Math.sin(e),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}}const k_=new j,rM=new Pa;class en{constructor(e,t,n,s,u,f,h,m,g){en.prototype.isMatrix3=!0,this.elements=[1,0,0,0,1,0,0,0,1],e!==void 0&&this.set(e,t,n,s,u,f,h,m,g)}set(e,t,n,s,u,f,h,m,g){const _=this.elements;return _[0]=e,_[1]=s,_[2]=h,_[3]=t,_[4]=u,_[5]=m,_[6]=n,_[7]=f,_[8]=g,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(e){const t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],this}extractBasis(e,t,n){return e.setFromMatrix3Column(this,0),t.setFromMatrix3Column(this,1),n.setFromMatrix3Column(this,2),this}setFromMatrix4(e){const t=e.elements;return this.set(t[0],t[4],t[8],t[1],t[5],t[9],t[2],t[6],t[10]),this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const n=e.elements,s=t.elements,u=this.elements,f=n[0],h=n[3],m=n[6],g=n[1],_=n[4],x=n[7],b=n[2],M=n[5],A=n[8],R=s[0],w=s[3],E=s[6],N=s[1],D=s[4],U=s[7],B=s[2],z=s[5],H=s[8];return u[0]=f*R+h*N+m*B,u[3]=f*w+h*D+m*z,u[6]=f*E+h*U+m*H,u[1]=g*R+_*N+x*B,u[4]=g*w+_*D+x*z,u[7]=g*E+_*U+x*H,u[2]=b*R+M*N+A*B,u[5]=b*w+M*D+A*z,u[8]=b*E+M*U+A*H,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[3]*=e,t[6]*=e,t[1]*=e,t[4]*=e,t[7]*=e,t[2]*=e,t[5]*=e,t[8]*=e,this}determinant(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8];return t*f*_-t*h*g-n*u*_+n*h*m+s*u*g-s*f*m}invert(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8],x=_*f-h*g,b=h*m-_*u,M=g*u-f*m,A=t*x+n*b+s*M;if(A===0)return this.set(0,0,0,0,0,0,0,0,0);const R=1/A;return e[0]=x*R,e[1]=(s*g-_*n)*R,e[2]=(h*n-s*f)*R,e[3]=b*R,e[4]=(_*t-s*m)*R,e[5]=(s*u-h*t)*R,e[6]=M*R,e[7]=(n*m-g*t)*R,e[8]=(f*t-n*u)*R,this}transpose(){let e;const t=this.elements;return e=t[1],t[1]=t[3],t[3]=e,e=t[2],t[2]=t[6],t[6]=e,e=t[5],t[5]=t[7],t[7]=e,this}getNormalMatrix(e){return this.setFromMatrix4(e).invert().transpose()}transposeIntoArray(e){const t=this.elements;return e[0]=t[0],e[1]=t[3],e[2]=t[6],e[3]=t[1],e[4]=t[4],e[5]=t[7],e[6]=t[2],e[7]=t[5],e[8]=t[8],this}setUvTransform(e,t,n,s,u,f,h){const m=Math.cos(u),g=Math.sin(u);return this.set(n*m,n*g,-n*(m*f+g*h)+f+e,-s*g,s*m,-s*(-g*f+m*h)+h+t,0,0,1),this}scale(e,t){return this.premultiply(V_.makeScale(e,t)),this}rotate(e){return this.premultiply(V_.makeRotation(-e)),this}translate(e,t){return this.premultiply(V_.makeTranslation(e,t)),this}makeTranslation(e,t){return e.isVector2?this.set(1,0,e.x,0,1,e.y,0,0,1):this.set(1,0,e,0,1,t,0,0,1),this}makeRotation(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,n,t,0,0,0,1),this}makeScale(e,t){return this.set(e,0,0,0,t,0,0,0,1),this}equals(e){const t=this.elements,n=e.elements;for(let s=0;s<9;s++)if(t[s]!==n[s])return!1;return!0}fromArray(e,t=0){for(let n=0;n<9;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){const n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e}clone(){return new this.constructor().fromArray(this.elements)}}const V_=new en,oM=new en().set(.4123908,.3575843,.1804808,.212639,.7151687,.0721923,.0193308,.1191948,.9505322),lM=new en().set(3.2409699,-1.5373832,-.4986108,-.9692436,1.8759675,.0415551,.0556301,-.203977,1.0569715);function cR(){const r={enabled:!0,workingColorSpace:zu,spaces:{},convert:function(s,u,f){return this.enabled===!1||u===f||!u||!f||(this.spaces[u].transfer===zn&&(s.r=Nl(s.r),s.g=Nl(s.g),s.b=Nl(s.b)),this.spaces[u].primaries!==this.spaces[f].primaries&&(s.applyMatrix3(this.spaces[u].toXYZ),s.applyMatrix3(this.spaces[f].fromXYZ)),this.spaces[f].transfer===zn&&(s.r=Wh(s.r),s.g=Wh(s.g),s.b=Wh(s.b))),s},workingToColorSpace:function(s,u){return this.convert(s,this.workingColorSpace,u)},colorSpaceToWorking:function(s,u){return this.convert(s,u,this.workingColorSpace)},getPrimaries:function(s){return this.spaces[s].primaries},getTransfer:function(s){return s===Cl?dm:this.spaces[s].transfer},getToneMappingMode:function(s){return this.spaces[s].outputColorSpaceConfig.toneMappingMode||"standard"},getLuminanceCoefficients:function(s,u=this.workingColorSpace){return s.fromArray(this.spaces[u].luminanceCoefficients)},define:function(s){Object.assign(this.spaces,s)},_getMatrix:function(s,u,f){return s.copy(this.spaces[u].toXYZ).multiply(this.spaces[f].fromXYZ)},_getDrawingBufferColorSpace:function(s){return this.spaces[s].outputColorSpaceConfig.drawingBufferColorSpace},_getUnpackColorSpace:function(s=this.workingColorSpace){return this.spaces[s].workingColorSpaceConfig.unpackColorSpace},fromWorkingColorSpace:function(s,u){return Zh("ColorManagement: .fromWorkingColorSpace() has been renamed to .workingToColorSpace()."),r.workingToColorSpace(s,u)},toWorkingColorSpace:function(s,u){return Zh("ColorManagement: .toWorkingColorSpace() has been renamed to .colorSpaceToWorking()."),r.colorSpaceToWorking(s,u)}},e=[.64,.33,.3,.6,.15,.06],t=[.2126,.7152,.0722],n=[.3127,.329];return r.define({[zu]:{primaries:e,whitePoint:n,transfer:dm,toXYZ:oM,fromXYZ:lM,luminanceCoefficients:t,workingColorSpaceConfig:{unpackColorSpace:Ia},outputColorSpaceConfig:{drawingBufferColorSpace:Ia}},[Ia]:{primaries:e,whitePoint:n,transfer:zn,toXYZ:oM,fromXYZ:lM,luminanceCoefficients:t,outputColorSpaceConfig:{drawingBufferColorSpace:Ia}}}),r}const Sn=cR();function Nl(r){return r<.04045?r*.0773993808:Math.pow(r*.9478672986+.0521327014,2.4)}function Wh(r){return r<.0031308?r*12.92:1.055*Math.pow(r,.41666)-.055}let vh;class VE{static getDataURL(e,t="image/png"){if(/^data:/i.test(e.src)||typeof HTMLCanvasElement>"u")return e.src;let n;if(e instanceof HTMLCanvasElement)n=e;else{vh===void 0&&(vh=mm("canvas")),vh.width=e.width,vh.height=e.height;const s=vh.getContext("2d");e instanceof ImageData?s.putImageData(e,0,0):s.drawImage(e,0,0,e.width,e.height),n=vh}return n.toDataURL(t)}static sRGBToLinear(e){if(typeof HTMLImageElement<"u"&&e instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&e instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&e instanceof ImageBitmap){const t=mm("canvas");t.width=e.width,t.height=e.height;const n=t.getContext("2d");n.drawImage(e,0,0,e.width,e.height);const s=n.getImageData(0,0,e.width,e.height),u=s.data;for(let f=0;f1),this.pmremVersion=0}get width(){return this.source.getSize(G_).x}get height(){return this.source.getSize(G_).y}get depth(){return this.source.getSize(G_).z}get image(){return this.source.data}set image(e=null){this.source.data=e}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}clone(){return new this.constructor().copy(this)}copy(e){return this.name=e.name,this.source=e.source,this.mipmaps=e.mipmaps.slice(0),this.mapping=e.mapping,this.channel=e.channel,this.wrapS=e.wrapS,this.wrapT=e.wrapT,this.magFilter=e.magFilter,this.minFilter=e.minFilter,this.anisotropy=e.anisotropy,this.format=e.format,this.internalFormat=e.internalFormat,this.type=e.type,this.offset.copy(e.offset),this.repeat.copy(e.repeat),this.center.copy(e.center),this.rotation=e.rotation,this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrix.copy(e.matrix),this.generateMipmaps=e.generateMipmaps,this.premultiplyAlpha=e.premultiplyAlpha,this.flipY=e.flipY,this.unpackAlignment=e.unpackAlignment,this.colorSpace=e.colorSpace,this.renderTarget=e.renderTarget,this.isRenderTargetTexture=e.isRenderTargetTexture,this.isArrayTexture=e.isArrayTexture,this.userData=JSON.parse(JSON.stringify(e.userData)),this.needsUpdate=!0,this}setValues(e){for(const t in e){const n=e[t];if(n===void 0){ft(`Texture.setValues(): parameter '${t}' has value of undefined.`);continue}const s=this[t];if(s===void 0){ft(`Texture.setValues(): property '${t}' does not exist.`);continue}s&&n&&s.isVector2&&n.isVector2||s&&n&&s.isVector3&&n.isVector3||s&&n&&s.isMatrix3&&n.isMatrix3?s.copy(n):this[t]=n}}toJSON(e){const t=e===void 0||typeof e=="string";if(!t&&e.textures[this.uuid]!==void 0)return e.textures[this.uuid];const n={metadata:{version:4.7,type:"Texture",generator:"Texture.toJSON"},uuid:this.uuid,name:this.name,image:this.source.toJSON(e).uuid,mapping:this.mapping,channel:this.channel,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,internalFormat:this.internalFormat,type:this.type,colorSpace:this.colorSpace,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,generateMipmaps:this.generateMipmaps,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};return Object.keys(this.userData).length>0&&(n.userData=this.userData),t||(e.textures[this.uuid]=n),n}dispose(){this.dispatchEvent({type:"dispose"})}transformUv(e){if(this.mapping!==vy)return e;if(e.applyMatrix3(this.matrix),e.x<0||e.x>1)switch(this.wrapS){case um:e.x=e.x-Math.floor(e.x);break;case Rs:e.x=e.x<0?0:1;break;case cm:Math.abs(Math.floor(e.x)%2)===1?e.x=Math.ceil(e.x)-e.x:e.x=e.x-Math.floor(e.x);break}if(e.y<0||e.y>1)switch(this.wrapT){case um:e.y=e.y-Math.floor(e.y);break;case Rs:e.y=e.y<0?0:1;break;case cm:Math.abs(Math.floor(e.y)%2)===1?e.y=Math.ceil(e.y)-e.y:e.y=e.y-Math.floor(e.y);break}return this.flipY&&(e.y=1-e.y),e}set needsUpdate(e){e===!0&&(this.version++,this.source.needsUpdate=!0)}set needsPMREMUpdate(e){e===!0&&this.pmremVersion++}}wi.DEFAULT_IMAGE=null;wi.DEFAULT_MAPPING=vy;wi.DEFAULT_ANISOTROPY=1;class jn{constructor(e=0,t=0,n=0,s=1){jn.prototype.isVector4=!0,this.x=e,this.y=t,this.z=n,this.w=s}get width(){return this.z}set width(e){this.z=e}get height(){return this.w}set height(e){this.w=e}set(e,t,n,s){return this.x=e,this.y=t,this.z=n,this.w=s,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this.w=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setW(e){return this.w=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;case 3:this.w=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this.w=e.w!==void 0?e.w:1,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this.w+=e.w,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this.w+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this.w=e.w+t.w,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this.w+=e.w*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this.w-=e.w,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this.w-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this.w=e.w-t.w,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this.w*=e.w,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this.w*=e,this}applyMatrix4(e){const t=this.x,n=this.y,s=this.z,u=this.w,f=e.elements;return this.x=f[0]*t+f[4]*n+f[8]*s+f[12]*u,this.y=f[1]*t+f[5]*n+f[9]*s+f[13]*u,this.z=f[2]*t+f[6]*n+f[10]*s+f[14]*u,this.w=f[3]*t+f[7]*n+f[11]*s+f[15]*u,this}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this.w/=e.w,this}divideScalar(e){return this.multiplyScalar(1/e)}setAxisAngleFromQuaternion(e){this.w=2*Math.acos(e.w);const t=Math.sqrt(1-e.w*e.w);return t<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=e.x/t,this.y=e.y/t,this.z=e.z/t),this}setAxisAngleFromRotationMatrix(e){let t,n,s,u;const m=e.elements,g=m[0],_=m[4],x=m[8],b=m[1],M=m[5],A=m[9],R=m[2],w=m[6],E=m[10];if(Math.abs(_-b)<.01&&Math.abs(x-R)<.01&&Math.abs(A-w)<.01){if(Math.abs(_+b)<.1&&Math.abs(x+R)<.1&&Math.abs(A+w)<.1&&Math.abs(g+M+E-3)<.1)return this.set(1,0,0,0),this;t=Math.PI;const D=(g+1)/2,U=(M+1)/2,B=(E+1)/2,z=(_+b)/4,H=(x+R)/4,W=(A+w)/4;return D>U&&D>B?D<.01?(n=0,s=.707106781,u=.707106781):(n=Math.sqrt(D),s=z/n,u=H/n):U>B?U<.01?(n=.707106781,s=0,u=.707106781):(s=Math.sqrt(U),n=z/s,u=W/s):B<.01?(n=.707106781,s=.707106781,u=0):(u=Math.sqrt(B),n=H/u,s=W/u),this.set(n,s,u,t),this}let N=Math.sqrt((w-A)*(w-A)+(x-R)*(x-R)+(b-_)*(b-_));return Math.abs(N)<.001&&(N=1),this.x=(w-A)/N,this.y=(x-R)/N,this.z=(b-_)/N,this.w=Math.acos((g+M+E-1)/2),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this.w=t[15],this}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this.w=Math.min(this.w,e.w),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this.w=Math.max(this.w,e.w),this}clamp(e,t){return this.x=Ht(this.x,e.x,t.x),this.y=Ht(this.y,e.y,t.y),this.z=Ht(this.z,e.z,t.z),this.w=Ht(this.w,e.w,t.w),this}clampScalar(e,t){return this.x=Ht(this.x,e,t),this.y=Ht(this.y,e,t),this.z=Ht(this.z,e,t),this.w=Ht(this.w,e,t),this}clampLength(e,t){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Ht(n,e,t))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this.w=Math.floor(this.w),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this.w=Math.ceil(this.w),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this.w=Math.round(this.w),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this.w=Math.trunc(this.w),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this.w=-this.w,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z+this.w*e.w}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this.w+=(e.w-this.w)*t,this}lerpVectors(e,t,n){return this.x=e.x+(t.x-e.x)*n,this.y=e.y+(t.y-e.y)*n,this.z=e.z+(t.z-e.z)*n,this.w=e.w+(t.w-e.w)*n,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z&&e.w===this.w}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this.w=e[t+3],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e[t+3]=this.w,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this.w=e.getW(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this.w=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z,yield this.w}}class Cb extends ko{constructor(e=1,t=1,n={}){super(),n=Object.assign({generateMipmaps:!1,internalFormat:null,minFilter:oi,depthBuffer:!0,stencilBuffer:!1,resolveDepthBuffer:!0,resolveStencilBuffer:!0,depthTexture:null,samples:0,count:1,depth:1,multiview:!1},n),this.isRenderTarget=!0,this.width=e,this.height=t,this.depth=n.depth,this.scissor=new jn(0,0,e,t),this.scissorTest=!1,this.viewport=new jn(0,0,e,t);const s={width:e,height:t,depth:n.depth},u=new wi(s);this.textures=[];const f=n.count;for(let h=0;h1);this.dispose()}this.viewport.set(0,0,e,t),this.scissor.set(0,0,e,t)}clone(){return new this.constructor().copy(this)}copy(e){this.width=e.width,this.height=e.height,this.depth=e.depth,this.scissor.copy(e.scissor),this.scissorTest=e.scissorTest,this.viewport.copy(e.viewport),this.textures.length=0;for(let t=0,n=e.textures.length;t=this.min.x&&e.x<=this.max.x&&e.y>=this.min.y&&e.y<=this.max.y&&e.z>=this.min.z&&e.z<=this.max.z}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y&&this.min.z<=e.min.z&&e.max.z<=this.max.z}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y),(e.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(e){return e.max.x>=this.min.x&&e.min.x<=this.max.x&&e.max.y>=this.min.y&&e.min.y<=this.max.y&&e.max.z>=this.min.z&&e.min.z<=this.max.z}intersectsSphere(e){return this.clampPoint(e.center,Gr),Gr.distanceToSquared(e.center)<=e.radius*e.radius}intersectsPlane(e){let t,n;return e.normal.x>0?(t=e.normal.x*this.min.x,n=e.normal.x*this.max.x):(t=e.normal.x*this.max.x,n=e.normal.x*this.min.x),e.normal.y>0?(t+=e.normal.y*this.min.y,n+=e.normal.y*this.max.y):(t+=e.normal.y*this.max.y,n+=e.normal.y*this.min.y),e.normal.z>0?(t+=e.normal.z*this.min.z,n+=e.normal.z*this.max.z):(t+=e.normal.z*this.max.z,n+=e.normal.z*this.min.z),t<=-e.constant&&n>=-e.constant}intersectsTriangle(e){if(this.isEmpty())return!1;this.getCenter(Ip),x0.subVectors(this.max,Ip),yh.subVectors(e.a,Ip),_h.subVectors(e.b,Ip),xh.subVectors(e.c,Ip),Mu.subVectors(_h,yh),Eu.subVectors(xh,_h),Rc.subVectors(yh,xh);let t=[0,-Mu.z,Mu.y,0,-Eu.z,Eu.y,0,-Rc.z,Rc.y,Mu.z,0,-Mu.x,Eu.z,0,-Eu.x,Rc.z,0,-Rc.x,-Mu.y,Mu.x,0,-Eu.y,Eu.x,0,-Rc.y,Rc.x,0];return!X_(t,yh,_h,xh,x0)||(t=[1,0,0,0,1,0,0,0,1],!X_(t,yh,_h,xh,x0))?!1:(b0.crossVectors(Mu,Eu),t=[b0.x,b0.y,b0.z],X_(t,yh,_h,xh,x0))}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,Gr).distanceTo(e)}getBoundingSphere(e){return this.isEmpty()?e.makeEmpty():(this.getCenter(e.center),e.radius=this.getSize(Gr).length()*.5),e}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}applyMatrix4(e){return this.isEmpty()?this:(bl[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(e),bl[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(e),bl[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(e),bl[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(e),bl[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(e),bl[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(e),bl[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(e),bl[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(e),this.setFromPoints(bl),this)}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}toJSON(){return{min:this.min.toArray(),max:this.max.toArray()}}fromJSON(e){return this.min.fromArray(e.min),this.max.fromArray(e.max),this}}const bl=[new j,new j,new j,new j,new j,new j,new j,new j],Gr=new j,_0=new za,yh=new j,_h=new j,xh=new j,Mu=new j,Eu=new j,Rc=new j,Ip=new j,x0=new j,b0=new j,Nc=new j;function X_(r,e,t,n,s){for(let u=0,f=r.length-3;u<=f;u+=3){Nc.fromArray(r,u);const h=s.x*Math.abs(Nc.x)+s.y*Math.abs(Nc.y)+s.z*Math.abs(Nc.z),m=e.dot(Nc),g=t.dot(Nc),_=n.dot(Nc);if(Math.max(-Math.max(m,g,_),Math.min(m,g,_))>h)return!1}return!0}const mR=new za,Op=new j,W_=new j;class _a{constructor(e=new j,t=-1){this.isSphere=!0,this.center=e,this.radius=t}set(e,t){return this.center.copy(e),this.radius=t,this}setFromPoints(e,t){const n=this.center;t!==void 0?n.copy(t):mR.setFromPoints(e).getCenter(n);let s=0;for(let u=0,f=e.length;uthis.radius*this.radius&&(t.sub(this.center).normalize(),t.multiplyScalar(this.radius).add(this.center)),t}getBoundingBox(e){return this.isEmpty()?(e.makeEmpty(),e):(e.set(this.center,this.center),e.expandByScalar(this.radius),e)}applyMatrix4(e){return this.center.applyMatrix4(e),this.radius=this.radius*e.getMaxScaleOnAxis(),this}translate(e){return this.center.add(e),this}expandByPoint(e){if(this.isEmpty())return this.center.copy(e),this.radius=0,this;Op.subVectors(e,this.center);const t=Op.lengthSq();if(t>this.radius*this.radius){const n=Math.sqrt(t),s=(n-this.radius)*.5;this.center.addScaledVector(Op,s/n),this.radius+=s}return this}union(e){return e.isEmpty()?this:this.isEmpty()?(this.copy(e),this):(this.center.equals(e.center)===!0?this.radius=Math.max(this.radius,e.radius):(W_.subVectors(e.center,this.center).setLength(e.radius),this.expandByPoint(Op.copy(e.center).add(W_)),this.expandByPoint(Op.copy(e.center).sub(W_))),this)}equals(e){return e.center.equals(this.center)&&e.radius===this.radius}clone(){return new this.constructor().copy(this)}toJSON(){return{radius:this.radius,center:this.center.toArray()}}fromJSON(e){return this.radius=e.radius,this.center.fromArray(e.center),this}}const Sl=new j,q_=new j,S0=new j,Tu=new j,j_=new j,M0=new j,Y_=new j;class of{constructor(e=new j,t=new j(0,0,-1)){this.origin=e,this.direction=t}set(e,t){return this.origin.copy(e),this.direction.copy(t),this}copy(e){return this.origin.copy(e.origin),this.direction.copy(e.direction),this}at(e,t){return t.copy(this.origin).addScaledVector(this.direction,e)}lookAt(e){return this.direction.copy(e).sub(this.origin).normalize(),this}recast(e){return this.origin.copy(this.at(e,Sl)),this}closestPointToPoint(e,t){t.subVectors(e,this.origin);const n=t.dot(this.direction);return n<0?t.copy(this.origin):t.copy(this.origin).addScaledVector(this.direction,n)}distanceToPoint(e){return Math.sqrt(this.distanceSqToPoint(e))}distanceSqToPoint(e){const t=Sl.subVectors(e,this.origin).dot(this.direction);return t<0?this.origin.distanceToSquared(e):(Sl.copy(this.origin).addScaledVector(this.direction,t),Sl.distanceToSquared(e))}distanceSqToSegment(e,t,n,s){q_.copy(e).add(t).multiplyScalar(.5),S0.copy(t).sub(e).normalize(),Tu.copy(this.origin).sub(q_);const u=e.distanceTo(t)*.5,f=-this.direction.dot(S0),h=Tu.dot(this.direction),m=-Tu.dot(S0),g=Tu.lengthSq(),_=Math.abs(1-f*f);let x,b,M,A;if(_>0)if(x=f*m-h,b=f*h-m,A=u*_,x>=0)if(b>=-A)if(b<=A){const R=1/_;x*=R,b*=R,M=x*(x+f*b+2*h)+b*(f*x+b+2*m)+g}else b=u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;else b=-u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;else b<=-A?(x=Math.max(0,-(-f*u+h)),b=x>0?-u:Math.min(Math.max(-u,-m),u),M=-x*x+b*(b+2*m)+g):b<=A?(x=0,b=Math.min(Math.max(-u,-m),u),M=b*(b+2*m)+g):(x=Math.max(0,-(f*u+h)),b=x>0?u:Math.min(Math.max(-u,-m),u),M=-x*x+b*(b+2*m)+g);else b=f>0?-u:u,x=Math.max(0,-(f*b+h)),M=-x*x+b*(b+2*m)+g;return n&&n.copy(this.origin).addScaledVector(this.direction,x),s&&s.copy(q_).addScaledVector(S0,b),M}intersectSphere(e,t){Sl.subVectors(e.center,this.origin);const n=Sl.dot(this.direction),s=Sl.dot(Sl)-n*n,u=e.radius*e.radius;if(s>u)return null;const f=Math.sqrt(u-s),h=n-f,m=n+f;return m<0?null:h<0?this.at(m,t):this.at(h,t)}intersectsSphere(e){return e.radius<0?!1:this.distanceSqToPoint(e.center)<=e.radius*e.radius}distanceToPlane(e){const t=e.normal.dot(this.direction);if(t===0)return e.distanceToPoint(this.origin)===0?0:null;const n=-(this.origin.dot(e.normal)+e.constant)/t;return n>=0?n:null}intersectPlane(e,t){const n=this.distanceToPlane(e);return n===null?null:this.at(n,t)}intersectsPlane(e){const t=e.distanceToPoint(this.origin);return t===0||e.normal.dot(this.direction)*t<0}intersectBox(e,t){let n,s,u,f,h,m;const g=1/this.direction.x,_=1/this.direction.y,x=1/this.direction.z,b=this.origin;return g>=0?(n=(e.min.x-b.x)*g,s=(e.max.x-b.x)*g):(n=(e.max.x-b.x)*g,s=(e.min.x-b.x)*g),_>=0?(u=(e.min.y-b.y)*_,f=(e.max.y-b.y)*_):(u=(e.max.y-b.y)*_,f=(e.min.y-b.y)*_),n>f||u>s||((u>n||isNaN(n))&&(n=u),(f=0?(h=(e.min.z-b.z)*x,m=(e.max.z-b.z)*x):(h=(e.max.z-b.z)*x,m=(e.min.z-b.z)*x),n>m||h>s)||((h>n||n!==n)&&(n=h),(m=0?n:s,t)}intersectsBox(e){return this.intersectBox(e,Sl)!==null}intersectTriangle(e,t,n,s,u){j_.subVectors(t,e),M0.subVectors(n,e),Y_.crossVectors(j_,M0);let f=this.direction.dot(Y_),h;if(f>0){if(s)return null;h=1}else if(f<0)h=-1,f=-f;else return null;Tu.subVectors(this.origin,e);const m=h*this.direction.dot(M0.crossVectors(Tu,M0));if(m<0)return null;const g=h*this.direction.dot(j_.cross(Tu));if(g<0||m+g>f)return null;const _=-h*Tu.dot(Y_);return _<0?null:this.at(_/f,u)}applyMatrix4(e){return this.origin.applyMatrix4(e),this.direction.transformDirection(e),this}equals(e){return e.origin.equals(this.origin)&&e.direction.equals(this.direction)}clone(){return new this.constructor().copy(this)}}class Xt{constructor(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w){Xt.prototype.isMatrix4=!0,this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],e!==void 0&&this.set(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w)}set(e,t,n,s,u,f,h,m,g,_,x,b,M,A,R,w){const E=this.elements;return E[0]=e,E[4]=t,E[8]=n,E[12]=s,E[1]=u,E[5]=f,E[9]=h,E[13]=m,E[2]=g,E[6]=_,E[10]=x,E[14]=b,E[3]=M,E[7]=A,E[11]=R,E[15]=w,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return new Xt().fromArray(this.elements)}copy(e){const t=this.elements,n=e.elements;return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],t[9]=n[9],t[10]=n[10],t[11]=n[11],t[12]=n[12],t[13]=n[13],t[14]=n[14],t[15]=n[15],this}copyPosition(e){const t=this.elements,n=e.elements;return t[12]=n[12],t[13]=n[13],t[14]=n[14],this}setFromMatrix3(e){const t=e.elements;return this.set(t[0],t[3],t[6],0,t[1],t[4],t[7],0,t[2],t[5],t[8],0,0,0,0,1),this}extractBasis(e,t,n){return this.determinant()===0?(e.set(1,0,0),t.set(0,1,0),n.set(0,0,1),this):(e.setFromMatrixColumn(this,0),t.setFromMatrixColumn(this,1),n.setFromMatrixColumn(this,2),this)}makeBasis(e,t,n){return this.set(e.x,t.x,n.x,0,e.y,t.y,n.y,0,e.z,t.z,n.z,0,0,0,0,1),this}extractRotation(e){if(e.determinant()===0)return this.identity();const t=this.elements,n=e.elements,s=1/bh.setFromMatrixColumn(e,0).length(),u=1/bh.setFromMatrixColumn(e,1).length(),f=1/bh.setFromMatrixColumn(e,2).length();return t[0]=n[0]*s,t[1]=n[1]*s,t[2]=n[2]*s,t[3]=0,t[4]=n[4]*u,t[5]=n[5]*u,t[6]=n[6]*u,t[7]=0,t[8]=n[8]*f,t[9]=n[9]*f,t[10]=n[10]*f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromEuler(e){const t=this.elements,n=e.x,s=e.y,u=e.z,f=Math.cos(n),h=Math.sin(n),m=Math.cos(s),g=Math.sin(s),_=Math.cos(u),x=Math.sin(u);if(e.order==="XYZ"){const b=f*_,M=f*x,A=h*_,R=h*x;t[0]=m*_,t[4]=-m*x,t[8]=g,t[1]=M+A*g,t[5]=b-R*g,t[9]=-h*m,t[2]=R-b*g,t[6]=A+M*g,t[10]=f*m}else if(e.order==="YXZ"){const b=m*_,M=m*x,A=g*_,R=g*x;t[0]=b+R*h,t[4]=A*h-M,t[8]=f*g,t[1]=f*x,t[5]=f*_,t[9]=-h,t[2]=M*h-A,t[6]=R+b*h,t[10]=f*m}else if(e.order==="ZXY"){const b=m*_,M=m*x,A=g*_,R=g*x;t[0]=b-R*h,t[4]=-f*x,t[8]=A+M*h,t[1]=M+A*h,t[5]=f*_,t[9]=R-b*h,t[2]=-f*g,t[6]=h,t[10]=f*m}else if(e.order==="ZYX"){const b=f*_,M=f*x,A=h*_,R=h*x;t[0]=m*_,t[4]=A*g-M,t[8]=b*g+R,t[1]=m*x,t[5]=R*g+b,t[9]=M*g-A,t[2]=-g,t[6]=h*m,t[10]=f*m}else if(e.order==="YZX"){const b=f*m,M=f*g,A=h*m,R=h*g;t[0]=m*_,t[4]=R-b*x,t[8]=A*x+M,t[1]=x,t[5]=f*_,t[9]=-h*_,t[2]=-g*_,t[6]=M*x+A,t[10]=b-R*x}else if(e.order==="XZY"){const b=f*m,M=f*g,A=h*m,R=h*g;t[0]=m*_,t[4]=-x,t[8]=g*_,t[1]=b*x+R,t[5]=f*_,t[9]=M*x-A,t[2]=A*x-M,t[6]=h*_,t[10]=R*x+b}return t[3]=0,t[7]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromQuaternion(e){return this.compose(gR,e,vR)}lookAt(e,t,n){const s=this.elements;return Bs.subVectors(e,t),Bs.lengthSq()===0&&(Bs.z=1),Bs.normalize(),Au.crossVectors(n,Bs),Au.lengthSq()===0&&(Math.abs(n.z)===1?Bs.x+=1e-4:Bs.z+=1e-4,Bs.normalize(),Au.crossVectors(n,Bs)),Au.normalize(),E0.crossVectors(Bs,Au),s[0]=Au.x,s[4]=E0.x,s[8]=Bs.x,s[1]=Au.y,s[5]=E0.y,s[9]=Bs.y,s[2]=Au.z,s[6]=E0.z,s[10]=Bs.z,this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const n=e.elements,s=t.elements,u=this.elements,f=n[0],h=n[4],m=n[8],g=n[12],_=n[1],x=n[5],b=n[9],M=n[13],A=n[2],R=n[6],w=n[10],E=n[14],N=n[3],D=n[7],U=n[11],B=n[15],z=s[0],H=s[4],W=s[8],I=s[12],P=s[1],Z=s[5],se=s[9],te=s[13],fe=s[2],pe=s[6],Y=s[10],q=s[14],ne=s[3],be=s[7],Ne=s[11],X=s[15];return u[0]=f*z+h*P+m*fe+g*ne,u[4]=f*H+h*Z+m*pe+g*be,u[8]=f*W+h*se+m*Y+g*Ne,u[12]=f*I+h*te+m*q+g*X,u[1]=_*z+x*P+b*fe+M*ne,u[5]=_*H+x*Z+b*pe+M*be,u[9]=_*W+x*se+b*Y+M*Ne,u[13]=_*I+x*te+b*q+M*X,u[2]=A*z+R*P+w*fe+E*ne,u[6]=A*H+R*Z+w*pe+E*be,u[10]=A*W+R*se+w*Y+E*Ne,u[14]=A*I+R*te+w*q+E*X,u[3]=N*z+D*P+U*fe+B*ne,u[7]=N*H+D*Z+U*pe+B*be,u[11]=N*W+D*se+U*Y+B*Ne,u[15]=N*I+D*te+U*q+B*X,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[4]*=e,t[8]*=e,t[12]*=e,t[1]*=e,t[5]*=e,t[9]*=e,t[13]*=e,t[2]*=e,t[6]*=e,t[10]*=e,t[14]*=e,t[3]*=e,t[7]*=e,t[11]*=e,t[15]*=e,this}determinant(){const e=this.elements,t=e[0],n=e[4],s=e[8],u=e[12],f=e[1],h=e[5],m=e[9],g=e[13],_=e[2],x=e[6],b=e[10],M=e[14],A=e[3],R=e[7],w=e[11],E=e[15],N=m*M-g*b,D=h*M-g*x,U=h*b-m*x,B=f*M-g*_,z=f*b-m*_,H=f*x-h*_;return t*(R*N-w*D+E*U)-n*(A*N-w*B+E*z)+s*(A*D-R*B+E*H)-u*(A*U-R*z+w*H)}transpose(){const e=this.elements;let t;return t=e[1],e[1]=e[4],e[4]=t,t=e[2],e[2]=e[8],e[8]=t,t=e[6],e[6]=e[9],e[9]=t,t=e[3],e[3]=e[12],e[12]=t,t=e[7],e[7]=e[13],e[13]=t,t=e[11],e[11]=e[14],e[14]=t,this}setPosition(e,t,n){const s=this.elements;return e.isVector3?(s[12]=e.x,s[13]=e.y,s[14]=e.z):(s[12]=e,s[13]=t,s[14]=n),this}invert(){const e=this.elements,t=e[0],n=e[1],s=e[2],u=e[3],f=e[4],h=e[5],m=e[6],g=e[7],_=e[8],x=e[9],b=e[10],M=e[11],A=e[12],R=e[13],w=e[14],E=e[15],N=x*w*g-R*b*g+R*m*M-h*w*M-x*m*E+h*b*E,D=A*b*g-_*w*g-A*m*M+f*w*M+_*m*E-f*b*E,U=_*R*g-A*x*g+A*h*M-f*R*M-_*h*E+f*x*E,B=A*x*m-_*R*m-A*h*b+f*R*b+_*h*w-f*x*w,z=t*N+n*D+s*U+u*B;if(z===0)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const H=1/z;return e[0]=N*H,e[1]=(R*b*u-x*w*u-R*s*M+n*w*M+x*s*E-n*b*E)*H,e[2]=(h*w*u-R*m*u+R*s*g-n*w*g-h*s*E+n*m*E)*H,e[3]=(x*m*u-h*b*u-x*s*g+n*b*g+h*s*M-n*m*M)*H,e[4]=D*H,e[5]=(_*w*u-A*b*u+A*s*M-t*w*M-_*s*E+t*b*E)*H,e[6]=(A*m*u-f*w*u-A*s*g+t*w*g+f*s*E-t*m*E)*H,e[7]=(f*b*u-_*m*u+_*s*g-t*b*g-f*s*M+t*m*M)*H,e[8]=U*H,e[9]=(A*x*u-_*R*u-A*n*M+t*R*M+_*n*E-t*x*E)*H,e[10]=(f*R*u-A*h*u+A*n*g-t*R*g-f*n*E+t*h*E)*H,e[11]=(_*h*u-f*x*u-_*n*g+t*x*g+f*n*M-t*h*M)*H,e[12]=B*H,e[13]=(_*R*s-A*x*s+A*n*b-t*R*b-_*n*w+t*x*w)*H,e[14]=(A*h*s-f*R*s-A*n*m+t*R*m+f*n*w-t*h*w)*H,e[15]=(f*x*s-_*h*s+_*n*m-t*x*m-f*n*b+t*h*b)*H,this}scale(e){const t=this.elements,n=e.x,s=e.y,u=e.z;return t[0]*=n,t[4]*=s,t[8]*=u,t[1]*=n,t[5]*=s,t[9]*=u,t[2]*=n,t[6]*=s,t[10]*=u,t[3]*=n,t[7]*=s,t[11]*=u,this}getMaxScaleOnAxis(){const e=this.elements,t=e[0]*e[0]+e[1]*e[1]+e[2]*e[2],n=e[4]*e[4]+e[5]*e[5]+e[6]*e[6],s=e[8]*e[8]+e[9]*e[9]+e[10]*e[10];return Math.sqrt(Math.max(t,n,s))}makeTranslation(e,t,n){return e.isVector3?this.set(1,0,0,e.x,0,1,0,e.y,0,0,1,e.z,0,0,0,1):this.set(1,0,0,e,0,1,0,t,0,0,1,n,0,0,0,1),this}makeRotationX(e){const t=Math.cos(e),n=Math.sin(e);return this.set(1,0,0,0,0,t,-n,0,0,n,t,0,0,0,0,1),this}makeRotationY(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,0,n,0,0,1,0,0,-n,0,t,0,0,0,0,1),this}makeRotationZ(e){const t=Math.cos(e),n=Math.sin(e);return this.set(t,-n,0,0,n,t,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(e,t){const n=Math.cos(t),s=Math.sin(t),u=1-n,f=e.x,h=e.y,m=e.z,g=u*f,_=u*h;return this.set(g*f+n,g*h-s*m,g*m+s*h,0,g*h+s*m,_*h+n,_*m-s*f,0,g*m-s*h,_*m+s*f,u*m*m+n,0,0,0,0,1),this}makeScale(e,t,n){return this.set(e,0,0,0,0,t,0,0,0,0,n,0,0,0,0,1),this}makeShear(e,t,n,s,u,f){return this.set(1,n,u,0,e,1,f,0,t,s,1,0,0,0,0,1),this}compose(e,t,n){const s=this.elements,u=t._x,f=t._y,h=t._z,m=t._w,g=u+u,_=f+f,x=h+h,b=u*g,M=u*_,A=u*x,R=f*_,w=f*x,E=h*x,N=m*g,D=m*_,U=m*x,B=n.x,z=n.y,H=n.z;return s[0]=(1-(R+E))*B,s[1]=(M+U)*B,s[2]=(A-D)*B,s[3]=0,s[4]=(M-U)*z,s[5]=(1-(b+E))*z,s[6]=(w+N)*z,s[7]=0,s[8]=(A+D)*H,s[9]=(w-N)*H,s[10]=(1-(b+R))*H,s[11]=0,s[12]=e.x,s[13]=e.y,s[14]=e.z,s[15]=1,this}decompose(e,t,n){const s=this.elements;if(e.x=s[12],e.y=s[13],e.z=s[14],this.determinant()===0)return n.set(1,1,1),t.identity(),this;let u=bh.set(s[0],s[1],s[2]).length();const f=bh.set(s[4],s[5],s[6]).length(),h=bh.set(s[8],s[9],s[10]).length();this.determinant()<0&&(u=-u),Xr.copy(this);const g=1/u,_=1/f,x=1/h;return Xr.elements[0]*=g,Xr.elements[1]*=g,Xr.elements[2]*=g,Xr.elements[4]*=_,Xr.elements[5]*=_,Xr.elements[6]*=_,Xr.elements[8]*=x,Xr.elements[9]*=x,Xr.elements[10]*=x,t.setFromRotationMatrix(Xr),n.x=u,n.y=f,n.z=h,this}makePerspective(e,t,n,s,u,f,h=ks,m=!1){const g=this.elements,_=2*u/(t-e),x=2*u/(n-s),b=(t+e)/(t-e),M=(n+s)/(n-s);let A,R;if(m)A=u/(f-u),R=f*u/(f-u);else if(h===ks)A=-(f+u)/(f-u),R=-2*f*u/(f-u);else if(h===Yh)A=-f/(f-u),R=-f*u/(f-u);else throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: "+h);return g[0]=_,g[4]=0,g[8]=b,g[12]=0,g[1]=0,g[5]=x,g[9]=M,g[13]=0,g[2]=0,g[6]=0,g[10]=A,g[14]=R,g[3]=0,g[7]=0,g[11]=-1,g[15]=0,this}makeOrthographic(e,t,n,s,u,f,h=ks,m=!1){const g=this.elements,_=2/(t-e),x=2/(n-s),b=-(t+e)/(t-e),M=-(n+s)/(n-s);let A,R;if(m)A=1/(f-u),R=f/(f-u);else if(h===ks)A=-2/(f-u),R=-(f+u)/(f-u);else if(h===Yh)A=-1/(f-u),R=-u/(f-u);else throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: "+h);return g[0]=_,g[4]=0,g[8]=0,g[12]=b,g[1]=0,g[5]=x,g[9]=0,g[13]=M,g[2]=0,g[6]=0,g[10]=A,g[14]=R,g[3]=0,g[7]=0,g[11]=0,g[15]=1,this}equals(e){const t=this.elements,n=e.elements;for(let s=0;s<16;s++)if(t[s]!==n[s])return!1;return!0}fromArray(e,t=0){for(let n=0;n<16;n++)this.elements[n]=e[n+t];return this}toArray(e=[],t=0){const n=this.elements;return e[t]=n[0],e[t+1]=n[1],e[t+2]=n[2],e[t+3]=n[3],e[t+4]=n[4],e[t+5]=n[5],e[t+6]=n[6],e[t+7]=n[7],e[t+8]=n[8],e[t+9]=n[9],e[t+10]=n[10],e[t+11]=n[11],e[t+12]=n[12],e[t+13]=n[13],e[t+14]=n[14],e[t+15]=n[15],e}}const bh=new j,Xr=new Xt,gR=new j(0,0,0),vR=new j(1,1,1),Au=new j,E0=new j,Bs=new j,uM=new Xt,cM=new Pa;class Gs{constructor(e=0,t=0,n=0,s=Gs.DEFAULT_ORDER){this.isEuler=!0,this._x=e,this._y=t,this._z=n,this._order=s}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get order(){return this._order}set order(e){this._order=e,this._onChangeCallback()}set(e,t,n,s=this._order){return this._x=e,this._y=t,this._z=n,this._order=s,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(e){return this._x=e._x,this._y=e._y,this._z=e._z,this._order=e._order,this._onChangeCallback(),this}setFromRotationMatrix(e,t=this._order,n=!0){const s=e.elements,u=s[0],f=s[4],h=s[8],m=s[1],g=s[5],_=s[9],x=s[2],b=s[6],M=s[10];switch(t){case"XYZ":this._y=Math.asin(Ht(h,-1,1)),Math.abs(h)<.9999999?(this._x=Math.atan2(-_,M),this._z=Math.atan2(-f,u)):(this._x=Math.atan2(b,g),this._z=0);break;case"YXZ":this._x=Math.asin(-Ht(_,-1,1)),Math.abs(_)<.9999999?(this._y=Math.atan2(h,M),this._z=Math.atan2(m,g)):(this._y=Math.atan2(-x,u),this._z=0);break;case"ZXY":this._x=Math.asin(Ht(b,-1,1)),Math.abs(b)<.9999999?(this._y=Math.atan2(-x,M),this._z=Math.atan2(-f,g)):(this._y=0,this._z=Math.atan2(m,u));break;case"ZYX":this._y=Math.asin(-Ht(x,-1,1)),Math.abs(x)<.9999999?(this._x=Math.atan2(b,M),this._z=Math.atan2(m,u)):(this._x=0,this._z=Math.atan2(-f,g));break;case"YZX":this._z=Math.asin(Ht(m,-1,1)),Math.abs(m)<.9999999?(this._x=Math.atan2(-_,g),this._y=Math.atan2(-x,u)):(this._x=0,this._y=Math.atan2(h,M));break;case"XZY":this._z=Math.asin(-Ht(f,-1,1)),Math.abs(f)<.9999999?(this._x=Math.atan2(b,g),this._y=Math.atan2(h,u)):(this._x=Math.atan2(-_,M),this._y=0);break;default:ft("Euler: .setFromRotationMatrix() encountered an unknown order: "+t)}return this._order=t,n===!0&&this._onChangeCallback(),this}setFromQuaternion(e,t,n){return uM.makeRotationFromQuaternion(e),this.setFromRotationMatrix(uM,t,n)}setFromVector3(e,t=this._order){return this.set(e.x,e.y,e.z,t)}reorder(e){return cM.setFromEuler(this),this.setFromQuaternion(cM,e)}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._order===this._order}fromArray(e){return this._x=e[0],this._y=e[1],this._z=e[2],e[3]!==void 0&&(this._order=e[3]),this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._order,e}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._order}}Gs.DEFAULT_ORDER="XYZ";class Kh{constructor(){this.mask=1}set(e){this.mask=(1<>>0}enable(e){this.mask|=1<1){for(let t=0;t1){for(let n=0;n0&&(s.userData=this.userData),s.layers=this.layers.mask,s.matrix=this.matrix.toArray(),s.up=this.up.toArray(),this.matrixAutoUpdate===!1&&(s.matrixAutoUpdate=!1),this.isInstancedMesh&&(s.type="InstancedMesh",s.count=this.count,s.instanceMatrix=this.instanceMatrix.toJSON(),this.instanceColor!==null&&(s.instanceColor=this.instanceColor.toJSON())),this.isBatchedMesh&&(s.type="BatchedMesh",s.perObjectFrustumCulled=this.perObjectFrustumCulled,s.sortObjects=this.sortObjects,s.drawRanges=this._drawRanges,s.reservedRanges=this._reservedRanges,s.geometryInfo=this._geometryInfo.map(h=>({...h,boundingBox:h.boundingBox?h.boundingBox.toJSON():void 0,boundingSphere:h.boundingSphere?h.boundingSphere.toJSON():void 0})),s.instanceInfo=this._instanceInfo.map(h=>({...h})),s.availableInstanceIds=this._availableInstanceIds.slice(),s.availableGeometryIds=this._availableGeometryIds.slice(),s.nextIndexStart=this._nextIndexStart,s.nextVertexStart=this._nextVertexStart,s.geometryCount=this._geometryCount,s.maxInstanceCount=this._maxInstanceCount,s.maxVertexCount=this._maxVertexCount,s.maxIndexCount=this._maxIndexCount,s.geometryInitialized=this._geometryInitialized,s.matricesTexture=this._matricesTexture.toJSON(e),s.indirectTexture=this._indirectTexture.toJSON(e),this._colorsTexture!==null&&(s.colorsTexture=this._colorsTexture.toJSON(e)),this.boundingSphere!==null&&(s.boundingSphere=this.boundingSphere.toJSON()),this.boundingBox!==null&&(s.boundingBox=this.boundingBox.toJSON()));function u(h,m){return h[m.uuid]===void 0&&(h[m.uuid]=m.toJSON(e)),m.uuid}if(this.isScene)this.background&&(this.background.isColor?s.background=this.background.toJSON():this.background.isTexture&&(s.background=this.background.toJSON(e).uuid)),this.environment&&this.environment.isTexture&&this.environment.isRenderTargetTexture!==!0&&(s.environment=this.environment.toJSON(e).uuid);else if(this.isMesh||this.isLine||this.isPoints){s.geometry=u(e.geometries,this.geometry);const h=this.geometry.parameters;if(h!==void 0&&h.shapes!==void 0){const m=h.shapes;if(Array.isArray(m))for(let g=0,_=m.length;g<_;g++){const x=m[g];u(e.shapes,x)}else u(e.shapes,m)}}if(this.isSkinnedMesh&&(s.bindMode=this.bindMode,s.bindMatrix=this.bindMatrix.toArray(),this.skeleton!==void 0&&(u(e.skeletons,this.skeleton),s.skeleton=this.skeleton.uuid)),this.material!==void 0)if(Array.isArray(this.material)){const h=[];for(let m=0,g=this.material.length;m0){s.children=[];for(let h=0;h0){s.animations=[];for(let h=0;h0&&(n.geometries=h),m.length>0&&(n.materials=m),g.length>0&&(n.textures=g),_.length>0&&(n.images=_),x.length>0&&(n.shapes=x),b.length>0&&(n.skeletons=b),M.length>0&&(n.animations=M),A.length>0&&(n.nodes=A)}return n.object=s,n;function f(h){const m=[];for(const g in h){const _=h[g];delete _.metadata,m.push(_)}return m}}clone(e){return new this.constructor().copy(this,e)}copy(e,t=!0){if(this.name=e.name,this.up.copy(e.up),this.position.copy(e.position),this.rotation.order=e.rotation.order,this.quaternion.copy(e.quaternion),this.scale.copy(e.scale),this.matrix.copy(e.matrix),this.matrixWorld.copy(e.matrixWorld),this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrixWorldAutoUpdate=e.matrixWorldAutoUpdate,this.matrixWorldNeedsUpdate=e.matrixWorldNeedsUpdate,this.layers.mask=e.layers.mask,this.visible=e.visible,this.castShadow=e.castShadow,this.receiveShadow=e.receiveShadow,this.frustumCulled=e.frustumCulled,this.renderOrder=e.renderOrder,this.animations=e.animations.slice(),this.userData=JSON.parse(JSON.stringify(e.userData)),t===!0)for(let n=0;n0?s.multiplyScalar(1/Math.sqrt(u)):s.set(0,0,0)}static getBarycoord(e,t,n,s,u){Wr.subVectors(s,t),El.subVectors(n,t),Q_.subVectors(e,t);const f=Wr.dot(Wr),h=Wr.dot(El),m=Wr.dot(Q_),g=El.dot(El),_=El.dot(Q_),x=f*g-h*h;if(x===0)return u.set(0,0,0),null;const b=1/x,M=(g*m-h*_)*b,A=(f*_-h*m)*b;return u.set(1-M-A,A,M)}static containsPoint(e,t,n,s){return this.getBarycoord(e,t,n,s,Tl)===null?!1:Tl.x>=0&&Tl.y>=0&&Tl.x+Tl.y<=1}static getInterpolation(e,t,n,s,u,f,h,m){return this.getBarycoord(e,t,n,s,Tl)===null?(m.x=0,m.y=0,"z"in m&&(m.z=0),"w"in m&&(m.w=0),null):(m.setScalar(0),m.addScaledVector(u,Tl.x),m.addScaledVector(f,Tl.y),m.addScaledVector(h,Tl.z),m)}static getInterpolatedAttribute(e,t,n,s,u,f){return ex.setScalar(0),tx.setScalar(0),nx.setScalar(0),ex.fromBufferAttribute(e,t),tx.fromBufferAttribute(e,n),nx.fromBufferAttribute(e,s),f.setScalar(0),f.addScaledVector(ex,u.x),f.addScaledVector(tx,u.y),f.addScaledVector(nx,u.z),f}static isFrontFacing(e,t,n,s){return Wr.subVectors(n,t),El.subVectors(e,t),Wr.cross(El).dot(s)<0}set(e,t,n){return this.a.copy(e),this.b.copy(t),this.c.copy(n),this}setFromPointsAndIndices(e,t,n,s){return this.a.copy(e[t]),this.b.copy(e[n]),this.c.copy(e[s]),this}setFromAttributeAndIndices(e,t,n,s){return this.a.fromBufferAttribute(e,t),this.b.fromBufferAttribute(e,n),this.c.fromBufferAttribute(e,s),this}clone(){return new this.constructor().copy(this)}copy(e){return this.a.copy(e.a),this.b.copy(e.b),this.c.copy(e.c),this}getArea(){return Wr.subVectors(this.c,this.b),El.subVectors(this.a,this.b),Wr.cross(El).length()*.5}getMidpoint(e){return e.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(e){return Cs.getNormal(this.a,this.b,this.c,e)}getPlane(e){return e.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(e,t){return Cs.getBarycoord(e,this.a,this.b,this.c,t)}getInterpolation(e,t,n,s,u){return Cs.getInterpolation(e,this.a,this.b,this.c,t,n,s,u)}containsPoint(e){return Cs.containsPoint(e,this.a,this.b,this.c)}isFrontFacing(e){return Cs.isFrontFacing(this.a,this.b,this.c,e)}intersectsBox(e){return e.intersectsTriangle(this)}closestPointToPoint(e,t){const n=this.a,s=this.b,u=this.c;let f,h;Eh.subVectors(s,n),Th.subVectors(u,n),K_.subVectors(e,n);const m=Eh.dot(K_),g=Th.dot(K_);if(m<=0&&g<=0)return t.copy(n);J_.subVectors(e,s);const _=Eh.dot(J_),x=Th.dot(J_);if(_>=0&&x<=_)return t.copy(s);const b=m*x-_*g;if(b<=0&&m>=0&&_<=0)return f=m/(m-_),t.copy(n).addScaledVector(Eh,f);$_.subVectors(e,u);const M=Eh.dot($_),A=Th.dot($_);if(A>=0&&M<=A)return t.copy(u);const R=M*g-m*A;if(R<=0&&g>=0&&A<=0)return h=g/(g-A),t.copy(n).addScaledVector(Th,h);const w=_*A-M*x;if(w<=0&&x-_>=0&&M-A>=0)return gM.subVectors(u,s),h=(x-_)/(x-_+(M-A)),t.copy(s).addScaledVector(gM,h);const E=1/(w+R+b);return f=R*E,h=b*E,t.copy(n).addScaledVector(Eh,f).addScaledVector(Th,h)}equals(e){return e.a.equals(this.a)&&e.b.equals(this.b)&&e.c.equals(this.c)}}const HE={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},wu={h:0,s:0,l:0},A0={h:0,s:0,l:0};function ix(r,e,t){return t<0&&(t+=1),t>1&&(t-=1),t<1/6?r+(e-r)*6*t:t<1/2?e:t<2/3?r+(e-r)*6*(2/3-t):r}class yt{constructor(e,t,n){return this.isColor=!0,this.r=1,this.g=1,this.b=1,this.set(e,t,n)}set(e,t,n){if(t===void 0&&n===void 0){const s=e;s&&s.isColor?this.copy(s):typeof s=="number"?this.setHex(s):typeof s=="string"&&this.setStyle(s)}else this.setRGB(e,t,n);return this}setScalar(e){return this.r=e,this.g=e,this.b=e,this}setHex(e,t=Ia){return e=Math.floor(e),this.r=(e>>16&255)/255,this.g=(e>>8&255)/255,this.b=(e&255)/255,Sn.colorSpaceToWorking(this,t),this}setRGB(e,t,n,s=Sn.workingColorSpace){return this.r=e,this.g=t,this.b=n,Sn.colorSpaceToWorking(this,s),this}setHSL(e,t,n,s=Sn.workingColorSpace){if(e=wb(e,1),t=Ht(t,0,1),n=Ht(n,0,1),t===0)this.r=this.g=this.b=n;else{const u=n<=.5?n*(1+t):n+t-n*t,f=2*n-u;this.r=ix(f,u,e+1/3),this.g=ix(f,u,e),this.b=ix(f,u,e-1/3)}return Sn.colorSpaceToWorking(this,s),this}setStyle(e,t=Ia){function n(u){u!==void 0&&parseFloat(u)<1&&ft("Color: Alpha component of "+e+" will be ignored.")}let s;if(s=/^(\w+)\(([^\)]*)\)/.exec(e)){let u;const f=s[1],h=s[2];switch(f){case"rgb":case"rgba":if(u=/^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setRGB(Math.min(255,parseInt(u[1],10))/255,Math.min(255,parseInt(u[2],10))/255,Math.min(255,parseInt(u[3],10))/255,t);if(u=/^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setRGB(Math.min(100,parseInt(u[1],10))/100,Math.min(100,parseInt(u[2],10))/100,Math.min(100,parseInt(u[3],10))/100,t);break;case"hsl":case"hsla":if(u=/^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(h))return n(u[4]),this.setHSL(parseFloat(u[1])/360,parseFloat(u[2])/100,parseFloat(u[3])/100,t);break;default:ft("Color: Unknown color model "+e)}}else if(s=/^\#([A-Fa-f\d]+)$/.exec(e)){const u=s[1],f=u.length;if(f===3)return this.setRGB(parseInt(u.charAt(0),16)/15,parseInt(u.charAt(1),16)/15,parseInt(u.charAt(2),16)/15,t);if(f===6)return this.setHex(parseInt(u,16),t);ft("Color: Invalid hex color "+e)}else if(e&&e.length>0)return this.setColorName(e,t);return this}setColorName(e,t=Ia){const n=HE[e.toLowerCase()];return n!==void 0?this.setHex(n,t):ft("Color: Unknown color "+e),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(e){return this.r=e.r,this.g=e.g,this.b=e.b,this}copySRGBToLinear(e){return this.r=Nl(e.r),this.g=Nl(e.g),this.b=Nl(e.b),this}copyLinearToSRGB(e){return this.r=Wh(e.r),this.g=Wh(e.g),this.b=Wh(e.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(e=Ia){return Sn.workingToColorSpace(La.copy(this),e),Math.round(Ht(La.r*255,0,255))*65536+Math.round(Ht(La.g*255,0,255))*256+Math.round(Ht(La.b*255,0,255))}getHexString(e=Ia){return("000000"+this.getHex(e).toString(16)).slice(-6)}getHSL(e,t=Sn.workingColorSpace){Sn.workingToColorSpace(La.copy(this),t);const n=La.r,s=La.g,u=La.b,f=Math.max(n,s,u),h=Math.min(n,s,u);let m,g;const _=(h+f)/2;if(h===f)m=0,g=0;else{const x=f-h;switch(g=_<=.5?x/(f+h):x/(2-f-h),f){case n:m=(s-u)/x+(s0!=e>0&&this.version++,this._alphaTest=e}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(e){if(e!==void 0)for(const t in e){const n=e[t];if(n===void 0){ft(`Material: parameter '${t}' has value of undefined.`);continue}const s=this[t];if(s===void 0){ft(`Material: '${t}' is not a property of THREE.${this.type}.`);continue}s&&s.isColor?s.set(n):s&&s.isVector3&&n&&n.isVector3?s.copy(n):this[t]=n}}toJSON(e){const t=e===void 0||typeof e=="string";t&&(e={textures:{},images:{}});const n={metadata:{version:4.7,type:"Material",generator:"Material.toJSON"}};n.uuid=this.uuid,n.type=this.type,this.name!==""&&(n.name=this.name),this.color&&this.color.isColor&&(n.color=this.color.getHex()),this.roughness!==void 0&&(n.roughness=this.roughness),this.metalness!==void 0&&(n.metalness=this.metalness),this.sheen!==void 0&&(n.sheen=this.sheen),this.sheenColor&&this.sheenColor.isColor&&(n.sheenColor=this.sheenColor.getHex()),this.sheenRoughness!==void 0&&(n.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(n.emissive=this.emissive.getHex()),this.emissiveIntensity!==void 0&&this.emissiveIntensity!==1&&(n.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(n.specular=this.specular.getHex()),this.specularIntensity!==void 0&&(n.specularIntensity=this.specularIntensity),this.specularColor&&this.specularColor.isColor&&(n.specularColor=this.specularColor.getHex()),this.shininess!==void 0&&(n.shininess=this.shininess),this.clearcoat!==void 0&&(n.clearcoat=this.clearcoat),this.clearcoatRoughness!==void 0&&(n.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(n.clearcoatMap=this.clearcoatMap.toJSON(e).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(n.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(e).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(n.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(e).uuid,n.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.sheenColorMap&&this.sheenColorMap.isTexture&&(n.sheenColorMap=this.sheenColorMap.toJSON(e).uuid),this.sheenRoughnessMap&&this.sheenRoughnessMap.isTexture&&(n.sheenRoughnessMap=this.sheenRoughnessMap.toJSON(e).uuid),this.dispersion!==void 0&&(n.dispersion=this.dispersion),this.iridescence!==void 0&&(n.iridescence=this.iridescence),this.iridescenceIOR!==void 0&&(n.iridescenceIOR=this.iridescenceIOR),this.iridescenceThicknessRange!==void 0&&(n.iridescenceThicknessRange=this.iridescenceThicknessRange),this.iridescenceMap&&this.iridescenceMap.isTexture&&(n.iridescenceMap=this.iridescenceMap.toJSON(e).uuid),this.iridescenceThicknessMap&&this.iridescenceThicknessMap.isTexture&&(n.iridescenceThicknessMap=this.iridescenceThicknessMap.toJSON(e).uuid),this.anisotropy!==void 0&&(n.anisotropy=this.anisotropy),this.anisotropyRotation!==void 0&&(n.anisotropyRotation=this.anisotropyRotation),this.anisotropyMap&&this.anisotropyMap.isTexture&&(n.anisotropyMap=this.anisotropyMap.toJSON(e).uuid),this.map&&this.map.isTexture&&(n.map=this.map.toJSON(e).uuid),this.matcap&&this.matcap.isTexture&&(n.matcap=this.matcap.toJSON(e).uuid),this.alphaMap&&this.alphaMap.isTexture&&(n.alphaMap=this.alphaMap.toJSON(e).uuid),this.lightMap&&this.lightMap.isTexture&&(n.lightMap=this.lightMap.toJSON(e).uuid,n.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(n.aoMap=this.aoMap.toJSON(e).uuid,n.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(n.bumpMap=this.bumpMap.toJSON(e).uuid,n.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(n.normalMap=this.normalMap.toJSON(e).uuid,n.normalMapType=this.normalMapType,n.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(n.displacementMap=this.displacementMap.toJSON(e).uuid,n.displacementScale=this.displacementScale,n.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(n.roughnessMap=this.roughnessMap.toJSON(e).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(n.metalnessMap=this.metalnessMap.toJSON(e).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(n.emissiveMap=this.emissiveMap.toJSON(e).uuid),this.specularMap&&this.specularMap.isTexture&&(n.specularMap=this.specularMap.toJSON(e).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(n.specularIntensityMap=this.specularIntensityMap.toJSON(e).uuid),this.specularColorMap&&this.specularColorMap.isTexture&&(n.specularColorMap=this.specularColorMap.toJSON(e).uuid),this.envMap&&this.envMap.isTexture&&(n.envMap=this.envMap.toJSON(e).uuid,this.combine!==void 0&&(n.combine=this.combine)),this.envMapRotation!==void 0&&(n.envMapRotation=this.envMapRotation.toArray()),this.envMapIntensity!==void 0&&(n.envMapIntensity=this.envMapIntensity),this.reflectivity!==void 0&&(n.reflectivity=this.reflectivity),this.refractionRatio!==void 0&&(n.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(n.gradientMap=this.gradientMap.toJSON(e).uuid),this.transmission!==void 0&&(n.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(n.transmissionMap=this.transmissionMap.toJSON(e).uuid),this.thickness!==void 0&&(n.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(n.thicknessMap=this.thicknessMap.toJSON(e).uuid),this.attenuationDistance!==void 0&&this.attenuationDistance!==1/0&&(n.attenuationDistance=this.attenuationDistance),this.attenuationColor!==void 0&&(n.attenuationColor=this.attenuationColor.getHex()),this.size!==void 0&&(n.size=this.size),this.shadowSide!==null&&(n.shadowSide=this.shadowSide),this.sizeAttenuation!==void 0&&(n.sizeAttenuation=this.sizeAttenuation),this.blending!==Kc&&(n.blending=this.blending),this.side!==Ll&&(n.side=this.side),this.vertexColors===!0&&(n.vertexColors=!0),this.opacity<1&&(n.opacity=this.opacity),this.transparent===!0&&(n.transparent=!0),this.blendSrc!==vv&&(n.blendSrc=this.blendSrc),this.blendDst!==yv&&(n.blendDst=this.blendDst),this.blendEquation!==Du&&(n.blendEquation=this.blendEquation),this.blendSrcAlpha!==null&&(n.blendSrcAlpha=this.blendSrcAlpha),this.blendDstAlpha!==null&&(n.blendDstAlpha=this.blendDstAlpha),this.blendEquationAlpha!==null&&(n.blendEquationAlpha=this.blendEquationAlpha),this.blendColor&&this.blendColor.isColor&&(n.blendColor=this.blendColor.getHex()),this.blendAlpha!==0&&(n.blendAlpha=this.blendAlpha),this.depthFunc!==ef&&(n.depthFunc=this.depthFunc),this.depthTest===!1&&(n.depthTest=this.depthTest),this.depthWrite===!1&&(n.depthWrite=this.depthWrite),this.colorWrite===!1&&(n.colorWrite=this.colorWrite),this.stencilWriteMask!==255&&(n.stencilWriteMask=this.stencilWriteMask),this.stencilFunc!==qx&&(n.stencilFunc=this.stencilFunc),this.stencilRef!==0&&(n.stencilRef=this.stencilRef),this.stencilFuncMask!==255&&(n.stencilFuncMask=this.stencilFuncMask),this.stencilFail!==Wc&&(n.stencilFail=this.stencilFail),this.stencilZFail!==Wc&&(n.stencilZFail=this.stencilZFail),this.stencilZPass!==Wc&&(n.stencilZPass=this.stencilZPass),this.stencilWrite===!0&&(n.stencilWrite=this.stencilWrite),this.rotation!==void 0&&this.rotation!==0&&(n.rotation=this.rotation),this.polygonOffset===!0&&(n.polygonOffset=!0),this.polygonOffsetFactor!==0&&(n.polygonOffsetFactor=this.polygonOffsetFactor),this.polygonOffsetUnits!==0&&(n.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth!==void 0&&this.linewidth!==1&&(n.linewidth=this.linewidth),this.dashSize!==void 0&&(n.dashSize=this.dashSize),this.gapSize!==void 0&&(n.gapSize=this.gapSize),this.scale!==void 0&&(n.scale=this.scale),this.dithering===!0&&(n.dithering=!0),this.alphaTest>0&&(n.alphaTest=this.alphaTest),this.alphaHash===!0&&(n.alphaHash=!0),this.alphaToCoverage===!0&&(n.alphaToCoverage=!0),this.premultipliedAlpha===!0&&(n.premultipliedAlpha=!0),this.forceSinglePass===!0&&(n.forceSinglePass=!0),this.allowOverride===!1&&(n.allowOverride=!1),this.wireframe===!0&&(n.wireframe=!0),this.wireframeLinewidth>1&&(n.wireframeLinewidth=this.wireframeLinewidth),this.wireframeLinecap!=="round"&&(n.wireframeLinecap=this.wireframeLinecap),this.wireframeLinejoin!=="round"&&(n.wireframeLinejoin=this.wireframeLinejoin),this.flatShading===!0&&(n.flatShading=!0),this.visible===!1&&(n.visible=!1),this.toneMapped===!1&&(n.toneMapped=!1),this.fog===!1&&(n.fog=!1),Object.keys(this.userData).length>0&&(n.userData=this.userData);function s(u){const f=[];for(const h in u){const m=u[h];delete m.metadata,f.push(m)}return f}if(t){const u=s(e.textures),f=s(e.images);u.length>0&&(n.textures=u),f.length>0&&(n.images=f)}return n}clone(){return new this.constructor().copy(this)}copy(e){this.name=e.name,this.blending=e.blending,this.side=e.side,this.vertexColors=e.vertexColors,this.opacity=e.opacity,this.transparent=e.transparent,this.blendSrc=e.blendSrc,this.blendDst=e.blendDst,this.blendEquation=e.blendEquation,this.blendSrcAlpha=e.blendSrcAlpha,this.blendDstAlpha=e.blendDstAlpha,this.blendEquationAlpha=e.blendEquationAlpha,this.blendColor.copy(e.blendColor),this.blendAlpha=e.blendAlpha,this.depthFunc=e.depthFunc,this.depthTest=e.depthTest,this.depthWrite=e.depthWrite,this.stencilWriteMask=e.stencilWriteMask,this.stencilFunc=e.stencilFunc,this.stencilRef=e.stencilRef,this.stencilFuncMask=e.stencilFuncMask,this.stencilFail=e.stencilFail,this.stencilZFail=e.stencilZFail,this.stencilZPass=e.stencilZPass,this.stencilWrite=e.stencilWrite;const t=e.clippingPlanes;let n=null;if(t!==null){const s=t.length;n=new Array(s);for(let u=0;u!==s;++u)n[u]=t[u].clone()}return this.clippingPlanes=n,this.clipIntersection=e.clipIntersection,this.clipShadows=e.clipShadows,this.shadowSide=e.shadowSide,this.colorWrite=e.colorWrite,this.precision=e.precision,this.polygonOffset=e.polygonOffset,this.polygonOffsetFactor=e.polygonOffsetFactor,this.polygonOffsetUnits=e.polygonOffsetUnits,this.dithering=e.dithering,this.alphaTest=e.alphaTest,this.alphaHash=e.alphaHash,this.alphaToCoverage=e.alphaToCoverage,this.premultipliedAlpha=e.premultipliedAlpha,this.forceSinglePass=e.forceSinglePass,this.allowOverride=e.allowOverride,this.visible=e.visible,this.toneMapped=e.toneMapped,this.userData=JSON.parse(JSON.stringify(e.userData)),this}dispose(){this.dispatchEvent({type:"dispose"})}set needsUpdate(e){e===!0&&this.version++}}class Vu extends Ba{constructor(e){super(),this.isMeshBasicMaterial=!0,this.type="MeshBasicMaterial",this.color=new yt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}const Rl=MR();function MR(){const r=new ArrayBuffer(4),e=new Float32Array(r),t=new Uint32Array(r),n=new Uint32Array(512),s=new Uint32Array(512);for(let m=0;m<256;++m){const g=m-127;g<-27?(n[m]=0,n[m|256]=32768,s[m]=24,s[m|256]=24):g<-14?(n[m]=1024>>-g-14,n[m|256]=1024>>-g-14|32768,s[m]=-g-1,s[m|256]=-g-1):g<=15?(n[m]=g+15<<10,n[m|256]=g+15<<10|32768,s[m]=13,s[m|256]=13):g<128?(n[m]=31744,n[m|256]=64512,s[m]=24,s[m|256]=24):(n[m]=31744,n[m|256]=64512,s[m]=13,s[m|256]=13)}const u=new Uint32Array(2048),f=new Uint32Array(64),h=new Uint32Array(64);for(let m=1;m<1024;++m){let g=m<<13,_=0;for(;(g&8388608)===0;)g<<=1,_-=8388608;g&=-8388609,_+=947912704,u[m]=g|_}for(let m=1024;m<2048;++m)u[m]=939524096+(m-1024<<13);for(let m=1;m<31;++m)f[m]=m<<23;f[31]=1199570944,f[32]=2147483648;for(let m=33;m<63;++m)f[m]=2147483648+(m-32<<23);f[63]=3347054592;for(let m=1;m<64;++m)m!==32&&(h[m]=1024);return{floatView:e,uint32View:t,baseTable:n,shiftTable:s,mantissaTable:u,exponentTable:f,offsetTable:h}}function As(r){Math.abs(r)>65504&&ft("DataUtils.toHalfFloat(): Value out of range."),r=Ht(r,-65504,65504),Rl.floatView[0]=r;const e=Rl.uint32View[0],t=e>>23&511;return Rl.baseTable[t]+((e&8388607)>>Rl.shiftTable[t])}function Yp(r){const e=r>>10;return Rl.uint32View[0]=Rl.mantissaTable[Rl.offsetTable[e]+(r&1023)]+Rl.exponentTable[e],Rl.floatView[0]}class ER{static toHalfFloat(e){return As(e)}static fromHalfFloat(e){return Yp(e)}}const ji=new j,w0=new ze;let TR=0;class Xn{constructor(e,t,n=!1){if(Array.isArray(e))throw new TypeError("THREE.BufferAttribute: array should be a Typed Array.");this.isBufferAttribute=!0,Object.defineProperty(this,"id",{value:TR++}),this.name="",this.array=e,this.itemSize=t,this.count=e!==void 0?e.length/t:0,this.normalized=n,this.usage=pm,this.updateRanges=[],this.gpuType=is,this.version=0}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.name=e.name,this.array=new e.array.constructor(e.array),this.itemSize=e.itemSize,this.count=e.count,this.normalized=e.normalized,this.usage=e.usage,this.gpuType=e.gpuType,this}copyAt(e,t,n){e*=this.itemSize,n*=t.itemSize;for(let s=0,u=this.itemSize;st.count&&ft("BufferGeometry: Buffer size too small for points data. Use .dispose() and create a new geometry."),t.needsUpdate=!0}return this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new za);const e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){Rt("BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box.",this),this.boundingBox.set(new j(-1/0,-1/0,-1/0),new j(1/0,1/0,1/0));return}if(e!==void 0){if(this.boundingBox.setFromBufferAttribute(e),t)for(let n=0,s=t.length;n0&&(e.userData=this.userData),this.parameters!==void 0){const m=this.parameters;for(const g in m)m[g]!==void 0&&(e[g]=m[g]);return e}e.data={attributes:{}};const t=this.index;t!==null&&(e.data.index={type:t.array.constructor.name,array:Array.prototype.slice.call(t.array)});const n=this.attributes;for(const m in n){const g=n[m];e.data.attributes[m]=g.toJSON(e.data)}const s={};let u=!1;for(const m in this.morphAttributes){const g=this.morphAttributes[m],_=[];for(let x=0,b=g.length;x0&&(s[m]=_,u=!0)}u&&(e.data.morphAttributes=s,e.data.morphTargetsRelative=this.morphTargetsRelative);const f=this.groups;f.length>0&&(e.data.groups=JSON.parse(JSON.stringify(f)));const h=this.boundingSphere;return h!==null&&(e.data.boundingSphere=h.toJSON()),e}clone(){return new this.constructor().copy(this)}copy(e){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const t={};this.name=e.name;const n=e.index;n!==null&&this.setIndex(n.clone());const s=e.attributes;for(const g in s){const _=s[g];this.setAttribute(g,_.clone(t))}const u=e.morphAttributes;for(const g in u){const _=[],x=u[g];for(let b=0,M=x.length;b0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;u(e.far-e.near)**2))&&(vM.copy(u).invert(),Dc.copy(e.ray).applyMatrix4(vM),!(n.boundingBox!==null&&Dc.intersectsBox(n.boundingBox)===!1)&&this._computeIntersections(e,t,Dc)))}_computeIntersections(e,t,n){let s;const u=this.geometry,f=this.material,h=u.index,m=u.attributes.position,g=u.attributes.uv,_=u.attributes.uv1,x=u.attributes.normal,b=u.groups,M=u.drawRange;if(h!==null)if(Array.isArray(f))for(let A=0,R=b.length;At.far?null:{distance:g,point:U0.clone(),object:r}}function I0(r,e,t,n,s,u,f,h,m,g){r.getVertexPosition(h,R0),r.getVertexPosition(m,N0),r.getVertexPosition(g,D0);const _=UR(r,e,t,n,R0,N0,D0,_M);if(_){const x=new j;Cs.getBarycoord(_M,R0,N0,D0,x),s&&(_.uv=Cs.getInterpolatedAttribute(s,h,m,g,x,new ze)),u&&(_.uv1=Cs.getInterpolatedAttribute(u,h,m,g,x,new ze)),f&&(_.normal=Cs.getInterpolatedAttribute(f,h,m,g,x,new j),_.normal.dot(n.direction)>0&&_.normal.multiplyScalar(-1));const b={a:h,b:m,c:g,normal:new j,materialIndex:0};Cs.getNormal(R0,N0,D0,b.normal),_.face=b,_.barycoord=x}return _}class lf extends Kt{constructor(e=1,t=1,n=1,s=1,u=1,f=1){super(),this.type="BoxGeometry",this.parameters={width:e,height:t,depth:n,widthSegments:s,heightSegments:u,depthSegments:f};const h=this;s=Math.floor(s),u=Math.floor(u),f=Math.floor(f);const m=[],g=[],_=[],x=[];let b=0,M=0;A("z","y","x",-1,-1,n,t,e,f,u,0),A("z","y","x",1,-1,n,t,-e,f,u,1),A("x","z","y",1,1,e,n,t,s,f,2),A("x","z","y",1,-1,e,n,-t,s,f,3),A("x","y","z",1,-1,e,t,n,s,u,4),A("x","y","z",-1,-1,e,t,-n,s,u,5),this.setIndex(m),this.setAttribute("position",new bt(g,3)),this.setAttribute("normal",new bt(_,3)),this.setAttribute("uv",new bt(x,2));function A(R,w,E,N,D,U,B,z,H,W,I){const P=U/H,Z=B/W,se=U/2,te=B/2,fe=z/2,pe=H+1,Y=W+1;let q=0,ne=0;const be=new j;for(let Ne=0;Ne0?1:-1,_.push(be.x,be.y,be.z),x.push(oe/H),x.push(1-Ne/W),q+=1}}for(let Ne=0;Ne0&&(t.defines=this.defines),t.vertexShader=this.vertexShader,t.fragmentShader=this.fragmentShader,t.lights=this.lights,t.clipping=this.clipping;const n={};for(const s in this.extensions)this.extensions[s]===!0&&(n[s]=!0);return Object.keys(n).length>0&&(t.extensions=n),t}}class Ry extends Cn{constructor(){super(),this.isCamera=!0,this.type="Camera",this.matrixWorldInverse=new Xt,this.projectionMatrix=new Xt,this.projectionMatrixInverse=new Xt,this.coordinateSystem=ks,this._reversedDepth=!1}get reversedDepth(){return this._reversedDepth}copy(e,t){return super.copy(e,t),this.matrixWorldInverse.copy(e.matrixWorldInverse),this.projectionMatrix.copy(e.projectionMatrix),this.projectionMatrixInverse.copy(e.projectionMatrixInverse),this.coordinateSystem=e.coordinateSystem,this}getWorldDirection(e){return super.getWorldDirection(e).negate()}updateMatrixWorld(e){super.updateMatrixWorld(e),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(e,t){super.updateWorldMatrix(e,t),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return new this.constructor().copy(this)}}const Cu=new j,xM=new ze,bM=new ze;class zi extends Ry{constructor(e=50,t=1,n=.1,s=2e3){super(),this.isPerspectiveCamera=!0,this.type="PerspectiveCamera",this.fov=e,this.zoom=1,this.near=n,this.far=s,this.focus=10,this.aspect=t,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.fov=e.fov,this.zoom=e.zoom,this.near=e.near,this.far=e.far,this.focus=e.focus,this.aspect=e.aspect,this.view=e.view===null?null:Object.assign({},e.view),this.filmGauge=e.filmGauge,this.filmOffset=e.filmOffset,this}setFocalLength(e){const t=.5*this.getFilmHeight()/e;this.fov=Qh*2*Math.atan(t),this.updateProjectionMatrix()}getFocalLength(){const e=Math.tan(Jc*.5*this.fov);return .5*this.getFilmHeight()/e}getEffectiveFOV(){return Qh*2*Math.atan(Math.tan(Jc*.5*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}getViewBounds(e,t,n){Cu.set(-1,-1,.5).applyMatrix4(this.projectionMatrixInverse),t.set(Cu.x,Cu.y).multiplyScalar(-e/Cu.z),Cu.set(1,1,.5).applyMatrix4(this.projectionMatrixInverse),n.set(Cu.x,Cu.y).multiplyScalar(-e/Cu.z)}getViewSize(e,t){return this.getViewBounds(e,xM,bM),t.subVectors(bM,xM)}setViewOffset(e,t,n,s,u,f){this.aspect=e/t,this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=n,this.view.offsetY=s,this.view.width=u,this.view.height=f,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const e=this.near;let t=e*Math.tan(Jc*.5*this.fov)/this.zoom,n=2*t,s=this.aspect*n,u=-.5*s;const f=this.view;if(this.view!==null&&this.view.enabled){const m=f.fullWidth,g=f.fullHeight;u+=f.offsetX*s/m,t-=f.offsetY*n/g,s*=f.width/m,n*=f.height/g}const h=this.filmOffset;h!==0&&(u+=e*h/this.getFilmWidth()),this.projectionMatrix.makePerspective(u,u+s,t,t-n,e,this.far,this.coordinateSystem,this.reversedDepth),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){const t=super.toJSON(e);return t.object.fov=this.fov,t.object.zoom=this.zoom,t.object.near=this.near,t.object.far=this.far,t.object.focus=this.focus,t.object.aspect=this.aspect,this.view!==null&&(t.object.view=Object.assign({},this.view)),t.object.filmGauge=this.filmGauge,t.object.filmOffset=this.filmOffset,t}}const wh=-90,Ch=1;class WE extends Cn{constructor(e,t,n){super(),this.type="CubeCamera",this.renderTarget=n,this.coordinateSystem=null,this.activeMipmapLevel=0;const s=new zi(wh,Ch,e,t);s.layers=this.layers,this.add(s);const u=new zi(wh,Ch,e,t);u.layers=this.layers,this.add(u);const f=new zi(wh,Ch,e,t);f.layers=this.layers,this.add(f);const h=new zi(wh,Ch,e,t);h.layers=this.layers,this.add(h);const m=new zi(wh,Ch,e,t);m.layers=this.layers,this.add(m);const g=new zi(wh,Ch,e,t);g.layers=this.layers,this.add(g)}updateCoordinateSystem(){const e=this.coordinateSystem,t=this.children.concat(),[n,s,u,f,h,m]=t;for(const g of t)this.remove(g);if(e===ks)n.up.set(0,1,0),n.lookAt(1,0,0),s.up.set(0,1,0),s.lookAt(-1,0,0),u.up.set(0,0,-1),u.lookAt(0,1,0),f.up.set(0,0,1),f.lookAt(0,-1,0),h.up.set(0,1,0),h.lookAt(0,0,1),m.up.set(0,1,0),m.lookAt(0,0,-1);else if(e===Yh)n.up.set(0,-1,0),n.lookAt(-1,0,0),s.up.set(0,-1,0),s.lookAt(1,0,0),u.up.set(0,0,1),u.lookAt(0,1,0),f.up.set(0,0,-1),f.lookAt(0,-1,0),h.up.set(0,-1,0),h.lookAt(0,0,1),m.up.set(0,-1,0),m.lookAt(0,0,-1);else throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: "+e);for(const g of t)this.add(g),g.updateMatrixWorld()}update(e,t){this.parent===null&&this.updateMatrixWorld();const{renderTarget:n,activeMipmapLevel:s}=this;this.coordinateSystem!==e.coordinateSystem&&(this.coordinateSystem=e.coordinateSystem,this.updateCoordinateSystem());const[u,f,h,m,g,_]=this.children,x=e.getRenderTarget(),b=e.getActiveCubeFace(),M=e.getActiveMipmapLevel(),A=e.xr.enabled;e.xr.enabled=!1;const R=n.texture.generateMipmaps;n.texture.generateMipmaps=!1,e.setRenderTarget(n,0,s),e.render(t,u),e.setRenderTarget(n,1,s),e.render(t,f),e.setRenderTarget(n,2,s),e.render(t,h),e.setRenderTarget(n,3,s),e.render(t,m),e.setRenderTarget(n,4,s),e.render(t,g),n.texture.generateMipmaps=R,e.setRenderTarget(n,5,s),e.render(t,_),e.setRenderTarget(x,b,M),e.xr.enabled=A,n.texture.needsPMREMUpdate=!0}}class Cm extends wi{constructor(e=[],t=zo,n,s,u,f,h,m,g,_){super(e,t,n,s,u,f,h,m,g,_),this.isCubeTexture=!0,this.flipY=!1}get images(){return this.image}set images(e){this.image=e}}class Db extends Hs{constructor(e=1,t={}){super(e,e,t),this.isWebGLCubeRenderTarget=!0;const n={width:e,height:e,depth:1},s=[n,n,n,n,n,n];this.texture=new Cm(s),this._setTextureOptions(t),this.texture.isRenderTargetTexture=!0}fromEquirectangularTexture(e,t){this.texture.type=t.type,this.texture.colorSpace=t.colorSpace,this.texture.generateMipmaps=t.generateMipmaps,this.texture.minFilter=t.minFilter,this.texture.magFilter=t.magFilter;const n={uniforms:{tEquirect:{value:null}},vertexShader:` + + varying vec3 vWorldDirection; + + vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); + + } + + void main() { + + vWorldDirection = transformDirection( position, modelMatrix ); + + #include + #include + + } + `,fragmentShader:` + + uniform sampler2D tEquirect; + + varying vec3 vWorldDirection; + + #include + + void main() { + + vec3 direction = normalize( vWorldDirection ); + + vec2 sampleUV = equirectUv( direction ); + + gl_FragColor = texture2D( tEquirect, sampleUV ); + + } + `},s=new lf(5,5,5),u=new yr({name:"CubemapFromEquirect",uniforms:Jh(n.uniforms),vertexShader:n.vertexShader,fragmentShader:n.fragmentShader,side:as,blending:Po});u.uniforms.tEquirect.value=t;const f=new Yi(s,u),h=t.minFilter;return t.minFilter===Io&&(t.minFilter=oi),new WE(1,10,this).update(e,f),t.minFilter=h,f.geometry.dispose(),f.material.dispose(),this}clear(e,t=!0,n=!0,s=!0){const u=e.getRenderTarget();for(let f=0;f<6;f++)e.setRenderTarget(this,f),e.clear(t,n,s);e.setRenderTarget(u)}}class Gh extends Cn{constructor(){super(),this.isGroup=!0,this.type="Group"}}const zR={type:"move"};class pv{constructor(){this._targetRay=null,this._grip=null,this._hand=null}getHandSpace(){return this._hand===null&&(this._hand=new Gh,this._hand.matrixAutoUpdate=!1,this._hand.visible=!1,this._hand.joints={},this._hand.inputState={pinching:!1}),this._hand}getTargetRaySpace(){return this._targetRay===null&&(this._targetRay=new Gh,this._targetRay.matrixAutoUpdate=!1,this._targetRay.visible=!1,this._targetRay.hasLinearVelocity=!1,this._targetRay.linearVelocity=new j,this._targetRay.hasAngularVelocity=!1,this._targetRay.angularVelocity=new j),this._targetRay}getGripSpace(){return this._grip===null&&(this._grip=new Gh,this._grip.matrixAutoUpdate=!1,this._grip.visible=!1,this._grip.hasLinearVelocity=!1,this._grip.linearVelocity=new j,this._grip.hasAngularVelocity=!1,this._grip.angularVelocity=new j),this._grip}dispatchEvent(e){return this._targetRay!==null&&this._targetRay.dispatchEvent(e),this._grip!==null&&this._grip.dispatchEvent(e),this._hand!==null&&this._hand.dispatchEvent(e),this}connect(e){if(e&&e.hand){const t=this._hand;if(t)for(const n of e.hand.values())this._getHandJoint(t,n)}return this.dispatchEvent({type:"connected",data:e}),this}disconnect(e){return this.dispatchEvent({type:"disconnected",data:e}),this._targetRay!==null&&(this._targetRay.visible=!1),this._grip!==null&&(this._grip.visible=!1),this._hand!==null&&(this._hand.visible=!1),this}update(e,t,n){let s=null,u=null,f=null;const h=this._targetRay,m=this._grip,g=this._hand;if(e&&t.session.visibilityState!=="visible-blurred"){if(g&&e.hand){f=!0;for(const R of e.hand.values()){const w=t.getJointPose(R,n),E=this._getHandJoint(g,R);w!==null&&(E.matrix.fromArray(w.transform.matrix),E.matrix.decompose(E.position,E.rotation,E.scale),E.matrixWorldNeedsUpdate=!0,E.jointRadius=w.radius),E.visible=w!==null}const _=g.joints["index-finger-tip"],x=g.joints["thumb-tip"],b=_.position.distanceTo(x.position),M=.02,A=.005;g.inputState.pinching&&b>M+A?(g.inputState.pinching=!1,this.dispatchEvent({type:"pinchend",handedness:e.handedness,target:this})):!g.inputState.pinching&&b<=M-A&&(g.inputState.pinching=!0,this.dispatchEvent({type:"pinchstart",handedness:e.handedness,target:this}))}else m!==null&&e.gripSpace&&(u=t.getPose(e.gripSpace,n),u!==null&&(m.matrix.fromArray(u.transform.matrix),m.matrix.decompose(m.position,m.rotation,m.scale),m.matrixWorldNeedsUpdate=!0,u.linearVelocity?(m.hasLinearVelocity=!0,m.linearVelocity.copy(u.linearVelocity)):m.hasLinearVelocity=!1,u.angularVelocity?(m.hasAngularVelocity=!0,m.angularVelocity.copy(u.angularVelocity)):m.hasAngularVelocity=!1));h!==null&&(s=t.getPose(e.targetRaySpace,n),s===null&&u!==null&&(s=u),s!==null&&(h.matrix.fromArray(s.transform.matrix),h.matrix.decompose(h.position,h.rotation,h.scale),h.matrixWorldNeedsUpdate=!0,s.linearVelocity?(h.hasLinearVelocity=!0,h.linearVelocity.copy(s.linearVelocity)):h.hasLinearVelocity=!1,s.angularVelocity?(h.hasAngularVelocity=!0,h.angularVelocity.copy(s.angularVelocity)):h.hasAngularVelocity=!1,this.dispatchEvent(zR)))}return h!==null&&(h.visible=s!==null),m!==null&&(m.visible=u!==null),g!==null&&(g.visible=f!==null),this}_getHandJoint(e,t){if(e.joints[t.jointName]===void 0){const n=new Gh;n.matrixAutoUpdate=!1,n.visible=!1,e.joints[t.jointName]=n,e.add(n)}return e.joints[t.jointName]}}class Ny{constructor(e,t=25e-5){this.isFogExp2=!0,this.name="",this.color=new yt(e),this.density=t}clone(){return new Ny(this.color,this.density)}toJSON(){return{type:"FogExp2",name:this.name,color:this.color.getHex(),density:this.density}}}class Dy{constructor(e,t=1,n=1e3){this.isFog=!0,this.name="",this.color=new yt(e),this.near=t,this.far=n}clone(){return new Dy(this.color,this.near,this.far)}toJSON(){return{type:"Fog",name:this.name,color:this.color.getHex(),near:this.near,far:this.far}}}class Lb extends Cn{constructor(){super(),this.isScene=!0,this.type="Scene",this.background=null,this.environment=null,this.fog=null,this.backgroundBlurriness=0,this.backgroundIntensity=1,this.backgroundRotation=new Gs,this.environmentIntensity=1,this.environmentRotation=new Gs,this.overrideMaterial=null,typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}copy(e,t){return super.copy(e,t),e.background!==null&&(this.background=e.background.clone()),e.environment!==null&&(this.environment=e.environment.clone()),e.fog!==null&&(this.fog=e.fog.clone()),this.backgroundBlurriness=e.backgroundBlurriness,this.backgroundIntensity=e.backgroundIntensity,this.backgroundRotation.copy(e.backgroundRotation),this.environmentIntensity=e.environmentIntensity,this.environmentRotation.copy(e.environmentRotation),e.overrideMaterial!==null&&(this.overrideMaterial=e.overrideMaterial.clone()),this.matrixAutoUpdate=e.matrixAutoUpdate,this}toJSON(e){const t=super.toJSON(e);return this.fog!==null&&(t.object.fog=this.fog.toJSON()),this.backgroundBlurriness>0&&(t.object.backgroundBlurriness=this.backgroundBlurriness),this.backgroundIntensity!==1&&(t.object.backgroundIntensity=this.backgroundIntensity),t.object.backgroundRotation=this.backgroundRotation.toArray(),this.environmentIntensity!==1&&(t.object.environmentIntensity=this.environmentIntensity),t.object.environmentRotation=this.environmentRotation.toArray(),t}}class Ly{constructor(e,t){this.isInterleavedBuffer=!0,this.array=e,this.stride=t,this.count=e!==void 0?e.length/t:0,this.usage=pm,this.updateRanges=[],this.version=0,this.uuid=Vs()}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.array=new e.array.constructor(e.array),this.count=e.count,this.stride=e.stride,this.usage=e.usage,this}copyAt(e,t,n){e*=this.stride,n*=t.stride;for(let s=0,u=this.stride;se.far||t.push({distance:m,point:Bp.clone(),uv:Cs.getInterpolation(Bp,O0,kp,P0,SM,rx,MM,new ze),face:null,object:this})}copy(e,t){return super.copy(e,t),e.center!==void 0&&this.center.copy(e.center),this.material=e.material,this}}function z0(r,e,t,n,s,u){Lh.subVectors(r,t).addScalar(.5).multiply(n),s!==void 0?(Fp.x=u*Lh.x-s*Lh.y,Fp.y=s*Lh.x+u*Lh.y):Fp.copy(Lh),r.copy(e),r.x+=Fp.x,r.y+=Fp.y,r.applyMatrix4(qE)}const B0=new j,EM=new j;class YE extends Cn{constructor(){super(),this.isLOD=!0,this._currentLevel=0,this.type="LOD",Object.defineProperties(this,{levels:{enumerable:!0,value:[]}}),this.autoUpdate=!0}copy(e){super.copy(e,!1);const t=e.levels;for(let n=0,s=t.length;n0){let n,s;for(n=1,s=t.length;n0){B0.setFromMatrixPosition(this.matrixWorld);const s=e.ray.origin.distanceTo(B0);this.getObjectForDistance(s).raycast(e,t)}}update(e){const t=this.levels;if(t.length>1){B0.setFromMatrixPosition(e.matrixWorld),EM.setFromMatrixPosition(this.matrixWorld);const n=B0.distanceTo(EM)/e.zoom;t[0].object.visible=!0;let s,u;for(s=1,u=t.length;s=f)t[s-1].object.visible=!1,t[s].object.visible=!0;else break}for(this._currentLevel=s-1;s1?null:t.copy(e.start).addScaledVector(n,u)}intersectsLine(e){const t=this.distanceToPoint(e.start),n=this.distanceToPoint(e.end);return t<0&&n>0||n<0&&t>0}intersectsBox(e){return e.intersectsPlane(this)}intersectsSphere(e){return e.intersectsPlane(this)}coplanarPoint(e){return e.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(e,t){const n=t||HR.getNormalMatrix(e),s=this.coplanarPoint(ux).applyMatrix4(e),u=this.normal.applyMatrix3(n).normalize();return this.constant=-s.dot(u),this}translate(e){return this.constant-=e.dot(this.normal),this}equals(e){return e.normal.equals(this.normal)&&e.constant===this.constant}clone(){return new this.constructor().copy(this)}}const Lc=new _a,GR=new ze(.5,.5),V0=new j;class ad{constructor(e=new wl,t=new wl,n=new wl,s=new wl,u=new wl,f=new wl){this.planes=[e,t,n,s,u,f]}set(e,t,n,s,u,f){const h=this.planes;return h[0].copy(e),h[1].copy(t),h[2].copy(n),h[3].copy(s),h[4].copy(u),h[5].copy(f),this}copy(e){const t=this.planes;for(let n=0;n<6;n++)t[n].copy(e.planes[n]);return this}setFromProjectionMatrix(e,t=ks,n=!1){const s=this.planes,u=e.elements,f=u[0],h=u[1],m=u[2],g=u[3],_=u[4],x=u[5],b=u[6],M=u[7],A=u[8],R=u[9],w=u[10],E=u[11],N=u[12],D=u[13],U=u[14],B=u[15];if(s[0].setComponents(g-f,M-_,E-A,B-N).normalize(),s[1].setComponents(g+f,M+_,E+A,B+N).normalize(),s[2].setComponents(g+h,M+x,E+R,B+D).normalize(),s[3].setComponents(g-h,M-x,E-R,B-D).normalize(),n)s[4].setComponents(m,b,w,U).normalize(),s[5].setComponents(g-m,M-b,E-w,B-U).normalize();else if(s[4].setComponents(g-m,M-b,E-w,B-U).normalize(),t===ks)s[5].setComponents(g+m,M+b,E+w,B+U).normalize();else if(t===Yh)s[5].setComponents(m,b,w,U).normalize();else throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: "+t);return this}intersectsObject(e){if(e.boundingSphere!==void 0)e.boundingSphere===null&&e.computeBoundingSphere(),Lc.copy(e.boundingSphere).applyMatrix4(e.matrixWorld);else{const t=e.geometry;t.boundingSphere===null&&t.computeBoundingSphere(),Lc.copy(t.boundingSphere).applyMatrix4(e.matrixWorld)}return this.intersectsSphere(Lc)}intersectsSprite(e){Lc.center.set(0,0,0);const t=GR.distanceTo(e.center);return Lc.radius=.7071067811865476+t,Lc.applyMatrix4(e.matrixWorld),this.intersectsSphere(Lc)}intersectsSphere(e){const t=this.planes,n=e.center,s=-e.radius;for(let u=0;u<6;u++)if(t[u].distanceToPoint(n)0?e.max.x:e.min.x,V0.y=s.normal.y>0?e.max.y:e.min.y,V0.z=s.normal.z>0?e.max.z:e.min.z,s.distanceToPoint(V0)<0)return!1}return!0}containsPoint(e){const t=this.planes;for(let n=0;n<6;n++)if(t[n].distanceToPoint(e)<0)return!1;return!0}clone(){return new this.constructor().copy(this)}}const No=new Xt,Do=new ad;class Iy{constructor(){this.coordinateSystem=ks}intersectsObject(e,t){if(!t.isArrayCamera||t.cameras.length===0)return!1;for(let n=0;n=u.length&&u.push({start:-1,count:-1,z:-1,index:-1});const h=u[this.index];f.push(h),this.index++,h.start=e,h.count=t,h.z=n,h.index=s}reset(){this.list.length=0,this.index=0}}const Ts=new Xt,jR=new yt(1,1,1),UM=new ad,YR=new Iy,H0=new za,Uc=new _a,Gp=new j,IM=new j,ZR=new j,fx=new qR,Ua=new Yi,G0=[];function QR(r,e,t=0){const n=e.itemSize;if(r.isInterleavedBufferAttribute||r.array.constructor!==e.array.constructor){const s=r.count;for(let u=0;u65535?new Uint32Array(s):new Uint16Array(s);t.setIndex(new Xn(u,1))}this._geometryInitialized=!0}}_validateGeometry(e){const t=this.geometry;if(!!e.getIndex()!=!!t.getIndex())throw new Error('THREE.BatchedMesh: All geometries must consistently have "index".');for(const n in t.attributes){if(!e.hasAttribute(n))throw new Error(`THREE.BatchedMesh: Added geometry missing "${n}". All geometries must have consistent attributes.`);const s=e.getAttribute(n),u=t.getAttribute(n);if(s.itemSize!==u.itemSize||s.normalized!==u.normalized)throw new Error("THREE.BatchedMesh: All attributes must have a consistent itemSize and normalized value.")}}validateInstanceId(e){const t=this._instanceInfo;if(e<0||e>=t.length||t[e].active===!1)throw new Error(`THREE.BatchedMesh: Invalid instanceId ${e}. Instance is either out of range or has been deleted.`)}validateGeometryId(e){const t=this._geometryInfo;if(e<0||e>=t.length||t[e].active===!1)throw new Error(`THREE.BatchedMesh: Invalid geometryId ${e}. Geometry is either out of range or has been deleted.`)}setCustomSort(e){return this.customSort=e,this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new za);const e=this.boundingBox,t=this._instanceInfo;e.makeEmpty();for(let n=0,s=t.length;n=this.maxInstanceCount&&this._availableInstanceIds.length===0)throw new Error("THREE.BatchedMesh: Maximum item count reached.");const n={visible:!0,active:!0,geometryIndex:e};let s=null;this._availableInstanceIds.length>0?(this._availableInstanceIds.sort(cx),s=this._availableInstanceIds.shift(),this._instanceInfo[s]=n):(s=this._instanceInfo.length,this._instanceInfo.push(n));const u=this._matricesTexture;Ts.identity().toArray(u.image.data,s*16),u.needsUpdate=!0;const f=this._colorsTexture;return f&&(jR.toArray(f.image.data,s*4),f.needsUpdate=!0),this._visibilityChanged=!0,s}addGeometry(e,t=-1,n=-1){this._initializeGeometry(e),this._validateGeometry(e);const s={vertexStart:-1,vertexCount:-1,reservedVertexCount:-1,indexStart:-1,indexCount:-1,reservedIndexCount:-1,start:-1,count:-1,boundingBox:null,boundingSphere:null,active:!0},u=this._geometryInfo;s.vertexStart=this._nextVertexStart,s.reservedVertexCount=t===-1?e.getAttribute("position").count:t;const f=e.getIndex();if(f!==null&&(s.indexStart=this._nextIndexStart,s.reservedIndexCount=n===-1?f.count:n),s.indexStart!==-1&&s.indexStart+s.reservedIndexCount>this._maxIndexCount||s.vertexStart+s.reservedVertexCount>this._maxVertexCount)throw new Error("THREE.BatchedMesh: Reserved space request exceeds the maximum buffer size.");let m;return this._availableGeometryIds.length>0?(this._availableGeometryIds.sort(cx),m=this._availableGeometryIds.shift(),u[m]=s):(m=this._geometryCount,this._geometryCount++,u.push(s)),this.setGeometryAt(m,e),this._nextIndexStart=s.indexStart+s.reservedIndexCount,this._nextVertexStart=s.vertexStart+s.reservedVertexCount,m}setGeometryAt(e,t){if(e>=this._geometryCount)throw new Error("THREE.BatchedMesh: Maximum geometry count reached.");this._validateGeometry(t);const n=this.geometry,s=n.getIndex()!==null,u=n.getIndex(),f=t.getIndex(),h=this._geometryInfo[e];if(s&&f.count>h.reservedIndexCount||t.attributes.position.count>h.reservedVertexCount)throw new Error("THREE.BatchedMesh: Reserved space not large enough for provided geometry.");const m=h.vertexStart,g=h.reservedVertexCount;h.vertexCount=t.getAttribute("position").count;for(const _ in n.attributes){const x=t.getAttribute(_),b=n.getAttribute(_);QR(x,b,m);const M=x.itemSize;for(let A=x.count,R=g;A=t.length||t[e].active===!1)return this;const n=this._instanceInfo;for(let s=0,u=n.length;sh).sort((f,h)=>n[f].vertexStart-n[h].vertexStart),u=this.geometry;for(let f=0,h=n.length;f=this._geometryCount)return null;const n=this.geometry,s=this._geometryInfo[e];if(s.boundingBox===null){const u=new za,f=n.index,h=n.attributes.position;for(let m=s.start,g=s.start+s.count;m=this._geometryCount)return null;const n=this.geometry,s=this._geometryInfo[e];if(s.boundingSphere===null){const u=new _a;this.getBoundingBoxAt(e,H0),H0.getCenter(u.center);const f=n.index,h=n.attributes.position;let m=0;for(let g=s.start,_=s.start+s.count;g<_;g++){let x=g;f&&(x=f.getX(x)),Gp.fromBufferAttribute(h,x),m=Math.max(m,u.center.distanceToSquared(Gp))}u.radius=Math.sqrt(m),s.boundingSphere=u}return t.copy(s.boundingSphere),t}setMatrixAt(e,t){this.validateInstanceId(e);const n=this._matricesTexture,s=this._matricesTexture.image.data;return t.toArray(s,e*16),n.needsUpdate=!0,this}getMatrixAt(e,t){return this.validateInstanceId(e),t.fromArray(this._matricesTexture.image.data,e*16)}setColorAt(e,t){return this.validateInstanceId(e),this._colorsTexture===null&&this._initColorsTexture(),t.toArray(this._colorsTexture.image.data,e*4),this._colorsTexture.needsUpdate=!0,this}getColorAt(e,t){return this.validateInstanceId(e),t.fromArray(this._colorsTexture.image.data,e*4)}setVisibleAt(e,t){return this.validateInstanceId(e),this._instanceInfo[e].visible===t?this:(this._instanceInfo[e].visible=t,this._visibilityChanged=!0,this)}getVisibleAt(e){return this.validateInstanceId(e),this._instanceInfo[e].visible}setGeometryIdAt(e,t){return this.validateInstanceId(e),this.validateGeometryId(t),this._instanceInfo[e].geometryIndex=t,this}getGeometryIdAt(e){return this.validateInstanceId(e),this._instanceInfo[e].geometryIndex}getGeometryRangeAt(e,t={}){this.validateGeometryId(e);const n=this._geometryInfo[e];return t.vertexStart=n.vertexStart,t.vertexCount=n.vertexCount,t.reservedVertexCount=n.reservedVertexCount,t.indexStart=n.indexStart,t.indexCount=n.indexCount,t.reservedIndexCount=n.reservedIndexCount,t.start=n.start,t.count=n.count,t}setInstanceCount(e){const t=this._availableInstanceIds,n=this._instanceInfo;for(t.sort(cx);t[t.length-1]===n.length-1;)n.pop(),t.pop();if(eh.active);if(Math.max(...n.map(h=>h.vertexStart+h.reservedVertexCount))>e)throw new Error(`BatchedMesh: Geometry vertex values are being used outside the range ${t}. Cannot shrink further.`);if(this.geometry.index&&Math.max(...n.map(m=>m.indexStart+m.reservedIndexCount))>t)throw new Error(`BatchedMesh: Geometry index values are being used outside the range ${t}. Cannot shrink further.`);const u=this.geometry;u.dispose(),this._maxVertexCount=e,this._maxIndexCount=t,this._geometryInitialized&&(this._geometryInitialized=!1,this.geometry=new Kt,this._initializeGeometry(u));const f=this.geometry;u.index&&Ic(u.index.array,f.index.array);for(const h in u.attributes)Ic(u.attributes[h].array,f.attributes[h].array)}raycast(e,t){const n=this._instanceInfo,s=this._geometryInfo,u=this.matrixWorld,f=this.geometry;Ua.material=this.material,Ua.geometry.index=f.index,Ua.geometry.attributes=f.attributes,Ua.geometry.boundingBox===null&&(Ua.geometry.boundingBox=new za),Ua.geometry.boundingSphere===null&&(Ua.geometry.boundingSphere=new _a);for(let h=0,m=n.length;h({...t,boundingBox:t.boundingBox!==null?t.boundingBox.clone():null,boundingSphere:t.boundingSphere!==null?t.boundingSphere.clone():null})),this._instanceInfo=e._instanceInfo.map(t=>({...t})),this._availableInstanceIds=e._availableInstanceIds.slice(),this._availableGeometryIds=e._availableGeometryIds.slice(),this._nextIndexStart=e._nextIndexStart,this._nextVertexStart=e._nextVertexStart,this._geometryCount=e._geometryCount,this._maxInstanceCount=e._maxInstanceCount,this._maxVertexCount=e._maxVertexCount,this._maxIndexCount=e._maxIndexCount,this._geometryInitialized=e._geometryInitialized,this._multiDrawCounts=e._multiDrawCounts.slice(),this._multiDrawStarts=e._multiDrawStarts.slice(),this._indirectTexture=e._indirectTexture.clone(),this._indirectTexture.image.data=this._indirectTexture.image.data.slice(),this._matricesTexture=e._matricesTexture.clone(),this._matricesTexture.image.data=this._matricesTexture.image.data.slice(),this._colorsTexture!==null&&(this._colorsTexture=e._colorsTexture.clone(),this._colorsTexture.image.data=this._colorsTexture.image.data.slice()),this}dispose(){this.geometry.dispose(),this._matricesTexture.dispose(),this._matricesTexture=null,this._indirectTexture.dispose(),this._indirectTexture=null,this._colorsTexture!==null&&(this._colorsTexture.dispose(),this._colorsTexture=null)}onBeforeRender(e,t,n,s,u){if(!this._visibilityChanged&&!this.perObjectFrustumCulled&&!this.sortObjects)return;const f=s.getIndex(),h=f===null?1:f.array.BYTES_PER_ELEMENT,m=this._instanceInfo,g=this._multiDrawStarts,_=this._multiDrawCounts,x=this._geometryInfo,b=this.perObjectFrustumCulled,M=this._indirectTexture,A=M.image.data,R=n.isArrayCamera?YR:UM;b&&!n.isArrayCamera&&(Ts.multiplyMatrices(n.projectionMatrix,n.matrixWorldInverse).multiply(this.matrixWorld),UM.setFromProjectionMatrix(Ts,n.coordinateSystem,n.reversedDepth));let w=0;if(this.sortObjects){Ts.copy(this.matrixWorld).invert(),Gp.setFromMatrixPosition(n.matrixWorld).applyMatrix4(Ts),IM.set(0,0,-1).transformDirection(n.matrixWorld).transformDirection(Ts);for(let D=0,U=m.length;D0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;un)return;hx.applyMatrix4(r.matrixWorld);const g=e.ray.origin.distanceTo(hx);if(!(ge.far))return{distance:g,point:PM.clone().applyMatrix4(r.matrixWorld),index:f,face:null,faceIndex:null,barycoord:null,object:r}}const zM=new j,BM=new j;class Vo extends Fu{constructor(e,t){super(e,t),this.isLineSegments=!0,this.type="LineSegments"}computeLineDistances(){const e=this.geometry;if(e.index===null){const t=e.attributes.position,n=[];for(let s=0,u=t.count;s0){const s=t[n[0]];if(s!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let u=0,f=s.length;us.far)return;u.push({distance:g,distanceToRay:Math.sqrt(h),point:m,index:e,face:null,faceIndex:null,barycoord:null,object:f})}}class eT extends wi{constructor(e,t,n,s,u=oi,f=oi,h,m,g){super(e,t,n,s,u,f,h,m,g),this.isVideoTexture=!0,this.generateMipmaps=!1,this._requestVideoFrameCallbackId=0;const _=this;function x(){_.needsUpdate=!0,_._requestVideoFrameCallbackId=e.requestVideoFrameCallback(x)}"requestVideoFrameCallback"in e&&(this._requestVideoFrameCallbackId=e.requestVideoFrameCallback(x))}clone(){return new this.constructor(this.image).copy(this)}update(){const e=this.image;"requestVideoFrameCallback"in e===!1&&e.readyState>=e.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}dispose(){this._requestVideoFrameCallbackId!==0&&(this.source.data.cancelVideoFrameCallback(this._requestVideoFrameCallbackId),this._requestVideoFrameCallbackId=0),super.dispose()}}class KR extends eT{constructor(e,t,n,s,u,f,h,m){super({},e,t,n,s,u,f,h,m),this.isVideoFrameTexture=!0}update(){}clone(){return new this.constructor().copy(this)}setFrame(e){this.image=e,this.needsUpdate=!0}}class JR extends wi{constructor(e,t){super({width:e,height:t}),this.isFramebufferTexture=!0,this.magFilter=Bi,this.minFilter=Bi,this.generateMipmaps=!1,this.needsUpdate=!0}}class Oy extends wi{constructor(e,t,n,s,u,f,h,m,g,_,x,b){super(null,f,h,m,g,_,s,u,x,b),this.isCompressedTexture=!0,this.image={width:t,height:n},this.mipmaps=e,this.flipY=!1,this.generateMipmaps=!1}}class $R extends Oy{constructor(e,t,n,s,u,f){super(e,t,n,u,f),this.isCompressedArrayTexture=!0,this.image.depth=s,this.wrapR=Rs,this.layerUpdates=new Set}addLayerUpdate(e){this.layerUpdates.add(e)}clearLayerUpdates(){this.layerUpdates.clear()}}class eN extends Oy{constructor(e,t,n){super(void 0,e[0].width,e[0].height,t,n,zo),this.isCompressedCubeTexture=!0,this.isCubeTexture=!0,this.image=e}}class tN extends wi{constructor(e,t,n,s,u,f,h,m,g){super(e,t,n,s,u,f,h,m,g),this.isCanvasTexture=!0,this.needsUpdate=!0}}class ed extends wi{constructor(e,t,n=vr,s,u,f,h=Bi,m=Bi,g,_=Fo,x=1){if(_!==Fo&&_!==Uu)throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat");const b={width:e,height:t,depth:x};super(b,s,u,f,h,m,_,n,g),this.isDepthTexture=!0,this.flipY=!1,this.generateMipmaps=!1,this.compareFunction=null}copy(e){return super.copy(e),this.source=new Iu(Object.assign({},e.image)),this.compareFunction=e.compareFunction,this}toJSON(e){const t=super.toJSON(e);return this.compareFunction!==null&&(t.compareFunction=this.compareFunction),t}}class tT extends ed{constructor(e,t=vr,n=zo,s,u,f=Bi,h=Bi,m,g=Fo){const _={width:e,height:e,depth:1},x=[_,_,_,_,_,_];super(e,e,t,n,s,u,f,h,m,g),this.image=x,this.isCubeDepthTexture=!0,this.isCubeTexture=!0}get images(){return this.image}set images(e){this.image=e}}class Pb extends wi{constructor(e=null){super(),this.sourceTexture=e,this.isExternalTexture=!0}copy(e){return super.copy(e),this.sourceTexture=e.sourceTexture,this}}class Py extends Kt{constructor(e=1,t=1,n=4,s=8,u=1){super(),this.type="CapsuleGeometry",this.parameters={radius:e,height:t,capSegments:n,radialSegments:s,heightSegments:u},t=Math.max(0,t),n=Math.max(1,Math.floor(n)),s=Math.max(3,Math.floor(s)),u=Math.max(1,Math.floor(u));const f=[],h=[],m=[],g=[],_=t/2,x=Math.PI/2*e,b=t,M=2*x+b,A=n*2+u,R=s+1,w=new j,E=new j;for(let N=0;N<=A;N++){let D=0,U=0,B=0,z=0;if(N<=n){const I=N/n,P=I*Math.PI/2;U=-_-e*Math.cos(P),B=e*Math.sin(P),z=-e*Math.cos(P),D=I*x}else if(N<=n+u){const I=(N-n)/u;U=-_+I*t,B=e,z=0,D=x+I*b}else{const I=(N-n-u)/n,P=I*Math.PI/2;U=_+e*Math.sin(P),B=e*Math.cos(P),z=e*Math.sin(P),D=x+b+I*x}const H=Math.max(0,Math.min(1,D/M));let W=0;N===0?W=.5/s:N===A&&(W=-.5/s);for(let I=0;I<=s;I++){const P=I/s,Z=P*Math.PI*2,se=Math.sin(Z),te=Math.cos(Z);E.x=-B*te,E.y=U,E.z=B*se,h.push(E.x,E.y,E.z),w.set(-B*te,z,B*se),w.normalize(),m.push(w.x,w.y,w.z),g.push(P+W,H)}if(N>0){const I=(N-1)*R;for(let P=0;P0&&D(!0),t>0&&D(!1)),this.setIndex(_),this.setAttribute("position",new bt(x,3)),this.setAttribute("normal",new bt(b,3)),this.setAttribute("uv",new bt(M,2));function N(){const U=new j,B=new j;let z=0;const H=(t-e)/n;for(let W=0;W<=u;W++){const I=[],P=W/u,Z=P*(t-e)+e;for(let se=0;se<=s;se++){const te=se/s,fe=te*m+h,pe=Math.sin(fe),Y=Math.cos(fe);B.x=Z*pe,B.y=-P*n+w,B.z=Z*Y,x.push(B.x,B.y,B.z),U.set(pe,H,Y).normalize(),b.push(U.x,U.y,U.z),M.push(te,1-P),I.push(A++)}R.push(I)}for(let W=0;W0||I!==0)&&(_.push(P,Z,te),z+=3),(t>0||I!==u-1)&&(_.push(Z,se,te),z+=3)}g.addGroup(E,z,0),E+=z}function D(U){const B=A,z=new ze,H=new j;let W=0;const I=U===!0?e:t,P=U===!0?1:-1;for(let se=1;se<=s;se++)x.push(0,w*P,0),b.push(0,P,0),M.push(.5,.5),A++;const Z=A;for(let se=0;se<=s;se++){const fe=se/s*m+h,pe=Math.cos(fe),Y=Math.sin(fe);H.x=I*Y,H.y=w*P,H.z=I*pe,x.push(H.x,H.y,H.z),b.push(0,P,0),z.x=pe*.5+.5,z.y=Y*.5*P+.5,M.push(z.x,z.y),A++}for(let se=0;se.9&&H<.1&&(D<.2&&(f[N+0]+=1),U<.2&&(f[N+2]+=1),B<.2&&(f[N+4]+=1))}}function b(N){u.push(N.x,N.y,N.z)}function M(N,D){const U=N*3;D.x=e[U+0],D.y=e[U+1],D.z=e[U+2]}function A(){const N=new j,D=new j,U=new j,B=new j,z=new ze,H=new ze,W=new ze;for(let I=0,P=0;I0)m=s-1;else{m=s;break}if(s=m,n[s]===f)return s/(u-1);const _=n[s],b=n[s+1]-_,M=(f-_)/b;return(s+M)/(u-1)}getTangent(e,t){let s=e-1e-4,u=e+1e-4;s<0&&(s=0),u>1&&(u=1);const f=this.getPoint(s),h=this.getPoint(u),m=t||(f.isVector2?new ze:new j);return m.copy(h).sub(f).normalize(),m}getTangentAt(e,t){const n=this.getUtoTmapping(e);return this.getTangent(n,t)}computeFrenetFrames(e,t=!1){const n=new j,s=[],u=[],f=[],h=new j,m=new Xt;for(let M=0;M<=e;M++){const A=M/e;s[M]=this.getTangentAt(A,new j)}u[0]=new j,f[0]=new j;let g=Number.MAX_VALUE;const _=Math.abs(s[0].x),x=Math.abs(s[0].y),b=Math.abs(s[0].z);_<=g&&(g=_,n.set(1,0,0)),x<=g&&(g=x,n.set(0,1,0)),b<=g&&n.set(0,0,1),h.crossVectors(s[0],n).normalize(),u[0].crossVectors(s[0],h),f[0].crossVectors(s[0],u[0]);for(let M=1;M<=e;M++){if(u[M]=u[M-1].clone(),f[M]=f[M-1].clone(),h.crossVectors(s[M-1],s[M]),h.length()>Number.EPSILON){h.normalize();const A=Math.acos(Ht(s[M-1].dot(s[M]),-1,1));u[M].applyMatrix4(m.makeRotationAxis(h,A))}f[M].crossVectors(s[M],u[M])}if(t===!0){let M=Math.acos(Ht(u[0].dot(u[e]),-1,1));M/=e,s[0].dot(h.crossVectors(u[0],u[e]))>0&&(M=-M);for(let A=1;A<=e;A++)u[A].applyMatrix4(m.makeRotationAxis(s[A],M*A)),f[A].crossVectors(s[A],u[A])}return{tangents:s,normals:u,binormals:f}}clone(){return new this.constructor().copy(this)}copy(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}toJSON(){const e={metadata:{version:4.7,type:"Curve",generator:"Curve.toJSON"}};return e.arcLengthDivisions=this.arcLengthDivisions,e.type=this.type,e}fromJSON(e){return this.arcLengthDivisions=e.arcLengthDivisions,this}}class Fy extends Zr{constructor(e=0,t=0,n=1,s=1,u=0,f=Math.PI*2,h=!1,m=0){super(),this.isEllipseCurve=!0,this.type="EllipseCurve",this.aX=e,this.aY=t,this.xRadius=n,this.yRadius=s,this.aStartAngle=u,this.aEndAngle=f,this.aClockwise=h,this.aRotation=m}getPoint(e,t=new ze){const n=t,s=Math.PI*2;let u=this.aEndAngle-this.aStartAngle;const f=Math.abs(u)s;)u-=s;u0?0:(Math.floor(Math.abs(h)/u)+1)*u:m===0&&h===u-1&&(h=u-2,m=1);let g,_;this.closed||h>0?g=s[(h-1)%u]:(K0.subVectors(s[0],s[1]).add(s[0]),g=K0);const x=s[h%u],b=s[(h+1)%u];if(this.closed||h+2s.length-2?s.length-1:f+1],x=s[f>s.length-3?s.length-1:f+2];return n.set(VM(h,m.x,g.x,_.x,x.x),VM(h,m.y,g.y,_.y,x.y)),n}copy(e){super.copy(e),this.points=[];for(let t=0,n=e.points.length;t=n){const f=s[u]-n,h=this.curves[u],m=h.getLength(),g=m===0?0:1-f/m;return h.getPointAt(g,t)}u++}return null}getLength(){const e=this.getCurveLengths();return e[e.length-1]}updateArcLengths(){this.needsUpdate=!0,this.cacheLengths=null,this.getCurveLengths()}getCurveLengths(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;const e=[];let t=0;for(let n=0,s=this.curves.length;n1&&!t[t.length-1].equals(t[0])&&t.push(t[0]),t}copy(e){super.copy(e),this.curves=[];for(let t=0,n=e.curves.length;t0){const x=g.getPoint(0);x.equals(this.currentPoint)||this.lineTo(x.x,x.y)}this.curves.push(g);const _=g.getPoint(1);return this.currentPoint.copy(_),this}copy(e){return super.copy(e),this.currentPoint.copy(e.currentPoint),this}toJSON(){const e=super.toJSON();return e.currentPoint=this.currentPoint.toArray(),e}fromJSON(e){return super.fromJSON(e),this.currentPoint.fromArray(e.currentPoint),this}}class $c extends ly{constructor(e){super(e),this.uuid=Vs(),this.type="Shape",this.holes=[]}getPointsHoles(e){const t=[];for(let n=0,s=this.holes.length;n80*t){h=r[0],m=r[1];let _=h,x=m;for(let b=t;b_&&(_=M),A>x&&(x=A)}g=Math.max(_-h,x-m),g=g!==0?32767/g:0}return vm(u,f,t,h,m,g,0),f}function lT(r,e,t,n,s){let u;if(s===TN(r,e,t,n)>0)for(let f=e;f=e;f-=n)u=HM(f/n|0,r[f],r[f+1],u);return u&&td(u,u.next)&&(_m(u),u=u.next),u}function af(r,e){if(!r)return r;e||(e=r);let t=r,n;do if(n=!1,!t.steiner&&(td(t,t.next)||_i(t.prev,t,t.next)===0)){if(_m(t),t=e=t.prev,t===t.next)break;n=!0}else t=t.next;while(n||t!==e);return e}function vm(r,e,t,n,s,u,f){if(!r)return;!f&&u&&_N(r,n,s,u);let h=r;for(;r.prev!==r.next;){const m=r.prev,g=r.next;if(u?fN(r,n,s,u):cN(r)){e.push(m.i,r.i,g.i),_m(r),r=g.next,h=g.next;continue}if(r=g,r===h){f?f===1?(r=hN(af(r),e),vm(r,e,t,n,s,u,2)):f===2&&dN(r,e,t,n,s,u):vm(af(r),e,t,n,s,u,1);break}}}function cN(r){const e=r.prev,t=r,n=r.next;if(_i(e,t,n)>=0)return!1;const s=e.x,u=t.x,f=n.x,h=e.y,m=t.y,g=n.y,_=Math.min(s,u,f),x=Math.min(h,m,g),b=Math.max(s,u,f),M=Math.max(h,m,g);let A=n.next;for(;A!==e;){if(A.x>=_&&A.x<=b&&A.y>=x&&A.y<=M&&Zp(s,h,u,m,f,g,A.x,A.y)&&_i(A.prev,A,A.next)>=0)return!1;A=A.next}return!0}function fN(r,e,t,n){const s=r.prev,u=r,f=r.next;if(_i(s,u,f)>=0)return!1;const h=s.x,m=u.x,g=f.x,_=s.y,x=u.y,b=f.y,M=Math.min(h,m,g),A=Math.min(_,x,b),R=Math.max(h,m,g),w=Math.max(_,x,b),E=Zx(M,A,e,t,n),N=Zx(R,w,e,t,n);let D=r.prevZ,U=r.nextZ;for(;D&&D.z>=E&&U&&U.z<=N;){if(D.x>=M&&D.x<=R&&D.y>=A&&D.y<=w&&D!==s&&D!==f&&Zp(h,_,m,x,g,b,D.x,D.y)&&_i(D.prev,D,D.next)>=0||(D=D.prevZ,U.x>=M&&U.x<=R&&U.y>=A&&U.y<=w&&U!==s&&U!==f&&Zp(h,_,m,x,g,b,U.x,U.y)&&_i(U.prev,U,U.next)>=0))return!1;U=U.nextZ}for(;D&&D.z>=E;){if(D.x>=M&&D.x<=R&&D.y>=A&&D.y<=w&&D!==s&&D!==f&&Zp(h,_,m,x,g,b,D.x,D.y)&&_i(D.prev,D,D.next)>=0)return!1;D=D.prevZ}for(;U&&U.z<=N;){if(U.x>=M&&U.x<=R&&U.y>=A&&U.y<=w&&U!==s&&U!==f&&Zp(h,_,m,x,g,b,U.x,U.y)&&_i(U.prev,U,U.next)>=0)return!1;U=U.nextZ}return!0}function hN(r,e){let t=r;do{const n=t.prev,s=t.next.next;!td(n,s)&&cT(n,t,t.next,s)&&ym(n,s)&&ym(s,n)&&(e.push(n.i,t.i,s.i),_m(t),_m(t.next),t=r=s),t=t.next}while(t!==r);return af(t)}function dN(r,e,t,n,s,u){let f=r;do{let h=f.next.next;for(;h!==f.prev;){if(f.i!==h.i&&SN(f,h)){let m=fT(f,h);f=af(f,f.next),m=af(m,m.next),vm(f,e,t,n,s,u,0),vm(m,e,t,n,s,u,0);return}h=h.next}f=f.next}while(f!==r)}function pN(r,e,t,n){const s=[];for(let u=0,f=e.length;u=t.next.y&&t.next.y!==t.y){const x=t.x+(s-t.y)*(t.next.x-t.x)/(t.next.y-t.y);if(x<=n&&x>u&&(u=x,f=t.x=t.x&&t.x>=m&&n!==t.x&&uT(sf.x||t.x===f.x&&yN(f,t)))&&(f=t,_=x)}t=t.next}while(t!==h);return f}function yN(r,e){return _i(r.prev,r,e.prev)<0&&_i(e.next,r,r.next)<0}function _N(r,e,t,n){let s=r;do s.z===0&&(s.z=Zx(s.x,s.y,e,t,n)),s.prevZ=s.prev,s.nextZ=s.next,s=s.next;while(s!==r);s.prevZ.nextZ=null,s.prevZ=null,xN(s)}function xN(r){let e,t=1;do{let n=r,s;r=null;let u=null;for(e=0;n;){e++;let f=n,h=0;for(let g=0;g0||m>0&&f;)h!==0&&(m===0||!f||n.z<=f.z)?(s=n,n=n.nextZ,h--):(s=f,f=f.nextZ,m--),u?u.nextZ=s:r=s,s.prevZ=u,u=s;n=f}u.nextZ=null,t*=2}while(e>1);return r}function Zx(r,e,t,n,s){return r=(r-t)*s|0,e=(e-n)*s|0,r=(r|r<<8)&16711935,r=(r|r<<4)&252645135,r=(r|r<<2)&858993459,r=(r|r<<1)&1431655765,e=(e|e<<8)&16711935,e=(e|e<<4)&252645135,e=(e|e<<2)&858993459,e=(e|e<<1)&1431655765,r|e<<1}function bN(r){let e=r,t=r;do(e.x=(r-f)*(u-h)&&(r-f)*(n-h)>=(t-f)*(e-h)&&(t-f)*(u-h)>=(s-f)*(n-h)}function Zp(r,e,t,n,s,u,f,h){return!(r===f&&e===h)&&uT(r,e,t,n,s,u,f,h)}function SN(r,e){return r.next.i!==e.i&&r.prev.i!==e.i&&!MN(r,e)&&(ym(r,e)&&ym(e,r)&&EN(r,e)&&(_i(r.prev,r,e.prev)||_i(r,e.prev,e))||td(r,e)&&_i(r.prev,r,r.next)>0&&_i(e.prev,e,e.next)>0)}function _i(r,e,t){return(e.y-r.y)*(t.x-e.x)-(e.x-r.x)*(t.y-e.y)}function td(r,e){return r.x===e.x&&r.y===e.y}function cT(r,e,t,n){const s=$0(_i(r,e,t)),u=$0(_i(r,e,n)),f=$0(_i(t,n,r)),h=$0(_i(t,n,e));return!!(s!==u&&f!==h||s===0&&J0(r,t,e)||u===0&&J0(r,n,e)||f===0&&J0(t,r,n)||h===0&&J0(t,e,n))}function J0(r,e,t){return e.x<=Math.max(r.x,t.x)&&e.x>=Math.min(r.x,t.x)&&e.y<=Math.max(r.y,t.y)&&e.y>=Math.min(r.y,t.y)}function $0(r){return r>0?1:r<0?-1:0}function MN(r,e){let t=r;do{if(t.i!==r.i&&t.next.i!==r.i&&t.i!==e.i&&t.next.i!==e.i&&cT(t,t.next,r,e))return!0;t=t.next}while(t!==r);return!1}function ym(r,e){return _i(r.prev,r,r.next)<0?_i(r,e,r.next)>=0&&_i(r,r.prev,e)>=0:_i(r,e,r.prev)<0||_i(r,r.next,e)<0}function EN(r,e){let t=r,n=!1;const s=(r.x+e.x)/2,u=(r.y+e.y)/2;do t.y>u!=t.next.y>u&&t.next.y!==t.y&&s<(t.next.x-t.x)*(u-t.y)/(t.next.y-t.y)+t.x&&(n=!n),t=t.next;while(t!==r);return n}function fT(r,e){const t=Qx(r.i,r.x,r.y),n=Qx(e.i,e.x,e.y),s=r.next,u=e.prev;return r.next=e,e.prev=r,t.next=s,s.prev=t,n.next=t,t.prev=n,u.next=n,n.prev=u,n}function HM(r,e,t,n){const s=Qx(r,e,t);return n?(s.next=n.next,s.prev=n,n.next.prev=s,n.next=s):(s.prev=s,s.next=s),s}function _m(r){r.next.prev=r.prev,r.prev.next=r.next,r.prevZ&&(r.prevZ.nextZ=r.nextZ),r.nextZ&&(r.nextZ.prevZ=r.prevZ)}function Qx(r,e,t){return{i:r,x:e,y:t,prev:null,next:null,z:0,prevZ:null,nextZ:null,steiner:!1}}function TN(r,e,t,n){let s=0;for(let u=e,f=t-n;u2&&r[e-1].equals(r[0])&&r.pop()}function XM(r,e){for(let t=0;tNumber.EPSILON){const Te=Math.sqrt(O),Ie=Math.sqrt(Qe*Qe+G*G),Ee=He.x-Tt/Te,dt=He.y+ot/Te,Ke=Oe.x-G/Ie,vt=Oe.y+Qe/Ie,Dt=((Ke-Ee)*G-(vt-dt)*Qe)/(ot*G-Tt*Qe);nt=Ee+ot*Dt-Le.x,Q=dt+Tt*Dt-Le.y;const Ve=nt*nt+Q*Q;if(Ve<=2)return new ze(nt,Q);Et=Math.sqrt(Ve/2)}else{let Te=!1;ot>Number.EPSILON?Qe>Number.EPSILON&&(Te=!0):ot<-Number.EPSILON?Qe<-Number.EPSILON&&(Te=!0):Math.sign(Tt)===Math.sign(G)&&(Te=!0),Te?(nt=-Tt,Q=ot,Et=Math.sqrt(O)):(nt=ot,Q=Tt,Et=Math.sqrt(O/2))}return new ze(nt/Et,Q/Et)}const be=[];for(let Le=0,He=pe.length,Oe=He-1,nt=Le+1;Le=0;Le--){const He=Le/w,Oe=M*Math.cos(He*Math.PI/2),nt=A*Math.sin(He*Math.PI/2)+R;for(let Q=0,Et=pe.length;Q=0;){const nt=Oe;let Q=Oe-1;Q<0&&(Q=Le.length-1);for(let Et=0,ot=_+w*2;Et0)&&M.push(D,U,z),(E!==n-1||m0!=e>0&&this.version++,this._anisotropy=e}get clearcoat(){return this._clearcoat}set clearcoat(e){this._clearcoat>0!=e>0&&this.version++,this._clearcoat=e}get iridescence(){return this._iridescence}set iridescence(e){this._iridescence>0!=e>0&&this.version++,this._iridescence=e}get dispersion(){return this._dispersion}set dispersion(e){this._dispersion>0!=e>0&&this.version++,this._dispersion=e}get sheen(){return this._sheen}set sheen(e){this._sheen>0!=e>0&&this.version++,this._sheen=e}get transmission(){return this._transmission}set transmission(e){this._transmission>0!=e>0&&this.version++,this._transmission=e}copy(e){return super.copy(e),this.defines={STANDARD:"",PHYSICAL:""},this.anisotropy=e.anisotropy,this.anisotropyRotation=e.anisotropyRotation,this.anisotropyMap=e.anisotropyMap,this.clearcoat=e.clearcoat,this.clearcoatMap=e.clearcoatMap,this.clearcoatRoughness=e.clearcoatRoughness,this.clearcoatRoughnessMap=e.clearcoatRoughnessMap,this.clearcoatNormalMap=e.clearcoatNormalMap,this.clearcoatNormalScale.copy(e.clearcoatNormalScale),this.dispersion=e.dispersion,this.ior=e.ior,this.iridescence=e.iridescence,this.iridescenceMap=e.iridescenceMap,this.iridescenceIOR=e.iridescenceIOR,this.iridescenceThicknessRange=[...e.iridescenceThicknessRange],this.iridescenceThicknessMap=e.iridescenceThicknessMap,this.sheen=e.sheen,this.sheenColor.copy(e.sheenColor),this.sheenColorMap=e.sheenColorMap,this.sheenRoughness=e.sheenRoughness,this.sheenRoughnessMap=e.sheenRoughnessMap,this.transmission=e.transmission,this.transmissionMap=e.transmissionMap,this.thickness=e.thickness,this.thicknessMap=e.thicknessMap,this.attenuationDistance=e.attenuationDistance,this.attenuationColor.copy(e.attenuationColor),this.specularIntensity=e.specularIntensity,this.specularIntensityMap=e.specularIntensityMap,this.specularColor.copy(e.specularColor),this.specularColorMap=e.specularColorMap,this}}class mT extends Ba{constructor(e){super(),this.isMeshPhongMaterial=!0,this.type="MeshPhongMaterial",this.color=new yt(16777215),this.specular=new yt(1118481),this.shininess=30,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.specular.copy(e.specular),this.shininess=e.shininess,this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}}class gT extends Ba{constructor(e){super(),this.isMeshToonMaterial=!0,this.defines={TOON:""},this.type="MeshToonMaterial",this.color=new yt(16777215),this.map=null,this.gradientMap=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.gradientMap=e.gradientMap,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}class vT extends Ba{constructor(e){super(),this.isMeshNormalMaterial=!0,this.type="MeshNormalMaterial",this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.setValues(e)}copy(e){return super.copy(e),this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this}}class yT extends Ba{constructor(e){super(),this.isMeshLambertMaterial=!0,this.type="MeshLambertMaterial",this.color=new yt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new yt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new Gs,this.combine=Am,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.emissive.copy(e.emissive),this.emissiveMap=e.emissiveMap,this.emissiveIntensity=e.emissiveIntensity,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.envMapRotation.copy(e.envMapRotation),this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.flatShading=e.flatShading,this.fog=e.fog,this}}class Wb extends Ba{constructor(e){super(),this.isMeshDepthMaterial=!0,this.type="MeshDepthMaterial",this.depthPacking=NE,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.setValues(e)}copy(e){return super.copy(e),this.depthPacking=e.depthPacking,this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this}}class qb extends Ba{constructor(e){super(),this.isMeshDistanceMaterial=!0,this.type="MeshDistanceMaterial",this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.setValues(e)}copy(e){return super.copy(e),this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this}}class _T extends Ba{constructor(e){super(),this.isMeshMatcapMaterial=!0,this.defines={MATCAP:""},this.type="MeshMatcapMaterial",this.color=new yt(16777215),this.matcap=null,this.map=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=ku,this.normalScale=new ze(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.defines={MATCAP:""},this.color.copy(e.color),this.matcap=e.matcap,this.map=e.map,this.bumpMap=e.bumpMap,this.bumpScale=e.bumpScale,this.normalMap=e.normalMap,this.normalMapType=e.normalMapType,this.normalScale.copy(e.normalScale),this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.alphaMap=e.alphaMap,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.flatShading=e.flatShading,this.fog=e.fog,this}}class xT extends ss{constructor(e){super(),this.isLineDashedMaterial=!0,this.type="LineDashedMaterial",this.scale=1,this.dashSize=3,this.gapSize=1,this.setValues(e)}copy(e){return super.copy(e),this.scale=e.scale,this.dashSize=e.dashSize,this.gapSize=e.gapSize,this}}function Qc(r,e){return!r||r.constructor===e?r:typeof e.BYTES_PER_ELEMENT=="number"?new e(r):Array.prototype.slice.call(r)}function bT(r){function e(s,u){return r[s]-r[u]}const t=r.length,n=new Array(t);for(let s=0;s!==t;++s)n[s]=s;return n.sort(e),n}function Kx(r,e,t){const n=r.length,s=new r.constructor(n);for(let u=0,f=0;f!==n;++u){const h=t[u]*e;for(let m=0;m!==e;++m)s[f++]=r[h+m]}return s}function jb(r,e,t,n){let s=1,u=r[0];for(;u!==void 0&&u[n]===void 0;)u=r[s++];if(u===void 0)return;let f=u[n];if(f!==void 0)if(Array.isArray(f))do f=u[n],f!==void 0&&(e.push(u.time),t.push(...f)),u=r[s++];while(u!==void 0);else if(f.toArray!==void 0)do f=u[n],f!==void 0&&(e.push(u.time),f.toArray(t,t.length)),u=r[s++];while(u!==void 0);else do f=u[n],f!==void 0&&(e.push(u.time),t.push(f)),u=r[s++];while(u!==void 0)}function NN(r,e,t,n,s=30){const u=r.clone();u.name=e;const f=[];for(let m=0;m=n)){x.push(g.times[M]);for(let R=0;R<_;++R)b.push(g.values[M*_+R])}}x.length!==0&&(g.times=Qc(x,g.times.constructor),g.values=Qc(b,g.values.constructor),f.push(g))}u.tracks=f;let h=1/0;for(let m=0;mu.tracks[m].times[0]&&(h=u.tracks[m].times[0]);for(let m=0;m=h.times[A]){const E=A*x+_,N=E+x-_;R=h.values.slice(E,N)}else{const E=h.createInterpolant(),N=_,D=x-_;E.evaluate(u),R=E.resultBuffer.slice(N,D)}m==="quaternion"&&new Pa().fromArray(R).normalize().conjugate().toArray(R);const w=g.times.length;for(let E=0;E=u)){const h=t[1];e=u)break t}f=n,n=0;break n}break e}for(;n>>1;et;)--f;if(++f,u!==0||f!==s){u>=f&&(f=Math.max(f,1),u=f-1);const h=this.getValueSize();this.times=n.slice(u,f),this.values=this.values.slice(u*h,f*h)}return this}validate(){let e=!0;const t=this.getValueSize();t-Math.floor(t)!==0&&(Rt("KeyframeTrack: Invalid value size in track.",this),e=!1);const n=this.times,s=this.values,u=n.length;u===0&&(Rt("KeyframeTrack: Track is empty.",this),e=!1);let f=null;for(let h=0;h!==u;h++){const m=n[h];if(typeof m=="number"&&isNaN(m)){Rt("KeyframeTrack: Time is not a valid number.",this,h,m),e=!1;break}if(f!==null&&f>m){Rt("KeyframeTrack: Out of order keys.",this,h,m,f),e=!1;break}f=m}if(s!==void 0&&FE(s))for(let h=0,m=s.length;h!==m;++h){const g=s[h];if(isNaN(g)){Rt("KeyframeTrack: Value is not a valid number.",this,h,g),e=!1;break}}return e}optimize(){const e=this.times.slice(),t=this.values.slice(),n=this.getValueSize(),s=this.getInterpolation()===dv,u=e.length-1;let f=1;for(let h=1;h0){e[f]=e[u];for(let h=u*n,m=f*n,g=0;g!==n;++g)t[m+g]=t[h+g];++f}return f!==e.length?(this.times=e.slice(0,f),this.values=t.slice(0,f*n)):(this.times=e,this.values=t),this}clone(){const e=this.times.slice(),t=this.values.slice(),n=this.constructor,s=new n(this.name,e,t);return s.createInterpolant=this.createInterpolant,s}}_r.prototype.ValueTypeName="";_r.prototype.TimeBufferType=Float32Array;_r.prototype.ValueBufferType=Float32Array;_r.prototype.DefaultInterpolation=ay;class uf extends _r{constructor(e,t,n){super(e,t,n)}}uf.prototype.ValueTypeName="bool";uf.prototype.ValueBufferType=Array;uf.prototype.DefaultInterpolation=fm;uf.prototype.InterpolantFactoryMethodLinear=void 0;uf.prototype.InterpolantFactoryMethodSmooth=void 0;class Zb extends _r{constructor(e,t,n,s){super(e,t,n,s)}}Zb.prototype.ValueTypeName="color";class xm extends _r{constructor(e,t,n,s){super(e,t,n,s)}}xm.prototype.ValueTypeName="number";class ET extends Um{constructor(e,t,n,s){super(e,t,n,s)}interpolate_(e,t,n,s){const u=this.resultBuffer,f=this.sampleValues,h=this.valueSize,m=(n-t)/(s-t);let g=e*h;for(let _=g+h;g!==_;g+=4)Pa.slerpFlat(u,0,f,g-h,f,g,m);return u}}class Im extends _r{constructor(e,t,n,s){super(e,t,n,s)}InterpolantFactoryMethodLinear(e){return new ET(this.times,this.values,this.getValueSize(),e)}}Im.prototype.ValueTypeName="quaternion";Im.prototype.InterpolantFactoryMethodSmooth=void 0;class cf extends _r{constructor(e,t,n){super(e,t,n)}}cf.prototype.ValueTypeName="string";cf.prototype.ValueBufferType=Array;cf.prototype.DefaultInterpolation=fm;cf.prototype.InterpolantFactoryMethodLinear=void 0;cf.prototype.InterpolantFactoryMethodSmooth=void 0;class bm extends _r{constructor(e,t,n,s){super(e,t,n,s)}}bm.prototype.ValueTypeName="vector";class Sm{constructor(e="",t=-1,n=[],s=Ey){this.name=e,this.tracks=n,this.duration=t,this.blendMode=s,this.uuid=Vs(),this.userData={},this.duration<0&&this.resetDuration()}static parse(e){const t=[],n=e.tracks,s=1/(e.fps||1);for(let f=0,h=n.length;f!==h;++f)t.push(IN(n[f]).scale(s));const u=new this(e.name,e.duration,t,e.blendMode);return u.uuid=e.uuid,u.userData=JSON.parse(e.userData||"{}"),u}static toJSON(e){const t=[],n=e.tracks,s={name:e.name,duration:e.duration,tracks:t,uuid:e.uuid,blendMode:e.blendMode,userData:JSON.stringify(e.userData)};for(let u=0,f=n.length;u!==f;++u)t.push(_r.toJSON(n[u]));return s}static CreateFromMorphTargetSequence(e,t,n,s){const u=t.length,f=[];for(let h=0;h1){const x=_[1];let b=s[x];b||(s[x]=b=[]),b.push(g)}}const f=[];for(const h in s)f.push(this.CreateFromMorphTargetSequence(h,s[h],t,n));return f}static parseAnimation(e,t){if(ft("AnimationClip: parseAnimation() is deprecated and will be removed with r185"),!e)return Rt("AnimationClip: No animation in JSONLoader data."),null;const n=function(x,b,M,A,R){if(M.length!==0){const w=[],E=[];jb(M,w,E,A),w.length!==0&&R.push(new x(b,w,E))}},s=[],u=e.name||"default",f=e.fps||30,h=e.blendMode;let m=e.length||-1;const g=e.hierarchy||[];for(let x=0;x{t&&t(u),this.manager.itemEnd(e)},0),u;if(Al[e]!==void 0){Al[e].push({onLoad:t,onProgress:n,onError:s});return}Al[e]=[],Al[e].push({onLoad:t,onProgress:n,onError:s});const f=new Request(e,{headers:new Headers(this.requestHeader),credentials:this.withCredentials?"include":"same-origin",signal:typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal}),h=this.mimeType,m=this.responseType;fetch(f).then(g=>{if(g.status===200||g.status===0){if(g.status===0&&ft("FileLoader: HTTP Status 0 received."),typeof ReadableStream>"u"||g.body===void 0||g.body.getReader===void 0)return g;const _=Al[e],x=g.body.getReader(),b=g.headers.get("X-File-Size")||g.headers.get("Content-Length"),M=b?parseInt(b):0,A=M!==0;let R=0;const w=new ReadableStream({start(E){N();function N(){x.read().then(({done:D,value:U})=>{if(D)E.close();else{R+=U.byteLength;const B=new ProgressEvent("progress",{lengthComputable:A,loaded:R,total:M});for(let z=0,H=_.length;z{E.error(D)})}}});return new Response(w)}else throw new ON(`fetch for "${g.url}" responded with ${g.status}: ${g.statusText}`,g)}).then(g=>{switch(m){case"arraybuffer":return g.arrayBuffer();case"blob":return g.blob();case"document":return g.text().then(_=>new DOMParser().parseFromString(_,h));case"json":return g.json();default:if(h==="")return g.text();{const x=/charset="?([^;"\s]*)"?/i.exec(h),b=x&&x[1]?x[1].toLowerCase():void 0,M=new TextDecoder(b);return g.arrayBuffer().then(A=>M.decode(A))}}}).then(g=>{Oo.add(`file:${e}`,g);const _=Al[e];delete Al[e];for(let x=0,b=_.length;x{const _=Al[e];if(_===void 0)throw this.manager.itemError(e),g;delete Al[e];for(let x=0,b=_.length;x{this.manager.itemEnd(e)}),this.manager.itemStart(e)}setResponseType(e){return this.responseType=e,this}setMimeType(e){return this.mimeType=e,this}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}class PN extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(this.manager);f.setPath(this.path),f.setRequestHeader(this.requestHeader),f.setWithCredentials(this.withCredentials),f.load(e,function(h){try{t(u.parse(JSON.parse(h)))}catch(m){s?s(m):Rt(m),u.manager.itemError(e)}},n,s)}parse(e){const t=[];for(let n=0;n0:s.vertexColors=e.vertexColors),e.uniforms!==void 0)for(const u in e.uniforms){const f=e.uniforms[u];switch(s.uniforms[u]={},f.type){case"t":s.uniforms[u].value=n(f.value);break;case"c":s.uniforms[u].value=new yt().setHex(f.value);break;case"v2":s.uniforms[u].value=new ze().fromArray(f.value);break;case"v3":s.uniforms[u].value=new j().fromArray(f.value);break;case"v4":s.uniforms[u].value=new jn().fromArray(f.value);break;case"m3":s.uniforms[u].value=new en().fromArray(f.value);break;case"m4":s.uniforms[u].value=new Xt().fromArray(f.value);break;default:s.uniforms[u].value=f.value}}if(e.defines!==void 0&&(s.defines=e.defines),e.vertexShader!==void 0&&(s.vertexShader=e.vertexShader),e.fragmentShader!==void 0&&(s.fragmentShader=e.fragmentShader),e.glslVersion!==void 0&&(s.glslVersion=e.glslVersion),e.extensions!==void 0)for(const u in e.extensions)s.extensions[u]=e.extensions[u];if(e.lights!==void 0&&(s.lights=e.lights),e.clipping!==void 0&&(s.clipping=e.clipping),e.size!==void 0&&(s.size=e.size),e.sizeAttenuation!==void 0&&(s.sizeAttenuation=e.sizeAttenuation),e.map!==void 0&&(s.map=n(e.map)),e.matcap!==void 0&&(s.matcap=n(e.matcap)),e.alphaMap!==void 0&&(s.alphaMap=n(e.alphaMap)),e.bumpMap!==void 0&&(s.bumpMap=n(e.bumpMap)),e.bumpScale!==void 0&&(s.bumpScale=e.bumpScale),e.normalMap!==void 0&&(s.normalMap=n(e.normalMap)),e.normalMapType!==void 0&&(s.normalMapType=e.normalMapType),e.normalScale!==void 0){let u=e.normalScale;Array.isArray(u)===!1&&(u=[u,u]),s.normalScale=new ze().fromArray(u)}return e.displacementMap!==void 0&&(s.displacementMap=n(e.displacementMap)),e.displacementScale!==void 0&&(s.displacementScale=e.displacementScale),e.displacementBias!==void 0&&(s.displacementBias=e.displacementBias),e.roughnessMap!==void 0&&(s.roughnessMap=n(e.roughnessMap)),e.metalnessMap!==void 0&&(s.metalnessMap=n(e.metalnessMap)),e.emissiveMap!==void 0&&(s.emissiveMap=n(e.emissiveMap)),e.emissiveIntensity!==void 0&&(s.emissiveIntensity=e.emissiveIntensity),e.specularMap!==void 0&&(s.specularMap=n(e.specularMap)),e.specularIntensityMap!==void 0&&(s.specularIntensityMap=n(e.specularIntensityMap)),e.specularColorMap!==void 0&&(s.specularColorMap=n(e.specularColorMap)),e.envMap!==void 0&&(s.envMap=n(e.envMap)),e.envMapRotation!==void 0&&s.envMapRotation.fromArray(e.envMapRotation),e.envMapIntensity!==void 0&&(s.envMapIntensity=e.envMapIntensity),e.reflectivity!==void 0&&(s.reflectivity=e.reflectivity),e.refractionRatio!==void 0&&(s.refractionRatio=e.refractionRatio),e.lightMap!==void 0&&(s.lightMap=n(e.lightMap)),e.lightMapIntensity!==void 0&&(s.lightMapIntensity=e.lightMapIntensity),e.aoMap!==void 0&&(s.aoMap=n(e.aoMap)),e.aoMapIntensity!==void 0&&(s.aoMapIntensity=e.aoMapIntensity),e.gradientMap!==void 0&&(s.gradientMap=n(e.gradientMap)),e.clearcoatMap!==void 0&&(s.clearcoatMap=n(e.clearcoatMap)),e.clearcoatRoughnessMap!==void 0&&(s.clearcoatRoughnessMap=n(e.clearcoatRoughnessMap)),e.clearcoatNormalMap!==void 0&&(s.clearcoatNormalMap=n(e.clearcoatNormalMap)),e.clearcoatNormalScale!==void 0&&(s.clearcoatNormalScale=new ze().fromArray(e.clearcoatNormalScale)),e.iridescenceMap!==void 0&&(s.iridescenceMap=n(e.iridescenceMap)),e.iridescenceThicknessMap!==void 0&&(s.iridescenceThicknessMap=n(e.iridescenceThicknessMap)),e.transmissionMap!==void 0&&(s.transmissionMap=n(e.transmissionMap)),e.thicknessMap!==void 0&&(s.thicknessMap=n(e.thicknessMap)),e.anisotropyMap!==void 0&&(s.anisotropyMap=n(e.anisotropyMap)),e.sheenColorMap!==void 0&&(s.sheenColorMap=n(e.sheenColorMap)),e.sheenRoughnessMap!==void 0&&(s.sheenRoughnessMap=n(e.sheenRoughnessMap)),s}setTextures(e){return this.textures=e,this}createMaterialFromType(e){return Zy.createMaterialFromType(e)}static createMaterialFromType(e){const t={ShadowMaterial:dT,SpriteMaterial:Ub,RawShaderMaterial:Gb,ShaderMaterial:yr,PointsMaterial:Ob,MeshPhysicalMaterial:pT,MeshStandardMaterial:Xb,MeshPhongMaterial:mT,MeshToonMaterial:gT,MeshNormalMaterial:vT,MeshLambertMaterial:yT,MeshDepthMaterial:Wb,MeshDistanceMaterial:qb,MeshBasicMaterial:Vu,MeshMatcapMaterial:_T,LineDashedMaterial:xT,LineBasicMaterial:ss,Material:Ba};return new t[e]}}class Jx{static extractUrlBase(e){const t=e.lastIndexOf("/");return t===-1?"./":e.slice(0,t+1)}static resolveURL(e,t){return typeof e!="string"||e===""?"":(/^https?:\/\//i.test(t)&&/^\//.test(e)&&(t=t.replace(/(^https?:\/\/[^\/]+).*/i,"$1")),/^(https?:)?\/\//i.test(e)||/^data:.*,.*$/i.test(e)||/^blob:.*$/i.test(e)?e:t+e)}}class UT extends Kt{constructor(){super(),this.isInstancedBufferGeometry=!0,this.type="InstancedBufferGeometry",this.instanceCount=1/0}copy(e){return super.copy(e),this.instanceCount=e.instanceCount,this}toJSON(){const e=super.toJSON();return e.instanceCount=this.instanceCount,e.isInstancedBufferGeometry=!0,e}}class IT extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(u.manager);f.setPath(u.path),f.setRequestHeader(u.requestHeader),f.setWithCredentials(u.withCredentials),f.load(e,function(h){try{t(u.parse(JSON.parse(h)))}catch(m){s?s(m):Rt(m),u.manager.itemError(e)}},n,s)}parse(e){const t={},n={};function s(M,A){if(t[A]!==void 0)return t[A];const w=M.interleavedBuffers[A],E=u(M,w.buffer),N=Hh(w.type,E),D=new Ly(N,w.stride);return D.uuid=w.uuid,t[A]=D,D}function u(M,A){if(n[A]!==void 0)return n[A];const w=M.arrayBuffers[A],E=new Uint32Array(w).buffer;return n[A]=E,E}const f=e.isInstancedBufferGeometry?new UT:new Kt,h=e.data.index;if(h!==void 0){const M=Hh(h.type,h.array);f.setIndex(new Xn(M,1))}const m=e.data.attributes;for(const M in m){const A=m[M];let R;if(A.isInterleavedBufferAttribute){const w=s(e.data,A.data);R=new nf(w,A.itemSize,A.offset,A.normalized)}else{const w=Hh(A.type,A.array),E=A.isInstancedBufferAttribute?$h:Xn;R=new E(w,A.itemSize,A.normalized)}A.name!==void 0&&(R.name=A.name),A.usage!==void 0&&R.setUsage(A.usage),f.setAttribute(M,R)}const g=e.data.morphAttributes;if(g)for(const M in g){const A=g[M],R=[];for(let w=0,E=A.length;w0){const m=new Qb(t);u=new Mm(m),u.setCrossOrigin(this.crossOrigin);for(let g=0,_=e.length;g<_;g++){const x=e[g],b=x.url;if(Array.isArray(b)){const M=[];for(let A=0,R=b.length;A0){s=new Mm(this.manager),s.setCrossOrigin(this.crossOrigin);for(let f=0,h=e.length;f{let E=null,N=null;return w.boundingBox!==void 0&&(E=new za().fromJSON(w.boundingBox)),w.boundingSphere!==void 0&&(N=new _a().fromJSON(w.boundingSphere)),{...w,boundingBox:E,boundingSphere:N}}),f._instanceInfo=e.instanceInfo,f._availableInstanceIds=e._availableInstanceIds,f._availableGeometryIds=e._availableGeometryIds,f._nextIndexStart=e.nextIndexStart,f._nextVertexStart=e.nextVertexStart,f._geometryCount=e.geometryCount,f._maxInstanceCount=e.maxInstanceCount,f._maxVertexCount=e.maxVertexCount,f._maxIndexCount=e.maxIndexCount,f._geometryInitialized=e.geometryInitialized,f._matricesTexture=g(e.matricesTexture.uuid),f._indirectTexture=g(e.indirectTexture.uuid),e.colorsTexture!==void 0&&(f._colorsTexture=g(e.colorsTexture.uuid)),e.boundingSphere!==void 0&&(f.boundingSphere=new _a().fromJSON(e.boundingSphere)),e.boundingBox!==void 0&&(f.boundingBox=new za().fromJSON(e.boundingBox));break;case"LOD":f=new YE;break;case"Line":f=new Fu(h(e.geometry),m(e.material));break;case"LineLoop":f=new JE(h(e.geometry),m(e.material));break;case"LineSegments":f=new Vo(h(e.geometry),m(e.material));break;case"PointCloud":case"Points":f=new $E(h(e.geometry),m(e.material));break;case"Sprite":f=new jE(m(e.material));break;case"Group":f=new Gh;break;case"Bone":f=new Ib;break;default:f=new Cn}if(f.uuid=e.uuid,e.name!==void 0&&(f.name=e.name),e.matrix!==void 0?(f.matrix.fromArray(e.matrix),e.matrixAutoUpdate!==void 0&&(f.matrixAutoUpdate=e.matrixAutoUpdate),f.matrixAutoUpdate&&f.matrix.decompose(f.position,f.quaternion,f.scale)):(e.position!==void 0&&f.position.fromArray(e.position),e.rotation!==void 0&&f.rotation.fromArray(e.rotation),e.quaternion!==void 0&&f.quaternion.fromArray(e.quaternion),e.scale!==void 0&&f.scale.fromArray(e.scale)),e.up!==void 0&&f.up.fromArray(e.up),e.castShadow!==void 0&&(f.castShadow=e.castShadow),e.receiveShadow!==void 0&&(f.receiveShadow=e.receiveShadow),e.shadow&&(e.shadow.intensity!==void 0&&(f.shadow.intensity=e.shadow.intensity),e.shadow.bias!==void 0&&(f.shadow.bias=e.shadow.bias),e.shadow.normalBias!==void 0&&(f.shadow.normalBias=e.shadow.normalBias),e.shadow.radius!==void 0&&(f.shadow.radius=e.shadow.radius),e.shadow.mapSize!==void 0&&f.shadow.mapSize.fromArray(e.shadow.mapSize),e.shadow.camera!==void 0&&(f.shadow.camera=this.parseObject(e.shadow.camera))),e.visible!==void 0&&(f.visible=e.visible),e.frustumCulled!==void 0&&(f.frustumCulled=e.frustumCulled),e.renderOrder!==void 0&&(f.renderOrder=e.renderOrder),e.userData!==void 0&&(f.userData=e.userData),e.layers!==void 0&&(f.layers.mask=e.layers),e.children!==void 0){const b=e.children;for(let M=0;M"u"&&ft("ImageBitmapLoader: createImageBitmap() not supported."),typeof fetch>"u"&&ft("ImageBitmapLoader: fetch() not supported."),this.options={premultiplyAlpha:"none"},this._abortController=new AbortController}setOptions(e){return this.options=e,this}load(e,t,n,s){e===void 0&&(e=""),this.path!==void 0&&(e=this.path+e),e=this.manager.resolveURL(e);const u=this,f=Oo.get(`image-bitmap:${e}`);if(f!==void 0){if(u.manager.itemStart(e),f.then){f.then(g=>{if(yx.has(f)===!0)s&&s(yx.get(f)),u.manager.itemError(e),u.manager.itemEnd(e);else return t&&t(g),u.manager.itemEnd(e),g});return}return setTimeout(function(){t&&t(f),u.manager.itemEnd(e)},0),f}const h={};h.credentials=this.crossOrigin==="anonymous"?"same-origin":"include",h.headers=this.requestHeader,h.signal=typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal;const m=fetch(e,h).then(function(g){return g.blob()}).then(function(g){return createImageBitmap(g,Object.assign(u.options,{colorSpaceConversion:"none"}))}).then(function(g){return Oo.add(`image-bitmap:${e}`,g),t&&t(g),u.manager.itemEnd(e),g}).catch(function(g){s&&s(g),yx.set(m,g),Oo.remove(`image-bitmap:${e}`),u.manager.itemError(e),u.manager.itemEnd(e)});Oo.add(`image-bitmap:${e}`,m),u.manager.itemStart(e)}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}let ev;class $b{static getContext(){return ev===void 0&&(ev=new(window.AudioContext||window.webkitAudioContext)),ev}static setContext(e){ev=e}}class jN extends Ns{constructor(e){super(e)}load(e,t,n,s){const u=this,f=new Ul(this.manager);f.setResponseType("arraybuffer"),f.setPath(this.path),f.setRequestHeader(this.requestHeader),f.setWithCredentials(this.withCredentials),f.load(e,function(m){try{const g=m.slice(0);$b.getContext().decodeAudioData(g,function(x){t(x)}).catch(h)}catch(g){h(g)}},n,s);function h(m){s?s(m):Rt(m),u.manager.itemError(e)}}}const KM=new Xt,JM=new Xt,Oc=new Xt;class YN{constructor(){this.type="StereoCamera",this.aspect=1,this.eyeSep=.064,this.cameraL=new zi,this.cameraL.layers.enable(1),this.cameraL.matrixAutoUpdate=!1,this.cameraR=new zi,this.cameraR.layers.enable(2),this.cameraR.matrixAutoUpdate=!1,this._cache={focus:null,fov:null,aspect:null,near:null,far:null,zoom:null,eyeSep:null}}update(e){const t=this._cache;if(t.focus!==e.focus||t.fov!==e.fov||t.aspect!==e.aspect*this.aspect||t.near!==e.near||t.far!==e.far||t.zoom!==e.zoom||t.eyeSep!==this.eyeSep){t.focus=e.focus,t.fov=e.fov,t.aspect=e.aspect*this.aspect,t.near=e.near,t.far=e.far,t.zoom=e.zoom,t.eyeSep=this.eyeSep,Oc.copy(e.projectionMatrix);const s=t.eyeSep/2,u=s*t.near/t.focus,f=t.near*Math.tan(Jc*t.fov*.5)/t.zoom;let h,m;JM.elements[12]=-s,KM.elements[12]=s,h=-f*t.aspect+u,m=f*t.aspect+u,Oc.elements[0]=2*t.near/(m-h),Oc.elements[8]=(m+h)/(m-h),this.cameraL.projectionMatrix.copy(Oc),h=-f*t.aspect-u,m=f*t.aspect-u,Oc.elements[0]=2*t.near/(m-h),Oc.elements[8]=(m+h)/(m-h),this.cameraR.projectionMatrix.copy(Oc)}this.cameraL.matrixWorld.copy(e.matrixWorld).multiply(JM),this.cameraR.matrixWorld.copy(e.matrixWorld).multiply(KM)}}class OT extends zi{constructor(e=[]){super(),this.isArrayCamera=!0,this.isMultiViewCamera=!1,this.cameras=e}}class eS{constructor(e=!0){this.autoStart=e,this.startTime=0,this.oldTime=0,this.elapsedTime=0,this.running=!1}start(){this.startTime=performance.now(),this.oldTime=this.startTime,this.elapsedTime=0,this.running=!0}stop(){this.getElapsedTime(),this.running=!1,this.autoStart=!1}getElapsedTime(){return this.getDelta(),this.elapsedTime}getDelta(){let e=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){const t=performance.now();e=(t-this.oldTime)/1e3,this.oldTime=t,this.elapsedTime+=e}return e}}const Pc=new j,_x=new Pa,ZN=new j,zc=new j,Bc=new j;class QN extends Cn{constructor(){super(),this.type="AudioListener",this.context=$b.getContext(),this.gain=this.context.createGain(),this.gain.connect(this.context.destination),this.filter=null,this.timeDelta=0,this._clock=new eS}getInput(){return this.gain}removeFilter(){return this.filter!==null&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null),this}getFilter(){return this.filter}setFilter(e){return this.filter!==null?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):this.gain.disconnect(this.context.destination),this.filter=e,this.gain.connect(this.filter),this.filter.connect(this.context.destination),this}getMasterVolume(){return this.gain.gain.value}setMasterVolume(e){return this.gain.gain.setTargetAtTime(e,this.context.currentTime,.01),this}updateMatrixWorld(e){super.updateMatrixWorld(e);const t=this.context.listener;if(this.timeDelta=this._clock.getDelta(),this.matrixWorld.decompose(Pc,_x,ZN),zc.set(0,0,-1).applyQuaternion(_x),Bc.set(0,1,0).applyQuaternion(_x),t.positionX){const n=this.context.currentTime+this.timeDelta;t.positionX.linearRampToValueAtTime(Pc.x,n),t.positionY.linearRampToValueAtTime(Pc.y,n),t.positionZ.linearRampToValueAtTime(Pc.z,n),t.forwardX.linearRampToValueAtTime(zc.x,n),t.forwardY.linearRampToValueAtTime(zc.y,n),t.forwardZ.linearRampToValueAtTime(zc.z,n),t.upX.linearRampToValueAtTime(Bc.x,n),t.upY.linearRampToValueAtTime(Bc.y,n),t.upZ.linearRampToValueAtTime(Bc.z,n)}else t.setPosition(Pc.x,Pc.y,Pc.z),t.setOrientation(zc.x,zc.y,zc.z,Bc.x,Bc.y,Bc.z)}}let PT=class extends Cn{constructor(e){super(),this.type="Audio",this.listener=e,this.context=e.context,this.gain=this.context.createGain(),this.gain.connect(e.getInput()),this.autoplay=!1,this.buffer=null,this.detune=0,this.loop=!1,this.loopStart=0,this.loopEnd=0,this.offset=0,this.duration=void 0,this.playbackRate=1,this.isPlaying=!1,this.hasPlaybackControl=!0,this.source=null,this.sourceType="empty",this._startedAt=0,this._progress=0,this._connected=!1,this.filters=[]}getOutput(){return this.gain}setNodeSource(e){return this.hasPlaybackControl=!1,this.sourceType="audioNode",this.source=e,this.connect(),this}setMediaElementSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaNode",this.source=this.context.createMediaElementSource(e),this.connect(),this}setMediaStreamSource(e){return this.hasPlaybackControl=!1,this.sourceType="mediaStreamNode",this.source=this.context.createMediaStreamSource(e),this.connect(),this}setBuffer(e){return this.buffer=e,this.sourceType="buffer",this.autoplay&&this.play(),this}play(e=0){if(this.isPlaying===!0){ft("Audio: Audio is already playing.");return}if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}this._startedAt=this.context.currentTime+e;const t=this.context.createBufferSource();return t.buffer=this.buffer,t.loop=this.loop,t.loopStart=this.loopStart,t.loopEnd=this.loopEnd,t.onended=this.onEnded.bind(this),t.start(this._startedAt,this._progress+this.offset,this.duration),this.isPlaying=!0,this.source=t,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()}pause(){if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}return this.isPlaying===!0&&(this._progress+=Math.max(this.context.currentTime-this._startedAt,0)*this.playbackRate,this.loop===!0&&(this._progress=this._progress%(this.duration||this.buffer.duration)),this.source.stop(),this.source.onended=null,this.isPlaying=!1),this}stop(e=0){if(this.hasPlaybackControl===!1){ft("Audio: this Audio has no playback control.");return}return this._progress=0,this.source!==null&&(this.source.stop(this.context.currentTime+e),this.source.onended=null),this.isPlaying=!1,this}connect(){if(this.filters.length>0){this.source.connect(this.filters[0]);for(let e=1,t=this.filters.length;e0){this.source.disconnect(this.filters[0]);for(let e=1,t=this.filters.length;e0&&this._mixBufferRegionAdditive(n,s,this._addIndex*t,1,t);for(let m=t,g=t+t;m!==g;++m)if(n[m]!==n[m+t]){h.setValue(n,s);break}}saveOriginalState(){const e=this.binding,t=this.buffer,n=this.valueSize,s=n*this._origIndex;e.getValue(t,s);for(let u=n,f=s;u!==f;++u)t[u]=t[s+u%n];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){const e=this.valueSize*3;this.binding.setValue(this.buffer,e)}_setAdditiveIdentityNumeric(){const e=this._addIndex*this.valueSize,t=e+this.valueSize;for(let n=e;n=.5)for(let f=0;f!==u;++f)e[t+f]=e[n+f]}_slerp(e,t,n,s){Pa.slerpFlat(e,t,e,t,e,n,s)}_slerpAdditive(e,t,n,s,u){const f=this._workIndex*u;Pa.multiplyQuaternionsFlat(e,f,e,t,e,n),Pa.slerpFlat(e,t,e,t,e,f,s)}_lerp(e,t,n,s,u){const f=1-s;for(let h=0;h!==u;++h){const m=t+h;e[m]=e[m]*f+e[n+h]*s}}_lerpAdditive(e,t,n,s,u){for(let f=0;f!==u;++f){const h=t+f;e[h]=e[h]+e[n+f]*s}}}const tS="\\[\\]\\.:\\/",eD=new RegExp("["+tS+"]","g"),nS="[^"+tS+"]",tD="[^"+tS.replace("\\.","")+"]",nD=/((?:WC+[\/:])*)/.source.replace("WC",nS),iD=/(WCOD+)?/.source.replace("WCOD",tD),aD=/(?:\.(WC+)(?:\[(.+)\])?)?/.source.replace("WC",nS),sD=/\.(WC+)(?:\[(.+)\])?/.source.replace("WC",nS),rD=new RegExp("^"+nD+iD+aD+sD+"$"),oD=["material","materials","bones","map"];class lD{constructor(e,t,n){const s=n||wn.parseTrackName(t);this._targetGroup=e,this._bindings=e.subscribe_(t,s)}getValue(e,t){this.bind();const n=this._targetGroup.nCachedObjects_,s=this._bindings[n];s!==void 0&&s.getValue(e,t)}setValue(e,t){const n=this._bindings;for(let s=this._targetGroup.nCachedObjects_,u=n.length;s!==u;++s)n[s].setValue(e,t)}bind(){const e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].bind()}unbind(){const e=this._bindings;for(let t=this._targetGroup.nCachedObjects_,n=e.length;t!==n;++t)e[t].unbind()}}class wn{constructor(e,t,n){this.path=t,this.parsedPath=n||wn.parseTrackName(t),this.node=wn.findNode(e,this.parsedPath.nodeName),this.rootNode=e,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}static create(e,t,n){return e&&e.isAnimationObjectGroup?new wn.Composite(e,t,n):new wn(e,t,n)}static sanitizeNodeName(e){return e.replace(/\s/g,"_").replace(eD,"")}static parseTrackName(e){const t=rD.exec(e);if(t===null)throw new Error("PropertyBinding: Cannot parse trackName: "+e);const n={nodeName:t[2],objectName:t[3],objectIndex:t[4],propertyName:t[5],propertyIndex:t[6]},s=n.nodeName&&n.nodeName.lastIndexOf(".");if(s!==void 0&&s!==-1){const u=n.nodeName.substring(s+1);oD.indexOf(u)!==-1&&(n.nodeName=n.nodeName.substring(0,s),n.objectName=u)}if(n.propertyName===null||n.propertyName.length===0)throw new Error("PropertyBinding: can not parse propertyName from trackName: "+e);return n}static findNode(e,t){if(t===void 0||t===""||t==="."||t===-1||t===e.name||t===e.uuid)return e;if(e.skeleton){const n=e.skeleton.getBoneByName(t);if(n!==void 0)return n}if(e.children){const n=function(u){for(let f=0;f=u){const x=u++,b=e[x];t[b.uuid]=_,e[_]=b,t[g]=x,e[x]=m;for(let M=0,A=s;M!==A;++M){const R=n[M],w=R[x],E=R[_];R[_]=w,R[x]=E}}}this.nCachedObjects_=u}uncache(){const e=this._objects,t=this._indicesByUUID,n=this._bindings,s=n.length;let u=this.nCachedObjects_,f=e.length;for(let h=0,m=arguments.length;h!==m;++h){const g=arguments[h],_=g.uuid,x=t[_];if(x!==void 0)if(delete t[_],x0&&(t[M.uuid]=x),e[x]=M,e.pop();for(let A=0,R=s;A!==R;++A){const w=n[A];w[x]=w[b],w.pop()}}}this.nCachedObjects_=u}subscribe_(e,t){const n=this._bindingsIndicesByPath;let s=n[e];const u=this._bindings;if(s!==void 0)return u[s];const f=this._paths,h=this._parsedPaths,m=this._objects,g=m.length,_=this.nCachedObjects_,x=new Array(g);s=u.length,n[e]=s,f.push(e),h.push(t),u.push(x);for(let b=_,M=m.length;b!==M;++b){const A=m[b];x[b]=new wn(A,e,t)}return x}unsubscribe_(e){const t=this._bindingsIndicesByPath,n=t[e];if(n!==void 0){const s=this._paths,u=this._parsedPaths,f=this._bindings,h=f.length-1,m=f[h],g=e[h];t[g]=n,f[n]=m,f.pop(),u[n]=u[h],u.pop(),s[n]=s[h],s.pop()}}}class BT{constructor(e,t,n=null,s=t.blendMode){this._mixer=e,this._clip=t,this._localRoot=n,this.blendMode=s;const u=t.tracks,f=u.length,h=new Array(f),m={endingStart:Yc,endingEnd:Yc};for(let g=0;g!==f;++g){const _=u[g].createInterpolant(null);h[g]=_,_.settings=m}this._interpolantSettings=m,this._interpolants=h,this._propertyBindings=new Array(f),this._cacheIndex=null,this._byClipCacheIndex=null,this._timeScaleInterpolant=null,this._weightInterpolant=null,this.loop=CE,this._loopCount=-1,this._startTime=null,this.time=0,this.timeScale=1,this._effectiveTimeScale=1,this.weight=1,this._effectiveWeight=1,this.repetitions=1/0,this.paused=!1,this.enabled=!0,this.clampWhenFinished=!1,this.zeroSlopeAtStart=!0,this.zeroSlopeAtEnd=!0}play(){return this._mixer._activateAction(this),this}stop(){return this._mixer._deactivateAction(this),this.reset()}reset(){return this.paused=!1,this.enabled=!0,this.time=0,this._loopCount=-1,this._startTime=null,this.stopFading().stopWarping()}isRunning(){return this.enabled&&!this.paused&&this.timeScale!==0&&this._startTime===null&&this._mixer._isActiveAction(this)}isScheduled(){return this._mixer._isActiveAction(this)}startAt(e){return this._startTime=e,this}setLoop(e,t){return this.loop=e,this.repetitions=t,this}setEffectiveWeight(e){return this.weight=e,this._effectiveWeight=this.enabled?e:0,this.stopFading()}getEffectiveWeight(){return this._effectiveWeight}fadeIn(e){return this._scheduleFading(e,0,1)}fadeOut(e){return this._scheduleFading(e,1,0)}crossFadeFrom(e,t,n=!1){if(e.fadeOut(t),this.fadeIn(t),n===!0){const s=this._clip.duration,u=e._clip.duration,f=u/s,h=s/u;e.warp(1,f,t),this.warp(h,1,t)}return this}crossFadeTo(e,t,n=!1){return e.crossFadeFrom(this,t,n)}stopFading(){const e=this._weightInterpolant;return e!==null&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}setEffectiveTimeScale(e){return this.timeScale=e,this._effectiveTimeScale=this.paused?0:e,this.stopWarping()}getEffectiveTimeScale(){return this._effectiveTimeScale}setDuration(e){return this.timeScale=this._clip.duration/e,this.stopWarping()}syncWith(e){return this.time=e.time,this.timeScale=e.timeScale,this.stopWarping()}halt(e){return this.warp(this._effectiveTimeScale,0,e)}warp(e,t,n){const s=this._mixer,u=s.time,f=this.timeScale;let h=this._timeScaleInterpolant;h===null&&(h=s._lendControlInterpolant(),this._timeScaleInterpolant=h);const m=h.parameterPositions,g=h.sampleValues;return m[0]=u,m[1]=u+n,g[0]=e/f,g[1]=t/f,this}stopWarping(){const e=this._timeScaleInterpolant;return e!==null&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(e)),this}getMixer(){return this._mixer}getClip(){return this._clip}getRoot(){return this._localRoot||this._mixer._root}_update(e,t,n,s){if(!this.enabled){this._updateWeight(e);return}const u=this._startTime;if(u!==null){const m=(e-u)*n;m<0||n===0?t=0:(this._startTime=null,t=n*m)}t*=this._updateTimeScale(e);const f=this._updateTime(t),h=this._updateWeight(e);if(h>0){const m=this._interpolants,g=this._propertyBindings;switch(this.blendMode){case Ab:for(let _=0,x=m.length;_!==x;++_)m[_].evaluate(f),g[_].accumulateAdditive(h);break;case Ey:default:for(let _=0,x=m.length;_!==x;++_)m[_].evaluate(f),g[_].accumulate(s,h)}}}_updateWeight(e){let t=0;if(this.enabled){t=this.weight;const n=this._weightInterpolant;if(n!==null){const s=n.evaluate(e)[0];t*=s,e>n.parameterPositions[1]&&(this.stopFading(),s===0&&(this.enabled=!1))}}return this._effectiveWeight=t,t}_updateTimeScale(e){let t=0;if(!this.paused){t=this.timeScale;const n=this._timeScaleInterpolant;if(n!==null){const s=n.evaluate(e)[0];t*=s,e>n.parameterPositions[1]&&(this.stopWarping(),t===0?this.paused=!0:this.timeScale=t)}}return this._effectiveTimeScale=t,t}_updateTime(e){const t=this._clip.duration,n=this.loop;let s=this.time+e,u=this._loopCount;const f=n===RE;if(e===0)return u===-1?s:f&&(u&1)===1?t-s:s;if(n===wE){u===-1&&(this._loopCount=0,this._setEndings(!0,!0,!1));e:{if(s>=t)s=t;else if(s<0)s=0;else{this.time=s;break e}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=s,this._mixer.dispatchEvent({type:"finished",action:this,direction:e<0?-1:1})}}else{if(u===-1&&(e>=0?(u=0,this._setEndings(!0,this.repetitions===0,f)):this._setEndings(this.repetitions===0,!0,f)),s>=t||s<0){const h=Math.floor(s/t);s-=t*h,u+=Math.abs(h);const m=this.repetitions-u;if(m<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,s=e>0?t:0,this.time=s,this._mixer.dispatchEvent({type:"finished",action:this,direction:e>0?1:-1});else{if(m===1){const g=e<0;this._setEndings(g,!g,f)}else this._setEndings(!1,!1,f);this._loopCount=u,this.time=s,this._mixer.dispatchEvent({type:"loop",action:this,loopDelta:h})}}else this.time=s;if(f&&(u&1)===1)return t-s}return s}_setEndings(e,t,n){const s=this._interpolantSettings;n?(s.endingStart=Zc,s.endingEnd=Zc):(e?s.endingStart=this.zeroSlopeAtStart?Zc:Yc:s.endingStart=hm,t?s.endingEnd=this.zeroSlopeAtEnd?Zc:Yc:s.endingEnd=hm)}_scheduleFading(e,t,n){const s=this._mixer,u=s.time;let f=this._weightInterpolant;f===null&&(f=s._lendControlInterpolant(),this._weightInterpolant=f);const h=f.parameterPositions,m=f.sampleValues;return h[0]=u,m[0]=t,h[1]=u+e,m[1]=n,this}}const cD=new Float32Array(1);class fD extends ko{constructor(e){super(),this._root=e,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(e,t){const n=e._localRoot||this._root,s=e._clip.tracks,u=s.length,f=e._propertyBindings,h=e._interpolants,m=n.uuid,g=this._bindingsByRootAndName;let _=g[m];_===void 0&&(_={},g[m]=_);for(let x=0;x!==u;++x){const b=s[x],M=b.name;let A=_[M];if(A!==void 0)++A.referenceCount,f[x]=A;else{if(A=f[x],A!==void 0){A._cacheIndex===null&&(++A.referenceCount,this._addInactiveBinding(A,m,M));continue}const R=t&&t._propertyBindings[x].binding.parsedPath;A=new zT(wn.create(n,M,R),b.ValueTypeName,b.getValueSize()),++A.referenceCount,this._addInactiveBinding(A,m,M),f[x]=A}h[x].resultBuffer=A.buffer}}_activateAction(e){if(!this._isActiveAction(e)){if(e._cacheIndex===null){const n=(e._localRoot||this._root).uuid,s=e._clip.uuid,u=this._actionsByClip[s];this._bindAction(e,u&&u.knownActions[0]),this._addInactiveAction(e,s,n)}const t=e._propertyBindings;for(let n=0,s=t.length;n!==s;++n){const u=t[n];u.useCount++===0&&(this._lendBinding(u),u.saveOriginalState())}this._lendAction(e)}}_deactivateAction(e){if(this._isActiveAction(e)){const t=e._propertyBindings;for(let n=0,s=t.length;n!==s;++n){const u=t[n];--u.useCount===0&&(u.restoreOriginalState(),this._takeBackBinding(u))}this._takeBackAction(e)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;const e=this;this.stats={actions:{get total(){return e._actions.length},get inUse(){return e._nActiveActions}},bindings:{get total(){return e._bindings.length},get inUse(){return e._nActiveBindings}},controlInterpolants:{get total(){return e._controlInterpolants.length},get inUse(){return e._nActiveControlInterpolants}}}}_isActiveAction(e){const t=e._cacheIndex;return t!==null&&t=0;--n)e[n].stop();return this}update(e){e*=this.timeScale;const t=this._actions,n=this._nActiveActions,s=this.time+=e,u=Math.sign(e),f=this._accuIndex^=1;for(let g=0;g!==n;++g)t[g]._update(s,e,u,f);const h=this._bindings,m=this._nActiveBindings;for(let g=0;g!==m;++g)h[g].apply(f);return this}setTime(e){this.time=0;for(let t=0;t=this.min.x&&e.x<=this.max.x&&e.y>=this.min.y&&e.y<=this.max.y}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(e){return e.max.x>=this.min.x&&e.min.x<=this.max.x&&e.max.y>=this.min.y&&e.min.y<=this.max.y}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,n1).distanceTo(e)}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}}const i1=new j,tv=new j,Oh=new j,Ph=new j,xx=new j,bD=new j,SD=new j;class MD{constructor(e=new j,t=new j){this.start=e,this.end=t}set(e,t){return this.start.copy(e),this.end.copy(t),this}copy(e){return this.start.copy(e.start),this.end.copy(e.end),this}getCenter(e){return e.addVectors(this.start,this.end).multiplyScalar(.5)}delta(e){return e.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(e,t){return this.delta(t).multiplyScalar(e).add(this.start)}closestPointToPointParameter(e,t){i1.subVectors(e,this.start),tv.subVectors(this.end,this.start);const n=tv.dot(tv);let u=tv.dot(i1)/n;return t&&(u=Ht(u,0,1)),u}closestPointToPoint(e,t,n){const s=this.closestPointToPointParameter(e,t);return this.delta(n).multiplyScalar(s).add(this.start)}distanceSqToLine3(e,t=bD,n=SD){const s=10000000000000001e-32;let u,f;const h=this.start,m=e.start,g=this.end,_=e.end;Oh.subVectors(g,h),Ph.subVectors(_,m),xx.subVectors(h,m);const x=Oh.dot(Oh),b=Ph.dot(Ph),M=Ph.dot(xx);if(x<=s&&b<=s)return t.copy(h),n.copy(m),t.sub(n),t.dot(t);if(x<=s)u=0,f=M/b,f=Ht(f,0,1);else{const A=Oh.dot(xx);if(b<=s)f=0,u=Ht(-A/x,0,1);else{const R=Oh.dot(Ph),w=x*b-R*R;w!==0?u=Ht((R*M-A*b)/w,0,1):u=0,f=(R*u+M)/b,f<0?(f=0,u=Ht(-A/x,0,1)):f>1&&(f=1,u=Ht((R-A)/x,0,1))}}return t.copy(h).add(Oh.multiplyScalar(u)),n.copy(m).add(Ph.multiplyScalar(f)),t.sub(n),t.dot(t)}applyMatrix4(e){return this.start.applyMatrix4(e),this.end.applyMatrix4(e),this}equals(e){return e.start.equals(this.start)&&e.end.equals(this.end)}clone(){return new this.constructor().copy(this)}}const a1=new j;class ED extends Cn{constructor(e,t){super(),this.light=e,this.matrixAutoUpdate=!1,this.color=t,this.type="SpotLightHelper";const n=new Kt,s=[0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,-1,0,1,0,0,0,0,1,1,0,0,0,0,-1,1];for(let f=0,h=1,m=32;f1)for(let x=0;x.99999)this.quaternion.set(0,0,0,1);else if(e.y<-.99999)this.quaternion.set(1,0,0,0);else{u1.set(e.z,0,-e.x).normalize();const t=Math.acos(e.y);this.quaternion.setFromAxisAngle(u1,t)}}setLength(e,t=e*.2,n=t*.2){this.line.scale.set(1,Math.max(1e-4,e-t),1),this.line.updateMatrix(),this.cone.scale.set(n,t,n),this.cone.position.y=e,this.cone.updateMatrix()}setColor(e){this.line.material.color.set(e),this.cone.material.color.set(e)}copy(e){return super.copy(e,!1),this.line.copy(e.line),this.cone.copy(e.cone),this}dispose(){this.line.geometry.dispose(),this.line.material.dispose(),this.cone.geometry.dispose(),this.cone.material.dispose()}}class zD extends Vo{constructor(e=1){const t=[0,0,0,e,0,0,0,0,0,0,e,0,0,0,0,0,0,e],n=[1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],s=new Kt;s.setAttribute("position",new bt(t,3)),s.setAttribute("color",new bt(n,3));const u=new ss({vertexColors:!0,toneMapped:!1});super(s,u),this.type="AxesHelper"}setColors(e,t,n){const s=new yt,u=this.geometry.attributes.color.array;return s.set(e),s.toArray(u,0),s.toArray(u,3),s.set(t),s.toArray(u,6),s.toArray(u,9),s.set(n),s.toArray(u,12),s.toArray(u,15),this.geometry.attributes.color.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}}class BD{constructor(){this.type="ShapePath",this.color=new yt,this.subPaths=[],this.currentPath=null}moveTo(e,t){return this.currentPath=new ly,this.subPaths.push(this.currentPath),this.currentPath.moveTo(e,t),this}lineTo(e,t){return this.currentPath.lineTo(e,t),this}quadraticCurveTo(e,t,n,s){return this.currentPath.quadraticCurveTo(e,t,n,s),this}bezierCurveTo(e,t,n,s,u,f){return this.currentPath.bezierCurveTo(e,t,n,s,u,f),this}splineThru(e){return this.currentPath.splineThru(e),this}toShapes(e){function t(E){const N=[];for(let D=0,U=E.length;DNumber.EPSILON){if(P<0&&(H=N[z],I=-I,W=N[B],P=-P),E.yW.y)continue;if(E.y===H.y){if(E.x===H.x)return!0}else{const Z=P*(E.x-H.x)-I*(E.y-H.y);if(Z===0)return!0;if(Z<0)continue;U=!U}}else{if(E.y!==H.y)continue;if(W.x<=E.x&&E.x<=H.x||H.x<=E.x&&E.x<=W.x)return!0}}return U}const s=jr.isClockWise,u=this.subPaths;if(u.length===0)return[];let f,h,m;const g=[];if(u.length===1)return h=u[0],m=new $c,m.curves=h.curves,g.push(m),g;let _=!s(u[0].getPoints());_=e?!_:_;const x=[],b=[];let M=[],A=0,R;b[A]=void 0,M[A]=[];for(let E=0,N=u.length;E1){let E=!1,N=0;for(let D=0,U=b.length;D0&&E===!1&&(M=x)}let w;for(let E=0,N=b.length;Ee?(r.repeat.x=1,r.repeat.y=t/e,r.offset.x=0,r.offset.y=(1-r.repeat.y)/2):(r.repeat.x=e/t,r.repeat.y=1,r.offset.x=(1-r.repeat.x)/2,r.offset.y=0),r}function VD(r,e){const t=r.image&&r.image.width?r.image.width/r.image.height:1;return t>e?(r.repeat.x=e/t,r.repeat.y=1,r.offset.x=(1-r.repeat.x)/2,r.offset.y=0):(r.repeat.x=1,r.repeat.y=t/e,r.offset.x=0,r.offset.y=(1-r.repeat.y)/2),r}function HD(r){return r.repeat.x=1,r.repeat.y=1,r.offset.x=0,r.offset.y=0,r}function tb(r,e,t,n){const s=GD(n);switch(t){case Eb:return r*e;case by:return r*e/s.components*s.byteLength;case wm:return r*e/s.components*s.byteLength;case tf:return r*e*2/s.components*s.byteLength;case Sy:return r*e*2/s.components*s.byteLength;case Tb:return r*e*3/s.components*s.byteLength;case Oa:return r*e*4/s.components*s.byteLength;case My:return r*e*4/s.components*s.byteLength;case $p:case em:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*8;case tm:case nm:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case wv:case Rv:return Math.max(r,16)*Math.max(e,8)/4;case Av:case Cv:return Math.max(r,8)*Math.max(e,8)/2;case Nv:case Dv:case Uv:case Iv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*8;case Lv:case Ov:case Pv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case zv:return Math.floor((r+3)/4)*Math.floor((e+3)/4)*16;case Bv:return Math.floor((r+4)/5)*Math.floor((e+3)/4)*16;case Fv:return Math.floor((r+4)/5)*Math.floor((e+4)/5)*16;case kv:return Math.floor((r+5)/6)*Math.floor((e+4)/5)*16;case Vv:return Math.floor((r+5)/6)*Math.floor((e+5)/6)*16;case Hv:return Math.floor((r+7)/8)*Math.floor((e+4)/5)*16;case Gv:return Math.floor((r+7)/8)*Math.floor((e+5)/6)*16;case Xv:return Math.floor((r+7)/8)*Math.floor((e+7)/8)*16;case Wv:return Math.floor((r+9)/10)*Math.floor((e+4)/5)*16;case qv:return Math.floor((r+9)/10)*Math.floor((e+5)/6)*16;case jv:return Math.floor((r+9)/10)*Math.floor((e+7)/8)*16;case Yv:return Math.floor((r+9)/10)*Math.floor((e+9)/10)*16;case Zv:return Math.floor((r+11)/12)*Math.floor((e+9)/10)*16;case Qv:return Math.floor((r+11)/12)*Math.floor((e+11)/12)*16;case Kv:case Jv:case $v:return Math.ceil(r/4)*Math.ceil(e/4)*16;case ey:case ty:return Math.ceil(r/4)*Math.ceil(e/4)*8;case ny:case iy:return Math.ceil(r/4)*Math.ceil(e/4)*16}throw new Error(`Unable to determine texture byte length for ${t} format.`)}function GD(r){switch(r){case ts:case xb:return{byteLength:1,components:1};case qh:case bb:case Bo:return{byteLength:2,components:1};case _y:case xy:return{byteLength:2,components:4};case vr:case yy:case is:return{byteLength:4,components:1};case Sb:case Mb:return{byteLength:4,components:3}}throw new Error(`Unknown texture type ${r}.`)}class XD{static contain(e,t){return kD(e,t)}static cover(e,t){return VD(e,t)}static fill(e){return HD(e)}static getByteLength(e,t,n,s){return tb(e,t,n,s)}}typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register",{detail:{revision:my}}));typeof window<"u"&&(window.__THREE__?ft("WARNING: Multiple instances of Three.js being imported."):window.__THREE__=my);function VT(){let r=null,e=!1,t=null,n=null;function s(u,f){t(u,f),n=r.requestAnimationFrame(s)}return{start:function(){e!==!0&&t!==null&&(n=r.requestAnimationFrame(s),e=!0)},stop:function(){r.cancelAnimationFrame(n),e=!1},setAnimationLoop:function(u){t=u},setContext:function(u){r=u}}}function WD(r){const e=new WeakMap;function t(h,m){const g=h.array,_=h.usage,x=g.byteLength,b=r.createBuffer();r.bindBuffer(m,b),r.bufferData(m,g,_),h.onUploadCallback();let M;if(g instanceof Float32Array)M=r.FLOAT;else if(typeof Float16Array<"u"&&g instanceof Float16Array)M=r.HALF_FLOAT;else if(g instanceof Uint16Array)h.isFloat16BufferAttribute?M=r.HALF_FLOAT:M=r.UNSIGNED_SHORT;else if(g instanceof Int16Array)M=r.SHORT;else if(g instanceof Uint32Array)M=r.UNSIGNED_INT;else if(g instanceof Int32Array)M=r.INT;else if(g instanceof Int8Array)M=r.BYTE;else if(g instanceof Uint8Array)M=r.UNSIGNED_BYTE;else if(g instanceof Uint8ClampedArray)M=r.UNSIGNED_BYTE;else throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: "+g);return{buffer:b,type:M,bytesPerElement:g.BYTES_PER_ELEMENT,version:h.version,size:x}}function n(h,m,g){const _=m.array,x=m.updateRanges;if(r.bindBuffer(g,h),x.length===0)r.bufferSubData(g,0,_);else{x.sort((M,A)=>M.start-A.start);let b=0;for(let M=1;M 0 + vec4 plane; + #ifdef ALPHA_TO_COVERAGE + float distanceToPlane, distanceGradient; + float clipOpacity = 1.0; + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w; + distanceGradient = fwidth( distanceToPlane ) / 2.0; + clipOpacity *= smoothstep( - distanceGradient, distanceGradient, distanceToPlane ); + if ( clipOpacity == 0.0 ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + float unionClipOpacity = 1.0; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w; + distanceGradient = fwidth( distanceToPlane ) / 2.0; + unionClipOpacity *= 1.0 - smoothstep( - distanceGradient, distanceGradient, distanceToPlane ); + } + #pragma unroll_loop_end + clipOpacity *= 1.0 - unionClipOpacity; + #endif + diffuseColor.a *= clipOpacity; + if ( diffuseColor.a == 0.0 ) discard; + #else + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + bool clipped = true; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped; + } + #pragma unroll_loop_end + if ( clipped ) discard; + #endif + #endif +#endif`,lL=`#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; + uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ]; +#endif`,uL=`#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; +#endif`,cL=`#if NUM_CLIPPING_PLANES > 0 + vClipPosition = - mvPosition.xyz; +#endif`,fL=`#if defined( USE_COLOR_ALPHA ) + diffuseColor *= vColor; +#elif defined( USE_COLOR ) + diffuseColor.rgb *= vColor; +#endif`,hL=`#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) + varying vec3 vColor; +#endif`,dL=`#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR ) + varying vec3 vColor; +#endif`,pL=`#if defined( USE_COLOR_ALPHA ) + vColor = vec4( 1.0 ); +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR ) + vColor = vec3( 1.0 ); +#endif +#ifdef USE_COLOR + vColor *= color; +#endif +#ifdef USE_INSTANCING_COLOR + vColor.xyz *= instanceColor.xyz; +#endif +#ifdef USE_BATCHING_COLOR + vec3 batchingColor = getBatchingColor( getIndirectIndex( gl_DrawID ) ); + vColor.xyz *= batchingColor.xyz; +#endif`,mL=`#define PI 3.141592653589793 +#define PI2 6.283185307179586 +#define PI_HALF 1.5707963267948966 +#define RECIPROCAL_PI 0.3183098861837907 +#define RECIPROCAL_PI2 0.15915494309189535 +#define EPSILON 1e-6 +#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +#define whiteComplement( a ) ( 1.0 - saturate( a ) ) +float pow2( const in float x ) { return x*x; } +vec3 pow2( const in vec3 x ) { return x*x; } +float pow3( const in float x ) { return x*x*x; } +float pow4( const in float x ) { float x2 = x*x; return x2*x2; } +float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); } +float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); } +highp float rand( const in vec2 uv ) { + const highp float a = 12.9898, b = 78.233, c = 43758.5453; + highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI ); + return fract( sin( sn ) * c ); +} +#ifdef HIGH_PRECISION + float precisionSafeLength( vec3 v ) { return length( v ); } +#else + float precisionSafeLength( vec3 v ) { + float maxComponent = max3( abs( v ) ); + return length( v / maxComponent ) * maxComponent; + } +#endif +struct IncidentLight { + vec3 color; + vec3 direction; + bool visible; +}; +struct ReflectedLight { + vec3 directDiffuse; + vec3 directSpecular; + vec3 indirectDiffuse; + vec3 indirectSpecular; +}; +#ifdef USE_ALPHAHASH + varying vec3 vPosition; +#endif +vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); +} +vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz ); +} +bool isPerspectiveMatrix( mat4 m ) { + return m[ 2 ][ 3 ] == - 1.0; +} +vec2 equirectUv( in vec3 dir ) { + float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5; + float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5; + return vec2( u, v ); +} +vec3 BRDF_Lambert( const in vec3 diffuseColor ) { + return RECIPROCAL_PI * diffuseColor; +} +vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} +float F_Schlick( const in float f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} // validated`,gL=`#ifdef ENVMAP_TYPE_CUBE_UV + #define cubeUV_minMipLevel 4.0 + #define cubeUV_minTileSize 16.0 + float getFace( vec3 direction ) { + vec3 absDirection = abs( direction ); + float face = - 1.0; + if ( absDirection.x > absDirection.z ) { + if ( absDirection.x > absDirection.y ) + face = direction.x > 0.0 ? 0.0 : 3.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } else { + if ( absDirection.z > absDirection.y ) + face = direction.z > 0.0 ? 2.0 : 5.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } + return face; + } + vec2 getUV( vec3 direction, float face ) { + vec2 uv; + if ( face == 0.0 ) { + uv = vec2( direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 1.0 ) { + uv = vec2( - direction.x, - direction.z ) / abs( direction.y ); + } else if ( face == 2.0 ) { + uv = vec2( - direction.x, direction.y ) / abs( direction.z ); + } else if ( face == 3.0 ) { + uv = vec2( - direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 4.0 ) { + uv = vec2( - direction.x, direction.z ) / abs( direction.y ); + } else { + uv = vec2( direction.x, direction.y ) / abs( direction.z ); + } + return 0.5 * ( uv + 1.0 ); + } + vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) { + float face = getFace( direction ); + float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 ); + mipInt = max( mipInt, cubeUV_minMipLevel ); + float faceSize = exp2( mipInt ); + highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0; + if ( face > 2.0 ) { + uv.y += faceSize; + face -= 3.0; + } + uv.x += face * faceSize; + uv.x += filterInt * 3.0 * cubeUV_minTileSize; + uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize ); + uv.x *= CUBEUV_TEXEL_WIDTH; + uv.y *= CUBEUV_TEXEL_HEIGHT; + #ifdef texture2DGradEXT + return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb; + #else + return texture2D( envMap, uv ).rgb; + #endif + } + #define cubeUV_r0 1.0 + #define cubeUV_m0 - 2.0 + #define cubeUV_r1 0.8 + #define cubeUV_m1 - 1.0 + #define cubeUV_r4 0.4 + #define cubeUV_m4 2.0 + #define cubeUV_r5 0.305 + #define cubeUV_m5 3.0 + #define cubeUV_r6 0.21 + #define cubeUV_m6 4.0 + float roughnessToMip( float roughness ) { + float mip = 0.0; + if ( roughness >= cubeUV_r1 ) { + mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0; + } else if ( roughness >= cubeUV_r4 ) { + mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1; + } else if ( roughness >= cubeUV_r5 ) { + mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4; + } else if ( roughness >= cubeUV_r6 ) { + mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5; + } else { + mip = - 2.0 * log2( 1.16 * roughness ); } + return mip; + } + vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) { + float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP ); + float mipF = fract( mip ); + float mipInt = floor( mip ); + vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt ); + if ( mipF == 0.0 ) { + return vec4( color0, 1.0 ); + } else { + vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 ); + return vec4( mix( color0, color1, mipF ), 1.0 ); + } + } +#endif`,vL=`vec3 transformedNormal = objectNormal; +#ifdef USE_TANGENT + vec3 transformedTangent = objectTangent; +#endif +#ifdef USE_BATCHING + mat3 bm = mat3( batchingMatrix ); + transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) ); + transformedNormal = bm * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = bm * transformedTangent; + #endif +#endif +#ifdef USE_INSTANCING + mat3 im = mat3( instanceMatrix ); + transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) ); + transformedNormal = im * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = im * transformedTangent; + #endif +#endif +transformedNormal = normalMatrix * transformedNormal; +#ifdef FLIP_SIDED + transformedNormal = - transformedNormal; +#endif +#ifdef USE_TANGENT + transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz; + #ifdef FLIP_SIDED + transformedTangent = - transformedTangent; + #endif +#endif`,yL=`#ifdef USE_DISPLACEMENTMAP + uniform sampler2D displacementMap; + uniform float displacementScale; + uniform float displacementBias; +#endif`,_L=`#ifdef USE_DISPLACEMENTMAP + transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias ); +#endif`,xL=`#ifdef USE_EMISSIVEMAP + vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv ); + #ifdef DECODE_VIDEO_TEXTURE_EMISSIVE + emissiveColor = sRGBTransferEOTF( emissiveColor ); + #endif + totalEmissiveRadiance *= emissiveColor.rgb; +#endif`,bL=`#ifdef USE_EMISSIVEMAP + uniform sampler2D emissiveMap; +#endif`,SL="gl_FragColor = linearToOutputTexel( gl_FragColor );",ML=`vec4 LinearTransferOETF( in vec4 value ) { + return value; +} +vec4 sRGBTransferEOTF( in vec4 value ) { + return vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a ); +} +vec4 sRGBTransferOETF( in vec4 value ) { + return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a ); +}`,EL=`#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vec3 cameraToFrag; + if ( isOrthographic ) { + cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToFrag = normalize( vWorldPosition - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vec3 reflectVec = reflect( cameraToFrag, worldNormal ); + #else + vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio ); + #endif + #else + vec3 reflectVec = vReflect; + #endif + #ifdef ENVMAP_TYPE_CUBE + vec4 envColor = textureCube( envMap, envMapRotation * vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) ); + #else + vec4 envColor = vec4( 0.0 ); + #endif + #ifdef ENVMAP_BLENDING_MULTIPLY + outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_MIX ) + outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_ADD ) + outgoingLight += envColor.xyz * specularStrength * reflectivity; + #endif +#endif`,TL=`#ifdef USE_ENVMAP + uniform float envMapIntensity; + uniform float flipEnvMap; + uniform mat3 envMapRotation; + #ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; + #else + uniform sampler2D envMap; + #endif +#endif`,AL=`#ifdef USE_ENVMAP + uniform float reflectivity; + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + varying vec3 vWorldPosition; + uniform float refractionRatio; + #else + varying vec3 vReflect; + #endif +#endif`,wL=`#ifdef USE_ENVMAP + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + + varying vec3 vWorldPosition; + #else + varying vec3 vReflect; + uniform float refractionRatio; + #endif +#endif`,CL=`#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vWorldPosition = worldPosition.xyz; + #else + vec3 cameraToVertex; + if ( isOrthographic ) { + cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToVertex = normalize( worldPosition.xyz - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vReflect = reflect( cameraToVertex, worldNormal ); + #else + vReflect = refract( cameraToVertex, worldNormal, refractionRatio ); + #endif + #endif +#endif`,RL=`#ifdef USE_FOG + vFogDepth = - mvPosition.z; +#endif`,NL=`#ifdef USE_FOG + varying float vFogDepth; +#endif`,DL=`#ifdef USE_FOG + #ifdef FOG_EXP2 + float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth ); + #else + float fogFactor = smoothstep( fogNear, fogFar, vFogDepth ); + #endif + gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor ); +#endif`,LL=`#ifdef USE_FOG + uniform vec3 fogColor; + varying float vFogDepth; + #ifdef FOG_EXP2 + uniform float fogDensity; + #else + uniform float fogNear; + uniform float fogFar; + #endif +#endif`,UL=`#ifdef USE_GRADIENTMAP + uniform sampler2D gradientMap; +#endif +vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) { + float dotNL = dot( normal, lightDirection ); + vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 ); + #ifdef USE_GRADIENTMAP + return vec3( texture2D( gradientMap, coord ).r ); + #else + vec2 fw = fwidth( coord ) * 0.5; + return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) ); + #endif +}`,IL=`#ifdef USE_LIGHTMAP + uniform sampler2D lightMap; + uniform float lightMapIntensity; +#endif`,OL=`LambertMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularStrength = specularStrength;`,PL=`varying vec3 vViewPosition; +struct LambertMaterial { + vec3 diffuseColor; + float specularStrength; +}; +void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Lambert +#define RE_IndirectDiffuse RE_IndirectDiffuse_Lambert`,zL=`uniform bool receiveShadow; +uniform vec3 ambientLightColor; +#if defined( USE_LIGHT_PROBES ) + uniform vec3 lightProbe[ 9 ]; +#endif +vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) { + float x = normal.x, y = normal.y, z = normal.z; + vec3 result = shCoefficients[ 0 ] * 0.886227; + result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y; + result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z; + result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x; + result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y; + result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z; + result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 ); + result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z; + result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y ); + return result; +} +vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) { + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe ); + return irradiance; +} +vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) { + vec3 irradiance = ambientLightColor; + return irradiance; +} +float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) { + float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 ); + if ( cutoffDistance > 0.0 ) { + distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) ); + } + return distanceFalloff; +} +float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) { + return smoothstep( coneCosine, penumbraCosine, angleCosine ); +} +#if NUM_DIR_LIGHTS > 0 + struct DirectionalLight { + vec3 direction; + vec3 color; + }; + uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ]; + void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) { + light.color = directionalLight.color; + light.direction = directionalLight.direction; + light.visible = true; + } +#endif +#if NUM_POINT_LIGHTS > 0 + struct PointLight { + vec3 position; + vec3 color; + float distance; + float decay; + }; + uniform PointLight pointLights[ NUM_POINT_LIGHTS ]; + void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = pointLight.position - geometryPosition; + light.direction = normalize( lVector ); + float lightDistance = length( lVector ); + light.color = pointLight.color; + light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } +#endif +#if NUM_SPOT_LIGHTS > 0 + struct SpotLight { + vec3 position; + vec3 direction; + vec3 color; + float distance; + float decay; + float coneCos; + float penumbraCos; + }; + uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ]; + void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = spotLight.position - geometryPosition; + light.direction = normalize( lVector ); + float angleCos = dot( light.direction, spotLight.direction ); + float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos ); + if ( spotAttenuation > 0.0 ) { + float lightDistance = length( lVector ); + light.color = spotLight.color * spotAttenuation; + light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } else { + light.color = vec3( 0.0 ); + light.visible = false; + } + } +#endif +#if NUM_RECT_AREA_LIGHTS > 0 + struct RectAreaLight { + vec3 color; + vec3 position; + vec3 halfWidth; + vec3 halfHeight; + }; + uniform sampler2D ltc_1; uniform sampler2D ltc_2; + uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ]; +#endif +#if NUM_HEMI_LIGHTS > 0 + struct HemisphereLight { + vec3 direction; + vec3 skyColor; + vec3 groundColor; + }; + uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ]; + vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) { + float dotNL = dot( normal, hemiLight.direction ); + float hemiDiffuseWeight = 0.5 * dotNL + 0.5; + vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight ); + return irradiance; + } +#endif`,BL=`#ifdef USE_ENVMAP + vec3 getIBLIrradiance( const in vec3 normal ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, envMapRotation * worldNormal, 1.0 ); + return PI * envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 reflectVec = reflect( - viewDir, normal ); + reflectVec = normalize( mix( reflectVec, normal, pow4( roughness ) ) ); + reflectVec = inverseTransformDirection( reflectVec, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, envMapRotation * reflectVec, roughness ); + return envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + #ifdef USE_ANISOTROPY + vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 bentNormal = cross( bitangent, viewDir ); + bentNormal = normalize( cross( bentNormal, bitangent ) ); + bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) ); + return getIBLRadiance( viewDir, bentNormal, roughness ); + #else + return vec3( 0.0 ); + #endif + } + #endif +#endif`,FL=`ToonMaterial material; +material.diffuseColor = diffuseColor.rgb;`,kL=`varying vec3 vViewPosition; +struct ToonMaterial { + vec3 diffuseColor; +}; +void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Toon +#define RE_IndirectDiffuse RE_IndirectDiffuse_Toon`,VL=`BlinnPhongMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularColor = specular; +material.specularShininess = shininess; +material.specularStrength = specularStrength;`,HL=`varying vec3 vViewPosition; +struct BlinnPhongMaterial { + vec3 diffuseColor; + vec3 specularColor; + float specularShininess; + float specularStrength; +}; +void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); + reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength; +} +void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_BlinnPhong +#define RE_IndirectDiffuse RE_IndirectDiffuse_BlinnPhong`,GL=`PhysicalMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.diffuseContribution = diffuseColor.rgb * ( 1.0 - metalnessFactor ); +material.metalness = metalnessFactor; +vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) ); +float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z ); +material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness; +material.roughness = min( material.roughness, 1.0 ); +#ifdef IOR + material.ior = ior; + #ifdef USE_SPECULAR + float specularIntensityFactor = specularIntensity; + vec3 specularColorFactor = specularColor; + #ifdef USE_SPECULAR_COLORMAP + specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a; + #endif + material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor ); + #else + float specularIntensityFactor = 1.0; + vec3 specularColorFactor = vec3( 1.0 ); + material.specularF90 = 1.0; + #endif + material.specularColor = min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor; + material.specularColorBlended = mix( material.specularColor, diffuseColor.rgb, metalnessFactor ); +#else + material.specularColor = vec3( 0.04 ); + material.specularColorBlended = mix( material.specularColor, diffuseColor.rgb, metalnessFactor ); + material.specularF90 = 1.0; +#endif +#ifdef USE_CLEARCOAT + material.clearcoat = clearcoat; + material.clearcoatRoughness = clearcoatRoughness; + material.clearcoatF0 = vec3( 0.04 ); + material.clearcoatF90 = 1.0; + #ifdef USE_CLEARCOATMAP + material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x; + #endif + #ifdef USE_CLEARCOAT_ROUGHNESSMAP + material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y; + #endif + material.clearcoat = saturate( material.clearcoat ); material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 ); + material.clearcoatRoughness += geometryRoughness; + material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 ); +#endif +#ifdef USE_DISPERSION + material.dispersion = dispersion; +#endif +#ifdef USE_IRIDESCENCE + material.iridescence = iridescence; + material.iridescenceIOR = iridescenceIOR; + #ifdef USE_IRIDESCENCEMAP + material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r; + #endif + #ifdef USE_IRIDESCENCE_THICKNESSMAP + material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum; + #else + material.iridescenceThickness = iridescenceThicknessMaximum; + #endif +#endif +#ifdef USE_SHEEN + material.sheenColor = sheenColor; + #ifdef USE_SHEEN_COLORMAP + material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb; + #endif + material.sheenRoughness = clamp( sheenRoughness, 0.0001, 1.0 ); + #ifdef USE_SHEEN_ROUGHNESSMAP + material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a; + #endif +#endif +#ifdef USE_ANISOTROPY + #ifdef USE_ANISOTROPYMAP + mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x ); + vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb; + vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b; + #else + vec2 anisotropyV = anisotropyVector; + #endif + material.anisotropy = length( anisotropyV ); + if( material.anisotropy == 0.0 ) { + anisotropyV = vec2( 1.0, 0.0 ); + } else { + anisotropyV /= material.anisotropy; + material.anisotropy = saturate( material.anisotropy ); + } + material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) ); + material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y; + material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y; +#endif`,XL=`uniform sampler2D dfgLUT; +struct PhysicalMaterial { + vec3 diffuseColor; + vec3 diffuseContribution; + vec3 specularColor; + vec3 specularColorBlended; + float roughness; + float metalness; + float specularF90; + float dispersion; + #ifdef USE_CLEARCOAT + float clearcoat; + float clearcoatRoughness; + vec3 clearcoatF0; + float clearcoatF90; + #endif + #ifdef USE_IRIDESCENCE + float iridescence; + float iridescenceIOR; + float iridescenceThickness; + vec3 iridescenceFresnel; + vec3 iridescenceF0; + vec3 iridescenceFresnelDielectric; + vec3 iridescenceFresnelMetallic; + #endif + #ifdef USE_SHEEN + vec3 sheenColor; + float sheenRoughness; + #endif + #ifdef IOR + float ior; + #endif + #ifdef USE_TRANSMISSION + float transmission; + float transmissionAlpha; + float thickness; + float attenuationDistance; + vec3 attenuationColor; + #endif + #ifdef USE_ANISOTROPY + float anisotropy; + float alphaT; + vec3 anisotropyT; + vec3 anisotropyB; + #endif +}; +vec3 clearcoatSpecularDirect = vec3( 0.0 ); +vec3 clearcoatSpecularIndirect = vec3( 0.0 ); +vec3 sheenSpecularDirect = vec3( 0.0 ); +vec3 sheenSpecularIndirect = vec3(0.0 ); +vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) { + float x = clamp( 1.0 - dotVH, 0.0, 1.0 ); + float x2 = x * x; + float x5 = clamp( x * x2 * x2, 0.0, 0.9999 ); + return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 ); +} +float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) { + float a2 = pow2( alpha ); + float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) ); + float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) ); + return 0.5 / max( gv + gl, EPSILON ); +} +float D_GGX( const in float alpha, const in float dotNH ) { + float a2 = pow2( alpha ); + float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; + return RECIPROCAL_PI * a2 / pow2( denom ); +} +#ifdef USE_ANISOTROPY + float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) { + float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) ); + float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) ); + float v = 0.5 / ( gv + gl ); + return v; + } + float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) { + float a2 = alphaT * alphaB; + highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH ); + highp float v2 = dot( v, v ); + float w2 = a2 / v2; + return RECIPROCAL_PI * a2 * pow2 ( w2 ); + } +#endif +#ifdef USE_CLEARCOAT + vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) { + vec3 f0 = material.clearcoatF0; + float f90 = material.clearcoatF90; + float roughness = material.clearcoatRoughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + return F * ( V * D ); + } +#endif +vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 f0 = material.specularColorBlended; + float f90 = material.specularF90; + float roughness = material.roughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + #ifdef USE_IRIDESCENCE + F = mix( F, material.iridescenceFresnel, material.iridescence ); + #endif + #ifdef USE_ANISOTROPY + float dotTL = dot( material.anisotropyT, lightDir ); + float dotTV = dot( material.anisotropyT, viewDir ); + float dotTH = dot( material.anisotropyT, halfDir ); + float dotBL = dot( material.anisotropyB, lightDir ); + float dotBV = dot( material.anisotropyB, viewDir ); + float dotBH = dot( material.anisotropyB, halfDir ); + float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL ); + float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH ); + #else + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + #endif + return F * ( V * D ); +} +vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) { + const float LUT_SIZE = 64.0; + const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE; + const float LUT_BIAS = 0.5 / LUT_SIZE; + float dotNV = saturate( dot( N, V ) ); + vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) ); + uv = uv * LUT_SCALE + LUT_BIAS; + return uv; +} +float LTC_ClippedSphereFormFactor( const in vec3 f ) { + float l = length( f ); + return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 ); +} +vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) { + float x = dot( v1, v2 ); + float y = abs( x ); + float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y; + float b = 3.4175940 + ( 4.1616724 + y ) * y; + float v = a / b; + float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v; + return cross( v1, v2 ) * theta_sintheta; +} +vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) { + vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ]; + vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ]; + vec3 lightNormal = cross( v1, v2 ); + if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 ); + vec3 T1, T2; + T1 = normalize( V - N * dot( V, N ) ); + T2 = - cross( N, T1 ); + mat3 mat = mInv * transpose( mat3( T1, T2, N ) ); + vec3 coords[ 4 ]; + coords[ 0 ] = mat * ( rectCoords[ 0 ] - P ); + coords[ 1 ] = mat * ( rectCoords[ 1 ] - P ); + coords[ 2 ] = mat * ( rectCoords[ 2 ] - P ); + coords[ 3 ] = mat * ( rectCoords[ 3 ] - P ); + coords[ 0 ] = normalize( coords[ 0 ] ); + coords[ 1 ] = normalize( coords[ 1 ] ); + coords[ 2 ] = normalize( coords[ 2 ] ); + coords[ 3 ] = normalize( coords[ 3 ] ); + vec3 vectorFormFactor = vec3( 0.0 ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] ); + float result = LTC_ClippedSphereFormFactor( vectorFormFactor ); + return vec3( result ); +} +#if defined( USE_SHEEN ) +float D_Charlie( float roughness, float dotNH ) { + float alpha = pow2( roughness ); + float invAlpha = 1.0 / alpha; + float cos2h = dotNH * dotNH; + float sin2h = max( 1.0 - cos2h, 0.0078125 ); + return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI ); +} +float V_Neubelt( float dotNV, float dotNL ) { + return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) ); +} +vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float D = D_Charlie( sheenRoughness, dotNH ); + float V = V_Neubelt( dotNV, dotNL ); + return sheenColor * ( D * V ); +} +#endif +float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + float r2 = roughness * roughness; + float rInv = 1.0 / ( roughness + 0.1 ); + float a = -1.9362 + 1.0678 * roughness + 0.4573 * r2 - 0.8469 * rInv; + float b = -0.6014 + 0.5538 * roughness - 0.4670 * r2 - 0.1255 * rInv; + float DG = exp( a * dotNV + b ); + return saturate( DG ); +} +vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 fab = texture2D( dfgLUT, vec2( roughness, dotNV ) ).rg; + return specularColor * fab.x + specularF90 * fab.y; +} +#ifdef USE_IRIDESCENCE +void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#else +void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#endif + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 fab = texture2D( dfgLUT, vec2( roughness, dotNV ) ).rg; + #ifdef USE_IRIDESCENCE + vec3 Fr = mix( specularColor, iridescenceF0, iridescence ); + #else + vec3 Fr = specularColor; + #endif + vec3 FssEss = Fr * fab.x + specularF90 * fab.y; + float Ess = fab.x + fab.y; + float Ems = 1.0 - Ess; + vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619; vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg ); + singleScatter += FssEss; + multiScatter += Fms * Ems; +} +vec3 BRDF_GGX_Multiscatter( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 singleScatter = BRDF_GGX( lightDir, viewDir, normal, material ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + vec2 dfgV = texture2D( dfgLUT, vec2( material.roughness, dotNV ) ).rg; + vec2 dfgL = texture2D( dfgLUT, vec2( material.roughness, dotNL ) ).rg; + vec3 FssEss_V = material.specularColorBlended * dfgV.x + material.specularF90 * dfgV.y; + vec3 FssEss_L = material.specularColorBlended * dfgL.x + material.specularF90 * dfgL.y; + float Ess_V = dfgV.x + dfgV.y; + float Ess_L = dfgL.x + dfgL.y; + float Ems_V = 1.0 - Ess_V; + float Ems_L = 1.0 - Ess_L; + vec3 Favg = material.specularColorBlended + ( 1.0 - material.specularColorBlended ) * 0.047619; + vec3 Fms = FssEss_V * FssEss_L * Favg / ( 1.0 - Ems_V * Ems_L * Favg + EPSILON ); + float compensationFactor = Ems_V * Ems_L; + vec3 multiScatter = Fms * compensationFactor; + return singleScatter + multiScatter; +} +#if NUM_RECT_AREA_LIGHTS > 0 + void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 normal = geometryNormal; + vec3 viewDir = geometryViewDir; + vec3 position = geometryPosition; + vec3 lightPos = rectAreaLight.position; + vec3 halfWidth = rectAreaLight.halfWidth; + vec3 halfHeight = rectAreaLight.halfHeight; + vec3 lightColor = rectAreaLight.color; + float roughness = material.roughness; + vec3 rectCoords[ 4 ]; + rectCoords[ 0 ] = lightPos + halfWidth - halfHeight; rectCoords[ 1 ] = lightPos - halfWidth - halfHeight; + rectCoords[ 2 ] = lightPos - halfWidth + halfHeight; + rectCoords[ 3 ] = lightPos + halfWidth + halfHeight; + vec2 uv = LTC_Uv( normal, viewDir, roughness ); + vec4 t1 = texture2D( ltc_1, uv ); + vec4 t2 = texture2D( ltc_2, uv ); + mat3 mInv = mat3( + vec3( t1.x, 0, t1.y ), + vec3( 0, 1, 0 ), + vec3( t1.z, 0, t1.w ) + ); + vec3 fresnel = ( material.specularColorBlended * t2.x + ( vec3( 1.0 ) - material.specularColorBlended ) * t2.y ); + reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords ); + reflectedLight.directDiffuse += lightColor * material.diffuseContribution * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords ); + } +#endif +void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + #ifdef USE_CLEARCOAT + float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) ); + vec3 ccIrradiance = dotNLcc * directLight.color; + clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material ); + #endif + #ifdef USE_SHEEN + + sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness ); + + float sheenAlbedoV = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenAlbedoL = IBLSheenBRDF( geometryNormal, directLight.direction, material.sheenRoughness ); + + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * max( sheenAlbedoV, sheenAlbedoL ); + + irradiance *= sheenEnergyComp; + + #endif + reflectedLight.directSpecular += irradiance * BRDF_GGX_Multiscatter( directLight.direction, geometryViewDir, geometryNormal, material ); + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseContribution ); +} +void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 diffuse = irradiance * BRDF_Lambert( material.diffuseContribution ); + #ifdef USE_SHEEN + float sheenAlbedo = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * sheenAlbedo; + diffuse *= sheenEnergyComp; + #endif + reflectedLight.indirectDiffuse += diffuse; +} +void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) { + #ifdef USE_CLEARCOAT + clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness ); + #endif + #ifdef USE_SHEEN + sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ) * RECIPROCAL_PI; + #endif + vec3 singleScatteringDielectric = vec3( 0.0 ); + vec3 multiScatteringDielectric = vec3( 0.0 ); + vec3 singleScatteringMetallic = vec3( 0.0 ); + vec3 multiScatteringMetallic = vec3( 0.0 ); + #ifdef USE_IRIDESCENCE + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnelDielectric, material.roughness, singleScatteringDielectric, multiScatteringDielectric ); + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.diffuseColor, material.specularF90, material.iridescence, material.iridescenceFresnelMetallic, material.roughness, singleScatteringMetallic, multiScatteringMetallic ); + #else + computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScatteringDielectric, multiScatteringDielectric ); + computeMultiscattering( geometryNormal, geometryViewDir, material.diffuseColor, material.specularF90, material.roughness, singleScatteringMetallic, multiScatteringMetallic ); + #endif + vec3 singleScattering = mix( singleScatteringDielectric, singleScatteringMetallic, material.metalness ); + vec3 multiScattering = mix( multiScatteringDielectric, multiScatteringMetallic, material.metalness ); + vec3 totalScatteringDielectric = singleScatteringDielectric + multiScatteringDielectric; + vec3 diffuse = material.diffuseContribution * ( 1.0 - totalScatteringDielectric ); + vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI; + vec3 indirectSpecular = radiance * singleScattering; + indirectSpecular += multiScattering * cosineWeightedIrradiance; + vec3 indirectDiffuse = diffuse * cosineWeightedIrradiance; + #ifdef USE_SHEEN + float sheenAlbedo = IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + float sheenEnergyComp = 1.0 - max3( material.sheenColor ) * sheenAlbedo; + indirectSpecular *= sheenEnergyComp; + indirectDiffuse *= sheenEnergyComp; + #endif + reflectedLight.indirectSpecular += indirectSpecular; + reflectedLight.indirectDiffuse += indirectDiffuse; +} +#define RE_Direct RE_Direct_Physical +#define RE_Direct_RectArea RE_Direct_RectArea_Physical +#define RE_IndirectDiffuse RE_IndirectDiffuse_Physical +#define RE_IndirectSpecular RE_IndirectSpecular_Physical +float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) { + return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion ); +}`,WL=` +vec3 geometryPosition = - vViewPosition; +vec3 geometryNormal = normal; +vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition ); +vec3 geometryClearcoatNormal = vec3( 0.0 ); +#ifdef USE_CLEARCOAT + geometryClearcoatNormal = clearcoatNormal; +#endif +#ifdef USE_IRIDESCENCE + float dotNVi = saturate( dot( normal, geometryViewDir ) ); + if ( material.iridescenceThickness == 0.0 ) { + material.iridescence = 0.0; + } else { + material.iridescence = saturate( material.iridescence ); + } + if ( material.iridescence > 0.0 ) { + material.iridescenceFresnelDielectric = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor ); + material.iridescenceFresnelMetallic = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.diffuseColor ); + material.iridescenceFresnel = mix( material.iridescenceFresnelDielectric, material.iridescenceFresnelMetallic, material.metalness ); + material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi ); + } +#endif +IncidentLight directLight; +#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct ) + PointLight pointLight; + #if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) { + pointLight = pointLights[ i ]; + getPointLightInfo( pointLight, geometryPosition, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS ) && ( defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_BASIC ) ) + pointLightShadow = pointLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowIntensity, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct ) + SpotLight spotLight; + vec4 spotColor; + vec3 spotLightCoord; + bool inSpotLightMap; + #if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) { + spotLight = spotLights[ i ]; + getSpotLightInfo( spotLight, geometryPosition, directLight ); + #if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX + #elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + #define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS + #else + #define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #endif + #if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS ) + spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w; + inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) ); + spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy ); + directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color; + #endif + #undef SPOT_LIGHT_MAP_INDEX + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + spotLightShadow = spotLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowIntensity, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct ) + DirectionalLight directionalLight; + #if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) { + directionalLight = directionalLights[ i ]; + getDirectionalLightInfo( directionalLight, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS ) + directionalLightShadow = directionalLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowIntensity, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea ) + RectAreaLight rectAreaLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) { + rectAreaLight = rectAreaLights[ i ]; + RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if defined( RE_IndirectDiffuse ) + vec3 iblIrradiance = vec3( 0.0 ); + vec3 irradiance = getAmbientLightIrradiance( ambientLightColor ); + #if defined( USE_LIGHT_PROBES ) + irradiance += getLightProbeIrradiance( lightProbe, geometryNormal ); + #endif + #if ( NUM_HEMI_LIGHTS > 0 ) + #pragma unroll_loop_start + for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) { + irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal ); + } + #pragma unroll_loop_end + #endif +#endif +#if defined( RE_IndirectSpecular ) + vec3 radiance = vec3( 0.0 ); + vec3 clearcoatRadiance = vec3( 0.0 ); +#endif`,qL=`#if defined( RE_IndirectDiffuse ) + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + irradiance += lightMapIrradiance; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV ) + iblIrradiance += getIBLIrradiance( geometryNormal ); + #endif +#endif +#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular ) + #ifdef USE_ANISOTROPY + radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy ); + #else + radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness ); + #endif + #ifdef USE_CLEARCOAT + clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness ); + #endif +#endif`,jL=`#if defined( RE_IndirectDiffuse ) + RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif +#if defined( RE_IndirectSpecular ) + RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif`,YL=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER ) + gl_FragDepth = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5; +#endif`,ZL=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER ) + uniform float logDepthBufFC; + varying float vFragDepth; + varying float vIsPerspective; +#endif`,QL=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER + varying float vFragDepth; + varying float vIsPerspective; +#endif`,KL=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER + vFragDepth = 1.0 + gl_Position.w; + vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) ); +#endif`,JL=`#ifdef USE_MAP + vec4 sampledDiffuseColor = texture2D( map, vMapUv ); + #ifdef DECODE_VIDEO_TEXTURE + sampledDiffuseColor = sRGBTransferEOTF( sampledDiffuseColor ); + #endif + diffuseColor *= sampledDiffuseColor; +#endif`,$L=`#ifdef USE_MAP + uniform sampler2D map; +#endif`,eU=`#if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + #if defined( USE_POINTS_UV ) + vec2 uv = vUv; + #else + vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy; + #endif +#endif +#ifdef USE_MAP + diffuseColor *= texture2D( map, uv ); +#endif +#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, uv ).g; +#endif`,tU=`#if defined( USE_POINTS_UV ) + varying vec2 vUv; +#else + #if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + uniform mat3 uvTransform; + #endif +#endif +#ifdef USE_MAP + uniform sampler2D map; +#endif +#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`,nU=`float metalnessFactor = metalness; +#ifdef USE_METALNESSMAP + vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv ); + metalnessFactor *= texelMetalness.b; +#endif`,iU=`#ifdef USE_METALNESSMAP + uniform sampler2D metalnessMap; +#endif`,aU=`#ifdef USE_INSTANCING_MORPH + float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + float morphTargetBaseInfluence = texelFetch( morphTexture, ivec2( 0, gl_InstanceID ), 0 ).r; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + morphTargetInfluences[i] = texelFetch( morphTexture, ivec2( i + 1, gl_InstanceID ), 0 ).r; + } +#endif`,sU=`#if defined( USE_MORPHCOLORS ) + vColor *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + #if defined( USE_COLOR_ALPHA ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ]; + #elif defined( USE_COLOR ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ]; + #endif + } +#endif`,rU=`#ifdef USE_MORPHNORMALS + objectNormal *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ]; + } +#endif`,oU=`#ifdef USE_MORPHTARGETS + #ifndef USE_INSTANCING_MORPH + uniform float morphTargetBaseInfluence; + uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + #endif + uniform sampler2DArray morphTargetsTexture; + uniform ivec2 morphTargetsTextureSize; + vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) { + int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset; + int y = texelIndex / morphTargetsTextureSize.x; + int x = texelIndex - y * morphTargetsTextureSize.x; + ivec3 morphUV = ivec3( x, y, morphTargetIndex ); + return texelFetch( morphTargetsTexture, morphUV, 0 ); + } +#endif`,lU=`#ifdef USE_MORPHTARGETS + transformed *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ]; + } +#endif`,uU=`float faceDirection = gl_FrontFacing ? 1.0 : - 1.0; +#ifdef FLAT_SHADED + vec3 fdx = dFdx( vViewPosition ); + vec3 fdy = dFdy( vViewPosition ); + vec3 normal = normalize( cross( fdx, fdy ) ); +#else + vec3 normal = normalize( vNormal ); + #ifdef DOUBLE_SIDED + normal *= faceDirection; + #endif +#endif +#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) + #ifdef USE_TANGENT + mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn = getTangentFrame( - vViewPosition, normal, + #if defined( USE_NORMALMAP ) + vNormalMapUv + #elif defined( USE_CLEARCOAT_NORMALMAP ) + vClearcoatNormalMapUv + #else + vUv + #endif + ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn[0] *= faceDirection; + tbn[1] *= faceDirection; + #endif +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + #ifdef USE_TANGENT + mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn2[0] *= faceDirection; + tbn2[1] *= faceDirection; + #endif +#endif +vec3 nonPerturbedNormal = normal;`,cU=`#ifdef USE_NORMALMAP_OBJECTSPACE + normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + #ifdef FLIP_SIDED + normal = - normal; + #endif + #ifdef DOUBLE_SIDED + normal = normal * faceDirection; + #endif + normal = normalize( normalMatrix * normal ); +#elif defined( USE_NORMALMAP_TANGENTSPACE ) + vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + mapN.xy *= normalScale; + normal = normalize( tbn * mapN ); +#elif defined( USE_BUMPMAP ) + normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection ); +#endif`,fU=`#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`,hU=`#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`,dU=`#ifndef FLAT_SHADED + vNormal = normalize( transformedNormal ); + #ifdef USE_TANGENT + vTangent = normalize( transformedTangent ); + vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w ); + #endif +#endif`,pU=`#ifdef USE_NORMALMAP + uniform sampler2D normalMap; + uniform vec2 normalScale; +#endif +#ifdef USE_NORMALMAP_OBJECTSPACE + uniform mat3 normalMatrix; +#endif +#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) ) + mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) { + vec3 q0 = dFdx( eye_pos.xyz ); + vec3 q1 = dFdy( eye_pos.xyz ); + vec2 st0 = dFdx( uv.st ); + vec2 st1 = dFdy( uv.st ); + vec3 N = surf_norm; + vec3 q1perp = cross( q1, N ); + vec3 q0perp = cross( N, q0 ); + vec3 T = q1perp * st0.x + q0perp * st1.x; + vec3 B = q1perp * st0.y + q0perp * st1.y; + float det = max( dot( T, T ), dot( B, B ) ); + float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det ); + return mat3( T * scale, B * scale, N ); + } +#endif`,mU=`#ifdef USE_CLEARCOAT + vec3 clearcoatNormal = nonPerturbedNormal; +#endif`,gU=`#ifdef USE_CLEARCOAT_NORMALMAP + vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0; + clearcoatMapN.xy *= clearcoatNormalScale; + clearcoatNormal = normalize( tbn2 * clearcoatMapN ); +#endif`,vU=`#ifdef USE_CLEARCOATMAP + uniform sampler2D clearcoatMap; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform sampler2D clearcoatNormalMap; + uniform vec2 clearcoatNormalScale; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform sampler2D clearcoatRoughnessMap; +#endif`,yU=`#ifdef USE_IRIDESCENCEMAP + uniform sampler2D iridescenceMap; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform sampler2D iridescenceThicknessMap; +#endif`,_U=`#ifdef OPAQUE +diffuseColor.a = 1.0; +#endif +#ifdef USE_TRANSMISSION +diffuseColor.a *= material.transmissionAlpha; +#endif +gl_FragColor = vec4( outgoingLight, diffuseColor.a );`,xU=`vec3 packNormalToRGB( const in vec3 normal ) { + return normalize( normal ) * 0.5 + 0.5; +} +vec3 unpackRGBToNormal( const in vec3 rgb ) { + return 2.0 * rgb.xyz - 1.0; +} +const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;const float ShiftRight8 = 1. / 256.; +const float Inv255 = 1. / 255.; +const vec4 PackFactors = vec4( 1.0, 256.0, 256.0 * 256.0, 256.0 * 256.0 * 256.0 ); +const vec2 UnpackFactors2 = vec2( UnpackDownscale, 1.0 / PackFactors.g ); +const vec3 UnpackFactors3 = vec3( UnpackDownscale / PackFactors.rg, 1.0 / PackFactors.b ); +const vec4 UnpackFactors4 = vec4( UnpackDownscale / PackFactors.rgb, 1.0 / PackFactors.a ); +vec4 packDepthToRGBA( const in float v ) { + if( v <= 0.0 ) + return vec4( 0., 0., 0., 0. ); + if( v >= 1.0 ) + return vec4( 1., 1., 1., 1. ); + float vuf; + float af = modf( v * PackFactors.a, vuf ); + float bf = modf( vuf * ShiftRight8, vuf ); + float gf = modf( vuf * ShiftRight8, vuf ); + return vec4( vuf * Inv255, gf * PackUpscale, bf * PackUpscale, af ); +} +vec3 packDepthToRGB( const in float v ) { + if( v <= 0.0 ) + return vec3( 0., 0., 0. ); + if( v >= 1.0 ) + return vec3( 1., 1., 1. ); + float vuf; + float bf = modf( v * PackFactors.b, vuf ); + float gf = modf( vuf * ShiftRight8, vuf ); + return vec3( vuf * Inv255, gf * PackUpscale, bf ); +} +vec2 packDepthToRG( const in float v ) { + if( v <= 0.0 ) + return vec2( 0., 0. ); + if( v >= 1.0 ) + return vec2( 1., 1. ); + float vuf; + float gf = modf( v * 256., vuf ); + return vec2( vuf * Inv255, gf ); +} +float unpackRGBAToDepth( const in vec4 v ) { + return dot( v, UnpackFactors4 ); +} +float unpackRGBToDepth( const in vec3 v ) { + return dot( v, UnpackFactors3 ); +} +float unpackRGToDepth( const in vec2 v ) { + return v.r * UnpackFactors2.r + v.g * UnpackFactors2.g; +} +vec4 pack2HalfToRGBA( const in vec2 v ) { + vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) ); + return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w ); +} +vec2 unpackRGBATo2Half( const in vec4 v ) { + return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) ); +} +float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) { + return ( viewZ + near ) / ( near - far ); +} +float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) { + return depth * ( near - far ) - near; +} +float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) { + return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ ); +} +float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) { + return ( near * far ) / ( ( far - near ) * depth - far ); +}`,bU=`#ifdef PREMULTIPLIED_ALPHA + gl_FragColor.rgb *= gl_FragColor.a; +#endif`,SU=`vec4 mvPosition = vec4( transformed, 1.0 ); +#ifdef USE_BATCHING + mvPosition = batchingMatrix * mvPosition; +#endif +#ifdef USE_INSTANCING + mvPosition = instanceMatrix * mvPosition; +#endif +mvPosition = modelViewMatrix * mvPosition; +gl_Position = projectionMatrix * mvPosition;`,MU=`#ifdef DITHERING + gl_FragColor.rgb = dithering( gl_FragColor.rgb ); +#endif`,EU=`#ifdef DITHERING + vec3 dithering( vec3 color ) { + float grid_position = rand( gl_FragCoord.xy ); + vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 ); + dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position ); + return color + dither_shift_RGB; + } +#endif`,TU=`float roughnessFactor = roughness; +#ifdef USE_ROUGHNESSMAP + vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv ); + roughnessFactor *= texelRoughness.g; +#endif`,AU=`#ifdef USE_ROUGHNESSMAP + uniform sampler2D roughnessMap; +#endif`,wU=`#if NUM_SPOT_LIGHT_COORDS > 0 + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#if NUM_SPOT_LIGHT_MAPS > 0 + uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform sampler2DShadow directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + #else + uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform sampler2DShadow spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + #else + uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + struct SpotLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + uniform samplerCubeShadow pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + #elif defined( SHADOWMAP_TYPE_BASIC ) + uniform samplerCube pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + #if defined( SHADOWMAP_TYPE_PCF ) + float interleavedGradientNoise( vec2 position ) { + return fract( 52.9829189 * fract( dot( position, vec2( 0.06711056, 0.00583715 ) ) ) ); + } + vec2 vogelDiskSample( int sampleIndex, int samplesCount, float phi ) { + const float goldenAngle = 2.399963229728653; + float r = sqrt( ( float( sampleIndex ) + 0.5 ) / float( samplesCount ) ); + float theta = float( sampleIndex ) * goldenAngle + phi; + return vec2( cos( theta ), sin( theta ) ) * r; + } + #endif + #if defined( SHADOWMAP_TYPE_PCF ) + float getShadow( sampler2DShadow shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float radius = shadowRadius * texelSize.x; + float phi = interleavedGradientNoise( gl_FragCoord.xy ) * 6.28318530718; + shadow = ( + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 0, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 1, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 2, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 3, 5, phi ) * radius, shadowCoord.z ) ) + + texture( shadowMap, vec3( shadowCoord.xy + vogelDiskSample( 4, 5, phi ) * radius, shadowCoord.z ) ) + ) * 0.2; + } + return mix( 1.0, shadow, shadowIntensity ); + } + #elif defined( SHADOWMAP_TYPE_VSM ) + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + vec2 distribution = texture2D( shadowMap, shadowCoord.xy ).rg; + float mean = distribution.x; + float variance = distribution.y * distribution.y; + #ifdef USE_REVERSED_DEPTH_BUFFER + float hard_shadow = step( mean, shadowCoord.z ); + #else + float hard_shadow = step( shadowCoord.z, mean ); + #endif + if ( hard_shadow == 1.0 ) { + shadow = 1.0; + } else { + variance = max( variance, 0.0000001 ); + float d = shadowCoord.z - mean; + float p_max = variance / ( variance + d * d ); + p_max = clamp( ( p_max - 0.3 ) / 0.65, 0.0, 1.0 ); + shadow = max( hard_shadow, p_max ); + } + } + return mix( 1.0, shadow, shadowIntensity ); + } + #else + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + float depth = texture2D( shadowMap, shadowCoord.xy ).r; + #ifdef USE_REVERSED_DEPTH_BUFFER + shadow = step( depth, shadowCoord.z ); + #else + shadow = step( shadowCoord.z, depth ); + #endif + } + return mix( 1.0, shadow, shadowIntensity ); + } + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #if defined( SHADOWMAP_TYPE_PCF ) + float getPointShadow( samplerCubeShadow shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + float shadow = 1.0; + vec3 lightToPosition = shadowCoord.xyz; + vec3 bd3D = normalize( lightToPosition ); + vec3 absVec = abs( lightToPosition ); + float viewSpaceZ = max( max( absVec.x, absVec.y ), absVec.z ); + if ( viewSpaceZ - shadowCameraFar <= 0.0 && viewSpaceZ - shadowCameraNear >= 0.0 ) { + float dp = ( shadowCameraFar * ( viewSpaceZ - shadowCameraNear ) ) / ( viewSpaceZ * ( shadowCameraFar - shadowCameraNear ) ); + dp += shadowBias; + float texelSize = shadowRadius / shadowMapSize.x; + vec3 absDir = abs( bd3D ); + vec3 tangent = absDir.x > absDir.z ? vec3( 0.0, 1.0, 0.0 ) : vec3( 1.0, 0.0, 0.0 ); + tangent = normalize( cross( bd3D, tangent ) ); + vec3 bitangent = cross( bd3D, tangent ); + float phi = interleavedGradientNoise( gl_FragCoord.xy ) * 6.28318530718; + shadow = ( + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 0, 5, phi ).x + bitangent * vogelDiskSample( 0, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 1, 5, phi ).x + bitangent * vogelDiskSample( 1, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 2, 5, phi ).x + bitangent * vogelDiskSample( 2, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 3, 5, phi ).x + bitangent * vogelDiskSample( 3, 5, phi ).y ) * texelSize, dp ) ) + + texture( shadowMap, vec4( bd3D + ( tangent * vogelDiskSample( 4, 5, phi ).x + bitangent * vogelDiskSample( 4, 5, phi ).y ) * texelSize, dp ) ) + ) * 0.2; + } + return mix( 1.0, shadow, shadowIntensity ); + } + #elif defined( SHADOWMAP_TYPE_BASIC ) + float getPointShadow( samplerCube shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + float shadow = 1.0; + vec3 lightToPosition = shadowCoord.xyz; + vec3 bd3D = normalize( lightToPosition ); + vec3 absVec = abs( lightToPosition ); + float viewSpaceZ = max( max( absVec.x, absVec.y ), absVec.z ); + if ( viewSpaceZ - shadowCameraFar <= 0.0 && viewSpaceZ - shadowCameraNear >= 0.0 ) { + float dp = ( shadowCameraFar * ( viewSpaceZ - shadowCameraNear ) ) / ( viewSpaceZ * ( shadowCameraFar - shadowCameraNear ) ); + dp += shadowBias; + float depth = textureCube( shadowMap, bd3D ).r; + #ifdef USE_REVERSED_DEPTH_BUFFER + shadow = step( depth, dp ); + #else + shadow = step( dp, depth ); + #endif + } + return mix( 1.0, shadow, shadowIntensity ); + } + #endif + #endif +#endif`,CU=`#if NUM_SPOT_LIGHT_COORDS > 0 + uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ]; + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + struct SpotLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowIntensity; + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif +#endif`,RU=`#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 ) + vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + vec4 shadowWorldPosition; +#endif +#if defined( USE_SHADOWMAP ) + #if NUM_DIR_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 ); + vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 ); + vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif +#endif +#if NUM_SPOT_LIGHT_COORDS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) { + shadowWorldPosition = worldPosition; + #if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias; + #endif + vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end +#endif`,NU=`float getShadowMask() { + float shadow = 1.0; + #ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + directionalLight = directionalLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowIntensity, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) { + spotLight = spotLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowIntensity, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 && ( defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_BASIC ) ) + PointLightShadow pointLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + pointLight = pointLightShadows[ i ]; + shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowIntensity, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0; + } + #pragma unroll_loop_end + #endif + #endif + return shadow; +}`,DU=`#ifdef USE_SKINNING + mat4 boneMatX = getBoneMatrix( skinIndex.x ); + mat4 boneMatY = getBoneMatrix( skinIndex.y ); + mat4 boneMatZ = getBoneMatrix( skinIndex.z ); + mat4 boneMatW = getBoneMatrix( skinIndex.w ); +#endif`,LU=`#ifdef USE_SKINNING + uniform mat4 bindMatrix; + uniform mat4 bindMatrixInverse; + uniform highp sampler2D boneTexture; + mat4 getBoneMatrix( const in float i ) { + int size = textureSize( boneTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`,UU=`#ifdef USE_SKINNING + vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 ); + vec4 skinned = vec4( 0.0 ); + skinned += boneMatX * skinVertex * skinWeight.x; + skinned += boneMatY * skinVertex * skinWeight.y; + skinned += boneMatZ * skinVertex * skinWeight.z; + skinned += boneMatW * skinVertex * skinWeight.w; + transformed = ( bindMatrixInverse * skinned ).xyz; +#endif`,IU=`#ifdef USE_SKINNING + mat4 skinMatrix = mat4( 0.0 ); + skinMatrix += skinWeight.x * boneMatX; + skinMatrix += skinWeight.y * boneMatY; + skinMatrix += skinWeight.z * boneMatZ; + skinMatrix += skinWeight.w * boneMatW; + skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix; + objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz; + #ifdef USE_TANGENT + objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz; + #endif +#endif`,OU=`float specularStrength; +#ifdef USE_SPECULARMAP + vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv ); + specularStrength = texelSpecular.r; +#else + specularStrength = 1.0; +#endif`,PU=`#ifdef USE_SPECULARMAP + uniform sampler2D specularMap; +#endif`,zU=`#if defined( TONE_MAPPING ) + gl_FragColor.rgb = toneMapping( gl_FragColor.rgb ); +#endif`,BU=`#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +uniform float toneMappingExposure; +vec3 LinearToneMapping( vec3 color ) { + return saturate( toneMappingExposure * color ); +} +vec3 ReinhardToneMapping( vec3 color ) { + color *= toneMappingExposure; + return saturate( color / ( vec3( 1.0 ) + color ) ); +} +vec3 CineonToneMapping( vec3 color ) { + color *= toneMappingExposure; + color = max( vec3( 0.0 ), color - 0.004 ); + return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) ); +} +vec3 RRTAndODTFit( vec3 v ) { + vec3 a = v * ( v + 0.0245786 ) - 0.000090537; + vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081; + return a / b; +} +vec3 ACESFilmicToneMapping( vec3 color ) { + const mat3 ACESInputMat = mat3( + vec3( 0.59719, 0.07600, 0.02840 ), vec3( 0.35458, 0.90834, 0.13383 ), + vec3( 0.04823, 0.01566, 0.83777 ) + ); + const mat3 ACESOutputMat = mat3( + vec3( 1.60475, -0.10208, -0.00327 ), vec3( -0.53108, 1.10813, -0.07276 ), + vec3( -0.07367, -0.00605, 1.07602 ) + ); + color *= toneMappingExposure / 0.6; + color = ACESInputMat * color; + color = RRTAndODTFit( color ); + color = ACESOutputMat * color; + return saturate( color ); +} +const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3( + vec3( 1.6605, - 0.1246, - 0.0182 ), + vec3( - 0.5876, 1.1329, - 0.1006 ), + vec3( - 0.0728, - 0.0083, 1.1187 ) +); +const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3( + vec3( 0.6274, 0.0691, 0.0164 ), + vec3( 0.3293, 0.9195, 0.0880 ), + vec3( 0.0433, 0.0113, 0.8956 ) +); +vec3 agxDefaultContrastApprox( vec3 x ) { + vec3 x2 = x * x; + vec3 x4 = x2 * x2; + return + 15.5 * x4 * x2 + - 40.14 * x4 * x + + 31.96 * x4 + - 6.868 * x2 * x + + 0.4298 * x2 + + 0.1191 * x + - 0.00232; +} +vec3 AgXToneMapping( vec3 color ) { + const mat3 AgXInsetMatrix = mat3( + vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ), + vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ), + vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 ) + ); + const mat3 AgXOutsetMatrix = mat3( + vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ), + vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ), + vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 ) + ); + const float AgxMinEv = - 12.47393; const float AgxMaxEv = 4.026069; + color *= toneMappingExposure; + color = LINEAR_SRGB_TO_LINEAR_REC2020 * color; + color = AgXInsetMatrix * color; + color = max( color, 1e-10 ); color = log2( color ); + color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv ); + color = clamp( color, 0.0, 1.0 ); + color = agxDefaultContrastApprox( color ); + color = AgXOutsetMatrix * color; + color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) ); + color = LINEAR_REC2020_TO_LINEAR_SRGB * color; + color = clamp( color, 0.0, 1.0 ); + return color; +} +vec3 NeutralToneMapping( vec3 color ) { + const float StartCompression = 0.8 - 0.04; + const float Desaturation = 0.15; + color *= toneMappingExposure; + float x = min( color.r, min( color.g, color.b ) ); + float offset = x < 0.08 ? x - 6.25 * x * x : 0.04; + color -= offset; + float peak = max( color.r, max( color.g, color.b ) ); + if ( peak < StartCompression ) return color; + float d = 1. - StartCompression; + float newPeak = 1. - d * d / ( peak + d - StartCompression ); + color *= newPeak / peak; + float g = 1. - 1. / ( Desaturation * ( peak - newPeak ) + 1. ); + return mix( color, vec3( newPeak ), g ); +} +vec3 CustomToneMapping( vec3 color ) { return color; }`,FU=`#ifdef USE_TRANSMISSION + material.transmission = transmission; + material.transmissionAlpha = 1.0; + material.thickness = thickness; + material.attenuationDistance = attenuationDistance; + material.attenuationColor = attenuationColor; + #ifdef USE_TRANSMISSIONMAP + material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + #endif + #ifdef USE_THICKNESSMAP + material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + #endif + vec3 pos = vWorldPosition; + vec3 v = normalize( cameraPosition - pos ); + vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec4 transmitted = getIBLVolumeRefraction( + n, v, material.roughness, material.diffuseContribution, material.specularColorBlended, material.specularF90, + pos, modelMatrix, viewMatrix, projectionMatrix, material.dispersion, material.ior, material.thickness, + material.attenuationColor, material.attenuationDistance ); + material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission ); +#endif`,kU=`#ifdef USE_TRANSMISSION + uniform float transmission; + uniform float thickness; + uniform float attenuationDistance; + uniform vec3 attenuationColor; + #ifdef USE_TRANSMISSIONMAP + uniform sampler2D transmissionMap; + #endif + #ifdef USE_THICKNESSMAP + uniform sampler2D thicknessMap; + #endif + uniform vec2 transmissionSamplerSize; + uniform sampler2D transmissionSamplerMap; + uniform mat4 modelMatrix; + uniform mat4 projectionMatrix; + varying vec3 vWorldPosition; + float w0( float a ) { + return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + } + float w1( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); + } + float w2( float a ){ + return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + } + float w3( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * a ); + } + float g0( float a ) { + return w0( a ) + w1( a ); + } + float g1( float a ) { + return w2( a ) + w3( a ); + } + float h0( float a ) { + return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); + } + float h1( float a ) { + return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); + } + vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { + uv = uv * texelSize.zw + 0.5; + vec2 iuv = floor( uv ); + vec2 fuv = fract( uv ); + float g0x = g0( fuv.x ); + float g1x = g1( fuv.x ); + float h0x = h0( fuv.x ); + float h1x = h1( fuv.x ); + float h0y = h0( fuv.y ); + float h1y = h1( fuv.y ); + vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + + g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + } + vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { + vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); + vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); + vec2 fLodSizeInv = 1.0 / fLodSize; + vec2 cLodSizeInv = 1.0 / cLodSize; + vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); + vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); + return mix( fSample, cSample, fract( lod ) ); + } + vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { + vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + vec3 modelScale; + modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); + modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); + modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + return normalize( refractionVector ) * thickness * modelScale; + } + float applyIorToRoughness( const in float roughness, const in float ior ) { + return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); + } + vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); + return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + } + vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + if ( isinf( attenuationDistance ) ) { + return vec3( 1.0 ); + } else { + vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; + vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); return transmittance; + } + } + vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, + const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, + const in mat4 viewMatrix, const in mat4 projMatrix, const in float dispersion, const in float ior, const in float thickness, + const in vec3 attenuationColor, const in float attenuationDistance ) { + vec4 transmittedLight; + vec3 transmittance; + #ifdef USE_DISPERSION + float halfSpread = ( ior - 1.0 ) * 0.025 * dispersion; + vec3 iors = vec3( ior - halfSpread, ior, ior + halfSpread ); + for ( int i = 0; i < 3; i ++ ) { + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, iors[ i ], modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + vec4 transmissionSample = getTransmissionSample( refractionCoords, roughness, iors[ i ] ); + transmittedLight[ i ] = transmissionSample[ i ]; + transmittedLight.a += transmissionSample.a; + transmittance[ i ] = diffuseColor[ i ] * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance )[ i ]; + } + transmittedLight.a /= 3.0; + #else + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); + #endif + vec3 attenuatedColor = transmittance * transmittedLight.rgb; + vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + } +#endif`,VU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + varying vec2 vNormalMapUv; +#endif +#ifdef USE_EMISSIVEMAP + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_SPECULARMAP + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`,HU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + uniform mat3 mapTransform; + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + uniform mat3 alphaMapTransform; + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + uniform mat3 lightMapTransform; + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + uniform mat3 aoMapTransform; + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + uniform mat3 bumpMapTransform; + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + uniform mat3 normalMapTransform; + varying vec2 vNormalMapUv; +#endif +#ifdef USE_DISPLACEMENTMAP + uniform mat3 displacementMapTransform; + varying vec2 vDisplacementMapUv; +#endif +#ifdef USE_EMISSIVEMAP + uniform mat3 emissiveMapTransform; + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + uniform mat3 metalnessMapTransform; + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + uniform mat3 roughnessMapTransform; + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + uniform mat3 anisotropyMapTransform; + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + uniform mat3 clearcoatMapTransform; + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform mat3 clearcoatNormalMapTransform; + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform mat3 clearcoatRoughnessMapTransform; + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + uniform mat3 sheenColorMapTransform; + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + uniform mat3 sheenRoughnessMapTransform; + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + uniform mat3 iridescenceMapTransform; + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform mat3 iridescenceThicknessMapTransform; + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SPECULARMAP + uniform mat3 specularMapTransform; + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + uniform mat3 specularColorMapTransform; + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + uniform mat3 specularIntensityMapTransform; + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`,GU=`#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + vUv = vec3( uv, 1 ).xy; +#endif +#ifdef USE_MAP + vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ALPHAMAP + vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_LIGHTMAP + vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_AOMAP + vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_BUMPMAP + vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_NORMALMAP + vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_DISPLACEMENTMAP + vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_EMISSIVEMAP + vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_METALNESSMAP + vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ROUGHNESSMAP + vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ANISOTROPYMAP + vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOATMAP + vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCEMAP + vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_COLORMAP + vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULARMAP + vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_COLORMAP + vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_TRANSMISSIONMAP + vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_THICKNESSMAP + vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy; +#endif`,XU=`#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0 + vec4 worldPosition = vec4( transformed, 1.0 ); + #ifdef USE_BATCHING + worldPosition = batchingMatrix * worldPosition; + #endif + #ifdef USE_INSTANCING + worldPosition = instanceMatrix * worldPosition; + #endif + worldPosition = modelMatrix * worldPosition; +#endif`;const WU=`varying vec2 vUv; +uniform mat3 uvTransform; +void main() { + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + gl_Position = vec4( position.xy, 1.0, 1.0 ); +}`,qU=`uniform sampler2D t2D; +uniform float backgroundIntensity; +varying vec2 vUv; +void main() { + vec4 texColor = texture2D( t2D, vUv ); + #ifdef DECODE_VIDEO_TEXTURE + texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`,jU=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`,YU=`#ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; +#elif defined( ENVMAP_TYPE_CUBE_UV ) + uniform sampler2D envMap; +#endif +uniform float flipEnvMap; +uniform float backgroundBlurriness; +uniform float backgroundIntensity; +uniform mat3 backgroundRotation; +varying vec3 vWorldDirection; +#include +void main() { + #ifdef ENVMAP_TYPE_CUBE + vec4 texColor = textureCube( envMap, backgroundRotation * vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) ); + #elif defined( ENVMAP_TYPE_CUBE_UV ) + vec4 texColor = textureCubeUV( envMap, backgroundRotation * vWorldDirection, backgroundBlurriness ); + #else + vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`,ZU=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`,QU=`uniform samplerCube tCube; +uniform float tFlip; +uniform float opacity; +varying vec3 vWorldDirection; +void main() { + vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) ); + gl_FragColor = texColor; + gl_FragColor.a *= opacity; + #include + #include +}`,KU=`#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vHighPrecisionZW = gl_Position.zw; +}`,JU=`#if DEPTH_PACKING == 3200 + uniform float opacity; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + vec4 diffuseColor = vec4( 1.0 ); + #include + #if DEPTH_PACKING == 3200 + diffuseColor.a = opacity; + #endif + #include + #include + #include + #include + #include + #ifdef USE_REVERSED_DEPTH_BUFFER + float fragCoordZ = vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ]; + #else + float fragCoordZ = 0.5 * vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ] + 0.5; + #endif + #if DEPTH_PACKING == 3200 + gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity ); + #elif DEPTH_PACKING == 3201 + gl_FragColor = packDepthToRGBA( fragCoordZ ); + #elif DEPTH_PACKING == 3202 + gl_FragColor = vec4( packDepthToRGB( fragCoordZ ), 1.0 ); + #elif DEPTH_PACKING == 3203 + gl_FragColor = vec4( packDepthToRG( fragCoordZ ), 0.0, 1.0 ); + #endif +}`,$U=`#define DISTANCE +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vWorldPosition = worldPosition.xyz; +}`,eI=`#define DISTANCE +uniform vec3 referencePosition; +uniform float nearDistance; +uniform float farDistance; +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main () { + vec4 diffuseColor = vec4( 1.0 ); + #include + #include + #include + #include + #include + float dist = length( vWorldPosition - referencePosition ); + dist = ( dist - nearDistance ) / ( farDistance - nearDistance ); + dist = saturate( dist ); + gl_FragColor = vec4( dist, 0.0, 0.0, 1.0 ); +}`,tI=`varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include +}`,nI=`uniform sampler2D tEquirect; +varying vec3 vWorldDirection; +#include +void main() { + vec3 direction = normalize( vWorldDirection ); + vec2 sampleUV = equirectUv( direction ); + gl_FragColor = texture2D( tEquirect, sampleUV ); + #include + #include +}`,iI=`uniform float scale; +attribute float lineDistance; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vLineDistance = scale * lineDistance; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,aI=`uniform vec3 diffuse; +uniform float opacity; +uniform float dashSize; +uniform float totalSize; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + if ( mod( vLineDistance, totalSize ) > dashSize ) { + discard; + } + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`,sI=`#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #if defined ( USE_ENVMAP ) || defined ( USE_SKINNING ) + #include + #include + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,rI=`uniform vec3 diffuse; +uniform float opacity; +#ifndef FLAT_SHADED + varying vec3 vNormal; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI; + #else + reflectedLight.indirectDiffuse += vec3( 1.0 ); + #endif + #include + reflectedLight.indirectDiffuse *= diffuseColor.rgb; + vec3 outgoingLight = reflectedLight.indirectDiffuse; + #include + #include + #include + #include + #include + #include + #include +}`,oI=`#define LAMBERT +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`,lI=`#define LAMBERT +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`,uI=`#define MATCAP +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; +}`,cI=`#define MATCAP +uniform vec3 diffuse; +uniform float opacity; +uniform sampler2D matcap; +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 viewDir = normalize( vViewPosition ); + vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) ); + vec3 y = cross( viewDir, x ); + vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; + #ifdef USE_MATCAP + vec4 matcapColor = texture2D( matcap, uv ); + #else + vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 ); + #endif + vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb; + #include + #include + #include + #include + #include + #include +}`,fI=`#define NORMAL +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + vViewPosition = - mvPosition.xyz; +#endif +}`,hI=`#define NORMAL +uniform float opacity; +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( 0.0, 0.0, 0.0, opacity ); + #include + #include + #include + #include + gl_FragColor = vec4( normalize( normal ) * 0.5 + 0.5, diffuseColor.a ); + #ifdef OPAQUE + gl_FragColor.a = 1.0; + #endif +}`,dI=`#define PHONG +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`,pI=`#define PHONG +uniform vec3 diffuse; +uniform vec3 emissive; +uniform vec3 specular; +uniform float shininess; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`,mI=`#define STANDARD +varying vec3 vViewPosition; +#ifdef USE_TRANSMISSION + varying vec3 vWorldPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +#ifdef USE_TRANSMISSION + vWorldPosition = worldPosition.xyz; +#endif +}`,gI=`#define STANDARD +#ifdef PHYSICAL + #define IOR + #define USE_SPECULAR +#endif +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float roughness; +uniform float metalness; +uniform float opacity; +#ifdef IOR + uniform float ior; +#endif +#ifdef USE_SPECULAR + uniform float specularIntensity; + uniform vec3 specularColor; + #ifdef USE_SPECULAR_COLORMAP + uniform sampler2D specularColorMap; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + uniform sampler2D specularIntensityMap; + #endif +#endif +#ifdef USE_CLEARCOAT + uniform float clearcoat; + uniform float clearcoatRoughness; +#endif +#ifdef USE_DISPERSION + uniform float dispersion; +#endif +#ifdef USE_IRIDESCENCE + uniform float iridescence; + uniform float iridescenceIOR; + uniform float iridescenceThicknessMinimum; + uniform float iridescenceThicknessMaximum; +#endif +#ifdef USE_SHEEN + uniform vec3 sheenColor; + uniform float sheenRoughness; + #ifdef USE_SHEEN_COLORMAP + uniform sampler2D sheenColorMap; + #endif + #ifdef USE_SHEEN_ROUGHNESSMAP + uniform sampler2D sheenRoughnessMap; + #endif +#endif +#ifdef USE_ANISOTROPY + uniform vec2 anisotropyVector; + #ifdef USE_ANISOTROPYMAP + uniform sampler2D anisotropyMap; + #endif +#endif +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse; + vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular; + #include + vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance; + #ifdef USE_SHEEN + + outgoingLight = outgoingLight + sheenSpecularDirect + sheenSpecularIndirect; + + #endif + #ifdef USE_CLEARCOAT + float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) ); + vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc ); + outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat; + #endif + #include + #include + #include + #include + #include + #include +}`,vI=`#define TOON +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +}`,yI=`#define TOON +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include +}`,_I=`uniform float size; +uniform float scale; +#include +#include +#include +#include +#include +#include +#ifdef USE_POINTS_UV + varying vec2 vUv; + uniform mat3 uvTransform; +#endif +void main() { + #ifdef USE_POINTS_UV + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + #endif + #include + #include + #include + #include + #include + #include + gl_PointSize = size; + #ifdef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z ); + #endif + #include + #include + #include + #include +}`,xI=`uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`,bI=`#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`,SI=`uniform vec3 color; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) ); + #include + #include + #include +}`,MI=`uniform float rotation; +uniform vec2 center; +#include +#include +#include +#include +#include +void main() { + #include + vec4 mvPosition = modelViewMatrix[ 3 ]; + vec2 scale = vec2( length( modelMatrix[ 0 ].xyz ), length( modelMatrix[ 1 ].xyz ) ); + #ifndef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) scale *= - mvPosition.z; + #endif + vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale; + vec2 rotatedPosition; + rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y; + rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y; + mvPosition.xy += rotatedPosition; + gl_Position = projectionMatrix * mvPosition; + #include + #include + #include +}`,EI=`uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + vec3 outgoingLight = vec3( 0.0 ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include 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n=this._renderer,s=e.mapping===zo||e.mapping===Pu;s?(this._cubemapMaterial===null&&(this._cubemapMaterial=p1()),this._cubemapMaterial.uniforms.flipEnvMap.value=e.isRenderTargetTexture===!1?-1:1):this._equirectMaterial===null&&(this._equirectMaterial=d1());const u=s?this._cubemapMaterial:this._equirectMaterial,f=this._lodMeshes[0];f.material=u;const h=u.uniforms;h.envMap.value=e;const m=this._cubeSize;zh(t,0,0,3*m,2*m),n.setRenderTarget(t),n.render(f,Wp)}_applyPMREM(e){const t=this._renderer,n=t.autoClear;t.autoClear=!1;const s=this._lodMeshes.length;for(let u=1;uA-Ou?n-A+Ou:0),E=4*(this._cubeSize-R);m.envMap.value=e.texture,m.roughness.value=M,m.mipInt.value=A-t,zh(u,w,E,3*R,2*R),s.setRenderTarget(u),s.render(h,Wp),m.envMap.value=u.texture,m.roughness.value=0,m.mipInt.value=A-n,zh(e,w,E,3*R,2*R),s.setRenderTarget(e),s.render(h,Wp)}_blur(e,t,n,s,u){const f=this._pingPongRenderTarget;this._halfBlur(e,f,t,n,s,"latitudinal",u),this._halfBlur(f,e,n,n,s,"longitudinal",u)}_halfBlur(e,t,n,s,u,f,h){const m=this._renderer,g=this._blurMaterial;f!=="latitudinal"&&f!=="longitudinal"&&Rt("blur direction must be either latitudinal or longitudinal!");const _=3,x=this._lodMeshes[s];x.material=g;const b=g.uniforms,M=this._sizeLods[n]-1,A=isFinite(u)?Math.PI/(2*M):2*Math.PI/(2*qc-1),R=u/A,w=isFinite(u)?1+Math.floor(_*R):qc;w>qc&&ft(`sigmaRadians, ${u}, is too large and will clip, as it requested ${w} samples when the maximum is set to ${qc}`);const E=[];let N=0;for(let H=0;HD-Ou?s-D+Ou:0),z=4*(this._cubeSize-U);zh(t,B,z,3*U,2*U),m.setRenderTarget(t),m.render(x,Wp)}}function II(r){const e=[],t=[],n=[];let s=r;const u=r-Ou+1+c1.length;for(let f=0;fr-Ou?m=c1[f-r+Ou-1]:f===0&&(m=0),t.push(m);const g=1/(h-2),_=-g,x=1+g,b=[_,_,x,_,x,x,_,_,x,x,_,x],M=6,A=6,R=3,w=2,E=1,N=new Float32Array(R*A*M),D=new Float32Array(w*A*M),U=new Float32Array(E*A*M);for(let z=0;z2?0:-1,I=[H,W,0,H+2/3,W,0,H+2/3,W+1,0,H,W,0,H+2/3,W+1,0,H,W+1,0];N.set(I,R*A*z),D.set(b,w*A*z);const P=[z,z,z,z,z,z];U.set(P,E*A*z)}const B=new Kt;B.setAttribute("position",new Xn(N,R)),B.setAttribute("uv",new Xn(D,w)),B.setAttribute("faceIndex",new Xn(U,E)),n.push(new Yi(B,null)),s>Ou&&s--}return{lodMeshes:n,sizeLods:e,sigmas:t}}function h1(r,e,t){const n=new Hs(r,e,t);return n.texture.mapping=id,n.texture.name="PMREM.cubeUv",n.scissorTest=!0,n}function zh(r,e,t,n,s){r.viewport.set(e,t,n,s),r.scissor.set(e,t,n,s)}function OI(r,e,t){return new yr({name:"PMREMGGXConvolution",defines:{GGX_SAMPLES:LI,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${r}.0`},uniforms:{envMap:{value:null},roughness:{value:0},mipInt:{value:0}},vertexShader:Qy(),fragmentShader:` + + precision highp float; + precision highp int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform float roughness; + uniform float mipInt; + + #define ENVMAP_TYPE_CUBE_UV + #include + + #define PI 3.14159265359 + + // Van der Corput radical inverse + float radicalInverse_VdC(uint bits) { + bits = (bits << 16u) | (bits >> 16u); + bits = ((bits & 0x55555555u) << 1u) | ((bits & 0xAAAAAAAAu) >> 1u); + bits = ((bits & 0x33333333u) << 2u) | ((bits & 0xCCCCCCCCu) >> 2u); + bits = ((bits & 0x0F0F0F0Fu) << 4u) | ((bits & 0xF0F0F0F0u) >> 4u); + bits = ((bits & 0x00FF00FFu) << 8u) | ((bits & 0xFF00FF00u) >> 8u); + return float(bits) * 2.3283064365386963e-10; // / 0x100000000 + } + + // Hammersley sequence + vec2 hammersley(uint i, uint N) { + return vec2(float(i) / float(N), radicalInverse_VdC(i)); + } + + // GGX VNDF importance sampling (Eric Heitz 2018) + // "Sampling the GGX Distribution of Visible Normals" + // https://jcgt.org/published/0007/04/01/ + vec3 importanceSampleGGX_VNDF(vec2 Xi, vec3 V, float roughness) { + float alpha = roughness * roughness; + + // Section 3.2: Transform view direction to hemisphere configuration + vec3 Vh = normalize(vec3(alpha * V.x, alpha * V.y, V.z)); + + // Section 4.1: Orthonormal basis + float lensq = Vh.x * Vh.x + Vh.y * Vh.y; + vec3 T1 = lensq > 0.0 ? vec3(-Vh.y, Vh.x, 0.0) / sqrt(lensq) : vec3(1.0, 0.0, 0.0); + vec3 T2 = cross(Vh, T1); + + // Section 4.2: Parameterization of projected area + float r = sqrt(Xi.x); + float phi = 2.0 * PI * Xi.y; + float t1 = r * cos(phi); + float t2 = r * sin(phi); + float s = 0.5 * (1.0 + Vh.z); + t2 = (1.0 - s) * sqrt(1.0 - t1 * t1) + s * t2; + + // Section 4.3: Reprojection onto hemisphere + vec3 Nh = t1 * T1 + t2 * T2 + sqrt(max(0.0, 1.0 - t1 * t1 - t2 * t2)) * Vh; + + // Section 3.4: Transform back to ellipsoid configuration + return normalize(vec3(alpha * Nh.x, alpha * Nh.y, max(0.0, Nh.z))); + } + + void main() { + vec3 N = normalize(vOutputDirection); + vec3 V = N; // Assume view direction equals normal for pre-filtering + + vec3 prefilteredColor = vec3(0.0); + float totalWeight = 0.0; + + // For very low roughness, just sample the environment directly + if (roughness < 0.001) { + gl_FragColor = vec4(bilinearCubeUV(envMap, N, mipInt), 1.0); + return; + } + + // Tangent space basis for VNDF sampling + vec3 up = abs(N.z) < 0.999 ? vec3(0.0, 0.0, 1.0) : vec3(1.0, 0.0, 0.0); + vec3 tangent = normalize(cross(up, N)); + vec3 bitangent = cross(N, tangent); + + for(uint i = 0u; i < uint(GGX_SAMPLES); i++) { + vec2 Xi = hammersley(i, uint(GGX_SAMPLES)); + + // For PMREM, V = N, so in tangent space V is always (0, 0, 1) + vec3 H_tangent = importanceSampleGGX_VNDF(Xi, vec3(0.0, 0.0, 1.0), roughness); + + // Transform H back to world space + vec3 H = normalize(tangent * H_tangent.x + bitangent * H_tangent.y + N * H_tangent.z); + vec3 L = normalize(2.0 * dot(V, H) * H - V); + + float NdotL = max(dot(N, L), 0.0); + + if(NdotL > 0.0) { + // Sample environment at fixed mip level + // VNDF importance sampling handles the distribution filtering + vec3 sampleColor = bilinearCubeUV(envMap, L, mipInt); + + // Weight by NdotL for the split-sum approximation + // VNDF PDF naturally accounts for the visible microfacet distribution + prefilteredColor += sampleColor * NdotL; + totalWeight += NdotL; + } + } + + if (totalWeight > 0.0) { + prefilteredColor = prefilteredColor / totalWeight; + } + + gl_FragColor = vec4(prefilteredColor, 1.0); + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function PI(r,e,t){const n=new Float32Array(qc),s=new j(0,1,0);return new yr({name:"SphericalGaussianBlur",defines:{n:qc,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${r}.0`},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:n},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:s}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform int samples; + uniform float weights[ n ]; + uniform bool latitudinal; + uniform float dTheta; + uniform float mipInt; + uniform vec3 poleAxis; + + #define ENVMAP_TYPE_CUBE_UV + #include + + vec3 getSample( float theta, vec3 axis ) { + + float cosTheta = cos( theta ); + // Rodrigues' axis-angle rotation + vec3 sampleDirection = vOutputDirection * cosTheta + + cross( axis, vOutputDirection ) * sin( theta ) + + axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta ); + + return bilinearCubeUV( envMap, sampleDirection, mipInt ); + + } + + void main() { + + vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection ); + + if ( all( equal( axis, vec3( 0.0 ) ) ) ) { + + axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x ); + + } + + axis = normalize( axis ); + + gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis ); + + for ( int i = 1; i < n; i++ ) { + + if ( i >= samples ) { + + break; + + } + + float theta = dTheta * float( i ); + gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis ); + gl_FragColor.rgb += weights[ i ] * getSample( theta, axis ); + + } + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function d1(){return new yr({name:"EquirectangularToCubeUV",uniforms:{envMap:{value:null}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + + #include + + void main() { + + vec3 outputDirection = normalize( vOutputDirection ); + vec2 uv = equirectUv( outputDirection ); + + gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 ); + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function p1(){return new yr({name:"CubemapToCubeUV",uniforms:{envMap:{value:null},flipEnvMap:{value:-1}},vertexShader:Qy(),fragmentShader:` + + precision mediump float; + precision mediump int; + + uniform float flipEnvMap; + + varying vec3 vOutputDirection; + + uniform samplerCube envMap; + + void main() { + + gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) ); + + } + `,blending:Po,depthTest:!1,depthWrite:!1})}function Qy(){return` + + precision mediump float; + precision mediump int; + + attribute float faceIndex; + + varying vec3 vOutputDirection; + + // RH coordinate system; PMREM face-indexing convention + vec3 getDirection( vec2 uv, float face ) { + + uv = 2.0 * uv - 1.0; + + vec3 direction = vec3( uv, 1.0 ); + + if ( face == 0.0 ) { + + direction = direction.zyx; // ( 1, v, u ) pos x + + } else if ( face == 1.0 ) { + + direction = direction.xzy; + direction.xz *= -1.0; // ( -u, 1, -v ) pos y + + } else if ( face == 2.0 ) { + + direction.x *= -1.0; // ( -u, v, 1 ) pos z + + } else if ( face == 3.0 ) { + + direction = direction.zyx; + direction.xz *= -1.0; // ( -1, v, -u ) neg x + + } else if ( face == 4.0 ) { + + direction = direction.xzy; + direction.xy *= -1.0; // ( -u, -1, v ) neg y + + } else if ( face == 5.0 ) { + + direction.z *= -1.0; // ( u, v, -1 ) neg z + + } + + return direction; + + } + + void main() { + + vOutputDirection = getDirection( uv, faceIndex ); + gl_Position = vec4( position, 1.0 ); + + } + `}function zI(r){let e=new WeakMap,t=null;function n(h){if(h&&h.isTexture){const m=h.mapping,g=m===om||m===lm,_=m===zo||m===Pu;if(g||_){let x=e.get(h);const b=x!==void 0?x.texture.pmremVersion:0;if(h.isRenderTargetTexture&&h.pmremVersion!==b)return t===null&&(t=new nb(r)),x=g?t.fromEquirectangular(h,x):t.fromCubemap(h,x),x.texture.pmremVersion=h.pmremVersion,e.set(h,x),x.texture;if(x!==void 0)return x.texture;{const M=h.image;return g&&M&&M.height>0||_&&M&&s(M)?(t===null&&(t=new nb(r)),x=g?t.fromEquirectangular(h):t.fromCubemap(h),x.texture.pmremVersion=h.pmremVersion,e.set(h,x),h.addEventListener("dispose",u),x.texture):null}}}return h}function s(h){let m=0;const g=6;for(let _=0;_e.maxTextureSize&&(B=Math.ceil(U/e.maxTextureSize),U=e.maxTextureSize);const z=new Float32Array(U*B*4*x),H=new wy(z,U,B,x);H.type=is,H.needsUpdate=!0;const W=D*4;for(let P=0;P + #include + + void main() { + gl_FragColor = texture2D( tDiffuse, vUv ); + + #ifdef LINEAR_TONE_MAPPING + gl_FragColor.rgb = LinearToneMapping( gl_FragColor.rgb ); + #elif defined( REINHARD_TONE_MAPPING ) + gl_FragColor.rgb = ReinhardToneMapping( gl_FragColor.rgb ); + #elif defined( CINEON_TONE_MAPPING ) + gl_FragColor.rgb = CineonToneMapping( gl_FragColor.rgb ); + #elif defined( ACES_FILMIC_TONE_MAPPING ) + gl_FragColor.rgb = ACESFilmicToneMapping( gl_FragColor.rgb ); + #elif defined( AGX_TONE_MAPPING ) + gl_FragColor.rgb = AgXToneMapping( gl_FragColor.rgb ); + #elif defined( NEUTRAL_TONE_MAPPING ) + gl_FragColor.rgb = NeutralToneMapping( gl_FragColor.rgb ); + #elif defined( CUSTOM_TONE_MAPPING ) + gl_FragColor.rgb = CustomToneMapping( gl_FragColor.rgb ); + #endif + + #ifdef SRGB_TRANSFER + gl_FragColor = sRGBTransferOETF( gl_FragColor ); + #endif + }`,depthTest:!1,depthWrite:!1}),g=new Yi(h,m),_=new Dl(-1,1,1,-1,0,1);let x=null,b=null,M=!1,A,R=null,w=[],E=!1;this.setSize=function(N,D){u.setSize(N,D),f.setSize(N,D);for(let 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USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.mapUv?"#define MAP_UV "+t.mapUv:"",t.alphaMapUv?"#define ALPHAMAP_UV "+t.alphaMapUv:"",t.lightMapUv?"#define LIGHTMAP_UV "+t.lightMapUv:"",t.aoMapUv?"#define AOMAP_UV "+t.aoMapUv:"",t.emissiveMapUv?"#define EMISSIVEMAP_UV "+t.emissiveMapUv:"",t.bumpMapUv?"#define BUMPMAP_UV "+t.bumpMapUv:"",t.normalMapUv?"#define NORMALMAP_UV "+t.normalMapUv:"",t.displacementMapUv?"#define DISPLACEMENTMAP_UV "+t.displacementMapUv:"",t.metalnessMapUv?"#define METALNESSMAP_UV "+t.metalnessMapUv:"",t.roughnessMapUv?"#define ROUGHNESSMAP_UV "+t.roughnessMapUv:"",t.anisotropyMapUv?"#define ANISOTROPYMAP_UV "+t.anisotropyMapUv:"",t.clearcoatMapUv?"#define CLEARCOATMAP_UV "+t.clearcoatMapUv:"",t.clearcoatNormalMapUv?"#define CLEARCOAT_NORMALMAP_UV "+t.clearcoatNormalMapUv:"",t.clearcoatRoughnessMapUv?"#define CLEARCOAT_ROUGHNESSMAP_UV "+t.clearcoatRoughnessMapUv:"",t.iridescenceMapUv?"#define IRIDESCENCEMAP_UV "+t.iridescenceMapUv:"",t.iridescenceThicknessMapUv?"#define IRIDESCENCE_THICKNESSMAP_UV "+t.iridescenceThicknessMapUv:"",t.sheenColorMapUv?"#define SHEEN_COLORMAP_UV "+t.sheenColorMapUv:"",t.sheenRoughnessMapUv?"#define SHEEN_ROUGHNESSMAP_UV "+t.sheenRoughnessMapUv:"",t.specularMapUv?"#define SPECULARMAP_UV "+t.specularMapUv:"",t.specularColorMapUv?"#define SPECULAR_COLORMAP_UV "+t.specularColorMapUv:"",t.specularIntensityMapUv?"#define SPECULAR_INTENSITYMAP_UV "+t.specularIntensityMapUv:"",t.transmissionMapUv?"#define TRANSMISSIONMAP_UV "+t.transmissionMapUv:"",t.thicknessMapUv?"#define THICKNESSMAP_UV "+t.thicknessMapUv:"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.flatShading?"#define FLAT_SHADED":"",t.skinning?"#define USE_SKINNING":"",t.morphTargets?"#define USE_MORPHTARGETS":"",t.morphNormals&&t.flatShading===!1?"#define USE_MORPHNORMALS":"",t.morphColors?"#define USE_MORPHCOLORS":"",t.morphTargetsCount>0?"#define MORPHTARGETS_TEXTURE_STRIDE "+t.morphTextureStride:"",t.morphTargetsCount>0?"#define MORPHTARGETS_COUNT "+t.morphTargetsCount:"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+m:"",t.sizeAttenuation?"#define USE_SIZEATTENUATION":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.logarithmicDepthBuffer?"#define USE_LOGARITHMIC_DEPTH_BUFFER":"",t.reversedDepthBuffer?"#define USE_REVERSED_DEPTH_BUFFER":"","uniform mat4 modelMatrix;","uniform mat4 modelViewMatrix;","uniform mat4 projectionMatrix;","uniform mat4 viewMatrix;","uniform mat3 normalMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;","#ifdef USE_INSTANCING"," attribute mat4 instanceMatrix;","#endif","#ifdef USE_INSTANCING_COLOR"," attribute vec3 instanceColor;","#endif","#ifdef USE_INSTANCING_MORPH"," uniform sampler2D morphTexture;","#endif","attribute vec3 position;","attribute vec3 normal;","attribute vec2 uv;","#ifdef USE_UV1"," attribute vec2 uv1;","#endif","#ifdef USE_UV2"," attribute vec2 uv2;","#endif","#ifdef USE_UV3"," attribute vec2 uv3;","#endif","#ifdef USE_TANGENT"," attribute vec4 tangent;","#endif","#if defined( USE_COLOR_ALPHA )"," attribute vec4 color;","#elif defined( USE_COLOR )"," attribute vec3 color;","#endif","#ifdef USE_SKINNING"," attribute vec4 skinIndex;"," attribute vec4 skinWeight;","#endif",` +`].filter(Qp).join(` +`),E=[w1(t),"#define SHADER_TYPE "+t.shaderType,"#define SHADER_NAME "+t.shaderName,A,t.useFog&&t.fog?"#define USE_FOG":"",t.useFog&&t.fogExp2?"#define FOG_EXP2":"",t.alphaToCoverage?"#define ALPHA_TO_COVERAGE":"",t.map?"#define USE_MAP":"",t.matcap?"#define USE_MATCAP":"",t.envMap?"#define USE_ENVMAP":"",t.envMap?"#define "+g:"",t.envMap?"#define "+_:"",t.envMap?"#define "+x:"",b?"#define CUBEUV_TEXEL_WIDTH "+b.texelWidth:"",b?"#define CUBEUV_TEXEL_HEIGHT "+b.texelHeight:"",b?"#define CUBEUV_MAX_MIP "+b.maxMip+".0":"",t.lightMap?"#define USE_LIGHTMAP":"",t.aoMap?"#define USE_AOMAP":"",t.bumpMap?"#define USE_BUMPMAP":"",t.normalMap?"#define USE_NORMALMAP":"",t.normalMapObjectSpace?"#define USE_NORMALMAP_OBJECTSPACE":"",t.normalMapTangentSpace?"#define USE_NORMALMAP_TANGENTSPACE":"",t.emissiveMap?"#define USE_EMISSIVEMAP":"",t.anisotropy?"#define USE_ANISOTROPY":"",t.anisotropyMap?"#define USE_ANISOTROPYMAP":"",t.clearcoat?"#define USE_CLEARCOAT":"",t.clearcoatMap?"#define USE_CLEARCOATMAP":"",t.clearcoatRoughnessMap?"#define USE_CLEARCOAT_ROUGHNESSMAP":"",t.clearcoatNormalMap?"#define USE_CLEARCOAT_NORMALMAP":"",t.dispersion?"#define USE_DISPERSION":"",t.iridescence?"#define USE_IRIDESCENCE":"",t.iridescenceMap?"#define USE_IRIDESCENCEMAP":"",t.iridescenceThicknessMap?"#define USE_IRIDESCENCE_THICKNESSMAP":"",t.specularMap?"#define USE_SPECULARMAP":"",t.specularColorMap?"#define USE_SPECULAR_COLORMAP":"",t.specularIntensityMap?"#define USE_SPECULAR_INTENSITYMAP":"",t.roughnessMap?"#define USE_ROUGHNESSMAP":"",t.metalnessMap?"#define USE_METALNESSMAP":"",t.alphaMap?"#define USE_ALPHAMAP":"",t.alphaTest?"#define USE_ALPHATEST":"",t.alphaHash?"#define USE_ALPHAHASH":"",t.sheen?"#define USE_SHEEN":"",t.sheenColorMap?"#define USE_SHEEN_COLORMAP":"",t.sheenRoughnessMap?"#define USE_SHEEN_ROUGHNESSMAP":"",t.transmission?"#define USE_TRANSMISSION":"",t.transmissionMap?"#define USE_TRANSMISSIONMAP":"",t.thicknessMap?"#define USE_THICKNESSMAP":"",t.vertexTangents&&t.flatShading===!1?"#define USE_TANGENT":"",t.vertexColors||t.instancingColor||t.batchingColor?"#define USE_COLOR":"",t.vertexAlphas?"#define USE_COLOR_ALPHA":"",t.vertexUv1s?"#define USE_UV1":"",t.vertexUv2s?"#define USE_UV2":"",t.vertexUv3s?"#define USE_UV3":"",t.pointsUvs?"#define USE_POINTS_UV":"",t.gradientMap?"#define USE_GRADIENTMAP":"",t.flatShading?"#define FLAT_SHADED":"",t.doubleSided?"#define DOUBLE_SIDED":"",t.flipSided?"#define FLIP_SIDED":"",t.shadowMapEnabled?"#define USE_SHADOWMAP":"",t.shadowMapEnabled?"#define "+m:"",t.premultipliedAlpha?"#define PREMULTIPLIED_ALPHA":"",t.numLightProbes>0?"#define USE_LIGHT_PROBES":"",t.decodeVideoTexture?"#define DECODE_VIDEO_TEXTURE":"",t.decodeVideoTextureEmissive?"#define DECODE_VIDEO_TEXTURE_EMISSIVE":"",t.logarithmicDepthBuffer?"#define USE_LOGARITHMIC_DEPTH_BUFFER":"",t.reversedDepthBuffer?"#define USE_REVERSED_DEPTH_BUFFER":"","uniform mat4 viewMatrix;","uniform vec3 cameraPosition;","uniform bool isOrthographic;",t.toneMapping!==gr?"#define TONE_MAPPING":"",t.toneMapping!==gr?un.tonemapping_pars_fragment:"",t.toneMapping!==gr?HO("toneMapping",t.toneMapping):"",t.dithering?"#define DITHERING":"",t.opaque?"#define OPAQUE":"",un.colorspace_pars_fragment,kO("linearToOutputTexel",t.outputColorSpace),GO(),t.useDepthPacking?"#define DEPTH_PACKING "+t.depthPacking:"",` +`].filter(Qp).join(` +`)),f=ab(f),f=E1(f,t),f=T1(f,t),h=ab(h),h=E1(h,t),h=T1(h,t),f=A1(f),h=A1(h),t.isRawShaderMaterial!==!0&&(N=`#version 300 es +`,w=[M,"#define attribute in","#define varying out","#define texture2D texture"].join(` +`)+` +`+w,E=["#define varying in",t.glslVersion===jx?"":"layout(location = 0) out highp vec4 pc_fragColor;",t.glslVersion===jx?"":"#define gl_FragColor pc_fragColor","#define gl_FragDepthEXT gl_FragDepth","#define texture2D texture","#define textureCube texture","#define texture2DProj textureProj","#define texture2DLodEXT textureLod","#define texture2DProjLodEXT textureProjLod","#define textureCubeLodEXT textureLod","#define texture2DGradEXT textureGrad","#define texture2DProjGradEXT textureProjGrad","#define textureCubeGradEXT textureGrad"].join(` +`)+` +`+E);const D=N+w+f,U=N+E+h,B=b1(s,s.VERTEX_SHADER,D),z=b1(s,s.FRAGMENT_SHADER,U);s.attachShader(R,B),s.attachShader(R,z),t.index0AttributeName!==void 0?s.bindAttribLocation(R,0,t.index0AttributeName):t.morphTargets===!0&&s.bindAttribLocation(R,0,"position"),s.linkProgram(R);function H(Z){if(r.debug.checkShaderErrors){const se=s.getProgramInfoLog(R)||"",te=s.getShaderInfoLog(B)||"",fe=s.getShaderInfoLog(z)||"",pe=se.trim(),Y=te.trim(),q=fe.trim();let ne=!0,be=!0;if(s.getProgramParameter(R,s.LINK_STATUS)===!1)if(ne=!1,typeof r.debug.onShaderError=="function")r.debug.onShaderError(s,R,B,z);else{const Ne=M1(s,B,"vertex"),X=M1(s,z,"fragment");Rt("THREE.WebGLProgram: Shader Error "+s.getError()+" - VALIDATE_STATUS "+s.getProgramParameter(R,s.VALIDATE_STATUS)+` + +Material Name: `+Z.name+` +Material Type: `+Z.type+` + +Program Info Log: `+pe+` +`+Ne+` +`+X)}else pe!==""?ft("WebGLProgram: Program Info Log:",pe):(Y===""||q==="")&&(be=!1);be&&(Z.diagnostics={runnable:ne,programLog:pe,vertexShader:{log:Y,prefix:w},fragmentShader:{log:q,prefix:E}})}s.deleteShader(B),s.deleteShader(z),W=new mv(s,R),I=qO(s,R)}let W;this.getUniforms=function(){return W===void 0&&H(this),W};let I;this.getAttributes=function(){return I===void 0&&H(this),I};let P=t.rendererExtensionParallelShaderCompile===!1;return this.isReady=function(){return P===!1&&(P=s.getProgramParameter(R,PO)),P},this.destroy=function(){n.releaseStatesOfProgram(this),s.deleteProgram(R),this.program=void 0},this.type=t.shaderType,this.name=t.shaderName,this.id=zO++,this.cacheKey=e,this.usedTimes=1,this.program=R,this.vertexShader=B,this.fragmentShader=z,this}let lP=0;class uP{constructor(){this.shaderCache=new Map,this.materialCache=new Map}update(e){const t=e.vertexShader,n=e.fragmentShader,s=this._getShaderStage(t),u=this._getShaderStage(n),f=this._getShaderCacheForMaterial(e);return f.has(s)===!1&&(f.add(s),s.usedTimes++),f.has(u)===!1&&(f.add(u),u.usedTimes++),this}remove(e){const t=this.materialCache.get(e);for(const n of t)n.usedTimes--,n.usedTimes===0&&this.shaderCache.delete(n.code);return this.materialCache.delete(e),this}getVertexShaderID(e){return this._getShaderStage(e.vertexShader).id}getFragmentShaderID(e){return this._getShaderStage(e.fragmentShader).id}dispose(){this.shaderCache.clear(),this.materialCache.clear()}_getShaderCacheForMaterial(e){const t=this.materialCache;let n=t.get(e);return n===void 0&&(n=new Set,t.set(e,n)),n}_getShaderStage(e){const t=this.shaderCache;let n=t.get(e);return n===void 0&&(n=new cP(e),t.set(e,n)),n}}class cP{constructor(e){this.id=lP++,this.code=e,this.usedTimes=0}}function fP(r,e,t,n,s,u,f){const h=new Kh,m=new uP,g=new Set,_=[],x=new Map,b=s.logarithmicDepthBuffer;let M=s.precision;const A={MeshDepthMaterial:"depth",MeshDistanceMaterial:"distance",MeshNormalMaterial:"normal",MeshBasicMaterial:"basic",MeshLambertMaterial:"lambert",MeshPhongMaterial:"phong",MeshToonMaterial:"toon",MeshStandardMaterial:"physical",MeshPhysicalMaterial:"physical",MeshMatcapMaterial:"matcap",LineBasicMaterial:"basic",LineDashedMaterial:"dashed",PointsMaterial:"points",ShadowMaterial:"shadow",SpriteMaterial:"sprite"};function R(I){return g.add(I),I===0?"uv":`uv${I}`}function w(I,P,Z,se,te){const fe=se.fog,pe=te.geometry,Y=I.isMeshStandardMaterial?se.environment:null,q=(I.isMeshStandardMaterial?t:e).get(I.envMap||Y),ne=q&&q.mapping===id?q.image.height:null,be=A[I.type];I.precision!==null&&(M=s.getMaxPrecision(I.precision),M!==I.precision&&ft("WebGLProgram.getParameters:",I.precision,"not supported, using",M,"instead."));const Ne=pe.morphAttributes.position||pe.morphAttributes.normal||pe.morphAttributes.color,X=Ne!==void 0?Ne.length:0;let oe=0;pe.morphAttributes.position!==void 0&&(oe=1),pe.morphAttributes.normal!==void 0&&(oe=2),pe.morphAttributes.color!==void 0&&(oe=3);let Ae,Fe,lt,de;if(be){const nn=qr[be];Ae=nn.vertexShader,Fe=nn.fragmentShader}else Ae=I.vertexShader,Fe=I.fragmentShader,m.update(I),lt=m.getVertexShaderID(I),de=m.getFragmentShaderID(I);const Re=r.getRenderTarget(),tt=r.state.buffers.depth.getReversed(),st=te.isInstancedMesh===!0,ht=te.isBatchedMesh===!0,jt=!!I.map,tn=!!I.matcap,Nt=!!q,Le=!!I.aoMap,He=!!I.lightMap,Oe=!!I.bumpMap,nt=!!I.normalMap,Q=!!I.displacementMap,Et=!!I.emissiveMap,ot=!!I.metalnessMap,Tt=!!I.roughnessMap,Qe=I.anisotropy>0,G=I.clearcoat>0,O=I.dispersion>0,ae=I.iridescence>0,Te=I.sheen>0,Ie=I.transmission>0,Ee=Qe&&!!I.anisotropyMap,dt=G&&!!I.clearcoatMap,Ke=G&&!!I.clearcoatNormalMap,vt=G&&!!I.clearcoatRoughnessMap,Dt=ae&&!!I.iridescenceMap,Ve=ae&&!!I.iridescenceThicknessMap,Ze=Te&&!!I.sheenColorMap,ct=Te&&!!I.sheenRoughnessMap,K=!!I.specularMap,me=!!I.specularColorMap,et=!!I.specularIntensityMap,J=Ie&&!!I.transmissionMap,je=Ie&&!!I.thicknessMap,Ge=!!I.gradientMap,at=!!I.alphaMap,Xe=I.alphaTest>0,Ue=!!I.alphaHash,Ye=!!I.extensions;let Ct=gr;I.toneMapped&&(Re===null||Re.isXRRenderTarget===!0)&&(Ct=r.toneMapping);const Jt={shaderID:be,shaderType:I.type,shaderName:I.name,vertexShader:Ae,fragmentShader:Fe,defines:I.defines,customVertexShaderID:lt,customFragmentShaderID:de,isRawShaderMaterial:I.isRawShaderMaterial===!0,glslVersion:I.glslVersion,precision:M,batching:ht,batchingColor:ht&&te._colorsTexture!==null,instancing:st,instancingColor:st&&te.instanceColor!==null,instancingMorph:st&&te.morphTexture!==null,outputColorSpace:Re===null?r.outputColorSpace:Re.isXRRenderTarget===!0?Re.texture.colorSpace:zu,alphaToCoverage:!!I.alphaToCoverage,map:jt,matcap:tn,envMap:Nt,envMapMode:Nt&&q.mapping,envMapCubeUVHeight:ne,aoMap:Le,lightMap:He,bumpMap:Oe,normalMap:nt,displacementMap:Q,emissiveMap:Et,normalMapObjectSpace:nt&&I.normalMapType===DE,normalMapTangentSpace:nt&&I.normalMapType===ku,metalnessMap:ot,roughnessMap:Tt,anisotropy:Qe,anisotropyMap:Ee,clearcoat:G,clearcoatMap:dt,clearcoatNormalMap:Ke,clearcoatRoughnessMap:vt,dispersion:O,iridescence:ae,iridescenceMap:Dt,iridescenceThicknessMap:Ve,sheen:Te,sheenColorMap:Ze,sheenRoughnessMap:ct,specularMap:K,specularColorMap:me,specularIntensityMap:et,transmission:Ie,transmissionMap:J,thicknessMap:je,gradientMap:Ge,opaque:I.transparent===!1&&I.blending===Kc&&I.alphaToCoverage===!1,alphaMap:at,alphaTest:Xe,alphaHash:Ue,combine:I.combine,mapUv:jt&&R(I.map.channel),aoMapUv:Le&&R(I.aoMap.channel),lightMapUv:He&&R(I.lightMap.channel),bumpMapUv:Oe&&R(I.bumpMap.channel),normalMapUv:nt&&R(I.normalMap.channel),displacementMapUv:Q&&R(I.displacementMap.channel),emissiveMapUv:Et&&R(I.emissiveMap.channel),metalnessMapUv:ot&&R(I.metalnessMap.channel),roughnessMapUv:Tt&&R(I.roughnessMap.channel),anisotropyMapUv:Ee&&R(I.anisotropyMap.channel),clearcoatMapUv:dt&&R(I.clearcoatMap.channel),clearcoatNormalMapUv:Ke&&R(I.clearcoatNormalMap.channel),clearcoatRoughnessMapUv:vt&&R(I.clearcoatRoughnessMap.channel),iridescenceMapUv:Dt&&R(I.iridescenceMap.channel),iridescenceThicknessMapUv:Ve&&R(I.iridescenceThicknessMap.channel),sheenColorMapUv:Ze&&R(I.sheenColorMap.channel),sheenRoughnessMapUv:ct&&R(I.sheenRoughnessMap.channel),specularMapUv:K&&R(I.specularMap.channel),specularColorMapUv:me&&R(I.specularColorMap.channel),specularIntensityMapUv:et&&R(I.specularIntensityMap.channel),transmissionMapUv:J&&R(I.transmissionMap.channel),thicknessMapUv:je&&R(I.thicknessMap.channel),alphaMapUv:at&&R(I.alphaMap.channel),vertexTangents:!!pe.attributes.tangent&&(nt||Qe),vertexColors:I.vertexColors,vertexAlphas:I.vertexColors===!0&&!!pe.attributes.color&&pe.attributes.color.itemSize===4,pointsUvs:te.isPoints===!0&&!!pe.attributes.uv&&(jt||at),fog:!!fe,useFog:I.fog===!0,fogExp2:!!fe&&fe.isFogExp2,flatShading:I.flatShading===!0&&I.wireframe===!1,sizeAttenuation:I.sizeAttenuation===!0,logarithmicDepthBuffer:b,reversedDepthBuffer:tt,skinning:te.isSkinnedMesh===!0,morphTargets:pe.morphAttributes.position!==void 0,morphNormals:pe.morphAttributes.normal!==void 0,morphColors:pe.morphAttributes.color!==void 0,morphTargetsCount:X,morphTextureStride:oe,numDirLights:P.directional.length,numPointLights:P.point.length,numSpotLights:P.spot.length,numSpotLightMaps:P.spotLightMap.length,numRectAreaLights:P.rectArea.length,numHemiLights:P.hemi.length,numDirLightShadows:P.directionalShadowMap.length,numPointLightShadows:P.pointShadowMap.length,numSpotLightShadows:P.spotShadowMap.length,numSpotLightShadowsWithMaps:P.numSpotLightShadowsWithMaps,numLightProbes:P.numLightProbes,numClippingPlanes:f.numPlanes,numClipIntersection:f.numIntersection,dithering:I.dithering,shadowMapEnabled:r.shadowMap.enabled&&Z.length>0,shadowMapType:r.shadowMap.type,toneMapping:Ct,decodeVideoTexture:jt&&I.map.isVideoTexture===!0&&Sn.getTransfer(I.map.colorSpace)===zn,decodeVideoTextureEmissive:Et&&I.emissiveMap.isVideoTexture===!0&&Sn.getTransfer(I.emissiveMap.colorSpace)===zn,premultipliedAlpha:I.premultipliedAlpha,doubleSided:I.side===Uo,flipSided:I.side===as,useDepthPacking:I.depthPacking>=0,depthPacking:I.depthPacking||0,index0AttributeName:I.index0AttributeName,extensionClipCullDistance:Ye&&I.extensions.clipCullDistance===!0&&n.has("WEBGL_clip_cull_distance"),extensionMultiDraw:(Ye&&I.extensions.multiDraw===!0||ht)&&n.has("WEBGL_multi_draw"),rendererExtensionParallelShaderCompile:n.has("KHR_parallel_shader_compile"),customProgramCacheKey:I.customProgramCacheKey()};return Jt.vertexUv1s=g.has(1),Jt.vertexUv2s=g.has(2),Jt.vertexUv3s=g.has(3),g.clear(),Jt}function E(I){const P=[];if(I.shaderID?P.push(I.shaderID):(P.push(I.customVertexShaderID),P.push(I.customFragmentShaderID)),I.defines!==void 0)for(const Z in I.defines)P.push(Z),P.push(I.defines[Z]);return I.isRawShaderMaterial===!1&&(N(P,I),D(P,I),P.push(r.outputColorSpace)),P.push(I.customProgramCacheKey),P.join()}function N(I,P){I.push(P.precision),I.push(P.outputColorSpace),I.push(P.envMapMode),I.push(P.envMapCubeUVHeight),I.push(P.mapUv),I.push(P.alphaMapUv),I.push(P.lightMapUv),I.push(P.aoMapUv),I.push(P.bumpMapUv),I.push(P.normalMapUv),I.push(P.displacementMapUv),I.push(P.emissiveMapUv),I.push(P.metalnessMapUv),I.push(P.roughnessMapUv),I.push(P.anisotropyMapUv),I.push(P.clearcoatMapUv),I.push(P.clearcoatNormalMapUv),I.push(P.clearcoatRoughnessMapUv),I.push(P.iridescenceMapUv),I.push(P.iridescenceThicknessMapUv),I.push(P.sheenColorMapUv),I.push(P.sheenRoughnessMapUv),I.push(P.specularMapUv),I.push(P.specularColorMapUv),I.push(P.specularIntensityMapUv),I.push(P.transmissionMapUv),I.push(P.thicknessMapUv),I.push(P.combine),I.push(P.fogExp2),I.push(P.sizeAttenuation),I.push(P.morphTargetsCount),I.push(P.morphAttributeCount),I.push(P.numDirLights),I.push(P.numPointLights),I.push(P.numSpotLights),I.push(P.numSpotLightMaps),I.push(P.numHemiLights),I.push(P.numRectAreaLights),I.push(P.numDirLightShadows),I.push(P.numPointLightShadows),I.push(P.numSpotLightShadows),I.push(P.numSpotLightShadowsWithMaps),I.push(P.numLightProbes),I.push(P.shadowMapType),I.push(P.toneMapping),I.push(P.numClippingPlanes),I.push(P.numClipIntersection),I.push(P.depthPacking)}function D(I,P){h.disableAll(),P.instancing&&h.enable(0),P.instancingColor&&h.enable(1),P.instancingMorph&&h.enable(2),P.matcap&&h.enable(3),P.envMap&&h.enable(4),P.normalMapObjectSpace&&h.enable(5),P.normalMapTangentSpace&&h.enable(6),P.clearcoat&&h.enable(7),P.iridescence&&h.enable(8),P.alphaTest&&h.enable(9),P.vertexColors&&h.enable(10),P.vertexAlphas&&h.enable(11),P.vertexUv1s&&h.enable(12),P.vertexUv2s&&h.enable(13),P.vertexUv3s&&h.enable(14),P.vertexTangents&&h.enable(15),P.anisotropy&&h.enable(16),P.alphaHash&&h.enable(17),P.batching&&h.enable(18),P.dispersion&&h.enable(19),P.batchingColor&&h.enable(20),P.gradientMap&&h.enable(21),I.push(h.mask),h.disableAll(),P.fog&&h.enable(0),P.useFog&&h.enable(1),P.flatShading&&h.enable(2),P.logarithmicDepthBuffer&&h.enable(3),P.reversedDepthBuffer&&h.enable(4),P.skinning&&h.enable(5),P.morphTargets&&h.enable(6),P.morphNormals&&h.enable(7),P.morphColors&&h.enable(8),P.premultipliedAlpha&&h.enable(9),P.shadowMapEnabled&&h.enable(10),P.doubleSided&&h.enable(11),P.flipSided&&h.enable(12),P.useDepthPacking&&h.enable(13),P.dithering&&h.enable(14),P.transmission&&h.enable(15),P.sheen&&h.enable(16),P.opaque&&h.enable(17),P.pointsUvs&&h.enable(18),P.decodeVideoTexture&&h.enable(19),P.decodeVideoTextureEmissive&&h.enable(20),P.alphaToCoverage&&h.enable(21),I.push(h.mask)}function 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dt=Ie?dm:Sn.getTransfer(Te);ae===r.FLOAT&&(Ee=r.RGBA32F),ae===r.HALF_FLOAT&&(Ee=r.RGBA16F),ae===r.UNSIGNED_BYTE&&(Ee=dt===zn?r.SRGB8_ALPHA8:r.RGBA8),ae===r.UNSIGNED_SHORT_4_4_4_4&&(Ee=r.RGBA4),ae===r.UNSIGNED_SHORT_5_5_5_1&&(Ee=r.RGB5_A1)}return(Ee===r.R16F||Ee===r.R32F||Ee===r.RG16F||Ee===r.RG32F||Ee===r.RGBA16F||Ee===r.RGBA32F)&&e.get("EXT_color_buffer_float"),Ee}function U(G,O){let ae;return G?O===null||O===vr||O===jh?ae=r.DEPTH24_STENCIL8:O===is?ae=r.DEPTH32F_STENCIL8:O===qh&&(ae=r.DEPTH24_STENCIL8,ft("DepthTexture: 16 bit depth attachment is not supported with stencil. 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0&&(G.__webglInit=!0,O.addEventListener("dispose",z));const Te=O.source;let Ie=b.get(Te);Ie===void 0&&(Ie={},b.set(Te,Ie));const Ee=fe(O);if(Ee!==G.__cacheKey){Ie[Ee]===void 0&&(Ie[Ee]={texture:r.createTexture(),usedTimes:0},f.memory.textures++,ae=!0),Ie[Ee].usedTimes++;const dt=Ie[G.__cacheKey];dt!==void 0&&(Ie[G.__cacheKey].usedTimes--,dt.usedTimes===0&&I(O)),G.__cacheKey=Ee,G.__webglTexture=Ie[Ee].texture}return ae}function Fe(G,O,ae){return Math.floor(Math.floor(G/ae)/O)}function lt(G,O,ae,Te){const Ee=G.updateRanges;if(Ee.length===0)t.texSubImage2D(r.TEXTURE_2D,0,0,0,O.width,O.height,ae,Te,O.data);else{Ee.sort((Ve,Ze)=>Ve.start-Ze.start);let dt=0;for(let Ve=1;Ve0){J&&je&&t.texStorage2D(r.TEXTURE_2D,at,K,et[0].width,et[0].height);for(let Xe=0,Ue=et.length;Xe0){const Ye=tb(me.width,me.height,O.format,O.type);for(const Ct of O.layerUpdates){const Jt=me.data.subarray(Ct*Ye/me.data.BYTES_PER_ELEMENT,(Ct+1)*Ye/me.data.BYTES_PER_ELEMENT);t.compressedTexSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,Ct,me.width,me.height,1,Ze,Jt)}O.clearLayerUpdates()}else t.compressedTexSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,0,me.width,me.height,Ve.depth,Ze,me.data)}else t.compressedTexImage3D(r.TEXTURE_2D_ARRAY,Xe,K,me.width,me.height,Ve.depth,0,me.data,0,0);else ft("WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()");else J?Ge&&t.texSubImage3D(r.TEXTURE_2D_ARRAY,Xe,0,0,0,me.width,me.height,Ve.depth,Ze,ct,me.data):t.texImage3D(r.TEXTURE_2D_ARRAY,Xe,K,me.width,me.height,Ve.depth,0,Ze,ct,me.data)}else{J&&je&&t.texStorage2D(r.TEXTURE_2D,at,K,et[0].width,et[0].height);for(let Xe=0,Ue=et.length;Xe0){const Xe=tb(Ve.width,Ve.height,O.format,O.type);for(const Ue of O.layerUpdates){const 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null;return n===jh?r.UNSIGNED_INT_24_8:r[n]!==void 0?r[n]:null}return{convert:t}}const RP=` +void main() { + + gl_Position = vec4( position, 1.0 ); + +}`,NP=` +uniform sampler2DArray depthColor; +uniform float depthWidth; +uniform float depthHeight; + +void main() { + + vec2 coord = vec2( gl_FragCoord.x / depthWidth, gl_FragCoord.y / depthHeight ); + + if ( coord.x >= 1.0 ) { + + gl_FragDepth = texture( depthColor, vec3( coord.x - 1.0, coord.y, 1 ) ).r; + + } else { + + gl_FragDepth = texture( depthColor, vec3( coord.x, coord.y, 0 ) ).r; + + } + +}`;class DP{constructor(){this.texture=null,this.mesh=null,this.depthNear=0,this.depthFar=0}init(e,t){if(this.texture===null){const n=new Pb(e.texture);(e.depthNear!==t.depthNear||e.depthFar!==t.depthFar)&&(this.depthNear=e.depthNear,this.depthFar=e.depthFar),this.texture=n}}getMesh(e){if(this.texture!==null&&this.mesh===null){const t=e.cameras[0].viewport,n=new 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Lo=null;function zP(){return Lo===null&&(Lo=new Yr(PP,16,16,tf,Bo),Lo.name="DFG_LUT",Lo.minFilter=oi,Lo.magFilter=oi,Lo.wrapS=Rs,Lo.wrapT=Rs,Lo.generateMipmaps=!1,Lo.needsUpdate=!0),Lo}class jT{constructor(e={}){const{canvas:t=kE(),context:n=null,depth:s=!0,stencil:u=!1,alpha:f=!1,antialias:h=!1,premultipliedAlpha:m=!0,preserveDrawingBuffer:g=!1,powerPreference:_="default",failIfMajorPerformanceCaveat:x=!1,reversedDepthBuffer:b=!1,outputBufferType:M=ts}=e;this.isWebGLRenderer=!0;let A;if(n!==null){if(typeof WebGLRenderingContext<"u"&&n instanceof WebGLRenderingContext)throw new Error("THREE.WebGLRenderer: WebGL 1 is not supported since r163.");A=n.getContextAttributes().alpha}else A=f;const R=M,w=new Set([My,Sy,wm]),E=new Set([ts,vr,qh,jh,_y,xy]),N=new Uint32Array(4),D=new Int32Array(4);let U=null,B=null;const z=[],H=[];let W=null;this.domElement=t,this.debug={checkShaderErrors:!0,onShaderError:null},this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.sortObjects=!0,this.clippingPlanes=[],this.localClippingEnabled=!1,this.toneMapping=gr,this.toneMappingExposure=1,this.transmissionResolutionScale=1;const I=this;let P=!1;this._outputColorSpace=Ia;let Z=0,se=0,te=null,fe=-1,pe=null;const Y=new jn,q=new jn;let ne=null;const be=new yt(0);let Ne=0,X=t.width,oe=t.height,Ae=1,Fe=null,lt=null;const de=new jn(0,0,X,oe),Re=new jn(0,0,X,oe);let tt=!1;const st=new ad;let ht=!1,jt=!1;const tn=new Xt,Nt=new j,Le=new jn,He={background:null,fog:null,environment:null,overrideMaterial:null,isScene:!0};let Oe=!1;function nt(){return te===null?Ae:1}let Q=n;function Et(k,re){return t.getContext(k,re)}try{const k={alpha:!0,depth:s,stencil:u,antialias:h,premultipliedAlpha:m,preserveDrawingBuffer:g,powerPreference:_,failIfMajorPerformanceCaveat:x};if("setAttribute"in t&&t.setAttribute("data-engine",`three.js r${my}`),t.addEventListener("webglcontextlost",Ct,!1),t.addEventListener("webglcontextrestored",Jt,!1),t.addEventListener("webglcontextcreationerror",nn,!1),Q===null){const re="webgl2";if(Q=Et(re,k),Q===null)throw Et(re)?new Error("Error creating WebGL context with your selected attributes."):new Error("Error creating WebGL context.")}}catch(k){throw Rt("WebGLRenderer: "+k.message),k}let ot,Tt,Qe,G,O,ae,Te,Ie,Ee,dt,Ke,vt,Dt,Ve,Ze,ct,K,me,et,J,je,Ge,at,Xe;function Ue(){ot=new BI(Q),ot.init(),Ge=new qT(Q,ot),Tt=new RI(Q,ot,e,Ge),Qe=new wP(Q,ot),Tt.reversedDepthBuffer&&b&&Qe.buffers.depth.setReversed(!0),G=new VI(Q),O=new hP,ae=new CP(Q,ot,Qe,O,Tt,Ge,G),Te=new DI(I),Ie=new zI(I),Ee=new WD(Q),at=new wI(Q,Ee),dt=new FI(Q,Ee,G,at),Ke=new GI(Q,dt,Ee,G),et=new HI(Q,Tt,ae),ct=new NI(O),vt=new fP(I,Te,Ie,ot,Tt,at,ct),Dt=new IP(I,O),Ve=new pP,Ze=new xP(ot),me=new AI(I,Te,Ie,Qe,Ke,A,m),K=new TP(I,Ke,Tt),Xe=new OP(Q,G,Tt,Qe),J=new CI(Q,ot,G),je=new kI(Q,ot,G),G.programs=vt.programs,I.capabilities=Tt,I.extensions=ot,I.properties=O,I.renderLists=Ve,I.shadowMap=K,I.state=Qe,I.info=G}Ue(),R!==ts&&(W=new WI(R,t.width,t.height,s,u));const Ye=new LP(I,Q);this.xr=Ye,this.getContext=function(){return Q},this.getContextAttributes=function(){return Q.getContextAttributes()},this.forceContextLoss=function(){const k=ot.get("WEBGL_lose_context");k&&k.loseContext()},this.forceContextRestore=function(){const k=ot.get("WEBGL_lose_context");k&&k.restoreContext()},this.getPixelRatio=function(){return Ae},this.setPixelRatio=function(k){k!==void 0&&(Ae=k,this.setSize(X,oe,!1))},this.getSize=function(k){return k.set(X,oe)},this.setSize=function(k,re,Se=!0){if(Ye.isPresenting){ft("WebGLRenderer: Can't change size while VR device is presenting.");return}X=k,oe=re,t.width=Math.floor(k*Ae),t.height=Math.floor(re*Ae),Se===!0&&(t.style.width=k+"px",t.style.height=re+"px"),W!==null&&W.setSize(t.width,t.height),this.setViewport(0,0,k,re)},this.getDrawingBufferSize=function(k){return k.set(X*Ae,oe*Ae).floor()},this.setDrawingBufferSize=function(k,re,Se){X=k,oe=re,Ae=Se,t.width=Math.floor(k*Se),t.height=Math.floor(re*Se),this.setViewport(0,0,k,re)},this.setEffects=function(k){if(R===ts){console.error("THREE.WebGLRenderer: setEffects() requires outputBufferType set to HalfFloatType or FloatType.");return}if(k){for(let re=0;re{function Je(){if(ye.forEach(function(mt){O.get(mt).currentProgram.isReady()&&ye.delete(mt)}),ye.size===0){ue(k);return}setTimeout(Je,10)}ot.get("KHR_parallel_shader_compile")!==null?Je():setTimeout(Je,10)})};let Ho=null;function Jr(k){Ho&&Ho(k)}function xr(){na.stop()}function Go(){na.start()}const na=new VT;na.setAnimationLoop(Jr),typeof self<"u"&&na.setContext(self),this.setAnimationLoop=function(k){Ho=k,Ye.setAnimationLoop(k),k===null?na.stop():na.start()},Ye.addEventListener("sessionstart",xr),Ye.addEventListener("sessionend",Go),this.render=function(k,re){if(re!==void 0&&re.isCamera!==!0){Rt("WebGLRenderer.render: camera is not an instance of THREE.Camera.");return}if(P===!0)return;const Se=Ye.enabled===!0&&Ye.isPresenting===!0,ye=W!==null&&(te===null||Se)&&W.begin(I,te);if(k.matrixWorldAutoUpdate===!0&&k.updateMatrixWorld(),re.parent===null&&re.matrixWorldAutoUpdate===!0&&re.updateMatrixWorld(),Ye.enabled===!0&&Ye.isPresenting===!0&&(W===null||W.isCompositing()===!1)&&(Ye.cameraAutoUpdate===!0&&Ye.updateCamera(re),re=Ye.getCamera()),k.isScene===!0&&k.onBeforeRender(I,k,re,te),B=Ze.get(k,H.length),B.init(re),H.push(B),tn.multiplyMatrices(re.projectionMatrix,re.matrixWorldInverse),st.setFromProjectionMatrix(tn,ks,re.reversedDepth),jt=this.localClippingEnabled,ht=ct.init(this.clippingPlanes,jt),U=Ve.get(k,z.length),U.init(),z.push(U),Ye.enabled===!0&&Ye.isPresenting===!0){const mt=I.xr.getDepthSensingMesh();mt!==null&&Fa(mt,re,-1/0,I.sortObjects)}Fa(k,re,0,I.sortObjects),U.finish(),I.sortObjects===!0&&U.sort(Fe,lt),Oe=Ye.enabled===!1||Ye.isPresenting===!1||Ye.hasDepthSensing()===!1,Oe&&me.addToRenderList(U,k),this.info.render.frame++,ht===!0&&ct.beginShadows();const ue=B.state.shadowsArray;if(K.render(ue,k,re),ht===!0&&ct.endShadows(),this.info.autoReset===!0&&this.info.reset(),(ye&&W.hasRenderPass())===!1){const mt=U.opaque,qe=U.transmissive;if(B.setupLights(),re.isArrayCamera){const _t=re.cameras;if(qe.length>0)for(let xt=0,Lt=_t.length;xt0&&Ri(mt,qe,k,re),Oe&&me.render(k),$n(U,k,re)}te!==null&&se===0&&(ae.updateMultisampleRenderTarget(te),ae.updateRenderTargetMipmap(te)),ye&&W.end(I),k.isScene===!0&&k.onAfterRender(I,k,re),at.resetDefaultState(),fe=-1,pe=null,H.pop(),H.length>0?(B=H[H.length-1],ht===!0&&ct.setGlobalState(I.clippingPlanes,B.state.camera)):B=null,z.pop(),z.length>0?U=z[z.length-1]:U=null};function Fa(k,re,Se,ye){if(k.visible===!1)return;if(k.layers.test(re.layers)){if(k.isGroup)Se=k.renderOrder;else if(k.isLOD)k.autoUpdate===!0&&k.update(re);else if(k.isLight)B.pushLight(k),k.castShadow&&B.pushShadow(k);else if(k.isSprite){if(!k.frustumCulled||st.intersectsSprite(k)){ye&&Le.setFromMatrixPosition(k.matrixWorld).applyMatrix4(tn);const mt=Ke.update(k),qe=k.material;qe.visible&&U.push(k,mt,qe,Se,Le.z,null)}}else if((k.isMesh||k.isLine||k.isPoints)&&(!k.frustumCulled||st.intersectsObject(k))){const mt=Ke.update(k),qe=k.material;if(ye&&(k.boundingSphere!==void 0?(k.boundingSphere===null&&k.computeBoundingSphere(),Le.copy(k.boundingSphere.center)):(mt.boundingSphere===null&&mt.computeBoundingSphere(),Le.copy(mt.boundingSphere.center)),Le.applyMatrix4(k.matrixWorld).applyMatrix4(tn)),Array.isArray(qe)){const _t=mt.groups;for(let xt=0,Lt=_t.length;xt0&&ka(ue,re,Se),Je.length>0&&ka(Je,re,Se),mt.length>0&&ka(mt,re,Se),Qe.buffers.depth.setTest(!0),Qe.buffers.depth.setMask(!0),Qe.buffers.color.setMask(!0),Qe.setPolygonOffset(!1)}function Ri(k,re,Se,ye){if((Se.isScene===!0?Se.overrideMaterial:null)!==null)return;if(B.state.transmissionRenderTarget[ye.id]===void 0){const Pt=ot.has("EXT_color_buffer_half_float")||ot.has("EXT_color_buffer_float");B.state.transmissionRenderTarget[ye.id]=new Hs(1,1,{generateMipmaps:!0,type:Pt?Bo:ts,minFilter:Io,samples:Tt.samples,stencilBuffer:u,resolveDepthBuffer:!1,resolveStencilBuffer:!1,colorSpace:Sn.workingColorSpace})}const Je=B.state.transmissionRenderTarget[ye.id],mt=ye.viewport||Y;Je.setSize(mt.z*I.transmissionResolutionScale,mt.w*I.transmissionResolutionScale);const qe=I.getRenderTarget(),_t=I.getActiveCubeFace(),xt=I.getActiveMipmapLevel();I.setRenderTarget(Je),I.getClearColor(be),Ne=I.getClearAlpha(),Ne<1&&I.setClearColor(16777215,.5),I.clear(),Oe&&me.render(Se);const Lt=I.toneMapping;I.toneMapping=gr;const St=ye.viewport;if(ye.viewport!==void 0&&(ye.viewport=void 0),B.setupLightsView(ye),ht===!0&&ct.setGlobalState(I.clippingPlanes,ye),ka(k,Se,ye),ae.updateMultisampleRenderTarget(Je),ae.updateRenderTargetMipmap(Je),ot.has("WEBGL_multisampled_render_to_texture")===!1){let Pt=!1;for(let Mn=0,Bn=re.length;Mn0),St=!!Se.morphAttributes.position,Pt=!!Se.morphAttributes.normal,Mn=!!Se.morphAttributes.color;let Bn=gr;ye.toneMapped&&(te===null||te.isXRRenderTarget===!0)&&(Bn=I.toneMapping);const In=Se.morphAttributes.position||Se.morphAttributes.normal||Se.morphAttributes.color,Wt=In!==void 0?In.length:0,ut=O.get(ye),_n=B.state.lights;if(ht===!0&&(jt===!0||k!==pe)){const Fi=k===pe&&ye.id===fe;ct.setState(ye,k,Fi)}let Ft=!1;ye.version===ut.__version?(ut.needsLights&&ut.lightsStateVersion!==_n.state.version||ut.outputColorSpace!==qe||ue.isBatchedMesh&&ut.batching===!1||!ue.isBatchedMesh&&ut.batching===!0||ue.isBatchedMesh&&ut.batchingColor===!0&&ue.colorTexture===null||ue.isBatchedMesh&&ut.batchingColor===!1&&ue.colorTexture!==null||ue.isInstancedMesh&&ut.instancing===!1||!ue.isInstancedMesh&&ut.instancing===!0||ue.isSkinnedMesh&&ut.skinning===!1||!ue.isSkinnedMesh&&ut.skinning===!0||ue.isInstancedMesh&&ut.instancingColor===!0&&ue.instanceColor===null||ue.isInstancedMesh&&ut.instancingColor===!1&&ue.instanceColor!==null||ue.isInstancedMesh&&ut.instancingMorph===!0&&ue.morphTexture===null||ue.isInstancedMesh&&ut.instancingMorph===!1&&ue.morphTexture!==null||ut.envMap!==_t||ye.fog===!0&&ut.fog!==Je||ut.numClippingPlanes!==void 0&&(ut.numClippingPlanes!==ct.numPlanes||ut.numIntersection!==ct.numIntersection)||ut.vertexAlphas!==xt||ut.vertexTangents!==Lt||ut.morphTargets!==St||ut.morphNormals!==Pt||ut.morphColors!==Mn||ut.toneMapping!==Bn||ut.morphTargetsCount!==Wt)&&(Ft=!0):(Ft=!0,ut.__version=ye.version);let xi=ut.currentProgram;Ft===!0&&(xi=Ha(ye,re,ue));let Ls=!1,Wn=!1,la=!1;const An=xi.getUniforms(),Ni=ut.uniforms;if(Qe.useProgram(xi.program)&&(Ls=!0,Wn=!0,la=!0),ye.id!==fe&&(fe=ye.id,Wn=!0),Ls||pe!==k){Qe.buffers.depth.getReversed()&&k.reversedDepth!==!0&&(k._reversedDepth=!0,k.updateProjectionMatrix()),An.setValue(Q,"projectionMatrix",k.projectionMatrix),An.setValue(Q,"viewMatrix",k.matrixWorldInverse);const ki=An.map.cameraPosition;ki!==void 0&&ki.setValue(Q,Nt.setFromMatrixPosition(k.matrixWorld)),Tt.logarithmicDepthBuffer&&An.setValue(Q,"logDepthBufFC",2/(Math.log(k.far+1)/Math.LN2)),(ye.isMeshPhongMaterial||ye.isMeshToonMaterial||ye.isMeshLambertMaterial||ye.isMeshBasicMaterial||ye.isMeshStandardMaterial||ye.isShaderMaterial)&&An.setValue(Q,"isOrthographic",k.isOrthographicCamera===!0),pe!==k&&(pe=k,Wn=!0,la=!0)}if(ut.needsLights&&(_n.state.directionalShadowMap.length>0&&An.setValue(Q,"directionalShadowMap",_n.state.directionalShadowMap,ae),_n.state.spotShadowMap.length>0&&An.setValue(Q,"spotShadowMap",_n.state.spotShadowMap,ae),_n.state.pointShadowMap.length>0&&An.setValue(Q,"pointShadowMap",_n.state.pointShadowMap,ae)),ue.isSkinnedMesh){An.setOptional(Q,ue,"bindMatrix"),An.setOptional(Q,ue,"bindMatrixInverse");const Fi=ue.skeleton;Fi&&(Fi.boneTexture===null&&Fi.computeBoneTexture(),An.setValue(Q,"boneTexture",Fi.boneTexture,ae))}ue.isBatchedMesh&&(An.setOptional(Q,ue,"batchingTexture"),An.setValue(Q,"batchingTexture",ue._matricesTexture,ae),An.setOptional(Q,ue,"batchingIdTexture"),An.setValue(Q,"batchingIdTexture",ue._indirectTexture,ae),An.setOptional(Q,ue,"batchingColorTexture"),ue._colorsTexture!==null&&An.setValue(Q,"batchingColorTexture",ue._colorsTexture,ae));const bi=Se.morphAttributes;if((bi.position!==void 0||bi.normal!==void 0||bi.color!==void 0)&&et.update(ue,Se,xi),(Wn||ut.receiveShadow!==ue.receiveShadow)&&(ut.receiveShadow=ue.receiveShadow,An.setValue(Q,"receiveShadow",ue.receiveShadow)),ye.isMeshGouraudMaterial&&ye.envMap!==null&&(Ni.envMap.value=_t,Ni.flipEnvMap.value=_t.isCubeTexture&&_t.isRenderTargetTexture===!1?-1:1),ye.isMeshStandardMaterial&&ye.envMap===null&&re.environment!==null&&(Ni.envMapIntensity.value=re.environmentIntensity),Ni.dfgLUT!==void 0&&(Ni.dfgLUT.value=zP()),Wn&&(An.setValue(Q,"toneMappingExposure",I.toneMappingExposure),ut.needsLights&&br(Ni,la),Je&&ye.fog===!0&&Dt.refreshFogUniforms(Ni,Je),Dt.refreshMaterialUniforms(Ni,ye,Ae,oe,B.state.transmissionRenderTarget[k.id]),mv.upload(Q,$r(ut),Ni,ae)),ye.isShaderMaterial&&ye.uniformsNeedUpdate===!0&&(mv.upload(Q,$r(ut),Ni,ae),ye.uniformsNeedUpdate=!1),ye.isSpriteMaterial&&An.setValue(Q,"center",ue.center),An.setValue(Q,"modelViewMatrix",ue.modelViewMatrix),An.setValue(Q,"normalMatrix",ue.normalMatrix),An.setValue(Q,"modelMatrix",ue.matrixWorld),ye.isShaderMaterial||ye.isRawShaderMaterial){const Fi=ye.uniformsGroups;for(let ki=0,Wo=Fi.length;ki0&&ae.useMultisampledRTT(k)===!1?ye=O.get(k).__webglMultisampledFramebuffer:Array.isArray(xt)?ye=xt[Se]:ye=xt,Y.copy(k.viewport),q.copy(k.scissor),ne=k.scissorTest}else Y.copy(de).multiplyScalar(Ae).floor(),q.copy(Re).multiplyScalar(Ae).floor(),ne=tt;if(Se!==0&&(ye=Mr),Qe.bindFramebuffer(Q.FRAMEBUFFER,ye)&&Qe.drawBuffers(k,ye),Qe.viewport(Y),Qe.scissor(q),Qe.setScissorTest(ne),ue){const qe=O.get(k.texture);Q.framebufferTexture2D(Q.FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_CUBE_MAP_POSITIVE_X+re,qe.__webglTexture,Se)}else if(Je){const qe=re;for(let _t=0;_t=0&&re<=k.width-ye&&Se>=0&&Se<=k.height-ue&&(k.textures.length>1&&Q.readBuffer(Q.COLOR_ATTACHMENT0+qe),Q.readPixels(re,Se,ye,ue,Ge.convert(Lt),Ge.convert(St),Je))}finally{const xt=te!==null?O.get(te).__webglFramebuffer:null;Qe.bindFramebuffer(Q.FRAMEBUFFER,xt)}}},this.readRenderTargetPixelsAsync=async function(k,re,Se,ye,ue,Je,mt,qe=0){if(!(k&&k.isWebGLRenderTarget))throw new Error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");let _t=O.get(k).__webglFramebuffer;if(k.isWebGLCubeRenderTarget&&mt!==void 0&&(_t=_t[mt]),_t)if(re>=0&&re<=k.width-ye&&Se>=0&&Se<=k.height-ue){Qe.bindFramebuffer(Q.FRAMEBUFFER,_t);const xt=k.textures[qe],Lt=xt.format,St=xt.type;if(!Tt.textureFormatReadable(Lt))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in RGBA or implementation defined format.");if(!Tt.textureTypeReadable(St))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in UnsignedByteType or implementation defined type.");const Pt=Q.createBuffer();Q.bindBuffer(Q.PIXEL_PACK_BUFFER,Pt),Q.bufferData(Q.PIXEL_PACK_BUFFER,Je.byteLength,Q.STREAM_READ),k.textures.length>1&&Q.readBuffer(Q.COLOR_ATTACHMENT0+qe),Q.readPixels(re,Se,ye,ue,Ge.convert(Lt),Ge.convert(St),0);const Mn=te!==null?O.get(te).__webglFramebuffer:null;Qe.bindFramebuffer(Q.FRAMEBUFFER,Mn);const Bn=Q.fenceSync(Q.SYNC_GPU_COMMANDS_COMPLETE,0);return Q.flush(),await q3(Q,Bn,4),Q.bindBuffer(Q.PIXEL_PACK_BUFFER,Pt),Q.getBufferSubData(Q.PIXEL_PACK_BUFFER,0,Je),Q.deleteBuffer(Pt),Q.deleteSync(Bn),Je}else throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: requested read bounds are out of range.")},this.copyFramebufferToTexture=function(k,re=null,Se=0){const ye=Math.pow(2,-Se),ue=Math.floor(k.image.width*ye),Je=Math.floor(k.image.height*ye),mt=re!==null?re.x:0,qe=re!==null?re.y:0;ae.setTexture2D(k,0),Q.copyTexSubImage2D(Q.TEXTURE_2D,Se,0,0,mt,qe,ue,Je),Qe.unbindTexture()};const eo=Q.createFramebuffer(),Xs=Q.createFramebuffer();this.copyTextureToTexture=function(k,re,Se=null,ye=null,ue=0,Je=null){Je===null&&(ue!==0?(Zh("WebGLRenderer: copyTextureToTexture function signature has changed to support src and dst mipmap levels."),Je=ue,ue=0):Je=0);let mt,qe,_t,xt,Lt,St,Pt,Mn,Bn;const In=k.isCompressedTexture?k.mipmaps[Je]:k.image;if(Se!==null)mt=Se.max.x-Se.min.x,qe=Se.max.y-Se.min.y,_t=Se.isBox3?Se.max.z-Se.min.z:1,xt=Se.min.x,Lt=Se.min.y,St=Se.isBox3?Se.min.z:0;else{const bi=Math.pow(2,-ue);mt=Math.floor(In.width*bi),qe=Math.floor(In.height*bi),k.isDataArrayTexture?_t=In.depth:k.isData3DTexture?_t=Math.floor(In.depth*bi):_t=1,xt=0,Lt=0,St=0}ye!==null?(Pt=ye.x,Mn=ye.y,Bn=ye.z):(Pt=0,Mn=0,Bn=0);const Wt=Ge.convert(re.format),ut=Ge.convert(re.type);let _n;re.isData3DTexture?(ae.setTexture3D(re,0),_n=Q.TEXTURE_3D):re.isDataArrayTexture||re.isCompressedArrayTexture?(ae.setTexture2DArray(re,0),_n=Q.TEXTURE_2D_ARRAY):(ae.setTexture2D(re,0),_n=Q.TEXTURE_2D),Q.pixelStorei(Q.UNPACK_FLIP_Y_WEBGL,re.flipY),Q.pixelStorei(Q.UNPACK_PREMULTIPLY_ALPHA_WEBGL,re.premultiplyAlpha),Q.pixelStorei(Q.UNPACK_ALIGNMENT,re.unpackAlignment);const Ft=Q.getParameter(Q.UNPACK_ROW_LENGTH),xi=Q.getParameter(Q.UNPACK_IMAGE_HEIGHT),Ls=Q.getParameter(Q.UNPACK_SKIP_PIXELS),Wn=Q.getParameter(Q.UNPACK_SKIP_ROWS),la=Q.getParameter(Q.UNPACK_SKIP_IMAGES);Q.pixelStorei(Q.UNPACK_ROW_LENGTH,In.width),Q.pixelStorei(Q.UNPACK_IMAGE_HEIGHT,In.height),Q.pixelStorei(Q.UNPACK_SKIP_PIXELS,xt),Q.pixelStorei(Q.UNPACK_SKIP_ROWS,Lt),Q.pixelStorei(Q.UNPACK_SKIP_IMAGES,St);const An=k.isDataArrayTexture||k.isData3DTexture,Ni=re.isDataArrayTexture||re.isData3DTexture;if(k.isDepthTexture){const bi=O.get(k),Fi=O.get(re),ki=O.get(bi.__renderTarget),Wo=O.get(Fi.__renderTarget);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,ki.__webglFramebuffer),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,Wo.__webglFramebuffer);for(let rs=0;rs<_t;rs++)An&&(Q.framebufferTextureLayer(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,O.get(k).__webglTexture,ue,St+rs),Q.framebufferTextureLayer(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,O.get(re).__webglTexture,Je,Bn+rs)),Q.blitFramebuffer(xt,Lt,mt,qe,Pt,Mn,mt,qe,Q.DEPTH_BUFFER_BIT,Q.NEAREST);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,null),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,null)}else if(ue!==0||k.isRenderTargetTexture||O.has(k)){const bi=O.get(k),Fi=O.get(re);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,eo),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,Xs);for(let ki=0;ki<_t;ki++)An?Q.framebufferTextureLayer(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,bi.__webglTexture,ue,St+ki):Q.framebufferTexture2D(Q.READ_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_2D,bi.__webglTexture,ue),Ni?Q.framebufferTextureLayer(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Fi.__webglTexture,Je,Bn+ki):Q.framebufferTexture2D(Q.DRAW_FRAMEBUFFER,Q.COLOR_ATTACHMENT0,Q.TEXTURE_2D,Fi.__webglTexture,Je),ue!==0?Q.blitFramebuffer(xt,Lt,mt,qe,Pt,Mn,mt,qe,Q.COLOR_BUFFER_BIT,Q.NEAREST):Ni?Q.copyTexSubImage3D(_n,Je,Pt,Mn,Bn+ki,xt,Lt,mt,qe):Q.copyTexSubImage2D(_n,Je,Pt,Mn,xt,Lt,mt,qe);Qe.bindFramebuffer(Q.READ_FRAMEBUFFER,null),Qe.bindFramebuffer(Q.DRAW_FRAMEBUFFER,null)}else 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Error(s(387));var C=l.pendingProps;T=l.memoizedState,v=T.element,ka(o,l),br(l,C,null,p);var F=l.memoizedState;if(C=F.cache,Oe(l,Kn,C),C!==T.cache&&Et(l,[Kn],p,!0),Ds(),C=F.element,Zn&&T.isDehydrated)if(T={element:C,isDehydrated:!1,cache:F.cache},l.updateQueue.baseState=T,l.memoizedState=T,l.flags&256){l=$m(o,l,C,p);break e}else if(C!==v){v=be(Error(s(424)),l),He(v),l=$m(o,l,C,p);break e}else for(Zn&&(Qn=Ig(l.stateNode.containerInfo),Ui=l,dn=!0,or=null,pa=!0),p=xp(l,null,C,p),l.child=p;p;)p.flags=p.flags&-3|4096,p=p.sibling;else{if(Nt(),C===v){l=qs(o,l,p);break e}Zi(o,l,C,p)}l=l.child}return l;case 26:if(ms)return Qu(o,l),o===null?(p=up(l.type,null,l.pendingProps,null))?l.memoizedState=p:dn||(l.stateNode=Kf(l.type,l.pendingProps,Ki.current,l)):l.memoizedState=up(l.type,o.memoizedProps,l.pendingProps,o.memoizedState),null;case 27:if(Li)return Re(l),o===null&&Li&&dn&&(v=l.stateNode=Jf(l.type,l.pendingProps,Ki.current,Xi.current,!1),Ui=l,pa=!0,Qn=ip(l.type,v,Qn)),Zi(o,l,l.pendingProps.children,p),Qu(o,l),o===null&&(l.flags|=4194304),l.child;case 5:return o===null&&dn&&(Yg(l.type,l.pendingProps,Xi.current),(T=v=Qn)&&(v=zg(v,l.type,l.pendingProps,pa),v!==null?(l.stateNode=v,Ui=l,Qn=Ug(v),pa=!1,T=!0):T=!1),T||st(l)),Re(l),T=l.type,C=l.pendingProps,F=o!==null?o.memoizedProps:null,v=C.children,da(T,C)?v=null:F!==null&&da(T,F)&&(l.flags|=32),l.memoizedState!==null&&(T=xt(o,l,Pt,null,null,p),hi?ll._currentValue=T:ll._currentValue2=T),Qu(o,l),Zi(o,l,v,p),l.child;case 6:return o===null&&dn&&(lp(l.pendingProps,Xi.current),(o=p=Qn)&&(p=Bg(p,l.pendingProps,pa),p!==null?(l.stateNode=p,Ui=l,Qn=null,o=!0):o=!1),o||st(l)),null;case 13:return bd(o,l,p);case 4:return lt(l,l.stateNode.containerInfo),v=l.pendingProps,o===null?l.child=Ji(l,null,v,p):Zi(o,l,v,p),l.child;case 11:return Ym(o,l,l.type,l.pendingProps,p);case 7:return Zi(o,l,l.pendingProps,p),l.child;case 8:return Zi(o,l,l.pendingProps.children,p),l.child;case 12:return Zi(o,l,l.pendingProps.children,p),l.child;case 10:return v=l.pendingProps,Oe(l,l.type,v.value),Zi(o,l,v.children,p),l.child;case 9:return T=l.type._context,v=l.pendingProps.children,Qe(l),T=G(T),v=v(T),l.flags|=1,Zi(o,l,v,p),l.child;case 14:return Zm(o,l,l.type,l.pendingProps,p);case 15:return Qm(o,l,l.type,l.pendingProps,p);case 19:return Sd(o,l,p);case 31:return Jm(o,l,p);case 22:return Km(o,l,p,l.pendingProps);case 24:return Qe(l),v=G(Kn),o===null?(T=Ge(),T===null&&(T=rn,C=Te(),T.pooledCache=C,C.refCount++,C!==null&&(T.pooledCacheLanes|=p),T=C),l.memoizedState={parent:v,cache:T},Ri(l),Oe(l,Kn,T)):((o.lanes&p)!==0&&(ka(o,l),br(l,null,null,p),Ds()),T=o.memoizedState,C=l.memoizedState,T.parent!==v?(T={parent:v,cache:v},l.memoizedState=T,l.lanes===0&&(l.memoizedState=l.updateQueue.baseState=T),Oe(l,Kn,v)):(v=C.cache,Oe(l,Kn,v),v!==T.cache&&Et(l,[Kn],p,!0))),Zi(o,l,l.pendingProps.children,p),l.child;case 29:throw l.pendingProps}throw Error(s(156,l.tag))}function os(o){o.flags|=4}function Ju(o){ja&&(o.flags|=8)}function tg(o,l){if(o!==null&&o.child===l.child)return!1;if((l.flags&16)!==0)return!0;for(o=l.child;o!==null;){if((o.flags&8218)!==0||(o.subtreeFlags&8218)!==0)return!0;o=o.sibling}return!1}function Td(o,l,p,v){if(gn)for(p=l.child;p!==null;){if(p.tag===5||p.tag===6)hc(o,p.stateNode);else 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if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)T=C.child,T!==null&&(T.return=C),ng(o,C,!0,!0),T=!0;else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===l)break;for(;C.sibling===null;){if(C.return===null||C.return===l)return T;C=C.return}C.sibling.return=C.return,C=C.sibling}return T}function ig(o,l){if(ja&&tg(o,l)){o=l.stateNode;var p=o.containerInfo,v=Jd();ng(v,l,!1,!1),o.pendingChildren=v,os(l),Cg(p,v)}}function Ad(o,l,p,v){if(gn)o.memoizedProps!==v&&os(l);else if(ja){var T=o.stateNode,C=o.memoizedProps;if((o=tg(o,l))||C!==v){var F=Xi.current;C=wg(T,p,C,v,!o,null),C===T?l.stateNode=T:(Ju(l),Ma(C,p,v,F)&&os(l),l.stateNode=C,o&&Td(C,l,!1,!1))}else l.stateNode=T}}function ca(o,l,p,v,T){if((o.mode&32)!==0&&(p===null?dc(l,v):su(l,p,v))){if(o.flags|=16777216,(T&335544128)===T||Vd(l,v))if(ni(o.stateNode,l,v))o.flags|=8192;else if(mn())o.flags|=8192;else throw ma=lr,uh}else o.flags&=-16777217}function Hl(o,l){if(dp(l)){if(o.flags|=16777216,!pp(l))if(mn())o.flags|=8192;else throw ma=lr,uh}else o.flags&=-16777217}function $u(o,l){l!==null&&(o.flags|=4),o.flags&16384&&(l=o.tag!==22?U():536870912,o.lanes|=l,pu|=l)}function Gl(o,l){if(!dn)switch(o.tailMode){case"hidden":l=o.tail;for(var p=null;l!==null;)l.alternate!==null&&(p=l),l=l.sibling;p===null?o.tail=null:p.sibling=null;break;case"collapsed":p=o.tail;for(var v=null;p!==null;)p.alternate!==null&&(v=p),p=p.sibling;v===null?l||o.tail===null?o.tail=null:o.tail.sibling=null:v.sibling=null}}function Fn(o){var l=o.alternate!==null&&o.alternate.child===o.child,p=0,v=0;if(l)for(var T=o.child;T!==null;)p|=T.lanes|T.childLanes,v|=T.subtreeFlags&65011712,v|=T.flags&65011712,T.return=o,T=T.sibling;else for(T=o.child;T!==null;)p|=T.lanes|T.childLanes,v|=T.subtreeFlags,v|=T.flags,T.return=o,T=T.sibling;return o.subtreeFlags|=v,o.childLanes=p,l}function ag(o,l,p){var v=l.pendingProps;switch(Ae(l),l.tag){case 16:case 15:case 0:case 11:case 7:case 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Photons - light from distant galaxies - strike the CCD and light up specific pixels. This is the raw material for the everything a telescope does."},fe={stepLabel:"Step 1",title:"Photons are hitting the detector",body:"Notice how some pixels are bigger than others? They have more energy."};function ve(){return e.jsx("div",{className:"ccd-intro-screen",children:e.jsxs("div",{className:"ccd-intro-panel",children:[e.jsx("div",{className:"ccd-intro-logo-frame","aria-hidden":"true",children:e.jsx("img",{alt:"",className:"ccd-intro-logo",src:"/glitchhunterlogo.png"})}),e.jsx("div",{className:"ccd-intro-brand",children:e.jsx("span",{className:"ccd-intro-brand-mark",children:"Glitch Hunter's"})}),e.jsxs("div",{className:"ccd-intro-copy",children:[e.jsx("h2",{children:"Guide to Telescopes"}),e.jsx("p",{children:"How do they work? 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Violet means short wavelength and high energy."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Periodogram"}),e.jsx("p",{children:"How the brightness goes up and down over time."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Spectrogram"}),e.jsx("p",{children:"How much there is of each colour."})]}),e.jsxs("div",{className:"ccd-closing-card",children:[e.jsx("strong",{children:"Periodo-spectrogram"}),e.jsx("p",{children:"Binning by both time and wavelength / frequency."})]})]}),e.jsx("p",{className:"ccd-closing-message",children:"You're on your way to becoming a Cosmotologist!"}),e.jsxs("div",{className:"ccd-closing-actions",children:[e.jsx("a",{className:"ccd-experience-button ccd-experience-button-secondary",href:"#orbit",children:"Start Over"}),e.jsx("button",{className:"ccd-experience-button",onClick:()=>{t?.({success:!0,score:100,data:{completedExperience:"ccd-photon-explorer",finalPage:"closing"}})},type:"button",children:"Take the Glitch Gate"})]})]})})}function Ne({page:t}){const n=U[t];return e.jsx("div",{className:"ccd-transition-screen",children:e.jsxs("div",{className:"ccd-transition-card",children:[e.jsx("span",{className:"ccd-stat-label emojilarge",children:n.emoji}),e.jsx("h2",{children:n.title}),e.jsx("p",{children:n.body}),e.jsx("div",{className:"ccd-transition-actions",children:e.jsx("a",{className:"ccd-experience-button",href:`#${n.nextPage}`,children:"Next"})})]})})}const D={eyebrow:"",title:"Space telescope 101",description:"In this interactive tutorial, you will see how photons hit eye of the telescope, and how that is turned into turned into different scientific charts. We`ll cover:"};function we(){const[t,n]=o.useState(.5),s=ie(t),a=B(s.hue,s.saturation,s.lightness,.98);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-energy-panel",children:[e.jsxs("div",{className:"ccd-energy-scale",children:[e.jsx("div",{className:"ccd-energy-spectrum","aria-hidden":"true",style:{"--ccd-spectrum-position":`${t*100}%`,"--ccd-spectrum-color":a}}),e.jsx("div",{className:"ccd-energy-slider-wrap",children:e.jsx("input",{"aria-label":"Photon wavelength and energy slider",className:"ccd-energy-slider",max:1,min:0,onChange:c=>n(Number(c.target.value)),step:.001,type:"range",value:t})}),e.jsxs("div",{className:"ccd-energy-scale-labels",children:[e.jsx("span",{children:"Longer wavelength"}),e.jsx("span",{children:"Shorter wavelength"})]}),e.jsxs("div",{className:"ccd-energy-scale-labels ccd-energy-scale-labels-strong",children:[e.jsx("span",{children:"Red, lower energy"}),e.jsx("span",{children:"Violet, higher energy"})]})]}),e.jsxs("div",{className:"ccd-energy-readout",children:[e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Selected colour"}),e.jsx("strong",{style:{color:a},children:s.label})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Wavelength"}),e.jsxs("strong",{children:[s.wavelength.toFixed(0)," nm"]})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Energy"}),e.jsxs("strong",{children:[s.energy.toFixed(2)," units"]})]})]})]})})}const Ee={eyebrow:"Photon Energy And Wavelength",title:"Photon colour maps to wavelength",description:"Each hit has energy and wavelength. Red means longer wavelength and lower energy, while violet means shorter wavelength and higher energy. Wavelength is mesaured in nano-meters (nm). One nanometer is one billionth of a meter - about the size of a virus. The visible spectrum ranges from around 380 nm (violet) to 750 nm (red). But telescopes can see beyond that, into high-energy ultraviolet and infrared wavelengths that our eyes can´t detect."},Se={stepLabel:"Colour has meaning",title:"One photon, one observation",body:"In this demo, whenever you see the 🟣 colour, it indicates high energy - short wavelength. 🔴 is lower energy, but longer wavelength. "};function Pe({type:t}){if(t==="count-wavelength-time")return e.jsx("div",{className:"ccd-mini-diagram ccd-mini-diagram-grid","aria-hidden":"true",children:Array.from({length:12},(s,a)=>e.jsx("span",{className:"ccd-mini-diagram-grid-cell",style:{opacity:.28+a%4*.14}},a))});const n=t==="count-time"?[.28,.58,.38,.76,.46,.66]:t==="energy-time"?[.22,.5,.42,.88,.56,.72]:[.2,.32,.48,.84,.6,.3];return e.jsx("div",{className:"ccd-mini-diagram","aria-hidden":"true",children:n.map((s,a)=>e.jsx("span",{className:`ccd-mini-diagram-bar${t!=="count-time"?" is-energy":""}`,style:{height:`${s*100}%`}},a))})}function Ce({page:t,onSelect:n,showGuide:s,onToggleGuide:a}){const c=t==="receptor",r=t==="photon",i=t==="eventlist";return e.jsxs("section",{className:"ccd-selector","aria-label":"Visualization selector",children:[e.jsxs("div",{className:"ccd-selector-root",children:[e.jsx("span",{className:"ccd-stat-label",children:"These plots are different ways of binning the same event list."}),e.jsx("p",{children:"Everything begins with the CCD receiving photons. Those hits become rows in an event list. After that, different binning rules produce different plots."})]}),e.jsxs("div",{className:"ccd-selector-raw",children:[e.jsxs("a",{className:`ccd-selector-link${c?" is-active":""}`,href:"#receptor",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Raw data"}),e.jsx("strong",{children:"1. Photons hit CCD pixels"}),e.jsx("span",{children:"This is the detector plane: the spatial pattern of hits on the telescope CCD."})]}),e.jsxs("a",{className:`ccd-selector-link${r?" is-active":""}`,href:"#photon",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Photon properties"}),e.jsx("strong",{children:"2. Colour indicates wavelength and energy"}),e.jsx("span",{children:"Red means lower energy and violet means higher energy, which is why later plots can bin by wavelength."})]}),e.jsxs("a",{className:`ccd-selector-link${i?" is-active":""}`,href:"#eventlist",onClick:n,children:[e.jsx("span",{className:"ccd-selector-link-label",children:"Recorded data"}),e.jsx("strong",{children:"3. Each hit becomes a row: time, energy, x, y"}),e.jsx("span",{children:"This is the FITS-style event table. Every later diagram is derived from these same rows."})]})]}),e.jsx("div",{className:"ccd-selector-section",children:e.jsxs("div",{className:"ccd-selector-axis",children:[e.jsx("span",{className:"ccd-stat-label",children:"4. Choose a binning rule"}),e.jsx("strong",{children:"Derived view: binned visualization"}),e.jsx("p",{children:"These plots are different ways of grouping the same event rows."})]})}),e.jsx("div",{className:"ccd-selector-results",children:ee.map(d=>e.jsxs("a",{className:`ccd-selector-leaf${d.page===t?" is-active":""}`,href:`#${d.page}`,onClick:n,children:[e.jsx("span",{className:"ccd-selector-leaf-dim",children:"Input: same event list"}),e.jsx(Pe,{type:d.diagram}),e.jsx("strong",{children:d.title}),e.jsxs("span",{children:["Rule: ",d.rule]}),e.jsxs("span",{children:["Output: ",d.output]})]},d.page))}),e.jsxs("div",{className:"ccd-selector-current",children:[e.jsx("span",{className:"ccd-stat-label",children:"Recording"}),e.jsx("button",{className:`ccd-selector-option${s?" is-active":""}`,onClick:a,type:"button",children:s?"Guide overlay on":"Guide overlay off"})]})]})}function Te(t){switch(t){case"intro":return D;case"receptor":return je;case"photon":return Ee;case"eventlist":return ke;case"binning":return We;case"flux":return De;case"periodogram":return Le;case"spectrogram":return $e;case"closing":return D;default:return D}}function Ae(t){switch(t){case"intro":return null;case"receptor":return fe;case"photon":return Se;case"eventlist":return Ge;case"binning":return Ye;case"flux":return Be;case"periodogram":return _e;case"spectrogram":return He}}function Me({page:t}){const n=I.indexOf(t),s=n>0?I[n-1]:null,a=n>=0&&n{const r=ue(a.cellIndex),i=(a.time-n)/1e3;return j[a.photonIndex],e.jsxs("div",{className:"ccd-event-table",children:[e.jsx("span",{children:i.toFixed(3)}),e.jsx("span",{style:{color:k(a.photonIndex,.92)},children:a.energy.toFixed(2)}),e.jsx("span",{children:String(r.x).padStart(2,"0")}),e.jsx("span",{children:String(r.y).padStart(2,"0")})]},`${a.time}-${a.cellIndex}-${c}`)}),s.length===0?e.jsxs("div",{className:"ccd-event-table ccd-event-table-empty",children:[e.jsx("span",{children:"No rows yet"}),e.jsx("span",{children:"Waiting"}),e.jsx("span",{children:"--"}),e.jsx("span",{children:"--"})]}):null]})]}),e.jsx("div",{className:"ccd-flux-legend",children:j.map((a,c)=>e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-legend-dot",style:{background:k(c,.92),boxShadow:`0 0 0.8rem ${k(c,.56)}`}}),e.jsx("span",{children:a.label})]},a.label))})]})})}const ke={eyebrow:"FITS Event Table",title:"Photon event list view",description:"The clicks are recorded in a table, called the event list, with the time, energy, and CCD pixel position."},Ge={stepLabel:"Step 3",title:"Each hit becomes a row in the event list",body:"Astronomy pipelines often save these events as FITS tables. This is the raw data you can download from Telescopes like Chandra!"};function Ie({spectralEnergy:t}){const n=Math.max(...t,.01),s=t.reduce((a,c)=>a+c,0)||1;return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Integrated over last 12 completed 1.0 s bins"}),e.jsxs("strong",{children:[s.toFixed(2)," total energy units"]})]}),e.jsx("div",{className:"ccd-periodogram","aria-label":"Periodogram chart",children:j.map((a,c)=>{const r=G(t[c]/n,0,1),i=t[c]/s;return e.jsxs("div",{className:"ccd-periodogram-band",children:[e.jsx("div",{className:"ccd-bar-shell",children:e.jsx("div",{className:"ccd-bar-fill",style:{height:`${18+r*82}%`,background:`linear-gradient(180deg, ${k(c,.55)}, ${k(c,1)})`,boxShadow:`0 0 1.4rem ${k(c,.72)}`}})}),e.jsxs("div",{className:"ccd-band-meta",children:[e.jsx("strong",{children:a.shortLabel}),e.jsxs("span",{children:[a.wavelength," nm"]}),e.jsxs("span",{children:[t[c].toFixed(2)," E"]}),e.jsxs("span",{children:[(i*100).toFixed(1),"%"]})]})]},a.label)})})]})})}const Le={eyebrow:"Spectral power",title:"Spectrogram of energy",description:"We put low-energy on the left, and high energy on the right. The energy of all the photons in each frequency bin integrated over some period (here last 12 secs) gives us the shape of the spectrum during that time."},_e={stepLabel:"Step 6",title:"Spectral power",body:"Spectral power reveals the energy distribution, and it´s very important for many applications. It can tell us a lot about how stars work"};function Oe({spectrogramBins:t}){const n=Math.max(...t.flat(),1);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Clicks per 1.0 s time bin"}),e.jsxs("strong",{children:[L," time bins x ",j.length," frequency bins"]})]}),e.jsxs("div",{className:"ccd-spectrogram-shell",children:[e.jsx("div",{className:"ccd-spectrogram-axis",children:j.map(s=>e.jsx("span",{children:s.label},s.label))}),e.jsx("div",{className:"ccd-spectrogram","aria-label":"Spectrogram heat map",children:j.map((s,a)=>e.jsx("div",{className:"ccd-spectrogram-row",children:t[a].map((c,r)=>e.jsx("span",{className:"ccd-spectrogram-cell",style:{background:k(a,c/n),boxShadow:c>0?`0 0 0.8rem ${k(a,c/n)}`:"none"}},`${s.label}-${r}`))},s.label))})]}),e.jsxs("div",{className:"ccd-spectrogram-footer",children:[e.jsx("span",{children:"Earlier"}),e.jsx("span",{children:"Now"})]})]})})}const $e={eyebrow:"Frequency X Time",title:"Periodo-spectro-gram!",description:"You can play around with the same data and make many charts! This shows the energy arriving during each time bin for each frequency bin!"},He={stepLabel:"Step 7",title:"Binned by time and frequency",body:"Is it useful? Maybe not for a lot of applications, but it looks pretty!"};function Fe({fluxBins:t}){const n=t.some(y=>y>0)?t:[1.2,1.8,1.4,2.1,1.7,1.5,2.3,1.6,1.9,1.4,2,1.7],s=n.map((y,v)=>{const h=n.slice(0,v+1);return h.reduce((T,R)=>T+R,0)/h.length}),a=n[n.length-1]??0,c=n.reduce((y,v)=>y+v,0)/n.length,r=n.reduce((y,v)=>y+(v-c)**2,0)/n.length,i=Math.sqrt(r),d=Math.min(...n),p=Math.max(...n),u=Math.min(...s),m=Math.max(...s),N={min:Math.min(d,u),max:Math.max(p,m)},f=V(n,760,240,N),M=re(n,760,240,N),C=V(s,760,240,N);return e.jsx("div",{className:"ccd-page",children:e.jsxs("div",{className:"ccd-chart-panel ccd-chart-panel-wide",children:[e.jsxs("div",{className:"ccd-chart-head",children:[e.jsx("span",{className:"ccd-stat-label",children:"Total energy per 1.0 s bin"}),e.jsxs("strong",{children:[a.toFixed(2)," energy units in latest bin"]})]}),e.jsxs("div",{className:"ccd-flux-chart-shell",children:[e.jsxs("svg",{className:"ccd-flux-chart",viewBox:"0 0 760 240","aria-label":"Total flux variability chart",preserveAspectRatio:"none",children:[e.jsxs("defs",{children:[e.jsxs("linearGradient",{id:"fluxArea",x1:"0",x2:"0",y1:"0",y2:"1",children:[e.jsx("stop",{offset:"0%",stopColor:"rgba(255, 113, 74, 0.40)"}),e.jsx("stop",{offset:"100%",stopColor:"rgba(125, 100, 255, 0.03)"})]}),e.jsxs("linearGradient",{id:"fluxLine",x1:"0",x2:"1",y1:"0",y2:"0",children:[e.jsx("stop",{offset:"0%",stopColor:"#ff8d66"}),e.jsx("stop",{offset:"55%",stopColor:"#ffd35d"}),e.jsx("stop",{offset:"100%",stopColor:"#8f7dff"})]})]}),n.map((y,v)=>{const h=760/n.length;return e.jsx("rect",{className:v%2===0?"ccd-flux-bin":"ccd-flux-bin ccd-flux-bin-alt",x:v*h,y:0,width:h,height:240},v)}),e.jsx("path",{className:"ccd-flux-area",d:M,fill:"url(#fluxArea)"}),e.jsx("path",{className:"ccd-flux-line",d:f,stroke:"url(#fluxLine)"}),e.jsx("path",{className:"ccd-flux-mean-line",d:C})]}),e.jsxs("div",{className:"ccd-flux-legend",children:[e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-raw"}),e.jsx("span",{children:"Raw flux"})]}),e.jsxs("span",{className:"ccd-flux-legend-item",children:[e.jsx("span",{className:"ccd-flux-legend-swatch ccd-flux-legend-swatch-mean"}),e.jsx("span",{children:"Running mean"})]})]}),e.jsxs("div",{className:"ccd-flux-axis",children:[e.jsx("span",{children:"Earlier"}),e.jsx("span",{children:"Now"})]})]}),e.jsxs("div",{className:"ccd-flux-metrics",children:[e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Mean flux"}),e.jsx("strong",{children:c.toFixed(4)})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Sigma"}),e.jsx("strong",{children:i.toFixed(4)})]}),e.jsxs("div",{className:"ccd-stat",children:[e.jsx("span",{className:"ccd-stat-label",children:"Range"}),e.jsxs("strong",{children:[d.toFixed(4)," to ",p.toFixed(4)]})]})]})]})})}const De={eyebrow:"Flux Variability",title:"Total flux periodogram",description:"If we focus on the energy instead of the count, we get the flux - energy per second. It tells us how the total energy varies over time (1 sec bins)."},Be={stepLabel:"Step 5",title:"Periodogram of flux",body:"This tells you how much the flux varies over time . 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dd{margin:0;color:var(--terminal-green-soft)}.gallery-log-list{display:flex;flex-direction:column;gap:12px;max-height:360px;overflow:auto}.gallery-log-item{padding:12px;border-radius:14px;background:#070c09eb;border:1px solid rgba(125,255,155,.1)}.gallery-pre{margin:0;white-space:pre-wrap;word-break:break-word;color:#d8f9df;font-family:SFMono-Regular,Menlo,monospace;font-size:.78rem;line-height:1.45}@media(max-width:1200px){.gallery-grid{grid-template-columns:minmax(0,1fr) 320px}}@media(max-width:960px){body{overflow:auto}body[data-gallery-mode=shell] #root{height:auto;min-height:100%}.gallery-shell{grid-template-columns:1fr;height:auto}.gallery-sidebar{border-right:0;border-bottom:1px solid rgba(125,255,155,.14)}.gallery-grid{grid-template-columns:1fr}.gallery-viewport-switcher,.gallery-toolbar-actions{justify-content:flex-start}.gallery-stage{min-height:70vh}} diff --git a/public/glitch/glitch_gallery/assets/index-DnqmHVBx.js b/public/glitch/glitch_gallery/assets/index-DnqmHVBx.js new file mode 100644 index 0000000..10c4a01 --- /dev/null +++ b/public/glitch/glitch_gallery/assets/index-DnqmHVBx.js @@ -0,0 +1 @@ +import{k as Zt,V as g,l as U,T as Y,Q as yt,m as bt,b as E,n as Ht,f as Kt,M as Ft,r as b,o as gt,C as Et,F as wt,P as Xt,W as Vt,p as Wt,q as qt,s as Pt,t as Gt,v as Bt,w as Qt,I as Mt,i as $t,j as w,x as Jt,y as te,z as Dt}from"./index-CEeZxcxj.js";const St={type:"change"},et={type:"start"},Ct={type:"end"},V=new Ht,Tt=new Kt,ee=Math.cos(70*Ft.DEG2RAD),h=new g,f=2*Math.PI,a={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6},$=1e-6;class se extends Zt{constructor(t,e=null){super(t,e),this.state=a.NONE,this.target=new g,this.cursor=new g,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minTargetRadius=0,this.maxTargetRadius=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.keyRotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.zoomToCursor=!1,this.autoRotate=!1,this.autoRotateSpeed=2,this.keys={LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"},this.mouseButtons={LEFT:U.ROTATE,MIDDLE:U.DOLLY,RIGHT:U.PAN},this.touches={ONE:Y.ROTATE,TWO:Y.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this._lastPosition=new g,this._lastQuaternion=new yt,this._lastTargetPosition=new g,this._quat=new yt().setFromUnitVectors(t.up,new g(0,1,0)),this._quatInverse=this._quat.clone().invert(),this._spherical=new bt,this._sphericalDelta=new bt,this._scale=1,this._panOffset=new g,this._rotateStart=new E,this._rotateEnd=new E,this._rotateDelta=new E,this._panStart=new E,this._panEnd=new E,this._panDelta=new E,this._dollyStart=new E,this._dollyEnd=new E,this._dollyDelta=new E,this._dollyDirection=new g,this._mouse=new E,this._performCursorZoom=!1,this._pointers=[],this._pointerPositions={},this._controlActive=!1,this._onPointerMove=oe.bind(this),this._onPointerDown=ie.bind(this),this._onPointerUp=ae.bind(this),this._onContextMenu=pe.bind(this),this._onMouseWheel=he.bind(this),this._onKeyDown=le.bind(this),this._onTouchStart=ce.bind(this),this._onTouchMove=de.bind(this),this._onMouseDown=ne.bind(this),this._onMouseMove=re.bind(this),this._interceptControlDown=ue.bind(this),this._interceptControlUp=me.bind(this),this.domElement!==null&&this.connect(this.domElement),this.update()}connect(t){super.connect(t),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointercancel",this._onPointerUp),this.domElement.addEventListener("contextmenu",this._onContextMenu),this.domElement.addEventListener("wheel",this._onMouseWheel,{passive:!1}),this.domElement.getRootNode().addEventListener("keydown",this._interceptControlDown,{passive:!0,capture:!0}),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.ownerDocument.removeEventListener("pointermove",this._onPointerMove),this.domElement.ownerDocument.removeEventListener("pointerup",this._onPointerUp),this.domElement.removeEventListener("pointercancel",this._onPointerUp),this.domElement.removeEventListener("wheel",this._onMouseWheel),this.domElement.removeEventListener("contextmenu",this._onContextMenu),this.stopListenToKeyEvents(),this.domElement.getRootNode().removeEventListener("keydown",this._interceptControlDown,{capture:!0}),this.domElement.style.touchAction="auto"}dispose(){this.disconnect()}getPolarAngle(){return this._spherical.phi}getAzimuthalAngle(){return this._spherical.theta}getDistance(){return this.object.position.distanceTo(this.target)}listenToKeyEvents(t){t.addEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=t}stopListenToKeyEvents(){this._domElementKeyEvents!==null&&(this._domElementKeyEvents.removeEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=null)}saveState(){this.target0.copy(this.target),this.position0.copy(this.object.position),this.zoom0=this.object.zoom}reset(){this.target.copy(this.target0),this.object.position.copy(this.position0),this.object.zoom=this.zoom0,this.object.updateProjectionMatrix(),this.dispatchEvent(St),this.update(),this.state=a.NONE}update(t=null){const e=this.object.position;h.copy(e).sub(this.target),h.applyQuaternion(this._quat),this._spherical.setFromVector3(h),this.autoRotate&&this.state===a.NONE&&this._rotateLeft(this._getAutoRotationAngle(t)),this.enableDamping?(this._spherical.theta+=this._sphericalDelta.theta*this.dampingFactor,this._spherical.phi+=this._sphericalDelta.phi*this.dampingFactor):(this._spherical.theta+=this._sphericalDelta.theta,this._spherical.phi+=this._sphericalDelta.phi);let i=this.minAzimuthAngle,o=this.maxAzimuthAngle;isFinite(i)&&isFinite(o)&&(i<-Math.PI?i+=f:i>Math.PI&&(i-=f),o<-Math.PI?o+=f:o>Math.PI&&(o-=f),i<=o?this._spherical.theta=Math.max(i,Math.min(o,this._spherical.theta)):this._spherical.theta=this._spherical.theta>(i+o)/2?Math.max(i,this._spherical.theta):Math.min(o,this._spherical.theta)),this._spherical.phi=Math.max(this.minPolarAngle,Math.min(this.maxPolarAngle,this._spherical.phi)),this._spherical.makeSafe(),this.enableDamping===!0?this.target.addScaledVector(this._panOffset,this.dampingFactor):this.target.add(this._panOffset),this.target.sub(this.cursor),this.target.clampLength(this.minTargetRadius,this.maxTargetRadius),this.target.add(this.cursor);let n=!1;if(this.zoomToCursor&&this._performCursorZoom||this.object.isOrthographicCamera)this._spherical.radius=this._clampDistance(this._spherical.radius);else{const r=this._spherical.radius;this._spherical.radius=this._clampDistance(this._spherical.radius*this._scale),n=r!=this._spherical.radius}if(h.setFromSpherical(this._spherical),h.applyQuaternion(this._quatInverse),e.copy(this.target).add(h),this.object.lookAt(this.target),this.enableDamping===!0?(this._sphericalDelta.theta*=1-this.dampingFactor,this._sphericalDelta.phi*=1-this.dampingFactor,this._panOffset.multiplyScalar(1-this.dampingFactor)):(this._sphericalDelta.set(0,0,0),this._panOffset.set(0,0,0)),this.zoomToCursor&&this._performCursorZoom){let r=null;if(this.object.isPerspectiveCamera){const l=h.length();r=this._clampDistance(l*this._scale);const m=l-r;this.object.position.addScaledVector(this._dollyDirection,m),this.object.updateMatrixWorld(),n=!!m}else if(this.object.isOrthographicCamera){const l=new g(this._mouse.x,this._mouse.y,0);l.unproject(this.object);const m=this.object.zoom;this.object.zoom=Math.max(this.minZoom,Math.min(this.maxZoom,this.object.zoom/this._scale)),this.object.updateProjectionMatrix(),n=m!==this.object.zoom;const c=new g(this._mouse.x,this._mouse.y,0);c.unproject(this.object),this.object.position.sub(c).add(l),this.object.updateMatrixWorld(),r=h.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),this.zoomToCursor=!1;r!==null&&(this.screenSpacePanning?this.target.set(0,0,-1).transformDirection(this.object.matrix).multiplyScalar(r).add(this.object.position):(V.origin.copy(this.object.position),V.direction.set(0,0,-1).transformDirection(this.object.matrix),Math.abs(this.object.up.dot(V.direction))$||8*(1-this._lastQuaternion.dot(this.object.quaternion))>$||this._lastTargetPosition.distanceToSquared(this.target)>$?(this.dispatchEvent(St),this._lastPosition.copy(this.object.position),this._lastQuaternion.copy(this.object.quaternion),this._lastTargetPosition.copy(this.target),!0):!1}_getAutoRotationAngle(t){return t!==null?f/60*this.autoRotateSpeed*t:f/60/60*this.autoRotateSpeed}_getZoomScale(t){const e=Math.abs(t*.01);return Math.pow(.95,this.zoomSpeed*e)}_rotateLeft(t){this._sphericalDelta.theta-=t}_rotateUp(t){this._sphericalDelta.phi-=t}_panLeft(t,e){h.setFromMatrixColumn(e,0),h.multiplyScalar(-t),this._panOffset.add(h)}_panUp(t,e){this.screenSpacePanning===!0?h.setFromMatrixColumn(e,1):(h.setFromMatrixColumn(e,0),h.crossVectors(this.object.up,h)),h.multiplyScalar(t),this._panOffset.add(h)}_pan(t,e){const i=this.domElement;if(this.object.isPerspectiveCamera){const o=this.object.position;h.copy(o).sub(this.target);let n=h.length();n*=Math.tan(this.object.fov/2*Math.PI/180),this._panLeft(2*t*n/i.clientHeight,this.object.matrix),this._panUp(2*e*n/i.clientHeight,this.object.matrix)}else this.object.isOrthographicCamera?(this._panLeft(t*(this.object.right-this.object.left)/this.object.zoom/i.clientWidth,this.object.matrix),this._panUp(e*(this.object.top-this.object.bottom)/this.object.zoom/i.clientHeight,this.object.matrix)):(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."),this.enablePan=!1)}_dollyOut(t){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale/=t:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_dollyIn(t){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale*=t:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_updateZoomParameters(t,e){if(!this.zoomToCursor)return;this._performCursorZoom=!0;const i=this.domElement.getBoundingClientRect(),o=t-i.left,n=e-i.top,r=i.width,l=i.height;this._mouse.x=o/r*2-1,this._mouse.y=-(n/l)*2+1,this._dollyDirection.set(this._mouse.x,this._mouse.y,1).unproject(this.object).sub(this.object.position).normalize()}_clampDistance(t){return Math.max(this.minDistance,Math.min(this.maxDistance,t))}_handleMouseDownRotate(t){this._rotateStart.set(t.clientX,t.clientY)}_handleMouseDownDolly(t){this._updateZoomParameters(t.clientX,t.clientX),this._dollyStart.set(t.clientX,t.clientY)}_handleMouseDownPan(t){this._panStart.set(t.clientX,t.clientY)}_handleMouseMoveRotate(t){this._rotateEnd.set(t.clientX,t.clientY),this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const e=this.domElement;this._rotateLeft(f*this._rotateDelta.x/e.clientHeight),this._rotateUp(f*this._rotateDelta.y/e.clientHeight),this._rotateStart.copy(this._rotateEnd),this.update()}_handleMouseMoveDolly(t){this._dollyEnd.set(t.clientX,t.clientY),this._dollyDelta.subVectors(this._dollyEnd,this._dollyStart),this._dollyDelta.y>0?this._dollyOut(this._getZoomScale(this._dollyDelta.y)):this._dollyDelta.y<0&&this._dollyIn(this._getZoomScale(this._dollyDelta.y)),this._dollyStart.copy(this._dollyEnd),this.update()}_handleMouseMovePan(t){this._panEnd.set(t.clientX,t.clientY),this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd),this.update()}_handleMouseWheel(t){this._updateZoomParameters(t.clientX,t.clientY),t.deltaY<0?this._dollyIn(this._getZoomScale(t.deltaY)):t.deltaY>0&&this._dollyOut(this._getZoomScale(t.deltaY)),this.update()}_handleKeyDown(t){let e=!1;switch(t.code){case this.keys.UP:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateUp(f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,this.keyPanSpeed),e=!0;break;case this.keys.BOTTOM:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateUp(-f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,-this.keyPanSpeed),e=!0;break;case this.keys.LEFT:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateLeft(f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(this.keyPanSpeed,0),e=!0;break;case this.keys.RIGHT:t.ctrlKey||t.metaKey||t.shiftKey?this.enableRotate&&this._rotateLeft(-f*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(-this.keyPanSpeed,0),e=!0;break}e&&(t.preventDefault(),this.update())}_handleTouchStartRotate(t){if(this._pointers.length===1)this._rotateStart.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._rotateStart.set(i,o)}}_handleTouchStartPan(t){if(this._pointers.length===1)this._panStart.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._panStart.set(i,o)}}_handleTouchStartDolly(t){const e=this._getSecondPointerPosition(t),i=t.pageX-e.x,o=t.pageY-e.y,n=Math.sqrt(i*i+o*o);this._dollyStart.set(0,n)}_handleTouchStartDollyPan(t){this.enableZoom&&this._handleTouchStartDolly(t),this.enablePan&&this._handleTouchStartPan(t)}_handleTouchStartDollyRotate(t){this.enableZoom&&this._handleTouchStartDolly(t),this.enableRotate&&this._handleTouchStartRotate(t)}_handleTouchMoveRotate(t){if(this._pointers.length==1)this._rotateEnd.set(t.pageX,t.pageY);else{const i=this._getSecondPointerPosition(t),o=.5*(t.pageX+i.x),n=.5*(t.pageY+i.y);this._rotateEnd.set(o,n)}this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const e=this.domElement;this._rotateLeft(f*this._rotateDelta.x/e.clientHeight),this._rotateUp(f*this._rotateDelta.y/e.clientHeight),this._rotateStart.copy(this._rotateEnd)}_handleTouchMovePan(t){if(this._pointers.length===1)this._panEnd.set(t.pageX,t.pageY);else{const e=this._getSecondPointerPosition(t),i=.5*(t.pageX+e.x),o=.5*(t.pageY+e.y);this._panEnd.set(i,o)}this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd)}_handleTouchMoveDolly(t){const e=this._getSecondPointerPosition(t),i=t.pageX-e.x,o=t.pageY-e.y,n=Math.sqrt(i*i+o*o);this._dollyEnd.set(0,n),this._dollyDelta.set(0,Math.pow(this._dollyEnd.y/this._dollyStart.y,this.zoomSpeed)),this._dollyOut(this._dollyDelta.y),this._dollyStart.copy(this._dollyEnd);const r=(t.pageX+e.x)*.5,l=(t.pageY+e.y)*.5;this._updateZoomParameters(r,l)}_handleTouchMoveDollyPan(t){this.enableZoom&&this._handleTouchMoveDolly(t),this.enablePan&&this._handleTouchMovePan(t)}_handleTouchMoveDollyRotate(t){this.enableZoom&&this._handleTouchMoveDolly(t),this.enableRotate&&this._handleTouchMoveRotate(t)}_addPointer(t){this._pointers.push(t.pointerId)}_removePointer(t){delete this._pointerPositions[t.pointerId];for(let e=0;eMath.min(e,Math.max(t,s)),tt=(s,t,e,i,o=1)=>{if(typeof s!="number"||Number.isNaN(s))return t;const n=Math.round(s/o)*o;return xe(n,e,i)};function Ot(s){const t=new Jt(16777215,.65);s.add(t);const e=new te(16777215,1.1);e.position.set(20,50,20),e.castShadow=!0,e.shadow.mapSize.width=2048,e.shadow.mapSize.height=2048,s.add(e);const i=new Dt(3900150,1.1,50);i.position.set(-10,10,-10),s.add(i);const o=new Dt(16743001,.9,50);o.position.set(10,-10,10),s.add(o)}function Re(s){if(Array.isArray(s)){s.forEach(t=>t.dispose());return}s.dispose()}function Lt(s){s.traverse(t=>{const e=t;e.geometry&&e.geometry.dispose(),e.material&&Re(e.material)})}function Le({config:s,onComplete:t,onProgress:e,theme:i,className:o}){const n=s.params??{},r=tt(n.gridSize,24,12,80,1),l=tt(n.majorRadius,8,4,10,.5),m=tt(n.minorRadius,3,1,5,.25),[c,st]=b.useState(r),[v,jt]=b.useState({layout:"landscape",width:0,height:0}),it=b.useRef(null),ot=b.useRef(null),W=b.useRef(!1);b.useEffect(()=>{const y=it.current;if(!y)return;const T=()=>{const L=y.clientWidth,_=y.clientHeight;if(!L||!_)return;const d=L>=_?"landscape":"portrait";let p=L,N=_;d==="landscape"?(N=Math.min(_,L*(9/16)),p=N*(16/9)):(p=Math.min(L,_/2),N=p*2),jt({layout:d,width:p,height:N})},M=new ResizeObserver(T);return M.observe(y),T(),()=>{M.disconnect()}},[]),b.useEffect(()=>{st(r),W.current=!1},[s.id,r,l,m]);const 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\ No newline at end of file diff --git a/public/glitch/glitch_lightlane/Component.d.ts b/public/glitch/glitch_lightlane/Component.d.ts new file mode 100644 index 0000000..b416453 --- /dev/null +++ b/public/glitch/glitch_lightlane/Component.d.ts @@ -0,0 +1,14 @@ +import { type GlitchComponentProps } from './types'; +type ComponentDevUiOverrides = { + showNumericDiagnostics?: boolean; + compactNumericDiagnostics?: boolean; + onOpenHarness?: () => void; + onSetParam?: (name: 'complexity' | 'speedup', value: number) => void; + maxComplexity?: number; + maxSpeedup?: number; +}; +type ComponentProps = GlitchComponentProps & { + devUi?: ComponentDevUiOverrides; +}; +export default function Component(props: ComponentProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/DiophantineVectors.d.ts b/public/glitch/glitch_lightlane/components/DiophantineVectors.d.ts new file mode 100644 index 0000000..c58efa8 --- /dev/null +++ b/public/glitch/glitch_lightlane/components/DiophantineVectors.d.ts @@ -0,0 +1,10 @@ +interface DiophantineVectorsProps { + complexity: number; + lightlanes?: boolean; + radius?: number; + distance?: number; + allSectors?: boolean; + cumulative?: boolean; +} +export declare function DiophantineVectors({ complexity, lightlanes, radius, distance, allSectors, cumulative }: DiophantineVectorsProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts b/public/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts new file mode 100644 index 0000000..b2a1b67 --- /dev/null +++ b/public/glitch/glitch_lightlane/components/FanoSweepPanel.d.ts @@ -0,0 +1,22 @@ +import type { GlitchHostBridge } from '../types'; +interface FanoSweepPanelProps { + radius: number; + distance: number; + chandraDistance: number; + allSectors: boolean; + cumulative: boolean; + theta: number; + phi: number; + orbitSpeed: number; + thetaDrift: number; + thetaJitter: number; + phiJitter: number; + K: number; + speedup: number; + usePoisson: boolean; + bottomInset?: number; + onBack?: () => void; + host?: GlitchHostBridge; +} +export declare function FanoSweepPanel(props: FanoSweepPanelProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/OrbitingObject.d.ts b/public/glitch/glitch_lightlane/components/OrbitingObject.d.ts new file mode 100644 index 0000000..8190e96 --- /dev/null +++ b/public/glitch/glitch_lightlane/components/OrbitingObject.d.ts @@ -0,0 +1,12 @@ +import { type MutableRefObject } from 'react'; +interface OrbitingObjectProps { + radius: number; + theta: number; + phi: number; + orbitTime: MutableRefObject; + simTime?: MutableRefObject; + thetaDrift?: number; + paused?: boolean; +} +export declare function OrbitingObject({ radius, theta, phi, orbitTime, simTime, thetaDrift, paused }: OrbitingObjectProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/PoissonShell.d.ts b/public/glitch/glitch_lightlane/components/PoissonShell.d.ts new file mode 100644 index 0000000..002434d --- /dev/null +++ b/public/glitch/glitch_lightlane/components/PoissonShell.d.ts @@ -0,0 +1,3 @@ +export declare function PoissonShell({ radius }: { + radius: number; +}): import("react/jsx-runtime").JSX.Element; diff --git a/public/glitch/glitch_lightlane/components/PulsingSphere.d.ts b/public/glitch/glitch_lightlane/components/PulsingSphere.d.ts new file mode 100644 index 0000000..6673eb6 --- /dev/null +++ b/public/glitch/glitch_lightlane/components/PulsingSphere.d.ts @@ -0,0 +1,6 @@ +interface PulsingSphereProps { + radius: number; + paused?: boolean; +} +export declare function PulsingSphere({ radius, paused }: PulsingSphereProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/SamplingSystem.d.ts b/public/glitch/glitch_lightlane/components/SamplingSystem.d.ts new file mode 100644 index 0000000..ea738ce --- /dev/null +++ b/public/glitch/glitch_lightlane/components/SamplingSystem.d.ts @@ -0,0 +1,29 @@ +import type { GlitchHostBridge, SceneViewMode } from '../types'; +interface SamplingSystemProps { + complexity: number; + radius: number; + distance: number; + theta: number; + phi: number; + observationMode: 'orbit' | 'randomSphere'; + allSectors: boolean; + cumulative: boolean; + K: number; + orbitRadius: number; + orbitVelocity: number; + thetaDrift: number; + thetaJitter: number; + phiJitter: number; + usePoisson: boolean; + speedup: number; + paused: boolean; + sceneView: SceneViewMode; + bottomInset?: number; + showNumericDiagnostics?: boolean; + compactNumericDiagnostics?: boolean; + host?: GlitchHostBridge; + centerDistribution?: boolean; + hideFlyingBars?: boolean; +} +export declare function SamplingSystem({ complexity, radius, distance, theta, phi, observationMode, allSectors, cumulative, K, orbitRadius, orbitVelocity, thetaDrift, thetaJitter, phiJitter, usePoisson, speedup, paused, sceneView, bottomInset, showNumericDiagnostics, compactNumericDiagnostics, host, centerDistribution, hideFlyingBars }: SamplingSystemProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/TargetDisc.d.ts b/public/glitch/glitch_lightlane/components/TargetDisc.d.ts new file mode 100644 index 0000000..4a95429 --- /dev/null +++ b/public/glitch/glitch_lightlane/components/TargetDisc.d.ts @@ -0,0 +1,6 @@ +interface TargetDiscProps { + radius: number; + distance: number; +} +export declare function TargetDisc({ radius, distance }: TargetDiscProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/components/VectorArrow.d.ts b/public/glitch/glitch_lightlane/components/VectorArrow.d.ts new file mode 100644 index 0000000..349ed2a --- /dev/null +++ b/public/glitch/glitch_lightlane/components/VectorArrow.d.ts @@ -0,0 +1,7 @@ +interface VectorArrowProps { + vector: [number, number, number]; + origin?: [number, number, number]; + color?: string; +} +export declare function VectorArrow({ vector, origin, color }: VectorArrowProps): import("react/jsx-runtime").JSX.Element; +export {}; diff --git a/public/glitch/glitch_lightlane/dev.d.ts b/public/glitch/glitch_lightlane/dev.d.ts new file mode 100644 index 0000000..2c068e0 --- /dev/null +++ b/public/glitch/glitch_lightlane/dev.d.ts @@ -0,0 +1 @@ +import './dev-theme.css'; diff --git a/public/glitch/glitch_lightlane/devHostBridge.d.ts b/public/glitch/glitch_lightlane/devHostBridge.d.ts new file mode 100644 index 0000000..3fba17e --- /dev/null +++ b/public/glitch/glitch_lightlane/devHostBridge.d.ts @@ -0,0 +1,8 @@ +import type { GlitchHostBridge } from './types'; +export type DevHostBridgeOptions = { + isMuted?: () => boolean; + onSound?: (id: string, payload?: Record) => void; + onEmit?: (type: string, payload?: unknown) => void; +}; +export declare function createDevHostBridge(options?: DevHostBridgeOptions): GlitchHostBridge; +export declare function attachWindowSoundBridge(host: GlitchHostBridge): () => void; diff --git a/public/glitch/glitch_lightlane/glitch.manifest.json b/public/glitch/glitch_lightlane/glitch.manifest.json new file mode 100644 index 0000000..c4fb622 --- /dev/null +++ b/public/glitch/glitch_lightlane/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "lightlane", + "displayName": "Lightlane Challenge", + "version": "0.1.0", + "folderName": "glitch_lightlane", + "packageName": "@nommo/lightlane", + "entry": "dist/lightlane.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "reference", + "3d" + ] +} diff --git a/public/glitch/glitch_lightlane/hostBridge.d.ts b/public/glitch/glitch_lightlane/hostBridge.d.ts new file mode 100644 index 0000000..fa85f46 --- /dev/null +++ b/public/glitch/glitch_lightlane/hostBridge.d.ts @@ -0,0 +1,17 @@ +import type { GlitchHostBridge } from './types'; +export declare const HOST_SOUND_EVENT = "glitch:play-sound"; +export declare const HOST_STOP_SOUND_EVENT = "glitch:stop-sound"; +export declare const HOST_EMIT_PREFIX = "glitch:host:"; +export declare const SOUND_IDS: { + readonly click: "ui.button_click"; + readonly hover: "ui.button_hover"; + readonly computeStart: "machine.compute_start"; + readonly computeStep: "machine.compute_step"; + readonly computeDone: "machine.compute_done"; + readonly verdictStable: "machine.verdict_stable"; + readonly verdictAlert: "machine.verdict_alert"; +}; +export type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS]; +export declare function safePlaySound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeStopSound(host: GlitchHostBridge | undefined, id: string, payload?: Record): void; +export declare function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown): void; diff --git a/public/glitch/glitch_lightlane/index.d.ts b/public/glitch/glitch_lightlane/index.d.ts new file mode 100644 index 0000000..50f28d5 --- /dev/null +++ b/public/glitch/glitch_lightlane/index.d.ts @@ -0,0 +1,5 @@ +import Component from './Component'; +import { type GlitchComponentMetadata } from './types'; +export default Component; +export declare const metadata: GlitchComponentMetadata; +export type { GlitchComponentProps, GlitchComponentConfig, GlitchComponentResult, GlitchHostBridge } from './types'; diff --git a/public/glitch/glitch_lightlane/lightlane.js b/public/glitch/glitch_lightlane/lightlane.js new file mode 100644 index 0000000..030f745 --- /dev/null +++ b/public/glitch/glitch_lightlane/lightlane.js @@ -0,0 +1,2805 @@ +import { jsx as n, jsxs as i, Fragment as Fe } from "react/jsx-runtime"; +import { useMemo as he, useState as $, useRef as Z, useEffect as de } from "react"; +import { useFrame as Qe } from "@react-three/fiber"; +import { Html as De, Grid as At } from "@react-three/drei"; +import * as Ye from "three"; +import { Color as Dt } from "three"; +function Nt({ vector: e, origin: t = [0, 0, 0], color: o = "#facc15" }) { + const { dir: r, len: l, position: a } = he(() => { + const c = new Ye.Vector3(...t), s = new Ye.Vector3(...e), d = c.distanceTo(s); + return { dir: s.clone().sub(c).normalize(), len: d, position: c }; + }, [e, t]), h = he(() => new Ye.ArrowHelper(r, a, l, o, 0.2 * Math.min(l, 1) + 0.1, 0.1 * Math.min(l, 1) + 0.05), [r, l, a, o]); + return /* @__PURE__ */ n("primitive", { object: h }); +} +function _t(e, t = !1) { + const o = []; + for (let r = 0; r <= e; r++) + for (let l = 0; l <= e - r; l++) { + const a = e - r - l; + if (a >= 0) + if (!t) + o.push([r, l, a]); + else { + const h = r === 0 ? [1] : [1, -1], c = l === 0 ? [1] : [1, -1], s = a === 0 ? [1] : [1, -1]; + for (const d of h) + for (const m of c) + for (const u of s) + o.push([r * d, l * m, a * u]); + } + } + return o; +} +function Ht({ vector: e, radius: t, distance: o, color: r }) { + const { position: l, quaternion: a } = he(() => { + const h = new Ye.Vector3(...e).normalize(), c = new Ye.Vector3(0, 1, 0), s = new Ye.Quaternion().setFromUnitVectors(c, h); + return { position: h.clone().multiplyScalar(o / 2), quaternion: s }; + }, [e, o]); + return /* @__PURE__ */ i("mesh", { position: l, quaternion: a, children: [ + /* @__PURE__ */ n("cylinderGeometry", { args: [t, t, o, 32] }), + /* @__PURE__ */ n("meshStandardMaterial", { color: r, opacity: 0.5, transparent: !0 }) + ] }); +} +function Wt({ complexity: e, lightlanes: t = !1, radius: o = 0.5, distance: r = 5, allSectors: l = !1, cumulative: a = !1 }) { + const h = he(() => { + const s = [], d = a ? 1 : e, m = e; + for (let u = d; u <= m; u++) { + const x = _t(u, l); + for (const y of x) + s.push({ vec: y, c: u }); + } + return s; + }, [e, l, a]), c = (s) => { + const d = a ? Math.max(e, 1) : e; + return `hsl(${270 * (1 - (d > 1 ? (s - 1) / (d - 1) : 1))}, 100%, 50%)`; + }; + return /* @__PURE__ */ n("group", { children: h.map((s, d) => { + const m = a ? c(s.c) : t ? "#ff33c5" : "#4ade80"; + return t ? /* @__PURE__ */ n( + Ht, + { + vector: s.vec, + radius: o, + distance: r, + color: m + }, + `cyl-${d}-${s.vec.join(",")}-${s.c}` + ) : /* @__PURE__ */ n( + Nt, + { + vector: s.vec, + color: m + }, + `vec-${d}-${s.vec.join(",")}-${s.c}` + ); + }) }); +} +const Vt = "glitch:play-sound", jt = "glitch:stop-sound", we = { + click: "ui.button_click", + hover: "ui.button_hover", + computeStart: "machine.compute_start", + computeStep: "machine.compute_step", + computeDone: "machine.compute_done" +}; +function Ct(e, t) { + typeof window > "u" || window.dispatchEvent(new CustomEvent(e, { detail: t })); +} +function Ce(e, t, o) { + try { + if (e?.playSound) { + e.playSound(t, o); + return; + } + } catch { + } + Ct(Vt, { id: t, payload: o }); +} +function Yt(e, t, o) { + try { + if (e?.stopSound) { + e.stopSound(t, o); + return; + } + } catch { + } + Ct(jt, { id: t, payload: o }); +} +const Ue = 1e-12; +function ut(e = 123456789) { + let t = e >>> 0; + return function() { + t |= 0, t = t + 1831565813 | 0; + let r = Math.imul(t ^ t >>> 15, 1 | t); + return r = r + Math.imul(r ^ r >>> 7, 61 | r) ^ r, ((r ^ r >>> 14) >>> 0) / 4294967296; + }; +} +function Ut(e, t = Math.random) { + if (!Number.isFinite(e) || e <= 0) return 0; + if (e < 30) { + const h = Math.exp(-e); + let c = 0, s = 1; + do + c++, s *= t(); + while (s > h); + return c - 1; + } + const o = Math.max(1e-12, t()), r = t(), l = Math.sqrt(-2 * Math.log(o)) * Math.cos(2 * Math.PI * r), a = e + Math.sqrt(e) * l; + return Math.max(0, Math.round(a)); +} +function st(e) { + return [e[0] ?? e.x, e[1] ?? e.y, e[2] ?? e.z]; +} +function Gt(e, t, o) { + return Math.sqrt(e * e + t * t + o * o); +} +function kt(e) { + const t = 2 * Math.PI; + let o = e % t; + return o < 0 && (o += t), o; +} +function Jt(e) { + const t = 2 * e() - 1, o = 2 * Math.PI * e(); + return { + theta: Math.acos(Math.max(-1, Math.min(1, t))), + phi: o + }; +} +function mt(e) { + const t = 2 * Math.PI; + let o = e % t; + return o < 0 && (o += t), o > Math.PI && (o = t - o), o; +} +function Mt(e = Math.random) { + const t = Math.max(1e-12, e()), o = e(); + return Math.sqrt(-2 * Math.log(t)) * Math.cos(2 * Math.PI * o); +} +function qt(e, t, o) { + const r = Math.sin(t); + return [ + e * r * Math.cos(o), + e * Math.cos(t), + e * r * Math.sin(o) + ]; +} +function Xt(e, t = !1, o = !1) { + const r = [], l = o ? 1 : e, a = e; + for (let h = l; h <= a; h++) + for (let c = 0; c <= h; c++) + for (let s = 0; s <= h - c; s++) { + const d = h - c - s; + if (!t) { + r.push([c, s, d]); + continue; + } + const m = c === 0 ? [1] : [1, -1], u = s === 0 ? [1] : [1, -1], x = d === 0 ? [1] : [1, -1]; + for (const y of m) + for (const B of u) + for (const F of x) + r.push([c * y, s * B, d * F]); + } + return r; +} +function wt({ + D: e, + complexity: t, + allSectors: o = !1, + cumulative: r = !1 +}) { + if (!Number.isFinite(e) || e <= 0) return []; + if (!Number.isInteger(t) || t < 1) return []; + const l = Xt(t, o, r), a = []; + for (let h = 0; h < l.length; h++) { + const [c, s, d] = l[h], m = Gt(c, s, d); + m <= Ue || a.push([e * c / m, e * s / m, e * d / m]); + } + return a; +} +function Kt(e, t, o) { + if (!e || e.length === 0 || !Number.isFinite(o) || o <= 0) return 0; + const [r, l, a] = st(t), h = o * o; + let c = 0; + for (let s = 0; s < e.length; s++) { + const [d, m, u] = st(e[s]), x = d * d + m * m + u * u; + if (x <= Ue) continue; + let y = (r * d + l * m + a * u) / x; + y < 0 && (y = 0), y > 1 && (y = 1); + const B = y * d, F = y * m, R = y * u, C = r - B, j = l - F, v = a - R; + C * C + j * j + v * v < h && c++; + } + return c; +} +function Qt(e, t, o, r) { + if (!e || e.length === 0 || !Number.isFinite(t) || t <= 0 || !Number.isFinite(r) || r <= 0) return 0; + const [l, a, h] = st(o), s = t * t - 0.5 * r * r; + let d = 0; + for (let m = 0; m < e.length; m++) { + const [u, x, y] = st(e[m]); + l * u + a * x + h * y > s && d++; + } + return d; +} +function Bt({ D: e, lane_radius: t }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(t) || t <= 0) return 0; + const o = t * t / (4 * e * e); + return o <= 0 ? 0 : o > 1 ? 1 : o; +} +function Zt({ D: e, lane_radius: t, lane_length: o }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(t) || t <= 0 || !Number.isFinite(o) || o <= 0) return 0; + if (o >= e - Ue) + return Bt({ D: e, lane_radius: t }); + const r = t, l = o, a = e - l; + if (r <= a) return 0; + if (r >= e + l) return 1; + const h = Math.sqrt(Math.max(0, e * e - l * l)); + let c; + return r < h ? c = (e * e + l * l - r * r) / (2 * e * l) : r < e ? c = Math.sqrt(Math.max(0, 1 - r * r / (e * e))) : c = -1, Number.isFinite(c) ? (c < -1 && (c = -1), c > 1 && (c = 1), (1 - c) / 2) : 0; +} +function en({ flux: e, D: t, lane_radius: o, dt: r }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(r) || r <= 0) return 0; + const l = Bt({ D: t, lane_radius: o }); + return e * l * r; +} +function tn({ flux: e, D: t, lane_radius: o, lane_length: r, dt: l }) { + if (!Number.isFinite(e) || e <= 0 || !Number.isFinite(l) || l <= 0) return 0; + const a = Zt({ D: t, lane_radius: o, lane_length: r }); + return e * a * l; +} +function Et({ + flux: e, + D: t, + lane_radius: o, + dt: r, + hitTestModel: l = "shell", + lane_length: a +}) { + return l === "segment" ? tn({ flux: e, D: t, lane_radius: o, lane_length: a, dt: r }) : en({ flux: e, D: t, lane_radius: o, dt: r }); +} +function nn(e) { + if (!e || typeof e != "object") + throw new Error("createSamplingSimulation: config object is required."); + const t = e.lane_radius ?? e.radius, o = e.D, r = e.complexity, l = e.flux, a = e.bin_size ?? 1, h = e.sub_bin_sampling ?? 4, c = e.thetaDrift ?? e.theta_drift ?? 0, s = e.thetaJitter ?? e.theta_jitter ?? 0, d = e.phiJitter ?? e.phi_jitter ?? 0, m = e.laneLength ?? e.lane_length ?? e.distance ?? o, u = e.hitTestModel ?? e.hit_test_model ?? "shell", x = e.observationMode ?? e.observation_mode ?? "orbit"; + if (!Number.isFinite(o) || o <= 0) + throw new Error("createSamplingSimulation: D must be a positive number."); + if (!Number.isFinite(t) || t <= 0) + throw new Error("createSamplingSimulation: lane_radius (or radius) must be a positive number."); + if (!Number.isInteger(r) || r < 1) + throw new Error("createSamplingSimulation: complexity must be an integer >= 1."); + if (!Number.isFinite(l) || l < 0) + throw new Error("createSamplingSimulation: flux must be a finite number >= 0."); + if (!Number.isFinite(a) || a <= 0) + throw new Error("createSamplingSimulation: bin_size must be a positive number."); + if (!Number.isInteger(h) || h < 1) + throw new Error("createSamplingSimulation: sub_bin_sampling must be an integer >= 1."); + if (!Number.isFinite(c)) + throw new Error("createSamplingSimulation: thetaDrift must be finite."); + if (!Number.isFinite(s) || s < 0) + throw new Error("createSamplingSimulation: thetaJitter must be a finite number >= 0."); + if (!Number.isFinite(d) || d < 0) + throw new Error("createSamplingSimulation: phiJitter must be a finite number >= 0."); + if (!Number.isFinite(m) || m <= 0) + throw new Error("createSamplingSimulation: laneLength/lane_length/distance must be a positive number."); + if (u !== "shell" && u !== "segment") + throw new Error('createSamplingSimulation: hitTestModel must be "shell" or "segment".'); + if (x !== "orbit" && x !== "randomSphere") + throw new Error('createSamplingSimulation: observationMode must be "orbit" or "randomSphere".'); + return { + D: o, + lane_radius: t, + complexity: r, + flux: l, + bin_size: a, + sub_bin_sampling: h, + theta: mt(e.theta ?? Math.PI / 2), + phi: kt(e.phi ?? 0), + velocity: e.velocity ?? 0, + thetaDrift: c, + thetaJitter: s, + phiJitter: d, + lane_length: m, + hitTestModel: u, + observationMode: x, + allSectors: !!e.allSectors, + cumulative: !!e.cumulative, + usePoisson: e.usePoisson !== !1, + seed: Number.isFinite(e.seed) ? e.seed : 1 + }; +} +function It(e) { + const t = nn(e), o = wt(t), r = t.hitTestModel === "segment" ? wt({ ...t, D: t.lane_length }) : o, l = ut(t.seed), a = ut(t.seed + 1), h = ut(t.seed + 2), c = t.bin_size / t.sub_bin_sampling, s = Et({ + flux: t.flux, + D: t.D, + lane_radius: t.lane_radius, + dt: c, + hitTestModel: t.hitTestModel, + lane_length: t.lane_length + }); + let d = 0, m = 0, u = t.phi, x = t.theta, y = 0, B = 0, F = 0, R = 0, C = 0, j = 0, v = 0; + function L(k, A) { + return t.usePoisson ? Ut(k, A) : k; + } + function O(k = x, A = u) { + return qt(t.D, k, A); + } + function J() { + let k, A; + if (t.observationMode === "randomSphere") { + const P = Jt(h); + k = P.theta, A = P.phi; + } else + k = mt( + x + (t.thetaJitter > 0 ? t.thetaJitter * Mt(h) : 0) + ), A = kt( + u + (t.phiJitter > 0 ? t.phiJitter * Mt(h) : 0) + ); + const ee = O(k, A), z = t.hitTestModel === "segment" ? Kt(r, ee, t.lane_radius) : Qt(o, t.D, ee, t.lane_radius); + j = z; + const D = o.length, N = D > 0 ? z * t.flux * c / D : 0; + return B += L(N, l), F += L(s, a), R += N, v += z, C++, { + laneCount: z, + satPos: ee, + lambdaLightlaneSubBin: N, + phase: A, + theta: k + }; + } + function _() { + const k = C > 0 ? C * c : t.bin_size, A = s * t.sub_bin_sampling, D = { + time: y, + bin_size: k, + lightlane: B, + isotropic: F, + lambdaIsotropic: C > 0 ? s * C : A, + overlaps: j, + overlapsMean: C > 0 ? v / C : 0, + subBins: C, + phase: u, + theta: x, + lambdaLightlaneExpected: R + }; + return B = 0, F = 0, R = 0, v = 0, C = 0, D; + } + return { + config: { ...t }, + getLaneCount() { + return o.length; + }, + getState() { + return { + elapsed: y, + phase: u, + theta: x, + timeInBin: d, + timeInSubBin: m, + accumulatedLightlane: B, + accumulatedIsotropic: F, + expectedLightlaneThisBin: R, + processedSubBinsInCurrentBin: C, + lastLaneCount: j, + laneCount: o.length + }; + }, + reset() { + d = 0, m = 0, u = t.phi, x = t.theta, y = 0, B = 0, F = 0, R = 0, C = 0, j = 0, v = 0; + }, + flushPartialBin() { + if (C <= 0) return null; + const k = _(); + return d = 0, m = 0, k; + }, + simulate(k) { + if (!Number.isFinite(k) || k <= 0) + return { + bins: [], + lastLaneCount: j, + subBinEvents: 0, + elapsed: y + }; + let A = k, ee = 0; + const z = []; + for (; A > Ue; ) { + const D = c - m, N = t.bin_size - d, P = Math.min(A, D, N); + u += t.velocity * P, x = mt(x + t.thetaDrift * P), y += P, m += P, d += P, A -= P, m >= c - Ue && (m = 0, J(), ee++), d >= t.bin_size - Ue && (d = 0, z.push(_())); + } + return { + bins: z, + lastLaneCount: j, + subBinEvents: ee, + elapsed: y + }; + } + }; +} +function Ft(e, t) { + const o = e.n + 1, r = t - e.mean, l = e.mean + r / o, a = e.m2 + r * (t - l); + return { n: o, mean: l, m2: a }; +} +function Pt() { + return { n: 0, mean: 0, m2: 0 }; +} +function on({ + complexity: e, + samplesPerPoint: t, + runsPerPoint: o, + binSize: r, + subBinSampling: l, + props: a, + observationMode: h, + seed: c +}) { + let s = Pt(), d = Pt(), m = 0; + for (let F = 0; F < o; F++) { + const R = It({ + D: a.chandraDistance, + theta: a.theta, + phi: a.phi, + observationMode: h, + velocity: a.orbitSpeed, + thetaDrift: a.thetaDrift, + thetaJitter: a.thetaJitter, + phiJitter: a.phiJitter, + bin_size: r, + complexity: e, + sub_bin_sampling: l, + flux: a.K, + lane_radius: a.radius, + distance: a.distance, + hitTestModel: "segment", + allSectors: a.allSectors, + cumulative: a.cumulative, + usePoisson: a.usePoisson, + seed: c + F * 7919 + }); + F === 0 && (m = R.getLaneCount()); + for (let C = 0; C < t; C++) { + const { bins: j } = R.simulate(r), v = j[0]; + v && (s = Ft(s, v.lightlane), d = Ft(d, v.isotropic)); + } + } + const u = s.n > 1 ? s.m2 / (s.n - 1) : 0, x = d.n > 1 ? d.m2 / (d.n - 1) : 0, y = s.mean > 0 ? u / s.mean : 0, B = d.mean > 0 ? x / d.mean : 0; + return { + complexity: e, + laneCount: m, + meanBlue: s.mean, + meanYellow: d.mean, + fanoBlue: y, + fanoYellow: B, + fanoExcess: Math.max(0, y - B) + }; +} +function rn(e, t = 1) { + const o = e.filter((u) => u.complexity >= t && u.complexity > 1 && u.fanoExcess > 1e-6); + if (o.length < 3) return null; + let r = 0, l = 0, a = 0, h = 0; + const c = o.length; + for (const u of o) { + const x = Math.log(u.laneCount), y = Math.log(u.fanoExcess); + r += x, l += y, a += x * x, h += x * y; + } + const s = c * a - r * r; + if (Math.abs(s) < 1e-12) return null; + const d = (c * h - r * l) / s, m = (l - d * r) / c; + return { + A: Math.exp(m), + alpha: -d, + predictFanoExcessFromLaneCount(u) { + return Math.exp(m + d * Math.log(Math.max(1, u))); + } + }; +} +function an(e, t = 1) { + const o = e.filter((c) => c.complexity >= t && c.complexity > 1 && c.fanoExcess > 1e-6); + if (o.length < 4) return null; + const r = Math.min(...o.map((c) => c.fanoExcess)), l = Math.max(0, r * 0.98); + let a = null; + const h = 80; + for (let c = 0; c <= h; c++) { + const s = c / h * l, d = o.map((O) => ({ x: O.laneCount, y: O.fanoExcess - s })).filter((O) => O.y > 1e-9); + if (d.length < 3) continue; + let m = 0, u = 0, x = 0, y = 0; + const B = d.length; + for (const O of d) { + const J = Math.log(O.x), _ = Math.log(O.y); + m += J, u += _, x += J * J, y += J * _; + } + const F = B * x - m * m; + if (Math.abs(F) < 1e-12) continue; + const R = (B * y - m * u) / F, C = (u - R * m) / B, j = Math.exp(C), v = -R; + if (!(j > 0) || !(v > 0)) continue; + let L = 0; + for (const O of o) { + const J = s + j * Math.pow(Math.max(1, O.laneCount), -v), _ = Math.log(Math.max(1e-9, O.fanoExcess)) - Math.log(Math.max(1e-9, J)); + L += _ * _; + } + (!a || L < a.score) && (a = { A: j, alpha: v, B: s, score: L }); + } + return a ? { + A: a.A, + alpha: a.alpha, + B: a.B, + score: a.score, + predictFanoExcessFromLaneCount(c) { + return a.B + a.A * Math.pow(Math.max(1, c), -a.alpha); + } + } : null; +} +function sn(e) { + const t = e.filter((u) => u.x > 0 && u.y > 0); + if (t.length < 3) return null; + let o = 0, r = 0, l = 0, a = 0; + const h = t.length; + for (const u of t) { + const x = Math.log(u.x), y = Math.log(u.y); + o += x, r += y, l += x * x, a += x * y; + } + const c = h * l - o * o; + if (Math.abs(c) < 1e-12) return null; + const s = (h * a - o * r) / c, d = (r - s * o) / h, m = Math.exp(d); + return { + A: m, + beta: s, + predict(u) { + return m * Math.pow(Math.max(1e-9, u), s); + }, + invert(u) { + return m <= 0 || Math.abs(s) < 1e-12 || u <= 0 ? null : Math.pow(u / m, 1 / s); + } + }; +} +function ln(e, t) { + if (!Number.isFinite(t) || t <= 0 || e.length === 0) return null; + const o = [...e].sort((s, d) => s.complexity - d.complexity), r = [...o].sort((s, d) => s.laneCount - d.laneCount), l = r[0], a = r[r.length - 1]; + if (t <= l.laneCount) + return { complexity: l.complexity, mode: "observed-range" }; + for (let s = 1; s < r.length; s++) { + const d = r[s - 1], m = r[s]; + if (t <= m.laneCount) { + const u = Math.max(1e-9, m.laneCount - d.laneCount), x = (t - d.laneCount) / u; + return { + complexity: d.complexity + x * (m.complexity - d.complexity), + mode: "observed-range" + }; + } + } + const c = sn(o.map((s) => ({ x: s.complexity, y: s.laneCount })))?.invert(t) ?? null; + return c && Number.isFinite(c) ? { complexity: c, mode: "extrapolated" } : { complexity: a.complexity, mode: "observed-max" }; +} +function Tt(e, t, o, r) { + return e.map((l, a) => `${a === 0 ? "M" : "L"} ${o(l.complexity)} ${r(t(l))}`).join(" "); +} +function cn(e) { + return e >= 10 ? e.toFixed(0) : e >= 2 ? e.toFixed(1) : e.toFixed(2); +} +function dn(e, t) { + const r = [ + 0.5, + 0.6, + 0.7, + 0.8, + 0.9, + 1, + 1.1, + 1.2, + 1.4, + 1.6, + 1.8, + 2, + 2.5, + 3, + 4, + 5, + 7.5, + 10 + ].filter((c) => c >= e && c <= t); + if (r.length >= 3) return r; + const l = 5, a = Math.log(e), h = Math.log(t); + return Array.from({ length: l }, (c, s) => { + const d = s / (l - 1); + return Math.exp(a + (h - a) * d); + }); +} +function pn(e) { + const [t, o] = $(40), [r, l] = $(1e3), [a, h] = $(3), [c, s] = $(1), [d, m] = $(4), [u, x] = $("randomSphere"), [y, B] = $(0.05), [F, R] = $(10), [C, j] = $(0), [v, L] = $([]), [O, J] = $(0), [_, k] = $(!1), A = Z(!1), ee = Z(-1), z = () => { + Ce(e.host, we.hover, { page: "fano" }); + }, D = (b, T) => { + Ce(e.host, we.click, { page: "fano", target: b, ...T }); + }; + de(() => { + let b = !1; + return L([]), J(0), k(!0), (async () => { + const T = []; + for (let E = 1; E <= t; E++) { + if (b) return; + const I = on({ + complexity: E, + samplesPerPoint: r, + runsPerPoint: a, + binSize: c, + subBinSampling: d, + props: e, + observationMode: u, + seed: 1e4 + E * 97 + C * 100003 + }); + T.push(I), L([...T]), J(E / t), await new Promise((ne) => setTimeout(ne, 0)); + } + b || k(!1); + })(), () => { + b = !0; + }; + }, [ + t, + r, + a, + c, + d, + u, + C, + e.radius, + e.distance, + e.chandraDistance, + e.allSectors, + e.cumulative, + e.theta, + e.phi, + e.orbitSpeed, + e.thetaDrift, + e.thetaJitter, + e.phiJitter, + e.K, + e.speedup, + e.usePoisson + ]), de(() => { + const b = A.current; + if (A.current = _, _ && !b) { + ee.current = -1, Ce(e.host, we.computeStart, { page: "fano" }); + return; + } + !_ && b && (Yt(e.host, we.computeStep, { page: "fano" }), Ce(e.host, we.computeDone, { page: "fano", points: v.length })); + }, [_, e.host, v.length]), de(() => { + if (!_) return; + const b = Math.floor(O * 10); + b <= ee.current || (ee.current = b, Ce(e.host, we.computeStep, { page: "fano", progress: O })); + }, [O, _, e.host]); + const N = he(() => rn(v, F), [v, F]), P = he(() => an(v, F), [v, F]), H = he(() => { + if (!N || N.alpha <= 0 || y <= 0) return null; + if (P && P.B >= y) + return { + targetExcess: y, + requiredLaneCount: Number.POSITIVE_INFINITY, + measuredCrossing: v.find((se) => se.fanoExcess <= y) ?? null, + complexityEstimate: null, + blockedByFloor: !0, + floorExcess: P.B + }; + const b = P ? Math.max(1e-9, y - P.B) : y, T = P ? P.A : N.A, E = P ? P.alpha : N.alpha, I = Math.pow(T / b, 1 / E); + if (!Number.isFinite(I) || I <= 0) return null; + const ne = v.find((se) => se.fanoExcess <= y) ?? null, G = ln(v, I); + return { + targetExcess: y, + requiredLaneCount: I, + measuredCrossing: ne, + complexityEstimate: G, + blockedByFloor: !1, + floorExcess: P?.B ?? 0 + }; + }, [N, P, v, y]), g = he(() => { + const E = { top: 20, right: 20, bottom: 42, left: 48 }, I = 860 - E.left - E.right, ne = 360 - E.top - E.bottom, G = Math.max(2, t), se = [ + 1, + ...v.map((Y) => Y.fanoBlue), + ...v.map((Y) => Y.fanoYellow), + ...v.map((Y) => 1 + Y.fanoExcess) + ].filter((Y) => Number.isFinite(Y) && Y > 0), ve = Math.min(...se), Re = Math.max(...se), X = Math.max(1e-3, Math.min(0.95, ve * 0.95)), Pe = Math.max(1.05, Re * 1.05), Be = Math.log(X), Je = Math.log(Pe), me = (Y) => E.left + (Y - 1) / (G - 1) * I, Ee = (Y) => { + const Ie = Math.min(Pe, Math.max(X, Y)), le = Math.log(Ie); + return E.top + ne - (le - Be) / Math.max(1e-9, Je - Be) * ne; + }, Se = dn(X, Pe); + return { width: 860, height: 360, margin: E, innerW: I, innerH: ne, xToPx: me, yToPx: Ee, yMax: Pe, yMin: X, yTicks: Se }; + }, [v, t]), ue = he( + () => v.length > 1 ? Tt(v, (b) => b.fanoBlue, g.xToPx, g.yToPx) : "", + [v, g] + ), ke = he( + () => v.length > 1 ? Tt(v, (b) => b.fanoYellow, g.xToPx, g.yToPx) : "", + [v, g] + ), q = v.at(-1) ?? null; + return /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "auto" }, children: /* @__PURE__ */ i( + "div", + { + style: { + width: "100%", + height: "100%", + display: "flex", + flexDirection: "column", + background: "radial-gradient(circle at 20% 10%, rgba(30,41,59,0.9), rgba(2,6,23,0.96))", + color: "var(--terminal-green-soft)", + padding: "16px", + paddingBottom: `${16 + (e.bottomInset ?? 0)}px`, + boxSizing: "border-box", + gap: "12px", + fontFamily: "var(--font-ui)" + }, + children: [ + /* @__PURE__ */ i("div", { style: { display: "flex", justifyContent: "space-between", alignItems: "center", gap: "12px", flexWrap: "wrap" }, children: [ + /* @__PURE__ */ i("div", { children: [ + /* @__PURE__ */ n("div", { style: { fontSize: "14px", fontWeight: 400, letterSpacing: "0.12em", textTransform: "uppercase", fontFamily: "var(--font-headline)", color: "var(--terminal-green-soft)" }, children: "Fano Sweep" }), + /* @__PURE__ */ i("div", { style: { fontSize: "11px", color: "var(--terminal-green)", marginTop: "4px" }, children: [ + "Goal: show ", + "Fano(Blue)", + " trending toward 1.0 (or toward Yellow) as complexity increases." + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", gap: "8px", flexWrap: "wrap" }, children: [ + e.onBack && /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("back-to-simulator"), e.onBack?.(); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "8px 12px", + borderRadius: "8px", + cursor: "pointer", + fontSize: "12px", + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.08em", + textTransform: "uppercase" + }, + children: "Back To Simulator" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("rerun-sweep"), j((b) => b + 1); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: _ ? "rgba(125, 255, 155, 0.14)" : "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "8px 12px", + borderRadius: "8px", + cursor: "pointer", + fontSize: "12px", + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.08em", + textTransform: "uppercase" + }, + children: _ ? "Rerun (queued)" : "Rerun Sweep" + } + ) + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", gap: "8px", flexWrap: "wrap" }, children: [ + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("preset-video-demo"), x("randomSphere"), o(60), l(1200), h(2), s(1), m(4), R(12); + }, + onPointerEnter: z, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.8)", + color: "var(--terminal-green-soft)", + padding: "6px 10px", + borderRadius: 8, + cursor: "pointer", + fontSize: 11, + fontWeight: 400, + fontFamily: "var(--font-headline)", + letterSpacing: "0.06em" + }, + children: "Preset: Video Demo" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + D("preset-robust-sweep"), x("randomSphere"), o(200), l(3e3), h(5), s(1), m(16), R(40); + }, + onPointerEnter: z, + style: { + border: "1px solid rgba(125, 255, 155, 0.32)", + background: "rgba(2,6,23,0.8)", + color: 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var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Bin Size (s)", + /* @__PURE__ */ n( + "input", + { + type: "number", + min: 0.1, + max: 20, + step: 0.1, + value: c, + onChange: (b) => s(Math.max(0.1, Math.min(20, Number(b.target.value) || 0.1))), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Sub-Bin Sampling", + /* @__PURE__ */ n( + "input", + { + type: "number", + min: 1, + max: 256, + step: 1, + value: d, + onChange: (b) => m(Math.max(1, Math.min(256, Math.round(Number(b.target.value) || 1)))), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "4px" }, children: [ + "Observation Mode", + /* @__PURE__ */ i( + "select", + { + value: u, + onChange: (b) => x(b.target.value), + onFocus: () => z(), + style: { background: "#07130b", color: "var(--terminal-green-soft)", border: "1px solid var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" }, + children: [ + /* @__PURE__ */ n("option", { value: "randomSphere", children: "Random Sphere (recommended)" }), + /* @__PURE__ */ n("option", { value: "orbit", children: "Orbit (path-biased)" }) + ] + } + ) + ] }), + /* @__PURE__ */ i("label", { style: { fontSize: "11px", color: 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var(--terminal-panel-border)", borderRadius: "6px", padding: "6px 8px" } + } + ) + ] }), + /* @__PURE__ */ i("div", { style: { fontSize: "11px", color: "var(--terminal-green-soft)", display: "flex", flexDirection: "column", gap: "6px" }, children: [ + "Progress", + /* @__PURE__ */ n("div", { style: { background: "rgba(7,19,11,0.9)", border: "1px solid var(--terminal-panel-border)", borderRadius: "999px", padding: "3px" }, children: /* @__PURE__ */ n( + "div", + { + style: { + height: "8px", + width: `${Math.round(O * 100)}%`, + background: "linear-gradient(90deg, var(--terminal-green-dim), var(--terminal-green-soft))", + borderRadius: "999px", + transition: "width 0.15s ease" + } + } + ) }), + /* @__PURE__ */ n("div", { style: { color: "var(--terminal-green)" }, children: _ ? `Running ${Math.round(O * 100)}%` : "Complete" }) + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { display: "flex", flexDirection: "column", gap: "12px", minHeight: 0, flex: 1 }, children: [ + /* @__PURE__ */ n( + "div", + { + style: { + background: "rgba(7,19,11,0.72)", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "10px", + padding: "10px", + width: "100%", + minWidth: 0, + minHeight: "min(58vh, 520px)" + }, + children: /* @__PURE__ */ i("svg", { viewBox: `0 0 ${g.width} ${g.height}`, style: { width: "100%", height: "100%" }, children: [ + /* @__PURE__ */ n("rect", { x: 0, y: 0, width: g.width, height: g.height, fill: "transparent" }), + g.yTicks.map((b, T) => { + const E = g.yToPx(b); + return /* @__PURE__ */ i("g", { children: [ + /* @__PURE__ */ n("line", { x1: g.margin.left, y1: E, x2: g.margin.left + g.innerW, y2: E, stroke: "rgba(125, 255, 155, 0.12)" }), + /* @__PURE__ */ n("text", { x: 8, y: E + 4, fill: "var(--terminal-green)", fontSize: "10", fontFamily: "var(--font-ui)", children: cn(b) }) + ] }, `ygrid-${T}`); + }), + /* @__PURE__ */ n( + "line", + { + x1: g.margin.left, + y1: g.yToPx(1), + x2: g.margin.left + g.innerW, + y2: g.yToPx(1), + stroke: 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textAnchor: "middle", children: Math.round(E) }) + ] }, `xtick-${T}`); + }), + ke && /* @__PURE__ */ n("path", { d: ke, fill: "none", stroke: "#fbbf24", strokeWidth: "2", opacity: 0.95 }), + ue && /* @__PURE__ */ n("path", { d: ue, fill: "none", stroke: "#60a5fa", strokeWidth: "2.25", opacity: 0.95 }), + N && v.length > 2 && (() => { + const b = v.filter((T) => T.complexity >= F).map((T, E) => { + const I = 1 + N.predictFanoExcessFromLaneCount(T.laneCount); + return `${E === 0 ? 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Re - ve + 1 : E, Pe = se ? 1 : Math.max(1e-9, (G - ne) / E), Be = (f) => { + if (se) { + const S = Math.round(f); + return S <= ve ? 0 : S >= Re ? X - 1 : S - ve; + } + return f < ne ? 0 : f >= G ? X - 1 : Math.floor((f - ne) / Pe); + }, Je = (f) => se ? ve + f : ne + (f + 0.5) * Pe, [me, Ee] = $(new Array(X).fill(0)), [Se, Y] = $(new Array(X).fill(0)), [Ie, le] = $(/* @__PURE__ */ new Set()), [qe, Le] = $(/* @__PURE__ */ new Set()), [Ne, ze] = $([]), $e = Z(0), _e = Z(at()), [U, Ze] = $(at()), et = Z(R), tt = Z(0); + de(() => { + Ee(new Array(X).fill(0)), Y(new Array(X).fill(0)), N.current.fill(-1), P.current.fill(-1), H.current = 0, ue(new Array(D).fill(-1)), q(new Array(D).fill(-1)), le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set()), ze([]), _e.current = at(), Ze(at()), A({ + current: 0, + total: 0, + lastCheck: 0, + overlaps: 0, + currentTheory: 0, + binOverlapsMean: 0, + currentExpectedLightlane: 0 + }); + }, [e, s, t, o, d, r, l, a, m, u, x, y, h, c, B, X]); + const nt = (f, S) => { + if (f.length === 0) return; + let w = 0, oe = 0, te = 0, fe = k.binOverlapsMean, V = k.currentExpectedLightlane, re = _e.current; + for (const ie of f) { + const ge = ie.lightlane, xe = ie.isotropic; + if (w += ge, oe = ge, te = xe, fe = ie.overlapsMean, V = ie.lambdaLightlaneExpected, re = yn(re, ge, xe), N.current[H.current] = ge, P.current[H.current] = xe, H.current++, H.current >= D) { + const Me = Math.max(10, ...N.current.filter((Q) => Q >= 0), ...P.current.filter((Q) => Q >= 0)); + K([...N.current], [...P.current], Me), N.current.fill(-1), P.current.fill(-1), H.current = 0, le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set()); + } + } + _e.current = re, A((ie) => ({ + current: oe, + total: ie.total + w, + lastCheck: Date.now(), + overlaps: S, + currentTheory: te, + binOverlapsMean: fe, + currentExpectedLightlane: V + })), Ze(re), ue([...N.current]), q([...P.current]); + }, He = Z(!1), We = Z(null), ot = (f, S) => { + f.stopPropagation(), He.current = !0, We.current = S, f.target.setPointerCapture(f.pointerId), Ce(O, we.click, { target: `${S}-periodogram`, action: "pointer-down" }); + }, rt = (f, S, w, oe) => { + if (!He.current || We.current !== S) return; + f.stopPropagation(); + const te = f.currentTarget.getBoundingClientRect(), fe = f.clientX - te.left, V = Math.floor(fe / te.width * D); + if (V >= 0 && V < D) { + const re = w[V], ie = S === "observed" ? Ie.has(V) : qe.has(V); + re >= 0 && !ie && W(V, re, S, oe); + } + }, p = (f) => { + f.stopPropagation(), He.current = !1, We.current = null; + }, M = (f, S, w, oe) => { + const te = window.innerWidth, fe = f / D * te, V = te / D, re = Math.max(2, S / oe * 80), xe = w === "observed" ? 25 : 110, Me = Be(S), Q = 20, be = te - 2 * Q, Te = Q + (Me + 0.5) / X * be; + return { startLeft: fe, startBottom: xe, barHeight: re, barWidth: V, targetLeft: Te, targetTop: 150, binIndex: Me }; + }, W = (f, S, w, oe) => { + if (S < 0) return; + const te = Date.now(); + te - tt.current >= 45 && (tt.current = te, Ce(O, we.computeStep, { target: `${w}-periodogram`, value: S })); + const { startLeft: fe, startBottom: V, barHeight: re, barWidth: ie, targetLeft: ge, targetTop: xe } = M(f, S, w, oe), Me = { + id: $e.current++, + value: S, + startLeft: fe, + startBottom: V, + barHeight: re, + barWidth: ie, + targetLeft: ge, + targetTop: xe, + color: w === "observed" ? ae.solid : ce.solid, + type: w + }; + ze((Q) => [...Q, Me]), w === "observed" ? (le((Q) => new Set(Q).add(f)), Ee((Q) => { + const be = [...Q], Te = Be(S); + return be[Te]++, be; + })) : (Le((Q) => new Set(Q).add(f)), Y((Q) => { + const be = [...Q], Te = Be(S); + return be[Te]++, be; + })); + }, K = (f, S, w) => { + const oe = [], te = [...me], fe = [...Se]; + f.forEach((V, re) => { + if (V >= 0) { + const { startLeft: ie, startBottom: ge, barHeight: xe, barWidth: Me, targetLeft: Q, targetTop: be, binIndex: Te } = M(re, V, "observed", w); + oe.push({ + id: $e.current++, + value: V, + startLeft: ie, + startBottom: ge, + barHeight: xe, + barWidth: Me, + targetLeft: Q, + targetTop: be, + color: ae.solid, + type: "observed" + }), te[Te]++; + } + }), S.forEach((V, re) => { + if (V >= 0) { + const { startLeft: ie, startBottom: ge, barHeight: xe, barWidth: Me, targetLeft: Q, targetTop: be, binIndex: Te } = M(re, V, "theory", w); + oe.push({ + id: $e.current++, + value: V, + startLeft: ie, + startBottom: ge, + barHeight: xe, + barWidth: Me, + targetLeft: Q, + targetTop: be, + color: ce.solid, + type: "theory" + }), fe[Te]++; + } + }), ze((V) => [...V, ...oe]), Ee(te), Y(fe); + }; + de(() => { + if (Ne.length > 0) { + const f = setTimeout(() => { + ze([]); + }, 1300); + return () => clearTimeout(f); + } + }, [Ne.length]); + const Ve = Z(0); + de(() => { + H.current < Ve.current && (le(/* @__PURE__ */ new Set()), Le(/* @__PURE__ */ new Set())), Ve.current = H.current; + }), de(() => { + const f = et.current; + if (et.current = R, !R || f) return; + const S = z.flushPartialBin(); + S && nt([S], S.overlaps); + }, [R, z]), Qe((f, S) => { + if (R) return; + const w = z.simulate(S * F); + w.subBinEvents > 0 && A((oe) => ({ ...oe, overlaps: w.lastLaneCount })), nt(w.bins, w.lastLaneCount); + }); + const zt = g.filter((f) => f >= 0), Rt = ke.filter((f) => f >= 0), lt = Math.max(10, Math.max(0, ...zt)), ct = Math.max(10, Math.max(0, ...Rt)), ft = Math.max(1, ...me, ...Se), gt = U.n > 1 ? U.m2Obs / (U.n - 1) : 0, dt = U.n > 1 ? U.m2Iso / (U.n - 1) : 0, Lt = U.meanIso > 0 ? U.meanObs / U.meanIso : 0, xt = dt > 0 ? gt / dt : 0, pt = U.meanObs > 0 ? gt / U.meanObs : 0, Xe = U.meanIso > 0 ? dt / U.meanIso : 0, ht = z.getLaneCount(), bt = ht > 0 && s > 0 ? ht * b / s : 0, yt = v && !L, Ke = C !== "lightlane", Oe = C !== "poisson", $t = Ne.filter((f) => f.type === "theory" && Ke || f.type === "observed" && Oe), Ot = C === "poisson" ? "Shot Noise Distribution" : C === "lightlane" ? "Shot Noise + Lightlane" : "Head to Head", je = { + background: "rgba(255,255,255,0.04)", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "6px", + padding: "6px 8px", + fontFamily: pe + }, vt = /* @__PURE__ */ i("div", { style: { + marginTop: L ? "0" : "12px", + display: "grid", + gridTemplateColumns: L ? "1fr" : "repeat(3, minmax(0, 1fr))", + gap: L ? "6px" : "8px", + fontSize: "10px", + color: Ae, + fontFamily: pe + }, children: [ + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Samples" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace" }, children: U.n }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Mean Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: Ae }, children: U.n > 0 ? Lt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Var Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: xt > 1.1 ? ae.light : ce.light }, children: U.n > 1 ? xt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Lightlane" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: ae.light }, children: U.n > 1 ? pt.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Poisson" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: ce.light }, children: U.n > 1 ? Xe.toFixed(3) : "n/a" }) + ] }), + /* @__PURE__ */ i("div", { style: je, children: [ + /* @__PURE__ */ n("div", { style: { color: ye }, children: "Fano Ratio (Lightlane/Poisson)" }), + /* @__PURE__ */ n("div", { style: { fontFamily: "monospace", color: Xe > 0 && pt / Xe > 1.05 ? ae.light : Ae }, children: U.n > 1 && Xe > 0 ? (pt / Xe).toFixed(3) : "n/a" }) + ] }) + ] }), St = /* @__PURE__ */ i("div", { style: { + marginTop: L ? "6px" : "8px", + display: L ? "grid" : "flex", + gridTemplateColumns: L ? "1fr" : void 0, + justifyContent: L ? void 0 : "center", + gap: L ? "4px" : "12px", + flexWrap: L ? void 0 : "wrap", + fontSize: "10px", + color: ye, + fontFamily: pe + }, children: [ + /* @__PURE__ */ i("span", { children: [ + "LC(now): ", + k.overlaps + ] }), + /* @__PURE__ */ i("span", { children: [ + "LC(bin avg): ", + k.binOverlapsMean.toFixed(2) + ] }), + /* @__PURE__ */ i("span", { children: [ + "LC iso target: ", + Number.isFinite(bt) ? bt.toFixed(2) : "n/a" + ] }), + /* @__PURE__ */ i("span", { children: [ + "E[Lightlane|bin]: ", + k.currentExpectedLightlane.toFixed(2) + ] }), + /* @__PURE__ */ i("span", { children: [ + "Lightlane(last): ", + typeof k.current == "number" ? Number(k.current).toFixed(2) : k.current + ] }), + /* @__PURE__ */ i("span", { children: [ + "Lanes: ", + ht + ] }), + /* @__PURE__ */ i("span", { children: [ + "Mode: ", + a === "randomSphere" ? "Random Sphere" : "Orbit" + ] }), + /* @__PURE__ */ i("span", { children: [ + "theta drift: ", + u.toFixed(3) + ] }), + /* @__PURE__ */ i("span", { children: [ + "theta jitter: ", + x.toFixed(3) + ] }), + /* @__PURE__ */ i("span", { children: [ + "phi jitter: ", + y.toFixed(3) + ] }) + ] }); + return /* @__PURE__ */ i(Fe, { children: [ + !_ && /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none" }, children: /* @__PURE__ */ n(bn, { bars: $t }) }), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", display: "flex", flexDirection: "column", justifyContent: J ? "center" : "flex-start" }, children: [ + /* @__PURE__ */ i("div", { style: { + position: "absolute", + top: "18px", + left: "20px", + right: "20px", + color: Ae, + fontSize: "12px", + fontWeight: 400, + textAlign: "center", + textTransform: "uppercase", + letterSpacing: "0.16em", + fontFamily: it + }, children: [ + Ot, + /* @__PURE__ */ i("span", { style: { fontSize: "10px", fontWeight: "normal", marginLeft: "10px", opacity: 0.8, fontFamily: pe, color: xn }, children: [ + "(λ = ", + b.toFixed(1), + ", σ = ", + T.toFixed(1), + ")" + ] }) + ] }), + /* @__PURE__ */ i("div", { style: { + width: "100%", + padding: J ? "20px" : "60px 20px 20px 20px", + background: J ? "transparent" : "linear-gradient(to bottom, rgba(0,0,0,0.9), transparent)", + fontFamily: pe, + alignSelf: "center" + }, children: [ + /* @__PURE__ */ n("div", { style: { + position: "absolute", + left: "5px", + top: J ? "130px" : "170px", + transform: "rotate(-90deg)", + transformOrigin: "left top", + fontSize: "10px", + color: ye, + fontStyle: "italic", + whiteSpace: "nowrap", + fontFamily: pe + }, children: "← Frequency (how many)" }), + /* @__PURE__ */ n("div", { style: { + display: "flex", + height: "100px", + gap: "2px", + alignItems: "flex-end", + padding: "0 20px" + }, children: me.map((f, S) => { + const w = Se[S], oe = f / ft * 100, te = w / ft * 100; + return /* @__PURE__ */ i("div", { style: { + flex: 1, + display: "flex", + flexDirection: "column", + alignItems: "center", + position: "relative", + height: "100%", + justifyContent: "flex-end" + }, children: [ + /* @__PURE__ */ i("div", { style: { + width: "100%", + display: "flex", + justifyContent: "center", + gap: "1px", + alignItems: "flex-end", + height: "100%", + position: "relative" + }, children: [ + Ke && /* @__PURE__ */ n("div", { style: { + width: Oe ? "45%" : "92%", + height: `${te}%`, + background: `linear-gradient(to top, ${ce.solid}, ${ce.dark})`, + borderRadius: "2px 2px 0 0", + minHeight: w > 0 ? "2px" : "0", + transition: "height 0.3s ease", + boxShadow: w > 0 ? `0 0 5px ${ce.glow}` : "none", + position: "relative" + }, children: w > 0 && /* @__PURE__ */ n("div", { style: { + position: "absolute", + top: "-16px", + left: "50%", + transform: "translateX(-50%)", + fontSize: "9px", + fontWeight: "bold", + color: ce.solid, + textShadow: "0 0 3px rgba(0,0,0,0.8)" + }, children: w }) }), + Oe && /* @__PURE__ */ n("div", { style: { + width: Ke ? "45%" : "92%", + height: `${oe}%`, + background: `linear-gradient(to top, ${ae.solid}, ${ae.dark})`, + borderRadius: "2px 2px 0 0", + minHeight: f > 0 ? "2px" : "0", + transition: "height 0.3s ease", + boxShadow: f > 0 ? `0 0 5px ${ae.glow}` : "none", + position: "relative" + }, children: f > 0 && /* @__PURE__ */ n("div", { style: { + position: "absolute", + top: "-16px", + left: "50%", + transform: "translateX(-50%)", + fontSize: "9px", + fontWeight: "bold", + color: ae.solid, + textShadow: "0 0 3px rgba(0,0,0,0.8)" + }, children: f }) }) + ] }), + /* @__PURE__ */ n("div", { style: { + position: "absolute", + bottom: "-18px", + fontSize: "9px", + color: ye, + fontWeight: "bold", + fontFamily: pe + }, children: Je(S).toFixed(0) }) + ] }, S); + }) }), + /* @__PURE__ */ n("div", { style: { + textAlign: "center", + marginTop: "25px", + fontSize: "10px", + color: ye, + fontStyle: "italic", + fontFamily: pe + }, children: "Photon Count Value →" }), + /* @__PURE__ */ i("div", { style: { + display: "flex", + justifyContent: "center", + gap: "20px", + marginTop: "25px", + fontSize: "10px" + }, children: [ + Ke && /* @__PURE__ */ i("div", { style: { display: "flex", alignItems: "center", gap: "5px" }, children: [ + /* @__PURE__ */ n("div", { style: { width: "12px", height: "12px", background: ce.solid, borderRadius: "2px" } }), + /* @__PURE__ */ n("span", { style: { color: ce.solid }, children: "Theory (Poisson)" }) + ] }), + Oe && /* @__PURE__ */ i("div", { style: { display: "flex", alignItems: "center", gap: "5px" }, children: [ + /* @__PURE__ */ n("div", { style: { width: "12px", height: "12px", background: ae.solid, borderRadius: "2px" } }), + /* @__PURE__ */ n("span", { style: { color: ae.solid }, children: "Observed (Lightlanes)" }) + ] }) + ] }), + yt && vt, + yt && St + ] }) + ] }), + v && L && /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none" }, children: /* @__PURE__ */ i("div", { style: { + position: "absolute", + top: "88px", + left: "12px", + width: "min(300px, calc(100vw - 24px))", + background: "linear-gradient(to bottom, rgba(0,0,0,0.88), rgba(0,0,0,0.55))", + border: "1px solid var(--terminal-panel-border)", + borderRadius: "10px", + padding: "10px", + boxShadow: "0 8px 24px rgba(0,0,0,0.35)", + fontFamily: pe + }, children: [ + /* @__PURE__ */ n("div", { style: { + color: Ae, + fontSize: "10px", + textTransform: "uppercase", + letterSpacing: "0.08em", + marginBottom: "8px", + fontWeight: 400, + fontFamily: it + }, children: "Diagnostics" }), + vt, + St + ] }) }), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", display: "flex", flexDirection: "column", justifyContent: "flex-end", paddingBottom: `${j}px`, boxSizing: "border-box" }, children: [ + Ke && /* @__PURE__ */ i( + "div", + { + onPointerDown: (f) => ot(f, "theory"), + onPointerMove: (f) => rt(f, "theory", ke, ct), + onPointerUp: p, + onPointerLeave: p, + style: { + width: "100%", + height: "100px", + background: `linear-gradient(to top, ${ce.panel}, transparent)`, + display: "flex", + alignItems: "flex-end", + padding: Oe ? "0 20px 5px 20px" : "0 20px 20px 20px", + gap: "2px", + position: "relative", + borderBottom: Oe ? "1px solid #555" : "none", + pointerEvents: "auto", + touchAction: "none", + cursor: "crosshair" + }, + children: [ + /* @__PURE__ */ n("div", { style: { position: "absolute", top: "10px", left: "20px", color: ce.solid, fontSize: "10px", fontWeight: 400, pointerEvents: "none", fontFamily: it, letterSpacing: "0.08em" }, children: "THEORY (Poisson) - Swipe or click to count" }), + ke.map((f, S) => { + const w = qe.has(S); + return /* @__PURE__ */ n( + "div", + { + className: f >= 0 && !w ? "clickable-bar" : "", + style: { + flex: 1, + height: f >= 0 && !w ? `${f / ct * 100}%` : "0", + background: f === 0 ? "rgba(255,255,255,0.1)" : ce.solid, + color: ce.solid, + minHeight: f >= 0 && !w ? "1px" : "0", + transition: "all 0.3s ease", + opacity: w ? 0 : 0.8, + borderRadius: "2px 2px 0 0", + transform: w ? "scale(0)" : "scale(1)", + pointerEvents: "none" + } + }, + S + ); + }), + /* @__PURE__ */ i("div", { style: { position: "absolute", bottom: "10px", right: "80px", color: Ae, fontFamily: pe, fontSize: "10px", pointerEvents: "none" }, children: [ + "Max: ", + ct + ] }) + ] + } + ), + Oe && /* @__PURE__ */ i( + "div", + { + onPointerDown: (f) => ot(f, "observed"), + onPointerMove: (f) => rt(f, "observed", g, lt), + onPointerUp: p, + onPointerLeave: p, + style: { + width: "100%", + height: "100px", + background: "linear-gradient(to top, rgba(0,0,0,0.8), transparent)", + display: "flex", + alignItems: "flex-end", + padding: "0 20px 20px 20px", + gap: "2px", + position: "relative", + pointerEvents: "auto", + touchAction: "none", + cursor: "crosshair" + }, + children: [ + /* @__PURE__ */ n("div", { style: { position: "absolute", top: "10px", left: "20px", color: ae.solid, fontSize: "10px", fontWeight: 400, pointerEvents: "none", fontFamily: it, letterSpacing: "0.08em" }, children: "OBSERVED (Lightlanes) - Swipe or click to count" }), + g.map((f, S) => { + const w = Ie.has(S); + return /* @__PURE__ */ n( + "div", + { + className: f >= 0 && !w ? "clickable-bar" : "", + style: { + flex: 1, + height: f >= 0 && !w ? `${f / lt * 100}%` : "0", + background: f === 0 ? "rgba(255,255,255,0.1)" : f > 0 ? ae.solid : "transparent", + color: ae.solid, + minHeight: f >= 0 && !w ? "2px" : "0", + transition: "all 0.3s ease", + borderTop: f >= 0 && !w ? `2px solid ${ae.light}` : "none", + opacity: w ? 0 : 0.8, + position: "relative", + borderRadius: "2px 2px 0 0", + transform: w ? "scale(0)" : "scale(1)", + pointerEvents: "none" + }, + children: (S + 1) % 5 === 0 && !w && /* @__PURE__ */ n("div", { style: { + position: "absolute", + bottom: "-20px", + left: "50%", + transform: "translateX(-50%)", + width: "1px", + height: "5px", + background: "#fff", + opacity: 0.5, + pointerEvents: "none" + }, children: /* @__PURE__ */ n("span", { style: { position: "absolute", top: "5px", left: "-50%", fontSize: "10px", color: ye, fontFamily: pe }, children: S + 1 }) }) + }, + S + ); + }), + /* @__PURE__ */ i("div", { style: { position: "absolute", bottom: "10px", right: "80px", color: Ae, fontFamily: pe, fontSize: "10px" }, children: [ + "Max: ", + lt + ] }) + ] + } + ) + ] }) + ] }); +} +const Sn = { + complexity: 1, + radius: 2, + distance: 5, + chandraDistance: 6, + showAxes: !1, + // Cleaner look for challenge + lightlanes: !0, + // Always show lightlanes + allSectors: !0, + cumulative: !1, + phi: 0, + theta: Math.PI / 2, + observationMode: "orbit", + orbitSpeed: 0.2, + thetaDrift: 0, + thetaJitter: 0, + phiJitter: 0, + speedup: 1, + K: 1e3, + usePoisson: !0, + sceneView: "both", + hideScenePresentation: !1, + hideFlyingBars: !1, + hideDataBoxes: !1 +}; +function kn(e) { + const t = e.host, o = e.devUi?.compactNumericDiagnostics ?? !1, r = e.devUi?.maxComplexity ?? 20, l = e.devUi?.maxSpeedup ?? 240, a = 74, h = 20, c = e.config?.params || {}, { + complexity: s, + radius: d, + distance: m, + chandraDistance: u, + showAxes: x, + lightlanes: y, + allSectors: B, + cumulative: F, + phi: R, + theta: C, + observationMode: j, + orbitSpeed: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + speedup: _, + K: k, + usePoisson: A, + sceneView: ee, + hideScenePresentation: z, + hideFlyingBars: D, + hideDataBoxes: N + } = { ...Sn, ...c }, P = !N, H = Z(0), g = Z(0), [ue, ke] = $(!1), [q, b] = $("scene"), [T, E] = $(ee), [I, ne] = $(s), [G, se] = $(_), [ve, Re] = $(null), X = Z(null); + de(() => { + E(ee); + }, [ee]), de(() => { + ne(s); + }, [s]), de(() => { + se(_); + }, [_]); + const Pe = G > 20, Be = T !== "lightlane", Je = T !== "poisson", me = q === "scene" && T !== "poisson", Ee = (p) => p === "poisson" ? "Poisson" : p === "lightlane" ? "Lightlane" : "Both", Se = () => { + Ce(t, we.hover, { page: q, sceneView: T }); + }, Y = (p, M) => { + Ce(t, we.click, { page: q, sceneView: T, target: p, ...M }); + }, Ie = (p) => { + Re(p), X.current && clearTimeout(X.current), X.current = setTimeout(() => { + Re(null), X.current = null; + }, 1500); + }, le = (p) => { + const M = Array.from({ length: h }, (W, K) => K === 0 ? 1 : K === h - 1 ? p : Math.round(1 + (p - 1) * K / (h - 1))); + return Array.from(new Set(M)).sort((W, K) => W - K); + }, qe = (p, M) => { + const W = le(M); + return W.find((K) => p < K) ?? W[W.length - 1]; + }, Le = (p, M) => { + const W = le(M); + for (let K = W.length - 1; K >= 0; K -= 1) + if (p > W[K]) return W[K]; + return W[0]; + }, Ne = (p, M) => { + const W = le(M), K = W.findIndex((Ve) => p <= Ve); + return K >= 0 ? K : W.length - 1; + }, ze = Ne(I, r), $e = Ne(G, l), _e = `${(ze + 1) / h * 100}%`, U = `${($e + 1) / h * 100}%`, Ze = me && I > le(r)[0], et = me && I < le(r).at(-1), tt = G > le(l)[0], nt = G < le(l).at(-1), He = (p) => { + if (!me) return; + const M = p === "up" ? qe(I, r) : Le(I, r); + M !== I && (Y("complexity", { direction: p, value: M }), ne(M), e.devUi?.onSetParam?.("complexity", M), Ie(`Complexity ${M}`)); + }, We = (p) => { + const M = p === "up" ? qe(G, l) : Le(G, l); + M !== G && (Y("turbo", { direction: p, value: M }), se(M), e.devUi?.onSetParam?.("speedup", M), Ie(`Turbo ${M}x`)); + }, ot = () => { + const p = ["poisson", "lightlane", "both"], M = p.indexOf(T), W = p[(M + 1) % p.length]; + Y("mode", { value: W }), E(W), Ie(`Mode ${Ee(W)}`); + }, rt = () => { + Y("fano-page", { value: q === "scene" ? "fano" : "scene" }), b((p) => p === "scene" ? "fano" : "scene"); + }; + return de(() => { + const p = (M) => { + if (M.code !== "Space" || M.repeat) return; + const W = M.target, K = W?.tagName; + K === "INPUT" || K === "TEXTAREA" || W?.isContentEditable || (M.preventDefault(), ke((Ve) => !Ve)); + }; + return window.addEventListener("keydown", p), () => window.removeEventListener("keydown", p); + }, []), de(() => () => { + X.current && clearTimeout(X.current); + }, []), Qe((p, M) => { + ue || q === "fano" || (H.current += M * v * G, g.current += M * G); + }), de(() => { + H.current = 0, g.current = 0; + }, [ + I, + d, + m, + u, + R, + C, + j, + v, + L, + O, + J, + G, + k, + B, + F, + A + ]), /* @__PURE__ */ i(Fe, { children: [ + /* @__PURE__ */ n(De, { fullscreen: !0, style: { pointerEvents: "none", zIndex: 3e3 }, children: /* @__PURE__ */ n("div", { style: { position: "absolute", top: 12, right: 12, display: "flex", gap: 8, pointerEvents: "auto" }, children: /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: () => { + Y("advanced"), e.devUi?.onOpenHarness?.(); + }, + onPointerEnter: Se, + style: { + border: "1px solid var(--terminal-panel-border)", + background: "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "10px 12px", + fontSize: 12, + fontWeight: 400, + letterSpacing: "0.08em", + fontFamily: "var(--font-headline)", + textTransform: "uppercase", + cursor: "pointer", + boxShadow: "0 8px 24px rgba(0,0,0,0.25)" + }, + children: "Advanced" + } + ) }) }), + /* @__PURE__ */ n("ambientLight", { intensity: 0.4 }), + /* @__PURE__ */ n("directionalLight", { position: [10, 10, 5], intensity: 1, castShadow: !0 }), + /* @__PURE__ */ n("pointLight", { position: [-10, -10, -10], intensity: 0.5, color: "blue" }), + q === "scene" ? /* @__PURE__ */ i(Fe, { children: [ + !z && Be && /* @__PURE__ */ n(un, { radius: u }), + !z && Je && /* @__PURE__ */ n( + Wt, + { + complexity: I, + lightlanes: y, + radius: d, + distance: m, + allSectors: B, + cumulative: F + } + ), + !z && /* @__PURE__ */ n(mn, { radius: d, paused: ue }), + /* @__PURE__ */ n( + gn, + { + radius: u, + theta: C, + phi: R, + orbitTime: H, + simTime: g, + thetaDrift: L, + paused: ue + } + ), + /* @__PURE__ */ n( + vn, + { + complexity: I, + radius: d, + distance: m, + theta: C, + phi: R, + observationMode: j, + allSectors: B, + cumulative: F, + K: k, + orbitRadius: u, + orbitVelocity: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + usePoisson: A, + speedup: G, + paused: ue, + sceneView: T, + bottomInset: a, + showNumericDiagnostics: P, + compactNumericDiagnostics: o, + host: t, + centerDistribution: z, + hideFlyingBars: D || Pe + } + ), + ue && /* @__PURE__ */ n("group", { position: [0, u + 1.5, 0], children: /* @__PURE__ */ i("mesh", { children: [ + /* @__PURE__ */ n("sphereGeometry", { args: [0.12, 16, 16] }), + /* @__PURE__ */ n("meshBasicMaterial", { color: "#ef4444", toneMapped: !1 }) + ] }) }), + x && /* @__PURE__ */ n("axesHelper", { args: [Math.max(5, I)] }), + /* @__PURE__ */ n( + At, + { + infiniteGrid: !0, + fadeDistance: 50, + sectionColor: "#333", + cellColor: "#111", + position: [0, -0.01, 0] + } + ) + ] }) : /* @__PURE__ */ n( + pn, + { + radius: d, + distance: m, + chandraDistance: u, + allSectors: B, + cumulative: F, + theta: C, + phi: R, + orbitSpeed: v, + thetaDrift: L, + thetaJitter: O, + phiJitter: J, + K: k, + speedup: G, + usePoisson: A, + bottomInset: a, + onBack: () => b("scene"), + host: t + } + ), + /* @__PURE__ */ i(De, { fullscreen: !0, style: { pointerEvents: "none", zIndex: 3200 }, children: [ + ve && /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + top: "50%", + left: "50%", + transform: "translate(-50%, -50%) skewX(-12deg)", + padding: "16px 28px", + color: "var(--terminal-green-soft)", + fontFamily: "var(--font-headline)", + fontStyle: "italic", + fontSize: 42, + letterSpacing: "0.16em", + textTransform: "uppercase", + textShadow: "0 0 20px rgba(125,255,155,0.38), 0 0 42px rgba(125,255,155,0.18)" + }, + children: /* @__PURE__ */ n("span", { style: { display: "inline-block", transform: "skewX(12deg)" }, children: ve }) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 10, + bottom: a + 16, + width: 26, + height: "min(44vh, 320px)", + display: "flex", + alignItems: "flex-end" + }, + children: /* @__PURE__ */ i( + "div", + { + style: { + position: "relative", + width: "100%", + height: "100%", + borderRadius: 14, + border: "1px solid rgba(251,191,36,0.35)", + background: "linear-gradient(to top, rgba(30,18,0,0.92), rgba(7,19,11,0.15))", + boxShadow: "0 0 22px rgba(251,191,36,0.12)", + overflow: "hidden", + opacity: me ? 1 : 0.35, + transition: "opacity 0.2s ease" + }, + children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "6px", + borderRadius: 10, + border: "1px solid rgba(251,191,36,0.14)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 5, + right: 5, + bottom: 5, + height: _e, + borderRadius: 9, + background: "linear-gradient(to top, rgba(245,158,11,0.96), rgba(253,224,71,0.96))", + boxShadow: "0 0 18px rgba(251,191,36,0.5)", + transition: "height 0.25s ease" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "8px 7px", + display: "grid", + gridTemplateRows: `repeat(${h}, 1fr)`, + pointerEvents: "none" + }, + children: Array.from({ length: h }).map((p, M) => /* @__PURE__ */ n( + "div", + { + style: { + borderTop: M === 0 ? "none" : "1px solid rgba(251,191,36,0.15)" + } + }, + `complexity-tick-${M}` + )) + } + ), + /* @__PURE__ */ i( + "div", + { + style: { + position: "absolute", + left: 34, + bottom: 0, + color: "#fcd34d", + fontFamily: "var(--font-headline)", + fontSize: 10, + letterSpacing: "0.08em", + textTransform: "uppercase", + writingMode: "vertical-rl", + transform: "rotate(180deg)", + textShadow: "0 0 12px rgba(251,191,36,0.25)" + }, + children: [ + "Complexity ", + ze + 1, + "/", + h + ] + } + ) + ] + } + ) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + right: 10, + bottom: a + 16, + width: 26, + height: "min(44vh, 320px)", + display: "flex", + alignItems: "flex-end" + }, + children: /* @__PURE__ */ i( + "div", + { + style: { + position: "relative", + width: "100%", + height: "100%", + borderRadius: 14, + border: "1px solid rgba(244,114,182,0.35)", + background: "linear-gradient(to top, rgba(42,7,23,0.94), rgba(7,19,11,0.15))", + boxShadow: "0 0 22px rgba(244,114,182,0.14)", + overflow: "hidden" + }, + children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "6px", + borderRadius: 10, + border: "1px solid rgba(244,114,182,0.14)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 5, + right: 5, + bottom: 5, + height: U, + borderRadius: 9, + background: "linear-gradient(to top, rgba(236,72,153,0.96), rgba(244,114,182,0.98))", + boxShadow: "0 0 18px rgba(244,114,182,0.5)", + transition: "height 0.25s ease" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + inset: "8px 7px", + display: "grid", + gridTemplateRows: `repeat(${h}, 1fr)`, + pointerEvents: "none" + }, + children: Array.from({ length: h }).map((p, M) => /* @__PURE__ */ n( + "div", + { + style: { + borderTop: M === 0 ? "none" : "1px solid rgba(244,114,182,0.15)" + } + }, + `turbo-tick-${M}` + )) + } + ), + /* @__PURE__ */ i( + "div", + { + style: { + position: "absolute", + right: 34, + bottom: 0, + color: "#f9a8d4", + fontFamily: "var(--font-headline)", + fontSize: 10, + letterSpacing: "0.08em", + textTransform: "uppercase", + writingMode: "vertical-rl", + textShadow: "0 0 12px rgba(244,114,182,0.25)" + }, + children: [ + "Turbo ", + $e + 1, + "/", + h + ] + } + ) + ] + } + ) + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + left: 12, + right: 12, + bottom: 10, + display: "grid", + gridTemplateColumns: "repeat(4, minmax(0, 1fr))", + gap: 8, + pointerEvents: "auto" + }, + children: [ + { + label: "Complexity", + kind: "adjust", + active: !1, + disabled: !me, + accent: "rgba(245,158,11,0.2)", + sublabel: `${I} • ${ze + 1}/${h}`, + meterColor: "linear-gradient(to top, rgba(245,158,11,0.95), rgba(253,224,71,0.95))", + meterSide: "left", + meterFill: _e, + onDecrease: () => He("down"), + onIncrease: () => He("up"), + canDecrease: Ze, + canIncrease: et + }, + { + label: "Mode", + kind: "action", + onClick: ot, + active: !1, + accent: "rgba(59,130,246,0.18)", + sublabel: Ee(T) + }, + { + label: "Fano Sweep", + kind: "action", + onClick: rt, + active: q === "fano", + accent: "rgba(59,130,246,0.22)", + sublabel: q === "fano" ? "Open" : "Scene" + }, + { + label: "Turbo", + kind: "adjust", + active: !1, + accent: "rgba(34,197,94,0.2)", + sublabel: `${G}x • ${$e + 1}/${h}`, + meterColor: "linear-gradient(to top, rgba(236,72,153,0.95), rgba(244,114,182,0.95))", + meterSide: "right", + meterFill: U, + onDecrease: () => We("down"), + onIncrease: () => We("up"), + canDecrease: tt, + canIncrease: nt + } + ].map((p) => p.kind === "adjust" ? /* @__PURE__ */ i( + "div", + { + style: { + minHeight: 54, + border: "1px solid var(--terminal-panel-border)", + background: p.active ? p.accent : "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "8px 10px", + display: "flex", + flexDirection: "column", + alignItems: "center", + justifyContent: "center", + gap: 6, + boxShadow: p.active ? "0 0 18px rgba(125,255,155,0.12)" : "0 8px 24px rgba(0,0,0,0.25)", + position: "relative", + overflow: "hidden", + opacity: p.disabled ? 0.38 : 1 + }, + children: [ + "meterColor" in p && /* @__PURE__ */ i(Fe, { children: [ + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + top: 6, + bottom: 6, + left: p.meterSide === "left" ? 6 : void 0, + right: p.meterSide === "right" ? 6 : void 0, + width: 6, + borderRadius: 999, + background: "rgba(255,255,255,0.07)", + border: "1px solid rgba(255,255,255,0.08)" + } + } + ), + /* @__PURE__ */ n( + "div", + { + style: { + position: "absolute", + bottom: 7, + left: p.meterSide === "left" ? 7 : void 0, + right: p.meterSide === "right" ? 7 : void 0, + width: 4, + height: p.meterFill, + borderRadius: 999, + background: p.meterColor, + boxShadow: p.meterSide === "left" ? "0 0 10px rgba(251,191,36,0.45)" : "0 0 10px rgba(244,114,182,0.45)", + transition: "height 0.25s ease" + } + } + ) + ] }), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-headline)", + fontSize: 11, + fontWeight: 400, + letterSpacing: "0.08em", + textTransform: "uppercase", + lineHeight: 1.1 + }, + children: p.label + } + ), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-ui)", + fontSize: 10, + color: "var(--terminal-green)", + letterSpacing: "0.08em", + lineHeight: 1 + }, + children: p.sublabel + } + ), + /* @__PURE__ */ i("div", { style: { display: "grid", gridTemplateColumns: "repeat(2, minmax(0, 1fr))", gap: 6, width: "100%", marginTop: "auto" }, children: [ + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: p.onDecrease, + onPointerEnter: Se, + disabled: p.disabled || !p.canDecrease, + style: { + border: "1px solid rgba(255,255,255,0.12)", + background: "rgba(255,255,255,0.04)", + color: "var(--terminal-green-soft)", + borderRadius: 8, + minHeight: 24, + cursor: p.disabled || !p.canDecrease ? "not-allowed" : "pointer", + fontFamily: "var(--font-headline)", + fontSize: 12, + letterSpacing: "0.08em", + opacity: p.disabled || !p.canDecrease ? 0.35 : 1, + position: "relative", + zIndex: 1 + }, + children: "-" + } + ), + /* @__PURE__ */ n( + "button", + { + type: "button", + onClick: p.onIncrease, + onPointerEnter: Se, + disabled: p.disabled || !p.canIncrease, + style: { + border: "1px solid rgba(255,255,255,0.12)", + background: "rgba(255,255,255,0.04)", + color: "var(--terminal-green-soft)", + borderRadius: 8, + minHeight: 24, + cursor: p.disabled || !p.canIncrease ? "not-allowed" : "pointer", + fontFamily: "var(--font-headline)", + fontSize: 12, + letterSpacing: "0.08em", + opacity: p.disabled || !p.canIncrease ? 0.35 : 1, + position: "relative", + zIndex: 1 + }, + children: "+" + } + ) + ] }) + ] + }, + p.label + ) : /* @__PURE__ */ i( + "button", + { + type: "button", + onClick: p.onClick, + onPointerEnter: Se, + disabled: "disabled" in p ? p.disabled : !1, + style: { + minHeight: 54, + border: "1px solid var(--terminal-panel-border)", + background: p.active ? p.accent : "rgba(7,19,11,0.86)", + color: "var(--terminal-green-soft)", + borderRadius: 10, + padding: "8px 10px", + cursor: "disabled" in p && p.disabled ? "not-allowed" : "pointer", + display: "flex", + flexDirection: "column", + alignItems: "center", + justifyContent: "center", + gap: 2, + boxShadow: p.active ? "0 0 18px rgba(125,255,155,0.12)" : "0 8px 24px rgba(0,0,0,0.25)", + position: "relative", + overflow: "hidden", + opacity: "disabled" in p && p.disabled ? 0.38 : 1 + }, + children: [ + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-headline)", + fontSize: 11, + fontWeight: 400, + letterSpacing: "0.08em", + textTransform: "uppercase", + lineHeight: 1.1 + }, + children: p.label + } + ), + /* @__PURE__ */ n( + "span", + { + style: { + fontFamily: "var(--font-ui)", + fontSize: 10, + color: "var(--terminal-green)", + letterSpacing: "0.08em", + lineHeight: 1 + }, + children: p.sublabel + } + ) + ] + }, + p.label + )) + } + ) + ] }), + /* @__PURE__ */ n("color", { attach: "background", args: ["#050505"] }) + ] }); +} +const Bn = { + name: "lightlane", + displayName: "Lightlane Challenge", + version: "1.1.0", + paramSchema: { + hideScenePresentation: { type: "boolean", label: "Hide Sphere + Lightlanes", default: !1 }, + hideFlyingBars: { type: "boolean", label: "Hide Flying Bars", default: !1 }, + hideDataBoxes: { type: "boolean", label: "Hide Data Boxes", default: !1 }, + complexity: { type: "range", label: "Complexity", default: 5, min: 1, max: 20, step: 1 }, + radius: { type: "range", label: "Distance to star", default: 2, min: 0.1, max: 5, step: 0.1 }, + chandraDistance: { type: "range", label: "Chandra Camera Distance", default: 6, min: 5, max: 30, step: 0.5 }, + observationMode: { + type: "select", + label: "Observation Mode", + default: "randomSphere", + options: [ + { value: "orbit", label: "Orbit" }, + { value: "randomSphere", label: "Random Sphere" } + ] + }, + sceneView: { + type: "select", + label: "Scene View", + default: "both", + options: [ + { value: "both", label: "Both" }, + { value: "poisson", label: "Poisson" }, + { value: "lightlane", label: "Lightlane" } + ] + }, + orbitSpeed: { type: "range", label: "Orbit Speed", default: 0.2, min: 0, max: 2, step: 0.01 }, + thetaDrift: { type: "range", label: "Theta Drift", default: 0, min: -1, max: 1, step: 0.01 }, + thetaJitter: { type: "range", label: "Theta Jitter", default: 0, min: 0, max: 0.25, step: 5e-3 }, + phiJitter: { type: "range", label: "Phi Jitter", default: 0, min: 0, max: 0.5, step: 0.01 }, + speedup: { type: "range", label: "Speedup", default: 1, min: 1, max: 240, step: 1 } + }, + defaultParams: { + complexity: 5, + radius: 2, + orbitSpeed: 0.2, + thetaDrift: 0, + thetaJitter: 0, + phiJitter: 0, + chandraDistance: 6, + observationMode: "randomSphere", + sceneView: "both", + speedup: 1, + // Internal defaults will handle the rest + distance: 5, + showAxes: !1, + lightlanes: !0, + allSectors: !0, + cumulative: !1, + phi: 0, + theta: Math.PI / 2, + K: 1e3, + usePoisson: !0, + hideScenePresentation: !1, + hideFlyingBars: !1, + hideDataBoxes: !1 + } +}; +export { + kn as default, + Bn as metadata +}; +//# sourceMappingURL=lightlane.js.map diff --git a/public/glitch/glitch_lightlane/lightlane.js.map b/public/glitch/glitch_lightlane/lightlane.js.map new file mode 100644 index 0000000..6b3be1e --- /dev/null +++ b/public/glitch/glitch_lightlane/lightlane.js.map @@ -0,0 +1 @@ +{"version":3,"file":"lightlane.js","sources":["../src/components/VectorArrow.tsx","../src/vectors.ts","../src/components/DiophantineVectors.tsx","../src/hostBridge.ts","../src/components/lightlane-engine.js","../src/components/FanoSweepPanel.tsx","../src/components/PoissonShell.tsx","../src/components/PulsingSphere.tsx","../src/components/OrbitingObject.tsx","../src/components/SamplingSystem.tsx","../src/types.ts","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useMemo } from 'react';\nimport * as THREE from 'three';\n\ninterface VectorArrowProps {\n vector: [number, number, number];\n origin?: [number, number, number];\n color?: string;\n}\n\nexport function VectorArrow({ vector, origin = [0, 0, 0], color = '#facc15' }: VectorArrowProps) {\n const { dir, len, position } = useMemo(() => {\n const start = new THREE.Vector3(...origin);\n const end = new THREE.Vector3(...vector);\n\n const len = start.distanceTo(end);\n const dir = end.clone().sub(start).normalize();\n\n // ArrowHelper takes direction, origin, length.\n return { dir, len, position: start };\n }, [vector, origin]);\n\n // Using primitive ArrowHelper for geometrical correctness and simplicity\n // We can wrap it in a primitive. \n // However, ArrowHelper manages its own geometry updates which can be tricky in React.\n // Re-creating the helper when props change is a safe pattern for simple props.\n const arrowHelper = useMemo(() => {\n return new THREE.ArrowHelper(dir, position, len, color, 0.2 * Math.min(len, 1) + 0.1, 0.1 * Math.min(len, 1) + 0.05);\n }, [dir, len, position, color]);\n\n return ;\n}\n","export type Vector3Tuple = [number, number, number];\n\nexport function getVectors(complexity: number, allSectors: boolean = false): Vector3Tuple[] {\n const vectors: Vector3Tuple[] = [];\n\n // Complexity N corresponds to integer solutions for x + y + z = N\n // where x, y, z >= 0\n\n for (let x = 0; x <= complexity; x++) {\n for (let y = 0; y <= complexity - x; y++) {\n const z = complexity - x - y;\n\n if (z >= 0) {\n if (!allSectors) {\n vectors.push([x, y, z]);\n } else {\n // Generate permutations for all octants\n // For each component, if it's non-zero, it can be + or -\n const xSigns = x === 0 ? [1] : [1, -1];\n const ySigns = y === 0 ? [1] : [1, -1];\n const zSigns = z === 0 ? [1] : [1, -1];\n\n for (const sx of xSigns) {\n for (const sy of ySigns) {\n for (const sz of zSigns) {\n vectors.push([x * sx, y * sy, z * sz]);\n }\n }\n }\n }\n }\n }\n }\n\n return vectors;\n}\n","import { useMemo } from 'react';\nimport { VectorArrow } from './VectorArrow';\nimport { getVectors } from '../vectors';\nimport * as THREE from 'three';\n\ninterface DiophantineVectorsProps {\n complexity: number;\n lightlanes?: boolean;\n radius?: number;\n distance?: number;\n allSectors?: boolean;\n cumulative?: boolean;\n}\n\nfunction LightlaneCylinder({ vector, radius, distance, color }: { vector: [number, number, number], radius: number, distance: number, color: string }) {\n const { position, quaternion } = useMemo(() => {\n const v = new THREE.Vector3(...vector).normalize();\n const up = new THREE.Vector3(0, 1, 0);\n const quaternion = new THREE.Quaternion().setFromUnitVectors(up, v);\n const position = v.clone().multiplyScalar(distance / 2);\n return { position, quaternion };\n }, [vector, distance]);\n\n return (\n \n \n \n \n );\n}\n\nexport function DiophantineVectors({ complexity, lightlanes = false, radius = 0.5, distance = 5, allSectors = false, cumulative = false }: DiophantineVectorsProps) {\n const vectorData = useMemo(() => {\n const data: { vec: [number, number, number], c: number }[] = [];\n\n const start = cumulative ? 1 : complexity;\n const end = complexity;\n\n for (let c = start; c <= end; c++) {\n const result = getVectors(c, allSectors);\n for (const v of result) {\n data.push({ vec: v, c });\n }\n }\n return data;\n }, [complexity, allSectors, cumulative]);\n\n // Helper to get color based on complexity\n // Low (1) -> Purple (~270)\n // High (max) -> Red (~0 or 360, but let's go down to 0)\n // But wait, standard HSL: Red=0/360, Purple=270.\n // User wants: Higher = Red, Lower = Purple.\n // So mapping: c=1 -> 270, c=max -> 0.\n const getColor = (c: number) => {\n const maxC = cumulative ? Math.max(complexity, 1) : complexity;\n const ratio = maxC > 1 ? (c - 1) / (maxC - 1) : 1;\n // inverse ratio for hue: 1 -> 0, 0 -> 1 ?\n // We want ratio 0 (c=1) -> 270\n // We want ratio 1 (c=max) -> 0\n const hue = 270 * (1 - ratio);\n return `hsl(${hue}, 100%, 50%)`;\n };\n\n return (\n \n {vectorData.map((item, i) => {\n const color = cumulative ? getColor(item.c) : (lightlanes ? \"#ff33c5\" : \"#4ade80\");\n\n return lightlanes ? (\n \n ) : (\n \n );\n })}\n \n );\n}\n","import type { GlitchHostBridge } from './types';\n\nexport const HOST_SOUND_EVENT = 'glitch:play-sound';\nexport const HOST_STOP_SOUND_EVENT = 'glitch:stop-sound';\nexport const HOST_EMIT_PREFIX = 'glitch:host:';\n\nexport const SOUND_IDS = {\n click: 'ui.button_click',\n hover: 'ui.button_hover',\n computeStart: 'machine.compute_start',\n computeStep: 'machine.compute_step',\n computeDone: 'machine.compute_done',\n verdictStable: 'machine.verdict_stable',\n verdictAlert: 'machine.verdict_alert'\n} as const;\n\nexport type SoundId = (typeof SOUND_IDS)[keyof typeof SOUND_IDS];\n\nfunction dispatchWindowEvent(type: string, detail: T) {\n if (typeof window === 'undefined') return;\n window.dispatchEvent(new CustomEvent(type, { detail }));\n}\n\nexport function safePlaySound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.playSound) {\n host.playSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_SOUND_EVENT, { id, payload });\n}\n\nexport function safeStopSound(\n host: GlitchHostBridge | undefined,\n id: string,\n payload?: Record\n) {\n try {\n if (host?.stopSound) {\n host.stopSound(id, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(HOST_STOP_SOUND_EVENT, { id, payload });\n}\n\nexport function safeEmit(host: GlitchHostBridge | undefined, type: string, payload?: unknown) {\n try {\n if (host?.emit) {\n host.emit(type, payload);\n return;\n }\n } catch {\n // Host bridge errors should not break the component.\n }\n\n dispatchWindowEvent(`${HOST_EMIT_PREFIX}${type}`, payload);\n}\n","// Pure JS sampling/simulation engine used by the React visualization.\n// The module owns the sampling state and exposes simulate(dt).\n\nconst EPS = 1e-12;\n\nexport function createRng(seed = 123456789) {\n let a = seed >>> 0;\n return function rand() {\n a |= 0;\n a = (a + 0x6d2b79f5) | 0;\n let t = Math.imul(a ^ (a >>> 15), 1 | a);\n t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t;\n return ((t ^ (t >>> 14)) >>> 0) / 4294967296;\n };\n}\n\nexport function samplePoisson(lambda, rand = Math.random) {\n if (!Number.isFinite(lambda) || lambda <= 0) return 0;\n\n if (lambda < 30) {\n const L = Math.exp(-lambda);\n let k = 0;\n let p = 1;\n do {\n k++;\n p *= rand();\n } while (p > L);\n return k - 1;\n }\n\n const u1 = Math.max(1e-12, rand());\n const u2 = rand();\n const z = Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n const x = lambda + Math.sqrt(lambda) * z;\n return Math.max(0, Math.round(x));\n}\n\nfunction toXYZ(v) {\n return [v[0] ?? v.x, v[1] ?? v.y, v[2] ?? v.z];\n}\n\nfunction norm3(x, y, z) {\n return Math.sqrt(x * x + y * y + z * z);\n}\n\nfunction wrapAngle(angle) {\n const twoPi = 2 * Math.PI;\n let a = angle % twoPi;\n if (a < 0) a += twoPi;\n return a;\n}\n\nfunction randomSphereAngles(rand) {\n const u = 2 * rand() - 1; // cos(theta) uniform\n const phi = 2 * Math.PI * rand();\n return {\n theta: Math.acos(Math.max(-1, Math.min(1, u))),\n phi,\n };\n}\n\n// Reflect polar angle back into [0, pi] so continuous drift can pass poles\n// without creating invalid spherical coordinates.\nexport function reflectPolarTheta(theta) {\n const twoPi = 2 * Math.PI;\n let t = theta % twoPi;\n if (t < 0) t += twoPi;\n if (t > Math.PI) t = twoPi - t;\n return t;\n}\n\nexport function sampleNormal(rand = Math.random) {\n const u1 = Math.max(1e-12, rand());\n const u2 = rand();\n return Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n}\n\nexport function vecOnSphereFromAngles(D, theta, phi) {\n const sinT = Math.sin(theta);\n return [\n D * sinT * Math.cos(phi),\n D * Math.cos(theta),\n D * sinT * Math.sin(phi),\n ];\n}\n\nexport function getDiophantineVectors(complexity, allSectors = false, cumulative = false) {\n const vectors = [];\n const start = cumulative ? 1 : complexity;\n const end = complexity;\n\n for (let c = start; c <= end; c++) {\n for (let x = 0; x <= c; x++) {\n for (let y = 0; y <= c - x; y++) {\n const z = c - x - y;\n if (!allSectors) {\n vectors.push([x, y, z]);\n continue;\n }\n\n const xSigns = x === 0 ? [1] : [1, -1];\n const ySigns = y === 0 ? [1] : [1, -1];\n const zSigns = z === 0 ? [1] : [1, -1];\n for (const sx of xSigns) {\n for (const sy of ySigns) {\n for (const sz of zSigns) {\n vectors.push([x * sx, y * sy, z * sz]);\n }\n }\n }\n }\n }\n }\n\n return vectors;\n}\n\nexport function buildLaneEndpointsOnShell({\n D,\n complexity,\n allSectors = false,\n cumulative = false,\n}) {\n if (!Number.isFinite(D) || D <= 0) return [];\n if (!Number.isInteger(complexity) || complexity < 1) return [];\n\n const raw = getDiophantineVectors(complexity, allSectors, cumulative);\n const out = [];\n for (let i = 0; i < raw.length; i++) {\n const [x, y, z] = raw[i];\n const n = norm3(x, y, z);\n if (n <= EPS) continue;\n out.push([(D * x) / n, (D * y) / n, (D * z) / n]);\n }\n return out;\n}\n\nexport function countLaneOverlapsOnSegments(lanes, satPos, laneRadius) {\n if (!lanes || lanes.length === 0) return 0;\n if (!Number.isFinite(laneRadius) || laneRadius <= 0) return 0;\n\n const [Px, Py, Pz] = toXYZ(satPos);\n const r2 = laneRadius * laneRadius;\n let count = 0;\n\n for (let i = 0; i < lanes.length; i++) {\n const [Bx, By, Bz] = toXYZ(lanes[i]);\n const b2 = Bx * Bx + By * By + Bz * Bz;\n if (b2 <= EPS) continue;\n\n let t = (Px * Bx + Py * By + Pz * Bz) / b2;\n if (t < 0) t = 0;\n if (t > 1) t = 1;\n\n const Cx = t * Bx;\n const Cy = t * By;\n const Cz = t * Bz;\n const dx = Px - Cx;\n const dy = Py - Cy;\n const dz = Pz - Cz;\n\n if (dx * dx + dy * dy + dz * dz < r2) count++;\n }\n\n return count;\n}\n\nexport function countLaneOverlapsOnShell(lanes, D, satPos, laneRadius) {\n if (!lanes || lanes.length === 0) return 0;\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(laneRadius) || laneRadius <= 0) return 0;\n\n const [Px, Py, Pz] = toXYZ(satPos);\n const R2 = D * D;\n const dotThreshold = R2 - 0.5 * laneRadius * laneRadius;\n\n let count = 0;\n for (let i = 0; i < lanes.length; i++) {\n const [Bx, By, Bz] = toXYZ(lanes[i]);\n if (Px * Bx + Py * By + Pz * Bz > dotThreshold) count++;\n }\n return count;\n}\n\nexport function isotropicCoverageProbability({ D, lane_radius }) {\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) return 0;\n const p = (lane_radius * lane_radius) / (4 * D * D);\n if (p <= 0) return 0;\n return p > 1 ? 1 : p;\n}\n\nexport function isotropicCoverageProbabilitySegment({ D, lane_radius, lane_length }) {\n if (!Number.isFinite(D) || D <= 0) return 0;\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) return 0;\n if (!Number.isFinite(lane_length) || lane_length <= 0) return 0;\n\n // If the visual segment reaches the observation shell, the shell-cap model is exact.\n if (lane_length >= D - EPS) {\n return isotropicCoverageProbability({ D, lane_radius });\n }\n\n const r = lane_radius;\n const L = lane_length;\n\n // No possible hit if the aperture is smaller than the endpoint gap.\n const dMin = D - L;\n if (r <= dMin) return 0;\n\n // For unrealistic very large apertures, clamp to full coverage.\n if (r >= D + L) return 1;\n\n // Minimum distance to the segment is a monotone function of c = cos(alpha) on c in [0,1].\n // The hit set is a spherical cap c > c0.\n const dJoin = Math.sqrt(Math.max(0, D * D - L * L)); // distance at projection hitting the endpoint boundary\n let c0;\n\n if (r < dJoin) {\n // Endpoint-limited branch (nearest point is the segment endpoint)\n c0 = (D * D + L * L - r * r) / (2 * D * L);\n } else if (r < D) {\n // Interior cylinder branch\n c0 = Math.sqrt(Math.max(0, 1 - (r * r) / (D * D)));\n } else {\n // r >= D covers the whole front hemisphere and may extend beyond; clamp conservatively.\n c0 = -1;\n }\n\n if (!Number.isFinite(c0)) return 0;\n if (c0 < -1) c0 = -1;\n if (c0 > 1) c0 = 1;\n return (1 - c0) / 2;\n}\n\nexport function lambdaIsotropic({ flux, D, lane_radius, dt }) {\n if (!Number.isFinite(flux) || flux <= 0) return 0;\n if (!Number.isFinite(dt) || dt <= 0) return 0;\n const p = isotropicCoverageProbability({ D, lane_radius });\n return flux * p * dt;\n}\n\nexport function lambdaIsotropicSegment({ flux, D, lane_radius, lane_length, dt }) {\n if (!Number.isFinite(flux) || flux <= 0) return 0;\n if (!Number.isFinite(dt) || dt <= 0) return 0;\n const p = isotropicCoverageProbabilitySegment({ D, lane_radius, lane_length });\n return flux * p * dt;\n}\n\nexport function lambdaIsotropicForGeometry({\n flux,\n D,\n lane_radius,\n dt,\n hitTestModel = \"shell\",\n lane_length,\n}) {\n if (hitTestModel === \"segment\") {\n return lambdaIsotropicSegment({ flux, D, lane_radius, lane_length, dt });\n }\n return lambdaIsotropic({ flux, D, lane_radius, dt });\n}\n\nfunction validateConfig(config) {\n if (!config || typeof config !== \"object\") {\n throw new Error(\"createSamplingSimulation: config object is required.\");\n }\n\n const lane_radius = config.lane_radius ?? config.radius;\n const D = config.D;\n const complexity = config.complexity;\n const flux = config.flux;\n const bin_size = config.bin_size ?? 1;\n const sub_bin_sampling = config.sub_bin_sampling ?? 4;\n const thetaDrift = config.thetaDrift ?? config.theta_drift ?? 0;\n const thetaJitter = config.thetaJitter ?? config.theta_jitter ?? 0;\n const phiJitter = config.phiJitter ?? config.phi_jitter ?? 0;\n const lane_length = config.laneLength ?? config.lane_length ?? config.distance ?? D;\n const hitTestModel = config.hitTestModel ?? config.hit_test_model ?? \"shell\";\n const observationMode = config.observationMode ?? config.observation_mode ?? \"orbit\";\n\n if (!Number.isFinite(D) || D <= 0) {\n throw new Error(\"createSamplingSimulation: D must be a positive number.\");\n }\n if (!Number.isFinite(lane_radius) || lane_radius <= 0) {\n throw new Error(\"createSamplingSimulation: lane_radius (or radius) must be a positive number.\");\n }\n if (!Number.isInteger(complexity) || complexity < 1) {\n throw new Error(\"createSamplingSimulation: complexity must be an integer >= 1.\");\n }\n if (!Number.isFinite(flux) || flux < 0) {\n throw new Error(\"createSamplingSimulation: flux must be a finite number >= 0.\");\n }\n if (!Number.isFinite(bin_size) || bin_size <= 0) {\n throw new Error(\"createSamplingSimulation: bin_size must be a positive number.\");\n }\n if (!Number.isInteger(sub_bin_sampling) || sub_bin_sampling < 1) {\n throw new Error(\"createSamplingSimulation: sub_bin_sampling must be an integer >= 1.\");\n }\n if (!Number.isFinite(thetaDrift)) {\n throw new Error(\"createSamplingSimulation: thetaDrift must be finite.\");\n }\n if (!Number.isFinite(thetaJitter) || thetaJitter < 0) {\n throw new Error(\"createSamplingSimulation: thetaJitter must be a finite number >= 0.\");\n }\n if (!Number.isFinite(phiJitter) || phiJitter < 0) {\n throw new Error(\"createSamplingSimulation: phiJitter must be a finite number >= 0.\");\n }\n if (!Number.isFinite(lane_length) || lane_length <= 0) {\n throw new Error(\"createSamplingSimulation: laneLength/lane_length/distance must be a positive number.\");\n }\n if (hitTestModel !== \"shell\" && hitTestModel !== \"segment\") {\n throw new Error('createSamplingSimulation: hitTestModel must be \"shell\" or \"segment\".');\n }\n if (observationMode !== \"orbit\" && observationMode !== \"randomSphere\") {\n throw new Error('createSamplingSimulation: observationMode must be \"orbit\" or \"randomSphere\".');\n }\n\n return {\n D,\n lane_radius,\n complexity,\n flux,\n bin_size,\n sub_bin_sampling,\n theta: reflectPolarTheta(config.theta ?? Math.PI / 2),\n phi: wrapAngle(config.phi ?? 0),\n velocity: config.velocity ?? 0,\n thetaDrift,\n thetaJitter,\n phiJitter,\n lane_length,\n hitTestModel,\n observationMode,\n allSectors: Boolean(config.allSectors),\n cumulative: Boolean(config.cumulative),\n usePoisson: config.usePoisson !== false,\n seed: Number.isFinite(config.seed) ? config.seed : 1,\n };\n}\n\nexport function createSamplingSimulation(config) {\n const cfg = validateConfig(config);\n const lanes = buildLaneEndpointsOnShell(cfg);\n const laneSegments =\n cfg.hitTestModel === \"segment\"\n ? buildLaneEndpointsOnShell({ ...cfg, D: cfg.lane_length })\n : lanes;\n const lightlaneRand = createRng(cfg.seed);\n const isotropicRand = createRng(cfg.seed + 1);\n const pathRand = createRng(cfg.seed + 2);\n\n const subBinSize = cfg.bin_size / cfg.sub_bin_sampling;\n const lambdaIsoSubBin = lambdaIsotropicForGeometry({\n flux: cfg.flux,\n D: cfg.D,\n lane_radius: cfg.lane_radius,\n dt: subBinSize,\n hitTestModel: cfg.hitTestModel,\n lane_length: cfg.lane_length,\n });\n let timeInBin = 0;\n let timeInSubBin = 0;\n let phase = cfg.phi;\n let thetaNow = cfg.theta;\n let elapsed = 0;\n let accumulatedLightlane = 0;\n let accumulatedIsotropic = 0;\n let expectedLightlaneThisBin = 0;\n let processedSubBinsInCurrentBin = 0;\n let lastLaneCount = 0;\n let overlapSumThisBin = 0;\n\n function sampleCount(lambda, rand) {\n return cfg.usePoisson ? samplePoisson(lambda, rand) : lambda;\n }\n\n function currentSatPos(sampleTheta = thetaNow, samplePhi = phase) {\n return vecOnSphereFromAngles(cfg.D, sampleTheta, samplePhi);\n }\n\n function processSubBin() {\n let sampleTheta;\n let samplePhi;\n if (cfg.observationMode === \"randomSphere\") {\n const ang = randomSphereAngles(pathRand);\n sampleTheta = ang.theta;\n samplePhi = ang.phi;\n } else {\n sampleTheta = reflectPolarTheta(\n thetaNow + (cfg.thetaJitter > 0 ? cfg.thetaJitter * sampleNormal(pathRand) : 0)\n );\n samplePhi = wrapAngle(\n phase + (cfg.phiJitter > 0 ? cfg.phiJitter * sampleNormal(pathRand) : 0)\n );\n }\n const satPos = currentSatPos(sampleTheta, samplePhi);\n const laneCount =\n cfg.hitTestModel === \"segment\"\n ? countLaneOverlapsOnSegments(laneSegments, satPos, cfg.lane_radius)\n : countLaneOverlapsOnShell(lanes, cfg.D, satPos, cfg.lane_radius);\n lastLaneCount = laneCount;\n\n const N = lanes.length;\n const lam = N > 0 ? (laneCount * cfg.flux * subBinSize) / N : 0;\n accumulatedLightlane += sampleCount(lam, lightlaneRand);\n accumulatedIsotropic += sampleCount(lambdaIsoSubBin, isotropicRand);\n expectedLightlaneThisBin += lam;\n overlapSumThisBin += laneCount;\n processedSubBinsInCurrentBin++;\n\n return {\n laneCount,\n satPos,\n lambdaLightlaneSubBin: lam,\n phase: samplePhi,\n theta: sampleTheta,\n };\n }\n\n function finalizeBin() {\n const effectiveBinSize =\n processedSubBinsInCurrentBin > 0 ? processedSubBinsInCurrentBin * subBinSize : cfg.bin_size;\n const lamIso = lambdaIsoSubBin * cfg.sub_bin_sampling;\n const isotropic = accumulatedIsotropic;\n const lightlane = accumulatedLightlane;\n\n const bin = {\n time: elapsed,\n bin_size: effectiveBinSize,\n lightlane,\n isotropic,\n lambdaIsotropic: processedSubBinsInCurrentBin > 0 ? lambdaIsoSubBin * processedSubBinsInCurrentBin : lamIso,\n overlaps: lastLaneCount,\n overlapsMean:\n processedSubBinsInCurrentBin > 0\n ? overlapSumThisBin / processedSubBinsInCurrentBin\n : 0,\n subBins: processedSubBinsInCurrentBin,\n phase,\n theta: thetaNow,\n lambdaLightlaneExpected: expectedLightlaneThisBin,\n };\n\n accumulatedLightlane = 0;\n accumulatedIsotropic = 0;\n expectedLightlaneThisBin = 0;\n overlapSumThisBin = 0;\n processedSubBinsInCurrentBin = 0;\n return bin;\n }\n\n return {\n config: { ...cfg },\n getLaneCount() {\n return lanes.length;\n },\n getState() {\n return {\n elapsed,\n phase,\n theta: thetaNow,\n timeInBin,\n timeInSubBin,\n accumulatedLightlane,\n accumulatedIsotropic,\n expectedLightlaneThisBin,\n processedSubBinsInCurrentBin,\n lastLaneCount,\n laneCount: lanes.length,\n };\n },\n reset() {\n timeInBin = 0;\n timeInSubBin = 0;\n phase = cfg.phi;\n thetaNow = cfg.theta;\n elapsed = 0;\n accumulatedLightlane = 0;\n accumulatedIsotropic = 0;\n expectedLightlaneThisBin = 0;\n processedSubBinsInCurrentBin = 0;\n lastLaneCount = 0;\n overlapSumThisBin = 0;\n },\n flushPartialBin() {\n if (processedSubBinsInCurrentBin <= 0) return null;\n const bin = finalizeBin();\n // Drop any partial sub-bin time so the visual pause appears immediate.\n timeInBin = 0;\n timeInSubBin = 0;\n return bin;\n },\n simulate(dt) {\n if (!Number.isFinite(dt) || dt <= 0) {\n return {\n bins: [],\n lastLaneCount,\n subBinEvents: 0,\n elapsed,\n };\n }\n\n let remaining = dt;\n let subBinEvents = 0;\n const bins = [];\n\n while (remaining > EPS) {\n const untilSub = subBinSize - timeInSubBin;\n const untilBin = cfg.bin_size - timeInBin;\n const step = Math.min(remaining, untilSub, untilBin);\n\n phase += cfg.velocity * step;\n thetaNow = reflectPolarTheta(thetaNow + cfg.thetaDrift * step);\n elapsed += step;\n timeInSubBin += step;\n timeInBin += step;\n remaining -= step;\n\n if (timeInSubBin >= subBinSize - EPS) {\n timeInSubBin = 0;\n processSubBin();\n subBinEvents++;\n }\n\n if (timeInBin >= cfg.bin_size - EPS) {\n timeInBin = 0;\n bins.push(finalizeBin());\n }\n }\n\n return {\n bins,\n lastLaneCount,\n subBinEvents,\n elapsed,\n };\n },\n };\n}\n\n// Backwards-compatible aliases while transitioning callers.\nexport const createDualRegimeSimulation = createSamplingSimulation;\n","import { Html } from '@react-three/drei';\nimport { useEffect, useMemo, useRef, useState } from 'react';\n\nimport { SOUND_IDS, safePlaySound, safeStopSound } from '../hostBridge';\nimport type { GlitchHostBridge } from '../types';\nimport { createSamplingSimulation } from './lightlane-engine.js';\n\ninterface FanoSweepPanelProps {\n radius: number;\n distance: number;\n chandraDistance: number;\n allSectors: boolean;\n cumulative: boolean;\n theta: number;\n phi: number;\n orbitSpeed: number;\n thetaDrift: number;\n thetaJitter: number;\n phiJitter: number;\n K: number;\n speedup: number;\n usePoisson: boolean;\n bottomInset?: number;\n onBack?: () => void;\n host?: GlitchHostBridge;\n}\n\ninterface SweepPoint {\n complexity: number;\n laneCount: number;\n meanBlue: number;\n meanYellow: number;\n fanoBlue: number;\n fanoYellow: number;\n fanoExcess: number;\n}\n\ninterface RunningMoments {\n n: number;\n mean: number;\n m2: number;\n}\n\nfunction updateMoments(m: RunningMoments, x: number): RunningMoments {\n const n = m.n + 1;\n const delta = x - m.mean;\n const mean = m.mean + delta / n;\n const m2 = m.m2 + delta * (x - mean);\n return { n, mean, m2 };\n}\n\nfunction emptyMoments(): RunningMoments {\n return { n: 0, mean: 0, m2: 0 };\n}\n\nfunction sampleFanoPoint({\n complexity,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n props,\n observationMode,\n seed,\n}: {\n complexity: number;\n samplesPerPoint: number;\n runsPerPoint: number;\n binSize: number;\n subBinSampling: number;\n props: FanoSweepPanelProps;\n observationMode: 'orbit' | 'randomSphere';\n seed: number;\n}): SweepPoint {\n let blue = emptyMoments();\n let yellow = emptyMoments();\n let laneCount = 0;\n\n for (let run = 0; run < runsPerPoint; run++) {\n const sim = createSamplingSimulation({\n D: props.chandraDistance,\n theta: props.theta,\n phi: props.phi,\n observationMode,\n velocity: props.orbitSpeed,\n thetaDrift: props.thetaDrift,\n thetaJitter: props.thetaJitter,\n phiJitter: props.phiJitter,\n bin_size: binSize,\n complexity,\n sub_bin_sampling: subBinSampling,\n flux: props.K,\n lane_radius: props.radius,\n distance: props.distance,\n hitTestModel: 'segment',\n allSectors: props.allSectors,\n cumulative: props.cumulative,\n usePoisson: props.usePoisson,\n seed: seed + run * 7_919,\n });\n if (run === 0) laneCount = sim.getLaneCount();\n\n for (let i = 0; i < samplesPerPoint; i++) {\n const { bins } = sim.simulate(binSize);\n const bin = bins[0];\n if (!bin) continue;\n blue = updateMoments(blue, bin.lightlane);\n yellow = updateMoments(yellow, bin.isotropic);\n }\n }\n\n const varBlue = blue.n > 1 ? blue.m2 / (blue.n - 1) : 0;\n const varYellow = yellow.n > 1 ? yellow.m2 / (yellow.n - 1) : 0;\n const fanoBlue = blue.mean > 0 ? varBlue / blue.mean : 0;\n const fanoYellow = yellow.mean > 0 ? varYellow / yellow.mean : 0;\n\n return {\n complexity,\n laneCount,\n meanBlue: blue.mean,\n meanYellow: yellow.mean,\n fanoBlue,\n fanoYellow,\n fanoExcess: Math.max(0, fanoBlue - fanoYellow),\n };\n}\n\nfunction fitPowerLaw(points: SweepPoint[], minComplexity = 1) {\n const usable = points.filter(p => p.complexity >= minComplexity && p.complexity > 1 && p.fanoExcess > 1e-6);\n if (usable.length < 3) return null;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = usable.length;\n\n for (const p of usable) {\n const x = Math.log(p.laneCount);\n const y = Math.log(p.fanoExcess);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) return null;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n\n return {\n A: Math.exp(intercept),\n alpha: -slope,\n predictFanoExcessFromLaneCount(laneCount: number) {\n return Math.exp(intercept + slope * Math.log(Math.max(1, laneCount)));\n },\n };\n}\n\nfunction fitPowerLawWithFloor(points: SweepPoint[], minComplexity = 1) {\n const usable = points.filter(p => p.complexity >= minComplexity && p.complexity > 1 && p.fanoExcess > 1e-6);\n if (usable.length < 4) return null;\n\n const minY = Math.min(...usable.map((p) => p.fanoExcess));\n const maxB = Math.max(0, minY * 0.98);\n let best: null | {\n A: number;\n alpha: number;\n B: number;\n score: number;\n } = null;\n\n const steps = 80;\n for (let i = 0; i <= steps; i++) {\n const B = (i / steps) * maxB;\n const shifted = usable\n .map((p) => ({ x: p.laneCount, y: p.fanoExcess - B }))\n .filter((p) => p.y > 1e-9);\n if (shifted.length < 3) continue;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = shifted.length;\n\n for (const p of shifted) {\n const x = Math.log(p.x);\n const y = Math.log(p.y);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) continue;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n const A = Math.exp(intercept);\n const alpha = -slope;\n if (!(A > 0) || !(alpha > 0)) continue;\n\n let score = 0;\n for (const p of usable) {\n const pred = B + A * Math.pow(Math.max(1, p.laneCount), -alpha);\n const err = Math.log(Math.max(1e-9, p.fanoExcess)) - Math.log(Math.max(1e-9, pred));\n score += err * err;\n }\n\n if (!best || score < best.score) {\n best = { A, alpha, B, score };\n }\n }\n\n if (!best) return null;\n\n return {\n A: best.A,\n alpha: best.alpha,\n B: best.B,\n score: best.score,\n predictFanoExcessFromLaneCount(laneCount: number) {\n return best.B + best.A * Math.pow(Math.max(1, laneCount), -best.alpha);\n },\n };\n}\n\nfunction fitPowerXY(samples: Array<{ x: number; y: number }>) {\n const usable = samples.filter((s) => s.x > 0 && s.y > 0);\n if (usable.length < 3) return null;\n\n let sx = 0;\n let sy = 0;\n let sxx = 0;\n let sxy = 0;\n const n = usable.length;\n\n for (const s of usable) {\n const x = Math.log(s.x);\n const y = Math.log(s.y);\n sx += x;\n sy += y;\n sxx += x * x;\n sxy += x * y;\n }\n\n const denom = n * sxx - sx * sx;\n if (Math.abs(denom) < 1e-12) return null;\n\n const slope = (n * sxy - sx * sy) / denom;\n const intercept = (sy - slope * sx) / n;\n const A = Math.exp(intercept);\n\n return {\n A,\n beta: slope,\n predict(x: number) {\n return A * Math.pow(Math.max(1e-9, x), slope);\n },\n invert(y: number) {\n if (A <= 0 || Math.abs(slope) < 1e-12 || y <= 0) return null;\n return Math.pow(y / A, 1 / slope);\n },\n };\n}\n\nfunction estimateComplexityFromLaneCount(points: SweepPoint[], targetLaneCount: number) {\n if (!Number.isFinite(targetLaneCount) || targetLaneCount <= 0 || points.length === 0) return null;\n\n const sorted = [...points].sort((a, b) => a.complexity - b.complexity);\n const byLane = [...sorted].sort((a, b) => a.laneCount - b.laneCount);\n const first = byLane[0];\n const last = byLane[byLane.length - 1];\n\n if (targetLaneCount <= first.laneCount) {\n return { complexity: first.complexity, mode: 'observed-range' as const };\n }\n\n for (let i = 1; i < byLane.length; i++) {\n const a = byLane[i - 1];\n const b = byLane[i];\n if (targetLaneCount <= b.laneCount) {\n const denom = Math.max(1e-9, b.laneCount - a.laneCount);\n const t = (targetLaneCount - a.laneCount) / denom;\n return {\n complexity: a.complexity + t * (b.complexity - a.complexity),\n mode: 'observed-range' as const,\n };\n }\n }\n\n const growthFit = fitPowerXY(sorted.map((p) => ({ x: p.complexity, y: p.laneCount })));\n const extrapolated = growthFit?.invert(targetLaneCount) ?? null;\n if (extrapolated && Number.isFinite(extrapolated)) {\n return { complexity: extrapolated, mode: 'extrapolated' as const };\n }\n\n return { complexity: last.complexity, mode: 'observed-max' as const };\n}\n\nfunction linePath(points: SweepPoint[], getY: (p: SweepPoint) => number, xToPx: (x: number) => number, yToPx: (y: number) => number) {\n return points\n .map((p, i) => `${i === 0 ? 'M' : 'L'} ${xToPx(p.complexity)} ${yToPx(getY(p))}`)\n .join(' ');\n}\n\nfunction formatYAxisTick(value: number) {\n if (value >= 10) return value.toFixed(0);\n if (value >= 2) return value.toFixed(1);\n return value.toFixed(2);\n}\n\nfunction buildLogTicks(min: number, max: number) {\n const candidates = [\n 0.5, 0.6, 0.7, 0.8, 0.9,\n 1.0, 1.1, 1.2, 1.4, 1.6, 1.8,\n 2.0, 2.5, 3.0, 4.0, 5.0, 7.5, 10.0,\n ];\n\n const ticks = candidates.filter(v => v >= min && v <= max);\n if (ticks.length >= 3) return ticks;\n\n // Fallback for unusual ranges.\n const steps = 5;\n const logMin = Math.log(min);\n const logMax = Math.log(max);\n return Array.from({ length: steps }, (_, i) => {\n const t = i / (steps - 1);\n return Math.exp(logMin + (logMax - logMin) * t);\n });\n}\n\nexport function FanoSweepPanel(props: FanoSweepPanelProps) {\n const [maxComplexity, setMaxComplexity] = useState(40);\n const [samplesPerPoint, setSamplesPerPoint] = useState(1000);\n const [runsPerPoint, setRunsPerPoint] = useState(3);\n const [binSize, setBinSize] = useState(1);\n const [subBinSampling, setSubBinSampling] = useState(4);\n const [observationMode, setObservationMode] = useState<'orbit' | 'randomSphere'>('randomSphere');\n const [targetExcess, setTargetExcess] = useState(0.05);\n const [fitStartComplexity, setFitStartComplexity] = useState(10);\n const [runId, setRunId] = useState(0);\n const [points, setPoints] = useState([]);\n const [progress, setProgress] = useState(0);\n const [running, setRunning] = useState(false);\n const wasRunningRef = useRef(false);\n const progressStepRef = useRef(-1);\n\n const playUiHover = () => {\n safePlaySound(props.host, SOUND_IDS.hover, { page: 'fano' });\n };\n\n const playUiClick = (target: string, payload?: Record) => {\n safePlaySound(props.host, SOUND_IDS.click, { page: 'fano', target, ...payload });\n };\n\n useEffect(() => {\n let cancelled = false;\n setPoints([]);\n setProgress(0);\n setRunning(true);\n\n (async () => {\n const nextPoints: SweepPoint[] = [];\n\n for (let c = 1; c <= maxComplexity; c++) {\n if (cancelled) return;\n const point = sampleFanoPoint({\n complexity: c,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n props,\n observationMode,\n seed: 10_000 + c * 97 + runId * 100_003,\n });\n nextPoints.push(point);\n setPoints([...nextPoints]);\n setProgress(c / maxComplexity);\n await new Promise(resolve => setTimeout(resolve, 0));\n }\n\n if (!cancelled) setRunning(false);\n })();\n\n return () => {\n cancelled = true;\n };\n }, [\n maxComplexity,\n samplesPerPoint,\n runsPerPoint,\n binSize,\n subBinSampling,\n observationMode,\n runId,\n props.radius,\n props.distance,\n props.chandraDistance,\n props.allSectors,\n props.cumulative,\n props.theta,\n props.phi,\n props.orbitSpeed,\n props.thetaDrift,\n props.thetaJitter,\n props.phiJitter,\n props.K,\n props.speedup,\n props.usePoisson,\n ]);\n\n useEffect(() => {\n const wasRunning = wasRunningRef.current;\n wasRunningRef.current = running;\n\n if (running && !wasRunning) {\n progressStepRef.current = -1;\n safePlaySound(props.host, SOUND_IDS.computeStart, { page: 'fano' });\n return;\n }\n\n if (!running && wasRunning) {\n safeStopSound(props.host, SOUND_IDS.computeStep, { page: 'fano' });\n safePlaySound(props.host, SOUND_IDS.computeDone, { page: 'fano', points: points.length });\n }\n }, [running, props.host, points.length]);\n\n useEffect(() => {\n if (!running) return;\n const nextProgressStep = Math.floor(progress * 10);\n if (nextProgressStep <= progressStepRef.current) return;\n progressStepRef.current = nextProgressStep;\n safePlaySound(props.host, SOUND_IDS.computeStep, { page: 'fano', progress });\n }, [progress, running, props.host]);\n\n const fit = useMemo(() => fitPowerLaw(points, fitStartComplexity), [points, fitStartComplexity]);\n const floorFit = useMemo(() => fitPowerLawWithFloor(points, fitStartComplexity), [points, fitStartComplexity]);\n const indistinguishableEstimate = useMemo(() => {\n if (!fit || fit.alpha <= 0 || targetExcess <= 0) return null;\n\n if (floorFit && floorFit.B >= targetExcess) {\n return {\n targetExcess,\n requiredLaneCount: Number.POSITIVE_INFINITY,\n measuredCrossing: points.find((p) => p.fanoExcess <= targetExcess) ?? null,\n complexityEstimate: null,\n blockedByFloor: true as const,\n floorExcess: floorFit.B,\n };\n }\n\n const effectiveTarget = floorFit ? Math.max(1e-9, targetExcess - floorFit.B) : targetExcess;\n const effectiveA = floorFit ? floorFit.A : fit.A;\n const effectiveAlpha = floorFit ? floorFit.alpha : fit.alpha;\n const requiredLaneCount = Math.pow(effectiveA / effectiveTarget, 1 / effectiveAlpha);\n if (!Number.isFinite(requiredLaneCount) || requiredLaneCount <= 0) return null;\n\n const measuredCrossing = points.find((p) => p.fanoExcess <= targetExcess) ?? null;\n const complexityEstimate = estimateComplexityFromLaneCount(points, requiredLaneCount);\n\n return {\n targetExcess,\n requiredLaneCount,\n measuredCrossing,\n complexityEstimate,\n blockedByFloor: false as const,\n floorExcess: floorFit?.B ?? 0,\n };\n }, [fit, floorFit, points, targetExcess]);\n\n const plot = useMemo(() => {\n const width = 860;\n const height = 360;\n const margin = { top: 20, right: 20, bottom: 42, left: 48 };\n const innerW = width - margin.left - margin.right;\n const innerH = height - margin.top - margin.bottom;\n const maxX = Math.max(2, maxComplexity);\n const positiveYs = [\n 1,\n ...points.map(p => p.fanoBlue),\n ...points.map(p => p.fanoYellow),\n ...points.map(p => 1 + p.fanoExcess),\n ].filter((v) => Number.isFinite(v) && v > 0);\n const rawYMin = Math.min(...positiveYs);\n const rawYMax = Math.max(...positiveYs);\n const yMin = Math.max(1e-3, Math.min(0.95, rawYMin * 0.95));\n const yMax = Math.max(1.05, rawYMax * 1.05);\n const logMin = Math.log(yMin);\n const logMax = Math.log(yMax);\n\n const xToPx = (x: number) => margin.left + ((x - 1) / (maxX - 1)) * innerW;\n const yToPx = (y: number) => {\n const safeY = Math.min(yMax, Math.max(yMin, y));\n const ly = Math.log(safeY);\n return margin.top + innerH - ((ly - logMin) / Math.max(1e-9, (logMax - logMin))) * innerH;\n };\n const yTicks = buildLogTicks(yMin, yMax);\n\n return { width, height, margin, innerW, innerH, xToPx, yToPx, yMax, yMin, yTicks };\n }, [points, maxComplexity]);\n\n const bluePath = useMemo(\n () => (points.length > 1 ? linePath(points, p => p.fanoBlue, plot.xToPx, plot.yToPx) : ''),\n [points, plot]\n );\n const yellowPath = useMemo(\n () => (points.length > 1 ? linePath(points, p => p.fanoYellow, plot.xToPx, plot.yToPx) : ''),\n [points, plot]\n );\n\n const latest = points.at(-1) ?? null;\n\n return (\n \n \n
\n
\n
\n Fano Sweep\n
\n
\n Goal: show {`Fano(Blue)`} trending toward 1.0 (or toward Yellow) as complexity increases.\n
\n
\n
\n {props.onBack && (\n {\n playUiClick('back-to-simulator');\n props.onBack?.();\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '8px 12px',\n borderRadius: '8px',\n cursor: 'pointer',\n fontSize: '12px',\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.08em',\n textTransform: 'uppercase',\n }}\n >\n Back To Simulator\n \n )}\n {\n playUiClick('rerun-sweep');\n setRunId(prev => prev + 1);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: running ? 'rgba(125, 255, 155, 0.14)' : 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '8px 12px',\n borderRadius: '8px',\n cursor: 'pointer',\n fontSize: '12px',\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.08em',\n textTransform: 'uppercase',\n }}\n >\n {running ? 'Rerun (queued)' : 'Rerun Sweep'}\n \n
\n
\n\n
\n {\n playUiClick('preset-video-demo');\n setObservationMode('randomSphere');\n setMaxComplexity(60);\n setSamplesPerPoint(1200);\n setRunsPerPoint(2);\n setBinSize(1);\n setSubBinSampling(4);\n setFitStartComplexity(12);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '6px 10px',\n borderRadius: 8,\n cursor: 'pointer',\n fontSize: 11,\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.06em',\n }}\n >\n Preset: Video Demo\n \n {\n playUiClick('preset-robust-sweep');\n setObservationMode('randomSphere');\n setMaxComplexity(200);\n setSamplesPerPoint(3000);\n setRunsPerPoint(5);\n setBinSize(1);\n setSubBinSampling(16);\n setFitStartComplexity(40);\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid rgba(125, 255, 155, 0.32)',\n background: 'rgba(2,6,23,0.8)',\n color: 'var(--terminal-green-soft)',\n padding: '6px 10px',\n borderRadius: 8,\n cursor: 'pointer',\n fontSize: 11,\n fontWeight: 400,\n fontFamily: 'var(--font-headline)',\n letterSpacing: '0.06em',\n }}\n >\n Preset: Robust Sweep\n \n
\n\n
\n \n \n \n \n \n \n \n \n
\n Progress\n
\n \n
\n
{running ? `Running ${Math.round(progress * 100)}%` : 'Complete'}
\n
\n
\n \n
\n \n \n \n\n {plot.yTicks.map((y, i) => {\n const py = plot.yToPx(y);\n return (\n \n \n {formatYAxisTick(y)}\n \n );\n })}\n\n \n Fano = 1\n\n \n \n\n {Array.from({ length: Math.min(maxComplexity, 10) }, (_, i) => {\n const x = 1 + ((maxComplexity - 1) * i) / Math.max(1, Math.min(maxComplexity - 1, 9));\n const px = plot.xToPx(x);\n return (\n \n \n \n {Math.round(x)}\n \n \n );\n })}\n\n {yellowPath && }\n {bluePath && }\n\n {fit && points.length > 2 && (() => {\n const fitPath = points\n .filter((p) => p.complexity >= fitStartComplexity)\n .map((p, i) => {\n const y = 1 + fit.predictFanoExcessFromLaneCount(p.laneCount);\n return `${i === 0 ? 'M' : 'L'} ${plot.xToPx(p.complexity)} ${plot.yToPx(y)}`;\n })\n .join(' ');\n return ;\n })()}\n\n {floorFit && points.length > 2 && (() => {\n const fitPath = points\n .filter((p) => p.complexity >= fitStartComplexity)\n .map((p, i) => {\n const y = 1 + floorFit.predictFanoExcessFromLaneCount(p.laneCount);\n return `${i === 0 ? 'M' : 'L'} ${plot.xToPx(p.complexity)} ${plot.yToPx(y)}`;\n })\n .join(' ');\n return ;\n })()}\n\n {points.map((p) => (\n \n \n \n \n ))}\n\n \n Complexity\n \n \n Fano Factor (Var / Mean, log scale)\n \n \n
\n\n \n
\n
Legend
\n
Blue: Lightlane Fano
\n
Yellow: Isotropic Fano
\n
Dashed orange: Fano = 1
\n
Dashed blue: power-fit extrapolation (blue excess over yellow)
\n
Dashed cyan: floor-aware fit (B + A×N^-α)
\n
\n\n
\n
Latest Point
\n {latest ? (\n <>\n
Complexity: {latest.complexity}
\n
Lanes: {latest.laneCount}
\n
Mean Ratio (B/Y): {(latest.meanBlue / Math.max(1e-9, latest.meanYellow)).toFixed(3)}
\n
Fano Blue: {latest.fanoBlue.toFixed(3)}
\n
Fano Yellow: {latest.fanoYellow.toFixed(3)}
\n
Excess (B-Y): {latest.fanoExcess.toFixed(3)}
\n
\n Aggregated over {samplesPerPoint.toLocaleString()} bins × {runsPerPoint} seeds\n
\n \n ) : (\n
No points yet.
\n )}\n
\n\n
\n
Power Fit
\n {fit ? (\n <>\n
\n Excess ≈ {fit.A.toExponential(2)} × N-{fit.alpha.toFixed(2)}\n
\n
\n Fit is on blue excess over yellow using lane count N, starting at complexity {fitStartComplexity}.\n
\n \n ) : (\n
Need more points with nonzero excess.
\n )}\n {floorFit && (\n
\n Floor fit: excess ≈ {floorFit.B.toFixed(3)} + {floorFit.A.toExponential(2)} × N-{floorFit.alpha.toFixed(2)}\n
\n )}\n
\n\n
\n
Indistinguishable Target
\n
\n Criterion: Fano Blue - Fano Yellow ≤ {targetExcess.toFixed(3)}\n
\n {indistinguishableEstimate ? (\n <>\n {indistinguishableEstimate.blockedByFloor ? (\n <>\n
\n Floor-aware fit predicts no finite crossing for this threshold.\n
\n
\n Fitted excess floor:{' '}\n \n {indistinguishableEstimate.floorExcess.toFixed(3)}\n \n
\n
\n Increase `Max Complexity` / `Samples`, or raise fit start to test whether the floor is a transient or a genuine plateau.\n
\n \n ) : (\n <>\n
\n Required lane count N (fit):{' '}\n \n {Math.round(indistinguishableEstimate.requiredLaneCount).toLocaleString()}\n \n
\n
\n Estimated complexity:{' '}\n \n {indistinguishableEstimate.complexityEstimate\n ? Math.ceil(indistinguishableEstimate.complexityEstimate.complexity).toLocaleString()\n : 'n/a'}\n \n {indistinguishableEstimate.complexityEstimate && (\n \n {' '}\n ({indistinguishableEstimate.complexityEstimate.mode === 'observed-range'\n ? 'interpolated from current sweep'\n : indistinguishableEstimate.complexityEstimate.mode === 'extrapolated'\n ? 'extrapolated'\n : 'bounded by current sweep'})\n \n )}\n
\n \n )}\n
\n {indistinguishableEstimate.measuredCrossing\n ? `Observed crossing already reached at complexity ${indistinguishableEstimate.measuredCrossing.complexity}.`\n : 'No observed crossing yet in current sweep; estimate uses fit.'}\n
\n \n ) : (\n
\n Need a stable excess fit (nonzero blue excess across multiple points).\n
\n )}\n
\n\n
\n Use Random Sphere to isolate discretization convergence from path bias.\n Orbit mode is still useful to show persistent anisotropy on specific trajectories.\n
\n For a stronger/cleaner claim in the video: report the threshold estimate together with bin size, sub-bin sampling, and runs/point.\n
\n
\n If the floor-aware fit stays above zero as you increase complexity and samples, frame it as an open question for viewers.\n
\n
\n
\n
\n
\n \n );\n}\n","import { useMemo, useRef } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { Color } from 'three';\nimport type { BufferGeometry, Points as ThreePoints, PointsMaterial } from 'three';\n\ntype SparklePoint = {\n speed: number;\n phase: number;\n minBrightness: number;\n maxBoost: number;\n};\n\nconst sparkleColor = new Color('#dbeafe');\n\nfunction createSparkleField(radius: number, count: number) {\n const positions = new Float32Array(count * 3);\n const colors = new Float32Array(count * 3);\n const sparklePoints: SparklePoint[] = [];\n const shellRadius = radius + 0.01;\n\n for (let index = 0; index < count; index += 1) {\n const u = Math.random();\n const v = Math.random();\n const theta = 2 * Math.PI * u;\n const z = 1 - 2 * v;\n const radial = Math.sqrt(Math.max(0, 1 - z * z));\n const offset = index * 3;\n\n positions[offset] = shellRadius * radial * Math.cos(theta);\n positions[offset + 1] = shellRadius * radial * Math.sin(theta);\n positions[offset + 2] = shellRadius * z;\n\n colors[offset] = sparkleColor.r * 0.15;\n colors[offset + 1] = sparkleColor.g * 0.15;\n colors[offset + 2] = sparkleColor.b * 0.15;\n\n sparklePoints.push({\n speed: 0.8 + Math.random() * 2.6,\n phase: Math.random() * Math.PI * 2,\n minBrightness: 0.03 + Math.random() * 0.06,\n maxBoost: 0.35 + Math.random() * 0.85,\n });\n }\n\n return { positions, colors, sparklePoints };\n}\n\nexport function PoissonShell({ radius }: { radius: number }) {\n const sparkleRef = useRef>(null);\n const sparkleCount = 16000;\n const { positions, colors, sparklePoints } = useMemo(\n () => createSparkleField(radius, sparkleCount),\n [radius]\n );\n\n useFrame(({ clock }) => {\n const sparkleCloud = sparkleRef.current;\n if (!sparkleCloud) return;\n\n const colorAttribute = sparkleCloud.geometry.getAttribute('color');\n if (!colorAttribute) return;\n\n const time = clock.getElapsedTime();\n const colorArray = colorAttribute.array as Float32Array;\n\n for (let index = 0; index < sparklePoints.length; index += 1) {\n const point = sparklePoints[index];\n const pulse = Math.pow(Math.max(0, Math.sin(time * point.speed + point.phase)), 24);\n const intensity = point.minBrightness + pulse * point.maxBoost;\n const offset = index * 3;\n\n colorArray[offset] = sparkleColor.r * intensity;\n colorArray[offset + 1] = sparkleColor.g * intensity;\n colorArray[offset + 2] = sparkleColor.b * intensity;\n }\n\n colorAttribute.needsUpdate = true;\n });\n\n return (\n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n \n );\n}\n","import { useRef } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { MeshStandardMaterial } from 'three';\n\ninterface PulsingSphereProps {\n radius: number;\n paused?: boolean;\n}\n\nexport function PulsingSphere({ radius, paused = false }: PulsingSphereProps) {\n const materialRef = useRef(null);\n\n useFrame((state) => {\n if (paused) return;\n if (materialRef.current) {\n // Pulse emissive intensity between 0.5 and 2.0\n // Sine wave from -1 to 1 -> mapped to 0.5 to 2.0\n // (sin + 1) / 2 is 0 to 1.\n // 0.5 + (0 -> 1) * 1.5 = 0.5 to 2.0\n const t = state.clock.elapsedTime * 3; // Speed\n const intensity = 0.5 + ((Math.sin(t) + 1) / 2) * 1.5;\n materialRef.current.emissiveIntensity = intensity;\n }\n });\n\n return (\n \n \n \n \n );\n}\n","import { useRef, type MutableRefObject } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport * as THREE from 'three';\n\nfunction reflectPolarTheta(theta: number): number {\n const twoPi = 2 * Math.PI;\n let t = theta % twoPi;\n if (t < 0) t += twoPi;\n if (t > Math.PI) t = twoPi - t;\n return t;\n}\n\ninterface OrbitingObjectProps {\n radius: number; // This corresponds to 'distance' from center\n theta: number; // Polar angle (0 to PI)\n phi: number; // Azimuthal angle (0 to 2PI)\n orbitTime: MutableRefObject; // Accumulated orbit time ref\n simTime?: MutableRefObject;\n thetaDrift?: number;\n paused?: boolean;\n}\n\nexport function OrbitingObject({ radius, theta, phi, orbitTime, simTime, thetaDrift = 0, paused = false }: OrbitingObjectProps) {\n const groupRef = useRef(null);\n\n useFrame(() => {\n if (paused) return;\n if (groupRef.current) {\n // Calculate position using spherical coordinates\n // Three.js uses Y-up, so usually:\n // Use passed accumulated time from ref\n const currentPhi = phi + orbitTime.current;\n const currentTheta = reflectPolarTheta(theta + (simTime?.current ?? 0) * thetaDrift);\n\n const x = radius * Math.sin(currentTheta) * Math.cos(currentPhi);\n const y = radius * Math.cos(currentTheta);\n const z = radius * Math.sin(currentTheta) * Math.sin(currentPhi);\n\n groupRef.current.position.set(x, y, z);\n\n // Orient towards center\n groupRef.current.lookAt(0, 0, 0);\n }\n });\n\n return (\n \n {/* Sampling point cue (engine uses the group origin as the camera/sample position) */}\n \n \n \n \n \n \n \n \n\n {/* Main Body - Cylindrical Telescope - Aligned to Z axis */}\n \n \n \n \n\n {/* Short forward octagonal gold collar */}\n \n \n \n \n\n {/* Front Aperture - Wider - At +Z end */}\n \n \n \n \n {/* Aperture center cue for visual alignment checks */}\n \n \n \n \n {/* Local +Z axis cue (helps spot orientation / offset issues) */}\n \n \n \n \n\n {/* Solar Panels - shifted forward toward the star-facing end */}\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n );\n}\n","/* eslint-disable @typescript-eslint/no-unused-vars */\n\nimport { useState, useMemo, useRef, useEffect } from 'react';\nimport { useFrame } from '@react-three/fiber';\nimport { Html } from '@react-three/drei';\n\nimport { createSamplingSimulation, lambdaIsotropicForGeometry } from './lightlane-engine.js';\nimport { SOUND_IDS, safePlaySound } from '../hostBridge';\nimport type { GlitchHostBridge, SceneViewMode } from '../types';\n\n// Flying bar animation component\ninterface FlyingBar {\n id: number;\n value: number;\n startBottom: number; // Distance from bottom of viewport\n startLeft: number; // Distance from left of viewport\n barHeight: number;\n barWidth: number;\n targetLeft: number; // Target X position in distribution\n targetTop: number; // Target Y position (from top of viewport)\n color: string;\n type: 'observed' | 'theory';\n}\n\nconst poissonPalette = {\n solid: '#60a5fa',\n dark: '#3b82f6',\n light: '#93c5fd',\n glow: 'rgba(96,165,250,0.5)',\n panel: 'rgba(0,20,40,0.8)',\n};\n\nconst lightlanePalette = {\n solid: '#fbbf24',\n dark: '#f59e0b',\n light: '#fef3c7',\n glow: 'rgba(251,191,36,0.5)',\n panel: 'rgba(40,20,0,0.8)',\n};\n\nconst headlineFont = 'var(--font-headline)';\nconst uiFont = 'var(--font-ui)';\nconst terminalGreen = 'var(--terminal-green)';\nconst terminalGreenSoft = 'var(--terminal-green-soft)';\nconst terminalGreenMuted = 'var(--terminal-green-muted)';\n\nfunction FlyingBars({ bars }: { bars: FlyingBar[] }) {\n const screenHeight = window.innerHeight;\n // const screenWidth = window.innerWidth;\n\n return (\n <>\n {bars.map((bar) => {\n // Convert bottom to top positioning\n // startBottom is distance from bottom, so top = screenHeight - startBottom - barHeight\n const startTop = screenHeight - bar.startBottom - bar.barHeight;\n\n const deltaX = bar.targetLeft - bar.startLeft;\n const deltaY = bar.targetTop - startTop; // negative = move up\n\n return (\n \n );\n })}\n \n \n );\n}\n\ninterface RunningMoments {\n n: number;\n meanObs: number;\n m2Obs: number;\n meanIso: number;\n m2Iso: number;\n}\n\nfunction createEmptyMoments(): RunningMoments {\n return { n: 0, meanObs: 0, m2Obs: 0, meanIso: 0, m2Iso: 0 };\n}\n\nfunction updateMoments(m: RunningMoments, observed: number, isotropic: number): RunningMoments {\n const nextN = m.n + 1;\n\n const deltaObs = observed - m.meanObs;\n const meanObs = m.meanObs + deltaObs / nextN;\n const m2Obs = m.m2Obs + deltaObs * (observed - meanObs);\n\n const deltaIso = isotropic - m.meanIso;\n const meanIso = m.meanIso + deltaIso / nextN;\n const m2Iso = m.m2Iso + deltaIso * (isotropic - meanIso);\n\n return { n: nextN, meanObs, m2Obs, meanIso, m2Iso };\n}\n\ninterface SamplingSystemProps {\n complexity: number;\n radius: number; // Lightlane radius (collision threshold)\n distance: number; // Visual lightlane cylinder length\n theta: number;\n phi: number;\n observationMode: 'orbit' | 'randomSphere';\n allSectors: boolean;\n cumulative: boolean;\n K: number; // Poisson constant\n orbitRadius: number; // Satellite orbit radius\n orbitVelocity: number;\n thetaDrift: number;\n thetaJitter: number;\n phiJitter: number;\n usePoisson: boolean;\n speedup: number; // Time speedup factor\n paused: boolean;\n sceneView: SceneViewMode;\n bottomInset?: number;\n showNumericDiagnostics?: boolean;\n compactNumericDiagnostics?: boolean;\n host?: GlitchHostBridge;\n centerDistribution?: boolean;\n hideFlyingBars?: boolean;\n}\n\nexport function SamplingSystem({\n complexity,\n radius,\n distance,\n theta,\n phi,\n observationMode,\n allSectors,\n cumulative,\n K,\n orbitRadius,\n orbitVelocity,\n thetaDrift,\n thetaJitter,\n phiJitter,\n usePoisson,\n speedup,\n paused,\n sceneView,\n bottomInset = 0,\n showNumericDiagnostics = true,\n compactNumericDiagnostics = false,\n host,\n centerDistribution = false,\n hideFlyingBars = false\n}: SamplingSystemProps) {\n const [stats, setStats] = useState({\n current: 0,\n total: 0,\n lastCheck: 0,\n overlaps: 0,\n currentTheory: 0,\n binOverlapsMean: 0,\n currentExpectedLightlane: 0\n });\n const subBinSamples = 4;\n const simulator = useMemo(() => createSamplingSimulation({\n D: orbitRadius,\n theta,\n phi,\n observationMode,\n velocity: orbitVelocity,\n thetaDrift,\n thetaJitter,\n phiJitter,\n distance,\n hitTestModel: 'segment',\n bin_size: 1,\n complexity,\n sub_bin_sampling: subBinSamples,\n flux: K,\n lane_radius: radius,\n allSectors,\n cumulative,\n usePoisson\n }), [orbitRadius, theta, phi, observationMode, orbitVelocity, thetaDrift, thetaJitter, phiJitter, complexity, K, radius, distance, allSectors, cumulative, usePoisson]);\n\n // Fixed size buffer for display\n const bufferSize = 60;\n const historyRef = useRef(new Array(bufferSize).fill(-1));\n const historyTheoryRef = useRef(new Array(bufferSize).fill(-1));\n const currentIndexRef = useRef(0);\n const [history, setHistory] = useState(new Array(bufferSize).fill(-1));\n const [historyTheory, setHistoryTheory] = useState(new Array(bufferSize).fill(-1));\n\n // Calculate expected lambda (mean) from theory: K * r² / (4 * d²)\n const lambdaMean = lambdaIsotropicForGeometry({\n flux: K,\n D: orbitRadius,\n lane_radius: radius,\n dt: 1,\n hitTestModel: 'segment',\n lane_length: distance\n });\n const lambdaStdDev = Math.sqrt(lambdaMean);\n\n // Distribution binning:\n // - Poisson mode: integer-aligned bins (one photon count per bin) to avoid quantization artifacts\n // - Deterministic mode: coarse continuous bins for readability\n const distributionBinsContinuous = 15;\n const binRangeHalf = 4 * lambdaStdDev;\n const binMin = Math.max(0, lambdaMean - binRangeHalf);\n const binMax = lambdaMean + binRangeHalf;\n const useDiscreteCountBins = usePoisson;\n const discreteBinMin = Math.max(0, Math.floor(binMin));\n const discreteBinMax = Math.max(discreteBinMin, Math.ceil(binMax));\n const distributionBins = useDiscreteCountBins\n ? (discreteBinMax - discreteBinMin + 1)\n : distributionBinsContinuous;\n const binWidth = useDiscreteCountBins\n ? 1\n : Math.max(1e-9, (binMax - binMin) / distributionBinsContinuous);\n\n // Helper to convert a count value to a bin index\n const valueToBinIndex = (value: number): number => {\n if (useDiscreteCountBins) {\n const k = Math.round(value);\n if (k <= discreteBinMin) return 0;\n if (k >= discreteBinMax) return distributionBins - 1;\n return k - discreteBinMin;\n }\n\n if (value < binMin) return 0;\n if (value >= binMax) return distributionBins - 1;\n return Math.floor((value - binMin) / binWidth);\n };\n\n // Helper to get the center value of a bin (for display)\n const binIndexToValue = (index: number): number => {\n if (useDiscreteCountBins) return discreteBinMin + index;\n return binMin + (index + 0.5) * binWidth;\n };\n\n const [distributionObserved, setDistributionObserved] = useState(new Array(distributionBins).fill(0));\n const [distributionTheory, setDistributionTheory] = useState(new Array(distributionBins).fill(0));\n\n // Track which bars have been unfastened (clicked)\n const [unfastenedObserved, setUnfastenedObserved] = useState>(new Set());\n const [unfastenedTheory, setUnfastenedTheory] = useState>(new Set());\n\n // Flying bars state\n const [flyingBars, setFlyingBars] = useState([]);\n const flyingBarIdRef = useRef(0);\n const summaryRef = useRef(createEmptyMoments());\n const [summary, setSummary] = useState(createEmptyMoments());\n const pausedRef = useRef(paused);\n const lastBarSoundAtRef = useRef(0);\n\n // Reset all counting when complexity or mean-affecting parameters change\n // (K, radius, orbitRadius affect lambdaMean which determines bin ranges)\n useEffect(() => {\n // Reset distribution histograms\n setDistributionObserved(new Array(distributionBins).fill(0));\n setDistributionTheory(new Array(distributionBins).fill(0));\n\n // Reset periodogram buffers\n historyRef.current.fill(-1);\n historyTheoryRef.current.fill(-1);\n currentIndexRef.current = 0;\n setHistory(new Array(bufferSize).fill(-1));\n setHistoryTheory(new Array(bufferSize).fill(-1));\n\n // Reset unfastened tracking\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n\n // Clear flying bars\n setFlyingBars([]);\n summaryRef.current = createEmptyMoments();\n setSummary(createEmptyMoments());\n setStats({\n current: 0,\n total: 0,\n lastCheck: 0,\n overlaps: 0,\n currentTheory: 0,\n binOverlapsMean: 0,\n currentExpectedLightlane: 0\n });\n }, [complexity, K, radius, distance, orbitRadius, theta, phi, observationMode, orbitVelocity, thetaDrift, thetaJitter, phiJitter, allSectors, cumulative, usePoisson, distributionBins]);\n\n const ingestBins = (bins: Array<{\n lightlane: number;\n isotropic: number;\n overlapsMean: number;\n lambdaLightlaneExpected: number;\n }>, lastLaneCount: number) => {\n if (bins.length === 0) return;\n\n let totalObservedAdded = 0;\n let lastObserved = 0;\n let lastTheory = 0;\n let lastBinOverlapsMean = stats.binOverlapsMean;\n let lastExpectedLightlane = stats.currentExpectedLightlane;\n let nextSummary = summaryRef.current;\n\n for (const bin of bins) {\n const observed = bin.lightlane;\n const observedTheory = bin.isotropic;\n totalObservedAdded += observed;\n lastObserved = observed;\n lastTheory = observedTheory;\n lastBinOverlapsMean = bin.overlapsMean;\n lastExpectedLightlane = bin.lambdaLightlaneExpected;\n nextSummary = updateMoments(nextSummary, observed, observedTheory);\n\n historyRef.current[currentIndexRef.current] = observed;\n historyTheoryRef.current[currentIndexRef.current] = observedTheory;\n currentIndexRef.current++;\n\n if (currentIndexRef.current >= bufferSize) {\n const currentMaxVal = Math.max(10, ...historyRef.current.filter(v => v >= 0), ...historyTheoryRef.current.filter(v => v >= 0));\n autoAccumulateRow([...historyRef.current], [...historyTheoryRef.current], currentMaxVal);\n\n historyRef.current.fill(-1);\n historyTheoryRef.current.fill(-1);\n currentIndexRef.current = 0;\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n }\n }\n summaryRef.current = nextSummary;\n\n setStats(prev => ({\n current: lastObserved,\n total: prev.total + totalObservedAdded,\n lastCheck: Date.now(),\n overlaps: lastLaneCount,\n currentTheory: lastTheory,\n binOverlapsMean: lastBinOverlapsMean,\n currentExpectedLightlane: lastExpectedLightlane\n }));\n setSummary(nextSummary);\n setHistory([...historyRef.current]);\n setHistoryTheory([...historyTheoryRef.current]);\n };\n\n // Swipe state for unfastening multiple bars\n const isDraggingRef = useRef(false);\n const dragTypeRef = useRef<'observed' | 'theory' | null>(null);\n\n // Handle swipe/drag to unfasten multiple bars\n const handlePointerDown = (e: React.PointerEvent, type: 'observed' | 'theory') => {\n e.stopPropagation();\n isDraggingRef.current = true;\n dragTypeRef.current = type;\n (e.target as HTMLElement).setPointerCapture(e.pointerId);\n safePlaySound(host, SOUND_IDS.click, { target: `${type}-periodogram`, action: 'pointer-down' });\n };\n\n const handlePointerMove = (e: React.PointerEvent, type: 'observed' | 'theory', historyData: number[], maxValue: number) => {\n if (!isDraggingRef.current || dragTypeRef.current !== type) return;\n e.stopPropagation();\n\n // Calculate which bar index we're over\n const rect = (e.currentTarget as HTMLElement).getBoundingClientRect();\n const x = e.clientX - rect.left;\n const barIndex = Math.floor((x / rect.width) * bufferSize);\n\n if (barIndex >= 0 && barIndex < bufferSize) {\n const val = historyData[barIndex];\n const isUnfastened = type === 'observed' ? unfastenedObserved.has(barIndex) : unfastenedTheory.has(barIndex);\n if (val >= 0 && !isUnfastened) {\n handleBarClick(barIndex, val, type, maxValue);\n }\n }\n };\n\n const handlePointerUp = (e: React.PointerEvent) => {\n e.stopPropagation();\n isDraggingRef.current = false;\n dragTypeRef.current = null;\n };\n\n // Calculate bar dimensions for flying animation\n const getBarDimensions = (index: number, value: number, type: 'observed' | 'theory', maxValue: number) => {\n const screenWidth = window.innerWidth;\n // const screenHeight = window.innerHeight;\n\n // Starting X position: (index / bufferSize) * screenWidth\n const startLeft = (index / bufferSize) * screenWidth;\n\n // Bar width\n const barWidth = screenWidth / bufferSize;\n\n // Bar height based on value\n const barHeight = Math.max(2, (value / maxValue) * 80);\n\n // Starting position from BOTTOM of viewport\n // Observed histogram: 100px container at very bottom with 20px padding\n // Theory histogram: 100px container above observed with 5px padding\n // Bars are aligned to bottom of their containers\n const observedBottom = 25; // within observed container\n const theoryBottom = 110; // within theory container (100px + some padding)\n const startBottom = type === 'observed' ? observedBottom : theoryBottom;\n\n // Bin index using the centered distribution mapping\n const binIndex = valueToBinIndex(value);\n\n // Target X position: place at the bin's visual position in the distribution histogram\n // The histogram spans the full width with distributionBins bins\n // Account for padding (20px on each side)\n const histogramPadding = 20;\n const histogramWidth = screenWidth - (2 * histogramPadding);\n const targetLeft = histogramPadding + ((binIndex + 0.5) / distributionBins) * histogramWidth;\n\n // Target Y position (from TOP of viewport) - aim for distribution area\n const targetTop = 150;\n\n return { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex };\n };\n\n // Handle clicking on a bar to unfasten it\n const handleBarClick = (index: number, value: number, type: 'observed' | 'theory', maxValue: number) => {\n if (value < 0) return; // Don't unfasten empty slots\n\n const now = Date.now();\n if (now - lastBarSoundAtRef.current >= 45) {\n lastBarSoundAtRef.current = now;\n safePlaySound(host, SOUND_IDS.computeStep, { target: `${type}-periodogram`, value });\n }\n\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop } = getBarDimensions(index, value, type, maxValue);\n\n // Create flying bar\n const newBar: FlyingBar = {\n id: flyingBarIdRef.current++,\n value,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: type === 'observed' ? lightlanePalette.solid : poissonPalette.solid,\n type\n };\n\n setFlyingBars(prev => [...prev, newBar]);\n\n // Mark bar as unfastened\n if (type === 'observed') {\n setUnfastenedObserved(prev => new Set(prev).add(index));\n // Update distribution using centered binning\n setDistributionObserved(prev => {\n const newDist = [...prev];\n const binIdx = valueToBinIndex(value);\n newDist[binIdx]++;\n return newDist;\n });\n } else {\n setUnfastenedTheory(prev => new Set(prev).add(index));\n // Update distribution using centered binning\n setDistributionTheory(prev => {\n const newDist = [...prev];\n const binIdx = valueToBinIndex(value);\n newDist[binIdx]++;\n return newDist;\n });\n }\n };\n\n // Auto-accumulate entire row when buffer fills\n const autoAccumulateRow = (historyData: number[], theoryData: number[], maxValue: number) => {\n const newFlyingBars: FlyingBar[] = [];\n const newDistObserved = [...distributionObserved];\n const newDistTheory = [...distributionTheory];\n\n // Process observed bars\n historyData.forEach((val, i) => {\n if (val >= 0) {\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex } = getBarDimensions(i, val, 'observed', maxValue);\n newFlyingBars.push({\n id: flyingBarIdRef.current++,\n value: val,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: lightlanePalette.solid,\n type: 'observed'\n });\n newDistObserved[binIndex]++;\n }\n });\n\n // Process theory bars\n theoryData.forEach((val, i) => {\n if (val >= 0) {\n const { startLeft, startBottom, barHeight, barWidth, targetLeft, targetTop, binIndex } = getBarDimensions(i, val, 'theory', maxValue);\n newFlyingBars.push({\n id: flyingBarIdRef.current++,\n value: val,\n startLeft,\n startBottom,\n barHeight,\n barWidth,\n targetLeft,\n targetTop,\n color: poissonPalette.solid,\n type: 'theory'\n });\n newDistTheory[binIndex]++;\n }\n });\n\n setFlyingBars(prev => [...prev, ...newFlyingBars]);\n setDistributionObserved(newDistObserved);\n setDistributionTheory(newDistTheory);\n };\n\n // Clean up flying bars after animation completes\n useEffect(() => {\n if (flyingBars.length > 0) {\n const timer = setTimeout(() => {\n setFlyingBars([]);\n }, 1300); // Clear after animation duration (1.2s) + buffer\n return () => clearTimeout(timer);\n }\n }, [flyingBars.length]); // Only trigger on length change to avoid infinite loops\n\n // Reset unfastened state when buffer resets\n const prevIndexRef = useRef(0);\n useEffect(() => {\n if (currentIndexRef.current < prevIndexRef.current) {\n // Buffer was reset\n setUnfastenedObserved(new Set());\n setUnfastenedTheory(new Set());\n }\n prevIndexRef.current = currentIndexRef.current;\n });\n useEffect(() => {\n const wasPaused = pausedRef.current;\n pausedRef.current = paused;\n if (!paused || wasPaused) return;\n\n const flushed = simulator.flushPartialBin();\n if (flushed) {\n ingestBins([flushed], flushed.overlaps);\n }\n }, [paused, simulator]);\n\n useFrame((_, delta) => {\n if (paused) return;\n const step = simulator.simulate(delta * speedup);\n\n if (step.subBinEvents > 0) {\n setStats(prev => ({ ...prev, overlaps: step.lastLaneCount }));\n }\n\n ingestBins(step.bins, step.lastLaneCount);\n });\n\n // Calculate max ignoring -1 placeholders\n const validValues = history.filter(v => v >= 0);\n const validValuesTheory = historyTheory.filter(v => v >= 0);\n const maxValLightlane = Math.max(10, Math.max(0, ...validValues));\n const maxValPoisson = Math.max(10, Math.max(0, ...validValuesTheory));\n // Distribution max for scaling\n const maxDistribution = Math.max(1, ...distributionObserved, ...distributionTheory);\n const observedVariance = summary.n > 1 ? summary.m2Obs / (summary.n - 1) : 0;\n const isotropicVariance = summary.n > 1 ? summary.m2Iso / (summary.n - 1) : 0;\n const meanRatio = summary.meanIso > 0 ? summary.meanObs / summary.meanIso : 0;\n const varianceRatio = isotropicVariance > 0 ? observedVariance / isotropicVariance : 0;\n const fanoObserved = summary.meanObs > 0 ? observedVariance / summary.meanObs : 0;\n const fanoIsotropic = summary.meanIso > 0 ? isotropicVariance / summary.meanIso : 0;\n const laneCount = simulator.getLaneCount();\n const lcIsoTarget = laneCount > 0 && K > 0 ? (laneCount * lambdaMean) / K : 0;\n const renderNumericInline = showNumericDiagnostics && !compactNumericDiagnostics;\n const showPoissonView = sceneView !== 'lightlane';\n const showLightlaneView = sceneView !== 'poisson';\n const visibleFlyingBars = flyingBars.filter((bar) => (\n (bar.type === 'theory' && showPoissonView) || (bar.type === 'observed' && showLightlaneView)\n ));\n const distributionTitle = sceneView === 'poisson'\n ? 'Shot Noise Distribution'\n : sceneView === 'lightlane'\n ? 'Shot Noise + Lightlane'\n : 'Head to Head';\n\n const metricCardBase: React.CSSProperties = {\n background: 'rgba(255,255,255,0.04)',\n border: '1px solid var(--terminal-panel-border)',\n borderRadius: '6px',\n padding: '6px 8px',\n fontFamily: uiFont\n };\n\n const numericCards = (\n
\n
\n
Samples
\n
{summary.n}
\n
\n
\n
Mean Ratio (Lightlane/Poisson)
\n
{summary.n > 0 ? meanRatio.toFixed(3) : 'n/a'}
\n
\n
\n
Var Ratio (Lightlane/Poisson)
\n
1.1 ? lightlanePalette.light : poissonPalette.light }}>\n {summary.n > 1 ? varianceRatio.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Lightlane
\n
\n {summary.n > 1 ? fanoObserved.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Poisson
\n
\n {summary.n > 1 ? fanoIsotropic.toFixed(3) : 'n/a'}\n
\n
\n
\n
Fano Ratio (Lightlane/Poisson)
\n
0 && fanoObserved / fanoIsotropic > 1.05 ? lightlanePalette.light : terminalGreenSoft }}>\n {summary.n > 1 && fanoIsotropic > 0 ? (fanoObserved / fanoIsotropic).toFixed(3) : 'n/a'}\n
\n
\n
\n );\n\n const numericContext = (\n
\n LC(now): {stats.overlaps}\n LC(bin avg): {stats.binOverlapsMean.toFixed(2)}\n LC iso target: {Number.isFinite(lcIsoTarget) ? lcIsoTarget.toFixed(2) : 'n/a'}\n E[Lightlane|bin]: {stats.currentExpectedLightlane.toFixed(2)}\n Lightlane(last): {typeof stats.current === 'number' ? Number(stats.current).toFixed(2) : stats.current}\n Lanes: {laneCount}\n Mode: {observationMode === 'randomSphere' ? 'Random Sphere' : 'Orbit'}\n theta drift: {thetaDrift.toFixed(3)}\n theta jitter: {thetaJitter.toFixed(3)}\n phi jitter: {phiJitter.toFixed(3)}\n
\n );\n\n return (\n <>\n {/* Flying bars animation */}\n {!hideFlyingBars && (\n \n \n \n )}\n\n {/* Distribution Histogram at Top */}\n \n
\n {distributionTitle}\n \n (λ = {lambdaMean.toFixed(1)}, σ = {lambdaStdDev.toFixed(1)})\n \n
\n
\n {/* Y-axis label */}\n
\n ← Frequency (how many)\n
\n
\n {distributionObserved.map((count, i) => {\n const theoryCount = distributionTheory[i];\n const obsHeight = (count / maxDistribution) * 100;\n const theoryHeight = (theoryCount / maxDistribution) * 100;\n\n return (\n
\n
\n {showPoissonView && (\n
0 ? '2px' : '0',\n transition: 'height 0.3s ease',\n boxShadow: theoryCount > 0 ? `0 0 5px ${poissonPalette.glow}` : 'none',\n position: 'relative'\n }}>\n {theoryCount > 0 && (\n
\n {theoryCount}\n
\n )}\n
\n )}\n {showLightlaneView && (\n
0 ? '2px' : '0',\n transition: 'height 0.3s ease',\n boxShadow: count > 0 ? `0 0 5px ${lightlanePalette.glow}` : 'none',\n position: 'relative'\n }}>\n {count > 0 && (\n
\n {count}\n
\n )}\n
\n )}\n
\n {/* Bin label (photon count value - center of bin) */}\n
\n {binIndexToValue(i).toFixed(0)}\n
\n
\n );\n })}\n
\n {/* X-axis label */}\n
\n Photon Count Value →\n
\n
\n {showPoissonView && (\n
\n
\n Theory (Poisson)\n
\n )}\n {showLightlaneView && (\n
\n
\n Observed (Lightlanes)\n
\n )}\n
\n {renderNumericInline && numericCards}\n {renderNumericInline && numericContext}\n
\n \n\n {showNumericDiagnostics && compactNumericDiagnostics && (\n \n
\n
\n Diagnostics\n
\n {numericCards}\n {numericContext}\n
\n \n )}\n\n {/* Periodogram Histograms at Bottom of Screen */}\n \n {showPoissonView && (\n handlePointerDown(e, 'theory')}\n onPointerMove={(e) => handlePointerMove(e, 'theory', historyTheory, maxValPoisson)}\n onPointerUp={handlePointerUp}\n onPointerLeave={handlePointerUp}\n style={{\n width: '100%',\n height: '100px',\n background: `linear-gradient(to top, ${poissonPalette.panel}, transparent)`,\n display: 'flex',\n alignItems: 'flex-end',\n padding: showLightlaneView ? '0 20px 5px 20px' : '0 20px 20px 20px',\n gap: '2px',\n position: 'relative',\n borderBottom: showLightlaneView ? '1px solid #555' : 'none',\n pointerEvents: 'auto',\n touchAction: 'none',\n cursor: 'crosshair'\n }}\n >\n
\n THEORY (Poisson) - Swipe or click to count\n
\n {historyTheory.map((val, i) => {\n const isUnfastened = unfastenedTheory.has(i);\n return (\n = 0 && !isUnfastened ? 'clickable-bar' : ''}\n style={{\n flex: 1,\n height: val >= 0 && !isUnfastened ? `${(val / maxValPoisson) * 100}%` : '0',\n background: val === 0 ? 'rgba(255,255,255,0.1)' : poissonPalette.solid,\n color: poissonPalette.solid,\n minHeight: val >= 0 && !isUnfastened ? '1px' : '0',\n transition: 'all 0.3s ease',\n opacity: isUnfastened ? 0 : 0.8,\n borderRadius: '2px 2px 0 0',\n transform: isUnfastened ? 'scale(0)' : 'scale(1)',\n pointerEvents: 'none',\n }}\n />\n );\n })}\n
\n Max: {maxValPoisson}\n
\n
\n )}\n\n {showLightlaneView && (\n handlePointerDown(e, 'observed')}\n onPointerMove={(e) => handlePointerMove(e, 'observed', history, maxValLightlane)}\n onPointerUp={handlePointerUp}\n onPointerLeave={handlePointerUp}\n style={{\n width: '100%',\n height: '100px',\n background: 'linear-gradient(to top, rgba(0,0,0,0.8), transparent)',\n display: 'flex',\n alignItems: 'flex-end',\n padding: '0 20px 20px 20px',\n gap: '2px',\n position: 'relative',\n pointerEvents: 'auto',\n touchAction: 'none',\n cursor: 'crosshair'\n }}\n >\n
\n OBSERVED (Lightlanes) - Swipe or click to count\n
\n {history.map((val, i) => {\n const isUnfastened = unfastenedObserved.has(i);\n return (\n = 0 && !isUnfastened ? 'clickable-bar' : ''}\n style={{\n flex: 1,\n height: val >= 0 && !isUnfastened ? `${(val / maxValLightlane) * 100}%` : '0',\n background: val === 0 ? 'rgba(255,255,255,0.1)' : (val > 0 ? lightlanePalette.solid : 'transparent'),\n color: lightlanePalette.solid,\n minHeight: val >= 0 && !isUnfastened ? '2px' : '0',\n transition: 'all 0.3s ease',\n borderTop: val >= 0 && !isUnfastened ? `2px solid ${lightlanePalette.light}` : 'none',\n opacity: isUnfastened ? 0 : 0.8,\n position: 'relative',\n borderRadius: '2px 2px 0 0',\n transform: isUnfastened ? 'scale(0)' : 'scale(1)',\n pointerEvents: 'none',\n }}\n >\n {(i + 1) % 5 === 0 && !isUnfastened && (\n
\n {i + 1}\n
\n )}\n
\n );\n })}\n
\n Max: {maxValLightlane}\n
\n
\n )}\n \n \n );\n}\n","\nexport type SceneViewMode = 'both' | 'poisson' | 'lightlane';\n\nexport interface LightlaneProps {\n complexity?: number;\n radius?: number;\n distance?: number;\n chandraDistance?: number;\n showAxes?: boolean;\n lightlanes?: boolean;\n allSectors?: boolean;\n cumulative?: boolean;\n phi?: number;\n theta?: number;\n observationMode?: 'orbit' | 'randomSphere';\n orbitSpeed?: number;\n thetaDrift?: number;\n thetaJitter?: number;\n phiJitter?: number;\n speedup?: number;\n K?: number;\n usePoisson?: boolean;\n sceneView?: SceneViewMode;\n hideScenePresentation?: boolean;\n hideFlyingBars?: boolean;\n hideDataBoxes?: boolean;\n}\n\nexport const defaultProps: Required = {\n complexity: 1,\n radius: 2,\n distance: 5,\n chandraDistance: 6,\n showAxes: false, // Cleaner look for challenge\n lightlanes: true, // Always show lightlanes\n allSectors: true,\n cumulative: false,\n phi: 0,\n theta: Math.PI / 2,\n observationMode: 'orbit',\n orbitSpeed: 0.2,\n thetaDrift: 0,\n thetaJitter: 0,\n phiJitter: 0,\n speedup: 1,\n K: 1000,\n usePoisson: true,\n sceneView: 'both',\n hideScenePresentation: false,\n hideFlyingBars: false,\n hideDataBoxes: false\n};\n\nexport interface GlitchComponentConfig {\n id: string;\n name: string;\n version: string;\n params: Record;\n}\n\nexport interface GlitchHostBridge {\n playSound?: (id: string, payload?: Record) => void;\n stopSound?: (id: string, payload?: Record) => void;\n emit?: (type: string, payload?: unknown) => void;\n}\n\nexport interface GlitchTheme {\n primary: string; // #6366f1\n accent: string; // #22d3ee\n bg: string; // #0a0a0f\n bgSecondary: string; // #12121a\n text: string; // #e8e8ec\n textMuted: string; // #9999a8\n border: string; // #2a2a3a\n}\n\nexport interface GlitchComponentResult {\n success: boolean;\n score?: number;\n data?: unknown;\n error?: string;\n}\n\nexport interface GlitchComponentProps {\n config: GlitchComponentConfig;\n onComplete: (result: GlitchComponentResult) => void;\n onProgress?: (percent: number) => void;\n theme?: GlitchTheme;\n className?: string;\n host?: GlitchHostBridge;\n}\n\nexport interface ParamSchema {\n [key: string]: {\n type: 'number' | 'string' | 'boolean' | 'color' | 'select' | 'range';\n label?: string;\n description?: string;\n default: unknown;\n options?: { value: string | number; label: string }[];\n min?: number;\n max?: number;\n step?: number;\n };\n}\n\nexport interface GlitchComponentMetadata {\n name: string;\n displayName: string;\n version: string;\n paramSchema: ParamSchema;\n defaultParams: Record;\n}\n","import { useEffect, useRef, useState } from 'react'\nimport { useFrame } from '@react-three/fiber'\nimport { Grid, Html } from '@react-three/drei'\nimport { DiophantineVectors } from './components/DiophantineVectors'\nimport { FanoSweepPanel } from './components/FanoSweepPanel'\nimport { PoissonShell } from './components/PoissonShell'\nimport { PulsingSphere } from './components/PulsingSphere'\nimport { OrbitingObject } from './components/OrbitingObject'\nimport { SamplingSystem } from './components/SamplingSystem'\nimport { SOUND_IDS, safePlaySound } from './hostBridge'\nimport { type GlitchComponentProps, type LightlaneProps, type SceneViewMode, defaultProps as internalDefaults } from './types'\n\ntype ComponentDevUiOverrides = {\n showNumericDiagnostics?: boolean;\n compactNumericDiagnostics?: boolean;\n onOpenHarness?: () => void;\n onSetParam?: (name: 'complexity' | 'speedup', value: number) => void;\n maxComplexity?: number;\n maxSpeedup?: number;\n};\n\ntype ComponentProps = GlitchComponentProps & {\n devUi?: ComponentDevUiOverrides;\n};\n\nexport default function Component(props: ComponentProps) {\n const host = props.host;\n const compactNumericDiagnostics = props.devUi?.compactNumericDiagnostics ?? false;\n const maxComplexity = props.devUi?.maxComplexity ?? 20;\n const maxSpeedup = props.devUi?.maxSpeedup ?? 240;\n const bottomMenuHeight = 74;\n const cycleLevelCount = 20;\n\n // Extract params from config\n const params = props.config?.params || {};\n\n // Merge props with defaults, casting params to LightlaneProps\n const {\n complexity,\n radius,\n distance,\n chandraDistance,\n showAxes,\n lightlanes,\n allSectors,\n cumulative,\n phi,\n theta,\n observationMode,\n orbitSpeed,\n thetaDrift,\n thetaJitter,\n phiJitter,\n speedup,\n K,\n usePoisson,\n sceneView: configuredSceneView,\n hideScenePresentation,\n hideFlyingBars,\n hideDataBoxes\n } = { ...internalDefaults, ...params } as Required;\n const showNumericDiagnostics = !hideDataBoxes;\n\n // Track global orbit time to ensure continuity\n const orbitTimeRef = useRef(0);\n const simTimeRef = useRef(0);\n const [paused, setPaused] = useState(false);\n const [page, setPage] = useState<'scene' | 'fano'>('scene');\n const [sceneView, setSceneView] = useState(configuredSceneView);\n const [effectiveComplexity, setEffectiveComplexity] = useState(complexity);\n const [effectiveSpeedup, setEffectiveSpeedup] = useState(speedup);\n const [settingFlash, setSettingFlash] = useState(null);\n const settingFlashTimerRef = useRef | null>(null);\n\n useEffect(() => {\n setSceneView(configuredSceneView);\n }, [configuredSceneView]);\n\n useEffect(() => {\n setEffectiveComplexity(complexity);\n }, [complexity]);\n\n useEffect(() => {\n setEffectiveSpeedup(speedup);\n }, [speedup]);\n\n const hideFlyingBarsAtHighSpeed = effectiveSpeedup > 20;\n const showPoissonView = sceneView !== 'lightlane';\n const showLightlaneView = sceneView !== 'poisson';\n const isComplexityEnabled = page === 'scene' && sceneView !== 'poisson';\n\n const getModeLabel = (mode: SceneViewMode) => {\n if (mode === 'poisson') return 'Poisson';\n if (mode === 'lightlane') return 'Lightlane';\n return 'Both';\n };\n\n const playUiHover = () => {\n safePlaySound(host, SOUND_IDS.hover, { page, sceneView });\n };\n\n const playUiClick = (target: string, payload?: Record) => {\n safePlaySound(host, SOUND_IDS.click, { page, sceneView, target, ...payload });\n };\n\n const flashSetting = (message: string) => {\n setSettingFlash(message);\n if (settingFlashTimerRef.current) clearTimeout(settingFlashTimerRef.current);\n settingFlashTimerRef.current = setTimeout(() => {\n setSettingFlash(null);\n settingFlashTimerRef.current = null;\n }, 1500);\n };\n\n const getCycleLevels = (maxValue: number) => {\n if (cycleLevelCount <= 1) return [maxValue];\n\n const interpolatedLevels = Array.from({ length: cycleLevelCount }, (_, index) => {\n if (index === 0) return 1;\n if (index === cycleLevelCount - 1) return maxValue;\n return Math.round(1 + ((maxValue - 1) * index) / (cycleLevelCount - 1));\n });\n\n return Array.from(new Set(interpolatedLevels)).sort((a, b) => a - b);\n };\n\n const getNextCycledValue = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n return levels.find((level) => current < level) ?? levels[levels.length - 1];\n };\n\n const getPreviousCycledValue = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n for (let index = levels.length - 1; index >= 0; index -= 1) {\n if (current > levels[index]) return levels[index];\n }\n return levels[0];\n };\n\n const getCycleLevelIndex = (current: number, maxValue: number) => {\n const levels = getCycleLevels(maxValue);\n const index = levels.findIndex((level) => current <= level);\n return index >= 0 ? index : levels.length - 1;\n };\n\n const complexityLevel = getCycleLevelIndex(effectiveComplexity, maxComplexity);\n const turboLevel = getCycleLevelIndex(effectiveSpeedup, maxSpeedup);\n const complexityFill = `${((complexityLevel + 1) / cycleLevelCount) * 100}%`;\n const turboFill = `${((turboLevel + 1) / cycleLevelCount) * 100}%`;\n const canDecreaseComplexity = isComplexityEnabled && effectiveComplexity > getCycleLevels(maxComplexity)[0];\n const canIncreaseComplexity = isComplexityEnabled && effectiveComplexity < getCycleLevels(maxComplexity).at(-1)!;\n const canDecreaseSpeedup = effectiveSpeedup > getCycleLevels(maxSpeedup)[0];\n const canIncreaseSpeedup = effectiveSpeedup < getCycleLevels(maxSpeedup).at(-1)!;\n\n const stepComplexity = (direction: 'down' | 'up') => {\n if (!isComplexityEnabled) return;\n const next = direction === 'up'\n ? getNextCycledValue(effectiveComplexity, maxComplexity)\n : getPreviousCycledValue(effectiveComplexity, maxComplexity);\n if (next === effectiveComplexity) return;\n playUiClick('complexity', { direction, value: next });\n setEffectiveComplexity(next);\n props.devUi?.onSetParam?.('complexity', next);\n flashSetting(`Complexity ${next}`);\n };\n\n const stepSpeedup = (direction: 'down' | 'up') => {\n const next = direction === 'up'\n ? getNextCycledValue(effectiveSpeedup, maxSpeedup)\n : getPreviousCycledValue(effectiveSpeedup, maxSpeedup);\n if (next === effectiveSpeedup) return;\n playUiClick('turbo', { direction, value: next });\n setEffectiveSpeedup(next);\n props.devUi?.onSetParam?.('speedup', next);\n flashSetting(`Turbo ${next}x`);\n };\n\n const cycleMode = () => {\n const modes: SceneViewMode[] = ['poisson', 'lightlane', 'both'];\n const currentIndex = modes.indexOf(sceneView);\n const nextMode = modes[(currentIndex + 1) % modes.length];\n playUiClick('mode', { value: nextMode });\n setSceneView(nextMode);\n flashSetting(`Mode ${getModeLabel(nextMode)}`);\n };\n\n const toggleFanoPage = () => {\n playUiClick('fano-page', { value: page === 'scene' ? 'fano' : 'scene' });\n setPage((prev) => (prev === 'scene' ? 'fano' : 'scene'));\n };\n\n useEffect(() => {\n const onKeyDown = (event: KeyboardEvent) => {\n if (event.code !== 'Space' || event.repeat) return;\n\n const target = event.target as HTMLElement | null;\n const tag = target?.tagName;\n if (tag === 'INPUT' || tag === 'TEXTAREA' || target?.isContentEditable) return;\n\n event.preventDefault();\n setPaused(prev => !prev);\n };\n\n window.addEventListener('keydown', onKeyDown);\n return () => window.removeEventListener('keydown', onKeyDown);\n }, []);\n\n useEffect(() => () => {\n if (settingFlashTimerRef.current) clearTimeout(settingFlashTimerRef.current);\n }, []);\n\n useFrame((_, delta) => {\n if (paused || page === 'fano') return;\n // Accumulate orbit time continuously based on current speed and speedup\n orbitTimeRef.current += delta * orbitSpeed * effectiveSpeedup;\n simTimeRef.current += delta * effectiveSpeedup;\n });\n\n // Keep the visual camera model aligned with the sampling engine when the\n // simulator is recreated/reset by configuration changes (e.g. complexity).\n useEffect(() => {\n orbitTimeRef.current = 0;\n simTimeRef.current = 0;\n }, [\n effectiveComplexity,\n radius,\n distance,\n chandraDistance,\n phi,\n theta,\n observationMode,\n orbitSpeed,\n thetaDrift,\n thetaJitter,\n phiJitter,\n effectiveSpeedup,\n K,\n allSectors,\n cumulative,\n usePoisson,\n ]);\n\n return (\n <>\n \n
\n {\n playUiClick('advanced');\n props.devUi?.onOpenHarness?.();\n }}\n onPointerEnter={playUiHover}\n style={{\n border: '1px solid var(--terminal-panel-border)',\n background: 'rgba(7,19,11,0.86)',\n color: 'var(--terminal-green-soft)',\n borderRadius: 10,\n padding: '10px 12px',\n fontSize: 12,\n fontWeight: 400,\n letterSpacing: '0.08em',\n fontFamily: 'var(--font-headline)',\n textTransform: 'uppercase',\n cursor: 'pointer',\n boxShadow: '0 8px 24px rgba(0,0,0,0.25)',\n }}\n >\n Advanced\n \n
\n \n\n {/* Lighting */}\n \n \n \n\n {page === 'scene' ? (\n <>\n {/* Main content */}\n {!hideScenePresentation && showPoissonView && }\n\n {!hideScenePresentation && showLightlaneView && (\n \n )}\n\n {!hideScenePresentation && }\n\n \n\n \n\n {paused && (\n \n \n \n \n \n \n )}\n\n {/* Helpers */}\n {showAxes && }\n \n \n ) : (\n setPage('scene')}\n host={host}\n />\n )}\n\n \n {settingFlash && (\n \n {settingFlash}\n
\n )}\n \n \n \n \n \n {Array.from({ length: cycleLevelCount }).map((_, index) => (\n \n ))}\n
\n \n Complexity {complexityLevel + 1}/{cycleLevelCount}\n
\n
\n
\n \n \n \n \n \n {Array.from({ length: cycleLevelCount }).map((_, index) => (\n \n ))}\n
\n \n Turbo {turboLevel + 1}/{cycleLevelCount}\n
\n
\n
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\n
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\n \n\n \n \n )\n}\n","import Component from './Component';\nimport { type GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'lightlane',\n displayName: 'Lightlane Challenge',\n version: '1.1.0',\n paramSchema: {\n hideScenePresentation: { type: 'boolean', label: 'Hide Sphere + Lightlanes', default: false },\n hideFlyingBars: { type: 'boolean', label: 'Hide Flying Bars', default: false },\n hideDataBoxes: { type: 'boolean', label: 'Hide Data Boxes', default: false },\n complexity: { type: 'range', label: 'Complexity', default: 5, min: 1, max: 20, step: 1 },\n radius: { type: 'range', label: 'Distance to star', default: 2, min: 0.1, max: 5, step: 0.1 },\n chandraDistance: { type: 'range', label: 'Chandra Camera Distance', default: 6, min: 5, max: 30, step: 0.5 },\n observationMode: {\n type: 'select',\n label: 'Observation Mode',\n default: 'randomSphere',\n options: [\n { value: 'orbit', label: 'Orbit' 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\ No newline at end of file diff --git a/public/glitch/glitch_lightlane/presets.d.ts b/public/glitch/glitch_lightlane/presets.d.ts new file mode 100644 index 0000000..5e71c13 --- /dev/null +++ b/public/glitch/glitch_lightlane/presets.d.ts @@ -0,0 +1,94 @@ +export interface Config { + complexity: number; + radius: number; + distance: number; + lightlanes: boolean; + allSectors: boolean; + cumulative: boolean; + phi: number; + theta: number; + orbitSpeed?: number; + usePoisson?: boolean; +} +export interface Preset { + name: string; + description: string; + duration: number; + start: Config; + end: Config; +} +export declare const presets: Preset[]; +export declare const namedPresets: { + "Iso: High Complexity": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Iso: Fast Orbit": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Iso: Optimal": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: Low Complexity": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: Slow Speed": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; + "Aniso: High Distance": { + complexity: number; + distance: number; + orbitSpeed: number; + lightlanes: boolean; + allSectors: boolean; + radius: number; + cumulative: boolean; + phi: number; + theta: number; + usePoisson?: boolean; + }; +}; diff --git a/public/glitch/glitch_lightlane/types.d.ts b/public/glitch/glitch_lightlane/types.d.ts new file mode 100644 index 0000000..114197e --- /dev/null +++ b/public/glitch/glitch_lightlane/types.d.ts @@ -0,0 +1,82 @@ +export type SceneViewMode = 'both' | 'poisson' | 'lightlane'; +export interface LightlaneProps { + complexity?: number; + radius?: number; + distance?: number; + chandraDistance?: number; + showAxes?: boolean; + lightlanes?: boolean; + allSectors?: boolean; + cumulative?: boolean; + phi?: number; + theta?: number; + observationMode?: 'orbit' | 'randomSphere'; + orbitSpeed?: number; + thetaDrift?: number; + thetaJitter?: number; + phiJitter?: number; + speedup?: number; + K?: number; + usePoisson?: boolean; + sceneView?: SceneViewMode; + hideScenePresentation?: boolean; + hideFlyingBars?: boolean; + hideDataBoxes?: boolean; +} +export declare const defaultProps: Required; +export interface GlitchComponentConfig { + id: string; + name: string; + version: string; + params: Record; +} +export interface GlitchHostBridge { + playSound?: (id: string, payload?: Record) => void; + stopSound?: (id: string, payload?: Record) => void; + emit?: (type: string, payload?: unknown) => void; +} +export interface GlitchTheme { + primary: string; + accent: string; + bg: string; + bgSecondary: string; + text: string; + textMuted: string; + border: string; +} +export interface GlitchComponentResult { + success: boolean; + score?: number; + data?: unknown; + error?: string; +} +export interface GlitchComponentProps { + config: GlitchComponentConfig; + onComplete: (result: GlitchComponentResult) => void; + onProgress?: (percent: number) => void; + theme?: GlitchTheme; + className?: string; + host?: GlitchHostBridge; +} +export interface ParamSchema { + [key: string]: { + type: 'number' | 'string' | 'boolean' | 'color' | 'select' | 'range'; + label?: string; + description?: string; + default: unknown; + options?: { + value: string | number; + label: string; + }[]; + min?: number; + max?: number; + step?: number; + }; +} +export interface GlitchComponentMetadata { + name: string; + displayName: string; + version: string; + paramSchema: ParamSchema; + defaultParams: Record; +} diff --git a/public/glitch/glitch_lightlane/vectors.d.ts b/public/glitch/glitch_lightlane/vectors.d.ts new file mode 100644 index 0000000..15013f8 --- /dev/null +++ b/public/glitch/glitch_lightlane/vectors.d.ts @@ -0,0 +1,2 @@ +export type Vector3Tuple = [number, number, number]; +export declare function getVectors(complexity: number, allSectors?: boolean): Vector3Tuple[]; diff --git a/public/glitch/glitch_lightlane/vite.svg b/public/glitch/glitch_lightlane/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/public/glitch/glitch_lightlane/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/glitch/glitch_migration_paradox/glitch.manifest.json b/public/glitch/glitch_migration_paradox/glitch.manifest.json new file mode 100644 index 0000000..755f96e --- /dev/null +++ b/public/glitch/glitch_migration_paradox/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "migration-paradox", + "displayName": "The Migration Paradox", + "version": "1.0.0", + "folderName": "glitch_migration_paradox", + "packageName": "migration-paradox", + "entry": "dist/migration-paradox.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "paradox", + "narrative" + ] +} diff --git a/public/glitch/glitch_migration_paradox/migration-paradox.js b/public/glitch/glitch_migration_paradox/migration-paradox.js new file mode 100644 index 0000000..e8de3a7 --- /dev/null +++ b/public/glitch/glitch_migration_paradox/migration-paradox.js @@ -0,0 +1,422 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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xe, + insightButton: ye, + glowPulse: Be, + insight: ve, + insightTitle: qe, + paradoxDiagram: Ce, + paradoxNode: Te, + paradoxArrow: Fe, + paradoxLoop: fe, + spin: we, + insightText: Ae, + completeButton: Ie, + successBox: Ee, + successTitle: Se, + stats: je, + scoreDisplay: De, + scoreLabel: Me, + scoreValue: Le +}, E = "/glitch/migration-paradox", Re = 2, He = 1, _ = { + presenting: { + badge: "Migration Briefing", + title: "Stakeholders Await Your Plan", + copy: "Frame the migration as progress without triggering fear.", + detail: "You need a strategy that creates momentum before the paradox closes in.", + tone: "primary" + }, + "rejection-value": { + badge: "Stakeholder Response", + title: "Too Much Change", + copy: "Your pitch sounded valuable, but it also sounded dangerous.", + detail: "They want new capability only if nothing important feels different.", + tone: "danger" + }, + "rejection-same": { + badge: "Stakeholder Response", + title: "Too Little Value", + copy: "Your pitch sounded safe, but it also sounded pointless.", + detail: "They want risk contained, but they still expect the migration to matter.", + tone: "danger" + }, + awareness: { + badge: "Pattern Detected", + title: "Expose The Contradiction", + copy: "Show how value and continuity need different phases, not one impossible promise.", + detail: "Explore, preserve, and then innovate.", + tone: "accent" + }, + complete: { + badge: "Challenge Complete", + title: "Paradox Resolved", + copy: "You reframed the migration into a sequence stakeholders can accept.", + detail: "Value and stability can coexist when delivery is phased.", + tone: "success" + } +}; +function Ue(o) { + if (typeof o != "string") + return E; + const i = o.trim(); + return i ? i.replace(/\/+$/, "") : E; +} +function y(o, i) { + return `${o}/${i}`; +} +function S(o, i) { + const n = o === "A" ? Re : He, s = Math.floor(Math.random() * n) + 1; + return y(i, `rejection${o}_${s}.png`); +} +function N({ + src: o, + alt: i, + fallback: n, + onImageError: s +}) { + return /* @__PURE__ */ a("div", { className: e.imageFrame, children: o ? /* @__PURE__ */ a( + "img", + { + src: o, + alt: i, + className: e.sceneImage, + onError: () => s(o) + } + ) : /* @__PURE__ */ t( + "div", + { + className: e.sceneFallback, + "data-tone": n.tone, + role: "img", + "aria-label": i, + children: [ + /* @__PURE__ */ a("div", { className: e.sceneFallbackGlow }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackHud, children: [ + /* @__PURE__ */ a("span", { className: e.sceneFallbackBadge, children: n.badge }), + /* @__PURE__ */ a("span", { className: e.sceneFallbackSignal, children: "GLITCH SIM" }) + ] }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackCopy, children: [ + /* @__PURE__ */ a("p", { className: e.sceneFallbackKicker, children: n.copy }), + /* @__PURE__ */ a("h3", { className: e.sceneFallbackTitle, children: n.title }), + /* @__PURE__ */ a("p", { className: e.sceneFallbackDetail, children: n.detail }) + ] }), + /* @__PURE__ */ t("div", { className: e.sceneFallbackBars, "aria-hidden": "true", children: [ + /* @__PURE__ */ a("span", {}), + /* @__PURE__ */ a("span", {}), + /* @__PURE__ */ a("span", {}) + ] }) + ] + } + ) }); +} +function Oe({ + config: o, + onComplete: i, + onProgress: n, + theme: s, + className: j +}) { + const k = (o == null ? void 0 : o.params) ?? {}, [h, p] = b("intro"), [l, T] = b({ + loopCount: 0, + valueAttempts: 0, + sameAttempts: 0 + }), [B, D] = b(!1), [F, f] = b(""), [w, M] = b({}), r = I( + () => Ue(k.assetBaseUrl ?? k.imageBaseUrl), + [k.assetBaseUrl, k.imageBaseUrl] + ), x = I(() => ({ + presenting: y(r, "presenting.png"), + insight: y(r, "insight.png"), + complete: y(r, "complete.png") + }), [r]), L = { + "--gc-primary": (s == null ? void 0 : s.primary) || "#6366f1", + "--gc-accent": (s == null ? void 0 : s.accent) || "#22d3ee", + "--gc-bg": (s == null ? void 0 : s.bg) || "#0a0a0f", + "--gc-bg-secondary": (s == null ? void 0 : s.bgSecondary) || "#12121a", + "--gc-text": (s == null ? void 0 : s.text) || "#e8e8ec", + "--gc-text-muted": (s == null ? void 0 : s.textMuted) || "#9999a8", + "--gc-border": (s == null ? void 0 : s.border) || "#2a2a3a" + }, m = l.valueAttempts + l.sameAttempts, v = m >= 4, u = d((c) => w[c] ? void 0 : c, [w]), g = d((c) => { + M((C) => C[c] ? C : { ...C, [c]: !0 }); + }, []), R = d(() => { + p("choice"), n == null || n(10); + }, [n]), H = d(() => { + f(S("A", r)), T((c) => ({ + ...c, + valueAttempts: c.valueAttempts + 1, + loopCount: c.loopCount + (c.sameAttempts > c.valueAttempts ? 0.5 : 0) + })), p("rejection-value"), n == null || n(Math.min(30 + m * 10, 80)); + }, [r, m, n]), U = d(() => { + f(S("B", r)), T((c) => ({ + ...c, + sameAttempts: c.sameAttempts + 1, + loopCount: c.loopCount + (c.valueAttempts > c.sameAttempts ? 0.5 : 0) + })), p("rejection-same"), n == null || n(Math.min(30 + m * 10, 80)); + }, [r, m, n]), A = d(() => { + p("choice"); + }, []), q = d(() => { + D(!0), p("awareness"), n == null || n(90); + }, [n]), Y = d(() => { + p("complete"), n == null || n(100), i({ + success: !0, + score: 100, + data: { + loopsBeforeInsight: Math.floor(l.loopCount), + totalAttempts: m, + valueAttempts: l.valueAttempts, + sameAttempts: l.sameAttempts + }, + rewards: { + paradoxes: [{ + id: "migration-paradox", + name: "The Migration Paradox", + description: "Stakeholders simultaneously demand that a migration adds value AND changes nothing.", + rarity: "uncommon" + }] + } + }); + }, [i, n, l, m]); + return /* @__PURE__ */ t("div", { className: `${e.container} ${j || ""}`, style: L, children: [ + h === "intro" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.presenting), + alt: "Presenting to stakeholders", + fallback: _.presenting, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "The Migration Paradox" }), + /* @__PURE__ */ a("p", { className: e.description, children: "You've been tasked with migrating the core system. Your stakeholders are waiting for your strategy." }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: R, children: "▶ Present Your Strategy" }) + ] }) + ] }), + h === "choice" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.presenting), + alt: "Presenting options", + fallback: _.presenting, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.dialogueHeader, children: [ + /* @__PURE__ */ a("h2", { className: e.title, children: "Choose Your Approach" }), + l.loopCount > 0 && /* @__PURE__ */ t("span", { className: e.loopBadge, children: [ + "LOOP ", + Math.floor(l.loopCount) + 1 + ] }) + ] }), + /* @__PURE__ */ a("p", { className: e.description, children: "How will you pitch the migration project?" }), + /* @__PURE__ */ t("div", { className: e.choices, children: [ + /* @__PURE__ */ t( + "button", + { + className: e.choiceButton, + onClick: H, + children: [ + /* @__PURE__ */ a("span", { className: e.choiceKey, children: "A" }), + /* @__PURE__ */ t("span", { className: e.choiceContent, children: [ + /* @__PURE__ */ a("span", { className: e.choiceTitle, children: "Emphasize Change" }), + /* @__PURE__ */ a("span", { className: e.choiceDesc, children: '"The new system will add value and enable new capabilities"' }) + ] }) + ] + } + ), + /* @__PURE__ */ t( + "button", + { + className: e.choiceButton, + onClick: U, + children: [ + /* @__PURE__ */ a("span", { className: e.choiceKey, children: "B" }), + /* @__PURE__ */ t("span", { className: e.choiceContent, children: [ + /* @__PURE__ */ a("span", { className: e.choiceTitle, children: "Emphasize No Change" }), + /* @__PURE__ */ a("span", { className: e.choiceDesc, children: '"Everything will work exactly the same as before"' }) + ] }) + ] + } + ) + ] }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "rejection-value" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(F), + alt: "Stakeholder rejection", + fallback: _["rejection-value"], + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.rejection, children: [ + /* @__PURE__ */ a("span", { className: e.rejectionBadge, children: "✗ REJECTED" }), + /* @__PURE__ */ a("p", { className: e.quote, children: '"Are you insane? This will break everything!"' }), + /* @__PURE__ */ a("p", { className: e.explanation, children: `"If you want to change the core system, you need to make absolutely sure that everything works exactly the same. We can't risk any disruption."` }) + ] }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: A, children: "▶ Try a Different Approach" }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "rejection-same" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(F), + alt: "Stakeholder rejection", + fallback: _["rejection-same"], + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.rejection, children: [ + /* @__PURE__ */ a("span", { className: e.rejectionBadge, children: "✗ REJECTED" }), + /* @__PURE__ */ a("p", { className: e.quote, children: '"This is insane. Why would we do this?"' }), + /* @__PURE__ */ a("p", { className: e.explanation, children: `"If everything is going to stay exactly the same, why would we spend all this time and money replacing the core system? What's the point?"` }) + ] }), + /* @__PURE__ */ a("button", { className: e.actionButton, onClick: A, children: "▶ Try a Different Approach" }), + v && !B && /* @__PURE__ */ a( + "button", + { + className: e.insightButton, + onClick: q, + children: "✦ Wait... I see the pattern" + } + ) + ] }) + ] }), + h === "awareness" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.insight), + alt: "Insight moment", + fallback: _.awareness, + onImageError: g + } + ), + /* @__PURE__ */ t("div", { className: e.dialogueBox, children: [ + /* @__PURE__ */ t("div", { className: e.insight, children: [ + /* @__PURE__ */ a("h2", { className: e.insightTitle, children: "★ The Paradox Revealed ★" }), + /* @__PURE__ */ t("p", { className: e.insightText, children: [ + "You've discovered the ", + /* @__PURE__ */ a("strong", { children: "Migration Paradox" }), + ": stakeholders demand that you change things - to give value. But also that nothing changes, to contain risk." + ] }), + /* @__PURE__ */ t("p", { className: e.insightText, children: [ + "The solution is ", + /* @__PURE__ */ a("strong", { children: "phased delivery" }), + ". First, prove business case. Then prove you can preserve existing functionality. Then introduce new capabilities." + ] }), + /* @__PURE__ */ t("div", { className: e.paradoxDiagram, children: [ + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Explore"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }), + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Preserve"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }), + /* @__PURE__ */ a("div", { className: e.paradoxNode, children: '"Innovate"' }), + /* @__PURE__ */ a("div", { className: e.paradoxArrow, children: "→" }) + ] }) + ] }), + /* @__PURE__ */ a("button", { className: e.completeButton, onClick: Y, children: "▶ Complete Challenge" }) + ] }) + ] }), + h === "complete" && /* @__PURE__ */ t("div", { className: e.panel, children: [ + /* @__PURE__ */ a( + N, + { + src: u(x.complete), + alt: "Challenge complete", + fallback: _.complete, + onImageError: g + } + ), + /* @__PURE__ */ a("div", { className: e.dialogueBox, children: /* @__PURE__ */ t("div", { className: e.successBox, children: [ + /* @__PURE__ */ a("h2", { className: e.successTitle, children: "★ CHALLENGE COMPLETE ★" }), + /* @__PURE__ */ t("p", { className: e.stats, children: [ + "You experienced ", + Math.floor(l.loopCount), + " loop(s) before seeing the pattern." + ] }), + /* @__PURE__ */ t("div", { className: e.scoreDisplay, children: [ + /* @__PURE__ */ a("span", { className: e.scoreLabel, children: "SCORE" }), + /* @__PURE__ */ a("span", { className: e.scoreValue, children: "100" }) + ] }) + ] }) }) + ] }) + ] }); +} +const Ve = { + name: "migration-paradox", + displayName: "The Migration Paradox", + version: "1.0.0", + paramSchema: { + assetBaseUrl: { + type: "string", + label: "Asset Base URL", + description: "Shared CDN or public folder containing presenting.png, insight.png, complete.png, rejectionA_1.png, rejectionA_2.png, and rejectionB_1.png.", + default: "/glitch/migration-paradox" + } + }, + defaultParams: { + assetBaseUrl: "/glitch/migration-paradox" + } +}; +export { + Oe as default, + Ve as metadata +}; +//# sourceMappingURL=migration-paradox.js.map diff --git a/public/glitch/glitch_migration_paradox/migration-paradox.js.map b/public/glitch/glitch_migration_paradox/migration-paradox.js.map new file mode 100644 index 0000000..9a7c8da --- /dev/null +++ b/public/glitch/glitch_migration_paradox/migration-paradox.js.map @@ -0,0 +1 @@ +{"version":3,"file":"migration-paradox.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useMemo, useState } from 'react';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\ntype Phase = 'intro' | 'choice' | 'rejection-value' | 'rejection-same' | 'awareness' | 'complete';\ntype SceneTone = 'primary' | 'danger' | 'accent' | 'success';\n\ninterface LoopState {\n loopCount: number;\n valueAttempts: number;\n sameAttempts: number;\n}\n\ninterface SceneFallback {\n badge: string;\n title: string;\n copy: string;\n detail: string;\n tone: SceneTone;\n}\n\nconst DEFAULT_ASSET_BASE = '/glitch/migration-paradox';\nconst REJECTION_A_COUNT = 2; // Number of rejectionA_X.png variants (1 to X)\nconst REJECTION_B_COUNT = 1; // Number of rejectionB_X.png variants (1 to X)\nconst SCENE_FALLBACKS: Record<'presenting' | 'rejection-value' | 'rejection-same' | 'awareness' | 'complete', SceneFallback> = {\n presenting: {\n badge: 'Migration Briefing',\n title: 'Stakeholders Await Your Plan',\n copy: 'Frame the migration as progress without triggering fear.',\n detail: 'You need a strategy that creates momentum before the paradox closes in.',\n tone: 'primary'\n },\n 'rejection-value': {\n badge: 'Stakeholder Response',\n title: 'Too Much Change',\n copy: 'Your pitch sounded valuable, but it also sounded dangerous.',\n detail: 'They want new capability only if nothing important feels different.',\n tone: 'danger'\n },\n 'rejection-same': {\n badge: 'Stakeholder Response',\n title: 'Too Little Value',\n copy: 'Your pitch sounded safe, but it also sounded pointless.',\n detail: 'They want risk contained, but they still expect the migration to matter.',\n tone: 'danger'\n },\n awareness: {\n badge: 'Pattern Detected',\n title: 'Expose The Contradiction',\n copy: 'Show how value and continuity need different phases, not one impossible promise.',\n detail: 'Explore, preserve, and then innovate.',\n tone: 'accent'\n },\n complete: {\n badge: 'Challenge Complete',\n title: 'Paradox Resolved',\n copy: 'You reframed the migration into a sequence stakeholders can accept.',\n detail: 'Value and stability can coexist when delivery is phased.',\n tone: 'success'\n }\n};\n\nfunction normalizeAssetBase(candidate: unknown): string {\n if (typeof candidate !== 'string') {\n return DEFAULT_ASSET_BASE;\n }\n\n const trimmed = candidate.trim();\n if (!trimmed) {\n return DEFAULT_ASSET_BASE;\n }\n\n return trimmed.replace(/\\/+$/, '');\n}\n\nfunction buildAssetUrl(base: string, assetName: string): string {\n return `${base}/${assetName}`;\n}\n\nfunction getRandomRejectionImage(choice: 'A' | 'B', assetBase: string): string {\n const count = choice === 'A' ? REJECTION_A_COUNT : REJECTION_B_COUNT;\n const index = Math.floor(Math.random() * count) + 1;\n return buildAssetUrl(assetBase, `rejection${choice}_${index}.png`);\n}\n\nfunction SceneMedia({\n src,\n alt,\n fallback,\n onImageError\n}: {\n src?: string;\n alt: string;\n fallback: SceneFallback;\n onImageError: (src: string) => void;\n}) {\n return (\n
\n {src ? (\n onImageError(src)}\n />\n ) : (\n \n
\n
\n {fallback.badge}\n GLITCH SIM\n
\n
\n

{fallback.copy}

\n

{fallback.title}

\n

{fallback.detail}

\n
\n
\n \n \n \n
\n
\n )}\n
\n );\n}\n\nexport default function MigrationParadox({\n config: _config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const params = _config?.params ?? {};\n const [phase, setPhase] = useState('intro');\n const [loopState, setLoopState] = useState({\n loopCount: 0,\n valueAttempts: 0,\n sameAttempts: 0\n });\n const [showInsight, setShowInsight] = useState(false);\n const [currentRejectionImage, setCurrentRejectionImage] = useState('');\n const [failedImages, setFailedImages] = useState>({});\n\n const assetBase = useMemo(\n () => normalizeAssetBase(params.assetBaseUrl ?? params.imageBaseUrl),\n [params.assetBaseUrl, params.imageBaseUrl]\n );\n\n const images = useMemo(() => ({\n presenting: buildAssetUrl(assetBase, 'presenting.png'),\n insight: buildAssetUrl(assetBase, 'insight.png'),\n complete: buildAssetUrl(assetBase, 'complete.png')\n }), [assetBase]);\n\n const cssVars = {\n '--gc-primary': theme?.primary || '#6366f1',\n '--gc-accent': theme?.accent || '#22d3ee',\n '--gc-bg': theme?.bg || '#0a0a0f',\n '--gc-bg-secondary': theme?.bgSecondary || '#12121a',\n '--gc-text': theme?.text || '#e8e8ec',\n '--gc-text-muted': theme?.textMuted || '#9999a8',\n '--gc-border': theme?.border || '#2a2a3a',\n } as React.CSSProperties;\n\n const totalAttempts = loopState.valueAttempts + loopState.sameAttempts;\n const canSeeInsight = totalAttempts >= 4;\n const getSceneImage = useCallback((src: string) => (\n failedImages[src] ? undefined : src\n ), [failedImages]);\n const handleImageError = useCallback((src: string) => {\n setFailedImages(prev => (\n prev[src] ? prev : { ...prev, [src]: true }\n ));\n }, []);\n\n const handleStart = useCallback(() => {\n setPhase('choice');\n onProgress?.(10);\n }, [onProgress]);\n\n const handleChooseValue = useCallback(() => {\n setCurrentRejectionImage(getRandomRejectionImage('A', assetBase));\n setLoopState(prev => ({\n ...prev,\n valueAttempts: prev.valueAttempts + 1,\n loopCount: prev.loopCount + (prev.sameAttempts > prev.valueAttempts ? 0.5 : 0)\n }));\n setPhase('rejection-value');\n onProgress?.(Math.min(30 + totalAttempts * 10, 80));\n }, [assetBase, totalAttempts, onProgress]);\n\n const handleChooseSame = useCallback(() => {\n setCurrentRejectionImage(getRandomRejectionImage('B', assetBase));\n setLoopState(prev => ({\n ...prev,\n sameAttempts: prev.sameAttempts + 1,\n loopCount: prev.loopCount + (prev.valueAttempts > prev.sameAttempts ? 0.5 : 0)\n }));\n setPhase('rejection-same');\n onProgress?.(Math.min(30 + totalAttempts * 10, 80));\n }, [assetBase, totalAttempts, onProgress]);\n\n const handleTryAgain = useCallback(() => {\n setPhase('choice');\n }, []);\n\n const handleSeeInsight = useCallback(() => {\n setShowInsight(true);\n setPhase('awareness');\n onProgress?.(90);\n }, [onProgress]);\n\n const handleComplete = useCallback(() => {\n setPhase('complete');\n onProgress?.(100);\n onComplete({\n success: true,\n score: 100,\n data: {\n loopsBeforeInsight: Math.floor(loopState.loopCount),\n totalAttempts,\n valueAttempts: loopState.valueAttempts,\n sameAttempts: loopState.sameAttempts\n },\n rewards: {\n paradoxes: [{\n id: 'migration-paradox',\n name: 'The Migration Paradox',\n description: 'Stakeholders simultaneously demand that a migration adds value AND changes nothing.',\n rarity: 'uncommon'\n }]\n }\n });\n }, [onComplete, onProgress, loopState, totalAttempts]);\n\n return (\n
\n {phase === 'intro' && (\n
\n \n
\n

The Migration Paradox

\n

\n You've been tasked with migrating the core system.\n Your stakeholders are waiting for your strategy.\n

\n \n
\n
\n )}\n\n {phase === 'choice' && (\n
\n \n
\n
\n

Choose Your Approach

\n {loopState.loopCount > 0 && (\n \n LOOP {Math.floor(loopState.loopCount) + 1}\n \n )}\n
\n

\n How will you pitch the migration project?\n

\n
\n \n A\n \n Emphasize Change\n \n \"The new system will add value and enable new capabilities\"\n \n \n \n \n B\n \n Emphasize No Change\n \n \"Everything will work exactly the same as before\"\n \n \n \n
\n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'rejection-value' && (\n
\n \n
\n
\n ✗ REJECTED\n

\n \"Are you insane? This will break everything!\"\n

\n

\n \"If you want to change the core system, you need to make absolutely\n sure that everything works exactly the same. We can't risk any disruption.\"\n

\n
\n \n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'rejection-same' && (\n
\n \n
\n
\n ✗ REJECTED\n

\n \"This is insane. Why would we do this?\"\n

\n

\n \"If everything is going to stay exactly the same, why would we spend\n all this time and money replacing the core system? What's the point?\"\n

\n
\n \n {canSeeInsight && !showInsight && (\n \n ✦ Wait... I see the pattern\n \n )}\n
\n
\n )}\n\n {phase === 'awareness' && (\n
\n \n
\n
\n

★ The Paradox Revealed ★

\n \n

\n You've discovered the Migration Paradox: stakeholders\n demand that you change things - to give value. But also that nothing changes, to contain risk.\n

\n

\n The solution is phased delivery. First, prove business case. Then \n prove you can preserve existing functionality. Then introduce new\n capabilities.\n

\n
\n
\"Explore\"
\n
→
\n
\"Preserve\"
\n
→
\n
\"Innovate\"
\n
→
\n
\n
\n \n
\n
\n )}\n\n {phase === 'complete' && (\n
\n \n
\n
\n

★ CHALLENGE COMPLETE ★

\n

\n You experienced {Math.floor(loopState.loopCount)} loop(s) before seeing the pattern.\n

\n
\n SCORE\n 100\n
\n
\n
\n
\n )}\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'migration-paradox',\n displayName: 'The Migration Paradox',\n version: '1.0.0',\n paramSchema: {\n assetBaseUrl: {\n type: 'string',\n label: 'Asset Base URL',\n description: 'Shared CDN or public folder containing presenting.png, insight.png, complete.png, rejectionA_1.png, rejectionA_2.png, and rejectionB_1.png.',\n default: '/glitch/migration-paradox'\n }\n },\n defaultParams: {\n assetBaseUrl: '/glitch/migration-paradox'\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult\n} from 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\ No newline at end of file diff --git a/public/glitch/glitch_onboarding/glitch.manifest.json b/public/glitch/glitch_onboarding/glitch.manifest.json new file mode 100644 index 0000000..7685d65 --- /dev/null +++ b/public/glitch/glitch_onboarding/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "onboarding", + "displayName": "Glitch University Onboarding", + "version": "1.0.0", + "folderName": "glitch_onboarding", + "packageName": "@glitch-components/onboarding", + "entry": "dist/onboarding.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "onboarding", + "narrative" + ] +} diff --git a/public/glitch/glitch_onboarding/onboarding.js b/public/glitch/glitch_onboarding/onboarding.js new file mode 100644 index 0000000..9c3499a --- /dev/null +++ b/public/glitch/glitch_onboarding/onboarding.js @@ -0,0 +1,847 @@ +(function(){"use strict";try{if(typeof document<"u"){var 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+var De; +function _r() { + if (De) return Y; + De = 1; + var A = Be, y = Symbol.for("react.element"), m = Symbol.for("react.fragment"), R = Object.prototype.hasOwnProperty, b = A.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner, C = { key: !0, ref: !0, __self: !0, __source: !0 }; + function O(T, d, S) { + var v, j = {}, p = null, I = null; + S !== void 0 && (p = "" + S), d.key !== void 0 && (p = "" + d.key), d.ref !== void 0 && (I = d.ref); + for (v in d) R.call(d, v) && !C.hasOwnProperty(v) && (j[v] = d[v]); + if (T && T.defaultProps) for (v in d = T.defaultProps, d) j[v] === void 0 && (j[v] = d[v]); + return { $$typeof: y, type: T, key: p, ref: I, props: j, _owner: b.current }; + } + return Y.Fragment = m, Y.jsx = O, Y.jsxs = O, Y; +} +var L = {}; +/** + * @license React + * react-jsx-runtime.development.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ +var Fe; +function gr() { + return Fe || (Fe = 1, process.env.NODE_ENV !== "production" && function() { + var A = Be, y = Symbol.for("react.element"), m = Symbol.for("react.portal"), R = Symbol.for("react.fragment"), b = Symbol.for("react.strict_mode"), C = Symbol.for("react.profiler"), O = Symbol.for("react.provider"), T = Symbol.for("react.context"), d = Symbol.for("react.forward_ref"), S = Symbol.for("react.suspense"), v = Symbol.for("react.suspense_list"), j = Symbol.for("react.memo"), p = Symbol.for("react.lazy"), I = Symbol.for("react.offscreen"), B = Symbol.iterator, oe = "@@iterator"; + function se(e) { + if (e === null || typeof e != "object") + return null; + var r = B && e[B] || e[oe]; + return typeof r == "function" ? r : null; + } + var k = A.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED; + function _(e) { + { + for (var r = arguments.length, t = new Array(r > 1 ? r - 1 : 0), i = 1; i < r; i++) + t[i - 1] = arguments[i]; + K("error", e, t); + } + } + function K(e, r, t) { + { + var i = k.ReactDebugCurrentFrame, c = i.getStackAddendum(); + c !== "" && (r += "%s", t = t.concat([c])); + var l = t.map(function(s) { + return String(s); + }); + l.unshift("Warning: " + r), Function.prototype.apply.call(console[e], console, l); + } + } + var E = !1, $ = !1, z = !1, X = !1, $e = !1, ce; + ce = Symbol.for("react.module.reference"); + function Me(e) { + return !!(typeof e == "string" || typeof e == "function" || e === R || e === C || $e || e === b || e === S || e === v || X || e === I || E || $ || z || typeof e == "object" && e !== null && (e.$$typeof === p || e.$$typeof === j || e.$$typeof === O || e.$$typeof === T || e.$$typeof === d || // This needs to include all possible module reference object + // types supported by any Flight configuration anywhere since + // we don't know which Flight build this will end up being used + // with. + e.$$typeof === ce || e.getModuleId !== void 0)); + } + function We(e, r, t) { + var i = e.displayName; + if (i) + return i; + var c = r.displayName || r.name || ""; + return c !== "" ? t + "(" + c + ")" : t; + } + function le(e) { + return e.displayName || "Context"; + } + function w(e) { + if (e == null) + return null; + if (typeof e.tag == "number" && _("Received an unexpected object in getComponentNameFromType(). This is likely a bug in React. Please file an issue."), typeof e == "function") + return e.displayName || e.name || null; + if (typeof e == "string") + return e; + switch (e) { + case R: + return "Fragment"; + case m: + return "Portal"; + case C: + return "Profiler"; + case b: + return "StrictMode"; + case S: + return "Suspense"; + case v: + return "SuspenseList"; + } + if (typeof e == "object") + switch (e.$$typeof) { + case T: + var r = e; + return le(r) + ".Consumer"; + case O: + var t = e; + return le(t._context) + ".Provider"; + case d: + return We(e, e.render, "ForwardRef"); + case j: + var i = e.displayName || null; + return i !== null ? i : w(e.type) || "Memo"; + case p: { + var c = e, l = c._payload, s = c._init; + try { + return w(s(l)); + } catch { + return null; + } + } + } + return null; + } + var N = Object.assign, M = 0, ue, fe, de, ve, _e, ge, he; + function me() { + } + me.__reactDisabledLog = !0; + function Ye() { + { + if (M === 0) { + ue = console.log, fe = console.info, de = console.warn, ve = console.error, _e = console.group, ge = console.groupCollapsed, he = console.groupEnd; + var e = { + configurable: !0, + enumerable: !0, + value: me, + writable: !0 + }; + Object.defineProperties(console, { + info: e, + log: e, + warn: e, + error: e, + group: e, + groupCollapsed: e, + groupEnd: e + }); + } + M++; + } + } + function Le() { + { + if (M--, M === 0) { + var e = { + configurable: !0, + enumerable: !0, + writable: !0 + }; + Object.defineProperties(console, { + log: N({}, e, { + value: ue + }), + info: N({}, e, { + value: fe + }), + warn: N({}, e, { + value: de + }), + error: N({}, e, { + value: ve + }), + group: N({}, e, { + value: _e + }), + groupCollapsed: N({}, e, { + value: ge + }), + groupEnd: N({}, e, { + value: he + }) + }); + } + M < 0 && _("disabledDepth fell below zero. 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WeakMap : Map; + V = new Ue(); + } + function pe(e, r) { + if (!e || Q) + return ""; + { + var t = V.get(e); + if (t !== void 0) + return t; + } + var i; + Q = !0; + var c = Error.prepareStackTrace; + Error.prepareStackTrace = void 0; + var l; + l = H.current, H.current = null, Ye(); + try { + if (r) { + var s = function() { + throw Error(); + }; + if (Object.defineProperty(s.prototype, "props", { + set: function() { + throw Error(); + } + }), typeof Reflect == "object" && Reflect.construct) { + try { + Reflect.construct(s, []); + } catch (h) { + i = h; + } + Reflect.construct(e, [], s); + } else { + try { + s.call(); + } catch (h) { + i = h; + } + e.call(s.prototype); + } + } else { + try { + throw Error(); + } catch (h) { + i = h; + } + e(); + } + } catch (h) { + if (h && i && typeof h.stack == "string") { + for (var o = h.stack.split(` +`), g = i.stack.split(` +`), u = o.length - 1, f = g.length - 1; u >= 1 && f >= 0 && o[u] !== g[f]; ) + f--; + for (; u >= 1 && f >= 0; u--, f--) + if (o[u] !== g[f]) { + if (u !== 1 || f !== 1) + do + if (u--, f--, f < 0 || o[u] !== g[f]) { + var x = ` +` + o[u].replace(" at new ", " at "); + return e.displayName && x.includes("") && (x = x.replace("", e.displayName)), typeof e == "function" && V.set(e, x), x; + } + while (u >= 1 && f >= 0); + break; + } + } + } finally { + Q = !1, H.current = l, Le(), Error.prepareStackTrace = c; + } + var F = e ? e.displayName || e.name : "", P = F ? U(F) : ""; + return typeof e == "function" && V.set(e, P), P; + } + function Ve(e, r, t) { + return pe(e, !1); + } + function Ge(e) { + var r = e.prototype; + return !!(r && r.isReactComponent); + } + function G(e, r, t) { + if (e == null) + return ""; + if (typeof e == "function") + return pe(e, Ge(e)); + if (typeof e == "string") + return U(e); + switch (e) { + case S: + return U("Suspense"); + case v: + return U("SuspenseList"); + } + if (typeof e == "object") + switch (e.$$typeof) { + case d: + return Ve(e.render); + case j: + return G(e.type, r, t); + case p: { + var i = e, c = i._payload, l = i._init; + try { + return G(l(c), r, t); + } catch { + } + } + } + return ""; + } + var W = Object.prototype.hasOwnProperty, xe = {}, je = k.ReactDebugCurrentFrame; + function J(e) { + if (e) { + var r = e._owner, t = G(e.type, e._source, r ? r.type : null); + je.setExtraStackFrame(t); + } else + je.setExtraStackFrame(null); + } + function Je(e, r, t, i, c) { + { + var l = Function.call.bind(W); + for (var s in e) + if (l(e, s)) { + var o = void 0; + try { + if (typeof e[s] != "function") { + var g = Error((i || "React class") + ": " + t + " type `" + s + "` is invalid; it must be a function, usually from the `prop-types` package, but received `" + typeof e[s] + "`.This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`."); + throw g.name = "Invariant Violation", g; + } + o = e[s](r, s, i, t, null, "SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED"); + } catch (u) { + o = u; + } + o && !(o instanceof Error) && (J(c), _("%s: type specification of %s `%s` is invalid; the type checker function must return `null` or an `Error` but returned a %s. 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This value must be coerced to a string before before using it here.", Ke(e)), ye(e); + } + var Te = k.ReactCurrentOwner, Xe = { + key: !0, + ref: !0, + __self: !0, + __source: !0 + }, Ee, Re; + function He(e) { + if (W.call(e, "ref")) { + var r = Object.getOwnPropertyDescriptor(e, "ref").get; + if (r && r.isReactWarning) + return !1; + } + return e.ref !== void 0; + } + function Ze(e) { + if (W.call(e, "key")) { + var r = Object.getOwnPropertyDescriptor(e, "key").get; + if (r && r.isReactWarning) + return !1; + } + return e.key !== void 0; + } + function Qe(e, r) { + typeof e.ref == "string" && Te.current; + } + function er(e, r) { + { + var t = function() { + Ee || (Ee = !0, _("%s: `key` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)", r)); + }; + t.isReactWarning = !0, Object.defineProperty(e, "key", { + get: t, + configurable: !0 + }); + } + } + function rr(e, r) { + { + var t = function() { + Re || (Re = !0, _("%s: `ref` is not a prop. Trying to access it will result in `undefined` being returned. If you need to access the same value within the child component, you should pass it as a different prop. (https://reactjs.org/link/special-props)", r)); + }; + t.isReactWarning = !0, Object.defineProperty(e, "ref", { + get: t, + configurable: !0 + }); + } + } + var tr = function(e, r, t, i, c, l, s) { + var o = { + // This tag allows us to uniquely identify this as a React Element + $$typeof: y, + // Built-in properties that belong on the element + type: e, + key: r, + ref: t, + props: s, + // Record the component responsible for creating this element. + _owner: l + }; + return o._store = {}, Object.defineProperty(o._store, "validated", { + configurable: !1, + enumerable: !1, + writable: !0, + value: !1 + }), Object.defineProperty(o, "_self", { + configurable: !1, + enumerable: !1, + writable: !1, + value: i + }), Object.defineProperty(o, "_source", { + configurable: !1, + enumerable: !1, + writable: !1, + value: c + }), Object.freeze && (Object.freeze(o.props), Object.freeze(o)), o; + }; + function nr(e, r, t, i, c) { + { + var l, s = {}, o = null, g = null; + t !== void 0 && (be(t), o = "" + t), Ze(r) && (be(r.key), o = "" + r.key), He(r) && (g = r.ref, Qe(r, c)); + for (l in r) + W.call(r, l) && !Xe.hasOwnProperty(l) && (s[l] = r[l]); + if (e && e.defaultProps) { + var u = e.defaultProps; + for (l in u) + s[l] === void 0 && (s[l] = u[l]); + } + if (o || g) { + var f = typeof e == "function" ? e.displayName || e.name || "Unknown" : e; + o && er(s, f), g && rr(s, f); + } + return tr(e, o, g, c, i, Te.current, s); + } + } + var re = k.ReactCurrentOwner, Ce = k.ReactDebugCurrentFrame; + function D(e) { + if (e) { + var r = e._owner, t = G(e.type, e._source, r ? r.type : null); + Ce.setExtraStackFrame(t); + } else + Ce.setExtraStackFrame(null); + } + var te; + te = !1; + function ne(e) { + return typeof e == "object" && e !== null && e.$$typeof === y; + } + function Oe() { + { + if (re.current) { + var e = w(re.current.type); + if (e) + return ` + +Check the render method of \`` + e + "`."; + } + return ""; + } + } + function ar(e) { + return ""; + } + var Se = {}; + function ir(e) { + { + var r = Oe(); + if (!r) { + var t = typeof e == "string" ? e : e.displayName || e.name; + t && (r = ` + +Check the top-level render call using <` + t + ">."); + } + return r; + } + } + function we(e, r) { + { + if (!e._store || e._store.validated || e.key != null) + return; + e._store.validated = !0; + var t = ir(r); + if (Se[t]) + return; + Se[t] = !0; + var i = ""; + e && e._owner && e._owner !== re.current && (i = " It was passed a child from " + w(e._owner.type) + "."), D(e), _('Each child in a list should have a unique "key" prop.%s%s See https://reactjs.org/link/warning-keys for more information.', t, i), D(null); + } + } + function ke(e, r) { + { + if (typeof e != "object") + return; + if (ee(e)) + for (var t = 0; t < e.length; t++) { + var i = e[t]; + ne(i) && we(i, r); + } + else if (ne(e)) + e._store && (e._store.validated = !0); + else if (e) { + var c = se(e); + if (typeof c == "function" && c !== e.entries) + for (var l = c.call(e), s; !(s = l.next()).done; ) + ne(s.value) && we(s.value, r); + } + } + } + function or(e) { + { + var r = e.type; + if (r == null || typeof r == "string") + return; + var t; + if (typeof r == "function") + t = r.propTypes; + else if (typeof r == "object" && (r.$$typeof === d || // Note: Memo only checks outer props here. + // Inner props are checked in the reconciler. + r.$$typeof === j)) + t = r.propTypes; + else + return; + if (t) { + var i = w(r); + Je(t, e.props, "prop", i, e); + } else if (r.PropTypes !== void 0 && !te) { + te = !0; + var c = w(r); + _("Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?", c || "Unknown"); + } + typeof r.getDefaultProps == "function" && !r.getDefaultProps.isReactClassApproved && _("getDefaultProps is only used on classic React.createClass definitions. Use a static property named `defaultProps` instead."); + } + } + function sr(e) { + { + for (var r = Object.keys(e.props), t = 0; t < r.length; t++) { + var i = r[t]; + if (i !== "children" && i !== "key") { + D(e), _("Invalid prop `%s` supplied to `React.Fragment`. React.Fragment can only have `key` and `children` props.", i), D(null); + break; + } + } + e.ref !== null && (D(e), _("Invalid attribute `ref` supplied to `React.Fragment`."), D(null)); + } + } + var Ne = {}; + function Pe(e, r, t, i, c, l) { + { + var s = Me(e); + if (!s) { + var o = ""; + (e === void 0 || typeof e == "object" && e !== null && Object.keys(e).length === 0) && (o += " You likely forgot to export your component from the file it's defined in, or you might have mixed up default and named imports."); + var g = ar(); + g ? o += g : o += Oe(); + var u; + e === null ? u = "null" : ee(e) ? u = "array" : e !== void 0 && e.$$typeof === y ? (u = "<" + (w(e.type) || "Unknown") + " />", o = " Did you accidentally export a JSX literal instead of a component?") : u = typeof e, _("React.jsx: type is invalid -- expected a string (for built-in components) or a class/function (for composite components) but got: %s.%s", u, o); + } + var f = nr(e, r, t, c, l); + if (f == null) + return f; + if (s) { + var x = r.children; + if (x !== void 0) + if (i) + if (ee(x)) { + for (var F = 0; F < x.length; F++) + ke(x[F], e); + Object.freeze && Object.freeze(x); + } else + _("React.jsx: Static children should always be an array. You are likely explicitly calling React.jsxs or React.jsxDEV. Use the Babel transform instead."); + else + ke(x, e); + } + if (W.call(r, "key")) { + var P = w(e), h = Object.keys(r).filter(function(vr) { + return vr !== "key"; + }), ae = h.length > 0 ? "{key: someKey, " + h.join(": ..., ") + ": ...}" : "{key: someKey}"; + if (!Ne[P + ae]) { + var dr = h.length > 0 ? "{" + h.join(": ..., ") + ": ...}" : "{}"; + _(`A props object containing a "key" prop is being spread into JSX: + let props = %s; + <%s {...props} /> +React keys must be passed directly to JSX without using spread: + let props = %s; + <%s key={someKey} {...props} />`, ae, P, dr, P), Ne[P + ae] = !0; + } + } + return e === R ? sr(f) : or(f), f; + } + } + function cr(e, r, t) { + return Pe(e, r, t, !0); + } + function lr(e, r, t) { + return Pe(e, r, t, !1); + } + var ur = lr, fr = cr; + L.Fragment = R, L.jsx = ur, L.jsxs = fr; + }()), L; +} +process.env.NODE_ENV === "production" ? ie.exports = _r() : ie.exports = gr(); +var a = ie.exports; +const hr = "_container_18jex_3", mr = "_grid_18jex_18", pr = "_textBlock_18jex_34", xr = "_mainText_18jex_41", jr = "_delayed_18jex_50", yr = "_sphere_18jex_63", br = "_glitching_18jex_82", Tr = "_voxelOverlay_18jex_113", Er = "_visible_18jex_122", Rr = "_voxel_18jex_113", Cr = "_rebelText_18jex_137", Or = "_enterButton_18jex_146", Sr = "_migrationContent_18jex_168", wr = "_tagline_18jex_175", kr = "_notList_18jex_183", Nr = "_notItem_18jex_190", Pr = "_isText_18jex_212", Ar = "_ruleBox_18jex_221", Ir = "_ruleTitle_18jex_231", Dr = "_ruleContent_18jex_238", Fr = "_continueButton_18jex_244", Br = "_agreementContent_18jex_265", $r = "_agreementTitle_18jex_272", Mr = "_pledgeText_18jex_280", Wr = "_signatureArea_18jex_293", Yr = "_paper_18jex_302", Lr = "_signatureMark_18jex_313", Ur = "_pencil_18jex_339", Vr = "_animating_18jex_346", Gr = "_signButton_18jex_365", Jr = "_navigationContent_18jex_390", qr = "_welcomeText_18jex_397", Kr = "_choiceButtons_18jex_405", zr = "_choiceButton_18jex_405", Xr = "_choiceTitle_18jex_434", Hr = "_choiceDesc_18jex_440", Zr = "_arrow_18jex_445", Qr = "_screenFadeIn_18jex_463", n = { + container: hr, + grid: mr, + textBlock: pr, + mainText: xr, + delayed: jr, + sphere: yr, + glitching: br, + voxelOverlay: Tr, + visible: Er, + voxel: Rr, + rebelText: Cr, + enterButton: Or, + migrationContent: Sr, + tagline: wr, + notList: kr, + notItem: Nr, + isText: Pr, + ruleBox: Ar, + ruleTitle: Ir, + ruleContent: Dr, + continueButton: Fr, + agreementContent: Br, + agreementTitle: $r, + pledgeText: Mr, + signatureArea: Wr, + paper: Yr, + signatureMark: Lr, + pencil: Ur, + animating: Vr, + signButton: Gr, + navigationContent: Jr, + welcomeText: qr, + choiceButtons: Kr, + choiceButton: zr, + choiceTitle: Xr, + choiceDesc: Hr, + arrow: Zr, + screenFadeIn: Qr +}; +function rt({ + onComplete: A, + onProgress: y, + theme: m, + className: R +}) { + const [b, C] = q("disorientation"), [O, T] = q(!1), [d, S] = q(!1), [v, j] = q(!1), p = m ? { + "--gc-primary": m.primary, + "--gc-accent": m.accent, + "--gc-bg": m.bg, + "--gc-bgSecondary": m.bgSecondary, + "--gc-text": m.text, + "--gc-textMuted": m.textMuted, + "--gc-border": m.border + } : {}; + Ae(() => { + const E = { + disorientation: 25, + migration: 50, + agreement: 75, + navigation: 100 + }; + y == null || y(E[b]); + }, [b, y]), Ae(() => { + if (b !== "disorientation") return; + const E = () => { + T(!0), setTimeout(() => T(!1), 150); + }, $ = setTimeout(E, 4e3), z = setInterval(() => { + const X = Math.random() * 3e3 + 3e3; + setTimeout(E, X); + }, 6e3); + return () => { + clearTimeout($), clearInterval(z); + }; + }, [b]); + const I = Ie(() => { + S(!0), setTimeout(() => { + j(!0), setTimeout(() => { + C("navigation"); + }, 1e3); + }, 800); + }, []), B = Ie((E) => { + A({ + success: !0, + data: { + choice: E, + agreedToTerms: !0 + }, + rewards: { + achievements: ["onboarding_complete"], + unlocks: E === "lesson" ? ["tech_tree"] : ["character_builder"] + } + }); + }, [A]), K = { + disorientation: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.textBlock, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.mainText, children: "You are standing on a smooth sphere. It looks continuous. It feels continuous." }), + /* @__PURE__ */ a.jsx("div", { className: n.sphere + (O ? ` ${n.glitching}` : ""), children: /* @__PURE__ */ a.jsx("div", { className: n.voxelOverlay + (O ? ` ${n.visible}` : ""), children: Array.from({ length: 36 }).map((E, $) => /* @__PURE__ */ a.jsx("div", { className: n.voxel, style: { + opacity: Math.random() > 0.5 ? 0.8 : 0 + } }, $)) }) }), + /* @__PURE__ */ a.jsx("p", { className: `${n.mainText} ${n.delayed}`, children: "But what if it isn't?" }), + /* @__PURE__ */ a.jsxs("p", { className: n.rebelText, children: [ + "Most people assume the universe is continuous.", + /* @__PURE__ */ a.jsx("br", {}), + "We're not most people." + ] }), + /* @__PURE__ */ a.jsx( + "button", + { + className: n.enterButton, + onClick: () => C("migration"), + children: "Enter the Glitch" + } + ) + ] }) + ] }), + migration: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.migrationContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.tagline, children: "A migration project for physics. That might fail. Or not." }), + /* @__PURE__ */ a.jsxs("ul", { className: n.notList, children: [ + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not a fringe physics forum." }), + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not an online RPG." }), + /* @__PURE__ */ a.jsx("li", { className: n.notItem, children: "This is not a lecture series in philosophy, physics and computer science." }) + ] }), + /* @__PURE__ */ a.jsx("p", { className: n.isText, children: "It's all of those things." }), + /* @__PURE__ */ a.jsxs("div", { className: n.ruleBox, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.ruleTitle, children: "RULE 1" }), + /* @__PURE__ */ a.jsxs("div", { className: n.ruleContent, children: [ + "Nothing is obvious. Show it.", + /* @__PURE__ */ a.jsx("br", {}), + "Predictions matter more than opinions." + ] }) + ] }), + /* @__PURE__ */ a.jsx( + "button", + { + className: n.continueButton, + onClick: () => C("agreement"), + children: "Continue →" + } + ) + ] }) + ] }), + agreement: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.agreementContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.agreementTitle, children: "Make your mark and sign here" }), + /* @__PURE__ */ a.jsx("div", { className: n.pledgeText, children: '"I agree to test ideas against reality"' }), + /* @__PURE__ */ a.jsxs("div", { className: n.signatureArea, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.paper, children: /* @__PURE__ */ a.jsx("span", { className: n.signatureMark + (v ? ` ${n.visible}` : ""), children: "✕" }) }), + /* @__PURE__ */ a.jsx("span", { className: n.pencil + (d ? ` ${n.animating}` : ""), children: "✏️" }) + ] }), + !v && /* @__PURE__ */ a.jsx( + "button", + { + className: n.signButton, + onClick: I, + disabled: d, + children: "Sign" + } + ) + ] }) + ] }), + navigation: () => /* @__PURE__ */ a.jsxs("div", { className: `${n.container} ${n.screenFadeIn}`, style: p, children: [ + /* @__PURE__ */ a.jsx("div", { className: n.grid }), + /* @__PURE__ */ a.jsxs("div", { className: n.navigationContent, children: [ + /* @__PURE__ */ a.jsx("p", { className: n.welcomeText, children: "Welcome to the Glitch. What would you like to do?" }), + /* @__PURE__ */ a.jsxs("div", { className: n.choiceButtons, children: [ + /* @__PURE__ */ a.jsxs( + "button", + { + className: n.choiceButton, + onClick: () => B("lesson"), + children: [ + /* @__PURE__ */ a.jsxs("div", { className: n.choiceTitle, children: [ + "Take me to the first lesson ", + /* @__PURE__ */ a.jsx("span", { className: n.arrow, children: "→" }) + ] }), + /* @__PURE__ */ a.jsx("div", { className: n.choiceDesc, children: "Opens the tech tree and begins your journey" }) + ] + } + ), + /* @__PURE__ */ a.jsxs( + "button", + { + className: n.choiceButton, + onClick: () => B("character"), + children: [ + /* @__PURE__ */ a.jsxs("div", { className: n.choiceTitle, children: [ + "Build my character first ", + /* @__PURE__ */ a.jsx("span", { className: n.arrow, children: "→" }) + ] }), + /* @__PURE__ */ a.jsx("div", { className: n.choiceDesc, children: "Customize your presence in the Glitch" }) + ] + } + ) + ] }) + ] }) + ] }) + }; + return /* @__PURE__ */ a.jsx("div", { className: R, children: K[b]() }); +} +const tt = { + name: "onboarding", + version: "1.0.0", + displayName: "Glitch University Onboarding", + description: "Multi-screen onboarding experience introducing users to the Glitch universe", + author: "Glitch.university", + paramSchema: {}, + tags: ["onboarding", "intro", "welcome"] +}; +export { + rt as OnboardingComponent, + rt as default, + tt as metadata +}; +//# sourceMappingURL=onboarding.js.map diff --git a/public/glitch/glitch_onboarding/onboarding.js.map b/public/glitch/glitch_onboarding/onboarding.js.map new file mode 100644 index 0000000..b9d5e06 --- /dev/null +++ b/public/glitch/glitch_onboarding/onboarding.js.map @@ -0,0 +1 @@ +{"version":3,"file":"onboarding.js","sources":["../node_modules/react/cjs/react-jsx-runtime.production.min.js","../node_modules/react/cjs/react-jsx-runtime.development.js","../node_modules/react/jsx-runtime.js","../src/OnboardingComponent.tsx","../src/index.tsx"],"sourcesContent":["/**\n * @license React\n * react-jsx-runtime.production.min.js\n *\n * Copyright (c) Facebook, Inc. and its affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n'use strict';var f=require(\"react\"),k=Symbol.for(\"react.element\"),l=Symbol.for(\"react.fragment\"),m=Object.prototype.hasOwnProperty,n=f.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,p={key:!0,ref:!0,__self:!0,__source:!0};\nfunction q(c,a,g){var b,d={},e=null,h=null;void 0!==g&&(e=\"\"+g);void 0!==a.key&&(e=\"\"+a.key);void 0!==a.ref&&(h=a.ref);for(b in a)m.call(a,b)&&!p.hasOwnProperty(b)&&(d[b]=a[b]);if(c&&c.defaultProps)for(b in a=c.defaultProps,a)void 0===d[b]&&(d[b]=a[b]);return{$$typeof:k,type:c,key:e,ref:h,props:d,_owner:n.current}}exports.Fragment=l;exports.jsx=q;exports.jsxs=q;\n","/**\n * @license React\n * react-jsx-runtime.development.js\n *\n * Copyright (c) Facebook, Inc. and its affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n'use strict';\n\nif (process.env.NODE_ENV !== \"production\") {\n (function() {\n'use strict';\n\nvar React = require('react');\n\n// ATTENTION\n// When adding new symbols to this file,\n// Please consider also adding to 'react-devtools-shared/src/backend/ReactSymbols'\n// The Symbol used to tag the ReactElement-like types.\nvar REACT_ELEMENT_TYPE = Symbol.for('react.element');\nvar REACT_PORTAL_TYPE = Symbol.for('react.portal');\nvar REACT_FRAGMENT_TYPE = Symbol.for('react.fragment');\nvar REACT_STRICT_MODE_TYPE = Symbol.for('react.strict_mode');\nvar REACT_PROFILER_TYPE = Symbol.for('react.profiler');\nvar REACT_PROVIDER_TYPE = Symbol.for('react.provider');\nvar REACT_CONTEXT_TYPE = Symbol.for('react.context');\nvar REACT_FORWARD_REF_TYPE = Symbol.for('react.forward_ref');\nvar REACT_SUSPENSE_TYPE = Symbol.for('react.suspense');\nvar REACT_SUSPENSE_LIST_TYPE = Symbol.for('react.suspense_list');\nvar REACT_MEMO_TYPE = Symbol.for('react.memo');\nvar REACT_LAZY_TYPE = Symbol.for('react.lazy');\nvar REACT_OFFSCREEN_TYPE = Symbol.for('react.offscreen');\nvar MAYBE_ITERATOR_SYMBOL = Symbol.iterator;\nvar FAUX_ITERATOR_SYMBOL = '@@iterator';\nfunction getIteratorFn(maybeIterable) {\n if (maybeIterable === null || typeof maybeIterable !== 'object') {\n return null;\n }\n\n var maybeIterator = MAYBE_ITERATOR_SYMBOL && maybeIterable[MAYBE_ITERATOR_SYMBOL] || maybeIterable[FAUX_ITERATOR_SYMBOL];\n\n if (typeof maybeIterator === 'function') {\n return maybeIterator;\n }\n\n return null;\n}\n\nvar ReactSharedInternals = React.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;\n\nfunction error(format) {\n {\n {\n for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {\n args[_key2 - 1] = arguments[_key2];\n }\n\n printWarning('error', format, args);\n }\n }\n}\n\nfunction printWarning(level, format, args) {\n // When changing this logic, you might want to also\n // update consoleWithStackDev.www.js as well.\n {\n var ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame;\n var stack = ReactDebugCurrentFrame.getStackAddendum();\n\n if (stack !== '') {\n format += '%s';\n args = args.concat([stack]);\n } // eslint-disable-next-line react-internal/safe-string-coercion\n\n\n var argsWithFormat = args.map(function (item) {\n return String(item);\n }); // Careful: RN currently depends on this prefix\n\n argsWithFormat.unshift('Warning: ' + format); // We intentionally don't use spread (or .apply) directly because it\n // breaks IE9: https://github.com/facebook/react/issues/13610\n // eslint-disable-next-line react-internal/no-production-logging\n\n Function.prototype.apply.call(console[level], console, argsWithFormat);\n }\n}\n\n// -----------------------------------------------------------------------------\n\nvar enableScopeAPI = false; // Experimental Create Event Handle API.\nvar enableCacheElement = false;\nvar enableTransitionTracing = false; // No known bugs, but needs performance testing\n\nvar enableLegacyHidden = false; // Enables unstable_avoidThisFallback feature in Fiber\n// stuff. Intended to enable React core members to more easily debug scheduling\n// issues in DEV builds.\n\nvar enableDebugTracing = false; // Track which Fiber(s) schedule render work.\n\nvar REACT_MODULE_REFERENCE;\n\n{\n REACT_MODULE_REFERENCE = Symbol.for('react.module.reference');\n}\n\nfunction isValidElementType(type) {\n if (typeof type === 'string' || typeof type === 'function') {\n return true;\n } // Note: typeof might be other than 'symbol' or 'number' (e.g. if it's a polyfill).\n\n\n if (type === REACT_FRAGMENT_TYPE || type === REACT_PROFILER_TYPE || enableDebugTracing || type === REACT_STRICT_MODE_TYPE || type === REACT_SUSPENSE_TYPE || type === REACT_SUSPENSE_LIST_TYPE || enableLegacyHidden || type === REACT_OFFSCREEN_TYPE || enableScopeAPI || enableCacheElement || enableTransitionTracing ) {\n return true;\n }\n\n if (typeof type === 'object' && type !== null) {\n if (type.$$typeof === REACT_LAZY_TYPE || type.$$typeof === REACT_MEMO_TYPE || type.$$typeof === REACT_PROVIDER_TYPE || type.$$typeof === REACT_CONTEXT_TYPE || type.$$typeof === REACT_FORWARD_REF_TYPE || // This needs to include all possible module reference object\n // types supported by any Flight configuration anywhere since\n // we don't know which Flight build this will end up being used\n // with.\n type.$$typeof === REACT_MODULE_REFERENCE || type.getModuleId !== undefined) {\n return true;\n }\n }\n\n return false;\n}\n\nfunction getWrappedName(outerType, innerType, wrapperName) {\n var displayName = outerType.displayName;\n\n if (displayName) {\n return displayName;\n }\n\n var functionName = innerType.displayName || innerType.name || '';\n return functionName !== '' ? wrapperName + \"(\" + functionName + \")\" : wrapperName;\n} // Keep in sync with react-reconciler/getComponentNameFromFiber\n\n\nfunction getContextName(type) {\n return type.displayName || 'Context';\n} // Note that the reconciler package should generally prefer to use getComponentNameFromFiber() instead.\n\n\nfunction getComponentNameFromType(type) {\n if (type == null) {\n // Host root, text node or just invalid type.\n return null;\n }\n\n {\n if (typeof type.tag === 'number') {\n error('Received an unexpected object in getComponentNameFromType(). ' + 'This is likely a bug in React. Please file an issue.');\n }\n }\n\n if (typeof type === 'function') {\n return type.displayName || type.name || null;\n }\n\n if (typeof type === 'string') {\n return type;\n }\n\n switch (type) {\n case REACT_FRAGMENT_TYPE:\n return 'Fragment';\n\n case REACT_PORTAL_TYPE:\n return 'Portal';\n\n case REACT_PROFILER_TYPE:\n return 'Profiler';\n\n case REACT_STRICT_MODE_TYPE:\n return 'StrictMode';\n\n case REACT_SUSPENSE_TYPE:\n return 'Suspense';\n\n case REACT_SUSPENSE_LIST_TYPE:\n return 'SuspenseList';\n\n }\n\n if (typeof type === 'object') {\n switch (type.$$typeof) {\n case REACT_CONTEXT_TYPE:\n var context = type;\n return getContextName(context) + '.Consumer';\n\n case REACT_PROVIDER_TYPE:\n var provider = type;\n return getContextName(provider._context) + '.Provider';\n\n case REACT_FORWARD_REF_TYPE:\n return getWrappedName(type, type.render, 'ForwardRef');\n\n case REACT_MEMO_TYPE:\n var outerName = type.displayName || null;\n\n if (outerName !== null) {\n return outerName;\n }\n\n return getComponentNameFromType(type.type) || 'Memo';\n\n case REACT_LAZY_TYPE:\n {\n var lazyComponent = type;\n var payload = lazyComponent._payload;\n var init = lazyComponent._init;\n\n try {\n return getComponentNameFromType(init(payload));\n } catch (x) {\n return null;\n }\n }\n\n // eslint-disable-next-line no-fallthrough\n }\n }\n\n return null;\n}\n\nvar assign = Object.assign;\n\n// Helpers to patch console.logs to avoid logging during side-effect free\n// replaying on render function. This currently only patches the object\n// lazily which won't cover if the log function was extracted eagerly.\n// We could also eagerly patch the method.\nvar disabledDepth = 0;\nvar prevLog;\nvar prevInfo;\nvar prevWarn;\nvar prevError;\nvar prevGroup;\nvar prevGroupCollapsed;\nvar prevGroupEnd;\n\nfunction disabledLog() {}\n\ndisabledLog.__reactDisabledLog = true;\nfunction disableLogs() {\n {\n if (disabledDepth === 0) {\n /* eslint-disable react-internal/no-production-logging */\n prevLog = console.log;\n prevInfo = console.info;\n prevWarn = console.warn;\n prevError = console.error;\n prevGroup = console.group;\n prevGroupCollapsed = console.groupCollapsed;\n prevGroupEnd = console.groupEnd; // https://github.com/facebook/react/issues/19099\n\n var props = {\n configurable: true,\n enumerable: true,\n value: disabledLog,\n writable: true\n }; // $FlowFixMe Flow thinks console is immutable.\n\n Object.defineProperties(console, {\n info: props,\n log: props,\n warn: props,\n error: props,\n group: props,\n groupCollapsed: props,\n groupEnd: props\n });\n /* eslint-enable react-internal/no-production-logging */\n }\n\n disabledDepth++;\n }\n}\nfunction reenableLogs() {\n {\n disabledDepth--;\n\n if (disabledDepth === 0) {\n /* eslint-disable react-internal/no-production-logging */\n var props = {\n configurable: true,\n enumerable: true,\n writable: true\n }; // $FlowFixMe Flow thinks console is immutable.\n\n Object.defineProperties(console, {\n log: assign({}, props, {\n value: prevLog\n }),\n info: assign({}, props, {\n value: prevInfo\n }),\n warn: assign({}, props, {\n value: prevWarn\n }),\n error: assign({}, props, {\n value: prevError\n }),\n group: assign({}, props, {\n value: prevGroup\n }),\n groupCollapsed: assign({}, props, {\n value: prevGroupCollapsed\n }),\n groupEnd: assign({}, props, {\n value: prevGroupEnd\n })\n });\n /* eslint-enable react-internal/no-production-logging */\n }\n\n if (disabledDepth < 0) {\n error('disabledDepth fell below zero. ' + 'This is a bug in React. Please file an issue.');\n }\n }\n}\n\nvar ReactCurrentDispatcher = ReactSharedInternals.ReactCurrentDispatcher;\nvar prefix;\nfunction describeBuiltInComponentFrame(name, source, ownerFn) {\n {\n if (prefix === undefined) {\n // Extract the VM specific prefix used by each line.\n try {\n throw Error();\n } catch (x) {\n var match = x.stack.trim().match(/\\n( *(at )?)/);\n prefix = match && match[1] || '';\n }\n } // We use the prefix to ensure our stacks line up with native stack frames.\n\n\n return '\\n' + prefix + name;\n }\n}\nvar reentry = false;\nvar componentFrameCache;\n\n{\n var PossiblyWeakMap = typeof WeakMap === 'function' ? WeakMap : Map;\n componentFrameCache = new PossiblyWeakMap();\n}\n\nfunction describeNativeComponentFrame(fn, construct) {\n // If something asked for a stack inside a fake render, it should get ignored.\n if ( !fn || reentry) {\n return '';\n }\n\n {\n var frame = componentFrameCache.get(fn);\n\n if (frame !== undefined) {\n return frame;\n }\n }\n\n var control;\n reentry = true;\n var previousPrepareStackTrace = Error.prepareStackTrace; // $FlowFixMe It does accept undefined.\n\n Error.prepareStackTrace = undefined;\n var previousDispatcher;\n\n {\n previousDispatcher = ReactCurrentDispatcher.current; // Set the dispatcher in DEV because this might be call in the render function\n // for warnings.\n\n ReactCurrentDispatcher.current = null;\n disableLogs();\n }\n\n try {\n // This should throw.\n if (construct) {\n // Something should be setting the props in the constructor.\n var Fake = function () {\n throw Error();\n }; // $FlowFixMe\n\n\n Object.defineProperty(Fake.prototype, 'props', {\n set: function () {\n // We use a throwing setter instead of frozen or non-writable props\n // because that won't throw in a non-strict mode function.\n throw Error();\n }\n });\n\n if (typeof Reflect === 'object' && Reflect.construct) {\n // We construct a different control for this case to include any extra\n // frames added by the construct call.\n try {\n Reflect.construct(Fake, []);\n } catch (x) {\n control = x;\n }\n\n Reflect.construct(fn, [], Fake);\n } else {\n try {\n Fake.call();\n } catch (x) {\n control = x;\n }\n\n fn.call(Fake.prototype);\n }\n } else {\n try {\n throw Error();\n } catch (x) {\n control = x;\n }\n\n fn();\n }\n } catch (sample) {\n // This is inlined manually because closure doesn't do it for us.\n if (sample && control && typeof sample.stack === 'string') {\n // This extracts the first frame from the sample that isn't also in the control.\n // Skipping one frame that we assume is the frame that calls the two.\n var sampleLines = sample.stack.split('\\n');\n var controlLines = control.stack.split('\\n');\n var s = sampleLines.length - 1;\n var c = controlLines.length - 1;\n\n while (s >= 1 && c >= 0 && sampleLines[s] !== controlLines[c]) {\n // We expect at least one stack frame to be shared.\n // Typically this will be the root most one. However, stack frames may be\n // cut off due to maximum stack limits. In this case, one maybe cut off\n // earlier than the other. We assume that the sample is longer or the same\n // and there for cut off earlier. So we should find the root most frame in\n // the sample somewhere in the control.\n c--;\n }\n\n for (; s >= 1 && c >= 0; s--, c--) {\n // Next we find the first one that isn't the same which should be the\n // frame that called our sample function and the control.\n if (sampleLines[s] !== controlLines[c]) {\n // In V8, the first line is describing the message but other VMs don't.\n // If we're about to return the first line, and the control is also on the same\n // line, that's a pretty good indicator that our sample threw at same line as\n // the control. I.e. before we entered the sample frame. So we ignore this result.\n // This can happen if you passed a class to function component, or non-function.\n if (s !== 1 || c !== 1) {\n do {\n s--;\n c--; // We may still have similar intermediate frames from the construct call.\n // The next one that isn't the same should be our match though.\n\n if (c < 0 || sampleLines[s] !== controlLines[c]) {\n // V8 adds a \"new\" prefix for native classes. Let's remove it to make it prettier.\n var _frame = '\\n' + sampleLines[s].replace(' at new ', ' at '); // If our component frame is labeled \"\"\n // but we have a user-provided \"displayName\"\n // splice it in to make the stack more readable.\n\n\n if (fn.displayName && _frame.includes('')) {\n _frame = _frame.replace('', fn.displayName);\n }\n\n {\n if (typeof fn === 'function') {\n componentFrameCache.set(fn, _frame);\n }\n } // Return the line we found.\n\n\n return _frame;\n }\n } while (s >= 1 && c >= 0);\n }\n\n break;\n }\n }\n }\n } finally {\n reentry = false;\n\n {\n ReactCurrentDispatcher.current = previousDispatcher;\n reenableLogs();\n }\n\n Error.prepareStackTrace = previousPrepareStackTrace;\n } // Fallback to just using the name if we couldn't make it throw.\n\n\n var name = fn ? fn.displayName || fn.name : '';\n var syntheticFrame = name ? describeBuiltInComponentFrame(name) : '';\n\n {\n if (typeof fn === 'function') {\n componentFrameCache.set(fn, syntheticFrame);\n }\n }\n\n return syntheticFrame;\n}\nfunction describeFunctionComponentFrame(fn, source, ownerFn) {\n {\n return describeNativeComponentFrame(fn, false);\n }\n}\n\nfunction shouldConstruct(Component) {\n var prototype = Component.prototype;\n return !!(prototype && prototype.isReactComponent);\n}\n\nfunction describeUnknownElementTypeFrameInDEV(type, source, ownerFn) {\n\n if (type == null) {\n return '';\n }\n\n if (typeof type === 'function') {\n {\n return describeNativeComponentFrame(type, shouldConstruct(type));\n }\n }\n\n if (typeof type === 'string') {\n return describeBuiltInComponentFrame(type);\n }\n\n switch (type) {\n case REACT_SUSPENSE_TYPE:\n return describeBuiltInComponentFrame('Suspense');\n\n case REACT_SUSPENSE_LIST_TYPE:\n return describeBuiltInComponentFrame('SuspenseList');\n }\n\n if (typeof type === 'object') {\n switch (type.$$typeof) {\n case REACT_FORWARD_REF_TYPE:\n return describeFunctionComponentFrame(type.render);\n\n case REACT_MEMO_TYPE:\n // Memo may contain any component type so we recursively resolve it.\n return describeUnknownElementTypeFrameInDEV(type.type, source, ownerFn);\n\n case REACT_LAZY_TYPE:\n {\n var lazyComponent = type;\n var payload = lazyComponent._payload;\n var init = lazyComponent._init;\n\n try {\n // Lazy may contain any component type so we recursively resolve it.\n return describeUnknownElementTypeFrameInDEV(init(payload), source, ownerFn);\n } catch (x) {}\n }\n }\n }\n\n return '';\n}\n\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\n\nvar loggedTypeFailures = {};\nvar ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame;\n\nfunction setCurrentlyValidatingElement(element) {\n {\n if (element) {\n var owner = element._owner;\n var stack = describeUnknownElementTypeFrameInDEV(element.type, element._source, owner ? owner.type : null);\n ReactDebugCurrentFrame.setExtraStackFrame(stack);\n } else {\n ReactDebugCurrentFrame.setExtraStackFrame(null);\n }\n }\n}\n\nfunction checkPropTypes(typeSpecs, values, location, componentName, element) {\n {\n // $FlowFixMe This is okay but Flow doesn't know it.\n var has = Function.call.bind(hasOwnProperty);\n\n for (var typeSpecName in typeSpecs) {\n if (has(typeSpecs, typeSpecName)) {\n var error$1 = void 0; // Prop type validation may throw. In case they do, we don't want to\n // fail the render phase where it didn't fail before. So we log it.\n // After these have been cleaned up, we'll let them throw.\n\n try {\n // This is intentionally an invariant that gets caught. It's the same\n // behavior as without this statement except with a better message.\n if (typeof typeSpecs[typeSpecName] !== 'function') {\n // eslint-disable-next-line react-internal/prod-error-codes\n var err = Error((componentName || 'React class') + ': ' + location + ' type `' + typeSpecName + '` is invalid; ' + 'it must be a function, usually from the `prop-types` package, but received `' + typeof typeSpecs[typeSpecName] + '`.' + 'This often happens because of typos such as `PropTypes.function` instead of `PropTypes.func`.');\n err.name = 'Invariant Violation';\n throw err;\n }\n\n error$1 = typeSpecs[typeSpecName](values, typeSpecName, componentName, location, null, 'SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED');\n } catch (ex) {\n error$1 = ex;\n }\n\n if (error$1 && !(error$1 instanceof Error)) {\n setCurrentlyValidatingElement(element);\n\n error('%s: type specification of %s' + ' `%s` is invalid; the type checker ' + 'function must return `null` or an `Error` but returned a %s. ' + 'You may have forgotten to pass an argument to the type checker ' + 'creator (arrayOf, instanceOf, objectOf, oneOf, oneOfType, and ' + 'shape all require an argument).', componentName || 'React class', location, typeSpecName, typeof error$1);\n\n setCurrentlyValidatingElement(null);\n }\n\n if (error$1 instanceof Error && !(error$1.message in loggedTypeFailures)) {\n // Only monitor this failure once because there tends to be a lot of the\n // same error.\n loggedTypeFailures[error$1.message] = true;\n setCurrentlyValidatingElement(element);\n\n error('Failed %s type: %s', location, error$1.message);\n\n setCurrentlyValidatingElement(null);\n }\n }\n }\n }\n}\n\nvar isArrayImpl = Array.isArray; // eslint-disable-next-line no-redeclare\n\nfunction isArray(a) {\n return isArrayImpl(a);\n}\n\n/*\n * The `'' + value` pattern (used in in perf-sensitive code) throws for Symbol\n * and Temporal.* types. See https://github.com/facebook/react/pull/22064.\n *\n * The functions in this module will throw an easier-to-understand,\n * easier-to-debug exception with a clear errors message message explaining the\n * problem. (Instead of a confusing exception thrown inside the implementation\n * of the `value` object).\n */\n// $FlowFixMe only called in DEV, so void return is not possible.\nfunction typeName(value) {\n {\n // toStringTag is needed for namespaced types like Temporal.Instant\n var hasToStringTag = typeof Symbol === 'function' && Symbol.toStringTag;\n var type = hasToStringTag && value[Symbol.toStringTag] || value.constructor.name || 'Object';\n return type;\n }\n} // $FlowFixMe only called in DEV, so void return is not possible.\n\n\nfunction willCoercionThrow(value) {\n {\n try {\n testStringCoercion(value);\n return false;\n } catch (e) {\n return true;\n }\n }\n}\n\nfunction testStringCoercion(value) {\n // If you ended up here by following an exception call stack, here's what's\n // happened: you supplied an object or symbol value to React (as a prop, key,\n // DOM attribute, CSS property, string ref, etc.) and when React tried to\n // coerce it to a string using `'' + value`, an exception was thrown.\n //\n // The most common types that will cause this exception are `Symbol` instances\n // and Temporal objects like `Temporal.Instant`. But any object that has a\n // `valueOf` or `[Symbol.toPrimitive]` method that throws will also cause this\n // exception. (Library authors do this to prevent users from using built-in\n // numeric operators like `+` or comparison operators like `>=` because custom\n // methods are needed to perform accurate arithmetic or comparison.)\n //\n // To fix the problem, coerce this object or symbol value to a string before\n // passing it to React. The most reliable way is usually `String(value)`.\n //\n // To find which value is throwing, check the browser or debugger console.\n // Before this exception was thrown, there should be `console.error` output\n // that shows the type (Symbol, Temporal.PlainDate, etc.) that caused the\n // problem and how that type was used: key, atrribute, input value prop, etc.\n // In most cases, this console output also shows the component and its\n // ancestor components where the exception happened.\n //\n // eslint-disable-next-line react-internal/safe-string-coercion\n return '' + value;\n}\nfunction checkKeyStringCoercion(value) {\n {\n if (willCoercionThrow(value)) {\n error('The provided key is an unsupported type %s.' + ' This value must be coerced to a string before before using it here.', typeName(value));\n\n return testStringCoercion(value); // throw (to help callers find troubleshooting comments)\n }\n }\n}\n\nvar ReactCurrentOwner = ReactSharedInternals.ReactCurrentOwner;\nvar RESERVED_PROPS = {\n key: true,\n ref: true,\n __self: true,\n __source: true\n};\nvar specialPropKeyWarningShown;\nvar specialPropRefWarningShown;\nvar didWarnAboutStringRefs;\n\n{\n didWarnAboutStringRefs = {};\n}\n\nfunction hasValidRef(config) {\n {\n if (hasOwnProperty.call(config, 'ref')) {\n var getter = Object.getOwnPropertyDescriptor(config, 'ref').get;\n\n if (getter && getter.isReactWarning) {\n return false;\n }\n }\n }\n\n return config.ref !== undefined;\n}\n\nfunction hasValidKey(config) {\n {\n if (hasOwnProperty.call(config, 'key')) {\n var getter = Object.getOwnPropertyDescriptor(config, 'key').get;\n\n if (getter && getter.isReactWarning) {\n return false;\n }\n }\n }\n\n return config.key !== undefined;\n}\n\nfunction warnIfStringRefCannotBeAutoConverted(config, self) {\n {\n if (typeof config.ref === 'string' && ReactCurrentOwner.current && self && ReactCurrentOwner.current.stateNode !== self) {\n var componentName = getComponentNameFromType(ReactCurrentOwner.current.type);\n\n if (!didWarnAboutStringRefs[componentName]) {\n error('Component \"%s\" contains the string ref \"%s\". ' + 'Support for string refs will be removed in a future major release. ' + 'This case cannot be automatically converted to an arrow function. ' + 'We ask you to manually fix this case by using useRef() or createRef() instead. ' + 'Learn more about using refs safely here: ' + 'https://reactjs.org/link/strict-mode-string-ref', getComponentNameFromType(ReactCurrentOwner.current.type), config.ref);\n\n didWarnAboutStringRefs[componentName] = true;\n }\n }\n }\n}\n\nfunction defineKeyPropWarningGetter(props, displayName) {\n {\n var warnAboutAccessingKey = function () {\n if (!specialPropKeyWarningShown) {\n specialPropKeyWarningShown = true;\n\n error('%s: `key` is not a prop. Trying to access it will result ' + 'in `undefined` being returned. If you need to access the same ' + 'value within the child component, you should pass it as a different ' + 'prop. (https://reactjs.org/link/special-props)', displayName);\n }\n };\n\n warnAboutAccessingKey.isReactWarning = true;\n Object.defineProperty(props, 'key', {\n get: warnAboutAccessingKey,\n configurable: true\n });\n }\n}\n\nfunction defineRefPropWarningGetter(props, displayName) {\n {\n var warnAboutAccessingRef = function () {\n if (!specialPropRefWarningShown) {\n specialPropRefWarningShown = true;\n\n error('%s: `ref` is not a prop. Trying to access it will result ' + 'in `undefined` being returned. If you need to access the same ' + 'value within the child component, you should pass it as a different ' + 'prop. (https://reactjs.org/link/special-props)', displayName);\n }\n };\n\n warnAboutAccessingRef.isReactWarning = true;\n Object.defineProperty(props, 'ref', {\n get: warnAboutAccessingRef,\n configurable: true\n });\n }\n}\n/**\n * Factory method to create a new React element. This no longer adheres to\n * the class pattern, so do not use new to call it. Also, instanceof check\n * will not work. Instead test $$typeof field against Symbol.for('react.element') to check\n * if something is a React Element.\n *\n * @param {*} type\n * @param {*} props\n * @param {*} key\n * @param {string|object} ref\n * @param {*} owner\n * @param {*} self A *temporary* helper to detect places where `this` is\n * different from the `owner` when React.createElement is called, so that we\n * can warn. We want to get rid of owner and replace string `ref`s with arrow\n * functions, and as long as `this` and owner are the same, there will be no\n * change in behavior.\n * @param {*} source An annotation object (added by a transpiler or otherwise)\n * indicating filename, line number, and/or other information.\n * @internal\n */\n\n\nvar ReactElement = function (type, key, ref, self, source, owner, props) {\n var element = {\n // This tag allows us to uniquely identify this as a React Element\n $$typeof: REACT_ELEMENT_TYPE,\n // Built-in properties that belong on the element\n type: type,\n key: key,\n ref: ref,\n props: props,\n // Record the component responsible for creating this element.\n _owner: owner\n };\n\n {\n // The validation flag is currently mutative. We put it on\n // an external backing store so that we can freeze the whole object.\n // This can be replaced with a WeakMap once they are implemented in\n // commonly used development environments.\n element._store = {}; // To make comparing ReactElements easier for testing purposes, we make\n // the validation flag non-enumerable (where possible, which should\n // include every environment we run tests in), so the test framework\n // ignores it.\n\n Object.defineProperty(element._store, 'validated', {\n configurable: false,\n enumerable: false,\n writable: true,\n value: false\n }); // self and source are DEV only properties.\n\n Object.defineProperty(element, '_self', {\n configurable: false,\n enumerable: false,\n writable: false,\n value: self\n }); // Two elements created in two different places should be considered\n // equal for testing purposes and therefore we hide it from enumeration.\n\n Object.defineProperty(element, '_source', {\n configurable: false,\n enumerable: false,\n writable: false,\n value: source\n });\n\n if (Object.freeze) {\n Object.freeze(element.props);\n Object.freeze(element);\n }\n }\n\n return element;\n};\n/**\n * https://github.com/reactjs/rfcs/pull/107\n * @param {*} type\n * @param {object} props\n * @param {string} key\n */\n\nfunction jsxDEV(type, config, maybeKey, source, self) {\n {\n var propName; // Reserved names are extracted\n\n var props = {};\n var key = null;\n var ref = null; // Currently, key can be spread in as a prop. This causes a potential\n // issue if key is also explicitly declared (ie.
\n // or
). We want to deprecate key spread,\n // but as an intermediary step, we will use jsxDEV for everything except\n //
, because we aren't currently able to tell if\n // key is explicitly declared to be undefined or not.\n\n if (maybeKey !== undefined) {\n {\n checkKeyStringCoercion(maybeKey);\n }\n\n key = '' + maybeKey;\n }\n\n if (hasValidKey(config)) {\n {\n checkKeyStringCoercion(config.key);\n }\n\n key = '' + config.key;\n }\n\n if (hasValidRef(config)) {\n ref = config.ref;\n warnIfStringRefCannotBeAutoConverted(config, self);\n } // Remaining properties are added to a new props object\n\n\n for (propName in config) {\n if (hasOwnProperty.call(config, propName) && !RESERVED_PROPS.hasOwnProperty(propName)) {\n props[propName] = config[propName];\n }\n } // Resolve default props\n\n\n if (type && type.defaultProps) {\n var defaultProps = type.defaultProps;\n\n for (propName in defaultProps) {\n if (props[propName] === undefined) {\n props[propName] = defaultProps[propName];\n }\n }\n }\n\n if (key || ref) {\n var displayName = typeof type === 'function' ? type.displayName || type.name || 'Unknown' : type;\n\n if (key) {\n defineKeyPropWarningGetter(props, displayName);\n }\n\n if (ref) {\n defineRefPropWarningGetter(props, displayName);\n }\n }\n\n return ReactElement(type, key, ref, self, source, ReactCurrentOwner.current, props);\n }\n}\n\nvar ReactCurrentOwner$1 = ReactSharedInternals.ReactCurrentOwner;\nvar ReactDebugCurrentFrame$1 = ReactSharedInternals.ReactDebugCurrentFrame;\n\nfunction setCurrentlyValidatingElement$1(element) {\n {\n if (element) {\n var owner = element._owner;\n var stack = describeUnknownElementTypeFrameInDEV(element.type, element._source, owner ? owner.type : null);\n ReactDebugCurrentFrame$1.setExtraStackFrame(stack);\n } else {\n ReactDebugCurrentFrame$1.setExtraStackFrame(null);\n }\n }\n}\n\nvar propTypesMisspellWarningShown;\n\n{\n propTypesMisspellWarningShown = false;\n}\n/**\n * Verifies the object is a ReactElement.\n * See https://reactjs.org/docs/react-api.html#isvalidelement\n * @param {?object} object\n * @return {boolean} True if `object` is a ReactElement.\n * @final\n */\n\n\nfunction isValidElement(object) {\n {\n return typeof object === 'object' && object !== null && object.$$typeof === REACT_ELEMENT_TYPE;\n }\n}\n\nfunction getDeclarationErrorAddendum() {\n {\n if (ReactCurrentOwner$1.current) {\n var name = getComponentNameFromType(ReactCurrentOwner$1.current.type);\n\n if (name) {\n return '\\n\\nCheck the render method of `' + name + '`.';\n }\n }\n\n return '';\n }\n}\n\nfunction getSourceInfoErrorAddendum(source) {\n {\n if (source !== undefined) {\n var fileName = source.fileName.replace(/^.*[\\\\\\/]/, '');\n var lineNumber = source.lineNumber;\n return '\\n\\nCheck your code at ' + fileName + ':' + lineNumber + '.';\n }\n\n return '';\n }\n}\n/**\n * Warn if there's no key explicitly set on dynamic arrays of children or\n * object keys are not valid. This allows us to keep track of children between\n * updates.\n */\n\n\nvar ownerHasKeyUseWarning = {};\n\nfunction getCurrentComponentErrorInfo(parentType) {\n {\n var info = getDeclarationErrorAddendum();\n\n if (!info) {\n var parentName = typeof parentType === 'string' ? parentType : parentType.displayName || parentType.name;\n\n if (parentName) {\n info = \"\\n\\nCheck the top-level render call using <\" + parentName + \">.\";\n }\n }\n\n return info;\n }\n}\n/**\n * Warn if the element doesn't have an explicit key assigned to it.\n * This element is in an array. The array could grow and shrink or be\n * reordered. All children that haven't already been validated are required to\n * have a \"key\" property assigned to it. Error statuses are cached so a warning\n * will only be shown once.\n *\n * @internal\n * @param {ReactElement} element Element that requires a key.\n * @param {*} parentType element's parent's type.\n */\n\n\nfunction validateExplicitKey(element, parentType) {\n {\n if (!element._store || element._store.validated || element.key != null) {\n return;\n }\n\n element._store.validated = true;\n var currentComponentErrorInfo = getCurrentComponentErrorInfo(parentType);\n\n if (ownerHasKeyUseWarning[currentComponentErrorInfo]) {\n return;\n }\n\n ownerHasKeyUseWarning[currentComponentErrorInfo] = true; // Usually the current owner is the offender, but if it accepts children as a\n // property, it may be the creator of the child that's responsible for\n // assigning it a key.\n\n var childOwner = '';\n\n if (element && element._owner && element._owner !== ReactCurrentOwner$1.current) {\n // Give the component that originally created this child.\n childOwner = \" It was passed a child from \" + getComponentNameFromType(element._owner.type) + \".\";\n }\n\n setCurrentlyValidatingElement$1(element);\n\n error('Each child in a list should have a unique \"key\" prop.' + '%s%s See https://reactjs.org/link/warning-keys for more information.', currentComponentErrorInfo, childOwner);\n\n setCurrentlyValidatingElement$1(null);\n }\n}\n/**\n * Ensure that every element either is passed in a static location, in an\n * array with an explicit keys property defined, or in an object literal\n * with valid key property.\n *\n * @internal\n * @param {ReactNode} node Statically passed child of any type.\n * @param {*} parentType node's parent's type.\n */\n\n\nfunction validateChildKeys(node, parentType) {\n {\n if (typeof node !== 'object') {\n return;\n }\n\n if (isArray(node)) {\n for (var i = 0; i < node.length; i++) {\n var child = node[i];\n\n if (isValidElement(child)) {\n validateExplicitKey(child, parentType);\n }\n }\n } else if (isValidElement(node)) {\n // This element was passed in a valid location.\n if (node._store) {\n node._store.validated = true;\n }\n } else if (node) {\n var iteratorFn = getIteratorFn(node);\n\n if (typeof iteratorFn === 'function') {\n // Entry iterators used to provide implicit keys,\n // but now we print a separate warning for them later.\n if (iteratorFn !== node.entries) {\n var iterator = iteratorFn.call(node);\n var step;\n\n while (!(step = iterator.next()).done) {\n if (isValidElement(step.value)) {\n validateExplicitKey(step.value, parentType);\n }\n }\n }\n }\n }\n }\n}\n/**\n * Given an element, validate that its props follow the propTypes definition,\n * provided by the type.\n *\n * @param {ReactElement} element\n */\n\n\nfunction validatePropTypes(element) {\n {\n var type = element.type;\n\n if (type === null || type === undefined || typeof type === 'string') {\n return;\n }\n\n var propTypes;\n\n if (typeof type === 'function') {\n propTypes = type.propTypes;\n } else if (typeof type === 'object' && (type.$$typeof === REACT_FORWARD_REF_TYPE || // Note: Memo only checks outer props here.\n // Inner props are checked in the reconciler.\n type.$$typeof === REACT_MEMO_TYPE)) {\n propTypes = type.propTypes;\n } else {\n return;\n }\n\n if (propTypes) {\n // Intentionally inside to avoid triggering lazy initializers:\n var name = getComponentNameFromType(type);\n checkPropTypes(propTypes, element.props, 'prop', name, element);\n } else if (type.PropTypes !== undefined && !propTypesMisspellWarningShown) {\n propTypesMisspellWarningShown = true; // Intentionally inside to avoid triggering lazy initializers:\n\n var _name = getComponentNameFromType(type);\n\n error('Component %s declared `PropTypes` instead of `propTypes`. Did you misspell the property assignment?', _name || 'Unknown');\n }\n\n if (typeof type.getDefaultProps === 'function' && !type.getDefaultProps.isReactClassApproved) {\n error('getDefaultProps is only used on classic React.createClass ' + 'definitions. Use a static property named `defaultProps` instead.');\n }\n }\n}\n/**\n * Given a fragment, validate that it can only be provided with fragment props\n * @param {ReactElement} fragment\n */\n\n\nfunction validateFragmentProps(fragment) {\n {\n var keys = Object.keys(fragment.props);\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i];\n\n if (key !== 'children' && key !== 'key') {\n setCurrentlyValidatingElement$1(fragment);\n\n error('Invalid prop `%s` supplied to `React.Fragment`. ' + 'React.Fragment can only have `key` and `children` props.', key);\n\n setCurrentlyValidatingElement$1(null);\n break;\n }\n }\n\n if (fragment.ref !== null) {\n setCurrentlyValidatingElement$1(fragment);\n\n error('Invalid attribute `ref` supplied to `React.Fragment`.');\n\n setCurrentlyValidatingElement$1(null);\n }\n }\n}\n\nvar didWarnAboutKeySpread = {};\nfunction jsxWithValidation(type, props, key, isStaticChildren, source, self) {\n {\n var validType = isValidElementType(type); // We warn in this case but don't throw. We expect the element creation to\n // succeed and there will likely be errors in render.\n\n if (!validType) {\n var info = '';\n\n if (type === undefined || typeof type === 'object' && type !== null && Object.keys(type).length === 0) {\n info += ' You likely forgot to export your component from the file ' + \"it's defined in, or you might have mixed up default and named imports.\";\n }\n\n var sourceInfo = getSourceInfoErrorAddendum(source);\n\n if (sourceInfo) {\n info += sourceInfo;\n } else {\n info += getDeclarationErrorAddendum();\n }\n\n var typeString;\n\n if (type === null) {\n typeString = 'null';\n } else if (isArray(type)) {\n typeString = 'array';\n } else if (type !== undefined && type.$$typeof === REACT_ELEMENT_TYPE) {\n typeString = \"<\" + (getComponentNameFromType(type.type) || 'Unknown') + \" />\";\n info = ' Did you accidentally export a JSX literal instead of a component?';\n } else {\n typeString = typeof type;\n }\n\n error('React.jsx: type is invalid -- expected a string (for ' + 'built-in components) or a class/function (for composite ' + 'components) but got: %s.%s', typeString, info);\n }\n\n var element = jsxDEV(type, props, key, source, self); // The result can be nullish if a mock or a custom function is used.\n // TODO: Drop this when these are no longer allowed as the type argument.\n\n if (element == null) {\n return element;\n } // Skip key warning if the type isn't valid since our key validation logic\n // doesn't expect a non-string/function type and can throw confusing errors.\n // We don't want exception behavior to differ between dev and prod.\n // (Rendering will throw with a helpful message and as soon as the type is\n // fixed, the key warnings will appear.)\n\n\n if (validType) {\n var children = props.children;\n\n if (children !== undefined) {\n if (isStaticChildren) {\n if (isArray(children)) {\n for (var i = 0; i < children.length; i++) {\n validateChildKeys(children[i], type);\n }\n\n if (Object.freeze) {\n Object.freeze(children);\n }\n } else {\n error('React.jsx: Static children should always be an array. ' + 'You are likely explicitly calling React.jsxs or React.jsxDEV. ' + 'Use the Babel transform instead.');\n }\n } else {\n validateChildKeys(children, type);\n }\n }\n }\n\n {\n if (hasOwnProperty.call(props, 'key')) {\n var componentName = getComponentNameFromType(type);\n var keys = Object.keys(props).filter(function (k) {\n return k !== 'key';\n });\n var beforeExample = keys.length > 0 ? '{key: someKey, ' + keys.join(': ..., ') + ': ...}' : '{key: someKey}';\n\n if (!didWarnAboutKeySpread[componentName + beforeExample]) {\n var afterExample = keys.length > 0 ? '{' + keys.join(': ..., ') + ': ...}' : '{}';\n\n error('A props object containing a \"key\" prop is being spread into JSX:\\n' + ' let props = %s;\\n' + ' <%s {...props} />\\n' + 'React keys must be passed directly to JSX without using spread:\\n' + ' let props = %s;\\n' + ' <%s key={someKey} {...props} />', beforeExample, componentName, afterExample, componentName);\n\n didWarnAboutKeySpread[componentName + beforeExample] = true;\n }\n }\n }\n\n if (type === REACT_FRAGMENT_TYPE) {\n validateFragmentProps(element);\n } else {\n validatePropTypes(element);\n }\n\n return element;\n }\n} // These two functions exist to still get child warnings in dev\n// even with the prod transform. This means that jsxDEV is purely\n// opt-in behavior for better messages but that we won't stop\n// giving you warnings if you use production apis.\n\nfunction jsxWithValidationStatic(type, props, key) {\n {\n return jsxWithValidation(type, props, key, true);\n }\n}\nfunction jsxWithValidationDynamic(type, props, key) {\n {\n return jsxWithValidation(type, props, key, false);\n }\n}\n\nvar jsx = jsxWithValidationDynamic ; // we may want to special case jsxs internally to take advantage of static children.\n// for now we can ship identical prod functions\n\nvar jsxs = jsxWithValidationStatic ;\n\nexports.Fragment = REACT_FRAGMENT_TYPE;\nexports.jsx = jsx;\nexports.jsxs = jsxs;\n })();\n}\n","'use strict';\n\nif (process.env.NODE_ENV === 'production') {\n module.exports = require('./cjs/react-jsx-runtime.production.min.js');\n} else {\n module.exports = require('./cjs/react-jsx-runtime.development.js');\n}\n","import { useState, useEffect, useCallback } from 'react'\nimport type { GlitchComponentProps, OnboardingScreen } from './types'\nimport styles from './styles.module.css'\n\nexport function OnboardingComponent({\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const [currentScreen, setCurrentScreen] = useState('disorientation')\n const [sphereGlitching, setSphereGlitching] = useState(false)\n const [signatureAnimating, setSignatureAnimating] = useState(false)\n const [hasAgreed, setHasAgreed] = useState(false)\n\n // Apply theme as CSS variables\n const themeStyle = theme ? {\n '--gc-primary': theme.primary,\n '--gc-accent': theme.accent,\n '--gc-bg': theme.bg,\n '--gc-bgSecondary': theme.bgSecondary,\n '--gc-text': theme.text,\n '--gc-textMuted': theme.textMuted,\n '--gc-border': theme.border,\n } as React.CSSProperties : {}\n\n // Progress tracking\n useEffect(() => {\n const progressMap: Record = {\n disorientation: 25,\n migration: 50,\n agreement: 75,\n navigation: 100\n }\n onProgress?.(progressMap[currentScreen])\n }, [currentScreen, onProgress])\n\n // Sphere glitch effect on Screen 1\n useEffect(() => {\n if (currentScreen !== 'disorientation') return\n\n const triggerGlitch = () => {\n setSphereGlitching(true)\n setTimeout(() => setSphereGlitching(false), 150)\n }\n\n // First glitch after 4 seconds\n const initialTimeout = setTimeout(triggerGlitch, 4000)\n\n // Random glitches every 3-6 seconds\n const interval = setInterval(() => {\n const delay = Math.random() * 3000 + 3000\n setTimeout(triggerGlitch, delay)\n }, 6000)\n\n return () => {\n clearTimeout(initialTimeout)\n clearInterval(interval)\n }\n }, [currentScreen])\n\n const handleSign = useCallback(() => {\n setSignatureAnimating(true)\n setTimeout(() => {\n setHasAgreed(true)\n setTimeout(() => {\n setCurrentScreen('navigation')\n }, 1000)\n }, 800)\n }, [])\n\n const handleComplete = useCallback((choice: 'lesson' | 'character') => {\n onComplete({\n success: true,\n data: {\n choice,\n agreedToTerms: true\n },\n rewards: {\n achievements: ['onboarding_complete'],\n unlocks: choice === 'lesson' ? ['tech_tree'] : ['character_builder']\n }\n })\n }, [onComplete])\n\n // Screen 1: The Disorientation\n const renderDisorientation = () => (\n
\n
\n\n
\n

\n You are standing on a smooth sphere. It looks continuous. It feels continuous.\n

\n\n
\n
\n {Array.from({ length: 36 }).map((_, i) => (\n
0.5 ? 0.8 : 0\n }} />\n ))}\n
\n
\n\n

\n But what if it isn't?\n

\n\n

\n Most people assume the universe is continuous.
\n We're not most people.\n

\n\n setCurrentScreen('migration')}\n >\n Enter the Glitch\n \n
\n
\n )\n\n // Screen 2: Migration Description\n const renderMigration = () => (\n
\n
\n\n
\n

\n A migration project for physics. That might fail. Or not.\n

\n\n
    \n
  • This is not a fringe physics forum.
    • \n
  • This is not an online RPG.
    • \n
  • This is not a lecture series in philosophy, physics and computer science.
    • \n
\n\n

\n It's all of those things.\n

\n\n
\n
RULE 1
\n
\n Nothing is obvious. Show it.
\n Predictions matter more than opinions.\n
\n
\n\n setCurrentScreen('agreement')}\n >\n Continue →\n \n
\n
\n )\n\n // Screen 3: Agreement\n const renderAgreement = () => (\n
\n
\n\n
\n

\n Make your mark and sign here\n

\n\n
\n \"I agree to test ideas against reality\"\n
\n\n
\n
\n \n ✕\n \n
\n \n ✏️\n \n
\n\n {!hasAgreed && (\n \n Sign\n \n )}\n
\n
\n )\n\n // Screen 4: Navigation\n const renderNavigation = () => (\n
\n
\n\n
\n

\n Welcome to the Glitch. What would you like to do?\n

\n\n
\n handleComplete('lesson')}\n >\n
\n Take me to the first lesson →\n
\n
\n Opens the tech tree and begins your journey\n
\n \n\n handleComplete('character')}\n >\n
\n Build my character first →\n
\n
\n Customize your presence in the Glitch\n
\n \n
\n
\n
\n )\n\n // Render current screen\n const screenRenderers: Record JSX.Element> = {\n disorientation: renderDisorientation,\n migration: renderMigration,\n agreement: renderAgreement,\n navigation: renderNavigation\n }\n\n return (\n
\n {screenRenderers[currentScreen]()}\n
\n )\n}\n","import { OnboardingComponent } from './OnboardingComponent'\nimport type { GlitchComponentProps, GlitchComponentResult } from './types'\n\nexport { OnboardingComponent }\nexport type { GlitchComponentProps, GlitchComponentResult }\n\nexport const metadata = {\n name: 'onboarding',\n version: '1.0.0',\n displayName: 'Glitch University Onboarding',\n description: 'Multi-screen onboarding experience introducing users to the Glitch universe',\n author: 'Glitch.university',\n paramSchema: {},\n tags: ['onboarding', 'intro', 'welcome']\n}\n\nexport default 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This is not for everyone." + }, + { + title: "How This Works", + lines: [ + "Watch a short module", + "Pass the glitch gate", + "Unlock the next tech", + "That's it. 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"Restart" : "Next" + } + ) + ] }) + ] }) + ] + } + ) }); +} +const se = { + name: "onboarding2", + displayName: "Facility Slideshow", + version: "1.0.0", + paramSchema: {}, + defaultParams: {} +}; +export { + ae as default, + se as metadata +}; +//# sourceMappingURL=onboarding2.js.map diff --git a/public/glitch/glitch_onboarding2/onboarding2.js.map b/public/glitch/glitch_onboarding2/onboarding2.js.map new file mode 100644 index 0000000..e9f29bc --- /dev/null +++ b/public/glitch/glitch_onboarding2/onboarding2.js.map @@ -0,0 +1 @@ +{"version":3,"file":"onboarding2.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import { useCallback, useEffect, useMemo, useRef, useState } from 'react'\nimport type { CSSProperties, TouchEvent } from 'react'\nimport type { GlitchComponentProps, SlideData } from './types'\nimport styles from './styles.module.css'\n\nconst SWIPE_THRESHOLD = 40\n\nconst SLIDES: SlideData[] = [\n {\n title: 'The Premise',\n lines: [\n 'This facility tests foundational assumptions.',\n '',\n 'Not interpretations.',\n 'Assumptions.'\n ]\n },\n {\n title: 'The method',\n lines: [\n 'This is math and philosophy.',\n 'Make assumption.',\n \"Pretend it's true.\",\n 'Where does that lead?'\n ]\n },\n {\n title: 'The law',\n lines: [\n 'We make predictions.',\n 'If they fail, the idea fails.'\n ]\n },\n {\n title: 'The way',\n lines: ['You will:'],\n bullets: [\n 'Pass challenges',\n 'Collect paradoxes',\n 'Examine anomalies',\n 'Learn to think sharply'\n ]\n },\n {\n title: 'Warning',\n lines: ['You may feel:'],\n bullets: [\n 'This is not a game!',\n 'Temporary confusion',\n 'The urge to defend existing physics!'\n ],\n bulletStyle: 'warning',\n after: 'Good. This is not for everyone.'\n },\n {\n title: 'How This Works',\n lines: [\n 'Watch a short module',\n 'Pass the glitch gate',\n 'Unlock the next tech',\n \"That's it. 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j(d) { + const r = [], n = d, f = 2 / n; + for (let u = 0; u < n; u++) + for (let m = 0; m < n; m++) + for (let o = 0; o < n; o++) { + const g = -1 + f * (u + 0.5), i = -1 + f * (m + 0.5), x = -1 + f * (o + 0.5), p = Math.sqrt(g * g + i * i + x * x), $ = f * 1.2; + p <= 1 && p > 1 - $ && r.push(g, i, x); + } + return { positions: r, count: r.length / 3 }; +} +function Te({ resolution: d, isInfinity: r }) { + const s = F(null), n = q(() => new te.Object3D(), []), { positions: f, count: u, cubeSize: m } = q(() => { + const i = Math.min(d, y), x = j(i), p = 2 / i * 0.85; + return { + positions: x.positions, + count: x.count, + cubeSize: p + }; + }, [d]); + z(() => { + if (!(!s.current || u === 0)) { + for (let i = 0; i < u; i++) + n.position.set( + f[i * 3], + f[i * 3 + 1], + f[i * 3 + 2] + ), n.scale.setScalar(m), n.updateMatrix(), s.current.setMatrixAt(i, n.matrix); + s.current.instanceMatrix.needsUpdate = !0, s.current.count = u; + } + }, [f, u, m, n]), Q((i) => { + s.current && 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"#ef4444" : "#818cf8"; + return /* @__PURE__ */ a("instancedMesh", { ref: s, args: [void 0, void 0, 1e4], frustumCulled: !1, children: [ + /* @__PURE__ */ e("boxGeometry", { args: [1, 1, 1] }), + /* @__PURE__ */ e( + "meshStandardMaterial", + { + color: o, + emissive: o, + emissiveIntensity: 0.05, + roughness: 0.4, + metalness: 0.3 + } + ) + ] }); +} +function k({ resolution: d, isInfinity: r }) { + return /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("ambientLight", { intensity: 0.3 }), + /* @__PURE__ */ e("directionalLight", { position: [5, 8, 5], intensity: 1.2, castShadow: !0 }), + /* @__PURE__ */ e("directionalLight", { position: [-3, -2, -4], intensity: 0.4, color: "#22d3ee" }), + /* @__PURE__ */ e("pointLight", { position: [0, 5, 0], intensity: 0.5 }), + /* @__PURE__ */ e(Te, { resolution: d, isInfinity: r }), + /* @__PURE__ */ e( + W, + { + enableZoom: !0, + enablePan: !1, + autoRotate: !1, + minDistance: 2, + maxDistance: 6 + } + ) + ] }); +} +function De() { + const d = F(null); + return Q((r) => { + d.current && (d.current.rotation.y = r.clock.elapsedTime * 0.3); + }), /* @__PURE__ */ a("mesh", { ref: d, children: [ + /* @__PURE__ */ e("sphereGeometry", { args: [1, 128, 128] }), + /* @__PURE__ */ e( + "meshStandardMaterial", + { + color: "#22d3ee", + emissive: "#22d3ee", + emissiveIntensity: 0.08, + roughness: 0.15, + metalness: 0.9, + envMapIntensity: 1 + } + ) + ] }); +} +function Ee() { + return /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("ambientLight", { intensity: 0.3 }), + /* @__PURE__ */ e("directionalLight", { position: [5, 8, 5], intensity: 1.5 }), + /* @__PURE__ */ e("directionalLight", { position: [-4, -2, -3], intensity: 0.5, color: "#6366f1" }), + /* @__PURE__ */ e("pointLight", { position: [0, 3, 3], intensity: 0.8, color: "#ffffff" }), + /* @__PURE__ */ e(De, {}), + /* @__PURE__ */ e( + W, + { + enableZoom: !1, + enablePan: !1, + autoRotate: !0, + autoRotateSpeed: 1.5 + } + ) + ] }); +} +function Pe({ + config: d, + onComplete: r, + onProgress: s, + theme: n, + className: f +}) { + const [u, m] = N("exploring"), [o, g] = N(A), [i, x] = N(null), [p, $] = N(!1), H = F(null), [v, K] = N({ + stacked: !1, + panelSize: 320, + gap: 16, + padding: 16 + }), M = o >= y, O = q(() => j(Math.min(o, y)).count, [o]); + z(() => { + const c = H.current; + if (!c || typeof ResizeObserver > "u") + return; + const l = () => { + const { width: h, height: S } = c.getBoundingClientRect(); + if (!h || !S) + return; + const C = S > h, E = Math.min(h, S), w = Math.round(Math.max(12, Math.min(28, E * 0.04))), B = Math.round(Math.max(12, Math.min(22, E * 0.03))), X = C ? h - w * 2 : (h - w * 2 - B) / 2, ee = C ? (S - w * 2 - B) / 2 : S - w * 2; + K({ + stacked: C, + panelSize: Math.max(0, Math.floor(Math.min(X, ee))), + gap: B, + padding: w + }); + }; + l(); + const b = new ResizeObserver(l); + return b.observe(c), () => b.disconnect(); + }, []); + const P = { + "--gc-primary": (n == null ? void 0 : n.primary) || "#6366f1", + "--gc-accent": (n == null ? void 0 : n.accent) || "#22d3ee", + "--gc-bg": (n == null ? void 0 : n.bg) || "#0a0a0f", + "--gc-bg-secondary": (n == null ? void 0 : n.bgSecondary) || "#12121a", + "--gc-text": (n == null ? void 0 : n.text) || "#e8e8ec", + "--gc-text-muted": (n == null ? void 0 : n.textMuted) || "#9999a8", + "--gc-border": (n == null ? void 0 : n.border) || "#2a2a3a", + "--panel-gap": `${v.gap}px`, + "--frame-pad": `${v.padding}px` + }, T = { + width: `${v.panelSize}px`, + height: `${v.panelSize}px` + }; + z(() => { + s == null || s(10); + }, [s]); + const G = V((c) => { + const l = Oe(parseInt(c.target.value, 10)); + g(l); + const b = 10 + l / y * 40; + s == null || s(Math.min(b, 50)), l >= y && !p && (m("warning"), $(!0), s == null || s(70)); + }, [p, s, y]), D = V((c) => { + x(c), m("result"), s == null || s(100); + }, [s]), Z = V(() => { + r({ + success: !0, + score: 100, + data: { + choice: i, + finalResolution: o, + exploredInfinity: p, + completedAt: (/* @__PURE__ */ new Date()).toISOString() + } + }); + }, [i, o, p, r]), U = (c) => c >= y ? "∞" : c.toString(), Y = (c, l) => l ? "∞" : c.toLocaleString(), J = (c, l) => { + if (l) + return "∞"; + const h = c * 80; + return h < 1024 ? `${h} B` : h < 1024 * 1024 ? `${(h / 1024).toFixed(1)} KB` : `${(h / (1024 * 1024)).toFixed(2)} MB`; + }, R = (c, l) => /* @__PURE__ */ a("div", { className: `${t.squarePanel} ${t.viewportPanel}`, style: T, children: [ + c, + /* @__PURE__ */ a("div", { className: t.statsOverlay, children: [ + /* @__PURE__ */ a("div", { className: t.stat, children: [ + /* @__PURE__ */ e("span", { className: t.statLabel, children: "Blocks" }), + /* @__PURE__ */ e("span", { className: `${t.statValue} ${l ? t.statInfinity : ""}`, children: Y(O, l) }) + ] }), + /* @__PURE__ */ a("div", { className: t.stat, children: [ + /* @__PURE__ */ e("span", { className: t.statLabel, children: "Memory" }), + /* @__PURE__ */ e("span", { className: `${t.statValue} ${l ? t.statInfinity : ""}`, children: J(O, l) }) + ] }) + ] }) + ] }), L = (c) => /* @__PURE__ */ e("div", { className: `${t.squarePanel} ${t.contentPanel}`, style: T, children: /* @__PURE__ */ e("div", { className: t.panelBody, children: c }) }); + return /* @__PURE__ */ e("div", { className: `${t.container} ${f || ""}`, style: P, children: /* @__PURE__ */ e("div", { ref: H, className: t.frame, children: /* @__PURE__ */ a( + "div", + { + className: t.squareLayout, + style: { flexDirection: v.stacked ? "column" : "row" }, + children: [ + u === "exploring" && /* @__PURE__ */ a(_, { children: [ + R( + /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: M }) }), + M + ), + L( + /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: "Resolution" }), + /* @__PURE__ */ e("p", { className: `${t.copy} ${t.muted}`, children: "Every step adds more cubes to the shell. Keep sliding until the approximation breaks open." }), + /* @__PURE__ */ a("div", { className: t.sliderSection, children: [ + /* @__PURE__ */ a("div", { className: t.sliderHeader, children: [ + /* @__PURE__ */ e("span", { className: t.sliderLabel, children: "Current Level" }), + /* @__PURE__ */ e("span", { className: `${t.sliderValue} ${M ? t.valueInfinity : ""}`, children: U(o) }) + ] }), + /* @__PURE__ */ e( + "input", + { + type: "range", + min: A, + max: y, + step: "2", + value: o, + onChange: G, + className: `${t.slider} ${M ? t.sliderInfinity : ""}` + } + ), + /* @__PURE__ */ e("div", { className: t.sliderHint, children: "Drag right to approach a perfectly smooth sphere." }) + ] }) + ] }) + ) + ] }), + u === "warning" && /* @__PURE__ */ a(_, { children: [ + R( + /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: !0 }) }), + !0 + ), + L( + /* @__PURE__ */ a("div", { className: t.warning, children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: "Limit Reached" }), + /* @__PURE__ */ e("p", { className: t.warningText, children: "At infinite resolution, the sphere needs infinitely many blocks." }), + /* @__PURE__ */ e("p", { className: t.warningText, children: "Infinitely many blocks means infinite information and unbounded memory." }), + /* @__PURE__ */ e("p", { className: t.warningQuestion, children: "Do you want the perfect sphere anyway?" }), + /* @__PURE__ */ a("div", { className: t.warningChoices, children: [ + /* @__PURE__ */ e( + "button", + { + className: `${t.choiceButton} ${t.choiceInfinity}`, + onClick: () => D("infinity"), + children: "Embrace Infinity" + } + ), + /* @__PURE__ */ e( + "button", + { + className: `${t.choiceButton} ${t.choiceFinite}`, + onClick: () => D("finite"), + children: "Keep It Finite" + } + ) + ] }) + ] }) + ) + ] }), + u === "result" && /* @__PURE__ */ a(_, { children: [ + R( + i === "infinity" ? /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3], fov: 50 }, children: /* @__PURE__ */ e(Ee, {}) }) : /* @__PURE__ */ e(I, { camera: { position: [0, 0, 3.5], fov: 50 }, children: /* @__PURE__ */ e(k, { resolution: o, isInfinity: !1 }) }), + i === "infinity" + ), + L( + /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("div", { className: t.badge, children: i === "finite" ? "Finite Wins" : "Infinity Chosen" }), + /* @__PURE__ */ a("div", { className: t.resultStats, children: [ + /* @__PURE__ */ a("div", { className: t.resultRow, children: [ + /* @__PURE__ */ e("span", { children: "Memory Required" }), + /* @__PURE__ */ e("span", { className: i === "finite" ? t.resultSuccess : t.resultAccent, children: i === "finite" ? "Finite" : "∞" }) + ] }), + /* @__PURE__ */ a("div", { className: t.resultRow, children: [ + /* @__PURE__ */ e("span", { children: "Simulation Possible" }), + /* @__PURE__ */ e("span", { className: i === "finite" ? t.resultSuccess : t.resultAccent, children: i === "finite" ? "Yes" : "Only in theory" }) + ] }) + ] }), + /* @__PURE__ */ e("p", { className: t.resultMessage, children: i === "finite" ? /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("strong", { children: "Discreteness can be enough." }), + " A finite model never becomes perfect, but it can get close enough to feel continuous." + ] }) : /* @__PURE__ */ a(_, { children: [ + /* @__PURE__ */ e("strong", { children: "Perfect smoothness costs infinity." }), + " A mathematically exact sphere cannot be simulated without infinite information." + ] }) }), + /* @__PURE__ */ e("button", { className: t.completeButton, onClick: Z, children: "Complete Challenge" }) + ] }) + ) + ] }) + ] + } + ) }) }); +} +const Ge = { + name: "sphere-paradox", + displayName: "Create a Perfect Sphere", + version: "1.0.0", + paramSchema: {}, + defaultParams: {} +}; +export { + Pe as default, + Ge as metadata +}; +//# sourceMappingURL=sphere-paradox.js.map diff --git a/public/glitch/glitch_sphere_paradox/sphere-paradox.js.map b/public/glitch/glitch_sphere_paradox/sphere-paradox.js.map new file mode 100644 index 0000000..159cadb --- /dev/null +++ b/public/glitch/glitch_sphere_paradox/sphere-paradox.js.map @@ -0,0 +1 @@ +{"version":3,"file":"sphere-paradox.js","sources":["../src/Component.tsx","../src/index.tsx"],"sourcesContent":["import {\n useCallback,\n useMemo,\n useState,\n useRef,\n useEffect,\n type CSSProperties,\n type ChangeEvent,\n type ReactNode\n} from 'react';\nimport { Canvas, useFrame } from '@react-three/fiber';\nimport { OrbitControls } from '@react-three/drei';\nimport * as THREE from 'three';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\ninterface VoxelSphereProps {\n resolution: number;\n isInfinity: boolean;\n}\n\nconst minResolution = 5;\nconst maxResolution = 41;\n\nfunction normalizeOddResolution(value: number): number {\n const clamped = Math.min(Math.max(value, minResolution), maxResolution);\n return clamped % 2 === 0 ? clamped + 1 : clamped;\n}\n\n// Generate voxel positions for a solid sphere (filled, not just shell)\nfunction generateVoxelSphere(resolution: number): { positions: number[], count: number } {\n const positions: number[] = [];\n const radius = 1.0;\n\n // Number of voxels along each axis\n const gridSize = resolution;\n const voxelSize = 2 / gridSize;\n\n for (let ix = 0; ix < gridSize; ix++) {\n for (let iy = 0; iy < gridSize; iy++) {\n for (let iz = 0; iz < gridSize; iz++) {\n // Center of this voxel\n const x = -1 + voxelSize * (ix + 0.5);\n const y = -1 + voxelSize * (iy + 0.5);\n const z = -1 + voxelSize * (iz + 0.5);\n\n const dist = Math.sqrt(x * x + y * y + z * z);\n\n // Include voxels on the surface (shell)\n // Shell thickness scales with voxel size\n const shellThickness = voxelSize * 1.2;\n if (dist <= radius && dist > radius - shellThickness) {\n positions.push(x, y, z);\n }\n }\n }\n }\n\n return { positions, count: positions.length / 3 };\n}\n\nfunction VoxelSphere({ resolution, isInfinity }: VoxelSphereProps) {\n const meshRef = useRef(null);\n const dummy = useMemo(() => new THREE.Object3D(), []);\n\n // Generate voxel data\n const { positions, count, cubeSize } = useMemo(() => {\n const effectiveRes = Math.min(resolution, maxResolution);\n const data = generateVoxelSphere(effectiveRes);\n const size = (2 / effectiveRes) * 0.85; // Slightly smaller to show gaps\n return {\n positions: data.positions,\n count: data.count,\n cubeSize: size\n };\n }, [resolution]);\n\n // Update instance matrices when positions change\n useEffect(() => {\n if (!meshRef.current || count === 0) return;\n\n for (let i = 0; i < count; i++) {\n dummy.position.set(\n positions[i * 3],\n positions[i * 3 + 1],\n positions[i * 3 + 2]\n );\n dummy.scale.setScalar(cubeSize);\n dummy.updateMatrix();\n meshRef.current.setMatrixAt(i, dummy.matrix);\n }\n meshRef.current.instanceMatrix.needsUpdate = true;\n meshRef.current.count = count;\n }, [positions, count, cubeSize, dummy]);\n\n // Rotate the sphere\n useFrame((state) => {\n if (meshRef.current) {\n meshRef.current.rotation.y = state.clock.elapsedTime * 0.2;\n }\n });\n\n const color = isInfinity ? '#ef4444' : '#818cf8';\n\n // Use a large initial count to avoid recreating the mesh\n const maxInstances = 10000;\n\n return (\n \n \n \n \n );\n}\n\nfunction Scene({ resolution, isInfinity }: VoxelSphereProps) {\n return (\n <>\n \n \n \n \n \n \n \n );\n}\n\n// Smooth parametric sphere for the \"infinity\" result\nfunction SmoothSphere() {\n const meshRef = useRef(null);\n\n useFrame((state) => {\n if (meshRef.current) {\n meshRef.current.rotation.y = state.clock.elapsedTime * 0.3;\n }\n });\n\n return (\n \n \n \n \n );\n}\n\nfunction SmoothSphereScene() {\n return (\n <>\n \n \n \n \n \n \n \n );\n}\n\ntype Phase = 'exploring' | 'warning' | 'result';\ntype Choice = 'infinity' | 'finite' | null;\n\ninterface LayoutState {\n stacked: boolean;\n panelSize: number;\n gap: number;\n padding: number;\n}\n\nexport default function SphereParadox({\n config: _config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n void _config;\n const [phase, setPhase] = useState('exploring');\n const [resolution, setResolution] = useState(minResolution);\n const [choice, setChoice] = useState(null);\n const [hasSeenWarning, setHasSeenWarning] = useState(false);\n const frameRef = useRef(null);\n const [layout, setLayout] = useState({\n stacked: false,\n panelSize: 320,\n gap: 16,\n padding: 16\n });\n const isAtInfinity = resolution >= maxResolution;\n\n // Calculate actual voxel count\n const voxelCount = useMemo(() => {\n const data = generateVoxelSphere(Math.min(resolution, maxResolution));\n return data.count;\n }, [resolution]);\n\n useEffect(() => {\n const frame = frameRef.current;\n if (!frame || typeof ResizeObserver === 'undefined') return;\n\n const measure = () => {\n const { width, height } = frame.getBoundingClientRect();\n if (!width || !height) return;\n\n const stacked = height > width;\n const minEdge = Math.min(width, height);\n const padding = Math.round(Math.max(12, Math.min(28, minEdge * 0.04)));\n const gap = Math.round(Math.max(12, Math.min(22, minEdge * 0.03)));\n const maxSquareWidth = stacked\n ? width - padding * 2\n : (width - padding * 2 - gap) / 2;\n const maxSquareHeight = stacked\n ? (height - padding * 2 - gap) / 2\n : height - padding * 2;\n\n setLayout({\n stacked,\n panelSize: Math.max(0, Math.floor(Math.min(maxSquareWidth, maxSquareHeight))),\n gap,\n padding\n });\n };\n\n measure();\n\n const observer = new ResizeObserver(measure);\n observer.observe(frame);\n\n return () => observer.disconnect();\n }, []);\n\n const cssVars = {\n '--gc-primary': theme?.primary || '#6366f1',\n '--gc-accent': theme?.accent || '#22d3ee',\n '--gc-bg': theme?.bg || '#0a0a0f',\n '--gc-bg-secondary': theme?.bgSecondary || '#12121a',\n '--gc-text': theme?.text || '#e8e8ec',\n '--gc-text-muted': theme?.textMuted || '#9999a8',\n '--gc-border': theme?.border || '#2a2a3a',\n '--panel-gap': `${layout.gap}px`,\n '--frame-pad': `${layout.padding}px`\n } as CSSProperties;\n\n const squareStyle = {\n width: `${layout.panelSize}px`,\n height: `${layout.panelSize}px`\n } as CSSProperties;\n\n useEffect(() => {\n onProgress?.(10);\n }, [onProgress]);\n\n const handleSliderChange = useCallback((e: ChangeEvent) => {\n const val = normalizeOddResolution(parseInt(e.target.value, 10));\n setResolution(val);\n\n const progress = 10 + (val / maxResolution) * 40;\n onProgress?.(Math.min(progress, 50));\n\n if (val >= maxResolution && !hasSeenWarning) {\n setPhase('warning');\n setHasSeenWarning(true);\n onProgress?.(70);\n }\n }, [hasSeenWarning, onProgress, maxResolution]);\n\n const handleChoice = useCallback((selectedChoice: 'infinity' | 'finite') => {\n setChoice(selectedChoice);\n setPhase('result');\n onProgress?.(100);\n }, [onProgress]);\n\n const handleComplete = useCallback(() => {\n // Both choices succeed - this is an educational step, not a gate\n onComplete({\n success: true,\n score: 100,\n data: {\n choice,\n finalResolution: resolution,\n exploredInfinity: hasSeenWarning,\n completedAt: new Date().toISOString()\n }\n });\n }, [choice, resolution, hasSeenWarning, onComplete]);\n\n const formatResolution = (res: number) => {\n if (res >= maxResolution) return '∞';\n return res.toString();\n };\n\n const formatVoxelCount = (count: number, isInf: boolean) => {\n if (isInf) return '∞';\n return count.toLocaleString();\n };\n\n const formatMemory = (count: number, isInf: boolean) => {\n if (isInf) return '∞';\n const bytesPerVoxel = 80;\n const bytes = count * bytesPerVoxel;\n if (bytes < 1024) return `${bytes} B`;\n if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)} KB`;\n return `${(bytes / (1024 * 1024)).toFixed(2)} MB`;\n };\n\n const renderViewportPanel = (scene: ReactNode, isInf: boolean) => (\n
\n {scene}\n
\n
\n Blocks\n \n {formatVoxelCount(voxelCount, isInf)}\n \n
\n
\n Memory\n \n {formatMemory(voxelCount, isInf)}\n \n
\n
\n
\n );\n\n const renderContentPanel = (content: ReactNode) => (\n
\n
{content}
\n
\n );\n\n return (\n
\n
\n \n {phase === 'exploring' && (\n <>\n {renderViewportPanel(\n \n \n ,\n isAtInfinity\n )}\n {renderContentPanel(\n <>\n
Resolution
\n

\n Every step adds more cubes to the shell. Keep sliding until the approximation breaks open.\n

\n\n
\n
\n Current Level\n \n {formatResolution(resolution)}\n \n
\n \n
\n Drag right to approach a perfectly smooth sphere.\n
\n
\n \n )}\n \n )}\n\n {phase === 'warning' && (\n <>\n {renderViewportPanel(\n \n \n ,\n true\n )}\n {renderContentPanel(\n
\n
Limit Reached
\n

\n At infinite resolution, the sphere needs infinitely many blocks.\n

\n

\n Infinitely many blocks means infinite information and unbounded memory.\n

\n

\n Do you want the perfect sphere anyway?\n

\n
\n handleChoice('infinity')}\n >\n Embrace Infinity\n \n handleChoice('finite')}\n >\n Keep It Finite\n \n
\n
\n )}\n \n )}\n\n {phase === 'result' && (\n <>\n {renderViewportPanel(\n choice === 'infinity' ? (\n \n \n \n ) : (\n \n \n \n ),\n choice === 'infinity'\n )}\n {renderContentPanel(\n <>\n
\n {choice === 'finite' ? 'Finite Wins' : 'Infinity Chosen'}\n
\n
\n
\n Memory Required\n \n {choice === 'finite' ? 'Finite' : '∞'}\n \n
\n
\n Simulation Possible\n \n {choice === 'finite' ? 'Yes' : 'Only in theory'}\n \n
\n
\n\n

\n {choice === 'finite' ? (\n <>\n Discreteness can be enough. A finite model never becomes perfect, but it can get close enough to feel continuous.\n \n ) : (\n <>\n Perfect smoothness costs infinity. A mathematically exact sphere cannot be simulated without infinite information.\n \n )}\n

\n\n \n \n )}\n \n )}\n
\n
\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'sphere-paradox',\n displayName: 'Create a Perfect Sphere',\n version: '1.0.0',\n paramSchema: {},\n defaultParams: {}\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult\n} from 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\ No newline at end of file diff --git a/public/glitch/glitch_voxel_universe/glitch.manifest.json b/public/glitch/glitch_voxel_universe/glitch.manifest.json new file mode 100644 index 0000000..978bde3 --- /dev/null +++ b/public/glitch/glitch_voxel_universe/glitch.manifest.json @@ -0,0 +1,14 @@ +{ + "componentId": "voxel-universe", + "displayName": "Voxel Universe", + "version": "1.0.0", + "folderName": "glitch_voxel_universe", + "packageName": "@glitch-components/voxel-universe", + "entry": "dist/voxel_universe.js", + "source": "src/index.tsx", + "tags": [ + "glitch-component", + "voxel", + "geometry" + ] +} diff --git a/public/glitch/glitch_voxel_universe/host.js b/public/glitch/glitch_voxel_universe/host.js new file mode 100644 index 0000000..434595e --- /dev/null +++ b/public/glitch/glitch_voxel_universe/host.js @@ -0,0 +1,29 @@ +import React from "react"; +import { createRoot } from "react-dom/client"; +import VoxelUniverse, { metadata } from "./voxel_universe.js"; + +const rootElement = document.getElementById("root"); + +if (rootElement) { + createRoot(rootElement).render( + React.createElement(VoxelUniverse, { + config: { + id: "voxel-universe-hosted", + name: metadata?.name ?? "voxel_universe", + version: metadata?.version ?? "1.0.0", + params: metadata?.defaultParams ?? {} + }, + theme: { + primary: "#45c4b0", + accent: "#ff7a59", + bg: "#0d1117", + bgSecondary: "#182237", + text: "#f1f4ef", + textMuted: "#b6c0d4", + border: "#34516f" + }, + onProgress: () => {}, + onComplete: () => {} + }) + ); +} diff --git a/public/glitch/glitch_voxel_universe/index.html b/public/glitch/glitch_voxel_universe/index.html new file mode 100644 index 0000000..0db95d2 --- /dev/null +++ b/public/glitch/glitch_voxel_universe/index.html @@ -0,0 +1,34 @@ + + + + + + Voxel Universe + + + + +
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+import { jsx as pn, jsxs as yi } from "react/jsx-runtime"; +import { useState as Ms, useRef as dr, useEffect as ai, useMemo as fr } from "react"; +/** + * @license + * Copyright 2010-2023 Three.js Authors + * SPDX-License-Identifier: MIT + */ +const ss = "160", Ln = { ROTATE: 0, DOLLY: 1, PAN: 2 }, Pn = { ROTATE: 0, PAN: 1, DOLLY_PAN: 2, DOLLY_ROTATE: 3 }, Yo = 0, Ss = 1, jo = 2, so = 1, ao = 2, jt = 3, un = 0, Mt = 1, Kt = 2, on = 0, $n = 1, Es = 2, ys = 3, Ts = 4, Ko = 5, Mn = 100, Zo = 101, $o = 102, bs = 103, As = 104, Jo = 200, Qo = 201, el = 202, tl = 203, Kr = 204, Zr = 205, nl = 206, il = 207, rl = 208, sl = 209, al = 210, ol = 211, ll = 212, cl = 213, ul = 214, hl = 0, dl = 1, fl = 2, $i = 3, pl = 4, ml = 5, _l = 6, gl = 7, oo = 0, vl = 1, xl = 2, ln = 0, Ml = 1, Sl = 2, El = 3, yl = 4, Tl = 5, bl = 6, lo = 300, Qn = 301, ei = 302, $r = 303, Jr = 304, rr = 306, Qr = 1e3, Nt = 1001, es = 1002, gt = 1003, ws = 1004, pr = 1005, Rt = 1006, Al = 1007, _i = 1008, cn = 1009, wl = 1010, Rl = 1011, as = 1012, co = 1013, sn = 1014, an = 1015, gi = 1016, uo = 1017, ho = 1018, En = 1020, Cl = 1021, Ft = 1023, Ll = 1024, Pl = 1025, yn = 1026, ti = 1027, Dl = 1028, fo = 1029, Ul = 1030, po = 1031, mo = 1033, mr = 33776, _r = 33777, gr = 33778, vr = 33779, Rs = 35840, Cs = 35841, Ls = 35842, Ps = 35843, _o = 36196, Ds = 37492, Us = 37496, Is = 37808, Ns = 37809, Fs = 37810, Os = 37811, Bs = 37812, zs = 37813, Gs = 37814, Hs = 37815, Vs = 37816, ks = 37817, Ws = 37818, Xs = 37819, qs = 37820, Ys = 37821, xr = 36492, js = 36494, Ks = 36495, Il = 36283, Zs = 36284, $s = 36285, Js = 36286, go = 3e3, Tn = 3001, Nl = 3200, Fl = 3201, vo = 0, Ol = 1, Ct = "", ht = "srgb", $t = "srgb-linear", os = "display-p3", sr = "display-p3-linear", Ji = "linear", Ze = "srgb", Qi = "rec709", er = "p3", Dn = 7680, Qs = 519, Bl = 512, zl = 513, Gl = 514, xo = 515, Hl = 516, Vl = 517, kl = 518, Wl = 519, ea = 35044, ta = "300 es", ts = 1035, Zt = 2e3, tr = 2001; +class Rn { + addEventListener(e, t) { + this._listeners === void 0 && (this._listeners = {}); + const n = this._listeners; + n[e] === void 0 && (n[e] = []), n[e].indexOf(t) === -1 && n[e].push(t); + } + hasEventListener(e, t) { + if (this._listeners === void 0) return !1; + const n = this._listeners; + return n[e] !== void 0 && n[e].indexOf(t) !== -1; + } + removeEventListener(e, t) { + if (this._listeners === void 0) return; + const r = this._listeners[e]; + if (r !== void 0) { + const s = r.indexOf(t); + s !== -1 && r.splice(s, 1); + } + } + dispatchEvent(e) { + if (this._listeners === void 0) return; + const n = this._listeners[e.type]; + if (n !== void 0) { + e.target = this; + const r = n.slice(0); + for (let s = 0, o = r.length; s < o; s++) + r[s].call(this, e); + e.target = null; + } + } +} +const pt = ["00", "01", "02", "03", "04", "05", "06", "07", "08", "09", "0a", "0b", "0c", "0d", "0e", "0f", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "1a", "1b", "1c", "1d", "1e", "1f", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "2a", "2b", "2c", "2d", "2e", "2f", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "3a", "3b", "3c", "3d", "3e", "3f", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "4a", "4b", "4c", "4d", "4e", "4f", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "5a", "5b", "5c", "5d", "5e", "5f", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "6a", "6b", "6c", "6d", "6e", "6f", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "7a", "7b", "7c", "7d", "7e", "7f", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "8a", "8b", "8c", "8d", "8e", "8f", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "9a", "9b", "9c", "9d", "9e", "9f", "a0", "a1", "a2", "a3", "a4", "a5", "a6", "a7", "a8", "a9", "aa", "ab", "ac", "ad", "ae", "af", "b0", "b1", "b2", "b3", "b4", "b5", "b6", "b7", "b8", "b9", "ba", "bb", "bc", "bd", "be", "bf", "c0", "c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "ca", "cb", "cc", "cd", "ce", "cf", "d0", "d1", "d2", "d3", "d4", "d5", "d6", "d7", "d8", "d9", "da", "db", "dc", "dd", "de", "df", "e0", "e1", "e2", "e3", "e4", "e5", "e6", "e7", "e8", "e9", "ea", "eb", "ec", "ed", "ee", "ef", "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7", "f8", "f9", "fa", "fb", "fc", "fd", "fe", "ff"], Ki = Math.PI / 180, ns = 180 / Math.PI; +function vi() { + const i = Math.random() * 4294967295 | 0, e = Math.random() * 4294967295 | 0, t = Math.random() * 4294967295 | 0, n = Math.random() * 4294967295 | 0; + return (pt[i & 255] + pt[i >> 8 & 255] + pt[i >> 16 & 255] + pt[i >> 24 & 255] + "-" + pt[e & 255] + pt[e >> 8 & 255] + "-" + pt[e >> 16 & 15 | 64] + pt[e >> 24 & 255] + "-" + pt[t & 63 | 128] + pt[t >> 8 & 255] + "-" + pt[t >> 16 & 255] + pt[t >> 24 & 255] + pt[n & 255] + pt[n >> 8 & 255] + pt[n >> 16 & 255] + pt[n >> 24 & 255]).toLowerCase(); +} +function vt(i, e, t) { + return Math.max(e, Math.min(t, i)); +} +function Xl(i, e) { + return (i % e + e) % e; +} +function Mr(i, e, t) { + return (1 - t) * i + t * e; +} +function na(i) { + return (i & i - 1) === 0 && i !== 0; +} +function is(i) { + return Math.pow(2, Math.floor(Math.log(i) / Math.LN2)); +} +function oi(i, e) { + switch (e.constructor) { + case Float32Array: + return i; + case Uint32Array: + return i / 4294967295; + case Uint16Array: + return i / 65535; + case Uint8Array: + return i / 255; + case Int32Array: + return Math.max(i / 2147483647, -1); + case Int16Array: + return Math.max(i / 32767, -1); + case Int8Array: + return Math.max(i / 127, -1); + default: + throw new Error("Invalid component type."); + } +} +function xt(i, e) { + switch (e.constructor) { + case Float32Array: + return i; + case Uint32Array: + return Math.round(i * 4294967295); + case Uint16Array: + return Math.round(i * 65535); + case Uint8Array: + return Math.round(i * 255); + case Int32Array: + return Math.round(i * 2147483647); + case Int16Array: + return Math.round(i * 32767); + case Int8Array: + return Math.round(i * 127); + default: + throw new Error("Invalid component type."); + } +} +const ql = { + DEG2RAD: Ki +}; +class Ie { + constructor(e = 0, t = 0) { + Ie.prototype.isVector2 = !0, this.x = e, this.y = t; + } + get width() { + return this.x; + } + set width(e) { + this.x = e; + } + get height() { + return this.y; + } + set height(e) { + this.y = e; + } + set(e, t) { + return this.x = e, this.y = t, this; + } + setScalar(e) { + return this.x = e, this.y = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y); + } + copy(e) { + return this.x = e.x, this.y = e.y, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this; + } + addScalar(e) { + return this.x += e, this.y += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this; + } + divide(e) { + return this.x /= e.x, this.y /= e.y, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + applyMatrix3(e) { + const t = this.x, n = this.y, r = e.elements; + return this.x = r[0] * t + r[3] * n + r[6], this.y = r[1] * t + r[4] * n + r[7], this; + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this; + } + dot(e) { + return this.x * e.x + this.y * e.y; + } + cross(e) { + return this.x * e.y - this.y * e.x; + } + lengthSq() { + return this.x * this.x + this.y * this.y; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + angle() { + return Math.atan2(-this.y, -this.x) + Math.PI; + } + angleTo(e) { + const t = Math.sqrt(this.lengthSq() * e.lengthSq()); + if (t === 0) return Math.PI / 2; + const n = this.dot(e) / t; + return Math.acos(vt(n, -1, 1)); + } + distanceTo(e) { + return Math.sqrt(this.distanceToSquared(e)); + } + distanceToSquared(e) { + const t = this.x - e.x, n = this.y - e.y; + return t * t + n * n; + } + manhattanDistanceTo(e) { + return Math.abs(this.x - e.x) + Math.abs(this.y - e.y); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this; + } + equals(e) { + return e.x === this.x && e.y === this.y; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this; + } + rotateAround(e, t) { + const n = Math.cos(t), r = Math.sin(t), s = this.x - e.x, o = this.y - e.y; + return this.x = s * n - o * r + e.x, this.y = s * r + o * n + e.y, this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y; + } +} +class Ve { + constructor(e, t, n, r, s, o, a, l, c) { + Ve.prototype.isMatrix3 = !0, this.elements = [ + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1 + ], e !== void 0 && this.set(e, t, n, r, s, o, a, l, c); + } + set(e, t, n, r, s, o, a, l, c) { + const h = this.elements; + return h[0] = e, h[1] = r, h[2] = a, h[3] = t, h[4] = s, h[5] = l, h[6] = n, h[7] = o, h[8] = c, this; + } + identity() { + return this.set( + 1, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 1 + ), this; + } + copy(e) { + const t = this.elements, n = e.elements; + return t[0] = n[0], t[1] = n[1], t[2] = n[2], t[3] = n[3], t[4] = n[4], t[5] = n[5], t[6] = n[6], t[7] = n[7], t[8] = n[8], this; + } + extractBasis(e, t, n) { + return e.setFromMatrix3Column(this, 0), t.setFromMatrix3Column(this, 1), n.setFromMatrix3Column(this, 2), this; + } + setFromMatrix4(e) { + const t = e.elements; + return this.set( + t[0], + t[4], + t[8], + t[1], + t[5], + t[9], + t[2], + t[6], + t[10] + ), this; + } + multiply(e) { + return this.multiplyMatrices(this, e); + } + premultiply(e) { + return this.multiplyMatrices(e, this); + } + multiplyMatrices(e, t) { + const n = e.elements, r = t.elements, s = this.elements, o = n[0], a = n[3], l = n[6], c = n[1], h = n[4], d = n[7], p = n[2], m = n[5], g = n[8], v = r[0], f = r[3], u = r[6], b = r[1], S = r[4], R = r[7], D = r[2], C = r[5], A = r[8]; + return s[0] = o * v + a * b + l * D, s[3] = o * f + a * S + l * C, s[6] = o * u + a * R + l * A, s[1] = c * v + h * b + d * D, s[4] = c * f + h * S + d * C, s[7] = c * u + h * R + d * A, s[2] = p * v + m * b + g * D, s[5] = p * f + m * S + g * C, s[8] = p * u + m * R + g * A, this; + } + multiplyScalar(e) { + const t = this.elements; + return t[0] *= e, t[3] *= e, t[6] *= e, t[1] *= e, t[4] *= e, t[7] *= e, t[2] *= e, t[5] *= e, t[8] *= e, this; + } + determinant() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8]; + return t * o * h - t * a * c - n * s * h + n * a * l + r * s * c - r * o * l; + } + invert() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8], d = h * o - a * c, p = a * l - h * s, m = c * s - o * l, g = t * d + n * p + r * m; + if (g === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0); + const v = 1 / g; + return e[0] = d * v, e[1] = (r * c - h * n) * v, e[2] = (a * n - r * o) * v, e[3] = p * v, e[4] = (h * t - r * l) * v, e[5] = (r * s - a * t) * v, e[6] = m * v, e[7] = (n * l - c * t) * v, e[8] = (o * t - n * s) * v, this; + } + transpose() { + let e; + const t = this.elements; + return e = t[1], t[1] = t[3], t[3] = e, e = t[2], t[2] = t[6], t[6] = e, e = t[5], t[5] = t[7], t[7] = e, this; + } + getNormalMatrix(e) { + return this.setFromMatrix4(e).invert().transpose(); + } + transposeIntoArray(e) { + const t = this.elements; + return e[0] = t[0], e[1] = t[3], e[2] = t[6], e[3] = t[1], e[4] = t[4], e[5] = t[7], e[6] = t[2], e[7] = t[5], e[8] = t[8], this; + } + setUvTransform(e, t, n, r, s, o, a) { + const l = Math.cos(s), c = Math.sin(s); + return this.set( + n * l, + n * c, + -n * (l * o + c * a) + o + e, + -r * c, + r * l, + -r * (-c * o + l * a) + a + t, + 0, + 0, + 1 + ), this; + } + // + scale(e, t) { + return this.premultiply(Sr.makeScale(e, t)), this; + } + rotate(e) { + return this.premultiply(Sr.makeRotation(-e)), this; + } + translate(e, t) { + return this.premultiply(Sr.makeTranslation(e, t)), this; + } + // for 2D Transforms + makeTranslation(e, t) { + return e.isVector2 ? this.set( + 1, + 0, + e.x, + 0, + 1, + e.y, + 0, + 0, + 1 + ) : this.set( + 1, + 0, + e, + 0, + 1, + t, + 0, + 0, + 1 + ), this; + } + makeRotation(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + -n, + 0, + n, + t, + 0, + 0, + 0, + 1 + ), this; + } + makeScale(e, t) { + return this.set( + e, + 0, + 0, + 0, + t, + 0, + 0, + 0, + 1 + ), this; + } + // + equals(e) { + const t = this.elements, n = e.elements; + for (let r = 0; r < 9; r++) + if (t[r] !== n[r]) return !1; + return !0; + } + fromArray(e, t = 0) { + for (let n = 0; n < 9; n++) + this.elements[n] = e[n + t]; + return this; + } + toArray(e = [], t = 0) { + const n = this.elements; + return e[t] = n[0], e[t + 1] = n[1], e[t + 2] = n[2], e[t + 3] = n[3], e[t + 4] = n[4], e[t + 5] = n[5], e[t + 6] = n[6], e[t + 7] = n[7], e[t + 8] = n[8], e; + } + clone() { + return new this.constructor().fromArray(this.elements); + } +} +const Sr = /* @__PURE__ */ new Ve(); +function Mo(i) { + for (let e = i.length - 1; e >= 0; --e) + if (i[e] >= 65535) return !0; + return !1; +} +function nr(i) { + return document.createElementNS("http://www.w3.org/1999/xhtml", i); +} +function Yl() { + const i = nr("canvas"); + return i.style.display = "block", i; +} +const ia = {}; +function mi(i) { + i in ia || (ia[i] = !0, console.warn(i)); +} +const ra = /* @__PURE__ */ new Ve().set( + 0.8224621, + 0.177538, + 0, + 0.0331941, + 0.9668058, + 0, + 0.0170827, + 0.0723974, + 0.9105199 +), sa = /* @__PURE__ */ new Ve().set( + 1.2249401, + -0.2249404, + 0, + -0.0420569, + 1.0420571, + 0, + -0.0196376, + -0.0786361, + 1.0982735 +), Ti = { + [$t]: { + transfer: Ji, + primaries: Qi, + toReference: (i) => i, + fromReference: (i) => i + }, + [ht]: { + transfer: Ze, + primaries: Qi, + toReference: (i) => i.convertSRGBToLinear(), + fromReference: (i) => i.convertLinearToSRGB() + }, + [sr]: { + transfer: Ji, + primaries: er, + toReference: (i) => i.applyMatrix3(sa), + fromReference: (i) => i.applyMatrix3(ra) + }, + [os]: { + transfer: Ze, + primaries: er, + toReference: (i) => i.convertSRGBToLinear().applyMatrix3(sa), + fromReference: (i) => i.applyMatrix3(ra).convertLinearToSRGB() + } +}, jl = /* @__PURE__ */ new Set([$t, sr]), Ke = { + enabled: !0, + _workingColorSpace: $t, + get workingColorSpace() { + return this._workingColorSpace; + }, + set workingColorSpace(i) { + if (!jl.has(i)) + throw new Error(`Unsupported working color space, "${i}".`); + this._workingColorSpace = i; + }, + convert: function(i, e, t) { + if (this.enabled === !1 || e === t || !e || !t) + return i; + const n = Ti[e].toReference, r = Ti[t].fromReference; + return r(n(i)); + }, + fromWorkingColorSpace: function(i, e) { + return this.convert(i, this._workingColorSpace, e); + }, + toWorkingColorSpace: function(i, e) { + return this.convert(i, e, this._workingColorSpace); + }, + getPrimaries: function(i) { + return Ti[i].primaries; + }, + getTransfer: function(i) { + return i === Ct ? Ji : Ti[i].transfer; + } +}; +function Jn(i) { + return i < 0.04045 ? i * 0.0773993808 : Math.pow(i * 0.9478672986 + 0.0521327014, 2.4); +} +function Er(i) { + return i < 31308e-7 ? i * 12.92 : 1.055 * Math.pow(i, 0.41666) - 0.055; +} +let Un; +class So { + static getDataURL(e) { + if (/^data:/i.test(e.src) || typeof HTMLCanvasElement > "u") + return e.src; + let t; + if (e instanceof HTMLCanvasElement) + t = e; + else { + Un === void 0 && (Un = nr("canvas")), Un.width = e.width, Un.height = e.height; + const n = Un.getContext("2d"); + e instanceof ImageData ? n.putImageData(e, 0, 0) : n.drawImage(e, 0, 0, e.width, e.height), t = Un; + } + return t.width > 2048 || t.height > 2048 ? (console.warn("THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons", e), t.toDataURL("image/jpeg", 0.6)) : t.toDataURL("image/png"); + } + static sRGBToLinear(e) { + if (typeof HTMLImageElement < "u" && e instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && e instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && e instanceof ImageBitmap) { + const t = nr("canvas"); + t.width = e.width, t.height = e.height; + const n = t.getContext("2d"); + n.drawImage(e, 0, 0, e.width, e.height); + const r = n.getImageData(0, 0, e.width, e.height), s = r.data; + for (let o = 0; o < s.length; o++) + s[o] = Jn(s[o] / 255) * 255; + return n.putImageData(r, 0, 0), t; + } else if (e.data) { + const t = e.data.slice(0); + for (let n = 0; n < t.length; n++) + t instanceof Uint8Array || t instanceof Uint8ClampedArray ? t[n] = Math.floor(Jn(t[n] / 255) * 255) : t[n] = Jn(t[n]); + return { + data: t, + width: e.width, + height: e.height + }; + } else + return console.warn("THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied."), e; + } +} +let Kl = 0; +class Eo { + constructor(e = null) { + this.isSource = !0, Object.defineProperty(this, "id", { value: Kl++ }), this.uuid = vi(), this.data = e, this.version = 0; + } + set needsUpdate(e) { + e === !0 && this.version++; + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + if (!t && e.images[this.uuid] !== void 0) + return e.images[this.uuid]; + const n = { + uuid: this.uuid, + url: "" + }, r = this.data; + if (r !== null) { + let s; + if (Array.isArray(r)) { + s = []; + for (let o = 0, a = r.length; o < a; o++) + r[o].isDataTexture ? s.push(yr(r[o].image)) : s.push(yr(r[o])); + } else + s = yr(r); + n.url = s; + } + return t || (e.images[this.uuid] = n), n; + } +} +function yr(i) { + return typeof HTMLImageElement < "u" && i instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && i instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && i instanceof ImageBitmap ? So.getDataURL(i) : i.data ? { + data: Array.from(i.data), + width: i.width, + height: i.height, + type: i.data.constructor.name + } : (console.warn("THREE.Texture: Unable to serialize Texture."), {}); +} +let Zl = 0; +class bt extends Rn { + constructor(e = bt.DEFAULT_IMAGE, t = bt.DEFAULT_MAPPING, n = Nt, r = Nt, s = Rt, o = _i, a = Ft, l = cn, c = bt.DEFAULT_ANISOTROPY, h = Ct) { + super(), this.isTexture = !0, Object.defineProperty(this, "id", { value: Zl++ }), this.uuid = vi(), this.name = "", this.source = new Eo(e), this.mipmaps = [], this.mapping = t, this.channel = 0, this.wrapS = n, this.wrapT = r, this.magFilter = s, this.minFilter = o, this.anisotropy = c, this.format = a, this.internalFormat = null, this.type = l, this.offset = new Ie(0, 0), this.repeat = new Ie(1, 1), this.center = new Ie(0, 0), this.rotation = 0, this.matrixAutoUpdate = !0, this.matrix = new Ve(), this.generateMipmaps = !0, this.premultiplyAlpha = !1, this.flipY = !0, this.unpackAlignment = 4, typeof h == "string" ? this.colorSpace = h : (mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace = h === Tn ? ht : Ct), this.userData = {}, this.version = 0, this.onUpdate = null, this.isRenderTargetTexture = !1, this.needsPMREMUpdate = !1; + } + get image() { + return this.source.data; + } + set image(e = null) { + this.source.data = e; + } + updateMatrix() { + this.matrix.setUvTransform(this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.name = e.name, this.source = e.source, this.mipmaps = e.mipmaps.slice(0), this.mapping = e.mapping, this.channel = e.channel, this.wrapS = e.wrapS, this.wrapT = e.wrapT, this.magFilter = e.magFilter, this.minFilter = e.minFilter, this.anisotropy = e.anisotropy, this.format = e.format, this.internalFormat = e.internalFormat, this.type = e.type, this.offset.copy(e.offset), this.repeat.copy(e.repeat), this.center.copy(e.center), this.rotation = e.rotation, this.matrixAutoUpdate = e.matrixAutoUpdate, this.matrix.copy(e.matrix), this.generateMipmaps = e.generateMipmaps, this.premultiplyAlpha = e.premultiplyAlpha, this.flipY = e.flipY, this.unpackAlignment = e.unpackAlignment, this.colorSpace = e.colorSpace, this.userData = JSON.parse(JSON.stringify(e.userData)), this.needsUpdate = !0, this; + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + if (!t && e.textures[this.uuid] !== void 0) + return e.textures[this.uuid]; + const n = { + metadata: { + version: 4.6, + type: "Texture", + generator: "Texture.toJSON" + }, + uuid: this.uuid, + name: this.name, + image: this.source.toJSON(e).uuid, + mapping: this.mapping, + channel: this.channel, + repeat: [this.repeat.x, this.repeat.y], + offset: [this.offset.x, this.offset.y], + center: [this.center.x, this.center.y], + rotation: this.rotation, + wrap: [this.wrapS, this.wrapT], + format: this.format, + internalFormat: this.internalFormat, + type: this.type, + colorSpace: this.colorSpace, + minFilter: this.minFilter, + magFilter: this.magFilter, + anisotropy: this.anisotropy, + flipY: this.flipY, + generateMipmaps: this.generateMipmaps, + premultiplyAlpha: this.premultiplyAlpha, + unpackAlignment: this.unpackAlignment + }; + return Object.keys(this.userData).length > 0 && (n.userData = this.userData), t || (e.textures[this.uuid] = n), n; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } + transformUv(e) { + if (this.mapping !== lo) return e; + if (e.applyMatrix3(this.matrix), e.x < 0 || e.x > 1) + switch (this.wrapS) { + case Qr: + e.x = e.x - Math.floor(e.x); + break; + case Nt: + e.x = e.x < 0 ? 0 : 1; + break; + case es: + Math.abs(Math.floor(e.x) % 2) === 1 ? e.x = Math.ceil(e.x) - e.x : e.x = e.x - Math.floor(e.x); + break; + } + if (e.y < 0 || e.y > 1) + switch (this.wrapT) { + case Qr: + e.y = e.y - Math.floor(e.y); + break; + case Nt: + e.y = e.y < 0 ? 0 : 1; + break; + case es: + Math.abs(Math.floor(e.y) % 2) === 1 ? e.y = Math.ceil(e.y) - e.y : e.y = e.y - Math.floor(e.y); + break; + } + return this.flipY && (e.y = 1 - e.y), e; + } + set needsUpdate(e) { + e === !0 && (this.version++, this.source.needsUpdate = !0); + } + get encoding() { + return mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace === ht ? Tn : go; + } + set encoding(e) { + mi("THREE.Texture: Property .encoding has been replaced by .colorSpace."), this.colorSpace = e === Tn ? ht : Ct; + } +} +bt.DEFAULT_IMAGE = null; +bt.DEFAULT_MAPPING = lo; +bt.DEFAULT_ANISOTROPY = 1; +class $e { + constructor(e = 0, t = 0, n = 0, r = 1) { + $e.prototype.isVector4 = !0, this.x = e, this.y = t, this.z = n, this.w = r; + } + get width() { + return this.z; + } + set width(e) { + this.z = e; + } + get height() { + return this.w; + } + set height(e) { + this.w = e; + } + set(e, t, n, r) { + return this.x = e, this.y = t, this.z = n, this.w = r, this; + } + setScalar(e) { + return this.x = e, this.y = e, this.z = e, this.w = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setZ(e) { + return this.z = e, this; + } + setW(e) { + return this.w = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + case 2: + this.z = t; + break; + case 3: + this.w = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + case 2: + return this.z; + case 3: + return this.w; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y, this.z, this.w); + } + copy(e) { + return this.x = e.x, this.y = e.y, this.z = e.z, this.w = e.w !== void 0 ? e.w : 1, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this.z += e.z, this.w += e.w, this; + } + addScalar(e) { + return this.x += e, this.y += e, this.z += e, this.w += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this.z = e.z + t.z, this.w = e.w + t.w, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this.z += e.z * t, this.w += e.w * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this.z -= e.z, this.w -= e.w, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this.z -= e, this.w -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this.z = e.z - t.z, this.w = e.w - t.w, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this.z *= e.z, this.w *= e.w, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this.z *= e, this.w *= e, this; + } + applyMatrix4(e) { + const t = this.x, n = this.y, r = this.z, s = this.w, o = e.elements; + return this.x = o[0] * t + o[4] * n + o[8] * r + o[12] * s, this.y = o[1] * t + o[5] * n + o[9] * r + o[13] * s, this.z = o[2] * t + o[6] * n + o[10] * r + o[14] * s, this.w = o[3] * t + o[7] * n + o[11] * r + o[15] * s, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + setAxisAngleFromQuaternion(e) { + this.w = 2 * Math.acos(e.w); + const t = Math.sqrt(1 - e.w * e.w); + return t < 1e-4 ? (this.x = 1, this.y = 0, this.z = 0) : (this.x = e.x / t, this.y = e.y / t, this.z = e.z / t), this; + } + setAxisAngleFromRotationMatrix(e) { + let t, n, r, s; + const l = e.elements, c = l[0], h = l[4], d = l[8], p = l[1], m = l[5], g = l[9], v = l[2], f = l[6], u = l[10]; + if (Math.abs(h - p) < 0.01 && Math.abs(d - v) < 0.01 && Math.abs(g - f) < 0.01) { + if (Math.abs(h + p) < 0.1 && Math.abs(d + v) < 0.1 && Math.abs(g + f) < 0.1 && Math.abs(c + m + u - 3) < 0.1) + return this.set(1, 0, 0, 0), this; + t = Math.PI; + const S = (c + 1) / 2, R = (m + 1) / 2, D = (u + 1) / 2, C = (h + p) / 4, A = (d + v) / 4, W = (g + f) / 4; + return S > R && S > D ? S < 0.01 ? (n = 0, r = 0.707106781, s = 0.707106781) : (n = Math.sqrt(S), r = C / n, s = A / n) : R > D ? R < 0.01 ? (n = 0.707106781, r = 0, s = 0.707106781) : (r = Math.sqrt(R), n = C / r, s = W / r) : D < 0.01 ? (n = 0.707106781, r = 0.707106781, s = 0) : (s = Math.sqrt(D), n = A / s, r = W / s), this.set(n, r, s, t), this; + } + let b = Math.sqrt((f - g) * (f - g) + (d - v) * (d - v) + (p - h) * (p - h)); + return Math.abs(b) < 1e-3 && (b = 1), this.x = (f - g) / b, this.y = (d - v) / b, this.z = (p - h) / b, this.w = Math.acos((c + m + u - 1) / 2), this; + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this.z = Math.min(this.z, e.z), this.w = Math.min(this.w, e.w), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this.z = Math.max(this.z, e.z), this.w = Math.max(this.w, e.w), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this.z = Math.max(e.z, Math.min(t.z, this.z)), this.w = Math.max(e.w, Math.min(t.w, this.w)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this.z = Math.max(e, Math.min(t, this.z)), this.w = Math.max(e, Math.min(t, this.w)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this.z = Math.floor(this.z), this.w = Math.floor(this.w), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this.z = Math.ceil(this.z), this.w = Math.ceil(this.w), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this.z = Math.round(this.z), this.w = Math.round(this.w), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this.z = Math.trunc(this.z), this.w = Math.trunc(this.w), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this.z = -this.z, this.w = -this.w, this; + } + dot(e) { + return this.x * e.x + this.y * e.y + this.z * e.z + this.w * e.w; + } + lengthSq() { + return this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z) + Math.abs(this.w); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this.z += (e.z - this.z) * t, this.w += (e.w - this.w) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this.z = e.z + (t.z - e.z) * n, this.w = e.w + (t.w - e.w) * n, this; + } + equals(e) { + return e.x === this.x && e.y === this.y && e.z === this.z && e.w === this.w; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this.z = e[t + 2], this.w = e[t + 3], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e[t + 2] = this.z, e[t + 3] = this.w, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this.z = e.getZ(t), this.w = e.getW(t), this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this.z = Math.random(), this.w = Math.random(), this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y, yield this.z, yield this.w; + } +} +class $l extends Rn { + constructor(e = 1, t = 1, n = {}) { + super(), this.isRenderTarget = !0, this.width = e, this.height = t, this.depth = 1, this.scissor = new $e(0, 0, e, t), this.scissorTest = !1, this.viewport = new $e(0, 0, e, t); + const r = { width: e, height: t, depth: 1 }; + n.encoding !== void 0 && (mi("THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace."), n.colorSpace = n.encoding === Tn ? ht : Ct), n = Object.assign({ + generateMipmaps: !1, + internalFormat: null, + minFilter: Rt, + depthBuffer: !0, + stencilBuffer: !1, + depthTexture: null, + samples: 0 + }, n), this.texture = new bt(r, n.mapping, n.wrapS, n.wrapT, n.magFilter, n.minFilter, n.format, n.type, n.anisotropy, n.colorSpace), this.texture.isRenderTargetTexture = !0, this.texture.flipY = !1, this.texture.generateMipmaps = n.generateMipmaps, this.texture.internalFormat = n.internalFormat, this.depthBuffer = n.depthBuffer, this.stencilBuffer = n.stencilBuffer, this.depthTexture = n.depthTexture, this.samples = n.samples; + } + setSize(e, t, n = 1) { + (this.width !== e || this.height !== t || this.depth !== n) && (this.width = e, this.height = t, this.depth = n, this.texture.image.width = e, this.texture.image.height = t, this.texture.image.depth = n, this.dispose()), this.viewport.set(0, 0, e, t), this.scissor.set(0, 0, e, t); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.width = e.width, this.height = e.height, this.depth = e.depth, this.scissor.copy(e.scissor), this.scissorTest = e.scissorTest, this.viewport.copy(e.viewport), this.texture = e.texture.clone(), this.texture.isRenderTargetTexture = !0; + const t = Object.assign({}, e.texture.image); + return this.texture.source = new Eo(t), this.depthBuffer = e.depthBuffer, this.stencilBuffer = e.stencilBuffer, e.depthTexture !== null && (this.depthTexture = e.depthTexture.clone()), this.samples = e.samples, this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +class bn extends $l { + constructor(e = 1, t = 1, n = {}) { + super(e, t, n), this.isWebGLRenderTarget = !0; + } +} +class yo extends bt { + constructor(e = null, t = 1, n = 1, r = 1) { + super(null), this.isDataArrayTexture = !0, this.image = { data: e, width: t, height: n, depth: r }, this.magFilter = gt, this.minFilter = gt, this.wrapR = Nt, this.generateMipmaps = !1, this.flipY = !1, this.unpackAlignment = 1; + } +} +class Jl extends bt { + constructor(e = null, t = 1, n = 1, r = 1) { + super(null), this.isData3DTexture = !0, this.image = { data: e, width: t, height: n, depth: r }, this.magFilter = gt, this.minFilter = gt, this.wrapR = Nt, this.generateMipmaps = !1, this.flipY = !1, this.unpackAlignment = 1; + } +} +class An { + constructor(e = 0, t = 0, n = 0, r = 1) { + this.isQuaternion = !0, this._x = e, this._y = t, this._z = n, this._w = r; + } + static slerpFlat(e, t, n, r, s, o, a) { + let l = n[r + 0], c = n[r + 1], h = n[r + 2], d = n[r + 3]; + const p = s[o + 0], m = s[o + 1], g = s[o + 2], v = s[o + 3]; + if (a === 0) { + e[t + 0] = l, e[t + 1] = c, e[t + 2] = h, e[t + 3] = d; + return; + } + if (a === 1) { + e[t + 0] = p, e[t + 1] = m, e[t + 2] = g, e[t + 3] = v; + return; + } + if (d !== v || l !== p || c !== m || h !== g) { + let f = 1 - a; + const u = l * p + c * m + h * g + d * v, b = u >= 0 ? 1 : -1, S = 1 - u * u; + if (S > Number.EPSILON) { + const D = Math.sqrt(S), C = Math.atan2(D, u * b); + f = Math.sin(f * C) / D, a = Math.sin(a * C) / D; + } + const R = a * b; + if (l = l * f + p * R, c = c * f + m * R, h = h * f + g * R, d = d * f + v * R, f === 1 - a) { + const D = 1 / Math.sqrt(l * l + c * c + h * h + d * d); + l *= D, c *= D, h *= D, d *= D; + } + } + e[t] = l, e[t + 1] = c, e[t + 2] = h, e[t + 3] = d; + } + static multiplyQuaternionsFlat(e, t, n, r, s, o) { + const a = n[r], l = n[r + 1], c = n[r + 2], h = n[r + 3], d = s[o], p = s[o + 1], m = s[o + 2], g = s[o + 3]; + return e[t] = a * g + h * d + l * m - c * p, e[t + 1] = l * g + h * p + c * d - a * m, e[t + 2] = c * g + h * m + a * p - l * d, e[t + 3] = h * g - a * d - l * p - c * m, e; + } + get x() { + return this._x; + } + set x(e) { + this._x = e, this._onChangeCallback(); + } + get y() { + return this._y; + } + set y(e) { + this._y = e, this._onChangeCallback(); + } + get z() { + return this._z; + } + set z(e) { + this._z = e, this._onChangeCallback(); + } + get w() { + return this._w; + } + set w(e) { + this._w = e, this._onChangeCallback(); + } + set(e, t, n, r) { + return this._x = e, this._y = t, this._z = n, this._w = r, this._onChangeCallback(), this; + } + clone() { + return new this.constructor(this._x, this._y, this._z, this._w); + } + copy(e) { + return this._x = e.x, this._y = e.y, this._z = e.z, this._w = e.w, this._onChangeCallback(), this; + } + setFromEuler(e, t = !0) { + const n = e._x, r = e._y, s = e._z, o = e._order, a = Math.cos, l = Math.sin, c = a(n / 2), h = a(r / 2), d = a(s / 2), p = l(n / 2), m = l(r / 2), g = l(s / 2); + switch (o) { + case "XYZ": + this._x = p * h * d + c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d - p * m * g; + break; + case "YXZ": + this._x = p * h * d + c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d + p * m * g; + break; + case "ZXY": + this._x = p * h * d - c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d - p * m * g; + break; + case "ZYX": + this._x = p * h * d - c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d + p * m * g; + break; + case "YZX": + this._x = p * h * d + c * m * g, this._y = c * m * d + p * h * g, this._z = c * h * g - p * m * d, this._w = c * h * d - p * m * g; + break; + case "XZY": + this._x = p * h * d - c * m * g, this._y = c * m * d - p * h * g, this._z = c * h * g + p * m * d, this._w = c * h * d + p * m * g; + break; + default: + console.warn("THREE.Quaternion: .setFromEuler() encountered an unknown order: " + o); + } + return t === !0 && this._onChangeCallback(), this; + } + setFromAxisAngle(e, t) { + const n = t / 2, r = Math.sin(n); + return this._x = e.x * r, this._y = e.y * r, this._z = e.z * r, this._w = Math.cos(n), this._onChangeCallback(), this; + } + setFromRotationMatrix(e) { + const t = e.elements, n = t[0], r = t[4], s = t[8], o = t[1], a = t[5], l = t[9], c = t[2], h = t[6], d = t[10], p = n + a + d; + if (p > 0) { + const m = 0.5 / Math.sqrt(p + 1); + this._w = 0.25 / m, this._x = (h - l) * m, this._y = (s - c) * m, this._z = (o - r) * m; + } else if (n > a && n > d) { + const m = 2 * Math.sqrt(1 + n - a - d); + this._w = (h - l) / m, this._x = 0.25 * m, this._y = (r + o) / m, this._z = (s + c) / m; + } else if (a > d) { + const m = 2 * Math.sqrt(1 + a - n - d); + this._w = (s - c) / m, this._x = (r + o) / m, this._y = 0.25 * m, this._z = (l + h) / m; + } else { + const m = 2 * Math.sqrt(1 + d - n - a); + this._w = (o - r) / m, this._x = (s + c) / m, this._y = (l + h) / m, this._z = 0.25 * m; + } + return this._onChangeCallback(), this; + } + setFromUnitVectors(e, t) { + let n = e.dot(t) + 1; + return n < Number.EPSILON ? (n = 0, Math.abs(e.x) > Math.abs(e.z) ? (this._x = -e.y, this._y = e.x, this._z = 0, this._w = n) : (this._x = 0, this._y = -e.z, this._z = e.y, this._w = n)) : (this._x = e.y * t.z - e.z * t.y, this._y = e.z * t.x - e.x * t.z, this._z = e.x * t.y - e.y * t.x, this._w = n), this.normalize(); + } + angleTo(e) { + return 2 * Math.acos(Math.abs(vt(this.dot(e), -1, 1))); + } + rotateTowards(e, t) { + const n = this.angleTo(e); + if (n === 0) return this; + const r = Math.min(1, t / n); + return this.slerp(e, r), this; + } + identity() { + return this.set(0, 0, 0, 1); + } + invert() { + return this.conjugate(); + } + conjugate() { + return this._x *= -1, this._y *= -1, this._z *= -1, this._onChangeCallback(), this; + } + dot(e) { + return this._x * e._x + this._y * e._y + this._z * e._z + this._w * e._w; + } + lengthSq() { + return this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w; + } + length() { + return Math.sqrt(this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w); + } + normalize() { + let e = this.length(); + return e === 0 ? (this._x = 0, this._y = 0, this._z = 0, this._w = 1) : (e = 1 / e, this._x = this._x * e, this._y = this._y * e, this._z = this._z * e, this._w = this._w * e), this._onChangeCallback(), this; + } + multiply(e) { + return this.multiplyQuaternions(this, e); + } + premultiply(e) { + return this.multiplyQuaternions(e, this); + } + multiplyQuaternions(e, t) { + const n = e._x, r = e._y, s = e._z, o = e._w, a = t._x, l = t._y, c = t._z, h = t._w; + return this._x = n * h + o * a + r * c - s * l, this._y = r * h + o * l + s * a - n * c, this._z = s * h + o * c + n * l - r * a, this._w = o * h - n * a - r * l - s * c, this._onChangeCallback(), this; + } + slerp(e, t) { + if (t === 0) return this; + if (t === 1) return this.copy(e); + const n = this._x, r = this._y, s = this._z, o = this._w; + let a = o * e._w + n * e._x + r * e._y + s * e._z; + if (a < 0 ? (this._w = -e._w, this._x = -e._x, this._y = -e._y, this._z = -e._z, a = -a) : this.copy(e), a >= 1) + return this._w = o, this._x = n, this._y = r, this._z = s, this; + const l = 1 - a * a; + if (l <= Number.EPSILON) { + const m = 1 - t; + return this._w = m * o + t * this._w, this._x = m * n + t * this._x, this._y = m * r + t * this._y, this._z = m * s + t * this._z, this.normalize(), this; + } + const c = Math.sqrt(l), h = Math.atan2(c, a), d = Math.sin((1 - t) * h) / c, p = Math.sin(t * h) / c; + return this._w = o * d + this._w * p, this._x = n * d + this._x * p, this._y = r * d + this._y * p, this._z = s * d + this._z * p, this._onChangeCallback(), this; + } + slerpQuaternions(e, t, n) { + return this.copy(e).slerp(t, n); + } + random() { + const e = Math.random(), t = Math.sqrt(1 - e), n = Math.sqrt(e), r = 2 * Math.PI * Math.random(), s = 2 * Math.PI * Math.random(); + return this.set( + t * Math.cos(r), + n * Math.sin(s), + n * Math.cos(s), + t * Math.sin(r) + ); + } + equals(e) { + return e._x === this._x && e._y === this._y && e._z === this._z && e._w === this._w; + } + fromArray(e, t = 0) { + return this._x = e[t], this._y = e[t + 1], this._z = e[t + 2], this._w = e[t + 3], this._onChangeCallback(), this; + } + toArray(e = [], t = 0) { + return e[t] = this._x, e[t + 1] = this._y, e[t + 2] = this._z, e[t + 3] = this._w, e; + } + fromBufferAttribute(e, t) { + return this._x = e.getX(t), this._y = e.getY(t), this._z = e.getZ(t), this._w = e.getW(t), this._onChangeCallback(), this; + } + toJSON() { + return this.toArray(); + } + _onChange(e) { + return this._onChangeCallback = e, this; + } + _onChangeCallback() { + } + *[Symbol.iterator]() { + yield this._x, yield this._y, yield this._z, yield this._w; + } +} +class P { + constructor(e = 0, t = 0, n = 0) { + P.prototype.isVector3 = !0, this.x = e, this.y = t, this.z = n; + } + set(e, t, n) { + return n === void 0 && (n = this.z), this.x = e, this.y = t, this.z = n, this; + } + setScalar(e) { + return this.x = e, this.y = e, this.z = e, this; + } + setX(e) { + return this.x = e, this; + } + setY(e) { + return this.y = e, this; + } + setZ(e) { + return this.z = e, this; + } + setComponent(e, t) { + switch (e) { + case 0: + this.x = t; + break; + case 1: + this.y = t; + break; + case 2: + this.z = t; + break; + default: + throw new Error("index is out of range: " + e); + } + return this; + } + getComponent(e) { + switch (e) { + case 0: + return this.x; + case 1: + return this.y; + case 2: + return this.z; + default: + throw new Error("index is out of range: " + e); + } + } + clone() { + return new this.constructor(this.x, this.y, this.z); + } + copy(e) { + return this.x = e.x, this.y = e.y, this.z = e.z, this; + } + add(e) { + return this.x += e.x, this.y += e.y, this.z += e.z, this; + } + addScalar(e) { + return this.x += e, this.y += e, this.z += e, this; + } + addVectors(e, t) { + return this.x = e.x + t.x, this.y = e.y + t.y, this.z = e.z + t.z, this; + } + addScaledVector(e, t) { + return this.x += e.x * t, this.y += e.y * t, this.z += e.z * t, this; + } + sub(e) { + return this.x -= e.x, this.y -= e.y, this.z -= e.z, this; + } + subScalar(e) { + return this.x -= e, this.y -= e, this.z -= e, this; + } + subVectors(e, t) { + return this.x = e.x - t.x, this.y = e.y - t.y, this.z = e.z - t.z, this; + } + multiply(e) { + return this.x *= e.x, this.y *= e.y, this.z *= e.z, this; + } + multiplyScalar(e) { + return this.x *= e, this.y *= e, this.z *= e, this; + } + multiplyVectors(e, t) { + return this.x = e.x * t.x, this.y = e.y * t.y, this.z = e.z * t.z, this; + } + applyEuler(e) { + return this.applyQuaternion(aa.setFromEuler(e)); + } + applyAxisAngle(e, t) { + return this.applyQuaternion(aa.setFromAxisAngle(e, t)); + } + applyMatrix3(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements; + return this.x = s[0] * t + s[3] * n + s[6] * r, this.y = s[1] * t + s[4] * n + s[7] * r, this.z = s[2] * t + s[5] * n + s[8] * r, this; + } + applyNormalMatrix(e) { + return this.applyMatrix3(e).normalize(); + } + applyMatrix4(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements, o = 1 / (s[3] * t + s[7] * n + s[11] * r + s[15]); + return this.x = (s[0] * t + s[4] * n + s[8] * r + s[12]) * o, this.y = (s[1] * t + s[5] * n + s[9] * r + s[13]) * o, this.z = (s[2] * t + s[6] * n + s[10] * r + s[14]) * o, this; + } + applyQuaternion(e) { + const t = this.x, n = this.y, r = this.z, s = e.x, o = e.y, a = e.z, l = e.w, c = 2 * (o * r - a * n), h = 2 * (a * t - s * r), d = 2 * (s * n - o * t); + return this.x = t + l * c + o * d - a * h, this.y = n + l * h + a * c - s * d, this.z = r + l * d + s * h - o * c, this; + } + project(e) { + return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix); + } + unproject(e) { + return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld); + } + transformDirection(e) { + const t = this.x, n = this.y, r = this.z, s = e.elements; + return this.x = s[0] * t + s[4] * n + s[8] * r, this.y = s[1] * t + s[5] * n + s[9] * r, this.z = s[2] * t + s[6] * n + s[10] * r, this.normalize(); + } + divide(e) { + return this.x /= e.x, this.y /= e.y, this.z /= e.z, this; + } + divideScalar(e) { + return this.multiplyScalar(1 / e); + } + min(e) { + return this.x = Math.min(this.x, e.x), this.y = Math.min(this.y, e.y), this.z = Math.min(this.z, e.z), this; + } + max(e) { + return this.x = Math.max(this.x, e.x), this.y = Math.max(this.y, e.y), this.z = Math.max(this.z, e.z), this; + } + clamp(e, t) { + return this.x = Math.max(e.x, Math.min(t.x, this.x)), this.y = Math.max(e.y, Math.min(t.y, this.y)), this.z = Math.max(e.z, Math.min(t.z, this.z)), this; + } + clampScalar(e, t) { + return this.x = Math.max(e, Math.min(t, this.x)), this.y = Math.max(e, Math.min(t, this.y)), this.z = Math.max(e, Math.min(t, this.z)), this; + } + clampLength(e, t) { + const n = this.length(); + return this.divideScalar(n || 1).multiplyScalar(Math.max(e, Math.min(t, n))); + } + floor() { + return this.x = Math.floor(this.x), this.y = Math.floor(this.y), this.z = Math.floor(this.z), this; + } + ceil() { + return this.x = Math.ceil(this.x), this.y = Math.ceil(this.y), this.z = Math.ceil(this.z), this; + } + round() { + return this.x = Math.round(this.x), this.y = Math.round(this.y), this.z = Math.round(this.z), this; + } + roundToZero() { + return this.x = Math.trunc(this.x), this.y = Math.trunc(this.y), this.z = Math.trunc(this.z), this; + } + negate() { + return this.x = -this.x, this.y = -this.y, this.z = -this.z, this; + } + dot(e) { + return this.x * e.x + this.y * e.y + this.z * e.z; + } + // TODO lengthSquared? + lengthSq() { + return this.x * this.x + this.y * this.y + this.z * this.z; + } + length() { + return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z); + } + manhattanLength() { + return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z); + } + normalize() { + return this.divideScalar(this.length() || 1); + } + setLength(e) { + return this.normalize().multiplyScalar(e); + } + lerp(e, t) { + return this.x += (e.x - this.x) * t, this.y += (e.y - this.y) * t, this.z += (e.z - this.z) * t, this; + } + lerpVectors(e, t, n) { + return this.x = e.x + (t.x - e.x) * n, this.y = e.y + (t.y - e.y) * n, this.z = e.z + (t.z - e.z) * n, this; + } + cross(e) { + return this.crossVectors(this, e); + } + crossVectors(e, t) { + const n = e.x, r = e.y, s = e.z, o = t.x, a = t.y, l = t.z; + return this.x = r * l - s * a, this.y = s * o - n * l, this.z = n * a - r * o, this; + } + projectOnVector(e) { + const t = e.lengthSq(); + if (t === 0) return this.set(0, 0, 0); + const n = e.dot(this) / t; + return this.copy(e).multiplyScalar(n); + } + projectOnPlane(e) { + return Tr.copy(this).projectOnVector(e), this.sub(Tr); + } + reflect(e) { + return this.sub(Tr.copy(e).multiplyScalar(2 * this.dot(e))); + } + angleTo(e) { + const t = Math.sqrt(this.lengthSq() * e.lengthSq()); + if (t === 0) return Math.PI / 2; + const n = this.dot(e) / t; + return Math.acos(vt(n, -1, 1)); + } + distanceTo(e) { + return Math.sqrt(this.distanceToSquared(e)); + } + distanceToSquared(e) { + const t = this.x - e.x, n = this.y - e.y, r = this.z - e.z; + return t * t + n * n + r * r; + } + manhattanDistanceTo(e) { + return Math.abs(this.x - e.x) + Math.abs(this.y - e.y) + Math.abs(this.z - e.z); + } + setFromSpherical(e) { + return this.setFromSphericalCoords(e.radius, e.phi, e.theta); + } + setFromSphericalCoords(e, t, n) { + const r = Math.sin(t) * e; + return this.x = r * Math.sin(n), this.y = Math.cos(t) * e, this.z = r * Math.cos(n), this; + } + setFromCylindrical(e) { + return this.setFromCylindricalCoords(e.radius, e.theta, e.y); + } + setFromCylindricalCoords(e, t, n) { + return this.x = e * Math.sin(t), this.y = n, this.z = e * Math.cos(t), this; + } + setFromMatrixPosition(e) { + const t = e.elements; + return this.x = t[12], this.y = t[13], this.z = t[14], this; + } + setFromMatrixScale(e) { + const t = this.setFromMatrixColumn(e, 0).length(), n = this.setFromMatrixColumn(e, 1).length(), r = this.setFromMatrixColumn(e, 2).length(); + return this.x = t, this.y = n, this.z = r, this; + } + setFromMatrixColumn(e, t) { + return this.fromArray(e.elements, t * 4); + } + setFromMatrix3Column(e, t) { + return this.fromArray(e.elements, t * 3); + } + setFromEuler(e) { + return this.x = e._x, this.y = e._y, this.z = e._z, this; + } + setFromColor(e) { + return this.x = e.r, this.y = e.g, this.z = e.b, this; + } + equals(e) { + return e.x === this.x && e.y === this.y && e.z === this.z; + } + fromArray(e, t = 0) { + return this.x = e[t], this.y = e[t + 1], this.z = e[t + 2], this; + } + toArray(e = [], t = 0) { + return e[t] = this.x, e[t + 1] = this.y, e[t + 2] = this.z, e; + } + fromBufferAttribute(e, t) { + return this.x = e.getX(t), this.y = e.getY(t), this.z = e.getZ(t), this; + } + random() { + return this.x = Math.random(), this.y = Math.random(), this.z = Math.random(), this; + } + randomDirection() { + const e = (Math.random() - 0.5) * 2, t = Math.random() * Math.PI * 2, n = Math.sqrt(1 - e ** 2); + return this.x = n * Math.cos(t), this.y = n * Math.sin(t), this.z = e, this; + } + *[Symbol.iterator]() { + yield this.x, yield this.y, yield this.z; + } +} +const Tr = /* @__PURE__ */ new P(), aa = /* @__PURE__ */ new An(); +class Cn { + constructor(e = new P(1 / 0, 1 / 0, 1 / 0), t = new P(-1 / 0, -1 / 0, -1 / 0)) { + this.isBox3 = !0, this.min = e, this.max = t; + } + set(e, t) { + return this.min.copy(e), this.max.copy(t), this; + } + setFromArray(e) { + this.makeEmpty(); + for (let t = 0, n = e.length; t < n; t += 3) + this.expandByPoint(Lt.fromArray(e, t)); + return this; + } + setFromBufferAttribute(e) { + this.makeEmpty(); + for (let t = 0, n = e.count; t < n; t++) + this.expandByPoint(Lt.fromBufferAttribute(e, t)); + return this; + } + setFromPoints(e) { + this.makeEmpty(); + for (let t = 0, n = e.length; t < n; t++) + this.expandByPoint(e[t]); + return this; + } + setFromCenterAndSize(e, t) { + const n = Lt.copy(t).multiplyScalar(0.5); + return this.min.copy(e).sub(n), this.max.copy(e).add(n), this; + } + setFromObject(e, t = !1) { + return this.makeEmpty(), this.expandByObject(e, t); + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.min.copy(e.min), this.max.copy(e.max), this; + } + makeEmpty() { + return this.min.x = this.min.y = this.min.z = 1 / 0, this.max.x = this.max.y = this.max.z = -1 / 0, this; + } + isEmpty() { + return this.max.x < this.min.x || this.max.y < this.min.y || this.max.z < this.min.z; + } + getCenter(e) { + return this.isEmpty() ? e.set(0, 0, 0) : e.addVectors(this.min, this.max).multiplyScalar(0.5); + } + getSize(e) { + return this.isEmpty() ? e.set(0, 0, 0) : e.subVectors(this.max, this.min); + } + expandByPoint(e) { + return this.min.min(e), this.max.max(e), this; + } + expandByVector(e) { + return this.min.sub(e), this.max.add(e), this; + } + expandByScalar(e) { + return this.min.addScalar(-e), this.max.addScalar(e), this; + } + expandByObject(e, t = !1) { + e.updateWorldMatrix(!1, !1); + const n = e.geometry; + if (n !== void 0) { + const s = n.getAttribute("position"); + if (t === !0 && s !== void 0 && e.isInstancedMesh !== !0) + for (let o = 0, a = s.count; o < a; o++) + e.isMesh === !0 ? e.getVertexPosition(o, Lt) : Lt.fromBufferAttribute(s, o), Lt.applyMatrix4(e.matrixWorld), this.expandByPoint(Lt); + else + e.boundingBox !== void 0 ? (e.boundingBox === null && e.computeBoundingBox(), bi.copy(e.boundingBox)) : (n.boundingBox === null && n.computeBoundingBox(), bi.copy(n.boundingBox)), bi.applyMatrix4(e.matrixWorld), this.union(bi); + } + const r = e.children; + for (let s = 0, o = r.length; s < o; s++) + this.expandByObject(r[s], t); + return this; + } + containsPoint(e) { + return !(e.x < this.min.x || e.x > this.max.x || e.y < this.min.y || e.y > this.max.y || e.z < this.min.z || e.z > this.max.z); + } + containsBox(e) { + return this.min.x <= e.min.x && e.max.x <= this.max.x && this.min.y <= e.min.y && e.max.y <= this.max.y && this.min.z <= e.min.z && e.max.z <= this.max.z; + } + getParameter(e, t) { + return t.set( + (e.x - this.min.x) / (this.max.x - this.min.x), + (e.y - this.min.y) / (this.max.y - this.min.y), + (e.z - this.min.z) / (this.max.z - this.min.z) + ); + } + intersectsBox(e) { + return !(e.max.x < this.min.x || e.min.x > this.max.x || e.max.y < this.min.y || e.min.y > this.max.y || e.max.z < this.min.z || e.min.z > this.max.z); + } + intersectsSphere(e) { + return this.clampPoint(e.center, Lt), Lt.distanceToSquared(e.center) <= e.radius * e.radius; + } + intersectsPlane(e) { + let t, n; + return e.normal.x > 0 ? (t = e.normal.x * this.min.x, n = e.normal.x * this.max.x) : (t = e.normal.x * this.max.x, n = e.normal.x * this.min.x), e.normal.y > 0 ? (t += e.normal.y * this.min.y, n += e.normal.y * this.max.y) : (t += e.normal.y * this.max.y, n += e.normal.y * this.min.y), e.normal.z > 0 ? (t += e.normal.z * this.min.z, n += e.normal.z * this.max.z) : (t += e.normal.z * this.max.z, n += e.normal.z * this.min.z), t <= -e.constant && n >= -e.constant; + } + intersectsTriangle(e) { + if (this.isEmpty()) + return !1; + this.getCenter(li), Ai.subVectors(this.max, li), In.subVectors(e.a, li), Nn.subVectors(e.b, li), Fn.subVectors(e.c, li), Jt.subVectors(Nn, In), Qt.subVectors(Fn, Nn), mn.subVectors(In, Fn); + let t = [ + 0, + -Jt.z, + Jt.y, + 0, + -Qt.z, + Qt.y, + 0, + -mn.z, + mn.y, + Jt.z, + 0, + -Jt.x, + Qt.z, + 0, + -Qt.x, + mn.z, + 0, + -mn.x, + -Jt.y, + Jt.x, + 0, + -Qt.y, + Qt.x, + 0, + -mn.y, + mn.x, + 0 + ]; + return !br(t, In, Nn, Fn, Ai) || (t = [1, 0, 0, 0, 1, 0, 0, 0, 1], !br(t, In, Nn, Fn, Ai)) ? !1 : (wi.crossVectors(Jt, Qt), t = [wi.x, wi.y, wi.z], br(t, In, Nn, Fn, Ai)); + } + clampPoint(e, t) { + return t.copy(e).clamp(this.min, this.max); + } + distanceToPoint(e) { + return this.clampPoint(e, Lt).distanceTo(e); + } + getBoundingSphere(e) { + return this.isEmpty() ? e.makeEmpty() : (this.getCenter(e.center), e.radius = this.getSize(Lt).length() * 0.5), e; + } + intersect(e) { + return this.min.max(e.min), this.max.min(e.max), this.isEmpty() && this.makeEmpty(), this; + } + union(e) { + return this.min.min(e.min), this.max.max(e.max), this; + } + applyMatrix4(e) { + return this.isEmpty() ? this : (kt[0].set(this.min.x, this.min.y, this.min.z).applyMatrix4(e), kt[1].set(this.min.x, this.min.y, this.max.z).applyMatrix4(e), kt[2].set(this.min.x, this.max.y, this.min.z).applyMatrix4(e), kt[3].set(this.min.x, this.max.y, this.max.z).applyMatrix4(e), kt[4].set(this.max.x, this.min.y, this.min.z).applyMatrix4(e), kt[5].set(this.max.x, this.min.y, this.max.z).applyMatrix4(e), kt[6].set(this.max.x, this.max.y, this.min.z).applyMatrix4(e), kt[7].set(this.max.x, this.max.y, this.max.z).applyMatrix4(e), this.setFromPoints(kt), this); + } + translate(e) { + return this.min.add(e), this.max.add(e), this; + } + equals(e) { + return e.min.equals(this.min) && e.max.equals(this.max); + } +} +const kt = [ + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P(), + /* @__PURE__ */ new P() +], Lt = /* @__PURE__ */ new P(), bi = /* @__PURE__ */ new Cn(), In = /* @__PURE__ */ new P(), Nn = /* @__PURE__ */ new P(), Fn = /* @__PURE__ */ new P(), Jt = /* @__PURE__ */ new P(), Qt = /* @__PURE__ */ new P(), mn = /* @__PURE__ */ new P(), li = /* @__PURE__ */ new P(), Ai = /* @__PURE__ */ new P(), wi = /* @__PURE__ */ new P(), _n = /* @__PURE__ */ new P(); +function br(i, e, t, n, r) { + for (let s = 0, o = i.length - 3; s <= o; s += 3) { + _n.fromArray(i, s); + const a = r.x * Math.abs(_n.x) + r.y * Math.abs(_n.y) + r.z * Math.abs(_n.z), l = e.dot(_n), c = t.dot(_n), h = n.dot(_n); + if (Math.max(-Math.max(l, c, h), Math.min(l, c, h)) > a) + return !1; + } + return !0; +} +const Ql = /* @__PURE__ */ new Cn(), ci = /* @__PURE__ */ new P(), Ar = /* @__PURE__ */ new P(); +class xi { + constructor(e = new P(), t = -1) { + this.isSphere = !0, this.center = e, this.radius = t; + } + set(e, t) { + return this.center.copy(e), this.radius = t, this; + } + setFromPoints(e, t) { + const n = this.center; + t !== void 0 ? n.copy(t) : Ql.setFromPoints(e).getCenter(n); + let r = 0; + for (let s = 0, o = e.length; s < o; s++) + r = Math.max(r, n.distanceToSquared(e[s])); + return this.radius = Math.sqrt(r), this; + } + copy(e) { + return this.center.copy(e.center), this.radius = e.radius, this; + } + isEmpty() { + return this.radius < 0; + } + makeEmpty() { + return this.center.set(0, 0, 0), this.radius = -1, this; + } + containsPoint(e) { + return e.distanceToSquared(this.center) <= this.radius * this.radius; + } + distanceToPoint(e) { + return e.distanceTo(this.center) - this.radius; + } + intersectsSphere(e) { + const t = this.radius + e.radius; + return e.center.distanceToSquared(this.center) <= t * t; + } + intersectsBox(e) { + return e.intersectsSphere(this); + } + intersectsPlane(e) { + return Math.abs(e.distanceToPoint(this.center)) <= this.radius; + } + clampPoint(e, t) { + const n = this.center.distanceToSquared(e); + return t.copy(e), n > this.radius * this.radius && (t.sub(this.center).normalize(), t.multiplyScalar(this.radius).add(this.center)), t; + } + getBoundingBox(e) { + return this.isEmpty() ? (e.makeEmpty(), e) : (e.set(this.center, this.center), e.expandByScalar(this.radius), e); + } + applyMatrix4(e) { + return this.center.applyMatrix4(e), this.radius = this.radius * e.getMaxScaleOnAxis(), this; + } + translate(e) { + return this.center.add(e), this; + } + expandByPoint(e) { + if (this.isEmpty()) + return this.center.copy(e), this.radius = 0, this; + ci.subVectors(e, this.center); + const t = ci.lengthSq(); + if (t > this.radius * this.radius) { + const n = Math.sqrt(t), r = (n - this.radius) * 0.5; + this.center.addScaledVector(ci, r / n), this.radius += r; + } + return this; + } + union(e) { + return e.isEmpty() ? this : this.isEmpty() ? (this.copy(e), this) : (this.center.equals(e.center) === !0 ? this.radius = Math.max(this.radius, e.radius) : (Ar.subVectors(e.center, this.center).setLength(e.radius), this.expandByPoint(ci.copy(e.center).add(Ar)), this.expandByPoint(ci.copy(e.center).sub(Ar))), this); + } + equals(e) { + return e.center.equals(this.center) && e.radius === this.radius; + } + clone() { + return new this.constructor().copy(this); + } +} +const Wt = /* @__PURE__ */ new P(), wr = /* @__PURE__ */ new P(), Ri = /* @__PURE__ */ new P(), en = /* @__PURE__ */ new P(), Rr = /* @__PURE__ */ new P(), Ci = /* @__PURE__ */ new P(), Cr = /* @__PURE__ */ new P(); +class To { + constructor(e = new P(), t = new P(0, 0, -1)) { + this.origin = e, this.direction = t; + } + set(e, t) { + return this.origin.copy(e), this.direction.copy(t), this; + } + copy(e) { + return this.origin.copy(e.origin), this.direction.copy(e.direction), this; + } + at(e, t) { + return t.copy(this.origin).addScaledVector(this.direction, e); + } + lookAt(e) { + return this.direction.copy(e).sub(this.origin).normalize(), this; + } + recast(e) { + return this.origin.copy(this.at(e, Wt)), this; + } + closestPointToPoint(e, t) { + t.subVectors(e, this.origin); + const n = t.dot(this.direction); + return n < 0 ? t.copy(this.origin) : t.copy(this.origin).addScaledVector(this.direction, n); + } + distanceToPoint(e) { + return Math.sqrt(this.distanceSqToPoint(e)); + } + distanceSqToPoint(e) { + const t = Wt.subVectors(e, this.origin).dot(this.direction); + return t < 0 ? this.origin.distanceToSquared(e) : (Wt.copy(this.origin).addScaledVector(this.direction, t), Wt.distanceToSquared(e)); + } + distanceSqToSegment(e, t, n, r) { + wr.copy(e).add(t).multiplyScalar(0.5), Ri.copy(t).sub(e).normalize(), en.copy(this.origin).sub(wr); + const s = e.distanceTo(t) * 0.5, o = -this.direction.dot(Ri), a = en.dot(this.direction), l = -en.dot(Ri), c = en.lengthSq(), h = Math.abs(1 - o * o); + let d, p, m, g; + if (h > 0) + if (d = o * l - a, p = o * a - l, g = s * h, d >= 0) + if (p >= -g) + if (p <= g) { + const v = 1 / h; + d *= v, p *= v, m = d * (d + o * p + 2 * a) + p * (o * d + p + 2 * l) + c; + } else + p = s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + else + p = -s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + else + p <= -g ? (d = Math.max(0, -(-o * s + a)), p = d > 0 ? -s : Math.min(Math.max(-s, -l), s), m = -d * d + p * (p + 2 * l) + c) : p <= g ? (d = 0, p = Math.min(Math.max(-s, -l), s), m = p * (p + 2 * l) + c) : (d = Math.max(0, -(o * s + a)), p = d > 0 ? s : Math.min(Math.max(-s, -l), s), m = -d * d + p * (p + 2 * l) + c); + else + p = o > 0 ? -s : s, d = Math.max(0, -(o * p + a)), m = -d * d + p * (p + 2 * l) + c; + return n && n.copy(this.origin).addScaledVector(this.direction, d), r && r.copy(wr).addScaledVector(Ri, p), m; + } + intersectSphere(e, t) { + Wt.subVectors(e.center, this.origin); + const n = Wt.dot(this.direction), r = Wt.dot(Wt) - n * n, s = e.radius * e.radius; + if (r > s) return null; + const o = Math.sqrt(s - r), a = n - o, l = n + o; + return l < 0 ? null : a < 0 ? this.at(l, t) : this.at(a, t); + } + intersectsSphere(e) { + return this.distanceSqToPoint(e.center) <= e.radius * e.radius; + } + distanceToPlane(e) { + const t = e.normal.dot(this.direction); + if (t === 0) + return e.distanceToPoint(this.origin) === 0 ? 0 : null; + const n = -(this.origin.dot(e.normal) + e.constant) / t; + return n >= 0 ? n : null; + } + intersectPlane(e, t) { + const n = this.distanceToPlane(e); + return n === null ? null : this.at(n, t); + } + intersectsPlane(e) { + const t = e.distanceToPoint(this.origin); + return t === 0 || e.normal.dot(this.direction) * t < 0; + } + intersectBox(e, t) { + let n, r, s, o, a, l; + const c = 1 / this.direction.x, h = 1 / this.direction.y, d = 1 / this.direction.z, p = this.origin; + return c >= 0 ? (n = (e.min.x - p.x) * c, r = (e.max.x - p.x) * c) : (n = (e.max.x - p.x) * c, r = (e.min.x - p.x) * c), h >= 0 ? (s = (e.min.y - p.y) * h, o = (e.max.y - p.y) * h) : (s = (e.max.y - p.y) * h, o = (e.min.y - p.y) * h), n > o || s > r || ((s > n || isNaN(n)) && (n = s), (o < r || isNaN(r)) && (r = o), d >= 0 ? (a = (e.min.z - p.z) * d, l = (e.max.z - p.z) * d) : (a = (e.max.z - p.z) * d, l = (e.min.z - p.z) * d), n > l || a > r) || ((a > n || n !== n) && (n = a), (l < r || r !== r) && (r = l), r < 0) ? null : this.at(n >= 0 ? n : r, t); + } + intersectsBox(e) { + return this.intersectBox(e, Wt) !== null; + } + intersectTriangle(e, t, n, r, s) { + Rr.subVectors(t, e), Ci.subVectors(n, e), Cr.crossVectors(Rr, Ci); + let o = this.direction.dot(Cr), a; + if (o > 0) { + if (r) return null; + a = 1; + } else if (o < 0) + a = -1, o = -o; + else + return null; + en.subVectors(this.origin, e); + const l = a * this.direction.dot(Ci.crossVectors(en, Ci)); + if (l < 0) + return null; + const c = a * this.direction.dot(Rr.cross(en)); + if (c < 0 || l + c > o) + return null; + const h = -a * en.dot(Cr); + return h < 0 ? null : this.at(h / o, s); + } + applyMatrix4(e) { + return this.origin.applyMatrix4(e), this.direction.transformDirection(e), this; + } + equals(e) { + return e.origin.equals(this.origin) && e.direction.equals(this.direction); + } + clone() { + return new this.constructor().copy(this); + } +} +class Qe { + constructor(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f) { + Qe.prototype.isMatrix4 = !0, this.elements = [ + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ], e !== void 0 && this.set(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f); + } + set(e, t, n, r, s, o, a, l, c, h, d, p, m, g, v, f) { + const u = this.elements; + return u[0] = e, u[4] = t, u[8] = n, u[12] = r, u[1] = s, u[5] = o, u[9] = a, u[13] = l, u[2] = c, u[6] = h, u[10] = d, u[14] = p, u[3] = m, u[7] = g, u[11] = v, u[15] = f, this; + } + identity() { + return this.set( + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + clone() { + return new Qe().fromArray(this.elements); + } + copy(e) { + const t = this.elements, n = e.elements; + return t[0] = n[0], t[1] = n[1], t[2] = n[2], t[3] = n[3], t[4] = n[4], t[5] = n[5], t[6] = n[6], t[7] = n[7], t[8] = n[8], t[9] = n[9], t[10] = n[10], t[11] = n[11], t[12] = n[12], t[13] = n[13], t[14] = n[14], t[15] = n[15], this; + } + copyPosition(e) { + const t = this.elements, n = e.elements; + return t[12] = n[12], t[13] = n[13], t[14] = n[14], this; + } + setFromMatrix3(e) { + const t = e.elements; + return this.set( + t[0], + t[3], + t[6], + 0, + t[1], + t[4], + t[7], + 0, + t[2], + t[5], + t[8], + 0, + 0, + 0, + 0, + 1 + ), this; + } + extractBasis(e, t, n) { + return e.setFromMatrixColumn(this, 0), t.setFromMatrixColumn(this, 1), n.setFromMatrixColumn(this, 2), this; + } + makeBasis(e, t, n) { + return this.set( + e.x, + t.x, + n.x, + 0, + e.y, + t.y, + n.y, + 0, + e.z, + t.z, + n.z, + 0, + 0, + 0, + 0, + 1 + ), this; + } + extractRotation(e) { + const t = this.elements, n = e.elements, r = 1 / On.setFromMatrixColumn(e, 0).length(), s = 1 / On.setFromMatrixColumn(e, 1).length(), o = 1 / On.setFromMatrixColumn(e, 2).length(); + return t[0] = n[0] * r, t[1] = n[1] * r, t[2] = n[2] * r, t[3] = 0, t[4] = n[4] * s, t[5] = n[5] * s, t[6] = n[6] * s, t[7] = 0, t[8] = n[8] * o, t[9] = n[9] * o, t[10] = n[10] * o, t[11] = 0, t[12] = 0, t[13] = 0, t[14] = 0, t[15] = 1, this; + } + makeRotationFromEuler(e) { + const t = this.elements, n = e.x, r = e.y, s = e.z, o = Math.cos(n), a = Math.sin(n), l = Math.cos(r), c = Math.sin(r), h = Math.cos(s), d = Math.sin(s); + if (e.order === "XYZ") { + const p = o * h, m = o * d, g = a * h, v = a * d; + t[0] = l * h, t[4] = -l * d, t[8] = c, t[1] = m + g * c, t[5] = p - v * c, t[9] = -a * l, t[2] = v - p * c, t[6] = g + m * c, t[10] = o * l; + } else if (e.order === "YXZ") { + const p = l * h, m = l * d, g = c * h, v = c * d; + t[0] = p + v * a, t[4] = g * a - m, t[8] = o * c, t[1] = o * d, t[5] = o * h, t[9] = -a, t[2] = m * a - g, t[6] = v + p * a, t[10] = o * l; + } else if (e.order === "ZXY") { + const p = l * h, m = l * d, g = c * h, v = c * d; + t[0] = p - v * a, t[4] = -o * d, t[8] = g + m * a, t[1] = m + g * a, t[5] = o * h, t[9] = v - p * a, t[2] = -o * c, t[6] = a, t[10] = o * l; + } else if (e.order === "ZYX") { + const p = o * h, m = o * d, g = a * h, v = a * d; + t[0] = l * h, t[4] = g * c - m, t[8] = p * c + v, t[1] = l * d, t[5] = v * c + p, t[9] = m * c - g, t[2] = -c, t[6] = a * l, t[10] = o * l; + } else if (e.order === "YZX") { + const p = o * l, m = o * c, g = a * l, v = a * c; + t[0] = l * h, t[4] = v - p * d, t[8] = g * d + m, t[1] = d, t[5] = o * h, t[9] = -a * h, t[2] = -c * h, t[6] = m * d + g, t[10] = p - v * d; + } else if (e.order === "XZY") { + const p = o * l, m = o * c, g = a * l, v = a * c; + t[0] = l * h, t[4] = -d, t[8] = c * h, t[1] = p * d + v, t[5] = o * h, t[9] = m * d - g, t[2] = g * d - m, t[6] = a * h, t[10] = v * d + p; + } + return t[3] = 0, t[7] = 0, t[11] = 0, t[12] = 0, t[13] = 0, t[14] = 0, t[15] = 1, this; + } + makeRotationFromQuaternion(e) { + return this.compose(ec, e, tc); + } + lookAt(e, t, n) { + const r = this.elements; + return Et.subVectors(e, t), Et.lengthSq() === 0 && (Et.z = 1), Et.normalize(), tn.crossVectors(n, Et), tn.lengthSq() === 0 && (Math.abs(n.z) === 1 ? Et.x += 1e-4 : Et.z += 1e-4, Et.normalize(), tn.crossVectors(n, Et)), tn.normalize(), Li.crossVectors(Et, tn), r[0] = tn.x, r[4] = Li.x, r[8] = Et.x, r[1] = tn.y, r[5] = Li.y, r[9] = Et.y, r[2] = tn.z, r[6] = Li.z, r[10] = Et.z, this; + } + multiply(e) { + return this.multiplyMatrices(this, e); + } + premultiply(e) { + return this.multiplyMatrices(e, this); + } + multiplyMatrices(e, t) { + const n = e.elements, r = t.elements, s = this.elements, o = n[0], a = n[4], l = n[8], c = n[12], h = n[1], d = n[5], p = n[9], m = n[13], g = n[2], v = n[6], f = n[10], u = n[14], b = n[3], S = n[7], R = n[11], D = n[15], C = r[0], A = r[4], W = r[8], x = r[12], y = r[1], z = r[5], Z = r[9], re = r[13], L = r[2], F = r[6], V = r[10], Y = r[14], X = r[3], k = r[7], q = r[11], Q = r[15]; + return s[0] = o * C + a * y + l * L + c * X, s[4] = o * A + a * z + l * F + c * k, s[8] = o * W + a * Z + l * V + c * q, s[12] = o * x + a * re + l * Y + c * Q, s[1] = h * C + d * y + p * L + m * X, s[5] = h * A + d * z + p * F + m * k, s[9] = h * W + d * Z + p * V + m * q, s[13] = h * x + d * re + p * Y + m * Q, s[2] = g * C + v * y + f * L + u * X, s[6] = g * A + v * z + f * F + u * k, s[10] = g * W + v * Z + f * V + u * q, s[14] = g * x + v * re + f * Y + u * Q, s[3] = b * C + S * y + R * L + D * X, s[7] = b * A + S * z + R * F + D * k, s[11] = b * W + S * Z + R * V + D * q, s[15] = b * x + S * re + R * Y + D * Q, this; + } + multiplyScalar(e) { + const t = this.elements; + return t[0] *= e, t[4] *= e, t[8] *= e, t[12] *= e, t[1] *= e, t[5] *= e, t[9] *= e, t[13] *= e, t[2] *= e, t[6] *= e, t[10] *= e, t[14] *= e, t[3] *= e, t[7] *= e, t[11] *= e, t[15] *= e, this; + } + determinant() { + const e = this.elements, t = e[0], n = e[4], r = e[8], s = e[12], o = e[1], a = e[5], l = e[9], c = e[13], h = e[2], d = e[6], p = e[10], m = e[14], g = e[3], v = e[7], f = e[11], u = e[15]; + return g * (+s * l * d - r * c * d - s * a * p + n * c * p + r * a * m - n * l * m) + v * (+t * l * m - t * c * p + s * o * p - r * o * m + r * c * h - s * l * h) + f * (+t * c * d - t * a * m - s * o * d + n * o * m + s * a * h - n * c * h) + u * (-r * a * h - t * l * d + t * a * p + r * o * d - n * o * p + n * l * h); + } + transpose() { + const e = this.elements; + let t; + return t = e[1], e[1] = e[4], e[4] = t, t = e[2], e[2] = e[8], e[8] = t, t = e[6], e[6] = e[9], e[9] = t, t = e[3], e[3] = e[12], e[12] = t, t = e[7], e[7] = e[13], e[13] = t, t = e[11], e[11] = e[14], e[14] = t, this; + } + setPosition(e, t, n) { + const r = this.elements; + return e.isVector3 ? (r[12] = e.x, r[13] = e.y, r[14] = e.z) : (r[12] = e, r[13] = t, r[14] = n), this; + } + invert() { + const e = this.elements, t = e[0], n = e[1], r = e[2], s = e[3], o = e[4], a = e[5], l = e[6], c = e[7], h = e[8], d = e[9], p = e[10], m = e[11], g = e[12], v = e[13], f = e[14], u = e[15], b = d * f * c - v * p * c + v * l * m - a * f * m - d * l * u + a * p * u, S = g * p * c - h * f * c - g * l * m + o * f * m + h * l * u - o * p * u, R = h * v * c - g * d * c + g * a * m - o * v * m - h * a * u + o * d * u, D = g * d * l - h * v * l - g * a * p + o * v * p + h * a * f - o * d * f, C = t * b + n * S + r * R + s * D; + if (C === 0) return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + const A = 1 / C; + return e[0] = b * A, e[1] = (v * p * s - d * f * s - v * r * m + n * f * m + d * r * u - n * p * u) * A, e[2] = (a * f * s - v * l * s + v * r * c - n * f * c - a * r * u + n * l * u) * A, e[3] = (d * l * s - a * p * s - d * r * c + n * p * c + a * r * m - n * l * m) * A, e[4] = S * A, e[5] = (h * f * s - g * p * s + g * r * m - t * f * m - h * r * u + t * p * u) * A, e[6] = (g * l * s - o * f * s - g * r * c + t * f * c + o * r * u - t * l * u) * A, e[7] = (o * p * s - h * l * s + h * r * c - t * p * c - o * r * m + t * l * m) * A, e[8] = R * A, e[9] = (g * d * s - h * v * s - g * n * m + t * v * m + h * n * u - t * d * u) * A, e[10] = (o * v * s - g * a * s + g * n * c - t * v * c - o * n * u + t * a * u) * A, e[11] = (h * a * s - o * d * s - h * n * c + t * d * c + o * n * m - t * a * m) * A, e[12] = D * A, e[13] = (h * v * r - g * d * r + g * n * p - t * v * p - h * n * f + t * d * f) * A, e[14] = (g * a * r - o * v * r - g * n * l + t * v * l + o * n * f - t * a * f) * A, e[15] = (o * d * r - h * a * r + h * n * l - t * d * l - o * n * p + t * a * p) * A, this; + } + scale(e) { + const t = this.elements, n = e.x, r = e.y, s = e.z; + return t[0] *= n, t[4] *= r, t[8] *= s, t[1] *= n, t[5] *= r, t[9] *= s, t[2] *= n, t[6] *= r, t[10] *= s, t[3] *= n, t[7] *= r, t[11] *= s, this; + } + getMaxScaleOnAxis() { + const e = this.elements, t = e[0] * e[0] + e[1] * e[1] + e[2] * e[2], n = e[4] * e[4] + e[5] * e[5] + e[6] * e[6], r = e[8] * e[8] + e[9] * e[9] + e[10] * e[10]; + return Math.sqrt(Math.max(t, n, r)); + } + makeTranslation(e, t, n) { + return e.isVector3 ? this.set( + 1, + 0, + 0, + e.x, + 0, + 1, + 0, + e.y, + 0, + 0, + 1, + e.z, + 0, + 0, + 0, + 1 + ) : this.set( + 1, + 0, + 0, + e, + 0, + 1, + 0, + t, + 0, + 0, + 1, + n, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationX(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + 1, + 0, + 0, + 0, + 0, + t, + -n, + 0, + 0, + n, + t, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationY(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + 0, + n, + 0, + 0, + 1, + 0, + 0, + -n, + 0, + t, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationZ(e) { + const t = Math.cos(e), n = Math.sin(e); + return this.set( + t, + -n, + 0, + 0, + n, + t, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeRotationAxis(e, t) { + const n = Math.cos(t), r = Math.sin(t), s = 1 - n, o = e.x, a = e.y, l = e.z, c = s * o, h = s * a; + return this.set( + c * o + n, + c * a - r * l, + c * l + r * a, + 0, + c * a + r * l, + h * a + n, + h * l - r * o, + 0, + c * l - r * a, + h * l + r * o, + s * l * l + n, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeScale(e, t, n) { + return this.set( + e, + 0, + 0, + 0, + 0, + t, + 0, + 0, + 0, + 0, + n, + 0, + 0, + 0, + 0, + 1 + ), this; + } + makeShear(e, t, n, r, s, o) { + return this.set( + 1, + n, + s, + 0, + e, + 1, + o, + 0, + t, + r, + 1, + 0, + 0, + 0, + 0, + 1 + ), this; + } + compose(e, t, n) { + const r = this.elements, s = t._x, o = t._y, a = t._z, l = t._w, c = s + s, h = o + o, d = a + a, p = s * c, m = s * h, g = s * d, v = o * h, f = o * d, u = a * d, b = l * c, S = l * h, R = l * d, D = n.x, C = n.y, A = n.z; + return r[0] = (1 - (v + u)) * D, r[1] = (m + R) * D, r[2] = (g - S) * D, r[3] = 0, r[4] = (m - R) * C, r[5] = (1 - (p + u)) * C, r[6] = (f + b) * C, r[7] = 0, r[8] = (g + S) * A, r[9] = (f - b) * A, r[10] = (1 - (p + v)) * A, r[11] = 0, r[12] = e.x, r[13] = e.y, r[14] = e.z, r[15] = 1, this; + } + decompose(e, t, n) { + const r = this.elements; + let s = On.set(r[0], r[1], r[2]).length(); + const o = On.set(r[4], r[5], r[6]).length(), a = On.set(r[8], r[9], r[10]).length(); + this.determinant() < 0 && (s = -s), e.x = r[12], e.y = r[13], e.z = r[14], Pt.copy(this); + const c = 1 / s, h = 1 / o, d = 1 / a; + return Pt.elements[0] *= c, Pt.elements[1] *= c, Pt.elements[2] *= c, Pt.elements[4] *= h, Pt.elements[5] *= h, Pt.elements[6] *= h, Pt.elements[8] *= d, Pt.elements[9] *= d, Pt.elements[10] *= d, t.setFromRotationMatrix(Pt), n.x = s, n.y = o, n.z = a, this; + } + makePerspective(e, t, n, r, s, o, a = Zt) { + const l = this.elements, c = 2 * s / (t - e), h = 2 * s / (n - r), d = (t + e) / (t - e), p = (n + r) / (n - r); + let m, g; + if (a === Zt) + m = -(o + s) / (o - s), g = -2 * o * s / (o - s); + else if (a === tr) + m = -o / (o - s), g = -o * s / (o - s); + else + throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: " + a); + return l[0] = c, l[4] = 0, l[8] = d, l[12] = 0, l[1] = 0, l[5] = h, l[9] = p, l[13] = 0, l[2] = 0, l[6] = 0, l[10] = m, l[14] = g, l[3] = 0, l[7] = 0, l[11] = -1, l[15] = 0, this; + } + makeOrthographic(e, t, n, r, s, o, a = Zt) { + const l = this.elements, c = 1 / (t - e), h = 1 / (n - r), d = 1 / (o - s), p = (t + e) * c, m = (n + r) * h; + let g, v; + if (a === Zt) + g = (o + s) * d, v = -2 * d; + else if (a === tr) + g = s * d, v = -1 * d; + else + throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: " + a); + return l[0] = 2 * c, l[4] = 0, l[8] = 0, l[12] = -p, l[1] = 0, l[5] = 2 * h, l[9] = 0, l[13] = -m, l[2] = 0, l[6] = 0, l[10] = v, l[14] = -g, l[3] = 0, l[7] = 0, l[11] = 0, l[15] = 1, this; + } + equals(e) { + const t = this.elements, n = e.elements; + for (let r = 0; r < 16; r++) + if (t[r] !== n[r]) return !1; + return !0; + } + fromArray(e, t = 0) { + for (let n = 0; n < 16; n++) + this.elements[n] = e[n + t]; + return this; + } + toArray(e = [], t = 0) { + const n = this.elements; + return e[t] = n[0], e[t + 1] = n[1], e[t + 2] = n[2], e[t + 3] = n[3], e[t + 4] = n[4], e[t + 5] = n[5], e[t + 6] = n[6], e[t + 7] = n[7], e[t + 8] = n[8], e[t + 9] = n[9], e[t + 10] = n[10], e[t + 11] = n[11], e[t + 12] = n[12], e[t + 13] = n[13], e[t + 14] = n[14], e[t + 15] = n[15], e; + } +} +const On = /* @__PURE__ */ new P(), Pt = /* @__PURE__ */ new Qe(), ec = /* @__PURE__ */ new P(0, 0, 0), tc = /* @__PURE__ */ new P(1, 1, 1), tn = /* @__PURE__ */ new P(), Li = /* @__PURE__ */ new P(), Et = /* @__PURE__ */ new P(), oa = /* @__PURE__ */ new Qe(), la = /* @__PURE__ */ new An(); +class ar { + constructor(e = 0, t = 0, n = 0, r = ar.DEFAULT_ORDER) { + this.isEuler = !0, this._x = e, this._y = t, this._z = n, this._order = r; + } + get x() { + return this._x; + } + set x(e) { + this._x = e, this._onChangeCallback(); + } + get y() { + return this._y; + } + set y(e) { + this._y = e, this._onChangeCallback(); + } + get z() { + return this._z; + } + set z(e) { + this._z = e, this._onChangeCallback(); + } + get order() { + return this._order; + } + set order(e) { + this._order = e, this._onChangeCallback(); + } + set(e, t, n, r = this._order) { + return this._x = e, this._y = t, this._z = n, this._order = r, this._onChangeCallback(), this; + } + clone() { + return new this.constructor(this._x, this._y, this._z, this._order); + } + copy(e) { + return this._x = e._x, this._y = e._y, this._z = e._z, this._order = e._order, this._onChangeCallback(), this; + } + setFromRotationMatrix(e, t = this._order, n = !0) { + const r = e.elements, s = r[0], o = r[4], a = r[8], l = r[1], c = r[5], h = r[9], d = r[2], p = r[6], m = r[10]; + switch (t) { + case "XYZ": + this._y = Math.asin(vt(a, -1, 1)), Math.abs(a) < 0.9999999 ? (this._x = Math.atan2(-h, m), this._z = Math.atan2(-o, s)) : (this._x = Math.atan2(p, c), this._z = 0); + break; + case "YXZ": + this._x = Math.asin(-vt(h, -1, 1)), Math.abs(h) < 0.9999999 ? (this._y = Math.atan2(a, m), this._z = Math.atan2(l, c)) : (this._y = Math.atan2(-d, s), this._z = 0); + break; + case "ZXY": + this._x = Math.asin(vt(p, -1, 1)), Math.abs(p) < 0.9999999 ? (this._y = Math.atan2(-d, m), this._z = Math.atan2(-o, c)) : (this._y = 0, this._z = Math.atan2(l, s)); + break; + case "ZYX": + this._y = Math.asin(-vt(d, -1, 1)), Math.abs(d) < 0.9999999 ? (this._x = Math.atan2(p, m), this._z = Math.atan2(l, s)) : (this._x = 0, this._z = Math.atan2(-o, c)); + break; + case "YZX": + this._z = Math.asin(vt(l, -1, 1)), Math.abs(l) < 0.9999999 ? (this._x = Math.atan2(-h, c), this._y = Math.atan2(-d, s)) : (this._x = 0, this._y = Math.atan2(a, m)); + break; + case "XZY": + this._z = Math.asin(-vt(o, -1, 1)), Math.abs(o) < 0.9999999 ? (this._x = Math.atan2(p, c), this._y = Math.atan2(a, s)) : (this._x = Math.atan2(-h, m), this._y = 0); + break; + default: + console.warn("THREE.Euler: .setFromRotationMatrix() encountered an unknown order: " + t); + } + return this._order = t, n === !0 && this._onChangeCallback(), this; + } + setFromQuaternion(e, t, n) { + return oa.makeRotationFromQuaternion(e), this.setFromRotationMatrix(oa, t, n); + } + setFromVector3(e, t = this._order) { + return this.set(e.x, e.y, e.z, t); + } + reorder(e) { + return la.setFromEuler(this), this.setFromQuaternion(la, e); + } + equals(e) { + return e._x === this._x && e._y === this._y && e._z === this._z && e._order === this._order; + } + fromArray(e) { + return this._x = e[0], this._y = e[1], this._z = e[2], e[3] !== void 0 && (this._order = e[3]), this._onChangeCallback(), this; + } + toArray(e = [], t = 0) { + return e[t] = this._x, e[t + 1] = this._y, e[t + 2] = this._z, e[t + 3] = this._order, e; + } + _onChange(e) { + return this._onChangeCallback = e, this; + } + _onChangeCallback() { + } + *[Symbol.iterator]() { + yield this._x, yield this._y, yield this._z, yield this._order; + } +} +ar.DEFAULT_ORDER = "XYZ"; +class bo { + constructor() { + this.mask = 1; + } + set(e) { + this.mask = (1 << e | 0) >>> 0; + } + enable(e) { + this.mask |= 1 << e | 0; + } + enableAll() { + this.mask = -1; + } + toggle(e) { + this.mask ^= 1 << e | 0; + } + disable(e) { + this.mask &= ~(1 << e | 0); + } + disableAll() { + this.mask = 0; + } + test(e) { + return (this.mask & e.mask) !== 0; + } + isEnabled(e) { + return (this.mask & (1 << e | 0)) !== 0; + } +} +let nc = 0; +const ca = /* @__PURE__ */ new P(), Bn = /* @__PURE__ */ new An(), Xt = /* @__PURE__ */ new Qe(), Pi = /* @__PURE__ */ new P(), ui = /* @__PURE__ */ new P(), ic = /* @__PURE__ */ new P(), rc = /* @__PURE__ */ new An(), ua = /* @__PURE__ */ new P(1, 0, 0), ha = /* @__PURE__ */ new P(0, 1, 0), da = /* @__PURE__ */ new P(0, 0, 1), sc = { type: "added" }, ac = { type: "removed" }; +class dt extends Rn { + constructor() { + super(), this.isObject3D = !0, Object.defineProperty(this, "id", { value: nc++ }), this.uuid = vi(), this.name = "", this.type = "Object3D", this.parent = null, this.children = [], this.up = dt.DEFAULT_UP.clone(); + const e = new P(), t = new ar(), n = new An(), r = new P(1, 1, 1); + function s() { + n.setFromEuler(t, !1); + } + function o() { + t.setFromQuaternion(n, void 0, !1); + } + t._onChange(s), n._onChange(o), Object.defineProperties(this, { + position: { + configurable: !0, + enumerable: !0, + value: e + }, + rotation: { + configurable: !0, + enumerable: !0, + value: t + }, + quaternion: { + configurable: !0, + enumerable: !0, + value: n + }, + scale: { + configurable: !0, + enumerable: !0, + value: r + }, + modelViewMatrix: { + value: new Qe() + }, + normalMatrix: { + value: new Ve() + } + }), this.matrix = new Qe(), this.matrixWorld = new Qe(), this.matrixAutoUpdate = dt.DEFAULT_MATRIX_AUTO_UPDATE, this.matrixWorldAutoUpdate = dt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE, this.matrixWorldNeedsUpdate = !1, this.layers = new bo(), this.visible = !0, this.castShadow = !1, this.receiveShadow = !1, this.frustumCulled = !0, this.renderOrder = 0, this.animations = [], this.userData = {}; + } + onBeforeShadow() { + } + onAfterShadow() { + } + onBeforeRender() { + } + onAfterRender() { + } + applyMatrix4(e) { + this.matrixAutoUpdate && this.updateMatrix(), this.matrix.premultiply(e), this.matrix.decompose(this.position, this.quaternion, this.scale); + } + applyQuaternion(e) { + return this.quaternion.premultiply(e), this; + } + setRotationFromAxisAngle(e, t) { + this.quaternion.setFromAxisAngle(e, t); + } + setRotationFromEuler(e) { + this.quaternion.setFromEuler(e, !0); + } + setRotationFromMatrix(e) { + this.quaternion.setFromRotationMatrix(e); + } + setRotationFromQuaternion(e) { + this.quaternion.copy(e); + } + rotateOnAxis(e, t) { + return Bn.setFromAxisAngle(e, t), this.quaternion.multiply(Bn), this; + } + rotateOnWorldAxis(e, t) { + return Bn.setFromAxisAngle(e, t), this.quaternion.premultiply(Bn), this; + } + rotateX(e) { + return this.rotateOnAxis(ua, e); + } + rotateY(e) { + return this.rotateOnAxis(ha, e); + } + rotateZ(e) { + return this.rotateOnAxis(da, e); + } + translateOnAxis(e, t) { + return ca.copy(e).applyQuaternion(this.quaternion), this.position.add(ca.multiplyScalar(t)), this; + } + translateX(e) { + return this.translateOnAxis(ua, e); + } + translateY(e) { + return this.translateOnAxis(ha, e); + } + translateZ(e) { + return this.translateOnAxis(da, e); + } + localToWorld(e) { + return this.updateWorldMatrix(!0, !1), e.applyMatrix4(this.matrixWorld); + } + worldToLocal(e) { + return this.updateWorldMatrix(!0, !1), e.applyMatrix4(Xt.copy(this.matrixWorld).invert()); + } + lookAt(e, t, n) { + e.isVector3 ? Pi.copy(e) : Pi.set(e, t, n); + const r = this.parent; + this.updateWorldMatrix(!0, !1), ui.setFromMatrixPosition(this.matrixWorld), this.isCamera || this.isLight ? Xt.lookAt(ui, Pi, this.up) : Xt.lookAt(Pi, ui, this.up), this.quaternion.setFromRotationMatrix(Xt), r && (Xt.extractRotation(r.matrixWorld), Bn.setFromRotationMatrix(Xt), this.quaternion.premultiply(Bn.invert())); + } + add(e) { + if (arguments.length > 1) { + for (let t = 0; t < arguments.length; t++) + this.add(arguments[t]); + return this; + } + return e === this ? (console.error("THREE.Object3D.add: object can't be added as a child of itself.", e), this) : (e && e.isObject3D ? (e.parent !== null && e.parent.remove(e), e.parent = this, this.children.push(e), e.dispatchEvent(sc)) : console.error("THREE.Object3D.add: object not an instance of THREE.Object3D.", e), this); + } + remove(e) { + if (arguments.length > 1) { + for (let n = 0; n < arguments.length; n++) + this.remove(arguments[n]); + return this; + } + const t = this.children.indexOf(e); + return t !== -1 && (e.parent = null, this.children.splice(t, 1), e.dispatchEvent(ac)), this; + } + removeFromParent() { + const e = this.parent; + return e !== null && e.remove(this), this; + } + clear() { + return this.remove(...this.children); + } + attach(e) { + return this.updateWorldMatrix(!0, !1), Xt.copy(this.matrixWorld).invert(), e.parent !== null && (e.parent.updateWorldMatrix(!0, !1), Xt.multiply(e.parent.matrixWorld)), e.applyMatrix4(Xt), this.add(e), e.updateWorldMatrix(!1, !0), this; + } + getObjectById(e) { + return this.getObjectByProperty("id", e); + } + getObjectByName(e) { + return this.getObjectByProperty("name", e); + } + getObjectByProperty(e, t) { + if (this[e] === t) return this; + for (let n = 0, r = this.children.length; n < r; n++) { + const o = this.children[n].getObjectByProperty(e, t); + if (o !== void 0) + return o; + } + } + getObjectsByProperty(e, t, n = []) { + this[e] === t && n.push(this); + const r = this.children; + for (let s = 0, o = r.length; s < o; s++) + r[s].getObjectsByProperty(e, t, n); + return n; + } + getWorldPosition(e) { + return this.updateWorldMatrix(!0, !1), e.setFromMatrixPosition(this.matrixWorld); + } + getWorldQuaternion(e) { + return this.updateWorldMatrix(!0, !1), this.matrixWorld.decompose(ui, e, ic), e; + } + getWorldScale(e) { + return this.updateWorldMatrix(!0, !1), this.matrixWorld.decompose(ui, rc, e), e; + } + getWorldDirection(e) { + this.updateWorldMatrix(!0, !1); + const t = this.matrixWorld.elements; + return e.set(t[8], t[9], t[10]).normalize(); + } + raycast() { + } + traverse(e) { + e(this); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) + t[n].traverse(e); + } + traverseVisible(e) { + if (this.visible === !1) return; + e(this); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) + t[n].traverseVisible(e); + } + traverseAncestors(e) { + const t = this.parent; + t !== null && (e(t), t.traverseAncestors(e)); + } + updateMatrix() { + this.matrix.compose(this.position, this.quaternion, this.scale), this.matrixWorldNeedsUpdate = !0; + } + updateMatrixWorld(e) { + this.matrixAutoUpdate && this.updateMatrix(), (this.matrixWorldNeedsUpdate || e) && (this.parent === null ? this.matrixWorld.copy(this.matrix) : this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix), this.matrixWorldNeedsUpdate = !1, e = !0); + const t = this.children; + for (let n = 0, r = t.length; n < r; n++) { + const s = t[n]; + (s.matrixWorldAutoUpdate === !0 || e === !0) && s.updateMatrixWorld(e); + } + } + updateWorldMatrix(e, t) { + const n = this.parent; + if (e === !0 && n !== null && n.matrixWorldAutoUpdate === !0 && n.updateWorldMatrix(!0, !1), this.matrixAutoUpdate && this.updateMatrix(), this.parent === null ? this.matrixWorld.copy(this.matrix) : this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix), t === !0) { + const r = this.children; + for (let s = 0, o = r.length; s < o; s++) { + const a = r[s]; + a.matrixWorldAutoUpdate === !0 && a.updateWorldMatrix(!1, !0); + } + } + } + toJSON(e) { + const t = e === void 0 || typeof e == "string", n = {}; + t && (e = { + geometries: {}, + materials: {}, + textures: {}, + images: {}, + shapes: {}, + skeletons: {}, + animations: {}, + nodes: {} + }, n.metadata = { + version: 4.6, + type: "Object", + generator: "Object3D.toJSON" + }); + const r = {}; + r.uuid = this.uuid, r.type = this.type, this.name !== "" && (r.name = this.name), this.castShadow === !0 && (r.castShadow = !0), this.receiveShadow === !0 && (r.receiveShadow = !0), this.visible === !1 && (r.visible = !1), this.frustumCulled === !1 && (r.frustumCulled = !1), this.renderOrder !== 0 && (r.renderOrder = this.renderOrder), Object.keys(this.userData).length > 0 && (r.userData = this.userData), r.layers = this.layers.mask, r.matrix = this.matrix.toArray(), r.up = this.up.toArray(), this.matrixAutoUpdate === !1 && (r.matrixAutoUpdate = !1), this.isInstancedMesh && (r.type = "InstancedMesh", r.count = this.count, r.instanceMatrix = this.instanceMatrix.toJSON(), this.instanceColor !== null && (r.instanceColor = this.instanceColor.toJSON())), this.isBatchedMesh && (r.type = "BatchedMesh", r.perObjectFrustumCulled = this.perObjectFrustumCulled, r.sortObjects = this.sortObjects, r.drawRanges = this._drawRanges, r.reservedRanges = this._reservedRanges, r.visibility = this._visibility, r.active = this._active, r.bounds = this._bounds.map((a) => ({ + boxInitialized: a.boxInitialized, + boxMin: a.box.min.toArray(), + boxMax: a.box.max.toArray(), + sphereInitialized: a.sphereInitialized, + sphereRadius: a.sphere.radius, + sphereCenter: a.sphere.center.toArray() + })), r.maxGeometryCount = this._maxGeometryCount, r.maxVertexCount = this._maxVertexCount, r.maxIndexCount = this._maxIndexCount, r.geometryInitialized = this._geometryInitialized, r.geometryCount = this._geometryCount, r.matricesTexture = this._matricesTexture.toJSON(e), this.boundingSphere !== null && (r.boundingSphere = { + center: r.boundingSphere.center.toArray(), + radius: r.boundingSphere.radius + }), this.boundingBox !== null && (r.boundingBox = { + min: r.boundingBox.min.toArray(), + max: r.boundingBox.max.toArray() + })); + function s(a, l) { + return a[l.uuid] === void 0 && (a[l.uuid] = l.toJSON(e)), l.uuid; + } + if (this.isScene) + this.background && (this.background.isColor ? r.background = this.background.toJSON() : this.background.isTexture && (r.background = this.background.toJSON(e).uuid)), this.environment && this.environment.isTexture && this.environment.isRenderTargetTexture !== !0 && (r.environment = this.environment.toJSON(e).uuid); + else if (this.isMesh || this.isLine || this.isPoints) { + r.geometry = s(e.geometries, this.geometry); + const a = this.geometry.parameters; + if (a !== void 0 && a.shapes !== void 0) { + const l = a.shapes; + if (Array.isArray(l)) + for (let c = 0, h = l.length; c < h; c++) { + const d = l[c]; + s(e.shapes, d); + } + else + s(e.shapes, l); + } + } + if (this.isSkinnedMesh && (r.bindMode = this.bindMode, r.bindMatrix = this.bindMatrix.toArray(), this.skeleton !== void 0 && (s(e.skeletons, this.skeleton), r.skeleton = this.skeleton.uuid)), this.material !== void 0) + if (Array.isArray(this.material)) { + const a = []; + for (let l = 0, c = this.material.length; l < c; l++) + a.push(s(e.materials, this.material[l])); + r.material = a; + } else + r.material = s(e.materials, this.material); + if (this.children.length > 0) { + r.children = []; + for (let a = 0; a < this.children.length; a++) + r.children.push(this.children[a].toJSON(e).object); + } + if (this.animations.length > 0) { + r.animations = []; + for (let a = 0; a < this.animations.length; a++) { + const l = this.animations[a]; + r.animations.push(s(e.animations, l)); + } + } + if (t) { + const a = o(e.geometries), l = o(e.materials), c = o(e.textures), h = o(e.images), d = o(e.shapes), p = o(e.skeletons), m = o(e.animations), g = o(e.nodes); + a.length > 0 && (n.geometries = a), l.length > 0 && (n.materials = l), c.length > 0 && (n.textures = c), h.length > 0 && (n.images = h), d.length > 0 && (n.shapes = d), p.length > 0 && (n.skeletons = p), m.length > 0 && (n.animations = m), g.length > 0 && (n.nodes = g); + } + return n.object = r, n; + function o(a) { + const l = []; + for (const c in a) { + const h = a[c]; + delete h.metadata, l.push(h); + } + return l; + } + } + clone(e) { + return new this.constructor().copy(this, e); + } + copy(e, t = !0) { + if (this.name = e.name, this.up.copy(e.up), this.position.copy(e.position), this.rotation.order = e.rotation.order, this.quaternion.copy(e.quaternion), this.scale.copy(e.scale), this.matrix.copy(e.matrix), this.matrixWorld.copy(e.matrixWorld), this.matrixAutoUpdate = e.matrixAutoUpdate, this.matrixWorldAutoUpdate = e.matrixWorldAutoUpdate, this.matrixWorldNeedsUpdate = e.matrixWorldNeedsUpdate, this.layers.mask = e.layers.mask, this.visible = e.visible, this.castShadow = e.castShadow, this.receiveShadow = e.receiveShadow, this.frustumCulled = e.frustumCulled, this.renderOrder = e.renderOrder, this.animations = e.animations.slice(), this.userData = JSON.parse(JSON.stringify(e.userData)), t === !0) + for (let n = 0; n < e.children.length; n++) { + const r = e.children[n]; + this.add(r.clone()); + } + return this; + } +} +dt.DEFAULT_UP = /* @__PURE__ */ new P(0, 1, 0); +dt.DEFAULT_MATRIX_AUTO_UPDATE = !0; +dt.DEFAULT_MATRIX_WORLD_AUTO_UPDATE = !0; +const Dt = /* @__PURE__ */ new P(), qt = /* @__PURE__ */ new P(), Lr = /* @__PURE__ */ new P(), Yt = /* @__PURE__ */ new P(), zn = /* @__PURE__ */ new P(), Gn = /* @__PURE__ */ new P(), fa = /* @__PURE__ */ new P(), Pr = /* @__PURE__ */ new P(), Dr = /* @__PURE__ */ new P(), Ur = /* @__PURE__ */ new P(); +let Di = !1; +class It { + constructor(e = new P(), t = new P(), n = new P()) { + this.a = e, this.b = t, this.c = n; + } + static getNormal(e, t, n, r) { + r.subVectors(n, t), Dt.subVectors(e, t), r.cross(Dt); + const s = r.lengthSq(); + return s > 0 ? r.multiplyScalar(1 / Math.sqrt(s)) : r.set(0, 0, 0); + } + // static/instance method to calculate barycentric coordinates + // based on: http://www.blackpawn.com/texts/pointinpoly/default.html + static getBarycoord(e, t, n, r, s) { + Dt.subVectors(r, t), qt.subVectors(n, t), Lr.subVectors(e, t); + const o = Dt.dot(Dt), a = Dt.dot(qt), l = Dt.dot(Lr), c = qt.dot(qt), h = qt.dot(Lr), d = o * c - a * a; + if (d === 0) + return s.set(0, 0, 0), null; + const p = 1 / d, m = (c * l - a * h) * p, g = (o * h - a * l) * p; + return s.set(1 - m - g, g, m); + } + static containsPoint(e, t, n, r) { + return this.getBarycoord(e, t, n, r, Yt) === null ? !1 : Yt.x >= 0 && Yt.y >= 0 && Yt.x + Yt.y <= 1; + } + static getUV(e, t, n, r, s, o, a, l) { + return Di === !1 && (console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."), Di = !0), this.getInterpolation(e, t, n, r, s, o, a, l); + } + static getInterpolation(e, t, n, r, s, o, a, l) { + return this.getBarycoord(e, t, n, r, Yt) === null ? (l.x = 0, l.y = 0, "z" in l && (l.z = 0), "w" in l && (l.w = 0), null) : (l.setScalar(0), l.addScaledVector(s, Yt.x), l.addScaledVector(o, Yt.y), l.addScaledVector(a, Yt.z), l); + } + static isFrontFacing(e, t, n, r) { + return Dt.subVectors(n, t), qt.subVectors(e, t), Dt.cross(qt).dot(r) < 0; + } + set(e, t, n) { + return this.a.copy(e), this.b.copy(t), this.c.copy(n), this; + } + setFromPointsAndIndices(e, t, n, r) { + return this.a.copy(e[t]), this.b.copy(e[n]), this.c.copy(e[r]), this; + } + setFromAttributeAndIndices(e, t, n, r) { + return this.a.fromBufferAttribute(e, t), this.b.fromBufferAttribute(e, n), this.c.fromBufferAttribute(e, r), this; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + return this.a.copy(e.a), this.b.copy(e.b), this.c.copy(e.c), this; + } + getArea() { + return Dt.subVectors(this.c, this.b), qt.subVectors(this.a, this.b), Dt.cross(qt).length() * 0.5; + } + getMidpoint(e) { + return e.addVectors(this.a, this.b).add(this.c).multiplyScalar(1 / 3); + } + getNormal(e) { + return It.getNormal(this.a, this.b, this.c, e); + } + getPlane(e) { + return e.setFromCoplanarPoints(this.a, this.b, this.c); + } + getBarycoord(e, t) { + return It.getBarycoord(e, this.a, this.b, this.c, t); + } + getUV(e, t, n, r, s) { + return Di === !1 && (console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."), Di = !0), It.getInterpolation(e, this.a, this.b, this.c, t, n, r, s); + } + getInterpolation(e, t, n, r, s) { + return It.getInterpolation(e, this.a, this.b, this.c, t, n, r, s); + } + containsPoint(e) { + return It.containsPoint(e, this.a, this.b, this.c); + } + isFrontFacing(e) { + return It.isFrontFacing(this.a, this.b, this.c, e); + } + intersectsBox(e) { + return e.intersectsTriangle(this); + } + closestPointToPoint(e, t) { + const n = this.a, r = this.b, s = this.c; + let o, a; + zn.subVectors(r, n), Gn.subVectors(s, n), Pr.subVectors(e, n); + const l = zn.dot(Pr), c = Gn.dot(Pr); + if (l <= 0 && c <= 0) + return t.copy(n); + Dr.subVectors(e, r); + const h = zn.dot(Dr), d = Gn.dot(Dr); + if (h >= 0 && d <= h) + return t.copy(r); + const p = l * d - h * c; + if (p <= 0 && l >= 0 && h <= 0) + return o = l / (l - h), t.copy(n).addScaledVector(zn, o); + Ur.subVectors(e, s); + const m = zn.dot(Ur), g = Gn.dot(Ur); + if (g >= 0 && m <= g) + return t.copy(s); + const v = m * c - l * g; + if (v <= 0 && c >= 0 && g <= 0) + return a = c / (c - g), t.copy(n).addScaledVector(Gn, a); + const f = h * g - m * d; + if (f <= 0 && d - h >= 0 && m - g >= 0) + return fa.subVectors(s, r), a = (d - h) / (d - h + (m - g)), t.copy(r).addScaledVector(fa, a); + const u = 1 / (f + v + p); + return o = v * u, a = p * u, t.copy(n).addScaledVector(zn, o).addScaledVector(Gn, a); + } + equals(e) { + return e.a.equals(this.a) && e.b.equals(this.b) && e.c.equals(this.c); + } +} +const Ao = { + aliceblue: 15792383, + antiquewhite: 16444375, + aqua: 65535, + aquamarine: 8388564, + azure: 15794175, + beige: 16119260, + bisque: 16770244, + black: 0, + blanchedalmond: 16772045, + blue: 255, + blueviolet: 9055202, + brown: 10824234, + burlywood: 14596231, + cadetblue: 6266528, + chartreuse: 8388352, + chocolate: 13789470, + coral: 16744272, + cornflowerblue: 6591981, + cornsilk: 16775388, + crimson: 14423100, + cyan: 65535, + darkblue: 139, + darkcyan: 35723, + darkgoldenrod: 12092939, + darkgray: 11119017, + darkgreen: 25600, + darkgrey: 11119017, + darkkhaki: 12433259, + darkmagenta: 9109643, + darkolivegreen: 5597999, + darkorange: 16747520, + darkorchid: 10040012, + darkred: 9109504, + darksalmon: 15308410, + darkseagreen: 9419919, + darkslateblue: 4734347, + darkslategray: 3100495, + darkslategrey: 3100495, + darkturquoise: 52945, + darkviolet: 9699539, + deeppink: 16716947, + deepskyblue: 49151, + dimgray: 6908265, + dimgrey: 6908265, + dodgerblue: 2003199, + firebrick: 11674146, + floralwhite: 16775920, + forestgreen: 2263842, + fuchsia: 16711935, + gainsboro: 14474460, + ghostwhite: 16316671, + gold: 16766720, + goldenrod: 14329120, + gray: 8421504, + green: 32768, + greenyellow: 11403055, + grey: 8421504, + honeydew: 15794160, + hotpink: 16738740, + indianred: 13458524, + indigo: 4915330, + ivory: 16777200, + khaki: 15787660, + lavender: 15132410, + lavenderblush: 16773365, + lawngreen: 8190976, + lemonchiffon: 16775885, + lightblue: 11393254, + lightcoral: 15761536, + lightcyan: 14745599, + lightgoldenrodyellow: 16448210, + lightgray: 13882323, + lightgreen: 9498256, + lightgrey: 13882323, + lightpink: 16758465, + lightsalmon: 16752762, + lightseagreen: 2142890, + lightskyblue: 8900346, + lightslategray: 7833753, + lightslategrey: 7833753, + lightsteelblue: 11584734, + lightyellow: 16777184, + lime: 65280, + limegreen: 3329330, + linen: 16445670, + magenta: 16711935, + maroon: 8388608, + mediumaquamarine: 6737322, + mediumblue: 205, + mediumorchid: 12211667, + mediumpurple: 9662683, + mediumseagreen: 3978097, + mediumslateblue: 8087790, + mediumspringgreen: 64154, + mediumturquoise: 4772300, + mediumvioletred: 13047173, + midnightblue: 1644912, + mintcream: 16121850, + mistyrose: 16770273, + moccasin: 16770229, + navajowhite: 16768685, + navy: 128, + oldlace: 16643558, + olive: 8421376, + olivedrab: 7048739, + orange: 16753920, + orangered: 16729344, + orchid: 14315734, + palegoldenrod: 15657130, + palegreen: 10025880, + paleturquoise: 11529966, + palevioletred: 14381203, + papayawhip: 16773077, + peachpuff: 16767673, + peru: 13468991, + pink: 16761035, + plum: 14524637, + powderblue: 11591910, + purple: 8388736, + rebeccapurple: 6697881, + red: 16711680, + rosybrown: 12357519, + royalblue: 4286945, + saddlebrown: 9127187, + salmon: 16416882, + sandybrown: 16032864, + seagreen: 3050327, + seashell: 16774638, + sienna: 10506797, + silver: 12632256, + skyblue: 8900331, + slateblue: 6970061, + slategray: 7372944, + slategrey: 7372944, + snow: 16775930, + springgreen: 65407, + steelblue: 4620980, + tan: 13808780, + teal: 32896, + thistle: 14204888, + tomato: 16737095, + turquoise: 4251856, + violet: 15631086, + wheat: 16113331, + white: 16777215, + whitesmoke: 16119285, + yellow: 16776960, + yellowgreen: 10145074 +}, nn = { h: 0, s: 0, l: 0 }, Ui = { h: 0, s: 0, l: 0 }; +function Ir(i, e, t) { + return t < 0 && (t += 1), t > 1 && (t -= 1), t < 1 / 6 ? i + (e - i) * 6 * t : t < 1 / 2 ? e : t < 2 / 3 ? i + (e - i) * 6 * (2 / 3 - t) : i; +} +class Xe { + constructor(e, t, n) { + return this.isColor = !0, this.r = 1, this.g = 1, this.b = 1, this.set(e, t, n); + } + set(e, t, n) { + if (t === void 0 && n === void 0) { + const r = e; + r && r.isColor ? this.copy(r) : typeof r == "number" ? this.setHex(r) : typeof r == "string" && this.setStyle(r); + } else + this.setRGB(e, t, n); + return this; + } + setScalar(e) { + return this.r = e, this.g = e, this.b = e, this; + } + setHex(e, t = ht) { + return e = Math.floor(e), this.r = (e >> 16 & 255) / 255, this.g = (e >> 8 & 255) / 255, this.b = (e & 255) / 255, Ke.toWorkingColorSpace(this, t), this; + } + setRGB(e, t, n, r = Ke.workingColorSpace) { + return this.r = e, this.g = t, this.b = n, Ke.toWorkingColorSpace(this, r), this; + } + setHSL(e, t, n, r = Ke.workingColorSpace) { + if (e = Xl(e, 1), t = vt(t, 0, 1), n = vt(n, 0, 1), t === 0) + this.r = this.g = this.b = n; + else { + const s = n <= 0.5 ? n * (1 + t) : n + t - n * t, o = 2 * n - s; + this.r = Ir(o, s, e + 1 / 3), this.g = Ir(o, s, e), this.b = Ir(o, s, e - 1 / 3); + } + return Ke.toWorkingColorSpace(this, r), this; + } + setStyle(e, t = ht) { + function n(s) { + s !== void 0 && parseFloat(s) < 1 && console.warn("THREE.Color: Alpha component of " + e + " will be ignored."); + } + let r; + if (r = /^(\w+)\(([^\)]*)\)/.exec(e)) { + let s; + const o = r[1], a = r[2]; + switch (o) { + case "rgb": + case "rgba": + if (s = /^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setRGB( + Math.min(255, parseInt(s[1], 10)) / 255, + Math.min(255, parseInt(s[2], 10)) / 255, + Math.min(255, parseInt(s[3], 10)) / 255, + t + ); + if (s = /^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setRGB( + Math.min(100, parseInt(s[1], 10)) / 100, + Math.min(100, parseInt(s[2], 10)) / 100, + Math.min(100, parseInt(s[3], 10)) / 100, + t + ); + break; + case "hsl": + case "hsla": + if (s = /^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(a)) + return n(s[4]), this.setHSL( + parseFloat(s[1]) / 360, + parseFloat(s[2]) / 100, + parseFloat(s[3]) / 100, + t + ); + break; + default: + console.warn("THREE.Color: Unknown color model " + e); + } + } else if (r = /^\#([A-Fa-f\d]+)$/.exec(e)) { + const s = r[1], o = s.length; + if (o === 3) + return this.setRGB( + parseInt(s.charAt(0), 16) / 15, + parseInt(s.charAt(1), 16) / 15, + parseInt(s.charAt(2), 16) / 15, + t + ); + if (o === 6) + return this.setHex(parseInt(s, 16), t); + console.warn("THREE.Color: Invalid hex color " + e); + } else if (e && e.length > 0) + return this.setColorName(e, t); + return this; + } + setColorName(e, t = ht) { + const n = Ao[e.toLowerCase()]; + return n !== void 0 ? this.setHex(n, t) : console.warn("THREE.Color: Unknown color " + e), this; + } + clone() { + return new this.constructor(this.r, this.g, this.b); + } + copy(e) { + return this.r = e.r, this.g = e.g, this.b = e.b, this; + } + copySRGBToLinear(e) { + return this.r = Jn(e.r), this.g = Jn(e.g), this.b = Jn(e.b), this; + } + copyLinearToSRGB(e) { + return this.r = Er(e.r), this.g = Er(e.g), this.b = Er(e.b), this; + } + convertSRGBToLinear() { + return this.copySRGBToLinear(this), this; + } + convertLinearToSRGB() { + return this.copyLinearToSRGB(this), this; + } + getHex(e = ht) { + return Ke.fromWorkingColorSpace(mt.copy(this), e), Math.round(vt(mt.r * 255, 0, 255)) * 65536 + Math.round(vt(mt.g * 255, 0, 255)) * 256 + Math.round(vt(mt.b * 255, 0, 255)); + } + getHexString(e = ht) { + return ("000000" + this.getHex(e).toString(16)).slice(-6); + } + getHSL(e, t = Ke.workingColorSpace) { + Ke.fromWorkingColorSpace(mt.copy(this), t); + const n = mt.r, r = mt.g, s = mt.b, o = Math.max(n, r, s), a = Math.min(n, r, s); + let l, c; + const h = (a + o) / 2; + if (a === o) + l = 0, c = 0; + else { + const d = o - a; + switch (c = h <= 0.5 ? d / (o + a) : d / (2 - o - a), o) { + case n: + l = (r - s) / d + (r < s ? 6 : 0); + break; + case r: + l = (s - n) / d + 2; + break; + case s: + l = (n - r) / d + 4; + break; + } + l /= 6; + } + return e.h = l, e.s = c, e.l = h, e; + } + getRGB(e, t = Ke.workingColorSpace) { + return Ke.fromWorkingColorSpace(mt.copy(this), t), e.r = mt.r, e.g = mt.g, e.b = mt.b, e; + } + getStyle(e = ht) { + Ke.fromWorkingColorSpace(mt.copy(this), e); + const t = mt.r, n = mt.g, r = mt.b; + return e !== ht ? `color(${e} ${t.toFixed(3)} ${n.toFixed(3)} ${r.toFixed(3)})` : `rgb(${Math.round(t * 255)},${Math.round(n * 255)},${Math.round(r * 255)})`; + } + offsetHSL(e, t, n) { + return this.getHSL(nn), this.setHSL(nn.h + e, nn.s + t, nn.l + n); + } + add(e) { + return this.r += e.r, this.g += e.g, this.b += e.b, this; + } + addColors(e, t) { + return this.r = e.r + t.r, this.g = e.g + t.g, this.b = e.b + t.b, this; + } + addScalar(e) { + return this.r += e, this.g += e, this.b += e, this; + } + sub(e) { + return this.r = Math.max(0, this.r - e.r), this.g = Math.max(0, this.g - e.g), this.b = Math.max(0, this.b - e.b), this; + } + multiply(e) { + return this.r *= e.r, this.g *= e.g, this.b *= e.b, this; + } + multiplyScalar(e) { + return this.r *= e, this.g *= e, this.b *= e, this; + } + lerp(e, t) { + return this.r += (e.r - this.r) * t, this.g += (e.g - this.g) * t, this.b += (e.b - this.b) * t, this; + } + lerpColors(e, t, n) { + return this.r = e.r + (t.r - e.r) * n, this.g = e.g + (t.g - e.g) * n, this.b = e.b + (t.b - e.b) * n, this; + } + lerpHSL(e, t) { + this.getHSL(nn), e.getHSL(Ui); + const n = Mr(nn.h, Ui.h, t), r = Mr(nn.s, Ui.s, t), s = Mr(nn.l, Ui.l, t); + return this.setHSL(n, r, s), this; + } + setFromVector3(e) { + return this.r = e.x, this.g = e.y, this.b = e.z, this; + } + applyMatrix3(e) { + const t = this.r, n = this.g, r = this.b, s = e.elements; + return this.r = s[0] * t + s[3] * n + s[6] * r, this.g = s[1] * t + s[4] * n + s[7] * r, this.b = s[2] * t + s[5] * n + s[8] * r, this; + } + equals(e) { + return e.r === this.r && e.g === this.g && e.b === this.b; + } + fromArray(e, t = 0) { + return this.r = e[t], this.g = e[t + 1], this.b = e[t + 2], this; + } + toArray(e = [], t = 0) { + return e[t] = this.r, e[t + 1] = this.g, e[t + 2] = this.b, e; + } + fromBufferAttribute(e, t) { + return this.r = e.getX(t), this.g = e.getY(t), this.b = e.getZ(t), this; + } + toJSON() { + return this.getHex(); + } + *[Symbol.iterator]() { + yield this.r, yield this.g, yield this.b; + } +} +const mt = /* @__PURE__ */ new Xe(); +Xe.NAMES = Ao; +let oc = 0; +class Mi extends Rn { + constructor() { + super(), this.isMaterial = !0, Object.defineProperty(this, "id", { value: oc++ }), this.uuid = vi(), this.name = "", this.type = "Material", this.blending = $n, this.side = un, this.vertexColors = !1, this.opacity = 1, this.transparent = !1, this.alphaHash = !1, this.blendSrc = Kr, this.blendDst = Zr, this.blendEquation = Mn, this.blendSrcAlpha = null, this.blendDstAlpha = null, this.blendEquationAlpha = null, this.blendColor = new Xe(0, 0, 0), this.blendAlpha = 0, this.depthFunc = $i, this.depthTest = !0, this.depthWrite = !0, this.stencilWriteMask = 255, this.stencilFunc = Qs, this.stencilRef = 0, this.stencilFuncMask = 255, this.stencilFail = Dn, this.stencilZFail = Dn, this.stencilZPass = Dn, this.stencilWrite = !1, this.clippingPlanes = null, this.clipIntersection = !1, this.clipShadows = !1, this.shadowSide = null, this.colorWrite = !0, this.precision = null, this.polygonOffset = !1, this.polygonOffsetFactor = 0, this.polygonOffsetUnits = 0, this.dithering = !1, this.alphaToCoverage = !1, this.premultipliedAlpha = !1, this.forceSinglePass = !1, this.visible = !0, this.toneMapped = !0, this.userData = {}, this.version = 0, this._alphaTest = 0; + } + get alphaTest() { + return this._alphaTest; + } + set alphaTest(e) { + this._alphaTest > 0 != e > 0 && this.version++, this._alphaTest = e; + } + onBuild() { + } + onBeforeRender() { + } + onBeforeCompile() { + } + customProgramCacheKey() { + return this.onBeforeCompile.toString(); + } + setValues(e) { + if (e !== void 0) + for (const t in e) { + const n = e[t]; + if (n === void 0) { + console.warn(`THREE.Material: parameter '${t}' has value of undefined.`); + continue; + } + const r = this[t]; + if (r === void 0) { + console.warn(`THREE.Material: '${t}' is not a property of THREE.${this.type}.`); + continue; + } + r && r.isColor ? r.set(n) : r && r.isVector3 && n && n.isVector3 ? r.copy(n) : this[t] = n; + } + } + toJSON(e) { + const t = e === void 0 || typeof e == "string"; + t && (e = { + textures: {}, + images: {} + }); + const n = { + metadata: { + version: 4.6, + type: "Material", + generator: "Material.toJSON" + } + }; + n.uuid = this.uuid, n.type = this.type, this.name !== "" && (n.name = this.name), this.color && this.color.isColor && (n.color = this.color.getHex()), this.roughness !== void 0 && (n.roughness = this.roughness), this.metalness !== void 0 && (n.metalness = this.metalness), this.sheen !== void 0 && (n.sheen = this.sheen), this.sheenColor && this.sheenColor.isColor && (n.sheenColor = this.sheenColor.getHex()), this.sheenRoughness !== void 0 && (n.sheenRoughness = this.sheenRoughness), this.emissive && this.emissive.isColor && (n.emissive = this.emissive.getHex()), this.emissiveIntensity && this.emissiveIntensity !== 1 && (n.emissiveIntensity = this.emissiveIntensity), this.specular && this.specular.isColor && (n.specular = this.specular.getHex()), this.specularIntensity !== void 0 && (n.specularIntensity = this.specularIntensity), this.specularColor && this.specularColor.isColor && (n.specularColor = this.specularColor.getHex()), this.shininess !== void 0 && (n.shininess = this.shininess), this.clearcoat !== void 0 && (n.clearcoat = this.clearcoat), this.clearcoatRoughness !== void 0 && (n.clearcoatRoughness = this.clearcoatRoughness), this.clearcoatMap && this.clearcoatMap.isTexture && (n.clearcoatMap = this.clearcoatMap.toJSON(e).uuid), this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture && (n.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON(e).uuid), this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture && (n.clearcoatNormalMap = this.clearcoatNormalMap.toJSON(e).uuid, n.clearcoatNormalScale = this.clearcoatNormalScale.toArray()), this.iridescence !== void 0 && (n.iridescence = this.iridescence), this.iridescenceIOR !== void 0 && (n.iridescenceIOR = this.iridescenceIOR), this.iridescenceThicknessRange !== void 0 && (n.iridescenceThicknessRange = this.iridescenceThicknessRange), this.iridescenceMap && this.iridescenceMap.isTexture && (n.iridescenceMap = this.iridescenceMap.toJSON(e).uuid), this.iridescenceThicknessMap && this.iridescenceThicknessMap.isTexture && (n.iridescenceThicknessMap = this.iridescenceThicknessMap.toJSON(e).uuid), this.anisotropy !== void 0 && (n.anisotropy = this.anisotropy), this.anisotropyRotation !== void 0 && (n.anisotropyRotation = this.anisotropyRotation), this.anisotropyMap && this.anisotropyMap.isTexture && (n.anisotropyMap = this.anisotropyMap.toJSON(e).uuid), this.map && this.map.isTexture && (n.map = this.map.toJSON(e).uuid), this.matcap && this.matcap.isTexture && (n.matcap = this.matcap.toJSON(e).uuid), this.alphaMap && this.alphaMap.isTexture && (n.alphaMap = this.alphaMap.toJSON(e).uuid), this.lightMap && this.lightMap.isTexture && (n.lightMap = this.lightMap.toJSON(e).uuid, n.lightMapIntensity = this.lightMapIntensity), this.aoMap && this.aoMap.isTexture && (n.aoMap = this.aoMap.toJSON(e).uuid, n.aoMapIntensity = this.aoMapIntensity), this.bumpMap && this.bumpMap.isTexture && (n.bumpMap = this.bumpMap.toJSON(e).uuid, n.bumpScale = this.bumpScale), this.normalMap && this.normalMap.isTexture && (n.normalMap = this.normalMap.toJSON(e).uuid, n.normalMapType = this.normalMapType, n.normalScale = this.normalScale.toArray()), this.displacementMap && this.displacementMap.isTexture && (n.displacementMap = this.displacementMap.toJSON(e).uuid, n.displacementScale = this.displacementScale, n.displacementBias = this.displacementBias), this.roughnessMap && this.roughnessMap.isTexture && (n.roughnessMap = this.roughnessMap.toJSON(e).uuid), this.metalnessMap && this.metalnessMap.isTexture && (n.metalnessMap = this.metalnessMap.toJSON(e).uuid), this.emissiveMap && this.emissiveMap.isTexture && (n.emissiveMap = this.emissiveMap.toJSON(e).uuid), this.specularMap && this.specularMap.isTexture && (n.specularMap = this.specularMap.toJSON(e).uuid), this.specularIntensityMap && this.specularIntensityMap.isTexture && (n.specularIntensityMap = this.specularIntensityMap.toJSON(e).uuid), this.specularColorMap && this.specularColorMap.isTexture && (n.specularColorMap = this.specularColorMap.toJSON(e).uuid), this.envMap && this.envMap.isTexture && (n.envMap = this.envMap.toJSON(e).uuid, this.combine !== void 0 && (n.combine = this.combine)), this.envMapIntensity !== void 0 && (n.envMapIntensity = this.envMapIntensity), this.reflectivity !== void 0 && (n.reflectivity = this.reflectivity), this.refractionRatio !== void 0 && (n.refractionRatio = this.refractionRatio), this.gradientMap && this.gradientMap.isTexture && (n.gradientMap = this.gradientMap.toJSON(e).uuid), this.transmission !== void 0 && (n.transmission = this.transmission), this.transmissionMap && this.transmissionMap.isTexture && (n.transmissionMap = this.transmissionMap.toJSON(e).uuid), this.thickness !== void 0 && (n.thickness = this.thickness), this.thicknessMap && this.thicknessMap.isTexture && (n.thicknessMap = this.thicknessMap.toJSON(e).uuid), this.attenuationDistance !== void 0 && this.attenuationDistance !== 1 / 0 && (n.attenuationDistance = this.attenuationDistance), this.attenuationColor !== void 0 && (n.attenuationColor = this.attenuationColor.getHex()), this.size !== void 0 && (n.size = this.size), this.shadowSide !== null && (n.shadowSide = this.shadowSide), this.sizeAttenuation !== void 0 && (n.sizeAttenuation = this.sizeAttenuation), this.blending !== $n && (n.blending = this.blending), this.side !== un && (n.side = this.side), this.vertexColors === !0 && (n.vertexColors = !0), this.opacity < 1 && (n.opacity = this.opacity), this.transparent === !0 && (n.transparent = !0), this.blendSrc !== Kr && (n.blendSrc = this.blendSrc), this.blendDst !== Zr && (n.blendDst = this.blendDst), this.blendEquation !== Mn && (n.blendEquation = this.blendEquation), this.blendSrcAlpha !== null && (n.blendSrcAlpha = this.blendSrcAlpha), this.blendDstAlpha !== null && (n.blendDstAlpha = this.blendDstAlpha), this.blendEquationAlpha !== null && (n.blendEquationAlpha = this.blendEquationAlpha), this.blendColor && this.blendColor.isColor && (n.blendColor = this.blendColor.getHex()), this.blendAlpha !== 0 && (n.blendAlpha = this.blendAlpha), this.depthFunc !== $i && (n.depthFunc = this.depthFunc), this.depthTest === !1 && (n.depthTest = this.depthTest), this.depthWrite === !1 && (n.depthWrite = this.depthWrite), this.colorWrite === !1 && (n.colorWrite = this.colorWrite), this.stencilWriteMask !== 255 && (n.stencilWriteMask = this.stencilWriteMask), this.stencilFunc !== Qs && (n.stencilFunc = this.stencilFunc), this.stencilRef !== 0 && (n.stencilRef = this.stencilRef), this.stencilFuncMask !== 255 && (n.stencilFuncMask = this.stencilFuncMask), this.stencilFail !== Dn && (n.stencilFail = this.stencilFail), this.stencilZFail !== Dn && (n.stencilZFail = this.stencilZFail), this.stencilZPass !== Dn && (n.stencilZPass = this.stencilZPass), this.stencilWrite === !0 && (n.stencilWrite = this.stencilWrite), this.rotation !== void 0 && this.rotation !== 0 && (n.rotation = this.rotation), this.polygonOffset === !0 && (n.polygonOffset = !0), this.polygonOffsetFactor !== 0 && (n.polygonOffsetFactor = this.polygonOffsetFactor), this.polygonOffsetUnits !== 0 && (n.polygonOffsetUnits = this.polygonOffsetUnits), this.linewidth !== void 0 && this.linewidth !== 1 && (n.linewidth = this.linewidth), this.dashSize !== void 0 && (n.dashSize = this.dashSize), this.gapSize !== void 0 && (n.gapSize = this.gapSize), this.scale !== void 0 && (n.scale = this.scale), this.dithering === !0 && (n.dithering = !0), this.alphaTest > 0 && (n.alphaTest = this.alphaTest), this.alphaHash === !0 && (n.alphaHash = !0), this.alphaToCoverage === !0 && (n.alphaToCoverage = !0), this.premultipliedAlpha === !0 && (n.premultipliedAlpha = !0), this.forceSinglePass === !0 && (n.forceSinglePass = !0), this.wireframe === !0 && (n.wireframe = !0), this.wireframeLinewidth > 1 && (n.wireframeLinewidth = this.wireframeLinewidth), this.wireframeLinecap !== "round" && (n.wireframeLinecap = this.wireframeLinecap), this.wireframeLinejoin !== "round" && (n.wireframeLinejoin = this.wireframeLinejoin), this.flatShading === !0 && (n.flatShading = !0), this.visible === !1 && (n.visible = !1), this.toneMapped === !1 && (n.toneMapped = !1), this.fog === !1 && (n.fog = !1), Object.keys(this.userData).length > 0 && (n.userData = this.userData); + function r(s) { + const o = []; + for (const a in s) { + const l = s[a]; + delete l.metadata, o.push(l); + } + return o; + } + if (t) { + const s = r(e.textures), o = r(e.images); + s.length > 0 && (n.textures = s), o.length > 0 && (n.images = o); + } + return n; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.name = e.name, this.blending = e.blending, this.side = e.side, this.vertexColors = e.vertexColors, this.opacity = e.opacity, this.transparent = e.transparent, this.blendSrc = e.blendSrc, this.blendDst = e.blendDst, this.blendEquation = e.blendEquation, this.blendSrcAlpha = e.blendSrcAlpha, this.blendDstAlpha = e.blendDstAlpha, this.blendEquationAlpha = e.blendEquationAlpha, this.blendColor.copy(e.blendColor), this.blendAlpha = e.blendAlpha, this.depthFunc = e.depthFunc, this.depthTest = e.depthTest, this.depthWrite = e.depthWrite, this.stencilWriteMask = e.stencilWriteMask, this.stencilFunc = e.stencilFunc, this.stencilRef = e.stencilRef, this.stencilFuncMask = e.stencilFuncMask, this.stencilFail = e.stencilFail, this.stencilZFail = e.stencilZFail, this.stencilZPass = e.stencilZPass, this.stencilWrite = e.stencilWrite; + const t = e.clippingPlanes; + let n = null; + if (t !== null) { + const r = t.length; + n = new Array(r); + for (let s = 0; s !== r; ++s) + n[s] = t[s].clone(); + } + return this.clippingPlanes = n, this.clipIntersection = e.clipIntersection, this.clipShadows = e.clipShadows, this.shadowSide = e.shadowSide, this.colorWrite = e.colorWrite, this.precision = e.precision, this.polygonOffset = e.polygonOffset, this.polygonOffsetFactor = e.polygonOffsetFactor, this.polygonOffsetUnits = e.polygonOffsetUnits, this.dithering = e.dithering, this.alphaTest = e.alphaTest, this.alphaHash = e.alphaHash, this.alphaToCoverage = e.alphaToCoverage, this.premultipliedAlpha = e.premultipliedAlpha, this.forceSinglePass = e.forceSinglePass, this.visible = e.visible, this.toneMapped = e.toneMapped, this.userData = JSON.parse(JSON.stringify(e.userData)), this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } + set needsUpdate(e) { + e === !0 && this.version++; + } +} +class ls extends Mi { + constructor(e) { + super(), this.isMeshBasicMaterial = !0, this.type = "MeshBasicMaterial", this.color = new Xe(16777215), this.map = null, this.lightMap = null, this.lightMapIntensity = 1, this.aoMap = null, this.aoMapIntensity = 1, this.specularMap = null, this.alphaMap = null, this.envMap = null, this.combine = oo, this.reflectivity = 1, this.refractionRatio = 0.98, this.wireframe = !1, this.wireframeLinewidth = 1, this.wireframeLinecap = "round", this.wireframeLinejoin = "round", this.fog = !0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.color.copy(e.color), this.map = e.map, this.lightMap = e.lightMap, this.lightMapIntensity = e.lightMapIntensity, this.aoMap = e.aoMap, this.aoMapIntensity = e.aoMapIntensity, this.specularMap = e.specularMap, this.alphaMap = e.alphaMap, this.envMap = e.envMap, this.combine = e.combine, this.reflectivity = e.reflectivity, this.refractionRatio = e.refractionRatio, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.wireframeLinecap = e.wireframeLinecap, this.wireframeLinejoin = e.wireframeLinejoin, this.fog = e.fog, this; + } +} +const at = /* @__PURE__ */ new P(), Ii = /* @__PURE__ */ new Ie(); +class Bt { + constructor(e, t, n = !1) { + if (Array.isArray(e)) + throw new TypeError("THREE.BufferAttribute: array should be a Typed Array."); + this.isBufferAttribute = !0, this.name = "", this.array = e, this.itemSize = t, this.count = e !== void 0 ? e.length / t : 0, this.normalized = n, this.usage = ea, this._updateRange = { offset: 0, count: -1 }, this.updateRanges = [], this.gpuType = an, this.version = 0; + } + onUploadCallback() { + } + set needsUpdate(e) { + e === !0 && this.version++; + } + get updateRange() { + return console.warn("THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead."), this._updateRange; + } + setUsage(e) { + return this.usage = e, this; + } + addUpdateRange(e, t) { + this.updateRanges.push({ start: e, count: t }); + } + clearUpdateRanges() { + this.updateRanges.length = 0; + } + copy(e) { + return this.name = e.name, this.array = new e.array.constructor(e.array), this.itemSize = e.itemSize, this.count = e.count, this.normalized = e.normalized, this.usage = e.usage, this.gpuType = e.gpuType, this; + } + copyAt(e, t, n) { + e *= this.itemSize, n *= t.itemSize; + for (let r = 0, s = this.itemSize; r < s; r++) + this.array[e + r] = t.array[n + r]; + return this; + } + copyArray(e) { + return this.array.set(e), this; + } + applyMatrix3(e) { + if (this.itemSize === 2) + for (let t = 0, n = this.count; t < n; t++) + Ii.fromBufferAttribute(this, t), Ii.applyMatrix3(e), this.setXY(t, Ii.x, Ii.y); + else if (this.itemSize === 3) + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyMatrix3(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + applyMatrix4(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyMatrix4(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + applyNormalMatrix(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.applyNormalMatrix(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + transformDirection(e) { + for (let t = 0, n = this.count; t < n; t++) + at.fromBufferAttribute(this, t), at.transformDirection(e), this.setXYZ(t, at.x, at.y, at.z); + return this; + } + set(e, t = 0) { + return this.array.set(e, t), this; + } + getComponent(e, t) { + let n = this.array[e * this.itemSize + t]; + return this.normalized && (n = oi(n, this.array)), n; + } + setComponent(e, t, n) { + return this.normalized && (n = xt(n, this.array)), this.array[e * this.itemSize + t] = n, this; + } + getX(e) { + let t = this.array[e * this.itemSize]; + return this.normalized && (t = oi(t, this.array)), t; + } + setX(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize] = t, this; + } + getY(e) { + let t = this.array[e * this.itemSize + 1]; + return this.normalized && (t = oi(t, this.array)), t; + } + setY(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 1] = t, this; + } + getZ(e) { + let t = this.array[e * this.itemSize + 2]; + return this.normalized && (t = oi(t, this.array)), t; + } + setZ(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 2] = t, this; + } + getW(e) { + let t = this.array[e * this.itemSize + 3]; + return this.normalized && (t = oi(t, this.array)), t; + } + setW(e, t) { + return this.normalized && (t = xt(t, this.array)), this.array[e * this.itemSize + 3] = t, this; + } + setXY(e, t, n) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this; + } + setXYZ(e, t, n, r) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array), r = xt(r, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this.array[e + 2] = r, this; + } + setXYZW(e, t, n, r, s) { + return e *= this.itemSize, this.normalized && (t = xt(t, this.array), n = xt(n, this.array), r = xt(r, this.array), s = xt(s, this.array)), this.array[e + 0] = t, this.array[e + 1] = n, this.array[e + 2] = r, this.array[e + 3] = s, this; + } + onUpload(e) { + return this.onUploadCallback = e, this; + } + clone() { + return new this.constructor(this.array, this.itemSize).copy(this); + } + toJSON() { + const e = { + itemSize: this.itemSize, + type: this.array.constructor.name, + array: Array.from(this.array), + normalized: this.normalized + }; + return this.name !== "" && (e.name = this.name), this.usage !== ea && (e.usage = this.usage), e; + } +} +class wo extends Bt { + constructor(e, t, n) { + super(new Uint16Array(e), t, n); + } +} +class Ro extends Bt { + constructor(e, t, n) { + super(new Uint32Array(e), t, n); + } +} +class Ht extends Bt { + constructor(e, t, n) { + super(new Float32Array(e), t, n); + } +} +let lc = 0; +const wt = /* @__PURE__ */ new Qe(), Nr = /* @__PURE__ */ new dt(), Hn = /* @__PURE__ */ new P(), yt = /* @__PURE__ */ new Cn(), hi = /* @__PURE__ */ new Cn(), ut = /* @__PURE__ */ new P(); +class hn extends Rn { + constructor() { + super(), this.isBufferGeometry = !0, Object.defineProperty(this, "id", { value: lc++ }), this.uuid = vi(), this.name = "", this.type = "BufferGeometry", this.index = null, this.attributes = {}, this.morphAttributes = {}, this.morphTargetsRelative = !1, this.groups = [], this.boundingBox = null, this.boundingSphere = null, this.drawRange = { start: 0, count: 1 / 0 }, this.userData = {}; + } + getIndex() { + return this.index; + } + setIndex(e) { + return Array.isArray(e) ? this.index = new (Mo(e) ? Ro : wo)(e, 1) : this.index = e, this; + } + getAttribute(e) { + return this.attributes[e]; + } + setAttribute(e, t) { + return this.attributes[e] = t, this; + } + deleteAttribute(e) { + return delete this.attributes[e], this; + } + hasAttribute(e) { + return this.attributes[e] !== void 0; + } + addGroup(e, t, n = 0) { + this.groups.push({ + start: e, + count: t, + materialIndex: n + }); + } + clearGroups() { + this.groups = []; + } + setDrawRange(e, t) { + this.drawRange.start = e, this.drawRange.count = t; + } + applyMatrix4(e) { + const t = this.attributes.position; + t !== void 0 && (t.applyMatrix4(e), t.needsUpdate = !0); + const n = this.attributes.normal; + if (n !== void 0) { + const s = new Ve().getNormalMatrix(e); + n.applyNormalMatrix(s), n.needsUpdate = !0; + } + const r = this.attributes.tangent; + return r !== void 0 && (r.transformDirection(e), r.needsUpdate = !0), this.boundingBox !== null && this.computeBoundingBox(), this.boundingSphere !== null && this.computeBoundingSphere(), this; + } + applyQuaternion(e) { + return wt.makeRotationFromQuaternion(e), this.applyMatrix4(wt), this; + } + rotateX(e) { + return wt.makeRotationX(e), this.applyMatrix4(wt), this; + } + rotateY(e) { + return wt.makeRotationY(e), this.applyMatrix4(wt), this; + } + rotateZ(e) { + return wt.makeRotationZ(e), this.applyMatrix4(wt), this; + } + translate(e, t, n) { + return wt.makeTranslation(e, t, n), this.applyMatrix4(wt), this; + } + scale(e, t, n) { + return wt.makeScale(e, t, n), this.applyMatrix4(wt), this; + } + lookAt(e) { + return Nr.lookAt(e), Nr.updateMatrix(), this.applyMatrix4(Nr.matrix), this; + } + center() { + return this.computeBoundingBox(), this.boundingBox.getCenter(Hn).negate(), this.translate(Hn.x, Hn.y, Hn.z), this; + } + setFromPoints(e) { + const t = []; + for (let n = 0, r = e.length; n < r; n++) { + const s = e[n]; + t.push(s.x, s.y, s.z || 0); + } + return this.setAttribute("position", new Ht(t, 3)), this; + } + computeBoundingBox() { + this.boundingBox === null && (this.boundingBox = new Cn()); + const e = this.attributes.position, t = this.morphAttributes.position; + if (e && e.isGLBufferAttribute) { + console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set "mesh.frustumCulled" to "false".', this), this.boundingBox.set( + new P(-1 / 0, -1 / 0, -1 / 0), + new P(1 / 0, 1 / 0, 1 / 0) + ); + return; + } + if (e !== void 0) { + if (this.boundingBox.setFromBufferAttribute(e), t) + for (let n = 0, r = t.length; n < r; n++) { + const s = t[n]; + yt.setFromBufferAttribute(s), this.morphTargetsRelative ? (ut.addVectors(this.boundingBox.min, yt.min), this.boundingBox.expandByPoint(ut), ut.addVectors(this.boundingBox.max, yt.max), this.boundingBox.expandByPoint(ut)) : (this.boundingBox.expandByPoint(yt.min), this.boundingBox.expandByPoint(yt.max)); + } + } else + this.boundingBox.makeEmpty(); + (isNaN(this.boundingBox.min.x) || isNaN(this.boundingBox.min.y) || isNaN(this.boundingBox.min.z)) && console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.', this); + } + computeBoundingSphere() { + this.boundingSphere === null && (this.boundingSphere = new xi()); + const e = this.attributes.position, t = this.morphAttributes.position; + if (e && e.isGLBufferAttribute) { + console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set "mesh.frustumCulled" to "false".', this), this.boundingSphere.set(new P(), 1 / 0); + return; + } + if (e) { + const n = this.boundingSphere.center; + if (yt.setFromBufferAttribute(e), t) + for (let s = 0, o = t.length; s < o; s++) { + const a = t[s]; + hi.setFromBufferAttribute(a), this.morphTargetsRelative ? (ut.addVectors(yt.min, hi.min), yt.expandByPoint(ut), ut.addVectors(yt.max, hi.max), yt.expandByPoint(ut)) : (yt.expandByPoint(hi.min), yt.expandByPoint(hi.max)); + } + yt.getCenter(n); + let r = 0; + for (let s = 0, o = e.count; s < o; s++) + ut.fromBufferAttribute(e, s), r = Math.max(r, n.distanceToSquared(ut)); + if (t) + for (let s = 0, o = t.length; s < o; s++) { + const a = t[s], l = this.morphTargetsRelative; + for (let c = 0, h = a.count; c < h; c++) + ut.fromBufferAttribute(a, c), l && (Hn.fromBufferAttribute(e, c), ut.add(Hn)), r = Math.max(r, n.distanceToSquared(ut)); + } + this.boundingSphere.radius = Math.sqrt(r), isNaN(this.boundingSphere.radius) && console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.', this); + } + } + computeTangents() { + const e = this.index, t = this.attributes; + if (e === null || t.position === void 0 || t.normal === void 0 || t.uv === void 0) { + console.error("THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)"); + return; + } + const n = e.array, r = t.position.array, s = t.normal.array, o = t.uv.array, a = r.length / 3; + this.hasAttribute("tangent") === !1 && this.setAttribute("tangent", new Bt(new Float32Array(4 * a), 4)); + const l = this.getAttribute("tangent").array, c = [], h = []; + for (let y = 0; y < a; y++) + c[y] = new P(), h[y] = new P(); + const d = new P(), p = new P(), m = new P(), g = new Ie(), v = new Ie(), f = new Ie(), u = new P(), b = new P(); + function S(y, z, Z) { + d.fromArray(r, y * 3), p.fromArray(r, z * 3), m.fromArray(r, Z * 3), g.fromArray(o, y * 2), v.fromArray(o, z * 2), f.fromArray(o, Z * 2), p.sub(d), m.sub(d), v.sub(g), f.sub(g); + const re = 1 / (v.x * f.y - f.x * v.y); + isFinite(re) && (u.copy(p).multiplyScalar(f.y).addScaledVector(m, -v.y).multiplyScalar(re), b.copy(m).multiplyScalar(v.x).addScaledVector(p, -f.x).multiplyScalar(re), c[y].add(u), c[z].add(u), c[Z].add(u), h[y].add(b), h[z].add(b), h[Z].add(b)); + } + let R = this.groups; + R.length === 0 && (R = [{ + start: 0, + count: n.length + }]); + for (let y = 0, z = R.length; y < z; ++y) { + const Z = R[y], re = Z.start, L = Z.count; + for (let F = re, V = re + L; F < V; F += 3) + S( + n[F + 0], + n[F + 1], + n[F + 2] + ); + } + const D = new P(), C = new P(), A = new P(), W = new P(); + function x(y) { + A.fromArray(s, y * 3), W.copy(A); + const z = c[y]; + D.copy(z), D.sub(A.multiplyScalar(A.dot(z))).normalize(), C.crossVectors(W, z); + const re = C.dot(h[y]) < 0 ? -1 : 1; + l[y * 4] = D.x, l[y * 4 + 1] = D.y, l[y * 4 + 2] = D.z, l[y * 4 + 3] = re; + } + for (let y = 0, z = R.length; y < z; ++y) { + const Z = R[y], re = Z.start, L = Z.count; + for (let F = re, V = re + L; F < V; F += 3) + x(n[F + 0]), x(n[F + 1]), x(n[F + 2]); + } + } + computeVertexNormals() { + const e = this.index, t = this.getAttribute("position"); + if (t !== void 0) { + let n = this.getAttribute("normal"); + if (n === void 0) + n = new Bt(new Float32Array(t.count * 3), 3), this.setAttribute("normal", n); + else + for (let p = 0, m = n.count; p < m; p++) + n.setXYZ(p, 0, 0, 0); + const r = new P(), s = new P(), o = new P(), a = new P(), l = new P(), c = new P(), h = new P(), d = new P(); + if (e) + for (let p = 0, m = e.count; p < m; p += 3) { + const g = e.getX(p + 0), v = e.getX(p + 1), f = e.getX(p + 2); + r.fromBufferAttribute(t, g), s.fromBufferAttribute(t, v), o.fromBufferAttribute(t, f), h.subVectors(o, s), d.subVectors(r, s), h.cross(d), a.fromBufferAttribute(n, g), l.fromBufferAttribute(n, v), c.fromBufferAttribute(n, f), a.add(h), l.add(h), c.add(h), n.setXYZ(g, a.x, a.y, a.z), n.setXYZ(v, l.x, l.y, l.z), n.setXYZ(f, c.x, c.y, c.z); + } + else + for (let p = 0, m = t.count; p < m; p += 3) + r.fromBufferAttribute(t, p + 0), s.fromBufferAttribute(t, p + 1), o.fromBufferAttribute(t, p + 2), h.subVectors(o, s), d.subVectors(r, s), h.cross(d), n.setXYZ(p + 0, h.x, h.y, h.z), n.setXYZ(p + 1, h.x, h.y, h.z), n.setXYZ(p + 2, h.x, h.y, h.z); + this.normalizeNormals(), n.needsUpdate = !0; + } + } + normalizeNormals() { + const e = this.attributes.normal; + for (let t = 0, n = e.count; t < n; t++) + ut.fromBufferAttribute(e, t), ut.normalize(), e.setXYZ(t, ut.x, ut.y, ut.z); + } + toNonIndexed() { + function e(a, l) { + const c = a.array, h = a.itemSize, d = a.normalized, p = new c.constructor(l.length * h); + let m = 0, g = 0; + for (let v = 0, f = l.length; v < f; v++) { + a.isInterleavedBufferAttribute ? m = l[v] * a.data.stride + a.offset : m = l[v] * h; + for (let u = 0; u < h; u++) + p[g++] = c[m++]; + } + return new Bt(p, h, d); + } + if (this.index === null) + return console.warn("THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed."), this; + const t = new hn(), n = this.index.array, r = this.attributes; + for (const a in r) { + const l = r[a], c = e(l, n); + t.setAttribute(a, c); + } + const s = this.morphAttributes; + for (const a in s) { + const l = [], c = s[a]; + for (let h = 0, d = c.length; h < d; h++) { + const p = c[h], m = e(p, n); + l.push(m); + } + t.morphAttributes[a] = l; + } + t.morphTargetsRelative = this.morphTargetsRelative; + const o = this.groups; + for (let a = 0, l = o.length; a < l; a++) { + const c = o[a]; + t.addGroup(c.start, c.count, c.materialIndex); + } + return t; + } + toJSON() { + const e = { + metadata: { + version: 4.6, + type: "BufferGeometry", + generator: "BufferGeometry.toJSON" + } + }; + if (e.uuid = this.uuid, e.type = this.type, this.name !== "" && (e.name = this.name), Object.keys(this.userData).length > 0 && (e.userData = this.userData), this.parameters !== void 0) { + const l = this.parameters; + for (const c in l) + l[c] !== void 0 && (e[c] = l[c]); + return e; + } + e.data = { attributes: {} }; + const t = this.index; + t !== null && (e.data.index = { + type: t.array.constructor.name, + array: Array.prototype.slice.call(t.array) + }); + const n = this.attributes; + for (const l in n) { + const c = n[l]; + e.data.attributes[l] = c.toJSON(e.data); + } + const r = {}; + let s = !1; + for (const l in this.morphAttributes) { + const c = this.morphAttributes[l], h = []; + for (let d = 0, p = c.length; d < p; d++) { + const m = c[d]; + h.push(m.toJSON(e.data)); + } + h.length > 0 && (r[l] = h, s = !0); + } + s && (e.data.morphAttributes = r, e.data.morphTargetsRelative = this.morphTargetsRelative); + const o = this.groups; + o.length > 0 && (e.data.groups = JSON.parse(JSON.stringify(o))); + const a = this.boundingSphere; + return a !== null && (e.data.boundingSphere = { + center: a.center.toArray(), + radius: a.radius + }), e; + } + clone() { + return new this.constructor().copy(this); + } + copy(e) { + this.index = null, this.attributes = {}, this.morphAttributes = {}, this.groups = [], this.boundingBox = null, this.boundingSphere = null; + const t = {}; + this.name = e.name; + const n = e.index; + n !== null && this.setIndex(n.clone(t)); + const r = e.attributes; + for (const c in r) { + const h = r[c]; + this.setAttribute(c, h.clone(t)); + } + const s = e.morphAttributes; + for (const c in s) { + const h = [], d = s[c]; + for (let p = 0, m = d.length; p < m; p++) + h.push(d[p].clone(t)); + this.morphAttributes[c] = h; + } + this.morphTargetsRelative = e.morphTargetsRelative; + const o = e.groups; + for (let c = 0, h = o.length; c < h; c++) { + const d = o[c]; + this.addGroup(d.start, d.count, d.materialIndex); + } + const a = e.boundingBox; + a !== null && (this.boundingBox = a.clone()); + const l = e.boundingSphere; + return l !== null && (this.boundingSphere = l.clone()), this.drawRange.start = e.drawRange.start, this.drawRange.count = e.drawRange.count, this.userData = e.userData, this; + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +const pa = /* @__PURE__ */ new Qe(), gn = /* @__PURE__ */ new To(), Ni = /* @__PURE__ */ new xi(), ma = /* @__PURE__ */ new P(), Vn = /* @__PURE__ */ new P(), kn = /* @__PURE__ */ new P(), Wn = /* @__PURE__ */ new P(), Fr = /* @__PURE__ */ new P(), Fi = /* @__PURE__ */ new P(), Oi = /* @__PURE__ */ new Ie(), Bi = /* @__PURE__ */ new Ie(), zi = /* @__PURE__ */ new Ie(), _a = /* @__PURE__ */ new P(), ga = /* @__PURE__ */ new P(), va = /* @__PURE__ */ new P(), Gi = /* @__PURE__ */ new P(), Hi = /* @__PURE__ */ new P(); +class Ot extends dt { + constructor(e = new hn(), t = new ls()) { + super(), this.isMesh = !0, this.type = "Mesh", this.geometry = e, this.material = t, this.updateMorphTargets(); + } + copy(e, t) { + return super.copy(e, t), e.morphTargetInfluences !== void 0 && (this.morphTargetInfluences = e.morphTargetInfluences.slice()), e.morphTargetDictionary !== void 0 && (this.morphTargetDictionary = Object.assign({}, e.morphTargetDictionary)), this.material = Array.isArray(e.material) ? e.material.slice() : e.material, this.geometry = e.geometry, this; + } + updateMorphTargets() { + const t = this.geometry.morphAttributes, n = Object.keys(t); + if (n.length > 0) { + const r = t[n[0]]; + if (r !== void 0) { + this.morphTargetInfluences = [], this.morphTargetDictionary = {}; + for (let s = 0, o = r.length; s < o; s++) { + const a = r[s].name || String(s); + this.morphTargetInfluences.push(0), this.morphTargetDictionary[a] = s; + } + } + } + } + getVertexPosition(e, t) { + const n = this.geometry, r = n.attributes.position, s = n.morphAttributes.position, o = n.morphTargetsRelative; + t.fromBufferAttribute(r, e); + const a = this.morphTargetInfluences; + if (s && a) { + Fi.set(0, 0, 0); + for (let l = 0, c = s.length; l < c; l++) { + const h = a[l], d = s[l]; + h !== 0 && (Fr.fromBufferAttribute(d, e), o ? Fi.addScaledVector(Fr, h) : Fi.addScaledVector(Fr.sub(t), h)); + } + t.add(Fi); + } + return t; + } + raycast(e, t) { + const n = this.geometry, r = this.material, s = this.matrixWorld; + r !== void 0 && (n.boundingSphere === null && n.computeBoundingSphere(), Ni.copy(n.boundingSphere), Ni.applyMatrix4(s), gn.copy(e.ray).recast(e.near), !(Ni.containsPoint(gn.origin) === !1 && (gn.intersectSphere(Ni, ma) === null || gn.origin.distanceToSquared(ma) > (e.far - e.near) ** 2)) && (pa.copy(s).invert(), gn.copy(e.ray).applyMatrix4(pa), !(n.boundingBox !== null && gn.intersectsBox(n.boundingBox) === !1) && this._computeIntersections(e, t, gn))); + } + _computeIntersections(e, t, n) { + let r; + const s = this.geometry, o = this.material, a = s.index, l = s.attributes.position, c = s.attributes.uv, h = s.attributes.uv1, d = s.attributes.normal, p = s.groups, m = s.drawRange; + if (a !== null) + if (Array.isArray(o)) + for (let g = 0, v = p.length; g < v; g++) { + const f = p[g], u = o[f.materialIndex], b = Math.max(f.start, m.start), S = Math.min(a.count, Math.min(f.start + f.count, m.start + m.count)); + for (let R = b, D = S; R < D; R += 3) { + const C = a.getX(R), A = a.getX(R + 1), W = a.getX(R + 2); + r = Vi(this, u, e, n, c, h, d, C, A, W), r && (r.faceIndex = Math.floor(R / 3), r.face.materialIndex = f.materialIndex, t.push(r)); + } + } + else { + const g = Math.max(0, m.start), v = Math.min(a.count, m.start + m.count); + for (let f = g, u = v; f < u; f += 3) { + const b = a.getX(f), S = a.getX(f + 1), R = a.getX(f + 2); + r = Vi(this, o, e, n, c, h, d, b, S, R), r && (r.faceIndex = Math.floor(f / 3), t.push(r)); + } + } + else if (l !== void 0) + if (Array.isArray(o)) + for (let g = 0, v = p.length; g < v; g++) { + const f = p[g], u = o[f.materialIndex], b = Math.max(f.start, m.start), S = Math.min(l.count, Math.min(f.start + f.count, m.start + m.count)); + for (let R = b, D = S; R < D; R += 3) { + const C = R, A = R + 1, W = R + 2; + r = Vi(this, u, e, n, c, h, d, C, A, W), r && (r.faceIndex = Math.floor(R / 3), r.face.materialIndex = f.materialIndex, t.push(r)); + } + } + else { + const g = Math.max(0, m.start), v = Math.min(l.count, m.start + m.count); + for (let f = g, u = v; f < u; f += 3) { + const b = f, S = f + 1, R = f + 2; + r = Vi(this, o, e, n, c, h, d, b, S, R), r && (r.faceIndex = Math.floor(f / 3), t.push(r)); + } + } + } +} +function cc(i, e, t, n, r, s, o, a) { + let l; + if (e.side === Mt ? l = n.intersectTriangle(o, s, r, !0, a) : l = n.intersectTriangle(r, s, o, e.side === un, a), l === null) return null; + Hi.copy(a), Hi.applyMatrix4(i.matrixWorld); + const c = t.ray.origin.distanceTo(Hi); + return c < t.near || c > t.far ? null : { + distance: c, + point: Hi.clone(), + object: i + }; +} +function Vi(i, e, t, n, r, s, o, a, l, c) { + i.getVertexPosition(a, Vn), i.getVertexPosition(l, kn), i.getVertexPosition(c, Wn); + const h = cc(i, e, t, n, Vn, kn, Wn, Gi); + if (h) { + r && (Oi.fromBufferAttribute(r, a), Bi.fromBufferAttribute(r, l), zi.fromBufferAttribute(r, c), h.uv = It.getInterpolation(Gi, Vn, kn, Wn, Oi, Bi, zi, new Ie())), s && (Oi.fromBufferAttribute(s, a), Bi.fromBufferAttribute(s, l), zi.fromBufferAttribute(s, c), h.uv1 = It.getInterpolation(Gi, Vn, kn, Wn, Oi, Bi, zi, new Ie()), h.uv2 = h.uv1), o && (_a.fromBufferAttribute(o, a), ga.fromBufferAttribute(o, l), va.fromBufferAttribute(o, c), h.normal = It.getInterpolation(Gi, Vn, kn, Wn, _a, ga, va, new P()), h.normal.dot(n.direction) > 0 && h.normal.multiplyScalar(-1)); + const d = { + a, + b: l, + c, + normal: new P(), + materialIndex: 0 + }; + It.getNormal(Vn, kn, Wn, d.normal), h.face = d; + } + return h; +} +class ii extends hn { + constructor(e = 1, t = 1, n = 1, r = 1, s = 1, o = 1) { + super(), this.type = "BoxGeometry", this.parameters = { + width: e, + height: t, + depth: n, + widthSegments: r, + heightSegments: s, + depthSegments: o + }; + const a = this; + r = Math.floor(r), s = Math.floor(s), o = Math.floor(o); + const l = [], c = [], h = [], d = []; + let p = 0, m = 0; + g("z", "y", "x", -1, -1, n, t, e, o, s, 0), g("z", "y", "x", 1, -1, n, t, -e, o, s, 1), g("x", "z", "y", 1, 1, e, n, t, r, o, 2), g("x", "z", "y", 1, -1, e, n, -t, r, o, 3), g("x", "y", "z", 1, -1, e, t, n, r, s, 4), g("x", "y", "z", -1, -1, e, t, -n, r, s, 5), this.setIndex(l), this.setAttribute("position", new Ht(c, 3)), this.setAttribute("normal", new Ht(h, 3)), this.setAttribute("uv", new Ht(d, 2)); + function g(v, f, u, b, S, R, D, C, A, W, x) { + const y = R / A, z = D / W, Z = R / 2, re = D / 2, L = C / 2, F = A + 1, V = W + 1; + let Y = 0, X = 0; + const k = new P(); + for (let q = 0; q < V; q++) { + const Q = q * z - re; + for (let ce = 0; ce < F; ce++) { + const H = ce * y - Z; + k[v] = H * b, k[f] = Q * S, k[u] = L, c.push(k.x, k.y, k.z), k[v] = 0, k[f] = 0, k[u] = C > 0 ? 1 : -1, h.push(k.x, k.y, k.z), d.push(ce / A), d.push(1 - q / W), Y += 1; + } + } + for (let q = 0; q < W; q++) + for (let Q = 0; Q < A; Q++) { + const ce = p + Q + F * q, H = p + Q + F * (q + 1), j = p + (Q + 1) + F * (q + 1), oe = p + (Q + 1) + F * q; + l.push(ce, H, oe), l.push(H, j, oe), X += 6; + } + a.addGroup(m, X, x), m += X, p += Y; + } + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new ii(e.width, e.height, e.depth, e.widthSegments, e.heightSegments, e.depthSegments); + } +} +function ni(i) { + const e = {}; + for (const t in i) { + e[t] = {}; + for (const n in i[t]) { + const r = i[t][n]; + r && (r.isColor || r.isMatrix3 || r.isMatrix4 || r.isVector2 || r.isVector3 || r.isVector4 || r.isTexture || r.isQuaternion) ? r.isRenderTargetTexture ? (console.warn("UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms()."), e[t][n] = null) : e[t][n] = r.clone() : Array.isArray(r) ? e[t][n] = r.slice() : e[t][n] = r; + } + } + return e; +} +function _t(i) { + const e = {}; + for (let t = 0; t < i.length; t++) { + const n = ni(i[t]); + for (const r in n) + e[r] = n[r]; + } + return e; +} +function uc(i) { + const e = []; + for (let t = 0; t < i.length; t++) + e.push(i[t].clone()); + return e; +} +function Co(i) { + return i.getRenderTarget() === null ? i.outputColorSpace : Ke.workingColorSpace; +} +const hc = { clone: ni, merge: _t }; +var dc = `void main() { + gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 ); +}`, fc = `void main() { + gl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 ); +}`; +class wn extends Mi { + constructor(e) { + super(), this.isShaderMaterial = !0, this.type = "ShaderMaterial", this.defines = {}, this.uniforms = {}, this.uniformsGroups = [], this.vertexShader = dc, this.fragmentShader = fc, this.linewidth = 1, this.wireframe = !1, this.wireframeLinewidth = 1, this.fog = !1, this.lights = !1, this.clipping = !1, this.forceSinglePass = !0, this.extensions = { + derivatives: !1, + // set to use derivatives + fragDepth: !1, + // set to use fragment depth values + drawBuffers: !1, + // set to use draw buffers + shaderTextureLOD: !1, + // set to use shader texture LOD + clipCullDistance: !1 + // set to use vertex shader clipping + }, this.defaultAttributeValues = { + color: [1, 1, 1], + uv: [0, 0], + uv1: [0, 0] + }, this.index0AttributeName = void 0, this.uniformsNeedUpdate = !1, this.glslVersion = null, e !== void 0 && this.setValues(e); + } + copy(e) { + return super.copy(e), this.fragmentShader = e.fragmentShader, this.vertexShader = e.vertexShader, this.uniforms = ni(e.uniforms), this.uniformsGroups = uc(e.uniformsGroups), this.defines = Object.assign({}, e.defines), this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.fog = e.fog, this.lights = e.lights, this.clipping = e.clipping, this.extensions = Object.assign({}, e.extensions), this.glslVersion = e.glslVersion, this; + } + toJSON(e) { + const t = super.toJSON(e); + t.glslVersion = this.glslVersion, t.uniforms = {}; + for (const r in this.uniforms) { + const o = this.uniforms[r].value; + o && o.isTexture ? t.uniforms[r] = { + type: "t", + value: o.toJSON(e).uuid + } : o && o.isColor ? t.uniforms[r] = { + type: "c", + value: o.getHex() + } : o && o.isVector2 ? t.uniforms[r] = { + type: "v2", + value: o.toArray() + } : o && o.isVector3 ? t.uniforms[r] = { + type: "v3", + value: o.toArray() + } : o && o.isVector4 ? t.uniforms[r] = { + type: "v4", + value: o.toArray() + } : o && o.isMatrix3 ? t.uniforms[r] = { + type: "m3", + value: o.toArray() + } : o && o.isMatrix4 ? t.uniforms[r] = { + type: "m4", + value: o.toArray() + } : t.uniforms[r] = { + value: o + }; + } + Object.keys(this.defines).length > 0 && (t.defines = this.defines), t.vertexShader = this.vertexShader, t.fragmentShader = this.fragmentShader, t.lights = this.lights, t.clipping = this.clipping; + const n = {}; + for (const r in this.extensions) + this.extensions[r] === !0 && (n[r] = !0); + return Object.keys(n).length > 0 && (t.extensions = n), t; + } +} +class Lo extends dt { + constructor() { + super(), this.isCamera = !0, this.type = "Camera", this.matrixWorldInverse = new Qe(), this.projectionMatrix = new Qe(), this.projectionMatrixInverse = new Qe(), this.coordinateSystem = Zt; + } + copy(e, t) { + return super.copy(e, t), this.matrixWorldInverse.copy(e.matrixWorldInverse), this.projectionMatrix.copy(e.projectionMatrix), this.projectionMatrixInverse.copy(e.projectionMatrixInverse), this.coordinateSystem = e.coordinateSystem, this; + } + getWorldDirection(e) { + return super.getWorldDirection(e).negate(); + } + updateMatrixWorld(e) { + super.updateMatrixWorld(e), this.matrixWorldInverse.copy(this.matrixWorld).invert(); + } + updateWorldMatrix(e, t) { + super.updateWorldMatrix(e, t), this.matrixWorldInverse.copy(this.matrixWorld).invert(); + } + clone() { + return new this.constructor().copy(this); + } +} +class Tt extends Lo { + constructor(e = 50, t = 1, n = 0.1, r = 2e3) { + super(), this.isPerspectiveCamera = !0, this.type = "PerspectiveCamera", this.fov = e, this.zoom = 1, this.near = n, this.far = r, this.focus = 10, this.aspect = t, this.view = null, this.filmGauge = 35, this.filmOffset = 0, this.updateProjectionMatrix(); + } + copy(e, t) { + return super.copy(e, t), this.fov = e.fov, this.zoom = e.zoom, this.near = e.near, this.far = e.far, this.focus = e.focus, this.aspect = e.aspect, this.view = e.view === null ? null : Object.assign({}, e.view), this.filmGauge = e.filmGauge, this.filmOffset = e.filmOffset, this; + } + /** + * Sets the FOV by focal length in respect to the current .filmGauge. + * + * The default film gauge is 35, so that the focal length can be specified for + * a 35mm (full frame) camera. + * + * Values for focal length and film gauge must have the same unit. + */ + setFocalLength(e) { + const t = 0.5 * this.getFilmHeight() / e; + this.fov = ns * 2 * Math.atan(t), this.updateProjectionMatrix(); + } + /** + * Calculates the focal length from the current .fov and .filmGauge. + */ + getFocalLength() { + const e = Math.tan(Ki * 0.5 * this.fov); + return 0.5 * this.getFilmHeight() / e; + } + getEffectiveFOV() { + return ns * 2 * Math.atan( + Math.tan(Ki * 0.5 * this.fov) / this.zoom + ); + } + getFilmWidth() { + return this.filmGauge * Math.min(this.aspect, 1); + } + getFilmHeight() { + return this.filmGauge / Math.max(this.aspect, 1); + } + /** + * Sets an offset in a larger frustum. This is useful for multi-window or + * multi-monitor/multi-machine setups. + * + * For example, if you have 3x2 monitors and each monitor is 1920x1080 and + * the monitors are in grid like this + * + * +---+---+---+ + * | A | B | C | + * +---+---+---+ + * | D | E | F | + * +---+---+---+ + * + * then for each monitor you would call it like this + * + * const w = 1920; + * const h = 1080; + * const fullWidth = w * 3; + * const fullHeight = h * 2; + * + * --A-- + * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h ); + * --B-- + * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h ); + * --C-- + * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h ); + * --D-- + * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h ); + * --E-- + * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h ); + * --F-- + * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h ); + * + * Note there is no reason monitors have to be the same size or in a grid. + */ + setViewOffset(e, t, n, r, s, o) { + this.aspect = e / t, this.view === null && (this.view = { + enabled: !0, + fullWidth: 1, + fullHeight: 1, + offsetX: 0, + offsetY: 0, + width: 1, + height: 1 + }), this.view.enabled = !0, this.view.fullWidth = e, this.view.fullHeight = t, this.view.offsetX = n, this.view.offsetY = r, this.view.width = s, this.view.height = o, this.updateProjectionMatrix(); + } + clearViewOffset() { + this.view !== null && (this.view.enabled = !1), this.updateProjectionMatrix(); + } + updateProjectionMatrix() { + const e = this.near; + let t = e * Math.tan(Ki * 0.5 * this.fov) / this.zoom, n = 2 * t, r = this.aspect * n, s = -0.5 * r; + const o = this.view; + if (this.view !== null && this.view.enabled) { + const l = o.fullWidth, c = o.fullHeight; + s += o.offsetX * r / l, t -= o.offsetY * n / c, r *= o.width / l, n *= o.height / c; + } + const a = this.filmOffset; + a !== 0 && (s += e * a / this.getFilmWidth()), this.projectionMatrix.makePerspective(s, s + r, t, t - n, e, this.far, this.coordinateSystem), this.projectionMatrixInverse.copy(this.projectionMatrix).invert(); + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.fov = this.fov, t.object.zoom = this.zoom, t.object.near = this.near, t.object.far = this.far, t.object.focus = this.focus, t.object.aspect = this.aspect, this.view !== null && (t.object.view = Object.assign({}, this.view)), t.object.filmGauge = this.filmGauge, t.object.filmOffset = this.filmOffset, t; + } +} +const Xn = -90, qn = 1; +class pc extends dt { + constructor(e, t, n) { + super(), this.type = "CubeCamera", this.renderTarget = n, this.coordinateSystem = null, this.activeMipmapLevel = 0; + const r = new Tt(Xn, qn, e, t); + r.layers = this.layers, this.add(r); + const s = new Tt(Xn, qn, e, t); + s.layers = this.layers, this.add(s); + const o = new Tt(Xn, qn, e, t); + o.layers = this.layers, this.add(o); + const a = new Tt(Xn, qn, e, t); + a.layers = this.layers, this.add(a); + const l = new Tt(Xn, qn, e, t); + l.layers = this.layers, this.add(l); + const c = new Tt(Xn, qn, e, t); + c.layers = this.layers, this.add(c); + } + updateCoordinateSystem() { + const e = this.coordinateSystem, t = this.children.concat(), [n, r, s, o, a, l] = t; + for (const c of t) this.remove(c); + if (e === Zt) + n.up.set(0, 1, 0), n.lookAt(1, 0, 0), r.up.set(0, 1, 0), r.lookAt(-1, 0, 0), s.up.set(0, 0, -1), s.lookAt(0, 1, 0), o.up.set(0, 0, 1), o.lookAt(0, -1, 0), a.up.set(0, 1, 0), a.lookAt(0, 0, 1), l.up.set(0, 1, 0), l.lookAt(0, 0, -1); + else if (e === tr) + n.up.set(0, -1, 0), n.lookAt(-1, 0, 0), r.up.set(0, -1, 0), r.lookAt(1, 0, 0), s.up.set(0, 0, 1), s.lookAt(0, 1, 0), o.up.set(0, 0, -1), o.lookAt(0, -1, 0), a.up.set(0, -1, 0), a.lookAt(0, 0, 1), l.up.set(0, -1, 0), l.lookAt(0, 0, -1); + else + throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: " + e); + for (const c of t) + this.add(c), c.updateMatrixWorld(); + } + update(e, t) { + this.parent === null && this.updateMatrixWorld(); + const { renderTarget: n, activeMipmapLevel: r } = this; + this.coordinateSystem !== e.coordinateSystem && (this.coordinateSystem = e.coordinateSystem, this.updateCoordinateSystem()); + const [s, o, a, l, c, h] = this.children, d = e.getRenderTarget(), p = e.getActiveCubeFace(), m = e.getActiveMipmapLevel(), g = e.xr.enabled; + e.xr.enabled = !1; + const v = n.texture.generateMipmaps; + n.texture.generateMipmaps = !1, e.setRenderTarget(n, 0, r), e.render(t, s), e.setRenderTarget(n, 1, r), e.render(t, o), e.setRenderTarget(n, 2, r), e.render(t, a), e.setRenderTarget(n, 3, r), e.render(t, l), e.setRenderTarget(n, 4, r), e.render(t, c), n.texture.generateMipmaps = v, e.setRenderTarget(n, 5, r), e.render(t, h), e.setRenderTarget(d, p, m), e.xr.enabled = g, n.texture.needsPMREMUpdate = !0; + } +} +class Po extends bt { + constructor(e, t, n, r, s, o, a, l, c, h) { + e = e !== void 0 ? e : [], t = t !== void 0 ? t : Qn, super(e, t, n, r, s, o, a, l, c, h), this.isCubeTexture = !0, this.flipY = !1; + } + get images() { + return this.image; + } + set images(e) { + this.image = e; + } +} +class mc extends bn { + constructor(e = 1, t = {}) { + super(e, e, t), this.isWebGLCubeRenderTarget = !0; + const n = { width: e, height: e, depth: 1 }, r = [n, n, n, n, n, n]; + t.encoding !== void 0 && (mi("THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace."), t.colorSpace = t.encoding === Tn ? ht : Ct), this.texture = new Po(r, t.mapping, t.wrapS, t.wrapT, t.magFilter, t.minFilter, t.format, t.type, t.anisotropy, t.colorSpace), this.texture.isRenderTargetTexture = !0, this.texture.generateMipmaps = t.generateMipmaps !== void 0 ? t.generateMipmaps : !1, this.texture.minFilter = t.minFilter !== void 0 ? t.minFilter : Rt; + } + fromEquirectangularTexture(e, t) { + this.texture.type = t.type, this.texture.colorSpace = t.colorSpace, this.texture.generateMipmaps = t.generateMipmaps, this.texture.minFilter = t.minFilter, this.texture.magFilter = t.magFilter; + const n = { + uniforms: { + tEquirect: { value: null } + }, + vertexShader: ( + /* glsl */ + ` + + varying vec3 vWorldDirection; + + vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); + + } + + void main() { + + vWorldDirection = transformDirection( position, modelMatrix ); + + #include + #include + + } + ` + ), + fragmentShader: ( + /* glsl */ + ` + + uniform sampler2D tEquirect; + + varying vec3 vWorldDirection; + + #include + + void main() { + + vec3 direction = normalize( vWorldDirection ); + + vec2 sampleUV = equirectUv( direction ); + + gl_FragColor = texture2D( tEquirect, sampleUV ); + + } + ` + ) + }, r = new ii(5, 5, 5), s = new wn({ + name: "CubemapFromEquirect", + uniforms: ni(n.uniforms), + vertexShader: n.vertexShader, + fragmentShader: n.fragmentShader, + side: Mt, + blending: on + }); + s.uniforms.tEquirect.value = t; + const o = new Ot(r, s), a = t.minFilter; + return t.minFilter === _i && (t.minFilter = Rt), new pc(1, 10, this).update(e, o), t.minFilter = a, o.geometry.dispose(), o.material.dispose(), this; + } + clear(e, t, n, r) { + const s = e.getRenderTarget(); + for (let o = 0; o < 6; o++) + e.setRenderTarget(this, o), e.clear(t, n, r); + e.setRenderTarget(s); + } +} +const Or = /* @__PURE__ */ new P(), _c = /* @__PURE__ */ new P(), gc = /* @__PURE__ */ new Ve(); +class rn { + constructor(e = new P(1, 0, 0), t = 0) { + this.isPlane = !0, this.normal = e, this.constant = t; + } + set(e, t) { + return this.normal.copy(e), this.constant = t, this; + } + setComponents(e, t, n, r) { + return this.normal.set(e, t, n), this.constant = r, this; + } + setFromNormalAndCoplanarPoint(e, t) { + return this.normal.copy(e), this.constant = -t.dot(this.normal), this; + } + setFromCoplanarPoints(e, t, n) { + const r = Or.subVectors(n, t).cross(_c.subVectors(e, t)).normalize(); + return this.setFromNormalAndCoplanarPoint(r, e), this; + } + copy(e) { + return this.normal.copy(e.normal), this.constant = e.constant, this; + } + normalize() { + const e = 1 / this.normal.length(); + return this.normal.multiplyScalar(e), this.constant *= e, this; + } + negate() { + return this.constant *= -1, this.normal.negate(), this; + } + distanceToPoint(e) { + return this.normal.dot(e) + this.constant; + } + distanceToSphere(e) { + return this.distanceToPoint(e.center) - e.radius; + } + projectPoint(e, t) { + return t.copy(e).addScaledVector(this.normal, -this.distanceToPoint(e)); + } + intersectLine(e, t) { + const n = e.delta(Or), r = this.normal.dot(n); + if (r === 0) + return this.distanceToPoint(e.start) === 0 ? t.copy(e.start) : null; + const s = -(e.start.dot(this.normal) + this.constant) / r; + return s < 0 || s > 1 ? null : t.copy(e.start).addScaledVector(n, s); + } + intersectsLine(e) { + const t = this.distanceToPoint(e.start), n = this.distanceToPoint(e.end); + return t < 0 && n > 0 || n < 0 && t > 0; + } + intersectsBox(e) { + return e.intersectsPlane(this); + } + intersectsSphere(e) { + return e.intersectsPlane(this); + } + coplanarPoint(e) { + return e.copy(this.normal).multiplyScalar(-this.constant); + } + applyMatrix4(e, t) { + const n = t || gc.getNormalMatrix(e), r = this.coplanarPoint(Or).applyMatrix4(e), s = this.normal.applyMatrix3(n).normalize(); + return this.constant = -r.dot(s), this; + } + translate(e) { + return this.constant -= e.dot(this.normal), this; + } + equals(e) { + return e.normal.equals(this.normal) && e.constant === this.constant; + } + clone() { + return new this.constructor().copy(this); + } +} +const vn = /* @__PURE__ */ new xi(), ki = /* @__PURE__ */ new P(); +class cs { + constructor(e = new rn(), t = new rn(), n = new rn(), r = new rn(), s = new rn(), o = new rn()) { + this.planes = [e, t, n, r, s, o]; + } + set(e, t, n, r, s, o) { + const a = this.planes; + return a[0].copy(e), a[1].copy(t), a[2].copy(n), a[3].copy(r), a[4].copy(s), a[5].copy(o), this; + } + copy(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) + t[n].copy(e.planes[n]); + return this; + } + setFromProjectionMatrix(e, t = Zt) { + const n = this.planes, r = e.elements, s = r[0], o = r[1], a = r[2], l = r[3], c = r[4], h = r[5], d = r[6], p = r[7], m = r[8], g = r[9], v = r[10], f = r[11], u = r[12], b = r[13], S = r[14], R = r[15]; + if (n[0].setComponents(l - s, p - c, f - m, R - u).normalize(), n[1].setComponents(l + s, p + c, f + m, R + u).normalize(), n[2].setComponents(l + o, p + h, f + g, R + b).normalize(), n[3].setComponents(l - o, p - h, f - g, R - b).normalize(), n[4].setComponents(l - a, p - d, f - v, R - S).normalize(), t === Zt) + n[5].setComponents(l + a, p + d, f + v, R + S).normalize(); + else if (t === tr) + n[5].setComponents(a, d, v, S).normalize(); + else + throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: " + t); + return this; + } + intersectsObject(e) { + if (e.boundingSphere !== void 0) + e.boundingSphere === null && e.computeBoundingSphere(), vn.copy(e.boundingSphere).applyMatrix4(e.matrixWorld); + else { + const t = e.geometry; + t.boundingSphere === null && t.computeBoundingSphere(), vn.copy(t.boundingSphere).applyMatrix4(e.matrixWorld); + } + return this.intersectsSphere(vn); + } + intersectsSprite(e) { + return vn.center.set(0, 0, 0), vn.radius = 0.7071067811865476, vn.applyMatrix4(e.matrixWorld), this.intersectsSphere(vn); + } + intersectsSphere(e) { + const t = this.planes, n = e.center, r = -e.radius; + for (let s = 0; s < 6; s++) + if (t[s].distanceToPoint(n) < r) + return !1; + return !0; + } + intersectsBox(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) { + const r = t[n]; + if (ki.x = r.normal.x > 0 ? e.max.x : e.min.x, ki.y = r.normal.y > 0 ? e.max.y : e.min.y, ki.z = r.normal.z > 0 ? e.max.z : e.min.z, r.distanceToPoint(ki) < 0) + return !1; + } + return !0; + } + containsPoint(e) { + const t = this.planes; + for (let n = 0; n < 6; n++) + if (t[n].distanceToPoint(e) < 0) + return !1; + return !0; + } + clone() { + return new this.constructor().copy(this); + } +} +function Do() { + let i = null, e = !1, t = null, n = null; + function r(s, o) { + t(s, o), n = i.requestAnimationFrame(r); + } + return { + start: function() { + e !== !0 && t !== null && (n = i.requestAnimationFrame(r), e = !0); + }, + stop: function() { + i.cancelAnimationFrame(n), e = !1; + }, + setAnimationLoop: function(s) { + t = s; + }, + setContext: function(s) { + i = s; + } + }; +} +function vc(i, e) { + const t = e.isWebGL2, n = /* @__PURE__ */ new WeakMap(); + function r(c, h) { + const d = c.array, p = c.usage, m = d.byteLength, g = i.createBuffer(); + i.bindBuffer(h, g), i.bufferData(h, d, p), c.onUploadCallback(); + let v; + if (d instanceof Float32Array) + v = i.FLOAT; + else if (d instanceof Uint16Array) + if (c.isFloat16BufferAttribute) + if (t) + v = i.HALF_FLOAT; + else + throw new Error("THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2."); + else + v = i.UNSIGNED_SHORT; + else if (d instanceof Int16Array) + v = i.SHORT; + else if (d instanceof Uint32Array) + v = i.UNSIGNED_INT; + else if (d instanceof Int32Array) + v = i.INT; + else if (d instanceof Int8Array) + v = i.BYTE; + else if (d instanceof Uint8Array) + v = i.UNSIGNED_BYTE; + else if (d instanceof Uint8ClampedArray) + v = i.UNSIGNED_BYTE; + else + throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: " + d); + return { + buffer: g, + type: v, + bytesPerElement: d.BYTES_PER_ELEMENT, + version: c.version, + size: m + }; + } + function s(c, h, d) { + const p = h.array, m = h._updateRange, g = h.updateRanges; + if (i.bindBuffer(d, c), m.count === -1 && g.length === 0 && i.bufferSubData(d, 0, p), g.length !== 0) { + for (let v = 0, f = g.length; v < f; v++) { + const u = g[v]; + t ? i.bufferSubData( + d, + u.start * p.BYTES_PER_ELEMENT, + p, + u.start, + u.count + ) : i.bufferSubData( + d, + u.start * p.BYTES_PER_ELEMENT, + p.subarray(u.start, u.start + u.count) + ); + } + h.clearUpdateRanges(); + } + m.count !== -1 && (t ? i.bufferSubData( + d, + m.offset * p.BYTES_PER_ELEMENT, + p, + m.offset, + m.count + ) : i.bufferSubData( + d, + m.offset * p.BYTES_PER_ELEMENT, + p.subarray(m.offset, m.offset + m.count) + ), m.count = -1), h.onUploadCallback(); + } + function o(c) { + return c.isInterleavedBufferAttribute && (c = c.data), n.get(c); + } + function a(c) { + c.isInterleavedBufferAttribute && (c = c.data); + const h = n.get(c); + h && (i.deleteBuffer(h.buffer), n.delete(c)); + } + function l(c, h) { + if (c.isGLBufferAttribute) { + const p = n.get(c); + (!p || p.version < c.version) && n.set(c, { + buffer: c.buffer, + type: c.type, + bytesPerElement: c.elementSize, + version: c.version + }); + return; + } + c.isInterleavedBufferAttribute && (c = c.data); + const d = n.get(c); + if (d === void 0) + n.set(c, r(c, h)); + else if (d.version < c.version) { + if (d.size !== c.array.byteLength) + throw new Error("THREE.WebGLAttributes: The size of the buffer attribute's array buffer does not match the original size. Resizing buffer attributes is not supported."); + s(d.buffer, c, h), d.version = c.version; + } + } + return { + get: o, + remove: a, + update: l + }; +} +class us extends hn { + constructor(e = 1, t = 1, n = 1, r = 1) { + super(), this.type = "PlaneGeometry", this.parameters = { + width: e, + height: t, + widthSegments: n, + heightSegments: r + }; + const s = e / 2, o = t / 2, a = Math.floor(n), l = Math.floor(r), c = a + 1, h = l + 1, d = e / a, p = t / l, m = [], g = [], v = [], f = []; + for (let u = 0; u < h; u++) { + const b = u * p - o; + for (let S = 0; S < c; S++) { + const R = S * d - s; + g.push(R, -b, 0), v.push(0, 0, 1), f.push(S / a), f.push(1 - u / l); + } + } + for (let u = 0; u < l; u++) + for (let b = 0; b < a; b++) { + const S = b + c * u, R = b + c * (u + 1), D = b + 1 + c * (u + 1), C = b + 1 + c * u; + m.push(S, R, C), m.push(R, D, C); + } + this.setIndex(m), this.setAttribute("position", new Ht(g, 3)), this.setAttribute("normal", new Ht(v, 3)), this.setAttribute("uv", new Ht(f, 2)); + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new us(e.width, e.height, e.widthSegments, e.heightSegments); + } +} +var xc = `#ifdef USE_ALPHAHASH + if ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard; +#endif`, Mc = `#ifdef USE_ALPHAHASH + const float ALPHA_HASH_SCALE = 0.05; + float hash2D( vec2 value ) { + return fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) ); + } + float hash3D( vec3 value ) { + return hash2D( vec2( hash2D( value.xy ), value.z ) ); + } + float getAlphaHashThreshold( vec3 position ) { + float maxDeriv = max( + length( dFdx( position.xyz ) ), + length( dFdy( position.xyz ) ) + ); + float pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv ); + vec2 pixScales = vec2( + exp2( floor( log2( pixScale ) ) ), + exp2( ceil( log2( pixScale ) ) ) + ); + vec2 alpha = vec2( + hash3D( floor( pixScales.x * position.xyz ) ), + hash3D( floor( pixScales.y * position.xyz ) ) + ); + float lerpFactor = fract( log2( pixScale ) ); + float x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y; + float a = min( lerpFactor, 1.0 - lerpFactor ); + vec3 cases = vec3( + x * x / ( 2.0 * a * ( 1.0 - a ) ), + ( x - 0.5 * a ) / ( 1.0 - a ), + 1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) ) + ); + float threshold = ( x < ( 1.0 - a ) ) + ? ( ( x < a ) ? cases.x : cases.y ) + : cases.z; + return clamp( threshold , 1.0e-6, 1.0 ); + } +#endif`, Sc = `#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g; +#endif`, Ec = `#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`, yc = `#ifdef USE_ALPHATEST + if ( diffuseColor.a < alphaTest ) discard; +#endif`, Tc = `#ifdef USE_ALPHATEST + uniform float alphaTest; +#endif`, bc = `#ifdef USE_AOMAP + float ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0; + reflectedLight.indirectDiffuse *= ambientOcclusion; + #if defined( USE_CLEARCOAT ) + clearcoatSpecularIndirect *= ambientOcclusion; + #endif + #if defined( USE_SHEEN ) + sheenSpecularIndirect *= ambientOcclusion; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) + float dotNV = saturate( dot( geometryNormal, geometryViewDir ) ); + reflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness ); + #endif +#endif`, Ac = `#ifdef USE_AOMAP + uniform sampler2D aoMap; + uniform float aoMapIntensity; +#endif`, wc = `#ifdef USE_BATCHING + attribute float batchId; + uniform highp sampler2D batchingTexture; + mat4 getBatchingMatrix( const in float i ) { + int size = textureSize( batchingTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`, Rc = `#ifdef USE_BATCHING + mat4 batchingMatrix = getBatchingMatrix( batchId ); +#endif`, Cc = `vec3 transformed = vec3( position ); +#ifdef USE_ALPHAHASH + vPosition = vec3( position ); +#endif`, Lc = `vec3 objectNormal = vec3( normal ); +#ifdef USE_TANGENT + vec3 objectTangent = vec3( tangent.xyz ); +#endif`, Pc = `float G_BlinnPhong_Implicit( ) { + return 0.25; +} +float D_BlinnPhong( const in float shininess, const in float dotNH ) { + return RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess ); +} +vec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( specularColor, 1.0, dotVH ); + float G = G_BlinnPhong_Implicit( ); + float D = D_BlinnPhong( shininess, dotNH ); + return F * ( G * D ); +} // validated`, Dc = `#ifdef USE_IRIDESCENCE + const mat3 XYZ_TO_REC709 = mat3( + 3.2404542, -0.9692660, 0.0556434, + -1.5371385, 1.8760108, -0.2040259, + -0.4985314, 0.0415560, 1.0572252 + ); + vec3 Fresnel0ToIor( vec3 fresnel0 ) { + vec3 sqrtF0 = sqrt( fresnel0 ); + return ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 ); + } + vec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) { + return pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) ); + } + float IorToFresnel0( float transmittedIor, float incidentIor ) { + return pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor )); + } + vec3 evalSensitivity( float OPD, vec3 shift ) { + float phase = 2.0 * PI * OPD * 1.0e-9; + vec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 ); + vec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 ); + vec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 ); + vec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var ); + xyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) ); + xyz /= 1.0685e-7; + vec3 rgb = XYZ_TO_REC709 * xyz; + return rgb; + } + vec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) { + vec3 I; + float iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) ); + float sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) ); + float cosTheta2Sq = 1.0 - sinTheta2Sq; + if ( cosTheta2Sq < 0.0 ) { + return vec3( 1.0 ); + } + float cosTheta2 = sqrt( cosTheta2Sq ); + float R0 = IorToFresnel0( iridescenceIOR, outsideIOR ); + float R12 = F_Schlick( R0, 1.0, cosTheta1 ); + float T121 = 1.0 - R12; + float phi12 = 0.0; + if ( iridescenceIOR < outsideIOR ) phi12 = PI; + float phi21 = PI - phi12; + vec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) ); vec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR ); + vec3 R23 = F_Schlick( R1, 1.0, cosTheta2 ); + vec3 phi23 = vec3( 0.0 ); + if ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI; + if ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI; + if ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI; + float OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2; + vec3 phi = vec3( phi21 ) + phi23; + vec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 ); + vec3 r123 = sqrt( R123 ); + vec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 ); + vec3 C0 = R12 + Rs; + I = C0; + vec3 Cm = Rs - T121; + for ( int m = 1; m <= 2; ++ m ) { + Cm *= r123; + vec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi ); + I += Cm * Sm; + } + return max( I, vec3( 0.0 ) ); + } +#endif`, Uc = `#ifdef USE_BUMPMAP + uniform sampler2D bumpMap; + uniform float bumpScale; + vec2 dHdxy_fwd() { + vec2 dSTdx = dFdx( vBumpMapUv ); + vec2 dSTdy = dFdy( vBumpMapUv ); + float Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x; + float dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll; + float dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll; + return vec2( dBx, dBy ); + } + vec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) { + vec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) ); + vec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) ); + vec3 vN = surf_norm; + vec3 R1 = cross( vSigmaY, vN ); + vec3 R2 = cross( vN, vSigmaX ); + float fDet = dot( vSigmaX, R1 ) * faceDirection; + vec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 ); + return normalize( abs( fDet ) * surf_norm - vGrad ); + } +#endif`, Ic = `#if NUM_CLIPPING_PLANES > 0 + vec4 plane; + #pragma unroll_loop_start + for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard; + } + #pragma unroll_loop_end + #if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES + bool clipped = true; + #pragma unroll_loop_start + for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) { + plane = clippingPlanes[ i ]; + clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped; + } + #pragma unroll_loop_end + if ( clipped ) discard; + #endif +#endif`, Nc = `#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; + uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ]; +#endif`, Fc = `#if NUM_CLIPPING_PLANES > 0 + varying vec3 vClipPosition; +#endif`, Oc = `#if NUM_CLIPPING_PLANES > 0 + vClipPosition = - mvPosition.xyz; +#endif`, Bc = `#if defined( USE_COLOR_ALPHA ) + diffuseColor *= vColor; +#elif defined( USE_COLOR ) + diffuseColor.rgb *= vColor; +#endif`, zc = `#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) + varying vec3 vColor; +#endif`, Gc = `#if defined( USE_COLOR_ALPHA ) + varying vec4 vColor; +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) + varying vec3 vColor; +#endif`, Hc = `#if defined( USE_COLOR_ALPHA ) + vColor = vec4( 1.0 ); +#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) + vColor = vec3( 1.0 ); +#endif +#ifdef USE_COLOR + vColor *= color; +#endif +#ifdef USE_INSTANCING_COLOR + vColor.xyz *= instanceColor.xyz; +#endif`, Vc = `#define PI 3.141592653589793 +#define PI2 6.283185307179586 +#define PI_HALF 1.5707963267948966 +#define RECIPROCAL_PI 0.3183098861837907 +#define RECIPROCAL_PI2 0.15915494309189535 +#define EPSILON 1e-6 +#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +#define whiteComplement( a ) ( 1.0 - saturate( a ) ) +float pow2( const in float x ) { return x*x; } +vec3 pow2( const in vec3 x ) { return x*x; } +float pow3( const in float x ) { return x*x*x; } +float pow4( const in float x ) { float x2 = x*x; return x2*x2; } +float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); } +float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); } +highp float rand( const in vec2 uv ) { + const highp float a = 12.9898, b = 78.233, c = 43758.5453; + highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI ); + return fract( sin( sn ) * c ); +} +#ifdef HIGH_PRECISION + float precisionSafeLength( vec3 v ) { return length( v ); } +#else + float precisionSafeLength( vec3 v ) { + float maxComponent = max3( abs( v ) ); + return length( v / maxComponent ) * maxComponent; + } +#endif +struct IncidentLight { + vec3 color; + vec3 direction; + bool visible; +}; +struct ReflectedLight { + vec3 directDiffuse; + vec3 directSpecular; + vec3 indirectDiffuse; + vec3 indirectSpecular; +}; +#ifdef USE_ALPHAHASH + varying vec3 vPosition; +#endif +vec3 transformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz ); +} +vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) { + return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz ); +} +mat3 transposeMat3( const in mat3 m ) { + mat3 tmp; + tmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x ); + tmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y ); + tmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z ); + return tmp; +} +float luminance( const in vec3 rgb ) { + const vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 ); + return dot( weights, rgb ); +} +bool isPerspectiveMatrix( mat4 m ) { + return m[ 2 ][ 3 ] == - 1.0; +} +vec2 equirectUv( in vec3 dir ) { + float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5; + float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5; + return vec2( u, v ); +} +vec3 BRDF_Lambert( const in vec3 diffuseColor ) { + return RECIPROCAL_PI * diffuseColor; +} +vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} +float F_Schlick( const in float f0, const in float f90, const in float dotVH ) { + float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH ); + return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel ); +} // validated`, kc = `#ifdef ENVMAP_TYPE_CUBE_UV + #define cubeUV_minMipLevel 4.0 + #define cubeUV_minTileSize 16.0 + float getFace( vec3 direction ) { + vec3 absDirection = abs( direction ); + float face = - 1.0; + if ( absDirection.x > absDirection.z ) { + if ( absDirection.x > absDirection.y ) + face = direction.x > 0.0 ? 0.0 : 3.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } else { + if ( absDirection.z > absDirection.y ) + face = direction.z > 0.0 ? 2.0 : 5.0; + else + face = direction.y > 0.0 ? 1.0 : 4.0; + } + return face; + } + vec2 getUV( vec3 direction, float face ) { + vec2 uv; + if ( face == 0.0 ) { + uv = vec2( direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 1.0 ) { + uv = vec2( - direction.x, - direction.z ) / abs( direction.y ); + } else if ( face == 2.0 ) { + uv = vec2( - direction.x, direction.y ) / abs( direction.z ); + } else if ( face == 3.0 ) { + uv = vec2( - direction.z, direction.y ) / abs( direction.x ); + } else if ( face == 4.0 ) { + uv = vec2( - direction.x, direction.z ) / abs( direction.y ); + } else { + uv = vec2( direction.x, direction.y ) / abs( direction.z ); + } + return 0.5 * ( uv + 1.0 ); + } + vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) { + float face = getFace( direction ); + float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 ); + mipInt = max( mipInt, cubeUV_minMipLevel ); + float faceSize = exp2( mipInt ); + highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0; + if ( face > 2.0 ) { + uv.y += faceSize; + face -= 3.0; + } + uv.x += face * faceSize; + uv.x += filterInt * 3.0 * cubeUV_minTileSize; + uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize ); + uv.x *= CUBEUV_TEXEL_WIDTH; + uv.y *= CUBEUV_TEXEL_HEIGHT; + #ifdef texture2DGradEXT + return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb; + #else + return texture2D( envMap, uv ).rgb; + #endif + } + #define cubeUV_r0 1.0 + #define cubeUV_m0 - 2.0 + #define cubeUV_r1 0.8 + #define cubeUV_m1 - 1.0 + #define cubeUV_r4 0.4 + #define cubeUV_m4 2.0 + #define cubeUV_r5 0.305 + #define cubeUV_m5 3.0 + #define cubeUV_r6 0.21 + #define cubeUV_m6 4.0 + float roughnessToMip( float roughness ) { + float mip = 0.0; + if ( roughness >= cubeUV_r1 ) { + mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0; + } else if ( roughness >= cubeUV_r4 ) { + mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1; + } else if ( roughness >= cubeUV_r5 ) { + mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4; + } else if ( roughness >= cubeUV_r6 ) { + mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5; + } else { + mip = - 2.0 * log2( 1.16 * roughness ); } + return mip; + } + vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) { + float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP ); + float mipF = fract( mip ); + float mipInt = floor( mip ); + vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt ); + if ( mipF == 0.0 ) { + return vec4( color0, 1.0 ); + } else { + vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 ); + return vec4( mix( color0, color1, mipF ), 1.0 ); + } + } +#endif`, Wc = `vec3 transformedNormal = objectNormal; +#ifdef USE_TANGENT + vec3 transformedTangent = objectTangent; +#endif +#ifdef USE_BATCHING + mat3 bm = mat3( batchingMatrix ); + transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) ); + transformedNormal = bm * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = bm * transformedTangent; + #endif +#endif +#ifdef USE_INSTANCING + mat3 im = mat3( instanceMatrix ); + transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) ); + transformedNormal = im * transformedNormal; + #ifdef USE_TANGENT + transformedTangent = im * transformedTangent; + #endif +#endif +transformedNormal = normalMatrix * transformedNormal; +#ifdef FLIP_SIDED + transformedNormal = - transformedNormal; +#endif +#ifdef USE_TANGENT + transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz; + #ifdef FLIP_SIDED + transformedTangent = - transformedTangent; + #endif +#endif`, Xc = `#ifdef USE_DISPLACEMENTMAP + uniform sampler2D displacementMap; + uniform float displacementScale; + uniform float displacementBias; +#endif`, qc = `#ifdef USE_DISPLACEMENTMAP + transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias ); +#endif`, Yc = `#ifdef USE_EMISSIVEMAP + vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv ); + totalEmissiveRadiance *= emissiveColor.rgb; +#endif`, jc = `#ifdef USE_EMISSIVEMAP + uniform sampler2D emissiveMap; +#endif`, Kc = "gl_FragColor = linearToOutputTexel( gl_FragColor );", Zc = ` +const mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3( + vec3( 0.8224621, 0.177538, 0.0 ), + vec3( 0.0331941, 0.9668058, 0.0 ), + vec3( 0.0170827, 0.0723974, 0.9105199 ) +); +const mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3( + vec3( 1.2249401, - 0.2249404, 0.0 ), + vec3( - 0.0420569, 1.0420571, 0.0 ), + vec3( - 0.0196376, - 0.0786361, 1.0982735 ) +); +vec4 LinearSRGBToLinearDisplayP3( in vec4 value ) { + return vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a ); +} +vec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) { + return vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a ); +} +vec4 LinearTransferOETF( in vec4 value ) { + return value; +} +vec4 sRGBTransferOETF( in vec4 value ) { + return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a ); +} +vec4 LinearToLinear( in vec4 value ) { + return value; +} +vec4 LinearTosRGB( in vec4 value ) { + return sRGBTransferOETF( value ); +}`, $c = `#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vec3 cameraToFrag; + if ( isOrthographic ) { + cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToFrag = normalize( vWorldPosition - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vec3 reflectVec = reflect( cameraToFrag, worldNormal ); + #else + vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio ); + #endif + #else + vec3 reflectVec = vReflect; + #endif + #ifdef ENVMAP_TYPE_CUBE + vec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) ); + #else + vec4 envColor = vec4( 0.0 ); + #endif + #ifdef ENVMAP_BLENDING_MULTIPLY + outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_MIX ) + outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity ); + #elif defined( ENVMAP_BLENDING_ADD ) + outgoingLight += envColor.xyz * specularStrength * reflectivity; + #endif +#endif`, Jc = `#ifdef USE_ENVMAP + uniform float envMapIntensity; + uniform float flipEnvMap; + #ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; + #else + uniform sampler2D envMap; + #endif + +#endif`, Qc = `#ifdef USE_ENVMAP + uniform float reflectivity; + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + varying vec3 vWorldPosition; + uniform float refractionRatio; + #else + varying vec3 vReflect; + #endif +#endif`, eu = `#ifdef USE_ENVMAP + #if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT ) + #define ENV_WORLDPOS + #endif + #ifdef ENV_WORLDPOS + + varying vec3 vWorldPosition; + #else + varying vec3 vReflect; + uniform float refractionRatio; + #endif +#endif`, tu = `#ifdef USE_ENVMAP + #ifdef ENV_WORLDPOS + vWorldPosition = worldPosition.xyz; + #else + vec3 cameraToVertex; + if ( isOrthographic ) { + cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) ); + } else { + cameraToVertex = normalize( worldPosition.xyz - cameraPosition ); + } + vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + #ifdef ENVMAP_MODE_REFLECTION + vReflect = reflect( cameraToVertex, worldNormal ); + #else + vReflect = refract( cameraToVertex, worldNormal, refractionRatio ); + #endif + #endif +#endif`, nu = `#ifdef USE_FOG + vFogDepth = - mvPosition.z; +#endif`, iu = `#ifdef USE_FOG + varying float vFogDepth; +#endif`, ru = `#ifdef USE_FOG + #ifdef FOG_EXP2 + float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth ); + #else + float fogFactor = smoothstep( fogNear, fogFar, vFogDepth ); + #endif + gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor ); +#endif`, su = `#ifdef USE_FOG + uniform vec3 fogColor; + varying float vFogDepth; + #ifdef FOG_EXP2 + uniform float fogDensity; + #else + uniform float fogNear; + uniform float fogFar; + #endif +#endif`, au = `#ifdef USE_GRADIENTMAP + uniform sampler2D gradientMap; +#endif +vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) { + float dotNL = dot( normal, lightDirection ); + vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 ); + #ifdef USE_GRADIENTMAP + return vec3( texture2D( gradientMap, coord ).r ); + #else + vec2 fw = fwidth( coord ) * 0.5; + return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) ); + #endif +}`, ou = `#ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + reflectedLight.indirectDiffuse += lightMapIrradiance; +#endif`, lu = `#ifdef USE_LIGHTMAP + uniform sampler2D lightMap; + uniform float lightMapIntensity; +#endif`, cu = `LambertMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularStrength = specularStrength;`, uu = `varying vec3 vViewPosition; +struct LambertMaterial { + vec3 diffuseColor; + float specularStrength; +}; +void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Lambert +#define RE_IndirectDiffuse RE_IndirectDiffuse_Lambert`, hu = `uniform bool receiveShadow; +uniform vec3 ambientLightColor; +#if defined( USE_LIGHT_PROBES ) + uniform vec3 lightProbe[ 9 ]; +#endif +vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) { + float x = normal.x, y = normal.y, z = normal.z; + vec3 result = shCoefficients[ 0 ] * 0.886227; + result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y; + result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z; + result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x; + result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y; + result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z; + result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 ); + result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z; + result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y ); + return result; +} +vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) { + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe ); + return irradiance; +} +vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) { + vec3 irradiance = ambientLightColor; + return irradiance; +} +float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) { + #if defined ( LEGACY_LIGHTS ) + if ( cutoffDistance > 0.0 && decayExponent > 0.0 ) { + return pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent ); + } + return 1.0; + #else + float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 ); + if ( cutoffDistance > 0.0 ) { + distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) ); + } + return distanceFalloff; + #endif +} +float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) { + return smoothstep( coneCosine, penumbraCosine, angleCosine ); +} +#if NUM_DIR_LIGHTS > 0 + struct DirectionalLight { + vec3 direction; + vec3 color; + }; + uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ]; + void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) { + light.color = directionalLight.color; + light.direction = directionalLight.direction; + light.visible = true; + } +#endif +#if NUM_POINT_LIGHTS > 0 + struct PointLight { + vec3 position; + vec3 color; + float distance; + float decay; + }; + uniform PointLight pointLights[ NUM_POINT_LIGHTS ]; + void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = pointLight.position - geometryPosition; + light.direction = normalize( lVector ); + float lightDistance = length( lVector ); + light.color = pointLight.color; + light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } +#endif +#if NUM_SPOT_LIGHTS > 0 + struct SpotLight { + vec3 position; + vec3 direction; + vec3 color; + float distance; + float decay; + float coneCos; + float penumbraCos; + }; + uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ]; + void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) { + vec3 lVector = spotLight.position - geometryPosition; + light.direction = normalize( lVector ); + float angleCos = dot( light.direction, spotLight.direction ); + float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos ); + if ( spotAttenuation > 0.0 ) { + float lightDistance = length( lVector ); + light.color = spotLight.color * spotAttenuation; + light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay ); + light.visible = ( light.color != vec3( 0.0 ) ); + } else { + light.color = vec3( 0.0 ); + light.visible = false; + } + } +#endif +#if NUM_RECT_AREA_LIGHTS > 0 + struct RectAreaLight { + vec3 color; + vec3 position; + vec3 halfWidth; + vec3 halfHeight; + }; + uniform sampler2D ltc_1; uniform sampler2D ltc_2; + uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ]; +#endif +#if NUM_HEMI_LIGHTS > 0 + struct HemisphereLight { + vec3 direction; + vec3 skyColor; + vec3 groundColor; + }; + uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ]; + vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) { + float dotNL = dot( normal, hemiLight.direction ); + float hemiDiffuseWeight = 0.5 * dotNL + 0.5; + vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight ); + return irradiance; + } +#endif`, du = `#ifdef USE_ENVMAP + vec3 getIBLIrradiance( const in vec3 normal ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 worldNormal = inverseTransformDirection( normal, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 ); + return PI * envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 reflectVec = reflect( - viewDir, normal ); + reflectVec = normalize( mix( reflectVec, normal, roughness * roughness) ); + reflectVec = inverseTransformDirection( reflectVec, viewMatrix ); + vec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness ); + return envMapColor.rgb * envMapIntensity; + #else + return vec3( 0.0 ); + #endif + } + #ifdef USE_ANISOTROPY + vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) { + #ifdef ENVMAP_TYPE_CUBE_UV + vec3 bentNormal = cross( bitangent, viewDir ); + bentNormal = normalize( cross( bentNormal, bitangent ) ); + bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) ); + return getIBLRadiance( viewDir, bentNormal, roughness ); + #else + return vec3( 0.0 ); + #endif + } + #endif +#endif`, fu = `ToonMaterial material; +material.diffuseColor = diffuseColor.rgb;`, pu = `varying vec3 vViewPosition; +struct ToonMaterial { + vec3 diffuseColor; +}; +void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_Toon +#define RE_IndirectDiffuse RE_IndirectDiffuse_Toon`, mu = `BlinnPhongMaterial material; +material.diffuseColor = diffuseColor.rgb; +material.specularColor = specular; +material.specularShininess = shininess; +material.specularStrength = specularStrength;`, _u = `varying vec3 vViewPosition; +struct BlinnPhongMaterial { + vec3 diffuseColor; + vec3 specularColor; + float specularShininess; + float specularStrength; +}; +void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); + reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength; +} +void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +#define RE_Direct RE_Direct_BlinnPhong +#define RE_IndirectDiffuse RE_IndirectDiffuse_BlinnPhong`, gu = `PhysicalMaterial material; +material.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor ); +vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) ); +float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z ); +material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness; +material.roughness = min( material.roughness, 1.0 ); +#ifdef IOR + material.ior = ior; + #ifdef USE_SPECULAR + float specularIntensityFactor = specularIntensity; + vec3 specularColorFactor = specularColor; + #ifdef USE_SPECULAR_COLORMAP + specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a; + #endif + material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor ); + #else + float specularIntensityFactor = 1.0; + vec3 specularColorFactor = vec3( 1.0 ); + material.specularF90 = 1.0; + #endif + material.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor ); +#else + material.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor ); + material.specularF90 = 1.0; +#endif +#ifdef USE_CLEARCOAT + material.clearcoat = clearcoat; + material.clearcoatRoughness = clearcoatRoughness; + material.clearcoatF0 = vec3( 0.04 ); + material.clearcoatF90 = 1.0; + #ifdef USE_CLEARCOATMAP + material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x; + #endif + #ifdef USE_CLEARCOAT_ROUGHNESSMAP + material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y; + #endif + material.clearcoat = saturate( material.clearcoat ); material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 ); + material.clearcoatRoughness += geometryRoughness; + material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 ); +#endif +#ifdef USE_IRIDESCENCE + material.iridescence = iridescence; + material.iridescenceIOR = iridescenceIOR; + #ifdef USE_IRIDESCENCEMAP + material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r; + #endif + #ifdef USE_IRIDESCENCE_THICKNESSMAP + material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum; + #else + material.iridescenceThickness = iridescenceThicknessMaximum; + #endif +#endif +#ifdef USE_SHEEN + material.sheenColor = sheenColor; + #ifdef USE_SHEEN_COLORMAP + material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb; + #endif + material.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 ); + #ifdef USE_SHEEN_ROUGHNESSMAP + material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a; + #endif +#endif +#ifdef USE_ANISOTROPY + #ifdef USE_ANISOTROPYMAP + mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x ); + vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb; + vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b; + #else + vec2 anisotropyV = anisotropyVector; + #endif + material.anisotropy = length( anisotropyV ); + if( material.anisotropy == 0.0 ) { + anisotropyV = vec2( 1.0, 0.0 ); + } else { + anisotropyV /= material.anisotropy; + material.anisotropy = saturate( material.anisotropy ); + } + material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) ); + material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y; + material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y; +#endif`, vu = `struct PhysicalMaterial { + vec3 diffuseColor; + float roughness; + vec3 specularColor; + float specularF90; + #ifdef USE_CLEARCOAT + float clearcoat; + float clearcoatRoughness; + vec3 clearcoatF0; + float clearcoatF90; + #endif + #ifdef USE_IRIDESCENCE + float iridescence; + float iridescenceIOR; + float iridescenceThickness; + vec3 iridescenceFresnel; + vec3 iridescenceF0; + #endif + #ifdef USE_SHEEN + vec3 sheenColor; + float sheenRoughness; + #endif + #ifdef IOR + float ior; + #endif + #ifdef USE_TRANSMISSION + float transmission; + float transmissionAlpha; + float thickness; + float attenuationDistance; + vec3 attenuationColor; + #endif + #ifdef USE_ANISOTROPY + float anisotropy; + float alphaT; + vec3 anisotropyT; + vec3 anisotropyB; + #endif +}; +vec3 clearcoatSpecularDirect = vec3( 0.0 ); +vec3 clearcoatSpecularIndirect = vec3( 0.0 ); +vec3 sheenSpecularDirect = vec3( 0.0 ); +vec3 sheenSpecularIndirect = vec3(0.0 ); +vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) { + float x = clamp( 1.0 - dotVH, 0.0, 1.0 ); + float x2 = x * x; + float x5 = clamp( x * x2 * x2, 0.0, 0.9999 ); + return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 ); +} +float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) { + float a2 = pow2( alpha ); + float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) ); + float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) ); + return 0.5 / max( gv + gl, EPSILON ); +} +float D_GGX( const in float alpha, const in float dotNH ) { + float a2 = pow2( alpha ); + float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; + return RECIPROCAL_PI * a2 / pow2( denom ); +} +#ifdef USE_ANISOTROPY + float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) { + float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) ); + float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) ); + float v = 0.5 / ( gv + gl ); + return saturate(v); + } + float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) { + float a2 = alphaT * alphaB; + highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH ); + highp float v2 = dot( v, v ); + float w2 = a2 / v2; + return RECIPROCAL_PI * a2 * pow2 ( w2 ); + } +#endif +#ifdef USE_CLEARCOAT + vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) { + vec3 f0 = material.clearcoatF0; + float f90 = material.clearcoatF90; + float roughness = material.clearcoatRoughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + return F * ( V * D ); + } +#endif +vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) { + vec3 f0 = material.specularColor; + float f90 = material.specularF90; + float roughness = material.roughness; + float alpha = pow2( roughness ); + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float dotVH = saturate( dot( viewDir, halfDir ) ); + vec3 F = F_Schlick( f0, f90, dotVH ); + #ifdef USE_IRIDESCENCE + F = mix( F, material.iridescenceFresnel, material.iridescence ); + #endif + #ifdef USE_ANISOTROPY + float dotTL = dot( material.anisotropyT, lightDir ); + float dotTV = dot( material.anisotropyT, viewDir ); + float dotTH = dot( material.anisotropyT, halfDir ); + float dotBL = dot( material.anisotropyB, lightDir ); + float dotBV = dot( material.anisotropyB, viewDir ); + float dotBH = dot( material.anisotropyB, halfDir ); + float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL ); + float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH ); + #else + float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV ); + float D = D_GGX( alpha, dotNH ); + #endif + return F * ( V * D ); +} +vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) { + const float LUT_SIZE = 64.0; + const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE; + const float LUT_BIAS = 0.5 / LUT_SIZE; + float dotNV = saturate( dot( N, V ) ); + vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) ); + uv = uv * LUT_SCALE + LUT_BIAS; + return uv; +} +float LTC_ClippedSphereFormFactor( const in vec3 f ) { + float l = length( f ); + return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 ); +} +vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) { + float x = dot( v1, v2 ); + float y = abs( x ); + float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y; + float b = 3.4175940 + ( 4.1616724 + y ) * y; + float v = a / b; + float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v; + return cross( v1, v2 ) * theta_sintheta; +} +vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) { + vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ]; + vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ]; + vec3 lightNormal = cross( v1, v2 ); + if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 ); + vec3 T1, T2; + T1 = normalize( V - N * dot( V, N ) ); + T2 = - cross( N, T1 ); + mat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) ); + vec3 coords[ 4 ]; + coords[ 0 ] = mat * ( rectCoords[ 0 ] - P ); + coords[ 1 ] = mat * ( rectCoords[ 1 ] - P ); + coords[ 2 ] = mat * ( rectCoords[ 2 ] - P ); + coords[ 3 ] = mat * ( rectCoords[ 3 ] - P ); + coords[ 0 ] = normalize( coords[ 0 ] ); + coords[ 1 ] = normalize( coords[ 1 ] ); + coords[ 2 ] = normalize( coords[ 2 ] ); + coords[ 3 ] = normalize( coords[ 3 ] ); + vec3 vectorFormFactor = vec3( 0.0 ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] ); + vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] ); + float result = LTC_ClippedSphereFormFactor( vectorFormFactor ); + return vec3( result ); +} +#if defined( USE_SHEEN ) +float D_Charlie( float roughness, float dotNH ) { + float alpha = pow2( roughness ); + float invAlpha = 1.0 / alpha; + float cos2h = dotNH * dotNH; + float sin2h = max( 1.0 - cos2h, 0.0078125 ); + return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI ); +} +float V_Neubelt( float dotNV, float dotNL ) { + return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) ); +} +vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) { + vec3 halfDir = normalize( lightDir + viewDir ); + float dotNL = saturate( dot( normal, lightDir ) ); + float dotNV = saturate( dot( normal, viewDir ) ); + float dotNH = saturate( dot( normal, halfDir ) ); + float D = D_Charlie( sheenRoughness, dotNH ); + float V = V_Neubelt( dotNV, dotNL ); + return sheenColor * ( D * V ); +} +#endif +float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + float r2 = roughness * roughness; + float a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95; + float b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72; + float DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) ); + return saturate( DG * RECIPROCAL_PI ); +} +vec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) { + float dotNV = saturate( dot( normal, viewDir ) ); + const vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 ); + const vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 ); + vec4 r = roughness * c0 + c1; + float a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y; + vec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw; + return fab; +} +vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) { + vec2 fab = DFGApprox( normal, viewDir, roughness ); + return specularColor * fab.x + specularF90 * fab.y; +} +#ifdef USE_IRIDESCENCE +void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#else +void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) { +#endif + vec2 fab = DFGApprox( normal, viewDir, roughness ); + #ifdef USE_IRIDESCENCE + vec3 Fr = mix( specularColor, iridescenceF0, iridescence ); + #else + vec3 Fr = specularColor; + #endif + vec3 FssEss = Fr * fab.x + specularF90 * fab.y; + float Ess = fab.x + fab.y; + float Ems = 1.0 - Ess; + vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619; vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg ); + singleScatter += FssEss; + multiScatter += Fms * Ems; +} +#if NUM_RECT_AREA_LIGHTS > 0 + void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + vec3 normal = geometryNormal; + vec3 viewDir = geometryViewDir; + vec3 position = geometryPosition; + vec3 lightPos = rectAreaLight.position; + vec3 halfWidth = rectAreaLight.halfWidth; + vec3 halfHeight = rectAreaLight.halfHeight; + vec3 lightColor = rectAreaLight.color; + float roughness = material.roughness; + vec3 rectCoords[ 4 ]; + rectCoords[ 0 ] = lightPos + halfWidth - halfHeight; rectCoords[ 1 ] = lightPos - halfWidth - halfHeight; + rectCoords[ 2 ] = lightPos - halfWidth + halfHeight; + rectCoords[ 3 ] = lightPos + halfWidth + halfHeight; + vec2 uv = LTC_Uv( normal, viewDir, roughness ); + vec4 t1 = texture2D( ltc_1, uv ); + vec4 t2 = texture2D( ltc_2, uv ); + mat3 mInv = mat3( + vec3( t1.x, 0, t1.y ), + vec3( 0, 1, 0 ), + vec3( t1.z, 0, t1.w ) + ); + vec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y ); + reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords ); + reflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords ); + } +#endif +void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + float dotNL = saturate( dot( geometryNormal, directLight.direction ) ); + vec3 irradiance = dotNL * directLight.color; + #ifdef USE_CLEARCOAT + float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) ); + vec3 ccIrradiance = dotNLcc * directLight.color; + clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material ); + #endif + #ifdef USE_SHEEN + sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness ); + #endif + reflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material ); + reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) { + reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor ); +} +void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) { + #ifdef USE_CLEARCOAT + clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness ); + #endif + #ifdef USE_SHEEN + sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness ); + #endif + vec3 singleScattering = vec3( 0.0 ); + vec3 multiScattering = vec3( 0.0 ); + vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI; + #ifdef USE_IRIDESCENCE + computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering ); + #else + computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering ); + #endif + vec3 totalScattering = singleScattering + multiScattering; + vec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) ); + reflectedLight.indirectSpecular += radiance * singleScattering; + reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance; + reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance; +} +#define RE_Direct RE_Direct_Physical +#define RE_Direct_RectArea RE_Direct_RectArea_Physical +#define RE_IndirectDiffuse RE_IndirectDiffuse_Physical +#define RE_IndirectSpecular RE_IndirectSpecular_Physical +float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) { + return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion ); +}`, xu = ` +vec3 geometryPosition = - vViewPosition; +vec3 geometryNormal = normal; +vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition ); +vec3 geometryClearcoatNormal = vec3( 0.0 ); +#ifdef USE_CLEARCOAT + geometryClearcoatNormal = clearcoatNormal; +#endif +#ifdef USE_IRIDESCENCE + float dotNVi = saturate( dot( normal, geometryViewDir ) ); + if ( material.iridescenceThickness == 0.0 ) { + material.iridescence = 0.0; + } else { + material.iridescence = saturate( material.iridescence ); + } + if ( material.iridescence > 0.0 ) { + material.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor ); + material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi ); + } +#endif +IncidentLight directLight; +#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct ) + PointLight pointLight; + #if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) { + pointLight = pointLights[ i ]; + getPointLightInfo( pointLight, geometryPosition, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS ) + pointLightShadow = pointLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct ) + SpotLight spotLight; + vec4 spotColor; + vec3 spotLightCoord; + bool inSpotLightMap; + #if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) { + spotLight = spotLights[ i ]; + getSpotLightInfo( spotLight, geometryPosition, directLight ); + #if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX + #elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + #define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS + #else + #define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS ) + #endif + #if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS ) + spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w; + inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) ); + spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy ); + directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color; + #endif + #undef SPOT_LIGHT_MAP_INDEX + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + spotLightShadow = spotLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct ) + DirectionalLight directionalLight; + #if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLightShadow; + #endif + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) { + directionalLight = directionalLights[ i ]; + getDirectionalLightInfo( directionalLight, directLight ); + #if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS ) + directionalLightShadow = directionalLightShadows[ i ]; + directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + #endif + RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea ) + RectAreaLight rectAreaLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) { + rectAreaLight = rectAreaLights[ i ]; + RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); + } + #pragma unroll_loop_end +#endif +#if defined( RE_IndirectDiffuse ) + vec3 iblIrradiance = vec3( 0.0 ); + vec3 irradiance = getAmbientLightIrradiance( ambientLightColor ); + #if defined( USE_LIGHT_PROBES ) + irradiance += getLightProbeIrradiance( lightProbe, geometryNormal ); + #endif + #if ( NUM_HEMI_LIGHTS > 0 ) + #pragma unroll_loop_start + for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) { + irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal ); + } + #pragma unroll_loop_end + #endif +#endif +#if defined( RE_IndirectSpecular ) + vec3 radiance = vec3( 0.0 ); + vec3 clearcoatRadiance = vec3( 0.0 ); +#endif`, Mu = `#if defined( RE_IndirectDiffuse ) + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity; + irradiance += lightMapIrradiance; + #endif + #if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV ) + iblIrradiance += getIBLIrradiance( geometryNormal ); + #endif +#endif +#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular ) + #ifdef USE_ANISOTROPY + radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy ); + #else + radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness ); + #endif + #ifdef USE_CLEARCOAT + clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness ); + #endif +#endif`, Su = `#if defined( RE_IndirectDiffuse ) + RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif +#if defined( RE_IndirectSpecular ) + RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight ); +#endif`, Eu = `#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT ) + gl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5; +#endif`, yu = `#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT ) + uniform float logDepthBufFC; + varying float vFragDepth; + varying float vIsPerspective; +#endif`, Tu = `#ifdef USE_LOGDEPTHBUF + #ifdef USE_LOGDEPTHBUF_EXT + varying float vFragDepth; + varying float vIsPerspective; + #else + uniform float logDepthBufFC; + #endif +#endif`, bu = `#ifdef USE_LOGDEPTHBUF + #ifdef USE_LOGDEPTHBUF_EXT + vFragDepth = 1.0 + gl_Position.w; + vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) ); + #else + if ( isPerspectiveMatrix( projectionMatrix ) ) { + gl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0; + gl_Position.z *= gl_Position.w; + } + #endif +#endif`, Au = `#ifdef USE_MAP + vec4 sampledDiffuseColor = texture2D( map, vMapUv ); + #ifdef DECODE_VIDEO_TEXTURE + sampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w ); + + #endif + diffuseColor *= sampledDiffuseColor; +#endif`, wu = `#ifdef USE_MAP + uniform sampler2D map; +#endif`, Ru = `#if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + #if defined( USE_POINTS_UV ) + vec2 uv = vUv; + #else + vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy; + #endif +#endif +#ifdef USE_MAP + diffuseColor *= texture2D( map, uv ); +#endif +#ifdef USE_ALPHAMAP + diffuseColor.a *= texture2D( alphaMap, uv ).g; +#endif`, Cu = `#if defined( USE_POINTS_UV ) + varying vec2 vUv; +#else + #if defined( USE_MAP ) || defined( USE_ALPHAMAP ) + uniform mat3 uvTransform; + #endif +#endif +#ifdef USE_MAP + uniform sampler2D map; +#endif +#ifdef USE_ALPHAMAP + uniform sampler2D alphaMap; +#endif`, Lu = `float metalnessFactor = metalness; +#ifdef USE_METALNESSMAP + vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv ); + metalnessFactor *= texelMetalness.b; +#endif`, Pu = `#ifdef USE_METALNESSMAP + uniform sampler2D metalnessMap; +#endif`, Du = `#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE ) + vColor *= morphTargetBaseInfluence; + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + #if defined( USE_COLOR_ALPHA ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ]; + #elif defined( USE_COLOR ) + if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ]; + #endif + } +#endif`, Uu = `#ifdef USE_MORPHNORMALS + objectNormal *= morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ]; + } + #else + objectNormal += morphNormal0 * morphTargetInfluences[ 0 ]; + objectNormal += morphNormal1 * morphTargetInfluences[ 1 ]; + objectNormal += morphNormal2 * morphTargetInfluences[ 2 ]; + objectNormal += morphNormal3 * morphTargetInfluences[ 3 ]; + #endif +#endif`, Iu = `#ifdef USE_MORPHTARGETS + uniform float morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ]; + uniform sampler2DArray morphTargetsTexture; + uniform ivec2 morphTargetsTextureSize; + vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) { + int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset; + int y = texelIndex / morphTargetsTextureSize.x; + int x = texelIndex - y * morphTargetsTextureSize.x; + ivec3 morphUV = ivec3( x, y, morphTargetIndex ); + return texelFetch( morphTargetsTexture, morphUV, 0 ); + } + #else + #ifndef USE_MORPHNORMALS + uniform float morphTargetInfluences[ 8 ]; + #else + uniform float morphTargetInfluences[ 4 ]; + #endif + #endif +#endif`, Nu = `#ifdef USE_MORPHTARGETS + transformed *= morphTargetBaseInfluence; + #ifdef MORPHTARGETS_TEXTURE + for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) { + if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ]; + } + #else + transformed += morphTarget0 * morphTargetInfluences[ 0 ]; + transformed += morphTarget1 * morphTargetInfluences[ 1 ]; + transformed += morphTarget2 * morphTargetInfluences[ 2 ]; + transformed += morphTarget3 * morphTargetInfluences[ 3 ]; + #ifndef USE_MORPHNORMALS + transformed += morphTarget4 * morphTargetInfluences[ 4 ]; + transformed += morphTarget5 * morphTargetInfluences[ 5 ]; + transformed += morphTarget6 * morphTargetInfluences[ 6 ]; + transformed += morphTarget7 * morphTargetInfluences[ 7 ]; + #endif + #endif +#endif`, Fu = `float faceDirection = gl_FrontFacing ? 1.0 : - 1.0; +#ifdef FLAT_SHADED + vec3 fdx = dFdx( vViewPosition ); + vec3 fdy = dFdy( vViewPosition ); + vec3 normal = normalize( cross( fdx, fdy ) ); +#else + vec3 normal = normalize( vNormal ); + #ifdef DOUBLE_SIDED + normal *= faceDirection; + #endif +#endif +#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) + #ifdef USE_TANGENT + mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn = getTangentFrame( - vViewPosition, normal, + #if defined( USE_NORMALMAP ) + vNormalMapUv + #elif defined( USE_CLEARCOAT_NORMALMAP ) + vClearcoatNormalMapUv + #else + vUv + #endif + ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn[0] *= faceDirection; + tbn[1] *= faceDirection; + #endif +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + #ifdef USE_TANGENT + mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal ); + #else + mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv ); + #endif + #if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED ) + tbn2[0] *= faceDirection; + tbn2[1] *= faceDirection; + #endif +#endif +vec3 nonPerturbedNormal = normal;`, Ou = `#ifdef USE_NORMALMAP_OBJECTSPACE + normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + #ifdef FLIP_SIDED + normal = - normal; + #endif + #ifdef DOUBLE_SIDED + normal = normal * faceDirection; + #endif + normal = normalize( normalMatrix * normal ); +#elif defined( USE_NORMALMAP_TANGENTSPACE ) + vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0; + mapN.xy *= normalScale; + normal = normalize( tbn * mapN ); +#elif defined( USE_BUMPMAP ) + normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection ); +#endif`, Bu = `#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`, zu = `#ifndef FLAT_SHADED + varying vec3 vNormal; + #ifdef USE_TANGENT + varying vec3 vTangent; + varying vec3 vBitangent; + #endif +#endif`, Gu = `#ifndef FLAT_SHADED + vNormal = normalize( transformedNormal ); + #ifdef USE_TANGENT + vTangent = normalize( transformedTangent ); + vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w ); + #endif +#endif`, Hu = `#ifdef USE_NORMALMAP + uniform sampler2D normalMap; + uniform vec2 normalScale; +#endif +#ifdef USE_NORMALMAP_OBJECTSPACE + uniform mat3 normalMatrix; +#endif +#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) ) + mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) { + vec3 q0 = dFdx( eye_pos.xyz ); + vec3 q1 = dFdy( eye_pos.xyz ); + vec2 st0 = dFdx( uv.st ); + vec2 st1 = dFdy( uv.st ); + vec3 N = surf_norm; + vec3 q1perp = cross( q1, N ); + vec3 q0perp = cross( N, q0 ); + vec3 T = q1perp * st0.x + q0perp * st1.x; + vec3 B = q1perp * st0.y + q0perp * st1.y; + float det = max( dot( T, T ), dot( B, B ) ); + float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det ); + return mat3( T * scale, B * scale, N ); + } +#endif`, Vu = `#ifdef USE_CLEARCOAT + vec3 clearcoatNormal = nonPerturbedNormal; +#endif`, ku = `#ifdef USE_CLEARCOAT_NORMALMAP + vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0; + clearcoatMapN.xy *= clearcoatNormalScale; + clearcoatNormal = normalize( tbn2 * clearcoatMapN ); +#endif`, Wu = `#ifdef USE_CLEARCOATMAP + uniform sampler2D clearcoatMap; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform sampler2D clearcoatNormalMap; + uniform vec2 clearcoatNormalScale; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform sampler2D clearcoatRoughnessMap; +#endif`, Xu = `#ifdef USE_IRIDESCENCEMAP + uniform sampler2D iridescenceMap; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform sampler2D iridescenceThicknessMap; +#endif`, qu = `#ifdef OPAQUE +diffuseColor.a = 1.0; +#endif +#ifdef USE_TRANSMISSION +diffuseColor.a *= material.transmissionAlpha; +#endif +gl_FragColor = vec4( outgoingLight, diffuseColor.a );`, Yu = `vec3 packNormalToRGB( const in vec3 normal ) { + return normalize( normal ) * 0.5 + 0.5; +} +vec3 unpackRGBToNormal( const in vec3 rgb ) { + return 2.0 * rgb.xyz - 1.0; +} +const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.; +const vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. ); +const vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. ); +const float ShiftRight8 = 1. / 256.; +vec4 packDepthToRGBA( const in float v ) { + vec4 r = vec4( fract( v * PackFactors ), v ); + r.yzw -= r.xyz * ShiftRight8; return r * PackUpscale; +} +float unpackRGBAToDepth( const in vec4 v ) { + return dot( v, UnpackFactors ); +} +vec2 packDepthToRG( in highp float v ) { + return packDepthToRGBA( v ).yx; +} +float unpackRGToDepth( const in highp vec2 v ) { + return unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) ); +} +vec4 pack2HalfToRGBA( vec2 v ) { + vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) ); + return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w ); +} +vec2 unpackRGBATo2Half( vec4 v ) { + return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) ); +} +float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) { + return ( viewZ + near ) / ( near - far ); +} +float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) { + return depth * ( near - far ) - near; +} +float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) { + return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ ); +} +float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) { + return ( near * far ) / ( ( far - near ) * depth - far ); +}`, ju = `#ifdef PREMULTIPLIED_ALPHA + gl_FragColor.rgb *= gl_FragColor.a; +#endif`, Ku = `vec4 mvPosition = vec4( transformed, 1.0 ); +#ifdef USE_BATCHING + mvPosition = batchingMatrix * mvPosition; +#endif +#ifdef USE_INSTANCING + mvPosition = instanceMatrix * mvPosition; +#endif +mvPosition = modelViewMatrix * mvPosition; +gl_Position = projectionMatrix * mvPosition;`, Zu = `#ifdef DITHERING + gl_FragColor.rgb = dithering( gl_FragColor.rgb ); +#endif`, $u = `#ifdef DITHERING + vec3 dithering( vec3 color ) { + float grid_position = rand( gl_FragCoord.xy ); + vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 ); + dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position ); + return color + dither_shift_RGB; + } +#endif`, Ju = `float roughnessFactor = roughness; +#ifdef USE_ROUGHNESSMAP + vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv ); + roughnessFactor *= texelRoughness.g; +#endif`, Qu = `#ifdef USE_ROUGHNESSMAP + uniform sampler2D roughnessMap; +#endif`, eh = `#if NUM_SPOT_LIGHT_COORDS > 0 + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#if NUM_SPOT_LIGHT_MAPS > 0 + uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ]; + struct SpotLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif + float texture2DCompare( sampler2D depths, vec2 uv, float compare ) { + return step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) ); + } + vec2 texture2DDistribution( sampler2D shadow, vec2 uv ) { + return unpackRGBATo2Half( texture2D( shadow, uv ) ); + } + float VSMShadow (sampler2D shadow, vec2 uv, float compare ){ + float occlusion = 1.0; + vec2 distribution = texture2DDistribution( shadow, uv ); + float hard_shadow = step( compare , distribution.x ); + if (hard_shadow != 1.0 ) { + float distance = compare - distribution.x ; + float variance = max( 0.00000, distribution.y * distribution.y ); + float softness_probability = variance / (variance + distance * distance ); softness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 ); occlusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 ); + } + return occlusion; + } + float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) { + float shadow = 1.0; + shadowCoord.xyz /= shadowCoord.w; + shadowCoord.z += shadowBias; + bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0; + bool frustumTest = inFrustum && shadowCoord.z <= 1.0; + if ( frustumTest ) { + #if defined( SHADOWMAP_TYPE_PCF ) + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float dx0 = - texelSize.x * shadowRadius; + float dy0 = - texelSize.y * shadowRadius; + float dx1 = + texelSize.x * shadowRadius; + float dy1 = + texelSize.y * shadowRadius; + float dx2 = dx0 / 2.0; + float dy2 = dy0 / 2.0; + float dx3 = dx1 / 2.0; + float dy3 = dy1 / 2.0; + shadow = ( + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) + + texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z ) + ) * ( 1.0 / 17.0 ); + #elif defined( SHADOWMAP_TYPE_PCF_SOFT ) + vec2 texelSize = vec2( 1.0 ) / shadowMapSize; + float dx = texelSize.x; + float dy = texelSize.y; + vec2 uv = shadowCoord.xy; + vec2 f = fract( uv * shadowMapSize + 0.5 ); + uv -= f * texelSize; + shadow = ( + texture2DCompare( shadowMap, uv, shadowCoord.z ) + + texture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) + + texture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) + + texture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) + + mix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ), + f.x ) + + mix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ), + f.x ) + + mix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ), + f.y ) + + mix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ), + f.y ) + + mix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ), + f.x ), + mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), + texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ), + f.x ), + f.y ) + ) * ( 1.0 / 9.0 ); + #elif defined( SHADOWMAP_TYPE_VSM ) + shadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z ); + #else + shadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ); + #endif + } + return shadow; + } + vec2 cubeToUV( vec3 v, float texelSizeY ) { + vec3 absV = abs( v ); + float scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) ); + absV *= scaleToCube; + v *= scaleToCube * ( 1.0 - 2.0 * texelSizeY ); + vec2 planar = v.xy; + float almostATexel = 1.5 * texelSizeY; + float almostOne = 1.0 - almostATexel; + if ( absV.z >= almostOne ) { + if ( v.z > 0.0 ) + planar.x = 4.0 - v.x; + } else if ( absV.x >= almostOne ) { + float signX = sign( v.x ); + planar.x = v.z * signX + 2.0 * signX; + } else if ( absV.y >= almostOne ) { + float signY = sign( v.y ); + planar.x = v.x + 2.0 * signY + 2.0; + planar.y = v.z * signY - 2.0; + } + return vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 ); + } + float getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) { + vec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) ); + vec3 lightToPosition = shadowCoord.xyz; + float dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear ); dp += shadowBias; + vec3 bd3D = normalize( lightToPosition ); + #if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM ) + vec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y; + return ( + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) + + texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp ) + ) * ( 1.0 / 9.0 ); + #else + return texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ); + #endif + } +#endif`, th = `#if NUM_SPOT_LIGHT_COORDS > 0 + uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ]; + varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ]; +#endif +#ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ]; + varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ]; + struct DirectionalLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ]; + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + struct SpotLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + }; + uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ]; + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ]; + varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ]; + struct PointLightShadow { + float shadowBias; + float shadowNormalBias; + float shadowRadius; + vec2 shadowMapSize; + float shadowCameraNear; + float shadowCameraFar; + }; + uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ]; + #endif +#endif`, nh = `#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 ) + vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix ); + vec4 shadowWorldPosition; +#endif +#if defined( USE_SHADOWMAP ) + #if NUM_DIR_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 ); + vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 ); + vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end + #endif +#endif +#if NUM_SPOT_LIGHT_COORDS > 0 + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) { + shadowWorldPosition = worldPosition; + #if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS ) + shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias; + #endif + vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition; + } + #pragma unroll_loop_end +#endif`, ih = `float getShadowMask() { + float shadow = 1.0; + #ifdef USE_SHADOWMAP + #if NUM_DIR_LIGHT_SHADOWS > 0 + DirectionalLightShadow directionalLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) { + directionalLight = directionalLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_SPOT_LIGHT_SHADOWS > 0 + SpotLightShadow spotLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) { + spotLight = spotLightShadows[ i ]; + shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0; + } + #pragma unroll_loop_end + #endif + #if NUM_POINT_LIGHT_SHADOWS > 0 + PointLightShadow pointLight; + #pragma unroll_loop_start + for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) { + pointLight = pointLightShadows[ i ]; + shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0; + } + #pragma unroll_loop_end + #endif + #endif + return shadow; +}`, rh = `#ifdef USE_SKINNING + mat4 boneMatX = getBoneMatrix( skinIndex.x ); + mat4 boneMatY = getBoneMatrix( skinIndex.y ); + mat4 boneMatZ = getBoneMatrix( skinIndex.z ); + mat4 boneMatW = getBoneMatrix( skinIndex.w ); +#endif`, sh = `#ifdef USE_SKINNING + uniform mat4 bindMatrix; + uniform mat4 bindMatrixInverse; + uniform highp sampler2D boneTexture; + mat4 getBoneMatrix( const in float i ) { + int size = textureSize( boneTexture, 0 ).x; + int j = int( i ) * 4; + int x = j % size; + int y = j / size; + vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 ); + vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 ); + vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 ); + vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 ); + return mat4( v1, v2, v3, v4 ); + } +#endif`, ah = `#ifdef USE_SKINNING + vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 ); + vec4 skinned = vec4( 0.0 ); + skinned += boneMatX * skinVertex * skinWeight.x; + skinned += boneMatY * skinVertex * skinWeight.y; + skinned += boneMatZ * skinVertex * skinWeight.z; + skinned += boneMatW * skinVertex * skinWeight.w; + transformed = ( bindMatrixInverse * skinned ).xyz; +#endif`, oh = `#ifdef USE_SKINNING + mat4 skinMatrix = mat4( 0.0 ); + skinMatrix += skinWeight.x * boneMatX; + skinMatrix += skinWeight.y * boneMatY; + skinMatrix += skinWeight.z * boneMatZ; + skinMatrix += skinWeight.w * boneMatW; + skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix; + objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz; + #ifdef USE_TANGENT + objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz; + #endif +#endif`, lh = `float specularStrength; +#ifdef USE_SPECULARMAP + vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv ); + specularStrength = texelSpecular.r; +#else + specularStrength = 1.0; +#endif`, ch = `#ifdef USE_SPECULARMAP + uniform sampler2D specularMap; +#endif`, uh = `#if defined( TONE_MAPPING ) + gl_FragColor.rgb = toneMapping( gl_FragColor.rgb ); +#endif`, hh = `#ifndef saturate +#define saturate( a ) clamp( a, 0.0, 1.0 ) +#endif +uniform float toneMappingExposure; +vec3 LinearToneMapping( vec3 color ) { + return saturate( toneMappingExposure * color ); +} +vec3 ReinhardToneMapping( vec3 color ) { + color *= toneMappingExposure; + return saturate( color / ( vec3( 1.0 ) + color ) ); +} +vec3 OptimizedCineonToneMapping( vec3 color ) { + color *= toneMappingExposure; + color = max( vec3( 0.0 ), color - 0.004 ); + return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) ); +} +vec3 RRTAndODTFit( vec3 v ) { + vec3 a = v * ( v + 0.0245786 ) - 0.000090537; + vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081; + return a / b; +} +vec3 ACESFilmicToneMapping( vec3 color ) { + const mat3 ACESInputMat = mat3( + vec3( 0.59719, 0.07600, 0.02840 ), vec3( 0.35458, 0.90834, 0.13383 ), + vec3( 0.04823, 0.01566, 0.83777 ) + ); + const mat3 ACESOutputMat = mat3( + vec3( 1.60475, -0.10208, -0.00327 ), vec3( -0.53108, 1.10813, -0.07276 ), + vec3( -0.07367, -0.00605, 1.07602 ) + ); + color *= toneMappingExposure / 0.6; + color = ACESInputMat * color; + color = RRTAndODTFit( color ); + color = ACESOutputMat * color; + return saturate( color ); +} +const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3( + vec3( 1.6605, - 0.1246, - 0.0182 ), + vec3( - 0.5876, 1.1329, - 0.1006 ), + vec3( - 0.0728, - 0.0083, 1.1187 ) +); +const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3( + vec3( 0.6274, 0.0691, 0.0164 ), + vec3( 0.3293, 0.9195, 0.0880 ), + vec3( 0.0433, 0.0113, 0.8956 ) +); +vec3 agxDefaultContrastApprox( vec3 x ) { + vec3 x2 = x * x; + vec3 x4 = x2 * x2; + return + 15.5 * x4 * x2 + - 40.14 * x4 * x + + 31.96 * x4 + - 6.868 * x2 * x + + 0.4298 * x2 + + 0.1191 * x + - 0.00232; +} +vec3 AgXToneMapping( vec3 color ) { + const mat3 AgXInsetMatrix = mat3( + vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ), + vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ), + vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 ) + ); + const mat3 AgXOutsetMatrix = mat3( + vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ), + vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ), + vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 ) + ); + const float AgxMinEv = - 12.47393; const float AgxMaxEv = 4.026069; + color = LINEAR_SRGB_TO_LINEAR_REC2020 * color; + color *= toneMappingExposure; + color = AgXInsetMatrix * color; + color = max( color, 1e-10 ); color = log2( color ); + color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv ); + color = clamp( color, 0.0, 1.0 ); + color = agxDefaultContrastApprox( color ); + color = AgXOutsetMatrix * color; + color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) ); + color = LINEAR_REC2020_TO_LINEAR_SRGB * color; + return color; +} +vec3 CustomToneMapping( vec3 color ) { return color; }`, dh = `#ifdef USE_TRANSMISSION + material.transmission = transmission; + material.transmissionAlpha = 1.0; + material.thickness = thickness; + material.attenuationDistance = attenuationDistance; + material.attenuationColor = attenuationColor; + #ifdef USE_TRANSMISSIONMAP + material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r; + #endif + #ifdef USE_THICKNESSMAP + material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g; + #endif + vec3 pos = vWorldPosition; + vec3 v = normalize( cameraPosition - pos ); + vec3 n = inverseTransformDirection( normal, viewMatrix ); + vec4 transmitted = getIBLVolumeRefraction( + n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90, + pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness, + material.attenuationColor, material.attenuationDistance ); + material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission ); + totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission ); +#endif`, fh = `#ifdef USE_TRANSMISSION + uniform float transmission; + uniform float thickness; + uniform float attenuationDistance; + uniform vec3 attenuationColor; + #ifdef USE_TRANSMISSIONMAP + uniform sampler2D transmissionMap; + #endif + #ifdef USE_THICKNESSMAP + uniform sampler2D thicknessMap; + #endif + uniform vec2 transmissionSamplerSize; + uniform sampler2D transmissionSamplerMap; + uniform mat4 modelMatrix; + uniform mat4 projectionMatrix; + varying vec3 vWorldPosition; + float w0( float a ) { + return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 ); + } + float w1( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 ); + } + float w2( float a ){ + return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 ); + } + float w3( float a ) { + return ( 1.0 / 6.0 ) * ( a * a * a ); + } + float g0( float a ) { + return w0( a ) + w1( a ); + } + float g1( float a ) { + return w2( a ) + w3( a ); + } + float h0( float a ) { + return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) ); + } + float h1( float a ) { + return 1.0 + w3( a ) / ( w2( a ) + w3( a ) ); + } + vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) { + uv = uv * texelSize.zw + 0.5; + vec2 iuv = floor( uv ); + vec2 fuv = fract( uv ); + float g0x = g0( fuv.x ); + float g1x = g1( fuv.x ); + float h0x = h0( fuv.x ); + float h1x = h1( fuv.x ); + float h0y = h0( fuv.y ); + float h1y = h1( fuv.y ); + vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy; + vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy; + return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) + + g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) ); + } + vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) { + vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) ); + vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) ); + vec2 fLodSizeInv = 1.0 / fLodSize; + vec2 cLodSizeInv = 1.0 / cLodSize; + vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) ); + vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) ); + return mix( fSample, cSample, fract( lod ) ); + } + vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) { + vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior ); + vec3 modelScale; + modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) ); + modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) ); + modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) ); + return normalize( refractionVector ) * thickness * modelScale; + } + float applyIorToRoughness( const in float roughness, const in float ior ) { + return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 ); + } + vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) { + float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior ); + return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod ); + } + vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) { + if ( isinf( attenuationDistance ) ) { + return vec3( 1.0 ); + } else { + vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance; + vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); return transmittance; + } + } + vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor, + const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix, + const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness, + const in vec3 attenuationColor, const in float attenuationDistance ) { + vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix ); + vec3 refractedRayExit = position + transmissionRay; + vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 ); + vec2 refractionCoords = ndcPos.xy / ndcPos.w; + refractionCoords += 1.0; + refractionCoords /= 2.0; + vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior ); + vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance ); + vec3 attenuatedColor = transmittance * transmittedLight.rgb; + vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness ); + float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0; + return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor ); + } +#endif`, ph = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + varying vec2 vNormalMapUv; +#endif +#ifdef USE_EMISSIVEMAP + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_SPECULARMAP + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`, mh = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + varying vec2 vUv; +#endif +#ifdef USE_MAP + uniform mat3 mapTransform; + varying vec2 vMapUv; +#endif +#ifdef USE_ALPHAMAP + uniform mat3 alphaMapTransform; + varying vec2 vAlphaMapUv; +#endif +#ifdef USE_LIGHTMAP + uniform mat3 lightMapTransform; + varying vec2 vLightMapUv; +#endif +#ifdef USE_AOMAP + uniform mat3 aoMapTransform; + varying vec2 vAoMapUv; +#endif +#ifdef USE_BUMPMAP + uniform mat3 bumpMapTransform; + varying vec2 vBumpMapUv; +#endif +#ifdef USE_NORMALMAP + uniform mat3 normalMapTransform; + varying vec2 vNormalMapUv; +#endif +#ifdef USE_DISPLACEMENTMAP + uniform mat3 displacementMapTransform; + varying vec2 vDisplacementMapUv; +#endif +#ifdef USE_EMISSIVEMAP + uniform mat3 emissiveMapTransform; + varying vec2 vEmissiveMapUv; +#endif +#ifdef USE_METALNESSMAP + uniform mat3 metalnessMapTransform; + varying vec2 vMetalnessMapUv; +#endif +#ifdef USE_ROUGHNESSMAP + uniform mat3 roughnessMapTransform; + varying vec2 vRoughnessMapUv; +#endif +#ifdef USE_ANISOTROPYMAP + uniform mat3 anisotropyMapTransform; + varying vec2 vAnisotropyMapUv; +#endif +#ifdef USE_CLEARCOATMAP + uniform mat3 clearcoatMapTransform; + varying vec2 vClearcoatMapUv; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + uniform mat3 clearcoatNormalMapTransform; + varying vec2 vClearcoatNormalMapUv; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + uniform mat3 clearcoatRoughnessMapTransform; + varying vec2 vClearcoatRoughnessMapUv; +#endif +#ifdef USE_SHEEN_COLORMAP + uniform mat3 sheenColorMapTransform; + varying vec2 vSheenColorMapUv; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + uniform mat3 sheenRoughnessMapTransform; + varying vec2 vSheenRoughnessMapUv; +#endif +#ifdef USE_IRIDESCENCEMAP + uniform mat3 iridescenceMapTransform; + varying vec2 vIridescenceMapUv; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + uniform mat3 iridescenceThicknessMapTransform; + varying vec2 vIridescenceThicknessMapUv; +#endif +#ifdef USE_SPECULARMAP + uniform mat3 specularMapTransform; + varying vec2 vSpecularMapUv; +#endif +#ifdef USE_SPECULAR_COLORMAP + uniform mat3 specularColorMapTransform; + varying vec2 vSpecularColorMapUv; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + uniform mat3 specularIntensityMapTransform; + varying vec2 vSpecularIntensityMapUv; +#endif +#ifdef USE_TRANSMISSIONMAP + uniform mat3 transmissionMapTransform; + varying vec2 vTransmissionMapUv; +#endif +#ifdef USE_THICKNESSMAP + uniform mat3 thicknessMapTransform; + varying vec2 vThicknessMapUv; +#endif`, _h = `#if defined( USE_UV ) || defined( USE_ANISOTROPY ) + vUv = vec3( uv, 1 ).xy; +#endif +#ifdef USE_MAP + vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ALPHAMAP + vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_LIGHTMAP + vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_AOMAP + vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_BUMPMAP + vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_NORMALMAP + vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_DISPLACEMENTMAP + vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_EMISSIVEMAP + vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_METALNESSMAP + vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ROUGHNESSMAP + vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_ANISOTROPYMAP + vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOATMAP + vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_NORMALMAP + vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_CLEARCOAT_ROUGHNESSMAP + vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCEMAP + vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_IRIDESCENCE_THICKNESSMAP + vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_COLORMAP + vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SHEEN_ROUGHNESSMAP + vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULARMAP + vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_COLORMAP + vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_SPECULAR_INTENSITYMAP + vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_TRANSMISSIONMAP + vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy; +#endif +#ifdef USE_THICKNESSMAP + vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy; +#endif`, gh = `#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0 + vec4 worldPosition = vec4( transformed, 1.0 ); + #ifdef USE_BATCHING + worldPosition = batchingMatrix * worldPosition; + #endif + #ifdef USE_INSTANCING + worldPosition = instanceMatrix * worldPosition; + #endif + worldPosition = modelMatrix * worldPosition; +#endif`; +const vh = `varying vec2 vUv; +uniform mat3 uvTransform; +void main() { + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + gl_Position = vec4( position.xy, 1.0, 1.0 ); +}`, xh = `uniform sampler2D t2D; +uniform float backgroundIntensity; +varying vec2 vUv; +void main() { + vec4 texColor = texture2D( t2D, vUv ); + #ifdef DECODE_VIDEO_TEXTURE + texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`, Mh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`, Sh = `#ifdef ENVMAP_TYPE_CUBE + uniform samplerCube envMap; +#elif defined( ENVMAP_TYPE_CUBE_UV ) + uniform sampler2D envMap; +#endif +uniform float flipEnvMap; +uniform float backgroundBlurriness; +uniform float backgroundIntensity; +varying vec3 vWorldDirection; +#include +void main() { + #ifdef ENVMAP_TYPE_CUBE + vec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) ); + #elif defined( ENVMAP_TYPE_CUBE_UV ) + vec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness ); + #else + vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + #endif + texColor.rgb *= backgroundIntensity; + gl_FragColor = texColor; + #include + #include +}`, Eh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include + gl_Position.z = gl_Position.w; +}`, yh = `uniform samplerCube tCube; +uniform float tFlip; +uniform float opacity; +varying vec3 vWorldDirection; +void main() { + vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) ); + gl_FragColor = texColor; + gl_FragColor.a *= opacity; + #include + #include +}`, Th = `#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vHighPrecisionZW = gl_Position.zw; +}`, bh = `#if DEPTH_PACKING == 3200 + uniform float opacity; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +varying vec2 vHighPrecisionZW; +void main() { + #include + vec4 diffuseColor = vec4( 1.0 ); + #if DEPTH_PACKING == 3200 + diffuseColor.a = opacity; + #endif + #include + #include + #include + #include + #include + float fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5; + #if DEPTH_PACKING == 3200 + gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity ); + #elif DEPTH_PACKING == 3201 + gl_FragColor = packDepthToRGBA( fragCoordZ ); + #endif +}`, Ah = `#define DISTANCE +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #ifdef USE_DISPLACEMENTMAP + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + vWorldPosition = worldPosition.xyz; +}`, wh = `#define DISTANCE +uniform vec3 referencePosition; +uniform float nearDistance; +uniform float farDistance; +varying vec3 vWorldPosition; +#include +#include +#include +#include +#include +#include +#include +#include +void main () { + #include + vec4 diffuseColor = vec4( 1.0 ); + #include + #include + #include + #include + float dist = length( vWorldPosition - referencePosition ); + dist = ( dist - nearDistance ) / ( farDistance - nearDistance ); + dist = saturate( dist ); + gl_FragColor = packDepthToRGBA( dist ); +}`, Rh = `varying vec3 vWorldDirection; +#include +void main() { + vWorldDirection = transformDirection( position, modelMatrix ); + #include + #include +}`, Ch = `uniform sampler2D tEquirect; +varying vec3 vWorldDirection; +#include +void main() { + vec3 direction = normalize( vWorldDirection ); + vec2 sampleUV = equirectUv( direction ); + gl_FragColor = texture2D( tEquirect, sampleUV ); + #include + #include +}`, Lh = `uniform float scale; +attribute float lineDistance; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + vLineDistance = scale * lineDistance; + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Ph = `uniform vec3 diffuse; +uniform float opacity; +uniform float dashSize; +uniform float totalSize; +varying float vLineDistance; +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + if ( mod( vLineDistance, totalSize ) > dashSize ) { + discard; + } + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`, Dh = `#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #if defined ( USE_ENVMAP ) || defined ( USE_SKINNING ) + #include + #include + #include + #include + #include + #endif + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Uh = `uniform vec3 diffuse; +uniform float opacity; +#ifndef FLAT_SHADED + varying vec3 vNormal; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + #ifdef USE_LIGHTMAP + vec4 lightMapTexel = texture2D( lightMap, vLightMapUv ); + reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI; + #else + reflectedLight.indirectDiffuse += vec3( 1.0 ); + #endif + #include + reflectedLight.indirectDiffuse *= diffuseColor.rgb; + vec3 outgoingLight = reflectedLight.indirectDiffuse; + #include + #include + #include + #include + #include + #include + #include +}`, Ih = `#define LAMBERT +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`, Nh = `#define LAMBERT +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`, Fh = `#define MATCAP +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; +}`, Oh = `#define MATCAP +uniform vec3 diffuse; +uniform float opacity; +uniform sampler2D matcap; +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + #include + #include + #include + vec3 viewDir = normalize( vViewPosition ); + vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) ); + vec3 y = cross( viewDir, x ); + vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; + #ifdef USE_MATCAP + vec4 matcapColor = texture2D( matcap, uv ); + #else + vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 ); + #endif + vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb; + #include + #include + #include + #include + #include + #include +}`, Bh = `#define NORMAL +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + vViewPosition = - mvPosition.xyz; +#endif +}`, zh = `#define NORMAL +uniform float opacity; +#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE ) + varying vec3 vViewPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + gl_FragColor = vec4( packNormalToRGB( normal ), opacity ); + #ifdef OPAQUE + gl_FragColor.a = 1.0; + #endif +}`, Gh = `#define PHONG +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include + #include +}`, Hh = `#define PHONG +uniform vec3 diffuse; +uniform vec3 emissive; +uniform vec3 specular; +uniform float shininess; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include + #include +}`, Vh = `#define STANDARD +varying vec3 vViewPosition; +#ifdef USE_TRANSMISSION + varying vec3 vWorldPosition; +#endif +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +#ifdef USE_TRANSMISSION + vWorldPosition = worldPosition.xyz; +#endif +}`, kh = `#define STANDARD +#ifdef PHYSICAL + #define IOR + #define USE_SPECULAR +#endif +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float roughness; +uniform float metalness; +uniform float opacity; +#ifdef IOR + uniform float ior; +#endif +#ifdef USE_SPECULAR + uniform float specularIntensity; + uniform vec3 specularColor; + #ifdef USE_SPECULAR_COLORMAP + uniform sampler2D specularColorMap; + #endif + #ifdef USE_SPECULAR_INTENSITYMAP + uniform sampler2D specularIntensityMap; + #endif +#endif +#ifdef USE_CLEARCOAT + uniform float clearcoat; + uniform float clearcoatRoughness; +#endif +#ifdef USE_IRIDESCENCE + uniform float iridescence; + uniform float iridescenceIOR; + uniform float iridescenceThicknessMinimum; + uniform float iridescenceThicknessMaximum; +#endif +#ifdef USE_SHEEN + uniform vec3 sheenColor; + uniform float sheenRoughness; + #ifdef USE_SHEEN_COLORMAP + uniform sampler2D sheenColorMap; + #endif + #ifdef USE_SHEEN_ROUGHNESSMAP + uniform sampler2D sheenRoughnessMap; + #endif +#endif +#ifdef USE_ANISOTROPY + uniform vec2 anisotropyVector; + #ifdef USE_ANISOTROPYMAP + uniform sampler2D anisotropyMap; + #endif +#endif +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse; + vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular; + #include + vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance; + #ifdef USE_SHEEN + float sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor ); + outgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect; + #endif + #ifdef USE_CLEARCOAT + float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) ); + vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc ); + outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat; + #endif + #include + #include + #include + #include + #include + #include +}`, Wh = `#define TOON +varying vec3 vViewPosition; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vViewPosition = - mvPosition.xyz; + #include + #include + #include +}`, Xh = `#define TOON +uniform vec3 diffuse; +uniform vec3 emissive; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec4 diffuseColor = vec4( diffuse, opacity ); + ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) ); + vec3 totalEmissiveRadiance = emissive; + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance; + #include + #include + #include + #include + #include + #include +}`, qh = `uniform float size; +uniform float scale; +#include +#include +#include +#include +#include +#include +#ifdef USE_POINTS_UV + varying vec2 vUv; + uniform mat3 uvTransform; +#endif +void main() { + #ifdef USE_POINTS_UV + vUv = ( uvTransform * vec3( uv, 1 ) ).xy; + #endif + #include + #include + #include + #include + #include + gl_PointSize = size; + #ifdef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z ); + #endif + #include + #include + #include + #include +}`, Yh = `uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include + #include +}`, jh = `#include +#include +#include +#include +#include +#include +#include +void main() { + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include + #include +}`, Kh = `uniform vec3 color; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) ); + #include + #include + #include +}`, Zh = `uniform float rotation; +uniform vec2 center; +#include +#include +#include +#include +#include +void main() { + #include + vec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 ); + vec2 scale; + scale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) ); + scale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) ); + #ifndef USE_SIZEATTENUATION + bool isPerspective = isPerspectiveMatrix( projectionMatrix ); + if ( isPerspective ) scale *= - mvPosition.z; + #endif + vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale; + vec2 rotatedPosition; + rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y; + rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y; + mvPosition.xy += rotatedPosition; + gl_Position = projectionMatrix * mvPosition; + #include + #include + #include +}`, $h = `uniform vec3 diffuse; +uniform float opacity; +#include +#include +#include +#include +#include +#include +#include +#include +#include +void main() { + #include + vec3 outgoingLight = vec3( 0.0 ); + vec4 diffuseColor = vec4( diffuse, opacity ); + #include + #include + #include + #include + #include + outgoingLight = diffuseColor.rgb; + #include + #include + #include + #include +}`, Be = { + alphahash_fragment: xc, + alphahash_pars_fragment: Mc, + alphamap_fragment: Sc, + alphamap_pars_fragment: Ec, + alphatest_fragment: yc, + alphatest_pars_fragment: Tc, + aomap_fragment: bc, + aomap_pars_fragment: Ac, + batching_pars_vertex: wc, + batching_vertex: Rc, + begin_vertex: Cc, + beginnormal_vertex: Lc, + bsdfs: Pc, + iridescence_fragment: Dc, + bumpmap_pars_fragment: Uc, + clipping_planes_fragment: Ic, + clipping_planes_pars_fragment: Nc, + clipping_planes_pars_vertex: Fc, + clipping_planes_vertex: Oc, + color_fragment: Bc, + color_pars_fragment: zc, + color_pars_vertex: Gc, + color_vertex: Hc, + common: Vc, + cube_uv_reflection_fragment: kc, + defaultnormal_vertex: Wc, + displacementmap_pars_vertex: Xc, + displacementmap_vertex: qc, + emissivemap_fragment: Yc, + emissivemap_pars_fragment: jc, + colorspace_fragment: Kc, + colorspace_pars_fragment: Zc, + envmap_fragment: $c, + envmap_common_pars_fragment: Jc, + envmap_pars_fragment: Qc, + envmap_pars_vertex: eu, + envmap_physical_pars_fragment: du, + envmap_vertex: tu, + fog_vertex: nu, + fog_pars_vertex: iu, + fog_fragment: ru, + fog_pars_fragment: su, + gradientmap_pars_fragment: au, + lightmap_fragment: ou, + lightmap_pars_fragment: lu, + lights_lambert_fragment: cu, + lights_lambert_pars_fragment: uu, + lights_pars_begin: hu, + lights_toon_fragment: fu, + lights_toon_pars_fragment: pu, + lights_phong_fragment: mu, + lights_phong_pars_fragment: _u, + lights_physical_fragment: gu, + lights_physical_pars_fragment: vu, + lights_fragment_begin: xu, + lights_fragment_maps: Mu, + lights_fragment_end: Su, + logdepthbuf_fragment: Eu, + logdepthbuf_pars_fragment: yu, + logdepthbuf_pars_vertex: Tu, + logdepthbuf_vertex: bu, + map_fragment: Au, + map_pars_fragment: wu, + map_particle_fragment: Ru, + map_particle_pars_fragment: Cu, + metalnessmap_fragment: Lu, + metalnessmap_pars_fragment: Pu, + morphcolor_vertex: Du, + morphnormal_vertex: Uu, + morphtarget_pars_vertex: Iu, + morphtarget_vertex: Nu, + normal_fragment_begin: Fu, + normal_fragment_maps: Ou, + normal_pars_fragment: Bu, + normal_pars_vertex: zu, + normal_vertex: Gu, + normalmap_pars_fragment: Hu, + clearcoat_normal_fragment_begin: Vu, + clearcoat_normal_fragment_maps: ku, + clearcoat_pars_fragment: Wu, + iridescence_pars_fragment: Xu, + opaque_fragment: qu, + packing: Yu, + premultiplied_alpha_fragment: ju, + project_vertex: Ku, + dithering_fragment: Zu, + dithering_pars_fragment: $u, + roughnessmap_fragment: Ju, + roughnessmap_pars_fragment: Qu, + shadowmap_pars_fragment: eh, + shadowmap_pars_vertex: th, + shadowmap_vertex: nh, + shadowmask_pars_fragment: ih, + skinbase_vertex: rh, + skinning_pars_vertex: sh, + skinning_vertex: ah, + skinnormal_vertex: oh, + specularmap_fragment: lh, + specularmap_pars_fragment: ch, + tonemapping_fragment: uh, + tonemapping_pars_fragment: hh, + transmission_fragment: dh, + transmission_pars_fragment: fh, + uv_pars_fragment: ph, + uv_pars_vertex: mh, + uv_vertex: _h, + worldpos_vertex: gh, + background_vert: vh, + background_frag: xh, + backgroundCube_vert: Mh, + backgroundCube_frag: Sh, + cube_vert: Eh, + cube_frag: yh, + depth_vert: Th, + depth_frag: bh, + distanceRGBA_vert: Ah, + distanceRGBA_frag: wh, + equirect_vert: Rh, + equirect_frag: Ch, + linedashed_vert: Lh, + linedashed_frag: Ph, + meshbasic_vert: Dh, + meshbasic_frag: Uh, + meshlambert_vert: Ih, + meshlambert_frag: Nh, + meshmatcap_vert: Fh, + meshmatcap_frag: Oh, + meshnormal_vert: Bh, + meshnormal_frag: zh, + meshphong_vert: Gh, + meshphong_frag: Hh, + meshphysical_vert: Vh, + meshphysical_frag: kh, + meshtoon_vert: Wh, + meshtoon_frag: Xh, + points_vert: qh, + points_frag: Yh, + shadow_vert: jh, + shadow_frag: Kh, + sprite_vert: Zh, + sprite_frag: $h +}, se = { + common: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + map: { value: null }, + mapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 } + }, + specularmap: { + specularMap: { value: null }, + specularMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + envmap: { + envMap: { value: null }, + flipEnvMap: { value: -1 }, + reflectivity: { value: 1 }, + // basic, lambert, phong + ior: { value: 1.5 }, + // physical + refractionRatio: { value: 0.98 } + // basic, lambert, phong + }, + aomap: { + aoMap: { value: null }, + aoMapIntensity: { value: 1 }, + aoMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + lightmap: { + lightMap: { value: null }, + lightMapIntensity: { value: 1 }, + lightMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + bumpmap: { + bumpMap: { value: null }, + bumpMapTransform: { value: /* @__PURE__ */ new Ve() }, + bumpScale: { value: 1 } + }, + normalmap: { + normalMap: { value: null }, + normalMapTransform: { value: /* @__PURE__ */ new Ve() }, + normalScale: { value: /* @__PURE__ */ new Ie(1, 1) } + }, + displacementmap: { + displacementMap: { value: null }, + displacementMapTransform: { value: /* @__PURE__ */ new Ve() }, + displacementScale: { value: 1 }, + displacementBias: { value: 0 } + }, + emissivemap: { + emissiveMap: { value: null }, + emissiveMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + metalnessmap: { + metalnessMap: { value: null }, + metalnessMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + roughnessmap: { + roughnessMap: { value: null }, + roughnessMapTransform: { value: /* @__PURE__ */ new Ve() } + }, + gradientmap: { + gradientMap: { value: null } + }, + fog: { + fogDensity: { value: 25e-5 }, + fogNear: { value: 1 }, + fogFar: { value: 2e3 }, + fogColor: { value: /* @__PURE__ */ new Xe(16777215) } + }, + lights: { + ambientLightColor: { value: [] }, + lightProbe: { value: [] }, + directionalLights: { value: [], properties: { + direction: {}, + color: {} + } }, + directionalLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {} + } }, + directionalShadowMap: { value: [] }, + directionalShadowMatrix: { value: [] }, + spotLights: { value: [], properties: { + color: {}, + position: {}, + direction: {}, + distance: {}, + coneCos: {}, + penumbraCos: {}, + decay: {} + } }, + spotLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {} + } }, + spotLightMap: { value: [] }, + spotShadowMap: { value: [] }, + spotLightMatrix: { value: [] }, + pointLights: { value: [], properties: { + color: {}, + position: {}, + decay: {}, + distance: {} + } }, + pointLightShadows: { value: [], properties: { + shadowBias: {}, + shadowNormalBias: {}, + shadowRadius: {}, + shadowMapSize: {}, + shadowCameraNear: {}, + shadowCameraFar: {} + } }, + pointShadowMap: { value: [] }, + pointShadowMatrix: { value: [] }, + hemisphereLights: { value: [], properties: { + direction: {}, + skyColor: {}, + groundColor: {} + } }, + // TODO (abelnation): RectAreaLight BRDF data needs to be moved from example to main src + rectAreaLights: { value: [], properties: { + color: {}, + position: {}, + width: {}, + height: {} + } }, + ltc_1: { value: null }, + ltc_2: { value: null } + }, + points: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + size: { value: 1 }, + scale: { value: 1 }, + map: { value: null }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 }, + uvTransform: { value: /* @__PURE__ */ new Ve() } + }, + sprite: { + diffuse: { value: /* @__PURE__ */ new Xe(16777215) }, + opacity: { value: 1 }, + center: { value: /* @__PURE__ */ new Ie(0.5, 0.5) }, + rotation: { value: 0 }, + map: { value: null }, + mapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaMap: { value: null }, + alphaMapTransform: { value: /* @__PURE__ */ new Ve() }, + alphaTest: { value: 0 } + } +}, Gt = { + basic: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.specularmap, + se.envmap, + se.aomap, + se.lightmap, + se.fog + ]), + vertexShader: Be.meshbasic_vert, + fragmentShader: Be.meshbasic_frag + }, + lambert: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.specularmap, + 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dashSize: { value: 1 }, + totalSize: { value: 2 } + } + ]), + vertexShader: Be.linedashed_vert, + fragmentShader: Be.linedashed_frag + }, + depth: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.displacementmap + ]), + vertexShader: Be.depth_vert, + fragmentShader: Be.depth_frag + }, + normal: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.bumpmap, + se.normalmap, + se.displacementmap, + { + opacity: { value: 1 } + } + ]), + vertexShader: Be.meshnormal_vert, + fragmentShader: Be.meshnormal_frag + }, + sprite: { + uniforms: /* @__PURE__ */ _t([ + se.sprite, + se.fog + ]), + vertexShader: Be.sprite_vert, + fragmentShader: Be.sprite_frag + }, + background: { + uniforms: { + uvTransform: { value: /* @__PURE__ */ new Ve() }, + t2D: { value: null }, + backgroundIntensity: { value: 1 } + }, + vertexShader: Be.background_vert, + fragmentShader: Be.background_frag + }, + backgroundCube: { + uniforms: { + envMap: { value: null }, + flipEnvMap: { value: -1 }, + backgroundBlurriness: { value: 0 }, + backgroundIntensity: { value: 1 } + }, + vertexShader: Be.backgroundCube_vert, + fragmentShader: Be.backgroundCube_frag + }, + cube: { + uniforms: { + tCube: { value: null }, + tFlip: { value: -1 }, + opacity: { value: 1 } + }, + vertexShader: Be.cube_vert, + fragmentShader: Be.cube_frag + }, + equirect: { + uniforms: { + tEquirect: { value: null } + }, + vertexShader: Be.equirect_vert, + fragmentShader: Be.equirect_frag + }, + distanceRGBA: { + uniforms: /* @__PURE__ */ _t([ + se.common, + se.displacementmap, + { + referencePosition: { value: /* @__PURE__ */ new P() }, + nearDistance: { value: 1 }, + farDistance: { value: 1e3 } + } + ]), + vertexShader: Be.distanceRGBA_vert, + fragmentShader: Be.distanceRGBA_frag + }, + shadow: { + uniforms: /* @__PURE__ */ _t([ + se.lights, + se.fog, + { + color: { value: /* @__PURE__ */ new Xe(0) }, + opacity: { value: 1 } + } + ]), + vertexShader: Be.shadow_vert, + fragmentShader: Be.shadow_frag + } +}; +Gt.physical = { + uniforms: /* @__PURE__ */ _t([ + Gt.standard.uniforms, + { + clearcoat: { value: 0 }, + clearcoatMap: { value: null }, + clearcoatMapTransform: { value: /* @__PURE__ */ new Ve() }, + clearcoatNormalMap: { value: null }, + clearcoatNormalMapTransform: { value: /* @__PURE__ */ new Ve() }, + clearcoatNormalScale: { value: /* @__PURE__ */ new Ie(1, 1) }, + clearcoatRoughness: { value: 0 }, + clearcoatRoughnessMap: { value: null }, + clearcoatRoughnessMapTransform: { value: /* @__PURE__ */ new Ve() }, + iridescence: { value: 0 }, + iridescenceMap: { value: null }, + iridescenceMapTransform: { value: /* @__PURE__ */ new Ve() }, + iridescenceIOR: { value: 1.3 }, + iridescenceThicknessMinimum: { value: 100 }, + iridescenceThicknessMaximum: { value: 400 }, + iridescenceThicknessMap: { value: null }, + iridescenceThicknessMapTransform: { value: /* @__PURE__ */ new Ve() }, + sheen: { value: 0 }, + sheenColor: { value: /* @__PURE__ */ new Xe(0) }, + sheenColorMap: { value: null }, + sheenColorMapTransform: { value: /* @__PURE__ */ new Ve() }, + sheenRoughness: { value: 1 }, + sheenRoughnessMap: { value: null }, + sheenRoughnessMapTransform: { value: /* @__PURE__ */ new Ve() }, + transmission: { value: 0 }, + transmissionMap: { value: null }, + transmissionMapTransform: { value: /* @__PURE__ */ new Ve() }, + transmissionSamplerSize: { value: /* @__PURE__ */ new Ie() }, + transmissionSamplerMap: { value: null }, + thickness: { value: 0 }, + thicknessMap: { value: null }, + thicknessMapTransform: { value: /* @__PURE__ */ new Ve() }, + attenuationDistance: { value: 0 }, + attenuationColor: { value: /* @__PURE__ */ new Xe(0) }, + specularColor: { value: /* @__PURE__ */ new Xe(1, 1, 1) }, + specularColorMap: { value: null }, + specularColorMapTransform: { value: /* @__PURE__ */ new Ve() }, + specularIntensity: { value: 1 }, + specularIntensityMap: { value: null }, + specularIntensityMapTransform: { value: /* @__PURE__ */ new Ve() }, + anisotropyVector: { value: /* @__PURE__ */ new Ie() }, + anisotropyMap: { value: null }, + anisotropyMapTransform: { value: /* @__PURE__ */ new Ve() } + } + ]), + vertexShader: Be.meshphysical_vert, + fragmentShader: Be.meshphysical_frag +}; +const Wi = { r: 0, b: 0, g: 0 }; +function Jh(i, e, t, n, r, s, o) { + const a = new Xe(0); + let l = s === !0 ? 0 : 1, c, h, d = null, p = 0, m = null; + function g(f, u) { + let b = !1, S = u.isScene === !0 ? u.background : null; + S && S.isTexture && (S = (u.backgroundBlurriness > 0 ? t : e).get(S)), S === null ? v(a, l) : S && S.isColor && (v(S, 1), b = !0); + const R = i.xr.getEnvironmentBlendMode(); + R === "additive" ? n.buffers.color.setClear(0, 0, 0, 1, o) : R === "alpha-blend" && n.buffers.color.setClear(0, 0, 0, 0, o), (i.autoClear || b) && i.clear(i.autoClearColor, i.autoClearDepth, i.autoClearStencil), S && (S.isCubeTexture || S.mapping === rr) ? (h === void 0 && (h = new Ot( + new ii(1, 1, 1), + new wn({ + name: "BackgroundCubeMaterial", + uniforms: ni(Gt.backgroundCube.uniforms), + vertexShader: Gt.backgroundCube.vertexShader, + fragmentShader: Gt.backgroundCube.fragmentShader, + side: Mt, + depthTest: !1, + depthWrite: !1, + fog: !1 + }) + ), h.geometry.deleteAttribute("normal"), h.geometry.deleteAttribute("uv"), h.onBeforeRender = function(D, C, A) { + this.matrixWorld.copyPosition(A.matrixWorld); + }, Object.defineProperty(h.material, "envMap", { + get: function() { + return this.uniforms.envMap.value; + } + }), r.update(h)), h.material.uniforms.envMap.value = S, h.material.uniforms.flipEnvMap.value = S.isCubeTexture && S.isRenderTargetTexture === !1 ? -1 : 1, h.material.uniforms.backgroundBlurriness.value = u.backgroundBlurriness, h.material.uniforms.backgroundIntensity.value = u.backgroundIntensity, h.material.toneMapped = Ke.getTransfer(S.colorSpace) !== Ze, (d !== S || p !== S.version || m !== i.toneMapping) && (h.material.needsUpdate = !0, d = S, p = S.version, m = i.toneMapping), h.layers.enableAll(), f.unshift(h, h.geometry, h.material, 0, 0, null)) : S && S.isTexture && (c === void 0 && (c = new Ot( + new us(2, 2), + new wn({ + name: "BackgroundMaterial", + uniforms: ni(Gt.background.uniforms), + vertexShader: Gt.background.vertexShader, + fragmentShader: Gt.background.fragmentShader, + side: un, + depthTest: !1, + depthWrite: !1, + fog: !1 + }) + ), c.geometry.deleteAttribute("normal"), Object.defineProperty(c.material, "map", { + get: function() { + return this.uniforms.t2D.value; + } + }), r.update(c)), c.material.uniforms.t2D.value = S, c.material.uniforms.backgroundIntensity.value = u.backgroundIntensity, c.material.toneMapped = Ke.getTransfer(S.colorSpace) !== Ze, S.matrixAutoUpdate === !0 && S.updateMatrix(), c.material.uniforms.uvTransform.value.copy(S.matrix), (d !== S || p !== S.version || m !== i.toneMapping) && (c.material.needsUpdate = !0, d = S, p = S.version, m = i.toneMapping), c.layers.enableAll(), f.unshift(c, c.geometry, c.material, 0, 0, null)); + } + function v(f, u) { + f.getRGB(Wi, Co(i)), n.buffers.color.setClear(Wi.r, Wi.g, Wi.b, u, o); + } + return { + getClearColor: function() { + return a; + }, + setClearColor: function(f, u = 1) { + a.set(f), l = u, v(a, l); + }, + getClearAlpha: function() { + return l; + }, + setClearAlpha: function(f) { + l = f, v(a, l); + }, + render: g + }; +} +function Qh(i, e, t, n) { + const r = i.getParameter(i.MAX_VERTEX_ATTRIBS), s = n.isWebGL2 ? null : e.get("OES_vertex_array_object"), o = n.isWebGL2 || s !== null, a = {}, l = f(null); + let c = l, h = !1; + function d(L, F, V, Y, X) { + let k = !1; + if (o) { + const q = v(Y, V, F); + c !== q && (c = q, m(c.object)), k = u(L, Y, V, X), k && b(L, Y, V, X); + } else { + const q = F.wireframe === !0; + (c.geometry !== Y.id || c.program !== V.id || c.wireframe !== q) && (c.geometry = Y.id, c.program = V.id, c.wireframe = q, k = !0); + } + X !== null && t.update(X, i.ELEMENT_ARRAY_BUFFER), (k || h) && (h = !1, W(L, F, V, Y), X !== null && i.bindBuffer(i.ELEMENT_ARRAY_BUFFER, t.get(X).buffer)); + } + function p() { + return n.isWebGL2 ? i.createVertexArray() : s.createVertexArrayOES(); + } + function m(L) { + return n.isWebGL2 ? i.bindVertexArray(L) : s.bindVertexArrayOES(L); + } + function g(L) { + return n.isWebGL2 ? i.deleteVertexArray(L) : s.deleteVertexArrayOES(L); + } + function v(L, F, V) { + const Y = V.wireframe === !0; + let X = a[L.id]; + X === void 0 && (X = {}, a[L.id] = X); + let k = X[F.id]; + k === void 0 && (k = {}, X[F.id] = k); + let q = k[Y]; + return q === void 0 && (q = f(p()), k[Y] = q), q; + } + function f(L) { + const F = [], V = [], Y = []; + for (let X = 0; X < r; X++) + F[X] = 0, V[X] = 0, Y[X] = 0; + return { + // for backward compatibility on non-VAO support browser + geometry: null, + program: null, + wireframe: !1, + newAttributes: F, + enabledAttributes: V, + attributeDivisors: Y, + object: L, + attributes: {}, + index: null + }; + } + function u(L, F, V, Y) { + const X = c.attributes, k = F.attributes; + let q = 0; + const Q = V.getAttributes(); + for (const ce in Q) + if (Q[ce].location >= 0) { + const j = X[ce]; + let oe = k[ce]; + if (oe === void 0 && (ce === "instanceMatrix" && L.instanceMatrix && (oe = L.instanceMatrix), ce === "instanceColor" && L.instanceColor && (oe = L.instanceColor)), j === void 0 || j.attribute !== oe || oe && j.data !== oe.data) return !0; + q++; + } + return c.attributesNum !== q || c.index !== Y; + } + function b(L, F, V, Y) { + const X = {}, k = F.attributes; + let q = 0; + const Q = V.getAttributes(); + for (const ce in Q) + if (Q[ce].location >= 0) { + let j = k[ce]; + j === void 0 && (ce === "instanceMatrix" && L.instanceMatrix && (j = L.instanceMatrix), ce === "instanceColor" && L.instanceColor && (j = L.instanceColor)); + const oe = {}; + oe.attribute = j, j && j.data && (oe.data = j.data), X[ce] = oe, q++; + } + c.attributes = X, c.attributesNum = q, c.index = Y; + } + function S() { + const L = c.newAttributes; + for (let F = 0, V = L.length; F < V; F++) + L[F] = 0; + } + function R(L) { + D(L, 0); + } + function D(L, F) { + const V = c.newAttributes, Y = c.enabledAttributes, X = c.attributeDivisors; + V[L] = 1, Y[L] === 0 && (i.enableVertexAttribArray(L), Y[L] = 1), X[L] !== F && ((n.isWebGL2 ? i : e.get("ANGLE_instanced_arrays"))[n.isWebGL2 ? "vertexAttribDivisor" : "vertexAttribDivisorANGLE"](L, F), X[L] = F); + } + function C() { + const L = c.newAttributes, F = c.enabledAttributes; + for (let V = 0, Y = F.length; V < Y; V++) + F[V] !== L[V] && (i.disableVertexAttribArray(V), F[V] = 0); + } + function A(L, F, V, Y, X, k, q) { + q === !0 ? i.vertexAttribIPointer(L, F, V, X, k) : i.vertexAttribPointer(L, F, V, Y, X, k); + } + function W(L, F, V, Y) { + if (n.isWebGL2 === !1 && (L.isInstancedMesh || Y.isInstancedBufferGeometry) && e.get("ANGLE_instanced_arrays") === null) + return; + S(); + const X = Y.attributes, k = V.getAttributes(), q = F.defaultAttributeValues; + for (const Q in k) { + const ce = k[Q]; + if (ce.location >= 0) { + let H = X[Q]; + if (H === void 0 && (Q === "instanceMatrix" && L.instanceMatrix && (H = L.instanceMatrix), Q === "instanceColor" && L.instanceColor && (H = L.instanceColor)), H !== void 0) { + const j = H.normalized, oe = H.itemSize, ve = t.get(H); + if (ve === void 0) continue; + const _e = ve.buffer, we = ve.type, Ae = ve.bytesPerElement, ge = n.isWebGL2 === !0 && (we === i.INT || we === i.UNSIGNED_INT || H.gpuType === co); + if (H.isInterleavedBufferAttribute) { + const Pe = H.data, N = Pe.stride, rt = H.offset; + if (Pe.isInstancedInterleavedBuffer) { + for (let Me = 0; Me < ce.locationSize; Me++) + D(ce.location + Me, Pe.meshPerAttribute); + L.isInstancedMesh !== !0 && Y._maxInstanceCount === void 0 && (Y._maxInstanceCount = Pe.meshPerAttribute * Pe.count); + } else + for (let Me = 0; Me < ce.locationSize; Me++) + R(ce.location + Me); + i.bindBuffer(i.ARRAY_BUFFER, _e); + for (let Me = 0; Me < ce.locationSize; Me++) + A( + ce.location + Me, + oe / ce.locationSize, + we, + j, + N * Ae, + (rt + oe / ce.locationSize * Me) * Ae, + ge + ); + } else { + if (H.isInstancedBufferAttribute) { + for (let Pe = 0; Pe < ce.locationSize; Pe++) + D(ce.location + Pe, H.meshPerAttribute); + L.isInstancedMesh !== !0 && Y._maxInstanceCount === void 0 && (Y._maxInstanceCount = H.meshPerAttribute * H.count); + } else + for (let Pe = 0; Pe < ce.locationSize; Pe++) + R(ce.location + Pe); + i.bindBuffer(i.ARRAY_BUFFER, _e); + for (let Pe = 0; Pe < ce.locationSize; Pe++) + A( + ce.location + Pe, + oe / ce.locationSize, + we, + j, + oe * Ae, + oe / ce.locationSize * Pe * Ae, + ge + ); + } + } else if (q !== void 0) { + const j = q[Q]; + if (j !== void 0) + switch (j.length) { + case 2: + i.vertexAttrib2fv(ce.location, j); + break; + case 3: + i.vertexAttrib3fv(ce.location, j); + break; + case 4: + i.vertexAttrib4fv(ce.location, j); + break; + default: + i.vertexAttrib1fv(ce.location, j); + } + } + } + } + C(); + } + function x() { + Z(); + for (const L in a) { + const F = a[L]; + for (const V in F) { + const Y = F[V]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete F[V]; + } + delete a[L]; + } + } + function y(L) { + if (a[L.id] === void 0) return; + const F = a[L.id]; + for (const V in F) { + const Y = F[V]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete F[V]; + } + delete a[L.id]; + } + function z(L) { + for (const F in a) { + const V = a[F]; + if (V[L.id] === void 0) continue; + const Y = V[L.id]; + for (const X in Y) + g(Y[X].object), delete Y[X]; + delete V[L.id]; + } + } + function Z() { + re(), h = !0, c !== l && (c = l, m(c.object)); + } + function re() { + l.geometry = null, l.program = null, l.wireframe = !1; + } + return { + setup: d, + reset: Z, + resetDefaultState: re, + dispose: x, + releaseStatesOfGeometry: y, + releaseStatesOfProgram: z, + initAttributes: S, + enableAttribute: R, + disableUnusedAttributes: C + }; +} +function ed(i, e, t, n) { + const r = n.isWebGL2; + let s; + function o(h) { + s = h; + } + function a(h, d) { + i.drawArrays(s, h, d), t.update(d, s, 1); + } + function l(h, d, p) { + if (p === 0) return; + let m, g; + if (r) + m = i, g = "drawArraysInstanced"; + else if (m = e.get("ANGLE_instanced_arrays"), g = "drawArraysInstancedANGLE", m === null) { + console.error("THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); + return; + } + m[g](s, h, d, p), t.update(d, s, p); + } + function c(h, d, p) { + if (p === 0) return; + const m = e.get("WEBGL_multi_draw"); + if (m === null) + for (let g = 0; g < p; g++) + this.render(h[g], d[g]); + else { + m.multiDrawArraysWEBGL(s, h, 0, d, 0, p); + let g = 0; + for (let v = 0; v < p; v++) + g += d[v]; + t.update(g, s, 1); + } + } + this.setMode = o, this.render = a, this.renderInstances = l, this.renderMultiDraw = c; +} +function td(i, e, t) { + let n; + function r() { + if (n !== void 0) return n; + if (e.has("EXT_texture_filter_anisotropic") === !0) { + const A = e.get("EXT_texture_filter_anisotropic"); + n = i.getParameter(A.MAX_TEXTURE_MAX_ANISOTROPY_EXT); + } else + n = 0; + return n; + } + function s(A) { + if (A === "highp") { + if (i.getShaderPrecisionFormat(i.VERTEX_SHADER, i.HIGH_FLOAT).precision > 0 && i.getShaderPrecisionFormat(i.FRAGMENT_SHADER, i.HIGH_FLOAT).precision > 0) + return "highp"; + A = "mediump"; + } + return A === "mediump" && i.getShaderPrecisionFormat(i.VERTEX_SHADER, i.MEDIUM_FLOAT).precision > 0 && i.getShaderPrecisionFormat(i.FRAGMENT_SHADER, i.MEDIUM_FLOAT).precision > 0 ? "mediump" : "lowp"; + } + const o = typeof WebGL2RenderingContext < "u" && i.constructor.name === "WebGL2RenderingContext"; + let a = t.precision !== void 0 ? t.precision : "highp"; + const l = s(a); + l !== a && (console.warn("THREE.WebGLRenderer:", a, "not supported, using", l, "instead."), a = l); + const c = o || e.has("WEBGL_draw_buffers"), h = t.logarithmicDepthBuffer === !0, d = i.getParameter(i.MAX_TEXTURE_IMAGE_UNITS), p = i.getParameter(i.MAX_VERTEX_TEXTURE_IMAGE_UNITS), m = i.getParameter(i.MAX_TEXTURE_SIZE), g = i.getParameter(i.MAX_CUBE_MAP_TEXTURE_SIZE), v = i.getParameter(i.MAX_VERTEX_ATTRIBS), f = i.getParameter(i.MAX_VERTEX_UNIFORM_VECTORS), u = i.getParameter(i.MAX_VARYING_VECTORS), b = i.getParameter(i.MAX_FRAGMENT_UNIFORM_VECTORS), S = p > 0, R = o || e.has("OES_texture_float"), D = S && R, C = o ? i.getParameter(i.MAX_SAMPLES) : 0; + return { + isWebGL2: o, + drawBuffers: c, + getMaxAnisotropy: r, + getMaxPrecision: s, + precision: a, + logarithmicDepthBuffer: h, + maxTextures: d, + maxVertexTextures: p, + maxTextureSize: m, + maxCubemapSize: g, + maxAttributes: v, + maxVertexUniforms: f, + maxVaryings: u, + maxFragmentUniforms: b, + vertexTextures: S, + floatFragmentTextures: R, + floatVertexTextures: D, + maxSamples: C + }; +} +function nd(i) { + const e = this; + let t = null, n = 0, r = !1, s = !1; + const o = new rn(), a = new Ve(), l = { value: null, needsUpdate: !1 }; + this.uniform = l, this.numPlanes = 0, this.numIntersection = 0, this.init = function(d, p) { + const m = d.length !== 0 || p || // enable state of previous frame - the clipping code has to + // run another frame in order to reset the state: + n !== 0 || r; + return r = p, n = d.length, m; + }, this.beginShadows = function() { + s = !0, h(null); + }, this.endShadows = function() { + s = !1; + }, this.setGlobalState = function(d, p) { + t = h(d, p, 0); + }, this.setState = function(d, p, m) { + const g = d.clippingPlanes, v = d.clipIntersection, f = d.clipShadows, u = i.get(d); + if (!r || g === null || g.length === 0 || s && !f) + s ? h(null) : c(); + else { + const b = s ? 0 : n, S = b * 4; + let R = u.clippingState || null; + l.value = R, R = h(g, p, S, m); + for (let D = 0; D !== S; ++D) + R[D] = t[D]; + u.clippingState = R, this.numIntersection = v ? this.numPlanes : 0, this.numPlanes += b; + } + }; + function c() { + l.value !== t && (l.value = t, l.needsUpdate = n > 0), e.numPlanes = n, e.numIntersection = 0; + } + function h(d, p, m, g) { + const v = d !== null ? d.length : 0; + let f = null; + if (v !== 0) { + if (f = l.value, g !== !0 || f === null) { + const u = m + v * 4, b = p.matrixWorldInverse; + a.getNormalMatrix(b), (f === null || f.length < u) && (f = new Float32Array(u)); + for (let S = 0, R = m; S !== v; ++S, R += 4) + o.copy(d[S]).applyMatrix4(b, a), o.normal.toArray(f, R), f[R + 3] = o.constant; + } + l.value = f, l.needsUpdate = !0; + } + return e.numPlanes = v, e.numIntersection = 0, f; + } +} +function id(i) { + let e = /* @__PURE__ */ new WeakMap(); + function t(o, a) { + return a === $r ? o.mapping = Qn : a === Jr && (o.mapping = ei), o; + } + function n(o) { + if (o && o.isTexture) { + const a = o.mapping; + if (a === $r || a === Jr) + if (e.has(o)) { + const l = e.get(o).texture; + return t(l, o.mapping); + } else { + const l = o.image; + if (l && l.height > 0) { + const c = new mc(l.height / 2); + return c.fromEquirectangularTexture(i, o), e.set(o, c), o.addEventListener("dispose", r), t(c.texture, o.mapping); + } else + return null; + } + } + return o; + } + function r(o) { + const a = o.target; + a.removeEventListener("dispose", r); + const l = e.get(a); + l !== void 0 && (e.delete(a), l.dispose()); + } + function s() { + e = /* @__PURE__ */ new WeakMap(); + } + return { + get: n, + dispose: s + }; +} +class Uo extends Lo { + constructor(e = -1, t = 1, n = 1, r = -1, s = 0.1, o = 2e3) { + super(), this.isOrthographicCamera = !0, this.type = "OrthographicCamera", this.zoom = 1, this.view = null, this.left = e, this.right = t, this.top = n, this.bottom = r, this.near = s, this.far = o, this.updateProjectionMatrix(); + } + copy(e, t) { + return super.copy(e, t), this.left = e.left, this.right = e.right, this.top = e.top, this.bottom = e.bottom, this.near = e.near, this.far = e.far, this.zoom = e.zoom, this.view = e.view === null ? null : Object.assign({}, e.view), this; + } + setViewOffset(e, t, n, r, s, o) { + this.view === null && (this.view = { + enabled: !0, + fullWidth: 1, + fullHeight: 1, + offsetX: 0, + offsetY: 0, + width: 1, + height: 1 + }), this.view.enabled = !0, this.view.fullWidth = e, this.view.fullHeight = t, this.view.offsetX = n, this.view.offsetY = r, this.view.width = s, this.view.height = o, this.updateProjectionMatrix(); + } + clearViewOffset() { + this.view !== null && (this.view.enabled = !1), this.updateProjectionMatrix(); + } + updateProjectionMatrix() { + const e = (this.right - this.left) / (2 * this.zoom), t = (this.top - this.bottom) / (2 * this.zoom), n = (this.right + this.left) / 2, r = (this.top + this.bottom) / 2; + let s = n - e, o = n + e, a = r + t, l = r - t; + if (this.view !== null && this.view.enabled) { + const c = (this.right - this.left) / this.view.fullWidth / this.zoom, h = (this.top - this.bottom) / this.view.fullHeight / this.zoom; + s += c * this.view.offsetX, o = s + c * this.view.width, a -= h * this.view.offsetY, l = a - h * this.view.height; + } + this.projectionMatrix.makeOrthographic(s, o, a, l, this.near, this.far, this.coordinateSystem), this.projectionMatrixInverse.copy(this.projectionMatrix).invert(); + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.zoom = this.zoom, t.object.left = this.left, t.object.right = this.right, t.object.top = this.top, t.object.bottom = this.bottom, t.object.near = this.near, t.object.far = this.far, this.view !== null && (t.object.view = Object.assign({}, this.view)), t; + } +} +const Kn = 4, xa = [0.125, 0.215, 0.35, 0.446, 0.526, 0.582], Sn = 20, Br = /* @__PURE__ */ new Uo(), Ma = /* @__PURE__ */ new Xe(); +let zr = null, Gr = 0, Hr = 0; +const xn = (1 + Math.sqrt(5)) / 2, Yn = 1 / xn, Sa = [ + /* @__PURE__ */ new P(1, 1, 1), + /* @__PURE__ */ new P(-1, 1, 1), + /* @__PURE__ */ new P(1, 1, -1), + /* @__PURE__ */ new P(-1, 1, -1), + /* @__PURE__ */ new P(0, xn, Yn), + /* @__PURE__ */ new P(0, xn, -Yn), + /* @__PURE__ */ new P(Yn, 0, xn), + /* @__PURE__ */ new P(-Yn, 0, xn), + /* @__PURE__ */ new P(xn, Yn, 0), + /* @__PURE__ */ new P(-xn, Yn, 0) +]; +class Ea { + constructor(e) { + this._renderer = e, this._pingPongRenderTarget = null, this._lodMax = 0, this._cubeSize = 0, this._lodPlanes = [], this._sizeLods = [], this._sigmas = [], this._blurMaterial = null, this._cubemapMaterial = null, this._equirectMaterial = null, this._compileMaterial(this._blurMaterial); + } + /** + * Generates a PMREM from a supplied Scene, which can be faster than using an + * image if networking bandwidth is low. Optional sigma specifies a blur radius + * in radians to be applied to the scene before PMREM generation. Optional near + * and far planes ensure the scene is rendered in its entirety (the cubeCamera + * is placed at the origin). + */ + fromScene(e, t = 0, n = 0.1, r = 100) { + zr = this._renderer.getRenderTarget(), Gr = this._renderer.getActiveCubeFace(), Hr = this._renderer.getActiveMipmapLevel(), this._setSize(256); + const s = this._allocateTargets(); + return s.depthBuffer = !0, this._sceneToCubeUV(e, n, r, s), t > 0 && this._blur(s, 0, 0, t), this._applyPMREM(s), this._cleanup(s), s; + } + /** + * Generates a PMREM from an equirectangular texture, which can be either LDR + * or HDR. The ideal input image size is 1k (1024 x 512), + * as this matches best with the 256 x 256 cubemap output. + */ + fromEquirectangular(e, t = null) { + return this._fromTexture(e, t); + } + /** + * Generates a PMREM from an cubemap texture, which can be either LDR + * or HDR. The ideal input cube size is 256 x 256, + * as this matches best with the 256 x 256 cubemap output. + */ + fromCubemap(e, t = null) { + return this._fromTexture(e, t); + } + /** + * Pre-compiles the cubemap shader. You can get faster start-up by invoking this method during + * your texture's network fetch for increased concurrency. + */ + compileCubemapShader() { + this._cubemapMaterial === null && (this._cubemapMaterial = ba(), this._compileMaterial(this._cubemapMaterial)); + } + /** + * Pre-compiles the equirectangular shader. You can get faster start-up by invoking this method during + * your texture's network fetch for increased concurrency. + */ + compileEquirectangularShader() { + this._equirectMaterial === null && (this._equirectMaterial = Ta(), this._compileMaterial(this._equirectMaterial)); + } + /** + * Disposes of the PMREMGenerator's internal memory. Note that PMREMGenerator is a static class, + * so you should not need more than one PMREMGenerator object. If you do, calling dispose() on + * one of them will cause any others to also become unusable. + */ + dispose() { + this._dispose(), this._cubemapMaterial !== null && this._cubemapMaterial.dispose(), this._equirectMaterial !== null && this._equirectMaterial.dispose(); + } + // private interface + _setSize(e) { + this._lodMax = Math.floor(Math.log2(e)), this._cubeSize = Math.pow(2, this._lodMax); + } + _dispose() { + this._blurMaterial !== null && this._blurMaterial.dispose(), this._pingPongRenderTarget !== null && this._pingPongRenderTarget.dispose(); + for (let e = 0; e < this._lodPlanes.length; e++) + this._lodPlanes[e].dispose(); + } + _cleanup(e) { + this._renderer.setRenderTarget(zr, Gr, Hr), e.scissorTest = !1, Xi(e, 0, 0, e.width, e.height); + } + _fromTexture(e, t) { + e.mapping === Qn || e.mapping === ei ? this._setSize(e.image.length === 0 ? 16 : e.image[0].width || e.image[0].image.width) : this._setSize(e.image.width / 4), zr = this._renderer.getRenderTarget(), Gr = this._renderer.getActiveCubeFace(), Hr = this._renderer.getActiveMipmapLevel(); + const n = t || this._allocateTargets(); + return this._textureToCubeUV(e, n), this._applyPMREM(n), this._cleanup(n), n; + } + _allocateTargets() { + const e = 3 * Math.max(this._cubeSize, 112), t = 4 * this._cubeSize, n = { + magFilter: Rt, + minFilter: Rt, + generateMipmaps: !1, + type: gi, + format: Ft, + colorSpace: $t, + depthBuffer: !1 + }, r = ya(e, t, n); + if (this._pingPongRenderTarget === null || this._pingPongRenderTarget.width !== e || this._pingPongRenderTarget.height !== t) { + this._pingPongRenderTarget !== null && this._dispose(), this._pingPongRenderTarget = ya(e, t, n); + const { _lodMax: s } = this; + ({ sizeLods: this._sizeLods, lodPlanes: this._lodPlanes, sigmas: this._sigmas } = rd(s)), this._blurMaterial = sd(s, e, t); + } + return r; + } + _compileMaterial(e) { + const t = new Ot(this._lodPlanes[0], e); + this._renderer.compile(t, Br); + } + _sceneToCubeUV(e, t, n, r) { + const a = new Tt(90, 1, t, n), l = [1, -1, 1, 1, 1, 1], c = [1, 1, 1, -1, -1, -1], h = this._renderer, d = h.autoClear, p = h.toneMapping; + h.getClearColor(Ma), h.toneMapping = ln, h.autoClear = !1; + const m = new ls({ + name: "PMREM.Background", + side: Mt, + depthWrite: !1, + depthTest: !1 + }), g = new Ot(new ii(), m); + let v = !1; + const f = e.background; + f ? f.isColor && (m.color.copy(f), e.background = null, v = !0) : (m.color.copy(Ma), v = !0); + for (let u = 0; u < 6; u++) { + const b = u % 3; + b === 0 ? (a.up.set(0, l[u], 0), a.lookAt(c[u], 0, 0)) : b === 1 ? (a.up.set(0, 0, l[u]), a.lookAt(0, c[u], 0)) : (a.up.set(0, l[u], 0), a.lookAt(0, 0, c[u])); + const S = this._cubeSize; + Xi(r, b * S, u > 2 ? S : 0, S, S), h.setRenderTarget(r), v && h.render(g, a), h.render(e, a); + } + g.geometry.dispose(), g.material.dispose(), h.toneMapping = p, h.autoClear = d, e.background = f; + } + _textureToCubeUV(e, t) { + const n = this._renderer, r = e.mapping === Qn || e.mapping === ei; + r ? (this._cubemapMaterial === null && (this._cubemapMaterial = ba()), this._cubemapMaterial.uniforms.flipEnvMap.value = e.isRenderTargetTexture === !1 ? -1 : 1) : this._equirectMaterial === null && (this._equirectMaterial = Ta()); + const s = r ? this._cubemapMaterial : this._equirectMaterial, o = new Ot(this._lodPlanes[0], s), a = s.uniforms; + a.envMap.value = e; + const l = this._cubeSize; + Xi(t, 0, 0, 3 * l, 2 * l), n.setRenderTarget(t), n.render(o, Br); + } + _applyPMREM(e) { + const t = this._renderer, n = t.autoClear; + t.autoClear = !1; + for (let r = 1; r < this._lodPlanes.length; r++) { + const s = Math.sqrt(this._sigmas[r] * this._sigmas[r] - this._sigmas[r - 1] * this._sigmas[r - 1]), o = Sa[(r - 1) % Sa.length]; + this._blur(e, r - 1, r, s, o); + } + t.autoClear = n; + } + /** + * This is a two-pass Gaussian blur for a cubemap. Normally this is done + * vertically and horizontally, but this breaks down on a cube. Here we apply + * the blur latitudinally (around the poles), and then longitudinally (towards + * the poles) to approximate the orthogonally-separable blur. It is least + * accurate at the poles, but still does a decent job. + */ + _blur(e, t, n, r, s) { + const o = this._pingPongRenderTarget; + this._halfBlur( + e, + o, + t, + n, + r, + "latitudinal", + s + ), this._halfBlur( + o, + e, + n, + n, + r, + "longitudinal", + s + ); + } + _halfBlur(e, t, n, r, s, o, a) { + const l = this._renderer, c = this._blurMaterial; + o !== "latitudinal" && o !== "longitudinal" && console.error( + "blur direction must be either latitudinal or longitudinal!" + ); + const h = 3, d = new Ot(this._lodPlanes[r], c), p = c.uniforms, m = this._sizeLods[n] - 1, g = isFinite(s) ? Math.PI / (2 * m) : 2 * Math.PI / (2 * Sn - 1), v = s / g, f = isFinite(s) ? 1 + Math.floor(h * v) : Sn; + f > Sn && console.warn(`sigmaRadians, ${s}, is too large and will clip, as it requested ${f} samples when the maximum is set to ${Sn}`); + const u = []; + let b = 0; + for (let A = 0; A < Sn; ++A) { + const W = A / v, x = Math.exp(-W * W / 2); + u.push(x), A === 0 ? b += x : A < f && (b += 2 * x); + } + for (let A = 0; A < u.length; A++) + u[A] = u[A] / b; + p.envMap.value = e.texture, p.samples.value = f, p.weights.value = u, p.latitudinal.value = o === "latitudinal", a && (p.poleAxis.value = a); + const { _lodMax: S } = this; + p.dTheta.value = g, p.mipInt.value = S - n; + const R = this._sizeLods[r], D = 3 * R * (r > S - Kn ? r - S + Kn : 0), C = 4 * (this._cubeSize - R); + Xi(t, D, C, 3 * R, 2 * R), l.setRenderTarget(t), l.render(d, Br); + } +} +function rd(i) { + const e = [], t = [], n = []; + let r = i; + const s = i - Kn + 1 + xa.length; + for (let o = 0; o < s; o++) { + const a = Math.pow(2, r); + t.push(a); + let l = 1 / a; + o > i - Kn ? l = xa[o - i + Kn - 1] : o === 0 && (l = 0), n.push(l); + const c = 1 / (a - 2), h = -c, d = 1 + c, p = [h, h, d, h, d, d, h, h, d, d, h, d], m = 6, g = 6, v = 3, f = 2, u = 1, b = new Float32Array(v * g * m), S = new Float32Array(f * g * m), R = new Float32Array(u * g * m); + for (let C = 0; C < m; C++) { + const A = C % 3 * 2 / 3 - 1, W = C > 2 ? 0 : -1, x = [ + A, + W, + 0, + A + 2 / 3, + W, + 0, + A + 2 / 3, + W + 1, + 0, + A, + W, + 0, + A + 2 / 3, + W + 1, + 0, + A, + W + 1, + 0 + ]; + b.set(x, v * g * C), S.set(p, f * g * C); + const y = [C, C, C, C, C, C]; + R.set(y, u * g * C); + } + const D = new hn(); + D.setAttribute("position", new Bt(b, v)), D.setAttribute("uv", new Bt(S, f)), D.setAttribute("faceIndex", new Bt(R, u)), e.push(D), r > Kn && r--; + } + return { lodPlanes: e, sizeLods: t, sigmas: n }; +} +function ya(i, e, t) { + const n = new bn(i, e, t); + return n.texture.mapping = rr, n.texture.name = "PMREM.cubeUv", n.scissorTest = !0, n; +} +function Xi(i, e, t, n, r) { + i.viewport.set(e, t, n, r), i.scissor.set(e, t, n, r); +} +function sd(i, e, t) { + const n = new Float32Array(Sn), r = new P(0, 1, 0); + return new wn({ + name: "SphericalGaussianBlur", + defines: { + n: Sn, + CUBEUV_TEXEL_WIDTH: 1 / e, + CUBEUV_TEXEL_HEIGHT: 1 / t, + CUBEUV_MAX_MIP: `${i}.0` + }, + uniforms: { + envMap: { value: null }, + samples: { value: 1 }, + weights: { value: n }, + latitudinal: { value: !1 }, + dTheta: { value: 0 }, + mipInt: { value: 0 }, + poleAxis: { value: r } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + uniform int samples; + uniform float weights[ n ]; + uniform bool latitudinal; + uniform float dTheta; + uniform float mipInt; + uniform vec3 poleAxis; + + #define ENVMAP_TYPE_CUBE_UV + #include + + vec3 getSample( float theta, vec3 axis ) { + + float cosTheta = cos( theta ); + // Rodrigues' axis-angle rotation + vec3 sampleDirection = vOutputDirection * cosTheta + + cross( axis, vOutputDirection ) * sin( theta ) + + axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta ); + + return bilinearCubeUV( envMap, sampleDirection, mipInt ); + + } + + void main() { + + vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection ); + + if ( all( equal( axis, vec3( 0.0 ) ) ) ) { + + axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x ); + + } + + axis = normalize( axis ); + + gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 ); + gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis ); + + for ( int i = 1; i < n; i++ ) { + + if ( i >= samples ) { + + break; + + } + + float theta = dTheta * float( i ); + gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis ); + gl_FragColor.rgb += weights[ i ] * getSample( theta, axis ); + + } + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function Ta() { + return new wn({ + name: "EquirectangularToCubeUV", + uniforms: { + envMap: { value: null } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + varying vec3 vOutputDirection; + + uniform sampler2D envMap; + + #include + + void main() { + + vec3 outputDirection = normalize( vOutputDirection ); + vec2 uv = equirectUv( outputDirection ); + + gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 ); + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function ba() { + return new wn({ + name: "CubemapToCubeUV", + uniforms: { + envMap: { value: null }, + flipEnvMap: { value: -1 } + }, + vertexShader: hs(), + fragmentShader: ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + uniform float flipEnvMap; + + varying vec3 vOutputDirection; + + uniform samplerCube envMap; + + void main() { + + gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) ); + + } + ` + ), + blending: on, + depthTest: !1, + depthWrite: !1 + }); +} +function hs() { + return ( + /* glsl */ + ` + + precision mediump float; + precision mediump int; + + attribute float faceIndex; + + varying vec3 vOutputDirection; + + // RH coordinate system; PMREM face-indexing convention + vec3 getDirection( vec2 uv, float face ) { + + uv = 2.0 * uv - 1.0; + + vec3 direction = vec3( uv, 1.0 ); + + if ( face == 0.0 ) { + + direction = direction.zyx; // ( 1, v, u ) pos x + + } else if ( face == 1.0 ) { + + direction = direction.xzy; + direction.xz *= -1.0; // ( -u, 1, -v ) pos y + + } else if ( face == 2.0 ) { + + direction.x *= -1.0; // ( -u, v, 1 ) pos z + + } else if ( face == 3.0 ) { + + direction = direction.zyx; + direction.xz *= -1.0; // ( -1, v, -u ) neg x + + } else if ( face == 4.0 ) { + + direction = direction.xzy; + direction.xy *= -1.0; // ( -u, -1, v ) neg y + + } else if ( face == 5.0 ) { + + direction.z *= -1.0; // ( u, v, -1 ) neg z + + } + + return direction; + + } + + void main() { + + vOutputDirection = getDirection( uv, faceIndex ); + gl_Position = vec4( position, 1.0 ); + + } + ` + ); +} +function ad(i) { + let e = /* @__PURE__ */ new WeakMap(), t = null; + function n(a) { + if (a && a.isTexture) { + const l = a.mapping, c = l === $r || l === Jr, h = l === Qn || l === ei; + if (c || h) + if (a.isRenderTargetTexture && a.needsPMREMUpdate === !0) { + a.needsPMREMUpdate = !1; + let d = e.get(a); + return t === null && (t = new Ea(i)), d = c ? t.fromEquirectangular(a, d) : t.fromCubemap(a, d), e.set(a, d), d.texture; + } else { + if (e.has(a)) + return e.get(a).texture; + { + const d = a.image; + if (c && d && d.height > 0 || h && d && r(d)) { + t === null && (t = new Ea(i)); + const p = c ? t.fromEquirectangular(a) : t.fromCubemap(a); + return e.set(a, p), a.addEventListener("dispose", s), p.texture; + } else + return null; + } + } + } + return a; + } + function r(a) { + let l = 0; + const c = 6; + for (let h = 0; h < c; h++) + a[h] !== void 0 && l++; + return l === c; + } + function s(a) { + const l = a.target; + l.removeEventListener("dispose", s); + const c = e.get(l); + c !== void 0 && (e.delete(l), c.dispose()); + } + function o() { + e = /* @__PURE__ */ new WeakMap(), t !== null && (t.dispose(), t = null); + } + return { + get: n, + dispose: o + }; +} +function od(i) { + const e = {}; + function t(n) { + if (e[n] !== void 0) + return e[n]; + let r; + switch (n) { + case "WEBGL_depth_texture": + r = i.getExtension("WEBGL_depth_texture") || i.getExtension("MOZ_WEBGL_depth_texture") || i.getExtension("WEBKIT_WEBGL_depth_texture"); + break; + case "EXT_texture_filter_anisotropic": + r = i.getExtension("EXT_texture_filter_anisotropic") || i.getExtension("MOZ_EXT_texture_filter_anisotropic") || i.getExtension("WEBKIT_EXT_texture_filter_anisotropic"); + break; + case "WEBGL_compressed_texture_s3tc": + r = i.getExtension("WEBGL_compressed_texture_s3tc") || i.getExtension("MOZ_WEBGL_compressed_texture_s3tc") || i.getExtension("WEBKIT_WEBGL_compressed_texture_s3tc"); + break; + case "WEBGL_compressed_texture_pvrtc": + r = i.getExtension("WEBGL_compressed_texture_pvrtc") || i.getExtension("WEBKIT_WEBGL_compressed_texture_pvrtc"); + break; + default: + r = i.getExtension(n); + } + return e[n] = r, r; + } + return { + has: function(n) { + return t(n) !== null; + }, + init: function(n) { + n.isWebGL2 ? (t("EXT_color_buffer_float"), t("WEBGL_clip_cull_distance")) : (t("WEBGL_depth_texture"), t("OES_texture_float"), t("OES_texture_half_float"), t("OES_texture_half_float_linear"), t("OES_standard_derivatives"), t("OES_element_index_uint"), t("OES_vertex_array_object"), t("ANGLE_instanced_arrays")), t("OES_texture_float_linear"), t("EXT_color_buffer_half_float"), t("WEBGL_multisampled_render_to_texture"); + }, + get: function(n) { + const r = t(n); + return r === null && console.warn("THREE.WebGLRenderer: " + n + " extension not supported."), r; + } + }; +} +function ld(i, e, t, n) { + const r = {}, s = /* @__PURE__ */ new WeakMap(); + function o(d) { + const p = d.target; + p.index !== null && e.remove(p.index); + for (const g in p.attributes) + e.remove(p.attributes[g]); + for (const g in p.morphAttributes) { + const v = p.morphAttributes[g]; + for (let f = 0, u = v.length; f < u; f++) + e.remove(v[f]); + } + p.removeEventListener("dispose", o), delete r[p.id]; + const m = s.get(p); + m && (e.remove(m), s.delete(p)), n.releaseStatesOfGeometry(p), p.isInstancedBufferGeometry === !0 && delete p._maxInstanceCount, t.memory.geometries--; + } + function a(d, p) { + return r[p.id] === !0 || (p.addEventListener("dispose", o), r[p.id] = !0, t.memory.geometries++), p; + } + function l(d) { + const p = d.attributes; + for (const g in p) + e.update(p[g], i.ARRAY_BUFFER); + const m = d.morphAttributes; + for (const g in m) { + const v = m[g]; + for (let f = 0, u = v.length; f < u; f++) + e.update(v[f], i.ARRAY_BUFFER); + } + } + function c(d) { + const p = [], m = d.index, g = d.attributes.position; + let v = 0; + if (m !== null) { + const b = m.array; + v = m.version; + for (let S = 0, R = b.length; S < R; S += 3) { + const D = b[S + 0], C = b[S + 1], A = b[S + 2]; + p.push(D, C, C, A, A, D); + } + } else if (g !== void 0) { + const b = g.array; + v = g.version; + for (let S = 0, R = b.length / 3 - 1; S < R; S += 3) { + const D = S + 0, C = S + 1, A = S + 2; + p.push(D, C, C, A, A, D); + } + } else + return; + const f = new (Mo(p) ? Ro : wo)(p, 1); + f.version = v; + const u = s.get(d); + u && e.remove(u), s.set(d, f); + } + function h(d) { + const p = s.get(d); + if (p) { + const m = d.index; + m !== null && p.version < m.version && c(d); + } else + c(d); + return s.get(d); + } + return { + get: a, + update: l, + getWireframeAttribute: h + }; +} +function cd(i, e, t, n) { + const r = n.isWebGL2; + let s; + function o(m) { + s = m; + } + let a, l; + function c(m) { + a = m.type, l = m.bytesPerElement; + } + function h(m, g) { + i.drawElements(s, g, a, m * l), t.update(g, s, 1); + } + function d(m, g, v) { + if (v === 0) return; + let f, u; + if (r) + f = i, u = "drawElementsInstanced"; + else if (f = e.get("ANGLE_instanced_arrays"), u = "drawElementsInstancedANGLE", f === null) { + console.error("THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); + return; + } + f[u](s, g, a, m * l, v), t.update(g, s, v); + } + function p(m, g, v) { + if (v === 0) return; + const f = e.get("WEBGL_multi_draw"); + if (f === null) + for (let u = 0; u < v; u++) + this.render(m[u] / l, g[u]); + else { + f.multiDrawElementsWEBGL(s, g, 0, a, m, 0, v); + let u = 0; + for (let b = 0; b < v; b++) + u += g[b]; + t.update(u, s, 1); + } + } + this.setMode = o, this.setIndex = c, this.render = h, this.renderInstances = d, this.renderMultiDraw = p; +} +function ud(i) { + const e = { + geometries: 0, + textures: 0 + }, t = { + frame: 0, + calls: 0, + triangles: 0, + points: 0, + lines: 0 + }; + function n(s, o, a) { + switch (t.calls++, o) { + case i.TRIANGLES: + t.triangles += a * (s / 3); + break; + case i.LINES: + t.lines += a * (s / 2); + break; + case i.LINE_STRIP: + t.lines += a * (s - 1); + break; + case i.LINE_LOOP: + t.lines += a * s; + break; + case i.POINTS: + t.points += a * s; + break; + default: + console.error("THREE.WebGLInfo: Unknown draw mode:", o); + break; + } + } + function r() { + t.calls = 0, t.triangles = 0, t.points = 0, t.lines = 0; + } + return { + memory: e, + render: t, + programs: null, + autoReset: !0, + reset: r, + update: n + }; +} +function hd(i, e) { + return i[0] - e[0]; +} +function dd(i, e) { + return Math.abs(e[1]) - Math.abs(i[1]); +} +function fd(i, e, t) { + const n = {}, r = new Float32Array(8), s = /* @__PURE__ */ new WeakMap(), o = new $e(), a = []; + for (let c = 0; c < 8; c++) + a[c] = [c, 0]; + function l(c, h, d) { + const p = c.morphTargetInfluences; + if (e.isWebGL2 === !0) { + const m = h.morphAttributes.position || h.morphAttributes.normal || h.morphAttributes.color, g = m !== void 0 ? m.length : 0; + let v = s.get(h); + if (v === void 0 || v.count !== g) { + let L = function() { + Z.dispose(), s.delete(h), h.removeEventListener("dispose", L); + }; + v !== void 0 && v.texture.dispose(); + const b = h.morphAttributes.position !== void 0, S = h.morphAttributes.normal !== void 0, R = h.morphAttributes.color !== void 0, D = h.morphAttributes.position || [], C = h.morphAttributes.normal || [], A = h.morphAttributes.color || []; + let W = 0; + b === !0 && (W = 1), S === !0 && (W = 2), R === !0 && (W = 3); + let x = h.attributes.position.count * W, y = 1; + x > e.maxTextureSize && (y = Math.ceil(x / e.maxTextureSize), x = e.maxTextureSize); + const z = new Float32Array(x * y * 4 * g), Z = new yo(z, x, y, g); + Z.type = an, Z.needsUpdate = !0; + const re = W * 4; + for (let F = 0; F < g; F++) { + const V = D[F], Y = C[F], X = A[F], k = x * y * 4 * F; + for (let q = 0; q < V.count; q++) { + const Q = q * re; + b === !0 && (o.fromBufferAttribute(V, q), z[k + Q + 0] = o.x, z[k + Q + 1] = o.y, z[k + Q + 2] = o.z, z[k + Q + 3] = 0), S === !0 && (o.fromBufferAttribute(Y, q), z[k + Q + 4] = o.x, z[k + Q + 5] = o.y, z[k + Q + 6] = o.z, z[k + Q + 7] = 0), R === !0 && (o.fromBufferAttribute(X, q), z[k + Q + 8] = o.x, z[k + Q + 9] = o.y, z[k + Q + 10] = o.z, z[k + Q + 11] = X.itemSize === 4 ? o.w : 1); + } + } + v = { + count: g, + texture: Z, + size: new Ie(x, y) + }, s.set(h, v), h.addEventListener("dispose", L); + } + let f = 0; + for (let b = 0; b < p.length; b++) + f += p[b]; + const u = h.morphTargetsRelative ? 1 : 1 - f; + d.getUniforms().setValue(i, "morphTargetBaseInfluence", u), d.getUniforms().setValue(i, "morphTargetInfluences", p), d.getUniforms().setValue(i, "morphTargetsTexture", v.texture, t), d.getUniforms().setValue(i, "morphTargetsTextureSize", v.size); + } else { + const m = p === void 0 ? 0 : p.length; + let g = n[h.id]; + if (g === void 0 || g.length !== m) { + g = []; + for (let S = 0; S < m; S++) + g[S] = [S, 0]; + n[h.id] = g; + } + for (let S = 0; S < m; S++) { + const R = g[S]; + R[0] = S, R[1] = p[S]; + } + g.sort(dd); + for (let S = 0; S < 8; S++) + S < m && g[S][1] ? (a[S][0] = g[S][0], a[S][1] = g[S][1]) : (a[S][0] = Number.MAX_SAFE_INTEGER, a[S][1] = 0); + a.sort(hd); + const v = h.morphAttributes.position, f = h.morphAttributes.normal; + let u = 0; + for (let S = 0; S < 8; S++) { + const R = a[S], D = R[0], C = R[1]; + D !== Number.MAX_SAFE_INTEGER && C ? (v && h.getAttribute("morphTarget" + S) !== v[D] && h.setAttribute("morphTarget" + S, v[D]), f && h.getAttribute("morphNormal" + S) !== f[D] && h.setAttribute("morphNormal" + S, f[D]), r[S] = C, u += C) : (v && h.hasAttribute("morphTarget" + S) === !0 && h.deleteAttribute("morphTarget" + S), f && h.hasAttribute("morphNormal" + S) === !0 && h.deleteAttribute("morphNormal" + S), r[S] = 0); + } + const b = h.morphTargetsRelative ? 1 : 1 - u; + d.getUniforms().setValue(i, "morphTargetBaseInfluence", b), d.getUniforms().setValue(i, "morphTargetInfluences", r); + } + } + return { + update: l + }; +} +function pd(i, e, t, n) { + let r = /* @__PURE__ */ new WeakMap(); + function s(l) { + const c = n.render.frame, h = l.geometry, d = e.get(l, h); + if (r.get(d) !== c && (e.update(d), r.set(d, c)), l.isInstancedMesh && (l.hasEventListener("dispose", a) === !1 && l.addEventListener("dispose", a), r.get(l) !== c && (t.update(l.instanceMatrix, i.ARRAY_BUFFER), l.instanceColor !== null && t.update(l.instanceColor, i.ARRAY_BUFFER), r.set(l, c))), l.isSkinnedMesh) { + const p = l.skeleton; + r.get(p) !== c && (p.update(), r.set(p, c)); + } + return d; + } + function o() { + r = /* @__PURE__ */ new WeakMap(); + } + function a(l) { + const c = l.target; + c.removeEventListener("dispose", a), t.remove(c.instanceMatrix), c.instanceColor !== null && t.remove(c.instanceColor); + } + return { + update: s, + dispose: o + }; +} +class Io extends bt { + constructor(e, t, n, r, s, o, a, l, c, h) { + if (h = h !== void 0 ? h : yn, h !== yn && h !== ti) + throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat"); + n === void 0 && h === yn && (n = sn), n === void 0 && h === ti && (n = En), super(null, r, s, o, a, l, h, n, c), this.isDepthTexture = !0, this.image = { width: e, height: t }, this.magFilter = a !== void 0 ? a : gt, this.minFilter = l !== void 0 ? l : gt, this.flipY = !1, this.generateMipmaps = !1, this.compareFunction = null; + } + copy(e) { + return super.copy(e), this.compareFunction = e.compareFunction, this; + } + toJSON(e) { + const t = super.toJSON(e); + return this.compareFunction !== null && (t.compareFunction = this.compareFunction), t; + } +} +const No = /* @__PURE__ */ new bt(), Fo = /* @__PURE__ */ new Io(1, 1); +Fo.compareFunction = xo; +const Oo = /* @__PURE__ */ new yo(), Bo = /* @__PURE__ */ new Jl(), zo = /* @__PURE__ */ new Po(), Aa = [], wa = [], Ra = new Float32Array(16), Ca = new Float32Array(9), La = new Float32Array(4); +function ri(i, e, t) { + const n = i[0]; + if (n <= 0 || n > 0) return i; + const r = e * t; + let s = Aa[r]; + if (s === void 0 && (s = new Float32Array(r), Aa[r] = s), e !== 0) { + n.toArray(s, 0); + for (let o = 1, a = 0; o !== e; ++o) + a += t, i[o].toArray(s, a); + } + return s; +} +function ot(i, e) { + if (i.length !== e.length) return !1; + for (let t = 0, n = i.length; t < n; t++) + if (i[t] !== e[t]) return !1; + return !0; +} +function lt(i, e) { + for (let t = 0, n = e.length; t < n; t++) + i[t] = e[t]; +} +function or(i, e) { + let t = wa[e]; + t === void 0 && (t = new Int32Array(e), wa[e] = t); + for (let n = 0; n !== e; ++n) + t[n] = i.allocateTextureUnit(); + return t; +} +function md(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1f(this.addr, e), t[0] = e); +} +function _d(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2f(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2fv(this.addr, e), lt(t, e); + } +} +function gd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3f(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else if (e.r !== void 0) + (t[0] !== e.r || t[1] !== e.g || t[2] !== e.b) && (i.uniform3f(this.addr, e.r, e.g, e.b), t[0] = e.r, t[1] = e.g, t[2] = e.b); + else { + if (ot(t, e)) return; + i.uniform3fv(this.addr, e), lt(t, e); + } +} +function vd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4f(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4fv(this.addr, e), lt(t, e); + } +} +function xd(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix2fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + La.set(n), i.uniformMatrix2fv(this.addr, !1, La), lt(t, n); + } +} +function Md(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix3fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + Ca.set(n), i.uniformMatrix3fv(this.addr, !1, Ca), lt(t, n); + } +} +function Sd(i, e) { + const t = this.cache, n = e.elements; + if (n === void 0) { + if (ot(t, e)) return; + i.uniformMatrix4fv(this.addr, !1, e), lt(t, e); + } else { + if (ot(t, n)) return; + Ra.set(n), i.uniformMatrix4fv(this.addr, !1, Ra), lt(t, n); + } +} +function Ed(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1i(this.addr, e), t[0] = e); +} +function yd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2i(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2iv(this.addr, e), lt(t, e); + } +} +function Td(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3i(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else { + if (ot(t, e)) return; + i.uniform3iv(this.addr, e), lt(t, e); + } +} +function bd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4i(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4iv(this.addr, e), lt(t, e); + } +} +function Ad(i, e) { + const t = this.cache; + t[0] !== e && (i.uniform1ui(this.addr, e), t[0] = e); +} +function wd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y) && (i.uniform2ui(this.addr, e.x, e.y), t[0] = e.x, t[1] = e.y); + else { + if (ot(t, e)) return; + i.uniform2uiv(this.addr, e), lt(t, e); + } +} +function Rd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z) && (i.uniform3ui(this.addr, e.x, e.y, e.z), t[0] = e.x, t[1] = e.y, t[2] = e.z); + else { + if (ot(t, e)) return; + i.uniform3uiv(this.addr, e), lt(t, e); + } +} +function Cd(i, e) { + const t = this.cache; + if (e.x !== void 0) + (t[0] !== e.x || t[1] !== e.y || t[2] !== e.z || t[3] !== e.w) && (i.uniform4ui(this.addr, e.x, e.y, e.z, e.w), t[0] = e.x, t[1] = e.y, t[2] = e.z, t[3] = e.w); + else { + if (ot(t, e)) return; + i.uniform4uiv(this.addr, e), lt(t, e); + } +} +function Ld(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r); + const s = this.type === i.SAMPLER_2D_SHADOW ? Fo : No; + t.setTexture2D(e || s, r); +} +function Pd(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTexture3D(e || Bo, r); +} +function Dd(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTextureCube(e || zo, r); +} +function Ud(i, e, t) { + const n = this.cache, r = t.allocateTextureUnit(); + n[0] !== r && (i.uniform1i(this.addr, r), n[0] = r), t.setTexture2DArray(e || Oo, r); +} +function Id(i) { + switch (i) { + case 5126: + return md; + case 35664: + return _d; + case 35665: + return gd; + case 35666: + return vd; + case 35674: + return xd; + case 35675: + return Md; + case 35676: + return Sd; + case 5124: + case 35670: + return Ed; + case 35667: + case 35671: + return yd; + case 35668: + case 35672: + return Td; + case 35669: + case 35673: + return bd; + case 5125: + return Ad; + case 36294: + return wd; + case 36295: + return Rd; + case 36296: + return Cd; + case 35678: + case 36198: + case 36298: + case 36306: + case 35682: + return Ld; + case 35679: + case 36299: + case 36307: + return Pd; + case 35680: + case 36300: + case 36308: + case 36293: + return Dd; + case 36289: + case 36303: + case 36311: + case 36292: + return Ud; + } +} +function Nd(i, e) { + i.uniform1fv(this.addr, e); +} +function Fd(i, e) { + const t = ri(e, this.size, 2); + i.uniform2fv(this.addr, t); +} +function Od(i, e) { + const t = ri(e, this.size, 3); + i.uniform3fv(this.addr, t); +} +function Bd(i, e) { + const t = ri(e, this.size, 4); + i.uniform4fv(this.addr, t); +} +function zd(i, e) { + const t = ri(e, this.size, 4); + i.uniformMatrix2fv(this.addr, !1, t); +} +function Gd(i, e) { + const t = ri(e, this.size, 9); + i.uniformMatrix3fv(this.addr, !1, t); +} +function Hd(i, e) { + const t = ri(e, this.size, 16); + i.uniformMatrix4fv(this.addr, !1, t); +} +function Vd(i, e) { + i.uniform1iv(this.addr, e); +} +function kd(i, e) { + i.uniform2iv(this.addr, e); +} +function Wd(i, e) { + i.uniform3iv(this.addr, e); +} +function Xd(i, e) { + i.uniform4iv(this.addr, e); +} +function qd(i, e) { + i.uniform1uiv(this.addr, e); +} +function Yd(i, e) { + i.uniform2uiv(this.addr, e); +} +function jd(i, e) { + i.uniform3uiv(this.addr, e); +} +function Kd(i, e) { + i.uniform4uiv(this.addr, e); +} +function Zd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture2D(e[o] || No, s[o]); +} +function $d(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture3D(e[o] || Bo, s[o]); +} +function Jd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTextureCube(e[o] || zo, s[o]); +} +function Qd(i, e, t) { + const n = this.cache, r = e.length, s = or(t, r); + ot(n, s) || (i.uniform1iv(this.addr, s), lt(n, s)); + for (let o = 0; o !== r; ++o) + t.setTexture2DArray(e[o] || Oo, s[o]); +} +function ef(i) { + switch (i) { + case 5126: + return Nd; + case 35664: + return Fd; + case 35665: + return Od; + case 35666: + return Bd; + case 35674: + return zd; + case 35675: + return Gd; + case 35676: + return Hd; + case 5124: + case 35670: + return Vd; + case 35667: + case 35671: + return kd; + case 35668: + case 35672: + return Wd; + case 35669: + case 35673: + return Xd; + case 5125: + return qd; + case 36294: + return Yd; + case 36295: + return jd; + case 36296: + return Kd; + case 35678: + case 36198: + case 36298: + case 36306: + case 35682: + return Zd; + case 35679: + case 36299: + case 36307: + return $d; + case 35680: + case 36300: + case 36308: + case 36293: + return Jd; + case 36289: + case 36303: + case 36311: + case 36292: + return Qd; + } +} +class tf { + constructor(e, t, n) { + this.id = e, this.addr = n, this.cache = [], this.type = t.type, this.setValue = Id(t.type); + } +} +class nf { + constructor(e, t, n) { + this.id = e, this.addr = n, this.cache = [], this.type = t.type, this.size = t.size, this.setValue = ef(t.type); + } +} +class rf { + constructor(e) { + this.id = e, this.seq = [], this.map = {}; + } + setValue(e, t, n) { + const r = this.seq; + for (let s = 0, o = r.length; s !== o; ++s) { + const a = r[s]; + a.setValue(e, t[a.id], n); + } + } +} +const Vr = /(\w+)(\])?(\[|\.)?/g; +function Pa(i, e) { + i.seq.push(e), i.map[e.id] = e; +} +function sf(i, e, t) { + const n = i.name, r = n.length; + for (Vr.lastIndex = 0; ; ) { + const s = Vr.exec(n), o = Vr.lastIndex; + let a = s[1]; + const l = s[2] === "]", c = s[3]; + if (l && (a = a | 0), c === void 0 || c === "[" && o + 2 === r) { + Pa(t, c === void 0 ? new tf(a, i, e) : new nf(a, i, e)); + break; + } else { + let d = t.map[a]; + d === void 0 && (d = new rf(a), Pa(t, d)), t = d; + } + } +} +class Zi { + constructor(e, t) { + this.seq = [], this.map = {}; + const n = e.getProgramParameter(t, e.ACTIVE_UNIFORMS); + for (let r = 0; r < n; ++r) { + const s = e.getActiveUniform(t, r), o = e.getUniformLocation(t, s.name); + sf(s, o, this); + } + } + setValue(e, t, n, r) { + const s = this.map[t]; + s !== void 0 && s.setValue(e, n, r); + } + setOptional(e, t, n) { + const r = t[n]; + r !== void 0 && this.setValue(e, n, r); + } + static upload(e, t, n, r) { + for (let s = 0, o = t.length; s !== o; ++s) { + const a = t[s], l = n[a.id]; + l.needsUpdate !== !1 && a.setValue(e, l.value, r); + } + } + static seqWithValue(e, t) { + const n = []; + for (let r = 0, s = e.length; r !== s; ++r) { + const o = e[r]; + o.id in t && n.push(o); + } + return n; + } +} +function Da(i, e, t) { + const n = i.createShader(e); + return i.shaderSource(n, t), i.compileShader(n), n; +} +const af = 37297; +let of = 0; +function lf(i, e) { + const t = i.split(` +`), n = [], r = Math.max(e - 6, 0), s = Math.min(e + 6, t.length); + for (let o = r; o < s; o++) { + const a = o + 1; + n.push(`${a === e ? ">" : " "} ${a}: ${t[o]}`); + } + return n.join(` +`); +} +function cf(i) { + const e = Ke.getPrimaries(Ke.workingColorSpace), t = Ke.getPrimaries(i); + let n; + switch (e === t ? n = "" : e === er && t === Qi ? n = "LinearDisplayP3ToLinearSRGB" : e === Qi && t === er && (n = "LinearSRGBToLinearDisplayP3"), i) { + case $t: + case sr: + return [n, "LinearTransferOETF"]; + case ht: + case os: + return [n, "sRGBTransferOETF"]; + default: + return console.warn("THREE.WebGLProgram: Unsupported color space:", i), [n, "LinearTransferOETF"]; + } +} +function Ua(i, e, t) { + const n = i.getShaderParameter(e, i.COMPILE_STATUS), r = i.getShaderInfoLog(e).trim(); + if (n && r === "") return ""; + const s = /ERROR: 0:(\d+)/.exec(r); + if (s) { + const o = parseInt(s[1]); + return t.toUpperCase() + ` + +` + r + ` + +` + lf(i.getShaderSource(e), o); + } else + return r; +} +function uf(i, e) { + const t = cf(e); + return `vec4 ${i}( vec4 value ) { return ${t[0]}( ${t[1]}( value ) ); }`; +} +function hf(i, e) { + let t; + switch (e) { + case Ml: + t = "Linear"; + break; + case Sl: + t = "Reinhard"; + break; + case El: + t = "OptimizedCineon"; + break; + case yl: + t = "ACESFilmic"; + break; + case bl: + t = "AgX"; + break; + case Tl: + t = "Custom"; + break; + default: + console.warn("THREE.WebGLProgram: Unsupported toneMapping:", e), t = "Linear"; + } + return "vec3 " + i + "( vec3 color ) { return " + t + "ToneMapping( color ); }"; +} +function df(i) { + return [ + i.extensionDerivatives || i.envMapCubeUVHeight || i.bumpMap || i.normalMapTangentSpace || i.clearcoatNormalMap || i.flatShading || i.shaderID === "physical" ? "#extension GL_OES_standard_derivatives : enable" : "", + (i.extensionFragDepth || i.logarithmicDepthBuffer) && i.rendererExtensionFragDepth ? "#extension GL_EXT_frag_depth : enable" : "", + i.extensionDrawBuffers && i.rendererExtensionDrawBuffers ? "#extension GL_EXT_draw_buffers : require" : "", + (i.extensionShaderTextureLOD || i.envMap || i.transmission) && i.rendererExtensionShaderTextureLod ? "#extension GL_EXT_shader_texture_lod : enable" : "" + ].filter(Zn).join(` +`); +} +function ff(i) { + return [ + i.extensionClipCullDistance ? "#extension GL_ANGLE_clip_cull_distance : require" : "" + ].filter(Zn).join(` +`); +} +function pf(i) { + const e = []; + for (const t in i) { + const n = i[t]; + n !== !1 && e.push("#define " + t + " " + n); + } + return e.join(` +`); +} +function mf(i, e) { + const t = {}, n = i.getProgramParameter(e, i.ACTIVE_ATTRIBUTES); + for (let r = 0; r < n; r++) { + const s = i.getActiveAttrib(e, r), o = s.name; + let a = 1; + s.type === i.FLOAT_MAT2 && (a = 2), s.type === i.FLOAT_MAT3 && (a = 3), s.type === i.FLOAT_MAT4 && (a = 4), t[o] = { + type: s.type, + location: i.getAttribLocation(e, o), + locationSize: a + }; + } + return t; +} +function Zn(i) { + return i !== ""; +} +function Ia(i, e) { + const t = e.numSpotLightShadows + e.numSpotLightMaps - e.numSpotLightShadowsWithMaps; + return i.replace(/NUM_DIR_LIGHTS/g, e.numDirLights).replace(/NUM_SPOT_LIGHTS/g, e.numSpotLights).replace(/NUM_SPOT_LIGHT_MAPS/g, e.numSpotLightMaps).replace(/NUM_SPOT_LIGHT_COORDS/g, t).replace(/NUM_RECT_AREA_LIGHTS/g, e.numRectAreaLights).replace(/NUM_POINT_LIGHTS/g, e.numPointLights).replace(/NUM_HEMI_LIGHTS/g, e.numHemiLights).replace(/NUM_DIR_LIGHT_SHADOWS/g, e.numDirLightShadows).replace(/NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g, e.numSpotLightShadowsWithMaps).replace(/NUM_SPOT_LIGHT_SHADOWS/g, e.numSpotLightShadows).replace(/NUM_POINT_LIGHT_SHADOWS/g, e.numPointLightShadows); +} +function Na(i, e) { + return i.replace(/NUM_CLIPPING_PLANES/g, e.numClippingPlanes).replace(/UNION_CLIPPING_PLANES/g, e.numClippingPlanes - e.numClipIntersection); +} +const _f = /^[ \t]*#include +<([\w\d./]+)>/gm; +function rs(i) { + return i.replace(_f, vf); +} +const gf = /* @__PURE__ */ new Map([ + ["encodings_fragment", "colorspace_fragment"], + // @deprecated, r154 + ["encodings_pars_fragment", "colorspace_pars_fragment"], + // @deprecated, r154 + ["output_fragment", "opaque_fragment"] + // @deprecated, r154 +]); +function vf(i, e) { + let t = Be[e]; + if (t === void 0) { + const n = gf.get(e); + if (n !== void 0) + t = Be[n], console.warn('THREE.WebGLRenderer: Shader chunk "%s" has been deprecated. Use "%s" instead.', e, n); + else + throw new Error("Can not resolve #include <" + e + ">"); + } + return rs(t); +} +const xf = /#pragma unroll_loop_start\s+for\s*\(\s*int\s+i\s*=\s*(\d+)\s*;\s*i\s*<\s*(\d+)\s*;\s*i\s*\+\+\s*\)\s*{([\s\S]+?)}\s+#pragma unroll_loop_end/g; +function Fa(i) { + return i.replace(xf, Mf); +} +function Mf(i, e, t, n) { + let r = ""; + for (let s = parseInt(e); s < parseInt(t); s++) + r += n.replace(/\[\s*i\s*\]/g, "[ " + s + " ]").replace(/UNROLLED_LOOP_INDEX/g, s); + return r; +} +function Oa(i) { + let e = "precision " + i.precision + ` float; +precision ` + i.precision + " int;"; + return i.precision === "highp" ? e += ` +#define HIGH_PRECISION` : i.precision === "mediump" ? e += ` +#define MEDIUM_PRECISION` : i.precision === "lowp" && (e += ` +#define LOW_PRECISION`), e; +} +function Sf(i) { + let e = "SHADOWMAP_TYPE_BASIC"; + return i.shadowMapType === so ? e = "SHADOWMAP_TYPE_PCF" : i.shadowMapType === ao ? e = "SHADOWMAP_TYPE_PCF_SOFT" : i.shadowMapType === jt && (e = "SHADOWMAP_TYPE_VSM"), e; +} +function Ef(i) { + let e = "ENVMAP_TYPE_CUBE"; + if (i.envMap) + switch (i.envMapMode) { + case Qn: + case ei: + e = "ENVMAP_TYPE_CUBE"; + break; + case rr: + e = "ENVMAP_TYPE_CUBE_UV"; + break; + } + return e; +} +function yf(i) { + let e = "ENVMAP_MODE_REFLECTION"; + if (i.envMap) + switch (i.envMapMode) { + case ei: + e = "ENVMAP_MODE_REFRACTION"; + break; + } + return e; +} +function Tf(i) { + let e = "ENVMAP_BLENDING_NONE"; + if (i.envMap) + switch (i.combine) { + case oo: + e = "ENVMAP_BLENDING_MULTIPLY"; + break; + case vl: + e = "ENVMAP_BLENDING_MIX"; + break; + case xl: + e = "ENVMAP_BLENDING_ADD"; + break; + } + return e; +} +function bf(i) { + const e = i.envMapCubeUVHeight; + if (e === null) return null; + const t = Math.log2(e) - 2, n = 1 / e; + return { texelWidth: 1 / (3 * Math.max(Math.pow(2, t), 7 * 16)), texelHeight: n, maxMip: t }; +} +function Af(i, e, t, n) { + const r = i.getContext(), s = t.defines; + let o = t.vertexShader, a = t.fragmentShader; + const l = Sf(t), c = Ef(t), h = yf(t), d = Tf(t), p = bf(t), m = t.isWebGL2 ? "" : df(t), g = ff(t), v = pf(s), f = r.createProgram(); + let u, b, S = t.glslVersion ? "#version " + t.glslVersion + ` +` : ""; + t.isRawShaderMaterial ? (u = [ + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v + ].filter(Zn).join(` +`), u.length > 0 && (u += ` +`), b = [ + m, + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v + ].filter(Zn).join(` +`), b.length > 0 && (b += ` +`)) : (u = [ + Oa(t), + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v, + t.extensionClipCullDistance ? "#define USE_CLIP_DISTANCE" : "", + t.batching ? "#define USE_BATCHING" : "", + t.instancing ? "#define USE_INSTANCING" : "", + t.instancingColor ? "#define USE_INSTANCING_COLOR" : "", + t.useFog && t.fog ? "#define USE_FOG" : "", + t.useFog && t.fogExp2 ? "#define FOG_EXP2" : "", + t.map ? "#define USE_MAP" : "", + t.envMap ? "#define USE_ENVMAP" : "", + t.envMap ? "#define " + h : "", + t.lightMap ? "#define USE_LIGHTMAP" : "", + t.aoMap ? "#define USE_AOMAP" : "", + t.bumpMap ? "#define USE_BUMPMAP" : "", + t.normalMap ? "#define USE_NORMALMAP" : "", + t.normalMapObjectSpace ? "#define USE_NORMALMAP_OBJECTSPACE" : "", + t.normalMapTangentSpace ? "#define USE_NORMALMAP_TANGENTSPACE" : "", + t.displacementMap ? "#define USE_DISPLACEMENTMAP" : "", + t.emissiveMap ? "#define USE_EMISSIVEMAP" : "", + t.anisotropy ? "#define USE_ANISOTROPY" : "", + t.anisotropyMap ? "#define USE_ANISOTROPYMAP" : "", + t.clearcoatMap ? "#define USE_CLEARCOATMAP" : "", + t.clearcoatRoughnessMap ? "#define USE_CLEARCOAT_ROUGHNESSMAP" : "", + t.clearcoatNormalMap ? "#define USE_CLEARCOAT_NORMALMAP" : "", + t.iridescenceMap ? "#define USE_IRIDESCENCEMAP" : "", + t.iridescenceThicknessMap ? "#define USE_IRIDESCENCE_THICKNESSMAP" : "", + t.specularMap ? "#define USE_SPECULARMAP" : "", + t.specularColorMap ? "#define USE_SPECULAR_COLORMAP" : "", + t.specularIntensityMap ? "#define USE_SPECULAR_INTENSITYMAP" : "", + t.roughnessMap ? "#define USE_ROUGHNESSMAP" : "", + t.metalnessMap ? "#define USE_METALNESSMAP" : "", + t.alphaMap ? "#define USE_ALPHAMAP" : "", + t.alphaHash ? "#define USE_ALPHAHASH" : "", + t.transmission ? "#define USE_TRANSMISSION" : "", + t.transmissionMap ? "#define USE_TRANSMISSIONMAP" : "", + t.thicknessMap ? "#define USE_THICKNESSMAP" : "", + t.sheenColorMap ? "#define USE_SHEEN_COLORMAP" : "", + t.sheenRoughnessMap ? "#define USE_SHEEN_ROUGHNESSMAP" : "", + // + t.mapUv ? "#define MAP_UV " + t.mapUv : "", + t.alphaMapUv ? "#define ALPHAMAP_UV " + t.alphaMapUv : "", + t.lightMapUv ? "#define LIGHTMAP_UV " + t.lightMapUv : "", + t.aoMapUv ? "#define AOMAP_UV " + t.aoMapUv : "", + t.emissiveMapUv ? "#define EMISSIVEMAP_UV " + t.emissiveMapUv : "", + t.bumpMapUv ? "#define BUMPMAP_UV " + t.bumpMapUv : "", + t.normalMapUv ? "#define NORMALMAP_UV " + t.normalMapUv : "", + t.displacementMapUv ? "#define DISPLACEMENTMAP_UV " + t.displacementMapUv : "", + t.metalnessMapUv ? "#define METALNESSMAP_UV " + t.metalnessMapUv : "", + t.roughnessMapUv ? "#define ROUGHNESSMAP_UV " + t.roughnessMapUv : "", + t.anisotropyMapUv ? "#define ANISOTROPYMAP_UV " + t.anisotropyMapUv : "", + t.clearcoatMapUv ? "#define CLEARCOATMAP_UV " + t.clearcoatMapUv : "", + t.clearcoatNormalMapUv ? "#define CLEARCOAT_NORMALMAP_UV " + t.clearcoatNormalMapUv : "", + t.clearcoatRoughnessMapUv ? "#define CLEARCOAT_ROUGHNESSMAP_UV " + t.clearcoatRoughnessMapUv : "", + t.iridescenceMapUv ? "#define IRIDESCENCEMAP_UV " + t.iridescenceMapUv : "", + t.iridescenceThicknessMapUv ? "#define IRIDESCENCE_THICKNESSMAP_UV " + t.iridescenceThicknessMapUv : "", + t.sheenColorMapUv ? "#define SHEEN_COLORMAP_UV " + t.sheenColorMapUv : "", + t.sheenRoughnessMapUv ? "#define SHEEN_ROUGHNESSMAP_UV " + t.sheenRoughnessMapUv : "", + t.specularMapUv ? "#define SPECULARMAP_UV " + t.specularMapUv : "", + t.specularColorMapUv ? "#define SPECULAR_COLORMAP_UV " + t.specularColorMapUv : "", + t.specularIntensityMapUv ? "#define SPECULAR_INTENSITYMAP_UV " + t.specularIntensityMapUv : "", + t.transmissionMapUv ? "#define TRANSMISSIONMAP_UV " + t.transmissionMapUv : "", + t.thicknessMapUv ? "#define THICKNESSMAP_UV " + t.thicknessMapUv : "", + // + t.vertexTangents && t.flatShading === !1 ? "#define USE_TANGENT" : "", + t.vertexColors ? "#define USE_COLOR" : "", + t.vertexAlphas ? "#define USE_COLOR_ALPHA" : "", + t.vertexUv1s ? "#define USE_UV1" : "", + t.vertexUv2s ? "#define USE_UV2" : "", + t.vertexUv3s ? "#define USE_UV3" : "", + t.pointsUvs ? "#define USE_POINTS_UV" : "", + t.flatShading ? "#define FLAT_SHADED" : "", + t.skinning ? "#define USE_SKINNING" : "", + t.morphTargets ? "#define USE_MORPHTARGETS" : "", + t.morphNormals && t.flatShading === !1 ? "#define USE_MORPHNORMALS" : "", + t.morphColors && t.isWebGL2 ? "#define USE_MORPHCOLORS" : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_TEXTURE" : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_TEXTURE_STRIDE " + t.morphTextureStride : "", + t.morphTargetsCount > 0 && t.isWebGL2 ? "#define MORPHTARGETS_COUNT " + t.morphTargetsCount : "", + t.doubleSided ? "#define DOUBLE_SIDED" : "", + t.flipSided ? "#define FLIP_SIDED" : "", + t.shadowMapEnabled ? "#define USE_SHADOWMAP" : "", + t.shadowMapEnabled ? "#define " + l : "", + t.sizeAttenuation ? "#define USE_SIZEATTENUATION" : "", + t.numLightProbes > 0 ? "#define USE_LIGHT_PROBES" : "", + t.useLegacyLights ? "#define LEGACY_LIGHTS" : "", + t.logarithmicDepthBuffer ? "#define USE_LOGDEPTHBUF" : "", + t.logarithmicDepthBuffer && t.rendererExtensionFragDepth ? "#define USE_LOGDEPTHBUF_EXT" : "", + "uniform mat4 modelMatrix;", + "uniform mat4 modelViewMatrix;", + "uniform mat4 projectionMatrix;", + "uniform mat4 viewMatrix;", + "uniform mat3 normalMatrix;", + "uniform vec3 cameraPosition;", + "uniform bool isOrthographic;", + "#ifdef USE_INSTANCING", + " attribute mat4 instanceMatrix;", + "#endif", + "#ifdef USE_INSTANCING_COLOR", + " attribute vec3 instanceColor;", + "#endif", + "attribute vec3 position;", + "attribute vec3 normal;", + "attribute vec2 uv;", + "#ifdef USE_UV1", + " attribute vec2 uv1;", + "#endif", + "#ifdef USE_UV2", + " attribute vec2 uv2;", + "#endif", + "#ifdef USE_UV3", + " attribute vec2 uv3;", + "#endif", + "#ifdef USE_TANGENT", + " attribute vec4 tangent;", + "#endif", + "#if defined( USE_COLOR_ALPHA )", + " attribute vec4 color;", + "#elif defined( USE_COLOR )", + " attribute vec3 color;", + "#endif", + "#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )", + " attribute vec3 morphTarget0;", + " attribute vec3 morphTarget1;", + " attribute vec3 morphTarget2;", + " attribute vec3 morphTarget3;", + " #ifdef USE_MORPHNORMALS", + " attribute vec3 morphNormal0;", + " attribute vec3 morphNormal1;", + " attribute vec3 morphNormal2;", + " attribute vec3 morphNormal3;", + " #else", + " attribute vec3 morphTarget4;", + " attribute vec3 morphTarget5;", + " attribute vec3 morphTarget6;", + " attribute vec3 morphTarget7;", + " #endif", + "#endif", + "#ifdef USE_SKINNING", + " attribute vec4 skinIndex;", + " attribute vec4 skinWeight;", + "#endif", + ` +` + ].filter(Zn).join(` +`), b = [ + m, + Oa(t), + "#define SHADER_TYPE " + t.shaderType, + "#define SHADER_NAME " + t.shaderName, + v, + t.useFog && t.fog ? "#define USE_FOG" : "", + t.useFog && t.fogExp2 ? "#define FOG_EXP2" : "", + t.map ? "#define USE_MAP" : "", + t.matcap ? "#define USE_MATCAP" : "", + t.envMap ? "#define USE_ENVMAP" : "", + t.envMap ? "#define " + c : "", + t.envMap ? "#define " + h : "", + t.envMap ? "#define " + d : "", + p ? "#define CUBEUV_TEXEL_WIDTH " + p.texelWidth : "", + p ? "#define CUBEUV_TEXEL_HEIGHT " + p.texelHeight : "", + p ? "#define CUBEUV_MAX_MIP " + p.maxMip + ".0" : "", + t.lightMap ? "#define USE_LIGHTMAP" : "", + t.aoMap ? "#define USE_AOMAP" : "", + t.bumpMap ? "#define USE_BUMPMAP" : "", + t.normalMap ? "#define USE_NORMALMAP" : "", + t.normalMapObjectSpace ? "#define USE_NORMALMAP_OBJECTSPACE" : "", + t.normalMapTangentSpace ? "#define USE_NORMALMAP_TANGENTSPACE" : "", + t.emissiveMap ? "#define USE_EMISSIVEMAP" : "", + t.anisotropy ? "#define USE_ANISOTROPY" : "", + t.anisotropyMap ? "#define USE_ANISOTROPYMAP" : "", + t.clearcoat ? "#define USE_CLEARCOAT" : "", + t.clearcoatMap ? "#define USE_CLEARCOATMAP" : "", + t.clearcoatRoughnessMap ? "#define USE_CLEARCOAT_ROUGHNESSMAP" : "", + t.clearcoatNormalMap ? "#define USE_CLEARCOAT_NORMALMAP" : "", + t.iridescence ? "#define USE_IRIDESCENCE" : "", + t.iridescenceMap ? "#define USE_IRIDESCENCEMAP" : "", + t.iridescenceThicknessMap ? "#define USE_IRIDESCENCE_THICKNESSMAP" : "", + t.specularMap ? "#define USE_SPECULARMAP" : "", + t.specularColorMap ? "#define USE_SPECULAR_COLORMAP" : "", + t.specularIntensityMap ? "#define USE_SPECULAR_INTENSITYMAP" : "", + t.roughnessMap ? "#define USE_ROUGHNESSMAP" : "", + t.metalnessMap ? "#define USE_METALNESSMAP" : "", + t.alphaMap ? "#define USE_ALPHAMAP" : "", + t.alphaTest ? "#define USE_ALPHATEST" : "", + t.alphaHash ? "#define USE_ALPHAHASH" : "", + t.sheen ? "#define USE_SHEEN" : "", + t.sheenColorMap ? "#define USE_SHEEN_COLORMAP" : "", + t.sheenRoughnessMap ? "#define USE_SHEEN_ROUGHNESSMAP" : "", + t.transmission ? "#define USE_TRANSMISSION" : "", + t.transmissionMap ? "#define USE_TRANSMISSIONMAP" : "", + t.thicknessMap ? "#define USE_THICKNESSMAP" : "", + t.vertexTangents && t.flatShading === !1 ? "#define USE_TANGENT" : "", + t.vertexColors || t.instancingColor ? "#define USE_COLOR" : "", + t.vertexAlphas ? "#define USE_COLOR_ALPHA" : "", + t.vertexUv1s ? "#define USE_UV1" : "", + t.vertexUv2s ? "#define USE_UV2" : "", + t.vertexUv3s ? "#define USE_UV3" : "", + t.pointsUvs ? "#define USE_POINTS_UV" : "", + t.gradientMap ? "#define USE_GRADIENTMAP" : "", + t.flatShading ? "#define FLAT_SHADED" : "", + t.doubleSided ? "#define DOUBLE_SIDED" : "", + t.flipSided ? "#define FLIP_SIDED" : "", + t.shadowMapEnabled ? "#define USE_SHADOWMAP" : "", + t.shadowMapEnabled ? "#define " + l : "", + t.premultipliedAlpha ? "#define PREMULTIPLIED_ALPHA" : "", + t.numLightProbes > 0 ? "#define USE_LIGHT_PROBES" : "", + t.useLegacyLights ? "#define LEGACY_LIGHTS" : "", + t.decodeVideoTexture ? "#define DECODE_VIDEO_TEXTURE" : "", + t.logarithmicDepthBuffer ? "#define USE_LOGDEPTHBUF" : "", + t.logarithmicDepthBuffer && t.rendererExtensionFragDepth ? "#define USE_LOGDEPTHBUF_EXT" : "", + "uniform mat4 viewMatrix;", + "uniform vec3 cameraPosition;", + "uniform bool isOrthographic;", + t.toneMapping !== ln ? "#define TONE_MAPPING" : "", + t.toneMapping !== ln ? Be.tonemapping_pars_fragment : "", + // this code is required here because it is used by the toneMapping() function defined below + t.toneMapping !== ln ? hf("toneMapping", t.toneMapping) : "", + t.dithering ? "#define DITHERING" : "", + t.opaque ? "#define OPAQUE" : "", + Be.colorspace_pars_fragment, + // this code is required here because it is used by the various encoding/decoding function defined below + uf("linearToOutputTexel", t.outputColorSpace), + t.useDepthPacking ? "#define DEPTH_PACKING " + t.depthPacking : "", + ` +` + ].filter(Zn).join(` +`)), o = rs(o), o = Ia(o, t), o = Na(o, t), a = rs(a), a = Ia(a, t), a = Na(a, t), o = Fa(o), a = Fa(a), t.isWebGL2 && t.isRawShaderMaterial !== !0 && (S = `#version 300 es +`, u = [ + g, + "precision mediump sampler2DArray;", + "#define attribute in", + "#define varying out", + "#define texture2D texture" + ].join(` +`) + ` +` + u, b = [ + "precision mediump sampler2DArray;", + "#define varying in", + t.glslVersion === ta ? "" : "layout(location = 0) out highp vec4 pc_fragColor;", + t.glslVersion === ta ? "" : "#define gl_FragColor pc_fragColor", + "#define gl_FragDepthEXT gl_FragDepth", + "#define texture2D texture", + "#define textureCube texture", + "#define texture2DProj textureProj", + "#define texture2DLodEXT textureLod", + "#define texture2DProjLodEXT textureProjLod", + "#define textureCubeLodEXT textureLod", + "#define texture2DGradEXT textureGrad", + "#define texture2DProjGradEXT textureProjGrad", + "#define textureCubeGradEXT textureGrad" + ].join(` +`) + ` +` + b); + const R = S + u + o, D = S + b + a, C = Da(r, r.VERTEX_SHADER, R), A = Da(r, r.FRAGMENT_SHADER, D); + r.attachShader(f, C), r.attachShader(f, A), t.index0AttributeName !== void 0 ? r.bindAttribLocation(f, 0, t.index0AttributeName) : t.morphTargets === !0 && r.bindAttribLocation(f, 0, "position"), r.linkProgram(f); + function W(Z) { + if (i.debug.checkShaderErrors) { + const re = r.getProgramInfoLog(f).trim(), L = r.getShaderInfoLog(C).trim(), F = r.getShaderInfoLog(A).trim(); + let V = !0, Y = !0; + if (r.getProgramParameter(f, r.LINK_STATUS) === !1) + if (V = !1, typeof i.debug.onShaderError == "function") + i.debug.onShaderError(r, f, C, A); + else { + const X = Ua(r, C, "vertex"), k = Ua(r, A, "fragment"); + console.error( + "THREE.WebGLProgram: Shader Error " + r.getError() + " - VALIDATE_STATUS " + r.getProgramParameter(f, r.VALIDATE_STATUS) + ` + +Program Info Log: ` + re + ` +` + X + ` +` + k + ); + } + else re !== "" ? console.warn("THREE.WebGLProgram: Program Info Log:", re) : (L === "" || F === "") && (Y = !1); + Y && (Z.diagnostics = { + runnable: V, + programLog: re, + vertexShader: { + log: L, + prefix: u + }, + fragmentShader: { + log: F, + prefix: b + } + }); + } + r.deleteShader(C), r.deleteShader(A), x = new Zi(r, f), y = mf(r, f); + } + let x; + this.getUniforms = function() { + return x === void 0 && W(this), x; + }; + let y; + this.getAttributes = function() { + return y === void 0 && W(this), y; + }; + let z = t.rendererExtensionParallelShaderCompile === !1; + return this.isReady = function() { + return z === !1 && (z = r.getProgramParameter(f, af)), z; + }, this.destroy = function() { + n.releaseStatesOfProgram(this), r.deleteProgram(f), this.program = void 0; + }, this.type = t.shaderType, this.name = t.shaderName, this.id = of++, this.cacheKey = e, this.usedTimes = 1, this.program = f, this.vertexShader = C, this.fragmentShader = A, this; +} +let wf = 0; +class Rf { + constructor() { + this.shaderCache = /* @__PURE__ */ new Map(), this.materialCache = /* @__PURE__ */ new Map(); + } + update(e) { + const t = e.vertexShader, n = e.fragmentShader, r = this._getShaderStage(t), s = this._getShaderStage(n), o = this._getShaderCacheForMaterial(e); + return o.has(r) === !1 && (o.add(r), r.usedTimes++), o.has(s) === !1 && (o.add(s), s.usedTimes++), this; + } + remove(e) { + const t = this.materialCache.get(e); + for (const n of t) + n.usedTimes--, n.usedTimes === 0 && this.shaderCache.delete(n.code); + return this.materialCache.delete(e), this; + } + getVertexShaderID(e) { + return this._getShaderStage(e.vertexShader).id; + } + getFragmentShaderID(e) { + return this._getShaderStage(e.fragmentShader).id; + } + dispose() { + this.shaderCache.clear(), this.materialCache.clear(); + } + _getShaderCacheForMaterial(e) { + const t = this.materialCache; + let n = t.get(e); + return n === void 0 && (n = /* @__PURE__ */ new Set(), t.set(e, n)), n; + } + _getShaderStage(e) { + const t = this.shaderCache; + let n = t.get(e); + return n === void 0 && (n = new Cf(e), t.set(e, n)), n; + } +} +class Cf { + constructor(e) { + this.id = wf++, this.code = e, this.usedTimes = 0; + } +} +function Lf(i, e, t, n, r, s, o) { + const a = new bo(), l = new Rf(), c = [], h = r.isWebGL2, d = r.logarithmicDepthBuffer, p = r.vertexTextures; + let m = r.precision; + const g = { + MeshDepthMaterial: "depth", + MeshDistanceMaterial: "distanceRGBA", + MeshNormalMaterial: "normal", + MeshBasicMaterial: "basic", + MeshLambertMaterial: "lambert", + MeshPhongMaterial: "phong", + MeshToonMaterial: "toon", + MeshStandardMaterial: "physical", + MeshPhysicalMaterial: "physical", + MeshMatcapMaterial: "matcap", + LineBasicMaterial: "basic", + LineDashedMaterial: "dashed", + PointsMaterial: "points", + ShadowMaterial: "shadow", + SpriteMaterial: "sprite" + }; + function v(x) { + return x === 0 ? "uv" : `uv${x}`; + } + function f(x, y, z, Z, re) { + const L = Z.fog, F = re.geometry, V = x.isMeshStandardMaterial ? Z.environment : null, Y = (x.isMeshStandardMaterial ? t : e).get(x.envMap || V), X = Y && Y.mapping === rr ? Y.image.height : null, k = g[x.type]; + x.precision !== null && (m = r.getMaxPrecision(x.precision), m !== x.precision && console.warn("THREE.WebGLProgram.getParameters:", x.precision, "not supported, using", m, "instead.")); + const q = F.morphAttributes.position || F.morphAttributes.normal || F.morphAttributes.color, Q = q !== void 0 ? q.length : 0; + let ce = 0; + F.morphAttributes.position !== void 0 && (ce = 1), F.morphAttributes.normal !== void 0 && (ce = 2), F.morphAttributes.color !== void 0 && (ce = 3); + let H, j, oe, ve; + if (k) { + const nt = Gt[k]; + H = nt.vertexShader, j = nt.fragmentShader; + } else + H = x.vertexShader, j = x.fragmentShader, l.update(x), oe = l.getVertexShaderID(x), ve = l.getFragmentShaderID(x); + const _e = i.getRenderTarget(), we = re.isInstancedMesh === !0, Ae = re.isBatchedMesh === !0, ge = !!x.map, Pe = !!x.matcap, N = !!Y, rt = !!x.aoMap, Me = !!x.lightMap, Re = !!x.bumpMap, pe = !!x.normalMap, je = !!x.displacementMap, be = !!x.emissiveMap, M = !!x.metalnessMap, _ = !!x.roughnessMap, I = x.anisotropy > 0, $ = x.clearcoat > 0, K = x.iridescence > 0, J = x.sheen > 0, me = x.transmission > 0, ae = I && !!x.anisotropyMap, he = $ && !!x.clearcoatMap, ye = $ && !!x.clearcoatNormalMap, Fe = $ && !!x.clearcoatRoughnessMap, ee = K && !!x.iridescenceMap, Ye = K && !!x.iridescenceThicknessMap, ze = J && !!x.sheenColorMap, De = J && !!x.sheenRoughnessMap, Ee = !!x.specularMap, ue = !!x.specularColorMap, T = !!x.specularIntensityMap, ne = me && !!x.transmissionMap, xe = me && !!x.thicknessMap, fe = !!x.gradientMap, te = !!x.alphaMap, w = x.alphaTest > 0, ie = !!x.alphaHash, le = !!x.extensions, Ce = !!F.attributes.uv1, Te = !!F.attributes.uv2, ke = !!F.attributes.uv3; + let We = ln; + return x.toneMapped && (_e === null || _e.isXRRenderTarget === !0) && (We = i.toneMapping), { + isWebGL2: h, + shaderID: k, + shaderType: x.type, + shaderName: x.name, + vertexShader: H, + fragmentShader: j, + defines: x.defines, + customVertexShaderID: oe, + customFragmentShaderID: ve, + isRawShaderMaterial: x.isRawShaderMaterial === !0, + glslVersion: x.glslVersion, + precision: m, + batching: Ae, + instancing: we, + instancingColor: we && re.instanceColor !== null, + supportsVertexTextures: p, + outputColorSpace: _e === null ? i.outputColorSpace : _e.isXRRenderTarget === !0 ? _e.texture.colorSpace : $t, + map: ge, + matcap: Pe, + envMap: N, + envMapMode: N && Y.mapping, + envMapCubeUVHeight: X, + aoMap: rt, + lightMap: Me, + bumpMap: Re, + normalMap: pe, + displacementMap: p && je, + emissiveMap: be, + normalMapObjectSpace: pe && x.normalMapType === Ol, + normalMapTangentSpace: pe && x.normalMapType === vo, + metalnessMap: M, + roughnessMap: _, + anisotropy: I, + anisotropyMap: ae, + clearcoat: $, + clearcoatMap: he, + clearcoatNormalMap: ye, + clearcoatRoughnessMap: Fe, + iridescence: K, + iridescenceMap: ee, + iridescenceThicknessMap: Ye, + sheen: J, + sheenColorMap: ze, + sheenRoughnessMap: De, + specularMap: Ee, + specularColorMap: ue, + specularIntensityMap: T, + transmission: me, + transmissionMap: ne, + thicknessMap: xe, + gradientMap: fe, + opaque: x.transparent === !1 && x.blending === $n, + alphaMap: te, + alphaTest: w, + alphaHash: ie, + combine: x.combine, + // + mapUv: ge && v(x.map.channel), + aoMapUv: rt && v(x.aoMap.channel), + lightMapUv: Me && v(x.lightMap.channel), + bumpMapUv: Re && v(x.bumpMap.channel), + normalMapUv: pe && v(x.normalMap.channel), + displacementMapUv: je && v(x.displacementMap.channel), + emissiveMapUv: be && v(x.emissiveMap.channel), + metalnessMapUv: M && v(x.metalnessMap.channel), + roughnessMapUv: _ && v(x.roughnessMap.channel), + anisotropyMapUv: ae && v(x.anisotropyMap.channel), + clearcoatMapUv: he && v(x.clearcoatMap.channel), + clearcoatNormalMapUv: ye && v(x.clearcoatNormalMap.channel), + clearcoatRoughnessMapUv: Fe && v(x.clearcoatRoughnessMap.channel), + iridescenceMapUv: ee && v(x.iridescenceMap.channel), + iridescenceThicknessMapUv: Ye && v(x.iridescenceThicknessMap.channel), + sheenColorMapUv: ze && v(x.sheenColorMap.channel), + sheenRoughnessMapUv: De && v(x.sheenRoughnessMap.channel), + specularMapUv: Ee && v(x.specularMap.channel), + specularColorMapUv: ue && v(x.specularColorMap.channel), + specularIntensityMapUv: T && v(x.specularIntensityMap.channel), + transmissionMapUv: ne && v(x.transmissionMap.channel), + thicknessMapUv: xe && v(x.thicknessMap.channel), + alphaMapUv: te && v(x.alphaMap.channel), + // + vertexTangents: !!F.attributes.tangent && (pe || I), + vertexColors: x.vertexColors, + vertexAlphas: x.vertexColors === !0 && !!F.attributes.color && F.attributes.color.itemSize === 4, + vertexUv1s: Ce, + vertexUv2s: Te, + vertexUv3s: ke, + pointsUvs: re.isPoints === !0 && !!F.attributes.uv && (ge || te), + fog: !!L, + useFog: x.fog === !0, + fogExp2: L && L.isFogExp2, + flatShading: x.flatShading === !0, + sizeAttenuation: x.sizeAttenuation === !0, + logarithmicDepthBuffer: d, + skinning: re.isSkinnedMesh === !0, + morphTargets: F.morphAttributes.position !== void 0, + morphNormals: F.morphAttributes.normal !== void 0, + morphColors: F.morphAttributes.color !== void 0, + morphTargetsCount: Q, + morphTextureStride: ce, + numDirLights: y.directional.length, + numPointLights: y.point.length, + numSpotLights: y.spot.length, + numSpotLightMaps: y.spotLightMap.length, + numRectAreaLights: y.rectArea.length, + numHemiLights: y.hemi.length, + numDirLightShadows: y.directionalShadowMap.length, + numPointLightShadows: y.pointShadowMap.length, + numSpotLightShadows: y.spotShadowMap.length, + numSpotLightShadowsWithMaps: y.numSpotLightShadowsWithMaps, + numLightProbes: y.numLightProbes, + numClippingPlanes: o.numPlanes, + numClipIntersection: o.numIntersection, + dithering: x.dithering, + shadowMapEnabled: i.shadowMap.enabled && z.length > 0, + shadowMapType: i.shadowMap.type, + toneMapping: We, + useLegacyLights: i._useLegacyLights, + decodeVideoTexture: ge && x.map.isVideoTexture === !0 && Ke.getTransfer(x.map.colorSpace) === Ze, + premultipliedAlpha: x.premultipliedAlpha, + doubleSided: x.side === Kt, + flipSided: x.side === Mt, + useDepthPacking: x.depthPacking >= 0, + depthPacking: x.depthPacking || 0, + index0AttributeName: x.index0AttributeName, + extensionDerivatives: le && x.extensions.derivatives === !0, + extensionFragDepth: le && x.extensions.fragDepth === !0, + extensionDrawBuffers: le && x.extensions.drawBuffers === !0, + extensionShaderTextureLOD: le && x.extensions.shaderTextureLOD === !0, + extensionClipCullDistance: le && x.extensions.clipCullDistance && n.has("WEBGL_clip_cull_distance"), + rendererExtensionFragDepth: h || n.has("EXT_frag_depth"), + rendererExtensionDrawBuffers: h || n.has("WEBGL_draw_buffers"), + rendererExtensionShaderTextureLod: h || n.has("EXT_shader_texture_lod"), + rendererExtensionParallelShaderCompile: n.has("KHR_parallel_shader_compile"), + customProgramCacheKey: x.customProgramCacheKey() + }; + } + function u(x) { + const y = []; + if (x.shaderID ? y.push(x.shaderID) : (y.push(x.customVertexShaderID), y.push(x.customFragmentShaderID)), x.defines !== void 0) + for (const z in x.defines) + y.push(z), y.push(x.defines[z]); + return x.isRawShaderMaterial === !1 && (b(y, x), S(y, x), y.push(i.outputColorSpace)), y.push(x.customProgramCacheKey), y.join(); + } + function b(x, y) { + x.push(y.precision), x.push(y.outputColorSpace), x.push(y.envMapMode), x.push(y.envMapCubeUVHeight), x.push(y.mapUv), x.push(y.alphaMapUv), x.push(y.lightMapUv), x.push(y.aoMapUv), x.push(y.bumpMapUv), x.push(y.normalMapUv), x.push(y.displacementMapUv), x.push(y.emissiveMapUv), x.push(y.metalnessMapUv), x.push(y.roughnessMapUv), x.push(y.anisotropyMapUv), x.push(y.clearcoatMapUv), x.push(y.clearcoatNormalMapUv), x.push(y.clearcoatRoughnessMapUv), x.push(y.iridescenceMapUv), x.push(y.iridescenceThicknessMapUv), x.push(y.sheenColorMapUv), x.push(y.sheenRoughnessMapUv), x.push(y.specularMapUv), x.push(y.specularColorMapUv), x.push(y.specularIntensityMapUv), x.push(y.transmissionMapUv), x.push(y.thicknessMapUv), x.push(y.combine), x.push(y.fogExp2), x.push(y.sizeAttenuation), x.push(y.morphTargetsCount), x.push(y.morphAttributeCount), x.push(y.numDirLights), x.push(y.numPointLights), x.push(y.numSpotLights), x.push(y.numSpotLightMaps), x.push(y.numHemiLights), x.push(y.numRectAreaLights), x.push(y.numDirLightShadows), x.push(y.numPointLightShadows), x.push(y.numSpotLightShadows), x.push(y.numSpotLightShadowsWithMaps), x.push(y.numLightProbes), x.push(y.shadowMapType), x.push(y.toneMapping), x.push(y.numClippingPlanes), x.push(y.numClipIntersection), x.push(y.depthPacking); + } + function S(x, y) { + a.disableAll(), y.isWebGL2 && a.enable(0), y.supportsVertexTextures && a.enable(1), y.instancing && a.enable(2), y.instancingColor && a.enable(3), y.matcap && a.enable(4), y.envMap && a.enable(5), y.normalMapObjectSpace && a.enable(6), y.normalMapTangentSpace && a.enable(7), y.clearcoat && a.enable(8), y.iridescence && a.enable(9), y.alphaTest && a.enable(10), y.vertexColors && a.enable(11), y.vertexAlphas && a.enable(12), y.vertexUv1s && a.enable(13), y.vertexUv2s && a.enable(14), y.vertexUv3s && a.enable(15), y.vertexTangents && a.enable(16), y.anisotropy && a.enable(17), y.alphaHash && a.enable(18), y.batching && a.enable(19), x.push(a.mask), a.disableAll(), y.fog && a.enable(0), y.useFog && a.enable(1), y.flatShading && a.enable(2), y.logarithmicDepthBuffer && a.enable(3), y.skinning && a.enable(4), y.morphTargets && a.enable(5), y.morphNormals && a.enable(6), y.morphColors && a.enable(7), y.premultipliedAlpha && a.enable(8), y.shadowMapEnabled && a.enable(9), y.useLegacyLights && a.enable(10), y.doubleSided && a.enable(11), y.flipSided && a.enable(12), y.useDepthPacking && a.enable(13), y.dithering && a.enable(14), y.transmission && a.enable(15), y.sheen && a.enable(16), y.opaque && a.enable(17), y.pointsUvs && a.enable(18), y.decodeVideoTexture && a.enable(19), x.push(a.mask); + } + function R(x) { + const y = g[x.type]; + let z; + if (y) { + const Z = Gt[y]; + z = hc.clone(Z.uniforms); + } else + z = x.uniforms; + return z; + } + function D(x, y) { + let z; + for (let Z = 0, re = c.length; Z < re; Z++) { + const L = c[Z]; + if (L.cacheKey === y) { + z = L, ++z.usedTimes; + break; + } + } + return z === void 0 && (z = new Af(i, y, x, s), c.push(z)), z; + } + function C(x) { + if (--x.usedTimes === 0) { + const y = c.indexOf(x); + c[y] = c[c.length - 1], c.pop(), x.destroy(); + } + } + function A(x) { + l.remove(x); + } + function W() { + l.dispose(); + } + return { + getParameters: f, + getProgramCacheKey: u, + getUniforms: R, + acquireProgram: D, + releaseProgram: C, + releaseShaderCache: A, + // Exposed for resource monitoring & error feedback via renderer.info: + programs: c, + dispose: W + }; +} +function Pf() { + let i = /* @__PURE__ */ new WeakMap(); + function e(s) { + let o = i.get(s); + return o === void 0 && (o = {}, i.set(s, o)), o; + } + function t(s) { + i.delete(s); + } + function n(s, o, a) { + i.get(s)[o] = a; + } + function r() { + i = /* @__PURE__ */ new WeakMap(); + } + return { + get: e, + remove: t, + update: n, + dispose: r + }; +} +function Df(i, e) { + return i.groupOrder !== e.groupOrder ? i.groupOrder - e.groupOrder : i.renderOrder !== e.renderOrder ? i.renderOrder - e.renderOrder : i.material.id !== e.material.id ? i.material.id - e.material.id : i.z !== e.z ? i.z - e.z : i.id - e.id; +} +function Ba(i, e) { + return i.groupOrder !== e.groupOrder ? i.groupOrder - e.groupOrder : i.renderOrder !== e.renderOrder ? i.renderOrder - e.renderOrder : i.z !== e.z ? e.z - i.z : i.id - e.id; +} +function za() { + const i = []; + let e = 0; + const t = [], n = [], r = []; + function s() { + e = 0, t.length = 0, n.length = 0, r.length = 0; + } + function o(d, p, m, g, v, f) { + let u = i[e]; + return u === void 0 ? (u = { + id: d.id, + object: d, + geometry: p, + material: m, + groupOrder: g, + renderOrder: d.renderOrder, + z: v, + group: f + }, i[e] = u) : (u.id = d.id, u.object = d, u.geometry = p, u.material = m, u.groupOrder = g, u.renderOrder = d.renderOrder, u.z = v, u.group = f), e++, u; + } + function a(d, p, m, g, v, f) { + const u = o(d, p, m, g, v, f); + m.transmission > 0 ? n.push(u) : m.transparent === !0 ? r.push(u) : t.push(u); + } + function l(d, p, m, g, v, f) { + const u = o(d, p, m, g, v, f); + m.transmission > 0 ? n.unshift(u) : m.transparent === !0 ? r.unshift(u) : t.unshift(u); + } + function c(d, p) { + t.length > 1 && t.sort(d || Df), n.length > 1 && n.sort(p || Ba), r.length > 1 && r.sort(p || Ba); + } + function h() { + for (let d = e, p = i.length; d < p; d++) { + const m = i[d]; + if (m.id === null) break; + m.id = null, m.object = null, m.geometry = null, m.material = null, m.group = null; + } + } + return { + opaque: t, + transmissive: n, + transparent: r, + init: s, + push: a, + unshift: l, + finish: h, + sort: c + }; +} +function Uf() { + let i = /* @__PURE__ */ new WeakMap(); + function e(n, r) { + const s = i.get(n); + let o; + return s === void 0 ? (o = new za(), i.set(n, [o])) : r >= s.length ? (o = new za(), s.push(o)) : o = s[r], o; + } + function t() { + i = /* @__PURE__ */ new WeakMap(); + } + return { + get: e, + dispose: t + }; +} +function If() { + const i = {}; + return { + get: function(e) { + if (i[e.id] !== void 0) + return i[e.id]; + let t; + switch (e.type) { + case "DirectionalLight": + t = { + direction: new P(), + color: new Xe() + }; + break; + case "SpotLight": + t = { + position: new P(), + direction: new P(), + color: new Xe(), + distance: 0, + coneCos: 0, + penumbraCos: 0, + decay: 0 + }; + break; + case "PointLight": + t = { + position: new P(), + color: new Xe(), + distance: 0, + decay: 0 + }; + break; + case "HemisphereLight": + t = { + direction: new P(), + skyColor: new Xe(), + groundColor: new Xe() + }; + break; + case "RectAreaLight": + t = { + color: new Xe(), + position: new P(), + halfWidth: new P(), + halfHeight: new P() + }; + break; + } + return i[e.id] = t, t; + } + }; +} +function Nf() { + const i = {}; + return { + get: function(e) { + if (i[e.id] !== void 0) + return i[e.id]; + let t; + switch (e.type) { + case "DirectionalLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie() + }; + break; + case "SpotLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie() + }; + break; + case "PointLight": + t = { + shadowBias: 0, + shadowNormalBias: 0, + shadowRadius: 1, + shadowMapSize: new Ie(), + shadowCameraNear: 1, + shadowCameraFar: 1e3 + }; + break; + } + return i[e.id] = t, t; + } + }; +} +let Ff = 0; +function Of(i, e) { + return (e.castShadow ? 2 : 0) - (i.castShadow ? 2 : 0) + (e.map ? 1 : 0) - (i.map ? 1 : 0); +} +function Bf(i, e) { + const t = new If(), n = Nf(), r = { + version: 0, + hash: { + directionalLength: -1, + pointLength: -1, + spotLength: -1, + rectAreaLength: -1, + hemiLength: -1, + numDirectionalShadows: -1, + numPointShadows: -1, + numSpotShadows: -1, + numSpotMaps: -1, + numLightProbes: -1 + }, + ambient: [0, 0, 0], + probe: [], + directional: [], + directionalShadow: [], + directionalShadowMap: [], + directionalShadowMatrix: [], + spot: [], + spotLightMap: [], + spotShadow: [], + spotShadowMap: [], + spotLightMatrix: [], + rectArea: [], + rectAreaLTC1: null, + rectAreaLTC2: null, + point: [], + pointShadow: [], + pointShadowMap: [], + pointShadowMatrix: [], + hemi: [], + numSpotLightShadowsWithMaps: 0, + numLightProbes: 0 + }; + for (let h = 0; h < 9; h++) r.probe.push(new P()); + const s = new P(), o = new Qe(), a = new Qe(); + function l(h, d) { + let p = 0, m = 0, g = 0; + for (let Z = 0; Z < 9; Z++) r.probe[Z].set(0, 0, 0); + let v = 0, f = 0, u = 0, b = 0, S = 0, R = 0, D = 0, C = 0, A = 0, W = 0, x = 0; + h.sort(Of); + const y = d === !0 ? Math.PI : 1; + for (let Z = 0, re = h.length; Z < re; Z++) { + const L = h[Z], F = L.color, V = L.intensity, Y = L.distance, X = L.shadow && L.shadow.map ? L.shadow.map.texture : null; + if (L.isAmbientLight) + p += F.r * V * y, m += F.g * V * y, g += F.b * V * y; + else if (L.isLightProbe) { + for (let k = 0; k < 9; k++) + r.probe[k].addScaledVector(L.sh.coefficients[k], V); + x++; + } else if (L.isDirectionalLight) { + const k = t.get(L); + if (k.color.copy(L.color).multiplyScalar(L.intensity * y), L.castShadow) { + const q = L.shadow, Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, r.directionalShadow[v] = Q, r.directionalShadowMap[v] = X, r.directionalShadowMatrix[v] = L.shadow.matrix, R++; + } + r.directional[v] = k, v++; + } else if (L.isSpotLight) { + const k = t.get(L); + k.position.setFromMatrixPosition(L.matrixWorld), k.color.copy(F).multiplyScalar(V * y), k.distance = Y, k.coneCos = Math.cos(L.angle), k.penumbraCos = Math.cos(L.angle * (1 - L.penumbra)), k.decay = L.decay, r.spot[u] = k; + const q = L.shadow; + if (L.map && (r.spotLightMap[A] = L.map, A++, q.updateMatrices(L), L.castShadow && W++), r.spotLightMatrix[u] = q.matrix, L.castShadow) { + const Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, r.spotShadow[u] = Q, r.spotShadowMap[u] = X, C++; + } + u++; + } else if (L.isRectAreaLight) { + const k = t.get(L); + k.color.copy(F).multiplyScalar(V), k.halfWidth.set(L.width * 0.5, 0, 0), k.halfHeight.set(0, L.height * 0.5, 0), r.rectArea[b] = k, b++; + } else if (L.isPointLight) { + const k = t.get(L); + if (k.color.copy(L.color).multiplyScalar(L.intensity * y), k.distance = L.distance, k.decay = L.decay, L.castShadow) { + const q = L.shadow, Q = n.get(L); + Q.shadowBias = q.bias, Q.shadowNormalBias = q.normalBias, Q.shadowRadius = q.radius, Q.shadowMapSize = q.mapSize, Q.shadowCameraNear = q.camera.near, Q.shadowCameraFar = q.camera.far, r.pointShadow[f] = Q, r.pointShadowMap[f] = X, r.pointShadowMatrix[f] = L.shadow.matrix, D++; + } + r.point[f] = k, f++; + } else if (L.isHemisphereLight) { + const k = t.get(L); + k.skyColor.copy(L.color).multiplyScalar(V * y), k.groundColor.copy(L.groundColor).multiplyScalar(V * y), r.hemi[S] = k, S++; + } + } + b > 0 && (e.isWebGL2 ? i.has("OES_texture_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_FLOAT_1, r.rectAreaLTC2 = se.LTC_FLOAT_2) : (r.rectAreaLTC1 = se.LTC_HALF_1, r.rectAreaLTC2 = se.LTC_HALF_2) : i.has("OES_texture_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_FLOAT_1, r.rectAreaLTC2 = se.LTC_FLOAT_2) : i.has("OES_texture_half_float_linear") === !0 ? (r.rectAreaLTC1 = se.LTC_HALF_1, r.rectAreaLTC2 = se.LTC_HALF_2) : console.error("THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.")), r.ambient[0] = p, r.ambient[1] = m, r.ambient[2] = g; + const z = r.hash; + (z.directionalLength !== v || z.pointLength !== f || z.spotLength !== u || z.rectAreaLength !== b || z.hemiLength !== S || z.numDirectionalShadows !== R || z.numPointShadows !== D || z.numSpotShadows !== C || z.numSpotMaps !== A || z.numLightProbes !== x) && (r.directional.length = v, r.spot.length = u, r.rectArea.length = b, r.point.length = f, r.hemi.length = S, r.directionalShadow.length = R, r.directionalShadowMap.length = R, r.pointShadow.length = D, r.pointShadowMap.length = D, r.spotShadow.length = C, r.spotShadowMap.length = C, r.directionalShadowMatrix.length = R, r.pointShadowMatrix.length = D, r.spotLightMatrix.length = C + A - W, r.spotLightMap.length = A, r.numSpotLightShadowsWithMaps = W, r.numLightProbes = x, z.directionalLength = v, z.pointLength = f, z.spotLength = u, z.rectAreaLength = b, z.hemiLength = S, z.numDirectionalShadows = R, z.numPointShadows = D, z.numSpotShadows = C, z.numSpotMaps = A, z.numLightProbes = x, r.version = Ff++); + } + function c(h, d) { + let p = 0, m = 0, g = 0, v = 0, f = 0; + const u = d.matrixWorldInverse; + for (let b = 0, S = h.length; b < S; b++) { + const R = h[b]; + if (R.isDirectionalLight) { + const D = r.directional[p]; + D.direction.setFromMatrixPosition(R.matrixWorld), s.setFromMatrixPosition(R.target.matrixWorld), D.direction.sub(s), D.direction.transformDirection(u), p++; + } else if (R.isSpotLight) { + const D = r.spot[g]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), D.direction.setFromMatrixPosition(R.matrixWorld), s.setFromMatrixPosition(R.target.matrixWorld), D.direction.sub(s), D.direction.transformDirection(u), g++; + } else if (R.isRectAreaLight) { + const D = r.rectArea[v]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), a.identity(), o.copy(R.matrixWorld), o.premultiply(u), a.extractRotation(o), D.halfWidth.set(R.width * 0.5, 0, 0), D.halfHeight.set(0, R.height * 0.5, 0), D.halfWidth.applyMatrix4(a), D.halfHeight.applyMatrix4(a), v++; + } else if (R.isPointLight) { + const D = r.point[m]; + D.position.setFromMatrixPosition(R.matrixWorld), D.position.applyMatrix4(u), m++; + } else if (R.isHemisphereLight) { + const D = r.hemi[f]; + D.direction.setFromMatrixPosition(R.matrixWorld), D.direction.transformDirection(u), f++; + } + } + } + return { + setup: l, + setupView: c, + state: r + }; +} +function Ga(i, e) { + const t = new Bf(i, e), n = [], r = []; + function s() { + n.length = 0, r.length = 0; + } + function o(d) { + n.push(d); + } + function a(d) { + r.push(d); + } + function l(d) { + t.setup(n, d); + } + function c(d) { + t.setupView(n, d); + } + return { + init: s, + state: { + lightsArray: n, + shadowsArray: r, + lights: t + }, + setupLights: l, + setupLightsView: c, + pushLight: o, + pushShadow: a + }; +} +function zf(i, e) { + let t = /* @__PURE__ */ new WeakMap(); + function n(s, o = 0) { + const a = t.get(s); + let l; + return a === void 0 ? (l = new Ga(i, e), t.set(s, [l])) : o >= a.length ? (l = new Ga(i, e), a.push(l)) : l = a[o], l; + } + function r() { + t = /* @__PURE__ */ new WeakMap(); + } + return { + get: n, + dispose: r + }; +} +class Gf extends Mi { + constructor(e) { + super(), this.isMeshDepthMaterial = !0, this.type = "MeshDepthMaterial", this.depthPacking = Nl, this.map = null, this.alphaMap = null, this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.wireframe = !1, this.wireframeLinewidth = 1, this.setValues(e); + } + copy(e) { + return super.copy(e), this.depthPacking = e.depthPacking, this.map = e.map, this.alphaMap = e.alphaMap, this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this; + } +} +class Hf extends Mi { + constructor(e) { + super(), this.isMeshDistanceMaterial = !0, this.type = "MeshDistanceMaterial", this.map = null, this.alphaMap = null, this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.map = e.map, this.alphaMap = e.alphaMap, this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this; + } +} +const Vf = `void main() { + gl_Position = vec4( position, 1.0 ); +}`, kf = `uniform sampler2D shadow_pass; +uniform vec2 resolution; +uniform float radius; +#include +void main() { + const float samples = float( VSM_SAMPLES ); + float mean = 0.0; + float squared_mean = 0.0; + float uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 ); + float uvStart = samples <= 1.0 ? 0.0 : - 1.0; + for ( float i = 0.0; i < samples; i ++ ) { + float uvOffset = uvStart + i * uvStride; + #ifdef HORIZONTAL_PASS + vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) ); + mean += distribution.x; + squared_mean += distribution.y * distribution.y + distribution.x * distribution.x; + #else + float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) ); + mean += depth; + squared_mean += depth * depth; + #endif + } + mean = mean / samples; + squared_mean = squared_mean / samples; + float std_dev = sqrt( squared_mean - mean * mean ); + gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) ); +}`; +function Wf(i, e, t) { + let n = new cs(); + const r = new Ie(), s = new Ie(), o = new $e(), a = new Gf({ depthPacking: Fl }), l = new Hf(), c = {}, h = t.maxTextureSize, d = { [un]: Mt, [Mt]: un, [Kt]: Kt }, p = new wn({ + defines: { + VSM_SAMPLES: 8 + }, + uniforms: { + shadow_pass: { value: null }, + resolution: { value: new Ie() }, + radius: { value: 4 } + }, + vertexShader: Vf, + fragmentShader: kf + }), m = p.clone(); + m.defines.HORIZONTAL_PASS = 1; + const g = new hn(); + g.setAttribute( + "position", + new Bt( + new Float32Array([-1, -1, 0.5, 3, -1, 0.5, -1, 3, 0.5]), + 3 + ) + ); + const v = new Ot(g, p), f = this; + this.enabled = !1, this.autoUpdate = !0, this.needsUpdate = !1, this.type = so; + let u = this.type; + this.render = function(C, A, W) { + if (f.enabled === !1 || f.autoUpdate === !1 && f.needsUpdate === !1 || C.length === 0) return; + const x = i.getRenderTarget(), y = i.getActiveCubeFace(), z = i.getActiveMipmapLevel(), Z = i.state; + Z.setBlending(on), Z.buffers.color.setClear(1, 1, 1, 1), Z.buffers.depth.setTest(!0), Z.setScissorTest(!1); + const re = u !== jt && this.type === jt, L = u === jt && this.type !== jt; + for (let F = 0, V = C.length; F < V; F++) { + const Y = C[F], X = Y.shadow; + if (X === void 0) { + console.warn("THREE.WebGLShadowMap:", Y, "has no shadow."); + continue; + } + if (X.autoUpdate === !1 && X.needsUpdate === !1) continue; + r.copy(X.mapSize); + const k = X.getFrameExtents(); + if (r.multiply(k), s.copy(X.mapSize), (r.x > h || r.y > h) && (r.x > h && (s.x = Math.floor(h / k.x), r.x = s.x * k.x, X.mapSize.x = s.x), r.y > h && (s.y = Math.floor(h / k.y), r.y = s.y * k.y, X.mapSize.y = s.y)), X.map === null || re === !0 || L === !0) { + const Q = this.type !== jt ? { minFilter: gt, magFilter: gt } : {}; + X.map !== null && X.map.dispose(), X.map = new bn(r.x, r.y, Q), X.map.texture.name = Y.name + ".shadowMap", X.camera.updateProjectionMatrix(); + } + i.setRenderTarget(X.map), i.clear(); + const q = X.getViewportCount(); + for (let Q = 0; Q < q; Q++) { + const ce = X.getViewport(Q); + o.set( + s.x * ce.x, + s.y * ce.y, + s.x * ce.z, + s.y * ce.w + ), Z.viewport(o), X.updateMatrices(Y, Q), n = X.getFrustum(), R(A, W, X.camera, Y, this.type); + } + X.isPointLightShadow !== !0 && this.type === jt && b(X, W), X.needsUpdate = !1; + } + u = this.type, f.needsUpdate = !1, i.setRenderTarget(x, y, z); + }; + function b(C, A) { + const W = e.update(v); + p.defines.VSM_SAMPLES !== C.blurSamples && (p.defines.VSM_SAMPLES = C.blurSamples, m.defines.VSM_SAMPLES = C.blurSamples, p.needsUpdate = !0, m.needsUpdate = !0), C.mapPass === null && (C.mapPass = new bn(r.x, r.y)), p.uniforms.shadow_pass.value = C.map.texture, p.uniforms.resolution.value = C.mapSize, p.uniforms.radius.value = C.radius, i.setRenderTarget(C.mapPass), i.clear(), i.renderBufferDirect(A, null, W, p, v, null), m.uniforms.shadow_pass.value = C.mapPass.texture, m.uniforms.resolution.value = C.mapSize, m.uniforms.radius.value = C.radius, i.setRenderTarget(C.map), i.clear(), i.renderBufferDirect(A, null, W, m, v, null); + } + function S(C, A, W, x) { + let y = null; + const z = W.isPointLight === !0 ? C.customDistanceMaterial : C.customDepthMaterial; + if (z !== void 0) + y = z; + else if (y = W.isPointLight === !0 ? l : a, i.localClippingEnabled && A.clipShadows === !0 && Array.isArray(A.clippingPlanes) && A.clippingPlanes.length !== 0 || A.displacementMap && A.displacementScale !== 0 || A.alphaMap && A.alphaTest > 0 || A.map && A.alphaTest > 0) { + const Z = y.uuid, re = A.uuid; + let L = c[Z]; + L === void 0 && (L = {}, c[Z] = L); + let F = L[re]; + F === void 0 && (F = y.clone(), L[re] = F, A.addEventListener("dispose", D)), y = F; + } + if (y.visible = A.visible, y.wireframe = A.wireframe, x === jt ? y.side = A.shadowSide !== null ? A.shadowSide : A.side : y.side = A.shadowSide !== null ? A.shadowSide : d[A.side], y.alphaMap = A.alphaMap, y.alphaTest = A.alphaTest, y.map = A.map, y.clipShadows = A.clipShadows, y.clippingPlanes = A.clippingPlanes, y.clipIntersection = A.clipIntersection, y.displacementMap = A.displacementMap, y.displacementScale = A.displacementScale, y.displacementBias = A.displacementBias, y.wireframeLinewidth = A.wireframeLinewidth, y.linewidth = A.linewidth, W.isPointLight === !0 && y.isMeshDistanceMaterial === !0) { + const Z = i.properties.get(y); + Z.light = W; + } + return y; + } + function R(C, A, W, x, y) { + if (C.visible === !1) return; + if (C.layers.test(A.layers) && (C.isMesh || C.isLine || C.isPoints) && (C.castShadow || C.receiveShadow && y === jt) && (!C.frustumCulled || n.intersectsObject(C))) { + C.modelViewMatrix.multiplyMatrices(W.matrixWorldInverse, C.matrixWorld); + const re = e.update(C), L = C.material; + if (Array.isArray(L)) { + const F = re.groups; + for (let V = 0, Y = F.length; V < Y; V++) { + const X = F[V], k = L[X.materialIndex]; + if (k && k.visible) { + const q = S(C, k, x, y); + C.onBeforeShadow(i, C, A, W, re, q, X), i.renderBufferDirect(W, null, re, q, C, X), C.onAfterShadow(i, C, A, W, re, q, X); + } + } + } else if (L.visible) { + const F = S(C, L, x, y); + C.onBeforeShadow(i, C, A, W, re, F, null), i.renderBufferDirect(W, null, re, F, C, null), C.onAfterShadow(i, C, A, W, re, F, null); + } + } + const Z = C.children; + for (let re = 0, L = Z.length; re < L; re++) + R(Z[re], A, W, x, y); + } + function D(C) { + C.target.removeEventListener("dispose", D); + for (const W in c) { + const x = c[W], y = C.target.uuid; + y in x && (x[y].dispose(), delete x[y]); + } + } +} +function Xf(i, e, t) { + const n = t.isWebGL2; + function r() { + let w = !1; + const ie = new $e(); + let le = null; + const Ce = new $e(0, 0, 0, 0); + return { + setMask: function(Te) { + le !== Te && !w && (i.colorMask(Te, Te, Te, Te), le = Te); + }, + setLocked: function(Te) { + w = Te; + }, + setClear: function(Te, ke, We, et, nt) { + nt === !0 && (Te *= et, ke *= et, We *= et), ie.set(Te, ke, We, et), Ce.equals(ie) === !1 && (i.clearColor(Te, ke, We, et), Ce.copy(ie)); + }, + reset: function() { + w = !1, le = null, Ce.set(-1, 0, 0, 0); + } + }; + } + function s() { + let w = !1, ie = null, le = null, Ce = null; + return { + setTest: function(Te) { + Te ? Ae(i.DEPTH_TEST) : ge(i.DEPTH_TEST); + }, + setMask: function(Te) { + ie !== Te && !w && (i.depthMask(Te), ie = Te); + }, + setFunc: function(Te) { + if (le !== Te) { + switch (Te) { + case hl: + i.depthFunc(i.NEVER); + break; + case dl: + i.depthFunc(i.ALWAYS); + break; + case fl: + i.depthFunc(i.LESS); + break; + case $i: + i.depthFunc(i.LEQUAL); + break; + case pl: + i.depthFunc(i.EQUAL); + break; + case ml: + i.depthFunc(i.GEQUAL); + break; + case _l: + i.depthFunc(i.GREATER); + break; + case gl: + i.depthFunc(i.NOTEQUAL); + break; + default: + i.depthFunc(i.LEQUAL); + } + le = Te; + } + }, + setLocked: function(Te) { + w = Te; + }, + setClear: function(Te) { + Ce !== Te && (i.clearDepth(Te), Ce = Te); + }, + reset: function() { + w = !1, ie = null, le = null, Ce = null; + } + }; + } + function o() { + let w = !1, ie = null, le = null, Ce = null, Te = null, ke = null, We = null, et = null, nt = null; + return { + setTest: function(qe) { + w || (qe ? Ae(i.STENCIL_TEST) : ge(i.STENCIL_TEST)); + }, + setMask: function(qe) { + ie !== qe && !w && (i.stencilMask(qe), ie = qe); + }, + setFunc: function(qe, st, zt) { + (le !== qe || Ce !== st || Te !== zt) && (i.stencilFunc(qe, st, zt), le = qe, Ce = st, Te = zt); + }, + setOp: function(qe, st, zt) { + (ke !== qe || We !== st || et !== zt) && (i.stencilOp(qe, st, zt), ke = qe, We = st, et = zt); + }, + setLocked: function(qe) { + w = qe; + }, + setClear: function(qe) { + nt !== qe && (i.clearStencil(qe), nt = qe); + }, + reset: function() { + w = !1, ie = null, le = null, Ce = null, Te = null, ke = null, We = null, et = null, nt = null; + } + }; + } + const a = new r(), l = new s(), c = new o(), h = /* @__PURE__ */ new WeakMap(), d = /* @__PURE__ */ new WeakMap(); + let p = {}, m = {}, g = /* @__PURE__ */ new WeakMap(), v = [], f = null, u = !1, b = null, S = null, R = null, D = null, C = null, A = null, W = null, x = new Xe(0, 0, 0), y = 0, z = !1, Z = null, re = null, L = null, F = null, V = null; + const Y = i.getParameter(i.MAX_COMBINED_TEXTURE_IMAGE_UNITS); + let X = !1, k = 0; + const q = i.getParameter(i.VERSION); + q.indexOf("WebGL") !== -1 ? (k = parseFloat(/^WebGL (\d)/.exec(q)[1]), X = k >= 1) : q.indexOf("OpenGL ES") !== -1 && (k = parseFloat(/^OpenGL ES (\d)/.exec(q)[1]), X = k >= 2); + let Q = null, ce = {}; + const H = i.getParameter(i.SCISSOR_BOX), j = i.getParameter(i.VIEWPORT), oe = new $e().fromArray(H), ve = new $e().fromArray(j); + function _e(w, ie, le, Ce) { + const Te = new Uint8Array(4), ke = i.createTexture(); + i.bindTexture(w, ke), i.texParameteri(w, i.TEXTURE_MIN_FILTER, i.NEAREST), i.texParameteri(w, i.TEXTURE_MAG_FILTER, i.NEAREST); + for (let We = 0; We < le; We++) + n && (w === i.TEXTURE_3D || w === i.TEXTURE_2D_ARRAY) ? i.texImage3D(ie, 0, i.RGBA, 1, 1, Ce, 0, i.RGBA, i.UNSIGNED_BYTE, Te) : i.texImage2D(ie + We, 0, i.RGBA, 1, 1, 0, i.RGBA, i.UNSIGNED_BYTE, Te); + return ke; + } + const we = {}; + we[i.TEXTURE_2D] = _e(i.TEXTURE_2D, i.TEXTURE_2D, 1), we[i.TEXTURE_CUBE_MAP] = _e(i.TEXTURE_CUBE_MAP, i.TEXTURE_CUBE_MAP_POSITIVE_X, 6), n && (we[i.TEXTURE_2D_ARRAY] = _e(i.TEXTURE_2D_ARRAY, i.TEXTURE_2D_ARRAY, 1, 1), we[i.TEXTURE_3D] = _e(i.TEXTURE_3D, i.TEXTURE_3D, 1, 1)), a.setClear(0, 0, 0, 1), l.setClear(1), c.setClear(0), Ae(i.DEPTH_TEST), l.setFunc($i), be(!1), M(Ss), Ae(i.CULL_FACE), pe(on); + function Ae(w) { + p[w] !== !0 && (i.enable(w), p[w] = !0); + } + function ge(w) { + p[w] !== !1 && (i.disable(w), p[w] = !1); + } + function Pe(w, ie) { + return m[w] !== ie ? (i.bindFramebuffer(w, ie), m[w] = ie, n && (w === i.DRAW_FRAMEBUFFER && (m[i.FRAMEBUFFER] = ie), w === i.FRAMEBUFFER && (m[i.DRAW_FRAMEBUFFER] = ie)), !0) : !1; + } + function N(w, ie) { + let le = v, Ce = !1; + if (w) + if (le = g.get(ie), le === void 0 && (le = [], g.set(ie, le)), w.isWebGLMultipleRenderTargets) { + const Te = w.texture; + if (le.length !== Te.length || le[0] !== i.COLOR_ATTACHMENT0) { + for (let ke = 0, We = Te.length; ke < We; ke++) + le[ke] = i.COLOR_ATTACHMENT0 + ke; + le.length = Te.length, Ce = !0; + } + } else + le[0] !== i.COLOR_ATTACHMENT0 && (le[0] = i.COLOR_ATTACHMENT0, Ce = !0); + else + le[0] !== i.BACK && (le[0] = i.BACK, Ce = !0); + Ce && (t.isWebGL2 ? i.drawBuffers(le) : e.get("WEBGL_draw_buffers").drawBuffersWEBGL(le)); + } + function rt(w) { + return f !== w ? (i.useProgram(w), f = w, !0) : !1; + } + const Me = { + [Mn]: i.FUNC_ADD, + [Zo]: i.FUNC_SUBTRACT, + [$o]: i.FUNC_REVERSE_SUBTRACT + }; + if (n) + Me[bs] = i.MIN, Me[As] = i.MAX; + else { + const w = e.get("EXT_blend_minmax"); + w !== null && (Me[bs] = w.MIN_EXT, Me[As] = w.MAX_EXT); + } + const Re = { + [Jo]: i.ZERO, + [Qo]: i.ONE, + [el]: i.SRC_COLOR, + [Kr]: i.SRC_ALPHA, + [al]: i.SRC_ALPHA_SATURATE, + [rl]: i.DST_COLOR, + [nl]: i.DST_ALPHA, + [tl]: i.ONE_MINUS_SRC_COLOR, + [Zr]: i.ONE_MINUS_SRC_ALPHA, + [sl]: i.ONE_MINUS_DST_COLOR, + [il]: i.ONE_MINUS_DST_ALPHA, + [ol]: i.CONSTANT_COLOR, + [ll]: i.ONE_MINUS_CONSTANT_COLOR, + [cl]: i.CONSTANT_ALPHA, + [ul]: i.ONE_MINUS_CONSTANT_ALPHA + }; + function pe(w, ie, le, Ce, Te, ke, We, et, nt, qe) { + if (w === on) { + u === !0 && (ge(i.BLEND), u = !1); + return; + } + if (u === !1 && (Ae(i.BLEND), u = !0), w !== Ko) { + if (w !== b || qe !== z) { + if ((S !== Mn || C !== Mn) && (i.blendEquation(i.FUNC_ADD), S = Mn, C = Mn), qe) + switch (w) { + case $n: + i.blendFuncSeparate(i.ONE, i.ONE_MINUS_SRC_ALPHA, i.ONE, i.ONE_MINUS_SRC_ALPHA); + break; + case Es: + i.blendFunc(i.ONE, i.ONE); + break; + case ys: + i.blendFuncSeparate(i.ZERO, i.ONE_MINUS_SRC_COLOR, i.ZERO, i.ONE); + break; + case Ts: + i.blendFuncSeparate(i.ZERO, i.SRC_COLOR, i.ZERO, i.SRC_ALPHA); + break; + default: + console.error("THREE.WebGLState: Invalid blending: ", w); + break; + } + else + switch (w) { + case $n: + i.blendFuncSeparate(i.SRC_ALPHA, i.ONE_MINUS_SRC_ALPHA, i.ONE, i.ONE_MINUS_SRC_ALPHA); + break; + case Es: + i.blendFunc(i.SRC_ALPHA, i.ONE); + break; + case ys: + i.blendFuncSeparate(i.ZERO, i.ONE_MINUS_SRC_COLOR, i.ZERO, i.ONE); + break; + case Ts: + i.blendFunc(i.ZERO, i.SRC_COLOR); + break; + default: + console.error("THREE.WebGLState: Invalid blending: ", w); + break; + } + R = null, D = null, A = null, W = null, x.set(0, 0, 0), y = 0, b = w, z = qe; + } + return; + } + Te = Te || ie, ke = ke || le, We = We || Ce, (ie !== S || Te !== C) && (i.blendEquationSeparate(Me[ie], Me[Te]), S = ie, C = Te), (le !== R || Ce !== D || ke !== A || We !== W) && (i.blendFuncSeparate(Re[le], Re[Ce], Re[ke], Re[We]), R = le, D = Ce, A = ke, W = We), (et.equals(x) === !1 || nt !== y) && (i.blendColor(et.r, et.g, et.b, nt), x.copy(et), y = nt), b = w, z = !1; + } + function je(w, ie) { + w.side === Kt ? ge(i.CULL_FACE) : Ae(i.CULL_FACE); + let le = w.side === Mt; + ie && (le = !le), be(le), w.blending === $n && w.transparent === !1 ? pe(on) : pe(w.blending, w.blendEquation, w.blendSrc, w.blendDst, w.blendEquationAlpha, w.blendSrcAlpha, w.blendDstAlpha, w.blendColor, w.blendAlpha, w.premultipliedAlpha), l.setFunc(w.depthFunc), l.setTest(w.depthTest), l.setMask(w.depthWrite), a.setMask(w.colorWrite); + const Ce = w.stencilWrite; + c.setTest(Ce), Ce && (c.setMask(w.stencilWriteMask), c.setFunc(w.stencilFunc, w.stencilRef, w.stencilFuncMask), c.setOp(w.stencilFail, w.stencilZFail, w.stencilZPass)), I(w.polygonOffset, w.polygonOffsetFactor, w.polygonOffsetUnits), w.alphaToCoverage === !0 ? Ae(i.SAMPLE_ALPHA_TO_COVERAGE) : ge(i.SAMPLE_ALPHA_TO_COVERAGE); + } + function be(w) { + Z !== w && (w ? i.frontFace(i.CW) : i.frontFace(i.CCW), Z = w); + } + function M(w) { + w !== Yo ? (Ae(i.CULL_FACE), w !== re && (w === Ss ? i.cullFace(i.BACK) : w === jo ? i.cullFace(i.FRONT) : i.cullFace(i.FRONT_AND_BACK))) : ge(i.CULL_FACE), re = w; + } + function _(w) { + w !== L && (X && i.lineWidth(w), L = w); + } + function I(w, ie, le) { + w ? (Ae(i.POLYGON_OFFSET_FILL), (F !== ie || V !== le) && (i.polygonOffset(ie, le), F = ie, V = le)) : ge(i.POLYGON_OFFSET_FILL); + } + function $(w) { + w ? Ae(i.SCISSOR_TEST) : ge(i.SCISSOR_TEST); + } + function K(w) { + w === void 0 && (w = i.TEXTURE0 + Y - 1), Q !== w && (i.activeTexture(w), Q = w); + } + function J(w, ie, le) { + le === void 0 && (Q === null ? le = i.TEXTURE0 + Y - 1 : le = Q); + let Ce = ce[le]; + Ce === void 0 && (Ce = { type: void 0, texture: void 0 }, ce[le] = Ce), (Ce.type !== w || Ce.texture !== ie) && (Q !== le && (i.activeTexture(le), Q = le), i.bindTexture(w, ie || we[w]), Ce.type = w, Ce.texture = ie); + } + function me() { + const w = ce[Q]; + w !== void 0 && w.type !== void 0 && (i.bindTexture(w.type, null), w.type = void 0, w.texture = void 0); + } + function ae() { + try { + i.compressedTexImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function he() { + try { + i.compressedTexImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ye() { + try { + i.texSubImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Fe() { + try { + i.texSubImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ee() { + try { + i.compressedTexSubImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Ye() { + try { + i.compressedTexSubImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ze() { + try { + i.texStorage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function De() { + try { + i.texStorage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function Ee() { + try { + i.texImage2D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function ue() { + try { + i.texImage3D.apply(i, arguments); + } catch (w) { + console.error("THREE.WebGLState:", w); + } + } + function T(w) { + oe.equals(w) === !1 && (i.scissor(w.x, w.y, w.z, w.w), oe.copy(w)); + } + function ne(w) { + ve.equals(w) === !1 && (i.viewport(w.x, w.y, w.z, w.w), ve.copy(w)); + } + function xe(w, ie) { + let le = d.get(ie); + le === void 0 && (le = /* @__PURE__ */ new WeakMap(), d.set(ie, le)); + let Ce = le.get(w); + Ce === void 0 && (Ce = i.getUniformBlockIndex(ie, w.name), le.set(w, Ce)); + } + function fe(w, ie) { + const Ce = d.get(ie).get(w); + h.get(ie) !== Ce && (i.uniformBlockBinding(ie, Ce, w.__bindingPointIndex), h.set(ie, Ce)); + } + function te() { + i.disable(i.BLEND), i.disable(i.CULL_FACE), i.disable(i.DEPTH_TEST), i.disable(i.POLYGON_OFFSET_FILL), i.disable(i.SCISSOR_TEST), i.disable(i.STENCIL_TEST), i.disable(i.SAMPLE_ALPHA_TO_COVERAGE), i.blendEquation(i.FUNC_ADD), i.blendFunc(i.ONE, i.ZERO), i.blendFuncSeparate(i.ONE, i.ZERO, i.ONE, i.ZERO), i.blendColor(0, 0, 0, 0), i.colorMask(!0, !0, !0, !0), i.clearColor(0, 0, 0, 0), i.depthMask(!0), i.depthFunc(i.LESS), i.clearDepth(1), i.stencilMask(4294967295), i.stencilFunc(i.ALWAYS, 0, 4294967295), i.stencilOp(i.KEEP, i.KEEP, i.KEEP), i.clearStencil(0), i.cullFace(i.BACK), i.frontFace(i.CCW), i.polygonOffset(0, 0), i.activeTexture(i.TEXTURE0), i.bindFramebuffer(i.FRAMEBUFFER, null), n === !0 && (i.bindFramebuffer(i.DRAW_FRAMEBUFFER, null), i.bindFramebuffer(i.READ_FRAMEBUFFER, null)), i.useProgram(null), i.lineWidth(1), i.scissor(0, 0, i.canvas.width, i.canvas.height), i.viewport(0, 0, i.canvas.width, i.canvas.height), p = {}, Q = null, ce = {}, m = {}, g = /* @__PURE__ */ new WeakMap(), v = [], f = null, u = !1, b = null, S = null, R = null, D = null, C = null, A = null, W = null, x = new Xe(0, 0, 0), y = 0, z = !1, Z = null, re = null, L = null, F = null, V = null, oe.set(0, 0, i.canvas.width, i.canvas.height), ve.set(0, 0, i.canvas.width, i.canvas.height), a.reset(), l.reset(), c.reset(); + } + return { + buffers: { + color: a, + depth: l, + stencil: c + }, + enable: Ae, + disable: ge, + bindFramebuffer: Pe, + drawBuffers: N, + useProgram: rt, + setBlending: pe, + setMaterial: je, + setFlipSided: be, + setCullFace: M, + setLineWidth: _, + setPolygonOffset: I, + setScissorTest: $, + activeTexture: K, + bindTexture: J, + unbindTexture: me, + compressedTexImage2D: ae, + compressedTexImage3D: he, + texImage2D: Ee, + texImage3D: ue, + updateUBOMapping: xe, + uniformBlockBinding: fe, + texStorage2D: ze, + texStorage3D: De, + texSubImage2D: ye, + texSubImage3D: Fe, + compressedTexSubImage2D: ee, + compressedTexSubImage3D: Ye, + scissor: T, + viewport: ne, + reset: te + }; +} +function qf(i, e, t, n, r, s, o) { + const a = r.isWebGL2, l = e.has("WEBGL_multisampled_render_to_texture") ? e.get("WEBGL_multisampled_render_to_texture") : null, c = typeof navigator > "u" ? !1 : /OculusBrowser/g.test(navigator.userAgent), h = /* @__PURE__ */ new WeakMap(); + let d; + const p = /* @__PURE__ */ new WeakMap(); + let m = !1; + try { + m = typeof OffscreenCanvas < "u" && new OffscreenCanvas(1, 1).getContext("2d") !== null; + } catch { + } + function g(M, _) { + return m ? ( + // eslint-disable-next-line compat/compat + new OffscreenCanvas(M, _) + ) : nr("canvas"); + } + function v(M, _, I, $) { + let K = 1; + if ((M.width > $ || M.height > $) && (K = $ / Math.max(M.width, M.height)), K < 1 || _ === !0) + if (typeof HTMLImageElement < "u" && M instanceof HTMLImageElement || typeof HTMLCanvasElement < "u" && M instanceof HTMLCanvasElement || typeof ImageBitmap < "u" && M instanceof ImageBitmap) { + const J = _ ? is : Math.floor, me = J(K * M.width), ae = J(K * M.height); + d === void 0 && (d = g(me, ae)); + const he = I ? g(me, ae) : d; + return he.width = me, he.height = ae, he.getContext("2d").drawImage(M, 0, 0, me, ae), console.warn("THREE.WebGLRenderer: Texture has been resized from (" + M.width + "x" + M.height + ") to (" + me + "x" + ae + ")."), he; + } else + return "data" in M && console.warn("THREE.WebGLRenderer: Image in DataTexture is too big (" + M.width + "x" + M.height + ")."), M; + return M; + } + function f(M) { + return na(M.width) && na(M.height); + } + function u(M) { + return a ? !1 : M.wrapS !== Nt || M.wrapT !== Nt || M.minFilter !== gt && M.minFilter !== Rt; + } + function b(M, _) { + return M.generateMipmaps && _ && M.minFilter !== gt && M.minFilter !== Rt; + } + function S(M) { + i.generateMipmap(M); + } + function R(M, _, I, $, K = !1) { + if (a === !1) return _; + if (M !== null) { + if (i[M] !== void 0) return i[M]; + console.warn("THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '" + M + "'"); + } + let J = _; + if (_ === i.RED && (I === i.FLOAT && (J = i.R32F), I === i.HALF_FLOAT && (J = i.R16F), I === i.UNSIGNED_BYTE && (J = i.R8)), _ === i.RED_INTEGER && (I === i.UNSIGNED_BYTE && (J = i.R8UI), I === i.UNSIGNED_SHORT && (J = i.R16UI), I === i.UNSIGNED_INT && (J = i.R32UI), I === i.BYTE && (J = i.R8I), I === i.SHORT && (J = i.R16I), I === i.INT && (J = i.R32I)), _ === i.RG && (I === i.FLOAT && (J = i.RG32F), I === i.HALF_FLOAT && (J = i.RG16F), I === i.UNSIGNED_BYTE && (J = i.RG8)), _ === i.RGBA) { + const me = K ? Ji : Ke.getTransfer($); + I === i.FLOAT && (J = i.RGBA32F), I === i.HALF_FLOAT && (J = i.RGBA16F), I === i.UNSIGNED_BYTE && (J = me === Ze ? i.SRGB8_ALPHA8 : i.RGBA8), I === i.UNSIGNED_SHORT_4_4_4_4 && (J = i.RGBA4), I === i.UNSIGNED_SHORT_5_5_5_1 && (J = i.RGB5_A1); + } + return (J === i.R16F || J === i.R32F || J === i.RG16F || J === i.RG32F || J === i.RGBA16F || J === i.RGBA32F) && e.get("EXT_color_buffer_float"), J; + } + function D(M, _, I) { + return b(M, I) === !0 || M.isFramebufferTexture && M.minFilter !== gt && M.minFilter !== Rt ? Math.log2(Math.max(_.width, _.height)) + 1 : M.mipmaps !== void 0 && M.mipmaps.length > 0 ? M.mipmaps.length : M.isCompressedTexture && Array.isArray(M.image) ? _.mipmaps.length : 1; + } + function C(M) { + return M === gt || M === ws || M === pr ? i.NEAREST : i.LINEAR; + } + function A(M) { + const _ = M.target; + _.removeEventListener("dispose", A), x(_), _.isVideoTexture && h.delete(_); + } + function W(M) { + const _ = M.target; + _.removeEventListener("dispose", W), z(_); + } + function x(M) { + const _ = n.get(M); + if (_.__webglInit === void 0) return; + const I = M.source, $ = p.get(I); + if ($) { + const K = $[_.__cacheKey]; + K.usedTimes--, K.usedTimes === 0 && y(M), Object.keys($).length === 0 && p.delete(I); + } + n.remove(M); + } + function y(M) { + const _ = n.get(M); + i.deleteTexture(_.__webglTexture); + const I = M.source, $ = p.get(I); + delete $[_.__cacheKey], o.memory.textures--; + } + function z(M) { + const _ = M.texture, I = n.get(M), $ = n.get(_); + if ($.__webglTexture !== void 0 && (i.deleteTexture($.__webglTexture), o.memory.textures--), M.depthTexture && M.depthTexture.dispose(), M.isWebGLCubeRenderTarget) + for (let K = 0; K < 6; K++) { + if (Array.isArray(I.__webglFramebuffer[K])) + for (let J = 0; J < I.__webglFramebuffer[K].length; J++) i.deleteFramebuffer(I.__webglFramebuffer[K][J]); + else + i.deleteFramebuffer(I.__webglFramebuffer[K]); + I.__webglDepthbuffer && i.deleteRenderbuffer(I.__webglDepthbuffer[K]); + } + else { + if (Array.isArray(I.__webglFramebuffer)) + for (let K = 0; K < I.__webglFramebuffer.length; K++) i.deleteFramebuffer(I.__webglFramebuffer[K]); + else + i.deleteFramebuffer(I.__webglFramebuffer); + if (I.__webglDepthbuffer && i.deleteRenderbuffer(I.__webglDepthbuffer), I.__webglMultisampledFramebuffer && i.deleteFramebuffer(I.__webglMultisampledFramebuffer), I.__webglColorRenderbuffer) + for (let K = 0; K < I.__webglColorRenderbuffer.length; K++) + I.__webglColorRenderbuffer[K] && i.deleteRenderbuffer(I.__webglColorRenderbuffer[K]); + I.__webglDepthRenderbuffer && i.deleteRenderbuffer(I.__webglDepthRenderbuffer); + } + if (M.isWebGLMultipleRenderTargets) + for (let K = 0, J = _.length; K < J; K++) { + const me = n.get(_[K]); + me.__webglTexture && (i.deleteTexture(me.__webglTexture), o.memory.textures--), n.remove(_[K]); + } + n.remove(_), n.remove(M); + } + let Z = 0; + function re() { + Z = 0; + } + function L() { + const M = Z; + return M >= r.maxTextures && console.warn("THREE.WebGLTextures: Trying to use " + M + " texture units while this GPU supports only " + r.maxTextures), Z += 1, M; + } + function F(M) { + const _ = []; + return _.push(M.wrapS), _.push(M.wrapT), _.push(M.wrapR || 0), _.push(M.magFilter), _.push(M.minFilter), _.push(M.anisotropy), _.push(M.internalFormat), _.push(M.format), _.push(M.type), _.push(M.generateMipmaps), _.push(M.premultiplyAlpha), _.push(M.flipY), _.push(M.unpackAlignment), _.push(M.colorSpace), _.join(); + } + function V(M, _) { + const I = n.get(M); + if (M.isVideoTexture && je(M), M.isRenderTargetTexture === !1 && M.version > 0 && I.__version !== M.version) { + const $ = M.image; + if ($ === null) + console.warn("THREE.WebGLRenderer: Texture marked for update but no image data found."); + else if ($.complete === !1) + console.warn("THREE.WebGLRenderer: Texture marked for update but image is incomplete"); + else { + oe(I, M, _); + return; + } + } + t.bindTexture(i.TEXTURE_2D, I.__webglTexture, i.TEXTURE0 + _); + } + function Y(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + oe(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_2D_ARRAY, I.__webglTexture, i.TEXTURE0 + _); + } + function X(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + oe(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_3D, I.__webglTexture, i.TEXTURE0 + _); + } + function k(M, _) { + const I = n.get(M); + if (M.version > 0 && I.__version !== M.version) { + ve(I, M, _); + return; + } + t.bindTexture(i.TEXTURE_CUBE_MAP, I.__webglTexture, i.TEXTURE0 + _); + } + const q = { + [Qr]: i.REPEAT, + [Nt]: i.CLAMP_TO_EDGE, + [es]: i.MIRRORED_REPEAT + }, Q = { + [gt]: i.NEAREST, + [ws]: i.NEAREST_MIPMAP_NEAREST, + [pr]: i.NEAREST_MIPMAP_LINEAR, + [Rt]: i.LINEAR, + [Al]: i.LINEAR_MIPMAP_NEAREST, + [_i]: i.LINEAR_MIPMAP_LINEAR + }, ce = { + [Bl]: i.NEVER, + [Wl]: i.ALWAYS, + [zl]: i.LESS, + [xo]: i.LEQUAL, + [Gl]: i.EQUAL, + [kl]: i.GEQUAL, + [Hl]: i.GREATER, + [Vl]: i.NOTEQUAL + }; + function H(M, _, I) { + if (I ? (i.texParameteri(M, i.TEXTURE_WRAP_S, q[_.wrapS]), i.texParameteri(M, i.TEXTURE_WRAP_T, q[_.wrapT]), (M === i.TEXTURE_3D || M === i.TEXTURE_2D_ARRAY) && i.texParameteri(M, i.TEXTURE_WRAP_R, q[_.wrapR]), i.texParameteri(M, i.TEXTURE_MAG_FILTER, Q[_.magFilter]), i.texParameteri(M, i.TEXTURE_MIN_FILTER, Q[_.minFilter])) : (i.texParameteri(M, i.TEXTURE_WRAP_S, i.CLAMP_TO_EDGE), i.texParameteri(M, i.TEXTURE_WRAP_T, i.CLAMP_TO_EDGE), (M === i.TEXTURE_3D || M === i.TEXTURE_2D_ARRAY) && i.texParameteri(M, i.TEXTURE_WRAP_R, i.CLAMP_TO_EDGE), (_.wrapS !== Nt || _.wrapT !== Nt) && console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping."), i.texParameteri(M, i.TEXTURE_MAG_FILTER, C(_.magFilter)), i.texParameteri(M, i.TEXTURE_MIN_FILTER, C(_.minFilter)), _.minFilter !== gt && _.minFilter !== Rt && console.warn("THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.")), _.compareFunction && (i.texParameteri(M, i.TEXTURE_COMPARE_MODE, i.COMPARE_REF_TO_TEXTURE), i.texParameteri(M, i.TEXTURE_COMPARE_FUNC, ce[_.compareFunction])), e.has("EXT_texture_filter_anisotropic") === !0) { + const $ = e.get("EXT_texture_filter_anisotropic"); + if (_.magFilter === gt || _.minFilter !== pr && _.minFilter !== _i || _.type === an && e.has("OES_texture_float_linear") === !1 || a === !1 && _.type === gi && e.has("OES_texture_half_float_linear") === !1) return; + (_.anisotropy > 1 || n.get(_).__currentAnisotropy) && (i.texParameterf(M, $.TEXTURE_MAX_ANISOTROPY_EXT, Math.min(_.anisotropy, r.getMaxAnisotropy())), n.get(_).__currentAnisotropy = _.anisotropy); + } + } + function j(M, _) { + let I = !1; + M.__webglInit === void 0 && (M.__webglInit = !0, _.addEventListener("dispose", A)); + const $ = _.source; + let K = p.get($); + K === void 0 && (K = {}, p.set($, K)); + const J = F(_); + if (J !== M.__cacheKey) { + K[J] === void 0 && (K[J] = { + texture: i.createTexture(), + usedTimes: 0 + }, o.memory.textures++, I = !0), K[J].usedTimes++; + const me = K[M.__cacheKey]; + me !== void 0 && (K[M.__cacheKey].usedTimes--, me.usedTimes === 0 && y(_)), M.__cacheKey = J, M.__webglTexture = K[J].texture; + } + return I; + } + function oe(M, _, I) { + let $ = i.TEXTURE_2D; + (_.isDataArrayTexture || _.isCompressedArrayTexture) && ($ = i.TEXTURE_2D_ARRAY), _.isData3DTexture && ($ = i.TEXTURE_3D); + const K = j(M, _), J = _.source; + t.bindTexture($, M.__webglTexture, i.TEXTURE0 + I); + const me = n.get(J); + if (J.version !== me.__version || K === !0) { + t.activeTexture(i.TEXTURE0 + I); + const ae = Ke.getPrimaries(Ke.workingColorSpace), he = _.colorSpace === Ct ? null : Ke.getPrimaries(_.colorSpace), ye = _.colorSpace === Ct || ae === he ? i.NONE : i.BROWSER_DEFAULT_WEBGL; + i.pixelStorei(i.UNPACK_FLIP_Y_WEBGL, _.flipY), i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL, _.premultiplyAlpha), i.pixelStorei(i.UNPACK_ALIGNMENT, _.unpackAlignment), i.pixelStorei(i.UNPACK_COLORSPACE_CONVERSION_WEBGL, ye); + const Fe = u(_) && f(_.image) === !1; + let ee = v(_.image, Fe, !1, r.maxTextureSize); + ee = be(_, ee); + const Ye = f(ee) || a, ze = s.convert(_.format, _.colorSpace); + let De = s.convert(_.type), Ee = R(_.internalFormat, ze, De, _.colorSpace, _.isVideoTexture); + H($, _, Ye); + let ue; + const T = _.mipmaps, ne = a && _.isVideoTexture !== !0 && Ee !== _o, xe = me.__version === void 0 || K === !0, fe = D(_, ee, Ye); + if (_.isDepthTexture) + Ee = i.DEPTH_COMPONENT, a ? _.type === an ? Ee = i.DEPTH_COMPONENT32F : _.type === sn ? Ee = i.DEPTH_COMPONENT24 : _.type === En ? Ee = i.DEPTH24_STENCIL8 : Ee = i.DEPTH_COMPONENT16 : _.type === an && console.error("WebGLRenderer: Floating point depth texture requires WebGL2."), _.format === yn && Ee === i.DEPTH_COMPONENT && _.type !== as && _.type !== sn && (console.warn("THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture."), _.type = sn, De = s.convert(_.type)), _.format === ti && Ee === i.DEPTH_COMPONENT && (Ee = i.DEPTH_STENCIL, _.type !== En && (console.warn("THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture."), _.type = En, De = s.convert(_.type))), xe && (ne ? t.texStorage2D(i.TEXTURE_2D, 1, Ee, ee.width, ee.height) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ee.width, ee.height, 0, ze, De, null)); + else if (_.isDataTexture) + if (T.length > 0 && Ye) { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, De, ue.data) : t.texImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ze, De, ue.data); + _.generateMipmaps = !1; + } else + ne ? (xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height), t.texSubImage2D(i.TEXTURE_2D, 0, 0, 0, ee.width, ee.height, ze, De, ee.data)) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ee.width, ee.height, 0, ze, De, ee.data); + else if (_.isCompressedTexture) + if (_.isCompressedArrayTexture) { + ne && xe && t.texStorage3D(i.TEXTURE_2D_ARRAY, fe, Ee, T[0].width, T[0].height, ee.depth); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], _.format !== Ft ? ze !== null ? ne ? t.compressedTexSubImage3D(i.TEXTURE_2D_ARRAY, te, 0, 0, 0, ue.width, ue.height, ee.depth, ze, ue.data, 0, 0) : t.compressedTexImage3D(i.TEXTURE_2D_ARRAY, te, Ee, ue.width, ue.height, ee.depth, 0, ue.data, 0, 0) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()") : ne ? t.texSubImage3D(i.TEXTURE_2D_ARRAY, te, 0, 0, 0, ue.width, ue.height, ee.depth, ze, De, ue.data) : t.texImage3D(i.TEXTURE_2D_ARRAY, te, Ee, ue.width, ue.height, ee.depth, 0, ze, De, ue.data); + } else { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], _.format !== Ft ? ze !== null ? ne ? t.compressedTexSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, ue.data) : t.compressedTexImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ue.data) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()") : ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ue.width, ue.height, ze, De, ue.data) : t.texImage2D(i.TEXTURE_2D, te, Ee, ue.width, ue.height, 0, ze, De, ue.data); + } + else if (_.isDataArrayTexture) + ne ? (xe && t.texStorage3D(i.TEXTURE_2D_ARRAY, fe, Ee, ee.width, ee.height, ee.depth), t.texSubImage3D(i.TEXTURE_2D_ARRAY, 0, 0, 0, 0, ee.width, ee.height, ee.depth, ze, De, ee.data)) : t.texImage3D(i.TEXTURE_2D_ARRAY, 0, Ee, ee.width, ee.height, ee.depth, 0, ze, De, ee.data); + else if (_.isData3DTexture) + ne ? (xe && t.texStorage3D(i.TEXTURE_3D, fe, Ee, ee.width, ee.height, ee.depth), t.texSubImage3D(i.TEXTURE_3D, 0, 0, 0, 0, ee.width, ee.height, ee.depth, ze, De, ee.data)) : t.texImage3D(i.TEXTURE_3D, 0, Ee, ee.width, ee.height, ee.depth, 0, ze, De, ee.data); + else if (_.isFramebufferTexture) { + if (xe) + if (ne) + t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height); + else { + let te = ee.width, w = ee.height; + for (let ie = 0; ie < fe; ie++) + t.texImage2D(i.TEXTURE_2D, ie, Ee, te, w, 0, ze, De, null), te >>= 1, w >>= 1; + } + } else if (T.length > 0 && Ye) { + ne && xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, T[0].width, T[0].height); + for (let te = 0, w = T.length; te < w; te++) + ue = T[te], ne ? t.texSubImage2D(i.TEXTURE_2D, te, 0, 0, ze, De, ue) : t.texImage2D(i.TEXTURE_2D, te, Ee, ze, De, ue); + _.generateMipmaps = !1; + } else + ne ? (xe && t.texStorage2D(i.TEXTURE_2D, fe, Ee, ee.width, ee.height), t.texSubImage2D(i.TEXTURE_2D, 0, 0, 0, ze, De, ee)) : t.texImage2D(i.TEXTURE_2D, 0, Ee, ze, De, ee); + b(_, Ye) && S($), me.__version = J.version, _.onUpdate && _.onUpdate(_); + } + M.__version = _.version; + } + function ve(M, _, I) { + if (_.image.length !== 6) return; + const $ = j(M, _), K = _.source; + t.bindTexture(i.TEXTURE_CUBE_MAP, M.__webglTexture, i.TEXTURE0 + I); + const J = n.get(K); + if (K.version !== J.__version || $ === !0) { + t.activeTexture(i.TEXTURE0 + I); + const me = Ke.getPrimaries(Ke.workingColorSpace), ae = _.colorSpace === Ct ? null : Ke.getPrimaries(_.colorSpace), he = _.colorSpace === Ct || me === ae ? i.NONE : i.BROWSER_DEFAULT_WEBGL; + i.pixelStorei(i.UNPACK_FLIP_Y_WEBGL, _.flipY), i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL, _.premultiplyAlpha), i.pixelStorei(i.UNPACK_ALIGNMENT, _.unpackAlignment), i.pixelStorei(i.UNPACK_COLORSPACE_CONVERSION_WEBGL, he); + const ye = _.isCompressedTexture || _.image[0].isCompressedTexture, Fe = _.image[0] && _.image[0].isDataTexture, ee = []; + for (let te = 0; te < 6; te++) + !ye && !Fe ? ee[te] = v(_.image[te], !1, !0, r.maxCubemapSize) : ee[te] = Fe ? _.image[te].image : _.image[te], ee[te] = be(_, ee[te]); + const Ye = ee[0], ze = f(Ye) || a, De = s.convert(_.format, _.colorSpace), Ee = s.convert(_.type), ue = R(_.internalFormat, De, Ee, _.colorSpace), T = a && _.isVideoTexture !== !0, ne = J.__version === void 0 || $ === !0; + let xe = D(_, Ye, ze); + H(i.TEXTURE_CUBE_MAP, _, ze); + let fe; + if (ye) { + T && ne && t.texStorage2D(i.TEXTURE_CUBE_MAP, xe, ue, Ye.width, Ye.height); + for (let te = 0; te < 6; te++) { + fe = ee[te].mipmaps; + for (let w = 0; w < fe.length; w++) { + const ie = fe[w]; + _.format !== Ft ? De !== null ? T ? t.compressedTexSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, 0, 0, ie.width, ie.height, De, ie.data) : t.compressedTexImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, ue, ie.width, ie.height, 0, ie.data) : console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()") : T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, 0, 0, ie.width, ie.height, De, Ee, ie.data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w, ue, ie.width, ie.height, 0, De, Ee, ie.data); + } + } + } else { + fe = _.mipmaps, T && ne && (fe.length > 0 && xe++, t.texStorage2D(i.TEXTURE_CUBE_MAP, xe, ue, ee[0].width, ee[0].height)); + for (let te = 0; te < 6; te++) + if (Fe) { + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, 0, 0, ee[te].width, ee[te].height, De, Ee, ee[te].data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, ue, ee[te].width, ee[te].height, 0, De, Ee, ee[te].data); + for (let w = 0; w < fe.length; w++) { + const le = fe[w].image[te].image; + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, 0, 0, le.width, le.height, De, Ee, le.data) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, ue, le.width, le.height, 0, De, Ee, le.data); + } + } else { + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, 0, 0, De, Ee, ee[te]) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, 0, ue, De, Ee, ee[te]); + for (let w = 0; w < fe.length; w++) { + const ie = fe[w]; + T ? t.texSubImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, 0, 0, De, Ee, ie.image[te]) : t.texImage2D(i.TEXTURE_CUBE_MAP_POSITIVE_X + te, w + 1, ue, De, Ee, ie.image[te]); + } + } + } + b(_, ze) && S(i.TEXTURE_CUBE_MAP), J.__version = K.version, _.onUpdate && _.onUpdate(_); + } + M.__version = _.version; + } + function _e(M, _, I, $, K, J) { + const me = s.convert(I.format, I.colorSpace), ae = s.convert(I.type), he = R(I.internalFormat, me, ae, I.colorSpace); + if (!n.get(_).__hasExternalTextures) { + const Fe = Math.max(1, _.width >> J), ee = Math.max(1, _.height >> J); + K === i.TEXTURE_3D || K === i.TEXTURE_2D_ARRAY ? t.texImage3D(K, J, he, Fe, ee, _.depth, 0, me, ae, null) : t.texImage2D(K, J, he, Fe, ee, 0, me, ae, null); + } + t.bindFramebuffer(i.FRAMEBUFFER, M), pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, $, K, n.get(I).__webglTexture, 0, Re(_)) : (K === i.TEXTURE_2D || K >= i.TEXTURE_CUBE_MAP_POSITIVE_X && K <= i.TEXTURE_CUBE_MAP_NEGATIVE_Z) && i.framebufferTexture2D(i.FRAMEBUFFER, $, K, n.get(I).__webglTexture, J), t.bindFramebuffer(i.FRAMEBUFFER, null); + } + function we(M, _, I) { + if (i.bindRenderbuffer(i.RENDERBUFFER, M), _.depthBuffer && !_.stencilBuffer) { + let $ = a === !0 ? i.DEPTH_COMPONENT24 : i.DEPTH_COMPONENT16; + if (I || pe(_)) { + const K = _.depthTexture; + K && K.isDepthTexture && (K.type === an ? $ = i.DEPTH_COMPONENT32F : K.type === sn && ($ = i.DEPTH_COMPONENT24)); + const J = Re(_); + pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, J, $, _.width, _.height) : i.renderbufferStorageMultisample(i.RENDERBUFFER, J, $, _.width, _.height); + } else + i.renderbufferStorage(i.RENDERBUFFER, $, _.width, _.height); + i.framebufferRenderbuffer(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.RENDERBUFFER, M); + } else if (_.depthBuffer && _.stencilBuffer) { + const $ = Re(_); + I && pe(_) === !1 ? i.renderbufferStorageMultisample(i.RENDERBUFFER, $, i.DEPTH24_STENCIL8, _.width, _.height) : pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, $, i.DEPTH24_STENCIL8, _.width, _.height) : i.renderbufferStorage(i.RENDERBUFFER, i.DEPTH_STENCIL, _.width, _.height), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.RENDERBUFFER, M); + } else { + const $ = _.isWebGLMultipleRenderTargets === !0 ? _.texture : [_.texture]; + for (let K = 0; K < $.length; K++) { + const J = $[K], me = s.convert(J.format, J.colorSpace), ae = s.convert(J.type), he = R(J.internalFormat, me, ae, J.colorSpace), ye = Re(_); + I && pe(_) === !1 ? i.renderbufferStorageMultisample(i.RENDERBUFFER, ye, he, _.width, _.height) : pe(_) ? l.renderbufferStorageMultisampleEXT(i.RENDERBUFFER, ye, he, _.width, _.height) : i.renderbufferStorage(i.RENDERBUFFER, he, _.width, _.height); + } + } + i.bindRenderbuffer(i.RENDERBUFFER, null); + } + function Ae(M, _) { + if (_ && _.isWebGLCubeRenderTarget) throw new Error("Depth Texture with cube render targets is not supported"); + if (t.bindFramebuffer(i.FRAMEBUFFER, M), !(_.depthTexture && _.depthTexture.isDepthTexture)) + throw new Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture"); + (!n.get(_.depthTexture).__webglTexture || _.depthTexture.image.width !== _.width || _.depthTexture.image.height !== _.height) && (_.depthTexture.image.width = _.width, _.depthTexture.image.height = _.height, _.depthTexture.needsUpdate = !0), V(_.depthTexture, 0); + const $ = n.get(_.depthTexture).__webglTexture, K = Re(_); + if (_.depthTexture.format === yn) + pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.TEXTURE_2D, $, 0, K) : i.framebufferTexture2D(i.FRAMEBUFFER, i.DEPTH_ATTACHMENT, i.TEXTURE_2D, $, 0); + else if (_.depthTexture.format === ti) + pe(_) ? l.framebufferTexture2DMultisampleEXT(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.TEXTURE_2D, $, 0, K) : i.framebufferTexture2D(i.FRAMEBUFFER, i.DEPTH_STENCIL_ATTACHMENT, i.TEXTURE_2D, $, 0); + else + throw new Error("Unknown depthTexture format"); + } + function ge(M) { + const _ = n.get(M), I = M.isWebGLCubeRenderTarget === !0; + if (M.depthTexture && !_.__autoAllocateDepthBuffer) { + if (I) throw new Error("target.depthTexture not supported in Cube render targets"); + Ae(_.__webglFramebuffer, M); + } else if (I) { + _.__webglDepthbuffer = []; + for (let $ = 0; $ < 6; $++) + t.bindFramebuffer(i.FRAMEBUFFER, _.__webglFramebuffer[$]), _.__webglDepthbuffer[$] = i.createRenderbuffer(), we(_.__webglDepthbuffer[$], M, !1); + } else + t.bindFramebuffer(i.FRAMEBUFFER, _.__webglFramebuffer), _.__webglDepthbuffer = i.createRenderbuffer(), we(_.__webglDepthbuffer, M, !1); + t.bindFramebuffer(i.FRAMEBUFFER, null); + } + function Pe(M, _, I) { + const $ = n.get(M); + _ !== void 0 && _e($.__webglFramebuffer, M, M.texture, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, 0), I !== void 0 && ge(M); + } + function N(M) { + const _ = M.texture, I = n.get(M), $ = n.get(_); + M.addEventListener("dispose", W), M.isWebGLMultipleRenderTargets !== !0 && ($.__webglTexture === void 0 && ($.__webglTexture = i.createTexture()), $.__version = _.version, o.memory.textures++); + const K = M.isWebGLCubeRenderTarget === !0, J = M.isWebGLMultipleRenderTargets === !0, me = f(M) || a; + if (K) { + I.__webglFramebuffer = []; + for (let ae = 0; ae < 6; ae++) + if (a && _.mipmaps && _.mipmaps.length > 0) { + I.__webglFramebuffer[ae] = []; + for (let he = 0; he < _.mipmaps.length; he++) + I.__webglFramebuffer[ae][he] = i.createFramebuffer(); + } else + I.__webglFramebuffer[ae] = i.createFramebuffer(); + } else { + if (a && _.mipmaps && _.mipmaps.length > 0) { + I.__webglFramebuffer = []; + for (let ae = 0; ae < _.mipmaps.length; ae++) + I.__webglFramebuffer[ae] = i.createFramebuffer(); + } else + I.__webglFramebuffer = i.createFramebuffer(); + if (J) + if (r.drawBuffers) { + const ae = M.texture; + for (let he = 0, ye = ae.length; he < ye; he++) { + const Fe = n.get(ae[he]); + Fe.__webglTexture === void 0 && (Fe.__webglTexture = i.createTexture(), o.memory.textures++); + } + } else + console.warn("THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension."); + if (a && M.samples > 0 && pe(M) === !1) { + const ae = J ? _ : [_]; + I.__webglMultisampledFramebuffer = i.createFramebuffer(), I.__webglColorRenderbuffer = [], t.bindFramebuffer(i.FRAMEBUFFER, I.__webglMultisampledFramebuffer); + for (let he = 0; he < ae.length; he++) { + const ye = ae[he]; + I.__webglColorRenderbuffer[he] = i.createRenderbuffer(), i.bindRenderbuffer(i.RENDERBUFFER, I.__webglColorRenderbuffer[he]); + const Fe = s.convert(ye.format, ye.colorSpace), ee = s.convert(ye.type), Ye = R(ye.internalFormat, Fe, ee, ye.colorSpace, M.isXRRenderTarget === !0), ze = Re(M); + i.renderbufferStorageMultisample(i.RENDERBUFFER, ze, Ye, M.width, M.height), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + he, i.RENDERBUFFER, I.__webglColorRenderbuffer[he]); + } + i.bindRenderbuffer(i.RENDERBUFFER, null), M.depthBuffer && (I.__webglDepthRenderbuffer = i.createRenderbuffer(), we(I.__webglDepthRenderbuffer, M, !0)), t.bindFramebuffer(i.FRAMEBUFFER, null); + } + } + if (K) { + t.bindTexture(i.TEXTURE_CUBE_MAP, $.__webglTexture), H(i.TEXTURE_CUBE_MAP, _, me); + for (let ae = 0; ae < 6; ae++) + if (a && _.mipmaps && _.mipmaps.length > 0) + for (let he = 0; he < _.mipmaps.length; he++) + _e(I.__webglFramebuffer[ae][he], M, _, i.COLOR_ATTACHMENT0, i.TEXTURE_CUBE_MAP_POSITIVE_X + ae, he); + else + _e(I.__webglFramebuffer[ae], M, _, i.COLOR_ATTACHMENT0, i.TEXTURE_CUBE_MAP_POSITIVE_X + ae, 0); + b(_, me) && S(i.TEXTURE_CUBE_MAP), t.unbindTexture(); + } else if (J) { + const ae = M.texture; + for (let he = 0, ye = ae.length; he < ye; he++) { + const Fe = ae[he], ee = n.get(Fe); + t.bindTexture(i.TEXTURE_2D, ee.__webglTexture), H(i.TEXTURE_2D, Fe, me), _e(I.__webglFramebuffer, M, Fe, i.COLOR_ATTACHMENT0 + he, i.TEXTURE_2D, 0), b(Fe, me) && S(i.TEXTURE_2D); + } + t.unbindTexture(); + } else { + let ae = i.TEXTURE_2D; + if ((M.isWebGL3DRenderTarget || M.isWebGLArrayRenderTarget) && (a ? ae = M.isWebGL3DRenderTarget ? i.TEXTURE_3D : i.TEXTURE_2D_ARRAY : console.error("THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.")), t.bindTexture(ae, $.__webglTexture), H(ae, _, me), a && _.mipmaps && _.mipmaps.length > 0) + for (let he = 0; he < _.mipmaps.length; he++) + _e(I.__webglFramebuffer[he], M, _, i.COLOR_ATTACHMENT0, ae, he); + else + _e(I.__webglFramebuffer, M, _, i.COLOR_ATTACHMENT0, ae, 0); + b(_, me) && S(ae), t.unbindTexture(); + } + M.depthBuffer && ge(M); + } + function rt(M) { + const _ = f(M) || a, I = M.isWebGLMultipleRenderTargets === !0 ? M.texture : [M.texture]; + for (let $ = 0, K = I.length; $ < K; $++) { + const J = I[$]; + if (b(J, _)) { + const me = M.isWebGLCubeRenderTarget ? i.TEXTURE_CUBE_MAP : i.TEXTURE_2D, ae = n.get(J).__webglTexture; + t.bindTexture(me, ae), S(me), t.unbindTexture(); + } + } + } + function Me(M) { + if (a && M.samples > 0 && pe(M) === !1) { + const _ = M.isWebGLMultipleRenderTargets ? M.texture : [M.texture], I = M.width, $ = M.height; + let K = i.COLOR_BUFFER_BIT; + const J = [], me = M.stencilBuffer ? i.DEPTH_STENCIL_ATTACHMENT : i.DEPTH_ATTACHMENT, ae = n.get(M), he = M.isWebGLMultipleRenderTargets === !0; + if (he) + for (let ye = 0; ye < _.length; ye++) + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglMultisampledFramebuffer), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.RENDERBUFFER, null), t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglFramebuffer), i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.TEXTURE_2D, null, 0); + t.bindFramebuffer(i.READ_FRAMEBUFFER, ae.__webglMultisampledFramebuffer), t.bindFramebuffer(i.DRAW_FRAMEBUFFER, ae.__webglFramebuffer); + for (let ye = 0; ye < _.length; ye++) { + J.push(i.COLOR_ATTACHMENT0 + ye), M.depthBuffer && J.push(me); + const Fe = ae.__ignoreDepthValues !== void 0 ? ae.__ignoreDepthValues : !1; + if (Fe === !1 && (M.depthBuffer && (K |= i.DEPTH_BUFFER_BIT), M.stencilBuffer && (K |= i.STENCIL_BUFFER_BIT)), he && i.framebufferRenderbuffer(i.READ_FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.RENDERBUFFER, ae.__webglColorRenderbuffer[ye]), Fe === !0 && (i.invalidateFramebuffer(i.READ_FRAMEBUFFER, [me]), i.invalidateFramebuffer(i.DRAW_FRAMEBUFFER, [me])), he) { + const ee = n.get(_[ye]).__webglTexture; + i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, ee, 0); + } + i.blitFramebuffer(0, 0, I, $, 0, 0, I, $, K, i.NEAREST), c && i.invalidateFramebuffer(i.READ_FRAMEBUFFER, J); + } + if (t.bindFramebuffer(i.READ_FRAMEBUFFER, null), t.bindFramebuffer(i.DRAW_FRAMEBUFFER, null), he) + for (let ye = 0; ye < _.length; ye++) { + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglMultisampledFramebuffer), i.framebufferRenderbuffer(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.RENDERBUFFER, ae.__webglColorRenderbuffer[ye]); + const Fe = n.get(_[ye]).__webglTexture; + t.bindFramebuffer(i.FRAMEBUFFER, ae.__webglFramebuffer), i.framebufferTexture2D(i.DRAW_FRAMEBUFFER, i.COLOR_ATTACHMENT0 + ye, i.TEXTURE_2D, Fe, 0); + } + t.bindFramebuffer(i.DRAW_FRAMEBUFFER, ae.__webglMultisampledFramebuffer); + } + } + function Re(M) { + return Math.min(r.maxSamples, M.samples); + } + function pe(M) { + const _ = n.get(M); + return a && M.samples > 0 && e.has("WEBGL_multisampled_render_to_texture") === !0 && _.__useRenderToTexture !== !1; + } + function je(M) { + const _ = o.render.frame; + h.get(M) !== _ && (h.set(M, _), M.update()); + } + function be(M, _) { + const I = M.colorSpace, $ = M.format, K = M.type; + return M.isCompressedTexture === !0 || M.isVideoTexture === !0 || M.format === ts || I !== $t && I !== Ct && (Ke.getTransfer(I) === Ze ? a === !1 ? e.has("EXT_sRGB") === !0 && $ === Ft ? (M.format = ts, M.minFilter = Rt, M.generateMipmaps = !1) : _ = So.sRGBToLinear(_) : ($ !== Ft || K !== cn) && console.warn("THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType.") : console.error("THREE.WebGLTextures: Unsupported texture color space:", I)), _; + } + this.allocateTextureUnit = L, this.resetTextureUnits = re, this.setTexture2D = V, this.setTexture2DArray = Y, this.setTexture3D = X, this.setTextureCube = k, this.rebindTextures = Pe, this.setupRenderTarget = N, this.updateRenderTargetMipmap = rt, this.updateMultisampleRenderTarget = Me, this.setupDepthRenderbuffer = ge, this.setupFrameBufferTexture = _e, this.useMultisampledRTT = pe; +} +function Yf(i, e, t) { + const n = t.isWebGL2; + function r(s, o = Ct) { + let a; + const l = Ke.getTransfer(o); + if (s === cn) return i.UNSIGNED_BYTE; + if (s === uo) return i.UNSIGNED_SHORT_4_4_4_4; + if (s === ho) return i.UNSIGNED_SHORT_5_5_5_1; + if (s === wl) return i.BYTE; + if (s === Rl) return i.SHORT; + if (s === as) return i.UNSIGNED_SHORT; + if (s === co) return i.INT; + if (s === sn) return i.UNSIGNED_INT; + if (s === an) return i.FLOAT; + if (s === gi) + return n ? i.HALF_FLOAT : (a = e.get("OES_texture_half_float"), a !== null ? a.HALF_FLOAT_OES : null); + if (s === Cl) return i.ALPHA; + if (s === Ft) return i.RGBA; + if (s === Ll) return i.LUMINANCE; + if (s === Pl) return i.LUMINANCE_ALPHA; + if (s === yn) return i.DEPTH_COMPONENT; + if (s === ti) return i.DEPTH_STENCIL; + if (s === ts) + return a = e.get("EXT_sRGB"), a !== null ? a.SRGB_ALPHA_EXT : null; + if (s === Dl) return i.RED; + if (s === fo) return i.RED_INTEGER; + if (s === Ul) return i.RG; + if (s === po) return i.RG_INTEGER; + if (s === mo) return i.RGBA_INTEGER; + if (s === mr || s === _r || s === gr || s === vr) + if (l === Ze) + if (a = e.get("WEBGL_compressed_texture_s3tc_srgb"), a !== null) { + if (s === mr) return a.COMPRESSED_SRGB_S3TC_DXT1_EXT; + if (s === _r) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT; + if (s === gr) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT; + if (s === vr) return a.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT; + } else + return null; + else if (a = e.get("WEBGL_compressed_texture_s3tc"), a !== null) { + if (s === mr) return a.COMPRESSED_RGB_S3TC_DXT1_EXT; + if (s === _r) return a.COMPRESSED_RGBA_S3TC_DXT1_EXT; + if (s === gr) return a.COMPRESSED_RGBA_S3TC_DXT3_EXT; + if (s === vr) return a.COMPRESSED_RGBA_S3TC_DXT5_EXT; + } else + return null; + if (s === Rs || s === Cs || s === Ls || s === Ps) + if (a = e.get("WEBGL_compressed_texture_pvrtc"), a !== null) { + if (s === Rs) return a.COMPRESSED_RGB_PVRTC_4BPPV1_IMG; + if (s === Cs) return a.COMPRESSED_RGB_PVRTC_2BPPV1_IMG; + if (s === Ls) return a.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG; + if (s === Ps) return a.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG; + } else + return null; + if (s === _o) + return a = e.get("WEBGL_compressed_texture_etc1"), a !== null ? a.COMPRESSED_RGB_ETC1_WEBGL : null; + if (s === Ds || s === Us) + if (a = e.get("WEBGL_compressed_texture_etc"), a !== null) { + if (s === Ds) return l === Ze ? a.COMPRESSED_SRGB8_ETC2 : a.COMPRESSED_RGB8_ETC2; + if (s === Us) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC : a.COMPRESSED_RGBA8_ETC2_EAC; + } else + return null; + if (s === Is || s === Ns || s === Fs || s === Os || s === Bs || s === zs || s === Gs || s === Hs || s === Vs || s === ks || s === Ws || s === Xs || s === qs || s === Ys) + if (a = e.get("WEBGL_compressed_texture_astc"), a !== null) { + if (s === Is) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR : a.COMPRESSED_RGBA_ASTC_4x4_KHR; + if (s === Ns) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR : a.COMPRESSED_RGBA_ASTC_5x4_KHR; + if (s === Fs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR : a.COMPRESSED_RGBA_ASTC_5x5_KHR; + if (s === Os) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR : a.COMPRESSED_RGBA_ASTC_6x5_KHR; + if (s === Bs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR : a.COMPRESSED_RGBA_ASTC_6x6_KHR; + if (s === zs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR : a.COMPRESSED_RGBA_ASTC_8x5_KHR; + if (s === Gs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR : a.COMPRESSED_RGBA_ASTC_8x6_KHR; + if (s === Hs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR : a.COMPRESSED_RGBA_ASTC_8x8_KHR; + if (s === Vs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR : a.COMPRESSED_RGBA_ASTC_10x5_KHR; + if (s === ks) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR : a.COMPRESSED_RGBA_ASTC_10x6_KHR; + if (s === Ws) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR : a.COMPRESSED_RGBA_ASTC_10x8_KHR; + if (s === Xs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR : a.COMPRESSED_RGBA_ASTC_10x10_KHR; + if (s === qs) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR : a.COMPRESSED_RGBA_ASTC_12x10_KHR; + if (s === Ys) return l === Ze ? a.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR : a.COMPRESSED_RGBA_ASTC_12x12_KHR; + } else + return null; + if (s === xr || s === js || s === Ks) + if (a = e.get("EXT_texture_compression_bptc"), a !== null) { + if (s === xr) return l === Ze ? a.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT : a.COMPRESSED_RGBA_BPTC_UNORM_EXT; + if (s === js) return a.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT; + if (s === Ks) return a.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT; + } else + return null; + if (s === Il || s === Zs || s === $s || s === Js) + if (a = e.get("EXT_texture_compression_rgtc"), a !== null) { + if (s === xr) return a.COMPRESSED_RED_RGTC1_EXT; + if (s === Zs) return a.COMPRESSED_SIGNED_RED_RGTC1_EXT; + if (s === $s) return a.COMPRESSED_RED_GREEN_RGTC2_EXT; + if (s === Js) return a.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT; + } else + return null; + return s === En ? n ? i.UNSIGNED_INT_24_8 : (a = e.get("WEBGL_depth_texture"), a !== null ? a.UNSIGNED_INT_24_8_WEBGL : null) : i[s] !== void 0 ? i[s] : null; + } + return { convert: r }; +} +class jf extends Tt { + constructor(e = []) { + super(), this.isArrayCamera = !0, this.cameras = e; + } +} +class qi extends dt { + constructor() { + super(), this.isGroup = !0, this.type = "Group"; + } +} +const Kf = { type: "move" }; +class kr { + constructor() { + this._targetRay = null, this._grip = null, this._hand = null; + } + getHandSpace() { + return this._hand === null && (this._hand = new qi(), this._hand.matrixAutoUpdate = !1, this._hand.visible = !1, this._hand.joints = {}, this._hand.inputState = { pinching: !1 }), this._hand; + } + getTargetRaySpace() { + return this._targetRay === null && (this._targetRay = new qi(), this._targetRay.matrixAutoUpdate = !1, this._targetRay.visible = !1, this._targetRay.hasLinearVelocity = !1, this._targetRay.linearVelocity = new P(), this._targetRay.hasAngularVelocity = !1, this._targetRay.angularVelocity = new P()), this._targetRay; + } + getGripSpace() { + return this._grip === null && (this._grip = new qi(), this._grip.matrixAutoUpdate = !1, this._grip.visible = !1, this._grip.hasLinearVelocity = !1, this._grip.linearVelocity = new P(), this._grip.hasAngularVelocity = !1, this._grip.angularVelocity = new P()), this._grip; + } + dispatchEvent(e) { + return this._targetRay !== null && this._targetRay.dispatchEvent(e), this._grip !== null && this._grip.dispatchEvent(e), this._hand !== null && this._hand.dispatchEvent(e), this; + } + connect(e) { + if (e && e.hand) { + const t = this._hand; + if (t) + for (const n of e.hand.values()) + this._getHandJoint(t, n); + } + return this.dispatchEvent({ type: "connected", data: e }), this; + } + disconnect(e) { + return this.dispatchEvent({ type: "disconnected", data: e }), this._targetRay !== null && (this._targetRay.visible = !1), this._grip !== null && (this._grip.visible = !1), this._hand !== null && (this._hand.visible = !1), this; + } + update(e, t, n) { + let r = null, s = null, o = null; + const a = this._targetRay, l = this._grip, c = this._hand; + if (e && t.session.visibilityState !== "visible-blurred") { + if (c && e.hand) { + o = !0; + for (const v of e.hand.values()) { + const f = t.getJointPose(v, n), u = this._getHandJoint(c, v); + f !== null && (u.matrix.fromArray(f.transform.matrix), u.matrix.decompose(u.position, u.rotation, u.scale), u.matrixWorldNeedsUpdate = !0, u.jointRadius = f.radius), u.visible = f !== null; + } + const h = c.joints["index-finger-tip"], d = c.joints["thumb-tip"], p = h.position.distanceTo(d.position), m = 0.02, g = 5e-3; + c.inputState.pinching && p > m + g ? (c.inputState.pinching = !1, this.dispatchEvent({ + type: "pinchend", + handedness: e.handedness, + target: this + })) : !c.inputState.pinching && p <= m - g && (c.inputState.pinching = !0, this.dispatchEvent({ + type: "pinchstart", + handedness: e.handedness, + target: this + })); + } else + l !== null && e.gripSpace && (s = t.getPose(e.gripSpace, n), s !== null && (l.matrix.fromArray(s.transform.matrix), l.matrix.decompose(l.position, l.rotation, l.scale), l.matrixWorldNeedsUpdate = !0, s.linearVelocity ? (l.hasLinearVelocity = !0, l.linearVelocity.copy(s.linearVelocity)) : l.hasLinearVelocity = !1, s.angularVelocity ? (l.hasAngularVelocity = !0, l.angularVelocity.copy(s.angularVelocity)) : l.hasAngularVelocity = !1)); + a !== null && (r = t.getPose(e.targetRaySpace, n), r === null && s !== null && (r = s), r !== null && (a.matrix.fromArray(r.transform.matrix), a.matrix.decompose(a.position, a.rotation, a.scale), a.matrixWorldNeedsUpdate = !0, r.linearVelocity ? (a.hasLinearVelocity = !0, a.linearVelocity.copy(r.linearVelocity)) : a.hasLinearVelocity = !1, r.angularVelocity ? (a.hasAngularVelocity = !0, a.angularVelocity.copy(r.angularVelocity)) : a.hasAngularVelocity = !1, this.dispatchEvent(Kf))); + } + return a !== null && (a.visible = r !== null), l !== null && (l.visible = s !== null), c !== null && (c.visible = o !== null), this; + } + // private method + _getHandJoint(e, t) { + if (e.joints[t.jointName] === void 0) { + const n = new qi(); + n.matrixAutoUpdate = !1, n.visible = !1, e.joints[t.jointName] = n, e.add(n); + } + return e.joints[t.jointName]; + } +} +class Zf extends Rn { + constructor(e, t) { + super(); + const n = this; + let r = null, s = 1, o = null, a = "local-floor", l = 1, c = null, h = null, d = null, p = null, m = null, g = null; + const v = t.getContextAttributes(); + let f = null, u = null; + const b = [], S = [], R = new Ie(); + let D = null; + const C = new Tt(); + C.layers.enable(1), C.viewport = new $e(); + const A = new Tt(); + A.layers.enable(2), A.viewport = new $e(); + const W = [C, A], x = new jf(); + x.layers.enable(1), x.layers.enable(2); + let y = null, z = null; + this.cameraAutoUpdate = !0, this.enabled = !1, this.isPresenting = !1, this.getController = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getTargetRaySpace(); + }, this.getControllerGrip = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getGripSpace(); + }, this.getHand = function(H) { + let j = b[H]; + return j === void 0 && (j = new kr(), b[H] = j), j.getHandSpace(); + }; + function Z(H) { + const j = S.indexOf(H.inputSource); + if (j === -1) + return; + const oe = b[j]; + oe !== void 0 && (oe.update(H.inputSource, H.frame, c || o), oe.dispatchEvent({ type: H.type, data: H.inputSource })); + } + function re() { + r.removeEventListener("select", Z), r.removeEventListener("selectstart", Z), r.removeEventListener("selectend", Z), r.removeEventListener("squeeze", Z), r.removeEventListener("squeezestart", Z), r.removeEventListener("squeezeend", Z), r.removeEventListener("end", re), r.removeEventListener("inputsourceschange", L); + for (let H = 0; H < b.length; H++) { + const j = S[H]; + j !== null && (S[H] = null, b[H].disconnect(j)); + } + y = null, z = null, e.setRenderTarget(f), m = null, p = null, d = null, r = null, u = null, ce.stop(), n.isPresenting = !1, e.setPixelRatio(D), e.setSize(R.width, R.height, !1), n.dispatchEvent({ type: "sessionend" }); + } + this.setFramebufferScaleFactor = function(H) { + s = H, n.isPresenting === !0 && console.warn("THREE.WebXRManager: Cannot change framebuffer scale while presenting."); + }, this.setReferenceSpaceType = function(H) { + a = H, n.isPresenting === !0 && console.warn("THREE.WebXRManager: Cannot change reference space type while presenting."); + }, this.getReferenceSpace = function() { + return c || o; + }, this.setReferenceSpace = function(H) { + c = H; + }, this.getBaseLayer = function() { + return p !== null ? p : m; + }, this.getBinding = function() { + return d; + }, this.getFrame = function() { + return g; + }, this.getSession = function() { + return r; + }, this.setSession = async function(H) { + if (r = H, r !== null) { + if (f = e.getRenderTarget(), r.addEventListener("select", Z), r.addEventListener("selectstart", Z), r.addEventListener("selectend", Z), r.addEventListener("squeeze", Z), r.addEventListener("squeezestart", Z), r.addEventListener("squeezeend", Z), r.addEventListener("end", re), r.addEventListener("inputsourceschange", L), v.xrCompatible !== !0 && await t.makeXRCompatible(), D = e.getPixelRatio(), e.getSize(R), r.renderState.layers === void 0 || e.capabilities.isWebGL2 === !1) { + const j = { + antialias: r.renderState.layers === void 0 ? v.antialias : !0, + alpha: !0, + depth: v.depth, + stencil: v.stencil, + framebufferScaleFactor: s + }; + m = new XRWebGLLayer(r, t, j), r.updateRenderState({ baseLayer: m }), e.setPixelRatio(1), e.setSize(m.framebufferWidth, m.framebufferHeight, !1), u = new bn( + m.framebufferWidth, + m.framebufferHeight, + { + format: Ft, + type: cn, + colorSpace: e.outputColorSpace, + stencilBuffer: v.stencil + } + ); + } else { + let j = null, oe = null, ve = null; + v.depth && (ve = v.stencil ? t.DEPTH24_STENCIL8 : t.DEPTH_COMPONENT24, j = v.stencil ? ti : yn, oe = v.stencil ? En : sn); + const _e = { + colorFormat: t.RGBA8, + depthFormat: ve, + scaleFactor: s + }; + d = new XRWebGLBinding(r, t), p = d.createProjectionLayer(_e), r.updateRenderState({ layers: [p] }), e.setPixelRatio(1), e.setSize(p.textureWidth, p.textureHeight, !1), u = new bn( + p.textureWidth, + p.textureHeight, + { + format: Ft, + type: cn, + depthTexture: new Io(p.textureWidth, p.textureHeight, oe, void 0, void 0, void 0, void 0, void 0, void 0, j), + stencilBuffer: v.stencil, + colorSpace: e.outputColorSpace, + samples: v.antialias ? 4 : 0 + } + ); + const we = e.properties.get(u); + we.__ignoreDepthValues = p.ignoreDepthValues; + } + u.isXRRenderTarget = !0, this.setFoveation(l), c = null, o = await r.requestReferenceSpace(a), ce.setContext(r), ce.start(), n.isPresenting = !0, n.dispatchEvent({ type: "sessionstart" }); + } + }, this.getEnvironmentBlendMode = function() { + if (r !== null) + return r.environmentBlendMode; + }; + function L(H) { + for (let j = 0; j < H.removed.length; j++) { + const oe = H.removed[j], ve = S.indexOf(oe); + ve >= 0 && (S[ve] = null, b[ve].disconnect(oe)); + } + for (let j = 0; j < H.added.length; j++) { + const oe = H.added[j]; + let ve = S.indexOf(oe); + if (ve === -1) { + for (let we = 0; we < b.length; we++) + if (we >= S.length) { + S.push(oe), ve = we; + break; + } else if (S[we] === null) { + S[we] = oe, ve = we; + break; + } + if (ve === -1) break; + } + const _e = b[ve]; + _e && _e.connect(oe); + } + } + const F = new P(), V = new P(); + function Y(H, j, oe) { + F.setFromMatrixPosition(j.matrixWorld), V.setFromMatrixPosition(oe.matrixWorld); + const ve = F.distanceTo(V), _e = j.projectionMatrix.elements, we = oe.projectionMatrix.elements, Ae = _e[14] / (_e[10] - 1), ge = _e[14] / (_e[10] + 1), Pe = (_e[9] + 1) / _e[5], N = (_e[9] - 1) / _e[5], rt = (_e[8] - 1) / _e[0], Me = (we[8] + 1) / we[0], Re = Ae * rt, pe = Ae * Me, je = ve / (-rt + Me), be = je * -rt; + j.matrixWorld.decompose(H.position, H.quaternion, H.scale), H.translateX(be), H.translateZ(je), H.matrixWorld.compose(H.position, H.quaternion, H.scale), H.matrixWorldInverse.copy(H.matrixWorld).invert(); + const M = Ae + je, _ = ge + je, I = Re - be, $ = pe + (ve - be), K = Pe * ge / _ * M, J = N * ge / _ * M; + H.projectionMatrix.makePerspective(I, $, K, J, M, _), H.projectionMatrixInverse.copy(H.projectionMatrix).invert(); + } + function X(H, j) { + j === null ? H.matrixWorld.copy(H.matrix) : H.matrixWorld.multiplyMatrices(j.matrixWorld, H.matrix), H.matrixWorldInverse.copy(H.matrixWorld).invert(); + } + this.updateCamera = function(H) { + if (r === null) return; + x.near = A.near = C.near = H.near, x.far = A.far = C.far = H.far, (y !== x.near || z !== x.far) && (r.updateRenderState({ + depthNear: x.near, + depthFar: x.far + }), y = x.near, z = x.far); + const j = H.parent, oe = x.cameras; + X(x, j); + for (let ve = 0; ve < oe.length; ve++) + X(oe[ve], j); + oe.length === 2 ? Y(x, C, A) : x.projectionMatrix.copy(C.projectionMatrix), k(H, x, j); + }; + function k(H, j, oe) { + oe === null ? H.matrix.copy(j.matrixWorld) : (H.matrix.copy(oe.matrixWorld), H.matrix.invert(), H.matrix.multiply(j.matrixWorld)), H.matrix.decompose(H.position, H.quaternion, H.scale), H.updateMatrixWorld(!0), H.projectionMatrix.copy(j.projectionMatrix), H.projectionMatrixInverse.copy(j.projectionMatrixInverse), H.isPerspectiveCamera && (H.fov = ns * 2 * Math.atan(1 / H.projectionMatrix.elements[5]), H.zoom = 1); + } + this.getCamera = function() { + return x; + }, this.getFoveation = function() { + if (!(p === null && m === null)) + return l; + }, this.setFoveation = function(H) { + l = H, p !== null && (p.fixedFoveation = H), m !== null && m.fixedFoveation !== void 0 && (m.fixedFoveation = H); + }; + let q = null; + function Q(H, j) { + if (h = j.getViewerPose(c || o), g = j, h !== null) { + const oe = h.views; + m !== null && (e.setRenderTargetFramebuffer(u, m.framebuffer), e.setRenderTarget(u)); + let ve = !1; + oe.length !== x.cameras.length && (x.cameras.length = 0, ve = !0); + for (let _e = 0; _e < oe.length; _e++) { + const we = oe[_e]; + let Ae = null; + if (m !== null) + Ae = m.getViewport(we); + else { + const Pe = d.getViewSubImage(p, we); + Ae = Pe.viewport, _e === 0 && (e.setRenderTargetTextures( + u, + Pe.colorTexture, + p.ignoreDepthValues ? void 0 : Pe.depthStencilTexture + ), e.setRenderTarget(u)); + } + let ge = W[_e]; + ge === void 0 && (ge = new Tt(), ge.layers.enable(_e), ge.viewport = new $e(), W[_e] = ge), ge.matrix.fromArray(we.transform.matrix), ge.matrix.decompose(ge.position, ge.quaternion, ge.scale), ge.projectionMatrix.fromArray(we.projectionMatrix), ge.projectionMatrixInverse.copy(ge.projectionMatrix).invert(), ge.viewport.set(Ae.x, Ae.y, Ae.width, Ae.height), _e === 0 && (x.matrix.copy(ge.matrix), x.matrix.decompose(x.position, x.quaternion, x.scale)), ve === !0 && x.cameras.push(ge); + } + } + for (let oe = 0; oe < b.length; oe++) { + const ve = S[oe], _e = b[oe]; + ve !== null && _e !== void 0 && _e.update(ve, j, c || o); + } + q && q(H, j), j.detectedPlanes && n.dispatchEvent({ type: "planesdetected", data: j }), g = null; + } + const ce = new Do(); + ce.setAnimationLoop(Q), this.setAnimationLoop = function(H) { + q = H; + }, this.dispose = function() { + }; + } +} +function $f(i, e) { + function t(f, u) { + f.matrixAutoUpdate === !0 && f.updateMatrix(), u.value.copy(f.matrix); + } + function n(f, u) { + u.color.getRGB(f.fogColor.value, Co(i)), u.isFog ? (f.fogNear.value = u.near, f.fogFar.value = u.far) : u.isFogExp2 && (f.fogDensity.value = u.density); + } + function r(f, u, b, S, R) { + u.isMeshBasicMaterial || u.isMeshLambertMaterial ? s(f, u) : u.isMeshToonMaterial ? (s(f, u), d(f, u)) : u.isMeshPhongMaterial ? (s(f, u), h(f, u)) : u.isMeshStandardMaterial ? (s(f, u), p(f, u), u.isMeshPhysicalMaterial && m(f, u, R)) : u.isMeshMatcapMaterial ? (s(f, u), g(f, u)) : u.isMeshDepthMaterial ? s(f, u) : u.isMeshDistanceMaterial ? (s(f, u), v(f, u)) : u.isMeshNormalMaterial ? s(f, u) : u.isLineBasicMaterial ? (o(f, u), u.isLineDashedMaterial && a(f, u)) : u.isPointsMaterial ? l(f, u, b, S) : u.isSpriteMaterial ? c(f, u) : u.isShadowMaterial ? (f.color.value.copy(u.color), f.opacity.value = u.opacity) : u.isShaderMaterial && (u.uniformsNeedUpdate = !1); + } + function s(f, u) { + f.opacity.value = u.opacity, u.color && f.diffuse.value.copy(u.color), u.emissive && f.emissive.value.copy(u.emissive).multiplyScalar(u.emissiveIntensity), u.map && (f.map.value = u.map, t(u.map, f.mapTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.bumpMap && (f.bumpMap.value = u.bumpMap, t(u.bumpMap, f.bumpMapTransform), f.bumpScale.value = u.bumpScale, u.side === Mt && (f.bumpScale.value *= -1)), u.normalMap && (f.normalMap.value = u.normalMap, t(u.normalMap, f.normalMapTransform), f.normalScale.value.copy(u.normalScale), u.side === Mt && f.normalScale.value.negate()), u.displacementMap && (f.displacementMap.value = u.displacementMap, t(u.displacementMap, f.displacementMapTransform), f.displacementScale.value = u.displacementScale, f.displacementBias.value = u.displacementBias), u.emissiveMap && (f.emissiveMap.value = u.emissiveMap, t(u.emissiveMap, f.emissiveMapTransform)), u.specularMap && (f.specularMap.value = u.specularMap, t(u.specularMap, f.specularMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + const b = e.get(u).envMap; + if (b && (f.envMap.value = b, f.flipEnvMap.value = b.isCubeTexture && b.isRenderTargetTexture === !1 ? -1 : 1, f.reflectivity.value = u.reflectivity, f.ior.value = u.ior, f.refractionRatio.value = u.refractionRatio), u.lightMap) { + f.lightMap.value = u.lightMap; + const S = i._useLegacyLights === !0 ? Math.PI : 1; + f.lightMapIntensity.value = u.lightMapIntensity * S, t(u.lightMap, f.lightMapTransform); + } + u.aoMap && (f.aoMap.value = u.aoMap, f.aoMapIntensity.value = u.aoMapIntensity, t(u.aoMap, f.aoMapTransform)); + } + function o(f, u) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, u.map && (f.map.value = u.map, t(u.map, f.mapTransform)); + } + function a(f, u) { + f.dashSize.value = u.dashSize, f.totalSize.value = u.dashSize + u.gapSize, f.scale.value = u.scale; + } + function l(f, u, b, S) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, f.size.value = u.size * b, f.scale.value = S * 0.5, u.map && (f.map.value = u.map, t(u.map, f.uvTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + } + function c(f, u) { + f.diffuse.value.copy(u.color), f.opacity.value = u.opacity, f.rotation.value = u.rotation, u.map && (f.map.value = u.map, t(u.map, f.mapTransform)), u.alphaMap && (f.alphaMap.value = u.alphaMap, t(u.alphaMap, f.alphaMapTransform)), u.alphaTest > 0 && (f.alphaTest.value = u.alphaTest); + } + function h(f, u) { + f.specular.value.copy(u.specular), f.shininess.value = Math.max(u.shininess, 1e-4); + } + function d(f, u) { + u.gradientMap && (f.gradientMap.value = u.gradientMap); + } + function p(f, u) { + f.metalness.value = u.metalness, u.metalnessMap && (f.metalnessMap.value = u.metalnessMap, t(u.metalnessMap, f.metalnessMapTransform)), f.roughness.value = u.roughness, u.roughnessMap && (f.roughnessMap.value = u.roughnessMap, t(u.roughnessMap, f.roughnessMapTransform)), e.get(u).envMap && (f.envMapIntensity.value = u.envMapIntensity); + } + function m(f, u, b) { + f.ior.value = u.ior, u.sheen > 0 && (f.sheenColor.value.copy(u.sheenColor).multiplyScalar(u.sheen), f.sheenRoughness.value = u.sheenRoughness, u.sheenColorMap && (f.sheenColorMap.value = u.sheenColorMap, t(u.sheenColorMap, f.sheenColorMapTransform)), u.sheenRoughnessMap && (f.sheenRoughnessMap.value = u.sheenRoughnessMap, t(u.sheenRoughnessMap, f.sheenRoughnessMapTransform))), u.clearcoat > 0 && (f.clearcoat.value = u.clearcoat, f.clearcoatRoughness.value = u.clearcoatRoughness, u.clearcoatMap && (f.clearcoatMap.value = u.clearcoatMap, t(u.clearcoatMap, f.clearcoatMapTransform)), u.clearcoatRoughnessMap && (f.clearcoatRoughnessMap.value = u.clearcoatRoughnessMap, t(u.clearcoatRoughnessMap, f.clearcoatRoughnessMapTransform)), u.clearcoatNormalMap && (f.clearcoatNormalMap.value = u.clearcoatNormalMap, t(u.clearcoatNormalMap, f.clearcoatNormalMapTransform), f.clearcoatNormalScale.value.copy(u.clearcoatNormalScale), u.side === Mt && f.clearcoatNormalScale.value.negate())), u.iridescence > 0 && (f.iridescence.value = u.iridescence, f.iridescenceIOR.value = u.iridescenceIOR, f.iridescenceThicknessMinimum.value = u.iridescenceThicknessRange[0], f.iridescenceThicknessMaximum.value = u.iridescenceThicknessRange[1], u.iridescenceMap && (f.iridescenceMap.value = u.iridescenceMap, t(u.iridescenceMap, f.iridescenceMapTransform)), u.iridescenceThicknessMap && (f.iridescenceThicknessMap.value = u.iridescenceThicknessMap, t(u.iridescenceThicknessMap, f.iridescenceThicknessMapTransform))), u.transmission > 0 && (f.transmission.value = u.transmission, f.transmissionSamplerMap.value = b.texture, f.transmissionSamplerSize.value.set(b.width, b.height), u.transmissionMap && (f.transmissionMap.value = u.transmissionMap, t(u.transmissionMap, f.transmissionMapTransform)), f.thickness.value = u.thickness, u.thicknessMap && (f.thicknessMap.value = u.thicknessMap, t(u.thicknessMap, f.thicknessMapTransform)), f.attenuationDistance.value = u.attenuationDistance, f.attenuationColor.value.copy(u.attenuationColor)), u.anisotropy > 0 && (f.anisotropyVector.value.set(u.anisotropy * Math.cos(u.anisotropyRotation), u.anisotropy * Math.sin(u.anisotropyRotation)), u.anisotropyMap && (f.anisotropyMap.value = u.anisotropyMap, t(u.anisotropyMap, f.anisotropyMapTransform))), f.specularIntensity.value = u.specularIntensity, f.specularColor.value.copy(u.specularColor), u.specularColorMap && (f.specularColorMap.value = u.specularColorMap, t(u.specularColorMap, f.specularColorMapTransform)), u.specularIntensityMap && (f.specularIntensityMap.value = u.specularIntensityMap, t(u.specularIntensityMap, f.specularIntensityMapTransform)); + } + function g(f, u) { + u.matcap && (f.matcap.value = u.matcap); + } + function v(f, u) { + const b = e.get(u).light; + f.referencePosition.value.setFromMatrixPosition(b.matrixWorld), f.nearDistance.value = b.shadow.camera.near, f.farDistance.value = b.shadow.camera.far; + } + return { + refreshFogUniforms: n, + refreshMaterialUniforms: r + }; +} +function Jf(i, e, t, n) { + let r = {}, s = {}, o = []; + const a = t.isWebGL2 ? i.getParameter(i.MAX_UNIFORM_BUFFER_BINDINGS) : 0; + function l(b, S) { + const R = S.program; + n.uniformBlockBinding(b, R); + } + function c(b, S) { + let R = r[b.id]; + R === void 0 && (g(b), R = h(b), r[b.id] = R, b.addEventListener("dispose", f)); + const D = S.program; + n.updateUBOMapping(b, D); + const C = e.render.frame; + s[b.id] !== C && (p(b), s[b.id] = C); + } + function h(b) { + const S = d(); + b.__bindingPointIndex = S; + const R = i.createBuffer(), D = b.__size, C = b.usage; + return i.bindBuffer(i.UNIFORM_BUFFER, R), i.bufferData(i.UNIFORM_BUFFER, D, C), i.bindBuffer(i.UNIFORM_BUFFER, null), i.bindBufferBase(i.UNIFORM_BUFFER, S, R), R; + } + function d() { + for (let b = 0; b < a; b++) + if (o.indexOf(b) === -1) + return o.push(b), b; + return console.error("THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached."), 0; + } + function p(b) { + const S = r[b.id], R = b.uniforms, D = b.__cache; + i.bindBuffer(i.UNIFORM_BUFFER, S); + for (let C = 0, A = R.length; C < A; C++) { + const W = Array.isArray(R[C]) ? R[C] : [R[C]]; + for (let x = 0, y = W.length; x < y; x++) { + const z = W[x]; + if (m(z, C, x, D) === !0) { + const Z = z.__offset, re = Array.isArray(z.value) ? z.value : [z.value]; + let L = 0; + for (let F = 0; F < re.length; F++) { + const V = re[F], Y = v(V); + typeof V == "number" || typeof V == "boolean" ? (z.__data[0] = V, i.bufferSubData(i.UNIFORM_BUFFER, Z + L, z.__data)) : V.isMatrix3 ? (z.__data[0] = V.elements[0], z.__data[1] = V.elements[1], z.__data[2] = V.elements[2], z.__data[3] = 0, z.__data[4] = V.elements[3], z.__data[5] = V.elements[4], z.__data[6] = V.elements[5], z.__data[7] = 0, z.__data[8] = V.elements[6], z.__data[9] = V.elements[7], z.__data[10] = V.elements[8], z.__data[11] = 0) : (V.toArray(z.__data, L), L += Y.storage / Float32Array.BYTES_PER_ELEMENT); + } + i.bufferSubData(i.UNIFORM_BUFFER, Z, z.__data); + } + } + } + i.bindBuffer(i.UNIFORM_BUFFER, null); + } + function m(b, S, R, D) { + const C = b.value, A = S + "_" + R; + if (D[A] === void 0) + return typeof C == "number" || typeof C == "boolean" ? D[A] = C : D[A] = C.clone(), !0; + { + const W = D[A]; + if (typeof C == "number" || typeof C == "boolean") { + if (W !== C) + return D[A] = C, !0; + } else if (W.equals(C) === !1) + return W.copy(C), !0; + } + return !1; + } + function g(b) { + const S = b.uniforms; + let R = 0; + const D = 16; + for (let A = 0, W = S.length; A < W; A++) { + const x = Array.isArray(S[A]) ? S[A] : [S[A]]; + for (let y = 0, z = x.length; y < z; y++) { + const Z = x[y], re = Array.isArray(Z.value) ? Z.value : [Z.value]; + for (let L = 0, F = re.length; L < F; L++) { + const V = re[L], Y = v(V), X = R % D; + X !== 0 && D - X < Y.boundary && (R += D - X), Z.__data = new Float32Array(Y.storage / Float32Array.BYTES_PER_ELEMENT), Z.__offset = R, R += Y.storage; + } + } + } + const C = R % D; + return C > 0 && (R += D - C), b.__size = R, b.__cache = {}, this; + } + function v(b) { + const S = { + boundary: 0, + // bytes + storage: 0 + // bytes + }; + return typeof b == "number" || typeof b == "boolean" ? (S.boundary = 4, S.storage = 4) : b.isVector2 ? (S.boundary = 8, S.storage = 8) : b.isVector3 || b.isColor ? (S.boundary = 16, S.storage = 12) : b.isVector4 ? (S.boundary = 16, S.storage = 16) : b.isMatrix3 ? (S.boundary = 48, S.storage = 48) : b.isMatrix4 ? (S.boundary = 64, S.storage = 64) : b.isTexture ? console.warn("THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group.") : console.warn("THREE.WebGLRenderer: Unsupported uniform value type.", b), S; + } + function f(b) { + const S = b.target; + S.removeEventListener("dispose", f); + const R = o.indexOf(S.__bindingPointIndex); + o.splice(R, 1), i.deleteBuffer(r[S.id]), delete r[S.id], delete s[S.id]; + } + function u() { + for (const b in r) + i.deleteBuffer(r[b]); + o = [], r = {}, s = {}; + } + return { + bind: l, + update: c, + dispose: u + }; +} +class Go { + constructor(e = {}) { + const { + canvas: t = Yl(), + context: n = null, + depth: r = !0, + stencil: s = !0, + alpha: o = !1, + antialias: a = !1, + premultipliedAlpha: l = !0, + preserveDrawingBuffer: c = !1, + powerPreference: h = "default", + failIfMajorPerformanceCaveat: d = !1 + } = e; + this.isWebGLRenderer = !0; + let p; + n !== null ? p = n.getContextAttributes().alpha : p = o; + const m = new Uint32Array(4), g = new Int32Array(4); + let v = null, f = null; + const u = [], b = []; + this.domElement = t, this.debug = { + /** + * Enables error checking and reporting when shader programs are being compiled + * @type {boolean} + */ + checkShaderErrors: !0, + /** + * Callback for custom error reporting. + * @type {?Function} + */ + onShaderError: null + }, this.autoClear = !0, this.autoClearColor = !0, this.autoClearDepth = !0, this.autoClearStencil = !0, this.sortObjects = !0, this.clippingPlanes = [], this.localClippingEnabled = !1, this._outputColorSpace = ht, this._useLegacyLights = !1, this.toneMapping = ln, this.toneMappingExposure = 1; + const S = this; + let R = !1, D = 0, C = 0, A = null, W = -1, x = null; + const y = new $e(), z = new $e(); + let Z = null; + const re = new Xe(0); + let L = 0, F = t.width, V = t.height, Y = 1, X = null, k = null; + const q = new $e(0, 0, F, V), Q = new $e(0, 0, F, V); + let ce = !1; + const H = new cs(); + let j = !1, oe = !1, ve = null; + const _e = new Qe(), we = new Ie(), Ae = new P(), ge = { background: null, fog: null, environment: null, overrideMaterial: null, isScene: !0 }; + function Pe() { + return A === null ? Y : 1; + } + let N = n; + function rt(E, U) { + for (let B = 0; B < E.length; B++) { + const G = E[B], O = t.getContext(G, U); + if (O !== null) return O; + } + return null; + } + try { + const E = { + alpha: !0, + depth: r, + stencil: s, + antialias: a, + premultipliedAlpha: l, + preserveDrawingBuffer: c, + powerPreference: h, + failIfMajorPerformanceCaveat: d + }; + if ("setAttribute" in t && t.setAttribute("data-engine", `three.js r${ss}`), t.addEventListener("webglcontextlost", te, !1), t.addEventListener("webglcontextrestored", w, !1), t.addEventListener("webglcontextcreationerror", ie, !1), N === null) { + const U = ["webgl2", "webgl", "experimental-webgl"]; + if (S.isWebGL1Renderer === !0 && U.shift(), N = rt(U, E), N === null) + throw rt(U) ? new Error("Error creating WebGL context with your selected attributes.") : new Error("Error creating WebGL context."); + } + typeof WebGLRenderingContext < "u" && N instanceof WebGLRenderingContext && console.warn("THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163."), N.getShaderPrecisionFormat === void 0 && (N.getShaderPrecisionFormat = function() { + return { rangeMin: 1, rangeMax: 1, precision: 1 }; + }); + } catch (E) { + throw console.error("THREE.WebGLRenderer: " + E.message), E; + } + let Me, Re, pe, je, be, M, _, I, $, K, J, me, ae, he, ye, Fe, ee, Ye, ze, De, Ee, ue, T, ne; + function xe() { + Me = new od(N), Re = new td(N, Me, e), Me.init(Re), ue = new Yf(N, Me, Re), pe = new Xf(N, Me, Re), je = new ud(N), be = new Pf(), M = new qf(N, Me, pe, be, Re, ue, je), _ = new id(S), I = new ad(S), $ = new vc(N, Re), T = new Qh(N, Me, $, Re), K = new ld(N, $, je, T), J = new pd(N, K, $, je), ze = new fd(N, Re, M), Fe = new nd(be), me = new Lf(S, _, I, Me, Re, T, Fe), ae = new $f(S, be), he = new Uf(), ye = new zf(Me, Re), Ye = new Jh(S, _, I, pe, J, p, l), ee = new Wf(S, J, Re), ne = new Jf(N, je, Re, pe), De = new ed(N, Me, je, Re), Ee = new cd(N, Me, je, Re), je.programs = me.programs, S.capabilities = Re, S.extensions = Me, S.properties = be, S.renderLists = he, S.shadowMap = ee, S.state = pe, S.info = je; + } + xe(); + const fe = new Zf(S, N); + this.xr = fe, this.getContext = function() { + return N; + }, this.getContextAttributes = function() { + return N.getContextAttributes(); + }, this.forceContextLoss = function() { + const E = Me.get("WEBGL_lose_context"); + E && E.loseContext(); + }, this.forceContextRestore = function() { + const E = Me.get("WEBGL_lose_context"); + E && E.restoreContext(); + }, this.getPixelRatio = function() { + return Y; + }, this.setPixelRatio = function(E) { + E !== void 0 && (Y = E, this.setSize(F, V, !1)); + }, this.getSize = function(E) { + return E.set(F, V); + }, this.setSize = function(E, U, B = !0) { + if (fe.isPresenting) { + console.warn("THREE.WebGLRenderer: Can't change size while VR device is presenting."); + return; + } + F = E, V = U, t.width = Math.floor(E * Y), t.height = Math.floor(U * Y), B === !0 && (t.style.width = E + "px", t.style.height = U + "px"), this.setViewport(0, 0, E, U); + }, this.getDrawingBufferSize = function(E) { + return E.set(F * Y, V * Y).floor(); + }, this.setDrawingBufferSize = function(E, U, B) { + F = E, V = U, Y = B, t.width = Math.floor(E * B), t.height = Math.floor(U * B), this.setViewport(0, 0, E, U); + }, this.getCurrentViewport = function(E) { + return E.copy(y); + }, this.getViewport = function(E) { + return E.copy(q); + }, this.setViewport = function(E, U, B, G) { + E.isVector4 ? q.set(E.x, E.y, E.z, E.w) : q.set(E, U, B, G), pe.viewport(y.copy(q).multiplyScalar(Y).floor()); + }, this.getScissor = function(E) { + return E.copy(Q); + }, this.setScissor = function(E, U, B, G) { + E.isVector4 ? Q.set(E.x, E.y, E.z, E.w) : Q.set(E, U, B, G), pe.scissor(z.copy(Q).multiplyScalar(Y).floor()); + }, this.getScissorTest = function() { + return ce; + }, this.setScissorTest = function(E) { + pe.setScissorTest(ce = E); + }, this.setOpaqueSort = function(E) { + X = E; + }, this.setTransparentSort = function(E) { + k = E; + }, this.getClearColor = function(E) { + return E.copy(Ye.getClearColor()); + }, this.setClearColor = function() { + Ye.setClearColor.apply(Ye, arguments); + }, this.getClearAlpha = function() { + return Ye.getClearAlpha(); + }, this.setClearAlpha = function() { + Ye.setClearAlpha.apply(Ye, arguments); + }, this.clear = function(E = !0, U = !0, B = !0) { + let G = 0; + if (E) { + let O = !1; + if (A !== null) { + const de = A.texture.format; + O = de === mo || de === po || de === fo; + } + if (O) { + const de = A.texture.type, Se = de === cn || de === sn || de === as || de === En || de === uo || de === ho, Le = Ye.getClearColor(), Ue = Ye.getClearAlpha(), Ge = Le.r, Ne = Le.g, Oe = Le.b; + Se ? (m[0] = Ge, m[1] = Ne, m[2] = Oe, m[3] = Ue, N.clearBufferuiv(N.COLOR, 0, m)) : (g[0] = Ge, g[1] = Ne, g[2] = Oe, g[3] = Ue, N.clearBufferiv(N.COLOR, 0, g)); + } else + G |= N.COLOR_BUFFER_BIT; + } + U && (G |= N.DEPTH_BUFFER_BIT), B && (G |= N.STENCIL_BUFFER_BIT, this.state.buffers.stencil.setMask(4294967295)), N.clear(G); + }, this.clearColor = function() { + this.clear(!0, !1, !1); + }, this.clearDepth = function() { + this.clear(!1, !0, !1); + }, this.clearStencil = function() { + this.clear(!1, !1, !0); + }, this.dispose = function() { + t.removeEventListener("webglcontextlost", te, !1), t.removeEventListener("webglcontextrestored", w, !1), t.removeEventListener("webglcontextcreationerror", ie, !1), he.dispose(), ye.dispose(), be.dispose(), _.dispose(), I.dispose(), J.dispose(), T.dispose(), ne.dispose(), me.dispose(), fe.dispose(), fe.removeEventListener("sessionstart", nt), fe.removeEventListener("sessionend", qe), ve && (ve.dispose(), ve = null), st.stop(); + }; + function te(E) { + E.preventDefault(), console.log("THREE.WebGLRenderer: Context Lost."), R = !0; + } + function w() { + console.log("THREE.WebGLRenderer: Context Restored."), R = !1; + const E = je.autoReset, U = ee.enabled, B = ee.autoUpdate, G = ee.needsUpdate, O = ee.type; + xe(), je.autoReset = E, ee.enabled = U, ee.autoUpdate = B, ee.needsUpdate = G, ee.type = O; + } + function ie(E) { + console.error("THREE.WebGLRenderer: A WebGL context could not be created. Reason: ", E.statusMessage); + } + function le(E) { + const U = E.target; + U.removeEventListener("dispose", le), Ce(U); + } + function Ce(E) { + Te(E), be.remove(E); + } + function Te(E) { + const U = be.get(E).programs; + U !== void 0 && (U.forEach(function(B) { + me.releaseProgram(B); + }), E.isShaderMaterial && me.releaseShaderCache(E)); + } + this.renderBufferDirect = function(E, U, B, G, O, de) { + U === null && (U = ge); + const Se = O.isMesh && O.matrixWorld.determinant() < 0, Le = ko(E, U, B, G, O); + pe.setMaterial(G, Se); + let Ue = B.index, Ge = 1; + if (G.wireframe === !0) { + if (Ue = K.getWireframeAttribute(B), Ue === void 0) return; + Ge = 2; + } + const Ne = B.drawRange, Oe = B.attributes.position; + let it = Ne.start * Ge, St = (Ne.start + Ne.count) * Ge; + de !== null && (it = Math.max(it, de.start * Ge), St = Math.min(St, (de.start + de.count) * Ge)), Ue !== null ? (it = Math.max(it, 0), St = Math.min(St, Ue.count)) : Oe != null && (it = Math.max(it, 0), St = Math.min(St, Oe.count)); + const ct = St - it; + if (ct < 0 || ct === 1 / 0) return; + T.setup(O, G, Le, B, Ue); + let Vt, Je = De; + if (Ue !== null && (Vt = $.get(Ue), Je = Ee, Je.setIndex(Vt)), O.isMesh) + G.wireframe === !0 ? (pe.setLineWidth(G.wireframeLinewidth * Pe()), Je.setMode(N.LINES)) : Je.setMode(N.TRIANGLES); + else if (O.isLine) { + let He = G.linewidth; + He === void 0 && (He = 1), pe.setLineWidth(He * Pe()), O.isLineSegments ? Je.setMode(N.LINES) : O.isLineLoop ? Je.setMode(N.LINE_LOOP) : Je.setMode(N.LINE_STRIP); + } else O.isPoints ? Je.setMode(N.POINTS) : O.isSprite && Je.setMode(N.TRIANGLES); + if (O.isBatchedMesh) + Je.renderMultiDraw(O._multiDrawStarts, O._multiDrawCounts, O._multiDrawCount); + else if (O.isInstancedMesh) + Je.renderInstances(it, ct, O.count); + else if (B.isInstancedBufferGeometry) { + const He = B._maxInstanceCount !== void 0 ? B._maxInstanceCount : 1 / 0, lr = Math.min(B.instanceCount, He); + Je.renderInstances(it, ct, lr); + } else + Je.render(it, ct); + }; + function ke(E, U, B) { + E.transparent === !0 && E.side === Kt && E.forceSinglePass === !1 ? (E.side = Mt, E.needsUpdate = !0, Ei(E, U, B), E.side = un, E.needsUpdate = !0, Ei(E, U, B), E.side = Kt) : Ei(E, U, B); + } + this.compile = function(E, U, B = null) { + B === null && (B = E), f = ye.get(B), f.init(), b.push(f), B.traverseVisible(function(O) { + O.isLight && O.layers.test(U.layers) && (f.pushLight(O), O.castShadow && f.pushShadow(O)); + }), E !== B && E.traverseVisible(function(O) { + O.isLight && O.layers.test(U.layers) && (f.pushLight(O), O.castShadow && f.pushShadow(O)); + }), f.setupLights(S._useLegacyLights); + const G = /* @__PURE__ */ new Set(); + return E.traverse(function(O) { + const de = O.material; + if (de) + if (Array.isArray(de)) + for (let Se = 0; Se < de.length; Se++) { + const Le = de[Se]; + ke(Le, B, O), G.add(Le); + } + else + ke(de, B, O), G.add(de); + }), b.pop(), f = null, G; + }, this.compileAsync = function(E, U, B = null) { + const G = this.compile(E, U, B); + return new Promise((O) => { + function de() { + if (G.forEach(function(Se) { + be.get(Se).currentProgram.isReady() && G.delete(Se); + }), G.size === 0) { + O(E); + return; + } + setTimeout(de, 10); + } + Me.get("KHR_parallel_shader_compile") !== null ? de() : setTimeout(de, 10); + }); + }; + let We = null; + function et(E) { + We && We(E); + } + function nt() { + st.stop(); + } + function qe() { + st.start(); + } + const st = new Do(); + st.setAnimationLoop(et), typeof self < "u" && st.setContext(self), this.setAnimationLoop = function(E) { + We = E, fe.setAnimationLoop(E), E === null ? st.stop() : st.start(); + }, fe.addEventListener("sessionstart", nt), fe.addEventListener("sessionend", qe), this.render = function(E, U) { + if (U !== void 0 && U.isCamera !== !0) { + console.error("THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera."); + return; + } + if (R === !0) return; + E.matrixWorldAutoUpdate === !0 && E.updateMatrixWorld(), U.parent === null && U.matrixWorldAutoUpdate === !0 && U.updateMatrixWorld(), fe.enabled === !0 && fe.isPresenting === !0 && (fe.cameraAutoUpdate === !0 && fe.updateCamera(U), U = fe.getCamera()), E.isScene === !0 && E.onBeforeRender(S, E, U, A), f = ye.get(E, b.length), f.init(), b.push(f), _e.multiplyMatrices(U.projectionMatrix, U.matrixWorldInverse), H.setFromProjectionMatrix(_e), oe = this.localClippingEnabled, j = Fe.init(this.clippingPlanes, oe), v = he.get(E, u.length), v.init(), u.push(v), zt(E, U, 0, S.sortObjects), v.finish(), S.sortObjects === !0 && v.sort(X, k), this.info.render.frame++, j === !0 && Fe.beginShadows(); + const B = f.state.shadowsArray; + if (ee.render(B, E, U), j === !0 && Fe.endShadows(), this.info.autoReset === !0 && this.info.reset(), Ye.render(v, E), f.setupLights(S._useLegacyLights), U.isArrayCamera) { + const G = U.cameras; + for (let O = 0, de = G.length; O < de; O++) { + const Se = G[O]; + ps(v, E, Se, Se.viewport); + } + } else + ps(v, E, U); + A !== null && (M.updateMultisampleRenderTarget(A), M.updateRenderTargetMipmap(A)), E.isScene === !0 && E.onAfterRender(S, E, U), T.resetDefaultState(), W = -1, x = null, b.pop(), b.length > 0 ? f = b[b.length - 1] : f = null, u.pop(), u.length > 0 ? v = u[u.length - 1] : v = null; + }; + function zt(E, U, B, G) { + if (E.visible === !1) return; + if (E.layers.test(U.layers)) { + if (E.isGroup) + B = E.renderOrder; + else if (E.isLOD) + E.autoUpdate === !0 && E.update(U); + else if (E.isLight) + f.pushLight(E), E.castShadow && f.pushShadow(E); + else if (E.isSprite) { + if (!E.frustumCulled || H.intersectsSprite(E)) { + G && Ae.setFromMatrixPosition(E.matrixWorld).applyMatrix4(_e); + const Se = J.update(E), Le = E.material; + Le.visible && v.push(E, Se, Le, B, Ae.z, null); + } + } else if ((E.isMesh || E.isLine || E.isPoints) && (!E.frustumCulled || H.intersectsObject(E))) { + const Se = J.update(E), Le = E.material; + if (G && (E.boundingSphere !== void 0 ? (E.boundingSphere === null && E.computeBoundingSphere(), Ae.copy(E.boundingSphere.center)) : (Se.boundingSphere === null && Se.computeBoundingSphere(), Ae.copy(Se.boundingSphere.center)), Ae.applyMatrix4(E.matrixWorld).applyMatrix4(_e)), Array.isArray(Le)) { + const Ue = Se.groups; + for (let Ge = 0, Ne = Ue.length; Ge < Ne; Ge++) { + const Oe = Ue[Ge], it = Le[Oe.materialIndex]; + it && it.visible && v.push(E, Se, it, B, Ae.z, Oe); + } + } else Le.visible && v.push(E, Se, Le, B, Ae.z, null); + } + } + const de = E.children; + for (let Se = 0, Le = de.length; Se < Le; Se++) + zt(de[Se], U, B, G); + } + function ps(E, U, B, G) { + const O = E.opaque, de = E.transmissive, Se = E.transparent; + f.setupLightsView(B), j === !0 && Fe.setGlobalState(S.clippingPlanes, B), de.length > 0 && Vo(O, de, U, B), G && pe.viewport(y.copy(G)), O.length > 0 && Si(O, U, B), de.length > 0 && Si(de, U, B), Se.length > 0 && Si(Se, U, B), pe.buffers.depth.setTest(!0), pe.buffers.depth.setMask(!0), pe.buffers.color.setMask(!0), pe.setPolygonOffset(!1); + } + function Vo(E, U, B, G) { + if ((B.isScene === !0 ? B.overrideMaterial : null) !== null) + return; + const de = Re.isWebGL2; + ve === null && (ve = new bn(1, 1, { + generateMipmaps: !0, + type: Me.has("EXT_color_buffer_half_float") ? gi : cn, + minFilter: _i, + samples: de ? 4 : 0 + })), S.getDrawingBufferSize(we), de ? ve.setSize(we.x, we.y) : ve.setSize(is(we.x), is(we.y)); + const Se = S.getRenderTarget(); + S.setRenderTarget(ve), S.getClearColor(re), L = S.getClearAlpha(), L < 1 && S.setClearColor(16777215, 0.5), S.clear(); + const Le = S.toneMapping; + S.toneMapping = ln, Si(E, B, G), M.updateMultisampleRenderTarget(ve), M.updateRenderTargetMipmap(ve); + let Ue = !1; + for (let Ge = 0, Ne = U.length; Ge < Ne; Ge++) { + const Oe = U[Ge], it = Oe.object, St = Oe.geometry, ct = Oe.material, Vt = Oe.group; + if (ct.side === Kt && it.layers.test(G.layers)) { + const Je = ct.side; + ct.side = Mt, ct.needsUpdate = !0, ms(it, B, G, St, ct, Vt), ct.side = Je, ct.needsUpdate = !0, Ue = !0; + } + } + Ue === !0 && (M.updateMultisampleRenderTarget(ve), M.updateRenderTargetMipmap(ve)), S.setRenderTarget(Se), S.setClearColor(re, L), S.toneMapping = Le; + } + function Si(E, U, B) { + const G = U.isScene === !0 ? U.overrideMaterial : null; + for (let O = 0, de = E.length; O < de; O++) { + const Se = E[O], Le = Se.object, Ue = Se.geometry, Ge = G === null ? Se.material : G, Ne = Se.group; + Le.layers.test(B.layers) && ms(Le, U, B, Ue, Ge, Ne); + } + } + function ms(E, U, B, G, O, de) { + E.onBeforeRender(S, U, B, G, O, de), E.modelViewMatrix.multiplyMatrices(B.matrixWorldInverse, E.matrixWorld), E.normalMatrix.getNormalMatrix(E.modelViewMatrix), O.onBeforeRender(S, U, B, G, E, de), O.transparent === !0 && O.side === Kt && O.forceSinglePass === !1 ? (O.side = Mt, O.needsUpdate = !0, S.renderBufferDirect(B, U, G, O, E, de), O.side = un, O.needsUpdate = !0, S.renderBufferDirect(B, U, G, O, E, de), O.side = Kt) : S.renderBufferDirect(B, U, G, O, E, de), E.onAfterRender(S, U, B, G, O, de); + } + function Ei(E, U, B) { + U.isScene !== !0 && (U = ge); + const G = be.get(E), O = f.state.lights, de = f.state.shadowsArray, Se = O.state.version, Le = me.getParameters(E, O.state, de, U, B), Ue = me.getProgramCacheKey(Le); + let Ge = G.programs; + G.environment = E.isMeshStandardMaterial ? U.environment : null, G.fog = U.fog, G.envMap = (E.isMeshStandardMaterial ? I : _).get(E.envMap || G.environment), Ge === void 0 && (E.addEventListener("dispose", le), Ge = /* @__PURE__ */ new Map(), G.programs = Ge); + let Ne = Ge.get(Ue); + if (Ne !== void 0) { + if (G.currentProgram === Ne && G.lightsStateVersion === Se) + return gs(E, Le), Ne; + } else + Le.uniforms = me.getUniforms(E), E.onBuild(B, Le, S), E.onBeforeCompile(Le, S), Ne = me.acquireProgram(Le, Ue), Ge.set(Ue, Ne), G.uniforms = Le.uniforms; + const Oe = G.uniforms; + return (!E.isShaderMaterial && !E.isRawShaderMaterial || E.clipping === !0) && (Oe.clippingPlanes = Fe.uniform), gs(E, Le), G.needsLights = Xo(E), G.lightsStateVersion = Se, G.needsLights && (Oe.ambientLightColor.value = O.state.ambient, Oe.lightProbe.value = O.state.probe, Oe.directionalLights.value = O.state.directional, Oe.directionalLightShadows.value = O.state.directionalShadow, Oe.spotLights.value = O.state.spot, Oe.spotLightShadows.value = O.state.spotShadow, Oe.rectAreaLights.value = O.state.rectArea, Oe.ltc_1.value = O.state.rectAreaLTC1, Oe.ltc_2.value = O.state.rectAreaLTC2, Oe.pointLights.value = O.state.point, Oe.pointLightShadows.value = O.state.pointShadow, Oe.hemisphereLights.value = O.state.hemi, Oe.directionalShadowMap.value = O.state.directionalShadowMap, Oe.directionalShadowMatrix.value = O.state.directionalShadowMatrix, Oe.spotShadowMap.value = O.state.spotShadowMap, Oe.spotLightMatrix.value = O.state.spotLightMatrix, Oe.spotLightMap.value = O.state.spotLightMap, Oe.pointShadowMap.value = O.state.pointShadowMap, Oe.pointShadowMatrix.value = O.state.pointShadowMatrix), G.currentProgram = Ne, G.uniformsList = null, Ne; + } + function _s(E) { + if (E.uniformsList === null) { + const U = E.currentProgram.getUniforms(); + E.uniformsList = Zi.seqWithValue(U.seq, E.uniforms); + } + return E.uniformsList; + } + function gs(E, U) { + const B = be.get(E); + B.outputColorSpace = U.outputColorSpace, B.batching = U.batching, B.instancing = U.instancing, B.instancingColor = U.instancingColor, B.skinning = U.skinning, B.morphTargets = U.morphTargets, B.morphNormals = U.morphNormals, B.morphColors = U.morphColors, B.morphTargetsCount = U.morphTargetsCount, B.numClippingPlanes = U.numClippingPlanes, B.numIntersection = U.numClipIntersection, B.vertexAlphas = U.vertexAlphas, B.vertexTangents = U.vertexTangents, B.toneMapping = U.toneMapping; + } + function ko(E, U, B, G, O) { + U.isScene !== !0 && (U = ge), M.resetTextureUnits(); + const de = U.fog, Se = G.isMeshStandardMaterial ? U.environment : null, Le = A === null ? S.outputColorSpace : A.isXRRenderTarget === !0 ? A.texture.colorSpace : $t, Ue = (G.isMeshStandardMaterial ? I : _).get(G.envMap || Se), Ge = G.vertexColors === !0 && !!B.attributes.color && B.attributes.color.itemSize === 4, Ne = !!B.attributes.tangent && (!!G.normalMap || G.anisotropy > 0), Oe = !!B.morphAttributes.position, it = !!B.morphAttributes.normal, St = !!B.morphAttributes.color; + let ct = ln; + G.toneMapped && (A === null || A.isXRRenderTarget === !0) && (ct = S.toneMapping); + const Vt = B.morphAttributes.position || B.morphAttributes.normal || B.morphAttributes.color, Je = Vt !== void 0 ? Vt.length : 0, He = be.get(G), lr = f.state.lights; + if (j === !0 && (oe === !0 || E !== x)) { + const At = E === x && G.id === W; + Fe.setState(G, E, At); + } + let tt = !1; + G.version === He.__version ? (He.needsLights && He.lightsStateVersion !== lr.state.version || He.outputColorSpace !== Le || O.isBatchedMesh && He.batching === !1 || !O.isBatchedMesh && He.batching === !0 || O.isInstancedMesh && He.instancing === !1 || !O.isInstancedMesh && He.instancing === !0 || O.isSkinnedMesh && He.skinning === !1 || !O.isSkinnedMesh && He.skinning === !0 || O.isInstancedMesh && He.instancingColor === !0 && O.instanceColor === null || O.isInstancedMesh && He.instancingColor === !1 && O.instanceColor !== null || He.envMap !== Ue || G.fog === !0 && He.fog !== de || He.numClippingPlanes !== void 0 && (He.numClippingPlanes !== Fe.numPlanes || He.numIntersection !== Fe.numIntersection) || He.vertexAlphas !== Ge || He.vertexTangents !== Ne || He.morphTargets !== Oe || He.morphNormals !== it || He.morphColors !== St || He.toneMapping !== ct || Re.isWebGL2 === !0 && He.morphTargetsCount !== Je) && (tt = !0) : (tt = !0, He.__version = G.version); + let dn = He.currentProgram; + tt === !0 && (dn = Ei(G, U, O)); + let vs = !1, si = !1, cr = !1; + const ft = dn.getUniforms(), fn = He.uniforms; + if (pe.useProgram(dn.program) && (vs = !0, si = !0, cr = !0), G.id !== W && (W = G.id, si = !0), vs || x !== E) { + ft.setValue(N, "projectionMatrix", E.projectionMatrix), ft.setValue(N, "viewMatrix", E.matrixWorldInverse); + const At = ft.map.cameraPosition; + At !== void 0 && At.setValue(N, Ae.setFromMatrixPosition(E.matrixWorld)), Re.logarithmicDepthBuffer && ft.setValue( + N, + "logDepthBufFC", + 2 / (Math.log(E.far + 1) / Math.LN2) + ), (G.isMeshPhongMaterial || G.isMeshToonMaterial || G.isMeshLambertMaterial || G.isMeshBasicMaterial || G.isMeshStandardMaterial || G.isShaderMaterial) && ft.setValue(N, "isOrthographic", E.isOrthographicCamera === !0), x !== E && (x = E, si = !0, cr = !0); + } + if (O.isSkinnedMesh) { + ft.setOptional(N, O, "bindMatrix"), ft.setOptional(N, O, "bindMatrixInverse"); + const At = O.skeleton; + At && (Re.floatVertexTextures ? (At.boneTexture === null && At.computeBoneTexture(), ft.setValue(N, "boneTexture", At.boneTexture, M)) : console.warn("THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required.")); + } + O.isBatchedMesh && (ft.setOptional(N, O, "batchingTexture"), ft.setValue(N, "batchingTexture", O._matricesTexture, M)); + const ur = B.morphAttributes; + if ((ur.position !== void 0 || ur.normal !== void 0 || ur.color !== void 0 && Re.isWebGL2 === !0) && ze.update(O, B, dn), (si || He.receiveShadow !== O.receiveShadow) && (He.receiveShadow = O.receiveShadow, ft.setValue(N, "receiveShadow", O.receiveShadow)), G.isMeshGouraudMaterial && G.envMap !== null && (fn.envMap.value = Ue, fn.flipEnvMap.value = Ue.isCubeTexture && Ue.isRenderTargetTexture === !1 ? -1 : 1), si && (ft.setValue(N, "toneMappingExposure", S.toneMappingExposure), He.needsLights && Wo(fn, cr), de && G.fog === !0 && ae.refreshFogUniforms(fn, de), ae.refreshMaterialUniforms(fn, G, Y, V, ve), Zi.upload(N, _s(He), fn, M)), G.isShaderMaterial && G.uniformsNeedUpdate === !0 && (Zi.upload(N, _s(He), fn, M), G.uniformsNeedUpdate = !1), G.isSpriteMaterial && ft.setValue(N, "center", O.center), ft.setValue(N, "modelViewMatrix", O.modelViewMatrix), ft.setValue(N, "normalMatrix", O.normalMatrix), ft.setValue(N, "modelMatrix", O.matrixWorld), G.isShaderMaterial || G.isRawShaderMaterial) { + const At = G.uniformsGroups; + for (let hr = 0, qo = At.length; hr < qo; hr++) + if (Re.isWebGL2) { + const xs = At[hr]; + ne.update(xs, dn), ne.bind(xs, dn); + } else + console.warn("THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2."); + } + return dn; + } + function Wo(E, U) { + E.ambientLightColor.needsUpdate = U, E.lightProbe.needsUpdate = U, E.directionalLights.needsUpdate = U, E.directionalLightShadows.needsUpdate = U, E.pointLights.needsUpdate = U, E.pointLightShadows.needsUpdate = U, E.spotLights.needsUpdate = U, E.spotLightShadows.needsUpdate = U, E.rectAreaLights.needsUpdate = U, E.hemisphereLights.needsUpdate = U; + } + function Xo(E) { + return E.isMeshLambertMaterial || E.isMeshToonMaterial || E.isMeshPhongMaterial || E.isMeshStandardMaterial || E.isShadowMaterial || E.isShaderMaterial && E.lights === !0; + } + this.getActiveCubeFace = function() { + return D; + }, this.getActiveMipmapLevel = function() { + return C; + }, this.getRenderTarget = function() { + return A; + }, this.setRenderTargetTextures = function(E, U, B) { + be.get(E.texture).__webglTexture = U, be.get(E.depthTexture).__webglTexture = B; + const G = be.get(E); + G.__hasExternalTextures = !0, G.__hasExternalTextures && (G.__autoAllocateDepthBuffer = B === void 0, G.__autoAllocateDepthBuffer || Me.has("WEBGL_multisampled_render_to_texture") === !0 && (console.warn("THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided"), G.__useRenderToTexture = !1)); + }, this.setRenderTargetFramebuffer = function(E, U) { + const B = be.get(E); + B.__webglFramebuffer = U, B.__useDefaultFramebuffer = U === void 0; + }, this.setRenderTarget = function(E, U = 0, B = 0) { + A = E, D = U, C = B; + let G = !0, O = null, de = !1, Se = !1; + if (E) { + const Ue = be.get(E); + Ue.__useDefaultFramebuffer !== void 0 ? (pe.bindFramebuffer(N.FRAMEBUFFER, null), G = !1) : Ue.__webglFramebuffer === void 0 ? M.setupRenderTarget(E) : Ue.__hasExternalTextures && M.rebindTextures(E, be.get(E.texture).__webglTexture, be.get(E.depthTexture).__webglTexture); + const Ge = E.texture; + (Ge.isData3DTexture || Ge.isDataArrayTexture || Ge.isCompressedArrayTexture) && (Se = !0); + const Ne = be.get(E).__webglFramebuffer; + E.isWebGLCubeRenderTarget ? (Array.isArray(Ne[U]) ? O = Ne[U][B] : O = Ne[U], de = !0) : Re.isWebGL2 && E.samples > 0 && M.useMultisampledRTT(E) === !1 ? O = be.get(E).__webglMultisampledFramebuffer : Array.isArray(Ne) ? O = Ne[B] : O = Ne, y.copy(E.viewport), z.copy(E.scissor), Z = E.scissorTest; + } else + y.copy(q).multiplyScalar(Y).floor(), z.copy(Q).multiplyScalar(Y).floor(), Z = ce; + if (pe.bindFramebuffer(N.FRAMEBUFFER, O) && Re.drawBuffers && G && pe.drawBuffers(E, O), pe.viewport(y), pe.scissor(z), pe.setScissorTest(Z), de) { + const Ue = be.get(E.texture); + N.framebufferTexture2D(N.FRAMEBUFFER, N.COLOR_ATTACHMENT0, N.TEXTURE_CUBE_MAP_POSITIVE_X + U, Ue.__webglTexture, B); + } else if (Se) { + const Ue = be.get(E.texture), Ge = U || 0; + N.framebufferTextureLayer(N.FRAMEBUFFER, N.COLOR_ATTACHMENT0, Ue.__webglTexture, B || 0, Ge); + } + W = -1; + }, this.readRenderTargetPixels = function(E, U, B, G, O, de, Se) { + if (!(E && E.isWebGLRenderTarget)) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget."); + return; + } + let Le = be.get(E).__webglFramebuffer; + if (E.isWebGLCubeRenderTarget && Se !== void 0 && (Le = Le[Se]), Le) { + pe.bindFramebuffer(N.FRAMEBUFFER, Le); + try { + const Ue = E.texture, Ge = Ue.format, Ne = Ue.type; + if (Ge !== Ft && ue.convert(Ge) !== N.getParameter(N.IMPLEMENTATION_COLOR_READ_FORMAT)) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format."); + return; + } + const Oe = Ne === gi && (Me.has("EXT_color_buffer_half_float") || Re.isWebGL2 && Me.has("EXT_color_buffer_float")); + if (Ne !== cn && ue.convert(Ne) !== N.getParameter(N.IMPLEMENTATION_COLOR_READ_TYPE) && // Edge and Chrome Mac < 52 (#9513) + !(Ne === an && (Re.isWebGL2 || Me.has("OES_texture_float") || Me.has("WEBGL_color_buffer_float"))) && // Chrome Mac >= 52 and Firefox + !Oe) { + console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type."); + return; + } + U >= 0 && U <= E.width - G && B >= 0 && B <= E.height - O && N.readPixels(U, B, G, O, ue.convert(Ge), ue.convert(Ne), de); + } finally { + const Ue = A !== null ? be.get(A).__webglFramebuffer : null; + pe.bindFramebuffer(N.FRAMEBUFFER, Ue); + } + } + }, this.copyFramebufferToTexture = function(E, U, B = 0) { + const G = Math.pow(2, -B), O = Math.floor(U.image.width * G), de = Math.floor(U.image.height * G); + M.setTexture2D(U, 0), N.copyTexSubImage2D(N.TEXTURE_2D, B, 0, 0, E.x, E.y, O, de), pe.unbindTexture(); + }, this.copyTextureToTexture = function(E, U, B, G = 0) { + const O = U.image.width, de = U.image.height, Se = ue.convert(B.format), Le = ue.convert(B.type); + M.setTexture2D(B, 0), N.pixelStorei(N.UNPACK_FLIP_Y_WEBGL, B.flipY), N.pixelStorei(N.UNPACK_PREMULTIPLY_ALPHA_WEBGL, B.premultiplyAlpha), N.pixelStorei(N.UNPACK_ALIGNMENT, B.unpackAlignment), U.isDataTexture ? N.texSubImage2D(N.TEXTURE_2D, G, E.x, E.y, O, de, Se, Le, U.image.data) : U.isCompressedTexture ? N.compressedTexSubImage2D(N.TEXTURE_2D, G, E.x, E.y, U.mipmaps[0].width, U.mipmaps[0].height, Se, U.mipmaps[0].data) : N.texSubImage2D(N.TEXTURE_2D, G, E.x, E.y, Se, Le, U.image), G === 0 && B.generateMipmaps && N.generateMipmap(N.TEXTURE_2D), pe.unbindTexture(); + }, this.copyTextureToTexture3D = function(E, U, B, G, O = 0) { + if (S.isWebGL1Renderer) { + console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2."); + return; + } + const de = E.max.x - E.min.x + 1, Se = E.max.y - E.min.y + 1, Le = E.max.z - E.min.z + 1, Ue = ue.convert(G.format), Ge = ue.convert(G.type); + let Ne; + if (G.isData3DTexture) + M.setTexture3D(G, 0), Ne = N.TEXTURE_3D; + else if (G.isDataArrayTexture || G.isCompressedArrayTexture) + M.setTexture2DArray(G, 0), Ne = N.TEXTURE_2D_ARRAY; + else { + console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray."); + return; + } + N.pixelStorei(N.UNPACK_FLIP_Y_WEBGL, G.flipY), N.pixelStorei(N.UNPACK_PREMULTIPLY_ALPHA_WEBGL, G.premultiplyAlpha), N.pixelStorei(N.UNPACK_ALIGNMENT, G.unpackAlignment); + const Oe = N.getParameter(N.UNPACK_ROW_LENGTH), it = N.getParameter(N.UNPACK_IMAGE_HEIGHT), St = N.getParameter(N.UNPACK_SKIP_PIXELS), ct = N.getParameter(N.UNPACK_SKIP_ROWS), Vt = N.getParameter(N.UNPACK_SKIP_IMAGES), Je = B.isCompressedTexture ? B.mipmaps[O] : B.image; + N.pixelStorei(N.UNPACK_ROW_LENGTH, Je.width), N.pixelStorei(N.UNPACK_IMAGE_HEIGHT, Je.height), N.pixelStorei(N.UNPACK_SKIP_PIXELS, E.min.x), N.pixelStorei(N.UNPACK_SKIP_ROWS, E.min.y), N.pixelStorei(N.UNPACK_SKIP_IMAGES, E.min.z), B.isDataTexture || B.isData3DTexture ? N.texSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Ge, Je.data) : B.isCompressedArrayTexture ? (console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture."), N.compressedTexSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Je.data)) : N.texSubImage3D(Ne, O, U.x, U.y, U.z, de, Se, Le, Ue, Ge, Je), N.pixelStorei(N.UNPACK_ROW_LENGTH, Oe), N.pixelStorei(N.UNPACK_IMAGE_HEIGHT, it), N.pixelStorei(N.UNPACK_SKIP_PIXELS, St), N.pixelStorei(N.UNPACK_SKIP_ROWS, ct), N.pixelStorei(N.UNPACK_SKIP_IMAGES, Vt), O === 0 && G.generateMipmaps && N.generateMipmap(Ne), pe.unbindTexture(); + }, this.initTexture = function(E) { + E.isCubeTexture ? M.setTextureCube(E, 0) : E.isData3DTexture ? M.setTexture3D(E, 0) : E.isDataArrayTexture || E.isCompressedArrayTexture ? M.setTexture2DArray(E, 0) : M.setTexture2D(E, 0), pe.unbindTexture(); + }, this.resetState = function() { + D = 0, C = 0, A = null, pe.reset(), T.reset(); + }, typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe", { detail: this })); + } + get coordinateSystem() { + return Zt; + } + get outputColorSpace() { + return this._outputColorSpace; + } + set outputColorSpace(e) { + this._outputColorSpace = e; + const t = this.getContext(); + t.drawingBufferColorSpace = e === os ? "display-p3" : "srgb", t.unpackColorSpace = Ke.workingColorSpace === sr ? "display-p3" : "srgb"; + } + get outputEncoding() { + return console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."), this.outputColorSpace === ht ? Tn : go; + } + set outputEncoding(e) { + console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."), this.outputColorSpace = e === Tn ? ht : $t; + } + get useLegacyLights() { + return console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."), this._useLegacyLights; + } + set useLegacyLights(e) { + console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."), this._useLegacyLights = e; + } +} +class Qf extends Go { +} +Qf.prototype.isWebGL1Renderer = !0; +class ir { + constructor(e, t = 25e-5) { + this.isFogExp2 = !0, this.name = "", this.color = new Xe(e), this.density = t; + } + clone() { + return new ir(this.color, this.density); + } + toJSON() { + return { + type: "FogExp2", + name: this.name, + color: this.color.getHex(), + density: this.density + }; + } +} +class Ha extends dt { + constructor() { + super(), this.isScene = !0, this.type = "Scene", this.background = null, this.environment = null, this.fog = null, this.backgroundBlurriness = 0, this.backgroundIntensity = 1, this.overrideMaterial = null, typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe", { detail: this })); + } + copy(e, t) { + return super.copy(e, t), e.background !== null && (this.background = e.background.clone()), e.environment !== null && (this.environment = e.environment.clone()), e.fog !== null && (this.fog = e.fog.clone()), this.backgroundBlurriness = e.backgroundBlurriness, this.backgroundIntensity = e.backgroundIntensity, e.overrideMaterial !== null && (this.overrideMaterial = e.overrideMaterial.clone()), this.matrixAutoUpdate = e.matrixAutoUpdate, this; + } + toJSON(e) { + const t = super.toJSON(e); + return this.fog !== null && (t.object.fog = this.fog.toJSON()), this.backgroundBlurriness > 0 && (t.object.backgroundBlurriness = this.backgroundBlurriness), this.backgroundIntensity !== 1 && (t.object.backgroundIntensity = this.backgroundIntensity), t; + } +} +class Va extends Bt { + constructor(e, t, n, r = 1) { + super(e, t, n), this.isInstancedBufferAttribute = !0, this.meshPerAttribute = r; + } + copy(e) { + return super.copy(e), this.meshPerAttribute = e.meshPerAttribute, this; + } + toJSON() { + const e = super.toJSON(); + return e.meshPerAttribute = this.meshPerAttribute, e.isInstancedBufferAttribute = !0, e; + } +} +const jn = /* @__PURE__ */ new Qe(), ka = /* @__PURE__ */ new Qe(), Yi = [], Wa = /* @__PURE__ */ new Cn(), ep = /* @__PURE__ */ new Qe(), di = /* @__PURE__ */ new Ot(), fi = /* @__PURE__ */ new xi(); +class Xa extends Ot { + constructor(e, t, n) { + super(e, t), this.isInstancedMesh = !0, this.instanceMatrix = new Va(new Float32Array(n * 16), 16), this.instanceColor = null, this.count = n, this.boundingBox = null, this.boundingSphere = null; + for (let r = 0; r < n; r++) + this.setMatrixAt(r, ep); + } + computeBoundingBox() { + const e = this.geometry, t = this.count; + this.boundingBox === null && (this.boundingBox = new Cn()), e.boundingBox === null && e.computeBoundingBox(), this.boundingBox.makeEmpty(); + for (let n = 0; n < t; n++) + this.getMatrixAt(n, jn), Wa.copy(e.boundingBox).applyMatrix4(jn), this.boundingBox.union(Wa); + } + computeBoundingSphere() { + const e = this.geometry, t = this.count; + this.boundingSphere === null && (this.boundingSphere = new xi()), e.boundingSphere === null && e.computeBoundingSphere(), this.boundingSphere.makeEmpty(); + for (let n = 0; n < t; n++) + this.getMatrixAt(n, jn), fi.copy(e.boundingSphere).applyMatrix4(jn), this.boundingSphere.union(fi); + } + copy(e, t) { + return super.copy(e, t), this.instanceMatrix.copy(e.instanceMatrix), e.instanceColor !== null && (this.instanceColor = e.instanceColor.clone()), this.count = e.count, e.boundingBox !== null && (this.boundingBox = e.boundingBox.clone()), e.boundingSphere !== null && (this.boundingSphere = e.boundingSphere.clone()), this; + } + getColorAt(e, t) { + t.fromArray(this.instanceColor.array, e * 3); + } + getMatrixAt(e, t) { + t.fromArray(this.instanceMatrix.array, e * 16); + } + raycast(e, t) { + const n = this.matrixWorld, r = this.count; + if (di.geometry = this.geometry, di.material = this.material, di.material !== void 0 && (this.boundingSphere === null && this.computeBoundingSphere(), fi.copy(this.boundingSphere), fi.applyMatrix4(n), e.ray.intersectsSphere(fi) !== !1)) + for (let s = 0; s < r; s++) { + this.getMatrixAt(s, jn), ka.multiplyMatrices(n, jn), di.matrixWorld = ka, di.raycast(e, Yi); + for (let o = 0, a = Yi.length; o < a; o++) { + const l = Yi[o]; + l.instanceId = s, l.object = this, t.push(l); + } + Yi.length = 0; + } + } + setColorAt(e, t) { + this.instanceColor === null && (this.instanceColor = new Va(new Float32Array(this.instanceMatrix.count * 3), 3)), t.toArray(this.instanceColor.array, e * 3); + } + setMatrixAt(e, t) { + t.toArray(this.instanceMatrix.array, e * 16); + } + updateMorphTargets() { + } + dispose() { + this.dispatchEvent({ type: "dispose" }); + } +} +class ds extends hn { + constructor(e = 1, t = 0.4, n = 12, r = 48, s = Math.PI * 2) { + super(), this.type = "TorusGeometry", this.parameters = { + radius: e, + tube: t, + radialSegments: n, + tubularSegments: r, + arc: s + }, n = Math.floor(n), r = Math.floor(r); + const o = [], a = [], l = [], c = [], h = new P(), d = new P(), p = new P(); + for (let m = 0; m <= n; m++) + for (let g = 0; g <= r; g++) { + const v = g / r * s, f = m / n * Math.PI * 2; + d.x = (e + t * Math.cos(f)) * Math.cos(v), d.y = (e + t * Math.cos(f)) * Math.sin(v), d.z = t * Math.sin(f), a.push(d.x, d.y, d.z), h.x = e * Math.cos(v), h.y = e * Math.sin(v), p.subVectors(d, h).normalize(), l.push(p.x, p.y, p.z), c.push(g / r), c.push(m / n); + } + for (let m = 1; m <= n; m++) + for (let g = 1; g <= r; g++) { + const v = (r + 1) * m + g - 1, f = (r + 1) * (m - 1) + g - 1, u = (r + 1) * (m - 1) + g, b = (r + 1) * m + g; + o.push(v, f, b), o.push(f, u, b); + } + this.setIndex(o), this.setAttribute("position", new Ht(a, 3)), this.setAttribute("normal", new Ht(l, 3)), this.setAttribute("uv", new Ht(c, 2)); + } + copy(e) { + return super.copy(e), this.parameters = Object.assign({}, e.parameters), this; + } + static fromJSON(e) { + return new ds(e.radius, e.tube, e.radialSegments, e.tubularSegments, e.arc); + } +} +class qa extends Mi { + constructor(e) { + super(), this.isMeshStandardMaterial = !0, this.defines = { STANDARD: "" }, this.type = "MeshStandardMaterial", this.color = new Xe(16777215), this.roughness = 1, this.metalness = 0, this.map = null, this.lightMap = null, this.lightMapIntensity = 1, this.aoMap = null, this.aoMapIntensity = 1, this.emissive = new Xe(0), this.emissiveIntensity = 1, this.emissiveMap = null, this.bumpMap = null, this.bumpScale = 1, this.normalMap = null, this.normalMapType = vo, this.normalScale = new Ie(1, 1), this.displacementMap = null, this.displacementScale = 1, this.displacementBias = 0, this.roughnessMap = null, this.metalnessMap = null, this.alphaMap = null, this.envMap = null, this.envMapIntensity = 1, this.wireframe = !1, this.wireframeLinewidth = 1, this.wireframeLinecap = "round", this.wireframeLinejoin = "round", this.flatShading = !1, this.fog = !0, this.setValues(e); + } + copy(e) { + return super.copy(e), this.defines = { STANDARD: "" }, this.color.copy(e.color), this.roughness = e.roughness, this.metalness = e.metalness, this.map = e.map, this.lightMap = e.lightMap, this.lightMapIntensity = e.lightMapIntensity, this.aoMap = e.aoMap, this.aoMapIntensity = e.aoMapIntensity, this.emissive.copy(e.emissive), this.emissiveMap = e.emissiveMap, this.emissiveIntensity = e.emissiveIntensity, this.bumpMap = e.bumpMap, this.bumpScale = e.bumpScale, this.normalMap = e.normalMap, this.normalMapType = e.normalMapType, this.normalScale.copy(e.normalScale), this.displacementMap = e.displacementMap, this.displacementScale = e.displacementScale, this.displacementBias = e.displacementBias, this.roughnessMap = e.roughnessMap, this.metalnessMap = e.metalnessMap, this.alphaMap = e.alphaMap, this.envMap = e.envMap, this.envMapIntensity = e.envMapIntensity, this.wireframe = e.wireframe, this.wireframeLinewidth = e.wireframeLinewidth, this.wireframeLinecap = e.wireframeLinecap, this.wireframeLinejoin = e.wireframeLinejoin, this.flatShading = e.flatShading, this.fog = e.fog, this; + } +} +class fs extends dt { + constructor(e, t = 1) { + super(), this.isLight = !0, this.type = "Light", this.color = new Xe(e), this.intensity = t; + } + dispose() { + } + copy(e, t) { + return super.copy(e, t), this.color.copy(e.color), this.intensity = e.intensity, this; + } + toJSON(e) { + const t = super.toJSON(e); + return t.object.color = this.color.getHex(), t.object.intensity = this.intensity, this.groundColor !== void 0 && (t.object.groundColor = this.groundColor.getHex()), this.distance !== void 0 && (t.object.distance = this.distance), this.angle !== void 0 && (t.object.angle = this.angle), this.decay !== void 0 && (t.object.decay = this.decay), this.penumbra !== void 0 && (t.object.penumbra = this.penumbra), this.shadow !== void 0 && (t.object.shadow = this.shadow.toJSON()), t; + } +} +const Wr = /* @__PURE__ */ new Qe(), Ya = /* @__PURE__ */ new P(), ja = /* @__PURE__ */ new P(); +class Ho { + constructor(e) { + this.camera = e, this.bias = 0, this.normalBias = 0, this.radius = 1, this.blurSamples = 8, this.mapSize = new Ie(512, 512), this.map = null, this.mapPass = null, this.matrix = new Qe(), this.autoUpdate = !0, this.needsUpdate = !1, this._frustum = new cs(), this._frameExtents = new Ie(1, 1), this._viewportCount = 1, this._viewports = [ + new $e(0, 0, 1, 1) + ]; + } + getViewportCount() { + return this._viewportCount; + } + getFrustum() { + return this._frustum; + } + updateMatrices(e) { + const t = this.camera, n = this.matrix; + Ya.setFromMatrixPosition(e.matrixWorld), t.position.copy(Ya), ja.setFromMatrixPosition(e.target.matrixWorld), t.lookAt(ja), t.updateMatrixWorld(), Wr.multiplyMatrices(t.projectionMatrix, t.matrixWorldInverse), this._frustum.setFromProjectionMatrix(Wr), n.set( + 0.5, + 0, + 0, + 0.5, + 0, + 0.5, + 0, + 0.5, + 0, + 0, + 0.5, + 0.5, + 0, + 0, + 0, + 1 + ), n.multiply(Wr); + } + getViewport(e) { + return this._viewports[e]; + } + getFrameExtents() { + return this._frameExtents; + } + dispose() { + this.map && this.map.dispose(), this.mapPass && this.mapPass.dispose(); + } + copy(e) { + return this.camera = e.camera.clone(), this.bias = e.bias, this.radius = e.radius, this.mapSize.copy(e.mapSize), this; + } + clone() { + return new this.constructor().copy(this); + } + toJSON() { + const e = {}; + return this.bias !== 0 && (e.bias = this.bias), this.normalBias !== 0 && (e.normalBias = this.normalBias), this.radius !== 1 && (e.radius = this.radius), (this.mapSize.x !== 512 || this.mapSize.y !== 512) && (e.mapSize = this.mapSize.toArray()), e.camera = this.camera.toJSON(!1).object, delete e.camera.matrix, e; + } +} +const Ka = /* @__PURE__ */ new Qe(), pi = /* @__PURE__ */ new P(), Xr = /* @__PURE__ */ new P(); +class tp extends Ho { + constructor() { + super(new Tt(90, 1, 0.5, 500)), this.isPointLightShadow = !0, this._frameExtents = new Ie(4, 2), this._viewportCount = 6, this._viewports = [ + // These viewports map a cube-map onto a 2D texture with the + // following orientation: + // + // xzXZ + // y Y + // + // X - Positive x direction + // x - Negative x direction + // Y - Positive y direction + // y - Negative y direction + // Z - Positive z direction + // z - Negative z direction + // positive X + new $e(2, 1, 1, 1), + // negative X + new $e(0, 1, 1, 1), + // positive Z + new $e(3, 1, 1, 1), + // negative Z + new $e(1, 1, 1, 1), + // positive Y + new $e(3, 0, 1, 1), + // negative Y + new $e(1, 0, 1, 1) + ], this._cubeDirections = [ + new P(1, 0, 0), + new P(-1, 0, 0), + new P(0, 0, 1), + new P(0, 0, -1), + new P(0, 1, 0), + new P(0, -1, 0) + ], this._cubeUps = [ + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 1, 0), + new P(0, 0, 1), + new P(0, 0, -1) + ]; + } + updateMatrices(e, t = 0) { + const n = this.camera, r = this.matrix, s = e.distance || n.far; + s !== n.far && (n.far = s, n.updateProjectionMatrix()), pi.setFromMatrixPosition(e.matrixWorld), n.position.copy(pi), Xr.copy(n.position), Xr.add(this._cubeDirections[t]), n.up.copy(this._cubeUps[t]), n.lookAt(Xr), n.updateMatrixWorld(), r.makeTranslation(-pi.x, -pi.y, -pi.z), Ka.multiplyMatrices(n.projectionMatrix, n.matrixWorldInverse), this._frustum.setFromProjectionMatrix(Ka); + } +} +class Za extends fs { + constructor(e, t, n = 0, r = 2) { + super(e, t), this.isPointLight = !0, this.type = "PointLight", this.distance = n, this.decay = r, this.shadow = new tp(); + } + get power() { + return this.intensity * 4 * Math.PI; + } + set power(e) { + this.intensity = e / (4 * Math.PI); + } + dispose() { + this.shadow.dispose(); + } + copy(e, t) { + return super.copy(e, t), this.distance = e.distance, this.decay = e.decay, this.shadow = e.shadow.clone(), this; + } +} +class np extends Ho { + constructor() { + super(new Uo(-5, 5, 5, -5, 0.5, 500)), this.isDirectionalLightShadow = !0; + } +} +class ip extends fs { + constructor(e, t) { + super(e, t), this.isDirectionalLight = !0, this.type = "DirectionalLight", this.position.copy(dt.DEFAULT_UP), this.updateMatrix(), this.target = new dt(), this.shadow = new np(); + } + dispose() { + this.shadow.dispose(); + } + copy(e) { + return super.copy(e), this.target = e.target.clone(), this.shadow = e.shadow.clone(), this; + } +} +class rp extends fs { + constructor(e, t) { + super(e, t), this.isAmbientLight = !0, this.type = "AmbientLight"; + } +} +class $a { + constructor(e = 1, t = 0, n = 0) { + return this.radius = e, this.phi = t, this.theta = n, this; + } + set(e, t, n) { + return this.radius = e, this.phi = t, this.theta = n, this; + } + copy(e) { + return this.radius = e.radius, this.phi = e.phi, this.theta = e.theta, this; + } + // restrict phi to be between EPS and PI-EPS + makeSafe() { + return this.phi = Math.max(1e-6, Math.min(Math.PI - 1e-6, this.phi)), this; + } + setFromVector3(e) { + return this.setFromCartesianCoords(e.x, e.y, e.z); + } + setFromCartesianCoords(e, t, n) { + return this.radius = Math.sqrt(e * e + t * t + n * n), this.radius === 0 ? (this.theta = 0, this.phi = 0) : (this.theta = Math.atan2(e, n), this.phi = Math.acos(vt(t / this.radius, -1, 1))), this; + } + clone() { + return new this.constructor().copy(this); + } +} +typeof __THREE_DEVTOOLS__ < "u" && __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register", { detail: { + revision: ss +} })); +typeof window < "u" && (window.__THREE__ ? console.warn("WARNING: Multiple instances of Three.js being imported.") : window.__THREE__ = ss); +const Ja = { type: "change" }, qr = { type: "start" }, Qa = { type: "end" }, ji = new To(), eo = new rn(), sp = Math.cos(70 * ql.DEG2RAD); +class ap extends Rn { + constructor(e, t) { + super(), this.object = e, this.domElement = t, this.domElement.style.touchAction = "none", this.enabled = !0, this.target = new P(), this.cursor = new P(), this.minDistance = 0, this.maxDistance = 1 / 0, this.minZoom = 0, this.maxZoom = 1 / 0, this.minTargetRadius = 0, this.maxTargetRadius = 1 / 0, this.minPolarAngle = 0, this.maxPolarAngle = Math.PI, this.minAzimuthAngle = -1 / 0, this.maxAzimuthAngle = 1 / 0, this.enableDamping = !1, this.dampingFactor = 0.05, this.enableZoom = !0, this.zoomSpeed = 1, this.enableRotate = !0, this.rotateSpeed = 1, this.enablePan = !0, this.panSpeed = 1, this.screenSpacePanning = !0, this.keyPanSpeed = 7, this.zoomToCursor = !1, this.autoRotate = !1, this.autoRotateSpeed = 2, this.keys = { LEFT: "ArrowLeft", UP: "ArrowUp", RIGHT: "ArrowRight", BOTTOM: "ArrowDown" }, this.mouseButtons = { LEFT: Ln.ROTATE, MIDDLE: Ln.DOLLY, RIGHT: Ln.PAN }, this.touches = { ONE: Pn.ROTATE, TWO: Pn.DOLLY_PAN }, this.target0 = this.target.clone(), this.position0 = this.object.position.clone(), this.zoom0 = this.object.zoom, this._domElementKeyEvents = null, this.getPolarAngle = function() { + return a.phi; + }, this.getAzimuthalAngle = function() { + return a.theta; + }, this.getDistance = function() { + return this.object.position.distanceTo(this.target); + }, this.listenToKeyEvents = function(T) { + T.addEventListener("keydown", ye), this._domElementKeyEvents = T; + }, this.stopListenToKeyEvents = function() { + this._domElementKeyEvents.removeEventListener("keydown", ye), this._domElementKeyEvents = null; + }, this.saveState = function() { + n.target0.copy(n.target), n.position0.copy(n.object.position), n.zoom0 = n.object.zoom; + }, this.reset = function() { + n.target.copy(n.target0), n.object.position.copy(n.position0), n.object.zoom = n.zoom0, n.object.updateProjectionMatrix(), n.dispatchEvent(Ja), n.update(), s = r.NONE; + }, this.update = function() { + const T = new P(), ne = new An().setFromUnitVectors(e.up, new P(0, 1, 0)), xe = ne.clone().invert(), fe = new P(), te = new An(), w = new P(), ie = 2 * Math.PI; + return function(Ce = null) { + const Te = n.object.position; + T.copy(Te).sub(n.target), T.applyQuaternion(ne), a.setFromVector3(T), n.autoRotate && s === r.NONE && Z(y(Ce)), n.enableDamping ? (a.theta += l.theta * n.dampingFactor, a.phi += l.phi * n.dampingFactor) : (a.theta += l.theta, a.phi += l.phi); + let ke = n.minAzimuthAngle, We = n.maxAzimuthAngle; + isFinite(ke) && isFinite(We) && (ke < -Math.PI ? ke += ie : ke > Math.PI && (ke -= ie), We < -Math.PI ? We += ie : We > Math.PI && (We -= ie), ke <= We ? a.theta = Math.max(ke, Math.min(We, a.theta)) : a.theta = a.theta > (ke + We) / 2 ? Math.max(ke, a.theta) : Math.min(We, a.theta)), a.phi = Math.max(n.minPolarAngle, Math.min(n.maxPolarAngle, a.phi)), a.makeSafe(), n.enableDamping === !0 ? n.target.addScaledVector(h, n.dampingFactor) : n.target.add(h), n.target.sub(n.cursor), n.target.clampLength(n.minTargetRadius, n.maxTargetRadius), n.target.add(n.cursor), n.zoomToCursor && C || n.object.isOrthographicCamera ? a.radius = q(a.radius) : a.radius = q(a.radius * c), T.setFromSpherical(a), T.applyQuaternion(xe), Te.copy(n.target).add(T), n.object.lookAt(n.target), n.enableDamping === !0 ? (l.theta *= 1 - n.dampingFactor, l.phi *= 1 - n.dampingFactor, h.multiplyScalar(1 - n.dampingFactor)) : (l.set(0, 0, 0), h.set(0, 0, 0)); + let et = !1; + if (n.zoomToCursor && C) { + let nt = null; + if (n.object.isPerspectiveCamera) { + const qe = T.length(); + nt = q(qe * c); + const st = qe - nt; + n.object.position.addScaledVector(R, st), n.object.updateMatrixWorld(); + } else if (n.object.isOrthographicCamera) { + const qe = new P(D.x, D.y, 0); + qe.unproject(n.object), n.object.zoom = Math.max(n.minZoom, Math.min(n.maxZoom, n.object.zoom / c)), n.object.updateProjectionMatrix(), et = !0; + const st = new P(D.x, D.y, 0); + st.unproject(n.object), n.object.position.sub(st).add(qe), n.object.updateMatrixWorld(), nt = T.length(); + } else + console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."), n.zoomToCursor = !1; + nt !== null && (this.screenSpacePanning ? n.target.set(0, 0, -1).transformDirection(n.object.matrix).multiplyScalar(nt).add(n.object.position) : (ji.origin.copy(n.object.position), ji.direction.set(0, 0, -1).transformDirection(n.object.matrix), Math.abs(n.object.up.dot(ji.direction)) < sp ? e.lookAt(n.target) : (eo.setFromNormalAndCoplanarPoint(n.object.up, n.target), ji.intersectPlane(eo, n.target)))); + } else n.object.isOrthographicCamera && (n.object.zoom = Math.max(n.minZoom, Math.min(n.maxZoom, n.object.zoom / c)), n.object.updateProjectionMatrix(), et = !0); + return c = 1, C = !1, et || fe.distanceToSquared(n.object.position) > o || 8 * (1 - te.dot(n.object.quaternion)) > o || w.distanceToSquared(n.target) > 0 ? (n.dispatchEvent(Ja), fe.copy(n.object.position), te.copy(n.object.quaternion), w.copy(n.target), !0) : !1; + }; + }(), this.dispose = function() { + n.domElement.removeEventListener("contextmenu", Ye), n.domElement.removeEventListener("pointerdown", M), n.domElement.removeEventListener("pointercancel", I), n.domElement.removeEventListener("wheel", J), n.domElement.removeEventListener("pointermove", _), n.domElement.removeEventListener("pointerup", I), n._domElementKeyEvents !== null && (n._domElementKeyEvents.removeEventListener("keydown", ye), n._domElementKeyEvents = null); + }; + const n = this, r = { + NONE: -1, + ROTATE: 0, + DOLLY: 1, + PAN: 2, + TOUCH_ROTATE: 3, + TOUCH_PAN: 4, + TOUCH_DOLLY_PAN: 5, + TOUCH_DOLLY_ROTATE: 6 + }; + let s = r.NONE; + const o = 1e-6, a = new $a(), l = new $a(); + let c = 1; + const h = new P(), d = new Ie(), p = new Ie(), m = new Ie(), g = new Ie(), v = new Ie(), f = new Ie(), u = new Ie(), b = new Ie(), S = new Ie(), R = new P(), D = new Ie(); + let C = !1; + const A = [], W = {}; + let x = !1; + function y(T) { + return T !== null ? 2 * Math.PI / 60 * n.autoRotateSpeed * T : 2 * Math.PI / 60 / 60 * n.autoRotateSpeed; + } + function z(T) { + const ne = Math.abs(T * 0.01); + return Math.pow(0.95, n.zoomSpeed * ne); + } + function Z(T) { + l.theta -= T; + } + function re(T) { + l.phi -= T; + } + const L = function() { + const T = new P(); + return function(xe, fe) { + T.setFromMatrixColumn(fe, 0), T.multiplyScalar(-xe), h.add(T); + }; + }(), F = function() { + const T = new P(); + return function(xe, fe) { + n.screenSpacePanning === !0 ? T.setFromMatrixColumn(fe, 1) : (T.setFromMatrixColumn(fe, 0), T.crossVectors(n.object.up, T)), T.multiplyScalar(xe), h.add(T); + }; + }(), V = function() { + const T = new P(); + return function(xe, fe) { + const te = n.domElement; + if (n.object.isPerspectiveCamera) { + const w = n.object.position; + T.copy(w).sub(n.target); + let ie = T.length(); + ie *= Math.tan(n.object.fov / 2 * Math.PI / 180), L(2 * xe * ie / te.clientHeight, n.object.matrix), F(2 * fe * ie / te.clientHeight, n.object.matrix); + } else n.object.isOrthographicCamera ? (L(xe * (n.object.right - n.object.left) / n.object.zoom / te.clientWidth, n.object.matrix), F(fe * (n.object.top - n.object.bottom) / n.object.zoom / te.clientHeight, n.object.matrix)) : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."), n.enablePan = !1); + }; + }(); + function Y(T) { + n.object.isPerspectiveCamera || n.object.isOrthographicCamera ? c /= T : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."), n.enableZoom = !1); + } + function X(T) { + n.object.isPerspectiveCamera || n.object.isOrthographicCamera ? c *= T : (console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."), n.enableZoom = !1); + } + function k(T, ne) { + if (!n.zoomToCursor) + return; + C = !0; + const xe = n.domElement.getBoundingClientRect(), fe = T - xe.left, te = ne - xe.top, w = xe.width, ie = xe.height; + D.x = fe / w * 2 - 1, D.y = -(te / ie) * 2 + 1, R.set(D.x, D.y, 1).unproject(n.object).sub(n.object.position).normalize(); + } + function q(T) { + return Math.max(n.minDistance, Math.min(n.maxDistance, T)); + } + function Q(T) { + d.set(T.clientX, T.clientY); + } + function ce(T) { + k(T.clientX, T.clientX), u.set(T.clientX, T.clientY); + } + function H(T) { + g.set(T.clientX, T.clientY); + } + function j(T) { + p.set(T.clientX, T.clientY), m.subVectors(p, d).multiplyScalar(n.rotateSpeed); + const ne = n.domElement; + Z(2 * Math.PI * m.x / ne.clientHeight), re(2 * Math.PI * m.y / ne.clientHeight), d.copy(p), n.update(); + } + function oe(T) { + b.set(T.clientX, T.clientY), S.subVectors(b, u), S.y > 0 ? Y(z(S.y)) : S.y < 0 && X(z(S.y)), u.copy(b), n.update(); + } + function ve(T) { + v.set(T.clientX, T.clientY), f.subVectors(v, g).multiplyScalar(n.panSpeed), V(f.x, f.y), g.copy(v), n.update(); + } + function _e(T) { + k(T.clientX, T.clientY), T.deltaY < 0 ? X(z(T.deltaY)) : T.deltaY > 0 && Y(z(T.deltaY)), n.update(); + } + function we(T) { + let ne = !1; + switch (T.code) { + case n.keys.UP: + T.ctrlKey || T.metaKey || T.shiftKey ? re(2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(0, n.keyPanSpeed), ne = !0; + break; + case n.keys.BOTTOM: + T.ctrlKey || T.metaKey || T.shiftKey ? re(-2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(0, -n.keyPanSpeed), ne = !0; + break; + case n.keys.LEFT: + T.ctrlKey || T.metaKey || T.shiftKey ? Z(2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(n.keyPanSpeed, 0), ne = !0; + break; + case n.keys.RIGHT: + T.ctrlKey || T.metaKey || T.shiftKey ? Z(-2 * Math.PI * n.rotateSpeed / n.domElement.clientHeight) : V(-n.keyPanSpeed, 0), ne = !0; + break; + } + ne && (T.preventDefault(), n.update()); + } + function Ae(T) { + if (A.length === 1) + d.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + d.set(xe, fe); + } + } + function ge(T) { + if (A.length === 1) + g.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + g.set(xe, fe); + } + } + function Pe(T) { + const ne = ue(T), xe = T.pageX - ne.x, fe = T.pageY - ne.y, te = Math.sqrt(xe * xe + fe * fe); + u.set(0, te); + } + function N(T) { + n.enableZoom && Pe(T), n.enablePan && ge(T); + } + function rt(T) { + n.enableZoom && Pe(T), n.enableRotate && Ae(T); + } + function Me(T) { + if (A.length == 1) + p.set(T.pageX, T.pageY); + else { + const xe = ue(T), fe = 0.5 * (T.pageX + xe.x), te = 0.5 * (T.pageY + xe.y); + p.set(fe, te); + } + m.subVectors(p, d).multiplyScalar(n.rotateSpeed); + const ne = n.domElement; + Z(2 * Math.PI * m.x / ne.clientHeight), re(2 * Math.PI * m.y / ne.clientHeight), d.copy(p); + } + function Re(T) { + if (A.length === 1) + v.set(T.pageX, T.pageY); + else { + const ne = ue(T), xe = 0.5 * (T.pageX + ne.x), fe = 0.5 * (T.pageY + ne.y); + v.set(xe, fe); + } + f.subVectors(v, g).multiplyScalar(n.panSpeed), V(f.x, f.y), g.copy(v); + } + function pe(T) { + const ne = ue(T), xe = T.pageX - ne.x, fe = T.pageY - ne.y, te = Math.sqrt(xe * xe + fe * fe); + b.set(0, te), S.set(0, Math.pow(b.y / u.y, n.zoomSpeed)), Y(S.y), u.copy(b); + const w = (T.pageX + ne.x) * 0.5, ie = (T.pageY + ne.y) * 0.5; + k(w, ie); + } + function je(T) { + n.enableZoom && pe(T), n.enablePan && Re(T); + } + function be(T) { + n.enableZoom && pe(T), n.enableRotate && Me(T); + } + function M(T) { + n.enabled !== !1 && (A.length === 0 && (n.domElement.setPointerCapture(T.pointerId), n.domElement.addEventListener("pointermove", _), n.domElement.addEventListener("pointerup", I)), ze(T), T.pointerType === "touch" ? Fe(T) : $(T)); + } + function _(T) { + n.enabled !== !1 && (T.pointerType === "touch" ? ee(T) : K(T)); + } + function I(T) { + De(T), A.length === 0 && (n.domElement.releasePointerCapture(T.pointerId), n.domElement.removeEventListener("pointermove", _), n.domElement.removeEventListener("pointerup", I)), n.dispatchEvent(Qa), s = r.NONE; + } + function $(T) { + let ne; + switch (T.button) { + case 0: + ne = n.mouseButtons.LEFT; + break; + case 1: + ne = n.mouseButtons.MIDDLE; + break; + case 2: + ne = n.mouseButtons.RIGHT; + break; + default: + ne = -1; + } + switch (ne) { + case Ln.DOLLY: + if (n.enableZoom === !1) return; + ce(T), s = r.DOLLY; + break; + case Ln.ROTATE: + if (T.ctrlKey || T.metaKey || T.shiftKey) { + if (n.enablePan === !1) return; + H(T), s = r.PAN; + } else { + if (n.enableRotate === !1) return; + Q(T), s = r.ROTATE; + } + break; + case Ln.PAN: + if (T.ctrlKey || T.metaKey || T.shiftKey) { + if (n.enableRotate === !1) return; + Q(T), s = r.ROTATE; + } else { + if (n.enablePan === !1) return; + H(T), s = r.PAN; + } + break; + default: + s = r.NONE; + } + s !== r.NONE && n.dispatchEvent(qr); + } + function K(T) { + switch (s) { + case r.ROTATE: + if (n.enableRotate === !1) return; + j(T); + break; + case r.DOLLY: + if (n.enableZoom === !1) return; + oe(T); + break; + case r.PAN: + if (n.enablePan === !1) return; + ve(T); + break; + } + } + function J(T) { + n.enabled === !1 || n.enableZoom === !1 || s !== r.NONE || (T.preventDefault(), n.dispatchEvent(qr), _e(me(T)), n.dispatchEvent(Qa)); + } + function me(T) { + const ne = T.deltaMode, xe = { + clientX: T.clientX, + clientY: T.clientY, + deltaY: T.deltaY + }; + switch (ne) { + case 1: + xe.deltaY *= 16; + break; + case 2: + xe.deltaY *= 100; + break; + } + return T.ctrlKey && !x && (xe.deltaY *= 10), xe; + } + function ae(T) { + T.key === "Control" && (x = !0, document.addEventListener("keyup", he, { passive: !0, capture: !0 })); + } + function he(T) { + T.key === "Control" && (x = !1, document.removeEventListener("keyup", he, { passive: !0, capture: !0 })); + } + function ye(T) { + n.enabled === !1 || n.enablePan === !1 || we(T); + } + function Fe(T) { + switch (Ee(T), A.length) { + case 1: + switch (n.touches.ONE) { + case Pn.ROTATE: + if (n.enableRotate === !1) return; + Ae(T), s = r.TOUCH_ROTATE; + break; + case Pn.PAN: + if (n.enablePan === !1) return; + ge(T), s = r.TOUCH_PAN; + break; + default: + s = r.NONE; + } + break; + case 2: + switch (n.touches.TWO) { + case Pn.DOLLY_PAN: + if (n.enableZoom === !1 && n.enablePan === !1) return; + N(T), s = r.TOUCH_DOLLY_PAN; + break; + case Pn.DOLLY_ROTATE: + if (n.enableZoom === !1 && n.enableRotate === !1) return; + rt(T), s = r.TOUCH_DOLLY_ROTATE; + break; + default: + s = r.NONE; + } + break; + default: + s = r.NONE; + } + s !== r.NONE && n.dispatchEvent(qr); + } + function ee(T) { + switch (Ee(T), s) { + case r.TOUCH_ROTATE: + if (n.enableRotate === !1) return; + Me(T), n.update(); + break; + case r.TOUCH_PAN: + if (n.enablePan === !1) return; + Re(T), n.update(); + break; + case r.TOUCH_DOLLY_PAN: + if (n.enableZoom === !1 && n.enablePan === !1) return; + je(T), n.update(); + break; + case r.TOUCH_DOLLY_ROTATE: + if (n.enableZoom === !1 && n.enableRotate === !1) return; + be(T), n.update(); + break; + default: + s = r.NONE; + } + } + function Ye(T) { + n.enabled !== !1 && T.preventDefault(); + } + function ze(T) { + A.push(T.pointerId); + } + function De(T) { + delete W[T.pointerId]; + for (let ne = 0; ne < A.length; ne++) + if (A[ne] == T.pointerId) { + A.splice(ne, 1); + return; + } + } + function Ee(T) { + let ne = W[T.pointerId]; + ne === void 0 && (ne = new Ie(), W[T.pointerId] = ne), ne.set(T.pageX, T.pageY); + } + function ue(T) { + const ne = T.pointerId === A[0] ? A[1] : A[0]; + return W[ne]; + } + n.domElement.addEventListener("contextmenu", Ye), n.domElement.addEventListener("pointerdown", M), n.domElement.addEventListener("pointercancel", I), n.domElement.addEventListener("wheel", J, { passive: !1 }), document.addEventListener("keydown", ae, { passive: !0, capture: !0 }), this.update(); + } +} +const op = "_wrapper_1xs2z_1", lp = "_canvasShell_1xs2z_28", cp = "_canvas_1xs2z_28", up = "_viewportLabels_1xs2z_48", hp = "_splitLabel_1xs2z_61", dp = "_controlOverlay_1xs2z_73", fp = "_resolutionCard_1xs2z_83", pp = "_resolutionControl_1xs2z_97", mp = "_slider_1xs2z_105", _p = "_sliderValue_1xs2z_111", Ut = { + wrapper: op, + canvasShell: lp, + canvas: cp, + viewportLabels: up, + splitLabel: hp, + controlOverlay: dp, + resolutionCard: fp, + resolutionControl: pp, + slider: mp, + sliderValue: _p +}, gp = 24, to = new P(20, 20, 20), no = new P(0, 0, 0), vp = 5e3, Yr = "#f2f0ea", xp = (i, e, t) => Math.min(t, Math.max(e, i)), jr = (i, e, t, n, r = 1) => { + if (typeof i != "number" || Number.isNaN(i)) return e; + const s = Math.round(i / r) * r; + return xp(s, t, n); +}; +function io(i) { + const e = new rp(16777215, 0.65); + i.add(e); + const t = new ip(16777215, 1.1); + t.position.set(20, 50, 20), t.castShadow = !0, t.shadow.mapSize.width = 2048, t.shadow.mapSize.height = 2048, i.add(t); + const n = new Za(3900150, 1.1, 50); + n.position.set(-10, 10, -10), i.add(n); + const r = new Za(16743001, 0.9, 50); + r.position.set(10, -10, 10), i.add(r); +} +function Mp(i) { + if (Array.isArray(i)) { + i.forEach((e) => e.dispose()); + return; + } + i.dispose(); +} +function ro(i) { + i.traverse((e) => { + const t = e; + t.geometry && t.geometry.dispose(), t.material && Mp(t.material); + }); +} +function yp({ + config: i, + onComplete: e, + onProgress: t, + theme: n, + className: r +}) { + const s = i.params ?? {}, o = jr(s.gridSize, 24, 12, 80, 1), a = jr(s.majorRadius, 8, 4, 10, 0.5), l = jr(s.minorRadius, 3, 1, 5, 0.25), [c, h] = Ms(o), [d, p] = Ms({ + layout: "landscape", + width: 0, + height: 0 + }), m = dr(null), g = dr(null), v = dr(!1); + ai(() => { + const R = m.current; + if (!R) return; + const D = () => { + const A = R.clientWidth, W = R.clientHeight; + if (!A || !W) return; + const x = A >= W ? "landscape" : "portrait"; + let y = A, z = W; + x === "landscape" ? (z = Math.min(W, A * (9 / 16)), y = z * (16 / 9)) : (y = Math.min(A, W / 2), z = y * 2), p({ + layout: x, + width: y, + height: z + }); + }, C = new ResizeObserver(D); + return C.observe(R), D(), () => { + C.disconnect(); + }; + }, []), ai(() => { + h(o), v.current = !1; + }, [i.id, o, a, l]); + const f = fr( + () => Math.max(gp, (a + l + 1.5) * 2), + [a, l] + ), u = fr(() => f / c, [f, c]); + ai(() => { + t == null || t(c === o ? 0 : 100); + }, [o, t, c]), ai(() => { + c === o || v.current || (v.current = !0, e({ + success: !0, + score: 100, + data: { + configId: i.id, + completedAt: (/* @__PURE__ */ new Date()).toISOString(), + params: { + gridSize: c, + majorRadius: a, + minorRadius: l + } + } + })); + }, [i.id, o, a, l, e, c]), ai(() => { + const R = g.current; + if (!R) return; + const D = new Ha(), C = new Ha(), A = new Xe(Yr); + D.background = A, D.fog = new ir(Yr, 0.02), C.background = A, C.fog = new ir(Yr, 0.02), io(D), io(C); + const W = new Tt(45, 1, 0.1, 1e3); + W.position.copy(to); + const x = new Go({ antialias: !0, alpha: !0 }); + x.shadowMap.enabled = !0, x.shadowMap.type = ao, x.setPixelRatio(Math.min(window.devicePixelRatio, 2)), x.setScissorTest(!0), R.appendChild(x.domElement); + const y = new ap(W, x.domElement); + y.enableDamping = !0, y.dampingFactor = 0.05, y.minDistance = 5, y.maxDistance = 100, y.target.copy(no); + const z = new ds(a, l, 64, 128), Z = new qa({ + color: 3900150, + roughness: 0.22, + metalness: 0.1 + }), re = new Ot(z, Z); + re.castShadow = !0, re.receiveShadow = !0, re.rotation.x = -Math.PI / 2, D.add(re); + const L = u * 0.12, F = Math.max(u - L, u * 0.2), V = new ii(F, F, F), Y = new qa({ + color: 3900150, + roughness: 0.22, + metalness: 0.1 + }), X = new ls({ + color: 0, + transparent: !0, + opacity: 0.08, + wireframe: !0 + }), k = Math.pow(c, 3), q = new Xa(V, Y, k), Q = new Xa(V, X, k), ce = (c - 1) * u / 2, H = new dt(); + q.castShadow = !0, q.receiveShadow = !0, C.add(q), C.add(Q); + let j = 0, oe = 0; + for (let be = 0; be < c; be += 1) + for (let M = 0; M < c; M += 1) + for (let _ = 0; _ < c; _ += 1) { + const I = be * u - ce, $ = M * u - ce, K = _ * u - ce, J = Math.sqrt(I * I + K * K) - a, ae = J * J + $ * $ < l * l; + if (H.position.set(I, $, K), H.updateMatrix(), ae) { + q.setMatrixAt(j, H.matrix); + const he = new Xe(), ye = 0.52 + $ / Math.max(c, 1) * 0.18; + he.setHSL(ye, 0.78, 0.52), q.setColorAt(j, he), j += 1; + continue; + } + Q.setMatrixAt(oe, H.matrix), oe += 1; + } + q.count = j, Q.count = oe, q.instanceMatrix.needsUpdate = !0, Q.instanceMatrix.needsUpdate = !0, q.instanceColor && (q.instanceColor.needsUpdate = !0); + const ve = to.clone(), _e = no.clone(); + let we = !1, Ae = null, ge = 0, Pe = 0; + const N = () => { + ge = R.clientWidth, Pe = R.clientHeight, !(!ge || !Pe) && (W.aspect = 1, W.updateProjectionMatrix(), x.setSize(ge, Pe, !1)); + }, rt = new ResizeObserver(N); + rt.observe(R), N(); + const Me = () => { + we = !1, Ae !== null && (window.clearTimeout(Ae), Ae = null); + }, Re = () => { + Ae = window.setTimeout(() => { + we = !0; + }, vp); + }; + y.addEventListener("start", Me), y.addEventListener("end", Re); + let pe = 0; + const je = () => { + if (pe = window.requestAnimationFrame(je), we && (W.position.lerp(ve, 0.05), y.target.lerp(_e, 0.05), W.position.distanceTo(ve) < 0.1 && y.target.distanceTo(_e) < 0.1 && (we = !1)), re.rotation.z += 2e-3, q.rotation.y += 2e-3, Q.rotation.y += 2e-3, Q.visible = !1, y.update(), !ge || !Pe) return; + const be = ge >= Pe, M = be ? Math.min(ge / 2, Pe) : Math.min(ge, Pe / 2), _ = be ? (ge - M * 2) / 2 : (ge - M) / 2, I = be ? (Pe - M) / 2 : (Pe - M * 2) / 2, $ = _, K = be ? I : I + M, J = be ? _ + M : _, me = I; + x.setScissor($, K, M, M), x.setViewport($, K, M, M), x.render(D, W), x.setScissor(J, me, M, M), x.setViewport(J, me, M, M), x.render(C, W); + }; + return je(), () => { + window.cancelAnimationFrame(pe), Ae !== null && window.clearTimeout(Ae), rt.disconnect(), y.removeEventListener("start", Me), y.removeEventListener("end", Re), y.dispose(), x.dispose(), ro(D), ro(C), R.removeChild(x.domElement); + }; + }, [a, l, c, u]); + const b = fr( + () => ({ + "--gc-primary": (n == null ? void 0 : n.primary) ?? "var(--color-primary, #45c4b0)", + "--gc-accent": (n == null ? void 0 : n.accent) ?? "var(--color-accent, #ff7a59)", + "--gc-bg": (n == null ? void 0 : n.bg) ?? "var(--color-bg, #0d1117)", + "--gc-bg-secondary": (n == null ? void 0 : n.bgSecondary) ?? "var(--color-bg-secondary, #182237)", + "--gc-text": (n == null ? void 0 : n.text) ?? "var(--color-text, #f1f4ef)", + "--gc-text-muted": (n == null ? void 0 : n.textMuted) ?? "var(--color-text-muted, #b6c0d4)", + "--gc-border": (n == null ? void 0 : n.border) ?? "var(--color-border, #34516f)" + }), + [n] + ), S = (R) => { + h(Number(R.target.value)); + }; + return /* @__PURE__ */ pn("div", { className: [Ut.wrapper, r].filter(Boolean).join(" "), style: b, ref: m, children: /* @__PURE__ */ yi( + "div", + { + className: Ut.canvasShell, + "data-layout": d.layout, + style: { + width: d.width ? `${d.width}px` : void 0, + height: d.height ? `${d.height}px` : void 0 + }, + children: [ + /* @__PURE__ */ pn("div", { className: Ut.canvas, ref: g }), + /* @__PURE__ */ yi("div", { className: Ut.viewportLabels, "data-layout": d.layout, children: [ + /* @__PURE__ */ pn("div", { className: Ut.splitLabel, children: "Continuous" }), + /* @__PURE__ */ pn("div", { className: Ut.splitLabel, children: "Discrete" }) + ] }), + /* @__PURE__ */ pn("div", { className: Ut.controlOverlay, children: /* @__PURE__ */ pn("label", { className: Ut.resolutionCard, children: /* @__PURE__ */ yi("span", { className: Ut.resolutionControl, children: [ + /* @__PURE__ */ pn( + "input", + { + className: Ut.slider, + type: "range", + min: "12", + max: "80", + step: "1", + value: c, + onChange: S + } + ), + /* @__PURE__ */ yi("span", { className: Ut.sliderValue, children: [ + u.toFixed(2), + "u" + ] }) + ] }) }) }) + ] + } + ) }); +} +const Tp = { + name: "voxel_universe", + displayName: "Voxel Universe", + version: "1.0.0", + paramSchema: { + gridSize: { + type: "range", + label: "Voxel Resolution", + description: "How many voxels are used per axis. Higher values make each voxel smaller.", + default: 24, + min: 12, + max: 80, + step: 1 + }, + majorRadius: { + type: "range", + label: "Major Radius", + description: "Overall radius of the torus shape.", + default: 8, + min: 4, + max: 10, + step: 0.5 + }, + minorRadius: { + type: "range", + label: "Minor Radius", + description: "Thickness of the torus ring.", + default: 3, + min: 1, + max: 5, + step: 0.25 + } + }, + defaultParams: { + gridSize: 24, + majorRadius: 8, + minorRadius: 3 + } +}; +export { + yp as default, + Tp as metadata +}; +//# sourceMappingURL=voxel_universe.js.map diff --git a/public/glitch/glitch_voxel_universe/voxel_universe.js.map b/public/glitch/glitch_voxel_universe/voxel_universe.js.map new file mode 100644 index 0000000..ad72beb --- /dev/null +++ b/public/glitch/glitch_voxel_universe/voxel_universe.js.map @@ -0,0 +1 @@ +{"version":3,"file":"voxel_universe.js","sources":["../node_modules/three/build/three.module.js","../node_modules/three/examples/jsm/controls/OrbitControls.js","../src/Component.tsx","../src/index.tsx"],"sourcesContent":["/**\n * @license\n * Copyright 2010-2023 Three.js Authors\n * SPDX-License-Identifier: MIT\n */\nconst REVISION = '160';\n\nconst MOUSE = { LEFT: 0, MIDDLE: 1, RIGHT: 2, ROTATE: 0, DOLLY: 1, PAN: 2 };\nconst TOUCH = { ROTATE: 0, PAN: 1, DOLLY_PAN: 2, DOLLY_ROTATE: 3 };\nconst CullFaceNone = 0;\nconst CullFaceBack = 1;\nconst CullFaceFront = 2;\nconst CullFaceFrontBack = 3;\nconst BasicShadowMap = 0;\nconst PCFShadowMap = 1;\nconst PCFSoftShadowMap = 2;\nconst VSMShadowMap = 3;\nconst FrontSide = 0;\nconst BackSide = 1;\nconst DoubleSide = 2;\nconst TwoPassDoubleSide = 2; // r149\nconst NoBlending = 0;\nconst NormalBlending = 1;\nconst AdditiveBlending = 2;\nconst SubtractiveBlending = 3;\nconst MultiplyBlending = 4;\nconst CustomBlending = 5;\nconst AddEquation = 100;\nconst SubtractEquation = 101;\nconst ReverseSubtractEquation = 102;\nconst MinEquation = 103;\nconst MaxEquation = 104;\nconst ZeroFactor = 200;\nconst OneFactor = 201;\nconst SrcColorFactor = 202;\nconst OneMinusSrcColorFactor = 203;\nconst SrcAlphaFactor = 204;\nconst OneMinusSrcAlphaFactor = 205;\nconst DstAlphaFactor = 206;\nconst OneMinusDstAlphaFactor = 207;\nconst DstColorFactor = 208;\nconst OneMinusDstColorFactor = 209;\nconst SrcAlphaSaturateFactor = 210;\nconst ConstantColorFactor = 211;\nconst OneMinusConstantColorFactor = 212;\nconst ConstantAlphaFactor = 213;\nconst OneMinusConstantAlphaFactor = 214;\nconst NeverDepth = 0;\nconst AlwaysDepth = 1;\nconst LessDepth = 2;\nconst LessEqualDepth = 3;\nconst EqualDepth = 4;\nconst GreaterEqualDepth = 5;\nconst GreaterDepth = 6;\nconst NotEqualDepth = 7;\nconst MultiplyOperation = 0;\nconst MixOperation = 1;\nconst AddOperation = 2;\nconst NoToneMapping = 0;\nconst LinearToneMapping = 1;\nconst ReinhardToneMapping = 2;\nconst CineonToneMapping = 3;\nconst ACESFilmicToneMapping = 4;\nconst CustomToneMapping = 5;\nconst AgXToneMapping = 6;\nconst AttachedBindMode = 'attached';\nconst DetachedBindMode = 'detached';\n\nconst UVMapping = 300;\nconst CubeReflectionMapping = 301;\nconst CubeRefractionMapping = 302;\nconst EquirectangularReflectionMapping = 303;\nconst EquirectangularRefractionMapping = 304;\nconst CubeUVReflectionMapping = 306;\nconst RepeatWrapping = 1000;\nconst ClampToEdgeWrapping = 1001;\nconst MirroredRepeatWrapping = 1002;\nconst NearestFilter = 1003;\nconst NearestMipmapNearestFilter = 1004;\nconst NearestMipMapNearestFilter = 1004;\nconst NearestMipmapLinearFilter = 1005;\nconst NearestMipMapLinearFilter = 1005;\nconst LinearFilter = 1006;\nconst LinearMipmapNearestFilter = 1007;\nconst LinearMipMapNearestFilter = 1007;\nconst LinearMipmapLinearFilter = 1008;\nconst LinearMipMapLinearFilter = 1008;\nconst UnsignedByteType = 1009;\nconst ByteType = 1010;\nconst ShortType = 1011;\nconst UnsignedShortType = 1012;\nconst IntType = 1013;\nconst UnsignedIntType = 1014;\nconst FloatType = 1015;\nconst HalfFloatType = 1016;\nconst UnsignedShort4444Type = 1017;\nconst UnsignedShort5551Type = 1018;\nconst UnsignedInt248Type = 1020;\nconst AlphaFormat = 1021;\nconst RGBAFormat = 1023;\nconst LuminanceFormat = 1024;\nconst LuminanceAlphaFormat = 1025;\nconst DepthFormat = 1026;\nconst DepthStencilFormat = 1027;\nconst RedFormat = 1028;\nconst RedIntegerFormat = 1029;\nconst RGFormat = 1030;\nconst RGIntegerFormat = 1031;\nconst RGBAIntegerFormat = 1033;\n\nconst RGB_S3TC_DXT1_Format = 33776;\nconst RGBA_S3TC_DXT1_Format = 33777;\nconst RGBA_S3TC_DXT3_Format = 33778;\nconst RGBA_S3TC_DXT5_Format = 33779;\nconst RGB_PVRTC_4BPPV1_Format = 35840;\nconst RGB_PVRTC_2BPPV1_Format = 35841;\nconst RGBA_PVRTC_4BPPV1_Format = 35842;\nconst RGBA_PVRTC_2BPPV1_Format = 35843;\nconst RGB_ETC1_Format = 36196;\nconst RGB_ETC2_Format = 37492;\nconst RGBA_ETC2_EAC_Format = 37496;\nconst RGBA_ASTC_4x4_Format = 37808;\nconst RGBA_ASTC_5x4_Format = 37809;\nconst RGBA_ASTC_5x5_Format = 37810;\nconst RGBA_ASTC_6x5_Format = 37811;\nconst RGBA_ASTC_6x6_Format = 37812;\nconst RGBA_ASTC_8x5_Format = 37813;\nconst RGBA_ASTC_8x6_Format = 37814;\nconst RGBA_ASTC_8x8_Format = 37815;\nconst RGBA_ASTC_10x5_Format = 37816;\nconst RGBA_ASTC_10x6_Format = 37817;\nconst RGBA_ASTC_10x8_Format = 37818;\nconst RGBA_ASTC_10x10_Format = 37819;\nconst RGBA_ASTC_12x10_Format = 37820;\nconst RGBA_ASTC_12x12_Format = 37821;\nconst RGBA_BPTC_Format = 36492;\nconst RGB_BPTC_SIGNED_Format = 36494;\nconst RGB_BPTC_UNSIGNED_Format = 36495;\nconst RED_RGTC1_Format = 36283;\nconst SIGNED_RED_RGTC1_Format = 36284;\nconst RED_GREEN_RGTC2_Format = 36285;\nconst SIGNED_RED_GREEN_RGTC2_Format = 36286;\nconst LoopOnce = 2200;\nconst LoopRepeat = 2201;\nconst LoopPingPong = 2202;\nconst InterpolateDiscrete = 2300;\nconst InterpolateLinear = 2301;\nconst InterpolateSmooth = 2302;\nconst ZeroCurvatureEnding = 2400;\nconst ZeroSlopeEnding = 2401;\nconst WrapAroundEnding = 2402;\nconst NormalAnimationBlendMode = 2500;\nconst AdditiveAnimationBlendMode = 2501;\nconst TrianglesDrawMode = 0;\nconst TriangleStripDrawMode = 1;\nconst TriangleFanDrawMode = 2;\n/** @deprecated Use LinearSRGBColorSpace or NoColorSpace in three.js r152+. */\nconst LinearEncoding = 3000;\n/** @deprecated Use SRGBColorSpace in three.js r152+. */\nconst sRGBEncoding = 3001;\nconst BasicDepthPacking = 3200;\nconst RGBADepthPacking = 3201;\nconst TangentSpaceNormalMap = 0;\nconst ObjectSpaceNormalMap = 1;\n\n// Color space string identifiers, matching CSS Color Module Level 4 and WebGPU names where available.\nconst NoColorSpace = '';\nconst SRGBColorSpace = 'srgb';\nconst LinearSRGBColorSpace = 'srgb-linear';\nconst DisplayP3ColorSpace = 'display-p3';\nconst LinearDisplayP3ColorSpace = 'display-p3-linear';\n\nconst LinearTransfer = 'linear';\nconst SRGBTransfer = 'srgb';\n\nconst Rec709Primaries = 'rec709';\nconst P3Primaries = 'p3';\n\nconst ZeroStencilOp = 0;\nconst KeepStencilOp = 7680;\nconst ReplaceStencilOp = 7681;\nconst IncrementStencilOp = 7682;\nconst DecrementStencilOp = 7683;\nconst IncrementWrapStencilOp = 34055;\nconst DecrementWrapStencilOp = 34056;\nconst InvertStencilOp = 5386;\n\nconst NeverStencilFunc = 512;\nconst LessStencilFunc = 513;\nconst EqualStencilFunc = 514;\nconst LessEqualStencilFunc = 515;\nconst GreaterStencilFunc = 516;\nconst NotEqualStencilFunc = 517;\nconst GreaterEqualStencilFunc = 518;\nconst AlwaysStencilFunc = 519;\n\nconst NeverCompare = 512;\nconst LessCompare = 513;\nconst EqualCompare = 514;\nconst LessEqualCompare = 515;\nconst GreaterCompare = 516;\nconst NotEqualCompare = 517;\nconst GreaterEqualCompare = 518;\nconst AlwaysCompare = 519;\n\nconst StaticDrawUsage = 35044;\nconst DynamicDrawUsage = 35048;\nconst StreamDrawUsage = 35040;\nconst StaticReadUsage = 35045;\nconst DynamicReadUsage = 35049;\nconst StreamReadUsage = 35041;\nconst StaticCopyUsage = 35046;\nconst DynamicCopyUsage = 35050;\nconst StreamCopyUsage = 35042;\n\nconst GLSL1 = '100';\nconst GLSL3 = '300 es';\n\nconst _SRGBAFormat = 1035; // fallback for WebGL 1\n\nconst WebGLCoordinateSystem = 2000;\nconst WebGPUCoordinateSystem = 2001;\n\n/**\n * https://github.com/mrdoob/eventdispatcher.js/\n */\n\nclass EventDispatcher {\n\n\taddEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) this._listeners = {};\n\n\t\tconst listeners = this._listeners;\n\n\t\tif ( listeners[ type ] === undefined ) {\n\n\t\t\tlisteners[ type ] = [];\n\n\t\t}\n\n\t\tif ( listeners[ type ].indexOf( listener ) === - 1 ) {\n\n\t\t\tlisteners[ type ].push( listener );\n\n\t\t}\n\n\t}\n\n\thasEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) return false;\n\n\t\tconst listeners = this._listeners;\n\n\t\treturn listeners[ type ] !== undefined && listeners[ type ].indexOf( listener ) !== - 1;\n\n\t}\n\n\tremoveEventListener( type, listener ) {\n\n\t\tif ( this._listeners === undefined ) return;\n\n\t\tconst listeners = this._listeners;\n\t\tconst listenerArray = listeners[ type ];\n\n\t\tif ( listenerArray !== undefined ) {\n\n\t\t\tconst index = listenerArray.indexOf( listener );\n\n\t\t\tif ( index !== - 1 ) {\n\n\t\t\t\tlistenerArray.splice( index, 1 );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tdispatchEvent( event ) {\n\n\t\tif ( this._listeners === undefined ) return;\n\n\t\tconst listeners = this._listeners;\n\t\tconst listenerArray = listeners[ event.type ];\n\n\t\tif ( listenerArray !== undefined ) {\n\n\t\t\tevent.target = this;\n\n\t\t\t// Make a copy, in case listeners are removed while iterating.\n\t\t\tconst array = listenerArray.slice( 0 );\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tarray[ i ].call( this, event );\n\n\t\t\t}\n\n\t\t\tevent.target = null;\n\n\t\t}\n\n\t}\n\n}\n\nconst _lut = [ '00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '0a', '0b', '0c', '0d', '0e', '0f', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '1a', '1b', '1c', '1d', '1e', '1f', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '2a', '2b', '2c', '2d', '2e', '2f', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '3a', '3b', '3c', '3d', '3e', '3f', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '4a', '4b', '4c', '4d', '4e', '4f', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '5a', '5b', '5c', '5d', '5e', '5f', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '6a', '6b', '6c', '6d', '6e', '6f', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '7a', '7b', '7c', '7d', '7e', '7f', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '8a', '8b', '8c', '8d', '8e', '8f', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '9a', '9b', '9c', '9d', '9e', '9f', 'a0', 'a1', 'a2', 'a3', 'a4', 'a5', 'a6', 'a7', 'a8', 'a9', 'aa', 'ab', 'ac', 'ad', 'ae', 'af', 'b0', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'b7', 'b8', 'b9', 'ba', 'bb', 'bc', 'bd', 'be', 'bf', 'c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9', 'ca', 'cb', 'cc', 'cd', 'ce', 'cf', 'd0', 'd1', 'd2', 'd3', 'd4', 'd5', 'd6', 'd7', 'd8', 'd9', 'da', 'db', 'dc', 'dd', 'de', 'df', 'e0', 'e1', 'e2', 'e3', 'e4', 'e5', 'e6', 'e7', 'e8', 'e9', 'ea', 'eb', 'ec', 'ed', 'ee', 'ef', 'f0', 'f1', 'f2', 'f3', 'f4', 'f5', 'f6', 'f7', 'f8', 'f9', 'fa', 'fb', 'fc', 'fd', 'fe', 'ff' ];\n\nlet _seed = 1234567;\n\n\nconst DEG2RAD = Math.PI / 180;\nconst RAD2DEG = 180 / Math.PI;\n\n// http://stackoverflow.com/questions/105034/how-to-create-a-guid-uuid-in-javascript/21963136#21963136\nfunction generateUUID() {\n\n\tconst d0 = Math.random() * 0xffffffff | 0;\n\tconst d1 = Math.random() * 0xffffffff | 0;\n\tconst d2 = Math.random() * 0xffffffff | 0;\n\tconst d3 = Math.random() * 0xffffffff | 0;\n\tconst uuid = _lut[ d0 & 0xff ] + _lut[ d0 >> 8 & 0xff ] + _lut[ d0 >> 16 & 0xff ] + _lut[ d0 >> 24 & 0xff ] + '-' +\n\t\t\t_lut[ d1 & 0xff ] + _lut[ d1 >> 8 & 0xff ] + '-' + _lut[ d1 >> 16 & 0x0f | 0x40 ] + _lut[ d1 >> 24 & 0xff ] + '-' +\n\t\t\t_lut[ d2 & 0x3f | 0x80 ] + _lut[ d2 >> 8 & 0xff ] + '-' + _lut[ d2 >> 16 & 0xff ] + _lut[ d2 >> 24 & 0xff ] +\n\t\t\t_lut[ d3 & 0xff ] + _lut[ d3 >> 8 & 0xff ] + _lut[ d3 >> 16 & 0xff ] + _lut[ d3 >> 24 & 0xff ];\n\n\t// .toLowerCase() here flattens concatenated strings to save heap memory space.\n\treturn uuid.toLowerCase();\n\n}\n\nfunction clamp( value, min, max ) {\n\n\treturn Math.max( min, Math.min( max, value ) );\n\n}\n\n// compute euclidean modulo of m % n\n// https://en.wikipedia.org/wiki/Modulo_operation\nfunction euclideanModulo( n, m ) {\n\n\treturn ( ( n % m ) + m ) % m;\n\n}\n\n// Linear mapping from range to range \nfunction mapLinear( x, a1, a2, b1, b2 ) {\n\n\treturn b1 + ( x - a1 ) * ( b2 - b1 ) / ( a2 - a1 );\n\n}\n\n// https://www.gamedev.net/tutorials/programming/general-and-gameplay-programming/inverse-lerp-a-super-useful-yet-often-overlooked-function-r5230/\nfunction inverseLerp( x, y, value ) {\n\n\tif ( x !== y ) {\n\n\t\treturn ( value - x ) / ( y - x );\n\n\t} else {\n\n\t\treturn 0;\n\n\t}\n\n}\n\n// https://en.wikipedia.org/wiki/Linear_interpolation\nfunction lerp( x, y, t ) {\n\n\treturn ( 1 - t ) * x + t * y;\n\n}\n\n// http://www.rorydriscoll.com/2016/03/07/frame-rate-independent-damping-using-lerp/\nfunction damp( x, y, lambda, dt ) {\n\n\treturn lerp( x, y, 1 - Math.exp( - lambda * dt ) );\n\n}\n\n// https://www.desmos.com/calculator/vcsjnyz7x4\nfunction pingpong( x, length = 1 ) {\n\n\treturn length - Math.abs( euclideanModulo( x, length * 2 ) - length );\n\n}\n\n// http://en.wikipedia.org/wiki/Smoothstep\nfunction smoothstep( x, min, max ) {\n\n\tif ( x <= min ) return 0;\n\tif ( x >= max ) return 1;\n\n\tx = ( x - min ) / ( max - min );\n\n\treturn x * x * ( 3 - 2 * x );\n\n}\n\nfunction smootherstep( x, min, max ) {\n\n\tif ( x <= min ) return 0;\n\tif ( x >= max ) return 1;\n\n\tx = ( x - min ) / ( max - min );\n\n\treturn x * x * x * ( x * ( x * 6 - 15 ) + 10 );\n\n}\n\n// Random integer from interval\nfunction randInt( low, high ) {\n\n\treturn low + Math.floor( Math.random() * ( high - low + 1 ) );\n\n}\n\n// Random float from interval\nfunction randFloat( low, high ) {\n\n\treturn low + Math.random() * ( high - low );\n\n}\n\n// Random float from <-range/2, range/2> interval\nfunction randFloatSpread( range ) {\n\n\treturn range * ( 0.5 - Math.random() );\n\n}\n\n// Deterministic pseudo-random float in the interval [ 0, 1 ]\nfunction seededRandom( s ) {\n\n\tif ( s !== undefined ) _seed = s;\n\n\t// Mulberry32 generator\n\n\tlet t = _seed += 0x6D2B79F5;\n\n\tt = Math.imul( t ^ t >>> 15, t | 1 );\n\n\tt ^= t + Math.imul( t ^ t >>> 7, t | 61 );\n\n\treturn ( ( t ^ t >>> 14 ) >>> 0 ) / 4294967296;\n\n}\n\nfunction degToRad( degrees ) {\n\n\treturn degrees * DEG2RAD;\n\n}\n\nfunction radToDeg( radians ) {\n\n\treturn radians * RAD2DEG;\n\n}\n\nfunction isPowerOfTwo( value ) {\n\n\treturn ( value & ( value - 1 ) ) === 0 && value !== 0;\n\n}\n\nfunction ceilPowerOfTwo( value ) {\n\n\treturn Math.pow( 2, Math.ceil( Math.log( value ) / Math.LN2 ) );\n\n}\n\nfunction floorPowerOfTwo( value ) {\n\n\treturn Math.pow( 2, Math.floor( Math.log( value ) / Math.LN2 ) );\n\n}\n\nfunction setQuaternionFromProperEuler( q, a, b, c, order ) {\n\n\t// Intrinsic Proper Euler Angles - see https://en.wikipedia.org/wiki/Euler_angles\n\n\t// rotations are applied to the axes in the order specified by 'order'\n\t// rotation by angle 'a' is applied first, then by angle 'b', then by angle 'c'\n\t// angles are in radians\n\n\tconst cos = Math.cos;\n\tconst sin = Math.sin;\n\n\tconst c2 = cos( b / 2 );\n\tconst s2 = sin( b / 2 );\n\n\tconst c13 = cos( ( a + c ) / 2 );\n\tconst s13 = sin( ( a + c ) / 2 );\n\n\tconst c1_3 = cos( ( a - c ) / 2 );\n\tconst s1_3 = sin( ( a - c ) / 2 );\n\n\tconst c3_1 = cos( ( c - a ) / 2 );\n\tconst s3_1 = sin( ( c - a ) / 2 );\n\n\tswitch ( order ) {\n\n\t\tcase 'XYX':\n\t\t\tq.set( c2 * s13, s2 * c1_3, s2 * s1_3, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'YZY':\n\t\t\tq.set( s2 * s1_3, c2 * s13, s2 * c1_3, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'ZXZ':\n\t\t\tq.set( s2 * c1_3, s2 * s1_3, c2 * s13, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'XZX':\n\t\t\tq.set( c2 * s13, s2 * s3_1, s2 * c3_1, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'YXY':\n\t\t\tq.set( s2 * c3_1, c2 * s13, s2 * s3_1, c2 * c13 );\n\t\t\tbreak;\n\n\t\tcase 'ZYZ':\n\t\t\tq.set( s2 * s3_1, s2 * c3_1, c2 * s13, c2 * c13 );\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order: ' + order );\n\n\t}\n\n}\n\nfunction denormalize( value, array ) {\n\n\tswitch ( array.constructor ) {\n\n\t\tcase Float32Array:\n\n\t\t\treturn value;\n\n\t\tcase Uint32Array:\n\n\t\t\treturn value / 4294967295.0;\n\n\t\tcase Uint16Array:\n\n\t\t\treturn value / 65535.0;\n\n\t\tcase Uint8Array:\n\n\t\t\treturn value / 255.0;\n\n\t\tcase Int32Array:\n\n\t\t\treturn Math.max( value / 2147483647.0, - 1.0 );\n\n\t\tcase Int16Array:\n\n\t\t\treturn Math.max( value / 32767.0, - 1.0 );\n\n\t\tcase Int8Array:\n\n\t\t\treturn Math.max( value / 127.0, - 1.0 );\n\n\t\tdefault:\n\n\t\t\tthrow new Error( 'Invalid component type.' );\n\n\t}\n\n}\n\nfunction normalize( value, array ) {\n\n\tswitch ( array.constructor ) {\n\n\t\tcase Float32Array:\n\n\t\t\treturn value;\n\n\t\tcase Uint32Array:\n\n\t\t\treturn Math.round( value * 4294967295.0 );\n\n\t\tcase Uint16Array:\n\n\t\t\treturn Math.round( value * 65535.0 );\n\n\t\tcase Uint8Array:\n\n\t\t\treturn Math.round( value * 255.0 );\n\n\t\tcase Int32Array:\n\n\t\t\treturn Math.round( value * 2147483647.0 );\n\n\t\tcase Int16Array:\n\n\t\t\treturn Math.round( value * 32767.0 );\n\n\t\tcase Int8Array:\n\n\t\t\treturn Math.round( value * 127.0 );\n\n\t\tdefault:\n\n\t\t\tthrow new Error( 'Invalid component type.' );\n\n\t}\n\n}\n\nconst MathUtils = {\n\tDEG2RAD: DEG2RAD,\n\tRAD2DEG: RAD2DEG,\n\tgenerateUUID: generateUUID,\n\tclamp: clamp,\n\teuclideanModulo: euclideanModulo,\n\tmapLinear: mapLinear,\n\tinverseLerp: inverseLerp,\n\tlerp: lerp,\n\tdamp: damp,\n\tpingpong: pingpong,\n\tsmoothstep: smoothstep,\n\tsmootherstep: smootherstep,\n\trandInt: randInt,\n\trandFloat: randFloat,\n\trandFloatSpread: randFloatSpread,\n\tseededRandom: seededRandom,\n\tdegToRad: degToRad,\n\tradToDeg: radToDeg,\n\tisPowerOfTwo: isPowerOfTwo,\n\tceilPowerOfTwo: ceilPowerOfTwo,\n\tfloorPowerOfTwo: floorPowerOfTwo,\n\tsetQuaternionFromProperEuler: setQuaternionFromProperEuler,\n\tnormalize: normalize,\n\tdenormalize: denormalize\n};\n\nclass Vector2 {\n\n\tconstructor( x = 0, y = 0 ) {\n\n\t\tVector2.prototype.isVector2 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\n\t}\n\n\tget width() {\n\n\t\treturn this.x;\n\n\t}\n\n\tset width( value ) {\n\n\t\tthis.x = value;\n\n\t}\n\n\tget height() {\n\n\t\treturn this.y;\n\n\t}\n\n\tset height( value ) {\n\n\t\tthis.y = value;\n\n\t}\n\n\tset( x, y ) {\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tdivide( v ) {\n\n\t\tthis.x /= v.x;\n\t\tthis.y /= v.y;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst x = this.x, y = this.y;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 3 ] * y + e[ 6 ];\n\t\tthis.y = e[ 1 ] * x + e[ 4 ] * y + e[ 7 ];\n\n\t\treturn this;\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y;\n\n\t}\n\n\tcross( v ) {\n\n\t\treturn this.x * v.y - this.y * v.x;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tangle() {\n\n\t\t// computes the angle in radians with respect to the positive x-axis\n\n\t\tconst angle = Math.atan2( - this.y, - this.x ) + Math.PI;\n\n\t\treturn angle;\n\n\t}\n\n\tangleTo( v ) {\n\n\t\tconst denominator = Math.sqrt( this.lengthSq() * v.lengthSq() );\n\n\t\tif ( denominator === 0 ) return Math.PI / 2;\n\n\t\tconst theta = this.dot( v ) / denominator;\n\n\t\t// clamp, to handle numerical problems\n\n\t\treturn Math.acos( clamp( theta, - 1, 1 ) );\n\n\t}\n\n\tdistanceTo( v ) {\n\n\t\treturn Math.sqrt( this.distanceToSquared( v ) );\n\n\t}\n\n\tdistanceToSquared( v ) {\n\n\t\tconst dx = this.x - v.x, dy = this.y - v.y;\n\t\treturn dx * dx + dy * dy;\n\n\t}\n\n\tmanhattanDistanceTo( v ) {\n\n\t\treturn Math.abs( this.x - v.x ) + Math.abs( this.y - v.y );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\n\t\treturn this;\n\n\t}\n\n\trotateAround( center, angle ) {\n\n\t\tconst c = Math.cos( angle ), s = Math.sin( angle );\n\n\t\tconst x = this.x - center.x;\n\t\tconst y = this.y - center.y;\n\n\t\tthis.x = x * c - y * s + center.x;\n\t\tthis.y = x * s + y * c + center.y;\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\n\t}\n\n}\n\nclass Matrix3 {\n\n\tconstructor( n11, n12, n13, n21, n22, n23, n31, n32, n33 ) {\n\n\t\tMatrix3.prototype.isMatrix3 = true;\n\n\t\tthis.elements = [\n\n\t\t\t1, 0, 0,\n\t\t\t0, 1, 0,\n\t\t\t0, 0, 1\n\n\t\t];\n\n\t\tif ( n11 !== undefined ) {\n\n\t\t\tthis.set( n11, n12, n13, n21, n22, n23, n31, n32, n33 );\n\n\t\t}\n\n\t}\n\n\tset( n11, n12, n13, n21, n22, n23, n31, n32, n33 ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] = n11; te[ 1 ] = n21; te[ 2 ] = n31;\n\t\tte[ 3 ] = n12; te[ 4 ] = n22; te[ 5 ] = n32;\n\t\tte[ 6 ] = n13; te[ 7 ] = n23; te[ 8 ] = n33;\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0,\n\t\t\t0, 1, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tcopy( m ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tte[ 0 ] = me[ 0 ]; te[ 1 ] = me[ 1 ]; te[ 2 ] = me[ 2 ];\n\t\tte[ 3 ] = me[ 3 ]; te[ 4 ] = me[ 4 ]; te[ 5 ] = me[ 5 ];\n\t\tte[ 6 ] = me[ 6 ]; te[ 7 ] = me[ 7 ]; te[ 8 ] = me[ 8 ];\n\n\t\treturn this;\n\n\t}\n\n\textractBasis( xAxis, yAxis, zAxis ) {\n\n\t\txAxis.setFromMatrix3Column( this, 0 );\n\t\tyAxis.setFromMatrix3Column( this, 1 );\n\t\tzAxis.setFromMatrix3Column( this, 2 );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrix4( m ) {\n\n\t\tconst me = m.elements;\n\n\t\tthis.set(\n\n\t\t\tme[ 0 ], me[ 4 ], me[ 8 ],\n\t\t\tme[ 1 ], me[ 5 ], me[ 9 ],\n\t\t\tme[ 2 ], me[ 6 ], me[ 10 ]\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( m ) {\n\n\t\treturn this.multiplyMatrices( this, m );\n\n\t}\n\n\tpremultiply( m ) {\n\n\t\treturn this.multiplyMatrices( m, this );\n\n\t}\n\n\tmultiplyMatrices( a, b ) {\n\n\t\tconst ae = a.elements;\n\t\tconst be = b.elements;\n\t\tconst te = this.elements;\n\n\t\tconst a11 = ae[ 0 ], a12 = ae[ 3 ], a13 = ae[ 6 ];\n\t\tconst a21 = ae[ 1 ], a22 = ae[ 4 ], a23 = ae[ 7 ];\n\t\tconst a31 = ae[ 2 ], a32 = ae[ 5 ], a33 = ae[ 8 ];\n\n\t\tconst b11 = be[ 0 ], b12 = be[ 3 ], b13 = be[ 6 ];\n\t\tconst b21 = be[ 1 ], b22 = be[ 4 ], b23 = be[ 7 ];\n\t\tconst b31 = be[ 2 ], b32 = be[ 5 ], b33 = be[ 8 ];\n\n\t\tte[ 0 ] = a11 * b11 + a12 * b21 + a13 * b31;\n\t\tte[ 3 ] = a11 * b12 + a12 * b22 + a13 * b32;\n\t\tte[ 6 ] = a11 * b13 + a12 * b23 + a13 * b33;\n\n\t\tte[ 1 ] = a21 * b11 + a22 * b21 + a23 * b31;\n\t\tte[ 4 ] = a21 * b12 + a22 * b22 + a23 * b32;\n\t\tte[ 7 ] = a21 * b13 + a22 * b23 + a23 * b33;\n\n\t\tte[ 2 ] = a31 * b11 + a32 * b21 + a33 * b31;\n\t\tte[ 5 ] = a31 * b12 + a32 * b22 + a33 * b32;\n\t\tte[ 8 ] = a31 * b13 + a32 * b23 + a33 * b33;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] *= s; te[ 3 ] *= s; te[ 6 ] *= s;\n\t\tte[ 1 ] *= s; te[ 4 ] *= s; te[ 7 ] *= s;\n\t\tte[ 2 ] *= s; te[ 5 ] *= s; te[ 8 ] *= s;\n\n\t\treturn this;\n\n\t}\n\n\tdeterminant() {\n\n\t\tconst te = this.elements;\n\n\t\tconst a = te[ 0 ], b = te[ 1 ], c = te[ 2 ],\n\t\t\td = te[ 3 ], e = te[ 4 ], f = te[ 5 ],\n\t\t\tg = te[ 6 ], h = te[ 7 ], i = te[ 8 ];\n\n\t\treturn a * e * i - a * f * h - b * d * i + b * f * g + c * d * h - c * e * g;\n\n\t}\n\n\tinvert() {\n\n\t\tconst te = this.elements,\n\n\t\t\tn11 = te[ 0 ], n21 = te[ 1 ], n31 = te[ 2 ],\n\t\t\tn12 = te[ 3 ], n22 = te[ 4 ], n32 = te[ 5 ],\n\t\t\tn13 = te[ 6 ], n23 = te[ 7 ], n33 = te[ 8 ],\n\n\t\t\tt11 = n33 * n22 - n32 * n23,\n\t\t\tt12 = n32 * n13 - n33 * n12,\n\t\t\tt13 = n23 * n12 - n22 * n13,\n\n\t\t\tdet = n11 * t11 + n21 * t12 + n31 * t13;\n\n\t\tif ( det === 0 ) return this.set( 0, 0, 0, 0, 0, 0, 0, 0, 0 );\n\n\t\tconst detInv = 1 / det;\n\n\t\tte[ 0 ] = t11 * detInv;\n\t\tte[ 1 ] = ( n31 * n23 - n33 * n21 ) * detInv;\n\t\tte[ 2 ] = ( n32 * n21 - n31 * n22 ) * detInv;\n\n\t\tte[ 3 ] = t12 * detInv;\n\t\tte[ 4 ] = ( n33 * n11 - n31 * n13 ) * detInv;\n\t\tte[ 5 ] = ( n31 * n12 - n32 * n11 ) * detInv;\n\n\t\tte[ 6 ] = t13 * detInv;\n\t\tte[ 7 ] = ( n21 * n13 - n23 * n11 ) * detInv;\n\t\tte[ 8 ] = ( n22 * n11 - n21 * n12 ) * detInv;\n\n\t\treturn this;\n\n\t}\n\n\ttranspose() {\n\n\t\tlet tmp;\n\t\tconst m = this.elements;\n\n\t\ttmp = m[ 1 ]; m[ 1 ] = m[ 3 ]; m[ 3 ] = tmp;\n\t\ttmp = m[ 2 ]; m[ 2 ] = m[ 6 ]; m[ 6 ] = tmp;\n\t\ttmp = m[ 5 ]; m[ 5 ] = m[ 7 ]; m[ 7 ] = tmp;\n\n\t\treturn this;\n\n\t}\n\n\tgetNormalMatrix( matrix4 ) {\n\n\t\treturn this.setFromMatrix4( matrix4 ).invert().transpose();\n\n\t}\n\n\ttransposeIntoArray( r ) {\n\n\t\tconst m = this.elements;\n\n\t\tr[ 0 ] = m[ 0 ];\n\t\tr[ 1 ] = m[ 3 ];\n\t\tr[ 2 ] = m[ 6 ];\n\t\tr[ 3 ] = m[ 1 ];\n\t\tr[ 4 ] = m[ 4 ];\n\t\tr[ 5 ] = m[ 7 ];\n\t\tr[ 6 ] = m[ 2 ];\n\t\tr[ 7 ] = m[ 5 ];\n\t\tr[ 8 ] = m[ 8 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetUvTransform( tx, ty, sx, sy, rotation, cx, cy ) {\n\n\t\tconst c = Math.cos( rotation );\n\t\tconst s = Math.sin( rotation );\n\n\t\tthis.set(\n\t\t\tsx * c, sx * s, - sx * ( c * cx + s * cy ) + cx + tx,\n\t\t\t- sy * s, sy * c, - sy * ( - s * cx + c * cy ) + cy + ty,\n\t\t\t0, 0, 1\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\t//\n\n\tscale( sx, sy ) {\n\n\t\tthis.premultiply( _m3.makeScale( sx, sy ) );\n\n\t\treturn this;\n\n\t}\n\n\trotate( theta ) {\n\n\t\tthis.premultiply( _m3.makeRotation( - theta ) );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( tx, ty ) {\n\n\t\tthis.premultiply( _m3.makeTranslation( tx, ty ) );\n\n\t\treturn this;\n\n\t}\n\n\t// for 2D Transforms\n\n\tmakeTranslation( x, y ) {\n\n\t\tif ( x.isVector2 ) {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, x.x,\n\t\t\t\t0, 1, x.y,\n\t\t\t\t0, 0, 1\n\n\t\t\t);\n\n\t\t} else {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, x,\n\t\t\t\t0, 1, y,\n\t\t\t\t0, 0, 1\n\n\t\t\t);\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotation( theta ) {\n\n\t\t// counterclockwise\n\n\t\tconst c = Math.cos( theta );\n\t\tconst s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\tc, - s, 0,\n\t\t\ts, c, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeScale( x, y ) {\n\n\t\tthis.set(\n\n\t\t\tx, 0, 0,\n\t\t\t0, y, 0,\n\t\t\t0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\t//\n\n\tequals( matrix ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = matrix.elements;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tif ( te[ i ] !== me[ i ] ) return false;\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.elements[ i ] = array[ i + offset ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst te = this.elements;\n\n\t\tarray[ offset ] = te[ 0 ];\n\t\tarray[ offset + 1 ] = te[ 1 ];\n\t\tarray[ offset + 2 ] = te[ 2 ];\n\n\t\tarray[ offset + 3 ] = te[ 3 ];\n\t\tarray[ offset + 4 ] = te[ 4 ];\n\t\tarray[ offset + 5 ] = te[ 5 ];\n\n\t\tarray[ offset + 6 ] = te[ 6 ];\n\t\tarray[ offset + 7 ] = te[ 7 ];\n\t\tarray[ offset + 8 ] = te[ 8 ];\n\n\t\treturn array;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().fromArray( this.elements );\n\n\t}\n\n}\n\nconst _m3 = /*@__PURE__*/ new Matrix3();\n\nfunction arrayNeedsUint32( array ) {\n\n\t// assumes larger values usually on last\n\n\tfor ( let i = array.length - 1; i >= 0; -- i ) {\n\n\t\tif ( array[ i ] >= 65535 ) return true; // account for PRIMITIVE_RESTART_FIXED_INDEX, #24565\n\n\t}\n\n\treturn false;\n\n}\n\nconst TYPED_ARRAYS = {\n\tInt8Array: Int8Array,\n\tUint8Array: Uint8Array,\n\tUint8ClampedArray: Uint8ClampedArray,\n\tInt16Array: Int16Array,\n\tUint16Array: Uint16Array,\n\tInt32Array: Int32Array,\n\tUint32Array: Uint32Array,\n\tFloat32Array: Float32Array,\n\tFloat64Array: Float64Array\n};\n\nfunction getTypedArray( type, buffer ) {\n\n\treturn new TYPED_ARRAYS[ type ]( buffer );\n\n}\n\nfunction createElementNS( name ) {\n\n\treturn document.createElementNS( 'http://www.w3.org/1999/xhtml', name );\n\n}\n\nfunction createCanvasElement() {\n\n\tconst canvas = createElementNS( 'canvas' );\n\tcanvas.style.display = 'block';\n\treturn canvas;\n\n}\n\nconst _cache = {};\n\nfunction warnOnce( message ) {\n\n\tif ( message in _cache ) return;\n\n\t_cache[ message ] = true;\n\n\tconsole.warn( message );\n\n}\n\n/**\n * Matrices converting P3 <-> Rec. 709 primaries, without gamut mapping\n * or clipping. Based on W3C specifications for sRGB and Display P3,\n * and ICC specifications for the D50 connection space. Values in/out\n * are _linear_ sRGB and _linear_ Display P3.\n *\n * Note that both sRGB and Display P3 use the sRGB transfer functions.\n *\n * Reference:\n * - http://www.russellcottrell.com/photo/matrixCalculator.htm\n */\n\nconst LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = /*@__PURE__*/ new Matrix3().set(\n\t0.8224621, 0.177538, 0.0,\n\t0.0331941, 0.9668058, 0.0,\n\t0.0170827, 0.0723974, 0.9105199,\n);\n\nconst LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = /*@__PURE__*/ new Matrix3().set(\n\t1.2249401, - 0.2249404, 0.0,\n\t- 0.0420569, 1.0420571, 0.0,\n\t- 0.0196376, - 0.0786361, 1.0982735\n);\n\n/**\n * Defines supported color spaces by transfer function and primaries,\n * and provides conversions to/from the Linear-sRGB reference space.\n */\nconst COLOR_SPACES = {\n\t[ LinearSRGBColorSpace ]: {\n\t\ttransfer: LinearTransfer,\n\t\tprimaries: Rec709Primaries,\n\t\ttoReference: ( color ) => color,\n\t\tfromReference: ( color ) => color,\n\t},\n\t[ SRGBColorSpace ]: {\n\t\ttransfer: SRGBTransfer,\n\t\tprimaries: Rec709Primaries,\n\t\ttoReference: ( color ) => color.convertSRGBToLinear(),\n\t\tfromReference: ( color ) => color.convertLinearToSRGB(),\n\t},\n\t[ LinearDisplayP3ColorSpace ]: {\n\t\ttransfer: LinearTransfer,\n\t\tprimaries: P3Primaries,\n\t\ttoReference: ( color ) => color.applyMatrix3( LINEAR_DISPLAY_P3_TO_LINEAR_SRGB ),\n\t\tfromReference: ( color ) => color.applyMatrix3( LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 ),\n\t},\n\t[ DisplayP3ColorSpace ]: {\n\t\ttransfer: SRGBTransfer,\n\t\tprimaries: P3Primaries,\n\t\ttoReference: ( color ) => color.convertSRGBToLinear().applyMatrix3( LINEAR_DISPLAY_P3_TO_LINEAR_SRGB ),\n\t\tfromReference: ( color ) => color.applyMatrix3( LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 ).convertLinearToSRGB(),\n\t},\n};\n\nconst SUPPORTED_WORKING_COLOR_SPACES = new Set( [ LinearSRGBColorSpace, LinearDisplayP3ColorSpace ] );\n\nconst ColorManagement = {\n\n\tenabled: true,\n\n\t_workingColorSpace: LinearSRGBColorSpace,\n\n\tget workingColorSpace() {\n\n\t\treturn this._workingColorSpace;\n\n\t},\n\n\tset workingColorSpace( colorSpace ) {\n\n\t\tif ( ! SUPPORTED_WORKING_COLOR_SPACES.has( colorSpace ) ) {\n\n\t\t\tthrow new Error( `Unsupported working color space, \"${ colorSpace }\".` );\n\n\t\t}\n\n\t\tthis._workingColorSpace = colorSpace;\n\n\t},\n\n\tconvert: function ( color, sourceColorSpace, targetColorSpace ) {\n\n\t\tif ( this.enabled === false || sourceColorSpace === targetColorSpace || ! sourceColorSpace || ! targetColorSpace ) {\n\n\t\t\treturn color;\n\n\t\t}\n\n\t\tconst sourceToReference = COLOR_SPACES[ sourceColorSpace ].toReference;\n\t\tconst targetFromReference = COLOR_SPACES[ targetColorSpace ].fromReference;\n\n\t\treturn targetFromReference( sourceToReference( color ) );\n\n\t},\n\n\tfromWorkingColorSpace: function ( color, targetColorSpace ) {\n\n\t\treturn this.convert( color, this._workingColorSpace, targetColorSpace );\n\n\t},\n\n\ttoWorkingColorSpace: function ( color, sourceColorSpace ) {\n\n\t\treturn this.convert( color, sourceColorSpace, this._workingColorSpace );\n\n\t},\n\n\tgetPrimaries: function ( colorSpace ) {\n\n\t\treturn COLOR_SPACES[ colorSpace ].primaries;\n\n\t},\n\n\tgetTransfer: function ( colorSpace ) {\n\n\t\tif ( colorSpace === NoColorSpace ) return LinearTransfer;\n\n\t\treturn COLOR_SPACES[ colorSpace ].transfer;\n\n\t},\n\n};\n\n\nfunction SRGBToLinear( c ) {\n\n\treturn ( c < 0.04045 ) ? c * 0.0773993808 : Math.pow( c * 0.9478672986 + 0.0521327014, 2.4 );\n\n}\n\nfunction LinearToSRGB( c ) {\n\n\treturn ( c < 0.0031308 ) ? c * 12.92 : 1.055 * ( Math.pow( c, 0.41666 ) ) - 0.055;\n\n}\n\nlet _canvas;\n\nclass ImageUtils {\n\n\tstatic getDataURL( image ) {\n\n\t\tif ( /^data:/i.test( image.src ) ) {\n\n\t\t\treturn image.src;\n\n\t\t}\n\n\t\tif ( typeof HTMLCanvasElement === 'undefined' ) {\n\n\t\t\treturn image.src;\n\n\t\t}\n\n\t\tlet canvas;\n\n\t\tif ( image instanceof HTMLCanvasElement ) {\n\n\t\t\tcanvas = image;\n\n\t\t} else {\n\n\t\t\tif ( _canvas === undefined ) _canvas = createElementNS( 'canvas' );\n\n\t\t\t_canvas.width = image.width;\n\t\t\t_canvas.height = image.height;\n\n\t\t\tconst context = _canvas.getContext( '2d' );\n\n\t\t\tif ( image instanceof ImageData ) {\n\n\t\t\t\tcontext.putImageData( image, 0, 0 );\n\n\t\t\t} else {\n\n\t\t\t\tcontext.drawImage( image, 0, 0, image.width, image.height );\n\n\t\t\t}\n\n\t\t\tcanvas = _canvas;\n\n\t\t}\n\n\t\tif ( canvas.width > 2048 || canvas.height > 2048 ) {\n\n\t\t\tconsole.warn( 'THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons', image );\n\n\t\t\treturn canvas.toDataURL( 'image/jpeg', 0.6 );\n\n\t\t} else {\n\n\t\t\treturn canvas.toDataURL( 'image/png' );\n\n\t\t}\n\n\t}\n\n\tstatic sRGBToLinear( image ) {\n\n\t\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t\tconst canvas = createElementNS( 'canvas' );\n\n\t\t\tcanvas.width = image.width;\n\t\t\tcanvas.height = image.height;\n\n\t\t\tconst context = canvas.getContext( '2d' );\n\t\t\tcontext.drawImage( image, 0, 0, image.width, image.height );\n\n\t\t\tconst imageData = context.getImageData( 0, 0, image.width, image.height );\n\t\t\tconst data = imageData.data;\n\n\t\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\t\tdata[ i ] = SRGBToLinear( data[ i ] / 255 ) * 255;\n\n\t\t\t}\n\n\t\t\tcontext.putImageData( imageData, 0, 0 );\n\n\t\t\treturn canvas;\n\n\t\t} else if ( image.data ) {\n\n\t\t\tconst data = image.data.slice( 0 );\n\n\t\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\t\tif ( data instanceof Uint8Array || data instanceof Uint8ClampedArray ) {\n\n\t\t\t\t\tdata[ i ] = Math.floor( SRGBToLinear( data[ i ] / 255 ) * 255 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// assuming float\n\n\t\t\t\t\tdata[ i ] = SRGBToLinear( data[ i ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tdata: data,\n\t\t\t\twidth: image.width,\n\t\t\t\theight: image.height\n\t\t\t};\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied.' );\n\t\t\treturn image;\n\n\t\t}\n\n\t}\n\n}\n\nlet _sourceId = 0;\n\nclass Source {\n\n\tconstructor( data = null ) {\n\n\t\tthis.isSource = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _sourceId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.data = data;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( ! isRootObject && meta.images[ this.uuid ] !== undefined ) {\n\n\t\t\treturn meta.images[ this.uuid ];\n\n\t\t}\n\n\t\tconst output = {\n\t\t\tuuid: this.uuid,\n\t\t\turl: ''\n\t\t};\n\n\t\tconst data = this.data;\n\n\t\tif ( data !== null ) {\n\n\t\t\tlet url;\n\n\t\t\tif ( Array.isArray( data ) ) {\n\n\t\t\t\t// cube texture\n\n\t\t\t\turl = [];\n\n\t\t\t\tfor ( let i = 0, l = data.length; i < l; i ++ ) {\n\n\t\t\t\t\tif ( data[ i ].isDataTexture ) {\n\n\t\t\t\t\t\turl.push( serializeImage( data[ i ].image ) );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\turl.push( serializeImage( data[ i ] ) );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// texture\n\n\t\t\t\turl = serializeImage( data );\n\n\t\t\t}\n\n\t\t\toutput.url = url;\n\n\t\t}\n\n\t\tif ( ! isRootObject ) {\n\n\t\t\tmeta.images[ this.uuid ] = output;\n\n\t\t}\n\n\t\treturn output;\n\n\t}\n\n}\n\nfunction serializeImage( image ) {\n\n\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t// default images\n\n\t\treturn ImageUtils.getDataURL( image );\n\n\t} else {\n\n\t\tif ( image.data ) {\n\n\t\t\t// images of DataTexture\n\n\t\t\treturn {\n\t\t\t\tdata: Array.from( image.data ),\n\t\t\t\twidth: image.width,\n\t\t\t\theight: image.height,\n\t\t\t\ttype: image.data.constructor.name\n\t\t\t};\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.Texture: Unable to serialize Texture.' );\n\t\t\treturn {};\n\n\t\t}\n\n\t}\n\n}\n\nlet _textureId = 0;\n\nclass Texture extends EventDispatcher {\n\n\tconstructor( image = Texture.DEFAULT_IMAGE, mapping = Texture.DEFAULT_MAPPING, wrapS = ClampToEdgeWrapping, wrapT = ClampToEdgeWrapping, magFilter = LinearFilter, minFilter = LinearMipmapLinearFilter, format = RGBAFormat, type = UnsignedByteType, anisotropy = Texture.DEFAULT_ANISOTROPY, colorSpace = NoColorSpace ) {\n\n\t\tsuper();\n\n\t\tthis.isTexture = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _textureId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\n\t\tthis.source = new Source( image );\n\t\tthis.mipmaps = [];\n\n\t\tthis.mapping = mapping;\n\t\tthis.channel = 0;\n\n\t\tthis.wrapS = wrapS;\n\t\tthis.wrapT = wrapT;\n\n\t\tthis.magFilter = magFilter;\n\t\tthis.minFilter = minFilter;\n\n\t\tthis.anisotropy = anisotropy;\n\n\t\tthis.format = format;\n\t\tthis.internalFormat = null;\n\t\tthis.type = type;\n\n\t\tthis.offset = new Vector2( 0, 0 );\n\t\tthis.repeat = new Vector2( 1, 1 );\n\t\tthis.center = new Vector2( 0, 0 );\n\t\tthis.rotation = 0;\n\n\t\tthis.matrixAutoUpdate = true;\n\t\tthis.matrix = new Matrix3();\n\n\t\tthis.generateMipmaps = true;\n\t\tthis.premultiplyAlpha = false;\n\t\tthis.flipY = true;\n\t\tthis.unpackAlignment = 4;\t// valid values: 1, 2, 4, 8 (see http://www.khronos.org/opengles/sdk/docs/man/xhtml/glPixelStorei.xml)\n\n\t\tif ( typeof colorSpace === 'string' ) {\n\n\t\t\tthis.colorSpace = colorSpace;\n\n\t\t} else { // @deprecated, r152\n\n\t\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\t\tthis.colorSpace = colorSpace === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\n\t\tthis.userData = {};\n\n\t\tthis.version = 0;\n\t\tthis.onUpdate = null;\n\n\t\tthis.isRenderTargetTexture = false; // indicates whether a texture belongs to a render target or not\n\t\tthis.needsPMREMUpdate = false; // indicates whether this texture should be processed by PMREMGenerator or not (only relevant for render target textures)\n\n\t}\n\n\tget image() {\n\n\t\treturn this.source.data;\n\n\t}\n\n\tset image( value = null ) {\n\n\t\tthis.source.data = value;\n\n\t}\n\n\tupdateMatrix() {\n\n\t\tthis.matrix.setUvTransform( this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.source = source.source;\n\t\tthis.mipmaps = source.mipmaps.slice( 0 );\n\n\t\tthis.mapping = source.mapping;\n\t\tthis.channel = source.channel;\n\n\t\tthis.wrapS = source.wrapS;\n\t\tthis.wrapT = source.wrapT;\n\n\t\tthis.magFilter = source.magFilter;\n\t\tthis.minFilter = source.minFilter;\n\n\t\tthis.anisotropy = source.anisotropy;\n\n\t\tthis.format = source.format;\n\t\tthis.internalFormat = source.internalFormat;\n\t\tthis.type = source.type;\n\n\t\tthis.offset.copy( source.offset );\n\t\tthis.repeat.copy( source.repeat );\n\t\tthis.center.copy( source.center );\n\t\tthis.rotation = source.rotation;\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\t\tthis.matrix.copy( source.matrix );\n\n\t\tthis.generateMipmaps = source.generateMipmaps;\n\t\tthis.premultiplyAlpha = source.premultiplyAlpha;\n\t\tthis.flipY = source.flipY;\n\t\tthis.unpackAlignment = source.unpackAlignment;\n\t\tthis.colorSpace = source.colorSpace;\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\tthis.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( ! isRootObject && meta.textures[ this.uuid ] !== undefined ) {\n\n\t\t\treturn meta.textures[ this.uuid ];\n\n\t\t}\n\n\t\tconst output = {\n\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Texture',\n\t\t\t\tgenerator: 'Texture.toJSON'\n\t\t\t},\n\n\t\t\tuuid: this.uuid,\n\t\t\tname: this.name,\n\n\t\t\timage: this.source.toJSON( meta ).uuid,\n\n\t\t\tmapping: this.mapping,\n\t\t\tchannel: this.channel,\n\n\t\t\trepeat: [ this.repeat.x, this.repeat.y ],\n\t\t\toffset: [ this.offset.x, this.offset.y ],\n\t\t\tcenter: [ this.center.x, this.center.y ],\n\t\t\trotation: this.rotation,\n\n\t\t\twrap: [ this.wrapS, this.wrapT ],\n\n\t\t\tformat: this.format,\n\t\t\tinternalFormat: this.internalFormat,\n\t\t\ttype: this.type,\n\t\t\tcolorSpace: this.colorSpace,\n\n\t\t\tminFilter: this.minFilter,\n\t\t\tmagFilter: this.magFilter,\n\t\t\tanisotropy: this.anisotropy,\n\n\t\t\tflipY: this.flipY,\n\n\t\t\tgenerateMipmaps: this.generateMipmaps,\n\t\t\tpremultiplyAlpha: this.premultiplyAlpha,\n\t\t\tunpackAlignment: this.unpackAlignment\n\n\t\t};\n\n\t\tif ( Object.keys( this.userData ).length > 0 ) output.userData = this.userData;\n\n\t\tif ( ! isRootObject ) {\n\n\t\t\tmeta.textures[ this.uuid ] = output;\n\n\t\t}\n\n\t\treturn output;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n\ttransformUv( uv ) {\n\n\t\tif ( this.mapping !== UVMapping ) return uv;\n\n\t\tuv.applyMatrix3( this.matrix );\n\n\t\tif ( uv.x < 0 || uv.x > 1 ) {\n\n\t\t\tswitch ( this.wrapS ) {\n\n\t\t\t\tcase RepeatWrapping:\n\n\t\t\t\t\tuv.x = uv.x - Math.floor( uv.x );\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ClampToEdgeWrapping:\n\n\t\t\t\t\tuv.x = uv.x < 0 ? 0 : 1;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MirroredRepeatWrapping:\n\n\t\t\t\t\tif ( Math.abs( Math.floor( uv.x ) % 2 ) === 1 ) {\n\n\t\t\t\t\t\tuv.x = Math.ceil( uv.x ) - uv.x;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tuv.x = uv.x - Math.floor( uv.x );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( uv.y < 0 || uv.y > 1 ) {\n\n\t\t\tswitch ( this.wrapT ) {\n\n\t\t\t\tcase RepeatWrapping:\n\n\t\t\t\t\tuv.y = uv.y - Math.floor( uv.y );\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ClampToEdgeWrapping:\n\n\t\t\t\t\tuv.y = uv.y < 0 ? 0 : 1;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MirroredRepeatWrapping:\n\n\t\t\t\t\tif ( Math.abs( Math.floor( uv.y ) % 2 ) === 1 ) {\n\n\t\t\t\t\t\tuv.y = Math.ceil( uv.y ) - uv.y;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tuv.y = uv.y - Math.floor( uv.y );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.flipY ) {\n\n\t\t\tuv.y = 1 - uv.y;\n\n\t\t}\n\n\t\treturn uv;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) {\n\n\t\t\tthis.version ++;\n\t\t\tthis.source.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tget encoding() { // @deprecated, r152\n\n\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\treturn this.colorSpace === SRGBColorSpace ? sRGBEncoding : LinearEncoding;\n\n\t}\n\n\tset encoding( encoding ) { // @deprecated, r152\n\n\t\twarnOnce( 'THREE.Texture: Property .encoding has been replaced by .colorSpace.' );\n\t\tthis.colorSpace = encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t}\n\n}\n\nTexture.DEFAULT_IMAGE = null;\nTexture.DEFAULT_MAPPING = UVMapping;\nTexture.DEFAULT_ANISOTROPY = 1;\n\nclass Vector4 {\n\n\tconstructor( x = 0, y = 0, z = 0, w = 1 ) {\n\n\t\tVector4.prototype.isVector4 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\t\tthis.w = w;\n\n\t}\n\n\tget width() {\n\n\t\treturn this.z;\n\n\t}\n\n\tset width( value ) {\n\n\t\tthis.z = value;\n\n\t}\n\n\tget height() {\n\n\t\treturn this.w;\n\n\t}\n\n\tset height( value ) {\n\n\t\tthis.w = value;\n\n\t}\n\n\tset( x, y, z, w ) {\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\t\tthis.w = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\t\tthis.z = scalar;\n\t\tthis.w = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( z ) {\n\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetW( w ) {\n\n\t\tthis.w = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tcase 2: this.z = value; break;\n\t\t\tcase 3: this.w = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tcase 2: return this.z;\n\t\t\tcase 3: return this.w;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y, this.z, this.w );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\t\tthis.z = v.z;\n\t\tthis.w = ( v.w !== undefined ) ? v.w : 1;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\t\tthis.z += v.z;\n\t\tthis.w += v.w;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\t\tthis.z += s;\n\t\tthis.w += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\t\tthis.z = a.z + b.z;\n\t\tthis.w = a.w + b.w;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\t\tthis.z += v.z * s;\n\t\tthis.w += v.w * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\t\tthis.z -= v.z;\n\t\tthis.w -= v.w;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\t\tthis.z -= s;\n\t\tthis.w -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\t\tthis.z = a.z - b.z;\n\t\tthis.w = a.w - b.w;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\t\tthis.z *= v.z;\n\t\tthis.w *= v.w;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\t\tthis.z *= scalar;\n\t\tthis.w *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z, w = this.w;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z + e[ 12 ] * w;\n\t\tthis.y = e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z + e[ 13 ] * w;\n\t\tthis.z = e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z + e[ 14 ] * w;\n\t\tthis.w = e[ 3 ] * x + e[ 7 ] * y + e[ 11 ] * z + e[ 15 ] * w;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tsetAxisAngleFromQuaternion( q ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/quaternionToAngle/index.htm\n\n\t\t// q is assumed to be normalized\n\n\t\tthis.w = 2 * Math.acos( q.w );\n\n\t\tconst s = Math.sqrt( 1 - q.w * q.w );\n\n\t\tif ( s < 0.0001 ) {\n\n\t\t\tthis.x = 1;\n\t\t\tthis.y = 0;\n\t\t\tthis.z = 0;\n\n\t\t} else {\n\n\t\t\tthis.x = q.x / s;\n\t\t\tthis.y = q.y / s;\n\t\t\tthis.z = q.z / s;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetAxisAngleFromRotationMatrix( m ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToAngle/index.htm\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tlet angle, x, y, z; // variables for result\n\t\tconst epsilon = 0.01,\t\t// margin to allow for rounding errors\n\t\t\tepsilon2 = 0.1,\t\t// margin to distinguish between 0 and 180 degrees\n\n\t\t\tte = m.elements,\n\n\t\t\tm11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ],\n\t\t\tm21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ],\n\t\t\tm31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ];\n\n\t\tif ( ( Math.abs( m12 - m21 ) < epsilon ) &&\n\t\t ( Math.abs( m13 - m31 ) < epsilon ) &&\n\t\t ( Math.abs( m23 - m32 ) < epsilon ) ) {\n\n\t\t\t// singularity found\n\t\t\t// first check for identity matrix which must have +1 for all terms\n\t\t\t// in leading diagonal and zero in other terms\n\n\t\t\tif ( ( Math.abs( m12 + m21 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m13 + m31 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m23 + m32 ) < epsilon2 ) &&\n\t\t\t ( Math.abs( m11 + m22 + m33 - 3 ) < epsilon2 ) ) {\n\n\t\t\t\t// this singularity is identity matrix so angle = 0\n\n\t\t\t\tthis.set( 1, 0, 0, 0 );\n\n\t\t\t\treturn this; // zero angle, arbitrary axis\n\n\t\t\t}\n\n\t\t\t// otherwise this singularity is angle = 180\n\n\t\t\tangle = Math.PI;\n\n\t\t\tconst xx = ( m11 + 1 ) / 2;\n\t\t\tconst yy = ( m22 + 1 ) / 2;\n\t\t\tconst zz = ( m33 + 1 ) / 2;\n\t\t\tconst xy = ( m12 + m21 ) / 4;\n\t\t\tconst xz = ( m13 + m31 ) / 4;\n\t\t\tconst yz = ( m23 + m32 ) / 4;\n\n\t\t\tif ( ( xx > yy ) && ( xx > zz ) ) {\n\n\t\t\t\t// m11 is the largest diagonal term\n\n\t\t\t\tif ( xx < epsilon ) {\n\n\t\t\t\t\tx = 0;\n\t\t\t\t\ty = 0.707106781;\n\t\t\t\t\tz = 0.707106781;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tx = Math.sqrt( xx );\n\t\t\t\t\ty = xy / x;\n\t\t\t\t\tz = xz / x;\n\n\t\t\t\t}\n\n\t\t\t} else if ( yy > zz ) {\n\n\t\t\t\t// m22 is the largest diagonal term\n\n\t\t\t\tif ( yy < epsilon ) {\n\n\t\t\t\t\tx = 0.707106781;\n\t\t\t\t\ty = 0;\n\t\t\t\t\tz = 0.707106781;\n\n\t\t\t\t} else {\n\n\t\t\t\t\ty = Math.sqrt( yy );\n\t\t\t\t\tx = xy / y;\n\t\t\t\t\tz = yz / y;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// m33 is the largest diagonal term so base result on this\n\n\t\t\t\tif ( zz < epsilon ) {\n\n\t\t\t\t\tx = 0.707106781;\n\t\t\t\t\ty = 0.707106781;\n\t\t\t\t\tz = 0;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tz = Math.sqrt( zz );\n\t\t\t\t\tx = xz / z;\n\t\t\t\t\ty = yz / z;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.set( x, y, z, angle );\n\n\t\t\treturn this; // return 180 deg rotation\n\n\t\t}\n\n\t\t// as we have reached here there are no singularities so we can handle normally\n\n\t\tlet s = Math.sqrt( ( m32 - m23 ) * ( m32 - m23 ) +\n\t\t\t( m13 - m31 ) * ( m13 - m31 ) +\n\t\t\t( m21 - m12 ) * ( m21 - m12 ) ); // used to normalize\n\n\t\tif ( Math.abs( s ) < 0.001 ) s = 1;\n\n\t\t// prevent divide by zero, should not happen if matrix is orthogonal and should be\n\t\t// caught by singularity test above, but I've left it in just in case\n\n\t\tthis.x = ( m32 - m23 ) / s;\n\t\tthis.y = ( m13 - m31 ) / s;\n\t\tthis.z = ( m21 - m12 ) / s;\n\t\tthis.w = Math.acos( ( m11 + m22 + m33 - 1 ) / 2 );\n\n\t\treturn this;\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\t\tthis.z = Math.min( this.z, v.z );\n\t\tthis.w = Math.min( this.w, v.w );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\t\tthis.z = Math.max( this.z, v.z );\n\t\tthis.w = Math.max( this.w, v.w );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\t\tthis.z = Math.max( min.z, Math.min( max.z, this.z ) );\n\t\tthis.w = Math.max( min.w, Math.min( max.w, this.w ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\t\tthis.z = Math.max( minVal, Math.min( maxVal, this.z ) );\n\t\tthis.w = Math.max( minVal, Math.min( maxVal, this.w ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\t\tthis.z = Math.floor( this.z );\n\t\tthis.w = Math.floor( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\t\tthis.z = Math.ceil( this.z );\n\t\tthis.w = Math.ceil( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\t\tthis.z = Math.round( this.z );\n\t\tthis.w = Math.round( this.w );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\t\tthis.z = Math.trunc( this.z );\n\t\tthis.w = Math.trunc( this.w );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\t\tthis.z = - this.z;\n\t\tthis.w = - this.w;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y + this.z * v.z + this.w * v.w;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y ) + Math.abs( this.z ) + Math.abs( this.w );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\t\tthis.z += ( v.z - this.z ) * alpha;\n\t\tthis.w += ( v.w - this.w ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\t\tthis.z = v1.z + ( v2.z - v1.z ) * alpha;\n\t\tthis.w = v1.w + ( v2.w - v1.w ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) && ( v.z === this.z ) && ( v.w === this.w ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\t\tthis.z = array[ offset + 2 ];\n\t\tthis.w = array[ offset + 3 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\t\tarray[ offset + 2 ] = this.z;\n\t\tarray[ offset + 3 ] = this.w;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\t\tthis.z = attribute.getZ( index );\n\t\tthis.w = attribute.getW( index );\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\t\tthis.z = Math.random();\n\t\tthis.w = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\t\tyield this.z;\n\t\tyield this.w;\n\n\t}\n\n}\n\n/*\n In options, we can specify:\n * Texture parameters for an auto-generated target texture\n * depthBuffer/stencilBuffer: Booleans to indicate if we should generate these buffers\n*/\nclass RenderTarget extends EventDispatcher {\n\n\tconstructor( width = 1, height = 1, options = {} ) {\n\n\t\tsuper();\n\n\t\tthis.isRenderTarget = true;\n\n\t\tthis.width = width;\n\t\tthis.height = height;\n\t\tthis.depth = 1;\n\n\t\tthis.scissor = new Vector4( 0, 0, width, height );\n\t\tthis.scissorTest = false;\n\n\t\tthis.viewport = new Vector4( 0, 0, width, height );\n\n\t\tconst image = { width: width, height: height, depth: 1 };\n\n\t\tif ( options.encoding !== undefined ) {\n\n\t\t\t// @deprecated, r152\n\t\t\twarnOnce( 'THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace.' );\n\t\t\toptions.colorSpace = options.encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\t\toptions = Object.assign( {\n\t\t\tgenerateMipmaps: false,\n\t\t\tinternalFormat: null,\n\t\t\tminFilter: LinearFilter,\n\t\t\tdepthBuffer: true,\n\t\t\tstencilBuffer: false,\n\t\t\tdepthTexture: null,\n\t\t\tsamples: 0\n\t\t}, options );\n\n\t\tthis.texture = new Texture( image, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.colorSpace );\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\tthis.texture.flipY = false;\n\t\tthis.texture.generateMipmaps = options.generateMipmaps;\n\t\tthis.texture.internalFormat = options.internalFormat;\n\n\t\tthis.depthBuffer = options.depthBuffer;\n\t\tthis.stencilBuffer = options.stencilBuffer;\n\n\t\tthis.depthTexture = options.depthTexture;\n\n\t\tthis.samples = options.samples;\n\n\t}\n\n\tsetSize( width, height, depth = 1 ) {\n\n\t\tif ( this.width !== width || this.height !== height || this.depth !== depth ) {\n\n\t\t\tthis.width = width;\n\t\t\tthis.height = height;\n\t\t\tthis.depth = depth;\n\n\t\t\tthis.texture.image.width = width;\n\t\t\tthis.texture.image.height = height;\n\t\t\tthis.texture.image.depth = depth;\n\n\t\t\tthis.dispose();\n\n\t\t}\n\n\t\tthis.viewport.set( 0, 0, width, height );\n\t\tthis.scissor.set( 0, 0, width, height );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\t\tthis.depth = source.depth;\n\n\t\tthis.scissor.copy( source.scissor );\n\t\tthis.scissorTest = source.scissorTest;\n\n\t\tthis.viewport.copy( source.viewport );\n\n\t\tthis.texture = source.texture.clone();\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\t// ensure image object is not shared, see #20328\n\n\t\tconst image = Object.assign( {}, source.texture.image );\n\t\tthis.texture.source = new Source( image );\n\n\t\tthis.depthBuffer = source.depthBuffer;\n\t\tthis.stencilBuffer = source.stencilBuffer;\n\n\t\tif ( source.depthTexture !== null ) this.depthTexture = source.depthTexture.clone();\n\n\t\tthis.samples = source.samples;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nclass WebGLRenderTarget extends RenderTarget {\n\n\tconstructor( width = 1, height = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLRenderTarget = true;\n\n\t}\n\n}\n\nclass DataArrayTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, depth = 1 ) {\n\n\t\tsuper( null );\n\n\t\tthis.isDataArrayTexture = true;\n\n\t\tthis.image = { data, width, height, depth };\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nclass WebGLArrayRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, depth = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLArrayRenderTarget = true;\n\n\t\tthis.depth = depth;\n\n\t\tthis.texture = new DataArrayTexture( null, width, height, depth );\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t}\n\n}\n\nclass Data3DTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, depth = 1 ) {\n\n\t\t// We're going to add .setXXX() methods for setting properties later.\n\t\t// Users can still set in DataTexture3D directly.\n\t\t//\n\t\t//\tconst texture = new THREE.DataTexture3D( data, width, height, depth );\n\t\t// \ttexture.anisotropy = 16;\n\t\t//\n\t\t// See #14839\n\n\t\tsuper( null );\n\n\t\tthis.isData3DTexture = true;\n\n\t\tthis.image = { data, width, height, depth };\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nclass WebGL3DRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, depth = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGL3DRenderTarget = true;\n\n\t\tthis.depth = depth;\n\n\t\tthis.texture = new Data3DTexture( null, width, height, depth );\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t}\n\n}\n\nclass WebGLMultipleRenderTargets extends WebGLRenderTarget {\n\n\tconstructor( width = 1, height = 1, count = 1, options = {} ) {\n\n\t\tsuper( width, height, options );\n\n\t\tthis.isWebGLMultipleRenderTargets = true;\n\n\t\tconst texture = this.texture;\n\n\t\tthis.texture = [];\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.texture[ i ] = texture.clone();\n\t\t\tthis.texture[ i ].isRenderTargetTexture = true;\n\n\t\t}\n\n\t}\n\n\tsetSize( width, height, depth = 1 ) {\n\n\t\tif ( this.width !== width || this.height !== height || this.depth !== depth ) {\n\n\t\t\tthis.width = width;\n\t\t\tthis.height = height;\n\t\t\tthis.depth = depth;\n\n\t\t\tfor ( let i = 0, il = this.texture.length; i < il; i ++ ) {\n\n\t\t\t\tthis.texture[ i ].image.width = width;\n\t\t\t\tthis.texture[ i ].image.height = height;\n\t\t\t\tthis.texture[ i ].image.depth = depth;\n\n\t\t\t}\n\n\t\t\tthis.dispose();\n\n\t\t}\n\n\t\tthis.viewport.set( 0, 0, width, height );\n\t\tthis.scissor.set( 0, 0, width, height );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.dispose();\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\t\tthis.depth = source.depth;\n\n\t\tthis.scissor.copy( source.scissor );\n\t\tthis.scissorTest = source.scissorTest;\n\n\t\tthis.viewport.copy( source.viewport );\n\n\t\tthis.depthBuffer = source.depthBuffer;\n\t\tthis.stencilBuffer = source.stencilBuffer;\n\n\t\tif ( source.depthTexture !== null ) this.depthTexture = source.depthTexture.clone();\n\n\t\tthis.texture.length = 0;\n\n\t\tfor ( let i = 0, il = source.texture.length; i < il; i ++ ) {\n\n\t\t\tthis.texture[ i ] = source.texture[ i ].clone();\n\t\t\tthis.texture[ i ].isRenderTargetTexture = true;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Quaternion {\n\n\tconstructor( x = 0, y = 0, z = 0, w = 1 ) {\n\n\t\tthis.isQuaternion = true;\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._w = w;\n\n\t}\n\n\tstatic slerpFlat( dst, dstOffset, src0, srcOffset0, src1, srcOffset1, t ) {\n\n\t\t// fuzz-free, array-based Quaternion SLERP operation\n\n\t\tlet x0 = src0[ srcOffset0 + 0 ],\n\t\t\ty0 = src0[ srcOffset0 + 1 ],\n\t\t\tz0 = src0[ srcOffset0 + 2 ],\n\t\t\tw0 = src0[ srcOffset0 + 3 ];\n\n\t\tconst x1 = src1[ srcOffset1 + 0 ],\n\t\t\ty1 = src1[ srcOffset1 + 1 ],\n\t\t\tz1 = src1[ srcOffset1 + 2 ],\n\t\t\tw1 = src1[ srcOffset1 + 3 ];\n\n\t\tif ( t === 0 ) {\n\n\t\t\tdst[ dstOffset + 0 ] = x0;\n\t\t\tdst[ dstOffset + 1 ] = y0;\n\t\t\tdst[ dstOffset + 2 ] = z0;\n\t\t\tdst[ dstOffset + 3 ] = w0;\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( t === 1 ) {\n\n\t\t\tdst[ dstOffset + 0 ] = x1;\n\t\t\tdst[ dstOffset + 1 ] = y1;\n\t\t\tdst[ dstOffset + 2 ] = z1;\n\t\t\tdst[ dstOffset + 3 ] = w1;\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( w0 !== w1 || x0 !== x1 || y0 !== y1 || z0 !== z1 ) {\n\n\t\t\tlet s = 1 - t;\n\t\t\tconst cos = x0 * x1 + y0 * y1 + z0 * z1 + w0 * w1,\n\t\t\t\tdir = ( cos >= 0 ? 1 : - 1 ),\n\t\t\t\tsqrSin = 1 - cos * cos;\n\n\t\t\t// Skip the Slerp for tiny steps to avoid numeric problems:\n\t\t\tif ( sqrSin > Number.EPSILON ) {\n\n\t\t\t\tconst sin = Math.sqrt( sqrSin ),\n\t\t\t\t\tlen = Math.atan2( sin, cos * dir );\n\n\t\t\t\ts = Math.sin( s * len ) / sin;\n\t\t\t\tt = Math.sin( t * len ) / sin;\n\n\t\t\t}\n\n\t\t\tconst tDir = t * dir;\n\n\t\t\tx0 = x0 * s + x1 * tDir;\n\t\t\ty0 = y0 * s + y1 * tDir;\n\t\t\tz0 = z0 * s + z1 * tDir;\n\t\t\tw0 = w0 * s + w1 * tDir;\n\n\t\t\t// Normalize in case we just did a lerp:\n\t\t\tif ( s === 1 - t ) {\n\n\t\t\t\tconst f = 1 / Math.sqrt( x0 * x0 + y0 * y0 + z0 * z0 + w0 * w0 );\n\n\t\t\t\tx0 *= f;\n\t\t\t\ty0 *= f;\n\t\t\t\tz0 *= f;\n\t\t\t\tw0 *= f;\n\n\t\t\t}\n\n\t\t}\n\n\t\tdst[ dstOffset ] = x0;\n\t\tdst[ dstOffset + 1 ] = y0;\n\t\tdst[ dstOffset + 2 ] = z0;\n\t\tdst[ dstOffset + 3 ] = w0;\n\n\t}\n\n\tstatic multiplyQuaternionsFlat( dst, dstOffset, src0, srcOffset0, src1, srcOffset1 ) {\n\n\t\tconst x0 = src0[ srcOffset0 ];\n\t\tconst y0 = src0[ srcOffset0 + 1 ];\n\t\tconst z0 = src0[ srcOffset0 + 2 ];\n\t\tconst w0 = src0[ srcOffset0 + 3 ];\n\n\t\tconst x1 = src1[ srcOffset1 ];\n\t\tconst y1 = src1[ srcOffset1 + 1 ];\n\t\tconst z1 = src1[ srcOffset1 + 2 ];\n\t\tconst w1 = src1[ srcOffset1 + 3 ];\n\n\t\tdst[ dstOffset ] = x0 * w1 + w0 * x1 + y0 * z1 - z0 * y1;\n\t\tdst[ dstOffset + 1 ] = y0 * w1 + w0 * y1 + z0 * x1 - x0 * z1;\n\t\tdst[ dstOffset + 2 ] = z0 * w1 + w0 * z1 + x0 * y1 - y0 * x1;\n\t\tdst[ dstOffset + 3 ] = w0 * w1 - x0 * x1 - y0 * y1 - z0 * z1;\n\n\t\treturn dst;\n\n\t}\n\n\tget x() {\n\n\t\treturn this._x;\n\n\t}\n\n\tset x( value ) {\n\n\t\tthis._x = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget y() {\n\n\t\treturn this._y;\n\n\t}\n\n\tset y( value ) {\n\n\t\tthis._y = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget z() {\n\n\t\treturn this._z;\n\n\t}\n\n\tset z( value ) {\n\n\t\tthis._z = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget w() {\n\n\t\treturn this._w;\n\n\t}\n\n\tset w( value ) {\n\n\t\tthis._w = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tset( x, y, z, w ) {\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._w = w;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this._x, this._y, this._z, this._w );\n\n\t}\n\n\tcopy( quaternion ) {\n\n\t\tthis._x = quaternion.x;\n\t\tthis._y = quaternion.y;\n\t\tthis._z = quaternion.z;\n\t\tthis._w = quaternion.w;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromEuler( euler, update = true ) {\n\n\t\tconst x = euler._x, y = euler._y, z = euler._z, order = euler._order;\n\n\t\t// http://www.mathworks.com/matlabcentral/fileexchange/\n\t\t// \t20696-function-to-convert-between-dcm-euler-angles-quaternions-and-euler-vectors/\n\t\t//\tcontent/SpinCalc.m\n\n\t\tconst cos = Math.cos;\n\t\tconst sin = Math.sin;\n\n\t\tconst c1 = cos( x / 2 );\n\t\tconst c2 = cos( y / 2 );\n\t\tconst c3 = cos( z / 2 );\n\n\t\tconst s1 = sin( x / 2 );\n\t\tconst s2 = sin( y / 2 );\n\t\tconst s3 = sin( z / 2 );\n\n\t\tswitch ( order ) {\n\n\t\t\tcase 'XYZ':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'YXZ':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZXY':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZYX':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'YZX':\n\t\t\t\tthis._x = s1 * c2 * c3 + c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 + s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 - s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 - s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tcase 'XZY':\n\t\t\t\tthis._x = s1 * c2 * c3 - c1 * s2 * s3;\n\t\t\t\tthis._y = c1 * s2 * c3 - s1 * c2 * s3;\n\t\t\t\tthis._z = c1 * c2 * s3 + s1 * s2 * c3;\n\t\t\t\tthis._w = c1 * c2 * c3 + s1 * s2 * s3;\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tconsole.warn( 'THREE.Quaternion: .setFromEuler() encountered an unknown order: ' + order );\n\n\t\t}\n\n\t\tif ( update === true ) this._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromAxisAngle( axis, angle ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/angleToQuaternion/index.htm\n\n\t\t// assumes axis is normalized\n\n\t\tconst halfAngle = angle / 2, s = Math.sin( halfAngle );\n\n\t\tthis._x = axis.x * s;\n\t\tthis._y = axis.y * s;\n\t\tthis._z = axis.z * s;\n\t\tthis._w = Math.cos( halfAngle );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromRotationMatrix( m ) {\n\n\t\t// http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion/index.htm\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tconst te = m.elements,\n\n\t\t\tm11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ],\n\t\t\tm21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ],\n\t\t\tm31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ],\n\n\t\t\ttrace = m11 + m22 + m33;\n\n\t\tif ( trace > 0 ) {\n\n\t\t\tconst s = 0.5 / Math.sqrt( trace + 1.0 );\n\n\t\t\tthis._w = 0.25 / s;\n\t\t\tthis._x = ( m32 - m23 ) * s;\n\t\t\tthis._y = ( m13 - m31 ) * s;\n\t\t\tthis._z = ( m21 - m12 ) * s;\n\n\t\t} else if ( m11 > m22 && m11 > m33 ) {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m11 - m22 - m33 );\n\n\t\t\tthis._w = ( m32 - m23 ) / s;\n\t\t\tthis._x = 0.25 * s;\n\t\t\tthis._y = ( m12 + m21 ) / s;\n\t\t\tthis._z = ( m13 + m31 ) / s;\n\n\t\t} else if ( m22 > m33 ) {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m22 - m11 - m33 );\n\n\t\t\tthis._w = ( m13 - m31 ) / s;\n\t\t\tthis._x = ( m12 + m21 ) / s;\n\t\t\tthis._y = 0.25 * s;\n\t\t\tthis._z = ( m23 + m32 ) / s;\n\n\t\t} else {\n\n\t\t\tconst s = 2.0 * Math.sqrt( 1.0 + m33 - m11 - m22 );\n\n\t\t\tthis._w = ( m21 - m12 ) / s;\n\t\t\tthis._x = ( m13 + m31 ) / s;\n\t\t\tthis._y = ( m23 + m32 ) / s;\n\t\t\tthis._z = 0.25 * s;\n\n\t\t}\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromUnitVectors( vFrom, vTo ) {\n\n\t\t// assumes direction vectors vFrom and vTo are normalized\n\n\t\tlet r = vFrom.dot( vTo ) + 1;\n\n\t\tif ( r < Number.EPSILON ) {\n\n\t\t\t// vFrom and vTo point in opposite directions\n\n\t\t\tr = 0;\n\n\t\t\tif ( Math.abs( vFrom.x ) > Math.abs( vFrom.z ) ) {\n\n\t\t\t\tthis._x = - vFrom.y;\n\t\t\t\tthis._y = vFrom.x;\n\t\t\t\tthis._z = 0;\n\t\t\t\tthis._w = r;\n\n\t\t\t} else {\n\n\t\t\t\tthis._x = 0;\n\t\t\t\tthis._y = - vFrom.z;\n\t\t\t\tthis._z = vFrom.y;\n\t\t\t\tthis._w = r;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// crossVectors( vFrom, vTo ); // inlined to avoid cyclic dependency on Vector3\n\n\t\t\tthis._x = vFrom.y * vTo.z - vFrom.z * vTo.y;\n\t\t\tthis._y = vFrom.z * vTo.x - vFrom.x * vTo.z;\n\t\t\tthis._z = vFrom.x * vTo.y - vFrom.y * vTo.x;\n\t\t\tthis._w = r;\n\n\t\t}\n\n\t\treturn this.normalize();\n\n\t}\n\n\tangleTo( q ) {\n\n\t\treturn 2 * Math.acos( Math.abs( clamp( this.dot( q ), - 1, 1 ) ) );\n\n\t}\n\n\trotateTowards( q, step ) {\n\n\t\tconst angle = this.angleTo( q );\n\n\t\tif ( angle === 0 ) return this;\n\n\t\tconst t = Math.min( 1, step / angle );\n\n\t\tthis.slerp( q, t );\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\treturn this.set( 0, 0, 0, 1 );\n\n\t}\n\n\tinvert() {\n\n\t\t// quaternion is assumed to have unit length\n\n\t\treturn this.conjugate();\n\n\t}\n\n\tconjugate() {\n\n\t\tthis._x *= - 1;\n\t\tthis._y *= - 1;\n\t\tthis._z *= - 1;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this._x * v._x + this._y * v._y + this._z * v._z + this._w * v._w;\n\n\t}\n\n\tlengthSq() {\n\n\t\treturn this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w );\n\n\t}\n\n\tnormalize() {\n\n\t\tlet l = this.length();\n\n\t\tif ( l === 0 ) {\n\n\t\t\tthis._x = 0;\n\t\t\tthis._y = 0;\n\t\t\tthis._z = 0;\n\t\t\tthis._w = 1;\n\n\t\t} else {\n\n\t\t\tl = 1 / l;\n\n\t\t\tthis._x = this._x * l;\n\t\t\tthis._y = this._y * l;\n\t\t\tthis._z = this._z * l;\n\t\t\tthis._w = this._w * l;\n\n\t\t}\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( q ) {\n\n\t\treturn this.multiplyQuaternions( this, q );\n\n\t}\n\n\tpremultiply( q ) {\n\n\t\treturn this.multiplyQuaternions( q, this );\n\n\t}\n\n\tmultiplyQuaternions( a, b ) {\n\n\t\t// from http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions/code/index.htm\n\n\t\tconst qax = a._x, qay = a._y, qaz = a._z, qaw = a._w;\n\t\tconst qbx = b._x, qby = b._y, qbz = b._z, qbw = b._w;\n\n\t\tthis._x = qax * qbw + qaw * qbx + qay * qbz - qaz * qby;\n\t\tthis._y = qay * qbw + qaw * qby + qaz * qbx - qax * qbz;\n\t\tthis._z = qaz * qbw + qaw * qbz + qax * qby - qay * qbx;\n\t\tthis._w = qaw * qbw - qax * qbx - qay * qby - qaz * qbz;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tslerp( qb, t ) {\n\n\t\tif ( t === 0 ) return this;\n\t\tif ( t === 1 ) return this.copy( qb );\n\n\t\tconst x = this._x, y = this._y, z = this._z, w = this._w;\n\n\t\t// http://www.euclideanspace.com/maths/algebra/realNormedAlgebra/quaternions/slerp/\n\n\t\tlet cosHalfTheta = w * qb._w + x * qb._x + y * qb._y + z * qb._z;\n\n\t\tif ( cosHalfTheta < 0 ) {\n\n\t\t\tthis._w = - qb._w;\n\t\t\tthis._x = - qb._x;\n\t\t\tthis._y = - qb._y;\n\t\t\tthis._z = - qb._z;\n\n\t\t\tcosHalfTheta = - cosHalfTheta;\n\n\t\t} else {\n\n\t\t\tthis.copy( qb );\n\n\t\t}\n\n\t\tif ( cosHalfTheta >= 1.0 ) {\n\n\t\t\tthis._w = w;\n\t\t\tthis._x = x;\n\t\t\tthis._y = y;\n\t\t\tthis._z = z;\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst sqrSinHalfTheta = 1.0 - cosHalfTheta * cosHalfTheta;\n\n\t\tif ( sqrSinHalfTheta <= Number.EPSILON ) {\n\n\t\t\tconst s = 1 - t;\n\t\t\tthis._w = s * w + t * this._w;\n\t\t\tthis._x = s * x + t * this._x;\n\t\t\tthis._y = s * y + t * this._y;\n\t\t\tthis._z = s * z + t * this._z;\n\n\t\t\tthis.normalize(); // normalize calls _onChangeCallback()\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst sinHalfTheta = Math.sqrt( sqrSinHalfTheta );\n\t\tconst halfTheta = Math.atan2( sinHalfTheta, cosHalfTheta );\n\t\tconst ratioA = Math.sin( ( 1 - t ) * halfTheta ) / sinHalfTheta,\n\t\t\tratioB = Math.sin( t * halfTheta ) / sinHalfTheta;\n\n\t\tthis._w = ( w * ratioA + this._w * ratioB );\n\t\tthis._x = ( x * ratioA + this._x * ratioB );\n\t\tthis._y = ( y * ratioA + this._y * ratioB );\n\t\tthis._z = ( z * ratioA + this._z * ratioB );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tslerpQuaternions( qa, qb, t ) {\n\n\t\treturn this.copy( qa ).slerp( qb, t );\n\n\t}\n\n\trandom() {\n\n\t\t// Derived from http://planning.cs.uiuc.edu/node198.html\n\t\t// Note, this source uses w, x, y, z ordering,\n\t\t// so we swap the order below.\n\n\t\tconst u1 = Math.random();\n\t\tconst sqrt1u1 = Math.sqrt( 1 - u1 );\n\t\tconst sqrtu1 = Math.sqrt( u1 );\n\n\t\tconst u2 = 2 * Math.PI * Math.random();\n\n\t\tconst u3 = 2 * Math.PI * Math.random();\n\n\t\treturn this.set(\n\t\t\tsqrt1u1 * Math.cos( u2 ),\n\t\t\tsqrtu1 * Math.sin( u3 ),\n\t\t\tsqrtu1 * Math.cos( u3 ),\n\t\t\tsqrt1u1 * Math.sin( u2 ),\n\t\t);\n\n\t}\n\n\tequals( quaternion ) {\n\n\t\treturn ( quaternion._x === this._x ) && ( quaternion._y === this._y ) && ( quaternion._z === this._z ) && ( quaternion._w === this._w );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis._x = array[ offset ];\n\t\tthis._y = array[ offset + 1 ];\n\t\tthis._z = array[ offset + 2 ];\n\t\tthis._w = array[ offset + 3 ];\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this._x;\n\t\tarray[ offset + 1 ] = this._y;\n\t\tarray[ offset + 2 ] = this._z;\n\t\tarray[ offset + 3 ] = this._w;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis._x = attribute.getX( index );\n\t\tthis._y = attribute.getY( index );\n\t\tthis._z = attribute.getZ( index );\n\t\tthis._w = attribute.getW( index );\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.toArray();\n\n\t}\n\n\t_onChange( callback ) {\n\n\t\tthis._onChangeCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\t_onChangeCallback() {}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this._x;\n\t\tyield this._y;\n\t\tyield this._z;\n\t\tyield this._w;\n\n\t}\n\n}\n\nclass Vector3 {\n\n\tconstructor( x = 0, y = 0, z = 0 ) {\n\n\t\tVector3.prototype.isVector3 = true;\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\n\t}\n\n\tset( x, y, z ) {\n\n\t\tif ( z === undefined ) z = this.z; // sprite.scale.set(x,y)\n\n\t\tthis.x = x;\n\t\tthis.y = y;\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.x = scalar;\n\t\tthis.y = scalar;\n\t\tthis.z = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetX( x ) {\n\n\t\tthis.x = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( y ) {\n\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( z ) {\n\n\t\tthis.z = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponent( index, value ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: this.x = value; break;\n\t\t\tcase 1: this.y = value; break;\n\t\t\tcase 2: this.z = value; break;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index ) {\n\n\t\tswitch ( index ) {\n\n\t\t\tcase 0: return this.x;\n\t\t\tcase 1: return this.y;\n\t\t\tcase 2: return this.z;\n\t\t\tdefault: throw new Error( 'index is out of range: ' + index );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.x, this.y, this.z );\n\n\t}\n\n\tcopy( v ) {\n\n\t\tthis.x = v.x;\n\t\tthis.y = v.y;\n\t\tthis.z = v.z;\n\n\t\treturn this;\n\n\t}\n\n\tadd( v ) {\n\n\t\tthis.x += v.x;\n\t\tthis.y += v.y;\n\t\tthis.z += v.z;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.x += s;\n\t\tthis.y += s;\n\t\tthis.z += s;\n\n\t\treturn this;\n\n\t}\n\n\taddVectors( a, b ) {\n\n\t\tthis.x = a.x + b.x;\n\t\tthis.y = a.y + b.y;\n\t\tthis.z = a.z + b.z;\n\n\t\treturn this;\n\n\t}\n\n\taddScaledVector( v, s ) {\n\n\t\tthis.x += v.x * s;\n\t\tthis.y += v.y * s;\n\t\tthis.z += v.z * s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( v ) {\n\n\t\tthis.x -= v.x;\n\t\tthis.y -= v.y;\n\t\tthis.z -= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tsubScalar( s ) {\n\n\t\tthis.x -= s;\n\t\tthis.y -= s;\n\t\tthis.z -= s;\n\n\t\treturn this;\n\n\t}\n\n\tsubVectors( a, b ) {\n\n\t\tthis.x = a.x - b.x;\n\t\tthis.y = a.y - b.y;\n\t\tthis.z = a.z - b.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( v ) {\n\n\t\tthis.x *= v.x;\n\t\tthis.y *= v.y;\n\t\tthis.z *= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( scalar ) {\n\n\t\tthis.x *= scalar;\n\t\tthis.y *= scalar;\n\t\tthis.z *= scalar;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyVectors( a, b ) {\n\n\t\tthis.x = a.x * b.x;\n\t\tthis.y = a.y * b.y;\n\t\tthis.z = a.z * b.z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyEuler( euler ) {\n\n\t\treturn this.applyQuaternion( _quaternion$4.setFromEuler( euler ) );\n\n\t}\n\n\tapplyAxisAngle( axis, angle ) {\n\n\t\treturn this.applyQuaternion( _quaternion$4.setFromAxisAngle( axis, angle ) );\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 3 ] * y + e[ 6 ] * z;\n\t\tthis.y = e[ 1 ] * x + e[ 4 ] * y + e[ 7 ] * z;\n\t\tthis.z = e[ 2 ] * x + e[ 5 ] * y + e[ 8 ] * z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\treturn this.applyMatrix3( m ).normalize();\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tconst w = 1 / ( e[ 3 ] * x + e[ 7 ] * y + e[ 11 ] * z + e[ 15 ] );\n\n\t\tthis.x = ( e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z + e[ 12 ] ) * w;\n\t\tthis.y = ( e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z + e[ 13 ] ) * w;\n\t\tthis.z = ( e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z + e[ 14 ] ) * w;\n\n\t\treturn this;\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\t// quaternion q is assumed to have unit length\n\n\t\tconst vx = this.x, vy = this.y, vz = this.z;\n\t\tconst qx = q.x, qy = q.y, qz = q.z, qw = q.w;\n\n\t\t// t = 2 * cross( q.xyz, v );\n\t\tconst tx = 2 * ( qy * vz - qz * vy );\n\t\tconst ty = 2 * ( qz * vx - qx * vz );\n\t\tconst tz = 2 * ( qx * vy - qy * vx );\n\n\t\t// v + q.w * t + cross( q.xyz, t );\n\t\tthis.x = vx + qw * tx + qy * tz - qz * ty;\n\t\tthis.y = vy + qw * ty + qz * tx - qx * tz;\n\t\tthis.z = vz + qw * tz + qx * ty - qy * tx;\n\n\t\treturn this;\n\n\t}\n\n\tproject( camera ) {\n\n\t\treturn this.applyMatrix4( camera.matrixWorldInverse ).applyMatrix4( camera.projectionMatrix );\n\n\t}\n\n\tunproject( camera ) {\n\n\t\treturn this.applyMatrix4( camera.projectionMatrixInverse ).applyMatrix4( camera.matrixWorld );\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\t// input: THREE.Matrix4 affine matrix\n\t\t// vector interpreted as a direction\n\n\t\tconst x = this.x, y = this.y, z = this.z;\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 0 ] * x + e[ 4 ] * y + e[ 8 ] * z;\n\t\tthis.y = e[ 1 ] * x + e[ 5 ] * y + e[ 9 ] * z;\n\t\tthis.z = e[ 2 ] * x + e[ 6 ] * y + e[ 10 ] * z;\n\n\t\treturn this.normalize();\n\n\t}\n\n\tdivide( v ) {\n\n\t\tthis.x /= v.x;\n\t\tthis.y /= v.y;\n\t\tthis.z /= v.z;\n\n\t\treturn this;\n\n\t}\n\n\tdivideScalar( scalar ) {\n\n\t\treturn this.multiplyScalar( 1 / scalar );\n\n\t}\n\n\tmin( v ) {\n\n\t\tthis.x = Math.min( this.x, v.x );\n\t\tthis.y = Math.min( this.y, v.y );\n\t\tthis.z = Math.min( this.z, v.z );\n\n\t\treturn this;\n\n\t}\n\n\tmax( v ) {\n\n\t\tthis.x = Math.max( this.x, v.x );\n\t\tthis.y = Math.max( this.y, v.y );\n\t\tthis.z = Math.max( this.z, v.z );\n\n\t\treturn this;\n\n\t}\n\n\tclamp( min, max ) {\n\n\t\t// assumes min < max, componentwise\n\n\t\tthis.x = Math.max( min.x, Math.min( max.x, this.x ) );\n\t\tthis.y = Math.max( min.y, Math.min( max.y, this.y ) );\n\t\tthis.z = Math.max( min.z, Math.min( max.z, this.z ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampScalar( minVal, maxVal ) {\n\n\t\tthis.x = Math.max( minVal, Math.min( maxVal, this.x ) );\n\t\tthis.y = Math.max( minVal, Math.min( maxVal, this.y ) );\n\t\tthis.z = Math.max( minVal, Math.min( maxVal, this.z ) );\n\n\t\treturn this;\n\n\t}\n\n\tclampLength( min, max ) {\n\n\t\tconst length = this.length();\n\n\t\treturn this.divideScalar( length || 1 ).multiplyScalar( Math.max( min, Math.min( max, length ) ) );\n\n\t}\n\n\tfloor() {\n\n\t\tthis.x = Math.floor( this.x );\n\t\tthis.y = Math.floor( this.y );\n\t\tthis.z = Math.floor( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tceil() {\n\n\t\tthis.x = Math.ceil( this.x );\n\t\tthis.y = Math.ceil( this.y );\n\t\tthis.z = Math.ceil( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tround() {\n\n\t\tthis.x = Math.round( this.x );\n\t\tthis.y = Math.round( this.y );\n\t\tthis.z = Math.round( this.z );\n\n\t\treturn this;\n\n\t}\n\n\troundToZero() {\n\n\t\tthis.x = Math.trunc( this.x );\n\t\tthis.y = Math.trunc( this.y );\n\t\tthis.z = Math.trunc( this.z );\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.x = - this.x;\n\t\tthis.y = - this.y;\n\t\tthis.z = - this.z;\n\n\t\treturn this;\n\n\t}\n\n\tdot( v ) {\n\n\t\treturn this.x * v.x + this.y * v.y + this.z * v.z;\n\n\t}\n\n\t// TODO lengthSquared?\n\n\tlengthSq() {\n\n\t\treturn this.x * this.x + this.y * this.y + this.z * this.z;\n\n\t}\n\n\tlength() {\n\n\t\treturn Math.sqrt( this.x * this.x + this.y * this.y + this.z * this.z );\n\n\t}\n\n\tmanhattanLength() {\n\n\t\treturn Math.abs( this.x ) + Math.abs( this.y ) + Math.abs( this.z );\n\n\t}\n\n\tnormalize() {\n\n\t\treturn this.divideScalar( this.length() || 1 );\n\n\t}\n\n\tsetLength( length ) {\n\n\t\treturn this.normalize().multiplyScalar( length );\n\n\t}\n\n\tlerp( v, alpha ) {\n\n\t\tthis.x += ( v.x - this.x ) * alpha;\n\t\tthis.y += ( v.y - this.y ) * alpha;\n\t\tthis.z += ( v.z - this.z ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpVectors( v1, v2, alpha ) {\n\n\t\tthis.x = v1.x + ( v2.x - v1.x ) * alpha;\n\t\tthis.y = v1.y + ( v2.y - v1.y ) * alpha;\n\t\tthis.z = v1.z + ( v2.z - v1.z ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tcross( v ) {\n\n\t\treturn this.crossVectors( this, v );\n\n\t}\n\n\tcrossVectors( a, b ) {\n\n\t\tconst ax = a.x, ay = a.y, az = a.z;\n\t\tconst bx = b.x, by = b.y, bz = b.z;\n\n\t\tthis.x = ay * bz - az * by;\n\t\tthis.y = az * bx - ax * bz;\n\t\tthis.z = ax * by - ay * bx;\n\n\t\treturn this;\n\n\t}\n\n\tprojectOnVector( v ) {\n\n\t\tconst denominator = v.lengthSq();\n\n\t\tif ( denominator === 0 ) return this.set( 0, 0, 0 );\n\n\t\tconst scalar = v.dot( this ) / denominator;\n\n\t\treturn this.copy( v ).multiplyScalar( scalar );\n\n\t}\n\n\tprojectOnPlane( planeNormal ) {\n\n\t\t_vector$c.copy( this ).projectOnVector( planeNormal );\n\n\t\treturn this.sub( _vector$c );\n\n\t}\n\n\treflect( normal ) {\n\n\t\t// reflect incident vector off plane orthogonal to normal\n\t\t// normal is assumed to have unit length\n\n\t\treturn this.sub( _vector$c.copy( normal ).multiplyScalar( 2 * this.dot( normal ) ) );\n\n\t}\n\n\tangleTo( v ) {\n\n\t\tconst denominator = Math.sqrt( this.lengthSq() * v.lengthSq() );\n\n\t\tif ( denominator === 0 ) return Math.PI / 2;\n\n\t\tconst theta = this.dot( v ) / denominator;\n\n\t\t// clamp, to handle numerical problems\n\n\t\treturn Math.acos( clamp( theta, - 1, 1 ) );\n\n\t}\n\n\tdistanceTo( v ) {\n\n\t\treturn Math.sqrt( this.distanceToSquared( v ) );\n\n\t}\n\n\tdistanceToSquared( v ) {\n\n\t\tconst dx = this.x - v.x, dy = this.y - v.y, dz = this.z - v.z;\n\n\t\treturn dx * dx + dy * dy + dz * dz;\n\n\t}\n\n\tmanhattanDistanceTo( v ) {\n\n\t\treturn Math.abs( this.x - v.x ) + Math.abs( this.y - v.y ) + Math.abs( this.z - v.z );\n\n\t}\n\n\tsetFromSpherical( s ) {\n\n\t\treturn this.setFromSphericalCoords( s.radius, s.phi, s.theta );\n\n\t}\n\n\tsetFromSphericalCoords( radius, phi, theta ) {\n\n\t\tconst sinPhiRadius = Math.sin( phi ) * radius;\n\n\t\tthis.x = sinPhiRadius * Math.sin( theta );\n\t\tthis.y = Math.cos( phi ) * radius;\n\t\tthis.z = sinPhiRadius * Math.cos( theta );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCylindrical( c ) {\n\n\t\treturn this.setFromCylindricalCoords( c.radius, c.theta, c.y );\n\n\t}\n\n\tsetFromCylindricalCoords( radius, theta, y ) {\n\n\t\tthis.x = radius * Math.sin( theta );\n\t\tthis.y = y;\n\t\tthis.z = radius * Math.cos( theta );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixPosition( m ) {\n\n\t\tconst e = m.elements;\n\n\t\tthis.x = e[ 12 ];\n\t\tthis.y = e[ 13 ];\n\t\tthis.z = e[ 14 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixScale( m ) {\n\n\t\tconst sx = this.setFromMatrixColumn( m, 0 ).length();\n\t\tconst sy = this.setFromMatrixColumn( m, 1 ).length();\n\t\tconst sz = this.setFromMatrixColumn( m, 2 ).length();\n\n\t\tthis.x = sx;\n\t\tthis.y = sy;\n\t\tthis.z = sz;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrixColumn( m, index ) {\n\n\t\treturn this.fromArray( m.elements, index * 4 );\n\n\t}\n\n\tsetFromMatrix3Column( m, index ) {\n\n\t\treturn this.fromArray( m.elements, index * 3 );\n\n\t}\n\n\tsetFromEuler( e ) {\n\n\t\tthis.x = e._x;\n\t\tthis.y = e._y;\n\t\tthis.z = e._z;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromColor( c ) {\n\n\t\tthis.x = c.r;\n\t\tthis.y = c.g;\n\t\tthis.z = c.b;\n\n\t\treturn this;\n\n\t}\n\n\tequals( v ) {\n\n\t\treturn ( ( v.x === this.x ) && ( v.y === this.y ) && ( v.z === this.z ) );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.x = array[ offset ];\n\t\tthis.y = array[ offset + 1 ];\n\t\tthis.z = array[ offset + 2 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.x;\n\t\tarray[ offset + 1 ] = this.y;\n\t\tarray[ offset + 2 ] = this.z;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.x = attribute.getX( index );\n\t\tthis.y = attribute.getY( index );\n\t\tthis.z = attribute.getZ( index );\n\n\t\treturn this;\n\n\t}\n\n\trandom() {\n\n\t\tthis.x = Math.random();\n\t\tthis.y = Math.random();\n\t\tthis.z = Math.random();\n\n\t\treturn this;\n\n\t}\n\n\trandomDirection() {\n\n\t\t// Derived from https://mathworld.wolfram.com/SpherePointPicking.html\n\n\t\tconst u = ( Math.random() - 0.5 ) * 2;\n\t\tconst t = Math.random() * Math.PI * 2;\n\t\tconst f = Math.sqrt( 1 - u ** 2 );\n\n\t\tthis.x = f * Math.cos( t );\n\t\tthis.y = f * Math.sin( t );\n\t\tthis.z = u;\n\n\t\treturn this;\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.x;\n\t\tyield this.y;\n\t\tyield this.z;\n\n\t}\n\n}\n\nconst _vector$c = /*@__PURE__*/ new Vector3();\nconst _quaternion$4 = /*@__PURE__*/ new Quaternion();\n\nclass Box3 {\n\n\tconstructor( min = new Vector3( + Infinity, + Infinity, + Infinity ), max = new Vector3( - Infinity, - Infinity, - Infinity ) ) {\n\n\t\tthis.isBox3 = true;\n\n\t\tthis.min = min;\n\t\tthis.max = max;\n\n\t}\n\n\tset( min, max ) {\n\n\t\tthis.min.copy( min );\n\t\tthis.max.copy( max );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromArray( array ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = array.length; i < il; i += 3 ) {\n\n\t\t\tthis.expandByPoint( _vector$b.fromArray( array, i ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromBufferAttribute( attribute ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = attribute.count; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( _vector$b.fromBufferAttribute( attribute, i ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( points[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCenterAndSize( center, size ) {\n\n\t\tconst halfSize = _vector$b.copy( size ).multiplyScalar( 0.5 );\n\n\t\tthis.min.copy( center ).sub( halfSize );\n\t\tthis.max.copy( center ).add( halfSize );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromObject( object, precise = false ) {\n\n\t\tthis.makeEmpty();\n\n\t\treturn this.expandByObject( object, precise );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( box ) {\n\n\t\tthis.min.copy( box.min );\n\t\tthis.max.copy( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.min.x = this.min.y = this.min.z = + Infinity;\n\t\tthis.max.x = this.max.y = this.max.z = - Infinity;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\t// this is a more robust check for empty than ( volume <= 0 ) because volume can get positive with two negative axes\n\n\t\treturn ( this.max.x < this.min.x ) || ( this.max.y < this.min.y ) || ( this.max.z < this.min.z );\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0, 0 ) : target.addVectors( this.min, this.max ).multiplyScalar( 0.5 );\n\n\t}\n\n\tgetSize( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0, 0 ) : target.subVectors( this.max, this.min );\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tthis.min.min( point );\n\t\tthis.max.max( point );\n\n\t\treturn this;\n\n\t}\n\n\texpandByVector( vector ) {\n\n\t\tthis.min.sub( vector );\n\t\tthis.max.add( vector );\n\n\t\treturn this;\n\n\t}\n\n\texpandByScalar( scalar ) {\n\n\t\tthis.min.addScalar( - scalar );\n\t\tthis.max.addScalar( scalar );\n\n\t\treturn this;\n\n\t}\n\n\texpandByObject( object, precise = false ) {\n\n\t\t// Computes the world-axis-aligned bounding box of an object (including its children),\n\t\t// accounting for both the object's, and children's, world transforms\n\n\t\tobject.updateWorldMatrix( false, false );\n\n\t\tconst geometry = object.geometry;\n\n\t\tif ( geometry !== undefined ) {\n\n\t\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\t\t// precise AABB computation based on vertex data requires at least a position attribute.\n\t\t\t// instancing isn't supported so far and uses the normal (conservative) code path.\n\n\t\t\tif ( precise === true && positionAttribute !== undefined && object.isInstancedMesh !== true ) {\n\n\t\t\t\tfor ( let i = 0, l = positionAttribute.count; i < l; i ++ ) {\n\n\t\t\t\t\tif ( object.isMesh === true ) {\n\n\t\t\t\t\t\tobject.getVertexPosition( i, _vector$b );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t_vector$b.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_vector$b.applyMatrix4( object.matrixWorld );\n\t\t\t\t\tthis.expandByPoint( _vector$b );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( object.boundingBox !== undefined ) {\n\n\t\t\t\t\t// object-level bounding box\n\n\t\t\t\t\tif ( object.boundingBox === null ) {\n\n\t\t\t\t\t\tobject.computeBoundingBox();\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_box$4.copy( object.boundingBox );\n\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// geometry-level bounding box\n\n\t\t\t\t\tif ( geometry.boundingBox === null ) {\n\n\t\t\t\t\t\tgeometry.computeBoundingBox();\n\n\t\t\t\t\t}\n\n\t\t\t\t\t_box$4.copy( geometry.boundingBox );\n\n\t\t\t\t}\n\n\t\t\t\t_box$4.applyMatrix4( object.matrixWorld );\n\n\t\t\t\tthis.union( _box$4 );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tthis.expandByObject( children[ i ], precise );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn point.x < this.min.x || point.x > this.max.x ||\n\t\t\tpoint.y < this.min.y || point.y > this.max.y ||\n\t\t\tpoint.z < this.min.z || point.z > this.max.z ? false : true;\n\n\t}\n\n\tcontainsBox( box ) {\n\n\t\treturn this.min.x <= box.min.x && box.max.x <= this.max.x &&\n\t\t\tthis.min.y <= box.min.y && box.max.y <= this.max.y &&\n\t\t\tthis.min.z <= box.min.z && box.max.z <= this.max.z;\n\n\t}\n\n\tgetParameter( point, target ) {\n\n\t\t// This can potentially have a divide by zero if the box\n\t\t// has a size dimension of 0.\n\n\t\treturn target.set(\n\t\t\t( point.x - this.min.x ) / ( this.max.x - this.min.x ),\n\t\t\t( point.y - this.min.y ) / ( this.max.y - this.min.y ),\n\t\t\t( point.z - this.min.z ) / ( this.max.z - this.min.z )\n\t\t);\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\t// using 6 splitting planes to rule out intersections.\n\t\treturn box.max.x < this.min.x || box.min.x > this.max.x ||\n\t\t\tbox.max.y < this.min.y || box.min.y > this.max.y ||\n\t\t\tbox.max.z < this.min.z || box.min.z > this.max.z ? false : true;\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\t// Find the point on the AABB closest to the sphere center.\n\t\tthis.clampPoint( sphere.center, _vector$b );\n\n\t\t// If that point is inside the sphere, the AABB and sphere intersect.\n\t\treturn _vector$b.distanceToSquared( sphere.center ) <= ( sphere.radius * sphere.radius );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\t// We compute the minimum and maximum dot product values. If those values\n\t\t// are on the same side (back or front) of the plane, then there is no intersection.\n\n\t\tlet min, max;\n\n\t\tif ( plane.normal.x > 0 ) {\n\n\t\t\tmin = plane.normal.x * this.min.x;\n\t\t\tmax = plane.normal.x * this.max.x;\n\n\t\t} else {\n\n\t\t\tmin = plane.normal.x * this.max.x;\n\t\t\tmax = plane.normal.x * this.min.x;\n\n\t\t}\n\n\t\tif ( plane.normal.y > 0 ) {\n\n\t\t\tmin += plane.normal.y * this.min.y;\n\t\t\tmax += plane.normal.y * this.max.y;\n\n\t\t} else {\n\n\t\t\tmin += plane.normal.y * this.max.y;\n\t\t\tmax += plane.normal.y * this.min.y;\n\n\t\t}\n\n\t\tif ( plane.normal.z > 0 ) {\n\n\t\t\tmin += plane.normal.z * this.min.z;\n\t\t\tmax += plane.normal.z * this.max.z;\n\n\t\t} else {\n\n\t\t\tmin += plane.normal.z * this.max.z;\n\t\t\tmax += plane.normal.z * this.min.z;\n\n\t\t}\n\n\t\treturn ( min <= - plane.constant && max >= - plane.constant );\n\n\t}\n\n\tintersectsTriangle( triangle ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// compute box center and extents\n\t\tthis.getCenter( _center );\n\t\t_extents.subVectors( this.max, _center );\n\n\t\t// translate triangle to aabb origin\n\t\t_v0$2.subVectors( triangle.a, _center );\n\t\t_v1$7.subVectors( triangle.b, _center );\n\t\t_v2$4.subVectors( triangle.c, _center );\n\n\t\t// compute edge vectors for triangle\n\t\t_f0.subVectors( _v1$7, _v0$2 );\n\t\t_f1.subVectors( _v2$4, _v1$7 );\n\t\t_f2.subVectors( _v0$2, _v2$4 );\n\n\t\t// test against axes that are given by cross product combinations of the edges of the triangle and the edges of the aabb\n\t\t// make an axis testing of each of the 3 sides of the aabb against each of the 3 sides of the triangle = 9 axis of separation\n\t\t// axis_ij = u_i x f_j (u0, u1, u2 = face normals of aabb = x,y,z axes vectors since aabb is axis aligned)\n\t\tlet axes = [\n\t\t\t0, - _f0.z, _f0.y, 0, - _f1.z, _f1.y, 0, - _f2.z, _f2.y,\n\t\t\t_f0.z, 0, - _f0.x, _f1.z, 0, - _f1.x, _f2.z, 0, - _f2.x,\n\t\t\t- _f0.y, _f0.x, 0, - _f1.y, _f1.x, 0, - _f2.y, _f2.x, 0\n\t\t];\n\t\tif ( ! satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents ) ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// test 3 face normals from the aabb\n\t\taxes = [ 1, 0, 0, 0, 1, 0, 0, 0, 1 ];\n\t\tif ( ! satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents ) ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\t// finally testing the face normal of the triangle\n\t\t// use already existing triangle edge vectors here\n\t\t_triangleNormal.crossVectors( _f0, _f1 );\n\t\taxes = [ _triangleNormal.x, _triangleNormal.y, _triangleNormal.z ];\n\n\t\treturn satForAxes( axes, _v0$2, _v1$7, _v2$4, _extents );\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\treturn target.copy( point ).clamp( this.min, this.max );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.clampPoint( point, _vector$b ).distanceTo( point );\n\n\t}\n\n\tgetBoundingSphere( target ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\ttarget.makeEmpty();\n\n\t\t} else {\n\n\t\t\tthis.getCenter( target.center );\n\n\t\t\ttarget.radius = this.getSize( _vector$b ).length() * 0.5;\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\tintersect( box ) {\n\n\t\tthis.min.max( box.min );\n\t\tthis.max.min( box.max );\n\n\t\t// ensure that if there is no overlap, the result is fully empty, not slightly empty with non-inf/+inf values that will cause subsequence intersects to erroneously return valid values.\n\t\tif ( this.isEmpty() ) this.makeEmpty();\n\n\t\treturn this;\n\n\t}\n\n\tunion( box ) {\n\n\t\tthis.min.min( box.min );\n\t\tthis.max.max( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\t// transform of empty box is an empty box.\n\t\tif ( this.isEmpty() ) return this;\n\n\t\t// NOTE: I am using a binary pattern to specify all 2^3 combinations below\n\t\t_points[ 0 ].set( this.min.x, this.min.y, this.min.z ).applyMatrix4( matrix ); // 000\n\t\t_points[ 1 ].set( this.min.x, this.min.y, this.max.z ).applyMatrix4( matrix ); // 001\n\t\t_points[ 2 ].set( this.min.x, this.max.y, this.min.z ).applyMatrix4( matrix ); // 010\n\t\t_points[ 3 ].set( this.min.x, this.max.y, this.max.z ).applyMatrix4( matrix ); // 011\n\t\t_points[ 4 ].set( this.max.x, this.min.y, this.min.z ).applyMatrix4( matrix ); // 100\n\t\t_points[ 5 ].set( this.max.x, this.min.y, this.max.z ).applyMatrix4( matrix ); // 101\n\t\t_points[ 6 ].set( this.max.x, this.max.y, this.min.z ).applyMatrix4( matrix ); // 110\n\t\t_points[ 7 ].set( this.max.x, this.max.y, this.max.z ).applyMatrix4( matrix ); // 111\n\n\t\tthis.setFromPoints( _points );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.min.add( offset );\n\t\tthis.max.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\tequals( box ) {\n\n\t\treturn box.min.equals( this.min ) && box.max.equals( this.max );\n\n\t}\n\n}\n\nconst _points = [\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3(),\n\t/*@__PURE__*/ new Vector3()\n];\n\nconst _vector$b = /*@__PURE__*/ new Vector3();\n\nconst _box$4 = /*@__PURE__*/ new Box3();\n\n// triangle centered vertices\n\nconst _v0$2 = /*@__PURE__*/ new Vector3();\nconst _v1$7 = /*@__PURE__*/ new Vector3();\nconst _v2$4 = /*@__PURE__*/ new Vector3();\n\n// triangle edge vectors\n\nconst _f0 = /*@__PURE__*/ new Vector3();\nconst _f1 = /*@__PURE__*/ new Vector3();\nconst _f2 = /*@__PURE__*/ new Vector3();\n\nconst _center = /*@__PURE__*/ new Vector3();\nconst _extents = /*@__PURE__*/ new Vector3();\nconst _triangleNormal = /*@__PURE__*/ new Vector3();\nconst _testAxis = /*@__PURE__*/ new Vector3();\n\nfunction satForAxes( axes, v0, v1, v2, extents ) {\n\n\tfor ( let i = 0, j = axes.length - 3; i <= j; i += 3 ) {\n\n\t\t_testAxis.fromArray( axes, i );\n\t\t// project the aabb onto the separating axis\n\t\tconst r = extents.x * Math.abs( _testAxis.x ) + extents.y * Math.abs( _testAxis.y ) + extents.z * Math.abs( _testAxis.z );\n\t\t// project all 3 vertices of the triangle onto the separating axis\n\t\tconst p0 = v0.dot( _testAxis );\n\t\tconst p1 = v1.dot( _testAxis );\n\t\tconst p2 = v2.dot( _testAxis );\n\t\t// actual test, basically see if either of the most extreme of the triangle points intersects r\n\t\tif ( Math.max( - Math.max( p0, p1, p2 ), Math.min( p0, p1, p2 ) ) > r ) {\n\n\t\t\t// points of the projected triangle are outside the projected half-length of the aabb\n\t\t\t// the axis is separating and we can exit\n\t\t\treturn false;\n\n\t\t}\n\n\t}\n\n\treturn true;\n\n}\n\nconst _box$3 = /*@__PURE__*/ new Box3();\nconst _v1$6 = /*@__PURE__*/ new Vector3();\nconst _v2$3 = /*@__PURE__*/ new Vector3();\n\nclass Sphere {\n\n\tconstructor( center = new Vector3(), radius = - 1 ) {\n\n\t\tthis.isSphere = true;\n\n\t\tthis.center = center;\n\t\tthis.radius = radius;\n\n\t}\n\n\tset( center, radius ) {\n\n\t\tthis.center.copy( center );\n\t\tthis.radius = radius;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points, optionalCenter ) {\n\n\t\tconst center = this.center;\n\n\t\tif ( optionalCenter !== undefined ) {\n\n\t\t\tcenter.copy( optionalCenter );\n\n\t\t} else {\n\n\t\t\t_box$3.setFromPoints( points ).getCenter( center );\n\n\t\t}\n\n\t\tlet maxRadiusSq = 0;\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( points[ i ] ) );\n\n\t\t}\n\n\t\tthis.radius = Math.sqrt( maxRadiusSq );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( sphere ) {\n\n\t\tthis.center.copy( sphere.center );\n\t\tthis.radius = sphere.radius;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\treturn ( this.radius < 0 );\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.center.set( 0, 0, 0 );\n\t\tthis.radius = - 1;\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn ( point.distanceToSquared( this.center ) <= ( this.radius * this.radius ) );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn ( point.distanceTo( this.center ) - this.radius );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\tconst radiusSum = this.radius + sphere.radius;\n\n\t\treturn sphere.center.distanceToSquared( this.center ) <= ( radiusSum * radiusSum );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsSphere( this );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\treturn Math.abs( plane.distanceToPoint( this.center ) ) <= this.radius;\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\tconst deltaLengthSq = this.center.distanceToSquared( point );\n\n\t\ttarget.copy( point );\n\n\t\tif ( deltaLengthSq > ( this.radius * this.radius ) ) {\n\n\t\t\ttarget.sub( this.center ).normalize();\n\t\t\ttarget.multiplyScalar( this.radius ).add( this.center );\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\tgetBoundingBox( target ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\t// Empty sphere produces empty bounding box\n\t\t\ttarget.makeEmpty();\n\t\t\treturn target;\n\n\t\t}\n\n\t\ttarget.set( this.center, this.center );\n\t\ttarget.expandByScalar( this.radius );\n\n\t\treturn target;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tthis.center.applyMatrix4( matrix );\n\t\tthis.radius = this.radius * matrix.getMaxScaleOnAxis();\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.center.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\tthis.center.copy( point );\n\n\t\t\tthis.radius = 0;\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t_v1$6.subVectors( point, this.center );\n\n\t\tconst lengthSq = _v1$6.lengthSq();\n\n\t\tif ( lengthSq > ( this.radius * this.radius ) ) {\n\n\t\t\t// calculate the minimal sphere\n\n\t\t\tconst length = Math.sqrt( lengthSq );\n\n\t\t\tconst delta = ( length - this.radius ) * 0.5;\n\n\t\t\tthis.center.addScaledVector( _v1$6, delta / length );\n\n\t\t\tthis.radius += delta;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tunion( sphere ) {\n\n\t\tif ( sphere.isEmpty() ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( this.isEmpty() ) {\n\n\t\t\tthis.copy( sphere );\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( this.center.equals( sphere.center ) === true ) {\n\n\t\t\t this.radius = Math.max( this.radius, sphere.radius );\n\n\t\t} else {\n\n\t\t\t_v2$3.subVectors( sphere.center, this.center ).setLength( sphere.radius );\n\n\t\t\tthis.expandByPoint( _v1$6.copy( sphere.center ).add( _v2$3 ) );\n\n\t\t\tthis.expandByPoint( _v1$6.copy( sphere.center ).sub( _v2$3 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tequals( sphere ) {\n\n\t\treturn sphere.center.equals( this.center ) && ( sphere.radius === this.radius );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$a = /*@__PURE__*/ new Vector3();\nconst _segCenter = /*@__PURE__*/ new Vector3();\nconst _segDir = /*@__PURE__*/ new Vector3();\nconst _diff = /*@__PURE__*/ new Vector3();\n\nconst _edge1 = /*@__PURE__*/ new Vector3();\nconst _edge2 = /*@__PURE__*/ new Vector3();\nconst _normal$1 = /*@__PURE__*/ new Vector3();\n\nclass Ray {\n\n\tconstructor( origin = new Vector3(), direction = new Vector3( 0, 0, - 1 ) ) {\n\n\t\tthis.origin = origin;\n\t\tthis.direction = direction;\n\n\t}\n\n\tset( origin, direction ) {\n\n\t\tthis.origin.copy( origin );\n\t\tthis.direction.copy( direction );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( ray ) {\n\n\t\tthis.origin.copy( ray.origin );\n\t\tthis.direction.copy( ray.direction );\n\n\t\treturn this;\n\n\t}\n\n\tat( t, target ) {\n\n\t\treturn target.copy( this.origin ).addScaledVector( this.direction, t );\n\n\t}\n\n\tlookAt( v ) {\n\n\t\tthis.direction.copy( v ).sub( this.origin ).normalize();\n\n\t\treturn this;\n\n\t}\n\n\trecast( t ) {\n\n\t\tthis.origin.copy( this.at( t, _vector$a ) );\n\n\t\treturn this;\n\n\t}\n\n\tclosestPointToPoint( point, target ) {\n\n\t\ttarget.subVectors( point, this.origin );\n\n\t\tconst directionDistance = target.dot( this.direction );\n\n\t\tif ( directionDistance < 0 ) {\n\n\t\t\treturn target.copy( this.origin );\n\n\t\t}\n\n\t\treturn target.copy( this.origin ).addScaledVector( this.direction, directionDistance );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn Math.sqrt( this.distanceSqToPoint( point ) );\n\n\t}\n\n\tdistanceSqToPoint( point ) {\n\n\t\tconst directionDistance = _vector$a.subVectors( point, this.origin ).dot( this.direction );\n\n\t\t// point behind the ray\n\n\t\tif ( directionDistance < 0 ) {\n\n\t\t\treturn this.origin.distanceToSquared( point );\n\n\t\t}\n\n\t\t_vector$a.copy( this.origin ).addScaledVector( this.direction, directionDistance );\n\n\t\treturn _vector$a.distanceToSquared( point );\n\n\t}\n\n\tdistanceSqToSegment( v0, v1, optionalPointOnRay, optionalPointOnSegment ) {\n\n\t\t// from https://github.com/pmjoniak/GeometricTools/blob/master/GTEngine/Include/Mathematics/GteDistRaySegment.h\n\t\t// It returns the min distance between the ray and the segment\n\t\t// defined by v0 and v1\n\t\t// It can also set two optional targets :\n\t\t// - The closest point on the ray\n\t\t// - The closest point on the segment\n\n\t\t_segCenter.copy( v0 ).add( v1 ).multiplyScalar( 0.5 );\n\t\t_segDir.copy( v1 ).sub( v0 ).normalize();\n\t\t_diff.copy( this.origin ).sub( _segCenter );\n\n\t\tconst segExtent = v0.distanceTo( v1 ) * 0.5;\n\t\tconst a01 = - this.direction.dot( _segDir );\n\t\tconst b0 = _diff.dot( this.direction );\n\t\tconst b1 = - _diff.dot( _segDir );\n\t\tconst c = _diff.lengthSq();\n\t\tconst det = Math.abs( 1 - a01 * a01 );\n\t\tlet s0, s1, sqrDist, extDet;\n\n\t\tif ( det > 0 ) {\n\n\t\t\t// The ray and segment are not parallel.\n\n\t\t\ts0 = a01 * b1 - b0;\n\t\t\ts1 = a01 * b0 - b1;\n\t\t\textDet = segExtent * det;\n\n\t\t\tif ( s0 >= 0 ) {\n\n\t\t\t\tif ( s1 >= - extDet ) {\n\n\t\t\t\t\tif ( s1 <= extDet ) {\n\n\t\t\t\t\t\t// region 0\n\t\t\t\t\t\t// Minimum at interior points of ray and segment.\n\n\t\t\t\t\t\tconst invDet = 1 / det;\n\t\t\t\t\t\ts0 *= invDet;\n\t\t\t\t\t\ts1 *= invDet;\n\t\t\t\t\t\tsqrDist = s0 * ( s0 + a01 * s1 + 2 * b0 ) + s1 * ( a01 * s0 + s1 + 2 * b1 ) + c;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// region 1\n\n\t\t\t\t\t\ts1 = segExtent;\n\t\t\t\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// region 5\n\n\t\t\t\t\ts1 = - segExtent;\n\t\t\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( s1 <= - extDet ) {\n\n\t\t\t\t\t// region 4\n\n\t\t\t\t\ts0 = Math.max( 0, - ( - a01 * segExtent + b0 ) );\n\t\t\t\t\ts1 = ( s0 > 0 ) ? - segExtent : Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t} else if ( s1 <= extDet ) {\n\n\t\t\t\t\t// region 3\n\n\t\t\t\t\ts0 = 0;\n\t\t\t\t\ts1 = Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// region 2\n\n\t\t\t\t\ts0 = Math.max( 0, - ( a01 * segExtent + b0 ) );\n\t\t\t\t\ts1 = ( s0 > 0 ) ? segExtent : Math.min( Math.max( - segExtent, - b1 ), segExtent );\n\t\t\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// Ray and segment are parallel.\n\n\t\t\ts1 = ( a01 > 0 ) ? - segExtent : segExtent;\n\t\t\ts0 = Math.max( 0, - ( a01 * s1 + b0 ) );\n\t\t\tsqrDist = - s0 * s0 + s1 * ( s1 + 2 * b1 ) + c;\n\n\t\t}\n\n\t\tif ( optionalPointOnRay ) {\n\n\t\t\toptionalPointOnRay.copy( this.origin ).addScaledVector( this.direction, s0 );\n\n\t\t}\n\n\t\tif ( optionalPointOnSegment ) {\n\n\t\t\toptionalPointOnSegment.copy( _segCenter ).addScaledVector( _segDir, s1 );\n\n\t\t}\n\n\t\treturn sqrDist;\n\n\t}\n\n\tintersectSphere( sphere, target ) {\n\n\t\t_vector$a.subVectors( sphere.center, this.origin );\n\t\tconst tca = _vector$a.dot( this.direction );\n\t\tconst d2 = _vector$a.dot( _vector$a ) - tca * tca;\n\t\tconst radius2 = sphere.radius * sphere.radius;\n\n\t\tif ( d2 > radius2 ) return null;\n\n\t\tconst thc = Math.sqrt( radius2 - d2 );\n\n\t\t// t0 = first intersect point - entrance on front of sphere\n\t\tconst t0 = tca - thc;\n\n\t\t// t1 = second intersect point - exit point on back of sphere\n\t\tconst t1 = tca + thc;\n\n\t\t// test to see if t1 is behind the ray - if so, return null\n\t\tif ( t1 < 0 ) return null;\n\n\t\t// test to see if t0 is behind the ray:\n\t\t// if it is, the ray is inside the sphere, so return the second exit point scaled by t1,\n\t\t// in order to always return an intersect point that is in front of the ray.\n\t\tif ( t0 < 0 ) return this.at( t1, target );\n\n\t\t// else t0 is in front of the ray, so return the first collision point scaled by t0\n\t\treturn this.at( t0, target );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\treturn this.distanceSqToPoint( sphere.center ) <= ( sphere.radius * sphere.radius );\n\n\t}\n\n\tdistanceToPlane( plane ) {\n\n\t\tconst denominator = plane.normal.dot( this.direction );\n\n\t\tif ( denominator === 0 ) {\n\n\t\t\t// line is coplanar, return origin\n\t\t\tif ( plane.distanceToPoint( this.origin ) === 0 ) {\n\n\t\t\t\treturn 0;\n\n\t\t\t}\n\n\t\t\t// Null is preferable to undefined since undefined means.... it is undefined\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst t = - ( this.origin.dot( plane.normal ) + plane.constant ) / denominator;\n\n\t\t// Return if the ray never intersects the plane\n\n\t\treturn t >= 0 ? t : null;\n\n\t}\n\n\tintersectPlane( plane, target ) {\n\n\t\tconst t = this.distanceToPlane( plane );\n\n\t\tif ( t === null ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn this.at( t, target );\n\n\t}\n\n\tintersectsPlane( plane ) {\n\n\t\t// check if the ray lies on the plane first\n\n\t\tconst distToPoint = plane.distanceToPoint( this.origin );\n\n\t\tif ( distToPoint === 0 ) {\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\tconst denominator = plane.normal.dot( this.direction );\n\n\t\tif ( denominator * distToPoint < 0 ) {\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\t// ray origin is behind the plane (and is pointing behind it)\n\n\t\treturn false;\n\n\t}\n\n\tintersectBox( box, target ) {\n\n\t\tlet tmin, tmax, tymin, tymax, tzmin, tzmax;\n\n\t\tconst invdirx = 1 / this.direction.x,\n\t\t\tinvdiry = 1 / this.direction.y,\n\t\t\tinvdirz = 1 / this.direction.z;\n\n\t\tconst origin = this.origin;\n\n\t\tif ( invdirx >= 0 ) {\n\n\t\t\ttmin = ( box.min.x - origin.x ) * invdirx;\n\t\t\ttmax = ( box.max.x - origin.x ) * invdirx;\n\n\t\t} else {\n\n\t\t\ttmin = ( box.max.x - origin.x ) * invdirx;\n\t\t\ttmax = ( box.min.x - origin.x ) * invdirx;\n\n\t\t}\n\n\t\tif ( invdiry >= 0 ) {\n\n\t\t\ttymin = ( box.min.y - origin.y ) * invdiry;\n\t\t\ttymax = ( box.max.y - origin.y ) * invdiry;\n\n\t\t} else {\n\n\t\t\ttymin = ( box.max.y - origin.y ) * invdiry;\n\t\t\ttymax = ( box.min.y - origin.y ) * invdiry;\n\n\t\t}\n\n\t\tif ( ( tmin > tymax ) || ( tymin > tmax ) ) return null;\n\n\t\tif ( tymin > tmin || isNaN( tmin ) ) tmin = tymin;\n\n\t\tif ( tymax < tmax || isNaN( tmax ) ) tmax = tymax;\n\n\t\tif ( invdirz >= 0 ) {\n\n\t\t\ttzmin = ( box.min.z - origin.z ) * invdirz;\n\t\t\ttzmax = ( box.max.z - origin.z ) * invdirz;\n\n\t\t} else {\n\n\t\t\ttzmin = ( box.max.z - origin.z ) * invdirz;\n\t\t\ttzmax = ( box.min.z - origin.z ) * invdirz;\n\n\t\t}\n\n\t\tif ( ( tmin > tzmax ) || ( tzmin > tmax ) ) return null;\n\n\t\tif ( tzmin > tmin || tmin !== tmin ) tmin = tzmin;\n\n\t\tif ( tzmax < tmax || tmax !== tmax ) tmax = tzmax;\n\n\t\t//return point closest to the ray (positive side)\n\n\t\tif ( tmax < 0 ) return null;\n\n\t\treturn this.at( tmin >= 0 ? tmin : tmax, target );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn this.intersectBox( box, _vector$a ) !== null;\n\n\t}\n\n\tintersectTriangle( a, b, c, backfaceCulling, target ) {\n\n\t\t// Compute the offset origin, edges, and normal.\n\n\t\t// from https://github.com/pmjoniak/GeometricTools/blob/master/GTEngine/Include/Mathematics/GteIntrRay3Triangle3.h\n\n\t\t_edge1.subVectors( b, a );\n\t\t_edge2.subVectors( c, a );\n\t\t_normal$1.crossVectors( _edge1, _edge2 );\n\n\t\t// Solve Q + t*D = b1*E1 + b2*E2 (Q = kDiff, D = ray direction,\n\t\t// E1 = kEdge1, E2 = kEdge2, N = Cross(E1,E2)) by\n\t\t// |Dot(D,N)|*b1 = sign(Dot(D,N))*Dot(D,Cross(Q,E2))\n\t\t// |Dot(D,N)|*b2 = sign(Dot(D,N))*Dot(D,Cross(E1,Q))\n\t\t// |Dot(D,N)|*t = -sign(Dot(D,N))*Dot(Q,N)\n\t\tlet DdN = this.direction.dot( _normal$1 );\n\t\tlet sign;\n\n\t\tif ( DdN > 0 ) {\n\n\t\t\tif ( backfaceCulling ) return null;\n\t\t\tsign = 1;\n\n\t\t} else if ( DdN < 0 ) {\n\n\t\t\tsign = - 1;\n\t\t\tDdN = - DdN;\n\n\t\t} else {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t_diff.subVectors( this.origin, a );\n\t\tconst DdQxE2 = sign * this.direction.dot( _edge2.crossVectors( _diff, _edge2 ) );\n\n\t\t// b1 < 0, no intersection\n\t\tif ( DdQxE2 < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst DdE1xQ = sign * this.direction.dot( _edge1.cross( _diff ) );\n\n\t\t// b2 < 0, no intersection\n\t\tif ( DdE1xQ < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// b1+b2 > 1, no intersection\n\t\tif ( DdQxE2 + DdE1xQ > DdN ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// Line intersects triangle, check if ray does.\n\t\tconst QdN = - sign * _diff.dot( _normal$1 );\n\n\t\t// t < 0, no intersection\n\t\tif ( QdN < 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\t// Ray intersects triangle.\n\t\treturn this.at( QdN / DdN, target );\n\n\t}\n\n\tapplyMatrix4( matrix4 ) {\n\n\t\tthis.origin.applyMatrix4( matrix4 );\n\t\tthis.direction.transformDirection( matrix4 );\n\n\t\treturn this;\n\n\t}\n\n\tequals( ray ) {\n\n\t\treturn ray.origin.equals( this.origin ) && ray.direction.equals( this.direction );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass Matrix4 {\n\n\tconstructor( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 ) {\n\n\t\tMatrix4.prototype.isMatrix4 = true;\n\n\t\tthis.elements = [\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, 1, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t];\n\n\t\tif ( n11 !== undefined ) {\n\n\t\t\tthis.set( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 );\n\n\t\t}\n\n\t}\n\n\tset( n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44 ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] = n11; te[ 4 ] = n12; te[ 8 ] = n13; te[ 12 ] = n14;\n\t\tte[ 1 ] = n21; te[ 5 ] = n22; te[ 9 ] = n23; te[ 13 ] = n24;\n\t\tte[ 2 ] = n31; te[ 6 ] = n32; te[ 10 ] = n33; te[ 14 ] = n34;\n\t\tte[ 3 ] = n41; te[ 7 ] = n42; te[ 11 ] = n43; te[ 15 ] = n44;\n\n\t\treturn this;\n\n\t}\n\n\tidentity() {\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, 1, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Matrix4().fromArray( this.elements );\n\n\t}\n\n\tcopy( m ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tte[ 0 ] = me[ 0 ]; te[ 1 ] = me[ 1 ]; te[ 2 ] = me[ 2 ]; te[ 3 ] = me[ 3 ];\n\t\tte[ 4 ] = me[ 4 ]; te[ 5 ] = me[ 5 ]; te[ 6 ] = me[ 6 ]; te[ 7 ] = me[ 7 ];\n\t\tte[ 8 ] = me[ 8 ]; te[ 9 ] = me[ 9 ]; te[ 10 ] = me[ 10 ]; te[ 11 ] = me[ 11 ];\n\t\tte[ 12 ] = me[ 12 ]; te[ 13 ] = me[ 13 ]; te[ 14 ] = me[ 14 ]; te[ 15 ] = me[ 15 ];\n\n\t\treturn this;\n\n\t}\n\n\tcopyPosition( m ) {\n\n\t\tconst te = this.elements, me = m.elements;\n\n\t\tte[ 12 ] = me[ 12 ];\n\t\tte[ 13 ] = me[ 13 ];\n\t\tte[ 14 ] = me[ 14 ];\n\n\t\treturn this;\n\n\t}\n\n\tsetFromMatrix3( m ) {\n\n\t\tconst me = m.elements;\n\n\t\tthis.set(\n\n\t\t\tme[ 0 ], me[ 3 ], me[ 6 ], 0,\n\t\t\tme[ 1 ], me[ 4 ], me[ 7 ], 0,\n\t\t\tme[ 2 ], me[ 5 ], me[ 8 ], 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\textractBasis( xAxis, yAxis, zAxis ) {\n\n\t\txAxis.setFromMatrixColumn( this, 0 );\n\t\tyAxis.setFromMatrixColumn( this, 1 );\n\t\tzAxis.setFromMatrixColumn( this, 2 );\n\n\t\treturn this;\n\n\t}\n\n\tmakeBasis( xAxis, yAxis, zAxis ) {\n\n\t\tthis.set(\n\t\t\txAxis.x, yAxis.x, zAxis.x, 0,\n\t\t\txAxis.y, yAxis.y, zAxis.y, 0,\n\t\t\txAxis.z, yAxis.z, zAxis.z, 0,\n\t\t\t0, 0, 0, 1\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\textractRotation( m ) {\n\n\t\t// this method does not support reflection matrices\n\n\t\tconst te = this.elements;\n\t\tconst me = m.elements;\n\n\t\tconst scaleX = 1 / _v1$5.setFromMatrixColumn( m, 0 ).length();\n\t\tconst scaleY = 1 / _v1$5.setFromMatrixColumn( m, 1 ).length();\n\t\tconst scaleZ = 1 / _v1$5.setFromMatrixColumn( m, 2 ).length();\n\n\t\tte[ 0 ] = me[ 0 ] * scaleX;\n\t\tte[ 1 ] = me[ 1 ] * scaleX;\n\t\tte[ 2 ] = me[ 2 ] * scaleX;\n\t\tte[ 3 ] = 0;\n\n\t\tte[ 4 ] = me[ 4 ] * scaleY;\n\t\tte[ 5 ] = me[ 5 ] * scaleY;\n\t\tte[ 6 ] = me[ 6 ] * scaleY;\n\t\tte[ 7 ] = 0;\n\n\t\tte[ 8 ] = me[ 8 ] * scaleZ;\n\t\tte[ 9 ] = me[ 9 ] * scaleZ;\n\t\tte[ 10 ] = me[ 10 ] * scaleZ;\n\t\tte[ 11 ] = 0;\n\n\t\tte[ 12 ] = 0;\n\t\tte[ 13 ] = 0;\n\t\tte[ 14 ] = 0;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationFromEuler( euler ) {\n\n\t\tconst te = this.elements;\n\n\t\tconst x = euler.x, y = euler.y, z = euler.z;\n\t\tconst a = Math.cos( x ), b = Math.sin( x );\n\t\tconst c = Math.cos( y ), d = Math.sin( y );\n\t\tconst e = Math.cos( z ), f = Math.sin( z );\n\n\t\tif ( euler.order === 'XYZ' ) {\n\n\t\t\tconst ae = a * e, af = a * f, be = b * e, bf = b * f;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = - c * f;\n\t\t\tte[ 8 ] = d;\n\n\t\t\tte[ 1 ] = af + be * d;\n\t\t\tte[ 5 ] = ae - bf * d;\n\t\t\tte[ 9 ] = - b * c;\n\n\t\t\tte[ 2 ] = bf - ae * d;\n\t\t\tte[ 6 ] = be + af * d;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'YXZ' ) {\n\n\t\t\tconst ce = c * e, cf = c * f, de = d * e, df = d * f;\n\n\t\t\tte[ 0 ] = ce + df * b;\n\t\t\tte[ 4 ] = de * b - cf;\n\t\t\tte[ 8 ] = a * d;\n\n\t\t\tte[ 1 ] = a * f;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = - b;\n\n\t\t\tte[ 2 ] = cf * b - de;\n\t\t\tte[ 6 ] = df + ce * b;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'ZXY' ) {\n\n\t\t\tconst ce = c * e, cf = c * f, de = d * e, df = d * f;\n\n\t\t\tte[ 0 ] = ce - df * b;\n\t\t\tte[ 4 ] = - a * f;\n\t\t\tte[ 8 ] = de + cf * b;\n\n\t\t\tte[ 1 ] = cf + de * b;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = df - ce * b;\n\n\t\t\tte[ 2 ] = - a * d;\n\t\t\tte[ 6 ] = b;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'ZYX' ) {\n\n\t\t\tconst ae = a * e, af = a * f, be = b * e, bf = b * f;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = be * d - af;\n\t\t\tte[ 8 ] = ae * d + bf;\n\n\t\t\tte[ 1 ] = c * f;\n\t\t\tte[ 5 ] = bf * d + ae;\n\t\t\tte[ 9 ] = af * d - be;\n\n\t\t\tte[ 2 ] = - d;\n\t\t\tte[ 6 ] = b * c;\n\t\t\tte[ 10 ] = a * c;\n\n\t\t} else if ( euler.order === 'YZX' ) {\n\n\t\t\tconst ac = a * c, ad = a * d, bc = b * c, bd = b * d;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = bd - ac * f;\n\t\t\tte[ 8 ] = bc * f + ad;\n\n\t\t\tte[ 1 ] = f;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = - b * e;\n\n\t\t\tte[ 2 ] = - d * e;\n\t\t\tte[ 6 ] = ad * f + bc;\n\t\t\tte[ 10 ] = ac - bd * f;\n\n\t\t} else if ( euler.order === 'XZY' ) {\n\n\t\t\tconst ac = a * c, ad = a * d, bc = b * c, bd = b * d;\n\n\t\t\tte[ 0 ] = c * e;\n\t\t\tte[ 4 ] = - f;\n\t\t\tte[ 8 ] = d * e;\n\n\t\t\tte[ 1 ] = ac * f + bd;\n\t\t\tte[ 5 ] = a * e;\n\t\t\tte[ 9 ] = ad * f - bc;\n\n\t\t\tte[ 2 ] = bc * f - ad;\n\t\t\tte[ 6 ] = b * e;\n\t\t\tte[ 10 ] = bd * f + ac;\n\n\t\t}\n\n\t\t// bottom row\n\t\tte[ 3 ] = 0;\n\t\tte[ 7 ] = 0;\n\t\tte[ 11 ] = 0;\n\n\t\t// last column\n\t\tte[ 12 ] = 0;\n\t\tte[ 13 ] = 0;\n\t\tte[ 14 ] = 0;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationFromQuaternion( q ) {\n\n\t\treturn this.compose( _zero, q, _one );\n\n\t}\n\n\tlookAt( eye, target, up ) {\n\n\t\tconst te = this.elements;\n\n\t\t_z.subVectors( eye, target );\n\n\t\tif ( _z.lengthSq() === 0 ) {\n\n\t\t\t// eye and target are in the same position\n\n\t\t\t_z.z = 1;\n\n\t\t}\n\n\t\t_z.normalize();\n\t\t_x.crossVectors( up, _z );\n\n\t\tif ( _x.lengthSq() === 0 ) {\n\n\t\t\t// up and z are parallel\n\n\t\t\tif ( Math.abs( up.z ) === 1 ) {\n\n\t\t\t\t_z.x += 0.0001;\n\n\t\t\t} else {\n\n\t\t\t\t_z.z += 0.0001;\n\n\t\t\t}\n\n\t\t\t_z.normalize();\n\t\t\t_x.crossVectors( up, _z );\n\n\t\t}\n\n\t\t_x.normalize();\n\t\t_y.crossVectors( _z, _x );\n\n\t\tte[ 0 ] = _x.x; te[ 4 ] = _y.x; te[ 8 ] = _z.x;\n\t\tte[ 1 ] = _x.y; te[ 5 ] = _y.y; te[ 9 ] = _z.y;\n\t\tte[ 2 ] = _x.z; te[ 6 ] = _y.z; te[ 10 ] = _z.z;\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( m ) {\n\n\t\treturn this.multiplyMatrices( this, m );\n\n\t}\n\n\tpremultiply( m ) {\n\n\t\treturn this.multiplyMatrices( m, this );\n\n\t}\n\n\tmultiplyMatrices( a, b ) {\n\n\t\tconst ae = a.elements;\n\t\tconst be = b.elements;\n\t\tconst te = this.elements;\n\n\t\tconst a11 = ae[ 0 ], a12 = ae[ 4 ], a13 = ae[ 8 ], a14 = ae[ 12 ];\n\t\tconst a21 = ae[ 1 ], a22 = ae[ 5 ], a23 = ae[ 9 ], a24 = ae[ 13 ];\n\t\tconst a31 = ae[ 2 ], a32 = ae[ 6 ], a33 = ae[ 10 ], a34 = ae[ 14 ];\n\t\tconst a41 = ae[ 3 ], a42 = ae[ 7 ], a43 = ae[ 11 ], a44 = ae[ 15 ];\n\n\t\tconst b11 = be[ 0 ], b12 = be[ 4 ], b13 = be[ 8 ], b14 = be[ 12 ];\n\t\tconst b21 = be[ 1 ], b22 = be[ 5 ], b23 = be[ 9 ], b24 = be[ 13 ];\n\t\tconst b31 = be[ 2 ], b32 = be[ 6 ], b33 = be[ 10 ], b34 = be[ 14 ];\n\t\tconst b41 = be[ 3 ], b42 = be[ 7 ], b43 = be[ 11 ], b44 = be[ 15 ];\n\n\t\tte[ 0 ] = a11 * b11 + a12 * b21 + a13 * b31 + a14 * b41;\n\t\tte[ 4 ] = a11 * b12 + a12 * b22 + a13 * b32 + a14 * b42;\n\t\tte[ 8 ] = a11 * b13 + a12 * b23 + a13 * b33 + a14 * b43;\n\t\tte[ 12 ] = a11 * b14 + a12 * b24 + a13 * b34 + a14 * b44;\n\n\t\tte[ 1 ] = a21 * b11 + a22 * b21 + a23 * b31 + a24 * b41;\n\t\tte[ 5 ] = a21 * b12 + a22 * b22 + a23 * b32 + a24 * b42;\n\t\tte[ 9 ] = a21 * b13 + a22 * b23 + a23 * b33 + a24 * b43;\n\t\tte[ 13 ] = a21 * b14 + a22 * b24 + a23 * b34 + a24 * b44;\n\n\t\tte[ 2 ] = a31 * b11 + a32 * b21 + a33 * b31 + a34 * b41;\n\t\tte[ 6 ] = a31 * b12 + a32 * b22 + a33 * b32 + a34 * b42;\n\t\tte[ 10 ] = a31 * b13 + a32 * b23 + a33 * b33 + a34 * b43;\n\t\tte[ 14 ] = a31 * b14 + a32 * b24 + a33 * b34 + a34 * b44;\n\n\t\tte[ 3 ] = a41 * b11 + a42 * b21 + a43 * b31 + a44 * b41;\n\t\tte[ 7 ] = a41 * b12 + a42 * b22 + a43 * b32 + a44 * b42;\n\t\tte[ 11 ] = a41 * b13 + a42 * b23 + a43 * b33 + a44 * b43;\n\t\tte[ 15 ] = a41 * b14 + a42 * b24 + a43 * b34 + a44 * b44;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tconst te = this.elements;\n\n\t\tte[ 0 ] *= s; te[ 4 ] *= s; te[ 8 ] *= s; te[ 12 ] *= s;\n\t\tte[ 1 ] *= s; te[ 5 ] *= s; te[ 9 ] *= s; te[ 13 ] *= s;\n\t\tte[ 2 ] *= s; te[ 6 ] *= s; te[ 10 ] *= s; te[ 14 ] *= s;\n\t\tte[ 3 ] *= s; te[ 7 ] *= s; te[ 11 ] *= s; te[ 15 ] *= s;\n\n\t\treturn this;\n\n\t}\n\n\tdeterminant() {\n\n\t\tconst te = this.elements;\n\n\t\tconst n11 = te[ 0 ], n12 = te[ 4 ], n13 = te[ 8 ], n14 = te[ 12 ];\n\t\tconst n21 = te[ 1 ], n22 = te[ 5 ], n23 = te[ 9 ], n24 = te[ 13 ];\n\t\tconst n31 = te[ 2 ], n32 = te[ 6 ], n33 = te[ 10 ], n34 = te[ 14 ];\n\t\tconst n41 = te[ 3 ], n42 = te[ 7 ], n43 = te[ 11 ], n44 = te[ 15 ];\n\n\t\t//TODO: make this more efficient\n\t\t//( based on http://www.euclideanspace.com/maths/algebra/matrix/functions/inverse/fourD/index.htm )\n\n\t\treturn (\n\t\t\tn41 * (\n\t\t\t\t+ n14 * n23 * n32\n\t\t\t\t - n13 * n24 * n32\n\t\t\t\t - n14 * n22 * n33\n\t\t\t\t + n12 * n24 * n33\n\t\t\t\t + n13 * n22 * n34\n\t\t\t\t - n12 * n23 * n34\n\t\t\t) +\n\t\t\tn42 * (\n\t\t\t\t+ n11 * n23 * n34\n\t\t\t\t - n11 * n24 * n33\n\t\t\t\t + n14 * n21 * n33\n\t\t\t\t - n13 * n21 * n34\n\t\t\t\t + n13 * n24 * n31\n\t\t\t\t - n14 * n23 * n31\n\t\t\t) +\n\t\t\tn43 * (\n\t\t\t\t+ n11 * n24 * n32\n\t\t\t\t - n11 * n22 * n34\n\t\t\t\t - n14 * n21 * n32\n\t\t\t\t + n12 * n21 * n34\n\t\t\t\t + n14 * n22 * n31\n\t\t\t\t - n12 * n24 * n31\n\t\t\t) +\n\t\t\tn44 * (\n\t\t\t\t- n13 * n22 * n31\n\t\t\t\t - n11 * n23 * n32\n\t\t\t\t + n11 * n22 * n33\n\t\t\t\t + n13 * n21 * n32\n\t\t\t\t - n12 * n21 * n33\n\t\t\t\t + n12 * n23 * n31\n\t\t\t)\n\n\t\t);\n\n\t}\n\n\ttranspose() {\n\n\t\tconst te = this.elements;\n\t\tlet tmp;\n\n\t\ttmp = te[ 1 ]; te[ 1 ] = te[ 4 ]; te[ 4 ] = tmp;\n\t\ttmp = te[ 2 ]; te[ 2 ] = te[ 8 ]; te[ 8 ] = tmp;\n\t\ttmp = te[ 6 ]; te[ 6 ] = te[ 9 ]; te[ 9 ] = tmp;\n\n\t\ttmp = te[ 3 ]; te[ 3 ] = te[ 12 ]; te[ 12 ] = tmp;\n\t\ttmp = te[ 7 ]; te[ 7 ] = te[ 13 ]; te[ 13 ] = tmp;\n\t\ttmp = te[ 11 ]; te[ 11 ] = te[ 14 ]; te[ 14 ] = tmp;\n\n\t\treturn this;\n\n\t}\n\n\tsetPosition( x, y, z ) {\n\n\t\tconst te = this.elements;\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\tte[ 12 ] = x.x;\n\t\t\tte[ 13 ] = x.y;\n\t\t\tte[ 14 ] = x.z;\n\n\t\t} else {\n\n\t\t\tte[ 12 ] = x;\n\t\t\tte[ 13 ] = y;\n\t\t\tte[ 14 ] = z;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tinvert() {\n\n\t\t// based on http://www.euclideanspace.com/maths/algebra/matrix/functions/inverse/fourD/index.htm\n\t\tconst te = this.elements,\n\n\t\t\tn11 = te[ 0 ], n21 = te[ 1 ], n31 = te[ 2 ], n41 = te[ 3 ],\n\t\t\tn12 = te[ 4 ], n22 = te[ 5 ], n32 = te[ 6 ], n42 = te[ 7 ],\n\t\t\tn13 = te[ 8 ], n23 = te[ 9 ], n33 = te[ 10 ], n43 = te[ 11 ],\n\t\t\tn14 = te[ 12 ], n24 = te[ 13 ], n34 = te[ 14 ], n44 = te[ 15 ],\n\n\t\t\tt11 = n23 * n34 * n42 - n24 * n33 * n42 + n24 * n32 * n43 - n22 * n34 * n43 - n23 * n32 * n44 + n22 * n33 * n44,\n\t\t\tt12 = n14 * n33 * n42 - n13 * n34 * n42 - n14 * n32 * n43 + n12 * n34 * n43 + n13 * n32 * n44 - n12 * n33 * n44,\n\t\t\tt13 = n13 * n24 * n42 - n14 * n23 * n42 + n14 * n22 * n43 - n12 * n24 * n43 - n13 * n22 * n44 + n12 * n23 * n44,\n\t\t\tt14 = n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34;\n\n\t\tconst det = n11 * t11 + n21 * t12 + n31 * t13 + n41 * t14;\n\n\t\tif ( det === 0 ) return this.set( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 );\n\n\t\tconst detInv = 1 / det;\n\n\t\tte[ 0 ] = t11 * detInv;\n\t\tte[ 1 ] = ( n24 * n33 * n41 - n23 * n34 * n41 - n24 * n31 * n43 + n21 * n34 * n43 + n23 * n31 * n44 - n21 * n33 * n44 ) * detInv;\n\t\tte[ 2 ] = ( n22 * n34 * n41 - n24 * n32 * n41 + n24 * n31 * n42 - n21 * n34 * n42 - n22 * n31 * n44 + n21 * n32 * n44 ) * detInv;\n\t\tte[ 3 ] = ( n23 * n32 * n41 - n22 * n33 * n41 - n23 * n31 * n42 + n21 * n33 * n42 + n22 * n31 * n43 - n21 * n32 * n43 ) * detInv;\n\n\t\tte[ 4 ] = t12 * detInv;\n\t\tte[ 5 ] = ( n13 * n34 * n41 - n14 * n33 * n41 + n14 * n31 * n43 - n11 * n34 * n43 - n13 * n31 * n44 + n11 * n33 * n44 ) * detInv;\n\t\tte[ 6 ] = ( n14 * n32 * n41 - n12 * n34 * n41 - n14 * n31 * n42 + n11 * n34 * n42 + n12 * n31 * n44 - n11 * n32 * n44 ) * detInv;\n\t\tte[ 7 ] = ( n12 * n33 * n41 - n13 * n32 * n41 + n13 * n31 * n42 - n11 * n33 * n42 - n12 * n31 * n43 + n11 * n32 * n43 ) * detInv;\n\n\t\tte[ 8 ] = t13 * detInv;\n\t\tte[ 9 ] = ( n14 * n23 * n41 - n13 * n24 * n41 - n14 * n21 * n43 + n11 * n24 * n43 + n13 * n21 * n44 - n11 * n23 * n44 ) * detInv;\n\t\tte[ 10 ] = ( n12 * n24 * n41 - n14 * n22 * n41 + n14 * n21 * n42 - n11 * n24 * n42 - n12 * n21 * n44 + n11 * n22 * n44 ) * detInv;\n\t\tte[ 11 ] = ( n13 * n22 * n41 - n12 * n23 * n41 - n13 * n21 * n42 + n11 * n23 * n42 + n12 * n21 * n43 - n11 * n22 * n43 ) * detInv;\n\n\t\tte[ 12 ] = t14 * detInv;\n\t\tte[ 13 ] = ( n13 * n24 * n31 - n14 * n23 * n31 + n14 * n21 * n33 - n11 * n24 * n33 - n13 * n21 * n34 + n11 * n23 * n34 ) * detInv;\n\t\tte[ 14 ] = ( n14 * n22 * n31 - n12 * n24 * n31 - n14 * n21 * n32 + n11 * n24 * n32 + n12 * n21 * n34 - n11 * n22 * n34 ) * detInv;\n\t\tte[ 15 ] = ( n12 * n23 * n31 - n13 * n22 * n31 + n13 * n21 * n32 - n11 * n23 * n32 - n12 * n21 * n33 + n11 * n22 * n33 ) * detInv;\n\n\t\treturn this;\n\n\t}\n\n\tscale( v ) {\n\n\t\tconst te = this.elements;\n\t\tconst x = v.x, y = v.y, z = v.z;\n\n\t\tte[ 0 ] *= x; te[ 4 ] *= y; te[ 8 ] *= z;\n\t\tte[ 1 ] *= x; te[ 5 ] *= y; te[ 9 ] *= z;\n\t\tte[ 2 ] *= x; te[ 6 ] *= y; te[ 10 ] *= z;\n\t\tte[ 3 ] *= x; te[ 7 ] *= y; te[ 11 ] *= z;\n\n\t\treturn this;\n\n\t}\n\n\tgetMaxScaleOnAxis() {\n\n\t\tconst te = this.elements;\n\n\t\tconst scaleXSq = te[ 0 ] * te[ 0 ] + te[ 1 ] * te[ 1 ] + te[ 2 ] * te[ 2 ];\n\t\tconst scaleYSq = te[ 4 ] * te[ 4 ] + te[ 5 ] * te[ 5 ] + te[ 6 ] * te[ 6 ];\n\t\tconst scaleZSq = te[ 8 ] * te[ 8 ] + te[ 9 ] * te[ 9 ] + te[ 10 ] * te[ 10 ];\n\n\t\treturn Math.sqrt( Math.max( scaleXSq, scaleYSq, scaleZSq ) );\n\n\t}\n\n\tmakeTranslation( x, y, z ) {\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, 0, x.x,\n\t\t\t\t0, 1, 0, x.y,\n\t\t\t\t0, 0, 1, x.z,\n\t\t\t\t0, 0, 0, 1\n\n\t\t\t);\n\n\t\t} else {\n\n\t\t\tthis.set(\n\n\t\t\t\t1, 0, 0, x,\n\t\t\t\t0, 1, 0, y,\n\t\t\t\t0, 0, 1, z,\n\t\t\t\t0, 0, 0, 1\n\n\t\t\t);\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationX( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\t1, 0, 0, 0,\n\t\t\t0, c, - s, 0,\n\t\t\t0, s, c, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationY( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\t c, 0, s, 0,\n\t\t\t 0, 1, 0, 0,\n\t\t\t- s, 0, c, 0,\n\t\t\t 0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationZ( theta ) {\n\n\t\tconst c = Math.cos( theta ), s = Math.sin( theta );\n\n\t\tthis.set(\n\n\t\t\tc, - s, 0, 0,\n\t\t\ts, c, 0, 0,\n\t\t\t0, 0, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeRotationAxis( axis, angle ) {\n\n\t\t// Based on http://www.gamedev.net/reference/articles/article1199.asp\n\n\t\tconst c = Math.cos( angle );\n\t\tconst s = Math.sin( angle );\n\t\tconst t = 1 - c;\n\t\tconst x = axis.x, y = axis.y, z = axis.z;\n\t\tconst tx = t * x, ty = t * y;\n\n\t\tthis.set(\n\n\t\t\ttx * x + c, tx * y - s * z, tx * z + s * y, 0,\n\t\t\ttx * y + s * z, ty * y + c, ty * z - s * x, 0,\n\t\t\ttx * z - s * y, ty * z + s * x, t * z * z + c, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeScale( x, y, z ) {\n\n\t\tthis.set(\n\n\t\t\tx, 0, 0, 0,\n\t\t\t0, y, 0, 0,\n\t\t\t0, 0, z, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tmakeShear( xy, xz, yx, yz, zx, zy ) {\n\n\t\tthis.set(\n\n\t\t\t1, yx, zx, 0,\n\t\t\txy, 1, zy, 0,\n\t\t\txz, yz, 1, 0,\n\t\t\t0, 0, 0, 1\n\n\t\t);\n\n\t\treturn this;\n\n\t}\n\n\tcompose( position, quaternion, scale ) {\n\n\t\tconst te = this.elements;\n\n\t\tconst x = quaternion._x, y = quaternion._y, z = quaternion._z, w = quaternion._w;\n\t\tconst x2 = x + x,\ty2 = y + y, z2 = z + z;\n\t\tconst xx = x * x2, xy = x * y2, xz = x * z2;\n\t\tconst yy = y * y2, yz = y * z2, zz = z * z2;\n\t\tconst wx = w * x2, wy = w * y2, wz = w * z2;\n\n\t\tconst sx = scale.x, sy = scale.y, sz = scale.z;\n\n\t\tte[ 0 ] = ( 1 - ( yy + zz ) ) * sx;\n\t\tte[ 1 ] = ( xy + wz ) * sx;\n\t\tte[ 2 ] = ( xz - wy ) * sx;\n\t\tte[ 3 ] = 0;\n\n\t\tte[ 4 ] = ( xy - wz ) * sy;\n\t\tte[ 5 ] = ( 1 - ( xx + zz ) ) * sy;\n\t\tte[ 6 ] = ( yz + wx ) * sy;\n\t\tte[ 7 ] = 0;\n\n\t\tte[ 8 ] = ( xz + wy ) * sz;\n\t\tte[ 9 ] = ( yz - wx ) * sz;\n\t\tte[ 10 ] = ( 1 - ( xx + yy ) ) * sz;\n\t\tte[ 11 ] = 0;\n\n\t\tte[ 12 ] = position.x;\n\t\tte[ 13 ] = position.y;\n\t\tte[ 14 ] = position.z;\n\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tdecompose( position, quaternion, scale ) {\n\n\t\tconst te = this.elements;\n\n\t\tlet sx = _v1$5.set( te[ 0 ], te[ 1 ], te[ 2 ] ).length();\n\t\tconst sy = _v1$5.set( te[ 4 ], te[ 5 ], te[ 6 ] ).length();\n\t\tconst sz = _v1$5.set( te[ 8 ], te[ 9 ], te[ 10 ] ).length();\n\n\t\t// if determine is negative, we need to invert one scale\n\t\tconst det = this.determinant();\n\t\tif ( det < 0 ) sx = - sx;\n\n\t\tposition.x = te[ 12 ];\n\t\tposition.y = te[ 13 ];\n\t\tposition.z = te[ 14 ];\n\n\t\t// scale the rotation part\n\t\t_m1$2.copy( this );\n\n\t\tconst invSX = 1 / sx;\n\t\tconst invSY = 1 / sy;\n\t\tconst invSZ = 1 / sz;\n\n\t\t_m1$2.elements[ 0 ] *= invSX;\n\t\t_m1$2.elements[ 1 ] *= invSX;\n\t\t_m1$2.elements[ 2 ] *= invSX;\n\n\t\t_m1$2.elements[ 4 ] *= invSY;\n\t\t_m1$2.elements[ 5 ] *= invSY;\n\t\t_m1$2.elements[ 6 ] *= invSY;\n\n\t\t_m1$2.elements[ 8 ] *= invSZ;\n\t\t_m1$2.elements[ 9 ] *= invSZ;\n\t\t_m1$2.elements[ 10 ] *= invSZ;\n\n\t\tquaternion.setFromRotationMatrix( _m1$2 );\n\n\t\tscale.x = sx;\n\t\tscale.y = sy;\n\t\tscale.z = sz;\n\n\t\treturn this;\n\n\t}\n\n\tmakePerspective( left, right, top, bottom, near, far, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst te = this.elements;\n\t\tconst x = 2 * near / ( right - left );\n\t\tconst y = 2 * near / ( top - bottom );\n\n\t\tconst a = ( right + left ) / ( right - left );\n\t\tconst b = ( top + bottom ) / ( top - bottom );\n\n\t\tlet c, d;\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tc = - ( far + near ) / ( far - near );\n\t\t\td = ( - 2 * far * near ) / ( far - near );\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tc = - far / ( far - near );\n\t\t\td = ( - far * near ) / ( far - near );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Matrix4.makePerspective(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tte[ 0 ] = x;\tte[ 4 ] = 0;\tte[ 8 ] = a; \tte[ 12 ] = 0;\n\t\tte[ 1 ] = 0;\tte[ 5 ] = y;\tte[ 9 ] = b; \tte[ 13 ] = 0;\n\t\tte[ 2 ] = 0;\tte[ 6 ] = 0;\tte[ 10 ] = c; \tte[ 14 ] = d;\n\t\tte[ 3 ] = 0;\tte[ 7 ] = 0;\tte[ 11 ] = - 1;\tte[ 15 ] = 0;\n\n\t\treturn this;\n\n\t}\n\n\tmakeOrthographic( left, right, top, bottom, near, far, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst te = this.elements;\n\t\tconst w = 1.0 / ( right - left );\n\t\tconst h = 1.0 / ( top - bottom );\n\t\tconst p = 1.0 / ( far - near );\n\n\t\tconst x = ( right + left ) * w;\n\t\tconst y = ( top + bottom ) * h;\n\n\t\tlet z, zInv;\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tz = ( far + near ) * p;\n\t\t\tzInv = - 2 * p;\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tz = near * p;\n\t\t\tzInv = - 1 * p;\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Matrix4.makeOrthographic(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tte[ 0 ] = 2 * w;\tte[ 4 ] = 0;\t\tte[ 8 ] = 0; \t\tte[ 12 ] = - x;\n\t\tte[ 1 ] = 0; \t\tte[ 5 ] = 2 * h;\tte[ 9 ] = 0; \t\tte[ 13 ] = - y;\n\t\tte[ 2 ] = 0; \t\tte[ 6 ] = 0;\t\tte[ 10 ] = zInv;\tte[ 14 ] = - z;\n\t\tte[ 3 ] = 0; \t\tte[ 7 ] = 0;\t\tte[ 11 ] = 0;\t\tte[ 15 ] = 1;\n\n\t\treturn this;\n\n\t}\n\n\tequals( matrix ) {\n\n\t\tconst te = this.elements;\n\t\tconst me = matrix.elements;\n\n\t\tfor ( let i = 0; i < 16; i ++ ) {\n\n\t\t\tif ( te[ i ] !== me[ i ] ) return false;\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tfor ( let i = 0; i < 16; i ++ ) {\n\n\t\t\tthis.elements[ i ] = array[ i + offset ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst te = this.elements;\n\n\t\tarray[ offset ] = te[ 0 ];\n\t\tarray[ offset + 1 ] = te[ 1 ];\n\t\tarray[ offset + 2 ] = te[ 2 ];\n\t\tarray[ offset + 3 ] = te[ 3 ];\n\n\t\tarray[ offset + 4 ] = te[ 4 ];\n\t\tarray[ offset + 5 ] = te[ 5 ];\n\t\tarray[ offset + 6 ] = te[ 6 ];\n\t\tarray[ offset + 7 ] = te[ 7 ];\n\n\t\tarray[ offset + 8 ] = te[ 8 ];\n\t\tarray[ offset + 9 ] = te[ 9 ];\n\t\tarray[ offset + 10 ] = te[ 10 ];\n\t\tarray[ offset + 11 ] = te[ 11 ];\n\n\t\tarray[ offset + 12 ] = te[ 12 ];\n\t\tarray[ offset + 13 ] = te[ 13 ];\n\t\tarray[ offset + 14 ] = te[ 14 ];\n\t\tarray[ offset + 15 ] = te[ 15 ];\n\n\t\treturn array;\n\n\t}\n\n}\n\nconst _v1$5 = /*@__PURE__*/ new Vector3();\nconst _m1$2 = /*@__PURE__*/ new Matrix4();\nconst _zero = /*@__PURE__*/ new Vector3( 0, 0, 0 );\nconst _one = /*@__PURE__*/ new Vector3( 1, 1, 1 );\nconst _x = /*@__PURE__*/ new Vector3();\nconst _y = /*@__PURE__*/ new Vector3();\nconst _z = /*@__PURE__*/ new Vector3();\n\nconst _matrix$1 = /*@__PURE__*/ new Matrix4();\nconst _quaternion$3 = /*@__PURE__*/ new Quaternion();\n\nclass Euler {\n\n\tconstructor( x = 0, y = 0, z = 0, order = Euler.DEFAULT_ORDER ) {\n\n\t\tthis.isEuler = true;\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._order = order;\n\n\t}\n\n\tget x() {\n\n\t\treturn this._x;\n\n\t}\n\n\tset x( value ) {\n\n\t\tthis._x = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget y() {\n\n\t\treturn this._y;\n\n\t}\n\n\tset y( value ) {\n\n\t\tthis._y = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget z() {\n\n\t\treturn this._z;\n\n\t}\n\n\tset z( value ) {\n\n\t\tthis._z = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tget order() {\n\n\t\treturn this._order;\n\n\t}\n\n\tset order( value ) {\n\n\t\tthis._order = value;\n\t\tthis._onChangeCallback();\n\n\t}\n\n\tset( x, y, z, order = this._order ) {\n\n\t\tthis._x = x;\n\t\tthis._y = y;\n\t\tthis._z = z;\n\t\tthis._order = order;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this._x, this._y, this._z, this._order );\n\n\t}\n\n\tcopy( euler ) {\n\n\t\tthis._x = euler._x;\n\t\tthis._y = euler._y;\n\t\tthis._z = euler._z;\n\t\tthis._order = euler._order;\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromRotationMatrix( m, order = this._order, update = true ) {\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tconst te = m.elements;\n\t\tconst m11 = te[ 0 ], m12 = te[ 4 ], m13 = te[ 8 ];\n\t\tconst m21 = te[ 1 ], m22 = te[ 5 ], m23 = te[ 9 ];\n\t\tconst m31 = te[ 2 ], m32 = te[ 6 ], m33 = te[ 10 ];\n\n\t\tswitch ( order ) {\n\n\t\t\tcase 'XYZ':\n\n\t\t\t\tthis._y = Math.asin( clamp( m13, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m13 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m33 );\n\t\t\t\t\tthis._z = Math.atan2( - m12, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m22 );\n\t\t\t\t\tthis._z = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'YXZ':\n\n\t\t\t\tthis._x = Math.asin( - clamp( m23, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m23 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._y = Math.atan2( m13, m33 );\n\t\t\t\t\tthis._z = Math.atan2( m21, m22 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._y = Math.atan2( - m31, m11 );\n\t\t\t\t\tthis._z = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZXY':\n\n\t\t\t\tthis._x = Math.asin( clamp( m32, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m32 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._y = Math.atan2( - m31, m33 );\n\t\t\t\t\tthis._z = Math.atan2( - m12, m22 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._y = 0;\n\t\t\t\t\tthis._z = Math.atan2( m21, m11 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'ZYX':\n\n\t\t\t\tthis._y = Math.asin( - clamp( m31, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m31 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m33 );\n\t\t\t\t\tthis._z = Math.atan2( m21, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = 0;\n\t\t\t\t\tthis._z = Math.atan2( - m12, m22 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'YZX':\n\n\t\t\t\tthis._z = Math.asin( clamp( m21, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m21 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m22 );\n\t\t\t\t\tthis._y = Math.atan2( - m31, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = 0;\n\t\t\t\t\tthis._y = Math.atan2( m13, m33 );\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'XZY':\n\n\t\t\t\tthis._z = Math.asin( - clamp( m12, - 1, 1 ) );\n\n\t\t\t\tif ( Math.abs( m12 ) < 0.9999999 ) {\n\n\t\t\t\t\tthis._x = Math.atan2( m32, m22 );\n\t\t\t\t\tthis._y = Math.atan2( m13, m11 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis._x = Math.atan2( - m23, m33 );\n\t\t\t\t\tthis._y = 0;\n\n\t\t\t\t}\n\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\n\t\t\t\tconsole.warn( 'THREE.Euler: .setFromRotationMatrix() encountered an unknown order: ' + order );\n\n\t\t}\n\n\t\tthis._order = order;\n\n\t\tif ( update === true ) this._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\tsetFromQuaternion( q, order, update ) {\n\n\t\t_matrix$1.makeRotationFromQuaternion( q );\n\n\t\treturn this.setFromRotationMatrix( _matrix$1, order, update );\n\n\t}\n\n\tsetFromVector3( v, order = this._order ) {\n\n\t\treturn this.set( v.x, v.y, v.z, order );\n\n\t}\n\n\treorder( newOrder ) {\n\n\t\t// WARNING: this discards revolution information -bhouston\n\n\t\t_quaternion$3.setFromEuler( this );\n\n\t\treturn this.setFromQuaternion( _quaternion$3, newOrder );\n\n\t}\n\n\tequals( euler ) {\n\n\t\treturn ( euler._x === this._x ) && ( euler._y === this._y ) && ( euler._z === this._z ) && ( euler._order === this._order );\n\n\t}\n\n\tfromArray( array ) {\n\n\t\tthis._x = array[ 0 ];\n\t\tthis._y = array[ 1 ];\n\t\tthis._z = array[ 2 ];\n\t\tif ( array[ 3 ] !== undefined ) this._order = array[ 3 ];\n\n\t\tthis._onChangeCallback();\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this._x;\n\t\tarray[ offset + 1 ] = this._y;\n\t\tarray[ offset + 2 ] = this._z;\n\t\tarray[ offset + 3 ] = this._order;\n\n\t\treturn array;\n\n\t}\n\n\t_onChange( callback ) {\n\n\t\tthis._onChangeCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\t_onChangeCallback() {}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this._x;\n\t\tyield this._y;\n\t\tyield this._z;\n\t\tyield this._order;\n\n\t}\n\n}\n\nEuler.DEFAULT_ORDER = 'XYZ';\n\nclass Layers {\n\n\tconstructor() {\n\n\t\tthis.mask = 1 | 0;\n\n\t}\n\n\tset( channel ) {\n\n\t\tthis.mask = ( 1 << channel | 0 ) >>> 0;\n\n\t}\n\n\tenable( channel ) {\n\n\t\tthis.mask |= 1 << channel | 0;\n\n\t}\n\n\tenableAll() {\n\n\t\tthis.mask = 0xffffffff | 0;\n\n\t}\n\n\ttoggle( channel ) {\n\n\t\tthis.mask ^= 1 << channel | 0;\n\n\t}\n\n\tdisable( channel ) {\n\n\t\tthis.mask &= ~ ( 1 << channel | 0 );\n\n\t}\n\n\tdisableAll() {\n\n\t\tthis.mask = 0;\n\n\t}\n\n\ttest( layers ) {\n\n\t\treturn ( this.mask & layers.mask ) !== 0;\n\n\t}\n\n\tisEnabled( channel ) {\n\n\t\treturn ( this.mask & ( 1 << channel | 0 ) ) !== 0;\n\n\t}\n\n}\n\nlet _object3DId = 0;\n\nconst _v1$4 = /*@__PURE__*/ new Vector3();\nconst _q1 = /*@__PURE__*/ new Quaternion();\nconst _m1$1 = /*@__PURE__*/ new Matrix4();\nconst _target = /*@__PURE__*/ new Vector3();\n\nconst _position$3 = /*@__PURE__*/ new Vector3();\nconst _scale$2 = /*@__PURE__*/ new Vector3();\nconst _quaternion$2 = /*@__PURE__*/ new Quaternion();\n\nconst _xAxis = /*@__PURE__*/ new Vector3( 1, 0, 0 );\nconst _yAxis = /*@__PURE__*/ new Vector3( 0, 1, 0 );\nconst _zAxis = /*@__PURE__*/ new Vector3( 0, 0, 1 );\n\nconst _addedEvent = { type: 'added' };\nconst _removedEvent = { type: 'removed' };\n\nclass Object3D extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isObject3D = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _object3DId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'Object3D';\n\n\t\tthis.parent = null;\n\t\tthis.children = [];\n\n\t\tthis.up = Object3D.DEFAULT_UP.clone();\n\n\t\tconst position = new Vector3();\n\t\tconst rotation = new Euler();\n\t\tconst quaternion = new Quaternion();\n\t\tconst scale = new Vector3( 1, 1, 1 );\n\n\t\tfunction onRotationChange() {\n\n\t\t\tquaternion.setFromEuler( rotation, false );\n\n\t\t}\n\n\t\tfunction onQuaternionChange() {\n\n\t\t\trotation.setFromQuaternion( quaternion, undefined, false );\n\n\t\t}\n\n\t\trotation._onChange( onRotationChange );\n\t\tquaternion._onChange( onQuaternionChange );\n\n\t\tObject.defineProperties( this, {\n\t\t\tposition: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: position\n\t\t\t},\n\t\t\trotation: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: rotation\n\t\t\t},\n\t\t\tquaternion: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: quaternion\n\t\t\t},\n\t\t\tscale: {\n\t\t\t\tconfigurable: true,\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: scale\n\t\t\t},\n\t\t\tmodelViewMatrix: {\n\t\t\t\tvalue: new Matrix4()\n\t\t\t},\n\t\t\tnormalMatrix: {\n\t\t\t\tvalue: new Matrix3()\n\t\t\t}\n\t\t} );\n\n\t\tthis.matrix = new Matrix4();\n\t\tthis.matrixWorld = new Matrix4();\n\n\t\tthis.matrixAutoUpdate = Object3D.DEFAULT_MATRIX_AUTO_UPDATE;\n\n\t\tthis.matrixWorldAutoUpdate = Object3D.DEFAULT_MATRIX_WORLD_AUTO_UPDATE; // checked by the renderer\n\t\tthis.matrixWorldNeedsUpdate = false;\n\n\t\tthis.layers = new Layers();\n\t\tthis.visible = true;\n\n\t\tthis.castShadow = false;\n\t\tthis.receiveShadow = false;\n\n\t\tthis.frustumCulled = true;\n\t\tthis.renderOrder = 0;\n\n\t\tthis.animations = [];\n\n\t\tthis.userData = {};\n\n\t}\n\n\tonBeforeShadow( /* renderer, object, camera, shadowCamera, geometry, depthMaterial, group */ ) {}\n\n\tonAfterShadow( /* renderer, object, camera, shadowCamera, geometry, depthMaterial, group */ ) {}\n\n\tonBeforeRender( /* renderer, scene, camera, geometry, material, group */ ) {}\n\n\tonAfterRender( /* renderer, scene, camera, geometry, material, group */ ) {}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tthis.matrix.premultiply( matrix );\n\n\t\tthis.matrix.decompose( this.position, this.quaternion, this.scale );\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\tthis.quaternion.premultiply( q );\n\n\t\treturn this;\n\n\t}\n\n\tsetRotationFromAxisAngle( axis, angle ) {\n\n\t\t// assumes axis is normalized\n\n\t\tthis.quaternion.setFromAxisAngle( axis, angle );\n\n\t}\n\n\tsetRotationFromEuler( euler ) {\n\n\t\tthis.quaternion.setFromEuler( euler, true );\n\n\t}\n\n\tsetRotationFromMatrix( m ) {\n\n\t\t// assumes the upper 3x3 of m is a pure rotation matrix (i.e, unscaled)\n\n\t\tthis.quaternion.setFromRotationMatrix( m );\n\n\t}\n\n\tsetRotationFromQuaternion( q ) {\n\n\t\t// assumes q is normalized\n\n\t\tthis.quaternion.copy( q );\n\n\t}\n\n\trotateOnAxis( axis, angle ) {\n\n\t\t// rotate object on axis in object space\n\t\t// axis is assumed to be normalized\n\n\t\t_q1.setFromAxisAngle( axis, angle );\n\n\t\tthis.quaternion.multiply( _q1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateOnWorldAxis( axis, angle ) {\n\n\t\t// rotate object on axis in world space\n\t\t// axis is assumed to be normalized\n\t\t// method assumes no rotated parent\n\n\t\t_q1.setFromAxisAngle( axis, angle );\n\n\t\tthis.quaternion.premultiply( _q1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateX( angle ) {\n\n\t\treturn this.rotateOnAxis( _xAxis, angle );\n\n\t}\n\n\trotateY( angle ) {\n\n\t\treturn this.rotateOnAxis( _yAxis, angle );\n\n\t}\n\n\trotateZ( angle ) {\n\n\t\treturn this.rotateOnAxis( _zAxis, angle );\n\n\t}\n\n\ttranslateOnAxis( axis, distance ) {\n\n\t\t// translate object by distance along axis in object space\n\t\t// axis is assumed to be normalized\n\n\t\t_v1$4.copy( axis ).applyQuaternion( this.quaternion );\n\n\t\tthis.position.add( _v1$4.multiplyScalar( distance ) );\n\n\t\treturn this;\n\n\t}\n\n\ttranslateX( distance ) {\n\n\t\treturn this.translateOnAxis( _xAxis, distance );\n\n\t}\n\n\ttranslateY( distance ) {\n\n\t\treturn this.translateOnAxis( _yAxis, distance );\n\n\t}\n\n\ttranslateZ( distance ) {\n\n\t\treturn this.translateOnAxis( _zAxis, distance );\n\n\t}\n\n\tlocalToWorld( vector ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn vector.applyMatrix4( this.matrixWorld );\n\n\t}\n\n\tworldToLocal( vector ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn vector.applyMatrix4( _m1$1.copy( this.matrixWorld ).invert() );\n\n\t}\n\n\tlookAt( x, y, z ) {\n\n\t\t// This method does not support objects having non-uniformly-scaled parent(s)\n\n\t\tif ( x.isVector3 ) {\n\n\t\t\t_target.copy( x );\n\n\t\t} else {\n\n\t\t\t_target.set( x, y, z );\n\n\t\t}\n\n\t\tconst parent = this.parent;\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\t_position$3.setFromMatrixPosition( this.matrixWorld );\n\n\t\tif ( this.isCamera || this.isLight ) {\n\n\t\t\t_m1$1.lookAt( _position$3, _target, this.up );\n\n\t\t} else {\n\n\t\t\t_m1$1.lookAt( _target, _position$3, this.up );\n\n\t\t}\n\n\t\tthis.quaternion.setFromRotationMatrix( _m1$1 );\n\n\t\tif ( parent ) {\n\n\t\t\t_m1$1.extractRotation( parent.matrixWorld );\n\t\t\t_q1.setFromRotationMatrix( _m1$1 );\n\t\t\tthis.quaternion.premultiply( _q1.invert() );\n\n\t\t}\n\n\t}\n\n\tadd( object ) {\n\n\t\tif ( arguments.length > 1 ) {\n\n\t\t\tfor ( let i = 0; i < arguments.length; i ++ ) {\n\n\t\t\t\tthis.add( arguments[ i ] );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( object === this ) {\n\n\t\t\tconsole.error( 'THREE.Object3D.add: object can\\'t be added as a child of itself.', object );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tif ( object && object.isObject3D ) {\n\n\t\t\tif ( object.parent !== null ) {\n\n\t\t\t\tobject.parent.remove( object );\n\n\t\t\t}\n\n\t\t\tobject.parent = this;\n\t\t\tthis.children.push( object );\n\n\t\t\tobject.dispatchEvent( _addedEvent );\n\n\t\t} else {\n\n\t\t\tconsole.error( 'THREE.Object3D.add: object not an instance of THREE.Object3D.', object );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremove( object ) {\n\n\t\tif ( arguments.length > 1 ) {\n\n\t\t\tfor ( let i = 0; i < arguments.length; i ++ ) {\n\n\t\t\t\tthis.remove( arguments[ i ] );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst index = this.children.indexOf( object );\n\n\t\tif ( index !== - 1 ) {\n\n\t\t\tobject.parent = null;\n\t\t\tthis.children.splice( index, 1 );\n\n\t\t\tobject.dispatchEvent( _removedEvent );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremoveFromParent() {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( parent !== null ) {\n\n\t\t\tparent.remove( this );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclear() {\n\n\t\treturn this.remove( ... this.children );\n\n\t}\n\n\tattach( object ) {\n\n\t\t// adds object as a child of this, while maintaining the object's world transform\n\n\t\t// Note: This method does not support scene graphs having non-uniformly-scaled nodes(s)\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\t_m1$1.copy( this.matrixWorld ).invert();\n\n\t\tif ( object.parent !== null ) {\n\n\t\t\tobject.parent.updateWorldMatrix( true, false );\n\n\t\t\t_m1$1.multiply( object.parent.matrixWorld );\n\n\t\t}\n\n\t\tobject.applyMatrix4( _m1$1 );\n\n\t\tthis.add( object );\n\n\t\tobject.updateWorldMatrix( false, true );\n\n\t\treturn this;\n\n\t}\n\n\tgetObjectById( id ) {\n\n\t\treturn this.getObjectByProperty( 'id', id );\n\n\t}\n\n\tgetObjectByName( name ) {\n\n\t\treturn this.getObjectByProperty( 'name', name );\n\n\t}\n\n\tgetObjectByProperty( name, value ) {\n\n\t\tif ( this[ name ] === value ) return this;\n\n\t\tfor ( let i = 0, l = this.children.length; i < l; i ++ ) {\n\n\t\t\tconst child = this.children[ i ];\n\t\t\tconst object = child.getObjectByProperty( name, value );\n\n\t\t\tif ( object !== undefined ) {\n\n\t\t\t\treturn object;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn undefined;\n\n\t}\n\n\tgetObjectsByProperty( name, value, result = [] ) {\n\n\t\tif ( this[ name ] === value ) result.push( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].getObjectsByProperty( name, value, result );\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\tgetWorldPosition( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\treturn target.setFromMatrixPosition( this.matrixWorld );\n\n\t}\n\n\tgetWorldQuaternion( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tthis.matrixWorld.decompose( _position$3, target, _scale$2 );\n\n\t\treturn target;\n\n\t}\n\n\tgetWorldScale( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tthis.matrixWorld.decompose( _position$3, _quaternion$2, target );\n\n\t\treturn target;\n\n\t}\n\n\tgetWorldDirection( target ) {\n\n\t\tthis.updateWorldMatrix( true, false );\n\n\t\tconst e = this.matrixWorld.elements;\n\n\t\treturn target.set( e[ 8 ], e[ 9 ], e[ 10 ] ).normalize();\n\n\t}\n\n\traycast( /* raycaster, intersects */ ) {}\n\n\ttraverse( callback ) {\n\n\t\tcallback( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].traverse( callback );\n\n\t\t}\n\n\t}\n\n\ttraverseVisible( callback ) {\n\n\t\tif ( this.visible === false ) return;\n\n\t\tcallback( this );\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tchildren[ i ].traverseVisible( callback );\n\n\t\t}\n\n\t}\n\n\ttraverseAncestors( callback ) {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( parent !== null ) {\n\n\t\t\tcallback( parent );\n\n\t\t\tparent.traverseAncestors( callback );\n\n\t\t}\n\n\t}\n\n\tupdateMatrix() {\n\n\t\tthis.matrix.compose( this.position, this.quaternion, this.scale );\n\n\t\tthis.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tif ( this.matrixWorldNeedsUpdate || force ) {\n\n\t\t\tif ( this.parent === null ) {\n\n\t\t\t\tthis.matrixWorld.copy( this.matrix );\n\n\t\t\t} else {\n\n\t\t\t\tthis.matrixWorld.multiplyMatrices( this.parent.matrixWorld, this.matrix );\n\n\t\t\t}\n\n\t\t\tthis.matrixWorldNeedsUpdate = false;\n\n\t\t\tforce = true;\n\n\t\t}\n\n\t\t// update children\n\n\t\tconst children = this.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tconst child = children[ i ];\n\n\t\t\tif ( child.matrixWorldAutoUpdate === true || force === true ) {\n\n\t\t\t\tchild.updateMatrixWorld( force );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateWorldMatrix( updateParents, updateChildren ) {\n\n\t\tconst parent = this.parent;\n\n\t\tif ( updateParents === true && parent !== null && parent.matrixWorldAutoUpdate === true ) {\n\n\t\t\tparent.updateWorldMatrix( true, false );\n\n\t\t}\n\n\t\tif ( this.matrixAutoUpdate ) this.updateMatrix();\n\n\t\tif ( this.parent === null ) {\n\n\t\t\tthis.matrixWorld.copy( this.matrix );\n\n\t\t} else {\n\n\t\t\tthis.matrixWorld.multiplyMatrices( this.parent.matrixWorld, this.matrix );\n\n\t\t}\n\n\t\t// update children\n\n\t\tif ( updateChildren === true ) {\n\n\t\t\tconst children = this.children;\n\n\t\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\t\tconst child = children[ i ];\n\n\t\t\t\tif ( child.matrixWorldAutoUpdate === true ) {\n\n\t\t\t\t\tchild.updateWorldMatrix( false, true );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\t// meta is a string when called from JSON.stringify\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tconst output = {};\n\n\t\t// meta is a hash used to collect geometries, materials.\n\t\t// not providing it implies that this is the root object\n\t\t// being serialized.\n\t\tif ( isRootObject ) {\n\n\t\t\t// initialize meta obj\n\t\t\tmeta = {\n\t\t\t\tgeometries: {},\n\t\t\t\tmaterials: {},\n\t\t\t\ttextures: {},\n\t\t\t\timages: {},\n\t\t\t\tshapes: {},\n\t\t\t\tskeletons: {},\n\t\t\t\tanimations: {},\n\t\t\t\tnodes: {}\n\t\t\t};\n\n\t\t\toutput.metadata = {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Object',\n\t\t\t\tgenerator: 'Object3D.toJSON'\n\t\t\t};\n\n\t\t}\n\n\t\t// standard Object3D serialization\n\n\t\tconst object = {};\n\n\t\tobject.uuid = this.uuid;\n\t\tobject.type = this.type;\n\n\t\tif ( this.name !== '' ) object.name = this.name;\n\t\tif ( this.castShadow === true ) object.castShadow = true;\n\t\tif ( this.receiveShadow === true ) object.receiveShadow = true;\n\t\tif ( this.visible === false ) object.visible = false;\n\t\tif ( this.frustumCulled === false ) object.frustumCulled = false;\n\t\tif ( this.renderOrder !== 0 ) object.renderOrder = this.renderOrder;\n\t\tif ( Object.keys( this.userData ).length > 0 ) object.userData = this.userData;\n\n\t\tobject.layers = this.layers.mask;\n\t\tobject.matrix = this.matrix.toArray();\n\t\tobject.up = this.up.toArray();\n\n\t\tif ( this.matrixAutoUpdate === false ) object.matrixAutoUpdate = false;\n\n\t\t// object specific properties\n\n\t\tif ( this.isInstancedMesh ) {\n\n\t\t\tobject.type = 'InstancedMesh';\n\t\t\tobject.count = this.count;\n\t\t\tobject.instanceMatrix = this.instanceMatrix.toJSON();\n\t\t\tif ( this.instanceColor !== null ) object.instanceColor = this.instanceColor.toJSON();\n\n\t\t}\n\n\t\tif ( this.isBatchedMesh ) {\n\n\t\t\tobject.type = 'BatchedMesh';\n\t\t\tobject.perObjectFrustumCulled = this.perObjectFrustumCulled;\n\t\t\tobject.sortObjects = this.sortObjects;\n\n\t\t\tobject.drawRanges = this._drawRanges;\n\t\t\tobject.reservedRanges = this._reservedRanges;\n\n\t\t\tobject.visibility = this._visibility;\n\t\t\tobject.active = this._active;\n\t\t\tobject.bounds = this._bounds.map( bound => ( {\n\t\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\t\tboxMin: bound.box.min.toArray(),\n\t\t\t\tboxMax: bound.box.max.toArray(),\n\n\t\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\t\tsphereRadius: bound.sphere.radius,\n\t\t\t\tsphereCenter: bound.sphere.center.toArray()\n\t\t\t} ) );\n\n\t\t\tobject.maxGeometryCount = this._maxGeometryCount;\n\t\t\tobject.maxVertexCount = this._maxVertexCount;\n\t\t\tobject.maxIndexCount = this._maxIndexCount;\n\n\t\t\tobject.geometryInitialized = this._geometryInitialized;\n\t\t\tobject.geometryCount = this._geometryCount;\n\n\t\t\tobject.matricesTexture = this._matricesTexture.toJSON( meta );\n\n\t\t\tif ( this.boundingSphere !== null ) {\n\n\t\t\t\tobject.boundingSphere = {\n\t\t\t\t\tcenter: object.boundingSphere.center.toArray(),\n\t\t\t\t\tradius: object.boundingSphere.radius\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t\tif ( this.boundingBox !== null ) {\n\n\t\t\t\tobject.boundingBox = {\n\t\t\t\t\tmin: object.boundingBox.min.toArray(),\n\t\t\t\t\tmax: object.boundingBox.max.toArray()\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tfunction serialize( library, element ) {\n\n\t\t\tif ( library[ element.uuid ] === undefined ) {\n\n\t\t\t\tlibrary[ element.uuid ] = element.toJSON( meta );\n\n\t\t\t}\n\n\t\t\treturn element.uuid;\n\n\t\t}\n\n\t\tif ( this.isScene ) {\n\n\t\t\tif ( this.background ) {\n\n\t\t\t\tif ( this.background.isColor ) {\n\n\t\t\t\t\tobject.background = this.background.toJSON();\n\n\t\t\t\t} else if ( this.background.isTexture ) {\n\n\t\t\t\t\tobject.background = this.background.toJSON( meta ).uuid;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( this.environment && this.environment.isTexture && this.environment.isRenderTargetTexture !== true ) {\n\n\t\t\t\tobject.environment = this.environment.toJSON( meta ).uuid;\n\n\t\t\t}\n\n\t\t} else if ( this.isMesh || this.isLine || this.isPoints ) {\n\n\t\t\tobject.geometry = serialize( meta.geometries, this.geometry );\n\n\t\t\tconst parameters = this.geometry.parameters;\n\n\t\t\tif ( parameters !== undefined && parameters.shapes !== undefined ) {\n\n\t\t\t\tconst shapes = parameters.shapes;\n\n\t\t\t\tif ( Array.isArray( shapes ) ) {\n\n\t\t\t\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\t\t\t\tconst shape = shapes[ i ];\n\n\t\t\t\t\t\tserialize( meta.shapes, shape );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tserialize( meta.shapes, shapes );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.isSkinnedMesh ) {\n\n\t\t\tobject.bindMode = this.bindMode;\n\t\t\tobject.bindMatrix = this.bindMatrix.toArray();\n\n\t\t\tif ( this.skeleton !== undefined ) {\n\n\t\t\t\tserialize( meta.skeletons, this.skeleton );\n\n\t\t\t\tobject.skeleton = this.skeleton.uuid;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.material !== undefined ) {\n\n\t\t\tif ( Array.isArray( this.material ) ) {\n\n\t\t\t\tconst uuids = [];\n\n\t\t\t\tfor ( let i = 0, l = this.material.length; i < l; i ++ ) {\n\n\t\t\t\t\tuuids.push( serialize( meta.materials, this.material[ i ] ) );\n\n\t\t\t\t}\n\n\t\t\t\tobject.material = uuids;\n\n\t\t\t} else {\n\n\t\t\t\tobject.material = serialize( meta.materials, this.material );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.children.length > 0 ) {\n\n\t\t\tobject.children = [];\n\n\t\t\tfor ( let i = 0; i < this.children.length; i ++ ) {\n\n\t\t\t\tobject.children.push( this.children[ i ].toJSON( meta ).object );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.animations.length > 0 ) {\n\n\t\t\tobject.animations = [];\n\n\t\t\tfor ( let i = 0; i < this.animations.length; i ++ ) {\n\n\t\t\t\tconst animation = this.animations[ i ];\n\n\t\t\t\tobject.animations.push( serialize( meta.animations, animation ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( isRootObject ) {\n\n\t\t\tconst geometries = extractFromCache( meta.geometries );\n\t\t\tconst materials = extractFromCache( meta.materials );\n\t\t\tconst textures = extractFromCache( meta.textures );\n\t\t\tconst images = extractFromCache( meta.images );\n\t\t\tconst shapes = extractFromCache( meta.shapes );\n\t\t\tconst skeletons = extractFromCache( meta.skeletons );\n\t\t\tconst animations = extractFromCache( meta.animations );\n\t\t\tconst nodes = extractFromCache( meta.nodes );\n\n\t\t\tif ( geometries.length > 0 ) output.geometries = geometries;\n\t\t\tif ( materials.length > 0 ) output.materials = materials;\n\t\t\tif ( textures.length > 0 ) output.textures = textures;\n\t\t\tif ( images.length > 0 ) output.images = images;\n\t\t\tif ( shapes.length > 0 ) output.shapes = shapes;\n\t\t\tif ( skeletons.length > 0 ) output.skeletons = skeletons;\n\t\t\tif ( animations.length > 0 ) output.animations = animations;\n\t\t\tif ( nodes.length > 0 ) output.nodes = nodes;\n\n\t\t}\n\n\t\toutput.object = object;\n\n\t\treturn output;\n\n\t\t// extract data from the cache hash\n\t\t// remove metadata on each item\n\t\t// and return as array\n\t\tfunction extractFromCache( cache ) {\n\n\t\t\tconst values = [];\n\t\t\tfor ( const key in cache ) {\n\n\t\t\t\tconst data = cache[ key ];\n\t\t\t\tdelete data.metadata;\n\t\t\t\tvalues.push( data );\n\n\t\t\t}\n\n\t\t\treturn values;\n\n\t\t}\n\n\t}\n\n\tclone( recursive ) {\n\n\t\treturn new this.constructor().copy( this, recursive );\n\n\t}\n\n\tcopy( source, recursive = true ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.up.copy( source.up );\n\n\t\tthis.position.copy( source.position );\n\t\tthis.rotation.order = source.rotation.order;\n\t\tthis.quaternion.copy( source.quaternion );\n\t\tthis.scale.copy( source.scale );\n\n\t\tthis.matrix.copy( source.matrix );\n\t\tthis.matrixWorld.copy( source.matrixWorld );\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\n\t\tthis.matrixWorldAutoUpdate = source.matrixWorldAutoUpdate;\n\t\tthis.matrixWorldNeedsUpdate = source.matrixWorldNeedsUpdate;\n\n\t\tthis.layers.mask = source.layers.mask;\n\t\tthis.visible = source.visible;\n\n\t\tthis.castShadow = source.castShadow;\n\t\tthis.receiveShadow = source.receiveShadow;\n\n\t\tthis.frustumCulled = source.frustumCulled;\n\t\tthis.renderOrder = source.renderOrder;\n\n\t\tthis.animations = source.animations.slice();\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\tif ( recursive === true ) {\n\n\t\t\tfor ( let i = 0; i < source.children.length; i ++ ) {\n\n\t\t\t\tconst child = source.children[ i ];\n\t\t\t\tthis.add( child.clone() );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nObject3D.DEFAULT_UP = /*@__PURE__*/ new Vector3( 0, 1, 0 );\nObject3D.DEFAULT_MATRIX_AUTO_UPDATE = true;\nObject3D.DEFAULT_MATRIX_WORLD_AUTO_UPDATE = true;\n\nconst _v0$1 = /*@__PURE__*/ new Vector3();\nconst _v1$3 = /*@__PURE__*/ new Vector3();\nconst _v2$2 = /*@__PURE__*/ new Vector3();\nconst _v3$1 = /*@__PURE__*/ new Vector3();\n\nconst _vab = /*@__PURE__*/ new Vector3();\nconst _vac = /*@__PURE__*/ new Vector3();\nconst _vbc = /*@__PURE__*/ new Vector3();\nconst _vap = /*@__PURE__*/ new Vector3();\nconst _vbp = /*@__PURE__*/ new Vector3();\nconst _vcp = /*@__PURE__*/ new Vector3();\n\nlet warnedGetUV = false;\n\nclass Triangle {\n\n\tconstructor( a = new Vector3(), b = new Vector3(), c = new Vector3() ) {\n\n\t\tthis.a = a;\n\t\tthis.b = b;\n\t\tthis.c = c;\n\n\t}\n\n\tstatic getNormal( a, b, c, target ) {\n\n\t\ttarget.subVectors( c, b );\n\t\t_v0$1.subVectors( a, b );\n\t\ttarget.cross( _v0$1 );\n\n\t\tconst targetLengthSq = target.lengthSq();\n\t\tif ( targetLengthSq > 0 ) {\n\n\t\t\treturn target.multiplyScalar( 1 / Math.sqrt( targetLengthSq ) );\n\n\t\t}\n\n\t\treturn target.set( 0, 0, 0 );\n\n\t}\n\n\t// static/instance method to calculate barycentric coordinates\n\t// based on: http://www.blackpawn.com/texts/pointinpoly/default.html\n\tstatic getBarycoord( point, a, b, c, target ) {\n\n\t\t_v0$1.subVectors( c, a );\n\t\t_v1$3.subVectors( b, a );\n\t\t_v2$2.subVectors( point, a );\n\n\t\tconst dot00 = _v0$1.dot( _v0$1 );\n\t\tconst dot01 = _v0$1.dot( _v1$3 );\n\t\tconst dot02 = _v0$1.dot( _v2$2 );\n\t\tconst dot11 = _v1$3.dot( _v1$3 );\n\t\tconst dot12 = _v1$3.dot( _v2$2 );\n\n\t\tconst denom = ( dot00 * dot11 - dot01 * dot01 );\n\n\t\t// collinear or singular triangle\n\t\tif ( denom === 0 ) {\n\n\t\t\ttarget.set( 0, 0, 0 );\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst invDenom = 1 / denom;\n\t\tconst u = ( dot11 * dot02 - dot01 * dot12 ) * invDenom;\n\t\tconst v = ( dot00 * dot12 - dot01 * dot02 ) * invDenom;\n\n\t\t// barycentric coordinates must always sum to 1\n\t\treturn target.set( 1 - u - v, v, u );\n\n\t}\n\n\tstatic containsPoint( point, a, b, c ) {\n\n\t\t// if the triangle is degenerate then we can't contain a point\n\t\tif ( this.getBarycoord( point, a, b, c, _v3$1 ) === null ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn ( _v3$1.x >= 0 ) && ( _v3$1.y >= 0 ) && ( ( _v3$1.x + _v3$1.y ) <= 1 );\n\n\t}\n\n\tstatic getUV( point, p1, p2, p3, uv1, uv2, uv3, target ) { // @deprecated, r151\n\n\t\tif ( warnedGetUV === false ) {\n\n\t\t\tconsole.warn( 'THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation().' );\n\n\t\t\twarnedGetUV = true;\n\n\t\t}\n\n\t\treturn this.getInterpolation( point, p1, p2, p3, uv1, uv2, uv3, target );\n\n\t}\n\n\tstatic getInterpolation( point, p1, p2, p3, v1, v2, v3, target ) {\n\n\t\tif ( this.getBarycoord( point, p1, p2, p3, _v3$1 ) === null ) {\n\n\t\t\ttarget.x = 0;\n\t\t\ttarget.y = 0;\n\t\t\tif ( 'z' in target ) target.z = 0;\n\t\t\tif ( 'w' in target ) target.w = 0;\n\t\t\treturn null;\n\n\t\t}\n\n\t\ttarget.setScalar( 0 );\n\t\ttarget.addScaledVector( v1, _v3$1.x );\n\t\ttarget.addScaledVector( v2, _v3$1.y );\n\t\ttarget.addScaledVector( v3, _v3$1.z );\n\n\t\treturn target;\n\n\t}\n\n\tstatic isFrontFacing( a, b, c, direction ) {\n\n\t\t_v0$1.subVectors( c, b );\n\t\t_v1$3.subVectors( a, b );\n\n\t\t// strictly front facing\n\t\treturn ( _v0$1.cross( _v1$3 ).dot( direction ) < 0 ) ? true : false;\n\n\t}\n\n\tset( a, b, c ) {\n\n\t\tthis.a.copy( a );\n\t\tthis.b.copy( b );\n\t\tthis.c.copy( c );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPointsAndIndices( points, i0, i1, i2 ) {\n\n\t\tthis.a.copy( points[ i0 ] );\n\t\tthis.b.copy( points[ i1 ] );\n\t\tthis.c.copy( points[ i2 ] );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromAttributeAndIndices( attribute, i0, i1, i2 ) {\n\n\t\tthis.a.fromBufferAttribute( attribute, i0 );\n\t\tthis.b.fromBufferAttribute( attribute, i1 );\n\t\tthis.c.fromBufferAttribute( attribute, i2 );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( triangle ) {\n\n\t\tthis.a.copy( triangle.a );\n\t\tthis.b.copy( triangle.b );\n\t\tthis.c.copy( triangle.c );\n\n\t\treturn this;\n\n\t}\n\n\tgetArea() {\n\n\t\t_v0$1.subVectors( this.c, this.b );\n\t\t_v1$3.subVectors( this.a, this.b );\n\n\t\treturn _v0$1.cross( _v1$3 ).length() * 0.5;\n\n\t}\n\n\tgetMidpoint( target ) {\n\n\t\treturn target.addVectors( this.a, this.b ).add( this.c ).multiplyScalar( 1 / 3 );\n\n\t}\n\n\tgetNormal( target ) {\n\n\t\treturn Triangle.getNormal( this.a, this.b, this.c, target );\n\n\t}\n\n\tgetPlane( target ) {\n\n\t\treturn target.setFromCoplanarPoints( this.a, this.b, this.c );\n\n\t}\n\n\tgetBarycoord( point, target ) {\n\n\t\treturn Triangle.getBarycoord( point, this.a, this.b, this.c, target );\n\n\t}\n\n\tgetUV( point, uv1, uv2, uv3, target ) { // @deprecated, r151\n\n\t\tif ( warnedGetUV === false ) {\n\n\t\t\tconsole.warn( 'THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation().' );\n\n\t\t\twarnedGetUV = true;\n\n\t\t}\n\n\t\treturn Triangle.getInterpolation( point, this.a, this.b, this.c, uv1, uv2, uv3, target );\n\n\t}\n\n\tgetInterpolation( point, v1, v2, v3, target ) {\n\n\t\treturn Triangle.getInterpolation( point, this.a, this.b, this.c, v1, v2, v3, target );\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn Triangle.containsPoint( point, this.a, this.b, this.c );\n\n\t}\n\n\tisFrontFacing( direction ) {\n\n\t\treturn Triangle.isFrontFacing( this.a, this.b, this.c, direction );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsTriangle( this );\n\n\t}\n\n\tclosestPointToPoint( p, target ) {\n\n\t\tconst a = this.a, b = this.b, c = this.c;\n\t\tlet v, w;\n\n\t\t// algorithm thanks to Real-Time Collision Detection by Christer Ericson,\n\t\t// published by Morgan Kaufmann Publishers, (c) 2005 Elsevier Inc.,\n\t\t// under the accompanying license; see chapter 5.1.5 for detailed explanation.\n\t\t// basically, we're distinguishing which of the voronoi regions of the triangle\n\t\t// the point lies in with the minimum amount of redundant computation.\n\n\t\t_vab.subVectors( b, a );\n\t\t_vac.subVectors( c, a );\n\t\t_vap.subVectors( p, a );\n\t\tconst d1 = _vab.dot( _vap );\n\t\tconst d2 = _vac.dot( _vap );\n\t\tif ( d1 <= 0 && d2 <= 0 ) {\n\n\t\t\t// vertex region of A; barycentric coords (1, 0, 0)\n\t\t\treturn target.copy( a );\n\n\t\t}\n\n\t\t_vbp.subVectors( p, b );\n\t\tconst d3 = _vab.dot( _vbp );\n\t\tconst d4 = _vac.dot( _vbp );\n\t\tif ( d3 >= 0 && d4 <= d3 ) {\n\n\t\t\t// vertex region of B; barycentric coords (0, 1, 0)\n\t\t\treturn target.copy( b );\n\n\t\t}\n\n\t\tconst vc = d1 * d4 - d3 * d2;\n\t\tif ( vc <= 0 && d1 >= 0 && d3 <= 0 ) {\n\n\t\t\tv = d1 / ( d1 - d3 );\n\t\t\t// edge region of AB; barycentric coords (1-v, v, 0)\n\t\t\treturn target.copy( a ).addScaledVector( _vab, v );\n\n\t\t}\n\n\t\t_vcp.subVectors( p, c );\n\t\tconst d5 = _vab.dot( _vcp );\n\t\tconst d6 = _vac.dot( _vcp );\n\t\tif ( d6 >= 0 && d5 <= d6 ) {\n\n\t\t\t// vertex region of C; barycentric coords (0, 0, 1)\n\t\t\treturn target.copy( c );\n\n\t\t}\n\n\t\tconst vb = d5 * d2 - d1 * d6;\n\t\tif ( vb <= 0 && d2 >= 0 && d6 <= 0 ) {\n\n\t\t\tw = d2 / ( d2 - d6 );\n\t\t\t// edge region of AC; barycentric coords (1-w, 0, w)\n\t\t\treturn target.copy( a ).addScaledVector( _vac, w );\n\n\t\t}\n\n\t\tconst va = d3 * d6 - d5 * d4;\n\t\tif ( va <= 0 && ( d4 - d3 ) >= 0 && ( d5 - d6 ) >= 0 ) {\n\n\t\t\t_vbc.subVectors( c, b );\n\t\t\tw = ( d4 - d3 ) / ( ( d4 - d3 ) + ( d5 - d6 ) );\n\t\t\t// edge region of BC; barycentric coords (0, 1-w, w)\n\t\t\treturn target.copy( b ).addScaledVector( _vbc, w ); // edge region of BC\n\n\t\t}\n\n\t\t// face region\n\t\tconst denom = 1 / ( va + vb + vc );\n\t\t// u = va * denom\n\t\tv = vb * denom;\n\t\tw = vc * denom;\n\n\t\treturn target.copy( a ).addScaledVector( _vab, v ).addScaledVector( _vac, w );\n\n\t}\n\n\tequals( triangle ) {\n\n\t\treturn triangle.a.equals( this.a ) && triangle.b.equals( this.b ) && triangle.c.equals( this.c );\n\n\t}\n\n}\n\nconst _colorKeywords = { 'aliceblue': 0xF0F8FF, 'antiquewhite': 0xFAEBD7, 'aqua': 0x00FFFF, 'aquamarine': 0x7FFFD4, 'azure': 0xF0FFFF,\n\t'beige': 0xF5F5DC, 'bisque': 0xFFE4C4, 'black': 0x000000, 'blanchedalmond': 0xFFEBCD, 'blue': 0x0000FF, 'blueviolet': 0x8A2BE2,\n\t'brown': 0xA52A2A, 'burlywood': 0xDEB887, 'cadetblue': 0x5F9EA0, 'chartreuse': 0x7FFF00, 'chocolate': 0xD2691E, 'coral': 0xFF7F50,\n\t'cornflowerblue': 0x6495ED, 'cornsilk': 0xFFF8DC, 'crimson': 0xDC143C, 'cyan': 0x00FFFF, 'darkblue': 0x00008B, 'darkcyan': 0x008B8B,\n\t'darkgoldenrod': 0xB8860B, 'darkgray': 0xA9A9A9, 'darkgreen': 0x006400, 'darkgrey': 0xA9A9A9, 'darkkhaki': 0xBDB76B, 'darkmagenta': 0x8B008B,\n\t'darkolivegreen': 0x556B2F, 'darkorange': 0xFF8C00, 'darkorchid': 0x9932CC, 'darkred': 0x8B0000, 'darksalmon': 0xE9967A, 'darkseagreen': 0x8FBC8F,\n\t'darkslateblue': 0x483D8B, 'darkslategray': 0x2F4F4F, 'darkslategrey': 0x2F4F4F, 'darkturquoise': 0x00CED1, 'darkviolet': 0x9400D3,\n\t'deeppink': 0xFF1493, 'deepskyblue': 0x00BFFF, 'dimgray': 0x696969, 'dimgrey': 0x696969, 'dodgerblue': 0x1E90FF, 'firebrick': 0xB22222,\n\t'floralwhite': 0xFFFAF0, 'forestgreen': 0x228B22, 'fuchsia': 0xFF00FF, 'gainsboro': 0xDCDCDC, 'ghostwhite': 0xF8F8FF, 'gold': 0xFFD700,\n\t'goldenrod': 0xDAA520, 'gray': 0x808080, 'green': 0x008000, 'greenyellow': 0xADFF2F, 'grey': 0x808080, 'honeydew': 0xF0FFF0, 'hotpink': 0xFF69B4,\n\t'indianred': 0xCD5C5C, 'indigo': 0x4B0082, 'ivory': 0xFFFFF0, 'khaki': 0xF0E68C, 'lavender': 0xE6E6FA, 'lavenderblush': 0xFFF0F5, 'lawngreen': 0x7CFC00,\n\t'lemonchiffon': 0xFFFACD, 'lightblue': 0xADD8E6, 'lightcoral': 0xF08080, 'lightcyan': 0xE0FFFF, 'lightgoldenrodyellow': 0xFAFAD2, 'lightgray': 0xD3D3D3,\n\t'lightgreen': 0x90EE90, 'lightgrey': 0xD3D3D3, 'lightpink': 0xFFB6C1, 'lightsalmon': 0xFFA07A, 'lightseagreen': 0x20B2AA, 'lightskyblue': 0x87CEFA,\n\t'lightslategray': 0x778899, 'lightslategrey': 0x778899, 'lightsteelblue': 0xB0C4DE, 'lightyellow': 0xFFFFE0, 'lime': 0x00FF00, 'limegreen': 0x32CD32,\n\t'linen': 0xFAF0E6, 'magenta': 0xFF00FF, 'maroon': 0x800000, 'mediumaquamarine': 0x66CDAA, 'mediumblue': 0x0000CD, 'mediumorchid': 0xBA55D3,\n\t'mediumpurple': 0x9370DB, 'mediumseagreen': 0x3CB371, 'mediumslateblue': 0x7B68EE, 'mediumspringgreen': 0x00FA9A, 'mediumturquoise': 0x48D1CC,\n\t'mediumvioletred': 0xC71585, 'midnightblue': 0x191970, 'mintcream': 0xF5FFFA, 'mistyrose': 0xFFE4E1, 'moccasin': 0xFFE4B5, 'navajowhite': 0xFFDEAD,\n\t'navy': 0x000080, 'oldlace': 0xFDF5E6, 'olive': 0x808000, 'olivedrab': 0x6B8E23, 'orange': 0xFFA500, 'orangered': 0xFF4500, 'orchid': 0xDA70D6,\n\t'palegoldenrod': 0xEEE8AA, 'palegreen': 0x98FB98, 'paleturquoise': 0xAFEEEE, 'palevioletred': 0xDB7093, 'papayawhip': 0xFFEFD5, 'peachpuff': 0xFFDAB9,\n\t'peru': 0xCD853F, 'pink': 0xFFC0CB, 'plum': 0xDDA0DD, 'powderblue': 0xB0E0E6, 'purple': 0x800080, 'rebeccapurple': 0x663399, 'red': 0xFF0000, 'rosybrown': 0xBC8F8F,\n\t'royalblue': 0x4169E1, 'saddlebrown': 0x8B4513, 'salmon': 0xFA8072, 'sandybrown': 0xF4A460, 'seagreen': 0x2E8B57, 'seashell': 0xFFF5EE,\n\t'sienna': 0xA0522D, 'silver': 0xC0C0C0, 'skyblue': 0x87CEEB, 'slateblue': 0x6A5ACD, 'slategray': 0x708090, 'slategrey': 0x708090, 'snow': 0xFFFAFA,\n\t'springgreen': 0x00FF7F, 'steelblue': 0x4682B4, 'tan': 0xD2B48C, 'teal': 0x008080, 'thistle': 0xD8BFD8, 'tomato': 0xFF6347, 'turquoise': 0x40E0D0,\n\t'violet': 0xEE82EE, 'wheat': 0xF5DEB3, 'white': 0xFFFFFF, 'whitesmoke': 0xF5F5F5, 'yellow': 0xFFFF00, 'yellowgreen': 0x9ACD32 };\n\nconst _hslA = { h: 0, s: 0, l: 0 };\nconst _hslB = { h: 0, s: 0, l: 0 };\n\nfunction hue2rgb( p, q, t ) {\n\n\tif ( t < 0 ) t += 1;\n\tif ( t > 1 ) t -= 1;\n\tif ( t < 1 / 6 ) return p + ( q - p ) * 6 * t;\n\tif ( t < 1 / 2 ) return q;\n\tif ( t < 2 / 3 ) return p + ( q - p ) * 6 * ( 2 / 3 - t );\n\treturn p;\n\n}\n\nclass Color {\n\n\tconstructor( r, g, b ) {\n\n\t\tthis.isColor = true;\n\n\t\tthis.r = 1;\n\t\tthis.g = 1;\n\t\tthis.b = 1;\n\n\t\treturn this.set( r, g, b );\n\n\t}\n\n\tset( r, g, b ) {\n\n\t\tif ( g === undefined && b === undefined ) {\n\n\t\t\t// r is THREE.Color, hex or string\n\n\t\t\tconst value = r;\n\n\t\t\tif ( value && value.isColor ) {\n\n\t\t\t\tthis.copy( value );\n\n\t\t\t} else if ( typeof value === 'number' ) {\n\n\t\t\t\tthis.setHex( value );\n\n\t\t\t} else if ( typeof value === 'string' ) {\n\n\t\t\t\tthis.setStyle( value );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthis.setRGB( r, g, b );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetScalar( scalar ) {\n\n\t\tthis.r = scalar;\n\t\tthis.g = scalar;\n\t\tthis.b = scalar;\n\n\t\treturn this;\n\n\t}\n\n\tsetHex( hex, colorSpace = SRGBColorSpace ) {\n\n\t\thex = Math.floor( hex );\n\n\t\tthis.r = ( hex >> 16 & 255 ) / 255;\n\t\tthis.g = ( hex >> 8 & 255 ) / 255;\n\t\tthis.b = ( hex & 255 ) / 255;\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetRGB( r, g, b, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\tthis.r = r;\n\t\tthis.g = g;\n\t\tthis.b = b;\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetHSL( h, s, l, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\t// h,s,l ranges are in 0.0 - 1.0\n\t\th = euclideanModulo( h, 1 );\n\t\ts = clamp( s, 0, 1 );\n\t\tl = clamp( l, 0, 1 );\n\n\t\tif ( s === 0 ) {\n\n\t\t\tthis.r = this.g = this.b = l;\n\n\t\t} else {\n\n\t\t\tconst p = l <= 0.5 ? l * ( 1 + s ) : l + s - ( l * s );\n\t\t\tconst q = ( 2 * l ) - p;\n\n\t\t\tthis.r = hue2rgb( q, p, h + 1 / 3 );\n\t\t\tthis.g = hue2rgb( q, p, h );\n\t\t\tthis.b = hue2rgb( q, p, h - 1 / 3 );\n\n\t\t}\n\n\t\tColorManagement.toWorkingColorSpace( this, colorSpace );\n\n\t\treturn this;\n\n\t}\n\n\tsetStyle( style, colorSpace = SRGBColorSpace ) {\n\n\t\tfunction handleAlpha( string ) {\n\n\t\t\tif ( string === undefined ) return;\n\n\t\t\tif ( parseFloat( string ) < 1 ) {\n\n\t\t\t\tconsole.warn( 'THREE.Color: Alpha component of ' + style + ' will be ignored.' );\n\n\t\t\t}\n\n\t\t}\n\n\n\t\tlet m;\n\n\t\tif ( m = /^(\\w+)\\(([^\\)]*)\\)/.exec( style ) ) {\n\n\t\t\t// rgb / hsl\n\n\t\t\tlet color;\n\t\t\tconst name = m[ 1 ];\n\t\t\tconst components = m[ 2 ];\n\n\t\t\tswitch ( name ) {\n\n\t\t\t\tcase 'rgb':\n\t\t\t\tcase 'rgba':\n\n\t\t\t\t\tif ( color = /^\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// rgb(255,0,0) rgba(255,0,0,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setRGB(\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 1 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 2 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tMath.min( 255, parseInt( color[ 3 ], 10 ) ) / 255,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( color = /^\\s*(\\d+)\\%\\s*,\\s*(\\d+)\\%\\s*,\\s*(\\d+)\\%\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// rgb(100%,0%,0%) rgba(100%,0%,0%,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setRGB(\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 1 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 2 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tMath.min( 100, parseInt( color[ 3 ], 10 ) ) / 100,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'hsl':\n\t\t\t\tcase 'hsla':\n\n\t\t\t\t\tif ( color = /^\\s*(\\d*\\.?\\d+)\\s*,\\s*(\\d*\\.?\\d+)\\%\\s*,\\s*(\\d*\\.?\\d+)\\%\\s*(?:,\\s*(\\d*\\.?\\d+)\\s*)?$/.exec( components ) ) {\n\n\t\t\t\t\t\t// hsl(120,50%,50%) hsla(120,50%,50%,0.5)\n\n\t\t\t\t\t\thandleAlpha( color[ 4 ] );\n\n\t\t\t\t\t\treturn this.setHSL(\n\t\t\t\t\t\t\tparseFloat( color[ 1 ] ) / 360,\n\t\t\t\t\t\t\tparseFloat( color[ 2 ] ) / 100,\n\t\t\t\t\t\t\tparseFloat( color[ 3 ] ) / 100,\n\t\t\t\t\t\t\tcolorSpace\n\t\t\t\t\t\t);\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tconsole.warn( 'THREE.Color: Unknown color model ' + style );\n\n\t\t\t}\n\n\t\t} else if ( m = /^\\#([A-Fa-f\\d]+)$/.exec( style ) ) {\n\n\t\t\t// hex color\n\n\t\t\tconst hex = m[ 1 ];\n\t\t\tconst size = hex.length;\n\n\t\t\tif ( size === 3 ) {\n\n\t\t\t\t// #ff0\n\t\t\t\treturn this.setRGB(\n\t\t\t\t\tparseInt( hex.charAt( 0 ), 16 ) / 15,\n\t\t\t\t\tparseInt( hex.charAt( 1 ), 16 ) / 15,\n\t\t\t\t\tparseInt( hex.charAt( 2 ), 16 ) / 15,\n\t\t\t\t\tcolorSpace\n\t\t\t\t);\n\n\t\t\t} else if ( size === 6 ) {\n\n\t\t\t\t// #ff0000\n\t\t\t\treturn this.setHex( parseInt( hex, 16 ), colorSpace );\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'THREE.Color: Invalid hex color ' + style );\n\n\t\t\t}\n\n\t\t} else if ( style && style.length > 0 ) {\n\n\t\t\treturn this.setColorName( style, colorSpace );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetColorName( style, colorSpace = SRGBColorSpace ) {\n\n\t\t// color keywords\n\t\tconst hex = _colorKeywords[ style.toLowerCase() ];\n\n\t\tif ( hex !== undefined ) {\n\n\t\t\t// red\n\t\t\tthis.setHex( hex, colorSpace );\n\n\t\t} else {\n\n\t\t\t// unknown color\n\t\t\tconsole.warn( 'THREE.Color: Unknown color ' + style );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.r, this.g, this.b );\n\n\t}\n\n\tcopy( color ) {\n\n\t\tthis.r = color.r;\n\t\tthis.g = color.g;\n\t\tthis.b = color.b;\n\n\t\treturn this;\n\n\t}\n\n\tcopySRGBToLinear( color ) {\n\n\t\tthis.r = SRGBToLinear( color.r );\n\t\tthis.g = SRGBToLinear( color.g );\n\t\tthis.b = SRGBToLinear( color.b );\n\n\t\treturn this;\n\n\t}\n\n\tcopyLinearToSRGB( color ) {\n\n\t\tthis.r = LinearToSRGB( color.r );\n\t\tthis.g = LinearToSRGB( color.g );\n\t\tthis.b = LinearToSRGB( color.b );\n\n\t\treturn this;\n\n\t}\n\n\tconvertSRGBToLinear() {\n\n\t\tthis.copySRGBToLinear( this );\n\n\t\treturn this;\n\n\t}\n\n\tconvertLinearToSRGB() {\n\n\t\tthis.copyLinearToSRGB( this );\n\n\t\treturn this;\n\n\t}\n\n\tgetHex( colorSpace = SRGBColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\treturn Math.round( clamp( _color.r * 255, 0, 255 ) ) * 65536 + Math.round( clamp( _color.g * 255, 0, 255 ) ) * 256 + Math.round( clamp( _color.b * 255, 0, 255 ) );\n\n\t}\n\n\tgetHexString( colorSpace = SRGBColorSpace ) {\n\n\t\treturn ( '000000' + this.getHex( colorSpace ).toString( 16 ) ).slice( - 6 );\n\n\t}\n\n\tgetHSL( target, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\t// h,s,l ranges are in 0.0 - 1.0\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\tconst r = _color.r, g = _color.g, b = _color.b;\n\n\t\tconst max = Math.max( r, g, b );\n\t\tconst min = Math.min( r, g, b );\n\n\t\tlet hue, saturation;\n\t\tconst lightness = ( min + max ) / 2.0;\n\n\t\tif ( min === max ) {\n\n\t\t\thue = 0;\n\t\t\tsaturation = 0;\n\n\t\t} else {\n\n\t\t\tconst delta = max - min;\n\n\t\t\tsaturation = lightness <= 0.5 ? delta / ( max + min ) : delta / ( 2 - max - min );\n\n\t\t\tswitch ( max ) {\n\n\t\t\t\tcase r: hue = ( g - b ) / delta + ( g < b ? 6 : 0 ); break;\n\t\t\t\tcase g: hue = ( b - r ) / delta + 2; break;\n\t\t\t\tcase b: hue = ( r - g ) / delta + 4; break;\n\n\t\t\t}\n\n\t\t\thue /= 6;\n\n\t\t}\n\n\t\ttarget.h = hue;\n\t\ttarget.s = saturation;\n\t\ttarget.l = lightness;\n\n\t\treturn target;\n\n\t}\n\n\tgetRGB( target, colorSpace = ColorManagement.workingColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\ttarget.r = _color.r;\n\t\ttarget.g = _color.g;\n\t\ttarget.b = _color.b;\n\n\t\treturn target;\n\n\t}\n\n\tgetStyle( colorSpace = SRGBColorSpace ) {\n\n\t\tColorManagement.fromWorkingColorSpace( _color.copy( this ), colorSpace );\n\n\t\tconst r = _color.r, g = _color.g, b = _color.b;\n\n\t\tif ( colorSpace !== SRGBColorSpace ) {\n\n\t\t\t// Requires CSS Color Module Level 4 (https://www.w3.org/TR/css-color-4/).\n\t\t\treturn `color(${ colorSpace } ${ r.toFixed( 3 ) } ${ g.toFixed( 3 ) } ${ b.toFixed( 3 ) })`;\n\n\t\t}\n\n\t\treturn `rgb(${ Math.round( r * 255 ) },${ Math.round( g * 255 ) },${ Math.round( b * 255 ) })`;\n\n\t}\n\n\toffsetHSL( h, s, l ) {\n\n\t\tthis.getHSL( _hslA );\n\n\t\treturn this.setHSL( _hslA.h + h, _hslA.s + s, _hslA.l + l );\n\n\t}\n\n\tadd( color ) {\n\n\t\tthis.r += color.r;\n\t\tthis.g += color.g;\n\t\tthis.b += color.b;\n\n\t\treturn this;\n\n\t}\n\n\taddColors( color1, color2 ) {\n\n\t\tthis.r = color1.r + color2.r;\n\t\tthis.g = color1.g + color2.g;\n\t\tthis.b = color1.b + color2.b;\n\n\t\treturn this;\n\n\t}\n\n\taddScalar( s ) {\n\n\t\tthis.r += s;\n\t\tthis.g += s;\n\t\tthis.b += s;\n\n\t\treturn this;\n\n\t}\n\n\tsub( color ) {\n\n\t\tthis.r = Math.max( 0, this.r - color.r );\n\t\tthis.g = Math.max( 0, this.g - color.g );\n\t\tthis.b = Math.max( 0, this.b - color.b );\n\n\t\treturn this;\n\n\t}\n\n\tmultiply( color ) {\n\n\t\tthis.r *= color.r;\n\t\tthis.g *= color.g;\n\t\tthis.b *= color.b;\n\n\t\treturn this;\n\n\t}\n\n\tmultiplyScalar( s ) {\n\n\t\tthis.r *= s;\n\t\tthis.g *= s;\n\t\tthis.b *= s;\n\n\t\treturn this;\n\n\t}\n\n\tlerp( color, alpha ) {\n\n\t\tthis.r += ( color.r - this.r ) * alpha;\n\t\tthis.g += ( color.g - this.g ) * alpha;\n\t\tthis.b += ( color.b - this.b ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpColors( color1, color2, alpha ) {\n\n\t\tthis.r = color1.r + ( color2.r - color1.r ) * alpha;\n\t\tthis.g = color1.g + ( color2.g - color1.g ) * alpha;\n\t\tthis.b = color1.b + ( color2.b - color1.b ) * alpha;\n\n\t\treturn this;\n\n\t}\n\n\tlerpHSL( color, alpha ) {\n\n\t\tthis.getHSL( _hslA );\n\t\tcolor.getHSL( _hslB );\n\n\t\tconst h = lerp( _hslA.h, _hslB.h, alpha );\n\t\tconst s = lerp( _hslA.s, _hslB.s, alpha );\n\t\tconst l = lerp( _hslA.l, _hslB.l, alpha );\n\n\t\tthis.setHSL( h, s, l );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\tthis.r = v.x;\n\t\tthis.g = v.y;\n\t\tthis.b = v.z;\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tconst r = this.r, g = this.g, b = this.b;\n\t\tconst e = m.elements;\n\n\t\tthis.r = e[ 0 ] * r + e[ 3 ] * g + e[ 6 ] * b;\n\t\tthis.g = e[ 1 ] * r + e[ 4 ] * g + e[ 7 ] * b;\n\t\tthis.b = e[ 2 ] * r + e[ 5 ] * g + e[ 8 ] * b;\n\n\t\treturn this;\n\n\t}\n\n\tequals( c ) {\n\n\t\treturn ( c.r === this.r ) && ( c.g === this.g ) && ( c.b === this.b );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tthis.r = array[ offset ];\n\t\tthis.g = array[ offset + 1 ];\n\t\tthis.b = array[ offset + 2 ];\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tarray[ offset ] = this.r;\n\t\tarray[ offset + 1 ] = this.g;\n\t\tarray[ offset + 2 ] = this.b;\n\n\t\treturn array;\n\n\t}\n\n\tfromBufferAttribute( attribute, index ) {\n\n\t\tthis.r = attribute.getX( index );\n\t\tthis.g = attribute.getY( index );\n\t\tthis.b = attribute.getZ( index );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.getHex();\n\n\t}\n\n\t*[ Symbol.iterator ]() {\n\n\t\tyield this.r;\n\t\tyield this.g;\n\t\tyield this.b;\n\n\t}\n\n}\n\nconst _color = /*@__PURE__*/ new Color();\n\nColor.NAMES = _colorKeywords;\n\nlet _materialId = 0;\n\nclass Material extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isMaterial = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _materialId ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'Material';\n\n\t\tthis.blending = NormalBlending;\n\t\tthis.side = FrontSide;\n\t\tthis.vertexColors = false;\n\n\t\tthis.opacity = 1;\n\t\tthis.transparent = false;\n\t\tthis.alphaHash = false;\n\n\t\tthis.blendSrc = SrcAlphaFactor;\n\t\tthis.blendDst = OneMinusSrcAlphaFactor;\n\t\tthis.blendEquation = AddEquation;\n\t\tthis.blendSrcAlpha = null;\n\t\tthis.blendDstAlpha = null;\n\t\tthis.blendEquationAlpha = null;\n\t\tthis.blendColor = new Color( 0, 0, 0 );\n\t\tthis.blendAlpha = 0;\n\n\t\tthis.depthFunc = LessEqualDepth;\n\t\tthis.depthTest = true;\n\t\tthis.depthWrite = true;\n\n\t\tthis.stencilWriteMask = 0xff;\n\t\tthis.stencilFunc = AlwaysStencilFunc;\n\t\tthis.stencilRef = 0;\n\t\tthis.stencilFuncMask = 0xff;\n\t\tthis.stencilFail = KeepStencilOp;\n\t\tthis.stencilZFail = KeepStencilOp;\n\t\tthis.stencilZPass = KeepStencilOp;\n\t\tthis.stencilWrite = false;\n\n\t\tthis.clippingPlanes = null;\n\t\tthis.clipIntersection = false;\n\t\tthis.clipShadows = false;\n\n\t\tthis.shadowSide = null;\n\n\t\tthis.colorWrite = true;\n\n\t\tthis.precision = null; // override the renderer's default precision for this material\n\n\t\tthis.polygonOffset = false;\n\t\tthis.polygonOffsetFactor = 0;\n\t\tthis.polygonOffsetUnits = 0;\n\n\t\tthis.dithering = false;\n\n\t\tthis.alphaToCoverage = false;\n\t\tthis.premultipliedAlpha = false;\n\t\tthis.forceSinglePass = false;\n\n\t\tthis.visible = true;\n\n\t\tthis.toneMapped = true;\n\n\t\tthis.userData = {};\n\n\t\tthis.version = 0;\n\n\t\tthis._alphaTest = 0;\n\n\t}\n\n\tget alphaTest() {\n\n\t\treturn this._alphaTest;\n\n\t}\n\n\tset alphaTest( value ) {\n\n\t\tif ( this._alphaTest > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._alphaTest = value;\n\n\t}\n\n\tonBuild( /* shaderobject, renderer */ ) {}\n\n\tonBeforeRender( /* renderer, scene, camera, geometry, object, group */ ) {}\n\n\tonBeforeCompile( /* shaderobject, renderer */ ) {}\n\n\tcustomProgramCacheKey() {\n\n\t\treturn this.onBeforeCompile.toString();\n\n\t}\n\n\tsetValues( values ) {\n\n\t\tif ( values === undefined ) return;\n\n\t\tfor ( const key in values ) {\n\n\t\t\tconst newValue = values[ key ];\n\n\t\t\tif ( newValue === undefined ) {\n\n\t\t\t\tconsole.warn( `THREE.Material: parameter '${ key }' has value of undefined.` );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tconst currentValue = this[ key ];\n\n\t\t\tif ( currentValue === undefined ) {\n\n\t\t\t\tconsole.warn( `THREE.Material: '${ key }' is not a property of THREE.${ this.type }.` );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( currentValue && currentValue.isColor ) {\n\n\t\t\t\tcurrentValue.set( newValue );\n\n\t\t\t} else if ( ( currentValue && currentValue.isVector3 ) && ( newValue && newValue.isVector3 ) ) {\n\n\t\t\t\tcurrentValue.copy( newValue );\n\n\t\t\t} else {\n\n\t\t\t\tthis[ key ] = newValue;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst isRootObject = ( meta === undefined || typeof meta === 'string' );\n\n\t\tif ( isRootObject ) {\n\n\t\t\tmeta = {\n\t\t\t\ttextures: {},\n\t\t\t\timages: {}\n\t\t\t};\n\n\t\t}\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Material',\n\t\t\t\tgenerator: 'Material.toJSON'\n\t\t\t}\n\t\t};\n\n\t\t// standard Material serialization\n\t\tdata.uuid = this.uuid;\n\t\tdata.type = this.type;\n\n\t\tif ( this.name !== '' ) data.name = this.name;\n\n\t\tif ( this.color && this.color.isColor ) data.color = this.color.getHex();\n\n\t\tif ( this.roughness !== undefined ) data.roughness = this.roughness;\n\t\tif ( this.metalness !== undefined ) data.metalness = this.metalness;\n\n\t\tif ( this.sheen !== undefined ) data.sheen = this.sheen;\n\t\tif ( this.sheenColor && this.sheenColor.isColor ) data.sheenColor = this.sheenColor.getHex();\n\t\tif ( this.sheenRoughness !== undefined ) data.sheenRoughness = this.sheenRoughness;\n\t\tif ( this.emissive && this.emissive.isColor ) data.emissive = this.emissive.getHex();\n\t\tif ( this.emissiveIntensity && this.emissiveIntensity !== 1 ) data.emissiveIntensity = this.emissiveIntensity;\n\n\t\tif ( this.specular && this.specular.isColor ) data.specular = this.specular.getHex();\n\t\tif ( this.specularIntensity !== undefined ) data.specularIntensity = this.specularIntensity;\n\t\tif ( this.specularColor && this.specularColor.isColor ) data.specularColor = this.specularColor.getHex();\n\t\tif ( this.shininess !== undefined ) data.shininess = this.shininess;\n\t\tif ( this.clearcoat !== undefined ) data.clearcoat = this.clearcoat;\n\t\tif ( this.clearcoatRoughness !== undefined ) data.clearcoatRoughness = this.clearcoatRoughness;\n\n\t\tif ( this.clearcoatMap && this.clearcoatMap.isTexture ) {\n\n\t\t\tdata.clearcoatMap = this.clearcoatMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture ) {\n\n\t\t\tdata.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture ) {\n\n\t\t\tdata.clearcoatNormalMap = this.clearcoatNormalMap.toJSON( meta ).uuid;\n\t\t\tdata.clearcoatNormalScale = this.clearcoatNormalScale.toArray();\n\n\t\t}\n\n\t\tif ( this.iridescence !== undefined ) data.iridescence = this.iridescence;\n\t\tif ( this.iridescenceIOR !== undefined ) data.iridescenceIOR = this.iridescenceIOR;\n\t\tif ( this.iridescenceThicknessRange !== undefined ) data.iridescenceThicknessRange = this.iridescenceThicknessRange;\n\n\t\tif ( this.iridescenceMap && this.iridescenceMap.isTexture ) {\n\n\t\t\tdata.iridescenceMap = this.iridescenceMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.iridescenceThicknessMap && this.iridescenceThicknessMap.isTexture ) {\n\n\t\t\tdata.iridescenceThicknessMap = this.iridescenceThicknessMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.anisotropy !== undefined ) data.anisotropy = this.anisotropy;\n\t\tif ( this.anisotropyRotation !== undefined ) data.anisotropyRotation = this.anisotropyRotation;\n\n\t\tif ( this.anisotropyMap && this.anisotropyMap.isTexture ) {\n\n\t\t\tdata.anisotropyMap = this.anisotropyMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.map && this.map.isTexture ) data.map = this.map.toJSON( meta ).uuid;\n\t\tif ( this.matcap && this.matcap.isTexture ) data.matcap = this.matcap.toJSON( meta ).uuid;\n\t\tif ( this.alphaMap && this.alphaMap.isTexture ) data.alphaMap = this.alphaMap.toJSON( meta ).uuid;\n\n\t\tif ( this.lightMap && this.lightMap.isTexture ) {\n\n\t\t\tdata.lightMap = this.lightMap.toJSON( meta ).uuid;\n\t\t\tdata.lightMapIntensity = this.lightMapIntensity;\n\n\t\t}\n\n\t\tif ( this.aoMap && this.aoMap.isTexture ) {\n\n\t\t\tdata.aoMap = this.aoMap.toJSON( meta ).uuid;\n\t\t\tdata.aoMapIntensity = this.aoMapIntensity;\n\n\t\t}\n\n\t\tif ( this.bumpMap && this.bumpMap.isTexture ) {\n\n\t\t\tdata.bumpMap = this.bumpMap.toJSON( meta ).uuid;\n\t\t\tdata.bumpScale = this.bumpScale;\n\n\t\t}\n\n\t\tif ( this.normalMap && this.normalMap.isTexture ) {\n\n\t\t\tdata.normalMap = this.normalMap.toJSON( meta ).uuid;\n\t\t\tdata.normalMapType = this.normalMapType;\n\t\t\tdata.normalScale = this.normalScale.toArray();\n\n\t\t}\n\n\t\tif ( this.displacementMap && this.displacementMap.isTexture ) {\n\n\t\t\tdata.displacementMap = this.displacementMap.toJSON( meta ).uuid;\n\t\t\tdata.displacementScale = this.displacementScale;\n\t\t\tdata.displacementBias = this.displacementBias;\n\n\t\t}\n\n\t\tif ( this.roughnessMap && this.roughnessMap.isTexture ) data.roughnessMap = this.roughnessMap.toJSON( meta ).uuid;\n\t\tif ( this.metalnessMap && this.metalnessMap.isTexture ) data.metalnessMap = this.metalnessMap.toJSON( meta ).uuid;\n\n\t\tif ( this.emissiveMap && this.emissiveMap.isTexture ) data.emissiveMap = this.emissiveMap.toJSON( meta ).uuid;\n\t\tif ( this.specularMap && this.specularMap.isTexture ) data.specularMap = this.specularMap.toJSON( meta ).uuid;\n\t\tif ( this.specularIntensityMap && this.specularIntensityMap.isTexture ) data.specularIntensityMap = this.specularIntensityMap.toJSON( meta ).uuid;\n\t\tif ( this.specularColorMap && this.specularColorMap.isTexture ) data.specularColorMap = this.specularColorMap.toJSON( meta ).uuid;\n\n\t\tif ( this.envMap && this.envMap.isTexture ) {\n\n\t\t\tdata.envMap = this.envMap.toJSON( meta ).uuid;\n\n\t\t\tif ( this.combine !== undefined ) data.combine = this.combine;\n\n\t\t}\n\n\t\tif ( this.envMapIntensity !== undefined ) data.envMapIntensity = this.envMapIntensity;\n\t\tif ( this.reflectivity !== undefined ) data.reflectivity = this.reflectivity;\n\t\tif ( this.refractionRatio !== undefined ) data.refractionRatio = this.refractionRatio;\n\n\t\tif ( this.gradientMap && this.gradientMap.isTexture ) {\n\n\t\t\tdata.gradientMap = this.gradientMap.toJSON( meta ).uuid;\n\n\t\t}\n\n\t\tif ( this.transmission !== undefined ) data.transmission = this.transmission;\n\t\tif ( this.transmissionMap && this.transmissionMap.isTexture ) data.transmissionMap = this.transmissionMap.toJSON( meta ).uuid;\n\t\tif ( this.thickness !== undefined ) data.thickness = this.thickness;\n\t\tif ( this.thicknessMap && this.thicknessMap.isTexture ) data.thicknessMap = this.thicknessMap.toJSON( meta ).uuid;\n\t\tif ( this.attenuationDistance !== undefined && this.attenuationDistance !== Infinity ) data.attenuationDistance = this.attenuationDistance;\n\t\tif ( this.attenuationColor !== undefined ) data.attenuationColor = this.attenuationColor.getHex();\n\n\t\tif ( this.size !== undefined ) data.size = this.size;\n\t\tif ( this.shadowSide !== null ) data.shadowSide = this.shadowSide;\n\t\tif ( this.sizeAttenuation !== undefined ) data.sizeAttenuation = this.sizeAttenuation;\n\n\t\tif ( this.blending !== NormalBlending ) data.blending = this.blending;\n\t\tif ( this.side !== FrontSide ) data.side = this.side;\n\t\tif ( this.vertexColors === true ) data.vertexColors = true;\n\n\t\tif ( this.opacity < 1 ) data.opacity = this.opacity;\n\t\tif ( this.transparent === true ) data.transparent = true;\n\n\t\tif ( this.blendSrc !== SrcAlphaFactor ) data.blendSrc = this.blendSrc;\n\t\tif ( this.blendDst !== OneMinusSrcAlphaFactor ) data.blendDst = this.blendDst;\n\t\tif ( this.blendEquation !== AddEquation ) data.blendEquation = this.blendEquation;\n\t\tif ( this.blendSrcAlpha !== null ) data.blendSrcAlpha = this.blendSrcAlpha;\n\t\tif ( this.blendDstAlpha !== null ) data.blendDstAlpha = this.blendDstAlpha;\n\t\tif ( this.blendEquationAlpha !== null ) data.blendEquationAlpha = this.blendEquationAlpha;\n\t\tif ( this.blendColor && this.blendColor.isColor ) data.blendColor = this.blendColor.getHex();\n\t\tif ( this.blendAlpha !== 0 ) data.blendAlpha = this.blendAlpha;\n\n\t\tif ( this.depthFunc !== LessEqualDepth ) data.depthFunc = this.depthFunc;\n\t\tif ( this.depthTest === false ) data.depthTest = this.depthTest;\n\t\tif ( this.depthWrite === false ) data.depthWrite = this.depthWrite;\n\t\tif ( this.colorWrite === false ) data.colorWrite = this.colorWrite;\n\n\t\tif ( this.stencilWriteMask !== 0xff ) data.stencilWriteMask = this.stencilWriteMask;\n\t\tif ( this.stencilFunc !== AlwaysStencilFunc ) data.stencilFunc = this.stencilFunc;\n\t\tif ( this.stencilRef !== 0 ) data.stencilRef = this.stencilRef;\n\t\tif ( this.stencilFuncMask !== 0xff ) data.stencilFuncMask = this.stencilFuncMask;\n\t\tif ( this.stencilFail !== KeepStencilOp ) data.stencilFail = this.stencilFail;\n\t\tif ( this.stencilZFail !== KeepStencilOp ) data.stencilZFail = this.stencilZFail;\n\t\tif ( this.stencilZPass !== KeepStencilOp ) data.stencilZPass = this.stencilZPass;\n\t\tif ( this.stencilWrite === true ) data.stencilWrite = this.stencilWrite;\n\n\t\t// rotation (SpriteMaterial)\n\t\tif ( this.rotation !== undefined && this.rotation !== 0 ) data.rotation = this.rotation;\n\n\t\tif ( this.polygonOffset === true ) data.polygonOffset = true;\n\t\tif ( this.polygonOffsetFactor !== 0 ) data.polygonOffsetFactor = this.polygonOffsetFactor;\n\t\tif ( this.polygonOffsetUnits !== 0 ) data.polygonOffsetUnits = this.polygonOffsetUnits;\n\n\t\tif ( this.linewidth !== undefined && this.linewidth !== 1 ) data.linewidth = this.linewidth;\n\t\tif ( this.dashSize !== undefined ) data.dashSize = this.dashSize;\n\t\tif ( this.gapSize !== undefined ) data.gapSize = this.gapSize;\n\t\tif ( this.scale !== undefined ) data.scale = this.scale;\n\n\t\tif ( this.dithering === true ) data.dithering = true;\n\n\t\tif ( this.alphaTest > 0 ) data.alphaTest = this.alphaTest;\n\t\tif ( this.alphaHash === true ) data.alphaHash = true;\n\t\tif ( this.alphaToCoverage === true ) data.alphaToCoverage = true;\n\t\tif ( this.premultipliedAlpha === true ) data.premultipliedAlpha = true;\n\t\tif ( this.forceSinglePass === true ) data.forceSinglePass = true;\n\n\t\tif ( this.wireframe === true ) data.wireframe = true;\n\t\tif ( this.wireframeLinewidth > 1 ) data.wireframeLinewidth = this.wireframeLinewidth;\n\t\tif ( this.wireframeLinecap !== 'round' ) data.wireframeLinecap = this.wireframeLinecap;\n\t\tif ( this.wireframeLinejoin !== 'round' ) data.wireframeLinejoin = this.wireframeLinejoin;\n\n\t\tif ( this.flatShading === true ) data.flatShading = true;\n\n\t\tif ( this.visible === false ) data.visible = false;\n\n\t\tif ( this.toneMapped === false ) data.toneMapped = false;\n\n\t\tif ( this.fog === false ) data.fog = false;\n\n\t\tif ( Object.keys( this.userData ).length > 0 ) data.userData = this.userData;\n\n\t\t// TODO: Copied from Object3D.toJSON\n\n\t\tfunction extractFromCache( cache ) {\n\n\t\t\tconst values = [];\n\n\t\t\tfor ( const key in cache ) {\n\n\t\t\t\tconst data = cache[ key ];\n\t\t\t\tdelete data.metadata;\n\t\t\t\tvalues.push( data );\n\n\t\t\t}\n\n\t\t\treturn values;\n\n\t\t}\n\n\t\tif ( isRootObject ) {\n\n\t\t\tconst textures = extractFromCache( meta.textures );\n\t\t\tconst images = extractFromCache( meta.images );\n\n\t\t\tif ( textures.length > 0 ) data.textures = textures;\n\t\t\tif ( images.length > 0 ) data.images = images;\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\n\t\tthis.blending = source.blending;\n\t\tthis.side = source.side;\n\t\tthis.vertexColors = source.vertexColors;\n\n\t\tthis.opacity = source.opacity;\n\t\tthis.transparent = source.transparent;\n\n\t\tthis.blendSrc = source.blendSrc;\n\t\tthis.blendDst = source.blendDst;\n\t\tthis.blendEquation = source.blendEquation;\n\t\tthis.blendSrcAlpha = source.blendSrcAlpha;\n\t\tthis.blendDstAlpha = source.blendDstAlpha;\n\t\tthis.blendEquationAlpha = source.blendEquationAlpha;\n\t\tthis.blendColor.copy( source.blendColor );\n\t\tthis.blendAlpha = source.blendAlpha;\n\n\t\tthis.depthFunc = source.depthFunc;\n\t\tthis.depthTest = source.depthTest;\n\t\tthis.depthWrite = source.depthWrite;\n\n\t\tthis.stencilWriteMask = source.stencilWriteMask;\n\t\tthis.stencilFunc = source.stencilFunc;\n\t\tthis.stencilRef = source.stencilRef;\n\t\tthis.stencilFuncMask = source.stencilFuncMask;\n\t\tthis.stencilFail = source.stencilFail;\n\t\tthis.stencilZFail = source.stencilZFail;\n\t\tthis.stencilZPass = source.stencilZPass;\n\t\tthis.stencilWrite = source.stencilWrite;\n\n\t\tconst srcPlanes = source.clippingPlanes;\n\t\tlet dstPlanes = null;\n\n\t\tif ( srcPlanes !== null ) {\n\n\t\t\tconst n = srcPlanes.length;\n\t\t\tdstPlanes = new Array( n );\n\n\t\t\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\t\t\tdstPlanes[ i ] = srcPlanes[ i ].clone();\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.clippingPlanes = dstPlanes;\n\t\tthis.clipIntersection = source.clipIntersection;\n\t\tthis.clipShadows = source.clipShadows;\n\n\t\tthis.shadowSide = source.shadowSide;\n\n\t\tthis.colorWrite = source.colorWrite;\n\n\t\tthis.precision = source.precision;\n\n\t\tthis.polygonOffset = source.polygonOffset;\n\t\tthis.polygonOffsetFactor = source.polygonOffsetFactor;\n\t\tthis.polygonOffsetUnits = source.polygonOffsetUnits;\n\n\t\tthis.dithering = source.dithering;\n\n\t\tthis.alphaTest = source.alphaTest;\n\t\tthis.alphaHash = source.alphaHash;\n\t\tthis.alphaToCoverage = source.alphaToCoverage;\n\t\tthis.premultipliedAlpha = source.premultipliedAlpha;\n\t\tthis.forceSinglePass = source.forceSinglePass;\n\n\t\tthis.visible = source.visible;\n\n\t\tthis.toneMapped = source.toneMapped;\n\n\t\tthis.userData = JSON.parse( JSON.stringify( source.userData ) );\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n}\n\nclass MeshBasicMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshBasicMaterial = true;\n\n\t\tthis.type = 'MeshBasicMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // emissive\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\n// Fast Half Float Conversions, http://www.fox-toolkit.org/ftp/fasthalffloatconversion.pdf\n\nconst _tables = /*@__PURE__*/ _generateTables();\n\nfunction _generateTables() {\n\n\t// float32 to float16 helpers\n\n\tconst buffer = new ArrayBuffer( 4 );\n\tconst floatView = new Float32Array( buffer );\n\tconst uint32View = new Uint32Array( buffer );\n\n\tconst baseTable = new Uint32Array( 512 );\n\tconst shiftTable = new Uint32Array( 512 );\n\n\tfor ( let i = 0; i < 256; ++ i ) {\n\n\t\tconst e = i - 127;\n\n\t\t// very small number (0, -0)\n\n\t\tif ( e < - 27 ) {\n\n\t\t\tbaseTable[ i ] = 0x0000;\n\t\t\tbaseTable[ i | 0x100 ] = 0x8000;\n\t\t\tshiftTable[ i ] = 24;\n\t\t\tshiftTable[ i | 0x100 ] = 24;\n\n\t\t\t// small number (denorm)\n\n\t\t} else if ( e < - 14 ) {\n\n\t\t\tbaseTable[ i ] = 0x0400 >> ( - e - 14 );\n\t\t\tbaseTable[ i | 0x100 ] = ( 0x0400 >> ( - e - 14 ) ) | 0x8000;\n\t\t\tshiftTable[ i ] = - e - 1;\n\t\t\tshiftTable[ i | 0x100 ] = - e - 1;\n\n\t\t\t// normal number\n\n\t\t} else if ( e <= 15 ) {\n\n\t\t\tbaseTable[ i ] = ( e + 15 ) << 10;\n\t\t\tbaseTable[ i | 0x100 ] = ( ( e + 15 ) << 10 ) | 0x8000;\n\t\t\tshiftTable[ i ] = 13;\n\t\t\tshiftTable[ i | 0x100 ] = 13;\n\n\t\t\t// large number (Infinity, -Infinity)\n\n\t\t} else if ( e < 128 ) {\n\n\t\t\tbaseTable[ i ] = 0x7c00;\n\t\t\tbaseTable[ i | 0x100 ] = 0xfc00;\n\t\t\tshiftTable[ i ] = 24;\n\t\t\tshiftTable[ i | 0x100 ] = 24;\n\n\t\t\t// stay (NaN, Infinity, -Infinity)\n\n\t\t} else {\n\n\t\t\tbaseTable[ i ] = 0x7c00;\n\t\t\tbaseTable[ i | 0x100 ] = 0xfc00;\n\t\t\tshiftTable[ i ] = 13;\n\t\t\tshiftTable[ i | 0x100 ] = 13;\n\n\t\t}\n\n\t}\n\n\t// float16 to float32 helpers\n\n\tconst mantissaTable = new Uint32Array( 2048 );\n\tconst exponentTable = new Uint32Array( 64 );\n\tconst offsetTable = new Uint32Array( 64 );\n\n\tfor ( let i = 1; i < 1024; ++ i ) {\n\n\t\tlet m = i << 13; // zero pad mantissa bits\n\t\tlet e = 0; // zero exponent\n\n\t\t// normalized\n\t\twhile ( ( m & 0x00800000 ) === 0 ) {\n\n\t\t\tm <<= 1;\n\t\t\te -= 0x00800000; // decrement exponent\n\n\t\t}\n\n\t\tm &= ~ 0x00800000; // clear leading 1 bit\n\t\te += 0x38800000; // adjust bias\n\n\t\tmantissaTable[ i ] = m | e;\n\n\t}\n\n\tfor ( let i = 1024; i < 2048; ++ i ) {\n\n\t\tmantissaTable[ i ] = 0x38000000 + ( ( i - 1024 ) << 13 );\n\n\t}\n\n\tfor ( let i = 1; i < 31; ++ i ) {\n\n\t\texponentTable[ i ] = i << 23;\n\n\t}\n\n\texponentTable[ 31 ] = 0x47800000;\n\texponentTable[ 32 ] = 0x80000000;\n\n\tfor ( let i = 33; i < 63; ++ i ) {\n\n\t\texponentTable[ i ] = 0x80000000 + ( ( i - 32 ) << 23 );\n\n\t}\n\n\texponentTable[ 63 ] = 0xc7800000;\n\n\tfor ( let i = 1; i < 64; ++ i ) {\n\n\t\tif ( i !== 32 ) {\n\n\t\t\toffsetTable[ i ] = 1024;\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tfloatView: floatView,\n\t\tuint32View: uint32View,\n\t\tbaseTable: baseTable,\n\t\tshiftTable: shiftTable,\n\t\tmantissaTable: mantissaTable,\n\t\texponentTable: exponentTable,\n\t\toffsetTable: offsetTable\n\t};\n\n}\n\n// float32 to float16\n\nfunction toHalfFloat( val ) {\n\n\tif ( Math.abs( val ) > 65504 ) console.warn( 'THREE.DataUtils.toHalfFloat(): Value out of range.' );\n\n\tval = clamp( val, - 65504, 65504 );\n\n\t_tables.floatView[ 0 ] = val;\n\tconst f = _tables.uint32View[ 0 ];\n\tconst e = ( f >> 23 ) & 0x1ff;\n\treturn _tables.baseTable[ e ] + ( ( f & 0x007fffff ) >> _tables.shiftTable[ e ] );\n\n}\n\n// float16 to float32\n\nfunction fromHalfFloat( val ) {\n\n\tconst m = val >> 10;\n\t_tables.uint32View[ 0 ] = _tables.mantissaTable[ _tables.offsetTable[ m ] + ( val & 0x3ff ) ] + _tables.exponentTable[ m ];\n\treturn _tables.floatView[ 0 ];\n\n}\n\nconst DataUtils = {\n\ttoHalfFloat: toHalfFloat,\n\tfromHalfFloat: fromHalfFloat,\n};\n\nconst _vector$9 = /*@__PURE__*/ new Vector3();\nconst _vector2$1 = /*@__PURE__*/ new Vector2();\n\nclass BufferAttribute {\n\n\tconstructor( array, itemSize, normalized = false ) {\n\n\t\tif ( Array.isArray( array ) ) {\n\n\t\t\tthrow new TypeError( 'THREE.BufferAttribute: array should be a Typed Array.' );\n\n\t\t}\n\n\t\tthis.isBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.array = array;\n\t\tthis.itemSize = itemSize;\n\t\tthis.count = array !== undefined ? array.length / itemSize : 0;\n\t\tthis.normalized = normalized;\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis._updateRange = { offset: 0, count: - 1 };\n\t\tthis.updateRanges = [];\n\t\tthis.gpuType = FloatType;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tonUploadCallback() {}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tget updateRange() {\n\n\t\tconsole.warn( 'THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead.' ); // @deprecated, r159\n\t\treturn this._updateRange;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\taddUpdateRange( start, count ) {\n\n\t\tthis.updateRanges.push( { start, count } );\n\n\t}\n\n\tclearUpdateRanges() {\n\n\t\tthis.updateRanges.length = 0;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\t\tthis.array = new source.array.constructor( source.array );\n\t\tthis.itemSize = source.itemSize;\n\t\tthis.count = source.count;\n\t\tthis.normalized = source.normalized;\n\n\t\tthis.usage = source.usage;\n\t\tthis.gpuType = source.gpuType;\n\n\t\treturn this;\n\n\t}\n\n\tcopyAt( index1, attribute, index2 ) {\n\n\t\tindex1 *= this.itemSize;\n\t\tindex2 *= attribute.itemSize;\n\n\t\tfor ( let i = 0, l = this.itemSize; i < l; i ++ ) {\n\n\t\t\tthis.array[ index1 + i ] = attribute.array[ index2 + i ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcopyArray( array ) {\n\n\t\tthis.array.set( array );\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix3( m ) {\n\n\t\tif ( this.itemSize === 2 ) {\n\n\t\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t\t_vector2$1.fromBufferAttribute( this, i );\n\t\t\t\t_vector2$1.applyMatrix3( m );\n\n\t\t\t\tthis.setXY( i, _vector2$1.x, _vector2$1.y );\n\n\t\t\t}\n\n\t\t} else if ( this.itemSize === 3 ) {\n\n\t\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t\t_vector$9.fromBufferAttribute( this, i );\n\t\t\t\t_vector$9.applyMatrix3( m );\n\n\t\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.applyMatrix4( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.applyNormalMatrix( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$9.fromBufferAttribute( this, i );\n\n\t\t\t_vector$9.transformDirection( m );\n\n\t\t\tthis.setXYZ( i, _vector$9.x, _vector$9.y, _vector$9.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tset( value, offset = 0 ) {\n\n\t\t// Matching BufferAttribute constructor, do not normalize the array.\n\t\tthis.array.set( value, offset );\n\n\t\treturn this;\n\n\t}\n\n\tgetComponent( index, component ) {\n\n\t\tlet value = this.array[ index * this.itemSize + component ];\n\n\t\tif ( this.normalized ) value = denormalize( value, this.array );\n\n\t\treturn value;\n\n\t}\n\n\tsetComponent( index, component, value ) {\n\n\t\tif ( this.normalized ) value = normalize( value, this.array );\n\n\t\tthis.array[ index * this.itemSize + component ] = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = this.array[ index * this.itemSize ];\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.array[ index * this.itemSize ] = x;\n\n\t\treturn this;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = this.array[ index * this.itemSize + 1 ];\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.array[ index * this.itemSize + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = this.array[ index * this.itemSize + 2 ];\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.array[ index * this.itemSize + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = this.array[ index * this.itemSize + 3 ];\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.array[ index * this.itemSize + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\t\tthis.array[ index + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = x;\n\t\tthis.array[ index + 1 ] = y;\n\t\tthis.array[ index + 2 ] = z;\n\t\tthis.array[ index + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tonUpload( callback ) {\n\n\t\tthis.onUploadCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.array, this.itemSize ).copy( this );\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\titemSize: this.itemSize,\n\t\t\ttype: this.array.constructor.name,\n\t\t\tarray: Array.from( this.array ),\n\t\t\tnormalized: this.normalized\n\t\t};\n\n\t\tif ( this.name !== '' ) data.name = this.name;\n\t\tif ( this.usage !== StaticDrawUsage ) data.usage = this.usage;\n\n\t\treturn data;\n\n\t}\n\n}\n\n//\n\nclass Int8BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int8Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint8BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint8Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint8ClampedBufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint8ClampedArray( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Int16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int16Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint16Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Int32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Int32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Uint32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Float16BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Uint16Array( array ), itemSize, normalized );\n\n\t\tthis.isFloat16BufferAttribute = true;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = fromHalfFloat( this.array[ index * this.itemSize ] );\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.array[ index * this.itemSize ] = toHalfFloat( x );\n\n\t\treturn this;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = fromHalfFloat( this.array[ index * this.itemSize + 1 ] );\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.array[ index * this.itemSize + 1 ] = toHalfFloat( y );\n\n\t\treturn this;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = fromHalfFloat( this.array[ index * this.itemSize + 2 ] );\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.array[ index * this.itemSize + 2 ] = toHalfFloat( z );\n\n\t\treturn this;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = fromHalfFloat( this.array[ index * this.itemSize + 3 ] );\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.array[ index * this.itemSize + 3 ] = toHalfFloat( w );\n\n\t\treturn this;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\t\tthis.array[ index + 2 ] = toHalfFloat( z );\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex *= this.itemSize;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.array[ index + 0 ] = toHalfFloat( x );\n\t\tthis.array[ index + 1 ] = toHalfFloat( y );\n\t\tthis.array[ index + 2 ] = toHalfFloat( z );\n\t\tthis.array[ index + 3 ] = toHalfFloat( w );\n\n\t\treturn this;\n\n\t}\n\n}\n\n\nclass Float32BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Float32Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nclass Float64BufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized ) {\n\n\t\tsuper( new Float64Array( array ), itemSize, normalized );\n\n\t}\n\n}\n\nlet _id$2 = 0;\n\nconst _m1 = /*@__PURE__*/ new Matrix4();\nconst _obj = /*@__PURE__*/ new Object3D();\nconst _offset = /*@__PURE__*/ new Vector3();\nconst _box$2 = /*@__PURE__*/ new Box3();\nconst _boxMorphTargets = /*@__PURE__*/ new Box3();\nconst _vector$8 = /*@__PURE__*/ new Vector3();\n\nclass BufferGeometry extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isBufferGeometry = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _id$2 ++ } );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.name = '';\n\t\tthis.type = 'BufferGeometry';\n\n\t\tthis.index = null;\n\t\tthis.attributes = {};\n\n\t\tthis.morphAttributes = {};\n\t\tthis.morphTargetsRelative = false;\n\n\t\tthis.groups = [];\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\tthis.drawRange = { start: 0, count: Infinity };\n\n\t\tthis.userData = {};\n\n\t}\n\n\tgetIndex() {\n\n\t\treturn this.index;\n\n\t}\n\n\tsetIndex( index ) {\n\n\t\tif ( Array.isArray( index ) ) {\n\n\t\t\tthis.index = new ( arrayNeedsUint32( index ) ? Uint32BufferAttribute : Uint16BufferAttribute )( index, 1 );\n\n\t\t} else {\n\n\t\t\tthis.index = index;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetAttribute( name ) {\n\n\t\treturn this.attributes[ name ];\n\n\t}\n\n\tsetAttribute( name, attribute ) {\n\n\t\tthis.attributes[ name ] = attribute;\n\n\t\treturn this;\n\n\t}\n\n\tdeleteAttribute( name ) {\n\n\t\tdelete this.attributes[ name ];\n\n\t\treturn this;\n\n\t}\n\n\thasAttribute( name ) {\n\n\t\treturn this.attributes[ name ] !== undefined;\n\n\t}\n\n\taddGroup( start, count, materialIndex = 0 ) {\n\n\t\tthis.groups.push( {\n\n\t\t\tstart: start,\n\t\t\tcount: count,\n\t\t\tmaterialIndex: materialIndex\n\n\t\t} );\n\n\t}\n\n\tclearGroups() {\n\n\t\tthis.groups = [];\n\n\t}\n\n\tsetDrawRange( start, count ) {\n\n\t\tthis.drawRange.start = start;\n\t\tthis.drawRange.count = count;\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tconst position = this.attributes.position;\n\n\t\tif ( position !== undefined ) {\n\n\t\t\tposition.applyMatrix4( matrix );\n\n\t\t\tposition.needsUpdate = true;\n\n\t\t}\n\n\t\tconst normal = this.attributes.normal;\n\n\t\tif ( normal !== undefined ) {\n\n\t\t\tconst normalMatrix = new Matrix3().getNormalMatrix( matrix );\n\n\t\t\tnormal.applyNormalMatrix( normalMatrix );\n\n\t\t\tnormal.needsUpdate = true;\n\n\t\t}\n\n\t\tconst tangent = this.attributes.tangent;\n\n\t\tif ( tangent !== undefined ) {\n\n\t\t\ttangent.transformDirection( matrix );\n\n\t\t\ttangent.needsUpdate = true;\n\n\t\t}\n\n\t\tif ( this.boundingBox !== null ) {\n\n\t\t\tthis.computeBoundingBox();\n\n\t\t}\n\n\t\tif ( this.boundingSphere !== null ) {\n\n\t\t\tthis.computeBoundingSphere();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyQuaternion( q ) {\n\n\t\t_m1.makeRotationFromQuaternion( q );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateX( angle ) {\n\n\t\t// rotate geometry around world x-axis\n\n\t\t_m1.makeRotationX( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateY( angle ) {\n\n\t\t// rotate geometry around world y-axis\n\n\t\t_m1.makeRotationY( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\trotateZ( angle ) {\n\n\t\t// rotate geometry around world z-axis\n\n\t\t_m1.makeRotationZ( angle );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( x, y, z ) {\n\n\t\t// translate geometry\n\n\t\t_m1.makeTranslation( x, y, z );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\tscale( x, y, z ) {\n\n\t\t// scale geometry\n\n\t\t_m1.makeScale( x, y, z );\n\n\t\tthis.applyMatrix4( _m1 );\n\n\t\treturn this;\n\n\t}\n\n\tlookAt( vector ) {\n\n\t\t_obj.lookAt( vector );\n\n\t\t_obj.updateMatrix();\n\n\t\tthis.applyMatrix4( _obj.matrix );\n\n\t\treturn this;\n\n\t}\n\n\tcenter() {\n\n\t\tthis.computeBoundingBox();\n\n\t\tthis.boundingBox.getCenter( _offset ).negate();\n\n\t\tthis.translate( _offset.x, _offset.y, _offset.z );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tconst position = [];\n\n\t\tfor ( let i = 0, l = points.length; i < l; i ++ ) {\n\n\t\t\tconst point = points[ i ];\n\t\t\tposition.push( point.x, point.y, point.z || 0 );\n\n\t\t}\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( position, 3 ) );\n\n\t\treturn this;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tconst position = this.attributes.position;\n\t\tconst morphAttributesPosition = this.morphAttributes.position;\n\n\t\tif ( position && position.isGLBufferAttribute ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set \"mesh.frustumCulled\" to \"false\".', this );\n\n\t\t\tthis.boundingBox.set(\n\t\t\t\tnew Vector3( - Infinity, - Infinity, - Infinity ),\n\t\t\t\tnew Vector3( + Infinity, + Infinity, + Infinity )\n\t\t\t);\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( position !== undefined ) {\n\n\t\t\tthis.boundingBox.setFromBufferAttribute( position );\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\t_box$2.setFromBufferAttribute( morphAttribute );\n\n\t\t\t\t\tif ( this.morphTargetsRelative ) {\n\n\t\t\t\t\t\t_vector$8.addVectors( this.boundingBox.min, _box$2.min );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _vector$8 );\n\n\t\t\t\t\t\t_vector$8.addVectors( this.boundingBox.max, _box$2.max );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _vector$8 );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _box$2.min );\n\t\t\t\t\t\tthis.boundingBox.expandByPoint( _box$2.max );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthis.boundingBox.makeEmpty();\n\n\t\t}\n\n\t\tif ( isNaN( this.boundingBox.min.x ) || isNaN( this.boundingBox.min.y ) || isNaN( this.boundingBox.min.z ) ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The \"position\" attribute is likely to have NaN values.', this );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tconst position = this.attributes.position;\n\t\tconst morphAttributesPosition = this.morphAttributes.position;\n\n\t\tif ( position && position.isGLBufferAttribute ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set \"mesh.frustumCulled\" to \"false\".', this );\n\n\t\t\tthis.boundingSphere.set( new Vector3(), Infinity );\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( position ) {\n\n\t\t\t// first, find the center of the bounding sphere\n\n\t\t\tconst center = this.boundingSphere.center;\n\n\t\t\t_box$2.setFromBufferAttribute( position );\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\t_boxMorphTargets.setFromBufferAttribute( morphAttribute );\n\n\t\t\t\t\tif ( this.morphTargetsRelative ) {\n\n\t\t\t\t\t\t_vector$8.addVectors( _box$2.min, _boxMorphTargets.min );\n\t\t\t\t\t\t_box$2.expandByPoint( _vector$8 );\n\n\t\t\t\t\t\t_vector$8.addVectors( _box$2.max, _boxMorphTargets.max );\n\t\t\t\t\t\t_box$2.expandByPoint( _vector$8 );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t_box$2.expandByPoint( _boxMorphTargets.min );\n\t\t\t\t\t\t_box$2.expandByPoint( _boxMorphTargets.max );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t_box$2.getCenter( center );\n\n\t\t\t// second, try to find a boundingSphere with a radius smaller than the\n\t\t\t// boundingSphere of the boundingBox: sqrt(3) smaller in the best case\n\n\t\t\tlet maxRadiusSq = 0;\n\n\t\t\tfor ( let i = 0, il = position.count; i < il; i ++ ) {\n\n\t\t\t\t_vector$8.fromBufferAttribute( position, i );\n\n\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( _vector$8 ) );\n\n\t\t\t}\n\n\t\t\t// process morph attributes if present\n\n\t\t\tif ( morphAttributesPosition ) {\n\n\t\t\t\tfor ( let i = 0, il = morphAttributesPosition.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst morphAttribute = morphAttributesPosition[ i ];\n\t\t\t\t\tconst morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t\t\t\tfor ( let j = 0, jl = morphAttribute.count; j < jl; j ++ ) {\n\n\t\t\t\t\t\t_vector$8.fromBufferAttribute( morphAttribute, j );\n\n\t\t\t\t\t\tif ( morphTargetsRelative ) {\n\n\t\t\t\t\t\t\t_offset.fromBufferAttribute( position, j );\n\t\t\t\t\t\t\t_vector$8.add( _offset );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, center.distanceToSquared( _vector$8 ) );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.boundingSphere.radius = Math.sqrt( maxRadiusSq );\n\n\t\t\tif ( isNaN( this.boundingSphere.radius ) ) {\n\n\t\t\t\tconsole.error( 'THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The \"position\" attribute is likely to have NaN values.', this );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcomputeTangents() {\n\n\t\tconst index = this.index;\n\t\tconst attributes = this.attributes;\n\n\t\t// based on http://www.terathon.com/code/tangent.html\n\t\t// (per vertex tangents)\n\n\t\tif ( index === null ||\n\t\t\t attributes.position === undefined ||\n\t\t\t attributes.normal === undefined ||\n\t\t\t attributes.uv === undefined ) {\n\n\t\t\tconsole.error( 'THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst indices = index.array;\n\t\tconst positions = attributes.position.array;\n\t\tconst normals = attributes.normal.array;\n\t\tconst uvs = attributes.uv.array;\n\n\t\tconst nVertices = positions.length / 3;\n\n\t\tif ( this.hasAttribute( 'tangent' ) === false ) {\n\n\t\t\tthis.setAttribute( 'tangent', new BufferAttribute( new Float32Array( 4 * nVertices ), 4 ) );\n\n\t\t}\n\n\t\tconst tangents = this.getAttribute( 'tangent' ).array;\n\n\t\tconst tan1 = [], tan2 = [];\n\n\t\tfor ( let i = 0; i < nVertices; i ++ ) {\n\n\t\t\ttan1[ i ] = new Vector3();\n\t\t\ttan2[ i ] = new Vector3();\n\n\t\t}\n\n\t\tconst vA = new Vector3(),\n\t\t\tvB = new Vector3(),\n\t\t\tvC = new Vector3(),\n\n\t\t\tuvA = new Vector2(),\n\t\t\tuvB = new Vector2(),\n\t\t\tuvC = new Vector2(),\n\n\t\t\tsdir = new Vector3(),\n\t\t\ttdir = new Vector3();\n\n\t\tfunction handleTriangle( a, b, c ) {\n\n\t\t\tvA.fromArray( positions, a * 3 );\n\t\t\tvB.fromArray( positions, b * 3 );\n\t\t\tvC.fromArray( positions, c * 3 );\n\n\t\t\tuvA.fromArray( uvs, a * 2 );\n\t\t\tuvB.fromArray( uvs, b * 2 );\n\t\t\tuvC.fromArray( uvs, c * 2 );\n\n\t\t\tvB.sub( vA );\n\t\t\tvC.sub( vA );\n\n\t\t\tuvB.sub( uvA );\n\t\t\tuvC.sub( uvA );\n\n\t\t\tconst r = 1.0 / ( uvB.x * uvC.y - uvC.x * uvB.y );\n\n\t\t\t// silently ignore degenerate uv triangles having coincident or colinear vertices\n\n\t\t\tif ( ! isFinite( r ) ) return;\n\n\t\t\tsdir.copy( vB ).multiplyScalar( uvC.y ).addScaledVector( vC, - uvB.y ).multiplyScalar( r );\n\t\t\ttdir.copy( vC ).multiplyScalar( uvB.x ).addScaledVector( vB, - uvC.x ).multiplyScalar( r );\n\n\t\t\ttan1[ a ].add( sdir );\n\t\t\ttan1[ b ].add( sdir );\n\t\t\ttan1[ c ].add( sdir );\n\n\t\t\ttan2[ a ].add( tdir );\n\t\t\ttan2[ b ].add( tdir );\n\t\t\ttan2[ c ].add( tdir );\n\n\t\t}\n\n\t\tlet groups = this.groups;\n\n\t\tif ( groups.length === 0 ) {\n\n\t\t\tgroups = [ {\n\t\t\t\tstart: 0,\n\t\t\t\tcount: indices.length\n\t\t\t} ];\n\n\t\t}\n\n\t\tfor ( let i = 0, il = groups.length; i < il; ++ i ) {\n\n\t\t\tconst group = groups[ i ];\n\n\t\t\tconst start = group.start;\n\t\t\tconst count = group.count;\n\n\t\t\tfor ( let j = start, jl = start + count; j < jl; j += 3 ) {\n\n\t\t\t\thandleTriangle(\n\t\t\t\t\tindices[ j + 0 ],\n\t\t\t\t\tindices[ j + 1 ],\n\t\t\t\t\tindices[ j + 2 ]\n\t\t\t\t);\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst tmp = new Vector3(), tmp2 = new Vector3();\n\t\tconst n = new Vector3(), n2 = new Vector3();\n\n\t\tfunction handleVertex( v ) {\n\n\t\t\tn.fromArray( normals, v * 3 );\n\t\t\tn2.copy( n );\n\n\t\t\tconst t = tan1[ v ];\n\n\t\t\t// Gram-Schmidt orthogonalize\n\n\t\t\ttmp.copy( t );\n\t\t\ttmp.sub( n.multiplyScalar( n.dot( t ) ) ).normalize();\n\n\t\t\t// Calculate handedness\n\n\t\t\ttmp2.crossVectors( n2, t );\n\t\t\tconst test = tmp2.dot( tan2[ v ] );\n\t\t\tconst w = ( test < 0.0 ) ? - 1.0 : 1.0;\n\n\t\t\ttangents[ v * 4 ] = tmp.x;\n\t\t\ttangents[ v * 4 + 1 ] = tmp.y;\n\t\t\ttangents[ v * 4 + 2 ] = tmp.z;\n\t\t\ttangents[ v * 4 + 3 ] = w;\n\n\t\t}\n\n\t\tfor ( let i = 0, il = groups.length; i < il; ++ i ) {\n\n\t\t\tconst group = groups[ i ];\n\n\t\t\tconst start = group.start;\n\t\t\tconst count = group.count;\n\n\t\t\tfor ( let j = start, jl = start + count; j < jl; j += 3 ) {\n\n\t\t\t\thandleVertex( indices[ j + 0 ] );\n\t\t\t\thandleVertex( indices[ j + 1 ] );\n\t\t\t\thandleVertex( indices[ j + 2 ] );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcomputeVertexNormals() {\n\n\t\tconst index = this.index;\n\t\tconst positionAttribute = this.getAttribute( 'position' );\n\n\t\tif ( positionAttribute !== undefined ) {\n\n\t\t\tlet normalAttribute = this.getAttribute( 'normal' );\n\n\t\t\tif ( normalAttribute === undefined ) {\n\n\t\t\t\tnormalAttribute = new BufferAttribute( new Float32Array( positionAttribute.count * 3 ), 3 );\n\t\t\t\tthis.setAttribute( 'normal', normalAttribute );\n\n\t\t\t} else {\n\n\t\t\t\t// reset existing normals to zero\n\n\t\t\t\tfor ( let i = 0, il = normalAttribute.count; i < il; i ++ ) {\n\n\t\t\t\t\tnormalAttribute.setXYZ( i, 0, 0, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst pA = new Vector3(), pB = new Vector3(), pC = new Vector3();\n\t\t\tconst nA = new Vector3(), nB = new Vector3(), nC = new Vector3();\n\t\t\tconst cb = new Vector3(), ab = new Vector3();\n\n\t\t\t// indexed elements\n\n\t\t\tif ( index ) {\n\n\t\t\t\tfor ( let i = 0, il = index.count; i < il; i += 3 ) {\n\n\t\t\t\t\tconst vA = index.getX( i + 0 );\n\t\t\t\t\tconst vB = index.getX( i + 1 );\n\t\t\t\t\tconst vC = index.getX( i + 2 );\n\n\t\t\t\t\tpA.fromBufferAttribute( positionAttribute, vA );\n\t\t\t\t\tpB.fromBufferAttribute( positionAttribute, vB );\n\t\t\t\t\tpC.fromBufferAttribute( positionAttribute, vC );\n\n\t\t\t\t\tcb.subVectors( pC, pB );\n\t\t\t\t\tab.subVectors( pA, pB );\n\t\t\t\t\tcb.cross( ab );\n\n\t\t\t\t\tnA.fromBufferAttribute( normalAttribute, vA );\n\t\t\t\t\tnB.fromBufferAttribute( normalAttribute, vB );\n\t\t\t\t\tnC.fromBufferAttribute( normalAttribute, vC );\n\n\t\t\t\t\tnA.add( cb );\n\t\t\t\t\tnB.add( cb );\n\t\t\t\t\tnC.add( cb );\n\n\t\t\t\t\tnormalAttribute.setXYZ( vA, nA.x, nA.y, nA.z );\n\t\t\t\t\tnormalAttribute.setXYZ( vB, nB.x, nB.y, nB.z );\n\t\t\t\t\tnormalAttribute.setXYZ( vC, nC.x, nC.y, nC.z );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// non-indexed elements (unconnected triangle soup)\n\n\t\t\t\tfor ( let i = 0, il = positionAttribute.count; i < il; i += 3 ) {\n\n\t\t\t\t\tpA.fromBufferAttribute( positionAttribute, i + 0 );\n\t\t\t\t\tpB.fromBufferAttribute( positionAttribute, i + 1 );\n\t\t\t\t\tpC.fromBufferAttribute( positionAttribute, i + 2 );\n\n\t\t\t\t\tcb.subVectors( pC, pB );\n\t\t\t\t\tab.subVectors( pA, pB );\n\t\t\t\t\tcb.cross( ab );\n\n\t\t\t\t\tnormalAttribute.setXYZ( i + 0, cb.x, cb.y, cb.z );\n\t\t\t\t\tnormalAttribute.setXYZ( i + 1, cb.x, cb.y, cb.z );\n\t\t\t\t\tnormalAttribute.setXYZ( i + 2, cb.x, cb.y, cb.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.normalizeNormals();\n\n\t\t\tnormalAttribute.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tnormalizeNormals() {\n\n\t\tconst normals = this.attributes.normal;\n\n\t\tfor ( let i = 0, il = normals.count; i < il; i ++ ) {\n\n\t\t\t_vector$8.fromBufferAttribute( normals, i );\n\n\t\t\t_vector$8.normalize();\n\n\t\t\tnormals.setXYZ( i, _vector$8.x, _vector$8.y, _vector$8.z );\n\n\t\t}\n\n\t}\n\n\ttoNonIndexed() {\n\n\t\tfunction convertBufferAttribute( attribute, indices ) {\n\n\t\t\tconst array = attribute.array;\n\t\t\tconst itemSize = attribute.itemSize;\n\t\t\tconst normalized = attribute.normalized;\n\n\t\t\tconst array2 = new array.constructor( indices.length * itemSize );\n\n\t\t\tlet index = 0, index2 = 0;\n\n\t\t\tfor ( let i = 0, l = indices.length; i < l; i ++ ) {\n\n\t\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\tindex = indices[ i ] * attribute.data.stride + attribute.offset;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tindex = indices[ i ] * itemSize;\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let j = 0; j < itemSize; j ++ ) {\n\n\t\t\t\t\tarray2[ index2 ++ ] = array[ index ++ ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn new BufferAttribute( array2, itemSize, normalized );\n\n\t\t}\n\n\t\t//\n\n\t\tif ( this.index === null ) {\n\n\t\t\tconsole.warn( 'THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed.' );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tconst geometry2 = new BufferGeometry();\n\n\t\tconst indices = this.index.array;\n\t\tconst attributes = this.attributes;\n\n\t\t// attributes\n\n\t\tfor ( const name in attributes ) {\n\n\t\t\tconst attribute = attributes[ name ];\n\n\t\t\tconst newAttribute = convertBufferAttribute( attribute, indices );\n\n\t\t\tgeometry2.setAttribute( name, newAttribute );\n\n\t\t}\n\n\t\t// morph attributes\n\n\t\tconst morphAttributes = this.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst morphArray = [];\n\t\t\tconst morphAttribute = morphAttributes[ name ]; // morphAttribute: array of Float32BufferAttributes\n\n\t\t\tfor ( let i = 0, il = morphAttribute.length; i < il; i ++ ) {\n\n\t\t\t\tconst attribute = morphAttribute[ i ];\n\n\t\t\t\tconst newAttribute = convertBufferAttribute( attribute, indices );\n\n\t\t\t\tmorphArray.push( newAttribute );\n\n\t\t\t}\n\n\t\t\tgeometry2.morphAttributes[ name ] = morphArray;\n\n\t\t}\n\n\t\tgeometry2.morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t// groups\n\n\t\tconst groups = this.groups;\n\n\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\tconst group = groups[ i ];\n\t\t\tgeometry2.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t}\n\n\t\treturn geometry2;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'BufferGeometry',\n\t\t\t\tgenerator: 'BufferGeometry.toJSON'\n\t\t\t}\n\t\t};\n\n\t\t// standard BufferGeometry serialization\n\n\t\tdata.uuid = this.uuid;\n\t\tdata.type = this.type;\n\t\tif ( this.name !== '' ) data.name = this.name;\n\t\tif ( Object.keys( this.userData ).length > 0 ) data.userData = this.userData;\n\n\t\tif ( this.parameters !== undefined ) {\n\n\t\t\tconst parameters = this.parameters;\n\n\t\t\tfor ( const key in parameters ) {\n\n\t\t\t\tif ( parameters[ key ] !== undefined ) data[ key ] = parameters[ key ];\n\n\t\t\t}\n\n\t\t\treturn data;\n\n\t\t}\n\n\t\t// for simplicity the code assumes attributes are not shared across geometries, see #15811\n\n\t\tdata.data = { attributes: {} };\n\n\t\tconst index = this.index;\n\n\t\tif ( index !== null ) {\n\n\t\t\tdata.data.index = {\n\t\t\t\ttype: index.array.constructor.name,\n\t\t\t\tarray: Array.prototype.slice.call( index.array )\n\t\t\t};\n\n\t\t}\n\n\t\tconst attributes = this.attributes;\n\n\t\tfor ( const key in attributes ) {\n\n\t\t\tconst attribute = attributes[ key ];\n\n\t\t\tdata.data.attributes[ key ] = attribute.toJSON( data.data );\n\n\t\t}\n\n\t\tconst morphAttributes = {};\n\t\tlet hasMorphAttributes = false;\n\n\t\tfor ( const key in this.morphAttributes ) {\n\n\t\t\tconst attributeArray = this.morphAttributes[ key ];\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0, il = attributeArray.length; i < il; i ++ ) {\n\n\t\t\t\tconst attribute = attributeArray[ i ];\n\n\t\t\t\tarray.push( attribute.toJSON( data.data ) );\n\n\t\t\t}\n\n\t\t\tif ( array.length > 0 ) {\n\n\t\t\t\tmorphAttributes[ key ] = array;\n\n\t\t\t\thasMorphAttributes = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( hasMorphAttributes ) {\n\n\t\t\tdata.data.morphAttributes = morphAttributes;\n\t\t\tdata.data.morphTargetsRelative = this.morphTargetsRelative;\n\n\t\t}\n\n\t\tconst groups = this.groups;\n\n\t\tif ( groups.length > 0 ) {\n\n\t\t\tdata.data.groups = JSON.parse( JSON.stringify( groups ) );\n\n\t\t}\n\n\t\tconst boundingSphere = this.boundingSphere;\n\n\t\tif ( boundingSphere !== null ) {\n\n\t\t\tdata.data.boundingSphere = {\n\t\t\t\tcenter: boundingSphere.center.toArray(),\n\t\t\t\tradius: boundingSphere.radius\n\t\t\t};\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\t// reset\n\n\t\tthis.index = null;\n\t\tthis.attributes = {};\n\t\tthis.morphAttributes = {};\n\t\tthis.groups = [];\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\t// used for storing cloned, shared data\n\n\t\tconst data = {};\n\n\t\t// name\n\n\t\tthis.name = source.name;\n\n\t\t// index\n\n\t\tconst index = source.index;\n\n\t\tif ( index !== null ) {\n\n\t\t\tthis.setIndex( index.clone( data ) );\n\n\t\t}\n\n\t\t// attributes\n\n\t\tconst attributes = source.attributes;\n\n\t\tfor ( const name in attributes ) {\n\n\t\t\tconst attribute = attributes[ name ];\n\t\t\tthis.setAttribute( name, attribute.clone( data ) );\n\n\t\t}\n\n\t\t// morph attributes\n\n\t\tconst morphAttributes = source.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst array = [];\n\t\t\tconst morphAttribute = morphAttributes[ name ]; // morphAttribute: array of Float32BufferAttributes\n\n\t\t\tfor ( let i = 0, l = morphAttribute.length; i < l; i ++ ) {\n\n\t\t\t\tarray.push( morphAttribute[ i ].clone( data ) );\n\n\t\t\t}\n\n\t\t\tthis.morphAttributes[ name ] = array;\n\n\t\t}\n\n\t\tthis.morphTargetsRelative = source.morphTargetsRelative;\n\n\t\t// groups\n\n\t\tconst groups = source.groups;\n\n\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\tconst group = groups[ i ];\n\t\t\tthis.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t}\n\n\t\t// bounding box\n\n\t\tconst boundingBox = source.boundingBox;\n\n\t\tif ( boundingBox !== null ) {\n\n\t\t\tthis.boundingBox = boundingBox.clone();\n\n\t\t}\n\n\t\t// bounding sphere\n\n\t\tconst boundingSphere = source.boundingSphere;\n\n\t\tif ( boundingSphere !== null ) {\n\n\t\t\tthis.boundingSphere = boundingSphere.clone();\n\n\t\t}\n\n\t\t// draw range\n\n\t\tthis.drawRange.start = source.drawRange.start;\n\t\tthis.drawRange.count = source.drawRange.count;\n\n\t\t// user data\n\n\t\tthis.userData = source.userData;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nconst _inverseMatrix$3 = /*@__PURE__*/ new Matrix4();\nconst _ray$3 = /*@__PURE__*/ new Ray();\nconst _sphere$6 = /*@__PURE__*/ new Sphere();\nconst _sphereHitAt = /*@__PURE__*/ new Vector3();\n\nconst _vA$1 = /*@__PURE__*/ new Vector3();\nconst _vB$1 = /*@__PURE__*/ new Vector3();\nconst _vC$1 = /*@__PURE__*/ new Vector3();\n\nconst _tempA = /*@__PURE__*/ new Vector3();\nconst _morphA = /*@__PURE__*/ new Vector3();\n\nconst _uvA$1 = /*@__PURE__*/ new Vector2();\nconst _uvB$1 = /*@__PURE__*/ new Vector2();\nconst _uvC$1 = /*@__PURE__*/ new Vector2();\n\nconst _normalA = /*@__PURE__*/ new Vector3();\nconst _normalB = /*@__PURE__*/ new Vector3();\nconst _normalC = /*@__PURE__*/ new Vector3();\n\nconst _intersectionPoint = /*@__PURE__*/ new Vector3();\nconst _intersectionPointWorld = /*@__PURE__*/ new Vector3();\n\nclass Mesh extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new MeshBasicMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isMesh = true;\n\n\t\tthis.type = 'Mesh';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.morphTargetInfluences !== undefined ) {\n\n\t\t\tthis.morphTargetInfluences = source.morphTargetInfluences.slice();\n\n\t\t}\n\n\t\tif ( source.morphTargetDictionary !== undefined ) {\n\n\t\t\tthis.morphTargetDictionary = Object.assign( {}, source.morphTargetDictionary );\n\n\t\t}\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tgetVertexPosition( index, target ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst position = geometry.attributes.position;\n\t\tconst morphPosition = geometry.morphAttributes.position;\n\t\tconst morphTargetsRelative = geometry.morphTargetsRelative;\n\n\t\ttarget.fromBufferAttribute( position, index );\n\n\t\tconst morphInfluences = this.morphTargetInfluences;\n\n\t\tif ( morphPosition && morphInfluences ) {\n\n\t\t\t_morphA.set( 0, 0, 0 );\n\n\t\t\tfor ( let i = 0, il = morphPosition.length; i < il; i ++ ) {\n\n\t\t\t\tconst influence = morphInfluences[ i ];\n\t\t\t\tconst morphAttribute = morphPosition[ i ];\n\n\t\t\t\tif ( influence === 0 ) continue;\n\n\t\t\t\t_tempA.fromBufferAttribute( morphAttribute, index );\n\n\t\t\t\tif ( morphTargetsRelative ) {\n\n\t\t\t\t\t_morphA.addScaledVector( _tempA, influence );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_morphA.addScaledVector( _tempA.sub( target ), influence );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\ttarget.add( _morphA );\n\n\t\t}\n\n\t\treturn target;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst material = this.material;\n\t\tconst matrixWorld = this.matrixWorld;\n\n\t\tif ( material === undefined ) return;\n\n\t\t// test with bounding sphere in world space\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere$6.copy( geometry.boundingSphere );\n\t\t_sphere$6.applyMatrix4( matrixWorld );\n\n\t\t// check distance from ray origin to bounding sphere\n\n\t\t_ray$3.copy( raycaster.ray ).recast( raycaster.near );\n\n\t\tif ( _sphere$6.containsPoint( _ray$3.origin ) === false ) {\n\n\t\t\tif ( _ray$3.intersectSphere( _sphere$6, _sphereHitAt ) === null ) return;\n\n\t\t\tif ( _ray$3.origin.distanceToSquared( _sphereHitAt ) > ( raycaster.far - raycaster.near ) ** 2 ) return;\n\n\t\t}\n\n\t\t// convert ray to local space of mesh\n\n\t\t_inverseMatrix$3.copy( matrixWorld ).invert();\n\t\t_ray$3.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$3 );\n\n\t\t// test with bounding box in local space\n\n\t\tif ( geometry.boundingBox !== null ) {\n\n\t\t\tif ( _ray$3.intersectsBox( geometry.boundingBox ) === false ) return;\n\n\t\t}\n\n\t\t// test for intersections with geometry\n\n\t\tthis._computeIntersections( raycaster, intersects, _ray$3 );\n\n\t}\n\n\t_computeIntersections( raycaster, intersects, rayLocalSpace ) {\n\n\t\tlet intersection;\n\n\t\tconst geometry = this.geometry;\n\t\tconst material = this.material;\n\n\t\tconst index = geometry.index;\n\t\tconst position = geometry.attributes.position;\n\t\tconst uv = geometry.attributes.uv;\n\t\tconst uv1 = geometry.attributes.uv1;\n\t\tconst normal = geometry.attributes.normal;\n\t\tconst groups = geometry.groups;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\tif ( index !== null ) {\n\n\t\t\t// indexed buffer geometry\n\n\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\tfor ( let i = 0, il = groups.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\tconst start = Math.max( group.start, drawRange.start );\n\t\t\t\t\tconst end = Math.min( index.count, Math.min( ( group.start + group.count ), ( drawRange.start + drawRange.count ) ) );\n\n\t\t\t\t\tfor ( let j = start, jl = end; j < jl; j += 3 ) {\n\n\t\t\t\t\t\tconst a = index.getX( j );\n\t\t\t\t\t\tconst b = index.getX( j + 1 );\n\t\t\t\t\t\tconst c = index.getX( j + 2 );\n\n\t\t\t\t\t\tintersection = checkGeometryIntersection( this, groupMaterial, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\t\tintersection.faceIndex = Math.floor( j / 3 ); // triangle number in indexed buffer semantics\n\t\t\t\t\t\t\tintersection.face.materialIndex = group.materialIndex;\n\t\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\t\tfor ( let i = start, il = end; i < il; i += 3 ) {\n\n\t\t\t\t\tconst a = index.getX( i );\n\t\t\t\t\tconst b = index.getX( i + 1 );\n\t\t\t\t\tconst c = index.getX( i + 2 );\n\n\t\t\t\t\tintersection = checkGeometryIntersection( this, material, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\tintersection.faceIndex = Math.floor( i / 3 ); // triangle number in indexed buffer semantics\n\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else if ( position !== undefined ) {\n\n\t\t\t// non-indexed buffer geometry\n\n\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\tfor ( let i = 0, il = groups.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\tconst start = Math.max( group.start, drawRange.start );\n\t\t\t\t\tconst end = Math.min( position.count, Math.min( ( group.start + group.count ), ( drawRange.start + drawRange.count ) ) );\n\n\t\t\t\t\tfor ( let j = start, jl = end; j < jl; j += 3 ) {\n\n\t\t\t\t\t\tconst a = j;\n\t\t\t\t\t\tconst b = j + 1;\n\t\t\t\t\t\tconst c = j + 2;\n\n\t\t\t\t\t\tintersection = checkGeometryIntersection( this, groupMaterial, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\t\tintersection.faceIndex = Math.floor( j / 3 ); // triangle number in non-indexed buffer semantics\n\t\t\t\t\t\t\tintersection.face.materialIndex = group.materialIndex;\n\t\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\t\tconst end = Math.min( position.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\t\tfor ( let i = start, il = end; i < il; i += 3 ) {\n\n\t\t\t\t\tconst a = i;\n\t\t\t\t\tconst b = i + 1;\n\t\t\t\t\tconst c = i + 2;\n\n\t\t\t\t\tintersection = checkGeometryIntersection( this, material, raycaster, rayLocalSpace, uv, uv1, normal, a, b, c );\n\n\t\t\t\t\tif ( intersection ) {\n\n\t\t\t\t\t\tintersection.faceIndex = Math.floor( i / 3 ); // triangle number in non-indexed buffer semantics\n\t\t\t\t\t\tintersects.push( intersection );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction checkIntersection( object, material, raycaster, ray, pA, pB, pC, point ) {\n\n\tlet intersect;\n\n\tif ( material.side === BackSide ) {\n\n\t\tintersect = ray.intersectTriangle( pC, pB, pA, true, point );\n\n\t} else {\n\n\t\tintersect = ray.intersectTriangle( pA, pB, pC, ( material.side === FrontSide ), point );\n\n\t}\n\n\tif ( intersect === null ) return null;\n\n\t_intersectionPointWorld.copy( point );\n\t_intersectionPointWorld.applyMatrix4( object.matrixWorld );\n\n\tconst distance = raycaster.ray.origin.distanceTo( _intersectionPointWorld );\n\n\tif ( distance < raycaster.near || distance > raycaster.far ) return null;\n\n\treturn {\n\t\tdistance: distance,\n\t\tpoint: _intersectionPointWorld.clone(),\n\t\tobject: object\n\t};\n\n}\n\nfunction checkGeometryIntersection( object, material, raycaster, ray, uv, uv1, normal, a, b, c ) {\n\n\tobject.getVertexPosition( a, _vA$1 );\n\tobject.getVertexPosition( b, _vB$1 );\n\tobject.getVertexPosition( c, _vC$1 );\n\n\tconst intersection = checkIntersection( object, material, raycaster, ray, _vA$1, _vB$1, _vC$1, _intersectionPoint );\n\n\tif ( intersection ) {\n\n\t\tif ( uv ) {\n\n\t\t\t_uvA$1.fromBufferAttribute( uv, a );\n\t\t\t_uvB$1.fromBufferAttribute( uv, b );\n\t\t\t_uvC$1.fromBufferAttribute( uv, c );\n\n\t\t\tintersection.uv = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _uvA$1, _uvB$1, _uvC$1, new Vector2() );\n\n\t\t}\n\n\t\tif ( uv1 ) {\n\n\t\t\t_uvA$1.fromBufferAttribute( uv1, a );\n\t\t\t_uvB$1.fromBufferAttribute( uv1, b );\n\t\t\t_uvC$1.fromBufferAttribute( uv1, c );\n\n\t\t\tintersection.uv1 = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _uvA$1, _uvB$1, _uvC$1, new Vector2() );\n\t\t\tintersection.uv2 = intersection.uv1; // @deprecated, r152\n\n\t\t}\n\n\t\tif ( normal ) {\n\n\t\t\t_normalA.fromBufferAttribute( normal, a );\n\t\t\t_normalB.fromBufferAttribute( normal, b );\n\t\t\t_normalC.fromBufferAttribute( normal, c );\n\n\t\t\tintersection.normal = Triangle.getInterpolation( _intersectionPoint, _vA$1, _vB$1, _vC$1, _normalA, _normalB, _normalC, new Vector3() );\n\n\t\t\tif ( intersection.normal.dot( ray.direction ) > 0 ) {\n\n\t\t\t\tintersection.normal.multiplyScalar( - 1 );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst face = {\n\t\t\ta: a,\n\t\t\tb: b,\n\t\t\tc: c,\n\t\t\tnormal: new Vector3(),\n\t\t\tmaterialIndex: 0\n\t\t};\n\n\t\tTriangle.getNormal( _vA$1, _vB$1, _vC$1, face.normal );\n\n\t\tintersection.face = face;\n\n\t}\n\n\treturn intersection;\n\n}\n\nclass BoxGeometry extends BufferGeometry {\n\n\tconstructor( width = 1, height = 1, depth = 1, widthSegments = 1, heightSegments = 1, depthSegments = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'BoxGeometry';\n\n\t\tthis.parameters = {\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t\tdepth: depth,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\tdepthSegments: depthSegments\n\t\t};\n\n\t\tconst scope = this;\n\n\t\t// segments\n\n\t\twidthSegments = Math.floor( widthSegments );\n\t\theightSegments = Math.floor( heightSegments );\n\t\tdepthSegments = Math.floor( depthSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet numberOfVertices = 0;\n\t\tlet groupStart = 0;\n\n\t\t// build each side of the box geometry\n\n\t\tbuildPlane( 'z', 'y', 'x', - 1, - 1, depth, height, width, depthSegments, heightSegments, 0 ); // px\n\t\tbuildPlane( 'z', 'y', 'x', 1, - 1, depth, height, - width, depthSegments, heightSegments, 1 ); // nx\n\t\tbuildPlane( 'x', 'z', 'y', 1, 1, width, depth, height, widthSegments, depthSegments, 2 ); // py\n\t\tbuildPlane( 'x', 'z', 'y', 1, - 1, width, depth, - height, widthSegments, depthSegments, 3 ); // ny\n\t\tbuildPlane( 'x', 'y', 'z', 1, - 1, width, height, depth, widthSegments, heightSegments, 4 ); // pz\n\t\tbuildPlane( 'x', 'y', 'z', - 1, - 1, width, height, - depth, widthSegments, heightSegments, 5 ); // nz\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\tfunction buildPlane( u, v, w, udir, vdir, width, height, depth, gridX, gridY, materialIndex ) {\n\n\t\t\tconst segmentWidth = width / gridX;\n\t\t\tconst segmentHeight = height / gridY;\n\n\t\t\tconst widthHalf = width / 2;\n\t\t\tconst heightHalf = height / 2;\n\t\t\tconst depthHalf = depth / 2;\n\n\t\t\tconst gridX1 = gridX + 1;\n\t\t\tconst gridY1 = gridY + 1;\n\n\t\t\tlet vertexCounter = 0;\n\t\t\tlet groupCount = 0;\n\n\t\t\tconst vector = new Vector3();\n\n\t\t\t// generate vertices, normals and uvs\n\n\t\t\tfor ( let iy = 0; iy < gridY1; iy ++ ) {\n\n\t\t\t\tconst y = iy * segmentHeight - heightHalf;\n\n\t\t\t\tfor ( let ix = 0; ix < gridX1; ix ++ ) {\n\n\t\t\t\t\tconst x = ix * segmentWidth - widthHalf;\n\n\t\t\t\t\t// set values to correct vector component\n\n\t\t\t\t\tvector[ u ] = x * udir;\n\t\t\t\t\tvector[ v ] = y * vdir;\n\t\t\t\t\tvector[ w ] = depthHalf;\n\n\t\t\t\t\t// now apply vector to vertex buffer\n\n\t\t\t\t\tvertices.push( vector.x, vector.y, vector.z );\n\n\t\t\t\t\t// set values to correct vector component\n\n\t\t\t\t\tvector[ u ] = 0;\n\t\t\t\t\tvector[ v ] = 0;\n\t\t\t\t\tvector[ w ] = depth > 0 ? 1 : - 1;\n\n\t\t\t\t\t// now apply vector to normal buffer\n\n\t\t\t\t\tnormals.push( vector.x, vector.y, vector.z );\n\n\t\t\t\t\t// uvs\n\n\t\t\t\t\tuvs.push( ix / gridX );\n\t\t\t\t\tuvs.push( 1 - ( iy / gridY ) );\n\n\t\t\t\t\t// counters\n\n\t\t\t\t\tvertexCounter += 1;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// indices\n\n\t\t\t// 1. you need three indices to draw a single face\n\t\t\t// 2. a single segment consists of two faces\n\t\t\t// 3. so we need to generate six (2*3) indices per segment\n\n\t\t\tfor ( let iy = 0; iy < gridY; iy ++ ) {\n\n\t\t\t\tfor ( let ix = 0; ix < gridX; ix ++ ) {\n\n\t\t\t\t\tconst a = numberOfVertices + ix + gridX1 * iy;\n\t\t\t\t\tconst b = numberOfVertices + ix + gridX1 * ( iy + 1 );\n\t\t\t\t\tconst c = numberOfVertices + ( ix + 1 ) + gridX1 * ( iy + 1 );\n\t\t\t\t\tconst d = numberOfVertices + ( ix + 1 ) + gridX1 * iy;\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t\t// increase counter\n\n\t\t\t\t\tgroupCount += 6;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, materialIndex );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t\t// update total number of vertices\n\n\t\t\tnumberOfVertices += vertexCounter;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new BoxGeometry( data.width, data.height, data.depth, data.widthSegments, data.heightSegments, data.depthSegments );\n\n\t}\n\n}\n\n/**\n * Uniform Utilities\n */\n\nfunction cloneUniforms( src ) {\n\n\tconst dst = {};\n\n\tfor ( const u in src ) {\n\n\t\tdst[ u ] = {};\n\n\t\tfor ( const p in src[ u ] ) {\n\n\t\t\tconst property = src[ u ][ p ];\n\n\t\t\tif ( property && ( property.isColor ||\n\t\t\t\tproperty.isMatrix3 || property.isMatrix4 ||\n\t\t\t\tproperty.isVector2 || property.isVector3 || property.isVector4 ||\n\t\t\t\tproperty.isTexture || property.isQuaternion ) ) {\n\n\t\t\t\tif ( property.isRenderTargetTexture ) {\n\n\t\t\t\t\tconsole.warn( 'UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms().' );\n\t\t\t\t\tdst[ u ][ p ] = null;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tdst[ u ][ p ] = property.clone();\n\n\t\t\t\t}\n\n\t\t\t} else if ( Array.isArray( property ) ) {\n\n\t\t\t\tdst[ u ][ p ] = property.slice();\n\n\t\t\t} else {\n\n\t\t\t\tdst[ u ][ p ] = property;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\treturn dst;\n\n}\n\nfunction mergeUniforms( uniforms ) {\n\n\tconst merged = {};\n\n\tfor ( let u = 0; u < uniforms.length; u ++ ) {\n\n\t\tconst tmp = cloneUniforms( uniforms[ u ] );\n\n\t\tfor ( const p in tmp ) {\n\n\t\t\tmerged[ p ] = tmp[ p ];\n\n\t\t}\n\n\t}\n\n\treturn merged;\n\n}\n\nfunction cloneUniformsGroups( src ) {\n\n\tconst dst = [];\n\n\tfor ( let u = 0; u < src.length; u ++ ) {\n\n\t\tdst.push( src[ u ].clone() );\n\n\t}\n\n\treturn dst;\n\n}\n\nfunction getUnlitUniformColorSpace( renderer ) {\n\n\tif ( renderer.getRenderTarget() === null ) {\n\n\t\t// https://github.com/mrdoob/three.js/pull/23937#issuecomment-1111067398\n\t\treturn renderer.outputColorSpace;\n\n\t}\n\n\treturn ColorManagement.workingColorSpace;\n\n}\n\n// Legacy\n\nconst UniformsUtils = { clone: cloneUniforms, merge: mergeUniforms };\n\nvar default_vertex = \"void main() {\\n\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\n}\";\n\nvar default_fragment = \"void main() {\\n\\tgl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );\\n}\";\n\nclass ShaderMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isShaderMaterial = true;\n\n\t\tthis.type = 'ShaderMaterial';\n\n\t\tthis.defines = {};\n\t\tthis.uniforms = {};\n\t\tthis.uniformsGroups = [];\n\n\t\tthis.vertexShader = default_vertex;\n\t\tthis.fragmentShader = default_fragment;\n\n\t\tthis.linewidth = 1;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.fog = false; // set to use scene fog\n\t\tthis.lights = false; // set to use scene lights\n\t\tthis.clipping = false; // set to use user-defined clipping planes\n\n\t\tthis.forceSinglePass = true;\n\n\t\tthis.extensions = {\n\t\t\tderivatives: false, // set to use derivatives\n\t\t\tfragDepth: false, // set to use fragment depth values\n\t\t\tdrawBuffers: false, // set to use draw buffers\n\t\t\tshaderTextureLOD: false, // set to use shader texture LOD\n\t\t\tclipCullDistance: false // set to use vertex shader clipping\n\t\t};\n\n\t\t// When rendered geometry doesn't include these attributes but the material does,\n\t\t// use these default values in WebGL. This avoids errors when buffer data is missing.\n\t\tthis.defaultAttributeValues = {\n\t\t\t'color': [ 1, 1, 1 ],\n\t\t\t'uv': [ 0, 0 ],\n\t\t\t'uv1': [ 0, 0 ]\n\t\t};\n\n\t\tthis.index0AttributeName = undefined;\n\t\tthis.uniformsNeedUpdate = false;\n\n\t\tthis.glslVersion = null;\n\n\t\tif ( parameters !== undefined ) {\n\n\t\t\tthis.setValues( parameters );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.fragmentShader = source.fragmentShader;\n\t\tthis.vertexShader = source.vertexShader;\n\n\t\tthis.uniforms = cloneUniforms( source.uniforms );\n\t\tthis.uniformsGroups = cloneUniformsGroups( source.uniformsGroups );\n\n\t\tthis.defines = Object.assign( {}, source.defines );\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\tthis.fog = source.fog;\n\t\tthis.lights = source.lights;\n\t\tthis.clipping = source.clipping;\n\n\t\tthis.extensions = Object.assign( {}, source.extensions );\n\n\t\tthis.glslVersion = source.glslVersion;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.glslVersion = this.glslVersion;\n\t\tdata.uniforms = {};\n\n\t\tfor ( const name in this.uniforms ) {\n\n\t\t\tconst uniform = this.uniforms[ name ];\n\t\t\tconst value = uniform.value;\n\n\t\t\tif ( value && value.isTexture ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 't',\n\t\t\t\t\tvalue: value.toJSON( meta ).uuid\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isColor ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'c',\n\t\t\t\t\tvalue: value.getHex()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector2 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v2',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector3 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v3',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isVector4 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'v4',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isMatrix3 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'm3',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else if ( value && value.isMatrix4 ) {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\ttype: 'm4',\n\t\t\t\t\tvalue: value.toArray()\n\t\t\t\t};\n\n\t\t\t} else {\n\n\t\t\t\tdata.uniforms[ name ] = {\n\t\t\t\t\tvalue: value\n\t\t\t\t};\n\n\t\t\t\t// note: the array variants v2v, v3v, v4v, m4v and tv are not supported so far\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( Object.keys( this.defines ).length > 0 ) data.defines = this.defines;\n\n\t\tdata.vertexShader = this.vertexShader;\n\t\tdata.fragmentShader = this.fragmentShader;\n\n\t\tdata.lights = this.lights;\n\t\tdata.clipping = this.clipping;\n\n\t\tconst extensions = {};\n\n\t\tfor ( const key in this.extensions ) {\n\n\t\t\tif ( this.extensions[ key ] === true ) extensions[ key ] = true;\n\n\t\t}\n\n\t\tif ( Object.keys( extensions ).length > 0 ) data.extensions = extensions;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass Camera extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isCamera = true;\n\n\t\tthis.type = 'Camera';\n\n\t\tthis.matrixWorldInverse = new Matrix4();\n\n\t\tthis.projectionMatrix = new Matrix4();\n\t\tthis.projectionMatrixInverse = new Matrix4();\n\n\t\tthis.coordinateSystem = WebGLCoordinateSystem;\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.matrixWorldInverse.copy( source.matrixWorldInverse );\n\n\t\tthis.projectionMatrix.copy( source.projectionMatrix );\n\t\tthis.projectionMatrixInverse.copy( source.projectionMatrixInverse );\n\n\t\tthis.coordinateSystem = source.coordinateSystem;\n\n\t\treturn this;\n\n\t}\n\n\tgetWorldDirection( target ) {\n\n\t\treturn super.getWorldDirection( target ).negate();\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tthis.matrixWorldInverse.copy( this.matrixWorld ).invert();\n\n\t}\n\n\tupdateWorldMatrix( updateParents, updateChildren ) {\n\n\t\tsuper.updateWorldMatrix( updateParents, updateChildren );\n\n\t\tthis.matrixWorldInverse.copy( this.matrixWorld ).invert();\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass PerspectiveCamera extends Camera {\n\n\tconstructor( fov = 50, aspect = 1, near = 0.1, far = 2000 ) {\n\n\t\tsuper();\n\n\t\tthis.isPerspectiveCamera = true;\n\n\t\tthis.type = 'PerspectiveCamera';\n\n\t\tthis.fov = fov;\n\t\tthis.zoom = 1;\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\t\tthis.focus = 10;\n\n\t\tthis.aspect = aspect;\n\t\tthis.view = null;\n\n\t\tthis.filmGauge = 35;\t// width of the film (default in millimeters)\n\t\tthis.filmOffset = 0;\t// horizontal film offset (same unit as gauge)\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.fov = source.fov;\n\t\tthis.zoom = source.zoom;\n\n\t\tthis.near = source.near;\n\t\tthis.far = source.far;\n\t\tthis.focus = source.focus;\n\n\t\tthis.aspect = source.aspect;\n\t\tthis.view = source.view === null ? null : Object.assign( {}, source.view );\n\n\t\tthis.filmGauge = source.filmGauge;\n\t\tthis.filmOffset = source.filmOffset;\n\n\t\treturn this;\n\n\t}\n\n\t/**\n\t * Sets the FOV by focal length in respect to the current .filmGauge.\n\t *\n\t * The default film gauge is 35, so that the focal length can be specified for\n\t * a 35mm (full frame) camera.\n\t *\n\t * Values for focal length and film gauge must have the same unit.\n\t */\n\tsetFocalLength( focalLength ) {\n\n\t\t/** see {@link http://www.bobatkins.com/photography/technical/field_of_view.html} */\n\t\tconst vExtentSlope = 0.5 * this.getFilmHeight() / focalLength;\n\n\t\tthis.fov = RAD2DEG * 2 * Math.atan( vExtentSlope );\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\t/**\n\t * Calculates the focal length from the current .fov and .filmGauge.\n\t */\n\tgetFocalLength() {\n\n\t\tconst vExtentSlope = Math.tan( DEG2RAD * 0.5 * this.fov );\n\n\t\treturn 0.5 * this.getFilmHeight() / vExtentSlope;\n\n\t}\n\n\tgetEffectiveFOV() {\n\n\t\treturn RAD2DEG * 2 * Math.atan(\n\t\t\tMath.tan( DEG2RAD * 0.5 * this.fov ) / this.zoom );\n\n\t}\n\n\tgetFilmWidth() {\n\n\t\t// film not completely covered in portrait format (aspect < 1)\n\t\treturn this.filmGauge * Math.min( this.aspect, 1 );\n\n\t}\n\n\tgetFilmHeight() {\n\n\t\t// film not completely covered in landscape format (aspect > 1)\n\t\treturn this.filmGauge / Math.max( this.aspect, 1 );\n\n\t}\n\n\t/**\n\t * Sets an offset in a larger frustum. This is useful for multi-window or\n\t * multi-monitor/multi-machine setups.\n\t *\n\t * For example, if you have 3x2 monitors and each monitor is 1920x1080 and\n\t * the monitors are in grid like this\n\t *\n\t * +---+---+---+\n\t * | A | B | C |\n\t * +---+---+---+\n\t * | D | E | F |\n\t * +---+---+---+\n\t *\n\t * then for each monitor you would call it like this\n\t *\n\t * const w = 1920;\n\t * const h = 1080;\n\t * const fullWidth = w * 3;\n\t * const fullHeight = h * 2;\n\t *\n\t * --A--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 0, w, h );\n\t * --B--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 0, w, h );\n\t * --C--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 0, w, h );\n\t * --D--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 0, h * 1, w, h );\n\t * --E--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 1, h * 1, w, h );\n\t * --F--\n\t * camera.setViewOffset( fullWidth, fullHeight, w * 2, h * 1, w, h );\n\t *\n\t * Note there is no reason monitors have to be the same size or in a grid.\n\t */\n\tsetViewOffset( fullWidth, fullHeight, x, y, width, height ) {\n\n\t\tthis.aspect = fullWidth / fullHeight;\n\n\t\tif ( this.view === null ) {\n\n\t\t\tthis.view = {\n\t\t\t\tenabled: true,\n\t\t\t\tfullWidth: 1,\n\t\t\t\tfullHeight: 1,\n\t\t\t\toffsetX: 0,\n\t\t\t\toffsetY: 0,\n\t\t\t\twidth: 1,\n\t\t\t\theight: 1\n\t\t\t};\n\n\t\t}\n\n\t\tthis.view.enabled = true;\n\t\tthis.view.fullWidth = fullWidth;\n\t\tthis.view.fullHeight = fullHeight;\n\t\tthis.view.offsetX = x;\n\t\tthis.view.offsetY = y;\n\t\tthis.view.width = width;\n\t\tthis.view.height = height;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tclearViewOffset() {\n\n\t\tif ( this.view !== null ) {\n\n\t\t\tthis.view.enabled = false;\n\n\t\t}\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tupdateProjectionMatrix() {\n\n\t\tconst near = this.near;\n\t\tlet top = near * Math.tan( DEG2RAD * 0.5 * this.fov ) / this.zoom;\n\t\tlet height = 2 * top;\n\t\tlet width = this.aspect * height;\n\t\tlet left = - 0.5 * width;\n\t\tconst view = this.view;\n\n\t\tif ( this.view !== null && this.view.enabled ) {\n\n\t\t\tconst fullWidth = view.fullWidth,\n\t\t\t\tfullHeight = view.fullHeight;\n\n\t\t\tleft += view.offsetX * width / fullWidth;\n\t\t\ttop -= view.offsetY * height / fullHeight;\n\t\t\twidth *= view.width / fullWidth;\n\t\t\theight *= view.height / fullHeight;\n\n\t\t}\n\n\t\tconst skew = this.filmOffset;\n\t\tif ( skew !== 0 ) left += near * skew / this.getFilmWidth();\n\n\t\tthis.projectionMatrix.makePerspective( left, left + width, top, top - height, near, this.far, this.coordinateSystem );\n\n\t\tthis.projectionMatrixInverse.copy( this.projectionMatrix ).invert();\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.fov = this.fov;\n\t\tdata.object.zoom = this.zoom;\n\n\t\tdata.object.near = this.near;\n\t\tdata.object.far = this.far;\n\t\tdata.object.focus = this.focus;\n\n\t\tdata.object.aspect = this.aspect;\n\n\t\tif ( this.view !== null ) data.object.view = Object.assign( {}, this.view );\n\n\t\tdata.object.filmGauge = this.filmGauge;\n\t\tdata.object.filmOffset = this.filmOffset;\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst fov = - 90; // negative fov is not an error\nconst aspect = 1;\n\nclass CubeCamera extends Object3D {\n\n\tconstructor( near, far, renderTarget ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CubeCamera';\n\n\t\tthis.renderTarget = renderTarget;\n\t\tthis.coordinateSystem = null;\n\t\tthis.activeMipmapLevel = 0;\n\n\t\tconst cameraPX = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPX.layers = this.layers;\n\t\tthis.add( cameraPX );\n\n\t\tconst cameraNX = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNX.layers = this.layers;\n\t\tthis.add( cameraNX );\n\n\t\tconst cameraPY = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPY.layers = this.layers;\n\t\tthis.add( cameraPY );\n\n\t\tconst cameraNY = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNY.layers = this.layers;\n\t\tthis.add( cameraNY );\n\n\t\tconst cameraPZ = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraPZ.layers = this.layers;\n\t\tthis.add( cameraPZ );\n\n\t\tconst cameraNZ = new PerspectiveCamera( fov, aspect, near, far );\n\t\tcameraNZ.layers = this.layers;\n\t\tthis.add( cameraNZ );\n\n\t}\n\n\tupdateCoordinateSystem() {\n\n\t\tconst coordinateSystem = this.coordinateSystem;\n\n\t\tconst cameras = this.children.concat();\n\n\t\tconst [ cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ ] = cameras;\n\n\t\tfor ( const camera of cameras ) this.remove( camera );\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tcameraPX.up.set( 0, 1, 0 );\n\t\t\tcameraPX.lookAt( 1, 0, 0 );\n\n\t\t\tcameraNX.up.set( 0, 1, 0 );\n\t\t\tcameraNX.lookAt( - 1, 0, 0 );\n\n\t\t\tcameraPY.up.set( 0, 0, - 1 );\n\t\t\tcameraPY.lookAt( 0, 1, 0 );\n\n\t\t\tcameraNY.up.set( 0, 0, 1 );\n\t\t\tcameraNY.lookAt( 0, - 1, 0 );\n\n\t\t\tcameraPZ.up.set( 0, 1, 0 );\n\t\t\tcameraPZ.lookAt( 0, 0, 1 );\n\n\t\t\tcameraNZ.up.set( 0, 1, 0 );\n\t\t\tcameraNZ.lookAt( 0, 0, - 1 );\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tcameraPX.up.set( 0, - 1, 0 );\n\t\t\tcameraPX.lookAt( - 1, 0, 0 );\n\n\t\t\tcameraNX.up.set( 0, - 1, 0 );\n\t\t\tcameraNX.lookAt( 1, 0, 0 );\n\n\t\t\tcameraPY.up.set( 0, 0, 1 );\n\t\t\tcameraPY.lookAt( 0, 1, 0 );\n\n\t\t\tcameraNY.up.set( 0, 0, - 1 );\n\t\t\tcameraNY.lookAt( 0, - 1, 0 );\n\n\t\t\tcameraPZ.up.set( 0, - 1, 0 );\n\t\t\tcameraPZ.lookAt( 0, 0, 1 );\n\n\t\t\tcameraNZ.up.set( 0, - 1, 0 );\n\t\t\tcameraNZ.lookAt( 0, 0, - 1 );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\tfor ( const camera of cameras ) {\n\n\t\t\tthis.add( camera );\n\n\t\t\tcamera.updateMatrixWorld();\n\n\t\t}\n\n\t}\n\n\tupdate( renderer, scene ) {\n\n\t\tif ( this.parent === null ) this.updateMatrixWorld();\n\n\t\tconst { renderTarget, activeMipmapLevel } = this;\n\n\t\tif ( this.coordinateSystem !== renderer.coordinateSystem ) {\n\n\t\t\tthis.coordinateSystem = renderer.coordinateSystem;\n\n\t\t\tthis.updateCoordinateSystem();\n\n\t\t}\n\n\t\tconst [ cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ ] = this.children;\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\t\tconst currentActiveCubeFace = renderer.getActiveCubeFace();\n\t\tconst currentActiveMipmapLevel = renderer.getActiveMipmapLevel();\n\n\t\tconst currentXrEnabled = renderer.xr.enabled;\n\n\t\trenderer.xr.enabled = false;\n\n\t\tconst generateMipmaps = renderTarget.texture.generateMipmaps;\n\n\t\trenderTarget.texture.generateMipmaps = false;\n\n\t\trenderer.setRenderTarget( renderTarget, 0, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPX );\n\n\t\trenderer.setRenderTarget( renderTarget, 1, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNX );\n\n\t\trenderer.setRenderTarget( renderTarget, 2, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPY );\n\n\t\trenderer.setRenderTarget( renderTarget, 3, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNY );\n\n\t\trenderer.setRenderTarget( renderTarget, 4, activeMipmapLevel );\n\t\trenderer.render( scene, cameraPZ );\n\n\t\t// mipmaps are generated during the last call of render()\n\t\t// at this point, all sides of the cube render target are defined\n\n\t\trenderTarget.texture.generateMipmaps = generateMipmaps;\n\n\t\trenderer.setRenderTarget( renderTarget, 5, activeMipmapLevel );\n\t\trenderer.render( scene, cameraNZ );\n\n\t\trenderer.setRenderTarget( currentRenderTarget, currentActiveCubeFace, currentActiveMipmapLevel );\n\n\t\trenderer.xr.enabled = currentXrEnabled;\n\n\t\trenderTarget.texture.needsPMREMUpdate = true;\n\n\t}\n\n}\n\nclass CubeTexture extends Texture {\n\n\tconstructor( images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace ) {\n\n\t\timages = images !== undefined ? images : [];\n\t\tmapping = mapping !== undefined ? mapping : CubeReflectionMapping;\n\n\t\tsuper( images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isCubeTexture = true;\n\n\t\tthis.flipY = false;\n\n\t}\n\n\tget images() {\n\n\t\treturn this.image;\n\n\t}\n\n\tset images( value ) {\n\n\t\tthis.image = value;\n\n\t}\n\n}\n\nclass WebGLCubeRenderTarget extends WebGLRenderTarget {\n\n\tconstructor( size = 1, options = {} ) {\n\n\t\tsuper( size, size, options );\n\n\t\tthis.isWebGLCubeRenderTarget = true;\n\n\t\tconst image = { width: size, height: size, depth: 1 };\n\t\tconst images = [ image, image, image, image, image, image ];\n\n\t\tif ( options.encoding !== undefined ) {\n\n\t\t\t// @deprecated, r152\n\t\t\twarnOnce( 'THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace.' );\n\t\t\toptions.colorSpace = options.encoding === sRGBEncoding ? SRGBColorSpace : NoColorSpace;\n\n\t\t}\n\n\t\tthis.texture = new CubeTexture( images, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.colorSpace );\n\n\t\t// By convention -- likely based on the RenderMan spec from the 1990's -- cube maps are specified by WebGL (and three.js)\n\t\t// in a coordinate system in which positive-x is to the right when looking up the positive-z axis -- in other words,\n\t\t// in a left-handed coordinate system. By continuing this convention, preexisting cube maps continued to render correctly.\n\n\t\t// three.js uses a right-handed coordinate system. So environment maps used in three.js appear to have px and nx swapped\n\t\t// and the flag isRenderTargetTexture controls this conversion. The flip is not required when using WebGLCubeRenderTarget.texture\n\t\t// as a cube texture (this is detected when isRenderTargetTexture is set to true for cube textures).\n\n\t\tthis.texture.isRenderTargetTexture = true;\n\n\t\tthis.texture.generateMipmaps = options.generateMipmaps !== undefined ? options.generateMipmaps : false;\n\t\tthis.texture.minFilter = options.minFilter !== undefined ? options.minFilter : LinearFilter;\n\n\t}\n\n\tfromEquirectangularTexture( renderer, texture ) {\n\n\t\tthis.texture.type = texture.type;\n\t\tthis.texture.colorSpace = texture.colorSpace;\n\n\t\tthis.texture.generateMipmaps = texture.generateMipmaps;\n\t\tthis.texture.minFilter = texture.minFilter;\n\t\tthis.texture.magFilter = texture.magFilter;\n\n\t\tconst shader = {\n\n\t\t\tuniforms: {\n\t\t\t\ttEquirect: { value: null },\n\t\t\t},\n\n\t\t\tvertexShader: /* glsl */`\n\n\t\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t\tvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\n\t\t\t\t\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvWorldDirection = transformDirection( position, modelMatrix );\n\n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\n\t\t\t\t}\n\t\t\t`,\n\n\t\t\tfragmentShader: /* glsl */`\n\n\t\t\t\tuniform sampler2D tEquirect;\n\n\t\t\t\tvarying vec3 vWorldDirection;\n\n\t\t\t\t#include \n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvec3 direction = normalize( vWorldDirection );\n\n\t\t\t\t\tvec2 sampleUV = equirectUv( direction );\n\n\t\t\t\t\tgl_FragColor = texture2D( tEquirect, sampleUV );\n\n\t\t\t\t}\n\t\t\t`\n\t\t};\n\n\t\tconst geometry = new BoxGeometry( 5, 5, 5 );\n\n\t\tconst material = new ShaderMaterial( {\n\n\t\t\tname: 'CubemapFromEquirect',\n\n\t\t\tuniforms: cloneUniforms( shader.uniforms ),\n\t\t\tvertexShader: shader.vertexShader,\n\t\t\tfragmentShader: shader.fragmentShader,\n\t\t\tside: BackSide,\n\t\t\tblending: NoBlending\n\n\t\t} );\n\n\t\tmaterial.uniforms.tEquirect.value = texture;\n\n\t\tconst mesh = new Mesh( geometry, material );\n\n\t\tconst currentMinFilter = texture.minFilter;\n\n\t\t// Avoid blurred poles\n\t\tif ( texture.minFilter === LinearMipmapLinearFilter ) texture.minFilter = LinearFilter;\n\n\t\tconst camera = new CubeCamera( 1, 10, this );\n\t\tcamera.update( renderer, mesh );\n\n\t\ttexture.minFilter = currentMinFilter;\n\n\t\tmesh.geometry.dispose();\n\t\tmesh.material.dispose();\n\n\t\treturn this;\n\n\t}\n\n\tclear( renderer, color, depth, stencil ) {\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\trenderer.setRenderTarget( this, i );\n\n\t\t\trenderer.clear( color, depth, stencil );\n\n\t\t}\n\n\t\trenderer.setRenderTarget( currentRenderTarget );\n\n\t}\n\n}\n\nconst _vector1 = /*@__PURE__*/ new Vector3();\nconst _vector2 = /*@__PURE__*/ new Vector3();\nconst _normalMatrix = /*@__PURE__*/ new Matrix3();\n\nclass Plane {\n\n\tconstructor( normal = new Vector3( 1, 0, 0 ), constant = 0 ) {\n\n\t\tthis.isPlane = true;\n\n\t\t// normal is assumed to be normalized\n\n\t\tthis.normal = normal;\n\t\tthis.constant = constant;\n\n\t}\n\n\tset( normal, constant ) {\n\n\t\tthis.normal.copy( normal );\n\t\tthis.constant = constant;\n\n\t\treturn this;\n\n\t}\n\n\tsetComponents( x, y, z, w ) {\n\n\t\tthis.normal.set( x, y, z );\n\t\tthis.constant = w;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromNormalAndCoplanarPoint( normal, point ) {\n\n\t\tthis.normal.copy( normal );\n\t\tthis.constant = - point.dot( this.normal );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCoplanarPoints( a, b, c ) {\n\n\t\tconst normal = _vector1.subVectors( c, b ).cross( _vector2.subVectors( a, b ) ).normalize();\n\n\t\t// Q: should an error be thrown if normal is zero (e.g. degenerate plane)?\n\n\t\tthis.setFromNormalAndCoplanarPoint( normal, a );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( plane ) {\n\n\t\tthis.normal.copy( plane.normal );\n\t\tthis.constant = plane.constant;\n\n\t\treturn this;\n\n\t}\n\n\tnormalize() {\n\n\t\t// Note: will lead to a divide by zero if the plane is invalid.\n\n\t\tconst inverseNormalLength = 1.0 / this.normal.length();\n\t\tthis.normal.multiplyScalar( inverseNormalLength );\n\t\tthis.constant *= inverseNormalLength;\n\n\t\treturn this;\n\n\t}\n\n\tnegate() {\n\n\t\tthis.constant *= - 1;\n\t\tthis.normal.negate();\n\n\t\treturn this;\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.normal.dot( point ) + this.constant;\n\n\t}\n\n\tdistanceToSphere( sphere ) {\n\n\t\treturn this.distanceToPoint( sphere.center ) - sphere.radius;\n\n\t}\n\n\tprojectPoint( point, target ) {\n\n\t\treturn target.copy( point ).addScaledVector( this.normal, - this.distanceToPoint( point ) );\n\n\t}\n\n\tintersectLine( line, target ) {\n\n\t\tconst direction = line.delta( _vector1 );\n\n\t\tconst denominator = this.normal.dot( direction );\n\n\t\tif ( denominator === 0 ) {\n\n\t\t\t// line is coplanar, return origin\n\t\t\tif ( this.distanceToPoint( line.start ) === 0 ) {\n\n\t\t\t\treturn target.copy( line.start );\n\n\t\t\t}\n\n\t\t\t// Unsure if this is the correct method to handle this case.\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst t = - ( line.start.dot( this.normal ) + this.constant ) / denominator;\n\n\t\tif ( t < 0 || t > 1 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn target.copy( line.start ).addScaledVector( direction, t );\n\n\t}\n\n\tintersectsLine( line ) {\n\n\t\t// Note: this tests if a line intersects the plane, not whether it (or its end-points) are coplanar with it.\n\n\t\tconst startSign = this.distanceToPoint( line.start );\n\t\tconst endSign = this.distanceToPoint( line.end );\n\n\t\treturn ( startSign < 0 && endSign > 0 ) || ( endSign < 0 && startSign > 0 );\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\treturn box.intersectsPlane( this );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\treturn sphere.intersectsPlane( this );\n\n\t}\n\n\tcoplanarPoint( target ) {\n\n\t\treturn target.copy( this.normal ).multiplyScalar( - this.constant );\n\n\t}\n\n\tapplyMatrix4( matrix, optionalNormalMatrix ) {\n\n\t\tconst normalMatrix = optionalNormalMatrix || _normalMatrix.getNormalMatrix( matrix );\n\n\t\tconst referencePoint = this.coplanarPoint( _vector1 ).applyMatrix4( matrix );\n\n\t\tconst normal = this.normal.applyMatrix3( normalMatrix ).normalize();\n\n\t\tthis.constant = - referencePoint.dot( normal );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.constant -= offset.dot( this.normal );\n\n\t\treturn this;\n\n\t}\n\n\tequals( plane ) {\n\n\t\treturn plane.normal.equals( this.normal ) && ( plane.constant === this.constant );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _sphere$5 = /*@__PURE__*/ new Sphere();\nconst _vector$7 = /*@__PURE__*/ new Vector3();\n\nclass Frustum {\n\n\tconstructor( p0 = new Plane(), p1 = new Plane(), p2 = new Plane(), p3 = new Plane(), p4 = new Plane(), p5 = new Plane() ) {\n\n\t\tthis.planes = [ p0, p1, p2, p3, p4, p5 ];\n\n\t}\n\n\tset( p0, p1, p2, p3, p4, p5 ) {\n\n\t\tconst planes = this.planes;\n\n\t\tplanes[ 0 ].copy( p0 );\n\t\tplanes[ 1 ].copy( p1 );\n\t\tplanes[ 2 ].copy( p2 );\n\t\tplanes[ 3 ].copy( p3 );\n\t\tplanes[ 4 ].copy( p4 );\n\t\tplanes[ 5 ].copy( p5 );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( frustum ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tplanes[ i ].copy( frustum.planes[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromProjectionMatrix( m, coordinateSystem = WebGLCoordinateSystem ) {\n\n\t\tconst planes = this.planes;\n\t\tconst me = m.elements;\n\t\tconst me0 = me[ 0 ], me1 = me[ 1 ], me2 = me[ 2 ], me3 = me[ 3 ];\n\t\tconst me4 = me[ 4 ], me5 = me[ 5 ], me6 = me[ 6 ], me7 = me[ 7 ];\n\t\tconst me8 = me[ 8 ], me9 = me[ 9 ], me10 = me[ 10 ], me11 = me[ 11 ];\n\t\tconst me12 = me[ 12 ], me13 = me[ 13 ], me14 = me[ 14 ], me15 = me[ 15 ];\n\n\t\tplanes[ 0 ].setComponents( me3 - me0, me7 - me4, me11 - me8, me15 - me12 ).normalize();\n\t\tplanes[ 1 ].setComponents( me3 + me0, me7 + me4, me11 + me8, me15 + me12 ).normalize();\n\t\tplanes[ 2 ].setComponents( me3 + me1, me7 + me5, me11 + me9, me15 + me13 ).normalize();\n\t\tplanes[ 3 ].setComponents( me3 - me1, me7 - me5, me11 - me9, me15 - me13 ).normalize();\n\t\tplanes[ 4 ].setComponents( me3 - me2, me7 - me6, me11 - me10, me15 - me14 ).normalize();\n\n\t\tif ( coordinateSystem === WebGLCoordinateSystem ) {\n\n\t\t\tplanes[ 5 ].setComponents( me3 + me2, me7 + me6, me11 + me10, me15 + me14 ).normalize();\n\n\t\t} else if ( coordinateSystem === WebGPUCoordinateSystem ) {\n\n\t\t\tplanes[ 5 ].setComponents( me2, me6, me10, me14 ).normalize();\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: ' + coordinateSystem );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tintersectsObject( object ) {\n\n\t\tif ( object.boundingSphere !== undefined ) {\n\n\t\t\tif ( object.boundingSphere === null ) object.computeBoundingSphere();\n\n\t\t\t_sphere$5.copy( object.boundingSphere ).applyMatrix4( object.matrixWorld );\n\n\t\t} else {\n\n\t\t\tconst geometry = object.geometry;\n\n\t\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t\t_sphere$5.copy( geometry.boundingSphere ).applyMatrix4( object.matrixWorld );\n\n\t\t}\n\n\t\treturn this.intersectsSphere( _sphere$5 );\n\n\t}\n\n\tintersectsSprite( sprite ) {\n\n\t\t_sphere$5.center.set( 0, 0, 0 );\n\t\t_sphere$5.radius = 0.7071067811865476;\n\t\t_sphere$5.applyMatrix4( sprite.matrixWorld );\n\n\t\treturn this.intersectsSphere( _sphere$5 );\n\n\t}\n\n\tintersectsSphere( sphere ) {\n\n\t\tconst planes = this.planes;\n\t\tconst center = sphere.center;\n\t\tconst negRadius = - sphere.radius;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst distance = planes[ i ].distanceToPoint( center );\n\n\t\t\tif ( distance < negRadius ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst plane = planes[ i ];\n\n\t\t\t// corner at max distance\n\n\t\t\t_vector$7.x = plane.normal.x > 0 ? box.max.x : box.min.x;\n\t\t\t_vector$7.y = plane.normal.y > 0 ? box.max.y : box.min.y;\n\t\t\t_vector$7.z = plane.normal.z > 0 ? box.max.z : box.min.z;\n\n\t\t\tif ( plane.distanceToPoint( _vector$7 ) < 0 ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\tconst planes = this.planes;\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tif ( planes[ i ].distanceToPoint( point ) < 0 ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nfunction WebGLAnimation() {\n\n\tlet context = null;\n\tlet isAnimating = false;\n\tlet animationLoop = null;\n\tlet requestId = null;\n\n\tfunction onAnimationFrame( time, frame ) {\n\n\t\tanimationLoop( time, frame );\n\n\t\trequestId = context.requestAnimationFrame( onAnimationFrame );\n\n\t}\n\n\treturn {\n\n\t\tstart: function () {\n\n\t\t\tif ( isAnimating === true ) return;\n\t\t\tif ( animationLoop === null ) return;\n\n\t\t\trequestId = context.requestAnimationFrame( onAnimationFrame );\n\n\t\t\tisAnimating = true;\n\n\t\t},\n\n\t\tstop: function () {\n\n\t\t\tcontext.cancelAnimationFrame( requestId );\n\n\t\t\tisAnimating = false;\n\n\t\t},\n\n\t\tsetAnimationLoop: function ( callback ) {\n\n\t\t\tanimationLoop = callback;\n\n\t\t},\n\n\t\tsetContext: function ( value ) {\n\n\t\t\tcontext = value;\n\n\t\t}\n\n\t};\n\n}\n\nfunction WebGLAttributes( gl, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tconst buffers = new WeakMap();\n\n\tfunction createBuffer( attribute, bufferType ) {\n\n\t\tconst array = attribute.array;\n\t\tconst usage = attribute.usage;\n\t\tconst size = array.byteLength;\n\n\t\tconst buffer = gl.createBuffer();\n\n\t\tgl.bindBuffer( bufferType, buffer );\n\t\tgl.bufferData( bufferType, array, usage );\n\n\t\tattribute.onUploadCallback();\n\n\t\tlet type;\n\n\t\tif ( array instanceof Float32Array ) {\n\n\t\t\ttype = gl.FLOAT;\n\n\t\t} else if ( array instanceof Uint16Array ) {\n\n\t\t\tif ( attribute.isFloat16BufferAttribute ) {\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\ttype = gl.HALF_FLOAT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new Error( 'THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.' );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\ttype = gl.UNSIGNED_SHORT;\n\n\t\t\t}\n\n\t\t} else if ( array instanceof Int16Array ) {\n\n\t\t\ttype = gl.SHORT;\n\n\t\t} else if ( array instanceof Uint32Array ) {\n\n\t\t\ttype = gl.UNSIGNED_INT;\n\n\t\t} else if ( array instanceof Int32Array ) {\n\n\t\t\ttype = gl.INT;\n\n\t\t} else if ( array instanceof Int8Array ) {\n\n\t\t\ttype = gl.BYTE;\n\n\t\t} else if ( array instanceof Uint8Array ) {\n\n\t\t\ttype = gl.UNSIGNED_BYTE;\n\n\t\t} else if ( array instanceof Uint8ClampedArray ) {\n\n\t\t\ttype = gl.UNSIGNED_BYTE;\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'THREE.WebGLAttributes: Unsupported buffer data format: ' + array );\n\n\t\t}\n\n\t\treturn {\n\t\t\tbuffer: buffer,\n\t\t\ttype: type,\n\t\t\tbytesPerElement: array.BYTES_PER_ELEMENT,\n\t\t\tversion: attribute.version,\n\t\t\tsize: size\n\t\t};\n\n\t}\n\n\tfunction updateBuffer( buffer, attribute, bufferType ) {\n\n\t\tconst array = attribute.array;\n\t\tconst updateRange = attribute._updateRange; // deprecated\n\t\tconst updateRanges = attribute.updateRanges;\n\n\t\tgl.bindBuffer( bufferType, buffer );\n\n\t\tif ( updateRange.count === - 1 && updateRanges.length === 0 ) {\n\n\t\t\t// Not using update ranges\n\t\t\tgl.bufferSubData( bufferType, 0, array );\n\n\t\t}\n\n\t\tif ( updateRanges.length !== 0 ) {\n\n\t\t\tfor ( let i = 0, l = updateRanges.length; i < l; i ++ ) {\n\n\t\t\t\tconst range = updateRanges[ i ];\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tgl.bufferSubData( bufferType, range.start * array.BYTES_PER_ELEMENT,\n\t\t\t\t\t\tarray, range.start, range.count );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tgl.bufferSubData( bufferType, range.start * array.BYTES_PER_ELEMENT,\n\t\t\t\t\t\tarray.subarray( range.start, range.start + range.count ) );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tattribute.clearUpdateRanges();\n\n\t\t}\n\n\t\t// deprecated\n\t\tif ( updateRange.count !== - 1 ) {\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\tgl.bufferSubData( bufferType, updateRange.offset * array.BYTES_PER_ELEMENT,\n\t\t\t\t\tarray, updateRange.offset, updateRange.count );\n\n\t\t\t} else {\n\n\t\t\t\tgl.bufferSubData( bufferType, updateRange.offset * array.BYTES_PER_ELEMENT,\n\t\t\t\t\tarray.subarray( updateRange.offset, updateRange.offset + updateRange.count ) );\n\n\t\t\t}\n\n\t\t\tupdateRange.count = - 1; // reset range\n\n\t\t}\n\n\t\tattribute.onUploadCallback();\n\n\t}\n\n\t//\n\n\tfunction get( attribute ) {\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\treturn buffers.get( attribute );\n\n\t}\n\n\tfunction remove( attribute ) {\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\tconst data = buffers.get( attribute );\n\n\t\tif ( data ) {\n\n\t\t\tgl.deleteBuffer( data.buffer );\n\n\t\t\tbuffers.delete( attribute );\n\n\t\t}\n\n\t}\n\n\tfunction update( attribute, bufferType ) {\n\n\t\tif ( attribute.isGLBufferAttribute ) {\n\n\t\t\tconst cached = buffers.get( attribute );\n\n\t\t\tif ( ! cached || cached.version < attribute.version ) {\n\n\t\t\t\tbuffers.set( attribute, {\n\t\t\t\t\tbuffer: attribute.buffer,\n\t\t\t\t\ttype: attribute.type,\n\t\t\t\t\tbytesPerElement: attribute.elementSize,\n\t\t\t\t\tversion: attribute.version\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( attribute.isInterleavedBufferAttribute ) attribute = attribute.data;\n\n\t\tconst data = buffers.get( attribute );\n\n\t\tif ( data === undefined ) {\n\n\t\t\tbuffers.set( attribute, createBuffer( attribute, bufferType ) );\n\n\t\t} else if ( data.version < attribute.version ) {\n\n\t\t\tif ( data.size !== attribute.array.byteLength ) {\n\n\t\t\t\tthrow new Error( 'THREE.WebGLAttributes: The size of the buffer attribute\\'s array buffer does not match the original size. Resizing buffer attributes is not supported.' );\n\n\t\t\t}\n\n\t\t\tupdateBuffer( data.buffer, attribute, bufferType );\n\n\t\t\tdata.version = attribute.version;\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\tget: get,\n\t\tremove: remove,\n\t\tupdate: update\n\n\t};\n\n}\n\nclass PlaneGeometry extends BufferGeometry {\n\n\tconstructor( width = 1, height = 1, widthSegments = 1, heightSegments = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'PlaneGeometry';\n\n\t\tthis.parameters = {\n\t\t\twidth: width,\n\t\t\theight: height,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments\n\t\t};\n\n\t\tconst width_half = width / 2;\n\t\tconst height_half = height / 2;\n\n\t\tconst gridX = Math.floor( widthSegments );\n\t\tconst gridY = Math.floor( heightSegments );\n\n\t\tconst gridX1 = gridX + 1;\n\t\tconst gridY1 = gridY + 1;\n\n\t\tconst segment_width = width / gridX;\n\t\tconst segment_height = height / gridY;\n\n\t\t//\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\tfor ( let iy = 0; iy < gridY1; iy ++ ) {\n\n\t\t\tconst y = iy * segment_height - height_half;\n\n\t\t\tfor ( let ix = 0; ix < gridX1; ix ++ ) {\n\n\t\t\t\tconst x = ix * segment_width - width_half;\n\n\t\t\t\tvertices.push( x, - y, 0 );\n\n\t\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t\tuvs.push( ix / gridX );\n\t\t\t\tuvs.push( 1 - ( iy / gridY ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfor ( let iy = 0; iy < gridY; iy ++ ) {\n\n\t\t\tfor ( let ix = 0; ix < gridX; ix ++ ) {\n\n\t\t\t\tconst a = ix + gridX1 * iy;\n\t\t\t\tconst b = ix + gridX1 * ( iy + 1 );\n\t\t\t\tconst c = ( ix + 1 ) + gridX1 * ( iy + 1 );\n\t\t\t\tconst d = ( ix + 1 ) + gridX1 * iy;\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new PlaneGeometry( data.width, data.height, data.widthSegments, data.heightSegments );\n\n\t}\n\n}\n\nvar alphahash_fragment = \"#ifdef USE_ALPHAHASH\\n\\tif ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard;\\n#endif\";\n\nvar alphahash_pars_fragment = \"#ifdef USE_ALPHAHASH\\n\\tconst float ALPHA_HASH_SCALE = 0.05;\\n\\tfloat hash2D( vec2 value ) {\\n\\t\\treturn fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) );\\n\\t}\\n\\tfloat hash3D( vec3 value ) {\\n\\t\\treturn hash2D( vec2( hash2D( value.xy ), value.z ) );\\n\\t}\\n\\tfloat getAlphaHashThreshold( vec3 position ) {\\n\\t\\tfloat maxDeriv = max(\\n\\t\\t\\tlength( dFdx( position.xyz ) ),\\n\\t\\t\\tlength( dFdy( position.xyz ) )\\n\\t\\t);\\n\\t\\tfloat pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv );\\n\\t\\tvec2 pixScales = vec2(\\n\\t\\t\\texp2( floor( log2( pixScale ) ) ),\\n\\t\\t\\texp2( ceil( log2( pixScale ) ) )\\n\\t\\t);\\n\\t\\tvec2 alpha = vec2(\\n\\t\\t\\thash3D( floor( pixScales.x * position.xyz ) ),\\n\\t\\t\\thash3D( floor( pixScales.y * position.xyz ) )\\n\\t\\t);\\n\\t\\tfloat lerpFactor = fract( log2( pixScale ) );\\n\\t\\tfloat x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y;\\n\\t\\tfloat a = min( lerpFactor, 1.0 - lerpFactor );\\n\\t\\tvec3 cases = vec3(\\n\\t\\t\\tx * x / ( 2.0 * a * ( 1.0 - a ) ),\\n\\t\\t\\t( x - 0.5 * a ) / ( 1.0 - a ),\\n\\t\\t\\t1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) )\\n\\t\\t);\\n\\t\\tfloat threshold = ( x < ( 1.0 - a ) )\\n\\t\\t\\t? ( ( x < a ) ? cases.x : cases.y )\\n\\t\\t\\t: cases.z;\\n\\t\\treturn clamp( threshold , 1.0e-6, 1.0 );\\n\\t}\\n#endif\";\n\nvar alphamap_fragment = \"#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g;\\n#endif\";\n\nvar alphamap_pars_fragment = \"#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif\";\n\nvar alphatest_fragment = \"#ifdef USE_ALPHATEST\\n\\tif ( diffuseColor.a < alphaTest ) discard;\\n#endif\";\n\nvar alphatest_pars_fragment = \"#ifdef USE_ALPHATEST\\n\\tuniform float alphaTest;\\n#endif\";\n\nvar aomap_fragment = \"#ifdef USE_AOMAP\\n\\tfloat ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0;\\n\\treflectedLight.indirectDiffuse *= ambientOcclusion;\\n\\t#if defined( USE_CLEARCOAT ) \\n\\t\\tclearcoatSpecularIndirect *= ambientOcclusion;\\n\\t#endif\\n\\t#if defined( USE_SHEEN ) \\n\\t\\tsheenSpecularIndirect *= ambientOcclusion;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD )\\n\\t\\tfloat dotNV = saturate( dot( geometryNormal, geometryViewDir ) );\\n\\t\\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );\\n\\t#endif\\n#endif\";\n\nvar aomap_pars_fragment = \"#ifdef USE_AOMAP\\n\\tuniform sampler2D aoMap;\\n\\tuniform float aoMapIntensity;\\n#endif\";\n\nvar batching_pars_vertex = \"#ifdef USE_BATCHING\\n\\tattribute float batchId;\\n\\tuniform highp sampler2D batchingTexture;\\n\\tmat4 getBatchingMatrix( const in float i ) {\\n\\t\\tint size = textureSize( batchingTexture, 0 ).x;\\n\\t\\tint j = int( i ) * 4;\\n\\t\\tint x = j % size;\\n\\t\\tint y = j / size;\\n\\t\\tvec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 );\\n\\t\\tvec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 );\\n\\t\\tvec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 );\\n\\t\\tvec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 );\\n\\t\\treturn mat4( v1, v2, v3, v4 );\\n\\t}\\n#endif\";\n\nvar batching_vertex = \"#ifdef USE_BATCHING\\n\\tmat4 batchingMatrix = getBatchingMatrix( batchId );\\n#endif\";\n\nvar begin_vertex = \"vec3 transformed = vec3( position );\\n#ifdef USE_ALPHAHASH\\n\\tvPosition = vec3( position );\\n#endif\";\n\nvar beginnormal_vertex = \"vec3 objectNormal = vec3( normal );\\n#ifdef USE_TANGENT\\n\\tvec3 objectTangent = vec3( tangent.xyz );\\n#endif\";\n\nvar bsdfs = \"float G_BlinnPhong_Implicit( ) {\\n\\treturn 0.25;\\n}\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\n\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\n}\\nvec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\tvec3 F = F_Schlick( specularColor, 1.0, dotVH );\\n\\tfloat G = G_BlinnPhong_Implicit( );\\n\\tfloat D = D_BlinnPhong( shininess, dotNH );\\n\\treturn F * ( G * D );\\n} // validated\";\n\nvar iridescence_fragment = \"#ifdef USE_IRIDESCENCE\\n\\tconst mat3 XYZ_TO_REC709 = mat3(\\n\\t\\t 3.2404542, -0.9692660, 0.0556434,\\n\\t\\t-1.5371385, 1.8760108, -0.2040259,\\n\\t\\t-0.4985314, 0.0415560, 1.0572252\\n\\t);\\n\\tvec3 Fresnel0ToIor( vec3 fresnel0 ) {\\n\\t\\tvec3 sqrtF0 = sqrt( fresnel0 );\\n\\t\\treturn ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 );\\n\\t}\\n\\tvec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) {\\n\\t\\treturn pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) );\\n\\t}\\n\\tfloat IorToFresnel0( float transmittedIor, float incidentIor ) {\\n\\t\\treturn pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor ));\\n\\t}\\n\\tvec3 evalSensitivity( float OPD, vec3 shift ) {\\n\\t\\tfloat phase = 2.0 * PI * OPD * 1.0e-9;\\n\\t\\tvec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 );\\n\\t\\tvec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 );\\n\\t\\tvec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 );\\n\\t\\tvec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var );\\n\\t\\txyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) );\\n\\t\\txyz /= 1.0685e-7;\\n\\t\\tvec3 rgb = XYZ_TO_REC709 * xyz;\\n\\t\\treturn rgb;\\n\\t}\\n\\tvec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) {\\n\\t\\tvec3 I;\\n\\t\\tfloat iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) );\\n\\t\\tfloat sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) );\\n\\t\\tfloat cosTheta2Sq = 1.0 - sinTheta2Sq;\\n\\t\\tif ( cosTheta2Sq < 0.0 ) {\\n\\t\\t\\treturn vec3( 1.0 );\\n\\t\\t}\\n\\t\\tfloat cosTheta2 = sqrt( cosTheta2Sq );\\n\\t\\tfloat R0 = IorToFresnel0( iridescenceIOR, outsideIOR );\\n\\t\\tfloat R12 = F_Schlick( R0, 1.0, cosTheta1 );\\n\\t\\tfloat T121 = 1.0 - R12;\\n\\t\\tfloat phi12 = 0.0;\\n\\t\\tif ( iridescenceIOR < outsideIOR ) phi12 = PI;\\n\\t\\tfloat phi21 = PI - phi12;\\n\\t\\tvec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) );\\t\\tvec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR );\\n\\t\\tvec3 R23 = F_Schlick( R1, 1.0, cosTheta2 );\\n\\t\\tvec3 phi23 = vec3( 0.0 );\\n\\t\\tif ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI;\\n\\t\\tif ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI;\\n\\t\\tif ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI;\\n\\t\\tfloat OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2;\\n\\t\\tvec3 phi = vec3( phi21 ) + phi23;\\n\\t\\tvec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 );\\n\\t\\tvec3 r123 = sqrt( R123 );\\n\\t\\tvec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 );\\n\\t\\tvec3 C0 = R12 + Rs;\\n\\t\\tI = C0;\\n\\t\\tvec3 Cm = Rs - T121;\\n\\t\\tfor ( int m = 1; m <= 2; ++ m ) {\\n\\t\\t\\tCm *= r123;\\n\\t\\t\\tvec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi );\\n\\t\\t\\tI += Cm * Sm;\\n\\t\\t}\\n\\t\\treturn max( I, vec3( 0.0 ) );\\n\\t}\\n#endif\";\n\nvar bumpmap_pars_fragment = \"#ifdef USE_BUMPMAP\\n\\tuniform sampler2D bumpMap;\\n\\tuniform float bumpScale;\\n\\tvec2 dHdxy_fwd() {\\n\\t\\tvec2 dSTdx = dFdx( vBumpMapUv );\\n\\t\\tvec2 dSTdy = dFdy( vBumpMapUv );\\n\\t\\tfloat Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x;\\n\\t\\tfloat dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll;\\n\\t\\tfloat dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll;\\n\\t\\treturn vec2( dBx, dBy );\\n\\t}\\n\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {\\n\\t\\tvec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) );\\n\\t\\tvec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) );\\n\\t\\tvec3 vN = surf_norm;\\n\\t\\tvec3 R1 = cross( vSigmaY, vN );\\n\\t\\tvec3 R2 = cross( vN, vSigmaX );\\n\\t\\tfloat fDet = dot( vSigmaX, R1 ) * faceDirection;\\n\\t\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\n\\t\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\n\\t}\\n#endif\";\n\nvar clipping_planes_fragment = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvec4 plane;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\n\\t\\tplane = clippingPlanes[ i ];\\n\\t\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\n\\t\\tbool clipped = true;\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\n\\t\\t\\tplane = clippingPlanes[ i ];\\n\\t\\t\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t\\tif ( clipped ) discard;\\n\\t#endif\\n#endif\";\n\nvar clipping_planes_pars_fragment = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\n#endif\";\n\nvar clipping_planes_pars_vertex = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvarying vec3 vClipPosition;\\n#endif\";\n\nvar clipping_planes_vertex = \"#if NUM_CLIPPING_PLANES > 0\\n\\tvClipPosition = - mvPosition.xyz;\\n#endif\";\n\nvar color_fragment = \"#if defined( USE_COLOR_ALPHA )\\n\\tdiffuseColor *= vColor;\\n#elif defined( USE_COLOR )\\n\\tdiffuseColor.rgb *= vColor;\\n#endif\";\n\nvar color_pars_fragment = \"#if defined( USE_COLOR_ALPHA )\\n\\tvarying vec4 vColor;\\n#elif defined( USE_COLOR )\\n\\tvarying vec3 vColor;\\n#endif\";\n\nvar color_pars_vertex = \"#if defined( USE_COLOR_ALPHA )\\n\\tvarying vec4 vColor;\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\tvarying vec3 vColor;\\n#endif\";\n\nvar color_vertex = \"#if defined( USE_COLOR_ALPHA )\\n\\tvColor = vec4( 1.0 );\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\tvColor = vec3( 1.0 );\\n#endif\\n#ifdef USE_COLOR\\n\\tvColor *= color;\\n#endif\\n#ifdef USE_INSTANCING_COLOR\\n\\tvColor.xyz *= instanceColor.xyz;\\n#endif\";\n\nvar common = \"#define PI 3.141592653589793\\n#define PI2 6.283185307179586\\n#define PI_HALF 1.5707963267948966\\n#define RECIPROCAL_PI 0.3183098861837907\\n#define RECIPROCAL_PI2 0.15915494309189535\\n#define EPSILON 1e-6\\n#ifndef saturate\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\n#define whiteComplement( a ) ( 1.0 - saturate( a ) )\\nfloat pow2( const in float x ) { return x*x; }\\nvec3 pow2( const in vec3 x ) { return x*x; }\\nfloat pow3( const in float x ) { return x*x*x; }\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\nfloat max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\nfloat average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); }\\nhighp float rand( const in vec2 uv ) {\\n\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\n\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\n\\treturn fract( sin( sn ) * c );\\n}\\n#ifdef HIGH_PRECISION\\n\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\n#else\\n\\tfloat precisionSafeLength( vec3 v ) {\\n\\t\\tfloat maxComponent = max3( abs( v ) );\\n\\t\\treturn length( v / maxComponent ) * maxComponent;\\n\\t}\\n#endif\\nstruct IncidentLight {\\n\\tvec3 color;\\n\\tvec3 direction;\\n\\tbool visible;\\n};\\nstruct ReflectedLight {\\n\\tvec3 directDiffuse;\\n\\tvec3 directSpecular;\\n\\tvec3 indirectDiffuse;\\n\\tvec3 indirectSpecular;\\n};\\n#ifdef USE_ALPHAHASH\\n\\tvarying vec3 vPosition;\\n#endif\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n}\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\n\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\n}\\nmat3 transposeMat3( const in mat3 m ) {\\n\\tmat3 tmp;\\n\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\n\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\n\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\n\\treturn tmp;\\n}\\nfloat luminance( const in vec3 rgb ) {\\n\\tconst vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 );\\n\\treturn dot( weights, rgb );\\n}\\nbool isPerspectiveMatrix( mat4 m ) {\\n\\treturn m[ 2 ][ 3 ] == - 1.0;\\n}\\nvec2 equirectUv( in vec3 dir ) {\\n\\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\\n\\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\treturn vec2( u, v );\\n}\\nvec3 BRDF_Lambert( const in vec3 diffuseColor ) {\\n\\treturn RECIPROCAL_PI * diffuseColor;\\n}\\nvec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n}\\nfloat F_Schlick( const in float f0, const in float f90, const in float dotVH ) {\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n} // validated\";\n\nvar cube_uv_reflection_fragment = \"#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t#define cubeUV_minMipLevel 4.0\\n\\t#define cubeUV_minTileSize 16.0\\n\\tfloat getFace( vec3 direction ) {\\n\\t\\tvec3 absDirection = abs( direction );\\n\\t\\tfloat face = - 1.0;\\n\\t\\tif ( absDirection.x > absDirection.z ) {\\n\\t\\t\\tif ( absDirection.x > absDirection.y )\\n\\t\\t\\t\\tface = direction.x > 0.0 ? 0.0 : 3.0;\\n\\t\\t\\telse\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\t\\t} else {\\n\\t\\t\\tif ( absDirection.z > absDirection.y )\\n\\t\\t\\t\\tface = direction.z > 0.0 ? 2.0 : 5.0;\\n\\t\\t\\telse\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\t\\t}\\n\\t\\treturn face;\\n\\t}\\n\\tvec2 getUV( vec3 direction, float face ) {\\n\\t\\tvec2 uv;\\n\\t\\tif ( face == 0.0 ) {\\n\\t\\t\\tuv = vec2( direction.z, direction.y ) / abs( direction.x );\\n\\t\\t} else if ( face == 1.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y );\\n\\t\\t} else if ( face == 2.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, direction.y ) / abs( direction.z );\\n\\t\\t} else if ( face == 3.0 ) {\\n\\t\\t\\tuv = vec2( - direction.z, direction.y ) / abs( direction.x );\\n\\t\\t} else if ( face == 4.0 ) {\\n\\t\\t\\tuv = vec2( - direction.x, direction.z ) / abs( direction.y );\\n\\t\\t} else {\\n\\t\\t\\tuv = vec2( direction.x, direction.y ) / abs( direction.z );\\n\\t\\t}\\n\\t\\treturn 0.5 * ( uv + 1.0 );\\n\\t}\\n\\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\\n\\t\\tfloat face = getFace( direction );\\n\\t\\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\\n\\t\\tmipInt = max( mipInt, cubeUV_minMipLevel );\\n\\t\\tfloat faceSize = exp2( mipInt );\\n\\t\\thighp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0;\\n\\t\\tif ( face > 2.0 ) {\\n\\t\\t\\tuv.y += faceSize;\\n\\t\\t\\tface -= 3.0;\\n\\t\\t}\\n\\t\\tuv.x += face * faceSize;\\n\\t\\tuv.x += filterInt * 3.0 * cubeUV_minTileSize;\\n\\t\\tuv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize );\\n\\t\\tuv.x *= CUBEUV_TEXEL_WIDTH;\\n\\t\\tuv.y *= CUBEUV_TEXEL_HEIGHT;\\n\\t\\t#ifdef texture2DGradEXT\\n\\t\\t\\treturn texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb;\\n\\t\\t#else\\n\\t\\t\\treturn texture2D( envMap, uv ).rgb;\\n\\t\\t#endif\\n\\t}\\n\\t#define cubeUV_r0 1.0\\n\\t#define cubeUV_m0 - 2.0\\n\\t#define cubeUV_r1 0.8\\n\\t#define cubeUV_m1 - 1.0\\n\\t#define cubeUV_r4 0.4\\n\\t#define cubeUV_m4 2.0\\n\\t#define cubeUV_r5 0.305\\n\\t#define cubeUV_m5 3.0\\n\\t#define cubeUV_r6 0.21\\n\\t#define cubeUV_m6 4.0\\n\\tfloat roughnessToMip( float roughness ) {\\n\\t\\tfloat mip = 0.0;\\n\\t\\tif ( roughness >= cubeUV_r1 ) {\\n\\t\\t\\tmip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0;\\n\\t\\t} else if ( roughness >= cubeUV_r4 ) {\\n\\t\\t\\tmip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1;\\n\\t\\t} else if ( roughness >= cubeUV_r5 ) {\\n\\t\\t\\tmip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4;\\n\\t\\t} else if ( roughness >= cubeUV_r6 ) {\\n\\t\\t\\tmip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5;\\n\\t\\t} else {\\n\\t\\t\\tmip = - 2.0 * log2( 1.16 * roughness );\\t\\t}\\n\\t\\treturn mip;\\n\\t}\\n\\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\\n\\t\\tfloat mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP );\\n\\t\\tfloat mipF = fract( mip );\\n\\t\\tfloat mipInt = floor( mip );\\n\\t\\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\\n\\t\\tif ( mipF == 0.0 ) {\\n\\t\\t\\treturn vec4( color0, 1.0 );\\n\\t\\t} else {\\n\\t\\t\\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\\n\\t\\t\\treturn vec4( mix( color0, color1, mipF ), 1.0 );\\n\\t\\t}\\n\\t}\\n#endif\";\n\nvar defaultnormal_vertex = \"vec3 transformedNormal = objectNormal;\\n#ifdef USE_TANGENT\\n\\tvec3 transformedTangent = objectTangent;\\n#endif\\n#ifdef USE_BATCHING\\n\\tmat3 bm = mat3( batchingMatrix );\\n\\ttransformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) );\\n\\ttransformedNormal = bm * transformedNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\ttransformedTangent = bm * transformedTangent;\\n\\t#endif\\n#endif\\n#ifdef USE_INSTANCING\\n\\tmat3 im = mat3( instanceMatrix );\\n\\ttransformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) );\\n\\ttransformedNormal = im * transformedNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\ttransformedTangent = im * transformedTangent;\\n\\t#endif\\n#endif\\ntransformedNormal = normalMatrix * transformedNormal;\\n#ifdef FLIP_SIDED\\n\\ttransformedNormal = - transformedNormal;\\n#endif\\n#ifdef USE_TANGENT\\n\\ttransformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz;\\n\\t#ifdef FLIP_SIDED\\n\\t\\ttransformedTangent = - transformedTangent;\\n\\t#endif\\n#endif\";\n\nvar displacementmap_pars_vertex = \"#ifdef USE_DISPLACEMENTMAP\\n\\tuniform sampler2D displacementMap;\\n\\tuniform float displacementScale;\\n\\tuniform float displacementBias;\\n#endif\";\n\nvar displacementmap_vertex = \"#ifdef USE_DISPLACEMENTMAP\\n\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias );\\n#endif\";\n\nvar emissivemap_fragment = \"#ifdef USE_EMISSIVEMAP\\n\\tvec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv );\\n\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\n#endif\";\n\nvar emissivemap_pars_fragment = \"#ifdef USE_EMISSIVEMAP\\n\\tuniform sampler2D emissiveMap;\\n#endif\";\n\nvar colorspace_fragment = \"gl_FragColor = linearToOutputTexel( gl_FragColor );\";\n\nvar colorspace_pars_fragment = \"\\nconst mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3(\\n\\tvec3( 0.8224621, 0.177538, 0.0 ),\\n\\tvec3( 0.0331941, 0.9668058, 0.0 ),\\n\\tvec3( 0.0170827, 0.0723974, 0.9105199 )\\n);\\nconst mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3(\\n\\tvec3( 1.2249401, - 0.2249404, 0.0 ),\\n\\tvec3( - 0.0420569, 1.0420571, 0.0 ),\\n\\tvec3( - 0.0196376, - 0.0786361, 1.0982735 )\\n);\\nvec4 LinearSRGBToLinearDisplayP3( in vec4 value ) {\\n\\treturn vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a );\\n}\\nvec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) {\\n\\treturn vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a );\\n}\\nvec4 LinearTransferOETF( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 sRGBTransferOETF( in vec4 value ) {\\n\\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\\n}\\nvec4 LinearToLinear( in vec4 value ) {\\n\\treturn value;\\n}\\nvec4 LinearTosRGB( in vec4 value ) {\\n\\treturn sRGBTransferOETF( value );\\n}\";\n\nvar envmap_fragment = \"#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvec3 cameraToFrag;\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#else\\n\\t\\tvec3 reflectVec = vReflect;\\n\\t#endif\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\n\\t#else\\n\\t\\tvec4 envColor = vec4( 0.0 );\\n\\t#endif\\n\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\n\\t\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_MIX )\\n\\t\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\n\\t#elif defined( ENVMAP_BLENDING_ADD )\\n\\t\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\n\\t#endif\\n#endif\";\n\nvar envmap_common_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tuniform float envMapIntensity;\\n\\tuniform float flipEnvMap;\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tuniform samplerCube envMap;\\n\\t#else\\n\\t\\tuniform sampler2D envMap;\\n\\t#endif\\n\\t\\n#endif\";\n\nvar envmap_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tuniform float reflectivity;\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t\\tuniform float refractionRatio;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t#endif\\n#endif\";\n\nvar envmap_pars_vertex = \"#ifdef USE_ENVMAP\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )\\n\\t\\t#define ENV_WORLDPOS\\n\\t#endif\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\t\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t\\tuniform float refractionRatio;\\n\\t#endif\\n#endif\";\n\nvar envmap_vertex = \"#ifdef USE_ENVMAP\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\tvWorldPosition = worldPosition.xyz;\\n\\t#else\\n\\t\\tvec3 cameraToVertex;\\n\\t\\tif ( isOrthographic ) {\\n\\t\\t\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\t\\t} else {\\n\\t\\t\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\n\\t\\t}\\n\\t\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\t\\t\\tvReflect = reflect( cameraToVertex, worldNormal );\\n\\t\\t#else\\n\\t\\t\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar fog_vertex = \"#ifdef USE_FOG\\n\\tvFogDepth = - mvPosition.z;\\n#endif\";\n\nvar fog_pars_vertex = \"#ifdef USE_FOG\\n\\tvarying float vFogDepth;\\n#endif\";\n\nvar fog_fragment = \"#ifdef USE_FOG\\n\\t#ifdef FOG_EXP2\\n\\t\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );\\n\\t#else\\n\\t\\tfloat fogFactor = smoothstep( fogNear, fogFar, vFogDepth );\\n\\t#endif\\n\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\n#endif\";\n\nvar fog_pars_fragment = \"#ifdef USE_FOG\\n\\tuniform vec3 fogColor;\\n\\tvarying float vFogDepth;\\n\\t#ifdef FOG_EXP2\\n\\t\\tuniform float fogDensity;\\n\\t#else\\n\\t\\tuniform float fogNear;\\n\\t\\tuniform float fogFar;\\n\\t#endif\\n#endif\";\n\nvar gradientmap_pars_fragment = \"#ifdef USE_GRADIENTMAP\\n\\tuniform sampler2D gradientMap;\\n#endif\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\n\\tfloat dotNL = dot( normal, lightDirection );\\n\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\n\\t#ifdef USE_GRADIENTMAP\\n\\t\\treturn vec3( texture2D( gradientMap, coord ).r );\\n\\t#else\\n\\t\\tvec2 fw = fwidth( coord ) * 0.5;\\n\\t\\treturn mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) );\\n\\t#endif\\n}\";\n\nvar lightmap_fragment = \"#ifdef USE_LIGHTMAP\\n\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\tvec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;\\n\\treflectedLight.indirectDiffuse += lightMapIrradiance;\\n#endif\";\n\nvar lightmap_pars_fragment = \"#ifdef USE_LIGHTMAP\\n\\tuniform sampler2D lightMap;\\n\\tuniform float lightMapIntensity;\\n#endif\";\n\nvar lights_lambert_fragment = \"LambertMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularStrength = specularStrength;\";\n\nvar lights_lambert_pars_fragment = \"varying vec3 vViewPosition;\\nstruct LambertMaterial {\\n\\tvec3 diffuseColor;\\n\\tfloat specularStrength;\\n};\\nvoid RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Lambert\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Lambert\";\n\nvar lights_pars_begin = \"uniform bool receiveShadow;\\nuniform vec3 ambientLightColor;\\n#if defined( USE_LIGHT_PROBES )\\n\\tuniform vec3 lightProbe[ 9 ];\\n#endif\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\n\\tfloat x = normal.x, y = normal.y, z = normal.z;\\n\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\n\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\n\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\n\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\n\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\n\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\n\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\n\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\n\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\n\\treturn result;\\n}\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {\\n\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\n\\treturn irradiance;\\n}\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\n\\tvec3 irradiance = ambientLightColor;\\n\\treturn irradiance;\\n}\\nfloat getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\n\\t#if defined ( LEGACY_LIGHTS )\\n\\t\\tif ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\n\\t\\t\\treturn pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );\\n\\t\\t}\\n\\t\\treturn 1.0;\\n\\t#else\\n\\t\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\n\\t\\tif ( cutoffDistance > 0.0 ) {\\n\\t\\t\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\n\\t\\t}\\n\\t\\treturn distanceFalloff;\\n\\t#endif\\n}\\nfloat getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {\\n\\treturn smoothstep( coneCosine, penumbraCosine, angleCosine );\\n}\\n#if NUM_DIR_LIGHTS > 0\\n\\tstruct DirectionalLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t};\\n\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\n\\tvoid getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) {\\n\\t\\tlight.color = directionalLight.color;\\n\\t\\tlight.direction = directionalLight.direction;\\n\\t\\tlight.visible = true;\\n\\t}\\n#endif\\n#if NUM_POINT_LIGHTS > 0\\n\\tstruct PointLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t};\\n\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\n\\tvoid getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) {\\n\\t\\tvec3 lVector = pointLight.position - geometryPosition;\\n\\t\\tlight.direction = normalize( lVector );\\n\\t\\tfloat lightDistance = length( lVector );\\n\\t\\tlight.color = pointLight.color;\\n\\t\\tlight.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );\\n\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\t}\\n#endif\\n#if NUM_SPOT_LIGHTS > 0\\n\\tstruct SpotLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t\\tfloat coneCos;\\n\\t\\tfloat penumbraCos;\\n\\t};\\n\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\n\\tvoid getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) {\\n\\t\\tvec3 lVector = spotLight.position - geometryPosition;\\n\\t\\tlight.direction = normalize( lVector );\\n\\t\\tfloat angleCos = dot( light.direction, spotLight.direction );\\n\\t\\tfloat spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\n\\t\\tif ( spotAttenuation > 0.0 ) {\\n\\t\\t\\tfloat lightDistance = length( lVector );\\n\\t\\t\\tlight.color = spotLight.color * spotAttenuation;\\n\\t\\t\\tlight.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );\\n\\t\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\t\\t} else {\\n\\t\\t\\tlight.color = vec3( 0.0 );\\n\\t\\t\\tlight.visible = false;\\n\\t\\t}\\n\\t}\\n#endif\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tstruct RectAreaLight {\\n\\t\\tvec3 color;\\n\\t\\tvec3 position;\\n\\t\\tvec3 halfWidth;\\n\\t\\tvec3 halfHeight;\\n\\t};\\n\\tuniform sampler2D ltc_1;\\tuniform sampler2D ltc_2;\\n\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\n#endif\\n#if NUM_HEMI_LIGHTS > 0\\n\\tstruct HemisphereLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 skyColor;\\n\\t\\tvec3 groundColor;\\n\\t};\\n\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\n\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {\\n\\t\\tfloat dotNL = dot( normal, hemiLight.direction );\\n\\t\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\n\\t\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\n\\t\\treturn irradiance;\\n\\t}\\n#endif\";\n\nvar envmap_physical_pars_fragment = \"#ifdef USE_ENVMAP\\n\\tvec3 getIBLIrradiance( const in vec3 normal ) {\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\n\\t\\t\\treturn PI * envMapColor.rgb * envMapIntensity;\\n\\t\\t#else\\n\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t#endif\\n\\t}\\n\\tvec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {\\n\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\tvec3 reflectVec = reflect( - viewDir, normal );\\n\\t\\t\\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\n\\t\\t\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\n\\t\\t\\treturn envMapColor.rgb * envMapIntensity;\\n\\t\\t#else\\n\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t#endif\\n\\t}\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tvec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) {\\n\\t\\t\\t#ifdef ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\t\\tvec3 bentNormal = cross( bitangent, viewDir );\\n\\t\\t\\t\\tbentNormal = normalize( cross( bentNormal, bitangent ) );\\n\\t\\t\\t\\tbentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) );\\n\\t\\t\\t\\treturn getIBLRadiance( viewDir, bentNormal, roughness );\\n\\t\\t\\t#else\\n\\t\\t\\t\\treturn vec3( 0.0 );\\n\\t\\t\\t#endif\\n\\t\\t}\\n\\t#endif\\n#endif\";\n\nvar lights_toon_fragment = \"ToonMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\";\n\nvar lights_toon_pars_fragment = \"varying vec3 vViewPosition;\\nstruct ToonMaterial {\\n\\tvec3 diffuseColor;\\n};\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tvec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Toon\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Toon\";\n\nvar lights_phong_fragment = \"BlinnPhongMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularColor = specular;\\nmaterial.specularShininess = shininess;\\nmaterial.specularStrength = specularStrength;\";\n\nvar lights_phong_pars_fragment = \"varying vec3 vViewPosition;\\nstruct BlinnPhongMaterial {\\n\\tvec3 diffuseColor;\\n\\tvec3 specularColor;\\n\\tfloat specularShininess;\\n\\tfloat specularStrength;\\n};\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\treflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength;\\n}\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_BlinnPhong\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_BlinnPhong\";\n\nvar lights_physical_fragment = \"PhysicalMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\nvec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) );\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\nmaterial.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;\\nmaterial.roughness = min( material.roughness, 1.0 );\\n#ifdef IOR\\n\\tmaterial.ior = ior;\\n\\t#ifdef USE_SPECULAR\\n\\t\\tfloat specularIntensityFactor = specularIntensity;\\n\\t\\tvec3 specularColorFactor = specularColor;\\n\\t\\t#ifdef USE_SPECULAR_COLORMAP\\n\\t\\t\\tspecularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb;\\n\\t\\t#endif\\n\\t\\t#ifdef USE_SPECULAR_INTENSITYMAP\\n\\t\\t\\tspecularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a;\\n\\t\\t#endif\\n\\t\\tmaterial.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );\\n\\t#else\\n\\t\\tfloat specularIntensityFactor = 1.0;\\n\\t\\tvec3 specularColorFactor = vec3( 1.0 );\\n\\t\\tmaterial.specularF90 = 1.0;\\n\\t#endif\\n\\tmaterial.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );\\n#else\\n\\tmaterial.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );\\n\\tmaterial.specularF90 = 1.0;\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tmaterial.clearcoat = clearcoat;\\n\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\n\\tmaterial.clearcoatF0 = vec3( 0.04 );\\n\\tmaterial.clearcoatF90 = 1.0;\\n\\t#ifdef USE_CLEARCOATMAP\\n\\t\\tmaterial.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\t\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y;\\n\\t#endif\\n\\tmaterial.clearcoat = saturate( material.clearcoat );\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\n\\tmaterial.clearcoatRoughness += geometryRoughness;\\n\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tmaterial.iridescence = iridescence;\\n\\tmaterial.iridescenceIOR = iridescenceIOR;\\n\\t#ifdef USE_IRIDESCENCEMAP\\n\\t\\tmaterial.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r;\\n\\t#endif\\n\\t#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\t\\tmaterial.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum;\\n\\t#else\\n\\t\\tmaterial.iridescenceThickness = iridescenceThicknessMaximum;\\n\\t#endif\\n#endif\\n#ifdef USE_SHEEN\\n\\tmaterial.sheenColor = sheenColor;\\n\\t#ifdef USE_SHEEN_COLORMAP\\n\\t\\tmaterial.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb;\\n\\t#endif\\n\\tmaterial.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );\\n\\t#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\t\\tmaterial.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a;\\n\\t#endif\\n#endif\\n#ifdef USE_ANISOTROPY\\n\\t#ifdef USE_ANISOTROPYMAP\\n\\t\\tmat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x );\\n\\t\\tvec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb;\\n\\t\\tvec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b;\\n\\t#else\\n\\t\\tvec2 anisotropyV = anisotropyVector;\\n\\t#endif\\n\\tmaterial.anisotropy = length( anisotropyV );\\n\\tif( material.anisotropy == 0.0 ) {\\n\\t\\tanisotropyV = vec2( 1.0, 0.0 );\\n\\t} else {\\n\\t\\tanisotropyV /= material.anisotropy;\\n\\t\\tmaterial.anisotropy = saturate( material.anisotropy );\\n\\t}\\n\\tmaterial.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) );\\n\\tmaterial.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y;\\n\\tmaterial.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y;\\n#endif\";\n\nvar lights_physical_pars_fragment = \"struct PhysicalMaterial {\\n\\tvec3 diffuseColor;\\n\\tfloat roughness;\\n\\tvec3 specularColor;\\n\\tfloat specularF90;\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat clearcoat;\\n\\t\\tfloat clearcoatRoughness;\\n\\t\\tvec3 clearcoatF0;\\n\\t\\tfloat clearcoatF90;\\n\\t#endif\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tfloat iridescence;\\n\\t\\tfloat iridescenceIOR;\\n\\t\\tfloat iridescenceThickness;\\n\\t\\tvec3 iridescenceFresnel;\\n\\t\\tvec3 iridescenceF0;\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tvec3 sheenColor;\\n\\t\\tfloat sheenRoughness;\\n\\t#endif\\n\\t#ifdef IOR\\n\\t\\tfloat ior;\\n\\t#endif\\n\\t#ifdef USE_TRANSMISSION\\n\\t\\tfloat transmission;\\n\\t\\tfloat transmissionAlpha;\\n\\t\\tfloat thickness;\\n\\t\\tfloat attenuationDistance;\\n\\t\\tvec3 attenuationColor;\\n\\t#endif\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tfloat anisotropy;\\n\\t\\tfloat alphaT;\\n\\t\\tvec3 anisotropyT;\\n\\t\\tvec3 anisotropyB;\\n\\t#endif\\n};\\nvec3 clearcoatSpecularDirect = vec3( 0.0 );\\nvec3 clearcoatSpecularIndirect = vec3( 0.0 );\\nvec3 sheenSpecularDirect = vec3( 0.0 );\\nvec3 sheenSpecularIndirect = vec3(0.0 );\\nvec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) {\\n float x = clamp( 1.0 - dotVH, 0.0, 1.0 );\\n float x2 = x * x;\\n float x5 = clamp( x * x2 * x2, 0.0, 0.9999 );\\n return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 );\\n}\\nfloat V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\n\\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\n\\treturn 0.5 / max( gv + gl, EPSILON );\\n}\\nfloat D_GGX( const in float alpha, const in float dotNH ) {\\n\\tfloat a2 = pow2( alpha );\\n\\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;\\n\\treturn RECIPROCAL_PI * a2 / pow2( denom );\\n}\\n#ifdef USE_ANISOTROPY\\n\\tfloat V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) {\\n\\t\\tfloat gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) );\\n\\t\\tfloat gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) );\\n\\t\\tfloat v = 0.5 / ( gv + gl );\\n\\t\\treturn saturate(v);\\n\\t}\\n\\tfloat D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) {\\n\\t\\tfloat a2 = alphaT * alphaB;\\n\\t\\thighp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH );\\n\\t\\thighp float v2 = dot( v, v );\\n\\t\\tfloat w2 = a2 / v2;\\n\\t\\treturn RECIPROCAL_PI * a2 * pow2 ( w2 );\\n\\t}\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tvec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) {\\n\\t\\tvec3 f0 = material.clearcoatF0;\\n\\t\\tfloat f90 = material.clearcoatF90;\\n\\t\\tfloat roughness = material.clearcoatRoughness;\\n\\t\\tfloat alpha = pow2( roughness );\\n\\t\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\t\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\t\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\t\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\t\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\t\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\t\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\t\\tfloat D = D_GGX( alpha, dotNH );\\n\\t\\treturn F * ( V * D );\\n\\t}\\n#endif\\nvec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {\\n\\tvec3 f0 = material.specularColor;\\n\\tfloat f90 = material.specularF90;\\n\\tfloat roughness = material.roughness;\\n\\tfloat alpha = pow2( roughness );\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tF = mix( F, material.iridescenceFresnel, material.iridescence );\\n\\t#endif\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tfloat dotTL = dot( material.anisotropyT, lightDir );\\n\\t\\tfloat dotTV = dot( material.anisotropyT, viewDir );\\n\\t\\tfloat dotTH = dot( material.anisotropyT, halfDir );\\n\\t\\tfloat dotBL = dot( material.anisotropyB, lightDir );\\n\\t\\tfloat dotBV = dot( material.anisotropyB, viewDir );\\n\\t\\tfloat dotBH = dot( material.anisotropyB, halfDir );\\n\\t\\tfloat V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL );\\n\\t\\tfloat D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH );\\n\\t#else\\n\\t\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\t\\tfloat D = D_GGX( alpha, dotNH );\\n\\t#endif\\n\\treturn F * ( V * D );\\n}\\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\\n\\tconst float LUT_SIZE = 64.0;\\n\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\n\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\n\\tfloat dotNV = saturate( dot( N, V ) );\\n\\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\\n\\tuv = uv * LUT_SCALE + LUT_BIAS;\\n\\treturn uv;\\n}\\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\\n\\tfloat l = length( f );\\n\\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\\n}\\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\\n\\tfloat x = dot( v1, v2 );\\n\\tfloat y = abs( x );\\n\\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\\n\\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\\n\\tfloat v = a / b;\\n\\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\n\\treturn cross( v1, v2 ) * theta_sintheta;\\n}\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\n\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\n\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\n\\tvec3 lightNormal = cross( v1, v2 );\\n\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\n\\tvec3 T1, T2;\\n\\tT1 = normalize( V - N * dot( V, N ) );\\n\\tT2 = - cross( N, T1 );\\n\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\n\\tvec3 coords[ 4 ];\\n\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\n\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\n\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\n\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\n\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\n\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\n\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\n\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\n\\tvec3 vectorFormFactor = vec3( 0.0 );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\n\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\n\\treturn vec3( result );\\n}\\n#if defined( USE_SHEEN )\\nfloat D_Charlie( float roughness, float dotNH ) {\\n\\tfloat alpha = pow2( roughness );\\n\\tfloat invAlpha = 1.0 / alpha;\\n\\tfloat cos2h = dotNH * dotNH;\\n\\tfloat sin2h = max( 1.0 - cos2h, 0.0078125 );\\n\\treturn ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );\\n}\\nfloat V_Neubelt( float dotNV, float dotNL ) {\\n\\treturn saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );\\n}\\nvec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) {\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat D = D_Charlie( sheenRoughness, dotNH );\\n\\tfloat V = V_Neubelt( dotNV, dotNL );\\n\\treturn sheenColor * ( D * V );\\n}\\n#endif\\nfloat IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat r2 = roughness * roughness;\\n\\tfloat a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95;\\n\\tfloat b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72;\\n\\tfloat DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) );\\n\\treturn saturate( DG * RECIPROCAL_PI );\\n}\\nvec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\n\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\n\\tvec4 r = roughness * c0 + c1;\\n\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\n\\tvec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;\\n\\treturn fab;\\n}\\nvec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\treturn specularColor * fab.x + specularF90 * fab.y;\\n}\\n#ifdef USE_IRIDESCENCE\\nvoid computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n#else\\nvoid computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n#endif\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tvec3 Fr = mix( specularColor, iridescenceF0, iridescence );\\n\\t#else\\n\\t\\tvec3 Fr = specularColor;\\n\\t#endif\\n\\tvec3 FssEss = Fr * fab.x + specularF90 * fab.y;\\n\\tfloat Ess = fab.x + fab.y;\\n\\tfloat Ems = 1.0 - Ess;\\n\\tvec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619;\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\n\\tsingleScatter += FssEss;\\n\\tmultiScatter += Fms * Ems;\\n}\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\t\\tvec3 normal = geometryNormal;\\n\\t\\tvec3 viewDir = geometryViewDir;\\n\\t\\tvec3 position = geometryPosition;\\n\\t\\tvec3 lightPos = rectAreaLight.position;\\n\\t\\tvec3 halfWidth = rectAreaLight.halfWidth;\\n\\t\\tvec3 halfHeight = rectAreaLight.halfHeight;\\n\\t\\tvec3 lightColor = rectAreaLight.color;\\n\\t\\tfloat roughness = material.roughness;\\n\\t\\tvec3 rectCoords[ 4 ];\\n\\t\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight;\\t\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\n\\t\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\n\\t\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\n\\t\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\n\\t\\tvec4 t1 = texture2D( ltc_1, uv );\\n\\t\\tvec4 t2 = texture2D( ltc_2, uv );\\n\\t\\tmat3 mInv = mat3(\\n\\t\\t\\tvec3( t1.x, 0, t1.y ),\\n\\t\\t\\tvec3( 0, 1, 0 ),\\n\\t\\t\\tvec3( t1.z, 0, t1.w )\\n\\t\\t);\\n\\t\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\n\\t\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\n\\t\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\n\\t}\\n#endif\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\tfloat dotNL = saturate( dot( geometryNormal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) );\\n\\t\\tvec3 ccIrradiance = dotNLcc * directLight.color;\\n\\t\\tclearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material );\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tsheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness );\\n\\t#endif\\n\\treflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material );\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tclearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\n\\t#endif\\n\\t#ifdef USE_SHEEN\\n\\t\\tsheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness );\\n\\t#endif\\n\\tvec3 singleScattering = vec3( 0.0 );\\n\\tvec3 multiScattering = vec3( 0.0 );\\n\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\n\\t#ifdef USE_IRIDESCENCE\\n\\t\\tcomputeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering );\\n\\t#else\\n\\t\\tcomputeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );\\n\\t#endif\\n\\tvec3 totalScattering = singleScattering + multiScattering;\\n\\tvec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) );\\n\\treflectedLight.indirectSpecular += radiance * singleScattering;\\n\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\n\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\n}\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Physical\\n#define RE_Direct_RectArea\\t\\tRE_Direct_RectArea_Physical\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Physical\\n#define RE_IndirectSpecular\\t\\tRE_IndirectSpecular_Physical\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\n\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\n}\";\n\nvar lights_fragment_begin = \"\\nvec3 geometryPosition = - vViewPosition;\\nvec3 geometryNormal = normal;\\nvec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\nvec3 geometryClearcoatNormal = vec3( 0.0 );\\n#ifdef USE_CLEARCOAT\\n\\tgeometryClearcoatNormal = clearcoatNormal;\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tfloat dotNVi = saturate( dot( normal, geometryViewDir ) );\\n\\tif ( material.iridescenceThickness == 0.0 ) {\\n\\t\\tmaterial.iridescence = 0.0;\\n\\t} else {\\n\\t\\tmaterial.iridescence = saturate( material.iridescence );\\n\\t}\\n\\tif ( material.iridescence > 0.0 ) {\\n\\t\\tmaterial.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor );\\n\\t\\tmaterial.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi );\\n\\t}\\n#endif\\nIncidentLight directLight;\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tPointLight pointLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\t\\tpointLight = pointLights[ i ];\\n\\t\\tgetPointLightInfo( pointLight, geometryPosition, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\n\\t\\tpointLightShadow = pointLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tSpotLight spotLight;\\n\\tvec4 spotColor;\\n\\tvec3 spotLightCoord;\\n\\tbool inSpotLightMap;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\t\\tspotLight = spotLights[ i ];\\n\\t\\tgetSpotLightInfo( spotLight, geometryPosition, directLight );\\n\\t\\t#if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX\\n\\t\\t#elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS\\n\\t\\t#else\\n\\t\\t#define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )\\n\\t\\t#endif\\n\\t\\t#if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS )\\n\\t\\t\\tspotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w;\\n\\t\\t\\tinSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) );\\n\\t\\t\\tspotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy );\\n\\t\\t\\tdirectLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color;\\n\\t\\t#endif\\n\\t\\t#undef SPOT_LIGHT_MAP_INDEX\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\tspotLightShadow = spotLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\n\\tDirectionalLight directionalLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLightShadow;\\n\\t#endif\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLights[ i ];\\n\\t\\tgetDirectionalLightInfo( directionalLight, directLight );\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\n\\t\\tdirectionalLightShadow = directionalLightShadows[ i ];\\n\\t\\tdirectLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\t\\tRE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\n\\tRectAreaLight rectAreaLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\n\\t\\trectAreaLight = rectAreaLights[ i ];\\n\\t\\tRE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\\n#if defined( RE_IndirectDiffuse )\\n\\tvec3 iblIrradiance = vec3( 0.0 );\\n\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\n\\t#if defined( USE_LIGHT_PROBES )\\n\\t\\tirradiance += getLightProbeIrradiance( lightProbe, geometryNormal );\\n\\t#endif\\n\\t#if ( NUM_HEMI_LIGHTS > 0 )\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\t\\t\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal );\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tvec3 radiance = vec3( 0.0 );\\n\\tvec3 clearcoatRadiance = vec3( 0.0 );\\n#endif\";\n\nvar lights_fragment_maps = \"#if defined( RE_IndirectDiffuse )\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\t\\tvec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;\\n\\t\\tirradiance += lightMapIrradiance;\\n\\t#endif\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tiblIrradiance += getIBLIrradiance( geometryNormal );\\n\\t#endif\\n#endif\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\n\\t#ifdef USE_ANISOTROPY\\n\\t\\tradiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy );\\n\\t#else\\n\\t\\tradiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness );\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tclearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness );\\n\\t#endif\\n#endif\";\n\nvar lights_fragment_end = \"#if defined( RE_IndirectDiffuse )\\n\\tRE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n#endif\\n#if defined( RE_IndirectSpecular )\\n\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );\\n#endif\";\n\nvar logdepthbuf_fragment = \"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\n#endif\";\n\nvar logdepthbuf_pars_fragment = \"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\tuniform float logDepthBufFC;\\n\\tvarying float vFragDepth;\\n\\tvarying float vIsPerspective;\\n#endif\";\n\nvar logdepthbuf_pars_vertex = \"#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvarying float vFragDepth;\\n\\t\\tvarying float vIsPerspective;\\n\\t#else\\n\\t\\tuniform float logDepthBufFC;\\n\\t#endif\\n#endif\";\n\nvar logdepthbuf_vertex = \"#ifdef USE_LOGDEPTHBUF\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\t\\tvFragDepth = 1.0 + gl_Position.w;\\n\\t\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\n\\t#else\\n\\t\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\n\\t\\t\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\n\\t\\t\\tgl_Position.z *= gl_Position.w;\\n\\t\\t}\\n\\t#endif\\n#endif\";\n\nvar map_fragment = \"#ifdef USE_MAP\\n\\tvec4 sampledDiffuseColor = texture2D( map, vMapUv );\\n\\t#ifdef DECODE_VIDEO_TEXTURE\\n\\t\\tsampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w );\\n\\t\\n\\t#endif\\n\\tdiffuseColor *= sampledDiffuseColor;\\n#endif\";\n\nvar map_pars_fragment = \"#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\";\n\nvar map_particle_fragment = \"#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\t#if defined( USE_POINTS_UV )\\n\\t\\tvec2 uv = vUv;\\n\\t#else\\n\\t\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\n\\t#endif\\n#endif\\n#ifdef USE_MAP\\n\\tdiffuseColor *= texture2D( map, uv );\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\n#endif\";\n\nvar map_particle_pars_fragment = \"#if defined( USE_POINTS_UV )\\n\\tvarying vec2 vUv;\\n#else\\n\\t#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\t\\tuniform mat3 uvTransform;\\n\\t#endif\\n#endif\\n#ifdef USE_MAP\\n\\tuniform sampler2D map;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform sampler2D alphaMap;\\n#endif\";\n\nvar metalnessmap_fragment = \"float metalnessFactor = metalness;\\n#ifdef USE_METALNESSMAP\\n\\tvec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv );\\n\\tmetalnessFactor *= texelMetalness.b;\\n#endif\";\n\nvar metalnessmap_pars_fragment = \"#ifdef USE_METALNESSMAP\\n\\tuniform sampler2D metalnessMap;\\n#endif\";\n\nvar morphcolor_vertex = \"#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE )\\n\\tvColor *= morphTargetBaseInfluence;\\n\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t#if defined( USE_COLOR_ALPHA )\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ];\\n\\t\\t#elif defined( USE_COLOR )\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ];\\n\\t\\t#endif\\n\\t}\\n#endif\";\n\nvar morphnormal_vertex = \"#ifdef USE_MORPHNORMALS\\n\\tobjectNormal *= morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ];\\n\\t\\t}\\n\\t#else\\n\\t\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\n\\t\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\n\\t\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\n\\t\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\n\\t#endif\\n#endif\";\n\nvar morphtarget_pars_vertex = \"#ifdef USE_MORPHTARGETS\\n\\tuniform float morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tuniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];\\n\\t\\tuniform sampler2DArray morphTargetsTexture;\\n\\t\\tuniform ivec2 morphTargetsTextureSize;\\n\\t\\tvec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) {\\n\\t\\t\\tint texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset;\\n\\t\\t\\tint y = texelIndex / morphTargetsTextureSize.x;\\n\\t\\t\\tint x = texelIndex - y * morphTargetsTextureSize.x;\\n\\t\\t\\tivec3 morphUV = ivec3( x, y, morphTargetIndex );\\n\\t\\t\\treturn texelFetch( morphTargetsTexture, morphUV, 0 );\\n\\t\\t}\\n\\t#else\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\t\\t\\tuniform float morphTargetInfluences[ 8 ];\\n\\t\\t#else\\n\\t\\t\\tuniform float morphTargetInfluences[ 4 ];\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar morphtarget_vertex = \"#ifdef USE_MORPHTARGETS\\n\\ttransformed *= morphTargetBaseInfluence;\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\t\\t\\tif ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ];\\n\\t\\t}\\n\\t#else\\n\\t\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\n\\t\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\n\\t\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\n\\t\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\t\\t\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\n\\t\\t\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\n\\t\\t\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\n\\t\\t\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\n\\t\\t#endif\\n\\t#endif\\n#endif\";\n\nvar normal_fragment_begin = \"float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;\\n#ifdef FLAT_SHADED\\n\\tvec3 fdx = dFdx( vViewPosition );\\n\\tvec3 fdy = dFdy( vViewPosition );\\n\\tvec3 normal = normalize( cross( fdx, fdy ) );\\n#else\\n\\tvec3 normal = normalize( vNormal );\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal *= faceDirection;\\n\\t#endif\\n#endif\\n#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY )\\n\\t#ifdef USE_TANGENT\\n\\t\\tmat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal );\\n\\t#else\\n\\t\\tmat3 tbn = getTangentFrame( - vViewPosition, normal,\\n\\t\\t#if defined( USE_NORMALMAP )\\n\\t\\t\\tvNormalMapUv\\n\\t\\t#elif defined( USE_CLEARCOAT_NORMALMAP )\\n\\t\\t\\tvClearcoatNormalMapUv\\n\\t\\t#else\\n\\t\\t\\tvUv\\n\\t\\t#endif\\n\\t\\t);\\n\\t#endif\\n\\t#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )\\n\\t\\ttbn[0] *= faceDirection;\\n\\t\\ttbn[1] *= faceDirection;\\n\\t#endif\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\t#ifdef USE_TANGENT\\n\\t\\tmat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal );\\n\\t#else\\n\\t\\tmat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv );\\n\\t#endif\\n\\t#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )\\n\\t\\ttbn2[0] *= faceDirection;\\n\\t\\ttbn2[1] *= faceDirection;\\n\\t#endif\\n#endif\\nvec3 nonPerturbedNormal = normal;\";\n\nvar normal_fragment_maps = \"#ifdef USE_NORMALMAP_OBJECTSPACE\\n\\tnormal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;\\n\\t#ifdef FLIP_SIDED\\n\\t\\tnormal = - normal;\\n\\t#endif\\n\\t#ifdef DOUBLE_SIDED\\n\\t\\tnormal = normal * faceDirection;\\n\\t#endif\\n\\tnormal = normalize( normalMatrix * normal );\\n#elif defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;\\n\\tmapN.xy *= normalScale;\\n\\tnormal = normalize( tbn * mapN );\\n#elif defined( USE_BUMPMAP )\\n\\tnormal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );\\n#endif\";\n\nvar normal_pars_fragment = \"#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\";\n\nvar normal_pars_vertex = \"#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n\\t#ifdef USE_TANGENT\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\t#endif\\n#endif\";\n\nvar normal_vertex = \"#ifndef FLAT_SHADED\\n\\tvNormal = normalize( transformedNormal );\\n\\t#ifdef USE_TANGENT\\n\\t\\tvTangent = normalize( transformedTangent );\\n\\t\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\n\\t#endif\\n#endif\";\n\nvar normalmap_pars_fragment = \"#ifdef USE_NORMALMAP\\n\\tuniform sampler2D normalMap;\\n\\tuniform vec2 normalScale;\\n#endif\\n#ifdef USE_NORMALMAP_OBJECTSPACE\\n\\tuniform mat3 normalMatrix;\\n#endif\\n#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) )\\n\\tmat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) {\\n\\t\\tvec3 q0 = dFdx( eye_pos.xyz );\\n\\t\\tvec3 q1 = dFdy( eye_pos.xyz );\\n\\t\\tvec2 st0 = dFdx( uv.st );\\n\\t\\tvec2 st1 = dFdy( uv.st );\\n\\t\\tvec3 N = surf_norm;\\n\\t\\tvec3 q1perp = cross( q1, N );\\n\\t\\tvec3 q0perp = cross( N, q0 );\\n\\t\\tvec3 T = q1perp * st0.x + q0perp * st1.x;\\n\\t\\tvec3 B = q1perp * st0.y + q0perp * st1.y;\\n\\t\\tfloat det = max( dot( T, T ), dot( B, B ) );\\n\\t\\tfloat scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det );\\n\\t\\treturn mat3( T * scale, B * scale, N );\\n\\t}\\n#endif\";\n\nvar clearcoat_normal_fragment_begin = \"#ifdef USE_CLEARCOAT\\n\\tvec3 clearcoatNormal = nonPerturbedNormal;\\n#endif\";\n\nvar clearcoat_normal_fragment_maps = \"#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0;\\n\\tclearcoatMapN.xy *= clearcoatNormalScale;\\n\\tclearcoatNormal = normalize( tbn2 * clearcoatMapN );\\n#endif\";\n\nvar clearcoat_pars_fragment = \"#ifdef USE_CLEARCOATMAP\\n\\tuniform sampler2D clearcoatMap;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform sampler2D clearcoatNormalMap;\\n\\tuniform vec2 clearcoatNormalScale;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform sampler2D clearcoatRoughnessMap;\\n#endif\";\n\nvar iridescence_pars_fragment = \"#ifdef USE_IRIDESCENCEMAP\\n\\tuniform sampler2D iridescenceMap;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tuniform sampler2D iridescenceThicknessMap;\\n#endif\";\n\nvar opaque_fragment = \"#ifdef OPAQUE\\ndiffuseColor.a = 1.0;\\n#endif\\n#ifdef USE_TRANSMISSION\\ndiffuseColor.a *= material.transmissionAlpha;\\n#endif\\ngl_FragColor = vec4( outgoingLight, diffuseColor.a );\";\n\nvar packing = \"vec3 packNormalToRGB( const in vec3 normal ) {\\n\\treturn normalize( normal ) * 0.5 + 0.5;\\n}\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\n\\treturn 2.0 * rgb.xyz - 1.0;\\n}\\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\nconst float ShiftRight8 = 1. / 256.;\\nvec4 packDepthToRGBA( const in float v ) {\\n\\tvec4 r = vec4( fract( v * PackFactors ), v );\\n\\tr.yzw -= r.xyz * ShiftRight8;\\treturn r * PackUpscale;\\n}\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\n\\treturn dot( v, UnpackFactors );\\n}\\nvec2 packDepthToRG( in highp float v ) {\\n\\treturn packDepthToRGBA( v ).yx;\\n}\\nfloat unpackRGToDepth( const in highp vec2 v ) {\\n\\treturn unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) );\\n}\\nvec4 pack2HalfToRGBA( vec2 v ) {\\n\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );\\n\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );\\n}\\nvec2 unpackRGBATo2Half( vec4 v ) {\\n\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\n}\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( viewZ + near ) / ( near - far );\\n}\\nfloat orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) {\\n\\treturn depth * ( near - far ) - near;\\n}\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );\\n}\\nfloat perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) {\\n\\treturn ( near * far ) / ( ( far - near ) * depth - far );\\n}\";\n\nvar premultiplied_alpha_fragment = \"#ifdef PREMULTIPLIED_ALPHA\\n\\tgl_FragColor.rgb *= gl_FragColor.a;\\n#endif\";\n\nvar project_vertex = \"vec4 mvPosition = vec4( transformed, 1.0 );\\n#ifdef USE_BATCHING\\n\\tmvPosition = batchingMatrix * mvPosition;\\n#endif\\n#ifdef USE_INSTANCING\\n\\tmvPosition = instanceMatrix * mvPosition;\\n#endif\\nmvPosition = modelViewMatrix * mvPosition;\\ngl_Position = projectionMatrix * mvPosition;\";\n\nvar dithering_fragment = \"#ifdef DITHERING\\n\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\n#endif\";\n\nvar dithering_pars_fragment = \"#ifdef DITHERING\\n\\tvec3 dithering( vec3 color ) {\\n\\t\\tfloat grid_position = rand( gl_FragCoord.xy );\\n\\t\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\n\\t\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\n\\t\\treturn color + dither_shift_RGB;\\n\\t}\\n#endif\";\n\nvar roughnessmap_fragment = \"float roughnessFactor = roughness;\\n#ifdef USE_ROUGHNESSMAP\\n\\tvec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv );\\n\\troughnessFactor *= texelRoughness.g;\\n#endif\";\n\nvar roughnessmap_pars_fragment = \"#ifdef USE_ROUGHNESSMAP\\n\\tuniform sampler2D roughnessMap;\\n#endif\";\n\nvar shadowmap_pars_fragment = \"#if NUM_SPOT_LIGHT_COORDS > 0\\n\\tvarying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];\\n#endif\\n#if NUM_SPOT_LIGHT_MAPS > 0\\n\\tuniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ];\\n#endif\\n#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\n\\t\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\n\\t}\\n\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\n\\t\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\n\\t}\\n\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\n\\t\\tfloat occlusion = 1.0;\\n\\t\\tvec2 distribution = texture2DDistribution( shadow, uv );\\n\\t\\tfloat hard_shadow = step( compare , distribution.x );\\n\\t\\tif (hard_shadow != 1.0 ) {\\n\\t\\t\\tfloat distance = compare - distribution.x ;\\n\\t\\t\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\n\\t\\t\\tfloat softness_probability = variance / (variance + distance * distance );\\t\\t\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );\\t\\t\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\n\\t\\t}\\n\\t\\treturn occlusion;\\n\\t}\\n\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\n\\t\\tfloat shadow = 1.0;\\n\\t\\tshadowCoord.xyz /= shadowCoord.w;\\n\\t\\tshadowCoord.z += shadowBias;\\n\\t\\tbool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0;\\n\\t\\tbool frustumTest = inFrustum && shadowCoord.z <= 1.0;\\n\\t\\tif ( frustumTest ) {\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx0 = - texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy0 = - texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx1 = + texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy1 = + texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx2 = dx0 / 2.0;\\n\\t\\t\\tfloat dy2 = dy0 / 2.0;\\n\\t\\t\\tfloat dx3 = dx1 / 2.0;\\n\\t\\t\\tfloat dy3 = dy1 / 2.0;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\n\\t\\t\\t) * ( 1.0 / 17.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx = texelSize.x;\\n\\t\\t\\tfloat dy = texelSize.y;\\n\\t\\t\\tvec2 uv = shadowCoord.xy;\\n\\t\\t\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\n\\t\\t\\tuv -= f * texelSize;\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t f.y )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#elif defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#else\\n\\t\\t\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\t\\t#endif\\n\\t\\t}\\n\\t\\treturn shadow;\\n\\t}\\n\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\n\\t\\tvec3 absV = abs( v );\\n\\t\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\n\\t\\tabsV *= scaleToCube;\\n\\t\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\n\\t\\tvec2 planar = v.xy;\\n\\t\\tfloat almostATexel = 1.5 * texelSizeY;\\n\\t\\tfloat almostOne = 1.0 - almostATexel;\\n\\t\\tif ( absV.z >= almostOne ) {\\n\\t\\t\\tif ( v.z > 0.0 )\\n\\t\\t\\t\\tplanar.x = 4.0 - v.x;\\n\\t\\t} else if ( absV.x >= almostOne ) {\\n\\t\\t\\tfloat signX = sign( v.x );\\n\\t\\t\\tplanar.x = v.z * signX + 2.0 * signX;\\n\\t\\t} else if ( absV.y >= almostOne ) {\\n\\t\\t\\tfloat signY = sign( v.y );\\n\\t\\t\\tplanar.x = v.x + 2.0 * signY + 2.0;\\n\\t\\t\\tplanar.y = v.z * signY - 2.0;\\n\\t\\t}\\n\\t\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\n\\t}\\n\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\n\\t\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\n\\t\\tvec3 lightToPosition = shadowCoord.xyz;\\n\\t\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\\t\\tdp += shadowBias;\\n\\t\\tvec3 bd3D = normalize( lightToPosition );\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\n\\t\\t\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\n\\t\\t\\treturn (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\t\\t#else\\n\\t\\t\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\n\\t\\t#endif\\n\\t}\\n#endif\";\n\nvar shadowmap_pars_vertex = \"#if NUM_SPOT_LIGHT_COORDS > 0\\n\\tuniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ];\\n\\tvarying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];\\n#endif\\n#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t#endif\\n#endif\";\n\nvar shadowmap_vertex = \"#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 )\\n\\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\tvec4 shadowWorldPosition;\\n#endif\\n#if defined( USE_SHADOWMAP )\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\t\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\t\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\t#endif\\n#endif\\n#if NUM_SPOT_LIGHT_COORDS > 0\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) {\\n\\t\\tshadowWorldPosition = worldPosition;\\n\\t\\t#if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\t\\tshadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias;\\n\\t\\t#endif\\n\\t\\tvSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition;\\n\\t}\\n\\t#pragma unroll_loop_end\\n#endif\";\n\nvar shadowmask_pars_fragment = \"float getShadowMask() {\\n\\tfloat shadow = 1.0;\\n\\t#ifdef USE_SHADOWMAP\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tdirectionalLight = directionalLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tspotLight = spotLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLight;\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\t\\tpointLight = pointLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\t#endif\\n\\t#endif\\n\\treturn shadow;\\n}\";\n\nvar skinbase_vertex = \"#ifdef USE_SKINNING\\n\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\n\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\n\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\n\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\n#endif\";\n\nvar skinning_pars_vertex = \"#ifdef USE_SKINNING\\n\\tuniform mat4 bindMatrix;\\n\\tuniform mat4 bindMatrixInverse;\\n\\tuniform highp sampler2D boneTexture;\\n\\tmat4 getBoneMatrix( const in float i ) {\\n\\t\\tint size = textureSize( boneTexture, 0 ).x;\\n\\t\\tint j = int( i ) * 4;\\n\\t\\tint x = j % size;\\n\\t\\tint y = j / size;\\n\\t\\tvec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 );\\n\\t\\tvec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 );\\n\\t\\tvec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 );\\n\\t\\tvec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 );\\n\\t\\treturn mat4( v1, v2, v3, v4 );\\n\\t}\\n#endif\";\n\nvar skinning_vertex = \"#ifdef USE_SKINNING\\n\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\n\\tvec4 skinned = vec4( 0.0 );\\n\\tskinned += boneMatX * skinVertex * skinWeight.x;\\n\\tskinned += boneMatY * skinVertex * skinWeight.y;\\n\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\n\\tskinned += boneMatW * skinVertex * skinWeight.w;\\n\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\n#endif\";\n\nvar skinnormal_vertex = \"#ifdef USE_SKINNING\\n\\tmat4 skinMatrix = mat4( 0.0 );\\n\\tskinMatrix += skinWeight.x * boneMatX;\\n\\tskinMatrix += skinWeight.y * boneMatY;\\n\\tskinMatrix += skinWeight.z * boneMatZ;\\n\\tskinMatrix += skinWeight.w * boneMatW;\\n\\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\\n\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\n\\t#ifdef USE_TANGENT\\n\\t\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\t#endif\\n#endif\";\n\nvar specularmap_fragment = \"float specularStrength;\\n#ifdef USE_SPECULARMAP\\n\\tvec4 texelSpecular = texture2D( specularMap, vSpecularMapUv );\\n\\tspecularStrength = texelSpecular.r;\\n#else\\n\\tspecularStrength = 1.0;\\n#endif\";\n\nvar specularmap_pars_fragment = \"#ifdef USE_SPECULARMAP\\n\\tuniform sampler2D specularMap;\\n#endif\";\n\nvar tonemapping_fragment = \"#if defined( TONE_MAPPING )\\n\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\n#endif\";\n\nvar tonemapping_pars_fragment = \"#ifndef saturate\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\nuniform float toneMappingExposure;\\nvec3 LinearToneMapping( vec3 color ) {\\n\\treturn saturate( toneMappingExposure * color );\\n}\\nvec3 ReinhardToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\n}\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\n\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\n}\\nvec3 RRTAndODTFit( vec3 v ) {\\n\\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\\n\\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\\n\\treturn a / b;\\n}\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\n\\tconst mat3 ACESInputMat = mat3(\\n\\t\\tvec3( 0.59719, 0.07600, 0.02840 ),\\t\\tvec3( 0.35458, 0.90834, 0.13383 ),\\n\\t\\tvec3( 0.04823, 0.01566, 0.83777 )\\n\\t);\\n\\tconst mat3 ACESOutputMat = mat3(\\n\\t\\tvec3( 1.60475, -0.10208, -0.00327 ),\\t\\tvec3( -0.53108, 1.10813, -0.07276 ),\\n\\t\\tvec3( -0.07367, -0.00605, 1.07602 )\\n\\t);\\n\\tcolor *= toneMappingExposure / 0.6;\\n\\tcolor = ACESInputMat * color;\\n\\tcolor = RRTAndODTFit( color );\\n\\tcolor = ACESOutputMat * color;\\n\\treturn saturate( color );\\n}\\nconst mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3(\\n\\tvec3( 1.6605, - 0.1246, - 0.0182 ),\\n\\tvec3( - 0.5876, 1.1329, - 0.1006 ),\\n\\tvec3( - 0.0728, - 0.0083, 1.1187 )\\n);\\nconst mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3(\\n\\tvec3( 0.6274, 0.0691, 0.0164 ),\\n\\tvec3( 0.3293, 0.9195, 0.0880 ),\\n\\tvec3( 0.0433, 0.0113, 0.8956 )\\n);\\nvec3 agxDefaultContrastApprox( vec3 x ) {\\n\\tvec3 x2 = x * x;\\n\\tvec3 x4 = x2 * x2;\\n\\treturn + 15.5 * x4 * x2\\n\\t\\t- 40.14 * x4 * x\\n\\t\\t+ 31.96 * x4\\n\\t\\t- 6.868 * x2 * x\\n\\t\\t+ 0.4298 * x2\\n\\t\\t+ 0.1191 * x\\n\\t\\t- 0.00232;\\n}\\nvec3 AgXToneMapping( vec3 color ) {\\n\\tconst mat3 AgXInsetMatrix = mat3(\\n\\t\\tvec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ),\\n\\t\\tvec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ),\\n\\t\\tvec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 )\\n\\t);\\n\\tconst mat3 AgXOutsetMatrix = mat3(\\n\\t\\tvec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ),\\n\\t\\tvec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ),\\n\\t\\tvec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 )\\n\\t);\\n\\tconst float AgxMinEv = - 12.47393;\\tconst float AgxMaxEv = 4.026069;\\n\\tcolor = LINEAR_SRGB_TO_LINEAR_REC2020 * color;\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = AgXInsetMatrix * color;\\n\\tcolor = max( color, 1e-10 );\\tcolor = log2( color );\\n\\tcolor = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv );\\n\\tcolor = clamp( color, 0.0, 1.0 );\\n\\tcolor = agxDefaultContrastApprox( color );\\n\\tcolor = AgXOutsetMatrix * color;\\n\\tcolor = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) );\\n\\tcolor = LINEAR_REC2020_TO_LINEAR_SRGB * color;\\n\\treturn color;\\n}\\nvec3 CustomToneMapping( vec3 color ) { return color; }\";\n\nvar transmission_fragment = \"#ifdef USE_TRANSMISSION\\n\\tmaterial.transmission = transmission;\\n\\tmaterial.transmissionAlpha = 1.0;\\n\\tmaterial.thickness = thickness;\\n\\tmaterial.attenuationDistance = attenuationDistance;\\n\\tmaterial.attenuationColor = attenuationColor;\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\t\\tmaterial.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;\\n\\t#endif\\n\\t#ifdef USE_THICKNESSMAP\\n\\t\\tmaterial.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;\\n\\t#endif\\n\\tvec3 pos = vWorldPosition;\\n\\tvec3 v = normalize( cameraPosition - pos );\\n\\tvec3 n = inverseTransformDirection( normal, viewMatrix );\\n\\tvec4 transmitted = getIBLVolumeRefraction(\\n\\t\\tn, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,\\n\\t\\tpos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,\\n\\t\\tmaterial.attenuationColor, material.attenuationDistance );\\n\\tmaterial.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );\\n\\ttotalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission );\\n#endif\";\n\nvar transmission_pars_fragment = \"#ifdef USE_TRANSMISSION\\n\\tuniform float transmission;\\n\\tuniform float thickness;\\n\\tuniform float attenuationDistance;\\n\\tuniform vec3 attenuationColor;\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\t\\tuniform sampler2D transmissionMap;\\n\\t#endif\\n\\t#ifdef USE_THICKNESSMAP\\n\\t\\tuniform sampler2D thicknessMap;\\n\\t#endif\\n\\tuniform vec2 transmissionSamplerSize;\\n\\tuniform sampler2D transmissionSamplerMap;\\n\\tuniform mat4 modelMatrix;\\n\\tuniform mat4 projectionMatrix;\\n\\tvarying vec3 vWorldPosition;\\n\\tfloat w0( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );\\n\\t}\\n\\tfloat w1( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * a * ( 3.0 * a - 6.0 ) + 4.0 );\\n\\t}\\n\\tfloat w2( float a ){\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );\\n\\t}\\n\\tfloat w3( float a ) {\\n\\t\\treturn ( 1.0 / 6.0 ) * ( a * a * a );\\n\\t}\\n\\tfloat g0( float a ) {\\n\\t\\treturn w0( a ) + w1( a );\\n\\t}\\n\\tfloat g1( float a ) {\\n\\t\\treturn w2( a ) + w3( a );\\n\\t}\\n\\tfloat h0( float a ) {\\n\\t\\treturn - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );\\n\\t}\\n\\tfloat h1( float a ) {\\n\\t\\treturn 1.0 + w3( a ) / ( w2( a ) + w3( a ) );\\n\\t}\\n\\tvec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {\\n\\t\\tuv = uv * texelSize.zw + 0.5;\\n\\t\\tvec2 iuv = floor( uv );\\n\\t\\tvec2 fuv = fract( uv );\\n\\t\\tfloat g0x = g0( fuv.x );\\n\\t\\tfloat g1x = g1( fuv.x );\\n\\t\\tfloat h0x = h0( fuv.x );\\n\\t\\tfloat h1x = h1( fuv.x );\\n\\t\\tfloat h0y = h0( fuv.y );\\n\\t\\tfloat h1y = h1( fuv.y );\\n\\t\\tvec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\\n\\t\\tvec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;\\n\\t\\treturn g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +\\n\\t\\t\\tg1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );\\n\\t}\\n\\tvec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {\\n\\t\\tvec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );\\n\\t\\tvec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );\\n\\t\\tvec2 fLodSizeInv = 1.0 / fLodSize;\\n\\t\\tvec2 cLodSizeInv = 1.0 / cLodSize;\\n\\t\\tvec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );\\n\\t\\tvec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );\\n\\t\\treturn mix( fSample, cSample, fract( lod ) );\\n\\t}\\n\\tvec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {\\n\\t\\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\\n\\t\\tvec3 modelScale;\\n\\t\\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\\n\\t\\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\\n\\t\\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\\n\\t\\treturn normalize( refractionVector ) * thickness * modelScale;\\n\\t}\\n\\tfloat applyIorToRoughness( const in float roughness, const in float ior ) {\\n\\t\\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\\n\\t}\\n\\tvec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {\\n\\t\\tfloat lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\\n\\t\\treturn textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );\\n\\t}\\n\\tvec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {\\n\\t\\tif ( isinf( attenuationDistance ) ) {\\n\\t\\t\\treturn vec3( 1.0 );\\n\\t\\t} else {\\n\\t\\t\\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\\n\\t\\t\\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );\\t\\t\\treturn transmittance;\\n\\t\\t}\\n\\t}\\n\\tvec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,\\n\\t\\tconst in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,\\n\\t\\tconst in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,\\n\\t\\tconst in vec3 attenuationColor, const in float attenuationDistance ) {\\n\\t\\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\\n\\t\\tvec3 refractedRayExit = position + transmissionRay;\\n\\t\\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\\n\\t\\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\\n\\t\\trefractionCoords += 1.0;\\n\\t\\trefractionCoords /= 2.0;\\n\\t\\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\\n\\t\\tvec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );\\n\\t\\tvec3 attenuatedColor = transmittance * transmittedLight.rgb;\\n\\t\\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\\n\\t\\tfloat transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;\\n\\t\\treturn vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );\\n\\t}\\n#endif\";\n\nvar uv_pars_fragment = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvarying vec2 vUv;\\n#endif\\n#ifdef USE_MAP\\n\\tvarying vec2 vMapUv;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tvarying vec2 vAlphaMapUv;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tvarying vec2 vLightMapUv;\\n#endif\\n#ifdef USE_AOMAP\\n\\tvarying vec2 vAoMapUv;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tvarying vec2 vBumpMapUv;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tvarying vec2 vNormalMapUv;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tvarying vec2 vEmissiveMapUv;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tvarying vec2 vMetalnessMapUv;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tvarying vec2 vRoughnessMapUv;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tvarying vec2 vAnisotropyMapUv;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tvarying vec2 vClearcoatMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvarying vec2 vClearcoatNormalMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tvarying vec2 vClearcoatRoughnessMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tvarying vec2 vIridescenceMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tvarying vec2 vIridescenceThicknessMapUv;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tvarying vec2 vSheenColorMapUv;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tvarying vec2 vSheenRoughnessMapUv;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tvarying vec2 vSpecularMapUv;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tvarying vec2 vSpecularColorMapUv;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tvarying vec2 vSpecularIntensityMapUv;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tuniform mat3 transmissionMapTransform;\\n\\tvarying vec2 vTransmissionMapUv;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tuniform mat3 thicknessMapTransform;\\n\\tvarying vec2 vThicknessMapUv;\\n#endif\";\n\nvar uv_pars_vertex = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvarying vec2 vUv;\\n#endif\\n#ifdef USE_MAP\\n\\tuniform mat3 mapTransform;\\n\\tvarying vec2 vMapUv;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tuniform mat3 alphaMapTransform;\\n\\tvarying vec2 vAlphaMapUv;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tuniform mat3 lightMapTransform;\\n\\tvarying vec2 vLightMapUv;\\n#endif\\n#ifdef USE_AOMAP\\n\\tuniform mat3 aoMapTransform;\\n\\tvarying vec2 vAoMapUv;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tuniform mat3 bumpMapTransform;\\n\\tvarying vec2 vBumpMapUv;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tuniform mat3 normalMapTransform;\\n\\tvarying vec2 vNormalMapUv;\\n#endif\\n#ifdef USE_DISPLACEMENTMAP\\n\\tuniform mat3 displacementMapTransform;\\n\\tvarying vec2 vDisplacementMapUv;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tuniform mat3 emissiveMapTransform;\\n\\tvarying vec2 vEmissiveMapUv;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tuniform mat3 metalnessMapTransform;\\n\\tvarying vec2 vMetalnessMapUv;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tuniform mat3 roughnessMapTransform;\\n\\tvarying vec2 vRoughnessMapUv;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tuniform mat3 anisotropyMapTransform;\\n\\tvarying vec2 vAnisotropyMapUv;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tuniform mat3 clearcoatMapTransform;\\n\\tvarying vec2 vClearcoatMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tuniform mat3 clearcoatNormalMapTransform;\\n\\tvarying vec2 vClearcoatNormalMapUv;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tuniform mat3 clearcoatRoughnessMapTransform;\\n\\tvarying vec2 vClearcoatRoughnessMapUv;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tuniform mat3 sheenColorMapTransform;\\n\\tvarying vec2 vSheenColorMapUv;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tuniform mat3 sheenRoughnessMapTransform;\\n\\tvarying vec2 vSheenRoughnessMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tuniform mat3 iridescenceMapTransform;\\n\\tvarying vec2 vIridescenceMapUv;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tuniform mat3 iridescenceThicknessMapTransform;\\n\\tvarying vec2 vIridescenceThicknessMapUv;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tuniform mat3 specularMapTransform;\\n\\tvarying vec2 vSpecularMapUv;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tuniform mat3 specularColorMapTransform;\\n\\tvarying vec2 vSpecularColorMapUv;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tuniform mat3 specularIntensityMapTransform;\\n\\tvarying vec2 vSpecularIntensityMapUv;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tuniform mat3 transmissionMapTransform;\\n\\tvarying vec2 vTransmissionMapUv;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tuniform mat3 thicknessMapTransform;\\n\\tvarying vec2 vThicknessMapUv;\\n#endif\";\n\nvar uv_vertex = \"#if defined( USE_UV ) || defined( USE_ANISOTROPY )\\n\\tvUv = vec3( uv, 1 ).xy;\\n#endif\\n#ifdef USE_MAP\\n\\tvMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ALPHAMAP\\n\\tvAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_LIGHTMAP\\n\\tvLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_AOMAP\\n\\tvAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_BUMPMAP\\n\\tvBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_NORMALMAP\\n\\tvNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_DISPLACEMENTMAP\\n\\tvDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_EMISSIVEMAP\\n\\tvEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_METALNESSMAP\\n\\tvMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ROUGHNESSMAP\\n\\tvRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_ANISOTROPYMAP\\n\\tvAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOATMAP\\n\\tvClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\tvClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\tvClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_IRIDESCENCEMAP\\n\\tvIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_IRIDESCENCE_THICKNESSMAP\\n\\tvIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SHEEN_COLORMAP\\n\\tvSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\tvSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULARMAP\\n\\tvSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULAR_COLORMAP\\n\\tvSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_SPECULAR_INTENSITYMAP\\n\\tvSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_TRANSMISSIONMAP\\n\\tvTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy;\\n#endif\\n#ifdef USE_THICKNESSMAP\\n\\tvThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy;\\n#endif\";\n\nvar worldpos_vertex = \"#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0\\n\\tvec4 worldPosition = vec4( transformed, 1.0 );\\n\\t#ifdef USE_BATCHING\\n\\t\\tworldPosition = batchingMatrix * worldPosition;\\n\\t#endif\\n\\t#ifdef USE_INSTANCING\\n\\t\\tworldPosition = instanceMatrix * worldPosition;\\n\\t#endif\\n\\tworldPosition = modelMatrix * worldPosition;\\n#endif\";\n\nconst vertex$h = \"varying vec2 vUv;\\nuniform mat3 uvTransform;\\nvoid main() {\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\n}\";\n\nconst fragment$h = \"uniform sampler2D t2D;\\nuniform float backgroundIntensity;\\nvarying vec2 vUv;\\nvoid main() {\\n\\tvec4 texColor = texture2D( t2D, vUv );\\n\\t#ifdef DECODE_VIDEO_TEXTURE\\n\\t\\ttexColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w );\\n\\t#endif\\n\\ttexColor.rgb *= backgroundIntensity;\\n\\tgl_FragColor = texColor;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$g = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n\\tgl_Position.z = gl_Position.w;\\n}\";\n\nconst fragment$g = \"#ifdef ENVMAP_TYPE_CUBE\\n\\tuniform samplerCube envMap;\\n#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\tuniform sampler2D envMap;\\n#endif\\nuniform float flipEnvMap;\\nuniform float backgroundBlurriness;\\nuniform float backgroundIntensity;\\nvarying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tvec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) );\\n\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\t\\tvec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness );\\n\\t#else\\n\\t\\tvec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\t#endif\\n\\ttexColor.rgb *= backgroundIntensity;\\n\\tgl_FragColor = texColor;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$f = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n\\tgl_Position.z = gl_Position.w;\\n}\";\n\nconst fragment$f = \"uniform samplerCube tCube;\\nuniform float tFlip;\\nuniform float opacity;\\nvarying vec3 vWorldDirection;\\nvoid main() {\\n\\tvec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );\\n\\tgl_FragColor = texColor;\\n\\tgl_FragColor.a *= opacity;\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$e = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvHighPrecisionZW = gl_Position.zw;\\n}\";\n\nconst fragment$e = \"#if DEPTH_PACKING == 3200\\n\\tuniform float opacity;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvarying vec2 vHighPrecisionZW;\\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tdiffuseColor.a = opacity;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\n\\t#if DEPTH_PACKING == 3200\\n\\t\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\n\\t#elif DEPTH_PACKING == 3201\\n\\t\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\n\\t#endif\\n}\";\n\nconst vertex$d = \"#define DISTANCE\\nvarying vec3 vWorldPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvWorldPosition = worldPosition.xyz;\\n}\";\n\nconst fragment$d = \"#define DISTANCE\\nuniform vec3 referencePosition;\\nuniform float nearDistance;\\nuniform float farDistance;\\nvarying vec3 vWorldPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main () {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tfloat dist = length( vWorldPosition - referencePosition );\\n\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\n\\tdist = saturate( dist );\\n\\tgl_FragColor = packDepthToRGBA( dist );\\n}\";\n\nconst vertex$c = \"varying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$c = \"uniform sampler2D tEquirect;\\nvarying vec3 vWorldDirection;\\n#include \\nvoid main() {\\n\\tvec3 direction = normalize( vWorldDirection );\\n\\tvec2 sampleUV = equirectUv( direction );\\n\\tgl_FragColor = texture2D( tEquirect, sampleUV );\\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$b = \"uniform float scale;\\nattribute float lineDistance;\\nvarying float vLineDistance;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\tvLineDistance = scale * lineDistance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$b = \"uniform vec3 diffuse;\\nuniform float opacity;\\nuniform float dashSize;\\nuniform float totalSize;\\nvarying float vLineDistance;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\n\\t\\tdiscard;\\n\\t}\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$a = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$a = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#ifndef FLAT_SHADED\\n\\tvarying vec3 vNormal;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\t#ifdef USE_LIGHTMAP\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vLightMapUv );\\n\\t\\treflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI;\\n\\t#else\\n\\t\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\n\\t#endif\\n\\t#include \\n\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\n\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$9 = \"#define LAMBERT\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$9 = \"#define LAMBERT\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$8 = \"#define MATCAP\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n}\";\n\nconst fragment$8 = \"#define MATCAP\\nuniform vec3 diffuse;\\nuniform float opacity;\\nuniform sampler2D matcap;\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 viewDir = normalize( vViewPosition );\\n\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\n\\tvec3 y = cross( viewDir, x );\\n\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;\\n\\t#ifdef USE_MATCAP\\n\\t\\tvec4 matcapColor = texture2D( matcap, uv );\\n\\t#else\\n\\t\\tvec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 );\\n\\t#endif\\n\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$7 = \"#define NORMAL\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvViewPosition = - mvPosition.xyz;\\n#endif\\n}\";\n\nconst fragment$7 = \"#define NORMAL\\nuniform float opacity;\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )\\n\\tvarying vec3 vViewPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\n\\t#ifdef OPAQUE\\n\\t\\tgl_FragColor.a = 1.0;\\n\\t#endif\\n}\";\n\nconst vertex$6 = \"#define PHONG\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$6 = \"#define PHONG\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform vec3 specular;\\nuniform float shininess;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$5 = \"#define STANDARD\\nvarying vec3 vViewPosition;\\n#ifdef USE_TRANSMISSION\\n\\tvarying vec3 vWorldPosition;\\n#endif\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n#ifdef USE_TRANSMISSION\\n\\tvWorldPosition = worldPosition.xyz;\\n#endif\\n}\";\n\nconst fragment$5 = \"#define STANDARD\\n#ifdef PHYSICAL\\n\\t#define IOR\\n\\t#define USE_SPECULAR\\n#endif\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float roughness;\\nuniform float metalness;\\nuniform float opacity;\\n#ifdef IOR\\n\\tuniform float ior;\\n#endif\\n#ifdef USE_SPECULAR\\n\\tuniform float specularIntensity;\\n\\tuniform vec3 specularColor;\\n\\t#ifdef USE_SPECULAR_COLORMAP\\n\\t\\tuniform sampler2D specularColorMap;\\n\\t#endif\\n\\t#ifdef USE_SPECULAR_INTENSITYMAP\\n\\t\\tuniform sampler2D specularIntensityMap;\\n\\t#endif\\n#endif\\n#ifdef USE_CLEARCOAT\\n\\tuniform float clearcoat;\\n\\tuniform float clearcoatRoughness;\\n#endif\\n#ifdef USE_IRIDESCENCE\\n\\tuniform float iridescence;\\n\\tuniform float iridescenceIOR;\\n\\tuniform float iridescenceThicknessMinimum;\\n\\tuniform float iridescenceThicknessMaximum;\\n#endif\\n#ifdef USE_SHEEN\\n\\tuniform vec3 sheenColor;\\n\\tuniform float sheenRoughness;\\n\\t#ifdef USE_SHEEN_COLORMAP\\n\\t\\tuniform sampler2D sheenColorMap;\\n\\t#endif\\n\\t#ifdef USE_SHEEN_ROUGHNESSMAP\\n\\t\\tuniform sampler2D sheenRoughnessMap;\\n\\t#endif\\n#endif\\n#ifdef USE_ANISOTROPY\\n\\tuniform vec2 anisotropyVector;\\n\\t#ifdef USE_ANISOTROPYMAP\\n\\t\\tuniform sampler2D anisotropyMap;\\n\\t#endif\\n#endif\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;\\n\\tvec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;\\n\\t#include \\n\\tvec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;\\n\\t#ifdef USE_SHEEN\\n\\t\\tfloat sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor );\\n\\t\\toutgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect;\\n\\t#endif\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) );\\n\\t\\tvec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );\\n\\t\\toutgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$4 = \"#define TOON\\nvarying vec3 vViewPosition;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvViewPosition = - mvPosition.xyz;\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$4 = \"#define TOON\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$3 = \"uniform float size;\\nuniform float scale;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#ifdef USE_POINTS_UV\\n\\tvarying vec2 vUv;\\n\\tuniform mat3 uvTransform;\\n#endif\\nvoid main() {\\n\\t#ifdef USE_POINTS_UV\\n\\t\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\tgl_PointSize = size;\\n\\t#ifdef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\n\\t#endif\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$3 = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$2 = \"#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$2 = \"uniform vec3 color;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst vertex$1 = \"uniform float rotation;\\nuniform vec2 center;\\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\tvec2 scale;\\n\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\n\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\n\\t#ifndef USE_SIZEATTENUATION\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\t\\tif ( isPerspective ) scale *= - mvPosition.z;\\n\\t#endif\\n\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\n\\tvec2 rotatedPosition;\\n\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\n\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\n\\tmvPosition.xy += rotatedPosition;\\n\\tgl_Position = projectionMatrix * mvPosition;\\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst fragment$1 = \"uniform vec3 diffuse;\\nuniform float opacity;\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\nvoid main() {\\n\\t#include \\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\toutgoingLight = diffuseColor.rgb;\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\";\n\nconst ShaderChunk = {\n\talphahash_fragment: alphahash_fragment,\n\talphahash_pars_fragment: alphahash_pars_fragment,\n\talphamap_fragment: alphamap_fragment,\n\talphamap_pars_fragment: alphamap_pars_fragment,\n\talphatest_fragment: alphatest_fragment,\n\talphatest_pars_fragment: alphatest_pars_fragment,\n\taomap_fragment: aomap_fragment,\n\taomap_pars_fragment: aomap_pars_fragment,\n\tbatching_pars_vertex: batching_pars_vertex,\n\tbatching_vertex: batching_vertex,\n\tbegin_vertex: begin_vertex,\n\tbeginnormal_vertex: beginnormal_vertex,\n\tbsdfs: bsdfs,\n\tiridescence_fragment: iridescence_fragment,\n\tbumpmap_pars_fragment: bumpmap_pars_fragment,\n\tclipping_planes_fragment: clipping_planes_fragment,\n\tclipping_planes_pars_fragment: clipping_planes_pars_fragment,\n\tclipping_planes_pars_vertex: clipping_planes_pars_vertex,\n\tclipping_planes_vertex: clipping_planes_vertex,\n\tcolor_fragment: color_fragment,\n\tcolor_pars_fragment: color_pars_fragment,\n\tcolor_pars_vertex: color_pars_vertex,\n\tcolor_vertex: color_vertex,\n\tcommon: common,\n\tcube_uv_reflection_fragment: cube_uv_reflection_fragment,\n\tdefaultnormal_vertex: defaultnormal_vertex,\n\tdisplacementmap_pars_vertex: displacementmap_pars_vertex,\n\tdisplacementmap_vertex: displacementmap_vertex,\n\temissivemap_fragment: emissivemap_fragment,\n\temissivemap_pars_fragment: emissivemap_pars_fragment,\n\tcolorspace_fragment: colorspace_fragment,\n\tcolorspace_pars_fragment: colorspace_pars_fragment,\n\tenvmap_fragment: envmap_fragment,\n\tenvmap_common_pars_fragment: envmap_common_pars_fragment,\n\tenvmap_pars_fragment: envmap_pars_fragment,\n\tenvmap_pars_vertex: envmap_pars_vertex,\n\tenvmap_physical_pars_fragment: envmap_physical_pars_fragment,\n\tenvmap_vertex: envmap_vertex,\n\tfog_vertex: fog_vertex,\n\tfog_pars_vertex: fog_pars_vertex,\n\tfog_fragment: fog_fragment,\n\tfog_pars_fragment: fog_pars_fragment,\n\tgradientmap_pars_fragment: gradientmap_pars_fragment,\n\tlightmap_fragment: lightmap_fragment,\n\tlightmap_pars_fragment: lightmap_pars_fragment,\n\tlights_lambert_fragment: lights_lambert_fragment,\n\tlights_lambert_pars_fragment: lights_lambert_pars_fragment,\n\tlights_pars_begin: lights_pars_begin,\n\tlights_toon_fragment: lights_toon_fragment,\n\tlights_toon_pars_fragment: lights_toon_pars_fragment,\n\tlights_phong_fragment: lights_phong_fragment,\n\tlights_phong_pars_fragment: lights_phong_pars_fragment,\n\tlights_physical_fragment: lights_physical_fragment,\n\tlights_physical_pars_fragment: lights_physical_pars_fragment,\n\tlights_fragment_begin: lights_fragment_begin,\n\tlights_fragment_maps: lights_fragment_maps,\n\tlights_fragment_end: lights_fragment_end,\n\tlogdepthbuf_fragment: logdepthbuf_fragment,\n\tlogdepthbuf_pars_fragment: logdepthbuf_pars_fragment,\n\tlogdepthbuf_pars_vertex: logdepthbuf_pars_vertex,\n\tlogdepthbuf_vertex: logdepthbuf_vertex,\n\tmap_fragment: map_fragment,\n\tmap_pars_fragment: map_pars_fragment,\n\tmap_particle_fragment: map_particle_fragment,\n\tmap_particle_pars_fragment: map_particle_pars_fragment,\n\tmetalnessmap_fragment: metalnessmap_fragment,\n\tmetalnessmap_pars_fragment: metalnessmap_pars_fragment,\n\tmorphcolor_vertex: morphcolor_vertex,\n\tmorphnormal_vertex: morphnormal_vertex,\n\tmorphtarget_pars_vertex: morphtarget_pars_vertex,\n\tmorphtarget_vertex: morphtarget_vertex,\n\tnormal_fragment_begin: normal_fragment_begin,\n\tnormal_fragment_maps: normal_fragment_maps,\n\tnormal_pars_fragment: normal_pars_fragment,\n\tnormal_pars_vertex: normal_pars_vertex,\n\tnormal_vertex: normal_vertex,\n\tnormalmap_pars_fragment: normalmap_pars_fragment,\n\tclearcoat_normal_fragment_begin: clearcoat_normal_fragment_begin,\n\tclearcoat_normal_fragment_maps: clearcoat_normal_fragment_maps,\n\tclearcoat_pars_fragment: clearcoat_pars_fragment,\n\tiridescence_pars_fragment: iridescence_pars_fragment,\n\topaque_fragment: opaque_fragment,\n\tpacking: packing,\n\tpremultiplied_alpha_fragment: premultiplied_alpha_fragment,\n\tproject_vertex: project_vertex,\n\tdithering_fragment: dithering_fragment,\n\tdithering_pars_fragment: dithering_pars_fragment,\n\troughnessmap_fragment: roughnessmap_fragment,\n\troughnessmap_pars_fragment: roughnessmap_pars_fragment,\n\tshadowmap_pars_fragment: shadowmap_pars_fragment,\n\tshadowmap_pars_vertex: shadowmap_pars_vertex,\n\tshadowmap_vertex: shadowmap_vertex,\n\tshadowmask_pars_fragment: shadowmask_pars_fragment,\n\tskinbase_vertex: skinbase_vertex,\n\tskinning_pars_vertex: skinning_pars_vertex,\n\tskinning_vertex: skinning_vertex,\n\tskinnormal_vertex: skinnormal_vertex,\n\tspecularmap_fragment: specularmap_fragment,\n\tspecularmap_pars_fragment: specularmap_pars_fragment,\n\ttonemapping_fragment: tonemapping_fragment,\n\ttonemapping_pars_fragment: tonemapping_pars_fragment,\n\ttransmission_fragment: transmission_fragment,\n\ttransmission_pars_fragment: transmission_pars_fragment,\n\tuv_pars_fragment: uv_pars_fragment,\n\tuv_pars_vertex: uv_pars_vertex,\n\tuv_vertex: uv_vertex,\n\tworldpos_vertex: worldpos_vertex,\n\n\tbackground_vert: vertex$h,\n\tbackground_frag: fragment$h,\n\tbackgroundCube_vert: vertex$g,\n\tbackgroundCube_frag: fragment$g,\n\tcube_vert: vertex$f,\n\tcube_frag: fragment$f,\n\tdepth_vert: vertex$e,\n\tdepth_frag: fragment$e,\n\tdistanceRGBA_vert: vertex$d,\n\tdistanceRGBA_frag: fragment$d,\n\tequirect_vert: vertex$c,\n\tequirect_frag: fragment$c,\n\tlinedashed_vert: vertex$b,\n\tlinedashed_frag: fragment$b,\n\tmeshbasic_vert: vertex$a,\n\tmeshbasic_frag: fragment$a,\n\tmeshlambert_vert: vertex$9,\n\tmeshlambert_frag: fragment$9,\n\tmeshmatcap_vert: vertex$8,\n\tmeshmatcap_frag: fragment$8,\n\tmeshnormal_vert: vertex$7,\n\tmeshnormal_frag: fragment$7,\n\tmeshphong_vert: vertex$6,\n\tmeshphong_frag: fragment$6,\n\tmeshphysical_vert: vertex$5,\n\tmeshphysical_frag: fragment$5,\n\tmeshtoon_vert: vertex$4,\n\tmeshtoon_frag: fragment$4,\n\tpoints_vert: vertex$3,\n\tpoints_frag: fragment$3,\n\tshadow_vert: vertex$2,\n\tshadow_frag: fragment$2,\n\tsprite_vert: vertex$1,\n\tsprite_frag: fragment$1\n};\n\n/**\n * Uniforms library for shared webgl shaders\n */\n\nconst UniformsLib = {\n\n\tcommon: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\n\t\tmap: { value: null },\n\t\tmapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\n\t\talphaTest: { value: 0 }\n\n\t},\n\n\tspecularmap: {\n\n\t\tspecularMap: { value: null },\n\t\tspecularMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tenvmap: {\n\n\t\tenvMap: { value: null },\n\t\tflipEnvMap: { value: - 1 },\n\t\treflectivity: { value: 1.0 }, // basic, lambert, phong\n\t\tior: { value: 1.5 }, // physical\n\t\trefractionRatio: { value: 0.98 }, // basic, lambert, phong\n\n\t},\n\n\taomap: {\n\n\t\taoMap: { value: null },\n\t\taoMapIntensity: { value: 1 },\n\t\taoMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tlightmap: {\n\n\t\tlightMap: { value: null },\n\t\tlightMapIntensity: { value: 1 },\n\t\tlightMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tbumpmap: {\n\n\t\tbumpMap: { value: null },\n\t\tbumpMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tbumpScale: { value: 1 }\n\n\t},\n\n\tnormalmap: {\n\n\t\tnormalMap: { value: null },\n\t\tnormalMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tnormalScale: { value: /*@__PURE__*/ new Vector2( 1, 1 ) }\n\n\t},\n\n\tdisplacementmap: {\n\n\t\tdisplacementMap: { value: null },\n\t\tdisplacementMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\tdisplacementScale: { value: 1 },\n\t\tdisplacementBias: { value: 0 }\n\n\t},\n\n\temissivemap: {\n\n\t\temissiveMap: { value: null },\n\t\temissiveMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tmetalnessmap: {\n\n\t\tmetalnessMap: { value: null },\n\t\tmetalnessMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\troughnessmap: {\n\n\t\troughnessMap: { value: null },\n\t\troughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tgradientmap: {\n\n\t\tgradientMap: { value: null }\n\n\t},\n\n\tfog: {\n\n\t\tfogDensity: { value: 0.00025 },\n\t\tfogNear: { value: 1 },\n\t\tfogFar: { value: 2000 },\n\t\tfogColor: { value: /*@__PURE__*/ new Color( 0xffffff ) }\n\n\t},\n\n\tlights: {\n\n\t\tambientLightColor: { value: [] },\n\n\t\tlightProbe: { value: [] },\n\n\t\tdirectionalLights: { value: [], properties: {\n\t\t\tdirection: {},\n\t\t\tcolor: {}\n\t\t} },\n\n\t\tdirectionalLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {}\n\t\t} },\n\n\t\tdirectionalShadowMap: { value: [] },\n\t\tdirectionalShadowMatrix: { value: [] },\n\n\t\tspotLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\tdirection: {},\n\t\t\tdistance: {},\n\t\t\tconeCos: {},\n\t\t\tpenumbraCos: {},\n\t\t\tdecay: {}\n\t\t} },\n\n\t\tspotLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {}\n\t\t} },\n\n\t\tspotLightMap: { value: [] },\n\t\tspotShadowMap: { value: [] },\n\t\tspotLightMatrix: { value: [] },\n\n\t\tpointLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\tdecay: {},\n\t\t\tdistance: {}\n\t\t} },\n\n\t\tpointLightShadows: { value: [], properties: {\n\t\t\tshadowBias: {},\n\t\t\tshadowNormalBias: {},\n\t\t\tshadowRadius: {},\n\t\t\tshadowMapSize: {},\n\t\t\tshadowCameraNear: {},\n\t\t\tshadowCameraFar: {}\n\t\t} },\n\n\t\tpointShadowMap: { value: [] },\n\t\tpointShadowMatrix: { value: [] },\n\n\t\themisphereLights: { value: [], properties: {\n\t\t\tdirection: {},\n\t\t\tskyColor: {},\n\t\t\tgroundColor: {}\n\t\t} },\n\n\t\t// TODO (abelnation): RectAreaLight BRDF data needs to be moved from example to main src\n\t\trectAreaLights: { value: [], properties: {\n\t\t\tcolor: {},\n\t\t\tposition: {},\n\t\t\twidth: {},\n\t\t\theight: {}\n\t\t} },\n\n\t\tltc_1: { value: null },\n\t\tltc_2: { value: null }\n\n\t},\n\n\tpoints: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\t\tsize: { value: 1.0 },\n\t\tscale: { value: 1.0 },\n\t\tmap: { value: null },\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaTest: { value: 0 },\n\t\tuvTransform: { value: /*@__PURE__*/ new Matrix3() }\n\n\t},\n\n\tsprite: {\n\n\t\tdiffuse: { value: /*@__PURE__*/ new Color( 0xffffff ) },\n\t\topacity: { value: 1.0 },\n\t\tcenter: { value: /*@__PURE__*/ new Vector2( 0.5, 0.5 ) },\n\t\trotation: { value: 0.0 },\n\t\tmap: { value: null },\n\t\tmapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaMap: { value: null },\n\t\talphaMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\talphaTest: { value: 0 }\n\n\t}\n\n};\n\nconst ShaderLib = {\n\n\tbasic: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshbasic_vert,\n\t\tfragmentShader: ShaderChunk.meshbasic_frag\n\n\t},\n\n\tlambert: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshlambert_vert,\n\t\tfragmentShader: ShaderChunk.meshlambert_frag\n\n\t},\n\n\tphong: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.specularmap,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\t\tspecular: { value: /*@__PURE__*/ new Color( 0x111111 ) },\n\t\t\t\tshininess: { value: 30 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshphong_vert,\n\t\tfragmentShader: ShaderChunk.meshphong_frag\n\n\t},\n\n\tstandard: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.envmap,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.roughnessmap,\n\t\t\tUniformsLib.metalnessmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\t\troughness: { value: 1.0 },\n\t\t\t\tmetalness: { value: 0.0 },\n\t\t\t\tenvMapIntensity: { value: 1 } // temporary\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshphysical_vert,\n\t\tfragmentShader: ShaderChunk.meshphysical_frag\n\n\t},\n\n\ttoon: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.aomap,\n\t\t\tUniformsLib.lightmap,\n\t\t\tUniformsLib.emissivemap,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.gradientmap,\n\t\t\tUniformsLib.fog,\n\t\t\tUniformsLib.lights,\n\t\t\t{\n\t\t\t\temissive: { value: /*@__PURE__*/ new Color( 0x000000 ) }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshtoon_vert,\n\t\tfragmentShader: ShaderChunk.meshtoon_frag\n\n\t},\n\n\tmatcap: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tmatcap: { value: null }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshmatcap_vert,\n\t\tfragmentShader: ShaderChunk.meshmatcap_frag\n\n\t},\n\n\tpoints: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.points,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.points_vert,\n\t\tfragmentShader: ShaderChunk.points_frag\n\n\t},\n\n\tdashed: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tscale: { value: 1 },\n\t\t\t\tdashSize: { value: 1 },\n\t\t\t\ttotalSize: { value: 2 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.linedashed_vert,\n\t\tfragmentShader: ShaderChunk.linedashed_frag\n\n\t},\n\n\tdepth: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.displacementmap\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.depth_vert,\n\t\tfragmentShader: ShaderChunk.depth_frag\n\n\t},\n\n\tnormal: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.bumpmap,\n\t\t\tUniformsLib.normalmap,\n\t\t\tUniformsLib.displacementmap,\n\t\t\t{\n\t\t\t\topacity: { value: 1.0 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.meshnormal_vert,\n\t\tfragmentShader: ShaderChunk.meshnormal_frag\n\n\t},\n\n\tsprite: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.sprite,\n\t\t\tUniformsLib.fog\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.sprite_vert,\n\t\tfragmentShader: ShaderChunk.sprite_frag\n\n\t},\n\n\tbackground: {\n\n\t\tuniforms: {\n\t\t\tuvTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tt2D: { value: null },\n\t\t\tbackgroundIntensity: { value: 1 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.background_vert,\n\t\tfragmentShader: ShaderChunk.background_frag\n\n\t},\n\n\tbackgroundCube: {\n\n\t\tuniforms: {\n\t\t\tenvMap: { value: null },\n\t\t\tflipEnvMap: { value: - 1 },\n\t\t\tbackgroundBlurriness: { value: 0 },\n\t\t\tbackgroundIntensity: { value: 1 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.backgroundCube_vert,\n\t\tfragmentShader: ShaderChunk.backgroundCube_frag\n\n\t},\n\n\tcube: {\n\n\t\tuniforms: {\n\t\t\ttCube: { value: null },\n\t\t\ttFlip: { value: - 1 },\n\t\t\topacity: { value: 1.0 }\n\t\t},\n\n\t\tvertexShader: ShaderChunk.cube_vert,\n\t\tfragmentShader: ShaderChunk.cube_frag\n\n\t},\n\n\tequirect: {\n\n\t\tuniforms: {\n\t\t\ttEquirect: { value: null },\n\t\t},\n\n\t\tvertexShader: ShaderChunk.equirect_vert,\n\t\tfragmentShader: ShaderChunk.equirect_frag\n\n\t},\n\n\tdistanceRGBA: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.common,\n\t\t\tUniformsLib.displacementmap,\n\t\t\t{\n\t\t\t\treferencePosition: { value: /*@__PURE__*/ new Vector3() },\n\t\t\t\tnearDistance: { value: 1 },\n\t\t\t\tfarDistance: { value: 1000 }\n\t\t\t}\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.distanceRGBA_vert,\n\t\tfragmentShader: ShaderChunk.distanceRGBA_frag\n\n\t},\n\n\tshadow: {\n\n\t\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\t\tUniformsLib.lights,\n\t\t\tUniformsLib.fog,\n\t\t\t{\n\t\t\t\tcolor: { value: /*@__PURE__*/ new Color( 0x00000 ) },\n\t\t\t\topacity: { value: 1.0 }\n\t\t\t},\n\t\t] ),\n\n\t\tvertexShader: ShaderChunk.shadow_vert,\n\t\tfragmentShader: ShaderChunk.shadow_frag\n\n\t}\n\n};\n\nShaderLib.physical = {\n\n\tuniforms: /*@__PURE__*/ mergeUniforms( [\n\t\tShaderLib.standard.uniforms,\n\t\t{\n\t\t\tclearcoat: { value: 0 },\n\t\t\tclearcoatMap: { value: null },\n\t\t\tclearcoatMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tclearcoatNormalMap: { value: null },\n\t\t\tclearcoatNormalMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tclearcoatNormalScale: { value: /*@__PURE__*/ new Vector2( 1, 1 ) },\n\t\t\tclearcoatRoughness: { value: 0 },\n\t\t\tclearcoatRoughnessMap: { value: null },\n\t\t\tclearcoatRoughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tiridescence: { value: 0 },\n\t\t\tiridescenceMap: { value: null },\n\t\t\tiridescenceMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tiridescenceIOR: { value: 1.3 },\n\t\t\tiridescenceThicknessMinimum: { value: 100 },\n\t\t\tiridescenceThicknessMaximum: { value: 400 },\n\t\t\tiridescenceThicknessMap: { value: null },\n\t\t\tiridescenceThicknessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tsheen: { value: 0 },\n\t\t\tsheenColor: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\tsheenColorMap: { value: null },\n\t\t\tsheenColorMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tsheenRoughness: { value: 1 },\n\t\t\tsheenRoughnessMap: { value: null },\n\t\t\tsheenRoughnessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\ttransmission: { value: 0 },\n\t\t\ttransmissionMap: { value: null },\n\t\t\ttransmissionMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\ttransmissionSamplerSize: { value: /*@__PURE__*/ new Vector2() },\n\t\t\ttransmissionSamplerMap: { value: null },\n\t\t\tthickness: { value: 0 },\n\t\t\tthicknessMap: { value: null },\n\t\t\tthicknessMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tattenuationDistance: { value: 0 },\n\t\t\tattenuationColor: { value: /*@__PURE__*/ new Color( 0x000000 ) },\n\t\t\tspecularColor: { value: /*@__PURE__*/ new Color( 1, 1, 1 ) },\n\t\t\tspecularColorMap: { value: null },\n\t\t\tspecularColorMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tspecularIntensity: { value: 1 },\n\t\t\tspecularIntensityMap: { value: null },\n\t\t\tspecularIntensityMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t\tanisotropyVector: { value: /*@__PURE__*/ new Vector2() },\n\t\t\tanisotropyMap: { value: null },\n\t\t\tanisotropyMapTransform: { value: /*@__PURE__*/ new Matrix3() },\n\t\t}\n\t] ),\n\n\tvertexShader: ShaderChunk.meshphysical_vert,\n\tfragmentShader: ShaderChunk.meshphysical_frag\n\n};\n\nconst _rgb = { r: 0, b: 0, g: 0 };\n\nfunction WebGLBackground( renderer, cubemaps, cubeuvmaps, state, objects, alpha, premultipliedAlpha ) {\n\n\tconst clearColor = new Color( 0x000000 );\n\tlet clearAlpha = alpha === true ? 0 : 1;\n\n\tlet planeMesh;\n\tlet boxMesh;\n\n\tlet currentBackground = null;\n\tlet currentBackgroundVersion = 0;\n\tlet currentTonemapping = null;\n\n\tfunction render( renderList, scene ) {\n\n\t\tlet forceClear = false;\n\t\tlet background = scene.isScene === true ? scene.background : null;\n\n\t\tif ( background && background.isTexture ) {\n\n\t\t\tconst usePMREM = scene.backgroundBlurriness > 0; // use PMREM if the user wants to blur the background\n\t\t\tbackground = ( usePMREM ? cubeuvmaps : cubemaps ).get( background );\n\n\t\t}\n\n\t\tif ( background === null ) {\n\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t} else if ( background && background.isColor ) {\n\n\t\t\tsetClear( background, 1 );\n\t\t\tforceClear = true;\n\n\t\t}\n\n\t\tconst environmentBlendMode = renderer.xr.getEnvironmentBlendMode();\n\n\t\tif ( environmentBlendMode === 'additive' ) {\n\n\t\t\tstate.buffers.color.setClear( 0, 0, 0, 1, premultipliedAlpha );\n\n\t\t} else if ( environmentBlendMode === 'alpha-blend' ) {\n\n\t\t\tstate.buffers.color.setClear( 0, 0, 0, 0, premultipliedAlpha );\n\n\t\t}\n\n\t\tif ( renderer.autoClear || forceClear ) {\n\n\t\t\trenderer.clear( renderer.autoClearColor, renderer.autoClearDepth, renderer.autoClearStencil );\n\n\t\t}\n\n\t\tif ( background && ( background.isCubeTexture || background.mapping === CubeUVReflectionMapping ) ) {\n\n\t\t\tif ( boxMesh === undefined ) {\n\n\t\t\t\tboxMesh = new Mesh(\n\t\t\t\t\tnew BoxGeometry( 1, 1, 1 ),\n\t\t\t\t\tnew ShaderMaterial( {\n\t\t\t\t\t\tname: 'BackgroundCubeMaterial',\n\t\t\t\t\t\tuniforms: cloneUniforms( ShaderLib.backgroundCube.uniforms ),\n\t\t\t\t\t\tvertexShader: ShaderLib.backgroundCube.vertexShader,\n\t\t\t\t\t\tfragmentShader: ShaderLib.backgroundCube.fragmentShader,\n\t\t\t\t\t\tside: BackSide,\n\t\t\t\t\t\tdepthTest: false,\n\t\t\t\t\t\tdepthWrite: false,\n\t\t\t\t\t\tfog: false\n\t\t\t\t\t} )\n\t\t\t\t);\n\n\t\t\t\tboxMesh.geometry.deleteAttribute( 'normal' );\n\t\t\t\tboxMesh.geometry.deleteAttribute( 'uv' );\n\n\t\t\t\tboxMesh.onBeforeRender = function ( renderer, scene, camera ) {\n\n\t\t\t\t\tthis.matrixWorld.copyPosition( camera.matrixWorld );\n\n\t\t\t\t};\n\n\t\t\t\t// add \"envMap\" material property so the renderer can evaluate it like for built-in materials\n\t\t\t\tObject.defineProperty( boxMesh.material, 'envMap', {\n\n\t\t\t\t\tget: function () {\n\n\t\t\t\t\t\treturn this.uniforms.envMap.value;\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\tobjects.update( boxMesh );\n\n\t\t\t}\n\n\t\t\tboxMesh.material.uniforms.envMap.value = background;\n\t\t\tboxMesh.material.uniforms.flipEnvMap.value = ( background.isCubeTexture && background.isRenderTargetTexture === false ) ? - 1 : 1;\n\t\t\tboxMesh.material.uniforms.backgroundBlurriness.value = scene.backgroundBlurriness;\n\t\t\tboxMesh.material.uniforms.backgroundIntensity.value = scene.backgroundIntensity;\n\t\t\tboxMesh.material.toneMapped = ColorManagement.getTransfer( background.colorSpace ) !== SRGBTransfer;\n\n\t\t\tif ( currentBackground !== background ||\n\t\t\t\tcurrentBackgroundVersion !== background.version ||\n\t\t\t\tcurrentTonemapping !== renderer.toneMapping ) {\n\n\t\t\t\tboxMesh.material.needsUpdate = true;\n\n\t\t\t\tcurrentBackground = background;\n\t\t\t\tcurrentBackgroundVersion = background.version;\n\t\t\t\tcurrentTonemapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t\tboxMesh.layers.enableAll();\n\n\t\t\t// push to the pre-sorted opaque render list\n\t\t\trenderList.unshift( boxMesh, boxMesh.geometry, boxMesh.material, 0, 0, null );\n\n\t\t} else if ( background && background.isTexture ) {\n\n\t\t\tif ( planeMesh === undefined ) {\n\n\t\t\t\tplaneMesh = new Mesh(\n\t\t\t\t\tnew PlaneGeometry( 2, 2 ),\n\t\t\t\t\tnew ShaderMaterial( {\n\t\t\t\t\t\tname: 'BackgroundMaterial',\n\t\t\t\t\t\tuniforms: cloneUniforms( ShaderLib.background.uniforms ),\n\t\t\t\t\t\tvertexShader: ShaderLib.background.vertexShader,\n\t\t\t\t\t\tfragmentShader: ShaderLib.background.fragmentShader,\n\t\t\t\t\t\tside: FrontSide,\n\t\t\t\t\t\tdepthTest: false,\n\t\t\t\t\t\tdepthWrite: false,\n\t\t\t\t\t\tfog: false\n\t\t\t\t\t} )\n\t\t\t\t);\n\n\t\t\t\tplaneMesh.geometry.deleteAttribute( 'normal' );\n\n\t\t\t\t// add \"map\" material property so the renderer can evaluate it like for built-in materials\n\t\t\t\tObject.defineProperty( planeMesh.material, 'map', {\n\n\t\t\t\t\tget: function () {\n\n\t\t\t\t\t\treturn this.uniforms.t2D.value;\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\tobjects.update( planeMesh );\n\n\t\t\t}\n\n\t\t\tplaneMesh.material.uniforms.t2D.value = background;\n\t\t\tplaneMesh.material.uniforms.backgroundIntensity.value = scene.backgroundIntensity;\n\t\t\tplaneMesh.material.toneMapped = ColorManagement.getTransfer( background.colorSpace ) !== SRGBTransfer;\n\n\t\t\tif ( background.matrixAutoUpdate === true ) {\n\n\t\t\t\tbackground.updateMatrix();\n\n\t\t\t}\n\n\t\t\tplaneMesh.material.uniforms.uvTransform.value.copy( background.matrix );\n\n\t\t\tif ( currentBackground !== background ||\n\t\t\t\tcurrentBackgroundVersion !== background.version ||\n\t\t\t\tcurrentTonemapping !== renderer.toneMapping ) {\n\n\t\t\t\tplaneMesh.material.needsUpdate = true;\n\n\t\t\t\tcurrentBackground = background;\n\t\t\t\tcurrentBackgroundVersion = background.version;\n\t\t\t\tcurrentTonemapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t\tplaneMesh.layers.enableAll();\n\n\t\t\t// push to the pre-sorted opaque render list\n\t\t\trenderList.unshift( planeMesh, planeMesh.geometry, planeMesh.material, 0, 0, null );\n\n\t\t}\n\n\t}\n\n\tfunction setClear( color, alpha ) {\n\n\t\tcolor.getRGB( _rgb, getUnlitUniformColorSpace( renderer ) );\n\n\t\tstate.buffers.color.setClear( _rgb.r, _rgb.g, _rgb.b, alpha, premultipliedAlpha );\n\n\t}\n\n\treturn {\n\n\t\tgetClearColor: function () {\n\n\t\t\treturn clearColor;\n\n\t\t},\n\t\tsetClearColor: function ( color, alpha = 1 ) {\n\n\t\t\tclearColor.set( color );\n\t\t\tclearAlpha = alpha;\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t},\n\t\tgetClearAlpha: function () {\n\n\t\t\treturn clearAlpha;\n\n\t\t},\n\t\tsetClearAlpha: function ( alpha ) {\n\n\t\t\tclearAlpha = alpha;\n\t\t\tsetClear( clearColor, clearAlpha );\n\n\t\t},\n\t\trender: render\n\n\t};\n\n}\n\nfunction WebGLBindingStates( gl, extensions, attributes, capabilities ) {\n\n\tconst maxVertexAttributes = gl.getParameter( gl.MAX_VERTEX_ATTRIBS );\n\n\tconst extension = capabilities.isWebGL2 ? null : extensions.get( 'OES_vertex_array_object' );\n\tconst vaoAvailable = capabilities.isWebGL2 || extension !== null;\n\n\tconst bindingStates = {};\n\n\tconst defaultState = createBindingState( null );\n\tlet currentState = defaultState;\n\tlet forceUpdate = false;\n\n\tfunction setup( object, material, program, geometry, index ) {\n\n\t\tlet updateBuffers = false;\n\n\t\tif ( vaoAvailable ) {\n\n\t\t\tconst state = getBindingState( geometry, program, material );\n\n\t\t\tif ( currentState !== state ) {\n\n\t\t\t\tcurrentState = state;\n\t\t\t\tbindVertexArrayObject( currentState.object );\n\n\t\t\t}\n\n\t\t\tupdateBuffers = needsUpdate( object, geometry, program, index );\n\n\t\t\tif ( updateBuffers ) saveCache( object, geometry, program, index );\n\n\t\t} else {\n\n\t\t\tconst wireframe = ( material.wireframe === true );\n\n\t\t\tif ( currentState.geometry !== geometry.id ||\n\t\t\t\tcurrentState.program !== program.id ||\n\t\t\t\tcurrentState.wireframe !== wireframe ) {\n\n\t\t\t\tcurrentState.geometry = geometry.id;\n\t\t\t\tcurrentState.program = program.id;\n\t\t\t\tcurrentState.wireframe = wireframe;\n\n\t\t\t\tupdateBuffers = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( index !== null ) {\n\n\t\t\tattributes.update( index, gl.ELEMENT_ARRAY_BUFFER );\n\n\t\t}\n\n\t\tif ( updateBuffers || forceUpdate ) {\n\n\t\t\tforceUpdate = false;\n\n\t\t\tsetupVertexAttributes( object, material, program, geometry );\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tgl.bindBuffer( gl.ELEMENT_ARRAY_BUFFER, attributes.get( index ).buffer );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction createVertexArrayObject() {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.createVertexArray();\n\n\t\treturn extension.createVertexArrayOES();\n\n\t}\n\n\tfunction bindVertexArrayObject( vao ) {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.bindVertexArray( vao );\n\n\t\treturn extension.bindVertexArrayOES( vao );\n\n\t}\n\n\tfunction deleteVertexArrayObject( vao ) {\n\n\t\tif ( capabilities.isWebGL2 ) return gl.deleteVertexArray( vao );\n\n\t\treturn extension.deleteVertexArrayOES( vao );\n\n\t}\n\n\tfunction getBindingState( geometry, program, material ) {\n\n\t\tconst wireframe = ( material.wireframe === true );\n\n\t\tlet programMap = bindingStates[ geometry.id ];\n\n\t\tif ( programMap === undefined ) {\n\n\t\t\tprogramMap = {};\n\t\t\tbindingStates[ geometry.id ] = programMap;\n\n\t\t}\n\n\t\tlet stateMap = programMap[ program.id ];\n\n\t\tif ( stateMap === undefined ) {\n\n\t\t\tstateMap = {};\n\t\t\tprogramMap[ program.id ] = stateMap;\n\n\t\t}\n\n\t\tlet state = stateMap[ wireframe ];\n\n\t\tif ( state === undefined ) {\n\n\t\t\tstate = createBindingState( createVertexArrayObject() );\n\t\t\tstateMap[ wireframe ] = state;\n\n\t\t}\n\n\t\treturn state;\n\n\t}\n\n\tfunction createBindingState( vao ) {\n\n\t\tconst newAttributes = [];\n\t\tconst enabledAttributes = [];\n\t\tconst attributeDivisors = [];\n\n\t\tfor ( let i = 0; i < maxVertexAttributes; i ++ ) {\n\n\t\t\tnewAttributes[ i ] = 0;\n\t\t\tenabledAttributes[ i ] = 0;\n\t\t\tattributeDivisors[ i ] = 0;\n\n\t\t}\n\n\t\treturn {\n\n\t\t\t// for backward compatibility on non-VAO support browser\n\t\t\tgeometry: null,\n\t\t\tprogram: null,\n\t\t\twireframe: false,\n\n\t\t\tnewAttributes: newAttributes,\n\t\t\tenabledAttributes: enabledAttributes,\n\t\t\tattributeDivisors: attributeDivisors,\n\t\t\tobject: vao,\n\t\t\tattributes: {},\n\t\t\tindex: null\n\n\t\t};\n\n\t}\n\n\tfunction needsUpdate( object, geometry, program, index ) {\n\n\t\tconst cachedAttributes = currentState.attributes;\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\tlet attributesNum = 0;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tconst cachedAttribute = cachedAttributes[ name ];\n\t\t\t\tlet geometryAttribute = geometryAttributes[ name ];\n\n\t\t\t\tif ( geometryAttribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) geometryAttribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) geometryAttribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tif ( cachedAttribute === undefined ) return true;\n\n\t\t\t\tif ( cachedAttribute.attribute !== geometryAttribute ) return true;\n\n\t\t\t\tif ( geometryAttribute && cachedAttribute.data !== geometryAttribute.data ) return true;\n\n\t\t\t\tattributesNum ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( currentState.attributesNum !== attributesNum ) return true;\n\n\t\tif ( currentState.index !== index ) return true;\n\n\t\treturn false;\n\n\t}\n\n\tfunction saveCache( object, geometry, program, index ) {\n\n\t\tconst cache = {};\n\t\tconst attributes = geometry.attributes;\n\t\tlet attributesNum = 0;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tlet attribute = attributes[ name ];\n\n\t\t\t\tif ( attribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) attribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) attribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tconst data = {};\n\t\t\t\tdata.attribute = attribute;\n\n\t\t\t\tif ( attribute && attribute.data ) {\n\n\t\t\t\t\tdata.data = attribute.data;\n\n\t\t\t\t}\n\n\t\t\t\tcache[ name ] = data;\n\n\t\t\t\tattributesNum ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tcurrentState.attributes = cache;\n\t\tcurrentState.attributesNum = attributesNum;\n\n\t\tcurrentState.index = index;\n\n\t}\n\n\tfunction initAttributes() {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\n\t\tfor ( let i = 0, il = newAttributes.length; i < il; i ++ ) {\n\n\t\t\tnewAttributes[ i ] = 0;\n\n\t\t}\n\n\t}\n\n\tfunction enableAttribute( attribute ) {\n\n\t\tenableAttributeAndDivisor( attribute, 0 );\n\n\t}\n\n\tfunction enableAttributeAndDivisor( attribute, meshPerAttribute ) {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\t\tconst enabledAttributes = currentState.enabledAttributes;\n\t\tconst attributeDivisors = currentState.attributeDivisors;\n\n\t\tnewAttributes[ attribute ] = 1;\n\n\t\tif ( enabledAttributes[ attribute ] === 0 ) {\n\n\t\t\tgl.enableVertexAttribArray( attribute );\n\t\t\tenabledAttributes[ attribute ] = 1;\n\n\t\t}\n\n\t\tif ( attributeDivisors[ attribute ] !== meshPerAttribute ) {\n\n\t\t\tconst extension = capabilities.isWebGL2 ? gl : extensions.get( 'ANGLE_instanced_arrays' );\n\n\t\t\textension[ capabilities.isWebGL2 ? 'vertexAttribDivisor' : 'vertexAttribDivisorANGLE' ]( attribute, meshPerAttribute );\n\t\t\tattributeDivisors[ attribute ] = meshPerAttribute;\n\n\t\t}\n\n\t}\n\n\tfunction disableUnusedAttributes() {\n\n\t\tconst newAttributes = currentState.newAttributes;\n\t\tconst enabledAttributes = currentState.enabledAttributes;\n\n\t\tfor ( let i = 0, il = enabledAttributes.length; i < il; i ++ ) {\n\n\t\t\tif ( enabledAttributes[ i ] !== newAttributes[ i ] ) {\n\n\t\t\t\tgl.disableVertexAttribArray( i );\n\t\t\t\tenabledAttributes[ i ] = 0;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction vertexAttribPointer( index, size, type, normalized, stride, offset, integer ) {\n\n\t\tif ( integer === true ) {\n\n\t\t\tgl.vertexAttribIPointer( index, size, type, stride, offset );\n\n\t\t} else {\n\n\t\t\tgl.vertexAttribPointer( index, size, type, normalized, stride, offset );\n\n\t\t}\n\n\t}\n\n\tfunction setupVertexAttributes( object, material, program, geometry ) {\n\n\t\tif ( capabilities.isWebGL2 === false && ( object.isInstancedMesh || geometry.isInstancedBufferGeometry ) ) {\n\n\t\t\tif ( extensions.get( 'ANGLE_instanced_arrays' ) === null ) return;\n\n\t\t}\n\n\t\tinitAttributes();\n\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\tconst programAttributes = program.getAttributes();\n\n\t\tconst materialDefaultAttributeValues = material.defaultAttributeValues;\n\n\t\tfor ( const name in programAttributes ) {\n\n\t\t\tconst programAttribute = programAttributes[ name ];\n\n\t\t\tif ( programAttribute.location >= 0 ) {\n\n\t\t\t\tlet geometryAttribute = geometryAttributes[ name ];\n\n\t\t\t\tif ( geometryAttribute === undefined ) {\n\n\t\t\t\t\tif ( name === 'instanceMatrix' && object.instanceMatrix ) geometryAttribute = object.instanceMatrix;\n\t\t\t\t\tif ( name === 'instanceColor' && object.instanceColor ) geometryAttribute = object.instanceColor;\n\n\t\t\t\t}\n\n\t\t\t\tif ( geometryAttribute !== undefined ) {\n\n\t\t\t\t\tconst normalized = geometryAttribute.normalized;\n\t\t\t\t\tconst size = geometryAttribute.itemSize;\n\n\t\t\t\t\tconst attribute = attributes.get( geometryAttribute );\n\n\t\t\t\t\t// TODO Attribute may not be available on context restore\n\n\t\t\t\t\tif ( attribute === undefined ) continue;\n\n\t\t\t\t\tconst buffer = attribute.buffer;\n\t\t\t\t\tconst type = attribute.type;\n\t\t\t\t\tconst bytesPerElement = attribute.bytesPerElement;\n\n\t\t\t\t\t// check for integer attributes (WebGL 2 only)\n\n\t\t\t\t\tconst integer = ( capabilities.isWebGL2 === true && ( type === gl.INT || type === gl.UNSIGNED_INT || geometryAttribute.gpuType === IntType ) );\n\n\t\t\t\t\tif ( geometryAttribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\t\tconst data = geometryAttribute.data;\n\t\t\t\t\t\tconst stride = data.stride;\n\t\t\t\t\t\tconst offset = geometryAttribute.offset;\n\n\t\t\t\t\t\tif ( data.isInstancedInterleavedBuffer ) {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttributeAndDivisor( programAttribute.location + i, data.meshPerAttribute );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( object.isInstancedMesh !== true && geometry._maxInstanceCount === undefined ) {\n\n\t\t\t\t\t\t\t\tgeometry._maxInstanceCount = data.meshPerAttribute * data.count;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttribute( programAttribute.location + i );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tgl.bindBuffer( gl.ARRAY_BUFFER, buffer );\n\n\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\tvertexAttribPointer(\n\t\t\t\t\t\t\t\tprogramAttribute.location + i,\n\t\t\t\t\t\t\t\tsize / programAttribute.locationSize,\n\t\t\t\t\t\t\t\ttype,\n\t\t\t\t\t\t\t\tnormalized,\n\t\t\t\t\t\t\t\tstride * bytesPerElement,\n\t\t\t\t\t\t\t\t( offset + ( size / programAttribute.locationSize ) * i ) * bytesPerElement,\n\t\t\t\t\t\t\t\tinteger\n\t\t\t\t\t\t\t);\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( geometryAttribute.isInstancedBufferAttribute ) {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttributeAndDivisor( programAttribute.location + i, geometryAttribute.meshPerAttribute );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( object.isInstancedMesh !== true && geometry._maxInstanceCount === undefined ) {\n\n\t\t\t\t\t\t\t\tgeometry._maxInstanceCount = geometryAttribute.meshPerAttribute * geometryAttribute.count;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\t\tenableAttribute( programAttribute.location + i );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tgl.bindBuffer( gl.ARRAY_BUFFER, buffer );\n\n\t\t\t\t\t\tfor ( let i = 0; i < programAttribute.locationSize; i ++ ) {\n\n\t\t\t\t\t\t\tvertexAttribPointer(\n\t\t\t\t\t\t\t\tprogramAttribute.location + i,\n\t\t\t\t\t\t\t\tsize / programAttribute.locationSize,\n\t\t\t\t\t\t\t\ttype,\n\t\t\t\t\t\t\t\tnormalized,\n\t\t\t\t\t\t\t\tsize * bytesPerElement,\n\t\t\t\t\t\t\t\t( size / programAttribute.locationSize ) * i * bytesPerElement,\n\t\t\t\t\t\t\t\tinteger\n\t\t\t\t\t\t\t);\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( materialDefaultAttributeValues !== undefined ) {\n\n\t\t\t\t\tconst value = materialDefaultAttributeValues[ name ];\n\n\t\t\t\t\tif ( value !== undefined ) {\n\n\t\t\t\t\t\tswitch ( value.length ) {\n\n\t\t\t\t\t\t\tcase 2:\n\t\t\t\t\t\t\t\tgl.vertexAttrib2fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tcase 3:\n\t\t\t\t\t\t\t\tgl.vertexAttrib3fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tcase 4:\n\t\t\t\t\t\t\t\tgl.vertexAttrib4fv( programAttribute.location, value );\n\t\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t\tgl.vertexAttrib1fv( programAttribute.location, value );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tdisableUnusedAttributes();\n\n\t}\n\n\tfunction dispose() {\n\n\t\treset();\n\n\t\tfor ( const geometryId in bindingStates ) {\n\n\t\t\tconst programMap = bindingStates[ geometryId ];\n\n\t\t\tfor ( const programId in programMap ) {\n\n\t\t\t\tconst stateMap = programMap[ programId ];\n\n\t\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t\t}\n\n\t\t\t\tdelete programMap[ programId ];\n\n\t\t\t}\n\n\t\t\tdelete bindingStates[ geometryId ];\n\n\t\t}\n\n\t}\n\n\tfunction releaseStatesOfGeometry( geometry ) {\n\n\t\tif ( bindingStates[ geometry.id ] === undefined ) return;\n\n\t\tconst programMap = bindingStates[ geometry.id ];\n\n\t\tfor ( const programId in programMap ) {\n\n\t\t\tconst stateMap = programMap[ programId ];\n\n\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t}\n\n\t\t\tdelete programMap[ programId ];\n\n\t\t}\n\n\t\tdelete bindingStates[ geometry.id ];\n\n\t}\n\n\tfunction releaseStatesOfProgram( program ) {\n\n\t\tfor ( const geometryId in bindingStates ) {\n\n\t\t\tconst programMap = bindingStates[ geometryId ];\n\n\t\t\tif ( programMap[ program.id ] === undefined ) continue;\n\n\t\t\tconst stateMap = programMap[ program.id ];\n\n\t\t\tfor ( const wireframe in stateMap ) {\n\n\t\t\t\tdeleteVertexArrayObject( stateMap[ wireframe ].object );\n\n\t\t\t\tdelete stateMap[ wireframe ];\n\n\t\t\t}\n\n\t\t\tdelete programMap[ program.id ];\n\n\t\t}\n\n\t}\n\n\tfunction reset() {\n\n\t\tresetDefaultState();\n\t\tforceUpdate = true;\n\n\t\tif ( currentState === defaultState ) return;\n\n\t\tcurrentState = defaultState;\n\t\tbindVertexArrayObject( currentState.object );\n\n\t}\n\n\t// for backward-compatibility\n\n\tfunction resetDefaultState() {\n\n\t\tdefaultState.geometry = null;\n\t\tdefaultState.program = null;\n\t\tdefaultState.wireframe = false;\n\n\t}\n\n\treturn {\n\n\t\tsetup: setup,\n\t\treset: reset,\n\t\tresetDefaultState: resetDefaultState,\n\t\tdispose: dispose,\n\t\treleaseStatesOfGeometry: releaseStatesOfGeometry,\n\t\treleaseStatesOfProgram: releaseStatesOfProgram,\n\n\t\tinitAttributes: initAttributes,\n\t\tenableAttribute: enableAttribute,\n\t\tdisableUnusedAttributes: disableUnusedAttributes\n\n\t};\n\n}\n\nfunction WebGLBufferRenderer( gl, extensions, info, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tlet mode;\n\n\tfunction setMode( value ) {\n\n\t\tmode = value;\n\n\t}\n\n\tfunction render( start, count ) {\n\n\t\tgl.drawArrays( mode, start, count );\n\n\t\tinfo.update( count, mode, 1 );\n\n\t}\n\n\tfunction renderInstances( start, count, primcount ) {\n\n\t\tif ( primcount === 0 ) return;\n\n\t\tlet extension, methodName;\n\n\t\tif ( isWebGL2 ) {\n\n\t\t\textension = gl;\n\t\t\tmethodName = 'drawArraysInstanced';\n\n\t\t} else {\n\n\t\t\textension = extensions.get( 'ANGLE_instanced_arrays' );\n\t\t\tmethodName = 'drawArraysInstancedANGLE';\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\textension[ methodName ]( mode, start, count, primcount );\n\n\t\tinfo.update( count, mode, primcount );\n\n\t}\n\n\tfunction renderMultiDraw( starts, counts, drawCount ) {\n\n\t\tif ( drawCount === 0 ) return;\n\n\t\tconst extension = extensions.get( 'WEBGL_multi_draw' );\n\t\tif ( extension === null ) {\n\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\tthis.render( starts[ i ], counts[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\textension.multiDrawArraysWEBGL( mode, starts, 0, counts, 0, drawCount );\n\n\t\t\tlet elementCount = 0;\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\telementCount += counts[ i ];\n\n\t\t\t}\n\n\t\t\tinfo.update( elementCount, mode, 1 );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tthis.setMode = setMode;\n\tthis.render = render;\n\tthis.renderInstances = renderInstances;\n\tthis.renderMultiDraw = renderMultiDraw;\n\n}\n\nfunction WebGLCapabilities( gl, extensions, parameters ) {\n\n\tlet maxAnisotropy;\n\n\tfunction getMaxAnisotropy() {\n\n\t\tif ( maxAnisotropy !== undefined ) return maxAnisotropy;\n\n\t\tif ( extensions.has( 'EXT_texture_filter_anisotropic' ) === true ) {\n\n\t\t\tconst extension = extensions.get( 'EXT_texture_filter_anisotropic' );\n\n\t\t\tmaxAnisotropy = gl.getParameter( extension.MAX_TEXTURE_MAX_ANISOTROPY_EXT );\n\n\t\t} else {\n\n\t\t\tmaxAnisotropy = 0;\n\n\t\t}\n\n\t\treturn maxAnisotropy;\n\n\t}\n\n\tfunction getMaxPrecision( precision ) {\n\n\t\tif ( precision === 'highp' ) {\n\n\t\t\tif ( gl.getShaderPrecisionFormat( gl.VERTEX_SHADER, gl.HIGH_FLOAT ).precision > 0 &&\n\t\t\t\tgl.getShaderPrecisionFormat( gl.FRAGMENT_SHADER, gl.HIGH_FLOAT ).precision > 0 ) {\n\n\t\t\t\treturn 'highp';\n\n\t\t\t}\n\n\t\t\tprecision = 'mediump';\n\n\t\t}\n\n\t\tif ( precision === 'mediump' ) {\n\n\t\t\tif ( gl.getShaderPrecisionFormat( gl.VERTEX_SHADER, gl.MEDIUM_FLOAT ).precision > 0 &&\n\t\t\t\tgl.getShaderPrecisionFormat( gl.FRAGMENT_SHADER, gl.MEDIUM_FLOAT ).precision > 0 ) {\n\n\t\t\t\treturn 'mediump';\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn 'lowp';\n\n\t}\n\n\tconst isWebGL2 = typeof WebGL2RenderingContext !== 'undefined' && gl.constructor.name === 'WebGL2RenderingContext';\n\n\tlet precision = parameters.precision !== undefined ? parameters.precision : 'highp';\n\tconst maxPrecision = getMaxPrecision( precision );\n\n\tif ( maxPrecision !== precision ) {\n\n\t\tconsole.warn( 'THREE.WebGLRenderer:', precision, 'not supported, using', maxPrecision, 'instead.' );\n\t\tprecision = maxPrecision;\n\n\t}\n\n\tconst drawBuffers = isWebGL2 || extensions.has( 'WEBGL_draw_buffers' );\n\n\tconst logarithmicDepthBuffer = parameters.logarithmicDepthBuffer === true;\n\n\tconst maxTextures = gl.getParameter( gl.MAX_TEXTURE_IMAGE_UNITS );\n\tconst maxVertexTextures = gl.getParameter( gl.MAX_VERTEX_TEXTURE_IMAGE_UNITS );\n\tconst maxTextureSize = gl.getParameter( gl.MAX_TEXTURE_SIZE );\n\tconst maxCubemapSize = gl.getParameter( gl.MAX_CUBE_MAP_TEXTURE_SIZE );\n\n\tconst maxAttributes = gl.getParameter( gl.MAX_VERTEX_ATTRIBS );\n\tconst maxVertexUniforms = gl.getParameter( gl.MAX_VERTEX_UNIFORM_VECTORS );\n\tconst maxVaryings = gl.getParameter( gl.MAX_VARYING_VECTORS );\n\tconst maxFragmentUniforms = gl.getParameter( gl.MAX_FRAGMENT_UNIFORM_VECTORS );\n\n\tconst vertexTextures = maxVertexTextures > 0;\n\tconst floatFragmentTextures = isWebGL2 || extensions.has( 'OES_texture_float' );\n\tconst floatVertexTextures = vertexTextures && floatFragmentTextures;\n\n\tconst maxSamples = isWebGL2 ? gl.getParameter( gl.MAX_SAMPLES ) : 0;\n\n\treturn {\n\n\t\tisWebGL2: isWebGL2,\n\n\t\tdrawBuffers: drawBuffers,\n\n\t\tgetMaxAnisotropy: getMaxAnisotropy,\n\t\tgetMaxPrecision: getMaxPrecision,\n\n\t\tprecision: precision,\n\t\tlogarithmicDepthBuffer: logarithmicDepthBuffer,\n\n\t\tmaxTextures: maxTextures,\n\t\tmaxVertexTextures: maxVertexTextures,\n\t\tmaxTextureSize: maxTextureSize,\n\t\tmaxCubemapSize: maxCubemapSize,\n\n\t\tmaxAttributes: maxAttributes,\n\t\tmaxVertexUniforms: maxVertexUniforms,\n\t\tmaxVaryings: maxVaryings,\n\t\tmaxFragmentUniforms: maxFragmentUniforms,\n\n\t\tvertexTextures: vertexTextures,\n\t\tfloatFragmentTextures: floatFragmentTextures,\n\t\tfloatVertexTextures: floatVertexTextures,\n\n\t\tmaxSamples: maxSamples\n\n\t};\n\n}\n\nfunction WebGLClipping( properties ) {\n\n\tconst scope = this;\n\n\tlet globalState = null,\n\t\tnumGlobalPlanes = 0,\n\t\tlocalClippingEnabled = false,\n\t\trenderingShadows = false;\n\n\tconst plane = new Plane(),\n\t\tviewNormalMatrix = new Matrix3(),\n\n\t\tuniform = { value: null, needsUpdate: false };\n\n\tthis.uniform = uniform;\n\tthis.numPlanes = 0;\n\tthis.numIntersection = 0;\n\n\tthis.init = function ( planes, enableLocalClipping ) {\n\n\t\tconst enabled =\n\t\t\tplanes.length !== 0 ||\n\t\t\tenableLocalClipping ||\n\t\t\t// enable state of previous frame - the clipping code has to\n\t\t\t// run another frame in order to reset the state:\n\t\t\tnumGlobalPlanes !== 0 ||\n\t\t\tlocalClippingEnabled;\n\n\t\tlocalClippingEnabled = enableLocalClipping;\n\n\t\tnumGlobalPlanes = planes.length;\n\n\t\treturn enabled;\n\n\t};\n\n\tthis.beginShadows = function () {\n\n\t\trenderingShadows = true;\n\t\tprojectPlanes( null );\n\n\t};\n\n\tthis.endShadows = function () {\n\n\t\trenderingShadows = false;\n\n\t};\n\n\tthis.setGlobalState = function ( planes, camera ) {\n\n\t\tglobalState = projectPlanes( planes, camera, 0 );\n\n\t};\n\n\tthis.setState = function ( material, camera, useCache ) {\n\n\t\tconst planes = material.clippingPlanes,\n\t\t\tclipIntersection = material.clipIntersection,\n\t\t\tclipShadows = material.clipShadows;\n\n\t\tconst materialProperties = properties.get( material );\n\n\t\tif ( ! localClippingEnabled || planes === null || planes.length === 0 || renderingShadows && ! clipShadows ) {\n\n\t\t\t// there's no local clipping\n\n\t\t\tif ( renderingShadows ) {\n\n\t\t\t\t// there's no global clipping\n\n\t\t\t\tprojectPlanes( null );\n\n\t\t\t} else {\n\n\t\t\t\tresetGlobalState();\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst nGlobal = renderingShadows ? 0 : numGlobalPlanes,\n\t\t\t\tlGlobal = nGlobal * 4;\n\n\t\t\tlet dstArray = materialProperties.clippingState || null;\n\n\t\t\tuniform.value = dstArray; // ensure unique state\n\n\t\t\tdstArray = projectPlanes( planes, camera, lGlobal, useCache );\n\n\t\t\tfor ( let i = 0; i !== lGlobal; ++ i ) {\n\n\t\t\t\tdstArray[ i ] = globalState[ i ];\n\n\t\t\t}\n\n\t\t\tmaterialProperties.clippingState = dstArray;\n\t\t\tthis.numIntersection = clipIntersection ? this.numPlanes : 0;\n\t\t\tthis.numPlanes += nGlobal;\n\n\t\t}\n\n\n\t};\n\n\tfunction resetGlobalState() {\n\n\t\tif ( uniform.value !== globalState ) {\n\n\t\t\tuniform.value = globalState;\n\t\t\tuniform.needsUpdate = numGlobalPlanes > 0;\n\n\t\t}\n\n\t\tscope.numPlanes = numGlobalPlanes;\n\t\tscope.numIntersection = 0;\n\n\t}\n\n\tfunction projectPlanes( planes, camera, dstOffset, skipTransform ) {\n\n\t\tconst nPlanes = planes !== null ? planes.length : 0;\n\t\tlet dstArray = null;\n\n\t\tif ( nPlanes !== 0 ) {\n\n\t\t\tdstArray = uniform.value;\n\n\t\t\tif ( skipTransform !== true || dstArray === null ) {\n\n\t\t\t\tconst flatSize = dstOffset + nPlanes * 4,\n\t\t\t\t\tviewMatrix = camera.matrixWorldInverse;\n\n\t\t\t\tviewNormalMatrix.getNormalMatrix( viewMatrix );\n\n\t\t\t\tif ( dstArray === null || dstArray.length < flatSize ) {\n\n\t\t\t\t\tdstArray = new Float32Array( flatSize );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0, i4 = dstOffset; i !== nPlanes; ++ i, i4 += 4 ) {\n\n\t\t\t\t\tplane.copy( planes[ i ] ).applyMatrix4( viewMatrix, viewNormalMatrix );\n\n\t\t\t\t\tplane.normal.toArray( dstArray, i4 );\n\t\t\t\t\tdstArray[ i4 + 3 ] = plane.constant;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tuniform.value = dstArray;\n\t\t\tuniform.needsUpdate = true;\n\n\t\t}\n\n\t\tscope.numPlanes = nPlanes;\n\t\tscope.numIntersection = 0;\n\n\t\treturn dstArray;\n\n\t}\n\n}\n\nfunction WebGLCubeMaps( renderer ) {\n\n\tlet cubemaps = new WeakMap();\n\n\tfunction mapTextureMapping( texture, mapping ) {\n\n\t\tif ( mapping === EquirectangularReflectionMapping ) {\n\n\t\t\ttexture.mapping = CubeReflectionMapping;\n\n\t\t} else if ( mapping === EquirectangularRefractionMapping ) {\n\n\t\t\ttexture.mapping = CubeRefractionMapping;\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction get( texture ) {\n\n\t\tif ( texture && texture.isTexture ) {\n\n\t\t\tconst mapping = texture.mapping;\n\n\t\t\tif ( mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping ) {\n\n\t\t\t\tif ( cubemaps.has( texture ) ) {\n\n\t\t\t\t\tconst cubemap = cubemaps.get( texture ).texture;\n\t\t\t\t\treturn mapTextureMapping( cubemap, texture.mapping );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconst image = texture.image;\n\n\t\t\t\t\tif ( image && image.height > 0 ) {\n\n\t\t\t\t\t\tconst renderTarget = new WebGLCubeRenderTarget( image.height / 2 );\n\t\t\t\t\t\trenderTarget.fromEquirectangularTexture( renderer, texture );\n\t\t\t\t\t\tcubemaps.set( texture, renderTarget );\n\n\t\t\t\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t\t\t\t\treturn mapTextureMapping( renderTarget.texture, texture.mapping );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// image not yet ready. try the conversion next frame\n\n\t\t\t\t\t\treturn null;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tconst cubemap = cubemaps.get( texture );\n\n\t\tif ( cubemap !== undefined ) {\n\n\t\t\tcubemaps.delete( texture );\n\t\t\tcubemap.dispose();\n\n\t\t}\n\n\t}\n\n\tfunction dispose() {\n\n\t\tcubemaps = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nclass OrthographicCamera extends Camera {\n\n\tconstructor( left = - 1, right = 1, top = 1, bottom = - 1, near = 0.1, far = 2000 ) {\n\n\t\tsuper();\n\n\t\tthis.isOrthographicCamera = true;\n\n\t\tthis.type = 'OrthographicCamera';\n\n\t\tthis.zoom = 1;\n\t\tthis.view = null;\n\n\t\tthis.left = left;\n\t\tthis.right = right;\n\t\tthis.top = top;\n\t\tthis.bottom = bottom;\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.left = source.left;\n\t\tthis.right = source.right;\n\t\tthis.top = source.top;\n\t\tthis.bottom = source.bottom;\n\t\tthis.near = source.near;\n\t\tthis.far = source.far;\n\n\t\tthis.zoom = source.zoom;\n\t\tthis.view = source.view === null ? null : Object.assign( {}, source.view );\n\n\t\treturn this;\n\n\t}\n\n\tsetViewOffset( fullWidth, fullHeight, x, y, width, height ) {\n\n\t\tif ( this.view === null ) {\n\n\t\t\tthis.view = {\n\t\t\t\tenabled: true,\n\t\t\t\tfullWidth: 1,\n\t\t\t\tfullHeight: 1,\n\t\t\t\toffsetX: 0,\n\t\t\t\toffsetY: 0,\n\t\t\t\twidth: 1,\n\t\t\t\theight: 1\n\t\t\t};\n\n\t\t}\n\n\t\tthis.view.enabled = true;\n\t\tthis.view.fullWidth = fullWidth;\n\t\tthis.view.fullHeight = fullHeight;\n\t\tthis.view.offsetX = x;\n\t\tthis.view.offsetY = y;\n\t\tthis.view.width = width;\n\t\tthis.view.height = height;\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tclearViewOffset() {\n\n\t\tif ( this.view !== null ) {\n\n\t\t\tthis.view.enabled = false;\n\n\t\t}\n\n\t\tthis.updateProjectionMatrix();\n\n\t}\n\n\tupdateProjectionMatrix() {\n\n\t\tconst dx = ( this.right - this.left ) / ( 2 * this.zoom );\n\t\tconst dy = ( this.top - this.bottom ) / ( 2 * this.zoom );\n\t\tconst cx = ( this.right + this.left ) / 2;\n\t\tconst cy = ( this.top + this.bottom ) / 2;\n\n\t\tlet left = cx - dx;\n\t\tlet right = cx + dx;\n\t\tlet top = cy + dy;\n\t\tlet bottom = cy - dy;\n\n\t\tif ( this.view !== null && this.view.enabled ) {\n\n\t\t\tconst scaleW = ( this.right - this.left ) / this.view.fullWidth / this.zoom;\n\t\t\tconst scaleH = ( this.top - this.bottom ) / this.view.fullHeight / this.zoom;\n\n\t\t\tleft += scaleW * this.view.offsetX;\n\t\t\tright = left + scaleW * this.view.width;\n\t\t\ttop -= scaleH * this.view.offsetY;\n\t\t\tbottom = top - scaleH * this.view.height;\n\n\t\t}\n\n\t\tthis.projectionMatrix.makeOrthographic( left, right, top, bottom, this.near, this.far, this.coordinateSystem );\n\n\t\tthis.projectionMatrixInverse.copy( this.projectionMatrix ).invert();\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.zoom = this.zoom;\n\t\tdata.object.left = this.left;\n\t\tdata.object.right = this.right;\n\t\tdata.object.top = this.top;\n\t\tdata.object.bottom = this.bottom;\n\t\tdata.object.near = this.near;\n\t\tdata.object.far = this.far;\n\n\t\tif ( this.view !== null ) data.object.view = Object.assign( {}, this.view );\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst LOD_MIN = 4;\n\n// The standard deviations (radians) associated with the extra mips. These are\n// chosen to approximate a Trowbridge-Reitz distribution function times the\n// geometric shadowing function. These sigma values squared must match the\n// variance #defines in cube_uv_reflection_fragment.glsl.js.\nconst EXTRA_LOD_SIGMA = [ 0.125, 0.215, 0.35, 0.446, 0.526, 0.582 ];\n\n// The maximum length of the blur for loop. Smaller sigmas will use fewer\n// samples and exit early, but not recompile the shader.\nconst MAX_SAMPLES = 20;\n\nconst _flatCamera = /*@__PURE__*/ new OrthographicCamera();\nconst _clearColor = /*@__PURE__*/ new Color();\nlet _oldTarget = null;\nlet _oldActiveCubeFace = 0;\nlet _oldActiveMipmapLevel = 0;\n\n// Golden Ratio\nconst PHI = ( 1 + Math.sqrt( 5 ) ) / 2;\nconst INV_PHI = 1 / PHI;\n\n// Vertices of a dodecahedron (except the opposites, which represent the\n// same axis), used as axis directions evenly spread on a sphere.\nconst _axisDirections = [\n\t/*@__PURE__*/ new Vector3( 1, 1, 1 ),\n\t/*@__PURE__*/ new Vector3( - 1, 1, 1 ),\n\t/*@__PURE__*/ new Vector3( 1, 1, - 1 ),\n\t/*@__PURE__*/ new Vector3( - 1, 1, - 1 ),\n\t/*@__PURE__*/ new Vector3( 0, PHI, INV_PHI ),\n\t/*@__PURE__*/ new Vector3( 0, PHI, - INV_PHI ),\n\t/*@__PURE__*/ new Vector3( INV_PHI, 0, PHI ),\n\t/*@__PURE__*/ new Vector3( - INV_PHI, 0, PHI ),\n\t/*@__PURE__*/ new Vector3( PHI, INV_PHI, 0 ),\n\t/*@__PURE__*/ new Vector3( - PHI, INV_PHI, 0 ) ];\n\n/**\n * This class generates a Prefiltered, Mipmapped Radiance Environment Map\n * (PMREM) from a cubeMap environment texture. This allows different levels of\n * blur to be quickly accessed based on material roughness. It is packed into a\n * special CubeUV format that allows us to perform custom interpolation so that\n * we can support nonlinear formats such as RGBE. Unlike a traditional mipmap\n * chain, it only goes down to the LOD_MIN level (above), and then creates extra\n * even more filtered 'mips' at the same LOD_MIN resolution, associated with\n * higher roughness levels. In this way we maintain resolution to smoothly\n * interpolate diffuse lighting while limiting sampling computation.\n *\n * Paper: Fast, Accurate Image-Based Lighting\n * https://drive.google.com/file/d/15y8r_UpKlU9SvV4ILb0C3qCPecS8pvLz/view\n*/\n\nclass PMREMGenerator {\n\n\tconstructor( renderer ) {\n\n\t\tthis._renderer = renderer;\n\t\tthis._pingPongRenderTarget = null;\n\n\t\tthis._lodMax = 0;\n\t\tthis._cubeSize = 0;\n\t\tthis._lodPlanes = [];\n\t\tthis._sizeLods = [];\n\t\tthis._sigmas = [];\n\n\t\tthis._blurMaterial = null;\n\t\tthis._cubemapMaterial = null;\n\t\tthis._equirectMaterial = null;\n\n\t\tthis._compileMaterial( this._blurMaterial );\n\n\t}\n\n\t/**\n\t * Generates a PMREM from a supplied Scene, which can be faster than using an\n\t * image if networking bandwidth is low. Optional sigma specifies a blur radius\n\t * in radians to be applied to the scene before PMREM generation. Optional near\n\t * and far planes ensure the scene is rendered in its entirety (the cubeCamera\n\t * is placed at the origin).\n\t */\n\tfromScene( scene, sigma = 0, near = 0.1, far = 100 ) {\n\n\t\t_oldTarget = this._renderer.getRenderTarget();\n\t\t_oldActiveCubeFace = this._renderer.getActiveCubeFace();\n\t\t_oldActiveMipmapLevel = this._renderer.getActiveMipmapLevel();\n\n\t\tthis._setSize( 256 );\n\n\t\tconst cubeUVRenderTarget = this._allocateTargets();\n\t\tcubeUVRenderTarget.depthBuffer = true;\n\n\t\tthis._sceneToCubeUV( scene, near, far, cubeUVRenderTarget );\n\n\t\tif ( sigma > 0 ) {\n\n\t\t\tthis._blur( cubeUVRenderTarget, 0, 0, sigma );\n\n\t\t}\n\n\t\tthis._applyPMREM( cubeUVRenderTarget );\n\t\tthis._cleanup( cubeUVRenderTarget );\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t/**\n\t * Generates a PMREM from an equirectangular texture, which can be either LDR\n\t * or HDR. The ideal input image size is 1k (1024 x 512),\n\t * as this matches best with the 256 x 256 cubemap output.\n\t */\n\tfromEquirectangular( equirectangular, renderTarget = null ) {\n\n\t\treturn this._fromTexture( equirectangular, renderTarget );\n\n\t}\n\n\t/**\n\t * Generates a PMREM from an cubemap texture, which can be either LDR\n\t * or HDR. The ideal input cube size is 256 x 256,\n\t * as this matches best with the 256 x 256 cubemap output.\n\t */\n\tfromCubemap( cubemap, renderTarget = null ) {\n\n\t\treturn this._fromTexture( cubemap, renderTarget );\n\n\t}\n\n\t/**\n\t * Pre-compiles the cubemap shader. You can get faster start-up by invoking this method during\n\t * your texture's network fetch for increased concurrency.\n\t */\n\tcompileCubemapShader() {\n\n\t\tif ( this._cubemapMaterial === null ) {\n\n\t\t\tthis._cubemapMaterial = _getCubemapMaterial();\n\t\t\tthis._compileMaterial( this._cubemapMaterial );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Pre-compiles the equirectangular shader. You can get faster start-up by invoking this method during\n\t * your texture's network fetch for increased concurrency.\n\t */\n\tcompileEquirectangularShader() {\n\n\t\tif ( this._equirectMaterial === null ) {\n\n\t\t\tthis._equirectMaterial = _getEquirectMaterial();\n\t\t\tthis._compileMaterial( this._equirectMaterial );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Disposes of the PMREMGenerator's internal memory. Note that PMREMGenerator is a static class,\n\t * so you should not need more than one PMREMGenerator object. If you do, calling dispose() on\n\t * one of them will cause any others to also become unusable.\n\t */\n\tdispose() {\n\n\t\tthis._dispose();\n\n\t\tif ( this._cubemapMaterial !== null ) this._cubemapMaterial.dispose();\n\t\tif ( this._equirectMaterial !== null ) this._equirectMaterial.dispose();\n\n\t}\n\n\t// private interface\n\n\t_setSize( cubeSize ) {\n\n\t\tthis._lodMax = Math.floor( Math.log2( cubeSize ) );\n\t\tthis._cubeSize = Math.pow( 2, this._lodMax );\n\n\t}\n\n\t_dispose() {\n\n\t\tif ( this._blurMaterial !== null ) this._blurMaterial.dispose();\n\n\t\tif ( this._pingPongRenderTarget !== null ) this._pingPongRenderTarget.dispose();\n\n\t\tfor ( let i = 0; i < this._lodPlanes.length; i ++ ) {\n\n\t\t\tthis._lodPlanes[ i ].dispose();\n\n\t\t}\n\n\t}\n\n\t_cleanup( outputTarget ) {\n\n\t\tthis._renderer.setRenderTarget( _oldTarget, _oldActiveCubeFace, _oldActiveMipmapLevel );\n\t\toutputTarget.scissorTest = false;\n\t\t_setViewport( outputTarget, 0, 0, outputTarget.width, outputTarget.height );\n\n\t}\n\n\t_fromTexture( texture, renderTarget ) {\n\n\t\tif ( texture.mapping === CubeReflectionMapping || texture.mapping === CubeRefractionMapping ) {\n\n\t\t\tthis._setSize( texture.image.length === 0 ? 16 : ( texture.image[ 0 ].width || texture.image[ 0 ].image.width ) );\n\n\t\t} else { // Equirectangular\n\n\t\t\tthis._setSize( texture.image.width / 4 );\n\n\t\t}\n\n\t\t_oldTarget = this._renderer.getRenderTarget();\n\t\t_oldActiveCubeFace = this._renderer.getActiveCubeFace();\n\t\t_oldActiveMipmapLevel = this._renderer.getActiveMipmapLevel();\n\n\t\tconst cubeUVRenderTarget = renderTarget || this._allocateTargets();\n\t\tthis._textureToCubeUV( texture, cubeUVRenderTarget );\n\t\tthis._applyPMREM( cubeUVRenderTarget );\n\t\tthis._cleanup( cubeUVRenderTarget );\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t_allocateTargets() {\n\n\t\tconst width = 3 * Math.max( this._cubeSize, 16 * 7 );\n\t\tconst height = 4 * this._cubeSize;\n\n\t\tconst params = {\n\t\t\tmagFilter: LinearFilter,\n\t\t\tminFilter: LinearFilter,\n\t\t\tgenerateMipmaps: false,\n\t\t\ttype: HalfFloatType,\n\t\t\tformat: RGBAFormat,\n\t\t\tcolorSpace: LinearSRGBColorSpace,\n\t\t\tdepthBuffer: false\n\t\t};\n\n\t\tconst cubeUVRenderTarget = _createRenderTarget( width, height, params );\n\n\t\tif ( this._pingPongRenderTarget === null || this._pingPongRenderTarget.width !== width || this._pingPongRenderTarget.height !== height ) {\n\n\t\t\tif ( this._pingPongRenderTarget !== null ) {\n\n\t\t\t\tthis._dispose();\n\n\t\t\t}\n\n\t\t\tthis._pingPongRenderTarget = _createRenderTarget( width, height, params );\n\n\t\t\tconst { _lodMax } = this;\n\t\t\t( { sizeLods: this._sizeLods, lodPlanes: this._lodPlanes, sigmas: this._sigmas } = _createPlanes( _lodMax ) );\n\n\t\t\tthis._blurMaterial = _getBlurShader( _lodMax, width, height );\n\n\t\t}\n\n\t\treturn cubeUVRenderTarget;\n\n\t}\n\n\t_compileMaterial( material ) {\n\n\t\tconst tmpMesh = new Mesh( this._lodPlanes[ 0 ], material );\n\t\tthis._renderer.compile( tmpMesh, _flatCamera );\n\n\t}\n\n\t_sceneToCubeUV( scene, near, far, cubeUVRenderTarget ) {\n\n\t\tconst fov = 90;\n\t\tconst aspect = 1;\n\t\tconst cubeCamera = new PerspectiveCamera( fov, aspect, near, far );\n\t\tconst upSign = [ 1, - 1, 1, 1, 1, 1 ];\n\t\tconst forwardSign = [ 1, 1, 1, - 1, - 1, - 1 ];\n\t\tconst renderer = this._renderer;\n\n\t\tconst originalAutoClear = renderer.autoClear;\n\t\tconst toneMapping = renderer.toneMapping;\n\t\trenderer.getClearColor( _clearColor );\n\n\t\trenderer.toneMapping = NoToneMapping;\n\t\trenderer.autoClear = false;\n\n\t\tconst backgroundMaterial = new MeshBasicMaterial( {\n\t\t\tname: 'PMREM.Background',\n\t\t\tside: BackSide,\n\t\t\tdepthWrite: false,\n\t\t\tdepthTest: false,\n\t\t} );\n\n\t\tconst backgroundBox = new Mesh( new BoxGeometry(), backgroundMaterial );\n\n\t\tlet useSolidColor = false;\n\t\tconst background = scene.background;\n\n\t\tif ( background ) {\n\n\t\t\tif ( background.isColor ) {\n\n\t\t\t\tbackgroundMaterial.color.copy( background );\n\t\t\t\tscene.background = null;\n\t\t\t\tuseSolidColor = true;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tbackgroundMaterial.color.copy( _clearColor );\n\t\t\tuseSolidColor = true;\n\n\t\t}\n\n\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\tconst col = i % 3;\n\n\t\t\tif ( col === 0 ) {\n\n\t\t\t\tcubeCamera.up.set( 0, upSign[ i ], 0 );\n\t\t\t\tcubeCamera.lookAt( forwardSign[ i ], 0, 0 );\n\n\t\t\t} else if ( col === 1 ) {\n\n\t\t\t\tcubeCamera.up.set( 0, 0, upSign[ i ] );\n\t\t\t\tcubeCamera.lookAt( 0, forwardSign[ i ], 0 );\n\n\t\t\t} else {\n\n\t\t\t\tcubeCamera.up.set( 0, upSign[ i ], 0 );\n\t\t\t\tcubeCamera.lookAt( 0, 0, forwardSign[ i ] );\n\n\t\t\t}\n\n\t\t\tconst size = this._cubeSize;\n\n\t\t\t_setViewport( cubeUVRenderTarget, col * size, i > 2 ? size : 0, size, size );\n\n\t\t\trenderer.setRenderTarget( cubeUVRenderTarget );\n\n\t\t\tif ( useSolidColor ) {\n\n\t\t\t\trenderer.render( backgroundBox, cubeCamera );\n\n\t\t\t}\n\n\t\t\trenderer.render( scene, cubeCamera );\n\n\t\t}\n\n\t\tbackgroundBox.geometry.dispose();\n\t\tbackgroundBox.material.dispose();\n\n\t\trenderer.toneMapping = toneMapping;\n\t\trenderer.autoClear = originalAutoClear;\n\t\tscene.background = background;\n\n\t}\n\n\t_textureToCubeUV( texture, cubeUVRenderTarget ) {\n\n\t\tconst renderer = this._renderer;\n\n\t\tconst isCubeTexture = ( texture.mapping === CubeReflectionMapping || texture.mapping === CubeRefractionMapping );\n\n\t\tif ( isCubeTexture ) {\n\n\t\t\tif ( this._cubemapMaterial === null ) {\n\n\t\t\t\tthis._cubemapMaterial = _getCubemapMaterial();\n\n\t\t\t}\n\n\t\t\tthis._cubemapMaterial.uniforms.flipEnvMap.value = ( texture.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t} else {\n\n\t\t\tif ( this._equirectMaterial === null ) {\n\n\t\t\t\tthis._equirectMaterial = _getEquirectMaterial();\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst material = isCubeTexture ? this._cubemapMaterial : this._equirectMaterial;\n\t\tconst mesh = new Mesh( this._lodPlanes[ 0 ], material );\n\n\t\tconst uniforms = material.uniforms;\n\n\t\tuniforms[ 'envMap' ].value = texture;\n\n\t\tconst size = this._cubeSize;\n\n\t\t_setViewport( cubeUVRenderTarget, 0, 0, 3 * size, 2 * size );\n\n\t\trenderer.setRenderTarget( cubeUVRenderTarget );\n\t\trenderer.render( mesh, _flatCamera );\n\n\t}\n\n\t_applyPMREM( cubeUVRenderTarget ) {\n\n\t\tconst renderer = this._renderer;\n\t\tconst autoClear = renderer.autoClear;\n\t\trenderer.autoClear = false;\n\n\t\tfor ( let i = 1; i < this._lodPlanes.length; i ++ ) {\n\n\t\t\tconst sigma = Math.sqrt( this._sigmas[ i ] * this._sigmas[ i ] - this._sigmas[ i - 1 ] * this._sigmas[ i - 1 ] );\n\n\t\t\tconst poleAxis = _axisDirections[ ( i - 1 ) % _axisDirections.length ];\n\n\t\t\tthis._blur( cubeUVRenderTarget, i - 1, i, sigma, poleAxis );\n\n\t\t}\n\n\t\trenderer.autoClear = autoClear;\n\n\t}\n\n\t/**\n\t * This is a two-pass Gaussian blur for a cubemap. Normally this is done\n\t * vertically and horizontally, but this breaks down on a cube. Here we apply\n\t * the blur latitudinally (around the poles), and then longitudinally (towards\n\t * the poles) to approximate the orthogonally-separable blur. It is least\n\t * accurate at the poles, but still does a decent job.\n\t */\n\t_blur( cubeUVRenderTarget, lodIn, lodOut, sigma, poleAxis ) {\n\n\t\tconst pingPongRenderTarget = this._pingPongRenderTarget;\n\n\t\tthis._halfBlur(\n\t\t\tcubeUVRenderTarget,\n\t\t\tpingPongRenderTarget,\n\t\t\tlodIn,\n\t\t\tlodOut,\n\t\t\tsigma,\n\t\t\t'latitudinal',\n\t\t\tpoleAxis );\n\n\t\tthis._halfBlur(\n\t\t\tpingPongRenderTarget,\n\t\t\tcubeUVRenderTarget,\n\t\t\tlodOut,\n\t\t\tlodOut,\n\t\t\tsigma,\n\t\t\t'longitudinal',\n\t\t\tpoleAxis );\n\n\t}\n\n\t_halfBlur( targetIn, targetOut, lodIn, lodOut, sigmaRadians, direction, poleAxis ) {\n\n\t\tconst renderer = this._renderer;\n\t\tconst blurMaterial = this._blurMaterial;\n\n\t\tif ( direction !== 'latitudinal' && direction !== 'longitudinal' ) {\n\n\t\t\tconsole.error(\n\t\t\t\t'blur direction must be either latitudinal or longitudinal!' );\n\n\t\t}\n\n\t\t// Number of standard deviations at which to cut off the discrete approximation.\n\t\tconst STANDARD_DEVIATIONS = 3;\n\n\t\tconst blurMesh = new Mesh( this._lodPlanes[ lodOut ], blurMaterial );\n\t\tconst blurUniforms = blurMaterial.uniforms;\n\n\t\tconst pixels = this._sizeLods[ lodIn ] - 1;\n\t\tconst radiansPerPixel = isFinite( sigmaRadians ) ? Math.PI / ( 2 * pixels ) : 2 * Math.PI / ( 2 * MAX_SAMPLES - 1 );\n\t\tconst sigmaPixels = sigmaRadians / radiansPerPixel;\n\t\tconst samples = isFinite( sigmaRadians ) ? 1 + Math.floor( STANDARD_DEVIATIONS * sigmaPixels ) : MAX_SAMPLES;\n\n\t\tif ( samples > MAX_SAMPLES ) {\n\n\t\t\tconsole.warn( `sigmaRadians, ${\n\t\t\t\tsigmaRadians}, is too large and will clip, as it requested ${\n\t\t\t\tsamples} samples when the maximum is set to ${MAX_SAMPLES}` );\n\n\t\t}\n\n\t\tconst weights = [];\n\t\tlet sum = 0;\n\n\t\tfor ( let i = 0; i < MAX_SAMPLES; ++ i ) {\n\n\t\t\tconst x = i / sigmaPixels;\n\t\t\tconst weight = Math.exp( - x * x / 2 );\n\t\t\tweights.push( weight );\n\n\t\t\tif ( i === 0 ) {\n\n\t\t\t\tsum += weight;\n\n\t\t\t} else if ( i < samples ) {\n\n\t\t\t\tsum += 2 * weight;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfor ( let i = 0; i < weights.length; i ++ ) {\n\n\t\t\tweights[ i ] = weights[ i ] / sum;\n\n\t\t}\n\n\t\tblurUniforms[ 'envMap' ].value = targetIn.texture;\n\t\tblurUniforms[ 'samples' ].value = samples;\n\t\tblurUniforms[ 'weights' ].value = weights;\n\t\tblurUniforms[ 'latitudinal' ].value = direction === 'latitudinal';\n\n\t\tif ( poleAxis ) {\n\n\t\t\tblurUniforms[ 'poleAxis' ].value = poleAxis;\n\n\t\t}\n\n\t\tconst { _lodMax } = this;\n\t\tblurUniforms[ 'dTheta' ].value = radiansPerPixel;\n\t\tblurUniforms[ 'mipInt' ].value = _lodMax - lodIn;\n\n\t\tconst outputSize = this._sizeLods[ lodOut ];\n\t\tconst x = 3 * outputSize * ( lodOut > _lodMax - LOD_MIN ? lodOut - _lodMax + LOD_MIN : 0 );\n\t\tconst y = 4 * ( this._cubeSize - outputSize );\n\n\t\t_setViewport( targetOut, x, y, 3 * outputSize, 2 * outputSize );\n\t\trenderer.setRenderTarget( targetOut );\n\t\trenderer.render( blurMesh, _flatCamera );\n\n\t}\n\n}\n\n\n\nfunction _createPlanes( lodMax ) {\n\n\tconst lodPlanes = [];\n\tconst sizeLods = [];\n\tconst sigmas = [];\n\n\tlet lod = lodMax;\n\n\tconst totalLods = lodMax - LOD_MIN + 1 + EXTRA_LOD_SIGMA.length;\n\n\tfor ( let i = 0; i < totalLods; i ++ ) {\n\n\t\tconst sizeLod = Math.pow( 2, lod );\n\t\tsizeLods.push( sizeLod );\n\t\tlet sigma = 1.0 / sizeLod;\n\n\t\tif ( i > lodMax - LOD_MIN ) {\n\n\t\t\tsigma = EXTRA_LOD_SIGMA[ i - lodMax + LOD_MIN - 1 ];\n\n\t\t} else if ( i === 0 ) {\n\n\t\t\tsigma = 0;\n\n\t\t}\n\n\t\tsigmas.push( sigma );\n\n\t\tconst texelSize = 1.0 / ( sizeLod - 2 );\n\t\tconst min = - texelSize;\n\t\tconst max = 1 + texelSize;\n\t\tconst uv1 = [ min, min, max, min, max, max, min, min, max, max, min, max ];\n\n\t\tconst cubeFaces = 6;\n\t\tconst vertices = 6;\n\t\tconst positionSize = 3;\n\t\tconst uvSize = 2;\n\t\tconst faceIndexSize = 1;\n\n\t\tconst position = new Float32Array( positionSize * vertices * cubeFaces );\n\t\tconst uv = new Float32Array( uvSize * vertices * cubeFaces );\n\t\tconst faceIndex = new Float32Array( faceIndexSize * vertices * cubeFaces );\n\n\t\tfor ( let face = 0; face < cubeFaces; face ++ ) {\n\n\t\t\tconst x = ( face % 3 ) * 2 / 3 - 1;\n\t\t\tconst y = face > 2 ? 0 : - 1;\n\t\t\tconst coordinates = [\n\t\t\t\tx, y, 0,\n\t\t\t\tx + 2 / 3, y, 0,\n\t\t\t\tx + 2 / 3, y + 1, 0,\n\t\t\t\tx, y, 0,\n\t\t\t\tx + 2 / 3, y + 1, 0,\n\t\t\t\tx, y + 1, 0\n\t\t\t];\n\t\t\tposition.set( coordinates, positionSize * vertices * face );\n\t\t\tuv.set( uv1, uvSize * vertices * face );\n\t\t\tconst fill = [ face, face, face, face, face, face ];\n\t\t\tfaceIndex.set( fill, faceIndexSize * vertices * face );\n\n\t\t}\n\n\t\tconst planes = new BufferGeometry();\n\t\tplanes.setAttribute( 'position', new BufferAttribute( position, positionSize ) );\n\t\tplanes.setAttribute( 'uv', new BufferAttribute( uv, uvSize ) );\n\t\tplanes.setAttribute( 'faceIndex', new BufferAttribute( faceIndex, faceIndexSize ) );\n\t\tlodPlanes.push( planes );\n\n\t\tif ( lod > LOD_MIN ) {\n\n\t\t\tlod --;\n\n\t\t}\n\n\t}\n\n\treturn { lodPlanes, sizeLods, sigmas };\n\n}\n\nfunction _createRenderTarget( width, height, params ) {\n\n\tconst cubeUVRenderTarget = new WebGLRenderTarget( width, height, params );\n\tcubeUVRenderTarget.texture.mapping = CubeUVReflectionMapping;\n\tcubeUVRenderTarget.texture.name = 'PMREM.cubeUv';\n\tcubeUVRenderTarget.scissorTest = true;\n\treturn cubeUVRenderTarget;\n\n}\n\nfunction _setViewport( target, x, y, width, height ) {\n\n\ttarget.viewport.set( x, y, width, height );\n\ttarget.scissor.set( x, y, width, height );\n\n}\n\nfunction _getBlurShader( lodMax, width, height ) {\n\n\tconst weights = new Float32Array( MAX_SAMPLES );\n\tconst poleAxis = new Vector3( 0, 1, 0 );\n\tconst shaderMaterial = new ShaderMaterial( {\n\n\t\tname: 'SphericalGaussianBlur',\n\n\t\tdefines: {\n\t\t\t'n': MAX_SAMPLES,\n\t\t\t'CUBEUV_TEXEL_WIDTH': 1.0 / width,\n\t\t\t'CUBEUV_TEXEL_HEIGHT': 1.0 / height,\n\t\t\t'CUBEUV_MAX_MIP': `${lodMax}.0`,\n\t\t},\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null },\n\t\t\t'samples': { value: 1 },\n\t\t\t'weights': { value: weights },\n\t\t\t'latitudinal': { value: false },\n\t\t\t'dTheta': { value: 0 },\n\t\t\t'mipInt': { value: 0 },\n\t\t\t'poleAxis': { value: poleAxis }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform sampler2D envMap;\n\t\t\tuniform int samples;\n\t\t\tuniform float weights[ n ];\n\t\t\tuniform bool latitudinal;\n\t\t\tuniform float dTheta;\n\t\t\tuniform float mipInt;\n\t\t\tuniform vec3 poleAxis;\n\n\t\t\t#define ENVMAP_TYPE_CUBE_UV\n\t\t\t#include \n\n\t\t\tvec3 getSample( float theta, vec3 axis ) {\n\n\t\t\t\tfloat cosTheta = cos( theta );\n\t\t\t\t// Rodrigues' axis-angle rotation\n\t\t\t\tvec3 sampleDirection = vOutputDirection * cosTheta\n\t\t\t\t\t+ cross( axis, vOutputDirection ) * sin( theta )\n\t\t\t\t\t+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );\n\n\t\t\t\treturn bilinearCubeUV( envMap, sampleDirection, mipInt );\n\n\t\t\t}\n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );\n\n\t\t\t\tif ( all( equal( axis, vec3( 0.0 ) ) ) ) {\n\n\t\t\t\t\taxis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );\n\n\t\t\t\t}\n\n\t\t\t\taxis = normalize( axis );\n\n\t\t\t\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\n\t\t\t\tgl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );\n\n\t\t\t\tfor ( int i = 1; i < n; i++ ) {\n\n\t\t\t\t\tif ( i >= samples ) {\n\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfloat theta = dTheta * float( i );\n\t\t\t\t\tgl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );\n\t\t\t\t\tgl_FragColor.rgb += weights[ i ] * getSample( theta, axis );\n\n\t\t\t\t}\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n\treturn shaderMaterial;\n\n}\n\nfunction _getEquirectMaterial() {\n\n\treturn new ShaderMaterial( {\n\n\t\tname: 'EquirectangularToCubeUV',\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform sampler2D envMap;\n\n\t\t\t#include \n\n\t\t\tvoid main() {\n\n\t\t\t\tvec3 outputDirection = normalize( vOutputDirection );\n\t\t\t\tvec2 uv = equirectUv( outputDirection );\n\n\t\t\t\tgl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 );\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n}\n\nfunction _getCubemapMaterial() {\n\n\treturn new ShaderMaterial( {\n\n\t\tname: 'CubemapToCubeUV',\n\n\t\tuniforms: {\n\t\t\t'envMap': { value: null },\n\t\t\t'flipEnvMap': { value: - 1 }\n\t\t},\n\n\t\tvertexShader: _getCommonVertexShader(),\n\n\t\tfragmentShader: /* glsl */`\n\n\t\t\tprecision mediump float;\n\t\t\tprecision mediump int;\n\n\t\t\tuniform float flipEnvMap;\n\n\t\t\tvarying vec3 vOutputDirection;\n\n\t\t\tuniform samplerCube envMap;\n\n\t\t\tvoid main() {\n\n\t\t\t\tgl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) );\n\n\t\t\t}\n\t\t`,\n\n\t\tblending: NoBlending,\n\t\tdepthTest: false,\n\t\tdepthWrite: false\n\n\t} );\n\n}\n\nfunction _getCommonVertexShader() {\n\n\treturn /* glsl */`\n\n\t\tprecision mediump float;\n\t\tprecision mediump int;\n\n\t\tattribute float faceIndex;\n\n\t\tvarying vec3 vOutputDirection;\n\n\t\t// RH coordinate system; PMREM face-indexing convention\n\t\tvec3 getDirection( vec2 uv, float face ) {\n\n\t\t\tuv = 2.0 * uv - 1.0;\n\n\t\t\tvec3 direction = vec3( uv, 1.0 );\n\n\t\t\tif ( face == 0.0 ) {\n\n\t\t\t\tdirection = direction.zyx; // ( 1, v, u ) pos x\n\n\t\t\t} else if ( face == 1.0 ) {\n\n\t\t\t\tdirection = direction.xzy;\n\t\t\t\tdirection.xz *= -1.0; // ( -u, 1, -v ) pos y\n\n\t\t\t} else if ( face == 2.0 ) {\n\n\t\t\t\tdirection.x *= -1.0; // ( -u, v, 1 ) pos z\n\n\t\t\t} else if ( face == 3.0 ) {\n\n\t\t\t\tdirection = direction.zyx;\n\t\t\t\tdirection.xz *= -1.0; // ( -1, v, -u ) neg x\n\n\t\t\t} else if ( face == 4.0 ) {\n\n\t\t\t\tdirection = direction.xzy;\n\t\t\t\tdirection.xy *= -1.0; // ( -u, -1, v ) neg y\n\n\t\t\t} else if ( face == 5.0 ) {\n\n\t\t\t\tdirection.z *= -1.0; // ( u, v, -1 ) neg z\n\n\t\t\t}\n\n\t\t\treturn direction;\n\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvOutputDirection = getDirection( uv, faceIndex );\n\t\t\tgl_Position = vec4( position, 1.0 );\n\n\t\t}\n\t`;\n\n}\n\nfunction WebGLCubeUVMaps( renderer ) {\n\n\tlet cubeUVmaps = new WeakMap();\n\n\tlet pmremGenerator = null;\n\n\tfunction get( texture ) {\n\n\t\tif ( texture && texture.isTexture ) {\n\n\t\t\tconst mapping = texture.mapping;\n\n\t\t\tconst isEquirectMap = ( mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping );\n\t\t\tconst isCubeMap = ( mapping === CubeReflectionMapping || mapping === CubeRefractionMapping );\n\n\t\t\t// equirect/cube map to cubeUV conversion\n\n\t\t\tif ( isEquirectMap || isCubeMap ) {\n\n\t\t\t\tif ( texture.isRenderTargetTexture && texture.needsPMREMUpdate === true ) {\n\n\t\t\t\t\ttexture.needsPMREMUpdate = false;\n\n\t\t\t\t\tlet renderTarget = cubeUVmaps.get( texture );\n\n\t\t\t\t\tif ( pmremGenerator === null ) pmremGenerator = new PMREMGenerator( renderer );\n\n\t\t\t\t\trenderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular( texture, renderTarget ) : pmremGenerator.fromCubemap( texture, renderTarget );\n\t\t\t\t\tcubeUVmaps.set( texture, renderTarget );\n\n\t\t\t\t\treturn renderTarget.texture;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( cubeUVmaps.has( texture ) ) {\n\n\t\t\t\t\t\treturn cubeUVmaps.get( texture ).texture;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst image = texture.image;\n\n\t\t\t\t\t\tif ( ( isEquirectMap && image && image.height > 0 ) || ( isCubeMap && image && isCubeTextureComplete( image ) ) ) {\n\n\t\t\t\t\t\t\tif ( pmremGenerator === null ) pmremGenerator = new PMREMGenerator( renderer );\n\n\t\t\t\t\t\t\tconst renderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular( texture ) : pmremGenerator.fromCubemap( texture );\n\t\t\t\t\t\t\tcubeUVmaps.set( texture, renderTarget );\n\n\t\t\t\t\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t\t\t\t\t\treturn renderTarget.texture;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// image not yet ready. try the conversion next frame\n\n\t\t\t\t\t\t\treturn null;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tfunction isCubeTextureComplete( image ) {\n\n\t\tlet count = 0;\n\t\tconst length = 6;\n\n\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\tif ( image[ i ] !== undefined ) count ++;\n\n\t\t}\n\n\t\treturn count === length;\n\n\n\t}\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tconst cubemapUV = cubeUVmaps.get( texture );\n\n\t\tif ( cubemapUV !== undefined ) {\n\n\t\t\tcubeUVmaps.delete( texture );\n\t\t\tcubemapUV.dispose();\n\n\t\t}\n\n\t}\n\n\tfunction dispose() {\n\n\t\tcubeUVmaps = new WeakMap();\n\n\t\tif ( pmremGenerator !== null ) {\n\n\t\t\tpmremGenerator.dispose();\n\t\t\tpmremGenerator = null;\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction WebGLExtensions( gl ) {\n\n\tconst extensions = {};\n\n\tfunction getExtension( name ) {\n\n\t\tif ( extensions[ name ] !== undefined ) {\n\n\t\t\treturn extensions[ name ];\n\n\t\t}\n\n\t\tlet extension;\n\n\t\tswitch ( name ) {\n\n\t\t\tcase 'WEBGL_depth_texture':\n\t\t\t\textension = gl.getExtension( 'WEBGL_depth_texture' ) || gl.getExtension( 'MOZ_WEBGL_depth_texture' ) || gl.getExtension( 'WEBKIT_WEBGL_depth_texture' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'EXT_texture_filter_anisotropic':\n\t\t\t\textension = gl.getExtension( 'EXT_texture_filter_anisotropic' ) || gl.getExtension( 'MOZ_EXT_texture_filter_anisotropic' ) || gl.getExtension( 'WEBKIT_EXT_texture_filter_anisotropic' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'WEBGL_compressed_texture_s3tc':\n\t\t\t\textension = gl.getExtension( 'WEBGL_compressed_texture_s3tc' ) || gl.getExtension( 'MOZ_WEBGL_compressed_texture_s3tc' ) || gl.getExtension( 'WEBKIT_WEBGL_compressed_texture_s3tc' );\n\t\t\t\tbreak;\n\n\t\t\tcase 'WEBGL_compressed_texture_pvrtc':\n\t\t\t\textension = gl.getExtension( 'WEBGL_compressed_texture_pvrtc' ) || gl.getExtension( 'WEBKIT_WEBGL_compressed_texture_pvrtc' );\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\textension = gl.getExtension( name );\n\n\t\t}\n\n\t\textensions[ name ] = extension;\n\n\t\treturn extension;\n\n\t}\n\n\treturn {\n\n\t\thas: function ( name ) {\n\n\t\t\treturn getExtension( name ) !== null;\n\n\t\t},\n\n\t\tinit: function ( capabilities ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\tgetExtension( 'EXT_color_buffer_float' );\n\t\t\t\tgetExtension( 'WEBGL_clip_cull_distance' );\n\n\t\t\t} else {\n\n\t\t\t\tgetExtension( 'WEBGL_depth_texture' );\n\t\t\t\tgetExtension( 'OES_texture_float' );\n\t\t\t\tgetExtension( 'OES_texture_half_float' );\n\t\t\t\tgetExtension( 'OES_texture_half_float_linear' );\n\t\t\t\tgetExtension( 'OES_standard_derivatives' );\n\t\t\t\tgetExtension( 'OES_element_index_uint' );\n\t\t\t\tgetExtension( 'OES_vertex_array_object' );\n\t\t\t\tgetExtension( 'ANGLE_instanced_arrays' );\n\n\t\t\t}\n\n\t\t\tgetExtension( 'OES_texture_float_linear' );\n\t\t\tgetExtension( 'EXT_color_buffer_half_float' );\n\t\t\tgetExtension( 'WEBGL_multisampled_render_to_texture' );\n\n\t\t},\n\n\t\tget: function ( name ) {\n\n\t\t\tconst extension = getExtension( name );\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: ' + name + ' extension not supported.' );\n\n\t\t\t}\n\n\t\t\treturn extension;\n\n\t\t}\n\n\t};\n\n}\n\nfunction WebGLGeometries( gl, attributes, info, bindingStates ) {\n\n\tconst geometries = {};\n\tconst wireframeAttributes = new WeakMap();\n\n\tfunction onGeometryDispose( event ) {\n\n\t\tconst geometry = event.target;\n\n\t\tif ( geometry.index !== null ) {\n\n\t\t\tattributes.remove( geometry.index );\n\n\t\t}\n\n\t\tfor ( const name in geometry.attributes ) {\n\n\t\t\tattributes.remove( geometry.attributes[ name ] );\n\n\t\t}\n\n\t\tfor ( const name in geometry.morphAttributes ) {\n\n\t\t\tconst array = geometry.morphAttributes[ name ];\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tattributes.remove( array[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.removeEventListener( 'dispose', onGeometryDispose );\n\n\t\tdelete geometries[ geometry.id ];\n\n\t\tconst attribute = wireframeAttributes.get( geometry );\n\n\t\tif ( attribute ) {\n\n\t\t\tattributes.remove( attribute );\n\t\t\twireframeAttributes.delete( geometry );\n\n\t\t}\n\n\t\tbindingStates.releaseStatesOfGeometry( geometry );\n\n\t\tif ( geometry.isInstancedBufferGeometry === true ) {\n\n\t\t\tdelete geometry._maxInstanceCount;\n\n\t\t}\n\n\t\t//\n\n\t\tinfo.memory.geometries --;\n\n\t}\n\n\tfunction get( object, geometry ) {\n\n\t\tif ( geometries[ geometry.id ] === true ) return geometry;\n\n\t\tgeometry.addEventListener( 'dispose', onGeometryDispose );\n\n\t\tgeometries[ geometry.id ] = true;\n\n\t\tinfo.memory.geometries ++;\n\n\t\treturn geometry;\n\n\t}\n\n\tfunction update( geometry ) {\n\n\t\tconst geometryAttributes = geometry.attributes;\n\n\t\t// Updating index buffer in VAO now. See WebGLBindingStates.\n\n\t\tfor ( const name in geometryAttributes ) {\n\n\t\t\tattributes.update( geometryAttributes[ name ], gl.ARRAY_BUFFER );\n\n\t\t}\n\n\t\t// morph targets\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\n\t\tfor ( const name in morphAttributes ) {\n\n\t\t\tconst array = morphAttributes[ name ];\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i ++ ) {\n\n\t\t\t\tattributes.update( array[ i ], gl.ARRAY_BUFFER );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction updateWireframeAttribute( geometry ) {\n\n\t\tconst indices = [];\n\n\t\tconst geometryIndex = geometry.index;\n\t\tconst geometryPosition = geometry.attributes.position;\n\t\tlet version = 0;\n\n\t\tif ( geometryIndex !== null ) {\n\n\t\t\tconst array = geometryIndex.array;\n\t\t\tversion = geometryIndex.version;\n\n\t\t\tfor ( let i = 0, l = array.length; i < l; i += 3 ) {\n\n\t\t\t\tconst a = array[ i + 0 ];\n\t\t\t\tconst b = array[ i + 1 ];\n\t\t\t\tconst c = array[ i + 2 ];\n\n\t\t\t\tindices.push( a, b, b, c, c, a );\n\n\t\t\t}\n\n\t\t} else if ( geometryPosition !== undefined ) {\n\n\t\t\tconst array = geometryPosition.array;\n\t\t\tversion = geometryPosition.version;\n\n\t\t\tfor ( let i = 0, l = ( array.length / 3 ) - 1; i < l; i += 3 ) {\n\n\t\t\t\tconst a = i + 0;\n\t\t\t\tconst b = i + 1;\n\t\t\t\tconst c = i + 2;\n\n\t\t\t\tindices.push( a, b, b, c, c, a );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst attribute = new ( arrayNeedsUint32( indices ) ? Uint32BufferAttribute : Uint16BufferAttribute )( indices, 1 );\n\t\tattribute.version = version;\n\n\t\t// Updating index buffer in VAO now. See WebGLBindingStates\n\n\t\t//\n\n\t\tconst previousAttribute = wireframeAttributes.get( geometry );\n\n\t\tif ( previousAttribute ) attributes.remove( previousAttribute );\n\n\t\t//\n\n\t\twireframeAttributes.set( geometry, attribute );\n\n\t}\n\n\tfunction getWireframeAttribute( geometry ) {\n\n\t\tconst currentAttribute = wireframeAttributes.get( geometry );\n\n\t\tif ( currentAttribute ) {\n\n\t\t\tconst geometryIndex = geometry.index;\n\n\t\t\tif ( geometryIndex !== null ) {\n\n\t\t\t\t// if the attribute is obsolete, create a new one\n\n\t\t\t\tif ( currentAttribute.version < geometryIndex.version ) {\n\n\t\t\t\t\tupdateWireframeAttribute( geometry );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tupdateWireframeAttribute( geometry );\n\n\t\t}\n\n\t\treturn wireframeAttributes.get( geometry );\n\n\t}\n\n\treturn {\n\n\t\tget: get,\n\t\tupdate: update,\n\n\t\tgetWireframeAttribute: getWireframeAttribute\n\n\t};\n\n}\n\nfunction WebGLIndexedBufferRenderer( gl, extensions, info, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tlet mode;\n\n\tfunction setMode( value ) {\n\n\t\tmode = value;\n\n\t}\n\n\tlet type, bytesPerElement;\n\n\tfunction setIndex( value ) {\n\n\t\ttype = value.type;\n\t\tbytesPerElement = value.bytesPerElement;\n\n\t}\n\n\tfunction render( start, count ) {\n\n\t\tgl.drawElements( mode, count, type, start * bytesPerElement );\n\n\t\tinfo.update( count, mode, 1 );\n\n\t}\n\n\tfunction renderInstances( start, count, primcount ) {\n\n\t\tif ( primcount === 0 ) return;\n\n\t\tlet extension, methodName;\n\n\t\tif ( isWebGL2 ) {\n\n\t\t\textension = gl;\n\t\t\tmethodName = 'drawElementsInstanced';\n\n\t\t} else {\n\n\t\t\textension = extensions.get( 'ANGLE_instanced_arrays' );\n\t\t\tmethodName = 'drawElementsInstancedANGLE';\n\n\t\t\tif ( extension === null ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\textension[ methodName ]( mode, count, type, start * bytesPerElement, primcount );\n\n\t\tinfo.update( count, mode, primcount );\n\n\t}\n\n\tfunction renderMultiDraw( starts, counts, drawCount ) {\n\n\t\tif ( drawCount === 0 ) return;\n\n\t\tconst extension = extensions.get( 'WEBGL_multi_draw' );\n\t\tif ( extension === null ) {\n\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\tthis.render( starts[ i ] / bytesPerElement, counts[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\textension.multiDrawElementsWEBGL( mode, counts, 0, type, starts, 0, drawCount );\n\n\t\t\tlet elementCount = 0;\n\t\t\tfor ( let i = 0; i < drawCount; i ++ ) {\n\n\t\t\t\telementCount += counts[ i ];\n\n\t\t\t}\n\n\t\t\tinfo.update( elementCount, mode, 1 );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tthis.setMode = setMode;\n\tthis.setIndex = setIndex;\n\tthis.render = render;\n\tthis.renderInstances = renderInstances;\n\tthis.renderMultiDraw = renderMultiDraw;\n\n}\n\nfunction WebGLInfo( gl ) {\n\n\tconst memory = {\n\t\tgeometries: 0,\n\t\ttextures: 0\n\t};\n\n\tconst render = {\n\t\tframe: 0,\n\t\tcalls: 0,\n\t\ttriangles: 0,\n\t\tpoints: 0,\n\t\tlines: 0\n\t};\n\n\tfunction update( count, mode, instanceCount ) {\n\n\t\trender.calls ++;\n\n\t\tswitch ( mode ) {\n\n\t\t\tcase gl.TRIANGLES:\n\t\t\t\trender.triangles += instanceCount * ( count / 3 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINES:\n\t\t\t\trender.lines += instanceCount * ( count / 2 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINE_STRIP:\n\t\t\t\trender.lines += instanceCount * ( count - 1 );\n\t\t\t\tbreak;\n\n\t\t\tcase gl.LINE_LOOP:\n\t\t\t\trender.lines += instanceCount * count;\n\t\t\t\tbreak;\n\n\t\t\tcase gl.POINTS:\n\t\t\t\trender.points += instanceCount * count;\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tconsole.error( 'THREE.WebGLInfo: Unknown draw mode:', mode );\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\tfunction reset() {\n\n\t\trender.calls = 0;\n\t\trender.triangles = 0;\n\t\trender.points = 0;\n\t\trender.lines = 0;\n\n\t}\n\n\treturn {\n\t\tmemory: memory,\n\t\trender: render,\n\t\tprograms: null,\n\t\tautoReset: true,\n\t\treset: reset,\n\t\tupdate: update\n\t};\n\n}\n\nfunction numericalSort( a, b ) {\n\n\treturn a[ 0 ] - b[ 0 ];\n\n}\n\nfunction absNumericalSort( a, b ) {\n\n\treturn Math.abs( b[ 1 ] ) - Math.abs( a[ 1 ] );\n\n}\n\nfunction WebGLMorphtargets( gl, capabilities, textures ) {\n\n\tconst influencesList = {};\n\tconst morphInfluences = new Float32Array( 8 );\n\tconst morphTextures = new WeakMap();\n\tconst morph = new Vector4();\n\n\tconst workInfluences = [];\n\n\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\tworkInfluences[ i ] = [ i, 0 ];\n\n\t}\n\n\tfunction update( object, geometry, program ) {\n\n\t\tconst objectInfluences = object.morphTargetInfluences;\n\n\t\tif ( capabilities.isWebGL2 === true ) {\n\n\t\t\t// instead of using attributes, the WebGL 2 code path encodes morph targets\n\t\t\t// into an array of data textures. Each layer represents a single morph target.\n\n\t\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\t\tlet entry = morphTextures.get( geometry );\n\n\t\t\tif ( entry === undefined || entry.count !== morphTargetsCount ) {\n\n\t\t\t\tif ( entry !== undefined ) entry.texture.dispose();\n\n\t\t\t\tconst hasMorphPosition = geometry.morphAttributes.position !== undefined;\n\t\t\t\tconst hasMorphNormals = geometry.morphAttributes.normal !== undefined;\n\t\t\t\tconst hasMorphColors = geometry.morphAttributes.color !== undefined;\n\n\t\t\t\tconst morphTargets = geometry.morphAttributes.position || [];\n\t\t\t\tconst morphNormals = geometry.morphAttributes.normal || [];\n\t\t\t\tconst morphColors = geometry.morphAttributes.color || [];\n\n\t\t\t\tlet vertexDataCount = 0;\n\n\t\t\t\tif ( hasMorphPosition === true ) vertexDataCount = 1;\n\t\t\t\tif ( hasMorphNormals === true ) vertexDataCount = 2;\n\t\t\t\tif ( hasMorphColors === true ) vertexDataCount = 3;\n\n\t\t\t\tlet width = geometry.attributes.position.count * vertexDataCount;\n\t\t\t\tlet height = 1;\n\n\t\t\t\tif ( width > capabilities.maxTextureSize ) {\n\n\t\t\t\t\theight = Math.ceil( width / capabilities.maxTextureSize );\n\t\t\t\t\twidth = capabilities.maxTextureSize;\n\n\t\t\t\t}\n\n\t\t\t\tconst buffer = new Float32Array( width * height * 4 * morphTargetsCount );\n\n\t\t\t\tconst texture = new DataArrayTexture( buffer, width, height, morphTargetsCount );\n\t\t\t\ttexture.type = FloatType;\n\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t// fill buffer\n\n\t\t\t\tconst vertexDataStride = vertexDataCount * 4;\n\n\t\t\t\tfor ( let i = 0; i < morphTargetsCount; i ++ ) {\n\n\t\t\t\t\tconst morphTarget = morphTargets[ i ];\n\t\t\t\t\tconst morphNormal = morphNormals[ i ];\n\t\t\t\t\tconst morphColor = morphColors[ i ];\n\n\t\t\t\t\tconst offset = width * height * 4 * i;\n\n\t\t\t\t\tfor ( let j = 0; j < morphTarget.count; j ++ ) {\n\n\t\t\t\t\t\tconst stride = j * vertexDataStride;\n\n\t\t\t\t\t\tif ( hasMorphPosition === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphTarget, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 0 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 1 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 2 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 3 ] = 0;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( hasMorphNormals === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphNormal, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 4 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 5 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 6 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 7 ] = 0;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( hasMorphColors === true ) {\n\n\t\t\t\t\t\t\tmorph.fromBufferAttribute( morphColor, j );\n\n\t\t\t\t\t\t\tbuffer[ offset + stride + 8 ] = morph.x;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 9 ] = morph.y;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 10 ] = morph.z;\n\t\t\t\t\t\t\tbuffer[ offset + stride + 11 ] = ( morphColor.itemSize === 4 ) ? morph.w : 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tentry = {\n\t\t\t\t\tcount: morphTargetsCount,\n\t\t\t\t\ttexture: texture,\n\t\t\t\t\tsize: new Vector2( width, height )\n\t\t\t\t};\n\n\t\t\t\tmorphTextures.set( geometry, entry );\n\n\t\t\t\tfunction disposeTexture() {\n\n\t\t\t\t\ttexture.dispose();\n\n\t\t\t\t\tmorphTextures.delete( geometry );\n\n\t\t\t\t\tgeometry.removeEventListener( 'dispose', disposeTexture );\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.addEventListener( 'dispose', disposeTexture );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet morphInfluencesSum = 0;\n\n\t\t\tfor ( let i = 0; i < objectInfluences.length; i ++ ) {\n\n\t\t\t\tmorphInfluencesSum += objectInfluences[ i ];\n\n\t\t\t}\n\n\t\t\tconst morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetBaseInfluence', morphBaseInfluence );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetInfluences', objectInfluences );\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetsTexture', entry.texture, textures );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetsTextureSize', entry.size );\n\n\n\t\t} else {\n\n\t\t\t// When object doesn't have morph target influences defined, we treat it as a 0-length array\n\t\t\t// This is important to make sure we set up morphTargetBaseInfluence / morphTargetInfluences\n\n\t\t\tconst length = objectInfluences === undefined ? 0 : objectInfluences.length;\n\n\t\t\tlet influences = influencesList[ geometry.id ];\n\n\t\t\tif ( influences === undefined || influences.length !== length ) {\n\n\t\t\t\t// initialise list\n\n\t\t\t\tinfluences = [];\n\n\t\t\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\t\t\tinfluences[ i ] = [ i, 0 ];\n\n\t\t\t\t}\n\n\t\t\t\tinfluencesList[ geometry.id ] = influences;\n\n\t\t\t}\n\n\t\t\t// Collect influences\n\n\t\t\tfor ( let i = 0; i < length; i ++ ) {\n\n\t\t\t\tconst influence = influences[ i ];\n\n\t\t\t\tinfluence[ 0 ] = i;\n\t\t\t\tinfluence[ 1 ] = objectInfluences[ i ];\n\n\t\t\t}\n\n\t\t\tinfluences.sort( absNumericalSort );\n\n\t\t\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\t\t\tif ( i < length && influences[ i ][ 1 ] ) {\n\n\t\t\t\t\tworkInfluences[ i ][ 0 ] = influences[ i ][ 0 ];\n\t\t\t\t\tworkInfluences[ i ][ 1 ] = influences[ i ][ 1 ];\n\n\t\t\t\t} else {\n\n\t\t\t\t\tworkInfluences[ i ][ 0 ] = Number.MAX_SAFE_INTEGER;\n\t\t\t\t\tworkInfluences[ i ][ 1 ] = 0;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tworkInfluences.sort( numericalSort );\n\n\t\t\tconst morphTargets = geometry.morphAttributes.position;\n\t\t\tconst morphNormals = geometry.morphAttributes.normal;\n\n\t\t\tlet morphInfluencesSum = 0;\n\n\t\t\tfor ( let i = 0; i < 8; i ++ ) {\n\n\t\t\t\tconst influence = workInfluences[ i ];\n\t\t\t\tconst index = influence[ 0 ];\n\t\t\t\tconst value = influence[ 1 ];\n\n\t\t\t\tif ( index !== Number.MAX_SAFE_INTEGER && value ) {\n\n\t\t\t\t\tif ( morphTargets && geometry.getAttribute( 'morphTarget' + i ) !== morphTargets[ index ] ) {\n\n\t\t\t\t\t\tgeometry.setAttribute( 'morphTarget' + i, morphTargets[ index ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( morphNormals && geometry.getAttribute( 'morphNormal' + i ) !== morphNormals[ index ] ) {\n\n\t\t\t\t\t\tgeometry.setAttribute( 'morphNormal' + i, morphNormals[ index ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tmorphInfluences[ i ] = value;\n\t\t\t\t\tmorphInfluencesSum += value;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( morphTargets && geometry.hasAttribute( 'morphTarget' + i ) === true ) {\n\n\t\t\t\t\t\tgeometry.deleteAttribute( 'morphTarget' + i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( morphNormals && geometry.hasAttribute( 'morphNormal' + i ) === true ) {\n\n\t\t\t\t\t\tgeometry.deleteAttribute( 'morphNormal' + i );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tmorphInfluences[ i ] = 0;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// GLSL shader uses formula baseinfluence * base + sum(target * influence)\n\t\t\t// This allows us to switch between absolute morphs and relative morphs without changing shader code\n\t\t\t// When baseinfluence = 1 - sum(influence), the above is equivalent to sum((target - base) * influence)\n\t\t\tconst morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetBaseInfluence', morphBaseInfluence );\n\t\t\tprogram.getUniforms().setValue( gl, 'morphTargetInfluences', morphInfluences );\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\tupdate: update\n\n\t};\n\n}\n\nfunction WebGLObjects( gl, geometries, attributes, info ) {\n\n\tlet updateMap = new WeakMap();\n\n\tfunction update( object ) {\n\n\t\tconst frame = info.render.frame;\n\n\t\tconst geometry = object.geometry;\n\t\tconst buffergeometry = geometries.get( object, geometry );\n\n\t\t// Update once per frame\n\n\t\tif ( updateMap.get( buffergeometry ) !== frame ) {\n\n\t\t\tgeometries.update( buffergeometry );\n\n\t\t\tupdateMap.set( buffergeometry, frame );\n\n\t\t}\n\n\t\tif ( object.isInstancedMesh ) {\n\n\t\t\tif ( object.hasEventListener( 'dispose', onInstancedMeshDispose ) === false ) {\n\n\t\t\t\tobject.addEventListener( 'dispose', onInstancedMeshDispose );\n\n\t\t\t}\n\n\t\t\tif ( updateMap.get( object ) !== frame ) {\n\n\t\t\t\tattributes.update( object.instanceMatrix, gl.ARRAY_BUFFER );\n\n\t\t\t\tif ( object.instanceColor !== null ) {\n\n\t\t\t\t\tattributes.update( object.instanceColor, gl.ARRAY_BUFFER );\n\n\t\t\t\t}\n\n\t\t\t\tupdateMap.set( object, frame );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( object.isSkinnedMesh ) {\n\n\t\t\tconst skeleton = object.skeleton;\n\n\t\t\tif ( updateMap.get( skeleton ) !== frame ) {\n\n\t\t\t\tskeleton.update();\n\n\t\t\t\tupdateMap.set( skeleton, frame );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn buffergeometry;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tupdateMap = new WeakMap();\n\n\t}\n\n\tfunction onInstancedMeshDispose( event ) {\n\n\t\tconst instancedMesh = event.target;\n\n\t\tinstancedMesh.removeEventListener( 'dispose', onInstancedMeshDispose );\n\n\t\tattributes.remove( instancedMesh.instanceMatrix );\n\n\t\tif ( instancedMesh.instanceColor !== null ) attributes.remove( instancedMesh.instanceColor );\n\n\t}\n\n\treturn {\n\n\t\tupdate: update,\n\t\tdispose: dispose\n\n\t};\n\n}\n\nclass DepthTexture extends Texture {\n\n\tconstructor( width, height, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, format ) {\n\n\t\tformat = format !== undefined ? format : DepthFormat;\n\n\t\tif ( format !== DepthFormat && format !== DepthStencilFormat ) {\n\n\t\t\tthrow new Error( 'DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat' );\n\n\t\t}\n\n\t\tif ( type === undefined && format === DepthFormat ) type = UnsignedIntType;\n\t\tif ( type === undefined && format === DepthStencilFormat ) type = UnsignedInt248Type;\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isDepthTexture = true;\n\n\t\tthis.image = { width: width, height: height };\n\n\t\tthis.magFilter = magFilter !== undefined ? magFilter : NearestFilter;\n\t\tthis.minFilter = minFilter !== undefined ? minFilter : NearestFilter;\n\n\t\tthis.flipY = false;\n\t\tthis.generateMipmaps = false;\n\n\t\tthis.compareFunction = null;\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.compareFunction = source.compareFunction;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.compareFunction !== null ) data.compareFunction = this.compareFunction;\n\n\t\treturn data;\n\n\t}\n\n}\n\n/**\n * Uniforms of a program.\n * Those form a tree structure with a special top-level container for the root,\n * which you get by calling 'new WebGLUniforms( gl, program )'.\n *\n *\n * Properties of inner nodes including the top-level container:\n *\n * .seq - array of nested uniforms\n * .map - nested uniforms by name\n *\n *\n * Methods of all nodes except the top-level container:\n *\n * .setValue( gl, value, [textures] )\n *\n * \t\tuploads a uniform value(s)\n * \tthe 'textures' parameter is needed for sampler uniforms\n *\n *\n * Static methods of the top-level container (textures factorizations):\n *\n * .upload( gl, seq, values, textures )\n *\n * \t\tsets uniforms in 'seq' to 'values[id].value'\n *\n * .seqWithValue( seq, values ) : filteredSeq\n *\n * \t\tfilters 'seq' entries with corresponding entry in values\n *\n *\n * Methods of the top-level container (textures factorizations):\n *\n * .setValue( gl, name, value, textures )\n *\n * \t\tsets uniform with name 'name' to 'value'\n *\n * .setOptional( gl, obj, prop )\n *\n * \t\tlike .set for an optional property of the object\n *\n */\n\n\nconst emptyTexture = /*@__PURE__*/ new Texture();\n\nconst emptyShadowTexture = /*@__PURE__*/ new DepthTexture( 1, 1 );\nemptyShadowTexture.compareFunction = LessEqualCompare;\n\nconst emptyArrayTexture = /*@__PURE__*/ new DataArrayTexture();\nconst empty3dTexture = /*@__PURE__*/ new Data3DTexture();\nconst emptyCubeTexture = /*@__PURE__*/ new CubeTexture();\n\n// --- Utilities ---\n\n// Array Caches (provide typed arrays for temporary by size)\n\nconst arrayCacheF32 = [];\nconst arrayCacheI32 = [];\n\n// Float32Array caches used for uploading Matrix uniforms\n\nconst mat4array = new Float32Array( 16 );\nconst mat3array = new Float32Array( 9 );\nconst mat2array = new Float32Array( 4 );\n\n// Flattening for arrays of vectors and matrices\n\nfunction flatten( array, nBlocks, blockSize ) {\n\n\tconst firstElem = array[ 0 ];\n\n\tif ( firstElem <= 0 || firstElem > 0 ) return array;\n\t// unoptimized: ! isNaN( firstElem )\n\t// see http://jacksondunstan.com/articles/983\n\n\tconst n = nBlocks * blockSize;\n\tlet r = arrayCacheF32[ n ];\n\n\tif ( r === undefined ) {\n\n\t\tr = new Float32Array( n );\n\t\tarrayCacheF32[ n ] = r;\n\n\t}\n\n\tif ( nBlocks !== 0 ) {\n\n\t\tfirstElem.toArray( r, 0 );\n\n\t\tfor ( let i = 1, offset = 0; i !== nBlocks; ++ i ) {\n\n\t\t\toffset += blockSize;\n\t\t\tarray[ i ].toArray( r, offset );\n\n\t\t}\n\n\t}\n\n\treturn r;\n\n}\n\nfunction arraysEqual( a, b ) {\n\n\tif ( a.length !== b.length ) return false;\n\n\tfor ( let i = 0, l = a.length; i < l; i ++ ) {\n\n\t\tif ( a[ i ] !== b[ i ] ) return false;\n\n\t}\n\n\treturn true;\n\n}\n\nfunction copyArray( a, b ) {\n\n\tfor ( let i = 0, l = b.length; i < l; i ++ ) {\n\n\t\ta[ i ] = b[ i ];\n\n\t}\n\n}\n\n// Texture unit allocation\n\nfunction allocTexUnits( textures, n ) {\n\n\tlet r = arrayCacheI32[ n ];\n\n\tif ( r === undefined ) {\n\n\t\tr = new Int32Array( n );\n\t\tarrayCacheI32[ n ] = r;\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\tr[ i ] = textures.allocateTextureUnit();\n\n\t}\n\n\treturn r;\n\n}\n\n// --- Setters ---\n\n// Note: Defining these methods externally, because they come in a bunch\n// and this way their names minify.\n\n// Single scalar\n\nfunction setValueV1f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1f( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single float vector (from flat array or THREE.VectorN)\n\nfunction setValueV2f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2f( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3f( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else if ( v.r !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.r || cache[ 1 ] !== v.g || cache[ 2 ] !== v.b ) {\n\n\t\t\tgl.uniform3f( this.addr, v.r, v.g, v.b );\n\n\t\t\tcache[ 0 ] = v.r;\n\t\t\tcache[ 1 ] = v.g;\n\t\t\tcache[ 2 ] = v.b;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4f( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4f( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4fv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n// Single matrix (from flat array or THREE.MatrixN)\n\nfunction setValueM2( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix2fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat2array.set( elements );\n\n\t\tgl.uniformMatrix2fv( this.addr, false, mat2array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\nfunction setValueM3( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix3fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat3array.set( elements );\n\n\t\tgl.uniformMatrix3fv( this.addr, false, mat3array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\nfunction setValueM4( gl, v ) {\n\n\tconst cache = this.cache;\n\tconst elements = v.elements;\n\n\tif ( elements === undefined ) {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniformMatrix4fv( this.addr, false, v );\n\n\t\tcopyArray( cache, v );\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, elements ) ) return;\n\n\t\tmat4array.set( elements );\n\n\t\tgl.uniformMatrix4fv( this.addr, false, mat4array );\n\n\t\tcopyArray( cache, elements );\n\n\t}\n\n}\n\n// Single integer / boolean\n\nfunction setValueV1i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1i( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single integer / boolean vector (from flat array or THREE.VectorN)\n\nfunction setValueV2i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2i( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3i( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4i( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4i( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4iv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n// Single unsigned integer\n\nfunction setValueV1ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( cache[ 0 ] === v ) return;\n\n\tgl.uniform1ui( this.addr, v );\n\n\tcache[ 0 ] = v;\n\n}\n\n// Single unsigned integer vector (from flat array or THREE.VectorN)\n\nfunction setValueV2ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y ) {\n\n\t\t\tgl.uniform2ui( this.addr, v.x, v.y );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform2uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV3ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z ) {\n\n\t\t\tgl.uniform3ui( this.addr, v.x, v.y, v.z );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform3uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\nfunction setValueV4ui( gl, v ) {\n\n\tconst cache = this.cache;\n\n\tif ( v.x !== undefined ) {\n\n\t\tif ( cache[ 0 ] !== v.x || cache[ 1 ] !== v.y || cache[ 2 ] !== v.z || cache[ 3 ] !== v.w ) {\n\n\t\t\tgl.uniform4ui( this.addr, v.x, v.y, v.z, v.w );\n\n\t\t\tcache[ 0 ] = v.x;\n\t\t\tcache[ 1 ] = v.y;\n\t\t\tcache[ 2 ] = v.z;\n\t\t\tcache[ 3 ] = v.w;\n\n\t\t}\n\n\t} else {\n\n\t\tif ( arraysEqual( cache, v ) ) return;\n\n\t\tgl.uniform4uiv( this.addr, v );\n\n\t\tcopyArray( cache, v );\n\n\t}\n\n}\n\n\n// Single texture (2D / Cube)\n\nfunction setValueT1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\tconst emptyTexture2D = ( this.type === gl.SAMPLER_2D_SHADOW ) ? emptyShadowTexture : emptyTexture;\n\n\ttextures.setTexture2D( v || emptyTexture2D, unit );\n\n}\n\nfunction setValueT3D1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTexture3D( v || empty3dTexture, unit );\n\n}\n\nfunction setValueT6( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTextureCube( v || emptyCubeTexture, unit );\n\n}\n\nfunction setValueT2DArray1( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\tconst unit = textures.allocateTextureUnit();\n\n\tif ( cache[ 0 ] !== unit ) {\n\n\t\tgl.uniform1i( this.addr, unit );\n\t\tcache[ 0 ] = unit;\n\n\t}\n\n\ttextures.setTexture2DArray( v || emptyArrayTexture, unit );\n\n}\n\n// Helper to pick the right setter for the singular case\n\nfunction getSingularSetter( type ) {\n\n\tswitch ( type ) {\n\n\t\tcase 0x1406: return setValueV1f; // FLOAT\n\t\tcase 0x8b50: return setValueV2f; // _VEC2\n\t\tcase 0x8b51: return setValueV3f; // _VEC3\n\t\tcase 0x8b52: return setValueV4f; // _VEC4\n\n\t\tcase 0x8b5a: return setValueM2; // _MAT2\n\t\tcase 0x8b5b: return setValueM3; // _MAT3\n\t\tcase 0x8b5c: return setValueM4; // _MAT4\n\n\t\tcase 0x1404: case 0x8b56: return setValueV1i; // INT, BOOL\n\t\tcase 0x8b53: case 0x8b57: return setValueV2i; // _VEC2\n\t\tcase 0x8b54: case 0x8b58: return setValueV3i; // _VEC3\n\t\tcase 0x8b55: case 0x8b59: return setValueV4i; // _VEC4\n\n\t\tcase 0x1405: return setValueV1ui; // UINT\n\t\tcase 0x8dc6: return setValueV2ui; // _VEC2\n\t\tcase 0x8dc7: return setValueV3ui; // _VEC3\n\t\tcase 0x8dc8: return setValueV4ui; // _VEC4\n\n\t\tcase 0x8b5e: // SAMPLER_2D\n\t\tcase 0x8d66: // SAMPLER_EXTERNAL_OES\n\t\tcase 0x8dca: // INT_SAMPLER_2D\n\t\tcase 0x8dd2: // UNSIGNED_INT_SAMPLER_2D\n\t\tcase 0x8b62: // SAMPLER_2D_SHADOW\n\t\t\treturn setValueT1;\n\n\t\tcase 0x8b5f: // SAMPLER_3D\n\t\tcase 0x8dcb: // INT_SAMPLER_3D\n\t\tcase 0x8dd3: // UNSIGNED_INT_SAMPLER_3D\n\t\t\treturn setValueT3D1;\n\n\t\tcase 0x8b60: // SAMPLER_CUBE\n\t\tcase 0x8dcc: // INT_SAMPLER_CUBE\n\t\tcase 0x8dd4: // UNSIGNED_INT_SAMPLER_CUBE\n\t\tcase 0x8dc5: // SAMPLER_CUBE_SHADOW\n\t\t\treturn setValueT6;\n\n\t\tcase 0x8dc1: // SAMPLER_2D_ARRAY\n\t\tcase 0x8dcf: // INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dd7: // UNSIGNED_INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dc4: // SAMPLER_2D_ARRAY_SHADOW\n\t\t\treturn setValueT2DArray1;\n\n\t}\n\n}\n\n\n// Array of scalars\n\nfunction setValueV1fArray( gl, v ) {\n\n\tgl.uniform1fv( this.addr, v );\n\n}\n\n// Array of vectors (from flat array or array of THREE.VectorN)\n\nfunction setValueV2fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 2 );\n\n\tgl.uniform2fv( this.addr, data );\n\n}\n\nfunction setValueV3fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 3 );\n\n\tgl.uniform3fv( this.addr, data );\n\n}\n\nfunction setValueV4fArray( gl, v ) {\n\n\tconst data = flatten( v, this.size, 4 );\n\n\tgl.uniform4fv( this.addr, data );\n\n}\n\n// Array of matrices (from flat array or array of THREE.MatrixN)\n\nfunction setValueM2Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 4 );\n\n\tgl.uniformMatrix2fv( this.addr, false, data );\n\n}\n\nfunction setValueM3Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 9 );\n\n\tgl.uniformMatrix3fv( this.addr, false, data );\n\n}\n\nfunction setValueM4Array( gl, v ) {\n\n\tconst data = flatten( v, this.size, 16 );\n\n\tgl.uniformMatrix4fv( this.addr, false, data );\n\n}\n\n// Array of integer / boolean\n\nfunction setValueV1iArray( gl, v ) {\n\n\tgl.uniform1iv( this.addr, v );\n\n}\n\n// Array of integer / boolean vectors (from flat array)\n\nfunction setValueV2iArray( gl, v ) {\n\n\tgl.uniform2iv( this.addr, v );\n\n}\n\nfunction setValueV3iArray( gl, v ) {\n\n\tgl.uniform3iv( this.addr, v );\n\n}\n\nfunction setValueV4iArray( gl, v ) {\n\n\tgl.uniform4iv( this.addr, v );\n\n}\n\n// Array of unsigned integer\n\nfunction setValueV1uiArray( gl, v ) {\n\n\tgl.uniform1uiv( this.addr, v );\n\n}\n\n// Array of unsigned integer vectors (from flat array)\n\nfunction setValueV2uiArray( gl, v ) {\n\n\tgl.uniform2uiv( this.addr, v );\n\n}\n\nfunction setValueV3uiArray( gl, v ) {\n\n\tgl.uniform3uiv( this.addr, v );\n\n}\n\nfunction setValueV4uiArray( gl, v ) {\n\n\tgl.uniform4uiv( this.addr, v );\n\n}\n\n\n// Array of textures (2D / 3D / Cube / 2DArray)\n\nfunction setValueT1Array( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture2D( v[ i ] || emptyTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT3DArray( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture3D( v[ i ] || empty3dTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT6Array( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTextureCube( v[ i ] || emptyCubeTexture, units[ i ] );\n\n\t}\n\n}\n\nfunction setValueT2DArrayArray( gl, v, textures ) {\n\n\tconst cache = this.cache;\n\n\tconst n = v.length;\n\n\tconst units = allocTexUnits( textures, n );\n\n\tif ( ! arraysEqual( cache, units ) ) {\n\n\t\tgl.uniform1iv( this.addr, units );\n\n\t\tcopyArray( cache, units );\n\n\t}\n\n\tfor ( let i = 0; i !== n; ++ i ) {\n\n\t\ttextures.setTexture2DArray( v[ i ] || emptyArrayTexture, units[ i ] );\n\n\t}\n\n}\n\n\n// Helper to pick the right setter for a pure (bottom-level) array\n\nfunction getPureArraySetter( type ) {\n\n\tswitch ( type ) {\n\n\t\tcase 0x1406: return setValueV1fArray; // FLOAT\n\t\tcase 0x8b50: return setValueV2fArray; // _VEC2\n\t\tcase 0x8b51: return setValueV3fArray; // _VEC3\n\t\tcase 0x8b52: return setValueV4fArray; // _VEC4\n\n\t\tcase 0x8b5a: return setValueM2Array; // _MAT2\n\t\tcase 0x8b5b: return setValueM3Array; // _MAT3\n\t\tcase 0x8b5c: return setValueM4Array; // _MAT4\n\n\t\tcase 0x1404: case 0x8b56: return setValueV1iArray; // INT, BOOL\n\t\tcase 0x8b53: case 0x8b57: return setValueV2iArray; // _VEC2\n\t\tcase 0x8b54: case 0x8b58: return setValueV3iArray; // _VEC3\n\t\tcase 0x8b55: case 0x8b59: return setValueV4iArray; // _VEC4\n\n\t\tcase 0x1405: return setValueV1uiArray; // UINT\n\t\tcase 0x8dc6: return setValueV2uiArray; // _VEC2\n\t\tcase 0x8dc7: return setValueV3uiArray; // _VEC3\n\t\tcase 0x8dc8: return setValueV4uiArray; // _VEC4\n\n\t\tcase 0x8b5e: // SAMPLER_2D\n\t\tcase 0x8d66: // SAMPLER_EXTERNAL_OES\n\t\tcase 0x8dca: // INT_SAMPLER_2D\n\t\tcase 0x8dd2: // UNSIGNED_INT_SAMPLER_2D\n\t\tcase 0x8b62: // SAMPLER_2D_SHADOW\n\t\t\treturn setValueT1Array;\n\n\t\tcase 0x8b5f: // SAMPLER_3D\n\t\tcase 0x8dcb: // INT_SAMPLER_3D\n\t\tcase 0x8dd3: // UNSIGNED_INT_SAMPLER_3D\n\t\t\treturn setValueT3DArray;\n\n\t\tcase 0x8b60: // SAMPLER_CUBE\n\t\tcase 0x8dcc: // INT_SAMPLER_CUBE\n\t\tcase 0x8dd4: // UNSIGNED_INT_SAMPLER_CUBE\n\t\tcase 0x8dc5: // SAMPLER_CUBE_SHADOW\n\t\t\treturn setValueT6Array;\n\n\t\tcase 0x8dc1: // SAMPLER_2D_ARRAY\n\t\tcase 0x8dcf: // INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dd7: // UNSIGNED_INT_SAMPLER_2D_ARRAY\n\t\tcase 0x8dc4: // SAMPLER_2D_ARRAY_SHADOW\n\t\t\treturn setValueT2DArrayArray;\n\n\t}\n\n}\n\n// --- Uniform Classes ---\n\nclass SingleUniform {\n\n\tconstructor( id, activeInfo, addr ) {\n\n\t\tthis.id = id;\n\t\tthis.addr = addr;\n\t\tthis.cache = [];\n\t\tthis.type = activeInfo.type;\n\t\tthis.setValue = getSingularSetter( activeInfo.type );\n\n\t\t// this.path = activeInfo.name; // DEBUG\n\n\t}\n\n}\n\nclass PureArrayUniform {\n\n\tconstructor( id, activeInfo, addr ) {\n\n\t\tthis.id = id;\n\t\tthis.addr = addr;\n\t\tthis.cache = [];\n\t\tthis.type = activeInfo.type;\n\t\tthis.size = activeInfo.size;\n\t\tthis.setValue = getPureArraySetter( activeInfo.type );\n\n\t\t// this.path = activeInfo.name; // DEBUG\n\n\t}\n\n}\n\nclass StructuredUniform {\n\n\tconstructor( id ) {\n\n\t\tthis.id = id;\n\n\t\tthis.seq = [];\n\t\tthis.map = {};\n\n\t}\n\n\tsetValue( gl, value, textures ) {\n\n\t\tconst seq = this.seq;\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ];\n\t\t\tu.setValue( gl, value[ u.id ], textures );\n\n\t\t}\n\n\t}\n\n}\n\n// --- Top-level ---\n\n// Parser - builds up the property tree from the path strings\n\nconst RePathPart = /(\\w+)(\\])?(\\[|\\.)?/g;\n\n// extracts\n// \t- the identifier (member name or array index)\n// - followed by an optional right bracket (found when array index)\n// - followed by an optional left bracket or dot (type of subscript)\n//\n// Note: These portions can be read in a non-overlapping fashion and\n// allow straightforward parsing of the hierarchy that WebGL encodes\n// in the uniform names.\n\nfunction addUniform( container, uniformObject ) {\n\n\tcontainer.seq.push( uniformObject );\n\tcontainer.map[ uniformObject.id ] = uniformObject;\n\n}\n\nfunction parseUniform( activeInfo, addr, container ) {\n\n\tconst path = activeInfo.name,\n\t\tpathLength = path.length;\n\n\t// reset RegExp object, because of the early exit of a previous run\n\tRePathPart.lastIndex = 0;\n\n\twhile ( true ) {\n\n\t\tconst match = RePathPart.exec( path ),\n\t\t\tmatchEnd = RePathPart.lastIndex;\n\n\t\tlet id = match[ 1 ];\n\t\tconst idIsIndex = match[ 2 ] === ']',\n\t\t\tsubscript = match[ 3 ];\n\n\t\tif ( idIsIndex ) id = id | 0; // convert to integer\n\n\t\tif ( subscript === undefined || subscript === '[' && matchEnd + 2 === pathLength ) {\n\n\t\t\t// bare name or \"pure\" bottom-level array \"[0]\" suffix\n\n\t\t\taddUniform( container, subscript === undefined ?\n\t\t\t\tnew SingleUniform( id, activeInfo, addr ) :\n\t\t\t\tnew PureArrayUniform( id, activeInfo, addr ) );\n\n\t\t\tbreak;\n\n\t\t} else {\n\n\t\t\t// step into inner node / create it in case it doesn't exist\n\n\t\t\tconst map = container.map;\n\t\t\tlet next = map[ id ];\n\n\t\t\tif ( next === undefined ) {\n\n\t\t\t\tnext = new StructuredUniform( id );\n\t\t\t\taddUniform( container, next );\n\n\t\t\t}\n\n\t\t\tcontainer = next;\n\n\t\t}\n\n\t}\n\n}\n\n// Root Container\n\nclass WebGLUniforms {\n\n\tconstructor( gl, program ) {\n\n\t\tthis.seq = [];\n\t\tthis.map = {};\n\n\t\tconst n = gl.getProgramParameter( program, gl.ACTIVE_UNIFORMS );\n\n\t\tfor ( let i = 0; i < n; ++ i ) {\n\n\t\t\tconst info = gl.getActiveUniform( program, i ),\n\t\t\t\taddr = gl.getUniformLocation( program, info.name );\n\n\t\t\tparseUniform( info, addr, this );\n\n\t\t}\n\n\t}\n\n\tsetValue( gl, name, value, textures ) {\n\n\t\tconst u = this.map[ name ];\n\n\t\tif ( u !== undefined ) u.setValue( gl, value, textures );\n\n\t}\n\n\tsetOptional( gl, object, name ) {\n\n\t\tconst v = object[ name ];\n\n\t\tif ( v !== undefined ) this.setValue( gl, name, v );\n\n\t}\n\n\tstatic upload( gl, seq, values, textures ) {\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ],\n\t\t\t\tv = values[ u.id ];\n\n\t\t\tif ( v.needsUpdate !== false ) {\n\n\t\t\t\t// note: always updating when .needsUpdate is undefined\n\t\t\t\tu.setValue( gl, v.value, textures );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tstatic seqWithValue( seq, values ) {\n\n\t\tconst r = [];\n\n\t\tfor ( let i = 0, n = seq.length; i !== n; ++ i ) {\n\n\t\t\tconst u = seq[ i ];\n\t\t\tif ( u.id in values ) r.push( u );\n\n\t\t}\n\n\t\treturn r;\n\n\t}\n\n}\n\nfunction WebGLShader( gl, type, string ) {\n\n\tconst shader = gl.createShader( type );\n\n\tgl.shaderSource( shader, string );\n\tgl.compileShader( shader );\n\n\treturn shader;\n\n}\n\n// From https://www.khronos.org/registry/webgl/extensions/KHR_parallel_shader_compile/\nconst COMPLETION_STATUS_KHR = 0x91B1;\n\nlet programIdCount = 0;\n\nfunction handleSource( string, errorLine ) {\n\n\tconst lines = string.split( '\\n' );\n\tconst lines2 = [];\n\n\tconst from = Math.max( errorLine - 6, 0 );\n\tconst to = Math.min( errorLine + 6, lines.length );\n\n\tfor ( let i = from; i < to; i ++ ) {\n\n\t\tconst line = i + 1;\n\t\tlines2.push( `${line === errorLine ? '>' : ' '} ${line}: ${lines[ i ]}` );\n\n\t}\n\n\treturn lines2.join( '\\n' );\n\n}\n\nfunction getEncodingComponents( colorSpace ) {\n\n\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\tconst encodingPrimaries = ColorManagement.getPrimaries( colorSpace );\n\n\tlet gamutMapping;\n\n\tif ( workingPrimaries === encodingPrimaries ) {\n\n\t\tgamutMapping = '';\n\n\t} else if ( workingPrimaries === P3Primaries && encodingPrimaries === Rec709Primaries ) {\n\n\t\tgamutMapping = 'LinearDisplayP3ToLinearSRGB';\n\n\t} else if ( workingPrimaries === Rec709Primaries && encodingPrimaries === P3Primaries ) {\n\n\t\tgamutMapping = 'LinearSRGBToLinearDisplayP3';\n\n\t}\n\n\tswitch ( colorSpace ) {\n\n\t\tcase LinearSRGBColorSpace:\n\t\tcase LinearDisplayP3ColorSpace:\n\t\t\treturn [ gamutMapping, 'LinearTransferOETF' ];\n\n\t\tcase SRGBColorSpace:\n\t\tcase DisplayP3ColorSpace:\n\t\t\treturn [ gamutMapping, 'sRGBTransferOETF' ];\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.WebGLProgram: Unsupported color space:', colorSpace );\n\t\t\treturn [ gamutMapping, 'LinearTransferOETF' ];\n\n\t}\n\n}\n\nfunction getShaderErrors( gl, shader, type ) {\n\n\tconst status = gl.getShaderParameter( shader, gl.COMPILE_STATUS );\n\tconst errors = gl.getShaderInfoLog( shader ).trim();\n\n\tif ( status && errors === '' ) return '';\n\n\tconst errorMatches = /ERROR: 0:(\\d+)/.exec( errors );\n\tif ( errorMatches ) {\n\n\t\t// --enable-privileged-webgl-extension\n\t\t// console.log( '**' + type + '**', gl.getExtension( 'WEBGL_debug_shaders' ).getTranslatedShaderSource( shader ) );\n\n\t\tconst errorLine = parseInt( errorMatches[ 1 ] );\n\t\treturn type.toUpperCase() + '\\n\\n' + errors + '\\n\\n' + handleSource( gl.getShaderSource( shader ), errorLine );\n\n\t} else {\n\n\t\treturn errors;\n\n\t}\n\n}\n\nfunction getTexelEncodingFunction( functionName, colorSpace ) {\n\n\tconst components = getEncodingComponents( colorSpace );\n\treturn `vec4 ${functionName}( vec4 value ) { return ${components[ 0 ]}( ${components[ 1 ]}( value ) ); }`;\n\n}\n\nfunction getToneMappingFunction( functionName, toneMapping ) {\n\n\tlet toneMappingName;\n\n\tswitch ( toneMapping ) {\n\n\t\tcase LinearToneMapping:\n\t\t\ttoneMappingName = 'Linear';\n\t\t\tbreak;\n\n\t\tcase ReinhardToneMapping:\n\t\t\ttoneMappingName = 'Reinhard';\n\t\t\tbreak;\n\n\t\tcase CineonToneMapping:\n\t\t\ttoneMappingName = 'OptimizedCineon';\n\t\t\tbreak;\n\n\t\tcase ACESFilmicToneMapping:\n\t\t\ttoneMappingName = 'ACESFilmic';\n\t\t\tbreak;\n\n\t\tcase AgXToneMapping:\n\t\t\ttoneMappingName = 'AgX';\n\t\t\tbreak;\n\n\t\tcase CustomToneMapping:\n\t\t\ttoneMappingName = 'Custom';\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tconsole.warn( 'THREE.WebGLProgram: Unsupported toneMapping:', toneMapping );\n\t\t\ttoneMappingName = 'Linear';\n\n\t}\n\n\treturn 'vec3 ' + functionName + '( vec3 color ) { return ' + toneMappingName + 'ToneMapping( color ); }';\n\n}\n\nfunction generateExtensions( parameters ) {\n\n\tconst chunks = [\n\t\t( parameters.extensionDerivatives || !! parameters.envMapCubeUVHeight || parameters.bumpMap || parameters.normalMapTangentSpace || parameters.clearcoatNormalMap || parameters.flatShading || parameters.shaderID === 'physical' ) ? '#extension GL_OES_standard_derivatives : enable' : '',\n\t\t( parameters.extensionFragDepth || parameters.logarithmicDepthBuffer ) && parameters.rendererExtensionFragDepth ? '#extension GL_EXT_frag_depth : enable' : '',\n\t\t( parameters.extensionDrawBuffers && parameters.rendererExtensionDrawBuffers ) ? '#extension GL_EXT_draw_buffers : require' : '',\n\t\t( parameters.extensionShaderTextureLOD || parameters.envMap || parameters.transmission ) && parameters.rendererExtensionShaderTextureLod ? '#extension GL_EXT_shader_texture_lod : enable' : ''\n\t];\n\n\treturn chunks.filter( filterEmptyLine ).join( '\\n' );\n\n}\n\nfunction generateVertexExtensions( parameters ) {\n\n\tconst chunks = [\n\t\tparameters.extensionClipCullDistance ? '#extension GL_ANGLE_clip_cull_distance : require' : ''\n\t];\n\n\treturn chunks.filter( filterEmptyLine ).join( '\\n' );\n\n}\n\nfunction generateDefines( defines ) {\n\n\tconst chunks = [];\n\n\tfor ( const name in defines ) {\n\n\t\tconst value = defines[ name ];\n\n\t\tif ( value === false ) continue;\n\n\t\tchunks.push( '#define ' + name + ' ' + value );\n\n\t}\n\n\treturn chunks.join( '\\n' );\n\n}\n\nfunction fetchAttributeLocations( gl, program ) {\n\n\tconst attributes = {};\n\n\tconst n = gl.getProgramParameter( program, gl.ACTIVE_ATTRIBUTES );\n\n\tfor ( let i = 0; i < n; i ++ ) {\n\n\t\tconst info = gl.getActiveAttrib( program, i );\n\t\tconst name = info.name;\n\n\t\tlet locationSize = 1;\n\t\tif ( info.type === gl.FLOAT_MAT2 ) locationSize = 2;\n\t\tif ( info.type === gl.FLOAT_MAT3 ) locationSize = 3;\n\t\tif ( info.type === gl.FLOAT_MAT4 ) locationSize = 4;\n\n\t\t// console.log( 'THREE.WebGLProgram: ACTIVE VERTEX ATTRIBUTE:', name, i );\n\n\t\tattributes[ name ] = {\n\t\t\ttype: info.type,\n\t\t\tlocation: gl.getAttribLocation( program, name ),\n\t\t\tlocationSize: locationSize\n\t\t};\n\n\t}\n\n\treturn attributes;\n\n}\n\nfunction filterEmptyLine( string ) {\n\n\treturn string !== '';\n\n}\n\nfunction replaceLightNums( string, parameters ) {\n\n\tconst numSpotLightCoords = parameters.numSpotLightShadows + parameters.numSpotLightMaps - parameters.numSpotLightShadowsWithMaps;\n\n\treturn string\n\t\t.replace( /NUM_DIR_LIGHTS/g, parameters.numDirLights )\n\t\t.replace( /NUM_SPOT_LIGHTS/g, parameters.numSpotLights )\n\t\t.replace( /NUM_SPOT_LIGHT_MAPS/g, parameters.numSpotLightMaps )\n\t\t.replace( /NUM_SPOT_LIGHT_COORDS/g, numSpotLightCoords )\n\t\t.replace( /NUM_RECT_AREA_LIGHTS/g, parameters.numRectAreaLights )\n\t\t.replace( /NUM_POINT_LIGHTS/g, parameters.numPointLights )\n\t\t.replace( /NUM_HEMI_LIGHTS/g, parameters.numHemiLights )\n\t\t.replace( /NUM_DIR_LIGHT_SHADOWS/g, parameters.numDirLightShadows )\n\t\t.replace( /NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS/g, parameters.numSpotLightShadowsWithMaps )\n\t\t.replace( /NUM_SPOT_LIGHT_SHADOWS/g, parameters.numSpotLightShadows )\n\t\t.replace( /NUM_POINT_LIGHT_SHADOWS/g, parameters.numPointLightShadows );\n\n}\n\nfunction replaceClippingPlaneNums( string, parameters ) {\n\n\treturn string\n\t\t.replace( /NUM_CLIPPING_PLANES/g, parameters.numClippingPlanes )\n\t\t.replace( /UNION_CLIPPING_PLANES/g, ( parameters.numClippingPlanes - parameters.numClipIntersection ) );\n\n}\n\n// Resolve Includes\n\nconst includePattern = /^[ \\t]*#include +<([\\w\\d./]+)>/gm;\n\nfunction resolveIncludes( string ) {\n\n\treturn string.replace( includePattern, includeReplacer );\n\n}\n\nconst shaderChunkMap = new Map( [\n\t[ 'encodings_fragment', 'colorspace_fragment' ], // @deprecated, r154\n\t[ 'encodings_pars_fragment', 'colorspace_pars_fragment' ], // @deprecated, r154\n\t[ 'output_fragment', 'opaque_fragment' ], // @deprecated, r154\n] );\n\nfunction includeReplacer( match, include ) {\n\n\tlet string = ShaderChunk[ include ];\n\n\tif ( string === undefined ) {\n\n\t\tconst newInclude = shaderChunkMap.get( include );\n\n\t\tif ( newInclude !== undefined ) {\n\n\t\t\tstring = ShaderChunk[ newInclude ];\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Shader chunk \"%s\" has been deprecated. Use \"%s\" instead.', include, newInclude );\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'Can not resolve #include <' + include + '>' );\n\n\t\t}\n\n\t}\n\n\treturn resolveIncludes( string );\n\n}\n\n// Unroll Loops\n\nconst unrollLoopPattern = /#pragma unroll_loop_start\\s+for\\s*\\(\\s*int\\s+i\\s*=\\s*(\\d+)\\s*;\\s*i\\s*<\\s*(\\d+)\\s*;\\s*i\\s*\\+\\+\\s*\\)\\s*{([\\s\\S]+?)}\\s+#pragma unroll_loop_end/g;\n\nfunction unrollLoops( string ) {\n\n\treturn string.replace( unrollLoopPattern, loopReplacer );\n\n}\n\nfunction loopReplacer( match, start, end, snippet ) {\n\n\tlet string = '';\n\n\tfor ( let i = parseInt( start ); i < parseInt( end ); i ++ ) {\n\n\t\tstring += snippet\n\t\t\t.replace( /\\[\\s*i\\s*\\]/g, '[ ' + i + ' ]' )\n\t\t\t.replace( /UNROLLED_LOOP_INDEX/g, i );\n\n\t}\n\n\treturn string;\n\n}\n\n//\n\nfunction generatePrecision( parameters ) {\n\n\tlet precisionstring = 'precision ' + parameters.precision + ' float;\\nprecision ' + parameters.precision + ' int;';\n\n\tif ( parameters.precision === 'highp' ) {\n\n\t\tprecisionstring += '\\n#define HIGH_PRECISION';\n\n\t} else if ( parameters.precision === 'mediump' ) {\n\n\t\tprecisionstring += '\\n#define MEDIUM_PRECISION';\n\n\t} else if ( parameters.precision === 'lowp' ) {\n\n\t\tprecisionstring += '\\n#define LOW_PRECISION';\n\n\t}\n\n\treturn precisionstring;\n\n}\n\nfunction generateShadowMapTypeDefine( parameters ) {\n\n\tlet shadowMapTypeDefine = 'SHADOWMAP_TYPE_BASIC';\n\n\tif ( parameters.shadowMapType === PCFShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_PCF';\n\n\t} else if ( parameters.shadowMapType === PCFSoftShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_PCF_SOFT';\n\n\t} else if ( parameters.shadowMapType === VSMShadowMap ) {\n\n\t\tshadowMapTypeDefine = 'SHADOWMAP_TYPE_VSM';\n\n\t}\n\n\treturn shadowMapTypeDefine;\n\n}\n\nfunction generateEnvMapTypeDefine( parameters ) {\n\n\tlet envMapTypeDefine = 'ENVMAP_TYPE_CUBE';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.envMapMode ) {\n\n\t\t\tcase CubeReflectionMapping:\n\t\t\tcase CubeRefractionMapping:\n\t\t\t\tenvMapTypeDefine = 'ENVMAP_TYPE_CUBE';\n\t\t\t\tbreak;\n\n\t\t\tcase CubeUVReflectionMapping:\n\t\t\t\tenvMapTypeDefine = 'ENVMAP_TYPE_CUBE_UV';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapTypeDefine;\n\n}\n\nfunction generateEnvMapModeDefine( parameters ) {\n\n\tlet envMapModeDefine = 'ENVMAP_MODE_REFLECTION';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.envMapMode ) {\n\n\t\t\tcase CubeRefractionMapping:\n\n\t\t\t\tenvMapModeDefine = 'ENVMAP_MODE_REFRACTION';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapModeDefine;\n\n}\n\nfunction generateEnvMapBlendingDefine( parameters ) {\n\n\tlet envMapBlendingDefine = 'ENVMAP_BLENDING_NONE';\n\n\tif ( parameters.envMap ) {\n\n\t\tswitch ( parameters.combine ) {\n\n\t\t\tcase MultiplyOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_MULTIPLY';\n\t\t\t\tbreak;\n\n\t\t\tcase MixOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_MIX';\n\t\t\t\tbreak;\n\n\t\t\tcase AddOperation:\n\t\t\t\tenvMapBlendingDefine = 'ENVMAP_BLENDING_ADD';\n\t\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n\treturn envMapBlendingDefine;\n\n}\n\nfunction generateCubeUVSize( parameters ) {\n\n\tconst imageHeight = parameters.envMapCubeUVHeight;\n\n\tif ( imageHeight === null ) return null;\n\n\tconst maxMip = Math.log2( imageHeight ) - 2;\n\n\tconst texelHeight = 1.0 / imageHeight;\n\n\tconst texelWidth = 1.0 / ( 3 * Math.max( Math.pow( 2, maxMip ), 7 * 16 ) );\n\n\treturn { texelWidth, texelHeight, maxMip };\n\n}\n\nfunction WebGLProgram( renderer, cacheKey, parameters, bindingStates ) {\n\n\t// TODO Send this event to Three.js DevTools\n\t// console.log( 'WebGLProgram', cacheKey );\n\n\tconst gl = renderer.getContext();\n\n\tconst defines = parameters.defines;\n\n\tlet vertexShader = parameters.vertexShader;\n\tlet fragmentShader = parameters.fragmentShader;\n\n\tconst shadowMapTypeDefine = generateShadowMapTypeDefine( parameters );\n\tconst envMapTypeDefine = generateEnvMapTypeDefine( parameters );\n\tconst envMapModeDefine = generateEnvMapModeDefine( parameters );\n\tconst envMapBlendingDefine = generateEnvMapBlendingDefine( parameters );\n\tconst envMapCubeUVSize = generateCubeUVSize( parameters );\n\n\tconst customExtensions = parameters.isWebGL2 ? '' : generateExtensions( parameters );\n\n\tconst customVertexExtensions = generateVertexExtensions( parameters );\n\n\tconst customDefines = generateDefines( defines );\n\n\tconst program = gl.createProgram();\n\n\tlet prefixVertex, prefixFragment;\n\tlet versionString = parameters.glslVersion ? '#version ' + parameters.glslVersion + '\\n' : '';\n\n\tif ( parameters.isRawShaderMaterial ) {\n\n\t\tprefixVertex = [\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tif ( prefixVertex.length > 0 ) {\n\n\t\t\tprefixVertex += '\\n';\n\n\t\t}\n\n\t\tprefixFragment = [\n\n\t\t\tcustomExtensions,\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tif ( prefixFragment.length > 0 ) {\n\n\t\t\tprefixFragment += '\\n';\n\n\t\t}\n\n\t} else {\n\n\t\tprefixVertex = [\n\n\t\t\tgeneratePrecision( parameters ),\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines,\n\n\t\t\tparameters.extensionClipCullDistance ? '#define USE_CLIP_DISTANCE' : '',\n\t\t\tparameters.batching ? '#define USE_BATCHING' : '',\n\t\t\tparameters.instancing ? '#define USE_INSTANCING' : '',\n\t\t\tparameters.instancingColor ? '#define USE_INSTANCING_COLOR' : '',\n\n\t\t\tparameters.useFog && parameters.fog ? '#define USE_FOG' : '',\n\t\t\tparameters.useFog && parameters.fogExp2 ? '#define FOG_EXP2' : '',\n\n\t\t\tparameters.map ? '#define USE_MAP' : '',\n\t\t\tparameters.envMap ? '#define USE_ENVMAP' : '',\n\t\t\tparameters.envMap ? '#define ' + envMapModeDefine : '',\n\t\t\tparameters.lightMap ? '#define USE_LIGHTMAP' : '',\n\t\t\tparameters.aoMap ? '#define USE_AOMAP' : '',\n\t\t\tparameters.bumpMap ? '#define USE_BUMPMAP' : '',\n\t\t\tparameters.normalMap ? '#define USE_NORMALMAP' : '',\n\t\t\tparameters.normalMapObjectSpace ? '#define USE_NORMALMAP_OBJECTSPACE' : '',\n\t\t\tparameters.normalMapTangentSpace ? '#define USE_NORMALMAP_TANGENTSPACE' : '',\n\t\t\tparameters.displacementMap ? '#define USE_DISPLACEMENTMAP' : '',\n\t\t\tparameters.emissiveMap ? '#define USE_EMISSIVEMAP' : '',\n\n\t\t\tparameters.anisotropy ? '#define USE_ANISOTROPY' : '',\n\t\t\tparameters.anisotropyMap ? '#define USE_ANISOTROPYMAP' : '',\n\n\t\t\tparameters.clearcoatMap ? '#define USE_CLEARCOATMAP' : '',\n\t\t\tparameters.clearcoatRoughnessMap ? '#define USE_CLEARCOAT_ROUGHNESSMAP' : '',\n\t\t\tparameters.clearcoatNormalMap ? '#define USE_CLEARCOAT_NORMALMAP' : '',\n\n\t\t\tparameters.iridescenceMap ? '#define USE_IRIDESCENCEMAP' : '',\n\t\t\tparameters.iridescenceThicknessMap ? '#define USE_IRIDESCENCE_THICKNESSMAP' : '',\n\n\t\t\tparameters.specularMap ? '#define USE_SPECULARMAP' : '',\n\t\t\tparameters.specularColorMap ? '#define USE_SPECULAR_COLORMAP' : '',\n\t\t\tparameters.specularIntensityMap ? '#define USE_SPECULAR_INTENSITYMAP' : '',\n\n\t\t\tparameters.roughnessMap ? '#define USE_ROUGHNESSMAP' : '',\n\t\t\tparameters.metalnessMap ? '#define USE_METALNESSMAP' : '',\n\t\t\tparameters.alphaMap ? '#define USE_ALPHAMAP' : '',\n\t\t\tparameters.alphaHash ? '#define USE_ALPHAHASH' : '',\n\n\t\t\tparameters.transmission ? '#define USE_TRANSMISSION' : '',\n\t\t\tparameters.transmissionMap ? '#define USE_TRANSMISSIONMAP' : '',\n\t\t\tparameters.thicknessMap ? '#define USE_THICKNESSMAP' : '',\n\n\t\t\tparameters.sheenColorMap ? '#define USE_SHEEN_COLORMAP' : '',\n\t\t\tparameters.sheenRoughnessMap ? '#define USE_SHEEN_ROUGHNESSMAP' : '',\n\n\t\t\t//\n\n\t\t\tparameters.mapUv ? '#define MAP_UV ' + parameters.mapUv : '',\n\t\t\tparameters.alphaMapUv ? '#define ALPHAMAP_UV ' + parameters.alphaMapUv : '',\n\t\t\tparameters.lightMapUv ? '#define LIGHTMAP_UV ' + parameters.lightMapUv : '',\n\t\t\tparameters.aoMapUv ? '#define AOMAP_UV ' + parameters.aoMapUv : '',\n\t\t\tparameters.emissiveMapUv ? '#define EMISSIVEMAP_UV ' + parameters.emissiveMapUv : '',\n\t\t\tparameters.bumpMapUv ? '#define BUMPMAP_UV ' + parameters.bumpMapUv : '',\n\t\t\tparameters.normalMapUv ? '#define NORMALMAP_UV ' + parameters.normalMapUv : '',\n\t\t\tparameters.displacementMapUv ? '#define DISPLACEMENTMAP_UV ' + parameters.displacementMapUv : '',\n\n\t\t\tparameters.metalnessMapUv ? '#define METALNESSMAP_UV ' + parameters.metalnessMapUv : '',\n\t\t\tparameters.roughnessMapUv ? '#define ROUGHNESSMAP_UV ' + parameters.roughnessMapUv : '',\n\n\t\t\tparameters.anisotropyMapUv ? '#define ANISOTROPYMAP_UV ' + parameters.anisotropyMapUv : '',\n\n\t\t\tparameters.clearcoatMapUv ? '#define CLEARCOATMAP_UV ' + parameters.clearcoatMapUv : '',\n\t\t\tparameters.clearcoatNormalMapUv ? '#define CLEARCOAT_NORMALMAP_UV ' + parameters.clearcoatNormalMapUv : '',\n\t\t\tparameters.clearcoatRoughnessMapUv ? '#define CLEARCOAT_ROUGHNESSMAP_UV ' + parameters.clearcoatRoughnessMapUv : '',\n\n\t\t\tparameters.iridescenceMapUv ? '#define IRIDESCENCEMAP_UV ' + parameters.iridescenceMapUv : '',\n\t\t\tparameters.iridescenceThicknessMapUv ? '#define IRIDESCENCE_THICKNESSMAP_UV ' + parameters.iridescenceThicknessMapUv : '',\n\n\t\t\tparameters.sheenColorMapUv ? '#define SHEEN_COLORMAP_UV ' + parameters.sheenColorMapUv : '',\n\t\t\tparameters.sheenRoughnessMapUv ? '#define SHEEN_ROUGHNESSMAP_UV ' + parameters.sheenRoughnessMapUv : '',\n\n\t\t\tparameters.specularMapUv ? '#define SPECULARMAP_UV ' + parameters.specularMapUv : '',\n\t\t\tparameters.specularColorMapUv ? '#define SPECULAR_COLORMAP_UV ' + parameters.specularColorMapUv : '',\n\t\t\tparameters.specularIntensityMapUv ? '#define SPECULAR_INTENSITYMAP_UV ' + parameters.specularIntensityMapUv : '',\n\n\t\t\tparameters.transmissionMapUv ? '#define TRANSMISSIONMAP_UV ' + parameters.transmissionMapUv : '',\n\t\t\tparameters.thicknessMapUv ? '#define THICKNESSMAP_UV ' + parameters.thicknessMapUv : '',\n\n\t\t\t//\n\n\t\t\tparameters.vertexTangents && parameters.flatShading === false ? '#define USE_TANGENT' : '',\n\t\t\tparameters.vertexColors ? '#define USE_COLOR' : '',\n\t\t\tparameters.vertexAlphas ? '#define USE_COLOR_ALPHA' : '',\n\t\t\tparameters.vertexUv1s ? '#define USE_UV1' : '',\n\t\t\tparameters.vertexUv2s ? '#define USE_UV2' : '',\n\t\t\tparameters.vertexUv3s ? '#define USE_UV3' : '',\n\n\t\t\tparameters.pointsUvs ? '#define USE_POINTS_UV' : '',\n\n\t\t\tparameters.flatShading ? '#define FLAT_SHADED' : '',\n\n\t\t\tparameters.skinning ? '#define USE_SKINNING' : '',\n\n\t\t\tparameters.morphTargets ? '#define USE_MORPHTARGETS' : '',\n\t\t\tparameters.morphNormals && parameters.flatShading === false ? '#define USE_MORPHNORMALS' : '',\n\t\t\t( parameters.morphColors && parameters.isWebGL2 ) ? '#define USE_MORPHCOLORS' : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_TEXTURE' : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_TEXTURE_STRIDE ' + parameters.morphTextureStride : '',\n\t\t\t( parameters.morphTargetsCount > 0 && parameters.isWebGL2 ) ? '#define MORPHTARGETS_COUNT ' + parameters.morphTargetsCount : '',\n\t\t\tparameters.doubleSided ? '#define DOUBLE_SIDED' : '',\n\t\t\tparameters.flipSided ? '#define FLIP_SIDED' : '',\n\n\t\t\tparameters.shadowMapEnabled ? '#define USE_SHADOWMAP' : '',\n\t\t\tparameters.shadowMapEnabled ? '#define ' + shadowMapTypeDefine : '',\n\n\t\t\tparameters.sizeAttenuation ? '#define USE_SIZEATTENUATION' : '',\n\n\t\t\tparameters.numLightProbes > 0 ? '#define USE_LIGHT_PROBES' : '',\n\n\t\t\tparameters.useLegacyLights ? '#define LEGACY_LIGHTS' : '',\n\n\t\t\tparameters.logarithmicDepthBuffer ? '#define USE_LOGDEPTHBUF' : '',\n\t\t\t( parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ) ? '#define USE_LOGDEPTHBUF_EXT' : '',\n\n\t\t\t'uniform mat4 modelMatrix;',\n\t\t\t'uniform mat4 modelViewMatrix;',\n\t\t\t'uniform mat4 projectionMatrix;',\n\t\t\t'uniform mat4 viewMatrix;',\n\t\t\t'uniform mat3 normalMatrix;',\n\t\t\t'uniform vec3 cameraPosition;',\n\t\t\t'uniform bool isOrthographic;',\n\n\t\t\t'#ifdef USE_INSTANCING',\n\n\t\t\t'\tattribute mat4 instanceMatrix;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_INSTANCING_COLOR',\n\n\t\t\t'\tattribute vec3 instanceColor;',\n\n\t\t\t'#endif',\n\n\t\t\t'attribute vec3 position;',\n\t\t\t'attribute vec3 normal;',\n\t\t\t'attribute vec2 uv;',\n\n\t\t\t'#ifdef USE_UV1',\n\n\t\t\t'\tattribute vec2 uv1;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_UV2',\n\n\t\t\t'\tattribute vec2 uv2;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_UV3',\n\n\t\t\t'\tattribute vec2 uv3;',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_TANGENT',\n\n\t\t\t'\tattribute vec4 tangent;',\n\n\t\t\t'#endif',\n\n\t\t\t'#if defined( USE_COLOR_ALPHA )',\n\n\t\t\t'\tattribute vec4 color;',\n\n\t\t\t'#elif defined( USE_COLOR )',\n\n\t\t\t'\tattribute vec3 color;',\n\n\t\t\t'#endif',\n\n\t\t\t'#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )',\n\n\t\t\t'\tattribute vec3 morphTarget0;',\n\t\t\t'\tattribute vec3 morphTarget1;',\n\t\t\t'\tattribute vec3 morphTarget2;',\n\t\t\t'\tattribute vec3 morphTarget3;',\n\n\t\t\t'\t#ifdef USE_MORPHNORMALS',\n\n\t\t\t'\t\tattribute vec3 morphNormal0;',\n\t\t\t'\t\tattribute vec3 morphNormal1;',\n\t\t\t'\t\tattribute vec3 morphNormal2;',\n\t\t\t'\t\tattribute vec3 morphNormal3;',\n\n\t\t\t'\t#else',\n\n\t\t\t'\t\tattribute vec3 morphTarget4;',\n\t\t\t'\t\tattribute vec3 morphTarget5;',\n\t\t\t'\t\tattribute vec3 morphTarget6;',\n\t\t\t'\t\tattribute vec3 morphTarget7;',\n\n\t\t\t'\t#endif',\n\n\t\t\t'#endif',\n\n\t\t\t'#ifdef USE_SKINNING',\n\n\t\t\t'\tattribute vec4 skinIndex;',\n\t\t\t'\tattribute vec4 skinWeight;',\n\n\t\t\t'#endif',\n\n\t\t\t'\\n'\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t\tprefixFragment = [\n\n\t\t\tcustomExtensions,\n\n\t\t\tgeneratePrecision( parameters ),\n\n\t\t\t'#define SHADER_TYPE ' + parameters.shaderType,\n\t\t\t'#define SHADER_NAME ' + parameters.shaderName,\n\n\t\t\tcustomDefines,\n\n\t\t\tparameters.useFog && parameters.fog ? '#define USE_FOG' : '',\n\t\t\tparameters.useFog && parameters.fogExp2 ? '#define FOG_EXP2' : '',\n\n\t\t\tparameters.map ? '#define USE_MAP' : '',\n\t\t\tparameters.matcap ? '#define USE_MATCAP' : '',\n\t\t\tparameters.envMap ? '#define USE_ENVMAP' : '',\n\t\t\tparameters.envMap ? '#define ' + envMapTypeDefine : '',\n\t\t\tparameters.envMap ? '#define ' + envMapModeDefine : '',\n\t\t\tparameters.envMap ? '#define ' + envMapBlendingDefine : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_TEXEL_WIDTH ' + envMapCubeUVSize.texelWidth : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_TEXEL_HEIGHT ' + envMapCubeUVSize.texelHeight : '',\n\t\t\tenvMapCubeUVSize ? '#define CUBEUV_MAX_MIP ' + envMapCubeUVSize.maxMip + '.0' : '',\n\t\t\tparameters.lightMap ? '#define USE_LIGHTMAP' : '',\n\t\t\tparameters.aoMap ? '#define USE_AOMAP' : '',\n\t\t\tparameters.bumpMap ? '#define USE_BUMPMAP' : '',\n\t\t\tparameters.normalMap ? '#define USE_NORMALMAP' : '',\n\t\t\tparameters.normalMapObjectSpace ? '#define USE_NORMALMAP_OBJECTSPACE' : '',\n\t\t\tparameters.normalMapTangentSpace ? '#define USE_NORMALMAP_TANGENTSPACE' : '',\n\t\t\tparameters.emissiveMap ? '#define USE_EMISSIVEMAP' : '',\n\n\t\t\tparameters.anisotropy ? '#define USE_ANISOTROPY' : '',\n\t\t\tparameters.anisotropyMap ? '#define USE_ANISOTROPYMAP' : '',\n\n\t\t\tparameters.clearcoat ? '#define USE_CLEARCOAT' : '',\n\t\t\tparameters.clearcoatMap ? '#define USE_CLEARCOATMAP' : '',\n\t\t\tparameters.clearcoatRoughnessMap ? '#define USE_CLEARCOAT_ROUGHNESSMAP' : '',\n\t\t\tparameters.clearcoatNormalMap ? '#define USE_CLEARCOAT_NORMALMAP' : '',\n\n\t\t\tparameters.iridescence ? '#define USE_IRIDESCENCE' : '',\n\t\t\tparameters.iridescenceMap ? '#define USE_IRIDESCENCEMAP' : '',\n\t\t\tparameters.iridescenceThicknessMap ? '#define USE_IRIDESCENCE_THICKNESSMAP' : '',\n\n\t\t\tparameters.specularMap ? '#define USE_SPECULARMAP' : '',\n\t\t\tparameters.specularColorMap ? '#define USE_SPECULAR_COLORMAP' : '',\n\t\t\tparameters.specularIntensityMap ? '#define USE_SPECULAR_INTENSITYMAP' : '',\n\n\t\t\tparameters.roughnessMap ? '#define USE_ROUGHNESSMAP' : '',\n\t\t\tparameters.metalnessMap ? '#define USE_METALNESSMAP' : '',\n\n\t\t\tparameters.alphaMap ? '#define USE_ALPHAMAP' : '',\n\t\t\tparameters.alphaTest ? '#define USE_ALPHATEST' : '',\n\t\t\tparameters.alphaHash ? '#define USE_ALPHAHASH' : '',\n\n\t\t\tparameters.sheen ? '#define USE_SHEEN' : '',\n\t\t\tparameters.sheenColorMap ? '#define USE_SHEEN_COLORMAP' : '',\n\t\t\tparameters.sheenRoughnessMap ? '#define USE_SHEEN_ROUGHNESSMAP' : '',\n\n\t\t\tparameters.transmission ? '#define USE_TRANSMISSION' : '',\n\t\t\tparameters.transmissionMap ? '#define USE_TRANSMISSIONMAP' : '',\n\t\t\tparameters.thicknessMap ? '#define USE_THICKNESSMAP' : '',\n\n\t\t\tparameters.vertexTangents && parameters.flatShading === false ? '#define USE_TANGENT' : '',\n\t\t\tparameters.vertexColors || parameters.instancingColor ? '#define USE_COLOR' : '',\n\t\t\tparameters.vertexAlphas ? '#define USE_COLOR_ALPHA' : '',\n\t\t\tparameters.vertexUv1s ? '#define USE_UV1' : '',\n\t\t\tparameters.vertexUv2s ? '#define USE_UV2' : '',\n\t\t\tparameters.vertexUv3s ? '#define USE_UV3' : '',\n\n\t\t\tparameters.pointsUvs ? '#define USE_POINTS_UV' : '',\n\n\t\t\tparameters.gradientMap ? '#define USE_GRADIENTMAP' : '',\n\n\t\t\tparameters.flatShading ? '#define FLAT_SHADED' : '',\n\n\t\t\tparameters.doubleSided ? '#define DOUBLE_SIDED' : '',\n\t\t\tparameters.flipSided ? '#define FLIP_SIDED' : '',\n\n\t\t\tparameters.shadowMapEnabled ? '#define USE_SHADOWMAP' : '',\n\t\t\tparameters.shadowMapEnabled ? '#define ' + shadowMapTypeDefine : '',\n\n\t\t\tparameters.premultipliedAlpha ? '#define PREMULTIPLIED_ALPHA' : '',\n\n\t\t\tparameters.numLightProbes > 0 ? '#define USE_LIGHT_PROBES' : '',\n\n\t\t\tparameters.useLegacyLights ? '#define LEGACY_LIGHTS' : '',\n\n\t\t\tparameters.decodeVideoTexture ? '#define DECODE_VIDEO_TEXTURE' : '',\n\n\t\t\tparameters.logarithmicDepthBuffer ? '#define USE_LOGDEPTHBUF' : '',\n\t\t\t( parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ) ? '#define USE_LOGDEPTHBUF_EXT' : '',\n\n\t\t\t'uniform mat4 viewMatrix;',\n\t\t\t'uniform vec3 cameraPosition;',\n\t\t\t'uniform bool isOrthographic;',\n\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? '#define TONE_MAPPING' : '',\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? ShaderChunk[ 'tonemapping_pars_fragment' ] : '', // this code is required here because it is used by the toneMapping() function defined below\n\t\t\t( parameters.toneMapping !== NoToneMapping ) ? getToneMappingFunction( 'toneMapping', parameters.toneMapping ) : '',\n\n\t\t\tparameters.dithering ? '#define DITHERING' : '',\n\t\t\tparameters.opaque ? '#define OPAQUE' : '',\n\n\t\t\tShaderChunk[ 'colorspace_pars_fragment' ], // this code is required here because it is used by the various encoding/decoding function defined below\n\t\t\tgetTexelEncodingFunction( 'linearToOutputTexel', parameters.outputColorSpace ),\n\n\t\t\tparameters.useDepthPacking ? '#define DEPTH_PACKING ' + parameters.depthPacking : '',\n\n\t\t\t'\\n'\n\n\t\t].filter( filterEmptyLine ).join( '\\n' );\n\n\t}\n\n\tvertexShader = resolveIncludes( vertexShader );\n\tvertexShader = replaceLightNums( vertexShader, parameters );\n\tvertexShader = replaceClippingPlaneNums( vertexShader, parameters );\n\n\tfragmentShader = resolveIncludes( fragmentShader );\n\tfragmentShader = replaceLightNums( fragmentShader, parameters );\n\tfragmentShader = replaceClippingPlaneNums( fragmentShader, parameters );\n\n\tvertexShader = unrollLoops( vertexShader );\n\tfragmentShader = unrollLoops( fragmentShader );\n\n\tif ( parameters.isWebGL2 && parameters.isRawShaderMaterial !== true ) {\n\n\t\t// GLSL 3.0 conversion for built-in materials and ShaderMaterial\n\n\t\tversionString = '#version 300 es\\n';\n\n\t\tprefixVertex = [\n\t\t\tcustomVertexExtensions,\n\t\t\t'precision mediump sampler2DArray;',\n\t\t\t'#define attribute in',\n\t\t\t'#define varying out',\n\t\t\t'#define texture2D texture'\n\t\t].join( '\\n' ) + '\\n' + prefixVertex;\n\n\t\tprefixFragment = [\n\t\t\t'precision mediump sampler2DArray;',\n\t\t\t'#define varying in',\n\t\t\t( parameters.glslVersion === GLSL3 ) ? '' : 'layout(location = 0) out highp vec4 pc_fragColor;',\n\t\t\t( parameters.glslVersion === GLSL3 ) ? '' : '#define gl_FragColor pc_fragColor',\n\t\t\t'#define gl_FragDepthEXT gl_FragDepth',\n\t\t\t'#define texture2D texture',\n\t\t\t'#define textureCube texture',\n\t\t\t'#define texture2DProj textureProj',\n\t\t\t'#define texture2DLodEXT textureLod',\n\t\t\t'#define texture2DProjLodEXT textureProjLod',\n\t\t\t'#define textureCubeLodEXT textureLod',\n\t\t\t'#define texture2DGradEXT textureGrad',\n\t\t\t'#define texture2DProjGradEXT textureProjGrad',\n\t\t\t'#define textureCubeGradEXT textureGrad'\n\t\t].join( '\\n' ) + '\\n' + prefixFragment;\n\n\t}\n\n\tconst vertexGlsl = versionString + prefixVertex + vertexShader;\n\tconst fragmentGlsl = versionString + prefixFragment + fragmentShader;\n\n\t// console.log( '*VERTEX*', vertexGlsl );\n\t// console.log( '*FRAGMENT*', fragmentGlsl );\n\n\tconst glVertexShader = WebGLShader( gl, gl.VERTEX_SHADER, vertexGlsl );\n\tconst glFragmentShader = WebGLShader( gl, gl.FRAGMENT_SHADER, fragmentGlsl );\n\n\tgl.attachShader( program, glVertexShader );\n\tgl.attachShader( program, glFragmentShader );\n\n\t// Force a particular attribute to index 0.\n\n\tif ( parameters.index0AttributeName !== undefined ) {\n\n\t\tgl.bindAttribLocation( program, 0, parameters.index0AttributeName );\n\n\t} else if ( parameters.morphTargets === true ) {\n\n\t\t// programs with morphTargets displace position out of attribute 0\n\t\tgl.bindAttribLocation( program, 0, 'position' );\n\n\t}\n\n\tgl.linkProgram( program );\n\n\tfunction onFirstUse( self ) {\n\n\t\t// check for link errors\n\t\tif ( renderer.debug.checkShaderErrors ) {\n\n\t\t\tconst programLog = gl.getProgramInfoLog( program ).trim();\n\t\t\tconst vertexLog = gl.getShaderInfoLog( glVertexShader ).trim();\n\t\t\tconst fragmentLog = gl.getShaderInfoLog( glFragmentShader ).trim();\n\n\t\t\tlet runnable = true;\n\t\t\tlet haveDiagnostics = true;\n\n\t\t\tif ( gl.getProgramParameter( program, gl.LINK_STATUS ) === false ) {\n\n\t\t\t\trunnable = false;\n\n\t\t\t\tif ( typeof renderer.debug.onShaderError === 'function' ) {\n\n\t\t\t\t\trenderer.debug.onShaderError( gl, program, glVertexShader, glFragmentShader );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// default error reporting\n\n\t\t\t\t\tconst vertexErrors = getShaderErrors( gl, glVertexShader, 'vertex' );\n\t\t\t\t\tconst fragmentErrors = getShaderErrors( gl, glFragmentShader, 'fragment' );\n\n\t\t\t\t\tconsole.error(\n\t\t\t\t\t\t'THREE.WebGLProgram: Shader Error ' + gl.getError() + ' - ' +\n\t\t\t\t\t\t'VALIDATE_STATUS ' + gl.getProgramParameter( program, gl.VALIDATE_STATUS ) + '\\n\\n' +\n\t\t\t\t\t\t'Program Info Log: ' + programLog + '\\n' +\n\t\t\t\t\t\tvertexErrors + '\\n' +\n\t\t\t\t\t\tfragmentErrors\n\t\t\t\t\t);\n\n\t\t\t\t}\n\n\t\t\t} else if ( programLog !== '' ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLProgram: Program Info Log:', programLog );\n\n\t\t\t} else if ( vertexLog === '' || fragmentLog === '' ) {\n\n\t\t\t\thaveDiagnostics = false;\n\n\t\t\t}\n\n\t\t\tif ( haveDiagnostics ) {\n\n\t\t\t\tself.diagnostics = {\n\n\t\t\t\t\trunnable: runnable,\n\n\t\t\t\t\tprogramLog: programLog,\n\n\t\t\t\t\tvertexShader: {\n\n\t\t\t\t\t\tlog: vertexLog,\n\t\t\t\t\t\tprefix: prefixVertex\n\n\t\t\t\t\t},\n\n\t\t\t\t\tfragmentShader: {\n\n\t\t\t\t\t\tlog: fragmentLog,\n\t\t\t\t\t\tprefix: prefixFragment\n\n\t\t\t\t\t}\n\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Clean up\n\n\t\t// Crashes in iOS9 and iOS10. #18402\n\t\t// gl.detachShader( program, glVertexShader );\n\t\t// gl.detachShader( program, glFragmentShader );\n\n\t\tgl.deleteShader( glVertexShader );\n\t\tgl.deleteShader( glFragmentShader );\n\n\t\tcachedUniforms = new WebGLUniforms( gl, program );\n\t\tcachedAttributes = fetchAttributeLocations( gl, program );\n\n\t}\n\n\t// set up caching for uniform locations\n\n\tlet cachedUniforms;\n\n\tthis.getUniforms = function () {\n\n\t\tif ( cachedUniforms === undefined ) {\n\n\t\t\t// Populates cachedUniforms and cachedAttributes\n\t\t\tonFirstUse( this );\n\n\t\t}\n\n\t\treturn cachedUniforms;\n\n\t};\n\n\t// set up caching for attribute locations\n\n\tlet cachedAttributes;\n\n\tthis.getAttributes = function () {\n\n\t\tif ( cachedAttributes === undefined ) {\n\n\t\t\t// Populates cachedAttributes and cachedUniforms\n\t\t\tonFirstUse( this );\n\n\t\t}\n\n\t\treturn cachedAttributes;\n\n\t};\n\n\t// indicate when the program is ready to be used. if the KHR_parallel_shader_compile extension isn't supported,\n\t// flag the program as ready immediately. It may cause a stall when it's first used.\n\n\tlet programReady = ( parameters.rendererExtensionParallelShaderCompile === false );\n\n\tthis.isReady = function () {\n\n\t\tif ( programReady === false ) {\n\n\t\t\tprogramReady = gl.getProgramParameter( program, COMPLETION_STATUS_KHR );\n\n\t\t}\n\n\t\treturn programReady;\n\n\t};\n\n\t// free resource\n\n\tthis.destroy = function () {\n\n\t\tbindingStates.releaseStatesOfProgram( this );\n\n\t\tgl.deleteProgram( program );\n\t\tthis.program = undefined;\n\n\t};\n\n\t//\n\n\tthis.type = parameters.shaderType;\n\tthis.name = parameters.shaderName;\n\tthis.id = programIdCount ++;\n\tthis.cacheKey = cacheKey;\n\tthis.usedTimes = 1;\n\tthis.program = program;\n\tthis.vertexShader = glVertexShader;\n\tthis.fragmentShader = glFragmentShader;\n\n\treturn this;\n\n}\n\nlet _id$1 = 0;\n\nclass WebGLShaderCache {\n\n\tconstructor() {\n\n\t\tthis.shaderCache = new Map();\n\t\tthis.materialCache = new Map();\n\n\t}\n\n\tupdate( material ) {\n\n\t\tconst vertexShader = material.vertexShader;\n\t\tconst fragmentShader = material.fragmentShader;\n\n\t\tconst vertexShaderStage = this._getShaderStage( vertexShader );\n\t\tconst fragmentShaderStage = this._getShaderStage( fragmentShader );\n\n\t\tconst materialShaders = this._getShaderCacheForMaterial( material );\n\n\t\tif ( materialShaders.has( vertexShaderStage ) === false ) {\n\n\t\t\tmaterialShaders.add( vertexShaderStage );\n\t\t\tvertexShaderStage.usedTimes ++;\n\n\t\t}\n\n\t\tif ( materialShaders.has( fragmentShaderStage ) === false ) {\n\n\t\t\tmaterialShaders.add( fragmentShaderStage );\n\t\t\tfragmentShaderStage.usedTimes ++;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tremove( material ) {\n\n\t\tconst materialShaders = this.materialCache.get( material );\n\n\t\tfor ( const shaderStage of materialShaders ) {\n\n\t\t\tshaderStage.usedTimes --;\n\n\t\t\tif ( shaderStage.usedTimes === 0 ) this.shaderCache.delete( shaderStage.code );\n\n\t\t}\n\n\t\tthis.materialCache.delete( material );\n\n\t\treturn this;\n\n\t}\n\n\tgetVertexShaderID( material ) {\n\n\t\treturn this._getShaderStage( material.vertexShader ).id;\n\n\t}\n\n\tgetFragmentShaderID( material ) {\n\n\t\treturn this._getShaderStage( material.fragmentShader ).id;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shaderCache.clear();\n\t\tthis.materialCache.clear();\n\n\t}\n\n\t_getShaderCacheForMaterial( material ) {\n\n\t\tconst cache = this.materialCache;\n\t\tlet set = cache.get( material );\n\n\t\tif ( set === undefined ) {\n\n\t\t\tset = new Set();\n\t\t\tcache.set( material, set );\n\n\t\t}\n\n\t\treturn set;\n\n\t}\n\n\t_getShaderStage( code ) {\n\n\t\tconst cache = this.shaderCache;\n\t\tlet stage = cache.get( code );\n\n\t\tif ( stage === undefined ) {\n\n\t\t\tstage = new WebGLShaderStage( code );\n\t\t\tcache.set( code, stage );\n\n\t\t}\n\n\t\treturn stage;\n\n\t}\n\n}\n\nclass WebGLShaderStage {\n\n\tconstructor( code ) {\n\n\t\tthis.id = _id$1 ++;\n\n\t\tthis.code = code;\n\t\tthis.usedTimes = 0;\n\n\t}\n\n}\n\nfunction WebGLPrograms( renderer, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping ) {\n\n\tconst _programLayers = new Layers();\n\tconst _customShaders = new WebGLShaderCache();\n\tconst programs = [];\n\n\tconst IS_WEBGL2 = capabilities.isWebGL2;\n\tconst logarithmicDepthBuffer = capabilities.logarithmicDepthBuffer;\n\tconst SUPPORTS_VERTEX_TEXTURES = capabilities.vertexTextures;\n\n\tlet precision = capabilities.precision;\n\n\tconst shaderIDs = {\n\t\tMeshDepthMaterial: 'depth',\n\t\tMeshDistanceMaterial: 'distanceRGBA',\n\t\tMeshNormalMaterial: 'normal',\n\t\tMeshBasicMaterial: 'basic',\n\t\tMeshLambertMaterial: 'lambert',\n\t\tMeshPhongMaterial: 'phong',\n\t\tMeshToonMaterial: 'toon',\n\t\tMeshStandardMaterial: 'physical',\n\t\tMeshPhysicalMaterial: 'physical',\n\t\tMeshMatcapMaterial: 'matcap',\n\t\tLineBasicMaterial: 'basic',\n\t\tLineDashedMaterial: 'dashed',\n\t\tPointsMaterial: 'points',\n\t\tShadowMaterial: 'shadow',\n\t\tSpriteMaterial: 'sprite'\n\t};\n\n\tfunction getChannel( value ) {\n\n\t\tif ( value === 0 ) return 'uv';\n\n\t\treturn `uv${ value }`;\n\n\t}\n\n\tfunction getParameters( material, lights, shadows, scene, object ) {\n\n\t\tconst fog = scene.fog;\n\t\tconst geometry = object.geometry;\n\t\tconst environment = material.isMeshStandardMaterial ? scene.environment : null;\n\n\t\tconst envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || environment );\n\t\tconst envMapCubeUVHeight = ( !! envMap ) && ( envMap.mapping === CubeUVReflectionMapping ) ? envMap.image.height : null;\n\n\t\tconst shaderID = shaderIDs[ material.type ];\n\n\t\t// heuristics to create shader parameters according to lights in the scene\n\t\t// (not to blow over maxLights budget)\n\n\t\tif ( material.precision !== null ) {\n\n\t\t\tprecision = capabilities.getMaxPrecision( material.precision );\n\n\t\t\tif ( precision !== material.precision ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLProgram.getParameters:', material.precision, 'not supported, using', precision, 'instead.' );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\tlet morphTextureStride = 0;\n\n\t\tif ( geometry.morphAttributes.position !== undefined ) morphTextureStride = 1;\n\t\tif ( geometry.morphAttributes.normal !== undefined ) morphTextureStride = 2;\n\t\tif ( geometry.morphAttributes.color !== undefined ) morphTextureStride = 3;\n\n\t\t//\n\n\t\tlet vertexShader, fragmentShader;\n\t\tlet customVertexShaderID, customFragmentShaderID;\n\n\t\tif ( shaderID ) {\n\n\t\t\tconst shader = ShaderLib[ shaderID ];\n\n\t\t\tvertexShader = shader.vertexShader;\n\t\t\tfragmentShader = shader.fragmentShader;\n\n\t\t} else {\n\n\t\t\tvertexShader = material.vertexShader;\n\t\t\tfragmentShader = material.fragmentShader;\n\n\t\t\t_customShaders.update( material );\n\n\t\t\tcustomVertexShaderID = _customShaders.getVertexShaderID( material );\n\t\t\tcustomFragmentShaderID = _customShaders.getFragmentShaderID( material );\n\n\t\t}\n\n\t\tconst currentRenderTarget = renderer.getRenderTarget();\n\n\t\tconst IS_INSTANCEDMESH = object.isInstancedMesh === true;\n\t\tconst IS_BATCHEDMESH = object.isBatchedMesh === true;\n\n\t\tconst HAS_MAP = !! material.map;\n\t\tconst HAS_MATCAP = !! material.matcap;\n\t\tconst HAS_ENVMAP = !! envMap;\n\t\tconst HAS_AOMAP = !! material.aoMap;\n\t\tconst HAS_LIGHTMAP = !! material.lightMap;\n\t\tconst HAS_BUMPMAP = !! material.bumpMap;\n\t\tconst HAS_NORMALMAP = !! material.normalMap;\n\t\tconst HAS_DISPLACEMENTMAP = !! material.displacementMap;\n\t\tconst HAS_EMISSIVEMAP = !! material.emissiveMap;\n\n\t\tconst HAS_METALNESSMAP = !! material.metalnessMap;\n\t\tconst HAS_ROUGHNESSMAP = !! material.roughnessMap;\n\n\t\tconst HAS_ANISOTROPY = material.anisotropy > 0;\n\t\tconst HAS_CLEARCOAT = material.clearcoat > 0;\n\t\tconst HAS_IRIDESCENCE = material.iridescence > 0;\n\t\tconst HAS_SHEEN = material.sheen > 0;\n\t\tconst HAS_TRANSMISSION = material.transmission > 0;\n\n\t\tconst HAS_ANISOTROPYMAP = HAS_ANISOTROPY && !! material.anisotropyMap;\n\n\t\tconst HAS_CLEARCOATMAP = HAS_CLEARCOAT && !! material.clearcoatMap;\n\t\tconst HAS_CLEARCOAT_NORMALMAP = HAS_CLEARCOAT && !! material.clearcoatNormalMap;\n\t\tconst HAS_CLEARCOAT_ROUGHNESSMAP = HAS_CLEARCOAT && !! material.clearcoatRoughnessMap;\n\n\t\tconst HAS_IRIDESCENCEMAP = HAS_IRIDESCENCE && !! material.iridescenceMap;\n\t\tconst HAS_IRIDESCENCE_THICKNESSMAP = HAS_IRIDESCENCE && !! material.iridescenceThicknessMap;\n\n\t\tconst HAS_SHEEN_COLORMAP = HAS_SHEEN && !! material.sheenColorMap;\n\t\tconst HAS_SHEEN_ROUGHNESSMAP = HAS_SHEEN && !! material.sheenRoughnessMap;\n\n\t\tconst HAS_SPECULARMAP = !! material.specularMap;\n\t\tconst HAS_SPECULAR_COLORMAP = !! material.specularColorMap;\n\t\tconst HAS_SPECULAR_INTENSITYMAP = !! material.specularIntensityMap;\n\n\t\tconst HAS_TRANSMISSIONMAP = HAS_TRANSMISSION && !! material.transmissionMap;\n\t\tconst HAS_THICKNESSMAP = HAS_TRANSMISSION && !! material.thicknessMap;\n\n\t\tconst HAS_GRADIENTMAP = !! material.gradientMap;\n\n\t\tconst HAS_ALPHAMAP = !! material.alphaMap;\n\n\t\tconst HAS_ALPHATEST = material.alphaTest > 0;\n\n\t\tconst HAS_ALPHAHASH = !! material.alphaHash;\n\n\t\tconst HAS_EXTENSIONS = !! material.extensions;\n\n\t\tconst HAS_ATTRIBUTE_UV1 = !! geometry.attributes.uv1;\n\t\tconst HAS_ATTRIBUTE_UV2 = !! geometry.attributes.uv2;\n\t\tconst HAS_ATTRIBUTE_UV3 = !! geometry.attributes.uv3;\n\n\t\tlet toneMapping = NoToneMapping;\n\n\t\tif ( material.toneMapped ) {\n\n\t\t\tif ( currentRenderTarget === null || currentRenderTarget.isXRRenderTarget === true ) {\n\n\t\t\t\ttoneMapping = renderer.toneMapping;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst parameters = {\n\n\t\t\tisWebGL2: IS_WEBGL2,\n\n\t\t\tshaderID: shaderID,\n\t\t\tshaderType: material.type,\n\t\t\tshaderName: material.name,\n\n\t\t\tvertexShader: vertexShader,\n\t\t\tfragmentShader: fragmentShader,\n\t\t\tdefines: material.defines,\n\n\t\t\tcustomVertexShaderID: customVertexShaderID,\n\t\t\tcustomFragmentShaderID: customFragmentShaderID,\n\n\t\t\tisRawShaderMaterial: material.isRawShaderMaterial === true,\n\t\t\tglslVersion: material.glslVersion,\n\n\t\t\tprecision: precision,\n\n\t\t\tbatching: IS_BATCHEDMESH,\n\t\t\tinstancing: IS_INSTANCEDMESH,\n\t\t\tinstancingColor: IS_INSTANCEDMESH && object.instanceColor !== null,\n\n\t\t\tsupportsVertexTextures: SUPPORTS_VERTEX_TEXTURES,\n\t\t\toutputColorSpace: ( currentRenderTarget === null ) ? renderer.outputColorSpace : ( currentRenderTarget.isXRRenderTarget === true ? currentRenderTarget.texture.colorSpace : LinearSRGBColorSpace ),\n\n\t\t\tmap: HAS_MAP,\n\t\t\tmatcap: HAS_MATCAP,\n\t\t\tenvMap: HAS_ENVMAP,\n\t\t\tenvMapMode: HAS_ENVMAP && envMap.mapping,\n\t\t\tenvMapCubeUVHeight: envMapCubeUVHeight,\n\t\t\taoMap: HAS_AOMAP,\n\t\t\tlightMap: HAS_LIGHTMAP,\n\t\t\tbumpMap: HAS_BUMPMAP,\n\t\t\tnormalMap: HAS_NORMALMAP,\n\t\t\tdisplacementMap: SUPPORTS_VERTEX_TEXTURES && HAS_DISPLACEMENTMAP,\n\t\t\temissiveMap: HAS_EMISSIVEMAP,\n\n\t\t\tnormalMapObjectSpace: HAS_NORMALMAP && material.normalMapType === ObjectSpaceNormalMap,\n\t\t\tnormalMapTangentSpace: HAS_NORMALMAP && material.normalMapType === TangentSpaceNormalMap,\n\n\t\t\tmetalnessMap: HAS_METALNESSMAP,\n\t\t\troughnessMap: HAS_ROUGHNESSMAP,\n\n\t\t\tanisotropy: HAS_ANISOTROPY,\n\t\t\tanisotropyMap: HAS_ANISOTROPYMAP,\n\n\t\t\tclearcoat: HAS_CLEARCOAT,\n\t\t\tclearcoatMap: HAS_CLEARCOATMAP,\n\t\t\tclearcoatNormalMap: HAS_CLEARCOAT_NORMALMAP,\n\t\t\tclearcoatRoughnessMap: HAS_CLEARCOAT_ROUGHNESSMAP,\n\n\t\t\tiridescence: HAS_IRIDESCENCE,\n\t\t\tiridescenceMap: HAS_IRIDESCENCEMAP,\n\t\t\tiridescenceThicknessMap: HAS_IRIDESCENCE_THICKNESSMAP,\n\n\t\t\tsheen: HAS_SHEEN,\n\t\t\tsheenColorMap: HAS_SHEEN_COLORMAP,\n\t\t\tsheenRoughnessMap: HAS_SHEEN_ROUGHNESSMAP,\n\n\t\t\tspecularMap: HAS_SPECULARMAP,\n\t\t\tspecularColorMap: HAS_SPECULAR_COLORMAP,\n\t\t\tspecularIntensityMap: HAS_SPECULAR_INTENSITYMAP,\n\n\t\t\ttransmission: HAS_TRANSMISSION,\n\t\t\ttransmissionMap: HAS_TRANSMISSIONMAP,\n\t\t\tthicknessMap: HAS_THICKNESSMAP,\n\n\t\t\tgradientMap: HAS_GRADIENTMAP,\n\n\t\t\topaque: material.transparent === false && material.blending === NormalBlending,\n\n\t\t\talphaMap: HAS_ALPHAMAP,\n\t\t\talphaTest: HAS_ALPHATEST,\n\t\t\talphaHash: HAS_ALPHAHASH,\n\n\t\t\tcombine: material.combine,\n\n\t\t\t//\n\n\t\t\tmapUv: HAS_MAP && getChannel( material.map.channel ),\n\t\t\taoMapUv: HAS_AOMAP && getChannel( material.aoMap.channel ),\n\t\t\tlightMapUv: HAS_LIGHTMAP && getChannel( material.lightMap.channel ),\n\t\t\tbumpMapUv: HAS_BUMPMAP && getChannel( material.bumpMap.channel ),\n\t\t\tnormalMapUv: HAS_NORMALMAP && getChannel( material.normalMap.channel ),\n\t\t\tdisplacementMapUv: HAS_DISPLACEMENTMAP && getChannel( material.displacementMap.channel ),\n\t\t\temissiveMapUv: HAS_EMISSIVEMAP && getChannel( material.emissiveMap.channel ),\n\n\t\t\tmetalnessMapUv: HAS_METALNESSMAP && getChannel( material.metalnessMap.channel ),\n\t\t\troughnessMapUv: HAS_ROUGHNESSMAP && getChannel( material.roughnessMap.channel ),\n\n\t\t\tanisotropyMapUv: HAS_ANISOTROPYMAP && getChannel( material.anisotropyMap.channel ),\n\n\t\t\tclearcoatMapUv: HAS_CLEARCOATMAP && getChannel( material.clearcoatMap.channel ),\n\t\t\tclearcoatNormalMapUv: HAS_CLEARCOAT_NORMALMAP && getChannel( material.clearcoatNormalMap.channel ),\n\t\t\tclearcoatRoughnessMapUv: HAS_CLEARCOAT_ROUGHNESSMAP && getChannel( material.clearcoatRoughnessMap.channel ),\n\n\t\t\tiridescenceMapUv: HAS_IRIDESCENCEMAP && getChannel( material.iridescenceMap.channel ),\n\t\t\tiridescenceThicknessMapUv: HAS_IRIDESCENCE_THICKNESSMAP && getChannel( material.iridescenceThicknessMap.channel ),\n\n\t\t\tsheenColorMapUv: HAS_SHEEN_COLORMAP && getChannel( material.sheenColorMap.channel ),\n\t\t\tsheenRoughnessMapUv: HAS_SHEEN_ROUGHNESSMAP && getChannel( material.sheenRoughnessMap.channel ),\n\n\t\t\tspecularMapUv: HAS_SPECULARMAP && getChannel( material.specularMap.channel ),\n\t\t\tspecularColorMapUv: HAS_SPECULAR_COLORMAP && getChannel( material.specularColorMap.channel ),\n\t\t\tspecularIntensityMapUv: HAS_SPECULAR_INTENSITYMAP && getChannel( material.specularIntensityMap.channel ),\n\n\t\t\ttransmissionMapUv: HAS_TRANSMISSIONMAP && getChannel( material.transmissionMap.channel ),\n\t\t\tthicknessMapUv: HAS_THICKNESSMAP && getChannel( material.thicknessMap.channel ),\n\n\t\t\talphaMapUv: HAS_ALPHAMAP && getChannel( material.alphaMap.channel ),\n\n\t\t\t//\n\n\t\t\tvertexTangents: !! geometry.attributes.tangent && ( HAS_NORMALMAP || HAS_ANISOTROPY ),\n\t\t\tvertexColors: material.vertexColors,\n\t\t\tvertexAlphas: material.vertexColors === true && !! geometry.attributes.color && geometry.attributes.color.itemSize === 4,\n\t\t\tvertexUv1s: HAS_ATTRIBUTE_UV1,\n\t\t\tvertexUv2s: HAS_ATTRIBUTE_UV2,\n\t\t\tvertexUv3s: HAS_ATTRIBUTE_UV3,\n\n\t\t\tpointsUvs: object.isPoints === true && !! geometry.attributes.uv && ( HAS_MAP || HAS_ALPHAMAP ),\n\n\t\t\tfog: !! fog,\n\t\t\tuseFog: material.fog === true,\n\t\t\tfogExp2: ( fog && fog.isFogExp2 ),\n\n\t\t\tflatShading: material.flatShading === true,\n\n\t\t\tsizeAttenuation: material.sizeAttenuation === true,\n\t\t\tlogarithmicDepthBuffer: logarithmicDepthBuffer,\n\n\t\t\tskinning: object.isSkinnedMesh === true,\n\n\t\t\tmorphTargets: geometry.morphAttributes.position !== undefined,\n\t\t\tmorphNormals: geometry.morphAttributes.normal !== undefined,\n\t\t\tmorphColors: geometry.morphAttributes.color !== undefined,\n\t\t\tmorphTargetsCount: morphTargetsCount,\n\t\t\tmorphTextureStride: morphTextureStride,\n\n\t\t\tnumDirLights: lights.directional.length,\n\t\t\tnumPointLights: lights.point.length,\n\t\t\tnumSpotLights: lights.spot.length,\n\t\t\tnumSpotLightMaps: lights.spotLightMap.length,\n\t\t\tnumRectAreaLights: lights.rectArea.length,\n\t\t\tnumHemiLights: lights.hemi.length,\n\n\t\t\tnumDirLightShadows: lights.directionalShadowMap.length,\n\t\t\tnumPointLightShadows: lights.pointShadowMap.length,\n\t\t\tnumSpotLightShadows: lights.spotShadowMap.length,\n\t\t\tnumSpotLightShadowsWithMaps: lights.numSpotLightShadowsWithMaps,\n\n\t\t\tnumLightProbes: lights.numLightProbes,\n\n\t\t\tnumClippingPlanes: clipping.numPlanes,\n\t\t\tnumClipIntersection: clipping.numIntersection,\n\n\t\t\tdithering: material.dithering,\n\n\t\t\tshadowMapEnabled: renderer.shadowMap.enabled && shadows.length > 0,\n\t\t\tshadowMapType: renderer.shadowMap.type,\n\n\t\t\ttoneMapping: toneMapping,\n\t\t\tuseLegacyLights: renderer._useLegacyLights,\n\n\t\t\tdecodeVideoTexture: HAS_MAP && ( material.map.isVideoTexture === true ) && ( ColorManagement.getTransfer( material.map.colorSpace ) === SRGBTransfer ),\n\n\t\t\tpremultipliedAlpha: material.premultipliedAlpha,\n\n\t\t\tdoubleSided: material.side === DoubleSide,\n\t\t\tflipSided: material.side === BackSide,\n\n\t\t\tuseDepthPacking: material.depthPacking >= 0,\n\t\t\tdepthPacking: material.depthPacking || 0,\n\n\t\t\tindex0AttributeName: material.index0AttributeName,\n\n\t\t\textensionDerivatives: HAS_EXTENSIONS && material.extensions.derivatives === true,\n\t\t\textensionFragDepth: HAS_EXTENSIONS && material.extensions.fragDepth === true,\n\t\t\textensionDrawBuffers: HAS_EXTENSIONS && material.extensions.drawBuffers === true,\n\t\t\textensionShaderTextureLOD: HAS_EXTENSIONS && material.extensions.shaderTextureLOD === true,\n\t\t\textensionClipCullDistance: HAS_EXTENSIONS && material.extensions.clipCullDistance && extensions.has( 'WEBGL_clip_cull_distance' ),\n\n\t\t\trendererExtensionFragDepth: IS_WEBGL2 || extensions.has( 'EXT_frag_depth' ),\n\t\t\trendererExtensionDrawBuffers: IS_WEBGL2 || extensions.has( 'WEBGL_draw_buffers' ),\n\t\t\trendererExtensionShaderTextureLod: IS_WEBGL2 || extensions.has( 'EXT_shader_texture_lod' ),\n\t\t\trendererExtensionParallelShaderCompile: extensions.has( 'KHR_parallel_shader_compile' ),\n\n\t\t\tcustomProgramCacheKey: material.customProgramCacheKey()\n\n\t\t};\n\n\t\treturn parameters;\n\n\t}\n\n\tfunction getProgramCacheKey( parameters ) {\n\n\t\tconst array = [];\n\n\t\tif ( parameters.shaderID ) {\n\n\t\t\tarray.push( parameters.shaderID );\n\n\t\t} else {\n\n\t\t\tarray.push( parameters.customVertexShaderID );\n\t\t\tarray.push( parameters.customFragmentShaderID );\n\n\t\t}\n\n\t\tif ( parameters.defines !== undefined ) {\n\n\t\t\tfor ( const name in parameters.defines ) {\n\n\t\t\t\tarray.push( name );\n\t\t\t\tarray.push( parameters.defines[ name ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( parameters.isRawShaderMaterial === false ) {\n\n\t\t\tgetProgramCacheKeyParameters( array, parameters );\n\t\t\tgetProgramCacheKeyBooleans( array, parameters );\n\t\t\tarray.push( renderer.outputColorSpace );\n\n\t\t}\n\n\t\tarray.push( parameters.customProgramCacheKey );\n\n\t\treturn array.join();\n\n\t}\n\n\tfunction getProgramCacheKeyParameters( array, parameters ) {\n\n\t\tarray.push( parameters.precision );\n\t\tarray.push( parameters.outputColorSpace );\n\t\tarray.push( parameters.envMapMode );\n\t\tarray.push( parameters.envMapCubeUVHeight );\n\t\tarray.push( parameters.mapUv );\n\t\tarray.push( parameters.alphaMapUv );\n\t\tarray.push( parameters.lightMapUv );\n\t\tarray.push( parameters.aoMapUv );\n\t\tarray.push( parameters.bumpMapUv );\n\t\tarray.push( parameters.normalMapUv );\n\t\tarray.push( parameters.displacementMapUv );\n\t\tarray.push( parameters.emissiveMapUv );\n\t\tarray.push( parameters.metalnessMapUv );\n\t\tarray.push( parameters.roughnessMapUv );\n\t\tarray.push( parameters.anisotropyMapUv );\n\t\tarray.push( parameters.clearcoatMapUv );\n\t\tarray.push( parameters.clearcoatNormalMapUv );\n\t\tarray.push( parameters.clearcoatRoughnessMapUv );\n\t\tarray.push( parameters.iridescenceMapUv );\n\t\tarray.push( parameters.iridescenceThicknessMapUv );\n\t\tarray.push( parameters.sheenColorMapUv );\n\t\tarray.push( parameters.sheenRoughnessMapUv );\n\t\tarray.push( parameters.specularMapUv );\n\t\tarray.push( parameters.specularColorMapUv );\n\t\tarray.push( parameters.specularIntensityMapUv );\n\t\tarray.push( parameters.transmissionMapUv );\n\t\tarray.push( parameters.thicknessMapUv );\n\t\tarray.push( parameters.combine );\n\t\tarray.push( parameters.fogExp2 );\n\t\tarray.push( parameters.sizeAttenuation );\n\t\tarray.push( parameters.morphTargetsCount );\n\t\tarray.push( parameters.morphAttributeCount );\n\t\tarray.push( parameters.numDirLights );\n\t\tarray.push( parameters.numPointLights );\n\t\tarray.push( parameters.numSpotLights );\n\t\tarray.push( parameters.numSpotLightMaps );\n\t\tarray.push( parameters.numHemiLights );\n\t\tarray.push( parameters.numRectAreaLights );\n\t\tarray.push( parameters.numDirLightShadows );\n\t\tarray.push( parameters.numPointLightShadows );\n\t\tarray.push( parameters.numSpotLightShadows );\n\t\tarray.push( parameters.numSpotLightShadowsWithMaps );\n\t\tarray.push( parameters.numLightProbes );\n\t\tarray.push( parameters.shadowMapType );\n\t\tarray.push( parameters.toneMapping );\n\t\tarray.push( parameters.numClippingPlanes );\n\t\tarray.push( parameters.numClipIntersection );\n\t\tarray.push( parameters.depthPacking );\n\n\t}\n\n\tfunction getProgramCacheKeyBooleans( array, parameters ) {\n\n\t\t_programLayers.disableAll();\n\n\t\tif ( parameters.isWebGL2 )\n\t\t\t_programLayers.enable( 0 );\n\t\tif ( parameters.supportsVertexTextures )\n\t\t\t_programLayers.enable( 1 );\n\t\tif ( parameters.instancing )\n\t\t\t_programLayers.enable( 2 );\n\t\tif ( parameters.instancingColor )\n\t\t\t_programLayers.enable( 3 );\n\t\tif ( parameters.matcap )\n\t\t\t_programLayers.enable( 4 );\n\t\tif ( parameters.envMap )\n\t\t\t_programLayers.enable( 5 );\n\t\tif ( parameters.normalMapObjectSpace )\n\t\t\t_programLayers.enable( 6 );\n\t\tif ( parameters.normalMapTangentSpace )\n\t\t\t_programLayers.enable( 7 );\n\t\tif ( parameters.clearcoat )\n\t\t\t_programLayers.enable( 8 );\n\t\tif ( parameters.iridescence )\n\t\t\t_programLayers.enable( 9 );\n\t\tif ( parameters.alphaTest )\n\t\t\t_programLayers.enable( 10 );\n\t\tif ( parameters.vertexColors )\n\t\t\t_programLayers.enable( 11 );\n\t\tif ( parameters.vertexAlphas )\n\t\t\t_programLayers.enable( 12 );\n\t\tif ( parameters.vertexUv1s )\n\t\t\t_programLayers.enable( 13 );\n\t\tif ( parameters.vertexUv2s )\n\t\t\t_programLayers.enable( 14 );\n\t\tif ( parameters.vertexUv3s )\n\t\t\t_programLayers.enable( 15 );\n\t\tif ( parameters.vertexTangents )\n\t\t\t_programLayers.enable( 16 );\n\t\tif ( parameters.anisotropy )\n\t\t\t_programLayers.enable( 17 );\n\t\tif ( parameters.alphaHash )\n\t\t\t_programLayers.enable( 18 );\n\t\tif ( parameters.batching )\n\t\t\t_programLayers.enable( 19 );\n\n\t\tarray.push( _programLayers.mask );\n\t\t_programLayers.disableAll();\n\n\t\tif ( parameters.fog )\n\t\t\t_programLayers.enable( 0 );\n\t\tif ( parameters.useFog )\n\t\t\t_programLayers.enable( 1 );\n\t\tif ( parameters.flatShading )\n\t\t\t_programLayers.enable( 2 );\n\t\tif ( parameters.logarithmicDepthBuffer )\n\t\t\t_programLayers.enable( 3 );\n\t\tif ( parameters.skinning )\n\t\t\t_programLayers.enable( 4 );\n\t\tif ( parameters.morphTargets )\n\t\t\t_programLayers.enable( 5 );\n\t\tif ( parameters.morphNormals )\n\t\t\t_programLayers.enable( 6 );\n\t\tif ( parameters.morphColors )\n\t\t\t_programLayers.enable( 7 );\n\t\tif ( parameters.premultipliedAlpha )\n\t\t\t_programLayers.enable( 8 );\n\t\tif ( parameters.shadowMapEnabled )\n\t\t\t_programLayers.enable( 9 );\n\t\tif ( parameters.useLegacyLights )\n\t\t\t_programLayers.enable( 10 );\n\t\tif ( parameters.doubleSided )\n\t\t\t_programLayers.enable( 11 );\n\t\tif ( parameters.flipSided )\n\t\t\t_programLayers.enable( 12 );\n\t\tif ( parameters.useDepthPacking )\n\t\t\t_programLayers.enable( 13 );\n\t\tif ( parameters.dithering )\n\t\t\t_programLayers.enable( 14 );\n\t\tif ( parameters.transmission )\n\t\t\t_programLayers.enable( 15 );\n\t\tif ( parameters.sheen )\n\t\t\t_programLayers.enable( 16 );\n\t\tif ( parameters.opaque )\n\t\t\t_programLayers.enable( 17 );\n\t\tif ( parameters.pointsUvs )\n\t\t\t_programLayers.enable( 18 );\n\t\tif ( parameters.decodeVideoTexture )\n\t\t\t_programLayers.enable( 19 );\n\n\t\tarray.push( _programLayers.mask );\n\n\t}\n\n\tfunction getUniforms( material ) {\n\n\t\tconst shaderID = shaderIDs[ material.type ];\n\t\tlet uniforms;\n\n\t\tif ( shaderID ) {\n\n\t\t\tconst shader = ShaderLib[ shaderID ];\n\t\t\tuniforms = UniformsUtils.clone( shader.uniforms );\n\n\t\t} else {\n\n\t\t\tuniforms = material.uniforms;\n\n\t\t}\n\n\t\treturn uniforms;\n\n\t}\n\n\tfunction acquireProgram( parameters, cacheKey ) {\n\n\t\tlet program;\n\n\t\t// Check if code has been already compiled\n\t\tfor ( let p = 0, pl = programs.length; p < pl; p ++ ) {\n\n\t\t\tconst preexistingProgram = programs[ p ];\n\n\t\t\tif ( preexistingProgram.cacheKey === cacheKey ) {\n\n\t\t\t\tprogram = preexistingProgram;\n\t\t\t\t++ program.usedTimes;\n\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( program === undefined ) {\n\n\t\t\tprogram = new WebGLProgram( renderer, cacheKey, parameters, bindingStates );\n\t\t\tprograms.push( program );\n\n\t\t}\n\n\t\treturn program;\n\n\t}\n\n\tfunction releaseProgram( program ) {\n\n\t\tif ( -- program.usedTimes === 0 ) {\n\n\t\t\t// Remove from unordered set\n\t\t\tconst i = programs.indexOf( program );\n\t\t\tprograms[ i ] = programs[ programs.length - 1 ];\n\t\t\tprograms.pop();\n\n\t\t\t// Free WebGL resources\n\t\t\tprogram.destroy();\n\n\t\t}\n\n\t}\n\n\tfunction releaseShaderCache( material ) {\n\n\t\t_customShaders.remove( material );\n\n\t}\n\n\tfunction dispose() {\n\n\t\t_customShaders.dispose();\n\n\t}\n\n\treturn {\n\t\tgetParameters: getParameters,\n\t\tgetProgramCacheKey: getProgramCacheKey,\n\t\tgetUniforms: getUniforms,\n\t\tacquireProgram: acquireProgram,\n\t\treleaseProgram: releaseProgram,\n\t\treleaseShaderCache: releaseShaderCache,\n\t\t// Exposed for resource monitoring & error feedback via renderer.info:\n\t\tprograms: programs,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction WebGLProperties() {\n\n\tlet properties = new WeakMap();\n\n\tfunction get( object ) {\n\n\t\tlet map = properties.get( object );\n\n\t\tif ( map === undefined ) {\n\n\t\t\tmap = {};\n\t\t\tproperties.set( object, map );\n\n\t\t}\n\n\t\treturn map;\n\n\t}\n\n\tfunction remove( object ) {\n\n\t\tproperties.delete( object );\n\n\t}\n\n\tfunction update( object, key, value ) {\n\n\t\tproperties.get( object )[ key ] = value;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tproperties = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tremove: remove,\n\t\tupdate: update,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction painterSortStable( a, b ) {\n\n\tif ( a.groupOrder !== b.groupOrder ) {\n\n\t\treturn a.groupOrder - b.groupOrder;\n\n\t} else if ( a.renderOrder !== b.renderOrder ) {\n\n\t\treturn a.renderOrder - b.renderOrder;\n\n\t} else if ( a.material.id !== b.material.id ) {\n\n\t\treturn a.material.id - b.material.id;\n\n\t} else if ( a.z !== b.z ) {\n\n\t\treturn a.z - b.z;\n\n\t} else {\n\n\t\treturn a.id - b.id;\n\n\t}\n\n}\n\nfunction reversePainterSortStable( a, b ) {\n\n\tif ( a.groupOrder !== b.groupOrder ) {\n\n\t\treturn a.groupOrder - b.groupOrder;\n\n\t} else if ( a.renderOrder !== b.renderOrder ) {\n\n\t\treturn a.renderOrder - b.renderOrder;\n\n\t} else if ( a.z !== b.z ) {\n\n\t\treturn b.z - a.z;\n\n\t} else {\n\n\t\treturn a.id - b.id;\n\n\t}\n\n}\n\n\nfunction WebGLRenderList() {\n\n\tconst renderItems = [];\n\tlet renderItemsIndex = 0;\n\n\tconst opaque = [];\n\tconst transmissive = [];\n\tconst transparent = [];\n\n\tfunction init() {\n\n\t\trenderItemsIndex = 0;\n\n\t\topaque.length = 0;\n\t\ttransmissive.length = 0;\n\t\ttransparent.length = 0;\n\n\t}\n\n\tfunction getNextRenderItem( object, geometry, material, groupOrder, z, group ) {\n\n\t\tlet renderItem = renderItems[ renderItemsIndex ];\n\n\t\tif ( renderItem === undefined ) {\n\n\t\t\trenderItem = {\n\t\t\t\tid: object.id,\n\t\t\t\tobject: object,\n\t\t\t\tgeometry: geometry,\n\t\t\t\tmaterial: material,\n\t\t\t\tgroupOrder: groupOrder,\n\t\t\t\trenderOrder: object.renderOrder,\n\t\t\t\tz: z,\n\t\t\t\tgroup: group\n\t\t\t};\n\n\t\t\trenderItems[ renderItemsIndex ] = renderItem;\n\n\t\t} else {\n\n\t\t\trenderItem.id = object.id;\n\t\t\trenderItem.object = object;\n\t\t\trenderItem.geometry = geometry;\n\t\t\trenderItem.material = material;\n\t\t\trenderItem.groupOrder = groupOrder;\n\t\t\trenderItem.renderOrder = object.renderOrder;\n\t\t\trenderItem.z = z;\n\t\t\trenderItem.group = group;\n\n\t\t}\n\n\t\trenderItemsIndex ++;\n\n\t\treturn renderItem;\n\n\t}\n\n\tfunction push( object, geometry, material, groupOrder, z, group ) {\n\n\t\tconst renderItem = getNextRenderItem( object, geometry, material, groupOrder, z, group );\n\n\t\tif ( material.transmission > 0.0 ) {\n\n\t\t\ttransmissive.push( renderItem );\n\n\t\t} else if ( material.transparent === true ) {\n\n\t\t\ttransparent.push( renderItem );\n\n\t\t} else {\n\n\t\t\topaque.push( renderItem );\n\n\t\t}\n\n\t}\n\n\tfunction unshift( object, geometry, material, groupOrder, z, group ) {\n\n\t\tconst renderItem = getNextRenderItem( object, geometry, material, groupOrder, z, group );\n\n\t\tif ( material.transmission > 0.0 ) {\n\n\t\t\ttransmissive.unshift( renderItem );\n\n\t\t} else if ( material.transparent === true ) {\n\n\t\t\ttransparent.unshift( renderItem );\n\n\t\t} else {\n\n\t\t\topaque.unshift( renderItem );\n\n\t\t}\n\n\t}\n\n\tfunction sort( customOpaqueSort, customTransparentSort ) {\n\n\t\tif ( opaque.length > 1 ) opaque.sort( customOpaqueSort || painterSortStable );\n\t\tif ( transmissive.length > 1 ) transmissive.sort( customTransparentSort || reversePainterSortStable );\n\t\tif ( transparent.length > 1 ) transparent.sort( customTransparentSort || reversePainterSortStable );\n\n\t}\n\n\tfunction finish() {\n\n\t\t// Clear references from inactive renderItems in the list\n\n\t\tfor ( let i = renderItemsIndex, il = renderItems.length; i < il; i ++ ) {\n\n\t\t\tconst renderItem = renderItems[ i ];\n\n\t\t\tif ( renderItem.id === null ) break;\n\n\t\t\trenderItem.id = null;\n\t\t\trenderItem.object = null;\n\t\t\trenderItem.geometry = null;\n\t\t\trenderItem.material = null;\n\t\t\trenderItem.group = null;\n\n\t\t}\n\n\t}\n\n\treturn {\n\n\t\topaque: opaque,\n\t\ttransmissive: transmissive,\n\t\ttransparent: transparent,\n\n\t\tinit: init,\n\t\tpush: push,\n\t\tunshift: unshift,\n\t\tfinish: finish,\n\n\t\tsort: sort\n\t};\n\n}\n\nfunction WebGLRenderLists() {\n\n\tlet lists = new WeakMap();\n\n\tfunction get( scene, renderCallDepth ) {\n\n\t\tconst listArray = lists.get( scene );\n\t\tlet list;\n\n\t\tif ( listArray === undefined ) {\n\n\t\t\tlist = new WebGLRenderList();\n\t\t\tlists.set( scene, [ list ] );\n\n\t\t} else {\n\n\t\t\tif ( renderCallDepth >= listArray.length ) {\n\n\t\t\t\tlist = new WebGLRenderList();\n\t\t\t\tlistArray.push( list );\n\n\t\t\t} else {\n\n\t\t\t\tlist = listArray[ renderCallDepth ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn list;\n\n\t}\n\n\tfunction dispose() {\n\n\t\tlists = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nfunction UniformsCache() {\n\n\tconst lights = {};\n\n\treturn {\n\n\t\tget: function ( light ) {\n\n\t\t\tif ( lights[ light.id ] !== undefined ) {\n\n\t\t\t\treturn lights[ light.id ];\n\n\t\t\t}\n\n\t\t\tlet uniforms;\n\n\t\t\tswitch ( light.type ) {\n\n\t\t\t\tcase 'DirectionalLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tcolor: new Color()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'SpotLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tdistance: 0,\n\t\t\t\t\t\tconeCos: 0,\n\t\t\t\t\t\tpenumbraCos: 0,\n\t\t\t\t\t\tdecay: 0\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'PointLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tdistance: 0,\n\t\t\t\t\t\tdecay: 0\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'HemisphereLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tdirection: new Vector3(),\n\t\t\t\t\t\tskyColor: new Color(),\n\t\t\t\t\t\tgroundColor: new Color()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'RectAreaLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tcolor: new Color(),\n\t\t\t\t\t\tposition: new Vector3(),\n\t\t\t\t\t\thalfWidth: new Vector3(),\n\t\t\t\t\t\thalfHeight: new Vector3()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tlights[ light.id ] = uniforms;\n\n\t\t\treturn uniforms;\n\n\t\t}\n\n\t};\n\n}\n\nfunction ShadowUniformsCache() {\n\n\tconst lights = {};\n\n\treturn {\n\n\t\tget: function ( light ) {\n\n\t\t\tif ( lights[ light.id ] !== undefined ) {\n\n\t\t\t\treturn lights[ light.id ];\n\n\t\t\t}\n\n\t\t\tlet uniforms;\n\n\t\t\tswitch ( light.type ) {\n\n\t\t\t\tcase 'DirectionalLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'SpotLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2()\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'PointLight':\n\t\t\t\t\tuniforms = {\n\t\t\t\t\t\tshadowBias: 0,\n\t\t\t\t\t\tshadowNormalBias: 0,\n\t\t\t\t\t\tshadowRadius: 1,\n\t\t\t\t\t\tshadowMapSize: new Vector2(),\n\t\t\t\t\t\tshadowCameraNear: 1,\n\t\t\t\t\t\tshadowCameraFar: 1000\n\t\t\t\t\t};\n\t\t\t\t\tbreak;\n\n\t\t\t\t// TODO (abelnation): set RectAreaLight shadow uniforms\n\n\t\t\t}\n\n\t\t\tlights[ light.id ] = uniforms;\n\n\t\t\treturn uniforms;\n\n\t\t}\n\n\t};\n\n}\n\n\n\nlet nextVersion = 0;\n\nfunction shadowCastingAndTexturingLightsFirst( lightA, lightB ) {\n\n\treturn ( lightB.castShadow ? 2 : 0 ) - ( lightA.castShadow ? 2 : 0 ) + ( lightB.map ? 1 : 0 ) - ( lightA.map ? 1 : 0 );\n\n}\n\nfunction WebGLLights( extensions, capabilities ) {\n\n\tconst cache = new UniformsCache();\n\n\tconst shadowCache = ShadowUniformsCache();\n\n\tconst state = {\n\n\t\tversion: 0,\n\n\t\thash: {\n\t\t\tdirectionalLength: - 1,\n\t\t\tpointLength: - 1,\n\t\t\tspotLength: - 1,\n\t\t\trectAreaLength: - 1,\n\t\t\themiLength: - 1,\n\n\t\t\tnumDirectionalShadows: - 1,\n\t\t\tnumPointShadows: - 1,\n\t\t\tnumSpotShadows: - 1,\n\t\t\tnumSpotMaps: - 1,\n\n\t\t\tnumLightProbes: - 1\n\t\t},\n\n\t\tambient: [ 0, 0, 0 ],\n\t\tprobe: [],\n\t\tdirectional: [],\n\t\tdirectionalShadow: [],\n\t\tdirectionalShadowMap: [],\n\t\tdirectionalShadowMatrix: [],\n\t\tspot: [],\n\t\tspotLightMap: [],\n\t\tspotShadow: [],\n\t\tspotShadowMap: [],\n\t\tspotLightMatrix: [],\n\t\trectArea: [],\n\t\trectAreaLTC1: null,\n\t\trectAreaLTC2: null,\n\t\tpoint: [],\n\t\tpointShadow: [],\n\t\tpointShadowMap: [],\n\t\tpointShadowMatrix: [],\n\t\themi: [],\n\t\tnumSpotLightShadowsWithMaps: 0,\n\t\tnumLightProbes: 0\n\n\t};\n\n\tfor ( let i = 0; i < 9; i ++ ) state.probe.push( new Vector3() );\n\n\tconst vector3 = new Vector3();\n\tconst matrix4 = new Matrix4();\n\tconst matrix42 = new Matrix4();\n\n\tfunction setup( lights, useLegacyLights ) {\n\n\t\tlet r = 0, g = 0, b = 0;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) state.probe[ i ].set( 0, 0, 0 );\n\n\t\tlet directionalLength = 0;\n\t\tlet pointLength = 0;\n\t\tlet spotLength = 0;\n\t\tlet rectAreaLength = 0;\n\t\tlet hemiLength = 0;\n\n\t\tlet numDirectionalShadows = 0;\n\t\tlet numPointShadows = 0;\n\t\tlet numSpotShadows = 0;\n\t\tlet numSpotMaps = 0;\n\t\tlet numSpotShadowsWithMaps = 0;\n\n\t\tlet numLightProbes = 0;\n\n\t\t// ordering : [shadow casting + map texturing, map texturing, shadow casting, none ]\n\t\tlights.sort( shadowCastingAndTexturingLightsFirst );\n\n\t\t// artist-friendly light intensity scaling factor\n\t\tconst scaleFactor = ( useLegacyLights === true ) ? Math.PI : 1;\n\n\t\tfor ( let i = 0, l = lights.length; i < l; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\n\t\t\tconst color = light.color;\n\t\t\tconst intensity = light.intensity;\n\t\t\tconst distance = light.distance;\n\n\t\t\tconst shadowMap = ( light.shadow && light.shadow.map ) ? light.shadow.map.texture : null;\n\n\t\t\tif ( light.isAmbientLight ) {\n\n\t\t\t\tr += color.r * intensity * scaleFactor;\n\t\t\t\tg += color.g * intensity * scaleFactor;\n\t\t\t\tb += color.b * intensity * scaleFactor;\n\n\t\t\t} else if ( light.isLightProbe ) {\n\n\t\t\t\tfor ( let j = 0; j < 9; j ++ ) {\n\n\t\t\t\t\tstate.probe[ j ].addScaledVector( light.sh.coefficients[ j ], intensity );\n\n\t\t\t\t}\n\n\t\t\t\tnumLightProbes ++;\n\n\t\t\t} else if ( light.isDirectionalLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( light.color ).multiplyScalar( light.intensity * scaleFactor );\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\n\t\t\t\t\tstate.directionalShadow[ directionalLength ] = shadowUniforms;\n\t\t\t\t\tstate.directionalShadowMap[ directionalLength ] = shadowMap;\n\t\t\t\t\tstate.directionalShadowMatrix[ directionalLength ] = light.shadow.matrix;\n\n\t\t\t\t\tnumDirectionalShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.directional[ directionalLength ] = uniforms;\n\n\t\t\t\tdirectionalLength ++;\n\n\t\t\t} else if ( light.isSpotLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\n\t\t\t\tuniforms.color.copy( color ).multiplyScalar( intensity * scaleFactor );\n\t\t\t\tuniforms.distance = distance;\n\n\t\t\t\tuniforms.coneCos = Math.cos( light.angle );\n\t\t\t\tuniforms.penumbraCos = Math.cos( light.angle * ( 1 - light.penumbra ) );\n\t\t\t\tuniforms.decay = light.decay;\n\n\t\t\t\tstate.spot[ spotLength ] = uniforms;\n\n\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\tif ( light.map ) {\n\n\t\t\t\t\tstate.spotLightMap[ numSpotMaps ] = light.map;\n\t\t\t\t\tnumSpotMaps ++;\n\n\t\t\t\t\t// make sure the lightMatrix is up to date\n\t\t\t\t\t// TODO : do it if required only\n\t\t\t\t\tshadow.updateMatrices( light );\n\n\t\t\t\t\tif ( light.castShadow ) numSpotShadowsWithMaps ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.spotLightMatrix[ spotLength ] = shadow.matrix;\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\n\t\t\t\t\tstate.spotShadow[ spotLength ] = shadowUniforms;\n\t\t\t\t\tstate.spotShadowMap[ spotLength ] = shadowMap;\n\n\t\t\t\t\tnumSpotShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tspotLength ++;\n\n\t\t\t} else if ( light.isRectAreaLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( color ).multiplyScalar( intensity );\n\n\t\t\t\tuniforms.halfWidth.set( light.width * 0.5, 0.0, 0.0 );\n\t\t\t\tuniforms.halfHeight.set( 0.0, light.height * 0.5, 0.0 );\n\n\t\t\t\tstate.rectArea[ rectAreaLength ] = uniforms;\n\n\t\t\t\trectAreaLength ++;\n\n\t\t\t} else if ( light.isPointLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.color.copy( light.color ).multiplyScalar( light.intensity * scaleFactor );\n\t\t\t\tuniforms.distance = light.distance;\n\t\t\t\tuniforms.decay = light.decay;\n\n\t\t\t\tif ( light.castShadow ) {\n\n\t\t\t\t\tconst shadow = light.shadow;\n\n\t\t\t\t\tconst shadowUniforms = shadowCache.get( light );\n\n\t\t\t\t\tshadowUniforms.shadowBias = shadow.bias;\n\t\t\t\t\tshadowUniforms.shadowNormalBias = shadow.normalBias;\n\t\t\t\t\tshadowUniforms.shadowRadius = shadow.radius;\n\t\t\t\t\tshadowUniforms.shadowMapSize = shadow.mapSize;\n\t\t\t\t\tshadowUniforms.shadowCameraNear = shadow.camera.near;\n\t\t\t\t\tshadowUniforms.shadowCameraFar = shadow.camera.far;\n\n\t\t\t\t\tstate.pointShadow[ pointLength ] = shadowUniforms;\n\t\t\t\t\tstate.pointShadowMap[ pointLength ] = shadowMap;\n\t\t\t\t\tstate.pointShadowMatrix[ pointLength ] = light.shadow.matrix;\n\n\t\t\t\t\tnumPointShadows ++;\n\n\t\t\t\t}\n\n\t\t\t\tstate.point[ pointLength ] = uniforms;\n\n\t\t\t\tpointLength ++;\n\n\t\t\t} else if ( light.isHemisphereLight ) {\n\n\t\t\t\tconst uniforms = cache.get( light );\n\n\t\t\t\tuniforms.skyColor.copy( light.color ).multiplyScalar( intensity * scaleFactor );\n\t\t\t\tuniforms.groundColor.copy( light.groundColor ).multiplyScalar( intensity * scaleFactor );\n\n\t\t\t\tstate.hemi[ hemiLength ] = uniforms;\n\n\t\t\t\themiLength ++;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( rectAreaLength > 0 ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\t// WebGL 2\n\n\t\t\t\tif ( extensions.has( 'OES_texture_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// WebGL 1\n\n\t\t\t\tif ( extensions.has( 'OES_texture_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\n\n\t\t\t\t} else if ( extensions.has( 'OES_texture_half_float_linear' ) === true ) {\n\n\t\t\t\t\tstate.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\n\t\t\t\t\tstate.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.ambient[ 0 ] = r;\n\t\tstate.ambient[ 1 ] = g;\n\t\tstate.ambient[ 2 ] = b;\n\n\t\tconst hash = state.hash;\n\n\t\tif ( hash.directionalLength !== directionalLength ||\n\t\t\thash.pointLength !== pointLength ||\n\t\t\thash.spotLength !== spotLength ||\n\t\t\thash.rectAreaLength !== rectAreaLength ||\n\t\t\thash.hemiLength !== hemiLength ||\n\t\t\thash.numDirectionalShadows !== numDirectionalShadows ||\n\t\t\thash.numPointShadows !== numPointShadows ||\n\t\t\thash.numSpotShadows !== numSpotShadows ||\n\t\t\thash.numSpotMaps !== numSpotMaps ||\n\t\t\thash.numLightProbes !== numLightProbes ) {\n\n\t\t\tstate.directional.length = directionalLength;\n\t\t\tstate.spot.length = spotLength;\n\t\t\tstate.rectArea.length = rectAreaLength;\n\t\t\tstate.point.length = pointLength;\n\t\t\tstate.hemi.length = hemiLength;\n\n\t\t\tstate.directionalShadow.length = numDirectionalShadows;\n\t\t\tstate.directionalShadowMap.length = numDirectionalShadows;\n\t\t\tstate.pointShadow.length = numPointShadows;\n\t\t\tstate.pointShadowMap.length = numPointShadows;\n\t\t\tstate.spotShadow.length = numSpotShadows;\n\t\t\tstate.spotShadowMap.length = numSpotShadows;\n\t\t\tstate.directionalShadowMatrix.length = numDirectionalShadows;\n\t\t\tstate.pointShadowMatrix.length = numPointShadows;\n\t\t\tstate.spotLightMatrix.length = numSpotShadows + numSpotMaps - numSpotShadowsWithMaps;\n\t\t\tstate.spotLightMap.length = numSpotMaps;\n\t\t\tstate.numSpotLightShadowsWithMaps = numSpotShadowsWithMaps;\n\t\t\tstate.numLightProbes = numLightProbes;\n\n\t\t\thash.directionalLength = directionalLength;\n\t\t\thash.pointLength = pointLength;\n\t\t\thash.spotLength = spotLength;\n\t\t\thash.rectAreaLength = rectAreaLength;\n\t\t\thash.hemiLength = hemiLength;\n\n\t\t\thash.numDirectionalShadows = numDirectionalShadows;\n\t\t\thash.numPointShadows = numPointShadows;\n\t\t\thash.numSpotShadows = numSpotShadows;\n\t\t\thash.numSpotMaps = numSpotMaps;\n\n\t\t\thash.numLightProbes = numLightProbes;\n\n\t\t\tstate.version = nextVersion ++;\n\n\t\t}\n\n\t}\n\n\tfunction setupView( lights, camera ) {\n\n\t\tlet directionalLength = 0;\n\t\tlet pointLength = 0;\n\t\tlet spotLength = 0;\n\t\tlet rectAreaLength = 0;\n\t\tlet hemiLength = 0;\n\n\t\tconst viewMatrix = camera.matrixWorldInverse;\n\n\t\tfor ( let i = 0, l = lights.length; i < l; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\n\t\t\tif ( light.isDirectionalLight ) {\n\n\t\t\t\tconst uniforms = state.directional[ directionalLength ];\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tvector3.setFromMatrixPosition( light.target.matrixWorld );\n\t\t\t\tuniforms.direction.sub( vector3 );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\tdirectionalLength ++;\n\n\t\t\t} else if ( light.isSpotLight ) {\n\n\t\t\t\tconst uniforms = state.spot[ spotLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tvector3.setFromMatrixPosition( light.target.matrixWorld );\n\t\t\t\tuniforms.direction.sub( vector3 );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\tspotLength ++;\n\n\t\t\t} else if ( light.isRectAreaLight ) {\n\n\t\t\t\tconst uniforms = state.rectArea[ rectAreaLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\t// extract local rotation of light to derive width/height half vectors\n\t\t\t\tmatrix42.identity();\n\t\t\t\tmatrix4.copy( light.matrixWorld );\n\t\t\t\tmatrix4.premultiply( viewMatrix );\n\t\t\t\tmatrix42.extractRotation( matrix4 );\n\n\t\t\t\tuniforms.halfWidth.set( light.width * 0.5, 0.0, 0.0 );\n\t\t\t\tuniforms.halfHeight.set( 0.0, light.height * 0.5, 0.0 );\n\n\t\t\t\tuniforms.halfWidth.applyMatrix4( matrix42 );\n\t\t\t\tuniforms.halfHeight.applyMatrix4( matrix42 );\n\n\t\t\t\trectAreaLength ++;\n\n\t\t\t} else if ( light.isPointLight ) {\n\n\t\t\t\tconst uniforms = state.point[ pointLength ];\n\n\t\t\t\tuniforms.position.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.position.applyMatrix4( viewMatrix );\n\n\t\t\t\tpointLength ++;\n\n\t\t\t} else if ( light.isHemisphereLight ) {\n\n\t\t\t\tconst uniforms = state.hemi[ hemiLength ];\n\n\t\t\t\tuniforms.direction.setFromMatrixPosition( light.matrixWorld );\n\t\t\t\tuniforms.direction.transformDirection( viewMatrix );\n\n\t\t\t\themiLength ++;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\treturn {\n\t\tsetup: setup,\n\t\tsetupView: setupView,\n\t\tstate: state\n\t};\n\n}\n\nfunction WebGLRenderState( extensions, capabilities ) {\n\n\tconst lights = new WebGLLights( extensions, capabilities );\n\n\tconst lightsArray = [];\n\tconst shadowsArray = [];\n\n\tfunction init() {\n\n\t\tlightsArray.length = 0;\n\t\tshadowsArray.length = 0;\n\n\t}\n\n\tfunction pushLight( light ) {\n\n\t\tlightsArray.push( light );\n\n\t}\n\n\tfunction pushShadow( shadowLight ) {\n\n\t\tshadowsArray.push( shadowLight );\n\n\t}\n\n\tfunction setupLights( useLegacyLights ) {\n\n\t\tlights.setup( lightsArray, useLegacyLights );\n\n\t}\n\n\tfunction setupLightsView( camera ) {\n\n\t\tlights.setupView( lightsArray, camera );\n\n\t}\n\n\tconst state = {\n\t\tlightsArray: lightsArray,\n\t\tshadowsArray: shadowsArray,\n\n\t\tlights: lights\n\t};\n\n\treturn {\n\t\tinit: init,\n\t\tstate: state,\n\t\tsetupLights: setupLights,\n\t\tsetupLightsView: setupLightsView,\n\n\t\tpushLight: pushLight,\n\t\tpushShadow: pushShadow\n\t};\n\n}\n\nfunction WebGLRenderStates( extensions, capabilities ) {\n\n\tlet renderStates = new WeakMap();\n\n\tfunction get( scene, renderCallDepth = 0 ) {\n\n\t\tconst renderStateArray = renderStates.get( scene );\n\t\tlet renderState;\n\n\t\tif ( renderStateArray === undefined ) {\n\n\t\t\trenderState = new WebGLRenderState( extensions, capabilities );\n\t\t\trenderStates.set( scene, [ renderState ] );\n\n\t\t} else {\n\n\t\t\tif ( renderCallDepth >= renderStateArray.length ) {\n\n\t\t\t\trenderState = new WebGLRenderState( extensions, capabilities );\n\t\t\t\trenderStateArray.push( renderState );\n\n\t\t\t} else {\n\n\t\t\t\trenderState = renderStateArray[ renderCallDepth ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn renderState;\n\n\t}\n\n\tfunction dispose() {\n\n\t\trenderStates = new WeakMap();\n\n\t}\n\n\treturn {\n\t\tget: get,\n\t\tdispose: dispose\n\t};\n\n}\n\nclass MeshDepthMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshDepthMaterial = true;\n\n\t\tthis.type = 'MeshDepthMaterial';\n\n\t\tthis.depthPacking = BasicDepthPacking;\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.depthPacking = source.depthPacking;\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshDistanceMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshDistanceMaterial = true;\n\n\t\tthis.type = 'MeshDistanceMaterial';\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst vertex = \"void main() {\\n\\tgl_Position = vec4( position, 1.0 );\\n}\";\n\nconst fragment = \"uniform sampler2D shadow_pass;\\nuniform vec2 resolution;\\nuniform float radius;\\n#include \\nvoid main() {\\n\\tconst float samples = float( VSM_SAMPLES );\\n\\tfloat mean = 0.0;\\n\\tfloat squared_mean = 0.0;\\n\\tfloat uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );\\n\\tfloat uvStart = samples <= 1.0 ? 0.0 : - 1.0;\\n\\tfor ( float i = 0.0; i < samples; i ++ ) {\\n\\t\\tfloat uvOffset = uvStart + i * uvStride;\\n\\t\\t#ifdef HORIZONTAL_PASS\\n\\t\\t\\tvec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );\\n\\t\\t\\tmean += distribution.x;\\n\\t\\t\\tsquared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\n\\t\\t#else\\n\\t\\t\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );\\n\\t\\t\\tmean += depth;\\n\\t\\t\\tsquared_mean += depth * depth;\\n\\t\\t#endif\\n\\t}\\n\\tmean = mean / samples;\\n\\tsquared_mean = squared_mean / samples;\\n\\tfloat std_dev = sqrt( squared_mean - mean * mean );\\n\\tgl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\n}\";\n\nfunction WebGLShadowMap( _renderer, _objects, _capabilities ) {\n\n\tlet _frustum = new Frustum();\n\n\tconst _shadowMapSize = new Vector2(),\n\t\t_viewportSize = new Vector2(),\n\n\t\t_viewport = new Vector4(),\n\n\t\t_depthMaterial = new MeshDepthMaterial( { depthPacking: RGBADepthPacking } ),\n\t\t_distanceMaterial = new MeshDistanceMaterial(),\n\n\t\t_materialCache = {},\n\n\t\t_maxTextureSize = _capabilities.maxTextureSize;\n\n\tconst shadowSide = { [ FrontSide ]: BackSide, [ BackSide ]: FrontSide, [ DoubleSide ]: DoubleSide };\n\n\tconst shadowMaterialVertical = new ShaderMaterial( {\n\t\tdefines: {\n\t\t\tVSM_SAMPLES: 8\n\t\t},\n\t\tuniforms: {\n\t\t\tshadow_pass: { value: null },\n\t\t\tresolution: { value: new Vector2() },\n\t\t\tradius: { value: 4.0 }\n\t\t},\n\n\t\tvertexShader: vertex,\n\t\tfragmentShader: fragment\n\n\t} );\n\n\tconst shadowMaterialHorizontal = shadowMaterialVertical.clone();\n\tshadowMaterialHorizontal.defines.HORIZONTAL_PASS = 1;\n\n\tconst fullScreenTri = new BufferGeometry();\n\tfullScreenTri.setAttribute(\n\t\t'position',\n\t\tnew BufferAttribute(\n\t\t\tnew Float32Array( [ - 1, - 1, 0.5, 3, - 1, 0.5, - 1, 3, 0.5 ] ),\n\t\t\t3\n\t\t)\n\t);\n\n\tconst fullScreenMesh = new Mesh( fullScreenTri, shadowMaterialVertical );\n\n\tconst scope = this;\n\n\tthis.enabled = false;\n\n\tthis.autoUpdate = true;\n\tthis.needsUpdate = false;\n\n\tthis.type = PCFShadowMap;\n\tlet _previousType = this.type;\n\n\tthis.render = function ( lights, scene, camera ) {\n\n\t\tif ( scope.enabled === false ) return;\n\t\tif ( scope.autoUpdate === false && scope.needsUpdate === false ) return;\n\n\t\tif ( lights.length === 0 ) return;\n\n\t\tconst currentRenderTarget = _renderer.getRenderTarget();\n\t\tconst activeCubeFace = _renderer.getActiveCubeFace();\n\t\tconst activeMipmapLevel = _renderer.getActiveMipmapLevel();\n\n\t\tconst _state = _renderer.state;\n\n\t\t// Set GL state for depth map.\n\t\t_state.setBlending( NoBlending );\n\t\t_state.buffers.color.setClear( 1, 1, 1, 1 );\n\t\t_state.buffers.depth.setTest( true );\n\t\t_state.setScissorTest( false );\n\n\t\t// check for shadow map type changes\n\n\t\tconst toVSM = ( _previousType !== VSMShadowMap && this.type === VSMShadowMap );\n\t\tconst fromVSM = ( _previousType === VSMShadowMap && this.type !== VSMShadowMap );\n\n\t\t// render depth map\n\n\t\tfor ( let i = 0, il = lights.length; i < il; i ++ ) {\n\n\t\t\tconst light = lights[ i ];\n\t\t\tconst shadow = light.shadow;\n\n\t\t\tif ( shadow === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLShadowMap:', light, 'has no shadow.' );\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( shadow.autoUpdate === false && shadow.needsUpdate === false ) continue;\n\n\t\t\t_shadowMapSize.copy( shadow.mapSize );\n\n\t\t\tconst shadowFrameExtents = shadow.getFrameExtents();\n\n\t\t\t_shadowMapSize.multiply( shadowFrameExtents );\n\n\t\t\t_viewportSize.copy( shadow.mapSize );\n\n\t\t\tif ( _shadowMapSize.x > _maxTextureSize || _shadowMapSize.y > _maxTextureSize ) {\n\n\t\t\t\tif ( _shadowMapSize.x > _maxTextureSize ) {\n\n\t\t\t\t\t_viewportSize.x = Math.floor( _maxTextureSize / shadowFrameExtents.x );\n\t\t\t\t\t_shadowMapSize.x = _viewportSize.x * shadowFrameExtents.x;\n\t\t\t\t\tshadow.mapSize.x = _viewportSize.x;\n\n\t\t\t\t}\n\n\t\t\t\tif ( _shadowMapSize.y > _maxTextureSize ) {\n\n\t\t\t\t\t_viewportSize.y = Math.floor( _maxTextureSize / shadowFrameExtents.y );\n\t\t\t\t\t_shadowMapSize.y = _viewportSize.y * shadowFrameExtents.y;\n\t\t\t\t\tshadow.mapSize.y = _viewportSize.y;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( shadow.map === null || toVSM === true || fromVSM === true ) {\n\n\t\t\t\tconst pars = ( this.type !== VSMShadowMap ) ? { minFilter: NearestFilter, magFilter: NearestFilter } : {};\n\n\t\t\t\tif ( shadow.map !== null ) {\n\n\t\t\t\t\tshadow.map.dispose();\n\n\t\t\t\t}\n\n\t\t\t\tshadow.map = new WebGLRenderTarget( _shadowMapSize.x, _shadowMapSize.y, pars );\n\t\t\t\tshadow.map.texture.name = light.name + '.shadowMap';\n\n\t\t\t\tshadow.camera.updateProjectionMatrix();\n\n\t\t\t}\n\n\t\t\t_renderer.setRenderTarget( shadow.map );\n\t\t\t_renderer.clear();\n\n\t\t\tconst viewportCount = shadow.getViewportCount();\n\n\t\t\tfor ( let vp = 0; vp < viewportCount; vp ++ ) {\n\n\t\t\t\tconst viewport = shadow.getViewport( vp );\n\n\t\t\t\t_viewport.set(\n\t\t\t\t\t_viewportSize.x * viewport.x,\n\t\t\t\t\t_viewportSize.y * viewport.y,\n\t\t\t\t\t_viewportSize.x * viewport.z,\n\t\t\t\t\t_viewportSize.y * viewport.w\n\t\t\t\t);\n\n\t\t\t\t_state.viewport( _viewport );\n\n\t\t\t\tshadow.updateMatrices( light, vp );\n\n\t\t\t\t_frustum = shadow.getFrustum();\n\n\t\t\t\trenderObject( scene, camera, shadow.camera, light, this.type );\n\n\t\t\t}\n\n\t\t\t// do blur pass for VSM\n\n\t\t\tif ( shadow.isPointLightShadow !== true && this.type === VSMShadowMap ) {\n\n\t\t\t\tVSMPass( shadow, camera );\n\n\t\t\t}\n\n\t\t\tshadow.needsUpdate = false;\n\n\t\t}\n\n\t\t_previousType = this.type;\n\n\t\tscope.needsUpdate = false;\n\n\t\t_renderer.setRenderTarget( currentRenderTarget, activeCubeFace, activeMipmapLevel );\n\n\t};\n\n\tfunction VSMPass( shadow, camera ) {\n\n\t\tconst geometry = _objects.update( fullScreenMesh );\n\n\t\tif ( shadowMaterialVertical.defines.VSM_SAMPLES !== shadow.blurSamples ) {\n\n\t\t\tshadowMaterialVertical.defines.VSM_SAMPLES = shadow.blurSamples;\n\t\t\tshadowMaterialHorizontal.defines.VSM_SAMPLES = shadow.blurSamples;\n\n\t\t\tshadowMaterialVertical.needsUpdate = true;\n\t\t\tshadowMaterialHorizontal.needsUpdate = true;\n\n\t\t}\n\n\t\tif ( shadow.mapPass === null ) {\n\n\t\t\tshadow.mapPass = new WebGLRenderTarget( _shadowMapSize.x, _shadowMapSize.y );\n\n\t\t}\n\n\t\t// vertical pass\n\n\t\tshadowMaterialVertical.uniforms.shadow_pass.value = shadow.map.texture;\n\t\tshadowMaterialVertical.uniforms.resolution.value = shadow.mapSize;\n\t\tshadowMaterialVertical.uniforms.radius.value = shadow.radius;\n\t\t_renderer.setRenderTarget( shadow.mapPass );\n\t\t_renderer.clear();\n\t\t_renderer.renderBufferDirect( camera, null, geometry, shadowMaterialVertical, fullScreenMesh, null );\n\n\t\t// horizontal pass\n\n\t\tshadowMaterialHorizontal.uniforms.shadow_pass.value = shadow.mapPass.texture;\n\t\tshadowMaterialHorizontal.uniforms.resolution.value = shadow.mapSize;\n\t\tshadowMaterialHorizontal.uniforms.radius.value = shadow.radius;\n\t\t_renderer.setRenderTarget( shadow.map );\n\t\t_renderer.clear();\n\t\t_renderer.renderBufferDirect( camera, null, geometry, shadowMaterialHorizontal, fullScreenMesh, null );\n\n\t}\n\n\tfunction getDepthMaterial( object, material, light, type ) {\n\n\t\tlet result = null;\n\n\t\tconst customMaterial = ( light.isPointLight === true ) ? object.customDistanceMaterial : object.customDepthMaterial;\n\n\t\tif ( customMaterial !== undefined ) {\n\n\t\t\tresult = customMaterial;\n\n\t\t} else {\n\n\t\t\tresult = ( light.isPointLight === true ) ? _distanceMaterial : _depthMaterial;\n\n\t\t\tif ( ( _renderer.localClippingEnabled && material.clipShadows === true && Array.isArray( material.clippingPlanes ) && material.clippingPlanes.length !== 0 ) ||\n\t\t\t\t( material.displacementMap && material.displacementScale !== 0 ) ||\n\t\t\t\t( material.alphaMap && material.alphaTest > 0 ) ||\n\t\t\t\t( material.map && material.alphaTest > 0 ) ) {\n\n\t\t\t\t// in this case we need a unique material instance reflecting the\n\t\t\t\t// appropriate state\n\n\t\t\t\tconst keyA = result.uuid, keyB = material.uuid;\n\n\t\t\t\tlet materialsForVariant = _materialCache[ keyA ];\n\n\t\t\t\tif ( materialsForVariant === undefined ) {\n\n\t\t\t\t\tmaterialsForVariant = {};\n\t\t\t\t\t_materialCache[ keyA ] = materialsForVariant;\n\n\t\t\t\t}\n\n\t\t\t\tlet cachedMaterial = materialsForVariant[ keyB ];\n\n\t\t\t\tif ( cachedMaterial === undefined ) {\n\n\t\t\t\t\tcachedMaterial = result.clone();\n\t\t\t\t\tmaterialsForVariant[ keyB ] = cachedMaterial;\n\t\t\t\t\tmaterial.addEventListener( 'dispose', onMaterialDispose );\n\n\t\t\t\t}\n\n\t\t\t\tresult = cachedMaterial;\n\n\t\t\t}\n\n\t\t}\n\n\t\tresult.visible = material.visible;\n\t\tresult.wireframe = material.wireframe;\n\n\t\tif ( type === VSMShadowMap ) {\n\n\t\t\tresult.side = ( material.shadowSide !== null ) ? material.shadowSide : material.side;\n\n\t\t} else {\n\n\t\t\tresult.side = ( material.shadowSide !== null ) ? material.shadowSide : shadowSide[ material.side ];\n\n\t\t}\n\n\t\tresult.alphaMap = material.alphaMap;\n\t\tresult.alphaTest = material.alphaTest;\n\t\tresult.map = material.map;\n\n\t\tresult.clipShadows = material.clipShadows;\n\t\tresult.clippingPlanes = material.clippingPlanes;\n\t\tresult.clipIntersection = material.clipIntersection;\n\n\t\tresult.displacementMap = material.displacementMap;\n\t\tresult.displacementScale = material.displacementScale;\n\t\tresult.displacementBias = material.displacementBias;\n\n\t\tresult.wireframeLinewidth = material.wireframeLinewidth;\n\t\tresult.linewidth = material.linewidth;\n\n\t\tif ( light.isPointLight === true && result.isMeshDistanceMaterial === true ) {\n\n\t\t\tconst materialProperties = _renderer.properties.get( result );\n\t\t\tmaterialProperties.light = light;\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\tfunction renderObject( object, camera, shadowCamera, light, type ) {\n\n\t\tif ( object.visible === false ) return;\n\n\t\tconst visible = object.layers.test( camera.layers );\n\n\t\tif ( visible && ( object.isMesh || object.isLine || object.isPoints ) ) {\n\n\t\t\tif ( ( object.castShadow || ( object.receiveShadow && type === VSMShadowMap ) ) && ( ! object.frustumCulled || _frustum.intersectsObject( object ) ) ) {\n\n\t\t\t\tobject.modelViewMatrix.multiplyMatrices( shadowCamera.matrixWorldInverse, object.matrixWorld );\n\n\t\t\t\tconst geometry = _objects.update( object );\n\t\t\t\tconst material = object.material;\n\n\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\tconst groups = geometry.groups;\n\n\t\t\t\t\tfor ( let k = 0, kl = groups.length; k < kl; k ++ ) {\n\n\t\t\t\t\t\tconst group = groups[ k ];\n\t\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\t\tif ( groupMaterial && groupMaterial.visible ) {\n\n\t\t\t\t\t\t\tconst depthMaterial = getDepthMaterial( object, groupMaterial, light, type );\n\n\t\t\t\t\t\t\tobject.onBeforeShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, group );\n\n\t\t\t\t\t\t\t_renderer.renderBufferDirect( shadowCamera, null, geometry, depthMaterial, object, group );\n\n\t\t\t\t\t\t\tobject.onAfterShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, group );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( material.visible ) {\n\n\t\t\t\t\tconst depthMaterial = getDepthMaterial( object, material, light, type );\n\n\t\t\t\t\tobject.onBeforeShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, null );\n\n\t\t\t\t\t_renderer.renderBufferDirect( shadowCamera, null, geometry, depthMaterial, object, null );\n\n\t\t\t\t\tobject.onAfterShadow( _renderer, object, camera, shadowCamera, geometry, depthMaterial, null );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\trenderObject( children[ i ], camera, shadowCamera, light, type );\n\n\t\t}\n\n\t}\n\n\tfunction onMaterialDispose( event ) {\n\n\t\tconst material = event.target;\n\n\t\tmaterial.removeEventListener( 'dispose', onMaterialDispose );\n\n\t\t// make sure to remove the unique distance/depth materials used for shadow map rendering\n\n\t\tfor ( const id in _materialCache ) {\n\n\t\t\tconst cache = _materialCache[ id ];\n\n\t\t\tconst uuid = event.target.uuid;\n\n\t\t\tif ( uuid in cache ) {\n\n\t\t\t\tconst shadowMaterial = cache[ uuid ];\n\t\t\t\tshadowMaterial.dispose();\n\t\t\t\tdelete cache[ uuid ];\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction WebGLState( gl, extensions, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tfunction ColorBuffer() {\n\n\t\tlet locked = false;\n\n\t\tconst color = new Vector4();\n\t\tlet currentColorMask = null;\n\t\tconst currentColorClear = new Vector4( 0, 0, 0, 0 );\n\n\t\treturn {\n\n\t\t\tsetMask: function ( colorMask ) {\n\n\t\t\t\tif ( currentColorMask !== colorMask && ! locked ) {\n\n\t\t\t\t\tgl.colorMask( colorMask, colorMask, colorMask, colorMask );\n\t\t\t\t\tcurrentColorMask = colorMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( r, g, b, a, premultipliedAlpha ) {\n\n\t\t\t\tif ( premultipliedAlpha === true ) {\n\n\t\t\t\t\tr *= a; g *= a; b *= a;\n\n\t\t\t\t}\n\n\t\t\t\tcolor.set( r, g, b, a );\n\n\t\t\t\tif ( currentColorClear.equals( color ) === false ) {\n\n\t\t\t\t\tgl.clearColor( r, g, b, a );\n\t\t\t\t\tcurrentColorClear.copy( color );\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentColorMask = null;\n\t\t\t\tcurrentColorClear.set( - 1, 0, 0, 0 ); // set to invalid state\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tfunction DepthBuffer() {\n\n\t\tlet locked = false;\n\n\t\tlet currentDepthMask = null;\n\t\tlet currentDepthFunc = null;\n\t\tlet currentDepthClear = null;\n\n\t\treturn {\n\n\t\t\tsetTest: function ( depthTest ) {\n\n\t\t\t\tif ( depthTest ) {\n\n\t\t\t\t\tenable( gl.DEPTH_TEST );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tdisable( gl.DEPTH_TEST );\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetMask: function ( depthMask ) {\n\n\t\t\t\tif ( currentDepthMask !== depthMask && ! locked ) {\n\n\t\t\t\t\tgl.depthMask( depthMask );\n\t\t\t\t\tcurrentDepthMask = depthMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetFunc: function ( depthFunc ) {\n\n\t\t\t\tif ( currentDepthFunc !== depthFunc ) {\n\n\t\t\t\t\tswitch ( depthFunc ) {\n\n\t\t\t\t\t\tcase NeverDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.NEVER );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AlwaysDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.ALWAYS );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase LessDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LESS );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase LessEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase EqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.EQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase GreaterEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.GEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase GreaterDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.GREATER );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase NotEqualDepth:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.NOTEQUAL );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tgl.depthFunc( gl.LEQUAL );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcurrentDepthFunc = depthFunc;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( depth ) {\n\n\t\t\t\tif ( currentDepthClear !== depth ) {\n\n\t\t\t\t\tgl.clearDepth( depth );\n\t\t\t\t\tcurrentDepthClear = depth;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentDepthMask = null;\n\t\t\t\tcurrentDepthFunc = null;\n\t\t\t\tcurrentDepthClear = null;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tfunction StencilBuffer() {\n\n\t\tlet locked = false;\n\n\t\tlet currentStencilMask = null;\n\t\tlet currentStencilFunc = null;\n\t\tlet currentStencilRef = null;\n\t\tlet currentStencilFuncMask = null;\n\t\tlet currentStencilFail = null;\n\t\tlet currentStencilZFail = null;\n\t\tlet currentStencilZPass = null;\n\t\tlet currentStencilClear = null;\n\n\t\treturn {\n\n\t\t\tsetTest: function ( stencilTest ) {\n\n\t\t\t\tif ( ! locked ) {\n\n\t\t\t\t\tif ( stencilTest ) {\n\n\t\t\t\t\t\tenable( gl.STENCIL_TEST );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tdisable( gl.STENCIL_TEST );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetMask: function ( stencilMask ) {\n\n\t\t\t\tif ( currentStencilMask !== stencilMask && ! locked ) {\n\n\t\t\t\t\tgl.stencilMask( stencilMask );\n\t\t\t\t\tcurrentStencilMask = stencilMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetFunc: function ( stencilFunc, stencilRef, stencilMask ) {\n\n\t\t\t\tif ( currentStencilFunc !== stencilFunc ||\n\t\t\t\t currentStencilRef !== stencilRef ||\n\t\t\t\t currentStencilFuncMask !== stencilMask ) {\n\n\t\t\t\t\tgl.stencilFunc( stencilFunc, stencilRef, stencilMask );\n\n\t\t\t\t\tcurrentStencilFunc = stencilFunc;\n\t\t\t\t\tcurrentStencilRef = stencilRef;\n\t\t\t\t\tcurrentStencilFuncMask = stencilMask;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetOp: function ( stencilFail, stencilZFail, stencilZPass ) {\n\n\t\t\t\tif ( currentStencilFail !== stencilFail ||\n\t\t\t\t currentStencilZFail !== stencilZFail ||\n\t\t\t\t currentStencilZPass !== stencilZPass ) {\n\n\t\t\t\t\tgl.stencilOp( stencilFail, stencilZFail, stencilZPass );\n\n\t\t\t\t\tcurrentStencilFail = stencilFail;\n\t\t\t\t\tcurrentStencilZFail = stencilZFail;\n\t\t\t\t\tcurrentStencilZPass = stencilZPass;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\tsetLocked: function ( lock ) {\n\n\t\t\t\tlocked = lock;\n\n\t\t\t},\n\n\t\t\tsetClear: function ( stencil ) {\n\n\t\t\t\tif ( currentStencilClear !== stencil ) {\n\n\t\t\t\t\tgl.clearStencil( stencil );\n\t\t\t\t\tcurrentStencilClear = stencil;\n\n\t\t\t\t}\n\n\t\t\t},\n\n\t\t\treset: function () {\n\n\t\t\t\tlocked = false;\n\n\t\t\t\tcurrentStencilMask = null;\n\t\t\t\tcurrentStencilFunc = null;\n\t\t\t\tcurrentStencilRef = null;\n\t\t\t\tcurrentStencilFuncMask = null;\n\t\t\t\tcurrentStencilFail = null;\n\t\t\t\tcurrentStencilZFail = null;\n\t\t\t\tcurrentStencilZPass = null;\n\t\t\t\tcurrentStencilClear = null;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\t//\n\n\tconst colorBuffer = new ColorBuffer();\n\tconst depthBuffer = new DepthBuffer();\n\tconst stencilBuffer = new StencilBuffer();\n\n\tconst uboBindings = new WeakMap();\n\tconst uboProgramMap = new WeakMap();\n\n\tlet enabledCapabilities = {};\n\n\tlet currentBoundFramebuffers = {};\n\tlet currentDrawbuffers = new WeakMap();\n\tlet defaultDrawbuffers = [];\n\n\tlet currentProgram = null;\n\n\tlet currentBlendingEnabled = false;\n\tlet currentBlending = null;\n\tlet currentBlendEquation = null;\n\tlet currentBlendSrc = null;\n\tlet currentBlendDst = null;\n\tlet currentBlendEquationAlpha = null;\n\tlet currentBlendSrcAlpha = null;\n\tlet currentBlendDstAlpha = null;\n\tlet currentBlendColor = new Color( 0, 0, 0 );\n\tlet currentBlendAlpha = 0;\n\tlet currentPremultipledAlpha = false;\n\n\tlet currentFlipSided = null;\n\tlet currentCullFace = null;\n\n\tlet currentLineWidth = null;\n\n\tlet currentPolygonOffsetFactor = null;\n\tlet currentPolygonOffsetUnits = null;\n\n\tconst maxTextures = gl.getParameter( gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS );\n\n\tlet lineWidthAvailable = false;\n\tlet version = 0;\n\tconst glVersion = gl.getParameter( gl.VERSION );\n\n\tif ( glVersion.indexOf( 'WebGL' ) !== - 1 ) {\n\n\t\tversion = parseFloat( /^WebGL (\\d)/.exec( glVersion )[ 1 ] );\n\t\tlineWidthAvailable = ( version >= 1.0 );\n\n\t} else if ( glVersion.indexOf( 'OpenGL ES' ) !== - 1 ) {\n\n\t\tversion = parseFloat( /^OpenGL ES (\\d)/.exec( glVersion )[ 1 ] );\n\t\tlineWidthAvailable = ( version >= 2.0 );\n\n\t}\n\n\tlet currentTextureSlot = null;\n\tlet currentBoundTextures = {};\n\n\tconst scissorParam = gl.getParameter( gl.SCISSOR_BOX );\n\tconst viewportParam = gl.getParameter( gl.VIEWPORT );\n\n\tconst currentScissor = new Vector4().fromArray( scissorParam );\n\tconst currentViewport = new Vector4().fromArray( viewportParam );\n\n\tfunction createTexture( type, target, count, dimensions ) {\n\n\t\tconst data = new Uint8Array( 4 ); // 4 is required to match default unpack alignment of 4.\n\t\tconst texture = gl.createTexture();\n\n\t\tgl.bindTexture( type, texture );\n\t\tgl.texParameteri( type, gl.TEXTURE_MIN_FILTER, gl.NEAREST );\n\t\tgl.texParameteri( type, gl.TEXTURE_MAG_FILTER, gl.NEAREST );\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tif ( isWebGL2 && ( type === gl.TEXTURE_3D || type === gl.TEXTURE_2D_ARRAY ) ) {\n\n\t\t\t\tgl.texImage3D( target, 0, gl.RGBA, 1, 1, dimensions, 0, gl.RGBA, gl.UNSIGNED_BYTE, data );\n\n\t\t\t} else {\n\n\t\t\t\tgl.texImage2D( target + i, 0, gl.RGBA, 1, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE, data );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n\tconst emptyTextures = {};\n\temptyTextures[ gl.TEXTURE_2D ] = createTexture( gl.TEXTURE_2D, gl.TEXTURE_2D, 1 );\n\temptyTextures[ gl.TEXTURE_CUBE_MAP ] = createTexture( gl.TEXTURE_CUBE_MAP, gl.TEXTURE_CUBE_MAP_POSITIVE_X, 6 );\n\n\tif ( isWebGL2 ) {\n\n\t\temptyTextures[ gl.TEXTURE_2D_ARRAY ] = createTexture( gl.TEXTURE_2D_ARRAY, gl.TEXTURE_2D_ARRAY, 1, 1 );\n\t\temptyTextures[ gl.TEXTURE_3D ] = createTexture( gl.TEXTURE_3D, gl.TEXTURE_3D, 1, 1 );\n\n\t}\n\n\t// init\n\n\tcolorBuffer.setClear( 0, 0, 0, 1 );\n\tdepthBuffer.setClear( 1 );\n\tstencilBuffer.setClear( 0 );\n\n\tenable( gl.DEPTH_TEST );\n\tdepthBuffer.setFunc( LessEqualDepth );\n\n\tsetFlipSided( false );\n\tsetCullFace( CullFaceBack );\n\tenable( gl.CULL_FACE );\n\n\tsetBlending( NoBlending );\n\n\t//\n\n\tfunction enable( id ) {\n\n\t\tif ( enabledCapabilities[ id ] !== true ) {\n\n\t\t\tgl.enable( id );\n\t\t\tenabledCapabilities[ id ] = true;\n\n\t\t}\n\n\t}\n\n\tfunction disable( id ) {\n\n\t\tif ( enabledCapabilities[ id ] !== false ) {\n\n\t\t\tgl.disable( id );\n\t\t\tenabledCapabilities[ id ] = false;\n\n\t\t}\n\n\t}\n\n\tfunction bindFramebuffer( target, framebuffer ) {\n\n\t\tif ( currentBoundFramebuffers[ target ] !== framebuffer ) {\n\n\t\t\tgl.bindFramebuffer( target, framebuffer );\n\n\t\t\tcurrentBoundFramebuffers[ target ] = framebuffer;\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t// gl.DRAW_FRAMEBUFFER is equivalent to gl.FRAMEBUFFER\n\n\t\t\t\tif ( target === gl.DRAW_FRAMEBUFFER ) {\n\n\t\t\t\t\tcurrentBoundFramebuffers[ gl.FRAMEBUFFER ] = framebuffer;\n\n\t\t\t\t}\n\n\t\t\t\tif ( target === gl.FRAMEBUFFER ) {\n\n\t\t\t\t\tcurrentBoundFramebuffers[ gl.DRAW_FRAMEBUFFER ] = framebuffer;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tfunction drawBuffers( renderTarget, framebuffer ) {\n\n\t\tlet drawBuffers = defaultDrawbuffers;\n\n\t\tlet needsUpdate = false;\n\n\t\tif ( renderTarget ) {\n\n\t\t\tdrawBuffers = currentDrawbuffers.get( framebuffer );\n\n\t\t\tif ( drawBuffers === undefined ) {\n\n\t\t\t\tdrawBuffers = [];\n\t\t\t\tcurrentDrawbuffers.set( framebuffer, drawBuffers );\n\n\t\t\t}\n\n\t\t\tif ( renderTarget.isWebGLMultipleRenderTargets ) {\n\n\t\t\t\tconst textures = renderTarget.texture;\n\n\t\t\t\tif ( drawBuffers.length !== textures.length || drawBuffers[ 0 ] !== gl.COLOR_ATTACHMENT0 ) {\n\n\t\t\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tdrawBuffers[ i ] = gl.COLOR_ATTACHMENT0 + i;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tdrawBuffers.length = textures.length;\n\n\t\t\t\t\tneedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( drawBuffers[ 0 ] !== gl.COLOR_ATTACHMENT0 ) {\n\n\t\t\t\t\tdrawBuffers[ 0 ] = gl.COLOR_ATTACHMENT0;\n\n\t\t\t\t\tneedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( drawBuffers[ 0 ] !== gl.BACK ) {\n\n\t\t\t\tdrawBuffers[ 0 ] = gl.BACK;\n\n\t\t\t\tneedsUpdate = true;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( needsUpdate ) {\n\n\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\tgl.drawBuffers( drawBuffers );\n\n\t\t\t} else {\n\n\t\t\t\textensions.get( 'WEBGL_draw_buffers' ).drawBuffersWEBGL( drawBuffers );\n\n\t\t\t}\n\n\t\t}\n\n\n\t}\n\n\tfunction useProgram( program ) {\n\n\t\tif ( currentProgram !== program ) {\n\n\t\t\tgl.useProgram( program );\n\n\t\t\tcurrentProgram = program;\n\n\t\t\treturn true;\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tconst equationToGL = {\n\t\t[ AddEquation ]: gl.FUNC_ADD,\n\t\t[ SubtractEquation ]: gl.FUNC_SUBTRACT,\n\t\t[ ReverseSubtractEquation ]: gl.FUNC_REVERSE_SUBTRACT\n\t};\n\n\tif ( isWebGL2 ) {\n\n\t\tequationToGL[ MinEquation ] = gl.MIN;\n\t\tequationToGL[ MaxEquation ] = gl.MAX;\n\n\t} else {\n\n\t\tconst extension = extensions.get( 'EXT_blend_minmax' );\n\n\t\tif ( extension !== null ) {\n\n\t\t\tequationToGL[ MinEquation ] = extension.MIN_EXT;\n\t\t\tequationToGL[ MaxEquation ] = extension.MAX_EXT;\n\n\t\t}\n\n\t}\n\n\tconst factorToGL = {\n\t\t[ ZeroFactor ]: gl.ZERO,\n\t\t[ OneFactor ]: gl.ONE,\n\t\t[ SrcColorFactor ]: gl.SRC_COLOR,\n\t\t[ SrcAlphaFactor ]: gl.SRC_ALPHA,\n\t\t[ SrcAlphaSaturateFactor ]: gl.SRC_ALPHA_SATURATE,\n\t\t[ DstColorFactor ]: gl.DST_COLOR,\n\t\t[ DstAlphaFactor ]: gl.DST_ALPHA,\n\t\t[ OneMinusSrcColorFactor ]: gl.ONE_MINUS_SRC_COLOR,\n\t\t[ OneMinusSrcAlphaFactor ]: gl.ONE_MINUS_SRC_ALPHA,\n\t\t[ OneMinusDstColorFactor ]: gl.ONE_MINUS_DST_COLOR,\n\t\t[ OneMinusDstAlphaFactor ]: gl.ONE_MINUS_DST_ALPHA,\n\t\t[ ConstantColorFactor ]: gl.CONSTANT_COLOR,\n\t\t[ OneMinusConstantColorFactor ]: gl.ONE_MINUS_CONSTANT_COLOR,\n\t\t[ ConstantAlphaFactor ]: gl.CONSTANT_ALPHA,\n\t\t[ OneMinusConstantAlphaFactor ]: gl.ONE_MINUS_CONSTANT_ALPHA\n\t};\n\n\tfunction setBlending( blending, blendEquation, blendSrc, blendDst, blendEquationAlpha, blendSrcAlpha, blendDstAlpha, blendColor, blendAlpha, premultipliedAlpha ) {\n\n\t\tif ( blending === NoBlending ) {\n\n\t\t\tif ( currentBlendingEnabled === true ) {\n\n\t\t\t\tdisable( gl.BLEND );\n\t\t\t\tcurrentBlendingEnabled = false;\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( currentBlendingEnabled === false ) {\n\n\t\t\tenable( gl.BLEND );\n\t\t\tcurrentBlendingEnabled = true;\n\n\t\t}\n\n\t\tif ( blending !== CustomBlending ) {\n\n\t\t\tif ( blending !== currentBlending || premultipliedAlpha !== currentPremultipledAlpha ) {\n\n\t\t\t\tif ( currentBlendEquation !== AddEquation || currentBlendEquationAlpha !== AddEquation ) {\n\n\t\t\t\t\tgl.blendEquation( gl.FUNC_ADD );\n\n\t\t\t\t\tcurrentBlendEquation = AddEquation;\n\t\t\t\t\tcurrentBlendEquationAlpha = AddEquation;\n\n\t\t\t\t}\n\n\t\t\t\tif ( premultipliedAlpha ) {\n\n\t\t\t\t\tswitch ( blending ) {\n\n\t\t\t\t\t\tcase NormalBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ONE, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AdditiveBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.ONE, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase SubtractiveBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ZERO, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase MultiplyBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.SRC_COLOR, gl.ZERO, gl.SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tconsole.error( 'THREE.WebGLState: Invalid blending: ', blending );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tswitch ( blending ) {\n\n\t\t\t\t\t\tcase NormalBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.SRC_ALPHA, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase AdditiveBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.SRC_ALPHA, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase SubtractiveBlending:\n\t\t\t\t\t\t\tgl.blendFuncSeparate( gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ZERO, gl.ONE );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase MultiplyBlending:\n\t\t\t\t\t\t\tgl.blendFunc( gl.ZERO, gl.SRC_COLOR );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tconsole.error( 'THREE.WebGLState: Invalid blending: ', blending );\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tcurrentBlendSrc = null;\n\t\t\t\tcurrentBlendDst = null;\n\t\t\t\tcurrentBlendSrcAlpha = null;\n\t\t\t\tcurrentBlendDstAlpha = null;\n\t\t\t\tcurrentBlendColor.set( 0, 0, 0 );\n\t\t\t\tcurrentBlendAlpha = 0;\n\n\t\t\t\tcurrentBlending = blending;\n\t\t\t\tcurrentPremultipledAlpha = premultipliedAlpha;\n\n\t\t\t}\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// custom blending\n\n\t\tblendEquationAlpha = blendEquationAlpha || blendEquation;\n\t\tblendSrcAlpha = blendSrcAlpha || blendSrc;\n\t\tblendDstAlpha = blendDstAlpha || blendDst;\n\n\t\tif ( blendEquation !== currentBlendEquation || blendEquationAlpha !== currentBlendEquationAlpha ) {\n\n\t\t\tgl.blendEquationSeparate( equationToGL[ blendEquation ], equationToGL[ blendEquationAlpha ] );\n\n\t\t\tcurrentBlendEquation = blendEquation;\n\t\t\tcurrentBlendEquationAlpha = blendEquationAlpha;\n\n\t\t}\n\n\t\tif ( blendSrc !== currentBlendSrc || blendDst !== currentBlendDst || blendSrcAlpha !== currentBlendSrcAlpha || blendDstAlpha !== currentBlendDstAlpha ) {\n\n\t\t\tgl.blendFuncSeparate( factorToGL[ blendSrc ], factorToGL[ blendDst ], factorToGL[ blendSrcAlpha ], factorToGL[ blendDstAlpha ] );\n\n\t\t\tcurrentBlendSrc = blendSrc;\n\t\t\tcurrentBlendDst = blendDst;\n\t\t\tcurrentBlendSrcAlpha = blendSrcAlpha;\n\t\t\tcurrentBlendDstAlpha = blendDstAlpha;\n\n\t\t}\n\n\t\tif ( blendColor.equals( currentBlendColor ) === false || blendAlpha !== currentBlendAlpha ) {\n\n\t\t\tgl.blendColor( blendColor.r, blendColor.g, blendColor.b, blendAlpha );\n\n\t\t\tcurrentBlendColor.copy( blendColor );\n\t\t\tcurrentBlendAlpha = blendAlpha;\n\n\t\t}\n\n\t\tcurrentBlending = blending;\n\t\tcurrentPremultipledAlpha = false;\n\n\t}\n\n\tfunction setMaterial( material, frontFaceCW ) {\n\n\t\tmaterial.side === DoubleSide\n\t\t\t? disable( gl.CULL_FACE )\n\t\t\t: enable( gl.CULL_FACE );\n\n\t\tlet flipSided = ( material.side === BackSide );\n\t\tif ( frontFaceCW ) flipSided = ! flipSided;\n\n\t\tsetFlipSided( flipSided );\n\n\t\t( material.blending === NormalBlending && material.transparent === false )\n\t\t\t? setBlending( NoBlending )\n\t\t\t: setBlending( material.blending, material.blendEquation, material.blendSrc, material.blendDst, material.blendEquationAlpha, material.blendSrcAlpha, material.blendDstAlpha, material.blendColor, material.blendAlpha, material.premultipliedAlpha );\n\n\t\tdepthBuffer.setFunc( material.depthFunc );\n\t\tdepthBuffer.setTest( material.depthTest );\n\t\tdepthBuffer.setMask( material.depthWrite );\n\t\tcolorBuffer.setMask( material.colorWrite );\n\n\t\tconst stencilWrite = material.stencilWrite;\n\t\tstencilBuffer.setTest( stencilWrite );\n\t\tif ( stencilWrite ) {\n\n\t\t\tstencilBuffer.setMask( material.stencilWriteMask );\n\t\t\tstencilBuffer.setFunc( material.stencilFunc, material.stencilRef, material.stencilFuncMask );\n\t\t\tstencilBuffer.setOp( material.stencilFail, material.stencilZFail, material.stencilZPass );\n\n\t\t}\n\n\t\tsetPolygonOffset( material.polygonOffset, material.polygonOffsetFactor, material.polygonOffsetUnits );\n\n\t\tmaterial.alphaToCoverage === true\n\t\t\t? enable( gl.SAMPLE_ALPHA_TO_COVERAGE )\n\t\t\t: disable( gl.SAMPLE_ALPHA_TO_COVERAGE );\n\n\t}\n\n\t//\n\n\tfunction setFlipSided( flipSided ) {\n\n\t\tif ( currentFlipSided !== flipSided ) {\n\n\t\t\tif ( flipSided ) {\n\n\t\t\t\tgl.frontFace( gl.CW );\n\n\t\t\t} else {\n\n\t\t\t\tgl.frontFace( gl.CCW );\n\n\t\t\t}\n\n\t\t\tcurrentFlipSided = flipSided;\n\n\t\t}\n\n\t}\n\n\tfunction setCullFace( cullFace ) {\n\n\t\tif ( cullFace !== CullFaceNone ) {\n\n\t\t\tenable( gl.CULL_FACE );\n\n\t\t\tif ( cullFace !== currentCullFace ) {\n\n\t\t\t\tif ( cullFace === CullFaceBack ) {\n\n\t\t\t\t\tgl.cullFace( gl.BACK );\n\n\t\t\t\t} else if ( cullFace === CullFaceFront ) {\n\n\t\t\t\t\tgl.cullFace( gl.FRONT );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tgl.cullFace( gl.FRONT_AND_BACK );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tdisable( gl.CULL_FACE );\n\n\t\t}\n\n\t\tcurrentCullFace = cullFace;\n\n\t}\n\n\tfunction setLineWidth( width ) {\n\n\t\tif ( width !== currentLineWidth ) {\n\n\t\t\tif ( lineWidthAvailable ) gl.lineWidth( width );\n\n\t\t\tcurrentLineWidth = width;\n\n\t\t}\n\n\t}\n\n\tfunction setPolygonOffset( polygonOffset, factor, units ) {\n\n\t\tif ( polygonOffset ) {\n\n\t\t\tenable( gl.POLYGON_OFFSET_FILL );\n\n\t\t\tif ( currentPolygonOffsetFactor !== factor || currentPolygonOffsetUnits !== units ) {\n\n\t\t\t\tgl.polygonOffset( factor, units );\n\n\t\t\t\tcurrentPolygonOffsetFactor = factor;\n\t\t\t\tcurrentPolygonOffsetUnits = units;\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tdisable( gl.POLYGON_OFFSET_FILL );\n\n\t\t}\n\n\t}\n\n\tfunction setScissorTest( scissorTest ) {\n\n\t\tif ( scissorTest ) {\n\n\t\t\tenable( gl.SCISSOR_TEST );\n\n\t\t} else {\n\n\t\t\tdisable( gl.SCISSOR_TEST );\n\n\t\t}\n\n\t}\n\n\t// texture\n\n\tfunction activeTexture( webglSlot ) {\n\n\t\tif ( webglSlot === undefined ) webglSlot = gl.TEXTURE0 + maxTextures - 1;\n\n\t\tif ( currentTextureSlot !== webglSlot ) {\n\n\t\t\tgl.activeTexture( webglSlot );\n\t\t\tcurrentTextureSlot = webglSlot;\n\n\t\t}\n\n\t}\n\n\tfunction bindTexture( webglType, webglTexture, webglSlot ) {\n\n\t\tif ( webglSlot === undefined ) {\n\n\t\t\tif ( currentTextureSlot === null ) {\n\n\t\t\t\twebglSlot = gl.TEXTURE0 + maxTextures - 1;\n\n\t\t\t} else {\n\n\t\t\t\twebglSlot = currentTextureSlot;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlet boundTexture = currentBoundTextures[ webglSlot ];\n\n\t\tif ( boundTexture === undefined ) {\n\n\t\t\tboundTexture = { type: undefined, texture: undefined };\n\t\t\tcurrentBoundTextures[ webglSlot ] = boundTexture;\n\n\t\t}\n\n\t\tif ( boundTexture.type !== webglType || boundTexture.texture !== webglTexture ) {\n\n\t\t\tif ( currentTextureSlot !== webglSlot ) {\n\n\t\t\t\tgl.activeTexture( webglSlot );\n\t\t\t\tcurrentTextureSlot = webglSlot;\n\n\t\t\t}\n\n\t\t\tgl.bindTexture( webglType, webglTexture || emptyTextures[ webglType ] );\n\n\t\t\tboundTexture.type = webglType;\n\t\t\tboundTexture.texture = webglTexture;\n\n\t\t}\n\n\t}\n\n\tfunction unbindTexture() {\n\n\t\tconst boundTexture = currentBoundTextures[ currentTextureSlot ];\n\n\t\tif ( boundTexture !== undefined && boundTexture.type !== undefined ) {\n\n\t\t\tgl.bindTexture( boundTexture.type, null );\n\n\t\t\tboundTexture.type = undefined;\n\t\t\tboundTexture.texture = undefined;\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texSubImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texSubImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texSubImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texSubImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexSubImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexSubImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction compressedTexSubImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.compressedTexSubImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texStorage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texStorage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texStorage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texStorage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texImage2D() {\n\n\t\ttry {\n\n\t\t\tgl.texImage2D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\tfunction texImage3D() {\n\n\t\ttry {\n\n\t\t\tgl.texImage3D.apply( gl, arguments );\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLState:', error );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tfunction scissor( scissor ) {\n\n\t\tif ( currentScissor.equals( scissor ) === false ) {\n\n\t\t\tgl.scissor( scissor.x, scissor.y, scissor.z, scissor.w );\n\t\t\tcurrentScissor.copy( scissor );\n\n\t\t}\n\n\t}\n\n\tfunction viewport( viewport ) {\n\n\t\tif ( currentViewport.equals( viewport ) === false ) {\n\n\t\t\tgl.viewport( viewport.x, viewport.y, viewport.z, viewport.w );\n\t\t\tcurrentViewport.copy( viewport );\n\n\t\t}\n\n\t}\n\n\tfunction updateUBOMapping( uniformsGroup, program ) {\n\n\t\tlet mapping = uboProgramMap.get( program );\n\n\t\tif ( mapping === undefined ) {\n\n\t\t\tmapping = new WeakMap();\n\n\t\t\tuboProgramMap.set( program, mapping );\n\n\t\t}\n\n\t\tlet blockIndex = mapping.get( uniformsGroup );\n\n\t\tif ( blockIndex === undefined ) {\n\n\t\t\tblockIndex = gl.getUniformBlockIndex( program, uniformsGroup.name );\n\n\t\t\tmapping.set( uniformsGroup, blockIndex );\n\n\t\t}\n\n\t}\n\n\tfunction uniformBlockBinding( uniformsGroup, program ) {\n\n\t\tconst mapping = uboProgramMap.get( program );\n\t\tconst blockIndex = mapping.get( uniformsGroup );\n\n\t\tif ( uboBindings.get( program ) !== blockIndex ) {\n\n\t\t\t// bind shader specific block index to global block point\n\t\t\tgl.uniformBlockBinding( program, blockIndex, uniformsGroup.__bindingPointIndex );\n\n\t\t\tuboBindings.set( program, blockIndex );\n\n\t\t}\n\n\t}\n\n\t//\n\n\tfunction reset() {\n\n\t\t// reset state\n\n\t\tgl.disable( gl.BLEND );\n\t\tgl.disable( gl.CULL_FACE );\n\t\tgl.disable( gl.DEPTH_TEST );\n\t\tgl.disable( gl.POLYGON_OFFSET_FILL );\n\t\tgl.disable( gl.SCISSOR_TEST );\n\t\tgl.disable( gl.STENCIL_TEST );\n\t\tgl.disable( gl.SAMPLE_ALPHA_TO_COVERAGE );\n\n\t\tgl.blendEquation( gl.FUNC_ADD );\n\t\tgl.blendFunc( gl.ONE, gl.ZERO );\n\t\tgl.blendFuncSeparate( gl.ONE, gl.ZERO, gl.ONE, gl.ZERO );\n\t\tgl.blendColor( 0, 0, 0, 0 );\n\n\t\tgl.colorMask( true, true, true, true );\n\t\tgl.clearColor( 0, 0, 0, 0 );\n\n\t\tgl.depthMask( true );\n\t\tgl.depthFunc( gl.LESS );\n\t\tgl.clearDepth( 1 );\n\n\t\tgl.stencilMask( 0xffffffff );\n\t\tgl.stencilFunc( gl.ALWAYS, 0, 0xffffffff );\n\t\tgl.stencilOp( gl.KEEP, gl.KEEP, gl.KEEP );\n\t\tgl.clearStencil( 0 );\n\n\t\tgl.cullFace( gl.BACK );\n\t\tgl.frontFace( gl.CCW );\n\n\t\tgl.polygonOffset( 0, 0 );\n\n\t\tgl.activeTexture( gl.TEXTURE0 );\n\n\t\tgl.bindFramebuffer( gl.FRAMEBUFFER, null );\n\n\t\tif ( isWebGL2 === true ) {\n\n\t\t\tgl.bindFramebuffer( gl.DRAW_FRAMEBUFFER, null );\n\t\t\tgl.bindFramebuffer( gl.READ_FRAMEBUFFER, null );\n\n\t\t}\n\n\t\tgl.useProgram( null );\n\n\t\tgl.lineWidth( 1 );\n\n\t\tgl.scissor( 0, 0, gl.canvas.width, gl.canvas.height );\n\t\tgl.viewport( 0, 0, gl.canvas.width, gl.canvas.height );\n\n\t\t// reset internals\n\n\t\tenabledCapabilities = {};\n\n\t\tcurrentTextureSlot = null;\n\t\tcurrentBoundTextures = {};\n\n\t\tcurrentBoundFramebuffers = {};\n\t\tcurrentDrawbuffers = new WeakMap();\n\t\tdefaultDrawbuffers = [];\n\n\t\tcurrentProgram = null;\n\n\t\tcurrentBlendingEnabled = false;\n\t\tcurrentBlending = null;\n\t\tcurrentBlendEquation = null;\n\t\tcurrentBlendSrc = null;\n\t\tcurrentBlendDst = null;\n\t\tcurrentBlendEquationAlpha = null;\n\t\tcurrentBlendSrcAlpha = null;\n\t\tcurrentBlendDstAlpha = null;\n\t\tcurrentBlendColor = new Color( 0, 0, 0 );\n\t\tcurrentBlendAlpha = 0;\n\t\tcurrentPremultipledAlpha = false;\n\n\t\tcurrentFlipSided = null;\n\t\tcurrentCullFace = null;\n\n\t\tcurrentLineWidth = null;\n\n\t\tcurrentPolygonOffsetFactor = null;\n\t\tcurrentPolygonOffsetUnits = null;\n\n\t\tcurrentScissor.set( 0, 0, gl.canvas.width, gl.canvas.height );\n\t\tcurrentViewport.set( 0, 0, gl.canvas.width, gl.canvas.height );\n\n\t\tcolorBuffer.reset();\n\t\tdepthBuffer.reset();\n\t\tstencilBuffer.reset();\n\n\t}\n\n\treturn {\n\n\t\tbuffers: {\n\t\t\tcolor: colorBuffer,\n\t\t\tdepth: depthBuffer,\n\t\t\tstencil: stencilBuffer\n\t\t},\n\n\t\tenable: enable,\n\t\tdisable: disable,\n\n\t\tbindFramebuffer: bindFramebuffer,\n\t\tdrawBuffers: drawBuffers,\n\n\t\tuseProgram: useProgram,\n\n\t\tsetBlending: setBlending,\n\t\tsetMaterial: setMaterial,\n\n\t\tsetFlipSided: setFlipSided,\n\t\tsetCullFace: setCullFace,\n\n\t\tsetLineWidth: setLineWidth,\n\t\tsetPolygonOffset: setPolygonOffset,\n\n\t\tsetScissorTest: setScissorTest,\n\n\t\tactiveTexture: activeTexture,\n\t\tbindTexture: bindTexture,\n\t\tunbindTexture: unbindTexture,\n\t\tcompressedTexImage2D: compressedTexImage2D,\n\t\tcompressedTexImage3D: compressedTexImage3D,\n\t\ttexImage2D: texImage2D,\n\t\ttexImage3D: texImage3D,\n\n\t\tupdateUBOMapping: updateUBOMapping,\n\t\tuniformBlockBinding: uniformBlockBinding,\n\n\t\ttexStorage2D: texStorage2D,\n\t\ttexStorage3D: texStorage3D,\n\t\ttexSubImage2D: texSubImage2D,\n\t\ttexSubImage3D: texSubImage3D,\n\t\tcompressedTexSubImage2D: compressedTexSubImage2D,\n\t\tcompressedTexSubImage3D: compressedTexSubImage3D,\n\n\t\tscissor: scissor,\n\t\tviewport: viewport,\n\n\t\treset: reset\n\n\t};\n\n}\n\nfunction WebGLTextures( _gl, extensions, state, properties, capabilities, utils, info ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\tconst multisampledRTTExt = extensions.has( 'WEBGL_multisampled_render_to_texture' ) ? extensions.get( 'WEBGL_multisampled_render_to_texture' ) : null;\n\tconst supportsInvalidateFramebuffer = typeof navigator === 'undefined' ? false : /OculusBrowser/g.test( navigator.userAgent );\n\n\tconst _videoTextures = new WeakMap();\n\tlet _canvas;\n\n\tconst _sources = new WeakMap(); // maps WebglTexture objects to instances of Source\n\n\t// cordova iOS (as of 5.0) still uses UIWebView, which provides OffscreenCanvas,\n\t// also OffscreenCanvas.getContext(\"webgl\"), but not OffscreenCanvas.getContext(\"2d\")!\n\t// Some implementations may only implement OffscreenCanvas partially (e.g. lacking 2d).\n\n\tlet useOffscreenCanvas = false;\n\n\ttry {\n\n\t\tuseOffscreenCanvas = typeof OffscreenCanvas !== 'undefined'\n\t\t\t// eslint-disable-next-line compat/compat\n\t\t\t&& ( new OffscreenCanvas( 1, 1 ).getContext( '2d' ) ) !== null;\n\n\t} catch ( err ) {\n\n\t\t// Ignore any errors\n\n\t}\n\n\tfunction createCanvas( width, height ) {\n\n\t\t// Use OffscreenCanvas when available. Specially needed in web workers\n\n\t\treturn useOffscreenCanvas ?\n\t\t\t// eslint-disable-next-line compat/compat\n\t\t\tnew OffscreenCanvas( width, height ) : createElementNS( 'canvas' );\n\n\t}\n\n\tfunction resizeImage( image, needsPowerOfTwo, needsNewCanvas, maxSize ) {\n\n\t\tlet scale = 1;\n\n\t\t// handle case if texture exceeds max size\n\n\t\tif ( image.width > maxSize || image.height > maxSize ) {\n\n\t\t\tscale = maxSize / Math.max( image.width, image.height );\n\n\t\t}\n\n\t\t// only perform resize if necessary\n\n\t\tif ( scale < 1 || needsPowerOfTwo === true ) {\n\n\t\t\t// only perform resize for certain image types\n\n\t\t\tif ( ( typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement ) ||\n\t\t\t\t( typeof HTMLCanvasElement !== 'undefined' && image instanceof HTMLCanvasElement ) ||\n\t\t\t\t( typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap ) ) {\n\n\t\t\t\tconst floor = needsPowerOfTwo ? floorPowerOfTwo : Math.floor;\n\n\t\t\t\tconst width = floor( scale * image.width );\n\t\t\t\tconst height = floor( scale * image.height );\n\n\t\t\t\tif ( _canvas === undefined ) _canvas = createCanvas( width, height );\n\n\t\t\t\t// cube textures can't reuse the same canvas\n\n\t\t\t\tconst canvas = needsNewCanvas ? createCanvas( width, height ) : _canvas;\n\n\t\t\t\tcanvas.width = width;\n\t\t\t\tcanvas.height = height;\n\n\t\t\t\tconst context = canvas.getContext( '2d' );\n\t\t\t\tcontext.drawImage( image, 0, 0, width, height );\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture has been resized from (' + image.width + 'x' + image.height + ') to (' + width + 'x' + height + ').' );\n\n\t\t\t\treturn canvas;\n\n\t\t\t} else {\n\n\t\t\t\tif ( 'data' in image ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Image in DataTexture is too big (' + image.width + 'x' + image.height + ').' );\n\n\t\t\t\t}\n\n\t\t\t\treturn image;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn image;\n\n\t}\n\n\tfunction isPowerOfTwo$1( image ) {\n\n\t\treturn isPowerOfTwo( image.width ) && isPowerOfTwo( image.height );\n\n\t}\n\n\tfunction textureNeedsPowerOfTwo( texture ) {\n\n\t\tif ( isWebGL2 ) return false;\n\n\t\treturn ( texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping ) ||\n\t\t\t( texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter );\n\n\t}\n\n\tfunction textureNeedsGenerateMipmaps( texture, supportsMips ) {\n\n\t\treturn texture.generateMipmaps && supportsMips &&\n\t\t\ttexture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter;\n\n\t}\n\n\tfunction generateMipmap( target ) {\n\n\t\t_gl.generateMipmap( target );\n\n\t}\n\n\tfunction getInternalFormat( internalFormatName, glFormat, glType, colorSpace, forceLinearTransfer = false ) {\n\n\t\tif ( isWebGL2 === false ) return glFormat;\n\n\t\tif ( internalFormatName !== null ) {\n\n\t\t\tif ( _gl[ internalFormatName ] !== undefined ) return _gl[ internalFormatName ];\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format \\'' + internalFormatName + '\\'' );\n\n\t\t}\n\n\t\tlet internalFormat = glFormat;\n\n\t\tif ( glFormat === _gl.RED ) {\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.R32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.R16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.R8;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RED_INTEGER ) {\n\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.R8UI;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT ) internalFormat = _gl.R16UI;\n\t\t\tif ( glType === _gl.UNSIGNED_INT ) internalFormat = _gl.R32UI;\n\t\t\tif ( glType === _gl.BYTE ) internalFormat = _gl.R8I;\n\t\t\tif ( glType === _gl.SHORT ) internalFormat = _gl.R16I;\n\t\t\tif ( glType === _gl.INT ) internalFormat = _gl.R32I;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RG ) {\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.RG32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.RG16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = _gl.RG8;\n\n\t\t}\n\n\t\tif ( glFormat === _gl.RGBA ) {\n\n\t\t\tconst transfer = forceLinearTransfer ? LinearTransfer : ColorManagement.getTransfer( colorSpace );\n\n\t\t\tif ( glType === _gl.FLOAT ) internalFormat = _gl.RGBA32F;\n\t\t\tif ( glType === _gl.HALF_FLOAT ) internalFormat = _gl.RGBA16F;\n\t\t\tif ( glType === _gl.UNSIGNED_BYTE ) internalFormat = ( transfer === SRGBTransfer ) ? _gl.SRGB8_ALPHA8 : _gl.RGBA8;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT_4_4_4_4 ) internalFormat = _gl.RGBA4;\n\t\t\tif ( glType === _gl.UNSIGNED_SHORT_5_5_5_1 ) internalFormat = _gl.RGB5_A1;\n\n\t\t}\n\n\t\tif ( internalFormat === _gl.R16F || internalFormat === _gl.R32F ||\n\t\t\tinternalFormat === _gl.RG16F || internalFormat === _gl.RG32F ||\n\t\t\tinternalFormat === _gl.RGBA16F || internalFormat === _gl.RGBA32F ) {\n\n\t\t\textensions.get( 'EXT_color_buffer_float' );\n\n\t\t}\n\n\t\treturn internalFormat;\n\n\t}\n\n\tfunction getMipLevels( texture, image, supportsMips ) {\n\n\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) === true || ( texture.isFramebufferTexture && texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter ) ) {\n\n\t\t\treturn Math.log2( Math.max( image.width, image.height ) ) + 1;\n\n\t\t} else if ( texture.mipmaps !== undefined && texture.mipmaps.length > 0 ) {\n\n\t\t\t// user-defined mipmaps\n\n\t\t\treturn texture.mipmaps.length;\n\n\t\t} else if ( texture.isCompressedTexture && Array.isArray( texture.image ) ) {\n\n\t\t\treturn image.mipmaps.length;\n\n\t\t} else {\n\n\t\t\t// texture without mipmaps (only base level)\n\n\t\t\treturn 1;\n\n\t\t}\n\n\t}\n\n\t// Fallback filters for non-power-of-2 textures\n\n\tfunction filterFallback( f ) {\n\n\t\tif ( f === NearestFilter || f === NearestMipmapNearestFilter || f === NearestMipmapLinearFilter ) {\n\n\t\t\treturn _gl.NEAREST;\n\n\t\t}\n\n\t\treturn _gl.LINEAR;\n\n\t}\n\n\t//\n\n\tfunction onTextureDispose( event ) {\n\n\t\tconst texture = event.target;\n\n\t\ttexture.removeEventListener( 'dispose', onTextureDispose );\n\n\t\tdeallocateTexture( texture );\n\n\t\tif ( texture.isVideoTexture ) {\n\n\t\t\t_videoTextures.delete( texture );\n\n\t\t}\n\n\t}\n\n\tfunction onRenderTargetDispose( event ) {\n\n\t\tconst renderTarget = event.target;\n\n\t\trenderTarget.removeEventListener( 'dispose', onRenderTargetDispose );\n\n\t\tdeallocateRenderTarget( renderTarget );\n\n\t}\n\n\t//\n\n\tfunction deallocateTexture( texture ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( textureProperties.__webglInit === undefined ) return;\n\n\t\t// check if it's necessary to remove the WebGLTexture object\n\n\t\tconst source = texture.source;\n\t\tconst webglTextures = _sources.get( source );\n\n\t\tif ( webglTextures ) {\n\n\t\t\tconst webglTexture = webglTextures[ textureProperties.__cacheKey ];\n\t\t\twebglTexture.usedTimes --;\n\n\t\t\t// the WebGLTexture object is not used anymore, remove it\n\n\t\t\tif ( webglTexture.usedTimes === 0 ) {\n\n\t\t\t\tdeleteTexture( texture );\n\n\t\t\t}\n\n\t\t\t// remove the weak map entry if no WebGLTexture uses the source anymore\n\n\t\t\tif ( Object.keys( webglTextures ).length === 0 ) {\n\n\t\t\t\t_sources.delete( source );\n\n\t\t\t}\n\n\t\t}\n\n\t\tproperties.remove( texture );\n\n\t}\n\n\tfunction deleteTexture( texture ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\t\t_gl.deleteTexture( textureProperties.__webglTexture );\n\n\t\tconst source = texture.source;\n\t\tconst webglTextures = _sources.get( source );\n\t\tdelete webglTextures[ textureProperties.__cacheKey ];\n\n\t\tinfo.memory.textures --;\n\n\t}\n\n\tfunction deallocateRenderTarget( renderTarget ) {\n\n\t\tconst texture = renderTarget.texture;\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( textureProperties.__webglTexture !== undefined ) {\n\n\t\t\t_gl.deleteTexture( textureProperties.__webglTexture );\n\n\t\t\tinfo.memory.textures --;\n\n\t\t}\n\n\t\tif ( renderTarget.depthTexture ) {\n\n\t\t\trenderTarget.depthTexture.dispose();\n\n\t\t}\n\n\t\tif ( renderTarget.isWebGLCubeRenderTarget ) {\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( Array.isArray( renderTargetProperties.__webglFramebuffer[ i ] ) ) {\n\n\t\t\t\t\tfor ( let level = 0; level < renderTargetProperties.__webglFramebuffer[ i ].length; level ++ ) _gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ i ][ level ] );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( renderTargetProperties.__webglDepthbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthbuffer[ i ] );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( Array.isArray( renderTargetProperties.__webglFramebuffer ) ) {\n\n\t\t\t\tfor ( let level = 0; level < renderTargetProperties.__webglFramebuffer.length; level ++ ) _gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer[ level ] );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.deleteFramebuffer( renderTargetProperties.__webglFramebuffer );\n\n\t\t\t}\n\n\t\t\tif ( renderTargetProperties.__webglDepthbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthbuffer );\n\t\t\tif ( renderTargetProperties.__webglMultisampledFramebuffer ) _gl.deleteFramebuffer( renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t\tif ( renderTargetProperties.__webglColorRenderbuffer ) {\n\n\t\t\t\tfor ( let i = 0; i < renderTargetProperties.__webglColorRenderbuffer.length; i ++ ) {\n\n\t\t\t\t\tif ( renderTargetProperties.__webglColorRenderbuffer[ i ] ) _gl.deleteRenderbuffer( renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( renderTargetProperties.__webglDepthRenderbuffer ) _gl.deleteRenderbuffer( renderTargetProperties.__webglDepthRenderbuffer );\n\n\t\t}\n\n\t\tif ( renderTarget.isWebGLMultipleRenderTargets ) {\n\n\t\t\tfor ( let i = 0, il = texture.length; i < il; i ++ ) {\n\n\t\t\t\tconst attachmentProperties = properties.get( texture[ i ] );\n\n\t\t\t\tif ( attachmentProperties.__webglTexture ) {\n\n\t\t\t\t\t_gl.deleteTexture( attachmentProperties.__webglTexture );\n\n\t\t\t\t\tinfo.memory.textures --;\n\n\t\t\t\t}\n\n\t\t\t\tproperties.remove( texture[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tproperties.remove( texture );\n\t\tproperties.remove( renderTarget );\n\n\t}\n\n\t//\n\n\tlet textureUnits = 0;\n\n\tfunction resetTextureUnits() {\n\n\t\ttextureUnits = 0;\n\n\t}\n\n\tfunction allocateTextureUnit() {\n\n\t\tconst textureUnit = textureUnits;\n\n\t\tif ( textureUnit >= capabilities.maxTextures ) {\n\n\t\t\tconsole.warn( 'THREE.WebGLTextures: Trying to use ' + textureUnit + ' texture units while this GPU supports only ' + capabilities.maxTextures );\n\n\t\t}\n\n\t\ttextureUnits += 1;\n\n\t\treturn textureUnit;\n\n\t}\n\n\tfunction getTextureCacheKey( texture ) {\n\n\t\tconst array = [];\n\n\t\tarray.push( texture.wrapS );\n\t\tarray.push( texture.wrapT );\n\t\tarray.push( texture.wrapR || 0 );\n\t\tarray.push( texture.magFilter );\n\t\tarray.push( texture.minFilter );\n\t\tarray.push( texture.anisotropy );\n\t\tarray.push( texture.internalFormat );\n\t\tarray.push( texture.format );\n\t\tarray.push( texture.type );\n\t\tarray.push( texture.generateMipmaps );\n\t\tarray.push( texture.premultiplyAlpha );\n\t\tarray.push( texture.flipY );\n\t\tarray.push( texture.unpackAlignment );\n\t\tarray.push( texture.colorSpace );\n\n\t\treturn array.join();\n\n\t}\n\n\t//\n\n\tfunction setTexture2D( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.isVideoTexture ) updateVideoTexture( texture );\n\n\t\tif ( texture.isRenderTargetTexture === false && texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tconst image = texture.image;\n\n\t\t\tif ( image === null ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture marked for update but no image data found.' );\n\n\t\t\t} else if ( image.complete === false ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture marked for update but image is incomplete' );\n\n\t\t\t} else {\n\n\t\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_2D, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTexture2DArray( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_2D_ARRAY, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTexture3D( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_3D, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tfunction setTextureCube( texture, slot ) {\n\n\t\tconst textureProperties = properties.get( texture );\n\n\t\tif ( texture.version > 0 && textureProperties.__version !== texture.version ) {\n\n\t\t\tuploadCubeTexture( textureProperties, texture, slot );\n\t\t\treturn;\n\n\t\t}\n\n\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t}\n\n\tconst wrappingToGL = {\n\t\t[ RepeatWrapping ]: _gl.REPEAT,\n\t\t[ ClampToEdgeWrapping ]: _gl.CLAMP_TO_EDGE,\n\t\t[ MirroredRepeatWrapping ]: _gl.MIRRORED_REPEAT\n\t};\n\n\tconst filterToGL = {\n\t\t[ NearestFilter ]: _gl.NEAREST,\n\t\t[ NearestMipmapNearestFilter ]: _gl.NEAREST_MIPMAP_NEAREST,\n\t\t[ NearestMipmapLinearFilter ]: _gl.NEAREST_MIPMAP_LINEAR,\n\n\t\t[ LinearFilter ]: _gl.LINEAR,\n\t\t[ LinearMipmapNearestFilter ]: _gl.LINEAR_MIPMAP_NEAREST,\n\t\t[ LinearMipmapLinearFilter ]: _gl.LINEAR_MIPMAP_LINEAR\n\t};\n\n\tconst compareToGL = {\n\t\t[ NeverCompare ]: _gl.NEVER,\n\t\t[ AlwaysCompare ]: _gl.ALWAYS,\n\t\t[ LessCompare ]: _gl.LESS,\n\t\t[ LessEqualCompare ]: _gl.LEQUAL,\n\t\t[ EqualCompare ]: _gl.EQUAL,\n\t\t[ GreaterEqualCompare ]: _gl.GEQUAL,\n\t\t[ GreaterCompare ]: _gl.GREATER,\n\t\t[ NotEqualCompare ]: _gl.NOTEQUAL\n\t};\n\n\tfunction setTextureParameters( textureType, texture, supportsMips ) {\n\n\t\tif ( supportsMips ) {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_S, wrappingToGL[ texture.wrapS ] );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_T, wrappingToGL[ texture.wrapT ] );\n\n\t\t\tif ( textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_R, wrappingToGL[ texture.wrapR ] );\n\n\t\t\t}\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MAG_FILTER, filterToGL[ texture.magFilter ] );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MIN_FILTER, filterToGL[ texture.minFilter ] );\n\n\t\t} else {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_S, _gl.CLAMP_TO_EDGE );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_T, _gl.CLAMP_TO_EDGE );\n\n\t\t\tif ( textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_WRAP_R, _gl.CLAMP_TO_EDGE );\n\n\t\t\t}\n\n\t\t\tif ( texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping.' );\n\n\t\t\t}\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MAG_FILTER, filterFallback( texture.magFilter ) );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_MIN_FILTER, filterFallback( texture.minFilter ) );\n\n\t\t\tif ( texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.' );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( texture.compareFunction ) {\n\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_COMPARE_MODE, _gl.COMPARE_REF_TO_TEXTURE );\n\t\t\t_gl.texParameteri( textureType, _gl.TEXTURE_COMPARE_FUNC, compareToGL[ texture.compareFunction ] );\n\n\t\t}\n\n\t\tif ( extensions.has( 'EXT_texture_filter_anisotropic' ) === true ) {\n\n\t\t\tconst extension = extensions.get( 'EXT_texture_filter_anisotropic' );\n\n\t\t\tif ( texture.magFilter === NearestFilter ) return;\n\t\t\tif ( texture.minFilter !== NearestMipmapLinearFilter && texture.minFilter !== LinearMipmapLinearFilter ) return;\n\t\t\tif ( texture.type === FloatType && extensions.has( 'OES_texture_float_linear' ) === false ) return; // verify extension for WebGL 1 and WebGL 2\n\t\t\tif ( isWebGL2 === false && ( texture.type === HalfFloatType && extensions.has( 'OES_texture_half_float_linear' ) === false ) ) return; // verify extension for WebGL 1 only\n\n\t\t\tif ( texture.anisotropy > 1 || properties.get( texture ).__currentAnisotropy ) {\n\n\t\t\t\t_gl.texParameterf( textureType, extension.TEXTURE_MAX_ANISOTROPY_EXT, Math.min( texture.anisotropy, capabilities.getMaxAnisotropy() ) );\n\t\t\t\tproperties.get( texture ).__currentAnisotropy = texture.anisotropy;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction initTexture( textureProperties, texture ) {\n\n\t\tlet forceUpload = false;\n\n\t\tif ( textureProperties.__webglInit === undefined ) {\n\n\t\t\ttextureProperties.__webglInit = true;\n\n\t\t\ttexture.addEventListener( 'dispose', onTextureDispose );\n\n\t\t}\n\n\t\t// create Source <-> WebGLTextures mapping if necessary\n\n\t\tconst source = texture.source;\n\t\tlet webglTextures = _sources.get( source );\n\n\t\tif ( webglTextures === undefined ) {\n\n\t\t\twebglTextures = {};\n\t\t\t_sources.set( source, webglTextures );\n\n\t\t}\n\n\t\t// check if there is already a WebGLTexture object for the given texture parameters\n\n\t\tconst textureCacheKey = getTextureCacheKey( texture );\n\n\t\tif ( textureCacheKey !== textureProperties.__cacheKey ) {\n\n\t\t\t// if not, create a new instance of WebGLTexture\n\n\t\t\tif ( webglTextures[ textureCacheKey ] === undefined ) {\n\n\t\t\t\t// create new entry\n\n\t\t\t\twebglTextures[ textureCacheKey ] = {\n\t\t\t\t\ttexture: _gl.createTexture(),\n\t\t\t\t\tusedTimes: 0\n\t\t\t\t};\n\n\t\t\t\tinfo.memory.textures ++;\n\n\t\t\t\t// when a new instance of WebGLTexture was created, a texture upload is required\n\t\t\t\t// even if the image contents are identical\n\n\t\t\t\tforceUpload = true;\n\n\t\t\t}\n\n\t\t\twebglTextures[ textureCacheKey ].usedTimes ++;\n\n\t\t\t// every time the texture cache key changes, it's necessary to check if an instance of\n\t\t\t// WebGLTexture can be deleted in order to avoid a memory leak.\n\n\t\t\tconst webglTexture = webglTextures[ textureProperties.__cacheKey ];\n\n\t\t\tif ( webglTexture !== undefined ) {\n\n\t\t\t\twebglTextures[ textureProperties.__cacheKey ].usedTimes --;\n\n\t\t\t\tif ( webglTexture.usedTimes === 0 ) {\n\n\t\t\t\t\tdeleteTexture( texture );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// store references to cache key and WebGLTexture object\n\n\t\t\ttextureProperties.__cacheKey = textureCacheKey;\n\t\t\ttextureProperties.__webglTexture = webglTextures[ textureCacheKey ].texture;\n\n\t\t}\n\n\t\treturn forceUpload;\n\n\t}\n\n\tfunction uploadTexture( textureProperties, texture, slot ) {\n\n\t\tlet textureType = _gl.TEXTURE_2D;\n\n\t\tif ( texture.isDataArrayTexture || texture.isCompressedArrayTexture ) textureType = _gl.TEXTURE_2D_ARRAY;\n\t\tif ( texture.isData3DTexture ) textureType = _gl.TEXTURE_3D;\n\n\t\tconst forceUpload = initTexture( textureProperties, texture );\n\t\tconst source = texture.source;\n\n\t\tstate.bindTexture( textureType, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t\tconst sourceProperties = properties.get( source );\n\n\t\tif ( source.version !== sourceProperties.__version || forceUpload === true ) {\n\n\t\t\tstate.activeTexture( _gl.TEXTURE0 + slot );\n\n\t\t\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\t\t\tconst texturePrimaries = texture.colorSpace === NoColorSpace ? null : ColorManagement.getPrimaries( texture.colorSpace );\n\t\t\tconst unpackConversion = texture.colorSpace === NoColorSpace || workingPrimaries === texturePrimaries ? _gl.NONE : _gl.BROWSER_DEFAULT_WEBGL;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, texture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, texture.unpackAlignment );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, unpackConversion );\n\n\t\t\tconst needsPowerOfTwo = textureNeedsPowerOfTwo( texture ) && isPowerOfTwo$1( texture.image ) === false;\n\t\t\tlet image = resizeImage( texture.image, needsPowerOfTwo, false, capabilities.maxTextureSize );\n\t\t\timage = verifyColorSpace( texture, image );\n\n\t\t\tconst supportsMips = isPowerOfTwo$1( image ) || isWebGL2,\n\t\t\t\tglFormat = utils.convert( texture.format, texture.colorSpace );\n\n\t\t\tlet glType = utils.convert( texture.type ),\n\t\t\t\tglInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace, texture.isVideoTexture );\n\n\t\t\tsetTextureParameters( textureType, texture, supportsMips );\n\n\t\t\tlet mipmap;\n\t\t\tconst mipmaps = texture.mipmaps;\n\n\t\t\tconst useTexStorage = ( isWebGL2 && texture.isVideoTexture !== true && glInternalFormat !== RGB_ETC1_Format );\n\t\t\tconst allocateMemory = ( sourceProperties.__version === undefined ) || ( forceUpload === true );\n\t\t\tconst levels = getMipLevels( texture, image, supportsMips );\n\n\t\t\tif ( texture.isDepthTexture ) {\n\n\t\t\t\t// populate depth texture with dummy data\n\n\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT;\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tif ( texture.type === FloatType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT32F;\n\n\t\t\t\t\t} else if ( texture.type === UnsignedIntType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT24;\n\n\t\t\t\t\t} else if ( texture.type === UnsignedInt248Type ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH24_STENCIL8;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT16; // WebGL2 requires sized internalformat for glTexImage2D\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( texture.type === FloatType ) {\n\n\t\t\t\t\t\tconsole.error( 'WebGLRenderer: Floating point depth texture requires WebGL2.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// validation checks for WebGL 1\n\n\t\t\t\tif ( texture.format === DepthFormat && glInternalFormat === _gl.DEPTH_COMPONENT ) {\n\n\t\t\t\t\t// The error INVALID_OPERATION is generated by texImage2D if format and internalformat are\n\t\t\t\t\t// DEPTH_COMPONENT and type is not UNSIGNED_SHORT or UNSIGNED_INT\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tif ( texture.type !== UnsignedShortType && texture.type !== UnsignedIntType ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture.' );\n\n\t\t\t\t\t\ttexture.type = UnsignedIntType;\n\t\t\t\t\t\tglType = utils.convert( texture.type );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( texture.format === DepthStencilFormat && glInternalFormat === _gl.DEPTH_COMPONENT ) {\n\n\t\t\t\t\t// Depth stencil textures need the DEPTH_STENCIL internal format\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tglInternalFormat = _gl.DEPTH_STENCIL;\n\n\t\t\t\t\t// The error INVALID_OPERATION is generated by texImage2D if format and internalformat are\n\t\t\t\t\t// DEPTH_STENCIL and type is not UNSIGNED_INT_24_8_WEBGL.\n\t\t\t\t\t// (https://www.khronos.org/registry/webgl/extensions/WEBGL_depth_texture/)\n\t\t\t\t\tif ( texture.type !== UnsignedInt248Type ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture.' );\n\n\t\t\t\t\t\ttexture.type = UnsignedInt248Type;\n\t\t\t\t\t\tglType = utils.convert( texture.type );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t//\n\n\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, 1, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, null );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isDataTexture ) {\n\n\t\t\t\t// use manually created mipmaps if available\n\t\t\t\t// if there are no manual mipmaps\n\t\t\t\t// set 0 level mipmap and then use GL to generate other mipmap levels\n\n\t\t\t\tif ( mipmaps.length > 0 && supportsMips ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, 0, 0, 0, image.width, image.height, glFormat, glType, image.data );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, image.data );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isCompressedTexture ) {\n\n\t\t\t\tif ( texture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_2D_ARRAY, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage3D( _gl.TEXTURE_2D_ARRAY, i, 0, 0, 0, mipmap.width, mipmap.height, image.depth, glFormat, mipmap.data, 0, 0 );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage3D( _gl.TEXTURE_2D_ARRAY, i, glInternalFormat, mipmap.width, mipmap.height, image.depth, 0, mipmap.data, 0, 0 );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_2D_ARRAY, i, 0, 0, 0, mipmap.width, mipmap.height, image.depth, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_2D_ARRAY, i, glInternalFormat, mipmap.width, mipmap.height, image.depth, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, mipmap.data );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isDataArrayTexture ) {\n\n\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_2D_ARRAY, levels, glInternalFormat, image.width, image.height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_2D_ARRAY, 0, 0, 0, 0, image.width, image.height, image.depth, glFormat, glType, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_2D_ARRAY, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data );\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isData3DTexture ) {\n\n\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage3D( _gl.TEXTURE_3D, levels, glInternalFormat, image.width, image.height, image.depth );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tstate.texSubImage3D( _gl.TEXTURE_3D, 0, 0, 0, 0, image.width, image.height, image.depth, glFormat, glType, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tstate.texImage3D( _gl.TEXTURE_3D, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data );\n\n\t\t\t\t}\n\n\t\t\t} else if ( texture.isFramebufferTexture ) {\n\n\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tlet width = image.width, height = image.height;\n\n\t\t\t\t\t\tfor ( let i = 0; i < levels; i ++ ) {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, width, height, 0, glFormat, glType, null );\n\n\t\t\t\t\t\t\twidth >>= 1;\n\t\t\t\t\t\t\theight >>= 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// regular Texture (image, video, canvas)\n\n\t\t\t\t// use manually created mipmaps if available\n\t\t\t\t// if there are no manual mipmaps\n\t\t\t\t// set 0 level mipmap and then use GL to generate other mipmap levels\n\n\t\t\t\tif ( mipmaps.length > 0 && supportsMips ) {\n\n\t\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, mipmaps[ 0 ].width, mipmaps[ 0 ].height );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfor ( let i = 0, il = mipmaps.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tmipmap = mipmaps[ i ];\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, i, 0, 0, glFormat, glType, mipmap );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, i, glInternalFormat, glFormat, glType, mipmap );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\tif ( allocateMemory ) {\n\n\t\t\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_2D, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_2D, 0, 0, 0, glFormat, glType, image );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_2D, 0, glInternalFormat, glFormat, glType, image );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( textureType );\n\n\t\t\t}\n\n\t\t\tsourceProperties.__version = source.version;\n\n\t\t\tif ( texture.onUpdate ) texture.onUpdate( texture );\n\n\t\t}\n\n\t\ttextureProperties.__version = texture.version;\n\n\t}\n\n\tfunction uploadCubeTexture( textureProperties, texture, slot ) {\n\n\t\tif ( texture.image.length !== 6 ) return;\n\n\t\tconst forceUpload = initTexture( textureProperties, texture );\n\t\tconst source = texture.source;\n\n\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture, _gl.TEXTURE0 + slot );\n\n\t\tconst sourceProperties = properties.get( source );\n\n\t\tif ( source.version !== sourceProperties.__version || forceUpload === true ) {\n\n\t\t\tstate.activeTexture( _gl.TEXTURE0 + slot );\n\n\t\t\tconst workingPrimaries = ColorManagement.getPrimaries( ColorManagement.workingColorSpace );\n\t\t\tconst texturePrimaries = texture.colorSpace === NoColorSpace ? null : ColorManagement.getPrimaries( texture.colorSpace );\n\t\t\tconst unpackConversion = texture.colorSpace === NoColorSpace || workingPrimaries === texturePrimaries ? _gl.NONE : _gl.BROWSER_DEFAULT_WEBGL;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, texture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, texture.unpackAlignment );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, unpackConversion );\n\n\t\t\tconst isCompressed = ( texture.isCompressedTexture || texture.image[ 0 ].isCompressedTexture );\n\t\t\tconst isDataTexture = ( texture.image[ 0 ] && texture.image[ 0 ].isDataTexture );\n\n\t\t\tconst cubeImage = [];\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( ! isCompressed && ! isDataTexture ) {\n\n\t\t\t\t\tcubeImage[ i ] = resizeImage( texture.image[ i ], false, true, capabilities.maxCubemapSize );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tcubeImage[ i ] = isDataTexture ? texture.image[ i ].image : texture.image[ i ];\n\n\t\t\t\t}\n\n\t\t\t\tcubeImage[ i ] = verifyColorSpace( texture, cubeImage[ i ] );\n\n\t\t\t}\n\n\t\t\tconst image = cubeImage[ 0 ],\n\t\t\t\tsupportsMips = isPowerOfTwo$1( image ) || isWebGL2,\n\t\t\t\tglFormat = utils.convert( texture.format, texture.colorSpace ),\n\t\t\t\tglType = utils.convert( texture.type ),\n\t\t\t\tglInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\n\t\t\tconst useTexStorage = ( isWebGL2 && texture.isVideoTexture !== true );\n\t\t\tconst allocateMemory = ( sourceProperties.__version === undefined ) || ( forceUpload === true );\n\t\t\tlet levels = getMipLevels( texture, image, supportsMips );\n\n\t\t\tsetTextureParameters( _gl.TEXTURE_CUBE_MAP, texture, supportsMips );\n\n\t\t\tlet mipmaps;\n\n\t\t\tif ( isCompressed ) {\n\n\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_CUBE_MAP, levels, glInternalFormat, image.width, image.height );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tmipmaps = cubeImage[ i ].mipmaps;\n\n\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\n\t\t\t\t\t\tif ( texture.format !== RGBAFormat ) {\n\n\t\t\t\t\t\t\tif ( glFormat !== null ) {\n\n\t\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, 0, 0, mipmap.width, mipmap.height, glFormat, mipmap.data );\n\n\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\tstate.compressedTexImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()' );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, 0, 0, mipmap.width, mipmap.height, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tmipmaps = texture.mipmaps;\n\n\t\t\t\tif ( useTexStorage && allocateMemory ) {\n\n\t\t\t\t\t// TODO: Uniformly handle mipmap definitions\n\t\t\t\t\t// Normal textures and compressed cube textures define base level + mips with their mipmap array\n\t\t\t\t\t// Uncompressed cube textures use their mipmap array only for mips (no base level)\n\n\t\t\t\t\tif ( mipmaps.length > 0 ) levels ++;\n\n\t\t\t\t\tstate.texStorage2D( _gl.TEXTURE_CUBE_MAP, levels, glInternalFormat, cubeImage[ 0 ].width, cubeImage[ 0 ].height );\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tif ( isDataTexture ) {\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, 0, 0, cubeImage[ i ].width, cubeImage[ i ].height, glFormat, glType, cubeImage[ i ].data );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, cubeImage[ i ].width, cubeImage[ i ].height, 0, glFormat, glType, cubeImage[ i ].data );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\t\t\t\t\t\t\tconst mipmapImage = mipmap.image[ i ].image;\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, 0, 0, mipmapImage.width, mipmapImage.height, glFormat, glType, mipmapImage.data );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, mipmapImage.width, mipmapImage.height, 0, glFormat, glType, mipmapImage.data );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, 0, 0, glFormat, glType, cubeImage[ i ] );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, glFormat, glType, cubeImage[ i ] );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfor ( let j = 0; j < mipmaps.length; j ++ ) {\n\n\t\t\t\t\t\t\tconst mipmap = mipmaps[ j ];\n\n\t\t\t\t\t\t\tif ( useTexStorage ) {\n\n\t\t\t\t\t\t\t\tstate.texSubImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, 0, 0, glFormat, glType, mipmap.image[ i ] );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tstate.texImage2D( _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, glFormat, glType, mipmap.image[ i ] );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\t// We assume images for cube map have the same size.\n\t\t\t\tgenerateMipmap( _gl.TEXTURE_CUBE_MAP );\n\n\t\t\t}\n\n\t\t\tsourceProperties.__version = source.version;\n\n\t\t\tif ( texture.onUpdate ) texture.onUpdate( texture );\n\n\t\t}\n\n\t\ttextureProperties.__version = texture.version;\n\n\t}\n\n\t// Render targets\n\n\t// Setup storage for target texture and bind it to correct framebuffer\n\tfunction setupFrameBufferTexture( framebuffer, renderTarget, texture, attachment, textureTarget, level ) {\n\n\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\tconst glType = utils.convert( texture.type );\n\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\tif ( ! renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\tconst width = Math.max( 1, renderTarget.width >> level );\n\t\t\tconst height = Math.max( 1, renderTarget.height >> level );\n\n\t\t\tif ( textureTarget === _gl.TEXTURE_3D || textureTarget === _gl.TEXTURE_2D_ARRAY ) {\n\n\t\t\t\tstate.texImage3D( textureTarget, level, glInternalFormat, width, height, renderTarget.depth, 0, glFormat, glType, null );\n\n\t\t\t} else {\n\n\t\t\t\tstate.texImage2D( textureTarget, level, glInternalFormat, width, height, 0, glFormat, glType, null );\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, attachment, textureTarget, properties.get( texture ).__webglTexture, 0, getRenderTargetSamples( renderTarget ) );\n\n\t\t} else if ( textureTarget === _gl.TEXTURE_2D || ( textureTarget >= _gl.TEXTURE_CUBE_MAP_POSITIVE_X && textureTarget <= _gl.TEXTURE_CUBE_MAP_NEGATIVE_Z ) ) { // see #24753\n\n\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, attachment, textureTarget, properties.get( texture ).__webglTexture, level );\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t}\n\n\n\t// Setup storage for internal depth/stencil buffers and bind to correct framebuffer\n\tfunction setupRenderBufferStorage( renderbuffer, renderTarget, isMultisample ) {\n\n\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, renderbuffer );\n\n\t\tif ( renderTarget.depthBuffer && ! renderTarget.stencilBuffer ) {\n\n\t\t\tlet glInternalFormat = ( isWebGL2 === true ) ? _gl.DEPTH_COMPONENT24 : _gl.DEPTH_COMPONENT16;\n\n\t\t\tif ( isMultisample || useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tconst depthTexture = renderTarget.depthTexture;\n\n\t\t\t\tif ( depthTexture && depthTexture.isDepthTexture ) {\n\n\t\t\t\t\tif ( depthTexture.type === FloatType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT32F;\n\n\t\t\t\t\t} else if ( depthTexture.type === UnsignedIntType ) {\n\n\t\t\t\t\t\tglInternalFormat = _gl.DEPTH_COMPONENT24;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t}\n\n\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer );\n\n\t\t} else if ( renderTarget.depthBuffer && renderTarget.stencilBuffer ) {\n\n\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\tif ( isMultisample && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height );\n\n\t\t\t} else if ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, _gl.DEPTH_STENCIL, renderTarget.width, renderTarget.height );\n\n\t\t\t}\n\n\n\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer );\n\n\t\t} else {\n\n\t\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [ renderTarget.texture ];\n\n\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\tconst texture = textures[ i ];\n\n\t\t\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\t\t\tconst glType = utils.convert( texture.type );\n\t\t\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace );\n\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\t\t\tif ( isMultisample && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else if ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\t\tmultisampledRTTExt.renderbufferStorageMultisampleEXT( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.renderbufferStorage( _gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, null );\n\n\t}\n\n\t// Setup resources for a Depth Texture for a FBO (needs an extension)\n\tfunction setupDepthTexture( framebuffer, renderTarget ) {\n\n\t\tconst isCube = ( renderTarget && renderTarget.isWebGLCubeRenderTarget );\n\t\tif ( isCube ) throw new Error( 'Depth Texture with cube render targets is not supported' );\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\tif ( ! ( renderTarget.depthTexture && renderTarget.depthTexture.isDepthTexture ) ) {\n\n\t\t\tthrow new Error( 'renderTarget.depthTexture must be an instance of THREE.DepthTexture' );\n\n\t\t}\n\n\t\t// upload an empty depth texture with framebuffer size\n\t\tif ( ! properties.get( renderTarget.depthTexture ).__webglTexture ||\n\t\t\t\trenderTarget.depthTexture.image.width !== renderTarget.width ||\n\t\t\t\trenderTarget.depthTexture.image.height !== renderTarget.height ) {\n\n\t\t\trenderTarget.depthTexture.image.width = renderTarget.width;\n\t\t\trenderTarget.depthTexture.image.height = renderTarget.height;\n\t\t\trenderTarget.depthTexture.needsUpdate = true;\n\n\t\t}\n\n\t\tsetTexture2D( renderTarget.depthTexture, 0 );\n\n\t\tconst webglDepthTexture = properties.get( renderTarget.depthTexture ).__webglTexture;\n\t\tconst samples = getRenderTargetSamples( renderTarget );\n\n\t\tif ( renderTarget.depthTexture.format === DepthFormat ) {\n\n\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0, samples );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0 );\n\n\t\t\t}\n\n\t\t} else if ( renderTarget.depthTexture.format === DepthStencilFormat ) {\n\n\t\t\tif ( useMultisampledRTT( renderTarget ) ) {\n\n\t\t\t\tmultisampledRTTExt.framebufferTexture2DMultisampleEXT( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0, samples );\n\n\t\t\t} else {\n\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0 );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tthrow new Error( 'Unknown depthTexture format' );\n\n\t\t}\n\n\t}\n\n\t// Setup GL resources for a non-texture depth buffer\n\tfunction setupDepthRenderbuffer( renderTarget ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst isCube = ( renderTarget.isWebGLCubeRenderTarget === true );\n\n\t\tif ( renderTarget.depthTexture && ! renderTargetProperties.__autoAllocateDepthBuffer ) {\n\n\t\t\tif ( isCube ) throw new Error( 'target.depthTexture not supported in Cube render targets' );\n\n\t\t\tsetupDepthTexture( renderTargetProperties.__webglFramebuffer, renderTarget );\n\n\t\t} else {\n\n\t\t\tif ( isCube ) {\n\n\t\t\t\trenderTargetProperties.__webglDepthbuffer = [];\n\n\t\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer[ i ] );\n\t\t\t\t\trenderTargetProperties.__webglDepthbuffer[ i ] = _gl.createRenderbuffer();\n\t\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthbuffer[ i ], renderTarget, false );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\trenderTargetProperties.__webglDepthbuffer = _gl.createRenderbuffer();\n\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthbuffer, renderTarget, false );\n\n\t\t\t}\n\n\t\t}\n\n\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t}\n\n\t// rebind framebuffer with external textures\n\tfunction rebindTextures( renderTarget, colorTexture, depthTexture ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\tif ( colorTexture !== undefined ) {\n\n\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, renderTarget.texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_2D, 0 );\n\n\t\t}\n\n\t\tif ( depthTexture !== undefined ) {\n\n\t\t\tsetupDepthRenderbuffer( renderTarget );\n\n\t\t}\n\n\t}\n\n\t// Set up GL resources for the render target\n\tfunction setupRenderTarget( renderTarget ) {\n\n\t\tconst texture = renderTarget.texture;\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\tconst textureProperties = properties.get( texture );\n\n\t\trenderTarget.addEventListener( 'dispose', onRenderTargetDispose );\n\n\t\tif ( renderTarget.isWebGLMultipleRenderTargets !== true ) {\n\n\t\t\tif ( textureProperties.__webglTexture === undefined ) {\n\n\t\t\t\ttextureProperties.__webglTexture = _gl.createTexture();\n\n\t\t\t}\n\n\t\t\ttextureProperties.__version = texture.version;\n\t\t\tinfo.memory.textures ++;\n\n\t\t}\n\n\t\tconst isCube = ( renderTarget.isWebGLCubeRenderTarget === true );\n\t\tconst isMultipleRenderTargets = ( renderTarget.isWebGLMultipleRenderTargets === true );\n\t\tconst supportsMips = isPowerOfTwo$1( renderTarget ) || isWebGL2;\n\n\t\t// Setup framebuffer\n\n\t\tif ( isCube ) {\n\n\t\t\trenderTargetProperties.__webglFramebuffer = [];\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ] = [];\n\n\t\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ][ level ] = _gl.createFramebuffer();\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ i ] = _gl.createFramebuffer();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\trenderTargetProperties.__webglFramebuffer = [];\n\n\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\trenderTargetProperties.__webglFramebuffer[ level ] = _gl.createFramebuffer();\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\trenderTargetProperties.__webglFramebuffer = _gl.createFramebuffer();\n\n\t\t\t}\n\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tif ( capabilities.drawBuffers ) {\n\n\t\t\t\t\tconst textures = renderTarget.texture;\n\n\t\t\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst attachmentProperties = properties.get( textures[ i ] );\n\n\t\t\t\t\t\tif ( attachmentProperties.__webglTexture === undefined ) {\n\n\t\t\t\t\t\t\tattachmentProperties.__webglTexture = _gl.createTexture();\n\n\t\t\t\t\t\t\tinfo.memory.textures ++;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( ( isWebGL2 && renderTarget.samples > 0 ) && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\tconst textures = isMultipleRenderTargets ? texture : [ texture ];\n\n\t\t\t\trenderTargetProperties.__webglMultisampledFramebuffer = _gl.createFramebuffer();\n\t\t\t\trenderTargetProperties.__webglColorRenderbuffer = [];\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tconst texture = textures[ i ];\n\t\t\t\t\trenderTargetProperties.__webglColorRenderbuffer[ i ] = _gl.createRenderbuffer();\n\n\t\t\t\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t\tconst glFormat = utils.convert( texture.format, texture.colorSpace );\n\t\t\t\t\tconst glType = utils.convert( texture.type );\n\t\t\t\t\tconst glInternalFormat = getInternalFormat( texture.internalFormat, glFormat, glType, texture.colorSpace, renderTarget.isXRRenderTarget === true );\n\t\t\t\t\tconst samples = getRenderTargetSamples( renderTarget );\n\t\t\t\t\t_gl.renderbufferStorageMultisample( _gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height );\n\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\t_gl.bindRenderbuffer( _gl.RENDERBUFFER, null );\n\n\t\t\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\t\t\trenderTargetProperties.__webglDepthRenderbuffer = _gl.createRenderbuffer();\n\t\t\t\t\tsetupRenderBufferStorage( renderTargetProperties.__webglDepthRenderbuffer, renderTarget, true );\n\n\t\t\t\t}\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Setup color buffer\n\n\t\tif ( isCube ) {\n\n\t\t\tstate.bindTexture( _gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture );\n\t\t\tsetTextureParameters( _gl.TEXTURE_CUBE_MAP, texture, supportsMips );\n\n\t\t\tfor ( let i = 0; i < 6; i ++ ) {\n\n\t\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ i ][ level ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, level );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ i ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( _gl.TEXTURE_CUBE_MAP );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t} else if ( isMultipleRenderTargets ) {\n\n\t\t\tconst textures = renderTarget.texture;\n\n\t\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\t\tconst attachment = textures[ i ];\n\t\t\t\tconst attachmentProperties = properties.get( attachment );\n\n\t\t\t\tstate.bindTexture( _gl.TEXTURE_2D, attachmentProperties.__webglTexture );\n\t\t\t\tsetTextureParameters( _gl.TEXTURE_2D, attachment, supportsMips );\n\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, attachment, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, 0 );\n\n\t\t\t\tif ( textureNeedsGenerateMipmaps( attachment, supportsMips ) ) {\n\n\t\t\t\t\tgenerateMipmap( _gl.TEXTURE_2D );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t} else {\n\n\t\t\tlet glTextureType = _gl.TEXTURE_2D;\n\n\t\t\tif ( renderTarget.isWebGL3DRenderTarget || renderTarget.isWebGLArrayRenderTarget ) {\n\n\t\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t\tglTextureType = renderTarget.isWebGL3DRenderTarget ? _gl.TEXTURE_3D : _gl.TEXTURE_2D_ARRAY;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( 'THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.' );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindTexture( glTextureType, textureProperties.__webglTexture );\n\t\t\tsetTextureParameters( glTextureType, texture, supportsMips );\n\n\t\t\tif ( isWebGL2 && texture.mipmaps && texture.mipmaps.length > 0 ) {\n\n\t\t\t\tfor ( let level = 0; level < texture.mipmaps.length; level ++ ) {\n\n\t\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer[ level ], renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType, level );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tsetupFrameBufferTexture( renderTargetProperties.__webglFramebuffer, renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType, 0 );\n\n\t\t\t}\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tgenerateMipmap( glTextureType );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t}\n\n\t\t// Setup depth and stencil buffers\n\n\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\tsetupDepthRenderbuffer( renderTarget );\n\n\t\t}\n\n\t}\n\n\tfunction updateRenderTargetMipmap( renderTarget ) {\n\n\t\tconst supportsMips = isPowerOfTwo$1( renderTarget ) || isWebGL2;\n\n\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [ renderTarget.texture ];\n\n\t\tfor ( let i = 0, il = textures.length; i < il; i ++ ) {\n\n\t\t\tconst texture = textures[ i ];\n\n\t\t\tif ( textureNeedsGenerateMipmaps( texture, supportsMips ) ) {\n\n\t\t\t\tconst target = renderTarget.isWebGLCubeRenderTarget ? _gl.TEXTURE_CUBE_MAP : _gl.TEXTURE_2D;\n\t\t\t\tconst webglTexture = properties.get( texture ).__webglTexture;\n\n\t\t\t\tstate.bindTexture( target, webglTexture );\n\t\t\t\tgenerateMipmap( target );\n\t\t\t\tstate.unbindTexture();\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tfunction updateMultisampleRenderTarget( renderTarget ) {\n\n\t\tif ( ( isWebGL2 && renderTarget.samples > 0 ) && useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\tconst textures = renderTarget.isWebGLMultipleRenderTargets ? renderTarget.texture : [ renderTarget.texture ];\n\t\t\tconst width = renderTarget.width;\n\t\t\tconst height = renderTarget.height;\n\t\t\tlet mask = _gl.COLOR_BUFFER_BIT;\n\t\t\tconst invalidationArray = [];\n\t\t\tconst depthStyle = renderTarget.stencilBuffer ? _gl.DEPTH_STENCIL_ATTACHMENT : _gl.DEPTH_ATTACHMENT;\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\tconst isMultipleRenderTargets = ( renderTarget.isWebGLMultipleRenderTargets === true );\n\n\t\t\t// If MRT we need to remove FBO attachments\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, null );\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, null, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.READ_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\n\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\tinvalidationArray.push( _gl.COLOR_ATTACHMENT0 + i );\n\n\t\t\t\tif ( renderTarget.depthBuffer ) {\n\n\t\t\t\t\tinvalidationArray.push( depthStyle );\n\n\t\t\t\t}\n\n\t\t\t\tconst ignoreDepthValues = ( renderTargetProperties.__ignoreDepthValues !== undefined ) ? renderTargetProperties.__ignoreDepthValues : false;\n\n\t\t\t\tif ( ignoreDepthValues === false ) {\n\n\t\t\t\t\tif ( renderTarget.depthBuffer ) mask |= _gl.DEPTH_BUFFER_BIT;\n\t\t\t\t\tif ( renderTarget.stencilBuffer ) mask |= _gl.STENCIL_BUFFER_BIT;\n\n\t\t\t\t}\n\n\t\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.READ_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( ignoreDepthValues === true ) {\n\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.READ_FRAMEBUFFER, [ depthStyle ] );\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.DRAW_FRAMEBUFFER, [ depthStyle ] );\n\n\t\t\t\t}\n\n\t\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\t\tconst webglTexture = properties.get( textures[ i ] ).__webglTexture;\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_2D, webglTexture, 0 );\n\n\t\t\t\t}\n\n\t\t\t\t_gl.blitFramebuffer( 0, 0, width, height, 0, 0, width, height, mask, _gl.NEAREST );\n\n\t\t\t\tif ( supportsInvalidateFramebuffer ) {\n\n\t\t\t\t\t_gl.invalidateFramebuffer( _gl.READ_FRAMEBUFFER, invalidationArray );\n\n\t\t\t\t}\n\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.READ_FRAMEBUFFER, null );\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, null );\n\n\t\t\t// If MRT since pre-blit we removed the FBO we need to reconstruct the attachments\n\t\t\tif ( isMultipleRenderTargets ) {\n\n\t\t\t\tfor ( let i = 0; i < textures.length; i ++ ) {\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\t\t\t\t\t_gl.framebufferRenderbuffer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer[ i ] );\n\n\t\t\t\t\tconst webglTexture = properties.get( textures[ i ] ).__webglTexture;\n\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer );\n\t\t\t\t\t_gl.framebufferTexture2D( _gl.DRAW_FRAMEBUFFER, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D, webglTexture, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tstate.bindFramebuffer( _gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer );\n\n\t\t}\n\n\t}\n\n\tfunction getRenderTargetSamples( renderTarget ) {\n\n\t\treturn Math.min( capabilities.maxSamples, renderTarget.samples );\n\n\t}\n\n\tfunction useMultisampledRTT( renderTarget ) {\n\n\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\treturn isWebGL2 && renderTarget.samples > 0 && extensions.has( 'WEBGL_multisampled_render_to_texture' ) === true && renderTargetProperties.__useRenderToTexture !== false;\n\n\t}\n\n\tfunction updateVideoTexture( texture ) {\n\n\t\tconst frame = info.render.frame;\n\n\t\t// Check the last frame we updated the VideoTexture\n\n\t\tif ( _videoTextures.get( texture ) !== frame ) {\n\n\t\t\t_videoTextures.set( texture, frame );\n\t\t\ttexture.update();\n\n\t\t}\n\n\t}\n\n\tfunction verifyColorSpace( texture, image ) {\n\n\t\tconst colorSpace = texture.colorSpace;\n\t\tconst format = texture.format;\n\t\tconst type = texture.type;\n\n\t\tif ( texture.isCompressedTexture === true || texture.isVideoTexture === true || texture.format === _SRGBAFormat ) return image;\n\n\t\tif ( colorSpace !== LinearSRGBColorSpace && colorSpace !== NoColorSpace ) {\n\n\t\t\t// sRGB\n\n\t\t\tif ( ColorManagement.getTransfer( colorSpace ) === SRGBTransfer ) {\n\n\t\t\t\tif ( isWebGL2 === false ) {\n\n\t\t\t\t\t// in WebGL 1, try to use EXT_sRGB extension and unsized formats\n\n\t\t\t\t\tif ( extensions.has( 'EXT_sRGB' ) === true && format === RGBAFormat ) {\n\n\t\t\t\t\t\ttexture.format = _SRGBAFormat;\n\n\t\t\t\t\t\t// it's not possible to generate mips in WebGL 1 with this extension\n\n\t\t\t\t\t\ttexture.minFilter = LinearFilter;\n\t\t\t\t\t\ttexture.generateMipmaps = false;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// slow fallback (CPU decode)\n\n\t\t\t\t\t\timage = ImageUtils.sRGBToLinear( image );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// in WebGL 2 uncompressed textures can only be sRGB encoded if they have the RGBA8 format\n\n\t\t\t\t\tif ( format !== RGBAFormat || type !== UnsignedByteType ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tconsole.error( 'THREE.WebGLTextures: Unsupported texture color space:', colorSpace );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn image;\n\n\t}\n\n\t//\n\n\tthis.allocateTextureUnit = allocateTextureUnit;\n\tthis.resetTextureUnits = resetTextureUnits;\n\n\tthis.setTexture2D = setTexture2D;\n\tthis.setTexture2DArray = setTexture2DArray;\n\tthis.setTexture3D = setTexture3D;\n\tthis.setTextureCube = setTextureCube;\n\tthis.rebindTextures = rebindTextures;\n\tthis.setupRenderTarget = setupRenderTarget;\n\tthis.updateRenderTargetMipmap = updateRenderTargetMipmap;\n\tthis.updateMultisampleRenderTarget = updateMultisampleRenderTarget;\n\tthis.setupDepthRenderbuffer = setupDepthRenderbuffer;\n\tthis.setupFrameBufferTexture = setupFrameBufferTexture;\n\tthis.useMultisampledRTT = useMultisampledRTT;\n\n}\n\nfunction WebGLUtils( gl, extensions, capabilities ) {\n\n\tconst isWebGL2 = capabilities.isWebGL2;\n\n\tfunction convert( p, colorSpace = NoColorSpace ) {\n\n\t\tlet extension;\n\n\t\tconst transfer = ColorManagement.getTransfer( colorSpace );\n\n\t\tif ( p === UnsignedByteType ) return gl.UNSIGNED_BYTE;\n\t\tif ( p === UnsignedShort4444Type ) return gl.UNSIGNED_SHORT_4_4_4_4;\n\t\tif ( p === UnsignedShort5551Type ) return gl.UNSIGNED_SHORT_5_5_5_1;\n\n\t\tif ( p === ByteType ) return gl.BYTE;\n\t\tif ( p === ShortType ) return gl.SHORT;\n\t\tif ( p === UnsignedShortType ) return gl.UNSIGNED_SHORT;\n\t\tif ( p === IntType ) return gl.INT;\n\t\tif ( p === UnsignedIntType ) return gl.UNSIGNED_INT;\n\t\tif ( p === FloatType ) return gl.FLOAT;\n\n\t\tif ( p === HalfFloatType ) {\n\n\t\t\tif ( isWebGL2 ) return gl.HALF_FLOAT;\n\n\t\t\textension = extensions.get( 'OES_texture_half_float' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.HALF_FLOAT_OES;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( p === AlphaFormat ) return gl.ALPHA;\n\t\tif ( p === RGBAFormat ) return gl.RGBA;\n\t\tif ( p === LuminanceFormat ) return gl.LUMINANCE;\n\t\tif ( p === LuminanceAlphaFormat ) return gl.LUMINANCE_ALPHA;\n\t\tif ( p === DepthFormat ) return gl.DEPTH_COMPONENT;\n\t\tif ( p === DepthStencilFormat ) return gl.DEPTH_STENCIL;\n\n\t\t// WebGL 1 sRGB fallback\n\n\t\tif ( p === _SRGBAFormat ) {\n\n\t\t\textension = extensions.get( 'EXT_sRGB' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.SRGB_ALPHA_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// WebGL2 formats.\n\n\t\tif ( p === RedFormat ) return gl.RED;\n\t\tif ( p === RedIntegerFormat ) return gl.RED_INTEGER;\n\t\tif ( p === RGFormat ) return gl.RG;\n\t\tif ( p === RGIntegerFormat ) return gl.RG_INTEGER;\n\t\tif ( p === RGBAIntegerFormat ) return gl.RGBA_INTEGER;\n\n\t\t// S3TC\n\n\t\tif ( p === RGB_S3TC_DXT1_Format || p === RGBA_S3TC_DXT1_Format || p === RGBA_S3TC_DXT3_Format || p === RGBA_S3TC_DXT5_Format ) {\n\n\t\t\tif ( transfer === SRGBTransfer ) {\n\n\t\t\t\textension = extensions.get( 'WEBGL_compressed_texture_s3tc_srgb' );\n\n\t\t\t\tif ( extension !== null ) {\n\n\t\t\t\t\tif ( p === RGB_S3TC_DXT1_Format ) return extension.COMPRESSED_SRGB_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT1_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT3_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT5_Format ) return extension.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\textension = extensions.get( 'WEBGL_compressed_texture_s3tc' );\n\n\t\t\t\tif ( extension !== null ) {\n\n\t\t\t\t\tif ( p === RGB_S3TC_DXT1_Format ) return extension.COMPRESSED_RGB_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT1_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT1_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT3_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT3_EXT;\n\t\t\t\t\tif ( p === RGBA_S3TC_DXT5_Format ) return extension.COMPRESSED_RGBA_S3TC_DXT5_EXT;\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// PVRTC\n\n\t\tif ( p === RGB_PVRTC_4BPPV1_Format || p === RGB_PVRTC_2BPPV1_Format || p === RGBA_PVRTC_4BPPV1_Format || p === RGBA_PVRTC_2BPPV1_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_pvrtc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGB_PVRTC_4BPPV1_Format ) return extension.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;\n\t\t\t\tif ( p === RGB_PVRTC_2BPPV1_Format ) return extension.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;\n\t\t\t\tif ( p === RGBA_PVRTC_4BPPV1_Format ) return extension.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;\n\t\t\t\tif ( p === RGBA_PVRTC_2BPPV1_Format ) return extension.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ETC1\n\n\t\tif ( p === RGB_ETC1_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_etc1' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.COMPRESSED_RGB_ETC1_WEBGL;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ETC2\n\n\t\tif ( p === RGB_ETC2_Format || p === RGBA_ETC2_EAC_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_etc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGB_ETC2_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ETC2 : extension.COMPRESSED_RGB8_ETC2;\n\t\t\t\tif ( p === RGBA_ETC2_EAC_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC : extension.COMPRESSED_RGBA8_ETC2_EAC;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ASTC\n\n\t\tif ( p === RGBA_ASTC_4x4_Format || p === RGBA_ASTC_5x4_Format || p === RGBA_ASTC_5x5_Format ||\n\t\t\tp === RGBA_ASTC_6x5_Format || p === RGBA_ASTC_6x6_Format || p === RGBA_ASTC_8x5_Format ||\n\t\t\tp === RGBA_ASTC_8x6_Format || p === RGBA_ASTC_8x8_Format || p === RGBA_ASTC_10x5_Format ||\n\t\t\tp === RGBA_ASTC_10x6_Format || p === RGBA_ASTC_10x8_Format || p === RGBA_ASTC_10x10_Format ||\n\t\t\tp === RGBA_ASTC_12x10_Format || p === RGBA_ASTC_12x12_Format ) {\n\n\t\t\textension = extensions.get( 'WEBGL_compressed_texture_astc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_ASTC_4x4_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR : extension.COMPRESSED_RGBA_ASTC_4x4_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_5x4_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR : extension.COMPRESSED_RGBA_ASTC_5x4_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_5x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR : extension.COMPRESSED_RGBA_ASTC_5x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_6x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR : extension.COMPRESSED_RGBA_ASTC_6x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_6x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR : extension.COMPRESSED_RGBA_ASTC_6x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR : extension.COMPRESSED_RGBA_ASTC_8x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR : extension.COMPRESSED_RGBA_ASTC_8x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_8x8_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR : extension.COMPRESSED_RGBA_ASTC_8x8_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x5_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR : extension.COMPRESSED_RGBA_ASTC_10x5_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x6_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR : extension.COMPRESSED_RGBA_ASTC_10x6_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x8_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR : extension.COMPRESSED_RGBA_ASTC_10x8_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_10x10_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR : extension.COMPRESSED_RGBA_ASTC_10x10_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_12x10_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR : extension.COMPRESSED_RGBA_ASTC_12x10_KHR;\n\t\t\t\tif ( p === RGBA_ASTC_12x12_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR : extension.COMPRESSED_RGBA_ASTC_12x12_KHR;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// BPTC\n\n\t\tif ( p === RGBA_BPTC_Format || p === RGB_BPTC_SIGNED_Format || p === RGB_BPTC_UNSIGNED_Format ) {\n\n\t\t\textension = extensions.get( 'EXT_texture_compression_bptc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_BPTC_Format ) return ( transfer === SRGBTransfer ) ? extension.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT : extension.COMPRESSED_RGBA_BPTC_UNORM_EXT;\n\t\t\t\tif ( p === RGB_BPTC_SIGNED_Format ) return extension.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT;\n\t\t\t\tif ( p === RGB_BPTC_UNSIGNED_Format ) return extension.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// RGTC\n\n\t\tif ( p === RED_RGTC1_Format || p === SIGNED_RED_RGTC1_Format || p === RED_GREEN_RGTC2_Format || p === SIGNED_RED_GREEN_RGTC2_Format ) {\n\n\t\t\textension = extensions.get( 'EXT_texture_compression_rgtc' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\tif ( p === RGBA_BPTC_Format ) return extension.COMPRESSED_RED_RGTC1_EXT;\n\t\t\t\tif ( p === SIGNED_RED_RGTC1_Format ) return extension.COMPRESSED_SIGNED_RED_RGTC1_EXT;\n\t\t\t\tif ( p === RED_GREEN_RGTC2_Format ) return extension.COMPRESSED_RED_GREEN_RGTC2_EXT;\n\t\t\t\tif ( p === SIGNED_RED_GREEN_RGTC2_Format ) return extension.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tif ( p === UnsignedInt248Type ) {\n\n\t\t\tif ( isWebGL2 ) return gl.UNSIGNED_INT_24_8;\n\n\t\t\textension = extensions.get( 'WEBGL_depth_texture' );\n\n\t\t\tif ( extension !== null ) {\n\n\t\t\t\treturn extension.UNSIGNED_INT_24_8_WEBGL;\n\n\t\t\t} else {\n\n\t\t\t\treturn null;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// if \"p\" can't be resolved, assume the user defines a WebGL constant as a string (fallback/workaround for packed RGB formats)\n\n\t\treturn ( gl[ p ] !== undefined ) ? gl[ p ] : null;\n\n\t}\n\n\treturn { convert: convert };\n\n}\n\nclass ArrayCamera extends PerspectiveCamera {\n\n\tconstructor( array = [] ) {\n\n\t\tsuper();\n\n\t\tthis.isArrayCamera = true;\n\n\t\tthis.cameras = array;\n\n\t}\n\n}\n\nclass Group extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isGroup = true;\n\n\t\tthis.type = 'Group';\n\n\t}\n\n}\n\nconst _moveEvent = { type: 'move' };\n\nclass WebXRController {\n\n\tconstructor() {\n\n\t\tthis._targetRay = null;\n\t\tthis._grip = null;\n\t\tthis._hand = null;\n\n\t}\n\n\tgetHandSpace() {\n\n\t\tif ( this._hand === null ) {\n\n\t\t\tthis._hand = new Group();\n\t\t\tthis._hand.matrixAutoUpdate = false;\n\t\t\tthis._hand.visible = false;\n\n\t\t\tthis._hand.joints = {};\n\t\t\tthis._hand.inputState = { pinching: false };\n\n\t\t}\n\n\t\treturn this._hand;\n\n\t}\n\n\tgetTargetRaySpace() {\n\n\t\tif ( this._targetRay === null ) {\n\n\t\t\tthis._targetRay = new Group();\n\t\t\tthis._targetRay.matrixAutoUpdate = false;\n\t\t\tthis._targetRay.visible = false;\n\t\t\tthis._targetRay.hasLinearVelocity = false;\n\t\t\tthis._targetRay.linearVelocity = new Vector3();\n\t\t\tthis._targetRay.hasAngularVelocity = false;\n\t\t\tthis._targetRay.angularVelocity = new Vector3();\n\n\t\t}\n\n\t\treturn this._targetRay;\n\n\t}\n\n\tgetGripSpace() {\n\n\t\tif ( this._grip === null ) {\n\n\t\t\tthis._grip = new Group();\n\t\t\tthis._grip.matrixAutoUpdate = false;\n\t\t\tthis._grip.visible = false;\n\t\t\tthis._grip.hasLinearVelocity = false;\n\t\t\tthis._grip.linearVelocity = new Vector3();\n\t\t\tthis._grip.hasAngularVelocity = false;\n\t\t\tthis._grip.angularVelocity = new Vector3();\n\n\t\t}\n\n\t\treturn this._grip;\n\n\t}\n\n\tdispatchEvent( event ) {\n\n\t\tif ( this._targetRay !== null ) {\n\n\t\t\tthis._targetRay.dispatchEvent( event );\n\n\t\t}\n\n\t\tif ( this._grip !== null ) {\n\n\t\t\tthis._grip.dispatchEvent( event );\n\n\t\t}\n\n\t\tif ( this._hand !== null ) {\n\n\t\t\tthis._hand.dispatchEvent( event );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tconnect( inputSource ) {\n\n\t\tif ( inputSource && inputSource.hand ) {\n\n\t\t\tconst hand = this._hand;\n\n\t\t\tif ( hand ) {\n\n\t\t\t\tfor ( const inputjoint of inputSource.hand.values() ) {\n\n\t\t\t\t\t// Initialize hand with joints when connected\n\t\t\t\t\tthis._getHandJoint( hand, inputjoint );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.dispatchEvent( { type: 'connected', data: inputSource } );\n\n\t\treturn this;\n\n\t}\n\n\tdisconnect( inputSource ) {\n\n\t\tthis.dispatchEvent( { type: 'disconnected', data: inputSource } );\n\n\t\tif ( this._targetRay !== null ) {\n\n\t\t\tthis._targetRay.visible = false;\n\n\t\t}\n\n\t\tif ( this._grip !== null ) {\n\n\t\t\tthis._grip.visible = false;\n\n\t\t}\n\n\t\tif ( this._hand !== null ) {\n\n\t\t\tthis._hand.visible = false;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tupdate( inputSource, frame, referenceSpace ) {\n\n\t\tlet inputPose = null;\n\t\tlet gripPose = null;\n\t\tlet handPose = null;\n\n\t\tconst targetRay = this._targetRay;\n\t\tconst grip = this._grip;\n\t\tconst hand = this._hand;\n\n\t\tif ( inputSource && frame.session.visibilityState !== 'visible-blurred' ) {\n\n\t\t\tif ( hand && inputSource.hand ) {\n\n\t\t\t\thandPose = true;\n\n\t\t\t\tfor ( const inputjoint of inputSource.hand.values() ) {\n\n\t\t\t\t\t// Update the joints groups with the XRJoint poses\n\t\t\t\t\tconst jointPose = frame.getJointPose( inputjoint, referenceSpace );\n\n\t\t\t\t\t// The transform of this joint will be updated with the joint pose on each frame\n\t\t\t\t\tconst joint = this._getHandJoint( hand, inputjoint );\n\n\t\t\t\t\tif ( jointPose !== null ) {\n\n\t\t\t\t\t\tjoint.matrix.fromArray( jointPose.transform.matrix );\n\t\t\t\t\t\tjoint.matrix.decompose( joint.position, joint.rotation, joint.scale );\n\t\t\t\t\t\tjoint.matrixWorldNeedsUpdate = true;\n\t\t\t\t\t\tjoint.jointRadius = jointPose.radius;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tjoint.visible = jointPose !== null;\n\n\t\t\t\t}\n\n\t\t\t\t// Custom events\n\n\t\t\t\t// Check pinchz\n\t\t\t\tconst indexTip = hand.joints[ 'index-finger-tip' ];\n\t\t\t\tconst thumbTip = hand.joints[ 'thumb-tip' ];\n\t\t\t\tconst distance = indexTip.position.distanceTo( thumbTip.position );\n\n\t\t\t\tconst distanceToPinch = 0.02;\n\t\t\t\tconst threshold = 0.005;\n\n\t\t\t\tif ( hand.inputState.pinching && distance > distanceToPinch + threshold ) {\n\n\t\t\t\t\thand.inputState.pinching = false;\n\t\t\t\t\tthis.dispatchEvent( {\n\t\t\t\t\t\ttype: 'pinchend',\n\t\t\t\t\t\thandedness: inputSource.handedness,\n\t\t\t\t\t\ttarget: this\n\t\t\t\t\t} );\n\n\t\t\t\t} else if ( ! hand.inputState.pinching && distance <= distanceToPinch - threshold ) {\n\n\t\t\t\t\thand.inputState.pinching = true;\n\t\t\t\t\tthis.dispatchEvent( {\n\t\t\t\t\t\ttype: 'pinchstart',\n\t\t\t\t\t\thandedness: inputSource.handedness,\n\t\t\t\t\t\ttarget: this\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( grip !== null && inputSource.gripSpace ) {\n\n\t\t\t\t\tgripPose = frame.getPose( inputSource.gripSpace, referenceSpace );\n\n\t\t\t\t\tif ( gripPose !== null ) {\n\n\t\t\t\t\t\tgrip.matrix.fromArray( gripPose.transform.matrix );\n\t\t\t\t\t\tgrip.matrix.decompose( grip.position, grip.rotation, grip.scale );\n\t\t\t\t\t\tgrip.matrixWorldNeedsUpdate = true;\n\n\t\t\t\t\t\tif ( gripPose.linearVelocity ) {\n\n\t\t\t\t\t\t\tgrip.hasLinearVelocity = true;\n\t\t\t\t\t\t\tgrip.linearVelocity.copy( gripPose.linearVelocity );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tgrip.hasLinearVelocity = false;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( gripPose.angularVelocity ) {\n\n\t\t\t\t\t\t\tgrip.hasAngularVelocity = true;\n\t\t\t\t\t\t\tgrip.angularVelocity.copy( gripPose.angularVelocity );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tgrip.hasAngularVelocity = false;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( targetRay !== null ) {\n\n\t\t\t\tinputPose = frame.getPose( inputSource.targetRaySpace, referenceSpace );\n\n\t\t\t\t// Some runtimes (namely Vive Cosmos with Vive OpenXR Runtime) have only grip space and ray space is equal to it\n\t\t\t\tif ( inputPose === null && gripPose !== null ) {\n\n\t\t\t\t\tinputPose = gripPose;\n\n\t\t\t\t}\n\n\t\t\t\tif ( inputPose !== null ) {\n\n\t\t\t\t\ttargetRay.matrix.fromArray( inputPose.transform.matrix );\n\t\t\t\t\ttargetRay.matrix.decompose( targetRay.position, targetRay.rotation, targetRay.scale );\n\t\t\t\t\ttargetRay.matrixWorldNeedsUpdate = true;\n\n\t\t\t\t\tif ( inputPose.linearVelocity ) {\n\n\t\t\t\t\t\ttargetRay.hasLinearVelocity = true;\n\t\t\t\t\t\ttargetRay.linearVelocity.copy( inputPose.linearVelocity );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttargetRay.hasLinearVelocity = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( inputPose.angularVelocity ) {\n\n\t\t\t\t\t\ttargetRay.hasAngularVelocity = true;\n\t\t\t\t\t\ttargetRay.angularVelocity.copy( inputPose.angularVelocity );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttargetRay.hasAngularVelocity = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tthis.dispatchEvent( _moveEvent );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t}\n\n\t\tif ( targetRay !== null ) {\n\n\t\t\ttargetRay.visible = ( inputPose !== null );\n\n\t\t}\n\n\t\tif ( grip !== null ) {\n\n\t\t\tgrip.visible = ( gripPose !== null );\n\n\t\t}\n\n\t\tif ( hand !== null ) {\n\n\t\t\thand.visible = ( handPose !== null );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// private method\n\n\t_getHandJoint( hand, inputjoint ) {\n\n\t\tif ( hand.joints[ inputjoint.jointName ] === undefined ) {\n\n\t\t\tconst joint = new Group();\n\t\t\tjoint.matrixAutoUpdate = false;\n\t\t\tjoint.visible = false;\n\t\t\thand.joints[ inputjoint.jointName ] = joint;\n\n\t\t\thand.add( joint );\n\n\t\t}\n\n\t\treturn hand.joints[ inputjoint.jointName ];\n\n\t}\n\n}\n\nclass WebXRManager extends EventDispatcher {\n\n\tconstructor( renderer, gl ) {\n\n\t\tsuper();\n\n\t\tconst scope = this;\n\n\t\tlet session = null;\n\n\t\tlet framebufferScaleFactor = 1.0;\n\n\t\tlet referenceSpace = null;\n\t\tlet referenceSpaceType = 'local-floor';\n\t\t// Set default foveation to maximum.\n\t\tlet foveation = 1.0;\n\t\tlet customReferenceSpace = null;\n\n\t\tlet pose = null;\n\t\tlet glBinding = null;\n\t\tlet glProjLayer = null;\n\t\tlet glBaseLayer = null;\n\t\tlet xrFrame = null;\n\t\tconst attributes = gl.getContextAttributes();\n\t\tlet initialRenderTarget = null;\n\t\tlet newRenderTarget = null;\n\n\t\tconst controllers = [];\n\t\tconst controllerInputSources = [];\n\n\t\tconst currentSize = new Vector2();\n\t\tlet currentPixelRatio = null;\n\n\t\t//\n\n\t\tconst cameraL = new PerspectiveCamera();\n\t\tcameraL.layers.enable( 1 );\n\t\tcameraL.viewport = new Vector4();\n\n\t\tconst cameraR = new PerspectiveCamera();\n\t\tcameraR.layers.enable( 2 );\n\t\tcameraR.viewport = new Vector4();\n\n\t\tconst cameras = [ cameraL, cameraR ];\n\n\t\tconst cameraXR = new ArrayCamera();\n\t\tcameraXR.layers.enable( 1 );\n\t\tcameraXR.layers.enable( 2 );\n\n\t\tlet _currentDepthNear = null;\n\t\tlet _currentDepthFar = null;\n\n\t\t//\n\n\t\tthis.cameraAutoUpdate = true;\n\t\tthis.enabled = false;\n\n\t\tthis.isPresenting = false;\n\n\t\tthis.getController = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getTargetRaySpace();\n\n\t\t};\n\n\t\tthis.getControllerGrip = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getGripSpace();\n\n\t\t};\n\n\t\tthis.getHand = function ( index ) {\n\n\t\t\tlet controller = controllers[ index ];\n\n\t\t\tif ( controller === undefined ) {\n\n\t\t\t\tcontroller = new WebXRController();\n\t\t\t\tcontrollers[ index ] = controller;\n\n\t\t\t}\n\n\t\t\treturn controller.getHandSpace();\n\n\t\t};\n\n\t\t//\n\n\t\tfunction onSessionEvent( event ) {\n\n\t\t\tconst controllerIndex = controllerInputSources.indexOf( event.inputSource );\n\n\t\t\tif ( controllerIndex === - 1 ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst controller = controllers[ controllerIndex ];\n\n\t\t\tif ( controller !== undefined ) {\n\n\t\t\t\tcontroller.update( event.inputSource, event.frame, customReferenceSpace || referenceSpace );\n\t\t\t\tcontroller.dispatchEvent( { type: event.type, data: event.inputSource } );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onSessionEnd() {\n\n\t\t\tsession.removeEventListener( 'select', onSessionEvent );\n\t\t\tsession.removeEventListener( 'selectstart', onSessionEvent );\n\t\t\tsession.removeEventListener( 'selectend', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeeze', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeezestart', onSessionEvent );\n\t\t\tsession.removeEventListener( 'squeezeend', onSessionEvent );\n\t\t\tsession.removeEventListener( 'end', onSessionEnd );\n\t\t\tsession.removeEventListener( 'inputsourceschange', onInputSourcesChange );\n\n\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\tconst inputSource = controllerInputSources[ i ];\n\n\t\t\t\tif ( inputSource === null ) continue;\n\n\t\t\t\tcontrollerInputSources[ i ] = null;\n\n\t\t\t\tcontrollers[ i ].disconnect( inputSource );\n\n\t\t\t}\n\n\t\t\t_currentDepthNear = null;\n\t\t\t_currentDepthFar = null;\n\n\t\t\t// restore framebuffer/rendering state\n\n\t\t\trenderer.setRenderTarget( initialRenderTarget );\n\n\t\t\tglBaseLayer = null;\n\t\t\tglProjLayer = null;\n\t\t\tglBinding = null;\n\t\t\tsession = null;\n\t\t\tnewRenderTarget = null;\n\n\t\t\t//\n\n\t\t\tanimation.stop();\n\n\t\t\tscope.isPresenting = false;\n\n\t\t\trenderer.setPixelRatio( currentPixelRatio );\n\t\t\trenderer.setSize( currentSize.width, currentSize.height, false );\n\n\t\t\tscope.dispatchEvent( { type: 'sessionend' } );\n\n\t\t}\n\n\t\tthis.setFramebufferScaleFactor = function ( value ) {\n\n\t\t\tframebufferScaleFactor = value;\n\n\t\t\tif ( scope.isPresenting === true ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebXRManager: Cannot change framebuffer scale while presenting.' );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.setReferenceSpaceType = function ( value ) {\n\n\t\t\treferenceSpaceType = value;\n\n\t\t\tif ( scope.isPresenting === true ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebXRManager: Cannot change reference space type while presenting.' );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.getReferenceSpace = function () {\n\n\t\t\treturn customReferenceSpace || referenceSpace;\n\n\t\t};\n\n\t\tthis.setReferenceSpace = function ( space ) {\n\n\t\t\tcustomReferenceSpace = space;\n\n\t\t};\n\n\t\tthis.getBaseLayer = function () {\n\n\t\t\treturn glProjLayer !== null ? glProjLayer : glBaseLayer;\n\n\t\t};\n\n\t\tthis.getBinding = function () {\n\n\t\t\treturn glBinding;\n\n\t\t};\n\n\t\tthis.getFrame = function () {\n\n\t\t\treturn xrFrame;\n\n\t\t};\n\n\t\tthis.getSession = function () {\n\n\t\t\treturn session;\n\n\t\t};\n\n\t\tthis.setSession = async function ( value ) {\n\n\t\t\tsession = value;\n\n\t\t\tif ( session !== null ) {\n\n\t\t\t\tinitialRenderTarget = renderer.getRenderTarget();\n\n\t\t\t\tsession.addEventListener( 'select', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'selectstart', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'selectend', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeeze', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeezestart', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'squeezeend', onSessionEvent );\n\t\t\t\tsession.addEventListener( 'end', onSessionEnd );\n\t\t\t\tsession.addEventListener( 'inputsourceschange', onInputSourcesChange );\n\n\t\t\t\tif ( attributes.xrCompatible !== true ) {\n\n\t\t\t\t\tawait gl.makeXRCompatible();\n\n\t\t\t\t}\n\n\t\t\t\tcurrentPixelRatio = renderer.getPixelRatio();\n\t\t\t\trenderer.getSize( currentSize );\n\n\t\t\t\tif ( ( session.renderState.layers === undefined ) || ( renderer.capabilities.isWebGL2 === false ) ) {\n\n\t\t\t\t\tconst layerInit = {\n\t\t\t\t\t\tantialias: ( session.renderState.layers === undefined ) ? attributes.antialias : true,\n\t\t\t\t\t\talpha: true,\n\t\t\t\t\t\tdepth: attributes.depth,\n\t\t\t\t\t\tstencil: attributes.stencil,\n\t\t\t\t\t\tframebufferScaleFactor: framebufferScaleFactor\n\t\t\t\t\t};\n\n\t\t\t\t\tglBaseLayer = new XRWebGLLayer( session, gl, layerInit );\n\n\t\t\t\t\tsession.updateRenderState( { baseLayer: glBaseLayer } );\n\n\t\t\t\t\trenderer.setPixelRatio( 1 );\n\t\t\t\t\trenderer.setSize( glBaseLayer.framebufferWidth, glBaseLayer.framebufferHeight, false );\n\n\t\t\t\t\tnewRenderTarget = new WebGLRenderTarget(\n\t\t\t\t\t\tglBaseLayer.framebufferWidth,\n\t\t\t\t\t\tglBaseLayer.framebufferHeight,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tformat: RGBAFormat,\n\t\t\t\t\t\t\ttype: UnsignedByteType,\n\t\t\t\t\t\t\tcolorSpace: renderer.outputColorSpace,\n\t\t\t\t\t\t\tstencilBuffer: attributes.stencil\n\t\t\t\t\t\t}\n\t\t\t\t\t);\n\n\t\t\t\t} else {\n\n\t\t\t\t\tlet depthFormat = null;\n\t\t\t\t\tlet depthType = null;\n\t\t\t\t\tlet glDepthFormat = null;\n\n\t\t\t\t\tif ( attributes.depth ) {\n\n\t\t\t\t\t\tglDepthFormat = attributes.stencil ? gl.DEPTH24_STENCIL8 : gl.DEPTH_COMPONENT24;\n\t\t\t\t\t\tdepthFormat = attributes.stencil ? DepthStencilFormat : DepthFormat;\n\t\t\t\t\t\tdepthType = attributes.stencil ? UnsignedInt248Type : UnsignedIntType;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst projectionlayerInit = {\n\t\t\t\t\t\tcolorFormat: gl.RGBA8,\n\t\t\t\t\t\tdepthFormat: glDepthFormat,\n\t\t\t\t\t\tscaleFactor: framebufferScaleFactor\n\t\t\t\t\t};\n\n\t\t\t\t\tglBinding = new XRWebGLBinding( session, gl );\n\n\t\t\t\t\tglProjLayer = glBinding.createProjectionLayer( projectionlayerInit );\n\n\t\t\t\t\tsession.updateRenderState( { layers: [ glProjLayer ] } );\n\n\t\t\t\t\trenderer.setPixelRatio( 1 );\n\t\t\t\t\trenderer.setSize( glProjLayer.textureWidth, glProjLayer.textureHeight, false );\n\n\t\t\t\t\tnewRenderTarget = new WebGLRenderTarget(\n\t\t\t\t\t\tglProjLayer.textureWidth,\n\t\t\t\t\t\tglProjLayer.textureHeight,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tformat: RGBAFormat,\n\t\t\t\t\t\t\ttype: UnsignedByteType,\n\t\t\t\t\t\t\tdepthTexture: new DepthTexture( glProjLayer.textureWidth, glProjLayer.textureHeight, depthType, undefined, undefined, undefined, undefined, undefined, undefined, depthFormat ),\n\t\t\t\t\t\t\tstencilBuffer: attributes.stencil,\n\t\t\t\t\t\t\tcolorSpace: renderer.outputColorSpace,\n\t\t\t\t\t\t\tsamples: attributes.antialias ? 4 : 0\n\t\t\t\t\t\t} );\n\n\t\t\t\t\tconst renderTargetProperties = renderer.properties.get( newRenderTarget );\n\t\t\t\t\trenderTargetProperties.__ignoreDepthValues = glProjLayer.ignoreDepthValues;\n\n\t\t\t\t}\n\n\t\t\t\tnewRenderTarget.isXRRenderTarget = true; // TODO Remove this when possible, see #23278\n\n\t\t\t\tthis.setFoveation( foveation );\n\n\t\t\t\tcustomReferenceSpace = null;\n\t\t\t\treferenceSpace = await session.requestReferenceSpace( referenceSpaceType );\n\n\t\t\t\tanimation.setContext( session );\n\t\t\t\tanimation.start();\n\n\t\t\t\tscope.isPresenting = true;\n\n\t\t\t\tscope.dispatchEvent( { type: 'sessionstart' } );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.getEnvironmentBlendMode = function () {\n\n\t\t\tif ( session !== null ) {\n\n\t\t\t\treturn session.environmentBlendMode;\n\n\t\t\t}\n\n\t\t};\n\n\t\tfunction onInputSourcesChange( event ) {\n\n\t\t\t// Notify disconnected\n\n\t\t\tfor ( let i = 0; i < event.removed.length; i ++ ) {\n\n\t\t\t\tconst inputSource = event.removed[ i ];\n\t\t\t\tconst index = controllerInputSources.indexOf( inputSource );\n\n\t\t\t\tif ( index >= 0 ) {\n\n\t\t\t\t\tcontrollerInputSources[ index ] = null;\n\t\t\t\t\tcontrollers[ index ].disconnect( inputSource );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Notify connected\n\n\t\t\tfor ( let i = 0; i < event.added.length; i ++ ) {\n\n\t\t\t\tconst inputSource = event.added[ i ];\n\n\t\t\t\tlet controllerIndex = controllerInputSources.indexOf( inputSource );\n\n\t\t\t\tif ( controllerIndex === - 1 ) {\n\n\t\t\t\t\t// Assign input source a controller that currently has no input source\n\n\t\t\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\t\t\tif ( i >= controllerInputSources.length ) {\n\n\t\t\t\t\t\t\tcontrollerInputSources.push( inputSource );\n\t\t\t\t\t\t\tcontrollerIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t} else if ( controllerInputSources[ i ] === null ) {\n\n\t\t\t\t\t\t\tcontrollerInputSources[ i ] = inputSource;\n\t\t\t\t\t\t\tcontrollerIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// If all controllers do currently receive input we ignore new ones\n\n\t\t\t\t\tif ( controllerIndex === - 1 ) break;\n\n\t\t\t\t}\n\n\t\t\t\tconst controller = controllers[ controllerIndex ];\n\n\t\t\t\tif ( controller ) {\n\n\t\t\t\t\tcontroller.connect( inputSource );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t//\n\n\t\tconst cameraLPos = new Vector3();\n\t\tconst cameraRPos = new Vector3();\n\n\t\t/**\n\t\t * Assumes 2 cameras that are parallel and share an X-axis, and that\n\t\t * the cameras' projection and world matrices have already been set.\n\t\t * And that near and far planes are identical for both cameras.\n\t\t * Visualization of this technique: https://computergraphics.stackexchange.com/a/4765\n\t\t */\n\t\tfunction setProjectionFromUnion( camera, cameraL, cameraR ) {\n\n\t\t\tcameraLPos.setFromMatrixPosition( cameraL.matrixWorld );\n\t\t\tcameraRPos.setFromMatrixPosition( cameraR.matrixWorld );\n\n\t\t\tconst ipd = cameraLPos.distanceTo( cameraRPos );\n\n\t\t\tconst projL = cameraL.projectionMatrix.elements;\n\t\t\tconst projR = cameraR.projectionMatrix.elements;\n\n\t\t\t// VR systems will have identical far and near planes, and\n\t\t\t// most likely identical top and bottom frustum extents.\n\t\t\t// Use the left camera for these values.\n\t\t\tconst near = projL[ 14 ] / ( projL[ 10 ] - 1 );\n\t\t\tconst far = projL[ 14 ] / ( projL[ 10 ] + 1 );\n\t\t\tconst topFov = ( projL[ 9 ] + 1 ) / projL[ 5 ];\n\t\t\tconst bottomFov = ( projL[ 9 ] - 1 ) / projL[ 5 ];\n\n\t\t\tconst leftFov = ( projL[ 8 ] - 1 ) / projL[ 0 ];\n\t\t\tconst rightFov = ( projR[ 8 ] + 1 ) / projR[ 0 ];\n\t\t\tconst left = near * leftFov;\n\t\t\tconst right = near * rightFov;\n\n\t\t\t// Calculate the new camera's position offset from the\n\t\t\t// left camera. xOffset should be roughly half `ipd`.\n\t\t\tconst zOffset = ipd / ( - leftFov + rightFov );\n\t\t\tconst xOffset = zOffset * - leftFov;\n\n\t\t\t// TODO: Better way to apply this offset?\n\t\t\tcameraL.matrixWorld.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.translateX( xOffset );\n\t\t\tcamera.translateZ( zOffset );\n\t\t\tcamera.matrixWorld.compose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.matrixWorldInverse.copy( camera.matrixWorld ).invert();\n\n\t\t\t// Find the union of the frustum values of the cameras and scale\n\t\t\t// the values so that the near plane's position does not change in world space,\n\t\t\t// although must now be relative to the new union camera.\n\t\t\tconst near2 = near + zOffset;\n\t\t\tconst far2 = far + zOffset;\n\t\t\tconst left2 = left - xOffset;\n\t\t\tconst right2 = right + ( ipd - xOffset );\n\t\t\tconst top2 = topFov * far / far2 * near2;\n\t\t\tconst bottom2 = bottomFov * far / far2 * near2;\n\n\t\t\tcamera.projectionMatrix.makePerspective( left2, right2, top2, bottom2, near2, far2 );\n\t\t\tcamera.projectionMatrixInverse.copy( camera.projectionMatrix ).invert();\n\n\t\t}\n\n\t\tfunction updateCamera( camera, parent ) {\n\n\t\t\tif ( parent === null ) {\n\n\t\t\t\tcamera.matrixWorld.copy( camera.matrix );\n\n\t\t\t} else {\n\n\t\t\t\tcamera.matrixWorld.multiplyMatrices( parent.matrixWorld, camera.matrix );\n\n\t\t\t}\n\n\t\t\tcamera.matrixWorldInverse.copy( camera.matrixWorld ).invert();\n\n\t\t}\n\n\t\tthis.updateCamera = function ( camera ) {\n\n\t\t\tif ( session === null ) return;\n\n\t\t\tcameraXR.near = cameraR.near = cameraL.near = camera.near;\n\t\t\tcameraXR.far = cameraR.far = cameraL.far = camera.far;\n\n\t\t\tif ( _currentDepthNear !== cameraXR.near || _currentDepthFar !== cameraXR.far ) {\n\n\t\t\t\t// Note that the new renderState won't apply until the next frame. See #18320\n\n\t\t\t\tsession.updateRenderState( {\n\t\t\t\t\tdepthNear: cameraXR.near,\n\t\t\t\t\tdepthFar: cameraXR.far\n\t\t\t\t} );\n\n\t\t\t\t_currentDepthNear = cameraXR.near;\n\t\t\t\t_currentDepthFar = cameraXR.far;\n\n\t\t\t}\n\n\t\t\tconst parent = camera.parent;\n\t\t\tconst cameras = cameraXR.cameras;\n\n\t\t\tupdateCamera( cameraXR, parent );\n\n\t\t\tfor ( let i = 0; i < cameras.length; i ++ ) {\n\n\t\t\t\tupdateCamera( cameras[ i ], parent );\n\n\t\t\t}\n\n\t\t\t// update projection matrix for proper view frustum culling\n\n\t\t\tif ( cameras.length === 2 ) {\n\n\t\t\t\tsetProjectionFromUnion( cameraXR, cameraL, cameraR );\n\n\t\t\t} else {\n\n\t\t\t\t// assume single camera setup (AR)\n\n\t\t\t\tcameraXR.projectionMatrix.copy( cameraL.projectionMatrix );\n\n\t\t\t}\n\n\t\t\t// update user camera and its children\n\n\t\t\tupdateUserCamera( camera, cameraXR, parent );\n\n\t\t};\n\n\t\tfunction updateUserCamera( camera, cameraXR, parent ) {\n\n\t\t\tif ( parent === null ) {\n\n\t\t\t\tcamera.matrix.copy( cameraXR.matrixWorld );\n\n\t\t\t} else {\n\n\t\t\t\tcamera.matrix.copy( parent.matrixWorld );\n\t\t\t\tcamera.matrix.invert();\n\t\t\t\tcamera.matrix.multiply( cameraXR.matrixWorld );\n\n\t\t\t}\n\n\t\t\tcamera.matrix.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\tcamera.updateMatrixWorld( true );\n\n\t\t\tcamera.projectionMatrix.copy( cameraXR.projectionMatrix );\n\t\t\tcamera.projectionMatrixInverse.copy( cameraXR.projectionMatrixInverse );\n\n\t\t\tif ( camera.isPerspectiveCamera ) {\n\n\t\t\t\tcamera.fov = RAD2DEG * 2 * Math.atan( 1 / camera.projectionMatrix.elements[ 5 ] );\n\t\t\t\tcamera.zoom = 1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.getCamera = function () {\n\n\t\t\treturn cameraXR;\n\n\t\t};\n\n\t\tthis.getFoveation = function () {\n\n\t\t\tif ( glProjLayer === null && glBaseLayer === null ) {\n\n\t\t\t\treturn undefined;\n\n\t\t\t}\n\n\t\t\treturn foveation;\n\n\t\t};\n\n\t\tthis.setFoveation = function ( value ) {\n\n\t\t\t// 0 = no foveation = full resolution\n\t\t\t// 1 = maximum foveation = the edges render at lower resolution\n\n\t\t\tfoveation = value;\n\n\t\t\tif ( glProjLayer !== null ) {\n\n\t\t\t\tglProjLayer.fixedFoveation = value;\n\n\t\t\t}\n\n\t\t\tif ( glBaseLayer !== null && glBaseLayer.fixedFoveation !== undefined ) {\n\n\t\t\t\tglBaseLayer.fixedFoveation = value;\n\n\t\t\t}\n\n\t\t};\n\n\t\t// Animation Loop\n\n\t\tlet onAnimationFrameCallback = null;\n\n\t\tfunction onAnimationFrame( time, frame ) {\n\n\t\t\tpose = frame.getViewerPose( customReferenceSpace || referenceSpace );\n\t\t\txrFrame = frame;\n\n\t\t\tif ( pose !== null ) {\n\n\t\t\t\tconst views = pose.views;\n\n\t\t\t\tif ( glBaseLayer !== null ) {\n\n\t\t\t\t\trenderer.setRenderTargetFramebuffer( newRenderTarget, glBaseLayer.framebuffer );\n\t\t\t\t\trenderer.setRenderTarget( newRenderTarget );\n\n\t\t\t\t}\n\n\t\t\t\tlet cameraXRNeedsUpdate = false;\n\n\t\t\t\t// check if it's necessary to rebuild cameraXR's camera list\n\n\t\t\t\tif ( views.length !== cameraXR.cameras.length ) {\n\n\t\t\t\t\tcameraXR.cameras.length = 0;\n\t\t\t\t\tcameraXRNeedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t\tfor ( let i = 0; i < views.length; i ++ ) {\n\n\t\t\t\t\tconst view = views[ i ];\n\n\t\t\t\t\tlet viewport = null;\n\n\t\t\t\t\tif ( glBaseLayer !== null ) {\n\n\t\t\t\t\t\tviewport = glBaseLayer.getViewport( view );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst glSubImage = glBinding.getViewSubImage( glProjLayer, view );\n\t\t\t\t\t\tviewport = glSubImage.viewport;\n\n\t\t\t\t\t\t// For side-by-side projection, we only produce a single texture for both eyes.\n\t\t\t\t\t\tif ( i === 0 ) {\n\n\t\t\t\t\t\t\trenderer.setRenderTargetTextures(\n\t\t\t\t\t\t\t\tnewRenderTarget,\n\t\t\t\t\t\t\t\tglSubImage.colorTexture,\n\t\t\t\t\t\t\t\tglProjLayer.ignoreDepthValues ? undefined : glSubImage.depthStencilTexture );\n\n\t\t\t\t\t\t\trenderer.setRenderTarget( newRenderTarget );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tlet camera = cameras[ i ];\n\n\t\t\t\t\tif ( camera === undefined ) {\n\n\t\t\t\t\t\tcamera = new PerspectiveCamera();\n\t\t\t\t\t\tcamera.layers.enable( i );\n\t\t\t\t\t\tcamera.viewport = new Vector4();\n\t\t\t\t\t\tcameras[ i ] = camera;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcamera.matrix.fromArray( view.transform.matrix );\n\t\t\t\t\tcamera.matrix.decompose( camera.position, camera.quaternion, camera.scale );\n\t\t\t\t\tcamera.projectionMatrix.fromArray( view.projectionMatrix );\n\t\t\t\t\tcamera.projectionMatrixInverse.copy( camera.projectionMatrix ).invert();\n\t\t\t\t\tcamera.viewport.set( viewport.x, viewport.y, viewport.width, viewport.height );\n\n\t\t\t\t\tif ( i === 0 ) {\n\n\t\t\t\t\t\tcameraXR.matrix.copy( camera.matrix );\n\t\t\t\t\t\tcameraXR.matrix.decompose( cameraXR.position, cameraXR.quaternion, cameraXR.scale );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( cameraXRNeedsUpdate === true ) {\n\n\t\t\t\t\t\tcameraXR.cameras.push( camera );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tfor ( let i = 0; i < controllers.length; i ++ ) {\n\n\t\t\t\tconst inputSource = controllerInputSources[ i ];\n\t\t\t\tconst controller = controllers[ i ];\n\n\t\t\t\tif ( inputSource !== null && controller !== undefined ) {\n\n\t\t\t\t\tcontroller.update( inputSource, frame, customReferenceSpace || referenceSpace );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( onAnimationFrameCallback ) onAnimationFrameCallback( time, frame );\n\n\t\t\tif ( frame.detectedPlanes ) {\n\n\t\t\t\tscope.dispatchEvent( { type: 'planesdetected', data: frame } );\n\n\t\t\t}\n\n\t\t\txrFrame = null;\n\n\t\t}\n\n\t\tconst animation = new WebGLAnimation();\n\n\t\tanimation.setAnimationLoop( onAnimationFrame );\n\n\t\tthis.setAnimationLoop = function ( callback ) {\n\n\t\t\tonAnimationFrameCallback = callback;\n\n\t\t};\n\n\t\tthis.dispose = function () {};\n\n\t}\n\n}\n\nfunction WebGLMaterials( renderer, properties ) {\n\n\tfunction refreshTransformUniform( map, uniform ) {\n\n\t\tif ( map.matrixAutoUpdate === true ) {\n\n\t\t\tmap.updateMatrix();\n\n\t\t}\n\n\t\tuniform.value.copy( map.matrix );\n\n\t}\n\n\tfunction refreshFogUniforms( uniforms, fog ) {\n\n\t\tfog.color.getRGB( uniforms.fogColor.value, getUnlitUniformColorSpace( renderer ) );\n\n\t\tif ( fog.isFog ) {\n\n\t\t\tuniforms.fogNear.value = fog.near;\n\t\t\tuniforms.fogFar.value = fog.far;\n\n\t\t} else if ( fog.isFogExp2 ) {\n\n\t\t\tuniforms.fogDensity.value = fog.density;\n\n\t\t}\n\n\t}\n\n\tfunction refreshMaterialUniforms( uniforms, material, pixelRatio, height, transmissionRenderTarget ) {\n\n\t\tif ( material.isMeshBasicMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshLambertMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshToonMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsToon( uniforms, material );\n\n\t\t} else if ( material.isMeshPhongMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsPhong( uniforms, material );\n\n\t\t} else if ( material.isMeshStandardMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsStandard( uniforms, material );\n\n\t\t\tif ( material.isMeshPhysicalMaterial ) {\n\n\t\t\t\trefreshUniformsPhysical( uniforms, material, transmissionRenderTarget );\n\n\t\t\t}\n\n\t\t} else if ( material.isMeshMatcapMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsMatcap( uniforms, material );\n\n\t\t} else if ( material.isMeshDepthMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isMeshDistanceMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\t\t\trefreshUniformsDistance( uniforms, material );\n\n\t\t} else if ( material.isMeshNormalMaterial ) {\n\n\t\t\trefreshUniformsCommon( uniforms, material );\n\n\t\t} else if ( material.isLineBasicMaterial ) {\n\n\t\t\trefreshUniformsLine( uniforms, material );\n\n\t\t\tif ( material.isLineDashedMaterial ) {\n\n\t\t\t\trefreshUniformsDash( uniforms, material );\n\n\t\t\t}\n\n\t\t} else if ( material.isPointsMaterial ) {\n\n\t\t\trefreshUniformsPoints( uniforms, material, pixelRatio, height );\n\n\t\t} else if ( material.isSpriteMaterial ) {\n\n\t\t\trefreshUniformsSprites( uniforms, material );\n\n\t\t} else if ( material.isShadowMaterial ) {\n\n\t\t\tuniforms.color.value.copy( material.color );\n\t\t\tuniforms.opacity.value = material.opacity;\n\n\t\t} else if ( material.isShaderMaterial ) {\n\n\t\t\tmaterial.uniformsNeedUpdate = false; // #15581\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsCommon( uniforms, material ) {\n\n\t\tuniforms.opacity.value = material.opacity;\n\n\t\tif ( material.color ) {\n\n\t\t\tuniforms.diffuse.value.copy( material.color );\n\n\t\t}\n\n\t\tif ( material.emissive ) {\n\n\t\t\tuniforms.emissive.value.copy( material.emissive ).multiplyScalar( material.emissiveIntensity );\n\n\t\t}\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.bumpMap ) {\n\n\t\t\tuniforms.bumpMap.value = material.bumpMap;\n\n\t\t\trefreshTransformUniform( material.bumpMap, uniforms.bumpMapTransform );\n\n\t\t\tuniforms.bumpScale.value = material.bumpScale;\n\n\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\tuniforms.bumpScale.value *= - 1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.normalMap ) {\n\n\t\t\tuniforms.normalMap.value = material.normalMap;\n\n\t\t\trefreshTransformUniform( material.normalMap, uniforms.normalMapTransform );\n\n\t\t\tuniforms.normalScale.value.copy( material.normalScale );\n\n\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\tuniforms.normalScale.value.negate();\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.displacementMap ) {\n\n\t\t\tuniforms.displacementMap.value = material.displacementMap;\n\n\t\t\trefreshTransformUniform( material.displacementMap, uniforms.displacementMapTransform );\n\n\t\t\tuniforms.displacementScale.value = material.displacementScale;\n\t\t\tuniforms.displacementBias.value = material.displacementBias;\n\n\t\t}\n\n\t\tif ( material.emissiveMap ) {\n\n\t\t\tuniforms.emissiveMap.value = material.emissiveMap;\n\n\t\t\trefreshTransformUniform( material.emissiveMap, uniforms.emissiveMapTransform );\n\n\t\t}\n\n\t\tif ( material.specularMap ) {\n\n\t\t\tuniforms.specularMap.value = material.specularMap;\n\n\t\t\trefreshTransformUniform( material.specularMap, uniforms.specularMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t\tconst envMap = properties.get( material ).envMap;\n\n\t\tif ( envMap ) {\n\n\t\t\tuniforms.envMap.value = envMap;\n\n\t\t\tuniforms.flipEnvMap.value = ( envMap.isCubeTexture && envMap.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t\tuniforms.reflectivity.value = material.reflectivity;\n\t\t\tuniforms.ior.value = material.ior;\n\t\t\tuniforms.refractionRatio.value = material.refractionRatio;\n\n\t\t}\n\n\t\tif ( material.lightMap ) {\n\n\t\t\tuniforms.lightMap.value = material.lightMap;\n\n\t\t\t// artist-friendly light intensity scaling factor\n\t\t\tconst scaleFactor = ( renderer._useLegacyLights === true ) ? Math.PI : 1;\n\n\t\t\tuniforms.lightMapIntensity.value = material.lightMapIntensity * scaleFactor;\n\n\t\t\trefreshTransformUniform( material.lightMap, uniforms.lightMapTransform );\n\n\t\t}\n\n\t\tif ( material.aoMap ) {\n\n\t\t\tuniforms.aoMap.value = material.aoMap;\n\t\t\tuniforms.aoMapIntensity.value = material.aoMapIntensity;\n\n\t\t\trefreshTransformUniform( material.aoMap, uniforms.aoMapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsLine( uniforms, material ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsDash( uniforms, material ) {\n\n\t\tuniforms.dashSize.value = material.dashSize;\n\t\tuniforms.totalSize.value = material.dashSize + material.gapSize;\n\t\tuniforms.scale.value = material.scale;\n\n\t}\n\n\tfunction refreshUniformsPoints( uniforms, material, pixelRatio, height ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\t\tuniforms.size.value = material.size * pixelRatio;\n\t\tuniforms.scale.value = height * 0.5;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.uvTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsSprites( uniforms, material ) {\n\n\t\tuniforms.diffuse.value.copy( material.color );\n\t\tuniforms.opacity.value = material.opacity;\n\t\tuniforms.rotation.value = material.rotation;\n\n\t\tif ( material.map ) {\n\n\t\t\tuniforms.map.value = material.map;\n\n\t\t\trefreshTransformUniform( material.map, uniforms.mapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaMap ) {\n\n\t\t\tuniforms.alphaMap.value = material.alphaMap;\n\n\t\t\trefreshTransformUniform( material.alphaMap, uniforms.alphaMapTransform );\n\n\t\t}\n\n\t\tif ( material.alphaTest > 0 ) {\n\n\t\t\tuniforms.alphaTest.value = material.alphaTest;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsPhong( uniforms, material ) {\n\n\t\tuniforms.specular.value.copy( material.specular );\n\t\tuniforms.shininess.value = Math.max( material.shininess, 1e-4 ); // to prevent pow( 0.0, 0.0 )\n\n\t}\n\n\tfunction refreshUniformsToon( uniforms, material ) {\n\n\t\tif ( material.gradientMap ) {\n\n\t\t\tuniforms.gradientMap.value = material.gradientMap;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsStandard( uniforms, material ) {\n\n\t\tuniforms.metalness.value = material.metalness;\n\n\t\tif ( material.metalnessMap ) {\n\n\t\t\tuniforms.metalnessMap.value = material.metalnessMap;\n\n\t\t\trefreshTransformUniform( material.metalnessMap, uniforms.metalnessMapTransform );\n\n\t\t}\n\n\t\tuniforms.roughness.value = material.roughness;\n\n\t\tif ( material.roughnessMap ) {\n\n\t\t\tuniforms.roughnessMap.value = material.roughnessMap;\n\n\t\t\trefreshTransformUniform( material.roughnessMap, uniforms.roughnessMapTransform );\n\n\t\t}\n\n\t\tconst envMap = properties.get( material ).envMap;\n\n\t\tif ( envMap ) {\n\n\t\t\t//uniforms.envMap.value = material.envMap; // part of uniforms common\n\t\t\tuniforms.envMapIntensity.value = material.envMapIntensity;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsPhysical( uniforms, material, transmissionRenderTarget ) {\n\n\t\tuniforms.ior.value = material.ior; // also part of uniforms common\n\n\t\tif ( material.sheen > 0 ) {\n\n\t\t\tuniforms.sheenColor.value.copy( material.sheenColor ).multiplyScalar( material.sheen );\n\n\t\t\tuniforms.sheenRoughness.value = material.sheenRoughness;\n\n\t\t\tif ( material.sheenColorMap ) {\n\n\t\t\t\tuniforms.sheenColorMap.value = material.sheenColorMap;\n\n\t\t\t\trefreshTransformUniform( material.sheenColorMap, uniforms.sheenColorMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.sheenRoughnessMap ) {\n\n\t\t\t\tuniforms.sheenRoughnessMap.value = material.sheenRoughnessMap;\n\n\t\t\t\trefreshTransformUniform( material.sheenRoughnessMap, uniforms.sheenRoughnessMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.clearcoat > 0 ) {\n\n\t\t\tuniforms.clearcoat.value = material.clearcoat;\n\t\t\tuniforms.clearcoatRoughness.value = material.clearcoatRoughness;\n\n\t\t\tif ( material.clearcoatMap ) {\n\n\t\t\t\tuniforms.clearcoatMap.value = material.clearcoatMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatMap, uniforms.clearcoatMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.clearcoatRoughnessMap ) {\n\n\t\t\t\tuniforms.clearcoatRoughnessMap.value = material.clearcoatRoughnessMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatRoughnessMap, uniforms.clearcoatRoughnessMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.clearcoatNormalMap ) {\n\n\t\t\t\tuniforms.clearcoatNormalMap.value = material.clearcoatNormalMap;\n\n\t\t\t\trefreshTransformUniform( material.clearcoatNormalMap, uniforms.clearcoatNormalMapTransform );\n\n\t\t\t\tuniforms.clearcoatNormalScale.value.copy( material.clearcoatNormalScale );\n\n\t\t\t\tif ( material.side === BackSide ) {\n\n\t\t\t\t\tuniforms.clearcoatNormalScale.value.negate();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.iridescence > 0 ) {\n\n\t\t\tuniforms.iridescence.value = material.iridescence;\n\t\t\tuniforms.iridescenceIOR.value = material.iridescenceIOR;\n\t\t\tuniforms.iridescenceThicknessMinimum.value = material.iridescenceThicknessRange[ 0 ];\n\t\t\tuniforms.iridescenceThicknessMaximum.value = material.iridescenceThicknessRange[ 1 ];\n\n\t\t\tif ( material.iridescenceMap ) {\n\n\t\t\t\tuniforms.iridescenceMap.value = material.iridescenceMap;\n\n\t\t\t\trefreshTransformUniform( material.iridescenceMap, uniforms.iridescenceMapTransform );\n\n\t\t\t}\n\n\t\t\tif ( material.iridescenceThicknessMap ) {\n\n\t\t\t\tuniforms.iridescenceThicknessMap.value = material.iridescenceThicknessMap;\n\n\t\t\t\trefreshTransformUniform( material.iridescenceThicknessMap, uniforms.iridescenceThicknessMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( material.transmission > 0 ) {\n\n\t\t\tuniforms.transmission.value = material.transmission;\n\t\t\tuniforms.transmissionSamplerMap.value = transmissionRenderTarget.texture;\n\t\t\tuniforms.transmissionSamplerSize.value.set( transmissionRenderTarget.width, transmissionRenderTarget.height );\n\n\t\t\tif ( material.transmissionMap ) {\n\n\t\t\t\tuniforms.transmissionMap.value = material.transmissionMap;\n\n\t\t\t\trefreshTransformUniform( material.transmissionMap, uniforms.transmissionMapTransform );\n\n\t\t\t}\n\n\t\t\tuniforms.thickness.value = material.thickness;\n\n\t\t\tif ( material.thicknessMap ) {\n\n\t\t\t\tuniforms.thicknessMap.value = material.thicknessMap;\n\n\t\t\t\trefreshTransformUniform( material.thicknessMap, uniforms.thicknessMapTransform );\n\n\t\t\t}\n\n\t\t\tuniforms.attenuationDistance.value = material.attenuationDistance;\n\t\t\tuniforms.attenuationColor.value.copy( material.attenuationColor );\n\n\t\t}\n\n\t\tif ( material.anisotropy > 0 ) {\n\n\t\t\tuniforms.anisotropyVector.value.set( material.anisotropy * Math.cos( material.anisotropyRotation ), material.anisotropy * Math.sin( material.anisotropyRotation ) );\n\n\t\t\tif ( material.anisotropyMap ) {\n\n\t\t\t\tuniforms.anisotropyMap.value = material.anisotropyMap;\n\n\t\t\t\trefreshTransformUniform( material.anisotropyMap, uniforms.anisotropyMapTransform );\n\n\t\t\t}\n\n\t\t}\n\n\t\tuniforms.specularIntensity.value = material.specularIntensity;\n\t\tuniforms.specularColor.value.copy( material.specularColor );\n\n\t\tif ( material.specularColorMap ) {\n\n\t\t\tuniforms.specularColorMap.value = material.specularColorMap;\n\n\t\t\trefreshTransformUniform( material.specularColorMap, uniforms.specularColorMapTransform );\n\n\t\t}\n\n\t\tif ( material.specularIntensityMap ) {\n\n\t\t\tuniforms.specularIntensityMap.value = material.specularIntensityMap;\n\n\t\t\trefreshTransformUniform( material.specularIntensityMap, uniforms.specularIntensityMapTransform );\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsMatcap( uniforms, material ) {\n\n\t\tif ( material.matcap ) {\n\n\t\t\tuniforms.matcap.value = material.matcap;\n\n\t\t}\n\n\t}\n\n\tfunction refreshUniformsDistance( uniforms, material ) {\n\n\t\tconst light = properties.get( material ).light;\n\n\t\tuniforms.referencePosition.value.setFromMatrixPosition( light.matrixWorld );\n\t\tuniforms.nearDistance.value = light.shadow.camera.near;\n\t\tuniforms.farDistance.value = light.shadow.camera.far;\n\n\t}\n\n\treturn {\n\t\trefreshFogUniforms: refreshFogUniforms,\n\t\trefreshMaterialUniforms: refreshMaterialUniforms\n\t};\n\n}\n\nfunction WebGLUniformsGroups( gl, info, capabilities, state ) {\n\n\tlet buffers = {};\n\tlet updateList = {};\n\tlet allocatedBindingPoints = [];\n\n\tconst maxBindingPoints = ( capabilities.isWebGL2 ) ? gl.getParameter( gl.MAX_UNIFORM_BUFFER_BINDINGS ) : 0; // binding points are global whereas block indices are per shader program\n\n\tfunction bind( uniformsGroup, program ) {\n\n\t\tconst webglProgram = program.program;\n\t\tstate.uniformBlockBinding( uniformsGroup, webglProgram );\n\n\t}\n\n\tfunction update( uniformsGroup, program ) {\n\n\t\tlet buffer = buffers[ uniformsGroup.id ];\n\n\t\tif ( buffer === undefined ) {\n\n\t\t\tprepareUniformsGroup( uniformsGroup );\n\n\t\t\tbuffer = createBuffer( uniformsGroup );\n\t\t\tbuffers[ uniformsGroup.id ] = buffer;\n\n\t\t\tuniformsGroup.addEventListener( 'dispose', onUniformsGroupsDispose );\n\n\t\t}\n\n\t\t// ensure to update the binding points/block indices mapping for this program\n\n\t\tconst webglProgram = program.program;\n\t\tstate.updateUBOMapping( uniformsGroup, webglProgram );\n\n\t\t// update UBO once per frame\n\n\t\tconst frame = info.render.frame;\n\n\t\tif ( updateList[ uniformsGroup.id ] !== frame ) {\n\n\t\t\tupdateBufferData( uniformsGroup );\n\n\t\t\tupdateList[ uniformsGroup.id ] = frame;\n\n\t\t}\n\n\t}\n\n\tfunction createBuffer( uniformsGroup ) {\n\n\t\t// the setup of an UBO is independent of a particular shader program but global\n\n\t\tconst bindingPointIndex = allocateBindingPointIndex();\n\t\tuniformsGroup.__bindingPointIndex = bindingPointIndex;\n\n\t\tconst buffer = gl.createBuffer();\n\t\tconst size = uniformsGroup.__size;\n\t\tconst usage = uniformsGroup.usage;\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, buffer );\n\t\tgl.bufferData( gl.UNIFORM_BUFFER, size, usage );\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, null );\n\t\tgl.bindBufferBase( gl.UNIFORM_BUFFER, bindingPointIndex, buffer );\n\n\t\treturn buffer;\n\n\t}\n\n\tfunction allocateBindingPointIndex() {\n\n\t\tfor ( let i = 0; i < maxBindingPoints; i ++ ) {\n\n\t\t\tif ( allocatedBindingPoints.indexOf( i ) === - 1 ) {\n\n\t\t\t\tallocatedBindingPoints.push( i );\n\t\t\t\treturn i;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconsole.error( 'THREE.WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached.' );\n\n\t\treturn 0;\n\n\t}\n\n\tfunction updateBufferData( uniformsGroup ) {\n\n\t\tconst buffer = buffers[ uniformsGroup.id ];\n\t\tconst uniforms = uniformsGroup.uniforms;\n\t\tconst cache = uniformsGroup.__cache;\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, buffer );\n\n\t\tfor ( let i = 0, il = uniforms.length; i < il; i ++ ) {\n\n\t\t\tconst uniformArray = Array.isArray( uniforms[ i ] ) ? uniforms[ i ] : [ uniforms[ i ] ];\n\n\t\t\tfor ( let j = 0, jl = uniformArray.length; j < jl; j ++ ) {\n\n\t\t\t\tconst uniform = uniformArray[ j ];\n\n\t\t\t\tif ( hasUniformChanged( uniform, i, j, cache ) === true ) {\n\n\t\t\t\t\tconst offset = uniform.__offset;\n\n\t\t\t\t\tconst values = Array.isArray( uniform.value ) ? uniform.value : [ uniform.value ];\n\n\t\t\t\t\tlet arrayOffset = 0;\n\n\t\t\t\t\tfor ( let k = 0; k < values.length; k ++ ) {\n\n\t\t\t\t\t\tconst value = values[ k ];\n\n\t\t\t\t\t\tconst info = getUniformSize( value );\n\n\t\t\t\t\t\t// TODO add integer and struct support\n\t\t\t\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\t\t\t\tuniform.__data[ 0 ] = value;\n\t\t\t\t\t\t\tgl.bufferSubData( gl.UNIFORM_BUFFER, offset + arrayOffset, uniform.__data );\n\n\t\t\t\t\t\t} else if ( value.isMatrix3 ) {\n\n\t\t\t\t\t\t\t// manually converting 3x3 to 3x4\n\n\t\t\t\t\t\t\tuniform.__data[ 0 ] = value.elements[ 0 ];\n\t\t\t\t\t\t\tuniform.__data[ 1 ] = value.elements[ 1 ];\n\t\t\t\t\t\t\tuniform.__data[ 2 ] = value.elements[ 2 ];\n\t\t\t\t\t\t\tuniform.__data[ 3 ] = 0;\n\t\t\t\t\t\t\tuniform.__data[ 4 ] = value.elements[ 3 ];\n\t\t\t\t\t\t\tuniform.__data[ 5 ] = value.elements[ 4 ];\n\t\t\t\t\t\t\tuniform.__data[ 6 ] = value.elements[ 5 ];\n\t\t\t\t\t\t\tuniform.__data[ 7 ] = 0;\n\t\t\t\t\t\t\tuniform.__data[ 8 ] = value.elements[ 6 ];\n\t\t\t\t\t\t\tuniform.__data[ 9 ] = value.elements[ 7 ];\n\t\t\t\t\t\t\tuniform.__data[ 10 ] = value.elements[ 8 ];\n\t\t\t\t\t\t\tuniform.__data[ 11 ] = 0;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tvalue.toArray( uniform.__data, arrayOffset );\n\n\t\t\t\t\t\t\tarrayOffset += info.storage / Float32Array.BYTES_PER_ELEMENT;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tgl.bufferSubData( gl.UNIFORM_BUFFER, offset, uniform.__data );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tgl.bindBuffer( gl.UNIFORM_BUFFER, null );\n\n\t}\n\n\tfunction hasUniformChanged( uniform, index, indexArray, cache ) {\n\n\t\tconst value = uniform.value;\n\t\tconst indexString = index + '_' + indexArray;\n\n\t\tif ( cache[ indexString ] === undefined ) {\n\n\t\t\t// cache entry does not exist so far\n\n\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\tcache[ indexString ] = value;\n\n\t\t\t} else {\n\n\t\t\t\tcache[ indexString ] = value.clone();\n\n\t\t\t}\n\n\t\t\treturn true;\n\n\t\t} else {\n\n\t\t\tconst cachedObject = cache[ indexString ];\n\n\t\t\t// compare current value with cached entry\n\n\t\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t\tif ( cachedObject !== value ) {\n\n\t\t\t\t\tcache[ indexString ] = value;\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tif ( cachedObject.equals( value ) === false ) {\n\n\t\t\t\t\tcachedObject.copy( value );\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\tfunction prepareUniformsGroup( uniformsGroup ) {\n\n\t\t// determine total buffer size according to the STD140 layout\n\t\t// Hint: STD140 is the only supported layout in WebGL 2\n\n\t\tconst uniforms = uniformsGroup.uniforms;\n\n\t\tlet offset = 0; // global buffer offset in bytes\n\t\tconst chunkSize = 16; // size of a chunk in bytes\n\n\t\tfor ( let i = 0, l = uniforms.length; i < l; i ++ ) {\n\n\t\t\tconst uniformArray = Array.isArray( uniforms[ i ] ) ? uniforms[ i ] : [ uniforms[ i ] ];\n\n\t\t\tfor ( let j = 0, jl = uniformArray.length; j < jl; j ++ ) {\n\n\t\t\t\tconst uniform = uniformArray[ j ];\n\n\t\t\t\tconst values = Array.isArray( uniform.value ) ? uniform.value : [ uniform.value ];\n\n\t\t\t\tfor ( let k = 0, kl = values.length; k < kl; k ++ ) {\n\n\t\t\t\t\tconst value = values[ k ];\n\n\t\t\t\t\tconst info = getUniformSize( value );\n\n\t\t\t\t\t// Calculate the chunk offset\n\t\t\t\t\tconst chunkOffsetUniform = offset % chunkSize;\n\n\t\t\t\t\t// Check for chunk overflow\n\t\t\t\t\tif ( chunkOffsetUniform !== 0 && ( chunkSize - chunkOffsetUniform ) < info.boundary ) {\n\n\t\t\t\t\t\t// Add padding and adjust offset\n\t\t\t\t\t\toffset += ( chunkSize - chunkOffsetUniform );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the following two properties will be used for partial buffer updates\n\n\t\t\t\t\tuniform.__data = new Float32Array( info.storage / Float32Array.BYTES_PER_ELEMENT );\n\t\t\t\t\tuniform.__offset = offset;\n\n\n\t\t\t\t\t// Update the global offset\n\t\t\t\t\toffset += info.storage;\n\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// ensure correct final padding\n\n\t\tconst chunkOffset = offset % chunkSize;\n\n\t\tif ( chunkOffset > 0 ) offset += ( chunkSize - chunkOffset );\n\n\t\t//\n\n\t\tuniformsGroup.__size = offset;\n\t\tuniformsGroup.__cache = {};\n\n\t\treturn this;\n\n\t}\n\n\tfunction getUniformSize( value ) {\n\n\t\tconst info = {\n\t\t\tboundary: 0, // bytes\n\t\t\tstorage: 0 // bytes\n\t\t};\n\n\t\t// determine sizes according to STD140\n\n\t\tif ( typeof value === 'number' || typeof value === 'boolean' ) {\n\n\t\t\t// float/int/bool\n\n\t\t\tinfo.boundary = 4;\n\t\t\tinfo.storage = 4;\n\n\t\t} else if ( value.isVector2 ) {\n\n\t\t\t// vec2\n\n\t\t\tinfo.boundary = 8;\n\t\t\tinfo.storage = 8;\n\n\t\t} else if ( value.isVector3 || value.isColor ) {\n\n\t\t\t// vec3\n\n\t\t\tinfo.boundary = 16;\n\t\t\tinfo.storage = 12; // evil: vec3 must start on a 16-byte boundary but it only consumes 12 bytes\n\n\t\t} else if ( value.isVector4 ) {\n\n\t\t\t// vec4\n\n\t\t\tinfo.boundary = 16;\n\t\t\tinfo.storage = 16;\n\n\t\t} else if ( value.isMatrix3 ) {\n\n\t\t\t// mat3 (in STD140 a 3x3 matrix is represented as 3x4)\n\n\t\t\tinfo.boundary = 48;\n\t\t\tinfo.storage = 48;\n\n\t\t} else if ( value.isMatrix4 ) {\n\n\t\t\t// mat4\n\n\t\t\tinfo.boundary = 64;\n\t\t\tinfo.storage = 64;\n\n\t\t} else if ( value.isTexture ) {\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Texture samplers can not be part of an uniforms group.' );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.WebGLRenderer: Unsupported uniform value type.', value );\n\n\t\t}\n\n\t\treturn info;\n\n\t}\n\n\tfunction onUniformsGroupsDispose( event ) {\n\n\t\tconst uniformsGroup = event.target;\n\n\t\tuniformsGroup.removeEventListener( 'dispose', onUniformsGroupsDispose );\n\n\t\tconst index = allocatedBindingPoints.indexOf( uniformsGroup.__bindingPointIndex );\n\t\tallocatedBindingPoints.splice( index, 1 );\n\n\t\tgl.deleteBuffer( buffers[ uniformsGroup.id ] );\n\n\t\tdelete buffers[ uniformsGroup.id ];\n\t\tdelete updateList[ uniformsGroup.id ];\n\n\t}\n\n\tfunction dispose() {\n\n\t\tfor ( const id in buffers ) {\n\n\t\t\tgl.deleteBuffer( buffers[ id ] );\n\n\t\t}\n\n\t\tallocatedBindingPoints = [];\n\t\tbuffers = {};\n\t\tupdateList = {};\n\n\t}\n\n\treturn {\n\n\t\tbind: bind,\n\t\tupdate: update,\n\n\t\tdispose: dispose\n\n\t};\n\n}\n\nclass WebGLRenderer {\n\n\tconstructor( parameters = {} ) {\n\n\t\tconst {\n\t\t\tcanvas = createCanvasElement(),\n\t\t\tcontext = null,\n\t\t\tdepth = true,\n\t\t\tstencil = true,\n\t\t\talpha = false,\n\t\t\tantialias = false,\n\t\t\tpremultipliedAlpha = true,\n\t\t\tpreserveDrawingBuffer = false,\n\t\t\tpowerPreference = 'default',\n\t\t\tfailIfMajorPerformanceCaveat = false,\n\t\t} = parameters;\n\n\t\tthis.isWebGLRenderer = true;\n\n\t\tlet _alpha;\n\n\t\tif ( context !== null ) {\n\n\t\t\t_alpha = context.getContextAttributes().alpha;\n\n\t\t} else {\n\n\t\t\t_alpha = alpha;\n\n\t\t}\n\n\t\tconst uintClearColor = new Uint32Array( 4 );\n\t\tconst intClearColor = new Int32Array( 4 );\n\n\t\tlet currentRenderList = null;\n\t\tlet currentRenderState = null;\n\n\t\t// render() can be called from within a callback triggered by another render.\n\t\t// We track this so that the nested render call gets its list and state isolated from the parent render call.\n\n\t\tconst renderListStack = [];\n\t\tconst renderStateStack = [];\n\n\t\t// public properties\n\n\t\tthis.domElement = canvas;\n\n\t\t// Debug configuration container\n\t\tthis.debug = {\n\n\t\t\t/**\n\t\t\t * Enables error checking and reporting when shader programs are being compiled\n\t\t\t * @type {boolean}\n\t\t\t */\n\t\t\tcheckShaderErrors: true,\n\t\t\t/**\n\t\t\t * Callback for custom error reporting.\n\t\t\t * @type {?Function}\n\t\t\t */\n\t\t\tonShaderError: null\n\t\t};\n\n\t\t// clearing\n\n\t\tthis.autoClear = true;\n\t\tthis.autoClearColor = true;\n\t\tthis.autoClearDepth = true;\n\t\tthis.autoClearStencil = true;\n\n\t\t// scene graph\n\n\t\tthis.sortObjects = true;\n\n\t\t// user-defined clipping\n\n\t\tthis.clippingPlanes = [];\n\t\tthis.localClippingEnabled = false;\n\n\t\t// physically based shading\n\n\t\tthis._outputColorSpace = SRGBColorSpace;\n\n\t\t// physical lights\n\n\t\tthis._useLegacyLights = false;\n\n\t\t// tone mapping\n\n\t\tthis.toneMapping = NoToneMapping;\n\t\tthis.toneMappingExposure = 1.0;\n\n\t\t// internal properties\n\n\t\tconst _this = this;\n\n\t\tlet _isContextLost = false;\n\n\t\t// internal state cache\n\n\t\tlet _currentActiveCubeFace = 0;\n\t\tlet _currentActiveMipmapLevel = 0;\n\t\tlet _currentRenderTarget = null;\n\t\tlet _currentMaterialId = - 1;\n\n\t\tlet _currentCamera = null;\n\n\t\tconst _currentViewport = new Vector4();\n\t\tconst _currentScissor = new Vector4();\n\t\tlet _currentScissorTest = null;\n\n\t\tconst _currentClearColor = new Color( 0x000000 );\n\t\tlet _currentClearAlpha = 0;\n\n\t\t//\n\n\t\tlet _width = canvas.width;\n\t\tlet _height = canvas.height;\n\n\t\tlet _pixelRatio = 1;\n\t\tlet _opaqueSort = null;\n\t\tlet _transparentSort = null;\n\n\t\tconst _viewport = new Vector4( 0, 0, _width, _height );\n\t\tconst _scissor = new Vector4( 0, 0, _width, _height );\n\t\tlet _scissorTest = false;\n\n\t\t// frustum\n\n\t\tconst _frustum = new Frustum();\n\n\t\t// clipping\n\n\t\tlet _clippingEnabled = false;\n\t\tlet _localClippingEnabled = false;\n\n\t\t// transmission\n\n\t\tlet _transmissionRenderTarget = null;\n\n\t\t// camera matrices cache\n\n\t\tconst _projScreenMatrix = new Matrix4();\n\n\t\tconst _vector2 = new Vector2();\n\t\tconst _vector3 = new Vector3();\n\n\t\tconst _emptyScene = { background: null, fog: null, environment: null, overrideMaterial: null, isScene: true };\n\n\t\tfunction getTargetPixelRatio() {\n\n\t\t\treturn _currentRenderTarget === null ? _pixelRatio : 1;\n\n\t\t}\n\n\t\t// initialize\n\n\t\tlet _gl = context;\n\n\t\tfunction getContext( contextNames, contextAttributes ) {\n\n\t\t\tfor ( let i = 0; i < contextNames.length; i ++ ) {\n\n\t\t\t\tconst contextName = contextNames[ i ];\n\t\t\t\tconst context = canvas.getContext( contextName, contextAttributes );\n\t\t\t\tif ( context !== null ) return context;\n\n\t\t\t}\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\ttry {\n\n\t\t\tconst contextAttributes = {\n\t\t\t\talpha: true,\n\t\t\t\tdepth,\n\t\t\t\tstencil,\n\t\t\t\tantialias,\n\t\t\t\tpremultipliedAlpha,\n\t\t\t\tpreserveDrawingBuffer,\n\t\t\t\tpowerPreference,\n\t\t\t\tfailIfMajorPerformanceCaveat,\n\t\t\t};\n\n\t\t\t// OffscreenCanvas does not have setAttribute, see #22811\n\t\t\tif ( 'setAttribute' in canvas ) canvas.setAttribute( 'data-engine', `three.js r${REVISION}` );\n\n\t\t\t// event listeners must be registered before WebGL context is created, see #12753\n\t\t\tcanvas.addEventListener( 'webglcontextlost', onContextLost, false );\n\t\t\tcanvas.addEventListener( 'webglcontextrestored', onContextRestore, false );\n\t\t\tcanvas.addEventListener( 'webglcontextcreationerror', onContextCreationError, false );\n\n\t\t\tif ( _gl === null ) {\n\n\t\t\t\tconst contextNames = [ 'webgl2', 'webgl', 'experimental-webgl' ];\n\n\t\t\t\tif ( _this.isWebGL1Renderer === true ) {\n\n\t\t\t\t\tcontextNames.shift();\n\n\t\t\t\t}\n\n\t\t\t\t_gl = getContext( contextNames, contextAttributes );\n\n\t\t\t\tif ( _gl === null ) {\n\n\t\t\t\t\tif ( getContext( contextNames ) ) {\n\n\t\t\t\t\t\tthrow new Error( 'Error creating WebGL context with your selected attributes.' );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthrow new Error( 'Error creating WebGL context.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( typeof WebGLRenderingContext !== 'undefined' && _gl instanceof WebGLRenderingContext ) { // @deprecated, r153\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: WebGL 1 support was deprecated in r153 and will be removed in r163.' );\n\n\t\t\t}\n\n\t\t\t// Some experimental-webgl implementations do not have getShaderPrecisionFormat\n\n\t\t\tif ( _gl.getShaderPrecisionFormat === undefined ) {\n\n\t\t\t\t_gl.getShaderPrecisionFormat = function () {\n\n\t\t\t\t\treturn { 'rangeMin': 1, 'rangeMax': 1, 'precision': 1 };\n\n\t\t\t\t};\n\n\t\t\t}\n\n\t\t} catch ( error ) {\n\n\t\t\tconsole.error( 'THREE.WebGLRenderer: ' + error.message );\n\t\t\tthrow error;\n\n\t\t}\n\n\t\tlet extensions, capabilities, state, info;\n\t\tlet properties, textures, cubemaps, cubeuvmaps, attributes, geometries, objects;\n\t\tlet programCache, materials, renderLists, renderStates, clipping, shadowMap;\n\n\t\tlet background, morphtargets, bufferRenderer, indexedBufferRenderer;\n\n\t\tlet utils, bindingStates, uniformsGroups;\n\n\t\tfunction initGLContext() {\n\n\t\t\textensions = new WebGLExtensions( _gl );\n\n\t\t\tcapabilities = new WebGLCapabilities( _gl, extensions, parameters );\n\n\t\t\textensions.init( capabilities );\n\n\t\t\tutils = new WebGLUtils( _gl, extensions, capabilities );\n\n\t\t\tstate = new WebGLState( _gl, extensions, capabilities );\n\n\t\t\tinfo = new WebGLInfo( _gl );\n\t\t\tproperties = new WebGLProperties();\n\t\t\ttextures = new WebGLTextures( _gl, extensions, state, properties, capabilities, utils, info );\n\t\t\tcubemaps = new WebGLCubeMaps( _this );\n\t\t\tcubeuvmaps = new WebGLCubeUVMaps( _this );\n\t\t\tattributes = new WebGLAttributes( _gl, capabilities );\n\t\t\tbindingStates = new WebGLBindingStates( _gl, extensions, attributes, capabilities );\n\t\t\tgeometries = new WebGLGeometries( _gl, attributes, info, bindingStates );\n\t\t\tobjects = new WebGLObjects( _gl, geometries, attributes, info );\n\t\t\tmorphtargets = new WebGLMorphtargets( _gl, capabilities, textures );\n\t\t\tclipping = new WebGLClipping( properties );\n\t\t\tprogramCache = new WebGLPrograms( _this, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping );\n\t\t\tmaterials = new WebGLMaterials( _this, properties );\n\t\t\trenderLists = new WebGLRenderLists();\n\t\t\trenderStates = new WebGLRenderStates( extensions, capabilities );\n\t\t\tbackground = new WebGLBackground( _this, cubemaps, cubeuvmaps, state, objects, _alpha, premultipliedAlpha );\n\t\t\tshadowMap = new WebGLShadowMap( _this, objects, capabilities );\n\t\t\tuniformsGroups = new WebGLUniformsGroups( _gl, info, capabilities, state );\n\n\t\t\tbufferRenderer = new WebGLBufferRenderer( _gl, extensions, info, capabilities );\n\t\t\tindexedBufferRenderer = new WebGLIndexedBufferRenderer( _gl, extensions, info, capabilities );\n\n\t\t\tinfo.programs = programCache.programs;\n\n\t\t\t_this.capabilities = capabilities;\n\t\t\t_this.extensions = extensions;\n\t\t\t_this.properties = properties;\n\t\t\t_this.renderLists = renderLists;\n\t\t\t_this.shadowMap = shadowMap;\n\t\t\t_this.state = state;\n\t\t\t_this.info = info;\n\n\t\t}\n\n\t\tinitGLContext();\n\n\t\t// xr\n\n\t\tconst xr = new WebXRManager( _this, _gl );\n\n\t\tthis.xr = xr;\n\n\t\t// API\n\n\t\tthis.getContext = function () {\n\n\t\t\treturn _gl;\n\n\t\t};\n\n\t\tthis.getContextAttributes = function () {\n\n\t\t\treturn _gl.getContextAttributes();\n\n\t\t};\n\n\t\tthis.forceContextLoss = function () {\n\n\t\t\tconst extension = extensions.get( 'WEBGL_lose_context' );\n\t\t\tif ( extension ) extension.loseContext();\n\n\t\t};\n\n\t\tthis.forceContextRestore = function () {\n\n\t\t\tconst extension = extensions.get( 'WEBGL_lose_context' );\n\t\t\tif ( extension ) extension.restoreContext();\n\n\t\t};\n\n\t\tthis.getPixelRatio = function () {\n\n\t\t\treturn _pixelRatio;\n\n\t\t};\n\n\t\tthis.setPixelRatio = function ( value ) {\n\n\t\t\tif ( value === undefined ) return;\n\n\t\t\t_pixelRatio = value;\n\n\t\t\tthis.setSize( _width, _height, false );\n\n\t\t};\n\n\t\tthis.getSize = function ( target ) {\n\n\t\t\treturn target.set( _width, _height );\n\n\t\t};\n\n\t\tthis.setSize = function ( width, height, updateStyle = true ) {\n\n\t\t\tif ( xr.isPresenting ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Can\\'t change size while VR device is presenting.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t_width = width;\n\t\t\t_height = height;\n\n\t\t\tcanvas.width = Math.floor( width * _pixelRatio );\n\t\t\tcanvas.height = Math.floor( height * _pixelRatio );\n\n\t\t\tif ( updateStyle === true ) {\n\n\t\t\t\tcanvas.style.width = width + 'px';\n\t\t\t\tcanvas.style.height = height + 'px';\n\n\t\t\t}\n\n\t\t\tthis.setViewport( 0, 0, width, height );\n\n\t\t};\n\n\t\tthis.getDrawingBufferSize = function ( target ) {\n\n\t\t\treturn target.set( _width * _pixelRatio, _height * _pixelRatio ).floor();\n\n\t\t};\n\n\t\tthis.setDrawingBufferSize = function ( width, height, pixelRatio ) {\n\n\t\t\t_width = width;\n\t\t\t_height = height;\n\n\t\t\t_pixelRatio = pixelRatio;\n\n\t\t\tcanvas.width = Math.floor( width * pixelRatio );\n\t\t\tcanvas.height = Math.floor( height * pixelRatio );\n\n\t\t\tthis.setViewport( 0, 0, width, height );\n\n\t\t};\n\n\t\tthis.getCurrentViewport = function ( target ) {\n\n\t\t\treturn target.copy( _currentViewport );\n\n\t\t};\n\n\t\tthis.getViewport = function ( target ) {\n\n\t\t\treturn target.copy( _viewport );\n\n\t\t};\n\n\t\tthis.setViewport = function ( x, y, width, height ) {\n\n\t\t\tif ( x.isVector4 ) {\n\n\t\t\t\t_viewport.set( x.x, x.y, x.z, x.w );\n\n\t\t\t} else {\n\n\t\t\t\t_viewport.set( x, y, width, height );\n\n\t\t\t}\n\n\t\t\tstate.viewport( _currentViewport.copy( _viewport ).multiplyScalar( _pixelRatio ).floor() );\n\n\t\t};\n\n\t\tthis.getScissor = function ( target ) {\n\n\t\t\treturn target.copy( _scissor );\n\n\t\t};\n\n\t\tthis.setScissor = function ( x, y, width, height ) {\n\n\t\t\tif ( x.isVector4 ) {\n\n\t\t\t\t_scissor.set( x.x, x.y, x.z, x.w );\n\n\t\t\t} else {\n\n\t\t\t\t_scissor.set( x, y, width, height );\n\n\t\t\t}\n\n\t\t\tstate.scissor( _currentScissor.copy( _scissor ).multiplyScalar( _pixelRatio ).floor() );\n\n\t\t};\n\n\t\tthis.getScissorTest = function () {\n\n\t\t\treturn _scissorTest;\n\n\t\t};\n\n\t\tthis.setScissorTest = function ( boolean ) {\n\n\t\t\tstate.setScissorTest( _scissorTest = boolean );\n\n\t\t};\n\n\t\tthis.setOpaqueSort = function ( method ) {\n\n\t\t\t_opaqueSort = method;\n\n\t\t};\n\n\t\tthis.setTransparentSort = function ( method ) {\n\n\t\t\t_transparentSort = method;\n\n\t\t};\n\n\t\t// Clearing\n\n\t\tthis.getClearColor = function ( target ) {\n\n\t\t\treturn target.copy( background.getClearColor() );\n\n\t\t};\n\n\t\tthis.setClearColor = function () {\n\n\t\t\tbackground.setClearColor.apply( background, arguments );\n\n\t\t};\n\n\t\tthis.getClearAlpha = function () {\n\n\t\t\treturn background.getClearAlpha();\n\n\t\t};\n\n\t\tthis.setClearAlpha = function () {\n\n\t\t\tbackground.setClearAlpha.apply( background, arguments );\n\n\t\t};\n\n\t\tthis.clear = function ( color = true, depth = true, stencil = true ) {\n\n\t\t\tlet bits = 0;\n\n\t\t\tif ( color ) {\n\n\t\t\t\t// check if we're trying to clear an integer target\n\t\t\t\tlet isIntegerFormat = false;\n\t\t\t\tif ( _currentRenderTarget !== null ) {\n\n\t\t\t\t\tconst targetFormat = _currentRenderTarget.texture.format;\n\t\t\t\t\tisIntegerFormat = targetFormat === RGBAIntegerFormat ||\n\t\t\t\t\t\ttargetFormat === RGIntegerFormat ||\n\t\t\t\t\t\ttargetFormat === RedIntegerFormat;\n\n\t\t\t\t}\n\n\t\t\t\t// use the appropriate clear functions to clear the target if it's a signed\n\t\t\t\t// or unsigned integer target\n\t\t\t\tif ( isIntegerFormat ) {\n\n\t\t\t\t\tconst targetType = _currentRenderTarget.texture.type;\n\t\t\t\t\tconst isUnsignedType = targetType === UnsignedByteType ||\n\t\t\t\t\t\ttargetType === UnsignedIntType ||\n\t\t\t\t\t\ttargetType === UnsignedShortType ||\n\t\t\t\t\t\ttargetType === UnsignedInt248Type ||\n\t\t\t\t\t\ttargetType === UnsignedShort4444Type ||\n\t\t\t\t\t\ttargetType === UnsignedShort5551Type;\n\n\t\t\t\t\tconst clearColor = background.getClearColor();\n\t\t\t\t\tconst a = background.getClearAlpha();\n\t\t\t\t\tconst r = clearColor.r;\n\t\t\t\t\tconst g = clearColor.g;\n\t\t\t\t\tconst b = clearColor.b;\n\n\t\t\t\t\tif ( isUnsignedType ) {\n\n\t\t\t\t\t\tuintClearColor[ 0 ] = r;\n\t\t\t\t\t\tuintClearColor[ 1 ] = g;\n\t\t\t\t\t\tuintClearColor[ 2 ] = b;\n\t\t\t\t\t\tuintClearColor[ 3 ] = a;\n\t\t\t\t\t\t_gl.clearBufferuiv( _gl.COLOR, 0, uintClearColor );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tintClearColor[ 0 ] = r;\n\t\t\t\t\t\tintClearColor[ 1 ] = g;\n\t\t\t\t\t\tintClearColor[ 2 ] = b;\n\t\t\t\t\t\tintClearColor[ 3 ] = a;\n\t\t\t\t\t\t_gl.clearBufferiv( _gl.COLOR, 0, intClearColor );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbits |= _gl.COLOR_BUFFER_BIT;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( depth ) bits |= _gl.DEPTH_BUFFER_BIT;\n\t\t\tif ( stencil ) {\n\n\t\t\t\tbits |= _gl.STENCIL_BUFFER_BIT;\n\t\t\t\tthis.state.buffers.stencil.setMask( 0xffffffff );\n\n\t\t\t}\n\n\t\t\t_gl.clear( bits );\n\n\t\t};\n\n\t\tthis.clearColor = function () {\n\n\t\t\tthis.clear( true, false, false );\n\n\t\t};\n\n\t\tthis.clearDepth = function () {\n\n\t\t\tthis.clear( false, true, false );\n\n\t\t};\n\n\t\tthis.clearStencil = function () {\n\n\t\t\tthis.clear( false, false, true );\n\n\t\t};\n\n\t\t//\n\n\t\tthis.dispose = function () {\n\n\t\t\tcanvas.removeEventListener( 'webglcontextlost', onContextLost, false );\n\t\t\tcanvas.removeEventListener( 'webglcontextrestored', onContextRestore, false );\n\t\t\tcanvas.removeEventListener( 'webglcontextcreationerror', onContextCreationError, false );\n\n\t\t\trenderLists.dispose();\n\t\t\trenderStates.dispose();\n\t\t\tproperties.dispose();\n\t\t\tcubemaps.dispose();\n\t\t\tcubeuvmaps.dispose();\n\t\t\tobjects.dispose();\n\t\t\tbindingStates.dispose();\n\t\t\tuniformsGroups.dispose();\n\t\t\tprogramCache.dispose();\n\n\t\t\txr.dispose();\n\n\t\t\txr.removeEventListener( 'sessionstart', onXRSessionStart );\n\t\t\txr.removeEventListener( 'sessionend', onXRSessionEnd );\n\n\t\t\tif ( _transmissionRenderTarget ) {\n\n\t\t\t\t_transmissionRenderTarget.dispose();\n\t\t\t\t_transmissionRenderTarget = null;\n\n\t\t\t}\n\n\t\t\tanimation.stop();\n\n\t\t};\n\n\t\t// Events\n\n\t\tfunction onContextLost( event ) {\n\n\t\t\tevent.preventDefault();\n\n\t\t\tconsole.log( 'THREE.WebGLRenderer: Context Lost.' );\n\n\t\t\t_isContextLost = true;\n\n\t\t}\n\n\t\tfunction onContextRestore( /* event */ ) {\n\n\t\t\tconsole.log( 'THREE.WebGLRenderer: Context Restored.' );\n\n\t\t\t_isContextLost = false;\n\n\t\t\tconst infoAutoReset = info.autoReset;\n\t\t\tconst shadowMapEnabled = shadowMap.enabled;\n\t\t\tconst shadowMapAutoUpdate = shadowMap.autoUpdate;\n\t\t\tconst shadowMapNeedsUpdate = shadowMap.needsUpdate;\n\t\t\tconst shadowMapType = shadowMap.type;\n\n\t\t\tinitGLContext();\n\n\t\t\tinfo.autoReset = infoAutoReset;\n\t\t\tshadowMap.enabled = shadowMapEnabled;\n\t\t\tshadowMap.autoUpdate = shadowMapAutoUpdate;\n\t\t\tshadowMap.needsUpdate = shadowMapNeedsUpdate;\n\t\t\tshadowMap.type = shadowMapType;\n\n\t\t}\n\n\t\tfunction onContextCreationError( event ) {\n\n\t\t\tconsole.error( 'THREE.WebGLRenderer: A WebGL context could not be created. Reason: ', event.statusMessage );\n\n\t\t}\n\n\t\tfunction onMaterialDispose( event ) {\n\n\t\t\tconst material = event.target;\n\n\t\t\tmaterial.removeEventListener( 'dispose', onMaterialDispose );\n\n\t\t\tdeallocateMaterial( material );\n\n\t\t}\n\n\t\t// Buffer deallocation\n\n\t\tfunction deallocateMaterial( material ) {\n\n\t\t\treleaseMaterialProgramReferences( material );\n\n\t\t\tproperties.remove( material );\n\n\t\t}\n\n\n\t\tfunction releaseMaterialProgramReferences( material ) {\n\n\t\t\tconst programs = properties.get( material ).programs;\n\n\t\t\tif ( programs !== undefined ) {\n\n\t\t\t\tprograms.forEach( function ( program ) {\n\n\t\t\t\t\tprogramCache.releaseProgram( program );\n\n\t\t\t\t} );\n\n\t\t\t\tif ( material.isShaderMaterial ) {\n\n\t\t\t\t\tprogramCache.releaseShaderCache( material );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Buffer rendering\n\n\t\tthis.renderBufferDirect = function ( camera, scene, geometry, material, object, group ) {\n\n\t\t\tif ( scene === null ) scene = _emptyScene; // renderBufferDirect second parameter used to be fog (could be null)\n\n\t\t\tconst frontFaceCW = ( object.isMesh && object.matrixWorld.determinant() < 0 );\n\n\t\t\tconst program = setProgram( camera, scene, geometry, material, object );\n\n\t\t\tstate.setMaterial( material, frontFaceCW );\n\n\t\t\t//\n\n\t\t\tlet index = geometry.index;\n\t\t\tlet rangeFactor = 1;\n\n\t\t\tif ( material.wireframe === true ) {\n\n\t\t\t\tindex = geometries.getWireframeAttribute( geometry );\n\n\t\t\t\tif ( index === undefined ) return;\n\n\t\t\t\trangeFactor = 2;\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tconst drawRange = geometry.drawRange;\n\t\t\tconst position = geometry.attributes.position;\n\n\t\t\tlet drawStart = drawRange.start * rangeFactor;\n\t\t\tlet drawEnd = ( drawRange.start + drawRange.count ) * rangeFactor;\n\n\t\t\tif ( group !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, group.start * rangeFactor );\n\t\t\t\tdrawEnd = Math.min( drawEnd, ( group.start + group.count ) * rangeFactor );\n\n\t\t\t}\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, 0 );\n\t\t\t\tdrawEnd = Math.min( drawEnd, index.count );\n\n\t\t\t} else if ( position !== undefined && position !== null ) {\n\n\t\t\t\tdrawStart = Math.max( drawStart, 0 );\n\t\t\t\tdrawEnd = Math.min( drawEnd, position.count );\n\n\t\t\t}\n\n\t\t\tconst drawCount = drawEnd - drawStart;\n\n\t\t\tif ( drawCount < 0 || drawCount === Infinity ) return;\n\n\t\t\t//\n\n\t\t\tbindingStates.setup( object, material, program, geometry, index );\n\n\t\t\tlet attribute;\n\t\t\tlet renderer = bufferRenderer;\n\n\t\t\tif ( index !== null ) {\n\n\t\t\t\tattribute = attributes.get( index );\n\n\t\t\t\trenderer = indexedBufferRenderer;\n\t\t\t\trenderer.setIndex( attribute );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( object.isMesh ) {\n\n\t\t\t\tif ( material.wireframe === true ) {\n\n\t\t\t\t\tstate.setLineWidth( material.wireframeLinewidth * getTargetPixelRatio() );\n\t\t\t\t\trenderer.setMode( _gl.LINES );\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderer.setMode( _gl.TRIANGLES );\n\n\t\t\t\t}\n\n\t\t\t} else if ( object.isLine ) {\n\n\t\t\t\tlet lineWidth = material.linewidth;\n\n\t\t\t\tif ( lineWidth === undefined ) lineWidth = 1; // Not using Line*Material\n\n\t\t\t\tstate.setLineWidth( lineWidth * getTargetPixelRatio() );\n\n\t\t\t\tif ( object.isLineSegments ) {\n\n\t\t\t\t\trenderer.setMode( _gl.LINES );\n\n\t\t\t\t} else if ( object.isLineLoop ) {\n\n\t\t\t\t\trenderer.setMode( _gl.LINE_LOOP );\n\n\t\t\t\t} else {\n\n\t\t\t\t\trenderer.setMode( _gl.LINE_STRIP );\n\n\t\t\t\t}\n\n\t\t\t} else if ( object.isPoints ) {\n\n\t\t\t\trenderer.setMode( _gl.POINTS );\n\n\t\t\t} else if ( object.isSprite ) {\n\n\t\t\t\trenderer.setMode( _gl.TRIANGLES );\n\n\t\t\t}\n\n\t\t\tif ( object.isBatchedMesh ) {\n\n\t\t\t\trenderer.renderMultiDraw( object._multiDrawStarts, object._multiDrawCounts, object._multiDrawCount );\n\n\t\t\t} else if ( object.isInstancedMesh ) {\n\n\t\t\t\trenderer.renderInstances( drawStart, drawCount, object.count );\n\n\t\t\t} else if ( geometry.isInstancedBufferGeometry ) {\n\n\t\t\t\tconst maxInstanceCount = geometry._maxInstanceCount !== undefined ? geometry._maxInstanceCount : Infinity;\n\t\t\t\tconst instanceCount = Math.min( geometry.instanceCount, maxInstanceCount );\n\n\t\t\t\trenderer.renderInstances( drawStart, drawCount, instanceCount );\n\n\t\t\t} else {\n\n\t\t\t\trenderer.render( drawStart, drawCount );\n\n\t\t\t}\n\n\t\t};\n\n\t\t// Compile\n\n\t\tfunction prepareMaterial( material, scene, object ) {\n\n\t\t\tif ( material.transparent === true && material.side === DoubleSide && material.forceSinglePass === false ) {\n\n\t\t\t\tmaterial.side = BackSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t\tmaterial.side = FrontSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t\tmaterial.side = DoubleSide;\n\n\t\t\t} else {\n\n\t\t\t\tgetProgram( material, scene, object );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.compile = function ( scene, camera, targetScene = null ) {\n\n\t\t\tif ( targetScene === null ) targetScene = scene;\n\n\t\t\tcurrentRenderState = renderStates.get( targetScene );\n\t\t\tcurrentRenderState.init();\n\n\t\t\trenderStateStack.push( currentRenderState );\n\n\t\t\t// gather lights from both the target scene and the new object that will be added to the scene.\n\n\t\t\ttargetScene.traverseVisible( function ( object ) {\n\n\t\t\t\tif ( object.isLight && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t\tif ( scene !== targetScene ) {\n\n\t\t\t\tscene.traverseVisible( function ( object ) {\n\n\t\t\t\t\tif ( object.isLight && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t\tcurrentRenderState.setupLights( _this._useLegacyLights );\n\n\t\t\t// Only initialize materials in the new scene, not the targetScene.\n\n\t\t\tconst materials = new Set();\n\n\t\t\tscene.traverse( function ( object ) {\n\n\t\t\t\tconst material = object.material;\n\n\t\t\t\tif ( material ) {\n\n\t\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\t\tfor ( let i = 0; i < material.length; i ++ ) {\n\n\t\t\t\t\t\t\tconst material2 = material[ i ];\n\n\t\t\t\t\t\t\tprepareMaterial( material2, targetScene, object );\n\t\t\t\t\t\t\tmaterials.add( material2 );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tprepareMaterial( material, targetScene, object );\n\t\t\t\t\t\tmaterials.add( material );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t\trenderStateStack.pop();\n\t\t\tcurrentRenderState = null;\n\n\t\t\treturn materials;\n\n\t\t};\n\n\t\t// compileAsync\n\n\t\tthis.compileAsync = function ( scene, camera, targetScene = null ) {\n\n\t\t\tconst materials = this.compile( scene, camera, targetScene );\n\n\t\t\t// Wait for all the materials in the new object to indicate that they're\n\t\t\t// ready to be used before resolving the promise.\n\n\t\t\treturn new Promise( ( resolve ) => {\n\n\t\t\t\tfunction checkMaterialsReady() {\n\n\t\t\t\t\tmaterials.forEach( function ( material ) {\n\n\t\t\t\t\t\tconst materialProperties = properties.get( material );\n\t\t\t\t\t\tconst program = materialProperties.currentProgram;\n\n\t\t\t\t\t\tif ( program.isReady() ) {\n\n\t\t\t\t\t\t\t// remove any programs that report they're ready to use from the list\n\t\t\t\t\t\t\tmaterials.delete( material );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} );\n\n\t\t\t\t\t// once the list of compiling materials is empty, call the callback\n\n\t\t\t\t\tif ( materials.size === 0 ) {\n\n\t\t\t\t\t\tresolve( scene );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// if some materials are still not ready, wait a bit and check again\n\n\t\t\t\t\tsetTimeout( checkMaterialsReady, 10 );\n\n\t\t\t\t}\n\n\t\t\t\tif ( extensions.get( 'KHR_parallel_shader_compile' ) !== null ) {\n\n\t\t\t\t\t// If we can check the compilation status of the materials without\n\t\t\t\t\t// blocking then do so right away.\n\n\t\t\t\t\tcheckMaterialsReady();\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// Otherwise start by waiting a bit to give the materials we just\n\t\t\t\t\t// initialized a chance to finish.\n\n\t\t\t\t\tsetTimeout( checkMaterialsReady, 10 );\n\n\t\t\t\t}\n\n\t\t\t} );\n\n\t\t};\n\n\t\t// Animation Loop\n\n\t\tlet onAnimationFrameCallback = null;\n\n\t\tfunction onAnimationFrame( time ) {\n\n\t\t\tif ( onAnimationFrameCallback ) onAnimationFrameCallback( time );\n\n\t\t}\n\n\t\tfunction onXRSessionStart() {\n\n\t\t\tanimation.stop();\n\n\t\t}\n\n\t\tfunction onXRSessionEnd() {\n\n\t\t\tanimation.start();\n\n\t\t}\n\n\t\tconst animation = new WebGLAnimation();\n\t\tanimation.setAnimationLoop( onAnimationFrame );\n\n\t\tif ( typeof self !== 'undefined' ) animation.setContext( self );\n\n\t\tthis.setAnimationLoop = function ( callback ) {\n\n\t\t\tonAnimationFrameCallback = callback;\n\t\t\txr.setAnimationLoop( callback );\n\n\t\t\t( callback === null ) ? animation.stop() : animation.start();\n\n\t\t};\n\n\t\txr.addEventListener( 'sessionstart', onXRSessionStart );\n\t\txr.addEventListener( 'sessionend', onXRSessionEnd );\n\n\t\t// Rendering\n\n\t\tthis.render = function ( scene, camera ) {\n\n\t\t\tif ( camera !== undefined && camera.isCamera !== true ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tif ( _isContextLost === true ) return;\n\n\t\t\t// update scene graph\n\n\t\t\tif ( scene.matrixWorldAutoUpdate === true ) scene.updateMatrixWorld();\n\n\t\t\t// update camera matrices and frustum\n\n\t\t\tif ( camera.parent === null && camera.matrixWorldAutoUpdate === true ) camera.updateMatrixWorld();\n\n\t\t\tif ( xr.enabled === true && xr.isPresenting === true ) {\n\n\t\t\t\tif ( xr.cameraAutoUpdate === true ) xr.updateCamera( camera );\n\n\t\t\t\tcamera = xr.getCamera(); // use XR camera for rendering\n\n\t\t\t}\n\n\t\t\t//\n\t\t\tif ( scene.isScene === true ) scene.onBeforeRender( _this, scene, camera, _currentRenderTarget );\n\n\t\t\tcurrentRenderState = renderStates.get( scene, renderStateStack.length );\n\t\t\tcurrentRenderState.init();\n\n\t\t\trenderStateStack.push( currentRenderState );\n\n\t\t\t_projScreenMatrix.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse );\n\t\t\t_frustum.setFromProjectionMatrix( _projScreenMatrix );\n\n\t\t\t_localClippingEnabled = this.localClippingEnabled;\n\t\t\t_clippingEnabled = clipping.init( this.clippingPlanes, _localClippingEnabled );\n\n\t\t\tcurrentRenderList = renderLists.get( scene, renderListStack.length );\n\t\t\tcurrentRenderList.init();\n\n\t\t\trenderListStack.push( currentRenderList );\n\n\t\t\tprojectObject( scene, camera, 0, _this.sortObjects );\n\n\t\t\tcurrentRenderList.finish();\n\n\t\t\tif ( _this.sortObjects === true ) {\n\n\t\t\t\tcurrentRenderList.sort( _opaqueSort, _transparentSort );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tthis.info.render.frame ++;\n\n\t\t\tif ( _clippingEnabled === true ) clipping.beginShadows();\n\n\t\t\tconst shadowsArray = currentRenderState.state.shadowsArray;\n\n\t\t\tshadowMap.render( shadowsArray, scene, camera );\n\n\t\t\tif ( _clippingEnabled === true ) clipping.endShadows();\n\n\t\t\t//\n\n\t\t\tif ( this.info.autoReset === true ) this.info.reset();\n\n\n\t\t\t//\n\n\t\t\tbackground.render( currentRenderList, scene );\n\n\t\t\t// render scene\n\n\t\t\tcurrentRenderState.setupLights( _this._useLegacyLights );\n\n\t\t\tif ( camera.isArrayCamera ) {\n\n\t\t\t\tconst cameras = camera.cameras;\n\n\t\t\t\tfor ( let i = 0, l = cameras.length; i < l; i ++ ) {\n\n\t\t\t\t\tconst camera2 = cameras[ i ];\n\n\t\t\t\t\trenderScene( currentRenderList, scene, camera2, camera2.viewport );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\trenderScene( currentRenderList, scene, camera );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( _currentRenderTarget !== null ) {\n\n\t\t\t\t// resolve multisample renderbuffers to a single-sample texture if necessary\n\n\t\t\t\ttextures.updateMultisampleRenderTarget( _currentRenderTarget );\n\n\t\t\t\t// Generate mipmap if we're using any kind of mipmap filtering\n\n\t\t\t\ttextures.updateRenderTargetMipmap( _currentRenderTarget );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tif ( scene.isScene === true ) scene.onAfterRender( _this, scene, camera );\n\n\t\t\t// _gl.finish();\n\n\t\t\tbindingStates.resetDefaultState();\n\t\t\t_currentMaterialId = - 1;\n\t\t\t_currentCamera = null;\n\n\t\t\trenderStateStack.pop();\n\n\t\t\tif ( renderStateStack.length > 0 ) {\n\n\t\t\t\tcurrentRenderState = renderStateStack[ renderStateStack.length - 1 ];\n\n\t\t\t} else {\n\n\t\t\t\tcurrentRenderState = null;\n\n\t\t\t}\n\n\t\t\trenderListStack.pop();\n\n\t\t\tif ( renderListStack.length > 0 ) {\n\n\t\t\t\tcurrentRenderList = renderListStack[ renderListStack.length - 1 ];\n\n\t\t\t} else {\n\n\t\t\t\tcurrentRenderList = null;\n\n\t\t\t}\n\n\t\t};\n\n\t\tfunction projectObject( object, camera, groupOrder, sortObjects ) {\n\n\t\t\tif ( object.visible === false ) return;\n\n\t\t\tconst visible = object.layers.test( camera.layers );\n\n\t\t\tif ( visible ) {\n\n\t\t\t\tif ( object.isGroup ) {\n\n\t\t\t\t\tgroupOrder = object.renderOrder;\n\n\t\t\t\t} else if ( object.isLOD ) {\n\n\t\t\t\t\tif ( object.autoUpdate === true ) object.update( camera );\n\n\t\t\t\t} else if ( object.isLight ) {\n\n\t\t\t\t\tcurrentRenderState.pushLight( object );\n\n\t\t\t\t\tif ( object.castShadow ) {\n\n\t\t\t\t\t\tcurrentRenderState.pushShadow( object );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( object.isSprite ) {\n\n\t\t\t\t\tif ( ! object.frustumCulled || _frustum.intersectsSprite( object ) ) {\n\n\t\t\t\t\t\tif ( sortObjects ) {\n\n\t\t\t\t\t\t\t_vector3.setFromMatrixPosition( object.matrixWorld )\n\t\t\t\t\t\t\t\t.applyMatrix4( _projScreenMatrix );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tconst geometry = objects.update( object );\n\t\t\t\t\t\tconst material = object.material;\n\n\t\t\t\t\t\tif ( material.visible ) {\n\n\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, material, groupOrder, _vector3.z, null );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( object.isMesh || object.isLine || object.isPoints ) {\n\n\t\t\t\t\tif ( ! object.frustumCulled || _frustum.intersectsObject( object ) ) {\n\n\t\t\t\t\t\tconst geometry = objects.update( object );\n\t\t\t\t\t\tconst material = object.material;\n\n\t\t\t\t\t\tif ( sortObjects ) {\n\n\t\t\t\t\t\t\tif ( object.boundingSphere !== undefined ) {\n\n\t\t\t\t\t\t\t\tif ( object.boundingSphere === null ) object.computeBoundingSphere();\n\t\t\t\t\t\t\t\t_vector3.copy( object.boundingSphere.center );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\t\t\t\t\t\t\t\t_vector3.copy( geometry.boundingSphere.center );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t_vector3\n\t\t\t\t\t\t\t\t.applyMatrix4( object.matrixWorld )\n\t\t\t\t\t\t\t\t.applyMatrix4( _projScreenMatrix );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif ( Array.isArray( material ) ) {\n\n\t\t\t\t\t\t\tconst groups = geometry.groups;\n\n\t\t\t\t\t\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\t\t\t\t\t\tconst group = groups[ i ];\n\t\t\t\t\t\t\t\tconst groupMaterial = material[ group.materialIndex ];\n\n\t\t\t\t\t\t\t\tif ( groupMaterial && groupMaterial.visible ) {\n\n\t\t\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, groupMaterial, groupOrder, _vector3.z, group );\n\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else if ( material.visible ) {\n\n\t\t\t\t\t\t\tcurrentRenderList.push( object, geometry, material, groupOrder, _vector3.z, null );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst children = object.children;\n\n\t\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\t\tprojectObject( children[ i ], camera, groupOrder, sortObjects );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction renderScene( currentRenderList, scene, camera, viewport ) {\n\n\t\t\tconst opaqueObjects = currentRenderList.opaque;\n\t\t\tconst transmissiveObjects = currentRenderList.transmissive;\n\t\t\tconst transparentObjects = currentRenderList.transparent;\n\n\t\t\tcurrentRenderState.setupLightsView( camera );\n\n\t\t\tif ( _clippingEnabled === true ) clipping.setGlobalState( _this.clippingPlanes, camera );\n\n\t\t\tif ( transmissiveObjects.length > 0 ) renderTransmissionPass( opaqueObjects, transmissiveObjects, scene, camera );\n\n\t\t\tif ( viewport ) state.viewport( _currentViewport.copy( viewport ) );\n\n\t\t\tif ( opaqueObjects.length > 0 ) renderObjects( opaqueObjects, scene, camera );\n\t\t\tif ( transmissiveObjects.length > 0 ) renderObjects( transmissiveObjects, scene, camera );\n\t\t\tif ( transparentObjects.length > 0 ) renderObjects( transparentObjects, scene, camera );\n\n\t\t\t// Ensure depth buffer writing is enabled so it can be cleared on next render\n\n\t\t\tstate.buffers.depth.setTest( true );\n\t\t\tstate.buffers.depth.setMask( true );\n\t\t\tstate.buffers.color.setMask( true );\n\n\t\t\tstate.setPolygonOffset( false );\n\n\t\t}\n\n\t\tfunction renderTransmissionPass( opaqueObjects, transmissiveObjects, scene, camera ) {\n\n\t\t\tconst overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\n\n\t\t\tif ( overrideMaterial !== null ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst isWebGL2 = capabilities.isWebGL2;\n\n\t\t\tif ( _transmissionRenderTarget === null ) {\n\n\t\t\t\t_transmissionRenderTarget = new WebGLRenderTarget( 1, 1, {\n\t\t\t\t\tgenerateMipmaps: true,\n\t\t\t\t\ttype: extensions.has( 'EXT_color_buffer_half_float' ) ? HalfFloatType : UnsignedByteType,\n\t\t\t\t\tminFilter: LinearMipmapLinearFilter,\n\t\t\t\t\tsamples: ( isWebGL2 ) ? 4 : 0\n\t\t\t\t} );\n\n\t\t\t\t// debug\n\n\t\t\t\t/*\n\t\t\t\tconst geometry = new PlaneGeometry();\n\t\t\t\tconst material = new MeshBasicMaterial( { map: _transmissionRenderTarget.texture } );\n\n\t\t\t\tconst mesh = new Mesh( geometry, material );\n\t\t\t\tscene.add( mesh );\n\t\t\t\t*/\n\n\t\t\t}\n\n\t\t\t_this.getDrawingBufferSize( _vector2 );\n\n\t\t\tif ( isWebGL2 ) {\n\n\t\t\t\t_transmissionRenderTarget.setSize( _vector2.x, _vector2.y );\n\n\t\t\t} else {\n\n\t\t\t\t_transmissionRenderTarget.setSize( floorPowerOfTwo( _vector2.x ), floorPowerOfTwo( _vector2.y ) );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tconst currentRenderTarget = _this.getRenderTarget();\n\t\t\t_this.setRenderTarget( _transmissionRenderTarget );\n\n\t\t\t_this.getClearColor( _currentClearColor );\n\t\t\t_currentClearAlpha = _this.getClearAlpha();\n\t\t\tif ( _currentClearAlpha < 1 ) _this.setClearColor( 0xffffff, 0.5 );\n\n\t\t\t_this.clear();\n\n\t\t\t// Turn off the features which can affect the frag color for opaque objects pass.\n\t\t\t// Otherwise they are applied twice in opaque objects pass and transmission objects pass.\n\t\t\tconst currentToneMapping = _this.toneMapping;\n\t\t\t_this.toneMapping = NoToneMapping;\n\n\t\t\trenderObjects( opaqueObjects, scene, camera );\n\n\t\t\ttextures.updateMultisampleRenderTarget( _transmissionRenderTarget );\n\t\t\ttextures.updateRenderTargetMipmap( _transmissionRenderTarget );\n\n\t\t\tlet renderTargetNeedsUpdate = false;\n\n\t\t\tfor ( let i = 0, l = transmissiveObjects.length; i < l; i ++ ) {\n\n\t\t\t\tconst renderItem = transmissiveObjects[ i ];\n\n\t\t\t\tconst object = renderItem.object;\n\t\t\t\tconst geometry = renderItem.geometry;\n\t\t\t\tconst material = renderItem.material;\n\t\t\t\tconst group = renderItem.group;\n\n\t\t\t\tif ( material.side === DoubleSide && object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\tconst currentSide = material.side;\n\n\t\t\t\t\tmaterial.side = BackSide;\n\t\t\t\t\tmaterial.needsUpdate = true;\n\n\t\t\t\t\trenderObject( object, scene, camera, geometry, material, group );\n\n\t\t\t\t\tmaterial.side = currentSide;\n\t\t\t\t\tmaterial.needsUpdate = true;\n\n\t\t\t\t\trenderTargetNeedsUpdate = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( renderTargetNeedsUpdate === true ) {\n\n\t\t\t\ttextures.updateMultisampleRenderTarget( _transmissionRenderTarget );\n\t\t\t\ttextures.updateRenderTargetMipmap( _transmissionRenderTarget );\n\n\t\t\t}\n\n\t\t\t_this.setRenderTarget( currentRenderTarget );\n\n\t\t\t_this.setClearColor( _currentClearColor, _currentClearAlpha );\n\n\t\t\t_this.toneMapping = currentToneMapping;\n\n\t\t}\n\n\t\tfunction renderObjects( renderList, scene, camera ) {\n\n\t\t\tconst overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\n\n\t\t\tfor ( let i = 0, l = renderList.length; i < l; i ++ ) {\n\n\t\t\t\tconst renderItem = renderList[ i ];\n\n\t\t\t\tconst object = renderItem.object;\n\t\t\t\tconst geometry = renderItem.geometry;\n\t\t\t\tconst material = overrideMaterial === null ? renderItem.material : overrideMaterial;\n\t\t\t\tconst group = renderItem.group;\n\n\t\t\t\tif ( object.layers.test( camera.layers ) ) {\n\n\t\t\t\t\trenderObject( object, scene, camera, geometry, material, group );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction renderObject( object, scene, camera, geometry, material, group ) {\n\n\t\t\tobject.onBeforeRender( _this, scene, camera, geometry, material, group );\n\n\t\t\tobject.modelViewMatrix.multiplyMatrices( camera.matrixWorldInverse, object.matrixWorld );\n\t\t\tobject.normalMatrix.getNormalMatrix( object.modelViewMatrix );\n\n\t\t\tmaterial.onBeforeRender( _this, scene, camera, geometry, object, group );\n\n\t\t\tif ( material.transparent === true && material.side === DoubleSide && material.forceSinglePass === false ) {\n\n\t\t\t\tmaterial.side = BackSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t\tmaterial.side = FrontSide;\n\t\t\t\tmaterial.needsUpdate = true;\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t\tmaterial.side = DoubleSide;\n\n\t\t\t} else {\n\n\t\t\t\t_this.renderBufferDirect( camera, scene, geometry, material, object, group );\n\n\t\t\t}\n\n\t\t\tobject.onAfterRender( _this, scene, camera, geometry, material, group );\n\n\t\t}\n\n\t\tfunction getProgram( material, scene, object ) {\n\n\t\t\tif ( scene.isScene !== true ) scene = _emptyScene; // scene could be a Mesh, Line, Points, ...\n\n\t\t\tconst materialProperties = properties.get( material );\n\n\t\t\tconst lights = currentRenderState.state.lights;\n\t\t\tconst shadowsArray = currentRenderState.state.shadowsArray;\n\n\t\t\tconst lightsStateVersion = lights.state.version;\n\n\t\t\tconst parameters = programCache.getParameters( material, lights.state, shadowsArray, scene, object );\n\t\t\tconst programCacheKey = programCache.getProgramCacheKey( parameters );\n\n\t\t\tlet programs = materialProperties.programs;\n\n\t\t\t// always update environment and fog - changing these trigger an getProgram call, but it's possible that the program doesn't change\n\n\t\t\tmaterialProperties.environment = material.isMeshStandardMaterial ? scene.environment : null;\n\t\t\tmaterialProperties.fog = scene.fog;\n\t\t\tmaterialProperties.envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || materialProperties.environment );\n\n\t\t\tif ( programs === undefined ) {\n\n\t\t\t\t// new material\n\n\t\t\t\tmaterial.addEventListener( 'dispose', onMaterialDispose );\n\n\t\t\t\tprograms = new Map();\n\t\t\t\tmaterialProperties.programs = programs;\n\n\t\t\t}\n\n\t\t\tlet program = programs.get( programCacheKey );\n\n\t\t\tif ( program !== undefined ) {\n\n\t\t\t\t// early out if program and light state is identical\n\n\t\t\t\tif ( materialProperties.currentProgram === program && materialProperties.lightsStateVersion === lightsStateVersion ) {\n\n\t\t\t\t\tupdateCommonMaterialProperties( material, parameters );\n\n\t\t\t\t\treturn program;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tparameters.uniforms = programCache.getUniforms( material );\n\n\t\t\t\tmaterial.onBuild( object, parameters, _this );\n\n\t\t\t\tmaterial.onBeforeCompile( parameters, _this );\n\n\t\t\t\tprogram = programCache.acquireProgram( parameters, programCacheKey );\n\t\t\t\tprograms.set( programCacheKey, program );\n\n\t\t\t\tmaterialProperties.uniforms = parameters.uniforms;\n\n\t\t\t}\n\n\t\t\tconst uniforms = materialProperties.uniforms;\n\n\t\t\tif ( ( ! material.isShaderMaterial && ! material.isRawShaderMaterial ) || material.clipping === true ) {\n\n\t\t\t\tuniforms.clippingPlanes = clipping.uniform;\n\n\t\t\t}\n\n\t\t\tupdateCommonMaterialProperties( material, parameters );\n\n\t\t\t// store the light setup it was created for\n\n\t\t\tmaterialProperties.needsLights = materialNeedsLights( material );\n\t\t\tmaterialProperties.lightsStateVersion = lightsStateVersion;\n\n\t\t\tif ( materialProperties.needsLights ) {\n\n\t\t\t\t// wire up the material to this renderer's lighting state\n\n\t\t\t\tuniforms.ambientLightColor.value = lights.state.ambient;\n\t\t\t\tuniforms.lightProbe.value = lights.state.probe;\n\t\t\t\tuniforms.directionalLights.value = lights.state.directional;\n\t\t\t\tuniforms.directionalLightShadows.value = lights.state.directionalShadow;\n\t\t\t\tuniforms.spotLights.value = lights.state.spot;\n\t\t\t\tuniforms.spotLightShadows.value = lights.state.spotShadow;\n\t\t\t\tuniforms.rectAreaLights.value = lights.state.rectArea;\n\t\t\t\tuniforms.ltc_1.value = lights.state.rectAreaLTC1;\n\t\t\t\tuniforms.ltc_2.value = lights.state.rectAreaLTC2;\n\t\t\t\tuniforms.pointLights.value = lights.state.point;\n\t\t\t\tuniforms.pointLightShadows.value = lights.state.pointShadow;\n\t\t\t\tuniforms.hemisphereLights.value = lights.state.hemi;\n\n\t\t\t\tuniforms.directionalShadowMap.value = lights.state.directionalShadowMap;\n\t\t\t\tuniforms.directionalShadowMatrix.value = lights.state.directionalShadowMatrix;\n\t\t\t\tuniforms.spotShadowMap.value = lights.state.spotShadowMap;\n\t\t\t\tuniforms.spotLightMatrix.value = lights.state.spotLightMatrix;\n\t\t\t\tuniforms.spotLightMap.value = lights.state.spotLightMap;\n\t\t\t\tuniforms.pointShadowMap.value = lights.state.pointShadowMap;\n\t\t\t\tuniforms.pointShadowMatrix.value = lights.state.pointShadowMatrix;\n\t\t\t\t// TODO (abelnation): add area lights shadow info to uniforms\n\n\t\t\t}\n\n\t\t\tmaterialProperties.currentProgram = program;\n\t\t\tmaterialProperties.uniformsList = null;\n\n\t\t\treturn program;\n\n\t\t}\n\n\t\tfunction getUniformList( materialProperties ) {\n\n\t\t\tif ( materialProperties.uniformsList === null ) {\n\n\t\t\t\tconst progUniforms = materialProperties.currentProgram.getUniforms();\n\t\t\t\tmaterialProperties.uniformsList = WebGLUniforms.seqWithValue( progUniforms.seq, materialProperties.uniforms );\n\n\t\t\t}\n\n\t\t\treturn materialProperties.uniformsList;\n\n\t\t}\n\n\t\tfunction updateCommonMaterialProperties( material, parameters ) {\n\n\t\t\tconst materialProperties = properties.get( material );\n\n\t\t\tmaterialProperties.outputColorSpace = parameters.outputColorSpace;\n\t\t\tmaterialProperties.batching = parameters.batching;\n\t\t\tmaterialProperties.instancing = parameters.instancing;\n\t\t\tmaterialProperties.instancingColor = parameters.instancingColor;\n\t\t\tmaterialProperties.skinning = parameters.skinning;\n\t\t\tmaterialProperties.morphTargets = parameters.morphTargets;\n\t\t\tmaterialProperties.morphNormals = parameters.morphNormals;\n\t\t\tmaterialProperties.morphColors = parameters.morphColors;\n\t\t\tmaterialProperties.morphTargetsCount = parameters.morphTargetsCount;\n\t\t\tmaterialProperties.numClippingPlanes = parameters.numClippingPlanes;\n\t\t\tmaterialProperties.numIntersection = parameters.numClipIntersection;\n\t\t\tmaterialProperties.vertexAlphas = parameters.vertexAlphas;\n\t\t\tmaterialProperties.vertexTangents = parameters.vertexTangents;\n\t\t\tmaterialProperties.toneMapping = parameters.toneMapping;\n\n\t\t}\n\n\t\tfunction setProgram( camera, scene, geometry, material, object ) {\n\n\t\t\tif ( scene.isScene !== true ) scene = _emptyScene; // scene could be a Mesh, Line, Points, ...\n\n\t\t\ttextures.resetTextureUnits();\n\n\t\t\tconst fog = scene.fog;\n\t\t\tconst environment = material.isMeshStandardMaterial ? scene.environment : null;\n\t\t\tconst colorSpace = ( _currentRenderTarget === null ) ? _this.outputColorSpace : ( _currentRenderTarget.isXRRenderTarget === true ? _currentRenderTarget.texture.colorSpace : LinearSRGBColorSpace );\n\t\t\tconst envMap = ( material.isMeshStandardMaterial ? cubeuvmaps : cubemaps ).get( material.envMap || environment );\n\t\t\tconst vertexAlphas = material.vertexColors === true && !! geometry.attributes.color && geometry.attributes.color.itemSize === 4;\n\t\t\tconst vertexTangents = !! geometry.attributes.tangent && ( !! material.normalMap || material.anisotropy > 0 );\n\t\t\tconst morphTargets = !! geometry.morphAttributes.position;\n\t\t\tconst morphNormals = !! geometry.morphAttributes.normal;\n\t\t\tconst morphColors = !! geometry.morphAttributes.color;\n\n\t\t\tlet toneMapping = NoToneMapping;\n\n\t\t\tif ( material.toneMapped ) {\n\n\t\t\t\tif ( _currentRenderTarget === null || _currentRenderTarget.isXRRenderTarget === true ) {\n\n\t\t\t\t\ttoneMapping = _this.toneMapping;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst morphAttribute = geometry.morphAttributes.position || geometry.morphAttributes.normal || geometry.morphAttributes.color;\n\t\t\tconst morphTargetsCount = ( morphAttribute !== undefined ) ? morphAttribute.length : 0;\n\n\t\t\tconst materialProperties = properties.get( material );\n\t\t\tconst lights = currentRenderState.state.lights;\n\n\t\t\tif ( _clippingEnabled === true ) {\n\n\t\t\t\tif ( _localClippingEnabled === true || camera !== _currentCamera ) {\n\n\t\t\t\t\tconst useCache =\n\t\t\t\t\t\tcamera === _currentCamera &&\n\t\t\t\t\t\tmaterial.id === _currentMaterialId;\n\n\t\t\t\t\t// we might want to call this function with some ClippingGroup\n\t\t\t\t\t// object instead of the material, once it becomes feasible\n\t\t\t\t\t// (#8465, #8379)\n\t\t\t\t\tclipping.setState( material, camera, useCache );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet needsProgramChange = false;\n\n\t\t\tif ( material.version === materialProperties.__version ) {\n\n\t\t\t\tif ( materialProperties.needsLights && ( materialProperties.lightsStateVersion !== lights.state.version ) ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.outputColorSpace !== colorSpace ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isBatchedMesh && materialProperties.batching === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isBatchedMesh && materialProperties.batching === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancing === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isInstancedMesh && materialProperties.instancing === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isSkinnedMesh && materialProperties.skinning === false ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( ! object.isSkinnedMesh && materialProperties.skinning === true ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancingColor === true && object.instanceColor === null ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( object.isInstancedMesh && materialProperties.instancingColor === false && object.instanceColor !== null ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.envMap !== envMap ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( material.fog === true && materialProperties.fog !== fog ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.numClippingPlanes !== undefined &&\n\t\t\t\t\t( materialProperties.numClippingPlanes !== clipping.numPlanes ||\n\t\t\t\t\tmaterialProperties.numIntersection !== clipping.numIntersection ) ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.vertexAlphas !== vertexAlphas ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.vertexTangents !== vertexTangents ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphTargets !== morphTargets ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphNormals !== morphNormals ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.morphColors !== morphColors ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( materialProperties.toneMapping !== toneMapping ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t} else if ( capabilities.isWebGL2 === true && materialProperties.morphTargetsCount !== morphTargetsCount ) {\n\n\t\t\t\t\tneedsProgramChange = true;\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tneedsProgramChange = true;\n\t\t\t\tmaterialProperties.__version = material.version;\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\tlet program = materialProperties.currentProgram;\n\n\t\t\tif ( needsProgramChange === true ) {\n\n\t\t\t\tprogram = getProgram( material, scene, object );\n\n\t\t\t}\n\n\t\t\tlet refreshProgram = false;\n\t\t\tlet refreshMaterial = false;\n\t\t\tlet refreshLights = false;\n\n\t\t\tconst p_uniforms = program.getUniforms(),\n\t\t\t\tm_uniforms = materialProperties.uniforms;\n\n\t\t\tif ( state.useProgram( program.program ) ) {\n\n\t\t\t\trefreshProgram = true;\n\t\t\t\trefreshMaterial = true;\n\t\t\t\trefreshLights = true;\n\n\t\t\t}\n\n\t\t\tif ( material.id !== _currentMaterialId ) {\n\n\t\t\t\t_currentMaterialId = material.id;\n\n\t\t\t\trefreshMaterial = true;\n\n\t\t\t}\n\n\t\t\tif ( refreshProgram || _currentCamera !== camera ) {\n\n\t\t\t\t// common camera uniforms\n\n\t\t\t\tp_uniforms.setValue( _gl, 'projectionMatrix', camera.projectionMatrix );\n\t\t\t\tp_uniforms.setValue( _gl, 'viewMatrix', camera.matrixWorldInverse );\n\n\t\t\t\tconst uCamPos = p_uniforms.map.cameraPosition;\n\n\t\t\t\tif ( uCamPos !== undefined ) {\n\n\t\t\t\t\tuCamPos.setValue( _gl, _vector3.setFromMatrixPosition( camera.matrixWorld ) );\n\n\t\t\t\t}\n\n\t\t\t\tif ( capabilities.logarithmicDepthBuffer ) {\n\n\t\t\t\t\tp_uniforms.setValue( _gl, 'logDepthBufFC',\n\t\t\t\t\t\t2.0 / ( Math.log( camera.far + 1.0 ) / Math.LN2 ) );\n\n\t\t\t\t}\n\n\t\t\t\t// consider moving isOrthographic to UniformLib and WebGLMaterials, see https://github.com/mrdoob/three.js/pull/26467#issuecomment-1645185067\n\n\t\t\t\tif ( material.isMeshPhongMaterial ||\n\t\t\t\t\tmaterial.isMeshToonMaterial ||\n\t\t\t\t\tmaterial.isMeshLambertMaterial ||\n\t\t\t\t\tmaterial.isMeshBasicMaterial ||\n\t\t\t\t\tmaterial.isMeshStandardMaterial ||\n\t\t\t\t\tmaterial.isShaderMaterial ) {\n\n\t\t\t\t\tp_uniforms.setValue( _gl, 'isOrthographic', camera.isOrthographicCamera === true );\n\n\t\t\t\t}\n\n\t\t\t\tif ( _currentCamera !== camera ) {\n\n\t\t\t\t\t_currentCamera = camera;\n\n\t\t\t\t\t// lighting uniforms depend on the camera so enforce an update\n\t\t\t\t\t// now, in case this material supports lights - or later, when\n\t\t\t\t\t// the next material that does gets activated:\n\n\t\t\t\t\trefreshMaterial = true;\t\t// set to true on material change\n\t\t\t\t\trefreshLights = true;\t\t// remains set until update done\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// skinning and morph target uniforms must be set even if material didn't change\n\t\t\t// auto-setting of texture unit for bone and morph texture must go before other textures\n\t\t\t// otherwise textures used for skinning and morphing can take over texture units reserved for other material textures\n\n\t\t\tif ( object.isSkinnedMesh ) {\n\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'bindMatrix' );\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'bindMatrixInverse' );\n\n\t\t\t\tconst skeleton = object.skeleton;\n\n\t\t\t\tif ( skeleton ) {\n\n\t\t\t\t\tif ( capabilities.floatVertexTextures ) {\n\n\t\t\t\t\t\tif ( skeleton.boneTexture === null ) skeleton.computeBoneTexture();\n\n\t\t\t\t\t\tp_uniforms.setValue( _gl, 'boneTexture', skeleton.boneTexture, textures );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( object.isBatchedMesh ) {\n\n\t\t\t\tp_uniforms.setOptional( _gl, object, 'batchingTexture' );\n\t\t\t\tp_uniforms.setValue( _gl, 'batchingTexture', object._matricesTexture, textures );\n\n\t\t\t}\n\n\t\t\tconst morphAttributes = geometry.morphAttributes;\n\n\t\t\tif ( morphAttributes.position !== undefined || morphAttributes.normal !== undefined || ( morphAttributes.color !== undefined && capabilities.isWebGL2 === true ) ) {\n\n\t\t\t\tmorphtargets.update( object, geometry, program );\n\n\t\t\t}\n\n\t\t\tif ( refreshMaterial || materialProperties.receiveShadow !== object.receiveShadow ) {\n\n\t\t\t\tmaterialProperties.receiveShadow = object.receiveShadow;\n\t\t\t\tp_uniforms.setValue( _gl, 'receiveShadow', object.receiveShadow );\n\n\t\t\t}\n\n\t\t\t// https://github.com/mrdoob/three.js/pull/24467#issuecomment-1209031512\n\n\t\t\tif ( material.isMeshGouraudMaterial && material.envMap !== null ) {\n\n\t\t\t\tm_uniforms.envMap.value = envMap;\n\n\t\t\t\tm_uniforms.flipEnvMap.value = ( envMap.isCubeTexture && envMap.isRenderTargetTexture === false ) ? - 1 : 1;\n\n\t\t\t}\n\n\t\t\tif ( refreshMaterial ) {\n\n\t\t\t\tp_uniforms.setValue( _gl, 'toneMappingExposure', _this.toneMappingExposure );\n\n\t\t\t\tif ( materialProperties.needsLights ) {\n\n\t\t\t\t\t// the current material requires lighting info\n\n\t\t\t\t\t// note: all lighting uniforms are always set correctly\n\t\t\t\t\t// they simply reference the renderer's state for their\n\t\t\t\t\t// values\n\t\t\t\t\t//\n\t\t\t\t\t// use the current material's .needsUpdate flags to set\n\t\t\t\t\t// the GL state when required\n\n\t\t\t\t\tmarkUniformsLightsNeedsUpdate( m_uniforms, refreshLights );\n\n\t\t\t\t}\n\n\t\t\t\t// refresh uniforms common to several materials\n\n\t\t\t\tif ( fog && material.fog === true ) {\n\n\t\t\t\t\tmaterials.refreshFogUniforms( m_uniforms, fog );\n\n\t\t\t\t}\n\n\t\t\t\tmaterials.refreshMaterialUniforms( m_uniforms, material, _pixelRatio, _height, _transmissionRenderTarget );\n\n\t\t\t\tWebGLUniforms.upload( _gl, getUniformList( materialProperties ), m_uniforms, textures );\n\n\t\t\t}\n\n\t\t\tif ( material.isShaderMaterial && material.uniformsNeedUpdate === true ) {\n\n\t\t\t\tWebGLUniforms.upload( _gl, getUniformList( materialProperties ), m_uniforms, textures );\n\t\t\t\tmaterial.uniformsNeedUpdate = false;\n\n\t\t\t}\n\n\t\t\tif ( material.isSpriteMaterial ) {\n\n\t\t\t\tp_uniforms.setValue( _gl, 'center', object.center );\n\n\t\t\t}\n\n\t\t\t// common matrices\n\n\t\t\tp_uniforms.setValue( _gl, 'modelViewMatrix', object.modelViewMatrix );\n\t\t\tp_uniforms.setValue( _gl, 'normalMatrix', object.normalMatrix );\n\t\t\tp_uniforms.setValue( _gl, 'modelMatrix', object.matrixWorld );\n\n\t\t\t// UBOs\n\n\t\t\tif ( material.isShaderMaterial || material.isRawShaderMaterial ) {\n\n\t\t\t\tconst groups = material.uniformsGroups;\n\n\t\t\t\tfor ( let i = 0, l = groups.length; i < l; i ++ ) {\n\n\t\t\t\t\tif ( capabilities.isWebGL2 ) {\n\n\t\t\t\t\t\tconst group = groups[ i ];\n\n\t\t\t\t\t\tuniformsGroups.update( group, program );\n\t\t\t\t\t\tuniformsGroups.bind( group, program );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn program;\n\n\t\t}\n\n\t\t// If uniforms are marked as clean, they don't need to be loaded to the GPU.\n\n\t\tfunction markUniformsLightsNeedsUpdate( uniforms, value ) {\n\n\t\t\tuniforms.ambientLightColor.needsUpdate = value;\n\t\t\tuniforms.lightProbe.needsUpdate = value;\n\n\t\t\tuniforms.directionalLights.needsUpdate = value;\n\t\t\tuniforms.directionalLightShadows.needsUpdate = value;\n\t\t\tuniforms.pointLights.needsUpdate = value;\n\t\t\tuniforms.pointLightShadows.needsUpdate = value;\n\t\t\tuniforms.spotLights.needsUpdate = value;\n\t\t\tuniforms.spotLightShadows.needsUpdate = value;\n\t\t\tuniforms.rectAreaLights.needsUpdate = value;\n\t\t\tuniforms.hemisphereLights.needsUpdate = value;\n\n\t\t}\n\n\t\tfunction materialNeedsLights( material ) {\n\n\t\t\treturn material.isMeshLambertMaterial || material.isMeshToonMaterial || material.isMeshPhongMaterial ||\n\t\t\t\tmaterial.isMeshStandardMaterial || material.isShadowMaterial ||\n\t\t\t\t( material.isShaderMaterial && material.lights === true );\n\n\t\t}\n\n\t\tthis.getActiveCubeFace = function () {\n\n\t\t\treturn _currentActiveCubeFace;\n\n\t\t};\n\n\t\tthis.getActiveMipmapLevel = function () {\n\n\t\t\treturn _currentActiveMipmapLevel;\n\n\t\t};\n\n\t\tthis.getRenderTarget = function () {\n\n\t\t\treturn _currentRenderTarget;\n\n\t\t};\n\n\t\tthis.setRenderTargetTextures = function ( renderTarget, colorTexture, depthTexture ) {\n\n\t\t\tproperties.get( renderTarget.texture ).__webglTexture = colorTexture;\n\t\t\tproperties.get( renderTarget.depthTexture ).__webglTexture = depthTexture;\n\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\trenderTargetProperties.__hasExternalTextures = true;\n\n\t\t\tif ( renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\t\trenderTargetProperties.__autoAllocateDepthBuffer = depthTexture === undefined;\n\n\t\t\t\tif ( ! renderTargetProperties.__autoAllocateDepthBuffer ) {\n\n\t\t\t\t\t// The multisample_render_to_texture extension doesn't work properly if there\n\t\t\t\t\t// are midframe flushes and an external depth buffer. Disable use of the extension.\n\t\t\t\t\tif ( extensions.has( 'WEBGL_multisampled_render_to_texture' ) === true ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided' );\n\t\t\t\t\t\trenderTargetProperties.__useRenderToTexture = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.setRenderTargetFramebuffer = function ( renderTarget, defaultFramebuffer ) {\n\n\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\t\t\trenderTargetProperties.__webglFramebuffer = defaultFramebuffer;\n\t\t\trenderTargetProperties.__useDefaultFramebuffer = defaultFramebuffer === undefined;\n\n\t\t};\n\n\t\tthis.setRenderTarget = function ( renderTarget, activeCubeFace = 0, activeMipmapLevel = 0 ) {\n\n\t\t\t_currentRenderTarget = renderTarget;\n\t\t\t_currentActiveCubeFace = activeCubeFace;\n\t\t\t_currentActiveMipmapLevel = activeMipmapLevel;\n\n\t\t\tlet useDefaultFramebuffer = true;\n\t\t\tlet framebuffer = null;\n\t\t\tlet isCube = false;\n\t\t\tlet isRenderTarget3D = false;\n\n\t\t\tif ( renderTarget ) {\n\n\t\t\t\tconst renderTargetProperties = properties.get( renderTarget );\n\n\t\t\t\tif ( renderTargetProperties.__useDefaultFramebuffer !== undefined ) {\n\n\t\t\t\t\t// We need to make sure to rebind the framebuffer.\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, null );\n\t\t\t\t\tuseDefaultFramebuffer = false;\n\n\t\t\t\t} else if ( renderTargetProperties.__webglFramebuffer === undefined ) {\n\n\t\t\t\t\ttextures.setupRenderTarget( renderTarget );\n\n\t\t\t\t} else if ( renderTargetProperties.__hasExternalTextures ) {\n\n\t\t\t\t\t// Color and depth texture must be rebound in order for the swapchain to update.\n\t\t\t\t\ttextures.rebindTextures( renderTarget, properties.get( renderTarget.texture ).__webglTexture, properties.get( renderTarget.depthTexture ).__webglTexture );\n\n\t\t\t\t}\n\n\t\t\t\tconst texture = renderTarget.texture;\n\n\t\t\t\tif ( texture.isData3DTexture || texture.isDataArrayTexture || texture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tisRenderTarget3D = true;\n\n\t\t\t\t}\n\n\t\t\t\tconst __webglFramebuffer = properties.get( renderTarget ).__webglFramebuffer;\n\n\t\t\t\tif ( renderTarget.isWebGLCubeRenderTarget ) {\n\n\t\t\t\t\tif ( Array.isArray( __webglFramebuffer[ activeCubeFace ] ) ) {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeCubeFace ][ activeMipmapLevel ];\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeCubeFace ];\n\n\t\t\t\t\t}\n\n\t\t\t\t\tisCube = true;\n\n\t\t\t\t} else if ( ( capabilities.isWebGL2 && renderTarget.samples > 0 ) && textures.useMultisampledRTT( renderTarget ) === false ) {\n\n\t\t\t\t\tframebuffer = properties.get( renderTarget ).__webglMultisampledFramebuffer;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( Array.isArray( __webglFramebuffer ) ) {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer[ activeMipmapLevel ];\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tframebuffer = __webglFramebuffer;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t_currentViewport.copy( renderTarget.viewport );\n\t\t\t\t_currentScissor.copy( renderTarget.scissor );\n\t\t\t\t_currentScissorTest = renderTarget.scissorTest;\n\n\t\t\t} else {\n\n\t\t\t\t_currentViewport.copy( _viewport ).multiplyScalar( _pixelRatio ).floor();\n\t\t\t\t_currentScissor.copy( _scissor ).multiplyScalar( _pixelRatio ).floor();\n\t\t\t\t_currentScissorTest = _scissorTest;\n\n\t\t\t}\n\n\t\t\tconst framebufferBound = state.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\tif ( framebufferBound && capabilities.drawBuffers && useDefaultFramebuffer ) {\n\n\t\t\t\tstate.drawBuffers( renderTarget, framebuffer );\n\n\t\t\t}\n\n\t\t\tstate.viewport( _currentViewport );\n\t\t\tstate.scissor( _currentScissor );\n\t\t\tstate.setScissorTest( _currentScissorTest );\n\n\t\t\tif ( isCube ) {\n\n\t\t\t\tconst textureProperties = properties.get( renderTarget.texture );\n\t\t\t\t_gl.framebufferTexture2D( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + activeCubeFace, textureProperties.__webglTexture, activeMipmapLevel );\n\n\t\t\t} else if ( isRenderTarget3D ) {\n\n\t\t\t\tconst textureProperties = properties.get( renderTarget.texture );\n\t\t\t\tconst layer = activeCubeFace || 0;\n\t\t\t\t_gl.framebufferTextureLayer( _gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, textureProperties.__webglTexture, activeMipmapLevel || 0, layer );\n\n\t\t\t}\n\n\t\t\t_currentMaterialId = - 1; // reset current material to ensure correct uniform bindings\n\n\t\t};\n\n\t\tthis.readRenderTargetPixels = function ( renderTarget, x, y, width, height, buffer, activeCubeFaceIndex ) {\n\n\t\t\tif ( ! ( renderTarget && renderTarget.isWebGLRenderTarget ) ) {\n\n\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tlet framebuffer = properties.get( renderTarget ).__webglFramebuffer;\n\n\t\t\tif ( renderTarget.isWebGLCubeRenderTarget && activeCubeFaceIndex !== undefined ) {\n\n\t\t\t\tframebuffer = framebuffer[ activeCubeFaceIndex ];\n\n\t\t\t}\n\n\t\t\tif ( framebuffer ) {\n\n\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\t\ttry {\n\n\t\t\t\t\tconst texture = renderTarget.texture;\n\t\t\t\t\tconst textureFormat = texture.format;\n\t\t\t\t\tconst textureType = texture.type;\n\n\t\t\t\t\tif ( textureFormat !== RGBAFormat && utils.convert( textureFormat ) !== _gl.getParameter( _gl.IMPLEMENTATION_COLOR_READ_FORMAT ) ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.' );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst halfFloatSupportedByExt = ( textureType === HalfFloatType ) && ( extensions.has( 'EXT_color_buffer_half_float' ) || ( capabilities.isWebGL2 && extensions.has( 'EXT_color_buffer_float' ) ) );\n\n\t\t\t\t\tif ( textureType !== UnsignedByteType && utils.convert( textureType ) !== _gl.getParameter( _gl.IMPLEMENTATION_COLOR_READ_TYPE ) && // Edge and Chrome Mac < 52 (#9513)\n\t\t\t\t\t\t! ( textureType === FloatType && ( capabilities.isWebGL2 || extensions.has( 'OES_texture_float' ) || extensions.has( 'WEBGL_color_buffer_float' ) ) ) && // Chrome Mac >= 52 and Firefox\n\t\t\t\t\t\t! halfFloatSupportedByExt ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.' );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the following if statement ensures valid read requests (no out-of-bounds pixels, see #8604)\n\n\t\t\t\t\tif ( ( x >= 0 && x <= ( renderTarget.width - width ) ) && ( y >= 0 && y <= ( renderTarget.height - height ) ) ) {\n\n\t\t\t\t\t\t_gl.readPixels( x, y, width, height, utils.convert( textureFormat ), utils.convert( textureType ), buffer );\n\n\t\t\t\t\t}\n\n\t\t\t\t} finally {\n\n\t\t\t\t\t// restore framebuffer of current render target if necessary\n\n\t\t\t\t\tconst framebuffer = ( _currentRenderTarget !== null ) ? properties.get( _currentRenderTarget ).__webglFramebuffer : null;\n\t\t\t\t\tstate.bindFramebuffer( _gl.FRAMEBUFFER, framebuffer );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.copyFramebufferToTexture = function ( position, texture, level = 0 ) {\n\n\t\t\tconst levelScale = Math.pow( 2, - level );\n\t\t\tconst width = Math.floor( texture.image.width * levelScale );\n\t\t\tconst height = Math.floor( texture.image.height * levelScale );\n\n\t\t\ttextures.setTexture2D( texture, 0 );\n\n\t\t\t_gl.copyTexSubImage2D( _gl.TEXTURE_2D, level, 0, 0, position.x, position.y, width, height );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.copyTextureToTexture = function ( position, srcTexture, dstTexture, level = 0 ) {\n\n\t\t\tconst width = srcTexture.image.width;\n\t\t\tconst height = srcTexture.image.height;\n\t\t\tconst glFormat = utils.convert( dstTexture.format );\n\t\t\tconst glType = utils.convert( dstTexture.type );\n\n\t\t\ttextures.setTexture2D( dstTexture, 0 );\n\n\t\t\t// As another texture upload may have changed pixelStorei\n\t\t\t// parameters, make sure they are correct for the dstTexture\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment );\n\n\t\t\tif ( srcTexture.isDataTexture ) {\n\n\t\t\t\t_gl.texSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, width, height, glFormat, glType, srcTexture.image.data );\n\n\t\t\t} else {\n\n\t\t\t\tif ( srcTexture.isCompressedTexture ) {\n\n\t\t\t\t\t_gl.compressedTexSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, srcTexture.mipmaps[ 0 ].width, srcTexture.mipmaps[ 0 ].height, glFormat, srcTexture.mipmaps[ 0 ].data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.texSubImage2D( _gl.TEXTURE_2D, level, position.x, position.y, glFormat, glType, srcTexture.image );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Generate mipmaps only when copying level 0\n\t\t\tif ( level === 0 && dstTexture.generateMipmaps ) _gl.generateMipmap( _gl.TEXTURE_2D );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.copyTextureToTexture3D = function ( sourceBox, position, srcTexture, dstTexture, level = 0 ) {\n\n\t\t\tif ( _this.isWebGL1Renderer ) {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst width = sourceBox.max.x - sourceBox.min.x + 1;\n\t\t\tconst height = sourceBox.max.y - sourceBox.min.y + 1;\n\t\t\tconst depth = sourceBox.max.z - sourceBox.min.z + 1;\n\t\t\tconst glFormat = utils.convert( dstTexture.format );\n\t\t\tconst glType = utils.convert( dstTexture.type );\n\t\t\tlet glTarget;\n\n\t\t\tif ( dstTexture.isData3DTexture ) {\n\n\t\t\t\ttextures.setTexture3D( dstTexture, 0 );\n\t\t\t\tglTarget = _gl.TEXTURE_3D;\n\n\t\t\t} else if ( dstTexture.isDataArrayTexture || dstTexture.isCompressedArrayTexture ) {\n\n\t\t\t\ttextures.setTexture2DArray( dstTexture, 0 );\n\t\t\t\tglTarget = _gl.TEXTURE_2D_ARRAY;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.' );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment );\n\n\t\t\tconst unpackRowLen = _gl.getParameter( _gl.UNPACK_ROW_LENGTH );\n\t\t\tconst unpackImageHeight = _gl.getParameter( _gl.UNPACK_IMAGE_HEIGHT );\n\t\t\tconst unpackSkipPixels = _gl.getParameter( _gl.UNPACK_SKIP_PIXELS );\n\t\t\tconst unpackSkipRows = _gl.getParameter( _gl.UNPACK_SKIP_ROWS );\n\t\t\tconst unpackSkipImages = _gl.getParameter( _gl.UNPACK_SKIP_IMAGES );\n\n\t\t\tconst image = srcTexture.isCompressedTexture ? srcTexture.mipmaps[ level ] : srcTexture.image;\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ROW_LENGTH, image.width );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_IMAGE_HEIGHT, image.height );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_PIXELS, sourceBox.min.x );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_ROWS, sourceBox.min.y );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_IMAGES, sourceBox.min.z );\n\n\t\t\tif ( srcTexture.isDataTexture || srcTexture.isData3DTexture ) {\n\n\t\t\t\t_gl.texSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, glType, image.data );\n\n\t\t\t} else {\n\n\t\t\t\tif ( srcTexture.isCompressedArrayTexture ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture.' );\n\t\t\t\t\t_gl.compressedTexSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, image.data );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t_gl.texSubImage3D( glTarget, level, position.x, position.y, position.z, width, height, depth, glFormat, glType, image );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t_gl.pixelStorei( _gl.UNPACK_ROW_LENGTH, unpackRowLen );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_IMAGE_HEIGHT, unpackImageHeight );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_PIXELS, unpackSkipPixels );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_ROWS, unpackSkipRows );\n\t\t\t_gl.pixelStorei( _gl.UNPACK_SKIP_IMAGES, unpackSkipImages );\n\n\t\t\t// Generate mipmaps only when copying level 0\n\t\t\tif ( level === 0 && dstTexture.generateMipmaps ) _gl.generateMipmap( glTarget );\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.initTexture = function ( texture ) {\n\n\t\t\tif ( texture.isCubeTexture ) {\n\n\t\t\t\ttextures.setTextureCube( texture, 0 );\n\n\t\t\t} else if ( texture.isData3DTexture ) {\n\n\t\t\t\ttextures.setTexture3D( texture, 0 );\n\n\t\t\t} else if ( texture.isDataArrayTexture || texture.isCompressedArrayTexture ) {\n\n\t\t\t\ttextures.setTexture2DArray( texture, 0 );\n\n\t\t\t} else {\n\n\t\t\t\ttextures.setTexture2D( texture, 0 );\n\n\t\t\t}\n\n\t\t\tstate.unbindTexture();\n\n\t\t};\n\n\t\tthis.resetState = function () {\n\n\t\t\t_currentActiveCubeFace = 0;\n\t\t\t_currentActiveMipmapLevel = 0;\n\t\t\t_currentRenderTarget = null;\n\n\t\t\tstate.reset();\n\t\t\tbindingStates.reset();\n\n\t\t};\n\n\t\tif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t\t\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'observe', { detail: this } ) );\n\n\t\t}\n\n\t}\n\n\tget coordinateSystem() {\n\n\t\treturn WebGLCoordinateSystem;\n\n\t}\n\n\tget outputColorSpace() {\n\n\t\treturn this._outputColorSpace;\n\n\t}\n\n\tset outputColorSpace( colorSpace ) {\n\n\t\tthis._outputColorSpace = colorSpace;\n\n\t\tconst gl = this.getContext();\n\t\tgl.drawingBufferColorSpace = colorSpace === DisplayP3ColorSpace ? 'display-p3' : 'srgb';\n\t\tgl.unpackColorSpace = ColorManagement.workingColorSpace === LinearDisplayP3ColorSpace ? 'display-p3' : 'srgb';\n\n\t}\n\n\tget outputEncoding() { // @deprecated, r152\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead.' );\n\t\treturn this.outputColorSpace === SRGBColorSpace ? sRGBEncoding : LinearEncoding;\n\n\t}\n\n\tset outputEncoding( encoding ) { // @deprecated, r152\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead.' );\n\t\tthis.outputColorSpace = encoding === sRGBEncoding ? SRGBColorSpace : LinearSRGBColorSpace;\n\n\t}\n\n\tget useLegacyLights() { // @deprecated, r155\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733.' );\n\t\treturn this._useLegacyLights;\n\n\t}\n\n\tset useLegacyLights( value ) { // @deprecated, r155\n\n\t\tconsole.warn( 'THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733.' );\n\t\tthis._useLegacyLights = value;\n\n\t}\n\n}\n\nclass WebGL1Renderer extends WebGLRenderer {}\n\nWebGL1Renderer.prototype.isWebGL1Renderer = true;\n\nclass FogExp2 {\n\n\tconstructor( color, density = 0.00025 ) {\n\n\t\tthis.isFogExp2 = true;\n\n\t\tthis.name = '';\n\n\t\tthis.color = new Color( color );\n\t\tthis.density = density;\n\n\t}\n\n\tclone() {\n\n\t\treturn new FogExp2( this.color, this.density );\n\n\t}\n\n\ttoJSON( /* meta */ ) {\n\n\t\treturn {\n\t\t\ttype: 'FogExp2',\n\t\t\tname: this.name,\n\t\t\tcolor: this.color.getHex(),\n\t\t\tdensity: this.density\n\t\t};\n\n\t}\n\n}\n\nclass Fog {\n\n\tconstructor( color, near = 1, far = 1000 ) {\n\n\t\tthis.isFog = true;\n\n\t\tthis.name = '';\n\n\t\tthis.color = new Color( color );\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Fog( this.color, this.near, this.far );\n\n\t}\n\n\ttoJSON( /* meta */ ) {\n\n\t\treturn {\n\t\t\ttype: 'Fog',\n\t\t\tname: this.name,\n\t\t\tcolor: this.color.getHex(),\n\t\t\tnear: this.near,\n\t\t\tfar: this.far\n\t\t};\n\n\t}\n\n}\n\nclass Scene extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isScene = true;\n\n\t\tthis.type = 'Scene';\n\n\t\tthis.background = null;\n\t\tthis.environment = null;\n\t\tthis.fog = null;\n\n\t\tthis.backgroundBlurriness = 0;\n\t\tthis.backgroundIntensity = 1;\n\n\t\tthis.overrideMaterial = null;\n\n\t\tif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t\t\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'observe', { detail: this } ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.background !== null ) this.background = source.background.clone();\n\t\tif ( source.environment !== null ) this.environment = source.environment.clone();\n\t\tif ( source.fog !== null ) this.fog = source.fog.clone();\n\n\t\tthis.backgroundBlurriness = source.backgroundBlurriness;\n\t\tthis.backgroundIntensity = source.backgroundIntensity;\n\n\t\tif ( source.overrideMaterial !== null ) this.overrideMaterial = source.overrideMaterial.clone();\n\n\t\tthis.matrixAutoUpdate = source.matrixAutoUpdate;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.fog !== null ) data.object.fog = this.fog.toJSON();\n\t\tif ( this.backgroundBlurriness > 0 ) data.object.backgroundBlurriness = this.backgroundBlurriness;\n\t\tif ( this.backgroundIntensity !== 1 ) data.object.backgroundIntensity = this.backgroundIntensity;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass InterleavedBuffer {\n\n\tconstructor( array, stride ) {\n\n\t\tthis.isInterleavedBuffer = true;\n\n\t\tthis.array = array;\n\t\tthis.stride = stride;\n\t\tthis.count = array !== undefined ? array.length / stride : 0;\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis._updateRange = { offset: 0, count: - 1 };\n\t\tthis.updateRanges = [];\n\n\t\tthis.version = 0;\n\n\t\tthis.uuid = generateUUID();\n\n\t}\n\n\tonUploadCallback() {}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tget updateRange() {\n\n\t\tconsole.warn( 'THREE.InterleavedBuffer: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead.' ); // @deprecated, r159\n\t\treturn this._updateRange;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\taddUpdateRange( start, count ) {\n\n\t\tthis.updateRanges.push( { start, count } );\n\n\t}\n\n\tclearUpdateRanges() {\n\n\t\tthis.updateRanges.length = 0;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.array = new source.array.constructor( source.array );\n\t\tthis.count = source.count;\n\t\tthis.stride = source.stride;\n\t\tthis.usage = source.usage;\n\n\t\treturn this;\n\n\t}\n\n\tcopyAt( index1, attribute, index2 ) {\n\n\t\tindex1 *= this.stride;\n\t\tindex2 *= attribute.stride;\n\n\t\tfor ( let i = 0, l = this.stride; i < l; i ++ ) {\n\n\t\t\tthis.array[ index1 + i ] = attribute.array[ index2 + i ];\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tset( value, offset = 0 ) {\n\n\t\tthis.array.set( value, offset );\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tif ( data.arrayBuffers === undefined ) {\n\n\t\t\tdata.arrayBuffers = {};\n\n\t\t}\n\n\t\tif ( this.array.buffer._uuid === undefined ) {\n\n\t\t\tthis.array.buffer._uuid = generateUUID();\n\n\t\t}\n\n\t\tif ( data.arrayBuffers[ this.array.buffer._uuid ] === undefined ) {\n\n\t\t\tdata.arrayBuffers[ this.array.buffer._uuid ] = this.array.slice( 0 ).buffer;\n\n\t\t}\n\n\t\tconst array = new this.array.constructor( data.arrayBuffers[ this.array.buffer._uuid ] );\n\n\t\tconst ib = new this.constructor( array, this.stride );\n\t\tib.setUsage( this.usage );\n\n\t\treturn ib;\n\n\t}\n\n\tonUpload( callback ) {\n\n\t\tthis.onUploadCallback = callback;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tif ( data.arrayBuffers === undefined ) {\n\n\t\t\tdata.arrayBuffers = {};\n\n\t\t}\n\n\t\t// generate UUID for array buffer if necessary\n\n\t\tif ( this.array.buffer._uuid === undefined ) {\n\n\t\t\tthis.array.buffer._uuid = generateUUID();\n\n\t\t}\n\n\t\tif ( data.arrayBuffers[ this.array.buffer._uuid ] === undefined ) {\n\n\t\t\tdata.arrayBuffers[ this.array.buffer._uuid ] = Array.from( new Uint32Array( this.array.buffer ) );\n\n\t\t}\n\n\t\t//\n\n\t\treturn {\n\t\t\tuuid: this.uuid,\n\t\t\tbuffer: this.array.buffer._uuid,\n\t\t\ttype: this.array.constructor.name,\n\t\t\tstride: this.stride\n\t\t};\n\n\t}\n\n}\n\nconst _vector$6 = /*@__PURE__*/ new Vector3();\n\nclass InterleavedBufferAttribute {\n\n\tconstructor( interleavedBuffer, itemSize, offset, normalized = false ) {\n\n\t\tthis.isInterleavedBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.data = interleavedBuffer;\n\t\tthis.itemSize = itemSize;\n\t\tthis.offset = offset;\n\n\t\tthis.normalized = normalized;\n\n\t}\n\n\tget count() {\n\n\t\treturn this.data.count;\n\n\t}\n\n\tget array() {\n\n\t\treturn this.data.array;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tthis.data.needsUpdate = value;\n\n\t}\n\n\tapplyMatrix4( m ) {\n\n\t\tfor ( let i = 0, l = this.data.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.applyMatrix4( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tapplyNormalMatrix( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.applyNormalMatrix( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttransformDirection( m ) {\n\n\t\tfor ( let i = 0, l = this.count; i < l; i ++ ) {\n\n\t\t\t_vector$6.fromBufferAttribute( this, i );\n\n\t\t\t_vector$6.transformDirection( m );\n\n\t\t\tthis.setXYZ( i, _vector$6.x, _vector$6.y, _vector$6.z );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetX( index, x ) {\n\n\t\tif ( this.normalized ) x = normalize( x, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset ] = x;\n\n\t\treturn this;\n\n\t}\n\n\tsetY( index, y ) {\n\n\t\tif ( this.normalized ) y = normalize( y, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetZ( index, z ) {\n\n\t\tif ( this.normalized ) z = normalize( z, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetW( index, w ) {\n\n\t\tif ( this.normalized ) w = normalize( w, this.array );\n\n\t\tthis.data.array[ index * this.data.stride + this.offset + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tgetX( index ) {\n\n\t\tlet x = this.data.array[ index * this.data.stride + this.offset ];\n\n\t\tif ( this.normalized ) x = denormalize( x, this.array );\n\n\t\treturn x;\n\n\t}\n\n\tgetY( index ) {\n\n\t\tlet y = this.data.array[ index * this.data.stride + this.offset + 1 ];\n\n\t\tif ( this.normalized ) y = denormalize( y, this.array );\n\n\t\treturn y;\n\n\t}\n\n\tgetZ( index ) {\n\n\t\tlet z = this.data.array[ index * this.data.stride + this.offset + 2 ];\n\n\t\tif ( this.normalized ) z = denormalize( z, this.array );\n\n\t\treturn z;\n\n\t}\n\n\tgetW( index ) {\n\n\t\tlet w = this.data.array[ index * this.data.stride + this.offset + 3 ];\n\n\t\tif ( this.normalized ) w = denormalize( w, this.array );\n\n\t\treturn w;\n\n\t}\n\n\tsetXY( index, x, y ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZ( index, x, y, z ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\t\tthis.data.array[ index + 2 ] = z;\n\n\t\treturn this;\n\n\t}\n\n\tsetXYZW( index, x, y, z, w ) {\n\n\t\tindex = index * this.data.stride + this.offset;\n\n\t\tif ( this.normalized ) {\n\n\t\t\tx = normalize( x, this.array );\n\t\t\ty = normalize( y, this.array );\n\t\t\tz = normalize( z, this.array );\n\t\t\tw = normalize( w, this.array );\n\n\t\t}\n\n\t\tthis.data.array[ index + 0 ] = x;\n\t\tthis.data.array[ index + 1 ] = y;\n\t\tthis.data.array[ index + 2 ] = z;\n\t\tthis.data.array[ index + 3 ] = w;\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tif ( data === undefined ) {\n\n\t\t\tconsole.log( 'THREE.InterleavedBufferAttribute.clone(): Cloning an interleaved buffer attribute will de-interleave buffer data.' );\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0; i < this.count; i ++ ) {\n\n\t\t\t\tconst index = i * this.data.stride + this.offset;\n\n\t\t\t\tfor ( let j = 0; j < this.itemSize; j ++ ) {\n\n\t\t\t\t\tarray.push( this.data.array[ index + j ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn new BufferAttribute( new this.array.constructor( array ), this.itemSize, this.normalized );\n\n\t\t} else {\n\n\t\t\tif ( data.interleavedBuffers === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers = {};\n\n\t\t\t}\n\n\t\t\tif ( data.interleavedBuffers[ this.data.uuid ] === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers[ this.data.uuid ] = this.data.clone( data );\n\n\t\t\t}\n\n\t\t\treturn new InterleavedBufferAttribute( data.interleavedBuffers[ this.data.uuid ], this.itemSize, this.offset, this.normalized );\n\n\t\t}\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tif ( data === undefined ) {\n\n\t\t\tconsole.log( 'THREE.InterleavedBufferAttribute.toJSON(): Serializing an interleaved buffer attribute will de-interleave buffer data.' );\n\n\t\t\tconst array = [];\n\n\t\t\tfor ( let i = 0; i < this.count; i ++ ) {\n\n\t\t\t\tconst index = i * this.data.stride + this.offset;\n\n\t\t\t\tfor ( let j = 0; j < this.itemSize; j ++ ) {\n\n\t\t\t\t\tarray.push( this.data.array[ index + j ] );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// de-interleave data and save it as an ordinary buffer attribute for now\n\n\t\t\treturn {\n\t\t\t\titemSize: this.itemSize,\n\t\t\t\ttype: this.array.constructor.name,\n\t\t\t\tarray: array,\n\t\t\t\tnormalized: this.normalized\n\t\t\t};\n\n\t\t} else {\n\n\t\t\t// save as true interleaved attribute\n\n\t\t\tif ( data.interleavedBuffers === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers = {};\n\n\t\t\t}\n\n\t\t\tif ( data.interleavedBuffers[ this.data.uuid ] === undefined ) {\n\n\t\t\t\tdata.interleavedBuffers[ this.data.uuid ] = this.data.toJSON( data );\n\n\t\t\t}\n\n\t\t\treturn {\n\t\t\t\tisInterleavedBufferAttribute: true,\n\t\t\t\titemSize: this.itemSize,\n\t\t\t\tdata: this.data.uuid,\n\t\t\t\toffset: this.offset,\n\t\t\t\tnormalized: this.normalized\n\t\t\t};\n\n\t\t}\n\n\t}\n\n}\n\nclass SpriteMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isSpriteMaterial = true;\n\n\t\tthis.type = 'SpriteMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.rotation = 0;\n\n\t\tthis.sizeAttenuation = true;\n\n\t\tthis.transparent = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.rotation = source.rotation;\n\n\t\tthis.sizeAttenuation = source.sizeAttenuation;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nlet _geometry;\n\nconst _intersectPoint = /*@__PURE__*/ new Vector3();\nconst _worldScale = /*@__PURE__*/ new Vector3();\nconst _mvPosition = /*@__PURE__*/ new Vector3();\n\nconst _alignedPosition = /*@__PURE__*/ new Vector2();\nconst _rotatedPosition = /*@__PURE__*/ new Vector2();\nconst _viewWorldMatrix = /*@__PURE__*/ new Matrix4();\n\nconst _vA = /*@__PURE__*/ new Vector3();\nconst _vB = /*@__PURE__*/ new Vector3();\nconst _vC = /*@__PURE__*/ new Vector3();\n\nconst _uvA = /*@__PURE__*/ new Vector2();\nconst _uvB = /*@__PURE__*/ new Vector2();\nconst _uvC = /*@__PURE__*/ new Vector2();\n\nclass Sprite extends Object3D {\n\n\tconstructor( material = new SpriteMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isSprite = true;\n\n\t\tthis.type = 'Sprite';\n\n\t\tif ( _geometry === undefined ) {\n\n\t\t\t_geometry = new BufferGeometry();\n\n\t\t\tconst float32Array = new Float32Array( [\n\t\t\t\t- 0.5, - 0.5, 0, 0, 0,\n\t\t\t\t0.5, - 0.5, 0, 1, 0,\n\t\t\t\t0.5, 0.5, 0, 1, 1,\n\t\t\t\t- 0.5, 0.5, 0, 0, 1\n\t\t\t] );\n\n\t\t\tconst interleavedBuffer = new InterleavedBuffer( float32Array, 5 );\n\n\t\t\t_geometry.setIndex( [ 0, 1, 2,\t0, 2, 3 ] );\n\t\t\t_geometry.setAttribute( 'position', new InterleavedBufferAttribute( interleavedBuffer, 3, 0, false ) );\n\t\t\t_geometry.setAttribute( 'uv', new InterleavedBufferAttribute( interleavedBuffer, 2, 3, false ) );\n\n\t\t}\n\n\t\tthis.geometry = _geometry;\n\t\tthis.material = material;\n\n\t\tthis.center = new Vector2( 0.5, 0.5 );\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tif ( raycaster.camera === null ) {\n\n\t\t\tconsole.error( 'THREE.Sprite: \"Raycaster.camera\" needs to be set in order to raycast against sprites.' );\n\n\t\t}\n\n\t\t_worldScale.setFromMatrixScale( this.matrixWorld );\n\n\t\t_viewWorldMatrix.copy( raycaster.camera.matrixWorld );\n\t\tthis.modelViewMatrix.multiplyMatrices( raycaster.camera.matrixWorldInverse, this.matrixWorld );\n\n\t\t_mvPosition.setFromMatrixPosition( this.modelViewMatrix );\n\n\t\tif ( raycaster.camera.isPerspectiveCamera && this.material.sizeAttenuation === false ) {\n\n\t\t\t_worldScale.multiplyScalar( - _mvPosition.z );\n\n\t\t}\n\n\t\tconst rotation = this.material.rotation;\n\t\tlet sin, cos;\n\n\t\tif ( rotation !== 0 ) {\n\n\t\t\tcos = Math.cos( rotation );\n\t\t\tsin = Math.sin( rotation );\n\n\t\t}\n\n\t\tconst center = this.center;\n\n\t\ttransformVertex( _vA.set( - 0.5, - 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\ttransformVertex( _vB.set( 0.5, - 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\ttransformVertex( _vC.set( 0.5, 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\n\t\t_uvA.set( 0, 0 );\n\t\t_uvB.set( 1, 0 );\n\t\t_uvC.set( 1, 1 );\n\n\t\t// check first triangle\n\t\tlet intersect = raycaster.ray.intersectTriangle( _vA, _vB, _vC, false, _intersectPoint );\n\n\t\tif ( intersect === null ) {\n\n\t\t\t// check second triangle\n\t\t\ttransformVertex( _vB.set( - 0.5, 0.5, 0 ), _mvPosition, center, _worldScale, sin, cos );\n\t\t\t_uvB.set( 0, 1 );\n\n\t\t\tintersect = raycaster.ray.intersectTriangle( _vA, _vC, _vB, false, _intersectPoint );\n\t\t\tif ( intersect === null ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst distance = raycaster.ray.origin.distanceTo( _intersectPoint );\n\n\t\tif ( distance < raycaster.near || distance > raycaster.far ) return;\n\n\t\tintersects.push( {\n\n\t\t\tdistance: distance,\n\t\t\tpoint: _intersectPoint.clone(),\n\t\t\tuv: Triangle.getInterpolation( _intersectPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2() ),\n\t\t\tface: null,\n\t\t\tobject: this\n\n\t\t} );\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tif ( source.center !== undefined ) this.center.copy( source.center );\n\n\t\tthis.material = source.material;\n\n\t\treturn this;\n\n\t}\n\n}\n\nfunction transformVertex( vertexPosition, mvPosition, center, scale, sin, cos ) {\n\n\t// compute position in camera space\n\t_alignedPosition.subVectors( vertexPosition, center ).addScalar( 0.5 ).multiply( scale );\n\n\t// to check if rotation is not zero\n\tif ( sin !== undefined ) {\n\n\t\t_rotatedPosition.x = ( cos * _alignedPosition.x ) - ( sin * _alignedPosition.y );\n\t\t_rotatedPosition.y = ( sin * _alignedPosition.x ) + ( cos * _alignedPosition.y );\n\n\t} else {\n\n\t\t_rotatedPosition.copy( _alignedPosition );\n\n\t}\n\n\n\tvertexPosition.copy( mvPosition );\n\tvertexPosition.x += _rotatedPosition.x;\n\tvertexPosition.y += _rotatedPosition.y;\n\n\t// transform to world space\n\tvertexPosition.applyMatrix4( _viewWorldMatrix );\n\n}\n\nconst _v1$2 = /*@__PURE__*/ new Vector3();\nconst _v2$1 = /*@__PURE__*/ new Vector3();\n\nclass LOD extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis._currentLevel = 0;\n\n\t\tthis.type = 'LOD';\n\n\t\tObject.defineProperties( this, {\n\t\t\tlevels: {\n\t\t\t\tenumerable: true,\n\t\t\t\tvalue: []\n\t\t\t},\n\t\t\tisLOD: {\n\t\t\t\tvalue: true,\n\t\t\t}\n\t\t} );\n\n\t\tthis.autoUpdate = true;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source, false );\n\n\t\tconst levels = source.levels;\n\n\t\tfor ( let i = 0, l = levels.length; i < l; i ++ ) {\n\n\t\t\tconst level = levels[ i ];\n\n\t\t\tthis.addLevel( level.object.clone(), level.distance, level.hysteresis );\n\n\t\t}\n\n\t\tthis.autoUpdate = source.autoUpdate;\n\n\t\treturn this;\n\n\t}\n\n\taddLevel( object, distance = 0, hysteresis = 0 ) {\n\n\t\tdistance = Math.abs( distance );\n\n\t\tconst levels = this.levels;\n\n\t\tlet l;\n\n\t\tfor ( l = 0; l < levels.length; l ++ ) {\n\n\t\t\tif ( distance < levels[ l ].distance ) {\n\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlevels.splice( l, 0, { distance: distance, hysteresis: hysteresis, object: object } );\n\n\t\tthis.add( object );\n\n\t\treturn this;\n\n\t}\n\n\tgetCurrentLevel() {\n\n\t\treturn this._currentLevel;\n\n\t}\n\n\n\n\tgetObjectForDistance( distance ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 0 ) {\n\n\t\t\tlet i, l;\n\n\t\t\tfor ( i = 1, l = levels.length; i < l; i ++ ) {\n\n\t\t\t\tlet levelDistance = levels[ i ].distance;\n\n\t\t\t\tif ( levels[ i ].object.visible ) {\n\n\t\t\t\t\tlevelDistance -= levelDistance * levels[ i ].hysteresis;\n\n\t\t\t\t}\n\n\t\t\t\tif ( distance < levelDistance ) {\n\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn levels[ i - 1 ].object;\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 0 ) {\n\n\t\t\t_v1$2.setFromMatrixPosition( this.matrixWorld );\n\n\t\t\tconst distance = raycaster.ray.origin.distanceTo( _v1$2 );\n\n\t\t\tthis.getObjectForDistance( distance ).raycast( raycaster, intersects );\n\n\t\t}\n\n\t}\n\n\tupdate( camera ) {\n\n\t\tconst levels = this.levels;\n\n\t\tif ( levels.length > 1 ) {\n\n\t\t\t_v1$2.setFromMatrixPosition( camera.matrixWorld );\n\t\t\t_v2$1.setFromMatrixPosition( this.matrixWorld );\n\n\t\t\tconst distance = _v1$2.distanceTo( _v2$1 ) / camera.zoom;\n\n\t\t\tlevels[ 0 ].object.visible = true;\n\n\t\t\tlet i, l;\n\n\t\t\tfor ( i = 1, l = levels.length; i < l; i ++ ) {\n\n\t\t\t\tlet levelDistance = levels[ i ].distance;\n\n\t\t\t\tif ( levels[ i ].object.visible ) {\n\n\t\t\t\t\tlevelDistance -= levelDistance * levels[ i ].hysteresis;\n\n\t\t\t\t}\n\n\t\t\t\tif ( distance >= levelDistance ) {\n\n\t\t\t\t\tlevels[ i - 1 ].object.visible = false;\n\t\t\t\t\tlevels[ i ].object.visible = true;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._currentLevel = i - 1;\n\n\t\t\tfor ( ; i < l; i ++ ) {\n\n\t\t\t\tlevels[ i ].object.visible = false;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tif ( this.autoUpdate === false ) data.object.autoUpdate = false;\n\n\t\tdata.object.levels = [];\n\n\t\tconst levels = this.levels;\n\n\t\tfor ( let i = 0, l = levels.length; i < l; i ++ ) {\n\n\t\t\tconst level = levels[ i ];\n\n\t\t\tdata.object.levels.push( {\n\t\t\t\tobject: level.object.uuid,\n\t\t\t\tdistance: level.distance,\n\t\t\t\thysteresis: level.hysteresis\n\t\t\t} );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst _basePosition = /*@__PURE__*/ new Vector3();\n\nconst _skinIndex = /*@__PURE__*/ new Vector4();\nconst _skinWeight = /*@__PURE__*/ new Vector4();\n\nconst _vector3 = /*@__PURE__*/ new Vector3();\nconst _matrix4 = /*@__PURE__*/ new Matrix4();\nconst _vertex = /*@__PURE__*/ new Vector3();\n\nconst _sphere$4 = /*@__PURE__*/ new Sphere();\nconst _inverseMatrix$2 = /*@__PURE__*/ new Matrix4();\nconst _ray$2 = /*@__PURE__*/ new Ray();\n\nclass SkinnedMesh extends Mesh {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isSkinnedMesh = true;\n\n\t\tthis.type = 'SkinnedMesh';\n\n\t\tthis.bindMode = AttachedBindMode;\n\t\tthis.bindMatrix = new Matrix4();\n\t\tthis.bindMatrixInverse = new Matrix4();\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tthis.boundingBox.makeEmpty();\n\n\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0; i < positionAttribute.count; i ++ ) {\n\n\t\t\tthis.getVertexPosition( i, _vertex );\n\t\t\tthis.boundingBox.expandByPoint( _vertex );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tthis.boundingSphere.makeEmpty();\n\n\t\tconst positionAttribute = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0; i < positionAttribute.count; i ++ ) {\n\n\t\t\tthis.getVertexPosition( i, _vertex );\n\t\t\tthis.boundingSphere.expandByPoint( _vertex );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.bindMode = source.bindMode;\n\t\tthis.bindMatrix.copy( source.bindMatrix );\n\t\tthis.bindMatrixInverse.copy( source.bindMatrixInverse );\n\n\t\tthis.skeleton = source.skeleton;\n\n\t\tif ( source.boundingBox !== null ) this.boundingBox = source.boundingBox.clone();\n\t\tif ( source.boundingSphere !== null ) this.boundingSphere = source.boundingSphere.clone();\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst material = this.material;\n\t\tconst matrixWorld = this.matrixWorld;\n\n\t\tif ( material === undefined ) return;\n\n\t\t// test with bounding sphere in world space\n\n\t\tif ( this.boundingSphere === null ) this.computeBoundingSphere();\n\n\t\t_sphere$4.copy( this.boundingSphere );\n\t\t_sphere$4.applyMatrix4( matrixWorld );\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$4 ) === false ) return;\n\n\t\t// convert ray to local space of skinned mesh\n\n\t\t_inverseMatrix$2.copy( matrixWorld ).invert();\n\t\t_ray$2.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$2 );\n\n\t\t// test with bounding box in local space\n\n\t\tif ( this.boundingBox !== null ) {\n\n\t\t\tif ( _ray$2.intersectsBox( this.boundingBox ) === false ) return;\n\n\t\t}\n\n\t\t// test for intersections with geometry\n\n\t\tthis._computeIntersections( raycaster, intersects, _ray$2 );\n\n\t}\n\n\tgetVertexPosition( index, target ) {\n\n\t\tsuper.getVertexPosition( index, target );\n\n\t\tthis.applyBoneTransform( index, target );\n\n\t\treturn target;\n\n\t}\n\n\tbind( skeleton, bindMatrix ) {\n\n\t\tthis.skeleton = skeleton;\n\n\t\tif ( bindMatrix === undefined ) {\n\n\t\t\tthis.updateMatrixWorld( true );\n\n\t\t\tthis.skeleton.calculateInverses();\n\n\t\t\tbindMatrix = this.matrixWorld;\n\n\t\t}\n\n\t\tthis.bindMatrix.copy( bindMatrix );\n\t\tthis.bindMatrixInverse.copy( bindMatrix ).invert();\n\n\t}\n\n\tpose() {\n\n\t\tthis.skeleton.pose();\n\n\t}\n\n\tnormalizeSkinWeights() {\n\n\t\tconst vector = new Vector4();\n\n\t\tconst skinWeight = this.geometry.attributes.skinWeight;\n\n\t\tfor ( let i = 0, l = skinWeight.count; i < l; i ++ ) {\n\n\t\t\tvector.fromBufferAttribute( skinWeight, i );\n\n\t\t\tconst scale = 1.0 / vector.manhattanLength();\n\n\t\t\tif ( scale !== Infinity ) {\n\n\t\t\t\tvector.multiplyScalar( scale );\n\n\t\t\t} else {\n\n\t\t\t\tvector.set( 1, 0, 0, 0 ); // do something reasonable\n\n\t\t\t}\n\n\t\t\tskinWeight.setXYZW( i, vector.x, vector.y, vector.z, vector.w );\n\n\t\t}\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tif ( this.bindMode === AttachedBindMode ) {\n\n\t\t\tthis.bindMatrixInverse.copy( this.matrixWorld ).invert();\n\n\t\t} else if ( this.bindMode === DetachedBindMode ) {\n\n\t\t\tthis.bindMatrixInverse.copy( this.bindMatrix ).invert();\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.SkinnedMesh: Unrecognized bindMode: ' + this.bindMode );\n\n\t\t}\n\n\t}\n\n\tapplyBoneTransform( index, vector ) {\n\n\t\tconst skeleton = this.skeleton;\n\t\tconst geometry = this.geometry;\n\n\t\t_skinIndex.fromBufferAttribute( geometry.attributes.skinIndex, index );\n\t\t_skinWeight.fromBufferAttribute( geometry.attributes.skinWeight, index );\n\n\t\t_basePosition.copy( vector ).applyMatrix4( this.bindMatrix );\n\n\t\tvector.set( 0, 0, 0 );\n\n\t\tfor ( let i = 0; i < 4; i ++ ) {\n\n\t\t\tconst weight = _skinWeight.getComponent( i );\n\n\t\t\tif ( weight !== 0 ) {\n\n\t\t\t\tconst boneIndex = _skinIndex.getComponent( i );\n\n\t\t\t\t_matrix4.multiplyMatrices( skeleton.bones[ boneIndex ].matrixWorld, skeleton.boneInverses[ boneIndex ] );\n\n\t\t\t\tvector.addScaledVector( _vector3.copy( _basePosition ).applyMatrix4( _matrix4 ), weight );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn vector.applyMatrix4( this.bindMatrixInverse );\n\n\t}\n\n\tboneTransform( index, vector ) { // @deprecated, r151\n\n\t\tconsole.warn( 'THREE.SkinnedMesh: .boneTransform() was renamed to .applyBoneTransform() in r151.' );\n\t\treturn this.applyBoneTransform( index, vector );\n\n\t}\n\n\n}\n\nclass Bone extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isBone = true;\n\n\t\tthis.type = 'Bone';\n\n\t}\n\n}\n\nclass DataTexture extends Texture {\n\n\tconstructor( data = null, width = 1, height = 1, format, type, mapping, wrapS, wrapT, magFilter = NearestFilter, minFilter = NearestFilter, anisotropy, colorSpace ) {\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isDataTexture = true;\n\n\t\tthis.image = { data: data, width: width, height: height };\n\n\t\tthis.generateMipmaps = false;\n\t\tthis.flipY = false;\n\t\tthis.unpackAlignment = 1;\n\n\t}\n\n}\n\nconst _offsetMatrix = /*@__PURE__*/ new Matrix4();\nconst _identityMatrix$1 = /*@__PURE__*/ new Matrix4();\n\nclass Skeleton {\n\n\tconstructor( bones = [], boneInverses = [] ) {\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.bones = bones.slice( 0 );\n\t\tthis.boneInverses = boneInverses;\n\t\tthis.boneMatrices = null;\n\n\t\tthis.boneTexture = null;\n\n\t\tthis.init();\n\n\t}\n\n\tinit() {\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\n\t\tthis.boneMatrices = new Float32Array( bones.length * 16 );\n\n\t\t// calculate inverse bone matrices if necessary\n\n\t\tif ( boneInverses.length === 0 ) {\n\n\t\t\tthis.calculateInverses();\n\n\t\t} else {\n\n\t\t\t// handle special case\n\n\t\t\tif ( bones.length !== boneInverses.length ) {\n\n\t\t\t\tconsole.warn( 'THREE.Skeleton: Number of inverse bone matrices does not match amount of bones.' );\n\n\t\t\t\tthis.boneInverses = [];\n\n\t\t\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\t\t\tthis.boneInverses.push( new Matrix4() );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcalculateInverses() {\n\n\t\tthis.boneInverses.length = 0;\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst inverse = new Matrix4();\n\n\t\t\tif ( this.bones[ i ] ) {\n\n\t\t\t\tinverse.copy( this.bones[ i ].matrixWorld ).invert();\n\n\t\t\t}\n\n\t\t\tthis.boneInverses.push( inverse );\n\n\t\t}\n\n\t}\n\n\tpose() {\n\n\t\t// recover the bind-time world matrices\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone ) {\n\n\t\t\t\tbone.matrixWorld.copy( this.boneInverses[ i ] ).invert();\n\n\t\t\t}\n\n\t\t}\n\n\t\t// compute the local matrices, positions, rotations and scales\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone ) {\n\n\t\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\t\tbone.matrix.copy( bone.parent.matrixWorld ).invert();\n\t\t\t\t\tbone.matrix.multiply( bone.matrixWorld );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tbone.matrix.copy( bone.matrixWorld );\n\n\t\t\t\t}\n\n\t\t\t\tbone.matrix.decompose( bone.position, bone.quaternion, bone.scale );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdate() {\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\t\tconst boneMatrices = this.boneMatrices;\n\t\tconst boneTexture = this.boneTexture;\n\n\t\t// flatten bone matrices to array\n\n\t\tfor ( let i = 0, il = bones.length; i < il; i ++ ) {\n\n\t\t\t// compute the offset between the current and the original transform\n\n\t\t\tconst matrix = bones[ i ] ? bones[ i ].matrixWorld : _identityMatrix$1;\n\n\t\t\t_offsetMatrix.multiplyMatrices( matrix, boneInverses[ i ] );\n\t\t\t_offsetMatrix.toArray( boneMatrices, i * 16 );\n\n\t\t}\n\n\t\tif ( boneTexture !== null ) {\n\n\t\t\tboneTexture.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new Skeleton( this.bones, this.boneInverses );\n\n\t}\n\n\tcomputeBoneTexture() {\n\n\t\t// layout (1 matrix = 4 pixels)\n\t\t// RGBA RGBA RGBA RGBA (=> column1, column2, column3, column4)\n\t\t// with 8x8 pixel texture max 16 bones * 4 pixels = (8 * 8)\n\t\t// 16x16 pixel texture max 64 bones * 4 pixels = (16 * 16)\n\t\t// 32x32 pixel texture max 256 bones * 4 pixels = (32 * 32)\n\t\t// 64x64 pixel texture max 1024 bones * 4 pixels = (64 * 64)\n\n\t\tlet size = Math.sqrt( this.bones.length * 4 ); // 4 pixels needed for 1 matrix\n\t\tsize = Math.ceil( size / 4 ) * 4;\n\t\tsize = Math.max( size, 4 );\n\n\t\tconst boneMatrices = new Float32Array( size * size * 4 ); // 4 floats per RGBA pixel\n\t\tboneMatrices.set( this.boneMatrices ); // copy current values\n\n\t\tconst boneTexture = new DataTexture( boneMatrices, size, size, RGBAFormat, FloatType );\n\t\tboneTexture.needsUpdate = true;\n\n\t\tthis.boneMatrices = boneMatrices;\n\t\tthis.boneTexture = boneTexture;\n\n\t\treturn this;\n\n\t}\n\n\tgetBoneByName( name ) {\n\n\t\tfor ( let i = 0, il = this.bones.length; i < il; i ++ ) {\n\n\t\t\tconst bone = this.bones[ i ];\n\n\t\t\tif ( bone.name === name ) {\n\n\t\t\t\treturn bone;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn undefined;\n\n\t}\n\n\tdispose( ) {\n\n\t\tif ( this.boneTexture !== null ) {\n\n\t\t\tthis.boneTexture.dispose();\n\n\t\t\tthis.boneTexture = null;\n\n\t\t}\n\n\t}\n\n\tfromJSON( json, bones ) {\n\n\t\tthis.uuid = json.uuid;\n\n\t\tfor ( let i = 0, l = json.bones.length; i < l; i ++ ) {\n\n\t\t\tconst uuid = json.bones[ i ];\n\t\t\tlet bone = bones[ uuid ];\n\n\t\t\tif ( bone === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.Skeleton: No bone found with UUID:', uuid );\n\t\t\t\tbone = new Bone();\n\n\t\t\t}\n\n\t\t\tthis.bones.push( bone );\n\t\t\tthis.boneInverses.push( new Matrix4().fromArray( json.boneInverses[ i ] ) );\n\n\t\t}\n\n\t\tthis.init();\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Skeleton',\n\t\t\t\tgenerator: 'Skeleton.toJSON'\n\t\t\t},\n\t\t\tbones: [],\n\t\t\tboneInverses: []\n\t\t};\n\n\t\tdata.uuid = this.uuid;\n\n\t\tconst bones = this.bones;\n\t\tconst boneInverses = this.boneInverses;\n\n\t\tfor ( let i = 0, l = bones.length; i < l; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\t\t\tdata.bones.push( bone.uuid );\n\n\t\t\tconst boneInverse = boneInverses[ i ];\n\t\t\tdata.boneInverses.push( boneInverse.toArray() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass InstancedBufferAttribute extends BufferAttribute {\n\n\tconstructor( array, itemSize, normalized, meshPerAttribute = 1 ) {\n\n\t\tsuper( array, itemSize, normalized );\n\n\t\tthis.isInstancedBufferAttribute = true;\n\n\t\tthis.meshPerAttribute = meshPerAttribute;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.meshPerAttribute = source.meshPerAttribute;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.meshPerAttribute = this.meshPerAttribute;\n\n\t\tdata.isInstancedBufferAttribute = true;\n\n\t\treturn data;\n\n\t}\n\n}\n\nconst _instanceLocalMatrix = /*@__PURE__*/ new Matrix4();\nconst _instanceWorldMatrix = /*@__PURE__*/ new Matrix4();\n\nconst _instanceIntersects = [];\n\nconst _box3 = /*@__PURE__*/ new Box3();\nconst _identity = /*@__PURE__*/ new Matrix4();\nconst _mesh$1 = /*@__PURE__*/ new Mesh();\nconst _sphere$3 = /*@__PURE__*/ new Sphere();\n\nclass InstancedMesh extends Mesh {\n\n\tconstructor( geometry, material, count ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isInstancedMesh = true;\n\n\t\tthis.instanceMatrix = new InstancedBufferAttribute( new Float32Array( count * 16 ), 16 );\n\t\tthis.instanceColor = null;\n\n\t\tthis.count = count;\n\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.setMatrixAt( i, _identity );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst count = this.count;\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tif ( geometry.boundingBox === null ) {\n\n\t\t\tgeometry.computeBoundingBox();\n\n\t\t}\n\n\t\tthis.boundingBox.makeEmpty();\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.getMatrixAt( i, _instanceLocalMatrix );\n\n\t\t\t_box3.copy( geometry.boundingBox ).applyMatrix4( _instanceLocalMatrix );\n\n\t\t\tthis.boundingBox.union( _box3 );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst count = this.count;\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tif ( geometry.boundingSphere === null ) {\n\n\t\t\tgeometry.computeBoundingSphere();\n\n\t\t}\n\n\t\tthis.boundingSphere.makeEmpty();\n\n\t\tfor ( let i = 0; i < count; i ++ ) {\n\n\t\t\tthis.getMatrixAt( i, _instanceLocalMatrix );\n\n\t\t\t_sphere$3.copy( geometry.boundingSphere ).applyMatrix4( _instanceLocalMatrix );\n\n\t\t\tthis.boundingSphere.union( _sphere$3 );\n\n\t\t}\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.instanceMatrix.copy( source.instanceMatrix );\n\n\t\tif ( source.instanceColor !== null ) this.instanceColor = source.instanceColor.clone();\n\n\t\tthis.count = source.count;\n\n\t\tif ( source.boundingBox !== null ) this.boundingBox = source.boundingBox.clone();\n\t\tif ( source.boundingSphere !== null ) this.boundingSphere = source.boundingSphere.clone();\n\n\t\treturn this;\n\n\t}\n\n\tgetColorAt( index, color ) {\n\n\t\tcolor.fromArray( this.instanceColor.array, index * 3 );\n\n\t}\n\n\tgetMatrixAt( index, matrix ) {\n\n\t\tmatrix.fromArray( this.instanceMatrix.array, index * 16 );\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst raycastTimes = this.count;\n\n\t\t_mesh$1.geometry = this.geometry;\n\t\t_mesh$1.material = this.material;\n\n\t\tif ( _mesh$1.material === undefined ) return;\n\n\t\t// test with bounding sphere first\n\n\t\tif ( this.boundingSphere === null ) this.computeBoundingSphere();\n\n\t\t_sphere$3.copy( this.boundingSphere );\n\t\t_sphere$3.applyMatrix4( matrixWorld );\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$3 ) === false ) return;\n\n\t\t// now test each instance\n\n\t\tfor ( let instanceId = 0; instanceId < raycastTimes; instanceId ++ ) {\n\n\t\t\t// calculate the world matrix for each instance\n\n\t\t\tthis.getMatrixAt( instanceId, _instanceLocalMatrix );\n\n\t\t\t_instanceWorldMatrix.multiplyMatrices( matrixWorld, _instanceLocalMatrix );\n\n\t\t\t// the mesh represents this single instance\n\n\t\t\t_mesh$1.matrixWorld = _instanceWorldMatrix;\n\n\t\t\t_mesh$1.raycast( raycaster, _instanceIntersects );\n\n\t\t\t// process the result of raycast\n\n\t\t\tfor ( let i = 0, l = _instanceIntersects.length; i < l; i ++ ) {\n\n\t\t\t\tconst intersect = _instanceIntersects[ i ];\n\t\t\t\tintersect.instanceId = instanceId;\n\t\t\t\tintersect.object = this;\n\t\t\t\tintersects.push( intersect );\n\n\t\t\t}\n\n\t\t\t_instanceIntersects.length = 0;\n\n\t\t}\n\n\t}\n\n\tsetColorAt( index, color ) {\n\n\t\tif ( this.instanceColor === null ) {\n\n\t\t\tthis.instanceColor = new InstancedBufferAttribute( new Float32Array( this.instanceMatrix.count * 3 ), 3 );\n\n\t\t}\n\n\t\tcolor.toArray( this.instanceColor.array, index * 3 );\n\n\t}\n\n\tsetMatrixAt( index, matrix ) {\n\n\t\tmatrix.toArray( this.instanceMatrix.array, index * 16 );\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t}\n\n}\n\nfunction sortOpaque( a, b ) {\n\n\treturn a.z - b.z;\n\n}\n\nfunction sortTransparent( a, b ) {\n\n\treturn b.z - a.z;\n\n}\n\nclass MultiDrawRenderList {\n\n\tconstructor() {\n\n\t\tthis.index = 0;\n\t\tthis.pool = [];\n\t\tthis.list = [];\n\n\t}\n\n\tpush( drawRange, z ) {\n\n\t\tconst pool = this.pool;\n\t\tconst list = this.list;\n\t\tif ( this.index >= pool.length ) {\n\n\t\t\tpool.push( {\n\n\t\t\t\tstart: - 1,\n\t\t\t\tcount: - 1,\n\t\t\t\tz: - 1,\n\n\t\t\t} );\n\n\t\t}\n\n\t\tconst item = pool[ this.index ];\n\t\tlist.push( item );\n\t\tthis.index ++;\n\n\t\titem.start = drawRange.start;\n\t\titem.count = drawRange.count;\n\t\titem.z = z;\n\n\t}\n\n\treset() {\n\n\t\tthis.list.length = 0;\n\t\tthis.index = 0;\n\n\t}\n\n}\n\nconst ID_ATTR_NAME = 'batchId';\nconst _matrix = /*@__PURE__*/ new Matrix4();\nconst _invMatrixWorld = /*@__PURE__*/ new Matrix4();\nconst _identityMatrix = /*@__PURE__*/ new Matrix4();\nconst _projScreenMatrix$2 = /*@__PURE__*/ new Matrix4();\nconst _frustum = /*@__PURE__*/ new Frustum();\nconst _box$1 = /*@__PURE__*/ new Box3();\nconst _sphere$2 = /*@__PURE__*/ new Sphere();\nconst _vector$5 = /*@__PURE__*/ new Vector3();\nconst _renderList = /*@__PURE__*/ new MultiDrawRenderList();\nconst _mesh = /*@__PURE__*/ new Mesh();\nconst _batchIntersects = [];\n\n// @TODO: SkinnedMesh support?\n// @TODO: geometry.groups support?\n// @TODO: geometry.drawRange support?\n// @TODO: geometry.morphAttributes support?\n// @TODO: Support uniform parameter per geometry\n// @TODO: Add an \"optimize\" function to pack geometry and remove data gaps\n\n// copies data from attribute \"src\" into \"target\" starting at \"targetOffset\"\nfunction copyAttributeData( src, target, targetOffset = 0 ) {\n\n\tconst itemSize = target.itemSize;\n\tif ( src.isInterleavedBufferAttribute || src.array.constructor !== target.array.constructor ) {\n\n\t\t// use the component getters and setters if the array data cannot\n\t\t// be copied directly\n\t\tconst vertexCount = src.count;\n\t\tfor ( let i = 0; i < vertexCount; i ++ ) {\n\n\t\t\tfor ( let c = 0; c < itemSize; c ++ ) {\n\n\t\t\t\ttarget.setComponent( i + targetOffset, c, src.getComponent( i, c ) );\n\n\t\t\t}\n\n\t\t}\n\n\t} else {\n\n\t\t// faster copy approach using typed array set function\n\t\ttarget.array.set( src.array, targetOffset * itemSize );\n\n\t}\n\n\ttarget.needsUpdate = true;\n\n}\n\nclass BatchedMesh extends Mesh {\n\n\tget maxGeometryCount() {\n\n\t\treturn this._maxGeometryCount;\n\n\t}\n\n\tconstructor( maxGeometryCount, maxVertexCount, maxIndexCount = maxVertexCount * 2, material ) {\n\n\t\tsuper( new BufferGeometry(), material );\n\n\t\tthis.isBatchedMesh = true;\n\t\tthis.perObjectFrustumCulled = true;\n\t\tthis.sortObjects = true;\n\t\tthis.boundingBox = null;\n\t\tthis.boundingSphere = null;\n\t\tthis.customSort = null;\n\n\t\tthis._drawRanges = [];\n\t\tthis._reservedRanges = [];\n\n\t\tthis._visibility = [];\n\t\tthis._active = [];\n\t\tthis._bounds = [];\n\n\t\tthis._maxGeometryCount = maxGeometryCount;\n\t\tthis._maxVertexCount = maxVertexCount;\n\t\tthis._maxIndexCount = maxIndexCount;\n\n\t\tthis._geometryInitialized = false;\n\t\tthis._geometryCount = 0;\n\t\tthis._multiDrawCounts = new Int32Array( maxGeometryCount );\n\t\tthis._multiDrawStarts = new Int32Array( maxGeometryCount );\n\t\tthis._multiDrawCount = 0;\n\t\tthis._visibilityChanged = true;\n\n\t\t// Local matrix per geometry by using data texture\n\t\tthis._matricesTexture = null;\n\n\t\tthis._initMatricesTexture();\n\n\t}\n\n\t_initMatricesTexture() {\n\n\t\t// layout (1 matrix = 4 pixels)\n\t\t// RGBA RGBA RGBA RGBA (=> column1, column2, column3, column4)\n\t\t// with 8x8 pixel texture max 16 matrices * 4 pixels = (8 * 8)\n\t\t// 16x16 pixel texture max 64 matrices * 4 pixels = (16 * 16)\n\t\t// 32x32 pixel texture max 256 matrices * 4 pixels = (32 * 32)\n\t\t// 64x64 pixel texture max 1024 matrices * 4 pixels = (64 * 64)\n\n\t\tlet size = Math.sqrt( this._maxGeometryCount * 4 ); // 4 pixels needed for 1 matrix\n\t\tsize = Math.ceil( size / 4 ) * 4;\n\t\tsize = Math.max( size, 4 );\n\n\t\tconst matricesArray = new Float32Array( size * size * 4 ); // 4 floats per RGBA pixel\n\t\tconst matricesTexture = new DataTexture( matricesArray, size, size, RGBAFormat, FloatType );\n\n\t\tthis._matricesTexture = matricesTexture;\n\n\t}\n\n\t_initializeGeometry( reference ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst maxVertexCount = this._maxVertexCount;\n\t\tconst maxGeometryCount = this._maxGeometryCount;\n\t\tconst maxIndexCount = this._maxIndexCount;\n\t\tif ( this._geometryInitialized === false ) {\n\n\t\t\tfor ( const attributeName in reference.attributes ) {\n\n\t\t\t\tconst srcAttribute = reference.getAttribute( attributeName );\n\t\t\t\tconst { array, itemSize, normalized } = srcAttribute;\n\n\t\t\t\tconst dstArray = new array.constructor( maxVertexCount * itemSize );\n\t\t\t\tconst dstAttribute = new srcAttribute.constructor( dstArray, itemSize, normalized );\n\t\t\t\tdstAttribute.setUsage( srcAttribute.usage );\n\n\t\t\t\tgeometry.setAttribute( attributeName, dstAttribute );\n\n\t\t\t}\n\n\t\t\tif ( reference.getIndex() !== null ) {\n\n\t\t\t\tconst indexArray = maxVertexCount > 65536\n\t\t\t\t\t? new Uint32Array( maxIndexCount )\n\t\t\t\t\t: new Uint16Array( maxIndexCount );\n\n\t\t\t\tgeometry.setIndex( new BufferAttribute( indexArray, 1 ) );\n\n\t\t\t}\n\n\t\t\tconst idArray = maxGeometryCount > 65536\n\t\t\t\t? new Uint32Array( maxVertexCount )\n\t\t\t\t: new Uint16Array( maxVertexCount );\n\t\t\tgeometry.setAttribute( ID_ATTR_NAME, new BufferAttribute( idArray, 1 ) );\n\n\t\t\tthis._geometryInitialized = true;\n\n\t\t}\n\n\t}\n\n\t// Make sure the geometry is compatible with the existing combined geometry atributes\n\t_validateGeometry( geometry ) {\n\n\t\t// check that the geometry doesn't have a version of our reserved id attribute\n\t\tif ( geometry.getAttribute( ID_ATTR_NAME ) ) {\n\n\t\t\tthrow new Error( `BatchedMesh: Geometry cannot use attribute \"${ ID_ATTR_NAME }\"` );\n\n\t\t}\n\n\t\t// check to ensure the geometries are using consistent attributes and indices\n\t\tconst batchGeometry = this.geometry;\n\t\tif ( Boolean( geometry.getIndex() ) !== Boolean( batchGeometry.getIndex() ) ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: All geometries must consistently have \"index\".' );\n\n\t\t}\n\n\t\tfor ( const attributeName in batchGeometry.attributes ) {\n\n\t\t\tif ( attributeName === ID_ATTR_NAME ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tif ( ! geometry.hasAttribute( attributeName ) ) {\n\n\t\t\t\tthrow new Error( `BatchedMesh: Added geometry missing \"${ attributeName }\". All geometries must have consistent attributes.` );\n\n\t\t\t}\n\n\t\t\tconst srcAttribute = geometry.getAttribute( attributeName );\n\t\t\tconst dstAttribute = batchGeometry.getAttribute( attributeName );\n\t\t\tif ( srcAttribute.itemSize !== dstAttribute.itemSize || srcAttribute.normalized !== dstAttribute.normalized ) {\n\n\t\t\t\tthrow new Error( 'BatchedMesh: All attributes must have a consistent itemSize and normalized value.' );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tsetCustomSort( func ) {\n\n\t\tthis.customSort = func;\n\t\treturn this;\n\n\t}\n\n\tcomputeBoundingBox() {\n\n\t\tif ( this.boundingBox === null ) {\n\n\t\t\tthis.boundingBox = new Box3();\n\n\t\t}\n\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst boundingBox = this.boundingBox;\n\t\tconst active = this._active;\n\n\t\tboundingBox.makeEmpty();\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( active[ i ] === false ) continue;\n\n\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\tthis.getBoundingBoxAt( i, _box$1 ).applyMatrix4( _matrix );\n\t\t\tboundingBox.union( _box$1 );\n\n\t\t}\n\n\t}\n\n\tcomputeBoundingSphere() {\n\n\t\tif ( this.boundingSphere === null ) {\n\n\t\t\tthis.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst boundingSphere = this.boundingSphere;\n\t\tconst active = this._active;\n\n\t\tboundingSphere.makeEmpty();\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( active[ i ] === false ) continue;\n\n\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\t\t\tboundingSphere.union( _sphere$2 );\n\n\t\t}\n\n\t}\n\n\taddGeometry( geometry, vertexCount = - 1, indexCount = - 1 ) {\n\n\t\tthis._initializeGeometry( geometry );\n\n\t\tthis._validateGeometry( geometry );\n\n\t\t// ensure we're not over geometry\n\t\tif ( this._geometryCount >= this._maxGeometryCount ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Maximum geometry count reached.' );\n\n\t\t}\n\n\t\t// get the necessary range fo the geometry\n\t\tconst reservedRange = {\n\t\t\tvertexStart: - 1,\n\t\t\tvertexCount: - 1,\n\t\t\tindexStart: - 1,\n\t\t\tindexCount: - 1,\n\t\t};\n\n\t\tlet lastRange = null;\n\t\tconst reservedRanges = this._reservedRanges;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst bounds = this._bounds;\n\t\tif ( this._geometryCount !== 0 ) {\n\n\t\t\tlastRange = reservedRanges[ reservedRanges.length - 1 ];\n\n\t\t}\n\n\t\tif ( vertexCount === - 1 ) {\n\n\t\t\treservedRange.vertexCount = geometry.getAttribute( 'position' ).count;\n\n\t\t} else {\n\n\t\t\treservedRange.vertexCount = vertexCount;\n\n\t\t}\n\n\t\tif ( lastRange === null ) {\n\n\t\t\treservedRange.vertexStart = 0;\n\n\t\t} else {\n\n\t\t\treservedRange.vertexStart = lastRange.vertexStart + lastRange.vertexCount;\n\n\t\t}\n\n\t\tconst index = geometry.getIndex();\n\t\tconst hasIndex = index !== null;\n\t\tif ( hasIndex ) {\n\n\t\t\tif ( indexCount\t=== - 1 ) {\n\n\t\t\t\treservedRange.indexCount = index.count;\n\n\t\t\t} else {\n\n\t\t\t\treservedRange.indexCount = indexCount;\n\n\t\t\t}\n\n\t\t\tif ( lastRange === null ) {\n\n\t\t\t\treservedRange.indexStart = 0;\n\n\t\t\t} else {\n\n\t\t\t\treservedRange.indexStart = lastRange.indexStart + lastRange.indexCount;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif (\n\t\t\treservedRange.indexStart !== - 1 &&\n\t\t\treservedRange.indexStart + reservedRange.indexCount > this._maxIndexCount ||\n\t\t\treservedRange.vertexStart + reservedRange.vertexCount > this._maxVertexCount\n\t\t) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Reserved space request exceeds the maximum buffer size.' );\n\n\t\t}\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst matricesTexture = this._matricesTexture;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\n\t\t// push new visibility states\n\t\tvisibility.push( true );\n\t\tactive.push( true );\n\n\t\t// update id\n\t\tconst geometryId = this._geometryCount;\n\t\tthis._geometryCount ++;\n\n\t\t// initialize matrix information\n\t\t_identityMatrix.toArray( matricesArray, geometryId * 16 );\n\t\tmatricesTexture.needsUpdate = true;\n\n\t\t// add the reserved range and draw range objects\n\t\treservedRanges.push( reservedRange );\n\t\tdrawRanges.push( {\n\t\t\tstart: hasIndex ? reservedRange.indexStart : reservedRange.vertexStart,\n\t\t\tcount: - 1\n\t\t} );\n\t\tbounds.push( {\n\t\t\tboxInitialized: false,\n\t\t\tbox: new Box3(),\n\n\t\t\tsphereInitialized: false,\n\t\t\tsphere: new Sphere()\n\t\t} );\n\n\t\t// set the id for the geometry\n\t\tconst idAttribute = this.geometry.getAttribute( ID_ATTR_NAME );\n\t\tfor ( let i = 0; i < reservedRange.vertexCount; i ++ ) {\n\n\t\t\tidAttribute.setX( reservedRange.vertexStart + i, geometryId );\n\n\t\t}\n\n\t\tidAttribute.needsUpdate = true;\n\n\t\t// update the geometry\n\t\tthis.setGeometryAt( geometryId, geometry );\n\n\t\treturn geometryId;\n\n\t}\n\n\tsetGeometryAt( id, geometry ) {\n\n\t\tif ( id >= this._geometryCount ) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Maximum geometry count reached.' );\n\n\t\t}\n\n\t\tthis._validateGeometry( geometry );\n\n\t\tconst batchGeometry = this.geometry;\n\t\tconst hasIndex = batchGeometry.getIndex() !== null;\n\t\tconst dstIndex = batchGeometry.getIndex();\n\t\tconst srcIndex = geometry.getIndex();\n\t\tconst reservedRange = this._reservedRanges[ id ];\n\t\tif (\n\t\t\thasIndex &&\n\t\t\tsrcIndex.count > reservedRange.indexCount ||\n\t\t\tgeometry.attributes.position.count > reservedRange.vertexCount\n\t\t) {\n\n\t\t\tthrow new Error( 'BatchedMesh: Reserved space not large enough for provided geometry.' );\n\n\t\t}\n\n\t\t// copy geometry over\n\t\tconst vertexStart = reservedRange.vertexStart;\n\t\tconst vertexCount = reservedRange.vertexCount;\n\t\tfor ( const attributeName in batchGeometry.attributes ) {\n\n\t\t\tif ( attributeName === ID_ATTR_NAME ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\t// copy attribute data\n\t\t\tconst srcAttribute = geometry.getAttribute( attributeName );\n\t\t\tconst dstAttribute = batchGeometry.getAttribute( attributeName );\n\t\t\tcopyAttributeData( srcAttribute, dstAttribute, vertexStart );\n\n\t\t\t// fill the rest in with zeroes\n\t\t\tconst itemSize = srcAttribute.itemSize;\n\t\t\tfor ( let i = srcAttribute.count, l = vertexCount; i < l; i ++ ) {\n\n\t\t\t\tconst index = vertexStart + i;\n\t\t\t\tfor ( let c = 0; c < itemSize; c ++ ) {\n\n\t\t\t\t\tdstAttribute.setComponent( index, c, 0 );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tdstAttribute.needsUpdate = true;\n\n\t\t}\n\n\t\t// copy index\n\t\tif ( hasIndex ) {\n\n\t\t\tconst indexStart = reservedRange.indexStart;\n\n\t\t\t// copy index data over\n\t\t\tfor ( let i = 0; i < srcIndex.count; i ++ ) {\n\n\t\t\t\tdstIndex.setX( indexStart + i, vertexStart + srcIndex.getX( i ) );\n\n\t\t\t}\n\n\t\t\t// fill the rest in with zeroes\n\t\t\tfor ( let i = srcIndex.count, l = reservedRange.indexCount; i < l; i ++ ) {\n\n\t\t\t\tdstIndex.setX( indexStart + i, vertexStart );\n\n\t\t\t}\n\n\t\t\tdstIndex.needsUpdate = true;\n\n\t\t}\n\n\t\t// store the bounding boxes\n\t\tconst bound = this._bounds[ id ];\n\t\tif ( geometry.boundingBox !== null ) {\n\n\t\t\tbound.box.copy( geometry.boundingBox );\n\t\t\tbound.boxInitialized = true;\n\n\t\t} else {\n\n\t\t\tbound.boxInitialized = false;\n\n\t\t}\n\n\t\tif ( geometry.boundingSphere !== null ) {\n\n\t\t\tbound.sphere.copy( geometry.boundingSphere );\n\t\t\tbound.sphereInitialized = true;\n\n\t\t} else {\n\n\t\t\tbound.sphereInitialized = false;\n\n\t\t}\n\n\t\t// set drawRange count\n\t\tconst drawRange = this._drawRanges[ id ];\n\t\tconst posAttr = geometry.getAttribute( 'position' );\n\t\tdrawRange.count = hasIndex ? srcIndex.count : posAttr.count;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn id;\n\n\t}\n\n\tdeleteGeometry( geometryId ) {\n\n\t\t// Note: User needs to call optimize() afterward to pack the data.\n\n\t\tconst active = this._active;\n\t\tif ( geometryId >= active.length || active[ geometryId ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tactive[ geometryId ] = false;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn this;\n\n\t}\n\n\t// get bounding box and compute it if it doesn't exist\n\tgetBoundingBoxAt( id, target ) {\n\n\t\tconst active = this._active;\n\t\tif ( active[ id ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t// compute bounding box\n\t\tconst bound = this._bounds[ id ];\n\t\tconst box = bound.box;\n\t\tconst geometry = this.geometry;\n\t\tif ( bound.boxInitialized === false ) {\n\n\t\t\tbox.makeEmpty();\n\n\t\t\tconst index = geometry.index;\n\t\t\tconst position = geometry.attributes.position;\n\t\t\tconst drawRange = this._drawRanges[ id ];\n\t\t\tfor ( let i = drawRange.start, l = drawRange.start + drawRange.count; i < l; i ++ ) {\n\n\t\t\t\tlet iv = i;\n\t\t\t\tif ( index ) {\n\n\t\t\t\t\tiv = index.getX( iv );\n\n\t\t\t\t}\n\n\t\t\t\tbox.expandByPoint( _vector$5.fromBufferAttribute( position, iv ) );\n\n\t\t\t}\n\n\t\t\tbound.boxInitialized = true;\n\n\t\t}\n\n\t\ttarget.copy( box );\n\t\treturn target;\n\n\t}\n\n\t// get bounding sphere and compute it if it doesn't exist\n\tgetBoundingSphereAt( id, target ) {\n\n\t\tconst active = this._active;\n\t\tif ( active[ id ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\t// compute bounding sphere\n\t\tconst bound = this._bounds[ id ];\n\t\tconst sphere = bound.sphere;\n\t\tconst geometry = this.geometry;\n\t\tif ( bound.sphereInitialized === false ) {\n\n\t\t\tsphere.makeEmpty();\n\n\t\t\tthis.getBoundingBoxAt( id, _box$1 );\n\t\t\t_box$1.getCenter( sphere.center );\n\n\t\t\tconst index = geometry.index;\n\t\t\tconst position = geometry.attributes.position;\n\t\t\tconst drawRange = this._drawRanges[ id ];\n\n\t\t\tlet maxRadiusSq = 0;\n\t\t\tfor ( let i = drawRange.start, l = drawRange.start + drawRange.count; i < l; i ++ ) {\n\n\t\t\t\tlet iv = i;\n\t\t\t\tif ( index ) {\n\n\t\t\t\t\tiv = index.getX( iv );\n\n\t\t\t\t}\n\n\t\t\t\t_vector$5.fromBufferAttribute( position, iv );\n\t\t\t\tmaxRadiusSq = Math.max( maxRadiusSq, sphere.center.distanceToSquared( _vector$5 ) );\n\n\t\t\t}\n\n\t\t\tsphere.radius = Math.sqrt( maxRadiusSq );\n\t\t\tbound.sphereInitialized = true;\n\n\t\t}\n\n\t\ttarget.copy( sphere );\n\t\treturn target;\n\n\t}\n\n\tsetMatrixAt( geometryId, matrix ) {\n\n\t\t// @TODO: Map geometryId to index of the arrays because\n\t\t// optimize() can make geometryId mismatch the index\n\n\t\tconst active = this._active;\n\t\tconst matricesTexture = this._matricesTexture;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\t\tconst geometryCount = this._geometryCount;\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tmatrix.toArray( matricesArray, geometryId * 16 );\n\t\tmatricesTexture.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\tgetMatrixAt( geometryId, matrix ) {\n\n\t\tconst active = this._active;\n\t\tconst matricesArray = this._matricesTexture.image.data;\n\t\tconst geometryCount = this._geometryCount;\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\treturn matrix.fromArray( matricesArray, geometryId * 16 );\n\n\t}\n\n\tsetVisibleAt( geometryId, value ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst geometryCount = this._geometryCount;\n\n\t\t// if the geometry is out of range, not active, or visibility state\n\t\t// does not change then return early\n\t\tif (\n\t\t\tgeometryId >= geometryCount ||\n\t\t\tactive[ geometryId ] === false ||\n\t\t\tvisibility[ geometryId ] === value\n\t\t) {\n\n\t\t\treturn this;\n\n\t\t}\n\n\t\tvisibility[ geometryId ] = value;\n\t\tthis._visibilityChanged = true;\n\n\t\treturn this;\n\n\t}\n\n\tgetVisibleAt( geometryId ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst geometryCount = this._geometryCount;\n\n\t\t// return early if the geometry is out of range or not active\n\t\tif ( geometryId >= geometryCount || active[ geometryId ] === false ) {\n\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn visibility[ geometryId ];\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst visibility = this._visibility;\n\t\tconst active = this._active;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst geometryCount = this._geometryCount;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst batchGeometry = this.geometry;\n\n\t\t// iterate over each geometry\n\t\t_mesh.material = this.material;\n\t\t_mesh.geometry.index = batchGeometry.index;\n\t\t_mesh.geometry.attributes = batchGeometry.attributes;\n\t\tif ( _mesh.geometry.boundingBox === null ) {\n\n\t\t\t_mesh.geometry.boundingBox = new Box3();\n\n\t\t}\n\n\t\tif ( _mesh.geometry.boundingSphere === null ) {\n\n\t\t\t_mesh.geometry.boundingSphere = new Sphere();\n\n\t\t}\n\n\t\tfor ( let i = 0; i < geometryCount; i ++ ) {\n\n\t\t\tif ( ! visibility[ i ] || ! active[ i ] ) {\n\n\t\t\t\tcontinue;\n\n\t\t\t}\n\n\t\t\tconst drawRange = drawRanges[ i ];\n\t\t\t_mesh.geometry.setDrawRange( drawRange.start, drawRange.count );\n\n\t\t\t// ge the intersects\n\t\t\tthis.getMatrixAt( i, _mesh.matrixWorld ).premultiply( matrixWorld );\n\t\t\tthis.getBoundingBoxAt( i, _mesh.geometry.boundingBox );\n\t\t\tthis.getBoundingSphereAt( i, _mesh.geometry.boundingSphere );\n\t\t\t_mesh.raycast( raycaster, _batchIntersects );\n\n\t\t\t// add batch id to the intersects\n\t\t\tfor ( let j = 0, l = _batchIntersects.length; j < l; j ++ ) {\n\n\t\t\t\tconst intersect = _batchIntersects[ j ];\n\t\t\t\tintersect.object = this;\n\t\t\t\tintersect.batchId = i;\n\t\t\t\tintersects.push( intersect );\n\n\t\t\t}\n\n\t\t\t_batchIntersects.length = 0;\n\n\t\t}\n\n\t\t_mesh.material = null;\n\t\t_mesh.geometry.index = null;\n\t\t_mesh.geometry.attributes = {};\n\t\t_mesh.geometry.setDrawRange( 0, Infinity );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.geometry = source.geometry.clone();\n\t\tthis.perObjectFrustumCulled = source.perObjectFrustumCulled;\n\t\tthis.sortObjects = source.sortObjects;\n\t\tthis.boundingBox = source.boundingBox !== null ? source.boundingBox.clone() : null;\n\t\tthis.boundingSphere = source.boundingSphere !== null ? source.boundingSphere.clone() : null;\n\n\t\tthis._drawRanges = source._drawRanges.map( range => ( { ...range } ) );\n\t\tthis._reservedRanges = source._reservedRanges.map( range => ( { ...range } ) );\n\n\t\tthis._visibility = source._visibility.slice();\n\t\tthis._active = source._active.slice();\n\t\tthis._bounds = source._bounds.map( bound => ( {\n\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\tbox: bound.box.clone(),\n\n\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\tsphere: bound.sphere.clone()\n\t\t} ) );\n\n\t\tthis._maxGeometryCount = source._maxGeometryCount;\n\t\tthis._maxVertexCount = source._maxVertexCount;\n\t\tthis._maxIndexCount = source._maxIndexCount;\n\n\t\tthis._geometryInitialized = source._geometryInitialized;\n\t\tthis._geometryCount = source._geometryCount;\n\t\tthis._multiDrawCounts = source._multiDrawCounts.slice();\n\t\tthis._multiDrawStarts = source._multiDrawStarts.slice();\n\n\t\tthis._matricesTexture = source._matricesTexture.clone();\n\t\tthis._matricesTexture.image.data = this._matricesTexture.image.slice();\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\t// Assuming the geometry is not shared with other meshes\n\t\tthis.geometry.dispose();\n\n\t\tthis._matricesTexture.dispose();\n\t\tthis._matricesTexture = null;\n\t\treturn this;\n\n\t}\n\n\tonBeforeRender( renderer, scene, camera, geometry, material/*, _group*/ ) {\n\n\t\t// if visibility has not changed and frustum culling and object sorting is not required\n\t\t// then skip iterating over all items\n\t\tif ( ! this._visibilityChanged && ! this.perObjectFrustumCulled && ! this.sortObjects ) {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// the indexed version of the multi draw function requires specifying the start\n\t\t// offset in bytes.\n\t\tconst index = geometry.getIndex();\n\t\tconst bytesPerElement = index === null ? 1 : index.array.BYTES_PER_ELEMENT;\n\n\t\tconst visibility = this._visibility;\n\t\tconst multiDrawStarts = this._multiDrawStarts;\n\t\tconst multiDrawCounts = this._multiDrawCounts;\n\t\tconst drawRanges = this._drawRanges;\n\t\tconst perObjectFrustumCulled = this.perObjectFrustumCulled;\n\n\t\t// prepare the frustum in the local frame\n\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t_projScreenMatrix$2\n\t\t\t\t.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse )\n\t\t\t\t.multiply( this.matrixWorld );\n\t\t\t_frustum.setFromProjectionMatrix(\n\t\t\t\t_projScreenMatrix$2,\n\t\t\t\trenderer.isWebGPURenderer ? WebGPUCoordinateSystem : WebGLCoordinateSystem\n\t\t\t);\n\n\t\t}\n\n\t\tlet count = 0;\n\t\tif ( this.sortObjects ) {\n\n\t\t\t// get the camera position in the local frame\n\t\t\t_invMatrixWorld.copy( this.matrixWorld ).invert();\n\t\t\t_vector$5.setFromMatrixPosition( camera.matrixWorld ).applyMatrix4( _invMatrixWorld );\n\n\t\t\tfor ( let i = 0, l = visibility.length; i < l; i ++ ) {\n\n\t\t\t\tif ( visibility[ i ] ) {\n\n\t\t\t\t\t// get the bounds in world space\n\t\t\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\n\t\t\t\t\t// determine whether the batched geometry is within the frustum\n\t\t\t\t\tlet culled = false;\n\t\t\t\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t\t\t\tculled = ! _frustum.intersectsSphere( _sphere$2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! culled ) {\n\n\t\t\t\t\t\t// get the distance from camera used for sorting\n\t\t\t\t\t\tconst z = _vector$5.distanceTo( _sphere$2.center );\n\t\t\t\t\t\t_renderList.push( drawRanges[ i ], z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Sort the draw ranges and prep for rendering\n\t\t\tconst list = _renderList.list;\n\t\t\tconst customSort = this.customSort;\n\t\t\tif ( customSort === null ) {\n\n\t\t\t\tlist.sort( material.transparent ? sortTransparent : sortOpaque );\n\n\t\t\t} else {\n\n\t\t\t\tcustomSort.call( this, list, camera );\n\n\t\t\t}\n\n\t\t\tfor ( let i = 0, l = list.length; i < l; i ++ ) {\n\n\t\t\t\tconst item = list[ i ];\n\t\t\t\tmultiDrawStarts[ count ] = item.start * bytesPerElement;\n\t\t\t\tmultiDrawCounts[ count ] = item.count;\n\t\t\t\tcount ++;\n\n\t\t\t}\n\n\t\t\t_renderList.reset();\n\n\t\t} else {\n\n\t\t\tfor ( let i = 0, l = visibility.length; i < l; i ++ ) {\n\n\t\t\t\tif ( visibility[ i ] ) {\n\n\t\t\t\t\t// determine whether the batched geometry is within the frustum\n\t\t\t\t\tlet culled = false;\n\t\t\t\t\tif ( perObjectFrustumCulled ) {\n\n\t\t\t\t\t\t// get the bounds in world space\n\t\t\t\t\t\tthis.getMatrixAt( i, _matrix );\n\t\t\t\t\t\tthis.getBoundingSphereAt( i, _sphere$2 ).applyMatrix4( _matrix );\n\t\t\t\t\t\tculled = ! _frustum.intersectsSphere( _sphere$2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! culled ) {\n\n\t\t\t\t\t\tconst range = drawRanges[ i ];\n\t\t\t\t\t\tmultiDrawStarts[ count ] = range.start * bytesPerElement;\n\t\t\t\t\t\tmultiDrawCounts[ count ] = range.count;\n\t\t\t\t\t\tcount ++;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._multiDrawCount = count;\n\t\tthis._visibilityChanged = false;\n\n\t}\n\n\tonBeforeShadow( renderer, object, camera, shadowCamera, geometry, depthMaterial/* , group */ ) {\n\n\t\tthis.onBeforeRender( renderer, null, shadowCamera, geometry, depthMaterial );\n\n\t}\n\n}\n\nclass LineBasicMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isLineBasicMaterial = true;\n\n\t\tthis.type = 'LineBasicMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.linewidth = 1;\n\t\tthis.linecap = 'round';\n\t\tthis.linejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.linewidth = source.linewidth;\n\t\tthis.linecap = source.linecap;\n\t\tthis.linejoin = source.linejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _start$1 = /*@__PURE__*/ new Vector3();\nconst _end$1 = /*@__PURE__*/ new Vector3();\nconst _inverseMatrix$1 = /*@__PURE__*/ new Matrix4();\nconst _ray$1 = /*@__PURE__*/ new Ray();\nconst _sphere$1 = /*@__PURE__*/ new Sphere();\n\nclass Line extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new LineBasicMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isLine = true;\n\n\t\tthis.type = 'Line';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\tcomputeLineDistances() {\n\n\t\tconst geometry = this.geometry;\n\n\t\t// we assume non-indexed geometry\n\n\t\tif ( geometry.index === null ) {\n\n\t\t\tconst positionAttribute = geometry.attributes.position;\n\t\t\tconst lineDistances = [ 0 ];\n\n\t\t\tfor ( let i = 1, l = positionAttribute.count; i < l; i ++ ) {\n\n\t\t\t\t_start$1.fromBufferAttribute( positionAttribute, i - 1 );\n\t\t\t\t_end$1.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\tlineDistances[ i ] = lineDistances[ i - 1 ];\n\t\t\t\tlineDistances[ i ] += _start$1.distanceTo( _end$1 );\n\n\t\t\t}\n\n\t\t\tgeometry.setAttribute( 'lineDistance', new Float32BufferAttribute( lineDistances, 1 ) );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.' );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst threshold = raycaster.params.Line.threshold;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\t// Checking boundingSphere distance to ray\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere$1.copy( geometry.boundingSphere );\n\t\t_sphere$1.applyMatrix4( matrixWorld );\n\t\t_sphere$1.radius += threshold;\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere$1 ) === false ) return;\n\n\t\t//\n\n\t\t_inverseMatrix$1.copy( matrixWorld ).invert();\n\t\t_ray$1.copy( raycaster.ray ).applyMatrix4( _inverseMatrix$1 );\n\n\t\tconst localThreshold = threshold / ( ( this.scale.x + this.scale.y + this.scale.z ) / 3 );\n\t\tconst localThresholdSq = localThreshold * localThreshold;\n\n\t\tconst vStart = new Vector3();\n\t\tconst vEnd = new Vector3();\n\t\tconst interSegment = new Vector3();\n\t\tconst interRay = new Vector3();\n\t\tconst step = this.isLineSegments ? 2 : 1;\n\n\t\tconst index = geometry.index;\n\t\tconst attributes = geometry.attributes;\n\t\tconst positionAttribute = attributes.position;\n\n\t\tif ( index !== null ) {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end - 1; i < l; i += step ) {\n\n\t\t\t\tconst a = index.getX( i );\n\t\t\t\tconst b = index.getX( i + 1 );\n\n\t\t\t\tvStart.fromBufferAttribute( positionAttribute, a );\n\t\t\t\tvEnd.fromBufferAttribute( positionAttribute, b );\n\n\t\t\t\tconst distSq = _ray$1.distanceSqToSegment( vStart, vEnd, interRay, interSegment );\n\n\t\t\t\tif ( distSq > localThresholdSq ) continue;\n\n\t\t\t\tinterRay.applyMatrix4( this.matrixWorld ); //Move back to world space for distance calculation\n\n\t\t\t\tconst distance = raycaster.ray.origin.distanceTo( interRay );\n\n\t\t\t\tif ( distance < raycaster.near || distance > raycaster.far ) continue;\n\n\t\t\t\tintersects.push( {\n\n\t\t\t\t\tdistance: distance,\n\t\t\t\t\t// What do we want? intersection point on the ray or on the segment??\n\t\t\t\t\t// point: raycaster.ray.at( distance ),\n\t\t\t\t\tpoint: interSegment.clone().applyMatrix4( this.matrixWorld ),\n\t\t\t\t\tindex: i,\n\t\t\t\t\tface: null,\n\t\t\t\t\tfaceIndex: null,\n\t\t\t\t\tobject: this\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( positionAttribute.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end - 1; i < l; i += step ) {\n\n\t\t\t\tvStart.fromBufferAttribute( positionAttribute, i );\n\t\t\t\tvEnd.fromBufferAttribute( positionAttribute, i + 1 );\n\n\t\t\t\tconst distSq = _ray$1.distanceSqToSegment( vStart, vEnd, interRay, interSegment );\n\n\t\t\t\tif ( distSq > localThresholdSq ) continue;\n\n\t\t\t\tinterRay.applyMatrix4( this.matrixWorld ); //Move back to world space for distance calculation\n\n\t\t\t\tconst distance = raycaster.ray.origin.distanceTo( interRay );\n\n\t\t\t\tif ( distance < raycaster.near || distance > raycaster.far ) continue;\n\n\t\t\t\tintersects.push( {\n\n\t\t\t\t\tdistance: distance,\n\t\t\t\t\t// What do we want? intersection point on the ray or on the segment??\n\t\t\t\t\t// point: raycaster.ray.at( distance ),\n\t\t\t\t\tpoint: interSegment.clone().applyMatrix4( this.matrixWorld ),\n\t\t\t\t\tindex: i,\n\t\t\t\t\tface: null,\n\t\t\t\t\tfaceIndex: null,\n\t\t\t\t\tobject: this\n\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nconst _start = /*@__PURE__*/ new Vector3();\nconst _end = /*@__PURE__*/ new Vector3();\n\nclass LineSegments extends Line {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isLineSegments = true;\n\n\t\tthis.type = 'LineSegments';\n\n\t}\n\n\tcomputeLineDistances() {\n\n\t\tconst geometry = this.geometry;\n\n\t\t// we assume non-indexed geometry\n\n\t\tif ( geometry.index === null ) {\n\n\t\t\tconst positionAttribute = geometry.attributes.position;\n\t\t\tconst lineDistances = [];\n\n\t\t\tfor ( let i = 0, l = positionAttribute.count; i < l; i += 2 ) {\n\n\t\t\t\t_start.fromBufferAttribute( positionAttribute, i );\n\t\t\t\t_end.fromBufferAttribute( positionAttribute, i + 1 );\n\n\t\t\t\tlineDistances[ i ] = ( i === 0 ) ? 0 : lineDistances[ i - 1 ];\n\t\t\t\tlineDistances[ i + 1 ] = lineDistances[ i ] + _start.distanceTo( _end );\n\n\t\t\t}\n\n\t\t\tgeometry.setAttribute( 'lineDistance', new Float32BufferAttribute( lineDistances, 1 ) );\n\n\t\t} else {\n\n\t\t\tconsole.warn( 'THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.' );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineLoop extends Line {\n\n\tconstructor( geometry, material ) {\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isLineLoop = true;\n\n\t\tthis.type = 'LineLoop';\n\n\t}\n\n}\n\nclass PointsMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isPointsMaterial = true;\n\n\t\tthis.type = 'PointsMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.size = 1;\n\t\tthis.sizeAttenuation = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.size = source.size;\n\t\tthis.sizeAttenuation = source.sizeAttenuation;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _inverseMatrix = /*@__PURE__*/ new Matrix4();\nconst _ray = /*@__PURE__*/ new Ray();\nconst _sphere = /*@__PURE__*/ new Sphere();\nconst _position$2 = /*@__PURE__*/ new Vector3();\n\nclass Points extends Object3D {\n\n\tconstructor( geometry = new BufferGeometry(), material = new PointsMaterial() ) {\n\n\t\tsuper();\n\n\t\tthis.isPoints = true;\n\n\t\tthis.type = 'Points';\n\n\t\tthis.geometry = geometry;\n\t\tthis.material = material;\n\n\t\tthis.updateMorphTargets();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.material = Array.isArray( source.material ) ? source.material.slice() : source.material;\n\t\tthis.geometry = source.geometry;\n\n\t\treturn this;\n\n\t}\n\n\traycast( raycaster, intersects ) {\n\n\t\tconst geometry = this.geometry;\n\t\tconst matrixWorld = this.matrixWorld;\n\t\tconst threshold = raycaster.params.Points.threshold;\n\t\tconst drawRange = geometry.drawRange;\n\n\t\t// Checking boundingSphere distance to ray\n\n\t\tif ( geometry.boundingSphere === null ) geometry.computeBoundingSphere();\n\n\t\t_sphere.copy( geometry.boundingSphere );\n\t\t_sphere.applyMatrix4( matrixWorld );\n\t\t_sphere.radius += threshold;\n\n\t\tif ( raycaster.ray.intersectsSphere( _sphere ) === false ) return;\n\n\t\t//\n\n\t\t_inverseMatrix.copy( matrixWorld ).invert();\n\t\t_ray.copy( raycaster.ray ).applyMatrix4( _inverseMatrix );\n\n\t\tconst localThreshold = threshold / ( ( this.scale.x + this.scale.y + this.scale.z ) / 3 );\n\t\tconst localThresholdSq = localThreshold * localThreshold;\n\n\t\tconst index = geometry.index;\n\t\tconst attributes = geometry.attributes;\n\t\tconst positionAttribute = attributes.position;\n\n\t\tif ( index !== null ) {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( index.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, il = end; i < il; i ++ ) {\n\n\t\t\t\tconst a = index.getX( i );\n\n\t\t\t\t_position$2.fromBufferAttribute( positionAttribute, a );\n\n\t\t\t\ttestPoint( _position$2, a, localThresholdSq, matrixWorld, raycaster, intersects, this );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\tconst start = Math.max( 0, drawRange.start );\n\t\t\tconst end = Math.min( positionAttribute.count, ( drawRange.start + drawRange.count ) );\n\n\t\t\tfor ( let i = start, l = end; i < l; i ++ ) {\n\n\t\t\t\t_position$2.fromBufferAttribute( positionAttribute, i );\n\n\t\t\t\ttestPoint( _position$2, i, localThresholdSq, matrixWorld, raycaster, intersects, this );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tupdateMorphTargets() {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst morphAttributes = geometry.morphAttributes;\n\t\tconst keys = Object.keys( morphAttributes );\n\n\t\tif ( keys.length > 0 ) {\n\n\t\t\tconst morphAttribute = morphAttributes[ keys[ 0 ] ];\n\n\t\t\tif ( morphAttribute !== undefined ) {\n\n\t\t\t\tthis.morphTargetInfluences = [];\n\t\t\t\tthis.morphTargetDictionary = {};\n\n\t\t\t\tfor ( let m = 0, ml = morphAttribute.length; m < ml; m ++ ) {\n\n\t\t\t\t\tconst name = morphAttribute[ m ].name || String( m );\n\n\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}\n\nfunction testPoint( point, index, localThresholdSq, matrixWorld, raycaster, intersects, object ) {\n\n\tconst rayPointDistanceSq = _ray.distanceSqToPoint( point );\n\n\tif ( rayPointDistanceSq < localThresholdSq ) {\n\n\t\tconst intersectPoint = new Vector3();\n\n\t\t_ray.closestPointToPoint( point, intersectPoint );\n\t\tintersectPoint.applyMatrix4( matrixWorld );\n\n\t\tconst distance = raycaster.ray.origin.distanceTo( intersectPoint );\n\n\t\tif ( distance < raycaster.near || distance > raycaster.far ) return;\n\n\t\tintersects.push( {\n\n\t\t\tdistance: distance,\n\t\t\tdistanceToRay: Math.sqrt( rayPointDistanceSq ),\n\t\t\tpoint: intersectPoint,\n\t\t\tindex: index,\n\t\t\tface: null,\n\t\t\tobject: object\n\n\t\t} );\n\n\t}\n\n}\n\nclass VideoTexture extends Texture {\n\n\tconstructor( video, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy ) {\n\n\t\tsuper( video, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isVideoTexture = true;\n\n\t\tthis.minFilter = minFilter !== undefined ? minFilter : LinearFilter;\n\t\tthis.magFilter = magFilter !== undefined ? magFilter : LinearFilter;\n\n\t\tthis.generateMipmaps = false;\n\n\t\tconst scope = this;\n\n\t\tfunction updateVideo() {\n\n\t\t\tscope.needsUpdate = true;\n\t\t\tvideo.requestVideoFrameCallback( updateVideo );\n\n\t\t}\n\n\t\tif ( 'requestVideoFrameCallback' in video ) {\n\n\t\t\tvideo.requestVideoFrameCallback( updateVideo );\n\n\t\t}\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor( this.image ).copy( this );\n\n\t}\n\n\tupdate() {\n\n\t\tconst video = this.image;\n\t\tconst hasVideoFrameCallback = 'requestVideoFrameCallback' in video;\n\n\t\tif ( hasVideoFrameCallback === false && video.readyState >= video.HAVE_CURRENT_DATA ) {\n\n\t\t\tthis.needsUpdate = true;\n\n\t\t}\n\n\t}\n\n}\n\nclass FramebufferTexture extends Texture {\n\n\tconstructor( width, height ) {\n\n\t\tsuper( { width, height } );\n\n\t\tthis.isFramebufferTexture = true;\n\n\t\tthis.magFilter = NearestFilter;\n\t\tthis.minFilter = NearestFilter;\n\n\t\tthis.generateMipmaps = false;\n\n\t\tthis.needsUpdate = true;\n\n\t}\n\n}\n\nclass CompressedTexture extends Texture {\n\n\tconstructor( mipmaps, width, height, format, type, mapping, wrapS, wrapT, magFilter, minFilter, anisotropy, colorSpace ) {\n\n\t\tsuper( null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, colorSpace );\n\n\t\tthis.isCompressedTexture = true;\n\n\t\tthis.image = { width: width, height: height };\n\t\tthis.mipmaps = mipmaps;\n\n\t\t// no flipping for cube textures\n\t\t// (also flipping doesn't work for compressed textures )\n\n\t\tthis.flipY = false;\n\n\t\t// can't generate mipmaps for compressed textures\n\t\t// mips must be embedded in DDS files\n\n\t\tthis.generateMipmaps = false;\n\n\t}\n\n}\n\nclass CompressedArrayTexture extends CompressedTexture {\n\n\tconstructor( mipmaps, width, height, depth, format, type ) {\n\n\t\tsuper( mipmaps, width, height, format, type );\n\n\t\tthis.isCompressedArrayTexture = true;\n\t\tthis.image.depth = depth;\n\t\tthis.wrapR = ClampToEdgeWrapping;\n\n\t}\n\n}\n\nclass CompressedCubeTexture extends CompressedTexture {\n\n\tconstructor( images, format, type ) {\n\n\t\tsuper( undefined, images[ 0 ].width, images[ 0 ].height, format, type, CubeReflectionMapping );\n\n\t\tthis.isCompressedCubeTexture = true;\n\t\tthis.isCubeTexture = true;\n\n\t\tthis.image = images;\n\n\t}\n\n}\n\nclass CanvasTexture extends Texture {\n\n\tconstructor( canvas, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy ) {\n\n\t\tsuper( canvas, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy );\n\n\t\tthis.isCanvasTexture = true;\n\n\t\tthis.needsUpdate = true;\n\n\t}\n\n}\n\n/**\n * Extensible curve object.\n *\n * Some common of curve methods:\n * .getPoint( t, optionalTarget ), .getTangent( t, optionalTarget )\n * .getPointAt( u, optionalTarget ), .getTangentAt( u, optionalTarget )\n * .getPoints(), .getSpacedPoints()\n * .getLength()\n * .updateArcLengths()\n *\n * This following curves inherit from THREE.Curve:\n *\n * -- 2D curves --\n * THREE.ArcCurve\n * THREE.CubicBezierCurve\n * THREE.EllipseCurve\n * THREE.LineCurve\n * THREE.QuadraticBezierCurve\n * THREE.SplineCurve\n *\n * -- 3D curves --\n * THREE.CatmullRomCurve3\n * THREE.CubicBezierCurve3\n * THREE.LineCurve3\n * THREE.QuadraticBezierCurve3\n *\n * A series of curves can be represented as a THREE.CurvePath.\n *\n **/\n\nclass Curve {\n\n\tconstructor() {\n\n\t\tthis.type = 'Curve';\n\n\t\tthis.arcLengthDivisions = 200;\n\n\t}\n\n\t// Virtual base class method to overwrite and implement in subclasses\n\t//\t- t [0 .. 1]\n\n\tgetPoint( /* t, optionalTarget */ ) {\n\n\t\tconsole.warn( 'THREE.Curve: .getPoint() not implemented.' );\n\t\treturn null;\n\n\t}\n\n\t// Get point at relative position in curve according to arc length\n\t// - u [0 .. 1]\n\n\tgetPointAt( u, optionalTarget ) {\n\n\t\tconst t = this.getUtoTmapping( u );\n\t\treturn this.getPoint( t, optionalTarget );\n\n\t}\n\n\t// Get sequence of points using getPoint( t )\n\n\tgetPoints( divisions = 5 ) {\n\n\t\tconst points = [];\n\n\t\tfor ( let d = 0; d <= divisions; d ++ ) {\n\n\t\t\tpoints.push( this.getPoint( d / divisions ) );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\t// Get sequence of points using getPointAt( u )\n\n\tgetSpacedPoints( divisions = 5 ) {\n\n\t\tconst points = [];\n\n\t\tfor ( let d = 0; d <= divisions; d ++ ) {\n\n\t\t\tpoints.push( this.getPointAt( d / divisions ) );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\t// Get total curve arc length\n\n\tgetLength() {\n\n\t\tconst lengths = this.getLengths();\n\t\treturn lengths[ lengths.length - 1 ];\n\n\t}\n\n\t// Get list of cumulative segment lengths\n\n\tgetLengths( divisions = this.arcLengthDivisions ) {\n\n\t\tif ( this.cacheArcLengths &&\n\t\t\t( this.cacheArcLengths.length === divisions + 1 ) &&\n\t\t\t! this.needsUpdate ) {\n\n\t\t\treturn this.cacheArcLengths;\n\n\t\t}\n\n\t\tthis.needsUpdate = false;\n\n\t\tconst cache = [];\n\t\tlet current, last = this.getPoint( 0 );\n\t\tlet sum = 0;\n\n\t\tcache.push( 0 );\n\n\t\tfor ( let p = 1; p <= divisions; p ++ ) {\n\n\t\t\tcurrent = this.getPoint( p / divisions );\n\t\t\tsum += current.distanceTo( last );\n\t\t\tcache.push( sum );\n\t\t\tlast = current;\n\n\t\t}\n\n\t\tthis.cacheArcLengths = cache;\n\n\t\treturn cache; // { sums: cache, sum: sum }; Sum is in the last element.\n\n\t}\n\n\tupdateArcLengths() {\n\n\t\tthis.needsUpdate = true;\n\t\tthis.getLengths();\n\n\t}\n\n\t// Given u ( 0 .. 1 ), get a t to find p. This gives you points which are equidistant\n\n\tgetUtoTmapping( u, distance ) {\n\n\t\tconst arcLengths = this.getLengths();\n\n\t\tlet i = 0;\n\t\tconst il = arcLengths.length;\n\n\t\tlet targetArcLength; // The targeted u distance value to get\n\n\t\tif ( distance ) {\n\n\t\t\ttargetArcLength = distance;\n\n\t\t} else {\n\n\t\t\ttargetArcLength = u * arcLengths[ il - 1 ];\n\n\t\t}\n\n\t\t// binary search for the index with largest value smaller than target u distance\n\n\t\tlet low = 0, high = il - 1, comparison;\n\n\t\twhile ( low <= high ) {\n\n\t\t\ti = Math.floor( low + ( high - low ) / 2 ); // less likely to overflow, though probably not issue here, JS doesn't really have integers, all numbers are floats\n\n\t\t\tcomparison = arcLengths[ i ] - targetArcLength;\n\n\t\t\tif ( comparison < 0 ) {\n\n\t\t\t\tlow = i + 1;\n\n\t\t\t} else if ( comparison > 0 ) {\n\n\t\t\t\thigh = i - 1;\n\n\t\t\t} else {\n\n\t\t\t\thigh = i;\n\t\t\t\tbreak;\n\n\t\t\t\t// DONE\n\n\t\t\t}\n\n\t\t}\n\n\t\ti = high;\n\n\t\tif ( arcLengths[ i ] === targetArcLength ) {\n\n\t\t\treturn i / ( il - 1 );\n\n\t\t}\n\n\t\t// we could get finer grain at lengths, or use simple interpolation between two points\n\n\t\tconst lengthBefore = arcLengths[ i ];\n\t\tconst lengthAfter = arcLengths[ i + 1 ];\n\n\t\tconst segmentLength = lengthAfter - lengthBefore;\n\n\t\t// determine where we are between the 'before' and 'after' points\n\n\t\tconst segmentFraction = ( targetArcLength - lengthBefore ) / segmentLength;\n\n\t\t// add that fractional amount to t\n\n\t\tconst t = ( i + segmentFraction ) / ( il - 1 );\n\n\t\treturn t;\n\n\t}\n\n\t// Returns a unit vector tangent at t\n\t// In case any sub curve does not implement its tangent derivation,\n\t// 2 points a small delta apart will be used to find its gradient\n\t// which seems to give a reasonable approximation\n\n\tgetTangent( t, optionalTarget ) {\n\n\t\tconst delta = 0.0001;\n\t\tlet t1 = t - delta;\n\t\tlet t2 = t + delta;\n\n\t\t// Capping in case of danger\n\n\t\tif ( t1 < 0 ) t1 = 0;\n\t\tif ( t2 > 1 ) t2 = 1;\n\n\t\tconst pt1 = this.getPoint( t1 );\n\t\tconst pt2 = this.getPoint( t2 );\n\n\t\tconst tangent = optionalTarget || ( ( pt1.isVector2 ) ? new Vector2() : new Vector3() );\n\n\t\ttangent.copy( pt2 ).sub( pt1 ).normalize();\n\n\t\treturn tangent;\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\tconst t = this.getUtoTmapping( u );\n\t\treturn this.getTangent( t, optionalTarget );\n\n\t}\n\n\tcomputeFrenetFrames( segments, closed ) {\n\n\t\t// see http://www.cs.indiana.edu/pub/techreports/TR425.pdf\n\n\t\tconst normal = new Vector3();\n\n\t\tconst tangents = [];\n\t\tconst normals = [];\n\t\tconst binormals = [];\n\n\t\tconst vec = new Vector3();\n\t\tconst mat = new Matrix4();\n\n\t\t// compute the tangent vectors for each segment on the curve\n\n\t\tfor ( let i = 0; i <= segments; i ++ ) {\n\n\t\t\tconst u = i / segments;\n\n\t\t\ttangents[ i ] = this.getTangentAt( u, new Vector3() );\n\n\t\t}\n\n\t\t// select an initial normal vector perpendicular to the first tangent vector,\n\t\t// and in the direction of the minimum tangent xyz component\n\n\t\tnormals[ 0 ] = new Vector3();\n\t\tbinormals[ 0 ] = new Vector3();\n\t\tlet min = Number.MAX_VALUE;\n\t\tconst tx = Math.abs( tangents[ 0 ].x );\n\t\tconst ty = Math.abs( tangents[ 0 ].y );\n\t\tconst tz = Math.abs( tangents[ 0 ].z );\n\n\t\tif ( tx <= min ) {\n\n\t\t\tmin = tx;\n\t\t\tnormal.set( 1, 0, 0 );\n\n\t\t}\n\n\t\tif ( ty <= min ) {\n\n\t\t\tmin = ty;\n\t\t\tnormal.set( 0, 1, 0 );\n\n\t\t}\n\n\t\tif ( tz <= min ) {\n\n\t\t\tnormal.set( 0, 0, 1 );\n\n\t\t}\n\n\t\tvec.crossVectors( tangents[ 0 ], normal ).normalize();\n\n\t\tnormals[ 0 ].crossVectors( tangents[ 0 ], vec );\n\t\tbinormals[ 0 ].crossVectors( tangents[ 0 ], normals[ 0 ] );\n\n\n\t\t// compute the slowly-varying normal and binormal vectors for each segment on the curve\n\n\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\tnormals[ i ] = normals[ i - 1 ].clone();\n\n\t\t\tbinormals[ i ] = binormals[ i - 1 ].clone();\n\n\t\t\tvec.crossVectors( tangents[ i - 1 ], tangents[ i ] );\n\n\t\t\tif ( vec.length() > Number.EPSILON ) {\n\n\t\t\t\tvec.normalize();\n\n\t\t\t\tconst theta = Math.acos( clamp( tangents[ i - 1 ].dot( tangents[ i ] ), - 1, 1 ) ); // clamp for floating pt errors\n\n\t\t\t\tnormals[ i ].applyMatrix4( mat.makeRotationAxis( vec, theta ) );\n\n\t\t\t}\n\n\t\t\tbinormals[ i ].crossVectors( tangents[ i ], normals[ i ] );\n\n\t\t}\n\n\t\t// if the curve is closed, postprocess the vectors so the first and last normal vectors are the same\n\n\t\tif ( closed === true ) {\n\n\t\t\tlet theta = Math.acos( clamp( normals[ 0 ].dot( normals[ segments ] ), - 1, 1 ) );\n\t\t\ttheta /= segments;\n\n\t\t\tif ( tangents[ 0 ].dot( vec.crossVectors( normals[ 0 ], normals[ segments ] ) ) > 0 ) {\n\n\t\t\t\ttheta = - theta;\n\n\t\t\t}\n\n\t\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\t\t// twist a little...\n\t\t\t\tnormals[ i ].applyMatrix4( mat.makeRotationAxis( tangents[ i ], theta * i ) );\n\t\t\t\tbinormals[ i ].crossVectors( tangents[ i ], normals[ i ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn {\n\t\t\ttangents: tangents,\n\t\t\tnormals: normals,\n\t\t\tbinormals: binormals\n\t\t};\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.arcLengthDivisions = source.arcLengthDivisions;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = {\n\t\t\tmetadata: {\n\t\t\t\tversion: 4.6,\n\t\t\t\ttype: 'Curve',\n\t\t\t\tgenerator: 'Curve.toJSON'\n\t\t\t}\n\t\t};\n\n\t\tdata.arcLengthDivisions = this.arcLengthDivisions;\n\t\tdata.type = this.type;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tthis.arcLengthDivisions = json.arcLengthDivisions;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass EllipseCurve extends Curve {\n\n\tconstructor( aX = 0, aY = 0, xRadius = 1, yRadius = 1, aStartAngle = 0, aEndAngle = Math.PI * 2, aClockwise = false, aRotation = 0 ) {\n\n\t\tsuper();\n\n\t\tthis.isEllipseCurve = true;\n\n\t\tthis.type = 'EllipseCurve';\n\n\t\tthis.aX = aX;\n\t\tthis.aY = aY;\n\n\t\tthis.xRadius = xRadius;\n\t\tthis.yRadius = yRadius;\n\n\t\tthis.aStartAngle = aStartAngle;\n\t\tthis.aEndAngle = aEndAngle;\n\n\t\tthis.aClockwise = aClockwise;\n\n\t\tthis.aRotation = aRotation;\n\n\t}\n\n\tgetPoint( t, optionalTarget ) {\n\n\t\tconst point = optionalTarget || new Vector2();\n\n\t\tconst twoPi = Math.PI * 2;\n\t\tlet deltaAngle = this.aEndAngle - this.aStartAngle;\n\t\tconst samePoints = Math.abs( deltaAngle ) < Number.EPSILON;\n\n\t\t// ensures that deltaAngle is 0 .. 2 PI\n\t\twhile ( deltaAngle < 0 ) deltaAngle += twoPi;\n\t\twhile ( deltaAngle > twoPi ) deltaAngle -= twoPi;\n\n\t\tif ( deltaAngle < Number.EPSILON ) {\n\n\t\t\tif ( samePoints ) {\n\n\t\t\t\tdeltaAngle = 0;\n\n\t\t\t} else {\n\n\t\t\t\tdeltaAngle = twoPi;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( this.aClockwise === true && ! samePoints ) {\n\n\t\t\tif ( deltaAngle === twoPi ) {\n\n\t\t\t\tdeltaAngle = - twoPi;\n\n\t\t\t} else {\n\n\t\t\t\tdeltaAngle = deltaAngle - twoPi;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst angle = this.aStartAngle + t * deltaAngle;\n\t\tlet x = this.aX + this.xRadius * Math.cos( angle );\n\t\tlet y = this.aY + this.yRadius * Math.sin( angle );\n\n\t\tif ( this.aRotation !== 0 ) {\n\n\t\t\tconst cos = Math.cos( this.aRotation );\n\t\t\tconst sin = Math.sin( this.aRotation );\n\n\t\t\tconst tx = x - this.aX;\n\t\t\tconst ty = y - this.aY;\n\n\t\t\t// Rotate the point about the center of the ellipse.\n\t\t\tx = tx * cos - ty * sin + this.aX;\n\t\t\ty = tx * sin + ty * cos + this.aY;\n\n\t\t}\n\n\t\treturn point.set( x, y );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.aX = source.aX;\n\t\tthis.aY = source.aY;\n\n\t\tthis.xRadius = source.xRadius;\n\t\tthis.yRadius = source.yRadius;\n\n\t\tthis.aStartAngle = source.aStartAngle;\n\t\tthis.aEndAngle = source.aEndAngle;\n\n\t\tthis.aClockwise = source.aClockwise;\n\n\t\tthis.aRotation = source.aRotation;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.aX = this.aX;\n\t\tdata.aY = this.aY;\n\n\t\tdata.xRadius = this.xRadius;\n\t\tdata.yRadius = this.yRadius;\n\n\t\tdata.aStartAngle = this.aStartAngle;\n\t\tdata.aEndAngle = this.aEndAngle;\n\n\t\tdata.aClockwise = this.aClockwise;\n\n\t\tdata.aRotation = this.aRotation;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.aX = json.aX;\n\t\tthis.aY = json.aY;\n\n\t\tthis.xRadius = json.xRadius;\n\t\tthis.yRadius = json.yRadius;\n\n\t\tthis.aStartAngle = json.aStartAngle;\n\t\tthis.aEndAngle = json.aEndAngle;\n\n\t\tthis.aClockwise = json.aClockwise;\n\n\t\tthis.aRotation = json.aRotation;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass ArcCurve extends EllipseCurve {\n\n\tconstructor( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tsuper( aX, aY, aRadius, aRadius, aStartAngle, aEndAngle, aClockwise );\n\n\t\tthis.isArcCurve = true;\n\n\t\tthis.type = 'ArcCurve';\n\n\t}\n\n}\n\n/**\n * Centripetal CatmullRom Curve - which is useful for avoiding\n * cusps and self-intersections in non-uniform catmull rom curves.\n * http://www.cemyuksel.com/research/catmullrom_param/catmullrom.pdf\n *\n * curve.type accepts centripetal(default), chordal and catmullrom\n * curve.tension is used for catmullrom which defaults to 0.5\n */\n\n\n/*\nBased on an optimized c++ solution in\n - http://stackoverflow.com/questions/9489736/catmull-rom-curve-with-no-cusps-and-no-self-intersections/\n - http://ideone.com/NoEbVM\n\nThis CubicPoly class could be used for reusing some variables and calculations,\nbut for three.js curve use, it could be possible inlined and flatten into a single function call\nwhich can be placed in CurveUtils.\n*/\n\nfunction CubicPoly() {\n\n\tlet c0 = 0, c1 = 0, c2 = 0, c3 = 0;\n\n\t/*\n\t * Compute coefficients for a cubic polynomial\n\t * p(s) = c0 + c1*s + c2*s^2 + c3*s^3\n\t * such that\n\t * p(0) = x0, p(1) = x1\n\t * and\n\t * p'(0) = t0, p'(1) = t1.\n\t */\n\tfunction init( x0, x1, t0, t1 ) {\n\n\t\tc0 = x0;\n\t\tc1 = t0;\n\t\tc2 = - 3 * x0 + 3 * x1 - 2 * t0 - t1;\n\t\tc3 = 2 * x0 - 2 * x1 + t0 + t1;\n\n\t}\n\n\treturn {\n\n\t\tinitCatmullRom: function ( x0, x1, x2, x3, tension ) {\n\n\t\t\tinit( x1, x2, tension * ( x2 - x0 ), tension * ( x3 - x1 ) );\n\n\t\t},\n\n\t\tinitNonuniformCatmullRom: function ( x0, x1, x2, x3, dt0, dt1, dt2 ) {\n\n\t\t\t// compute tangents when parameterized in [t1,t2]\n\t\t\tlet t1 = ( x1 - x0 ) / dt0 - ( x2 - x0 ) / ( dt0 + dt1 ) + ( x2 - x1 ) / dt1;\n\t\t\tlet t2 = ( x2 - x1 ) / dt1 - ( x3 - x1 ) / ( dt1 + dt2 ) + ( x3 - x2 ) / dt2;\n\n\t\t\t// rescale tangents for parametrization in [0,1]\n\t\t\tt1 *= dt1;\n\t\t\tt2 *= dt1;\n\n\t\t\tinit( x1, x2, t1, t2 );\n\n\t\t},\n\n\t\tcalc: function ( t ) {\n\n\t\t\tconst t2 = t * t;\n\t\t\tconst t3 = t2 * t;\n\t\t\treturn c0 + c1 * t + c2 * t2 + c3 * t3;\n\n\t\t}\n\n\t};\n\n}\n\n//\n\nconst tmp = /*@__PURE__*/ new Vector3();\nconst px = /*@__PURE__*/ new CubicPoly();\nconst py = /*@__PURE__*/ new CubicPoly();\nconst pz = /*@__PURE__*/ new CubicPoly();\n\nclass CatmullRomCurve3 extends Curve {\n\n\tconstructor( points = [], closed = false, curveType = 'centripetal', tension = 0.5 ) {\n\n\t\tsuper();\n\n\t\tthis.isCatmullRomCurve3 = true;\n\n\t\tthis.type = 'CatmullRomCurve3';\n\n\t\tthis.points = points;\n\t\tthis.closed = closed;\n\t\tthis.curveType = curveType;\n\t\tthis.tension = tension;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst points = this.points;\n\t\tconst l = points.length;\n\n\t\tconst p = ( l - ( this.closed ? 0 : 1 ) ) * t;\n\t\tlet intPoint = Math.floor( p );\n\t\tlet weight = p - intPoint;\n\n\t\tif ( this.closed ) {\n\n\t\t\tintPoint += intPoint > 0 ? 0 : ( Math.floor( Math.abs( intPoint ) / l ) + 1 ) * l;\n\n\t\t} else if ( weight === 0 && intPoint === l - 1 ) {\n\n\t\t\tintPoint = l - 2;\n\t\t\tweight = 1;\n\n\t\t}\n\n\t\tlet p0, p3; // 4 points (p1 & p2 defined below)\n\n\t\tif ( this.closed || intPoint > 0 ) {\n\n\t\t\tp0 = points[ ( intPoint - 1 ) % l ];\n\n\t\t} else {\n\n\t\t\t// extrapolate first point\n\t\t\ttmp.subVectors( points[ 0 ], points[ 1 ] ).add( points[ 0 ] );\n\t\t\tp0 = tmp;\n\n\t\t}\n\n\t\tconst p1 = points[ intPoint % l ];\n\t\tconst p2 = points[ ( intPoint + 1 ) % l ];\n\n\t\tif ( this.closed || intPoint + 2 < l ) {\n\n\t\t\tp3 = points[ ( intPoint + 2 ) % l ];\n\n\t\t} else {\n\n\t\t\t// extrapolate last point\n\t\t\ttmp.subVectors( points[ l - 1 ], points[ l - 2 ] ).add( points[ l - 1 ] );\n\t\t\tp3 = tmp;\n\n\t\t}\n\n\t\tif ( this.curveType === 'centripetal' || this.curveType === 'chordal' ) {\n\n\t\t\t// init Centripetal / Chordal Catmull-Rom\n\t\t\tconst pow = this.curveType === 'chordal' ? 0.5 : 0.25;\n\t\t\tlet dt0 = Math.pow( p0.distanceToSquared( p1 ), pow );\n\t\t\tlet dt1 = Math.pow( p1.distanceToSquared( p2 ), pow );\n\t\t\tlet dt2 = Math.pow( p2.distanceToSquared( p3 ), pow );\n\n\t\t\t// safety check for repeated points\n\t\t\tif ( dt1 < 1e-4 ) dt1 = 1.0;\n\t\t\tif ( dt0 < 1e-4 ) dt0 = dt1;\n\t\t\tif ( dt2 < 1e-4 ) dt2 = dt1;\n\n\t\t\tpx.initNonuniformCatmullRom( p0.x, p1.x, p2.x, p3.x, dt0, dt1, dt2 );\n\t\t\tpy.initNonuniformCatmullRom( p0.y, p1.y, p2.y, p3.y, dt0, dt1, dt2 );\n\t\t\tpz.initNonuniformCatmullRom( p0.z, p1.z, p2.z, p3.z, dt0, dt1, dt2 );\n\n\t\t} else if ( this.curveType === 'catmullrom' ) {\n\n\t\t\tpx.initCatmullRom( p0.x, p1.x, p2.x, p3.x, this.tension );\n\t\t\tpy.initCatmullRom( p0.y, p1.y, p2.y, p3.y, this.tension );\n\t\t\tpz.initCatmullRom( p0.z, p1.z, p2.z, p3.z, this.tension );\n\n\t\t}\n\n\t\tpoint.set(\n\t\t\tpx.calc( weight ),\n\t\t\tpy.calc( weight ),\n\t\t\tpz.calc( weight )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = source.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = source.points[ i ];\n\n\t\t\tthis.points.push( point.clone() );\n\n\t\t}\n\n\t\tthis.closed = source.closed;\n\t\tthis.curveType = source.curveType;\n\t\tthis.tension = source.tension;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.points = [];\n\n\t\tfor ( let i = 0, l = this.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = this.points[ i ];\n\t\t\tdata.points.push( point.toArray() );\n\n\t\t}\n\n\t\tdata.closed = this.closed;\n\t\tdata.curveType = this.curveType;\n\t\tdata.tension = this.tension;\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = json.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = json.points[ i ];\n\t\t\tthis.points.push( new Vector3().fromArray( point ) );\n\n\t\t}\n\n\t\tthis.closed = json.closed;\n\t\tthis.curveType = json.curveType;\n\t\tthis.tension = json.tension;\n\n\t\treturn this;\n\n\t}\n\n}\n\n/**\n * Bezier Curves formulas obtained from\n * https://en.wikipedia.org/wiki/B%C3%A9zier_curve\n */\n\nfunction CatmullRom( t, p0, p1, p2, p3 ) {\n\n\tconst v0 = ( p2 - p0 ) * 0.5;\n\tconst v1 = ( p3 - p1 ) * 0.5;\n\tconst t2 = t * t;\n\tconst t3 = t * t2;\n\treturn ( 2 * p1 - 2 * p2 + v0 + v1 ) * t3 + ( - 3 * p1 + 3 * p2 - 2 * v0 - v1 ) * t2 + v0 * t + p1;\n\n}\n\n//\n\nfunction QuadraticBezierP0( t, p ) {\n\n\tconst k = 1 - t;\n\treturn k * k * p;\n\n}\n\nfunction QuadraticBezierP1( t, p ) {\n\n\treturn 2 * ( 1 - t ) * t * p;\n\n}\n\nfunction QuadraticBezierP2( t, p ) {\n\n\treturn t * t * p;\n\n}\n\nfunction QuadraticBezier( t, p0, p1, p2 ) {\n\n\treturn QuadraticBezierP0( t, p0 ) + QuadraticBezierP1( t, p1 ) +\n\t\tQuadraticBezierP2( t, p2 );\n\n}\n\n//\n\nfunction CubicBezierP0( t, p ) {\n\n\tconst k = 1 - t;\n\treturn k * k * k * p;\n\n}\n\nfunction CubicBezierP1( t, p ) {\n\n\tconst k = 1 - t;\n\treturn 3 * k * k * t * p;\n\n}\n\nfunction CubicBezierP2( t, p ) {\n\n\treturn 3 * ( 1 - t ) * t * t * p;\n\n}\n\nfunction CubicBezierP3( t, p ) {\n\n\treturn t * t * t * p;\n\n}\n\nfunction CubicBezier( t, p0, p1, p2, p3 ) {\n\n\treturn CubicBezierP0( t, p0 ) + CubicBezierP1( t, p1 ) + CubicBezierP2( t, p2 ) +\n\t\tCubicBezierP3( t, p3 );\n\n}\n\nclass CubicBezierCurve extends Curve {\n\n\tconstructor( v0 = new Vector2(), v1 = new Vector2(), v2 = new Vector2(), v3 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isCubicBezierCurve = true;\n\n\t\tthis.type = 'CubicBezierCurve';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\t\tthis.v3 = v3;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2, v3 = this.v3;\n\n\t\tpoint.set(\n\t\t\tCubicBezier( t, v0.x, v1.x, v2.x, v3.x ),\n\t\t\tCubicBezier( t, v0.y, v1.y, v2.y, v3.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\t\tthis.v3.copy( source.v3 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\t\tdata.v3 = this.v3.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\t\tthis.v3.fromArray( json.v3 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass CubicBezierCurve3 extends Curve {\n\n\tconstructor( v0 = new Vector3(), v1 = new Vector3(), v2 = new Vector3(), v3 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isCubicBezierCurve3 = true;\n\n\t\tthis.type = 'CubicBezierCurve3';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\t\tthis.v3 = v3;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2, v3 = this.v3;\n\n\t\tpoint.set(\n\t\t\tCubicBezier( t, v0.x, v1.x, v2.x, v3.x ),\n\t\t\tCubicBezier( t, v0.y, v1.y, v2.y, v3.y ),\n\t\t\tCubicBezier( t, v0.z, v1.z, v2.z, v3.z )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\t\tthis.v3.copy( source.v3 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\t\tdata.v3 = this.v3.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\t\tthis.v3.fromArray( json.v3 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineCurve extends Curve {\n\n\tconstructor( v1 = new Vector2(), v2 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isLineCurve = true;\n\n\t\tthis.type = 'LineCurve';\n\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tif ( t === 1 ) {\n\n\t\t\tpoint.copy( this.v2 );\n\n\t\t} else {\n\n\t\t\tpoint.copy( this.v2 ).sub( this.v1 );\n\t\t\tpoint.multiplyScalar( t ).add( this.v1 );\n\n\t\t}\n\n\t\treturn point;\n\n\t}\n\n\t// Line curve is linear, so we can overwrite default getPointAt\n\tgetPointAt( u, optionalTarget ) {\n\n\t\treturn this.getPoint( u, optionalTarget );\n\n\t}\n\n\tgetTangent( t, optionalTarget = new Vector2() ) {\n\n\t\treturn optionalTarget.subVectors( this.v2, this.v1 ).normalize();\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\treturn this.getTangent( u, optionalTarget );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineCurve3 extends Curve {\n\n\tconstructor( v1 = new Vector3(), v2 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isLineCurve3 = true;\n\n\t\tthis.type = 'LineCurve3';\n\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tif ( t === 1 ) {\n\n\t\t\tpoint.copy( this.v2 );\n\n\t\t} else {\n\n\t\t\tpoint.copy( this.v2 ).sub( this.v1 );\n\t\t\tpoint.multiplyScalar( t ).add( this.v1 );\n\n\t\t}\n\n\t\treturn point;\n\n\t}\n\n\t// Line curve is linear, so we can overwrite default getPointAt\n\tgetPointAt( u, optionalTarget ) {\n\n\t\treturn this.getPoint( u, optionalTarget );\n\n\t}\n\n\tgetTangent( t, optionalTarget = new Vector3() ) {\n\n\t\treturn optionalTarget.subVectors( this.v2, this.v1 ).normalize();\n\n\t}\n\n\tgetTangentAt( u, optionalTarget ) {\n\n\t\treturn this.getTangent( u, optionalTarget );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass QuadraticBezierCurve extends Curve {\n\n\tconstructor( v0 = new Vector2(), v1 = new Vector2(), v2 = new Vector2() ) {\n\n\t\tsuper();\n\n\t\tthis.isQuadraticBezierCurve = true;\n\n\t\tthis.type = 'QuadraticBezierCurve';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2;\n\n\t\tpoint.set(\n\t\t\tQuadraticBezier( t, v0.x, v1.x, v2.x ),\n\t\t\tQuadraticBezier( t, v0.y, v1.y, v2.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass QuadraticBezierCurve3 extends Curve {\n\n\tconstructor( v0 = new Vector3(), v1 = new Vector3(), v2 = new Vector3() ) {\n\n\t\tsuper();\n\n\t\tthis.isQuadraticBezierCurve3 = true;\n\n\t\tthis.type = 'QuadraticBezierCurve3';\n\n\t\tthis.v0 = v0;\n\t\tthis.v1 = v1;\n\t\tthis.v2 = v2;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector3() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst v0 = this.v0, v1 = this.v1, v2 = this.v2;\n\n\t\tpoint.set(\n\t\t\tQuadraticBezier( t, v0.x, v1.x, v2.x ),\n\t\t\tQuadraticBezier( t, v0.y, v1.y, v2.y ),\n\t\t\tQuadraticBezier( t, v0.z, v1.z, v2.z )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.v0.copy( source.v0 );\n\t\tthis.v1.copy( source.v1 );\n\t\tthis.v2.copy( source.v2 );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.v0 = this.v0.toArray();\n\t\tdata.v1 = this.v1.toArray();\n\t\tdata.v2 = this.v2.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.v0.fromArray( json.v0 );\n\t\tthis.v1.fromArray( json.v1 );\n\t\tthis.v2.fromArray( json.v2 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass SplineCurve extends Curve {\n\n\tconstructor( points = [] ) {\n\n\t\tsuper();\n\n\t\tthis.isSplineCurve = true;\n\n\t\tthis.type = 'SplineCurve';\n\n\t\tthis.points = points;\n\n\t}\n\n\tgetPoint( t, optionalTarget = new Vector2() ) {\n\n\t\tconst point = optionalTarget;\n\n\t\tconst points = this.points;\n\t\tconst p = ( points.length - 1 ) * t;\n\n\t\tconst intPoint = Math.floor( p );\n\t\tconst weight = p - intPoint;\n\n\t\tconst p0 = points[ intPoint === 0 ? intPoint : intPoint - 1 ];\n\t\tconst p1 = points[ intPoint ];\n\t\tconst p2 = points[ intPoint > points.length - 2 ? points.length - 1 : intPoint + 1 ];\n\t\tconst p3 = points[ intPoint > points.length - 3 ? points.length - 1 : intPoint + 2 ];\n\n\t\tpoint.set(\n\t\t\tCatmullRom( weight, p0.x, p1.x, p2.x, p3.x ),\n\t\t\tCatmullRom( weight, p0.y, p1.y, p2.y, p3.y )\n\t\t);\n\n\t\treturn point;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = source.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = source.points[ i ];\n\n\t\t\tthis.points.push( point.clone() );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.points = [];\n\n\t\tfor ( let i = 0, l = this.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = this.points[ i ];\n\t\t\tdata.points.push( point.toArray() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.points = [];\n\n\t\tfor ( let i = 0, l = json.points.length; i < l; i ++ ) {\n\n\t\t\tconst point = json.points[ i ];\n\t\t\tthis.points.push( new Vector2().fromArray( point ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nvar Curves = /*#__PURE__*/Object.freeze({\n\t__proto__: null,\n\tArcCurve: ArcCurve,\n\tCatmullRomCurve3: CatmullRomCurve3,\n\tCubicBezierCurve: CubicBezierCurve,\n\tCubicBezierCurve3: CubicBezierCurve3,\n\tEllipseCurve: EllipseCurve,\n\tLineCurve: LineCurve,\n\tLineCurve3: LineCurve3,\n\tQuadraticBezierCurve: QuadraticBezierCurve,\n\tQuadraticBezierCurve3: QuadraticBezierCurve3,\n\tSplineCurve: SplineCurve\n});\n\n/**************************************************************\n *\tCurved Path - a curve path is simply a array of connected\n * curves, but retains the api of a curve\n **************************************************************/\n\nclass CurvePath extends Curve {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.type = 'CurvePath';\n\n\t\tthis.curves = [];\n\t\tthis.autoClose = false; // Automatically closes the path\n\n\t}\n\n\tadd( curve ) {\n\n\t\tthis.curves.push( curve );\n\n\t}\n\n\tclosePath() {\n\n\t\t// Add a line curve if start and end of lines are not connected\n\t\tconst startPoint = this.curves[ 0 ].getPoint( 0 );\n\t\tconst endPoint = this.curves[ this.curves.length - 1 ].getPoint( 1 );\n\n\t\tif ( ! startPoint.equals( endPoint ) ) {\n\n\t\t\tconst lineType = ( startPoint.isVector2 === true ) ? 'LineCurve' : 'LineCurve3';\n\t\t\tthis.curves.push( new Curves[ lineType ]( endPoint, startPoint ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// To get accurate point with reference to\n\t// entire path distance at time t,\n\t// following has to be done:\n\n\t// 1. Length of each sub path have to be known\n\t// 2. Locate and identify type of curve\n\t// 3. Get t for the curve\n\t// 4. Return curve.getPointAt(t')\n\n\tgetPoint( t, optionalTarget ) {\n\n\t\tconst d = t * this.getLength();\n\t\tconst curveLengths = this.getCurveLengths();\n\t\tlet i = 0;\n\n\t\t// To think about boundaries points.\n\n\t\twhile ( i < curveLengths.length ) {\n\n\t\t\tif ( curveLengths[ i ] >= d ) {\n\n\t\t\t\tconst diff = curveLengths[ i ] - d;\n\t\t\t\tconst curve = this.curves[ i ];\n\n\t\t\t\tconst segmentLength = curve.getLength();\n\t\t\t\tconst u = segmentLength === 0 ? 0 : 1 - diff / segmentLength;\n\n\t\t\t\treturn curve.getPointAt( u, optionalTarget );\n\n\t\t\t}\n\n\t\t\ti ++;\n\n\t\t}\n\n\t\treturn null;\n\n\t\t// loop where sum != 0, sum > d , sum+1 1 && ! points[ points.length - 1 ].equals( points[ 0 ] ) ) {\n\n\t\t\tpoints.push( points[ 0 ] );\n\n\t\t}\n\n\t\treturn points;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.curves = [];\n\n\t\tfor ( let i = 0, l = source.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = source.curves[ i ];\n\n\t\t\tthis.curves.push( curve.clone() );\n\n\t\t}\n\n\t\tthis.autoClose = source.autoClose;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.autoClose = this.autoClose;\n\t\tdata.curves = [];\n\n\t\tfor ( let i = 0, l = this.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = this.curves[ i ];\n\t\t\tdata.curves.push( curve.toJSON() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.autoClose = json.autoClose;\n\t\tthis.curves = [];\n\n\t\tfor ( let i = 0, l = json.curves.length; i < l; i ++ ) {\n\n\t\t\tconst curve = json.curves[ i ];\n\t\t\tthis.curves.push( new Curves[ curve.type ]().fromJSON( curve ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Path extends CurvePath {\n\n\tconstructor( points ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'Path';\n\n\t\tthis.currentPoint = new Vector2();\n\n\t\tif ( points ) {\n\n\t\t\tthis.setFromPoints( points );\n\n\t\t}\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.moveTo( points[ 0 ].x, points[ 0 ].y );\n\n\t\tfor ( let i = 1, l = points.length; i < l; i ++ ) {\n\n\t\t\tthis.lineTo( points[ i ].x, points[ i ].y );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tmoveTo( x, y ) {\n\n\t\tthis.currentPoint.set( x, y ); // TODO consider referencing vectors instead of copying?\n\n\t\treturn this;\n\n\t}\n\n\tlineTo( x, y ) {\n\n\t\tconst curve = new LineCurve( this.currentPoint.clone(), new Vector2( x, y ) );\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tquadraticCurveTo( aCPx, aCPy, aX, aY ) {\n\n\t\tconst curve = new QuadraticBezierCurve(\n\t\t\tthis.currentPoint.clone(),\n\t\t\tnew Vector2( aCPx, aCPy ),\n\t\t\tnew Vector2( aX, aY )\n\t\t);\n\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tbezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY ) {\n\n\t\tconst curve = new CubicBezierCurve(\n\t\t\tthis.currentPoint.clone(),\n\t\t\tnew Vector2( aCP1x, aCP1y ),\n\t\t\tnew Vector2( aCP2x, aCP2y ),\n\t\t\tnew Vector2( aX, aY )\n\t\t);\n\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.set( aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tsplineThru( pts /*Array of Vector*/ ) {\n\n\t\tconst npts = [ this.currentPoint.clone() ].concat( pts );\n\n\t\tconst curve = new SplineCurve( npts );\n\t\tthis.curves.push( curve );\n\n\t\tthis.currentPoint.copy( pts[ pts.length - 1 ] );\n\n\t\treturn this;\n\n\t}\n\n\tarc( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tconst x0 = this.currentPoint.x;\n\t\tconst y0 = this.currentPoint.y;\n\n\t\tthis.absarc( aX + x0, aY + y0, aRadius,\n\t\t\taStartAngle, aEndAngle, aClockwise );\n\n\t\treturn this;\n\n\t}\n\n\tabsarc( aX, aY, aRadius, aStartAngle, aEndAngle, aClockwise ) {\n\n\t\tthis.absellipse( aX, aY, aRadius, aRadius, aStartAngle, aEndAngle, aClockwise );\n\n\t\treturn this;\n\n\t}\n\n\tellipse( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation ) {\n\n\t\tconst x0 = this.currentPoint.x;\n\t\tconst y0 = this.currentPoint.y;\n\n\t\tthis.absellipse( aX + x0, aY + y0, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation );\n\n\t\treturn this;\n\n\t}\n\n\tabsellipse( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation ) {\n\n\t\tconst curve = new EllipseCurve( aX, aY, xRadius, yRadius, aStartAngle, aEndAngle, aClockwise, aRotation );\n\n\t\tif ( this.curves.length > 0 ) {\n\n\t\t\t// if a previous curve is present, attempt to join\n\t\t\tconst firstPoint = curve.getPoint( 0 );\n\n\t\t\tif ( ! firstPoint.equals( this.currentPoint ) ) {\n\n\t\t\t\tthis.lineTo( firstPoint.x, firstPoint.y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.curves.push( curve );\n\n\t\tconst lastPoint = curve.getPoint( 1 );\n\t\tthis.currentPoint.copy( lastPoint );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.currentPoint.copy( source.currentPoint );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.currentPoint = this.currentPoint.toArray();\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.currentPoint.fromArray( json.currentPoint );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LatheGeometry extends BufferGeometry {\n\n\tconstructor( points = [ new Vector2( 0, - 0.5 ), new Vector2( 0.5, 0 ), new Vector2( 0, 0.5 ) ], segments = 12, phiStart = 0, phiLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'LatheGeometry';\n\n\t\tthis.parameters = {\n\t\t\tpoints: points,\n\t\t\tsegments: segments,\n\t\t\tphiStart: phiStart,\n\t\t\tphiLength: phiLength\n\t\t};\n\n\t\tsegments = Math.floor( segments );\n\n\t\t// clamp phiLength so it's in range of [ 0, 2PI ]\n\n\t\tphiLength = clamp( phiLength, 0, Math.PI * 2 );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst uvs = [];\n\t\tconst initNormals = [];\n\t\tconst normals = [];\n\n\t\t// helper variables\n\n\t\tconst inverseSegments = 1.0 / segments;\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\t\tconst normal = new Vector3();\n\t\tconst curNormal = new Vector3();\n\t\tconst prevNormal = new Vector3();\n\t\tlet dx = 0;\n\t\tlet dy = 0;\n\n\t\t// pre-compute normals for initial \"meridian\"\n\n\t\tfor ( let j = 0; j <= ( points.length - 1 ); j ++ ) {\n\n\t\t\tswitch ( j ) {\n\n\t\t\t\tcase 0:\t\t\t\t// special handling for 1st vertex on path\n\n\t\t\t\t\tdx = points[ j + 1 ].x - points[ j ].x;\n\t\t\t\t\tdy = points[ j + 1 ].y - points[ j ].y;\n\n\t\t\t\t\tnormal.x = dy * 1.0;\n\t\t\t\t\tnormal.y = - dx;\n\t\t\t\t\tnormal.z = dy * 0.0;\n\n\t\t\t\t\tprevNormal.copy( normal );\n\n\t\t\t\t\tnormal.normalize();\n\n\t\t\t\t\tinitNormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase ( points.length - 1 ):\t// special handling for last Vertex on path\n\n\t\t\t\t\tinitNormals.push( prevNormal.x, prevNormal.y, prevNormal.z );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\t\t\t// default handling for all vertices in between\n\n\t\t\t\t\tdx = points[ j + 1 ].x - points[ j ].x;\n\t\t\t\t\tdy = points[ j + 1 ].y - points[ j ].y;\n\n\t\t\t\t\tnormal.x = dy * 1.0;\n\t\t\t\t\tnormal.y = - dx;\n\t\t\t\t\tnormal.z = dy * 0.0;\n\n\t\t\t\t\tcurNormal.copy( normal );\n\n\t\t\t\t\tnormal.x += prevNormal.x;\n\t\t\t\t\tnormal.y += prevNormal.y;\n\t\t\t\t\tnormal.z += prevNormal.z;\n\n\t\t\t\t\tnormal.normalize();\n\n\t\t\t\t\tinitNormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\tprevNormal.copy( curNormal );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate vertices, uvs and normals\n\n\t\tfor ( let i = 0; i <= segments; i ++ ) {\n\n\t\t\tconst phi = phiStart + i * inverseSegments * phiLength;\n\n\t\t\tconst sin = Math.sin( phi );\n\t\t\tconst cos = Math.cos( phi );\n\n\t\t\tfor ( let j = 0; j <= ( points.length - 1 ); j ++ ) {\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = points[ j ].x * sin;\n\t\t\t\tvertex.y = points[ j ].y;\n\t\t\t\tvertex.z = points[ j ].x * cos;\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = i / segments;\n\t\t\t\tuv.y = j / ( points.length - 1 );\n\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t// normal\n\n\t\t\t\tconst x = initNormals[ 3 * j + 0 ] * sin;\n\t\t\t\tconst y = initNormals[ 3 * j + 1 ];\n\t\t\t\tconst z = initNormals[ 3 * j + 0 ] * cos;\n\n\t\t\t\tnormals.push( x, y, z );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let i = 0; i < segments; i ++ ) {\n\n\t\t\tfor ( let j = 0; j < ( points.length - 1 ); j ++ ) {\n\n\t\t\t\tconst base = j + i * points.length;\n\n\t\t\t\tconst a = base;\n\t\t\t\tconst b = base + points.length;\n\t\t\t\tconst c = base + points.length + 1;\n\t\t\t\tconst d = base + 1;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( c, d, b );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new LatheGeometry( data.points, data.segments, data.phiStart, data.phiLength );\n\n\t}\n\n}\n\nclass CapsuleGeometry extends LatheGeometry {\n\n\tconstructor( radius = 1, length = 1, capSegments = 4, radialSegments = 8 ) {\n\n\t\tconst path = new Path();\n\t\tpath.absarc( 0, - length / 2, radius, Math.PI * 1.5, 0 );\n\t\tpath.absarc( 0, length / 2, radius, 0, Math.PI * 0.5 );\n\n\t\tsuper( path.getPoints( capSegments ), radialSegments );\n\n\t\tthis.type = 'CapsuleGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tlength: length,\n\t\t\tcapSegments: capSegments,\n\t\t\tradialSegments: radialSegments,\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CapsuleGeometry( data.radius, data.length, data.capSegments, data.radialSegments );\n\n\t}\n\n}\n\nclass CircleGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, segments = 32, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CircleGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tsegments: segments,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tsegments = Math.max( 3, segments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\n\t\t// center point\n\n\t\tvertices.push( 0, 0, 0 );\n\t\tnormals.push( 0, 0, 1 );\n\t\tuvs.push( 0.5, 0.5 );\n\n\t\tfor ( let s = 0, i = 3; s <= segments; s ++, i += 3 ) {\n\n\t\t\tconst segment = thetaStart + s / segments * thetaLength;\n\n\t\t\t// vertex\n\n\t\t\tvertex.x = radius * Math.cos( segment );\n\t\t\tvertex.y = radius * Math.sin( segment );\n\n\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t// normal\n\n\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t// uvs\n\n\t\t\tuv.x = ( vertices[ i ] / radius + 1 ) / 2;\n\t\t\tuv.y = ( vertices[ i + 1 ] / radius + 1 ) / 2;\n\n\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let i = 1; i <= segments; i ++ ) {\n\n\t\t\tindices.push( i, i + 1, 0 );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CircleGeometry( data.radius, data.segments, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass CylinderGeometry extends BufferGeometry {\n\n\tconstructor( radiusTop = 1, radiusBottom = 1, height = 1, radialSegments = 32, heightSegments = 1, openEnded = false, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'CylinderGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradiusTop: radiusTop,\n\t\t\tradiusBottom: radiusBottom,\n\t\t\theight: height,\n\t\t\tradialSegments: radialSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\topenEnded: openEnded,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tconst scope = this;\n\n\t\tradialSegments = Math.floor( radialSegments );\n\t\theightSegments = Math.floor( heightSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet index = 0;\n\t\tconst indexArray = [];\n\t\tconst halfHeight = height / 2;\n\t\tlet groupStart = 0;\n\n\t\t// generate geometry\n\n\t\tgenerateTorso();\n\n\t\tif ( openEnded === false ) {\n\n\t\t\tif ( radiusTop > 0 ) generateCap( true );\n\t\t\tif ( radiusBottom > 0 ) generateCap( false );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\tfunction generateTorso() {\n\n\t\t\tconst normal = new Vector3();\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tlet groupCount = 0;\n\n\t\t\t// this will be used to calculate the normal\n\t\t\tconst slope = ( radiusBottom - radiusTop ) / height;\n\n\t\t\t// generate vertices, normals and uvs\n\n\t\t\tfor ( let y = 0; y <= heightSegments; y ++ ) {\n\n\t\t\t\tconst indexRow = [];\n\n\t\t\t\tconst v = y / heightSegments;\n\n\t\t\t\t// calculate the radius of the current row\n\n\t\t\t\tconst radius = v * ( radiusBottom - radiusTop ) + radiusTop;\n\n\t\t\t\tfor ( let x = 0; x <= radialSegments; x ++ ) {\n\n\t\t\t\t\tconst u = x / radialSegments;\n\n\t\t\t\t\tconst theta = u * thetaLength + thetaStart;\n\n\t\t\t\t\tconst sinTheta = Math.sin( theta );\n\t\t\t\t\tconst cosTheta = Math.cos( theta );\n\n\t\t\t\t\t// vertex\n\n\t\t\t\t\tvertex.x = radius * sinTheta;\n\t\t\t\t\tvertex.y = - v * height + halfHeight;\n\t\t\t\t\tvertex.z = radius * cosTheta;\n\t\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t\t// normal\n\n\t\t\t\t\tnormal.set( sinTheta, slope, cosTheta ).normalize();\n\t\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t\t// uv\n\n\t\t\t\t\tuvs.push( u, 1 - v );\n\n\t\t\t\t\t// save index of vertex in respective row\n\n\t\t\t\t\tindexRow.push( index ++ );\n\n\t\t\t\t}\n\n\t\t\t\t// now save vertices of the row in our index array\n\n\t\t\t\tindexArray.push( indexRow );\n\n\t\t\t}\n\n\t\t\t// generate indices\n\n\t\t\tfor ( let x = 0; x < radialSegments; x ++ ) {\n\n\t\t\t\tfor ( let y = 0; y < heightSegments; y ++ ) {\n\n\t\t\t\t\t// we use the index array to access the correct indices\n\n\t\t\t\t\tconst a = indexArray[ y ][ x ];\n\t\t\t\t\tconst b = indexArray[ y + 1 ][ x ];\n\t\t\t\t\tconst c = indexArray[ y + 1 ][ x + 1 ];\n\t\t\t\t\tconst d = indexArray[ y ][ x + 1 ];\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t\t// update group counter\n\n\t\t\t\t\tgroupCount += 6;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, 0 );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t}\n\n\t\tfunction generateCap( top ) {\n\n\t\t\t// save the index of the first center vertex\n\t\t\tconst centerIndexStart = index;\n\n\t\t\tconst uv = new Vector2();\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tlet groupCount = 0;\n\n\t\t\tconst radius = ( top === true ) ? radiusTop : radiusBottom;\n\t\t\tconst sign = ( top === true ) ? 1 : - 1;\n\n\t\t\t// first we generate the center vertex data of the cap.\n\t\t\t// because the geometry needs one set of uvs per face,\n\t\t\t// we must generate a center vertex per face/segment\n\n\t\t\tfor ( let x = 1; x <= radialSegments; x ++ ) {\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertices.push( 0, halfHeight * sign, 0 );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, sign, 0 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( 0.5, 0.5 );\n\n\t\t\t\t// increase index\n\n\t\t\t\tindex ++;\n\n\t\t\t}\n\n\t\t\t// save the index of the last center vertex\n\t\t\tconst centerIndexEnd = index;\n\n\t\t\t// now we generate the surrounding vertices, normals and uvs\n\n\t\t\tfor ( let x = 0; x <= radialSegments; x ++ ) {\n\n\t\t\t\tconst u = x / radialSegments;\n\t\t\t\tconst theta = u * thetaLength + thetaStart;\n\n\t\t\t\tconst cosTheta = Math.cos( theta );\n\t\t\t\tconst sinTheta = Math.sin( theta );\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = radius * sinTheta;\n\t\t\t\tvertex.y = halfHeight * sign;\n\t\t\t\tvertex.z = radius * cosTheta;\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, sign, 0 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = ( cosTheta * 0.5 ) + 0.5;\n\t\t\t\tuv.y = ( sinTheta * 0.5 * sign ) + 0.5;\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t// increase index\n\n\t\t\t\tindex ++;\n\n\t\t\t}\n\n\t\t\t// generate indices\n\n\t\t\tfor ( let x = 0; x < radialSegments; x ++ ) {\n\n\t\t\t\tconst c = centerIndexStart + x;\n\t\t\t\tconst i = centerIndexEnd + x;\n\n\t\t\t\tif ( top === true ) {\n\n\t\t\t\t\t// face top\n\n\t\t\t\t\tindices.push( i, i + 1, c );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// face bottom\n\n\t\t\t\t\tindices.push( i + 1, i, c );\n\n\t\t\t\t}\n\n\t\t\t\tgroupCount += 3;\n\n\t\t\t}\n\n\t\t\t// add a group to the geometry. this will ensure multi material support\n\n\t\t\tscope.addGroup( groupStart, groupCount, top === true ? 1 : 2 );\n\n\t\t\t// calculate new start value for groups\n\n\t\t\tgroupStart += groupCount;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new CylinderGeometry( data.radiusTop, data.radiusBottom, data.height, data.radialSegments, data.heightSegments, data.openEnded, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass ConeGeometry extends CylinderGeometry {\n\n\tconstructor( radius = 1, height = 1, radialSegments = 32, heightSegments = 1, openEnded = false, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper( 0, radius, height, radialSegments, heightSegments, openEnded, thetaStart, thetaLength );\n\n\t\tthis.type = 'ConeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\theight: height,\n\t\t\tradialSegments: radialSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\topenEnded: openEnded,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new ConeGeometry( data.radius, data.height, data.radialSegments, data.heightSegments, data.openEnded, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass PolyhedronGeometry extends BufferGeometry {\n\n\tconstructor( vertices = [], indices = [], radius = 1, detail = 0 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'PolyhedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tvertices: vertices,\n\t\t\tindices: indices,\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t\t// default buffer data\n\n\t\tconst vertexBuffer = [];\n\t\tconst uvBuffer = [];\n\n\t\t// the subdivision creates the vertex buffer data\n\n\t\tsubdivide( detail );\n\n\t\t// all vertices should lie on a conceptual sphere with a given radius\n\n\t\tapplyRadius( radius );\n\n\t\t// finally, create the uv data\n\n\t\tgenerateUVs();\n\n\t\t// build non-indexed geometry\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertexBuffer, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( vertexBuffer.slice(), 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvBuffer, 2 ) );\n\n\t\tif ( detail === 0 ) {\n\n\t\t\tthis.computeVertexNormals(); // flat normals\n\n\t\t} else {\n\n\t\t\tthis.normalizeNormals(); // smooth normals\n\n\t\t}\n\n\t\t// helper functions\n\n\t\tfunction subdivide( detail ) {\n\n\t\t\tconst a = new Vector3();\n\t\t\tconst b = new Vector3();\n\t\t\tconst c = new Vector3();\n\n\t\t\t// iterate over all faces and apply a subdivision with the given detail value\n\n\t\t\tfor ( let i = 0; i < indices.length; i += 3 ) {\n\n\t\t\t\t// get the vertices of the face\n\n\t\t\t\tgetVertexByIndex( indices[ i + 0 ], a );\n\t\t\t\tgetVertexByIndex( indices[ i + 1 ], b );\n\t\t\t\tgetVertexByIndex( indices[ i + 2 ], c );\n\n\t\t\t\t// perform subdivision\n\n\t\t\t\tsubdivideFace( a, b, c, detail );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction subdivideFace( a, b, c, detail ) {\n\n\t\t\tconst cols = detail + 1;\n\n\t\t\t// we use this multidimensional array as a data structure for creating the subdivision\n\n\t\t\tconst v = [];\n\n\t\t\t// construct all of the vertices for this subdivision\n\n\t\t\tfor ( let i = 0; i <= cols; i ++ ) {\n\n\t\t\t\tv[ i ] = [];\n\n\t\t\t\tconst aj = a.clone().lerp( c, i / cols );\n\t\t\t\tconst bj = b.clone().lerp( c, i / cols );\n\n\t\t\t\tconst rows = cols - i;\n\n\t\t\t\tfor ( let j = 0; j <= rows; j ++ ) {\n\n\t\t\t\t\tif ( j === 0 && i === cols ) {\n\n\t\t\t\t\t\tv[ i ][ j ] = aj;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tv[ i ][ j ] = aj.clone().lerp( bj, j / rows );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// construct all of the faces\n\n\t\t\tfor ( let i = 0; i < cols; i ++ ) {\n\n\t\t\t\tfor ( let j = 0; j < 2 * ( cols - i ) - 1; j ++ ) {\n\n\t\t\t\t\tconst k = Math.floor( j / 2 );\n\n\t\t\t\t\tif ( j % 2 === 0 ) {\n\n\t\t\t\t\t\tpushVertex( v[ i ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k ] );\n\t\t\t\t\t\tpushVertex( v[ i ][ k ] );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpushVertex( v[ i ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k + 1 ] );\n\t\t\t\t\t\tpushVertex( v[ i + 1 ][ k ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction applyRadius( radius ) {\n\n\t\t\tconst vertex = new Vector3();\n\n\t\t\t// iterate over the entire buffer and apply the radius to each vertex\n\n\t\t\tfor ( let i = 0; i < vertexBuffer.length; i += 3 ) {\n\n\t\t\t\tvertex.x = vertexBuffer[ i + 0 ];\n\t\t\t\tvertex.y = vertexBuffer[ i + 1 ];\n\t\t\t\tvertex.z = vertexBuffer[ i + 2 ];\n\n\t\t\t\tvertex.normalize().multiplyScalar( radius );\n\n\t\t\t\tvertexBuffer[ i + 0 ] = vertex.x;\n\t\t\t\tvertexBuffer[ i + 1 ] = vertex.y;\n\t\t\t\tvertexBuffer[ i + 2 ] = vertex.z;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateUVs() {\n\n\t\t\tconst vertex = new Vector3();\n\n\t\t\tfor ( let i = 0; i < vertexBuffer.length; i += 3 ) {\n\n\t\t\t\tvertex.x = vertexBuffer[ i + 0 ];\n\t\t\t\tvertex.y = vertexBuffer[ i + 1 ];\n\t\t\t\tvertex.z = vertexBuffer[ i + 2 ];\n\n\t\t\t\tconst u = azimuth( vertex ) / 2 / Math.PI + 0.5;\n\t\t\t\tconst v = inclination( vertex ) / Math.PI + 0.5;\n\t\t\t\tuvBuffer.push( u, 1 - v );\n\n\t\t\t}\n\n\t\t\tcorrectUVs();\n\n\t\t\tcorrectSeam();\n\n\t\t}\n\n\t\tfunction correctSeam() {\n\n\t\t\t// handle case when face straddles the seam, see #3269\n\n\t\t\tfor ( let i = 0; i < uvBuffer.length; i += 6 ) {\n\n\t\t\t\t// uv data of a single face\n\n\t\t\t\tconst x0 = uvBuffer[ i + 0 ];\n\t\t\t\tconst x1 = uvBuffer[ i + 2 ];\n\t\t\t\tconst x2 = uvBuffer[ i + 4 ];\n\n\t\t\t\tconst max = Math.max( x0, x1, x2 );\n\t\t\t\tconst min = Math.min( x0, x1, x2 );\n\n\t\t\t\t// 0.9 is somewhat arbitrary\n\n\t\t\t\tif ( max > 0.9 && min < 0.1 ) {\n\n\t\t\t\t\tif ( x0 < 0.2 ) uvBuffer[ i + 0 ] += 1;\n\t\t\t\t\tif ( x1 < 0.2 ) uvBuffer[ i + 2 ] += 1;\n\t\t\t\t\tif ( x2 < 0.2 ) uvBuffer[ i + 4 ] += 1;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction pushVertex( vertex ) {\n\n\t\t\tvertexBuffer.push( vertex.x, vertex.y, vertex.z );\n\n\t\t}\n\n\t\tfunction getVertexByIndex( index, vertex ) {\n\n\t\t\tconst stride = index * 3;\n\n\t\t\tvertex.x = vertices[ stride + 0 ];\n\t\t\tvertex.y = vertices[ stride + 1 ];\n\t\t\tvertex.z = vertices[ stride + 2 ];\n\n\t\t}\n\n\t\tfunction correctUVs() {\n\n\t\t\tconst a = new Vector3();\n\t\t\tconst b = new Vector3();\n\t\t\tconst c = new Vector3();\n\n\t\t\tconst centroid = new Vector3();\n\n\t\t\tconst uvA = new Vector2();\n\t\t\tconst uvB = new Vector2();\n\t\t\tconst uvC = new Vector2();\n\n\t\t\tfor ( let i = 0, j = 0; i < vertexBuffer.length; i += 9, j += 6 ) {\n\n\t\t\t\ta.set( vertexBuffer[ i + 0 ], vertexBuffer[ i + 1 ], vertexBuffer[ i + 2 ] );\n\t\t\t\tb.set( vertexBuffer[ i + 3 ], vertexBuffer[ i + 4 ], vertexBuffer[ i + 5 ] );\n\t\t\t\tc.set( vertexBuffer[ i + 6 ], vertexBuffer[ i + 7 ], vertexBuffer[ i + 8 ] );\n\n\t\t\t\tuvA.set( uvBuffer[ j + 0 ], uvBuffer[ j + 1 ] );\n\t\t\t\tuvB.set( uvBuffer[ j + 2 ], uvBuffer[ j + 3 ] );\n\t\t\t\tuvC.set( uvBuffer[ j + 4 ], uvBuffer[ j + 5 ] );\n\n\t\t\t\tcentroid.copy( a ).add( b ).add( c ).divideScalar( 3 );\n\n\t\t\t\tconst azi = azimuth( centroid );\n\n\t\t\t\tcorrectUV( uvA, j + 0, a, azi );\n\t\t\t\tcorrectUV( uvB, j + 2, b, azi );\n\t\t\t\tcorrectUV( uvC, j + 4, c, azi );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction correctUV( uv, stride, vector, azimuth ) {\n\n\t\t\tif ( ( azimuth < 0 ) && ( uv.x === 1 ) ) {\n\n\t\t\t\tuvBuffer[ stride ] = uv.x - 1;\n\n\t\t\t}\n\n\t\t\tif ( ( vector.x === 0 ) && ( vector.z === 0 ) ) {\n\n\t\t\t\tuvBuffer[ stride ] = azimuth / 2 / Math.PI + 0.5;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Angle around the Y axis, counter-clockwise when looking from above.\n\n\t\tfunction azimuth( vector ) {\n\n\t\t\treturn Math.atan2( vector.z, - vector.x );\n\n\t\t}\n\n\n\t\t// Angle above the XZ plane.\n\n\t\tfunction inclination( vector ) {\n\n\t\t\treturn Math.atan2( - vector.y, Math.sqrt( ( vector.x * vector.x ) + ( vector.z * vector.z ) ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new PolyhedronGeometry( data.vertices, data.indices, data.radius, data.details );\n\n\t}\n\n}\n\nclass DodecahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst t = ( 1 + Math.sqrt( 5 ) ) / 2;\n\t\tconst r = 1 / t;\n\n\t\tconst vertices = [\n\n\t\t\t// (±1, ±1, ±1)\n\t\t\t- 1, - 1, - 1,\t- 1, - 1, 1,\n\t\t\t- 1, 1, - 1, - 1, 1, 1,\n\t\t\t1, - 1, - 1, 1, - 1, 1,\n\t\t\t1, 1, - 1, 1, 1, 1,\n\n\t\t\t// (0, ±1/φ, ±φ)\n\t\t\t0, - r, - t, 0, - r, t,\n\t\t\t0, r, - t, 0, r, t,\n\n\t\t\t// (±1/φ, ±φ, 0)\n\t\t\t- r, - t, 0, - r, t, 0,\n\t\t\tr, - t, 0, r, t, 0,\n\n\t\t\t// (±φ, 0, ±1/φ)\n\t\t\t- t, 0, - r, t, 0, - r,\n\t\t\t- t, 0, r, t, 0, r\n\t\t];\n\n\t\tconst indices = [\n\t\t\t3, 11, 7, \t3, 7, 15, \t3, 15, 13,\n\t\t\t7, 19, 17, \t7, 17, 6, \t7, 6, 15,\n\t\t\t17, 4, 8, \t17, 8, 10, \t17, 10, 6,\n\t\t\t8, 0, 16, \t8, 16, 2, \t8, 2, 10,\n\t\t\t0, 12, 1, \t0, 1, 18, \t0, 18, 16,\n\t\t\t6, 10, 2, \t6, 2, 13, \t6, 13, 15,\n\t\t\t2, 16, 18, \t2, 18, 3, \t2, 3, 13,\n\t\t\t18, 1, 9, \t18, 9, 11, \t18, 11, 3,\n\t\t\t4, 14, 12, \t4, 12, 0, \t4, 0, 8,\n\t\t\t11, 9, 5, \t11, 5, 19, \t11, 19, 7,\n\t\t\t19, 5, 14, \t19, 14, 4, \t19, 4, 17,\n\t\t\t1, 12, 14, \t1, 14, 5, \t1, 5, 9\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'DodecahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new DodecahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nconst _v0 = /*@__PURE__*/ new Vector3();\nconst _v1$1 = /*@__PURE__*/ new Vector3();\nconst _normal = /*@__PURE__*/ new Vector3();\nconst _triangle = /*@__PURE__*/ new Triangle();\n\nclass EdgesGeometry extends BufferGeometry {\n\n\tconstructor( geometry = null, thresholdAngle = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'EdgesGeometry';\n\n\t\tthis.parameters = {\n\t\t\tgeometry: geometry,\n\t\t\tthresholdAngle: thresholdAngle\n\t\t};\n\n\t\tif ( geometry !== null ) {\n\n\t\t\tconst precisionPoints = 4;\n\t\t\tconst precision = Math.pow( 10, precisionPoints );\n\t\t\tconst thresholdDot = Math.cos( DEG2RAD * thresholdAngle );\n\n\t\t\tconst indexAttr = geometry.getIndex();\n\t\t\tconst positionAttr = geometry.getAttribute( 'position' );\n\t\t\tconst indexCount = indexAttr ? indexAttr.count : positionAttr.count;\n\n\t\t\tconst indexArr = [ 0, 0, 0 ];\n\t\t\tconst vertKeys = [ 'a', 'b', 'c' ];\n\t\t\tconst hashes = new Array( 3 );\n\n\t\t\tconst edgeData = {};\n\t\t\tconst vertices = [];\n\t\t\tfor ( let i = 0; i < indexCount; i += 3 ) {\n\n\t\t\t\tif ( indexAttr ) {\n\n\t\t\t\t\tindexArr[ 0 ] = indexAttr.getX( i );\n\t\t\t\t\tindexArr[ 1 ] = indexAttr.getX( i + 1 );\n\t\t\t\t\tindexArr[ 2 ] = indexAttr.getX( i + 2 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tindexArr[ 0 ] = i;\n\t\t\t\t\tindexArr[ 1 ] = i + 1;\n\t\t\t\t\tindexArr[ 2 ] = i + 2;\n\n\t\t\t\t}\n\n\t\t\t\tconst { a, b, c } = _triangle;\n\t\t\t\ta.fromBufferAttribute( positionAttr, indexArr[ 0 ] );\n\t\t\t\tb.fromBufferAttribute( positionAttr, indexArr[ 1 ] );\n\t\t\t\tc.fromBufferAttribute( positionAttr, indexArr[ 2 ] );\n\t\t\t\t_triangle.getNormal( _normal );\n\n\t\t\t\t// create hashes for the edge from the vertices\n\t\t\t\thashes[ 0 ] = `${ Math.round( a.x * precision ) },${ Math.round( a.y * precision ) },${ Math.round( a.z * precision ) }`;\n\t\t\t\thashes[ 1 ] = `${ Math.round( b.x * precision ) },${ Math.round( b.y * precision ) },${ Math.round( b.z * precision ) }`;\n\t\t\t\thashes[ 2 ] = `${ Math.round( c.x * precision ) },${ Math.round( c.y * precision ) },${ Math.round( c.z * precision ) }`;\n\n\t\t\t\t// skip degenerate triangles\n\t\t\t\tif ( hashes[ 0 ] === hashes[ 1 ] || hashes[ 1 ] === hashes[ 2 ] || hashes[ 2 ] === hashes[ 0 ] ) {\n\n\t\t\t\t\tcontinue;\n\n\t\t\t\t}\n\n\t\t\t\t// iterate over every edge\n\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t// get the first and next vertex making up the edge\n\t\t\t\t\tconst jNext = ( j + 1 ) % 3;\n\t\t\t\t\tconst vecHash0 = hashes[ j ];\n\t\t\t\t\tconst vecHash1 = hashes[ jNext ];\n\t\t\t\t\tconst v0 = _triangle[ vertKeys[ j ] ];\n\t\t\t\t\tconst v1 = _triangle[ vertKeys[ jNext ] ];\n\n\t\t\t\t\tconst hash = `${ vecHash0 }_${ vecHash1 }`;\n\t\t\t\t\tconst reverseHash = `${ vecHash1 }_${ vecHash0 }`;\n\n\t\t\t\t\tif ( reverseHash in edgeData && edgeData[ reverseHash ] ) {\n\n\t\t\t\t\t\t// if we found a sibling edge add it into the vertex array if\n\t\t\t\t\t\t// it meets the angle threshold and delete the edge from the map.\n\t\t\t\t\t\tif ( _normal.dot( edgeData[ reverseHash ].normal ) <= thresholdDot ) {\n\n\t\t\t\t\t\t\tvertices.push( v0.x, v0.y, v0.z );\n\t\t\t\t\t\t\tvertices.push( v1.x, v1.y, v1.z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tedgeData[ reverseHash ] = null;\n\n\t\t\t\t\t} else if ( ! ( hash in edgeData ) ) {\n\n\t\t\t\t\t\t// if we've already got an edge here then skip adding a new one\n\t\t\t\t\t\tedgeData[ hash ] = {\n\n\t\t\t\t\t\t\tindex0: indexArr[ j ],\n\t\t\t\t\t\t\tindex1: indexArr[ jNext ],\n\t\t\t\t\t\t\tnormal: _normal.clone(),\n\n\t\t\t\t\t\t};\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// iterate over all remaining, unmatched edges and add them to the vertex array\n\t\t\tfor ( const key in edgeData ) {\n\n\t\t\t\tif ( edgeData[ key ] ) {\n\n\t\t\t\t\tconst { index0, index1 } = edgeData[ key ];\n\t\t\t\t\t_v0.fromBufferAttribute( positionAttr, index0 );\n\t\t\t\t\t_v1$1.fromBufferAttribute( positionAttr, index1 );\n\n\t\t\t\t\tvertices.push( _v0.x, _v0.y, _v0.z );\n\t\t\t\t\tvertices.push( _v1$1.x, _v1$1.y, _v1$1.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Shape extends Path {\n\n\tconstructor( points ) {\n\n\t\tsuper( points );\n\n\t\tthis.uuid = generateUUID();\n\n\t\tthis.type = 'Shape';\n\n\t\tthis.holes = [];\n\n\t}\n\n\tgetPointsHoles( divisions ) {\n\n\t\tconst holesPts = [];\n\n\t\tfor ( let i = 0, l = this.holes.length; i < l; i ++ ) {\n\n\t\t\tholesPts[ i ] = this.holes[ i ].getPoints( divisions );\n\n\t\t}\n\n\t\treturn holesPts;\n\n\t}\n\n\t// get points of shape and holes (keypoints based on segments parameter)\n\n\textractPoints( divisions ) {\n\n\t\treturn {\n\n\t\t\tshape: this.getPoints( divisions ),\n\t\t\tholes: this.getPointsHoles( divisions )\n\n\t\t};\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.holes = [];\n\n\t\tfor ( let i = 0, l = source.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = source.holes[ i ];\n\n\t\t\tthis.holes.push( hole.clone() );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.uuid = this.uuid;\n\t\tdata.holes = [];\n\n\t\tfor ( let i = 0, l = this.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = this.holes[ i ];\n\t\t\tdata.holes.push( hole.toJSON() );\n\n\t\t}\n\n\t\treturn data;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tsuper.fromJSON( json );\n\n\t\tthis.uuid = json.uuid;\n\t\tthis.holes = [];\n\n\t\tfor ( let i = 0, l = json.holes.length; i < l; i ++ ) {\n\n\t\t\tconst hole = json.holes[ i ];\n\t\t\tthis.holes.push( new Path().fromJSON( hole ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n}\n\n/**\n * Port from https://github.com/mapbox/earcut (v2.2.4)\n */\n\nconst Earcut = {\n\n\ttriangulate: function ( data, holeIndices, dim = 2 ) {\n\n\t\tconst hasHoles = holeIndices && holeIndices.length;\n\t\tconst outerLen = hasHoles ? holeIndices[ 0 ] * dim : data.length;\n\t\tlet outerNode = linkedList( data, 0, outerLen, dim, true );\n\t\tconst triangles = [];\n\n\t\tif ( ! outerNode || outerNode.next === outerNode.prev ) return triangles;\n\n\t\tlet minX, minY, maxX, maxY, x, y, invSize;\n\n\t\tif ( hasHoles ) outerNode = eliminateHoles( data, holeIndices, outerNode, dim );\n\n\t\t// if the shape is not too simple, we'll use z-order curve hash later; calculate polygon bbox\n\t\tif ( data.length > 80 * dim ) {\n\n\t\t\tminX = maxX = data[ 0 ];\n\t\t\tminY = maxY = data[ 1 ];\n\n\t\t\tfor ( let i = dim; i < outerLen; i += dim ) {\n\n\t\t\t\tx = data[ i ];\n\t\t\t\ty = data[ i + 1 ];\n\t\t\t\tif ( x < minX ) minX = x;\n\t\t\t\tif ( y < minY ) minY = y;\n\t\t\t\tif ( x > maxX ) maxX = x;\n\t\t\t\tif ( y > maxY ) maxY = y;\n\n\t\t\t}\n\n\t\t\t// minX, minY and invSize are later used to transform coords into integers for z-order calculation\n\t\t\tinvSize = Math.max( maxX - minX, maxY - minY );\n\t\t\tinvSize = invSize !== 0 ? 32767 / invSize : 0;\n\n\t\t}\n\n\t\tearcutLinked( outerNode, triangles, dim, minX, minY, invSize, 0 );\n\n\t\treturn triangles;\n\n\t}\n\n};\n\n// create a circular doubly linked list from polygon points in the specified winding order\nfunction linkedList( data, start, end, dim, clockwise ) {\n\n\tlet i, last;\n\n\tif ( clockwise === ( signedArea( data, start, end, dim ) > 0 ) ) {\n\n\t\tfor ( i = start; i < end; i += dim ) last = insertNode( i, data[ i ], data[ i + 1 ], last );\n\n\t} else {\n\n\t\tfor ( i = end - dim; i >= start; i -= dim ) last = insertNode( i, data[ i ], data[ i + 1 ], last );\n\n\t}\n\n\tif ( last && equals( last, last.next ) ) {\n\n\t\tremoveNode( last );\n\t\tlast = last.next;\n\n\t}\n\n\treturn last;\n\n}\n\n// eliminate colinear or duplicate points\nfunction filterPoints( start, end ) {\n\n\tif ( ! start ) return start;\n\tif ( ! end ) end = start;\n\n\tlet p = start,\n\t\tagain;\n\tdo {\n\n\t\tagain = false;\n\n\t\tif ( ! p.steiner && ( equals( p, p.next ) || area( p.prev, p, p.next ) === 0 ) ) {\n\n\t\t\tremoveNode( p );\n\t\t\tp = end = p.prev;\n\t\t\tif ( p === p.next ) break;\n\t\t\tagain = true;\n\n\t\t} else {\n\n\t\t\tp = p.next;\n\n\t\t}\n\n\t} while ( again || p !== end );\n\n\treturn end;\n\n}\n\n// main ear slicing loop which triangulates a polygon (given as a linked list)\nfunction earcutLinked( ear, triangles, dim, minX, minY, invSize, pass ) {\n\n\tif ( ! ear ) return;\n\n\t// interlink polygon nodes in z-order\n\tif ( ! pass && invSize ) indexCurve( ear, minX, minY, invSize );\n\n\tlet stop = ear,\n\t\tprev, next;\n\n\t// iterate through ears, slicing them one by one\n\twhile ( ear.prev !== ear.next ) {\n\n\t\tprev = ear.prev;\n\t\tnext = ear.next;\n\n\t\tif ( invSize ? isEarHashed( ear, minX, minY, invSize ) : isEar( ear ) ) {\n\n\t\t\t// cut off the triangle\n\t\t\ttriangles.push( prev.i / dim | 0 );\n\t\t\ttriangles.push( ear.i / dim | 0 );\n\t\t\ttriangles.push( next.i / dim | 0 );\n\n\t\t\tremoveNode( ear );\n\n\t\t\t// skipping the next vertex leads to less sliver triangles\n\t\t\tear = next.next;\n\t\t\tstop = next.next;\n\n\t\t\tcontinue;\n\n\t\t}\n\n\t\tear = next;\n\n\t\t// if we looped through the whole remaining polygon and can't find any more ears\n\t\tif ( ear === stop ) {\n\n\t\t\t// try filtering points and slicing again\n\t\t\tif ( ! pass ) {\n\n\t\t\t\tearcutLinked( filterPoints( ear ), triangles, dim, minX, minY, invSize, 1 );\n\n\t\t\t\t// if this didn't work, try curing all small self-intersections locally\n\n\t\t\t} else if ( pass === 1 ) {\n\n\t\t\t\tear = cureLocalIntersections( filterPoints( ear ), triangles, dim );\n\t\t\t\tearcutLinked( ear, triangles, dim, minX, minY, invSize, 2 );\n\n\t\t\t\t// as a last resort, try splitting the remaining polygon into two\n\n\t\t\t} else if ( pass === 2 ) {\n\n\t\t\t\tsplitEarcut( ear, triangles, dim, minX, minY, invSize );\n\n\t\t\t}\n\n\t\t\tbreak;\n\n\t\t}\n\n\t}\n\n}\n\n// check whether a polygon node forms a valid ear with adjacent nodes\nfunction isEar( ear ) {\n\n\tconst a = ear.prev,\n\t\tb = ear,\n\t\tc = ear.next;\n\n\tif ( area( a, b, c ) >= 0 ) return false; // reflex, can't be an ear\n\n\t// now make sure we don't have other points inside the potential ear\n\tconst ax = a.x, bx = b.x, cx = c.x, ay = a.y, by = b.y, cy = c.y;\n\n\t// triangle bbox; min & max are calculated like this for speed\n\tconst x0 = ax < bx ? ( ax < cx ? ax : cx ) : ( bx < cx ? bx : cx ),\n\t\ty0 = ay < by ? ( ay < cy ? ay : cy ) : ( by < cy ? by : cy ),\n\t\tx1 = ax > bx ? ( ax > cx ? ax : cx ) : ( bx > cx ? bx : cx ),\n\t\ty1 = ay > by ? ( ay > cy ? ay : cy ) : ( by > cy ? by : cy );\n\n\tlet p = c.next;\n\twhile ( p !== a ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) &&\n\t\t\tarea( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.next;\n\n\t}\n\n\treturn true;\n\n}\n\nfunction isEarHashed( ear, minX, minY, invSize ) {\n\n\tconst a = ear.prev,\n\t\tb = ear,\n\t\tc = ear.next;\n\n\tif ( area( a, b, c ) >= 0 ) return false; // reflex, can't be an ear\n\n\tconst ax = a.x, bx = b.x, cx = c.x, ay = a.y, by = b.y, cy = c.y;\n\n\t// triangle bbox; min & max are calculated like this for speed\n\tconst x0 = ax < bx ? ( ax < cx ? ax : cx ) : ( bx < cx ? bx : cx ),\n\t\ty0 = ay < by ? ( ay < cy ? ay : cy ) : ( by < cy ? by : cy ),\n\t\tx1 = ax > bx ? ( ax > cx ? ax : cx ) : ( bx > cx ? bx : cx ),\n\t\ty1 = ay > by ? ( ay > cy ? ay : cy ) : ( by > cy ? by : cy );\n\n\t// z-order range for the current triangle bbox;\n\tconst minZ = zOrder( x0, y0, minX, minY, invSize ),\n\t\tmaxZ = zOrder( x1, y1, minX, minY, invSize );\n\n\tlet p = ear.prevZ,\n\t\tn = ear.nextZ;\n\n\t// look for points inside the triangle in both directions\n\twhile ( p && p.z >= minZ && n && n.z <= maxZ ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 && p !== a && p !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) && area( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.prevZ;\n\n\t\tif ( n.x >= x0 && n.x <= x1 && n.y >= y0 && n.y <= y1 && n !== a && n !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, n.x, n.y ) && area( n.prev, n, n.next ) >= 0 ) return false;\n\t\tn = n.nextZ;\n\n\t}\n\n\t// look for remaining points in decreasing z-order\n\twhile ( p && p.z >= minZ ) {\n\n\t\tif ( p.x >= x0 && p.x <= x1 && p.y >= y0 && p.y <= y1 && p !== a && p !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, p.x, p.y ) && area( p.prev, p, p.next ) >= 0 ) return false;\n\t\tp = p.prevZ;\n\n\t}\n\n\t// look for remaining points in increasing z-order\n\twhile ( n && n.z <= maxZ ) {\n\n\t\tif ( n.x >= x0 && n.x <= x1 && n.y >= y0 && n.y <= y1 && n !== a && n !== c &&\n\t\t\tpointInTriangle( ax, ay, bx, by, cx, cy, n.x, n.y ) && area( n.prev, n, n.next ) >= 0 ) return false;\n\t\tn = n.nextZ;\n\n\t}\n\n\treturn true;\n\n}\n\n// go through all polygon nodes and cure small local self-intersections\nfunction cureLocalIntersections( start, triangles, dim ) {\n\n\tlet p = start;\n\tdo {\n\n\t\tconst a = p.prev,\n\t\t\tb = p.next.next;\n\n\t\tif ( ! equals( a, b ) && intersects( a, p, p.next, b ) && locallyInside( a, b ) && locallyInside( b, a ) ) {\n\n\t\t\ttriangles.push( a.i / dim | 0 );\n\t\t\ttriangles.push( p.i / dim | 0 );\n\t\t\ttriangles.push( b.i / dim | 0 );\n\n\t\t\t// remove two nodes involved\n\t\t\tremoveNode( p );\n\t\t\tremoveNode( p.next );\n\n\t\t\tp = start = b;\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\treturn filterPoints( p );\n\n}\n\n// try splitting polygon into two and triangulate them independently\nfunction splitEarcut( start, triangles, dim, minX, minY, invSize ) {\n\n\t// look for a valid diagonal that divides the polygon into two\n\tlet a = start;\n\tdo {\n\n\t\tlet b = a.next.next;\n\t\twhile ( b !== a.prev ) {\n\n\t\t\tif ( a.i !== b.i && isValidDiagonal( a, b ) ) {\n\n\t\t\t\t// split the polygon in two by the diagonal\n\t\t\t\tlet c = splitPolygon( a, b );\n\n\t\t\t\t// filter colinear points around the cuts\n\t\t\t\ta = filterPoints( a, a.next );\n\t\t\t\tc = filterPoints( c, c.next );\n\n\t\t\t\t// run earcut on each half\n\t\t\t\tearcutLinked( a, triangles, dim, minX, minY, invSize, 0 );\n\t\t\t\tearcutLinked( c, triangles, dim, minX, minY, invSize, 0 );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tb = b.next;\n\n\t\t}\n\n\t\ta = a.next;\n\n\t} while ( a !== start );\n\n}\n\n// link every hole into the outer loop, producing a single-ring polygon without holes\nfunction eliminateHoles( data, holeIndices, outerNode, dim ) {\n\n\tconst queue = [];\n\tlet i, len, start, end, list;\n\n\tfor ( i = 0, len = holeIndices.length; i < len; i ++ ) {\n\n\t\tstart = holeIndices[ i ] * dim;\n\t\tend = i < len - 1 ? holeIndices[ i + 1 ] * dim : data.length;\n\t\tlist = linkedList( data, start, end, dim, false );\n\t\tif ( list === list.next ) list.steiner = true;\n\t\tqueue.push( getLeftmost( list ) );\n\n\t}\n\n\tqueue.sort( compareX );\n\n\t// process holes from left to right\n\tfor ( i = 0; i < queue.length; i ++ ) {\n\n\t\touterNode = eliminateHole( queue[ i ], outerNode );\n\n\t}\n\n\treturn outerNode;\n\n}\n\nfunction compareX( a, b ) {\n\n\treturn a.x - b.x;\n\n}\n\n// find a bridge between vertices that connects hole with an outer ring and link it\nfunction eliminateHole( hole, outerNode ) {\n\n\tconst bridge = findHoleBridge( hole, outerNode );\n\tif ( ! bridge ) {\n\n\t\treturn outerNode;\n\n\t}\n\n\tconst bridgeReverse = splitPolygon( bridge, hole );\n\n\t// filter collinear points around the cuts\n\tfilterPoints( bridgeReverse, bridgeReverse.next );\n\treturn filterPoints( bridge, bridge.next );\n\n}\n\n// David Eberly's algorithm for finding a bridge between hole and outer polygon\nfunction findHoleBridge( hole, outerNode ) {\n\n\tlet p = outerNode,\n\t\tqx = - Infinity,\n\t\tm;\n\n\tconst hx = hole.x, hy = hole.y;\n\n\t// find a segment intersected by a ray from the hole's leftmost point to the left;\n\t// segment's endpoint with lesser x will be potential connection point\n\tdo {\n\n\t\tif ( hy <= p.y && hy >= p.next.y && p.next.y !== p.y ) {\n\n\t\t\tconst x = p.x + ( hy - p.y ) * ( p.next.x - p.x ) / ( p.next.y - p.y );\n\t\t\tif ( x <= hx && x > qx ) {\n\n\t\t\t\tqx = x;\n\t\t\t\tm = p.x < p.next.x ? p : p.next;\n\t\t\t\tif ( x === hx ) return m; // hole touches outer segment; pick leftmost endpoint\n\n\t\t\t}\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== outerNode );\n\n\tif ( ! m ) return null;\n\n\t// look for points inside the triangle of hole point, segment intersection and endpoint;\n\t// if there are no points found, we have a valid connection;\n\t// otherwise choose the point of the minimum angle with the ray as connection point\n\n\tconst stop = m,\n\t\tmx = m.x,\n\t\tmy = m.y;\n\tlet tanMin = Infinity, tan;\n\n\tp = m;\n\n\tdo {\n\n\t\tif ( hx >= p.x && p.x >= mx && hx !== p.x &&\n\t\t\t\tpointInTriangle( hy < my ? hx : qx, hy, mx, my, hy < my ? qx : hx, hy, p.x, p.y ) ) {\n\n\t\t\ttan = Math.abs( hy - p.y ) / ( hx - p.x ); // tangential\n\n\t\t\tif ( locallyInside( p, hole ) && ( tan < tanMin || ( tan === tanMin && ( p.x > m.x || ( p.x === m.x && sectorContainsSector( m, p ) ) ) ) ) ) {\n\n\t\t\t\tm = p;\n\t\t\t\ttanMin = tan;\n\n\t\t\t}\n\n\t\t}\n\n\t\tp = p.next;\n\n\t} while ( p !== stop );\n\n\treturn m;\n\n}\n\n// whether sector in vertex m contains sector in vertex p in the same coordinates\nfunction sectorContainsSector( m, p ) {\n\n\treturn area( m.prev, m, p.prev ) < 0 && area( p.next, m, m.next ) < 0;\n\n}\n\n// interlink polygon nodes in z-order\nfunction indexCurve( start, minX, minY, invSize ) {\n\n\tlet p = start;\n\tdo {\n\n\t\tif ( p.z === 0 ) p.z = zOrder( p.x, p.y, minX, minY, invSize );\n\t\tp.prevZ = p.prev;\n\t\tp.nextZ = p.next;\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\tp.prevZ.nextZ = null;\n\tp.prevZ = null;\n\n\tsortLinked( p );\n\n}\n\n// Simon Tatham's linked list merge sort algorithm\n// http://www.chiark.greenend.org.uk/~sgtatham/algorithms/listsort.html\nfunction sortLinked( list ) {\n\n\tlet i, p, q, e, tail, numMerges, pSize, qSize,\n\t\tinSize = 1;\n\n\tdo {\n\n\t\tp = list;\n\t\tlist = null;\n\t\ttail = null;\n\t\tnumMerges = 0;\n\n\t\twhile ( p ) {\n\n\t\t\tnumMerges ++;\n\t\t\tq = p;\n\t\t\tpSize = 0;\n\t\t\tfor ( i = 0; i < inSize; i ++ ) {\n\n\t\t\t\tpSize ++;\n\t\t\t\tq = q.nextZ;\n\t\t\t\tif ( ! q ) break;\n\n\t\t\t}\n\n\t\t\tqSize = inSize;\n\n\t\t\twhile ( pSize > 0 || ( qSize > 0 && q ) ) {\n\n\t\t\t\tif ( pSize !== 0 && ( qSize === 0 || ! q || p.z <= q.z ) ) {\n\n\t\t\t\t\te = p;\n\t\t\t\t\tp = p.nextZ;\n\t\t\t\t\tpSize --;\n\n\t\t\t\t} else {\n\n\t\t\t\t\te = q;\n\t\t\t\t\tq = q.nextZ;\n\t\t\t\t\tqSize --;\n\n\t\t\t\t}\n\n\t\t\t\tif ( tail ) tail.nextZ = e;\n\t\t\t\telse list = e;\n\n\t\t\t\te.prevZ = tail;\n\t\t\t\ttail = e;\n\n\t\t\t}\n\n\t\t\tp = q;\n\n\t\t}\n\n\t\ttail.nextZ = null;\n\t\tinSize *= 2;\n\n\t} while ( numMerges > 1 );\n\n\treturn list;\n\n}\n\n// z-order of a point given coords and inverse of the longer side of data bbox\nfunction zOrder( x, y, minX, minY, invSize ) {\n\n\t// coords are transformed into non-negative 15-bit integer range\n\tx = ( x - minX ) * invSize | 0;\n\ty = ( y - minY ) * invSize | 0;\n\n\tx = ( x | ( x << 8 ) ) & 0x00FF00FF;\n\tx = ( x | ( x << 4 ) ) & 0x0F0F0F0F;\n\tx = ( x | ( x << 2 ) ) & 0x33333333;\n\tx = ( x | ( x << 1 ) ) & 0x55555555;\n\n\ty = ( y | ( y << 8 ) ) & 0x00FF00FF;\n\ty = ( y | ( y << 4 ) ) & 0x0F0F0F0F;\n\ty = ( y | ( y << 2 ) ) & 0x33333333;\n\ty = ( y | ( y << 1 ) ) & 0x55555555;\n\n\treturn x | ( y << 1 );\n\n}\n\n// find the leftmost node of a polygon ring\nfunction getLeftmost( start ) {\n\n\tlet p = start,\n\t\tleftmost = start;\n\tdo {\n\n\t\tif ( p.x < leftmost.x || ( p.x === leftmost.x && p.y < leftmost.y ) ) leftmost = p;\n\t\tp = p.next;\n\n\t} while ( p !== start );\n\n\treturn leftmost;\n\n}\n\n// check if a point lies within a convex triangle\nfunction pointInTriangle( ax, ay, bx, by, cx, cy, px, py ) {\n\n\treturn ( cx - px ) * ( ay - py ) >= ( ax - px ) * ( cy - py ) &&\n ( ax - px ) * ( by - py ) >= ( bx - px ) * ( ay - py ) &&\n ( bx - px ) * ( cy - py ) >= ( cx - px ) * ( by - py );\n\n}\n\n// check if a diagonal between two polygon nodes is valid (lies in polygon interior)\nfunction isValidDiagonal( a, b ) {\n\n\treturn a.next.i !== b.i && a.prev.i !== b.i && ! intersectsPolygon( a, b ) && // dones't intersect other edges\n ( locallyInside( a, b ) && locallyInside( b, a ) && middleInside( a, b ) && // locally visible\n ( area( a.prev, a, b.prev ) || area( a, b.prev, b ) ) || // does not create opposite-facing sectors\n equals( a, b ) && area( a.prev, a, a.next ) > 0 && area( b.prev, b, b.next ) > 0 ); // special zero-length case\n\n}\n\n// signed area of a triangle\nfunction area( p, q, r ) {\n\n\treturn ( q.y - p.y ) * ( r.x - q.x ) - ( q.x - p.x ) * ( r.y - q.y );\n\n}\n\n// check if two points are equal\nfunction equals( p1, p2 ) {\n\n\treturn p1.x === p2.x && p1.y === p2.y;\n\n}\n\n// check if two segments intersect\nfunction intersects( p1, q1, p2, q2 ) {\n\n\tconst o1 = sign( area( p1, q1, p2 ) );\n\tconst o2 = sign( area( p1, q1, q2 ) );\n\tconst o3 = sign( area( p2, q2, p1 ) );\n\tconst o4 = sign( area( p2, q2, q1 ) );\n\n\tif ( o1 !== o2 && o3 !== o4 ) return true; // general case\n\n\tif ( o1 === 0 && onSegment( p1, p2, q1 ) ) return true; // p1, q1 and p2 are collinear and p2 lies on p1q1\n\tif ( o2 === 0 && onSegment( p1, q2, q1 ) ) return true; // p1, q1 and q2 are collinear and q2 lies on p1q1\n\tif ( o3 === 0 && onSegment( p2, p1, q2 ) ) return true; // p2, q2 and p1 are collinear and p1 lies on p2q2\n\tif ( o4 === 0 && onSegment( p2, q1, q2 ) ) return true; // p2, q2 and q1 are collinear and q1 lies on p2q2\n\n\treturn false;\n\n}\n\n// for collinear points p, q, r, check if point q lies on segment pr\nfunction onSegment( p, q, r ) {\n\n\treturn q.x <= Math.max( p.x, r.x ) && q.x >= Math.min( p.x, r.x ) && q.y <= Math.max( p.y, r.y ) && q.y >= Math.min( p.y, r.y );\n\n}\n\nfunction sign( num ) {\n\n\treturn num > 0 ? 1 : num < 0 ? - 1 : 0;\n\n}\n\n// check if a polygon diagonal intersects any polygon segments\nfunction intersectsPolygon( a, b ) {\n\n\tlet p = a;\n\tdo {\n\n\t\tif ( p.i !== a.i && p.next.i !== a.i && p.i !== b.i && p.next.i !== b.i &&\n\t\t\tintersects( p, p.next, a, b ) ) return true;\n\t\tp = p.next;\n\n\t} while ( p !== a );\n\n\treturn false;\n\n}\n\n// check if a polygon diagonal is locally inside the polygon\nfunction locallyInside( a, b ) {\n\n\treturn area( a.prev, a, a.next ) < 0 ?\n\t\tarea( a, b, a.next ) >= 0 && area( a, a.prev, b ) >= 0 :\n\t\tarea( a, b, a.prev ) < 0 || area( a, a.next, b ) < 0;\n\n}\n\n// check if the middle point of a polygon diagonal is inside the polygon\nfunction middleInside( a, b ) {\n\n\tlet p = a,\n\t\tinside = false;\n\tconst px = ( a.x + b.x ) / 2,\n\t\tpy = ( a.y + b.y ) / 2;\n\tdo {\n\n\t\tif ( ( ( p.y > py ) !== ( p.next.y > py ) ) && p.next.y !== p.y &&\n\t\t\t( px < ( p.next.x - p.x ) * ( py - p.y ) / ( p.next.y - p.y ) + p.x ) )\n\t\t\tinside = ! inside;\n\t\tp = p.next;\n\n\t} while ( p !== a );\n\n\treturn inside;\n\n}\n\n// link two polygon vertices with a bridge; if the vertices belong to the same ring, it splits polygon into two;\n// if one belongs to the outer ring and another to a hole, it merges it into a single ring\nfunction splitPolygon( a, b ) {\n\n\tconst a2 = new Node( a.i, a.x, a.y ),\n\t\tb2 = new Node( b.i, b.x, b.y ),\n\t\tan = a.next,\n\t\tbp = b.prev;\n\n\ta.next = b;\n\tb.prev = a;\n\n\ta2.next = an;\n\tan.prev = a2;\n\n\tb2.next = a2;\n\ta2.prev = b2;\n\n\tbp.next = b2;\n\tb2.prev = bp;\n\n\treturn b2;\n\n}\n\n// create a node and optionally link it with previous one (in a circular doubly linked list)\nfunction insertNode( i, x, y, last ) {\n\n\tconst p = new Node( i, x, y );\n\n\tif ( ! last ) {\n\n\t\tp.prev = p;\n\t\tp.next = p;\n\n\t} else {\n\n\t\tp.next = last.next;\n\t\tp.prev = last;\n\t\tlast.next.prev = p;\n\t\tlast.next = p;\n\n\t}\n\n\treturn p;\n\n}\n\nfunction removeNode( p ) {\n\n\tp.next.prev = p.prev;\n\tp.prev.next = p.next;\n\n\tif ( p.prevZ ) p.prevZ.nextZ = p.nextZ;\n\tif ( p.nextZ ) p.nextZ.prevZ = p.prevZ;\n\n}\n\nfunction Node( i, x, y ) {\n\n\t// vertex index in coordinates array\n\tthis.i = i;\n\n\t// vertex coordinates\n\tthis.x = x;\n\tthis.y = y;\n\n\t// previous and next vertex nodes in a polygon ring\n\tthis.prev = null;\n\tthis.next = null;\n\n\t// z-order curve value\n\tthis.z = 0;\n\n\t// previous and next nodes in z-order\n\tthis.prevZ = null;\n\tthis.nextZ = null;\n\n\t// indicates whether this is a steiner point\n\tthis.steiner = false;\n\n}\n\nfunction signedArea( data, start, end, dim ) {\n\n\tlet sum = 0;\n\tfor ( let i = start, j = end - dim; i < end; i += dim ) {\n\n\t\tsum += ( data[ j ] - data[ i ] ) * ( data[ i + 1 ] + data[ j + 1 ] );\n\t\tj = i;\n\n\t}\n\n\treturn sum;\n\n}\n\nclass ShapeUtils {\n\n\t// calculate area of the contour polygon\n\n\tstatic area( contour ) {\n\n\t\tconst n = contour.length;\n\t\tlet a = 0.0;\n\n\t\tfor ( let p = n - 1, q = 0; q < n; p = q ++ ) {\n\n\t\t\ta += contour[ p ].x * contour[ q ].y - contour[ q ].x * contour[ p ].y;\n\n\t\t}\n\n\t\treturn a * 0.5;\n\n\t}\n\n\tstatic isClockWise( pts ) {\n\n\t\treturn ShapeUtils.area( pts ) < 0;\n\n\t}\n\n\tstatic triangulateShape( contour, holes ) {\n\n\t\tconst vertices = []; // flat array of vertices like [ x0,y0, x1,y1, x2,y2, ... ]\n\t\tconst holeIndices = []; // array of hole indices\n\t\tconst faces = []; // final array of vertex indices like [ [ a,b,d ], [ b,c,d ] ]\n\n\t\tremoveDupEndPts( contour );\n\t\taddContour( vertices, contour );\n\n\t\t//\n\n\t\tlet holeIndex = contour.length;\n\n\t\tholes.forEach( removeDupEndPts );\n\n\t\tfor ( let i = 0; i < holes.length; i ++ ) {\n\n\t\t\tholeIndices.push( holeIndex );\n\t\t\tholeIndex += holes[ i ].length;\n\t\t\taddContour( vertices, holes[ i ] );\n\n\t\t}\n\n\t\t//\n\n\t\tconst triangles = Earcut.triangulate( vertices, holeIndices );\n\n\t\t//\n\n\t\tfor ( let i = 0; i < triangles.length; i += 3 ) {\n\n\t\t\tfaces.push( triangles.slice( i, i + 3 ) );\n\n\t\t}\n\n\t\treturn faces;\n\n\t}\n\n}\n\nfunction removeDupEndPts( points ) {\n\n\tconst l = points.length;\n\n\tif ( l > 2 && points[ l - 1 ].equals( points[ 0 ] ) ) {\n\n\t\tpoints.pop();\n\n\t}\n\n}\n\nfunction addContour( vertices, contour ) {\n\n\tfor ( let i = 0; i < contour.length; i ++ ) {\n\n\t\tvertices.push( contour[ i ].x );\n\t\tvertices.push( contour[ i ].y );\n\n\t}\n\n}\n\n/**\n * Creates extruded geometry from a path shape.\n *\n * parameters = {\n *\n * curveSegments: , // number of points on the curves\n * steps: , // number of points for z-side extrusions / used for subdividing segments of extrude spline too\n * depth: , // Depth to extrude the shape\n *\n * bevelEnabled: , // turn on bevel\n * bevelThickness: , // how deep into the original shape bevel goes\n * bevelSize: , // how far from shape outline (including bevelOffset) is bevel\n * bevelOffset: , // how far from shape outline does bevel start\n * bevelSegments: , // number of bevel layers\n *\n * extrudePath: // curve to extrude shape along\n *\n * UVGenerator: // object that provides UV generator functions\n *\n * }\n */\n\n\nclass ExtrudeGeometry extends BufferGeometry {\n\n\tconstructor( shapes = new Shape( [ new Vector2( 0.5, 0.5 ), new Vector2( - 0.5, 0.5 ), new Vector2( - 0.5, - 0.5 ), new Vector2( 0.5, - 0.5 ) ] ), options = {} ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ExtrudeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tshapes: shapes,\n\t\t\toptions: options\n\t\t};\n\n\t\tshapes = Array.isArray( shapes ) ? shapes : [ shapes ];\n\n\t\tconst scope = this;\n\n\t\tconst verticesArray = [];\n\t\tconst uvArray = [];\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\t\t\taddShape( shape );\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( verticesArray, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvArray, 2 ) );\n\n\t\tthis.computeVertexNormals();\n\n\t\t// functions\n\n\t\tfunction addShape( shape ) {\n\n\t\t\tconst placeholder = [];\n\n\t\t\t// options\n\n\t\t\tconst curveSegments = options.curveSegments !== undefined ? options.curveSegments : 12;\n\t\t\tconst steps = options.steps !== undefined ? options.steps : 1;\n\t\t\tconst depth = options.depth !== undefined ? options.depth : 1;\n\n\t\t\tlet bevelEnabled = options.bevelEnabled !== undefined ? options.bevelEnabled : true;\n\t\t\tlet bevelThickness = options.bevelThickness !== undefined ? options.bevelThickness : 0.2;\n\t\t\tlet bevelSize = options.bevelSize !== undefined ? options.bevelSize : bevelThickness - 0.1;\n\t\t\tlet bevelOffset = options.bevelOffset !== undefined ? options.bevelOffset : 0;\n\t\t\tlet bevelSegments = options.bevelSegments !== undefined ? options.bevelSegments : 3;\n\n\t\t\tconst extrudePath = options.extrudePath;\n\n\t\t\tconst uvgen = options.UVGenerator !== undefined ? options.UVGenerator : WorldUVGenerator;\n\n\t\t\t//\n\n\t\t\tlet extrudePts, extrudeByPath = false;\n\t\t\tlet splineTube, binormal, normal, position2;\n\n\t\t\tif ( extrudePath ) {\n\n\t\t\t\textrudePts = extrudePath.getSpacedPoints( steps );\n\n\t\t\t\textrudeByPath = true;\n\t\t\t\tbevelEnabled = false; // bevels not supported for path extrusion\n\n\t\t\t\t// SETUP TNB variables\n\n\t\t\t\t// TODO1 - have a .isClosed in spline?\n\n\t\t\t\tsplineTube = extrudePath.computeFrenetFrames( steps, false );\n\n\t\t\t\t// console.log(splineTube, 'splineTube', splineTube.normals.length, 'steps', steps, 'extrudePts', extrudePts.length);\n\n\t\t\t\tbinormal = new Vector3();\n\t\t\t\tnormal = new Vector3();\n\t\t\t\tposition2 = new Vector3();\n\n\t\t\t}\n\n\t\t\t// Safeguards if bevels are not enabled\n\n\t\t\tif ( ! bevelEnabled ) {\n\n\t\t\t\tbevelSegments = 0;\n\t\t\t\tbevelThickness = 0;\n\t\t\t\tbevelSize = 0;\n\t\t\t\tbevelOffset = 0;\n\n\t\t\t}\n\n\t\t\t// Variables initialization\n\n\t\t\tconst shapePoints = shape.extractPoints( curveSegments );\n\n\t\t\tlet vertices = shapePoints.shape;\n\t\t\tconst holes = shapePoints.holes;\n\n\t\t\tconst reverse = ! ShapeUtils.isClockWise( vertices );\n\n\t\t\tif ( reverse ) {\n\n\t\t\t\tvertices = vertices.reverse();\n\n\t\t\t\t// Maybe we should also check if holes are in the opposite direction, just to be safe ...\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\t\tif ( ShapeUtils.isClockWise( ahole ) ) {\n\n\t\t\t\t\t\tholes[ h ] = ahole.reverse();\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\tconst faces = ShapeUtils.triangulateShape( vertices, holes );\n\n\t\t\t/* Vertices */\n\n\t\t\tconst contour = vertices; // vertices has all points but contour has only points of circumference\n\n\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\tvertices = vertices.concat( ahole );\n\n\t\t\t}\n\n\n\t\t\tfunction scalePt2( pt, vec, size ) {\n\n\t\t\t\tif ( ! vec ) console.error( 'THREE.ExtrudeGeometry: vec does not exist' );\n\n\t\t\t\treturn pt.clone().addScaledVector( vec, size );\n\n\t\t\t}\n\n\t\t\tconst vlen = vertices.length, flen = faces.length;\n\n\n\t\t\t// Find directions for point movement\n\n\n\t\t\tfunction getBevelVec( inPt, inPrev, inNext ) {\n\n\t\t\t\t// computes for inPt the corresponding point inPt' on a new contour\n\t\t\t\t// shifted by 1 unit (length of normalized vector) to the left\n\t\t\t\t// if we walk along contour clockwise, this new contour is outside the old one\n\t\t\t\t//\n\t\t\t\t// inPt' is the intersection of the two lines parallel to the two\n\t\t\t\t// adjacent edges of inPt at a distance of 1 unit on the left side.\n\n\t\t\t\tlet v_trans_x, v_trans_y, shrink_by; // resulting translation vector for inPt\n\n\t\t\t\t// good reading for geometry algorithms (here: line-line intersection)\n\t\t\t\t// http://geomalgorithms.com/a05-_intersect-1.html\n\n\t\t\t\tconst v_prev_x = inPt.x - inPrev.x,\n\t\t\t\t\tv_prev_y = inPt.y - inPrev.y;\n\t\t\t\tconst v_next_x = inNext.x - inPt.x,\n\t\t\t\t\tv_next_y = inNext.y - inPt.y;\n\n\t\t\t\tconst v_prev_lensq = ( v_prev_x * v_prev_x + v_prev_y * v_prev_y );\n\n\t\t\t\t// check for collinear edges\n\t\t\t\tconst collinear0 = ( v_prev_x * v_next_y - v_prev_y * v_next_x );\n\n\t\t\t\tif ( Math.abs( collinear0 ) > Number.EPSILON ) {\n\n\t\t\t\t\t// not collinear\n\n\t\t\t\t\t// length of vectors for normalizing\n\n\t\t\t\t\tconst v_prev_len = Math.sqrt( v_prev_lensq );\n\t\t\t\t\tconst v_next_len = Math.sqrt( v_next_x * v_next_x + v_next_y * v_next_y );\n\n\t\t\t\t\t// shift adjacent points by unit vectors to the left\n\n\t\t\t\t\tconst ptPrevShift_x = ( inPrev.x - v_prev_y / v_prev_len );\n\t\t\t\t\tconst ptPrevShift_y = ( inPrev.y + v_prev_x / v_prev_len );\n\n\t\t\t\t\tconst ptNextShift_x = ( inNext.x - v_next_y / v_next_len );\n\t\t\t\t\tconst ptNextShift_y = ( inNext.y + v_next_x / v_next_len );\n\n\t\t\t\t\t// scaling factor for v_prev to intersection point\n\n\t\t\t\t\tconst sf = ( ( ptNextShift_x - ptPrevShift_x ) * v_next_y -\n\t\t\t\t\t\t\t( ptNextShift_y - ptPrevShift_y ) * v_next_x ) /\n\t\t\t\t\t\t( v_prev_x * v_next_y - v_prev_y * v_next_x );\n\n\t\t\t\t\t// vector from inPt to intersection point\n\n\t\t\t\t\tv_trans_x = ( ptPrevShift_x + v_prev_x * sf - inPt.x );\n\t\t\t\t\tv_trans_y = ( ptPrevShift_y + v_prev_y * sf - inPt.y );\n\n\t\t\t\t\t// Don't normalize!, otherwise sharp corners become ugly\n\t\t\t\t\t// but prevent crazy spikes\n\t\t\t\t\tconst v_trans_lensq = ( v_trans_x * v_trans_x + v_trans_y * v_trans_y );\n\t\t\t\t\tif ( v_trans_lensq <= 2 ) {\n\n\t\t\t\t\t\treturn new Vector2( v_trans_x, v_trans_y );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_trans_lensq / 2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// handle special case of collinear edges\n\n\t\t\t\t\tlet direction_eq = false; // assumes: opposite\n\n\t\t\t\t\tif ( v_prev_x > Number.EPSILON ) {\n\n\t\t\t\t\t\tif ( v_next_x > Number.EPSILON ) {\n\n\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( v_prev_x < - Number.EPSILON ) {\n\n\t\t\t\t\t\t\tif ( v_next_x < - Number.EPSILON ) {\n\n\t\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tif ( Math.sign( v_prev_y ) === Math.sign( v_next_y ) ) {\n\n\t\t\t\t\t\t\t\tdirection_eq = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( direction_eq ) {\n\n\t\t\t\t\t\t// console.log(\"Warning: lines are a straight sequence\");\n\t\t\t\t\t\tv_trans_x = - v_prev_y;\n\t\t\t\t\t\tv_trans_y = v_prev_x;\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_prev_lensq );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// console.log(\"Warning: lines are a straight spike\");\n\t\t\t\t\t\tv_trans_x = v_prev_x;\n\t\t\t\t\t\tv_trans_y = v_prev_y;\n\t\t\t\t\t\tshrink_by = Math.sqrt( v_prev_lensq / 2 );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\treturn new Vector2( v_trans_x / shrink_by, v_trans_y / shrink_by );\n\n\t\t\t}\n\n\n\t\t\tconst contourMovements = [];\n\n\t\t\tfor ( let i = 0, il = contour.length, j = il - 1, k = i + 1; i < il; i ++, j ++, k ++ ) {\n\n\t\t\t\tif ( j === il ) j = 0;\n\t\t\t\tif ( k === il ) k = 0;\n\n\t\t\t\t// (j)---(i)---(k)\n\t\t\t\t// console.log('i,j,k', i, j , k)\n\n\t\t\t\tcontourMovements[ i ] = getBevelVec( contour[ i ], contour[ j ], contour[ k ] );\n\n\t\t\t}\n\n\t\t\tconst holesMovements = [];\n\t\t\tlet oneHoleMovements, verticesMovements = contourMovements.concat();\n\n\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\tconst ahole = holes[ h ];\n\n\t\t\t\toneHoleMovements = [];\n\n\t\t\t\tfor ( let i = 0, il = ahole.length, j = il - 1, k = i + 1; i < il; i ++, j ++, k ++ ) {\n\n\t\t\t\t\tif ( j === il ) j = 0;\n\t\t\t\t\tif ( k === il ) k = 0;\n\n\t\t\t\t\t// (j)---(i)---(k)\n\t\t\t\t\toneHoleMovements[ i ] = getBevelVec( ahole[ i ], ahole[ j ], ahole[ k ] );\n\n\t\t\t\t}\n\n\t\t\t\tholesMovements.push( oneHoleMovements );\n\t\t\t\tverticesMovements = verticesMovements.concat( oneHoleMovements );\n\n\t\t\t}\n\n\n\t\t\t// Loop bevelSegments, 1 for the front, 1 for the back\n\n\t\t\tfor ( let b = 0; b < bevelSegments; b ++ ) {\n\n\t\t\t\t//for ( b = bevelSegments; b > 0; b -- ) {\n\n\t\t\t\tconst t = b / bevelSegments;\n\t\t\t\tconst z = bevelThickness * Math.cos( t * Math.PI / 2 );\n\t\t\t\tconst bs = bevelSize * Math.sin( t * Math.PI / 2 ) + bevelOffset;\n\n\t\t\t\t// contract shape\n\n\t\t\t\tfor ( let i = 0, il = contour.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst vert = scalePt2( contour[ i ], contourMovements[ i ], bs );\n\n\t\t\t\t\tv( vert.x, vert.y, - z );\n\n\t\t\t\t}\n\n\t\t\t\t// expand holes\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\toneHoleMovements = holesMovements[ h ];\n\n\t\t\t\t\tfor ( let i = 0, il = ahole.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst vert = scalePt2( ahole[ i ], oneHoleMovements[ i ], bs );\n\n\t\t\t\t\t\tv( vert.x, vert.y, - z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst bs = bevelSize + bevelOffset;\n\n\t\t\t// Back facing vertices\n\n\t\t\tfor ( let i = 0; i < vlen; i ++ ) {\n\n\t\t\t\tconst vert = bevelEnabled ? scalePt2( vertices[ i ], verticesMovements[ i ], bs ) : vertices[ i ];\n\n\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\tv( vert.x, vert.y, 0 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// v( vert.x, vert.y + extrudePts[ 0 ].y, extrudePts[ 0 ].x );\n\n\t\t\t\t\tnormal.copy( splineTube.normals[ 0 ] ).multiplyScalar( vert.x );\n\t\t\t\t\tbinormal.copy( splineTube.binormals[ 0 ] ).multiplyScalar( vert.y );\n\n\t\t\t\t\tposition2.copy( extrudePts[ 0 ] ).add( normal ).add( binormal );\n\n\t\t\t\t\tv( position2.x, position2.y, position2.z );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Add stepped vertices...\n\t\t\t// Including front facing vertices\n\n\t\t\tfor ( let s = 1; s <= steps; s ++ ) {\n\n\t\t\t\tfor ( let i = 0; i < vlen; i ++ ) {\n\n\t\t\t\t\tconst vert = bevelEnabled ? scalePt2( vertices[ i ], verticesMovements[ i ], bs ) : vertices[ i ];\n\n\t\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\t\tv( vert.x, vert.y, depth / steps * s );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// v( vert.x, vert.y + extrudePts[ s - 1 ].y, extrudePts[ s - 1 ].x );\n\n\t\t\t\t\t\tnormal.copy( splineTube.normals[ s ] ).multiplyScalar( vert.x );\n\t\t\t\t\t\tbinormal.copy( splineTube.binormals[ s ] ).multiplyScalar( vert.y );\n\n\t\t\t\t\t\tposition2.copy( extrudePts[ s ] ).add( normal ).add( binormal );\n\n\t\t\t\t\t\tv( position2.x, position2.y, position2.z );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\n\t\t\t// Add bevel segments planes\n\n\t\t\t//for ( b = 1; b <= bevelSegments; b ++ ) {\n\t\t\tfor ( let b = bevelSegments - 1; b >= 0; b -- ) {\n\n\t\t\t\tconst t = b / bevelSegments;\n\t\t\t\tconst z = bevelThickness * Math.cos( t * Math.PI / 2 );\n\t\t\t\tconst bs = bevelSize * Math.sin( t * Math.PI / 2 ) + bevelOffset;\n\n\t\t\t\t// contract shape\n\n\t\t\t\tfor ( let i = 0, il = contour.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst vert = scalePt2( contour[ i ], contourMovements[ i ], bs );\n\t\t\t\t\tv( vert.x, vert.y, depth + z );\n\n\t\t\t\t}\n\n\t\t\t\t// expand holes\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\toneHoleMovements = holesMovements[ h ];\n\n\t\t\t\t\tfor ( let i = 0, il = ahole.length; i < il; i ++ ) {\n\n\t\t\t\t\t\tconst vert = scalePt2( ahole[ i ], oneHoleMovements[ i ], bs );\n\n\t\t\t\t\t\tif ( ! extrudeByPath ) {\n\n\t\t\t\t\t\t\tv( vert.x, vert.y, depth + z );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tv( vert.x, vert.y + extrudePts[ steps - 1 ].y, extrudePts[ steps - 1 ].x + z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t/* Faces */\n\n\t\t\t// Top and bottom faces\n\n\t\t\tbuildLidFaces();\n\n\t\t\t// Sides faces\n\n\t\t\tbuildSideFaces();\n\n\n\t\t\t///// Internal functions\n\n\t\t\tfunction buildLidFaces() {\n\n\t\t\t\tconst start = verticesArray.length / 3;\n\n\t\t\t\tif ( bevelEnabled ) {\n\n\t\t\t\t\tlet layer = 0; // steps + 1\n\t\t\t\t\tlet offset = vlen * layer;\n\n\t\t\t\t\t// Bottom faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 2 ] + offset, face[ 1 ] + offset, face[ 0 ] + offset );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tlayer = steps + bevelSegments * 2;\n\t\t\t\t\toffset = vlen * layer;\n\n\t\t\t\t\t// Top faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 0 ] + offset, face[ 1 ] + offset, face[ 2 ] + offset );\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// Bottom faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 2 ], face[ 1 ], face[ 0 ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// Top faces\n\n\t\t\t\t\tfor ( let i = 0; i < flen; i ++ ) {\n\n\t\t\t\t\t\tconst face = faces[ i ];\n\t\t\t\t\t\tf3( face[ 0 ] + vlen * steps, face[ 1 ] + vlen * steps, face[ 2 ] + vlen * steps );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tscope.addGroup( start, verticesArray.length / 3 - start, 0 );\n\n\t\t\t}\n\n\t\t\t// Create faces for the z-sides of the shape\n\n\t\t\tfunction buildSideFaces() {\n\n\t\t\t\tconst start = verticesArray.length / 3;\n\t\t\t\tlet layeroffset = 0;\n\t\t\t\tsidewalls( contour, layeroffset );\n\t\t\t\tlayeroffset += contour.length;\n\n\t\t\t\tfor ( let h = 0, hl = holes.length; h < hl; h ++ ) {\n\n\t\t\t\t\tconst ahole = holes[ h ];\n\t\t\t\t\tsidewalls( ahole, layeroffset );\n\n\t\t\t\t\t//, true\n\t\t\t\t\tlayeroffset += ahole.length;\n\n\t\t\t\t}\n\n\n\t\t\t\tscope.addGroup( start, verticesArray.length / 3 - start, 1 );\n\n\n\t\t\t}\n\n\t\t\tfunction sidewalls( contour, layeroffset ) {\n\n\t\t\t\tlet i = contour.length;\n\n\t\t\t\twhile ( -- i >= 0 ) {\n\n\t\t\t\t\tconst j = i;\n\t\t\t\t\tlet k = i - 1;\n\t\t\t\t\tif ( k < 0 ) k = contour.length - 1;\n\n\t\t\t\t\t//console.log('b', i,j, i-1, k,vertices.length);\n\n\t\t\t\t\tfor ( let s = 0, sl = ( steps + bevelSegments * 2 ); s < sl; s ++ ) {\n\n\t\t\t\t\t\tconst slen1 = vlen * s;\n\t\t\t\t\t\tconst slen2 = vlen * ( s + 1 );\n\n\t\t\t\t\t\tconst a = layeroffset + j + slen1,\n\t\t\t\t\t\t\tb = layeroffset + k + slen1,\n\t\t\t\t\t\t\tc = layeroffset + k + slen2,\n\t\t\t\t\t\t\td = layeroffset + j + slen2;\n\n\t\t\t\t\t\tf4( a, b, c, d );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tfunction v( x, y, z ) {\n\n\t\t\t\tplaceholder.push( x );\n\t\t\t\tplaceholder.push( y );\n\t\t\t\tplaceholder.push( z );\n\n\t\t\t}\n\n\n\t\t\tfunction f3( a, b, c ) {\n\n\t\t\t\taddVertex( a );\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( c );\n\n\t\t\t\tconst nextIndex = verticesArray.length / 3;\n\t\t\t\tconst uvs = uvgen.generateTopUV( scope, verticesArray, nextIndex - 3, nextIndex - 2, nextIndex - 1 );\n\n\t\t\t\taddUV( uvs[ 0 ] );\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 2 ] );\n\n\t\t\t}\n\n\t\t\tfunction f4( a, b, c, d ) {\n\n\t\t\t\taddVertex( a );\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( d );\n\n\t\t\t\taddVertex( b );\n\t\t\t\taddVertex( c );\n\t\t\t\taddVertex( d );\n\n\n\t\t\t\tconst nextIndex = verticesArray.length / 3;\n\t\t\t\tconst uvs = uvgen.generateSideWallUV( scope, verticesArray, nextIndex - 6, nextIndex - 3, nextIndex - 2, nextIndex - 1 );\n\n\t\t\t\taddUV( uvs[ 0 ] );\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 3 ] );\n\n\t\t\t\taddUV( uvs[ 1 ] );\n\t\t\t\taddUV( uvs[ 2 ] );\n\t\t\t\taddUV( uvs[ 3 ] );\n\n\t\t\t}\n\n\t\t\tfunction addVertex( index ) {\n\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 0 ] );\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 1 ] );\n\t\t\t\tverticesArray.push( placeholder[ index * 3 + 2 ] );\n\n\t\t\t}\n\n\n\t\t\tfunction addUV( vector2 ) {\n\n\t\t\t\tuvArray.push( vector2.x );\n\t\t\t\tuvArray.push( vector2.y );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tconst shapes = this.parameters.shapes;\n\t\tconst options = this.parameters.options;\n\n\t\treturn toJSON$1( shapes, options, data );\n\n\t}\n\n\tstatic fromJSON( data, shapes ) {\n\n\t\tconst geometryShapes = [];\n\n\t\tfor ( let j = 0, jl = data.shapes.length; j < jl; j ++ ) {\n\n\t\t\tconst shape = shapes[ data.shapes[ j ] ];\n\n\t\t\tgeometryShapes.push( shape );\n\n\t\t}\n\n\t\tconst extrudePath = data.options.extrudePath;\n\n\t\tif ( extrudePath !== undefined ) {\n\n\t\t\tdata.options.extrudePath = new Curves[ extrudePath.type ]().fromJSON( extrudePath );\n\n\t\t}\n\n\t\treturn new ExtrudeGeometry( geometryShapes, data.options );\n\n\t}\n\n}\n\nconst WorldUVGenerator = {\n\n\tgenerateTopUV: function ( geometry, vertices, indexA, indexB, indexC ) {\n\n\t\tconst a_x = vertices[ indexA * 3 ];\n\t\tconst a_y = vertices[ indexA * 3 + 1 ];\n\t\tconst b_x = vertices[ indexB * 3 ];\n\t\tconst b_y = vertices[ indexB * 3 + 1 ];\n\t\tconst c_x = vertices[ indexC * 3 ];\n\t\tconst c_y = vertices[ indexC * 3 + 1 ];\n\n\t\treturn [\n\t\t\tnew Vector2( a_x, a_y ),\n\t\t\tnew Vector2( b_x, b_y ),\n\t\t\tnew Vector2( c_x, c_y )\n\t\t];\n\n\t},\n\n\tgenerateSideWallUV: function ( geometry, vertices, indexA, indexB, indexC, indexD ) {\n\n\t\tconst a_x = vertices[ indexA * 3 ];\n\t\tconst a_y = vertices[ indexA * 3 + 1 ];\n\t\tconst a_z = vertices[ indexA * 3 + 2 ];\n\t\tconst b_x = vertices[ indexB * 3 ];\n\t\tconst b_y = vertices[ indexB * 3 + 1 ];\n\t\tconst b_z = vertices[ indexB * 3 + 2 ];\n\t\tconst c_x = vertices[ indexC * 3 ];\n\t\tconst c_y = vertices[ indexC * 3 + 1 ];\n\t\tconst c_z = vertices[ indexC * 3 + 2 ];\n\t\tconst d_x = vertices[ indexD * 3 ];\n\t\tconst d_y = vertices[ indexD * 3 + 1 ];\n\t\tconst d_z = vertices[ indexD * 3 + 2 ];\n\n\t\tif ( Math.abs( a_y - b_y ) < Math.abs( a_x - b_x ) ) {\n\n\t\t\treturn [\n\t\t\t\tnew Vector2( a_x, 1 - a_z ),\n\t\t\t\tnew Vector2( b_x, 1 - b_z ),\n\t\t\t\tnew Vector2( c_x, 1 - c_z ),\n\t\t\t\tnew Vector2( d_x, 1 - d_z )\n\t\t\t];\n\n\t\t} else {\n\n\t\t\treturn [\n\t\t\t\tnew Vector2( a_y, 1 - a_z ),\n\t\t\t\tnew Vector2( b_y, 1 - b_z ),\n\t\t\t\tnew Vector2( c_y, 1 - c_z ),\n\t\t\t\tnew Vector2( d_y, 1 - d_z )\n\t\t\t];\n\n\t\t}\n\n\t}\n\n};\n\nfunction toJSON$1( shapes, options, data ) {\n\n\tdata.shapes = [];\n\n\tif ( Array.isArray( shapes ) ) {\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\n\t\t\tdata.shapes.push( shape.uuid );\n\n\t\t}\n\n\t} else {\n\n\t\tdata.shapes.push( shapes.uuid );\n\n\t}\n\n\tdata.options = Object.assign( {}, options );\n\n\tif ( options.extrudePath !== undefined ) data.options.extrudePath = options.extrudePath.toJSON();\n\n\treturn data;\n\n}\n\nclass IcosahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst t = ( 1 + Math.sqrt( 5 ) ) / 2;\n\n\t\tconst vertices = [\n\t\t\t- 1, t, 0, \t1, t, 0, \t- 1, - t, 0, \t1, - t, 0,\n\t\t\t0, - 1, t, \t0, 1, t,\t0, - 1, - t, \t0, 1, - t,\n\t\t\tt, 0, - 1, \tt, 0, 1, \t- t, 0, - 1, \t- t, 0, 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t0, 11, 5, \t0, 5, 1, \t0, 1, 7, \t0, 7, 10, \t0, 10, 11,\n\t\t\t1, 5, 9, \t5, 11, 4,\t11, 10, 2,\t10, 7, 6,\t7, 1, 8,\n\t\t\t3, 9, 4, \t3, 4, 2,\t3, 2, 6,\t3, 6, 8,\t3, 8, 9,\n\t\t\t4, 9, 5, \t2, 4, 11,\t6, 2, 10,\t8, 6, 7,\t9, 8, 1\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'IcosahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new IcosahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass OctahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst vertices = [\n\t\t\t1, 0, 0, \t- 1, 0, 0,\t0, 1, 0,\n\t\t\t0, - 1, 0, \t0, 0, 1,\t0, 0, - 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t0, 2, 4,\t0, 4, 3,\t0, 3, 5,\n\t\t\t0, 5, 2,\t1, 2, 5,\t1, 5, 3,\n\t\t\t1, 3, 4,\t1, 4, 2\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'OctahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new OctahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass RingGeometry extends BufferGeometry {\n\n\tconstructor( innerRadius = 0.5, outerRadius = 1, thetaSegments = 32, phiSegments = 1, thetaStart = 0, thetaLength = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'RingGeometry';\n\n\t\tthis.parameters = {\n\t\t\tinnerRadius: innerRadius,\n\t\t\touterRadius: outerRadius,\n\t\t\tthetaSegments: thetaSegments,\n\t\t\tphiSegments: phiSegments,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\tthetaSegments = Math.max( 3, thetaSegments );\n\t\tphiSegments = Math.max( 1, phiSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// some helper variables\n\n\t\tlet radius = innerRadius;\n\t\tconst radiusStep = ( ( outerRadius - innerRadius ) / phiSegments );\n\t\tconst vertex = new Vector3();\n\t\tconst uv = new Vector2();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let j = 0; j <= phiSegments; j ++ ) {\n\n\t\t\tfor ( let i = 0; i <= thetaSegments; i ++ ) {\n\n\t\t\t\t// values are generate from the inside of the ring to the outside\n\n\t\t\t\tconst segment = thetaStart + i / thetaSegments * thetaLength;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = radius * Math.cos( segment );\n\t\t\t\tvertex.y = radius * Math.sin( segment );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormals.push( 0, 0, 1 );\n\n\t\t\t\t// uv\n\n\t\t\t\tuv.x = ( vertex.x / outerRadius + 1 ) / 2;\n\t\t\t\tuv.y = ( vertex.y / outerRadius + 1 ) / 2;\n\n\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t}\n\n\t\t\t// increase the radius for next row of vertices\n\n\t\t\tradius += radiusStep;\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let j = 0; j < phiSegments; j ++ ) {\n\n\t\t\tconst thetaSegmentLevel = j * ( thetaSegments + 1 );\n\n\t\t\tfor ( let i = 0; i < thetaSegments; i ++ ) {\n\n\t\t\t\tconst segment = i + thetaSegmentLevel;\n\n\t\t\t\tconst a = segment;\n\t\t\t\tconst b = segment + thetaSegments + 1;\n\t\t\t\tconst c = segment + thetaSegments + 2;\n\t\t\t\tconst d = segment + 1;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new RingGeometry( data.innerRadius, data.outerRadius, data.thetaSegments, data.phiSegments, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass ShapeGeometry extends BufferGeometry {\n\n\tconstructor( shapes = new Shape( [ new Vector2( 0, 0.5 ), new Vector2( - 0.5, - 0.5 ), new Vector2( 0.5, - 0.5 ) ] ), curveSegments = 12 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ShapeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tshapes: shapes,\n\t\t\tcurveSegments: curveSegments\n\t\t};\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tlet groupStart = 0;\n\t\tlet groupCount = 0;\n\n\t\t// allow single and array values for \"shapes\" parameter\n\n\t\tif ( Array.isArray( shapes ) === false ) {\n\n\t\t\taddShape( shapes );\n\n\t\t} else {\n\n\t\t\tfor ( let i = 0; i < shapes.length; i ++ ) {\n\n\t\t\t\taddShape( shapes[ i ] );\n\n\t\t\t\tthis.addGroup( groupStart, groupCount, i ); // enables MultiMaterial support\n\n\t\t\t\tgroupStart += groupCount;\n\t\t\t\tgroupCount = 0;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\n\t\t// helper functions\n\n\t\tfunction addShape( shape ) {\n\n\t\t\tconst indexOffset = vertices.length / 3;\n\t\t\tconst points = shape.extractPoints( curveSegments );\n\n\t\t\tlet shapeVertices = points.shape;\n\t\t\tconst shapeHoles = points.holes;\n\n\t\t\t// check direction of vertices\n\n\t\t\tif ( ShapeUtils.isClockWise( shapeVertices ) === false ) {\n\n\t\t\t\tshapeVertices = shapeVertices.reverse();\n\n\t\t\t}\n\n\t\t\tfor ( let i = 0, l = shapeHoles.length; i < l; i ++ ) {\n\n\t\t\t\tconst shapeHole = shapeHoles[ i ];\n\n\t\t\t\tif ( ShapeUtils.isClockWise( shapeHole ) === true ) {\n\n\t\t\t\t\tshapeHoles[ i ] = shapeHole.reverse();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconst faces = ShapeUtils.triangulateShape( shapeVertices, shapeHoles );\n\n\t\t\t// join vertices of inner and outer paths to a single array\n\n\t\t\tfor ( let i = 0, l = shapeHoles.length; i < l; i ++ ) {\n\n\t\t\t\tconst shapeHole = shapeHoles[ i ];\n\t\t\t\tshapeVertices = shapeVertices.concat( shapeHole );\n\n\t\t\t}\n\n\t\t\t// vertices, normals, uvs\n\n\t\t\tfor ( let i = 0, l = shapeVertices.length; i < l; i ++ ) {\n\n\t\t\t\tconst vertex = shapeVertices[ i ];\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, 0 );\n\t\t\t\tnormals.push( 0, 0, 1 );\n\t\t\t\tuvs.push( vertex.x, vertex.y ); // world uvs\n\n\t\t\t}\n\n\t\t\t// indices\n\n\t\t\tfor ( let i = 0, l = faces.length; i < l; i ++ ) {\n\n\t\t\t\tconst face = faces[ i ];\n\n\t\t\t\tconst a = face[ 0 ] + indexOffset;\n\t\t\t\tconst b = face[ 1 ] + indexOffset;\n\t\t\t\tconst c = face[ 2 ] + indexOffset;\n\n\t\t\t\tindices.push( a, b, c );\n\t\t\t\tgroupCount += 3;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tconst shapes = this.parameters.shapes;\n\n\t\treturn toJSON( shapes, data );\n\n\t}\n\n\tstatic fromJSON( data, shapes ) {\n\n\t\tconst geometryShapes = [];\n\n\t\tfor ( let j = 0, jl = data.shapes.length; j < jl; j ++ ) {\n\n\t\t\tconst shape = shapes[ data.shapes[ j ] ];\n\n\t\t\tgeometryShapes.push( shape );\n\n\t\t}\n\n\t\treturn new ShapeGeometry( geometryShapes, data.curveSegments );\n\n\t}\n\n}\n\nfunction toJSON( shapes, data ) {\n\n\tdata.shapes = [];\n\n\tif ( Array.isArray( shapes ) ) {\n\n\t\tfor ( let i = 0, l = shapes.length; i < l; i ++ ) {\n\n\t\t\tconst shape = shapes[ i ];\n\n\t\t\tdata.shapes.push( shape.uuid );\n\n\t\t}\n\n\t} else {\n\n\t\tdata.shapes.push( shapes.uuid );\n\n\t}\n\n\treturn data;\n\n}\n\nclass SphereGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, widthSegments = 32, heightSegments = 16, phiStart = 0, phiLength = Math.PI * 2, thetaStart = 0, thetaLength = Math.PI ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'SphereGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\twidthSegments: widthSegments,\n\t\t\theightSegments: heightSegments,\n\t\t\tphiStart: phiStart,\n\t\t\tphiLength: phiLength,\n\t\t\tthetaStart: thetaStart,\n\t\t\tthetaLength: thetaLength\n\t\t};\n\n\t\twidthSegments = Math.max( 3, Math.floor( widthSegments ) );\n\t\theightSegments = Math.max( 2, Math.floor( heightSegments ) );\n\n\t\tconst thetaEnd = Math.min( thetaStart + thetaLength, Math.PI );\n\n\t\tlet index = 0;\n\t\tconst grid = [];\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let iy = 0; iy <= heightSegments; iy ++ ) {\n\n\t\t\tconst verticesRow = [];\n\n\t\t\tconst v = iy / heightSegments;\n\n\t\t\t// special case for the poles\n\n\t\t\tlet uOffset = 0;\n\n\t\t\tif ( iy === 0 && thetaStart === 0 ) {\n\n\t\t\t\tuOffset = 0.5 / widthSegments;\n\n\t\t\t} else if ( iy === heightSegments && thetaEnd === Math.PI ) {\n\n\t\t\t\tuOffset = - 0.5 / widthSegments;\n\n\t\t\t}\n\n\t\t\tfor ( let ix = 0; ix <= widthSegments; ix ++ ) {\n\n\t\t\t\tconst u = ix / widthSegments;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = - radius * Math.cos( phiStart + u * phiLength ) * Math.sin( thetaStart + v * thetaLength );\n\t\t\t\tvertex.y = radius * Math.cos( thetaStart + v * thetaLength );\n\t\t\t\tvertex.z = radius * Math.sin( phiStart + u * phiLength ) * Math.sin( thetaStart + v * thetaLength );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormal.copy( vertex ).normalize();\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( u + uOffset, 1 - v );\n\n\t\t\t\tverticesRow.push( index ++ );\n\n\t\t\t}\n\n\t\t\tgrid.push( verticesRow );\n\n\t\t}\n\n\t\t// indices\n\n\t\tfor ( let iy = 0; iy < heightSegments; iy ++ ) {\n\n\t\t\tfor ( let ix = 0; ix < widthSegments; ix ++ ) {\n\n\t\t\t\tconst a = grid[ iy ][ ix + 1 ];\n\t\t\t\tconst b = grid[ iy ][ ix ];\n\t\t\t\tconst c = grid[ iy + 1 ][ ix ];\n\t\t\t\tconst d = grid[ iy + 1 ][ ix + 1 ];\n\n\t\t\t\tif ( iy !== 0 || thetaStart > 0 ) indices.push( a, b, d );\n\t\t\t\tif ( iy !== heightSegments - 1 || thetaEnd < Math.PI ) indices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new SphereGeometry( data.radius, data.widthSegments, data.heightSegments, data.phiStart, data.phiLength, data.thetaStart, data.thetaLength );\n\n\t}\n\n}\n\nclass TetrahedronGeometry extends PolyhedronGeometry {\n\n\tconstructor( radius = 1, detail = 0 ) {\n\n\t\tconst vertices = [\n\t\t\t1, 1, 1, \t- 1, - 1, 1, \t- 1, 1, - 1, \t1, - 1, - 1\n\t\t];\n\n\t\tconst indices = [\n\t\t\t2, 1, 0, \t0, 3, 2,\t1, 3, 0,\t2, 3, 1\n\t\t];\n\n\t\tsuper( vertices, indices, radius, detail );\n\n\t\tthis.type = 'TetrahedronGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\tdetail: detail\n\t\t};\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TetrahedronGeometry( data.radius, data.detail );\n\n\t}\n\n}\n\nclass TorusGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, tube = 0.4, radialSegments = 12, tubularSegments = 48, arc = Math.PI * 2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TorusGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\ttube: tube,\n\t\t\tradialSegments: radialSegments,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tarc: arc\n\t\t};\n\n\t\tradialSegments = Math.floor( radialSegments );\n\t\ttubularSegments = Math.floor( tubularSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst center = new Vector3();\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\tfor ( let i = 0; i <= tubularSegments; i ++ ) {\n\n\t\t\t\tconst u = i / tubularSegments * arc;\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = ( radius + tube * Math.cos( v ) ) * Math.cos( u );\n\t\t\t\tvertex.y = ( radius + tube * Math.cos( v ) ) * Math.sin( u );\n\t\t\t\tvertex.z = tube * Math.sin( v );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal\n\n\t\t\t\tcenter.x = radius * Math.cos( u );\n\t\t\t\tcenter.y = radius * Math.sin( u );\n\t\t\t\tnormal.subVectors( vertex, center ).normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( i / tubularSegments );\n\t\t\t\tuvs.push( j / radialSegments );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate indices\n\n\t\tfor ( let j = 1; j <= radialSegments; j ++ ) {\n\n\t\t\tfor ( let i = 1; i <= tubularSegments; i ++ ) {\n\n\t\t\t\t// indices\n\n\t\t\t\tconst a = ( tubularSegments + 1 ) * j + i - 1;\n\t\t\t\tconst b = ( tubularSegments + 1 ) * ( j - 1 ) + i - 1;\n\t\t\t\tconst c = ( tubularSegments + 1 ) * ( j - 1 ) + i;\n\t\t\t\tconst d = ( tubularSegments + 1 ) * j + i;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TorusGeometry( data.radius, data.tube, data.radialSegments, data.tubularSegments, data.arc );\n\n\t}\n\n}\n\nclass TorusKnotGeometry extends BufferGeometry {\n\n\tconstructor( radius = 1, tube = 0.4, tubularSegments = 64, radialSegments = 8, p = 2, q = 3 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TorusKnotGeometry';\n\n\t\tthis.parameters = {\n\t\t\tradius: radius,\n\t\t\ttube: tube,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tradialSegments: radialSegments,\n\t\t\tp: p,\n\t\t\tq: q\n\t\t};\n\n\t\ttubularSegments = Math.floor( tubularSegments );\n\t\tradialSegments = Math.floor( radialSegments );\n\n\t\t// buffers\n\n\t\tconst indices = [];\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\n\t\tconst P1 = new Vector3();\n\t\tconst P2 = new Vector3();\n\n\t\tconst B = new Vector3();\n\t\tconst T = new Vector3();\n\t\tconst N = new Vector3();\n\n\t\t// generate vertices, normals and uvs\n\n\t\tfor ( let i = 0; i <= tubularSegments; ++ i ) {\n\n\t\t\t// the radian \"u\" is used to calculate the position on the torus curve of the current tubular segment\n\n\t\t\tconst u = i / tubularSegments * p * Math.PI * 2;\n\n\t\t\t// now we calculate two points. P1 is our current position on the curve, P2 is a little farther ahead.\n\t\t\t// these points are used to create a special \"coordinate space\", which is necessary to calculate the correct vertex positions\n\n\t\t\tcalculatePositionOnCurve( u, p, q, radius, P1 );\n\t\t\tcalculatePositionOnCurve( u + 0.01, p, q, radius, P2 );\n\n\t\t\t// calculate orthonormal basis\n\n\t\t\tT.subVectors( P2, P1 );\n\t\t\tN.addVectors( P2, P1 );\n\t\t\tB.crossVectors( T, N );\n\t\t\tN.crossVectors( B, T );\n\n\t\t\t// normalize B, N. T can be ignored, we don't use it\n\n\t\t\tB.normalize();\n\t\t\tN.normalize();\n\n\t\t\tfor ( let j = 0; j <= radialSegments; ++ j ) {\n\n\t\t\t\t// now calculate the vertices. they are nothing more than an extrusion of the torus curve.\n\t\t\t\t// because we extrude a shape in the xy-plane, there is no need to calculate a z-value.\n\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\t\t\t\tconst cx = - tube * Math.cos( v );\n\t\t\t\tconst cy = tube * Math.sin( v );\n\n\t\t\t\t// now calculate the final vertex position.\n\t\t\t\t// first we orient the extrusion with our basis vectors, then we add it to the current position on the curve\n\n\t\t\t\tvertex.x = P1.x + ( cx * N.x + cy * B.x );\n\t\t\t\tvertex.y = P1.y + ( cx * N.y + cy * B.y );\n\t\t\t\tvertex.z = P1.z + ( cx * N.z + cy * B.z );\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t\t// normal (P1 is always the center/origin of the extrusion, thus we can use it to calculate the normal)\n\n\t\t\t\tnormal.subVectors( vertex, P1 ).normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// uv\n\n\t\t\t\tuvs.push( i / tubularSegments );\n\t\t\t\tuvs.push( j / radialSegments );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// generate indices\n\n\t\tfor ( let j = 1; j <= tubularSegments; j ++ ) {\n\n\t\t\tfor ( let i = 1; i <= radialSegments; i ++ ) {\n\n\t\t\t\t// indices\n\n\t\t\t\tconst a = ( radialSegments + 1 ) * ( j - 1 ) + ( i - 1 );\n\t\t\t\tconst b = ( radialSegments + 1 ) * j + ( i - 1 );\n\t\t\t\tconst c = ( radialSegments + 1 ) * j + i;\n\t\t\t\tconst d = ( radialSegments + 1 ) * ( j - 1 ) + i;\n\n\t\t\t\t// faces\n\n\t\t\t\tindices.push( a, b, d );\n\t\t\t\tindices.push( b, c, d );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\t// this function calculates the current position on the torus curve\n\n\t\tfunction calculatePositionOnCurve( u, p, q, radius, position ) {\n\n\t\t\tconst cu = Math.cos( u );\n\t\t\tconst su = Math.sin( u );\n\t\t\tconst quOverP = q / p * u;\n\t\t\tconst cs = Math.cos( quOverP );\n\n\t\t\tposition.x = radius * ( 2 + cs ) * 0.5 * cu;\n\t\t\tposition.y = radius * ( 2 + cs ) * su * 0.5;\n\t\t\tposition.z = radius * Math.sin( quOverP ) * 0.5;\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\treturn new TorusKnotGeometry( data.radius, data.tube, data.tubularSegments, data.radialSegments, data.p, data.q );\n\n\t}\n\n}\n\nclass TubeGeometry extends BufferGeometry {\n\n\tconstructor( path = new QuadraticBezierCurve3( new Vector3( - 1, - 1, 0 ), new Vector3( - 1, 1, 0 ), new Vector3( 1, 1, 0 ) ), tubularSegments = 64, radius = 1, radialSegments = 8, closed = false ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'TubeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tpath: path,\n\t\t\ttubularSegments: tubularSegments,\n\t\t\tradius: radius,\n\t\t\tradialSegments: radialSegments,\n\t\t\tclosed: closed\n\t\t};\n\n\t\tconst frames = path.computeFrenetFrames( tubularSegments, closed );\n\n\t\t// expose internals\n\n\t\tthis.tangents = frames.tangents;\n\t\tthis.normals = frames.normals;\n\t\tthis.binormals = frames.binormals;\n\n\t\t// helper variables\n\n\t\tconst vertex = new Vector3();\n\t\tconst normal = new Vector3();\n\t\tconst uv = new Vector2();\n\t\tlet P = new Vector3();\n\n\t\t// buffer\n\n\t\tconst vertices = [];\n\t\tconst normals = [];\n\t\tconst uvs = [];\n\t\tconst indices = [];\n\n\t\t// create buffer data\n\n\t\tgenerateBufferData();\n\n\t\t// build geometry\n\n\t\tthis.setIndex( indices );\n\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tthis.setAttribute( 'normal', new Float32BufferAttribute( normals, 3 ) );\n\t\tthis.setAttribute( 'uv', new Float32BufferAttribute( uvs, 2 ) );\n\n\t\t// functions\n\n\t\tfunction generateBufferData() {\n\n\t\t\tfor ( let i = 0; i < tubularSegments; i ++ ) {\n\n\t\t\t\tgenerateSegment( i );\n\n\t\t\t}\n\n\t\t\t// if the geometry is not closed, generate the last row of vertices and normals\n\t\t\t// at the regular position on the given path\n\t\t\t//\n\t\t\t// if the geometry is closed, duplicate the first row of vertices and normals (uvs will differ)\n\n\t\t\tgenerateSegment( ( closed === false ) ? tubularSegments : 0 );\n\n\t\t\t// uvs are generated in a separate function.\n\t\t\t// this makes it easy compute correct values for closed geometries\n\n\t\t\tgenerateUVs();\n\n\t\t\t// finally create faces\n\n\t\t\tgenerateIndices();\n\n\t\t}\n\n\t\tfunction generateSegment( i ) {\n\n\t\t\t// we use getPointAt to sample evenly distributed points from the given path\n\n\t\t\tP = path.getPointAt( i / tubularSegments, P );\n\n\t\t\t// retrieve corresponding normal and binormal\n\n\t\t\tconst N = frames.normals[ i ];\n\t\t\tconst B = frames.binormals[ i ];\n\n\t\t\t// generate normals and vertices for the current segment\n\n\t\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\t\tconst v = j / radialSegments * Math.PI * 2;\n\n\t\t\t\tconst sin = Math.sin( v );\n\t\t\t\tconst cos = - Math.cos( v );\n\n\t\t\t\t// normal\n\n\t\t\t\tnormal.x = ( cos * N.x + sin * B.x );\n\t\t\t\tnormal.y = ( cos * N.y + sin * B.y );\n\t\t\t\tnormal.z = ( cos * N.z + sin * B.z );\n\t\t\t\tnormal.normalize();\n\n\t\t\t\tnormals.push( normal.x, normal.y, normal.z );\n\n\t\t\t\t// vertex\n\n\t\t\t\tvertex.x = P.x + radius * normal.x;\n\t\t\t\tvertex.y = P.y + radius * normal.y;\n\t\t\t\tvertex.z = P.z + radius * normal.z;\n\n\t\t\t\tvertices.push( vertex.x, vertex.y, vertex.z );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateIndices() {\n\n\t\t\tfor ( let j = 1; j <= tubularSegments; j ++ ) {\n\n\t\t\t\tfor ( let i = 1; i <= radialSegments; i ++ ) {\n\n\t\t\t\t\tconst a = ( radialSegments + 1 ) * ( j - 1 ) + ( i - 1 );\n\t\t\t\t\tconst b = ( radialSegments + 1 ) * j + ( i - 1 );\n\t\t\t\t\tconst c = ( radialSegments + 1 ) * j + i;\n\t\t\t\t\tconst d = ( radialSegments + 1 ) * ( j - 1 ) + i;\n\n\t\t\t\t\t// faces\n\n\t\t\t\t\tindices.push( a, b, d );\n\t\t\t\t\tindices.push( b, c, d );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction generateUVs() {\n\n\t\t\tfor ( let i = 0; i <= tubularSegments; i ++ ) {\n\n\t\t\t\tfor ( let j = 0; j <= radialSegments; j ++ ) {\n\n\t\t\t\t\tuv.x = i / tubularSegments;\n\t\t\t\t\tuv.y = j / radialSegments;\n\n\t\t\t\t\tuvs.push( uv.x, uv.y );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.path = this.parameters.path.toJSON();\n\n\t\treturn data;\n\n\t}\n\n\tstatic fromJSON( data ) {\n\n\t\t// This only works for built-in curves (e.g. CatmullRomCurve3).\n\t\t// User defined curves or instances of CurvePath will not be deserialized.\n\t\treturn new TubeGeometry(\n\t\t\tnew Curves[ data.path.type ]().fromJSON( data.path ),\n\t\t\tdata.tubularSegments,\n\t\t\tdata.radius,\n\t\t\tdata.radialSegments,\n\t\t\tdata.closed\n\t\t);\n\n\t}\n\n}\n\nclass WireframeGeometry extends BufferGeometry {\n\n\tconstructor( geometry = null ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'WireframeGeometry';\n\n\t\tthis.parameters = {\n\t\t\tgeometry: geometry\n\t\t};\n\n\t\tif ( geometry !== null ) {\n\n\t\t\t// buffer\n\n\t\t\tconst vertices = [];\n\t\t\tconst edges = new Set();\n\n\t\t\t// helper variables\n\n\t\t\tconst start = new Vector3();\n\t\t\tconst end = new Vector3();\n\n\t\t\tif ( geometry.index !== null ) {\n\n\t\t\t\t// indexed BufferGeometry\n\n\t\t\t\tconst position = geometry.attributes.position;\n\t\t\t\tconst indices = geometry.index;\n\t\t\t\tlet groups = geometry.groups;\n\n\t\t\t\tif ( groups.length === 0 ) {\n\n\t\t\t\t\tgroups = [ { start: 0, count: indices.count, materialIndex: 0 } ];\n\n\t\t\t\t}\n\n\t\t\t\t// create a data structure that contains all edges without duplicates\n\n\t\t\t\tfor ( let o = 0, ol = groups.length; o < ol; ++ o ) {\n\n\t\t\t\t\tconst group = groups[ o ];\n\n\t\t\t\t\tconst groupStart = group.start;\n\t\t\t\t\tconst groupCount = group.count;\n\n\t\t\t\t\tfor ( let i = groupStart, l = ( groupStart + groupCount ); i < l; i += 3 ) {\n\n\t\t\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t\t\tconst index1 = indices.getX( i + j );\n\t\t\t\t\t\t\tconst index2 = indices.getX( i + ( j + 1 ) % 3 );\n\n\t\t\t\t\t\t\tstart.fromBufferAttribute( position, index1 );\n\t\t\t\t\t\t\tend.fromBufferAttribute( position, index2 );\n\n\t\t\t\t\t\t\tif ( isUniqueEdge( start, end, edges ) === true ) {\n\n\t\t\t\t\t\t\t\tvertices.push( start.x, start.y, start.z );\n\t\t\t\t\t\t\t\tvertices.push( end.x, end.y, end.z );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\t// non-indexed BufferGeometry\n\n\t\t\t\tconst position = geometry.attributes.position;\n\n\t\t\t\tfor ( let i = 0, l = ( position.count / 3 ); i < l; i ++ ) {\n\n\t\t\t\t\tfor ( let j = 0; j < 3; j ++ ) {\n\n\t\t\t\t\t\t// three edges per triangle, an edge is represented as (index1, index2)\n\t\t\t\t\t\t// e.g. the first triangle has the following edges: (0,1),(1,2),(2,0)\n\n\t\t\t\t\t\tconst index1 = 3 * i + j;\n\t\t\t\t\t\tconst index2 = 3 * i + ( ( j + 1 ) % 3 );\n\n\t\t\t\t\t\tstart.fromBufferAttribute( position, index1 );\n\t\t\t\t\t\tend.fromBufferAttribute( position, index2 );\n\n\t\t\t\t\t\tif ( isUniqueEdge( start, end, edges ) === true ) {\n\n\t\t\t\t\t\t\tvertices.push( start.x, start.y, start.z );\n\t\t\t\t\t\t\tvertices.push( end.x, end.y, end.z );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// build geometry\n\n\t\t\tthis.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.parameters = Object.assign( {}, source.parameters );\n\n\t\treturn this;\n\n\t}\n\n}\n\nfunction isUniqueEdge( start, end, edges ) {\n\n\tconst hash1 = `${start.x},${start.y},${start.z}-${end.x},${end.y},${end.z}`;\n\tconst hash2 = `${end.x},${end.y},${end.z}-${start.x},${start.y},${start.z}`; // coincident edge\n\n\tif ( edges.has( hash1 ) === true || edges.has( hash2 ) === true ) {\n\n\t\treturn false;\n\n\t} else {\n\n\t\tedges.add( hash1 );\n\t\tedges.add( hash2 );\n\t\treturn true;\n\n\t}\n\n}\n\nvar Geometries = /*#__PURE__*/Object.freeze({\n\t__proto__: null,\n\tBoxGeometry: BoxGeometry,\n\tCapsuleGeometry: CapsuleGeometry,\n\tCircleGeometry: CircleGeometry,\n\tConeGeometry: ConeGeometry,\n\tCylinderGeometry: CylinderGeometry,\n\tDodecahedronGeometry: DodecahedronGeometry,\n\tEdgesGeometry: EdgesGeometry,\n\tExtrudeGeometry: ExtrudeGeometry,\n\tIcosahedronGeometry: IcosahedronGeometry,\n\tLatheGeometry: LatheGeometry,\n\tOctahedronGeometry: OctahedronGeometry,\n\tPlaneGeometry: PlaneGeometry,\n\tPolyhedronGeometry: PolyhedronGeometry,\n\tRingGeometry: RingGeometry,\n\tShapeGeometry: ShapeGeometry,\n\tSphereGeometry: SphereGeometry,\n\tTetrahedronGeometry: TetrahedronGeometry,\n\tTorusGeometry: TorusGeometry,\n\tTorusKnotGeometry: TorusKnotGeometry,\n\tTubeGeometry: TubeGeometry,\n\tWireframeGeometry: WireframeGeometry\n});\n\nclass ShadowMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isShadowMaterial = true;\n\n\t\tthis.type = 'ShadowMaterial';\n\n\t\tthis.color = new Color( 0x000000 );\n\t\tthis.transparent = true;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass RawShaderMaterial extends ShaderMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper( parameters );\n\n\t\tthis.isRawShaderMaterial = true;\n\n\t\tthis.type = 'RawShaderMaterial';\n\n\t}\n\n}\n\nclass MeshStandardMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshStandardMaterial = true;\n\n\t\tthis.defines = { 'STANDARD': '' };\n\n\t\tthis.type = 'MeshStandardMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\t\tthis.roughness = 1.0;\n\t\tthis.metalness = 0.0;\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.roughnessMap = null;\n\n\t\tthis.metalnessMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.envMapIntensity = 1.0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = { 'STANDARD': '' };\n\n\t\tthis.color.copy( source.color );\n\t\tthis.roughness = source.roughness;\n\t\tthis.metalness = source.metalness;\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.roughnessMap = source.roughnessMap;\n\n\t\tthis.metalnessMap = source.metalnessMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.envMapIntensity = source.envMapIntensity;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshPhysicalMaterial extends MeshStandardMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshPhysicalMaterial = true;\n\n\t\tthis.defines = {\n\n\t\t\t'STANDARD': '',\n\t\t\t'PHYSICAL': ''\n\n\t\t};\n\n\t\tthis.type = 'MeshPhysicalMaterial';\n\n\t\tthis.anisotropyRotation = 0;\n\t\tthis.anisotropyMap = null;\n\n\t\tthis.clearcoatMap = null;\n\t\tthis.clearcoatRoughness = 0.0;\n\t\tthis.clearcoatRoughnessMap = null;\n\t\tthis.clearcoatNormalScale = new Vector2( 1, 1 );\n\t\tthis.clearcoatNormalMap = null;\n\n\t\tthis.ior = 1.5;\n\n\t\tObject.defineProperty( this, 'reflectivity', {\n\t\t\tget: function () {\n\n\t\t\t\treturn ( clamp( 2.5 * ( this.ior - 1 ) / ( this.ior + 1 ), 0, 1 ) );\n\n\t\t\t},\n\t\t\tset: function ( reflectivity ) {\n\n\t\t\t\tthis.ior = ( 1 + 0.4 * reflectivity ) / ( 1 - 0.4 * reflectivity );\n\n\t\t\t}\n\t\t} );\n\n\t\tthis.iridescenceMap = null;\n\t\tthis.iridescenceIOR = 1.3;\n\t\tthis.iridescenceThicknessRange = [ 100, 400 ];\n\t\tthis.iridescenceThicknessMap = null;\n\n\t\tthis.sheenColor = new Color( 0x000000 );\n\t\tthis.sheenColorMap = null;\n\t\tthis.sheenRoughness = 1.0;\n\t\tthis.sheenRoughnessMap = null;\n\n\t\tthis.transmissionMap = null;\n\n\t\tthis.thickness = 0;\n\t\tthis.thicknessMap = null;\n\t\tthis.attenuationDistance = Infinity;\n\t\tthis.attenuationColor = new Color( 1, 1, 1 );\n\n\t\tthis.specularIntensity = 1.0;\n\t\tthis.specularIntensityMap = null;\n\t\tthis.specularColor = new Color( 1, 1, 1 );\n\t\tthis.specularColorMap = null;\n\n\t\tthis._anisotropy = 0;\n\t\tthis._clearcoat = 0;\n\t\tthis._iridescence = 0;\n\t\tthis._sheen = 0.0;\n\t\tthis._transmission = 0;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tget anisotropy() {\n\n\t\treturn this._anisotropy;\n\n\t}\n\n\tset anisotropy( value ) {\n\n\t\tif ( this._anisotropy > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._anisotropy = value;\n\n\t}\n\n\tget clearcoat() {\n\n\t\treturn this._clearcoat;\n\n\t}\n\n\tset clearcoat( value ) {\n\n\t\tif ( this._clearcoat > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._clearcoat = value;\n\n\t}\n\n\tget iridescence() {\n\n\t\treturn this._iridescence;\n\n\t}\n\n\tset iridescence( value ) {\n\n\t\tif ( this._iridescence > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._iridescence = value;\n\n\t}\n\n\tget sheen() {\n\n\t\treturn this._sheen;\n\n\t}\n\n\tset sheen( value ) {\n\n\t\tif ( this._sheen > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._sheen = value;\n\n\t}\n\n\tget transmission() {\n\n\t\treturn this._transmission;\n\n\t}\n\n\tset transmission( value ) {\n\n\t\tif ( this._transmission > 0 !== value > 0 ) {\n\n\t\t\tthis.version ++;\n\n\t\t}\n\n\t\tthis._transmission = value;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = {\n\n\t\t\t'STANDARD': '',\n\t\t\t'PHYSICAL': ''\n\n\t\t};\n\n\t\tthis.anisotropy = source.anisotropy;\n\t\tthis.anisotropyRotation = source.anisotropyRotation;\n\t\tthis.anisotropyMap = source.anisotropyMap;\n\n\t\tthis.clearcoat = source.clearcoat;\n\t\tthis.clearcoatMap = source.clearcoatMap;\n\t\tthis.clearcoatRoughness = source.clearcoatRoughness;\n\t\tthis.clearcoatRoughnessMap = source.clearcoatRoughnessMap;\n\t\tthis.clearcoatNormalMap = source.clearcoatNormalMap;\n\t\tthis.clearcoatNormalScale.copy( source.clearcoatNormalScale );\n\n\t\tthis.ior = source.ior;\n\n\t\tthis.iridescence = source.iridescence;\n\t\tthis.iridescenceMap = source.iridescenceMap;\n\t\tthis.iridescenceIOR = source.iridescenceIOR;\n\t\tthis.iridescenceThicknessRange = [ ...source.iridescenceThicknessRange ];\n\t\tthis.iridescenceThicknessMap = source.iridescenceThicknessMap;\n\n\t\tthis.sheen = source.sheen;\n\t\tthis.sheenColor.copy( source.sheenColor );\n\t\tthis.sheenColorMap = source.sheenColorMap;\n\t\tthis.sheenRoughness = source.sheenRoughness;\n\t\tthis.sheenRoughnessMap = source.sheenRoughnessMap;\n\n\t\tthis.transmission = source.transmission;\n\t\tthis.transmissionMap = source.transmissionMap;\n\n\t\tthis.thickness = source.thickness;\n\t\tthis.thicknessMap = source.thicknessMap;\n\t\tthis.attenuationDistance = source.attenuationDistance;\n\t\tthis.attenuationColor.copy( source.attenuationColor );\n\n\t\tthis.specularIntensity = source.specularIntensity;\n\t\tthis.specularIntensityMap = source.specularIntensityMap;\n\t\tthis.specularColor.copy( source.specularColor );\n\t\tthis.specularColorMap = source.specularColorMap;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshPhongMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshPhongMaterial = true;\n\n\t\tthis.type = 'MeshPhongMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\t\tthis.specular = new Color( 0x111111 );\n\t\tthis.shininess = 30;\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\t\tthis.specular.copy( source.specular );\n\t\tthis.shininess = source.shininess;\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshToonMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshToonMaterial = true;\n\n\t\tthis.defines = { 'TOON': '' };\n\n\t\tthis.type = 'MeshToonMaterial';\n\n\t\tthis.color = new Color( 0xffffff );\n\n\t\tthis.map = null;\n\t\tthis.gradientMap = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\t\tthis.gradientMap = source.gradientMap;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshNormalMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshNormalMaterial = true;\n\n\t\tthis.type = 'MeshNormalMaterial';\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\n\t\tthis.flatShading = false;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshLambertMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshLambertMaterial = true;\n\n\t\tthis.type = 'MeshLambertMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\n\t\tthis.map = null;\n\n\t\tthis.lightMap = null;\n\t\tthis.lightMapIntensity = 1.0;\n\n\t\tthis.aoMap = null;\n\t\tthis.aoMapIntensity = 1.0;\n\n\t\tthis.emissive = new Color( 0x000000 );\n\t\tthis.emissiveIntensity = 1.0;\n\t\tthis.emissiveMap = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.specularMap = null;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.envMap = null;\n\t\tthis.combine = MultiplyOperation;\n\t\tthis.reflectivity = 1;\n\t\tthis.refractionRatio = 0.98;\n\n\t\tthis.wireframe = false;\n\t\tthis.wireframeLinewidth = 1;\n\t\tthis.wireframeLinecap = 'round';\n\t\tthis.wireframeLinejoin = 'round';\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.map = source.map;\n\n\t\tthis.lightMap = source.lightMap;\n\t\tthis.lightMapIntensity = source.lightMapIntensity;\n\n\t\tthis.aoMap = source.aoMap;\n\t\tthis.aoMapIntensity = source.aoMapIntensity;\n\n\t\tthis.emissive.copy( source.emissive );\n\t\tthis.emissiveMap = source.emissiveMap;\n\t\tthis.emissiveIntensity = source.emissiveIntensity;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.specularMap = source.specularMap;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.envMap = source.envMap;\n\t\tthis.combine = source.combine;\n\t\tthis.reflectivity = source.reflectivity;\n\t\tthis.refractionRatio = source.refractionRatio;\n\n\t\tthis.wireframe = source.wireframe;\n\t\tthis.wireframeLinewidth = source.wireframeLinewidth;\n\t\tthis.wireframeLinecap = source.wireframeLinecap;\n\t\tthis.wireframeLinejoin = source.wireframeLinejoin;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass MeshMatcapMaterial extends Material {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isMeshMatcapMaterial = true;\n\n\t\tthis.defines = { 'MATCAP': '' };\n\n\t\tthis.type = 'MeshMatcapMaterial';\n\n\t\tthis.color = new Color( 0xffffff ); // diffuse\n\n\t\tthis.matcap = null;\n\n\t\tthis.map = null;\n\n\t\tthis.bumpMap = null;\n\t\tthis.bumpScale = 1;\n\n\t\tthis.normalMap = null;\n\t\tthis.normalMapType = TangentSpaceNormalMap;\n\t\tthis.normalScale = new Vector2( 1, 1 );\n\n\t\tthis.displacementMap = null;\n\t\tthis.displacementScale = 1;\n\t\tthis.displacementBias = 0;\n\n\t\tthis.alphaMap = null;\n\n\t\tthis.flatShading = false;\n\n\t\tthis.fog = true;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.defines = { 'MATCAP': '' };\n\n\t\tthis.color.copy( source.color );\n\n\t\tthis.matcap = source.matcap;\n\n\t\tthis.map = source.map;\n\n\t\tthis.bumpMap = source.bumpMap;\n\t\tthis.bumpScale = source.bumpScale;\n\n\t\tthis.normalMap = source.normalMap;\n\t\tthis.normalMapType = source.normalMapType;\n\t\tthis.normalScale.copy( source.normalScale );\n\n\t\tthis.displacementMap = source.displacementMap;\n\t\tthis.displacementScale = source.displacementScale;\n\t\tthis.displacementBias = source.displacementBias;\n\n\t\tthis.alphaMap = source.alphaMap;\n\n\t\tthis.flatShading = source.flatShading;\n\n\t\tthis.fog = source.fog;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass LineDashedMaterial extends LineBasicMaterial {\n\n\tconstructor( parameters ) {\n\n\t\tsuper();\n\n\t\tthis.isLineDashedMaterial = true;\n\n\t\tthis.type = 'LineDashedMaterial';\n\n\t\tthis.scale = 1;\n\t\tthis.dashSize = 3;\n\t\tthis.gapSize = 1;\n\n\t\tthis.setValues( parameters );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.scale = source.scale;\n\t\tthis.dashSize = source.dashSize;\n\t\tthis.gapSize = source.gapSize;\n\n\t\treturn this;\n\n\t}\n\n}\n\n// converts an array to a specific type\nfunction convertArray( array, type, forceClone ) {\n\n\tif ( ! array || // let 'undefined' and 'null' pass\n\t\t! forceClone && array.constructor === type ) return array;\n\n\tif ( typeof type.BYTES_PER_ELEMENT === 'number' ) {\n\n\t\treturn new type( array ); // create typed array\n\n\t}\n\n\treturn Array.prototype.slice.call( array ); // create Array\n\n}\n\nfunction isTypedArray( object ) {\n\n\treturn ArrayBuffer.isView( object ) &&\n\t\t! ( object instanceof DataView );\n\n}\n\n// returns an array by which times and values can be sorted\nfunction getKeyframeOrder( times ) {\n\n\tfunction compareTime( i, j ) {\n\n\t\treturn times[ i ] - times[ j ];\n\n\t}\n\n\tconst n = times.length;\n\tconst result = new Array( n );\n\tfor ( let i = 0; i !== n; ++ i ) result[ i ] = i;\n\n\tresult.sort( compareTime );\n\n\treturn result;\n\n}\n\n// uses the array previously returned by 'getKeyframeOrder' to sort data\nfunction sortedArray( values, stride, order ) {\n\n\tconst nValues = values.length;\n\tconst result = new values.constructor( nValues );\n\n\tfor ( let i = 0, dstOffset = 0; dstOffset !== nValues; ++ i ) {\n\n\t\tconst srcOffset = order[ i ] * stride;\n\n\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\tresult[ dstOffset ++ ] = values[ srcOffset + j ];\n\n\t\t}\n\n\t}\n\n\treturn result;\n\n}\n\n// function for parsing AOS keyframe formats\nfunction flattenJSON( jsonKeys, times, values, valuePropertyName ) {\n\n\tlet i = 1, key = jsonKeys[ 0 ];\n\n\twhile ( key !== undefined && key[ valuePropertyName ] === undefined ) {\n\n\t\tkey = jsonKeys[ i ++ ];\n\n\t}\n\n\tif ( key === undefined ) return; // no data\n\n\tlet value = key[ valuePropertyName ];\n\tif ( value === undefined ) return; // no data\n\n\tif ( Array.isArray( value ) ) {\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalues.push.apply( values, value ); // push all elements\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t} else if ( value.toArray !== undefined ) {\n\n\t\t// ...assume THREE.Math-ish\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalue.toArray( values, values.length );\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t} else {\n\n\t\t// otherwise push as-is\n\n\t\tdo {\n\n\t\t\tvalue = key[ valuePropertyName ];\n\n\t\t\tif ( value !== undefined ) {\n\n\t\t\t\ttimes.push( key.time );\n\t\t\t\tvalues.push( value );\n\n\t\t\t}\n\n\t\t\tkey = jsonKeys[ i ++ ];\n\n\t\t} while ( key !== undefined );\n\n\t}\n\n}\n\nfunction subclip( sourceClip, name, startFrame, endFrame, fps = 30 ) {\n\n\tconst clip = sourceClip.clone();\n\n\tclip.name = name;\n\n\tconst tracks = [];\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tconst track = clip.tracks[ i ];\n\t\tconst valueSize = track.getValueSize();\n\n\t\tconst times = [];\n\t\tconst values = [];\n\n\t\tfor ( let j = 0; j < track.times.length; ++ j ) {\n\n\t\t\tconst frame = track.times[ j ] * fps;\n\n\t\t\tif ( frame < startFrame || frame >= endFrame ) continue;\n\n\t\t\ttimes.push( track.times[ j ] );\n\n\t\t\tfor ( let k = 0; k < valueSize; ++ k ) {\n\n\t\t\t\tvalues.push( track.values[ j * valueSize + k ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( times.length === 0 ) continue;\n\n\t\ttrack.times = convertArray( times, track.times.constructor );\n\t\ttrack.values = convertArray( values, track.values.constructor );\n\n\t\ttracks.push( track );\n\n\t}\n\n\tclip.tracks = tracks;\n\n\t// find minimum .times value across all tracks in the trimmed clip\n\n\tlet minStartTime = Infinity;\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tif ( minStartTime > clip.tracks[ i ].times[ 0 ] ) {\n\n\t\t\tminStartTime = clip.tracks[ i ].times[ 0 ];\n\n\t\t}\n\n\t}\n\n\t// shift all tracks such that clip begins at t=0\n\n\tfor ( let i = 0; i < clip.tracks.length; ++ i ) {\n\n\t\tclip.tracks[ i ].shift( - 1 * minStartTime );\n\n\t}\n\n\tclip.resetDuration();\n\n\treturn clip;\n\n}\n\nfunction makeClipAdditive( targetClip, referenceFrame = 0, referenceClip = targetClip, fps = 30 ) {\n\n\tif ( fps <= 0 ) fps = 30;\n\n\tconst numTracks = referenceClip.tracks.length;\n\tconst referenceTime = referenceFrame / fps;\n\n\t// Make each track's values relative to the values at the reference frame\n\tfor ( let i = 0; i < numTracks; ++ i ) {\n\n\t\tconst referenceTrack = referenceClip.tracks[ i ];\n\t\tconst referenceTrackType = referenceTrack.ValueTypeName;\n\n\t\t// Skip this track if it's non-numeric\n\t\tif ( referenceTrackType === 'bool' || referenceTrackType === 'string' ) continue;\n\n\t\t// Find the track in the target clip whose name and type matches the reference track\n\t\tconst targetTrack = targetClip.tracks.find( function ( track ) {\n\n\t\t\treturn track.name === referenceTrack.name\n\t\t\t\t&& track.ValueTypeName === referenceTrackType;\n\n\t\t} );\n\n\t\tif ( targetTrack === undefined ) continue;\n\n\t\tlet referenceOffset = 0;\n\t\tconst referenceValueSize = referenceTrack.getValueSize();\n\n\t\tif ( referenceTrack.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline ) {\n\n\t\t\treferenceOffset = referenceValueSize / 3;\n\n\t\t}\n\n\t\tlet targetOffset = 0;\n\t\tconst targetValueSize = targetTrack.getValueSize();\n\n\t\tif ( targetTrack.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline ) {\n\n\t\t\ttargetOffset = targetValueSize / 3;\n\n\t\t}\n\n\t\tconst lastIndex = referenceTrack.times.length - 1;\n\t\tlet referenceValue;\n\n\t\t// Find the value to subtract out of the track\n\t\tif ( referenceTime <= referenceTrack.times[ 0 ] ) {\n\n\t\t\t// Reference frame is earlier than the first keyframe, so just use the first keyframe\n\t\t\tconst startIndex = referenceOffset;\n\t\t\tconst endIndex = referenceValueSize - referenceOffset;\n\t\t\treferenceValue = referenceTrack.values.slice( startIndex, endIndex );\n\n\t\t} else if ( referenceTime >= referenceTrack.times[ lastIndex ] ) {\n\n\t\t\t// Reference frame is after the last keyframe, so just use the last keyframe\n\t\t\tconst startIndex = lastIndex * referenceValueSize + referenceOffset;\n\t\t\tconst endIndex = startIndex + referenceValueSize - referenceOffset;\n\t\t\treferenceValue = referenceTrack.values.slice( startIndex, endIndex );\n\n\t\t} else {\n\n\t\t\t// Interpolate to the reference value\n\t\t\tconst interpolant = referenceTrack.createInterpolant();\n\t\t\tconst startIndex = referenceOffset;\n\t\t\tconst endIndex = referenceValueSize - referenceOffset;\n\t\t\tinterpolant.evaluate( referenceTime );\n\t\t\treferenceValue = interpolant.resultBuffer.slice( startIndex, endIndex );\n\n\t\t}\n\n\t\t// Conjugate the quaternion\n\t\tif ( referenceTrackType === 'quaternion' ) {\n\n\t\t\tconst referenceQuat = new Quaternion().fromArray( referenceValue ).normalize().conjugate();\n\t\t\treferenceQuat.toArray( referenceValue );\n\n\t\t}\n\n\t\t// Subtract the reference value from all of the track values\n\n\t\tconst numTimes = targetTrack.times.length;\n\t\tfor ( let j = 0; j < numTimes; ++ j ) {\n\n\t\t\tconst valueStart = j * targetValueSize + targetOffset;\n\n\t\t\tif ( referenceTrackType === 'quaternion' ) {\n\n\t\t\t\t// Multiply the conjugate for quaternion track types\n\t\t\t\tQuaternion.multiplyQuaternionsFlat(\n\t\t\t\t\ttargetTrack.values,\n\t\t\t\t\tvalueStart,\n\t\t\t\t\treferenceValue,\n\t\t\t\t\t0,\n\t\t\t\t\ttargetTrack.values,\n\t\t\t\t\tvalueStart\n\t\t\t\t);\n\n\t\t\t} else {\n\n\t\t\t\tconst valueEnd = targetValueSize - targetOffset * 2;\n\n\t\t\t\t// Subtract each value for all other numeric track types\n\t\t\t\tfor ( let k = 0; k < valueEnd; ++ k ) {\n\n\t\t\t\t\ttargetTrack.values[ valueStart + k ] -= referenceValue[ k ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\ttargetClip.blendMode = AdditiveAnimationBlendMode;\n\n\treturn targetClip;\n\n}\n\nconst AnimationUtils = {\n\tconvertArray: convertArray,\n\tisTypedArray: isTypedArray,\n\tgetKeyframeOrder: getKeyframeOrder,\n\tsortedArray: sortedArray,\n\tflattenJSON: flattenJSON,\n\tsubclip: subclip,\n\tmakeClipAdditive: makeClipAdditive\n};\n\n/**\n * Abstract base class of interpolants over parametric samples.\n *\n * The parameter domain is one dimensional, typically the time or a path\n * along a curve defined by the data.\n *\n * The sample values can have any dimensionality and derived classes may\n * apply special interpretations to the data.\n *\n * This class provides the interval seek in a Template Method, deferring\n * the actual interpolation to derived classes.\n *\n * Time complexity is O(1) for linear access crossing at most two points\n * and O(log N) for random access, where N is the number of positions.\n *\n * References:\n *\n * \t\thttp://www.oodesign.com/template-method-pattern.html\n *\n */\n\nclass Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tthis.parameterPositions = parameterPositions;\n\t\tthis._cachedIndex = 0;\n\n\t\tthis.resultBuffer = resultBuffer !== undefined ?\n\t\t\tresultBuffer : new sampleValues.constructor( sampleSize );\n\t\tthis.sampleValues = sampleValues;\n\t\tthis.valueSize = sampleSize;\n\n\t\tthis.settings = null;\n\t\tthis.DefaultSettings_ = {};\n\n\t}\n\n\tevaluate( t ) {\n\n\t\tconst pp = this.parameterPositions;\n\t\tlet i1 = this._cachedIndex,\n\t\t\tt1 = pp[ i1 ],\n\t\t\tt0 = pp[ i1 - 1 ];\n\n\t\tvalidate_interval: {\n\n\t\t\tseek: {\n\n\t\t\t\tlet right;\n\n\t\t\t\tlinear_scan: {\n\n\t\t\t\t\t//- See http://jsperf.com/comparison-to-undefined/3\n\t\t\t\t\t//- slower code:\n\t\t\t\t\t//-\n\t\t\t\t\t//- \t\t\t\tif ( t >= t1 || t1 === undefined ) {\n\t\t\t\t\tforward_scan: if ( ! ( t < t1 ) ) {\n\n\t\t\t\t\t\tfor ( let giveUpAt = i1 + 2; ; ) {\n\n\t\t\t\t\t\t\tif ( t1 === undefined ) {\n\n\t\t\t\t\t\t\t\tif ( t < t0 ) break forward_scan;\n\n\t\t\t\t\t\t\t\t// after end\n\n\t\t\t\t\t\t\t\ti1 = pp.length;\n\t\t\t\t\t\t\t\tthis._cachedIndex = i1;\n\t\t\t\t\t\t\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( i1 === giveUpAt ) break; // this loop\n\n\t\t\t\t\t\t\tt0 = t1;\n\t\t\t\t\t\t\tt1 = pp[ ++ i1 ];\n\n\t\t\t\t\t\t\tif ( t < t1 ) {\n\n\t\t\t\t\t\t\t\t// we have arrived at the sought interval\n\t\t\t\t\t\t\t\tbreak seek;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// prepare binary search on the right side of the index\n\t\t\t\t\t\tright = pp.length;\n\t\t\t\t\t\tbreak linear_scan;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t//- slower code:\n\t\t\t\t\t//-\t\t\t\t\tif ( t < t0 || t0 === undefined ) {\n\t\t\t\t\tif ( ! ( t >= t0 ) ) {\n\n\t\t\t\t\t\t// looping?\n\n\t\t\t\t\t\tconst t1global = pp[ 1 ];\n\n\t\t\t\t\t\tif ( t < t1global ) {\n\n\t\t\t\t\t\t\ti1 = 2; // + 1, using the scan for the details\n\t\t\t\t\t\t\tt0 = t1global;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// linear reverse scan\n\n\t\t\t\t\t\tfor ( let giveUpAt = i1 - 2; ; ) {\n\n\t\t\t\t\t\t\tif ( t0 === undefined ) {\n\n\t\t\t\t\t\t\t\t// before start\n\n\t\t\t\t\t\t\t\tthis._cachedIndex = 0;\n\t\t\t\t\t\t\t\treturn this.copySampleValue_( 0 );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif ( i1 === giveUpAt ) break; // this loop\n\n\t\t\t\t\t\t\tt1 = t0;\n\t\t\t\t\t\t\tt0 = pp[ -- i1 - 1 ];\n\n\t\t\t\t\t\t\tif ( t >= t0 ) {\n\n\t\t\t\t\t\t\t\t// we have arrived at the sought interval\n\t\t\t\t\t\t\t\tbreak seek;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// prepare binary search on the left side of the index\n\t\t\t\t\t\tright = i1;\n\t\t\t\t\t\ti1 = 0;\n\t\t\t\t\t\tbreak linear_scan;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// the interval is valid\n\n\t\t\t\t\tbreak validate_interval;\n\n\t\t\t\t} // linear scan\n\n\t\t\t\t// binary search\n\n\t\t\t\twhile ( i1 < right ) {\n\n\t\t\t\t\tconst mid = ( i1 + right ) >>> 1;\n\n\t\t\t\t\tif ( t < pp[ mid ] ) {\n\n\t\t\t\t\t\tright = mid;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ti1 = mid + 1;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tt1 = pp[ i1 ];\n\t\t\t\tt0 = pp[ i1 - 1 ];\n\n\t\t\t\t// check boundary cases, again\n\n\t\t\t\tif ( t0 === undefined ) {\n\n\t\t\t\t\tthis._cachedIndex = 0;\n\t\t\t\t\treturn this.copySampleValue_( 0 );\n\n\t\t\t\t}\n\n\t\t\t\tif ( t1 === undefined ) {\n\n\t\t\t\t\ti1 = pp.length;\n\t\t\t\t\tthis._cachedIndex = i1;\n\t\t\t\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t\t\t\t}\n\n\t\t\t} // seek\n\n\t\t\tthis._cachedIndex = i1;\n\n\t\t\tthis.intervalChanged_( i1, t0, t1 );\n\n\t\t} // validate_interval\n\n\t\treturn this.interpolate_( i1, t0, t, t1 );\n\n\t}\n\n\tgetSettings_() {\n\n\t\treturn this.settings || this.DefaultSettings_;\n\n\t}\n\n\tcopySampleValue_( index ) {\n\n\t\t// copies a sample value to the result buffer\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = index * stride;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] = values[ offset + i ];\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n\t// Template methods for derived classes:\n\n\tinterpolate_( /* i1, t0, t, t1 */ ) {\n\n\t\tthrow new Error( 'call to abstract method' );\n\t\t// implementations shall return this.resultBuffer\n\n\t}\n\n\tintervalChanged_( /* i1, t0, t1 */ ) {\n\n\t\t// empty\n\n\t}\n\n}\n\n/**\n * Fast and simple cubic spline interpolant.\n *\n * It was derived from a Hermitian construction setting the first derivative\n * at each sample position to the linear slope between neighboring positions\n * over their parameter interval.\n */\n\nclass CubicInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t\tthis._weightPrev = - 0;\n\t\tthis._offsetPrev = - 0;\n\t\tthis._weightNext = - 0;\n\t\tthis._offsetNext = - 0;\n\n\t\tthis.DefaultSettings_ = {\n\n\t\t\tendingStart: ZeroCurvatureEnding,\n\t\t\tendingEnd: ZeroCurvatureEnding\n\n\t\t};\n\n\t}\n\n\tintervalChanged_( i1, t0, t1 ) {\n\n\t\tconst pp = this.parameterPositions;\n\t\tlet iPrev = i1 - 2,\n\t\t\tiNext = i1 + 1,\n\n\t\t\ttPrev = pp[ iPrev ],\n\t\t\ttNext = pp[ iNext ];\n\n\t\tif ( tPrev === undefined ) {\n\n\t\t\tswitch ( this.getSettings_().endingStart ) {\n\n\t\t\t\tcase ZeroSlopeEnding:\n\n\t\t\t\t\t// f'(t0) = 0\n\t\t\t\t\tiPrev = i1;\n\t\t\t\t\ttPrev = 2 * t0 - t1;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase WrapAroundEnding:\n\n\t\t\t\t\t// use the other end of the curve\n\t\t\t\t\tiPrev = pp.length - 2;\n\t\t\t\t\ttPrev = t0 + pp[ iPrev ] - pp[ iPrev + 1 ];\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault: // ZeroCurvatureEnding\n\n\t\t\t\t\t// f''(t0) = 0 a.k.a. Natural Spline\n\t\t\t\t\tiPrev = i1;\n\t\t\t\t\ttPrev = t1;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( tNext === undefined ) {\n\n\t\t\tswitch ( this.getSettings_().endingEnd ) {\n\n\t\t\t\tcase ZeroSlopeEnding:\n\n\t\t\t\t\t// f'(tN) = 0\n\t\t\t\t\tiNext = i1;\n\t\t\t\t\ttNext = 2 * t1 - t0;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase WrapAroundEnding:\n\n\t\t\t\t\t// use the other end of the curve\n\t\t\t\t\tiNext = 1;\n\t\t\t\t\ttNext = t1 + pp[ 1 ] - pp[ 0 ];\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault: // ZeroCurvatureEnding\n\n\t\t\t\t\t// f''(tN) = 0, a.k.a. Natural Spline\n\t\t\t\t\tiNext = i1 - 1;\n\t\t\t\t\ttNext = t0;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst halfDt = ( t1 - t0 ) * 0.5,\n\t\t\tstride = this.valueSize;\n\n\t\tthis._weightPrev = halfDt / ( t0 - tPrev );\n\t\tthis._weightNext = halfDt / ( tNext - t1 );\n\t\tthis._offsetPrev = iPrev * stride;\n\t\tthis._offsetNext = iNext * stride;\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\to1 = i1 * stride,\t\to0 = o1 - stride,\n\t\t\toP = this._offsetPrev, \toN = this._offsetNext,\n\t\t\twP = this._weightPrev,\twN = this._weightNext,\n\n\t\t\tp = ( t - t0 ) / ( t1 - t0 ),\n\t\t\tpp = p * p,\n\t\t\tppp = pp * p;\n\n\t\t// evaluate polynomials\n\n\t\tconst sP = - wP * ppp + 2 * wP * pp - wP * p;\n\t\tconst s0 = ( 1 + wP ) * ppp + ( - 1.5 - 2 * wP ) * pp + ( - 0.5 + wP ) * p + 1;\n\t\tconst s1 = ( - 1 - wN ) * ppp + ( 1.5 + wN ) * pp + 0.5 * p;\n\t\tconst sN = wN * ppp - wN * pp;\n\n\t\t// combine data linearly\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] =\n\t\t\t\t\tsP * values[ oP + i ] +\n\t\t\t\t\ts0 * values[ o0 + i ] +\n\t\t\t\t\ts1 * values[ o1 + i ] +\n\t\t\t\t\tsN * values[ oN + i ];\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\nclass LinearInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\toffset1 = i1 * stride,\n\t\t\toffset0 = offset1 - stride,\n\n\t\t\tweight1 = ( t - t0 ) / ( t1 - t0 ),\n\t\t\tweight0 = 1 - weight1;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tresult[ i ] =\n\t\t\t\t\tvalues[ offset0 + i ] * weight0 +\n\t\t\t\t\tvalues[ offset1 + i ] * weight1;\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\n/**\n *\n * Interpolant that evaluates to the sample value at the position preceding\n * the parameter.\n */\n\nclass DiscreteInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1 /*, t0, t, t1 */ ) {\n\n\t\treturn this.copySampleValue_( i1 - 1 );\n\n\t}\n\n}\n\nclass KeyframeTrack {\n\n\tconstructor( name, times, values, interpolation ) {\n\n\t\tif ( name === undefined ) throw new Error( 'THREE.KeyframeTrack: track name is undefined' );\n\t\tif ( times === undefined || times.length === 0 ) throw new Error( 'THREE.KeyframeTrack: no keyframes in track named ' + name );\n\n\t\tthis.name = name;\n\n\t\tthis.times = convertArray( times, this.TimeBufferType );\n\t\tthis.values = convertArray( values, this.ValueBufferType );\n\n\t\tthis.setInterpolation( interpolation || this.DefaultInterpolation );\n\n\t}\n\n\t// Serialization (in static context, because of constructor invocation\n\t// and automatic invocation of .toJSON):\n\n\tstatic toJSON( track ) {\n\n\t\tconst trackType = track.constructor;\n\n\t\tlet json;\n\n\t\t// derived classes can define a static toJSON method\n\t\tif ( trackType.toJSON !== this.toJSON ) {\n\n\t\t\tjson = trackType.toJSON( track );\n\n\t\t} else {\n\n\t\t\t// by default, we assume the data can be serialized as-is\n\t\t\tjson = {\n\n\t\t\t\t'name': track.name,\n\t\t\t\t'times': convertArray( track.times, Array ),\n\t\t\t\t'values': convertArray( track.values, Array )\n\n\t\t\t};\n\n\t\t\tconst interpolation = track.getInterpolation();\n\n\t\t\tif ( interpolation !== track.DefaultInterpolation ) {\n\n\t\t\t\tjson.interpolation = interpolation;\n\n\t\t\t}\n\n\t\t}\n\n\t\tjson.type = track.ValueTypeName; // mandatory\n\n\t\treturn json;\n\n\t}\n\n\tInterpolantFactoryMethodDiscrete( result ) {\n\n\t\treturn new DiscreteInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tInterpolantFactoryMethodLinear( result ) {\n\n\t\treturn new LinearInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tInterpolantFactoryMethodSmooth( result ) {\n\n\t\treturn new CubicInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n\tsetInterpolation( interpolation ) {\n\n\t\tlet factoryMethod;\n\n\t\tswitch ( interpolation ) {\n\n\t\t\tcase InterpolateDiscrete:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodDiscrete;\n\n\t\t\t\tbreak;\n\n\t\t\tcase InterpolateLinear:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodLinear;\n\n\t\t\t\tbreak;\n\n\t\t\tcase InterpolateSmooth:\n\n\t\t\t\tfactoryMethod = this.InterpolantFactoryMethodSmooth;\n\n\t\t\t\tbreak;\n\n\t\t}\n\n\t\tif ( factoryMethod === undefined ) {\n\n\t\t\tconst message = 'unsupported interpolation for ' +\n\t\t\t\tthis.ValueTypeName + ' keyframe track named ' + this.name;\n\n\t\t\tif ( this.createInterpolant === undefined ) {\n\n\t\t\t\t// fall back to default, unless the default itself is messed up\n\t\t\t\tif ( interpolation !== this.DefaultInterpolation ) {\n\n\t\t\t\t\tthis.setInterpolation( this.DefaultInterpolation );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new Error( message ); // fatal, in this case\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tconsole.warn( 'THREE.KeyframeTrack:', message );\n\t\t\treturn this;\n\n\t\t}\n\n\t\tthis.createInterpolant = factoryMethod;\n\n\t\treturn this;\n\n\t}\n\n\tgetInterpolation() {\n\n\t\tswitch ( this.createInterpolant ) {\n\n\t\t\tcase this.InterpolantFactoryMethodDiscrete:\n\n\t\t\t\treturn InterpolateDiscrete;\n\n\t\t\tcase this.InterpolantFactoryMethodLinear:\n\n\t\t\t\treturn InterpolateLinear;\n\n\t\t\tcase this.InterpolantFactoryMethodSmooth:\n\n\t\t\t\treturn InterpolateSmooth;\n\n\t\t}\n\n\t}\n\n\tgetValueSize() {\n\n\t\treturn this.values.length / this.times.length;\n\n\t}\n\n\t// move all keyframes either forwards or backwards in time\n\tshift( timeOffset ) {\n\n\t\tif ( timeOffset !== 0.0 ) {\n\n\t\t\tconst times = this.times;\n\n\t\t\tfor ( let i = 0, n = times.length; i !== n; ++ i ) {\n\n\t\t\t\ttimes[ i ] += timeOffset;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// scale all keyframe times by a factor (useful for frame <-> seconds conversions)\n\tscale( timeScale ) {\n\n\t\tif ( timeScale !== 1.0 ) {\n\n\t\t\tconst times = this.times;\n\n\t\t\tfor ( let i = 0, n = times.length; i !== n; ++ i ) {\n\n\t\t\t\ttimes[ i ] *= timeScale;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// removes keyframes before and after animation without changing any values within the range [startTime, endTime].\n\t// IMPORTANT: We do not shift around keys to the start of the track time, because for interpolated keys this will change their values\n\ttrim( startTime, endTime ) {\n\n\t\tconst times = this.times,\n\t\t\tnKeys = times.length;\n\n\t\tlet from = 0,\n\t\t\tto = nKeys - 1;\n\n\t\twhile ( from !== nKeys && times[ from ] < startTime ) {\n\n\t\t\t++ from;\n\n\t\t}\n\n\t\twhile ( to !== - 1 && times[ to ] > endTime ) {\n\n\t\t\t-- to;\n\n\t\t}\n\n\t\t++ to; // inclusive -> exclusive bound\n\n\t\tif ( from !== 0 || to !== nKeys ) {\n\n\t\t\t// empty tracks are forbidden, so keep at least one keyframe\n\t\t\tif ( from >= to ) {\n\n\t\t\t\tto = Math.max( to, 1 );\n\t\t\t\tfrom = to - 1;\n\n\t\t\t}\n\n\t\t\tconst stride = this.getValueSize();\n\t\t\tthis.times = times.slice( from, to );\n\t\t\tthis.values = this.values.slice( from * stride, to * stride );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// ensure we do not get a GarbageInGarbageOut situation, make sure tracks are at least minimally viable\n\tvalidate() {\n\n\t\tlet valid = true;\n\n\t\tconst valueSize = this.getValueSize();\n\t\tif ( valueSize - Math.floor( valueSize ) !== 0 ) {\n\n\t\t\tconsole.error( 'THREE.KeyframeTrack: Invalid value size in track.', this );\n\t\t\tvalid = false;\n\n\t\t}\n\n\t\tconst times = this.times,\n\t\t\tvalues = this.values,\n\n\t\t\tnKeys = times.length;\n\n\t\tif ( nKeys === 0 ) {\n\n\t\t\tconsole.error( 'THREE.KeyframeTrack: Track is empty.', this );\n\t\t\tvalid = false;\n\n\t\t}\n\n\t\tlet prevTime = null;\n\n\t\tfor ( let i = 0; i !== nKeys; i ++ ) {\n\n\t\t\tconst currTime = times[ i ];\n\n\t\t\tif ( typeof currTime === 'number' && isNaN( currTime ) ) {\n\n\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Time is not a valid number.', this, i, currTime );\n\t\t\t\tvalid = false;\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tif ( prevTime !== null && prevTime > currTime ) {\n\n\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Out of order keys.', this, i, currTime, prevTime );\n\t\t\t\tvalid = false;\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tprevTime = currTime;\n\n\t\t}\n\n\t\tif ( values !== undefined ) {\n\n\t\t\tif ( isTypedArray( values ) ) {\n\n\t\t\t\tfor ( let i = 0, n = values.length; i !== n; ++ i ) {\n\n\t\t\t\t\tconst value = values[ i ];\n\n\t\t\t\t\tif ( isNaN( value ) ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.KeyframeTrack: Value is not a valid number.', this, i, value );\n\t\t\t\t\t\tvalid = false;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn valid;\n\n\t}\n\n\t// removes equivalent sequential keys as common in morph target sequences\n\t// (0,0,0,0,1,1,1,0,0,0,0,0,0,0) --> (0,0,1,1,0,0)\n\toptimize() {\n\n\t\t// times or values may be shared with other tracks, so overwriting is unsafe\n\t\tconst times = this.times.slice(),\n\t\t\tvalues = this.values.slice(),\n\t\t\tstride = this.getValueSize(),\n\n\t\t\tsmoothInterpolation = this.getInterpolation() === InterpolateSmooth,\n\n\t\t\tlastIndex = times.length - 1;\n\n\t\tlet writeIndex = 1;\n\n\t\tfor ( let i = 1; i < lastIndex; ++ i ) {\n\n\t\t\tlet keep = false;\n\n\t\t\tconst time = times[ i ];\n\t\t\tconst timeNext = times[ i + 1 ];\n\n\t\t\t// remove adjacent keyframes scheduled at the same time\n\n\t\t\tif ( time !== timeNext && ( i !== 1 || time !== times[ 0 ] ) ) {\n\n\t\t\t\tif ( ! smoothInterpolation ) {\n\n\t\t\t\t\t// remove unnecessary keyframes same as their neighbors\n\n\t\t\t\t\tconst offset = i * stride,\n\t\t\t\t\t\toffsetP = offset - stride,\n\t\t\t\t\t\toffsetN = offset + stride;\n\n\t\t\t\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\t\t\t\tconst value = values[ offset + j ];\n\n\t\t\t\t\t\tif ( value !== values[ offsetP + j ] ||\n\t\t\t\t\t\t\tvalue !== values[ offsetN + j ] ) {\n\n\t\t\t\t\t\t\tkeep = true;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tkeep = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// in-place compaction\n\n\t\t\tif ( keep ) {\n\n\t\t\t\tif ( i !== writeIndex ) {\n\n\t\t\t\t\ttimes[ writeIndex ] = times[ i ];\n\n\t\t\t\t\tconst readOffset = i * stride,\n\t\t\t\t\t\twriteOffset = writeIndex * stride;\n\n\t\t\t\t\tfor ( let j = 0; j !== stride; ++ j ) {\n\n\t\t\t\t\t\tvalues[ writeOffset + j ] = values[ readOffset + j ];\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t++ writeIndex;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// flush last keyframe (compaction looks ahead)\n\n\t\tif ( lastIndex > 0 ) {\n\n\t\t\ttimes[ writeIndex ] = times[ lastIndex ];\n\n\t\t\tfor ( let readOffset = lastIndex * stride, writeOffset = writeIndex * stride, j = 0; j !== stride; ++ j ) {\n\n\t\t\t\tvalues[ writeOffset + j ] = values[ readOffset + j ];\n\n\t\t\t}\n\n\t\t\t++ writeIndex;\n\n\t\t}\n\n\t\tif ( writeIndex !== times.length ) {\n\n\t\t\tthis.times = times.slice( 0, writeIndex );\n\t\t\tthis.values = values.slice( 0, writeIndex * stride );\n\n\t\t} else {\n\n\t\t\tthis.times = times;\n\t\t\tthis.values = values;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\tconst times = this.times.slice();\n\t\tconst values = this.values.slice();\n\n\t\tconst TypedKeyframeTrack = this.constructor;\n\t\tconst track = new TypedKeyframeTrack( this.name, times, values );\n\n\t\t// Interpolant argument to constructor is not saved, so copy the factory method directly.\n\t\ttrack.createInterpolant = this.createInterpolant;\n\n\t\treturn track;\n\n\t}\n\n}\n\nKeyframeTrack.prototype.TimeBufferType = Float32Array;\nKeyframeTrack.prototype.ValueBufferType = Float32Array;\nKeyframeTrack.prototype.DefaultInterpolation = InterpolateLinear;\n\n/**\n * A Track of Boolean keyframe values.\n */\nclass BooleanKeyframeTrack extends KeyframeTrack {}\n\nBooleanKeyframeTrack.prototype.ValueTypeName = 'bool';\nBooleanKeyframeTrack.prototype.ValueBufferType = Array;\nBooleanKeyframeTrack.prototype.DefaultInterpolation = InterpolateDiscrete;\nBooleanKeyframeTrack.prototype.InterpolantFactoryMethodLinear = undefined;\nBooleanKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track of keyframe values that represent color.\n */\nclass ColorKeyframeTrack extends KeyframeTrack {}\n\nColorKeyframeTrack.prototype.ValueTypeName = 'color';\n\n/**\n * A Track of numeric keyframe values.\n */\nclass NumberKeyframeTrack extends KeyframeTrack {}\n\nNumberKeyframeTrack.prototype.ValueTypeName = 'number';\n\n/**\n * Spherical linear unit quaternion interpolant.\n */\n\nclass QuaternionLinearInterpolant extends Interpolant {\n\n\tconstructor( parameterPositions, sampleValues, sampleSize, resultBuffer ) {\n\n\t\tsuper( parameterPositions, sampleValues, sampleSize, resultBuffer );\n\n\t}\n\n\tinterpolate_( i1, t0, t, t1 ) {\n\n\t\tconst result = this.resultBuffer,\n\t\t\tvalues = this.sampleValues,\n\t\t\tstride = this.valueSize,\n\n\t\t\talpha = ( t - t0 ) / ( t1 - t0 );\n\n\t\tlet offset = i1 * stride;\n\n\t\tfor ( let end = offset + stride; offset !== end; offset += 4 ) {\n\n\t\t\tQuaternion.slerpFlat( result, 0, values, offset - stride, values, offset, alpha );\n\n\t\t}\n\n\t\treturn result;\n\n\t}\n\n}\n\n/**\n * A Track of quaternion keyframe values.\n */\nclass QuaternionKeyframeTrack extends KeyframeTrack {\n\n\tInterpolantFactoryMethodLinear( result ) {\n\n\t\treturn new QuaternionLinearInterpolant( this.times, this.values, this.getValueSize(), result );\n\n\t}\n\n}\n\nQuaternionKeyframeTrack.prototype.ValueTypeName = 'quaternion';\n// ValueBufferType is inherited\nQuaternionKeyframeTrack.prototype.DefaultInterpolation = InterpolateLinear;\nQuaternionKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track that interpolates Strings\n */\nclass StringKeyframeTrack extends KeyframeTrack {}\n\nStringKeyframeTrack.prototype.ValueTypeName = 'string';\nStringKeyframeTrack.prototype.ValueBufferType = Array;\nStringKeyframeTrack.prototype.DefaultInterpolation = InterpolateDiscrete;\nStringKeyframeTrack.prototype.InterpolantFactoryMethodLinear = undefined;\nStringKeyframeTrack.prototype.InterpolantFactoryMethodSmooth = undefined;\n\n/**\n * A Track of vectored keyframe values.\n */\nclass VectorKeyframeTrack extends KeyframeTrack {}\n\nVectorKeyframeTrack.prototype.ValueTypeName = 'vector';\n\nclass AnimationClip {\n\n\tconstructor( name, duration = - 1, tracks, blendMode = NormalAnimationBlendMode ) {\n\n\t\tthis.name = name;\n\t\tthis.tracks = tracks;\n\t\tthis.duration = duration;\n\t\tthis.blendMode = blendMode;\n\n\t\tthis.uuid = generateUUID();\n\n\t\t// this means it should figure out its duration by scanning the tracks\n\t\tif ( this.duration < 0 ) {\n\n\t\t\tthis.resetDuration();\n\n\t\t}\n\n\t}\n\n\n\tstatic parse( json ) {\n\n\t\tconst tracks = [],\n\t\t\tjsonTracks = json.tracks,\n\t\t\tframeTime = 1.0 / ( json.fps || 1.0 );\n\n\t\tfor ( let i = 0, n = jsonTracks.length; i !== n; ++ i ) {\n\n\t\t\ttracks.push( parseKeyframeTrack( jsonTracks[ i ] ).scale( frameTime ) );\n\n\t\t}\n\n\t\tconst clip = new this( json.name, json.duration, tracks, json.blendMode );\n\t\tclip.uuid = json.uuid;\n\n\t\treturn clip;\n\n\t}\n\n\tstatic toJSON( clip ) {\n\n\t\tconst tracks = [],\n\t\t\tclipTracks = clip.tracks;\n\n\t\tconst json = {\n\n\t\t\t'name': clip.name,\n\t\t\t'duration': clip.duration,\n\t\t\t'tracks': tracks,\n\t\t\t'uuid': clip.uuid,\n\t\t\t'blendMode': clip.blendMode\n\n\t\t};\n\n\t\tfor ( let i = 0, n = clipTracks.length; i !== n; ++ i ) {\n\n\t\t\ttracks.push( KeyframeTrack.toJSON( clipTracks[ i ] ) );\n\n\t\t}\n\n\t\treturn json;\n\n\t}\n\n\tstatic CreateFromMorphTargetSequence( name, morphTargetSequence, fps, noLoop ) {\n\n\t\tconst numMorphTargets = morphTargetSequence.length;\n\t\tconst tracks = [];\n\n\t\tfor ( let i = 0; i < numMorphTargets; i ++ ) {\n\n\t\t\tlet times = [];\n\t\t\tlet values = [];\n\n\t\t\ttimes.push(\n\t\t\t\t( i + numMorphTargets - 1 ) % numMorphTargets,\n\t\t\t\ti,\n\t\t\t\t( i + 1 ) % numMorphTargets );\n\n\t\t\tvalues.push( 0, 1, 0 );\n\n\t\t\tconst order = getKeyframeOrder( times );\n\t\t\ttimes = sortedArray( times, 1, order );\n\t\t\tvalues = sortedArray( values, 1, order );\n\n\t\t\t// if there is a key at the first frame, duplicate it as the\n\t\t\t// last frame as well for perfect loop.\n\t\t\tif ( ! noLoop && times[ 0 ] === 0 ) {\n\n\t\t\t\ttimes.push( numMorphTargets );\n\t\t\t\tvalues.push( values[ 0 ] );\n\n\t\t\t}\n\n\t\t\ttracks.push(\n\t\t\t\tnew NumberKeyframeTrack(\n\t\t\t\t\t'.morphTargetInfluences[' + morphTargetSequence[ i ].name + ']',\n\t\t\t\t\ttimes, values\n\t\t\t\t).scale( 1.0 / fps ) );\n\n\t\t}\n\n\t\treturn new this( name, - 1, tracks );\n\n\t}\n\n\tstatic findByName( objectOrClipArray, name ) {\n\n\t\tlet clipArray = objectOrClipArray;\n\n\t\tif ( ! Array.isArray( objectOrClipArray ) ) {\n\n\t\t\tconst o = objectOrClipArray;\n\t\t\tclipArray = o.geometry && o.geometry.animations || o.animations;\n\n\t\t}\n\n\t\tfor ( let i = 0; i < clipArray.length; i ++ ) {\n\n\t\t\tif ( clipArray[ i ].name === name ) {\n\n\t\t\t\treturn clipArray[ i ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\tstatic CreateClipsFromMorphTargetSequences( morphTargets, fps, noLoop ) {\n\n\t\tconst animationToMorphTargets = {};\n\n\t\t// tested with https://regex101.com/ on trick sequences\n\t\t// such flamingo_flyA_003, flamingo_run1_003, crdeath0059\n\t\tconst pattern = /^([\\w-]*?)([\\d]+)$/;\n\n\t\t// sort morph target names into animation groups based\n\t\t// patterns like Walk_001, Walk_002, Run_001, Run_002\n\t\tfor ( let i = 0, il = morphTargets.length; i < il; i ++ ) {\n\n\t\t\tconst morphTarget = morphTargets[ i ];\n\t\t\tconst parts = morphTarget.name.match( pattern );\n\n\t\t\tif ( parts && parts.length > 1 ) {\n\n\t\t\t\tconst name = parts[ 1 ];\n\n\t\t\t\tlet animationMorphTargets = animationToMorphTargets[ name ];\n\n\t\t\t\tif ( ! animationMorphTargets ) {\n\n\t\t\t\t\tanimationToMorphTargets[ name ] = animationMorphTargets = [];\n\n\t\t\t\t}\n\n\t\t\t\tanimationMorphTargets.push( morphTarget );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst clips = [];\n\n\t\tfor ( const name in animationToMorphTargets ) {\n\n\t\t\tclips.push( this.CreateFromMorphTargetSequence( name, animationToMorphTargets[ name ], fps, noLoop ) );\n\n\t\t}\n\n\t\treturn clips;\n\n\t}\n\n\t// parse the animation.hierarchy format\n\tstatic parseAnimation( animation, bones ) {\n\n\t\tif ( ! animation ) {\n\n\t\t\tconsole.error( 'THREE.AnimationClip: No animation in JSONLoader data.' );\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst addNonemptyTrack = function ( trackType, trackName, animationKeys, propertyName, destTracks ) {\n\n\t\t\t// only return track if there are actually keys.\n\t\t\tif ( animationKeys.length !== 0 ) {\n\n\t\t\t\tconst times = [];\n\t\t\t\tconst values = [];\n\n\t\t\t\tflattenJSON( animationKeys, times, values, propertyName );\n\n\t\t\t\t// empty keys are filtered out, so check again\n\t\t\t\tif ( times.length !== 0 ) {\n\n\t\t\t\t\tdestTracks.push( new trackType( trackName, times, values ) );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tconst tracks = [];\n\n\t\tconst clipName = animation.name || 'default';\n\t\tconst fps = animation.fps || 30;\n\t\tconst blendMode = animation.blendMode;\n\n\t\t// automatic length determination in AnimationClip.\n\t\tlet duration = animation.length || - 1;\n\n\t\tconst hierarchyTracks = animation.hierarchy || [];\n\n\t\tfor ( let h = 0; h < hierarchyTracks.length; h ++ ) {\n\n\t\t\tconst animationKeys = hierarchyTracks[ h ].keys;\n\n\t\t\t// skip empty tracks\n\t\t\tif ( ! animationKeys || animationKeys.length === 0 ) continue;\n\n\t\t\t// process morph targets\n\t\t\tif ( animationKeys[ 0 ].morphTargets ) {\n\n\t\t\t\t// figure out all morph targets used in this track\n\t\t\t\tconst morphTargetNames = {};\n\n\t\t\t\tlet k;\n\n\t\t\t\tfor ( k = 0; k < animationKeys.length; k ++ ) {\n\n\t\t\t\t\tif ( animationKeys[ k ].morphTargets ) {\n\n\t\t\t\t\t\tfor ( let m = 0; m < animationKeys[ k ].morphTargets.length; m ++ ) {\n\n\t\t\t\t\t\t\tmorphTargetNames[ animationKeys[ k ].morphTargets[ m ] ] = - 1;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// create a track for each morph target with all zero\n\t\t\t\t// morphTargetInfluences except for the keys in which\n\t\t\t\t// the morphTarget is named.\n\t\t\t\tfor ( const morphTargetName in morphTargetNames ) {\n\n\t\t\t\t\tconst times = [];\n\t\t\t\t\tconst values = [];\n\n\t\t\t\t\tfor ( let m = 0; m !== animationKeys[ k ].morphTargets.length; ++ m ) {\n\n\t\t\t\t\t\tconst animationKey = animationKeys[ k ];\n\n\t\t\t\t\t\ttimes.push( animationKey.time );\n\t\t\t\t\t\tvalues.push( ( animationKey.morphTarget === morphTargetName ) ? 1 : 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttracks.push( new NumberKeyframeTrack( '.morphTargetInfluence[' + morphTargetName + ']', times, values ) );\n\n\t\t\t\t}\n\n\t\t\t\tduration = morphTargetNames.length * fps;\n\n\t\t\t} else {\n\n\t\t\t\t// ...assume skeletal animation\n\n\t\t\t\tconst boneName = '.bones[' + bones[ h ].name + ']';\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tVectorKeyframeTrack, boneName + '.position',\n\t\t\t\t\tanimationKeys, 'pos', tracks );\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tQuaternionKeyframeTrack, boneName + '.quaternion',\n\t\t\t\t\tanimationKeys, 'rot', tracks );\n\n\t\t\t\taddNonemptyTrack(\n\t\t\t\t\tVectorKeyframeTrack, boneName + '.scale',\n\t\t\t\t\tanimationKeys, 'scl', tracks );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( tracks.length === 0 ) {\n\n\t\t\treturn null;\n\n\t\t}\n\n\t\tconst clip = new this( clipName, duration, tracks, blendMode );\n\n\t\treturn clip;\n\n\t}\n\n\tresetDuration() {\n\n\t\tconst tracks = this.tracks;\n\t\tlet duration = 0;\n\n\t\tfor ( let i = 0, n = tracks.length; i !== n; ++ i ) {\n\n\t\t\tconst track = this.tracks[ i ];\n\n\t\t\tduration = Math.max( duration, track.times[ track.times.length - 1 ] );\n\n\t\t}\n\n\t\tthis.duration = duration;\n\n\t\treturn this;\n\n\t}\n\n\ttrim() {\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tthis.tracks[ i ].trim( 0, this.duration );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tvalidate() {\n\n\t\tlet valid = true;\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tvalid = valid && this.tracks[ i ].validate();\n\n\t\t}\n\n\t\treturn valid;\n\n\t}\n\n\toptimize() {\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\tthis.tracks[ i ].optimize();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\tconst tracks = [];\n\n\t\tfor ( let i = 0; i < this.tracks.length; i ++ ) {\n\n\t\t\ttracks.push( this.tracks[ i ].clone() );\n\n\t\t}\n\n\t\treturn new this.constructor( this.name, this.duration, tracks, this.blendMode );\n\n\t}\n\n\ttoJSON() {\n\n\t\treturn this.constructor.toJSON( this );\n\n\t}\n\n}\n\nfunction getTrackTypeForValueTypeName( typeName ) {\n\n\tswitch ( typeName.toLowerCase() ) {\n\n\t\tcase 'scalar':\n\t\tcase 'double':\n\t\tcase 'float':\n\t\tcase 'number':\n\t\tcase 'integer':\n\n\t\t\treturn NumberKeyframeTrack;\n\n\t\tcase 'vector':\n\t\tcase 'vector2':\n\t\tcase 'vector3':\n\t\tcase 'vector4':\n\n\t\t\treturn VectorKeyframeTrack;\n\n\t\tcase 'color':\n\n\t\t\treturn ColorKeyframeTrack;\n\n\t\tcase 'quaternion':\n\n\t\t\treturn QuaternionKeyframeTrack;\n\n\t\tcase 'bool':\n\t\tcase 'boolean':\n\n\t\t\treturn BooleanKeyframeTrack;\n\n\t\tcase 'string':\n\n\t\t\treturn StringKeyframeTrack;\n\n\t}\n\n\tthrow new Error( 'THREE.KeyframeTrack: Unsupported typeName: ' + typeName );\n\n}\n\nfunction parseKeyframeTrack( json ) {\n\n\tif ( json.type === undefined ) {\n\n\t\tthrow new Error( 'THREE.KeyframeTrack: track type undefined, can not parse' );\n\n\t}\n\n\tconst trackType = getTrackTypeForValueTypeName( json.type );\n\n\tif ( json.times === undefined ) {\n\n\t\tconst times = [], values = [];\n\n\t\tflattenJSON( json.keys, times, values, 'value' );\n\n\t\tjson.times = times;\n\t\tjson.values = values;\n\n\t}\n\n\t// derived classes can define a static parse method\n\tif ( trackType.parse !== undefined ) {\n\n\t\treturn trackType.parse( json );\n\n\t} else {\n\n\t\t// by default, we assume a constructor compatible with the base\n\t\treturn new trackType( json.name, json.times, json.values, json.interpolation );\n\n\t}\n\n}\n\nconst Cache = {\n\n\tenabled: false,\n\n\tfiles: {},\n\n\tadd: function ( key, file ) {\n\n\t\tif ( this.enabled === false ) return;\n\n\t\t// console.log( 'THREE.Cache', 'Adding key:', key );\n\n\t\tthis.files[ key ] = file;\n\n\t},\n\n\tget: function ( key ) {\n\n\t\tif ( this.enabled === false ) return;\n\n\t\t// console.log( 'THREE.Cache', 'Checking key:', key );\n\n\t\treturn this.files[ key ];\n\n\t},\n\n\tremove: function ( key ) {\n\n\t\tdelete this.files[ key ];\n\n\t},\n\n\tclear: function () {\n\n\t\tthis.files = {};\n\n\t}\n\n};\n\nclass LoadingManager {\n\n\tconstructor( onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tlet isLoading = false;\n\t\tlet itemsLoaded = 0;\n\t\tlet itemsTotal = 0;\n\t\tlet urlModifier = undefined;\n\t\tconst handlers = [];\n\n\t\t// Refer to #5689 for the reason why we don't set .onStart\n\t\t// in the constructor\n\n\t\tthis.onStart = undefined;\n\t\tthis.onLoad = onLoad;\n\t\tthis.onProgress = onProgress;\n\t\tthis.onError = onError;\n\n\t\tthis.itemStart = function ( url ) {\n\n\t\t\titemsTotal ++;\n\n\t\t\tif ( isLoading === false ) {\n\n\t\t\t\tif ( scope.onStart !== undefined ) {\n\n\t\t\t\t\tscope.onStart( url, itemsLoaded, itemsTotal );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tisLoading = true;\n\n\t\t};\n\n\t\tthis.itemEnd = function ( url ) {\n\n\t\t\titemsLoaded ++;\n\n\t\t\tif ( scope.onProgress !== undefined ) {\n\n\t\t\t\tscope.onProgress( url, itemsLoaded, itemsTotal );\n\n\t\t\t}\n\n\t\t\tif ( itemsLoaded === itemsTotal ) {\n\n\t\t\t\tisLoading = false;\n\n\t\t\t\tif ( scope.onLoad !== undefined ) {\n\n\t\t\t\t\tscope.onLoad();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.itemError = function ( url ) {\n\n\t\t\tif ( scope.onError !== undefined ) {\n\n\t\t\t\tscope.onError( url );\n\n\t\t\t}\n\n\t\t};\n\n\t\tthis.resolveURL = function ( url ) {\n\n\t\t\tif ( urlModifier ) {\n\n\t\t\t\treturn urlModifier( url );\n\n\t\t\t}\n\n\t\t\treturn url;\n\n\t\t};\n\n\t\tthis.setURLModifier = function ( transform ) {\n\n\t\t\turlModifier = transform;\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.addHandler = function ( regex, loader ) {\n\n\t\t\thandlers.push( regex, loader );\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.removeHandler = function ( regex ) {\n\n\t\t\tconst index = handlers.indexOf( regex );\n\n\t\t\tif ( index !== - 1 ) {\n\n\t\t\t\thandlers.splice( index, 2 );\n\n\t\t\t}\n\n\t\t\treturn this;\n\n\t\t};\n\n\t\tthis.getHandler = function ( file ) {\n\n\t\t\tfor ( let i = 0, l = handlers.length; i < l; i += 2 ) {\n\n\t\t\t\tconst regex = handlers[ i ];\n\t\t\t\tconst loader = handlers[ i + 1 ];\n\n\t\t\t\tif ( regex.global ) regex.lastIndex = 0; // see #17920\n\n\t\t\t\tif ( regex.test( file ) ) {\n\n\t\t\t\t\treturn loader;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn null;\n\n\t\t};\n\n\t}\n\n}\n\nconst DefaultLoadingManager = /*@__PURE__*/ new LoadingManager();\n\nclass Loader {\n\n\tconstructor( manager ) {\n\n\t\tthis.manager = ( manager !== undefined ) ? manager : DefaultLoadingManager;\n\n\t\tthis.crossOrigin = 'anonymous';\n\t\tthis.withCredentials = false;\n\t\tthis.path = '';\n\t\tthis.resourcePath = '';\n\t\tthis.requestHeader = {};\n\n\t}\n\n\tload( /* url, onLoad, onProgress, onError */ ) {}\n\n\tloadAsync( url, onProgress ) {\n\n\t\tconst scope = this;\n\n\t\treturn new Promise( function ( resolve, reject ) {\n\n\t\t\tscope.load( url, resolve, onProgress, reject );\n\n\t\t} );\n\n\t}\n\n\tparse( /* data */ ) {}\n\n\tsetCrossOrigin( crossOrigin ) {\n\n\t\tthis.crossOrigin = crossOrigin;\n\t\treturn this;\n\n\t}\n\n\tsetWithCredentials( value ) {\n\n\t\tthis.withCredentials = value;\n\t\treturn this;\n\n\t}\n\n\tsetPath( path ) {\n\n\t\tthis.path = path;\n\t\treturn this;\n\n\t}\n\n\tsetResourcePath( resourcePath ) {\n\n\t\tthis.resourcePath = resourcePath;\n\t\treturn this;\n\n\t}\n\n\tsetRequestHeader( requestHeader ) {\n\n\t\tthis.requestHeader = requestHeader;\n\t\treturn this;\n\n\t}\n\n}\n\nLoader.DEFAULT_MATERIAL_NAME = '__DEFAULT';\n\nconst loading = {};\n\nclass HttpError extends Error {\n\n\tconstructor( message, response ) {\n\n\t\tsuper( message );\n\t\tthis.response = response;\n\n\t}\n\n}\n\nclass FileLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( url === undefined ) url = '';\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tthis.manager.itemStart( url );\n\n\t\t\tsetTimeout( () => {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tthis.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\t// Check if request is duplicate\n\n\t\tif ( loading[ url ] !== undefined ) {\n\n\t\t\tloading[ url ].push( {\n\n\t\t\t\tonLoad: onLoad,\n\t\t\t\tonProgress: onProgress,\n\t\t\t\tonError: onError\n\n\t\t\t} );\n\n\t\t\treturn;\n\n\t\t}\n\n\t\t// Initialise array for duplicate requests\n\t\tloading[ url ] = [];\n\n\t\tloading[ url ].push( {\n\t\t\tonLoad: onLoad,\n\t\t\tonProgress: onProgress,\n\t\t\tonError: onError,\n\t\t} );\n\n\t\t// create request\n\t\tconst req = new Request( url, {\n\t\t\theaders: new Headers( this.requestHeader ),\n\t\t\tcredentials: this.withCredentials ? 'include' : 'same-origin',\n\t\t\t// An abort controller could be added within a future PR\n\t\t} );\n\n\t\t// record states ( avoid data race )\n\t\tconst mimeType = this.mimeType;\n\t\tconst responseType = this.responseType;\n\n\t\t// start the fetch\n\t\tfetch( req )\n\t\t\t.then( response => {\n\n\t\t\t\tif ( response.status === 200 || response.status === 0 ) {\n\n\t\t\t\t\t// Some browsers return HTTP Status 0 when using non-http protocol\n\t\t\t\t\t// e.g. 'file://' or 'data://'. Handle as success.\n\n\t\t\t\t\tif ( response.status === 0 ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.FileLoader: HTTP Status 0 received.' );\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// Workaround: Checking if response.body === undefined for Alipay browser #23548\n\n\t\t\t\t\tif ( typeof ReadableStream === 'undefined' || response.body === undefined || response.body.getReader === undefined ) {\n\n\t\t\t\t\t\treturn response;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst callbacks = loading[ url ];\n\t\t\t\t\tconst reader = response.body.getReader();\n\n\t\t\t\t\t// Nginx needs X-File-Size check\n\t\t\t\t\t// https://serverfault.com/questions/482875/why-does-nginx-remove-content-length-header-for-chunked-content\n\t\t\t\t\tconst contentLength = response.headers.get( 'Content-Length' ) || response.headers.get( 'X-File-Size' );\n\t\t\t\t\tconst total = contentLength ? parseInt( contentLength ) : 0;\n\t\t\t\t\tconst lengthComputable = total !== 0;\n\t\t\t\t\tlet loaded = 0;\n\n\t\t\t\t\t// periodically read data into the new stream tracking while download progress\n\t\t\t\t\tconst stream = new ReadableStream( {\n\t\t\t\t\t\tstart( controller ) {\n\n\t\t\t\t\t\t\treadData();\n\n\t\t\t\t\t\t\tfunction readData() {\n\n\t\t\t\t\t\t\t\treader.read().then( ( { done, value } ) => {\n\n\t\t\t\t\t\t\t\t\tif ( done ) {\n\n\t\t\t\t\t\t\t\t\t\tcontroller.close();\n\n\t\t\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t\t\tloaded += value.byteLength;\n\n\t\t\t\t\t\t\t\t\t\tconst event = new ProgressEvent( 'progress', { lengthComputable, loaded, total } );\n\t\t\t\t\t\t\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\t\t\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\t\t\t\t\t\t\tif ( callback.onProgress ) callback.onProgress( event );\n\n\t\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t\t\tcontroller.enqueue( value );\n\t\t\t\t\t\t\t\t\t\treadData();\n\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t} );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t} );\n\n\t\t\t\t\treturn new Response( stream );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthrow new HttpError( `fetch for \"${response.url}\" responded with ${response.status}: ${response.statusText}`, response );\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.then( response => {\n\n\t\t\t\tswitch ( responseType ) {\n\n\t\t\t\t\tcase 'arraybuffer':\n\n\t\t\t\t\t\treturn response.arrayBuffer();\n\n\t\t\t\t\tcase 'blob':\n\n\t\t\t\t\t\treturn response.blob();\n\n\t\t\t\t\tcase 'document':\n\n\t\t\t\t\t\treturn response.text()\n\t\t\t\t\t\t\t.then( text => {\n\n\t\t\t\t\t\t\t\tconst parser = new DOMParser();\n\t\t\t\t\t\t\t\treturn parser.parseFromString( text, mimeType );\n\n\t\t\t\t\t\t\t} );\n\n\t\t\t\t\tcase 'json':\n\n\t\t\t\t\t\treturn response.json();\n\n\t\t\t\t\tdefault:\n\n\t\t\t\t\t\tif ( mimeType === undefined ) {\n\n\t\t\t\t\t\t\treturn response.text();\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// sniff encoding\n\t\t\t\t\t\t\tconst re = /charset=\"?([^;\"\\s]*)\"?/i;\n\t\t\t\t\t\t\tconst exec = re.exec( mimeType );\n\t\t\t\t\t\t\tconst label = exec && exec[ 1 ] ? exec[ 1 ].toLowerCase() : undefined;\n\t\t\t\t\t\t\tconst decoder = new TextDecoder( label );\n\t\t\t\t\t\t\treturn response.arrayBuffer().then( ab => decoder.decode( ab ) );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.then( data => {\n\n\t\t\t\t// Add to cache only on HTTP success, so that we do not cache\n\t\t\t\t// error response bodies as proper responses to requests.\n\t\t\t\tCache.add( url, data );\n\n\t\t\t\tconst callbacks = loading[ url ];\n\t\t\t\tdelete loading[ url ];\n\n\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\tif ( callback.onLoad ) callback.onLoad( data );\n\n\t\t\t\t}\n\n\t\t\t} )\n\t\t\t.catch( err => {\n\n\t\t\t\t// Abort errors and other errors are handled the same\n\n\t\t\t\tconst callbacks = loading[ url ];\n\n\t\t\t\tif ( callbacks === undefined ) {\n\n\t\t\t\t\t// When onLoad was called and url was deleted in `loading`\n\t\t\t\t\tthis.manager.itemError( url );\n\t\t\t\t\tthrow err;\n\n\t\t\t\t}\n\n\t\t\t\tdelete loading[ url ];\n\n\t\t\t\tfor ( let i = 0, il = callbacks.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst callback = callbacks[ i ];\n\t\t\t\t\tif ( callback.onError ) callback.onError( err );\n\n\t\t\t\t}\n\n\t\t\t\tthis.manager.itemError( url );\n\n\t\t\t} )\n\t\t\t.finally( () => {\n\n\t\t\t\tthis.manager.itemEnd( url );\n\n\t\t\t} );\n\n\t\tthis.manager.itemStart( url );\n\n\t}\n\n\tsetResponseType( value ) {\n\n\t\tthis.responseType = value;\n\t\treturn this;\n\n\t}\n\n\tsetMimeType( value ) {\n\n\t\tthis.mimeType = value;\n\t\treturn this;\n\n\t}\n\n}\n\nclass AnimationLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst animations = [];\n\n\t\tfor ( let i = 0; i < json.length; i ++ ) {\n\n\t\t\tconst clip = AnimationClip.parse( json[ i ] );\n\n\t\t\tanimations.push( clip );\n\n\t\t}\n\n\t\treturn animations;\n\n\t}\n\n}\n\n/**\n * Abstract Base class to block based textures loader (dds, pvr, ...)\n *\n * Sub classes have to implement the parse() method which will be used in load().\n */\n\nclass CompressedTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst images = [];\n\n\t\tconst texture = new CompressedTexture();\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\n\t\tlet loaded = 0;\n\n\t\tfunction loadTexture( i ) {\n\n\t\t\tloader.load( url[ i ], function ( buffer ) {\n\n\t\t\t\tconst texDatas = scope.parse( buffer, true );\n\n\t\t\t\timages[ i ] = {\n\t\t\t\t\twidth: texDatas.width,\n\t\t\t\t\theight: texDatas.height,\n\t\t\t\t\tformat: texDatas.format,\n\t\t\t\t\tmipmaps: texDatas.mipmaps\n\t\t\t\t};\n\n\t\t\t\tloaded += 1;\n\n\t\t\t\tif ( loaded === 6 ) {\n\n\t\t\t\t\tif ( texDatas.mipmapCount === 1 ) texture.minFilter = LinearFilter;\n\n\t\t\t\t\ttexture.image = images;\n\t\t\t\t\ttexture.format = texDatas.format;\n\t\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t\t}\n\n\t\t\t}, onProgress, onError );\n\n\t\t}\n\n\t\tif ( Array.isArray( url ) ) {\n\n\t\t\tfor ( let i = 0, il = url.length; i < il; ++ i ) {\n\n\t\t\t\tloadTexture( i );\n\n\t\t\t}\n\n\t\t} else {\n\n\t\t\t// compressed cubemap texture stored in a single DDS file\n\n\t\t\tloader.load( url, function ( buffer ) {\n\n\t\t\t\tconst texDatas = scope.parse( buffer, true );\n\n\t\t\t\tif ( texDatas.isCubemap ) {\n\n\t\t\t\t\tconst faces = texDatas.mipmaps.length / texDatas.mipmapCount;\n\n\t\t\t\t\tfor ( let f = 0; f < faces; f ++ ) {\n\n\t\t\t\t\t\timages[ f ] = { mipmaps: [] };\n\n\t\t\t\t\t\tfor ( let i = 0; i < texDatas.mipmapCount; i ++ ) {\n\n\t\t\t\t\t\t\timages[ f ].mipmaps.push( texDatas.mipmaps[ f * texDatas.mipmapCount + i ] );\n\t\t\t\t\t\t\timages[ f ].format = texDatas.format;\n\t\t\t\t\t\t\timages[ f ].width = texDatas.width;\n\t\t\t\t\t\t\timages[ f ].height = texDatas.height;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttexture.image = images;\n\n\t\t\t\t} else {\n\n\t\t\t\t\ttexture.image.width = texDatas.width;\n\t\t\t\t\ttexture.image.height = texDatas.height;\n\t\t\t\t\ttexture.mipmaps = texDatas.mipmaps;\n\n\t\t\t\t}\n\n\t\t\t\tif ( texDatas.mipmapCount === 1 ) {\n\n\t\t\t\t\ttexture.minFilter = LinearFilter;\n\n\t\t\t\t}\n\n\t\t\t\ttexture.format = texDatas.format;\n\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t}, onProgress, onError );\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass ImageLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst scope = this;\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\tsetTimeout( function () {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\tconst image = createElementNS( 'img' );\n\n\t\tfunction onImageLoad() {\n\n\t\t\tremoveEventListeners();\n\n\t\t\tCache.add( url, this );\n\n\t\t\tif ( onLoad ) onLoad( this );\n\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t}\n\n\t\tfunction onImageError( event ) {\n\n\t\t\tremoveEventListeners();\n\n\t\t\tif ( onError ) onError( event );\n\n\t\t\tscope.manager.itemError( url );\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t}\n\n\t\tfunction removeEventListeners() {\n\n\t\t\timage.removeEventListener( 'load', onImageLoad, false );\n\t\t\timage.removeEventListener( 'error', onImageError, false );\n\n\t\t}\n\n\t\timage.addEventListener( 'load', onImageLoad, false );\n\t\timage.addEventListener( 'error', onImageError, false );\n\n\t\tif ( url.slice( 0, 5 ) !== 'data:' ) {\n\n\t\t\tif ( this.crossOrigin !== undefined ) image.crossOrigin = this.crossOrigin;\n\n\t\t}\n\n\t\tscope.manager.itemStart( url );\n\n\t\timage.src = url;\n\n\t\treturn image;\n\n\t}\n\n}\n\nclass CubeTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( urls, onLoad, onProgress, onError ) {\n\n\t\tconst texture = new CubeTexture();\n\t\ttexture.colorSpace = SRGBColorSpace;\n\n\t\tconst loader = new ImageLoader( this.manager );\n\t\tloader.setCrossOrigin( this.crossOrigin );\n\t\tloader.setPath( this.path );\n\n\t\tlet loaded = 0;\n\n\t\tfunction loadTexture( i ) {\n\n\t\t\tloader.load( urls[ i ], function ( image ) {\n\n\t\t\t\ttexture.images[ i ] = image;\n\n\t\t\t\tloaded ++;\n\n\t\t\t\tif ( loaded === 6 ) {\n\n\t\t\t\t\ttexture.needsUpdate = true;\n\n\t\t\t\t\tif ( onLoad ) onLoad( texture );\n\n\t\t\t\t}\n\n\t\t\t}, undefined, onError );\n\n\t\t}\n\n\t\tfor ( let i = 0; i < urls.length; ++ i ) {\n\n\t\t\tloadTexture( i );\n\n\t\t}\n\n\t\treturn texture;\n\n\t}\n\n}\n\n/**\n * Abstract Base class to load generic binary textures formats (rgbe, hdr, ...)\n *\n * Sub classes have to implement the parse() method which will be used in load().\n */\n\nclass DataTextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst texture = new DataTexture();\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setPath( this.path );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( buffer ) {\n\n\t\t\tlet texData;\n\n\t\t\ttry {\n\n\t\t\t\ttexData = scope.parse( buffer );\n\n\t\t\t} catch ( error ) {\n\n\t\t\t\tif ( onError !== undefined ) {\n\n\t\t\t\t\tonError( error );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( error );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( texData.image !== undefined ) {\n\n\t\t\t\ttexture.image = texData.image;\n\n\t\t\t} else if ( texData.data !== undefined ) {\n\n\t\t\t\ttexture.image.width = texData.width;\n\t\t\t\ttexture.image.height = texData.height;\n\t\t\t\ttexture.image.data = texData.data;\n\n\t\t\t}\n\n\t\t\ttexture.wrapS = texData.wrapS !== undefined ? texData.wrapS : ClampToEdgeWrapping;\n\t\t\ttexture.wrapT = texData.wrapT !== undefined ? texData.wrapT : ClampToEdgeWrapping;\n\n\t\t\ttexture.magFilter = texData.magFilter !== undefined ? texData.magFilter : LinearFilter;\n\t\t\ttexture.minFilter = texData.minFilter !== undefined ? texData.minFilter : LinearFilter;\n\n\t\t\ttexture.anisotropy = texData.anisotropy !== undefined ? texData.anisotropy : 1;\n\n\t\t\tif ( texData.colorSpace !== undefined ) {\n\n\t\t\t\ttexture.colorSpace = texData.colorSpace;\n\n\t\t\t} else if ( texData.encoding !== undefined ) { // @deprecated, r152\n\n\t\t\t\ttexture.encoding = texData.encoding;\n\n\t\t\t}\n\n\t\t\tif ( texData.flipY !== undefined ) {\n\n\t\t\t\ttexture.flipY = texData.flipY;\n\n\t\t\t}\n\n\t\t\tif ( texData.format !== undefined ) {\n\n\t\t\t\ttexture.format = texData.format;\n\n\t\t\t}\n\n\t\t\tif ( texData.type !== undefined ) {\n\n\t\t\t\ttexture.type = texData.type;\n\n\t\t\t}\n\n\t\t\tif ( texData.mipmaps !== undefined ) {\n\n\t\t\t\ttexture.mipmaps = texData.mipmaps;\n\t\t\t\ttexture.minFilter = LinearMipmapLinearFilter; // presumably...\n\n\t\t\t}\n\n\t\t\tif ( texData.mipmapCount === 1 ) {\n\n\t\t\t\ttexture.minFilter = LinearFilter;\n\n\t\t\t}\n\n\t\t\tif ( texData.generateMipmaps !== undefined ) {\n\n\t\t\t\ttexture.generateMipmaps = texData.generateMipmaps;\n\n\t\t\t}\n\n\t\t\ttexture.needsUpdate = true;\n\n\t\t\tif ( onLoad ) onLoad( texture, texData );\n\n\t\t}, onProgress, onError );\n\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass TextureLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst texture = new Texture();\n\n\t\tconst loader = new ImageLoader( this.manager );\n\t\tloader.setCrossOrigin( this.crossOrigin );\n\t\tloader.setPath( this.path );\n\n\t\tloader.load( url, function ( image ) {\n\n\t\t\ttexture.image = image;\n\t\t\ttexture.needsUpdate = true;\n\n\t\t\tif ( onLoad !== undefined ) {\n\n\t\t\t\tonLoad( texture );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t\treturn texture;\n\n\t}\n\n}\n\nclass Light extends Object3D {\n\n\tconstructor( color, intensity = 1 ) {\n\n\t\tsuper();\n\n\t\tthis.isLight = true;\n\n\t\tthis.type = 'Light';\n\n\t\tthis.color = new Color( color );\n\t\tthis.intensity = intensity;\n\n\t}\n\n\tdispose() {\n\n\t\t// Empty here in base class; some subclasses override.\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.color.copy( source.color );\n\t\tthis.intensity = source.intensity;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.color = this.color.getHex();\n\t\tdata.object.intensity = this.intensity;\n\n\t\tif ( this.groundColor !== undefined ) data.object.groundColor = this.groundColor.getHex();\n\n\t\tif ( this.distance !== undefined ) data.object.distance = this.distance;\n\t\tif ( this.angle !== undefined ) data.object.angle = this.angle;\n\t\tif ( this.decay !== undefined ) data.object.decay = this.decay;\n\t\tif ( this.penumbra !== undefined ) data.object.penumbra = this.penumbra;\n\n\t\tif ( this.shadow !== undefined ) data.object.shadow = this.shadow.toJSON();\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass HemisphereLight extends Light {\n\n\tconstructor( skyColor, groundColor, intensity ) {\n\n\t\tsuper( skyColor, intensity );\n\n\t\tthis.isHemisphereLight = true;\n\n\t\tthis.type = 'HemisphereLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.groundColor = new Color( groundColor );\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.groundColor.copy( source.groundColor );\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _projScreenMatrix$1 = /*@__PURE__*/ new Matrix4();\nconst _lightPositionWorld$1 = /*@__PURE__*/ new Vector3();\nconst _lookTarget$1 = /*@__PURE__*/ new Vector3();\n\nclass LightShadow {\n\n\tconstructor( camera ) {\n\n\t\tthis.camera = camera;\n\n\t\tthis.bias = 0;\n\t\tthis.normalBias = 0;\n\t\tthis.radius = 1;\n\t\tthis.blurSamples = 8;\n\n\t\tthis.mapSize = new Vector2( 512, 512 );\n\n\t\tthis.map = null;\n\t\tthis.mapPass = null;\n\t\tthis.matrix = new Matrix4();\n\n\t\tthis.autoUpdate = true;\n\t\tthis.needsUpdate = false;\n\n\t\tthis._frustum = new Frustum();\n\t\tthis._frameExtents = new Vector2( 1, 1 );\n\n\t\tthis._viewportCount = 1;\n\n\t\tthis._viewports = [\n\n\t\t\tnew Vector4( 0, 0, 1, 1 )\n\n\t\t];\n\n\t}\n\n\tgetViewportCount() {\n\n\t\treturn this._viewportCount;\n\n\t}\n\n\tgetFrustum() {\n\n\t\treturn this._frustum;\n\n\t}\n\n\tupdateMatrices( light ) {\n\n\t\tconst shadowCamera = this.camera;\n\t\tconst shadowMatrix = this.matrix;\n\n\t\t_lightPositionWorld$1.setFromMatrixPosition( light.matrixWorld );\n\t\tshadowCamera.position.copy( _lightPositionWorld$1 );\n\n\t\t_lookTarget$1.setFromMatrixPosition( light.target.matrixWorld );\n\t\tshadowCamera.lookAt( _lookTarget$1 );\n\t\tshadowCamera.updateMatrixWorld();\n\n\t\t_projScreenMatrix$1.multiplyMatrices( shadowCamera.projectionMatrix, shadowCamera.matrixWorldInverse );\n\t\tthis._frustum.setFromProjectionMatrix( _projScreenMatrix$1 );\n\n\t\tshadowMatrix.set(\n\t\t\t0.5, 0.0, 0.0, 0.5,\n\t\t\t0.0, 0.5, 0.0, 0.5,\n\t\t\t0.0, 0.0, 0.5, 0.5,\n\t\t\t0.0, 0.0, 0.0, 1.0\n\t\t);\n\n\t\tshadowMatrix.multiply( _projScreenMatrix$1 );\n\n\t}\n\n\tgetViewport( viewportIndex ) {\n\n\t\treturn this._viewports[ viewportIndex ];\n\n\t}\n\n\tgetFrameExtents() {\n\n\t\treturn this._frameExtents;\n\n\t}\n\n\tdispose() {\n\n\t\tif ( this.map ) {\n\n\t\t\tthis.map.dispose();\n\n\t\t}\n\n\t\tif ( this.mapPass ) {\n\n\t\t\tthis.mapPass.dispose();\n\n\t\t}\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.camera = source.camera.clone();\n\n\t\tthis.bias = source.bias;\n\t\tthis.radius = source.radius;\n\n\t\tthis.mapSize.copy( source.mapSize );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst object = {};\n\n\t\tif ( this.bias !== 0 ) object.bias = this.bias;\n\t\tif ( this.normalBias !== 0 ) object.normalBias = this.normalBias;\n\t\tif ( this.radius !== 1 ) object.radius = this.radius;\n\t\tif ( this.mapSize.x !== 512 || this.mapSize.y !== 512 ) object.mapSize = this.mapSize.toArray();\n\n\t\tobject.camera = this.camera.toJSON( false ).object;\n\t\tdelete object.camera.matrix;\n\n\t\treturn object;\n\n\t}\n\n}\n\nclass SpotLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new PerspectiveCamera( 50, 1, 0.5, 500 ) );\n\n\t\tthis.isSpotLightShadow = true;\n\n\t\tthis.focus = 1;\n\n\t}\n\n\tupdateMatrices( light ) {\n\n\t\tconst camera = this.camera;\n\n\t\tconst fov = RAD2DEG * 2 * light.angle * this.focus;\n\t\tconst aspect = this.mapSize.width / this.mapSize.height;\n\t\tconst far = light.distance || camera.far;\n\n\t\tif ( fov !== camera.fov || aspect !== camera.aspect || far !== camera.far ) {\n\n\t\t\tcamera.fov = fov;\n\t\t\tcamera.aspect = aspect;\n\t\t\tcamera.far = far;\n\t\t\tcamera.updateProjectionMatrix();\n\n\t\t}\n\n\t\tsuper.updateMatrices( light );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.focus = source.focus;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass SpotLight extends Light {\n\n\tconstructor( color, intensity, distance = 0, angle = Math.PI / 3, penumbra = 0, decay = 2 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isSpotLight = true;\n\n\t\tthis.type = 'SpotLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.target = new Object3D();\n\n\t\tthis.distance = distance;\n\t\tthis.angle = angle;\n\t\tthis.penumbra = penumbra;\n\t\tthis.decay = decay;\n\n\t\tthis.map = null;\n\n\t\tthis.shadow = new SpotLightShadow();\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in candela)\n\t\t// by convention for a spotlight, luminous power (lm) = π * luminous intensity (cd)\n\t\treturn this.intensity * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in candela) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / Math.PI;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.distance = source.distance;\n\t\tthis.angle = source.angle;\n\t\tthis.penumbra = source.penumbra;\n\t\tthis.decay = source.decay;\n\n\t\tthis.target = source.target.clone();\n\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _projScreenMatrix = /*@__PURE__*/ new Matrix4();\nconst _lightPositionWorld = /*@__PURE__*/ new Vector3();\nconst _lookTarget = /*@__PURE__*/ new Vector3();\n\nclass PointLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new PerspectiveCamera( 90, 1, 0.5, 500 ) );\n\n\t\tthis.isPointLightShadow = true;\n\n\t\tthis._frameExtents = new Vector2( 4, 2 );\n\n\t\tthis._viewportCount = 6;\n\n\t\tthis._viewports = [\n\t\t\t// These viewports map a cube-map onto a 2D texture with the\n\t\t\t// following orientation:\n\t\t\t//\n\t\t\t// xzXZ\n\t\t\t// y Y\n\t\t\t//\n\t\t\t// X - Positive x direction\n\t\t\t// x - Negative x direction\n\t\t\t// Y - Positive y direction\n\t\t\t// y - Negative y direction\n\t\t\t// Z - Positive z direction\n\t\t\t// z - Negative z direction\n\n\t\t\t// positive X\n\t\t\tnew Vector4( 2, 1, 1, 1 ),\n\t\t\t// negative X\n\t\t\tnew Vector4( 0, 1, 1, 1 ),\n\t\t\t// positive Z\n\t\t\tnew Vector4( 3, 1, 1, 1 ),\n\t\t\t// negative Z\n\t\t\tnew Vector4( 1, 1, 1, 1 ),\n\t\t\t// positive Y\n\t\t\tnew Vector4( 3, 0, 1, 1 ),\n\t\t\t// negative Y\n\t\t\tnew Vector4( 1, 0, 1, 1 )\n\t\t];\n\n\t\tthis._cubeDirections = [\n\t\t\tnew Vector3( 1, 0, 0 ), new Vector3( - 1, 0, 0 ), new Vector3( 0, 0, 1 ),\n\t\t\tnew Vector3( 0, 0, - 1 ), new Vector3( 0, 1, 0 ), new Vector3( 0, - 1, 0 )\n\t\t];\n\n\t\tthis._cubeUps = [\n\t\t\tnew Vector3( 0, 1, 0 ), new Vector3( 0, 1, 0 ), new Vector3( 0, 1, 0 ),\n\t\t\tnew Vector3( 0, 1, 0 ), new Vector3( 0, 0, 1 ),\tnew Vector3( 0, 0, - 1 )\n\t\t];\n\n\t}\n\n\tupdateMatrices( light, viewportIndex = 0 ) {\n\n\t\tconst camera = this.camera;\n\t\tconst shadowMatrix = this.matrix;\n\n\t\tconst far = light.distance || camera.far;\n\n\t\tif ( far !== camera.far ) {\n\n\t\t\tcamera.far = far;\n\t\t\tcamera.updateProjectionMatrix();\n\n\t\t}\n\n\t\t_lightPositionWorld.setFromMatrixPosition( light.matrixWorld );\n\t\tcamera.position.copy( _lightPositionWorld );\n\n\t\t_lookTarget.copy( camera.position );\n\t\t_lookTarget.add( this._cubeDirections[ viewportIndex ] );\n\t\tcamera.up.copy( this._cubeUps[ viewportIndex ] );\n\t\tcamera.lookAt( _lookTarget );\n\t\tcamera.updateMatrixWorld();\n\n\t\tshadowMatrix.makeTranslation( - _lightPositionWorld.x, - _lightPositionWorld.y, - _lightPositionWorld.z );\n\n\t\t_projScreenMatrix.multiplyMatrices( camera.projectionMatrix, camera.matrixWorldInverse );\n\t\tthis._frustum.setFromProjectionMatrix( _projScreenMatrix );\n\n\t}\n\n}\n\nclass PointLight extends Light {\n\n\tconstructor( color, intensity, distance = 0, decay = 2 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isPointLight = true;\n\n\t\tthis.type = 'PointLight';\n\n\t\tthis.distance = distance;\n\t\tthis.decay = decay;\n\n\t\tthis.shadow = new PointLightShadow();\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in candela)\n\t\t// for an isotropic light source, luminous power (lm) = 4 π luminous intensity (cd)\n\t\treturn this.intensity * 4 * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in candela) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / ( 4 * Math.PI );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.distance = source.distance;\n\t\tthis.decay = source.decay;\n\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass DirectionalLightShadow extends LightShadow {\n\n\tconstructor() {\n\n\t\tsuper( new OrthographicCamera( - 5, 5, 5, - 5, 0.5, 500 ) );\n\n\t\tthis.isDirectionalLightShadow = true;\n\n\t}\n\n}\n\nclass DirectionalLight extends Light {\n\n\tconstructor( color, intensity ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isDirectionalLight = true;\n\n\t\tthis.type = 'DirectionalLight';\n\n\t\tthis.position.copy( Object3D.DEFAULT_UP );\n\t\tthis.updateMatrix();\n\n\t\tthis.target = new Object3D();\n\n\t\tthis.shadow = new DirectionalLightShadow();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.shadow.dispose();\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.target = source.target.clone();\n\t\tthis.shadow = source.shadow.clone();\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass AmbientLight extends Light {\n\n\tconstructor( color, intensity ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isAmbientLight = true;\n\n\t\tthis.type = 'AmbientLight';\n\n\t}\n\n}\n\nclass RectAreaLight extends Light {\n\n\tconstructor( color, intensity, width = 10, height = 10 ) {\n\n\t\tsuper( color, intensity );\n\n\t\tthis.isRectAreaLight = true;\n\n\t\tthis.type = 'RectAreaLight';\n\n\t\tthis.width = width;\n\t\tthis.height = height;\n\n\t}\n\n\tget power() {\n\n\t\t// compute the light's luminous power (in lumens) from its intensity (in nits)\n\t\treturn this.intensity * this.width * this.height * Math.PI;\n\n\t}\n\n\tset power( power ) {\n\n\t\t// set the light's intensity (in nits) from the desired luminous power (in lumens)\n\t\tthis.intensity = power / ( this.width * this.height * Math.PI );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.width = source.width;\n\t\tthis.height = source.height;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.width = this.width;\n\t\tdata.object.height = this.height;\n\n\t\treturn data;\n\n\t}\n\n}\n\n/**\n * Primary reference:\n * https://graphics.stanford.edu/papers/envmap/envmap.pdf\n *\n * Secondary reference:\n * https://www.ppsloan.org/publications/StupidSH36.pdf\n */\n\n// 3-band SH defined by 9 coefficients\n\nclass SphericalHarmonics3 {\n\n\tconstructor() {\n\n\t\tthis.isSphericalHarmonics3 = true;\n\n\t\tthis.coefficients = [];\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients.push( new Vector3() );\n\n\t\t}\n\n\t}\n\n\tset( coefficients ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].copy( coefficients[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tzero() {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].set( 0, 0, 0 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// get the radiance in the direction of the normal\n\t// target is a Vector3\n\tgetAt( normal, target ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\tconst coeff = this.coefficients;\n\n\t\t// band 0\n\t\ttarget.copy( coeff[ 0 ] ).multiplyScalar( 0.282095 );\n\n\t\t// band 1\n\t\ttarget.addScaledVector( coeff[ 1 ], 0.488603 * y );\n\t\ttarget.addScaledVector( coeff[ 2 ], 0.488603 * z );\n\t\ttarget.addScaledVector( coeff[ 3 ], 0.488603 * x );\n\n\t\t// band 2\n\t\ttarget.addScaledVector( coeff[ 4 ], 1.092548 * ( x * y ) );\n\t\ttarget.addScaledVector( coeff[ 5 ], 1.092548 * ( y * z ) );\n\t\ttarget.addScaledVector( coeff[ 6 ], 0.315392 * ( 3.0 * z * z - 1.0 ) );\n\t\ttarget.addScaledVector( coeff[ 7 ], 1.092548 * ( x * z ) );\n\t\ttarget.addScaledVector( coeff[ 8 ], 0.546274 * ( x * x - y * y ) );\n\n\t\treturn target;\n\n\t}\n\n\t// get the irradiance (radiance convolved with cosine lobe) in the direction of the normal\n\t// target is a Vector3\n\t// https://graphics.stanford.edu/papers/envmap/envmap.pdf\n\tgetIrradianceAt( normal, target ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\tconst coeff = this.coefficients;\n\n\t\t// band 0\n\t\ttarget.copy( coeff[ 0 ] ).multiplyScalar( 0.886227 ); // π * 0.282095\n\n\t\t// band 1\n\t\ttarget.addScaledVector( coeff[ 1 ], 2.0 * 0.511664 * y ); // ( 2 * π / 3 ) * 0.488603\n\t\ttarget.addScaledVector( coeff[ 2 ], 2.0 * 0.511664 * z );\n\t\ttarget.addScaledVector( coeff[ 3 ], 2.0 * 0.511664 * x );\n\n\t\t// band 2\n\t\ttarget.addScaledVector( coeff[ 4 ], 2.0 * 0.429043 * x * y ); // ( π / 4 ) * 1.092548\n\t\ttarget.addScaledVector( coeff[ 5 ], 2.0 * 0.429043 * y * z );\n\t\ttarget.addScaledVector( coeff[ 6 ], 0.743125 * z * z - 0.247708 ); // ( π / 4 ) * 0.315392 * 3\n\t\ttarget.addScaledVector( coeff[ 7 ], 2.0 * 0.429043 * x * z );\n\t\ttarget.addScaledVector( coeff[ 8 ], 0.429043 * ( x * x - y * y ) ); // ( π / 4 ) * 0.546274\n\n\t\treturn target;\n\n\t}\n\n\tadd( sh ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].add( sh.coefficients[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\taddScaledSH( sh, s ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].addScaledVector( sh.coefficients[ i ], s );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tscale( s ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].multiplyScalar( s );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tlerp( sh, alpha ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tthis.coefficients[ i ].lerp( sh.coefficients[ i ], alpha );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tequals( sh ) {\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tif ( ! this.coefficients[ i ].equals( sh.coefficients[ i ] ) ) {\n\n\t\t\t\treturn false;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn true;\n\n\t}\n\n\tcopy( sh ) {\n\n\t\treturn this.set( sh.coefficients );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tfromArray( array, offset = 0 ) {\n\n\t\tconst coefficients = this.coefficients;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tcoefficients[ i ].fromArray( array, offset + ( i * 3 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\ttoArray( array = [], offset = 0 ) {\n\n\t\tconst coefficients = this.coefficients;\n\n\t\tfor ( let i = 0; i < 9; i ++ ) {\n\n\t\t\tcoefficients[ i ].toArray( array, offset + ( i * 3 ) );\n\n\t\t}\n\n\t\treturn array;\n\n\t}\n\n\t// evaluate the basis functions\n\t// shBasis is an Array[ 9 ]\n\tstatic getBasisAt( normal, shBasis ) {\n\n\t\t// normal is assumed to be unit length\n\n\t\tconst x = normal.x, y = normal.y, z = normal.z;\n\n\t\t// band 0\n\t\tshBasis[ 0 ] = 0.282095;\n\n\t\t// band 1\n\t\tshBasis[ 1 ] = 0.488603 * y;\n\t\tshBasis[ 2 ] = 0.488603 * z;\n\t\tshBasis[ 3 ] = 0.488603 * x;\n\n\t\t// band 2\n\t\tshBasis[ 4 ] = 1.092548 * x * y;\n\t\tshBasis[ 5 ] = 1.092548 * y * z;\n\t\tshBasis[ 6 ] = 0.315392 * ( 3 * z * z - 1 );\n\t\tshBasis[ 7 ] = 1.092548 * x * z;\n\t\tshBasis[ 8 ] = 0.546274 * ( x * x - y * y );\n\n\t}\n\n}\n\nclass LightProbe extends Light {\n\n\tconstructor( sh = new SphericalHarmonics3(), intensity = 1 ) {\n\n\t\tsuper( undefined, intensity );\n\n\t\tthis.isLightProbe = true;\n\n\t\tthis.sh = sh;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.sh.copy( source.sh );\n\n\t\treturn this;\n\n\t}\n\n\tfromJSON( json ) {\n\n\t\tthis.intensity = json.intensity; // TODO: Move this bit to Light.fromJSON();\n\t\tthis.sh.fromArray( json.sh );\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON( meta ) {\n\n\t\tconst data = super.toJSON( meta );\n\n\t\tdata.object.sh = this.sh.toArray();\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass MaterialLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\t\tthis.textures = {};\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( scope.manager );\n\t\tloader.setPath( scope.path );\n\t\tloader.setRequestHeader( scope.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst textures = this.textures;\n\n\t\tfunction getTexture( name ) {\n\n\t\t\tif ( textures[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.MaterialLoader: Undefined texture', name );\n\n\t\t\t}\n\n\t\t\treturn textures[ name ];\n\n\t\t}\n\n\t\tconst material = MaterialLoader.createMaterialFromType( json.type );\n\n\t\tif ( json.uuid !== undefined ) material.uuid = json.uuid;\n\t\tif ( json.name !== undefined ) material.name = json.name;\n\t\tif ( json.color !== undefined && material.color !== undefined ) material.color.setHex( json.color );\n\t\tif ( json.roughness !== undefined ) material.roughness = json.roughness;\n\t\tif ( json.metalness !== undefined ) material.metalness = json.metalness;\n\t\tif ( json.sheen !== undefined ) material.sheen = json.sheen;\n\t\tif ( json.sheenColor !== undefined ) material.sheenColor = new Color().setHex( json.sheenColor );\n\t\tif ( json.sheenRoughness !== undefined ) material.sheenRoughness = json.sheenRoughness;\n\t\tif ( json.emissive !== undefined && material.emissive !== undefined ) material.emissive.setHex( json.emissive );\n\t\tif ( json.specular !== undefined && material.specular !== undefined ) material.specular.setHex( json.specular );\n\t\tif ( json.specularIntensity !== undefined ) material.specularIntensity = json.specularIntensity;\n\t\tif ( json.specularColor !== undefined && material.specularColor !== undefined ) material.specularColor.setHex( json.specularColor );\n\t\tif ( json.shininess !== undefined ) material.shininess = json.shininess;\n\t\tif ( json.clearcoat !== undefined ) material.clearcoat = json.clearcoat;\n\t\tif ( json.clearcoatRoughness !== undefined ) material.clearcoatRoughness = json.clearcoatRoughness;\n\t\tif ( json.iridescence !== undefined ) material.iridescence = json.iridescence;\n\t\tif ( json.iridescenceIOR !== undefined ) material.iridescenceIOR = json.iridescenceIOR;\n\t\tif ( json.iridescenceThicknessRange !== undefined ) material.iridescenceThicknessRange = json.iridescenceThicknessRange;\n\t\tif ( json.transmission !== undefined ) material.transmission = json.transmission;\n\t\tif ( json.thickness !== undefined ) material.thickness = json.thickness;\n\t\tif ( json.attenuationDistance !== undefined ) material.attenuationDistance = json.attenuationDistance;\n\t\tif ( json.attenuationColor !== undefined && material.attenuationColor !== undefined ) material.attenuationColor.setHex( json.attenuationColor );\n\t\tif ( json.anisotropy !== undefined ) material.anisotropy = json.anisotropy;\n\t\tif ( json.anisotropyRotation !== undefined ) material.anisotropyRotation = json.anisotropyRotation;\n\t\tif ( json.fog !== undefined ) material.fog = json.fog;\n\t\tif ( json.flatShading !== undefined ) material.flatShading = json.flatShading;\n\t\tif ( json.blending !== undefined ) material.blending = json.blending;\n\t\tif ( json.combine !== undefined ) material.combine = json.combine;\n\t\tif ( json.side !== undefined ) material.side = json.side;\n\t\tif ( json.shadowSide !== undefined ) material.shadowSide = json.shadowSide;\n\t\tif ( json.opacity !== undefined ) material.opacity = json.opacity;\n\t\tif ( json.transparent !== undefined ) material.transparent = json.transparent;\n\t\tif ( json.alphaTest !== undefined ) material.alphaTest = json.alphaTest;\n\t\tif ( json.alphaHash !== undefined ) material.alphaHash = json.alphaHash;\n\t\tif ( json.depthFunc !== undefined ) material.depthFunc = json.depthFunc;\n\t\tif ( json.depthTest !== undefined ) material.depthTest = json.depthTest;\n\t\tif ( json.depthWrite !== undefined ) material.depthWrite = json.depthWrite;\n\t\tif ( json.colorWrite !== undefined ) material.colorWrite = json.colorWrite;\n\t\tif ( json.blendSrc !== undefined ) material.blendSrc = json.blendSrc;\n\t\tif ( json.blendDst !== undefined ) material.blendDst = json.blendDst;\n\t\tif ( json.blendEquation !== undefined ) material.blendEquation = json.blendEquation;\n\t\tif ( json.blendSrcAlpha !== undefined ) material.blendSrcAlpha = json.blendSrcAlpha;\n\t\tif ( json.blendDstAlpha !== undefined ) material.blendDstAlpha = json.blendDstAlpha;\n\t\tif ( json.blendEquationAlpha !== undefined ) material.blendEquationAlpha = json.blendEquationAlpha;\n\t\tif ( json.blendColor !== undefined && material.blendColor !== undefined ) material.blendColor.setHex( json.blendColor );\n\t\tif ( json.blendAlpha !== undefined ) material.blendAlpha = json.blendAlpha;\n\t\tif ( json.stencilWriteMask !== undefined ) material.stencilWriteMask = json.stencilWriteMask;\n\t\tif ( json.stencilFunc !== undefined ) material.stencilFunc = json.stencilFunc;\n\t\tif ( json.stencilRef !== undefined ) material.stencilRef = json.stencilRef;\n\t\tif ( json.stencilFuncMask !== undefined ) material.stencilFuncMask = json.stencilFuncMask;\n\t\tif ( json.stencilFail !== undefined ) material.stencilFail = json.stencilFail;\n\t\tif ( json.stencilZFail !== undefined ) material.stencilZFail = json.stencilZFail;\n\t\tif ( json.stencilZPass !== undefined ) material.stencilZPass = json.stencilZPass;\n\t\tif ( json.stencilWrite !== undefined ) material.stencilWrite = json.stencilWrite;\n\n\t\tif ( json.wireframe !== undefined ) material.wireframe = json.wireframe;\n\t\tif ( json.wireframeLinewidth !== undefined ) material.wireframeLinewidth = json.wireframeLinewidth;\n\t\tif ( json.wireframeLinecap !== undefined ) material.wireframeLinecap = json.wireframeLinecap;\n\t\tif ( json.wireframeLinejoin !== undefined ) material.wireframeLinejoin = json.wireframeLinejoin;\n\n\t\tif ( json.rotation !== undefined ) material.rotation = json.rotation;\n\n\t\tif ( json.linewidth !== undefined ) material.linewidth = json.linewidth;\n\t\tif ( json.dashSize !== undefined ) material.dashSize = json.dashSize;\n\t\tif ( json.gapSize !== undefined ) material.gapSize = json.gapSize;\n\t\tif ( json.scale !== undefined ) material.scale = json.scale;\n\n\t\tif ( json.polygonOffset !== undefined ) material.polygonOffset = json.polygonOffset;\n\t\tif ( json.polygonOffsetFactor !== undefined ) material.polygonOffsetFactor = json.polygonOffsetFactor;\n\t\tif ( json.polygonOffsetUnits !== undefined ) material.polygonOffsetUnits = json.polygonOffsetUnits;\n\n\t\tif ( json.dithering !== undefined ) material.dithering = json.dithering;\n\n\t\tif ( json.alphaToCoverage !== undefined ) material.alphaToCoverage = json.alphaToCoverage;\n\t\tif ( json.premultipliedAlpha !== undefined ) material.premultipliedAlpha = json.premultipliedAlpha;\n\t\tif ( json.forceSinglePass !== undefined ) material.forceSinglePass = json.forceSinglePass;\n\n\t\tif ( json.visible !== undefined ) material.visible = json.visible;\n\n\t\tif ( json.toneMapped !== undefined ) material.toneMapped = json.toneMapped;\n\n\t\tif ( json.userData !== undefined ) material.userData = json.userData;\n\n\t\tif ( json.vertexColors !== undefined ) {\n\n\t\t\tif ( typeof json.vertexColors === 'number' ) {\n\n\t\t\t\tmaterial.vertexColors = ( json.vertexColors > 0 ) ? true : false;\n\n\t\t\t} else {\n\n\t\t\t\tmaterial.vertexColors = json.vertexColors;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Shader Material\n\n\t\tif ( json.uniforms !== undefined ) {\n\n\t\t\tfor ( const name in json.uniforms ) {\n\n\t\t\t\tconst uniform = json.uniforms[ name ];\n\n\t\t\t\tmaterial.uniforms[ name ] = {};\n\n\t\t\t\tswitch ( uniform.type ) {\n\n\t\t\t\t\tcase 't':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = getTexture( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'c':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Color().setHex( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v2':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector2().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v3':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector3().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'v4':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Vector4().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'm3':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Matrix3().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tcase 'm4':\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = new Matrix4().fromArray( uniform.value );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tmaterial.uniforms[ name ].value = uniform.value;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json.defines !== undefined ) material.defines = json.defines;\n\t\tif ( json.vertexShader !== undefined ) material.vertexShader = json.vertexShader;\n\t\tif ( json.fragmentShader !== undefined ) material.fragmentShader = json.fragmentShader;\n\t\tif ( json.glslVersion !== undefined ) material.glslVersion = json.glslVersion;\n\n\t\tif ( json.extensions !== undefined ) {\n\n\t\t\tfor ( const key in json.extensions ) {\n\n\t\t\t\tmaterial.extensions[ key ] = json.extensions[ key ];\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json.lights !== undefined ) material.lights = json.lights;\n\t\tif ( json.clipping !== undefined ) material.clipping = json.clipping;\n\n\t\t// for PointsMaterial\n\n\t\tif ( json.size !== undefined ) material.size = json.size;\n\t\tif ( json.sizeAttenuation !== undefined ) material.sizeAttenuation = json.sizeAttenuation;\n\n\t\t// maps\n\n\t\tif ( json.map !== undefined ) material.map = getTexture( json.map );\n\t\tif ( json.matcap !== undefined ) material.matcap = getTexture( json.matcap );\n\n\t\tif ( json.alphaMap !== undefined ) material.alphaMap = getTexture( json.alphaMap );\n\n\t\tif ( json.bumpMap !== undefined ) material.bumpMap = getTexture( json.bumpMap );\n\t\tif ( json.bumpScale !== undefined ) material.bumpScale = json.bumpScale;\n\n\t\tif ( json.normalMap !== undefined ) material.normalMap = getTexture( json.normalMap );\n\t\tif ( json.normalMapType !== undefined ) material.normalMapType = json.normalMapType;\n\t\tif ( json.normalScale !== undefined ) {\n\n\t\t\tlet normalScale = json.normalScale;\n\n\t\t\tif ( Array.isArray( normalScale ) === false ) {\n\n\t\t\t\t// Blender exporter used to export a scalar. See #7459\n\n\t\t\t\tnormalScale = [ normalScale, normalScale ];\n\n\t\t\t}\n\n\t\t\tmaterial.normalScale = new Vector2().fromArray( normalScale );\n\n\t\t}\n\n\t\tif ( json.displacementMap !== undefined ) material.displacementMap = getTexture( json.displacementMap );\n\t\tif ( json.displacementScale !== undefined ) material.displacementScale = json.displacementScale;\n\t\tif ( json.displacementBias !== undefined ) material.displacementBias = json.displacementBias;\n\n\t\tif ( json.roughnessMap !== undefined ) material.roughnessMap = getTexture( json.roughnessMap );\n\t\tif ( json.metalnessMap !== undefined ) material.metalnessMap = getTexture( json.metalnessMap );\n\n\t\tif ( json.emissiveMap !== undefined ) material.emissiveMap = getTexture( json.emissiveMap );\n\t\tif ( json.emissiveIntensity !== undefined ) material.emissiveIntensity = json.emissiveIntensity;\n\n\t\tif ( json.specularMap !== undefined ) material.specularMap = getTexture( json.specularMap );\n\t\tif ( json.specularIntensityMap !== undefined ) material.specularIntensityMap = getTexture( json.specularIntensityMap );\n\t\tif ( json.specularColorMap !== undefined ) material.specularColorMap = getTexture( json.specularColorMap );\n\n\t\tif ( json.envMap !== undefined ) material.envMap = getTexture( json.envMap );\n\t\tif ( json.envMapIntensity !== undefined ) material.envMapIntensity = json.envMapIntensity;\n\n\t\tif ( json.reflectivity !== undefined ) material.reflectivity = json.reflectivity;\n\t\tif ( json.refractionRatio !== undefined ) material.refractionRatio = json.refractionRatio;\n\n\t\tif ( json.lightMap !== undefined ) material.lightMap = getTexture( json.lightMap );\n\t\tif ( json.lightMapIntensity !== undefined ) material.lightMapIntensity = json.lightMapIntensity;\n\n\t\tif ( json.aoMap !== undefined ) material.aoMap = getTexture( json.aoMap );\n\t\tif ( json.aoMapIntensity !== undefined ) material.aoMapIntensity = json.aoMapIntensity;\n\n\t\tif ( json.gradientMap !== undefined ) material.gradientMap = getTexture( json.gradientMap );\n\n\t\tif ( json.clearcoatMap !== undefined ) material.clearcoatMap = getTexture( json.clearcoatMap );\n\t\tif ( json.clearcoatRoughnessMap !== undefined ) material.clearcoatRoughnessMap = getTexture( json.clearcoatRoughnessMap );\n\t\tif ( json.clearcoatNormalMap !== undefined ) material.clearcoatNormalMap = getTexture( json.clearcoatNormalMap );\n\t\tif ( json.clearcoatNormalScale !== undefined ) material.clearcoatNormalScale = new Vector2().fromArray( json.clearcoatNormalScale );\n\n\t\tif ( json.iridescenceMap !== undefined ) material.iridescenceMap = getTexture( json.iridescenceMap );\n\t\tif ( json.iridescenceThicknessMap !== undefined ) material.iridescenceThicknessMap = getTexture( json.iridescenceThicknessMap );\n\n\t\tif ( json.transmissionMap !== undefined ) material.transmissionMap = getTexture( json.transmissionMap );\n\t\tif ( json.thicknessMap !== undefined ) material.thicknessMap = getTexture( json.thicknessMap );\n\n\t\tif ( json.anisotropyMap !== undefined ) material.anisotropyMap = getTexture( json.anisotropyMap );\n\n\t\tif ( json.sheenColorMap !== undefined ) material.sheenColorMap = getTexture( json.sheenColorMap );\n\t\tif ( json.sheenRoughnessMap !== undefined ) material.sheenRoughnessMap = getTexture( json.sheenRoughnessMap );\n\n\t\treturn material;\n\n\t}\n\n\tsetTextures( value ) {\n\n\t\tthis.textures = value;\n\t\treturn this;\n\n\t}\n\n\tstatic createMaterialFromType( type ) {\n\n\t\tconst materialLib = {\n\t\t\tShadowMaterial,\n\t\t\tSpriteMaterial,\n\t\t\tRawShaderMaterial,\n\t\t\tShaderMaterial,\n\t\t\tPointsMaterial,\n\t\t\tMeshPhysicalMaterial,\n\t\t\tMeshStandardMaterial,\n\t\t\tMeshPhongMaterial,\n\t\t\tMeshToonMaterial,\n\t\t\tMeshNormalMaterial,\n\t\t\tMeshLambertMaterial,\n\t\t\tMeshDepthMaterial,\n\t\t\tMeshDistanceMaterial,\n\t\t\tMeshBasicMaterial,\n\t\t\tMeshMatcapMaterial,\n\t\t\tLineDashedMaterial,\n\t\t\tLineBasicMaterial,\n\t\t\tMaterial\n\t\t};\n\n\t\treturn new materialLib[ type ]();\n\n\t}\n\n}\n\nclass LoaderUtils {\n\n\tstatic decodeText( array ) {\n\n\t\tif ( typeof TextDecoder !== 'undefined' ) {\n\n\t\t\treturn new TextDecoder().decode( array );\n\n\t\t}\n\n\t\t// Avoid the String.fromCharCode.apply(null, array) shortcut, which\n\t\t// throws a \"maximum call stack size exceeded\" error for large arrays.\n\n\t\tlet s = '';\n\n\t\tfor ( let i = 0, il = array.length; i < il; i ++ ) {\n\n\t\t\t// Implicitly assumes little-endian.\n\t\t\ts += String.fromCharCode( array[ i ] );\n\n\t\t}\n\n\t\ttry {\n\n\t\t\t// merges multi-byte utf-8 characters.\n\n\t\t\treturn decodeURIComponent( escape( s ) );\n\n\t\t} catch ( e ) { // see #16358\n\n\t\t\treturn s;\n\n\t\t}\n\n\t}\n\n\tstatic extractUrlBase( url ) {\n\n\t\tconst index = url.lastIndexOf( '/' );\n\n\t\tif ( index === - 1 ) return './';\n\n\t\treturn url.slice( 0, index + 1 );\n\n\t}\n\n\tstatic resolveURL( url, path ) {\n\n\t\t// Invalid URL\n\t\tif ( typeof url !== 'string' || url === '' ) return '';\n\n\t\t// Host Relative URL\n\t\tif ( /^https?:\\/\\//i.test( path ) && /^\\//.test( url ) ) {\n\n\t\t\tpath = path.replace( /(^https?:\\/\\/[^\\/]+).*/i, '$1' );\n\n\t\t}\n\n\t\t// Absolute URL http://,https://,//\n\t\tif ( /^(https?:)?\\/\\//i.test( url ) ) return url;\n\n\t\t// Data URI\n\t\tif ( /^data:.*,.*$/i.test( url ) ) return url;\n\n\t\t// Blob URL\n\t\tif ( /^blob:.*$/i.test( url ) ) return url;\n\n\t\t// Relative URL\n\t\treturn path + url;\n\n\t}\n\n}\n\nclass InstancedBufferGeometry extends BufferGeometry {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isInstancedBufferGeometry = true;\n\n\t\tthis.type = 'InstancedBufferGeometry';\n\t\tthis.instanceCount = Infinity;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.instanceCount = source.instanceCount;\n\n\t\treturn this;\n\n\t}\n\n\ttoJSON() {\n\n\t\tconst data = super.toJSON();\n\n\t\tdata.instanceCount = this.instanceCount;\n\n\t\tdata.isInstancedBufferGeometry = true;\n\n\t\treturn data;\n\n\t}\n\n}\n\nclass BufferGeometryLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( scope.manager );\n\t\tloader.setPath( scope.path );\n\t\tloader.setRequestHeader( scope.requestHeader );\n\t\tloader.setWithCredentials( scope.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\ttry {\n\n\t\t\t\tonLoad( scope.parse( JSON.parse( text ) ) );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\tif ( onError ) {\n\n\t\t\t\t\tonError( e );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tconsole.error( e );\n\n\t\t\t\t}\n\n\t\t\t\tscope.manager.itemError( url );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tparse( json ) {\n\n\t\tconst interleavedBufferMap = {};\n\t\tconst arrayBufferMap = {};\n\n\t\tfunction getInterleavedBuffer( json, uuid ) {\n\n\t\t\tif ( interleavedBufferMap[ uuid ] !== undefined ) return interleavedBufferMap[ uuid ];\n\n\t\t\tconst interleavedBuffers = json.interleavedBuffers;\n\t\t\tconst interleavedBuffer = interleavedBuffers[ uuid ];\n\n\t\t\tconst buffer = getArrayBuffer( json, interleavedBuffer.buffer );\n\n\t\t\tconst array = getTypedArray( interleavedBuffer.type, buffer );\n\t\t\tconst ib = new InterleavedBuffer( array, interleavedBuffer.stride );\n\t\t\tib.uuid = interleavedBuffer.uuid;\n\n\t\t\tinterleavedBufferMap[ uuid ] = ib;\n\n\t\t\treturn ib;\n\n\t\t}\n\n\t\tfunction getArrayBuffer( json, uuid ) {\n\n\t\t\tif ( arrayBufferMap[ uuid ] !== undefined ) return arrayBufferMap[ uuid ];\n\n\t\t\tconst arrayBuffers = json.arrayBuffers;\n\t\t\tconst arrayBuffer = arrayBuffers[ uuid ];\n\n\t\t\tconst ab = new Uint32Array( arrayBuffer ).buffer;\n\n\t\t\tarrayBufferMap[ uuid ] = ab;\n\n\t\t\treturn ab;\n\n\t\t}\n\n\t\tconst geometry = json.isInstancedBufferGeometry ? new InstancedBufferGeometry() : new BufferGeometry();\n\n\t\tconst index = json.data.index;\n\n\t\tif ( index !== undefined ) {\n\n\t\t\tconst typedArray = getTypedArray( index.type, index.array );\n\t\t\tgeometry.setIndex( new BufferAttribute( typedArray, 1 ) );\n\n\t\t}\n\n\t\tconst attributes = json.data.attributes;\n\n\t\tfor ( const key in attributes ) {\n\n\t\t\tconst attribute = attributes[ key ];\n\t\t\tlet bufferAttribute;\n\n\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\tconst interleavedBuffer = getInterleavedBuffer( json.data, attribute.data );\n\t\t\t\tbufferAttribute = new InterleavedBufferAttribute( interleavedBuffer, attribute.itemSize, attribute.offset, attribute.normalized );\n\n\t\t\t} else {\n\n\t\t\t\tconst typedArray = getTypedArray( attribute.type, attribute.array );\n\t\t\t\tconst bufferAttributeConstr = attribute.isInstancedBufferAttribute ? InstancedBufferAttribute : BufferAttribute;\n\t\t\t\tbufferAttribute = new bufferAttributeConstr( typedArray, attribute.itemSize, attribute.normalized );\n\n\t\t\t}\n\n\t\t\tif ( attribute.name !== undefined ) bufferAttribute.name = attribute.name;\n\t\t\tif ( attribute.usage !== undefined ) bufferAttribute.setUsage( attribute.usage );\n\n\t\t\tgeometry.setAttribute( key, bufferAttribute );\n\n\t\t}\n\n\t\tconst morphAttributes = json.data.morphAttributes;\n\n\t\tif ( morphAttributes ) {\n\n\t\t\tfor ( const key in morphAttributes ) {\n\n\t\t\t\tconst attributeArray = morphAttributes[ key ];\n\n\t\t\t\tconst array = [];\n\n\t\t\t\tfor ( let i = 0, il = attributeArray.length; i < il; i ++ ) {\n\n\t\t\t\t\tconst attribute = attributeArray[ i ];\n\t\t\t\t\tlet bufferAttribute;\n\n\t\t\t\t\tif ( attribute.isInterleavedBufferAttribute ) {\n\n\t\t\t\t\t\tconst interleavedBuffer = getInterleavedBuffer( json.data, attribute.data );\n\t\t\t\t\t\tbufferAttribute = new InterleavedBufferAttribute( interleavedBuffer, attribute.itemSize, attribute.offset, attribute.normalized );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst typedArray = getTypedArray( attribute.type, attribute.array );\n\t\t\t\t\t\tbufferAttribute = new BufferAttribute( typedArray, attribute.itemSize, attribute.normalized );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( attribute.name !== undefined ) bufferAttribute.name = attribute.name;\n\t\t\t\t\tarray.push( bufferAttribute );\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.morphAttributes[ key ] = array;\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst morphTargetsRelative = json.data.morphTargetsRelative;\n\n\t\tif ( morphTargetsRelative ) {\n\n\t\t\tgeometry.morphTargetsRelative = true;\n\n\t\t}\n\n\t\tconst groups = json.data.groups || json.data.drawcalls || json.data.offsets;\n\n\t\tif ( groups !== undefined ) {\n\n\t\t\tfor ( let i = 0, n = groups.length; i !== n; ++ i ) {\n\n\t\t\t\tconst group = groups[ i ];\n\n\t\t\t\tgeometry.addGroup( group.start, group.count, group.materialIndex );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst boundingSphere = json.data.boundingSphere;\n\n\t\tif ( boundingSphere !== undefined ) {\n\n\t\t\tconst center = new Vector3();\n\n\t\t\tif ( boundingSphere.center !== undefined ) {\n\n\t\t\t\tcenter.fromArray( boundingSphere.center );\n\n\t\t\t}\n\n\t\t\tgeometry.boundingSphere = new Sphere( center, boundingSphere.radius );\n\n\t\t}\n\n\t\tif ( json.name ) geometry.name = json.name;\n\t\tif ( json.userData ) geometry.userData = json.userData;\n\n\t\treturn geometry;\n\n\t}\n\n}\n\nclass ObjectLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst path = ( this.path === '' ) ? LoaderUtils.extractUrlBase( url ) : this.path;\n\t\tthis.resourcePath = this.resourcePath || path;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( text ) {\n\n\t\t\tlet json = null;\n\n\t\t\ttry {\n\n\t\t\t\tjson = JSON.parse( text );\n\n\t\t\t} catch ( error ) {\n\n\t\t\t\tif ( onError !== undefined ) onError( error );\n\n\t\t\t\tconsole.error( 'THREE:ObjectLoader: Can\\'t parse ' + url + '.', error.message );\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tconst metadata = json.metadata;\n\n\t\t\tif ( metadata === undefined || metadata.type === undefined || metadata.type.toLowerCase() === 'geometry' ) {\n\n\t\t\t\tif ( onError !== undefined ) onError( new Error( 'THREE.ObjectLoader: Can\\'t load ' + url ) );\n\n\t\t\t\tconsole.error( 'THREE.ObjectLoader: Can\\'t load ' + url );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tscope.parse( json, onLoad );\n\n\t\t}, onProgress, onError );\n\n\t}\n\n\tasync loadAsync( url, onProgress ) {\n\n\t\tconst scope = this;\n\n\t\tconst path = ( this.path === '' ) ? LoaderUtils.extractUrlBase( url ) : this.path;\n\t\tthis.resourcePath = this.resourcePath || path;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\n\t\tconst text = await loader.loadAsync( url, onProgress );\n\n\t\tconst json = JSON.parse( text );\n\n\t\tconst metadata = json.metadata;\n\n\t\tif ( metadata === undefined || metadata.type === undefined || metadata.type.toLowerCase() === 'geometry' ) {\n\n\t\t\tthrow new Error( 'THREE.ObjectLoader: Can\\'t load ' + url );\n\n\t\t}\n\n\t\treturn await scope.parseAsync( json );\n\n\t}\n\n\tparse( json, onLoad ) {\n\n\t\tconst animations = this.parseAnimations( json.animations );\n\t\tconst shapes = this.parseShapes( json.shapes );\n\t\tconst geometries = this.parseGeometries( json.geometries, shapes );\n\n\t\tconst images = this.parseImages( json.images, function () {\n\n\t\t\tif ( onLoad !== undefined ) onLoad( object );\n\n\t\t} );\n\n\t\tconst textures = this.parseTextures( json.textures, images );\n\t\tconst materials = this.parseMaterials( json.materials, textures );\n\n\t\tconst object = this.parseObject( json.object, geometries, materials, textures, animations );\n\t\tconst skeletons = this.parseSkeletons( json.skeletons, object );\n\n\t\tthis.bindSkeletons( object, skeletons );\n\n\t\t//\n\n\t\tif ( onLoad !== undefined ) {\n\n\t\t\tlet hasImages = false;\n\n\t\t\tfor ( const uuid in images ) {\n\n\t\t\t\tif ( images[ uuid ].data instanceof HTMLImageElement ) {\n\n\t\t\t\t\thasImages = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( hasImages === false ) onLoad( object );\n\n\t\t}\n\n\t\treturn object;\n\n\t}\n\n\tasync parseAsync( json ) {\n\n\t\tconst animations = this.parseAnimations( json.animations );\n\t\tconst shapes = this.parseShapes( json.shapes );\n\t\tconst geometries = this.parseGeometries( json.geometries, shapes );\n\n\t\tconst images = await this.parseImagesAsync( json.images );\n\n\t\tconst textures = this.parseTextures( json.textures, images );\n\t\tconst materials = this.parseMaterials( json.materials, textures );\n\n\t\tconst object = this.parseObject( json.object, geometries, materials, textures, animations );\n\t\tconst skeletons = this.parseSkeletons( json.skeletons, object );\n\n\t\tthis.bindSkeletons( object, skeletons );\n\n\t\treturn object;\n\n\t}\n\n\tparseShapes( json ) {\n\n\t\tconst shapes = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst shape = new Shape().fromJSON( json[ i ] );\n\n\t\t\t\tshapes[ shape.uuid ] = shape;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn shapes;\n\n\t}\n\n\tparseSkeletons( json, object ) {\n\n\t\tconst skeletons = {};\n\t\tconst bones = {};\n\n\t\t// generate bone lookup table\n\n\t\tobject.traverse( function ( child ) {\n\n\t\t\tif ( child.isBone ) bones[ child.uuid ] = child;\n\n\t\t} );\n\n\t\t// create skeletons\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst skeleton = new Skeleton().fromJSON( json[ i ], bones );\n\n\t\t\t\tskeletons[ skeleton.uuid ] = skeleton;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn skeletons;\n\n\t}\n\n\tparseGeometries( json, shapes ) {\n\n\t\tconst geometries = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tconst bufferGeometryLoader = new BufferGeometryLoader();\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tlet geometry;\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tswitch ( data.type ) {\n\n\t\t\t\t\tcase 'BufferGeometry':\n\t\t\t\t\tcase 'InstancedBufferGeometry':\n\n\t\t\t\t\t\tgeometry = bufferGeometryLoader.parse( data );\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\tdefault:\n\n\t\t\t\t\t\tif ( data.type in Geometries ) {\n\n\t\t\t\t\t\t\tgeometry = Geometries[ data.type ].fromJSON( data, shapes );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tconsole.warn( `THREE.ObjectLoader: Unsupported geometry type \"${ data.type }\"` );\n\n\t\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tgeometry.uuid = data.uuid;\n\n\t\t\t\tif ( data.name !== undefined ) geometry.name = data.name;\n\t\t\t\tif ( data.userData !== undefined ) geometry.userData = data.userData;\n\n\t\t\t\tgeometries[ data.uuid ] = geometry;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn geometries;\n\n\t}\n\n\tparseMaterials( json, textures ) {\n\n\t\tconst cache = {}; // MultiMaterial\n\t\tconst materials = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tconst loader = new MaterialLoader();\n\t\t\tloader.setTextures( textures );\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tif ( cache[ data.uuid ] === undefined ) {\n\n\t\t\t\t\tcache[ data.uuid ] = loader.parse( data );\n\n\t\t\t\t}\n\n\t\t\t\tmaterials[ data.uuid ] = cache[ data.uuid ];\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn materials;\n\n\t}\n\n\tparseAnimations( json ) {\n\n\t\tconst animations = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0; i < json.length; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tconst clip = AnimationClip.parse( data );\n\n\t\t\t\tanimations[ clip.uuid ] = clip;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn animations;\n\n\t}\n\n\tparseImages( json, onLoad ) {\n\n\t\tconst scope = this;\n\t\tconst images = {};\n\n\t\tlet loader;\n\n\t\tfunction loadImage( url ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\treturn loader.load( url, function () {\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, undefined, function () {\n\n\t\t\t\tscope.manager.itemError( url );\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t} );\n\n\t\t}\n\n\t\tfunction deserializeImage( image ) {\n\n\t\t\tif ( typeof image === 'string' ) {\n\n\t\t\t\tconst url = image;\n\n\t\t\t\tconst path = /^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test( url ) ? url : scope.resourcePath + url;\n\n\t\t\t\treturn loadImage( path );\n\n\t\t\t} else {\n\n\t\t\t\tif ( image.data ) {\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: getTypedArray( image.type, image.data ),\n\t\t\t\t\t\twidth: image.width,\n\t\t\t\t\t\theight: image.height\n\t\t\t\t\t};\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json !== undefined && json.length > 0 ) {\n\n\t\t\tconst manager = new LoadingManager( onLoad );\n\n\t\t\tloader = new ImageLoader( manager );\n\t\t\tloader.setCrossOrigin( this.crossOrigin );\n\n\t\t\tfor ( let i = 0, il = json.length; i < il; i ++ ) {\n\n\t\t\t\tconst image = json[ i ];\n\t\t\t\tconst url = image.url;\n\n\t\t\t\tif ( Array.isArray( url ) ) {\n\n\t\t\t\t\t// load array of images e.g CubeTexture\n\n\t\t\t\t\tconst imageArray = [];\n\n\t\t\t\t\tfor ( let j = 0, jl = url.length; j < jl; j ++ ) {\n\n\t\t\t\t\t\tconst currentUrl = url[ j ];\n\n\t\t\t\t\t\tconst deserializedImage = deserializeImage( currentUrl );\n\n\t\t\t\t\t\tif ( deserializedImage !== null ) {\n\n\t\t\t\t\t\t\tif ( deserializedImage instanceof HTMLImageElement ) {\n\n\t\t\t\t\t\t\t\timageArray.push( deserializedImage );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t// special case: handle array of data textures for cube textures\n\n\t\t\t\t\t\t\t\timageArray.push( new DataTexture( deserializedImage.data, deserializedImage.width, deserializedImage.height ) );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\timages[ image.uuid ] = new Source( imageArray );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// load single image\n\n\t\t\t\t\tconst deserializedImage = deserializeImage( image.url );\n\t\t\t\t\timages[ image.uuid ] = new Source( deserializedImage );\n\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn images;\n\n\t}\n\n\tasync parseImagesAsync( json ) {\n\n\t\tconst scope = this;\n\t\tconst images = {};\n\n\t\tlet loader;\n\n\t\tasync function deserializeImage( image ) {\n\n\t\t\tif ( typeof image === 'string' ) {\n\n\t\t\t\tconst url = image;\n\n\t\t\t\tconst path = /^(\\/\\/)|([a-z]+:(\\/\\/)?)/i.test( url ) ? url : scope.resourcePath + url;\n\n\t\t\t\treturn await loader.loadAsync( path );\n\n\t\t\t} else {\n\n\t\t\t\tif ( image.data ) {\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tdata: getTypedArray( image.type, image.data ),\n\t\t\t\t\t\twidth: image.width,\n\t\t\t\t\t\theight: image.height\n\t\t\t\t\t};\n\n\t\t\t\t} else {\n\n\t\t\t\t\treturn null;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( json !== undefined && json.length > 0 ) {\n\n\t\t\tloader = new ImageLoader( this.manager );\n\t\t\tloader.setCrossOrigin( this.crossOrigin );\n\n\t\t\tfor ( let i = 0, il = json.length; i < il; i ++ ) {\n\n\t\t\t\tconst image = json[ i ];\n\t\t\t\tconst url = image.url;\n\n\t\t\t\tif ( Array.isArray( url ) ) {\n\n\t\t\t\t\t// load array of images e.g CubeTexture\n\n\t\t\t\t\tconst imageArray = [];\n\n\t\t\t\t\tfor ( let j = 0, jl = url.length; j < jl; j ++ ) {\n\n\t\t\t\t\t\tconst currentUrl = url[ j ];\n\n\t\t\t\t\t\tconst deserializedImage = await deserializeImage( currentUrl );\n\n\t\t\t\t\t\tif ( deserializedImage !== null ) {\n\n\t\t\t\t\t\t\tif ( deserializedImage instanceof HTMLImageElement ) {\n\n\t\t\t\t\t\t\t\timageArray.push( deserializedImage );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t// special case: handle array of data textures for cube textures\n\n\t\t\t\t\t\t\t\timageArray.push( new DataTexture( deserializedImage.data, deserializedImage.width, deserializedImage.height ) );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\timages[ image.uuid ] = new Source( imageArray );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// load single image\n\n\t\t\t\t\tconst deserializedImage = await deserializeImage( image.url );\n\t\t\t\t\timages[ image.uuid ] = new Source( deserializedImage );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn images;\n\n\t}\n\n\tparseTextures( json, images ) {\n\n\t\tfunction parseConstant( value, type ) {\n\n\t\t\tif ( typeof value === 'number' ) return value;\n\n\t\t\tconsole.warn( 'THREE.ObjectLoader.parseTexture: Constant should be in numeric form.', value );\n\n\t\t\treturn type[ value ];\n\n\t\t}\n\n\t\tconst textures = {};\n\n\t\tif ( json !== undefined ) {\n\n\t\t\tfor ( let i = 0, l = json.length; i < l; i ++ ) {\n\n\t\t\t\tconst data = json[ i ];\n\n\t\t\t\tif ( data.image === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: No \"image\" specified for', data.uuid );\n\n\t\t\t\t}\n\n\t\t\t\tif ( images[ data.image ] === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined image', data.image );\n\n\t\t\t\t}\n\n\t\t\t\tconst source = images[ data.image ];\n\t\t\t\tconst image = source.data;\n\n\t\t\t\tlet texture;\n\n\t\t\t\tif ( Array.isArray( image ) ) {\n\n\t\t\t\t\ttexture = new CubeTexture();\n\n\t\t\t\t\tif ( image.length === 6 ) texture.needsUpdate = true;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif ( image && image.data ) {\n\n\t\t\t\t\t\ttexture = new DataTexture();\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\ttexture = new Texture();\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( image ) texture.needsUpdate = true; // textures can have undefined image data\n\n\t\t\t\t}\n\n\t\t\t\ttexture.source = source;\n\n\t\t\t\ttexture.uuid = data.uuid;\n\n\t\t\t\tif ( data.name !== undefined ) texture.name = data.name;\n\n\t\t\t\tif ( data.mapping !== undefined ) texture.mapping = parseConstant( data.mapping, TEXTURE_MAPPING );\n\t\t\t\tif ( data.channel !== undefined ) texture.channel = data.channel;\n\n\t\t\t\tif ( data.offset !== undefined ) texture.offset.fromArray( data.offset );\n\t\t\t\tif ( data.repeat !== undefined ) texture.repeat.fromArray( data.repeat );\n\t\t\t\tif ( data.center !== undefined ) texture.center.fromArray( data.center );\n\t\t\t\tif ( data.rotation !== undefined ) texture.rotation = data.rotation;\n\n\t\t\t\tif ( data.wrap !== undefined ) {\n\n\t\t\t\t\ttexture.wrapS = parseConstant( data.wrap[ 0 ], TEXTURE_WRAPPING );\n\t\t\t\t\ttexture.wrapT = parseConstant( data.wrap[ 1 ], TEXTURE_WRAPPING );\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.format !== undefined ) texture.format = data.format;\n\t\t\t\tif ( data.internalFormat !== undefined ) texture.internalFormat = data.internalFormat;\n\t\t\t\tif ( data.type !== undefined ) texture.type = data.type;\n\t\t\t\tif ( data.colorSpace !== undefined ) texture.colorSpace = data.colorSpace;\n\t\t\t\tif ( data.encoding !== undefined ) texture.encoding = data.encoding; // @deprecated, r152\n\n\t\t\t\tif ( data.minFilter !== undefined ) texture.minFilter = parseConstant( data.minFilter, TEXTURE_FILTER );\n\t\t\t\tif ( data.magFilter !== undefined ) texture.magFilter = parseConstant( data.magFilter, TEXTURE_FILTER );\n\t\t\t\tif ( data.anisotropy !== undefined ) texture.anisotropy = data.anisotropy;\n\n\t\t\t\tif ( data.flipY !== undefined ) texture.flipY = data.flipY;\n\n\t\t\t\tif ( data.generateMipmaps !== undefined ) texture.generateMipmaps = data.generateMipmaps;\n\t\t\t\tif ( data.premultiplyAlpha !== undefined ) texture.premultiplyAlpha = data.premultiplyAlpha;\n\t\t\t\tif ( data.unpackAlignment !== undefined ) texture.unpackAlignment = data.unpackAlignment;\n\t\t\t\tif ( data.compareFunction !== undefined ) texture.compareFunction = data.compareFunction;\n\n\t\t\t\tif ( data.userData !== undefined ) texture.userData = data.userData;\n\n\t\t\t\ttextures[ data.uuid ] = texture;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn textures;\n\n\t}\n\n\tparseObject( data, geometries, materials, textures, animations ) {\n\n\t\tlet object;\n\n\t\tfunction getGeometry( name ) {\n\n\t\t\tif ( geometries[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined geometry', name );\n\n\t\t\t}\n\n\t\t\treturn geometries[ name ];\n\n\t\t}\n\n\t\tfunction getMaterial( name ) {\n\n\t\t\tif ( name === undefined ) return undefined;\n\n\t\t\tif ( Array.isArray( name ) ) {\n\n\t\t\t\tconst array = [];\n\n\t\t\t\tfor ( let i = 0, l = name.length; i < l; i ++ ) {\n\n\t\t\t\t\tconst uuid = name[ i ];\n\n\t\t\t\t\tif ( materials[ uuid ] === undefined ) {\n\n\t\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined material', uuid );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tarray.push( materials[ uuid ] );\n\n\t\t\t\t}\n\n\t\t\t\treturn array;\n\n\t\t\t}\n\n\t\t\tif ( materials[ name ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined material', name );\n\n\t\t\t}\n\n\t\t\treturn materials[ name ];\n\n\t\t}\n\n\t\tfunction getTexture( uuid ) {\n\n\t\t\tif ( textures[ uuid ] === undefined ) {\n\n\t\t\t\tconsole.warn( 'THREE.ObjectLoader: Undefined texture', uuid );\n\n\t\t\t}\n\n\t\t\treturn textures[ uuid ];\n\n\t\t}\n\n\t\tlet geometry, material;\n\n\t\tswitch ( data.type ) {\n\n\t\t\tcase 'Scene':\n\n\t\t\t\tobject = new Scene();\n\n\t\t\t\tif ( data.background !== undefined ) {\n\n\t\t\t\t\tif ( Number.isInteger( data.background ) ) {\n\n\t\t\t\t\t\tobject.background = new Color( data.background );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tobject.background = getTexture( data.background );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.environment !== undefined ) {\n\n\t\t\t\t\tobject.environment = getTexture( data.environment );\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.fog !== undefined ) {\n\n\t\t\t\t\tif ( data.fog.type === 'Fog' ) {\n\n\t\t\t\t\t\tobject.fog = new Fog( data.fog.color, data.fog.near, data.fog.far );\n\n\t\t\t\t\t} else if ( data.fog.type === 'FogExp2' ) {\n\n\t\t\t\t\t\tobject.fog = new FogExp2( data.fog.color, data.fog.density );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( data.fog.name !== '' ) {\n\n\t\t\t\t\t\tobject.fog.name = data.fog.name;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tif ( data.backgroundBlurriness !== undefined ) object.backgroundBlurriness = data.backgroundBlurriness;\n\t\t\t\tif ( data.backgroundIntensity !== undefined ) object.backgroundIntensity = data.backgroundIntensity;\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PerspectiveCamera':\n\n\t\t\t\tobject = new PerspectiveCamera( data.fov, data.aspect, data.near, data.far );\n\n\t\t\t\tif ( data.focus !== undefined ) object.focus = data.focus;\n\t\t\t\tif ( data.zoom !== undefined ) object.zoom = data.zoom;\n\t\t\t\tif ( data.filmGauge !== undefined ) object.filmGauge = data.filmGauge;\n\t\t\t\tif ( data.filmOffset !== undefined ) object.filmOffset = data.filmOffset;\n\t\t\t\tif ( data.view !== undefined ) object.view = Object.assign( {}, data.view );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'OrthographicCamera':\n\n\t\t\t\tobject = new OrthographicCamera( data.left, data.right, data.top, data.bottom, data.near, data.far );\n\n\t\t\t\tif ( data.zoom !== undefined ) object.zoom = data.zoom;\n\t\t\t\tif ( data.view !== undefined ) object.view = Object.assign( {}, data.view );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'AmbientLight':\n\n\t\t\t\tobject = new AmbientLight( data.color, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'DirectionalLight':\n\n\t\t\t\tobject = new DirectionalLight( data.color, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PointLight':\n\n\t\t\t\tobject = new PointLight( data.color, data.intensity, data.distance, data.decay );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'RectAreaLight':\n\n\t\t\t\tobject = new RectAreaLight( data.color, data.intensity, data.width, data.height );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'SpotLight':\n\n\t\t\t\tobject = new SpotLight( data.color, data.intensity, data.distance, data.angle, data.penumbra, data.decay );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'HemisphereLight':\n\n\t\t\t\tobject = new HemisphereLight( data.color, data.groundColor, data.intensity );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LightProbe':\n\n\t\t\t\tobject = new LightProbe().fromJSON( data );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'SkinnedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t \tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new SkinnedMesh( geometry, material );\n\n\t\t\t\tif ( data.bindMode !== undefined ) object.bindMode = data.bindMode;\n\t\t\t\tif ( data.bindMatrix !== undefined ) object.bindMatrix.fromArray( data.bindMatrix );\n\t\t\t\tif ( data.skeleton !== undefined ) object.skeleton = data.skeleton;\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Mesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new Mesh( geometry, material );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'InstancedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\t\t\t\tconst count = data.count;\n\t\t\t\tconst instanceMatrix = data.instanceMatrix;\n\t\t\t\tconst instanceColor = data.instanceColor;\n\n\t\t\t\tobject = new InstancedMesh( geometry, material, count );\n\t\t\t\tobject.instanceMatrix = new InstancedBufferAttribute( new Float32Array( instanceMatrix.array ), 16 );\n\t\t\t\tif ( instanceColor !== undefined ) object.instanceColor = new InstancedBufferAttribute( new Float32Array( instanceColor.array ), instanceColor.itemSize );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'BatchedMesh':\n\n\t\t\t\tgeometry = getGeometry( data.geometry );\n\t\t\t\tmaterial = getMaterial( data.material );\n\n\t\t\t\tobject = new BatchedMesh( data.maxGeometryCount, data.maxVertexCount, data.maxIndexCount, material );\n\t\t\t\tobject.geometry = geometry;\n\t\t\t\tobject.perObjectFrustumCulled = data.perObjectFrustumCulled;\n\t\t\t\tobject.sortObjects = data.sortObjects;\n\n\t\t\t\tobject._drawRanges = data.drawRanges;\n\t\t\t\tobject._reservedRanges = data.reservedRanges;\n\n\t\t\t\tobject._visibility = data.visibility;\n\t\t\t\tobject._active = data.active;\n\t\t\t\tobject._bounds = data.bounds.map( bound => {\n\n\t\t\t\t\tconst box = new Box3();\n\t\t\t\t\tbox.min.fromArray( bound.boxMin );\n\t\t\t\t\tbox.max.fromArray( bound.boxMax );\n\n\t\t\t\t\tconst sphere = new Sphere();\n\t\t\t\t\tsphere.radius = bound.sphereRadius;\n\t\t\t\t\tsphere.center.fromArray( bound.sphereCenter );\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\tboxInitialized: bound.boxInitialized,\n\t\t\t\t\t\tbox: box,\n\n\t\t\t\t\t\tsphereInitialized: bound.sphereInitialized,\n\t\t\t\t\t\tsphere: sphere\n\t\t\t\t\t};\n\n\t\t\t\t} );\n\n\t\t\t\tobject._maxGeometryCount = data.maxGeometryCount;\n\t\t\t\tobject._maxVertexCount = data.maxVertexCount;\n\t\t\t\tobject._maxIndexCount = data.maxIndexCount;\n\n\t\t\t\tobject._geometryInitialized = data.geometryInitialized;\n\t\t\t\tobject._geometryCount = data.geometryCount;\n\n\t\t\t\tobject._matricesTexture = getTexture( data.matricesTexture.uuid );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LOD':\n\n\t\t\t\tobject = new LOD();\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Line':\n\n\t\t\t\tobject = new Line( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LineLoop':\n\n\t\t\t\tobject = new LineLoop( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'LineSegments':\n\n\t\t\t\tobject = new LineSegments( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'PointCloud':\n\t\t\tcase 'Points':\n\n\t\t\t\tobject = new Points( getGeometry( data.geometry ), getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Sprite':\n\n\t\t\t\tobject = new Sprite( getMaterial( data.material ) );\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Group':\n\n\t\t\t\tobject = new Group();\n\n\t\t\t\tbreak;\n\n\t\t\tcase 'Bone':\n\n\t\t\t\tobject = new Bone();\n\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\n\t\t\t\tobject = new Object3D();\n\n\t\t}\n\n\t\tobject.uuid = data.uuid;\n\n\t\tif ( data.name !== undefined ) object.name = data.name;\n\n\t\tif ( data.matrix !== undefined ) {\n\n\t\t\tobject.matrix.fromArray( data.matrix );\n\n\t\t\tif ( data.matrixAutoUpdate !== undefined ) object.matrixAutoUpdate = data.matrixAutoUpdate;\n\t\t\tif ( object.matrixAutoUpdate ) object.matrix.decompose( object.position, object.quaternion, object.scale );\n\n\t\t} else {\n\n\t\t\tif ( data.position !== undefined ) object.position.fromArray( data.position );\n\t\t\tif ( data.rotation !== undefined ) object.rotation.fromArray( data.rotation );\n\t\t\tif ( data.quaternion !== undefined ) object.quaternion.fromArray( data.quaternion );\n\t\t\tif ( data.scale !== undefined ) object.scale.fromArray( data.scale );\n\n\t\t}\n\n\t\tif ( data.up !== undefined ) object.up.fromArray( data.up );\n\n\t\tif ( data.castShadow !== undefined ) object.castShadow = data.castShadow;\n\t\tif ( data.receiveShadow !== undefined ) object.receiveShadow = data.receiveShadow;\n\n\t\tif ( data.shadow ) {\n\n\t\t\tif ( data.shadow.bias !== undefined ) object.shadow.bias = data.shadow.bias;\n\t\t\tif ( data.shadow.normalBias !== undefined ) object.shadow.normalBias = data.shadow.normalBias;\n\t\t\tif ( data.shadow.radius !== undefined ) object.shadow.radius = data.shadow.radius;\n\t\t\tif ( data.shadow.mapSize !== undefined ) object.shadow.mapSize.fromArray( data.shadow.mapSize );\n\t\t\tif ( data.shadow.camera !== undefined ) object.shadow.camera = this.parseObject( data.shadow.camera );\n\n\t\t}\n\n\t\tif ( data.visible !== undefined ) object.visible = data.visible;\n\t\tif ( data.frustumCulled !== undefined ) object.frustumCulled = data.frustumCulled;\n\t\tif ( data.renderOrder !== undefined ) object.renderOrder = data.renderOrder;\n\t\tif ( data.userData !== undefined ) object.userData = data.userData;\n\t\tif ( data.layers !== undefined ) object.layers.mask = data.layers;\n\n\t\tif ( data.children !== undefined ) {\n\n\t\t\tconst children = data.children;\n\n\t\t\tfor ( let i = 0; i < children.length; i ++ ) {\n\n\t\t\t\tobject.add( this.parseObject( children[ i ], geometries, materials, textures, animations ) );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( data.animations !== undefined ) {\n\n\t\t\tconst objectAnimations = data.animations;\n\n\t\t\tfor ( let i = 0; i < objectAnimations.length; i ++ ) {\n\n\t\t\t\tconst uuid = objectAnimations[ i ];\n\n\t\t\t\tobject.animations.push( animations[ uuid ] );\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( data.type === 'LOD' ) {\n\n\t\t\tif ( data.autoUpdate !== undefined ) object.autoUpdate = data.autoUpdate;\n\n\t\t\tconst levels = data.levels;\n\n\t\t\tfor ( let l = 0; l < levels.length; l ++ ) {\n\n\t\t\t\tconst level = levels[ l ];\n\t\t\t\tconst child = object.getObjectByProperty( 'uuid', level.object );\n\n\t\t\t\tif ( child !== undefined ) {\n\n\t\t\t\t\tobject.addLevel( child, level.distance, level.hysteresis );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn object;\n\n\t}\n\n\tbindSkeletons( object, skeletons ) {\n\n\t\tif ( Object.keys( skeletons ).length === 0 ) return;\n\n\t\tobject.traverse( function ( child ) {\n\n\t\t\tif ( child.isSkinnedMesh === true && child.skeleton !== undefined ) {\n\n\t\t\t\tconst skeleton = skeletons[ child.skeleton ];\n\n\t\t\t\tif ( skeleton === undefined ) {\n\n\t\t\t\t\tconsole.warn( 'THREE.ObjectLoader: No skeleton found with UUID:', child.skeleton );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tchild.bind( skeleton, child.bindMatrix );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} );\n\n\t}\n\n}\n\nconst TEXTURE_MAPPING = {\n\tUVMapping: UVMapping,\n\tCubeReflectionMapping: CubeReflectionMapping,\n\tCubeRefractionMapping: CubeRefractionMapping,\n\tEquirectangularReflectionMapping: EquirectangularReflectionMapping,\n\tEquirectangularRefractionMapping: EquirectangularRefractionMapping,\n\tCubeUVReflectionMapping: CubeUVReflectionMapping\n};\n\nconst TEXTURE_WRAPPING = {\n\tRepeatWrapping: RepeatWrapping,\n\tClampToEdgeWrapping: ClampToEdgeWrapping,\n\tMirroredRepeatWrapping: MirroredRepeatWrapping\n};\n\nconst TEXTURE_FILTER = {\n\tNearestFilter: NearestFilter,\n\tNearestMipmapNearestFilter: NearestMipmapNearestFilter,\n\tNearestMipmapLinearFilter: NearestMipmapLinearFilter,\n\tLinearFilter: LinearFilter,\n\tLinearMipmapNearestFilter: LinearMipmapNearestFilter,\n\tLinearMipmapLinearFilter: LinearMipmapLinearFilter\n};\n\nclass ImageBitmapLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t\tthis.isImageBitmapLoader = true;\n\n\t\tif ( typeof createImageBitmap === 'undefined' ) {\n\n\t\t\tconsole.warn( 'THREE.ImageBitmapLoader: createImageBitmap() not supported.' );\n\n\t\t}\n\n\t\tif ( typeof fetch === 'undefined' ) {\n\n\t\t\tconsole.warn( 'THREE.ImageBitmapLoader: fetch() not supported.' );\n\n\t\t}\n\n\t\tthis.options = { premultiplyAlpha: 'none' };\n\n\t}\n\n\tsetOptions( options ) {\n\n\t\tthis.options = options;\n\n\t\treturn this;\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tif ( url === undefined ) url = '';\n\n\t\tif ( this.path !== undefined ) url = this.path + url;\n\n\t\turl = this.manager.resolveURL( url );\n\n\t\tconst scope = this;\n\n\t\tconst cached = Cache.get( url );\n\n\t\tif ( cached !== undefined ) {\n\n\t\t\tscope.manager.itemStart( url );\n\n\t\t\t// If cached is a promise, wait for it to resolve\n\t\t\tif ( cached.then ) {\n\n\t\t\t\tcached.then( imageBitmap => {\n\n\t\t\t\t\tif ( onLoad ) onLoad( imageBitmap );\n\n\t\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t\t} ).catch( e => {\n\n\t\t\t\t\tif ( onError ) onError( e );\n\n\t\t\t\t} );\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\t// If cached is not a promise (i.e., it's already an imageBitmap)\n\t\t\tsetTimeout( function () {\n\n\t\t\t\tif ( onLoad ) onLoad( cached );\n\n\t\t\t\tscope.manager.itemEnd( url );\n\n\t\t\t}, 0 );\n\n\t\t\treturn cached;\n\n\t\t}\n\n\t\tconst fetchOptions = {};\n\t\tfetchOptions.credentials = ( this.crossOrigin === 'anonymous' ) ? 'same-origin' : 'include';\n\t\tfetchOptions.headers = this.requestHeader;\n\n\t\tconst promise = fetch( url, fetchOptions ).then( function ( res ) {\n\n\t\t\treturn res.blob();\n\n\t\t} ).then( function ( blob ) {\n\n\t\t\treturn createImageBitmap( blob, Object.assign( scope.options, { colorSpaceConversion: 'none' } ) );\n\n\t\t} ).then( function ( imageBitmap ) {\n\n\t\t\tCache.add( url, imageBitmap );\n\n\t\t\tif ( onLoad ) onLoad( imageBitmap );\n\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t\treturn imageBitmap;\n\n\t\t} ).catch( function ( e ) {\n\n\t\t\tif ( onError ) onError( e );\n\n\t\t\tCache.remove( url );\n\n\t\t\tscope.manager.itemError( url );\n\t\t\tscope.manager.itemEnd( url );\n\n\t\t} );\n\n\t\tCache.add( url, promise );\n\t\tscope.manager.itemStart( url );\n\n\t}\n\n}\n\nlet _context;\n\nclass AudioContext {\n\n\tstatic getContext() {\n\n\t\tif ( _context === undefined ) {\n\n\t\t\t_context = new ( window.AudioContext || window.webkitAudioContext )();\n\n\t\t}\n\n\t\treturn _context;\n\n\t}\n\n\tstatic setContext( value ) {\n\n\t\t_context = value;\n\n\t}\n\n}\n\nclass AudioLoader extends Loader {\n\n\tconstructor( manager ) {\n\n\t\tsuper( manager );\n\n\t}\n\n\tload( url, onLoad, onProgress, onError ) {\n\n\t\tconst scope = this;\n\n\t\tconst loader = new FileLoader( this.manager );\n\t\tloader.setResponseType( 'arraybuffer' );\n\t\tloader.setPath( this.path );\n\t\tloader.setRequestHeader( this.requestHeader );\n\t\tloader.setWithCredentials( this.withCredentials );\n\t\tloader.load( url, function ( buffer ) {\n\n\t\t\ttry {\n\n\t\t\t\t// Create a copy of the buffer. The `decodeAudioData` method\n\t\t\t\t// detaches the buffer when complete, preventing reuse.\n\t\t\t\tconst bufferCopy = buffer.slice( 0 );\n\n\t\t\t\tconst context = AudioContext.getContext();\n\t\t\t\tcontext.decodeAudioData( bufferCopy, function ( audioBuffer ) {\n\n\t\t\t\t\tonLoad( audioBuffer );\n\n\t\t\t\t} ).catch( handleError );\n\n\t\t\t} catch ( e ) {\n\n\t\t\t\thandleError( e );\n\n\t\t\t}\n\n\t\t}, onProgress, onError );\n\n\t\tfunction handleError( e ) {\n\n\t\t\tif ( onError ) {\n\n\t\t\t\tonError( e );\n\n\t\t\t} else {\n\n\t\t\t\tconsole.error( e );\n\n\t\t\t}\n\n\t\t\tscope.manager.itemError( url );\n\n\t\t}\n\n\t}\n\n}\n\nconst _eyeRight = /*@__PURE__*/ new Matrix4();\nconst _eyeLeft = /*@__PURE__*/ new Matrix4();\nconst _projectionMatrix = /*@__PURE__*/ new Matrix4();\n\nclass StereoCamera {\n\n\tconstructor() {\n\n\t\tthis.type = 'StereoCamera';\n\n\t\tthis.aspect = 1;\n\n\t\tthis.eyeSep = 0.064;\n\n\t\tthis.cameraL = new PerspectiveCamera();\n\t\tthis.cameraL.layers.enable( 1 );\n\t\tthis.cameraL.matrixAutoUpdate = false;\n\n\t\tthis.cameraR = new PerspectiveCamera();\n\t\tthis.cameraR.layers.enable( 2 );\n\t\tthis.cameraR.matrixAutoUpdate = false;\n\n\t\tthis._cache = {\n\t\t\tfocus: null,\n\t\t\tfov: null,\n\t\t\taspect: null,\n\t\t\tnear: null,\n\t\t\tfar: null,\n\t\t\tzoom: null,\n\t\t\teyeSep: null\n\t\t};\n\n\t}\n\n\tupdate( camera ) {\n\n\t\tconst cache = this._cache;\n\n\t\tconst needsUpdate = cache.focus !== camera.focus || cache.fov !== camera.fov ||\n\t\t\tcache.aspect !== camera.aspect * this.aspect || cache.near !== camera.near ||\n\t\t\tcache.far !== camera.far || cache.zoom !== camera.zoom || cache.eyeSep !== this.eyeSep;\n\n\t\tif ( needsUpdate ) {\n\n\t\t\tcache.focus = camera.focus;\n\t\t\tcache.fov = camera.fov;\n\t\t\tcache.aspect = camera.aspect * this.aspect;\n\t\t\tcache.near = camera.near;\n\t\t\tcache.far = camera.far;\n\t\t\tcache.zoom = camera.zoom;\n\t\t\tcache.eyeSep = this.eyeSep;\n\n\t\t\t// Off-axis stereoscopic effect based on\n\t\t\t// http://paulbourke.net/stereographics/stereorender/\n\n\t\t\t_projectionMatrix.copy( camera.projectionMatrix );\n\t\t\tconst eyeSepHalf = cache.eyeSep / 2;\n\t\t\tconst eyeSepOnProjection = eyeSepHalf * cache.near / cache.focus;\n\t\t\tconst ymax = ( cache.near * Math.tan( DEG2RAD * cache.fov * 0.5 ) ) / cache.zoom;\n\t\t\tlet xmin, xmax;\n\n\t\t\t// translate xOffset\n\n\t\t\t_eyeLeft.elements[ 12 ] = - eyeSepHalf;\n\t\t\t_eyeRight.elements[ 12 ] = eyeSepHalf;\n\n\t\t\t// for left eye\n\n\t\t\txmin = - ymax * cache.aspect + eyeSepOnProjection;\n\t\t\txmax = ymax * cache.aspect + eyeSepOnProjection;\n\n\t\t\t_projectionMatrix.elements[ 0 ] = 2 * cache.near / ( xmax - xmin );\n\t\t\t_projectionMatrix.elements[ 8 ] = ( xmax + xmin ) / ( xmax - xmin );\n\n\t\t\tthis.cameraL.projectionMatrix.copy( _projectionMatrix );\n\n\t\t\t// for right eye\n\n\t\t\txmin = - ymax * cache.aspect - eyeSepOnProjection;\n\t\t\txmax = ymax * cache.aspect - eyeSepOnProjection;\n\n\t\t\t_projectionMatrix.elements[ 0 ] = 2 * cache.near / ( xmax - xmin );\n\t\t\t_projectionMatrix.elements[ 8 ] = ( xmax + xmin ) / ( xmax - xmin );\n\n\t\t\tthis.cameraR.projectionMatrix.copy( _projectionMatrix );\n\n\t\t}\n\n\t\tthis.cameraL.matrixWorld.copy( camera.matrixWorld ).multiply( _eyeLeft );\n\t\tthis.cameraR.matrixWorld.copy( camera.matrixWorld ).multiply( _eyeRight );\n\n\t}\n\n}\n\nclass Clock {\n\n\tconstructor( autoStart = true ) {\n\n\t\tthis.autoStart = autoStart;\n\n\t\tthis.startTime = 0;\n\t\tthis.oldTime = 0;\n\t\tthis.elapsedTime = 0;\n\n\t\tthis.running = false;\n\n\t}\n\n\tstart() {\n\n\t\tthis.startTime = now();\n\n\t\tthis.oldTime = this.startTime;\n\t\tthis.elapsedTime = 0;\n\t\tthis.running = true;\n\n\t}\n\n\tstop() {\n\n\t\tthis.getElapsedTime();\n\t\tthis.running = false;\n\t\tthis.autoStart = false;\n\n\t}\n\n\tgetElapsedTime() {\n\n\t\tthis.getDelta();\n\t\treturn this.elapsedTime;\n\n\t}\n\n\tgetDelta() {\n\n\t\tlet diff = 0;\n\n\t\tif ( this.autoStart && ! this.running ) {\n\n\t\t\tthis.start();\n\t\t\treturn 0;\n\n\t\t}\n\n\t\tif ( this.running ) {\n\n\t\t\tconst newTime = now();\n\n\t\t\tdiff = ( newTime - this.oldTime ) / 1000;\n\t\t\tthis.oldTime = newTime;\n\n\t\t\tthis.elapsedTime += diff;\n\n\t\t}\n\n\t\treturn diff;\n\n\t}\n\n}\n\nfunction now() {\n\n\treturn ( typeof performance === 'undefined' ? Date : performance ).now(); // see #10732\n\n}\n\nconst _position$1 = /*@__PURE__*/ new Vector3();\nconst _quaternion$1 = /*@__PURE__*/ new Quaternion();\nconst _scale$1 = /*@__PURE__*/ new Vector3();\nconst _orientation$1 = /*@__PURE__*/ new Vector3();\n\nclass AudioListener extends Object3D {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.type = 'AudioListener';\n\n\t\tthis.context = AudioContext.getContext();\n\n\t\tthis.gain = this.context.createGain();\n\t\tthis.gain.connect( this.context.destination );\n\n\t\tthis.filter = null;\n\n\t\tthis.timeDelta = 0;\n\n\t\t// private\n\n\t\tthis._clock = new Clock();\n\n\t}\n\n\tgetInput() {\n\n\t\treturn this.gain;\n\n\t}\n\n\tremoveFilter() {\n\n\t\tif ( this.filter !== null ) {\n\n\t\t\tthis.gain.disconnect( this.filter );\n\t\t\tthis.filter.disconnect( this.context.destination );\n\t\t\tthis.gain.connect( this.context.destination );\n\t\t\tthis.filter = null;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetFilter() {\n\n\t\treturn this.filter;\n\n\t}\n\n\tsetFilter( value ) {\n\n\t\tif ( this.filter !== null ) {\n\n\t\t\tthis.gain.disconnect( this.filter );\n\t\t\tthis.filter.disconnect( this.context.destination );\n\n\t\t} else {\n\n\t\t\tthis.gain.disconnect( this.context.destination );\n\n\t\t}\n\n\t\tthis.filter = value;\n\t\tthis.gain.connect( this.filter );\n\t\tthis.filter.connect( this.context.destination );\n\n\t\treturn this;\n\n\t}\n\n\tgetMasterVolume() {\n\n\t\treturn this.gain.gain.value;\n\n\t}\n\n\tsetMasterVolume( value ) {\n\n\t\tthis.gain.gain.setTargetAtTime( value, this.context.currentTime, 0.01 );\n\n\t\treturn this;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tconst listener = this.context.listener;\n\t\tconst up = this.up;\n\n\t\tthis.timeDelta = this._clock.getDelta();\n\n\t\tthis.matrixWorld.decompose( _position$1, _quaternion$1, _scale$1 );\n\n\t\t_orientation$1.set( 0, 0, - 1 ).applyQuaternion( _quaternion$1 );\n\n\t\tif ( listener.positionX ) {\n\n\t\t\t// code path for Chrome (see #14393)\n\n\t\t\tconst endTime = this.context.currentTime + this.timeDelta;\n\n\t\t\tlistener.positionX.linearRampToValueAtTime( _position$1.x, endTime );\n\t\t\tlistener.positionY.linearRampToValueAtTime( _position$1.y, endTime );\n\t\t\tlistener.positionZ.linearRampToValueAtTime( _position$1.z, endTime );\n\t\t\tlistener.forwardX.linearRampToValueAtTime( _orientation$1.x, endTime );\n\t\t\tlistener.forwardY.linearRampToValueAtTime( _orientation$1.y, endTime );\n\t\t\tlistener.forwardZ.linearRampToValueAtTime( _orientation$1.z, endTime );\n\t\t\tlistener.upX.linearRampToValueAtTime( up.x, endTime );\n\t\t\tlistener.upY.linearRampToValueAtTime( up.y, endTime );\n\t\t\tlistener.upZ.linearRampToValueAtTime( up.z, endTime );\n\n\t\t} else {\n\n\t\t\tlistener.setPosition( _position$1.x, _position$1.y, _position$1.z );\n\t\t\tlistener.setOrientation( _orientation$1.x, _orientation$1.y, _orientation$1.z, up.x, up.y, up.z );\n\n\t\t}\n\n\t}\n\n}\n\nclass Audio extends Object3D {\n\n\tconstructor( listener ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'Audio';\n\n\t\tthis.listener = listener;\n\t\tthis.context = listener.context;\n\n\t\tthis.gain = this.context.createGain();\n\t\tthis.gain.connect( listener.getInput() );\n\n\t\tthis.autoplay = false;\n\n\t\tthis.buffer = null;\n\t\tthis.detune = 0;\n\t\tthis.loop = false;\n\t\tthis.loopStart = 0;\n\t\tthis.loopEnd = 0;\n\t\tthis.offset = 0;\n\t\tthis.duration = undefined;\n\t\tthis.playbackRate = 1;\n\t\tthis.isPlaying = false;\n\t\tthis.hasPlaybackControl = true;\n\t\tthis.source = null;\n\t\tthis.sourceType = 'empty';\n\n\t\tthis._startedAt = 0;\n\t\tthis._progress = 0;\n\t\tthis._connected = false;\n\n\t\tthis.filters = [];\n\n\t}\n\n\tgetOutput() {\n\n\t\treturn this.gain;\n\n\t}\n\n\tsetNodeSource( audioNode ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'audioNode';\n\t\tthis.source = audioNode;\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetMediaElementSource( mediaElement ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'mediaNode';\n\t\tthis.source = this.context.createMediaElementSource( mediaElement );\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetMediaStreamSource( mediaStream ) {\n\n\t\tthis.hasPlaybackControl = false;\n\t\tthis.sourceType = 'mediaStreamNode';\n\t\tthis.source = this.context.createMediaStreamSource( mediaStream );\n\t\tthis.connect();\n\n\t\treturn this;\n\n\t}\n\n\tsetBuffer( audioBuffer ) {\n\n\t\tthis.buffer = audioBuffer;\n\t\tthis.sourceType = 'buffer';\n\n\t\tif ( this.autoplay ) this.play();\n\n\t\treturn this;\n\n\t}\n\n\tplay( delay = 0 ) {\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: Audio is already playing.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis._startedAt = this.context.currentTime + delay;\n\n\t\tconst source = this.context.createBufferSource();\n\t\tsource.buffer = this.buffer;\n\t\tsource.loop = this.loop;\n\t\tsource.loopStart = this.loopStart;\n\t\tsource.loopEnd = this.loopEnd;\n\t\tsource.onended = this.onEnded.bind( this );\n\t\tsource.start( this._startedAt, this._progress + this.offset, this.duration );\n\n\t\tthis.isPlaying = true;\n\n\t\tthis.source = source;\n\n\t\tthis.setDetune( this.detune );\n\t\tthis.setPlaybackRate( this.playbackRate );\n\n\t\treturn this.connect();\n\n\t}\n\n\tpause() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\t// update current progress\n\n\t\t\tthis._progress += Math.max( this.context.currentTime - this._startedAt, 0 ) * this.playbackRate;\n\n\t\t\tif ( this.loop === true ) {\n\n\t\t\t\t// ensure _progress does not exceed duration with looped audios\n\n\t\t\t\tthis._progress = this._progress % ( this.duration || this.buffer.duration );\n\n\t\t\t}\n\n\t\t\tthis.source.stop();\n\t\t\tthis.source.onended = null;\n\n\t\t\tthis.isPlaying = false;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tstop() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis._progress = 0;\n\n\t\tif ( this.source !== null ) {\n\n\t\t\tthis.source.stop();\n\t\t\tthis.source.onended = null;\n\n\t\t}\n\n\t\tthis.isPlaying = false;\n\n\t\treturn this;\n\n\t}\n\n\tconnect() {\n\n\t\tif ( this.filters.length > 0 ) {\n\n\t\t\tthis.source.connect( this.filters[ 0 ] );\n\n\t\t\tfor ( let i = 1, l = this.filters.length; i < l; i ++ ) {\n\n\t\t\t\tthis.filters[ i - 1 ].connect( this.filters[ i ] );\n\n\t\t\t}\n\n\t\t\tthis.filters[ this.filters.length - 1 ].connect( this.getOutput() );\n\n\t\t} else {\n\n\t\t\tthis.source.connect( this.getOutput() );\n\n\t\t}\n\n\t\tthis._connected = true;\n\n\t\treturn this;\n\n\t}\n\n\tdisconnect() {\n\n\t\tif ( this._connected === false ) {\n\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( this.filters.length > 0 ) {\n\n\t\t\tthis.source.disconnect( this.filters[ 0 ] );\n\n\t\t\tfor ( let i = 1, l = this.filters.length; i < l; i ++ ) {\n\n\t\t\t\tthis.filters[ i - 1 ].disconnect( this.filters[ i ] );\n\n\t\t\t}\n\n\t\t\tthis.filters[ this.filters.length - 1 ].disconnect( this.getOutput() );\n\n\t\t} else {\n\n\t\t\tthis.source.disconnect( this.getOutput() );\n\n\t\t}\n\n\t\tthis._connected = false;\n\n\t\treturn this;\n\n\t}\n\n\tgetFilters() {\n\n\t\treturn this.filters;\n\n\t}\n\n\tsetFilters( value ) {\n\n\t\tif ( ! value ) value = [];\n\n\t\tif ( this._connected === true ) {\n\n\t\t\tthis.disconnect();\n\t\t\tthis.filters = value.slice();\n\t\t\tthis.connect();\n\n\t\t} else {\n\n\t\t\tthis.filters = value.slice();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetDetune( value ) {\n\n\t\tthis.detune = value;\n\n\t\tif ( this.source.detune === undefined ) return; // only set detune when available\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.detune.setTargetAtTime( this.detune, this.context.currentTime, 0.01 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetDetune() {\n\n\t\treturn this.detune;\n\n\t}\n\n\tgetFilter() {\n\n\t\treturn this.getFilters()[ 0 ];\n\n\t}\n\n\tsetFilter( filter ) {\n\n\t\treturn this.setFilters( filter ? [ filter ] : [] );\n\n\t}\n\n\tsetPlaybackRate( value ) {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis.playbackRate = value;\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.playbackRate.setTargetAtTime( this.playbackRate, this.context.currentTime, 0.01 );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tgetPlaybackRate() {\n\n\t\treturn this.playbackRate;\n\n\t}\n\n\tonEnded() {\n\n\t\tthis.isPlaying = false;\n\n\t}\n\n\tgetLoop() {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn false;\n\n\t\t}\n\n\t\treturn this.loop;\n\n\t}\n\n\tsetLoop( value ) {\n\n\t\tif ( this.hasPlaybackControl === false ) {\n\n\t\t\tconsole.warn( 'THREE.Audio: this Audio has no playback control.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tthis.loop = value;\n\n\t\tif ( this.isPlaying === true ) {\n\n\t\t\tthis.source.loop = this.loop;\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetLoopStart( value ) {\n\n\t\tthis.loopStart = value;\n\n\t\treturn this;\n\n\t}\n\n\tsetLoopEnd( value ) {\n\n\t\tthis.loopEnd = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetVolume() {\n\n\t\treturn this.gain.gain.value;\n\n\t}\n\n\tsetVolume( value ) {\n\n\t\tthis.gain.gain.setTargetAtTime( value, this.context.currentTime, 0.01 );\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _position = /*@__PURE__*/ new Vector3();\nconst _quaternion = /*@__PURE__*/ new Quaternion();\nconst _scale = /*@__PURE__*/ new Vector3();\nconst _orientation = /*@__PURE__*/ new Vector3();\n\nclass PositionalAudio extends Audio {\n\n\tconstructor( listener ) {\n\n\t\tsuper( listener );\n\n\t\tthis.panner = this.context.createPanner();\n\t\tthis.panner.panningModel = 'HRTF';\n\t\tthis.panner.connect( this.gain );\n\n\t}\n\n\tconnect() {\n\n\t\tsuper.connect();\n\n\t\tthis.panner.connect( this.gain );\n\n\t}\n\n\tdisconnect() {\n\n\t\tsuper.disconnect();\n\n\t\tthis.panner.disconnect( this.gain );\n\n\t}\n\n\tgetOutput() {\n\n\t\treturn this.panner;\n\n\t}\n\n\tgetRefDistance() {\n\n\t\treturn this.panner.refDistance;\n\n\t}\n\n\tsetRefDistance( value ) {\n\n\t\tthis.panner.refDistance = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetRolloffFactor() {\n\n\t\treturn this.panner.rolloffFactor;\n\n\t}\n\n\tsetRolloffFactor( value ) {\n\n\t\tthis.panner.rolloffFactor = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetDistanceModel() {\n\n\t\treturn this.panner.distanceModel;\n\n\t}\n\n\tsetDistanceModel( value ) {\n\n\t\tthis.panner.distanceModel = value;\n\n\t\treturn this;\n\n\t}\n\n\tgetMaxDistance() {\n\n\t\treturn this.panner.maxDistance;\n\n\t}\n\n\tsetMaxDistance( value ) {\n\n\t\tthis.panner.maxDistance = value;\n\n\t\treturn this;\n\n\t}\n\n\tsetDirectionalCone( coneInnerAngle, coneOuterAngle, coneOuterGain ) {\n\n\t\tthis.panner.coneInnerAngle = coneInnerAngle;\n\t\tthis.panner.coneOuterAngle = coneOuterAngle;\n\t\tthis.panner.coneOuterGain = coneOuterGain;\n\n\t\treturn this;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t\tif ( this.hasPlaybackControl === true && this.isPlaying === false ) return;\n\n\t\tthis.matrixWorld.decompose( _position, _quaternion, _scale );\n\n\t\t_orientation.set( 0, 0, 1 ).applyQuaternion( _quaternion );\n\n\t\tconst panner = this.panner;\n\n\t\tif ( panner.positionX ) {\n\n\t\t\t// code path for Chrome and Firefox (see #14393)\n\n\t\t\tconst endTime = this.context.currentTime + this.listener.timeDelta;\n\n\t\t\tpanner.positionX.linearRampToValueAtTime( _position.x, endTime );\n\t\t\tpanner.positionY.linearRampToValueAtTime( _position.y, endTime );\n\t\t\tpanner.positionZ.linearRampToValueAtTime( _position.z, endTime );\n\t\t\tpanner.orientationX.linearRampToValueAtTime( _orientation.x, endTime );\n\t\t\tpanner.orientationY.linearRampToValueAtTime( _orientation.y, endTime );\n\t\t\tpanner.orientationZ.linearRampToValueAtTime( _orientation.z, endTime );\n\n\t\t} else {\n\n\t\t\tpanner.setPosition( _position.x, _position.y, _position.z );\n\t\t\tpanner.setOrientation( _orientation.x, _orientation.y, _orientation.z );\n\n\t\t}\n\n\t}\n\n}\n\nclass AudioAnalyser {\n\n\tconstructor( audio, fftSize = 2048 ) {\n\n\t\tthis.analyser = audio.context.createAnalyser();\n\t\tthis.analyser.fftSize = fftSize;\n\n\t\tthis.data = new Uint8Array( this.analyser.frequencyBinCount );\n\n\t\taudio.getOutput().connect( this.analyser );\n\n\t}\n\n\n\tgetFrequencyData() {\n\n\t\tthis.analyser.getByteFrequencyData( this.data );\n\n\t\treturn this.data;\n\n\t}\n\n\tgetAverageFrequency() {\n\n\t\tlet value = 0;\n\t\tconst data = this.getFrequencyData();\n\n\t\tfor ( let i = 0; i < data.length; i ++ ) {\n\n\t\t\tvalue += data[ i ];\n\n\t\t}\n\n\t\treturn value / data.length;\n\n\t}\n\n}\n\nclass PropertyMixer {\n\n\tconstructor( binding, typeName, valueSize ) {\n\n\t\tthis.binding = binding;\n\t\tthis.valueSize = valueSize;\n\n\t\tlet mixFunction,\n\t\t\tmixFunctionAdditive,\n\t\t\tsetIdentity;\n\n\t\t// buffer layout: [ incoming | accu0 | accu1 | orig | addAccu | (optional work) ]\n\t\t//\n\t\t// interpolators can use .buffer as their .result\n\t\t// the data then goes to 'incoming'\n\t\t//\n\t\t// 'accu0' and 'accu1' are used frame-interleaved for\n\t\t// the cumulative result and are compared to detect\n\t\t// changes\n\t\t//\n\t\t// 'orig' stores the original state of the property\n\t\t//\n\t\t// 'add' is used for additive cumulative results\n\t\t//\n\t\t// 'work' is optional and is only present for quaternion types. It is used\n\t\t// to store intermediate quaternion multiplication results\n\n\t\tswitch ( typeName ) {\n\n\t\t\tcase 'quaternion':\n\t\t\t\tmixFunction = this._slerp;\n\t\t\t\tmixFunctionAdditive = this._slerpAdditive;\n\t\t\t\tsetIdentity = this._setAdditiveIdentityQuaternion;\n\n\t\t\t\tthis.buffer = new Float64Array( valueSize * 6 );\n\t\t\t\tthis._workIndex = 5;\n\t\t\t\tbreak;\n\n\t\t\tcase 'string':\n\t\t\tcase 'bool':\n\t\t\t\tmixFunction = this._select;\n\n\t\t\t\t// Use the regular mix function and for additive on these types,\n\t\t\t\t// additive is not relevant for non-numeric types\n\t\t\t\tmixFunctionAdditive = this._select;\n\n\t\t\t\tsetIdentity = this._setAdditiveIdentityOther;\n\n\t\t\t\tthis.buffer = new Array( valueSize * 5 );\n\t\t\t\tbreak;\n\n\t\t\tdefault:\n\t\t\t\tmixFunction = this._lerp;\n\t\t\t\tmixFunctionAdditive = this._lerpAdditive;\n\t\t\t\tsetIdentity = this._setAdditiveIdentityNumeric;\n\n\t\t\t\tthis.buffer = new Float64Array( valueSize * 5 );\n\n\t\t}\n\n\t\tthis._mixBufferRegion = mixFunction;\n\t\tthis._mixBufferRegionAdditive = mixFunctionAdditive;\n\t\tthis._setIdentity = setIdentity;\n\t\tthis._origIndex = 3;\n\t\tthis._addIndex = 4;\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t\tthis.useCount = 0;\n\t\tthis.referenceCount = 0;\n\n\t}\n\n\t// accumulate data in the 'incoming' region into 'accu'\n\taccumulate( accuIndex, weight ) {\n\n\t\t// note: happily accumulating nothing when weight = 0, the caller knows\n\t\t// the weight and shouldn't have made the call in the first place\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = accuIndex * stride + stride;\n\n\t\tlet currentWeight = this.cumulativeWeight;\n\n\t\tif ( currentWeight === 0 ) {\n\n\t\t\t// accuN := incoming * weight\n\n\t\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\t\tbuffer[ offset + i ] = buffer[ i ];\n\n\t\t\t}\n\n\t\t\tcurrentWeight = weight;\n\n\t\t} else {\n\n\t\t\t// accuN := accuN + incoming * weight\n\n\t\t\tcurrentWeight += weight;\n\t\t\tconst mix = weight / currentWeight;\n\t\t\tthis._mixBufferRegion( buffer, offset, 0, mix, stride );\n\n\t\t}\n\n\t\tthis.cumulativeWeight = currentWeight;\n\n\t}\n\n\t// accumulate data in the 'incoming' region into 'add'\n\taccumulateAdditive( weight ) {\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\t\t\toffset = stride * this._addIndex;\n\n\t\tif ( this.cumulativeWeightAdditive === 0 ) {\n\n\t\t\t// add = identity\n\n\t\t\tthis._setIdentity();\n\n\t\t}\n\n\t\t// add := add + incoming * weight\n\n\t\tthis._mixBufferRegionAdditive( buffer, offset, 0, weight, stride );\n\t\tthis.cumulativeWeightAdditive += weight;\n\n\t}\n\n\t// apply the state of 'accu' to the binding when accus differ\n\tapply( accuIndex ) {\n\n\t\tconst stride = this.valueSize,\n\t\t\tbuffer = this.buffer,\n\t\t\toffset = accuIndex * stride + stride,\n\n\t\t\tweight = this.cumulativeWeight,\n\t\t\tweightAdditive = this.cumulativeWeightAdditive,\n\n\t\t\tbinding = this.binding;\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t\tif ( weight < 1 ) {\n\n\t\t\t// accuN := accuN + original * ( 1 - cumulativeWeight )\n\n\t\t\tconst originalValueOffset = stride * this._origIndex;\n\n\t\t\tthis._mixBufferRegion(\n\t\t\t\tbuffer, offset, originalValueOffset, 1 - weight, stride );\n\n\t\t}\n\n\t\tif ( weightAdditive > 0 ) {\n\n\t\t\t// accuN := accuN + additive accuN\n\n\t\t\tthis._mixBufferRegionAdditive( buffer, offset, this._addIndex * stride, 1, stride );\n\n\t\t}\n\n\t\tfor ( let i = stride, e = stride + stride; i !== e; ++ i ) {\n\n\t\t\tif ( buffer[ i ] !== buffer[ i + stride ] ) {\n\n\t\t\t\t// value has changed -> update scene graph\n\n\t\t\t\tbinding.setValue( buffer, offset );\n\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t// remember the state of the bound property and copy it to both accus\n\tsaveOriginalState() {\n\n\t\tconst binding = this.binding;\n\n\t\tconst buffer = this.buffer,\n\t\t\tstride = this.valueSize,\n\n\t\t\toriginalValueOffset = stride * this._origIndex;\n\n\t\tbinding.getValue( buffer, originalValueOffset );\n\n\t\t// accu[0..1] := orig -- initially detect changes against the original\n\t\tfor ( let i = stride, e = originalValueOffset; i !== e; ++ i ) {\n\n\t\t\tbuffer[ i ] = buffer[ originalValueOffset + ( i % stride ) ];\n\n\t\t}\n\n\t\t// Add to identity for additive\n\t\tthis._setIdentity();\n\n\t\tthis.cumulativeWeight = 0;\n\t\tthis.cumulativeWeightAdditive = 0;\n\n\t}\n\n\t// apply the state previously taken via 'saveOriginalState' to the binding\n\trestoreOriginalState() {\n\n\t\tconst originalValueOffset = this.valueSize * 3;\n\t\tthis.binding.setValue( this.buffer, originalValueOffset );\n\n\t}\n\n\t_setAdditiveIdentityNumeric() {\n\n\t\tconst startIndex = this._addIndex * this.valueSize;\n\t\tconst endIndex = startIndex + this.valueSize;\n\n\t\tfor ( let i = startIndex; i < endIndex; i ++ ) {\n\n\t\t\tthis.buffer[ i ] = 0;\n\n\t\t}\n\n\t}\n\n\t_setAdditiveIdentityQuaternion() {\n\n\t\tthis._setAdditiveIdentityNumeric();\n\t\tthis.buffer[ this._addIndex * this.valueSize + 3 ] = 1;\n\n\t}\n\n\t_setAdditiveIdentityOther() {\n\n\t\tconst startIndex = this._origIndex * this.valueSize;\n\t\tconst targetIndex = this._addIndex * this.valueSize;\n\n\t\tfor ( let i = 0; i < this.valueSize; i ++ ) {\n\n\t\t\tthis.buffer[ targetIndex + i ] = this.buffer[ startIndex + i ];\n\n\t\t}\n\n\t}\n\n\n\t// mix functions\n\n\t_select( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tif ( t >= 0.5 ) {\n\n\t\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\t\tbuffer[ dstOffset + i ] = buffer[ srcOffset + i ];\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_slerp( buffer, dstOffset, srcOffset, t ) {\n\n\t\tQuaternion.slerpFlat( buffer, dstOffset, buffer, dstOffset, buffer, srcOffset, t );\n\n\t}\n\n\t_slerpAdditive( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tconst workOffset = this._workIndex * stride;\n\n\t\t// Store result in intermediate buffer offset\n\t\tQuaternion.multiplyQuaternionsFlat( buffer, workOffset, buffer, dstOffset, buffer, srcOffset );\n\n\t\t// Slerp to the intermediate result\n\t\tQuaternion.slerpFlat( buffer, dstOffset, buffer, dstOffset, buffer, workOffset, t );\n\n\t}\n\n\t_lerp( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tconst s = 1 - t;\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tconst j = dstOffset + i;\n\n\t\t\tbuffer[ j ] = buffer[ j ] * s + buffer[ srcOffset + i ] * t;\n\n\t\t}\n\n\t}\n\n\t_lerpAdditive( buffer, dstOffset, srcOffset, t, stride ) {\n\n\t\tfor ( let i = 0; i !== stride; ++ i ) {\n\n\t\t\tconst j = dstOffset + i;\n\n\t\t\tbuffer[ j ] = buffer[ j ] + buffer[ srcOffset + i ] * t;\n\n\t\t}\n\n\t}\n\n}\n\n// Characters [].:/ are reserved for track binding syntax.\nconst _RESERVED_CHARS_RE = '\\\\[\\\\]\\\\.:\\\\/';\nconst _reservedRe = new RegExp( '[' + _RESERVED_CHARS_RE + ']', 'g' );\n\n// Attempts to allow node names from any language. ES5's `\\w` regexp matches\n// only latin characters, and the unicode \\p{L} is not yet supported. So\n// instead, we exclude reserved characters and match everything else.\nconst _wordChar = '[^' + _RESERVED_CHARS_RE + ']';\nconst _wordCharOrDot = '[^' + _RESERVED_CHARS_RE.replace( '\\\\.', '' ) + ']';\n\n// Parent directories, delimited by '/' or ':'. Currently unused, but must\n// be matched to parse the rest of the track name.\nconst _directoryRe = /*@__PURE__*/ /((?:WC+[\\/:])*)/.source.replace( 'WC', _wordChar );\n\n// Target node. May contain word characters (a-zA-Z0-9_) and '.' or '-'.\nconst _nodeRe = /*@__PURE__*/ /(WCOD+)?/.source.replace( 'WCOD', _wordCharOrDot );\n\n// Object on target node, and accessor. May not contain reserved\n// characters. Accessor may contain any character except closing bracket.\nconst _objectRe = /*@__PURE__*/ /(?:\\.(WC+)(?:\\[(.+)\\])?)?/.source.replace( 'WC', _wordChar );\n\n// Property and accessor. May not contain reserved characters. Accessor may\n// contain any non-bracket characters.\nconst _propertyRe = /*@__PURE__*/ /\\.(WC+)(?:\\[(.+)\\])?/.source.replace( 'WC', _wordChar );\n\nconst _trackRe = new RegExp( ''\n\t+ '^'\n\t+ _directoryRe\n\t+ _nodeRe\n\t+ _objectRe\n\t+ _propertyRe\n\t+ '$'\n);\n\nconst _supportedObjectNames = [ 'material', 'materials', 'bones', 'map' ];\n\nclass Composite {\n\n\tconstructor( targetGroup, path, optionalParsedPath ) {\n\n\t\tconst parsedPath = optionalParsedPath || PropertyBinding.parseTrackName( path );\n\n\t\tthis._targetGroup = targetGroup;\n\t\tthis._bindings = targetGroup.subscribe_( path, parsedPath );\n\n\t}\n\n\tgetValue( array, offset ) {\n\n\t\tthis.bind(); // bind all binding\n\n\t\tconst firstValidIndex = this._targetGroup.nCachedObjects_,\n\t\t\tbinding = this._bindings[ firstValidIndex ];\n\n\t\t// and only call .getValue on the first\n\t\tif ( binding !== undefined ) binding.getValue( array, offset );\n\n\t}\n\n\tsetValue( array, offset ) {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].setValue( array, offset );\n\n\t\t}\n\n\t}\n\n\tbind() {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].bind();\n\n\t\t}\n\n\t}\n\n\tunbind() {\n\n\t\tconst bindings = this._bindings;\n\n\t\tfor ( let i = this._targetGroup.nCachedObjects_, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tbindings[ i ].unbind();\n\n\t\t}\n\n\t}\n\n}\n\n// Note: This class uses a State pattern on a per-method basis:\n// 'bind' sets 'this.getValue' / 'setValue' and shadows the\n// prototype version of these methods with one that represents\n// the bound state. When the property is not found, the methods\n// become no-ops.\nclass PropertyBinding {\n\n\tconstructor( rootNode, path, parsedPath ) {\n\n\t\tthis.path = path;\n\t\tthis.parsedPath = parsedPath || PropertyBinding.parseTrackName( path );\n\n\t\tthis.node = PropertyBinding.findNode( rootNode, this.parsedPath.nodeName );\n\n\t\tthis.rootNode = rootNode;\n\n\t\t// initial state of these methods that calls 'bind'\n\t\tthis.getValue = this._getValue_unbound;\n\t\tthis.setValue = this._setValue_unbound;\n\n\t}\n\n\n\tstatic create( root, path, parsedPath ) {\n\n\t\tif ( ! ( root && root.isAnimationObjectGroup ) ) {\n\n\t\t\treturn new PropertyBinding( root, path, parsedPath );\n\n\t\t} else {\n\n\t\t\treturn new PropertyBinding.Composite( root, path, parsedPath );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Replaces spaces with underscores and removes unsupported characters from\n\t * node names, to ensure compatibility with parseTrackName().\n\t *\n\t * @param {string} name Node name to be sanitized.\n\t * @return {string}\n\t */\n\tstatic sanitizeNodeName( name ) {\n\n\t\treturn name.replace( /\\s/g, '_' ).replace( _reservedRe, '' );\n\n\t}\n\n\tstatic parseTrackName( trackName ) {\n\n\t\tconst matches = _trackRe.exec( trackName );\n\n\t\tif ( matches === null ) {\n\n\t\t\tthrow new Error( 'PropertyBinding: Cannot parse trackName: ' + trackName );\n\n\t\t}\n\n\t\tconst results = {\n\t\t\t// directoryName: matches[ 1 ], // (tschw) currently unused\n\t\t\tnodeName: matches[ 2 ],\n\t\t\tobjectName: matches[ 3 ],\n\t\t\tobjectIndex: matches[ 4 ],\n\t\t\tpropertyName: matches[ 5 ], // required\n\t\t\tpropertyIndex: matches[ 6 ]\n\t\t};\n\n\t\tconst lastDot = results.nodeName && results.nodeName.lastIndexOf( '.' );\n\n\t\tif ( lastDot !== undefined && lastDot !== - 1 ) {\n\n\t\t\tconst objectName = results.nodeName.substring( lastDot + 1 );\n\n\t\t\t// Object names must be checked against an allowlist. Otherwise, there\n\t\t\t// is no way to parse 'foo.bar.baz': 'baz' must be a property, but\n\t\t\t// 'bar' could be the objectName, or part of a nodeName (which can\n\t\t\t// include '.' characters).\n\t\t\tif ( _supportedObjectNames.indexOf( objectName ) !== - 1 ) {\n\n\t\t\t\tresults.nodeName = results.nodeName.substring( 0, lastDot );\n\t\t\t\tresults.objectName = objectName;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( results.propertyName === null || results.propertyName.length === 0 ) {\n\n\t\t\tthrow new Error( 'PropertyBinding: can not parse propertyName from trackName: ' + trackName );\n\n\t\t}\n\n\t\treturn results;\n\n\t}\n\n\tstatic findNode( root, nodeName ) {\n\n\t\tif ( nodeName === undefined || nodeName === '' || nodeName === '.' || nodeName === - 1 || nodeName === root.name || nodeName === root.uuid ) {\n\n\t\t\treturn root;\n\n\t\t}\n\n\t\t// search into skeleton bones.\n\t\tif ( root.skeleton ) {\n\n\t\t\tconst bone = root.skeleton.getBoneByName( nodeName );\n\n\t\t\tif ( bone !== undefined ) {\n\n\t\t\t\treturn bone;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// search into node subtree.\n\t\tif ( root.children ) {\n\n\t\t\tconst searchNodeSubtree = function ( children ) {\n\n\t\t\t\tfor ( let i = 0; i < children.length; i ++ ) {\n\n\t\t\t\t\tconst childNode = children[ i ];\n\n\t\t\t\t\tif ( childNode.name === nodeName || childNode.uuid === nodeName ) {\n\n\t\t\t\t\t\treturn childNode;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tconst result = searchNodeSubtree( childNode.children );\n\n\t\t\t\t\tif ( result ) return result;\n\n\t\t\t\t}\n\n\t\t\t\treturn null;\n\n\t\t\t};\n\n\t\t\tconst subTreeNode = searchNodeSubtree( root.children );\n\n\t\t\tif ( subTreeNode ) {\n\n\t\t\t\treturn subTreeNode;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\t// these are used to \"bind\" a nonexistent property\n\t_getValue_unavailable() {}\n\t_setValue_unavailable() {}\n\n\t// Getters\n\n\t_getValue_direct( buffer, offset ) {\n\n\t\tbuffer[ offset ] = this.targetObject[ this.propertyName ];\n\n\t}\n\n\t_getValue_array( buffer, offset ) {\n\n\t\tconst source = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = source.length; i !== n; ++ i ) {\n\n\t\t\tbuffer[ offset ++ ] = source[ i ];\n\n\t\t}\n\n\t}\n\n\t_getValue_arrayElement( buffer, offset ) {\n\n\t\tbuffer[ offset ] = this.resolvedProperty[ this.propertyIndex ];\n\n\t}\n\n\t_getValue_toArray( buffer, offset ) {\n\n\t\tthis.resolvedProperty.toArray( buffer, offset );\n\n\t}\n\n\t// Direct\n\n\t_setValue_direct( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\n\t}\n\n\t_setValue_direct_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_direct_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.targetObject[ this.propertyName ] = buffer[ offset ];\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// EntireArray\n\n\t_setValue_array( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t}\n\n\t_setValue_array_setNeedsUpdate( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_array_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tconst dest = this.resolvedProperty;\n\n\t\tfor ( let i = 0, n = dest.length; i !== n; ++ i ) {\n\n\t\t\tdest[ i ] = buffer[ offset ++ ];\n\n\t\t}\n\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// ArrayElement\n\n\t_setValue_arrayElement( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\n\t}\n\n\t_setValue_arrayElement_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_arrayElement_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty[ this.propertyIndex ] = buffer[ offset ];\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t// HasToFromArray\n\n\t_setValue_fromArray( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\n\t}\n\n\t_setValue_fromArray_setNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\t\tthis.targetObject.needsUpdate = true;\n\n\t}\n\n\t_setValue_fromArray_setMatrixWorldNeedsUpdate( buffer, offset ) {\n\n\t\tthis.resolvedProperty.fromArray( buffer, offset );\n\t\tthis.targetObject.matrixWorldNeedsUpdate = true;\n\n\t}\n\n\t_getValue_unbound( targetArray, offset ) {\n\n\t\tthis.bind();\n\t\tthis.getValue( targetArray, offset );\n\n\t}\n\n\t_setValue_unbound( sourceArray, offset ) {\n\n\t\tthis.bind();\n\t\tthis.setValue( sourceArray, offset );\n\n\t}\n\n\t// create getter / setter pair for a property in the scene graph\n\tbind() {\n\n\t\tlet targetObject = this.node;\n\t\tconst parsedPath = this.parsedPath;\n\n\t\tconst objectName = parsedPath.objectName;\n\t\tconst propertyName = parsedPath.propertyName;\n\t\tlet propertyIndex = parsedPath.propertyIndex;\n\n\t\tif ( ! targetObject ) {\n\n\t\t\ttargetObject = PropertyBinding.findNode( this.rootNode, parsedPath.nodeName );\n\n\t\t\tthis.node = targetObject;\n\n\t\t}\n\n\t\t// set fail state so we can just 'return' on error\n\t\tthis.getValue = this._getValue_unavailable;\n\t\tthis.setValue = this._setValue_unavailable;\n\n\t\t// ensure there is a value node\n\t\tif ( ! targetObject ) {\n\n\t\t\tconsole.warn( 'THREE.PropertyBinding: No target node found for track: ' + this.path + '.' );\n\t\t\treturn;\n\n\t\t}\n\n\t\tif ( objectName ) {\n\n\t\t\tlet objectIndex = parsedPath.objectIndex;\n\n\t\t\t// special cases were we need to reach deeper into the hierarchy to get the face materials....\n\t\t\tswitch ( objectName ) {\n\n\t\t\t\tcase 'materials':\n\n\t\t\t\t\tif ( ! targetObject.material ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material as node does not have a material.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material.materials ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material.materials as node.material does not have a materials array.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject.material.materials;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'bones':\n\n\t\t\t\t\tif ( ! targetObject.skeleton ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to bones as node does not have a skeleton.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// potential future optimization: skip this if propertyIndex is already an integer\n\t\t\t\t\t// and convert the integer string to a true integer.\n\n\t\t\t\t\ttargetObject = targetObject.skeleton.bones;\n\n\t\t\t\t\t// support resolving morphTarget names into indices.\n\t\t\t\t\tfor ( let i = 0; i < targetObject.length; i ++ ) {\n\n\t\t\t\t\t\tif ( targetObject[ i ].name === objectIndex ) {\n\n\t\t\t\t\t\t\tobjectIndex = i;\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 'map':\n\n\t\t\t\t\tif ( 'map' in targetObject ) {\n\n\t\t\t\t\t\ttargetObject = targetObject.map;\n\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material as node does not have a material.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ! targetObject.material.map ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to material.map as node.material does not have a map.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject.material.map;\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tif ( targetObject[ objectName ] === undefined ) {\n\n\t\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to objectName of node undefined.', this );\n\t\t\t\t\t\treturn;\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttargetObject = targetObject[ objectName ];\n\n\t\t\t}\n\n\n\t\t\tif ( objectIndex !== undefined ) {\n\n\t\t\t\tif ( targetObject[ objectIndex ] === undefined ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Trying to bind to objectIndex of objectName, but is undefined.', this, targetObject );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\ttargetObject = targetObject[ objectIndex ];\n\n\t\t\t}\n\n\t\t}\n\n\t\t// resolve property\n\t\tconst nodeProperty = targetObject[ propertyName ];\n\n\t\tif ( nodeProperty === undefined ) {\n\n\t\t\tconst nodeName = parsedPath.nodeName;\n\n\t\t\tconsole.error( 'THREE.PropertyBinding: Trying to update property for track: ' + nodeName +\n\t\t\t\t'.' + propertyName + ' but it wasn\\'t found.', targetObject );\n\t\t\treturn;\n\n\t\t}\n\n\t\t// determine versioning scheme\n\t\tlet versioning = this.Versioning.None;\n\n\t\tthis.targetObject = targetObject;\n\n\t\tif ( targetObject.needsUpdate !== undefined ) { // material\n\n\t\t\tversioning = this.Versioning.NeedsUpdate;\n\n\t\t} else if ( targetObject.matrixWorldNeedsUpdate !== undefined ) { // node transform\n\n\t\t\tversioning = this.Versioning.MatrixWorldNeedsUpdate;\n\n\t\t}\n\n\t\t// determine how the property gets bound\n\t\tlet bindingType = this.BindingType.Direct;\n\n\t\tif ( propertyIndex !== undefined ) {\n\n\t\t\t// access a sub element of the property array (only primitives are supported right now)\n\n\t\t\tif ( propertyName === 'morphTargetInfluences' ) {\n\n\t\t\t\t// potential optimization, skip this if propertyIndex is already an integer, and convert the integer string to a true integer.\n\n\t\t\t\t// support resolving morphTarget names into indices.\n\t\t\t\tif ( ! targetObject.geometry ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.', this );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\tif ( ! targetObject.geometry.morphAttributes ) {\n\n\t\t\t\t\tconsole.error( 'THREE.PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphAttributes.', this );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t\tif ( targetObject.morphTargetDictionary[ propertyIndex ] !== undefined ) {\n\n\t\t\t\t\tpropertyIndex = targetObject.morphTargetDictionary[ propertyIndex ];\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tbindingType = this.BindingType.ArrayElement;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\t\t\tthis.propertyIndex = propertyIndex;\n\n\t\t} else if ( nodeProperty.fromArray !== undefined && nodeProperty.toArray !== undefined ) {\n\n\t\t\t// must use copy for Object3D.Euler/Quaternion\n\n\t\t\tbindingType = this.BindingType.HasFromToArray;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\n\t\t} else if ( Array.isArray( nodeProperty ) ) {\n\n\t\t\tbindingType = this.BindingType.EntireArray;\n\n\t\t\tthis.resolvedProperty = nodeProperty;\n\n\t\t} else {\n\n\t\t\tthis.propertyName = propertyName;\n\n\t\t}\n\n\t\t// select getter / setter\n\t\tthis.getValue = this.GetterByBindingType[ bindingType ];\n\t\tthis.setValue = this.SetterByBindingTypeAndVersioning[ bindingType ][ versioning ];\n\n\t}\n\n\tunbind() {\n\n\t\tthis.node = null;\n\n\t\t// back to the prototype version of getValue / setValue\n\t\t// note: avoiding to mutate the shape of 'this' via 'delete'\n\t\tthis.getValue = this._getValue_unbound;\n\t\tthis.setValue = this._setValue_unbound;\n\n\t}\n\n}\n\nPropertyBinding.Composite = Composite;\n\nPropertyBinding.prototype.BindingType = {\n\tDirect: 0,\n\tEntireArray: 1,\n\tArrayElement: 2,\n\tHasFromToArray: 3\n};\n\nPropertyBinding.prototype.Versioning = {\n\tNone: 0,\n\tNeedsUpdate: 1,\n\tMatrixWorldNeedsUpdate: 2\n};\n\nPropertyBinding.prototype.GetterByBindingType = [\n\n\tPropertyBinding.prototype._getValue_direct,\n\tPropertyBinding.prototype._getValue_array,\n\tPropertyBinding.prototype._getValue_arrayElement,\n\tPropertyBinding.prototype._getValue_toArray,\n\n];\n\nPropertyBinding.prototype.SetterByBindingTypeAndVersioning = [\n\n\t[\n\t\t// Direct\n\t\tPropertyBinding.prototype._setValue_direct,\n\t\tPropertyBinding.prototype._setValue_direct_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_direct_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// EntireArray\n\n\t\tPropertyBinding.prototype._setValue_array,\n\t\tPropertyBinding.prototype._setValue_array_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_array_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// ArrayElement\n\t\tPropertyBinding.prototype._setValue_arrayElement,\n\t\tPropertyBinding.prototype._setValue_arrayElement_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_arrayElement_setMatrixWorldNeedsUpdate,\n\n\t], [\n\n\t\t// HasToFromArray\n\t\tPropertyBinding.prototype._setValue_fromArray,\n\t\tPropertyBinding.prototype._setValue_fromArray_setNeedsUpdate,\n\t\tPropertyBinding.prototype._setValue_fromArray_setMatrixWorldNeedsUpdate,\n\n\t]\n\n];\n\n/**\n *\n * A group of objects that receives a shared animation state.\n *\n * Usage:\n *\n * - Add objects you would otherwise pass as 'root' to the\n * constructor or the .clipAction method of AnimationMixer.\n *\n * - Instead pass this object as 'root'.\n *\n * - You can also add and remove objects later when the mixer\n * is running.\n *\n * Note:\n *\n * Objects of this class appear as one object to the mixer,\n * so cache control of the individual objects must be done\n * on the group.\n *\n * Limitation:\n *\n * - The animated properties must be compatible among the\n * all objects in the group.\n *\n * - A single property can either be controlled through a\n * target group or directly, but not both.\n */\n\nclass AnimationObjectGroup {\n\n\tconstructor() {\n\n\t\tthis.isAnimationObjectGroup = true;\n\n\t\tthis.uuid = generateUUID();\n\n\t\t// cached objects followed by the active ones\n\t\tthis._objects = Array.prototype.slice.call( arguments );\n\n\t\tthis.nCachedObjects_ = 0; // threshold\n\t\t// note: read by PropertyBinding.Composite\n\n\t\tconst indices = {};\n\t\tthis._indicesByUUID = indices; // for bookkeeping\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tindices[ arguments[ i ].uuid ] = i;\n\n\t\t}\n\n\t\tthis._paths = []; // inside: string\n\t\tthis._parsedPaths = []; // inside: { we don't care, here }\n\t\tthis._bindings = []; // inside: Array< PropertyBinding >\n\t\tthis._bindingsIndicesByPath = {}; // inside: indices in these arrays\n\n\t\tconst scope = this;\n\n\t\tthis.stats = {\n\n\t\t\tobjects: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._objects.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn this.total - scope.nCachedObjects_;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tget bindingsPerObject() {\n\n\t\t\t\treturn scope._bindings.length;\n\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\tadd() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tpaths = this._paths,\n\t\t\tparsedPaths = this._parsedPaths,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet knownObject = undefined,\n\t\t\tnObjects = objects.length,\n\t\t\tnCachedObjects = this.nCachedObjects_;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid;\n\t\t\tlet index = indicesByUUID[ uuid ];\n\n\t\t\tif ( index === undefined ) {\n\n\t\t\t\t// unknown object -> add it to the ACTIVE region\n\n\t\t\t\tindex = nObjects ++;\n\t\t\t\tindicesByUUID[ uuid ] = index;\n\t\t\t\tobjects.push( object );\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tbindings[ j ].push( new PropertyBinding( object, paths[ j ], parsedPaths[ j ] ) );\n\n\t\t\t\t}\n\n\t\t\t} else if ( index < nCachedObjects ) {\n\n\t\t\t\tknownObject = objects[ index ];\n\n\t\t\t\t// move existing object to the ACTIVE region\n\n\t\t\t\tconst firstActiveIndex = -- nCachedObjects,\n\t\t\t\t\tlastCachedObject = objects[ firstActiveIndex ];\n\n\t\t\t\tindicesByUUID[ lastCachedObject.uuid ] = index;\n\t\t\t\tobjects[ index ] = lastCachedObject;\n\n\t\t\t\tindicesByUUID[ uuid ] = firstActiveIndex;\n\t\t\t\tobjects[ firstActiveIndex ] = object;\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\tlastCached = bindingsForPath[ firstActiveIndex ];\n\n\t\t\t\t\tlet binding = bindingsForPath[ index ];\n\n\t\t\t\t\tbindingsForPath[ index ] = lastCached;\n\n\t\t\t\t\tif ( binding === undefined ) {\n\n\t\t\t\t\t\t// since we do not bother to create new bindings\n\t\t\t\t\t\t// for objects that are cached, the binding may\n\t\t\t\t\t\t// or may not exist\n\n\t\t\t\t\t\tbinding = new PropertyBinding( object, paths[ j ], parsedPaths[ j ] );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbindingsForPath[ firstActiveIndex ] = binding;\n\n\t\t\t\t}\n\n\t\t\t} else if ( objects[ index ] !== knownObject ) {\n\n\t\t\t\tconsole.error( 'THREE.AnimationObjectGroup: Different objects with the same UUID ' +\n\t\t\t\t\t'detected. Clean the caches or recreate your infrastructure when reloading scenes.' );\n\n\t\t\t} // else the object is already where we want it to be\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\tremove() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet nCachedObjects = this.nCachedObjects_;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid,\n\t\t\t\tindex = indicesByUUID[ uuid ];\n\n\t\t\tif ( index !== undefined && index >= nCachedObjects ) {\n\n\t\t\t\t// move existing object into the CACHED region\n\n\t\t\t\tconst lastCachedIndex = nCachedObjects ++,\n\t\t\t\t\tfirstActiveObject = objects[ lastCachedIndex ];\n\n\t\t\t\tindicesByUUID[ firstActiveObject.uuid ] = index;\n\t\t\t\tobjects[ index ] = firstActiveObject;\n\n\t\t\t\tindicesByUUID[ uuid ] = lastCachedIndex;\n\t\t\t\tobjects[ lastCachedIndex ] = object;\n\n\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\tfirstActive = bindingsForPath[ lastCachedIndex ],\n\t\t\t\t\t\tbinding = bindingsForPath[ index ];\n\n\t\t\t\t\tbindingsForPath[ index ] = firstActive;\n\t\t\t\t\tbindingsForPath[ lastCachedIndex ] = binding;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\t// remove & forget\n\tuncache() {\n\n\t\tconst objects = this._objects,\n\t\t\tindicesByUUID = this._indicesByUUID,\n\t\t\tbindings = this._bindings,\n\t\t\tnBindings = bindings.length;\n\n\t\tlet nCachedObjects = this.nCachedObjects_,\n\t\t\tnObjects = objects.length;\n\n\t\tfor ( let i = 0, n = arguments.length; i !== n; ++ i ) {\n\n\t\t\tconst object = arguments[ i ],\n\t\t\t\tuuid = object.uuid,\n\t\t\t\tindex = indicesByUUID[ uuid ];\n\n\t\t\tif ( index !== undefined ) {\n\n\t\t\t\tdelete indicesByUUID[ uuid ];\n\n\t\t\t\tif ( index < nCachedObjects ) {\n\n\t\t\t\t\t// object is cached, shrink the CACHED region\n\n\t\t\t\t\tconst firstActiveIndex = -- nCachedObjects,\n\t\t\t\t\t\tlastCachedObject = objects[ firstActiveIndex ],\n\t\t\t\t\t\tlastIndex = -- nObjects,\n\t\t\t\t\t\tlastObject = objects[ lastIndex ];\n\n\t\t\t\t\t// last cached object takes this object's place\n\t\t\t\t\tindicesByUUID[ lastCachedObject.uuid ] = index;\n\t\t\t\t\tobjects[ index ] = lastCachedObject;\n\n\t\t\t\t\t// last object goes to the activated slot and pop\n\t\t\t\t\tindicesByUUID[ lastObject.uuid ] = firstActiveIndex;\n\t\t\t\t\tobjects[ firstActiveIndex ] = lastObject;\n\t\t\t\t\tobjects.pop();\n\n\t\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\t\tconst bindingsForPath = bindings[ j ],\n\t\t\t\t\t\t\tlastCached = bindingsForPath[ firstActiveIndex ],\n\t\t\t\t\t\t\tlast = bindingsForPath[ lastIndex ];\n\n\t\t\t\t\t\tbindingsForPath[ index ] = lastCached;\n\t\t\t\t\t\tbindingsForPath[ firstActiveIndex ] = last;\n\t\t\t\t\t\tbindingsForPath.pop();\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// object is active, just swap with the last and pop\n\n\t\t\t\t\tconst lastIndex = -- nObjects,\n\t\t\t\t\t\tlastObject = objects[ lastIndex ];\n\n\t\t\t\t\tif ( lastIndex > 0 ) {\n\n\t\t\t\t\t\tindicesByUUID[ lastObject.uuid ] = index;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tobjects[ index ] = lastObject;\n\t\t\t\t\tobjects.pop();\n\n\t\t\t\t\t// accounting is done, now do the same for all bindings\n\n\t\t\t\t\tfor ( let j = 0, m = nBindings; j !== m; ++ j ) {\n\n\t\t\t\t\t\tconst bindingsForPath = bindings[ j ];\n\n\t\t\t\t\t\tbindingsForPath[ index ] = bindingsForPath[ lastIndex ];\n\t\t\t\t\t\tbindingsForPath.pop();\n\n\t\t\t\t\t}\n\n\t\t\t\t} // cached or active\n\n\t\t\t} // if object is known\n\n\t\t} // for arguments\n\n\t\tthis.nCachedObjects_ = nCachedObjects;\n\n\t}\n\n\t// Internal interface used by befriended PropertyBinding.Composite:\n\n\tsubscribe_( path, parsedPath ) {\n\n\t\t// returns an array of bindings for the given path that is changed\n\t\t// according to the contained objects in the group\n\n\t\tconst indicesByPath = this._bindingsIndicesByPath;\n\t\tlet index = indicesByPath[ path ];\n\t\tconst bindings = this._bindings;\n\n\t\tif ( index !== undefined ) return bindings[ index ];\n\n\t\tconst paths = this._paths,\n\t\t\tparsedPaths = this._parsedPaths,\n\t\t\tobjects = this._objects,\n\t\t\tnObjects = objects.length,\n\t\t\tnCachedObjects = this.nCachedObjects_,\n\t\t\tbindingsForPath = new Array( nObjects );\n\n\t\tindex = bindings.length;\n\n\t\tindicesByPath[ path ] = index;\n\n\t\tpaths.push( path );\n\t\tparsedPaths.push( parsedPath );\n\t\tbindings.push( bindingsForPath );\n\n\t\tfor ( let i = nCachedObjects, n = objects.length; i !== n; ++ i ) {\n\n\t\t\tconst object = objects[ i ];\n\t\t\tbindingsForPath[ i ] = new PropertyBinding( object, path, parsedPath );\n\n\t\t}\n\n\t\treturn bindingsForPath;\n\n\t}\n\n\tunsubscribe_( path ) {\n\n\t\t// tells the group to forget about a property path and no longer\n\t\t// update the array previously obtained with 'subscribe_'\n\n\t\tconst indicesByPath = this._bindingsIndicesByPath,\n\t\t\tindex = indicesByPath[ path ];\n\n\t\tif ( index !== undefined ) {\n\n\t\t\tconst paths = this._paths,\n\t\t\t\tparsedPaths = this._parsedPaths,\n\t\t\t\tbindings = this._bindings,\n\t\t\t\tlastBindingsIndex = bindings.length - 1,\n\t\t\t\tlastBindings = bindings[ lastBindingsIndex ],\n\t\t\t\tlastBindingsPath = path[ lastBindingsIndex ];\n\n\t\t\tindicesByPath[ lastBindingsPath ] = index;\n\n\t\t\tbindings[ index ] = lastBindings;\n\t\t\tbindings.pop();\n\n\t\t\tparsedPaths[ index ] = parsedPaths[ lastBindingsIndex ];\n\t\t\tparsedPaths.pop();\n\n\t\t\tpaths[ index ] = paths[ lastBindingsIndex ];\n\t\t\tpaths.pop();\n\n\t\t}\n\n\t}\n\n}\n\nclass AnimationAction {\n\n\tconstructor( mixer, clip, localRoot = null, blendMode = clip.blendMode ) {\n\n\t\tthis._mixer = mixer;\n\t\tthis._clip = clip;\n\t\tthis._localRoot = localRoot;\n\t\tthis.blendMode = blendMode;\n\n\t\tconst tracks = clip.tracks,\n\t\t\tnTracks = tracks.length,\n\t\t\tinterpolants = new Array( nTracks );\n\n\t\tconst interpolantSettings = {\n\t\t\tendingStart: ZeroCurvatureEnding,\n\t\t\tendingEnd: ZeroCurvatureEnding\n\t\t};\n\n\t\tfor ( let i = 0; i !== nTracks; ++ i ) {\n\n\t\t\tconst interpolant = tracks[ i ].createInterpolant( null );\n\t\t\tinterpolants[ i ] = interpolant;\n\t\t\tinterpolant.settings = interpolantSettings;\n\n\t\t}\n\n\t\tthis._interpolantSettings = interpolantSettings;\n\n\t\tthis._interpolants = interpolants; // bound by the mixer\n\n\t\t// inside: PropertyMixer (managed by the mixer)\n\t\tthis._propertyBindings = new Array( nTracks );\n\n\t\tthis._cacheIndex = null; // for the memory manager\n\t\tthis._byClipCacheIndex = null; // for the memory manager\n\n\t\tthis._timeScaleInterpolant = null;\n\t\tthis._weightInterpolant = null;\n\n\t\tthis.loop = LoopRepeat;\n\t\tthis._loopCount = - 1;\n\n\t\t// global mixer time when the action is to be started\n\t\t// it's set back to 'null' upon start of the action\n\t\tthis._startTime = null;\n\n\t\t// scaled local time of the action\n\t\t// gets clamped or wrapped to 0..clip.duration according to loop\n\t\tthis.time = 0;\n\n\t\tthis.timeScale = 1;\n\t\tthis._effectiveTimeScale = 1;\n\n\t\tthis.weight = 1;\n\t\tthis._effectiveWeight = 1;\n\n\t\tthis.repetitions = Infinity; // no. of repetitions when looping\n\n\t\tthis.paused = false; // true -> zero effective time scale\n\t\tthis.enabled = true; // false -> zero effective weight\n\n\t\tthis.clampWhenFinished = false;// keep feeding the last frame?\n\n\t\tthis.zeroSlopeAtStart = true;// for smooth interpolation w/o separate\n\t\tthis.zeroSlopeAtEnd = true;// clips for start, loop and end\n\n\t}\n\n\t// State & Scheduling\n\n\tplay() {\n\n\t\tthis._mixer._activateAction( this );\n\n\t\treturn this;\n\n\t}\n\n\tstop() {\n\n\t\tthis._mixer._deactivateAction( this );\n\n\t\treturn this.reset();\n\n\t}\n\n\treset() {\n\n\t\tthis.paused = false;\n\t\tthis.enabled = true;\n\n\t\tthis.time = 0; // restart clip\n\t\tthis._loopCount = - 1;// forget previous loops\n\t\tthis._startTime = null;// forget scheduling\n\n\t\treturn this.stopFading().stopWarping();\n\n\t}\n\n\tisRunning() {\n\n\t\treturn this.enabled && ! this.paused && this.timeScale !== 0 &&\n\t\t\tthis._startTime === null && this._mixer._isActiveAction( this );\n\n\t}\n\n\t// return true when play has been called\n\tisScheduled() {\n\n\t\treturn this._mixer._isActiveAction( this );\n\n\t}\n\n\tstartAt( time ) {\n\n\t\tthis._startTime = time;\n\n\t\treturn this;\n\n\t}\n\n\tsetLoop( mode, repetitions ) {\n\n\t\tthis.loop = mode;\n\t\tthis.repetitions = repetitions;\n\n\t\treturn this;\n\n\t}\n\n\t// Weight\n\n\t// set the weight stopping any scheduled fading\n\t// although .enabled = false yields an effective weight of zero, this\n\t// method does *not* change .enabled, because it would be confusing\n\tsetEffectiveWeight( weight ) {\n\n\t\tthis.weight = weight;\n\n\t\t// note: same logic as when updated at runtime\n\t\tthis._effectiveWeight = this.enabled ? weight : 0;\n\n\t\treturn this.stopFading();\n\n\t}\n\n\t// return the weight considering fading and .enabled\n\tgetEffectiveWeight() {\n\n\t\treturn this._effectiveWeight;\n\n\t}\n\n\tfadeIn( duration ) {\n\n\t\treturn this._scheduleFading( duration, 0, 1 );\n\n\t}\n\n\tfadeOut( duration ) {\n\n\t\treturn this._scheduleFading( duration, 1, 0 );\n\n\t}\n\n\tcrossFadeFrom( fadeOutAction, duration, warp ) {\n\n\t\tfadeOutAction.fadeOut( duration );\n\t\tthis.fadeIn( duration );\n\n\t\tif ( warp ) {\n\n\t\t\tconst fadeInDuration = this._clip.duration,\n\t\t\t\tfadeOutDuration = fadeOutAction._clip.duration,\n\n\t\t\t\tstartEndRatio = fadeOutDuration / fadeInDuration,\n\t\t\t\tendStartRatio = fadeInDuration / fadeOutDuration;\n\n\t\t\tfadeOutAction.warp( 1.0, startEndRatio, duration );\n\t\t\tthis.warp( endStartRatio, 1.0, duration );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tcrossFadeTo( fadeInAction, duration, warp ) {\n\n\t\treturn fadeInAction.crossFadeFrom( this, duration, warp );\n\n\t}\n\n\tstopFading() {\n\n\t\tconst weightInterpolant = this._weightInterpolant;\n\n\t\tif ( weightInterpolant !== null ) {\n\n\t\t\tthis._weightInterpolant = null;\n\t\t\tthis._mixer._takeBackControlInterpolant( weightInterpolant );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Time Scale Control\n\n\t// set the time scale stopping any scheduled warping\n\t// although .paused = true yields an effective time scale of zero, this\n\t// method does *not* change .paused, because it would be confusing\n\tsetEffectiveTimeScale( timeScale ) {\n\n\t\tthis.timeScale = timeScale;\n\t\tthis._effectiveTimeScale = this.paused ? 0 : timeScale;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\t// return the time scale considering warping and .paused\n\tgetEffectiveTimeScale() {\n\n\t\treturn this._effectiveTimeScale;\n\n\t}\n\n\tsetDuration( duration ) {\n\n\t\tthis.timeScale = this._clip.duration / duration;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\tsyncWith( action ) {\n\n\t\tthis.time = action.time;\n\t\tthis.timeScale = action.timeScale;\n\n\t\treturn this.stopWarping();\n\n\t}\n\n\thalt( duration ) {\n\n\t\treturn this.warp( this._effectiveTimeScale, 0, duration );\n\n\t}\n\n\twarp( startTimeScale, endTimeScale, duration ) {\n\n\t\tconst mixer = this._mixer,\n\t\t\tnow = mixer.time,\n\t\t\ttimeScale = this.timeScale;\n\n\t\tlet interpolant = this._timeScaleInterpolant;\n\n\t\tif ( interpolant === null ) {\n\n\t\t\tinterpolant = mixer._lendControlInterpolant();\n\t\t\tthis._timeScaleInterpolant = interpolant;\n\n\t\t}\n\n\t\tconst times = interpolant.parameterPositions,\n\t\t\tvalues = interpolant.sampleValues;\n\n\t\ttimes[ 0 ] = now;\n\t\ttimes[ 1 ] = now + duration;\n\n\t\tvalues[ 0 ] = startTimeScale / timeScale;\n\t\tvalues[ 1 ] = endTimeScale / timeScale;\n\n\t\treturn this;\n\n\t}\n\n\tstopWarping() {\n\n\t\tconst timeScaleInterpolant = this._timeScaleInterpolant;\n\n\t\tif ( timeScaleInterpolant !== null ) {\n\n\t\t\tthis._timeScaleInterpolant = null;\n\t\t\tthis._mixer._takeBackControlInterpolant( timeScaleInterpolant );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Object Accessors\n\n\tgetMixer() {\n\n\t\treturn this._mixer;\n\n\t}\n\n\tgetClip() {\n\n\t\treturn this._clip;\n\n\t}\n\n\tgetRoot() {\n\n\t\treturn this._localRoot || this._mixer._root;\n\n\t}\n\n\t// Interna\n\n\t_update( time, deltaTime, timeDirection, accuIndex ) {\n\n\t\t// called by the mixer\n\n\t\tif ( ! this.enabled ) {\n\n\t\t\t// call ._updateWeight() to update ._effectiveWeight\n\n\t\t\tthis._updateWeight( time );\n\t\t\treturn;\n\n\t\t}\n\n\t\tconst startTime = this._startTime;\n\n\t\tif ( startTime !== null ) {\n\n\t\t\t// check for scheduled start of action\n\n\t\t\tconst timeRunning = ( time - startTime ) * timeDirection;\n\t\t\tif ( timeRunning < 0 || timeDirection === 0 ) {\n\n\t\t\t\tdeltaTime = 0;\n\n\t\t\t} else {\n\n\n\t\t\t\tthis._startTime = null; // unschedule\n\t\t\t\tdeltaTime = timeDirection * timeRunning;\n\n\t\t\t}\n\n\t\t}\n\n\t\t// apply time scale and advance time\n\n\t\tdeltaTime *= this._updateTimeScale( time );\n\t\tconst clipTime = this._updateTime( deltaTime );\n\n\t\t// note: _updateTime may disable the action resulting in\n\t\t// an effective weight of 0\n\n\t\tconst weight = this._updateWeight( time );\n\n\t\tif ( weight > 0 ) {\n\n\t\t\tconst interpolants = this._interpolants;\n\t\t\tconst propertyMixers = this._propertyBindings;\n\n\t\t\tswitch ( this.blendMode ) {\n\n\t\t\t\tcase AdditiveAnimationBlendMode:\n\n\t\t\t\t\tfor ( let j = 0, m = interpolants.length; j !== m; ++ j ) {\n\n\t\t\t\t\t\tinterpolants[ j ].evaluate( clipTime );\n\t\t\t\t\t\tpropertyMixers[ j ].accumulateAdditive( weight );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase NormalAnimationBlendMode:\n\t\t\t\tdefault:\n\n\t\t\t\t\tfor ( let j = 0, m = interpolants.length; j !== m; ++ j ) {\n\n\t\t\t\t\t\tinterpolants[ j ].evaluate( clipTime );\n\t\t\t\t\t\tpropertyMixers[ j ].accumulate( accuIndex, weight );\n\n\t\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_updateWeight( time ) {\n\n\t\tlet weight = 0;\n\n\t\tif ( this.enabled ) {\n\n\t\t\tweight = this.weight;\n\t\t\tconst interpolant = this._weightInterpolant;\n\n\t\t\tif ( interpolant !== null ) {\n\n\t\t\t\tconst interpolantValue = interpolant.evaluate( time )[ 0 ];\n\n\t\t\t\tweight *= interpolantValue;\n\n\t\t\t\tif ( time > interpolant.parameterPositions[ 1 ] ) {\n\n\t\t\t\t\tthis.stopFading();\n\n\t\t\t\t\tif ( interpolantValue === 0 ) {\n\n\t\t\t\t\t\t// faded out, disable\n\t\t\t\t\t\tthis.enabled = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._effectiveWeight = weight;\n\t\treturn weight;\n\n\t}\n\n\t_updateTimeScale( time ) {\n\n\t\tlet timeScale = 0;\n\n\t\tif ( ! this.paused ) {\n\n\t\t\ttimeScale = this.timeScale;\n\n\t\t\tconst interpolant = this._timeScaleInterpolant;\n\n\t\t\tif ( interpolant !== null ) {\n\n\t\t\t\tconst interpolantValue = interpolant.evaluate( time )[ 0 ];\n\n\t\t\t\ttimeScale *= interpolantValue;\n\n\t\t\t\tif ( time > interpolant.parameterPositions[ 1 ] ) {\n\n\t\t\t\t\tthis.stopWarping();\n\n\t\t\t\t\tif ( timeScale === 0 ) {\n\n\t\t\t\t\t\t// motion has halted, pause\n\t\t\t\t\t\tthis.paused = true;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\t// warp done - apply final time scale\n\t\t\t\t\t\tthis.timeScale = timeScale;\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis._effectiveTimeScale = timeScale;\n\t\treturn timeScale;\n\n\t}\n\n\t_updateTime( deltaTime ) {\n\n\t\tconst duration = this._clip.duration;\n\t\tconst loop = this.loop;\n\n\t\tlet time = this.time + deltaTime;\n\t\tlet loopCount = this._loopCount;\n\n\t\tconst pingPong = ( loop === LoopPingPong );\n\n\t\tif ( deltaTime === 0 ) {\n\n\t\t\tif ( loopCount === - 1 ) return time;\n\n\t\t\treturn ( pingPong && ( loopCount & 1 ) === 1 ) ? duration - time : time;\n\n\t\t}\n\n\t\tif ( loop === LoopOnce ) {\n\n\t\t\tif ( loopCount === - 1 ) {\n\n\t\t\t\t// just started\n\n\t\t\t\tthis._loopCount = 0;\n\t\t\t\tthis._setEndings( true, true, false );\n\n\t\t\t}\n\n\t\t\thandle_stop: {\n\n\t\t\t\tif ( time >= duration ) {\n\n\t\t\t\t\ttime = duration;\n\n\t\t\t\t} else if ( time < 0 ) {\n\n\t\t\t\t\ttime = 0;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tbreak handle_stop;\n\n\t\t\t\t}\n\n\t\t\t\tif ( this.clampWhenFinished ) this.paused = true;\n\t\t\t\telse this.enabled = false;\n\n\t\t\t\tthis.time = time;\n\n\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\ttype: 'finished', action: this,\n\t\t\t\t\tdirection: deltaTime < 0 ? - 1 : 1\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t} else { // repetitive Repeat or PingPong\n\n\t\t\tif ( loopCount === - 1 ) {\n\n\t\t\t\t// just started\n\n\t\t\t\tif ( deltaTime >= 0 ) {\n\n\t\t\t\t\tloopCount = 0;\n\n\t\t\t\t\tthis._setEndings( true, this.repetitions === 0, pingPong );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// when looping in reverse direction, the initial\n\t\t\t\t\t// transition through zero counts as a repetition,\n\t\t\t\t\t// so leave loopCount at -1\n\n\t\t\t\t\tthis._setEndings( this.repetitions === 0, true, pingPong );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( time >= duration || time < 0 ) {\n\n\t\t\t\t// wrap around\n\n\t\t\t\tconst loopDelta = Math.floor( time / duration ); // signed\n\t\t\t\ttime -= duration * loopDelta;\n\n\t\t\t\tloopCount += Math.abs( loopDelta );\n\n\t\t\t\tconst pending = this.repetitions - loopCount;\n\n\t\t\t\tif ( pending <= 0 ) {\n\n\t\t\t\t\t// have to stop (switch state, clamp time, fire event)\n\n\t\t\t\t\tif ( this.clampWhenFinished ) this.paused = true;\n\t\t\t\t\telse this.enabled = false;\n\n\t\t\t\t\ttime = deltaTime > 0 ? duration : 0;\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\t\ttype: 'finished', action: this,\n\t\t\t\t\t\tdirection: deltaTime > 0 ? 1 : - 1\n\t\t\t\t\t} );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// keep running\n\n\t\t\t\t\tif ( pending === 1 ) {\n\n\t\t\t\t\t\t// entering the last round\n\n\t\t\t\t\t\tconst atStart = deltaTime < 0;\n\t\t\t\t\t\tthis._setEndings( atStart, ! atStart, pingPong );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tthis._setEndings( false, false, pingPong );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tthis._loopCount = loopCount;\n\n\t\t\t\t\tthis.time = time;\n\n\t\t\t\t\tthis._mixer.dispatchEvent( {\n\t\t\t\t\t\ttype: 'loop', action: this, loopDelta: loopDelta\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t} else {\n\n\t\t\t\tthis.time = time;\n\n\t\t\t}\n\n\t\t\tif ( pingPong && ( loopCount & 1 ) === 1 ) {\n\n\t\t\t\t// invert time for the \"pong round\"\n\n\t\t\t\treturn duration - time;\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn time;\n\n\t}\n\n\t_setEndings( atStart, atEnd, pingPong ) {\n\n\t\tconst settings = this._interpolantSettings;\n\n\t\tif ( pingPong ) {\n\n\t\t\tsettings.endingStart = ZeroSlopeEnding;\n\t\t\tsettings.endingEnd = ZeroSlopeEnding;\n\n\t\t} else {\n\n\t\t\t// assuming for LoopOnce atStart == atEnd == true\n\n\t\t\tif ( atStart ) {\n\n\t\t\t\tsettings.endingStart = this.zeroSlopeAtStart ? ZeroSlopeEnding : ZeroCurvatureEnding;\n\n\t\t\t} else {\n\n\t\t\t\tsettings.endingStart = WrapAroundEnding;\n\n\t\t\t}\n\n\t\t\tif ( atEnd ) {\n\n\t\t\t\tsettings.endingEnd = this.zeroSlopeAtEnd ? ZeroSlopeEnding : ZeroCurvatureEnding;\n\n\t\t\t} else {\n\n\t\t\t\tsettings.endingEnd \t = WrapAroundEnding;\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_scheduleFading( duration, weightNow, weightThen ) {\n\n\t\tconst mixer = this._mixer, now = mixer.time;\n\t\tlet interpolant = this._weightInterpolant;\n\n\t\tif ( interpolant === null ) {\n\n\t\t\tinterpolant = mixer._lendControlInterpolant();\n\t\t\tthis._weightInterpolant = interpolant;\n\n\t\t}\n\n\t\tconst times = interpolant.parameterPositions,\n\t\t\tvalues = interpolant.sampleValues;\n\n\t\ttimes[ 0 ] = now;\n\t\tvalues[ 0 ] = weightNow;\n\t\ttimes[ 1 ] = now + duration;\n\t\tvalues[ 1 ] = weightThen;\n\n\t\treturn this;\n\n\t}\n\n}\n\nconst _controlInterpolantsResultBuffer = new Float32Array( 1 );\n\n\nclass AnimationMixer extends EventDispatcher {\n\n\tconstructor( root ) {\n\n\t\tsuper();\n\n\t\tthis._root = root;\n\t\tthis._initMemoryManager();\n\t\tthis._accuIndex = 0;\n\t\tthis.time = 0;\n\t\tthis.timeScale = 1.0;\n\n\t}\n\n\t_bindAction( action, prototypeAction ) {\n\n\t\tconst root = action._localRoot || this._root,\n\t\t\ttracks = action._clip.tracks,\n\t\t\tnTracks = tracks.length,\n\t\t\tbindings = action._propertyBindings,\n\t\t\tinterpolants = action._interpolants,\n\t\t\trootUuid = root.uuid,\n\t\t\tbindingsByRoot = this._bindingsByRootAndName;\n\n\t\tlet bindingsByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingsByName === undefined ) {\n\n\t\t\tbindingsByName = {};\n\t\t\tbindingsByRoot[ rootUuid ] = bindingsByName;\n\n\t\t}\n\n\t\tfor ( let i = 0; i !== nTracks; ++ i ) {\n\n\t\t\tconst track = tracks[ i ],\n\t\t\t\ttrackName = track.name;\n\n\t\t\tlet binding = bindingsByName[ trackName ];\n\n\t\t\tif ( binding !== undefined ) {\n\n\t\t\t\t++ binding.referenceCount;\n\t\t\t\tbindings[ i ] = binding;\n\n\t\t\t} else {\n\n\t\t\t\tbinding = bindings[ i ];\n\n\t\t\t\tif ( binding !== undefined ) {\n\n\t\t\t\t\t// existing binding, make sure the cache knows\n\n\t\t\t\t\tif ( binding._cacheIndex === null ) {\n\n\t\t\t\t\t\t++ binding.referenceCount;\n\t\t\t\t\t\tthis._addInactiveBinding( binding, rootUuid, trackName );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tcontinue;\n\n\t\t\t\t}\n\n\t\t\t\tconst path = prototypeAction && prototypeAction.\n\t\t\t\t\t_propertyBindings[ i ].binding.parsedPath;\n\n\t\t\t\tbinding = new PropertyMixer(\n\t\t\t\t\tPropertyBinding.create( root, trackName, path ),\n\t\t\t\t\ttrack.ValueTypeName, track.getValueSize() );\n\n\t\t\t\t++ binding.referenceCount;\n\t\t\t\tthis._addInactiveBinding( binding, rootUuid, trackName );\n\n\t\t\t\tbindings[ i ] = binding;\n\n\t\t\t}\n\n\t\t\tinterpolants[ i ].resultBuffer = binding.buffer;\n\n\t\t}\n\n\t}\n\n\t_activateAction( action ) {\n\n\t\tif ( ! this._isActiveAction( action ) ) {\n\n\t\t\tif ( action._cacheIndex === null ) {\n\n\t\t\t\t// this action has been forgotten by the cache, but the user\n\t\t\t\t// appears to be still using it -> rebind\n\n\t\t\t\tconst rootUuid = ( action._localRoot || this._root ).uuid,\n\t\t\t\t\tclipUuid = action._clip.uuid,\n\t\t\t\t\tactionsForClip = this._actionsByClip[ clipUuid ];\n\n\t\t\t\tthis._bindAction( action,\n\t\t\t\t\tactionsForClip && actionsForClip.knownActions[ 0 ] );\n\n\t\t\t\tthis._addInactiveAction( action, clipUuid, rootUuid );\n\n\t\t\t}\n\n\t\t\tconst bindings = action._propertyBindings;\n\n\t\t\t// increment reference counts / sort out state\n\t\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\t\tconst binding = bindings[ i ];\n\n\t\t\t\tif ( binding.useCount ++ === 0 ) {\n\n\t\t\t\t\tthis._lendBinding( binding );\n\t\t\t\t\tbinding.saveOriginalState();\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._lendAction( action );\n\n\t\t}\n\n\t}\n\n\t_deactivateAction( action ) {\n\n\t\tif ( this._isActiveAction( action ) ) {\n\n\t\t\tconst bindings = action._propertyBindings;\n\n\t\t\t// decrement reference counts / sort out state\n\t\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\t\tconst binding = bindings[ i ];\n\n\t\t\t\tif ( -- binding.useCount === 0 ) {\n\n\t\t\t\t\tbinding.restoreOriginalState();\n\t\t\t\t\tthis._takeBackBinding( binding );\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tthis._takeBackAction( action );\n\n\t\t}\n\n\t}\n\n\t// Memory manager\n\n\t_initMemoryManager() {\n\n\t\tthis._actions = []; // 'nActiveActions' followed by inactive ones\n\t\tthis._nActiveActions = 0;\n\n\t\tthis._actionsByClip = {};\n\t\t// inside:\n\t\t// {\n\t\t// \tknownActions: Array< AnimationAction > - used as prototypes\n\t\t// \tactionByRoot: AnimationAction - lookup\n\t\t// }\n\n\n\t\tthis._bindings = []; // 'nActiveBindings' followed by inactive ones\n\t\tthis._nActiveBindings = 0;\n\n\t\tthis._bindingsByRootAndName = {}; // inside: Map< name, PropertyMixer >\n\n\n\t\tthis._controlInterpolants = []; // same game as above\n\t\tthis._nActiveControlInterpolants = 0;\n\n\t\tconst scope = this;\n\n\t\tthis.stats = {\n\n\t\t\tactions: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._actions.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveActions;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tbindings: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._bindings.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveBindings;\n\n\t\t\t\t}\n\t\t\t},\n\t\t\tcontrolInterpolants: {\n\t\t\t\tget total() {\n\n\t\t\t\t\treturn scope._controlInterpolants.length;\n\n\t\t\t\t},\n\t\t\t\tget inUse() {\n\n\t\t\t\t\treturn scope._nActiveControlInterpolants;\n\n\t\t\t\t}\n\t\t\t}\n\n\t\t};\n\n\t}\n\n\t// Memory management for AnimationAction objects\n\n\t_isActiveAction( action ) {\n\n\t\tconst index = action._cacheIndex;\n\t\treturn index !== null && index < this._nActiveActions;\n\n\t}\n\n\t_addInactiveAction( action, clipUuid, rootUuid ) {\n\n\t\tconst actions = this._actions,\n\t\t\tactionsByClip = this._actionsByClip;\n\n\t\tlet actionsForClip = actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip === undefined ) {\n\n\t\t\tactionsForClip = {\n\n\t\t\t\tknownActions: [ action ],\n\t\t\t\tactionByRoot: {}\n\n\t\t\t};\n\n\t\t\taction._byClipCacheIndex = 0;\n\n\t\t\tactionsByClip[ clipUuid ] = actionsForClip;\n\n\t\t} else {\n\n\t\t\tconst knownActions = actionsForClip.knownActions;\n\n\t\t\taction._byClipCacheIndex = knownActions.length;\n\t\t\tknownActions.push( action );\n\n\t\t}\n\n\t\taction._cacheIndex = actions.length;\n\t\tactions.push( action );\n\n\t\tactionsForClip.actionByRoot[ rootUuid ] = action;\n\n\t}\n\n\t_removeInactiveAction( action ) {\n\n\t\tconst actions = this._actions,\n\t\t\tlastInactiveAction = actions[ actions.length - 1 ],\n\t\t\tcacheIndex = action._cacheIndex;\n\n\t\tlastInactiveAction._cacheIndex = cacheIndex;\n\t\tactions[ cacheIndex ] = lastInactiveAction;\n\t\tactions.pop();\n\n\t\taction._cacheIndex = null;\n\n\n\t\tconst clipUuid = action._clip.uuid,\n\t\t\tactionsByClip = this._actionsByClip,\n\t\t\tactionsForClip = actionsByClip[ clipUuid ],\n\t\t\tknownActionsForClip = actionsForClip.knownActions,\n\n\t\t\tlastKnownAction =\n\t\t\t\tknownActionsForClip[ knownActionsForClip.length - 1 ],\n\n\t\t\tbyClipCacheIndex = action._byClipCacheIndex;\n\n\t\tlastKnownAction._byClipCacheIndex = byClipCacheIndex;\n\t\tknownActionsForClip[ byClipCacheIndex ] = lastKnownAction;\n\t\tknownActionsForClip.pop();\n\n\t\taction._byClipCacheIndex = null;\n\n\n\t\tconst actionByRoot = actionsForClip.actionByRoot,\n\t\t\trootUuid = ( action._localRoot || this._root ).uuid;\n\n\t\tdelete actionByRoot[ rootUuid ];\n\n\t\tif ( knownActionsForClip.length === 0 ) {\n\n\t\t\tdelete actionsByClip[ clipUuid ];\n\n\t\t}\n\n\t\tthis._removeInactiveBindingsForAction( action );\n\n\t}\n\n\t_removeInactiveBindingsForAction( action ) {\n\n\t\tconst bindings = action._propertyBindings;\n\n\t\tfor ( let i = 0, n = bindings.length; i !== n; ++ i ) {\n\n\t\t\tconst binding = bindings[ i ];\n\n\t\t\tif ( -- binding.referenceCount === 0 ) {\n\n\t\t\t\tthis._removeInactiveBinding( binding );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t_lendAction( action ) {\n\n\t\t// [ active actions | inactive actions ]\n\t\t// [ active actions >| inactive actions ]\n\t\t// s a\n\t\t// <-swap->\n\t\t// a s\n\n\t\tconst actions = this._actions,\n\t\t\tprevIndex = action._cacheIndex,\n\n\t\t\tlastActiveIndex = this._nActiveActions ++,\n\n\t\t\tfirstInactiveAction = actions[ lastActiveIndex ];\n\n\t\taction._cacheIndex = lastActiveIndex;\n\t\tactions[ lastActiveIndex ] = action;\n\n\t\tfirstInactiveAction._cacheIndex = prevIndex;\n\t\tactions[ prevIndex ] = firstInactiveAction;\n\n\t}\n\n\t_takeBackAction( action ) {\n\n\t\t// [ active actions | inactive actions ]\n\t\t// [ active actions |< inactive actions ]\n\t\t// a s\n\t\t// <-swap->\n\t\t// s a\n\n\t\tconst actions = this._actions,\n\t\t\tprevIndex = action._cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveActions,\n\n\t\t\tlastActiveAction = actions[ firstInactiveIndex ];\n\n\t\taction._cacheIndex = firstInactiveIndex;\n\t\tactions[ firstInactiveIndex ] = action;\n\n\t\tlastActiveAction._cacheIndex = prevIndex;\n\t\tactions[ prevIndex ] = lastActiveAction;\n\n\t}\n\n\t// Memory management for PropertyMixer objects\n\n\t_addInactiveBinding( binding, rootUuid, trackName ) {\n\n\t\tconst bindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindings = this._bindings;\n\n\t\tlet bindingByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingByName === undefined ) {\n\n\t\t\tbindingByName = {};\n\t\t\tbindingsByRoot[ rootUuid ] = bindingByName;\n\n\t\t}\n\n\t\tbindingByName[ trackName ] = binding;\n\n\t\tbinding._cacheIndex = bindings.length;\n\t\tbindings.push( binding );\n\n\t}\n\n\t_removeInactiveBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tpropBinding = binding.binding,\n\t\t\trootUuid = propBinding.rootNode.uuid,\n\t\t\ttrackName = propBinding.path,\n\t\t\tbindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindingByName = bindingsByRoot[ rootUuid ],\n\n\t\t\tlastInactiveBinding = bindings[ bindings.length - 1 ],\n\t\t\tcacheIndex = binding._cacheIndex;\n\n\t\tlastInactiveBinding._cacheIndex = cacheIndex;\n\t\tbindings[ cacheIndex ] = lastInactiveBinding;\n\t\tbindings.pop();\n\n\t\tdelete bindingByName[ trackName ];\n\n\t\tif ( Object.keys( bindingByName ).length === 0 ) {\n\n\t\t\tdelete bindingsByRoot[ rootUuid ];\n\n\t\t}\n\n\t}\n\n\t_lendBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tprevIndex = binding._cacheIndex,\n\n\t\t\tlastActiveIndex = this._nActiveBindings ++,\n\n\t\t\tfirstInactiveBinding = bindings[ lastActiveIndex ];\n\n\t\tbinding._cacheIndex = lastActiveIndex;\n\t\tbindings[ lastActiveIndex ] = binding;\n\n\t\tfirstInactiveBinding._cacheIndex = prevIndex;\n\t\tbindings[ prevIndex ] = firstInactiveBinding;\n\n\t}\n\n\t_takeBackBinding( binding ) {\n\n\t\tconst bindings = this._bindings,\n\t\t\tprevIndex = binding._cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveBindings,\n\n\t\t\tlastActiveBinding = bindings[ firstInactiveIndex ];\n\n\t\tbinding._cacheIndex = firstInactiveIndex;\n\t\tbindings[ firstInactiveIndex ] = binding;\n\n\t\tlastActiveBinding._cacheIndex = prevIndex;\n\t\tbindings[ prevIndex ] = lastActiveBinding;\n\n\t}\n\n\n\t// Memory management of Interpolants for weight and time scale\n\n\t_lendControlInterpolant() {\n\n\t\tconst interpolants = this._controlInterpolants,\n\t\t\tlastActiveIndex = this._nActiveControlInterpolants ++;\n\n\t\tlet interpolant = interpolants[ lastActiveIndex ];\n\n\t\tif ( interpolant === undefined ) {\n\n\t\t\tinterpolant = new LinearInterpolant(\n\t\t\t\tnew Float32Array( 2 ), new Float32Array( 2 ),\n\t\t\t\t1, _controlInterpolantsResultBuffer );\n\n\t\t\tinterpolant.__cacheIndex = lastActiveIndex;\n\t\t\tinterpolants[ lastActiveIndex ] = interpolant;\n\n\t\t}\n\n\t\treturn interpolant;\n\n\t}\n\n\t_takeBackControlInterpolant( interpolant ) {\n\n\t\tconst interpolants = this._controlInterpolants,\n\t\t\tprevIndex = interpolant.__cacheIndex,\n\n\t\t\tfirstInactiveIndex = -- this._nActiveControlInterpolants,\n\n\t\t\tlastActiveInterpolant = interpolants[ firstInactiveIndex ];\n\n\t\tinterpolant.__cacheIndex = firstInactiveIndex;\n\t\tinterpolants[ firstInactiveIndex ] = interpolant;\n\n\t\tlastActiveInterpolant.__cacheIndex = prevIndex;\n\t\tinterpolants[ prevIndex ] = lastActiveInterpolant;\n\n\t}\n\n\t// return an action for a clip optionally using a custom root target\n\t// object (this method allocates a lot of dynamic memory in case a\n\t// previously unknown clip/root combination is specified)\n\tclipAction( clip, optionalRoot, blendMode ) {\n\n\t\tconst root = optionalRoot || this._root,\n\t\t\trootUuid = root.uuid;\n\n\t\tlet clipObject = typeof clip === 'string' ? AnimationClip.findByName( root, clip ) : clip;\n\n\t\tconst clipUuid = clipObject !== null ? clipObject.uuid : clip;\n\n\t\tconst actionsForClip = this._actionsByClip[ clipUuid ];\n\t\tlet prototypeAction = null;\n\n\t\tif ( blendMode === undefined ) {\n\n\t\t\tif ( clipObject !== null ) {\n\n\t\t\t\tblendMode = clipObject.blendMode;\n\n\t\t\t} else {\n\n\t\t\t\tblendMode = NormalAnimationBlendMode;\n\n\t\t\t}\n\n\t\t}\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\tconst existingAction = actionsForClip.actionByRoot[ rootUuid ];\n\n\t\t\tif ( existingAction !== undefined && existingAction.blendMode === blendMode ) {\n\n\t\t\t\treturn existingAction;\n\n\t\t\t}\n\n\t\t\t// we know the clip, so we don't have to parse all\n\t\t\t// the bindings again but can just copy\n\t\t\tprototypeAction = actionsForClip.knownActions[ 0 ];\n\n\t\t\t// also, take the clip from the prototype action\n\t\t\tif ( clipObject === null )\n\t\t\t\tclipObject = prototypeAction._clip;\n\n\t\t}\n\n\t\t// clip must be known when specified via string\n\t\tif ( clipObject === null ) return null;\n\n\t\t// allocate all resources required to run it\n\t\tconst newAction = new AnimationAction( this, clipObject, optionalRoot, blendMode );\n\n\t\tthis._bindAction( newAction, prototypeAction );\n\n\t\t// and make the action known to the memory manager\n\t\tthis._addInactiveAction( newAction, clipUuid, rootUuid );\n\n\t\treturn newAction;\n\n\t}\n\n\t// get an existing action\n\texistingAction( clip, optionalRoot ) {\n\n\t\tconst root = optionalRoot || this._root,\n\t\t\trootUuid = root.uuid,\n\n\t\t\tclipObject = typeof clip === 'string' ?\n\t\t\t\tAnimationClip.findByName( root, clip ) : clip,\n\n\t\t\tclipUuid = clipObject ? clipObject.uuid : clip,\n\n\t\t\tactionsForClip = this._actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\treturn actionsForClip.actionByRoot[ rootUuid ] || null;\n\n\t\t}\n\n\t\treturn null;\n\n\t}\n\n\t// deactivates all previously scheduled actions\n\tstopAllAction() {\n\n\t\tconst actions = this._actions,\n\t\t\tnActions = this._nActiveActions;\n\n\t\tfor ( let i = nActions - 1; i >= 0; -- i ) {\n\n\t\t\tactions[ i ].stop();\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// advance the time and update apply the animation\n\tupdate( deltaTime ) {\n\n\t\tdeltaTime *= this.timeScale;\n\n\t\tconst actions = this._actions,\n\t\t\tnActions = this._nActiveActions,\n\n\t\t\ttime = this.time += deltaTime,\n\t\t\ttimeDirection = Math.sign( deltaTime ),\n\n\t\t\taccuIndex = this._accuIndex ^= 1;\n\n\t\t// run active actions\n\n\t\tfor ( let i = 0; i !== nActions; ++ i ) {\n\n\t\t\tconst action = actions[ i ];\n\n\t\t\taction._update( time, deltaTime, timeDirection, accuIndex );\n\n\t\t}\n\n\t\t// update scene graph\n\n\t\tconst bindings = this._bindings,\n\t\t\tnBindings = this._nActiveBindings;\n\n\t\tfor ( let i = 0; i !== nBindings; ++ i ) {\n\n\t\t\tbindings[ i ].apply( accuIndex );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\t// Allows you to seek to a specific time in an animation.\n\tsetTime( timeInSeconds ) {\n\n\t\tthis.time = 0; // Zero out time attribute for AnimationMixer object;\n\t\tfor ( let i = 0; i < this._actions.length; i ++ ) {\n\n\t\t\tthis._actions[ i ].time = 0; // Zero out time attribute for all associated AnimationAction objects.\n\n\t\t}\n\n\t\treturn this.update( timeInSeconds ); // Update used to set exact time. Returns \"this\" AnimationMixer object.\n\n\t}\n\n\t// return this mixer's root target object\n\tgetRoot() {\n\n\t\treturn this._root;\n\n\t}\n\n\t// free all resources specific to a particular clip\n\tuncacheClip( clip ) {\n\n\t\tconst actions = this._actions,\n\t\t\tclipUuid = clip.uuid,\n\t\t\tactionsByClip = this._actionsByClip,\n\t\t\tactionsForClip = actionsByClip[ clipUuid ];\n\n\t\tif ( actionsForClip !== undefined ) {\n\n\t\t\t// note: just calling _removeInactiveAction would mess up the\n\t\t\t// iteration state and also require updating the state we can\n\t\t\t// just throw away\n\n\t\t\tconst actionsToRemove = actionsForClip.knownActions;\n\n\t\t\tfor ( let i = 0, n = actionsToRemove.length; i !== n; ++ i ) {\n\n\t\t\t\tconst action = actionsToRemove[ i ];\n\n\t\t\t\tthis._deactivateAction( action );\n\n\t\t\t\tconst cacheIndex = action._cacheIndex,\n\t\t\t\t\tlastInactiveAction = actions[ actions.length - 1 ];\n\n\t\t\t\taction._cacheIndex = null;\n\t\t\t\taction._byClipCacheIndex = null;\n\n\t\t\t\tlastInactiveAction._cacheIndex = cacheIndex;\n\t\t\t\tactions[ cacheIndex ] = lastInactiveAction;\n\t\t\t\tactions.pop();\n\n\t\t\t\tthis._removeInactiveBindingsForAction( action );\n\n\t\t\t}\n\n\t\t\tdelete actionsByClip[ clipUuid ];\n\n\t\t}\n\n\t}\n\n\t// free all resources specific to a particular root target object\n\tuncacheRoot( root ) {\n\n\t\tconst rootUuid = root.uuid,\n\t\t\tactionsByClip = this._actionsByClip;\n\n\t\tfor ( const clipUuid in actionsByClip ) {\n\n\t\t\tconst actionByRoot = actionsByClip[ clipUuid ].actionByRoot,\n\t\t\t\taction = actionByRoot[ rootUuid ];\n\n\t\t\tif ( action !== undefined ) {\n\n\t\t\t\tthis._deactivateAction( action );\n\t\t\t\tthis._removeInactiveAction( action );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst bindingsByRoot = this._bindingsByRootAndName,\n\t\t\tbindingByName = bindingsByRoot[ rootUuid ];\n\n\t\tif ( bindingByName !== undefined ) {\n\n\t\t\tfor ( const trackName in bindingByName ) {\n\n\t\t\t\tconst binding = bindingByName[ trackName ];\n\t\t\t\tbinding.restoreOriginalState();\n\t\t\t\tthis._removeInactiveBinding( binding );\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t// remove a targeted clip from the cache\n\tuncacheAction( clip, optionalRoot ) {\n\n\t\tconst action = this.existingAction( clip, optionalRoot );\n\n\t\tif ( action !== null ) {\n\n\t\t\tthis._deactivateAction( action );\n\t\t\tthis._removeInactiveAction( action );\n\n\t\t}\n\n\t}\n\n}\n\nclass Uniform {\n\n\tconstructor( value ) {\n\n\t\tthis.value = value;\n\n\t}\n\n\tclone() {\n\n\t\treturn new Uniform( this.value.clone === undefined ? this.value : this.value.clone() );\n\n\t}\n\n}\n\nlet _id = 0;\n\nclass UniformsGroup extends EventDispatcher {\n\n\tconstructor() {\n\n\t\tsuper();\n\n\t\tthis.isUniformsGroup = true;\n\n\t\tObject.defineProperty( this, 'id', { value: _id ++ } );\n\n\t\tthis.name = '';\n\n\t\tthis.usage = StaticDrawUsage;\n\t\tthis.uniforms = [];\n\n\t}\n\n\tadd( uniform ) {\n\n\t\tthis.uniforms.push( uniform );\n\n\t\treturn this;\n\n\t}\n\n\tremove( uniform ) {\n\n\t\tconst index = this.uniforms.indexOf( uniform );\n\n\t\tif ( index !== - 1 ) this.uniforms.splice( index, 1 );\n\n\t\treturn this;\n\n\t}\n\n\tsetName( name ) {\n\n\t\tthis.name = name;\n\n\t\treturn this;\n\n\t}\n\n\tsetUsage( value ) {\n\n\t\tthis.usage = value;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.dispatchEvent( { type: 'dispose' } );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tthis.name = source.name;\n\t\tthis.usage = source.usage;\n\n\t\tconst uniformsSource = source.uniforms;\n\n\t\tthis.uniforms.length = 0;\n\n\t\tfor ( let i = 0, l = uniformsSource.length; i < l; i ++ ) {\n\n\t\t\tconst uniforms = Array.isArray( uniformsSource[ i ] ) ? uniformsSource[ i ] : [ uniformsSource[ i ] ];\n\n\t\t\tfor ( let j = 0; j < uniforms.length; j ++ ) {\n\n\t\t\t\tthis.uniforms.push( uniforms[ j ].clone() );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nclass InstancedInterleavedBuffer extends InterleavedBuffer {\n\n\tconstructor( array, stride, meshPerAttribute = 1 ) {\n\n\t\tsuper( array, stride );\n\n\t\tthis.isInstancedInterleavedBuffer = true;\n\n\t\tthis.meshPerAttribute = meshPerAttribute;\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source );\n\n\t\tthis.meshPerAttribute = source.meshPerAttribute;\n\n\t\treturn this;\n\n\t}\n\n\tclone( data ) {\n\n\t\tconst ib = super.clone( data );\n\n\t\tib.meshPerAttribute = this.meshPerAttribute;\n\n\t\treturn ib;\n\n\t}\n\n\ttoJSON( data ) {\n\n\t\tconst json = super.toJSON( data );\n\n\t\tjson.isInstancedInterleavedBuffer = true;\n\t\tjson.meshPerAttribute = this.meshPerAttribute;\n\n\t\treturn json;\n\n\t}\n\n}\n\nclass GLBufferAttribute {\n\n\tconstructor( buffer, type, itemSize, elementSize, count ) {\n\n\t\tthis.isGLBufferAttribute = true;\n\n\t\tthis.name = '';\n\n\t\tthis.buffer = buffer;\n\t\tthis.type = type;\n\t\tthis.itemSize = itemSize;\n\t\tthis.elementSize = elementSize;\n\t\tthis.count = count;\n\n\t\tthis.version = 0;\n\n\t}\n\n\tset needsUpdate( value ) {\n\n\t\tif ( value === true ) this.version ++;\n\n\t}\n\n\tsetBuffer( buffer ) {\n\n\t\tthis.buffer = buffer;\n\n\t\treturn this;\n\n\t}\n\n\tsetType( type, elementSize ) {\n\n\t\tthis.type = type;\n\t\tthis.elementSize = elementSize;\n\n\t\treturn this;\n\n\t}\n\n\tsetItemSize( itemSize ) {\n\n\t\tthis.itemSize = itemSize;\n\n\t\treturn this;\n\n\t}\n\n\tsetCount( count ) {\n\n\t\tthis.count = count;\n\n\t\treturn this;\n\n\t}\n\n}\n\nclass Raycaster {\n\n\tconstructor( origin, direction, near = 0, far = Infinity ) {\n\n\t\tthis.ray = new Ray( origin, direction );\n\t\t// direction is assumed to be normalized (for accurate distance calculations)\n\n\t\tthis.near = near;\n\t\tthis.far = far;\n\t\tthis.camera = null;\n\t\tthis.layers = new Layers();\n\n\t\tthis.params = {\n\t\t\tMesh: {},\n\t\t\tLine: { threshold: 1 },\n\t\t\tLOD: {},\n\t\t\tPoints: { threshold: 1 },\n\t\t\tSprite: {}\n\t\t};\n\n\t}\n\n\tset( origin, direction ) {\n\n\t\t// direction is assumed to be normalized (for accurate distance calculations)\n\n\t\tthis.ray.set( origin, direction );\n\n\t}\n\n\tsetFromCamera( coords, camera ) {\n\n\t\tif ( camera.isPerspectiveCamera ) {\n\n\t\t\tthis.ray.origin.setFromMatrixPosition( camera.matrixWorld );\n\t\t\tthis.ray.direction.set( coords.x, coords.y, 0.5 ).unproject( camera ).sub( this.ray.origin ).normalize();\n\t\t\tthis.camera = camera;\n\n\t\t} else if ( camera.isOrthographicCamera ) {\n\n\t\t\tthis.ray.origin.set( coords.x, coords.y, ( camera.near + camera.far ) / ( camera.near - camera.far ) ).unproject( camera ); // set origin in plane of camera\n\t\t\tthis.ray.direction.set( 0, 0, - 1 ).transformDirection( camera.matrixWorld );\n\t\t\tthis.camera = camera;\n\n\t\t} else {\n\n\t\t\tconsole.error( 'THREE.Raycaster: Unsupported camera type: ' + camera.type );\n\n\t\t}\n\n\t}\n\n\tintersectObject( object, recursive = true, intersects = [] ) {\n\n\t\tintersectObject( object, this, intersects, recursive );\n\n\t\tintersects.sort( ascSort );\n\n\t\treturn intersects;\n\n\t}\n\n\tintersectObjects( objects, recursive = true, intersects = [] ) {\n\n\t\tfor ( let i = 0, l = objects.length; i < l; i ++ ) {\n\n\t\t\tintersectObject( objects[ i ], this, intersects, recursive );\n\n\t\t}\n\n\t\tintersects.sort( ascSort );\n\n\t\treturn intersects;\n\n\t}\n\n}\n\nfunction ascSort( a, b ) {\n\n\treturn a.distance - b.distance;\n\n}\n\nfunction intersectObject( object, raycaster, intersects, recursive ) {\n\n\tif ( object.layers.test( raycaster.layers ) ) {\n\n\t\tobject.raycast( raycaster, intersects );\n\n\t}\n\n\tif ( recursive === true ) {\n\n\t\tconst children = object.children;\n\n\t\tfor ( let i = 0, l = children.length; i < l; i ++ ) {\n\n\t\t\tintersectObject( children[ i ], raycaster, intersects, true );\n\n\t\t}\n\n\t}\n\n}\n\n/**\n * Ref: https://en.wikipedia.org/wiki/Spherical_coordinate_system\n *\n * The polar angle (phi) is measured from the positive y-axis. The positive y-axis is up.\n * The azimuthal angle (theta) is measured from the positive z-axis.\n */\n\n\nclass Spherical {\n\n\tconstructor( radius = 1, phi = 0, theta = 0 ) {\n\n\t\tthis.radius = radius;\n\t\tthis.phi = phi; // polar angle\n\t\tthis.theta = theta; // azimuthal angle\n\n\t\treturn this;\n\n\t}\n\n\tset( radius, phi, theta ) {\n\n\t\tthis.radius = radius;\n\t\tthis.phi = phi;\n\t\tthis.theta = theta;\n\n\t\treturn this;\n\n\t}\n\n\tcopy( other ) {\n\n\t\tthis.radius = other.radius;\n\t\tthis.phi = other.phi;\n\t\tthis.theta = other.theta;\n\n\t\treturn this;\n\n\t}\n\n\t// restrict phi to be between EPS and PI-EPS\n\tmakeSafe() {\n\n\t\tconst EPS = 0.000001;\n\t\tthis.phi = Math.max( EPS, Math.min( Math.PI - EPS, this.phi ) );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\treturn this.setFromCartesianCoords( v.x, v.y, v.z );\n\n\t}\n\n\tsetFromCartesianCoords( x, y, z ) {\n\n\t\tthis.radius = Math.sqrt( x * x + y * y + z * z );\n\n\t\tif ( this.radius === 0 ) {\n\n\t\t\tthis.theta = 0;\n\t\t\tthis.phi = 0;\n\n\t\t} else {\n\n\t\t\tthis.theta = Math.atan2( x, z );\n\t\t\tthis.phi = Math.acos( clamp( y / this.radius, - 1, 1 ) );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\n/**\n * Ref: https://en.wikipedia.org/wiki/Cylindrical_coordinate_system\n */\n\nclass Cylindrical {\n\n\tconstructor( radius = 1, theta = 0, y = 0 ) {\n\n\t\tthis.radius = radius; // distance from the origin to a point in the x-z plane\n\t\tthis.theta = theta; // counterclockwise angle in the x-z plane measured in radians from the positive z-axis\n\t\tthis.y = y; // height above the x-z plane\n\n\t\treturn this;\n\n\t}\n\n\tset( radius, theta, y ) {\n\n\t\tthis.radius = radius;\n\t\tthis.theta = theta;\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tcopy( other ) {\n\n\t\tthis.radius = other.radius;\n\t\tthis.theta = other.theta;\n\t\tthis.y = other.y;\n\n\t\treturn this;\n\n\t}\n\n\tsetFromVector3( v ) {\n\n\t\treturn this.setFromCartesianCoords( v.x, v.y, v.z );\n\n\t}\n\n\tsetFromCartesianCoords( x, y, z ) {\n\n\t\tthis.radius = Math.sqrt( x * x + z * z );\n\t\tthis.theta = Math.atan2( x, z );\n\t\tthis.y = y;\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$4 = /*@__PURE__*/ new Vector2();\n\nclass Box2 {\n\n\tconstructor( min = new Vector2( + Infinity, + Infinity ), max = new Vector2( - Infinity, - Infinity ) ) {\n\n\t\tthis.isBox2 = true;\n\n\t\tthis.min = min;\n\t\tthis.max = max;\n\n\t}\n\n\tset( min, max ) {\n\n\t\tthis.min.copy( min );\n\t\tthis.max.copy( max );\n\n\t\treturn this;\n\n\t}\n\n\tsetFromPoints( points ) {\n\n\t\tthis.makeEmpty();\n\n\t\tfor ( let i = 0, il = points.length; i < il; i ++ ) {\n\n\t\t\tthis.expandByPoint( points[ i ] );\n\n\t\t}\n\n\t\treturn this;\n\n\t}\n\n\tsetFromCenterAndSize( center, size ) {\n\n\t\tconst halfSize = _vector$4.copy( size ).multiplyScalar( 0.5 );\n\t\tthis.min.copy( center ).sub( halfSize );\n\t\tthis.max.copy( center ).add( halfSize );\n\n\t\treturn this;\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n\tcopy( box ) {\n\n\t\tthis.min.copy( box.min );\n\t\tthis.max.copy( box.max );\n\n\t\treturn this;\n\n\t}\n\n\tmakeEmpty() {\n\n\t\tthis.min.x = this.min.y = + Infinity;\n\t\tthis.max.x = this.max.y = - Infinity;\n\n\t\treturn this;\n\n\t}\n\n\tisEmpty() {\n\n\t\t// this is a more robust check for empty than ( volume <= 0 ) because volume can get positive with two negative axes\n\n\t\treturn ( this.max.x < this.min.x ) || ( this.max.y < this.min.y );\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0 ) : target.addVectors( this.min, this.max ).multiplyScalar( 0.5 );\n\n\t}\n\n\tgetSize( target ) {\n\n\t\treturn this.isEmpty() ? target.set( 0, 0 ) : target.subVectors( this.max, this.min );\n\n\t}\n\n\texpandByPoint( point ) {\n\n\t\tthis.min.min( point );\n\t\tthis.max.max( point );\n\n\t\treturn this;\n\n\t}\n\n\texpandByVector( vector ) {\n\n\t\tthis.min.sub( vector );\n\t\tthis.max.add( vector );\n\n\t\treturn this;\n\n\t}\n\n\texpandByScalar( scalar ) {\n\n\t\tthis.min.addScalar( - scalar );\n\t\tthis.max.addScalar( scalar );\n\n\t\treturn this;\n\n\t}\n\n\tcontainsPoint( point ) {\n\n\t\treturn point.x < this.min.x || point.x > this.max.x ||\n\t\t\tpoint.y < this.min.y || point.y > this.max.y ? false : true;\n\n\t}\n\n\tcontainsBox( box ) {\n\n\t\treturn this.min.x <= box.min.x && box.max.x <= this.max.x &&\n\t\t\tthis.min.y <= box.min.y && box.max.y <= this.max.y;\n\n\t}\n\n\tgetParameter( point, target ) {\n\n\t\t// This can potentially have a divide by zero if the box\n\t\t// has a size dimension of 0.\n\n\t\treturn target.set(\n\t\t\t( point.x - this.min.x ) / ( this.max.x - this.min.x ),\n\t\t\t( point.y - this.min.y ) / ( this.max.y - this.min.y )\n\t\t);\n\n\t}\n\n\tintersectsBox( box ) {\n\n\t\t// using 4 splitting planes to rule out intersections\n\n\t\treturn box.max.x < this.min.x || box.min.x > this.max.x ||\n\t\t\tbox.max.y < this.min.y || box.min.y > this.max.y ? false : true;\n\n\t}\n\n\tclampPoint( point, target ) {\n\n\t\treturn target.copy( point ).clamp( this.min, this.max );\n\n\t}\n\n\tdistanceToPoint( point ) {\n\n\t\treturn this.clampPoint( point, _vector$4 ).distanceTo( point );\n\n\t}\n\n\tintersect( box ) {\n\n\t\tthis.min.max( box.min );\n\t\tthis.max.min( box.max );\n\n\t\tif ( this.isEmpty() ) this.makeEmpty();\n\n\t\treturn this;\n\n\t}\n\n\tunion( box ) {\n\n\t\tthis.min.min( box.min );\n\t\tthis.max.max( box.max );\n\n\t\treturn this;\n\n\t}\n\n\ttranslate( offset ) {\n\n\t\tthis.min.add( offset );\n\t\tthis.max.add( offset );\n\n\t\treturn this;\n\n\t}\n\n\tequals( box ) {\n\n\t\treturn box.min.equals( this.min ) && box.max.equals( this.max );\n\n\t}\n\n}\n\nconst _startP = /*@__PURE__*/ new Vector3();\nconst _startEnd = /*@__PURE__*/ new Vector3();\n\nclass Line3 {\n\n\tconstructor( start = new Vector3(), end = new Vector3() ) {\n\n\t\tthis.start = start;\n\t\tthis.end = end;\n\n\t}\n\n\tset( start, end ) {\n\n\t\tthis.start.copy( start );\n\t\tthis.end.copy( end );\n\n\t\treturn this;\n\n\t}\n\n\tcopy( line ) {\n\n\t\tthis.start.copy( line.start );\n\t\tthis.end.copy( line.end );\n\n\t\treturn this;\n\n\t}\n\n\tgetCenter( target ) {\n\n\t\treturn target.addVectors( this.start, this.end ).multiplyScalar( 0.5 );\n\n\t}\n\n\tdelta( target ) {\n\n\t\treturn target.subVectors( this.end, this.start );\n\n\t}\n\n\tdistanceSq() {\n\n\t\treturn this.start.distanceToSquared( this.end );\n\n\t}\n\n\tdistance() {\n\n\t\treturn this.start.distanceTo( this.end );\n\n\t}\n\n\tat( t, target ) {\n\n\t\treturn this.delta( target ).multiplyScalar( t ).add( this.start );\n\n\t}\n\n\tclosestPointToPointParameter( point, clampToLine ) {\n\n\t\t_startP.subVectors( point, this.start );\n\t\t_startEnd.subVectors( this.end, this.start );\n\n\t\tconst startEnd2 = _startEnd.dot( _startEnd );\n\t\tconst startEnd_startP = _startEnd.dot( _startP );\n\n\t\tlet t = startEnd_startP / startEnd2;\n\n\t\tif ( clampToLine ) {\n\n\t\t\tt = clamp( t, 0, 1 );\n\n\t\t}\n\n\t\treturn t;\n\n\t}\n\n\tclosestPointToPoint( point, clampToLine, target ) {\n\n\t\tconst t = this.closestPointToPointParameter( point, clampToLine );\n\n\t\treturn this.delta( target ).multiplyScalar( t ).add( this.start );\n\n\t}\n\n\tapplyMatrix4( matrix ) {\n\n\t\tthis.start.applyMatrix4( matrix );\n\t\tthis.end.applyMatrix4( matrix );\n\n\t\treturn this;\n\n\t}\n\n\tequals( line ) {\n\n\t\treturn line.start.equals( this.start ) && line.end.equals( this.end );\n\n\t}\n\n\tclone() {\n\n\t\treturn new this.constructor().copy( this );\n\n\t}\n\n}\n\nconst _vector$3 = /*@__PURE__*/ new Vector3();\n\nclass SpotLightHelper extends Object3D {\n\n\tconstructor( light, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'SpotLightHelper';\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tconst positions = [\n\t\t\t0, 0, 0, \t0, 0, 1,\n\t\t\t0, 0, 0, \t1, 0, 1,\n\t\t\t0, 0, 0,\t- 1, 0, 1,\n\t\t\t0, 0, 0, \t0, 1, 1,\n\t\t\t0, 0, 0, \t0, - 1, 1\n\t\t];\n\n\t\tfor ( let i = 0, j = 1, l = 32; i < l; i ++, j ++ ) {\n\n\t\t\tconst p1 = ( i / l ) * Math.PI * 2;\n\t\t\tconst p2 = ( j / l ) * Math.PI * 2;\n\n\t\t\tpositions.push(\n\t\t\t\tMath.cos( p1 ), Math.sin( p1 ), 1,\n\t\t\t\tMath.cos( p2 ), Math.sin( p2 ), 1\n\t\t\t);\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { fog: false, toneMapped: false } );\n\n\t\tthis.cone = new LineSegments( geometry, material );\n\t\tthis.add( this.cone );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.cone.geometry.dispose();\n\t\tthis.cone.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\t\tthis.light.target.updateWorldMatrix( true, false );\n\n\t\tconst coneLength = this.light.distance ? this.light.distance : 1000;\n\t\tconst coneWidth = coneLength * Math.tan( this.light.angle );\n\n\t\tthis.cone.scale.set( coneWidth, coneWidth, coneLength );\n\n\t\t_vector$3.setFromMatrixPosition( this.light.target.matrixWorld );\n\n\t\tthis.cone.lookAt( _vector$3 );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.cone.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.cone.material.color.copy( this.light.color );\n\n\t\t}\n\n\t}\n\n}\n\nconst _vector$2 = /*@__PURE__*/ new Vector3();\nconst _boneMatrix = /*@__PURE__*/ new Matrix4();\nconst _matrixWorldInv = /*@__PURE__*/ new Matrix4();\n\n\nclass SkeletonHelper extends LineSegments {\n\n\tconstructor( object ) {\n\n\t\tconst bones = getBoneList( object );\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\tconst color1 = new Color( 0, 0, 1 );\n\t\tconst color2 = new Color( 0, 1, 0 );\n\n\t\tfor ( let i = 0; i < bones.length; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\n\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tcolors.push( color1.r, color1.g, color1.b );\n\t\t\t\tcolors.push( color2.r, color2.g, color2.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, depthTest: false, depthWrite: false, toneMapped: false, transparent: true } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.isSkeletonHelper = true;\n\n\t\tthis.type = 'SkeletonHelper';\n\n\t\tthis.root = object;\n\t\tthis.bones = bones;\n\n\t\tthis.matrix = object.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tconst bones = this.bones;\n\n\t\tconst geometry = this.geometry;\n\t\tconst position = geometry.getAttribute( 'position' );\n\n\t\t_matrixWorldInv.copy( this.root.matrixWorld ).invert();\n\n\t\tfor ( let i = 0, j = 0; i < bones.length; i ++ ) {\n\n\t\t\tconst bone = bones[ i ];\n\n\t\t\tif ( bone.parent && bone.parent.isBone ) {\n\n\t\t\t\t_boneMatrix.multiplyMatrices( _matrixWorldInv, bone.matrixWorld );\n\t\t\t\t_vector$2.setFromMatrixPosition( _boneMatrix );\n\t\t\t\tposition.setXYZ( j, _vector$2.x, _vector$2.y, _vector$2.z );\n\n\t\t\t\t_boneMatrix.multiplyMatrices( _matrixWorldInv, bone.parent.matrixWorld );\n\t\t\t\t_vector$2.setFromMatrixPosition( _boneMatrix );\n\t\t\t\tposition.setXYZ( j + 1, _vector$2.x, _vector$2.y, _vector$2.z );\n\n\t\t\t\tj += 2;\n\n\t\t\t}\n\n\t\t}\n\n\t\tgeometry.getAttribute( 'position' ).needsUpdate = true;\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\n\nfunction getBoneList( object ) {\n\n\tconst boneList = [];\n\n\tif ( object.isBone === true ) {\n\n\t\tboneList.push( object );\n\n\t}\n\n\tfor ( let i = 0; i < object.children.length; i ++ ) {\n\n\t\tboneList.push.apply( boneList, getBoneList( object.children[ i ] ) );\n\n\t}\n\n\treturn boneList;\n\n}\n\nclass PointLightHelper extends Mesh {\n\n\tconstructor( light, sphereSize, color ) {\n\n\t\tconst geometry = new SphereGeometry( sphereSize, 4, 2 );\n\t\tconst material = new MeshBasicMaterial( { wireframe: true, fog: false, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.light = light;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'PointLightHelper';\n\n\t\tthis.matrix = this.light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.update();\n\n\n\t\t/*\n\t// TODO: delete this comment?\n\tconst distanceGeometry = new THREE.IcosahedronGeometry( 1, 2 );\n\tconst distanceMaterial = new THREE.MeshBasicMaterial( { color: hexColor, fog: false, wireframe: true, opacity: 0.1, transparent: true } );\n\n\tthis.lightSphere = new THREE.Mesh( bulbGeometry, bulbMaterial );\n\tthis.lightDistance = new THREE.Mesh( distanceGeometry, distanceMaterial );\n\n\tconst d = light.distance;\n\n\tif ( d === 0.0 ) {\n\n\t\tthis.lightDistance.visible = false;\n\n\t} else {\n\n\t\tthis.lightDistance.scale.set( d, d, d );\n\n\t}\n\n\tthis.add( this.lightDistance );\n\t*/\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.material.color.copy( this.light.color );\n\n\t\t}\n\n\t\t/*\n\t\tconst d = this.light.distance;\n\n\t\tif ( d === 0.0 ) {\n\n\t\t\tthis.lightDistance.visible = false;\n\n\t\t} else {\n\n\t\t\tthis.lightDistance.visible = true;\n\t\t\tthis.lightDistance.scale.set( d, d, d );\n\n\t\t}\n\t\t*/\n\n\t}\n\n}\n\nconst _vector$1 = /*@__PURE__*/ new Vector3();\nconst _color1 = /*@__PURE__*/ new Color();\nconst _color2 = /*@__PURE__*/ new Color();\n\nclass HemisphereLightHelper extends Object3D {\n\n\tconstructor( light, size, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'HemisphereLightHelper';\n\n\t\tconst geometry = new OctahedronGeometry( size );\n\t\tgeometry.rotateY( Math.PI * 0.5 );\n\n\t\tthis.material = new MeshBasicMaterial( { wireframe: true, fog: false, toneMapped: false } );\n\t\tif ( this.color === undefined ) this.material.vertexColors = true;\n\n\t\tconst position = geometry.getAttribute( 'position' );\n\t\tconst colors = new Float32Array( position.count * 3 );\n\n\t\tgeometry.setAttribute( 'color', new BufferAttribute( colors, 3 ) );\n\n\t\tthis.add( new Mesh( geometry, this.material ) );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.children[ 0 ].geometry.dispose();\n\t\tthis.children[ 0 ].material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tconst mesh = this.children[ 0 ];\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tconst colors = mesh.geometry.getAttribute( 'color' );\n\n\t\t\t_color1.copy( this.light.color );\n\t\t\t_color2.copy( this.light.groundColor );\n\n\t\t\tfor ( let i = 0, l = colors.count; i < l; i ++ ) {\n\n\t\t\t\tconst color = ( i < ( l / 2 ) ) ? _color1 : _color2;\n\n\t\t\t\tcolors.setXYZ( i, color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t\tcolors.needsUpdate = true;\n\n\t\t}\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\n\t\tmesh.lookAt( _vector$1.setFromMatrixPosition( this.light.matrixWorld ).negate() );\n\n\t}\n\n}\n\nclass GridHelper extends LineSegments {\n\n\tconstructor( size = 10, divisions = 10, color1 = 0x444444, color2 = 0x888888 ) {\n\n\t\tcolor1 = new Color( color1 );\n\t\tcolor2 = new Color( color2 );\n\n\t\tconst center = divisions / 2;\n\t\tconst step = size / divisions;\n\t\tconst halfSize = size / 2;\n\n\t\tconst vertices = [], colors = [];\n\n\t\tfor ( let i = 0, j = 0, k = - halfSize; i <= divisions; i ++, k += step ) {\n\n\t\t\tvertices.push( - halfSize, 0, k, halfSize, 0, k );\n\t\t\tvertices.push( k, 0, - halfSize, k, 0, halfSize );\n\n\t\t\tconst color = i === center ? color1 : color2;\n\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\t\t\tcolor.toArray( colors, j ); j += 3;\n\n\t\t}\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'GridHelper';\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass PolarGridHelper extends LineSegments {\n\n\tconstructor( radius = 10, sectors = 16, rings = 8, divisions = 64, color1 = 0x444444, color2 = 0x888888 ) {\n\n\t\tcolor1 = new Color( color1 );\n\t\tcolor2 = new Color( color2 );\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\t// create the sectors\n\n\t\tif ( sectors > 1 ) {\n\n\t\t\tfor ( let i = 0; i < sectors; i ++ ) {\n\n\t\t\t\tconst v = ( i / sectors ) * ( Math.PI * 2 );\n\n\t\t\t\tconst x = Math.sin( v ) * radius;\n\t\t\t\tconst z = Math.cos( v ) * radius;\n\n\t\t\t\tvertices.push( 0, 0, 0 );\n\t\t\t\tvertices.push( x, 0, z );\n\n\t\t\t\tconst color = ( i & 1 ) ? color1 : color2;\n\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\t// create the rings\n\n\t\tfor ( let i = 0; i < rings; i ++ ) {\n\n\t\t\tconst color = ( i & 1 ) ? color1 : color2;\n\n\t\t\tconst r = radius - ( radius / rings * i );\n\n\t\t\tfor ( let j = 0; j < divisions; j ++ ) {\n\n\t\t\t\t// first vertex\n\n\t\t\t\tlet v = ( j / divisions ) * ( Math.PI * 2 );\n\n\t\t\t\tlet x = Math.sin( v ) * r;\n\t\t\t\tlet z = Math.cos( v ) * r;\n\n\t\t\t\tvertices.push( x, 0, z );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t\t// second vertex\n\n\t\t\t\tv = ( ( j + 1 ) / divisions ) * ( Math.PI * 2 );\n\n\t\t\t\tx = Math.sin( v ) * r;\n\t\t\t\tz = Math.cos( v ) * r;\n\n\t\t\t\tvertices.push( x, 0, z );\n\t\t\t\tcolors.push( color.r, color.g, color.b );\n\n\t\t\t}\n\n\t\t}\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'PolarGridHelper';\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nconst _v1 = /*@__PURE__*/ new Vector3();\nconst _v2 = /*@__PURE__*/ new Vector3();\nconst _v3 = /*@__PURE__*/ new Vector3();\n\nclass DirectionalLightHelper extends Object3D {\n\n\tconstructor( light, size, color ) {\n\n\t\tsuper();\n\n\t\tthis.light = light;\n\n\t\tthis.matrix = light.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.color = color;\n\n\t\tthis.type = 'DirectionalLightHelper';\n\n\t\tif ( size === undefined ) size = 1;\n\n\t\tlet geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( [\n\t\t\t- size, size, 0,\n\t\t\tsize, size, 0,\n\t\t\tsize, - size, 0,\n\t\t\t- size, - size, 0,\n\t\t\t- size, size, 0\n\t\t], 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { fog: false, toneMapped: false } );\n\n\t\tthis.lightPlane = new Line( geometry, material );\n\t\tthis.add( this.lightPlane );\n\n\t\tgeometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( [ 0, 0, 0, 0, 0, 1 ], 3 ) );\n\n\t\tthis.targetLine = new Line( geometry, material );\n\t\tthis.add( this.targetLine );\n\n\t\tthis.update();\n\n\t}\n\n\tdispose() {\n\n\t\tthis.lightPlane.geometry.dispose();\n\t\tthis.lightPlane.material.dispose();\n\t\tthis.targetLine.geometry.dispose();\n\t\tthis.targetLine.material.dispose();\n\n\t}\n\n\tupdate() {\n\n\t\tthis.light.updateWorldMatrix( true, false );\n\t\tthis.light.target.updateWorldMatrix( true, false );\n\n\t\t_v1.setFromMatrixPosition( this.light.matrixWorld );\n\t\t_v2.setFromMatrixPosition( this.light.target.matrixWorld );\n\t\t_v3.subVectors( _v2, _v1 );\n\n\t\tthis.lightPlane.lookAt( _v2 );\n\n\t\tif ( this.color !== undefined ) {\n\n\t\t\tthis.lightPlane.material.color.set( this.color );\n\t\t\tthis.targetLine.material.color.set( this.color );\n\n\t\t} else {\n\n\t\t\tthis.lightPlane.material.color.copy( this.light.color );\n\t\t\tthis.targetLine.material.color.copy( this.light.color );\n\n\t\t}\n\n\t\tthis.targetLine.lookAt( _v2 );\n\t\tthis.targetLine.scale.z = _v3.length();\n\n\t}\n\n}\n\nconst _vector = /*@__PURE__*/ new Vector3();\nconst _camera = /*@__PURE__*/ new Camera();\n\n/**\n *\t- shows frustum, line of sight and up of the camera\n *\t- suitable for fast updates\n * \t- based on frustum visualization in lightgl.js shadowmap example\n *\t\thttps://github.com/evanw/lightgl.js/blob/master/tests/shadowmap.html\n */\n\nclass CameraHelper extends LineSegments {\n\n\tconstructor( camera ) {\n\n\t\tconst geometry = new BufferGeometry();\n\t\tconst material = new LineBasicMaterial( { color: 0xffffff, vertexColors: true, toneMapped: false } );\n\n\t\tconst vertices = [];\n\t\tconst colors = [];\n\n\t\tconst pointMap = {};\n\n\t\t// near\n\n\t\taddLine( 'n1', 'n2' );\n\t\taddLine( 'n2', 'n4' );\n\t\taddLine( 'n4', 'n3' );\n\t\taddLine( 'n3', 'n1' );\n\n\t\t// far\n\n\t\taddLine( 'f1', 'f2' );\n\t\taddLine( 'f2', 'f4' );\n\t\taddLine( 'f4', 'f3' );\n\t\taddLine( 'f3', 'f1' );\n\n\t\t// sides\n\n\t\taddLine( 'n1', 'f1' );\n\t\taddLine( 'n2', 'f2' );\n\t\taddLine( 'n3', 'f3' );\n\t\taddLine( 'n4', 'f4' );\n\n\t\t// cone\n\n\t\taddLine( 'p', 'n1' );\n\t\taddLine( 'p', 'n2' );\n\t\taddLine( 'p', 'n3' );\n\t\taddLine( 'p', 'n4' );\n\n\t\t// up\n\n\t\taddLine( 'u1', 'u2' );\n\t\taddLine( 'u2', 'u3' );\n\t\taddLine( 'u3', 'u1' );\n\n\t\t// target\n\n\t\taddLine( 'c', 't' );\n\t\taddLine( 'p', 'c' );\n\n\t\t// cross\n\n\t\taddLine( 'cn1', 'cn2' );\n\t\taddLine( 'cn3', 'cn4' );\n\n\t\taddLine( 'cf1', 'cf2' );\n\t\taddLine( 'cf3', 'cf4' );\n\n\t\tfunction addLine( a, b ) {\n\n\t\t\taddPoint( a );\n\t\t\taddPoint( b );\n\n\t\t}\n\n\t\tfunction addPoint( id ) {\n\n\t\t\tvertices.push( 0, 0, 0 );\n\t\t\tcolors.push( 0, 0, 0 );\n\n\t\t\tif ( pointMap[ id ] === undefined ) {\n\n\t\t\t\tpointMap[ id ] = [];\n\n\t\t\t}\n\n\t\t\tpointMap[ id ].push( ( vertices.length / 3 ) - 1 );\n\n\t\t}\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'CameraHelper';\n\n\t\tthis.camera = camera;\n\t\tif ( this.camera.updateProjectionMatrix ) this.camera.updateProjectionMatrix();\n\n\t\tthis.matrix = camera.matrixWorld;\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.pointMap = pointMap;\n\n\t\tthis.update();\n\n\t\t// colors\n\n\t\tconst colorFrustum = new Color( 0xffaa00 );\n\t\tconst colorCone = new Color( 0xff0000 );\n\t\tconst colorUp = new Color( 0x00aaff );\n\t\tconst colorTarget = new Color( 0xffffff );\n\t\tconst colorCross = new Color( 0x333333 );\n\n\t\tthis.setColors( colorFrustum, colorCone, colorUp, colorTarget, colorCross );\n\n\t}\n\n\tsetColors( frustum, cone, up, target, cross ) {\n\n\t\tconst geometry = this.geometry;\n\n\t\tconst colorAttribute = geometry.getAttribute( 'color' );\n\n\t\t// near\n\n\t\tcolorAttribute.setXYZ( 0, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 1, frustum.r, frustum.g, frustum.b ); // n1, n2\n\t\tcolorAttribute.setXYZ( 2, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 3, frustum.r, frustum.g, frustum.b ); // n2, n4\n\t\tcolorAttribute.setXYZ( 4, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 5, frustum.r, frustum.g, frustum.b ); // n4, n3\n\t\tcolorAttribute.setXYZ( 6, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 7, frustum.r, frustum.g, frustum.b ); // n3, n1\n\n\t\t// far\n\n\t\tcolorAttribute.setXYZ( 8, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 9, frustum.r, frustum.g, frustum.b ); // f1, f2\n\t\tcolorAttribute.setXYZ( 10, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 11, frustum.r, frustum.g, frustum.b ); // f2, f4\n\t\tcolorAttribute.setXYZ( 12, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 13, frustum.r, frustum.g, frustum.b ); // f4, f3\n\t\tcolorAttribute.setXYZ( 14, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 15, frustum.r, frustum.g, frustum.b ); // f3, f1\n\n\t\t// sides\n\n\t\tcolorAttribute.setXYZ( 16, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 17, frustum.r, frustum.g, frustum.b ); // n1, f1\n\t\tcolorAttribute.setXYZ( 18, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 19, frustum.r, frustum.g, frustum.b ); // n2, f2\n\t\tcolorAttribute.setXYZ( 20, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 21, frustum.r, frustum.g, frustum.b ); // n3, f3\n\t\tcolorAttribute.setXYZ( 22, frustum.r, frustum.g, frustum.b ); colorAttribute.setXYZ( 23, frustum.r, frustum.g, frustum.b ); // n4, f4\n\n\t\t// cone\n\n\t\tcolorAttribute.setXYZ( 24, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 25, cone.r, cone.g, cone.b ); // p, n1\n\t\tcolorAttribute.setXYZ( 26, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 27, cone.r, cone.g, cone.b ); // p, n2\n\t\tcolorAttribute.setXYZ( 28, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 29, cone.r, cone.g, cone.b ); // p, n3\n\t\tcolorAttribute.setXYZ( 30, cone.r, cone.g, cone.b ); colorAttribute.setXYZ( 31, cone.r, cone.g, cone.b ); // p, n4\n\n\t\t// up\n\n\t\tcolorAttribute.setXYZ( 32, up.r, up.g, up.b ); colorAttribute.setXYZ( 33, up.r, up.g, up.b ); // u1, u2\n\t\tcolorAttribute.setXYZ( 34, up.r, up.g, up.b ); colorAttribute.setXYZ( 35, up.r, up.g, up.b ); // u2, u3\n\t\tcolorAttribute.setXYZ( 36, up.r, up.g, up.b ); colorAttribute.setXYZ( 37, up.r, up.g, up.b ); // u3, u1\n\n\t\t// target\n\n\t\tcolorAttribute.setXYZ( 38, target.r, target.g, target.b ); colorAttribute.setXYZ( 39, target.r, target.g, target.b ); // c, t\n\t\tcolorAttribute.setXYZ( 40, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 41, cross.r, cross.g, cross.b ); // p, c\n\n\t\t// cross\n\n\t\tcolorAttribute.setXYZ( 42, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 43, cross.r, cross.g, cross.b ); // cn1, cn2\n\t\tcolorAttribute.setXYZ( 44, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 45, cross.r, cross.g, cross.b ); // cn3, cn4\n\n\t\tcolorAttribute.setXYZ( 46, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 47, cross.r, cross.g, cross.b ); // cf1, cf2\n\t\tcolorAttribute.setXYZ( 48, cross.r, cross.g, cross.b ); colorAttribute.setXYZ( 49, cross.r, cross.g, cross.b ); // cf3, cf4\n\n\t\tcolorAttribute.needsUpdate = true;\n\n\t}\n\n\tupdate() {\n\n\t\tconst geometry = this.geometry;\n\t\tconst pointMap = this.pointMap;\n\n\t\tconst w = 1, h = 1;\n\n\t\t// we need just camera projection matrix inverse\n\t\t// world matrix must be identity\n\n\t\t_camera.projectionMatrixInverse.copy( this.camera.projectionMatrixInverse );\n\n\t\t// center / target\n\n\t\tsetPoint( 'c', pointMap, geometry, _camera, 0, 0, - 1 );\n\t\tsetPoint( 't', pointMap, geometry, _camera, 0, 0, 1 );\n\n\t\t// near\n\n\t\tsetPoint( 'n1', pointMap, geometry, _camera, - w, - h, - 1 );\n\t\tsetPoint( 'n2', pointMap, geometry, _camera, w, - h, - 1 );\n\t\tsetPoint( 'n3', pointMap, geometry, _camera, - w, h, - 1 );\n\t\tsetPoint( 'n4', pointMap, geometry, _camera, w, h, - 1 );\n\n\t\t// far\n\n\t\tsetPoint( 'f1', pointMap, geometry, _camera, - w, - h, 1 );\n\t\tsetPoint( 'f2', pointMap, geometry, _camera, w, - h, 1 );\n\t\tsetPoint( 'f3', pointMap, geometry, _camera, - w, h, 1 );\n\t\tsetPoint( 'f4', pointMap, geometry, _camera, w, h, 1 );\n\n\t\t// up\n\n\t\tsetPoint( 'u1', pointMap, geometry, _camera, w * 0.7, h * 1.1, - 1 );\n\t\tsetPoint( 'u2', pointMap, geometry, _camera, - w * 0.7, h * 1.1, - 1 );\n\t\tsetPoint( 'u3', pointMap, geometry, _camera, 0, h * 2, - 1 );\n\n\t\t// cross\n\n\t\tsetPoint( 'cf1', pointMap, geometry, _camera, - w, 0, 1 );\n\t\tsetPoint( 'cf2', pointMap, geometry, _camera, w, 0, 1 );\n\t\tsetPoint( 'cf3', pointMap, geometry, _camera, 0, - h, 1 );\n\t\tsetPoint( 'cf4', pointMap, geometry, _camera, 0, h, 1 );\n\n\t\tsetPoint( 'cn1', pointMap, geometry, _camera, - w, 0, - 1 );\n\t\tsetPoint( 'cn2', pointMap, geometry, _camera, w, 0, - 1 );\n\t\tsetPoint( 'cn3', pointMap, geometry, _camera, 0, - h, - 1 );\n\t\tsetPoint( 'cn4', pointMap, geometry, _camera, 0, h, - 1 );\n\n\t\tgeometry.getAttribute( 'position' ).needsUpdate = true;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\n\nfunction setPoint( point, pointMap, geometry, camera, x, y, z ) {\n\n\t_vector.set( x, y, z ).unproject( camera );\n\n\tconst points = pointMap[ point ];\n\n\tif ( points !== undefined ) {\n\n\t\tconst position = geometry.getAttribute( 'position' );\n\n\t\tfor ( let i = 0, l = points.length; i < l; i ++ ) {\n\n\t\t\tposition.setXYZ( points[ i ], _vector.x, _vector.y, _vector.z );\n\n\t\t}\n\n\t}\n\n}\n\nconst _box = /*@__PURE__*/ new Box3();\n\nclass BoxHelper extends LineSegments {\n\n\tconstructor( object, color = 0xffff00 ) {\n\n\t\tconst indices = new Uint16Array( [ 0, 1, 1, 2, 2, 3, 3, 0, 4, 5, 5, 6, 6, 7, 7, 4, 0, 4, 1, 5, 2, 6, 3, 7 ] );\n\t\tconst positions = new Float32Array( 8 * 3 );\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setIndex( new BufferAttribute( indices, 1 ) );\n\t\tgeometry.setAttribute( 'position', new BufferAttribute( positions, 3 ) );\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.object = object;\n\t\tthis.type = 'BoxHelper';\n\n\t\tthis.matrixAutoUpdate = false;\n\n\t\tthis.update();\n\n\t}\n\n\tupdate( object ) {\n\n\t\tif ( object !== undefined ) {\n\n\t\t\tconsole.warn( 'THREE.BoxHelper: .update() has no longer arguments.' );\n\n\t\t}\n\n\t\tif ( this.object !== undefined ) {\n\n\t\t\t_box.setFromObject( this.object );\n\n\t\t}\n\n\t\tif ( _box.isEmpty() ) return;\n\n\t\tconst min = _box.min;\n\t\tconst max = _box.max;\n\n\t\t/*\n\t\t\t5____4\n\t\t1/___0/|\n\t\t| 6__|_7\n\t\t2/___3/\n\n\t\t0: max.x, max.y, max.z\n\t\t1: min.x, max.y, max.z\n\t\t2: min.x, min.y, max.z\n\t\t3: max.x, min.y, max.z\n\t\t4: max.x, max.y, min.z\n\t\t5: min.x, max.y, min.z\n\t\t6: min.x, min.y, min.z\n\t\t7: max.x, min.y, min.z\n\t\t*/\n\n\t\tconst position = this.geometry.attributes.position;\n\t\tconst array = position.array;\n\n\t\tarray[ 0 ] = max.x; array[ 1 ] = max.y; array[ 2 ] = max.z;\n\t\tarray[ 3 ] = min.x; array[ 4 ] = max.y; array[ 5 ] = max.z;\n\t\tarray[ 6 ] = min.x; array[ 7 ] = min.y; array[ 8 ] = max.z;\n\t\tarray[ 9 ] = max.x; array[ 10 ] = min.y; array[ 11 ] = max.z;\n\t\tarray[ 12 ] = max.x; array[ 13 ] = max.y; array[ 14 ] = min.z;\n\t\tarray[ 15 ] = min.x; array[ 16 ] = max.y; array[ 17 ] = min.z;\n\t\tarray[ 18 ] = min.x; array[ 19 ] = min.y; array[ 20 ] = min.z;\n\t\tarray[ 21 ] = max.x; array[ 22 ] = min.y; array[ 23 ] = min.z;\n\n\t\tposition.needsUpdate = true;\n\n\t\tthis.geometry.computeBoundingSphere();\n\n\t}\n\n\tsetFromObject( object ) {\n\n\t\tthis.object = object;\n\t\tthis.update();\n\n\t\treturn this;\n\n\t}\n\n\tcopy( source, recursive ) {\n\n\t\tsuper.copy( source, recursive );\n\n\t\tthis.object = source.object;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass Box3Helper extends LineSegments {\n\n\tconstructor( box, color = 0xffff00 ) {\n\n\t\tconst indices = new Uint16Array( [ 0, 1, 1, 2, 2, 3, 3, 0, 4, 5, 5, 6, 6, 7, 7, 4, 0, 4, 1, 5, 2, 6, 3, 7 ] );\n\n\t\tconst positions = [ 1, 1, 1, - 1, 1, 1, - 1, - 1, 1, 1, - 1, 1, 1, 1, - 1, - 1, 1, - 1, - 1, - 1, - 1, 1, - 1, - 1 ];\n\n\t\tconst geometry = new BufferGeometry();\n\n\t\tgeometry.setIndex( new BufferAttribute( indices, 1 ) );\n\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.box = box;\n\n\t\tthis.type = 'Box3Helper';\n\n\t\tthis.geometry.computeBoundingSphere();\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tconst box = this.box;\n\n\t\tif ( box.isEmpty() ) return;\n\n\t\tbox.getCenter( this.position );\n\n\t\tbox.getSize( this.scale );\n\n\t\tthis.scale.multiplyScalar( 0.5 );\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass PlaneHelper extends Line {\n\n\tconstructor( plane, size = 1, hex = 0xffff00 ) {\n\n\t\tconst color = hex;\n\n\t\tconst positions = [ 1, - 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, - 1, 0, 1, 1, 0 ];\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( positions, 3 ) );\n\t\tgeometry.computeBoundingSphere();\n\n\t\tsuper( geometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\n\t\tthis.type = 'PlaneHelper';\n\n\t\tthis.plane = plane;\n\n\t\tthis.size = size;\n\n\t\tconst positions2 = [ 1, 1, 0, - 1, 1, 0, - 1, - 1, 0, 1, 1, 0, - 1, - 1, 0, 1, - 1, 0 ];\n\n\t\tconst geometry2 = new BufferGeometry();\n\t\tgeometry2.setAttribute( 'position', new Float32BufferAttribute( positions2, 3 ) );\n\t\tgeometry2.computeBoundingSphere();\n\n\t\tthis.add( new Mesh( geometry2, new MeshBasicMaterial( { color: color, opacity: 0.2, transparent: true, depthWrite: false, toneMapped: false } ) ) );\n\n\t}\n\n\tupdateMatrixWorld( force ) {\n\n\t\tthis.position.set( 0, 0, 0 );\n\n\t\tthis.scale.set( 0.5 * this.size, 0.5 * this.size, 1 );\n\n\t\tthis.lookAt( this.plane.normal );\n\n\t\tthis.translateZ( - this.plane.constant );\n\n\t\tsuper.updateMatrixWorld( force );\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\t\tthis.children[ 0 ].geometry.dispose();\n\t\tthis.children[ 0 ].material.dispose();\n\n\t}\n\n}\n\nconst _axis = /*@__PURE__*/ new Vector3();\nlet _lineGeometry, _coneGeometry;\n\nclass ArrowHelper extends Object3D {\n\n\t// dir is assumed to be normalized\n\n\tconstructor( dir = new Vector3( 0, 0, 1 ), origin = new Vector3( 0, 0, 0 ), length = 1, color = 0xffff00, headLength = length * 0.2, headWidth = headLength * 0.2 ) {\n\n\t\tsuper();\n\n\t\tthis.type = 'ArrowHelper';\n\n\t\tif ( _lineGeometry === undefined ) {\n\n\t\t\t_lineGeometry = new BufferGeometry();\n\t\t\t_lineGeometry.setAttribute( 'position', new Float32BufferAttribute( [ 0, 0, 0, 0, 1, 0 ], 3 ) );\n\n\t\t\t_coneGeometry = new CylinderGeometry( 0, 0.5, 1, 5, 1 );\n\t\t\t_coneGeometry.translate( 0, - 0.5, 0 );\n\n\t\t}\n\n\t\tthis.position.copy( origin );\n\n\t\tthis.line = new Line( _lineGeometry, new LineBasicMaterial( { color: color, toneMapped: false } ) );\n\t\tthis.line.matrixAutoUpdate = false;\n\t\tthis.add( this.line );\n\n\t\tthis.cone = new Mesh( _coneGeometry, new MeshBasicMaterial( { color: color, toneMapped: false } ) );\n\t\tthis.cone.matrixAutoUpdate = false;\n\t\tthis.add( this.cone );\n\n\t\tthis.setDirection( dir );\n\t\tthis.setLength( length, headLength, headWidth );\n\n\t}\n\n\tsetDirection( dir ) {\n\n\t\t// dir is assumed to be normalized\n\n\t\tif ( dir.y > 0.99999 ) {\n\n\t\t\tthis.quaternion.set( 0, 0, 0, 1 );\n\n\t\t} else if ( dir.y < - 0.99999 ) {\n\n\t\t\tthis.quaternion.set( 1, 0, 0, 0 );\n\n\t\t} else {\n\n\t\t\t_axis.set( dir.z, 0, - dir.x ).normalize();\n\n\t\t\tconst radians = Math.acos( dir.y );\n\n\t\t\tthis.quaternion.setFromAxisAngle( _axis, radians );\n\n\t\t}\n\n\t}\n\n\tsetLength( length, headLength = length * 0.2, headWidth = headLength * 0.2 ) {\n\n\t\tthis.line.scale.set( 1, Math.max( 0.0001, length - headLength ), 1 ); // see #17458\n\t\tthis.line.updateMatrix();\n\n\t\tthis.cone.scale.set( headWidth, headLength, headWidth );\n\t\tthis.cone.position.y = length;\n\t\tthis.cone.updateMatrix();\n\n\t}\n\n\tsetColor( color ) {\n\n\t\tthis.line.material.color.set( color );\n\t\tthis.cone.material.color.set( color );\n\n\t}\n\n\tcopy( source ) {\n\n\t\tsuper.copy( source, false );\n\n\t\tthis.line.copy( source.line );\n\t\tthis.cone.copy( source.cone );\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.line.geometry.dispose();\n\t\tthis.line.material.dispose();\n\t\tthis.cone.geometry.dispose();\n\t\tthis.cone.material.dispose();\n\n\t}\n\n}\n\nclass AxesHelper extends LineSegments {\n\n\tconstructor( size = 1 ) {\n\n\t\tconst vertices = [\n\t\t\t0, 0, 0,\tsize, 0, 0,\n\t\t\t0, 0, 0,\t0, size, 0,\n\t\t\t0, 0, 0,\t0, 0, size\n\t\t];\n\n\t\tconst colors = [\n\t\t\t1, 0, 0,\t1, 0.6, 0,\n\t\t\t0, 1, 0,\t0.6, 1, 0,\n\t\t\t0, 0, 1,\t0, 0.6, 1\n\t\t];\n\n\t\tconst geometry = new BufferGeometry();\n\t\tgeometry.setAttribute( 'position', new Float32BufferAttribute( vertices, 3 ) );\n\t\tgeometry.setAttribute( 'color', new Float32BufferAttribute( colors, 3 ) );\n\n\t\tconst material = new LineBasicMaterial( { vertexColors: true, toneMapped: false } );\n\n\t\tsuper( geometry, material );\n\n\t\tthis.type = 'AxesHelper';\n\n\t}\n\n\tsetColors( xAxisColor, yAxisColor, zAxisColor ) {\n\n\t\tconst color = new Color();\n\t\tconst array = this.geometry.attributes.color.array;\n\n\t\tcolor.set( xAxisColor );\n\t\tcolor.toArray( array, 0 );\n\t\tcolor.toArray( array, 3 );\n\n\t\tcolor.set( yAxisColor );\n\t\tcolor.toArray( array, 6 );\n\t\tcolor.toArray( array, 9 );\n\n\t\tcolor.set( zAxisColor );\n\t\tcolor.toArray( array, 12 );\n\t\tcolor.toArray( array, 15 );\n\n\t\tthis.geometry.attributes.color.needsUpdate = true;\n\n\t\treturn this;\n\n\t}\n\n\tdispose() {\n\n\t\tthis.geometry.dispose();\n\t\tthis.material.dispose();\n\n\t}\n\n}\n\nclass ShapePath {\n\n\tconstructor() {\n\n\t\tthis.type = 'ShapePath';\n\n\t\tthis.color = new Color();\n\n\t\tthis.subPaths = [];\n\t\tthis.currentPath = null;\n\n\t}\n\n\tmoveTo( x, y ) {\n\n\t\tthis.currentPath = new Path();\n\t\tthis.subPaths.push( this.currentPath );\n\t\tthis.currentPath.moveTo( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tlineTo( x, y ) {\n\n\t\tthis.currentPath.lineTo( x, y );\n\n\t\treturn this;\n\n\t}\n\n\tquadraticCurveTo( aCPx, aCPy, aX, aY ) {\n\n\t\tthis.currentPath.quadraticCurveTo( aCPx, aCPy, aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tbezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY ) {\n\n\t\tthis.currentPath.bezierCurveTo( aCP1x, aCP1y, aCP2x, aCP2y, aX, aY );\n\n\t\treturn this;\n\n\t}\n\n\tsplineThru( pts ) {\n\n\t\tthis.currentPath.splineThru( pts );\n\n\t\treturn this;\n\n\t}\n\n\ttoShapes( isCCW ) {\n\n\t\tfunction toShapesNoHoles( inSubpaths ) {\n\n\t\t\tconst shapes = [];\n\n\t\t\tfor ( let i = 0, l = inSubpaths.length; i < l; i ++ ) {\n\n\t\t\t\tconst tmpPath = inSubpaths[ i ];\n\n\t\t\t\tconst tmpShape = new Shape();\n\t\t\t\ttmpShape.curves = tmpPath.curves;\n\n\t\t\t\tshapes.push( tmpShape );\n\n\t\t\t}\n\n\t\t\treturn shapes;\n\n\t\t}\n\n\t\tfunction isPointInsidePolygon( inPt, inPolygon ) {\n\n\t\t\tconst polyLen = inPolygon.length;\n\n\t\t\t// inPt on polygon contour => immediate success or\n\t\t\t// toggling of inside/outside at every single! intersection point of an edge\n\t\t\t// with the horizontal line through inPt, left of inPt\n\t\t\t// not counting lowerY endpoints of edges and whole edges on that line\n\t\t\tlet inside = false;\n\t\t\tfor ( let p = polyLen - 1, q = 0; q < polyLen; p = q ++ ) {\n\n\t\t\t\tlet edgeLowPt = inPolygon[ p ];\n\t\t\t\tlet edgeHighPt = inPolygon[ q ];\n\n\t\t\t\tlet edgeDx = edgeHighPt.x - edgeLowPt.x;\n\t\t\t\tlet edgeDy = edgeHighPt.y - edgeLowPt.y;\n\n\t\t\t\tif ( Math.abs( edgeDy ) > Number.EPSILON ) {\n\n\t\t\t\t\t// not parallel\n\t\t\t\t\tif ( edgeDy < 0 ) {\n\n\t\t\t\t\t\tedgeLowPt = inPolygon[ q ]; edgeDx = - edgeDx;\n\t\t\t\t\t\tedgeHighPt = inPolygon[ p ]; edgeDy = - edgeDy;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( ( inPt.y < edgeLowPt.y ) || ( inPt.y > edgeHighPt.y ) ) \t\tcontinue;\n\n\t\t\t\t\tif ( inPt.y === edgeLowPt.y ) {\n\n\t\t\t\t\t\tif ( inPt.x === edgeLowPt.x )\t\treturn\ttrue;\t\t// inPt is on contour ?\n\t\t\t\t\t\t// continue;\t\t\t\t// no intersection or edgeLowPt => doesn't count !!!\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconst perpEdge = edgeDy * ( inPt.x - edgeLowPt.x ) - edgeDx * ( inPt.y - edgeLowPt.y );\n\t\t\t\t\t\tif ( perpEdge === 0 )\t\t\t\treturn\ttrue;\t\t// inPt is on contour ?\n\t\t\t\t\t\tif ( perpEdge < 0 ) \t\t\t\tcontinue;\n\t\t\t\t\t\tinside = ! inside;\t\t// true intersection left of inPt\n\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// parallel or collinear\n\t\t\t\t\tif ( inPt.y !== edgeLowPt.y ) \t\tcontinue;\t\t\t// parallel\n\t\t\t\t\t// edge lies on the same horizontal line as inPt\n\t\t\t\t\tif ( ( ( edgeHighPt.x <= inPt.x ) && ( inPt.x <= edgeLowPt.x ) ) ||\n\t\t\t\t\t\t ( ( edgeLowPt.x <= inPt.x ) && ( inPt.x <= edgeHighPt.x ) ) )\t\treturn\ttrue;\t// inPt: Point on contour !\n\t\t\t\t\t// continue;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\treturn\tinside;\n\n\t\t}\n\n\t\tconst isClockWise = ShapeUtils.isClockWise;\n\n\t\tconst subPaths = this.subPaths;\n\t\tif ( subPaths.length === 0 ) return [];\n\n\t\tlet solid, tmpPath, tmpShape;\n\t\tconst shapes = [];\n\n\t\tif ( subPaths.length === 1 ) {\n\n\t\t\ttmpPath = subPaths[ 0 ];\n\t\t\ttmpShape = new Shape();\n\t\t\ttmpShape.curves = tmpPath.curves;\n\t\t\tshapes.push( tmpShape );\n\t\t\treturn shapes;\n\n\t\t}\n\n\t\tlet holesFirst = ! isClockWise( subPaths[ 0 ].getPoints() );\n\t\tholesFirst = isCCW ? ! holesFirst : holesFirst;\n\n\t\t// console.log(\"Holes first\", holesFirst);\n\n\t\tconst betterShapeHoles = [];\n\t\tconst newShapes = [];\n\t\tlet newShapeHoles = [];\n\t\tlet mainIdx = 0;\n\t\tlet tmpPoints;\n\n\t\tnewShapes[ mainIdx ] = undefined;\n\t\tnewShapeHoles[ mainIdx ] = [];\n\n\t\tfor ( let i = 0, l = subPaths.length; i < l; i ++ ) {\n\n\t\t\ttmpPath = subPaths[ i ];\n\t\t\ttmpPoints = tmpPath.getPoints();\n\t\t\tsolid = isClockWise( tmpPoints );\n\t\t\tsolid = isCCW ? ! solid : solid;\n\n\t\t\tif ( solid ) {\n\n\t\t\t\tif ( ( ! holesFirst ) && ( newShapes[ mainIdx ] ) )\tmainIdx ++;\n\n\t\t\t\tnewShapes[ mainIdx ] = { s: new Shape(), p: tmpPoints };\n\t\t\t\tnewShapes[ mainIdx ].s.curves = tmpPath.curves;\n\n\t\t\t\tif ( holesFirst )\tmainIdx ++;\n\t\t\t\tnewShapeHoles[ mainIdx ] = [];\n\n\t\t\t\t//console.log('cw', i);\n\n\t\t\t} else {\n\n\t\t\t\tnewShapeHoles[ mainIdx ].push( { h: tmpPath, p: tmpPoints[ 0 ] } );\n\n\t\t\t\t//console.log('ccw', i);\n\n\t\t\t}\n\n\t\t}\n\n\t\t// only Holes? -> probably all Shapes with wrong orientation\n\t\tif ( ! newShapes[ 0 ] )\treturn\ttoShapesNoHoles( subPaths );\n\n\n\t\tif ( newShapes.length > 1 ) {\n\n\t\t\tlet ambiguous = false;\n\t\t\tlet toChange = 0;\n\n\t\t\tfor ( let sIdx = 0, sLen = newShapes.length; sIdx < sLen; sIdx ++ ) {\n\n\t\t\t\tbetterShapeHoles[ sIdx ] = [];\n\n\t\t\t}\n\n\t\t\tfor ( let sIdx = 0, sLen = newShapes.length; sIdx < sLen; sIdx ++ ) {\n\n\t\t\t\tconst sho = newShapeHoles[ sIdx ];\n\n\t\t\t\tfor ( let hIdx = 0; hIdx < sho.length; hIdx ++ ) {\n\n\t\t\t\t\tconst ho = sho[ hIdx ];\n\t\t\t\t\tlet hole_unassigned = true;\n\n\t\t\t\t\tfor ( let s2Idx = 0; s2Idx < newShapes.length; s2Idx ++ ) {\n\n\t\t\t\t\t\tif ( isPointInsidePolygon( ho.p, newShapes[ s2Idx ].p ) ) {\n\n\t\t\t\t\t\t\tif ( sIdx !== s2Idx )\ttoChange ++;\n\n\t\t\t\t\t\t\tif ( hole_unassigned ) {\n\n\t\t\t\t\t\t\t\thole_unassigned = false;\n\t\t\t\t\t\t\t\tbetterShapeHoles[ s2Idx ].push( ho );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\tambiguous = true;\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tif ( hole_unassigned ) {\n\n\t\t\t\t\t\tbetterShapeHoles[ sIdx ].push( ho );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\tif ( toChange > 0 && ambiguous === false ) {\n\n\t\t\t\tnewShapeHoles = betterShapeHoles;\n\n\t\t\t}\n\n\t\t}\n\n\t\tlet tmpHoles;\n\n\t\tfor ( let i = 0, il = newShapes.length; i < il; i ++ ) {\n\n\t\t\ttmpShape = newShapes[ i ].s;\n\t\t\tshapes.push( tmpShape );\n\t\t\ttmpHoles = newShapeHoles[ i ];\n\n\t\t\tfor ( let j = 0, jl = tmpHoles.length; j < jl; j ++ ) {\n\n\t\t\t\ttmpShape.holes.push( tmpHoles[ j ].h );\n\n\t\t\t}\n\n\t\t}\n\n\t\t//console.log(\"shape\", shapes);\n\n\t\treturn shapes;\n\n\t}\n\n}\n\nif ( typeof __THREE_DEVTOOLS__ !== 'undefined' ) {\n\n\t__THREE_DEVTOOLS__.dispatchEvent( new CustomEvent( 'register', { detail: {\n\t\trevision: REVISION,\n\t} } ) );\n\n}\n\nif ( typeof window !== 'undefined' ) {\n\n\tif ( window.__THREE__ ) {\n\n\t\tconsole.warn( 'WARNING: Multiple instances of Three.js being imported.' );\n\n\t} else {\n\n\t\twindow.__THREE__ = REVISION;\n\n\t}\n\n}\n\nexport { ACESFilmicToneMapping, AddEquation, AddOperation, AdditiveAnimationBlendMode, AdditiveBlending, AgXToneMapping, AlphaFormat, AlwaysCompare, AlwaysDepth, AlwaysStencilFunc, AmbientLight, AnimationAction, AnimationClip, AnimationLoader, AnimationMixer, AnimationObjectGroup, AnimationUtils, ArcCurve, ArrayCamera, ArrowHelper, AttachedBindMode, Audio, AudioAnalyser, AudioContext, AudioListener, AudioLoader, AxesHelper, BackSide, BasicDepthPacking, BasicShadowMap, BatchedMesh, Bone, BooleanKeyframeTrack, Box2, Box3, Box3Helper, BoxGeometry, BoxHelper, BufferAttribute, BufferGeometry, BufferGeometryLoader, ByteType, Cache, Camera, CameraHelper, CanvasTexture, CapsuleGeometry, CatmullRomCurve3, CineonToneMapping, CircleGeometry, ClampToEdgeWrapping, Clock, Color, ColorKeyframeTrack, ColorManagement, CompressedArrayTexture, CompressedCubeTexture, CompressedTexture, CompressedTextureLoader, ConeGeometry, ConstantAlphaFactor, ConstantColorFactor, CubeCamera, CubeReflectionMapping, CubeRefractionMapping, CubeTexture, CubeTextureLoader, CubeUVReflectionMapping, CubicBezierCurve, CubicBezierCurve3, CubicInterpolant, CullFaceBack, CullFaceFront, CullFaceFrontBack, CullFaceNone, Curve, CurvePath, CustomBlending, CustomToneMapping, CylinderGeometry, Cylindrical, Data3DTexture, DataArrayTexture, DataTexture, DataTextureLoader, DataUtils, DecrementStencilOp, DecrementWrapStencilOp, DefaultLoadingManager, DepthFormat, DepthStencilFormat, DepthTexture, DetachedBindMode, DirectionalLight, DirectionalLightHelper, DiscreteInterpolant, DisplayP3ColorSpace, DodecahedronGeometry, DoubleSide, DstAlphaFactor, DstColorFactor, DynamicCopyUsage, DynamicDrawUsage, DynamicReadUsage, EdgesGeometry, EllipseCurve, EqualCompare, EqualDepth, EqualStencilFunc, EquirectangularReflectionMapping, EquirectangularRefractionMapping, Euler, EventDispatcher, ExtrudeGeometry, FileLoader, Float16BufferAttribute, Float32BufferAttribute, Float64BufferAttribute, FloatType, Fog, FogExp2, FramebufferTexture, FrontSide, Frustum, GLBufferAttribute, GLSL1, GLSL3, GreaterCompare, GreaterDepth, GreaterEqualCompare, GreaterEqualDepth, GreaterEqualStencilFunc, GreaterStencilFunc, GridHelper, Group, HalfFloatType, HemisphereLight, HemisphereLightHelper, IcosahedronGeometry, ImageBitmapLoader, ImageLoader, ImageUtils, IncrementStencilOp, IncrementWrapStencilOp, InstancedBufferAttribute, InstancedBufferGeometry, InstancedInterleavedBuffer, InstancedMesh, Int16BufferAttribute, Int32BufferAttribute, Int8BufferAttribute, IntType, InterleavedBuffer, InterleavedBufferAttribute, Interpolant, InterpolateDiscrete, InterpolateLinear, InterpolateSmooth, InvertStencilOp, KeepStencilOp, KeyframeTrack, LOD, LatheGeometry, Layers, LessCompare, LessDepth, LessEqualCompare, LessEqualDepth, LessEqualStencilFunc, LessStencilFunc, Light, LightProbe, Line, Line3, LineBasicMaterial, LineCurve, LineCurve3, LineDashedMaterial, LineLoop, LineSegments, LinearDisplayP3ColorSpace, LinearEncoding, LinearFilter, LinearInterpolant, LinearMipMapLinearFilter, LinearMipMapNearestFilter, LinearMipmapLinearFilter, LinearMipmapNearestFilter, LinearSRGBColorSpace, LinearToneMapping, LinearTransfer, Loader, LoaderUtils, LoadingManager, LoopOnce, LoopPingPong, LoopRepeat, LuminanceAlphaFormat, LuminanceFormat, MOUSE, Material, MaterialLoader, MathUtils, Matrix3, Matrix4, MaxEquation, Mesh, MeshBasicMaterial, MeshDepthMaterial, MeshDistanceMaterial, MeshLambertMaterial, MeshMatcapMaterial, MeshNormalMaterial, MeshPhongMaterial, MeshPhysicalMaterial, MeshStandardMaterial, MeshToonMaterial, MinEquation, MirroredRepeatWrapping, MixOperation, MultiplyBlending, MultiplyOperation, NearestFilter, NearestMipMapLinearFilter, NearestMipMapNearestFilter, NearestMipmapLinearFilter, NearestMipmapNearestFilter, NeverCompare, NeverDepth, NeverStencilFunc, NoBlending, NoColorSpace, NoToneMapping, NormalAnimationBlendMode, NormalBlending, NotEqualCompare, NotEqualDepth, NotEqualStencilFunc, NumberKeyframeTrack, Object3D, ObjectLoader, ObjectSpaceNormalMap, OctahedronGeometry, OneFactor, OneMinusConstantAlphaFactor, OneMinusConstantColorFactor, OneMinusDstAlphaFactor, OneMinusDstColorFactor, OneMinusSrcAlphaFactor, OneMinusSrcColorFactor, OrthographicCamera, P3Primaries, PCFShadowMap, PCFSoftShadowMap, PMREMGenerator, Path, PerspectiveCamera, Plane, PlaneGeometry, PlaneHelper, PointLight, PointLightHelper, Points, PointsMaterial, PolarGridHelper, PolyhedronGeometry, PositionalAudio, PropertyBinding, PropertyMixer, QuadraticBezierCurve, QuadraticBezierCurve3, Quaternion, QuaternionKeyframeTrack, QuaternionLinearInterpolant, RED_GREEN_RGTC2_Format, RED_RGTC1_Format, REVISION, RGBADepthPacking, RGBAFormat, RGBAIntegerFormat, RGBA_ASTC_10x10_Format, RGBA_ASTC_10x5_Format, RGBA_ASTC_10x6_Format, RGBA_ASTC_10x8_Format, RGBA_ASTC_12x10_Format, RGBA_ASTC_12x12_Format, RGBA_ASTC_4x4_Format, RGBA_ASTC_5x4_Format, RGBA_ASTC_5x5_Format, RGBA_ASTC_6x5_Format, RGBA_ASTC_6x6_Format, RGBA_ASTC_8x5_Format, RGBA_ASTC_8x6_Format, RGBA_ASTC_8x8_Format, RGBA_BPTC_Format, RGBA_ETC2_EAC_Format, RGBA_PVRTC_2BPPV1_Format, RGBA_PVRTC_4BPPV1_Format, RGBA_S3TC_DXT1_Format, RGBA_S3TC_DXT3_Format, RGBA_S3TC_DXT5_Format, RGB_BPTC_SIGNED_Format, RGB_BPTC_UNSIGNED_Format, RGB_ETC1_Format, RGB_ETC2_Format, RGB_PVRTC_2BPPV1_Format, RGB_PVRTC_4BPPV1_Format, RGB_S3TC_DXT1_Format, RGFormat, RGIntegerFormat, RawShaderMaterial, Ray, Raycaster, Rec709Primaries, RectAreaLight, RedFormat, RedIntegerFormat, ReinhardToneMapping, RenderTarget, RepeatWrapping, ReplaceStencilOp, ReverseSubtractEquation, RingGeometry, SIGNED_RED_GREEN_RGTC2_Format, SIGNED_RED_RGTC1_Format, SRGBColorSpace, SRGBTransfer, Scene, ShaderChunk, ShaderLib, ShaderMaterial, ShadowMaterial, Shape, ShapeGeometry, ShapePath, ShapeUtils, ShortType, Skeleton, SkeletonHelper, SkinnedMesh, Source, Sphere, SphereGeometry, Spherical, SphericalHarmonics3, SplineCurve, SpotLight, SpotLightHelper, Sprite, SpriteMaterial, SrcAlphaFactor, SrcAlphaSaturateFactor, SrcColorFactor, StaticCopyUsage, StaticDrawUsage, StaticReadUsage, StereoCamera, StreamCopyUsage, StreamDrawUsage, StreamReadUsage, StringKeyframeTrack, SubtractEquation, SubtractiveBlending, TOUCH, TangentSpaceNormalMap, TetrahedronGeometry, Texture, TextureLoader, TorusGeometry, TorusKnotGeometry, Triangle, TriangleFanDrawMode, TriangleStripDrawMode, TrianglesDrawMode, TubeGeometry, TwoPassDoubleSide, UVMapping, Uint16BufferAttribute, Uint32BufferAttribute, Uint8BufferAttribute, Uint8ClampedBufferAttribute, Uniform, UniformsGroup, UniformsLib, UniformsUtils, UnsignedByteType, UnsignedInt248Type, UnsignedIntType, UnsignedShort4444Type, UnsignedShort5551Type, UnsignedShortType, VSMShadowMap, Vector2, Vector3, Vector4, VectorKeyframeTrack, VideoTexture, WebGL1Renderer, WebGL3DRenderTarget, WebGLArrayRenderTarget, WebGLCoordinateSystem, WebGLCubeRenderTarget, WebGLMultipleRenderTargets, WebGLRenderTarget, WebGLRenderer, WebGLUtils, WebGPUCoordinateSystem, WireframeGeometry, WrapAroundEnding, ZeroCurvatureEnding, ZeroFactor, ZeroSlopeEnding, ZeroStencilOp, _SRGBAFormat, createCanvasElement, sRGBEncoding };\n","import {\n\tEventDispatcher,\n\tMOUSE,\n\tQuaternion,\n\tSpherical,\n\tTOUCH,\n\tVector2,\n\tVector3,\n\tPlane,\n\tRay,\n\tMathUtils\n} from 'three';\n\n// OrbitControls performs orbiting, dollying (zooming), and panning.\n// Unlike TrackballControls, it maintains the \"up\" direction object.up (+Y by default).\n//\n// Orbit - left mouse / touch: one-finger move\n// Zoom - middle mouse, or mousewheel / touch: two-finger spread or squish\n// Pan - right mouse, or left mouse + ctrl/meta/shiftKey, or arrow keys / touch: two-finger move\n\nconst _changeEvent = { type: 'change' };\nconst _startEvent = { type: 'start' };\nconst _endEvent = { type: 'end' };\nconst _ray = new Ray();\nconst _plane = new Plane();\nconst TILT_LIMIT = Math.cos( 70 * MathUtils.DEG2RAD );\n\nclass OrbitControls extends EventDispatcher {\n\n\tconstructor( object, domElement ) {\n\n\t\tsuper();\n\n\t\tthis.object = object;\n\t\tthis.domElement = domElement;\n\t\tthis.domElement.style.touchAction = 'none'; // disable touch scroll\n\n\t\t// Set to false to disable this control\n\t\tthis.enabled = true;\n\n\t\t// \"target\" sets the location of focus, where the object orbits around\n\t\tthis.target = new Vector3();\n\n\t\t// Sets the 3D cursor (similar to Blender), from which the maxTargetRadius takes effect\n\t\tthis.cursor = new Vector3();\n\n\t\t// How far you can dolly in and out ( PerspectiveCamera only )\n\t\tthis.minDistance = 0;\n\t\tthis.maxDistance = Infinity;\n\n\t\t// How far you can zoom in and out ( OrthographicCamera only )\n\t\tthis.minZoom = 0;\n\t\tthis.maxZoom = Infinity;\n\n\t\t// Limit camera target within a spherical area around the cursor\n\t\tthis.minTargetRadius = 0;\n\t\tthis.maxTargetRadius = Infinity;\n\n\t\t// How far you can orbit vertically, upper and lower limits.\n\t\t// Range is 0 to Math.PI radians.\n\t\tthis.minPolarAngle = 0; // radians\n\t\tthis.maxPolarAngle = Math.PI; // radians\n\n\t\t// How far you can orbit horizontally, upper and lower limits.\n\t\t// If set, the interval [ min, max ] must be a sub-interval of [ - 2 PI, 2 PI ], with ( max - min < 2 PI )\n\t\tthis.minAzimuthAngle = - Infinity; // radians\n\t\tthis.maxAzimuthAngle = Infinity; // radians\n\n\t\t// Set to true to enable damping (inertia)\n\t\t// If damping is enabled, you must call controls.update() in your animation loop\n\t\tthis.enableDamping = false;\n\t\tthis.dampingFactor = 0.05;\n\n\t\t// This option actually enables dollying in and out; left as \"zoom\" for backwards compatibility.\n\t\t// Set to false to disable zooming\n\t\tthis.enableZoom = true;\n\t\tthis.zoomSpeed = 1.0;\n\n\t\t// Set to false to disable rotating\n\t\tthis.enableRotate = true;\n\t\tthis.rotateSpeed = 1.0;\n\n\t\t// Set to false to disable panning\n\t\tthis.enablePan = true;\n\t\tthis.panSpeed = 1.0;\n\t\tthis.screenSpacePanning = true; // if false, pan orthogonal to world-space direction camera.up\n\t\tthis.keyPanSpeed = 7.0;\t// pixels moved per arrow key push\n\t\tthis.zoomToCursor = false;\n\n\t\t// Set to true to automatically rotate around the target\n\t\t// If auto-rotate is enabled, you must call controls.update() in your animation loop\n\t\tthis.autoRotate = false;\n\t\tthis.autoRotateSpeed = 2.0; // 30 seconds per orbit when fps is 60\n\n\t\t// The four arrow keys\n\t\tthis.keys = { LEFT: 'ArrowLeft', UP: 'ArrowUp', RIGHT: 'ArrowRight', BOTTOM: 'ArrowDown' };\n\n\t\t// Mouse buttons\n\t\tthis.mouseButtons = { LEFT: MOUSE.ROTATE, MIDDLE: MOUSE.DOLLY, RIGHT: MOUSE.PAN };\n\n\t\t// Touch fingers\n\t\tthis.touches = { ONE: TOUCH.ROTATE, TWO: TOUCH.DOLLY_PAN };\n\n\t\t// for reset\n\t\tthis.target0 = this.target.clone();\n\t\tthis.position0 = this.object.position.clone();\n\t\tthis.zoom0 = this.object.zoom;\n\n\t\t// the target DOM element for key events\n\t\tthis._domElementKeyEvents = null;\n\n\t\t//\n\t\t// public methods\n\t\t//\n\n\t\tthis.getPolarAngle = function () {\n\n\t\t\treturn spherical.phi;\n\n\t\t};\n\n\t\tthis.getAzimuthalAngle = function () {\n\n\t\t\treturn spherical.theta;\n\n\t\t};\n\n\t\tthis.getDistance = function () {\n\n\t\t\treturn this.object.position.distanceTo( this.target );\n\n\t\t};\n\n\t\tthis.listenToKeyEvents = function ( domElement ) {\n\n\t\t\tdomElement.addEventListener( 'keydown', onKeyDown );\n\t\t\tthis._domElementKeyEvents = domElement;\n\n\t\t};\n\n\t\tthis.stopListenToKeyEvents = function () {\n\n\t\t\tthis._domElementKeyEvents.removeEventListener( 'keydown', onKeyDown );\n\t\t\tthis._domElementKeyEvents = null;\n\n\t\t};\n\n\t\tthis.saveState = function () {\n\n\t\t\tscope.target0.copy( scope.target );\n\t\t\tscope.position0.copy( scope.object.position );\n\t\t\tscope.zoom0 = scope.object.zoom;\n\n\t\t};\n\n\t\tthis.reset = function () {\n\n\t\t\tscope.target.copy( scope.target0 );\n\t\t\tscope.object.position.copy( scope.position0 );\n\t\t\tscope.object.zoom = scope.zoom0;\n\n\t\t\tscope.object.updateProjectionMatrix();\n\t\t\tscope.dispatchEvent( _changeEvent );\n\n\t\t\tscope.update();\n\n\t\t\tstate = STATE.NONE;\n\n\t\t};\n\n\t\t// this method is exposed, but perhaps it would be better if we can make it private...\n\t\tthis.update = function () {\n\n\t\t\tconst offset = new Vector3();\n\n\t\t\t// so camera.up is the orbit axis\n\t\t\tconst quat = new Quaternion().setFromUnitVectors( object.up, new Vector3( 0, 1, 0 ) );\n\t\t\tconst quatInverse = quat.clone().invert();\n\n\t\t\tconst lastPosition = new Vector3();\n\t\t\tconst lastQuaternion = new Quaternion();\n\t\t\tconst lastTargetPosition = new Vector3();\n\n\t\t\tconst twoPI = 2 * Math.PI;\n\n\t\t\treturn function update( deltaTime = null ) {\n\n\t\t\t\tconst position = scope.object.position;\n\n\t\t\t\toffset.copy( position ).sub( scope.target );\n\n\t\t\t\t// rotate offset to \"y-axis-is-up\" space\n\t\t\t\toffset.applyQuaternion( quat );\n\n\t\t\t\t// angle from z-axis around y-axis\n\t\t\t\tspherical.setFromVector3( offset );\n\n\t\t\t\tif ( scope.autoRotate && state === STATE.NONE ) {\n\n\t\t\t\t\trotateLeft( getAutoRotationAngle( deltaTime ) );\n\n\t\t\t\t}\n\n\t\t\t\tif ( scope.enableDamping ) {\n\n\t\t\t\t\tspherical.theta += sphericalDelta.theta * scope.dampingFactor;\n\t\t\t\t\tspherical.phi += sphericalDelta.phi * scope.dampingFactor;\n\n\t\t\t\t} else {\n\n\t\t\t\t\tspherical.theta += sphericalDelta.theta;\n\t\t\t\t\tspherical.phi += sphericalDelta.phi;\n\n\t\t\t\t}\n\n\t\t\t\t// restrict theta to be between desired limits\n\n\t\t\t\tlet min = scope.minAzimuthAngle;\n\t\t\t\tlet max = scope.maxAzimuthAngle;\n\n\t\t\t\tif ( isFinite( min ) && isFinite( max ) ) {\n\n\t\t\t\t\tif ( min < - Math.PI ) min += twoPI; else if ( min > Math.PI ) min -= twoPI;\n\n\t\t\t\t\tif ( max < - Math.PI ) max += twoPI; else if ( max > Math.PI ) max -= twoPI;\n\n\t\t\t\t\tif ( min <= max ) {\n\n\t\t\t\t\t\tspherical.theta = Math.max( min, Math.min( max, spherical.theta ) );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tspherical.theta = ( spherical.theta > ( min + max ) / 2 ) ?\n\t\t\t\t\t\t\tMath.max( min, spherical.theta ) :\n\t\t\t\t\t\t\tMath.min( max, spherical.theta );\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// restrict phi to be between desired limits\n\t\t\t\tspherical.phi = Math.max( scope.minPolarAngle, Math.min( scope.maxPolarAngle, spherical.phi ) );\n\n\t\t\t\tspherical.makeSafe();\n\n\n\t\t\t\t// move target to panned location\n\n\t\t\t\tif ( scope.enableDamping === true ) {\n\n\t\t\t\t\tscope.target.addScaledVector( panOffset, scope.dampingFactor );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tscope.target.add( panOffset );\n\n\t\t\t\t}\n\n\t\t\t\t// Limit the target distance from the cursor to create a sphere around the center of interest\n\t\t\t\tscope.target.sub( scope.cursor );\n\t\t\t\tscope.target.clampLength( scope.minTargetRadius, scope.maxTargetRadius );\n\t\t\t\tscope.target.add( scope.cursor );\n\n\t\t\t\t// adjust the camera position based on zoom only if we're not zooming to the cursor or if it's an ortho camera\n\t\t\t\t// we adjust zoom later in these cases\n\t\t\t\tif ( scope.zoomToCursor && performCursorZoom || scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\tspherical.radius = clampDistance( spherical.radius );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tspherical.radius = clampDistance( spherical.radius * scale );\n\n\t\t\t\t}\n\n\t\t\t\toffset.setFromSpherical( spherical );\n\n\t\t\t\t// rotate offset back to \"camera-up-vector-is-up\" space\n\t\t\t\toffset.applyQuaternion( quatInverse );\n\n\t\t\t\tposition.copy( scope.target ).add( offset );\n\n\t\t\t\tscope.object.lookAt( scope.target );\n\n\t\t\t\tif ( scope.enableDamping === true ) {\n\n\t\t\t\t\tsphericalDelta.theta *= ( 1 - scope.dampingFactor );\n\t\t\t\t\tsphericalDelta.phi *= ( 1 - scope.dampingFactor );\n\n\t\t\t\t\tpanOffset.multiplyScalar( 1 - scope.dampingFactor );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tsphericalDelta.set( 0, 0, 0 );\n\n\t\t\t\t\tpanOffset.set( 0, 0, 0 );\n\n\t\t\t\t}\n\n\t\t\t\t// adjust camera position\n\t\t\t\tlet zoomChanged = false;\n\t\t\t\tif ( scope.zoomToCursor && performCursorZoom ) {\n\n\t\t\t\t\tlet newRadius = null;\n\t\t\t\t\tif ( scope.object.isPerspectiveCamera ) {\n\n\t\t\t\t\t\t// move the camera down the pointer ray\n\t\t\t\t\t\t// this method avoids floating point error\n\t\t\t\t\t\tconst prevRadius = offset.length();\n\t\t\t\t\t\tnewRadius = clampDistance( prevRadius * scale );\n\n\t\t\t\t\t\tconst radiusDelta = prevRadius - newRadius;\n\t\t\t\t\t\tscope.object.position.addScaledVector( dollyDirection, radiusDelta );\n\t\t\t\t\t\tscope.object.updateMatrixWorld();\n\n\t\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\t\t// adjust the ortho camera position based on zoom changes\n\t\t\t\t\t\tconst mouseBefore = new Vector3( mouse.x, mouse.y, 0 );\n\t\t\t\t\t\tmouseBefore.unproject( scope.object );\n\n\t\t\t\t\t\tscope.object.zoom = Math.max( scope.minZoom, Math.min( scope.maxZoom, scope.object.zoom / scale ) );\n\t\t\t\t\t\tscope.object.updateProjectionMatrix();\n\t\t\t\t\t\tzoomChanged = true;\n\n\t\t\t\t\t\tconst mouseAfter = new Vector3( mouse.x, mouse.y, 0 );\n\t\t\t\t\t\tmouseAfter.unproject( scope.object );\n\n\t\t\t\t\t\tscope.object.position.sub( mouseAfter ).add( mouseBefore );\n\t\t\t\t\t\tscope.object.updateMatrixWorld();\n\n\t\t\t\t\t\tnewRadius = offset.length();\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled.' );\n\t\t\t\t\t\tscope.zoomToCursor = false;\n\n\t\t\t\t\t}\n\n\t\t\t\t\t// handle the placement of the target\n\t\t\t\t\tif ( newRadius !== null ) {\n\n\t\t\t\t\t\tif ( this.screenSpacePanning ) {\n\n\t\t\t\t\t\t\t// position the orbit target in front of the new camera position\n\t\t\t\t\t\t\tscope.target.set( 0, 0, - 1 )\n\t\t\t\t\t\t\t\t.transformDirection( scope.object.matrix )\n\t\t\t\t\t\t\t\t.multiplyScalar( newRadius )\n\t\t\t\t\t\t\t\t.add( scope.object.position );\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t// get the ray and translation plane to compute target\n\t\t\t\t\t\t\t_ray.origin.copy( scope.object.position );\n\t\t\t\t\t\t\t_ray.direction.set( 0, 0, - 1 ).transformDirection( scope.object.matrix );\n\n\t\t\t\t\t\t\t// if the camera is 20 degrees above the horizon then don't adjust the focus target to avoid\n\t\t\t\t\t\t\t// extremely large values\n\t\t\t\t\t\t\tif ( Math.abs( scope.object.up.dot( _ray.direction ) ) < TILT_LIMIT ) {\n\n\t\t\t\t\t\t\t\tobject.lookAt( scope.target );\n\n\t\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\t\t_plane.setFromNormalAndCoplanarPoint( scope.object.up, scope.target );\n\t\t\t\t\t\t\t\t_ray.intersectPlane( _plane, scope.target );\n\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\tscope.object.zoom = Math.max( scope.minZoom, Math.min( scope.maxZoom, scope.object.zoom / scale ) );\n\t\t\t\t\tscope.object.updateProjectionMatrix();\n\t\t\t\t\tzoomChanged = true;\n\n\t\t\t\t}\n\n\t\t\t\tscale = 1;\n\t\t\t\tperformCursorZoom = false;\n\n\t\t\t\t// update condition is:\n\t\t\t\t// min(camera displacement, camera rotation in radians)^2 > EPS\n\t\t\t\t// using small-angle approximation cos(x/2) = 1 - x^2 / 8\n\n\t\t\t\tif ( zoomChanged ||\n\t\t\t\t\tlastPosition.distanceToSquared( scope.object.position ) > EPS ||\n\t\t\t\t\t8 * ( 1 - lastQuaternion.dot( scope.object.quaternion ) ) > EPS ||\n\t\t\t\t\tlastTargetPosition.distanceToSquared( scope.target ) > 0 ) {\n\n\t\t\t\t\tscope.dispatchEvent( _changeEvent );\n\n\t\t\t\t\tlastPosition.copy( scope.object.position );\n\t\t\t\t\tlastQuaternion.copy( scope.object.quaternion );\n\t\t\t\t\tlastTargetPosition.copy( scope.target );\n\n\t\t\t\t\treturn true;\n\n\t\t\t\t}\n\n\t\t\t\treturn false;\n\n\t\t\t};\n\n\t\t}();\n\n\t\tthis.dispose = function () {\n\n\t\t\tscope.domElement.removeEventListener( 'contextmenu', onContextMenu );\n\n\t\t\tscope.domElement.removeEventListener( 'pointerdown', onPointerDown );\n\t\t\tscope.domElement.removeEventListener( 'pointercancel', onPointerUp );\n\t\t\tscope.domElement.removeEventListener( 'wheel', onMouseWheel );\n\n\t\t\tscope.domElement.removeEventListener( 'pointermove', onPointerMove );\n\t\t\tscope.domElement.removeEventListener( 'pointerup', onPointerUp );\n\n\n\t\t\tif ( scope._domElementKeyEvents !== null ) {\n\n\t\t\t\tscope._domElementKeyEvents.removeEventListener( 'keydown', onKeyDown );\n\t\t\t\tscope._domElementKeyEvents = null;\n\n\t\t\t}\n\n\t\t\t//scope.dispatchEvent( { type: 'dispose' } ); // should this be added here?\n\n\t\t};\n\n\t\t//\n\t\t// internals\n\t\t//\n\n\t\tconst scope = this;\n\n\t\tconst STATE = {\n\t\t\tNONE: - 1,\n\t\t\tROTATE: 0,\n\t\t\tDOLLY: 1,\n\t\t\tPAN: 2,\n\t\t\tTOUCH_ROTATE: 3,\n\t\t\tTOUCH_PAN: 4,\n\t\t\tTOUCH_DOLLY_PAN: 5,\n\t\t\tTOUCH_DOLLY_ROTATE: 6\n\t\t};\n\n\t\tlet state = STATE.NONE;\n\n\t\tconst EPS = 0.000001;\n\n\t\t// current position in spherical coordinates\n\t\tconst spherical = new Spherical();\n\t\tconst sphericalDelta = new Spherical();\n\n\t\tlet scale = 1;\n\t\tconst panOffset = new Vector3();\n\n\t\tconst rotateStart = new Vector2();\n\t\tconst rotateEnd = new Vector2();\n\t\tconst rotateDelta = new Vector2();\n\n\t\tconst panStart = new Vector2();\n\t\tconst panEnd = new Vector2();\n\t\tconst panDelta = new Vector2();\n\n\t\tconst dollyStart = new Vector2();\n\t\tconst dollyEnd = new Vector2();\n\t\tconst dollyDelta = new Vector2();\n\n\t\tconst dollyDirection = new Vector3();\n\t\tconst mouse = new Vector2();\n\t\tlet performCursorZoom = false;\n\n\t\tconst pointers = [];\n\t\tconst pointerPositions = {};\n\n\t\tlet controlActive = false;\n\n\t\tfunction getAutoRotationAngle( deltaTime ) {\n\n\t\t\tif ( deltaTime !== null ) {\n\n\t\t\t\treturn ( 2 * Math.PI / 60 * scope.autoRotateSpeed ) * deltaTime;\n\n\t\t\t} else {\n\n\t\t\t\treturn 2 * Math.PI / 60 / 60 * scope.autoRotateSpeed;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction getZoomScale( delta ) {\n\n\t\t\tconst normalizedDelta = Math.abs( delta * 0.01 );\n\t\t\treturn Math.pow( 0.95, scope.zoomSpeed * normalizedDelta );\n\n\t\t}\n\n\t\tfunction rotateLeft( angle ) {\n\n\t\t\tsphericalDelta.theta -= angle;\n\n\t\t}\n\n\t\tfunction rotateUp( angle ) {\n\n\t\t\tsphericalDelta.phi -= angle;\n\n\t\t}\n\n\t\tconst panLeft = function () {\n\n\t\t\tconst v = new Vector3();\n\n\t\t\treturn function panLeft( distance, objectMatrix ) {\n\n\t\t\t\tv.setFromMatrixColumn( objectMatrix, 0 ); // get X column of objectMatrix\n\t\t\t\tv.multiplyScalar( - distance );\n\n\t\t\t\tpanOffset.add( v );\n\n\t\t\t};\n\n\t\t}();\n\n\t\tconst panUp = function () {\n\n\t\t\tconst v = new Vector3();\n\n\t\t\treturn function panUp( distance, objectMatrix ) {\n\n\t\t\t\tif ( scope.screenSpacePanning === true ) {\n\n\t\t\t\t\tv.setFromMatrixColumn( objectMatrix, 1 );\n\n\t\t\t\t} else {\n\n\t\t\t\t\tv.setFromMatrixColumn( objectMatrix, 0 );\n\t\t\t\t\tv.crossVectors( scope.object.up, v );\n\n\t\t\t\t}\n\n\t\t\t\tv.multiplyScalar( distance );\n\n\t\t\t\tpanOffset.add( v );\n\n\t\t\t};\n\n\t\t}();\n\n\t\t// deltaX and deltaY are in pixels; right and down are positive\n\t\tconst pan = function () {\n\n\t\t\tconst offset = new Vector3();\n\n\t\t\treturn function pan( deltaX, deltaY ) {\n\n\t\t\t\tconst element = scope.domElement;\n\n\t\t\t\tif ( scope.object.isPerspectiveCamera ) {\n\n\t\t\t\t\t// perspective\n\t\t\t\t\tconst position = scope.object.position;\n\t\t\t\t\toffset.copy( position ).sub( scope.target );\n\t\t\t\t\tlet targetDistance = offset.length();\n\n\t\t\t\t\t// half of the fov is center to top of screen\n\t\t\t\t\ttargetDistance *= Math.tan( ( scope.object.fov / 2 ) * Math.PI / 180.0 );\n\n\t\t\t\t\t// we use only clientHeight here so aspect ratio does not distort speed\n\t\t\t\t\tpanLeft( 2 * deltaX * targetDistance / element.clientHeight, scope.object.matrix );\n\t\t\t\t\tpanUp( 2 * deltaY * targetDistance / element.clientHeight, scope.object.matrix );\n\n\t\t\t\t} else if ( scope.object.isOrthographicCamera ) {\n\n\t\t\t\t\t// orthographic\n\t\t\t\t\tpanLeft( deltaX * ( scope.object.right - scope.object.left ) / scope.object.zoom / element.clientWidth, scope.object.matrix );\n\t\t\t\t\tpanUp( deltaY * ( scope.object.top - scope.object.bottom ) / scope.object.zoom / element.clientHeight, scope.object.matrix );\n\n\t\t\t\t} else {\n\n\t\t\t\t\t// camera neither orthographic nor perspective\n\t\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - pan disabled.' );\n\t\t\t\t\tscope.enablePan = false;\n\n\t\t\t\t}\n\n\t\t\t};\n\n\t\t}();\n\n\t\tfunction dollyOut( dollyScale ) {\n\n\t\t\tif ( scope.object.isPerspectiveCamera || scope.object.isOrthographicCamera ) {\n\n\t\t\t\tscale /= dollyScale;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.' );\n\t\t\t\tscope.enableZoom = false;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction dollyIn( dollyScale ) {\n\n\t\t\tif ( scope.object.isPerspectiveCamera || scope.object.isOrthographicCamera ) {\n\n\t\t\t\tscale *= dollyScale;\n\n\t\t\t} else {\n\n\t\t\t\tconsole.warn( 'WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.' );\n\t\t\t\tscope.enableZoom = false;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction updateZoomParameters( x, y ) {\n\n\t\t\tif ( ! scope.zoomToCursor ) {\n\n\t\t\t\treturn;\n\n\t\t\t}\n\n\t\t\tperformCursorZoom = true;\n\n\t\t\tconst rect = scope.domElement.getBoundingClientRect();\n\t\t\tconst dx = x - rect.left;\n\t\t\tconst dy = y - rect.top;\n\t\t\tconst w = rect.width;\n\t\t\tconst h = rect.height;\n\n\t\t\tmouse.x = ( dx / w ) * 2 - 1;\n\t\t\tmouse.y = - ( dy / h ) * 2 + 1;\n\n\t\t\tdollyDirection.set( mouse.x, mouse.y, 1 ).unproject( scope.object ).sub( scope.object.position ).normalize();\n\n\t\t}\n\n\t\tfunction clampDistance( dist ) {\n\n\t\t\treturn Math.max( scope.minDistance, Math.min( scope.maxDistance, dist ) );\n\n\t\t}\n\n\t\t//\n\t\t// event callbacks - update the object state\n\t\t//\n\n\t\tfunction handleMouseDownRotate( event ) {\n\n\t\t\trotateStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseDownDolly( event ) {\n\n\t\t\tupdateZoomParameters( event.clientX, event.clientX );\n\t\t\tdollyStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseDownPan( event ) {\n\n\t\t\tpanStart.set( event.clientX, event.clientY );\n\n\t\t}\n\n\t\tfunction handleMouseMoveRotate( event ) {\n\n\t\t\trotateEnd.set( event.clientX, event.clientY );\n\n\t\t\trotateDelta.subVectors( rotateEnd, rotateStart ).multiplyScalar( scope.rotateSpeed );\n\n\t\t\tconst element = scope.domElement;\n\n\t\t\trotateLeft( 2 * Math.PI * rotateDelta.x / element.clientHeight ); // yes, height\n\n\t\t\trotateUp( 2 * Math.PI * rotateDelta.y / element.clientHeight );\n\n\t\t\trotateStart.copy( rotateEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseMoveDolly( event ) {\n\n\t\t\tdollyEnd.set( event.clientX, event.clientY );\n\n\t\t\tdollyDelta.subVectors( dollyEnd, dollyStart );\n\n\t\t\tif ( dollyDelta.y > 0 ) {\n\n\t\t\t\tdollyOut( getZoomScale( dollyDelta.y ) );\n\n\t\t\t} else if ( dollyDelta.y < 0 ) {\n\n\t\t\t\tdollyIn( getZoomScale( dollyDelta.y ) );\n\n\t\t\t}\n\n\t\t\tdollyStart.copy( dollyEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseMovePan( event ) {\n\n\t\t\tpanEnd.set( event.clientX, event.clientY );\n\n\t\t\tpanDelta.subVectors( panEnd, panStart ).multiplyScalar( scope.panSpeed );\n\n\t\t\tpan( panDelta.x, panDelta.y );\n\n\t\t\tpanStart.copy( panEnd );\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleMouseWheel( event ) {\n\n\t\t\tupdateZoomParameters( event.clientX, event.clientY );\n\n\t\t\tif ( event.deltaY < 0 ) {\n\n\t\t\t\tdollyIn( getZoomScale( event.deltaY ) );\n\n\t\t\t} else if ( event.deltaY > 0 ) {\n\n\t\t\t\tdollyOut( getZoomScale( event.deltaY ) );\n\n\t\t\t}\n\n\t\t\tscope.update();\n\n\t\t}\n\n\t\tfunction handleKeyDown( event ) {\n\n\t\t\tlet needsUpdate = false;\n\n\t\t\tswitch ( event.code ) {\n\n\t\t\t\tcase scope.keys.UP:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateUp( 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( 0, scope.keyPanSpeed );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.BOTTOM:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateUp( - 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( 0, - scope.keyPanSpeed );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.LEFT:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateLeft( 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( scope.keyPanSpeed, 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase scope.keys.RIGHT:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\trotateLeft( - 2 * Math.PI * scope.rotateSpeed / scope.domElement.clientHeight );\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tpan( - scope.keyPanSpeed, 0 );\n\n\t\t\t\t\t}\n\n\t\t\t\t\tneedsUpdate = true;\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\tif ( needsUpdate ) {\n\n\t\t\t\t// prevent the browser from scrolling on cursor keys\n\t\t\t\tevent.preventDefault();\n\n\t\t\t\tscope.update();\n\n\t\t\t}\n\n\n\t\t}\n\n\t\tfunction handleTouchStartRotate( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\trotateStart.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\trotateStart.set( x, y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction handleTouchStartPan( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\tpanStart.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\tpanStart.set( x, y );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction handleTouchStartDolly( event ) {\n\n\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\tconst dx = event.pageX - position.x;\n\t\t\tconst dy = event.pageY - position.y;\n\n\t\t\tconst distance = Math.sqrt( dx * dx + dy * dy );\n\n\t\t\tdollyStart.set( 0, distance );\n\n\t\t}\n\n\t\tfunction handleTouchStartDollyPan( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchStartDolly( event );\n\n\t\t\tif ( scope.enablePan ) handleTouchStartPan( event );\n\n\t\t}\n\n\t\tfunction handleTouchStartDollyRotate( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchStartDolly( event );\n\n\t\t\tif ( scope.enableRotate ) handleTouchStartRotate( event );\n\n\t\t}\n\n\t\tfunction handleTouchMoveRotate( event ) {\n\n\t\t\tif ( pointers.length == 1 ) {\n\n\t\t\t\trotateEnd.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\trotateEnd.set( x, y );\n\n\t\t\t}\n\n\t\t\trotateDelta.subVectors( rotateEnd, rotateStart ).multiplyScalar( scope.rotateSpeed );\n\n\t\t\tconst element = scope.domElement;\n\n\t\t\trotateLeft( 2 * Math.PI * rotateDelta.x / element.clientHeight ); // yes, height\n\n\t\t\trotateUp( 2 * Math.PI * rotateDelta.y / element.clientHeight );\n\n\t\t\trotateStart.copy( rotateEnd );\n\n\t\t}\n\n\t\tfunction handleTouchMovePan( event ) {\n\n\t\t\tif ( pointers.length === 1 ) {\n\n\t\t\t\tpanEnd.set( event.pageX, event.pageY );\n\n\t\t\t} else {\n\n\t\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\t\tconst x = 0.5 * ( event.pageX + position.x );\n\t\t\t\tconst y = 0.5 * ( event.pageY + position.y );\n\n\t\t\t\tpanEnd.set( x, y );\n\n\t\t\t}\n\n\t\t\tpanDelta.subVectors( panEnd, panStart ).multiplyScalar( scope.panSpeed );\n\n\t\t\tpan( panDelta.x, panDelta.y );\n\n\t\t\tpanStart.copy( panEnd );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDolly( event ) {\n\n\t\t\tconst position = getSecondPointerPosition( event );\n\n\t\t\tconst dx = event.pageX - position.x;\n\t\t\tconst dy = event.pageY - position.y;\n\n\t\t\tconst distance = Math.sqrt( dx * dx + dy * dy );\n\n\t\t\tdollyEnd.set( 0, distance );\n\n\t\t\tdollyDelta.set( 0, Math.pow( dollyEnd.y / dollyStart.y, scope.zoomSpeed ) );\n\n\t\t\tdollyOut( dollyDelta.y );\n\n\t\t\tdollyStart.copy( dollyEnd );\n\n\t\t\tconst centerX = ( event.pageX + position.x ) * 0.5;\n\t\t\tconst centerY = ( event.pageY + position.y ) * 0.5;\n\n\t\t\tupdateZoomParameters( centerX, centerY );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDollyPan( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchMoveDolly( event );\n\n\t\t\tif ( scope.enablePan ) handleTouchMovePan( event );\n\n\t\t}\n\n\t\tfunction handleTouchMoveDollyRotate( event ) {\n\n\t\t\tif ( scope.enableZoom ) handleTouchMoveDolly( event );\n\n\t\t\tif ( scope.enableRotate ) handleTouchMoveRotate( event );\n\n\t\t}\n\n\t\t//\n\t\t// event handlers - FSM: listen for events and reset state\n\t\t//\n\n\t\tfunction onPointerDown( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tif ( pointers.length === 0 ) {\n\n\t\t\t\tscope.domElement.setPointerCapture( event.pointerId );\n\n\t\t\t\tscope.domElement.addEventListener( 'pointermove', onPointerMove );\n\t\t\t\tscope.domElement.addEventListener( 'pointerup', onPointerUp );\n\n\t\t\t}\n\n\t\t\t//\n\n\t\t\taddPointer( event );\n\n\t\t\tif ( event.pointerType === 'touch' ) {\n\n\t\t\t\tonTouchStart( event );\n\n\t\t\t} else {\n\n\t\t\t\tonMouseDown( event );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onPointerMove( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tif ( event.pointerType === 'touch' ) {\n\n\t\t\t\tonTouchMove( event );\n\n\t\t\t} else {\n\n\t\t\t\tonMouseMove( event );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onPointerUp( event ) {\n\n\t\t\tremovePointer( event );\n\n\t\t\tif ( pointers.length === 0 ) {\n\n\t\t\t\tscope.domElement.releasePointerCapture( event.pointerId );\n\n\t\t\t\tscope.domElement.removeEventListener( 'pointermove', onPointerMove );\n\t\t\t\tscope.domElement.removeEventListener( 'pointerup', onPointerUp );\n\n\t\t\t}\n\n\t\t\tscope.dispatchEvent( _endEvent );\n\n\t\t\tstate = STATE.NONE;\n\n\t\t}\n\n\t\tfunction onMouseDown( event ) {\n\n\t\t\tlet mouseAction;\n\n\t\t\tswitch ( event.button ) {\n\n\t\t\t\tcase 0:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.LEFT;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 1:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.MIDDLE;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2:\n\n\t\t\t\t\tmouseAction = scope.mouseButtons.RIGHT;\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tmouseAction = - 1;\n\n\t\t\t}\n\n\t\t\tswitch ( mouseAction ) {\n\n\t\t\t\tcase MOUSE.DOLLY:\n\n\t\t\t\t\tif ( scope.enableZoom === false ) return;\n\n\t\t\t\t\thandleMouseDownDolly( event );\n\n\t\t\t\t\tstate = STATE.DOLLY;\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MOUSE.ROTATE:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\thandleMouseDownPan( event );\n\n\t\t\t\t\t\tstate = STATE.PAN;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\thandleMouseDownRotate( event );\n\n\t\t\t\t\t\tstate = STATE.ROTATE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase MOUSE.PAN:\n\n\t\t\t\t\tif ( event.ctrlKey || event.metaKey || event.shiftKey ) {\n\n\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\thandleMouseDownRotate( event );\n\n\t\t\t\t\t\tstate = STATE.ROTATE;\n\n\t\t\t\t\t} else {\n\n\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\thandleMouseDownPan( event );\n\n\t\t\t\t\t\tstate = STATE.PAN;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t\tif ( state !== STATE.NONE ) {\n\n\t\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onMouseMove( event ) {\n\n\t\t\tswitch ( state ) {\n\n\t\t\t\tcase STATE.ROTATE:\n\n\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleMouseMoveRotate( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.DOLLY:\n\n\t\t\t\t\tif ( scope.enableZoom === false ) return;\n\n\t\t\t\t\thandleMouseMoveDolly( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.PAN:\n\n\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\thandleMouseMovePan( event );\n\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onMouseWheel( event ) {\n\n\t\t\tif ( scope.enabled === false || scope.enableZoom === false || state !== STATE.NONE ) return;\n\n\t\t\tevent.preventDefault();\n\n\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\thandleMouseWheel( customWheelEvent( event ) );\n\n\t\t\tscope.dispatchEvent( _endEvent );\n\n\t\t}\n\n\t\tfunction customWheelEvent( event ) {\n\n\t\t\tconst mode = event.deltaMode;\n\n\t\t\t// minimal wheel event altered to meet delta-zoom demand\n\t\t\tconst newEvent = {\n\t\t\t\tclientX: event.clientX,\n\t\t\t\tclientY: event.clientY,\n\t\t\t\tdeltaY: event.deltaY,\n\t\t\t}\n\n\t\t\tswitch ( mode ) {\n\n\t\t\t\tcase 1: // LINE_MODE\n\t\t\t\t\tnewEvent.deltaY *= 16;\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2: // PAGE_MODE\n\t\t\t\t\tnewEvent.deltaY *= 100;\n\t\t\t\t\tbreak;\n\n\t\t\t}\n\n\t\t\t// detect if event was triggered by pinching\n\t\t\tif ( event.ctrlKey && !controlActive ) {\n\n\t\t\t\tnewEvent.deltaY *= 10;\n\n\t\t\t}\n\n\t\t\treturn newEvent;\n\n\t\t}\n\n\t\tfunction interceptControlDown( event ) {\n\n\t\t\tif ( event.key === \"Control\" ) {\n\n\t\t\t\tcontrolActive = true;\n\t\t\t\t\n\t\t\t\tdocument.addEventListener('keyup', interceptControlUp, { passive: true, capture: true });\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction interceptControlUp( event ) {\n\n\t\t\tif ( event.key === \"Control\" ) {\n\n\t\t\t\tcontrolActive = false;\n\t\t\t\t\n\t\t\t\tdocument.removeEventListener('keyup', interceptControlUp, { passive: true, capture: true });\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onKeyDown( event ) {\n\n\t\t\tif ( scope.enabled === false || scope.enablePan === false ) return;\n\n\t\t\thandleKeyDown( event );\n\n\t\t}\n\n\t\tfunction onTouchStart( event ) {\n\n\t\t\ttrackPointer( event );\n\n\t\t\tswitch ( pointers.length ) {\n\n\t\t\t\tcase 1:\n\n\t\t\t\t\tswitch ( scope.touches.ONE ) {\n\n\t\t\t\t\t\tcase TOUCH.ROTATE:\n\n\t\t\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartRotate( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_ROTATE;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase TOUCH.PAN:\n\n\t\t\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartPan( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_PAN;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase 2:\n\n\t\t\t\t\tswitch ( scope.touches.TWO ) {\n\n\t\t\t\t\t\tcase TOUCH.DOLLY_PAN:\n\n\t\t\t\t\t\t\tif ( scope.enableZoom === false && scope.enablePan === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartDollyPan( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_DOLLY_PAN;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tcase TOUCH.DOLLY_ROTATE:\n\n\t\t\t\t\t\t\tif ( scope.enableZoom === false && scope.enableRotate === false ) return;\n\n\t\t\t\t\t\t\thandleTouchStartDollyRotate( event );\n\n\t\t\t\t\t\t\tstate = STATE.TOUCH_DOLLY_ROTATE;\n\n\t\t\t\t\t\t\tbreak;\n\n\t\t\t\t\t\tdefault:\n\n\t\t\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t\tif ( state !== STATE.NONE ) {\n\n\t\t\t\tscope.dispatchEvent( _startEvent );\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onTouchMove( event ) {\n\n\t\t\ttrackPointer( event );\n\n\t\t\tswitch ( state ) {\n\n\t\t\t\tcase STATE.TOUCH_ROTATE:\n\n\t\t\t\t\tif ( scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleTouchMoveRotate( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_PAN:\n\n\t\t\t\t\tif ( scope.enablePan === false ) return;\n\n\t\t\t\t\thandleTouchMovePan( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_DOLLY_PAN:\n\n\t\t\t\t\tif ( scope.enableZoom === false && scope.enablePan === false ) return;\n\n\t\t\t\t\thandleTouchMoveDollyPan( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tcase STATE.TOUCH_DOLLY_ROTATE:\n\n\t\t\t\t\tif ( scope.enableZoom === false && scope.enableRotate === false ) return;\n\n\t\t\t\t\thandleTouchMoveDollyRotate( event );\n\n\t\t\t\t\tscope.update();\n\n\t\t\t\t\tbreak;\n\n\t\t\t\tdefault:\n\n\t\t\t\t\tstate = STATE.NONE;\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction onContextMenu( event ) {\n\n\t\t\tif ( scope.enabled === false ) return;\n\n\t\t\tevent.preventDefault();\n\n\t\t}\n\n\t\tfunction addPointer( event ) {\n\n\t\t\tpointers.push( event.pointerId );\n\n\t\t}\n\n\t\tfunction removePointer( event ) {\n\n\t\t\tdelete pointerPositions[ event.pointerId ];\n\n\t\t\tfor ( let i = 0; i < pointers.length; i ++ ) {\n\n\t\t\t\tif ( pointers[ i ] == event.pointerId ) {\n\n\t\t\t\t\tpointers.splice( i, 1 );\n\t\t\t\t\treturn;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tfunction trackPointer( event ) {\n\n\t\t\tlet position = pointerPositions[ event.pointerId ];\n\n\t\t\tif ( position === undefined ) {\n\n\t\t\t\tposition = new Vector2();\n\t\t\t\tpointerPositions[ event.pointerId ] = position;\n\n\t\t\t}\n\n\t\t\tposition.set( event.pageX, event.pageY );\n\n\t\t}\n\n\t\tfunction getSecondPointerPosition( event ) {\n\n\t\t\tconst pointerId = ( event.pointerId === pointers[ 0 ] ) ? pointers[ 1 ] : pointers[ 0 ];\n\n\t\t\treturn pointerPositions[ pointerId ];\n\n\t\t}\n\n\t\t//\n\n\t\tscope.domElement.addEventListener( 'contextmenu', onContextMenu );\n\n\t\tscope.domElement.addEventListener( 'pointerdown', onPointerDown );\n\t\tscope.domElement.addEventListener( 'pointercancel', onPointerUp );\n\t\tscope.domElement.addEventListener( 'wheel', onMouseWheel, { passive: false } );\n\n\t\tdocument.addEventListener( 'keydown', interceptControlDown, { passive: true, capture: true } );\n\n\t\t// force an update at start\n\n\t\tthis.update();\n\n\t}\n\n}\n\nexport { OrbitControls };","import { useEffect, useMemo, useRef, useState } from 'react';\nimport type { ChangeEvent, CSSProperties } from 'react';\nimport * as THREE from 'three';\nimport { OrbitControls } from 'three/examples/jsm/controls/OrbitControls.js';\nimport styles from './styles.module.css';\nimport type { GlitchComponentProps } from './types';\n\nconst BASE_LATTICE_SPAN = 24;\nconst DEFAULT_CAMERA_POSITION = new THREE.Vector3(20, 20, 20);\nconst DEFAULT_CAMERA_TARGET = new THREE.Vector3(0, 0, 0);\nconst RESET_DELAY_MS = 5000;\nconst SCENE_BACKGROUND = '#f2f0ea';\n\ninterface ComponentParams {\n gridSize?: number;\n majorRadius?: number;\n minorRadius?: number;\n}\n\ninterface FrameMetrics {\n layout: 'landscape' | 'portrait';\n width: number;\n height: number;\n}\n\nconst clamp = (value: number, min: number, max: number) => Math.min(max, Math.max(min, value));\n\nconst getParamNumber = (value: unknown, fallback: number, min: number, max: number, step = 1) => {\n if (typeof value !== 'number' || Number.isNaN(value)) return fallback;\n const stepped = Math.round(value / step) * step;\n return clamp(stepped, min, max);\n};\n\nfunction setupLights(targetScene: THREE.Scene) {\n const ambientLight = new THREE.AmbientLight(0xffffff, 0.65);\n targetScene.add(ambientLight);\n\n const directionalLight = new THREE.DirectionalLight(0xffffff, 1.1);\n directionalLight.position.set(20, 50, 20);\n directionalLight.castShadow = true;\n directionalLight.shadow.mapSize.width = 2048;\n directionalLight.shadow.mapSize.height = 2048;\n targetScene.add(directionalLight);\n\n const coolLight = new THREE.PointLight(0x3b82f6, 1.1, 50);\n coolLight.position.set(-10, 10, -10);\n targetScene.add(coolLight);\n\n const warmLight = new THREE.PointLight(0xff7a59, 0.9, 50);\n warmLight.position.set(10, -10, 10);\n targetScene.add(warmLight);\n}\n\nfunction disposeMaterial(material: THREE.Material | THREE.Material[]) {\n if (Array.isArray(material)) {\n material.forEach((item) => item.dispose());\n return;\n }\n\n material.dispose();\n}\n\nfunction disposeScene(scene: THREE.Scene) {\n scene.traverse((object) => {\n const mesh = object as THREE.Object3D & {\n geometry?: THREE.BufferGeometry;\n material?: THREE.Material | THREE.Material[];\n };\n\n if (mesh.geometry) {\n mesh.geometry.dispose();\n }\n\n if (mesh.material) {\n disposeMaterial(mesh.material);\n }\n });\n}\n\nexport default function Component({\n config,\n onComplete,\n onProgress,\n theme,\n className\n}: GlitchComponentProps) {\n const params = (config.params ?? {}) as ComponentParams;\n const gridSize = getParamNumber(params.gridSize, 24, 12, 80, 1);\n const majorRadius = getParamNumber(params.majorRadius, 8, 4, 10, 0.5);\n const minorRadius = getParamNumber(params.minorRadius, 3, 1, 5, 0.25);\n\n const [resolution, setResolution] = useState(gridSize);\n const [frame, setFrame] = useState({\n layout: 'landscape',\n width: 0,\n height: 0\n });\n\n const wrapperRef = useRef(null);\n const canvasContainerRef = useRef(null);\n const completedRef = useRef(false);\n\n useEffect(() => {\n const wrapperNode = wrapperRef.current;\n if (!wrapperNode) return;\n\n const updateFrame = () => {\n const availableWidth = wrapperNode.clientWidth;\n const availableHeight = wrapperNode.clientHeight;\n\n if (!availableWidth || !availableHeight) return;\n\n const layout = availableWidth >= availableHeight ? 'landscape' : 'portrait';\n let width = availableWidth;\n let height = availableHeight;\n\n if (layout === 'landscape') {\n height = Math.min(availableHeight, availableWidth * (9 / 16));\n width = height * (16 / 9);\n } else {\n width = Math.min(availableWidth, availableHeight / 2);\n height = width * 2;\n }\n\n setFrame({\n layout,\n width,\n height\n });\n };\n\n const resizeObserver = new ResizeObserver(updateFrame);\n resizeObserver.observe(wrapperNode);\n updateFrame();\n\n return () => {\n resizeObserver.disconnect();\n };\n }, []);\n\n useEffect(() => {\n setResolution(gridSize);\n completedRef.current = false;\n }, [config.id, gridSize, majorRadius, minorRadius]);\n\n const latticeSpan = useMemo(\n () => Math.max(BASE_LATTICE_SPAN, (majorRadius + minorRadius + 1.5) * 2),\n [majorRadius, minorRadius]\n );\n const voxelSize = useMemo(() => latticeSpan / resolution, [latticeSpan, resolution]);\n\n useEffect(() => {\n onProgress?.(resolution === gridSize ? 0 : 100);\n }, [gridSize, onProgress, resolution]);\n\n useEffect(() => {\n if (resolution === gridSize || completedRef.current) return;\n\n completedRef.current = true;\n onComplete({\n success: true,\n score: 100,\n data: {\n configId: config.id,\n completedAt: new Date().toISOString(),\n params: {\n gridSize: resolution,\n majorRadius,\n minorRadius\n }\n }\n });\n }, [config.id, gridSize, majorRadius, minorRadius, onComplete, resolution]);\n\n useEffect(() => {\n const mountNode = canvasContainerRef.current;\n if (!mountNode) return;\n\n const sceneContinuous = new THREE.Scene();\n const sceneDiscrete = new THREE.Scene();\n const backgroundColor = new THREE.Color(SCENE_BACKGROUND);\n\n sceneContinuous.background = backgroundColor;\n sceneContinuous.fog = new THREE.FogExp2(SCENE_BACKGROUND, 0.02);\n sceneDiscrete.background = backgroundColor;\n sceneDiscrete.fog = new THREE.FogExp2(SCENE_BACKGROUND, 0.02);\n\n setupLights(sceneContinuous);\n setupLights(sceneDiscrete);\n\n const camera = new THREE.PerspectiveCamera(45, 1, 0.1, 1000);\n camera.position.copy(DEFAULT_CAMERA_POSITION);\n\n const renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true });\n renderer.shadowMap.enabled = true;\n renderer.shadowMap.type = THREE.PCFSoftShadowMap;\n renderer.setPixelRatio(Math.min(window.devicePixelRatio, 2));\n renderer.setScissorTest(true);\n mountNode.appendChild(renderer.domElement);\n\n const controls = new OrbitControls(camera, renderer.domElement);\n controls.enableDamping = true;\n controls.dampingFactor = 0.05;\n controls.minDistance = 5;\n controls.maxDistance = 100;\n controls.target.copy(DEFAULT_CAMERA_TARGET);\n\n const torusGeometry = new THREE.TorusGeometry(majorRadius, minorRadius, 64, 128);\n const torusMaterial = new THREE.MeshStandardMaterial({\n color: 0x3b82f6,\n roughness: 0.22,\n metalness: 0.1\n });\n const torusMesh = new THREE.Mesh(torusGeometry, torusMaterial);\n torusMesh.castShadow = true;\n torusMesh.receiveShadow = true;\n torusMesh.rotation.x = -Math.PI / 2;\n sceneContinuous.add(torusMesh);\n\n const voxelGap = voxelSize * 0.12;\n const voxelEdge = Math.max(voxelSize - voxelGap, voxelSize * 0.2);\n const voxelGeometry = new THREE.BoxGeometry(voxelEdge, voxelEdge, voxelEdge);\n const solidMaterial = new THREE.MeshStandardMaterial({\n color: 0x3b82f6,\n roughness: 0.22,\n metalness: 0.1\n });\n const emptyMaterial = new THREE.MeshBasicMaterial({\n color: 0x000000,\n transparent: true,\n opacity: 0.08,\n wireframe: true\n });\n\n const totalVoxels = Math.pow(resolution, 3);\n const solidMesh = new THREE.InstancedMesh(voxelGeometry, solidMaterial, totalVoxels);\n const emptyMesh = new THREE.InstancedMesh(voxelGeometry, emptyMaterial, totalVoxels);\n const voxelOffset = ((resolution - 1) * voxelSize) / 2;\n const dummy = new THREE.Object3D();\n\n solidMesh.castShadow = true;\n solidMesh.receiveShadow = true;\n sceneDiscrete.add(solidMesh);\n sceneDiscrete.add(emptyMesh);\n\n let solidCount = 0;\n let emptyCount = 0;\n\n for (let x = 0; x < resolution; x += 1) {\n for (let y = 0; y < resolution; y += 1) {\n for (let z = 0; z < resolution; z += 1) {\n const px = x * voxelSize - voxelOffset;\n const py = y * voxelSize - voxelOffset;\n const pz = z * voxelSize - voxelOffset;\n const distHorizontal = Math.sqrt(px * px + pz * pz) - majorRadius;\n const distSquared = distHorizontal * distHorizontal + py * py;\n const isSolid = distSquared < minorRadius * minorRadius;\n\n dummy.position.set(px, py, pz);\n dummy.updateMatrix();\n\n if (isSolid) {\n solidMesh.setMatrixAt(solidCount, dummy.matrix);\n const color = new THREE.Color();\n const hue = 0.52 + (py / Math.max(resolution, 1)) * 0.18;\n color.setHSL(hue, 0.78, 0.52);\n solidMesh.setColorAt(solidCount, color);\n solidCount += 1;\n continue;\n }\n\n emptyMesh.setMatrixAt(emptyCount, dummy.matrix);\n emptyCount += 1;\n }\n }\n }\n\n solidMesh.count = solidCount;\n emptyMesh.count = emptyCount;\n solidMesh.instanceMatrix.needsUpdate = true;\n emptyMesh.instanceMatrix.needsUpdate = true;\n if (solidMesh.instanceColor) {\n solidMesh.instanceColor.needsUpdate = true;\n }\n\n const targetCameraPosition = DEFAULT_CAMERA_POSITION.clone();\n const targetControlsPosition = DEFAULT_CAMERA_TARGET.clone();\n let animateCamera = false;\n let resetTimer: number | null = null;\n let width = 0;\n let height = 0;\n\n const resize = () => {\n width = mountNode.clientWidth;\n height = mountNode.clientHeight;\n\n if (!width || !height) return;\n\n camera.aspect = 1;\n camera.updateProjectionMatrix();\n renderer.setSize(width, height, false);\n };\n\n const resizeObserver = new ResizeObserver(resize);\n resizeObserver.observe(mountNode);\n resize();\n\n const handleControlsStart = () => {\n animateCamera = false;\n if (resetTimer !== null) {\n window.clearTimeout(resetTimer);\n resetTimer = null;\n }\n };\n\n const handleControlsEnd = () => {\n resetTimer = window.setTimeout(() => {\n animateCamera = true;\n }, RESET_DELAY_MS);\n };\n\n controls.addEventListener('start', handleControlsStart);\n controls.addEventListener('end', handleControlsEnd);\n\n let animationFrame = 0;\n\n const renderFrame = () => {\n animationFrame = window.requestAnimationFrame(renderFrame);\n\n if (animateCamera) {\n camera.position.lerp(targetCameraPosition, 0.05);\n controls.target.lerp(targetControlsPosition, 0.05);\n\n if (\n camera.position.distanceTo(targetCameraPosition) < 0.1 &&\n controls.target.distanceTo(targetControlsPosition) < 0.1\n ) {\n animateCamera = false;\n }\n }\n\n torusMesh.rotation.z += 0.002;\n solidMesh.rotation.y += 0.002;\n emptyMesh.rotation.y += 0.002;\n emptyMesh.visible = false;\n\n controls.update();\n\n if (!width || !height) return;\n\n const isLandscape = width >= height;\n const squareSize = isLandscape ? Math.min(width / 2, height) : Math.min(width, height / 2);\n const startX = isLandscape ? (width - squareSize * 2) / 2 : (width - squareSize) / 2;\n const startY = isLandscape ? (height - squareSize) / 2 : (height - squareSize * 2) / 2;\n\n const continuousX = startX;\n const continuousY = isLandscape ? startY : startY + squareSize;\n const discreteX = isLandscape ? startX + squareSize : startX;\n const discreteY = startY;\n\n renderer.setScissor(continuousX, continuousY, squareSize, squareSize);\n renderer.setViewport(continuousX, continuousY, squareSize, squareSize);\n renderer.render(sceneContinuous, camera);\n\n renderer.setScissor(discreteX, discreteY, squareSize, squareSize);\n renderer.setViewport(discreteX, discreteY, squareSize, squareSize);\n renderer.render(sceneDiscrete, camera);\n };\n\n renderFrame();\n\n return () => {\n window.cancelAnimationFrame(animationFrame);\n if (resetTimer !== null) {\n window.clearTimeout(resetTimer);\n }\n resizeObserver.disconnect();\n controls.removeEventListener('start', handleControlsStart);\n controls.removeEventListener('end', handleControlsEnd);\n controls.dispose();\n renderer.dispose();\n disposeScene(sceneContinuous);\n disposeScene(sceneDiscrete);\n mountNode.removeChild(renderer.domElement);\n };\n }, [majorRadius, minorRadius, resolution, voxelSize]);\n\n const cssVars = useMemo(\n () =>\n ({\n '--gc-primary': theme?.primary ?? 'var(--color-primary, #45c4b0)',\n '--gc-accent': theme?.accent ?? 'var(--color-accent, #ff7a59)',\n '--gc-bg': theme?.bg ?? 'var(--color-bg, #0d1117)',\n '--gc-bg-secondary': theme?.bgSecondary ?? 'var(--color-bg-secondary, #182237)',\n '--gc-text': theme?.text ?? 'var(--color-text, #f1f4ef)',\n '--gc-text-muted': theme?.textMuted ?? 'var(--color-text-muted, #b6c0d4)',\n '--gc-border': theme?.border ?? 'var(--color-border, #34516f)'\n }) as CSSProperties,\n [theme]\n );\n\n const handleResolutionChange = (event: ChangeEvent) => {\n setResolution(Number(event.target.value));\n };\n\n return (\n
\n \n
\n
\n
Continuous
\n
Discrete
\n
\n
\n \n
\n
\n
\n );\n}\n","import Component from './Component';\nimport type { GlitchComponentMetadata } from './types';\n\nexport default Component;\n\nexport const metadata: GlitchComponentMetadata = {\n name: 'voxel_universe',\n displayName: 'Voxel Universe',\n version: '1.0.0',\n paramSchema: {\n gridSize: {\n type: 'range',\n label: 'Voxel Resolution',\n description: 'How many voxels are used per axis. Higher values make each voxel smaller.',\n default: 24,\n min: 12,\n max: 80,\n step: 1\n },\n majorRadius: {\n type: 'range',\n label: 'Major Radius',\n description: 'Overall radius of the torus shape.',\n default: 8,\n min: 4,\n max: 10,\n step: 0.5\n },\n minorRadius: {\n type: 'range',\n label: 'Minor Radius',\n description: 'Thickness of the torus ring.',\n default: 3,\n min: 1,\n max: 5,\n step: 0.25\n }\n },\n defaultParams: {\n gridSize: 24,\n majorRadius: 8,\n minorRadius: 3\n }\n};\n\nexport type {\n GlitchComponentProps,\n GlitchComponentConfig,\n GlitchComponentResult,\n GlitchTheme,\n GlitchComponentMetadata\n} from 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"https://images.unsplash.com/photo-1529156069898-49953e39b3ac?auto=format&fit=crop&w=800&q=80" + } + ], + "slides": [ + { + "id": "slide-01-square-yellow", + "startTimeSec": 0, + "endTimeSec": 3.2, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-01-a", + "score": 0.86, + "componentKey": "SquareYellow", + "authorName": "Amina", + "orientation": "any", + "props": { + "header": "GROWTH LOOKS FINE", + "imageSrc": "https://images.unsplash.com/photo-1520607162513-77705c0f0d4a?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "Crowd moving through an urban square" + } + }, + { + "id": "slide-01-b", + "score": 0.62, + "componentKey": "SquareYellow", + "authorName": "Jonas", + "orientation": "any", + "props": { + "header": "LIFE FEELS TIGHT", + "imageSrc": "https://images.unsplash.com/photo-1529156069898-49953e39b3ac?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "Blurred commuters moving through a city crowd" + } + } + ] + }, + { + "id": "slide-02-fullscreen-split", + "startTimeSec": 3.2, + "endTimeSec": 4.8, + "displayMode": "fullscreen", + "glitchSlides": [ + { + "id": "slide-02-a", + "score": 0.88, + "componentKey": "FullscreenSplit", + "authorName": "Editor Bot", + "orientation": "any", + "props": { + "eyebrow": "Seam mask", + "title": "Fullscreen hides the stitch.", + "body": "The talk keeps moving underneath.", + "imageSrc": "https://images.unsplash.com/photo-1552664730-d307ca884978?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "People collaborating around a table", + "imagePosition": "left" + } + } + ] + }, + { + "id": "slide-03-equation-focus", + "startTimeSec": 4.8, + "endTimeSec": 7.2, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-03-a", + "score": 0.82, + "componentKey": "EquationFocus", + "authorName": "Mira", + "latexString": "\\bar{x} = \\frac{1}{N}\\sum_{i=0}^{N} x_i", + "orientation": "any", + "props": { + "eyebrow": "Equation focus", + "title": "Definition of the mean", + "annotation": "Add values. Divide by count." + } + } + ] + }, + { + "id": "slide-04-quote-image", + "startTimeSec": 7.2, + "endTimeSec": 8.8, + "displayMode": "fullscreen", + "glitchSlides": [ + { + "id": "slide-04-a", + "score": 0.8, + "componentKey": "QuoteImage", + "authorName": "Luca", + "orientation": "any", + "props": { + "eyebrow": "Narrative framing", + "quote": "People live inside stress, not averages.", + "attribution": "Draft note", + "imageSrc": "https://images.unsplash.com/photo-1516321497487-e288fb19713f?auto=format&fit=crop&w=1200&q=80", + "imageAlt": "Hands gesturing over a tablet", + "imagePosition": "right" + } + } + ] + }, + { + "id": "slide-05-chart-single", + "startTimeSec": 8.8, + "endTimeSec": 11.2, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-05-a", + "score": 0.78, + "componentKey": "ChartSingle", + "authorName": "Nora", + "orientation": "any", + "props": { + "eyebrow": "Chart single", + "title": "Three signals diverge", + "body": "Growth up. Calm down.", + "points": [ + { "label": "GDP", "value": 76, "color": "#111111" }, + { "label": "Trust", "value": 49, "color": "rgba(17,17,17,0.72)" }, + { "label": "Calm", "value": 33, "color": "rgba(17,17,17,0.48)" } + ] + } + }, + { + "id": "slide-05-b", + "score": 0.61, + "componentKey": "ChartSingle", + "authorName": "Kai", + "orientation": "any", + "props": { + "eyebrow": "Alternate framing", + "title": "Growth hides fragility", + "body": "Same chart. Sharper framing.", + "points": [ + { "label": "Output", "value": 72, "color": "#111111" }, + { "label": "Security", "value": 41, "color": "rgba(17,17,17,0.72)" }, + { "label": "Optimism", "value": 28, "color": "rgba(17,17,17,0.48)" } + ] + } + } + ] + }, + { + "id": "slide-06-process-flow", + "startTimeSec": 11.2, + "endTimeSec": 12.8, + "displayMode": "fullscreen", + "glitchSlides": [ + { + "id": "slide-06-b", + "score": 0.84, + "componentKey": "GlitchComponentFrame", + "authorName": "Voxel Lab", + "orientation": "any", + "interactionMode": "interactive-3d", + "props": { + "header": "Interactive component", + "componentId": "voxel-universe", + "caption": "Rotate the voxel torus and inspect the geometry." + } + }, + { + "id": "slide-06-a", + "score": 0.79, + "componentKey": "ProcessFlow", + "authorName": "Sofia", + "orientation": "any", + "props": { + "eyebrow": "Pipeline", + "title": "How it becomes a Glitch talk", + "steps": [ + "Write the script", + "Record the talk", + "Align slide cues", + "Compare variants" + ] + } + } + ] + }, + { + "id": "slide-07-definition-card", + "startTimeSec": 12.8, + "endTimeSec": 14.4, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-07-a", + "score": 0.83, + "componentKey": "DefinitionCard", + "authorName": "Theo", + "orientation": "any", + "props": { + "eyebrow": "Definition", + "term": "CRYSTALLIZATION", + "definition": "An interactive talk becomes a fixed video.", + "example": "Same source. Cleaner final cut." + } + } + ] + }, + { + "id": "slide-08-square-video", + "startTimeSec": 14.4, + "endTimeSec": 17.2, + "displayMode": "square", + "glitchSlides": [ + { + "id": "slide-08-a", + "score": 0.88, + "componentKey": "SquareVideo", + "authorName": "Clip Forge", + "orientation": "any", + "props": { + "header": "SQUARE VIDEO TEST", + "videoSrc": "http://localhost:9000/glitch-university/assets/video/1774943368113-c61afb5d-17555904-hd_1080_1920_30fps.mp4" + } + } + ] + }, + { + "id": "slide-09-fullscreen-video", + "startTimeSec": 17.2, + "endTimeSec": 20, + "displayMode": "fullscreen", + "glitchSlides": [ + { + "id": "slide-09-a", + "score": 0.9, + "componentKey": "FullscreenVideo", + "authorName": "Orbit Studio", + "orientation": "any", + "props": { + "header": "FULLSCREEN VIDEO TEST", + "videoSrc": "http://localhost:9000/glitch-university/assets/video/1774943368170-543f54fe-CGI_Animation_Of_Space.mp4", + "caption": "Fullscreen video test caption." + } + } + ] + }, + { + "id": "slide-10-fullscreen-video-center-caption", + "startTimeSec": 20, + "displayMode": "fullscreen", + "glitchSlides": [ + { + "id": "slide-10-a", + "score": 0.92, + "componentKey": "FullscreenVideoCenterCaption", + "authorName": "Orbit Studio", + "orientation": "any", + "props": { + "caption": "NO NEED TO BE DISCRETE", + "videoSrc": "http://localhost:9000/glitch-university/assets/video/1774943368170-543f54fe-CGI_Animation_Of_Space.mp4" + } + } + ] + } + ] +} diff --git a/scripts/deploy-vendor.mjs b/scripts/deploy-vendor.mjs new file mode 100644 index 0000000..e8bb908 --- /dev/null +++ b/scripts/deploy-vendor.mjs @@ -0,0 +1,96 @@ +import { copyFileSync, existsSync, mkdirSync } from "node:fs"; +import { dirname, resolve } from "node:path"; +import { fileURLToPath } from "node:url"; +import { spawnSync } from "node:child_process"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); +const repoRoot = resolve(__dirname, ".."); + +const sourceDir = resolve(repoRoot, "dist/vendor"); +const sourceFiles = ["gnommoplayer.js", "gnommoplayer.css"]; + +const targets = { + editor: resolve(repoRoot, "../gnommoeditor/src/vendor/gnommoplayer"), + web: resolve(repoRoot, "../gnommoweb/src/vendor/gnommoplayer"), +}; + +function printUsage() { + console.log(`Usage: + node scripts/deploy-vendor.mjs [--skip-build] + +Examples: + node scripts/deploy-vendor.mjs editor + node scripts/deploy-vendor.mjs web + node scripts/deploy-vendor.mjs all + node scripts/deploy-vendor.mjs all --skip-build`); +} + +function ensureBuild() { + const result = spawnSync("npm", ["run", "build:lib"], { + cwd: repoRoot, + stdio: "inherit", + shell: process.platform === "win32", + }); + + if (result.status !== 0) { + process.exit(result.status ?? 1); + } +} + +function ensureArtifactsExist() { + for (const fileName of sourceFiles) { + const filePath = resolve(sourceDir, fileName); + if (!existsSync(filePath)) { + console.error(`Missing build artifact: ${filePath}`); + console.error("Run `npm run build:lib` first or omit `--skip-build`."); + process.exit(1); + } + } +} + +function deployTarget(targetName) { + const destinationDir = targets[targetName]; + + mkdirSync(destinationDir, { recursive: true }); + + for (const fileName of sourceFiles) { + copyFileSync(resolve(sourceDir, fileName), resolve(destinationDir, fileName)); + } + + console.log(`Deployed GlitchPlayer vendor bundle to ${targetName}:`); + console.log(` ${destinationDir}`); +} + +const args = process.argv.slice(2); +const shouldSkipBuild = args.includes("--skip-build"); +const filteredArgs = args.filter((arg) => arg !== "--skip-build"); +const requestedTarget = filteredArgs[0] ?? "all"; + +if (requestedTarget === "--help" || requestedTarget === "-h") { + printUsage(); + process.exit(0); +} + +const selectedTargets = + requestedTarget === "all" + ? Object.keys(targets) + : requestedTarget in targets + ? [requestedTarget] + : null; + +if (!selectedTargets) { + console.error(`Unknown deployment target: ${requestedTarget}`); + printUsage(); + process.exit(1); +} + +if (!shouldSkipBuild) { + ensureBuild(); +} + +ensureArtifactsExist(); + +for (const targetName of selectedTargets) { + deployTarget(targetName); +} diff --git a/slide-preview-integration.md b/slide-preview-integration.md new file mode 100644 index 0000000..1334ad0 --- /dev/null +++ b/slide-preview-integration.md @@ -0,0 +1,292 @@ +# Slide Preview Integration Guide + +This guide is for integrating an authoritative slide preview into another React + Vite UI, using the real `GlitchPlayer` runtime rather than a custom thumbnail or placeholder renderer. + +## Goal + +When the editor user selects a slide, the preview should be: + +- the real `GlitchPlayer` +- moved to the selected slide +- paused on that slide +- rendered with the same layout, video, timing, and slide runtime as the final presentation + +This is the correct preview surface when fidelity matters more than efficiency. + +## Use This, Not A Custom Thumbnail + +For the main preview panel: + +- use `GlitchPlayer` +- with `mode="slide-preview"` +- and `targetSlideId` + +Do not use: + +- `GlitchSlideThumbnail` +- `GlitchSlideRenderer` +- a hand-built editor preview + +Those are useful for slide lists and lightweight surfaces, but not for the authoritative preview. + +## Built Files To Consume + +If the integration agent is only allowed to fetch built artifacts from this repo, use: + +- [dist/vendor/gnommoplayer.js](/Users/jenstandstad/Projects/gnommoplayer/dist/vendor/gnommoplayer.js) +- [dist/vendor/gnommoplayer.css](/Users/jenstandstad/Projects/gnommoplayer/dist/vendor/gnommoplayer.css) + +Build them with: + +```bash +npm run build +``` + +That command now produces both the demo app build and the vendor bundle. + +## What To Import + +From `gnommoplayer.js`, the preview integration should import: + +- `GlitchPlayer` +- `defaultSlideRegistry` + +From `gnommoplayer.css`, import the player stylesheet once near the app root. + +Example: + +```tsx +import "../vendor/gnommoplayer/gnommoplayer.css"; +import { + GlitchPlayer, + defaultSlideRegistry, +} from "../vendor/gnommoplayer/gnommoplayer.js"; +``` + +## Required Data + +The preview must receive a full presentation object, not just one slide. + +That presentation should include: + +- `id` +- `title` +- `version` +- `durationSec` +- `segments` +- `slides` + +Why: + +- the player needs the full timeline +- the player needs the talking-head video segments +- the player derives the active slide from presentation timing +- the player must match the final runtime, not a simplified editor view + +## Preview Contract + +The preview panel should render the player like this: + +```tsx + +``` + +Behavior of this mode: + +- the player jumps to the targeted slide’s `startTimeSec` +- playback starts paused +- the real player UI and layout are used +- the talking-head video is still part of the runtime surface + +## Recommended Host Component + +The host app should wrap this in a dedicated preview component. + +Example: + +```tsx +import { useEffect, useState } from "react"; +import "../vendor/gnommoplayer/gnommoplayer.css"; +import { + GlitchPlayer, + defaultSlideRegistry, +} from "../vendor/gnommoplayer/gnommoplayer.js"; + +export function SlidePreviewPanel({ + presentationId, + selectedSlideId, +}: { + presentationId: string; + selectedSlideId: string | null; +}) { + const [presentation, setPresentation] = useState(null); + const [error, setError] = useState(null); + + useEffect(() => { + let cancelled = false; + + fetch(`/api/videos/${presentationId}/export`) + .then((response) => { + if (!response.ok) { + throw new Error(`Preview fetch failed: ${response.status}`); + } + + return response.json(); + }) + .then((data) => { + if (!cancelled) { + setPresentation(data); + setError(null); + } + }) + .catch((caughtError) => { + if (!cancelled) { + setError(String(caughtError)); + } + }); + + return () => { + cancelled = true; + }; + }, [presentationId]); + + if (error) { + return
Preview error: {error}
; + } + + if (!presentation || !selectedSlideId) { + return
Select a slide to preview.
; + } + + return ( +
+ +
+ ); +} +``` + +## How The Editor Should Drive It + +The editor should keep one piece of selection state: + +- `selectedSlideId` + +When the user clicks a slide in the editor: + +1. update `selectedSlideId` +2. keep the same `presentation` +3. re-render `GlitchPlayer` with the new `targetSlideId` + +That is enough for the player to move to the correct slide. + +## Important Implementation Notes + +### 1. Use The Full Presentation + +Do not try to construct a fake one-slide presentation for preview. + +That creates drift in: + +- timing +- fullscreen transitions +- video positioning +- segment masking +- variant behavior + +The preview should be the real timeline. + +### 2. It Is Fine If The Video Loads Again + +That is an acceptable tradeoff for now. + +The goal of the editor preview is correctness: + +- same player +- same slide runtime +- same layout + +Not maximum efficiency. + +### 3. Keep Thumbnails Separate + +This preview guide is only for the main preview panel. + +For slide list cards: + +- `GlitchSlideThumbnail` is still appropriate + +For the large “truth” preview: + +- use `GlitchPlayer` + +### 4. Prefer Stable Slide Ids + +The editor should pass a stable `selectedSlideId`, ideally the same id used in the exported presentation payload. + +The preview mechanism depends on exact id matching: + +```tsx +targetSlideId={selectedSlideId} +``` + +### 5. Do Not Replace The Player’s Internal Registry Logic + +Use: + +```tsx +slideRegistry={defaultSlideRegistry} +``` + +unless the host intentionally provides a superset registry. + +The preview should not invent its own runtime component resolution. + +## When To Use `GlitchSlideThumbnail` Instead + +Use `GlitchSlideThumbnail` only for: + +- slide list rows +- compact cards +- mini previews in inspector sidebars + +Do not use it as a substitute for the main preview panel. + +## Recommended Replacement Strategy + +If the current editor preview is “kind of not working,” replace it with this sequence: + +1. Keep the slide list as-is for now +2. Remove the custom preview widget +3. Add a dedicated preview panel component +4. Fetch the full exported presentation JSON +5. Render: + +```tsx + +``` + +That gives you a preview surface that is as close to final runtime as possible. + +## Short Handoff Note + +If you need the shortest possible instruction for the other agent, use this: + +Use the real player for slide preview, not the thumbnail renderer. Import `GlitchPlayer` and `defaultSlideRegistry` from `dist/vendor/gnommoplayer.js`, import `dist/vendor/gnommoplayer.css`, fetch the full presentation JSON, and render `GlitchPlayer` with `mode="slide-preview"` and `targetSlideId={selectedSlideId}`. diff --git a/slide-template-guidelines.md b/slide-template-guidelines.md new file mode 100644 index 0000000..6a73a0c --- /dev/null +++ b/slide-template-guidelines.md @@ -0,0 +1,247 @@ +# Slide Template Guidelines + +This note gives a short “when to use it” rule for each supported GlitchPlayer slide template. + +The purpose is to help: + +- human authors +- AI slide agents +- editor integrations + +pick the simplest effective template for a given explanation beat. + +## General Rule + +Slides should not repeat the script. + +A slide should do one job: + +- show a visual +- define a term +- highlight a contrast +- embed an interaction +- frame a quote +- focus attention on one equation + +If a slide is trying to do more than one of those at once, it is probably the wrong template. + +## Supported Templates + +## `SquareYellow` + +Use when: + +- one image does most of the work +- you need a short strong header +- the talking head should stay visible beside or below the slide + +Good for: + +- mood +- framing +- one clear visual metaphor + +Avoid when: + +- the idea needs more than one sentence +- the viewer needs to compare two things +- the slide is mainly about numbers or interaction + +## `FullscreenSplit` + +Use when: + +- one image and one short text block should share attention +- you want a clean fullscreen transition +- you need to conceal a segment seam under the slide + +Good for: + +- contrast +- one visual plus one claim +- scene-setting slides + +Avoid when: + +- the text starts turning into a paragraph +- the image is decorative rather than explanatory + +## `EquationFocus` + +Use when: + +- one equation is the main thing the viewer should understand +- the script is defining a formula or symbolic relationship + +Good for: + +- definitions +- identities +- simple derivation checkpoints + +Authoring rule: + +- keep the header short +- keep the title short +- use one LaTeX expression only +- annotation should explain the equation in plain language + +Avoid when: + +- you need to compare two equations +- the expression is too large or multi-step + +## `QuoteImage` + +Use when: + +- a quote is the slide +- the image is there to support emotional or contextual framing + +Good for: + +- rhetorical emphasis +- historical voice +- strong claims + +Avoid when: + +- the quote is longer than the viewer can absorb quickly +- the image is carrying a second unrelated message + +## `ChartSingle` + +Use when: + +- one compact chart tells the story +- you are comparing a few values +- the script needs one clean quantitative contrast + +Good for: + +- 3 to 5 bars +- one pattern +- one takeaway + +Authoring rule: + +- use a short header +- keep the title direct +- body is optional and should be brief +- label names should be short + +Avoid when: + +- the viewer needs to inspect lots of data +- the chart needs axes, legends, or technical notation to make sense + +## `ProcessFlow` + +Use when: + +- the script is describing a pipeline or mechanism +- the viewer needs sequence, not comparison + +Good for: + +- 3 to 5 steps +- causal flow +- product/process explanations + +Avoid when: + +- the steps are too wordy +- the process is branching or deeply conditional + +## `DefinitionCard` + +Use when: + +- the job of the slide is to define one concept +- the audience needs a crisp shared term before moving on + +Good for: + +- vocabulary +- named concepts +- framing a new abstraction + +Authoring rule: + +- header is context +- term is the anchor +- definition is plain language +- example is concrete + +Avoid when: + +- the concept needs a diagram more than text + +## `GlitchComponentFrame` + +Use when: + +- the explanation becomes clearer if the viewer can manipulate the model directly +- the slide should host a real interactive Glitch component +- the script benefits from 3D, simulation, or hands-on exploration + +Good for: + +- 3D scenes +- parameterized simulations +- interactive paradoxes +- exploratory visual models + +This template is intended for hosted Glitch components, not static images. + +Current contract: + +- `header` +- `componentId` +- `componentUrl` +- `caption` + +Current runtime model: + +- the slide embeds the component in an `iframe` +- the component is expected to be hosted independently +- if `componentUrl` is omitted, the player resolves a default path from: + - `VITE_GLITCH_COMPONENT_BASE_URL` + - the convention `glitch_${componentId.replace(/-/g, "_")}` + - and targets that component's `index.html` +- the player treats it as an interactive surface + +Guidelines: + +- use this only when interaction adds real explanatory value +- prefer a stable hosted URL or a stable `public/glitch/...` deployment path +- keep the header short +- caption should explain what the viewer should try or notice +- assume the component itself provides the deeper interaction + +Avoid when: + +- a static image would do the job +- the component is still too unstable to embed +- the interaction is not tied to the narrated idea + +## Choosing Between Static And Interactive + +Default to a static template first. + +Use `GlitchComponentFrame` only if at least one of these is true: + +- the viewer learns by manipulating parameters +- the shape, motion, or geometry matters +- the explanation is weaker as a static image +- the component can stand on its own as a small exploratory object + +If not, use: + +- `SquareYellow` +- `FullscreenSplit` +- `ChartSingle` +- `EquationFocus` +- `DefinitionCard` + +Those will usually produce a cleaner lecture. diff --git a/src/App.tsx b/src/App.tsx new file mode 100644 index 0000000..687d2a5 --- /dev/null +++ b/src/App.tsx @@ -0,0 +1,113 @@ +import { useCallback, useEffect, useState } from "react"; +import { + fetchPresentationById, + getPlayerModeFromLocation, + getPresentationIdFromLocation, + getTargetSlideIdFromLocation +} from "./lib/presentationApi"; +import { + GlitchPlayer, + createSessionId, + defaultSlideRegistry +} from "./player"; +import { mockVoteApi } from "./lib/voteApi"; +import type { VoteRequest } from "./types/events"; +import type { PresentationDefinition } from "./types/lecture"; + +export default function App() { + const [presentationId] = useState(() => getPresentationIdFromLocation()); + const [playerMode] = useState(() => getPlayerModeFromLocation()); + const [targetSlideId] = useState(() => getTargetSlideIdFromLocation()); + const [presentation, setPresentation] = useState( + null + ); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const [sessionId] = useState(() => createSessionId()); + + const handleVoteCommit = useCallback( + async (vote: VoteRequest) => { + if (!presentation) { + return; + } + + await mockVoteApi(presentation.id, vote); + }, + [presentation] + ); + + useEffect(() => { + let cancelled = false; + + fetchPresentationById(presentationId) + .then((loadedPresentation) => { + if (cancelled) { + return; + } + + setPresentation(loadedPresentation); + }) + .catch((caughtError: unknown) => { + if (cancelled) { + return; + } + + setError( + caughtError instanceof Error + ? caughtError.message + : "Could not load presentation fixture." + ); + }) + .finally(() => { + if (!cancelled) { + setLoading(false); + } + }); + + return () => { + cancelled = true; + }; + }, [presentationId]); + + if (loading) { + return ( +
+
+

Loading

+

Glitch Presentation Layer POC

+

+ Fetching presentation {presentationId} from the mock + API and warming the player shell. +

+
+
+ ); + } + + if (error || !presentation) { + return ( +
+
+

Load failure

+

Glitch Presentation Layer POC

+

{error ?? "Presentation data is unavailable."}

+
+
+ ); + } + + return ( +
+
+ +
+
+ ); +} diff --git a/src/components/EventLogPanel.tsx b/src/components/EventLogPanel.tsx new file mode 100644 index 0000000..3ca701b --- /dev/null +++ b/src/components/EventLogPanel.tsx @@ -0,0 +1,64 @@ +import type { ClientEvent, VoteRequest } from "../types/events"; + +interface EventLogPanelProps { + events: ClientEvent[]; + votes: VoteRequest[]; + sessionId: string; +} + +export function EventLogPanel({ + events, + votes, + sessionId +}: EventLogPanelProps) { + return ( +
+
+

Session

+

Runtime signals

+

{sessionId}

+
+ +
+

Recent events

+ {events.length === 0 ? ( +

+ Events will appear here as playback, slide changes, and pauses occur. +

+ ) : ( +
    + {events.map((event, index) => ( +
  • + {event.type} + {JSON.stringify(event)} +
    • + ))} +
+ )} +
+ +
+

Committed votes

+ {votes.length === 0 ? ( +

+ Resume after switching a candidate to record a vote. +

+ ) : ( +
    + {votes.map((vote) => ( +
  • + {vote.slideId} + + {vote.previousGlitchSlideId} -> {vote.selectedGlitchSlideId} + +
    • + ))} +
+ )} +
+
+ ); +} diff --git a/src/components/GlitchSlideCarousel.test.tsx b/src/components/GlitchSlideCarousel.test.tsx new file mode 100644 index 0000000..a60637a --- /dev/null +++ b/src/components/GlitchSlideCarousel.test.tsx @@ -0,0 +1,45 @@ +import { render, screen } from "@testing-library/react"; +import { GlitchSlideCarousel } from "./GlitchSlideCarousel"; +import type { GlitchSlide } from "../types/lecture"; + +const candidates: GlitchSlide[] = [ + { + id: "slide-a", + score: 0.9, + componentKey: "SquareYellow", + authorName: "Ada", + props: { + header: "A", + imageSrc: "/a.jpg", + imageAlt: "A" + } + }, + { + id: "slide-b", + score: 0.7, + componentKey: "SquareYellow", + authorName: "Ben", + props: { + header: "B", + imageSrc: "/b.jpg", + imageAlt: "B" + } + } +]; + +describe("GlitchSlideCarousel", () => { + it("shows the active candidate author in inspect mode", () => { + render( + + ); + + expect(screen.getByText("By Ben")).toBeInTheDocument(); + }); +}); diff --git a/src/components/GlitchSlideCarousel.tsx b/src/components/GlitchSlideCarousel.tsx new file mode 100644 index 0000000..855ca6e --- /dev/null +++ b/src/components/GlitchSlideCarousel.tsx @@ -0,0 +1,74 @@ +import { getBrowseAxis } from "../lib/gestureController"; +import type { GlitchSlide, Slide } from "../types/lecture"; +import type { ViewportMode } from "../types/player"; + +interface GlitchSlideCarouselProps { + candidates: GlitchSlide[]; + displayMode: Slide["displayMode"]; + activeGlitchSlide: GlitchSlide; + isInspecting: boolean; + isDragging: boolean; + viewportMode: ViewportMode; +} + +export function GlitchSlideCarousel({ + candidates, + displayMode, + activeGlitchSlide, + isInspecting, + isDragging, + viewportMode +}: GlitchSlideCarouselProps) { + if (candidates.length <= 1) { + return null; + } + + const activeIndex = candidates.findIndex( + (candidate) => candidate.id === activeGlitchSlide.id + ); + const browseAxis = getBrowseAxis(viewportMode); + + + return ( +
+ + +
+ {candidates.map((candidate, index) => ( + + {index + 1} + + ))} +
+ + {isInspecting ? ( +
+
+ {displayMode === "fullscreen" ? "Fullscreen" : "Square"} + {isDragging ? "Browsing alternates" : "Inspecting"} +
+ + {activeGlitchSlide.authorName ? ( +

By {activeGlitchSlide.authorName}

+ ) : null} + +
+ {activeGlitchSlide.id} + + {activeIndex + 1}/{candidates.length} + +
+
+ ) : null} +
+ ); +} diff --git a/src/components/GlitchSlideRenderer.test.tsx b/src/components/GlitchSlideRenderer.test.tsx new file mode 100644 index 0000000..8887e00 --- /dev/null +++ b/src/components/GlitchSlideRenderer.test.tsx @@ -0,0 +1,127 @@ +import { render, screen } from "@testing-library/react"; +import { GlitchSlideRenderer } from "./GlitchSlideRenderer"; +import { GlitchSlideThumbnail } from "./GlitchSlideThumbnail"; +import type { + Slide, + SlideRegistry, + SlideRuntimeProps +} from "../types/lecture"; + +const registry: SlideRegistry = { + EquationFocus: async () => ({ + default: function MockEquationSlide({ glitchSlideId }: SlideRuntimeProps) { + return
{glitchSlideId}
; + } + }), + SquareYellow: async () => ({ + default: function MockSquareSlide({ glitchSlideId }: SlideRuntimeProps) { + return
{glitchSlideId}
; + } + }) +}; + +describe("GlitchSlideRenderer", () => { + it("renders the viewport-compatible candidate for the requested mode", async () => { + const slide: Slide = { + id: "slide-1", + startTimeSec: 0, + displayMode: "fullscreen", + glitchSlides: [ + { + id: "slide-1-desktop", + score: 0.5, + componentKey: "EquationFocus", + props: { title: "Desktop" }, + orientation: "desktop" + }, + { + id: "slide-1-portrait", + score: 0.9, + componentKey: "EquationFocus", + props: { title: "Portrait" }, + orientation: "mobile-portrait" + } + ] + }; + + render( + + ); + + expect(await screen.findByText("slide-1-portrait")).toBeInTheDocument(); + }); + + it("respects a preferred glitch slide id when it is compatible", async () => { + const slide: Slide = { + id: "slide-2", + startTimeSec: 0, + displayMode: "fullscreen", + glitchSlides: [ + { + id: "slide-2-a", + score: 0.95, + componentKey: "EquationFocus", + props: { title: "A" }, + orientation: "desktop" + }, + { + id: "slide-2-b", + score: 0.1, + componentKey: "EquationFocus", + props: { title: "B" }, + orientation: "desktop" + } + ] + }; + + render( + + ); + + expect(await screen.findByText("slide-2-b")).toBeInTheDocument(); + }); +}); + +describe("GlitchSlideThumbnail", () => { + it("shows the square-slide header above the thumbnail surface", async () => { + const slide: Slide = { + id: "slide-3", + startTimeSec: 0, + displayMode: "square", + glitchSlides: [ + { + id: "slide-3-a", + score: 0.7, + componentKey: "SquareYellow", + props: { + header: "Mean", + imageSrc: "/mean.png", + imageAlt: "Mean" + } + } + ] + }; + + render( + + ); + + expect(screen.getByText("Mean")).toBeInTheDocument(); + expect(await screen.findByText("slide-3-a")).toBeInTheDocument(); + }); +}); diff --git a/src/components/GlitchSlideRenderer.tsx b/src/components/GlitchSlideRenderer.tsx new file mode 100644 index 0000000..9baafe7 --- /dev/null +++ b/src/components/GlitchSlideRenderer.tsx @@ -0,0 +1,74 @@ +import { LoadedGlitchSlide } from "./LoadedGlitchSlide"; +import { FallbackSlide } from "../slides/FallbackSlide"; +import { getActiveGlitchSlide, getCompatibleGlitchSlides } from "../lib/timeline"; +import type { SlideRegistry, Slide } from "../types/lecture"; +import type { ViewportMode } from "../types/player"; + +export interface GlitchSlideRendererProps { + presentationId: string; + slide: Slide; + slideRegistry: SlideRegistry; + viewportMode?: ViewportMode; + preferredGlitchSlideId?: string; + paused?: boolean; + className?: string; +} + +export function GlitchSlideRenderer({ + presentationId, + slide, + slideRegistry, + viewportMode = "desktop", + preferredGlitchSlideId, + paused = true, + className +}: GlitchSlideRendererProps) { + const compatibleGlitchSlides = getCompatibleGlitchSlides(slide, viewportMode); + const glitchSlide = getActiveGlitchSlide( + slide, + viewportMode, + preferredGlitchSlideId + ); + + if (!glitchSlide || compatibleGlitchSlides.length === 0) { + return ( +
+
+ +
+
+ ); + } + + return ( +
+
+ +
+
+ ); +} diff --git a/src/components/GlitchSlideThumbnail.tsx b/src/components/GlitchSlideThumbnail.tsx new file mode 100644 index 0000000..3d12da9 --- /dev/null +++ b/src/components/GlitchSlideThumbnail.tsx @@ -0,0 +1,64 @@ +import { GlitchSlideRenderer } from "./GlitchSlideRenderer"; +import { getActiveGlitchSlide } from "../lib/timeline"; +import type { Slide, SlideRegistry } from "../types/lecture"; +import type { ViewportMode } from "../types/player"; + +export interface GlitchSlideThumbnailProps { + presentationId: string; + slide: Slide; + slideRegistry: SlideRegistry; + viewportMode?: ViewportMode; + preferredGlitchSlideId?: string; + className?: string; + showSquareHeader?: boolean; +} + +export function GlitchSlideThumbnail({ + presentationId, + slide, + slideRegistry, + viewportMode = "desktop", + preferredGlitchSlideId, + className, + showSquareHeader = true +}: GlitchSlideThumbnailProps) { + const activeGlitchSlide = getActiveGlitchSlide( + slide, + viewportMode, + preferredGlitchSlideId + ); + const squareHeader = + showSquareHeader && + slide.displayMode === "square" && + activeGlitchSlide?.componentKey === "SquareYellow" && + typeof (activeGlitchSlide.props as { header?: unknown }).header === "string" + ? String((activeGlitchSlide.props as { header: string }).header) + : null; + + return ( +
+ {squareHeader ? ( +
{squareHeader}
+ ) : null} +
+ +
+
+ ); +} diff --git a/src/components/LecturePlayer.test.tsx b/src/components/LecturePlayer.test.tsx new file mode 100644 index 0000000..33bc9b6 --- /dev/null +++ b/src/components/LecturePlayer.test.tsx @@ -0,0 +1,328 @@ +import { fireEvent, render, screen } from "@testing-library/react"; +import { GlitchPlayer } from "./LecturePlayer"; +import type { + PresentationDefinition, + SlideRegistry, + SlideRuntimeProps +} from "../types/lecture"; + +const registry: SlideRegistry = { + SquareYellow: async () => ({ + default: function MockSlide({ glitchSlideId }: SlideRuntimeProps) { + return
{glitchSlideId}
; + } + }) +}; + +const presentationFixture: PresentationDefinition = { + id: "lecture-test", + title: "Lecture test", + version: "0.1.0", + durationSec: 4, + segments: [ + { id: "seg-1", src: "/seg-1.mp4", startTimeSec: 0, durationSec: 4 } + ], + slides: [ + { + id: "slide-1", + startTimeSec: 0, + displayMode: "fullscreen", + glitchSlides: [ + { + id: "slide-1-a", + score: 0.7, + componentKey: "SquareYellow", + props: { + header: "TEST", + imageSrc: "/test.png", + imageAlt: "Test" + } + } + ] + } + ] +}; + +const targetedPresentationFixture: PresentationDefinition = { + id: "presentation-target-test", + title: "Targeted slide preview", + version: "0.1.0", + durationSec: 6, + segments: [ + { id: "seg-1", src: "/seg-1.mp4", startTimeSec: 0, durationSec: 6 } + ], + slides: [ + { + id: "slide-1", + startTimeSec: 0, + endTimeSec: 2, + displayMode: "square", + glitchSlides: [ + { + id: "slide-1-a", + score: 0.7, + componentKey: "SquareYellow", + props: { + header: "TEST", + imageSrc: "/test.png", + imageAlt: "Test" + } + } + ] + }, + { + id: "slide-2", + startTimeSec: 2, + displayMode: "square", + glitchSlides: [ + { + id: "slide-2-a", + score: 0.9, + componentKey: "SquareYellow", + props: { + header: "TEST", + imageSrc: "/test.png", + imageAlt: "Test" + } + } + ] + } + ] +}; + +const boundaryPresentationFixture: PresentationDefinition = { + id: "presentation-boundary-test", + title: "Boundary marker test", + version: "0.1.0", + durationSec: 9.6, + segments: [ + { id: "seg-1", src: "/seg-1.mp4", startTimeSec: 0, durationSec: 9.6 } + ], + slides: [ + { + id: "slide-1", + startTimeSec: 0, + endTimeSec: 3.2, + displayMode: "square", + glitchSlides: [ + { + id: "slide-1-a", + score: 0.7, + componentKey: "SquareYellow", + props: { + header: "ONE", + imageSrc: "/one.png", + imageAlt: "One" + } + } + ] + }, + { + id: "slide-2", + startTimeSec: 3.2, + endTimeSec: 4.8, + displayMode: "fullscreen", + glitchSlides: [ + { + id: "slide-2-a", + score: 0.8, + componentKey: "SquareYellow", + props: { + header: "TWO", + imageSrc: "/two.png", + imageAlt: "Two" + } + } + ] + }, + { + id: "slide-3", + startTimeSec: 4.8, + endTimeSec: 7.2, + displayMode: "square", + glitchSlides: [ + { + id: "slide-3-a", + score: 0.9, + componentKey: "SquareYellow", + props: { + header: "THREE", + imageSrc: "/three.png", + imageAlt: "Three" + } + } + ] + } + ] +}; + +const untimedPresentationFixture: PresentationDefinition = { + id: "presentation-untimed-test", + title: "Untimed slide preview", + version: "0.1.0", + durationSec: 6, + segments: [ + { id: "seg-1", src: "/seg-1.mp4", startTimeSec: 0, durationSec: 6 } + ], + slides: [ + { + id: "slide-untimed-1", + startTimeSec: null, + displayMode: "square", + glitchSlides: [ + { + id: "slide-untimed-1-a", + score: 0.7, + componentKey: "SquareYellow", + props: { + header: "ONE", + imageSrc: "/one.png", + imageAlt: "One" + } + } + ] + }, + { + id: "slide-untimed-2", + startTimeSec: null, + displayMode: "fullscreen", + glitchSlides: [ + { + id: "slide-untimed-2-a", + score: 0.9, + componentKey: "SquareYellow", + props: { + header: "TWO", + imageSrc: "/two.png", + imageAlt: "Two" + } + } + ] + } + ] +}; + +describe("GlitchPlayer", () => { + it("renders fullscreen slide mode when the active slide requires it", async () => { + render( + + ); + + expect(await screen.findByTestId("slide-host-fullscreen")).toBeInTheDocument(); + }); + + it("opens vote overlay when tapping a fullscreen slide", async () => { + render( + + ); + + const slideHost = await screen.findByTestId("slide-host-fullscreen"); + const gestureLayer = slideHost.closest(".lecture-player__gesture-layer"); + + expect(gestureLayer).not.toBeNull(); + + fireEvent.pointerDown(gestureLayer as Element, { + pointerId: 1, + clientX: 40, + clientY: 40 + }); + fireEvent.pointerUp(gestureLayer as Element, { + pointerId: 1, + clientX: 40, + clientY: 40 + }); + + expect( + await screen.findByRole("dialog", { name: "Vote on slide" }) + ).toBeInTheDocument(); + }); + + it("can start in slide preview mode on a targeted slide", async () => { + render( + + ); + + expect(await screen.findByText("slide-2-a")).toBeInTheDocument(); + }); + + it("can start in slide preview mode on an untimed slide index", async () => { + render( + + ); + + expect(await screen.findByText("slide-untimed-2-a")).toBeInTheDocument(); + }); + + it("stays paused after timeline scrubbing ends", async () => { + render( + + ); + + const scrubber = await screen.findByLabelText("Lecture timeline"); + + fireEvent.pointerDown(scrubber, { pointerId: 1 }); + fireEvent.change(scrubber, { target: { value: "2" } }); + fireEvent.pointerUp(scrubber, { pointerId: 1 }); + + expect( + await screen.findByRole("button", { name: "Resume playback" }) + ).toBeInTheDocument(); + }); + + it("jumps to a slide when clicking its timeline marker", async () => { + render( + + ); + + fireEvent.click(await screen.findByRole("button", { name: "S2" })); + + expect(await screen.findByText("slide-2-a")).toBeInTheDocument(); + expect( + await screen.findByRole("button", { name: "Resume playback" }) + ).toBeInTheDocument(); + }); + + it("selects the later boundary slide immediately when clicking consecutive markers", async () => { + render( + + ); + + fireEvent.pointerDown(await screen.findByRole("button", { name: "S2" })); + expect(await screen.findByText("slide-2-a")).toBeInTheDocument(); + + fireEvent.pointerDown(await screen.findByRole("button", { name: "S3" })); + expect(await screen.findByText("slide-3-a")).toBeInTheDocument(); + }); +}); diff --git a/src/components/LecturePlayer.tsx b/src/components/LecturePlayer.tsx new file mode 100644 index 0000000..39e732c --- /dev/null +++ b/src/components/LecturePlayer.tsx @@ -0,0 +1,1121 @@ +import { useEffect, useRef, useState, type CSSProperties } from "react"; +import { GlitchSlideCarousel } from "./GlitchSlideCarousel"; +import { PlayResumeControl } from "./PlayResumeControl"; +import { SlideOverlayHost } from "./SlideOverlayHost"; +import { VideoSkeletonPlayer } from "./VideoSkeletonPlayer"; +import { + computeCandidateIndex, + getBrowseAxis, + hasSelectionChanged +} from "../lib/gestureController"; +import { emitClientEvent } from "../lib/eventLogger"; +import { preloadSlideModules } from "../lib/slideRegistry"; +import { + preloadVideoSegment, + preloadVideoSegments +} from "../lib/videoPreload"; +import { + clampGlobalTime, + getActiveGlitchSlide, + getActiveSegment, + getActiveSlide, + getCompatibleGlitchSlides, + getNextSegment, + getUpcomingSlides +} from "../lib/timeline"; +import { createDeviceContext } from "../lib/voteApi"; +import type { ClientEvent, VoteDirection, VoteRequest } from "../types/events"; +import type { PresentationDefinition, SlideRegistry } from "../types/lecture"; +import type { + GlitchPlayerMode, + PauseMode, + PendingVote, + ViewportMode +} from "../types/player"; + +export interface GlitchPlayerProps { + presentation: PresentationDefinition; + slideRegistry: SlideRegistry; + mode?: GlitchPlayerMode; + targetSlideId?: string; + targetSlideIndex?: number; + onEvent?: (event: ClientEvent) => void; + onVoteCommit?: (vote: VoteRequest) => Promise | void; + initialSessionId?: string; +} + +interface ScrubState { + isScrubbing: boolean; + previewTimeSec: number; + resumeWasManuallyPaused: boolean; +} + +interface InteractionState { + pointerId: number | null; + startX: number; + startY: number; + dragSpan: number; + dragOffsetPx: number; + isSettling: boolean; + resumeWasManuallyPaused: boolean; + baselineGlitchSlideId: string | null; + previewGlitchSlideId: string | null; +} + +const SETTLE_DURATION_MS = 220; +const CHROME_HIDE_DELAY_MS = 1600; + +function getOverrideKey(slideId: string, viewportMode: ViewportMode) { + return `${slideId}:${viewportMode}`; +} + +function getViewportMode(width: number, height: number): ViewportMode { + if (width <= 900) { + return height >= width ? "mobile-portrait" : "mobile-landscape"; + } + + return "desktop"; +} + +function formatClockTime(totalSeconds: number) { + const clamped = Math.max(0, Math.floor(totalSeconds)); + const minutes = Math.floor(clamped / 60); + const seconds = clamped % 60; + return `${minutes}:${seconds.toString().padStart(2, "0")}`; +} + +function getTargetSlideStartTime( + presentation: PresentationDefinition, + targetSlideId?: string, + targetSlideIndex?: number +) { + const targetSlide = getTargetSlide( + presentation, + targetSlideId, + targetSlideIndex + ); + + if (!targetSlide || targetSlide.startTimeSec == null) { + return 0; + } + + return targetSlide.startTimeSec; +} + +function getTargetSlide( + presentation: PresentationDefinition, + targetSlideId?: string, + targetSlideIndex?: number +) { + if (targetSlideId) { + return presentation.slides.find((slide) => slide.id === targetSlideId) ?? null; + } + + if ( + typeof targetSlideIndex === "number" && + targetSlideIndex >= 0 && + targetSlideIndex < presentation.slides.length + ) { + return presentation.slides[targetSlideIndex]; + } + + return null; +} + +export function GlitchPlayer({ + presentation, + slideRegistry, + mode = "playback", + targetSlideId, + targetSlideIndex, + onEvent, + onVoteCommit, + initialSessionId +}: GlitchPlayerProps) { + const lecture = presentation; + const [globalTimeSec, setGlobalTimeSec] = useState(() => + getTargetSlideStartTime(lecture, targetSlideId, targetSlideIndex) + ); + const [isManuallyPaused, setIsManuallyPaused] = useState( + mode === "slide-preview" + ); + const [sessionSlideOverrides, setSessionSlideOverrides] = useState< + Record + >({}); + const [pendingVote, setPendingVote] = useState(null); + const [isVoteOverlayVisible, setIsVoteOverlayVisible] = useState(false); + const [voteChoice, setVoteChoice] = useState(null); + const [isSubmittingVote, setIsSubmittingVote] = useState(false); + const [isDragging, setIsDragging] = useState(false); + const [isSlideMediaBlocking, setIsSlideMediaBlocking] = useState(false); + const [videoError, setVideoError] = useState(null); + const [viewportMode, setViewportMode] = useState(() => + typeof window === "undefined" || typeof document === "undefined" + ? "desktop" + : getViewportMode( + document.documentElement.clientWidth, + document.documentElement.clientHeight + ) + ); + const [sessionId] = useState( + () => initialSessionId ?? `sess-${Math.random().toString(36).slice(2, 10)}` + ); + const [scrubState, setScrubState] = useState({ + isScrubbing: false, + previewTimeSec: 0, + resumeWasManuallyPaused: false + }); + const [interactionState, setInteractionState] = useState({ + pointerId: null, + startX: 0, + startY: 0, + dragSpan: 320, + dragOffsetPx: 0, + isSettling: false, + resumeWasManuallyPaused: false, + baselineGlitchSlideId: null, + previewGlitchSlideId: null + }); + const [isChromeVisible, setIsChromeVisible] = useState(true); + + const rootRef = useRef(null); + const lastSegmentIdRef = useRef(null); + const lastSlideKeyRef = useRef(null); + const autoplayBlockedRef = useRef(false); + const settleTimerRef = useRef(null); + const chromeHideTimerRef = useRef(null); + + const activeSegment = getActiveSegment(lecture.segments, globalTimeSec); + const nextSegment = activeSegment + ? getNextSegment(lecture.segments, activeSegment.id) + : null; + const previewTargetSlide = + mode === "slide-preview" + ? getTargetSlide(lecture, targetSlideId, targetSlideIndex) + : null; + const activeSlide = + previewTargetSlide ?? + getActiveSlide(lecture.slides, globalTimeSec, lecture.durationSec); + const compatibleGlitchSlides = activeSlide + ? getCompatibleGlitchSlides(activeSlide, viewportMode) + : []; + const overrideGlitchSlideId = activeSlide + ? sessionSlideOverrides[getOverrideKey(activeSlide.id, viewportMode)] + : undefined; + const currentResolvedGlitchSlide = activeSlide + ? getActiveGlitchSlide(activeSlide, viewportMode, overrideGlitchSlideId) + : null; + const previewGlitchSlide = activeSlide + ? compatibleGlitchSlides.find( + (candidate) => candidate.id === interactionState.previewGlitchSlideId + ) ?? null + : null; + const activeGlitchSlide = previewGlitchSlide ?? currentResolvedGlitchSlide; + const pauseMode: PauseMode = isManuallyPaused + ? "full-paused" + : scrubState.isScrubbing || + isDragging || + interactionState.isSettling || + isSlideMediaBlocking + ? "soft-paused" + : "playing"; + const displayedTimeSec = scrubState.isScrubbing + ? scrubState.previewTimeSec + : globalTimeSec; + const highlightedSlide = getActiveSlide( + lecture.slides, + displayedTimeSec, + lecture.durationSec + ); + const isInspecting = + isDragging || interactionState.isSettling; + const isChromePinned = + isManuallyPaused || + scrubState.isScrubbing || + isDragging || + interactionState.isSettling; + const shouldShowScrubber = isChromePinned || isChromeVisible; + const isFullscreenSlide = activeSlide?.displayMode === "fullscreen"; + const squareSlideHeader = + activeSlide?.displayMode === "square" && + activeGlitchSlide && + (activeGlitchSlide.componentKey === "SquareYellow" || + activeGlitchSlide.componentKey === "SquareVideo") && + typeof (activeGlitchSlide.props as { header?: unknown }).header === "string" + ? (activeGlitchSlide.props as { header: string }).header + : null; + const userOverrodeCurrentSlide = Boolean( + activeSlide && sessionSlideOverrides[getOverrideKey(activeSlide.id, viewportMode)] + ); + + useEffect(() => { + const rootElement = rootRef.current; + + if (!rootElement || typeof ResizeObserver === "undefined") { + return; + } + + const observer = new ResizeObserver((entries) => { + const entry = entries[0]; + if (!entry) { + return; + } + + setViewportMode( + getViewportMode(entry.contentRect.width, entry.contentRect.height) + ); + }); + + observer.observe(rootElement); + + return () => { + observer.disconnect(); + }; + }, []); + + useEffect(() => { + const targetTimeSec = getTargetSlideStartTime( + lecture, + targetSlideId, + targetSlideIndex + ); + setGlobalTimeSec(targetTimeSec); + setIsManuallyPaused(mode === "slide-preview"); + setIsVoteOverlayVisible(false); + setVoteChoice(null); + setPendingVote(null); + setIsSlideMediaBlocking(false); + }, [lecture.id, lecture.slides, mode, targetSlideId, targetSlideIndex]); + + useEffect(() => { + setIsSlideMediaBlocking(false); + }, [activeSlide?.id, activeGlitchSlide?.id]); + + useEffect(() => { + emitClientEvent(onEvent, { + type: "lecture_loaded", + lectureId: lecture.id + }); + }, [lecture.id, onEvent]); + + useEffect(() => { + if (!activeSegment) { + return; + } + + preloadVideoSegment(activeSegment); + + if (nextSegment) { + preloadVideoSegment(nextSegment); + } + }, [activeSegment, nextSegment]); + + useEffect(() => { + preloadVideoSegments(lecture.segments.slice(0, 2)); + }, [lecture.segments]); + + useEffect(() => { + if (!activeSlide) { + return; + } + + void preloadSlideModules(slideRegistry, [activeSlide]); + + const upcomingSlides = getUpcomingSlides( + lecture.slides, + globalTimeSec, + lecture.durationSec, + 2 + ); + void preloadSlideModules(slideRegistry, upcomingSlides); + }, [activeSlide, globalTimeSec, lecture.durationSec, lecture.slides, slideRegistry]); + + useEffect(() => { + if (!activeSegment) { + lastSegmentIdRef.current = null; + return; + } + + if (lastSegmentIdRef.current !== activeSegment.id) { + lastSegmentIdRef.current = activeSegment.id; + emitClientEvent(onEvent, { + type: "segment_changed", + lectureId: lecture.id, + segmentId: activeSegment.id, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } + }, [activeSegment, globalTimeSec, lecture.id, onEvent]); + + useEffect(() => { + const slideKey = + activeSlide && activeGlitchSlide + ? `${activeSlide.id}:${activeGlitchSlide.id}` + : null; + + if (!slideKey) { + lastSlideKeyRef.current = null; + return; + } + + if (lastSlideKeyRef.current !== slideKey) { + if (activeSlide && activeGlitchSlide) { + emitClientEvent(onEvent, { + type: "slide_activated", + lectureId: lecture.id, + slideId: activeSlide.id, + glitchSlideId: activeGlitchSlide.id, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } + + lastSlideKeyRef.current = slideKey; + } + }, [activeGlitchSlide, activeSlide, globalTimeSec, lecture.id, onEvent]); + + useEffect(() => { + setInteractionState((currentState) => ({ + ...currentState, + dragOffsetPx: 0, + isSettling: false, + baselineGlitchSlideId: currentResolvedGlitchSlide?.id ?? null, + previewGlitchSlideId: null + })); + setIsDragging(false); + }, [activeSlide?.id]); + + useEffect(() => { + if ( + interactionState.pointerId !== null || + interactionState.isSettling || + isDragging + ) { + return; + } + + setInteractionState((currentState) => ({ + ...currentState, + baselineGlitchSlideId: currentResolvedGlitchSlide?.id ?? null, + previewGlitchSlideId: null + })); + }, [ + currentResolvedGlitchSlide?.id, + interactionState.pointerId, + interactionState.isSettling, + isDragging + ]); + + useEffect(() => { + const handleKeyDown = (event: KeyboardEvent) => { + if (event.key !== " " && event.key.toLowerCase() !== "k") { + return; + } + + const activeElement = document.activeElement as HTMLElement | null; + if ( + activeElement && + ["INPUT", "TEXTAREA", "BUTTON"].includes(activeElement.tagName) + ) { + return; + } + + event.preventDefault(); + + if (pauseMode === "playing") { + setIsManuallyPaused(true); + } else { + void handleResume(); + } + }; + + window.addEventListener("keydown", handleKeyDown); + + return () => { + window.removeEventListener("keydown", handleKeyDown); + }; + }, [pauseMode, pendingVote, activeSlide, activeGlitchSlide, globalTimeSec]); + + useEffect(() => { + return () => { + if (settleTimerRef.current !== null) { + window.clearTimeout(settleTimerRef.current); + } + if (chromeHideTimerRef.current !== null) { + window.clearTimeout(chromeHideTimerRef.current); + } + }; + }, []); + + function showChrome() { + setIsChromeVisible(true); + + if (chromeHideTimerRef.current !== null) { + window.clearTimeout(chromeHideTimerRef.current); + chromeHideTimerRef.current = null; + } + + if ( + isManuallyPaused || + scrubState.isScrubbing || + isDragging || + interactionState.isSettling + ) { + return; + } + + chromeHideTimerRef.current = window.setTimeout(() => { + setIsChromeVisible(false); + chromeHideTimerRef.current = null; + }, CHROME_HIDE_DELAY_MS); + } + + useEffect(() => { + showChrome(); + }, [isManuallyPaused, scrubState.isScrubbing, isDragging, interactionState.isSettling]); + + function updateTime(nextTime: number) { + setGlobalTimeSec(clampGlobalTime(nextTime, lecture.durationSec)); + } + + function handleScrubStart() { + showChrome(); + setIsVoteOverlayVisible(false); + setIsManuallyPaused(true); + setScrubState({ + isScrubbing: true, + previewTimeSec: globalTimeSec, + resumeWasManuallyPaused: isManuallyPaused + }); + } + + function handleScrubChange(nextValue: string) { + const nextTime = clampGlobalTime(Number(nextValue), lecture.durationSec); + setScrubState((currentState) => ({ + ...currentState, + previewTimeSec: nextTime + })); + updateTime(nextTime); + } + + function handleScrubEnd() { + setScrubState((currentState) => ({ + ...currentState, + isScrubbing: false + })); + } + + function handleMarkerJump(targetTimeSec: number) { + showChrome(); + setIsVoteOverlayVisible(false); + setIsManuallyPaused(true); + if (settleTimerRef.current !== null) { + window.clearTimeout(settleTimerRef.current); + settleTimerRef.current = null; + } + setIsDragging(false); + setScrubState((currentState) => ({ + ...currentState, + isScrubbing: false, + previewTimeSec: targetTimeSec + })); + setInteractionState((currentState) => ({ + ...currentState, + pointerId: null, + dragOffsetPx: 0, + isSettling: false, + previewGlitchSlideId: null + })); + updateTime(targetTimeSec); + } + + function resetInteractionState() { + if (settleTimerRef.current !== null) { + window.clearTimeout(settleTimerRef.current); + settleTimerRef.current = null; + } + setInteractionState((currentState) => ({ + ...currentState, + pointerId: null, + dragOffsetPx: 0, + isSettling: false, + previewGlitchSlideId: null + })); + setIsDragging(false); + } + + function settleTrack(targetOffsetPx: number, onComplete: () => void) { + if (settleTimerRef.current !== null) { + window.clearTimeout(settleTimerRef.current); + } + + setIsDragging(false); + setInteractionState((currentState) => ({ + ...currentState, + pointerId: null, + dragOffsetPx: targetOffsetPx, + isSettling: true + })); + + settleTimerRef.current = window.setTimeout(() => { + settleTimerRef.current = null; + onComplete(); + }, SETTLE_DURATION_MS); + } + + function handlePointerDown(event: React.PointerEvent) { + if (!activeSlide || !currentResolvedGlitchSlide) { + return; + } + + showChrome(); + setIsVoteOverlayVisible(false); + const bounds = event.currentTarget.getBoundingClientRect(); + if (typeof event.currentTarget.setPointerCapture === "function") { + event.currentTarget.setPointerCapture(event.pointerId); + } + const browseAxis = getBrowseAxis(viewportMode); + + setInteractionState({ + pointerId: event.pointerId, + startX: event.clientX, + startY: event.clientY, + dragSpan: + browseAxis === "horizontal" + ? Math.max(bounds.width, 240) + : Math.max(bounds.height, 240), + dragOffsetPx: 0, + isSettling: false, + resumeWasManuallyPaused: isManuallyPaused, + baselineGlitchSlideId: currentResolvedGlitchSlide.id, + previewGlitchSlideId: null + }); + } + + function handlePointerMove(event: React.PointerEvent) { + if (!activeSlide || interactionState.pointerId !== event.pointerId) { + return; + } + + const browseAxis = getBrowseAxis(viewportMode); + const deltaX = event.clientX - interactionState.startX; + const deltaY = event.clientY - interactionState.startY; + const primaryDelta = browseAxis === "horizontal" ? deltaX : deltaY; + + if (!isDragging && Math.abs(primaryDelta) < 24) { + return; + } + showChrome(); + + if (!isDragging) { + setIsDragging(true); + if (!interactionState.resumeWasManuallyPaused) { + emitClientEvent(onEvent, { + type: "soft_pause_started", + lectureId: lecture.id, + slideId: activeSlide.id, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } + } + + const baselineIndex = compatibleGlitchSlides.findIndex( + (candidate) => candidate.id === interactionState.baselineGlitchSlideId + ); + const clampedPrimaryDelta = Math.min( + Math.max( + primaryDelta, + -((compatibleGlitchSlides.length - 1) - Math.max(baselineIndex, 0)) * + interactionState.dragSpan + ), + Math.max(baselineIndex, 0) * interactionState.dragSpan + ); + const nextIndex = computeCandidateIndex({ + baselineIndex: baselineIndex === -1 ? 0 : baselineIndex, + dragDistance: -clampedPrimaryDelta, + totalCandidates: compatibleGlitchSlides.length, + dragSpan: interactionState.dragSpan + }); + const nextCandidate = compatibleGlitchSlides[nextIndex]; + + if ( + nextCandidate && + nextCandidate.id !== interactionState.previewGlitchSlideId && + nextCandidate.id !== interactionState.baselineGlitchSlideId + ) { + emitClientEvent(onEvent, { + type: "glitch_slide_changed", + lectureId: lecture.id, + slideId: activeSlide.id, + from: + interactionState.previewGlitchSlideId ?? + interactionState.baselineGlitchSlideId ?? + nextCandidate.id, + to: nextCandidate.id, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } + + setInteractionState((currentState) => ({ + ...currentState, + dragOffsetPx: clampedPrimaryDelta, + previewGlitchSlideId: nextCandidate?.id ?? null + })); + } + + function handlePointerEnd(pointerId: number) { + if (!activeSlide || interactionState.pointerId !== pointerId) { + resetInteractionState(); + return; + } + + const finalGlitchSlideId = + interactionState.previewGlitchSlideId ?? + interactionState.baselineGlitchSlideId ?? + currentResolvedGlitchSlide?.id ?? + null; + const baselineGlitchSlideId = + interactionState.baselineGlitchSlideId ?? currentResolvedGlitchSlide?.id ?? null; + const selectionChanged = hasSelectionChanged( + baselineGlitchSlideId, + finalGlitchSlideId + ); + + if (!isDragging) { + if (activeSlide.displayMode === "fullscreen") { + resetInteractionState(); + handleTogglePlayback(); + return; + } + + resetInteractionState(); + return; + } + + if (!selectionChanged) { + const resumeWasManuallyPaused = interactionState.resumeWasManuallyPaused; + settleTrack(0, () => { + if (!resumeWasManuallyPaused) { + emitClientEvent(onEvent, { + type: "soft_pause_ended", + lectureId: lecture.id, + slideId: activeSlide.id, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } + + if (!resumeWasManuallyPaused) { + setPendingVote(null); + } + resetInteractionState(); + }); + return; + } + + if (baselineGlitchSlideId && finalGlitchSlideId) { + setSessionSlideOverrides((currentOverrides) => ({ + ...currentOverrides, + [getOverrideKey(activeSlide.id, viewportMode)]: finalGlitchSlideId + })); + + const baselineIndex = compatibleGlitchSlides.findIndex( + (candidate) => candidate.id === baselineGlitchSlideId + ); + const finalIndex = compatibleGlitchSlides.findIndex( + (candidate) => candidate.id === finalGlitchSlideId + ); + const settleOffsetPx = + baselineIndex === -1 || finalIndex === -1 + ? 0 + : (baselineIndex - finalIndex) * interactionState.dragSpan; + const resumeWasManuallyPaused = interactionState.resumeWasManuallyPaused; + + settleTrack(settleOffsetPx, () => { + if (!resumeWasManuallyPaused) { + emitClientEvent(onEvent, { + type: "soft_pause_ended", + lectureId: lecture.id, + slideId: activeSlide.id, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } + + if (!resumeWasManuallyPaused) { + setPendingVote(null); + } + resetInteractionState(); + }); + } + } + + async function handleResume() { + setIsVoteOverlayVisible(false); + if (pendingVote) { + const vote: VoteRequest = { + lectureId: pendingVote.lectureId, + slideId: pendingVote.slideId, + previousGlitchSlideId: pendingVote.previousGlitchSlideId, + selectedGlitchSlideId: pendingVote.selectedGlitchSlideId, + sessionId, + timestamp: new Date().toISOString(), + deviceContext: createDeviceContext(viewportMode) + }; + + await onVoteCommit?.(vote); + emitClientEvent(onEvent, { + type: "vote_committed", + lectureId: vote.lectureId, + slideId: vote.slideId, + selectedGlitchSlideId: vote.selectedGlitchSlideId, + previousGlitchSlideId: vote.previousGlitchSlideId, + atSec: Number(globalTimeSec.toFixed(2)) + }); + setPendingVote(null); + } + + setIsManuallyPaused(false); + } + + async function handleSlideVote(voteDirection: VoteDirection) { + if (!activeSlide || !activeGlitchSlide || isSubmittingVote) { + return; + } + + setIsSubmittingVote(true); + setVoteChoice(voteDirection); + + const vote: VoteRequest = { + lectureId: lecture.id, + slideId: activeSlide.id, + previousGlitchSlideId: activeGlitchSlide.id, + selectedGlitchSlideId: activeGlitchSlide.id, + voteDirection, + sessionId, + timestamp: new Date().toISOString(), + deviceContext: createDeviceContext(viewportMode) + }; + + try { + await onVoteCommit?.(vote); + emitClientEvent(onEvent, { + type: "vote_committed", + lectureId: vote.lectureId, + slideId: vote.slideId, + selectedGlitchSlideId: vote.selectedGlitchSlideId, + previousGlitchSlideId: vote.previousGlitchSlideId, + voteDirection, + atSec: Number(globalTimeSec.toFixed(2)) + }); + } finally { + setIsSubmittingVote(false); + } + } + + function handleTogglePlayback() { + showChrome(); + + if (pauseMode === "playing") { + setIsManuallyPaused(true); + setVoteChoice(null); + setIsVoteOverlayVisible(true); + return; + } + + if (isManuallyPaused) { + void handleResume(); + } + } + + function renderVoteOverlay(displayMode: "square" | "fullscreen") { + if ( + !isVoteOverlayVisible || + !activeSlide || + !activeGlitchSlide || + activeSlide.displayMode !== displayMode + ) { + return null; + } + + return ( +
event.stopPropagation()} + > +
+

Rate This Slide

+
+ + +
+
+
+ ); + } + + function renderSlideLayer(displayMode: "square" | "fullscreen") { + if (!activeSlide || !activeGlitchSlide) { + if (displayMode === "fullscreen") { + return null; + } + + return ( +
+

No slide available

+

Enroll at glitch.university, and help make this slide!.

+
+ ); + } + + if (activeSlide.displayMode !== displayMode) { + if (displayMode === "fullscreen") { + return null; + } + + return ( +